1:\\n retry_timeout_seconds = retry_timeout_seconds[1:]\\n else:\\n timeout = retry_timeout_seconds\\n if max_retries > 0:\\n send_email_plugin.apply_async(args=(batch_id, event_data, addr, email_type), kwargs={\\n 'max_retries': max_retries - 1,\\n 'retry_timeout_seconds': retry_timeout_seconds,\\n 'silent': silent,\\n 'template_data': template_data}, countdown=timeout)\\n return False\\n else:\\n if not silent:\\n core_tasks.send.delay(batch_id, 'emailer.send_fail', event_data)\\n except Exception, ex:\\n if not silent:\\n core_tasks.send.delay(batch_id, 'emailer.send_fail', event_data)\\n raise\\n\\n@celery.task()\\ndef send_email_to_partner_and_set_result(addr_to, email_type, batch_id, bank_id, bank_contact_phone_general_manager,\\n bank_contact_phone, send_private_data, **tmpl_data):\\n with celery.conf['flask_app']().app_context():\\n partner = BankPartnersObject.query.filter_by(id=bank_id).first()\\n req = BankPartnerRequestObject.query.filter_by(bank_partner_id=partner.id, batch_id=batch_id).first()\\n if not req:\\n return False\\n\\n status = \\\"success\\\"\\n try:\\n if isinstance(addr_to, list):\\n for addr in addr_to:\\n send_email(addr, email_type, **tmpl_data)\\n else:\\n send_email(addr_to, email_type, **tmpl_data)\\n except Exception, ex:\\n logger = current_app.logger\\n logger.exception(u\\\"Failed to send email\\\")\\n status = \\\"failed\\\"\\n\\n BankPartnerRequestObject.query.filter_by(id=req.id, status='sending').update({\\n 'status': status,\\n 'sent_date': datetime.utcnow(),\\n 'bank_contact_phone_general_manager': bank_contact_phone_general_manager,\\n 'bank_contact_phone': bank_contact_phone,\\n 'send_private_data': send_private_data\\n })\\n\\n return status == \\\"success\\\"\\n\"\n },\n {\n \"alpha_fraction\": 0.591160237789154,\n \"alphanum_fraction\": 0.5935280323028564,\n \"avg_line_length\": 41.233333587646484,\n \"blob_id\": \"0477bedfb247fdf7c6144113af89d6bd8c69b8ce\",\n \"content_id\": \"af4eb0262730dbebaa48f2dfd2402331777682ab\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2534,\n \"license_type\": \"no_license\",\n \"max_line_length\": 117,\n \"num_lines\": 60,\n \"path\": \"/app/deployment_migrations/migrations.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport os\\nimport sys\\nfrom fw.db.sql_base import db as sqldb\\nfrom deployment_migrations.data import Migration\\nfrom deployment_migrations.models import MigrationState\\n\\n\\nclass MigrationManager(object):\\n @staticmethod\\n def migrate_to(config, logger, version=None):\\n sqldb.engine.execute(u\\\"create table if not exists migration_state (id SERIAL NOT NULL, value VARCHAR NULL);\\\")\\n cur_state = MigrationState.query.filter_by(id=1).scalar()\\n assert cur_state\\n current_version = cur_state.value\\n\\n migration_list = MigrationManager.load_migration_list(config)\\n migration_list = sorted(migration_list, key=lambda x: unicode(x))\\n\\n for migration in migration_list:\\n if current_version < migration.version:\\n # noinspection PyBroadException\\n try:\\n migration.run(config, logger)\\n except Exception:\\n logger.exception(u\\\"Failed to run migration %s. Break.\\\" % migration.version)\\n return\\n\\n # noinspection PyBroadException\\n try:\\n MigrationState.query.filter_by(id=1).update({\\n 'value': unicode(migration.version)\\n })\\n sqldb.session.commit()\\n current_version = migration.version\\n except Exception:\\n logger.exception(\\n u\\\"Failed to set current version after successfull migration %s. Break.\\\" % migration.version)\\n return\\n return current_version\\n\\n @staticmethod\\n def load_migration_list(config):\\n migrations = []\\n migrations_list_dir = config.get('MIGRATION_LIST_DIR', os.path.normpath(\\n os.path.abspath(os.path.join(os.path.dirname(__file__), 'migration_list'))))\\n sys.path.append(migrations_list_dir)\\n for file_name in os.listdir(migrations_list_dir):\\n if not os.path.splitext(file_name)[1] == '.py' or not file_name[0].isdigit():\\n continue\\n module_name = os.path.splitext(file_name)[0]\\n module = __import__(module_name)\\n forward_migration = getattr(module, 'forward')\\n rollback_migration = getattr(module, 'rollback')\\n is_skip = getattr(module, 'skip', False)\\n if is_skip:\\n continue\\n migrations.append(Migration(module_name, forward_migration, rollback_migration))\\n return migrations\\n\"\n },\n {\n \"alpha_fraction\": 0.6111580729484558,\n \"alphanum_fraction\": 0.6162827610969543,\n \"avg_line_length\": 32.62166976928711,\n \"blob_id\": \"1e60b00a941040d4306ded052a0235277114e3d3\",\n \"content_id\": \"1585995f4f3b180af2919fc8e751e90a2e0bae83\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 19126,\n \"license_type\": \"no_license\",\n \"max_line_length\": 162,\n \"num_lines\": 563,\n \"path\": \"/app/fw/api/args_validators.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\nfrom functools import wraps\\nfrom bson.objectid import ObjectId\\nimport flask\\nfrom flask import current_app, request\\nimport re\\nfrom unidecode import unidecode\\nfrom fw.api import errors\\nfrom fw.auth.models import ConfirmationLinkTypeEnum\\nfrom fw.auth.social_services.social_models import SocialServiceEnum\\n\\n\\nclass ArgumentValidator(object):\\n def __init__(self, required=True, default_value=None, min_length=None, max_length=None, raise_exception=None):\\n self.required = required\\n self.default_value = default_value\\n self.min_length = min_length\\n self.max_length = max_length\\n self.application = None\\n self.raise_exception = raise_exception\\n if self.default_value and not self._validate(self.default_value):\\n raise ValueError(default_value)\\n\\n def validation_result(self, result):\\n if not result and self.raise_exception:\\n raise self.raise_exception()\\n return result\\n\\n def validate(self, argument):\\n return self._validate(argument)\\n\\n def _validate(self, argument):\\n if self.required and argument is None:\\n return self.validation_result(False)\\n\\n if argument is None:\\n return self.validation_result(False)\\n\\n if self.min_length and len(argument) < self.min_length:\\n return self.validation_result(False)\\n\\n if self.max_length and len(argument) > self.max_length:\\n return self.validation_result(False)\\n\\n return self.validation_result(True)\\n\\n def get_value(self, argument):\\n if argument is None:\\n return self.default_value\\n return argument\\n\\n def __or__(self, other):\\n if not isinstance(other, ArgumentValidator):\\n raise ValueError(\\\"Invalid argument\\\")\\n\\n return OneOfTypeArgumentValidator(self, other)\\n\\n\\nclass OneOfTypeArgumentValidator(ArgumentValidator):\\n # noinspection PyMissingConstructor\\n def __init__(self, validator1, validator2):\\n super(OneOfTypeArgumentValidator, self).__init__()\\n\\n self.val1 = validator1\\n self.val2 = validator2\\n\\n self.val1.required = False\\n self.val2.required = False\\n\\n def validate(self, argument):\\n self.val1.application = self.application\\n self.val2.application = self.application\\n return self.validation_result(self.val1.validate(argument) or self.val2.validate(argument))\\n\\n def get_value(self, argument):\\n if argument is None:\\n return False\\n if self.val1.validate(argument):\\n return self.val1.get_value(argument)\\n return self.val2.get_value(argument)\\n\\n\\ndef _validate(arg_name, validator, required_args):\\n if isinstance(validator, ArgumentValidator):\\n validator.application = current_app\\n try:\\n if not len(request.form) and not len(request.args) and request.data:\\n from werkzeug.urls import url_decode\\n\\n args = url_decode(request.data)\\n if arg_name not in args:\\n raise KeyError(arg_name)\\n value = args[arg_name]\\n else:\\n value = request.form[arg_name] if arg_name in request.form else request.args[arg_name]\\n if not validator.validate(value):\\n raise errors.InvalidParameterValue(arg_name)\\n except KeyError:\\n if validator.required:\\n raise errors.MissingRequiredParameter(arg_name)\\n value = validator.default_value\\n required_args[arg_name] = validator.get_value(value) if value is not None else None\\n else:\\n raise ValueError(\\\"Invalid parameter in argument validator description: %s\\\" % str(validator))\\n\\n\\ndef validate_arguments(*arguments_list, **arguments_dict):\\n def _decorator(function):\\n wrapped = function\\n\\n @wraps(function)\\n def wrapper():\\n required_args = {}\\n for arg_name, validator in arguments_dict.items():\\n _validate(arg_name, validator, required_args)\\n\\n for validator in arguments_list:\\n if isinstance(validator, AtLeastOneOfValidator):\\n if not validator.arguments_dict:\\n raise ValueError(\\n \\\"Invalid parameter in argument validator description: AtLeastOneOfValidator has no items.\\\")\\n\\n required_args_part = {}\\n first_arg_name = u\\\"\\\"\\n for arg_name, single_validator in validator.arguments_dict.items():\\n single_validator.required = False\\n single_validator.default = None\\n if not first_arg_name:\\n first_arg_name = arg_name\\n _validate(arg_name, single_validator, required_args_part)\\n if not required_args_part:\\n raise errors.MissingRequiredParameter(first_arg_name)\\n required_args.update(required_args_part)\\n\\n return wrapped(**required_args)\\n\\n return wrapper\\n\\n return _decorator\\n\\n\\n\\nclass AtLeastOneOfValidator(object):\\n def __init__(self, **kwargs):\\n self.arguments_dict = kwargs\\n\\n\\nclass IntValidator(ArgumentValidator):\\n def __init__(self, min_val=None, max_val=None, **kwargs):\\n super(IntValidator, self).__init__(**kwargs)\\n self.min_val = min_val\\n self.max_val = max_val\\n\\n def validate(self, argument):\\n if not super(IntValidator, self).validate(argument):\\n return False\\n\\n try:\\n int_val = int(argument)\\n except ValueError:\\n return False\\n\\n if self.min_val is not None:\\n if int_val < self.min_val:\\n return False\\n\\n if self.max_val is not None:\\n if int_val > self.max_val:\\n return False\\n\\n return True\\n\\n def get_value(self, argument):\\n return int(argument)\\n\\n\\nclass ClientTypeValidator(ArgumentValidator):\\n CLIENT_TYPES = ('android', 'ios')\\n\\n def validate(self, argument):\\n if not super(ClientTypeValidator, self).validate(argument):\\n return False\\n return self.validation_result(argument in ClientTypeValidator.CLIENT_TYPES)\\n\\n\\nclass EmailAddressValidator(ArgumentValidator):\\n def __init__(self, max_length=100, **kwargs):\\n self.max_length = max_length\\n super(EmailAddressValidator, self).__init__(**kwargs)\\n\\n def validate(self, argument):\\n if not super(EmailAddressValidator, self).validate(argument):\\n return False\\n\\n rus_chars = u\\\"абвгдеёжзийклмнопрстуфхцчшщьыъэюяАБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЬЫЪЭЮЯ\\\"\\n email_re = ur\\\"^[a-zA-Z\\\" + rus_chars + ur\\\"0-9._%\\\\-+]+\\\\@[a-zA-Z\\\" + rus_chars + ur\\\"0-9._%-]+\\\\.[a-zA-Z\\\" + rus_chars + ur\\\"]{2,}$\\\"\\n if re.match(email_re, argument, re.IGNORECASE) is not None:\\n return True\\n\\n email_re = r\\\"^.*\\\\<[a-zA-Z\\\" + rus_chars + ur\\\"0-9._%\\\\-+]+\\\\@[a-zA-Z\\\" + rus_chars + ur\\\"0-9._%-]+\\\\.[a-zA-Z\\\" + rus_chars + ur\\\"]{2,}>$\\\"\\n return self.validation_result(re.match(email_re, argument, re.IGNORECASE) is not None)\\n\\n\\nclass MobileNumberValidator(ArgumentValidator):\\n def __init__(self, max_length=20, **kwargs):\\n self.max_length = max_length\\n super(MobileNumberValidator, self).__init__(**kwargs)\\n\\n def validate(self, argument):\\n if not super(MobileNumberValidator, self).validate(argument):\\n return False\\n\\n return self.validation_result(\\n (argument[0] == '+' and argument[1:].isdigit()) or (argument.isdigit() and argument[0] == \\\"8\\\"))\\n\\n def get_value(self, argument):\\n if not argument or len(argument) < 2:\\n return argument\\n return (\\\"+7\\\" + argument[1:]) if argument[0] == '8' else argument\\n\\n\\nclass HumanNameValidator(ArgumentValidator):\\n ALLOWED_CHARS = u'.,-\\\\'\\\" абвгдеёжзийклмнопрстуфхцчшщьыъэюяАБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЬЫЪЭЮЯ0123456789'\\n ALLOWED_CHARS_ENG = u'.,-\\\\'\\\" абвгдеёжзийклмнопрстуфхцчшщьыъэюяАБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЬЫЪЭЮЯ0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'\\n\\n def __init__(self, max_length=100, allow_english_chars=False, **kwargs):\\n self.max_length = max_length\\n self.allow_english_chars = allow_english_chars\\n super(HumanNameValidator, self).__init__(**kwargs)\\n\\n def validate(self, argument):\\n if not super(HumanNameValidator, self).validate(argument):\\n return False\\n\\n name = argument.strip()\\n if not name:\\n return self.validation_result(False)\\n\\n if self.max_length is not None and len(name) > self.max_length:\\n return self.validation_result(False)\\n\\n test_set = HumanNameValidator.ALLOWED_CHARS if not self.allow_english_chars else HumanNameValidator.ALLOWED_CHARS_ENG\\n for c in name:\\n if c not in test_set:\\n return self.validation_result(False)\\n return True\\n\\n def get_value(self, argument):\\n return argument.strip()\\n\\n\\nclass LoginValidator(ArgumentValidator):\\n def __init__(self, max_length=20, min_length=5, **kwargs):\\n self.max_length = max_length\\n self.min_length = min_length\\n super(LoginValidator, self).__init__(**kwargs)\\n\\n def validate(self, argument):\\n if not super(LoginValidator, self).validate(argument):\\n return False\\n\\n name = argument.strip()\\n if not name:\\n return self.validation_result(False)\\n\\n if self.max_length is not None and len(name) > self.max_length:\\n return self.validation_result(False)\\n\\n for c in name:\\n if c.lower() not in 'abcdefghijklmnopqrstuvwxyz0123456789':\\n return self.validation_result(False)\\n return True\\n\\n def get_value(self, argument):\\n return argument.strip()\\n\\n\\nclass PasswordValidator(ArgumentValidator):\\n def __init__(self, min_length=6, max_length=32, **kwargs):\\n super(PasswordValidator, self).__init__(min_length=min_length, max_length=max_length, **kwargs)\\n\\n\\nclass AccessTokenValidator(ArgumentValidator):\\n def __init__(self, min_length=40, max_length=300, **kwargs):\\n self.min_length = min_length\\n self.max_length = max_length\\n super(AccessTokenValidator, self).__init__(**kwargs)\\n\\n def validate(self, argument):\\n if not super(AccessTokenValidator, self).validate(argument):\\n return False\\n\\n if '@' in argument or '+' in argument:\\n return self.validation_result(False)\\n\\n return True\\n\\n\\nclass FloatTypeValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(FloatTypeValidator, self).validate(argument):\\n return False\\n\\n try:\\n float(argument)\\n except ValueError:\\n return self.validation_result(False)\\n\\n return True\\n\\n def get_value(self, argument):\\n return float(argument)\\n\\n\\nclass BoolTypeValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(BoolTypeValidator, self).validate(argument):\\n return False\\n\\n if argument.lower() in (\\\"true\\\", \\\"t\\\", \\\"false\\\", \\\"f\\\"):\\n return True\\n\\n return self.validation_result(False)\\n\\n def get_value(self, argument):\\n argument = argument.lower()\\n if not argument:\\n return None\\n elif argument in (\\\"true\\\", \\\"t\\\"):\\n return True\\n elif argument in (\\\"false\\\", \\\"f\\\"):\\n return False\\n\\n return None\\n\\n\\nclass CarNumberValidator(ArgumentValidator):\\n # basic number\\n CAR_NUMBER_RE1 = r\\\"^\\\\w{1}\\\\d{3}\\\\w{2} \\\\d{2,3}$\\\"\\n # commercial transport\\n CAR_NUMBER_RE2 = r\\\"^\\\\w{2}\\\\d{4} \\\\d{2,3}$\\\"\\n\\n def validate(self, argument):\\n if not super(CarNumberValidator, self).validate(argument):\\n return False\\n\\n argument = unidecode(argument).upper()\\n number_matched = re.match(CarNumberValidator.CAR_NUMBER_RE1, argument, re.IGNORECASE) or \\\\\\n re.match(CarNumberValidator.CAR_NUMBER_RE2, argument, re.IGNORECASE) or None\\n if number_matched is None:\\n return self.validation_result(False)\\n return True\\n\\n def get_value(self, argument):\\n argument = unidecode(argument).upper()\\n return unicode(argument)\\n\\n\\nclass DateTimeValidator(ArgumentValidator):\\n FORMAT = '%Y-%m-%dT%H:%M:%S'\\n\\n def validate(self, argument):\\n if not super(DateTimeValidator, self).validate(argument):\\n return False\\n\\n if \\\".\\\" in argument:\\n tmpl = '%Y-%m-%dT%H:%M:%S.%f'\\n else:\\n tmpl = '%Y-%m-%dT%H:%M:%S'\\n try:\\n datetime.strptime(argument, tmpl)\\n except ValueError:\\n return self.validation_result(False)\\n return True\\n\\n def get_value(self, argument):\\n if \\\".\\\" in argument:\\n tmpl = '%Y-%m-%dT%H:%M:%S.%f'\\n else:\\n tmpl = '%Y-%m-%dT%H:%M:%S'\\n return datetime.strptime(argument, tmpl)\\n\\n\\nclass DateTypeValidator(ArgumentValidator):\\n FORMAT = '%Y-%m-%d'\\n\\n def validate(self, argument):\\n if not super(DateTypeValidator, self).validate(argument):\\n return False\\n\\n try:\\n datetime.strptime(argument, DateTypeValidator.FORMAT)\\n except ValueError:\\n return self.validation_result(False)\\n return True\\n\\n def get_value(self, argument):\\n return datetime.strptime(argument, DateTypeValidator.FORMAT)\\n\\n\\nclass PhotoDocListValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(PhotoDocListValidator, self).validate(argument):\\n return False\\n\\n try:\\n data = flask.json.loads(argument)\\n except ValueError:\\n # raise ValueError(str(argument) + \\\" \\\" + str(type(argument)))\\n return self.validation_result(False)\\n\\n if not isinstance(data, list):\\n return self.validation_result(False)\\n\\n for photo in data:\\n # print str(photo)\\n if \\\"id\\\" in photo and \\\"shoot_time\\\" in photo and \\\"coord\\\" in photo:\\n try:\\n unicode(photo['id'])\\n except ValueError:\\n return self.validation_result(False)\\n # check shoot time\\n if not DateTimeValidator().validate(photo['shoot_time']):\\n return self.validation_result(False)\\n # check coords\\n coord = photo['coord']\\n if not isinstance(coord, dict):\\n return self.validation_result(False)\\n if not \\\"lat\\\" in coord or not \\\"lon\\\" in coord:\\n return self.validation_result(False)\\n if not FloatTypeValidator().validate(coord['lat']) or not FloatTypeValidator().validate(coord['lon']):\\n return self.validation_result(False)\\n else:\\n return self.validation_result(False)\\n return True\\n\\n def get_value(self, argument):\\n data_list = flask.json.loads(argument)\\n for data in data_list:\\n data['id'] = unicode(data['id'])\\n data['shoot_time'] = DateTimeValidator().get_value(data['shoot_time'])\\n data['coord']['lat'] = FloatTypeValidator().get_value(data['coord']['lat'])\\n data['coord']['lon'] = FloatTypeValidator().get_value(data['coord']['lon'])\\n return data_list\\n\\n\\nclass ConfirmationCodeValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(ConfirmationCodeValidator, self).validate(argument):\\n return False\\n\\n code_len = len(argument)\\n if code_len == self.application.config['max_activation_link_length']:\\n return self.validation_result(argument.isalnum())\\n\\n if code_len == self.application.config['digital_activation_link_length']:\\n return self.validation_result(argument.isdigit())\\n\\n return self.validation_result(False)\\n\\n\\nclass JsonValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(JsonValidator, self).validate(argument):\\n return False\\n\\n try:\\n flask.json.loads(argument)\\n except Exception:\\n return False\\n\\n return True\\n\\n def get_value(self, argument):\\n try:\\n return flask.json.loads(argument)\\n except Exception:\\n return None\\n\\n\\nclass SocialNetworkTypeValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(SocialNetworkTypeValidator, self).validate(argument):\\n return False\\n\\n return self.validation_result(argument in SocialServiceEnum.TAG_ALL)\\n\\n\\nclass ObjectIdValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(ObjectIdValidator, self).validate(argument):\\n return False\\n\\n try:\\n ObjectId(argument)\\n except Exception:\\n return self.validation_result(False)\\n\\n return True\\n\\n def get_value(self, argument):\\n return ObjectId(argument)\\n\\n\\nclass ObjectRefValidator(ArgumentValidator):\\n def validate(self, argument):\\n if not super(ObjectRefValidator, self).validate(argument):\\n return False\\n\\n if \\\"_\\\" in argument:\\n try:\\n _id, _type = argument.split('_')\\n obj_id = ObjectId(_id)\\n except Exception:\\n return self.validation_result(False)\\n else:\\n try:\\n obj_id = ObjectId(argument)\\n except Exception:\\n return self.validation_result(False)\\n\\n return True\\n\\n def get_value(self, argument):\\n _id, _type = argument.split('_')\\n return ObjectId(_id)\\n\\n\\nclass ConfirmationCodeTypeValidator(ArgumentValidator):\\n CODE_TYPES = ('email', 'mobile', 'password')\\n\\n def validate(self, argument):\\n if not super(ConfirmationCodeTypeValidator, self).validate(argument):\\n return False\\n return self.validation_result(argument in ConfirmationCodeTypeValidator.CODE_TYPES)\\n\\n def get_value(self, argument):\\n return ConfirmationLinkTypeEnum.from_string(argument) or None\\n\\n\\nclass EnumValidator(ArgumentValidator):\\n def __init__(self, enum_cls, **kwargs):\\n super(EnumValidator, self).__init__(**kwargs)\\n self.enum_cls = enum_cls\\n\\n def validate(self, argument):\\n cls = getattr(self.enum_cls, 'TYPE_CLS', unicode)\\n return self.validation_result(self.enum_cls.validate(cls(argument)))\\n\\n\\nclass MyObjectValidator(object):\\n def __init__(self, user_id):\\n self.user_id = user_id\\n\\n def validate(self, base_obj_field):\\n if not base_obj_field.id.initialized:\\n return True\\n owner = base_obj_field.get_object_owner()\\n if not owner or owner != self.user_id:\\n current_app.logger.warn(u\\\"Not my object\\\")\\n return False\\n return True\"\n },\n {\n \"alpha_fraction\": 0.6623610854148865,\n \"alphanum_fraction\": 0.6644638180732727,\n \"avg_line_length\": 26.75,\n \"blob_id\": \"37098dd6f49c21016545415509e3af0e5a5c5b23\",\n \"content_id\": \"5e28999fafdc756cedc380947ccafefe14157602\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3329,\n \"license_type\": \"no_license\",\n \"max_line_length\": 135,\n \"num_lines\": 120,\n \"path\": \"/app/fw/auth/models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom bson.objectid import ObjectId\\nfrom flask import current_app\\nfrom sqlalchemy.sql.functions import func\\nfrom sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey\\nfrom sqlalchemy.orm import relationship\\n\\nfrom fw.db.sql_base import db\\n\\n\\nclass AnonymousUser(object):\\n\\n @property\\n def is_anonymous(self):\\n return True\\n\\n\\nclass AuthUser(db.Model):\\n\\n __tablename__ = 'authuser'\\n\\n id = Column(Integer, primary_key=True)\\n uuid = Column(String, unique=True, default=lambda: unicode(ObjectId()))\\n name = Column(String)\\n surname = Column(String)\\n patronymic = Column(String)\\n password = Column(String)\\n enabled = Column(Boolean, default=True)\\n signup_date = Column(DateTime, default=func.now(), nullable=False)\\n last_login_date = Column(DateTime)\\n\\n email_confirmed = Column(Boolean, nullable=False, default=False)\\n mobile_confirmed = Column(Boolean, nullable=False, default=False)\\n email = Column(String)\\n mobile = Column(String)\\n\\n is_tester = Column(Boolean, nullable=False, default=False)\\n temporal = Column(Boolean, nullable=False, default=False)\\n last_password_drop_attempts_date = Column(DateTime)\\n last_password_drop_attempts_count = Column(Integer)\\n\\n admin = Column(Boolean, default=False)\\n\\n @property\\n def is_anonymous(self):\\n return False\\n\\n @property\\n def is_active(self):\\n #return self.enabled\\n return True\\n\\n @property\\n def is_authenticated(self):\\n return True\\n\\n def get_id(self):\\n return self.id\\n\\n @property\\n def user_id(self):\\n return self.get_id()\\n\\n\\nclass UserActivationLink(db.Model):\\n\\n __tablename__ = \\\"useractivationlink\\\"\\n\\n id = Column(Integer, primary_key=True)\\n\\n auth_user_id = Column(Integer, ForeignKey('authuser.id'))\\n auth_user = relationship(\\\"AuthUser\\\")\\n\\n use_attempts = Column(Integer, default=0, nullable=False)\\n new_email = Column(String)\\n new_mobile = Column(String)\\n\\n link_code = Column(String, nullable=False)\\n creation_date = Column(DateTime, default=func.now(), nullable=False)\\n used_date = Column(DateTime)\\n link_type = Column(Integer, nullable=False)\\n\\n\\nclass ConfirmationLinkTypeEnum(object):\\n\\n CLT_INVALID = 0\\n CLT_EMAIL = 1\\n CLT_MOBILE = 2\\n CLT_PASSWORD = 3\\n CLT_ALL = [CLT_EMAIL, CLT_MOBILE, CLT_PASSWORD]\\n\\n @classmethod\\n def from_string(cls, val):\\n if val == 'email':\\n return cls.CLT_EMAIL\\n if val == 'mobile':\\n return cls.CLT_MOBILE\\n if val == 'password':\\n return cls.CLT_PASSWORD\\n return cls.CLT_INVALID\\n\\n\\nclass AuthorizationUrl(db.Model):\\n\\n __tablename__ = \\\"authorization_url\\\"\\n\\n id = Column(String, primary_key=True, default=lambda: unicode(ObjectId()))\\n url = Column(String)\\n created = Column(DateTime, default=func.now(), nullable=False)\\n expire_at = Column(DateTime, nullable=False)\\n used_times = Column(Integer, default=0, nullable=False)\\n\\n owner_id = Column(Integer, ForeignKey('authuser.id'))\\n owner = relationship(\\\"AuthUser\\\")\\n\\n def get_url(self, config):\\n return u\\\"%s://%s/go/%s/\\\" % (config['WEB_SCHEMA'], config['api_url'], self.id) if config['WEB_SCHEMA'] else u\\\"/go/%s/\\\" % self.id\\n\\n def __unicode__(self):\\n return self.get_url(current_app.config)\"\n },\n {\n \"alpha_fraction\": 0.6883683204650879,\n \"alphanum_fraction\": 0.6891855001449585,\n \"avg_line_length\": 39.340660095214844,\n \"blob_id\": \"66d29e1e9ec2b1ddbfe786235d03077628e433c6\",\n \"content_id\": \"9f19101731c5f8bb18b5dd78d7ba8d87d028c410\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3671,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 91,\n \"path\": \"/app/services/osago/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport os\\nimport jinja2\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.doc_requisites_storage import DocRequisitiesStorage\\nfrom fw.documents.enums import DocumentBatchTypeEnum, DocumentTypeEnum\\nfrom services.osago.osago_manager import OsagoBatchManager\\n\\n\\ndef _init_doc_requisities(config):\\n from services.osago.documents.initial_db_data import load_data\\n data = load_data(config)\\n\\n templates = (\\n \\\"OSAGO_MAIL_LIST_TEMPLATE\\\",\\n \\\"OSAGO_PRETENSION_TEMPLATE\\\",\\n \\\"OSAGO_DOCUMENTS_CLAIM_TEMPLATE\\\",\\n \\\"OSAGO_TRUST_SUBMISSION_DOCS_TEMPLATE\\\",\\n \\\"OSAGO_TRUST_OBTAIN_DOCS_TEMPLATE\\\",\\n \\\"OSAGO_TRUST_SUBMISION_OBTAIN_DOCS_TEMPLATE\\\",\\n \\\"OSAGO_CLAIM_COURT_ABSENT_TEMPLATE\\\",\\n \\\"OSAGO_CLAIM_ALL_EXECUTION_ACT_TEMPLATE\\\",\\n \\\"OSAGO_CLAIM_GUILTY_EXECUTION_ACT_TEMPLATE\\\",\\n \\\"OSAGO_CLAIM_INSURANCE_EXECUTION_ACT_TEMPLATE\\\",\\n \\\"OSAGO_LAWSUIT_TEMPLATE\\\",\\n \\\"OSAGO_OSAGO_COURT_MAIL_LIST_TEMPLATE\\\"\\n )\\n\\n for template_name in templates:\\n DocRequisitiesStorage.add_template(data[template_name]['doc_name'], data[template_name])\\n\\n schemas = (\\n \\\"OSAGO_SCHEMA\\\",\\n \\\"OSAGO_MAIL_LIST_SCHEMA\\\",\\n \\\"OSAGO_PRETENSION_SCHEMA\\\",\\n \\\"OSAGO_DOCUMENTS_CLAIM_SCHEMA\\\",\\n \\\"OSAGO_TRUST_SUBMISSION_DOCS_SCHEMA\\\",\\n \\\"OSAGO_TRUST_OBTAIN_DOCS_SCHEMA\\\",\\n \\\"OSAGO_TRUST_SUBMISION_OBTAIN_DOCS_SCHEMA\\\",\\n \\\"OSAGO_CLAIM_COURT_ABSENT_SCHEMA\\\",\\n \\\"OSAGO_CLAIM_ALL_EXECUTION_ACT_SCHEMA\\\",\\n \\\"OSAGO_CLAIM_GUILTY_EXECUTION_ACT_SCHEMA\\\",\\n \\\"OSAGO_CLAIM_INSURANCE_EXECUTION_ACT_SCHEMA\\\",\\n \\\"OSAGO_LAWSUIT_SCHEMA\\\",\\n \\\"OSAGO_OSAGO_COURT_MAIL_LIST_SCHEMA\\\"\\n )\\n\\n for schema_name in schemas:\\n DocRequisitiesStorage.add_schema(data[schema_name]['doc_name'], data[schema_name])\\n\\n bd = dict(\\n batch_type=DocumentBatchTypeEnum.DBT_OSAGO,\\n doc_types=[\\n DocumentTypeEnum.DT_OSAGO_MAIL_LIST,\\n DocumentTypeEnum.DT_OSAGO_PRETENSION,\\n DocumentTypeEnum.DT_OSAGO_DOCUMENTS_CLAIM,\\n DocumentTypeEnum.DT_OSAGO_TRUST_SUBMISSION_DOCS,\\n DocumentTypeEnum.DT_OSAGO_TRUST_OBTAIN_DOCS,\\n DocumentTypeEnum.DT_OSAGO_TRUST_SUBMISION_OBTAIN_DOCS,\\n\\n DocumentTypeEnum.DT_OSAGO_CLAIM_COURT_ABSENT,\\n DocumentTypeEnum.DT_OSAGO_CLAIM_ALL_EXECUTION_ACT,\\n DocumentTypeEnum.DT_OSAGO_CLAIM_GUILTY_EXECUTION_ACT,\\n DocumentTypeEnum.DT_OSAGO_CLAIM_INSURANCE_EXECUTION_ACT,\\n DocumentTypeEnum.DT_OSAGO_LAWSUIT,\\n DocumentTypeEnum.DT_OSAGO_COURT_MAIL_LIST\\n ],\\n result_fields=data['OSAGO_RESULT_FIELDS'],\\n fields=data['OSAGO_SCHEMA']['fields'],\\n initial_status='pretension',\\n actions=data['OSAGO_ACTIONS'],\\n transitions=data['OSAGO_TRANSITIONS'],\\n validation_condition=data['VALIDATION_CONDITION'],\\n fixed_on_states=['generating_pretension', 'generating_claim']\\n )\\n\\n DocRequisitiesStorage.add_batch_descriptor(DocumentBatchTypeEnum.DBT_OSAGO, bd)\\n\\n\\ndef register(app, jinja_env, class_loader, **kwargs):\\n search_path = os.path.normpath(os.path.join(os.path.abspath(os.path.dirname(__file__)), u\\\"templates\\\"))\\n jinja_env.loader.loaders.append(jinja2.FileSystemLoader(search_path))\\n\\n class_loader.POSSIBLE_LOCATIONS.append('services.osago.documents')\\n class_loader.POSSIBLE_LOCATIONS.append('services.osago.documents.enums')\\n class_loader.POSSIBLE_LOCATIONS.append('services.osago.documents.general_doc_fields')\\n\\n BatchManager.register_manager(DocumentBatchTypeEnum.DBT_OSAGO, OsagoBatchManager)\\n\\n _init_doc_requisities(app.config)\\n\"\n },\n {\n \"alpha_fraction\": 0.7158798575401306,\n \"alphanum_fraction\": 0.716738224029541,\n \"avg_line_length\": 26.738094329833984,\n \"blob_id\": \"783916a11723fd6c915b373bb9610a3328e614a5\",\n \"content_id\": \"e61d8137b1a5d4b7079ad8b7dad0e0ba7eddcea3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1165,\n \"license_type\": \"no_license\",\n \"max_line_length\": 99,\n \"num_lines\": 42,\n \"path\": \"/app/fw/db/sql_base.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom datetime import datetime\\nimport calendar\\n# noinspection PyUnresolvedReferences\\nfrom flask.ext.sqlalchemy import SQLAlchemy\\nimport json\\nfrom bson import ObjectId\\nfrom sqlalchemy import func\\n\\nCUSTOM_SERIALIZERS = {\\n datetime: lambda dt: {\\\"custom_type\\\": \\\"datetime\\\", \\\"val\\\": calendar.timegm(dt.timetuple())},\\n ObjectId: lambda oid: unicode(oid)\\n}\\n\\ndef raiser(val):\\n raise TypeError(val)\\n\\n\\ndef custom_json_serializer(data, **kwargs):\\n return json.dumps(data, default=lambda x: CUSTOM_SERIALIZERS.get(type(x), raiser)(x), **kwargs)\\n\\n\\ndef custom_obj_parser(obj):\\n if 'custom_type' in obj and 'val' in obj and obj['custom_type'] == 'datetime':\\n return datetime.utcfromtimestamp(obj['val'])\\n return obj\\n\\n\\ndef custom_json_deserializer(data):\\n return json.loads(data, object_hook=custom_obj_parser)\\n\\n\\nclass CustomSQLAlchemy(SQLAlchemy):\\n\\n def apply_driver_hacks(self, app, info, options):\\n super(CustomSQLAlchemy, self).apply_driver_hacks(app, info, options)\\n\\n options['json_serializer'] = custom_json_serializer\\n options['json_deserializer'] = custom_json_deserializer\\n\\ndb = CustomSQLAlchemy()\\n\"\n },\n {\n \"alpha_fraction\": 0.6942496299743652,\n \"alphanum_fraction\": 0.6949509382247925,\n \"avg_line_length\": 31.409090042114258,\n \"blob_id\": \"7cae562cce1d62db3910493aa53dc491a751bc93\",\n \"content_id\": \"679830ebc3832e8da4ae8e7f2b538ee1e22ae228\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1426,\n \"license_type\": \"no_license\",\n \"max_line_length\": 128,\n \"num_lines\": 44,\n \"path\": \"/app/services/russian_post/db_models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom sqlalchemy import Column, String, ForeignKey, Unicode, Integer, DateTime, Index\\nfrom sqlalchemy.orm import relationship\\nfrom sqlalchemy.sql.functions import func\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\nclass PostTrackingStatus(object):\\n\\n PTS_UNKNOWN = 'unknown'\\n PTS_NOT_FOUND = 'not_found'\\n PTS_PROGRESS = 'progress'\\n PTS_DELIVERED = 'delivered'\\n PTS_FAILED = 'failed'\\n\\n\\nclass RussianPostTrackingItem(sqldb.Model):\\n __tablename__ = 'rus_post_tracking'\\n\\n id = Column(Integer, primary_key=True)\\n\\n tracking = Column(Unicode, nullable=False)\\n\\n creation_date = Column(DateTime, default=func.now(), nullable=False)\\n\\n batch_id = Column(String, ForeignKey('doc_batch.id'), nullable=True)\\n batch = relationship(\\\"DocumentBatchDbObject\\\")\\n\\n owner_id = Column(Integer, ForeignKey('authuser.id'), nullable=False)\\n owner = relationship(\\\"AuthUser\\\")\\n\\n status = Column(String, default=PostTrackingStatus.PTS_UNKNOWN, nullable=False)\\n status_caption = Column(Unicode, nullable=False, default=u\\\"\\\")\\n\\n status_change_dt = Column(DateTime, nullable=True)\\n last_check_dt = Column(DateTime, nullable=True)\\n\\n last_location = Column(Unicode, nullable=True)\\n\\n tracking_type = Column(String, nullable=True) # reserved (for batches with multiple tracks)\\n\\n __table_args__ = (Index('batch_tracking_index', \\\"tracking\\\", \\\"batch_id\\\"), )\\n\"\n },\n {\n \"alpha_fraction\": 0.6460321545600891,\n \"alphanum_fraction\": 0.6463049054145813,\n \"avg_line_length\": 38.01063919067383,\n \"blob_id\": \"e378c4178d1dee1917cd355e5c2ce3e11a3292cf\",\n \"content_id\": \"55c9ec50f42ae1ca432210c05430884a61879142\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3673,\n \"license_type\": \"no_license\",\n \"max_line_length\": 149,\n \"num_lines\": 94,\n \"path\": \"/app/fw/plugins/task_scheduler/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom copy import copy\\nfrom datetime import datetime\\n\\nfrom fw.async_tasks.scheduler import CeleryScheduler\\nfrom fw.documents.address_enums import RFRegionsEnum\\nfrom fw.documents.doc_requisites_storage import DocRequisitiesStorage\\nfrom fw.documents.schema.schema_transform import transform_field_with_schema\\nfrom fw.utils.time_utils import calc_fixed_time_not_earlier\\n\\nPLUGIN_NAME = 'task_scheduler'\\n\\n\\ndef get_events():\\n events = [{\\n 'name': 'schedule'\\n }]\\n return events\\n\\ndef act(action, batch_db, previous_event_data, plugin_config, logger, config):\\n assert batch_db\\n if action != 'schedule':\\n logger.error(u\\\"Invalid action %s for task_scheduler plugin\\\" % action)\\n return False\\n\\n descriptor_name, task_to_schedule = plugin_config['action'].split('.')\\n descriptor = DocRequisitiesStorage.get_batch_descriptor(descriptor_name)\\n assert descriptor\\n batch_actions = descriptor.get('actions') or {}\\n if task_to_schedule not in batch_actions:\\n logger.error(u\\\"Invalid task name %s for task_scheduler plugin\\\" % task_to_schedule)\\n return False\\n\\n source_data = copy(plugin_config)\\n source_data['<batch>'] = batch_db\\n source_data['<app_config>'] = config\\n source_data['<current_user>'] = batch_db._owner\\n source_data['<previous_event_data>'] = previous_event_data\\n\\n task_id = plugin_config.get('task_id', None)\\n\\n if task_id and isinstance(task_id, dict):\\n task_id = transform_field_with_schema(source_data, task_id).db_value()\\n\\n dt_type = plugin_config['dt_type']\\n\\n event_data = {\\n 'task_to_schedule': task_to_schedule,\\n 'dt_type': dt_type,\\n '<action_dt>': datetime.utcnow(),\\n }\\n\\n if dt_type == 'exact_time_every_day':\\n dt_format = plugin_config['dt_format']\\n dt_exact_time = plugin_config['dt_exact_time']\\n dt_time_zone_region = plugin_config.get('dt_time_zone_region', u'Москва')\\n dt_not_earlier = plugin_config.get('dt_not_earlier', None)\\n\\n if dt_format and isinstance(dt_format, dict):\\n dt_format = transform_field_with_schema(source_data, dt_format).db_value()\\n if dt_exact_time and isinstance(dt_exact_time, dict):\\n dt_exact_time = transform_field_with_schema(source_data, dt_exact_time).db_value()\\n if dt_time_zone_region and isinstance(dt_time_zone_region, dict):\\n dt_time_zone_region = transform_field_with_schema(source_data, dt_time_zone_region)\\n if dt_time_zone_region:\\n dt_time_zone_region = dt_time_zone_region.db_value()\\n if dt_not_earlier and isinstance(dt_not_earlier, dict):\\n dt_not_earlier = transform_field_with_schema(source_data, dt_not_earlier).db_value()\\n\\n tz_name = RFRegionsEnum.get_time_zone(dt_time_zone_region) or \\\"Europe/Moscow\\\"\\n now = datetime.utcnow()\\n dt = calc_fixed_time_not_earlier(now, dt_exact_time, dt_not_earlier - now, tz_name)\\n\\n event_data.update({\\n 'dt': dt,\\n 'dt_format': dt_format,\\n 'dt_time_zone_region': dt_time_zone_region,\\n 'dt_not_earlier': dt_not_earlier,\\n 'tz_name': tz_name\\n })\\n else:\\n raise NotImplementedError()\\n\\n try:\\n new_task = CeleryScheduler.post('fw.async_tasks.scheduler.run_scheduled_task', eta=dt, args=(descriptor_name, task_to_schedule, batch_db.id),\\n task_id=task_id, force_replace_task=True)\\n event_data['task_id'] = new_task.id\\n except Exception:\\n logger.exception(u\\\"Failed to schedule task\\\")\\n return False\\n return True\\n\\ndef register(class_loader):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.3452831208705902,\n \"alphanum_fraction\": 0.35497042536735535,\n \"avg_line_length\": 54.97810363769531,\n \"blob_id\": \"b3118e700445ddeffdf6d4f45e59c37a7c139508\",\n \"content_id\": \"520d197471aaa5af763fee3955c8b0389aaf0f40\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 298819,\n \"license_type\": \"no_license\",\n \"max_line_length\": 149,\n \"num_lines\": 5298,\n \"path\": \"/app/services/llc_reg/documents/initial_db_data.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom copy import deepcopy\\nimport copy\\nimport os\\nfrom fw.documents.enums import DocumentTypeEnum, BatchStatusEnum, DocumentKindEnum, TaxType, DocumentBatchTypeEnum\\nfrom fw.documents.field_matchers import MultilineFieldMatcher, ConcatFieldAttributeMatcher, FieldSetMatcher, \\\\\\n ConstantMatcher, SimpleMatcher, ArrayAttributeMatcher\\nfrom fw.documents.field_matchers import FieldAttributeMatcher\\nfrom fw.documents.fields.doc_fields import CompanyObject\\nfrom fw.documents.template_renderer import RenderingVariants\\nfrom fw.documents.common_schema_fields import (ADDRESS_FIELD, GENERAL_MANAGER_CAPTION_FIELD,\\n FULL_NAME_FIELD, JOB_MAIN_CODE_FIELD, JOB_CODE_ARRAY_FIELD,\\n STARTER_CAPITAL_FIELD,\\n USE_FOREIGN_COMPANY_NAME_FIELD,\\n USE_NATIONAL_LANGUAGE_COMPANY_NAME_FIELD, FOREIGN_FULL_NAME_FIELD,\\n FOREIGN_SHORT_NAME_FIELD, FOREIGN_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FULL_NAME_FIELD, NATIONAL_LANGUAGE_SHORT_NAME_FIELD,\\n SHORT_NAME_FIELD, GENERAL_MANAGER_FIELD, FOUNDERS_COUNT_FIELD,\\n BOARD_OF_DIRECTORS_FIELD, ADDRESS_TYPE_FIELD, ADDRESS_TYPE_FIELD_NR,\\n DOC_DATE_FIELD_TODAY, DOC_DATE_OR_TODAY)\\nfrom services.llc_reg.documents.enums import DocumentDeliveryTypeEnum, FounderTypeEnum, JSCMemberTypeEnum, \\\\\\n DocumentDeliveryTypeStrEnum, RegistrationWay, AddressType\\n\\n\\ndef get_test_resource_name(config, resource_rel_path):\\n resources_path = config['resources_path']\\n return os.path.join(resources_path, resource_rel_path)\\n\\n\\ndef load_data(config):\\n FOUNDERS_REF_LIST_TEMP_VARIABLE = {\\n \\\"#array_mapping\\\": {\\n \\\"array_source_field\\\": {\\n \\\"#field\\\": \\\"founders\\\"\\n },\\n \\\"target_items\\\": {\\n \\\"#cases\\\": {\\n \\\"set\\\": {\\n \\\"cur_founder_type\\\": {\\n \\\"#array_item_field\\\": \\\"founder_type\\\"\\n }\\n },\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"cur_founder_type\\\": 1\\n },\\n \\\"value\\\": {\\n \\\"#array_item_field\\\": \\\"person->_id\\\"\\n }\\n }, {\\n \\\"conditions\\\": {\\n \\\"cur_founder_type\\\": 2\\n },\\n \\\"value\\\": {\\n \\\"#array_item_field\\\": \\\"company->_id\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": None\\n }}}}}\\n\\n ADDRESS_FIELD_WITH_OKATO = deepcopy(ADDRESS_FIELD)\\n ADDRESS_FIELD_WITH_OKATO['override_fields_kwargs']['okato'] = {\\n 'required': True\\n }\\n ADDRESS_FIELD_WITH_OKATO['required'] = True\\n\\n MAP_OBTAIN_WAY = {\\n \\\"field\\\": \\\"obtain_way\\\",\\n \\\"map\\\": {\\n \\\"founder\\\": DocumentDeliveryTypeEnum.DDT_ISSUE_TO_THE_APPLICANT,\\n \\\"responsible_person\\\": DocumentDeliveryTypeEnum.DDT_ISSUE_TO_THE_APPLICANT_OR_AGENT,\\n \\\"mail\\\": DocumentDeliveryTypeEnum.DDT_SEND_BY_MAIL\\n }\\n }\\n FOUNDER_APPLICANT_FIELD = {\\n \\\"name\\\": \\\"founder_applicant\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"FounderObject\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\": True,\\n \\\"override_fields_kwargs\\\": {\\n \\\"documents_recipient_type\\\": {\\n \\\"required\\\": True\\n }\\n },\\n \\\"value\\\": {\\n \\\"#set\\\": {\\n \\\"selected_founder\\\": {\\n \\\"#pick_array_item\\\": {\\n \\\"array_field\\\": \\\"founders\\\",\\n \\\"conditions\\\": {\\n \\\"#or\\\": [{\\n \\\"founders|size\\\": 1,\\n }, {\\n \\\"founders|size\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"responsible_person\\\",\\n \\\"<loop_item>->founder\\\": \\\"@selected_moderator\\\"\\n }, {\\n \\\"founders|size\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"founder\\\",\\n \\\"<loop_item>->founder\\\": \\\"@doc_obtain_founder\\\"\\n }, {\\n \\\"founders|size\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"mail\\\",\\n \\\"<loop_item>->founder\\\": \\\"@selected_moderator\\\"\\n }]\\n }\\n }\\n }\\n },\\n \\\"#object\\\": {\\n \\\"founder_type\\\": {\\n \\\"#value_map\\\": {\\n \\\"field\\\": \\\"selected_founder->founder->type\\\",\\n \\\"map\\\": {\\n \\\"person\\\": 1,\\n \\\"company\\\": 2\\n }\\n }\\n },\\n \\\"company\\\": {\\n \\\"#object\\\": {\\n \\\"type\\\": \\\"CompanyObject\\\",\\n \\\"_id\\\": {\\n \\\"#cases\\\": {\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"selected_founder->founder->type\\\": \\\"company\\\"\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"selected_founder->founder->_id\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": \\\"\\\"\\n }\\n }\\n }\\n }\\n },\\n \\\"person\\\": {\\n \\\"#object\\\": {\\n \\\"type\\\": \\\"PrivatePerson\\\",\\n \\\"_id\\\": {\\n \\\"#cases\\\": {\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"selected_founder->founder->type\\\": \\\"person\\\"\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"selected_founder->founder->_id\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": \\\"\\\"\\n }\\n }\\n }\\n }\\n },\\n \\\"nominal_capital\\\": {\\n \\\"#field\\\": \\\"selected_founder->nominal_capital\\\",\\n },\\n \\\"share\\\": {\\n \\\"#object\\\": {\\n \\\"type\\\": {\\n \\\"#field\\\": \\\"share_type\\\"\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"selected_founder->share\\\"\\n }\\n }\\n },\\n \\\"documents_recipient_type\\\": {\\n \\\"#value_map\\\": MAP_OBTAIN_WAY\\n }\\n }\\n }\\n }\\n\\n FOUNDERS_FIELD = {\\n \\\"name\\\": \\\"founders\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"FounderObject\\\",\\n \\\"depends_on\\\": [\\\"founder_applicant\\\"],\\n \\\"required\\\": True,\\n \\\"subfield_kwargs\\\": {\\n \\\"error_field_mapping\\\": {\\n \\\"company\\\": \\\"founder\\\",\\n \\\"person\\\": \\\"founder\\\",\\n \\\"documents_recipient_type\\\": \\\"\\\", # suppress error\\n \\\"share\\\": \\\"founder.share.\\\",\\n \\\"nominal_capital\\\": \\\"founder.nominal_capital.\\\"\\n }\\n },\\n \\\"value\\\": {\\n \\\"#array_mapping\\\": {\\n \\\"array_source_field\\\": {\\n \\\"#field\\\": \\\"founders\\\"\\n },\\n \\\"target_items\\\": {\\n \\\"#object\\\": {\\n \\\"founder_type\\\": {\\n \\\"#value_map\\\": {\\n \\\"field\\\": {\\n \\\"#array_item_field\\\": \\\"founder->type\\\"\\n },\\n \\\"map\\\": {\\n \\\"person\\\": 1,\\n \\\"company\\\": 2\\n }\\n }\\n },\\n \\\"nominal_capital\\\": {\\n \\\"#array_item_field\\\": \\\"nominal_capital\\\"\\n },\\n \\\"share\\\": {\\n \\\"#object\\\": {\\n \\\"type\\\": {\\n \\\"#field\\\": \\\"share_type\\\",\\n },\\n \\\"value\\\": {\\n \\\"#array_item_field\\\": \\\"share\\\"\\n }\\n }\\n },\\n \\\"person\\\": {\\n \\\"#cases\\\": {\\n \\\"set\\\": {\\n \\\"cur_founder_type\\\": {\\n \\\"#array_item_field\\\": \\\"founder->type\\\"\\n }\\n },\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"cur_founder_type\\\": \\\"person\\\"\\n },\\n \\\"value\\\": {\\n \\\"#array_item_field\\\": \\\"founder\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": None\\n }\\n }\\n },\\n \\\"company\\\": {\\n \\\"#cases\\\": {\\n \\\"set\\\": {\\n \\\"cur_founder_type\\\": {\\n \\\"#array_item_field\\\": \\\"founder->type\\\"\\n }\\n },\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"cur_founder_type\\\": \\\"company\\\"\\n },\\n \\\"value\\\": {\\n \\\"#array_item_field\\\": \\\"founder\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": None\\n }\\n }\\n },\\n \\\"documents_recipient_type\\\": {\\n \\\"#cases\\\": {\\n \\\"set\\\": {\\n \\\"cur_founder_ref\\\": {\\n \\\"#array_item_field\\\": \\\"founder\\\"\\n },\\n \\\"cur_founders_count\\\": {\\n \\\"#size\\\": \\\"founders\\\"\\n }\\n },\\n \\\"list\\\": [\\n {\\n \\\"conditions\\\": {\\n \\\"cur_founders_count\\\": 1\\n },\\n \\\"value\\\": {\\n \\\"#value_map\\\": MAP_OBTAIN_WAY\\n }\\n }, {\\n \\\"conditions\\\": {\\n \\\"cur_founders_count\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"founder\\\",\\n \\\"cur_founder_ref\\\": \\\"@doc_obtain_founder\\\"\\n },\\n \\\"value\\\": {\\n \\\"#value_map\\\": MAP_OBTAIN_WAY\\n }\\n }, {\\n \\\"conditions\\\": {\\n \\\"cur_founders_count\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"responsible_person\\\",\\n \\\"cur_founder_ref\\\": \\\"@selected_moderator\\\"\\n },\\n \\\"value\\\": {\\n \\\"#value_map\\\": MAP_OBTAIN_WAY\\n }\\n }, {\\n \\\"conditions\\\": {\\n \\\"cur_founders_count\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"mail\\\",\\n \\\"cur_founder_ref\\\": \\\"@selected_moderator\\\"\\n },\\n \\\"value\\\": {\\n \\\"#value_map\\\": MAP_OBTAIN_WAY\\n }\\n }\\n ],\\n \\\"default\\\": {\\n \\\"value\\\": None\\n }\\n }\\n },\\n \\\"duplicate_fio\\\": {\\n \\\"#exec\\\": {\\n \\\"module\\\": \\\"llc_reg_methods\\\",\\n \\\"method\\\": \\\"check_founder_has_same_fio\\\",\\n \\\"kwargs\\\": {\\n \\\"founders\\\": {\\n \\\"#field\\\": \\\"founders\\\"\\n },\\n \\\"founder\\\": {\\n \\\"#array_item_field\\\": \\\"founder\\\"\\n }\\n }\\n }\\n },\\n \\\"is_starter_capital_dividable\\\": {\\n \\\"#exec\\\": {\\n \\\"module\\\": \\\"llc_reg_methods\\\",\\n \\\"method\\\": \\\"is_starter_capital_dividable\\\",\\n \\\"kwargs\\\": {\\n \\\"founder_share\\\": {\\n \\\"#array_item_field\\\": \\\"share\\\"\\n },\\n \\\"starter_capital\\\": {\\n \\\"#field\\\": \\\"starter_capital->value->value\\\"\\n },\\n \\\"share_type\\\": {\\n \\\"#field\\\": \\\"share_type\\\"\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n },\\n \\\"validator\\\": {\\n \\\"#set\\\": {\\n \\\"total_share\\\": {\\n \\\"#aggregate\\\": {\\n \\\"field\\\": \\\"values\\\",\\n \\\"attr\\\": \\\"share.normal\\\",\\n \\\"operator\\\": \\\"add\\\"\\n }\\n },\\n \\\"founders_count\\\": {\\n \\\"#size\\\": \\\"values\\\"\\n }\\n },\\n \\\"conditions\\\": [{\\n \\\"#or\\\": [{\\n \\\"total_share\\\": {\\n \\\"#almost_equal\\\": 1\\n }\\n }, {\\n \\\"values\\\": {\\n \\\"#size\\\": 0\\n }\\n }],\\n \\\"founders_count\\\": {\\n \\\"#gt\\\": 0\\n }\\n }, {\\n \\\"founders_count\\\": {\\n \\\"#lte\\\": 50\\n }\\n }],\\n \\\"error_field\\\": \\\"\\\"\\n }\\n }\\n\\n P11001_TEMPLATE = {\\n \\\"template_name\\\": \\\"P11001_template\\\",\\n \\\"doc_name\\\": DocumentTypeEnum.DT_P11001,\\n \\\"is_strict\\\": True,\\n \\\"pages\\\": [\\n {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0001.pdf\\\"),\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page1-polnoe_naimenovanie__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page1-sokr_naimenovanie__line{{item}}\\\",\\n \\\"count\\\": 4,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n },\\n {\\n \\\"name\\\": \\\"page1-district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n },\\n ],\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page1-subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n },\\n {\\n \\\"name\\\": \\\"page1-pocht_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n },\\n {\\n \\\"name\\\": \\\"page1-district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n },\\n {\\n \\\"name\\\": \\\"page1-city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n },\\n {\\n \\\"name\\\": \\\"page1-city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ]\\n },\\n {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0002.pdf\\\"),\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page2-nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-house_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-house_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-corpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-corpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-office_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-office_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-nach_capital_type\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"page2-akc_obchestvo_member_type\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"page2-nach_capital_value__currency-maj\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page2-nach_capital_value__currency-min\\\",\\n \\\"field-length\\\": 4,\\n \\\"text-align\\\": \\\"left\\\"\\n }\\n ],\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page2-nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page2-street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n },\\n ]\\n },\\n {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0003.pdf\\\"),\\n \\\"multiple\\\": True,\\n \\\"array_field\\\": \\\"founders\\\",\\n \\\"array_item_filter\\\": {\\n \\\"founder_type\\\": FounderTypeEnum.FT_COMPANY\\n },\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page3-ogrn\\\",\\n \\\"field-length\\\": 13\\n }, {\\n \\\"name\\\": \\\"page3-inn\\\",\\n \\\"field-length\\\": 10\\n }, {\\n \\\"name\\\": \\\"page3-nominal_part_value__currency-maj\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page3-nominal_part_value__currency-min\\\",\\n \\\"field-length\\\": 4,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page3-razmer_doli__percent-maj\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page3-razmer_doli__percent-min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page3-razmer_doli__decimal-maj\\\",\\n \\\"field-length\\\": 1,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page3-razmer_doli__decimal-min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page3-razmer_doli__fraction-maj\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page3-razmer_doli__fraction-min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ],\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page3-polnoe_naimenovanie__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ]\\n },\\n # {\\n # \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0004.pdf\\\"),\\n # \\\"multiple\\\" : True,\\n # \\\"array_field\\\" : \\\"founders\\\",\\n # \\\"array_item_filter\\\" : {\\n # \\\"founder_type\\\" : FounderTypeEnum.FT_FOREIGN_COMPANY\\n # },\\n # \\\"fields\\\": [\\n # {\\n # \\\"name\\\": \\\"page4-inn\\\",\\n # \\\"field-length\\\": 10\\n # }, {\\n # \\\"name\\\" : \\\"page4-reg_number\\\",\\n # \\\"field-length\\\": 25\\n # },{\\n # \\\"name\\\" : \\\"page4-country_code\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page4-reg_date__day\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page4-reg_date__month\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page4-reg_date__year\\\",\\n # \\\"field-length\\\": 4\\n # }, {\\n # \\\"name\\\": \\\"page4-nominal_part_value__currency-maj\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-nominal_part_value__currency-min\\\",\\n # \\\"field-length\\\": 4,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-part_value__percent-maj\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-part_value__percent-min\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-part_value__decimal-maj\\\",\\n # \\\"field-length\\\": 1,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-part_value__decimal-min\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-part_value__fraction-left\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-part_value__fraction-right\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\" : \\\"$page\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }\\n # ],\\n # \\\"array_fields\\\": [\\n # {\\n # \\\"name\\\": \\\"page4-full_name__line{{item}}\\\",\\n # \\\"count\\\": 6,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-reg_organ_name__line{{item}}\\\",\\n # \\\"count\\\": 4,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page4-address__line{{item}}\\\",\\n # \\\"count\\\": 4,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }\\n # ]\\n # },\\n {\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0005.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0006.pdf\\\")],\\n \\\"multiple\\\": True,\\n \\\"array_field\\\": \\\"founders\\\",\\n \\\"array_item_filter\\\": {\\n \\\"founder_type\\\": FounderTypeEnum.FT_PERSON\\n },\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page5-surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page5-name\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page5-patronymic\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page5-inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"page5-birth_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page5-birth_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page5-birth_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page5-ogrnip\\\",\\n \\\"field-length\\\": 15\\n }, {\\n \\\"name\\\": \\\"page5-doc_type\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page5-doc_number\\\",\\n \\\"field-length\\\": 25\\n }, {\\n \\\"name\\\": \\\"page5-issue_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page5-issue_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page5-issue_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page5-subdivision_code__left\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page5-subdivision_code__right\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\": \\\"page6-subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page6-postal_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page6-district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-building_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-building_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-korpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-korpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-flat_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-flat_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-living_country_code\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page6-nominal_part_value__currency-maj\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page6-nominal_part_value__currency-min\\\",\\n \\\"field-length\\\": 4,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page6-part_value__percent-maj\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page6-part_value__percent-min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page6-part_value__decimal-maj\\\",\\n \\\"field-length\\\": 1,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page6-part_value__decimal-min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page6-part_value__fraction-left\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page6-part_value__fraction-right\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ],\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page6-nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page5-birth_place__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page5-issuer__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": [34, 40, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page6-living_address__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ],\\n },\\n\\n # {\\n # \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0007.pdf\\\"), get_test_resource_name(config, \\\"11001/pg_0008.pdf\\\")],\\n # \\\"multiple\\\" : True,\\n # \\\"array_field\\\" : \\\"founders\\\",\\n # \\\"array_item_filter\\\" : {\\n # \\\"founder_type\\\" : FounderTypeEnum.FT_GOV,\\n # \\\"company.id.initialized\\\" : True\\n # },\\n # \\\"fields\\\": [\\n # {\\n # \\\"name\\\" : \\\"page7-uchreditel_type\\\",\\n # \\\"field-length\\\": 1,\\n # }, {\\n # \\\"name\\\" : \\\"page7-uchreditel_subject_code\\\",\\n # \\\"field-length\\\" : 2,\\n # \\\"text-align\\\" : \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__currency-maj\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__currency-min\\\",\\n # \\\"field-length\\\": 4,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__percent-maj\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__percent-min\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__decimal-maj\\\",\\n # \\\"field-length\\\": 1,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__decimal-min\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__fraction-left\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__fraction-right\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page8-ogrn\\\",\\n # \\\"field-length\\\": 13\\n # }, {\\n # \\\"name\\\": \\\"page8-inn\\\",\\n # \\\"field-length\\\": 10\\n # }, {\\n # \\\"name\\\" : \\\"$page\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }\\n # ],\\n # \\\"array_fields\\\" : [\\n # {\\n # \\\"name\\\": \\\"page7-uchreditel_munic_obraz_name__line{{item}}\\\",\\n # \\\"count\\\": 4,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page8-full_name__line{{item}}\\\",\\n # \\\"count\\\": 6,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }\\n # ]\\n # },\\n\\n # {\\n # \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0007.pdf\\\"),\\n # get_test_resource_name(config, \\\"11001/pg_0008.pdf\\\"),\\n # get_test_resource_name(config, \\\"11001/pg_0009.pdf\\\")],\\n # \\\"multiple\\\" : True,\\n # \\\"array_field\\\" : \\\"founders\\\",\\n # \\\"array_item_filter\\\" : {\\n # \\\"founder_type\\\" : FounderTypeEnum.FT_GOV,\\n # \\\"person.id.initialized\\\" : True\\n # },\\n # \\\"fields\\\": [\\n # {\\n # \\\"name\\\" : \\\"page7-uchreditel_type\\\",\\n # \\\"field-length\\\": 1,\\n # }, {\\n # \\\"name\\\" : \\\"page7-uchreditel_subject_code\\\",\\n # \\\"field-length\\\" : 2,\\n # \\\"text-align\\\" : \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__currency-maj\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__currency-min\\\",\\n # \\\"field-length\\\": 4,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__percent-maj\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__percent-min\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__decimal-maj\\\",\\n # \\\"field-length\\\": 1,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__decimal-min\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__fraction-left\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"right\\\"\\n # }, {\\n # \\\"name\\\": \\\"page7-nominal_part_value__fraction-right\\\",\\n # \\\"field-length\\\": 15,\\n # \\\"text-align\\\": \\\"left\\\"\\n # },{\\n # \\\"name\\\" : \\\"$page\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\" : \\\"page8-surname\\\",\\n # \\\"field-length\\\" : 35,\\n # \\\"text-align\\\" : \\\"left\\\",\\n # \\\"case\\\" : \\\"upper\\\"\\n # }, {\\n # \\\"name\\\" : \\\"page8-name\\\",\\n # \\\"field-length\\\" : 35,\\n # \\\"text-align\\\" : \\\"left\\\",\\n # \\\"case\\\" : \\\"upper\\\"\\n # }, {\\n # \\\"name\\\" : \\\"page8-patronymic\\\",\\n # \\\"field-length\\\" : 35,\\n # \\\"text-align\\\" : \\\"left\\\",\\n # \\\"case\\\" : \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page8-person_inn\\\",\\n # \\\"field-length\\\": 12\\n # }, {\\n # \\\"name\\\": \\\"page8-birth_date__day\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page8-birth_date__month\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page8-birth_date__year\\\",\\n # \\\"field-length\\\": 4\\n # }, {\\n # \\\"name\\\" : \\\"page9-doc_type_code\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page9-doc_number\\\",\\n # \\\"field-length\\\": 25\\n # }, {\\n # \\\"name\\\": \\\"page9-doc_issue_date__day\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page9-doc_issue_date__month\\\",\\n # \\\"field-length\\\": 2,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\": \\\"page9-doc_issue_date__year\\\",\\n # \\\"field-length\\\": 4\\n # }, {\\n # \\\"name\\\" : \\\"page9-doc_issuer_subdivision_code__left\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"left\\\",\\n # }, {\\n # \\\"name\\\" : \\\"page9-doc_issuer_subdivision_code__right\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\",\\n # }, {\\n # \\\"name\\\" : \\\"page9-subject_code\\\",\\n # \\\"field-length\\\" : 2,\\n # \\\"text-align\\\" : \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\" : \\\"page9-postal_index\\\",\\n # \\\"field-length\\\" : 6,\\n # \\\"text-align\\\" : \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }, {\\n # \\\"name\\\" : \\\"page9-district_type\\\",\\n # \\\"field-length\\\" : 10,\\n # \\\"text-align\\\" : \\\"left\\\",\\n # \\\"case\\\" : \\\"upper\\\"\\n # }, {\\n # \\\"name\\\" : \\\"page9-city_type\\\",\\n # \\\"field-length\\\" : 10,\\n # \\\"text-align\\\" : \\\"left\\\",\\n # \\\"case\\\" : \\\"upper\\\"\\n # }, {\\n # \\\"name\\\" : \\\"page9-city_name\\\",\\n # \\\"field-length\\\" : 28,\\n # \\\"text-align\\\" : \\\"left\\\",\\n # \\\"case\\\" : \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-nas_punkt_type\\\",\\n # \\\"field-length\\\": 10,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-street_type\\\",\\n # \\\"field-length\\\": 10,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-house_type\\\",\\n # \\\"field-length\\\": 10,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-house_number\\\",\\n # \\\"field-length\\\": 8,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-corpus_type\\\",\\n # \\\"field-length\\\": 10,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-corpus_number\\\",\\n # \\\"field-length\\\": 8,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-flat_type\\\",\\n # \\\"field-length\\\": 10,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-flat_number\\\",\\n # \\\"field-length\\\": 8,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\" : \\\"page9-living_country_code\\\",\\n # \\\"field-length\\\": 3,\\n # \\\"text-align\\\": \\\"right\\\",\\n # \\\"space-filler\\\" : u\\\"0\\\",\\n # }\\n # ],\\n # \\\"array_fields\\\" : [\\n # {\\n # \\\"name\\\": \\\"page7-uchreditel_munic_obraz_name__line{{item}}\\\",\\n # \\\"count\\\": 4,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-nas_punkt_name__line{{item}}\\\",\\n # \\\"count\\\": 2,\\n # \\\"field-length\\\": [28, 40],\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-street_name__line{{item}}\\\",\\n # \\\"count\\\": 2,\\n # \\\"field-length\\\": [28, 40],\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page8-birth_place__{{item}}\\\",\\n # \\\"count\\\": 2,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-doc_issuer__line{{item}}\\\",\\n # \\\"count\\\": 3,\\n # \\\"field-length\\\": [34, 40, 40],\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-district_name__line{{item}}\\\",\\n # \\\"count\\\": 2,\\n # \\\"field-length\\\": [28, 40],\\n # \\\"case\\\": \\\"upper\\\"\\n # }, {\\n # \\\"name\\\": \\\"page9-living_address__line{{item}}\\\",\\n # \\\"count\\\": 2,\\n # \\\"field-length\\\": 40,\\n # \\\"case\\\": \\\"upper\\\"\\n # }\\n # ]\\n # },\\n {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0010.pdf\\\"),\\n \\\"multiple\\\": True,\\n \\\"array_field\\\": \\\"uit\\\",\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page10-invest_fond_uprav_company_ogrn\\\",\\n \\\"field-length\\\": 13\\n }, {\\n \\\"name\\\": \\\"page10-invest_fond_uprav_company_inn\\\",\\n \\\"field-length\\\": 10\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__currency_maj\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__currency_min\\\",\\n \\\"field-length\\\": 4,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__percent_maj\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__percent_min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__decimal_maj\\\",\\n \\\"field-length\\\": 1,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__decimal_min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__fraction_maj\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"page10-nominal_value__fraction_min\\\",\\n \\\"field-length\\\": 15,\\n \\\"text-align\\\": \\\"left\\\"\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page8-surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ],\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page10-invest_fond_name__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page10-invest_fond_uprav_company_full_name__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }]\\n }, {\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0011.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0012.pdf\\\")],\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page11-surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page11-name\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page11-patronymic\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page11-inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"page11-birth_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page11-birth_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page11-birth_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page11-doc_type_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page11-doc_number\\\",\\n \\\"field-length\\\": 25\\n }, {\\n \\\"name\\\": \\\"page11-doc_issue_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page11-doc_issue_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page11-doc_issue_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page11-doc_issuer_subdivision_code__left\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page11-doc_issuer_subdivision_code__right\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\": \\\"page12-subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page12-postal_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page12-district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-house_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-house_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-corpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-corpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-flat_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-flat_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-living_country_code\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page12-phone_number\\\",\\n \\\"field-length\\\": 20,\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ],\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page12-nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page11-birth_place__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page11-doc_issuer__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": [34, 40, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page12-living_address__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page11-title__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 80,\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ],\\n }, {\\n \\\"variants\\\": {\\n \\\"type\\\": RenderingVariants.TYPE_RENDER_FIRST_MATCHING,\\n \\\"cases\\\": [{\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0013.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0014.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_Je-set-1\\\",\\n \\\"conditions\\\": {\\n \\\"management_company.company.id.initialized\\\": True\\n }\\n }, {\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0013.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0014.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0015.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_Je-set-3\\\",\\n \\\"conditions\\\": {\\n \\\"management_company.foreign_company.id.initialized\\\": True,\\n \\\"management_company.russian_agent.id.initialized\\\": True\\n }\\n }, {\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0013.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0014.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_Je-set-2\\\",\\n \\\"conditions\\\": {\\n \\\"management_company.foreign_company.id.initialized\\\": True\\n }\\n }]\\n },\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page13-ogrn\\\",\\n \\\"field-length\\\": 13\\n }, {\\n \\\"name\\\": \\\"page13-inn\\\",\\n \\\"field-length\\\": 10\\n }, {\\n \\\"name\\\": \\\"page13-reg_number\\\",\\n \\\"field-length\\\": 25\\n }, {\\n \\\"name\\\": \\\"page13-country_code\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page13-reg_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page13-reg_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page13-reg_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page14-subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page14-postal_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page14-district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-house_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-house_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-corpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-corpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-flat_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-flat_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-phone_number\\\",\\n \\\"field-length\\\": 20,\\n }, {\\n \\\"name\\\": \\\"page14-surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-name\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-patronymic\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"page14-birth_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page14-birth_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page14-birth_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page15-doc_type_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page15-doc_number\\\",\\n \\\"field-length\\\": 25\\n }, {\\n \\\"name\\\": \\\"page15-doc_issue_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page15-doc_issue_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page15-doc_issue_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page15-doc_issuer_subdivision_code__left\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page15-doc_issuer_subdivision_code__right\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\": \\\"page15-subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page15-postal_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page15-district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-house_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-house_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-corpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-corpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-flat_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-flat_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-living_country_code\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page15-phone_number\\\",\\n \\\"field-length\\\": 20,\\n }\\n ],\\n \\\"array_fields\\\": [{\\n \\\"name\\\": \\\"page13-full_name__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page13-reg_organ_name__line{{item}}\\\",\\n \\\"count\\\": 4,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page13-reg_organ_address__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page13-predstav_full_name__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page14-birth_place__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-doc_issuer__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": [34, 40, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page15-living_address__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }]\\n }, {\\n \\\"conditions\\\": {\\n \\\"manager.id.initialized\\\": True\\n },\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0016.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0017.pdf\\\")],\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page16-ogrnip\\\",\\n \\\"field-length\\\": 15\\n }, {\\n \\\"name\\\": \\\"page16-surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page16-name\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page16-patronymic\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page16-inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"page16-birth_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page16-birth_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page16-birth_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page16-doc_type_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page16-doc_type_number\\\",\\n \\\"field-length\\\": 25\\n }, {\\n \\\"name\\\": \\\"page16-doc_issue_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page16-doc_issue_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page16-doc_issue_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page16-doc_issuer_subdivision_code__left\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page16-doc_issuer_subdivision_code__right\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\": \\\"page17-subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page17-postal_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page17-district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-house_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-house_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-corpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-corpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-flat_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-flat_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-phone_number\\\",\\n \\\"field-length\\\": 20,\\n }\\n ],\\n \\\"array_fields\\\": [{\\n \\\"name\\\": \\\"page16-birth_place__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page16-doc_issuer__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": [34, 40, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page17-district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ]\\n }, {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0018.pdf\\\"),\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page18-main_job_code__part1\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page18-main_job_code__part2\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"center\\\",\\n }, {\\n \\\"name\\\": \\\"page18-main_job_code__part3\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ],\\n \\\"array_fields\\\": [{\\n \\\"name\\\": \\\"page18-job_code#{{item}}__part1\\\",\\n \\\"field-length\\\": 2,\\n \\\"count\\\": 14 * 4,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page18-job_code#{{item}}__part2\\\",\\n \\\"field-length\\\": 2,\\n \\\"count\\\": 14 * 4,\\n \\\"text-align\\\": \\\"center\\\",\\n }, {\\n \\\"name\\\": \\\"page18-job_code#{{item}}__part3\\\",\\n \\\"field-length\\\": 2,\\n \\\"count\\\": 14 * 4,\\n \\\"text-align\\\": \\\"right\\\",\\n }]\\n }, {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0019.pdf\\\"),\\n \\\"conditions\\\": {\\n \\\"holder_share.holder_type\\\": JSCMemberTypeEnum.JSCMT_REGISTRATOR,\\n \\\"holder_share.company.id.initialized\\\": True\\n },\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page19-ogrn\\\",\\n \\\"field-length\\\": 13\\n }, {\\n \\\"name\\\": \\\"page19-inn\\\",\\n \\\"field-length\\\": 10\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ],\\n \\\"array_fields\\\": [{\\n \\\"name\\\": \\\"page19-full_name__line{{item}}\\\",\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\",\\n \\\"count\\\": 6\\n }]\\n },\\n {\\n \\\"page_file\\\": get_test_resource_name(config, \\\"11001/pg_0020.pdf\\\"),\\n \\\"multiple\\\": True,\\n \\\"array_field\\\": \\\"farm_companies\\\",\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page20-ogrnip\\\",\\n \\\"field-length\\\": 15\\n }, {\\n \\\"name\\\": \\\"page20-surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page20-name\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page20-patronymic\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page20-inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ]\\n }, {\\n \\\"multiple\\\": True,\\n \\\"array_field\\\": \\\"founders\\\",\\n \\\"sort\\\": {\\n \\\"field\\\": \\\"documents_recipient_type\\\",\\n \\\"order\\\": \\\"desc\\\"\\n },\\n \\\"variants\\\": {\\n \\\"type\\\": RenderingVariants.TYPE_RENDER_FIRST_MATCHING,\\n \\\"cases\\\": [{ # учредитель - единственное физ. лицо\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0022.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0024.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_N-set-1\\\",\\n \\\"conditions\\\": {\\n \\\"founders[].founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"founders\\\": {\\n \\\"#size\\\": 1\\n }\\n },\\n }, {\\n # учредитель - физ лицо, кол-во учредителей > 1. при этом есть учредитель-физ лицо, ФИО которого совпадает с данным\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0022.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0024.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_N-set-2dup\\\",\\n \\\"conditions\\\": {\\n \\\"founders[].founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"founders[].duplicate_fio\\\": True\\n }\\n }, { # учредитель - физ лицо, кол-во учредителей > 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0022.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0024.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_N-set-2\\\",\\n \\\"conditions\\\": {\\n \\\"founders[].founder_type\\\": FounderTypeEnum.FT_PERSON,\\n }\\n }, { # единственный учредитель - российское юр. лицо\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0022.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0023.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0024.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_N-set-5\\\",\\n \\\"conditions\\\": {\\n \\\"founders[].founder_type\\\": FounderTypeEnum.FT_COMPANY,\\n \\\"founders\\\": {\\n \\\"#size\\\": 1\\n }\\n }\\n }, { # учредитель - российское юр. лицо, кол-во учредителей > 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0022.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0023.pdf\\\"),\\n get_test_resource_name(config, \\\"11001/pg_0024.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%page_N-set-3\\\",\\n \\\"conditions\\\": {\\n \\\"founders[].founder_type\\\": FounderTypeEnum.FT_COMPANY,\\n }\\n },\\n # { # учредитель - иностранное юр. лицо\\n # \\\"page_file\\\": [get_test_resource_name(config, \\\"11001/pg_0022.pdf\\\"),\\n # get_test_resource_name(config, \\\"11001/pg_0023.pdf\\\"),\\n # get_test_resource_name(config, \\\"11001/pg_0024.pdf\\\")],\\n # \\\"field_matcher_set\\\" : \\\"%page_N-set-4\\\",\\n # \\\"conditions\\\" : {\\n # \\\"founders[].founder_type\\\" : FounderTypeEnum.FT_FOREIGN_COMPANY,\\n # },\\n # }\\n ]\\n },\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"page22-zayavitel_type\\\",\\n \\\"field-length\\\": 1,\\n }, {\\n \\\"name\\\": \\\"page22-ogrn\\\",\\n \\\"field-length\\\": 13\\n }, {\\n \\\"name\\\": \\\"page22-uchreditel_inn\\\",\\n \\\"field-length\\\": 10\\n }, {\\n \\\"name\\\": \\\"page22-upravlyayuschiy_ogrn\\\",\\n \\\"field-length\\\": 13\\n }, {\\n \\\"name\\\": \\\"page22-upravlyayuschiy_inn\\\",\\n \\\"field-length\\\": 10\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_surname\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_name\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_patronymic\\\",\\n \\\"field-length\\\": 35,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_birth_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_birth_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_birth_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page23-doc_type\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page23-doc_number\\\",\\n \\\"field-length\\\": 25\\n }, {\\n \\\"name\\\": \\\"page23-doc_issue_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page23-doc_issue_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page23-doc_issue_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"page23-issuer_subdivision_code__left\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"left\\\",\\n }, {\\n \\\"name\\\": \\\"page23-issuer_subdivision_code__right\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\": \\\"page23-address_subject_code\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page23-postal_index\\\",\\n \\\"field-length\\\": 6,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page23-address_district_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_city_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_city_name\\\",\\n \\\"field-length\\\": 28,\\n \\\"text-align\\\": \\\"left\\\",\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_nas_punkt_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_street_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_house_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_house_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_corpus_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_corpus_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_flat_type\\\",\\n \\\"field-length\\\": 10,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_flat_number\\\",\\n \\\"field-length\\\": 8,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-phone_number\\\",\\n \\\"field-length\\\": 20,\\n }, {\\n \\\"name\\\": \\\"page23-living_country_code\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"page23-email\\\",\\n \\\"field-length\\\": 35,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page24-document_delivery_type\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"page24-zaveritel_type\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"page24-inn_zaveritelya\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"$page\\\",\\n \\\"field-length\\\": 3,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }\\n ], \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"page22-uchreditel_full_name__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page22-upravlyayuschiy_full_name__line{{item}}\\\",\\n \\\"count\\\": 6,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page22-zayavitel_birth_place__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-issuer__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": [33, 40, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_nas_punkt_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_street_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-address_district_name__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": [28, 40],\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"page23-living_address__line{{item}}\\\",\\n \\\"count\\\": 2,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }\\n ]}\\n ]\\n }\\n\\n P11001_MATCHER = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_P11001,\\n \\\"template_name\\\": P11001_TEMPLATE['template_name'],\\n \\\"fields\\\": {\\n \\\"page1-polnoe_naimenovanie__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"page1-sokr_naimenovanie__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"short_name\\\", prefix=u\\\"ООО «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"page1-subject_code\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page1-pocht_index\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"index\\\"),\\n \\\"page1-district_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page1-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"address\\\",\\n attr_name=\\\"district\\\"),\\n \\\"page1-city_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page1-city_name\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"city\\\"),\\n\\n \\\"page2-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page2-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"address\\\",\\n attr_name=\\\"village\\\"),\\n \\\"page2-street_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page2-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"address\\\",\\n attr_name=\\\"street\\\"),\\n \\\"page2-house_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"house_type\\\"),\\n \\\"page2-house_number\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"house\\\"),\\n \\\"page2-corpus_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"building_type\\\"),\\n \\\"page2-corpus_number\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"building\\\"),\\n \\\"page2-office_type\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"flat_type\\\"),\\n \\\"page2-office_number\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"flat\\\"),\\n \\\"page2-nach_capital_type\\\": FieldAttributeMatcher(field_name=\\\"starter_capital\\\",\\n attr_name=\\\"capital_type\\\"),\\n \\\"page2-akc_obchestvo_member_type\\\": FieldAttributeMatcher(field_name=\\\"holder_share\\\", attr_name=\\\"holder_type\\\",\\n adapter=\\\"JSCMemberTypeNumberAdapter\\\"),\\n \\\"page2-nach_capital_value__currency-maj\\\": FieldAttributeMatcher(field_name=\\\"starter_capital\\\",\\n attr_name=\\\"value.currency_major\\\"),\\n \\\"page2-nach_capital_value__currency-min\\\": FieldAttributeMatcher(field_name=\\\"starter_capital\\\",\\n attr_name=\\\"value.currency_minor\\\"),\\n\\n \\\"page3-ogrn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"company.ogrn\\\"),\\n \\\"page3-inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"company.inn\\\"),\\n \\\"page3-polnoe_naimenovanie__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.qualified_full_name\\\"),\\n \\\"page3-nominal_part_value__currency-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_major\\\"),\\n \\\"page3-nominal_part_value__currency-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_minor\\\"),\\n \\\"page3-razmer_doli__percent-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_major\\\"),\\n \\\"page3-razmer_doli__percent-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_minor\\\"),\\n \\\"page3-razmer_doli__decimal-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_major\\\"),\\n \\\"page3-razmer_doli__decimal-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_minor\\\"),\\n \\\"page3-razmer_doli__fraction-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_major\\\"),\\n \\\"page3-razmer_doli__fraction-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_minor\\\"),\\n\\n \\\"page4-full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.full_name\\\"),\\n \\\"page4-country_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.country_code\\\"),\\n \\\"page4-reg_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.registration_date.day\\\"),\\n \\\"page4-reg_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.registration_date.month\\\"),\\n \\\"page4-reg_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.registration_date.year\\\"),\\n \\\"page4-reg_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.registration_number\\\"),\\n \\\"page4-reg_organ_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.registration_depart\\\"),\\n \\\"page4-address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.generic_address\\\"),\\n \\\"page4-inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"company.inn\\\"),\\n \\\"page4-nominal_part_value__currency-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_major\\\"),\\n \\\"page4-nominal_part_value__currency-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_minor\\\"),\\n \\\"page4-part_value__percent-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_major\\\"),\\n \\\"page4-part_value__percent-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_minor\\\"),\\n \\\"page4-part_value__decimal-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_major\\\"),\\n \\\"page4-part_value__decimal-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_minor\\\"),\\n \\\"page4-part_value__fraction-left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_major\\\"),\\n \\\"page4-part_value__fraction-right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_minor\\\"),\\n\\n \\\"page5-surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.surname\\\"),\\n \\\"page5-name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.name\\\"),\\n \\\"page5-patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.patronymic\\\"),\\n \\\"page5-inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.inn\\\"),\\n \\\"page5-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.day\\\"),\\n \\\"page5-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.month\\\"),\\n \\\"page5-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.year\\\"),\\n \\\"page5-birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthplace\\\"),\\n \\\"page5-issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_depart\\\"),\\n \\\"page5-ogrnip\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.ogrnip\\\"),\\n \\\"page5-doc_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.document_type\\\"),\\n \\\"page5-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attributes=[\\\"person.passport.series\\\",\\n \\\"person.passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page5-issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.day\\\"),\\n \\\"page5-issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.month\\\"),\\n \\\"page5-issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.year\\\"),\\n \\\"page5-subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.depart_code\\\"),\\n \\\"page5-subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.depart_code\\\"),\\n\\n \\\"page6-postal_index\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.index\\\"),\\n \\\"page6-subject_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page6-district_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page6-city_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page6-city_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.city\\\"),\\n \\\"page6-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page6-street_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page6-building_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.house_type\\\"),\\n \\\"page6-korpus_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.building_type\\\"),\\n \\\"page6-building_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.house\\\"),\\n \\\"page6-korpus_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.building\\\"),\\n \\\"page6-flat_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.flat_type\\\"),\\n \\\"page6-flat_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.flat\\\"),\\n \\\"page6-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.living_country_code\\\"),\\n\\n \\\"page6-nominal_part_value__currency-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_major\\\"),\\n \\\"page6-nominal_part_value__currency-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_minor\\\"),\\n \\\"page6-part_value__percent-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_major\\\"),\\n \\\"page6-part_value__percent-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_minor\\\"),\\n \\\"page6-part_value__decimal-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_major\\\"),\\n \\\"page6-part_value__decimal-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_minor\\\"),\\n \\\"page6-part_value__fraction-left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_major\\\"),\\n \\\"page6-part_value__fraction-right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_minor\\\"),\\n\\n \\\"page6-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.district\\\"),\\n \\\"page6-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.village\\\"),\\n \\\"page6-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.street\\\"),\\n \\\"page6-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.living_address\\\"),\\n\\n \\\"page7-uchreditel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"gov_founder_type\\\",\\n adapter=\\\"GovernmentFounderTypeNumberAdapter\\\"),\\n \\\"page7-uchreditel_subject_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page7-uchreditel_munic_obraz_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"name\\\"),\\n \\\"page7-nominal_part_value__currency-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_major\\\"),\\n \\\"page7-nominal_part_value__currency-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"nominal_capital.currency_minor\\\"),\\n \\\"page7-nominal_part_value__percent-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_major\\\"),\\n \\\"page7-nominal_part_value__percent-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.percent_minor\\\"),\\n \\\"page7-nominal_part_value__decimal-maj\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_major\\\"),\\n \\\"page7-nominal_part_value__decimal-min\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.decimal_minor\\\"),\\n \\\"page7-nominal_part_value__fraction-left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_major\\\"),\\n \\\"page7-nominal_part_value__fraction-right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"share.fraction_minor\\\"),\\n\\n \\\"page8-ogrn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"company.ogrn\\\"),\\n \\\"page8-inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"company.inn\\\"),\\n \\\"page8-full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.qualified_full_name\\\"),\\n \\\"page8-surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.surname\\\"),\\n \\\"page8-name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.name\\\"),\\n \\\"page8-patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.patronymic\\\"),\\n \\\"page8-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.day\\\"),\\n \\\"page8-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.month\\\"),\\n \\\"page8-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.year\\\"),\\n \\\"page8-birth_place__{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthplace\\\"),\\n \\\"page8-person_inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.inn\\\"),\\n\\n \\\"page9-doc_type_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.document_type\\\"),\\n \\\"page9-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attributes=[\\\"person.passport.series\\\",\\n \\\"person.passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page9-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.day\\\"),\\n \\\"page9-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.month\\\"),\\n \\\"page9-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.year\\\"),\\n \\\"page9-doc_issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_depart\\\"),\\n \\\"page9-doc_issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.depart_code\\\"),\\n \\\"page9-doc_issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.depart_code\\\"),\\n\\n \\\"page9-postal_index\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.index\\\"),\\n \\\"page9-subject_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page9-district_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page9-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.district\\\"),\\n \\\"page9-city_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page9-street_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page9-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.street\\\"),\\n \\\"page9-house_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.house_type\\\"),\\n \\\"page9-house_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.house\\\"),\\n \\\"page9-corpus_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.building_type\\\"),\\n \\\"page9-corpus_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.building\\\"),\\n \\\"page9-flat_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.flat_type\\\"),\\n \\\"page9-flat_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.flat\\\"),\\n \\\"page9-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page9-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.village\\\"),\\n \\\"page9-city_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.city\\\"),\\n \\\"page9-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.living_country_code\\\"),\\n \\\"page9-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.living_address\\\"),\\n\\n \\\"page10-invest_fond_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"name\\\"),\\n \\\"page10-invest_fond_uprav_company_ogrn\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"company.ogrn\\\"),\\n \\\"page10-invest_fond_uprav_company_inn\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"company.inn\\\"),\\n \\\"page10-invest_fond_uprav_company_full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"company.qualified_full_name\\\"),\\n\\n \\\"page10-nominal_value__currency_maj\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"nominal_capital.currency_major\\\"),\\n \\\"page10-nominal_value__currency_min\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"nominal_capital.currency_minor\\\"),\\n \\\"page10-nominal_value__percent_maj\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"share.percent_major\\\"),\\n \\\"page10-nominal_value__percent_min\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"share.percent_minor\\\"),\\n \\\"page10-nominal_value__decimal_maj\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"share.decimal_major\\\"),\\n \\\"page10-nominal_value__decimal_min\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"share.decimal_minor\\\"),\\n \\\"page10-nominal_value__fraction_maj\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"share.fraction_major\\\"),\\n \\\"page10-nominal_value__fraction_min\\\": FieldAttributeMatcher(field_name=\\\"uit[]\\\",\\n attr_name=\\\"share.fraction_minor\\\"),\\n\\n \\\"page11-surname\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"surname\\\"),\\n \\\"page11-name\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"name\\\"),\\n \\\"page11-patronymic\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"patronymic\\\"),\\n \\\"page11-inn\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"inn\\\"),\\n \\\"page11-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"birthdate.day\\\"),\\n \\\"page11-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"birthdate.month\\\"),\\n \\\"page11-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"birthdate.year\\\"),\\n \\\"page11-birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"birthplace\\\"),\\n \\\"page11-doc_issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.issue_depart\\\"),\\n \\\"page11-doc_type_code\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.document_type\\\"),\\n \\\"page11-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attributes=[\\\"passport.series\\\",\\n \\\"passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page11-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.issue_date.day\\\"),\\n \\\"page11-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.issue_date.month\\\"),\\n \\\"page11-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.issue_date.year\\\"),\\n \\\"page11-doc_issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.depart_code\\\"),\\n \\\"page11-doc_issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"passport.depart_code\\\"),\\n \\\"page11-title__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager_caption\\\"),\\n\\n \\\"page12-postal_index\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.index\\\"),\\n \\\"page12-subject_code\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page12-district_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page12-city_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page12-city_name\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"address.city\\\"),\\n \\\"page12-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page12-street_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page12-house_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.house_type\\\"),\\n \\\"page12-corpus_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.building_type\\\"),\\n \\\"page12-house_number\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.house\\\"),\\n \\\"page12-corpus_number\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.building\\\"),\\n \\\"page12-flat_type\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.flat_type\\\"),\\n \\\"page12-flat_number\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.flat\\\"),\\n \\\"page12-living_country_code\\\": ConstantMatcher(value=\\\" \\\"),\\n \\\"page12-phone_number\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"phone.normalised\\\"),\\n \\\"page12-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.district\\\"),\\n \\\"page12-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.village\\\"),\\n \\\"page12-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"address.street\\\"),\\n \\\"page12-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"living_address\\\"),\\n\\n \\\"%page_Je-set-1\\\": FieldSetMatcher(fields={ # management company - russian company\\n \\\"page13-ogrn\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.ogrn\\\"),\\n \\\"page13-inn\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.inn\\\"),\\n \\\"page13-full_name__line{{item}}\\\": MultilineFieldMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.qualified_full_name\\\"),\\n\\n \\\"page14-postal_index\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.index\\\"),\\n \\\"page14-subject_code\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page14-district_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page14-city_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page14-city_name\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.city\\\"),\\n \\\"page14-nas_punkt_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page14-street_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page14-house_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.house_type\\\"),\\n \\\"page14-corpus_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.building_type\\\"),\\n \\\"page14-house_number\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.house\\\"),\\n \\\"page14-corpus_number\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.building\\\"),\\n \\\"page14-flat_type\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.flat_type\\\"),\\n \\\"page14-flat_number\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.flat\\\"),\\n \\\"page14-district_name__line{{item}}\\\": MultilineFieldMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.district\\\"),\\n \\\"page14-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.village\\\"),\\n \\\"page14-street_name__line{{item}}\\\": MultilineFieldMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.address.street\\\"),\\n \\\"page14-phone_number\\\": FieldAttributeMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"company.phone.normalised\\\"),\\n\\n }),\\n \\\"%page_Je-set-2\\\": FieldSetMatcher(\\n fields={ # management company - foreign company [ + russian branch or agency]\\n \\\"page13-inn\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.inn\\\"),\\n \\\"page13-full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.qualified_full_name\\\"),\\n \\\"page13-country_code\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.country_code\\\"),\\n \\\"page13-reg_date__day\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_date.day\\\"),\\n \\\"page13-reg_date__month\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_date.month\\\"),\\n \\\"page13-reg_date__year\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_date.year\\\"),\\n \\\"page13-reg_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_number\\\"),\\n \\\"page13-reg_organ_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_depart\\\"),\\n \\\"page13-reg_organ_address__line{{item}}\\\": MultilineFieldMatcher(\\n field_name=\\\"management_company\\\", attr_name=\\\"foreign_company.generic_address\\\"),\\n\\n \\\"page13-predstav_full_name__line{{item}}\\\": MultilineFieldMatcher(\\n field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.qualified_full_name\\\"),\\n\\n \\\"page14-postal_index\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.index\\\"),\\n \\\"page14-subject_code\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page14-district_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page14-city_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page14-city_name\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.city\\\"),\\n \\\"page14-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page14-street_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page14-house_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.house_type\\\"),\\n \\\"page14-corpus_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.building_type\\\"),\\n \\\"page14-house_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.house\\\"),\\n \\\"page14-corpus_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.building\\\"),\\n \\\"page14-flat_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.flat_type\\\"),\\n \\\"page14-flat_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.flat\\\"),\\n \\\"page14-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.district\\\"),\\n \\\"page14-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.village\\\"),\\n \\\"page14-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.address.street\\\"),\\n \\\"page14-phone_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_branch_or_agency.phone.normalised\\\"),\\n\\n }), # management company - foreign company [ + russian person as agent]\\n \\\"%page_Je-set-3\\\": FieldSetMatcher(fields={\\n \\\"page13-inn\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.inn\\\"),\\n \\\"page13-full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.qualified_full_name\\\"),\\n \\\"page13-country_code\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.country_code\\\"),\\n \\\"page13-reg_date__day\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_date.day\\\"),\\n \\\"page13-reg_date__month\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_date.month\\\"),\\n \\\"page13-reg_date__year\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_date.year\\\"),\\n \\\"page13-reg_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_number\\\"),\\n \\\"page13-reg_organ_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.registration_depart\\\"),\\n \\\"page13-reg_organ_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"foreign_company.generic_address\\\"),\\n\\n \\\"page14-surname\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.surname\\\"),\\n \\\"page14-name\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.name\\\"),\\n \\\"page14-patronymic\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.patronymic\\\"),\\n \\\"page14-inn\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.inn\\\"),\\n \\\"page14-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.birthdate.day\\\"),\\n \\\"page14-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.birthdate.month\\\"),\\n \\\"page14-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.birthdate.year\\\"),\\n \\\"page14-birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.birthplace\\\"),\\n\\n \\\"page15-doc_issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.issue_depart\\\"),\\n \\\"page15-doc_type_code\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.document_type\\\"),\\n \\\"page15-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attributes=[\\\"russian_agent.passport.series\\\",\\n \\\"russian_agent.passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page15-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.issue_date.day\\\"),\\n \\\"page15-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.issue_date.month\\\"),\\n \\\"page15-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.issue_date.year\\\"),\\n \\\"page15-doc_issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.depart_code\\\"),\\n \\\"page15-doc_issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.passport.depart_code\\\"),\\n \\\"page15-postal_index\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.index\\\"),\\n \\\"page15-subject_code\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page15-district_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page15-city_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page15-city_name\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.city\\\"),\\n \\\"page15-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page15-street_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page15-house_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.house_type\\\"),\\n \\\"page15-corpus_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.building_type\\\"),\\n \\\"page15-house_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.house\\\"),\\n \\\"page15-corpus_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.building\\\"),\\n \\\"page15-flat_type\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.flat_type\\\"),\\n \\\"page15-flat_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.flat\\\"),\\n \\\"page15-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.living_country_code\\\"),\\n \\\"page15-phone_number\\\": FieldAttributeMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.phone.normalised\\\"),\\n \\\"page15-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.district\\\"),\\n \\\"page15-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.village\\\"),\\n \\\"page15-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.address.street\\\"),\\n \\\"page15-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"management_company\\\",\\n attr_name=\\\"russian_agent.living_address\\\"),\\n }),\\n\\n \\\"page16-ogrnip\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"ogrnip\\\"),\\n \\\"page16-surname\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"surname\\\"),\\n \\\"page16-name\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"name\\\"),\\n \\\"page16-patronymic\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"patronymic\\\"),\\n \\\"page16-inn\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"inn\\\"),\\n \\\"page16-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"birthdate.day\\\"),\\n \\\"page16-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"birthdate.month\\\"),\\n \\\"page16-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"birthdate.year\\\"),\\n \\\"page16-birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"birthplace\\\"),\\n \\\"page16-doc_issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.issue_depart\\\"),\\n \\\"page16-doc_type_code\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.document_type\\\"),\\n \\\"page16-doc_type_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"manager\\\", attributes=[\\\"passport.series\\\",\\n \\\"passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page16-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.issue_date.day\\\"),\\n \\\"page16-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.issue_date.month\\\"),\\n \\\"page16-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.issue_date.year\\\"),\\n \\\"page16-doc_issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.depart_code\\\"),\\n \\\"page16-doc_issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"passport.depart_code\\\"),\\n\\n \\\"page17-postal_index\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.index\\\"),\\n \\\"page17-subject_code\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page17-district_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page17-city_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page17-city_name\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.city\\\"),\\n \\\"page17-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page17-street_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page17-house_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.house_type\\\"),\\n \\\"page17-corpus_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"address.building_type\\\"),\\n \\\"page17-house_number\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.house\\\"),\\n \\\"page17-corpus_number\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.building\\\"),\\n \\\"page17-flat_type\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.flat_type\\\"),\\n \\\"page17-flat_number\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"address.flat\\\"),\\n \\\"page17-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"living_country_code\\\"),\\n \\\"page17-phone_number\\\": FieldAttributeMatcher(field_name=\\\"manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"page17-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"address.district\\\"),\\n \\\"page17-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"address.village\\\"),\\n \\\"page17-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"manager\\\",\\n attr_name=\\\"address.street\\\"),\\n\\n \\\"page18-main_job_code__part1\\\": SimpleMatcher(field_name=\\\"job_main_code\\\"),\\n \\\"page18-main_job_code__part2\\\": SimpleMatcher(field_name=\\\"job_main_code\\\"),\\n \\\"page18-main_job_code__part3\\\": SimpleMatcher(field_name=\\\"job_main_code\\\"),\\n \\\"page18-job_code#{{item}}__part1\\\": ArrayAttributeMatcher(field_name=\\\"job_code_array\\\",\\n sorted=\\\"true\\\"),\\n \\\"page18-job_code#{{item}}__part2\\\": ArrayAttributeMatcher(field_name=\\\"job_code_array\\\",\\n sorted=\\\"true\\\"),\\n \\\"page18-job_code#{{item}}__part3\\\": ArrayAttributeMatcher(field_name=\\\"job_code_array\\\",\\n sorted=\\\"true\\\"),\\n\\n \\\"page19-ogrn\\\": FieldAttributeMatcher(field_name=\\\"holder_share\\\", attr_name=\\\"company.ogrn\\\"),\\n \\\"page19-inn\\\": FieldAttributeMatcher(field_name=\\\"holder_share\\\", attr_name=\\\"company.inn\\\"),\\n \\\"page19-full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"holder_share\\\",\\n attr_name=\\\"company.qualified_full_name\\\"),\\n\\n \\\"page20-ogrnip\\\": FieldAttributeMatcher(field_name=\\\"farm_companies[]\\\", attr_name=\\\"ogrnip\\\"),\\n \\\"page20-surname\\\": FieldAttributeMatcher(field_name=\\\"farm_companies[]\\\",\\n attr_name=\\\"person.surname\\\"),\\n \\\"page20-name\\\": FieldAttributeMatcher(field_name=\\\"farm_companies[]\\\", attr_name=\\\"person.name\\\"),\\n \\\"page20-patronymic\\\": FieldAttributeMatcher(field_name=\\\"farm_companies[]\\\",\\n attr_name=\\\"person.patronymic\\\"),\\n \\\"page20-inn\\\": FieldAttributeMatcher(field_name=\\\"farm_companies[]\\\", attr_name=\\\"person.inn\\\"),\\n\\n # page21-organization_full_name\\n # page21-title\\n # page21-fio\\n\\n \\\"%page_N-set-1\\\": FieldSetMatcher(fields={\\n \\\"page22-zayavitel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"founder_type\\\",\\n adapter=\\\"FounderTypeNumberAdapter\\\"),\\n \\\"page24-document_delivery_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"documents_recipient_type\\\",\\n adapter=\\\"DocumentDeliveryNumberAdapter\\\"),\\n }),\\n \\\"%page_N-set-2\\\": FieldSetMatcher(fields={\\n \\\"page22-zayavitel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"founder_type\\\",\\n adapter=\\\"FounderTypeNumberAdapter\\\"),\\n\\n \\\"page22-zayavitel_surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.surname\\\"),\\n \\\"page22-zayavitel_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.name\\\"),\\n \\\"page22-zayavitel_patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.patronymic\\\"),\\n\\n \\\"page24-document_delivery_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"documents_recipient_type\\\",\\n adapter=\\\"DocumentDeliveryNumberAdapter\\\"),\\n }),\\n \\\"%page_N-set-2dup\\\": FieldSetMatcher(fields={\\n \\\"page22-zayavitel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"founder_type\\\",\\n adapter=\\\"FounderTypeNumberAdapter\\\"),\\n\\n \\\"page22-zayavitel_surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.surname\\\"),\\n \\\"page22-zayavitel_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.name\\\"),\\n \\\"page22-zayavitel_patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.patronymic\\\"),\\n\\n \\\"page22-zayavitel_birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.day\\\"),\\n \\\"page22-zayavitel_birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.month\\\"),\\n \\\"page22-zayavitel_birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.year\\\"),\\n \\\"page22-zayavitel_birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthplace\\\"),\\n\\n \\\"page24-document_delivery_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"documents_recipient_type\\\",\\n adapter=\\\"DocumentDeliveryNumberAdapter\\\"),\\n }),\\n \\\"%page_N-set-3\\\": FieldSetMatcher(fields={\\n \\\"page22-zayavitel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"founder_type\\\",\\n adapter=\\\"FounderTypeNumberAdapter\\\"),\\n\\n \\\"page22-ogrn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"company.ogrn\\\"),\\n \\\"page22-uchreditel_inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.inn\\\"),\\n \\\"page22-uchreditel_full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.qualified_full_name\\\"),\\n\\n \\\"page22-zayavitel_surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.surname\\\"),\\n \\\"page22-zayavitel_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.name\\\"),\\n \\\"page22-zayavitel_patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.patronymic\\\"),\\n \\\"page22-zayavitel_inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.inn\\\"),\\n \\\"page22-zayavitel_birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthdate.day\\\"),\\n \\\"page22-zayavitel_birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthdate.month\\\"),\\n \\\"page22-zayavitel_birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthdate.year\\\"),\\n \\\"page22-zayavitel_birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthplace\\\"),\\n\\n \\\"page23-issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_depart\\\"),\\n \\\"page23-doc_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.document_type\\\"),\\n \\\"page23-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attributes=[\\\"company.general_manager.passport.series\\\",\\n \\\"company.general_manager.passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page23-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_date.day\\\"),\\n \\\"page23-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_date.month\\\"),\\n \\\"page23-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_date.year\\\"),\\n \\\"page23-issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.depart_code\\\"),\\n \\\"page23-issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.depart_code\\\"),\\n \\\"page23-postal_index\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.index\\\"),\\n \\\"page23-address_subject_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page23-address_district_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page23-address_city_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page23-address_city_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.city\\\"),\\n \\\"page23-address_nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page23-address_street_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page23-address_house_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.house_type\\\"),\\n \\\"page23-address_corpus_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.building_type\\\"),\\n \\\"page23-address_house_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.house\\\"),\\n \\\"page23-address_corpus_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.building\\\"),\\n \\\"page23-address_flat_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.flat_type\\\"),\\n \\\"page23-address_flat_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.flat\\\"),\\n \\\"page23-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.living_country_code\\\"),\\n \\\"page23-phone_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.phone.normalised\\\"),\\n \\\"page23-email\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.email\\\"),\\n \\\"page23-address_district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.district\\\"),\\n \\\"page23-address_nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.village\\\"),\\n \\\"page23-address_street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.street\\\"),\\n \\\"page23-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.living_address\\\"),\\n\\n \\\"page24-document_delivery_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"documents_recipient_type\\\",\\n adapter=\\\"DocumentDeliveryNumberAdapter\\\"),\\n }),\\n \\\"%page_N-set-5\\\": FieldSetMatcher(fields={\\n \\\"page22-zayavitel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"founder_type\\\",\\n adapter=\\\"FounderTypeNumberAdapter\\\"),\\n\\n \\\"page22-zayavitel_surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.surname\\\"),\\n \\\"page22-zayavitel_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.name\\\"),\\n \\\"page22-zayavitel_patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.patronymic\\\"),\\n \\\"page22-zayavitel_inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.inn\\\"),\\n \\\"page22-zayavitel_birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthdate.day\\\"),\\n \\\"page22-zayavitel_birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthdate.month\\\"),\\n \\\"page22-zayavitel_birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthdate.year\\\"),\\n \\\"page22-zayavitel_birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.birthplace\\\"),\\n\\n \\\"page23-issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_depart\\\"),\\n \\\"page23-doc_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.document_type\\\"),\\n \\\"page23-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attributes=[\\\"company.general_manager.passport.series\\\",\\n \\\"company.general_manager.passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page23-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_date.day\\\"),\\n \\\"page23-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_date.month\\\"),\\n \\\"page23-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.issue_date.year\\\"),\\n \\\"page23-issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.depart_code\\\"),\\n \\\"page23-issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.passport.depart_code\\\"),\\n \\\"page23-postal_index\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.index\\\"),\\n \\\"page23-address_subject_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page23-address_district_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page23-address_city_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page23-address_city_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.city\\\"),\\n \\\"page23-address_nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page23-address_street_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page23-address_house_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.house_type\\\"),\\n \\\"page23-address_corpus_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.building_type\\\"),\\n \\\"page23-address_house_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.house\\\"),\\n \\\"page23-address_corpus_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.building\\\"),\\n \\\"page23-address_flat_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.flat_type\\\"),\\n \\\"page23-address_flat_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.flat\\\"),\\n \\\"page23-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.living_country_code\\\"),\\n \\\"page23-phone_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.phone.normalised\\\"),\\n \\\"page23-email\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.email\\\"),\\n \\\"page23-address_district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.district\\\"),\\n \\\"page23-address_nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.village\\\"),\\n \\\"page23-address_street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.address.street\\\"),\\n \\\"page23-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.general_manager.living_address\\\"),\\n\\n \\\"page24-document_delivery_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"documents_recipient_type\\\",\\n adapter=\\\"DocumentDeliveryNumberAdapter\\\"),\\n }),\\n \\\"%page_N-set-4\\\": FieldSetMatcher(fields={\\n \\\"page22-zayavitel_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"founder_type\\\",\\n adapter=\\\"FounderTypeNumberAdapter\\\"),\\n\\n \\\"page22-uchreditel_inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.inn\\\"),\\n \\\"page22-uchreditel_full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"company.full_name\\\"),\\n\\n \\\"page22-zayavitel_surname\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.surname\\\"),\\n \\\"page22-zayavitel_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.name\\\"),\\n \\\"page22-zayavitel_patronymic\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.patronymic\\\"),\\n \\\"page22-zayavitel_inn\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.inn\\\"),\\n \\\"page22-zayavitel_birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.day\\\"),\\n \\\"page22-zayavitel_birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.month\\\"),\\n \\\"page22-zayavitel_birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthdate.year\\\"),\\n \\\"page22-zayavitel_birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.birthplace\\\"),\\n\\n \\\"page23-issuer__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_depart\\\"),\\n \\\"page23-doc_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.document_type\\\"),\\n \\\"page23-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attributes=[\\\"person.passport.series\\\",\\n \\\"person.passport.number\\\"],\\n adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page23-doc_issue_date__day\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.day\\\"),\\n \\\"page23-doc_issue_date__month\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.month\\\"),\\n \\\"page23-doc_issue_date__year\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.issue_date.year\\\"),\\n \\\"page23-issuer_subdivision_code__left\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.depart_code\\\"),\\n \\\"page23-issuer_subdivision_code__right\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.passport.depart_code\\\"),\\n \\\"page23-postal_index\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.index\\\"),\\n \\\"page23-address_subject_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.region\\\",\\n adapter=\\\"RFRegionNumberAdapter\\\"),\\n \\\"page23-address_district_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.district_type\\\",\\n adapter=\\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page23-address_city_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.city_type\\\",\\n adapter=\\\"ShortCityTypeAdapter\\\"),\\n \\\"page23-address_city_name\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.city\\\"),\\n \\\"page23-address_nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.village_type\\\",\\n adapter=\\\"ShortVillageTypeAdapter\\\"),\\n \\\"page23-address_street_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.street_type\\\",\\n adapter=\\\"ShortStreetTypeAdapter\\\"),\\n \\\"page23-address_house_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.house_type\\\"),\\n \\\"page23-address_corpus_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.building_type\\\"),\\n \\\"page23-address_house_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.house\\\"),\\n \\\"page23-address_corpus_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.building\\\"),\\n \\\"page23-address_flat_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.flat_type\\\"),\\n \\\"page23-address_flat_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.flat\\\"),\\n \\\"page23-living_country_code\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.living_country_code\\\"),\\n \\\"page23-phone_number\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.phone.normalised\\\"),\\n \\\"page23-email\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\", attr_name=\\\"person.email\\\"),\\n \\\"page23-address_district_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.district\\\"),\\n \\\"page23-address_nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.village\\\"),\\n \\\"page23-address_street_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.address.street\\\"),\\n \\\"page23-living_address__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"person.living_address\\\"),\\n\\n \\\"page24-document_delivery_type\\\": FieldAttributeMatcher(field_name=\\\"founders[]\\\",\\n attr_name=\\\"documents_recipient_type\\\",\\n adapter=\\\"DocumentDeliveryNumberAdapter\\\"),\\n })\\n }\\n }\\n P11001_SCHEMA = {\\\"doc_name\\\": DocumentTypeEnum.DT_P11001,\\n \\\"file_name_template\\\": u\\\"Заявление на регистрацию ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"fields\\\": [\\n SHORT_NAME_FIELD,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n FOUNDERS_FIELD,\\n STARTER_CAPITAL_FIELD,\\n JOB_MAIN_CODE_FIELD,\\n JOB_CODE_ARRAY_FIELD,\\n GENERAL_MANAGER_FIELD\\n ]}\\n\\n ARTICLES_TEMPLATE = {\\n \\\"template_name\\\": \\\"soft_template_ustav\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"ustav_llc.tex\\\"),\\n \\\"is_strict\\\": False,\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ARTICLES\\n }\\n\\n ARTICLES_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ARTICLES,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Устав ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"validators\\\": [{\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"use_foreign_company_name\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"use_foreign_company_name\\\": True,\\n \\\"foreign_full_name\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"foreign_full_name\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"use_foreign_company_name\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"use_foreign_company_name\\\": True,\\n \\\"foreign_short_name\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"foreign_short_name\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"use_foreign_company_name\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"use_foreign_company_name\\\": True,\\n \\\"foreign_language\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"foreign_language\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"use_national_language_company_name\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"use_national_language_company_name\\\": True,\\n \\\"national_language_full_name\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"national_language_full_name\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"use_national_language_company_name\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"use_national_language_company_name\\\": True,\\n \\\"national_language_short_name\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"national_language_short_name\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"use_national_language_company_name\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"use_national_language_company_name\\\": True,\\n \\\"national_language\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"national_language\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"sovet_directorov_num\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"sovet_directorov_num\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"general_manager_deals_max_amount\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"general_manager_deals_max_amount\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"board_of_directors_caption\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"board_of_directors_caption\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"large_property_deals_max_value\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"large_property_deals_max_value\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"large_property_deals_min_value\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"large_property_deals_min_value\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"large_deals_min_value\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"large_deals_min_value\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"board_of_directors\\\": {\\n \\\"#ne\\\": True\\n }\\n }, {\\n \\\"board_of_directors\\\": True,\\n \\\"large_deals_max_value\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"large_deals_max_value\\\",\\n \\\"code\\\": 4\\n }\\n }],\\n \\\"fields\\\": [\\n SHORT_NAME_FIELD,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n STARTER_CAPITAL_FIELD,\\n JOB_MAIN_CODE_FIELD,\\n JOB_CODE_ARRAY_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n USE_FOREIGN_COMPANY_NAME_FIELD,\\n USE_NATIONAL_LANGUAGE_COMPANY_NAME_FIELD,\\n FOREIGN_FULL_NAME_FIELD,\\n FOREIGN_SHORT_NAME_FIELD,\\n NATIONAL_LANGUAGE_FULL_NAME_FIELD,\\n NATIONAL_LANGUAGE_SHORT_NAME_FIELD,\\n FOREIGN_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FIELD,\\n BOARD_OF_DIRECTORS_FIELD,\\n FOUNDERS_COUNT_FIELD, {\\n \\\"name\\\": \\\"pravo_otchuzhdeniya_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"AlienationRightEnum\\\",\\n \\\"required\\\": True,\\n }, {\\n \\\"name\\\": \\\"preimusch_pravo_priobreteniya_doli_time_span\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": True,\\n \\\"min_val\\\": 30\\n }, {\\n \\\"name\\\": \\\"perehod_doli_k_naslednikam_soglasie\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": True,\\n }, {\\n \\\"name\\\": \\\"sovet_directorov_num\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False,\\n \\\"even\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_deals_max_amount\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_term\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 6,\\n \\\"max_val\\\": 60,\\n \\\"required\\\": True,\\n }, {\\n \\\"name\\\": \\\"board_of_directors_caption\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"min_length\\\": 1,\\n \\\"allowed_re\\\": CompanyObject.RUS_COMPANY_NAME_RE\\n }, {\\n \\\"name\\\": \\\"large_deals_min_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 25,\\n \\\"max_val\\\": 100,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"large_deals_max_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 25,\\n \\\"max_val\\\": 100,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"large_property_deals_max_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"large_property_deals_min_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"necessary_votes_for_general_meeting_decisions\\\",\\n \\\"type\\\": \\\"NecessaryVotesForGeneralMeeting\\\",\\n \\\"required\\\": True,\\n }, {\\n \\\"name\\\": \\\"base_general_manager_document\\\",\\n \\\"type\\\": \\\"DocConstField\\\",\\n \\\"required\\\": False,\\n \\\"value\\\": u\\\"устав\\\"\\n }\\n ]}\\n\\n ACT_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ACT,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Акт приёма-передачи ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"founder->properties\\\": {\\n \\\"#not_empty\\\": True\\n }\\n },\\n \\\"fields\\\": [\\n SHORT_NAME_FIELD,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n GENERAL_MANAGER_FIELD,\\n FOUNDERS_COUNT_FIELD,\\n {\\n \\\"name\\\": \\\"founder\\\",\\n \\\"type\\\": \\\"FounderObject\\\",\\n \\\"required\\\": True,\\n }\\n ]}\\n\\n ACT_TEMPLATE = {\\n \\\"template_name\\\": \\\"soft_template_appi\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"akt_priema_peredachi.tex\\\"),\\n \\\"is_strict\\\": False,\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ACT\\n }\\n\\n USN_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_USN,\\n \\\"file_name_template\\\": u\\\"Заявление на УСН ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"taxation_type\\\": 'usn'\\n },\\n \\\"fields\\\": [\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n GENERAL_MANAGER_FIELD,\\n FOUNDERS_COUNT_FIELD,\\n FOUNDER_APPLICANT_FIELD,\\n JOB_MAIN_CODE_FIELD,\\n FOUNDERS_FIELD, {\\n \\\"name\\\": \\\"tax_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"UsnTaxType\\\",\\n \\\"required\\\": True,\\n }\\n ],\\n \\\"external_validators\\\": [\\\"usn_tax_type\\\"],\\n }\\n\\n USN_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_USN,\\n \\\"template_name\\\": \\\"strict_template1__usn\\\",\\n \\\"is_strict\\\": True,\\n \\\"pages\\\": [{\\n\\n \\\"variants\\\": {\\n \\\"type\\\": RenderingVariants.TYPE_RENDER_FIRST_MATCHING,\\n \\\"cases\\\": [\\n { # заявитель - физ. лицо, учредителей 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_usn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-1\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n },\\n \\\"founders_count\\\": 1\\n },\\n }, { # заявитель - физ. лицо, учредителей > 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_usn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-3\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n }\\n },\\n }, { # заявитель - российское юр. лицо, учредителей 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_usn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-2\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_COMPANY,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n },\\n \\\"founders_count\\\": 1\\n }\\n }, { # заявитель - российское юр. лицо, учредителей > 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_usn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-4\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_COMPANY,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n }\\n }\\n }, { # fallback\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_usn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-5\\\",\\n \\\"conditions\\\": {}\\n }]\\n },\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"name_line{{item}}\\\",\\n \\\"count\\\": 4,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"applicant-name__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": 20,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"agent-doc-name__line{{item}}\\\",\\n \\\"field-length\\\": 20,\\n \\\"case\\\": \\\"upper\\\",\\n \\\"count\\\": 2,\\n }\\n ],\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"kpp\\\",\\n \\\"field-length\\\": 9\\n }, {\\n \\\"name\\\": \\\"kod_nalog_organa\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"priznak_zayavitelya\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"perehod\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"god_zayavleniya\\\",\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"phone\\\",\\n \\\"field-length\\\": 20\\n }, {\\n \\\"name\\\": \\\"applicant-type\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"current-date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"current-date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"current-date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"dohod\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"god_podachi_uvedomleniya\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\": \\\"polucheno_dohodov\\\",\\n \\\"field-length\\\": 9\\n }, {\\n \\\"name\\\": \\\"ostatok\\\",\\n \\\"field-length\\\": 9\\n }\\n ]\\n }]\\n }\\n\\n USN_MATCHER = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_USN,\\n \\\"template_name\\\": USN_TEMPLATE['template_name'],\\n \\\"fields\\\": {\\n \\\"%set-1\\\": FieldSetMatcher(fields={\\n \\\"applicant-name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"agent-doc-name__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"name_line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"polucheno_dohodov\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ostatok\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kod_nalog_organa\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"god_zayavleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"applicant-type\\\": ConstantMatcher(value=1),\\n \\\"current-date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"current-date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"current-date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"dohod\\\": SimpleMatcher(field_name=\\\"tax_type\\\", adapter=\\\"UsnTaxTypeAdapter\\\"),\\n # \\\"dov_page_number\\\" : 1 if applicant_type = 2 else \\\"\\\",\\n \\\"god_podachi_uvedomleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-2\\\": FieldSetMatcher(fields={\\n \\\"applicant-name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"agent-doc-name__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"name_line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"polucheno_dohodov\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ostatok\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kod_nalog_organa\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"god_zayavleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"applicant-type\\\": ConstantMatcher(value=1),\\n \\\"current-date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"current-date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"current-date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n \\\"dohod\\\": SimpleMatcher(field_name=\\\"tax_type\\\", adapter=\\\"UsnTaxTypeAdapter\\\"),\\n \\\"god_podachi_uvedomleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-3\\\": FieldSetMatcher(fields={\\n \\\"applicant-name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"agent-doc-name__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"name_line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"polucheno_dohodov\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ostatok\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kod_nalog_organa\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"god_zayavleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"applicant-type\\\": ConstantMatcher(value=1),\\n \\\"current-date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"current-date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"current-date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"dohod\\\": SimpleMatcher(field_name=\\\"tax_type\\\", adapter=\\\"UsnTaxTypeAdapter\\\"),\\n \\\"god_podachi_uvedomleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-4\\\": FieldSetMatcher(fields={\\n \\\"applicant-name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"agent-doc-name__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"name_line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"polucheno_dohodov\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ostatok\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kod_nalog_organa\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"god_zayavleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"applicant-type\\\": ConstantMatcher(value=1),\\n \\\"current-date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"current-date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"current-date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n \\\"dohod\\\": SimpleMatcher(field_name=\\\"tax_type\\\", adapter=\\\"UsnTaxTypeAdapter\\\"),\\n \\\"god_podachi_uvedomleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-5\\\": FieldSetMatcher(fields={\\n \\\"applicant-name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"agent-doc-name__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"name_line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"polucheno_dohodov\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ostatok\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kod_nalog_organa\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"god_zayavleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n\\n \\\"applicant-type\\\": ConstantMatcher(value=1),\\n \\\"current-date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"current-date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"current-date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n \\\"dohod\\\": SimpleMatcher(field_name=\\\"tax_type\\\", adapter=\\\"UsnTaxTypeAdapter\\\"),\\n \\\"god_podachi_uvedomleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n })\\n }\\n }\\n\\n DECISION_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_DECISION,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Решение единственного учредителя ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"founders_count\\\": 1\\n },\\n \\\"fields\\\": [\\n FOUNDER_APPLICANT_FIELD,\\n SHORT_NAME_FIELD,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n STARTER_CAPITAL_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n USE_FOREIGN_COMPANY_NAME_FIELD,\\n USE_NATIONAL_LANGUAGE_COMPANY_NAME_FIELD,\\n FOREIGN_FULL_NAME_FIELD,\\n FOREIGN_SHORT_NAME_FIELD,\\n NATIONAL_LANGUAGE_FULL_NAME_FIELD,\\n NATIONAL_LANGUAGE_SHORT_NAME_FIELD,\\n FOREIGN_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FIELD,\\n FOUNDERS_COUNT_FIELD, {\\n \\\"name\\\": \\\"general_manager\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": True,\\n \\\"override_fields_kwargs\\\": {\\n \\\"phone\\\": {\\n \\\"required\\\": True\\n }\\n }\\n }\\n ]\\n }\\n\\n DECISION_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_DECISION,\\n \\\"template_name\\\": \\\"soft_template_reshenie\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"reshenie.tex\\\"),\\n \\\"is_strict\\\": False,\\n }\\n\\n PROTOCOL_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_PROTOCOL,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Протокол ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"founders_count\\\": {\\n \\\"#gt\\\": 1\\n }\\n },\\n \\\"fields\\\": [\\n GENERAL_MANAGER_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n FOUNDERS_FIELD,\\n SHORT_NAME_FIELD,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n STARTER_CAPITAL_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n USE_FOREIGN_COMPANY_NAME_FIELD,\\n USE_NATIONAL_LANGUAGE_COMPANY_NAME_FIELD,\\n FOUNDER_APPLICANT_FIELD,\\n FOREIGN_FULL_NAME_FIELD,\\n FOREIGN_SHORT_NAME_FIELD,\\n NATIONAL_LANGUAGE_FULL_NAME_FIELD,\\n NATIONAL_LANGUAGE_SHORT_NAME_FIELD,\\n FOREIGN_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FIELD,\\n FOUNDERS_COUNT_FIELD,\\n {\\n \\\"name\\\": \\\"share_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"NumericPartEnum\\\",\\n \\\"required\\\": False\\n },\\n {\\n \\\"name\\\": \\\"reg_responsible_founder\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": False\\n },\\n {\\n \\\"name\\\": \\\"doc_obtain_founder\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": False\\n },\\n {\\n \\\"name\\\": \\\"registration_way\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"RegistrationWay\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"obtain_way\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"DocumentDeliveryTypeStrEnum\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"selected_secretary\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"reg_responsible_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"selected_moderator\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"reg_responsible_person_obj\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"db_object\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\": True,\\n \\\"value\\\": {\\n \\\"#cases\\\": {\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"registration_way\\\": \\\"some_founders\\\"\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"reg_responsible_founder\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"selected_moderator\\\"\\n }\\n }\\n }\\n }\\n },\\n {\\n \\\"name\\\":\\\"founders_ref_list\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"DocTextField\\\",\\n \\\"value\\\": FOUNDERS_REF_LIST_TEMP_VARIABLE,\\n \\\"depends_on\\\": [\\\"founders\\\"],\\n \\\"suppress_validation_errors\\\": True,\\n }\\n ],\\n \\\"validators\\\": [{\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"selected_secretary\\\": {\\n \\\"#empty\\\": True\\n }\\n }, {\\n \\\"selected_secretary->_id\\\":\\n {\\n \\\"#in\\\": \\\"@founders_ref_list\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"selected_secretary\\\",\\n \\\"code\\\": 5\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"selected_moderator\\\": {\\n \\\"#empty\\\": True\\n }\\n }, {\\n \\\"selected_moderator->_id\\\":\\n {\\n \\\"#in\\\": \\\"@founders_ref_list\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"selected_moderator\\\",\\n \\\"code\\\": 5\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"registration_way\\\": {\\n \\\"#ne\\\": \\\"some_founders\\\"\\n }\\n }, {\\n \\\"registration_way\\\": \\\"some_founders\\\",\\n \\\"reg_responsible_founder->id\\\": {\\n \\\"#in\\\": \\\"@founders_ref_list\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"reg_responsible_founder\\\",\\n \\\"code\\\": 5\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"registration_way\\\": {\\n \\\"#ne\\\": \\\"responsible_person\\\"\\n }\\n }, {\\n \\\"registration_way\\\": \\\"responsible_person\\\",\\n \\\"reg_responsible_person\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"reg_responsible_person\\\",\\n \\\"code\\\": 5\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"reg_responsible_person->_id\\\": {\\n \\\"#nin\\\": \\\"@founders_ref_list\\\"\\n }\\n }, {\\n \\\"registration_way\\\": {\\n \\\"#ne\\\": \\\"responsible_person\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"reg_responsible_person\\\",\\n \\\"code\\\": 5\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"doc_obtain_founder->_id\\\": {\\n \\\"#in\\\": \\\"@founders_ref_list\\\"\\n }\\n }, {\\n \\\"obtain_way\\\": {\\n \\\"#ne\\\": \\\"founder\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"doc_obtain_founder\\\",\\n \\\"code\\\": 5\\n }\\n },\\n # {\\n # \\\"condition\\\" : {\\n # \\\"#or\\\" : [{\\n # \\\"share_type\\\" : {\\n # \\\"#ne\\\" : \\\"fraction\\\"\\n # }\\n # }, {\\n # \\\"share_type\\\" : \\\"fraction\\\",\\n # \\\"is_all_divisible\\\" : True\\n # }]\\n # },\\n # \\\"error\\\" : {\\n # \\\"field\\\" : \\\"capital_divisibility\\\",\\n # \\\"code\\\" : 5\\n # },\\n # \\\"#set\\\" : {\\n # \\\"is_all_divisible\\\" : {\\n # \\\"#aggregate\\\" : {\\n # \\\"field\\\" : \\\"founders\\\",\\n # \\\"attr\\\" : \\\"is_starter_capital_dividable\\\",\\n # \\\"operator\\\" : \\\"and\\\"\\n # }\\n # }\\n # }\\n # }\\n ]\\n }\\n\\n PROTOCOL_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_PROTOCOL,\\n \\\"template_name\\\": \\\"soft_template_protocol\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"protocol.tex\\\"),\\n \\\"is_strict\\\": False,\\n }\\n\\n ESHN_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ESHN,\\n \\\"file_name_template\\\": u\\\"Заявление на ЕСХН ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"taxation_type\\\": TaxType.TT_ESHN\\n },\\n \\\"fields\\\": [\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n GENERAL_MANAGER_FIELD,\\n FOUNDERS_COUNT_FIELD,\\n FOUNDER_APPLICANT_FIELD,\\n JOB_MAIN_CODE_FIELD\\n ],\\n \\\"external_validators\\\": [\\\"eshn_tax_type\\\"],\\n }\\n\\n ESHN_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ESHN,\\n \\\"template_name\\\": \\\"strict_template1__eshn\\\",\\n \\\"is_strict\\\": True,\\n \\\"pages\\\": [{\\n\\n \\\"variants\\\": {\\n \\\"type\\\": RenderingVariants.TYPE_RENDER_FIRST_MATCHING,\\n \\\"cases\\\": [\\n { # заявитель - физ. лицо, \\\"founders_count\\\" : 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_eshn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-1\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n },\\n \\\"founders_count\\\": 1\\n }\\n }, { # заявитель - российское юр. лицо, \\\"founders_count\\\" : 1\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_eshn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-2\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_COMPANY,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n },\\n \\\"founders_count\\\": 1\\n }\\n }, { # заявитель - физ. лицо\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_eshn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-3\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n }\\n }\\n }, { # заявитель - российское юр. лицо\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_eshn.pdf\\\")],\\n \\\"field_matcher_set\\\": \\\"%set-4\\\",\\n \\\"conditions\\\": {\\n \\\"founder_applicant.founder_type\\\": FounderTypeEnum.FT_COMPANY,\\n \\\"founder_applicant.documents_recipient_type\\\": {\\n \\\"#ne\\\": None\\n }\\n }\\n }]\\n },\\n \\\"array_fields\\\": [\\n {\\n \\\"name\\\": \\\"full_name__line{{item}}\\\",\\n \\\"count\\\": 4,\\n \\\"field-length\\\": 40,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"applicant__line{{item}}\\\",\\n \\\"count\\\": 3,\\n \\\"field-length\\\": 20,\\n \\\"case\\\": \\\"upper\\\"\\n }, {\\n \\\"name\\\": \\\"applicant_doc__line{{item}}\\\",\\n \\\"field-length\\\": 20,\\n \\\"case\\\": \\\"upper\\\",\\n \\\"count\\\": 2,\\n },\\n ],\\n \\\"fields\\\": [\\n {\\n \\\"name\\\": \\\"inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"kpp\\\",\\n \\\"field-length\\\": 9\\n }, {\\n \\\"name\\\": \\\"ifns\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"priznak_zayavitelya\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"perehod\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"phone\\\",\\n \\\"field-length\\\": 20\\n }, {\\n \\\"name\\\": \\\"applicant_type\\\",\\n \\\"field-length\\\": 1\\n }, {\\n \\\"name\\\": \\\"doc_date__day\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"doc_date__month\\\",\\n \\\"field-length\\\": 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\": u\\\"0\\\",\\n }, {\\n \\\"name\\\": \\\"doc_date__year\\\",\\n \\\"field-length\\\": 4\\n }, {\\n \\\"name\\\": \\\"dohod_maj\\\",\\n \\\"field-length\\\": 3\\n }, {\\n \\\"name\\\": \\\"dohod_min\\\",\\n \\\"field-length\\\": 2\\n }, {\\n \\\"name\\\": \\\"dohod_percent\\\",\\n \\\"field-length\\\": 1\\n }\\n ]\\n }]\\n }\\n\\n ESHN_MATCHER = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_ESHN,\\n \\\"template_name\\\": ESHN_TEMPLATE['template_name'],\\n \\\"fields\\\": {\\n \\\"%set-1\\\": FieldSetMatcher(fields={\\n \\\"applicant__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"applicant_doc__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_maj\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_min\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_percent\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ifns\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"applicant_type\\\": ConstantMatcher(value=1),\\n \\\"doc_date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"doc_date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"doc_date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-2\\\": FieldSetMatcher(fields={\\n \\\"applicant__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"applicant_doc__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_maj\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_min\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_percent\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ifns\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"applicant_type\\\": ConstantMatcher(value=1),\\n \\\"doc_date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"doc_date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"doc_date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-3\\\": FieldSetMatcher(fields={\\n \\\"applicant__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"applicant_doc__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_maj\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_min\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_percent\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ifns\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"applicant_type\\\": ConstantMatcher(value=1),\\n \\\"doc_date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"doc_date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"doc_date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n }),\\n \\\"%set-4\\\": FieldSetMatcher(fields={\\n \\\"applicant__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"general_manager\\\",\\n attr_name=\\\"full_name\\\"),\\n \\\"applicant_doc__line{{item}}\\\": ConstantMatcher(value=u\\\"УСТАВ\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name=\\\"general_manager\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"full_name__line{{item}}\\\": MultilineFieldMatcher(field_name=\\\"full_name\\\",\\n prefix=u\\\"Общество с ограниченной ответственностью «\\\",\\n suffix=u\\\"»\\\"),\\n \\\"inn\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_maj\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_min\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_percent\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ifns\\\": FieldAttributeMatcher(field_name=\\\"address\\\", attr_name=\\\"ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"applicant_type\\\": ConstantMatcher(value=1),\\n \\\"doc_date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"day\\\"),\\n \\\"doc_date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"month\\\"),\\n \\\"doc_date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date_or_today\\\", attr_name=\\\"year\\\"),\\n })\\n }\\n }\\n\\n CONTRACT_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_CONTRACT,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Договор ООО {{short_name}}\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"founders_count\\\": {\\n \\\"#gt\\\": 1\\n }\\n },\\n \\\"fields\\\": [\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n FOUNDERS_FIELD,\\n SHORT_NAME_FIELD,\\n STARTER_CAPITAL_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n USE_FOREIGN_COMPANY_NAME_FIELD,\\n USE_NATIONAL_LANGUAGE_COMPANY_NAME_FIELD,\\n FOREIGN_FULL_NAME_FIELD,\\n FOREIGN_SHORT_NAME_FIELD,\\n FOUNDERS_COUNT_FIELD,\\n NATIONAL_LANGUAGE_FULL_NAME_FIELD,\\n NATIONAL_LANGUAGE_SHORT_NAME_FIELD,\\n FOREIGN_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FIELD\\n ]\\n }\\n\\n CONTRACT_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_CONTRACT,\\n \\\"template_name\\\": \\\"soft_template_contract\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"contract.tex\\\"),\\n \\\"is_strict\\\": False\\n }\\n\\n REG_FEE_INVOICE_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_REGISTRATION_FEE_INVOICE,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_DOWNLOADABLE_FILE,\\n \\\"file_name_template\\\": u\\\"Квитанция на оплату регистрационной пошлины ООО {{short_name}}\\\",\\n \\\"http_method\\\": \\\"post\\\",\\n \\\"data_template_name\\\": get_test_resource_name(config, \\\"reg_fee_invoice__data.txt\\\"),\\n \\\"url_template_name\\\": get_test_resource_name(config, \\\"reg_fee_invoice__url.txt\\\"),\\n \\\"file_name_extension\\\": 'pdf',\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"founder_applicant\\\": {\\n \\\"#not_empty\\\": True\\n }\\n },\\n \\\"fields\\\": [\\n ADDRESS_TYPE_FIELD,\\n FOUNDER_APPLICANT_FIELD,\\n ADDRESS_FIELD_WITH_OKATO,\\n {\\n \\\"name\\\": \\\"address_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False,\\n \\\"override_fields_kwargs\\\": {\\n \\\"address\\\": {\\n \\\"required\\\": True,\\n \\\"override_fields_kwargs\\\": {\\n \\\"ifns\\\": {\\n \\\"required\\\": True\\n }\\n }\\n }\\n }\\n }\\n ],\\n \\\"validators\\\": [{\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"address_type\\\": {\\n \\\"#ne\\\": \\\"founder_registration_address\\\"\\n }\\n }, {\\n \\\"address_type\\\": \\\"founder_registration_address\\\",\\n \\\"address_person\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"address_person\\\",\\n \\\"code\\\": 4\\n }\\n }, {\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"address_type\\\": {\\n \\\"#ne\\\": \\\"founder_registration_address\\\"\\n }\\n }, {\\n \\\"address_type\\\": \\\"founder_registration_address\\\",\\n \\\"address_person->address->okato\\\": {\\n \\\"#not_empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"address_person.address.okato\\\",\\n \\\"code\\\": 4\\n }\\n }]\\n }\\n\\n OOO_BANK_PARTNER_APPLICATION_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_OOO_BANK_PARTNER_APPLICATION,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_DOWNLOADABLE_FILE,\\n \\\"file_name_template\\\": u\\\"заявление на открытие рассчетного счета в банке-партнере\\\",\\n \\\"http_method\\\": \\\"post\\\",\\n \\\"data_template_name\\\": get_test_resource_name(config, \\\"ooo_bank_partner_application__data.txt\\\"),\\n \\\"url_template_name\\\": get_test_resource_name(config, \\\"ooo_bank_partner_application__url.txt\\\"),\\n \\\"file_name_extension\\\": 'pdf',\\n \\\"fields\\\": [],\\n \\\"validators\\\": []\\n }\\n\\n DOVERENNOST_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_DOVERENNOST,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Доверенность на подачу документов\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"registration_way\\\": RegistrationWay.RW_RESPONSIBLE_PERSON\\n },\\n \\\"fields\\\": [\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n FOUNDERS_FIELD,\\n FOUNDER_APPLICANT_FIELD, {\\n \\\"name\\\": \\\"reg_responsible_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": True,\\n \\\"override_fields_kwargs\\\": {\\n \\\"address\\\": {\\n \\\"required\\\": True\\n }\\n }\\n },\\n {\\n \\\"name\\\":\\\"founders_ref_list\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"DocTextField\\\",\\n \\\"depends_on\\\": [\\\"founders\\\"],\\n \\\"value\\\": FOUNDERS_REF_LIST_TEMP_VARIABLE,\\n \\\"suppress_validation_errors\\\": True,\\n }\\n ],\\n \\\"validators\\\": [{\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"reg_responsible_person->_id\\\": {\\n \\\"#nin\\\": \\\"@founders_ref_list\\\"\\n }\\n }, {\\n \\\"registration_way\\\": {\\n \\\"#ne\\\": \\\"responsible_person\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"reg_responsible_person\\\",\\n \\\"code\\\": 5\\n }\\n }]\\n }\\n\\n DOVERENNOST2_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_DOVERENNOST_OBTAIN,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Доверенность на получение документов\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"obtain_way\\\": DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT_OR_AGENT,\\n \\\"#or\\\": [{\\n \\\"registration_way\\\": RegistrationWay.RW_RESPONSIBLE_PERSON,\\n \\\"doc_obtain_person\\\": {\\n \\\"#ne\\\": \\\"@reg_responsible_person\\\"\\n }\\n }, {\\n \\\"registration_way\\\": {\\n \\\"#ne\\\": RegistrationWay.RW_RESPONSIBLE_PERSON\\n }\\n }]\\n },\\n \\\"fields\\\": [\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY,\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n FOUNDERS_FIELD,\\n FOUNDER_APPLICANT_FIELD,\\n {\\n \\\"name\\\": \\\"doc_obtain_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": True,\\n \\\"override_fields_kwargs\\\": {\\n \\\"address\\\": {\\n \\\"required\\\": True\\n }\\n }\\n },\\n {\\n \\\"name\\\":\\\"founders_ref_list\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"DocTextField\\\",\\n \\\"depends_on\\\": [\\\"founders\\\"],\\n \\\"value\\\": FOUNDERS_REF_LIST_TEMP_VARIABLE,\\n \\\"suppress_validation_errors\\\": True,\\n }\\n ],\\n \\\"validators\\\": [{\\n \\\"condition\\\": {\\n \\\"#or\\\": [{\\n \\\"doc_obtain_person->_id\\\": {\\n \\\"#nin\\\": \\\"@founders_ref_list\\\"\\n }\\n }, {\\n \\\"obtain_way\\\": {\\n \\\"#ne\\\": \\\"responsible_person\\\"\\n }\\n }]\\n },\\n \\\"error\\\": {\\n \\\"field\\\": \\\"doc_obtain_person\\\",\\n \\\"code\\\": 5\\n }\\n }]\\n }\\n\\n DOVERENNOST_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_DOVERENNOST,\\n \\\"template_name\\\": \\\"soft_template_doverennost\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"doverennost.tex\\\"),\\n \\\"is_strict\\\": False,\\n }\\n\\n DOVERENNOST_OBTAIN_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_DOVERENNOST_OBTAIN,\\n \\\"template_name\\\": \\\"soft_template_doverennost\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"doverennost.tex\\\"),\\n \\\"is_strict\\\": False,\\n }\\n\\n SOGLASIE_SOBSTVENNIKOV_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_SOGLASIE_SOBSTVENNIKOV,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Заявление - Согласие собственников\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"address_type\\\": AddressType.AT_REAL_ESTATE_ADDRESS,\\n \\\"address_other_owner\\\": True\\n },\\n \\\"fields\\\": [\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY\\n ]\\n }\\n\\n SOGLASIE_SOBSTVENNIKOV_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_SOGLASIE_SOBSTVENNIKOV,\\n \\\"template_name\\\": \\\"soft_template_SOGLASIE_SOBSTVENNIKOV\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"soglasie_sobstvennikov.tex\\\"),\\n \\\"is_strict\\\": False,\\n }\\n\\n GARANT_LETTER_ARENDA_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_GARANT_LETTER_ARENDA,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Гарантийное письмо (аренда)\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n u\\\"@address_type\\\": {\\n \\\"#in\\\": [\\\"office_address\\\"]\\n }\\n },\\n \\\"fields\\\": [\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY\\n ]\\n }\\n\\n GARANT_LETTER_ARENDA_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_GARANT_LETTER_ARENDA,\\n \\\"template_name\\\": \\\"soft_template_garant_letter_arenda\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"garant_letter_arenda.tex\\\"),\\n \\\"is_strict\\\": False,\\n }\\n\\n GARANT_LETTER_SUBARENDA_SCHEMA = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_GARANT_LETTER_SUBARENDA,\\n \\\"doc_kind\\\": DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\": u\\\"Гарантийное письмо (субаренда)\\\",\\n \\\"batch_statuses\\\": [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n u\\\"@address_type\\\": {\\n \\\"#in\\\": [\\\"office_address\\\"]\\n }\\n },\\n \\\"fields\\\": [\\n FULL_NAME_FIELD,\\n ADDRESS_TYPE_FIELD_NR,\\n ADDRESS_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n DOC_DATE_OR_TODAY\\n ]\\n }\\n\\n GARANT_LETTER_SUBARENDA_TEMPLATE = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_GARANT_LETTER_SUBARENDA,\\n \\\"template_name\\\": \\\"soft_template_garant_letter_subarenda\\\",\\n \\\"file_name\\\": get_test_resource_name(config, \\\"garant_letter_subarenda.tex\\\"),\\n \\\"is_strict\\\": False\\n }\\n\\n ################################################################################################################\\n\\n LLC_REG_BATCH_SCHEMA = {\\n \\\"doc_name\\\": DocumentBatchTypeEnum.DBT_NEW_LLC,\\n \\\"fields\\\": [\\n SHORT_NAME_FIELD,\\n FULL_NAME_FIELD,\\n USE_FOREIGN_COMPANY_NAME_FIELD,\\n USE_NATIONAL_LANGUAGE_COMPANY_NAME_FIELD,\\n FOREIGN_FULL_NAME_FIELD,\\n FOREIGN_SHORT_NAME_FIELD,\\n NATIONAL_LANGUAGE_FULL_NAME_FIELD,\\n NATIONAL_LANGUAGE_SHORT_NAME_FIELD,\\n FOREIGN_LANGUAGE_FIELD,\\n NATIONAL_LANGUAGE_FIELD,\\n GENERAL_MANAGER_CAPTION_FIELD,\\n JOB_MAIN_CODE_FIELD,\\n JOB_CODE_ARRAY_FIELD,\\n GENERAL_MANAGER_FIELD,\\n BOARD_OF_DIRECTORS_FIELD,\\n DOC_DATE_FIELD_TODAY,\\n {\\n \\\"name\\\": \\\"lawyer_check\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"default\\\": False\\n },\\n {\\n \\\"name\\\": \\\"region\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"RFRegionsEnum\\\",\\n \\\"required\\\": True,\\n }, {\\n \\\"name\\\": \\\"share_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"NumericPartEnum\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"starter_capital\\\",\\n \\\"type\\\": \\\"DocCurrencyField\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"pravo_otchuzhdeniya_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"AlienationRightEnum\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"preimusch_pravo_priobreteniya_doli_time_span\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": True,\\n \\\"min_val\\\": 30\\n }, {\\n \\\"name\\\": \\\"perehod_doli_k_naslednikam_soglasie\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"sovet_directorov_num\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False,\\n \\\"even\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_deals_max_amount\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_term\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 6,\\n \\\"max_val\\\": 60,\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"board_of_directors_caption\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"allowed_re\\\": CompanyObject.RUS_COMPANY_NAME_RE\\n }, {\\n \\\"name\\\": \\\"large_deals_min_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 25,\\n \\\"max_val\\\": 100,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"large_deals_max_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 25,\\n \\\"max_val\\\": 100,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"large_property_deals_max_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"large_property_deals_min_value\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"necessary_votes_for_general_meeting_decisions\\\",\\n \\\"type\\\": \\\"NecessaryVotesForGeneralMeeting\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"selected_secretary\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"selected_moderator\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"tax_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"UsnTaxType\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"reg_responsible_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"reg_responsible_founder\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"doc_obtain_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"doc_obtain_founder\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"address\\\",\\n \\\"type\\\": \\\"DocAddressField\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"address_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"address_other_owner\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"default\\\": False\\n }, {\\n \\\"name\\\": \\\"founders\\\",\\n \\\"type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"FounderUIObject\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"taxation_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"TaxType\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"registration_way\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"RegistrationWay\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"obtain_way\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"DocumentDeliveryTypeStrEnum\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"address_type\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"AddressType\\\",\\n \\\"required\\\": True\\n }, {\\n \\\"name\\\": \\\"has_general_manager_contract\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"has_general_manager_order\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_contract_number\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"min_length\\\": 1\\n }, {\\n \\\"name\\\": \\\"general_manager_contract_date\\\",\\n \\\"type\\\": \\\"DocDateTimeField\\\",\\n \\\"input_format\\\": \\\"%Y-%m-%d\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_order_number\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"min_length\\\": 1\\n }, {\\n \\\"name\\\": \\\"general_manager_salary\\\",\\n \\\"type\\\": \\\"DocCurrencyField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_salary_days\\\",\\n \\\"type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_trial_period\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_quit_notify_period\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_fixed_working_hours\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_as_accountant\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"has_accountant_contract_order\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_start_work\\\",\\n \\\"type\\\": \\\"DocDateTimeField\\\",\\n \\\"input_format\\\": \\\"%Y-%m-%d\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_contract_number\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"min_length\\\": 1\\n }, {\\n \\\"name\\\": \\\"accountant_order_number\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"min_length\\\": 1\\n }, {\\n \\\"name\\\": \\\"accountant_salary\\\",\\n \\\"type\\\": \\\"DocCurrencyField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_salary_days\\\",\\n \\\"type\\\": \\\"DocArrayField\\\",\\n \\\"cls\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_trial_period\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_fixed_working_hours\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"ogrn\\\",\\n \\\"type\\\": \\\"DocIntField\\\",\\n \\\"min_val\\\": 1000000000000,\\n \\\"max_val\\\": 9999999999999,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"inn\\\",\\n \\\"type\\\": \\\"DocINNField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"kpp\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 9,\\n \\\"max_length\\\": 9,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"actual_address\\\",\\n \\\"type\\\": \\\"DocAddressField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"bank_bik\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 9,\\n \\\"max_length\\\": 9,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"bank_account\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 20,\\n \\\"max_length\\\": 20,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_working_hours\\\",\\n \\\"type\\\": \\\"DocWorkingHoursField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_working_hours\\\",\\n \\\"type\\\": \\\"DocWorkingHoursField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_contract_additional_terms\\\",\\n \\\"type\\\": \\\"DocAdditionalRightsField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_as_accountant_order_number\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 1,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accountant_has_special_terms\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"default\\\": False\\n }, {\\n \\\"name\\\": \\\"general_manager_has_special_terms\\\",\\n \\\"type\\\": \\\"DocBoolField\\\",\\n \\\"default\\\": False\\n }, {\\n \\\"name\\\": \\\"registration_date\\\",\\n \\\"type\\\": \\\"DocDateTimeField\\\",\\n \\\"input_format\\\": \\\"%Y-%m-%d\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"company_email\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 1,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"company_site\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 10,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"company_phone\\\",\\n \\\"type\\\": \\\"DocPhoneNumberField\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"stamp_partner_id\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 1,\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"accounts_partner_id\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"min_length\\\": 1,\\n \\\"required\\\": False\\n }\\n ]\\n }\\n\\n REGISTRATION_ADDRESS_FIELD = copy.copy(ADDRESS_FIELD)\\n REGISTRATION_ADDRESS_FIELD['name'] = 'registration_address'\\n\\n LLC_REG_RESULT_FIELDS = [{\\n \\\"name\\\": \\\"founder_applicant\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"db_object\\\",\\n \\\"required\\\": False,\\n \\\"value\\\": {\\n \\\"#set\\\": {\\n \\\"selected_founder\\\": {\\n \\\"#pick_array_item\\\": {\\n \\\"array_field\\\": \\\"founders\\\",\\n \\\"conditions\\\": {\\n \\\"#or\\\": [{\\n \\\"founders|size\\\": 1,\\n }, {\\n \\\"founders|size\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"responsible_person\\\",\\n \\\"<loop_item>->founder\\\": \\\"@selected_moderator\\\"\\n }, {\\n \\\"founders|size\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"founder\\\",\\n \\\"<loop_item>->founder\\\": \\\"@doc_obtain_founder\\\"\\n }, {\\n \\\"founders|size\\\": {\\n \\\"#gt\\\": 1\\n },\\n \\\"obtain_way\\\": \\\"mail\\\",\\n \\\"<loop_item>->founder\\\": \\\"@selected_moderator\\\"\\n }]\\n }\\n }\\n }\\n },\\n \\\"#object\\\": {\\n \\\"type\\\": {\\n \\\"#field\\\": \\\"selected_founder->founder->type\\\"\\n },\\n \\\"_id\\\": {\\n \\\"#field\\\": \\\"selected_founder->founder->_id\\\"\\n }\\n }\\n }\\n }, {\\n \\\"name\\\": \\\"ifns\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False,\\n \\\"depends_on\\\": [\\\"address\\\"],\\n \\\"value\\\": {\\n \\\"#cases\\\": {\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"address_type\\\": \\\"founder_registration_address\\\"\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"address_person->address->ifns\\\"\\n }\\n }, {\\n \\\"conditions\\\": {\\n \\\"address_type\\\": \\\"general_manager_registration_address\\\",\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"general_manager->address->ifns\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"address->ifns\\\"\\n }\\n }\\n }\\n }\\n },\\n REGISTRATION_ADDRESS_FIELD,\\n {\\n \\\"name\\\": \\\"first_work_day\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocDateTimeField\\\",\\n \\\"input_format\\\": \\\"%Y-%m-%d\\\",\\n \\\"required\\\": False,\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"registration_date->next_working_day_p\\\"\\n }\\n }\\n # {\\n # \\\"name\\\" : \\\"ifns_reg_info\\\",\\n # \\\"type\\\" : \\\"calculated\\\",\\n # \\\"field_type\\\" : \\\"IfnsRegInfoField\\\",\\n # \\\"required\\\" : False,\\n # \\\"value\\\" : {\\n # \\\"#exec\\\" : {\\n # \\\"module\\\" : \\\"external_methods.llc_reg_methods\\\",\\n # \\\"method\\\" : \\\"get_company_registration_info\\\",\\n # \\\"kwargs\\\" : {\\n # \\\"batch_id\\\" : {\\n # \\\"#field\\\" : \\\"<batch_id>\\\"\\n # }\\n # }\\n # }\\n # }\\n # }\\n ]\\n\\n LLC_REG_DEFER_DOCS = [DocumentTypeEnum.DT_REGISTRATION_FEE_INVOICE]\\n\\n return {\\n \\\"P11001_TEMPLATE\\\": P11001_TEMPLATE,\\n \\\"P11001_MATCHER\\\": P11001_MATCHER,\\n \\\"P11001_SCHEMA\\\": P11001_SCHEMA,\\n \\\"ARTICLES_TEMPLATE\\\": ARTICLES_TEMPLATE,\\n \\\"ARTICLES_SCHEMA\\\": ARTICLES_SCHEMA,\\n \\\"ACT_SCHEMA\\\": ACT_SCHEMA,\\n \\\"ACT_TEMPLATE\\\": ACT_TEMPLATE,\\n \\\"USN_TEMPLATE\\\": USN_TEMPLATE,\\n \\\"USN_MATCHER\\\": USN_MATCHER,\\n \\\"USN_SCHEMA\\\": USN_SCHEMA,\\n \\\"ESHN_TEMPLATE\\\": ESHN_TEMPLATE,\\n \\\"ESHN_MATCHER\\\": ESHN_MATCHER,\\n \\\"ESHN_SCHEMA\\\": ESHN_SCHEMA,\\n \\\"DECISION_TEMPLATE\\\": DECISION_TEMPLATE,\\n \\\"DECISION_SCHEMA\\\": DECISION_SCHEMA,\\n \\\"PROTOCOL_SCHEMA\\\": PROTOCOL_SCHEMA,\\n \\\"PROTOCOL_TEMPLATE\\\": PROTOCOL_TEMPLATE,\\n \\\"CONTRACT_SCHEMA\\\": CONTRACT_SCHEMA,\\n \\\"CONTRACT_TEMPLATE\\\": CONTRACT_TEMPLATE,\\n \\\"REG_FEE_INVOICE_SCHEMA\\\": REG_FEE_INVOICE_SCHEMA,\\n \\\"DOVERENNOST_SCHEMA\\\": DOVERENNOST_SCHEMA,\\n \\\"DOVERENNOST2_SCHEMA\\\": DOVERENNOST2_SCHEMA,\\n \\\"DOVERENNOST_TEMPLATE\\\": DOVERENNOST_TEMPLATE,\\n \\\"DOVERENNOST_OBTAIN_TEMPLATE\\\": DOVERENNOST_OBTAIN_TEMPLATE,\\n \\\"SOGLASIE_SOBSTVENNIKOV_SCHEMA\\\": SOGLASIE_SOBSTVENNIKOV_SCHEMA,\\n \\\"SOGLASIE_SOBSTVENNIKOV_TEMPLATE\\\": SOGLASIE_SOBSTVENNIKOV_TEMPLATE,\\n \\\"GARANT_LETTER_ARENDA_SCHEMA\\\": GARANT_LETTER_ARENDA_SCHEMA,\\n \\\"GARANT_LETTER_ARENDA_TEMPLATE\\\": GARANT_LETTER_ARENDA_TEMPLATE,\\n \\\"GARANT_LETTER_SUBARENDA_SCHEMA\\\": GARANT_LETTER_SUBARENDA_SCHEMA,\\n \\\"GARANT_LETTER_SUBARENDA_TEMPLATE\\\": GARANT_LETTER_SUBARENDA_TEMPLATE,\\n \\\"LLC_REG_BATCH_SCHEMA\\\": LLC_REG_BATCH_SCHEMA,\\n \\\"LLC_REG_RESULT_FIELDS\\\": LLC_REG_RESULT_FIELDS,\\n \\\"LLC_REG_DEFER_DOCS\\\": LLC_REG_DEFER_DOCS,\\n \\\"OOO_BANK_PARTNER_APPLICATION_SCHEMA\\\": OOO_BANK_PARTNER_APPLICATION_SCHEMA\\n }\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6873385310173035,\n \"alphanum_fraction\": 0.6950904130935669,\n \"avg_line_length\": 20.5,\n \"blob_id\": \"4de0abed2fba878d8872031de989f48ab2004ec7\",\n \"content_id\": \"db55b814a751ddcad876ec82cffd75344b343d35\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 387,\n \"license_type\": \"no_license\",\n \"max_line_length\": 61,\n \"num_lines\": 18,\n \"path\": \"/app/deployment_migrations/migration_list/20151006_change_subscription.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Create new models\\\")\\n\\n sqldb.session.close()\\n\\n sqldb.engine.execute(u\\\"\\\"\\\"ALTER TABLE payment_subscription\\n ADD COLUMN pay_record_id INTEGER NOT NULL DEFAULT 0,\\n ADD COLUMN payment_provider INTEGER NOT NULL DEFAULT 0\\n;\\\"\\\"\\\")\\n\\n\\ndef rollback(config, logger):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6057007312774658,\n \"alphanum_fraction\": 0.606564462184906,\n \"avg_line_length\": 37.91596603393555,\n \"blob_id\": \"f446855cc64d1be92d36ec89f5acf860c0166521\",\n \"content_id\": \"aff55856065f72b36f51690ba8dbc34622859bf4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4631,\n \"license_type\": \"no_license\",\n \"max_line_length\": 107,\n \"num_lines\": 119,\n \"path\": \"/app/deployment_migrations/migration_list/20150912_migrate_partners_models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\n\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject\\nfrom services.partners.models import StampPartnersObject, AccountantPartnersObject, BankPartnersObject, \\\\\\n BankPartnersServiceObject, BankPartnerRequestObject\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Migrate partners models\\\")\\n\\n stamp_partners = db['stamp_partners']\\n StampPartnersObject.query.delete()\\n sqldb.session.commit()\\n for old_partner in stamp_partners.find():\\n new_partner = StampPartnersObject(\\n id=str(old_partner['_id']),\\n region=old_partner.get('region'),\\n enabled=old_partner.get('enabled', False),\\n sort_index=old_partner.get('sort_index', 1),\\n link=old_partner.get('region', ''),\\n banner=old_partner.get('banner', ''),\\n title=old_partner.get('title', ''),\\n created=old_partner.get('created', datetime.utcnow())\\n )\\n sqldb.session.add(new_partner)\\n sqldb.session.commit()\\n\\n accountant_partners = db['accountant_partners']\\n AccountantPartnersObject.query.delete()\\n sqldb.session.commit()\\n for old_partner in accountant_partners.find():\\n new_partner = AccountantPartnersObject(\\n id=str(old_partner['_id']),\\n type=old_partner['type'],\\n created=old_partner.get('created', datetime.utcnow()),\\n link=old_partner.get('region', ''),\\n title=old_partner.get('title', ''),\\n banner=old_partner.get('banner', ''),\\n enabled=old_partner.get('enabled', False),\\n sort_index=old_partner.get('sort_index', 1),\\n region=old_partner.get('region'),\\n city=old_partner.get('city')\\n )\\n sqldb.session.add(new_partner)\\n sqldb.session.commit()\\n\\n BankPartnerRequestObject.query.delete()\\n BankPartnersServiceObject.query.delete()\\n BankPartnersObject.query.delete()\\n sqldb.session.commit()\\n\\n bank_partners = db['bank_partners']\\n for old_partner in bank_partners.find():\\n new_partner = BankPartnersObject(\\n id=str(old_partner['_id']),\\n created=old_partner.get('created', datetime.utcnow()),\\n link=old_partner.get('region', ''),\\n title=old_partner.get('title', ''),\\n banner=old_partner.get('banner', ''),\\n enabled=old_partner.get('enabled', False),\\n sort_index=old_partner.get('sort_index', 1),\\n region=old_partner.get('region'),\\n city=old_partner.get('city'),\\n conditions=old_partner.get('conditions')\\n )\\n sqldb.session.add(new_partner)\\n sqldb.session.commit()\\n\\n bank_partners_service = db['bank_partners_service']\\n for old_svc in bank_partners_service.find():\\n bank_partner_id = str(old_svc.get('bank_partner_id', '')) if old_svc.get('bank_partner_id') else ''\\n if not bank_partner_id:\\n continue\\n bp = BankPartnersObject.query.filter_by(id=bank_partner_id).first()\\n if not bp:\\n continue\\n new_svc = BankPartnersServiceObject(\\n id=str(old_svc['_id']),\\n type=old_svc['type'],\\n fields=old_svc['fields'],\\n email=old_svc.get('email'),\\n template_name=old_svc.get('template_name'),\\n config=old_svc.get('config'),\\n bank_partner_id=bank_partner_id\\n )\\n sqldb.session.add(new_svc)\\n sqldb.session.commit()\\n\\n bank_partners_request = db['bank_partners_request']\\n for old_req in bank_partners_request.find():\\n batch_id = str(old_req['batch_id'])\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id).first()\\n if not batch:\\n continue\\n\\n bank_partner_id=str(old_req.get('bank_partner_id', ''))\\n if not bank_partner_id:\\n continue\\n bp = BankPartnersObject.query.filter_by(id=bank_partner_id).first()\\n if not bp:\\n continue\\n\\n new_req = BankPartnerRequestObject(\\n bank_partner_id=bank_partner_id,\\n batch_id=batch_id,\\n bank_partner_caption=old_req.get('bank_partner_caption'),\\n sent_date=old_req['sent_date'],\\n status=old_req['status'],\\n bank_contact_phone_general_manager=old_req.get('bank_contact_phone_general_manager'),\\n bank_contact_phone=old_req.get('bank_contact_phone'),\\n send_private_data=old_req.get('send_private_data')\\n )\\n sqldb.session.add(new_req)\\n sqldb.session.commit()\\n\\ndef rollback(config, logger):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6672077775001526,\n \"alphanum_fraction\": 0.6715368032455444,\n \"avg_line_length\": 36.72108840942383,\n \"blob_id\": \"d0945723f8446cc0290c5006b80a08bf397e4ea6\",\n \"content_id\": \"3c20823c750d0213a1134c393cf456d2a3b3a4de\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5544,\n \"license_type\": \"no_license\",\n \"max_line_length\": 113,\n \"num_lines\": 147,\n \"path\": \"/app/services/llc_reg/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport os\\n\\nimport jinja2\\n\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.doc_requisites_storage import DocRequisitiesStorage\\nfrom fw.documents.enums import DocumentBatchTypeEnum, DocumentTypeEnum\\nfrom fw.documents.fields.simple_doc_fields import DocMultiDeclensionField\\nfrom services.llc_reg.documents.enums import InitialCapitalDepositTypeEnum\\nfrom services.llc_reg.llc_reg_manager import LlcRegBatchManager\\n\\n\\ndef _init_doc_requisities(config):\\n from services.llc_reg.documents.initial_db_data import load_data\\n from services.llc_reg.documents.third_stage_llc_reg_initial_db_data import load_data as third_stage_load_data\\n data = load_data(config)\\n data.update(third_stage_load_data(config))\\n\\n templates = (\\n \\\"P11001_TEMPLATE\\\",\\n \\\"ARTICLES_TEMPLATE\\\",\\n \\\"ACT_TEMPLATE\\\",\\n \\\"USN_TEMPLATE\\\",\\n \\\"ESHN_TEMPLATE\\\",\\n \\\"DECISION_TEMPLATE\\\",\\n \\\"CONTRACT_TEMPLATE\\\",\\n \\\"DOVERENNOST_TEMPLATE\\\",\\n \\\"DOVERENNOST_OBTAIN_TEMPLATE\\\",\\n \\\"PROTOCOL_TEMPLATE\\\",\\n \\\"SOGLASIE_SOBSTVENNIKOV_TEMPLATE\\\",\\n \\\"GARANT_LETTER_ARENDA_TEMPLATE\\\",\\n \\\"GARANT_LETTER_SUBARENDA_TEMPLATE\\\",\\n \\\"GENERAL_MANAGER_CONTRACT_TEMPLATE\\\",\\n \\\"GENERAL_MANAGER_ORDER_TEMPLATE\\\",\\n \\\"ACCOUNTANT_CONTRACT_TEMPLATE\\\",\\n \\\"ACCOUNTANT_IMPOSITION_ORDER_TEMPLATE\\\",\\n \\\"ACCOUNTANT_ORDER_TEMPLATE\\\",\\n \\\"ROSSTAT_CLAIM_TEMPLATE\\\",\\n \\\"FSS_CLAIM_TEMPLATE\\\",\\n \\\"PFR_CLAIM_TEMPLATE\\\",\\n \\\"FOUNDERS_LIST_TEMPLATE\\\",\\n \\\"COMPANY_DETAILS_TEMPLATE\\\"\\n )\\n\\n for template_name in templates:\\n DocRequisitiesStorage.add_template(data[template_name]['doc_name'], data[template_name])\\n\\n schemas = (\\n \\\"P11001_SCHEMA\\\",\\n \\\"ARTICLES_SCHEMA\\\",\\n \\\"ACT_SCHEMA\\\",\\n \\\"USN_SCHEMA\\\",\\n \\\"ESHN_SCHEMA\\\",\\n \\\"DECISION_SCHEMA\\\",\\n \\\"PROTOCOL_SCHEMA\\\",\\n \\\"CONTRACT_SCHEMA\\\",\\n \\\"REG_FEE_INVOICE_SCHEMA\\\",\\n \\\"DOVERENNOST_SCHEMA\\\",\\n \\\"DOVERENNOST2_SCHEMA\\\",\\n \\\"SOGLASIE_SOBSTVENNIKOV_SCHEMA\\\",\\n \\\"GARANT_LETTER_ARENDA_SCHEMA\\\",\\n \\\"GARANT_LETTER_SUBARENDA_SCHEMA\\\",\\n \\\"LLC_REG_BATCH_SCHEMA\\\",\\n \\\"OOO_BANK_PARTNER_APPLICATION_SCHEMA\\\",\\n \\\"GENERAL_MANAGER_CONTRACT_SCHEMA\\\",\\n \\\"GENERAL_MANAGER_ORDER_SCHEMA\\\",\\n \\\"ACCOUNTANT_CONTRACT_SCHEMA\\\",\\n \\\"ACCOUNTANT_IMPOSITION_ORDER_SCHEMA\\\",\\n \\\"ACCOUNTANT_ORDER_SCHEMA\\\",\\n \\\"ROSSTAT_CLAIM_SCHEMA\\\",\\n \\\"FSS_CLAIM_SCHEMA\\\",\\n \\\"PFR_CLAIM_SCHEMA\\\",\\n \\\"FOUNDERS_LIST_SCHEMA\\\",\\n \\\"COMPANY_DETAILS_SCHEMA\\\"\\n )\\n\\n for schema_name in schemas:\\n DocRequisitiesStorage.add_schema(data[schema_name]['doc_name'], data[schema_name])\\n\\n matchers = (\\n \\\"P11001_MATCHER\\\",\\n \\\"USN_MATCHER\\\",\\n \\\"ESHN_MATCHER\\\",\\n \\\"ACCOUNTANT_ORDER_MATCHER\\\"\\n )\\n\\n for matcher_name in matchers:\\n DocRequisitiesStorage.add_field_matcher(data[matcher_name]['doc_name'], data[matcher_name])\\n\\n bd = dict(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n doc_types=[\\n DocumentTypeEnum.DT_P11001,\\n DocumentTypeEnum.DT_ARTICLES,\\n DocumentTypeEnum.DT_USN,\\n DocumentTypeEnum.DT_DECISION,\\n DocumentTypeEnum.DT_PROTOCOL,\\n DocumentTypeEnum.DT_ESHN,\\n DocumentTypeEnum.DT_CONTRACT,\\n DocumentTypeEnum.DT_REGISTRATION_FEE_INVOICE,\\n DocumentTypeEnum.DT_DOVERENNOST,\\n DocumentTypeEnum.DT_DOVERENNOST_OBTAIN,\\n DocumentTypeEnum.DT_SOGLASIE_SOBSTVENNIKOV,\\n DocumentTypeEnum.DT_GARANT_LETTER_ARENDA,\\n DocumentTypeEnum.DT_GARANT_LETTER_SUBARENDA,\\n DocumentTypeEnum.DT_GENERAL_MANAGER_CONTRACT,\\n DocumentTypeEnum.DT_GENERAL_MANAGER_ORDER,\\n DocumentTypeEnum.DT_ACCOUNTANT_CONTRACT,\\n DocumentTypeEnum.DT_ACCOUNTANT_IMPOSITION_ORDER,\\n DocumentTypeEnum.DT_ACCOUNTANT_ORDER,\\n DocumentTypeEnum.DT_ROSSTAT_CLAIM,\\n DocumentTypeEnum.DT_FSS_CLAIM,\\n DocumentTypeEnum.DT_PFR_CLAIM,\\n DocumentTypeEnum.DT_FOUNDERS_LIST,\\n DocumentTypeEnum.DT_COMPANY_DETAILS\\n ],\\n result_fields=data['LLC_REG_RESULT_FIELDS'],\\n deferred_render_docs=data['LLC_REG_DEFER_DOCS'],\\n fields=data['LLC_REG_BATCH_SCHEMA']['fields']\\n )\\n\\n DocRequisitiesStorage.add_batch_descriptor(DocumentBatchTypeEnum.DBT_NEW_LLC, bd)\\n\\n\\ndef register(app, jinja_env, class_loader, **kwargs):\\n search_path = os.path.normpath(os.path.join(os.path.abspath(os.path.dirname(__file__)), u\\\"templates\\\"))\\n jinja_env.loader.loaders.append(jinja2.FileSystemLoader(search_path))\\n\\n jinja_env.globals.update({\\n 'DocMultiDeclensionField': DocMultiDeclensionField,\\n 'InitialCapitalDepositTypeEnum': InitialCapitalDepositTypeEnum\\n })\\n\\n class_loader.POSSIBLE_LOCATIONS.append('services.llc_reg.documents')\\n class_loader.POSSIBLE_LOCATIONS.append('services.llc_reg.documents.enums')\\n class_loader.POSSIBLE_LOCATIONS.append('services.llc_reg.documents.general_doc_fields')\\n class_loader.POSSIBLE_LOCATIONS.append('services.llc_reg.documents.llc_gov_forms_adapters')\\n class_loader.POSSIBLE_LOCATIONS.append('services.llc_reg.documents.llc_validators')\\n\\n BatchManager.register_manager(DocumentBatchTypeEnum.DBT_NEW_LLC, LlcRegBatchManager)\\n\\n _init_doc_requisities(app.config)\\n\\ndef get_manager_command_locations():\\n return [os.path.normpath(os.path.abspath(os.path.join(os.path.dirname(__file__), 'manage_commands')))]\"\n },\n {\n \"alpha_fraction\": 0.482519268989563,\n \"alphanum_fraction\": 0.49357327818870544,\n \"avg_line_length\": 29.873016357421875,\n \"blob_id\": \"1ef3412dacca08e6cbcc3dc4deed9b52bac90233\",\n \"content_id\": \"c8d2f1e1e0b9546daf59780a19ac6267cd9b462a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3890,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 126,\n \"path\": \"/app/services/ifns/okvad_commands.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport shlex\\nimport subprocess\\nimport os\\nimport codecs\\nimport re\\nfrom fw.catalogs.models import GeoCities\\nfrom fw.catalogs.models import GeoRanges\\nfrom fw.db.sql_base import db as sqldb\\nfrom manage_commands import BaseManageCommand, get_single\\n\\n\\nclass UpdateGeoDbFromFileCommand(BaseManageCommand):\\n NAME = \\\"update_geo\\\"\\n\\n class FilenameSimpleValidator(object):\\n def validate(self, val):\\n if not os.path.exists(val):\\n return False\\n return True\\n\\n def get_value(self, value):\\n return value\\n\\n def run(self):\\n\\n file_name = get_single(u'File name: ', validator=UpdateGeoDbFromFileCommand.FilenameSimpleValidator(),\\n error_hint=u\\\"File not found\\\")\\n\\n tmp_dir = '/tmp/geo_files'\\n if not os.path.exists(tmp_dir):\\n os.makedirs(tmp_dir)\\n\\n subprocess.call(shlex.split('tar -xzvf %s -C %s' % (file_name, tmp_dir)))\\n\\n cities_file_name = os.path.join(tmp_dir, \\\"cities.txt\\\")\\n data_file_name = os.path.join(tmp_dir, \\\"cidr_optim.txt\\\")\\n\\n if not os.path.exists(cities_file_name) or not os.path.exists(data_file_name):\\n self.logger.error(\\\"missing required file(s)\\\")\\n return\\n\\n cities_file = codecs.open(cities_file_name, 'r', 'cp1251')\\n cities = cities_file.read()\\n cities_file.close()\\n\\n data_file = codecs.open(data_file_name, 'r', 'cp1251')\\n data = data_file.read()\\n data_file.close()\\n\\n os.unlink(cities_file_name)\\n os.unlink(data_file_name)\\n\\n self.logger.info('processing')\\n\\n cities_objects = []\\n\\n for line in cities.split('\\\\n'):\\n line = line.strip()\\n if not line:\\n continue\\n match = re.search(ur'(\\\\d+)\\\\t(.+)\\\\t(.+)\\\\t(.+)\\\\t(.+)\\\\t(.+)', line)\\n if not match:\\n self.logger.warn(u\\\"Failed to process: %s\\\" % line)\\n continue\\n\\n cid = int(match.groups(0)[0])\\n city_name = match.groups(0)[1]\\n region = match.groups(0)[2]\\n # district = match.groups(0)[3]\\n lat = match.groups(0)[4]\\n lng = match.groups(0)[5]\\n cities_objects.append({\\n 'cid': cid,\\n 'name': city_name,\\n 'region': region,\\n 'lat': lat,\\n 'lng': lng\\n })\\n\\n geo_ranges = []\\n for line in data.split('\\\\n'):\\n line = line.strip()\\n if not line:\\n continue\\n match = re.search(\\n ur'(\\\\d+)\\\\t(\\\\d+)\\\\t(\\\\d{1,3}\\\\.\\\\d{1,3}\\\\.\\\\d{1,3}\\\\.\\\\d{1,3} - \\\\d{1,3}\\\\.\\\\d{1,3}\\\\.\\\\d{1,3}\\\\.\\\\d{1,3})\\\\t(.+)\\\\t(.+)',\\n line)\\n if not match:\\n self.logger.warn(u\\\"Failed to process: %s\\\" % line)\\n continue\\n cid = match.groups(0)[4]\\n if not cid.isdigit():\\n continue\\n geo_ranges.append({\\n 'start': int(match.groups(0)[0]),\\n 'end': int(match.groups(0)[1]),\\n 'cid': int(cid)\\n })\\n\\n for g in GeoCities.query.filter():\\n g.delete()\\n sqldb.session.commit()\\n for g in GeoRanges.query.filter():\\n g.delete()\\n sqldb.session.commit()\\n\\n for city in cities_objects:\\n new_gc = GeoCities(\\n name=city['name'],\\n cid=city['cid'],\\n region=city['region'],\\n lat=city['lat'],\\n lng=city['lng']\\n )\\n sqldb.session.add(new_gc)\\n sqldb.session.commit()\\n\\n for geo in geo_ranges:\\n new_gr = GeoRanges(\\n cid=geo['cid'],\\n start=geo['start'],\\n end=geo['end']\\n )\\n sqldb.session.add(new_gr)\\n sqldb.session.commit()\\n\"\n },\n {\n \"alpha_fraction\": 0.6106171011924744,\n \"alphanum_fraction\": 0.6122338771820068,\n \"avg_line_length\": 29.170732498168945,\n \"blob_id\": \"493c8561ee81730134ecdc3beaac2d4fb0439f9a\",\n \"content_id\": \"50b6b50dc9f4829be7f2cb3323939c83bccd5e5b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3711,\n \"license_type\": \"no_license\",\n \"max_line_length\": 92,\n \"num_lines\": 123,\n \"path\": \"/app/services/llc_reg/documents/llc_reg_methods.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\nfrom decimal import Decimal\\nfrom flask import current_app\\nfrom common_utils import num_word\\nfrom fw.catalogs.models import BikCatalog\\nfrom services.ifns.data_model.enums import IfnsRegStatusEnum\\nfrom services.ifns.data_model.models import IfnsBookingObject\\nfrom services.llc_reg.documents.enums import FounderStrTypeEnum\\n\\n\\ndef get_company_registration_info(batch_id=None):\\n null_value = {\\n \\\"status\\\": IfnsRegStatusEnum.IRS_UNKNOWN\\n }\\n if not batch_id:\\n return null_value\\n booking = IfnsBookingObject.query.filter(\\n IfnsBookingObject.batch_id==batch_id,\\n # todo: add ifns service id, reg_date date range\\n IfnsBookingObject.reg_info.__ne__(None)\\n ).first()\\n if booking:\\n result = {\\n \\\"status\\\": booking.reg_info.get('status', 'unknown')\\n }\\n try:\\n reg_date = booking.reg_info.get('reg_date', None)\\n if isinstance(reg_date, basestring):\\n reg_date = datetime.strptime(reg_date, \\\"%d.%m.%Y\\\")\\n if reg_date:\\n result['reg_date'] = reg_date\\n except Exception:\\n current_app.logger.exception(u\\\"Failed to get date\\\")\\n\\n try:\\n ogrn = booking.reg_info.get('ogrn', None)\\n if ogrn is not None:\\n result['ogrn'] = ogrn\\n except Exception:\\n current_app.logger.exception(u\\\"Failed to get ogrn\\\")\\n\\n return result\\n\\n return null_value\\n\\n\\ndef get_bank_info(bank_bik=None):\\n if not bank_bik:\\n return {}\\n\\n bank_bik = unicode(bank_bik)\\n if not bank_bik.isdigit():\\n return {}\\n\\n info = BikCatalog.query.filter_by(bik=bank_bik).scalar()\\n return {\\n '_id': info.id,\\n 'name': info.name,\\n 'okpo': info.okpo,\\n 'bik': info.bik,\\n 'phone': info.phone,\\n 'address': info.address,\\n 'kor_account': info.kor_account\\n } if info else {}\\n\\n\\ndef num_to_text(value):\\n if not isinstance(value, int):\\n return\\n\\n return num_word(value)\\n\\ndef _get_person_full_name(person_id):\\n from fw.documents.db_fields import PrivatePersonDbObject\\n person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n if person:\\n full_name = u\\\"%s %s\\\" % (person.surname, person.name)\\n if person.patronymic:\\n full_name += u\\\" \\\" + person.patronymic\\n return full_name\\n\\ndef check_founder_has_same_fio(founders=None, founder=None):\\n if not founder or not founders:\\n return False\\n\\n if len(founders) < 2:\\n return False\\n\\n if founder.get('type', None) != FounderStrTypeEnum.FST_PERSON:\\n return False\\n\\n for founder_item in founders:\\n item = founder_item.get('founder', {})\\n if item.get('type', None) != FounderStrTypeEnum.FST_PERSON:\\n continue\\n\\n if founder['_id'] == item['_id']:\\n continue\\n founder_name = _get_person_full_name(founder['_id'])\\n item_name = _get_person_full_name(item['_id'])\\n if founder_name == item_name:\\n return True\\n\\n return False\\n\\n\\ndef is_starter_capital_dividable(founder_share=None, starter_capital=None, share_type=None):\\n if not founder_share or not starter_capital or share_type != \\\"fraction\\\":\\n return False\\n starter_capital_value = starter_capital\\n # noinspection PyTypeChecker\\n if '.' not in founder_share:\\n founder_share = founder_share + '.0'\\n flor = int(founder_share.split('.')[1])\\n if flor == 0:\\n return False\\n div_result = starter_capital_value / flor\\n div_str = str(div_result)\\n if '.' not in div_str:\\n return True\\n min, maj = div_str.split('.')\\n return len(maj) < 3\\n\"\n },\n {\n \"alpha_fraction\": 0.5516423583030701,\n \"alphanum_fraction\": 0.5712392926216125,\n \"avg_line_length\": 39.793739318847656,\n \"blob_id\": \"4668b20757e2db6d655245efdc419bd8b1359d80\",\n \"content_id\": \"a8bf45ab78f95ff87f757f9a17b0379f71c0b780\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 29719,\n \"license_type\": \"no_license\",\n \"max_line_length\": 169,\n \"num_lines\": 703,\n \"path\": \"/app/services/ifns/ifns_manager.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom copy import deepcopy\\nfrom datetime import datetime, timedelta\\nimport json\\nimport logging\\n\\nfrom lxml import etree\\nimport requests\\nimport html5lib\\nfrom lxml.cssselect import CSSSelector\\nfrom flask import current_app\\n\\nfrom common_utils import MONTHS, int_to_ifns\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.utils import address_utils\\nfrom fw.utils.address_utils import prepare_key\\nfrom fw.api import errors\\nfrom services.ifns.data_model.models import IfnsBookingObject, IfnsCatalogObject\\n\\n\\ndef discard_booking(batch, logger):\\n try:\\n batch_id = batch.id\\n for booking in IfnsBookingObject.query.filter_by(batch_id=batch_id, _discarded=False):\\n if not booking.reg_info or 'status' not in booking.reg_info or booking.reg_info['status'] == \\\"registered\\\":\\n continue\\n booking._discarded = True\\n ifns_reg_info = (batch.result_fields or {}).get('ifns_reg_info', None)\\n if ifns_reg_info:\\n res_fields = batch.result_fields\\n del res_fields['ifns_reg_info']\\n batch.result_fields = res_fields\\n sqldb.session.commit()\\n break\\n except Exception:\\n logger.exception(u\\\"Failed to discard ifns booking\\\")\\n\\n\\ndef get_ifns_data(ifns_code):\\n return IfnsCatalogObject.query.filter_by(code=int(ifns_code)).first()\\n\\n\\nclass IfnsDescription(object):\\n def __init__(self, json_data, root=True):\\n if root:\\n self.code = json_data[\\\"kod\\\"]\\n self.naimk = json_data[\\\"naimk\\\"]\\n self.plat = deepcopy(json_data[\\\"plat\\\"])\\n self.rof = IfnsDescription(json_data[\\\"rof\\\"], False)\\n self.rou = IfnsDescription(json_data[\\\"rou\\\"], False)\\n else:\\n self.code = json_data[\\\"code\\\"]\\n self.naimk = json_data[\\\"naimk\\\"]\\n\\n\\ndef get_ifns_by_address(address, service_nalog_ru_url):\\n if not address or not isinstance(address, basestring):\\n return\\n\\n address_full = current_app.external_tools.get_detailed_address(address)\\n if not address_full:\\n return\\n # noinspection PyUnresolvedReferences\\n suggestions = address_full.get(\\\"suggestions\\\", [])\\n if not suggestions:\\n return\\n\\n tax_office = unicode(suggestions[0]['data'][\\\"tax_office\\\"])\\n if not tax_office:\\n return\\n\\n return get_ifns_by_code(tax_office, service_nalog_ru_url)\\n\\n\\ndef get_ifns_by_code(tax_office, service_nalog_ru_url):\\n cache_key = address_utils.prepare_key('ifns_no_' + unicode(tax_office))\\n result_text = current_app.external_tools.cache.get(cache_key)\\n if not result_text:\\n url = u\\\"%s/addrno.do?l=6&g=%s\\\" % (service_nalog_ru_url, int_to_ifns(tax_office))\\n headers = {\\n u\\\"Referer\\\": u\\\"%s/addrno.do\\\" % service_nalog_ru_url,\\n u\\\"Accept\\\": \\\"application/json, text/javascript, */*; q=0.01\\\"\\n }\\n r = requests.get(url, headers=headers, timeout=20)\\n if r.status_code != 200:\\n return u\\\"\\\"\\n result_text = r.text\\n current_app.external_tools.cache.set(cache_key, result_text, 3600 * 24)\\n\\n try:\\n result = json.loads(result_text)\\n return IfnsDescription(result[\\\"res\\\"])\\n except Exception:\\n pass\\n\\n\\ndef get_nalog_ru_time_slots(person_data, company_data, internal_ifns_number, internal_ifns_service, logger):\\n s = requests.Session()\\n result = s.get(u'http://order.nalog.ru/details/', timeout=20)\\n if result.status_code != 200:\\n logger.error(u\\\"Невозможно начать сессию с сервером order.nalog.ru\\\")\\n raise errors.ServerUnavailable()\\n\\n if company_data:\\n data = {\\n \\\"ctl00$LastName\\\": company_data['name'],\\n \\\"ctl00$inn\\\": company_data['inn'],\\n \\\"ctl00$phone\\\": company_data['phone'],\\n \\\"ctl00$email\\\": company_data['email'],\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n \\\"ctl00$face\\\": u\\\"0\\\",\\n \\\"ctl00$btNext\\\": \\\"\\\"\\n }\\n # start session\\n result = s.post(u'http://order.nalog.ru/details/', data=data, timeout=20)\\n if result.status_code != 200 or not result.text:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n raise errors.ServerUnavailable()\\n elif person_data:\\n data = {\\n \\\"ctl00$LastName\\\": person_data['surname'],\\n \\\"ctl00$FirstName\\\": person_data['name'],\\n \\\"ctl00$SecondName\\\": person_data['patronymic'] or u\\\"\\\",\\n \\\"ctl00$inn\\\": person_data['inn'],\\n \\\"ctl00$phone\\\": person_data['phone'] or u\\\"\\\",\\n \\\"ctl00$email\\\": person_data['email'],\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n \\\"ctl00$face\\\": u\\\"1\\\",\\n \\\"ctl00$btNext\\\": \\\"\\\"\\n }\\n result = s.post(u'http://order.nalog.ru/details/', data=data, timeout=20)\\n if result.status_code != 200 or not result.text:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n raise errors.ServerUnavailable()\\n else:\\n logger.error(u\\\"Invalid parameters\\\")\\n raise errors.ServerError()\\n\\n fns, sub_service = internal_ifns_number, internal_ifns_service # get_ifns_internal_id_by_ifns_name(s, region_name, reg_ifns_name, not company_data, logger, service)\\n service = 0\\n is_multi_sub_service = 0\\n\\n cb_param = 'c0:%d;%d;%d;%d' % (\\n sub_service, is_multi_sub_service, (service if is_multi_sub_service else sub_service), fns)\\n data = {\\n \\\"__CALLBACKID\\\": u\\\"ctl00$cpday\\\",\\n \\\"__CALLBACKPARAM\\\": cb_param,\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__EVENTARGUMENT\\\": \\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }\\n\\n result = s.post(u'http://order.nalog.ru/fns_service/', data=data, timeout=20)\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n\\n str_data = result.text[26:-3].encode('utf-8').decode('string_escape').replace('!-\\\\\\\\-', '!--').replace('/-\\\\\\\\-',\\n '/--').replace(\\n '\\\\\\\\/script', '/script')\\n content = u\\\"<!DOCTYPE html><html><head><title></title></head><body>%s</body></html>\\\" % str_data.decode('utf-8')\\n root = html5lib.parse(content, treebuilder='lxml', namespaceHTMLElements=False)\\n\\n year = None\\n month = None\\n # noinspection PyCallingNonCallable\\n for item in CSSSelector('#ctl00_cpday_day_T')(root):\\n item_text_parts = item.text.split(' ')\\n if len(item_text_parts) < 2:\\n logger.error(u\\\"Ожидалась дата, получили %s\\\" % item.text)\\n raise errors.ServerUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n try:\\n month = MONTHS[item_text_parts[0].strip()]\\n year = int(item_text_parts[1].strip())\\n break\\n except Exception:\\n logger.error(u\\\"Не удалось распарсить дату: %s\\\" % item.text)\\n raise errors.ServerUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n\\n if not month or not year:\\n logger.error(u\\\"Дату так и не получили\\\")\\n raise Exception(u\\\"Invalid nalog.ru service return content\\\")\\n\\n day_prev = -1\\n days = []\\n first = True\\n #noinspection PyCallingNonCallable\\n for item in CSSSelector('#ctl00_cpday_day_mt td.dxeCalendarDay')(root):\\n #logger.info('month: %s, item:%s' % (str(month), stringify_children(item)))\\n classes = filter(lambda x: not not x, [i.strip() for i in item.attrib['class'].split(' ')])\\n #logger.info('classes:%s' % unicode(classes))\\n\\n try:\\n day = int(item.text)\\n if first and (23 <= day <= 31):\\n month -= 1 # (facepalm)\\n first = False\\n except Exception:\\n logger.error(u\\\"Invalid nalog.ru service response: %s\\\" % unicode(item.text))\\n raise errors.ServerUnavailable(u\\\"Invalid nalog.ru service response: %s\\\" % unicode(item.text))\\n if day_prev > day:\\n month += 1\\n #logger.info('increase month:%s'%str(month))\\n if month > 12:\\n year += 1\\n month = 1\\n day_prev = day\\n if 'dxeCalendarOutOfRange' in classes or 'dxeCalendarToday' in classes:\\n #logger.info('skip')\\n continue\\n d = datetime(year, month, day)\\n if d not in (datetime(2015, 5, 1), datetime(2015, 5, 2), datetime(2015, 5, 3), datetime(2015, 5, 4),\\n datetime(2015, 5, 9), datetime(2015, 5, 10), datetime(2015, 5, 11)):\\n days.append(d)\\n\\n if not days:\\n logger.error(u\\\"Invalid nalog.ru service response: no days returned\\\")\\n raise errors.ServerUnavailable(u\\\"Invalid nalog.ru service response: no days returned\\\")\\n\\n # ban check\\n d = days[0]\\n result = s.post('http://order.nalog.ru/fns_service/', data={\\n \\\"__CALLBACKID\\\": u\\\"ctl00$clBanCheck\\\",\\n \\\"__CALLBACKPARAM\\\": u\\\"c0:%s.%s.%s;%s;%s;0\\\" % (\\n unicode(d.year), unicode(d.month), unicode(d.day), unicode(180), unicode(fns)),\\n \\\"__EVENTARGUMENT\\\": u\\\"\\\",\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }, timeout=20)\\n\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n\\n if \\\"'data':'0'\\\" in result.text:\\n raise errors.MaximumRegistrationsExceeded()\\n\\n day_info = []\\n # get time slots\\n for d in days:\\n part = u\\\"%d.%d.%d;%d;%d;%d;%d\\\" % (\\n d.year, d.month, d.day, service if is_multi_sub_service else sub_service, fns, is_multi_sub_service,\\n sub_service)\\n part2 = u\\\"14|CUSTOMCALLBACK%d|\\\" % len(part) + part\\n cb_param = u\\\"c0:KV|2;[];GB|%d;\\\" % len(part2) + part2 + \\\";\\\"\\n\\n data = {\\n \\\"__CALLBACKID\\\": u\\\"ctl00$gvTime\\\",\\n \\\"__CALLBACKPARAM\\\": cb_param,\\n \\\"__EVENTARGUMENT\\\": u\\\"\\\",\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }\\n\\n result = s.post('http://order.nalog.ru/fns_service/', data=data, timeout=20)\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n\\n data_str = result.text[19:].encode('utf-8').decode('string_escape').replace('!-\\\\\\\\-', '!--').replace('/-\\\\\\\\-',\\n '/--').replace(\\n '\\\\\\\\/script', '/script')\\n content = u\\\"<!DOCTYPE html><html><head><title></title></head><body>%s</body></html>\\\" % data_str.decode('utf-8')\\n root = html5lib.parse(content, treebuilder='lxml', namespaceHTMLElements=False)\\n\\n time_slots = []\\n #noinspection PyCallingNonCallable\\n for item in CSSSelector('#ctl00_gvTime_DXMainTable tr')(root):\\n #noinspection PyCallingNonCallable\\n tds = CSSSelector('td')(item)\\n if len(tds) > 1:\\n time_str = tds[0].text\\n #noinspection PyCallingNonCallable\\n spans = CSSSelector('span')(tds[1])\\n if len(spans):\\n span_style = spans[0].attrib['style']\\n available = 'block' not in span_style\\n #print(time_str, available)\\n if available:\\n hour, minutes = time_str.strip().replace('00', '0').split(':')\\n dt = datetime(2014, 1, 1, int(hour), int(minutes))\\n\\n time_slots.append({\\n \\\"slot_start\\\": dt.strftime(\\\"%H:%M\\\"),\\n \\\"slot_end\\\": (dt + timedelta(seconds=1800)).strftime(\\\"%H:%M\\\"),\\n })\\n\\n if time_slots:\\n day_info.append({\\n 'date': d.strftime(\\\"%Y-%m-%d\\\"),\\n 'time_slots': time_slots\\n })\\n return day_info\\n\\n\\ndef book_ifns(person_data, company_data, internal_ifns_number, internal_ifns_service, dt, logger):\\n s = requests.Session()\\n result = s.get(u'http://order.nalog.ru/details/')\\n if result.status_code != 200:\\n logger.error(u\\\"Невозможно начать сессию с сервером order.nalog.ru\\\")\\n raise errors.ServerUnavailable()\\n\\n test_str = u\\\"Укажите параметры для записи на посещение ИФНС России\\\"\\n ok = False\\n if company_data:\\n for x in range(4):\\n result = s.post(u'http://order.nalog.ru/details/', data={\\n \\\"ctl00$LastName\\\": company_data['name'],\\n \\\"ctl00$inn\\\": company_data['inn'],\\n \\\"ctl00$phone\\\": company_data['phone'],\\n \\\"ctl00$email\\\": company_data['email'],\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n \\\"ctl00$face\\\": u\\\"0\\\",\\n \\\"ctl00$btNext\\\": \\\"\\\"\\n }, timeout=20)\\n if result.status_code != 200:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n raise errors.ServerUnavailable()\\n content = result.content.decode('utf-8')\\n\\n if test_str in content:\\n ok = True\\n break\\n if not ok:\\n logger.error(u\\\"Не удалось начать работу с order.nalog.ru\\\")\\n raise errors.ServerUnavailable()\\n elif person_data:\\n for x in range(4):\\n result = s.post(u'http://order.nalog.ru/details/', data={\\n \\\"ctl00$LastName\\\": person_data['surname'],\\n \\\"ctl00$FirstName\\\": person_data['name'],\\n \\\"ctl00$SecondName\\\": person_data['patronymic'] or u\\\"\\\",\\n \\\"ctl00$inn\\\": person_data['inn'],\\n \\\"ctl00$phone\\\": person_data['phone'],\\n \\\"ctl00$email\\\": person_data['email'],\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n \\\"ctl00$face\\\": u\\\"1\\\",\\n \\\"ctl00$btNext\\\": \\\"\\\"\\n }, timeout=20)\\n if result.status_code != 200:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n raise errors.ServerUnavailable()\\n content = result.content.decode('utf-8')\\n\\n if test_str in content:\\n ok = True\\n break\\n if not ok:\\n logger.error(u\\\"Не удалось начать работу с order.nalog.ru\\\")\\n raise errors.ServerUnavailable()\\n\\n fns, sub_service = internal_ifns_number, internal_ifns_service # get_ifns_internal_id_by_ifns_name(s, region_name, reg_ifns_name, not company_data, logger)\\n\\n service = None\\n is_multi_sub_service = 0\\n\\n cb_param = 'c0:%d;%d;%d;%d' % (\\n sub_service, is_multi_sub_service, (service if is_multi_sub_service else sub_service), fns)\\n result = s.post(u'http://order.nalog.ru/fns_service/', data={\\n \\\"__CALLBACKID\\\": u\\\"ctl00$cpday\\\",\\n \\\"__CALLBACKPARAM\\\": cb_param,\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__EVENTARGUMENT\\\": \\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }, timeout=20)\\n if result.status_code != 200:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n raise errors.ServerUnavailable()\\n\\n str_data = result.text[26:-3].encode('utf-8').decode('string_escape').replace('!-\\\\\\\\-', '!--').replace('/-\\\\\\\\-',\\n '/--').replace(\\n '\\\\\\\\/script', '/script')\\n content = u\\\"<!DOCTYPE html><html><head><title></title></head><body>%s</body></html>\\\" % str_data.decode('utf-8')\\n root = html5lib.parse(content, treebuilder='lxml', namespaceHTMLElements=False)\\n\\n year = None\\n month = None\\n # noinspection PyCallingNonCallable\\n for item in CSSSelector('#ctl00_cpday_day_T')(root):\\n item_text_parts = item.text.split(' ')\\n if len(item_text_parts) < 2:\\n logger.error(u\\\"Ожидалась дата, получили %s\\\" % item.text)\\n raise errors.ServerUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n try:\\n month = MONTHS[item_text_parts[0].strip()]\\n year = int(item_text_parts[1].strip())\\n break\\n except Exception:\\n logger.error(u\\\"Не удалось распарсить дату: %s\\\" % item.text)\\n raise errors.ServerUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n\\n if not month or not year:\\n logger.error(u\\\"Дату так и не получили\\\")\\n raise Exception(u\\\"Invalid nalog.ru service return content\\\")\\n\\n day_prev = -1\\n days = []\\n first = True\\n #noinspection PyCallingNonCallable\\n for item in CSSSelector('#ctl00_cpday_day_mt td.dxeCalendarDay')(root):\\n classes = filter(lambda x: not not x, [i.strip() for i in item.attrib['class'].split(' ')])\\n\\n day = int(item.text)\\n if first and (23 <= day <= 31):\\n month -= 1\\n first = False\\n if day_prev > day:\\n month += 1\\n if month > 12:\\n year += 1\\n month = 1\\n day_prev = day\\n if 'dxeCalendarOutOfRange' in classes or 'dxeCalendarToday' in classes:\\n continue\\n d = datetime(year, month, day)\\n if d not in (\\n datetime(2015, 5, 1), datetime(2015, 5, 2), datetime(2015, 5, 3), datetime(2015, 5, 4), datetime(2015, 5, 9),\\n datetime(2015, 5, 10), datetime(2015, 5, 11)):\\n days.append(d)\\n\\n # ban check\\n d = days[0]\\n result = s.post('http://order.nalog.ru/fns_service/', data={\\n \\\"__CALLBACKID\\\": u\\\"ctl00$clBanCheck\\\",\\n \\\"__CALLBACKPARAM\\\": u\\\"c0:%s.%s.%s;%s;%s;0\\\" % (\\n unicode(d.year), unicode(d.month), unicode(d.day), unicode(180), unicode(fns)),\\n \\\"__EVENTARGUMENT\\\": u\\\"\\\",\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }, timeout=20)\\n\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n\\n if u\\\"'data':'0'\\\" in result.text:\\n raise errors.MaximumRegistrationsExceeded()\\n\\n # get time slots\\n part = u\\\"%d.%d.%d;%d;%d;%d;%d\\\" % (\\n dt.year, dt.month, dt.day, service if is_multi_sub_service else sub_service, fns, is_multi_sub_service,\\n sub_service)\\n part2 = u\\\"14|CUSTOMCALLBACK%d|\\\" % len(part) + part\\n cb_param = u\\\"c0:KV|2;[];GB|%d;\\\" % len(part2) + part2 + \\\";\\\"\\n result = s.post('http://order.nalog.ru/fns_service/', data={\\n \\\"__CALLBACKID\\\": u\\\"ctl00$gvTime\\\",\\n \\\"__CALLBACKPARAM\\\": cb_param,\\n \\\"__EVENTARGUMENT\\\": u\\\"\\\",\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }, timeout=20)\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n\\n if u\\\"К сожалению, на указанную Вами услугу и дату полная запись. Предлагаем выбрать другую удобную для Вас дату.\\\" in result.text:\\n raise errors.DayBusyOrHolliday(dt)\\n text_parts = result.text.split('cpFS_ID\\\\':')\\n if len(text_parts) < 2:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result.text)\\n raise errors.ServerUnavailable()\\n\\n sub_service_fs_id = filter(lambda x: x.isdigit(), text_parts[1])\\n cb_param = u\\\"c0:\\\" + unicode(dt.year) + u\\\".\\\" + unicode(dt.month) + u\\\".\\\" + unicode(dt.day) + u\\\" \\\" + dt.strftime(\\n \\\"%H:%M:00\\\") + \\\\\\n \\\";\\\" + unicode(sub_service_fs_id) + u\\\";\\\" + unicode(fns) + u\\\";\\\" + unicode(sub_service) + \\\";\\\" + unicode(\\n is_multi_sub_service)\\n\\n result = s.post('http://order.nalog.ru/fns_service/', data={\\n \\\"__CALLBACKID\\\": u\\\"ctl00$clRegister\\\",\\n \\\"__CALLBACKPARAM\\\": cb_param,\\n \\\"__EVENTARGUMENT\\\": u\\\"\\\",\\n \\\"__EVENTTARGET\\\": u\\\"\\\",\\n \\\"__VIEWSTATE\\\": u\\\"\\\",\\n }, timeout=20)\\n\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n\\n if \\\"'DoubleTime'\\\" in result:\\n raise errors.DuplicateBookingAtTheSameTime()\\n\\n logger.error(result.text)\\n result = result.content.decode('utf-8')\\n\\n parts = result.split(\\\"'data':'\\\")\\n if len(parts) < 2:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result)\\n parts = parts[1].split(\\\"'\\\")\\n if len(parts) < 2:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result)\\n code = parts[0].strip()\\n logger.debug(u'booking url: http://order.nalog.ru/appointment/R%s/' % code)\\n\\n result = requests.get(u'http://order.nalog.ru/appointment/R%s/' % code, timeout=20)\\n if result.status_code != 200 or not result.content:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n raise errors.ServerUnavailable()\\n root = html5lib.parse(result.text, treebuilder='lxml', namespaceHTMLElements=False)\\n\\n #noinspection PyCallingNonCallable\\n if not len(CSSSelector(\\\"#ctl00_pnlDetails\\\")(root)):\\n logger.error(result.text)\\n raise errors.DuplicateBookingAtTheSameTime()\\n\\n if len(CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)) < 18:\\n logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result.text)\\n raise errors.ServerUnavailable()\\n #noinspection PyCallingNonCallable\\n ifns = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[3].text\\n #noinspection PyCallingNonCallable\\n address = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[5].text\\n #noinspection PyCallingNonCallable\\n map = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[7].text\\n #noinspection PyCallingNonCallable\\n phone = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[9].text\\n #noinspection PyCallingNonCallable\\n service = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[11].text\\n #noinspection PyCallingNonCallable\\n data_str = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[13].text\\n #noinspection PyCallingNonCallable\\n time_str = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[15].text\\n #noinspection PyCallingNonCallable\\n window = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[17].text\\n\\n try:\\n dt = datetime.strptime(data_str + 'T' + time_str, \\\"%d.%m.%YT%H:%M\\\")\\n except Exception:\\n raise errors.ServerError(u\\\"Invalid datetime format\\\")\\n\\n return {\\n \\\"ifns\\\": ifns,\\n \\\"service\\\": service,\\n \\\"date\\\": dt.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n \\\"window\\\": window,\\n \\\"address\\\": address,\\n \\\"phone\\\": phone,\\n \\\"how_to_get\\\": map,\\n \\\"code\\\": code\\n }\\n\\n\\ndef get_registration_ifns(service_nalog_ru_url, address_ifns=None):\\n if not address_ifns or not isinstance(address_ifns, basestring):\\n raise errors.IfnsNotFound()\\n\\n result_text = current_app.external_tools.cache.get(prepare_key(address_ifns))\\n if not result_text:\\n result = requests.get('%s/addrno.do?l=6&g=%s' % (service_nalog_ru_url, address_ifns), headers={\\n 'Referer': '%s/addrno.do' % service_nalog_ru_url\\n }, timeout=5)\\n if not result or result.status_code != 200:\\n raise errors.IfnsNotFound()\\n result_text = result.text\\n current_app.external_tools.cache.set(prepare_key(address_ifns), result_text, 3600 * 24)\\n\\n try:\\n data = json.loads(result_text)\\n return data[\\\"res\\\"]\\n except Exception:\\n pass\\n raise errors.IfnsNotFound()\\n\\n\\ndef stringify_children(node):\\n s = node.text\\n if s is None:\\n s = ''\\n for child in node:\\n s += etree.tostring(child, encoding='unicode')\\n return s\\n\\n\\ndef get_ifns_registrations(name, company_type=u'ooo', date_from=None, date_to=None,\\n service=None, ifns=None, service_nalog_ru_url=None, logger=None):\\n from services.llc_reg.documents.enums import IfnsServiceEnum\\n service = service or IfnsServiceEnum.IS_REG_COMPANY\\n\\n logger = logger or logging.getLogger()\\n if service == IfnsServiceEnum.IS_REG_COMPANY:\\n service_str = u\\\"Р11001\\\"\\n elif service == IfnsServiceEnum.IS_REG_IP:\\n service_str = u\\\"P21001\\\"\\n else:\\n return\\n\\n try:\\n s = requests.Session()\\n s.get('%s/uwsfind.do' % service_nalog_ru_url, timeout=20)\\n reg_ifns = ifns\\n req_data = {\\n \\\"dtfrom\\\": date_from.strftime(\\\"%d.%m.%Y\\\") if date_from else u\\\"\\\", # 06.06.2014\\n \\\"dtto\\\": date_to.strftime(\\\"%d.%m.%Y\\\") if date_to else u\\\"\\\", # 27.10.2014\\n \\\"frm\\\": service_str, #\\n \\\"frmip\\\": u\\\"\\\",\\n \\\"ifns\\\": reg_ifns, # 78086\\n \\\"name\\\": name,\\n \\\"nptype\\\": u\\\"ul\\\",\\n \\\"ogrn\\\": u\\\"\\\",\\n \\\"ogrnip\\\": u\\\"\\\"\\n }\\n result = s.post('%s/uwsfind.do' % service_nalog_ru_url, data=req_data, timeout=20)\\n if not result or result.status_code != 200:\\n raise Exception(u\\\"Unexpected result\\\")\\n data = result.text\\n except Exception, ex:\\n logger.exception(u\\\"Failed to get reservations\\\")\\n return\\n\\n root = html5lib.parse(data, treebuilder='lxml', namespaceHTMLElements=False)\\n\\n found_registries = CSSSelector(\\\"#uwsfound span\\\")(root)\\n if not len(found_registries):\\n return\\n try:\\n results_count = int(found_registries[0].text.strip())\\n if not results_count:\\n raise Exception(u\\\"Not found\\\")\\n except Exception, ex:\\n return\\n\\n table = CSSSelector(\\\"#uwsdata tbody tr\\\")(root)\\n if not table or not len(table):\\n return\\n\\n result_items = []\\n upper_name = name.upper()\\n while ' ' in upper_name:\\n upper_name = upper_name.replace(' ', ' ')\\n for item in table:\\n result_item = {}\\n reshenie = False\\n for td in CSSSelector(\\\"td\\\")(item):\\n td_str = stringify_children(td)\\n if not td_str:\\n continue\\n\\n td_str = td_str.strip()\\n td_str = td_str.replace('<br>', '<br/>')\\n for part in td_str.split('<br/>'):\\n part = part.strip()\\n if u\\\"Наименование:\\\" in part:\\n result_item['full_name'] = part.split('</strong>')[1].strip()\\n if u\\\"ОГРН:\\\" in part:\\n result_item['ogrn'] = part.split('</strong>')[1].strip()\\n if u\\\"ОГРНИП:\\\" in part:\\n result_item['ogrnip'] = part.split('</strong>')[1].strip()\\n if u\\\"ФИО::\\\" in part:\\n result_item['fio'] = part.split('</strong>')[1].strip()\\n\\n if u\\\"Вид решения:\\\" in part:\\n reshenie = True\\n res = part.split('</strong>')[1].strip()\\n if u'Решение о государственной регистрации' in res:\\n result_item['status'] = 'registered'\\n elif u'Решение об отказе в государственной регистрации' in res:\\n result_item['status'] = 'registration_declined'\\n else:\\n result_item['status'] = 'unknown'\\n\\n if u\\\"Дата готовности документов:\\\" in part:\\n res = part.split('</strong>')[1].strip()\\n result_item['reg_date'] = res\\n if 'reg_date' in result_item and not reshenie:\\n result_item['status'] = 'progress'\\n\\n if 'full_name' in result_item:\\n res_full_name = result_item['full_name'].upper()\\n if not res_full_name:\\n continue\\n while ' ' in res_full_name:\\n res_full_name = res_full_name.replace(' ', ' ')\\n if res_full_name == u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ \\\\\\\"%s\\\\\\\"\\\" % upper_name or \\\\\\n res_full_name == u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ %s\\\" % upper_name or \\\\\\n res_full_name == u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ «%s»\\\" % upper_name or \\\\\\n res_full_name == u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ ‹‹%s››\\\" % upper_name:\\n result_items.append(result_item)\\n elif 'fio' in result_item:\\n result_items.append(result_item)\\n return result_items\\n\\ndef if_gp_pay_working():\\n data = {\\n \\\"addrFl\\\": \\\"117105,77,,,,ВАРШАВСКОЕ Ш,17,,25\\\",\\n \\\"addrFl_ifns\\\": \\\"7726\\\",\\n \\\"addrFl_okatom\\\": \\\"45296561000\\\",\\n \\\"addrUl\\\": \\\"117105,77,,,,ВАРШАВСКОЕ Ш,17,,24\\\",\\n \\\"addrUl_ifns\\\": \\\"7726\\\",\\n \\\"addrUl_okatom\\\": \\\"45296561000\\\",\\n \\\"bank\\\": \\\"\\\",\\n \\\"c\\\": \\\"\\\",\\n \\\"fam\\\": \\\"Долгов\\\",\\n \\\"gp\\\": \\\"11|18210807010011000110|13|ul|4000\\\",\\n \\\"inn\\\": \\\"772900273375\\\",\\n \\\"nam\\\": \\\"Центр\\\",\\n \\\"otch\\\": \\\"Иванович\\\",\\n \\\"payKind\\\": \\\"on\\\",\\n \\\"region\\\": \\\"\\\",\\n \\\"sum\\\": \\\"4000\\\"\\n }\\n response = requests.post('https://service.nalog.ru/gp-pay.do', data, timeout=20)\\n return response.status_code == 200 and 'application/pdf' == response.headers['content-type']\\n\"\n },\n {\n \"alpha_fraction\": 0.6388489007949829,\n \"alphanum_fraction\": 0.6395683288574219,\n \"avg_line_length\": 34.18987274169922,\n \"blob_id\": \"f10e3f988f72906b1e8a18717c31c0a3571f872d\",\n \"content_id\": \"c4884551ee3bb0d919895ca3652c06abd5ee4b6a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2780,\n \"license_type\": \"no_license\",\n \"max_line_length\": 116,\n \"num_lines\": 79,\n \"path\": \"/app/fw/plugins/car_assurance_plugin/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom fw.documents.batch_manager import BatchManager\\nfrom services.car_assurance.async_tasks import get_policy_info_async\\n\\nPLUGIN_NAME = 'car_assurance'\\n\\n\\ndef get_actions():\\n actions = [{\\n 'name': 'get_policy_info_async',\\n 'async': True\\n # args: policy series, policy number\\n }, {\\n 'name': 'get_policy_info_first_try',\\n 'async': False\\n # args: policy series, policy number\\n }]\\n return actions\\n\\ndef get_events():\\n events = [{\\n 'name': 'on_policy_info_received'\\n }, {\\n 'name': 'on_policy_info_receive_fail'\\n }, {\\n 'name': 'on_policy_info_receive_timeout'\\n }]\\n return events\\n\\ndef _apply_dict_patch(original, patch):\\n for k, v in patch.items():\\n if isinstance(v, dict) and k in original and isinstance(original[k], dict):\\n original[k] = _apply_dict_patch(original[k], v)\\n else:\\n original[k] = v\\n return original\\n\\ndef _make_result_fields_patch(data, field_name_map):\\n patch = {}\\n return patch\\n\\ndef act(action, batch_db, event_data, plugin_config, logger, config):\\n assert batch_db\\n descriptors = filter(lambda x: x['name'] == action, get_actions())\\n action_descriptor = descriptors[0] if descriptors else None\\n if not action_descriptor:\\n raise ValueError(u'Invalid action: %s for %s plugin' % (action, PLUGIN_NAME))\\n\\n if action == 'get_policy_info_async':\\n policy_series_field_name = plugin_config['policy_series_field_name']\\n policy_number_field_name = plugin_config['policy_number_field_name']\\n\\n policy_series = batch_db.data.get(policy_series_field_name, None)\\n policy_number = batch_db.data.get(policy_number_field_name, None)\\n\\n if not policy_number or not policy_series:\\n return False\\n get_policy_info_async.delay(policy_series, policy_number, event_data, batch_db.id)\\n elif action == 'get_policy_info_first_try':\\n policy_series_field_name = plugin_config['policy_series_field_name']\\n policy_number_field_name = plugin_config['policy_number_field_name']\\n\\n policy_series = batch_db.data.get(policy_series_field_name, None)\\n policy_number = batch_db.data.get(policy_number_field_name, None)\\n\\n if not policy_number or not policy_series:\\n return False\\n try:\\n get_policy_info_async(policy_series, policy_number, event_data, batch_db.id, async=False, logger=logger)\\n except Exception:\\n BatchManager.handle_event(batch_db.id, \\\"on_policy_info_receive_fail\\\", event_data, logger, config=config)\\n return False\\n else:\\n raise Exception(u\\\"Invalid action %s for plugin %s\\\" % (action, PLUGIN_NAME))\\n\\n return True\\n\\ndef register(class_loader):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6084766983985901,\n \"alphanum_fraction\": 0.6093159914016724,\n \"avg_line_length\": 32.79432678222656,\n \"blob_id\": \"df9b6f937e9a1de25410570bd93e5377ac168619\",\n \"content_id\": \"a16b366163bed27a3604107e27d3644ffb7eb294\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4766,\n \"license_type\": \"no_license\",\n \"max_line_length\": 129,\n \"num_lines\": 141,\n \"path\": \"/app/fw/async_tasks/celery_utils.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport os\\n\\nfrom flask import Flask, current_app\\nfrom celery import current_app as celery_app\\nfrom fw.documents.contexts import ValidatorContext, RenderingContext, ModelCacheContext\\nfrom template_filters import load_filters, set_template_loader\\n\\n\\ndef init_flask_signals(_app):\\n from fw.db.sql_base import db as sqldb\\n\\n def finish_db_transaction(sender, **extra):\\n sqldb.session.commit()\\n\\n def rollback(sender, **extra):\\n sqldb.session.rollback()\\n\\n from flask import request_finished, got_request_exception\\n request_finished.connect(finish_db_transaction, _app)\\n got_request_exception.connect(rollback, _app)\\n\\n\\ndef init_sql_db(app):\\n from fw.db.sql_base import db\\n db.init_app(app)\\n\\n init_flask_signals(app)\\n\\nCELERY_FLASK_APP = None\\n\\ndef make_app(config, external_tools):\\n def _make_app():\\n global CELERY_FLASK_APP\\n\\n if CELERY_FLASK_APP:\\n return CELERY_FLASK_APP\\n\\n from app import init_blueprints, init_services\\n app = Flask(__name__)\\n if not isinstance(config, dict):\\n app.config.update(config.settings)\\n else:\\n app.config.update(config)\\n\\n app.validator_context = ValidatorContext()\\n app.rendering_context = RenderingContext()\\n app.model_cache_context = ModelCacheContext()\\n app.external_tools = external_tools\\n load_filters(app.jinja_env, app.config)\\n set_template_loader(app.jinja_env)\\n init_blueprints(app)\\n init_services(app)\\n if not app.config['TEST']:\\n init_sql_db(app)\\n app.cache = external_tools.cache\\n app.logger_name = \\\"celery\\\"\\n # log_file_path = os.path.join(os.path.split(app.config['log_file_path'])[0], \\\"celeryd.log\\\")\\n # file_handler = TimedRotatingFileHandler(log_file_path, backupCount=7, encoding='utf-8', when=\\\"midnight\\\")\\n # file_handler.setLevel()\\n # file_handler.setFormatter(logging.Formatter('%(asctime)s %(levelname)s: %(message)s [in %(pathname)s:%(lineno)d]'))\\n app.logger.setLevel(app.config['CELERY_LOG_LEVEL'])\\n\\n CELERY_FLASK_APP = app\\n return app\\n return _make_app\\n\\nclass TaskFileIdHolder(object):\\n def __init__(self, task_id, config):\\n self.task_id = task_id\\n self.config = config\\n self.file_name = os.path.join(os.path.dirname(self.config['celery_tasks_dir']), unicode(self.task_id))\\n\\n def __enter__(self):\\n if not os.path.exists(self.file_name):\\n try:\\n with open(self.file_name, 'w') as f:\\n f.write(str(self.task_id))\\n except Exception:\\n pass\\n return self\\n\\n def __exit__(self, exc_type, exc_val, exc_tb):\\n if os.path.exists(self.file_name):\\n try:\\n os.unlink(self.file_name)\\n except Exception:\\n pass\\n\\n def exists(self):\\n return os.path.exists(self.file_name)\\n\\ndef found_same_task(task_name, request = None, task_id = None, args = None, kwargs = None, inspect_tasks = None):\\n if inspect_tasks is not None and not inspect_tasks:\\n return False\\n\\n kwargs = kwargs or {}\\n args = request.args if request else args\\n kwargs = request.kwargs if request else kwargs\\n _id = request.id if request else task_id\\n\\n current_app.logger.info(u\\\"Searching for celery task %s\\\" % task_name)\\n inspector = celery_app.control.inspect()\\n tasks = []\\n\\n if inspect_tasks:\\n tasks = inspect_tasks\\n else:\\n actives = inspector.active()\\n for item in (actives.values() if actives else []):\\n tasks.extend(item)\\n schedules = inspector.scheduled()\\n for item in (schedules.values() if schedules else []):\\n tasks.extend(item)\\n\\n for task_info in tasks:\\n task_id = task_info.get('id', None)\\n if not task_id:\\n continue\\n if task_id == _id:\\n continue\\n\\n this_task_name = task_info.get('name', None)\\n if this_task_name != task_name:\\n current_app.logger.info(u\\\"task names differ - skip\\\")\\n continue\\n\\n if args is not None:\\n this_task_args = task_info.get('args', None) # todo: test empty args\\n current_app.logger.info(u\\\"Comparing args. Our args: <%s> Their args: <%s> \\\" % (unicode(args), this_task_args))\\n if unicode(args) != this_task_args:\\n continue\\n\\n if kwargs is not None:\\n this_task_kwargs = task_info.get('kwargs', {})\\n #current_app.logger.info(u\\\"Comparing kwargs. Our args: <%s> Their args: <%s> \\\" % (unicode(kwargs), this_task_kwargs))\\n if unicode(kwargs) != this_task_kwargs:\\n continue\\n return True\\n\\n return False\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7164948582649231,\n \"alphanum_fraction\": 0.7242268323898315,\n \"avg_line_length\": 28.923076629638672,\n \"blob_id\": \"c31a3e599c8e2c92f8dd8606cbe7b7015e02079f\",\n \"content_id\": \"58e68b6379d104e3f8b6b86cc916bac6057e3093\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 388,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 13,\n \"path\": \"/app/services/pay/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport os\\n\\nimport jinja2\\n\\nfrom services.pay.api import pay_bp\\n\\n\\ndef register(app, jinja_env, class_loader, url_prefix=None):\\n app.register_blueprint(pay_bp, url_prefix=url_prefix)\\n\\n search_path = os.path.normpath(os.path.join(os.path.abspath(os.path.dirname(__file__)), u\\\"templates\\\"))\\n jinja_env.loader.loaders.append(jinja2.FileSystemLoader(search_path))\"\n },\n {\n \"alpha_fraction\": 0.5074070692062378,\n \"alphanum_fraction\": 0.5179124474525452,\n \"avg_line_length\": 46.15981674194336,\n \"blob_id\": \"8e217dfd9397fd4573c0468fae3f4ad1455c7500\",\n \"content_id\": \"d79d87ae23907ad8f1fe84c06f650c1ef10450f7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 21176,\n \"license_type\": \"no_license\",\n \"max_line_length\": 162,\n \"num_lines\": 438,\n \"path\": \"/app/services/ifns/async_tasks/ifns_booking_tasks.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime, timedelta\\nimport logging\\n\\nfrom celery import current_task, current_app as celery\\n\\n\\ncelery.config_from_envvar('CELERY_CONFIG_MODULE')\\n\\n\\ndef _is_task_expired(dt):\\n return dt - datetime > timedelta(seconds=2 * 3600)\\n\\n\\ndef _get_ifns_logger():\\n logger = logging.getLogger(\\\"IFNS\\\")\\n logger.setLevel(logging.DEBUG)\\n\\n file_handler = logging.FileHandler('/var/log/jb/ifns.log') # todo: config\\n file_handler.setLevel(logging.DEBUG)\\n _formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')\\n file_handler.setFormatter(_formatter)\\n logger.addHandler(file_handler)\\n return logger\\n\\n\\n@celery.task()\\ndef book_ifns(task_id):\\n request = current_task.request\\n config = celery.conf.get('config')\\n db = celery.conf.get('db')\\n logger = _get_ifns_logger()\\n ifns_admin_email = config['ifns_admin_email']\\n\\n# task_data = IfnsBookingTaskDbObject.find_one(db, {'_id' : ObjectId(task_id)})\\n# if not task_data:\\n# logger.error(u\\\"Invalid task id: %s\\\" % task_id)\\n# return False\\n#\\n# person_data = task_data[\\\"person_data\\\"]\\n# company_data = task_data[\\\"company_data\\\"]\\n# reg_ifns_name = task_data[\\\"reg_ifns_name\\\"]\\n# service_id = task_data[\\\"service\\\"]\\n# region_name = task_data[\\\"region_name\\\"]\\n# dt = datetime.strptime(task_data[\\\"reg_date\\\"], \\\"%Y-%m-%dT%H:%M:%S\\\")\\n# batch_id = task_data[\\\"batch_id\\\"]\\n# user_email = task_data[\\\"user_email\\\"]\\n# status = task_data[\\\"status\\\"]\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_PROGRESS,\\n# 'task_id' : request.id\\n# })\\n#\\n# if status != IfnsBookingTaskStatus.BTS_NEW:\\n# logger.error(u\\\"Invalid task status: %s\\\" % status)\\n# return False\\n#\\n# with TaskFileIdHolder(request.id, config) as task_file:\\n# s = requests.Session()\\n# try:\\n# test_str = u\\\"Укажите параметры для записи на посещение ИФНС России\\\"\\n# ok = False\\n# if company_data:\\n# for x in range(4):\\n# result = s.post(u'http://order.nalog.ru/details/', data={\\n# \\\"ctl00$LastName\\\"\\t: company_data['name'],\\n# \\\"ctl00$inn\\\"\\t: company_data['inn'],\\n# \\\"ctl00$phone\\\"\\t: company_data['phone'],\\n# \\\"ctl00$email\\\"\\t: company_data['email'],\\n# \\\"__VIEWSTATE\\\" : u\\\"\\\",\\n# \\\"ctl00$face\\\"\\t: u\\\"0\\\",\\n# \\\"ctl00$btNext\\\" : \\\"\\\"\\n# }, timeout=20)\\n# if result.status_code != 200:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n# raise errors.IfnsServiceUnavailable()\\n# content = result.content.decode('utf-8')\\n#\\n# if test_str in content:\\n# ok = True\\n# break\\n# if not ok:\\n# logger.error(u\\\"Не удалось начать работу с order.nalog.ru\\\")\\n# raise errors.IfnsServiceUnavailable()\\n# elif person_data:\\n# for x in range(4):\\n# result = s.post(u'http://order.nalog.ru/details/', data={\\n# \\\"ctl00$LastName\\\"\\t: person_data['surname'],\\n# \\\"ctl00$FirstName\\\"\\t: person_data['name'],\\n# \\\"ctl00$SecondName\\\" : person_data['patronymic'] or u\\\"\\\",\\n# \\\"ctl00$inn\\\"\\t: person_data['inn'],\\n# \\\"ctl00$phone\\\"\\t: person_data['phone'],\\n# \\\"ctl00$email\\\"\\t: person_data['email'],\\n# \\\"__VIEWSTATE\\\" : u\\\"\\\",\\n# \\\"ctl00$face\\\"\\t: u\\\"1\\\",\\n# \\\"ctl00$btNext\\\" : \\\"\\\"\\n# }, timeout=20)\\n# if result.status_code != 200:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n# raise errors.IfnsServiceUnavailable()\\n# content = result.content.decode('utf-8')\\n#\\n# if test_str in content:\\n# ok = True\\n# break\\n# if not ok:\\n# logger.error(u\\\"Не удалось начать работу с order.nalog.ru\\\")\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# try:\\n# fns, sub_service = get_ifns_internal_id_by_ifns_name(s, region_name, reg_ifns_name, not company_data, logger)\\n# except Exception, ex:\\n# logger.exception(u\\\"Failed to get internal ids for ifns\\\")\\n# send_email.send_email(ifns_admin_email, 'failed_to_book_ifns')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_FAIL,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"get_ifns_internal_id_by_ifns_name\\\",\\n# \\\"exc\\\" : unicode(ex)\\n# }\\n# })\\n# return False\\n#\\n# service = None\\n# is_multi_sub_service = 0\\n#\\n# cb_param = 'c0:%d;%d;%d;%d' % (sub_service, is_multi_sub_service, (service if is_multi_sub_service else sub_service), fns)\\n# result = s.post(u'http://order.nalog.ru/fns_service/', data = {\\n# \\\"__CALLBACKID\\\":u\\\"ctl00$cpday\\\",\\n# \\\"__CALLBACKPARAM\\\":cb_param,\\n# \\\"__EVENTTARGET\\\":u\\\"\\\",\\n# \\\"__EVENTARGUMENT\\\":\\\"\\\",\\n# \\\"__VIEWSTATE\\\" : u\\\"\\\",\\n# }, timeout=20)\\n# if result.status_code != 200:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный код: %s\\\" % unicode(result.status_code))\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# str_data = result.text[26:-3].encode('utf-8').decode('string_escape').replace('!-\\\\\\\\-', '!--').replace('/-\\\\\\\\-', '/--').replace('\\\\\\\\/script', '/script')\\n# content = u\\\"<!DOCTYPE html><html><head><title></title></head><body>%s</body></html>\\\" % str_data.decode('utf-8')\\n# root = html5lib.parse(content, treebuilder='lxml', namespaceHTMLElements=False)\\n#\\n# year = None\\n# month = None\\n# #noinspection PyCallingNonCallable\\n# for item in CSSSelector('#ctl00_cpday_day_T')(root):\\n# item_text_parts = item.text.split(' ')\\n# if len(item_text_parts) < 2:\\n# logger.error(u\\\"Ожидалась дата, получили %s\\\" % item.text)\\n# raise errors.IfnsServiceUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n# try:\\n# month = MONTHS[item_text_parts[0].strip()]\\n# year = int(item_text_parts[1].strip())\\n# break\\n# except Exception:\\n# logger.error(u\\\"Не удалось распарсить дату: %s\\\" % item.text)\\n# raise errors.IfnsServiceUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n#\\n# if not month or not year:\\n# logger.error(u\\\"Дату так и не получили\\\")\\n# raise errors.IfnsServiceUnavailable(u\\\"Invalid nalog.ru service return content\\\")\\n#\\n# day_prev = -1\\n# days = []\\n# #noinspection PyCallingNonCallable\\n# for item in CSSSelector('#ctl00_cpday_day_mt td.dxeCalendarDay')(root):\\n# classes = filter(lambda x: not not x, [i.strip() for i in item.attrib['class'].split(' ')])\\n# if 'dxeCalendarOutOfRange' in classes or 'dxeCalendarToday' in classes:\\n# continue\\n#\\n# day = int(item.text)\\n# if day_prev > day:\\n# month += 1\\n# if month > 12:\\n# year += 1\\n# month = 1\\n# day_prev = day\\n# d = datetime(year, month, day)\\n# days.append(d)\\n#\\n# # ban check\\n# d = days[0]\\n# result= s.post('http://order.nalog.ru/fns_service/', data = {\\n# \\\"__CALLBACKID\\\" : u\\\"ctl00$clBanCheck\\\",\\n# \\\"__CALLBACKPARAM\\\" : u\\\"c0:%s.%s.%s;%s;%s;0\\\" % (unicode(d.year), unicode(d.month), unicode(d.day), unicode(180), unicode(fns)),\\n# \\\"__EVENTARGUMENT\\\" : u\\\"\\\",\\n# \\\"__EVENTTARGET\\\" : u\\\"\\\",\\n# \\\"__VIEWSTATE\\\" : u\\\"\\\",\\n# }, timeout=20)\\n#\\n# if result.status_code != 200 or not result.content:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# if u\\\"'data':'0'\\\" in result.text:\\n# send_email.send_email(user_email, 'ifns_maximum_registrations_exceeded')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_SUCCESS,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"MaximumRegistrationsExceeded\\\"\\n# }\\n# })\\n# return False\\n#\\n# # get time slots\\n# part = u\\\"%d.%d.%d;%d;%d;%d;%d\\\" % (dt.year, dt.month, dt.day, service if is_multi_sub_service else sub_service, fns, is_multi_sub_service,sub_service)\\n# part2 = u\\\"14|CUSTOMCALLBACK%d|\\\" % len(part) + part\\n# cb_param = u\\\"c0:KV|2;[];GB|%d;\\\" % len(part2) + part2 + \\\";\\\"\\n# result= s.post('http://order.nalog.ru/fns_service/', data = {\\n# \\\"__CALLBACKID\\\" : u\\\"ctl00$gvTime\\\",\\n# \\\"__CALLBACKPARAM\\\" : cb_param,\\n# \\\"__EVENTARGUMENT\\\" : u\\\"\\\",\\n# \\\"__EVENTTARGET\\\" : u\\\"\\\",\\n# \\\"__VIEWSTATE\\\" : u\\\"\\\",\\n# }, timeout=20)\\n# if result.status_code != 200 or not result.content:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# if u\\\"К сожалению, на указанную Вами услугу и дату полная запись. Предлагаем выбрать другую удобную для Вас дату.\\\" in result.text:\\n# send_email.send_email(user_email, 'ifns_no_free_slots')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_SUCCESS,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"no_free_slots\\\"\\n# }\\n# })\\n# return False\\n#\\n# text_parts = result.text.split('cpFS_ID\\\\':')\\n# if len(text_parts) < 2:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result.text)\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# sub_service_fs_id = filter(lambda x: x.isdigit(), text_parts[1])\\n# cb_param = u\\\"c0:\\\" + unicode(dt.year) + u\\\".\\\" + unicode(dt.month) + u\\\".\\\" + unicode(dt.day) + u\\\" \\\" + dt.strftime(\\\"%H:%M:00\\\") +\\\\\\n# \\\";\\\" + unicode(sub_service_fs_id) + u\\\";\\\" + unicode(fns) + u\\\";\\\" + unicode(sub_service) + \\\";\\\" + unicode(is_multi_sub_service)\\n#\\n# result= s.post('http://order.nalog.ru/fns_service/', data = {\\n# \\\"__CALLBACKID\\\" : u\\\"ctl00$clRegister\\\",\\n# \\\"__CALLBACKPARAM\\\" : cb_param,\\n# \\\"__EVENTARGUMENT\\\" : u\\\"\\\",\\n# \\\"__EVENTTARGET\\\" : u\\\"\\\",\\n# \\\"__VIEWSTATE\\\" : u\\\"\\\",\\n# }, timeout=20)\\n#\\n# if result.status_code != 200 or not result.content:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# if \\\"'DoubleTime'\\\" in result.content:\\n# send_email.send_email(user_email, 'ifns_duplicate_booking')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_SUCCESS,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"DuplicateBookingAtTheSameTime\\\"\\n# }\\n# })\\n# return False\\n#\\n# result = result.content.decode('utf-8')\\n#\\n# parts = result.split(\\\"'data':'\\\")\\n# if len(parts) < 2:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result)\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# parts = parts[1].split(\\\"'\\\")\\n# if len(parts) < 2:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result)\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# code = parts[0].strip()\\n# #logger.debug(u'booking url: http://order.nalog.ru/appointment/R%s/' % code)\\n#\\n# result = requests.get(u'http://order.nalog.ru/appointment/R%s/' % code, timeout=20)\\n# if result.status_code != 200 or not result.content:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# root = html5lib.parse(result.text, treebuilder='lxml', namespaceHTMLElements=False)\\n#\\n# #noinspection PyCallingNonCallable\\n# if not len(CSSSelector(\\\"#ctl00_pnlDetails\\\")(root)):\\n# send_email.send_email(user_email, 'ifns_duplicate_booking')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_SUCCESS,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"DuplicateBookingAtTheSameTime\\\"\\n# }\\n# })\\n# return False\\n#\\n# if len(CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)) < 18:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result.text)\\n# raise errors.IfnsServiceUnavailable()\\n# #noinspection PyCallingNonCallable\\n# ifns = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[3].text\\n# #noinspection PyCallingNonCallable\\n# address = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[5].text\\n# #noinspection PyCallingNonCallable\\n# map = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[7].text\\n# #noinspection PyCallingNonCallable\\n# phone = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[9].text\\n# #noinspection PyCallingNonCallable\\n# service = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[11].text\\n# #noinspection PyCallingNonCallable\\n# data_str = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[13].text\\n# #noinspection PyCallingNonCallable\\n# time_str = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[15].text\\n# #noinspection PyCallingNonCallable\\n# window = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[17].text\\n#\\n# try:\\n# dt = datetime.strptime(data_str + 'T' + time_str, \\\"%d.%m.%YT%H:%M\\\")\\n# except Exception:\\n# raise errors.IfnsServiceUnavailable(u\\\"Invalid datetime format\\\")\\n#\\n# send_email.send_email(user_email, 'ifns_booking_success')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_SUCCESS,\\n# })\\n#\\n# booking = IfnsBooking.parse_raw_value({\\n# 'ifns' : ifns,\\n# 'service' : service,\\n# 'service_id' : service_id,\\n# 'date' : dt.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n# 'window' : window,\\n# 'address' : address,\\n# 'phone' : phone,\\n# 'how_to_get' : map,\\n# 'code' : code,\\n# '_discarded' : False\\n# }, api_data = True)\\n# booking_db_obj = booking.get_db_object()\\n# booking_db_obj.update_attr('batch_id', batch_id)\\n# booking_db_obj.insert(db)\\n# return True\\n# except errors.IfnsServiceUnavailable, exc:\\n# if not _is_task_expired(dt):\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_NEW,\\n# 'task_id' : None\\n# })\\n# raise book_ifns.retry(countdown=3500 + randint(200), exc=exc)\\n# send_email.send_email(ifns_admin_email, 'failed_to_book_ifns')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_FAIL,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"task_expired\\\"\\n# }\\n# })\\n# return False\\n# except Exception, ex:\\n# send_email.send_email(ifns_admin_email, 'failed_to_book_ifns')\\n# _update_task(task_id, {\\n# 'status' : IfnsBookingTaskStatus.BTS_FAIL,\\n# 'error_info' : {\\n# \\\"tag\\\" : \\\"get_ifns_internal_id_by_ifns_name\\\",\\n# \\\"exc\\\" : unicode(ex)\\n# }\\n# })\\n# return False\\n#\\n#@celery.task()\\n#def find_appointment_data(apt_code, batch_id, reg_date_str, user_email, service_id):\\n# request = current_task.request\\n# config = celery.conf.get('config')\\n# ifns_admin_email = config['ifns_admin_email']\\n# db = celery.conf.get('db')\\n# logger = _get_ifns_logger()\\n# reg_date = datetime.strptime(reg_date_str, \\\"%Y-%m-%dT%H:%M:%S\\\")\\n# with TaskFileIdHolder(request.id, config) as task_file:\\n# try:\\n# result = requests.get(u'http://order.nalog.ru/appointment/R%s/' % apt_code, timeout=20)\\n# if result.status_code != 200 or not result.content:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ\\\")\\n# raise errors.IfnsServiceUnavailable()\\n#\\n# root = html5lib.parse(result.text, treebuilder='lxml', namespaceHTMLElements=False)\\n#\\n# #noinspection PyCallingNonCallable\\n# if not len(CSSSelector(\\\"#ctl00_pnlDetails\\\")(root)):\\n# send_email.send_email(user_email, 'ifns_duplicate_booking')\\n# return False\\n#\\n# if len(CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)) < 18:\\n# logger.error(u\\\"order.nalog.ru вернул неожиданный ответ: %s\\\" % result.text)\\n# raise errors.IfnsServiceUnavailable()\\n# #noinspection PyCallingNonCallable\\n# ifns = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[3].text\\n# #noinspection PyCallingNonCallable\\n# address = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[5].text\\n# #noinspection PyCallingNonCallable\\n# map = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[7].text\\n# #noinspection PyCallingNonCallable\\n# phone = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[9].text\\n# #noinspection PyCallingNonCallable\\n# service = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[11].text\\n# #noinspection PyCallingNonCallable\\n# data_str = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[13].text\\n# #noinspection PyCallingNonCallable\\n# time_str = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[15].text\\n# #noinspection PyCallingNonCallable\\n# window = CSSSelector(\\\"#ctl00_pnlDetails>table>tbody>tr>td\\\")(root)[17].text\\n#\\n# try:\\n# dt = datetime.strptime(data_str + 'T' + time_str, \\\"%d.%m.%YT%H:%M\\\")\\n# except Exception:\\n# raise errors.IfnsServiceUnavailable(u\\\"Invalid datetime format\\\")\\n#\\n# send_email.send_email(user_email, 'ifns_booking_success')\\n#\\n# booking = IfnsBooking.parse_raw_value({\\n# 'ifns' : ifns,\\n# 'service' : service,\\n# 'service_id' : service_id,\\n# 'date' : dt.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n# 'window' : window,\\n# 'address' : address,\\n# 'phone' : phone,\\n# 'how_to_get' : map,\\n# 'code' : apt_code,\\n# '_discarded' : False\\n# }, api_data = True)\\n# booking_db_obj = booking.get_db_object()\\n# booking_db_obj.update_attr('batch_id', batch_id)\\n# booking_db_obj.insert(db)\\n# return True\\n# except errors.IfnsServiceUnavailable, exc:\\n# if not _is_task_expired(reg_date):\\n# raise find_appointment_data.retry(countdown=3500 + randint(200), exc=exc)\\n# send_email.send_email(ifns_admin_email, 'failed_to_book_ifns')\\n# return False\\n# except Exception, ex:\\n# send_email.send_email(ifns_admin_email, 'failed_to_book_ifns')\\n# return False\\n\"\n },\n {\n \"alpha_fraction\": 0.5441421270370483,\n \"alphanum_fraction\": 0.5471034646034241,\n \"avg_line_length\": 39.022220611572266,\n \"blob_id\": \"bbcf559bf4bfd36efaed6e7aa47f9ae92af12bf8\",\n \"content_id\": \"05cbd2c18a7759e690c0392f67367e1080de5aa2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5403,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 135,\n \"path\": \"/app/fw/api/base_handlers.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom functools import wraps\\nimport traceback\\nfrom flask import json, current_app, abort, redirect, Response, request\\nfrom werkzeug.wrappers import Response as WResponse\\nfrom fw.api import errors\\n\\nRESTRICTED_LOG_URLS = (\\n '/account/create/', '/account/login/', '/account/password_change/', '/account/by/code/', '/account/login/external/',\\n '/account/login/external-url/')\\n\\n\\ndef log_request():\\n for url in RESTRICTED_LOG_URLS:\\n if url in request.url:\\n current_app.logger.debug(u'%s: %s {arguments hidden}' % (request.method, request.url))\\n return\\n try:\\n headers = {}\\n skip_headers = {'PRAGMA', 'CONNECTION', 'HOST', 'CACHE-CONTROL',\\n 'ACCEPT', 'ACCEPT-LANGUAGE', 'ACCEPT-ENCODING', 'REFERER'}\\n for k, v in request.headers.items():\\n if k.upper() in skip_headers:\\n continue\\n headers[k] = v\\n\\n args = unicode(request.args).strip()\\n if args == u\\\"ImmutableMultiDict([])\\\":\\n args = u\\\"\\\"\\n else:\\n args = args.replace(u\\\"ImmutableMultiDict\\\", u\\\"\\\")\\n\\n form = unicode(request.form).strip()\\n if form == u\\\"ImmutableMultiDict([])\\\":\\n form = u\\\"\\\"\\n else:\\n form = form.replace(u\\\"ImmutableMultiDict\\\", u\\\"\\\")\\n\\n current_app.logger.debug(u'%s: %s Arguments: %s Form data: %s\\\\n%s' % (\\n request.method, request.url, args, form, unicode(headers)))\\n except Exception:\\n current_app.logger.exception(u\\\"Failed to log request data\\\")\\n\\n\\ndef error_tree_to_list(error_tree, cur_name=u\\\"\\\", fields=None):\\n items = []\\n fields = fields if (fields is not None) else set()\\n for i in error_tree:\\n if cur_name:\\n name = cur_name + ((u\\\".\\\" + i['field']) if i['field'] else \\\"\\\")\\n else:\\n name = i['field']\\n\\n if 'inner_exception' in i:\\n items.extend(error_tree_to_list(i[\\\"inner_exception\\\"], name, fields))\\n else:\\n if name not in fields:\\n items.append({\\n 'field': name,\\n 'error_code': i['error_code']\\n })\\n fields.add(name)\\n return items\\n\\n\\ndef api_view(func):\\n @wraps(func)\\n def view_wrapper(*args, **kwargs):\\n try:\\n log_request()\\n result = func(*args, **kwargs)\\n except errors.ServerUnavailable, exc:\\n current_app.logger.critical(\\\"Server Unavaliable error\\\")\\n trbk = traceback.format_exc()\\n current_app.logger.exception(trbk)\\n return unicode(exc), 503\\n except errors.ApiBaseError, exc:\\n api_error_code = exc.get_error_code()\\n http_error_code = exc.get_http_error_code()\\n api_error_msg = exc.get_error_message()\\n exc_ext_data = getattr(exc, 'ext_data', None)\\n if exc_ext_data is not None:\\n data_json = json.dumps({\\n \\\"error\\\": {\\n \\\"code\\\": api_error_code,\\n \\\"message\\\": api_error_msg\\n },\\n \\\"error_ext\\\": error_tree_to_list(exc_ext_data)\\n })\\n else:\\n data_json = json.dumps({\\\"error\\\": {\\\"code\\\": api_error_code, \\\"message\\\": api_error_msg}})\\n if current_app.config.get('debug'):\\n current_app.logger.debug(\\n \\\"API ERROR \\\" + str(exc.get_error_code()) + \\\": \\\" + exc.get_error_message().encode(\\n \\\"utf8\\\") + \\\": \\\" + data_json\\n )\\n else:\\n current_app.logger.exception(\\n \\\"API ERROR \\\" + str(exc.get_error_code()) + \\\": \\\" + exc.get_error_message().encode(\\n \\\"utf8\\\") + \\\": \\\" + data_json\\n )\\n result = Response(data_json, mimetype='application/json', status=http_error_code)\\n result.headers.add('Access-Control-Allow-Credentials', \\\"true\\\")\\n result.headers.add('Access-Control-Allow-Origin', \\\"http://%s\\\" % current_app.config['site_domain'])\\n return result\\n except errors.SocialServiceRedirect, exc:\\n resp = redirect(exc.url)\\n resp.headers.add('Access-Control-Allow-Credentials', \\\"true\\\")\\n resp.headers.add('Access-Control-Allow-Origin', \\\"http://%s\\\" % current_app.config['site_domain'])\\n return resp\\n except NotImplementedError:\\n abort(405)\\n return\\n except Exception, exc:\\n current_app.logger.exception(u\\\"Unhandled exception\\\")\\n abort(500)\\n return\\n\\n if isinstance(result, WResponse):\\n result.headers.add('Access-Control-Allow-Credentials', \\\"true\\\")\\n result.headers.add('Access-Control-Allow-Origin', \\\"http://%s\\\" % current_app.config['site_domain'])\\n return result\\n\\n try:\\n result_str = json.dumps(result, default=lambda x: unicode(x), indent=1)\\n except Exception, ex:\\n current_app.logger.exception(u\\\"Failed to jsonify result\\\")\\n abort(500)\\n return\\n response = Response(result_str, mimetype='application/json')\\n response.headers.add('Access-Control-Allow-Credentials', \\\"true\\\")\\n response.headers.add('Access-Control-Allow-Origin', \\\"http://%s\\\" % current_app.config['site_domain'])\\n return response\\n\\n return view_wrapper\\n\"\n },\n {\n \"alpha_fraction\": 0.5960221290588379,\n \"alphanum_fraction\": 0.6022099256515503,\n \"avg_line_length\": 37.025211334228516,\n \"blob_id\": \"b0663ccfef785e60c863fdd3a2b59b56891159b8\",\n \"content_id\": \"3c8d3427633cc42932ad6d5b18bfa1c04419274a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4562,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 119,\n \"path\": \"/app/fw/api/views/general.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom flask import current_app, json, abort, Response, request, Blueprint\\nfrom flask_login import current_user\\nfrom fw.api import geoip_utils, errors\\nfrom fw.api.args_validators import validate_arguments\\nfrom fw.api.args_validators import ArgumentValidator\\n\\nfrom fw.api.base_handlers import api_view\\nfrom fw.api.views import not_authorized\\nfrom fw.documents.address_enums import RFRegionsEnum\\n\\ngeneral_bp = Blueprint('general', __name__)\\n\\n\\ndef _set_cors_headers(response):\\n response.headers.add('Access-Control-Allow-Credentials', \\\"true\\\")\\n response.headers.add('Access-Control-Allow-Origin', \\\"http://%s\\\" % current_app.config['site_domain'])\\n\\n\\n@general_bp.route('/dadata.ru/api/v2/clean/<method>', methods=['POST'])\\ndef dadata_v2_clean(method):\\n if not current_user.is_authenticated:\\n return not_authorized(current_app.config['site_domain'])\\n if method not in ('address', 'birthdate', 'email', 'name', 'phone'):\\n abort(404)\\n xdata = request.form\\n if not xdata:\\n abort(400)\\n\\n data = {}\\n for item in xdata:\\n # noinspection PyBroadException\\n try:\\n item_data = json.loads(item)\\n if isinstance(item_data, dict):\\n data.update(item_data)\\n except Exception:\\n pass\\n\\n current_app.logger.debug(u\\\"clean query: %s\\\" % unicode(data))\\n resp_data = current_app.external_tools.dadata_clean(method, [data['query']])\\n current_app.logger.debug(u\\\"clean request finished\\\")\\n resp = Response(json.dumps(resp_data), mimetype='application/json') \\\\\\n if resp_data else Response(\\\"[]\\\", mimetype='application/json')\\n _set_cors_headers(resp)\\n return resp\\n\\n\\n@general_bp.route('/dadata.ru/api/v2/suggest/<method>', methods=['POST'])\\ndef dadata_v2_suggest(method):\\n if not current_user.is_authenticated:\\n return not_authorized(current_app.config['site_domain'])\\n if method not in ('fio', 'address', 'party'):\\n abort(404)\\n try:\\n data = request.form\\n if not data:\\n abort(400)\\n for item in data:\\n data = json.loads(item)\\n current_app.logger.debug(u\\\"suggest query: %s\\\" % json.dumps(data, ensure_ascii=False))\\n\\n result_data = current_app.external_tools.dadata_suggest(method, data)\\n if not result_data:\\n raise Exception(u\\\"Failed to get suggestions\\\")\\n\\n except Exception:\\n current_app.logger.exception(u\\\"Failed to send request\\\")\\n resp = Response(json.dumps({'suggestions': []}), status=200)\\n _set_cors_headers(resp)\\n return resp\\n\\n if result_data:\\n try:\\n data = result_data\\n str_result = json.dumps(result_data, ensure_ascii=False)[:200]\\n # noinspection PyStringFormat\\n current_app.logger.debug(u\\\"suggest result data: %s...\\\" % str_result)\\n suggestions = data['suggestions']\\n for sugg in suggestions:\\n item = sugg['data']\\n if 'house' in item and item['house'] and 'block_type' in item and item['block_type'] is None:\\n if len(item['house']) > 1 and item['house'][0].isdigit() and item['house'][-1].isalpha():\\n item['block_type'] = u'литер'\\n item['block'] = item['house'][-1]\\n item['house'] = item['house'][:-1]\\n if 'city' in item and item['city'] in [u\\\"Москва\\\", u\\\"Санкт-Петербург\\\",\\n u\\\"Севастополь\\\"] and 'city_type' in item and item[\\n 'city_type'] == u\\\"г\\\":\\n item['city'] = None\\n item['city_type'] = None\\n item['city_type_full'] = None\\n\\n resp = Response(json.dumps(data), mimetype='application/json')\\n _set_cors_headers(resp)\\n current_app.logger.debug(u\\\"suggest finished\\\")\\n return resp\\n except Exception:\\n pass\\n\\n resp = Response('[]', mimetype='application/json')\\n _set_cors_headers(resp)\\n return resp\\n\\n\\n@general_bp.route('/geoip/', methods=['GET'])\\n@api_view\\n@validate_arguments(ip=ArgumentValidator(required=False))\\ndef geo_ip(ip=None):\\n ip = ip or request.remote_addr\\n try:\\n result = geoip_utils.GeoIpLocator.get_location(ip)\\n if not result:\\n raise Exception()\\n except Exception:\\n current_app.logger.exception(u\\\"Failed to get location\\\")\\n return {'result': {'region': RFRegionsEnum.RFR_SPB}}\\n return {'result': result}\\n\"\n },\n {\n \"alpha_fraction\": 0.7076923251152039,\n \"alphanum_fraction\": 0.7086538672447205,\n \"avg_line_length\": 29.558822631835938,\n \"blob_id\": \"5e4ba5cec1267f817a4ec0a52b1e503d48a339d9\",\n \"content_id\": \"586f101d25b62131e1acceb1e702b578bb972627\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1040,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 34,\n \"path\": \"/app/services/car_assurance/db_models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom bson.objectid import ObjectId\\n\\nfrom sqlalchemy import Column, String, ForeignKey, Unicode\\nfrom sqlalchemy.orm import relationship\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\nclass CarAssurance(sqldb.Model):\\n __tablename__ = 'car_assurance'\\n\\n id = Column(String, primary_key=True, default=lambda: str(ObjectId()))\\n\\n full_name = Column(Unicode)\\n short_name = Column(Unicode)\\n\\n address = Column(Unicode, nullable=False)\\n\\n connection_name = Column(Unicode, nullable=False, default=u'')\\n\\n\\nclass CarAssuranceBranch(sqldb.Model):\\n __tablename__ = 'car_assurance_branch'\\n\\n id = Column(String, primary_key=True, default=lambda: str(ObjectId()))\\n\\n title = Column(Unicode, nullable=True, default=u'')\\n address = Column(Unicode, nullable=True, default=u'')\\n phone = Column(Unicode, nullable=True, default=u'')\\n region = Column(Unicode, nullable=False)\\n\\n car_assurance_id = Column(String, ForeignKey('car_assurance.id'), nullable=False)\\n car_assurance = relationship(\\\"CarAssurance\\\")\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6640106439590454,\n \"alphanum_fraction\": 0.6653386354446411,\n \"avg_line_length\": 46.0625,\n \"blob_id\": \"839b69d25c8fc41e7bf24da8cdaa7a2e76669575\",\n \"content_id\": \"0a41f1746301117aaca1ee6c0012585bfaf9f8ca\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 753,\n \"license_type\": \"no_license\",\n \"max_line_length\": 123,\n \"num_lines\": 16,\n \"path\": \"/app/deployment_migrations/migration_list/20150522_rename_batch_types.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom fw.documents.db_fields import DocumentBatchDbObject\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"rename batch types (new_llc -> llc, new_ip -> ie)\\\")\\n\\n DocumentBatchDbObject.get_collection(db).update({'batch_type': 'new_llc'}, {'$set': {'batch_type': 'llc'}}, multi=True)\\n DocumentBatchDbObject.get_collection(db).update({'batch_type': 'new_ip'}, {'$set': {'batch_type': 'ie'}}, multi=True)\\n\\n\\ndef rollback(config, logger):\\n logger.debug(u\\\"Rolling back migration\\\")\\n\\n DocumentBatchDbObject.get_collection(db).update({'batch_type': 'llc'}, {'$set': {'batch_type': 'new_llc'}}, multi=True)\\n DocumentBatchDbObject.get_collection(db).update({'batch_type': 'ie'}, {'$set': {'batch_type': 'new_ip'}}, multi=True)\\n\"\n },\n {\n \"alpha_fraction\": 0.3201219439506531,\n \"alphanum_fraction\": 0.48170730471611023,\n \"avg_line_length\": 31.850000381469727,\n \"blob_id\": \"93e9dfb1070737427681752634eef01976d2a41d\",\n \"content_id\": \"68d38acb4a3ff4d405edc5b881028dd93e1d85f9\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 656,\n \"license_type\": \"no_license\",\n \"max_line_length\": 97,\n \"num_lines\": 20,\n \"path\": \"/app/services/ip_reg/okvad_utils.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\ndef is_restricted_for_ip_okvad(okvad):\\n if not okvad or not isinstance(okvad, basestring):\\n return False\\n\\n exact_match = ('15.91', '15.96', '51.17.22', '51.34', '51.34.2', '52.25', '52.25.1', '29.60',\\n '24.61', '28.75.3', '24.61', '51.12.36', '51.55.33', '31.62.1', '74.20.53',\\n '74.60', '66.02', '51.56.4', '67.13.51')\\n if okvad in exact_match:\\n return True\\n\\n groups = ('35.30.', '75.', '24.4.', '62.', '65.')\\n for item in groups:\\n if okvad == item[:-1]:\\n return True\\n if okvad[:len(item)] == item:\\n return True\\n\\n return False\"\n },\n {\n \"alpha_fraction\": 0.6397188901901245,\n \"alphanum_fraction\": 0.6459450125694275,\n \"avg_line_length\": 53.95414352416992,\n \"blob_id\": \"1188cfcb316da894b79b091de639953ca2dfec05\",\n \"content_id\": \"3405a5f900eaf4c2a543f55da14fb924710cd5f6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 35337,\n \"license_type\": \"no_license\",\n \"max_line_length\": 254,\n \"num_lines\": 567,\n \"path\": \"/app/services/pay/api.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\n\\nimport hashlib\\nfrom dateutil.relativedelta import relativedelta\\nimport dateutil.parser\\nimport os\\nfrom decimal import Decimal\\nfrom flask import request, current_app, make_response, redirect, abort, Blueprint\\nimport pytz\\nfrom fw.auth.models import AuthUser\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.db_fields import DocumentBatchDbObject, BatchDocumentDbObject\\nfrom fw.documents.enums import UserDocumentStatus, DocumentBatchTypeEnum\\nfrom fw.metrics import appcraft, mixpanel_metrics\\nfrom fw.storage.file_storage import FileStorage\\nfrom services.pay.models import PaymentSubscriptionObject, YadRequestsObject, PayInfoObject, PaymentProvider, \\\\\\n PurchaseServiceType\\n\\npay_bp = Blueprint('pay', __name__)\\n\\n\\ndef _xml_resp(str_val):\\n response = make_response(str_val)\\n response.headers[\\\"Content-Type\\\"] = \\\"application/xml\\\"\\n return response\\n\\n\\ndef _notify_admin(action, message, recipient_list):\\n from fw.async_tasks import send_email\\n for rec in recipient_list:\\n send_email.send_email.delay(\\n rec,\\n 'yad_request_error',\\n action=action,\\n message=message\\n )\\n\\n\\ndef parse_iso_dt(str_val):\\n val = dateutil.parser.parse(str_val)\\n return val.astimezone(pytz.timezone('utc')).replace(tzinfo=None)\\n\\n\\n@pay_bp.route('/payment/paymentAviso/', methods=['POST'])\\ndef yad_payment_aviso():\\n dt_str = datetime.utcnow().strftime(\\\"%Y-%m-%dT%H:%M:%SZ\\\") # u\\\"2011-05-04T20:38:01.000+04:00\\\"\\n\\n logger = current_app.logger\\n\\n request_datetime = request.form.get('requestDatetime', \\\"\\\")\\n md5 = request.form.get('md5', \\\"\\\")\\n shop_id = request.form.get('shopId', \\\"\\\")\\n shop_article_id = request.form.get('shopArticleId', \\\"\\\")\\n invoice_id = request.form.get('invoiceId', \\\"\\\")\\n orderId = request.form.get('orderId', \\\"\\\")\\n customer_number = request.form.get('customerNumber', \\\"\\\")\\n order_created_datetime = request.form.get('orderCreatedDatetime', \\\"\\\")\\n order_sum_amount = request.form.get('orderSumAmount', \\\"\\\")\\n order_sum_currency_paycash = request.form.get('orderSumCurrencyPaycash', \\\"\\\")\\n order_sum_bank_paycash = request.form.get('orderSumBankPaycash', \\\"\\\")\\n shop_sum_amount = request.form.get('shopSumAmount', \\\"\\\")\\n shop_sum_currency_paycash = request.form.get('shopSumCurrencyPaycash', \\\"\\\")\\n shop_sum_bank_paycash = request.form.get('shopSumBankPaycash', \\\"\\\")\\n payment_payer_code = request.form.get('paymentPayerCode', \\\"\\\")\\n payment_type = request.form.get('paymentType', \\\"\\\")\\n action = request.form.get('action', \\\"\\\")\\n payment_datetime = request.form.get('paymentDatetime', \\\"\\\")\\n cps_user_country_code = request.form.get('cps_user_country_code', \\\"\\\")\\n\\n invalid_request_error = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n<paymentAvisoResponse performedDatetime=\\\"%s\\\" code=\\\"200\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\" message=\\\"msg\\\"/>\\\"\\\"\\\" % (\\n dt_str, invoice_id, shop_id)\\n\\n authorization_error = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n<paymentAvisoResponse performedDatetime=\\\"%s\\\" code=\\\"1\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\" message=\\\"Invalid request: md5 sum does not match provided value\\\"/>\\\"\\\"\\\" % (\\n dt_str, invoice_id, shop_id)\\n\\n admins_emails = current_app.config['ADMIN_EMAIL_LIST']\\n if not md5 or not shop_id or not action or not order_sum_amount or not order_sum_currency_paycash \\\\\\n or not order_sum_bank_paycash or not invoice_id or not customer_number or not orderId:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"missing one of required arguments\\\", admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"missing one of required arguments\\\"))\\n\\n shop_password = current_app.config['YAD_ESHOP_PASSWORD']\\n yad_ip_list = current_app.config['YAD_IP_LIST']\\n\\n # MD5 calc\\n # action;orderSumAmount;orderSumCurrencyPaycash;orderSumBankPaycash;shopId;invoiceId;customerNumber;shopPassword\\n our_md5_string = \\\"%s;%s;%s;%s;%s;%s;%s;%s\\\" % (action, order_sum_amount, order_sum_currency_paycash,\\n order_sum_bank_paycash, shop_id, invoice_id, customer_number,\\n shop_password)\\n\\n m = hashlib.md5()\\n m.update(our_md5_string)\\n\\n ip = None\\n if 'X-Forwarded-For' in request.headers:\\n ip = request.headers['X-Forwarded-For']\\n if not ip and 'X-Real-Ip' in request.headers:\\n ip = request.headers['X-Real-Ip']\\n if not ip:\\n ip = request.remote_addr\\n\\n new_item = YadRequestsObject(\\n ip=ip,\\n created=datetime.utcnow(),\\n request_datetime=parse_iso_dt(request_datetime),\\n md5=md5,\\n shop_id=int(shop_id),\\n shop_article_id=int(shop_article_id) if shop_article_id else 0,\\n invoice_id=int(invoice_id),\\n order_number=orderId,\\n customer_number=customer_number,\\n order_created_datetime=parse_iso_dt(order_created_datetime),\\n order_sum_amount=Decimal(order_sum_amount),\\n order_sum_currency_paycash=order_sum_currency_paycash,\\n order_sum_bank_paycash=order_sum_bank_paycash,\\n shop_sum_amount=Decimal(shop_sum_amount),\\n shop_sum_currency_paycash=shop_sum_currency_paycash,\\n shop_sum_bank_paycash=shop_sum_bank_paycash,\\n payment_payer_code=payment_payer_code,\\n payment_type=payment_type,\\n action=action,\\n payment_datetime=parse_iso_dt(payment_datetime),\\n cps_user_country_code=cps_user_country_code\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n if action != u'paymentAviso':\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"invalid action id: %s\\\" % unicode(action), admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"invalid action id: %s\\\" % unicode(action)))\\n\\n if yad_ip_list:\\n if ip not in yad_ip_list:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"sender ip (%s) not in whitelist\\\" % ip, admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"sender ip not in whitelist\\\"))\\n else:\\n current_app.logger.warn(u\\\"Can't check IP address: YAD_IP_LIST config option is empty\\\")\\n\\n if m.hexdigest().upper() != md5:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"arguments md5 digests do not match\\\", admins_emails)\\n return _xml_resp(authorization_error)\\n\\n try:\\n auth_user_id = customer_number\\n batch_id = orderId if orderId not in ('subscription_3', 'subscription_1') else None\\n subs_type = orderId if orderId in ('subscription_3', 'subscription_1') else None\\n if not batch_id and not subs_type:\\n raise Exception(\\\"Invalid order number:%s\\\" % orderId)\\n except Exception:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"Invalid user id or batch id\\\", admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"Invalid user id or batch id\\\"))\\n\\n user = AuthUser.query.filter_by(uuid=auth_user_id).scalar()\\n if not user:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"User with id %s not found\\\" % unicode(auth_user_id), admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"User not found\\\"))\\n\\n success_result = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n <paymentAvisoResponse performedDatetime =\\\"%s\\\" code=\\\"0\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\"/>\\\"\\\"\\\" % (\\n dt_str, invoice_id, shop_id)\\n\\n pay_info = {\\n 'dt': datetime.now(),\\n 'shop_id': shop_id,\\n 'invoice_id': invoice_id,\\n 'order_sum_amount': order_sum_amount,\\n 'order_sum_currency_paycash': order_sum_currency_paycash,\\n 'order_sum_bank_paycash': order_sum_bank_paycash\\n }\\n\\n if shop_article_id is not None:\\n pay_info['shop_article_id'] = shop_article_id\\n if order_created_datetime:\\n pay_info['order_created_datetime'] = order_created_datetime\\n if shop_sum_amount:\\n pay_info['shop_sum_amount'] = shop_sum_amount\\n if shop_sum_currency_paycash:\\n pay_info['shop_sum_currency_paycash'] = shop_sum_currency_paycash\\n if shop_sum_bank_paycash:\\n pay_info['shop_sum_bank_paycash'] = shop_sum_bank_paycash\\n if payment_payer_code:\\n pay_info['payment_payer_code'] = payment_payer_code\\n if payment_type:\\n pay_info['payment_type'] = payment_type\\n if payment_datetime:\\n pay_info['payment_datetime'] = payment_datetime\\n if cps_user_country_code:\\n pay_info['cps_user_country_code'] = cps_user_country_code\\n if request_datetime:\\n pay_info['request_datetime'] = request_datetime\\n\\n if batch_id:\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id).scalar()\\n\\n if not batch:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"Batch with id %s not found\\\" % batch_id, admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"Batch not found\\\"))\\n\\n modify_result = DocumentBatchDbObject.query.filter_by(id=batch_id).update({\\n \\\"pay_info\\\": pay_info,\\n \\\"paid\\\": True\\n })\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n pay_info = PayInfoObject(\\n user=batch._owner,\\n batch=batch,\\n pay_record_id=new_item.id,\\n payment_provider=PaymentProvider.YAD,\\n service_type=PurchaseServiceType.LLC_PURCHASE\\n )\\n sqldb.session.add(pay_info)\\n sqldb.session.commit()\\n elif batch.batch_type == DocumentBatchTypeEnum.DBT_OSAGO:\\n count = PayInfoObject.query.filter_by(batch=batch).count()\\n osago_service_code = PurchaseServiceType.OSAGO_PART1 if count < 1 else PurchaseServiceType.OSAGO_PART2\\n pay_info = PayInfoObject(\\n user=batch._owner,\\n batch=batch,\\n pay_record_id=new_item.id,\\n payment_provider=PaymentProvider.YAD,\\n service_type=osago_service_code\\n )\\n sqldb.session.add(pay_info)\\n batch.paid = True\\n sqldb.session.commit()\\n event = {\\n PurchaseServiceType.OSAGO_PART1: 'rerender_pretension',\\n PurchaseServiceType.OSAGO_PART2: 'rerender_claim'\\n }.get(osago_service_code, None)\\n if event:\\n BatchManager.handle_event(batch_id, event, {'batch_id': batch_id}, current_app.logger, current_app.config)\\n\\n if modify_result is None:\\n logger.error(u\\\"Failed to set payment info to batch\\\")\\n _notify_admin(action, u\\\"Failed to set payment info to batch\\\", admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"Failed to process\\\"))\\n\\n try:\\n for doc in BatchDocumentDbObject.query.filter_by(batch=batch, status=UserDocumentStatus.DS_RENDERED):\\n if not doc.file:\\n continue\\n\\n file_obj = doc.file\\n if not file_obj:\\n logger.error(u\\\"Can't replace watermarked file: Failed to find file of batch %s\\\" % batch_id)\\n continue\\n\\n file_path = FileStorage.get_path(file_obj, current_app.config)\\n if not file_path or not os.path.exists(file_path) or not os.path.exists(file_path + '.src'):\\n logger.error(\\n u\\\"Can't replace watermarked file: Failed to find original or source file %s of batch %s\\\" % (\\n unicode(file_path + '.src'), batch_id))\\n continue\\n os.rename(file_path + '.src', file_path)\\n except Exception:\\n current_app.logger.exception(u\\\"FAILED TO REPLACE WATERMARKED DOCS\\\")\\n\\n if current_app.config.get('PROD', False):\\n appcraft.send_stat(batch.batch_type + '_payment_received', batch._owner, batch.id, batch.batch_type, int(invoice_id))\\n mixpanel_metrics.send_stat(batch.batch_type + '_payment_received', batch._owner, batch.id, batch.batch_type)\\n\\n try:\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n BatchManager.send_batch_docs_to_user(batch_id, current_app.config)\\n except Exception:\\n logger.exception(u\\\"Failed to send documents to user.\\\")\\n elif subs_type:\\n user_subs = PaymentSubscriptionObject.query.filter(\\n PaymentSubscriptionObject.user == user,\\n PaymentSubscriptionObject.end_dt.__ge__(datetime.utcnow())\\n )\\n\\n if not user_subs.count():\\n end_date = datetime.utcnow()\\n if subs_type == 'subscription_3':\\n end_date += relativedelta(months=3)\\n elif subs_type == 'subscription_1':\\n end_date += relativedelta(months=1)\\n\\n new_subs = PaymentSubscriptionObject(\\n pay_info=pay_info,\\n created=datetime.utcnow(),\\n end_dt=end_date,\\n user=user,\\n type=subs_type\\n )\\n sqldb.session.add(new_subs)\\n sqldb.session.commit()\\n\\n from fw.async_tasks import not_paid_check_send\\n\\n not_paid_check_send.make_all_user_fin_batch_paid_and_replace_watermarked_docs_with_normal.delay(\\n user_id=user.id)\\n\\n current_app.logger.info(u\\\"yad - success\\\")\\n return _xml_resp(success_result)\\n\\n\\n # request\\n\\n\\n# Параметр\\t Тип\\t Описание\\n# requestDatetime\\t xs:dateTime\\t Момент формирования запроса в ИС Оператора.\\n# md5\\t xs:normalizedString, ровно 32 шестнадцатеричных символа, в верхнем регистре\\t MD5-хэш параметров платежной формы, правила формирования описаны в разделе 4.4 «Правила обработки HTTP-уведомлений Контрагентом».\\n# shopId\\t xs:long\\t Идентификатор Контрагента, присваиваемый Оператором.\\n# shopArticleId\\t xs:long\\t Идентификатор товара, присваиваемый Оператором.\\n# invoiceId\\t xs:long\\t Уникальный номер транзакции в ИС Оператора.\\n# orderNumber\\t xs:normalizedString, до 64 символов\\t Номер заказа в ИС Контрагента. Передается, только если был указан в платежной форме.\\n# customerNumber\\t xs:normalizedString, до 64 символов\\t Идентификатор плательщика (присланный в платежной форме) на стороне Контрагента: номер договора, мобильного телефона и т.п.\\n# orderCreatedDatetime\\t xs:dateTime\\t Момент регистрации заказа в ИС Оператора.\\n# orderSumAmount\\t CurrencyAmount\\t Стоимость заказа. Может отличаться от суммы платежа, если пользователь платил в валюте, которая отличается от указанной в платежной форме. В этом случае Оператор берет на себя все конвертации.\\n# orderSumCurrencyPaycash\\t CurrencyCode\\t Код валюты для суммы заказа.\\n# orderSumBankPaycash\\t CurrencyBank\\t Код процессингового центра Оператора для суммы заказа.\\n# shopSumAmount\\t CurrencyAmount\\t Сумма к выплате Контрагенту на р/с (стоимость заказа минус комиссия Оператора).\\n# shopSumCurrencyPaycash\\t CurrencyCode\\t Код валюты для shopSumAmount.\\n# shopSumBankPaycash\\t CurrencyBank\\t Код процессингового центра Оператора для shopSumAmount.\\n# paymentPayerCode\\t YMAccount\\t Номер счета в ИС Оператора, с которого производится оплата.\\n# paymentType\\txs:normalizedString\\tСпособ оплаты заказа. Список значений приведен в таблице 6.6.1.\\n\\n# action\\t xs:normalizedString, до 16 символов\\t Тип запроса, значение: paymentAviso.\\n# paymentDatetime\\t xs:dateTime\\t Момент регистрации оплаты заказа в ИС Оператора.\\n# cps_user_country_code\\t xs:string, 2 символа\\t Двухбуквенный код страны плательщика в соответствии с ISO 3166-1 alpha-2.\\n\\n# Любые названия, отличные от перечисленных выше\\txs:string\\tПараметры, добавленные Контрагентом в платежную форму.\\n\\n# RESPONSE\\n\\n#Параметр\\t Тип\\t Описание\\n#performedDatetime\\t xs:dateTime\\t Момент обработки запроса по часам ИС Контрагента.\\n#code\\t xs:int\\t Код результата обработки. Список допустимых значений приведен в таблице ниже.\\n#shopId\\t xs:long\\t Идентификатор Контрагента. Должен дублировать поле shopId запроса.\\n#invoiceId\\t xs:long\\t Идентификатор транзакции в ИС Оператора. Должен дублировать поле invoiceId запроса.\\n#orderSumAmount\\t CurrencyAmount\\t Стоимость заказа в валюте, определенной параметром запроса orderSumCurrencyPaycash.\\n#message\\t xs:string, до 255 символов\\tТекстовое пояснение в случае отказа принять платеж.\\n#techMessage\\t xs:string, до 64 символов\\tДополнительное текстовое пояснение ответа Контрагента. Как правило, используется как дополнительная информация об ошибках. Необязательное поле.\\n\\n\\n# result codes\\n\\n# 0\\t Успешно\\tУспешно — даже если Оператор прислал данный запрос повторно.\\n# 1\\t Ошибка авторизации\\tЗначение параметра md5 не совпадает с результатом расчета хэш-функции. Оператор не будет повторять запрос и пометит заказ как «Уведомление Контрагенту не доставлено».\\n# 200\\t Ошибка разбора запроса\\tИС Контрагента не в состоянии разобрать запрос. Оператор не будет повторять запрос и пометит заказ как «Уведомление Контрагенту не доставлено».\\n\\n@pay_bp.route('/payment/checkOrder/', methods=['POST'])\\ndef yad_check_order():\\n dt_str = datetime.utcnow().strftime(\\\"%Y-%m-%dT%H:%M:%S.000+00:00\\\") # u\\\"2011-05-04T20:38:01.000+04:00\\\"\\n\\n request_datetime = request.form.get('requestDatetime', \\\"\\\")\\n action = request.form.get('action', \\\"\\\")\\n md5 = request.form.get('md5', \\\"\\\")\\n shop_id = request.form.get('shopId', \\\"\\\")\\n shop_article_id = request.form.get('shopArticleId', \\\"\\\")\\n invoice_id = request.form.get('invoiceId', \\\"\\\")\\n order_number = request.form.get('orderId', \\\"\\\")\\n customer_number = request.form.get('customerNumber', \\\"\\\")\\n order_created_datetime = request.form.get('orderCreatedDatetime', \\\"\\\")\\n order_sum_amount = request.form.get('orderSumAmount', \\\"\\\")\\n order_sum_currency_paycash = request.form.get('orderSumCurrencyPaycash', \\\"\\\")\\n order_sum_bank_paycash = request.form.get('orderSumBankPaycash', \\\"\\\")\\n shop_sum_amount = request.form.get('shopSumAmount', \\\"\\\")\\n shop_sum_currency_paycash = request.form.get('shopSumCurrencyPaycash', \\\"\\\")\\n shop_sum_bank_paycash = request.form.get('shopSumBankPaycash', \\\"\\\")\\n payment_payer_code = request.form.get('paymentPayerCode', \\\"\\\")\\n payment_type = request.form.get('paymentType', \\\"\\\")\\n\\n invalid_request_error = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n <checkOrderResponse performedDatetime=\\\"%s\\\" code=\\\"200\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\" message=\\\"msg\\\"/>\\\"\\\"\\\" % (\\n dt_str, invoice_id, shop_id)\\n\\n authorization_error = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n<checkOrderResponse performedDatetime=\\\"%s\\\" code=\\\"1\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\" message=\\\"Invalid request: md5 sum does not match provided value\\\"/>\\\"\\\"\\\" % (\\n dt_str, invoice_id, shop_id)\\n\\n admins_emails = current_app.config['ADMIN_EMAIL_LIST']\\n if not md5 or not shop_id or not action or not order_sum_amount or not order_sum_currency_paycash \\\\\\n or not order_sum_bank_paycash or not invoice_id or not customer_number or not order_number:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"missing one of required arguments\\\", admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"missing one of required arguments\\\"))\\n\\n shop_password = current_app.config['YAD_ESHOP_PASSWORD']\\n yad_ip_list = current_app.config['YAD_IP_LIST']\\n\\n # MD5 calc\\n # action;orderSumAmount;orderSumCurrencyPaycash;orderSumBankPaycash;shopId;invoiceId;customerNumber;shopPassword\\n our_md5_string = \\\"%s;%s;%s;%s;%s;%s;%s;%s\\\" % (action, order_sum_amount, order_sum_currency_paycash,\\n order_sum_bank_paycash, shop_id, invoice_id, customer_number,\\n shop_password)\\n\\n m = hashlib.md5()\\n m.update(our_md5_string)\\n\\n ip = None\\n if 'X-Forwarded-For' in request.headers:\\n ip = request.headers['X-Forwarded-For']\\n if not ip and 'X-Real-Ip' in request.headers:\\n ip = request.headers['X-Real-Ip']\\n if not ip:\\n ip = request.remote_addr\\n\\n new_item = YadRequestsObject(\\n ip=ip,\\n created=datetime.utcnow(),\\n request_datetime=parse_iso_dt(request_datetime),\\n md5=md5,\\n shop_id=int(shop_id),\\n shop_article_id=int(shop_article_id) if shop_article_id else 0,\\n invoice_id=int(invoice_id),\\n order_number=order_number,\\n customer_number=customer_number,\\n order_created_datetime=parse_iso_dt(order_created_datetime),\\n order_sum_amount=Decimal(order_sum_amount),\\n order_sum_currency_paycash=order_sum_currency_paycash,\\n order_sum_bank_paycash=order_sum_bank_paycash,\\n shop_sum_amount=Decimal(shop_sum_amount),\\n shop_sum_currency_paycash=shop_sum_currency_paycash,\\n shop_sum_bank_paycash=shop_sum_bank_paycash,\\n payment_payer_code=payment_payer_code,\\n payment_type=payment_type,\\n action=action\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n if action != u'checkOrder':\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"invalid action id: %s\\\" % unicode(action), admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"invalid action id: %s\\\" % unicode(action)))\\n\\n if yad_ip_list:\\n if ip not in yad_ip_list:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"sender ip (%s) not in whitelist\\\" % ip, admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"sender ip not in whitelist\\\"))\\n else:\\n current_app.logger.warn(u\\\"Can't check IP address: YAD_IP_LIST config option is empty\\\")\\n\\n if m.hexdigest().upper() != md5:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"arguments md5 digests do not match\\\", admins_emails)\\n return _xml_resp(authorization_error)\\n\\n try:\\n auth_user_id = customer_number\\n batch_id = order_number if order_number not in ('subscription_3', 'subscription_1') else None\\n subs_type = order_number if order_number in ('subscription_3', 'subscription_1') else None\\n if not batch_id and not subs_type:\\n raise Exception(\\\"Invalid order number:%s\\\" % order_number)\\n except Exception:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"Invalid user id or batch id\\\", admins_emails)\\n return _xml_resp(invalid_request_error.replace(u'msg', u\\\"Invalid user id or batch id\\\"))\\n\\n reject_error = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n<checkOrderResponse performedDatetime=\\\"%s\\\" code=\\\"100\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\" message=\\\"msg\\\"/>\\\"\\\"\\\" % (\\n dt_str, invoice_id, shop_id)\\n\\n user = AuthUser.query.filter_by(uuid=auth_user_id).scalar()\\n if not user:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"User with id %s not found\\\" % unicode(auth_user_id), admins_emails)\\n return _xml_resp(reject_error.replace(u'msg', u\\\"User not found\\\"))\\n\\n if batch_id:\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id).scalar()\\n\\n if not batch:\\n current_app.logger.warn(u\\\"Invalid request from yad: %s\\\" % unicode(request.form))\\n _notify_admin(action, u\\\"Batch with id %s not found\\\" % batch_id, admins_emails)\\n return _xml_resp(reject_error.replace(u'msg', u\\\"Batch not found\\\"))\\n\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n pay_info = PayInfoObject.query.filter_by(batch_id=batch_id).first()\\n if pay_info or batch.paid:\\n current_app.logger.warn(u\\\"Batch already paid!\\\")\\n _notify_admin(action, u\\\"Batch with id %s is already paid\\\" % batch_id, admins_emails)\\n return _xml_resp(reject_error.replace(u'msg', u\\\"Услуга уже оплачена\\\"))\\n elif batch.batch_type == DocumentBatchTypeEnum.DBT_OSAGO:\\n payments = PayInfoObject.query.filter_by(batch_id=batch_id).count()\\n if payments > 1:\\n current_app.logger.warn(u\\\"Batch already paid!\\\")\\n _notify_admin(action, u\\\"Batch with id %s is already paid\\\" % batch_id, admins_emails)\\n return _xml_resp(reject_error.replace(u'msg', u\\\"Услуга уже оплачена\\\"))\\n else:\\n current_app.logger.warn(u\\\"Invalid batch type: %s\\\" % batch.batch_type)\\n return _xml_resp(reject_error.replace(u'msg', u\\\"Данная услуга не продается\\\"))\\n\\n elif subs_type:\\n user_subs = PaymentSubscriptionObject.query.filter(\\n PaymentSubscriptionObject.user == user,\\n PaymentSubscriptionObject.end_dt.__ge__(datetime.utcnow())\\n )\\n\\n if user_subs.count() > 0:\\n current_app.logger.warn(u\\\"User has subscription already!\\\")\\n _notify_admin(action, u\\\"User with id %s already has subscription\\\" % unicode(auth_user_id), admins_emails)\\n return _xml_resp(reject_error.replace(u'msg', u\\\"Услуга уже оплачена\\\"))\\n\\n success_result = u\\\"\\\"\\\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n<checkOrderResponse performedDatetime =\\\"%s\\\" code=\\\"0\\\" invoiceId=\\\"%s\\\" shopId=\\\"%s\\\"/>\\\"\\\"\\\" % (dt_str, invoice_id, shop_id)\\n\\n current_app.logger.info(u\\\"yad - success. returning %s\\\" % success_result)\\n return _xml_resp(success_result)\\n\\n # request\\n\\n\\n# Параметр\\t Тип\\t Описание\\n# requestDatetime\\t xs:dateTime\\t Момент формирования запроса в ИС Оператора.\\n# action\\t xs:normalizedString, до 16 символов\\t Тип запроса. Значение: «checkOrder» (без кавычек).\\n# md5\\t xs:normalizedString, ровно 32 шестнадцатеричных символа, в верхнем регистре\\t MD5-хэш параметров платежной формы, правила формирования описаны в разделе 4.4 «Правила обработки HTTP-уведомлений Контрагентом».\\n# shopId\\t xs:long\\t Идентификатор Контрагента, присваиваемый Оператором.\\n# shopArticleId\\t xs:long\\t Идентификатор товара, присваиваемый Оператором.\\n# invoiceId\\t xs:long\\t Уникальный номер транзакции в ИС Оператора.\\n# orderNumber\\t xs:normalizedString, до 64 символов\\t Номер заказа в ИС Контрагента. Передается, только если был указан в платежной форме.\\n# customerNumber\\t xs:normalizedString, до 64 символов\\t Идентификатор плательщика (присланный в платежной форме) на стороне Контрагента: номер договора, мобильного телефона и т.п.\\n# orderCreatedDatetime\\t xs:dateTime\\t Момент регистрации заказа в ИС Оператора.\\n# orderSumAmount\\t CurrencyAmount\\t Стоимость заказа. Может отличаться от суммы платежа, если пользователь платил в валюте, которая отличается от указанной в платежной форме. В этом случае Оператор берет на себя все конвертации.\\n# orderSumCurrencyPaycash\\t CurrencyCode\\t Код валюты для суммы заказа.\\n# orderSumBankPaycash\\t CurrencyBank\\t Код процессингового центра Оператора для суммы заказа.\\n# shopSumAmount\\t CurrencyAmount\\t Сумма к выплате Контрагенту на р/с (стоимость заказа минус комиссия Оператора).\\n# shopSumCurrencyPaycash\\t CurrencyCode\\t Код валюты для shopSumAmount.\\n# shopSumBankPaycash\\t CurrencyBank\\t Код процессингового центра Оператора для shopSumAmount.\\n# paymentPayerCode\\t YMAccount\\t Номер счета в ИС Оператора, с которого производится оплата.\\n# paymentType\\txs:normalizedString\\tСпособ оплаты заказа. Список значений приведен в таблице 6.6.1.\\n# Любые названия, отличные от перечисленных выше\\txs:string\\tПараметры, добавленные Контрагентом в платежную форму.\\n\\n# response:\\n#Параметр\\t Тип\\t Описание\\n#performedDatetime\\t xs:dateTime\\t Момент обработки запроса по часам ИС Контрагента.\\n#code\\t xs:int\\t Код результата обработки. Список допустимых значений приведен в таблице ниже.\\n#shopId\\t xs:long\\t Идентификатор Контрагента. Должен дублировать поле shopId запроса.\\n#invoiceId\\t xs:long\\t Идентификатор транзакции в ИС Оператора. Должен дублировать поле invoiceId запроса.\\n#orderSumAmount\\t CurrencyAmount\\t Стоимость заказа в валюте, определенной параметром запроса orderSumCurrencyPaycash.\\n#message\\t xs:string, до 255 символов\\tТекстовое пояснение в случае отказа принять платеж.\\n#techMessage\\t xs:string, до 64 символов\\tДополнительное текстовое пояснение ответа Контрагента. Как правило, используется как дополнительная информация об ошибках. Необязательное поле.\\n\\n# result codes\\n# Код\\t Значение\\t Описание ситуации\\n# 0\\t Успешно\\t Контрагент дал согласие и готов принять перевод.\\n# 1\\t Ошибка авторизации\\t Несовпадение значения параметра md5 с результатом расчета хэш-функции. Оператор считает ошибку окончательной и не будет осуществлять перевод.\\n# 100\\t Отказ в приеме перевода\\t Отказ в приеме перевода с заданными параметрами. Оператор считает ошибку окончательной и не будет осуществлять перевод.\\n# 200\\t Ошибка разбора запроса\\t ИС Контрагента не в состоянии разобрать запрос. Оператор считает ошибку окончательной и не будет осуществлять перевод.\\n\\n\\n@pay_bp.route('/payment/redirect/', methods=['GET'])\\ndef yad_redirect():\\n has_error = request.args.get('payerr', \\\"false\\\") == \\\"true\\\"\\n success_url = request.args.get('shopSuccessURL', \\\"\\\")\\n fail_url = request.args.get('shopFailURL', \\\"\\\")\\n\\n if has_error and fail_url:\\n return redirect(fail_url)\\n if not has_error and success_url:\\n return redirect(success_url)\\n abort(400)\\n\"\n },\n {\n \"alpha_fraction\": 0.569513201713562,\n \"alphanum_fraction\": 0.5702780485153198,\n \"avg_line_length\": 36.54391860961914,\n \"blob_id\": \"78977f9f49df658182b092f267216691bc163727\",\n \"content_id\": \"cff37c69c110512284b329f2c2b16e85d871d54b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 22226,\n \"license_type\": \"no_license\",\n \"max_line_length\": 170,\n \"num_lines\": 592,\n \"path\": \"/app/fw/auth/user_manager.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime, timedelta\\nimport random\\nimport string\\nfrom bson import ObjectId\\n\\nfrom flask_login import login_user\\n\\nfrom fw.api import errors\\nfrom fw.auth.encrypt import encrypt_password, check_password\\nfrom fw.auth.models import AuthUser, UserActivationLink, ConfirmationLinkTypeEnum, AuthorizationUrl\\nfrom fw.auth.social_services import SocialServiceBackends\\nfrom fw.db.sql_base import db\\nfrom template_filters import utm_args\\n\\n\\nclass UserManager(object):\\n __config = None\\n __logger = None\\n\\n @classmethod\\n def _generate_link_code(cls, use_chars):\\n max_activation_link_length = cls.__config['max_activation_link_length']\\n digital_activation_link_length = cls.__config['digital_activation_link_length']\\n if use_chars:\\n return u''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(max_activation_link_length))\\n return u''.join(random.choice(string.digits) for _ in range(digital_activation_link_length))\\n\\n @classmethod\\n def init(cls, config, logger):\\n cls.__config = config\\n cls.__logger = logger\\n\\n assert cls.__config\\n assert cls.__logger\\n\\n @staticmethod\\n def create_temp_user(is_tester=False):\\n result = UserManager.create_user(\\\"\\\", \\\"\\\", \\\"\\\", \\\"\\\", \\\"\\\", \\\"\\\", \\\"\\\", \\\"\\\", is_tester=is_tester)\\n if result:\\n return result[0]\\n\\n @classmethod\\n def register_user(cls, social_service_access_token, mobile, email, name, surname, patronymic, password,\\n social_network, temp_user=None):\\n \\\"\\\"\\\"\\n @type social_service_access_token: string\\n @type email: string\\n @type name: string\\n @type surname: string\\n @type patronymic: string\\n @type password: string\\n @type social_network: string\\n \\\"\\\"\\\"\\n\\n user, is_new_account = UserManager.create_user(social_service_access_token, mobile, email,\\n name, surname, patronymic, password, social_network,\\n temp_user=temp_user\\n )\\n\\n if (mobile and not user.mobile_confirmed) or (email and not user.email_confirmed):\\n activate_by_mobile = not not mobile\\n\\n try:\\n if activate_by_mobile:\\n # UserManager.confirm_new_mobile(store, user, mobile, config)\\n pass\\n else:\\n UserManager.confirm_new_email(user, email)\\n except Exception, exc:\\n cls.__logger.exception(u'Failed to create user: %s' % str(exc))\\n raise errors.ServerUnavailable(exc.message)\\n return user\\n\\n @classmethod\\n def promote_temp_user(cls, current_user, social_service_access_token, mobile, email, name,\\n surname, patronymic, password, social_network):\\n\\n new_user = UserManager.register_user(social_service_access_token, mobile, email, name,\\n surname, patronymic, password, social_network, temp_user=current_user)\\n\\n return new_user\\n\\n @classmethod\\n def resend_activation_code(cls, email, mobile):\\n if email:\\n user = AuthUser.query.filter_by(email=email).first()\\n\\n if not user:\\n user_activation_link = UserActivationLink.query.filter_by(\\n new_email=email,\\n used_date=None,\\n link_type=ConfirmationLinkTypeEnum.CLT_EMAIL).first()\\n\\n if not user_activation_link:\\n raise errors.UserNotFound()\\n user = AuthUser.query.filter_by(id=user_activation_link.auth_user_id).first()\\n if not user:\\n raise errors.UserNotFound()\\n\\n db.session.delete(user_activation_link)\\n db.session.commit()\\n\\n UserManager.confirm_new_email(user, email, email_type='activate_account')\\n return\\n\\n user = AuthUser.query.filter_by(mobile=mobile).first()\\n\\n if not user:\\n user_activation_link = UserActivationLink.query.filter_by(\\n new_mobile=mobile,\\n used_date=None,\\n link_type=ConfirmationLinkTypeEnum.CLT_MOBILE).first()\\n\\n if not user_activation_link:\\n raise errors.UserNotFound()\\n user = AuthUser.query.filter_by(id=user_activation_link.auth_user_id).first()\\n if not user:\\n raise errors.UserNotFound()\\n\\n db.session.delete(user_activation_link)\\n db.session.commit()\\n\\n UserManager.confirm_new_mobile(user, mobile)\\n\\n\\n @classmethod\\n def create_user(cls, social_service_access_token, mobile, email,\\n name, surname, patronymic, password, social_network, email_is_social=False, temp_user=None,\\n is_tester=False):\\n\\n is_temp_user = not mobile and not email\\n email_confirmed = False\\n social_uid = None\\n social_email = ''\\n social_backend = None\\n token = None\\n if social_service_access_token and social_network:\\n token = social_service_access_token\\n social_backend = SocialServiceBackends.backends.get(social_network)\\n if social_backend:\\n social_data = social_backend.get_user_data(cls.__config, token)\\n social_uid = social_data.get('id', None)\\n if not social_data or not social_uid:\\n raise errors.SocialAuthError()\\n social_email = social_data.get('email', None)\\n if social_email:\\n social_email = social_email.lower()\\n social_service_user_link = social_backend.get_user_link(social_uid)\\n if social_service_user_link:\\n user_id = social_service_user_link.auth_user\\n user = AuthUser.query.filter_by(id=user_id)\\n return user, False\\n\\n email = email.lower() if email else u''\\n if email:\\n if email_is_social or (social_email and email == social_email):\\n email_confirmed = True\\n elif not email and not mobile and social_backend:\\n email = social_email\\n if email:\\n email_confirmed = True\\n\\n current_user = (AuthUser.query.filter_by(email=unicode(email)).first() if email else AuthUser.query.filter_by(mobile=unicode(mobile)).first() if mobile else None)\\n\\n if current_user:\\n if email:\\n if social_email and social_uid:\\n if current_user.email_confirmed:\\n social_backend.make_link(token, social_uid, current_user, cls.__config)\\n return current_user, False\\n else:\\n email = u''\\n email_confirmed = False\\n else:\\n raise errors.DuplicateEmail()\\n else:\\n raise errors.DuplicateMobile()\\n\\n # Creating new auth user record\\n user = temp_user or AuthUser(uuid=unicode(ObjectId()))\\n user.email_confirmed = email_confirmed\\n user.mobile_confirmed = False\\n user.is_tester = is_tester\\n if email_confirmed:\\n user.email = email\\n user.password = unicode(encrypt_password(password)) if password else None\\n user.signup_date = datetime.utcnow()\\n user.enabled = True\\n user.email = unicode(email) if email else None\\n user.mobile = unicode(mobile) if mobile else None\\n user.name = unicode(name)\\n user.surname = unicode(surname)\\n user.patronymic = unicode(patronymic)\\n user.temporal = is_temp_user\\n\\n try:\\n db.session.add(user)\\n except Exception, exc:\\n cls.__logger.error('Failed to add user to DB: %s' % str(exc))\\n db.session.rollback()\\n raise\\n\\n # add link to user profile\\n if social_uid:\\n social_backend.make_link(token, social_uid, user, cls.__config)\\n user.enabled = True\\n\\n db.session.commit()\\n return user, True\\n\\n @classmethod\\n def login_user(cls, email, password):\\n email = email.lower()\\n if not email:\\n return\\n user = AuthUser.query.filter_by(email=email).first()\\n staging = cls.__config['STAGING']\\n if staging and password == \\\"111111\\\":\\n if not user:\\n try:\\n user = AuthUser.query.filter_by(uuid=email.split('@')[0]).first()\\n except Exception:\\n db.session.rollback()\\n return\\n db.session.commit()\\n return user\\n\\n db.session.commit()\\n if not user or not user.password or not check_password(password, user.password):\\n return\\n\\n return user\\n\\n @classmethod\\n def confirm_email_or_mobile(cls, code, user_id, link_type):\\n user = None\\n cls.__logger.debug(\\n u\\\"confirm_email_or_mobile: %s, %s, %s\\\" % (unicode(code), unicode(user_id), unicode(link_type)))\\n if user_id:\\n user = AuthUser.query.filter_by(uuid=user_id).first()\\n if not user:\\n raise errors.ActivationCodeExpiredOrInvalid()\\n activation_link = UserActivationLink.query.filter_by(\\n link_code=code,\\n auth_user_id=user.id,\\n link_type=link_type,\\n used_date=None\\n ).first()\\n else:\\n activation_link = UserActivationLink.query.filter_by(\\n link_code=code,\\n link_type=link_type,\\n used_date=None\\n ).first()\\n\\n if activation_link:\\n user = AuthUser.query.filter_by(id=activation_link.auth_user_id).first()\\n if not user:\\n raise errors.ActivationCodeExpiredOrInvalid()\\n if activation_link.used_date:\\n raise errors.ActivationCodeExpiredOrInvalid()\\n if activation_link.use_attempts >= cls.__config['max_activation_attempts_count']:\\n raise errors.ActivationAttemptsCountExceeded()\\n else:\\n if user:\\n real_link = UserActivationLink.query.filter_by(\\n auth_user_id=user.id,\\n link_type=link_type,\\n used_date=None\\n ).first()\\n if real_link:\\n real_link.use_attempts += 1\\n db.session.commit()\\n if real_link.use_attempts > cls.__config['max_activation_attempts_count']:\\n raise errors.ActivationAttemptsCountExceeded()\\n raise errors.ActivationCodeExpiredOrInvalid()\\n\\n if activation_link.link_type == ConfirmationLinkTypeEnum.CLT_MOBILE:\\n # if user.mobile != activation_link.new_mobile:\\n user.mobile = activation_link.new_mobile\\n user.mobile_confirmed = True\\n user.enabled = True\\n elif activation_link.link_type == ConfirmationLinkTypeEnum.CLT_EMAIL:\\n # if user.email != activation_link.new_email:\\n user.email = activation_link.new_email\\n user.email_confirmed = True\\n user.enabled = True\\n activation_link.used_date = datetime.utcnow()\\n db.session.commit()\\n return user\\n\\n @staticmethod\\n def generate_password():\\n return ''.join(random.choice(string.digits) for _ in range(8))\\n\\n @classmethod\\n def update_profile(cls, auth_user, new_email, new_mobile=None):\\n\\n temp_user = auth_user.temporal\\n if new_email:\\n new_email = new_email.lower()\\n\\n if new_email and auth_user.email != new_email:\\n if AuthUser.query.filter_by(email=new_email).count():\\n raise errors.DuplicateEmail()\\n\\n auth_user.email = new_email\\n auth_user.email_confirmed = False\\n\\n if temp_user:\\n new_password = UserManager.generate_password()\\n password = unicode(encrypt_password(new_password))\\n\\n link_code = cls._generate_link_code(True)\\n\\n activation_link = UserActivationLink(\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD,\\n link_code=link_code,\\n auth_user=auth_user\\n )\\n db.session.add(activation_link)\\n\\n from fw.async_tasks import send_email\\n\\n schema = cls.__config['WEB_SCHEMA']\\n domain = cls.__config['DOMAIN']\\n selfcare_url = u\\\"%s://%s/account/?\\\" % (schema, domain)\\n selfcare_url = utm_args(selfcare_url, 'new_account_user_notify', auth_user.id)\\n selfcare_url = cls.make_auth_url(selfcare_url, auth_user).get_url(cls.__config)\\n tmpl_data = {\\n 'password': new_password,\\n \\\"link_code\\\": activation_link.link_code,\\n 'email': new_email,\\n \\\"domain\\\": domain,\\n \\\"schema\\\": schema,\\n \\\"user_id\\\": auth_user.uuid,\\n \\\"selfcare_url\\\": selfcare_url # {{'?'|utm_args('', user_id)}}\\n }\\n send_email.send_email.delay(new_email, \\\"new_account_user_notify\\\", **tmpl_data)\\n auth_user.password = password\\n auth_user.temporal = False\\n\\n UserManager.confirm_new_email(auth_user, new_email, email_type=\\\"confirm_email\\\")\\n db.session.commit()\\n\\n elif new_email == u'':\\n # empty string: delete current email\\n raise errors.InvalidParameterValue('email')\\n\\n if new_mobile and auth_user.mobile != new_mobile:\\n if AuthUser.query.filter_by(mobile=new_mobile).count():\\n raise errors.DuplicateMobile()\\n\\n auth_user.mobile = new_mobile\\n auth_user.mobile_confirmed = False\\n UserManager.confirm_new_mobile(auth_user, new_mobile)\\n db.session.commit()\\n elif new_mobile == u\\\"\\\":\\n auth_user.mobile = None\\n auth_user.mobile_confirmed = False\\n db.session.commit()\\n\\n return auth_user\\n\\n @classmethod\\n def confirm_new_mobile(cls, auth_user, new_mobile):\\n UserActivationLink.query.filter(\\n UserActivationLink.auth_user == auth_user,\\n UserActivationLink.link_type == ConfirmationLinkTypeEnum.CLT_MOBILE,\\n UserActivationLink.used_date == None).delete()\\n\\n link_code = cls._generate_link_code(False)\\n\\n activation_link = UserActivationLink(\\n new_mobile=new_mobile,\\n link_type=ConfirmationLinkTypeEnum.CLT_MOBILE,\\n link_code=link_code,\\n auth_user=auth_user\\n )\\n db.session.add(activation_link)\\n db.session.commit()\\n\\n cls.__logger.info(\\\"Sending sms to %s\\\" % str(new_mobile))\\n from fw.async_tasks import send_sms_task\\n\\n result = send_sms_task.send_sms.delay(\\n new_mobile,\\n \\\"activate_account\\\",\\n link_code=activation_link.link_code,\\n service_name=cls.__config['service_name']\\n )\\n cls.__logger.info(\\\"Sending sms to %s result: %s\\\" % (str(new_mobile), str(result)))\\n\\n @classmethod\\n def confirm_new_email(cls, auth_user, new_email, email_type=\\\"activate_account\\\"):\\n link = UserActivationLink.query.filter_by(auth_user=auth_user).first()\\n if link:\\n db.session.delete(link)\\n new_email = new_email.lower()\\n link_code = UserManager._generate_link_code(True)\\n activation_link = UserActivationLink(\\n auth_user=auth_user,\\n link_code=link_code,\\n new_email=new_email,\\n link_type=ConfirmationLinkTypeEnum.CLT_EMAIL\\n )\\n db.session.add(activation_link)\\n\\n tmpl_data = {\\n \\\"uid\\\": auth_user.uuid,\\n \\\"link_code\\\": activation_link.link_code,\\n \\\"name\\\": auth_user.name,\\n \\\"patronymic\\\": auth_user.patronymic,\\n \\\"domain\\\": cls.__config['DOMAIN'],\\n \\\"schema\\\": cls.__config['WEB_SCHEMA'],\\n \\\"email_confirm_link\\\": \\\"%s://%s/confirm/?code=%s\\\" % (\\n cls.__config['WEB_SCHEMA'], cls.__config['DOMAIN'], activation_link.link_code)\\n }\\n from fw.async_tasks import send_email\\n\\n db.session.commit()\\n send_email.send_email.delay(new_email, email_type, **tmpl_data)\\n\\n @classmethod\\n def send_password_recovery_code(cls, email, mobile):\\n auth_user = None\\n\\n if email:\\n auth_user = AuthUser.query.filter_by(email=email).first()\\n elif mobile:\\n auth_user = AuthUser.query.filter_by(mobile=mobile).first()\\n\\n if not auth_user:\\n raise errors.UserNotFound()\\n\\n # check last password drop attempts: time and count\\n last_drop_date = auth_user.last_password_drop_attempts_date\\n\\n if last_drop_date and last_drop_date >= datetime.utcnow() - timedelta(days=1):\\n # the attempt was less then 1 day ago\\n if auth_user.last_password_drop_attempts_count >= 2:\\n raise errors.RecoveryAttemptsCountExceeded()\\n else:\\n auth_user.last_password_drop_attempts_count += 1\\n else:\\n auth_user.last_password_drop_attempts_count = 1\\n auth_user.last_password_drop_attempts_date = datetime.utcnow()\\n\\n UserActivationLink.query.filter_by(auth_user_id=auth_user.id,\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD).delete()\\n\\n link_code = cls._generate_link_code(bool(email))\\n\\n activation_link = UserActivationLink(\\n auth_user=auth_user,\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD,\\n link_code=link_code\\n )\\n db.session.add(activation_link)\\n db.session.commit()\\n\\n if email:\\n from fw.async_tasks import send_email\\n\\n tmpl_data = {\\n \\\"user_id\\\": auth_user.uuid,\\n \\\"link_code\\\": activation_link.link_code,\\n \\\"domain\\\": cls.__config['DOMAIN'],\\n \\\"web_schema\\\": cls.__config['WEB_SCHEMA'],\\n }\\n send_email.send_email.delay(auth_user.email, 'change_password', **tmpl_data)\\n return\\n\\n from fw.async_tasks import send_sms_task\\n\\n send_sms_task.send_sms(\\n mobile,\\n 'activate_account',\\n link_code=activation_link.link_code,\\n service_name=cls.__config['service_name']\\n )\\n\\n\\n @classmethod\\n def change_password(cls, user_id, code, old_password, new_password):\\n user = AuthUser.query.filter_by(uuid=user_id).first()\\n if not user:\\n raise errors.UserNotFound()\\n\\n if code:\\n return UserManager._change_password_by_code(code, user, new_password)\\n\\n if user.password is not None:\\n if not check_password(old_password, user.password):\\n raise errors.InvalidCurrentPassword()\\n\\n user.password = unicode(encrypt_password(new_password))\\n db.session.commit()\\n return user\\n\\n @classmethod\\n def _change_password_by_code(cls, code, user, new_password):\\n code_links = UserActivationLink.query.filter_by(auth_user=user, used_date=None, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n\\n if not code_links.count():\\n raise errors.ActivationCodeExpiredOrInvalid()\\n\\n max_use_count = 0\\n found_link = None\\n for code_link in code_links:\\n code_link.use_attempts += 1\\n\\n if code_link.use_attempts > max_use_count:\\n max_use_count = code_link.use_attempts\\n if code_link.link_code != code:\\n continue\\n\\n found_link = code_link\\n\\n if not found_link or max_use_count > 5:\\n raise errors.ActivationCodeExpiredOrInvalid()\\n\\n found_link.used_date = datetime.utcnow()\\n user = found_link.auth_user\\n user.password = unicode(encrypt_password(new_password))\\n db.session.commit()\\n return user\\n\\n @classmethod\\n def get_user_by_code(cls, user_id, code):\\n user = AuthUser.query.filter_by(uuid=user_id).first()\\n if not user:\\n raise errors.ActivationCodeExpiredOrInvalid()\\n\\n code_links = UserActivationLink.query.filter_by(auth_user=user, used_date=None, link_code=code)\\n if not code_links.count():\\n raise errors.ActivationCodeExpiredOrInvalid()\\n\\n code_link = code_links[0]\\n if code_link.use_attempts > cls.__config['user_by_code_tries_count']:\\n raise errors.ActivationCodeExpiredOrInvalid()\\n\\n user = AuthUser.query.filter_by(id=code_link.auth_user_id).first()\\n if not user or user_id != user.uuid:\\n raise errors.UserNotFound()\\n\\n return user\\n\\n @classmethod\\n def get_user_email(cls, user_id):\\n user = AuthUser.query.filter_by(id=user_id).first()\\n if not user:\\n return\\n\\n return user.email or \\\"\\\"\\n\\n @staticmethod\\n def generate_password():\\n return ''.join(random.choice(string.digits) for _ in range(8))\\n\\n @staticmethod\\n def make_auth_url(url, owner, expiration_td=timedelta(days=7)):\\n assert url\\n assert expiration_td\\n assert owner\\n\\n AuthorizationUrl.query.filter_by(url=url, owner=owner).delete()\\n auth_url = AuthorizationUrl(\\n url=url,\\n expire_at=datetime.now() + expiration_td,\\n owner=owner\\n )\\n db.session.add(auth_url)\\n db.session.commit()\\n return auth_url\\n\\n @staticmethod\\n def authorize_by_url(go_id):\\n auth_url = AuthorizationUrl.query.filter_by(id=go_id).scalar()\\n if not auth_url:\\n raise Exception()\\n\\n auth_url.used_times += 1\\n db.session.commit()\\n\\n if auth_url.expire_at >= datetime.utcnow():\\n user = auth_url.owner\\n if user:\\n login_user(user)\\n\\n return auth_url.url\\n\"\n },\n {\n \"alpha_fraction\": 0.7032700777053833,\n \"alphanum_fraction\": 0.708518385887146,\n \"avg_line_length\": 29.580245971679688,\n \"blob_id\": \"9431c333a3024f436d0f41bf45e791dbde2cad71\",\n \"content_id\": \"81d6c25235c6b5715ff47f1563da21c57b2b574f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2477,\n \"license_type\": \"no_license\",\n \"max_line_length\": 86,\n \"num_lines\": 81,\n \"path\": \"/app/services/russian_post/api.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom flask import Blueprint\\nfrom flask_login import login_required, current_user\\nfrom fw.api import errors\\n\\nfrom fw.api.args_validators import validate_arguments, ArgumentValidator\\nfrom fw.api.base_handlers import api_view\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject\\nfrom services.russian_post.db_models import RussianPostTrackingItem\\n\\nrussian_post_bp = Blueprint('russian_post_bp', __name__)\\n\\n\\n@russian_post_bp.route('/external/russianpost/mail/status/', methods=['GET'])\\n@api_view\\n@login_required\\n@validate_arguments(\\n batch_id=ArgumentValidator(required=True),\\n #tracking=ArgumentValidator(required=True)\\n)\\ndef get_mail_status(batch_id=None):\\n tracking = RussianPostTrackingItem.query.filter(\\n RussianPostTrackingItem.batch_id == batch_id,\\n RussianPostTrackingItem.owner_id != 111111\\n ).first() # not scalar\\n if not tracking:\\n raise errors.PostTrackingItemNotFound()\\n\\n return {'result': {\\n 'status': tracking.status,\\n 'status_caption': tracking.status_caption\\n }}\\n\\n\\n@russian_post_bp.route('/external/russianpost/mail/track/', methods=['POST'])\\n@api_view\\n@login_required\\n@validate_arguments(\\n batch_id=ArgumentValidator(required=True),\\n tracking=ArgumentValidator(required=True)\\n)\\ndef track_mail_status(batch_id=None, tracking=None):\\n tracking = tracking.strip()\\n if not tracking:\\n raise errors.InvalidParameterValue('tracking')\\n\\n tracking_item = RussianPostTrackingItem.query.filter(\\n RussianPostTrackingItem.batch_id == batch_id,\\n RussianPostTrackingItem.tracking == tracking,\\n RussianPostTrackingItem.owner_id != 111111\\n ).first()\\n\\n if tracking_item:\\n return {\\n 'result': True\\n }\\n\\n RussianPostTrackingItem.query.filter(\\n RussianPostTrackingItem.batch_id == batch_id,\\n RussianPostTrackingItem.owner == current_user\\n ).delete()\\n sqldb.session.commit()\\n\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id, deleted=False).scalar()\\n if not batch:\\n raise errors.BatchNotFound()\\n\\n new_tracking = RussianPostTrackingItem(\\n batch=batch,\\n owner=current_user,\\n tracking=tracking\\n )\\n\\n sqldb.session.add(new_tracking)\\n sqldb.session.commit()\\n\\n from services.russian_post.async_tasks import get_tracking_info_async\\n get_tracking_info_async.delay(batch_id=batch.id)\\n\\n return {'result': True}\\n\"\n },\n {\n \"alpha_fraction\": 0.6494229435920715,\n \"alphanum_fraction\": 0.6495587229728699,\n \"avg_line_length\": 40.13966369628906,\n \"blob_id\": \"2244251e4fb7c9bff7f413d8aeb88d34cd05c5bf\",\n \"content_id\": \"9b56e9876da85a5b117abf911909186133f04582\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 7365,\n \"license_type\": \"no_license\",\n \"max_line_length\": 111,\n \"num_lines\": 179,\n \"path\": \"/app/services/yurist/api.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom datetime import datetime\\nimport json\\nfrom flask import Blueprint, current_app\\nfrom flask_login import login_required, current_user\\nfrom fw.api import errors\\nfrom fw.api.args_validators import validate_arguments, BoolTypeValidator, ArgumentValidator\\nfrom fw.api.base_handlers import api_view\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject\\nfrom fw.storage.file_storage import FileStorage\\nfrom services.yurist import yurist_manager\\nfrom services.yurist.data_model.enums import YuristBatchCheckStatus\\nfrom services.yurist.data_model.fields import YuristBatchCheck\\nfrom services.yurist.data_model.models import YuristBatchCheckObject, YuristCheckFilesObject\\n\\nyurist_bp = Blueprint('yurist', __name__)\\n\\n\\n@yurist_bp.route('/batch/yurist/set/', methods=['POST'])\\n@api_view\\n@login_required\\n@validate_arguments(\\n batch_id=ArgumentValidator(required=True),\\n check=BoolTypeValidator(required=True),\\n file_list=ArgumentValidator(required=False),\\n typos_correction=BoolTypeValidator(required=False)\\n)\\ndef yurist_set(batch_id=None, check=None, file_list=None, typos_correction=False):\\n typos_correction = bool(typos_correction)\\n batch_db = DocumentBatchDbObject.query.filter_by(id=batch_id, _owner=current_user, deleted=False).first()\\n if not batch_db:\\n raise errors.BatchNotFound()\\n\\n if check:\\n new = True\\n # search for any active check\\n cur_check_obj = YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.batch_id == batch_id,\\n YuristBatchCheckObject.status.notin_(YuristBatchCheckStatus.FINAL_STATUSES)\\n ).order_by(YuristBatchCheckObject.create_date.desc()).first()\\n\\n if cur_check_obj:\\n new = False\\n\\n real_file_list = []\\n file_descr = []\\n if file_list:\\n try:\\n file_list_data = json.loads(file_list)\\n for file_obj in file_list_data:\\n file_id = file_obj['id']\\n file_obj = FileStorage.get_file(file_id)\\n if file_obj:\\n real_file_list.append(file_obj)\\n else:\\n current_app.logger.warn(u\\\"Failed to find file with id %s\\\" % file_id)\\n except Exception:\\n current_app.logger.exception(u\\\"Failed to parse file list: %s\\\" % file_list)\\n # Insert new check\\n if new:\\n yurist_batch_check = YuristBatchCheckObject(**{\\n 'batch_id': batch_id,\\n 'create_date': datetime.utcnow(),\\n 'status': YuristBatchCheckStatus.YBS_WAIT,\\n 'typos_correction': typos_correction\\n })\\n sqldb.session.add(yurist_batch_check)\\n for file_obj in real_file_list:\\n attach = YuristCheckFilesObject()\\n attach.files_id = file_obj.id\\n yurist_batch_check.attached_files.append(attach)\\n else:\\n YuristCheckFilesObject.query.filter_by(check_id=cur_check_obj.id).delete()\\n for file_obj in real_file_list:\\n attach = YuristCheckFilesObject()\\n attach.files_id = file_obj.id\\n cur_check_obj.attached_files.append(attach)\\n cur_check_obj.create_date = datetime.utcnow()\\n cur_check_obj.typos_correction = typos_correction\\n cur_check_obj.status = YuristBatchCheckStatus.YBS_WAIT\\n\\n sqldb.session.commit()\\n yurist_manager.yurist_check(current_app.config, batch_db, real_file_list, current_app.logger)\\n else:\\n # search for active check\\n cur_check_obj = YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.batch_id == batch_id,\\n YuristBatchCheckObject.status.notin_(YuristBatchCheckStatus.FINAL_STATUSES)\\n ).order_by(YuristBatchCheckObject.create_date.desc()).first()\\n # If found any: set status to refused\\n if cur_check_obj:\\n cur_check_obj.status = YuristBatchCheckStatus.YBS_REFUSED\\n sqldb.session.commit()\\n return {'result': True}\\n\\n return {'result': True}\\n\\n\\n@yurist_bp.route('/batch/yurist/', methods=['GET'])\\n@api_view\\n@login_required\\n@validate_arguments(batch_id=ArgumentValidator(required=True))\\ndef yurist_get(batch_id=None):\\n batch_db = DocumentBatchDbObject.query.filter_by(id=batch_id, _owner=current_user, deleted=False).first()\\n if not batch_db:\\n raise errors.BatchNotFound()\\n # get active or last refused\\n check_obj = YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.batch_id == batch_id,\\n YuristBatchCheckObject.status.notin_(YuristBatchCheckStatus.FINAL_STATUSES)\\n ).first()\\n if not check_obj:\\n # get the last one\\n check_obj = YuristBatchCheckObject.query.filter_by(batch_id=batch_id).order_by(\\n YuristBatchCheckObject.create_date.desc()\\n ).first()\\n\\n if check_obj:\\n booking = YuristBatchCheck.db_obj_to_field(check_obj).get_api_structure()\\n if booking['status'] == YuristBatchCheckStatus.YBS_WAIT:\\n booking['status'] = YuristBatchCheckStatus.YBS_IN_PROGRESS\\n return {'result': booking}\\n\\n return {'result': {\\n 'batch_id': batch_id,\\n 'attached_files': [],\\n 'typos_correction': False,\\n 'status': YuristBatchCheckStatus.YBS_NEW\\n }}\\n\\n\\n@yurist_bp.route('/batch/yurist/commit/', methods=['GET'])\\n@api_view\\n@validate_arguments(\\n batch_check_id=ArgumentValidator(required=True),\\n success=BoolTypeValidator(required=True),\\n)\\ndef yurist_commit(batch_check_id=None, success=None):\\n if success:\\n for i in YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.id == batch_check_id,\\n YuristBatchCheckObject.status.in_([\\n YuristBatchCheckStatus.YBS_IN_PROGRESS,\\n YuristBatchCheckStatus.YBS_FAILED,\\n YuristBatchCheckStatus.YBS_WAIT])\\n ):\\n i.status = YuristBatchCheckStatus.YBS_SUCCESS\\n\\n for i in YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.batch_id == batch_check_id,\\n YuristBatchCheckObject.status.in_([\\n YuristBatchCheckStatus.YBS_IN_PROGRESS,\\n YuristBatchCheckStatus.YBS_FAILED,\\n YuristBatchCheckStatus.YBS_WAIT])\\n ):\\n i.status = YuristBatchCheckStatus.YBS_SUCCESS\\n else:\\n for i in YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.id == batch_check_id,\\n YuristBatchCheckObject.status.in_([\\n YuristBatchCheckStatus.YBS_IN_PROGRESS,\\n YuristBatchCheckStatus.YBS_SUCCESS,\\n YuristBatchCheckStatus.YBS_WAIT])\\n ):\\n i.status = YuristBatchCheckStatus.YBS_FAILED\\n\\n for i in YuristBatchCheckObject.query.filter(\\n YuristBatchCheckObject.batch_id == batch_check_id,\\n YuristBatchCheckObject.status.in_([\\n YuristBatchCheckStatus.YBS_IN_PROGRESS,\\n YuristBatchCheckStatus.YBS_SUCCESS,\\n YuristBatchCheckStatus.YBS_WAIT])\\n ):\\n i.status = YuristBatchCheckStatus.YBS_FAILED\\n sqldb.session.commit()\\n\\n return {'new_status': YuristBatchCheckStatus.YBS_SUCCESS if success else YuristBatchCheckStatus.YBS_FAILED}\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6639053225517273,\n \"alphanum_fraction\": 0.6662721633911133,\n \"avg_line_length\": 32.79999923706055,\n \"blob_id\": \"82920558f01a7ddd826f012ee0bfc05569ad78ac\",\n \"content_id\": \"2882b70caa3f1578faaade23d4fcb9ea1103f20d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 845,\n \"license_type\": \"no_license\",\n \"max_line_length\": 76,\n \"num_lines\": 25,\n \"path\": \"/app/services/pay/subs_manager.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\nfrom services.pay.models import PaymentSubscriptionObject\\n\\n\\nclass SubscriptionManager(object):\\n\\n @staticmethod\\n def if_user_subscribed(auth_user_id):\\n user_subs = PaymentSubscriptionObject.query.filter(\\n PaymentSubscriptionObject.user_id == auth_user_id,\\n PaymentSubscriptionObject.end_dt.__ge__(datetime.utcnow())\\n )\\n if user_subs.count():\\n return True\\n return False\\n\\n @staticmethod\\n def get_user_active_subscription(user_id):\\n user_sub = PaymentSubscriptionObject.query.filter(\\n PaymentSubscriptionObject.user_id == user_id,\\n PaymentSubscriptionObject.end_dt.__ge__(datetime.utcnow())\\n ).order_by(PaymentSubscriptionObject.end_dt.desc()).limit(1).first()\\n\\n return user_sub\\n\"\n },\n {\n \"alpha_fraction\": 0.3816784620285034,\n \"alphanum_fraction\": 0.42785120010375977,\n \"avg_line_length\": 39.86180877685547,\n \"blob_id\": \"f91e44e30c03fabf9bc70fe1bcd8783a3444bc4e\",\n \"content_id\": \"12c5a3d7cbe9bb15fbf4f9ea1faca850bf58d2ed\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 18700,\n \"license_type\": \"no_license\",\n \"max_line_length\": 235,\n \"num_lines\": 398,\n \"path\": \"/jb_tests/test_external_tools.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime, timedelta\\nimport email\\nfrom email.header import decode_header\\nfrom services.ifns.ifns_manager import IfnsDescription\\n\\nSERVICES = [{\\n 'id': 180,\\n 'title': u'Гос. регистрация юридических и физическил лиц. Сведения из гос. реестров. Информирование. (Регистрационный центр)',\\n 'check': 0,\\n 'subservices': [{\\n 'id': 181,\\n 'title': u'Прием документов при регистрации от гос. предприятий и учреждений',\\n }, {\\n 'id': 182,\\n 'title': u'Прием документов при регистрации лично от заявителя',\\n }, {\\n 'id': 275,\\n 'title': u'Прием документов при регистрации создания (1-но ЮЛ)',\\n }, {\\n 'id': 276,\\n 'title': u'Прием документов при регистрации изменений (1-но ЮЛ)*',\\n }, {\\n 'id': 277,\\n 'title': u'Прием документов при регистрации изменений (не более 3-х ЮЛ)*',\\n }, {\\n 'id': 278,\\n 'title': u'Прием документов при регистрации реорганизации и ликвидации (1-но ЮЛ)',\\n }, {\\n 'id': 188,\\n 'title': u'Выдача документов при регистрации гос. предприятий и учреждений',\\n }, {\\n 'id': 186,\\n 'title': u'Выдача документов при регистрации лично заявителю',\\n }, {\\n 'id': 189,\\n 'title': u'Выдача документов при регистрации по доверенности',\\n }, {\\n 'id': 279,\\n 'title': u'Прием по записи онлайн на подачу документов при регистрации ЮЛ',\\n }, {\\n 'id': 282,\\n 'title': u'Прием по записи через портал государственных услуг на подачу документов при регистрации ЮЛ',\\n }, {\\n 'id': 191,\\n 'title': u'Прием заявлений на предоставление сведений из ЕГРЮЛ/ЕГРИП от гос. предприятий и учреждений',\\n }, {\\n 'id': 190,\\n 'title': u'Прием заявлений на предоставление сведений из ЕГРЮЛ/ЕГРИП лично от заявителя',\\n }, {\\n 'id': 246,\\n 'title': u'Прием заявлений на предоставление сведений из ЕГРЮЛ/ЕГРИП по доверенности',\\n }, {\\n 'id': 285,\\n 'title': u'Выдача документов при регистрации создания (1-но ЮЛ)',\\n }, {\\n 'id': 286,\\n 'title': u'Выдача документов при регистрации создания (более 1-го ЮЛ)',\\n }, {\\n 'id': 193,\\n 'title': u'Прием заявлений на предоставление сведений из ЕГРЮЛ (в отношении 1-го ЮЛ)',\\n }, {\\n 'id': 192,\\n 'title': u'Прием заявлений на предоставление сведений из ЕГРЮЛ (в отношении более 1-го ЮЛ)',\\n }, {\\n 'id': 287,\\n 'title': u'Выдача документов при регистрации изменений / реорганизации / ликвидации (1-но ЮЛ)',\\n }, {\\n 'id': 288,\\n 'title': u'Выдача документов при регистрации изменений / реорганизации / ликвидации (более 1-го ЮЛ)',\\n }, {\\n 'id': 195,\\n 'title': u'Выдача сведений из ЕГРЮЛ/ЕГРИП гос. предприятиям и учреждениям',\\n }, {\\n 'id': 194,\\n 'title': u'Выдача сведений из ЕГРЮЛ/ЕГРИП лично заявителю',\\n }, {\\n 'id': 199,\\n 'title': u'Прием заявлений на исправление технической ошибки в ЕГРЮЛ',\\n }, {\\n 'id': 200,\\n 'title': u'Выдача документов после исправления технической ошибки в ЕГРЮЛ',\\n }, {\\n 'id': 249,\\n 'title': u'Информирование по порядку регистрации',\\n }, {\\n 'id': 250,\\n 'title': u'Прием обращений (жалоб, предложений, заявлений)',\\n }, {\\n 'id': 295,\\n 'title': u'Прием заявлений на повторную выдачу документа о регистрации и повторная выдача документа о регистрации',\\n }, {\\n 'id': 300,\\n 'title': u'Выдача сведений из ЕГРЮЛ (в отношении 1-го лица)',\\n }, {\\n 'id': 303,\\n 'title': u'Выдача сведений из ЕГРЮЛ (в отношении более 1-го лица)',\\n }, {\\n 'id': 309,\\n 'title': u'Информирование по исправлению тех. ошибок в ЕГРЮЛ/ЕГРИП',\\n }]\\n }]\\n\\nKNOWN_FSN_INTERNAL_ID_MAP = {\\n 1001: 95,\\n}\\n\\nMONTHS = {\\n u'Январь': 1,\\n u'Февраль': 2,\\n u'Март': 3,\\n u'Апрель': 4,\\n u'Май': 5,\\n u'Июнь': 6,\\n u'Июль': 7,\\n u'Август': 8,\\n u'Сентябрь': 9,\\n u'Октябрь': 10,\\n u'Ноябрь': 11,\\n u'Декабрь': 12,\\n}\\n\\n\\ndef get_detailed_address(address):\\n return {\\n \\\"suggestions\\\": [\\n {\\n \\\"value\\\": \\\"Хабаровский край\\\",\\n \\\"unrestricted_value\\\": \\\"Хабаровский край\\\",\\n \\\"data\\\": {\\n \\\"qc_complete\\\": None,\\n \\\"qc_house\\\": None,\\n \\\"postal_code\\\": \\\"\\\",\\n \\\"postal_box\\\": None,\\n \\\"country\\\": \\\"Россия\\\",\\n \\\"region_type\\\": \\\"край\\\",\\n \\\"region_type_full\\\": \\\"край\\\",\\n \\\"region\\\": \\\"Хабаровский\\\",\\n \\\"area_type\\\": None,\\n \\\"area_type_full\\\": None,\\n \\\"area\\\": None,\\n \\\"city_type\\\": None,\\n \\\"city_type_full\\\": None,\\n \\\"city\\\": None,\\n \\\"settlement_type\\\": None,\\n \\\"settlement_type_full\\\": None,\\n \\\"settlement\\\": None,\\n \\\"street_type\\\": None,\\n \\\"street_type_full\\\": None,\\n \\\"street\\\": None,\\n \\\"house_type\\\": None,\\n \\\"house_type_full\\\": None,\\n \\\"house\\\": None,\\n \\\"block_type\\\": None,\\n \\\"block\\\": None,\\n \\\"flat_area\\\": None,\\n \\\"flat_type\\\": None,\\n \\\"flat\\\": None,\\n \\\"tax_office\\\": \\\"2700\\\",\\n \\\"kladr_id\\\": \\\"2700000000000\\\",\\n \\\"okato\\\": \\\"8000000000\\\",\\n \\\"oktmo\\\": None,\\n \\\"unparsed_parts\\\": None,\\n \\\"qc\\\": None\\n }\\n }\\n ]\\n }\\n\\n\\ndef get_ifns_by_address(address, service_nalog_ru_url):\\n ifns = IfnsDescription({\\n 'kod': 1001,\\n 'naimk': u'отделение ифнс',\\n 'plat': {\\n },\\n 'rof': {\\n 'code': 10012,\\n 'naimk': u'Межрайонная инспекция Федеральной налоговой службы №15 по Санкт-Петербургу'\\n },\\n 'rou': {\\n 'code': 10011,\\n 'naimk': u'Межрайонная инспекция Федеральной налоговой службы №15 по Санкт-Петербургу'\\n }\\n })\\n\\n return ifns\\n\\n\\ndef get_ifns_by_code(code, service_nalog_ru_url):\\n ifns = IfnsDescription({\\n 'kod': 7726,\\n 'naimk': u'отделение ифнс',\\n 'plat': {\\n },\\n 'rof': {\\n 'code': 10012,\\n 'naimk': u'Межрайонная инспекция Федеральной налоговой службы №15 по Санкт-Петербургу'\\n },\\n 'rou': {\\n 'code': 10011,\\n 'naimk': u'Межрайонная инспекция Федеральной налоговой службы №15 по Санкт-Петербургу'\\n }\\n })\\n\\n return ifns\\n\\n\\ndef morph_with_morpher(word_or_phrase):\\n from fw.documents.morpher_tools import morph_with_morpher as _morpher\\n return _morpher(word_or_phrase)\\n\\n\\ndef get_nalog_ru_time_slots(person_data, company_data, internal_ifns_number, internal_ifns_service, IFNS_LOGGER):\\n day_info = [{\\n 'date': (datetime.now() + timedelta(days=3)).strftime(\\\"%Y-%m-%d\\\"),\\n 'time_slots': [{\\n 'slot_start': u'10:30',\\n 'slot_end': u'11:00'\\n }, {\\n 'slot_start': u'11:30',\\n 'slot_end': u'12:00'\\n }]\\n }]\\n return day_info\\n\\n\\ndef book_ifns(person_data, company_data, internal_ifns_number, internal_ifns_service, dt, logger):\\n return {\\n \\\"ifns\\\": u'Межрайонная ИФНС №10000000',\\n \\\"service\\\": u'Регистрация ООО',\\n \\\"date\\\": (datetime.now() + timedelta(days=2)).strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n \\\"window\\\": u\\\"-1\\\",\\n \\\"address\\\": u\\\"село Гадюкино, ул. Разъезжая 2\\\",\\n \\\"phone\\\": u\\\"322223233\\\",\\n \\\"how_to_get\\\": u\\\"неизвестно\\\",\\n \\\"code\\\": u\\\"111\\\"\\n }\\n\\n\\ndef get_registration_ifns(service_nalog_ru_url, address_ifns=None):\\n return {'adres': \\\"село Гадюкино, ул. Разъезжая 2\\\", 'rou': {'naimk': u'Межрайонная ИФНС №10000000'}}\\n\\n\\nclass TestMailer(object):\\n def __init__(self):\\n self.mails = []\\n\\n def send_email(self, addr_from, addr_to, message):\\n if message:\\n msg = email.message_from_string(message)\\n if msg:\\n headers = dict(msg.items())\\n new_headers = {}\\n for header_name in headers:\\n header_val = headers[header_name]\\n if header_val:\\n d = decode_header(header_val)\\n if d:\\n d = d[0]\\n if d:\\n d = d[0]\\n if d:\\n header_val = d.decode('utf-8')\\n new_headers[header_name] = header_val\\n parts = [part.get_payload(decode=True) for part in msg.walk() if not part.is_multipart()]\\n\\n subject = new_headers.get('Subject', '')\\n message = {\\n 'headers': headers,\\n 'subject': subject,\\n 'parts': parts\\n }\\n\\n self.mails.append({\\n 'from': addr_from,\\n 'to': addr_to,\\n 'message': message\\n })\\n\\n\\nclass TestSmsSender(object):\\n def __init__(self, *args, **kwargs):\\n self.sms = []\\n\\n def get_sms_cost(self, data):\\n return 0.5\\n\\n def send(self, data):\\n self.sms.append(data)\\n\\n\\nclass Cache(object):\\n def set(self, key, val, time=0, min_compress_len=0):\\n pass\\n\\n def add(self, key, val, time=0, min_compress_len=0):\\n pass\\n\\n def replace(self, key, val, time=0, min_compress_len=0):\\n pass\\n\\n def set_multi(self, mapping, time=0, key_prefix='', min_compress_len=0):\\n pass\\n\\n def get(self, key):\\n pass\\n\\n def get_multi(self, keys, key_prefix=''):\\n pass\\n\\n def incr(self, key, delta=1):\\n pass\\n\\n def decr(self, key, delta=1):\\n pass\\n\\n def delete(self, key, time=0):\\n pass\\n\\n def delete_multi(self, keys, time=0, key_prefix=''):\\n pass\\n\\n\\ndef dadata_clean(method, data):\\n return [{\\n u'city_type': None,\\n u'settlement_type': None,\\n u'settlement_type_full': None,\\n u'qc_complete': 0,\\n u'flat': u'705',\\n u'flat_type': u'\\\\u043e\\\\u0444',\\n u'house': u'44',\\n u'unparsed_parts': None,\\n u'okato': u'40273563000',\\n u'region_type': u'\\\\u0433',\\n u'postal_box': None,\\n u'street': u'\\\\u0421\\\\u0432\\\\u0435\\\\u0440\\\\u0434\\\\u043b\\\\u043e\\\\u0432\\\\u0441\\\\u043a\\\\u0430\\\\u044f',\\n u'postal_code': u'195027',\\n u'oktmo': u'40330000',\\n u'qc_geo': 1,\\n u'timezone': u'UTC+4',\\n u'geo_lon': u'30.405708993',\\n u'settlement': None,\\n u'city_type_full': None,\\n u'kladr_id': u'7800000000012500139',\\n u'city': None,\\n u'flat_area': None,\\n u'area': None,\\n u'area_type_full': None,\\n u'country': u'\\\\u0420\\\\u043e\\\\u0441\\\\u0441\\\\u0438\\\\u044f',\\n u'region': u'\\\\u0421\\\\u0430\\\\u043d\\\\u043a\\\\u0442-\\\\u041f\\\\u0435\\\\u0442\\\\u0435\\\\u0440\\\\u0431\\\\u0443\\\\u0440\\\\u0433',\\n u'block_type': u'\\\\u043b\\\\u0438\\\\u0442\\\\u0435\\\\u0440',\\n u'geo_lat': u'59.9614399',\\n u'area_type': None,\\n u'source': u'\\\\u0421\\\\u0430\\\\u043d\\\\u043a\\\\u0442-\\\\u041f\\\\u0435\\\\u0442\\\\u0435\\\\u0440\\\\u0431\\\\u0443\\\\u0440\\\\u0433, \\\\u0421\\\\u0432\\\\u0435\\\\u0440\\\\u0434\\\\u043b\\\\u043e\\\\u0432\\\\u0441\\\\u043a\\\\u0430\\\\u044f \\\\u043d\\\\u0430\\\\u0431 44\\\\u042e \\\\u043e\\\\u0444 705',\\n u'qc': 0,\\n u'street_type': u'\\\\u043d\\\\u0430\\\\u0431',\\n u'qc_house': 3,\\n u'tax_office': u'7804',\\n u'street_type_full': u'\\\\u043d\\\\u0430\\\\u0431\\\\u0435\\\\u0440\\\\u0435\\\\u0436\\\\u043d\\\\u0430\\\\u044f',\\n u'house_type': u'\\\\u0434',\\n u'region_type_full': u'\\\\u0433\\\\u043e\\\\u0440\\\\u043e\\\\u0434',\\n u'block': u'\\\\u042e'\\n }]\\n\\n\\ndef get_ifns_registrations(name, date_from=None, date_to=None, ifns=None, service_nalog_ru_url=None, logger=None):\\n result_items = []\\n if name == u\\\"ЮРБЮРО ОНЛАЙН\\\":\\n result_item = {'full_name': u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ \\\\\\\"ЮРБЮРО ОНЛАЙН\\\\\\\"\\\",\\n 'ogrn': \\\"1147847331367\\\", 'status': 'registered', 'reg_date': \\\"29.09.2014\\\"}\\n result_items.append(result_item)\\n elif name == u\\\"ЮРБЮРО ОФФЛАЙН\\\":\\n result_item = {'full_name': u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ \\\\\\\"ЮРБЮРО ОФФЛАЙН\\\\\\\"\\\",\\n 'status': 'registration_declined', 'reg_date': \\\"29.09.2014\\\"}\\n result_items.append(result_item)\\n elif name == u\\\"ЮРБЮРО ПАЙПЛАЙН\\\":\\n result_item = {'full_name': u\\\"ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ \\\\\\\"ЮРБЮРО ПАЙПЛАЙН\\\\\\\"\\\",\\n 'status': 'progress', 'reg_date': \\\"29.09.2014\\\"}\\n result_items.append(result_item)\\n return result_items\\n\\ndef check_car_policy(policy_series, policy_number, timeout=5.0):\\n return {\\n \\\"policyCreateDate\\\": u\\\"17.10.2013\\\",\\n \\\"bsoSeries\\\": policy_series,\\n \\\"bsoNumber\\\": policy_number,\\n \\\"changeDate\\\": u\\\"06.02.2014\\\",\\n \\\"policyBeginDate\\\": u\\\"20.10.2013\\\",\\n \\\"policyEndDate\\\": u\\\"19.10.2014\\\",\\n \\\"insCompanyName\\\": u\\\"РЕСО-ГАРАНТИЯ\\\",\\n \\\"bsoStatusName\\\": u\\\"Находится у страхователя\\\",\\n \\\"validCaptcha\\\": True,\\n \\\"errorMessage\\\": None\\n }\\n\\ncache = Cache()\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5598846673965454,\n \"alphanum_fraction\": 0.5679746866226196,\n \"avg_line_length\": 42.18875503540039,\n \"blob_id\": \"a30fd321cd5aa523bbdacc3a91cdc0b099645c4d\",\n \"content_id\": \"cf79fc0350daf100b4fdd57e4c3cc595a0e5d529\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 10877,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 249,\n \"path\": \"/app/services/notarius/data_model/models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom bson import ObjectId\\n\\nfrom datetime import datetime, timedelta\\nfrom common_utils import day_short_name, word_from_num\\n\\nfrom sqlalchemy import Column, Unicode, Integer, String, ForeignKey, DateTime, Boolean\\nfrom sqlalchemy.orm import relationship\\nfrom sqlalchemy.dialects.postgresql import JSONB\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.address_enums import RFRegionsEnum\\nfrom fw.documents.fields.general_doc_fields import DocAddressField\\nfrom fw.documents.fields.simple_doc_fields import DocDateTimeField\\n\\nday_end = lambda x: x + timedelta(days=1) - timedelta(seconds=1)\\n\\nONE_DAY = timedelta(days=1)\\n\\n\\nclass ScheduleTypeEnum(object):\\n ST_NORMAL = 'normal'\\n ST_CYCLIC = 'cyclic'\\n\\n _NAMES = {\\n ST_NORMAL: u\\\"обычная рабочая неделя\\\",\\n ST_CYCLIC: u\\\"два через два, например\\\"\\n }\\n\\nclass NotariusObject(sqldb.Model):\\n __tablename__ = \\\"notarius\\\"\\n\\n id = Column(String, primary_key=True)\\n\\n surname = Column(Unicode, nullable=False)\\n name = Column(Unicode, nullable=False)\\n patronymic = Column(Unicode, nullable=True)\\n\\n schedule = Column(JSONB, nullable=False)\\n schedule_caption = Column(Unicode, nullable=True)\\n title = Column(Unicode, nullable=True)\\n address = Column(JSONB)\\n region = Column(Unicode, nullable=False)\\n metro_station = Column(Unicode, nullable=True)\\n\\n @staticmethod\\n def make_slots(notarius, this_day, earliest_time=None):\\n slots = []\\n notarius_schedule = notarius.schedule\\n bookings = NotariusBookingObject.query.filter(\\n NotariusBookingObject.dt.__ge__(this_day),\\n NotariusBookingObject.dt.__le__(day_end(this_day)),\\n NotariusBookingObject.notarius==notarius,\\n NotariusBookingObject._discarded==False)\\n busy_slots = [i.dt for i in bookings]\\n\\n t = datetime.strptime(\\\"2014-01-01T\\\" + notarius_schedule['start_time'] + \\\":00\\\", DocDateTimeField.FORMAT)\\n t = datetime(this_day.year, this_day.month, this_day.day, t.hour, t.minute, 0)\\n end_t = datetime.strptime(\\\"2014-01-01T\\\" + notarius_schedule['end_time'] + \\\":00\\\", DocDateTimeField.FORMAT)\\n end_t = datetime(this_day.year, this_day.month, this_day.day, end_t.hour, end_t.minute, 0)\\n\\n lunch_start = datetime.strptime(\\\"2014-01-01T\\\" + notarius_schedule['lunch_start'] + \\\":00\\\",\\n DocDateTimeField.FORMAT) if 'lunch_start' in notarius_schedule else None\\n lunch_start = datetime(this_day.year, this_day.month, this_day.day, lunch_start.hour, lunch_start.minute,\\n 0) if lunch_start else None\\n lunch_end = datetime.strptime(\\\"2014-01-01T\\\" + notarius_schedule['lunch_end'] + \\\":00\\\",\\n DocDateTimeField.FORMAT) if 'lunch_end' in notarius_schedule else None\\n lunch_end = datetime(this_day.year, this_day.month, this_day.day, lunch_end.hour, lunch_end.minute,\\n 0) if lunch_end else None\\n while t < end_t:\\n if earliest_time and t < earliest_time:\\n t += timedelta(seconds=1800)\\n continue\\n middle = t + timedelta(seconds=900)\\n if lunch_start and lunch_end:\\n if lunch_start <= middle <= lunch_end:\\n t += timedelta(seconds=1800)\\n continue\\n\\n found = False\\n for busy in busy_slots:\\n busy_start = busy\\n busy_end = busy + timedelta(seconds=1800)\\n if busy_start <= middle <= busy_end:\\n found = True\\n break\\n if found:\\n t += timedelta(seconds=1800)\\n continue\\n\\n slots.append({\\n 'slot_start': t.strftime(\\\"%H:%M\\\"),\\n 'slot_end': (t + timedelta(seconds=1800)).strftime(\\\"%H:%M\\\")\\n })\\n t += timedelta(seconds=1800)\\n return slots\\n\\n @staticmethod\\n def is_weekend(notarius, target_day):\\n if notarius.schedule['type'] == ScheduleTypeEnum.ST_NORMAL:\\n cur_day = target_day\\n week_day = cur_day.date().isoweekday()\\n return week_day in notarius.schedule['weekends']\\n else:\\n working_days_count = notarius.schedule['working_days_count']\\n weekends_count = notarius.schedule['weekends_count']\\n cycle_len = working_days_count + weekends_count\\n start_day = datetime.strptime(notarius.schedule['start_working_day'], \\\"%Y-%m-%d\\\")\\n days_to_day_to = (target_day - start_day).days\\n if days_to_day_to < 0:\\n return True\\n cur_day = start_day + timedelta(days=int(days_to_day_to / cycle_len) * cycle_len)\\n is_working_day = True\\n cycle_i = 0\\n while cur_day <= target_day:\\n cycle_i += 1\\n if cycle_i > working_days_count + weekends_count:\\n is_working_day = True\\n cycle_i = 1\\n elif cycle_i > working_days_count:\\n is_working_day = False\\n if cur_day == target_day:\\n return is_working_day\\n cur_day += ONE_DAY\\n\\n @staticmethod\\n def get_notarius_schedule(notarius, day_from=None, day_to=None):\\n def make_day_info(day, earliest_time=None):\\n\\n return {\\n 'nearest_time': day.strftime(DocDateTimeField.FORMAT),\\n 'slots': NotariusObject.make_slots(notarius, day, earliest_time)\\n }\\n\\n days = []\\n if day_to < day_from:\\n raise Exception(u\\\"Invalid date range\\\")\\n\\n notarius_schedule = notarius.schedule\\n if notarius_schedule['type'] == ScheduleTypeEnum.ST_NORMAL:\\n cur_day = day_from\\n while cur_day < day_to:\\n week_day = cur_day.date().isoweekday()\\n if week_day not in notarius_schedule['weekends']:\\n days.append(make_day_info(cur_day, day_from))\\n cur_day += ONE_DAY\\n else:\\n working_days_count = notarius_schedule['working_days_count']\\n weekends_count = notarius_schedule['weekends_count']\\n cycle_len = working_days_count + weekends_count\\n start_day = datetime.strptime(notarius_schedule['start_working_day'], \\\"%Y-%m-%d\\\")\\n days_to_day_to = (day_from - start_day).days\\n if days_to_day_to < 0:\\n return days\\n cur_day = start_day + timedelta(days=int(days_to_day_to / cycle_len) * cycle_len)\\n is_working_day = True\\n cycle_i = 0\\n while cur_day < day_to:\\n cycle_i += 1\\n if cycle_i > working_days_count + weekends_count:\\n is_working_day = True\\n cycle_i = 1\\n elif cycle_i > working_days_count:\\n is_working_day = False\\n if cur_day >= day_from and is_working_day:\\n days.append(make_day_info(cur_day, day_from))\\n cur_day += ONE_DAY\\n\\n return days\\n\\n def make_working_hours(self):\\n if self.schedule_caption:\\n return self.schedule_caption\\n\\n if self.schedule['type'] == ScheduleTypeEnum.ST_NORMAL:\\n lunch = u\\\" с перерывом на обед с %s до %s\\\" % (self.schedule['lunch_start'], self.schedule['lunch_end']) if (\\n self.schedule.get('lunch_start', None) and self.schedule.get('lunch_end', None)) else u\\\"\\\"\\n weekends = u\\\", %s - выходной\\\" % \\\", \\\".join(day_short_name(day) for day in\\n self.schedule.get('weekends',\\n [])) if self.schedule.get('weekends',\\n None) else u\\\"\\\"\\n return u\\\"с %s до %s%s%s\\\" % (self.schedule['start_time'], self.schedule['end_time'], lunch, weekends)\\n return u\\\"%d %s через %d %s\\\" % (\\n self.schedule['working_days_count'], word_from_num(u\\\"дня\\\", self.schedule['working_days_count']),\\n self.schedule['weekends_count'], word_from_num(u\\\"дня\\\", self.schedule['weekends_count']))\\n\\n def get_api_structure(self):\\n result = {\\n 'id': self.id,\\n 'surname': self.surname,\\n 'name': self.name,\\n 'patronymic': self.patronymic,\\n\\n 'schedule_caption': self.schedule_caption,\\n 'title': self.title,\\n 'address': self.address,\\n 'region': {\\n 'code': self.region,\\n 'title': RFRegionsEnum.get_name(self.region)\\n },\\n 'metro_station': self.metro_station\\n }\\n del_null_items = lambda x: dict([(k, v) for k, v in x.items() if v is not None])\\n result = del_null_items(result)\\n schedule = NotariusObject.make_slots(self, datetime.utcnow())\\n result['working_hours'] = self.make_working_hours()\\n caption = result.get('metro_station', u\\\"\\\")\\n if caption:\\n caption = u\\\"м. %s (\\\" % caption\\n else:\\n caption = u\\\"(\\\"\\n title = u\\\"%s, \\\" % self.title if self.title else u\\\"\\\"\\n address_field = DocAddressField()\\n address_field.parse_raw_value(self.address, api_data=False)\\n caption += result['working_hours'] + u\\\") — %s\\\" % title + address_field.as_string_friendly()\\n # м. Пл.Александра Невского (с 9 до 18 по будним дням) — Новгородская ул. д.6\\n result['caption'] = caption\\n result['schedule'] = schedule\\n address_str = address_field.as_string_friendly()\\n if self.title:\\n address_str += u\\\" \\\" + self.title\\n return result\\n\\n\\nclass NotariusBookingObject(sqldb.Model):\\n __tablename__ = \\\"notarius_booking\\\"\\n\\n id = Column(String, primary_key=True, default=lambda: str(ObjectId()))\\n batch_id = Column(String, ForeignKey('doc_batch.id'), nullable=True)\\n batch = relationship(\\\"DocumentBatchDbObject\\\", uselist=False)\\n\\n owner_id = Column(Integer, ForeignKey('authuser.id'), index=True)\\n owner = relationship(\\\"AuthUser\\\", uselist=False)\\n\\n notarius_id = Column(String, ForeignKey('notarius.id'), index=True)\\n notarius = relationship(\\\"NotariusObject\\\", uselist=False)\\n\\n dt = Column(DateTime, nullable=False)\\n address = Column(Unicode, nullable=False)\\n _discarded = Column(Boolean, default=False)\\n\\n def get_api_structure(self):\\n result = {\\n 'id': self.id,\\n 'batch_id': self.batch_id,\\n 'notarius': self.notarius.get_api_structure(),\\n 'dt': self.dt.strftime(DocDateTimeField.FORMAT),\\n 'address': self.address\\n }\\n return result\\n\"\n },\n {\n \"alpha_fraction\": 0.5178396105766296,\n \"alphanum_fraction\": 0.5343015789985657,\n \"avg_line_length\": 39.73716735839844,\n \"blob_id\": \"968b05497743834700d768623da2be3e23d62d82\",\n \"content_id\": \"db4eb38a8fce2b24de50458c7781482885ce940a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 73839,\n \"license_type\": \"no_license\",\n \"max_line_length\": 172,\n \"num_lines\": 1773,\n \"path\": \"/jb_tests/test_pack/test_objects.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport StringIO\\nimport os\\n\\n# noinspection PyProtectedMember\\nfrom flask import json\\nfrom datetime import datetime, timedelta\\nfrom bson.objectid import ObjectId\\nfrom sqlalchemy.orm import make_transient\\nfrom base_test_case import BaseTestCase, authorized\\nfrom fw.auth.models import AuthUser\\nfrom fw.catalogs.models import OkvedCatalogObject\\nfrom fw.documents.address_enums import RFRegionsEnum, HouseTypeEnum, FlatTypeEnum\\nfrom fw.documents.address_enums import StreetTypeEnum\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.db_fields import PrivatePersonDbObject, CompanyDbObject, DocumentBatchDbObject, BatchDocumentDbObject\\nfrom fw.documents.enums import CompanyTypeEnum, DocumentTypeEnum, BatchStatusEnum, DocumentBatchTypeEnum, \\\\\\n IncorporationFormEnum, PersonDocumentTypeEnum, UserDocumentStatus\\nfrom fw.documents.fields.doc_fields import PrivatePerson, CompanyObject, UserDocument\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.storage.file_storage import FileStorage\\nfrom fw.storage.models import FileObject\\nfrom services.ifns.utils.process_okvad import process_okvad\\n\\n\\nclass ObjectsTestCase(BaseTestCase):\\n def import_okvad_catalog(self):\\n okved_item = OkvedCatalogObject(\\n id=str(ObjectId()),\\n name=\\\"foo\\\",\\n departments=[{\\n 'id': str(ObjectId()),\\n 'okvads': ['1', '2', '3'],\\n 'name': 'bar',\\n 'main_okvad': '1'\\n }, {\\n 'id': str(ObjectId()),\\n 'okvads': ['1', '3', '5'],\\n 'name': 'baz',\\n 'main_okvad': '5'\\n }]\\n )\\n sqldb.session.add(okved_item)\\n sqldb.session.commit()\\n\\n okved_item = OkvedCatalogObject(\\n id=str(ObjectId()),\\n name=\\\"foo2\\\",\\n departments=[{\\n 'id': str(ObjectId()),\\n 'okvads': ['11', '12', '13'],\\n 'name': 'bar2',\\n 'main_okvad': '11'\\n }, {\\n 'id': str(ObjectId()),\\n 'okvads': ['11', '13', '15'],\\n 'name': 'baz2',\\n 'main_okvad': '15'\\n }]\\n )\\n sqldb.session.add(okved_item)\\n sqldb.session.commit()\\n\\n @authorized()\\n def test_create_person_by_name_then_add_part_of_passport(self):\\n with self.app.app_context():\\n data = {\\n \\\"person\\\": json.dumps({\\n 'name': u\\\"Поликарп\\\",\\n })\\n }\\n result = self.test_client.post('/entity/person/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertIsInstance(person['name'], basestring)\\n self.assertEqual(real_person.name, u\\\"Поликарп\\\")\\n\\n data = {\\n 'person_id': unicode(real_person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'passport': {'document_type': 'internal', 'series': '4111'},\\n 'address': {\\n \\\"city_type\\\": \\\"\\\",\\n \\\"city\\\": \\\"\\\"\\n }\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n self.assertEqual(person['passport'], {'document_type': 'internal', 'series': '4111'})\\n\\n @authorized()\\n def test_try_set_empty_fields(self):\\n with self.app.app_context():\\n data = {\\n \\\"person\\\": json.dumps({\\n 'name': u\\\"Поликарп\\\"\\n })\\n }\\n result = self.test_client.post('/entity/person/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertIsInstance(person['name'], basestring)\\n self.assertEqual(real_person.name, u\\\"Поликарп\\\")\\n\\n data = {\\n 'person_id': unicode(real_person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'passport': {'document_type': 'internal', 'series': '4111'},\\n 'address': {\\n \\\"city_type\\\": \\\"\\\",\\n \\\"city\\\": \\\"\\\"\\n }\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n self.assertEqual(person['passport'], {'document_type': 'internal', 'series': '4111'})\\n self.assertEqual(person['address'], {})\\n\\n @authorized()\\n def test_create_person_null_fields(self):\\n with self.app.app_context():\\n data = {\\n \\\"person\\\": json.dumps({\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n 'passport': {'document_type': None, 'series': None, 'number': None, 'issue_date': None,\\n 'issue_depart': None, 'depart_code': None, 'citizenship': None},\\n })\\n }\\n result = self.test_client.post('/entity/person/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n real_person = PrivatePerson.db_obj_to_field(real_person).get_api_structure()\\n self.assertEqual(person, real_person)\\n\\n @authorized()\\n def test_update_person_name_declension(self):\\n with self.app.app_context():\\n data = {\\n 'name': None,\\n 'surname': None,\\n 'patronymic': None,\\n 'caption': None,\\n 'birthdate': None,\\n 'sex': None,\\n 'birthplace': None,\\n 'inn': None,\\n 'phone': None,\\n 'passport': {'document_type': 'internal', 'series': None, 'number': None, 'issue_date': None,\\n 'issue_depart': None, 'depart_code': None, 'citizenship': None},\\n 'address': {\\\"index\\\": None, \\\"region\\\": None, \\\"city\\\": None, \\\"village\\\": None, \\\"street_type\\\": None,\\n \\\"street\\\": None, \\\"house_type\\\": None, \\\"house\\\": None, \\\"building_type\\\": None, \\\"building\\\": None,\\n \\\"flat_type\\\": None, \\\"flat\\\": None},\\n 'living_address': None,\\n 'living_country_code': None,\\n 'ogrnip': None,\\n 'email': None,\\n 'spouse': None,\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data = {\\n 'person_id': unicode(person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'caption': u\\\"Труляля\\\",\\n \\\"id\\\": u\\\"53b53446a726161b1ab019c0\\\",\\n 'name': None,\\n 'surname': None,\\n 'patronymic': None,\\n 'birthdate': u\\\"2010-06-03\\\",\\n 'sex': None,\\n 'birthplace': None,\\n 'inn': None,\\n 'phone': None,\\n 'passport': {'document_type': 'internal', 'series': None, 'number': None, 'issue_date': None,\\n 'issue_depart': None, 'depart_code': None, 'citizenship': None},\\n 'address': {\\\"index\\\": None, \\\"region\\\": None, \\\"city\\\": None, \\\"village\\\": None, \\\"street_type\\\": None,\\n \\\"street\\\": None, \\\"house_type\\\": None, \\\"house\\\": None, \\\"building_type\\\": None,\\n \\\"building\\\": None, \\\"flat_type\\\": None, \\\"flat\\\": None},\\n 'living_address': None,\\n 'living_country_code': None,\\n 'ogrnip': None,\\n 'email': None,\\n 'spouse': None,\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n self.assertEqual(person['caption'], u\\\"Труляля\\\")\\n\\n @authorized()\\n def test_update_person_name(self):\\n with self.app.app_context():\\n data = {\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n simple_object = PrivatePersonDbObject.query.filter_by(id=person.id).first()\\n\\n # noinspection PyUnresolvedReferences\\n real_person = PrivatePerson.db_obj_to_field(\\n PrivatePersonDbObject.query.filter_by(id=person.id).first())\\n self.assertIsNotNone(real_person)\\n\\n data = {\\n 'person_id': unicode(person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'name': u\\\"Поликарпа\\\"\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n\\n @authorized()\\n def test_get_person_by_id(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner_id': self.user.id,\\n 'birthdate': datetime.now()\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/person/?person_id=%s_person' % unicode(person.id))\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['persons']), 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n self.assertEqual(result_data['result']['total'], 1)\\n person = result_data['result']['persons'][0]\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertEqual(real_person.name, data['name'])\\n self.assertEqual(real_person.surname, data['surname'])\\n self.assertEqual(real_person.patronymic, data['patronymic'])\\n\\n @authorized()\\n def test_get_all_persons(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data2 = {\\n 'name': u\\\"Поликарп2\\\",\\n 'surname': u\\\"Шариков2\\\",\\n 'patronymic': u\\\"Поликарпович2\\\",\\n '_owner_id': self.user.id\\n }\\n person2 = PrivatePersonDbObject(**data2)\\n sqldb.session.add(person2)\\n sqldb.session.commit()\\n\\n data3 = {\\n 'name': u\\\"Поликарп3\\\",\\n 'surname': u\\\"Шариков3\\\",\\n 'patronymic': u\\\"Поликарпович3\\\",\\n '_owner_id': self.user.id\\n }\\n person3 = PrivatePersonDbObject(**data3)\\n sqldb.session.add(person3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/person/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['persons']), 3)\\n self.assertEqual(result_data['result']['count'], 3)\\n self.assertEqual(result_data['result']['total'], 3)\\n person = result_data['result']['persons'][0]\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertEqual(real_person.name, data['name'])\\n self.assertEqual(real_person.surname, data['surname'])\\n self.assertEqual(real_person.patronymic, data['patronymic'])\\n\\n @authorized()\\n def test_get_all_persons_limit_offset(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data2 = {\\n 'name': u\\\"Поликарп2\\\",\\n 'surname': u\\\"Шариков2\\\",\\n 'patronymic': u\\\"Поликарпович2\\\",\\n '_owner_id': self.user.id\\n }\\n person2 = PrivatePersonDbObject(**data2)\\n sqldb.session.add(person2)\\n sqldb.session.commit()\\n\\n data3 = {\\n 'name': u\\\"Поликарп3\\\",\\n 'surname': u\\\"Шариков3\\\",\\n 'patronymic': u\\\"Поликарпович3\\\",\\n '_owner_id': self.user.id\\n }\\n person3 = PrivatePersonDbObject(**data3)\\n sqldb.session.add(person3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/person/?offset=1&count=1')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['persons']), 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n self.assertEqual(result_data['result']['total'], 3)\\n person = result_data['result']['persons'][0]\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertEqual(real_person.name, data2['name'])\\n self.assertEqual(real_person.surname, data2['surname'])\\n self.assertEqual(real_person.patronymic, data2['patronymic'])\\n\\n @authorized()\\n def test_update_person(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner_id': self.user.id\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data = {\\n 'person_id': unicode(person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'name': u\\\"Иван\\\",\\n 'surname': u\\\"Иванов\\\",\\n 'patronymic': u\\\"Иванович\\\",\\n 'birthdate': u'2014-02-18'\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertEqual(real_person.name, u\\\"Иван\\\")\\n self.assertEqual(real_person.surname, u\\\"Иванов\\\")\\n self.assertEqual(real_person.patronymic, u\\\"Иванович\\\")\\n # noinspection PyUnresolvedReferences\\n person_doc = PrivatePerson.db_obj_to_field(real_person)\\n self.assertEqual(unicode(person_doc.name), u\\\"Иван\\\")\\n\\n @authorized()\\n def test_update_person(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n 'phone': u\\\"+79001231313\\\",\\n '_owner_id': self.user.id\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data = {\\n 'person_id': unicode(person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'name': u\\\"Иван\\\",\\n 'surname': u\\\"Иванов\\\",\\n 'patronymic': u\\\"Иванович\\\",\\n 'phone': u\\\"\\\",\\n 'birthdate': u'2014-02-18'\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n person = result_data['result']\\n\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertEqual(real_person.name, u\\\"Иван\\\")\\n self.assertEqual(real_person.surname, u\\\"Иванов\\\")\\n self.assertEqual(real_person.patronymic, u\\\"Иванович\\\")\\n self.assertEqual(real_person.phone, None)\\n # noinspection PyUnresolvedReferences\\n person_doc = PrivatePerson.db_obj_to_field(real_person)\\n self.assertEqual(unicode(person_doc.name), u\\\"Иван\\\")\\n\\n @authorized()\\n def test_get_removed_person_by_id(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n 'deleted': True\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/person/?person_id=%s_person' % unicode(person.id))\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 404)\\n\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n error = result_data['error']\\n self.assertEqual(error['code'], 207)\\n\\n @authorized()\\n def test_get_persons_after_removal_some_of_them(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n 'deleted': True,\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data2 = {\\n 'name': u\\\"Поликарп2\\\",\\n 'surname': u\\\"Шариков2\\\",\\n 'patronymic': u\\\"Поликарпович2\\\",\\n '_owner_id': self.user.id\\n }\\n person2 = PrivatePersonDbObject(**data2)\\n sqldb.session.add(person2)\\n sqldb.session.commit()\\n\\n data3 = {\\n 'name': u\\\"Поликарп3\\\",\\n 'surname': u\\\"Шариков3\\\",\\n 'patronymic': u\\\"Поликарпович3\\\",\\n 'deleted': True,\\n '_owner_id': self.user.id\\n }\\n person3 = PrivatePersonDbObject(**data3)\\n sqldb.session.add(person3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/person/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['persons']), 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n self.assertEqual(result_data['result']['total'], 1)\\n person = result_data['result']['persons'][0]\\n self.assertIn('id', person)\\n person_id, _type = person['id'].split(\\\"_\\\")\\n real_person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertIsNotNone(real_person)\\n self.assertEqual(person, PrivatePerson.db_obj_to_field(real_person).get_api_structure())\\n self.assertEqual(real_person.name, data2['name'])\\n self.assertEqual(real_person.surname, data2['surname'])\\n self.assertEqual(real_person.patronymic, data2['patronymic'])\\n\\n @authorized()\\n def test_delete_person(self):\\n with self.app.app_context():\\n data_person = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data_person)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/entity/person/remove/', data={\\n 'person_id': unicode(person.id) + \\\"_person\\\"\\n })\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertNotIn('error', result_data)\\n self.assertIn('result', result_data)\\n self.assertTrue(result_data['result'])\\n\\n @authorized()\\n def test_create_company(self):\\n with self.app.app_context():\\n data = {\\n \\\"company\\\": json.dumps({\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\"\\n })\\n }\\n result = self.test_client.post('/entity/company/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n company = result_data['result']\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, u\\\"ООО Ромашка\\\")\\n self.assertEqual(real_company.inn, \\\"781108730780\\\")\\n\\n @authorized()\\n def test_create_foreign_company(self):\\n with self.app.app_context():\\n data = {\\n \\\"company\\\": json.dumps({\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n 'company_type': CompanyTypeEnum.CT_FOREIGN\\n })\\n }\\n result = self.test_client.post('/entity/company/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n company = result_data['result']\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, u\\\"ООО Ромашка\\\")\\n self.assertEqual(real_company.inn, \\\"781108730780\\\")\\n\\n @authorized()\\n def test_create_company_person_as_empty_string(self):\\n with self.app.app_context():\\n data = {\\n \\\"company\\\": json.dumps({\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n 'general_manager': \\\"\\\",\\n 'registration_date': u\\\"\\\"\\n })\\n }\\n result = self.test_client.post('/entity/company/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n company = result_data['result']\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, u\\\"ООО Ромашка\\\")\\n self.assertEqual(real_company.inn, \\\"781108730780\\\")\\n\\n @authorized()\\n def test_create_company_with_general_manager(self):\\n with self.app.app_context():\\n person = PrivatePersonDbObject(\\n name=u\\\"Поликарп\\\",\\n surname=u\\\"Шариков\\\",\\n patronymic=u\\\"Поликарпович\\\",\\n _owner=self.user,\\n birthdate=datetime.now()\\n )\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n data = {\\n \\\"company\\\": json.dumps({\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n 'general_manager': \\\"%s_person\\\" % person.id,\\n 'registration_date': u\\\"\\\"\\n })\\n }\\n result = self.test_client.post('/entity/company/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n company = result_data['result']\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, u\\\"ООО Ромашка\\\")\\n self.assertEqual(real_company.inn, \\\"781108730780\\\")\\n\\n @authorized()\\n def test_update_company(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n data = {\\n 'company_id': company.id + \\\"_company\\\",\\n 'company': json.dumps({\\n 'full_name': u\\\"ООО Прогресс\\\",\\n 'inn': \\\"781108730780\\\"\\n })\\n }\\n result = self.test_client.post('/entity/company/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n company = result_data['result']\\n self.assertEqual(company['full_name'], u\\\"ООО Прогресс\\\")\\n self.assertEqual(company['inn'], \\\"781108730780\\\")\\n\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyObject.db_obj_to_field(CompanyDbObject.query.filter_by(id=company_id).first())\\n self.assertEqual(unicode(real_company.full_name), u\\\"ООО Прогресс\\\")\\n self.assertEqual(real_company.inn, \\\"781108730780\\\")\\n\\n @authorized()\\n def test_get_company_by_id(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/?company_id=%s' % company.id + \\\"_company\\\")\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['companies']), 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n self.assertEqual(result_data['result']['total'], 1)\\n company = result_data['result']['companies'][0]\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, data['full_name'])\\n self.assertEqual(real_company.inn, data['inn'])\\n\\n @authorized()\\n def test_get_all_companies(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка1\\\",\\n 'inn': '7826120135',\\n 'kpp': '781701001',\\n 'ogrn': '1027810273754',\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n data2 = {\\n 'full_name': u\\\"ООО Ромашка2\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company2 = CompanyDbObject(**data2)\\n sqldb.session.add(company2)\\n sqldb.session.commit()\\n\\n data3 = {\\n 'full_name': u\\\"ООО Ромашка3\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company3 = CompanyDbObject(**data3)\\n sqldb.session.add(company3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['companies']), 3)\\n self.assertEqual(result_data['result']['count'], 3)\\n self.assertEqual(result_data['result']['total'], 3)\\n company = result_data['result']['companies'][0]\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).order_by(CompanyDbObject.id.asc()).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, data['full_name'])\\n self.assertEqual(real_company.inn, str(data['inn']))\\n\\n @authorized()\\n def test_get_all_companies_limit_offset(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка1\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n data2 = {\\n 'full_name': u\\\"ООО Ромашка2\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company2 = CompanyDbObject(**data2)\\n sqldb.session.add(company2)\\n sqldb.session.commit()\\n\\n data3 = {\\n 'full_name': u\\\"ООО Ромашка3\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company3 = CompanyDbObject(**data3)\\n sqldb.session.add(company3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/?offset=1&count=1')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['companies']), 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n self.assertEqual(result_data['result']['total'], 3)\\n company = result_data['result']['companies'][0]\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, data2['full_name'])\\n self.assertEqual(real_company.inn, data2['inn'])\\n\\n @authorized()\\n def test_delete_company(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка1\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/entity/company/remove/', data={\\n 'company_id': company.id + \\\"_company\\\"\\n })\\n company = CompanyDbObject.query.filter_by(id=company.id).first()\\n self.assertEqual(company.deleted, True)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertNotIn('error', result_data)\\n self.assertIn('result', result_data)\\n self.assertTrue(result_data['result'])\\n\\n @authorized()\\n def test_get_removed_company_by_id(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка1\\\",\\n 'inn': \\\"781108730780\\\",\\n 'deleted': True\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/?company_id=%s' % company.id + \\\"_company\\\")\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n @authorized()\\n def test_get_companies_after_removal_some_of_them(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка1\\\",\\n 'inn': \\\"781108730780\\\",\\n 'deleted': True,\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n data2 = {\\n 'full_name': u\\\"ООО Ромашка2\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company2 = CompanyDbObject(**data2)\\n sqldb.session.add(company2)\\n sqldb.session.commit()\\n\\n data3 = {\\n 'full_name': u\\\"ООО Ромашка3\\\",\\n 'inn': \\\"781108730780\\\",\\n 'deleted': True,\\n '_owner_id': self.user.id\\n }\\n company3 = CompanyDbObject(**data3)\\n sqldb.session.add(company3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['companies']), 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n self.assertEqual(result_data['result']['total'], 1)\\n company = result_data['result']['companies'][0]\\n self.assertIn('id', company)\\n company_id, _type = company['id'].split('_')\\n real_company = CompanyDbObject.query.filter_by(id=company_id).first()\\n self.assertIsNotNone(real_company)\\n self.assertEqual(company, CompanyObject.db_obj_to_field(real_company).get_api_structure())\\n self.assertEqual(real_company.full_name, data2['full_name'])\\n self.assertEqual(real_company.inn, data2['inn'])\\n\\n @authorized()\\n def test_not_my_person(self):\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner': some_user\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/person/?person_id=%s_person' % unicode(person.id))\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n result = self.test_client.get('/entity/person/')\\n\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['persons']), 0)\\n\\n @authorized()\\n def test_update_not_my_person(self):\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner': some_user\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data = {\\n 'person_id': unicode(person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'caption': u\\\"Труляля\\\",\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n @authorized()\\n def test_remove_not_my_person(self):\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner': some_user\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/entity/person/remove/', data={\\n 'person_id': unicode(person.id) + \\\"_person\\\"\\n })\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n self.assertIn('error', result_data)\\n self.assertNotIn('result', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n @authorized()\\n def test_not_my_company(self):\\n with self.app.app_context():\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n data = {\\n 'full_name': u\\\"ООО Лютик\\\",\\n '_owner': some_user\\n }\\n\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/?company_id=%s_company' % company.id)\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n result = self.test_client.get('/entity/company/')\\n\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['companies']), 0)\\n\\n @authorized()\\n def test_update_not_my_company(self):\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Лютик\\\",\\n '_owner': some_user\\n }\\n\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n data = {\\n 'company_id': company.id + \\\"_company\\\",\\n 'company': json.dumps({\\n 'full_name': u\\\"Труляля\\\",\\n })\\n }\\n result = self.test_client.post('/entity/company/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n @authorized()\\n def test_delete_not_my_company(self):\\n with self.app.app_context():\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n data = {\\n 'full_name': u\\\"ООО Лютик\\\",\\n '_owner': some_user\\n }\\n\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/entity/company/remove/', data={\\n 'company_id': company.id + \\\"_company\\\"\\n })\\n self.assertEqual(result.status_code, 404)\\n result_data = json.loads(result.data)\\n self.assertIn('error', result_data)\\n self.assertNotIn('result', result_data)\\n self.assertEqual(result_data['error']['code'], 207)\\n\\n @authorized()\\n def test_update_company_set_not_mine_person(self):\\n with self.app.app_context():\\n data = {\\n 'full_name': u\\\"ООО Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n company = CompanyDbObject(**data)\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n real_company = CompanyObject.db_obj_to_field(CompanyDbObject.query.filter_by(id=company.id).first())\\n self.assertIsNotNone(real_company)\\n\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner': some_user\\n }\\n\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n data = {\\n 'company_id': company.id + \\\"_company\\\",\\n 'company': json.dumps({\\n 'full_name': u\\\"ООО Прогресс\\\",\\n 'inn': \\\"781108730780\\\",\\n 'general_manager': {\\n \\\"id\\\": unicode(person.id)\\n }\\n })\\n }\\n result = self.test_client.post('/entity/company/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 400)\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 5)\\n\\n @authorized()\\n def test_update_person_set_not_mine_person(self):\\n with self.app.app_context():\\n data = {\\n 'name': u\\\"Ромашка\\\",\\n 'inn': \\\"781108730780\\\",\\n '_owner_id': self.user.id\\n }\\n my_person = PrivatePersonDbObject(**data)\\n sqldb.session.add(my_person)\\n sqldb.session.commit()\\n\\n some_user = AuthUser()\\n sqldb.session.add(some_user)\\n sqldb.session.commit()\\n data = {\\n 'name': u\\\"Поликарп\\\",\\n 'surname': u\\\"Шариков\\\",\\n 'patronymic': u\\\"Поликарпович\\\",\\n '_owner': some_user\\n }\\n\\n not_mine_person = PrivatePersonDbObject(**data)\\n sqldb.session.add(not_mine_person)\\n sqldb.session.commit()\\n\\n data = {\\n 'person_id': unicode(my_person.id) + \\\"_person\\\",\\n 'person': json.dumps({\\n 'name': u\\\"ООО Прогресс\\\",\\n 'inn': \\\"781108730780\\\",\\n 'spouse': {\\n \\\"id\\\": unicode(not_mine_person.id)\\n }\\n })\\n }\\n result = self.test_client.post('/entity/person/update/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 400)\\n result_data = json.loads(result.data)\\n self.assertNotIn('result', result_data)\\n self.assertIn('error', result_data)\\n self.assertEqual(result_data['error']['code'], 5)\\n\\n @authorized()\\n def test_get_batch_status(self):\\n batch_db = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n _owner=self.user\\n )\\n sqldb.session.add(batch_db)\\n sqldb.session.commit()\\n batch_id = batch_db.id\\n\\n result = self.test_client.get('/batch/status/?batch_id=%s' % batch_id)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIn('result', data)\\n self.assertEqual(data['result'], {\\n u'id': batch_id,\\n u'batch_type': u'llc',\\n u'creation_date': batch_db.creation_date.strftime('%Y-%m-%dT%H:%M:%S'),\\n u\\\"name\\\": u\\\"Создание ООО\\\",\\n u\\\"status\\\": u'new',\\n u\\\"paid\\\": \\\"false\\\"\\n })\\n\\n @authorized()\\n def test_get_companies_without_copies(self):\\n company_founder = CompanyDbObject(**{\\n \\\"_owner_id\\\": self.user.id,\\n \\\"ogrn\\\": \\\"1234567890123\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"kpp\\\": \\\"999999999\\\",\\n \\\"general_manager_caption\\\": u\\\"генеральный директор\\\",\\n \\\"incorporation_form\\\": IncorporationFormEnum.IF_LLC,\\n \\\"full_name\\\": u\\\"образовательное учреждение дополнительного образования детей специализированная детско-юношеская спортивная школа олимпийского резерва по боксу\\\",\\n \\\"short_name\\\": u\\\"Бокс\\\",\\n \\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 123131,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Седова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"2\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"2\\\",\\n },\\n \\\"phone\\\": \\\"+7(812)1234567\\\"\\n })\\n sqldb.session.add(company_founder)\\n sqldb.session.commit()\\n id1 = company_founder.id\\n\\n company_founder2 = CompanyDbObject(**{\\n \\\"_owner_id\\\": self.user.id,\\n \\\"ogrn\\\": \\\"1234567890123\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"kpp\\\": \\\"999999999\\\",\\n \\\"general_manager_caption\\\": u\\\"генеральный директор\\\",\\n \\\"incorporation_form\\\": IncorporationFormEnum.IF_LLC,\\n \\\"full_name\\\": u\\\"образовательное учреждение дополнительного образования детей специализированная детско-юношеская спортивная школа олимпийского резерва по боксу\\\",\\n \\\"short_name\\\": u\\\"Бокс\\\",\\n \\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 123131,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Седова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"2\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"2\\\",\\n },\\n \\\"phone\\\": \\\"+7(812)1234567\\\"\\n })\\n sqldb.session.add(company_founder2)\\n sqldb.session.commit()\\n id2 = company_founder2.id\\n\\n sqldb.session.expunge(company_founder)\\n make_transient(company_founder)\\n company1_copy = company_founder\\n company1_copy.id = None\\n sqldb.session.add(company1_copy)\\n company1_copy._copy = CompanyDbObject.query.filter_by(id=id1).first()\\n sqldb.session.commit()\\n\\n sqldb.session.expunge(company_founder2)\\n make_transient(company_founder2)\\n company2_copy = company_founder2\\n company2_copy.id = None\\n sqldb.session.add(company2_copy)\\n company2_copy._copy = CompanyDbObject.query.filter_by(id=id2).first()\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/entity/company/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['companies']), 2)\\n self.assertEqual(result_data['result']['count'], 2)\\n self.assertEqual(result_data['result']['total'], 2)\\n person = result_data['result']['companies'][0]\\n self.assertIn(person['id'].split('_')[0], (id1, id2))\\n person = result_data['result']['companies'][1]\\n self.assertIn(person['id'].split('_')[0], (id1, id2))\\n\\n @authorized()\\n def test_get_persons_without_copies(self):\\n founder_person = PrivatePersonDbObject(**{\\n \\\"_owner_id\\\": self.user.id,\\n \\\"name\\\": u\\\"Прокл\\\",\\n \\\"surname\\\": u\\\"Поликарпов\\\",\\n \\\"patronymic\\\": u\\\"Поликарпович\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"birthdate\\\": datetime.now() - timedelta(days=365 * 30),\\n \\\"birthplace\\\": u\\\"Россия, деревня Гадюкино\\\",\\n \\\"passport\\\": {\\n \\\"document_type\\\": PersonDocumentTypeEnum.PD_INTERNAL,\\n \\\"series\\\": u\\\"1123\\\",\\n \\\"number\\\": u\\\"192837\\\",\\n \\\"issue_date\\\": datetime.now() - timedelta(days=365 * 14),\\n \\\"issue_depart\\\": u\\\"УМВД Гадюкинского района Гадюкинской области\\\",\\n \\\"depart_code\\\": u\\\"111987\\\"\\n },\\n \\\"ogrnip\\\": \\\"123456789012345\\\",\\n \\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198259,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Тамбасова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"38\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"70\\\",\\n },\\n \\\"caption\\\": u\\\"Сантехник\\\",\\n \\\"phone\\\": \\\"+79210001122\\\",\\n \\\"email\\\": \\\"somebody@domain.zz\\\",\\n \\\"living_country_code\\\": 3,\\n \\\"living_address\\\": u\\\"г. Санкт-Петербург, д. Гадюкино, бульвар Мотоциклистов казарма 4, кв. 705\\\"\\n })\\n sqldb.session.add(founder_person)\\n sqldb.session.commit()\\n founder_person_id = founder_person.id\\n\\n founder_person2 = PrivatePersonDbObject(**{\\n \\\"_owner_id\\\": self.user.id,\\n \\\"name\\\": u\\\"Прокл\\\",\\n \\\"surname\\\": u\\\"Поликарпов\\\",\\n \\\"patronymic\\\": u\\\"Поликарпович\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"birthdate\\\": datetime.now() - timedelta(days=365 * 30),\\n \\\"birthplace\\\": u\\\"Россия, деревня Гадюкино\\\",\\n \\\"passport\\\": {\\n \\\"document_type\\\": PersonDocumentTypeEnum.PD_INTERNAL,\\n \\\"series\\\": u\\\"1123\\\",\\n \\\"number\\\": u\\\"192837\\\",\\n \\\"issue_date\\\": datetime.now() - timedelta(days=365 * 14),\\n \\\"issue_depart\\\": u\\\"УМВД Гадюкинского района Гадюкинской области\\\",\\n \\\"depart_code\\\": u\\\"111987\\\"\\n },\\n \\\"ogrnip\\\": \\\"123456789012345\\\",\\n \\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198259,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Тамбасова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"38\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"70\\\",\\n },\\n \\\"caption\\\": u\\\"Сантехник\\\",\\n \\\"phone\\\": \\\"+79210001122\\\",\\n \\\"email\\\": \\\"somebody@domain.zz\\\",\\n \\\"living_country_code\\\": 3,\\n \\\"living_address\\\": u\\\"г. Санкт-Петербург, д. Гадюкино, бульвар Мотоциклистов казарма 4, кв. 705\\\"\\n })\\n sqldb.session.add(founder_person2)\\n sqldb.session.commit()\\n\\n founder_person2_id = founder_person2.id\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False,\\n deleted=True\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n person1_copy = PrivatePersonDbObject.query.filter_by(id=founder_person_id).first()\\n sqldb.session.expunge(person1_copy)\\n make_transient(person1_copy)\\n person1_copy.id = None\\n person1_copy._copy = founder_person.id\\n person1_copy._batch = new_batch\\n sqldb.session.add(person1_copy)\\n sqldb.session.commit()\\n\\n founder_person = PrivatePersonDbObject.query.filter_by(id=founder_person_id).first()\\n\\n person2_copy = PrivatePersonDbObject.query.filter_by(id=founder_person2_id).first()\\n sqldb.session.expunge(person2_copy)\\n make_transient(person2_copy)\\n person2_copy.id = None\\n person2_copy._copy = founder_person2.id\\n person2_copy._batch = new_batch\\n sqldb.session.add(person2_copy)\\n sqldb.session.commit()\\n founder_person2 = PrivatePersonDbObject.query.filter_by(id=founder_person2_id).first()\\n\\n result = self.test_client.get('/entity/person/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n self.assertEqual(len(result_data['result']['persons']), 2)\\n self.assertEqual(result_data['result']['count'], 2)\\n self.assertEqual(result_data['result']['total'], 2)\\n person = result_data['result']['persons'][0]\\n self.assertIn(person['id'].split('_')[0], (unicode(founder_person.id), unicode(founder_person2.id)))\\n person = result_data['result']['persons'][1]\\n self.assertIn(person['id'].split('_')[0], (unicode(founder_person.id), unicode(founder_person2.id)))\\n\\n @authorized()\\n def test_upload_file(self):\\n strIO = StringIO.StringIO()\\n content = \\\"File content\\\"\\n strIO.write(content)\\n strIO.seek(0)\\n result = self.test_client.post('/storage/put/', data={\\n \\\"file\\\": (strIO, 'filename.pdf')\\n })\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('id', result_data['result'])\\n self.assertIn('size', result_data['result'])\\n self.assertIn('url', result_data['result'])\\n self.assertEqual(result_data['result']['size'], len(content))\\n f_obj = FileObject.query.filter_by(id=result_data['result']['id']).first()\\n self.assertIsNotNone(f_obj)\\n self.assertEqual(f_obj._owner, self.user)\\n url = FileStorage.get_url(f_obj, self.config)\\n self.assertTrue(url.endswith('/filename.pdf'), url)\\n self.assertIn(unicode(f_obj.id), url)\\n path = FileStorage.get_path(f_obj, self.config)\\n self.assertTrue(os.path.exists(path), u\\\"File %s does not exist\\\" % path)\\n with open(path, 'r') as f:\\n self.assertEqual(f.read(), content)\\n\\n def test_get_okvad_catalog(self):\\n self.import_okvad_catalog()\\n result = self.test_client.get('/get_okvad_catalog/')\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertEqual(len(result_data['result']), 2)\\n\\n o1 = result_data['result'][0]\\n o2 = result_data['result'][1]\\n\\n del o1['_id']\\n del o1['departments'][0]['_id']\\n del o1['departments'][1]['_id']\\n del o2['_id']\\n del o2['departments'][0]['_id']\\n del o2['departments'][1]['_id']\\n self.maxDiff = None\\n self.assertEqual(o1, {u'name': u'foo', u'departments': [{u'name': u'bar', u'main_okvad': u'1'},\\n {u'name': u'baz', u'main_okvad': u'5'}]})\\n self.assertEqual(o2, {u'name': u'foo2', u'departments': [{u'name': u'bar2', u'main_okvad': u'11'},\\n {u'name': u'baz2', u'main_okvad': u'15'}]})\\n\\n @authorized()\\n def test_send_paid_docs(self):\\n data = {\\n 'name': u\\\"Нейм\\\",\\n 'surname': u\\\"Сёрнейм\\\",\\n 'inn': \\\"781108730780\\\",\\n 'phone': \\\"+79110010203\\\",\\n 'email': \\\"test@test.email\\\",\\n '_owner_id': self.user.id\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n person_id = person.id\\n\\n new_company = CompanyDbObject(**dict({\\n \\\"_owner_id\\\": self.user.id,\\n \\\"ogrn\\\": \\\"1234567890123\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"full_name\\\": u\\\"Протон\\\",\\n \\\"short_name\\\": u\\\"Про\\\",\\n \\\"kpp\\\": \\\"999999999\\\",\\n \\\"company_type\\\": CompanyTypeEnum.CT_RUSSIAN,\\n \\\"general_manager\\\": {\\n \\\"_id\\\" : person.id,\\n \\\"type\\\": \\\"person\\\"\\n }})\\n )\\n\\n sqldb.session.add(new_company)\\n sqldb.session.commit()\\n new_company_id = new_company.id\\n\\n data = {\\n u\\\"full_name\\\": u\\\"образовательное учреждение дополнительного образования детей специализированная \\\"\\n u\\\"детско-юношеская спортивная школа олимпийского резерва по боксу\\\",\\n u\\\"short_name\\\": u\\\"Парампампам\\\",\\n u\\\"doc_date\\\": datetime.now(),\\n u\\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 123131,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Седова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"2\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"2\\\",\\n \\\"ifns\\\": 1234\\n },\\n u\\\"selected_secretary\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": new_company_id\\n },\\n }\\n new_user_doc = UserDocument()\\n new_user_doc.parse_raw_value(dict(document_type=DocumentTypeEnum.DT_GARANT_LETTER_SUBARENDA, data=data), None,\\n False)\\n doc_list = [\\n new_user_doc.db_value()\\n ]\\n\\n file1_id = FileObject(file_path='path', file_name='f.pdf', _owner=self.user)\\n sqldb.session.add(file1_id)\\n sqldb.session.commit()\\n\\n file2_id = FileObject(file_path='path', file_name='f2.pdf', _owner=self.user)\\n sqldb.session.add(file2_id)\\n sqldb.session.commit()\\n\\n new_batch_db_object = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n status=BatchStatusEnum.BS_NEW,\\n _owner=self.user,\\n paid=True,\\n data=data,\\n # rendered_docs=[{\\n # 'document_type': DocumentTypeEnum.DT_ACCOUNTANT_ORDER,\\n # 'file_link': 'http://asdfasdfasdfasdfasdf.ru/a.pdf',\\n # 'caption': u'Приказ о приёме на работу бухгалтера',\\n # 'file_id': file1_id.id,\\n # 'document_id': ObjectId(),\\n # 'status': UserDocumentStatus.DS_RENDERED\\n # }, {\\n # 'document_type': DocumentTypeEnum.DT_ARTICLES,\\n # 'file_link': 'http://asdfhjklasdhfsf.ru/b.pdf',\\n # 'caption': u'Устав',\\n # 'file_id': file2_id.id,\\n # 'document_id': ObjectId(),\\n # 'status': UserDocumentStatus.DS_RENDERED\\n # }]\\n )\\n sqldb.session.add(new_batch_db_object)\\n sqldb.session.commit()\\n\\n BatchManager.send_batch_docs_to_user(new_batch_db_object.id, self.config)\\n\\n self.assertEqual(len(self.mailer.mails), 1)\\n self.assertEqual(self.mailer.mails[0]['message']['subject'], u'Документы для регистрации ООО «Парампампам»')\\n\\n @authorized()\\n def test_create_batch(self):\\n data = {\\n \\\"batch_type\\\": DocumentBatchTypeEnum.DBT_TEST_TYPE\\n }\\n result = self.test_client.post('/batch/create/', data=data)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n self.assertEqual(DocumentBatchDbObject.query.count(), 1)\\n batch = DocumentBatchDbObject.query.first()\\n self.assertEqual(batch.status, BatchStatusEnum.BS_NEW)\\n self.assertEqual(batch._owner, self.user)\\n self.assertEqual(batch.batch_type, DocumentBatchTypeEnum.DBT_TEST_TYPE)\\n self.assertIsNotNone(batch.creation_date)\\n self.assertIsNone(batch.finalisation_date)\\n self.assertEqual(batch.deleted, False)\\n self.assertEqual(batch.data, {})\\n self.assertIsNone(batch.error_info)\\n self.assertIsNone(batch.result_fields)\\n self.assertIsNone(batch._metadata)\\n self.assertIsNone(batch.pay_info)\\n self.assertEqual(batch.paid, False)\\n self.assertIsNone(batch.last_change_dt)\\n\\n self.assertEqual(BatchDocumentDbObject.query.count(), 0)\\n\\n @authorized()\\n def test_get_new_batch(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n self.assertIn('total', result_data['result'])\\n self.assertIn('count', result_data['result'])\\n self.assertIn('batches', result_data['result'])\\n\\n self.assertEqual(result_data['result']['total'], 1)\\n self.assertEqual(result_data['result']['count'], 1)\\n\\n batches = result_data['result']['batches']\\n\\n self.assertEqual(len(batches), 1)\\n\\n self.assertIn('creation_date', batches[0])\\n del batches[0]['creation_date']\\n self.assertEqual(batches[0], {\\n u'batch_type': DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n u'data': {},\\n u'id': new_batch.id,\\n u'paid': u'false',\\n u'status': UserDocumentStatus.DS_NEW\\n })\\n\\n @authorized()\\n def test_get_batches_2_of_3(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n new_batch2 = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch2)\\n sqldb.session.commit()\\n\\n new_batch3 = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch3)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/batch/?count=2&offset=1')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n self.assertIn('total', result_data['result'])\\n self.assertIn('count', result_data['result'])\\n self.assertIn('batches', result_data['result'])\\n\\n self.assertEqual(result_data['result']['total'], 3)\\n self.assertEqual(result_data['result']['count'], 2)\\n\\n batches = result_data['result']['batches']\\n\\n self.assertEqual(len(batches), 2)\\n\\n self.assertIn('creation_date', batches[0])\\n self.assertIn('creation_date', batches[1])\\n\\n del batches[0]['creation_date']\\n del batches[1]['creation_date']\\n\\n self.assertEqual(batches[0], {\\n u'batch_type': DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n u'data': {},\\n u'id': new_batch2.id,\\n u'paid': u'false',\\n u'status': UserDocumentStatus.DS_NEW\\n })\\n\\n self.assertEqual(batches[1], {\\n u'batch_type': DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n u'data': {},\\n u'id': new_batch.id,\\n u'paid': u'false',\\n u'status': UserDocumentStatus.DS_NEW\\n })\\n\\n @authorized()\\n def test_get_deleted_batch(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False,\\n deleted=True\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 404)\\n\\n result = self.test_client.get('/batch/')\\n self.assertIsNotNone(result)\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n self.assertIn('total', result_data['result'])\\n self.assertIn('count', result_data['result'])\\n self.assertIn('batches', result_data['result'])\\n\\n self.assertEqual(result_data['result']['total'], 0)\\n self.assertEqual(result_data['result']['count'], 0)\\n\\n batches = result_data['result']['batches']\\n\\n self.assertEqual(len(batches), 0)\\n\"\n },\n {\n \"alpha_fraction\": 0.5515342354774475,\n \"alphanum_fraction\": 0.5546813607215881,\n \"avg_line_length\": 32.01298522949219,\n \"blob_id\": \"f8dd9faa625735d546e14f254d7a81346ad5c057\",\n \"content_id\": \"f710a72a216a73d2bfa1b67ec1c315f86a3a6610\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2542,\n \"license_type\": \"no_license\",\n \"max_line_length\": 151,\n \"num_lines\": 77,\n \"path\": \"/app/services/ifns/utils/process_okvad.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport json\\nimport os\\nfrom time import time\\nfrom bson.objectid import ObjectId\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.catalogs.models import OkvadObject\\n\\n\\ndef process_okvad():\\n with open(os.path.normpath(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../data/okvad.json'))), 'r') as f:\\n okvad_data = json.loads(f.read())\\n\\n with open(os.path.normpath(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../data/okvad_nalog_eshn.txt'))),\\n 'r') as f:\\n eshn_okvads = filter(lambda x: x, [i.strip() for i in f.read().strip().split('\\\\n')])\\n\\n with open(os.path.normpath(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../data/okvad_nalog_general.txt'))),\\n 'r') as f:\\n gen_okvads = filter(lambda x: x, [i.strip() for i in f.read().strip().split('\\\\n')])\\n\\n print(\\\"a\\\")\\n OkvadObject.query.delete()\\n sqldb.session.commit()\\n print(\\\"b\\\")\\n\\n PARENTS = {}\\n for s in okvad_data:\\n okved = s[\\\"okved\\\"]\\n caption = s[\\\"name\\\"]\\n parent = s.get(\\\"parent_okved\\\", None)\\n if okved in eshn_okvads:\\n nalog = 'eshn'\\n elif okved in gen_okvads:\\n nalog = 'general'\\n else:\\n nalog = 'usn'\\n\\n t = time()\\n new_ok = OkvadObject(\\n id=str(ObjectId()),\\n okved=okved,\\n caption=caption,\\n nalog=nalog,\\n parent=parent\\n )\\n sqldb.session.add(new_ok)\\n sqldb.session.commit()\\n print(time() - t)\\n item_id = new_ok.id\\n PARENTS[okved] = item_id\\n print(\\\"c\\\")\\n\\n for obj in OkvadObject.query.filter():\\n if obj.parent and len(obj.parent) > 15:\\n continue\\n if obj.parent:\\n obj_parent = obj.parent\\n if (len(obj_parent) > 1) and (len(obj_parent) < 9) and len(\\n filter(lambda c: c == '.' or c.isdigit(), obj_parent)) == len(obj_parent) and obj_parent[0].isdigit() and obj_parent[-1].isdigit():\\n obj_parent = obj_parent[:2]\\n\\n obj.parent = PARENTS[obj_parent]\\n sqldb.session.commit()\\n print(\\\"d\\\")\\n\\n for okvad in eshn_okvads:\\n if not OkvadObject.query.filter_by(okved=okvad).scalar():\\n print(u\\\"Invalid okved in eshn okvads: %s\\\" % okvad)\\n\\n for okvad in gen_okvads:\\n if not OkvadObject.query.filter_by(okved=okvad).scalar():\\n print(u\\\"Invalid okved in general okvads: %s\\\" % okvad)\\n\\n\\nif __name__ == \\\"__main__\\\":\\n process_okvad()\\n\"\n },\n {\n \"alpha_fraction\": 0.45840901136398315,\n \"alphanum_fraction\": 0.46047669649124146,\n \"avg_line_length\": 53.14372253417969,\n \"blob_id\": \"92ca1ea33b8d2be070600a875af11cd24ade1d9f\",\n \"content_id\": \"fbe590b59d8cb28c38c3d4dde03059bb28183fdb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 35943,\n \"license_type\": \"no_license\",\n \"max_line_length\": 161,\n \"num_lines\": 661,\n \"path\": \"/app/manage_commands/batch_commands.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import timedelta, datetime\\nimport json\\nfrom bson.objectid import ObjectId\\nfrom flask import current_app\\nimport requests\\nfrom common_utils import get_russian_month_skl\\nfrom fw.auth.models import AuthUser\\nfrom fw.async_tasks import send_email, rendering\\nfrom fw.auth.user_manager import UserManager\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.db_fields import DocumentBatchDbObject, PrivatePersonDbObject, CompanyDbObject, BatchDocumentDbObject\\nfrom fw.documents.enums import BatchStatusEnum, DocumentBatchTypeEnum, DocumentTypeEnum\\nfrom fw.documents.fields.complex_doc_fields import ObjectRefField\\nfrom fw.documents.fields.doc_fields import PrivatePerson, CompanyObject\\nfrom fw.monitoring_utils.zabbix_sender import zabbixed\\nfrom manage_commands import BaseManageCommand, get_single\\nfrom services.ifns import ifns_manager\\nfrom services.ifns.data_model.enums import IfnsRegStatusEnum\\nfrom services.ip_reg.documents.enums import IPDocumentDeliveryTypeStrEnum\\nfrom services.llc_reg.documents.enums import RegistrationWay, IfnsServiceEnum, DocumentDeliveryTypeStrEnum\\nfrom services.llc_reg.documents.general_doc_fields import FounderObject\\nimport html5lib\\nfrom template_filters import utm_args\\n\\n\\nclass CheckBatchIfnsRegStatusCommand(BaseManageCommand):\\n NAME = \\\"check_batch_ifns_reg_status\\\"\\n\\n @zabbixed('check_ifns_reg', (1, 0))\\n def run(self):\\n # self.logger.info(u\\\"Проверка статуса регистрации компаний\\\")\\n # self.logger.info(u'=' * 50)\\n\\n is_production = not self.config['STAGING'] and not self.config['DEBUG']\\n days_30 = timedelta(days=30)\\n # get list of testers\\n from services.ifns.data_model.models import IfnsBookingObject\\n\\n # and exclude their batches\\n query = DocumentBatchDbObject.query.filter(\\n DocumentBatchDbObject.status == BatchStatusEnum.BS_FINALISED,\\n DocumentBatchDbObject.paid == True,\\n DocumentBatchDbObject.finalisation_date >= datetime.now() - days_30\\n )\\n if is_production:\\n query = query.join(AuthUser).filter(AuthUser.is_tester==False)\\n\\n skip_statuses = (IfnsRegStatusEnum.IRS_REGISTERED, IfnsRegStatusEnum.IRS_REGISTRATION_DECLINED)\\n for batch in query:\\n status = (batch.result_fields or {}).get('ifns_reg_info', {}).get('status', 'unknown')\\n if status in skip_statuses:\\n continue\\n\\n batch_id = batch.id\\n # self.logger.info(u\\\"%s\\\" % unicode(batch_id))\\n\\n ifns = (batch.result_fields or {}).get('ifns', None)\\n\\n #self.logger.info(u\\\"ifns: %s\\\" % ifns)\\n ifns_data = ifns_manager.get_ifns_data(ifns)\\n if ifns_data and ifns_data.rou and 'code' in ifns_data.rou:\\n ifns = ifns_data.rou['code']\\n\\n full_name = \\\"\\\"\\n short_name = \\\"\\\"\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n full_name = batch.data.get('full_name', None)\\n short_name = batch.data.get('short_name', None)\\n elif batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_IP:\\n try:\\n reg_responsible_person = batch.data.get('person', None)\\n person_field = ObjectRefField()\\n person_field.parse_raw_value(reg_responsible_person, {}, api_data=False, update=False)\\n full_name = person_field.full_name\\n short_name = person_field.short_name\\n except Exception:\\n self.logger.exception(u\\\"Failed to parse IP person\\\")\\n else:\\n self.logger.exception(u\\\"Unknown batch type for batch %s\\\" % str(batch['_id']))\\n\\n doc_rec_type = batch.data.get('obtain_way', None)\\n application_form = batch.data.get('registration_way', None)\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n applicant_fio = u\\\"\\\"\\n elif batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_IP:\\n applicant_fio = full_name\\n for doc in batch._documents:\\n if doc.document_type == DocumentTypeEnum.DT_REGISTRATION_FEE_INVOICE:\\n founder_applicant = doc.data.get('founder_applicant', None)\\n if founder_applicant:\\n try:\\n founder_app_field = FounderObject()\\n founder_app_field.parse_raw_value(founder_applicant, {}, api_data=False, update=False)\\n applicant_fio = founder_app_field.full_name\\n except Exception:\\n self.logger.exception(u\\\"Failed to parse founder object\\\")\\n break\\n\\n if application_form == RegistrationWay.RW_RESPONSIBLE_PERSON:\\n reg_responsible_person = batch.data.get('reg_responsible_person', None)\\n if reg_responsible_person:\\n try:\\n reg_responsible_person_field = ObjectRefField()\\n reg_responsible_person_field.parse_raw_value(\\n reg_responsible_person, {}, api_data=False, update=False)\\n applicant_fio = reg_responsible_person_field.full_name\\n except Exception:\\n self.logger.exception(u\\\"Failed to parse person\\\")\\n\\n ifns_booking = IfnsBookingObject.query.filter_by(\\n batch_id=batch_id,\\n service_id=IfnsServiceEnum.IS_REG_COMPANY,\\n _discarded=False\\n ).first()\\n if ifns_booking:\\n dt = ifns_booking.date\\n if dt and is_production and datetime.now() < dt:\\n self.logger.info(u\\\"Too early - skip\\\")\\n continue\\n\\n # self.logger.info(u\\\"Checking batch %s\\\" % unicode(batch_id))\\n date_from = batch.finalisation_date - timedelta(days=5)\\n date_to = date_from + timedelta(days=30)\\n result = current_app.external_tools.get_ifns_registrations(\\n full_name,\\n date_from=date_from,\\n date_to=date_to,\\n ifns=ifns,\\n service_nalog_ru_url=self.config['SERVICE_NALOG_RU_URL'],\\n logger=self.logger) or []\\n\\n if not result:\\n # self.logger.info(u\\\"No reservations for batch %s\\\" % unicode(batch_id))\\n continue\\n else:\\n for item in result:\\n try:\\n self.logger.info(u\\\"Found reservation info for batch %s (%s)\\\" % (\\n batch_id,\\n json.dumps(item, default=lambda x: unicode(x))\\n ))\\n if 'status' not in item:\\n continue\\n status = item['status']\\n batch_result_fields = batch.result_fields or {}\\n\\n if status == 'registered' and ('ogrn' in item or 'ogrnip' in item):\\n ogrn = item.get('ogrn')\\n ogrnip = item.get('ogrnip')\\n reg_date = None\\n try:\\n reg_date = item.get('reg_date', None)\\n if reg_date:\\n reg_date = datetime.strptime(reg_date, \\\"%d.%m.%Y\\\")\\n except Exception:\\n self.logger.exception(u\\\"Failed to convert reg_date\\\")\\n reg_info = {\\n 'status': 'registered',\\n 'reg_date': reg_date,\\n }\\n if ogrn:\\n reg_info['ogrn'] = ogrn\\n elif ogrnip:\\n reg_info['ogrnip'] = ogrnip\\n\\n booking = IfnsBookingObject.query.filter_by(\\n batch_id=batch_id,\\n service_id=IfnsServiceEnum.IS_REG_COMPANY,\\n _discarded=False\\n ).first()\\n if booking:\\n booking.reg_info = reg_info\\n sqldb.session.commit()\\n\\n batch_result_fields['ifns_reg_info'] = {\\n 'status': 'registered',\\n 'reg_date': reg_date,\\n 'full_name': full_name\\n }\\n if ogrn:\\n batch_result_fields['ifns_reg_info']['ogrn'] = ogrn\\n elif ogrnip:\\n batch_result_fields['ifns_reg_info']['ogrnip'] = ogrnip\\n\\n DocumentBatchDbObject.query.filter_by(id=batch.id).update({\\n 'result_fields': batch_result_fields\\n })\\n sqldb.session.commit()\\n recipient = batch._owner.email or u\\\"\\\"\\n obtain_person_fio = u\\\"\\\"\\n if not recipient:\\n self.logger.warn(\\n u\\\"Failed to send ifns reg notify to user %s - no email address\\\" % batch._owner_id)\\n else:\\n docs_recipient_fio = \\\"\\\"\\n # Batch Type specific logic\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n # TODO: This should be incapsulated\\n if doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT:\\n doc = BatchDocumentDbObject.query.filter_by(batch=batch,\\n document_type=DocumentTypeEnum.DT_P11001).first()\\n if doc:\\n founders = doc.data['founders']\\n for founder in founders:\\n if founder.get('documents_recipient_type', '') != '':\\n person = founder.get('person', None)\\n if person and '_id' in person:\\n person_obj = PrivatePersonDbObject.query.filter_by(\\n id=person['_id']).scalar()\\n if person_obj:\\n pp = PrivatePerson.db_obj_to_field(person_obj)\\n if pp:\\n docs_recipient_fio = pp.full_name\\n else:\\n company = founder.get('company', None)\\n if company:\\n company_db_object = CompanyDbObject.query.filter_by(\\n id=company['_id']).scalar()\\n if company_db_object:\\n cc = CompanyObject.db_obj_to_field(company_db_object)\\n if cc and cc.general_manager and cc.general_manager.initialized:\\n docs_recipient_fio = cc.general_manager.full_name\\n elif doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT_OR_AGENT:\\n doc = BatchDocumentDbObject.query.filter_by(batch=batch,\\n document_type=DocumentTypeEnum.DT_DOVERENNOST_OBTAIN).first()\\n\\n if doc:\\n doc_obtain_person = doc.data.get('doc_obtain_person', None)\\n if doc_obtain_person and '_id' in doc_obtain_person:\\n person_obj = PrivatePersonDbObject.query.filter_by(\\n id=doc_obtain_person['_id']).scalar()\\n if person_obj:\\n pp = PrivatePerson.db_obj_to_field(person_obj)\\n if pp:\\n docs_recipient_fio = pp.full_name\\n\\n doc = BatchDocumentDbObject.query.filter_by(batch=batch,\\n document_type=DocumentTypeEnum.DT_P11001).first()\\n if doc:\\n founders = doc.data['founders']\\n for founder in founders:\\n if founder.get('documents_recipient_type', '') != '':\\n person = founder.get('person', None)\\n if person and '_id' in person:\\n person_obj = PrivatePersonDbObject.query.filter_by(\\n id=person['_id']).scalar()\\n if person_obj:\\n pp = PrivatePerson.db_obj_to_field(person_obj)\\n if pp:\\n obtain_person_fio = pp.full_name\\n else:\\n company = founder.get('company', None)\\n if company:\\n company_db_object = CompanyDbObject.query.filter_by(\\n id=company['_id']).scalar()\\n if company_db_object:\\n cc = CompanyObject.db_obj_to_field(company_db_object)\\n if cc and cc.general_manager and cc.general_manager.initialized:\\n obtain_person_fio = cc.general_manager.full_name\\n ifns_book_doc_receive_url = \\\"%s://%s/ooo/?id=%s\\\" % (self.config['WEB_SCHEMA'], self.config['DOMAIN'], unicode(batch_id))\\n ifns_book_doc_receive_url = utm_args(ifns_book_doc_receive_url, \\\"ifns_llc_reg_success\\\", batch._owner_id) + u\\\"#page=obtaining\\\"\\n ifns_book_doc_receive_url = UserManager.make_auth_url(ifns_book_doc_receive_url, batch._owner).get_url(self.config)\\n\\n send_email.send_email.delay(\\n recipient,\\n 'ifns_llc_reg_success',\\n short_name=short_name,\\n doc_rec_by_email=(doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_SEND_BY_MAIL),\\n doc_rec_by_responsible=(\\n doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT_OR_AGENT),\\n ifns_book_doc_receive_url=ifns_book_doc_receive_url,\\n schema=self.config['WEB_SCHEMA'],\\n domain=self.config['DOMAIN'],\\n ogrn=ogrn,\\n docs_ready_date=u\\\"%d %s %s года\\\" % (\\n reg_date.day, get_russian_month_skl(reg_date.month), reg_date.year),\\n docs_recipient_fio=docs_recipient_fio,\\n obtain_person_fio=obtain_person_fio,\\n service_startup=datetime.now() < datetime(2015, 6, 1),\\n user_id=str(batch._owner_id)\\n )\\n elif batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_IP:\\n\\n if doc_rec_type == IPDocumentDeliveryTypeStrEnum.IP_DDT_RESPONSIBLE_PERSON:\\n for doc in BatchDocumentDbObject.query.filter(\\n BatchDocumentDbObject.batch == batch,\\n BatchDocumentDbObject.document_type.in_((\\n DocumentTypeEnum.DT_IP_DOV_FILING_RECEIVING_DOCS,\\n DocumentTypeEnum.DT_IP_DOV_RECEIVING_DOCS))):\\n person = doc.data.get('ip_responsible_person', None)\\n if person and '_id' in person:\\n person_obj = PrivatePersonDbObject.query.filter_by(\\n id=person['_id']).scalar()\\n if person_obj:\\n pp = PrivatePerson.db_obj_to_field(person_obj)\\n if pp:\\n docs_recipient_fio = pp.full_name\\n break\\n\\n ifns_book_doc_receive_url = \\\"%s://%s/ip/?id=%s\\\" % (self.config['WEB_SCHEMA'], self.config['DOMAIN'], batch_id)\\n ifns_book_doc_receive_url = utm_args(ifns_book_doc_receive_url, 'ifns_ip_reg_success', batch._owner_id) + u\\\"#page=obtaining\\\"\\n ifns_book_doc_receive_url = UserManager.make_auth_url(ifns_book_doc_receive_url, batch._owner).get_url(self.config)\\n\\n send_email.send_email.delay(\\n recipient,\\n 'ifns_ip_reg_success',\\n short_name=short_name,\\n doc_rec_by_email=(doc_rec_type == IPDocumentDeliveryTypeStrEnum.IP_DDT_MAIL),\\n doc_rec_by_responsible=(\\n doc_rec_type == IPDocumentDeliveryTypeStrEnum.IP_DDT_RESPONSIBLE_PERSON),\\n ifns_book_doc_receive_url=ifns_book_doc_receive_url,\\n schema=self.config['WEB_SCHEMA'],\\n domain=self.config['DOMAIN'],\\n ogrnip=ogrnip,\\n docs_ready_date=u\\\"%d %s %s года\\\" % (\\n reg_date.day, get_russian_month_skl(reg_date.month), reg_date.year),\\n docs_recipient_fio=docs_recipient_fio,\\n obtain_person_fio=obtain_person_fio,\\n service_startup=datetime.now() < datetime(2015, 6, 1),\\n user_id=str(batch._owner_id)\\n )\\n self.notify_admin(True, short_name, batch_id, application_form, doc_rec_type, applicant_fio,\\n recipient, ogrn=ogrn, ogrnip=ogrnip, batch_type=batch.batch_type)\\n elif status == 'registration_declined':\\n reg_date = None\\n try:\\n reg_date = item.get('reg_date', None)\\n if reg_date:\\n reg_date = datetime.strptime(reg_date, \\\"%d.%m.%Y\\\")\\n except Exception:\\n self.logger.exception(u\\\"Failed to convert reg_date\\\")\\n\\n IfnsBookingObject.query.filter_by(\\n batch_id=batch_id,\\n service_id=IfnsServiceEnum.IS_REG_COMPANY,\\n _discarded=False).update({\\n 'reg_info': {\\n 'status': 'registration_declined',\\n 'reg_date': reg_date\\n }\\n })\\n sqldb.session.commit()\\n batch_result_fields['ifns_reg_info'] = {\\n 'status': 'registration_declined',\\n 'reg_date': reg_date,\\n 'full_name': full_name\\n }\\n recipient = batch._owner.email or u\\\"\\\"\\n if not recipient:\\n self.logger.warn(\\n u\\\"Failed to send ifns reg notify to user %s - no email address\\\" % batch._owner_id)\\n else:\\n if batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC:\\n ifns_book_doc_receive_url = \\\"%s://%s/ooo/?id=%s\\\" % (self.config['WEB_SCHEMA'], self.config['DOMAIN'], batch_id)\\n ifns_book_doc_receive_url = utm_args(ifns_book_doc_receive_url, 'ifns_llc_reg_fail', batch._owner_id) + u\\\"#page=refusing\\\"\\n ifns_book_doc_receive_url = UserManager.make_auth_url(ifns_book_doc_receive_url, batch._owner).get_url(self.config)\\n\\n send_email.send_email.delay(\\n recipient,\\n 'ifns_llc_reg_fail',\\n short_name=short_name,\\n doc_rec_by_email=(doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_SEND_BY_MAIL),\\n ifns_book_doc_receive_url=ifns_book_doc_receive_url,\\n schema=self.config['WEB_SCHEMA'],\\n domain=self.config['DOMAIN'],\\n user_id=batch._owner_id\\n )\\n elif batch.batch_type == DocumentBatchTypeEnum.DBT_NEW_IP:\\n ifns_book_doc_receive_url = \\\"%s://%s/ip/?id=%s\\\" % (self.config['WEB_SCHEMA'], self.config['DOMAIN'], batch_id)\\n ifns_book_doc_receive_url = utm_args(ifns_book_doc_receive_url, 'ifns_ip_reg_fail', batch._owner_id) + u\\\"#page=refusing\\\"\\n ifns_book_doc_receive_url = UserManager.make_auth_url(ifns_book_doc_receive_url, batch._owner).get_url(self.config)\\n send_email.send_email.delay(\\n recipient,\\n 'ifns_ip_reg_fail',\\n short_name=short_name,\\n doc_rec_by_email=(doc_rec_type == IPDocumentDeliveryTypeStrEnum.IP_DDT_MAIL),\\n ifns_book_doc_receive_url=ifns_book_doc_receive_url,\\n schema=self.config['WEB_SCHEMA'],\\n domain=self.config['DOMAIN'],\\n user_id=batch._owner_id\\n )\\n DocumentBatchDbObject.query.filter_by(id=batch.id).update({\\n 'result_fields': batch_result_fields\\n })\\n sqldb.session.commit()\\n self.notify_admin(False, short_name, batch_id, application_form, doc_rec_type,\\n applicant_fio, recipient, batch_type=batch.batch_type)\\n elif status == 'progress':\\n IfnsBookingObject.query.filter_by(\\n batch_id=batch_id,\\n service_id=IfnsServiceEnum.IS_REG_COMPANY,\\n _discarded=False\\n ).update({'reg_info': {\\n 'status': 'progress',\\n 'reg_date': item.get('reg_date', None)\\n }\\n })\\n batch_result_fields['ifns_reg_info'] = {\\n 'status': 'progress',\\n 'reg_date': item.get('reg_date', None),\\n 'full_name': full_name\\n }\\n DocumentBatchDbObject.query.filter_by(id=batch.id).update({\\n 'result_fields': batch_result_fields\\n })\\n sqldb.session.commit()\\n else:\\n raise Exception()\\n\\n break\\n except Exception:\\n self.logger.exception(u\\\"Failed to handle result\\\")\\n\\n def notify_admin(self, is_success_reg, company_short_name, batch_id, application_form, obtain_form, applicant_fio,\\n user_email, ogrn=None, ogrnip=None, batch_type=None):\\n application_form_rus = RegistrationWay._NAMES.get(application_form, u\\\"<неизвестно>\\\")\\n obtain_form_rus = DocumentDeliveryTypeStrEnum._NAMES.get(obtain_form, u\\\"<неизвестно>\\\")\\n recipient_list = self.config['YURIST_EMAIL_LIST']\\n for recipient in recipient_list:\\n send_email.send_email.delay(\\n recipient,\\n 'admin_notify_llc_ifns_reg' if batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC else 'admin_notify_ip_ifns_reg',\\n short_name=company_short_name,\\n success_reg=is_success_reg,\\n ogrn=ogrn,\\n ogrnip=ogrnip,\\n batch_id=batch_id,\\n application_form_rus=application_form_rus,\\n obtain_form_rus=obtain_form_rus,\\n applicant_fio=applicant_fio,\\n user_email=user_email\\n )\\n\\n\\nclass RebuildBatchCommand(BaseManageCommand):\\n NAME = \\\"rebuild_batch\\\"\\n\\n def run(self):\\n self.logger.info(u\\\"Перегенерация пакета документов\\\")\\n self.logger.info(u'=' * 50)\\n\\n batch_id = get_single(u'batch id: ')\\n try:\\n ObjectId(batch_id)\\n except Exception:\\n self.logger.error(u\\\"Invalid batch id\\\")\\n return False\\n\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id).scalar()\\n if not batch:\\n self.logger.error(u\\\"Batch not found\\\")\\n return False\\n\\n if batch.status == BatchStatusEnum.BS_FINALISED:\\n\\n batch.status = BatchStatusEnum.BS_BEING_FINALISED\\n sqldb.session.commit()\\n async_result = rendering.render_batch.delay(batch_id)\\n\\n if not async_result.ready():\\n batch.current_task_id = async_result.id\\n sqldb.session.commit()\\n\\n return True\\n elif batch.status == BatchStatusEnum.BS_EDITED:\\n manager = BatchManager.init(batch)\\n manager.finalize_batch(self.config, self.logger, batch)\\n return True\\n self.logger.error(u\\\"Invalid current batch status\\\")\\n return False\\n\\n\\nclass BuildDocumentCommand(BaseManageCommand):\\n NAME = \\\"rebuild_document\\\"\\n\\n def run(self):\\n self.logger.info(u\\\"Перегенерация документа\\\")\\n self.logger.info(u'=' * 50)\\n\\n doc_id = get_single(u'document id: ')\\n doc = BatchDocumentDbObject.query.filter_by(id=doc_id).scalar()\\n if not doc:\\n self.logger.error(u\\\"Failed to find document\\\")\\n return False\\n batch = doc.batch\\n rendering.render_batch_document.delay(batch.id, doc_id)\\n\\n self.logger.error(u\\\"Started document render\\\")\\n return False\\n\\n\\nclass SendBatchDocumentsToEmailCommand(BaseManageCommand):\\n NAME = \\\"email_batch_docs\\\"\\n\\n def run(self):\\n self.logger.info(u\\\"Отправка пакета документов на email\\\")\\n self.logger.info(u'=' * 50)\\n\\n batch_id = get_single(u'batch id: ')\\n email = get_single(u'email: ')\\n try:\\n ObjectId(batch_id)\\n except Exception:\\n self.logger.error(u\\\"Invalid batch id\\\")\\n return False\\n\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id).scalar()\\n if not batch:\\n self.logger.error(u\\\"Batch not found\\\")\\n return False\\n\\n if batch.status == BatchStatusEnum.BS_FINALISED:\\n total_attachments = BatchManager.get_batch_rendered_docs(batch, current_app.config, current_app.logger)\\n send_email.send_email.delay(email, 'email_batch_docs', attach=total_attachments)\\n return True\\n self.logger.error(u\\\"Invalid current batch status\\\")\\n return True\\n\\n\\nclass GetFssNumberCommand(BaseManageCommand):\\n NAME = \\\"get_fss_number\\\"\\n\\n @staticmethod\\n def get_fss_number(logger):\\n from copy import copy\\n days_30 = timedelta(days=30)\\n for batch in DocumentBatchDbObject.query.filter(\\n DocumentBatchDbObject.batch_type == DocumentBatchTypeEnum.DBT_NEW_LLC,\\n DocumentBatchDbObject.status == BatchStatusEnum.BS_FINALISED,\\n DocumentBatchDbObject.paid == True,\\n DocumentBatchDbObject.deleted == False,\\n DocumentBatchDbObject.finalisation_date >= datetime.utcnow() - days_30\\n ).join(AuthUser).filter(AuthUser.is_tester == False):\\n if batch.result_fields and 'fss_number' in batch.result_fields and batch.result_fields['fss_number']:\\n continue\\n if batch.data and 'inn' not in batch.data:\\n continue\\n\\n batch_id = batch.id\\n inn = batch.data['inn']\\n fss_response = requests.get(\\\"http://fz122.fss.ru/index.php?service=28&inn=%s\\\" % str(inn))\\n if fss_response.status_code != 200:\\n logger.warn(\\\"Failed to get fss data for batch %s with inn %s\\\" % (batch_id, str(inn)))\\n continue\\n else:\\n # parse the data\\n content = fss_response.text\\n root = html5lib.parse(content, treebuilder='lxml', namespaceHTMLElements=False)\\n tds = root.xpath('//tr[@bgcolor=\\\"#BFD6C8\\\"]/td')\\n if len(tds) != 6:\\n logger.warn(\\n \\\"Failed to locate proper cell in table; batch %s with inn %s\\\" % (batch_id, inn))\\n continue\\n else:\\n fss_number = tds[3].text\\n if not fss_number.isdigit():\\n logger.warn(\\n \\\"Fss number is not digit: %s ; batch %s with inn %s\\\" % (fss_number, batch_id, inn))\\n continue\\n else:\\n fss_number = int(fss_number)\\n new_fields = copy(batch.result_fields)\\n new_fields[\\\"fss_number\\\"] = fss_number\\n DocumentBatchDbObject.query.filter_by(id=batch_id).update({'result_fields': new_fields})\\n sqldb.session.commit()\\n return True\\n\\n def run(self):\\n self.logger.info(u\\\"Забор номеров ФСС\\\")\\n self.logger.info(u'=' * 50)\\n\\n return GetFssNumberCommand.get_fss_number(self.logger)\\n\\n\\nclass SetDateCommand(BaseManageCommand):\\n NAME = \\\"set_date\\\"\\n\\n def run(self):\\n self.logger.info(u\\\"Set date\\\")\\n batch_id = get_single(u'batch id: ')\\n for doc in BatchDocumentDbObject.query.filter_by(batch_id=batch_id, deleted=False):\\n if doc.data and 'doc_date' in doc.data:\\n d = doc.data\\n d['doc_date'] = datetime(2015, 6, 13)\\n BatchDocumentDbObject.query.filter_by(id=doc.id).update({'data':d})\\n self.logger.info('updated %s' % doc.document_type)\\n sqldb.session.commit()\\n\\n\\ndef _check_id(obj_type, obj_id):\\n type_cls_map = {\\n 'person': PrivatePersonDbObject,\\n 'company': CompanyDbObject\\n }\\n\\n obj = type_cls_map[obj_type].query.filter_by(id=obj_id).scalar()\\n return obj is not None\\n\\n\\ndef _get_invalid_refs(data):\\n result = []\\n if isinstance(data, dict):\\n if len(data) == 2 and '_id' in data and 'type' in data:\\n if not _check_id(data['type'], data['_id']):\\n result.append(data)\\n for subkey, subval in data.items():\\n result.extend(_get_invalid_refs(subval))\\n elif isinstance(data, list) or isinstance(data, tuple):\\n for i in data:\\n result.extend(_get_invalid_refs(i))\\n return result\\n\\n\\nclass FindInvalidRefsCommand(BaseManageCommand):\\n NAME = \\\"find_invalid_refs\\\"\\n\\n def run(self):\\n self.logger.info(u\\\"Looking for invalid references to persons/companies\\\")\\n invalid_refs = {}\\n invalid_refs_set = set()\\n for batch in DocumentBatchDbObject.query.filter_by(deleted=False, _broken=False):\\n data = batch.data\\n docs = batch._documents\\n\\n invalid_refs[batch.id] = {}\\n r = _get_invalid_refs(data or {}) or []\\n if r:\\n invalid_refs[batch.id][None] = r\\n for i in r:\\n invalid_refs_set.add(i['_id'])\\n for doc in docs:\\n r = _get_invalid_refs(doc.data or {}) or []\\n if r:\\n invalid_refs[batch.id][doc.id] = r\\n for i in r:\\n invalid_refs_set.add(i['_id'])\\n if not invalid_refs[batch.id]:\\n del invalid_refs[batch.id]\\n\\n print(json.dumps(invalid_refs, indent=1))\\n print(json.dumps(list(invalid_refs_set), indent=1))\\n\\n\\ndef _replace_ids(data, replace_map):\\n if isinstance(data, basestring):\\n if data in replace_map:\\n return replace_map[data]\\n return data\\n if isinstance(data, list) or isinstance(data, tuple):\\n result = []\\n for i in data:\\n result.append(_replace_ids(i, replace_map))\\n return result\\n if isinstance(data, dict):\\n result = {}\\n for k, v in data.items():\\n result[k] = _replace_ids(v, replace_map)\\n return result\\n return data\\n\"\n },\n {\n \"alpha_fraction\": 0.7313311696052551,\n \"alphanum_fraction\": 0.7573052048683167,\n \"avg_line_length\": 36.33333206176758,\n \"blob_id\": \"435d359e3239418340498c413f7f18811541cce7\",\n \"content_id\": \"4907c619552e0648a7c3164a3f4fe0b7f8dde900\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1232,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 33,\n \"path\": \"/app/services/osago/documents/general_doc_fields.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom fw.documents.fields.complex_doc_fields import ObjectRefField\\nfrom fw.documents.fields.general_doc_fields import general_doc_field, GeneralField\\nfrom fw.documents.fields.simple_doc_fields import DocTextField, DocEnumField, DocIntField\\n\\n\\n@general_doc_field\\nclass DriveObject(GeneralField):\\n name = DocTextField(max_length=70, required=False)\\n surname = DocTextField(max_length=70, required=False)\\n patronymic = DocTextField(max_length=70, required=False)\\n sex = DocEnumField(enum_cls='GenderEnum')\\n\\n\\n@general_doc_field\\nclass CarWithDriver(GeneralField):\\n driver = DriveObject()\\n car_brand = DocTextField(max_length=100, required=False)\\n car_number = DocTextField(max_length=10, required=False)\\n\\n@general_doc_field\\nclass DocLawSuitDocPageCount(GeneralField):\\n page = DocEnumField(enum_cls='OsagoDocTypeEnum')\\n pagecount = DocIntField(min_val=0, max_val=1000, required=True)\\n\\n@general_doc_field\\nclass CourtLawsuitDocInfo(GeneralField):\\n doc_name = DocEnumField(enum_cls='CourtLawsuitDocEnum')\\n originals = DocIntField(min_val=0, max_val=1000)\\n copies = DocIntField(min_val=0, max_val=1000)\\n title = DocTextField()\\n pagecount = DocIntField(min_val=0, max_val=1000)\\n\"\n },\n {\n \"alpha_fraction\": 0.5996252298355103,\n \"alphanum_fraction\": 0.605871319770813,\n \"avg_line_length\": 34.57777786254883,\n \"blob_id\": \"f4aecdd2a49b704dd9cc4aeca33bfd549d97c1cd\",\n \"content_id\": \"954fe1ed317a6576f74cc1c680f7ca5031a4de29\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1601,\n \"license_type\": \"no_license\",\n \"max_line_length\": 115,\n \"num_lines\": 45,\n \"path\": \"/app/deployment_migrations/migration_list/20151007_pay_for_current_osago.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject\\nfrom fw.documents.enums import DocumentBatchTypeEnum\\nfrom services.pay.models import PayInfoObject, PurchaseServiceType\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Add payments for currently existing osago batches\\\")\\n\\n for batch in DocumentBatchDbObject.query.filter_by(_broken=False, deleted=False,\\n batch_type=DocumentBatchTypeEnum.DBT_OSAGO, status=\\\"claim\\\"):\\n new_pay_info = PayInfoObject(\\n user=batch._owner,\\n batch=batch,\\n pay_record_id=0,\\n payment_provider=0,\\n service_type=PurchaseServiceType.OSAGO_PART1\\n )\\n sqldb.session.add(new_pay_info)\\n\\n for batch in DocumentBatchDbObject.query.filter_by(_broken=False, deleted=False,\\n batch_type=DocumentBatchTypeEnum.DBT_OSAGO, status=\\\"court\\\"):\\n new_pay_info = PayInfoObject(\\n user=batch._owner,\\n batch=batch,\\n pay_record_id=0,\\n payment_provider=0,\\n service_type=PurchaseServiceType.OSAGO_PART1\\n )\\n sqldb.session.add(new_pay_info)\\n\\n new_pay_info = PayInfoObject(\\n user=batch._owner,\\n batch=batch,\\n pay_record_id=0,\\n payment_provider=0,\\n service_type=PurchaseServiceType.OSAGO_PART2\\n )\\n sqldb.session.add(new_pay_info)\\n sqldb.session.commit()\\n\\ndef rollback(config, logger):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6975945234298706,\n \"alphanum_fraction\": 0.7010309100151062,\n \"avg_line_length\": 25.454545974731445,\n \"blob_id\": \"fd09dbfd60c8a78e8a901e93be175b5290412ea2\",\n \"content_id\": \"4adf485361fc1fef733cbd7d44f13cd85dbba6c5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 291,\n \"license_type\": \"no_license\",\n \"max_line_length\": 58,\n \"num_lines\": 11,\n \"path\": \"/app/fw/plugins/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n_plugins_library = dict()\\n\\ndef get_plugin(plugin_id):\\n return _plugins_library[plugin_id]\\n\\ndef register(plugin_id, plugin_module, class_loader=None):\\n assert class_loader\\n plugin_module.register(class_loader)\\n _plugins_library[plugin_id] = plugin_module\\n\"\n },\n {\n \"alpha_fraction\": 0.5147748589515686,\n \"alphanum_fraction\": 0.5263778567314148,\n \"avg_line_length\": 33.10679626464844,\n \"blob_id\": \"57e317cbde145e4e171d4bdafe776ca6946ba071\",\n \"content_id\": \"1fe05bd129ac64629c7bb56b365495cdcd1f4e13\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 76643,\n \"license_type\": \"no_license\",\n \"max_line_length\": 139,\n \"num_lines\": 2163,\n \"path\": \"/jb_tests/test_pack/test_docs.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom datetime import datetime, timedelta\\nimport urllib\\n\\nfrom flask import json, current_app\\n\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.address_enums import (RFRegionsEnum, StreetTypeEnum, HouseTypeEnum)\\nfrom fw.documents.db_fields import (DocumentBatchDbObject, CompanyDbObject,\\n PrivatePersonDbObject, BatchDocumentDbObject)\\nfrom fw.documents.enums import DocumentBatchTypeEnum, BatchStatusEnum, PersonDocumentTypeEnum, UserDocumentStatus\\nfrom fw.documents.enums import DocumentTypeEnum\\nfrom fw.documents.fields.doc_fields import UserDocument\\nfrom fw.documents.fields.simple_doc_fields import DocTextField\\nfrom fw.storage.file_storage import FileStorage\\nfrom fw.storage.models import FileObject\\nfrom services.llc_reg.documents.enums import CompanyStarterCapitalTypeEnum\\nfrom services.llc_reg.documents.enums import FounderTypeEnum\\nfrom services.test_svc import TestSvcManager\\nfrom test_api import authorized\\nfrom test_pack.base_batch_test import BaseBatchTestCase\\n\\n\\nclass DocsTestCase(BaseBatchTestCase):\\n def setUp(self):\\n super(DocsTestCase, self).setUp()\\n self.maxDiff = None\\n\\n @authorized()\\n def test_delete_batch_document(self):\\n with self.app.app_context():\\n batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n data={\\n \\\"a\\\": 1\\n },\\n _owner=self.user\\n )\\n sqldb.session.add(batch)\\n sqldb.session.commit()\\n\\n batch2 = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n data={\\n \\\"a\\\": 2\\n },\\n _owner=self.user\\n )\\n sqldb.session.add(batch2)\\n sqldb.session.commit()\\n batch2_id = batch2.id\\n\\n batch3 = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n data={\\n \\\"a\\\": 3\\n },\\n _owner=self.user\\n )\\n sqldb.session.add(batch3)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/delete/', data={'batch_id': batch2.id})\\n self.assertEqual(result.status_code, 200)\\n\\n data = json.loads(result.data)\\n self.assertEqual(data['result'], True)\\n\\n self.assertEqual(DocumentBatchDbObject.query.filter_by(deleted=False).count(), 2)\\n self.assertIsNotNone(DocumentBatchDbObject.query.filter_by(id=batch.id).first())\\n self.assertIsNone(DocumentBatchDbObject.query.filter_by(id=batch2_id, deleted=False).first())\\n self.assertIsNotNone(DocumentBatchDbObject.query.filter_by(id=batch3.id).first())\\n\\n @authorized()\\n def test_delete_batch_document(self):\\n with self.app.app_context():\\n batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_IP,\\n data={\\n \\\"a\\\": 1\\n },\\n _owner=self.user\\n )\\n sqldb.session.add(batch)\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/batch/')\\n self.assertEqual(result.status_code, 200)\\n\\n data = json.loads(result.data)\\n a = 1\\n\\n @authorized()\\n def test_make_docs_from_data(self):\\n batch_manager = TestSvcManager()\\n\\n short_name = DocTextField()\\n short_name.parse_raw_value(u\\\"Наименование\\\")\\n current_batch_data_fields = {\\n 'short_name': short_name\\n }\\n\\n new_short_name = DocTextField()\\n new_short_name.parse_raw_value(u\\\"Наименование 2\\\")\\n new_batch_fields = {\\n 'short_name': new_short_name\\n }\\n\\n current_batch_db_model = DocumentBatchDbObject(\\n _owner=self.user,\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n )\\n\\n new_field_set, docs_list, changed_field_names = batch_manager.make_docs_for_new_data(\\n current_batch_data_fields,\\n new_batch_fields,\\n current_batch_db_model\\n )\\n\\n self.assertEqual(changed_field_names, {\\\"short_name\\\"})\\n\\n self.assertIn('short_name', new_field_set)\\n self.assertIsInstance(new_field_set['short_name'], DocTextField)\\n self.assertEqual(new_field_set['short_name'], u\\\"Наименование 2\\\")\\n\\n self.assertEqual(len(docs_list), 1)\\n doc = docs_list[0]\\n self.assertIsInstance(doc, UserDocument)\\n fields = doc.data.value\\n self.assertEqual(len(fields), 1)\\n self.assertEqual(fields['short_name'], u\\\"Наименование 2\\\")\\n\\n def test_make_docs_from_unchanged(self):\\n batch_manager = TestSvcManager()\\n\\n short_name = DocTextField()\\n short_name.parse_raw_value(u\\\"Наименование\\\")\\n current_batch_data_fields = {\\n 'short_name': short_name\\n }\\n\\n new_short_name = DocTextField()\\n new_short_name.parse_raw_value(u\\\"Наименование\\\")\\n new_batch_fields = {\\n 'short_name': new_short_name\\n }\\n\\n current_batch_db_model = DocumentBatchDbObject(\\n _owner=self.user,\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n )\\n\\n new_field_set, docs_list, changed_field_names = batch_manager.make_docs_for_new_data(\\n current_batch_data_fields,\\n new_batch_fields,\\n current_batch_db_model\\n )\\n\\n self.assertEqual(changed_field_names, set())\\n\\n self.assertIn('short_name', new_field_set)\\n self.assertIsInstance(new_field_set['short_name'], DocTextField)\\n self.assertEqual(new_field_set['short_name'], u\\\"Наименование\\\")\\n\\n self.assertEqual(len(docs_list), 1)\\n doc = docs_list[0]\\n self.assertIsInstance(doc, UserDocument)\\n fields = doc.data.value\\n self.assertEqual(len(fields), 1)\\n self.assertEqual(fields['short_name'], u\\\"Наименование\\\")\\n\\n @authorized()\\n def test_update_batch(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data,\\n \\\"metadata\\\": {\\n u\\\"some\\\": \\\"data\\\"\\n },\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 1)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n @authorized()\\n def test_add_docs_on_update(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 2)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n doc = new_batch._documents[1]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n @authorized()\\n def test_remove_docs_on_update(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n\\n second_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_2,\\n data={\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n }\\n )\\n sqldb.session.add(second_doc)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"не создавай второй документ\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 1)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"не создавай второй документ\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n @authorized()\\n def test_update_docs_on_update(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n obj_id = first_doc.id\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 1)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n self.assertEqual(doc.id, obj_id)\\n\\n @authorized()\\n def test_update_edited_batch(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 1)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n @authorized()\\n def test_validation_errors_during_update_edited_batch(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование, но очень очень длинное\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(new_batch.error_info, {\\n u'error_ext': [{\\n u'error_code': 5,\\n u'field': u'short_name'\\n }]\\n })\\n self.assertEqual(len(new_batch._documents), 1)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"Новое наименование, но очень очень длинное\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n @authorized()\\n def test_finalize(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n @authorized()\\n def test_render_deferred_docs(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n\\n second_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_2,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"создай второй документ\\\"\\n }\\n )\\n sqldb.session.add(second_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n @authorized()\\n def test_render_with_finalized_entities(self):\\n # todo: 1. create entities\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n sqldb.session.commit()\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager={\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n pp1_id = person.id\\n pp2_id = company_person.id\\n co_id = company.id\\n\\n # todo: 2. finalize\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\",\\n \\\"general_manager\\\": \\\"%s_person\\\" % person.id,\\n \\\"some_db_object\\\": \\\"%s_company\\\" % company.id\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 2)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n doc = new_batch._documents[1]\\n self.assertEqual(doc.data, {\\n u'general_manager': {\\n u'_id': person.id,\\n u'type': u'person'\\n },\\n u'some_db_object': {\\n u'_id': company.id,\\n u'type': u'company'\\n }\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n # todo: 3. change entities\\n\\n person.name = u\\\"НовоеИмя\\\"\\n company.full_name = u\\\"НовоеНаименование\\\"\\n company_person.name = u\\\"НовоеИмя2\\\"\\n\\n sqldb.session.commit()\\n\\n # todo: 4. get batch\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n\\n # todo: 5. check that batch data contain original entities\\n pp_copy = PrivatePersonDbObject.query.filter_by(_copy_id=pp1_id).first()\\n self.assertIsNone(pp_copy)\\n\\n pp2_copy = PrivatePersonDbObject.query.filter_by(_copy_id=pp2_id).first()\\n self.assertIsNone(pp2_copy)\\n\\n cc_copy = CompanyDbObject.query.filter_by(_copy_id=co_id).first()\\n self.assertIsNone(cc_copy)\\n\\n\\n @authorized()\\n def test_definalize(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n sqldb.session.commit()\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n pp1_id = person.id\\n co_id = company.id\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\",\\n \\\"general_manager\\\": \\\"%s_person\\\" % person.id,\\n \\\"some_db_object\\\": \\\"%s_company\\\" % company.id\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(CompanyDbObject.query.count(), 1)\\n self.assertEqual(PrivatePersonDbObject.query.count(), 2)\\n\\n result = self.test_client.post('/batch/unfinalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(CompanyDbObject.query.count(), 1)\\n self.assertEqual(PrivatePersonDbObject.query.count(), 2)\\n\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n\\n for key in ('metadata', 'name', 'all_docs'):\\n del data['batches'][0][key]\\n\\n self.assertEqual(data, {\\n u'batches': [{\\n u'batch_type': DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n u'creation_date': new_batch.creation_date.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n u'data': {\\n u'general_manager': u'%s_person' % pp1_id,\\n u'short_name': u'Новое наименование',\\n u'some_db_object': u'%s_company' % co_id\\n },\\n u'finalisation_date': new_batch.finalisation_date.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n u'id': new_batch.id,\\n u'paid': u'false',\\n u'result_fields': {\\n u'name': u'Новое наименование'\\n },\\n u'status': u'edited'\\n }],\\n u'count': 1,\\n u'total': 1\\n })\\n\\n @authorized()\\n def test_delete_old_files_on_rerender(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(FileObject.query.count(), 1)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 1)\\n\\n result = self.test_client.post('/batch/unfinalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(FileObject.query.count(), 1)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 1)\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(FileObject.query.count(), 1)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 1)\\n\\n @authorized()\\n def test_get_batch_data_according_to_api(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(FileObject.query.count(), 1)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 1)\\n\\n result = self.test_client.get('/batch/')\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n\\n file_obj = FileObject.query.first()\\n file_url = u\\\"http://service.zz/storage/%s\\\" % urllib.quote((unicode(file_obj.id) + '/' + u'Тестовый документ 1.pdf').encode('utf8'))\\n self.assertEqual(data, {\\n u'batches': [{\\n u'id': new_batch.id,\\n u'creation_date': new_batch.creation_date.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n u'finalisation_date': new_batch.finalisation_date.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n u'batch_type': DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n u'status': u'finalised',\\n u'paid': u'false',\\n u'all_docs': [{\\n u\\\"file_link\\\": file_url,\\n u\\\"document_type\\\": DocumentTypeEnum.DT_TEST_DOC_1,\\n u\\\"document_id\\\": first_doc.id,\\n u\\\"caption\\\": u'Тестовый документ 1'\\n }],\\n u'data': {\\n u'short_name': u'Старое наименование',\\n },\\n u'name': u'Тестовый батч',\\n u'metadata': {},\\n u'result_fields': {}\\n }],\\n u'count': 1,\\n u'total': 1\\n })\\n\\n @authorized()\\n def test_update_metadata(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data,\\n \\\"metadata\\\": {\\n \\\"some\\\": \\\"data\\\"\\n }\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(new_batch._metadata, {\\n \\\"some\\\": \\\"data\\\"\\n })\\n\\n @authorized()\\n def test_update_only_metadata(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n }\\n\\n result = self.test_client.post('/batch/update_metadata/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data,\\n \\\"metadata\\\": {\\n \\\"some\\\": \\\"data\\\"\\n }\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(new_batch._metadata, {\\n \\\"some\\\": \\\"data\\\"\\n })\\n\\n @authorized()\\n def test_definalize_forced(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n sqldb.session.commit()\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n pp1_id = person.id\\n co_id = company.id\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\",\\n \\\"general_manager\\\": \\\"%s_person\\\" % person.id,\\n \\\"some_db_object\\\": \\\"%s_company\\\" % company.id\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n self.assertTrue(data)\\n\\n self.assertEqual(CompanyDbObject.query.count(), 1)\\n self.assertEqual(PrivatePersonDbObject.query.count(), 2)\\n\\n PrivatePersonDbObject.query.filter_by(_copy=None).update({\\n 'name': u\\\"НовоеИмя\\\"\\n })\\n sqldb.session.commit()\\n\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n\\n for key in ('metadata', 'name', 'all_docs'):\\n del data['batches'][0][key]\\n\\n self.assertEqual(data, {\\n u'batches': [{\\n u'batch_type': DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n u'creation_date': new_batch.creation_date.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n u'data': {\\n u'general_manager': u'%s_person' % person.id,\\n u'short_name': u'Новое наименование',\\n u'some_db_object': u'%s_company' % company.id\\n },\\n u'finalisation_date': new_batch.finalisation_date.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n u'id': new_batch.id,\\n u'paid': u'false',\\n u'result_fields': {\\n u'name': u'Новое наименование'\\n },\\n u'status': u'finalised'\\n }],\\n u'count': 1,\\n u'total': 1\\n })\\n\\n result = self.test_client.post('/batch/unfinalise/', data={\\n 'batch_id': new_batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIn('result', data)\\n self.assertNotIn('error', data)\\n\\n @authorized()\\n def test_validation_errors_on_update(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n sqldb.session.commit()\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n person.name = u\\\"\\\"\\n person.address = {\\n \\\"region\\\": u\\\"непонятно какой\\\",\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house\\\": \\\"4\\\"\\n }\\n\\n company.full_name = u\\\"\\\"\\n company.inn = 123\\n\\n sqldb.session.commit()\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование, но очень очень очень очень очень очень длинное\\\",\\n \\\"general_manager\\\": \\\"%s_person\\\" % person.id,\\n \\\"some_db_object\\\": \\\"%s_company\\\" % company.id\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIn('result', data)\\n self.assertNotIn('error', data)\\n for key in ('batch_type', 'creation_date', 'id', 'metadata', 'name', 'paid', 'status', 'all_docs'):\\n del data['result'][key]\\n self.assertEqual(data['result'], {\\n u'data': {\\n u'general_manager': u'%s_person' % person.id,\\n u'short_name': u'Новое наименование, но очень очень очень очень очень очень длинное',\\n u'some_db_object': u'%s_company' % company.id\\n },\\n u'error_info': {\\n u'error_ext': [{\\n u'error_code': 5,\\n u'field': u'short_name'\\n }, {\\n u'error_code': 5,\\n u'field': u'general_manager.name'\\n }, {\\n u'error_code': 4,\\n u'field': u'general_manager.address.index'\\n }, {\\n u'error_code': 4,\\n u'field': u'general_manager.address.house_type'\\n }, {\\n u'error_code': 4,\\n u'field': u'general_manager.address.region'\\n }, {\\n u'error_code': 5,\\n u'field': u'some_db_object.inn'\\n }]\\n },\\n u'result_fields': {\\n u'name': u'Новое наименование, но очень очень очень очень очень очень длинное'\\n }\\n })\\n\\n @authorized()\\n def test_validation_errors_on_finalise(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"\\\",\\n surname=u\\\"\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='invalid'\\n )\\n sqldb.session.add(company_person)\\n sqldb.session.commit()\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование и уже очень очень очень очень очень длинное\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n },\\n \\\"some_db_object\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": company.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_EDITED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование и уже очень очень очень очень очень длинное\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n\\n second_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_3,\\n data={\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n },\\n \\\"some_db_object\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": company.id\\n }\\n }\\n )\\n sqldb.session.add(second_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIn('result', data)\\n self.assertNotIn('error', data)\\n self.assertFalse(data['result'])\\n\\n result = self.test_client.get('/batch/?batch_id=%s' % new_batch.id)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)['result']\\n for key in ('batch_type', 'creation_date', 'id', 'metadata', 'name', 'paid', 'status', 'all_docs'):\\n del data['batches'][0][key]\\n self.assertEqual(data['batches'][0], {\\n u'data': {\\n u'general_manager': u'%s_person' % person.id,\\n u'short_name': u'Старое наименование и уже очень очень очень очень очень длинное',\\n u'some_db_object': u'%s_company' % company.id\\n },\\n u'error_info': {\\n u'error_ext': [{\\n u'error_code': 5,\\n u'field': u'short_name'\\n }, {\\n u'error_code': 5,\\n u'field': u'general_manager.surname'\\n }, {\\n u'error_code': 5,\\n u'field': u'general_manager.name'\\n }, {\\n u'error_code': 4,\\n u'field': u'some_db_object.general_manager.birthplace'\\n }, {\\n u'error_code': 4,\\n u'field': u'some_db_object.general_manager.sex'\\n }, {\\n u'error_code': 4,\\n u'field': u'some_db_object.address.region'\\n }]\\n },\\n u'result_fields': {}\\n })\\n\\n @authorized()\\n def test_do_not_update_service_fields(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n original_creation_date = new_batch.creation_date\\n original_finalization_date = new_batch.finalisation_date\\n\\n data = {\\n \\\"short_name\\\": u\\\"Новое наименование\\\",\\n \\\"creation_date\\\": datetime.utcnow(),\\n \\\"finalisation_date\\\": datetime.utcnow(),\\n \\\"paid\\\": True,\\n \\\"error_info\\\": {},\\n \\\"deleted\\\": True,\\n \\\"batch_type\\\": \\\"invalid\\\"\\n }\\n\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': new_batch.id,\\n 'batch': json.dumps({\\n \\\"data\\\": data\\n })\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(len(new_batch._documents), 1)\\n doc = new_batch._documents[0]\\n self.assertEqual(doc.data, {\\n \\\"short_name\\\": u\\\"Новое наименование\\\"\\n })\\n self.assertEqual(doc.status, UserDocumentStatus.DS_NEW)\\n\\n new_batch = DocumentBatchDbObject.query.first()\\n self.assertEqual(new_batch.creation_date, original_creation_date)\\n self.assertEqual(new_batch.finalisation_date, original_finalization_date)\\n self.assertEqual(new_batch.paid, False)\\n self.assertEqual(new_batch.error_info, None)\\n self.assertEqual(new_batch.deleted, False)\\n self.assertEqual(new_batch.batch_type, DocumentBatchTypeEnum.DBT_TEST_TYPE)\\n\\n @authorized()\\n def test_finalize_wrong_batch_status(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_FINALISED,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIn('result', data)\\n self.assertTrue('result', data)\\n self.assertNotIn('error', data)\\n\\n new_batch_finalising = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_BEING_FINALISED,\\n paid=False\\n )\\n sqldb.session.add(new_batch_finalising)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch_finalising.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertNotIn('result', data)\\n self.assertEqual(data['error'], {\\n u'message': u'Пакет документов не может быть финализирован',\\n u'code': 203\\n })\\n\\n new_batch_defin = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={},\\n _owner=self.user,\\n status=BatchStatusEnum.BS_DEFINALIZING,\\n paid=False\\n )\\n sqldb.session.add(new_batch_defin)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch_defin.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertNotIn('result', data)\\n self.assertEqual(data['error'], {\\n u'message': u'Пакет документов не может быть финализирован',\\n u'code': 203\\n })\\n\\n @authorized()\\n def test_render_single_document(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n },\\n \\\"some_db_object\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": company.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner = self.user\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_render_single_document_fail_on_make_document(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\",\\n living_country_code=0\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n },\\n \\\"some_db_object\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": company.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 2)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(batch=new_batch).count(), 2)\\n new_doc = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one()\\n self.assertEqual(new_doc.status, UserDocumentStatus.DS_RENDERING_FAILED)\\n self.assertEqual(new_doc._celery_task_id, None)\\n self.assertEqual(new_doc._celery_task_started, None)\\n\\n @authorized()\\n def test_render_single_document_that_can_not_be_created(self):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 2)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(batch=new_batch).count(), 2)\\n new_doc = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one()\\n self.assertEqual(new_doc.status, UserDocumentStatus.DS_RENDERING_FAILED)\\n self.assertEqual(new_doc._celery_task_id, None)\\n self.assertEqual(new_doc._celery_task_started, None)\\n\\n @authorized()\\n def test_render_single_document_fail_on_validate(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n new_batch = DocumentBatchDbObject.query.filter_by(id=new_batch.id).one()\\n self.assertEqual(BatchDocumentDbObject.query.count(), 2)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(batch=new_batch).count(), 2)\\n new_doc = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one()\\n self.assertEqual(new_doc.status, UserDocumentStatus.DS_RENDERING_FAILED)\\n self.assertEqual(new_doc._celery_task_id, None)\\n self.assertEqual(new_doc._celery_task_started, None)\\n self.assertEqual(new_batch.error_info, {\\n u'error_ext': [{\\n u'error_code': 5,\\n u'field': u'test_doc_validation'\\n }]\\n })\\n\\n @authorized()\\n def test_render_single_document_merge_error_info(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n\\n new_batch.error_info = {\\n 'error_ext': [{\\n 'field': 'short_name',\\n 'error_code': 5\\n }]\\n }\\n sqldb.session.commit()\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n new_batch = DocumentBatchDbObject.query.filter_by(id=new_batch.id).one()\\n self.assertEqual(BatchDocumentDbObject.query.count(), 2)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(batch=new_batch).count(), 2)\\n new_doc = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one()\\n self.assertEqual(new_batch.error_info, {\\n u'error_ext': [{\\n u'error_code': 5,\\n u'field': u'short_name'\\n }, {\\n u'error_code': 5,\\n u'field': u'test_doc_validation'\\n }]\\n })\\n self.assertEqual(new_doc.status, UserDocumentStatus.DS_RENDERING_FAILED)\\n self.assertEqual(new_doc._celery_task_id, None)\\n self.assertEqual(new_doc._celery_task_started, None)\\n\\n @authorized()\\n def test_get_document_being_rendered(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner=self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n result = self.test_client.get('/batch/render_document/state/?batch_id=%s&document_types=[\\\"%s\\\"]' %\\n (new_batch.id, DocumentTypeEnum.DT_TEST_DOC_3))\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n file_obj = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one().file\\n self.assertIsNotNone(file_obj)\\n self.assertEqual(data, [{\\n u'document_type': u'test_doc_3',\\n u'links': {\\n u'jpeg': [],\\n u'pdf': FileStorage.get_url(file_obj, self.config)\\n },\\n u'state': u'rendered'\\n }])\\n\\n @authorized()\\n def test_render_single_document_doc_builder_failure(self):\\n pass # todo:\\n\\n @authorized()\\n def test_render_single_document_soft_time_limit_exceeded(self):\\n pass # todo:\\n\\n @authorized()\\n def test_regenerate_document(self):\\n person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя\\\",\\n surname=u\\\"СтараяФамилия\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='male',\\n birthplace=u\\\"Неизвестно где\\\"\\n )\\n sqldb.session.add(person)\\n\\n company_person = PrivatePersonDbObject(\\n _owner=self.user,\\n name=u\\\"СтароеИмя2\\\",\\n surname=u\\\"СтараяФамилия2\\\",\\n birthdate=datetime.now() - timedelta(days=365 * 30),\\n sex='female',\\n birthplace=u\\\"Неизвестно где2\\\"\\n )\\n sqldb.session.add(company_person)\\n sqldb.session.commit()\\n\\n company = CompanyDbObject(\\n _owner=self.user,\\n inn=u\\\"6514008400\\\",\\n ogrn=u\\\"1086507000029\\\",\\n kpp=u\\\"651401001\\\",\\n full_name=u\\\"Полное наименование\\\",\\n short_name=u\\\"Краткое наименование\\\",\\n address={\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n \\\"street_type\\\": StreetTypeEnum.STT_BOULEVARD,\\n \\\"street\\\": u\\\"Мотоциклистов\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"4\\\"\\n },\\n general_manager= {\\n '_id': company_person.id,\\n 'type': 'person'\\n }\\n )\\n sqldb.session.add(company)\\n sqldb.session.commit()\\n\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_TEST_TYPE,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\",\\n \\\"general_manager\\\": {\\n \\\"type\\\": \\\"person\\\",\\n \\\"_id\\\": person.id\\n },\\n \\\"some_db_object\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": company.id\\n }\\n },\\n _owner=self.user,\\n status=BatchStatusEnum.BS_NEW,\\n paid=False\\n )\\n sqldb.session.add(new_batch)\\n\\n first_doc = BatchDocumentDbObject(\\n batch=new_batch,\\n document_type=DocumentTypeEnum.DT_TEST_DOC_1,\\n _owner = self.user,\\n data={\\n \\\"short_name\\\": u\\\"Старое наименование\\\"\\n }\\n )\\n sqldb.session.add(first_doc)\\n sqldb.session.commit()\\n\\n result = self.test_client.post('/batch/finalise/', data={\\n 'batch_id': new_batch.id\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertTrue(data['result'])\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(BatchDocumentDbObject.query.count(), 2)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(batch=new_batch).count(), 2)\\n new_doc = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one()\\n self.assertEqual(new_doc.status, UserDocumentStatus.DS_RENDERED)\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': new_batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_TEST_DOC_3])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n self.assertEqual(BatchDocumentDbObject.query.count(), 2)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(batch=new_batch).count(), 2)\\n new_doc = BatchDocumentDbObject.query.filter(BatchDocumentDbObject.id != first_doc.id).one()\\n self.assertEqual(new_doc.status, UserDocumentStatus.DS_RENDERED)\\n\\n @authorized()\\n def test_render_doc_preview(self):\\n pass\\n\\n @authorized()\\n def test_finalize_not_my_batch(self):\\n pass\\n\\n @authorized()\\n def test_finalize_incomplete_batch(self):\\n pass\\n\\n @authorized()\\n def test_update_batch_in_status_render_failed_(self):\\n pass\\n\\n @authorized()\\n def test_cancel_finalization(self):\\n pass\\n\\n @authorized()\\n def test_generate_new_document_batch_finalised(self):\\n pass\\n\\n @authorized()\\n def test_generate_new_document_already_rendering(self):\\n pass\\n\\n @authorized()\\n def _test_async_render_separate_document(self):\\n founder = PrivatePersonDbObject(**{\\n \\\"_owner\\\": self.user,\\n \\\"name\\\": u\\\"Прокл\\\",\\n \\\"surname\\\": u\\\"Поликарпов\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"birthdate\\\": datetime.now() - timedelta(days=365 * 30),\\n \\\"birthplace\\\": u\\\"Россия, деревня Гадюкино\\\",\\n \\\"passport\\\": {\\n \\\"document_type\\\": PersonDocumentTypeEnum.PD_INTERNAL,\\n \\\"series\\\": u\\\"1123\\\",\\n \\\"number\\\": u\\\"192837\\\",\\n \\\"issue_date\\\": datetime.now(),\\n \\\"issue_depart\\\": u\\\"УМВД Гадюкинского района Гадюкинской области\\\",\\n \\\"depart_code\\\": u\\\"111987\\\"\\n },\\n \\\"ogrnip\\\": \\\"123456789012345\\\",\\n \\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 198209,\\n },\\n })\\n founder.insert(self.db)\\n\\n doc_data = {\\n \\\"full_name\\\": u\\\"образовательное учреждение дополнительного образования\\\",\\n \\\"short_name\\\": u\\\"Бокс\\\",\\n \\\"doc_date\\\": datetime.now(),\\n \\\"selected_secretary\\\": founder.id,\\n \\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 123131,\\n \\\"ifns\\\": 1234\\n },\\n u\\\"starter_capital\\\": {\\n u\\\"capital_type\\\": CompanyStarterCapitalTypeEnum.CSC_USTAVNOY_CAPITAL,\\n u\\\"value\\\": {\\n \\\"currency\\\": \\\"RUB\\\",\\n \\\"value\\\": \\\"12312.234234\\\"\\n }\\n },\\n \\\"general_manager\\\": founder.id,\\n \\\"general_manager_caption\\\": u\\\"разнорабочий\\\",\\n \\\"selected_moderator\\\": founder.id,\\n \\\"reg_responsible_person\\\": founder.id,\\n \\\"founders\\\": [{\\n \\\"founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"person\\\": founder.id,\\n \\\"share\\\": {\\n \\\"type\\\": \\\"percent\\\",\\n \\\"value\\\": 100\\n },\\n \\\"nominal_capital\\\": 7466,\\n }],\\n \\\"founder_applicant\\\": {\\n \\\"founder_type\\\": FounderTypeEnum.FT_PERSON,\\n \\\"person\\\": founder.id,\\n \\\"share\\\": {\\n \\\"type\\\": \\\"percent\\\",\\n \\\"value\\\": 100\\n },\\n \\\"nominal_capital\\\": 7466,\\n }\\n }\\n\\n new_user_doc = UserDocument()\\n new_user_doc.parse_raw_value(dict(document_type=DocumentTypeEnum.DT_PROTOCOL, data=doc_data), None, False)\\n\\n doc_list = [\\n new_user_doc.db_value()\\n ]\\n new_batch_db_object = DocumentBatchDbObject(documents=doc_list, batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n status=BatchStatusEnum.BS_NEW, _owner=self.user)\\n new_batch_db_object.insert(current_app.db)\\n\\n result = self.test_client.get('/batch/document/state/?batch_id=%s&document_id=%s' % (\\n unicode(new_batch_db_object.id), unicode(new_user_doc.id.db_value())))\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n del result_data['result']['document_id']\\n self.assertEqual(result_data, {u'result': {u'state': u'new', u'links': {u'pdf': None, u'jpeg': []}}})\\n\\n result = self.test_client.post('/batch/document/render/', data={'batch_id': unicode(new_batch_db_object.id),\\n 'document_id': unicode(\\n new_user_doc.id.db_value())})\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertEqual(result_data, {u'result': True})\\n\\n result = self.test_client.get('/batch/document/state/?batch_id=%s&document_id=%s' % (\\n unicode(new_batch_db_object.id), unicode(new_user_doc.id.db_value())))\\n self.assertEqual(result.status_code, 200)\\n result_data = json.loads(result.data)\\n self.assertEqual(result_data['result']['state'], 'rendered')\\n self.assertTrue(result_data['result']['links']['pdf'].startswith(u'http://service.zz/storage/'))\\n\\n @authorized()\\n def test_fin_defin_cyclic_references(self):\\n pass # todo:\\n\\n @authorized()\\n def test_get_batches_with_prefetched_items(self):\\n with self.app.app_context():\\n batch = self.create_batch('_test', self.user)\\n p1 = self.create_person(self.user, batch_id=batch.id)\\n c1 = self.create_company(self.user, batch_id=batch.id)\\n data = {\\n 'general_manager': {\\n '_id': p1.id,\\n 'type': 'person'\\n },\\n 'some_db_object': {\\n '_id': c1.id,\\n 'type': 'company'\\n }\\n }\\n p2 = self.create_person(self.user, batch_id=batch.id)\\n c2 = self.create_company(self.user, batch_id=batch.id)\\n data2 = {\\n 'general_manager': {\\n '_id': p1.id,\\n 'type': 'person'\\n },\\n 'some_db_object': {\\n '_id': c1.id,\\n 'type': 'company'\\n }\\n }\\n doc1 = self.create_document('test_doc_3', batch, data=data)\\n doc2 = self.create_document('test_doc_3', batch, data=data2)\\n\\n result = self.test_client.get('/batch/')\\n self.assertEqual(result.status_code, 200)\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6821305751800537,\n \"alphanum_fraction\": 0.6838487982749939,\n \"avg_line_length\": 24.30434799194336,\n \"blob_id\": \"58fbb1ead84b5449248f7649e283c3c5b7d99d72\",\n \"content_id\": \"63c5e5232d261966b8ba6e57b41959b57b8ea9b3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 582,\n \"license_type\": \"no_license\",\n \"max_line_length\": 65,\n \"num_lines\": 23,\n \"path\": \"/app/deployment_migrations/migration_list/20150723_add_table_for_celery_scheduler.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Add table for celery scheduler\\\")\\n\\n sqldb.session.close()\\n sqldb.engine.execute(u\\\"\\\"\\\"CREATE TABLE celery_scheduled_task (\\n id VARCHAR NOT NULL,\\n task_name VARCHAR,\\n created TIMESTAMP WITHOUT TIME ZONE NOT NULL,\\n eta TIMESTAMP WITHOUT TIME ZONE NOT NULL,\\n sent BOOLEAN,\\n args JSONB,\\n kwargs JSONB,\\n PRIMARY KEY (id)\\n)\\\"\\\"\\\")\\n\\n\\ndef rollback(config, logger):\\n sqldb.session.close()\\n sqldb.engine.execute(\\\"DROP table celery_scheduled_task;\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.5726495981216431,\n \"alphanum_fraction\": 0.5925925970077515,\n \"avg_line_length\": 34.099998474121094,\n \"blob_id\": \"99b785e54d6c7b4b16ef4a68ea66da0429fd4251\",\n \"content_id\": \"f1cc122b82c456d2b9e54e9dc103bb122fe469c0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": true,\n \"language\": \"Python\",\n \"length_bytes\": 1053,\n \"license_type\": \"no_license\",\n \"max_line_length\": 103,\n \"num_lines\": 30,\n \"path\": \"/app/fw/cache/cache_wrapper.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport memcache\\n\\n\\nclass CacheWrapper(object):\\n\\n def __init__(self):\\n self._cache = None\\n\\n def _call(self, f, *args, **kwargs):\\n from flask import current_app\\n try:\\n return f(*args, **kwargs)\\n except Exception, ex:\\n print(u\\\"Failed to call memcached function %s with\\\" % unicode(f))\\n self._cache = memcache.Client(['%s:11211' % current_app.config['MEMCACHED_HOST']], debug=0)\\n raise\\n\\n def get(self, key):\\n from flask import current_app\\n if not self._cache:\\n self._cache = memcache.Client(['%s:11211' % current_app.config['MEMCACHED_HOST']], debug=0)\\n return self._call(self._cache.get, key)\\n\\n def set(self, key, val, time=0, min_compress_len=0):\\n from flask import current_app\\n if not self._cache:\\n self._cache = memcache.Client(['%s:11211' % current_app.config['MEMCACHED_HOST']], debug=0)\\n return self._call(self._cache.set, key, val, time=time, min_compress_len=min_compress_len)\\n\"\n },\n {\n \"alpha_fraction\": 0.5407457947731018,\n \"alphanum_fraction\": 0.5494047999382019,\n \"avg_line_length\": 40.40696334838867,\n \"blob_id\": \"148ffd1b35d18ff1dd3cb0349fdb9665c202b789\",\n \"content_id\": \"ad141ef94aa7d155c23b85ac6371c19f8448e86f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 76862,\n \"license_type\": \"no_license\",\n \"max_line_length\": 173,\n \"num_lines\": 1838,\n \"path\": \"/jb_tests/test_pack/test_api.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom datetime import datetime, timedelta\\nimport pickle\\nimport random\\nimport string\\n\\nfrom flask import json, current_app\\nfrom bson.objectid import ObjectId\\n\\nfrom base_test_case import BaseTestCase, authorized, registered_user\\nfrom fw.api import errors\\nfrom fw.api.errors import UserNotFound, ActivationCodeExpiredOrInvalid\\nfrom fw.api.sql_session_storage import Session\\nfrom fw.auth.encrypt import encrypt_password\\nfrom fw.auth.models import AuthUser, UserActivationLink, ConfirmationLinkTypeEnum, AuthorizationUrl\\nfrom fw.auth.user_manager import UserManager\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.address_enums import RFRegionsEnum, HouseTypeEnum, FlatTypeEnum\\nfrom fw.documents.address_enums import StreetTypeEnum\\nfrom fw.documents.db_fields import PrivatePersonDbObject, CompanyDbObject, DocumentBatchDbObject, BatchDocumentDbObject\\nfrom fw.documents.enums import CompanyTypeEnum, DocumentTypeEnum, BatchStatusEnum, DocumentBatchTypeEnum\\nfrom services.ifns.data_model.fields import IfnsBooking\\nfrom services.llc_reg.documents.enums import IfnsServiceEnum\\nfrom services.notarius.data_model.models import NotariusBookingObject, NotariusObject\\nfrom services.yurist.data_model.enums import YuristBatchCheckStatus\\nfrom services.yurist.data_model.fields import YuristBatchCheck\\n\\n\\nclass ApiTestCase(BaseTestCase):\\n def setUp(self):\\n super(ApiTestCase, self).setUp()\\n\\n def tearDown(self):\\n super(ApiTestCase, self).tearDown()\\n\\n def _make_ua_link(self, use_chars, link_type, user_id=None, new_mobile=None, new_email=None):\\n max_activation_link_length = self.config['max_activation_link_length']\\n digital_activation_link_length = self.config['digital_activation_link_length']\\n\\n if use_chars:\\n link_code = u''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(max_activation_link_length))\\n else:\\n link_code = u''.join(random.choice(string.digits) for _ in range(digital_activation_link_length))\\n recovery_link = UserActivationLink(\\n link_code=link_code,\\n auth_user_id=user_id,\\n link_type=link_type\\n )\\n if new_mobile is not None:\\n recovery_link.new_mobile = new_mobile\\n if new_email is not None:\\n recovery_link.new_email = new_email\\n\\n return recovery_link\\n\\n @authorized(is_temporal=True)\\n def test_logout_temp_user(self):\\n result = self.test_client.post('/account/logout/')\\n self.assertEqual(result.status_code, 403)\\n\\n def test_authorize_temporary_user(self):\\n result = self.test_client.post('/account/login/temporal/')\\n self.assertEqual(result.status_code, 200)\\n\\n user = AuthUser.query.first()\\n self.assertTrue(user.temporal)\\n\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n del result_data['result']['id']\\n del result_data['result']['registration_date']\\n self.assertEqual(result_data['result'], {\\n u'email': u'',\\n u'email_confirmed': False,\\n u'mobile': u'',\\n u'mobile_confirmed': False,\\n u'person': {\\n u'name': u'',\\n u'patronymic': u'',\\n u'surname': u''\\n },\\n u'facebook': None,\\n u'vk': None,\\n u'subscription': None,\\n u'temporal': True,\\n u'password_set': False,\\n u'role': [u'user']\\n })\\n\\n result = self.test_client.get('/account/profile/')\\n self.assertEqual(result.status_code, 200)\\n\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n del result_data['result']['id']\\n del result_data['result']['registration_date']\\n self.assertEqual(result_data['result'], {\\n u'email': u'',\\n u'email_confirmed': False,\\n u'mobile': u'',\\n u'mobile_confirmed': False,\\n u'person': {\\n u'name': u'',\\n u'patronymic': u'',\\n u'surname': u''\\n },\\n u'facebook': None,\\n u'vk': None,\\n u'subscription': None,\\n u'temporal': True,\\n u'password_set': False,\\n u'role': [u'user']\\n })\\n\\n def test_authorize_temporary_user_while_authorized_temporary_user(self):\\n result = self.test_client.post('/account/login/temporal/')\\n self.assertEqual(result.status_code, 200)\\n\\n user = AuthUser.query.first()\\n self.assertTrue(user.temporal)\\n\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n id1 = result_data['result']['id']\\n del result_data['result']['id']\\n del result_data['result']['registration_date']\\n self.assertEqual(result_data['result'], {\\n u'email': u'',\\n u'email_confirmed': False,\\n u'mobile': u'',\\n u'mobile_confirmed': False,\\n u'person': {\\n u'name': u'',\\n u'patronymic': u'',\\n u'surname': u''\\n },\\n u'facebook': None,\\n u'vk': None,\\n u'subscription': None,\\n u'temporal': True,\\n u'password_set': False,\\n u'role': [u'user']\\n })\\n\\n result = self.test_client.post('/account/login/temporal/')\\n self.assertEqual(result.status_code, 200)\\n\\n user = AuthUser.query.first()\\n self.assertTrue(user.temporal)\\n\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n self.assertEqual(id1, result_data['result']['id'])\\n del result_data['result']['id']\\n del result_data['result']['registration_date']\\n self.assertEqual(result_data['result'], {\\n u'email': u'',\\n u'email_confirmed': False,\\n u'mobile': u'',\\n u'mobile_confirmed': False,\\n u'person': {\\n u'name': u'',\\n u'patronymic': u'',\\n u'surname': u''\\n },\\n u'facebook': None,\\n u'vk': None,\\n u'subscription': None,\\n u'temporal': True,\\n u'password_set': False,\\n u'role': [u'user']\\n })\\n\\n @authorized()\\n def test_authorize_temporary_user_while_authorized_persistent_user(self):\\n result = self.test_client.post('/account/login/temporal/')\\n self.assertEqual(result.status_code, 200)\\n\\n user = AuthUser.query.first()\\n self.assertFalse(user.temporal)\\n\\n result_data = json.loads(result.data)\\n self.assertIn('result', result_data)\\n self.assertNotIn('error', result_data)\\n\\n del result_data['result']['id']\\n del result_data['result']['registration_date']\\n self.assertEqual(result_data['result'], {\\n u'email': u'test@somedomain.zz',\\n u'email_confirmed': True,\\n u'mobile': u'+79001112233',\\n u'mobile_confirmed': True,\\n u'person': {\\n u'name': u'Name',\\n u'surname': u'Surname',\\n u'patronymic': u'Patronymic'\\n },\\n u'facebook': None,\\n u'vk': None,\\n u'subscription': None,\\n u'temporal': False,\\n u'password_set': True,\\n u'role': [u'user']\\n })\\n\\n def test_sign_up_email(self):\\n with self.app.app_context():\\n args = {\\n 'name': u'Станислав'.encode('utf8'),\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n uid = data['result']['id']\\n self.assertEqual(data['result']['email'], 'test@somedomain.zz')\\n user = AuthUser.query.filter_by(uuid=uid).first()\\n self.assertIsNotNone(user)\\n self.assertFalse(user.email_confirmed)\\n self.assertLess((datetime.utcnow() - user.signup_date).total_seconds(), 10)\\n self.assertIsNotNone(user.last_login_date)\\n self.assertTrue(user.enabled)\\n\\n # user_profile_obj = UserProfile.find_one(current_app.db, {'auth_user_id': user.id})\\n # self.assertIsNotNone(user_profile_obj)\\n\\n self.assertEqual(len(self.mailer.mails), 1)\\n\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n self.assertEqual(user_activation_link.auth_user_id, user.id)\\n self.assertEqual(len(user_activation_link.link_code), self.config['max_activation_link_length'])\\n self.assertTrue(user_activation_link.link_code.isalnum())\\n self.assertLess((datetime.utcnow() - user_activation_link.creation_date).total_seconds(), 10)\\n self.assertIsNone(user_activation_link.used_date)\\n self.assertEqual(user_activation_link.new_email, 'test@somedomain.zz')\\n\\n result = self.test_client.get('/account/profile/')\\n\\n self.assertEqual(result.status_code, 200)\\n\\n def test_get_profile_unauthorized(self):\\n with self.app.app_context():\\n result = self.test_client.get('/account/profile/')\\n\\n self.assertEqual(result.status_code, 403)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error = data['error']\\n self.assertIn('code', error)\\n self.assertEqual(error['code'], 100)\\n\\n @authorized()\\n def test_get_profile_authorized(self):\\n with self.app.app_context():\\n result = self.test_client.get('/account/profile/')\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n def test_sign_up_short_password(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'email': 'test@somedomain.zz',\\n 'password': 'shrtp'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error = data['error']\\n self.assertIn('code', error)\\n self.assertEqual(error['code'], 109)\\n\\n def test_sign_up_simple_password(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'email': 'test@somedomain.zz',\\n 'password': 'longbutverysimple'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertNotIn('error', data)\\n\\n def test_sign_up_no_uppercase_in_password(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'email': 'test@somedomain.zz',\\n 'password': 'longbutverysimple123_'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertNotIn('error', data)\\n\\n def test_sign_up_no_email_no_phone(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'password': 'shrtpw'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 400)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error = data['error']\\n self.assertIn('code', error)\\n self.assertEqual(error['code'], 4)\\n\\n def test_sign_up_invalid_email(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'password': 'shrtpw',\\n 'email': 'invalid'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 400)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error = data['error']\\n self.assertIn('code', error)\\n self.assertEqual(error['code'], 5)\\n\\n def test_sign_up_duplicate_email(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n self.test_client.post('/account/logout/', data={})\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n\\n def test_sign_up_duplicate_activated_email(self):\\n with self.app.app_context():\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n\\n user_activation_link = UserActivationLink.query.first()\\n user = AuthUser.query.first()\\n\\n args = {\\n 'user_id': user.id,\\n 'type': 'email',\\n 'code': user_activation_link.link_code\\n }\\n result = self.test_client.post('/account/confirm/', data=args)\\n self.assertEqual(result.status_code, 200)\\n\\n self.test_client.post('/account/logout/', data={})\\n args = {\\n 'name': 'ТестовоеИмя',\\n 'surname': 'ТестоваяФамилия',\\n 'patronymic': 'ТестовоеОтчество',\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n\\n @registered_user()\\n def test_login_email(self):\\n args = {'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'}\\n\\n result = self.test_client.post('/account/login/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n def test_logout(self):\\n with self.app.app_context():\\n args = {\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n self.test_client.post('/account/create/', data=args)\\n user = AuthUser.query.first()\\n\\n user_activation_link = UserActivationLink.query.first()\\n args = {\\n 'user_id': user.id,\\n 'type': 'email',\\n 'code': user_activation_link.link_code\\n }\\n\\n result = self.test_client.post('/account/confirm/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n\\n args = {'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'}\\n\\n result = self.test_client.post('/account/login/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n\\n #cookie = result.headers['Set-Cookie'].split('=')[1].split(';')[0]\\n #self.test_client.set_cookie('localhost', u'_jbuid_', cookie)\\n result = self.test_client.post('/account/logout/')\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n self.assertEqual(data['result'], 'OK')\\n\\n def test_logout_unauthorized(self):\\n result = self.test_client.post('/account/logout/')\\n self.assertEqual(result.status_code, 403)\\n\\n def test_activate_by_email_link(self):\\n with self.app.app_context():\\n args = {\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n\\n user = AuthUser.query.first()\\n self.assertIsNotNone(user)\\n self.assertTrue(user.enabled)\\n\\n# user_profile_obj = UserProfile.find_one(current_app.db, {'auth_user_id': user.id})\\n\\n self.assertFalse(user.mobile_confirmed)\\n self.assertFalse(user.email_confirmed)\\n\\n args = {\\n 'user_id': user.uuid,\\n 'type': 'email',\\n 'code': user_activation_link.link_code\\n }\\n result = self.test_client.post('/account/confirm/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n self.assertTrue(data['result'])\\n user = AuthUser.query.first()\\n self.assertTrue(user.enabled)\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link.used_date)\\n self.assertLess((user_activation_link.used_date - datetime.utcnow()).total_seconds(), 10)\\n\\n self.assertFalse(user.mobile_confirmed)\\n self.assertTrue(user.email_confirmed)\\n\\n # def test_activate_by_email_link_get_method(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # result = self.test_client.post('/account/create/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link)\\n #\\n # user = AuthUser.query.first()\\n # self.assertIsNotNone(user)\\n # self.assertFalse(user.enabled)\\n #\\n # user_profile_obj = UserProfile.find_one(current_app.db, {'auth_user_id' : user.id})\\n # self.assertIsNotNone(user_profile_obj)\\n #\\n # self.assertFalse(user.mobile_confirmed)\\n # self.assertFalse(user.email_confirmed)\\n #\\n # result = self.test_client.get('/account/confirm/?user_id=%s&type=%s&code=%s' % (user.id, 'email', user_activation_link.link_code))\\n #\\n # self.assertEqual(result.status_code, 200)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('result', data)\\n # self.assertTrue(data['result'])\\n # user = AuthUser.query.first()\\n # self.assertTrue(user.enabled)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link.used_date)\\n # self.assertLess((user_activation_link.used_date - datetime.utcnow()).total_seconds(), 10)\\n #\\n # self.assertFalse(user.mobile_confirmed)\\n # self.assertTrue(user.email_confirmed)\\n\\n # def test_activation_code_not_found(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # result = self.test_client.post('/account/create/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link)\\n #\\n # user = AuthUser.query.first()\\n # self.assertIsNotNone(user)\\n # self.assertFalse(user.enabled)\\n #\\n # args = {\\n # 'user_id' : user.id,\\n # 'type' : 'email',\\n # 'code' : 'A' * self.config['max_activation_link_length']\\n # }\\n # result = self.test_client.post('/account/confirm/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('error', data)\\n # error = data['error']\\n # self.assertIn('code', error)\\n # self.assertEqual(error['code'], ActivationCodeExpiredOrInvalid.ERROR_CODE)\\n #\\n # user = AuthUser.query.first()\\n # self.assertFalse(user.enabled)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNone(user_activation_link.used_date)\\n\\n # def test_activation_code_malformed(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # result = self.test_client.post('/account/create/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link)\\n #\\n # user = AuthUser.query.first()\\n # self.assertIsNotNone(user)\\n # self.assertFalse(user.enabled)\\n #\\n # args = {\\n # 'user_id' : user.id,\\n # 'type' : 'email',\\n # 'code' : 'xyz'\\n # }\\n # result = self.test_client.post('/account/confirm/', data = args)\\n #\\n # self.assertEqual(result.status_code, 400)\\n #\\n # user = AuthUser.query.first()\\n # self.assertFalse(user.enabled)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNone(user_activation_link.used_date)\\n\\n # def test_email_not_activated(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # self.test_client.post('/account/create/', data = args)\\n #\\n # args = {'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'}\\n #\\n # result = self.test_client.post('/account/login/', data = args)\\n #\\n # data = json.loads(result.data)\\n # self.assertIn('error', data)\\n # error = data['error']\\n # self.assertIn('code', error)\\n # self.assertEqual(error['code'], errors.EmailIsNotConfirmed.ERROR_CODE)\\n\\n # def test_activate_already_activated(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # result = self.test_client.post('/account/create/', data = args)\\n #\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link)\\n #\\n # user = AuthUser.query.first()\\n # self.assertIsNotNone(user)\\n # self.assertFalse(user.enabled)\\n #\\n # args = {\\n # 'user_id' : user.id,\\n # 'type' : 'email',\\n # 'code' : user_activation_link.link_code\\n # }\\n # result = self.test_client.post('/account/confirm/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user = AuthUser.query.first()\\n # self.assertTrue(user.enabled)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link.used_date)\\n # self.assertLess((user_activation_link.used_date - datetime.utcnow()).total_seconds(), 10)\\n # result = self.test_client.post('/account/confirm/', data = args)\\n # self.assertEqual(result.status_code, 200)\\n # user = AuthUser.query.first()\\n # self.assertTrue(user.enabled)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('error', data)\\n # self.assertEqual(data['error']['code'], 108)\\n #\\n # def test_activate_by_alien_code(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # result = self.test_client.post('/account/create/', data = args)\\n #\\n # alien_user = AuthUser()\\n # alien_user.email = u'asdfasdfasdf'\\n # alien_user.password = u'asdfasdfasdfasdf'\\n # alien_user.signup_date = datetime.utcnow()\\n # alien_user.insert(current_app.db)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user_activation_link = UserActivationLink.query.first()\\n # self.assertIsNotNone(user_activation_link)\\n # user_activation_link.auth_user_id = alien_user.id\\n # user_activation_link.save(current_app.db)\\n #\\n # user = AuthUser.query.first()\\n # self.assertIsNotNone(user)\\n # self.assertFalse(user.enabled)\\n #\\n # args = {\\n # 'user_id' : user.id,\\n # 'type' : 'email',\\n # 'code' : user_activation_link.link_code\\n # }\\n # result = self.test_client.post('/account/confirm/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('error', data)\\n # error = data['error']\\n # self.assertIn('code', error)\\n # self.assertEqual(error['code'], ActivationCodeExpiredOrInvalid.ERROR_CODE)\\n #\\n # def test_activation_retries_count_exceeded(self):\\n # with self.app.app_context():\\n # args = {\\n # 'email' : 'test@somedomain.zz',\\n # 'password' : 'TestPassword123'\\n # }\\n # result = self.test_client.post('/account/create/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # user_activation_link = UserActivationLink.query.first()\\n # correct_code = user_activation_link.link_code\\n # self.assertIsNotNone(user_activation_link)\\n #\\n # user = AuthUser.query.first()\\n # self.assertIsNotNone(user)\\n # self.assertFalse(user.enabled)\\n #\\n # args = {\\n # 'user_id' : user.id,\\n # 'type' : 'email',\\n # 'code' : 'A' * self.config['max_activation_link_length']\\n # }\\n # for _ in xrange(self.config['max_activation_attempts_count']):\\n # result = self.test_client.post('/account/confirm/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('error', data)\\n # error = data['error']\\n # self.assertIn('code', error)\\n # self.assertEqual(error['code'], ActivationCodeExpiredOrInvalid.ERROR_CODE)\\n #\\n # result = self.test_client.post('/account/confirm/', data = args)\\n # self.assertEqual(result.status_code, 200)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('error', data)\\n # error = data['error']\\n # self.assertIn('code', error)\\n # self.assertEqual(error['code'], ActivationAttemptsCountExceeded.ERROR_CODE)\\n #\\n # args = {\\n # 'user_id' : user.id,\\n # 'type' : 'email',\\n # 'code' : correct_code\\n # }\\n # result = self.test_client.post('/account/confirm/', data = args)\\n #\\n # self.assertEqual(result.status_code, 200)\\n # data = json.loads(result.data)\\n # self.assertIsNotNone(data)\\n # self.assertIn('error', data)\\n # error = data['error']\\n # self.assertIn('code', error)\\n # self.assertEqual(error['code'], ActivationAttemptsCountExceeded.ERROR_CODE)\\n\\n def test_request_new_activation_code(self):\\n with self.app.app_context():\\n args = {\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n old_code = user_activation_link.link_code\\n old_code_id = user_activation_link.id\\n\\n user = AuthUser.query.first()\\n self.assertIsNotNone(user)\\n self.assertTrue(user.enabled)\\n\\n args = {\\n 'email': 'test@somedomain.zz'\\n }\\n result = self.test_client.post('/account/send_activation_code/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n self.assertTrue(data['result'])\\n\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n self.assertNotEqual(old_code, user_activation_link.link_code)\\n self.assertNotEqual(old_code_id, user_activation_link.id)\\n\\n self.assertEqual(user_activation_link.auth_user_id, user.id)\\n self.assertEqual(len(user_activation_link.link_code), self.config['max_activation_link_length'])\\n self.assertTrue(user_activation_link.link_code.isalnum())\\n self.assertLess((datetime.utcnow() - user_activation_link.creation_date).total_seconds(), 10)\\n self.assertIsNone(user_activation_link.used_date)\\n\\n old_code = user_activation_link.link_code\\n old_code_id = user_activation_link.id\\n\\n user = AuthUser.query.first()\\n self.assertIsNotNone(user)\\n self.assertTrue(user.enabled)\\n\\n result = self.test_client.post('/account/send_activation_code/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n self.assertTrue(data['result'])\\n\\n self.assertEqual(UserActivationLink.query.count(), 1)\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n self.assertNotEqual(old_code, user_activation_link.link_code)\\n self.assertNotEqual(old_code_id, user_activation_link.id)\\n\\n self.assertEqual(user_activation_link.auth_user_id, user.id)\\n self.assertEqual(len(user_activation_link.link_code), self.config['max_activation_link_length'])\\n self.assertTrue(user_activation_link.link_code.isalnum())\\n self.assertLess((datetime.utcnow() - user_activation_link.creation_date).total_seconds(), 10)\\n self.assertIsNone(user_activation_link.used_date)\\n\\n def test_request_new_activation_code_mobile(self):\\n with self.app.app_context():\\n args = {\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n old_code = user_activation_link.link_code\\n old_code_id = user_activation_link.id\\n UserActivationLink.query.filter_by(id=user_activation_link.id).delete()\\n\\n user = AuthUser.query.first()\\n new_link = self._make_ua_link(use_chars=False, new_mobile=\\\"+78881112233\\\", user_id=user.id,\\n link_type=ConfirmationLinkTypeEnum.CLT_MOBILE)\\n sqldb.session.add(new_link)\\n sqldb.session.commit()\\n\\n user = AuthUser.query.first()\\n self.assertIsNotNone(user)\\n self.assertTrue(user.enabled)\\n\\n args = {\\n 'mobile': '+78881112233'\\n }\\n result = self.test_client.post('/account/send_activation_code/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n self.assertTrue(data['result'])\\n\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n self.assertNotEqual(old_code, user_activation_link.link_code)\\n self.assertNotEqual(old_code_id, user_activation_link.id)\\n\\n self.assertEqual(user_activation_link.auth_user_id, user.id)\\n self.assertEqual(len(user_activation_link.link_code), self.config['digital_activation_link_length'])\\n self.assertTrue(user_activation_link.link_code.isalnum())\\n self.assertLess((datetime.utcnow() - user_activation_link.creation_date).total_seconds(), 10)\\n self.assertIsNone(user_activation_link.used_date)\\n\\n old_code = user_activation_link.link_code\\n old_code_id = user_activation_link.id\\n\\n self.assertIsNotNone(user)\\n self.assertTrue(user.enabled)\\n\\n result = self.test_client.post('/account/send_activation_code/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n self.assertTrue(data['result'])\\n\\n self.assertEqual(UserActivationLink.query.count(), 1)\\n user_activation_link = UserActivationLink.query.first()\\n self.assertIsNotNone(user_activation_link)\\n self.assertNotEqual(old_code, user_activation_link.link_code)\\n self.assertNotEqual(old_code_id, user_activation_link.id)\\n\\n self.assertEqual(user_activation_link.auth_user_id, user.id)\\n self.assertEqual(len(user_activation_link.link_code), self.config['digital_activation_link_length'])\\n self.assertTrue(user_activation_link.link_code.isalnum())\\n self.assertLess((datetime.utcnow() - user_activation_link.creation_date).total_seconds(), 10)\\n self.assertIsNone(user_activation_link.used_date)\\n\\n @authorized(is_temporal=True)\\n def test_update_profile_for_temporary_user(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.mailer.mails), 0)\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user.email, None)\\n new_email = 'newemail@somedomain.zz'\\n params = {\\n 'email': new_email\\n }\\n result = self.test_client.post('/account/profile/update/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n user_obj = data['result']\\n\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user_obj['email'], user.email)\\n self.assertEqual(user_obj['email'], new_email)\\n self.assertEqual(user.email_confirmed, False)\\n self.assertIsNotNone(user.password)\\n self.assertNotEqual(user.password, None)\\n\\n self.assertEqual(len(self.mailer.mails), 2)\\n\\n mail1 = self.mailer.mails[0]\\n self.assertEqual(mail1['message']['subject'], u'Регистрация на ЮРБЮРО')\\n\\n mail2 = self.mailer.mails[1]\\n self.assertEqual(mail2['message']['subject'], u'Подтвердите почтовый адрес в «ЮРБЮРО»')\\n\\n self.assertEqual(user.temporal, False)\\n self.assertEqual(user.id, self.user.id)\\n\\n @authorized()\\n def test_update_email(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.mailer.mails), 0)\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user.email, 'test@somedomain.zz')\\n new_email = 'newemail@somedomain.zz'\\n params = {\\n 'email': new_email\\n }\\n result = self.test_client.post('/account/profile/update/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n user_obj = data['result']\\n\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user_obj['email'], user.email)\\n self.assertEqual(user_obj['email'], new_email)\\n self.assertEqual(user.email_confirmed, False)\\n\\n self.assertEqual(len(self.mailer.mails), 1)\\n\\n @authorized()\\n def test_update_mobile(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.sms_sender.sms), 0)\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user.mobile, '+79001112233')\\n new_mobile = '+79003332211'\\n params = {\\n 'mobile': new_mobile\\n }\\n result = self.test_client.post('/account/profile/update/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n user_obj = data['result']\\n\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user_obj['mobile'], user.mobile)\\n self.assertEqual(user_obj['mobile'], new_mobile)\\n self.assertEqual(user.mobile_confirmed, False)\\n\\n self.assertEqual(len(self.sms_sender.sms), 1)\\n\\n @authorized()\\n def test_update_email_several_times(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.mailer.mails), 0)\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user.email, 'test@somedomain.zz')\\n new_email = 'newemail@somedomain.zz'\\n params = {\\n 'email': new_email\\n }\\n result = self.test_client.post('/account/profile/update/', data=params)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n user_obj = data['result']\\n\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n self.assertEqual(user_obj['email'], user.email)\\n self.assertEqual(user_obj['email'], new_email)\\n self.assertEqual(user.email_confirmed, False)\\n\\n self.assertEqual(len(self.mailer.mails), 1)\\n self.assertEqual(\\n UserActivationLink.query.filter_by(link_type=ConfirmationLinkTypeEnum.CLT_EMAIL).count(), 1)\\n\\n params = {\\n 'email': 'newemail2@somedomain.zz'\\n }\\n result = self.test_client.post('/account/profile/update/', data=params)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n self.assertEqual(\\n UserActivationLink.query.filter_by(link_type=ConfirmationLinkTypeEnum.CLT_EMAIL).count(), 1)\\n email_confirmation_link = UserActivationLink.query.filter_by(link_type=ConfirmationLinkTypeEnum.CLT_EMAIL).first()\\n\\n self.assertIsNotNone(email_confirmation_link)\\n\\n self.assertEqual(email_confirmation_link.new_mobile, None)\\n self.assertEqual(email_confirmation_link.new_email, 'newemail2@somedomain.zz')\\n self.assertEqual(email_confirmation_link.use_attempts, 0)\\n self.assertEqual(email_confirmation_link.used_date, None)\\n\\n self.assertEqual(len(self.mailer.mails), 2)\\n\\n @authorized()\\n def test_get_profile(self):\\n with self.app.app_context():\\n result = self.test_client.get('/account/profile/')\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n user_obj = data['result']\\n\\n user = AuthUser.query.filter_by(id=self.user.id).first()\\n\\n self.assertIn('id', user_obj)\\n self.assertIn('email', user_obj)\\n self.assertIn('registration_date', user_obj)\\n\\n self.assertEqual(user_obj['email'], u'' if not user.email else user.email)\\n\\n @registered_user()\\n def test_request_password_recovery_email(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.mailer.mails), 0)\\n params = {\\n 'email': 'test@somedomain.zz'\\n }\\n result = self.test_client.post('/account/password_recovery/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n password_change_link = UserActivationLink.query.filter_by(\\n auth_user_id=self.user.id,\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD,\\n used_date=None)\\n self.assertIsNotNone(password_change_link)\\n self.assertEqual(len(self.mailer.mails), 1)\\n\\n @registered_user()\\n def test_request_password_recovery_mobile(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.sms_sender.sms), 0)\\n params = {\\n 'mobile': '+79001112233'\\n }\\n result = self.test_client.post('/account/password_recovery/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n password_change_link = UserActivationLink.query.filter_by(\\n auth_user_id=self.user.id,\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD,\\n used_date=None).first()\\n self.assertIsNotNone(password_change_link)\\n self.assertEqual(len(self.sms_sender.sms), 1)\\n\\n @registered_user()\\n def test_request_password_recovery_max_attempts(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.mailer.mails), 0)\\n params = {\\n 'email': 'test@somedomain.zz'\\n }\\n # first two attempts will pass\\n for i in xrange(2):\\n result = self.test_client.post('/account/password_recovery/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n # the fird one will fail\\n result = self.test_client.post('/account/password_recovery/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n\\n password_change_link = UserActivationLink.query.filter_by(\\n auth_user_id=self.user.id,\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD,\\n used_date=None).first()\\n # FF 2 days\\n self.user.last_password_drop_attempts_date = datetime.utcnow() - timedelta(2)\\n\\n # now it should be ok\\n result = self.test_client.post('/account/password_recovery/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n def test_request_password_recovery_invalid_email(self):\\n with self.app.app_context():\\n self.assertEqual(len(self.mailer.mails), 0)\\n params = {\\n 'email': 'test@somedomain.zz'\\n }\\n result = self.test_client.post('/account/password_recovery/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], 105)\\n\\n password_change_link = UserActivationLink.query.filter_by(\\n link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD,\\n used_date=None).first()\\n self.assertIsNone(password_change_link)\\n self.assertEqual(len(self.mailer.mails), 0)\\n\\n @registered_user()\\n def test_recover_password(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n params = {\\n 'user_id': self.user.uuid,\\n 'code': recovery_link.link_code,\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n recovery_link = UserActivationLink.query.filter_by(id=recovery_link.id).first()\\n self.assertIsNotNone(recovery_link)\\n self.assertIsNotNone(recovery_link.used_date)\\n\\n args = {'email': 'test@somedomain.zz',\\n 'password': 'New_password2'}\\n\\n result = self.test_client.post('/account/login/', data=args)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n @authorized()\\n def test_recover_password_logged_in(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n params = {\\n 'user_id': self.user.uuid,\\n 'code': recovery_link.link_code,\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertNotIn('error', data)\\n\\n @registered_user()\\n def test_set_new_password(self):\\n params = {\\n 'user_id': self.user.uuid,\\n 'old_password': 'TestPassword123',\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200, str(result.data))\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n args = {'email': 'test@somedomain.zz',\\n 'password': 'New_password2',\\n 'client': 'android'}\\n\\n result = self.test_client.post('/account/login/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n @registered_user()\\n def test_set_new_password_with_email(self):\\n with self.app.app_context():\\n params = {\\n 'email': self.user.email,\\n 'old_password': 'TestPassword123',\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n args = {'email': self.user.email,\\n 'password': 'New_password2',\\n 'client': 'android'}\\n\\n result = self.test_client.post('/account/login/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n\\n @registered_user()\\n def test_set_new_password_invalid_old(self):\\n with self.app.app_context():\\n params = {\\n 'user_id': self.user.uuid,\\n 'old_password': 'TestPassword1234',\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], errors.InvalidCurrentPassword.ERROR_CODE)\\n\\n @registered_user()\\n def test_set_new_password_invalid_user_id(self):\\n with self.app.app_context():\\n params = {\\n 'user_id': str(ObjectId()),\\n 'old_password': 'TestPassword123',\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], UserNotFound.ERROR_CODE)\\n\\n @registered_user()\\n def test_set_new_password_unauthorized(self):\\n with self.app.app_context():\\n params = {\\n 'user_id': str(ObjectId()),\\n 'old_password': 'TestPassword123',\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], UserNotFound.ERROR_CODE)\\n\\n @registered_user()\\n def test_set_new_password_invalid_code(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n params = {\\n 'user_id': self.user.uuid,\\n 'code': u'u' * self.config['max_activation_link_length'],\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], ActivationCodeExpiredOrInvalid.ERROR_CODE)\\n\\n @registered_user()\\n def test_set_new_password_invalid_code_max_retries(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n valid_code = recovery_link.link_code\\n\\n params = {\\n 'user_id': self.user.uuid,\\n 'code': u'u' * self.config['max_activation_link_length'],\\n 'new_password': 'New_password2'\\n }\\n for i in xrange(5):\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], ActivationCodeExpiredOrInvalid.ERROR_CODE)\\n # now try valid code\\n params = {\\n 'user_id': self.user.uuid,\\n 'code': valid_code,\\n 'new_password': 'New_password2'\\n }\\n result = self.test_client.post('/account/password_change/', data=params)\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n self.assertEqual(data['error']['code'], ActivationCodeExpiredOrInvalid.ERROR_CODE)\\n\\n @registered_user()\\n def _test_get_user_data_for_password_recovery_request_handler(self):\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n result = self.test_client.get('/account/by/code/?user_id=%s&code=%s' % (self.user.id, recovery_link.link_code))\\n self.assertEqual(result.status_code, 200)\\n\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n user_json = data['result']\\n self.assertEqual(ObjectId(user_json['id']), self.user.uuid)\\n\\n @registered_user()\\n def test_get_user_data_for_password_recovery_request_handler_invalid_code(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n result = self.test_client.get('/account/by/code/?user_id=%s&code=invalid' % self.user.id)\\n\\n self.assertEqual(result.status_code, 400)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error_json = data['error']\\n self.assertEqual(error_json['code'], 5)\\n\\n @registered_user()\\n def test_get_user_data_for_password_recovery_request_handler_invalid_user_and_code(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n result = self.test_client.get('/account/by/code/?user_id=%s&code=1234' % ObjectId())\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error_json = data['error']\\n self.assertEqual(error_json['code'], 108)\\n\\n @registered_user()\\n def test_get_user_data_for_password_recovery_request_handler_invalid_user(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n sqldb.session.add(recovery_link)\\n\\n result = self.test_client.get(\\n '/account/by/code/?user_id=%s&code=%s' % (ObjectId(), recovery_link.link_code))\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error_json = data['error']\\n self.assertEqual(error_json['code'], 108)\\n\\n @registered_user()\\n def test_get_user_data_for_password_recovery_request_handler_used_code(self):\\n with self.app.app_context():\\n recovery_link = self._make_ua_link(use_chars=True, user_id=self.user.id, link_type=ConfirmationLinkTypeEnum.CLT_PASSWORD)\\n recovery_link.used_date = datetime.now()\\n sqldb.session.add(recovery_link)\\n\\n result = self.test_client.get(\\n '/account/by/code/?user_id=%s&code=%s' % (self.user.id, recovery_link.link_code))\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('error', data)\\n error_json = data['error']\\n self.assertEqual(error_json['code'], 108)\\n\\n @authorized(is_temporal=True)\\n def test_keep_account_data_after_login_temporary_user(self):\\n\\n data = {\\n 'name': u\\\"Нейм\\\",\\n 'surname': u\\\"Сёрнейм\\\",\\n 'inn': \\\"781108730780\\\",\\n 'phone': \\\"+79110010203\\\",\\n 'email': \\\"test@test.email\\\",\\n '_owner': self.user\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n\\n new_company = CompanyDbObject(**dict({\\n \\\"_owner\\\": self.user,\\n \\\"ogrn\\\": \\\"1234567890123\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"full_name\\\": u\\\"Протон\\\",\\n \\\"short_name\\\": u\\\"Про\\\",\\n \\\"kpp\\\": \\\"999999999\\\",\\n \\\"company_type\\\": CompanyTypeEnum.CT_RUSSIAN,\\n \\\"general_manager\\\": {\\n '_id': person.id,\\n 'type': 'person'\\n }\\n }))\\n\\n sqldb.session.add(new_company)\\n sqldb.session.commit()\\n new_company_id = new_company.id\\n\\n data = {\\n u\\\"full_name\\\": u\\\"образовательное учреждение дополнительного образования детей специализированная детско-юношеская спортивная школа олимпийского резерва по боксу\\\",\\n u\\\"doc_date\\\": datetime.now(),\\n u\\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 123131,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Седова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"2\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"2\\\",\\n \\\"ifns\\\": 1234\\n },\\n u\\\"selected_secretary\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": new_company.id\\n },\\n }\\n new_batch_db_object = DocumentBatchDbObject(batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n status=BatchStatusEnum.BS_NEW, _owner=self.user)\\n sqldb.session.add(new_batch_db_object)\\n\\n new_doc = BatchDocumentDbObject(\\n _owner = self.user,\\n document_type = DocumentTypeEnum.DT_GARANT_LETTER_SUBARENDA,\\n batch = new_batch_db_object,\\n data = data,\\n caption = \\\"Caption\\\"\\n )\\n sqldb.session.add(new_doc)\\n sqldb.session.commit()\\n\\n new_booking = IfnsBooking.db_model(batch_id=new_batch_db_object.id,\\n service_id=IfnsServiceEnum.IS_REG_COMPANY,\\n id=ObjectId())\\n new_booking_id = new_booking.insert(self.db)\\n\\n test_notarius = NotariusObject(**{\\n \\\"id\\\": \\\"abc\\\",\\n \\\"name\\\": u\\\"Петр\\\",\\n \\\"surname\\\": u\\\"Мандельштейн\\\",\\n \\\"title\\\": u\\\"Нотариус №1\\\",\\n \\\"schedule\\\": {\\n \\\"type\\\": \\\"cyclic\\\",\\n \\\"start_working_day\\\": \\\"2014-08-20\\\",\\n \\\"working_days_count\\\": 1,\\n \\\"weekends_count\\\": 2,\\n \\\"start_time\\\": \\\"10:00\\\",\\n \\\"end_time\\\": \\\"13:00\\\"\\n },\\n \\\"address\\\": {\\n \\\"index\\\": 199000,\\n \\\"street_type\\\": u\\\"пр-кт\\\",\\n \\\"street\\\": u\\\"Народного Ополчения\\\",\\n \\\"house_type\\\": u\\\"д\\\",\\n \\\"house\\\": \\\"15\\\"\\n },\\n \\\"region\\\": u\\\"Санкт-Петербург\\\"\\n })\\n sqldb.session.add(test_notarius)\\n sqldb.session.commit()\\n\\n notarius_booking = NotariusBookingObject(batch=new_batch_db_object,\\n owner=self.user,\\n notarius=test_notarius,\\n dt=datetime.now(),\\n address=\\\"here\\\")\\n sqldb.session.add(notarius_booking)\\n sqldb.session.commit()\\n notarius_booking_id = notarius_booking.id\\n\\n ybc = YuristBatchCheck.db_model(batch_id=new_batch_db_object.id,\\n create_date=datetime.now(),\\n typos_correction=False,\\n status=YuristBatchCheckStatus.YBS_NEW)\\n\\n ybc_id = ybc.insert(self.db)\\n\\n args = {\\n 'name': u'Станислав',\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n result = self.test_client.post('/account/create/', data=args)\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n self.assertIn('result', data)\\n uid = data['result']['id']\\n self.assertEqual(data['result']['email'], 'test@somedomain.zz')\\n user = AuthUser.query.filter_by(uuid=uid).first()\\n self.assertIsNotNone(user)\\n self.assertEqual(user.id, self.user.id)\\n\\n # profile = UserProfile.find_one(current_app.db, {'auth_user_id': ObjectId(uid)})\\n # self.assertEqual(profile._id, self.user_profile._id)\\n\\n self.assertEqual(AuthUser.query.count(), 1)\\n\\n ifns_booking = IfnsBooking.db_model.find_one(self.db, {'_id': new_booking_id})\\n self.assertEqual(ifns_booking.batch_id, new_batch_db_object.id)\\n\\n notarius_booking = NotariusBookingObject.query.filter_by(\\n id=notarius_booking_id\\n ).scalar()\\n self.assertEqual(notarius_booking.owner_id, self.user.id)\\n\\n ybc = YuristBatchCheck.db_model.find_one(self.db, {'_id': ybc_id})\\n self.assertEqual(ybc.batch_id, new_batch_db_object.id)\\n\\n batch = DocumentBatchDbObject.query.filter_by(id=new_batch_db_object.id).first()\\n self.assertEqual(batch._owner_id, self.user.id)\\n\\n company = CompanyDbObject.query.filter_by(id=new_company_id).first()\\n self.assertEqual(company._owner_id, self.user.id)\\n self.assertEqual(company.general_manager['_id'], person.id)\\n\\n person = PrivatePersonDbObject.query.filter_by(id=person.id).first()\\n self.assertEqual(person._owner_id, self.user.id)\\n\\n @authorized(is_temporal=True)\\n def test_merge_account_data_after_login_temporary_user(self):\\n new_user = AuthUser(password=encrypt_password('TestPassword123'),\\n email='test@somedomain.zz',\\n enabled=True,\\n email_confirmed=True,\\n mobile=\\\"+79001112233\\\",\\n mobile_confirmed=True)\\n sqldb.session.add(new_user)\\n\\n data = {\\n 'name': u\\\"Нейм\\\",\\n 'surname': u\\\"Сёрнейм\\\",\\n 'inn': \\\"781108730780\\\",\\n 'phone': \\\"+79110010203\\\",\\n 'email': \\\"test@test.email\\\",\\n '_owner': self.user\\n }\\n person = PrivatePersonDbObject(**data)\\n sqldb.session.add(person)\\n sqldb.session.commit()\\n person_id = person.id\\n\\n new_company = CompanyDbObject(**dict({\\n \\\"_owner\\\": self.user,\\n \\\"ogrn\\\": \\\"1234567890123\\\",\\n \\\"inn\\\": \\\"781108730780\\\",\\n \\\"full_name\\\": u\\\"Протон\\\",\\n \\\"short_name\\\": u\\\"Про\\\",\\n \\\"kpp\\\": \\\"999999999\\\",\\n \\\"company_type\\\": CompanyTypeEnum.CT_RUSSIAN,\\n \\\"general_manager\\\": {\\n '_id': person.id,\\n 'type': 'person'\\n }\\n }))\\n\\n sqldb.session.add(new_company)\\n sqldb.session.commit()\\n new_company_id = new_company.id\\n\\n data = {\\n u\\\"full_name\\\": u\\\"образовательное учреждение дополнительного образования детей специализированная детско-юношеская спортивная школа олимпийского резерва по боксу\\\",\\n u\\\"doc_date\\\": datetime.now(),\\n u\\\"address\\\": {\\n \\\"region\\\": RFRegionsEnum.RFR_SPB,\\n \\\"index\\\": 123131,\\n \\\"street_type\\\": StreetTypeEnum.STT_STREET,\\n \\\"street\\\": u\\\"Седова\\\",\\n \\\"house_type\\\": HouseTypeEnum.HOT_HOUSE,\\n \\\"house\\\": \\\"2\\\",\\n \\\"flat_type\\\": FlatTypeEnum.FLT_OFFICE,\\n \\\"flat\\\": \\\"2\\\",\\n \\\"ifns\\\": 1234\\n },\\n u\\\"selected_secretary\\\": {\\n \\\"type\\\": \\\"company\\\",\\n \\\"_id\\\": new_company_id\\n },\\n }\\n new_batch_db_object = DocumentBatchDbObject(batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC,\\n status=BatchStatusEnum.BS_NEW, _owner=self.user)\\n sqldb.session.add(new_batch_db_object)\\n\\n new_doc = BatchDocumentDbObject(\\n _owner = self.user,\\n document_type = DocumentTypeEnum.DT_GARANT_LETTER_SUBARENDA,\\n batch = new_batch_db_object,\\n data = data,\\n caption = \\\"Caption\\\"\\n )\\n sqldb.session.add(new_doc)\\n\\n sqldb.session.commit()\\n\\n new_booking = IfnsBooking.db_model(batch_id=new_batch_db_object.id,\\n service_id=IfnsServiceEnum.IS_REG_COMPANY,\\n id=ObjectId())\\n new_booking_id = new_booking.insert(self.db)\\n\\n notarius_booking = NotariusBooking.db_model(batch_id=new_batch_db_object.id,\\n _owner=self.user.id,\\n notarius_id=ObjectId(),\\n dt=datetime.now(),\\n address=\\\"here\\\")\\n notarius_booking_id = notarius_booking.insert(self.db)\\n\\n ybc = YuristBatchCheck.db_model(batch_id=new_batch_db_object.id,\\n create_date=datetime.now(),\\n typos_correction=False,\\n status=YuristBatchCheckStatus.YBS_NEW)\\n\\n ybc_id = ybc.insert(self.db)\\n\\n rsa_sid = self.test_client.cookie_jar._cookies['localhost.local']['/']['rsa_sid']\\n print(rsa_sid.value)\\n val = Session.query.get(rsa_sid.value)\\n print(pickle.loads(val.data))\\n\\n args = {\\n 'email': 'test@somedomain.zz',\\n 'password': 'TestPassword123'\\n }\\n #rsa_sid.value = \\\"ybf19fa423c0ed51cbc4c74c0b6564f92d\\\"\\n result = self.test_client.post('/account/login/', data=args)\\n\\n rsa_sid = self.test_client.cookie_jar._cookies['localhost.local']['/']['rsa_sid']\\n print(rsa_sid)\\n val = Session.query.get(rsa_sid.value)\\n print(pickle.loads(val.data))\\n\\n result = self.test_client.post('/account/login/temporal/')\\n self.assertEqual(result.status_code, 200)\\n\\n print(rsa_sid)\\n val = Session.query.get(rsa_sid.value)\\n print(pickle.loads(val.data))\\n\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n self.assertIsNotNone(data)\\n\\n self.assertEqual(AuthUser.query.count(), 1)\\n\\n ifns_booking = IfnsBooking.db_model.find_one(self.db, {'_id': new_booking_id})\\n self.assertEqual(ifns_booking.batch_id, new_batch_db_object.id)\\n\\n notarius_booking = NotariusBooking.db_model.find_one(self.db, {'_id': notarius_booking_id})\\n self.assertEqual(notarius_booking._owner, new_user.id)\\n\\n ybc = YuristBatchCheck.db_model.find_one(self.db, {'_id': ybc_id})\\n self.assertEqual(ybc.batch_id, new_batch_db_object.id)\\n\\n batch = DocumentBatchDbObject.query.filter_by(id=new_batch_db_object.id).first()\\n self.assertEqual(batch._owner_id, new_user.id)\\n\\n company = CompanyDbObject.query.filter_by(id=new_company_id).first()\\n self.assertEqual(company._owner_id, new_user.id)\\n self.assertEqual(company.general_manager['_id'], person.id)\\n\\n person = PrivatePersonDbObject.query.filter_by(id=person_id).first()\\n self.assertEqual(person._owner_id, new_user.id)\\n\\n @registered_user()\\n def test_create_authorization_url(self):\\n auth_url_object = UserManager.make_auth_url(\\n url=\\\"http://test/url\\\",\\n owner=self.user,\\n expiration_td=timedelta(seconds=3600 * 24 * 7),\\n )\\n self.assertEqual(AuthorizationUrl.query.count(), 1)\\n self.assertEqual(auth_url_object.url, 'http://test/url')\\n self.assertLessEqual((datetime.now() - auth_url_object.created).total_seconds(), 1)\\n exp = auth_url_object.created + timedelta(seconds=3600 * 24 * 7)\\n self.assertLessEqual((exp - auth_url_object.expire_at).total_seconds(), 1)\\n self.assertEqual(auth_url_object.used_times, 0)\\n self.assertEqual(auth_url_object.owner_id, self.user.id)\\n\\n @registered_user()\\n def test_authorize_through_url(self):\\n auth_url_object = UserManager.make_auth_url(\\n url=\\\"http://test/url\\\",\\n owner=self.user,\\n expiration_td=timedelta(seconds=3600 * 24 * 7)\\n )\\n\\n response = self.test_client.get(auth_url_object.get_url(self.config))\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(response.headers['Location'], \\\"http://test/url\\\")\\n self.assertIn('rsa_sid', response.headers['Set-Cookie'])\\n\\n self.assertEqual(auth_url_object.used_times, 1)\\n\\n @registered_user()\\n def test_authorize_through_expired_url(self):\\n auth_url_object = UserManager.make_auth_url(\\n url=\\\"http://test/url\\\",\\n owner=self.user,\\n expiration_td=timedelta(seconds=1)\\n )\\n\\n auth_url_object.expire_at = datetime.utcnow() - timedelta(days=1)\\n sqldb.session.commit()\\n\\n response = self.test_client.get(auth_url_object.get_url(self.config))\\n self.assertEqual(response.status_code, 302)\\n self.assertNotIn('Set-Cookie', response.headers)\\n\\n self.assertEqual(auth_url_object.used_times, 1)\\n\\n @registered_user()\\n def test_authorize_through_url_several_times(self):\\n auth_url_object = UserManager.make_auth_url(\\n url=\\\"http://test/url\\\",\\n owner=self.user,\\n expiration_td=timedelta(seconds=3600 * 24 * 7)\\n )\\n\\n response = self.test_client.get(auth_url_object.get_url(self.config))\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(response.headers['Location'], \\\"http://test/url\\\")\\n self.assertIn('rsa_sid', response.headers['Set-Cookie'])\\n\\n self.assertEqual(auth_url_object.used_times, 1)\\n\\n response = self.test_client.get(auth_url_object.get_url(self.config))\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(response.headers['Location'], \\\"http://test/url\\\")\\n self.assertIn('rsa_sid', response.headers['Set-Cookie'])\\n\\n self.assertEqual(auth_url_object.used_times, 2)\\n\\n response = self.test_client.get(auth_url_object.get_url(self.config))\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(response.headers['Location'], \\\"http://test/url\\\")\\n self.assertIn('rsa_sid', response.headers['Set-Cookie'])\\n\\n self.assertEqual(auth_url_object.used_times, 3)\\n\\n @registered_user()\\n def test_authorize_through_missing_url(self):\\n auth_url_object = UserManager.make_auth_url(\\n url=\\\"http://test/url\\\",\\n owner=self.user,\\n expiration_td=timedelta(seconds=1)\\n )\\n\\n auth_url_object.expire_at = datetime.utcnow() - timedelta(days=1)\\n sqldb.session.commit()\\n\\n url = auth_url_object.get_url(self.config)\\n AuthorizationUrl.query.filter_by(id=auth_url_object.id).delete()\\n sqldb.session.commit()\\n response = self.test_client.get(url)\\n self.assertEqual(response.status_code, 404)\\n self.assertNotIn('Set-Cookie', response.headers)\\n\\n @authorized()\\n def test_authorize_through_url_while_authorized(self):\\n auth_url_object = UserManager.make_auth_url(\\n url=\\\"http://test/url\\\",\\n owner=self.user,\\n expiration_td=timedelta(seconds=3600 * 24 * 7)\\n )\\n\\n response = self.test_client.get(auth_url_object.get_url(self.config))\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(response.headers['Location'], \\\"http://test/url\\\")\\n self.assertIn('rsa_sid', response.headers['Set-Cookie'])\\n\\n self.assertEqual(auth_url_object.used_times, 1)\\n\"\n },\n {\n \"alpha_fraction\": 0.6759269833564758,\n \"alphanum_fraction\": 0.6806893944740295,\n \"avg_line_length\": 71.8843002319336,\n \"blob_id\": \"1c08ff139b08833e10d57aecff54d32bbbb3a1d4\",\n \"content_id\": \"96e663a43c3a28530b10b5f4f0dbce0b7c20546a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8819,\n \"license_type\": \"no_license\",\n \"max_line_length\": 149,\n \"num_lines\": 121,\n \"path\": \"/app/jb_config.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom fw.settings import Configuration\\n\\n\\nclass JBConfiguration(Configuration):\\n def __init__(self, service_description, default_config_path, **kwargs):\\n super(JBConfiguration, self).__init__(service_description, default_config_path)\\n self.init_general_settings()\\n self.init_web_server_settings()\\n self.init_db_settings()\\n self.init_mail_settings()\\n self.init_sms_settings()\\n self.init_social_settings()\\n\\n def init_general_settings(self):\\n self.settings['MEMCACHED_HOST'] = self.get_from_config('GENERAL:MEMCACHED_HOST')\\n self.settings['log_file_path'] = self.get_from_config('GENERAL:LOG_FILE_PATH', '/var/log/jb/jb.log')\\n self.settings['bind_addr'] = self.get_from_config('GENERAL:BIND_ADDR', '/var/run/jb/app.sock')\\n\\n self.settings['DEBUG'] = self.get_from_config('GENERAL:DEBUG', 'False') == 'True'\\n self.settings['STAGING'] = self.get_from_config('GENERAL:STAGING', 'False') == 'True'\\n self.settings['TEST'] = self.get_from_config('GENERAL:TEST', 'False') == 'True'\\n\\n self.settings['PROD'] = not self.settings['DEBUG'] and not self.settings['STAGING'] and not self.settings['TEST']\\n self.settings['LOG_LEVEL'] = self.LEVEL_NAME_VALUE_DICT[self.get_from_config('GENERAL:FILE_LOGGING_LEVEL', 'ERROR')]\\n self.settings['CELERY_LOG_LEVEL'] = self.LEVEL_NAME_VALUE_DICT[self.get_from_config('GENERAL:CELERY_LOG_LEVEL', 'WARN')]\\n self.settings['resources_path'] = self.get_from_config('GENERAL:RESOURCES_PATH')\\n self.settings['PDF_BUILDER_PATH'] = self.get_from_config('GENERAL:PDF_BUILDER_PATH')\\n self.settings['PDFTK_PATH'] = self.get_from_config('GENERAL:PDFTK_PATH')\\n self.settings['DOCUMENT_STORAGE'] = self.get_from_config('GENERAL:DOCUMENT_STORAGE')\\n self.settings['PRIVATE_STORAGE'] = self.get_from_config('GENERAL:PRIVATE_STORAGE')\\n yurist_email_list = self.get_from_config('GENERAL:YURIST_EMAIL_LIST')\\n yurist_email_list = [item.strip() for item in yurist_email_list.split(',') if item]\\n self.settings['YURIST_EMAIL_LIST'] = yurist_email_list\\n notarius_email_list = self.get_from_config('GENERAL:NOTARIUS_EMAIL_LIST')\\n notarius_email_list = [item.strip() for item in notarius_email_list.split(',') if item]\\n self.settings['NOTARIUS_EMAIL_LIST'] = notarius_email_list\\n self.settings['CELERY_CONFIG_MODULE'] = self.get_from_config('GENERAL:CELERY_CONFIG_MODULE')\\n self.settings['pdf_preview_watermark'] = self.get_from_config('GENERAL:PDF_PREVIEW_WATERMARK')\\n self.settings['PDF_STAMPER_PATH'] = self.get_from_config('GENERAL:PDF_STAMPER_PATH')\\n self.settings['celery_tasks_dir'] = self.get_from_config('GENERAL:CELERY_TASKS_DIR')\\n self.settings['service_name'] = self.get_from_config('GENERAL:SERVICE_NAME')\\n self.settings['ifns_admin_email'] = self.get_from_config('GENERAL:IFNS_ADMIN_EMAIL')\\n self.settings['SITE_ROOT'] = self.get_from_config('GENERAL:SITE_ROOT')\\n admin_email_list = self.get_from_config('GENERAL:ADMIN_EMAIL_LIST')\\n admin_email_list = [item.strip() for item in admin_email_list.split(',') if item]\\n self.settings['ADMIN_EMAIL_LIST'] = admin_email_list\\n self.settings['RAISE_RIGHT_OFF'] = self.get_from_config('GENERAL:RAISE_RIGHT_OFF', 'False') == 'True'\\n\\n self.settings['YAD_ESHOP_PASSWORD'] = self.get_from_config('GENERAL:YAD_ESHOP_PASSWORD')\\n yad_ip_list = self.get_from_config('GENERAL:YAD_IP_LIST')\\n yad_ip_list = [item.strip() for item in yad_ip_list.split(',') if item]\\n self.settings['YAD_IP_LIST'] = yad_ip_list\\n\\n self.settings['SEND_DOCS_TO_YURIST_DELAY_SECONDS'] = self.get_int_from_config('GENERAL:SEND_DOCS_TO_YURIST_DELAY_SECONDS', 60 * 60 * 2)\\n self.settings['NOT_PAID_BATCH_NOTIFY_TIMEOUT_SECONDS'] = self.get_int_from_config('GENERAL:NOT_PAID_BATCH_NOTIFY_TIMEOUT_SECONDS', 3600 * 24)\\n self.settings['NOT_PAID_BATCH_NOTIFY_DESIRED_TIME'] = self.get_from_config('GENERAL:NOT_PAID_BATCH_NOTIFY_DESIRED_TIME', '')\\n\\n self.settings['RUSSIAN_POST_API_LOGIN'] = self.get_from_config('GENERAL:RUSSIAN_POST_API_LOGIN')\\n self.settings['RUSSIAN_POST_API_PASSWORD'] = self.get_from_config('GENERAL:RUSSIAN_POST_API_PASSWORD')\\n\\n def init_web_server_settings(self):\\n self.settings['secret_key'] = self.get_from_config('WEB_SERVER:SECRET_KEY')\\n self.settings['cookie_name'] = self.get_from_config('WEB_SERVER:SESSION_COOKIE_NAME')\\n self.settings['SESSION_COOKIE_NAME'] = self.settings['cookie_name']\\n self.settings['auth_session_lifetime'] = self.get_int_from_config('WEB_SERVER:PERMANENT_SESSION_LIFETIME', 86400)\\n self.settings['PERMANENT_SESSION_LIFETIME'] = self.settings['auth_session_lifetime']\\n\\n self.settings['domain'] = self.get_from_config('WEB_SERVER:DOMAIN')\\n self.settings['site_domain'] = self.settings['domain']\\n self.settings['DOMAIN'] = self.get_from_config('WEB_SERVER:DOMAIN')\\n self.settings['api_url'] = self.get_from_config('WEB_SERVER:API_URL')\\n self.settings['UPLOAD_FOLDER'] = self.get_from_config('WEB_SERVER:UPLOAD_FOLDER')\\n self.settings['STORAGE_URL'] = self.get_from_config('WEB_SERVER:STORAGE_URL')\\n self.settings['socks_version'] = self.get_from_config('WEB_SERVER:PROXY_SOCKS_VERSION', u\\\"5\\\")\\n\\n self.settings['max_activation_link_length'] = self.get_int_from_config('API:MAX_ACTIVATION_LINK_LENGTH', 20)\\n self.settings['digital_activation_link_length'] = self.get_int_from_config('API:DIGITAL_ACTIVATION_LINK_LENGTH', 4)\\n self.settings['digital_activation_code_timeout'] = self.get_int_from_config('API:DIGITAL_ACTIVATION_CODE_TIMEOUT', 900)\\n self.settings['email_activation_code_timeout'] = self.get_int_from_config('API:EMAIL_ACTIVATION_CODE_TIMEOUT', 86400)\\n self.settings['max_activation_attempts_count'] = self.get_int_from_config('API:MAX_ACTIVATION_ATTEMPTS_COUNT', 3)\\n\\n self.settings['user_by_code_tries_count'] = self.get_int_from_config('API:USER_BY_CODE_TRIES_COUNT', 5)\\n\\n self.settings['WEB_SCHEMA'] = self.get_from_config('WEB_SERVER:WEB_SCHEMA', u'http')\\n\\n self.settings['SERVICE_NALOG_RU_URL'] = self.get_from_config('WEB_SERVER:SERVICE_NALOG_RU_URL', u\\\"https://service.nalog.ru\\\")\\n self.settings['ORDER_NALOG_RU_URL'] = self.get_from_config('WEB_SERVER:ORDER_NALOG_RU_URL', u\\\"http://order.nalog.ru\\\")\\n\\n self.settings['MAX_CONTENT_LENGTH'] = self.get_int_from_config('API:MAX_CONTENT_LENGTH', 20 * 1024 * 1024)\\n\\n def init_db_settings(self):\\n self.settings['db_user_name'] = self.get_from_config('DB:USER_NAME')\\n self.settings['db_user_password'] = self.get_from_config('DB:PASSWORD')\\n self.settings['db_host'] = self.get_from_config('DB:HOST')\\n self.settings['db_name'] = self.get_from_config('DB:NAME')\\n self.settings['SQLALCHEMY_DATABASE_URI'] = self.get_from_config('DB:POSTGRES')\\n\\n def init_mail_settings(self):\\n self.settings['mailer_server'] = self.get_from_config('MAIL:SERVER')\\n self.settings['mailer_smtp_user'] = self.get_from_config('MAIL:SMTP_USER')\\n self.settings['mailer_reply_to'] = self.get_from_config('MAIL:REPLY_TO', self.settings['mailer_smtp_user']).decode('utf-8')\\n self.settings['mailer_smtp_password'] = self.get_from_config('MAIL:SMTP_PASSWORD')\\n\\n def init_sms_settings(self):\\n self.settings['sms_gate_address'] = self.get_from_config('SMS_GATE:SMS_GATE_ADDRESS')\\n self.settings['sms_gate_user'] = self.get_from_config('SMS_GATE:SMS_GATE_USER')\\n self.settings['sms_gate_password'] = self.get_from_config('SMS_GATE:SMS_GATE_PASSWORD')\\n self.settings['sms_gate_sender'] = self.get_from_config('SMS_GATE:SMS_GATE_SENDER')\\n\\n def init_social_settings(self):\\n self.settings['vk_api_version'] = self.get_from_config('SOCIAL_NETWORKS:VK_API_VERSION')\\n self.settings['vk_app_id'] = self.get_int_from_config('SOCIAL_NETWORKS:VK_APP_ID')\\n self.settings['vk_app_secret'] = self.get_from_config('SOCIAL_NETWORKS:VK_APP_SECRET')\\n self.settings['vk_app_permissions'] = self.get_int_from_config('SOCIAL_NETWORKS:VK_APP_PERMISSIONS')\\n self.settings['vk_auth_redirect_url'] = self.get_from_config('SOCIAL_NETWORKS:VK_AUTH_REDIRECT_URL')\\n\\n self.settings['facebook_app_id'] = self.get_int_from_config('SOCIAL_NETWORKS:FACEBOOK_APP_ID')\\n self.settings['facebook_app_secret'] = self.get_from_config('SOCIAL_NETWORKS:FACEBOOK_APP_SECRET')\\n self.settings['facebook_app_permissions'] = self.get_from_config('SOCIAL_NETWORKS:FACEBOOK_APP_PERMISSIONS')\\n self.settings['facebook_auth_redirect_url'] = self.get_from_config('SOCIAL_NETWORKS:FACEBOOK_AUTH_REDIRECT_URL')\\n\"\n },\n {\n \"alpha_fraction\": 0.5993175506591797,\n \"alphanum_fraction\": 0.6031653881072998,\n \"avg_line_length\": 36.73698806762695,\n \"blob_id\": \"68b3e51321640e2f5dfcdc69703198be551525c8\",\n \"content_id\": \"3e5c52b5651e24647d45f65040bb0e5a20ccacd5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 13774,\n \"license_type\": \"no_license\",\n \"max_line_length\": 203,\n \"num_lines\": 365,\n \"path\": \"/app/fw/transport/mail.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport smtplib\\nimport codecs\\nfrom email.utils import formataddr\\nimport os\\nimport shlex\\nimport subprocess\\nimport tempfile\\n\\nfrom flask.templating import render_template\\nfrom dateutil.parser import parse as parse_date_time\\nimport imaplib\\nimport logging\\nimport poplib\\nimport uuid\\n\\nimport email\\nfrom email.header import decode_header, Header\\nfrom common_utils import is32bit\\n\\n\\nclass EmailMessage(object):\\n def __init__(self, content, mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments):\\n self.content = content\\n self.mail_id = unicode(mail_id)\\n self.body = unicode(body)\\n self.from_hdr = unicode(from_hdr)\\n self.to_hdr = unicode(to_hdr)\\n self.date_hdr = date_hdr\\n self.subject = unicode(subject)\\n self.attachments = attachments\\n\\n def save_to_filename(self, filename):\\n with open(filename, 'wb') as f:\\n f.write(self.content)\\n\\n\\nclass ReceiptMessage(EmailMessage):\\n def __init__(self, mail_id, original_mail_id, content, body, from_hdr, to_hdr, date_hdr, subject, attachments):\\n super(ReceiptMessage, self).__init__(content, mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments)\\n self.original_mail_id = original_mail_id\\n\\n\\nclass ImapReader(object):\\n def __init__(self, domain, port, ssl, user, password):\\n self.domain = domain\\n self.port = port\\n self.ssl = ssl\\n self.user = user\\n self.password = password\\n\\n self._client = None\\n\\n def read(self, **kwargs):\\n if not self._client:\\n # internet connection\\n self._client = imaplib.IMAP4(host=self.domain, port=self.port) if not self.ssl else imaplib.IMAP4_SSL(host=self.domain, port=self.port)\\n self._client.login(self.user, self.password)\\n self._client.select()\\n\\n typ, data = self._client.search(None, '(ALL)')\\n\\n for num in data[0].split():\\n typ, data = self._client.fetch(num, '(BODY.PEEK[])')\\n\\n result = get_decoded_email_body(data[0][1])\\n if not result:\\n continue\\n\\n if result[0] == 'receipt':\\n mail_id, original_mail_id, content, body, from_hdr, to_hdr, date_hdr, subject, attachments = result[1:]\\n yield ReceiptMessage(mail_id, original_mail_id, content, body, from_hdr, to_hdr, date_hdr, subject, attachments)\\n else:\\n content, mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments = result\\n yield EmailMessage(content, mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments)\\n\\n self._client.close()\\n self._client.logout()\\n self._client = None\\n\\n\\nclass Pop3Reader(object):\\n def __init__(self, domain, port, ssl, user, password, delete_on_receive, proxy):\\n self.domain = domain\\n self.port = port\\n self.ssl = ssl\\n self.user = user\\n self.password = password\\n self.delete_on_receive = delete_on_receive\\n\\n self._client = None\\n self.proxy = proxy\\n\\n def read(self, tester = None):\\n with self.proxy:\\n if not self._client:\\n # internet connection\\n self._client = poplib.POP3(host=self.domain, port=self.port) if not self.ssl else poplib.POP3_SSL(host=self.domain, port=self.port)\\n self._client.user(self.user)\\n self._client.pass_(self.password)\\n\\n numMessages, msgBytes = self._client.stat()\\n for i in range(numMessages):\\n if tester is not None:\\n hdr, message, octets = self._client.top(i + 1, 0)\\n result = get_decoded_email_body('\\\\r\\\\n'.join(message))\\n if not result:\\n continue\\n mail_id = result[1]\\n if not tester(mail_id):\\n continue\\n\\n hdr, message, octets = self._client.retr(i + 1)\\n result = get_decoded_email_body('\\\\r\\\\n'.join(message))\\n if not result:\\n continue\\n if self.delete_on_receive:\\n self._client.dele(i + 1)\\n if result[0] == 'receipt':\\n mail_id, original_mail_id, content, body, from_hdr, to_hdr, date_hdr, subject, attachments = result[1:]\\n logging.info(u\\\"Got an email read receipt: mail_id:%s, original_mail_id:%s, from_hdr:%s, date_hdr:%s\\\" % (unicode(mail_id), unicode(original_mail_id), unicode(from_hdr), unicode(date_hdr)))\\n yield ReceiptMessage(mail_id, original_mail_id, content, body, from_hdr, to_hdr, date_hdr, subject, attachments)\\n else:\\n content, mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments = result\\n logging.info(u\\\"Got an email: mail_id:%s, from_hdr:%s, date_hdr:%s\\\" % (unicode(mail_id), unicode(from_hdr), unicode(date_hdr)))\\n yield EmailMessage(content, mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments)\\n\\n self._client.quit()\\n self._client = None\\n\\n\\ndef get_decoded_header(header, try_charset = None):\\n\\n result_list = []\\n items = decode_header(header)\\n for subject, encoding in items:\\n\\n if encoding is None:\\n try:\\n unicode(subject)\\n result_list.append(subject)\\n except Exception:\\n if try_charset:\\n result_list.append(subject.decode(try_charset))\\n result_list.append(subject)\\n else:\\n result_list.append(subject.decode(encoding))\\n return u\\\" \\\".join(result_list)\\n\\nclass EmailAttachment(object):\\n\\n def __init__(self, filename, content):\\n self.filename = filename\\n self.content = content\\n\\ndef get_email_attachment(message_part):\\n charset = message_part.get_content_charset()\\n content_type = message_part.get_content_type()\\n filename = message_part.get_filename('')\\n\\n content_type, subtype = content_type.split('/')\\n\\n try:\\n if content_type == 'text':\\n if not filename:\\n logging.warn(u'Skipping attachment without name')\\n return\\n if not charset:\\n return EmailAttachment(filename, message_part.get_payload(decode=True))\\n return EmailAttachment(filename, unicode(message_part.get_payload(decode=True), str(charset), \\\"ignore\\\"))\\n if content_type in ('application', 'audio', 'image', 'video'):\\n if not filename:\\n logging.warn(u'Skipping attachment without name')\\n return\\n return EmailAttachment(filename, message_part.get_payload(decode=True))\\n if content_type in ('multipart', 'message'):\\n filename = unicode(uuid.uuid1()) + '.eml'\\n return EmailAttachment(filename, message_part.as_string(unixfrom=True))\\n except Exception:\\n logging.exception(u\\\"Failed to get mail attachment\\\")\\n\\ndef parse_simple_email(msg):\\n text = None\\n html = None\\n\\n for part in msg.get_payload():\\n if part.get_content_charset() is None:\\n continue\\n\\n charset = part.get_content_charset()\\n content_type = part.get_content_type()\\n\\n if content_type == 'text/plain':\\n text = unicode(part.get_payload(decode=True), str(charset), \\\"ignore\\\")\\n\\n if content_type == 'text/html':\\n html = unicode(part.get_payload(decode=True), str(charset), \\\"ignore\\\")\\n\\n return text, html\\n\\ndef parse_mixed_email(msg):\\n text = \\\"\\\"\\n html = \\\"\\\"\\n attachments = []\\n\\n for part in msg.get_payload():\\n content_disposition = (part.get('Content-Disposition') or '').strip()\\n content_type = part.get_content_type()\\n charset = part.get_content_charset()\\n\\n if content_type == 'multipart/alternative':\\n text, html = parse_simple_email(part)\\n elif content_disposition.startswith('inline') or content_disposition.startswith('attachment'):\\n attachment = get_email_attachment(part)\\n if not attachment:\\n logging.warn(u'Failed to get attachment from part %s' % part.as_string())\\n attachments.append(attachment)\\n elif content_type == 'text/plain':\\n text = unicode(part.get_payload(decode=True), str(charset), \\\"ignore\\\")\\n elif content_type == 'text/html':\\n html = unicode(part.get_payload(decode=True), str(charset), \\\"ignore\\\")\\n\\n return text, html, attachments\\n\\ndef parse_report_email(msg):\\n for part in msg.get_payload():\\n content_type = part.get_content_type()\\n\\n if content_type == 'message/disposition-notification':\\n notification_payload = part.get_payload()[0]\\n charset = notification_payload.get_content_charset()\\n for header_name, header_val in notification_payload._headers:\\n header_name = header_name.lower()\\n if header_name == 'original-message-id':\\n receipt_message_id = get_decoded_header(header_val, charset)\\n return receipt_message_id\\n\\n\\ndef get_decoded_email_body(message_body):\\n msg = email.message_from_string(message_body)\\n\\n if 'message-id' not in msg:\\n logging.error(u'Message without id!')\\n return\\n mail_id = unicode(msg['message-id'])\\n\\n from_hdr = \\\"\\\"\\n to_hdr = \\\"\\\"\\n date_hdr = \\\"\\\"\\n subject = \\\"\\\"\\n attachments = []\\n\\n #print('-' * 40 + ' ' + subject + ' ' + '-' * 40)\\n root_content_type = msg.get_content_type()\\n charset = msg.get_content_charset()\\n\\n for header_name, header_val in msg._headers:\\n header_name = header_name.lower()\\n if header_name == 'date':\\n date_hdr = parse_date_time(header_val) # Fri, 21 Feb 2014 17:04:36 +0400\\n elif header_name == 'subject':\\n subject = get_decoded_header(header_val, charset)\\n elif header_name == 'from':\\n from_hdr = get_decoded_header(header_val, charset)\\n elif header_name == 'to':\\n to_hdr = get_decoded_header(header_val, charset)\\n\\n\\n text = ''\\n html = ''\\n\\n if msg.is_multipart():\\n\\n if root_content_type == 'multipart/alternative': # simple email (html + plain text)\\n text, html = parse_simple_email(msg)\\n elif root_content_type == 'multipart/mixed': # email with attachments\\n text, html, attachments = parse_mixed_email(msg)\\n elif root_content_type == 'multipart/related': # email with attachments\\n text, html, attachments = parse_mixed_email(msg)\\n elif root_content_type == 'multipart/report': # probably return receipt\\n receipt_original_message_id = parse_report_email(msg)\\n return 'receipt', mail_id, receipt_original_message_id, msg.as_string(True), '', from_hdr, to_hdr, date_hdr, subject, attachments\\n else:\\n logging.warn(u'Unsupported mail root content type: %s' % root_content_type)\\n return None\\n\\n elif root_content_type == 'text/plain':\\n text = unicode(msg.get_payload(decode=True), str(charset), \\\"ignore\\\")\\n elif root_content_type == 'text/html':\\n html = unicode(msg.get_payload(decode=True), str(charset), \\\"ignore\\\")\\n\\n body = text or html\\n# print('body: %s\\\\r\\\\nnumber of attachments: %d' % (body[:400], len(attachments)))\\n return msg.as_string(True), mail_id, body, from_hdr, to_hdr, date_hdr, subject, attachments\\n\\ndef create_temp_attachment(template, **template_data):\\n html_text = render_template(template, **template_data)\\n\\n t_file = tempfile.NamedTemporaryFile(mode=\\\"w+\\\", delete=False, suffix=\\\".html\\\")\\n t_file_name = t_file.name\\n t_file.close()\\n\\n with codecs.open(t_file.name, 'wb', 'utf-8') as fo:\\n fo.write(html_text)\\n\\n t_file_out = tempfile.NamedTemporaryFile(mode=\\\"w+\\\", delete=False, suffix=\\\".pdf\\\")\\n full_name = t_file_out.name\\n t_file_out.close()\\n\\n # convert html to pdf\\n rasterize_path = os.path.normpath(os.path.join(os.path.abspath(os.path.dirname(__file__)), '../rasterize.js'))\\n phantom_path = os.path.normpath(os.path.join(os.path.abspath(os.path.dirname(__file__)), '../phantomjs%s' % ('32' if is32bit() else '')))\\n subprocess.call(shlex.split('%s %s %s %s A4' % (phantom_path, rasterize_path, t_file_name, full_name)))\\n os.unlink(t_file_name)\\n\\n return full_name\\n\\ndef fix_email_addr(addr):\\n if u'<' in addr and u'>' in addr:\\n try:\\n name, addr = addr.split(u'<')\\n addr = addr.replace(u'>', u\\\"\\\").strip()\\n name = name.strip()\\n return formataddr((str(Header(name, 'utf-8')), addr))\\n except Exception:\\n pass\\n return addr\\n\\ndef raw_email_address(addr):\\n if u'<' in addr and '>' in addr:\\n try:\\n name, addr = addr.split(u'<')\\n addr = addr.replace(u'>', u\\\"\\\").strip()\\n return addr\\n except Exception:\\n pass\\n return addr\\n\\ndef get_email_reader(settings, config, proxy):\\n domain = settings.source_email_host\\n port = settings.source_email_port\\n ssl = settings.source_email_use_ssl\\n user = settings.source_email_user\\n password = settings.source_email_password\\n delete_on_receive = settings.source_email_delete_on_receive\\n\\n # if config['source_email_is_imap']:\\n # return ImapReader(domain, port, ssl, user, password)\\n #\\n\\n return Pop3Reader(domain, port, ssl, user, password, delete_on_receive, proxy)\\n\\nclass Mailer(object):\\n\\n def __init__(self, server, user, password):\\n self.server = server\\n self.user = user\\n self.password = password\\n\\n def send_email(self, addr_from, addr_to, message):\\n s = smtplib.SMTP(self.server)\\n s.starttls()\\n s.login(self.user, self.password)\\n s.sendmail(addr_from, addr_to, message)\\n s.quit()\\n\"\n },\n {\n \"alpha_fraction\": 0.5136363506317139,\n \"alphanum_fraction\": 0.5159090757369995,\n \"avg_line_length\": 30.404762268066406,\n \"blob_id\": \"61216bb19ace0e313383fd86a6a03daf0addec77\",\n \"content_id\": \"cf81a57c89b7d185ad8a2337a995633bf8304cc6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1360,\n \"license_type\": \"no_license\",\n \"max_line_length\": 94,\n \"num_lines\": 42,\n \"path\": \"/app/manage_commands/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport getpass\\nimport sys\\n\\nclass BaseManageCommand(object):\\n def __init__(self, config = None, logger = None):\\n assert config\\n assert logger\\n\\n self.config = config\\n self.logger = logger\\n\\n def run(self):\\n raise NotImplementedError()\\n\\n\\ndef get_single(prompt, hide_echo = False, validator = None, error_hint = \\\"\\\", retry_count = 3):\\n for _ in xrange(retry_count):\\n if not hide_echo:\\n value = raw_input(prompt).decode(sys.stdin.encoding)\\n if validator:\\n if not validator.validate(value):\\n if not error_hint:\\n error_hint = \\\"Некорректное значение\\\"\\n print(error_hint)\\n else:\\n return validator.get_value(unicode(value))\\n else:\\n return value\\n else:\\n value = getpass.getpass(prompt).decode(sys.stdin.encoding)\\n if validator:\\n if not validator.validate(unicode(value)):\\n if not error_hint:\\n error_hint = \\\"Некорректное значение\\\"\\n print(error_hint)\\n else:\\n return validator.get_value(unicode(value))\\n else:\\n return value\\n exit(-1)\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5668963193893433,\n \"alphanum_fraction\": 0.5694343447685242,\n \"avg_line_length\": 50.074073791503906,\n \"blob_id\": \"a0f9bdd31c5bdab18decc8b5ccfc179f7fc57240\",\n \"content_id\": \"b15cad49e2903062a314c723a6f584ee61cb568c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5554,\n \"license_type\": \"no_license\",\n \"max_line_length\": 132,\n \"num_lines\": 108,\n \"path\": \"/app/services/llc_reg/manage_commands/llc_commands.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\n\\nfrom common_utils import get_russian_month_skl\\nfrom fw.auth.user_manager import UserManager\\nfrom fw.documents.db_fields import DocumentBatchDbObject, BatchDocumentDbObject, PrivatePersonDbObject, CompanyDbObject\\nfrom fw.documents.enums import DocumentBatchTypeEnum, DocumentTypeEnum\\nfrom fw.documents.fields.doc_fields import PrivatePerson, CompanyObject\\nfrom manage_commands import BaseManageCommand, get_single\\nfrom fw.async_tasks import send_email\\nfrom services.llc_reg.documents.enums import DocumentDeliveryTypeStrEnum\\nfrom template_filters import utm_args\\n\\n\\nclass SendRegMailCommand(BaseManageCommand):\\n NAME = \\\"send_llc_reg_mail\\\"\\n\\n def run(self):\\n self.logger.info(u\\\"Отправка письма о регистрации компании\\\")\\n self.logger.info(u'=' * 50)\\n\\n batch_id = get_single(u'Batch id: ')\\n\\n batch = DocumentBatchDbObject.query.filter_by(id=batch_id, batch_type=DocumentBatchTypeEnum.DBT_NEW_LLC).first()\\n if not batch:\\n self.logger.info(u'Batch not found')\\n return\\n\\n if not batch.result_fields or 'ifns_reg_info' not in batch.result_fields:\\n self.logger.info(u'Company not registered')\\n return\\n\\n reg_info = batch.result_fields['ifns_reg_info']\\n if 'status' not in reg_info or reg_info['status'] != 'registered' or not reg_info['reg_date'] or not reg_info['ogrn']:\\n self.logger.info(u'Company not registered')\\n return\\n\\n ogrn = reg_info['ogrn']\\n reg_date = reg_info['reg_date'].strptime(\\\"%d.%m.%Y\\\")\\n\\n recipient = batch._owner.email\\n if not recipient:\\n self.logger.info(u'Company owner has no email')\\n return\\n\\n short_name = batch.data.get('short_name', u\\\"\\\")\\n doc_rec_type = batch.data.get('obtain_way', None)\\n\\n ifns_book_doc_receive_url = \\\"%s://%s/ip/?id=%s\\\" % (self.config['WEB_SCHEMA'], self.config['DOMAIN'], batch_id)\\n ifns_book_doc_receive_url = utm_args(ifns_book_doc_receive_url, 'ifns_ip_reg_success', batch._owner_id) + u\\\"#page=obtaining\\\"\\n ifns_book_doc_receive_url = UserManager.make_auth_url(ifns_book_doc_receive_url, batch._owner).get_url(self.config)\\n\\n docs_recipient_fio = u\\\"\\\"\\n if doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT:\\n doc = BatchDocumentDbObject.query.filter_by(batch=batch,\\n document_type=DocumentTypeEnum.DT_P11001).first()\\n if doc:\\n founders = doc.data['founders']\\n for founder in founders:\\n if founder.get('documents_recipient_type', '') != '':\\n person = founder.get('person', None)\\n if person and '_id' in person:\\n person_obj = PrivatePersonDbObject.query.filter_by(\\n id=person['_id']).scalar()\\n if person_obj:\\n pp = PrivatePerson.db_obj_to_field(person_obj)\\n if pp:\\n docs_recipient_fio = pp.full_name\\n else:\\n company = founder.get('company', None)\\n if company:\\n company_db_object = CompanyDbObject.query.filter_by(\\n id=company['_id']).scalar()\\n if company_db_object:\\n cc = CompanyObject.db_obj_to_field(company_db_object)\\n if cc and cc.general_manager and cc.general_manager.initialized:\\n docs_recipient_fio = cc.general_manager.full_name\\n elif doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT_OR_AGENT:\\n doc = BatchDocumentDbObject.query.filter_by(batch=batch,\\n document_type=DocumentTypeEnum.DT_DOVERENNOST_OBTAIN).first()\\n\\n if doc:\\n doc_obtain_person = doc.data.get('doc_obtain_person', None)\\n if doc_obtain_person and '_id' in doc_obtain_person:\\n person_obj = PrivatePersonDbObject.query.filter_by(\\n id=doc_obtain_person['_id']).scalar()\\n if person_obj:\\n pp = PrivatePerson.db_obj_to_field(person_obj)\\n if pp:\\n docs_recipient_fio = pp.full_name\\n\\n send_email.send_email(recipient,\\n 'ifns_llc_reg_success',\\n short_name=short_name,\\n doc_rec_by_email=(doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_SEND_BY_MAIL),\\n doc_rec_by_responsible=(\\n doc_rec_type == DocumentDeliveryTypeStrEnum.DDT_ISSUE_TO_THE_APPLICANT_OR_AGENT),\\n ifns_book_doc_receive_url=ifns_book_doc_receive_url,\\n schema=self.config['WEB_SCHEMA'],\\n domain=self.config['DOMAIN'],\\n ogrn=ogrn,\\n docs_ready_date=u\\\"%d %s %s года\\\" % (\\n reg_date.day, get_russian_month_skl(reg_date.month), reg_date.year),\\n docs_recipient_fio=docs_recipient_fio,\\n obtain_person_fio=u\\\"\\\",\\n service_startup=datetime.utcnow() < datetime(2015, 6, 1),\\n user_id=str(batch._owner_id))\\n self.logger.info(u'Sent %s to %s' % ('ifns_llc_reg_success', recipient))\\n\"\n },\n {\n \"alpha_fraction\": 0.42971062660217285,\n \"alphanum_fraction\": 0.4354771673679352,\n \"avg_line_length\": 43.0457649230957,\n \"blob_id\": \"4d7cad6e23ac3c1be337b65d173514c52b5e7742\",\n \"content_id\": \"fbffd2946059d636f91944b03ebac7a10dd534b2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 38932,\n \"license_type\": \"no_license\",\n \"max_line_length\": 190,\n \"num_lines\": 874,\n \"path\": \"/app/services/ip_reg/documents/initial_db_data_ip.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport copy\\nimport os\\nfrom fw.documents.enums import DocumentTypeEnum, BatchStatusEnum, DocumentKindEnum, DocumentBatchTypeEnum, TaxType\\nfrom fw.documents.field_matchers import FieldSetMatcher, FieldAttributeMatcher, MultilineFieldMatcher, \\\\\\n ConcatFieldAttributeMatcher, SimpleMatcher, ArrayAttributeMatcher, ConstantMatcher\\nfrom fw.documents.common_schema_fields import (ADDRESS_FIELD,\\n JOB_MAIN_CODE_FIELD, JOB_CODE_ARRAY_FIELD, DOC_DATE_FIELD, IP_FOUNDER_FIELD, TAXATION_TYPE_FIELD,\\n USN_TAX_TYPE_FIELD, IP_OBTAIN_WAY_FIELD, IP_REGISTRATION_WAY_FIELD, IP_REGISTRATION_PERSON_FIELD,\\n IP_OBTAIN_PERSON_FIELD, REGISTRATION_PERSON_FIELD, OBTAIN_PERSON_FIELD, IP_SAME_OBTAIN_TRUST_PERSON_FIELD)\\nfrom services.ip_reg.documents.enums import IPRegistrationWayEnum\\n\\n\\ndef get_test_resource_name(config, resource_rel_path):\\n resources_path = config['resources_path']\\n return os.path.join(resources_path, resource_rel_path)\\n\\n\\ndef load_data(config):\\n\\n from services.ip_reg.documents.p21001 import get_p21001_template\\n P21001_TEMPLATE = get_p21001_template(config)\\n\\n P21001_MATCHER ={\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_P21001,\\n \\\"template_name\\\" : P21001_TEMPLATE['template_name'],\\n \\\"fields\\\" : {\\n \\\"%page_1-set-rus\\\": FieldSetMatcher(fields = { # RUSSIAN CITIZEN\\n \\\"page1-surname\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"surname\\\"),\\n \\\"page1-name\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"name\\\"),\\n \\\"page1-patronymic\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"patronymic\\\"),\\n \\\"page1-inn\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"inn\\\"),\\n \\\"page1-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"birthdate.day\\\"),\\n \\\"page1-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"birthdate.month\\\"),\\n \\\"page1-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"birthdate.year\\\"),\\n \\\"page1-birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"birthplace\\\"),\\n \\\"page1-citizenship\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"person_type.value\\\"),\\n #\\\"page1-citizenship\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"living_country_code\\\", adapter=\\\"CountryCodeRusAdapter\\\"),\\n \\\"page1-gender\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"sex\\\", adapter=\\\"GenderToNumberAdapter\\\"),\\n # \\\"page1-surname_latin\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"surname\\\"),\\n # \\\"page1-name_latin\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"name\\\"),\\n # \\\"page1-patronymic_latin\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"patronymic\\\"),\\n # \\\"page1-state_nationality\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"living_country_code\\\")\\n }),\\n \\\"%page_1-set-not_rus\\\": FieldSetMatcher(fields = { # NOT RUSSIAN CITIZEN\\n # \\\"page1-surname\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"surname\\\"),\\n # \\\"page1-name\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"name\\\"),\\n # \\\"page1-patronymic\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"patronymic\\\"),\\n \\\"page1-inn\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"inn\\\"),\\n \\\"page1-birth_date__day\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"birthdate.day\\\"),\\n \\\"page1-birth_date__month\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"birthdate.month\\\"),\\n \\\"page1-birth_date__year\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"birthdate.year\\\"),\\n \\\"page1-birth_place__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"birthplace\\\"),\\n \\\"page1-citizenship\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"person_type.value\\\"),\\n #\\\"page1-citizenship\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"living_country_code\\\", adapter=\\\"CountryCodeRusAdapter\\\"),\\n \\\"page1-gender\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"sex\\\", adapter=\\\"GenderToNumberAdapter\\\"),\\n \\\"page1-surname_latin\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"surname\\\"),\\n \\\"page1-name_latin\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"name\\\"),\\n \\\"page1-patronymic_latin\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"patronymic\\\"),\\n \\\"page1-state_nationality\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"living_country_code\\\")\\n }),\\n # PAGE 2\\n \\\"page2-subject_code\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.region\\\", adapter = \\\"RFRegionNumberAdapter\\\"),\\n \\\"page2-district_type\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.district_type\\\", adapter = \\\"ShortDistrictTypeAdapter\\\"),\\n \\\"page2-postal_index\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.index\\\"),\\n \\\"page2-city_type\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.city_type\\\", adapter = \\\"ShortCityTypeAdapter\\\"),\\n \\\"page2-city_name\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.city\\\"),\\n \\\"page2-nas_punkt_type\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.village_type\\\", adapter = \\\"ShortVillageTypeAdapter\\\"),\\n \\\"page2-street_type\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.street_type\\\", adapter = \\\"ShortStreetTypeAdapter\\\"),\\n \\\"page2-building_type\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.house_type\\\"),\\n \\\"page2-building_number\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.house\\\"),\\n \\\"page2-korpus_type\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.building_type\\\"),\\n \\\"page2-korpus_number\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.building\\\"),\\n \\\"page2-flat_type\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.flat_type\\\"),\\n \\\"page2-flat_number\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"address.flat\\\"),\\n \\\"page2-doc_type\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.document_type\\\"),\\n \\\"page2-doc_number\\\": ConcatFieldAttributeMatcher(field_name=\\\"person\\\", attributes = [ \\\"passport.series\\\", \\\"passport.number\\\"], adapter=\\\"InternalPassportAdapter\\\"),\\n \\\"page2-issue_date__day\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.issue_date.day\\\"),\\n \\\"page2-issue_date__month\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.issue_date.month\\\"),\\n \\\"page2-issue_date__year\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.issue_date.year\\\"),\\n \\\"page2-subdivision_code__left\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.depart_code\\\"),\\n \\\"page2-subdivision_code__right\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.depart_code\\\"),\\n \\\"page2-nas_punkt_name__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name = \\\"address.village\\\"),\\n \\\"page2-street_name__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name = \\\"address.street\\\"),\\n \\\"page2-district_name__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name = \\\"address.district\\\"),\\n \\\"page2-issuer__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name = \\\"passport.issue_depart\\\"),\\n # PAGE 3\\n\\n # PAGE 4\\n \\\"page4-main_job_code__part1\\\" : SimpleMatcher(field_name = \\\"job_main_code\\\"),\\n \\\"page4-main_job_code__part2\\\" : SimpleMatcher(field_name = \\\"job_main_code\\\"),\\n \\\"page4-main_job_code__part3\\\" : SimpleMatcher(field_name = \\\"job_main_code\\\"),\\n \\\"page4-job_code#{{item}}__part1\\\" : ArrayAttributeMatcher(field_name = \\\"job_code_array\\\", sorted = \\\"true\\\"),\\n \\\"page4-job_code#{{item}}__part2\\\" : ArrayAttributeMatcher(field_name = \\\"job_code_array\\\", sorted = \\\"true\\\"),\\n \\\"page4-job_code#{{item}}__part3\\\" : ArrayAttributeMatcher(field_name = \\\"job_code_array\\\", sorted = \\\"true\\\"),\\n # PAGE 5\\n \\\"page5-document_delivery_type\\\": SimpleMatcher(field_name = \\\"obtain_way\\\", adapter = \\\"DocumentObtainNumberAdapter\\\"),\\n \\\"page5-phone_number\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name=\\\"phone.normalised\\\"),\\n # \\\"page5-email\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name=\\\"email\\\")\\n # \\\"page5-zaveritel_type\\\": FieldAttributeMatcher(field_name = \\\"\\\"),\\n # \\\"page5-inn\\\": FieldAttributeMatcher(field_name = \\\"\\\"),\\n }\\n }\\n P21001_SCHEMA = {\\\"doc_name\\\" : DocumentTypeEnum.DT_P21001,\\n \\\"file_name_template\\\" : u\\\"Заявление на регистрацию ИП\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n IP_OBTAIN_WAY_FIELD,\\n JOB_MAIN_CODE_FIELD,\\n JOB_CODE_ARRAY_FIELD,\\n ],\\n \\\"validators\\\" : [{\\n \\\"condition\\\" : {\\n \\\"#or\\\" : [{\\n \\\"person->initialized\\\" : {\\n \\\"#ne\\\" : True\\n }\\n }, {\\n \\\"person->address->initialized\\\" : {\\n \\\"#ne\\\" : True\\n }\\n }, {\\n \\\"person->address->region->initialized\\\" : {\\n \\\"#ne\\\" : True\\n }\\n }, {\\n \\\"region->initialized\\\" : {\\n \\\"#ne\\\" : True\\n }\\n }, {\\n \\\"person->address->region\\\" : \\\"@region\\\"\\n }]\\n },\\n \\\"error\\\" : {\\n \\\"field\\\" : \\\"person.address.region\\\",\\n \\\"code\\\" : 5\\n }\\n }]\\n }\\n\\n IP_STATE_DUTY_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_STATE_DUTY,\\n \\\"doc_kind\\\" : DocumentKindEnum.DK_DOWNLOADABLE_FILE,\\n \\\"file_name_template\\\" : u\\\"Квитанция на оплату регистрационной пошлины ИП {{person.short_name}}\\\",\\n \\\"http_method\\\" : \\\"post\\\",\\n \\\"data_template_name\\\" : get_test_resource_name(config, \\\"ip/reg_fee_invoice__data.txt\\\"),\\n \\\"url_template_name\\\" : get_test_resource_name(config, \\\"reg_fee_invoice__url.txt\\\"),\\n \\\"file_name_extension\\\" : 'pdf',\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\" : {\\n \\\"person\\\" : {\\n \\\"#not_empty\\\" : True\\n }\\n },\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD\\n ]\\n }\\n\\n IP_DOV_FILING_TEMPLATE = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_DOV_FILING_DOCS,\\n \\\"template_name\\\" : \\\"ip_dov_filing_docs\\\",\\n \\\"file_name\\\" : get_test_resource_name(config, \\\"ip/dov_filing_receiving_docs.tex\\\"),\\n \\\"is_strict\\\" : False,\\n }\\n\\n IP_DOV_FILING_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_DOV_FILING_DOCS,\\n \\\"doc_kind\\\" : DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\" : u\\\"Доверенность на подачу документов\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"validators\\\" : [{\\n \\\"condition\\\" : {\\n \\\"ip_responsible_person\\\" : {\\n \\\"#ne\\\" : \\\"@person\\\"\\n }\\n },\\n \\\"error\\\" : {\\n \\\"field\\\" : \\\"reg_responsible_person\\\",\\n \\\"code\\\" : 5\\n }\\n }, {\\n \\\"condition\\\" : {\\n \\\"#or\\\": [{\\n \\\"same_obtain_trust_person\\\": False,\\n \\\"reg_responsible_person\\\" : {\\n \\\"#not_empty\\\" : True\\n }\\n }, {\\n \\\"same_obtain_trust_person\\\": True\\n }]\\n },\\n \\\"error\\\" : {\\n \\\"field\\\" : \\\"reg_responsible_person\\\",\\n \\\"code\\\" : 4\\n }\\n }, {\\n \\\"condition\\\" : {\\n \\\"#or\\\" : [{\\n \\\"obtain_way\\\" : {\\n \\\"#ne\\\" : \\\"responsible_person\\\"\\n },\\n }, {\\n \\\"obtain_way\\\" : \\\"responsible_person\\\",\\n \\\"#or\\\": [{\\n \\\"same_obtain_trust_person\\\": False,\\n \\\"doc_obtain_person\\\" : {\\n \\\"#not_empty\\\" : True\\n }\\n }, {\\n \\\"same_obtain_trust_person\\\": True\\n }]\\n }]\\n },\\n \\\"error\\\" : {\\n \\\"field\\\" : \\\"doc_obtain_person\\\",\\n \\\"code\\\" : 4\\n }\\n }],\\n \\\"conditions\\\": {\\n \\\"same_obtain_trust_person\\\": False,\\n \\\"registration_way\\\": \\\"responsible_person\\\",\\n },\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n IP_REGISTRATION_WAY_FIELD,\\n IP_REGISTRATION_PERSON_FIELD,\\n IP_SAME_OBTAIN_TRUST_PERSON_FIELD,\\n DOC_DATE_FIELD,\\n {\\n \\\"name\\\": \\\"reg_responsible_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\" : {\\n \\\"registration_way\\\": {\\n \\\"#ne\\\" : \\\"responsible_person\\\"\\n }\\n }\\n },\\n {\\n \\\"name\\\": \\\"obtain_way\\\",\\n \\\"type\\\" : \\\"DocEnumField\\\",\\n \\\"enum_cls\\\" : \\\"IPDocumentDeliveryTypeStrEnum\\\",\\n \\\"required\\\" : False\\n }, {\\n \\\"name\\\": \\\"doc_obtain_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\" : True\\n }\\n ]}\\n\\n IP_DOV_RECEIVING_TEMPLATE = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_DOV_RECEIVING_DOCS,\\n \\\"template_name\\\" : \\\"ip_dov_filing_docs\\\",\\n \\\"file_name\\\" : get_test_resource_name(config, \\\"ip/dov_filing_receiving_docs.tex\\\"),\\n \\\"is_strict\\\" : False,\\n }\\n\\n IP_DOV_RECEIVING_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_DOV_RECEIVING_DOCS,\\n \\\"doc_kind\\\" : DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\" : u\\\"Доверенность на получение документов\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\": {\\n \\\"#and\\\": [{\\n \\\"#or\\\": [{\\n \\\"same_obtain_trust_person\\\": False\\n }, {\\n \\\"registration_way\\\": {\\n \\\"#ne\\\": \\\"responsible_person\\\"\\n }\\n }],\\n }, {\\n \\\"obtain_way\\\": \\\"responsible_person\\\",\\n }, {\\n \\\"#or\\\": [{\\n \\\"reg_responsible_person\\\": {\\n \\\"#ne\\\": \\\"@doc_obtain_person\\\"\\n }\\n\\n }, {\\n \\\"doc_obtain_person\\\": {\\n \\\"#empty\\\": True\\n }\\n }]\\n }]\\n },\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n IP_OBTAIN_PERSON_FIELD,\\n DOC_DATE_FIELD,\\n IP_OBTAIN_WAY_FIELD,\\n IP_SAME_OBTAIN_TRUST_PERSON_FIELD,\\n {\\n \\\"name\\\": \\\"reg_responsible_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\" : True\\n },\\n {\\n \\\"name\\\": \\\"doc_obtain_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False\\n }, {\\n \\\"name\\\": \\\"registration_way\\\",\\n \\\"type\\\": \\\"DocEnumField\\\",\\n \\\"enum_cls\\\": \\\"IPRegistrationWayEnum\\\",\\n \\\"required\\\": False\\n }\\n ],\\n \\\"validators\\\" : [{\\n \\\"condition\\\" : {\\n \\\"#or\\\": [{\\n \\\"same_obtain_trust_person\\\": False,\\n \\\"doc_obtain_person\\\" : {\\n \\\"#not_empty\\\" : True\\n }\\n }, {\\n \\\"same_obtain_trust_person\\\": True,\\n \\\"registration_way\\\": \\\"responsible_person\\\",\\n \\\"reg_responsible_person\\\": {\\n \\\"#empty\\\": True\\n }\\n }]\\n },\\n \\\"error\\\" : {\\n \\\"field\\\" : \\\"doc_obtain_person\\\",\\n \\\"code\\\" : 4\\n }\\n }]\\n }\\n\\n IP_DOV_FILING_RECEIVING_TEMPLATE = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_DOV_FILING_RECEIVING_DOCS,\\n \\\"template_name\\\" : \\\"ip_dov_filing_docs\\\",\\n \\\"file_name\\\" : get_test_resource_name(config, \\\"ip/dov_filing_receiving_docs.tex\\\"),\\n \\\"is_strict\\\" : False,\\n }\\n\\n IP_DOV_FILING_RECEIVING_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_DOV_FILING_RECEIVING_DOCS,\\n \\\"doc_kind\\\" : DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\" : u\\\"Доверенность на получение и подачу документов\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"validators\\\" : [{\\n \\\"condition\\\" : {\\n \\\"#or\\\": [{\\n \\\"same_obtain_trust_person\\\": True,\\n \\\"reg_responsible_person\\\" : {\\n \\\"#not_empty\\\" : True\\n }\\n }, {\\n \\\"same_obtain_trust_person\\\": False\\n }]\\n },\\n \\\"error\\\" : {\\n \\\"field\\\" : \\\"reg_responsible_person\\\",\\n \\\"code\\\" : 4\\n }\\n }],\\n \\\"conditions\\\": {\\n \\\"same_obtain_trust_person\\\": True,\\n \\\"registration_way\\\": \\\"responsible_person\\\",\\n \\\"obtain_way\\\": \\\"responsible_person\\\",\\n },\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n IP_OBTAIN_PERSON_FIELD,\\n IP_SAME_OBTAIN_TRUST_PERSON_FIELD,\\n DOC_DATE_FIELD,\\n IP_OBTAIN_WAY_FIELD,\\n IP_REGISTRATION_WAY_FIELD,\\n {\\n \\\"name\\\": \\\"reg_responsible_person\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False\\n }\\n ]}\\n\\n ################################################################################################################\\n\\n IP_REG_BATCH_SCHEMA = {\\n \\\"doc_name\\\" : DocumentBatchTypeEnum.DBT_NEW_IP,\\n \\\"fields\\\" : [\\n JOB_MAIN_CODE_FIELD,\\n JOB_CODE_ARRAY_FIELD,\\n TAXATION_TYPE_FIELD,\\n USN_TAX_TYPE_FIELD,\\n IP_FOUNDER_FIELD,\\n IP_REGISTRATION_WAY_FIELD,\\n IP_OBTAIN_WAY_FIELD,\\n IP_OBTAIN_PERSON_FIELD,\\n IP_REGISTRATION_PERSON_FIELD,\\n REGISTRATION_PERSON_FIELD,\\n OBTAIN_PERSON_FIELD,\\n IP_SAME_OBTAIN_TRUST_PERSON_FIELD\\n ]\\n }\\n\\n REGISTRATION_ADDRESS_FIELD = copy.copy(ADDRESS_FIELD)\\n REGISTRATION_ADDRESS_FIELD['name'] = 'registration_address'\\n\\n IP_REG_RESULT_FIELDS = [\\n {\\n \\\"name\\\": \\\"ifns\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocIntField\\\",\\n \\\"required\\\": False,\\n \\\"value\\\": {\\n \\\"#cases\\\" : {\\n \\\"list\\\" : [{\\n \\\"conditions\\\" : {\\n \\\"person->initialized\\\" : True\\n },\\n \\\"value\\\" : {\\n \\\"#field\\\": \\\"person->address->ifns\\\"\\n }\\n }],\\n \\\"default\\\" : {\\n \\\"value\\\" : {\\n \\\"#value\\\": 0,\\n }\\n }\\n }\\n }\\n },\\n {\\n \\\"name\\\" : \\\"ifns_reg_info\\\",\\n \\\"type\\\" : \\\"calculated\\\",\\n \\\"field_type\\\" : \\\"IfnsRegInfoField\\\",\\n \\\"required\\\" : False,\\n \\\"value\\\" : {\\n \\\"#cases\\\" : {\\n \\\"list\\\": [{\\n \\\"conditions\\\" : {\\n \\\"person->initialized\\\" : True\\n },\\n \\\"value\\\" : {\\n \\\"#exec\\\" : {\\n \\\"module\\\" : \\\"ip_reg_methods\\\",\\n \\\"method\\\" : \\\"get_company_registration_info\\\",\\n \\\"kwargs\\\" : {\\n \\\"batch_id\\\" : {\\n \\\"#field\\\" : \\\"<batch_id>\\\"\\n }\\n }\\n }\\n }\\n }],\\n \\\"default\\\" : {\\n \\\"value\\\" : {\\n \\\"#value\\\": \\\"\\\",\\n }\\n }\\n }\\n }\\n },\\n {\\n \\\"name\\\": \\\"person_genitive\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"value\\\" : {\\n \\\"#cases\\\" : {\\n \\\"list\\\": [{\\n \\\"conditions\\\" : {\\n \\\"person->initialized\\\" : True\\n },\\n \\\"value\\\" : {\\n \\\"#method\\\": {\\n \\\"obj\\\" : \\\"person\\\",\\n \\\"method\\\" : \\\"get_full_name\\\",\\n \\\"kwargs\\\" : {\\n \\\"declension\\\": \\\"gen\\\",\\n }\\n }\\n }\\n }],\\n \\\"default\\\" : {\\n \\\"value\\\" : {\\n \\\"#value\\\": \\\"\\\",\\n }\\n }\\n }\\n },\\n },\\n {\\n \\\"name\\\": \\\"person_dative\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"value\\\" : {\\n \\\"#cases\\\" : {\\n \\\"list\\\": [{\\n \\\"conditions\\\" : {\\n \\\"person->initialized\\\" : True\\n },\\n \\\"value\\\" : {\\n \\\"#method\\\": {\\n \\\"obj\\\" : \\\"person\\\",\\n \\\"method\\\" : \\\"get_full_name\\\",\\n \\\"kwargs\\\" : {\\n \\\"declension\\\": \\\"dat\\\",\\n }\\n }\\n }\\n }],\\n \\\"default\\\" : {\\n \\\"value\\\" : {\\n \\\"#value\\\": \\\"\\\",\\n }\\n }\\n }\\n },\\n }\\n ]\\n\\n IP_ESHN_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_ESHN_CLAIM,\\n \\\"file_name_template\\\" : u\\\"Заявление на ЕСХН\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\" : {\\n \\\"taxation_type\\\" : TaxType.TT_ESHN\\n },\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n DOC_DATE_FIELD,\\n JOB_MAIN_CODE_FIELD\\n ],\\n \\\"external_validators\\\" : [\\\"ip_eshn_tax_type\\\"]\\n }\\n\\n IP_ESHN_TEMPLATE = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_ESHN_CLAIM,\\n \\\"template_name\\\" : \\\"strict_template1__ip_eshn\\\",\\n \\\"is_strict\\\" : True,\\n \\\"pages\\\" : [{\\n \\\"page_file\\\": [get_test_resource_name(config, \\\"new_eshn.pdf\\\")],\\n \\\"array_fields\\\" : [\\n {\\n \\\"name\\\" : \\\"full_name__line{{item}}\\\",\\n \\\"count\\\" : 4,\\n \\\"field-length\\\" : 40,\\n \\\"case\\\" : \\\"upper\\\"\\n }, {\\n \\\"name\\\" : \\\"applicant__line{{item}}\\\",\\n \\\"count\\\" : 3,\\n \\\"field-length\\\" : 20,\\n \\\"case\\\" : \\\"upper\\\"\\n }, {\\n \\\"name\\\" : \\\"applicant_doc__line{{item}}\\\",\\n \\\"field-length\\\" : 20,\\n \\\"case\\\" : \\\"upper\\\",\\n \\\"count\\\" : 2,\\n },\\n ],\\n \\\"fields\\\" : [\\n {\\n \\\"name\\\": \\\"inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"kpp\\\",\\n \\\"field-length\\\": 9\\n }, {\\n \\\"name\\\" : \\\"ifns\\\",\\n \\\"field-length\\\" : 4\\n }, {\\n \\\"name\\\" : \\\"priznak_zayavitelya\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"perehod\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"phone\\\",\\n \\\"field-length\\\" : 20\\n }, {\\n \\\"name\\\" : \\\"applicant_type\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"doc_date__day\\\",\\n \\\"field-length\\\" : 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\" : u\\\"0\\\",\\n }, {\\n \\\"name\\\" : \\\"doc_date__month\\\",\\n \\\"field-length\\\" : 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\" : u\\\"0\\\",\\n }, {\\n \\\"name\\\" : \\\"doc_date__year\\\",\\n \\\"field-length\\\" : 4\\n }, {\\n \\\"name\\\" : \\\"dohod_maj\\\",\\n \\\"field-length\\\" : 3\\n }, {\\n \\\"name\\\" : \\\"dohod_min\\\",\\n \\\"field-length\\\" : 2\\n }, {\\n \\\"name\\\" : \\\"dohod_percent\\\",\\n \\\"field-length\\\" : 1\\n }\\n ]\\n }]\\n }\\n\\n IP_ESHN_MATCHER = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_ESHN_CLAIM,\\n \\\"template_name\\\" : IP_ESHN_TEMPLATE['template_name'],\\n \\\"fields\\\" : {\\n \\\"applicant__line{{item}}\\\" : MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"full_name\\\"),\\n # \\\"applicant_doc__line{{item}}\\\" : MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"full_name\\\"),\\n \\\"phone\\\" : FieldAttributeMatcher(field_name = \\\"person\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"full_name__line{{item}}\\\" : MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"full_name\\\"),\\n \\\"inn\\\" : FieldAttributeMatcher(field_name = \\\"person\\\", attr_name=\\\"inn\\\", default_value=u\\\"————————————\\\"),\\n \\\"kpp\\\" : ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ifns\\\" : FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\" : ConstantMatcher(value=1),\\n \\\"perehod\\\" : ConstantMatcher(value=2),\\n \\\"applicant_type\\\" : ConstantMatcher(value=1),\\n \\\"doc_date__day\\\" : FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"day\\\"),\\n \\\"doc_date__month\\\" : FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"month\\\"),\\n \\\"doc_date__year\\\" : FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"year\\\"),\\n \\\"dohod_maj\\\" : ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_min\\\" : ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"dohod_percent\\\" : ConstantMatcher(value=u\\\"————————————\\\")\\n }\\n }\\n\\n IP_USN_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_USN_CLAIM,\\n \\\"file_name_template\\\" : u\\\"Заявление на УСН\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"conditions\\\" : {\\n \\\"taxation_type\\\" : 'usn'\\n },\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n DOC_DATE_FIELD,\\n JOB_MAIN_CODE_FIELD,\\n {\\n \\\"name\\\" : \\\"tax_type\\\",\\n \\\"type\\\" : \\\"DocEnumField\\\",\\n \\\"enum_cls\\\" : \\\"UsnTaxType\\\",\\n \\\"required\\\" : True,\\n }\\n ],\\n \\\"external_validators\\\" : [\\\"ip_usn_tax_type\\\"]\\n }\\n\\n IP_USN_TEMPLATE = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_USN_CLAIM,\\n \\\"template_name\\\" : \\\"strict_template1__ip_usn\\\",\\n \\\"is_strict\\\" : True,\\n \\\"pages\\\" : [{\\n \\\"page_file\\\": get_test_resource_name(config, \\\"new_usn.pdf\\\"),\\n \\\"array_fields\\\" : [\\n {\\n \\\"name\\\" : \\\"name_line{{item}}\\\",\\n \\\"count\\\" : 4,\\n \\\"field-length\\\" : 40,\\n \\\"case\\\" : \\\"upper\\\"\\n }, {\\n \\\"name\\\" : \\\"applicant-name__line{{item}}\\\",\\n \\\"count\\\" : 3,\\n \\\"field-length\\\" : 20,\\n \\\"case\\\" : \\\"upper\\\"\\n }, {\\n \\\"name\\\" : \\\"agent-doc-name__line{{item}}\\\",\\n \\\"field-length\\\" : 20,\\n \\\"case\\\" : \\\"upper\\\",\\n \\\"count\\\" : 2,\\n }\\n ],\\n \\\"fields\\\" : [\\n {\\n \\\"name\\\": \\\"inn\\\",\\n \\\"field-length\\\": 12\\n }, {\\n \\\"name\\\": \\\"kpp\\\",\\n \\\"field-length\\\": 9\\n }, {\\n \\\"name\\\" : \\\"kod_nalog_organa\\\",\\n \\\"field-length\\\" : 4\\n }, {\\n \\\"name\\\" : \\\"priznak_zayavitelya\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"perehod\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"god_zayavleniya\\\",\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"phone\\\",\\n \\\"field-length\\\" : 20\\n }, {\\n \\\"name\\\" : \\\"applicant-type\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"current-date__day\\\",\\n \\\"field-length\\\" : 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\" : u\\\"0\\\",\\n }, {\\n \\\"name\\\" : \\\"current-date__month\\\",\\n \\\"field-length\\\" : 2,\\n \\\"text-align\\\": \\\"right\\\",\\n \\\"space-filler\\\" : u\\\"0\\\",\\n }, {\\n \\\"name\\\" : \\\"current-date__year\\\",\\n \\\"field-length\\\" : 4,\\n \\\"text-align\\\": \\\"right\\\",\\n }, {\\n \\\"name\\\" : \\\"dohod\\\",\\n \\\"field-length\\\" : 1\\n }, {\\n \\\"name\\\" : \\\"polucheno_dohodov\\\",\\n \\\"field-length\\\" : 9\\n }, {\\n \\\"name\\\" : \\\"god_podachi_uvedomleniya\\\",\\n \\\"field-length\\\" : 2,\\n \\\"text-align\\\": \\\"right\\\"\\n }, {\\n \\\"name\\\" : \\\"ostatok\\\",\\n \\\"field-length\\\" : 9\\n }\\n ]\\n }],\\n }\\n\\n IP_USN_MATCHER = {\\n \\\"doc_name\\\": DocumentTypeEnum.DT_IP_USN_CLAIM,\\n \\\"template_name\\\": IP_USN_TEMPLATE['template_name'],\\n \\\"fields\\\": {\\n \\\"applicant-name__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"full_name\\\"),\\n # \\\"agent-doc-name__line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"full_name\\\"),\\n \\\"phone\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name=\\\"phone.normalised\\\"),\\n \\\"name_line{{item}}\\\": MultilineFieldMatcher(field_name = \\\"person\\\", attr_name=\\\"full_name\\\"),\\n \\\"inn\\\": FieldAttributeMatcher(field_name = \\\"person\\\", attr_name=\\\"inn\\\", default_value=u\\\"————————————\\\"),\\n \\\"kpp\\\": ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"polucheno_dohodov\\\" : ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"ostatok\\\" : ConstantMatcher(value=u\\\"————————————\\\"),\\n \\\"kod_nalog_organa\\\": FieldAttributeMatcher(field_name=\\\"person\\\", attr_name=\\\"address.ifns_number\\\"),\\n \\\"priznak_zayavitelya\\\": ConstantMatcher(value=1),\\n \\\"perehod\\\": ConstantMatcher(value=2),\\n \\\"god_zayavleniya\\\": FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"year\\\"),\\n\\n \\\"applicant-type\\\": ConstantMatcher(value=1),\\n \\\"current-date__day\\\": FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"day\\\"),\\n \\\"current-date__month\\\": FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"month\\\"),\\n \\\"current-date__year\\\": FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"year\\\"),\\n\\n \\\"dohod\\\": SimpleMatcher(field_name = \\\"tax_type\\\", adapter = \\\"UsnTaxTypeAdapter\\\"),\\n \\\"god_podachi_uvedomleniya\\\" : FieldAttributeMatcher(field_name=\\\"doc_date\\\", attr_name=\\\"year\\\"),\\n }\\n }\\n\\n IP_LETTER_INVENTORY_SCHEMA = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_LETTER_INVENTORY,\\n \\\"doc_kind\\\" : DocumentKindEnum.DK_TEX_TEMPLATE,\\n \\\"file_name_template\\\" : u\\\"Опись для ценного письма\\\",\\n \\\"batch_statuses\\\" : [BatchStatusEnum.BS_EDITED, BatchStatusEnum.BS_NEW],\\n \\\"fields\\\" : [\\n IP_FOUNDER_FIELD,\\n IP_REGISTRATION_WAY_FIELD,\\n TAXATION_TYPE_FIELD,\\n {\\n \\\"name\\\" : \\\"ifns_name\\\",\\n \\\"type\\\" : \\\"calculated\\\",\\n \\\"field_type\\\" : \\\"DocTextField\\\",\\n \\\"required\\\" : False,\\n \\\"value\\\" : {\\n \\\"#field\\\" : \\\"person->address->ifns_name_safe\\\"\\n }\\n }, {\\n \\\"name\\\" : \\\"ifns_address\\\",\\n \\\"type\\\" : \\\"calculated\\\",\\n \\\"field_type\\\" : \\\"DocTextField\\\",\\n \\\"required\\\" : False,\\n \\\"value\\\" : {\\n \\\"#field\\\" : \\\"person->address->ifns_address_safe\\\"\\n }\\n }, {\\n \\\"name\\\" : \\\"usn\\\",\\n \\\"type\\\" : \\\"calculated\\\",\\n \\\"field_type\\\" : \\\"DocBoolField\\\",\\n \\\"required\\\" : False,\\n \\\"value\\\" : {\\n \\\"#cases\\\" : {\\n \\\"list\\\" : [{\\n \\\"conditions\\\" : {\\n \\\"taxation_type\\\" : TaxType.TT_USN\\n },\\n \\\"value\\\" : {\\n \\\"#value\\\" : True\\n }\\n }],\\n \\\"default\\\" : {\\n \\\"value\\\" : {\\n \\\"#value\\\" : False\\n }\\n }\\n }\\n }\\n }, {\\n \\\"name\\\" : \\\"eshn\\\",\\n \\\"type\\\" : \\\"calculated\\\",\\n \\\"field_type\\\" : \\\"DocBoolField\\\",\\n \\\"required\\\" : False,\\n \\\"value\\\" : {\\n \\\"#cases\\\" : {\\n \\\"list\\\" : [{\\n \\\"conditions\\\" : {\\n \\\"taxation_type\\\" : TaxType.TT_ESHN\\n },\\n \\\"value\\\" : {\\n \\\"#value\\\" : True\\n }\\n }],\\n \\\"default\\\" : {\\n \\\"value\\\" : {\\n \\\"#value\\\" : False\\n }\\n }\\n }\\n }\\n }\\n ],\\n \\\"conditions\\\" : {\\n \\\"registration_way\\\" : IPRegistrationWayEnum.IP_RW_MAIL\\n }\\n }\\n\\n IP_LETTER_INVENTORY_TEMPLATE = {\\n \\\"doc_name\\\" : DocumentTypeEnum.DT_IP_LETTER_INVENTORY,\\n \\\"template_name\\\" : \\\"ip_letter_inventory\\\",\\n \\\"file_name\\\" : get_test_resource_name(config, \\\"ip/letter_inventory.tex\\\"),\\n \\\"is_strict\\\" : False\\n }\\n\\n IP_REG_DEFER_DOCS = [DocumentTypeEnum.DT_IP_STATE_DUTY]\\n\\n return {\\n \\\"P21001_TEMPLATE\\\" : P21001_TEMPLATE,\\n \\\"P21001_MATCHER\\\" : P21001_MATCHER,\\n \\\"P21001_SCHEMA\\\" : P21001_SCHEMA,\\n \\\"IP_STATE_DUTY_SCHEMA\\\": IP_STATE_DUTY_SCHEMA,\\n \\\"IP_DOV_FILING_SCHEMA\\\": IP_DOV_FILING_SCHEMA,\\n \\\"IP_DOV_FILING_TEMPLATE\\\": IP_DOV_FILING_TEMPLATE,\\n \\\"IP_DOV_RECEIVING_SCHEMA\\\": IP_DOV_RECEIVING_SCHEMA,\\n \\\"IP_DOV_RECEIVING_TEMPLATE\\\": IP_DOV_RECEIVING_TEMPLATE,\\n \\\"IP_DOV_FILING_RECEIVING_SCHEMA\\\": IP_DOV_FILING_RECEIVING_SCHEMA,\\n \\\"IP_DOV_FILING_RECEIVING_TEMPLATE\\\": IP_DOV_FILING_RECEIVING_TEMPLATE,\\n \\\"IP_ESHN_SCHEMA\\\": IP_ESHN_SCHEMA,\\n \\\"IP_ESHN_TEMPLATE\\\": IP_ESHN_TEMPLATE,\\n \\\"IP_ESHN_MATCHER\\\": IP_ESHN_MATCHER,\\n \\\"IP_USN_SCHEMA\\\": IP_USN_SCHEMA,\\n \\\"IP_USN_TEMPLATE\\\": IP_USN_TEMPLATE,\\n \\\"IP_USN_MATCHER\\\": IP_USN_MATCHER,\\n \\\"IP_LETTER_INVENTORY_SCHEMA\\\" : IP_LETTER_INVENTORY_SCHEMA,\\n \\\"IP_LETTER_INVENTORY_TEMPLATE\\\" : IP_LETTER_INVENTORY_TEMPLATE,\\n\\n \\\"IP_REG_BATCH_SCHEMA\\\" : IP_REG_BATCH_SCHEMA,\\n \\\"IP_REG_RESULT_FIELDS\\\" : IP_REG_RESULT_FIELDS,\\n \\\"IP_REG_DEFER_DOCS\\\" : IP_REG_DEFER_DOCS\\n }\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7286356687545776,\n \"alphanum_fraction\": 0.730134904384613,\n \"avg_line_length\": 32.349998474121094,\n \"blob_id\": \"a85eb8fdea66d78d830e52a0a5a5d3c403f9a706\",\n \"content_id\": \"53ada144ad7162122c64a8c7a206844b7f902d31\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 667,\n \"license_type\": \"no_license\",\n \"max_line_length\": 78,\n \"num_lines\": 20,\n \"path\": \"/app/fw/async_tasks/models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom bson.objectid import ObjectId\\nfrom sqlalchemy.sql.functions import func\\nfrom sqlalchemy import Column, String, Boolean, DateTime\\nfrom sqlalchemy.dialects.postgresql import JSONB\\n\\nfrom fw.db.sql_base import db\\n\\n\\nclass CeleryScheduledTask(db.Model):\\n\\n __tablename__ = 'celery_scheduled_task'\\n\\n id = Column(String, primary_key=True, default=lambda: unicode(ObjectId()))\\n task_name = Column(String)\\n created = Column(DateTime, default=func.now(), nullable=False)\\n eta = Column(DateTime, nullable=False)\\n sent = Column(Boolean, default=False)\\n args = Column(JSONB, nullable=True)\\n kwargs = Column(JSONB, nullable=True)\\n\"\n },\n {\n \"alpha_fraction\": 0.660260796546936,\n \"alphanum_fraction\": 0.6609471440315247,\n \"avg_line_length\": 35.42499923706055,\n \"blob_id\": \"b1206a621b8ed4812cff543264dbd305f438cd9e\",\n \"content_id\": \"81ff354c4a978fd0e7b8c007df5b7dced4a288a5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1457,\n \"license_type\": \"no_license\",\n \"max_line_length\": 128,\n \"num_lines\": 40,\n \"path\": \"/app/deployment_migrations/migration_list/20150821_migrate_lawsuit.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom copy import copy\\n\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject, BatchDocumentDbObject\\nfrom fw.documents.enums import DocumentBatchTypeEnum\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Migrate lawsuit fields\\\")\\n\\n m = {\\n 'yes': 'success',\\n 'no': 'refuse',\\n 'notAll': 'partial_success',\\n 'tooEarly': 'unknown'\\n }\\n for batch in DocumentBatchDbObject.query.filter_by(deleted=False, batch_type=DocumentBatchTypeEnum.DBT_OSAGO):\\n metadata = batch._metadata or {}\\n if not metadata or '_isClaimSubmissionToInsurance' not in metadata or '_insuranceReturnDebtByClaimType' not in metadata:\\n continue\\n _isClaimSubmissionToInsurance = metadata['_isClaimSubmissionToInsurance']\\n _insuranceReturnDebtByClaimType = metadata['_insuranceReturnDebtByClaimType']\\n\\n make_lawsuit = _isClaimSubmissionToInsurance\\n pretension_result = m.get(_insuranceReturnDebtByClaimType, 'unknown')\\n\\n for doc in BatchDocumentDbObject.query.filter_by(batch=batch):\\n dd = copy(doc.data)\\n dd.update({\\n 'make_lawsuit': make_lawsuit,\\n 'pretension_result': pretension_result\\n })\\n BatchDocumentDbObject.query.filter_by(id=doc.id).update({\\n 'data': dd\\n })\\n sqldb.session.commit()\\n\\ndef rollback(config, logger):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.5452937483787537,\n \"alphanum_fraction\": 0.5465571880340576,\n \"avg_line_length\": 42.3698616027832,\n \"blob_id\": \"e9bafe395ded7f2c39107d38f8bfec9d0be9dd0c\",\n \"content_id\": \"703d117b0b93bc46d22fe8377d8d6b1bd00e17cf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 15830,\n \"license_type\": \"no_license\",\n \"max_line_length\": 129,\n \"num_lines\": 365,\n \"path\": \"/app/async/views.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime, timedelta\\nimport json\\nfrom tornado import gen\\nfrom async.async_dadata_provider import AsyncDadataProvider\\nfrom async.async_ifns_provider import AsyncIfnsProvider, FailedToGetAppointmentData\\nfrom async.vews_base import JsonRequestHandler, authorized\\nfrom common_utils import int_to_ifns\\nfrom custom_exceptions import CacheMiss\\nfrom fw.api import errors\\nfrom fw.api.args_validators import validate_arguments_tornado, IntValidator, EnumValidator, DateTypeValidator, \\\\\\n JsonValidator, DateTimeValidator, ObjectIdValidator\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject\\nfrom fw.documents.enums import DocumentTypeEnum\\nfrom services.ifns.async_tasks import ifns_booking_tasks\\nfrom services.ifns.data_model.models import IfnsBookingObject, IfnsBookingTaskStatus\\nfrom services.llc_reg.documents.enums import IfnsServiceEnum\\n\\n\\nclass IfnsGetScheduleView(JsonRequestHandler):\\n @gen.coroutine\\n @authorized\\n @validate_arguments_tornado(\\n ifns=IntValidator(required=True),\\n service=EnumValidator(enum_cls=IfnsServiceEnum, required=True),\\n datetime=DateTypeValidator(required=True),\\n founder_applicant=JsonValidator(required=True)\\n )\\n def get_content_on_post(self, arguments=None, *args, **kwargs):\\n\\n logger = self.application.logger # todo: ifns logger!\\n cache = self.application.cache\\n\\n ifns = arguments['ifns']\\n service = arguments['service']\\n dt = arguments['datetime']\\n founder_applicant = arguments['founder_applicant']\\n service_nalog_ru_url = self.application.config['SERVICE_NALOG_RU_URL']\\n\\n try:\\n company_data, person_data = yield AsyncIfnsProvider.get_company_person_data_for_ifns(founder_applicant,\\n self.user.email,\\n self.application.db)\\n except Exception:\\n logger.exception(u\\\"Failed to collect data\\\")\\n raise errors.InvalidParameterValue(\\\"founder_applicant\\\")\\n\\n try:\\n reg_ifns = yield AsyncIfnsProvider.get_registration_ifns(int_to_ifns(ifns), cache,\\n service_nalog_ru_url=service_nalog_ru_url)\\n except Exception:\\n logger.exception(u\\\"Failed to get registration ifns. Address ifns: %s\\\" % unicode(ifns))\\n raise\\n\\n reg_ifns_name = reg_ifns['rou']['naimk']\\n reg_ifns_addr = reg_ifns['adres']\\n try:\\n address = yield AsyncDadataProvider.get_detailed_address(reg_ifns_addr, cache)\\n if not address:\\n raise Exception()\\n except Exception:\\n logger.exception(u\\\"Failed to get detailed address. Reg ifns address: %s\\\" % unicode(reg_ifns_addr))\\n raise\\n region_name = address['suggestions'][0]['data']['region']\\n\\n try:\\n result = yield AsyncIfnsProvider.get_nalog_ru_time_slots(person_data, company_data, reg_ifns_name, service,\\n region_name, cache, logger)\\n except errors.IfnsServiceUnavailable, ex:\\n logger.exception(u\\\"Failed to get schedule from ifns. Trying to get cached value\\\")\\n try:\\n result = yield AsyncIfnsProvider.get_nalog_ru_time_slots_cached(not company_data, reg_ifns_name,\\n service, region_name, cache, logger)\\n if len(result) < 8:\\n last_found_day = datetime.strptime(result[-1]['date'], \\\"%Y-%m-%d\\\")\\n result += AsyncIfnsProvider.get_nalog_ru_default_time_slots(region_name, reg_ifns_name,\\n not company_data,\\n first_day=last_found_day,\\n days_to_get=8 - len(result))\\n except CacheMiss, ex:\\n logger.exception(u\\\"Nothing in cache: returning defaults\\\")\\n result = AsyncIfnsProvider.get_nalog_ru_default_time_slots(region_name, reg_ifns_name, not company_data)\\n\\n all_time_slots = result\\n\\n td_min = timedelta(seconds=99999999)\\n nearest_time = datetime.strptime(all_time_slots[0]['date'], \\\"%Y-%m-%d\\\")\\n slots = all_time_slots[0]['time_slots']\\n\\n for slot in all_time_slots:\\n cur_date = datetime.strptime(slot['date'], \\\"%Y-%m-%d\\\")\\n td_cur = cur_date - dt if (cur_date > dt) else (dt - cur_date)\\n if td_cur < td_min:\\n td_min = td_cur\\n nearest_time = cur_date\\n slots = slot['time_slots']\\n\\n logger.debug(u\\\"Ifns schedule - succeeded. Nearest time: %s, Slots: %s\\\" % (\\n nearest_time.strftime(\\\"%Y-%m-%d\\\"), json.dumps(slots)))\\n raise gen.Return({'result': {\\n 'nearest_time': nearest_time.strftime(\\\"%Y-%m-%d\\\"),\\n 'slots': slots\\n }})\\n\\n\\nclass IfnsMakeBookingView(JsonRequestHandler):\\n @gen.coroutine\\n @authorized\\n @validate_arguments_tornado(\\n ifns=IntValidator(required=True),\\n service=EnumValidator(enum_cls=IfnsServiceEnum, required=True),\\n datetime=DateTimeValidator(required=True),\\n founder_applicant=JsonValidator(required=True),\\n batch_id=ObjectIdValidator(required=True),\\n reg_responsible_person=ObjectIdValidator(required=False)\\n )\\n def get_content_on_post(self, arguments=None, *args, **kwargs):\\n\\n logger = self.application.logger # todo: ifns logger!\\n cache = self.application.cache\\n\\n ifns = arguments['ifns']\\n service = arguments['service']\\n dt = arguments['datetime']\\n founder_applicant = arguments['founder_applicant']\\n batch_id = arguments['batch_id']\\n reg_responsible_person = arguments.get('reg_responsible_person', None)\\n service_nalog_ru_url = self.application.config['SERVICE_NALOG_RU_URL']\\n\\n try:\\n company_data, person_data = yield AsyncIfnsProvider.get_company_person_data_for_ifns(founder_applicant,\\n self.user.email,\\n self.application.db)\\n except Exception:\\n logger.exception(u\\\"Failed to collect data\\\")\\n raise errors.InvalidParameterValue(\\\"founder_applicant\\\")\\n\\n try:\\n reg_ifns = yield AsyncIfnsProvider.get_registration_ifns(int_to_ifns(ifns), cache,\\n service_nalog_ru_url=service_nalog_ru_url)\\n except Exception:\\n logger.exception(u\\\"Failed to get registration ifns. Address ifns: %s\\\" % unicode(ifns))\\n raise\\n\\n reg_ifns_name = reg_ifns['rou']['naimk']\\n reg_ifns_addr = reg_ifns['adres']\\n try:\\n address = yield AsyncDadataProvider.get_detailed_address(reg_ifns_addr, cache)\\n if not address:\\n raise Exception()\\n except Exception:\\n logger.exception(u\\\"Failed to get detailed address. Reg ifns address: %s\\\" % unicode(reg_ifns_addr))\\n raise\\n region_name = address['suggestions'][0]['data']['region']\\n\\n # todo: remove booking tasks with the same batch_id:service. (remove objects (in statuses new & progress) & cancel tasks)\\n try:\\n result = yield AsyncIfnsProvider.book_ifns(person_data, company_data, reg_ifns_name, service, region_name,\\n dt, reg_responsible_person, cache, logger)\\n except errors.IfnsServiceUnavailable, ex:\\n logger.exception(u\\\"Failed to book ifns\\\")\\n booking_obj = IfnsBookingObject(**{\\n \\\"batch_id\\\": batch_id,\\n \\\"person_data\\\": person_data,\\n \\\"company_data\\\": company_data,\\n \\\"reg_ifns_name\\\": reg_ifns_name,\\n \\\"service\\\": service,\\n \\\"region_name\\\": region_name,\\n \\\"reg_date\\\": dt.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n \\\"reg_responsible_person\\\": reg_responsible_person,\\n \\\"status\\\": IfnsBookingTaskStatus.BTS_NEW,\\n \\\"error_info\\\": None,\\n \\\"user_email\\\": self.user.email\\n })\\n sqldb.session.add(booking_obj)\\n sqldb.session.commit()\\n ifns_booking_task_id = booking_obj.id\\n ifns_booking_tasks.book_ifns(str(ifns_booking_task_id))\\n raise gen.Return({\\n 'error': True,\\n 'error_type': \\\"booking_queued\\\"\\n })\\n except FailedToGetAppointmentData, ex:\\n ifns_booking_tasks.find_appointment_data(ex.apt_code, str(batch_id), dt.strftime(\\\"%Y-%m-%dT%H:%M:%S\\\"),\\n self.user.email, service)\\n raise gen.Return({\\n 'error': True,\\n 'error_type': \\\"reserved_but_no_data\\\"\\n })\\n\\n result_value = None\\n if result:\\n try:\\n booking = IfnsBookingObject(\\n ifns=result['ifns'],\\n service=result['service'],\\n service_id=service,\\n date=result['date'],\\n window=result['window'],\\n address=result['address'],\\n phone=result['phone'],\\n how_to_get=result['how_to_get'],\\n code=result['code'],\\n _discarded=False,\\n batch_id=batch_id\\n )\\n sqldb.session.add(booking)\\n sqldb.session.commit()\\n\\n logger.debug(u\\\"Reserverd ifns. \\\")\\n result_value = {\\n 'result': {\\n \\\"ifns\\\": result['ifns'],\\n \\\"id\\\": booking.id,\\n \\\"service\\\": result['service'],\\n \\\"service_id\\\": service,\\n \\\"date\\\": result['date'],\\n \\\"window\\\": result['window'],\\n \\\"address\\\": result['address'],\\n \\\"phone\\\": result['phone'],\\n \\\"how_to_get\\\": result['how_to_get'],\\n \\\"code\\\": result['code']\\n }\\n }\\n except Exception:\\n logger.exception(u\\\"Failed to save booking!\\\")\\n raise errors.ServerError()\\n\\n if result_value:\\n raise gen.Return(result_value)\\n logger.error(u\\\"Failed to reserve ifns due to unknown reason.\\\")\\n raise errors.ServerError()\\n\\n\\nclass IfnsBookingView(JsonRequestHandler):\\n @gen.coroutine\\n @authorized\\n @validate_arguments_tornado(\\n batch_id=ObjectIdValidator(required=True)\\n )\\n def get_content_on_get(self, arguments=None, *args, **kwargs):\\n result_values = []\\n logger = self.application.logger # todo: ifns logger!\\n batch_id = arguments['batch_id']\\n\\n booking_col = None # todo: IfnsBookingDbModel.get_collection(self.application.db)\\n r, error = yield gen.Task(booking_col.find, {\\n 'batch_id': batch_id,\\n '_discarded': {\\n \\\"$ne\\\": True}\\n })\\n booking_cursor = r[0]\\n for book in booking_cursor:\\n result_values.append({\\n 'id': unicode(book['_id']),\\n 'ifns': book['ifns'],\\n 'service': book['service'],\\n 'service_id': book['service_id'],\\n 'date': book['date'],\\n 'window': book['window'],\\n 'address': book['address'],\\n 'phone': book['phone'],\\n 'how_to_get': book['how_to_get'],\\n 'code': book['code']\\n })\\n raise gen.Return({'result': result_values})\\n\\n\\nclass IfnsNameView(JsonRequestHandler):\\n @gen.coroutine\\n @authorized\\n @validate_arguments_tornado(\\n batch_id=ObjectIdValidator(required=True)\\n )\\n def get_content_on_get(self, arguments=None, *args, **kwargs):\\n logger = self.application.logger # todo: ifns logger!\\n cache = self.application.cache\\n batch_id = arguments['batch_id']\\n config = self.application.config\\n\\n null_res = {'result': \\\"\\\"}\\n\\n db = self.application.db\\n batch_col = DocumentBatchDbObject.get_collection(db)\\n\\n r, error = yield gen.Task(batch_col.find_one, {'_id': batch_id})\\n batch_db = r[0]\\n\\n if not batch_db:\\n logger.error(u\\\"No such batch %s\\\" % unicode(batch_id))\\n raise gen.Return(null_res)\\n docs = batch_db.get('documents', [])\\n if not docs:\\n logger.error(u\\\"No documents in batch %s\\\" % unicode(batch_id))\\n raise gen.Return(null_res)\\n\\n address = None\\n for doc in docs:\\n if 'document_type' not in doc:\\n continue\\n if doc['document_type'] == DocumentTypeEnum.DT_ARTICLES:\\n address = doc['data'].get('address', None)\\n break\\n\\n if not address:\\n logger.error(u\\\"Failed to get address\\\")\\n raise gen.Return(null_res)\\n\\n ifns = address.get('ifns', None)\\n if not ifns:\\n address_string = address.get('address_string')\\n if not address_string:\\n logger.error(u\\\"Empty address string\\\")\\n raise gen.Return(null_res)\\n detailed_address = yield AsyncDadataProvider.get_detailed_address(address_string, cache)\\n if not detailed_address:\\n logger.error(u\\\"Failed to get detailed address from address string %s\\\" % address_string)\\n raise gen.Return(null_res)\\n\\n suggestions = detailed_address.get(\\\"suggestions\\\", [])\\n if not suggestions:\\n logger.error(u\\\"Empty suggestions\\\")\\n raise gen.Return(null_res)\\n ifns = suggestions[0]['data'].get(\\\"tax_office\\\", None)\\n if not ifns:\\n logger.error(u\\\"Null ifns\\\")\\n raise gen.Return(null_res)\\n\\n ifns_data = yield AsyncIfnsProvider.get_ifns_by_code(ifns, config['SERVICE_NALOG_RU_URL'], cache, logger)\\n if not ifns_data:\\n logger.error(u\\\"Failed to get ifns %s data\\\" % unicode(ifns))\\n raise gen.Return(null_res)\\n\\n raise gen.Return({'result': ifns_data.rou.naimk})\\n\\n\\nclass IfnsDiscardBookingView(JsonRequestHandler):\\n @gen.coroutine\\n @authorized\\n @validate_arguments_tornado(\\n booking_id=ObjectIdValidator(required=True)\\n )\\n def get_content_on_post(self, arguments=None, *args, **kwargs):\\n logger = self.application.logger # todo: ifns logger!\\n booking_id = arguments['booking_id']\\n logger.debug(u\\\"Trying to cancel ifns booking %s\\\" % unicode(booking_id))\\n\\n booking_col = None # todo: IfnsBookingDbModel.get_collection(self.application.db)\\n r, error = yield gen.Task(booking_col.update, {\\n '_id': booking_id,\\n '_discarded': {\\n \\\"$ne\\\": True\\n }\\n }, {'$set': {\\n '_discarded': True\\n }})\\n # result = r[0]\\n #\\n # if not result:\\n # logger.debug(u\\\"Ifns booking %s was not found\\\" % unicode(booking_id))\\n # raise errors.IfnsBookingNotFound()\\n\\n logger.debug(u\\\"Ifns booking %s canceled\\\" % unicode(booking_id))\\n raise gen.Return({'result': True})\\n\"\n },\n {\n \"alpha_fraction\": 0.5300794839859009,\n \"alphanum_fraction\": 0.5323495864868164,\n \"avg_line_length\": 28.33333396911621,\n \"blob_id\": \"cd4533f9cca1f7b46cd7a00100708a24024a1cd7\",\n \"content_id\": \"370124369e01dacf254198ca146dfcaa6dde98fb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 881,\n \"license_type\": \"no_license\",\n \"max_line_length\": 117,\n \"num_lines\": 30,\n \"path\": \"/app/fw/monitoring_utils/zabbix_sender.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport shlex\\nimport subprocess\\n\\ndef send(key, val):\\n try:\\n cmd = 'zabbix_sender -c /etc/zabbix/zabbix_agentd.conf -k %s -o %s' % (unicode(key),unicode(val))\\n p = subprocess.Popen(shlex.split(cmd), stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\\n output, err = p.communicate()\\n rc = p.returncode\\n except Exception:\\n return\\n if rc != 0:\\n raise Exception(err or output)\\n\\n return output\\n\\ndef zabbixed(key, val):\\n def wrapper(f):\\n def deco(*args, **kwargs):\\n try:\\n return f(*args, **kwargs)\\n except:\\n if isinstance(val, list) or isinstance(val, tuple):\\n for v in val:\\n send(key, val)\\n else:\\n send(key, val)\\n return deco\\n return wrapper\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6058317422866821,\n \"alphanum_fraction\": 0.6087686419487,\n \"avg_line_length\": 38.073768615722656,\n \"blob_id\": \"0c8f8a3186c096dc4cca3713a47abcf34af1d96d\",\n \"content_id\": \"33ef401fdffb47b0386711914dfc39eb8e521b98\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4767,\n \"license_type\": \"no_license\",\n \"max_line_length\": 126,\n \"num_lines\": 122,\n \"path\": \"/app/fw/auth/social_services/vk_backend.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport requests\\nfrom fw.api import errors\\nfrom fw.auth.social_services.social_backend import SocialBackend\\nfrom fw.auth.social_services.social_models import SocialUserLink, SocialServiceEnum\\nfrom fw.db.sql_base import db as sqldb\\n\\nVK_API_URL = 'https://api.vk.com/method/'\\n\\n\\nclass VkBackend(SocialBackend):\\n @staticmethod\\n def is_token_expired(data):\\n return 'error' in data and 'error_code' in data['error'] and data['error']['error_code'] in (2, 4, 5, 7)\\n\\n @staticmethod\\n def call_vk_method(method, **kwargs):\\n response = requests.get(VK_API_URL + method + u'?' + u'&'.join([u\\\"%s=%s\\\" % (k, v) for k, v in kwargs.items()]))\\n if response.status_code != 200:\\n raise errors.SocialAuthError()\\n\\n data = response.json()\\n if not data:\\n if VkBackend.is_token_expired(data):\\n raise errors.RenewAuthTokenError()\\n else:\\n raise errors.SocialAuthError('Failed to decode server answer')\\n\\n return data\\n\\n @staticmethod\\n def get_user_data(config, access_token):\\n vk_api_version = \\\"3\\\"\\n data = VkBackend.call_vk_method('users.get', v=vk_api_version, access_token=access_token)\\n\\n if 'response' not in data:\\n raise errors.SocialAuthError('Failed to decode server answer. data=%s; api version=%s; access_token=%s' % (\\n data, vk_api_version, access_token))\\n\\n user_data = data['response'][0]\\n try:\\n user_id = int(user_data['uid'])\\n except ValueError:\\n raise errors.SocialAuthError('Failed to decode server answer. data=%s; api version=%s; access_token=%s' % (\\n data, vk_api_version, access_token))\\n\\n return dict(id=user_id)\\n\\n @staticmethod\\n def get_user_link(social_uid):\\n return SocialUserLink.query.filter_by(uid=str(social_uid), service_id=SocialServiceEnum.SS_VK).first()\\n\\n @staticmethod\\n def make_link(access_token, social_uid, auth_user, config):\\n link = SocialUserLink(\\n uid=social_uid,\\n user=auth_user,\\n service_id=SocialServiceEnum.SS_VK,\\n access_token=access_token\\n )\\n sqldb.session.add(link)\\n sqldb.session.commit()\\n return link\\n\\n @staticmethod\\n def get_token_url(config, next_page=\\\"/\\\"):\\n if next_page.startswith(\\\"/\\\"):\\n next_page = next_page[1:]\\n vk_api_version = config['vk_api_version']\\n permissions = config['vk_app_permissions']\\n vk_app_id = config['vk_app_id']\\n redirect_url = \\\"%s://%s%s\\\" % (\\n config['WEB_SCHEMA'], config['api_url'], config['vk_auth_redirect_url'] + next_page)\\n return \\\"https://oauth.vk.com/authorize?client_id=%d&scope=%d&redirect_uri=%s&display=page&v=%s&response_type=code\\\" % (\\n vk_app_id, permissions, redirect_url, vk_api_version)\\n\\n @staticmethod\\n def new_post(post_content, auth_user, config, link_to_attach=None):\\n link = SocialUserLink.query.filter_by(user=auth_user, service_id=SocialServiceEnum.SS_VK).first()\\n if not link or not link.access_token:\\n raise errors.SocialAuthError()\\n\\n try:\\n params = dict(v=config['vk_api_version'], access_token=link.access_token, message=post_content)\\n if link_to_attach:\\n params['attachments'] = link_to_attach\\n\\n response_data = VkBackend.call_vk_method('wall.post', **params)\\n except errors.RenewAuthTokenError, exc:\\n link.access_token = \\\"\\\"\\n sqldb.session.commit()\\n raise\\n\\n if 'response' not in response_data:\\n raise errors.SocialAuthError('Failed to decode server answer')\\n else:\\n post_data = dict(id=response_data['response']['post_id'])\\n\\n return post_data\\n\\n @staticmethod\\n def get_token(code, config, next_page):\\n redirect_url = VkBackend.get_token_url(config, next_page=next_page)\\n vk_app_id = config['vk_app_id']\\n vk_app_secret = config['vk_app_secret']\\n url = \\\"https://oauth.vk.com/access_token?client_id=%s&client_secret=%s&code=%s&redirect_uri=%s\\\" % (\\n unicode(vk_app_id), vk_app_secret, unicode(code), redirect_url)\\n result = requests.get(url)\\n\\n if result.status_code != 200:\\n return None, None\\n data = result.json()\\n return data['access_token'], data\\n\\n @staticmethod\\n def get_profile_url(social_link_object):\\n if not social_link_object:\\n return\\n if not isinstance(social_link_object, dict):\\n social_link_object = social_link_object.as_dict()\\n if 'uid' in social_link_object:\\n return u\\\"http://vk.com/id%s\\\" % unicode(social_link_object['uid'])\\n\"\n },\n {\n \"alpha_fraction\": 0.6131707429885864,\n \"alphanum_fraction\": 0.6156097650527954,\n \"avg_line_length\": 41.93193817138672,\n \"blob_id\": \"a42b5ced460986bb8c5f92414e97d9c0754c45c7\",\n \"content_id\": \"516d6e95fdb2ac79c18742c514a25258e6a1c8e7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8472,\n \"license_type\": \"no_license\",\n \"max_line_length\": 116,\n \"num_lines\": 191,\n \"path\": \"/app/services/ip_reg/ip_reg_manager.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\nfrom fw.api import errors\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.db_fields import DocumentBatchDbObject, PrivatePersonDbObject, BatchDocumentDbObject\\nfrom fw.documents.doc_requisites_storage import DocRequisitiesStorage\\nfrom fw.documents.enums import DocumentTypeEnum, BatchStatusEnum, DocumentBatchTypeEnum\\nfrom fw.documents.fields.doc_fields import DocumentBatch, PrivatePerson\\nfrom fw.storage.file_storage import FileStorage\\nfrom template_filters import declension\\n\\n\\nclass IpRegBatchManager(BatchManager):\\n\\n DOC_TITLES = {\\n DocumentTypeEnum.DT_P21001: u\\\"Заявление о государственной регистрации (форма Р21001)\\\",\\n DocumentTypeEnum.DT_IP_STATE_DUTY: u'Квитанция на уплату госпошлины',\\n DocumentTypeEnum.DT_IP_DOV_FILING_DOCS: u'Доверенность на подачу документов',\\n DocumentTypeEnum.DT_IP_DOV_RECEIVING_DOCS: u'Доверенность на получение документов',\\n DocumentTypeEnum.DT_IP_DOV_FILING_RECEIVING_DOCS: u'Доверенность на получение и подачу документов',\\n DocumentTypeEnum.DT_IP_USN_CLAIM: u'Заявление о переходе на УСН',\\n DocumentTypeEnum.DT_IP_ESHN_CLAIM: u'Заявление о переходе на ЕСХН',\\n DocumentTypeEnum.DT_IP_LETTER_INVENTORY: u'Опись для ценного письма'\\n }\\n\\n def update_batch(self, batch_id, new_batch, current_user_id, config, logger):\\n current_batch_db_object = DocumentBatchDbObject.query.filter_by(id=batch_id, _owner_id=current_user_id,\\n deleted=False).first()\\n if not current_batch_db_object:\\n raise errors.BatchNotFound()\\n\\n batch_status = current_batch_db_object.status\\n if batch_status not in (BatchStatusEnum.BS_NEW, BatchStatusEnum.BS_EDITED):\\n logger.warn(u\\\"Can't update batch %s in status %s\\\" % (unicode(batch_id), unicode(batch_status)))\\n raise errors.DocumentBatchUpdateError()\\n\\n try:\\n current_batch = DocumentBatch.db_obj_to_field(current_batch_db_object)\\n except Exception:\\n logger.fatal(u\\\"Failed to validate batch from DB!\\\")\\n raise\\n\\n current_fields = current_batch.data.value\\n assert isinstance(current_fields, dict)\\n\\n # STEP 1: make new data and metadata\\n # and collect changed fields names\\n new_batch_db = new_batch.get_db_object()\\n merged_fields, changed_field_names = self._merge_raw_fields(current_batch_db_object.data, new_batch_db.data)\\n\\n current_batch_db_object._metadata = new_batch_db._metadata\\n current_batch_db_object.data = merged_fields\\n sqldb.session.commit()\\n\\n # STEP 2: make document set from data and schema\\n try:\\n new_field_set, new_docs, _ = self.make_docs_for_new_data(\\n current_batch.data.value,\\n new_batch.data.value,\\n current_batch_db_object,\\n BatchManager.get_batch_document_fields(current_batch_db_object)\\n )\\n except errors.DocumentBatchUpdateError, ex:\\n logger.exception(u\\\"Failed to update batch with new values\\\")\\n current_batch_db_object.error_info = {\\\"error\\\": u\\\"unknown error (%s)\\\" % str(ex)}\\n sqldb.session.commit()\\n raise\\n\\n current_docs_db_models = [doc for doc in current_batch_db_object._documents]\\n new_docs_db_models = [BatchDocumentDbObject(**new_doc.get_db_object_data()) for new_doc in new_docs]\\n\\n merged_docs, unused_db_docs = self.merge_docs(current_docs_db_models, new_docs_db_models, config)\\n for doc in merged_docs:\\n doc.batch = current_batch_db_object\\n doc._owner_id = current_user_id\\n\\n for doc in unused_db_docs:\\n BatchDocumentDbObject.query.filter_by(id=doc.id).delete()\\n\\n sqldb.session.commit()\\n\\n error_info = None\\n try:\\n current_batch_db_object._metadata = new_batch_db._metadata\\n current_batch_db_object.data = merged_fields\\n\\n # STEP 4: make result fields\\n current_batch_db_object.result_fields = self.make_result_fields(current_batch, new_field_set)\\n current_batch_db_object.error_info = None\\n sqldb.session.commit()\\n\\n except Exception, ex:\\n logger.exception(u\\\"Failed to update batch with new values\\\")\\n current_batch_db_object.error_info = {\\\"error\\\": u\\\"unknown error\\\"}\\n sqldb.session.commit()\\n raise errors.DocumentBatchUpdateError()\\n\\n if current_batch_db_object.status == BatchStatusEnum.BS_EDITED:\\n error_ext = self.get_batch_errors(current_batch_db_object, logger)\\n if error_ext:\\n error_info = {'error_ext': error_ext}\\n current_batch_db_object.error_info = error_info\\n sqldb.session.commit()\\n\\n current_batch = DocumentBatch.db_obj_to_field(current_batch_db_object)\\n struct = current_batch.get_api_structure()\\n\\n if error_info:\\n struct['error_info'] = error_info\\n elif 'error_info' in struct:\\n del struct['error_info']\\n\\n return {'result': struct}\\n\\n def get_title(self, doc_type):\\n return IpRegBatchManager.DOC_TITLES.get(doc_type, '')\\n\\n def get_last_modified_batch_caption(self, batch_db):\\n if not batch_db:\\n return u\\\"\\\"\\n\\n pp_data = batch_db.data.get('person')\\n if pp_data and '_id' in pp_data:\\n person_db = PrivatePersonDbObject.query.filter_by(id=pp_data['_id']).first()\\n if person_db:\\n person = PrivatePerson.db_obj_to_field(person_db)\\n full_name_decl = declension(person.get_full_name(), 'gen')\\n parts = full_name_decl.split(' ')\\n if len(parts) in (2, 3):\\n surname_decl = parts[0].strip()\\n short_name = person.get_short_name()\\n parts = short_name.split(' ')\\n if len(parts) in (2, 3):\\n return surname_decl + u\\\" \\\" + u\\\" \\\".join(parts[1:])\\n return declension(person.get_short_name(), 'gen')\\n\\n return u\\\"\\\"\\n\\n def get_batch_caption(self, batch_db):\\n if not batch_db:\\n return u\\\"\\\"\\n\\n pp_data = batch_db.data.get('person')\\n if pp_data and '_id' in pp_data:\\n person_db = PrivatePersonDbObject.query.filter_by(id=pp_data['_id']).first()\\n if person_db:\\n person = PrivatePerson.db_obj_to_field(person_db)\\n return u\\\"Создание ИП «%s»\\\" % person.get_short_name() if person else u\\\"Создание ИП\\\"\\n\\n return u\\\"Создание ИП\\\"\\n\\n def get_stage(self, batch_db):\\n company_registered = False\\n batch_data = batch_db.data\\n if 'result_fields' in batch_data:\\n result_fields = batch_data['result_fields']\\n if 'ifns_reg_info' in result_fields:\\n ifns_reg_info = result_fields['ifns_reg_info']\\n if 'status' in ifns_reg_info and ifns_reg_info['status'] == 'registered':\\n company_registered = True\\n return 'preparation' if batch_db.status != BatchStatusEnum.BS_FINALISED else \\\\\\n ('submission' if not company_registered else\\n 'running')\\n\\n def definalize_batch(self, config, logger, batch, force):\\n if batch.status != BatchStatusEnum.BS_FINALISED:\\n return False\\n\\n for doc in BatchDocumentDbObject.query.filter_by(batch=batch):\\n if doc.file:\\n file_obj = doc.file\\n doc.file = None\\n FileStorage.remove_file(file_obj.id, config)\\n\\n batch.status = BatchStatusEnum.BS_EDITED\\n batch.ifns_reg_info = None,\\n batch.last_change_dt = datetime.utcnow()\\n sqldb.session.commit()\\n return True\\n\\n def create_batch(self, owner):\\n new_batch = DocumentBatchDbObject(\\n batch_type=DocumentBatchTypeEnum.DBT_NEW_IP,\\n data={},\\n _owner=owner,\\n status=BatchStatusEnum.BS_NEW,\\n paid=True\\n )\\n\\n return new_batch\\n\"\n },\n {\n \"alpha_fraction\": 0.6739811897277832,\n \"alphanum_fraction\": 0.6750261187553406,\n \"avg_line_length\": 29.870967864990234,\n \"blob_id\": \"47e0341f16eb461fd53e3bbbeff416418b5abfd7\",\n \"content_id\": \"711acf0bb6e0d831dfcb29c60ed4f48301ead34e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 957,\n \"license_type\": \"no_license\",\n \"max_line_length\": 100,\n \"num_lines\": 31,\n \"path\": \"/app/deployment_migrations/migration_list/20151005_add_payment_tables.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Create new models\\\")\\n\\n sqldb.session.close()\\n sqldb.engine.execute(u\\\"\\\"\\\"CREATE TABLE pay_info (\\n id SERIAL NOT NULL,\\n user_id INTEGER,\\n batch_id VARCHAR NOT NULL,\\n pay_record_id INTEGER NOT NULL,\\n payment_provider INTEGER NOT NULL,\\n dt TIMESTAMP WITHOUT TIME ZONE,\\n service_type VARCHAR NOT NULL,\\n PRIMARY KEY (id),\\n FOREIGN KEY(user_id) REFERENCES authuser (id),\\n FOREIGN KEY(batch_id) REFERENCES doc_batch (id)\\n);\\\"\\\"\\\")\\n\\n sqldb.engine.execute(u\\\"\\\"\\\"DROP INDEX IF EXISTS ix_pay_info_user_id;\\\"\\\"\\\")\\n sqldb.engine.execute(u\\\"\\\"\\\"CREATE INDEX ix_pay_info_user_id ON pay_info (user_id);\\\"\\\"\\\")\\n\\n sqldb.engine.execute(u\\\"\\\"\\\"DROP INDEX IF EXISTS ix_pay_info_pay_record_id;\\\"\\\"\\\")\\n sqldb.engine.execute(u\\\"\\\"\\\"CREATE INDEX ix_pay_info_pay_record_id ON pay_info (pay_record_id);\\\"\\\"\\\")\\n\\n\\ndef rollback(config, logger):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6045876741409302,\n \"alphanum_fraction\": 0.606590211391449,\n \"avg_line_length\": 40.60606002807617,\n \"blob_id\": \"18b6c3c3d73699c7ee928e8406937e267a6ce897\",\n \"content_id\": \"c857f2c78be2137475c77d92bf8aa05a49f52072\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5553,\n \"license_type\": \"no_license\",\n \"max_line_length\": 118,\n \"num_lines\": 132,\n \"path\": \"/app/services/test_svc/test_svc_manager.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime\\n\\nfrom fw.api import errors\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.batch_manager import BatchManager\\nfrom fw.documents.db_fields import DocumentBatchDbObject, BatchDocumentDbObject\\nfrom fw.documents.doc_requisites_storage import DocRequisitiesStorage\\nfrom fw.documents.enums import BatchStatusEnum, DocumentBatchTypeEnum, DocumentTypeEnum\\nfrom fw.documents.fields.doc_fields import DocumentBatch\\n\\n\\nclass TestSvcManager(BatchManager):\\n\\n DOC_TITLES = {\\n DocumentTypeEnum.DT_TEST_DOC_1: u'Тестовый документ 1',\\n DocumentTypeEnum.DT_TEST_DOC_2: u'Тестовый документ 2',\\n DocumentTypeEnum.DT_TEST_DOC_3: u'Тестовый документ 3'\\n }\\n\\n BATCH_TYPE = DocumentBatchTypeEnum.DBT_TEST_TYPE\\n\\n # def update_batch(self, batch_id, new_batch, current_user_id, db, config, logger):\\n # current_batch_db_object = DocumentBatchDbObject.query.filter_by(id=batch_id, _owner_id=current_user_id,\\n # deleted=False).first()\\n # if not current_batch_db_object:\\n # raise errors.BatchNotFound()\\n #\\n # batch_status = current_batch_db_object.status\\n # # if batch_status not in (BatchStatusEnum.BS_NEW, BatchStatusEnum.BS_EDITED): # todo\\n # # logger.warn(u\\\"Can't update batch %s in status %s\\\" % (unicode(batch_id), unicode(batch_status)))\\n # # raise errors.DocumentBatchUpdateError()\\n #\\n # try:\\n # current_batch = DocumentBatch.db_obj_to_field(current_batch_db_object)\\n # except Exception:\\n # logger.fatal(u\\\"Failed to validate batch from DB!\\\")\\n # raise\\n #\\n # current_fields = current_batch.data.value\\n # assert isinstance(current_fields, dict)\\n #\\n # # STEP 1: make new data and metadata\\n # # and collect changed fields names\\n # new_batch_db = new_batch.get_db_object()\\n # merged_fields, changed_field_names = self._merge_raw_fields(current_batch_db_object.data, new_batch_db.data)\\n #\\n # current_batch_db_object._metadata = new_batch_db._metadata\\n # current_batch_db_object.data = merged_fields\\n # sqldb.session.commit()\\n #\\n # # STEP 2: make document set from data and schema\\n # try:\\n # new_field_set, new_docs, _ = self.make_docs_for_new_data(\\n # current_batch.data.value,\\n # new_batch.data.value,\\n # current_batch_db_object,\\n # current_batch._documents.values\\n # )\\n # except errors.DocumentBatchUpdateError, ex:\\n # logger.exception(u\\\"Failed to update batch with new values\\\")\\n # current_batch_db_object.error_info = {\\\"error\\\": u\\\"unknown error (%s)\\\" % str(ex)}\\n # sqldb.session.commit()\\n # raise\\n #\\n # current_docs_db_models = [doc for doc in current_batch_db_object._documents]\\n # new_docs_db_models = [BatchDocumentDbObject(**new_doc.get_db_object_data()) for new_doc in new_docs]\\n #\\n # merged_docs, unused_db_docs = self.merge_docs(current_docs_db_models, new_docs_db_models, config)\\n # for doc in merged_docs:\\n # doc.batch = current_batch_db_object\\n # doc._owner_id = current_user_id\\n #\\n # for doc in unused_db_docs:\\n # BatchDocumentDbObject.query.filter_by(id=doc.id).delete()\\n #\\n # sqldb.session.commit()\\n #\\n # # STEP 3: combine old and new documents\\n # error_info = None\\n # try:\\n # current_batch_db_object.metadata = new_batch_db.metadata\\n # current_batch_db_object.data = merged_fields\\n #\\n # # STEP 5: make result fields\\n # current_batch_db_object.result_fields = self.make_result_fields(current_batch, new_field_set)\\n # current_batch_db_object.error_info = None\\n # sqldb.session.commit()\\n # except Exception, ex:\\n # logger.exception(u\\\"Failed to update batch with new values\\\")\\n # current_batch_db_object.error_info = {\\\"error\\\": u\\\"unknown error\\\"}\\n # sqldb.session.commit()\\n # raise errors.DocumentBatchUpdateError()\\n #\\n # error_ext = self.get_batch_errors(current_batch_db_object, logger)\\n # if error_ext:\\n # error_info = {'error_ext': error_ext}\\n # else:\\n # error_info = None\\n # current_batch_db_object.error_info = error_info\\n # sqldb.session.commit()\\n #\\n # self.check_transition(current_batch_db_object)\\n #\\n # current_batch = DocumentBatch.db_obj_to_field(current_batch_db_object)\\n # struct = current_batch.get_api_structure()\\n #\\n # if error_info:\\n # struct['error_info'] = error_info\\n # elif 'error_info' in struct:\\n # del struct['error_info']\\n #\\n # return {'result': struct}\\n\\n def get_title(self, doc_type):\\n return TestSvcManager.DOC_TITLES.get(doc_type, '')\\n\\n def get_batch_caption(self, batch):\\n return u\\\"Тестовый батч\\\"\\n\\n def get_stage(self, batch):\\n return 'unknown'\\n\\n def definalize_batch(self, config, logger, batch, force):\\n if batch.status != BatchStatusEnum.BS_FINALISED:\\n return False\\n\\n batch.status = BatchStatusEnum.BS_EDITED\\n batch.ifns_reg_info = None,\\n batch.last_change_dt = datetime.utcnow()\\n sqldb.session.commit()\\n return True\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6128905415534973,\n \"alphanum_fraction\": 0.6152485609054565,\n \"avg_line_length\": 35.349998474121094,\n \"blob_id\": \"39db13c6b3cabc58ce71e11c2987eb41a34c5fa9\",\n \"content_id\": \"fb0ebf57494a6c4bd237ca39937e77507b876766\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5089,\n \"license_type\": \"no_license\",\n \"max_line_length\": 114,\n \"num_lines\": 140,\n \"path\": \"/app/async/vews_base.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom bson.objectid import ObjectId\\n\\nfrom tornado import escape\\nimport traceback\\nfrom tornado.web import HTTPError\\nfrom tornado import gen\\nfrom tornado.web import asynchronous\\n\\nimport tornado.web\\n\\nclass AsyncConnectionRequestHandler(tornado.web.RequestHandler):\\n\\n def initialize(self):\\n logger = self.application.logger\\n logger.debug(u\\\"Request data: \\\\n%s\\\" % unicode(self.request))\\n logger.debug(u\\\"Arguments data: \\\\n%s\\\" % unicode(self.request.arguments))\\n\\n def _process_response(self, content):\\n return content\\n\\n @asynchronous\\n @gen.coroutine\\n def get(self, *args, **kwargs):\\n yield self.get_content_on_method(self._get_content_on_get, *args, **kwargs)\\n\\n @asynchronous\\n @gen.coroutine\\n def post(self, *args, **kwargs):\\n yield self.get_content_on_method(self._get_content_on_post, *args, **kwargs)\\n\\n @asynchronous\\n @gen.coroutine\\n def patch(self, *args, **kwargs):\\n yield self.get_content_on_method(self._get_content_on_patch, *args, **kwargs)\\n\\n @gen.coroutine\\n def get_content_on_method(self, method, *args, **kwargs):\\n config = self.application.config\\n try:\\n content = yield method(*args, **kwargs)\\n self.set_header('Access-Control-Allow-Credentials', 'true')\\n self.set_header('Access-Control-Allow-Origin', \\\"http://%s\\\" % config['site_domain'])\\n content = self._process_response(content)\\n except errors.ServerUnavailable, exc:\\n self.application.logger.exception(u\\\"Server Unavaliable error\\\")\\n trbk = traceback.format_exc()\\n self.application.logger.exception(trbk)\\n raise HTTPError(503, str(exc))\\n except errors.ApiBaseError, exc:\\n api_error_code = exc.get_error_code()\\n http_error_code = exc.get_http_error_code()\\n api_error_msg = exc.get_error_message()\\n data_json = escape.json_encode({\\\"error\\\" : {\\\"code\\\" : api_error_code, \\\"message\\\" : api_error_msg}})\\n self.set_header('Content-Type', 'application/json')\\n self.set_header('Access-Control-Allow-Credentials', 'true')\\n self.set_header('Access-Control-Allow-Origin', \\\"http://%s\\\" % config['site_domain'])\\n\\n self.write(data_json)\\n self.set_status(http_error_code, reason=api_error_msg)\\n self.finish()\\n if self.application.settings.get('debug'):\\n self.application.logger.debug(\\n \\\"API ERROR \\\" + str(exc.get_error_code()) + \\\": \\\"+ exc.get_error_message().encode(\\\"utf8\\\")\\n )\\n else:\\n self.application.logger.exception(\\n \\\"API ERROR \\\" + str(exc.get_error_code()) + \\\": \\\"+ exc.get_error_message().encode(\\\"utf8\\\")\\n )\\n return\\n except NotImplementedError:\\n raise HTTPError(405)\\n except Exception, exc:\\n trbk = traceback.format_exc()\\n self.application.logger.error(trbk)\\n raise HTTPError(500, trbk)\\n\\n self.write(content)\\n self.finish()\\n\\n @gen.coroutine\\n def _get_content_on_get(self, *args, **kwargs):\\n result = yield self.get_content_on_get(*args, **kwargs)\\n raise gen.Return(result)\\n\\n @gen.coroutine\\n def get_content_on_get(self, *args, **kwargs):\\n raise NotImplementedError()\\n\\n @gen.coroutine\\n def _get_content_on_post(self, *args, **kwargs):\\n result = yield self.get_content_on_post(*args, **kwargs)\\n raise gen.Return(result)\\n\\n @gen.coroutine\\n def get_content_on_post(self, *args, **kwargs):\\n raise NotImplementedError()\\n\\n @gen.coroutine\\n def _get_content_on_patch(self, *args, **kwargs):\\n result = yield self.get_content_on_patch(*args, **kwargs)\\n raise gen.Return(result)\\n\\n @gen.coroutine\\n def get_content_on_patch(self, *args, **kwargs):\\n raise NotImplementedError()\\n\\nclass SessionRequestHandler(AsyncConnectionRequestHandler):\\n\\n def __init__(self, *args, **kwargs): # BLOCKING\\n super(SessionRequestHandler, self).__init__(*args, **kwargs)\\n\\n config = self.application.config\\n session_interface = MongoSessionInterface(\\n None,\\n self.application.sync_db,\\n 'sessions',\\n config['cookie_name'],\\n config['PERMANENT_SESSION_LIFETIME'], False, False)\\n session = session_interface.open_session(None, self) # BLOCKING\\n\\n if 'user_id' in session:\\n user = AuthUser.find_one(self.application.sync_db, {'_id' : ObjectId(session['user_id'])}) # BLOCKING\\n else:\\n user = AnonymousUser()\\n self.user = user\\n\\n\\nclass JsonRequestHandler(SessionRequestHandler):\\n\\n def _process_response(self, content):\\n self.set_header('Content-Type', 'text/javascript')\\n return escape.json_encode(content)\\n\\ndef authorized(func):\\n def wrapper(self, *args, **kwargs):\\n if self.user.is_anonymous:\\n raise errors.NotAuthorized()\\n return func(self, *args, **kwargs)\\n return wrapper\\n\"\n },\n {\n \"alpha_fraction\": 0.6521739363670349,\n \"alphanum_fraction\": 0.6530434489250183,\n \"avg_line_length\": 30.97222137451172,\n \"blob_id\": \"61a4c780954b7e1478fedcebf8ef61afd7d22d85\",\n \"content_id\": \"804dd010a65e6f34442e087e9c5d50061d4ffe7c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1150,\n \"license_type\": \"no_license\",\n \"max_line_length\": 90,\n \"num_lines\": 36,\n \"path\": \"/app/fw/auth/social_services/social_backend.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nclass SocialBackend(object):\\n @staticmethod\\n def get_user_data(config, access_token):\\n \\\"\\\"\\\"\\n Verify access token and return social service user data (dict)\\n \\\"\\\"\\\"\\n raise NotImplementedError(\\\"Must be implemented in derived classes\\\")\\n\\n @staticmethod\\n def get_user_link(social_uid):\\n \\\"\\\"\\\"\\n Return instance of BaseSocialUserLink subclass corresponding to given user id.\\n \\\"\\\"\\\"\\n raise NotImplementedError(\\\"Must be implemented in derived classes\\\")\\n\\n @staticmethod\\n def make_link(access_token, social_uid, auth_user, config):\\n \\\"\\\"\\\"\\n Make social service user link.\\n \\\"\\\"\\\"\\n raise NotImplementedError(\\\"Must be implemented in derived classes\\\")\\n\\n @staticmethod\\n def get_token_url(config, next_page=\\\"/\\\"):\\n raise NotImplementedError(\\\"Must be implemented in derived classes\\\")\\n\\n @staticmethod\\n def new_post(post_content, auth_user, config, link_to_attach=None):\\n return\\n\\n @staticmethod\\n def get_profile_url(social_link_object):\\n raise NotImplementedError(\\\"Must be implemented in derived classes\\\")\"\n },\n {\n \"alpha_fraction\": 0.7306272983551025,\n \"alphanum_fraction\": 0.7315497994422913,\n \"avg_line_length\": 32.75,\n \"blob_id\": \"48f9d5315aabaf79c476196d0ac1441b12204e46\",\n \"content_id\": \"2142dd6070e0a440f2f4262feb1e837c6ff92145\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1084,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 32,\n \"path\": \"/app/services/yurist/data_model/models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom bson import ObjectId\\nfrom sqlalchemy import Column, Unicode, String, ForeignKey, DateTime, Boolean\\nfrom sqlalchemy.orm import relationship\\nfrom sqlalchemy.sql.functions import func\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\nclass YuristBatchCheckObject(sqldb.Model):\\n __tablename__ = \\\"yurist_batch_check\\\"\\n\\n id = Column(String, primary_key=True, default=lambda: str(ObjectId()))\\n batch_id = Column(String, ForeignKey('doc_batch.id'), nullable=True)\\n batch = relationship(\\\"DocumentBatchDbObject\\\", uselist=False)\\n\\n status = Column(Unicode, nullable=False, default=\\\"new\\\")\\n\\n create_date=Column(DateTime, nullable=False, default=func.now())\\n typos_correction=Column(Boolean, nullable=False)\\n\\n attached_files = relationship(\\\"YuristCheckFilesObject\\\")\\n\\n\\nclass YuristCheckFilesObject(sqldb.Model):\\n __tablename__ = 'yurist_check_files'\\n\\n check_id = Column(String, ForeignKey('yurist_batch_check.id'), primary_key=True)\\n files_id = Column(String, ForeignKey('files.id'), primary_key=True)\\n\\n child = relationship(\\\"FileObject\\\")\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.4845817983150482,\n \"alphanum_fraction\": 0.5009856224060059,\n \"avg_line_length\": 32.5,\n \"blob_id\": \"1df376479596b600d0091251c5c227f451b55085\",\n \"content_id\": \"8c7a717e16f2bf54d80a47db02159dab684e3b08\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 14960,\n \"license_type\": \"no_license\",\n \"max_line_length\": 112,\n \"num_lines\": 424,\n \"path\": \"/app/services/partners/partners_manage_commands.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom datetime import datetime\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.address_enums import RFRegionsEnum\\nfrom fw.documents.common_schema_fields import ADDRESS_FIELD\\nfrom manage_commands import BaseManageCommand\\nfrom services.partners.models import (\\n AccountantPartnersObject,\\n BankPartnersObject,\\n BankPartnersServiceObject,\\n StampPartnersObject,\\n BankPartnerRequestObject)\\n\\n_BANK_PARTNER_SCHEMA = [{\\n \\\"name\\\": \\\"contact_phone\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocPhoneNumberField\\\",\\n \\\"required\\\": True,\\n \\\"suppress_validation_errors\\\": True,\\n \\\"value\\\": {\\n \\\"#cases\\\": {\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"bank_contact_phone_general_manager\\\": True\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"general_manager->phone\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"bank_contact_phone\\\"\\n }\\n }\\n }\\n }\\n}, {\\n \\\"name\\\": \\\"short_name\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\": {\\n \\\"send_private_data\\\": False\\n }\\n}, {\\n \\\"name\\\": \\\"ogrn\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocTextField\\\",\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"<batch>->result_fields->ifns_reg_info->ogrn\\\"\\n }\\n}, {\\n \\\"name\\\": \\\"inn\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\": {\\n \\\"send_private_data\\\": False\\n }\\n}, ADDRESS_FIELD, {\\n \\\"name\\\": \\\"general_manager_caption\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": False,\\n \\\"suppress_validation_errors\\\": {\\n \\\"send_private_data\\\": False\\n }\\n}, {\\n \\\"name\\\": \\\"general_manager\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False,\\n \\\"override_fields_kwargs\\\": {\\n \\\"phone\\\": {\\n \\\"required\\\": True\\n },\\n \\\"address\\\": {\\n \\\"required\\\": True\\n }\\n },\\n \\\"suppress_validation_errors\\\": {\\n \\\"send_private_data\\\": False\\n }\\n}, {\\n \\\"name\\\": \\\"bank_title\\\",\\n \\\"type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": True,\\n \\\"suppress_validation_errors\\\": True\\n}, {\\n \\\"name\\\": \\\"schema\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": True,\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"<config>->WEB_SCHEMA\\\"\\n }\\n}, {\\n \\\"name\\\": \\\"domain\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocTextField\\\",\\n \\\"required\\\": True,\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"<config>->DOMAIN\\\"\\n }\\n}]\\n\\n#################################################################################################\\n\\n_BANK_PARTNER_SCHEMA2 = [\\n {\\n \\\"name\\\": \\\"contact_phone\\\",\\n \\\"type\\\": \\\"calculated\\\",\\n \\\"field_type\\\": \\\"DocPhoneNumberField\\\",\\n \\\"required\\\": True,\\n \\\"suppress_validation_errors\\\": True,\\n \\\"value\\\": {\\n \\\"#cases\\\": {\\n \\\"list\\\": [{\\n \\\"conditions\\\": {\\n \\\"bank_contact_phone_general_manager\\\": True\\n },\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"general_manager->phone\\\"\\n }\\n }],\\n \\\"default\\\": {\\n \\\"value\\\": {\\n \\\"#field\\\": \\\"bank_contact_phone\\\"\\n }\\n }\\n }\\n }\\n },\\n ADDRESS_FIELD,\\n {\\n \\\"name\\\": \\\"general_manager\\\",\\n \\\"type\\\": \\\"db_object\\\",\\n \\\"cls\\\": \\\"PrivatePerson\\\",\\n \\\"required\\\": False,\\n \\\"override_fields_kwargs\\\": {\\n \\\"phone\\\": {\\n \\\"required\\\": True\\n },\\n \\\"address\\\": {\\n \\\"required\\\": True\\n }\\n },\\n \\\"suppress_validation_errors\\\": {\\n \\\"send_private_data\\\": False\\n }\\n }\\n]\\n\\n\\nclass ReinitPartnersCommand(BaseManageCommand):\\n NAME = \\\"reinit_partners\\\"\\n\\n def run(self):\\n schema = self.config['WEB_SCHEMA']\\n domain = self.config['DOMAIN']\\n\\n make_link = lambda x: '%s://%s/res/%s' % (schema, domain, x)\\n\\n BankPartnerRequestObject.query.delete()\\n BankPartnersServiceObject.query.delete()\\n BankPartnersObject.query.delete()\\n sqldb.session.commit()\\n\\n new_item = BankPartnersObject(\\n id=\\\"553faf59bdffb5220faca395\\\",\\n region=[RFRegionsEnum.RFR_SPB,\\n RFRegionsEnum.RFR_MOSCOW,\\n RFRegionsEnum.RFR_SVERDLOVSKAYA_REGION,\\n RFRegionsEnum.RFR_CHELYABINSKAYA_REGION,\\n RFRegionsEnum.RFR_TATARSTAN,\\n RFRegionsEnum.RFR_NOVOSIBIRSKAYA_REGION,\\n RFRegionsEnum.RFR_KRASNOYARSKIY_KRAY],\\n city=[RFRegionsEnum.RFR_SPB,\\n RFRegionsEnum.RFR_MOSCOW,\\n u\\\"Екатеринбург\\\",\\n u\\\"Челябинск\\\",\\n u\\\"Казань\\\",\\n u\\\"Новосибирск\\\",\\n u\\\"Красноярск\\\"],\\n enabled=True,\\n sort_index=1,\\n link='',\\n banner=make_link('b1.png'),\\n title=u'«Открытие»',\\n created=datetime.utcnow(),\\n conditions=[u\\\"Открытие расчетного счета — бесплатно\\\"]\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n new_item = BankPartnersObject(\\n id=\\\"55c9afab543ed837fea53db2\\\",\\n region=[\\n RFRegionsEnum.RFR_IRKUTSKAYA_REGION,\\n RFRegionsEnum.RFR_ALTAYSKIY_KRAI,\\n RFRegionsEnum.RFR_BELGORODSKAYA_REGION,\\n RFRegionsEnum.RFR_PRIMORSKIY_KRAI,\\n RFRegionsEnum.RFR_VOLGOGRADSKAYA_REGION,\\n RFRegionsEnum.RFR_VORONEZHSKAYA_REGION,\\n RFRegionsEnum.RFR_SVERDLOVSKAYA_REGION,\\n RFRegionsEnum.RFR_UDMURTIYA,\\n RFRegionsEnum.RFR_IRKUTSKAYA_REGION,\\n RFRegionsEnum.RFR_TATARSTAN,\\n RFRegionsEnum.RFR_KALININGRADSKAYA_REGION,\\n RFRegionsEnum.RFR_KALUZHSKAYA_REGION,\\n RFRegionsEnum.RFR_KEMEROVSKAYA_REGION,\\n RFRegionsEnum.RFR_KRASNODARSKIY_KRAI,\\n RFRegionsEnum.RFR_KRASNOYARSKIY_KRAY,\\n RFRegionsEnum.RFR_LIPETSKAYA_REGION,\\n RFRegionsEnum.RFR_CHELYABINSKAYA_REGION,\\n RFRegionsEnum.RFR_MOSCOW,\\n RFRegionsEnum.RFR_MURMANSKAYA_REGION,\\n RFRegionsEnum.RFR_UGRA,\\n RFRegionsEnum.RFR_NIZHEGORODSKAYA_REGION,\\n RFRegionsEnum.RFR_NOVOSIBIRSKAYA_REGION,\\n RFRegionsEnum.RFR_OMSKAYA_REGION,\\n RFRegionsEnum.RFR_ORENBURGSKAYA_REGION,\\n RFRegionsEnum.RFR_PENZENSKAYA_REGION,\\n RFRegionsEnum.RFR_PERMSKIY_KRAI,\\n RFRegionsEnum.RFR_ROSTOVSKAYA_REGION,\\n RFRegionsEnum.RFR_RYAZANSKAYA_REGION,\\n RFRegionsEnum.RFR_SAMARSKAYA_REGION,\\n RFRegionsEnum.RFR_SPB,\\n RFRegionsEnum.RFR_SARATOVSKAYA_REGION,\\n RFRegionsEnum.RFR_STAVROPOLSKY_KRAI,\\n RFRegionsEnum.RFR_TVERSKAYA_REGION,\\n RFRegionsEnum.RFR_TOMSKAYA_REGION,\\n RFRegionsEnum.RFR_TULSKAYA_REGION,\\n RFRegionsEnum.RFR_TUMENSKAYA_REGION,\\n RFRegionsEnum.RFR_ULYANOVSKAYA_REGION,\\n RFRegionsEnum.RFR_BASHKARTOSTAN,\\n RFRegionsEnum.RFR_HABAROVSKY_KRAI,\\n RFRegionsEnum.RFR_CHUVASHIYA,\\n RFRegionsEnum.RFR_YAROSLAVSKAYA_REGION\\n ],\\n city=[\\n u\\\"Ангарск\\\"\\n u\\\"Барнаул\\\",\\n u\\\"Белгород\\\",\\n u\\\"Владивосток\\\",\\n u\\\"Волгоград\\\",\\n u\\\"Волжский\\\",\\n u\\\"Воронеж\\\",\\n u\\\"Екатеринбург\\\",\\n u\\\"Ижевск\\\",\\n u\\\"Иркутск\\\",\\n u\\\"Казань\\\",\\n u\\\"Калининград\\\",\\n u\\\"Калуга\\\",\\n u\\\"Кемерово\\\",\\n u\\\"Краснодар\\\",\\n u\\\"Красноярск\\\",\\n u\\\"Липецк\\\",\\n u\\\"Магнитогорск\\\",\\n u\\\"Москва\\\",\\n u\\\"Мурманск\\\",\\n u\\\"Набережные Челны\\\",\\n u\\\"Нижневартовск\\\",\\n u\\\"Нижний Новгород\\\",\\n u\\\"Новокузнецк\\\",\\n u\\\"Новосибирск\\\",\\n u\\\"Омск\\\",\\n u\\\"Оренбург\\\",\\n u\\\"Орск\\\",\\n u\\\"Пенза\\\",\\n u\\\"Пермь\\\",\\n u\\\"Ростов-на-Дону\\\",\\n u\\\"Рязань\\\",\\n u\\\"Самара\\\",\\n u\\\"Санкт-Петербург\\\",\\n u\\\"Саратов\\\",\\n u\\\"Сочи\\\",\\n u\\\"Ставрополь\\\",\\n u\\\"Сургут\\\",\\n u\\\"Тверь\\\",\\n u\\\"Томск\\\",\\n u\\\"Тула\\\",\\n u\\\"Тюмень\\\",\\n u\\\"Ульяновск\\\",\\n u\\\"Уфа\\\",\\n u\\\"Хабаровск\\\",\\n u\\\"Чебоксары\\\",\\n u\\\"Челябинск\\\",\\n u\\\"Ярославль\\\"],\\n enabled=True,\\n sort_index=2,\\n link='',\\n banner=make_link('b2.png'),\\n title=u'«Альфа-банк»',\\n created=datetime.utcnow(),\\n conditions=[\\n u\\\"бесплатный выезд менеджера в офис\\\",\\n u\\\"открытие расчетного счета за 2‒3 дня\\\",\\n u\\\"3 месяца бесплатно при оплате сразу 9 месяцев\\\",\\n u\\\"до 3000 рублей на поиск профессионалов на HH.ru\\\",\\n u\\\"до 9000 рублей на Яндекс.Директ после открытия счета в подарок\\\"\\n ]\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n new_item = BankPartnersServiceObject(\\n id=\\\"553faff4bdffb5220faca396\\\",\\n type='email',\\n email='grigoryan@bank24.ru',\\n fields=_BANK_PARTNER_SCHEMA,\\n template_name='account_creation_consultation_request',\\n bank_partner_id=\\\"553faf59bdffb5220faca395\\\"\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n is_prod = not self.config['STAGING'] and not self.config['DEBUG']\\n new_item = BankPartnersServiceObject(\\n id=\\\"55c9eab75f7105f302fbfadc\\\",\\n type='web',\\n config={\\n 'method': 'post',\\n 'url': 'https://alfabank.ru/sme/invitation/' if is_prod\\n else 'http://ifns.staging.legalcloud.ru/send_bank_request/',\\n },\\n fields=_BANK_PARTNER_SCHEMA2,\\n template_name='alpha_bank_web_request',\\n bank_partner_id=\\\"55c9afab543ed837fea53db2\\\"\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n if self.config['STAGING'] or self.config['DEBUG']:\\n new_item = BankPartnersObject(\\n id=\\\"554b5d3fd045c98560aa9352\\\",\\n region=[RFRegionsEnum.RFR_SPB,\\n RFRegionsEnum.RFR_MOSCOW],\\n city=[RFRegionsEnum.RFR_SPB,\\n RFRegionsEnum.RFR_MOSCOW],\\n enabled=True,\\n sort_index=1,\\n link='',\\n banner=make_link('b1.png'),\\n title=u'«Закрытие»',\\n created=datetime.utcnow(),\\n conditions=[u\\\"condition1\\\", u\\\"ждфыловаджо фывалджо фыджво\\\"]\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n new_item = BankPartnersServiceObject(\\n id=\\\"554b5d4dd045c98560aa9353\\\",\\n type='email',\\n email='sas@tochka2.com',\\n fields=_BANK_PARTNER_SCHEMA,\\n template_name='account_creation_consultation_request',\\n bank_partner_id=\\\"554b5d3fd045c98560aa9352\\\"\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n # accounts\\n AccountantPartnersObject.query.delete()\\n sqldb.session.commit()\\n\\n new_partner = AccountantPartnersObject(\\n id=\\\"55424ad532dba9d4e53c990a\\\",\\n region=None,\\n enabled=True,\\n sort_index=1,\\n link='https://www.moedelo.org/Referal/Lead/12568?targetUrl=www.moedelo.org/Prices',\\n banner=make_link('a1.png'),\\n title=u'«Моё.Дело»',\\n created=datetime.utcnow(),\\n type='online'\\n )\\n sqldb.session.add(new_partner)\\n\\n new_partner = AccountantPartnersObject(\\n id=\\\"554a408d8d807ba959e548a8\\\",\\n region=None,\\n enabled=True,\\n sort_index=1,\\n link='http://www.b-kontur.ru/?p=3020',\\n banner=make_link('a2.png'),\\n title=u'«Контур.Бухгалтерия»',\\n created=datetime.utcnow(),\\n type='online'\\n )\\n sqldb.session.add(new_partner)\\n sqldb.session.commit()\\n\\n if self.config['STAGING'] or self.config['DEBUG']:\\n new_partner = AccountantPartnersObject(\\n id=\\\"554b5d11d045c98560aa9351\\\",\\n region=[RFRegionsEnum.RFR_SPB, RFRegionsEnum.RFR_MOSCOW],\\n enabled=True,\\n sort_index=100,\\n link='http://www.b-kontur.ru/?p=3020',\\n banner=make_link('a2.png'),\\n title=u'«Бухгалтерия.Контур»',\\n created=datetime.utcnow(),\\n type='offline'\\n )\\n sqldb.session.add(new_partner)\\n sqldb.session.commit()\\n\\n StampPartnersObject.query.delete()\\n sqldb.session.commit()\\n\\n if self.config['STAGING'] or self.config['DEBUG']:\\n new_item = StampPartnersObject(\\n id=\\\"55424a8432dba9d4e53c9909\\\",\\n region=[RFRegionsEnum.RFR_SPB, RFRegionsEnum.RFR_MOSCOW, RFRegionsEnum.RFR_SVERDLOVSKAYA_REGION,\\n RFRegionsEnum.RFR_CHELYABINSKAYA_REGION, RFRegionsEnum.RFR_TATARSTAN,\\n RFRegionsEnum.RFR_NOVOSIBIRSKAYA_REGION, RFRegionsEnum.RFR_KRASNOYARSKIY_KRAY],\\n enabled=True,\\n sort_index=1,\\n link='http://google.ru',\\n banner='http://yastatic.net/morda-logo/i/logo.svg',\\n title=u'«Закрытие»',\\n created=datetime.utcnow()\\n )\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\"\n },\n {\n \"alpha_fraction\": 0.6719056963920593,\n \"alphanum_fraction\": 0.6758349537849426,\n \"avg_line_length\": 24.450000762939453,\n \"blob_id\": \"42afef313318c24517c98c09ac5a0679ac93706f\",\n \"content_id\": \"a9faf6a3e74141956e2e7bcad4b06ffb6e96f506\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 509,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 20,\n \"path\": \"/app/deployment_migrations/migration_list/20151013_add_multi_files_table.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\ndef forward(config, logger):\\n logger.debug(u\\\"Add m2m table for document files\\\")\\n\\n sqldb.session.close()\\n sqldb.engine.execute(\\\"\\\"\\\"CREATE TABLE doc_files (\\n doc_id VARCHAR NOT NULL,\\n files_id VARCHAR NOT NULL,\\n PRIMARY KEY (doc_id, files_id),\\n FOREIGN KEY(doc_id) REFERENCES batch_docs (id) ON DELETE cascade,\\n FOREIGN KEY(files_id) REFERENCES files (id) ON DELETE cascade\\n);\\\"\\\"\\\")\\n\\n\\ndef rollback(config, logger):\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.5330764055252075,\n \"alphanum_fraction\": 0.5350031852722168,\n \"avg_line_length\": 31.4375,\n \"blob_id\": \"5c65c835c8f4f005143d6fe073eeb2fb4b25b0c3\",\n \"content_id\": \"548fc47278a442f8b517bcf55a4b23679331220f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3114,\n \"license_type\": \"no_license\",\n \"max_line_length\": 118,\n \"num_lines\": 96,\n \"path\": \"/app/fw/db/base.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nclass BaseMongoModel(object):\\n def __init__(self, **kwargs):\\n self.__data = kwargs or {}\\n\\n def __getattr__(self, item):\\n if item == '_BaseMongoModel__data':\\n return object.__getattribute__(self, '__data')\\n return self.__data.get(item, None)\\n\\n def __setattr__(self, key, value):\\n if key.startswith('_'):\\n object.__setattr__(self, key, value)\\n return\\n self.__data[key] = value\\n\\n def __getitem__(self, item):\\n return self.__data[item]\\n\\n def __setitem__(self, item, value):\\n self.__data[item] = value\\n\\n def get(self, item, default_value=None):\\n return self.__data.get(item, default_value)\\n\\n def insert(self, db, prepared_data=None, **kwargs):\\n prepared_data = prepared_data or self.__data\\n\\n result_data = {}\\n for c in prepared_data:\\n val = prepared_data[c]\\n if isinstance(val, BaseMongoModel):\\n result_data[c] = val.as_dict()\\n elif isinstance(val, list):\\n tmp_list = []\\n for i in val:\\n if isinstance(i, BaseMongoModel):\\n tmp_list.append(i.as_dict())\\n else:\\n tmp_list.append(i)\\n result_data[c] = tmp_list\\n else:\\n result_data[c] = prepared_data[c]\\n\\n _id = self.get_collection(db).insert(result_data, **kwargs)\\n self.__data['_id'] = _id\\n return _id\\n\\n def __cmp__(self, other):\\n if '_id' not in self.__data and '_id' not in other.__data:\\n return 0 if self.__data == other.__data else -1\\n if ('_id' not in self.__data and '_id' in other.__data) or '_id' in self.__data and '_id' not in other.__data:\\n return -1\\n return 0 if self.__data['_id'] == other.__data['_id'] else -1\\n\\n @classmethod\\n def get_collection(cls, db):\\n return db[cls.COLLECTION_NAME]\\n\\n @classmethod\\n def find_one(cls, db, *args, **kwargs):\\n col = cls.get_collection(db)\\n result = col.find_one(*args, **kwargs)\\n if not result:\\n return\\n new_obj = cls(**result)\\n return new_obj\\n\\n @classmethod\\n def find(cls, db, *args, **kwargs):\\n col = cls.get_collection(db)\\n return col.find(*args, **kwargs)\\n\\n def as_dict(self):\\n return self.__data\\n\\n def update_attr(self, key, val):\\n self.__data[key] = val\\n\\n @classmethod\\n def update(cls, db, spec, document, upsert=False, manipulate=False, safe=None, multi=False, check_keys=True,\\n **kwargs):\\n col = cls.get_collection(db)\\n return col.update(spec, document, upsert, manipulate, safe, multi, check_keys, **kwargs)\\n\\n def save(self, db):\\n if '_id' not in self.__data:\\n raise Exception(\\\"Can't save new model. Use insert method instead\\\")\\n self.get_collection(db).update({\\\"_id\\\": self.__data[\\\"_id\\\"]}, self.__data)\\n\\n @classmethod\\n def remove(cls, db, query):\\n col = cls.get_collection(db)\\n return col.remove(query)\\n\"\n },\n {\n \"alpha_fraction\": 0.46866583824157715,\n \"alphanum_fraction\": 0.673317015171051,\n \"avg_line_length\": 90.7977523803711,\n \"blob_id\": \"5d5d9891a55ed15c5bd87ee87793e6d32c3d3fa8\",\n \"content_id\": \"d7c70a6d08ac3a87d54b9009d24970a7760e8d6e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 9860,\n \"license_type\": \"no_license\",\n \"max_line_length\": 238,\n \"num_lines\": 89,\n \"path\": \"/app/services/car_assurance/ci_commands.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom fw.documents.address_enums import RFRegionsEnum\\nfrom manage_commands import BaseManageCommand\\nfrom fw.db.sql_base import db as sqldb\\nfrom services.car_assurance.db_models import CarAssurance, CarAssuranceBranch\\n\\n\\nclass InitCarInsurancesCommand(BaseManageCommand):\\n NAME = \\\"create_car_insurances\\\"\\n\\n def run(self):\\n self.logger.info(u'=' * 50)\\n\\n CarAssuranceBranch.query.filter().delete()\\n sqldb.session.commit()\\n CarAssurance.query.filter().delete()\\n sqldb.session.commit()\\n\\n a_data = (\\n (u'559a9b984056d47aa5c57c5b', u'РЕСО-Гарантия'),\\n (u'559a9b984056d47aa5c57c5c', u'ООО \\\"СФ \\\"Адонис\\\"'),\\n (u'559a9b994056d47aa5c57c5d', u'ООО \\\"СК АЛРОСА\\\"'),\\n (u'559a9b994056d47aa5c57c5e', u'ОАО \\\"АльфаСтрахование\\\"'),\\n (u'559a9b994056d47aa5c57c5f', u'ОАО СК \\\"Альянс\\\"'),\\n (u'559a9b994056d47aa5c57c60', u'ООО \\\"Страховая компания \\\"Ангара\\\"'),\\n (u'559a9b9a4056d47aa5c57c61', u'ООО \\\"Антал-Страхование\\\"'),\\n (u'559a9b9a4056d47aa5c57c62', u'ООО \\\"СГ \\\"АСКО\\\"'),\\n (u'559a9b9a4056d47aa5c57c63', u'ООО СК \\\"ВТБ Страхование\\\"'),\\n (u'559a9b9a4056d47aa5c57c64', u'ООО Страховая Компания \\\"Гелиос\\\"')\\n )\\n\\n for id_val, name in a_data:\\n c = CarAssurance(id=id_val, full_name=name, short_name=name)\\n sqldb.session.add(c)\\n sqldb.session.commit()\\n\\n b_data = (\\n (u'559a9b984056d47aa5c57c5b', u'РЕСО-Гарантия филиал 1', u'730-30-00; доб.1682 (факс)', u'Нагорный проезд д.6, г.Москва, 117105', RFRegionsEnum.RFR_MOSCOW, u'559a9cf64056d47aa5c57c69'),\\n (u'559a9b984056d47aa5c57c5b', u'РЕСО-Гарантия филиал 2', u'730-30-00; доб.1682 (факс)', u'Нагорный проезд д.6, г.Москва, 117105', RFRegionsEnum.RFR_MOSCOW, u'559a9cf64056d47aa5c57c6a'),\\n (u'559a9b984056d47aa5c57c5b', u'РЕСО-Гарантия филиал 3', u'730-30-00; доб.1682 (факс)', u'Нагорный проезд д.6, г.Москва, 117105', RFRegionsEnum.RFR_MOSCOW, u'559a9cf64056d47aa5c57c6b'),\\n\\n (u'559a9b984056d47aa5c57c5c', u'ООО \\\"СФ \\\"Адонис\\\" филиал 1', u\\\"(342) 241-02-87\\\", u'ул. Братьев Игнатовых, д. 3, оф.710, г. Пермь', RFRegionsEnum.RFR_PERMSKIY_KRAI, u'559a9e0964f10cabe6678653'),\\n (u'559a9b984056d47aa5c57c5c', u'ООО \\\"СФ \\\"Адонис\\\" филиал 2', u\\\"(342) 241-02-87\\\", u'ул. Братьев Игнатовых, д. 3, оф.710, г. Пермь', RFRegionsEnum.RFR_PERMSKIY_KRAI, u'559a9e0a64f10cabe6678654'),\\n (u'559a9b984056d47aa5c57c5c', u'ООО \\\"СФ \\\"Адонис\\\" филиал 3', u\\\"(342) 241-02-87\\\", u'ул. Братьев Игнатовых, д. 3, оф.710, г. Пермь', RFRegionsEnum.RFR_PERMSKIY_KRAI, u'559a9e0b64f10cabe6678655'),\\n\\n (u'559a9b994056d47aa5c57c5d', u'ООО \\\"СК АЛРОСА\\\" филиал 1', u\\\"(495) 664-28-81 (тел/факс)\\\", u\\\"Мукомольный пр-д, д.2, стр.1, г.Москва, 123290\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9e9c64f10cabe6678658\\\"),\\n (u'559a9b994056d47aa5c57c5d', u'ООО \\\"СК АЛРОСА\\\" филиал 2', u\\\"(495) 664-28-81 (тел/факс)\\\", u\\\"Мукомольный пр-д, д.2, стр.1, г.Москва, 123290\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9e9c64f10cabe6678657\\\"),\\n (u'559a9b994056d47aa5c57c5d', u'ООО \\\"СК АЛРОСА\\\" филиал 3', u\\\"(495) 664-28-81 (тел/факс)\\\", u\\\"Мукомольный пр-д, д.2, стр.1, г.Москва, 123290\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9e9c64f10cabe6678656\\\"),\\n\\n (u'559a9b994056d47aa5c57c5e', u'ОАО \\\"АльфаСтрахование\\\" филиал 1', u\\\"788-09-99; 785-08-88 (факс)\\\", u\\\"Ул. Шаболовка, д. 31, строение \\\\\\\"Б\\\\\\\", г.Москва, 115162\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9ee564f10cabe6678659\\\"),\\n (u'559a9b994056d47aa5c57c5e', u'ОАО \\\"АльфаСтрахование\\\" филиал 2', u\\\"788-09-99; 785-08-88 (факс)\\\", u\\\"Ул. Шаболовка, д. 31, строение \\\\\\\"Б\\\\\\\", г.Москва, 115162\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9ee564f10cabe667865a\\\"),\\n (u'559a9b994056d47aa5c57c5e', u'ОАО \\\"АльфаСтрахование\\\" филиал 3', u\\\"788-09-99; 785-08-88 (факс)\\\", u\\\"Ул. Шаболовка, д. 31, строение \\\\\\\"Б\\\\\\\", г.Москва, 115162\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9ee664f10cabe667865b\\\"),\\n\\n (u'559a9b994056d47aa5c57c5f', u'ОАО СК \\\"Альянс\\\" филиал 1', u\\\"956-21-05\\\", u\\\"Озерковская набережная, д. 30, г.Москва, 115184\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9f3364f10cabe667865c\\\"),\\n (u'559a9b994056d47aa5c57c5f', u'ОАО СК \\\"Альянс\\\" филиал 2', u\\\"956-21-05\\\", u\\\"Озерковская набережная, д. 30, г.Москва, 115184\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9f3364f10cabe667865d\\\"),\\n (u'559a9b994056d47aa5c57c5f', u'ОАО СК \\\"Альянс\\\" филиал 3', u\\\"956-21-05\\\", u\\\"Озерковская набережная, д. 30, г.Москва, 115184\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9f3364f10cabe667865e\\\"),\\n\\n (u'559a9b994056d47aa5c57c60', u'ООО \\\"Страховая компания \\\"Ангара\\\" филиал 1', u\\\"(3953) 41-15-15 (тел/факс)\\\", u\\\"ул.Южная, д.23, г.Братск, Иркутская обл., 665717\\\", RFRegionsEnum.RFR_IRKUTSKAYA_REGION, u\\\"559a9f8764f10cabe667865f\\\"),\\n (u'559a9b994056d47aa5c57c60', u'ООО \\\"Страховая компания \\\"Ангара\\\" филиал 2', u\\\"(3953) 41-15-15 (тел/факс)\\\", u\\\"ул.Южная, д.23, г.Братск, Иркутская обл., 665717\\\", RFRegionsEnum.RFR_IRKUTSKAYA_REGION, u\\\"559a9f8764f10cabe6678660\\\"),\\n (u'559a9b994056d47aa5c57c60', u'ООО \\\"Страховая компания \\\"Ангара\\\" филиал 3', u\\\"(3953) 41-15-15 (тел/факс)\\\", u\\\"ул.Южная, д.23, г.Братск, Иркутская обл., 665717\\\", RFRegionsEnum.RFR_IRKUTSKAYA_REGION, u\\\"559a9f8864f10cabe6678661\\\"),\\n\\n (u'559a9b9a4056d47aa5c57c61', u'ООО \\\"Антал-Страхование\\\" филиал 1', u\\\"8-800-333-18-22\\\", u\\\"Петровский пер., д.10, строение 2, г. Москва, 107031\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9fd164f10cabe6678662\\\"),\\n (u'559a9b9a4056d47aa5c57c61', u'ООО \\\"Антал-Страхование\\\" филиал 2', u\\\"8-800-333-18-22\\\", u\\\"Петровский пер., д.10, строение 2, г. Москва, 107031\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9fd164f10cabe6678663\\\"),\\n (u'559a9b9a4056d47aa5c57c61', u'ООО \\\"Антал-Страхование\\\" филиал 3', u\\\"8-800-333-18-22\\\", u\\\"Петровский пер., д.10, строение 2, г. Москва, 107031\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559a9fd264f10cabe6678664\\\"),\\n\\n (u'559a9b9a4056d47aa5c57c62', u'ООО \\\"СГ \\\"АСКО\\\" филиал 1', u\\\"(8552) 39-23-9\\\", u\\\"Проспект Вахитова, дом 24, а/я 27, г.Набережные Челны, Республика Татарстан, 423815\\\", RFRegionsEnum.RFR_TATARSTAN, u\\\"559aa01364f10cabe6678665\\\"),\\n (u'559a9b9a4056d47aa5c57c62', u'ООО \\\"СГ \\\"АСКО\\\" филиал 2', u\\\"(8552) 39-23-9\\\", u\\\"Проспект Вахитова, дом 24, а/я 27, г.Набережные Челны, Республика Татарстан, 423815\\\", RFRegionsEnum.RFR_TATARSTAN, u\\\"559aa01364f10cabe6678666\\\"),\\n (u'559a9b9a4056d47aa5c57c62', u'ООО \\\"СГ \\\"АСКО\\\" филиал 3', u\\\"(8552) 39-23-9\\\", u\\\"Проспект Вахитова, дом 24, а/я 27, г.Набережные Челны, Республика Татарстан, 423815\\\", RFRegionsEnum.RFR_TATARSTAN, u\\\"559aa01364f10cabe6678667\\\"),\\n\\n (u'559a9b9a4056d47aa5c57c63', u'ООО СК \\\"ВТБ Страхование\\\" филиал 1', u\\\"(495) 644-44-40\\\", u\\\"Чистопрудный бульвар, д. 8, стр. 1, г. Москва\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559aa08e64f10cabe6678668\\\"),\\n (u'559a9b9a4056d47aa5c57c63', u'ООО СК \\\"ВТБ Страхование\\\" филиал 2', u\\\"(495) 644-44-40\\\", u\\\"Чистопрудный бульвар, д. 8, стр. 1, г. Москва\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559aa08e64f10cabe6678669\\\"),\\n (u'559a9b9a4056d47aa5c57c63', u'ООО СК \\\"ВТБ Страхование\\\" филиал 3', u\\\"(495) 644-44-40\\\", u\\\"Чистопрудный бульвар, д. 8, стр. 1, г. Москва\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559aa08f64f10cabe667866a\\\"),\\n\\n (u'559a9b9a4056d47aa5c57c64', u'ООО Страховая Компания \\\"Гелиос\\\" филиал 1', u\\\"(495)981-96-33\\\", u\\\"Бульвар Энтузиастов, д. 2, г. Москва, 109544\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559aa0bf64f10cabe667866b\\\"),\\n (u'559a9b9a4056d47aa5c57c64', u'ООО Страховая Компания \\\"Гелиос\\\" филиал 2', u\\\"(495)981-96-33\\\", u\\\"Бульвар Энтузиастов, д. 2, г. Москва, 109544\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559aa0bf64f10cabe667866c\\\"),\\n (u'559a9b9a4056d47aa5c57c64', u'ООО Страховая Компания \\\"Гелиос\\\" филиал 3', u\\\"(495)981-96-33\\\", u\\\"Бульвар Энтузиастов, д. 2, г. Москва, 109544\\\", RFRegionsEnum.RFR_MOSCOW, u\\\"559aa0c064f10cabe667866d\\\")\\n )\\n\\n for ca_id, title, phone, address, region, id_val in b_data:\\n cb = CarAssuranceBranch(\\n car_assurance_id=ca_id,\\n id=id_val,\\n title=title,\\n address=address,\\n phone=phone,\\n region=region\\n )\\n sqldb.session.add(cb)\\n sqldb.session.commit()\\n\"\n },\n {\n \"alpha_fraction\": 0.745312511920929,\n \"alphanum_fraction\": 0.75,\n \"avg_line_length\": 36.70588302612305,\n \"blob_id\": \"57a223ce0d6eb73bda77780e32fda5fe831f4dfe\",\n \"content_id\": \"d609694915b44aa2c3f6faeb99b03fffc76b97d4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 640,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 17,\n \"path\": \"/app/services/yurist/__init__.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport os\\n\\nimport jinja2\\n\\nfrom services.yurist.api import yurist_bp\\n\\n\\ndef register(app, jinja_env, class_loader, url_prefix=None):\\n app.register_blueprint(yurist_bp, url_prefix=url_prefix)\\n\\n search_path = os.path.normpath(os.path.join(os.path.abspath(os.path.dirname(__file__)), u\\\"templates\\\"))\\n jinja_env.loader.loaders.append(jinja2.FileSystemLoader(search_path))\\n\\n class_loader.POSSIBLE_LOCATIONS.append('services.yurist.data_model.fields')\\n class_loader.POSSIBLE_LOCATIONS.append('services.yurist.data_model.enums')\\n class_loader.POSSIBLE_LOCATIONS.append('services.yurist.data_model.db_models')\"\n },\n {\n \"alpha_fraction\": 0.7474972009658813,\n \"alphanum_fraction\": 0.7486095428466797,\n \"avg_line_length\": 39.8636360168457,\n \"blob_id\": \"4a890b6f1a62b924ddc6247c6f409484f357ad95\",\n \"content_id\": \"bad2d7c2065b0f6a4a2182b2e734e6cc31519081\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 899,\n \"license_type\": \"no_license\",\n \"max_line_length\": 114,\n \"num_lines\": 22,\n \"path\": \"/app/services/yurist/data_model/fields.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom fw.documents.fields.complex_doc_fields import DocArrayField\\nfrom fw.documents.fields.doc_fields import document_model, BaseDocField\\nfrom fw.documents.fields.simple_doc_fields import DocMongoIdField, DocDateTimeField, DocBoolField, DocEnumField, \\\\\\n DocTextField\\nfrom services.yurist.data_model.enums import YuristBatchCheckStatus\\n\\n\\n@document_model\\nclass YuristBatchCheck(BaseDocField):\\n\\n id = DocMongoIdField(is_parse_from_api=False)\\n batch_id = DocTextField(is_parse_from_api=False)\\n\\n create_date = DocDateTimeField()\\n attached_files = DocArrayField(cls=u\\\"DocFileAttachField\\\")\\n typos_correction = DocBoolField(required=False, default=False)\\n\\n status = DocEnumField(enum_cls=\\\"YuristBatchCheckStatus\\\", required=True, is_parse_from_api=False,\\n default=YuristBatchCheckStatus.YBS_NEW)\\n\\n __api_to_db_mapping__ = {'id': '_id'}\\n\"\n },\n {\n \"alpha_fraction\": 0.46767565608024597,\n \"alphanum_fraction\": 0.4915536642074585,\n \"avg_line_length\": 49.17869567871094,\n \"blob_id\": \"a177f41236917598422b3577a12dc1cb24fa787f\",\n \"content_id\": \"b4fc764c1f0f9d49ca122fb47d59ad33a471da10\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 89496,\n \"license_type\": \"no_license\",\n \"max_line_length\": 207,\n \"num_lines\": 1746,\n \"path\": \"/jb_tests/test_pack/test_osago.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime, timedelta\\n\\nfrom flask import json\\nfrom fw.catalogs.models import BikCatalog\\n\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.db_fields import DocumentBatchDbObject, BatchDocumentDbObject\\nfrom fw.documents.doc_requisites_storage import DocRequisitiesStorage\\nfrom fw.documents.enums import DocumentBatchTypeEnum, DocumentTypeEnum\\nfrom fw.documents.schema.schema_transform import transform_with_schema\\nfrom services.osago.documents.enums import OsagoDocTypeEnum, PretensionResultEnum, InsuranceLawsuitEnum, \\\\\\n OsagoRefusalReasonEnum\\nfrom services.pay.models import PayInfoObject, PurchaseServiceType\\nfrom test_api import authorized\\nfrom test_pack.base_batch_test import BaseBatchTestCase\\n\\n\\nclass OsagoTestCase(BaseBatchTestCase):\\n\\n @authorized()\\n def test_docs_claim(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_DOCUMENTS_CLAIM]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n victim_car_owner = self.create_person(self.user, batch.id, phone=\\\"\\\")\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22, phone=\\\"\\\")\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': True,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'responsible_person': responsible_person.id + '_person',\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n #OsagoDocTypeEnum.ODT_INSURANCE_DENIAL,\\n #OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE,\\n OsagoDocTypeEnum.ODT_POLICE_STATEMENT,\\n OsagoDocTypeEnum.ODT_POLICE_PROTOCOL,\\n OsagoDocTypeEnum.ODT_CASE_INITIATION_REFUSAL],\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'police_case': True,\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 10000,\\n 'problem_type': 'refusal',\\n \\\"submission_way\\\": \\\"responsible_person\\\",\\n 'obtain_way': 'responsible_person',\\n 'own_insurance_company': True,\\n 'obtain_address_type': 'responsible_person_address',\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_DOCUMENTS_CLAIM])\\n })\\n self.assertEqual(result.status_code, 200)\\n doc = BatchDocumentDbObject.query.filter().scalar()\\n print (json.dumps(doc.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n @authorized()\\n def test_pretesion(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_PRETENSION]\\n\\n with self.app.app_context():\\n assurance = self.addCarAssurance(u\\\"РЕСО-ГАРАНТИЯ\\\")\\n assurance_branch = self.addCarAssuranceBranch(assurance=assurance)\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n\\n batch_payment = PayInfoObject(\\n user=self.user,\\n batch=batch,\\n pay_record_id=0,\\n payment_provider=1,\\n service_type=PurchaseServiceType.OSAGO_PART1\\n )\\n sqldb.session.add(batch_payment)\\n sqldb.session.commit()\\n\\n victim_car_owner = self.create_person(self.user, batch.id, phone=\\\"345345\\\")\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22, phone=\\\"1231313\\\")\\n victim_driver = self.create_person(self.user, batch.id, name=u\\\"Полина\\\",\\n surname=u\\\"Ступицина\\\", patronymic=u\\\"Араровна\\\", age=18, phone=\\\"1231313\\\")\\n guilty_driver = self.create_person(self.user, batch.id, name=u\\\"Прохор\\\",\\n surname=u\\\"Иванов\\\", patronymic=u\\\"Иванович\\\", age=88, phone=\\\"123123\\\")\\n guilty_owner = self.create_person(self.user, batch.id, name=u\\\"Бобр\\\",\\n surname=u\\\"Лесной\\\", age=31, phone=\\\"123123\\\")\\n\\n bik = BikCatalog(\\n id=\\\"040173745\\\",\\n name=u\\\"банк\\\",\\n okpo=\\\"12323\\\",\\n bik=\\\"040173745\\\",\\n phone=\\\"\\\",\\n address=\\\"\\\",\\n kor_account='2342342'\\n )\\n sqldb.session.add(bik)\\n sqldb.session.commit()\\n\\n ppid = lambda x: x.id + '_person'\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'victim_owner': ppid(victim_car_owner),\\n 'got_cash': True,\\n 'have_osago': 'victim',\\n 'obtain_way': 'responsible_person',\\n 'other_date': False,\\n 'responsible_person': ppid(responsible_person),\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'obtain_address_type': 'responsible_person_address',\\n 'owner_as_victim_driver': True,\\n 'use_other_submission_address': False,\\n 'other_insurance': True,\\n 'victim_driver': ppid(victim_driver),\\n 'guilty_driver': ppid(guilty_driver),\\n 'guilty_car_brand': u'Белаз',\\n 'guilty_car_number': u'М100Е50',\\n 'policy_series': u'ССС',\\n 'policy_number': u'123456789',\\n 'problem_type': 'underpay',\\n 'compensation_sum': 1111.1,\\n 'bik_account': u'040173745',\\n 'account_number': u'12345678901234567890',\\n 'independent_expertise_number': u'1111111',\\n 'independent_expertise_sum': '0',\\n 'independent_expertise_cost': '0',\\n 'guilty_owner': ppid(guilty_owner),\\n 'submission_branch_id': assurance_branch.id,\\n \\\"submission_way\\\": \\\"oneself\\\",\\n #'submission_branch_id': \\\"\\\",\\n 'insurance_company_region': u\\\"Санкт-Петербург\\\",\\n 'owner_as_guilty_driver': False,\\n #'submission_address': u'Какой-то адрес',\\n 'obtain_address': u\\\"Обтейн адрес\\\",\\n 'insurance_name': u\\\"Суперстраховая №1\\\",\\n 'police_case': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'own_insurance_company': True,\\n 'add_person_to_claim': True,\\n 'first_claim_date': datetime.utcnow().strftime(\\\"%Y-%m-%d\\\"),\\n 'court_include': False\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_PRETENSION])\\n })\\n self.assertEqual(result.status_code, 200)\\n doc = BatchDocumentDbObject.query.filter().scalar()\\n print (json.dumps(doc.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n @authorized()\\n def test_mail_list(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_MAIL_LIST]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status='pretension')\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'other_insurance': True,\\n 'insurance_name': u'ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ РОССИЙСКАЯ ГОСУДАРСТВЕННАЯ КОМПАНИЯ ПО ОЧИСТКЕ СТОЧНЫХ ВОД',\\n 'use_other_submission_address': True,\\n 'submission_address': u\\\"197342, Санкт-Петербург, Ушаковская наб., д. 5\\\",\\n 'submission_way': \\\"mail\\\",\\n 'docs_got': [\\n OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_INSURANCE_DENIAL,\\n OsagoDocTypeEnum.ODT_POLICE_STATEMENT,\\n OsagoDocTypeEnum.ODT_POLICE_PROTOCOL\\n ],\\n 'policy_called': True,\\n 'court_include': True\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_MAIL_LIST])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_trust_submission_docs(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_TRUST_SUBMISSION_DOCS]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n victim_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'responsible_person': responsible_person.id + '_person',\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"submission_way\\\": \\\"responsible_person\\\",\\n 'obtain_way': 'mail',\\n 'insurance_name': u'ООО ААА ОАО АОА',\\n 'court_include': True\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_TRUST_SUBMISSION_DOCS])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_trust_obtain_docs(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_TRUST_OBTAIN_DOCS]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n victim_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'responsible_person': responsible_person.id + '_person',\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"submission_way\\\": \\\"mail\\\",\\n 'obtain_way': 'responsible_person',\\n 'insurance_name': u'ООО ААА ОАО АОА'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_TRUST_OBTAIN_DOCS])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_trust_submission_and_obtain_docs(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_TRUST_SUBMISION_OBTAIN_DOCS]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n victim_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Ивановна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'responsible_person': responsible_person.id + '_person',\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"submission_way\\\": \\\"responsible_person\\\",\\n 'obtain_way': 'responsible_person',\\n 'insurance_name': u'ООО ААА ОАО АОА',\\n 'court_include': True\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_TRUST_SUBMISION_OBTAIN_DOCS])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_find_osago_policy_on_id_change(self):\\n with self.app.app_context():\\n assurance = self.addCarAssurance(u\\\"РЕСО-ГАРАНТИЯ\\\")\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_MAIL_LIST]\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_series': u'ААА',\\n 'policy_number': '123111'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n self.assertEqual(result.status_code, 200)\\n data = json.loads(result.data)\\n del data['result']['creation_date']\\n del data['result']['id']\\n del data['result']['name']\\n self.assertEqual(data, {\\n u'result': {\\n u'all_docs': [],\\n u'batch_type': u'osago',\\n u'data': {u'policy_number': u'123111',\\n u'policy_series': u'ААА'},\\n u'metadata': {},\\n u'paid': u'false',\\n u'result_fields': {\\n u'insurance_id': assurance.id,\\n u'insurance_name': assurance.full_name,\\n u'policy_date': u'2013-10-20',\\n u'region_prepositional': u'',\\n u'responsible_person_dative': u'',\\n u'underpay_sum': u'50000',\\n u'above_limits_sum': u'50000'\\n },\\n u'status': u'pretension',\\n u'status_data': {u'finalisation_count': u'0'}}\\n })\\n batch = DocumentBatchDbObject.query.filter_by(id=batch.id).scalar()\\n self.assertEqual(batch.result_fields, {\\n u'insurance_id': assurance.id,\\n u'insurance_name': assurance.full_name,\\n u'policy_date': u\\\"2013-10-20\\\",\\n u'region_prepositional': u'',\\n u'responsible_person_dative': u'',\\n u'underpay_sum': u'50000',\\n u'above_limits_sum': u'50000'\\n })\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'insurance_name': u'CCC',\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_underpay_sum(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_MAIL_LIST]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status='pretension')\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': True,\\n 'crash_date': datetime.utcnow().strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 500000,\\n 'problem_type': 'refusal',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'400000')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': False,\\n 'crash_date': datetime.utcnow().strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 100500,\\n 'problem_type': 'refusal',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'50000')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': True,\\n 'crash_date': datetime.utcnow().strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 100500,\\n 'problem_type': 'underpay',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'100400')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': False,\\n 'crash_date': datetime.utcnow().strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 100500,\\n 'problem_type': 'underpay',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'49900')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': True,\\n 'crash_date': datetime(2013, 1, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 300000,\\n 'problem_type': 'refusal',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'120000')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': False,\\n 'crash_date': datetime(2013, 1, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 100500,\\n 'problem_type': 'refusal',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'25000')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': True,\\n 'crash_date': datetime(2013, 1, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 10500,\\n 'problem_type': 'underpay',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'10400')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': False,\\n 'crash_date': datetime(2013, 1, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 100500,\\n 'problem_type': 'underpay',\\n 'compensation_sum': 100\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['underpay_sum'], u'24900')\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'policy_called': True,\\n 'policy_case': False,\\n 'crash_date': datetime(2014, 10, 2).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_sum': 120001,\\n 'independent_expertise_cost': 1000,\\n 'problem_type': 'underpay',\\n 'compensation_sum': 2222227\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.result_fields['above_limits_sum'], u'0')\\n\\n @authorized()\\n def test_go_ahead_in_pretesion(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id, name=u\\\"ЖЖ\\\", surname=u\\\"ЖЖ\\\", patronymic=u\\\"ЖЖ\\\")\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': True,\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': '222000.50',\\n 'independent_expertise_cost': 1000,\\n 'compensation_sum': 1000.9,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_BANK_STATEMENT],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'oneself',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789',\\n 'police_case': True\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 3)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"claim\\\")\\n\\n @authorized()\\n def test_go_ahead_in_pretesion_wrong_data(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id)\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': True,\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 2)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).scalar()\\n self.assertEqual(db_batch.status, \\\"pretension\\\")\\n self.assertEqual(db_batch.error_info, {\\n u'error_ext': [{u'error_code': 5, u'field': u'obtain_address'}]\\n })\\n\\n @authorized()\\n def test_go_ahead_in_generating_pretension(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"generating_pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id)\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n doc = self.create_document(DocumentTypeEnum.DT_OSAGO_PRETENSION, batch, data={})\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': True,\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 1)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 0)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"generating_pretension\\\")\\n\\n @authorized()\\n def test_update_in_claim(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id)\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': True,\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 0)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 3)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"claim\\\")\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': False,\\n 'all_have_osago': False,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес2',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"claim\\\")\\n\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter(\\n BatchDocumentDbObject.status==\\\"rendered\\\",\\n BatchDocumentDbObject.file_id!=None\\n ).count(), 3)\\n\\n @authorized()\\n def test_update_in_generating_pretension(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id)\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': True,\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 3)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"claim\\\")\\n\\n DocumentBatchDbObject.query.filter_by(id=batch.id).update({\\n 'status': 'generating_pretension'\\n })\\n sqldb.session.commit()\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': False,\\n 'all_have_osago': False,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес2',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"generating_pretension\\\")\\n\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter(\\n BatchDocumentDbObject.status==\\\"rendered\\\",\\n BatchDocumentDbObject.file_id!=None\\n ).count(), 3)\\n\\n @authorized()\\n def test_go_back_in_claim(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id)\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'policy_called': True,\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'problem_type': 'refusal',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': 1500000,\\n 'independent_expertise_cost': 200000,\\n 'compensation_sum': 0,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 3)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"claim\\\")\\n\\n result = self.test_client.post('/batch/go_back/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 0)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"pretension\\\")\\n\\n @authorized()\\n def test_result_fields_3_4_stage(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"pretension\\\")\\n victim_car_owner = self.create_person(self.user, batch.id, name=u\\\"виктим\\\", surname=u\\\"пострадашко\\\", patronymic=u\\\"потерпешевич\\\")\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'refusal_reason': 'wrong_docs',\\n 'notice_has_mistakes': False,\\n 'got_cash': False,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'other_date': True,\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_sum': '10.0',\\n 'independent_expertise_cost': 1000,\\n 'add_person_to_claim': True,\\n 'docs_got': [OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_way': 'responsible_person',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'court_include': True,\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789',\\n 'police_case': True,\\n\\n 'policy_called': True,\\n 'problem_type': 'refusal',\\n 'policy_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'compensation_sum': 1000.9,\\n\\n 'lawsuit_date': datetime(2014, 5, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'first_claim_date': datetime(2014, 1, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'compensation_date': datetime(2015, 1, 1).strftime(\\\"%Y-%m-%d\\\"),\\n 'compensation_got': \\\"9.0\\\"\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n # формула для проверки: (0.01 * underpay_sum * ((lawsuit_date if lawsuit_date else datetime.now()) - first_claim_date - timedelta(days=20)).days)\\n # if compensation_got is None\\n # else (0.01 * underpay_sum * ((compensation_date if compensation_date else datetime.today()) - first_claim_date - timedelta(days=20)).days +\\n # 0.01 * (underpay_sum - compensation_got) * ((lawsuit_date if lawsuit_date else datetime.today()) - compensation_date if compensation_date else datetime.today()).days)\\n\\n self.assertEqual(db_batch.result_fields, {\\n u'above_limits_sum': u'0',\\n u'attached_to_lawsuit_docs': [u'case_init_refusal', u'expertise_report'],\\n u'insufficient_docs': [u'police_protocol', u'act_insurance_case'],\\n u'insurance_penalty': u'50',\\n u'lawsuit_cost': u'500000.5',\\n u'legal_fee': u'1000.5',\\n u'limits_sum': u'400000',\\n u'region': u'Санкт-Петербург',\\n u'region_prepositional': u'Санкт-Петербург',\\n u'responsible_person_dative': u'Поганкина Арина Мстиславовна',\\n u'underpay_sum': u'10.0'\\n })\\n\\n @authorized()\\n def test_trust_court(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_TRUST_COURT_REPRESENTATION]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n victim_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Ивановна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": { # todo: add fields\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'lawsuit_submission_responsible_person': responsible_person.id + '_person',\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"submission_way\\\": \\\"responsible_person\\\",\\n 'obtain_way': 'responsible_person',\\n 'insurance_name': u'ООО ААА ОАО АОА',\\n 'court_include': True\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_TRUST_COURT_REPRESENTATION])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_trust_court_absence_claim(self):\\n DocRequisitiesStorage._BATCH_DESCRIPTORS[DocumentBatchTypeEnum.DBT_OSAGO]['doc_types'] = [DocumentTypeEnum.DT_OSAGO_CLAIM_COURT_ABSENT]\\n\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user)\\n victim_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Ивановна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'lawsuit_submission_responsible_person': responsible_person.id + '_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"submission_way\\\": \\\"responsible_person\\\",\\n 'obtain_way': 'responsible_person',\\n 'insurance_name': u'ООО ААА ОАО АОА',\\n 'court_include': True,\\n 'first_claim_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"court_name\\\": u'Наш суд, самый гуманный суд в мире',\\n \\\"court_address\\\": u'Планета Обезьян',\\n \\\"add_person_to_claim\\\": True,\\n 'lawsuit_submission_way': 'oneself'\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/render_document/', data={\\n 'batch_id': batch.id,\\n 'document_type': json.dumps([DocumentTypeEnum.DT_OSAGO_CLAIM_COURT_ABSENT])\\n })\\n self.assertEqual(result.status_code, 200)\\n\\n @authorized()\\n def test_go_ahead_in_claim(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"claim\\\")\\n\\n batch_payment = PayInfoObject(\\n user=self.user,\\n batch=batch,\\n pay_record_id=0,\\n payment_provider=1,\\n service_type=PurchaseServiceType.OSAGO_PART1\\n )\\n sqldb.session.add(batch_payment)\\n batch_payment = PayInfoObject(\\n user=self.user,\\n batch=batch,\\n pay_record_id=1,\\n payment_provider=1,\\n service_type=PurchaseServiceType.OSAGO_PART2\\n )\\n sqldb.session.add(batch_payment)\\n sqldb.session.commit()\\n\\n victim_car_owner = self.create_person(self.user, batch.id, name=u\\\"ЖЖ\\\", surname=u\\\"ЖЖ\\\", patronymic=u\\\"ЖЖ\\\")\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'notice_has_mistakes': False,\\n 'got_cash': True,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'first_claim_date': (datetime(2014,5,1) - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_cost': 1000,\\n 'add_person_to_claim': True,\\n 'docs_got': [\\n OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n OsagoDocTypeEnum.ODT_INSURANCE_DENIAL,\\n ],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789',\\n 'police_case': False,\\n 'refusal_reason': OsagoRefusalReasonEnum.ORR_WRONG_DOCS,\\n\\n 'court_name': u\\\"Наименование суда\\\",\\n 'court_address': u'Адрес суда',\\n 'lawsuit_submission_way': 'mail',\\n\\n 'court_include': True,\\n 'submission_way': 'responsible_person',\\n\\n 'lawsuit_submission_responsible_person': responsible_person.id + '_person',\\n\\n # --------------------------------------------------------------------------------------------------\\n 'policy_called': True, # gibdd/euro\\n 'other_date': True,\\n 'policy_date': \\\"2015-01-01\\\",\\n\\n 'independent_expertise_sum': '500000',\\n\\n 'problem_type': 'refusal',\\n 'compensation_sum': 10000, # до претензии\\n \\\"pretension_result\\\": \\\"success\\\",\\n \\\"compensation_got\\\": 5000, # после претензии\\n\\n # --------------------------------------------------------------------------------------------------\\n \\\"compensation_date\\\": (datetime.utcnow() - timedelta(days=50)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"insurance_returned_docs\\\": [\\n OsagoDocTypeEnum.ODT_POLICE_PROTOCOL,\\n OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE,\\n OsagoDocTypeEnum.ODT_POLICE_STATEMENT,\\n OsagoDocTypeEnum.ODT_CASE_INITIATION_REFUSAL\\n ],\\n \\\"pretension_answer_got\\\": True,\\n \\\"lawsuit_date\\\": (datetime.utcnow() - timedelta(days=20)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"make_lawsuit\\\": True,\\n \\\"insurance_lawsuit\\\": [\\n InsuranceLawsuitEnum.ILS_EXPERTISE_COST,\\n InsuranceLawsuitEnum.ILS_FINE,\\n InsuranceLawsuitEnum.ILS_PENALTY,\\n InsuranceLawsuitEnum.ILS_UNDERPAY\\n ],\\n \\\"notary_costs\\\": 100000.12,\\n \\\"moral_damages\\\": 2000000.34,\\n 'court_attendance': 'responsible_person',\\n \\\"attached_to_lawsuit_docs_pagecount\\\": [\\n {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_INSURANCE_DENIAL,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_POLICE_STATEMENT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_POLICE_PROTOCOL,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_CASE_INITIATION_REFUSAL,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_EXPERTISE_REPORT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_EXPERTISE_CONTRACT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_PRETENSION_ANSWER_COPY,\\n \\\"pagecount\\\": 123\\n },{\\n \\\"page\\\": OsagoDocTypeEnum.ODT_NOTARY_PAY_ACT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_POLICY_OSAGO,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_BANK_STATEMENT,\\n \\\"pagecount\\\": 321\\n }]\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 3)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"court\\\")\\n\\n def test_fields_order(self):\\n field_values = {\\n 'a': 'a',\\n 'b': 'b'\\n }\\n schema = {\\n 'fields': [{\\n 'name': 'd',\\n 'field_type': 'DocTextField',\\n 'type': 'calculated',\\n 'depends_on': ['b', 'c'],\\n 'value': {\\n '#sum': [{\\n '#field': 'b'\\n }, {\\n \\\"#value\\\": \\\" + \\\"\\n }, {\\n '#field': 'c'\\n }]\\n }\\n }, {\\n 'name': 'e',\\n 'field_type': 'DocTextField',\\n 'type': 'calculated',\\n 'depends_on': ['a', 'd'],\\n 'value': {\\n '#sum': [{\\n '#field': 'a'\\n }, {\\n \\\"#value\\\": \\\" + \\\"\\n }, {\\n '#field': 'd'\\n }]\\n }\\n }, {\\n 'name': 'f',\\n 'field_type': 'DocTextField',\\n 'type': 'calculated',\\n 'depends_on': ['b'],\\n 'value': {\\n '#field': 'b'\\n }\\n }, {\\n 'name': 'a',\\n 'type': 'DocTextField'\\n }, {\\n 'name': 'c',\\n 'field_type': 'DocTextField',\\n 'type': 'calculated',\\n 'depends_on': ['a'],\\n 'value': {\\n '#field': 'a'\\n }\\n }, {\\n 'name': 'b',\\n 'type': 'DocTextField'\\n }]\\n }\\n\\n result = transform_with_schema(field_values, schema)\\n for i in result:\\n print(i + '=' + result[i].db_value())\\n\\n @authorized()\\n def test_go_ahead_in_court(self):\\n with self.app.app_context():\\n batch = self.create_batch(DocumentBatchTypeEnum.DBT_OSAGO, self.user, status=\\\"court\\\")\\n victim_car_owner = self.create_person(self.user, batch.id, name=u\\\"ЖЖ\\\", surname=u\\\"ЖЖ\\\", patronymic=u\\\"ЖЖ\\\")\\n guilty_car_owner = self.create_person(self.user, batch.id)\\n responsible_person = self.create_person(self.user, batch.id, name=u\\\"Арина\\\",\\n surname=u\\\"Поганкина\\\", patronymic=u\\\"Мстиславовна\\\", age=22)\\n\\n batch_json = json.dumps({\\n \\\"data\\\": {\\n 'crash_date': (datetime.utcnow() - timedelta(days=100)).strftime(\\\"%Y-%m-%d\\\"),\\n 'all_have_osago': True,\\n 'own_insurance_company': True,\\n 'have_osago': 'both',\\n 'notice_has_mistakes': False,\\n 'got_cash': True,\\n 'victim_owner': victim_car_owner.id + \\\"_person\\\",\\n 'owner_as_victim_driver': True,\\n 'victim_car_brand': u\\\"Форд Фокус в кредит\\\",\\n 'victim_car_number': u\\\"А000ОО98\\\",\\n 'guilty_owner': guilty_car_owner.id + \\\"_person\\\",\\n 'owner_as_guilty_driver': True,\\n 'guilty_car_brand': u'Рено',\\n 'guilty_car_number': u'В000ВВ50',\\n 'other_victims': None,\\n 'insurance_company_region': u'Санкт-Петербург',\\n 'policy_series': u'ААА',\\n 'policy_number': '0123456789',\\n 'other_insurance': True,\\n 'insurance_name': u\\\"РоСгосСтраХ\\\",\\n 'insurance_id': None,\\n 'first_claim_date': (datetime(2014,5,1) - timedelta(days=90)).strftime(\\\"%Y-%m-%d\\\"),\\n 'independent_expertise_number': u'01234567890123456789',\\n 'independent_expertise_cost': 1000,\\n 'add_person_to_claim': True,\\n 'docs_got': [\\n OsagoDocTypeEnum.ODT_INQUIRE_CRASH\\n ],\\n 'insurance_case_number': '01234567890123456789',\\n 'submission_branch_id': '',\\n 'use_other_submission_address': True,\\n 'submission_address': u'сабмишн адрес',\\n 'obtain_way': 'responsible_person',\\n 'responsible_person': responsible_person.id + '_person',\\n 'obtain_address_type': 'other_address',\\n 'obtain_address': 'аптейн адрес',\\n 'bik_account': '012345678',\\n 'account_number': '01234567890123456789',\\n 'police_case': False,\\n 'refusal_reason': OsagoRefusalReasonEnum.ORR_WRONG_DOCS,\\n\\n 'court_name': u\\\"Наименование суда\\\",\\n 'court_address': u'Адрес суда',\\n 'lawsuit_submission_way': 'oneself',\\n\\n 'court_include': True,\\n 'submission_way': 'responsible_person',\\n\\n 'lawsuit_submission_responsible_person': responsible_person.id + '_person',\\n 'lawsuit_number': '1234567890',\\n\\n # --------------------------------------------------------------------------------------------------\\n 'policy_called': True, # gibdd/euro\\n 'other_date': True,\\n 'policy_date': \\\"2013-01-01\\\",\\n\\n 'independent_expertise_sum': '1200000',\\n\\n 'problem_type': 'refusal',\\n 'compensation_sum': 10000, # до претензии\\n \\\"pretension_result\\\": \\\"refuse\\\",\\n \\\"compensation_got\\\": 10000, # после претензии\\n\\n # --------------------------------------------------------------------------------------------------\\n \\\"compensation_date\\\": (datetime.utcnow() - timedelta(days=20)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"insurance_returned_docs\\\": [OsagoDocTypeEnum.ODT_POLICE_PROTOCOL],\\n \\\"pretension_answer_got\\\": True,\\n \\\"lawsuit_date\\\": (datetime.utcnow() - timedelta(days=50)).strftime(\\\"%Y-%m-%d\\\"),\\n \\\"make_lawsuit\\\": True,\\n \\\"insurance_lawsuit\\\": [\\n InsuranceLawsuitEnum.ILS_EXPERTISE_COST,\\n InsuranceLawsuitEnum.ILS_FINE,\\n InsuranceLawsuitEnum.ILS_PENALTY,\\n InsuranceLawsuitEnum.ILS_UNDERPAY\\n ],\\n \\\"notary_costs\\\": 100000.12,\\n \\\"moral_damages\\\": 2000000.34,\\n 'court_attendance': 'responsible_person',\\n\\n 'insurance_execution_act_responsible_person': True,\\n 'insurance_execution_act_obtain_way': 'no_obtain',\\n\\n 'guilty_execution_act_responsible_person': False,\\n 'guilty_execution_act_obtain_way': 'no_obtain',\\n\\n \\\"attached_to_lawsuit_docs_pagecount\\\": [\\n {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_INQUIRE_CRASH,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_NOTICE_CRASH,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_ACT_INSURANCE_CASE,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_INSURANCE_DENIAL,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_POLICE_STATEMENT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_POLICE_PROTOCOL,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_CASE_INITIATION_REFUSAL,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_EXPERTISE_REPORT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_EXPERTISE_CONTRACT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_PRETENSION_ANSWER_COPY,\\n \\\"pagecount\\\": 123\\n },{\\n \\\"page\\\": OsagoDocTypeEnum.ODT_NOTARY_PAY_ACT,\\n \\\"pagecount\\\": 123\\n }, {\\n \\\"page\\\": OsagoDocTypeEnum.ODT_POLICY_OSAGO,\\n \\\"pagecount\\\": 123\\n }]\\n }\\n })\\n result = self.test_client.post('/batch/update/', data={\\n 'batch_id': batch.id,\\n 'batch': batch_json\\n })\\n\\n self.assertEqual(result.status_code, 200)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n print (json.dumps(db_batch.__dict__, indent=1, default=lambda x: unicode(x), ensure_ascii=False))\\n\\n result = self.test_client.post('/batch/go_ahead/', data={\\n 'batch_id': batch.id,\\n })\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(BatchDocumentDbObject.query.count(), 3)\\n self.assertEqual(BatchDocumentDbObject.query.filter_by(status=\\\"rendered\\\").count(), 3)\\n db_batch = DocumentBatchDbObject.query.filter_by(id=batch.id).first()\\n self.assertEqual(db_batch.status, \\\"court\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.5278001427650452,\n \"alphanum_fraction\": 0.5350523591041565,\n \"avg_line_length\": 30.024999618530273,\n \"blob_id\": \"6f53322b604d3798ebc4146027d161fe8d8f2496\",\n \"content_id\": \"fbc3a4d4c22e3e5c79cdc968b7928cd9db47dbfd\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1241,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 40,\n \"path\": \"/app/common_utils/perf.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport StringIO\\nimport cProfile\\nimport pstats\\nfrom time import time\\n\\nclass TimeCalculator(object):\\n\\n def __init__(self, name, logger = None, use_profile = False, min_time = None):\\n self.logger = logger\\n self.t1 = None\\n self.t2 = None\\n self.name = name\\n self.use_profile = use_profile\\n self.min_time = min_time\\n if self.use_profile:\\n self.pr = cProfile.Profile()\\n\\n def __enter__(self):\\n self.t1 = time()\\n if self.use_profile:\\n self.pr.enable(builtins=False)\\n return self\\n\\n def __exit__(self, exc_type, exc_val, exc_tb):\\n self.t2 = time()\\n if self.use_profile:\\n self.pr.disable()\\n if self.min_time is not None and (self.t2 - self.t1) < self.min_time:\\n return\\n if self.use_profile:\\n if self.logger:\\n s = StringIO.StringIO()\\n sortby = 'cumulative'\\n ps = pstats.Stats(self.pr, stream=s).sort_stats(sortby)\\n ps.print_stats()\\n self.logger.debug(s.getvalue())\\n else:\\n if self.logger:\\n self.logger.debug(\\\"%s: %s\\\" % (self.name, unicode(self.t2 - self.t1)))\\n\"\n },\n {\n \"alpha_fraction\": 0.6484710574150085,\n \"alphanum_fraction\": 0.7035633325576782,\n \"avg_line_length\": 36.32075500488281,\n \"blob_id\": \"93bf8bac317c7f3a060d107487864b9c9f85bab3\",\n \"content_id\": \"c1f22ff032afb79c36dfaec8fb6fa60e59192bc8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3957,\n \"license_type\": \"no_license\",\n \"max_line_length\": 98,\n \"num_lines\": 106,\n \"path\": \"/app/services/pay/models.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom sqlalchemy.orm import relationship\\n\\nfrom sqlalchemy.sql.functions import func\\nfrom sqlalchemy import Column, Unicode, DateTime, Integer, ForeignKey, DECIMAL, BigInteger, String\\nfrom sqlalchemy.dialects.postgresql import JSONB\\n\\nfrom fw.db.sql_base import db as sqldb\\n\\n\\nclass PaymentProvider(object):\\n YAD = 1\\n\\n\\nclass PurchaseServiceType(object):\\n LLC_PURCHASE = \\\"llc_purchase\\\"\\n LLC_AUTO_PURCHASE = \\\"llc_auto_purchase\\\"\\n\\n IP_PURCHASE = \\\"ip_purchase\\\"\\n IP_AUTO_PURCHASE = \\\"ip_auto_purchase\\\"\\n\\n OSAGO_PART1 = \\\"osago_part1\\\"\\n OSAGO_PART2 = \\\"osago_part2\\\"\\n\\n\\nclass PaymentSubscriptionObject(sqldb.Model):\\n __tablename__ = \\\"payment_subscription\\\"\\n\\n id = Column(Integer, primary_key=True)\\n pay_info = Column(JSONB, nullable=False)\\n created = Column(DateTime, nullable=False, default=func.now())\\n end_dt = Column(DateTime, nullable=False)\\n type = Column(Unicode, nullable=False)\\n user_id = Column(Integer, ForeignKey('authuser.id'), index=True)\\n user = relationship(\\\"AuthUser\\\", uselist=False)\\n\\n pay_record_id = Column(Integer, nullable=False)\\n payment_provider = Column(Integer, nullable=False)\\n\\n\\nclass YadRequestsObject(sqldb.Model):\\n __tablename__ = \\\"yad_requests\\\"\\n\\n id = Column(Integer, primary_key=True)\\n\\n ip = Column(Unicode, nullable=False)\\n created = Column(DateTime, nullable=False, default=func.now())\\n request_datetime = Column(DateTime, nullable=False)\\n md5 = Column(Unicode, nullable=False)\\n shop_id = Column(BigInteger, nullable=False)\\n shop_article_id = Column(BigInteger, nullable=False)\\n invoice_id = Column(BigInteger, nullable=False, index=True)\\n order_number = Column(Unicode, nullable=False, index=True)\\n customer_number = Column(Unicode, nullable=False, index=True)\\n order_created_datetime = Column(DateTime, nullable=False)\\n order_sum_amount = Column(DECIMAL, nullable=False)\\n order_sum_currency_paycash = Column(Unicode, nullable=False)\\n order_sum_bank_paycash = Column(Unicode, nullable=False)\\n shop_sum_amount = Column(DECIMAL, nullable=False)\\n shop_sum_currency_paycash = Column(Unicode, nullable=False)\\n shop_sum_bank_paycash = Column(Unicode, nullable=False)\\n payment_payer_code = Column(Unicode, nullable=False)\\n payment_type = Column(Unicode, nullable=False)\\n action = Column(Unicode, nullable=False)\\n payment_datetime = Column(DateTime, nullable=True)\\n cps_user_country_code = Column(Unicode, nullable=True)\\n\\n# \\\"_id\\\" : ObjectId(\\\"5502f094e64bcf076f79bc87\\\"),\\n# \\\"ip\\\" : \\\"77.75.157.170\\\",\\n# \\\"cps_user_country_code\\\" : \\\"RU\\\",\\n# \\\"request_datetime\\\" : \\\"2015-03-13T17:14:08.976+03:00\\\",\\n# \\\"shop_id\\\" : \\\"29372\\\",\\n# \\\"shop_sum_currency_paycash\\\" : \\\"10643\\\",\\n# \\\"order_sum_currency_paycash\\\" : \\\"10643\\\",\\n# \\\"order_created_datetime\\\" : \\\"2015-03-13T17:14:07.860+03:00\\\",\\n# \\\"shop_sum_amount\\\" : \\\"434.25\\\",\\n# \\\"order_sum_bank_paycash\\\" : \\\"1003\\\",\\n# \\\"shop_article_id\\\" : \\\"139366\\\",\\n# \\\"payment_datetime\\\" : \\\"2015-03-13T17:14:08.795+03:00\\\",\\n# \\\"md5\\\" : \\\"5411413BADFD93ECF8BD3F7D4DF24CD6\\\",\\n# \\\"shop_sum_bank_paycash\\\" : \\\"1003\\\",\\n# \\\"order_sum_amount\\\" : \\\"450.00\\\",\\n# \\\"payment_payer_code\\\" : \\\"4100322062290\\\",\\n# \\\"created\\\" : ISODate(\\\"2015-03-13T14:13:40.197Z\\\"),\\n# \\\"invoice_id\\\" : \\\"2000000424994\\\",\\n# \\\"customer_number\\\" : \\\"5502efbde64bcf076f79bbcf\\\",\\n# \\\"payment_type\\\" : \\\"AC\\\",\\n# \\\"action\\\" : \\\"paymentAviso\\\",\\n# \\\"order_number\\\" : \\\"5502efc0e64bcf076f79bbd1\\\"\\n\\n\\nclass PayInfoObject(sqldb.Model):\\n __tablename__ = \\\"pay_info\\\"\\n\\n id = Column(Integer, primary_key=True)\\n user_id = Column(Integer, ForeignKey('authuser.id'), index=True)\\n user = relationship(\\\"AuthUser\\\", uselist=False)\\n\\n batch_id = Column(String, ForeignKey('doc_batch.id'), nullable=False)\\n batch = relationship(\\\"DocumentBatchDbObject\\\", uselist=False)\\n\\n pay_record_id = Column(Integer, index=True, nullable=False)\\n payment_provider = Column(Integer, nullable=False)\\n\\n dt = Column(DateTime, nullable=True, default=func.now())\\n service_type = Column(String, nullable=False)\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.4852820336818695,\n \"alphanum_fraction\": 0.4887354075908661,\n \"avg_line_length\": 34.561405181884766,\n \"blob_id\": \"5795a056155e9837f763fab45c26f1759d70122d\",\n \"content_id\": \"33edae351ca87c5b1b2dc76f42896632da0909c0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 12162,\n \"license_type\": \"no_license\",\n \"max_line_length\": 113,\n \"num_lines\": 342,\n \"path\": \"/app/manage_commands/periodic_commands.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom datetime import datetime, timedelta\\nimport json\\nimport requests\\nfrom data.get_all_ifns import ALL_IFNS_NUMBERS\\nfrom fw.db.sql_base import db as sqldb\\nfrom fw.documents.fields.general_doc_fields import DocAddressField\\nfrom fw.utils.address_utils import dadata_standardize_address\\nfrom manage_commands import BaseManageCommand\\nfrom common_utils import int_to_ifns\\nfrom services.ifns.data_model.models import IfnsCatalogObject\\n\\n\\nclass UpdateIfnsCatalogInitCommand(BaseManageCommand):\\n NAME = \\\"update_ifns_catalog_init\\\"\\n\\n def run(self):\\n \\\"\\\"\\\"\\n Should be started once.\\n \\\"\\\"\\\"\\n\\n updated = datetime.now() - timedelta(days=365)\\n for ifns in ALL_IFNS_NUMBERS:\\n res = IfnsCatalogObject.query.filter_by(code=ifns).first()\\n if not res:\\n new_item = IfnsCatalogObject(code=ifns, updated=updated)\\n sqldb.session.add(new_item)\\n sqldb.session.commit()\\n\\n\\ndef get_phone_list(phone_str, logger):\\n phone_list_str = phone_str.split(',')\\n city_code = None\\n phones = []\\n phones_without_city_code = []\\n for phone_item in phone_list_str:\\n try:\\n phone_item = phone_item.strip()\\n phone_item = filter(lambda x: x.isdigit() or x in ('(', ')'), phone_item)\\n if '(' in phone_item and ')' in phone_item:\\n bracket_split_parts = phone_item.split('(')\\n\\n country_code, remaining = phone_item.split('(')\\n if country_code not in ('', '8', '+7', '+38'):\\n raise ValueError()\\n if not remaining:\\n raise ValueError()\\n city_code, number = remaining.split(')')\\n if not city_code or not number:\\n raise ValueError()\\n phones.append(u\\\"+7(%s)%s\\\" % (city_code, number))\\n else:\\n if len(phone_item) == 7:\\n phones_without_city_code.append(phone_item)\\n elif len(phone_item) == 11 and phone_item[0] == 8:\\n city_code = phone_item[1:4]\\n number = phone_item[4:]\\n phones.append(u\\\"+7(%s)%s\\\" % (city_code, number))\\n elif len(phone_item) == 12 and phone_item[0:2] == \\\"+7\\\":\\n city_code = phone_item[2:5]\\n number = phone_item[5:]\\n phones.append(u\\\"+7(%s)%s\\\" % (city_code, number))\\n elif len(phone_item) == 10:\\n city_code = phone_item[0:3]\\n number = phone_item[3:]\\n phones.append(u\\\"+7(%s)%s\\\" % (city_code, number))\\n\\n except Exception:\\n logger.exception(u\\\"Failed to parse number %s\\\" % phone_item)\\n\\n if city_code and phones_without_city_code:\\n for phone in phones_without_city_code:\\n phones.append(u\\\"+7(%s)%s\\\" % (city_code, phone))\\n return phones\\n\\n\\ndef str_address_to_struct(address):\\n source_address = address\\n address_json = dadata_standardize_address(address)\\n if not address_json:\\n return\\n address_field = DocAddressField()\\n address_json['address_string'] = address\\n fields_map = {\\n \\\"okato\\\": \\\"okato\\\",\\n \\\"tax_office\\\": \\\"ifns\\\",\\n \\\"qc_complete\\\": \\\"qc_complete\\\",\\n \\\"region\\\": \\\"region\\\",\\n \\\"postal_code\\\": \\\"index\\\",\\n \\\"city_type\\\": \\\"city_type\\\",\\n \\\"city\\\": \\\"city\\\",\\n \\\"area\\\": \\\"district\\\",\\n \\\"area_type\\\": \\\"district_type\\\",\\n \\\"flat\\\": \\\"flat\\\",\\n \\\"flat_type\\\": \\\"flat_type\\\",\\n \\\"house\\\": \\\"house\\\",\\n \\\"house_type\\\": \\\"house_type\\\",\\n \\\"settlement\\\": \\\"village\\\",\\n \\\"settlement_type\\\": \\\"village_type\\\",\\n \\\"street\\\": \\\"street\\\",\\n \\\"street_type\\\": \\\"street_type\\\",\\n \\\"result\\\": \\\"address_string\\\",\\n \\\"geo_lat\\\": \\\"coord_lat\\\",\\n \\\"geo_lon\\\": \\\"coord_long\\\",\\n \\\"block\\\": \\\"building\\\",\\n \\\"block_type\\\": \\\"building_type\\\",\\n \\\"qc\\\": \\\"qc\\\"\\n }\\n result_address = {}\\n for field_name in fields_map:\\n if field_name in address_json:\\n val = address_json[field_name]\\n if val is not None:\\n result_address[fields_map[field_name]] = val\\n\\n address_field.parse_raw_value(result_address)\\n address = address_field.db_value()\\n address['source_address'] = source_address\\n return address\\n\\n\\nclass UpdateIfnsCatalogCommand(BaseManageCommand):\\n NAME = \\\"update_ifns_catalog\\\"\\n\\n def run(self):\\n \\\"\\\"\\\"\\n Should be started every minute.\\n \\\"\\\"\\\"\\n\\n result = IfnsCatalogObject.query.filter(\\n IfnsCatalogObject.updated.__ne__(None)\\n ).order_by(IfnsCatalogObject.updated.asc()).first()\\n\\n if not result:\\n self.logger.error(u\\\"Failed to find ifns to update\\\")\\n return\\n\\n ifns_item = result\\n ifns = ifns_item.code\\n\\n self.logger.info(u\\\"Updating ifns %s\\\" % unicode(ifns))\\n\\n ifns_item.updated = datetime.utcnow()\\n sqldb.session.commit()\\n\\n s = requests.Session()\\n s.get('https://service.nalog.ru/addrno.do', timeout=5)\\n result = s.get('https://service.nalog.ru/addrno.do?l=6&g=%s' % int_to_ifns(ifns), timeout=5)\\n if result.status_code != 200:\\n self.logger.error(u\\\"Failed to get data for ifns %s\\\" % ifns)\\n return\\n\\n data = {}\\n try:\\n data = result.json()\\n res = data['res']\\n\\n required_fields = ('naimk', 'adres')\\n if any([field not in res for field in required_fields]):\\n if not ifns_item.naimk:\\n sqldb.session.delete(ifns_item)\\n sqldb.session.commit()\\n raise Exception(u\\\"Empty data\\\")\\n name = res['naimk']\\n address = res['adres']\\n old_address = ifns_item.address\\n\\n old_address_str = old_address['address_string'] if (\\n isinstance(old_address, dict) and 'address_string' in old_address) else old_address\\n\\n # if address != old_address_str or isinstance(old_address_str, basestring):\\n # address = str_address_to_struct(address)\\n\\n tel = get_phone_list(res['tel'], self.logger) if 'tel' in res else None\\n comment = res.get('coment', '')\\n\\n plat_src = res.get('plat', None)\\n plat = {}\\n if plat_src:\\n plat['recipient_name'] = plat_src['naimpol']\\n plat['recipient_kpp'] = plat_src['kpppol']\\n plat['recipient_inn'] = plat_src['innpol']\\n\\n if plat_src['found']:\\n plat['bik'] = plat_src['bik']\\n plat['bank_name'] = plat_src['naimbank']\\n plat['recipient_account'] = plat_src['schetpol']\\n\\n rou = {}\\n rou_src = res.get('rou', None)\\n\\n if rou_src:\\n rou['name'] = rou_src['naimk']\\n rou['code'] = rou_src['code']\\n if 'tel' in rou_src:\\n rou['tel'] = get_phone_list(rou_src['tel'], self.logger)\\n rou_addr = rou_src['adres']\\n rou['address_str'] = rou_addr\\n old_rou_addr_str = (ifns_item.rou or {}).get('address_str', \\\"\\\")\\n if rou_addr != old_rou_addr_str:\\n rou['address'] = str_address_to_struct(rou_addr)\\n else:\\n rou['address'] = (ifns_item.rou or {}).get('address', {})\\n\\n rof = {}\\n rof_src = res.get('rof', None)\\n\\n if rof_src:\\n rof['name'] = rof_src['naimk']\\n rof['code'] = rof_src['code']\\n if 'tel' in rof_src:\\n rof['tel'] = get_phone_list(rof_src['tel'], self.logger)\\n rof['address'] = rof_src['adres']\\n\\n new_fields = {\\n 'name': name,\\n 'address': address,\\n 'comment': comment\\n }\\n unset_fields = {}\\n if tel:\\n new_fields['tel'] = tel\\n else:\\n unset_fields['tel'] = \\\"\\\"\\n\\n if plat:\\n new_fields['plat'] = plat\\n else:\\n unset_fields['plat'] = \\\"\\\"\\n\\n if rou:\\n new_fields['rou'] = rou\\n else:\\n unset_fields['rou'] = \\\"\\\"\\n\\n if rof:\\n new_fields['rof'] = rof\\n else:\\n unset_fields['rof'] = \\\"\\\"\\n\\n # TODO:\\n # if not unset_fields:\\n # col.update({'code': ifns}, {'$set': new_fields})\\n # else:\\n # col.update({'code': ifns}, {'$set': new_fields, '$unset': unset_fields})\\n # self.logger.info(u\\\"ifns %s updated\\\" % str(ifns))\\n except Exception:\\n self.logger.exception(u\\\"Invalid data returned for ifns %s: \\\\r\\\\n %s\\\" %\\n (ifns, json.dumps(data, default=lambda x: unicode(x),\\n indent=1, ensure_ascii=False)))\\n return\\n\\n\\n# class ReloadBankInfo(BaseManageCommand):\\n# NAME = \\\"reload_bank_info\\\"\\n#\\n# def run(self):\\n# # TODO:\\n# file_path = get_single(u'csv file path: ')\\n# if not os.path.exists(file_path):\\n# self.logger.error(u\\\"File %s not found\\\" % file_path)\\n# return False\\n#\\n# col = self.db['bik_catalog']\\n#\\n# col.remove({})\\n#\\n# with open(file_path, 'r') as f:\\n# content = f.read()\\n#\\n# data = json.loads(content)\\n# for item in data:\\n# if 'NAMEP' not in item or 'NEWNUM' not in item:\\n# continue\\n#\\n# name = item['NAMEP']\\n# bik = item['NEWNUM']\\n#\\n# if not name or not bik:\\n# continue\\n#\\n# item_data = {\\n# 'name': name,\\n# 'bik': bik\\n# }\\n#\\n# if 'ADR' in item and item['ADR']:\\n# item_data['address'] = item['ADR']\\n#\\n# if 'TELEF' in item and item['TELEF']:\\n# item_data['phone'] = item['TELEF']\\n#\\n# if 'OKPO' in item and item['OKPO']:\\n# item_data['okpo'] = item['OKPO']\\n#\\n# if 'KSNP' in item and item['KSNP']:\\n# item_data['kor_account'] = item['KSNP']\\n#\\n# col.insert(item_data)\\n#\\n# self.logger.info(\\\"%d items added\\\" % col.find({}).count())\\n#\\n#\\n# class UpdateIfnsCatalogCommandAddresses(BaseManageCommand):\\n# NAME = \\\"update_ifns_addresses\\\"\\n#\\n# def run(self):\\n# \\\"\\\"\\\"\\n# Should be started every minute.\\n# \\\"\\\"\\\"\\n# assert False\\n#\\n# # TODO:\\n# col = self.db['ifns_catalog']\\n#\\n# addr_set = set()\\n# result = col.find()\\n# for r in result:\\n# if 'address' in r and r['address']:\\n# addr_set.add(r['address'])\\n# if 'rou' in r and 'address' in r['rou'] and r['rou']['address'] and isinstance(r['rou']['address'],\\n# basestring):\\n# addr_set.add(r['rou']['address'])\\n# if 'rof' in r and 'address' in r['rof'] and r['rof']['address'] and isinstance(r['rof']['address'],\\n# basestring):\\n# addr_set.add(r['rof']['address'])\\n#\\n# addr_map = {}\\n#\\n# for addr in addr_set:\\n# self.logger.info(addr)\\n# try:\\n# norm_addr = str_address_to_struct(addr)\\n# addr_map[addr] = norm_addr\\n# self.logger.info(json.dumps(norm_addr, indent=1, ensure_ascii=False))\\n# col.update({'address': addr}, {'$set': {'address': norm_addr}}, multi=True)\\n# col.update({'rou.address': addr}, {'$set': {'rou.address': norm_addr}}, multi=True)\\n# col.update({'rof.address': addr}, {'$set': {'rof.address': norm_addr}}, multi=True)\\n# except Exception:\\n# self.logger.exception(u\\\"Failed to clean address %s \\\" % addr)\\n# continue\\n#\\n\"\n },\n {\n \"alpha_fraction\": 0.6043784022331238,\n \"alphanum_fraction\": 0.6129788756370544,\n \"avg_line_length\": 37.75757598876953,\n \"blob_id\": \"0e01434410823d7e591b414bd7ec2ee89a58049c\",\n \"content_id\": \"0527570455ea28ef9157f4183e53a9b8b5642389\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1279,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 33,\n \"path\": \"/app/fw/transport/sms_gate.py\",\n \"repo_name\": \"StanislavKraev/jb_code\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nimport requests\\n\\nclass SmsSender(object):\\n\\n def __init__(self, sms_gate_url, sms_gate_login, sms_gate_password_md5, sender):\\n self.sms_gate_url = sms_gate_url\\n self.sms_gate_login = sms_gate_login\\n self.sms_gate_password_md5 = sms_gate_password_md5\\n self.sender = sender\\n\\n def get_sms_cost(self, data):\\n values_cost = data.copy()\\n values_cost['cost'] = 1\\n values_cost['login'] = self.sms_gate_login\\n values_cost['psw'] = self.sms_gate_password_md5\\n\\n result = requests.post(self.sms_gate_url, data=values_cost, timeout=20)\\n json_result = result.json()\\n if not json_result or 'cost' not in json_result:\\n raise Exception('Invalid answer: %s' % str(result.text))\\n return float(json_result['cost'])\\n\\n def send(self, data):\\n values = data.copy()\\n values['login'] = self.sms_gate_login\\n values['psw'] = self.sms_gate_password_md5\\n values['sender'] = self.sender\\n result = requests.post(self.sms_gate_url, data=values, timeout=20)\\n\\n json_result = result.json()\\n if \\\"error\\\" in json_result and \\\"error_code\\\" in json_result:\\n raise RuntimeError(\\\"Error sending sms: %s\\\" % str(json_result['error_code']))\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":191,"string":"191"}}},{"rowIdx":2984164,"cells":{"repo_name":{"kind":"string","value":"ASudu/Numerical_Analysis"},"repo_url":{"kind":"string","value":"https://github.com/ASudu/Numerical_Analysis"},"snapshot_id":{"kind":"string","value":"56bc93da92dc1945cd2e9e5d4b381716a4846c68"},"revision_id":{"kind":"string","value":"03a1883b341be072e5775973c3feb85616ebcc2e"},"directory_id":{"kind":"string","value":"642b7629d6e892710c0f5cce37d7897f63e5ca49"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-08-16T06:27:32.497849","string":"2023-08-16T06:27:32.497849"},"revision_date":{"kind":"timestamp","value":"2021-10-02T12:21:40","string":"2021-10-02T12:21:40"},"committer_date":{"kind":"timestamp","value":"2021-10-02T12:21:40","string":"2021-10-02T12:21:40"},"github_id":{"kind":"number","value":408797539,"string":"408,797,539"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5362318754196167,"alphanum_fraction":0.5662909150123596,"avg_line_length":30.120689392089844,"blob_id":"bd00250874d8e129565bc32ffab7f19f3aaee6a7","content_id":"8bd8269651c8acab853cd31f0c2387e7d6e4a832","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1863,"license_type":"no_license","max_line_length":117,"num_lines":58,"path":"/Secant.py","repo_name":"ASudu/Numerical_Analysis","src_encoding":"UTF-8","text":"import math\r\n\r\n\r\ndef f(x):\r\n \"\"\"Computes function value for given input x\r\n\r\n Args:\r\n x (float): The input value to compute value of function f at point x\r\n \"\"\"\r\n op = 0.0\r\n # This function is taken for demonstration purposes\r\n op = 3*x + math.sin(x) - math.exp(x)\r\n\r\n return op\r\n\r\ndef swap(x_0,x_1):\r\n if(abs(f(x_0)) < abs(f(x_1))):\r\n temp = x_1\r\n x_1 = x_0\r\n x_0 = temp\r\n else:\r\n pass\r\n return x_0, x_1\r\n\r\ndef secant(x_0,x_1,counter, x_prev = 0.0, tol = 0.0001,iterations = 10):\r\n \"\"\"This method computes the root of a non-linear equation (if exists) given the interval by halving the\r\n interval at each iteration to narrow down to the root\r\n\r\n Args:\r\n x_0 (float): First initial point of method\r\n x_1 (float): Second initial point of method\r\n counter (integer): Variable that keeps track of iterations\r\n x_prev (float, optional): Keeps track of previous midpoint to compute error (used only after first iteration)\r\n tol (float, optional): Tolerance value to stop the iterations(Taken as 0.01% by default)\r\n iterations (integer, optional): Number of iterations to be performed\r\n \"\"\"\r\n x_0, x_1 = swap(x_0,x_1)\r\n x_new = (x_0*f(x_1) - x_1*f(x_0))/(f(x_1) - f(x_0))\r\n counter += 1\r\n print(\"Iteration\",counter,\": x_0= \",x_1,\", x_1= \",x_1,\", x_new= \",x_new)\r\n \r\n # flag = 0 \r\n if((abs(x_prev - x_new)<tol) or (counter > iterations)):\r\n print(\"The root for the given function is: \",x_new)\r\n else:\r\n secant(x_1,x_new,counter,x_new,tol,iterations)\r\n \r\n\r\n \r\nprint(\"Enter two integers a an b\")\r\na,b = map(int, input().split())\r\n# a = 0\r\n# b = 1\r\ncounter = 0\r\nif(f(a)*f(b)>0):\r\n print(\"No root exists in the interval (\", a, \", \", b, \")\")\r\nelse:\r\n secant(a,b,counter,a-1,0.001,5)\r\n"},{"alpha_fraction":0.7819095253944397,"alphanum_fraction":0.787939727306366,"avg_line_length":81.91666412353516,"blob_id":"4597e4082f741ea45ef3a0a42e7b990520d9f196","content_id":"4f7e67ffbfd81ee55ae1d332d170c4cfa67a1145","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":995,"license_type":"no_license","max_line_length":557,"num_lines":12,"path":"/README.md","repo_name":"ASudu/Numerical_Analysis","src_encoding":"UTF-8","text":"# Numerical_Analysis\n\nRemember solving quadratic equations in Grade 8, solving for \"x\" in an equation that we had no idea where it would be used? The whole field of mathematics and its applications is about solving equations or system of equations, not just linear, to get down to numbers to get a sense of the real system we are working with. Unfortunately, it is always not possible to find the exact solutions. But we have few methods that help us get a rough estimate of the solution using elegant iterative methods. In this repo, I add pyrhon code for each of these methods.\n\n## Solution to Non-linear Equation:\n1. [Bisection method](https://github.com/ASudu/Numerical_Analysis/blob/main/Bisection.py)\n2. [Secant method](https://github.com/ASudu/Numerical_Analysis/blob/main/Secant.py)\n3. [Regula-Falsi method](https://github.com/ASudu/Numerical_Analysis/blob/main/Regula-Falsi.py)\n4. Newton-Raphson method\n5. Fixed point method\n \nRest of the methods will be updated as course progresses\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5362318754196167,\n \"alphanum_fraction\": 0.5662909150123596,\n \"avg_line_length\": 30.120689392089844,\n \"blob_id\": \"bd00250874d8e129565bc32ffab7f19f3aaee6a7\",\n \"content_id\": \"8bd8269651c8acab853cd31f0c2387e7d6e4a832\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1863,\n \"license_type\": \"no_license\",\n \"max_line_length\": 117,\n \"num_lines\": 58,\n \"path\": \"/Secant.py\",\n \"repo_name\": \"ASudu/Numerical_Analysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import math\\r\\n\\r\\n\\r\\ndef f(x):\\r\\n \\\"\\\"\\\"Computes function value for given input x\\r\\n\\r\\n Args:\\r\\n x (float): The input value to compute value of function f at point x\\r\\n \\\"\\\"\\\"\\r\\n op = 0.0\\r\\n # This function is taken for demonstration purposes\\r\\n op = 3*x + math.sin(x) - math.exp(x)\\r\\n\\r\\n return op\\r\\n\\r\\ndef swap(x_0,x_1):\\r\\n if(abs(f(x_0)) < abs(f(x_1))):\\r\\n temp = x_1\\r\\n x_1 = x_0\\r\\n x_0 = temp\\r\\n else:\\r\\n pass\\r\\n return x_0, x_1\\r\\n\\r\\ndef secant(x_0,x_1,counter, x_prev = 0.0, tol = 0.0001,iterations = 10):\\r\\n \\\"\\\"\\\"This method computes the root of a non-linear equation (if exists) given the interval by halving the\\r\\n interval at each iteration to narrow down to the root\\r\\n\\r\\n Args:\\r\\n x_0 (float): First initial point of method\\r\\n x_1 (float): Second initial point of method\\r\\n counter (integer): Variable that keeps track of iterations\\r\\n x_prev (float, optional): Keeps track of previous midpoint to compute error (used only after first iteration)\\r\\n tol (float, optional): Tolerance value to stop the iterations(Taken as 0.01% by default)\\r\\n iterations (integer, optional): Number of iterations to be performed\\r\\n \\\"\\\"\\\"\\r\\n x_0, x_1 = swap(x_0,x_1)\\r\\n x_new = (x_0*f(x_1) - x_1*f(x_0))/(f(x_1) - f(x_0))\\r\\n counter += 1\\r\\n print(\\\"Iteration\\\",counter,\\\": x_0= \\\",x_1,\\\", x_1= \\\",x_1,\\\", x_new= \\\",x_new)\\r\\n \\r\\n # flag = 0 \\r\\n if((abs(x_prev - x_new)<tol) or (counter > iterations)):\\r\\n print(\\\"The root for the given function is: \\\",x_new)\\r\\n else:\\r\\n secant(x_1,x_new,counter,x_new,tol,iterations)\\r\\n \\r\\n\\r\\n \\r\\nprint(\\\"Enter two integers a an b\\\")\\r\\na,b = map(int, input().split())\\r\\n# a = 0\\r\\n# b = 1\\r\\ncounter = 0\\r\\nif(f(a)*f(b)>0):\\r\\n print(\\\"No root exists in the interval (\\\", a, \\\", \\\", b, \\\")\\\")\\r\\nelse:\\r\\n secant(a,b,counter,a-1,0.001,5)\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.7819095253944397,\n \"alphanum_fraction\": 0.787939727306366,\n \"avg_line_length\": 81.91666412353516,\n \"blob_id\": \"4597e4082f741ea45ef3a0a42e7b990520d9f196\",\n \"content_id\": \"4f7e67ffbfd81ee55ae1d332d170c4cfa67a1145\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 995,\n \"license_type\": \"no_license\",\n \"max_line_length\": 557,\n \"num_lines\": 12,\n \"path\": \"/README.md\",\n \"repo_name\": \"ASudu/Numerical_Analysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Numerical_Analysis\\n\\nRemember solving quadratic equations in Grade 8, solving for \\\"x\\\" in an equation that we had no idea where it would be used? The whole field of mathematics and its applications is about solving equations or system of equations, not just linear, to get down to numbers to get a sense of the real system we are working with. Unfortunately, it is always not possible to find the exact solutions. But we have few methods that help us get a rough estimate of the solution using elegant iterative methods. In this repo, I add pyrhon code for each of these methods.\\n\\n## Solution to Non-linear Equation:\\n1. [Bisection method](https://github.com/ASudu/Numerical_Analysis/blob/main/Bisection.py)\\n2. [Secant method](https://github.com/ASudu/Numerical_Analysis/blob/main/Secant.py)\\n3. [Regula-Falsi method](https://github.com/ASudu/Numerical_Analysis/blob/main/Regula-Falsi.py)\\n4. Newton-Raphson method\\n5. Fixed point method\\n \\nRest of the methods will be updated as course progresses\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2984165,"cells":{"repo_name":{"kind":"string","value":"kartikcr/React_vs_Vue_vs_Angular"},"repo_url":{"kind":"string","value":"https://github.com/kartikcr/React_vs_Vue_vs_Angular"},"snapshot_id":{"kind":"string","value":"230bae7379b5e1f1799556ae4eb147d1b9830363"},"revision_id":{"kind":"string","value":"cc3b835dc3aace83545dbf0d4ff1a8bea9d47e57"},"directory_id":{"kind":"string","value":"d79507960a1e0e00df102abf2b4a0c90e2dd9bba"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-04-28T14:47:20.227441","string":"2020-04-28T14:47:20.227441"},"revision_date":{"kind":"timestamp","value":"2018-12-01T05:06:11","string":"2018-12-01T05:06:11"},"committer_date":{"kind":"timestamp","value":"2018-12-01T05:06:11","string":"2018-12-01T05:06:11"},"github_id":{"kind":"number","value":175348979,"string":"175,348,979"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.771336555480957,"alphanum_fraction":0.771336555480957,"avg_line_length":27.227272033691406,"blob_id":"09007ee373c116092ad1c83cabe26bd4bf6ddd8f","content_id":"f039e172968169fbde8e7aa801b1c9f5822713c4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":621,"license_type":"no_license","max_line_length":46,"num_lines":22,"path":"/pybackend/pyapi/views.py","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"from django.shortcuts import render\nfrom .serializer import *\nfrom .models import *\nfrom rest_framework import generics\n\n\nclass ArticleView(generics.ListAPIView):\n # ListAPIView provides GET method handlers\n queryset = Article.objects.all()\n serializer_class = ArticleSerializer\n\n\nclass CarView(generics.ListAPIView):\n # ListAPIView provides GET method handlers\n queryset = Car.objects.all()\n serializer_class = CarSerializer\n\n\nclass ImageTableView(generics.ListAPIView):\n # ListAPIView provides GET method handlers\n queryset = ImageTable.objects.all()\n serializer_class = ImageTableSerializer\n"},{"alpha_fraction":0.37368419766426086,"alphanum_fraction":0.375,"avg_line_length":23.516128540039062,"blob_id":"1ef8714b4e6d12132ab769e0142ed026eb7664b9","content_id":"5a3157074010dc0d42044287b9f345336e08c535","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":1520,"license_type":"no_license","max_line_length":121,"num_lines":62,"path":"/todolist/src/ToDoList.js","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"import React from 'react';\nimport Task from './Task';\n\nclass ToDoList extends React.Component{\n constructor(props){\n super(props);\n // Persist state\n this.state = {\n list: [\n {\n 'task':'Enter tasks here' \n }\n ]\n };\n }\n\n newTask = () => {\n this.setState(\n ({list,task}) => ({\n list:[\n ...list,{task}\n ],\n task:''\n })\n )\n };\n\n handleInput = ele => {\n this.setState({\n task: ele.target.value\n });\n };\n\n deleteTask = delIndex => {\n this.setState( \n ({list}) => ({\n list: list.filter((task, index) => index !== delIndex)\n })\n )\n };\n\n render(){\n return(\n <div>\n <h1> To do list </h1>\n <div className = \"ToDoList\">\n {this.state.list.map(\n (task,key)=>{\n return <Task key={key} taskcontent={task.task} taskdelete={this.deleteTask.bind(this,key)} />\n }\n )}\n </div>\n <div>\n <input type=\"text\" value={this.state.task} onChange={this.handleInput} />\n <button onClick={this.newTask} name=\"ToDoList_btn\"> + </button>\n </div>\n </div>\n )\n }\n\n}\nexport default ToDoList;\n"},{"alpha_fraction":0.7375504970550537,"alphanum_fraction":0.8034993410110474,"avg_line_length":32.772727966308594,"blob_id":"1d3ef0abdec5eb4fabcdc6b5aaf29a40ae2b46de","content_id":"d4729ac86ca84fc2ae5955ca1407eb7d4526d3f1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":743,"license_type":"no_license","max_line_length":85,"num_lines":22,"path":"/FrontEnd_Sel_Testing/ToDoSelenium/src/config/test1.properties","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"app_url=http://10.252.135.102/essbase/ui\napp_host=10.252.135.102\ndefault_admin=admin\ndefault_admin_pwd=Welcome1\ndefault_power=power113\ndefault_power_pwd=Welcome1\ndownload_path=C:\\\\test\ndriver_path=D:/pltfrm_wrkspc/SelAuto/driver\nsv_path=C:\\\\Users\\\\prachauh\\\\Desktop\\\\main\\\\EssCS_12c\\\\SVPlay\nhost=slc12fze.us.oracle.com\nfirefox_path=FFX_PATH\nhost_user=prachauh\nhost_pwd=Systest1#\nmw_home=/scratch/prachauh/12esscs\ncli_loc=/scratch/prachauh/12esscs/dist/bi/products/Essbase/platform/utilities/cli.zip\nlcm_script=/net/slc12fze/scratch/scripts/lcmInitialize.sh\ncli_script=/net/slc12fze/scratch/scripts/CLISetup.sh\ndb_host=slc12fze.us.oracle.com\ndb_service=db7691.us.oracle.com\ndb_port=15083\ndb_user=prachauh2fze_biplatform\ndb_pwd=welcome1\n"},{"alpha_fraction":0.7055702805519104,"alphanum_fraction":0.7055702805519104,"avg_line_length":33.272727966308594,"blob_id":"8886880e3694e691957483a5b728c050c16bdaae","content_id":"c759bb41c8524e539413028a6a4d589e005ed8ae","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":377,"license_type":"no_license","max_line_length":63,"num_lines":11,"path":"/pybackend/pyapi/urls.py","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"from django.conf.urls import url, include\nfrom rest_framework.urlpatterns import format_suffix_patterns\nfrom .views import *\n\nurlpatterns = {\n url(r'^articles/$', ArticleView.as_view(), name=\"create\"),\n url(r'^cars/$', CarView.as_view(), name=\"create\"),\n url(r'^images/$', ImageTableView.as_view(), name=\"create\"),\n}\n\nurlpatterns = format_suffix_patterns(urlpatterns)\n"},{"alpha_fraction":0.47076311707496643,"alphanum_fraction":0.5104063153266907,"avg_line_length":36.407405853271484,"blob_id":"dde1a0688e370a80f370bfbe3365e59b7b1e24cc","content_id":"f46868dc8601715ffe4b028981c31a8ac182cb8c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":1009,"license_type":"no_license","max_line_length":59,"num_lines":27,"path":"/Cypress_test/cypress_combined_test.js","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"describe('The Home Page', function () {\n it('successfully loads', function() {\n cy.visit('http://localhost:3000')\n cy.get('#b1').then(($btn) => {})\n cy.get('#t1').then(($t1) => {})\n //cy.get('d1').then(($divblc1) => {})\n cy.get('div').then(($random) =>{})\n cy.get(\"#A\"+\"1_\"+\"title\").then(($texty1) => {})\n cy.get(\"#A\"+\"1_\"+\"author\").then(($texty2) => {})\n cy.get(\"#A\"+\"1_\"+\"article\").then(($texty3) => {})\n cy.get(\"#A\"+\"2_\"+\"title\").then(($texty1) => {})\n cy.get(\"#A\"+\"2_\"+\"author\").then(($texty2) => {})\n cy.get(\"#A\"+\"2_\"+\"article\").then(($texty3) => {})\n\n/*cy.get('#d1').should(($d1) => {\nconst $divs = $d1.find('div')\nexpect($divs.eq(0)).to.contain('data.title')\n})*/\n//cy.get('#d1').get('#d2').contains('#txt1')\n//cy.get('#d1').then(($d1 => {})\n//cy.get('#d1').get('#d2').get('#txt1').then(($txt1) => {})\n//cy.get('div h2#txt2').then(($txt2) => {})\n//cy.get('div h3#txt3').then(($txt3) => {})\n//cy.get('button').click({ position: 'topLeft' }) \n//cy.get('input[name=TaskContent]').type(`${text}`)\n})\n})"},{"alpha_fraction":0.8387096524238586,"alphanum_fraction":0.8387096524238586,"avg_line_length":31,"blob_id":"a53edb9e4619ef848d6f71553429f6769a5f5969","content_id":"65b637cbb57b26d3e0498497ad84acc91e478ca0","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":31,"license_type":"no_license","max_line_length":31,"num_lines":1,"path":"/ToDoSelenium/test-output/old/MATS/todo_test.properties","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"[SuiteResult context=todo_test]"},{"alpha_fraction":0.657975435256958,"alphanum_fraction":0.657975435256958,"avg_line_length":24.076923370361328,"blob_id":"6f5a66dc90b3395a4b4c592f0271b20ef2f4950c","content_id":"289e4ab32ca01ae9c241ace25c6957dce5b66529","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":652,"license_type":"no_license","max_line_length":56,"num_lines":26,"path":"/pybackend/pyapi/serializer.py","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"from rest_framework import serializers\nfrom .models import *\n\n\nclass ArticleSerializer(serializers.ModelSerializer):\n class Meta:\n model = Article\n fields=('ID','title', 'author', 'article')\n\n\nclass CarSerializer(serializers.ModelSerializer):\n class Meta:\n model = Car\n fields = ('ID','company', 'model', 'price')\n\n\nclass ArticleSerializer(serializers.ModelSerializer):\n class Meta:\n model = Article\n fields = ('ID','title', 'author', 'article')\n\n\nclass ImageTableSerializer(serializers.ModelSerializer):\n class Meta:\n model = ImageTable\n fields = ('ID','image_url','image_alt_text')\n"},{"alpha_fraction":0.5992336869239807,"alphanum_fraction":0.6053639650344849,"avg_line_length":24.58823585510254,"blob_id":"82494d5a0a4703ba5462d49842202bf85f3bb055","content_id":"043d8292c323b8aa23b64439a63542e7f689a55b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":1305,"license_type":"no_license","max_line_length":115,"num_lines":51,"path":"/FrontEnd_Sel_Testing/ToDoSelenium/src/com/test/ToDoTest.java","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"package com.test;\n\nimport org.testng.annotations.Test;\n\nimport com.pages.main.Initialize;\nimport com.pages.main.ToDoMainPage;\n\nimport org.testng.annotations.BeforeClass;\nimport org.testng.annotations.Parameters;\nimport org.openqa.selenium.JavascriptExecutor;\nimport org.testng.annotations.AfterClass;\n\n/******************************************************************************************************************\nTest Case: To Do List Sanity\n\nMODIFICATION LOG\n11/29/2018\t\t\t\t\tInitial Development\t\t\t\t\tShraddha\n******************************************************************************************************************/\n\n@Test(groups = { \"mats\" })\npublic class ToDoTest extends Initialize\n{\n\t@BeforeClass\n\t@Parameters({\"browser\", \"platform\"})\n\tpublic void beforeClass(String browser, String platform) \n\t{\n\t\t//Change to @Parameters to be passed from testng.xml\n\t\tinit(browser,platform);\n\t}\n\t\n\tpublic void createLocationAlias() \n\t{\n\t\twdObj.get(propObj.getProperty(\"app_url\"));\n\t\twdObj.manage().window().maximize();\n\t\t((JavascriptExecutor) wdObj).executeScript(\"window.focus();\");\n\t\t\n\t\tToDoMainPage pgObj = new ToDoMainPage(wdObj);\n\t\t\n\t\tpgObj.setText(\"Testing\");\n\t\tpgObj.clickTaskdelete();\n\t\tpgObj.clickAdd();\n\t\t\n\t}\n\n\t\n\t@AfterClass(alwaysRun=true)\n\tpublic void afterClass() \n\t{\t\t\n\t\texitTest();\n\t}\n}\n"},{"alpha_fraction":0.7018633484840393,"alphanum_fraction":0.8260869383811951,"avg_line_length":22.14285659790039,"blob_id":"f82b55023f658a62ab50ede881d8d05453340c2f","content_id":"6e594efd0687e27defc9c413a1d3b7cd874044bf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":161,"license_type":"no_license","max_line_length":48,"num_lines":7,"path":"/FrontEnd_Sel_Testing/ToDoSelenium/src/config/console.properties","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"email_host=slc07ibo.us.oracle.com\nscanner_host=slcn17vmf0062.c9dev1.oraclecorp.com\nsmtp_port=465\nimap_port=993\nscanner_port=1344\nuser=esscsadmin@esscsora.com\npassword=Welcome1"},{"alpha_fraction":0.40458938479423523,"alphanum_fraction":0.4227053225040436,"avg_line_length":24.090909957885742,"blob_id":"d1c16a9719ab013b812489651a40cb3781c9ee63","content_id":"da0643c950bfda28fde6748ceb247834d09360fc","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":828,"license_type":"no_license","max_line_length":79,"num_lines":33,"path":"/todolist/src/Car.js","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"import React, {Component} from 'react';\nclass CarRestDisplay extends Component{\n constructor(props){\n super(props);\n this.state={\n data: []\n };\n }\n \n componentDidMount(){\n const this_reference = this;\n fetch('http://152.46.17.4:8080/pyapi/cars')\n .then(results => {return results.json();})\n .then(jsonData => {\n this.setState({data: jsonData});\n })\n }\n \n render(){\n return(\n <div>\n {this.state.data.map(\n (data,index) => (\n <div>\n {data.company} <br/>{data.model}<br/>{data.price}<hr/>\n </div>\n )\n )}\n </div>\n )\n }\n} \nexport default CarRestDisplay;\n"},{"alpha_fraction":0.7192474603652954,"alphanum_fraction":0.730824887752533,"avg_line_length":16.274999618530273,"blob_id":"445730bf5581817ae4276ff218ed085a5ffc9515","content_id":"7c483f7443e1bb2b17015d58c2daac3b748a2b00","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":691,"license_type":"no_license","max_line_length":68,"num_lines":40,"path":"/README.md","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"# Python backend\n\n### API reference\n\nClasses and attributes:\n\n1. Car \nGET: pyapi/cars \nAttributes: company (text), model (text), price (integer) \n \n2. Article \nGET: pyapi/articles \nAttributes: title(text), author(text), article(text) \n\n3. ImageTable \nGET: pyapi/images \nAttributes: image_alt_text (text), image_url(text) \n\n4. Admin\nAccess: /admin\n\n### Installation steps\nEnsure Django and DRF are installed: \n\n`pip install Django`\n\n`pip install djangorestframework`\n\nMake migrations:\n\n`python3 manage.py makemigrations`\n`python3 manage.py migrate`\n\nCreate superuser:\n\n`python3 manage.py createsuperuser --email a@a.com --username admin`\n\nrunserver: \n\n`python3 manage.py runserver`\n"},{"alpha_fraction":0.5674931406974792,"alphanum_fraction":0.5674931406974792,"avg_line_length":29.25,"blob_id":"652c6b64509cc7674b787c041e87ef1ede6d2e90","content_id":"834f161a20fe9a616c90978706ab383dd7bba113","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":363,"license_type":"no_license","max_line_length":98,"num_lines":12,"path":"/todolist/src/Task.js","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"import React from 'react';\nclass Task extends React.Component{\n render() {\n return (\n <div>\n <input type='text' className=\"TaskContent\" value={this.props.taskcontent}></input>\n <button className=\"TaskDelete\" onClick={this.props.taskdelete}> x </button>\n </div>\n );\n }\n}\nexport default Task;\n"},{"alpha_fraction":0.7214285731315613,"alphanum_fraction":0.7357142567634583,"avg_line_length":20.538461685180664,"blob_id":"17c13b037f78a7dbc4e14a86c29f7a6222b5c2ea","content_id":"d78da8a733ff5c700717b54aa84d736c500780bb","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":280,"license_type":"no_license","max_line_length":68,"num_lines":13,"path":"/todolist/README.md","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"# React ToDoList app\nA simple to do list that allows adding, editing and deleting tasks. \n\n### Run \nGoto the src folder and run:\n`npm start`\nWill run the program at port 3000\n\n### Installation\n`sudo apt-get install nodejs npm`\n\nIf you get a node_modules error, run:\n`npm install`\n"},{"alpha_fraction":0.7584951519966125,"alphanum_fraction":0.8143203854560852,"avg_line_length":33.33333206176758,"blob_id":"8d2417b632db36e8a14af5b235f13bbc2e5bb761","content_id":"9c1449f7c83b9cd12da2e167ca336c032ae62fec","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":824,"license_type":"no_license","max_line_length":85,"num_lines":24,"path":"/FrontEnd_Sel_Testing/ToDoSelenium/src/config/test.properties","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"app_url=localhost:3000\napp_host=slc14sav.us.oracle.com\ndefault_admin=weblogic\ncodecoverage=true\ndefault_admin_pwd=welcome1\ndefault_power=test_power\ndefault_power_pwd=welcome1\ndownload_path=C:\\\\test\ndriver_path=D:/pltfrm_wrkspc/SelAuto/driver\nsv_path=C:\\\\Users\\\\prachauh\\\\Desktop\\\\main\\\\EssCS_12c\\\\SVPlay\nhost=slc12fze.us.oracle.com\nfirefox_path=Macintosh HD\\u2069 \\u25B8 \\u2068Applications\\u2069\nhost_user=prachauh\nhost_pwd=Systest13#\nmw_home=/scratch/prachauh/12esscs\ncli_loc=/scratch/prachauh/12esscs/dist/bi/products/Essbase/platform/utilities/cli.zip\nlcm_script=/net/slc12fze/scratch/scripts/lcmInitialize.sh\ncli_script=/net/slc12fze/scratch/scripts/CLISetup.sh\ngecko_path=geckodriver \\3\ndb_host=slc12fze.us.oracle.com\ndb_service=db7691.us.oracle.com\ndb_port=15083\ndb_user=prachauh2fze_biplatform\ndb_pwd=welcome1\n"},{"alpha_fraction":0.6683937907218933,"alphanum_fraction":0.7253885865211487,"avg_line_length":37.599998474121094,"blob_id":"9c91b77c4e86b23764b601b5b8d61c844f34a00f","content_id":"dea25d90e917e88b49f500073fa60bdabf5155d7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":193,"license_type":"no_license","max_line_length":86,"num_lines":5,"path":"/venv/bin/django-admin.py","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"#!/media/varun/0DC10EF30DC10EF3/_Studies/NCSU/Sem 1/SE/react_vs_vue/venv/bin/python3.6\nfrom django.core import management\n\nif __name__ == \"__main__\":\n management.execute_from_command_line()\n"},{"alpha_fraction":0.5521472096443176,"alphanum_fraction":0.5521472096443176,"avg_line_length":26.16666603088379,"blob_id":"43bf9fd9eabcf0438274bde942b44b602a5ee736","content_id":"1b26e5664ae91c15791775e869b50fb51942389a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":489,"license_type":"no_license","max_line_length":45,"num_lines":18,"path":"/todolist/src/Main.js","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"import React, {Component} from 'react'\nimport ToDoList from './ToDoList'\nimport ArticleRestDisplay from './Article'\nimport CarRestDisplay from './Car'\nimport ImageRestDisplay from './Image'\nclass Main extends Component{\n render(){\n return(\n <div>\n <ToDoList /> <hr />\n <ArticleRestDisplay /> <hr />\n <CarRestDisplay /> <hr />\n <ImageRestDisplay />\n </div> \n );\n }\n}\nexport default Main;\n"},{"alpha_fraction":0.6943573951721191,"alphanum_fraction":0.6943573951721191,"avg_line_length":23.538461685180664,"blob_id":"5f20ed8a784d5dbc9fc38e79d4a840c165b85d3d","content_id":"c606070b5fed38bb955fc627e2d2268c8522dcd4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":638,"license_type":"no_license","max_line_length":43,"num_lines":26,"path":"/pybackend/pyapi/models.py","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"from django.db import models\n\n# Create your models here.\n\n\nclass Article(models.Model):\n # Simulate large text parts\n title = models.TextField()\n author = models.TextField()\n article = models.TextField()\n ID = models.AutoField(primary_key=True)\n\n\nclass Car(models.Model):\n # Simulate a form\n company = models.TextField()\n model = models.TextField()\n price = models.BigIntegerField()\n ID = models.AutoField(primary_key=True)\n\n\nclass ImageTable(models.Model):\n # Simulate image rendering\n image_alt_text = models.TextField()\n image_url = models.TextField()\n ID = models.AutoField(primary_key=True)\n"},{"alpha_fraction":0.5194507837295532,"alphanum_fraction":0.5903890132904053,"avg_line_length":22,"blob_id":"630fe68d4e3df5b2dca223edc6a2053fcf2285eb","content_id":"16fb7a36552a8429e901e11cd7abce86f6a7f307","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":437,"license_type":"no_license","max_line_length":57,"num_lines":19,"path":"/pybackend/pyapi/migrations/0003_imagetable_image_alt_text.py","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"# Generated by Django 2.1.3 on 2018-11-25 01:44\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('pyapi', '0002_auto_20181125_0133'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='imagetable',\n name='image_alt_text',\n field=models.TextField(default='sadffassdf'),\n preserve_default=False,\n ),\n ]\n"},{"alpha_fraction":0.7862318754196167,"alphanum_fraction":0.804347813129425,"avg_line_length":24.18181800842285,"blob_id":"9b3eeaebab5300a6c3c0b9230a5a798f08f6d14f","content_id":"620ddbc533d5411135bf21b970d1f8980116ead2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":276,"license_type":"no_license","max_line_length":43,"num_lines":11,"path":"/ToDoSelenium/src/config/test.properties","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"app_url=http://localhost:8080/#/todo\n\ndefault_admin=weblogic\ncodecoverage=true\ndefault_admin_pwd=welcome1\ndefault_power=test_power\ndefault_power_pwd=welcome1\ndownload_path=C:\\\\test\ndriver_path=D:/pltfrm_wrkspc/SelAuto/driver\nfirefox_path=FFX_PATH\ngecko_path=geckodriver\\ 3"},{"alpha_fraction":0.39168110489845276,"alphanum_fraction":0.4090121388435364,"avg_line_length":26.4761905670166,"blob_id":"a10db0077843b195951ad4afc27269cb3b5a5e44","content_id":"a5bde9898b3cb71549599dc49b659c621b63fd9b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":1154,"license_type":"no_license","max_line_length":84,"num_lines":42,"path":"/todolist/src/Article.js","repo_name":"kartikcr/React_vs_Vue_vs_Angular","src_encoding":"UTF-8","text":"import React, {Component} from 'react';\nclass ArticleRestDisplay extends Component{\n constructor(props){\n super(props);\n this.state={\n data: [],\n count: 0\n };\n }\n \n componentDidMount(){\n const this_reference = this;\n fetch('http://152.46.17.4:8080/pyapi/articles')\n .then(results => {return results.json();})\n .then(jsonData => {\n this.setState({data: jsonData});\n })\n }\n\n newName(data){\n return \"article_\"+data+\"_\"+this.state.count;\n }\n \n render(){\n return(\n <div>\n {this.state.data.map(\n (data,index) => (\n <div>\n <h1 id={\"A\"+data.ID+\"_title\"}> {data.title} </h1>\n <br/>\n <h2 id={\"A\"+data.ID+\"_author\"}>{data.author}</h2>\n <br/>\n <span id={\"A\"+data.ID+\"_article\"}>{data.article}</span><hr/>\n </div>\n )\n )}\n </div>\n )\n }\n} \nexport default ArticleRestDisplay;\n"}],"string":"[\n {\n \"alpha_fraction\": 0.771336555480957,\n \"alphanum_fraction\": 0.771336555480957,\n \"avg_line_length\": 27.227272033691406,\n \"blob_id\": \"09007ee373c116092ad1c83cabe26bd4bf6ddd8f\",\n \"content_id\": \"f039e172968169fbde8e7aa801b1c9f5822713c4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 621,\n \"license_type\": \"no_license\",\n \"max_line_length\": 46,\n \"num_lines\": 22,\n \"path\": \"/pybackend/pyapi/views.py\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.shortcuts import render\\nfrom .serializer import *\\nfrom .models import *\\nfrom rest_framework import generics\\n\\n\\nclass ArticleView(generics.ListAPIView):\\n # ListAPIView provides GET method handlers\\n queryset = Article.objects.all()\\n serializer_class = ArticleSerializer\\n\\n\\nclass CarView(generics.ListAPIView):\\n # ListAPIView provides GET method handlers\\n queryset = Car.objects.all()\\n serializer_class = CarSerializer\\n\\n\\nclass ImageTableView(generics.ListAPIView):\\n # ListAPIView provides GET method handlers\\n queryset = ImageTable.objects.all()\\n serializer_class = ImageTableSerializer\\n\"\n },\n {\n \"alpha_fraction\": 0.37368419766426086,\n \"alphanum_fraction\": 0.375,\n \"avg_line_length\": 23.516128540039062,\n \"blob_id\": \"1ef8714b4e6d12132ab769e0142ed026eb7664b9\",\n \"content_id\": \"5a3157074010dc0d42044287b9f345336e08c535\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 1520,\n \"license_type\": \"no_license\",\n \"max_line_length\": 121,\n \"num_lines\": 62,\n \"path\": \"/todolist/src/ToDoList.js\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import React from 'react';\\nimport Task from './Task';\\n\\nclass ToDoList extends React.Component{\\n constructor(props){\\n super(props);\\n // Persist state\\n this.state = {\\n list: [\\n {\\n 'task':'Enter tasks here' \\n }\\n ]\\n };\\n }\\n\\n newTask = () => {\\n this.setState(\\n ({list,task}) => ({\\n list:[\\n ...list,{task}\\n ],\\n task:''\\n })\\n )\\n };\\n\\n handleInput = ele => {\\n this.setState({\\n task: ele.target.value\\n });\\n };\\n\\n deleteTask = delIndex => {\\n this.setState( \\n ({list}) => ({\\n list: list.filter((task, index) => index !== delIndex)\\n })\\n )\\n };\\n\\n render(){\\n return(\\n <div>\\n <h1> To do list </h1>\\n <div className = \\\"ToDoList\\\">\\n {this.state.list.map(\\n (task,key)=>{\\n return <Task key={key} taskcontent={task.task} taskdelete={this.deleteTask.bind(this,key)} />\\n }\\n )}\\n </div>\\n <div>\\n <input type=\\\"text\\\" value={this.state.task} onChange={this.handleInput} />\\n <button onClick={this.newTask} name=\\\"ToDoList_btn\\\"> + </button>\\n </div>\\n </div>\\n )\\n }\\n\\n}\\nexport default ToDoList;\\n\"\n },\n {\n \"alpha_fraction\": 0.7375504970550537,\n \"alphanum_fraction\": 0.8034993410110474,\n \"avg_line_length\": 32.772727966308594,\n \"blob_id\": \"1d3ef0abdec5eb4fabcdc6b5aaf29a40ae2b46de\",\n \"content_id\": \"d4729ac86ca84fc2ae5955ca1407eb7d4526d3f1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 743,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 22,\n \"path\": \"/FrontEnd_Sel_Testing/ToDoSelenium/src/config/test1.properties\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"app_url=http://10.252.135.102/essbase/ui\\napp_host=10.252.135.102\\ndefault_admin=admin\\ndefault_admin_pwd=Welcome1\\ndefault_power=power113\\ndefault_power_pwd=Welcome1\\ndownload_path=C:\\\\\\\\test\\ndriver_path=D:/pltfrm_wrkspc/SelAuto/driver\\nsv_path=C:\\\\\\\\Users\\\\\\\\prachauh\\\\\\\\Desktop\\\\\\\\main\\\\\\\\EssCS_12c\\\\\\\\SVPlay\\nhost=slc12fze.us.oracle.com\\nfirefox_path=FFX_PATH\\nhost_user=prachauh\\nhost_pwd=Systest1#\\nmw_home=/scratch/prachauh/12esscs\\ncli_loc=/scratch/prachauh/12esscs/dist/bi/products/Essbase/platform/utilities/cli.zip\\nlcm_script=/net/slc12fze/scratch/scripts/lcmInitialize.sh\\ncli_script=/net/slc12fze/scratch/scripts/CLISetup.sh\\ndb_host=slc12fze.us.oracle.com\\ndb_service=db7691.us.oracle.com\\ndb_port=15083\\ndb_user=prachauh2fze_biplatform\\ndb_pwd=welcome1\\n\"\n },\n {\n \"alpha_fraction\": 0.7055702805519104,\n \"alphanum_fraction\": 0.7055702805519104,\n \"avg_line_length\": 33.272727966308594,\n \"blob_id\": \"8886880e3694e691957483a5b728c050c16bdaae\",\n \"content_id\": \"c759bb41c8524e539413028a6a4d589e005ed8ae\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 377,\n \"license_type\": \"no_license\",\n \"max_line_length\": 63,\n \"num_lines\": 11,\n \"path\": \"/pybackend/pyapi/urls.py\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.conf.urls import url, include\\nfrom rest_framework.urlpatterns import format_suffix_patterns\\nfrom .views import *\\n\\nurlpatterns = {\\n url(r'^articles/$', ArticleView.as_view(), name=\\\"create\\\"),\\n url(r'^cars/$', CarView.as_view(), name=\\\"create\\\"),\\n url(r'^images/$', ImageTableView.as_view(), name=\\\"create\\\"),\\n}\\n\\nurlpatterns = format_suffix_patterns(urlpatterns)\\n\"\n },\n {\n \"alpha_fraction\": 0.47076311707496643,\n \"alphanum_fraction\": 0.5104063153266907,\n \"avg_line_length\": 36.407405853271484,\n \"blob_id\": \"dde1a0688e370a80f370bfbe3365e59b7b1e24cc\",\n \"content_id\": \"f46868dc8601715ffe4b028981c31a8ac182cb8c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 1009,\n \"license_type\": \"no_license\",\n \"max_line_length\": 59,\n \"num_lines\": 27,\n \"path\": \"/Cypress_test/cypress_combined_test.js\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"describe('The Home Page', function () {\\n it('successfully loads', function() {\\n cy.visit('http://localhost:3000')\\n cy.get('#b1').then(($btn) => {})\\n cy.get('#t1').then(($t1) => {})\\n //cy.get('d1').then(($divblc1) => {})\\n cy.get('div').then(($random) =>{})\\n cy.get(\\\"#A\\\"+\\\"1_\\\"+\\\"title\\\").then(($texty1) => {})\\n cy.get(\\\"#A\\\"+\\\"1_\\\"+\\\"author\\\").then(($texty2) => {})\\n cy.get(\\\"#A\\\"+\\\"1_\\\"+\\\"article\\\").then(($texty3) => {})\\n cy.get(\\\"#A\\\"+\\\"2_\\\"+\\\"title\\\").then(($texty1) => {})\\n cy.get(\\\"#A\\\"+\\\"2_\\\"+\\\"author\\\").then(($texty2) => {})\\n cy.get(\\\"#A\\\"+\\\"2_\\\"+\\\"article\\\").then(($texty3) => {})\\n\\n/*cy.get('#d1').should(($d1) => {\\nconst $divs = $d1.find('div')\\nexpect($divs.eq(0)).to.contain('data.title')\\n})*/\\n//cy.get('#d1').get('#d2').contains('#txt1')\\n//cy.get('#d1').then(($d1 => {})\\n//cy.get('#d1').get('#d2').get('#txt1').then(($txt1) => {})\\n//cy.get('div h2#txt2').then(($txt2) => {})\\n//cy.get('div h3#txt3').then(($txt3) => {})\\n//cy.get('button').click({ position: 'topLeft' }) \\n//cy.get('input[name=TaskContent]').type(`${text}`)\\n})\\n})\"\n },\n {\n \"alpha_fraction\": 0.8387096524238586,\n \"alphanum_fraction\": 0.8387096524238586,\n \"avg_line_length\": 31,\n \"blob_id\": \"a53edb9e4619ef848d6f71553429f6769a5f5969\",\n \"content_id\": \"65b637cbb57b26d3e0498497ad84acc91e478ca0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 31,\n \"license_type\": \"no_license\",\n \"max_line_length\": 31,\n \"num_lines\": 1,\n \"path\": \"/ToDoSelenium/test-output/old/MATS/todo_test.properties\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[SuiteResult context=todo_test]\"\n },\n {\n \"alpha_fraction\": 0.657975435256958,\n \"alphanum_fraction\": 0.657975435256958,\n \"avg_line_length\": 24.076923370361328,\n \"blob_id\": \"6f5a66dc90b3395a4b4c592f0271b20ef2f4950c\",\n \"content_id\": \"289e4ab32ca01ae9c241ace25c6957dce5b66529\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 652,\n \"license_type\": \"no_license\",\n \"max_line_length\": 56,\n \"num_lines\": 26,\n \"path\": \"/pybackend/pyapi/serializer.py\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework import serializers\\nfrom .models import *\\n\\n\\nclass ArticleSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Article\\n fields=('ID','title', 'author', 'article')\\n\\n\\nclass CarSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Car\\n fields = ('ID','company', 'model', 'price')\\n\\n\\nclass ArticleSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Article\\n fields = ('ID','title', 'author', 'article')\\n\\n\\nclass ImageTableSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = ImageTable\\n fields = ('ID','image_url','image_alt_text')\\n\"\n },\n {\n \"alpha_fraction\": 0.5992336869239807,\n \"alphanum_fraction\": 0.6053639650344849,\n \"avg_line_length\": 24.58823585510254,\n \"blob_id\": \"82494d5a0a4703ba5462d49842202bf85f3bb055\",\n \"content_id\": \"043d8292c323b8aa23b64439a63542e7f689a55b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 1305,\n \"license_type\": \"no_license\",\n \"max_line_length\": 115,\n \"num_lines\": 51,\n \"path\": \"/FrontEnd_Sel_Testing/ToDoSelenium/src/com/test/ToDoTest.java\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package com.test;\\n\\nimport org.testng.annotations.Test;\\n\\nimport com.pages.main.Initialize;\\nimport com.pages.main.ToDoMainPage;\\n\\nimport org.testng.annotations.BeforeClass;\\nimport org.testng.annotations.Parameters;\\nimport org.openqa.selenium.JavascriptExecutor;\\nimport org.testng.annotations.AfterClass;\\n\\n/******************************************************************************************************************\\nTest Case: To Do List Sanity\\n\\nMODIFICATION LOG\\n11/29/2018\\t\\t\\t\\t\\tInitial Development\\t\\t\\t\\t\\tShraddha\\n******************************************************************************************************************/\\n\\n@Test(groups = { \\\"mats\\\" })\\npublic class ToDoTest extends Initialize\\n{\\n\\t@BeforeClass\\n\\t@Parameters({\\\"browser\\\", \\\"platform\\\"})\\n\\tpublic void beforeClass(String browser, String platform) \\n\\t{\\n\\t\\t//Change to @Parameters to be passed from testng.xml\\n\\t\\tinit(browser,platform);\\n\\t}\\n\\t\\n\\tpublic void createLocationAlias() \\n\\t{\\n\\t\\twdObj.get(propObj.getProperty(\\\"app_url\\\"));\\n\\t\\twdObj.manage().window().maximize();\\n\\t\\t((JavascriptExecutor) wdObj).executeScript(\\\"window.focus();\\\");\\n\\t\\t\\n\\t\\tToDoMainPage pgObj = new ToDoMainPage(wdObj);\\n\\t\\t\\n\\t\\tpgObj.setText(\\\"Testing\\\");\\n\\t\\tpgObj.clickTaskdelete();\\n\\t\\tpgObj.clickAdd();\\n\\t\\t\\n\\t}\\n\\n\\t\\n\\t@AfterClass(alwaysRun=true)\\n\\tpublic void afterClass() \\n\\t{\\t\\t\\n\\t\\texitTest();\\n\\t}\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.7018633484840393,\n \"alphanum_fraction\": 0.8260869383811951,\n \"avg_line_length\": 22.14285659790039,\n \"blob_id\": \"f82b55023f658a62ab50ede881d8d05453340c2f\",\n \"content_id\": \"6e594efd0687e27defc9c413a1d3b7cd874044bf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 161,\n \"license_type\": \"no_license\",\n \"max_line_length\": 48,\n \"num_lines\": 7,\n \"path\": \"/FrontEnd_Sel_Testing/ToDoSelenium/src/config/console.properties\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"email_host=slc07ibo.us.oracle.com\\nscanner_host=slcn17vmf0062.c9dev1.oraclecorp.com\\nsmtp_port=465\\nimap_port=993\\nscanner_port=1344\\nuser=esscsadmin@esscsora.com\\npassword=Welcome1\"\n },\n {\n \"alpha_fraction\": 0.40458938479423523,\n \"alphanum_fraction\": 0.4227053225040436,\n \"avg_line_length\": 24.090909957885742,\n \"blob_id\": \"d1c16a9719ab013b812489651a40cb3781c9ee63\",\n \"content_id\": \"da0643c950bfda28fde6748ceb247834d09360fc\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 828,\n \"license_type\": \"no_license\",\n \"max_line_length\": 79,\n \"num_lines\": 33,\n \"path\": \"/todolist/src/Car.js\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import React, {Component} from 'react';\\nclass CarRestDisplay extends Component{\\n constructor(props){\\n super(props);\\n this.state={\\n data: []\\n };\\n }\\n \\n componentDidMount(){\\n const this_reference = this;\\n fetch('http://152.46.17.4:8080/pyapi/cars')\\n .then(results => {return results.json();})\\n .then(jsonData => {\\n this.setState({data: jsonData});\\n })\\n }\\n \\n render(){\\n return(\\n <div>\\n {this.state.data.map(\\n (data,index) => (\\n <div>\\n {data.company} <br/>{data.model}<br/>{data.price}<hr/>\\n </div>\\n )\\n )}\\n </div>\\n )\\n }\\n} \\nexport default CarRestDisplay;\\n\"\n },\n {\n \"alpha_fraction\": 0.7192474603652954,\n \"alphanum_fraction\": 0.730824887752533,\n \"avg_line_length\": 16.274999618530273,\n \"blob_id\": \"445730bf5581817ae4276ff218ed085a5ffc9515\",\n \"content_id\": \"7c483f7443e1bb2b17015d58c2daac3b748a2b00\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 691,\n \"license_type\": \"no_license\",\n \"max_line_length\": 68,\n \"num_lines\": 40,\n \"path\": \"/README.md\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Python backend\\n\\n### API reference\\n\\nClasses and attributes:\\n\\n1. Car \\nGET: pyapi/cars \\nAttributes: company (text), model (text), price (integer) \\n \\n2. Article \\nGET: pyapi/articles \\nAttributes: title(text), author(text), article(text) \\n\\n3. ImageTable \\nGET: pyapi/images \\nAttributes: image_alt_text (text), image_url(text) \\n\\n4. Admin\\nAccess: /admin\\n\\n### Installation steps\\nEnsure Django and DRF are installed: \\n\\n`pip install Django`\\n\\n`pip install djangorestframework`\\n\\nMake migrations:\\n\\n`python3 manage.py makemigrations`\\n`python3 manage.py migrate`\\n\\nCreate superuser:\\n\\n`python3 manage.py createsuperuser --email a@a.com --username admin`\\n\\nrunserver: \\n\\n`python3 manage.py runserver`\\n\"\n },\n {\n \"alpha_fraction\": 0.5674931406974792,\n \"alphanum_fraction\": 0.5674931406974792,\n \"avg_line_length\": 29.25,\n \"blob_id\": \"652c6b64509cc7674b787c041e87ef1ede6d2e90\",\n \"content_id\": \"834f161a20fe9a616c90978706ab383dd7bba113\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 363,\n \"license_type\": \"no_license\",\n \"max_line_length\": 98,\n \"num_lines\": 12,\n \"path\": \"/todolist/src/Task.js\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import React from 'react';\\nclass Task extends React.Component{\\n render() {\\n return (\\n <div>\\n <input type='text' className=\\\"TaskContent\\\" value={this.props.taskcontent}></input>\\n <button className=\\\"TaskDelete\\\" onClick={this.props.taskdelete}> x </button>\\n </div>\\n );\\n }\\n}\\nexport default Task;\\n\"\n },\n {\n \"alpha_fraction\": 0.7214285731315613,\n \"alphanum_fraction\": 0.7357142567634583,\n \"avg_line_length\": 20.538461685180664,\n \"blob_id\": \"17c13b037f78a7dbc4e14a86c29f7a6222b5c2ea\",\n \"content_id\": \"d78da8a733ff5c700717b54aa84d736c500780bb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 280,\n \"license_type\": \"no_license\",\n \"max_line_length\": 68,\n \"num_lines\": 13,\n \"path\": \"/todolist/README.md\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# React ToDoList app\\nA simple to do list that allows adding, editing and deleting tasks. \\n\\n### Run \\nGoto the src folder and run:\\n`npm start`\\nWill run the program at port 3000\\n\\n### Installation\\n`sudo apt-get install nodejs npm`\\n\\nIf you get a node_modules error, run:\\n`npm install`\\n\"\n },\n {\n \"alpha_fraction\": 0.7584951519966125,\n \"alphanum_fraction\": 0.8143203854560852,\n \"avg_line_length\": 33.33333206176758,\n \"blob_id\": \"8d2417b632db36e8a14af5b235f13bbc2e5bb761\",\n \"content_id\": \"9c1449f7c83b9cd12da2e167ca336c032ae62fec\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 824,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 24,\n \"path\": \"/FrontEnd_Sel_Testing/ToDoSelenium/src/config/test.properties\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"app_url=localhost:3000\\napp_host=slc14sav.us.oracle.com\\ndefault_admin=weblogic\\ncodecoverage=true\\ndefault_admin_pwd=welcome1\\ndefault_power=test_power\\ndefault_power_pwd=welcome1\\ndownload_path=C:\\\\\\\\test\\ndriver_path=D:/pltfrm_wrkspc/SelAuto/driver\\nsv_path=C:\\\\\\\\Users\\\\\\\\prachauh\\\\\\\\Desktop\\\\\\\\main\\\\\\\\EssCS_12c\\\\\\\\SVPlay\\nhost=slc12fze.us.oracle.com\\nfirefox_path=Macintosh HD\\\\u2069 \\\\u25B8 \\\\u2068Applications\\\\u2069\\nhost_user=prachauh\\nhost_pwd=Systest13#\\nmw_home=/scratch/prachauh/12esscs\\ncli_loc=/scratch/prachauh/12esscs/dist/bi/products/Essbase/platform/utilities/cli.zip\\nlcm_script=/net/slc12fze/scratch/scripts/lcmInitialize.sh\\ncli_script=/net/slc12fze/scratch/scripts/CLISetup.sh\\ngecko_path=geckodriver \\\\3\\ndb_host=slc12fze.us.oracle.com\\ndb_service=db7691.us.oracle.com\\ndb_port=15083\\ndb_user=prachauh2fze_biplatform\\ndb_pwd=welcome1\\n\"\n },\n {\n \"alpha_fraction\": 0.6683937907218933,\n \"alphanum_fraction\": 0.7253885865211487,\n \"avg_line_length\": 37.599998474121094,\n \"blob_id\": \"9c91b77c4e86b23764b601b5b8d61c844f34a00f\",\n \"content_id\": \"dea25d90e917e88b49f500073fa60bdabf5155d7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 193,\n \"license_type\": \"no_license\",\n \"max_line_length\": 86,\n \"num_lines\": 5,\n \"path\": \"/venv/bin/django-admin.py\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/media/varun/0DC10EF30DC10EF3/_Studies/NCSU/Sem 1/SE/react_vs_vue/venv/bin/python3.6\\nfrom django.core import management\\n\\nif __name__ == \\\"__main__\\\":\\n management.execute_from_command_line()\\n\"\n },\n {\n \"alpha_fraction\": 0.5521472096443176,\n \"alphanum_fraction\": 0.5521472096443176,\n \"avg_line_length\": 26.16666603088379,\n \"blob_id\": \"43bf9fd9eabcf0438274bde942b44b602a5ee736\",\n \"content_id\": \"1b26e5664ae91c15791775e869b50fb51942389a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 489,\n \"license_type\": \"no_license\",\n \"max_line_length\": 45,\n \"num_lines\": 18,\n \"path\": \"/todolist/src/Main.js\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import React, {Component} from 'react'\\nimport ToDoList from './ToDoList'\\nimport ArticleRestDisplay from './Article'\\nimport CarRestDisplay from './Car'\\nimport ImageRestDisplay from './Image'\\nclass Main extends Component{\\n render(){\\n return(\\n <div>\\n <ToDoList /> <hr />\\n <ArticleRestDisplay /> <hr />\\n <CarRestDisplay /> <hr />\\n <ImageRestDisplay />\\n </div> \\n );\\n }\\n}\\nexport default Main;\\n\"\n },\n {\n \"alpha_fraction\": 0.6943573951721191,\n \"alphanum_fraction\": 0.6943573951721191,\n \"avg_line_length\": 23.538461685180664,\n \"blob_id\": \"5f20ed8a784d5dbc9fc38e79d4a840c165b85d3d\",\n \"content_id\": \"c606070b5fed38bb955fc627e2d2268c8522dcd4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 638,\n \"license_type\": \"no_license\",\n \"max_line_length\": 43,\n \"num_lines\": 26,\n \"path\": \"/pybackend/pyapi/models.py\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.db import models\\n\\n# Create your models here.\\n\\n\\nclass Article(models.Model):\\n # Simulate large text parts\\n title = models.TextField()\\n author = models.TextField()\\n article = models.TextField()\\n ID = models.AutoField(primary_key=True)\\n\\n\\nclass Car(models.Model):\\n # Simulate a form\\n company = models.TextField()\\n model = models.TextField()\\n price = models.BigIntegerField()\\n ID = models.AutoField(primary_key=True)\\n\\n\\nclass ImageTable(models.Model):\\n # Simulate image rendering\\n image_alt_text = models.TextField()\\n image_url = models.TextField()\\n ID = models.AutoField(primary_key=True)\\n\"\n },\n {\n \"alpha_fraction\": 0.5194507837295532,\n \"alphanum_fraction\": 0.5903890132904053,\n \"avg_line_length\": 22,\n \"blob_id\": \"630fe68d4e3df5b2dca223edc6a2053fcf2285eb\",\n \"content_id\": \"16fb7a36552a8429e901e11cd7abce86f6a7f307\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 437,\n \"license_type\": \"no_license\",\n \"max_line_length\": 57,\n \"num_lines\": 19,\n \"path\": \"/pybackend/pyapi/migrations/0003_imagetable_image_alt_text.py\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.1.3 on 2018-11-25 01:44\\n\\nfrom django.db import migrations, models\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('pyapi', '0002_auto_20181125_0133'),\\n ]\\n\\n operations = [\\n migrations.AddField(\\n model_name='imagetable',\\n name='image_alt_text',\\n field=models.TextField(default='sadffassdf'),\\n preserve_default=False,\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.7862318754196167,\n \"alphanum_fraction\": 0.804347813129425,\n \"avg_line_length\": 24.18181800842285,\n \"blob_id\": \"9b3eeaebab5300a6c3c0b9230a5a798f08f6d14f\",\n \"content_id\": \"620ddbc533d5411135bf21b970d1f8980116ead2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 276,\n \"license_type\": \"no_license\",\n \"max_line_length\": 43,\n \"num_lines\": 11,\n \"path\": \"/ToDoSelenium/src/config/test.properties\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"app_url=http://localhost:8080/#/todo\\n\\ndefault_admin=weblogic\\ncodecoverage=true\\ndefault_admin_pwd=welcome1\\ndefault_power=test_power\\ndefault_power_pwd=welcome1\\ndownload_path=C:\\\\\\\\test\\ndriver_path=D:/pltfrm_wrkspc/SelAuto/driver\\nfirefox_path=FFX_PATH\\ngecko_path=geckodriver\\\\ 3\"\n },\n {\n \"alpha_fraction\": 0.39168110489845276,\n \"alphanum_fraction\": 0.4090121388435364,\n \"avg_line_length\": 26.4761905670166,\n \"blob_id\": \"a10db0077843b195951ad4afc27269cb3b5a5e44\",\n \"content_id\": \"a5bde9898b3cb71549599dc49b659c621b63fd9b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 1154,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 42,\n \"path\": \"/todolist/src/Article.js\",\n \"repo_name\": \"kartikcr/React_vs_Vue_vs_Angular\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import React, {Component} from 'react';\\nclass ArticleRestDisplay extends Component{\\n constructor(props){\\n super(props);\\n this.state={\\n data: [],\\n count: 0\\n };\\n }\\n \\n componentDidMount(){\\n const this_reference = this;\\n fetch('http://152.46.17.4:8080/pyapi/articles')\\n .then(results => {return results.json();})\\n .then(jsonData => {\\n this.setState({data: jsonData});\\n })\\n }\\n\\n newName(data){\\n return \\\"article_\\\"+data+\\\"_\\\"+this.state.count;\\n }\\n \\n render(){\\n return(\\n <div>\\n {this.state.data.map(\\n (data,index) => (\\n <div>\\n <h1 id={\\\"A\\\"+data.ID+\\\"_title\\\"}> {data.title} </h1>\\n <br/>\\n <h2 id={\\\"A\\\"+data.ID+\\\"_author\\\"}>{data.author}</h2>\\n <br/>\\n <span id={\\\"A\\\"+data.ID+\\\"_article\\\"}>{data.article}</span><hr/>\\n </div>\\n )\\n )}\\n </div>\\n )\\n }\\n} \\nexport default ArticleRestDisplay;\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":20,"string":"20"}}},{"rowIdx":2984166,"cells":{"repo_name":{"kind":"string","value":"FredyCerron93/SOM"},"repo_url":{"kind":"string","value":"https://github.com/FredyCerron93/SOM"},"snapshot_id":{"kind":"string","value":"d583bcd0a4b515a3742b83d4fd71e5ee42c57ef0"},"revision_id":{"kind":"string","value":"2307265802647e3d2924097f31f256746311a606"},"directory_id":{"kind":"string","value":"5fd3cf4d39b6404b3032af5b8083f0806956c97b"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-01-21T01:18:30.448413","string":"2023-01-21T01:18:30.448413"},"revision_date":{"kind":"timestamp","value":"2020-11-29T16:53:50","string":"2020-11-29T16:53:50"},"committer_date":{"kind":"timestamp","value":"2020-11-29T16:53:50","string":"2020-11-29T16:53:50"},"github_id":{"kind":"number","value":316997771,"string":"316,997,771"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6373056769371033,"alphanum_fraction":0.6459412574768066,"avg_line_length":18.965517044067383,"blob_id":"532933831189c69e15d64c3e8e12c464280af0b3","content_id":"9824ba9d84afc8fd0747dc405ca03fedb7cc4b59","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":579,"license_type":"no_license","max_line_length":61,"num_lines":29,"path":"/src/neuron.py","repo_name":"FredyCerron93/SOM","src_encoding":"UTF-8","text":"import numpy as np\n\nfrom distance import select_closest\n\ndef generate_network(size):\n\n return np.random.rand(size, 2)\n\ndef get_neighborhood(center, radix, domain):\n\n\n\n if radix < 1:\n radix = 1\n\n\n deltas = np.absolute(center - np.arange(domain))\n distances = np.minimum(deltas, domain - deltas)\n\n\n return np.exp(-(distances*distances) / (2*(radix*radix)))\n\ndef get_route(cities, network):\n\n cities['winner'] = cities[['x', 'y']].apply(\n lambda c: select_closest(network, c),\n axis=1, raw=True)\n\n return cities.sort_values('winner').index\n"},{"alpha_fraction":0.6875,"alphanum_fraction":0.6960227489471436,"avg_line_length":28.33333396911621,"blob_id":"096f6dcf88b516697299fe059c75eaa8c8f5f24a","content_id":"bc68e82c1fc50be0de8971146c9daf073149ed52","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":352,"license_type":"no_license","max_line_length":70,"num_lines":12,"path":"/src/distance.py","repo_name":"FredyCerron93/SOM","src_encoding":"UTF-8","text":"import numpy as np\n\ndef select_closest(candidates, origin):\n return euclidean_distance(candidates, origin).argmin()\n\ndef euclidean_distance(a, b):\n return np.linalg.norm(a - b, axis=1)\n\ndef route_distance(cities):\n points = cities[['x', 'y']]\n distances = euclidean_distance(points, np.roll(points, 1, axis=0))\n return np.sum(distances)\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6373056769371033,\n \"alphanum_fraction\": 0.6459412574768066,\n \"avg_line_length\": 18.965517044067383,\n \"blob_id\": \"532933831189c69e15d64c3e8e12c464280af0b3\",\n \"content_id\": \"9824ba9d84afc8fd0747dc405ca03fedb7cc4b59\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 579,\n \"license_type\": \"no_license\",\n \"max_line_length\": 61,\n \"num_lines\": 29,\n \"path\": \"/src/neuron.py\",\n \"repo_name\": \"FredyCerron93/SOM\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\n\\nfrom distance import select_closest\\n\\ndef generate_network(size):\\n\\n return np.random.rand(size, 2)\\n\\ndef get_neighborhood(center, radix, domain):\\n\\n\\n\\n if radix < 1:\\n radix = 1\\n\\n\\n deltas = np.absolute(center - np.arange(domain))\\n distances = np.minimum(deltas, domain - deltas)\\n\\n\\n return np.exp(-(distances*distances) / (2*(radix*radix)))\\n\\ndef get_route(cities, network):\\n\\n cities['winner'] = cities[['x', 'y']].apply(\\n lambda c: select_closest(network, c),\\n axis=1, raw=True)\\n\\n return cities.sort_values('winner').index\\n\"\n },\n {\n \"alpha_fraction\": 0.6875,\n \"alphanum_fraction\": 0.6960227489471436,\n \"avg_line_length\": 28.33333396911621,\n \"blob_id\": \"096f6dcf88b516697299fe059c75eaa8c8f5f24a\",\n \"content_id\": \"bc68e82c1fc50be0de8971146c9daf073149ed52\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 352,\n \"license_type\": \"no_license\",\n \"max_line_length\": 70,\n \"num_lines\": 12,\n \"path\": \"/src/distance.py\",\n \"repo_name\": \"FredyCerron93/SOM\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\n\\ndef select_closest(candidates, origin):\\n return euclidean_distance(candidates, origin).argmin()\\n\\ndef euclidean_distance(a, b):\\n return np.linalg.norm(a - b, axis=1)\\n\\ndef route_distance(cities):\\n points = cities[['x', 'y']]\\n distances = euclidean_distance(points, np.roll(points, 1, axis=0))\\n return np.sum(distances)\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2984167,"cells":{"repo_name":{"kind":"string","value":"egmjr/gaffer"},"repo_url":{"kind":"string","value":"https://github.com/egmjr/gaffer"},"snapshot_id":{"kind":"string","value":"e9c9baf9b380ea642e5b597ac0471b70aefd231f"},"revision_id":{"kind":"string","value":"dbc644255623a032cf6cf66cd594fc33d7c5c2ba"},"directory_id":{"kind":"string","value":"7d69e7fa8cfd813da03ae6b7c9933b7f89b6b8a9"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-04-03T12:00:06.089727","string":"2020-04-03T12:00:06.089727"},"revision_date":{"kind":"timestamp","value":"2018-05-25T15:42:45","string":"2018-05-25T15:42:45"},"committer_date":{"kind":"timestamp","value":"2018-05-25T15:42:45","string":"2018-05-25T15:42:45"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5322718024253845,"alphanum_fraction":0.5328404903411865,"avg_line_length":30.972726821899414,"blob_id":"9f07f9ecf93781c24b624076f9d5c023c1ad0d3b","content_id":"4323d79823d0582b62cb3ea96e194552c3890afb","detected_licenses":["LicenseRef-scancode-unknown-license-reference","Unlicense","MIT","LicenseRef-scancode-public-domain","BSD-3-Clause"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3517,"license_type":"permissive","max_line_length":78,"num_lines":110,"path":"/gaffer/cli/commands/load.py","repo_name":"egmjr/gaffer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -\n#\n# This file is part of gaffer. See the NOTICE for more information.\n\nimport os\n\nfrom .base import Command\nfrom ...httpclient import GafferConflict\nfrom ...process import ProcessConfig\n\n\nclass Load(Command):\n \"\"\"\n usage: gaffer load [-c concurrency|--concurrency concurrency]...\n [--nostart]\n [--app APP] [<file>]\n\n Args\n\n <file> Path to a job configuration or stdin ``-``\n Options\n\n -h, --help\n -c concurrency,--concurrency concurrency Specify the number processes\n to run.\n --nostart Don't start jobs execution\n --app APP application name\n \"\"\"\n\n name = \"load\"\n short_descr = \"load a Procfile application\"\n\n def run(self, config, args):\n if args['<file>']:\n self.load_file(config, args)\n elif config.use_procfile:\n self.load_procfile(config, args)\n else:\n raise RuntimeError(\"procfile or job file is missing\")\n\n def load_file(self, config, args):\n fname = args['<file>']\n server = config.get(\"server\")\n\n # default parameter for start\n start_default = not args[\"--nostart\"]\n\n # load configs\n configs = self.load_jsonconfig(fname)\n\n for conf in configs:\n try:\n name = conf.pop('name')\n cmd = conf.pop('cmd')\n except KeyError:\n raise ValueError(\"invalid job config\")\n\n # parse job name and eventually extract the appname\n appname, name = self.parse_name(name, self.default_appname(config,\n args))\n\n # always force the appname if specified\n if args['--app']:\n appname = args['--app']\n\n start = conf.get('start', start_default)\n\n # finally load the config\n pname = \"%s.%s\" % (appname, name)\n pconfig = ProcessConfig(name, cmd, **conf)\n try:\n server.load(pconfig, sessionid=appname, start=start)\n print(\"%r has been loaded in %s\" % (pname, server.uri))\n except GafferConflict:\n print(\"%r already loaded\" % pname)\n\n print(\"%r has been loaded\" % fname)\n\n def load_procfile(self, config, args):\n procfile, server = config.get(\"procfile\", \"server\")\n appname = self.default_appname(config, args)\n\n start = True\n if args[\"--nostart\"]:\n start = False\n\n # parse the concurrency settings\n concurrency = self.parse_concurrency(args)\n\n # finally send the processes\n for name, cmd_str in procfile.processes():\n if name in procfile.redirect_input:\n redirect_input = True\n else:\n redirect_input = False\n\n cmd, args = procfile.parse_cmd(cmd_str)\n params = dict(args=args, env=procfile.env,\n numprocesses=concurrency.get(name, 1),\n redirect_output=['out', 'err'],\n redirect_input=redirect_input,\n cwd=os.path.abspath(procfile.root))\n\n config = ProcessConfig(name, cmd, **params)\n try:\n server.load(config, sessionid=appname, start=start)\n except GafferConflict:\n print(\"%r already loaded\" % name)\n\n print(\"==> %r has been loaded in %s\" % (appname, server.uri))\n"},{"alpha_fraction":0.5805218815803528,"alphanum_fraction":0.5836795568466187,"avg_line_length":32.614524841308594,"blob_id":"907cc944c6daa07f77af3ca4c3664a1cf3bdc210","content_id":"aa418d003cb07e8bf1eb7c1f0072ecde6612a9d5","detected_licenses":["LicenseRef-scancode-unknown-license-reference","Unlicense","MIT","LicenseRef-scancode-public-domain","BSD-3-Clause"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6017,"license_type":"permissive","max_line_length":78,"num_lines":179,"path":"/gaffer/httpclient/server.py","repo_name":"egmjr/gaffer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -\n#\n# This file is part of gaffer. See the NOTICE for more information.\n\nimport base64\nimport json\n\nfrom ..process import ProcessConfig\nfrom ..util import is_ssl, parse_ssl_options\nfrom .base import BaseClient\nfrom .process import Process\nfrom .job import Job\nfrom .util import make_uri\nfrom .websocket import GafferSocket\n\n\nclass Server(BaseClient):\n \"\"\" Server, main object to connect to a gaffer node. Most of the\n calls are blocking. (but running in the loop) \"\"\"\n\n def __init__(self, uri, loop=None, api_key=None, **options):\n super(Server, self).__init__(uri, loop=loop, **options)\n self.api_key = api_key\n\n def request(self, method, path, headers=None, body=None, **params):\n headers = headers or {}\n # if we have an api key, pass it to the headers\n if self.api_key is not None:\n headers['X-Api-Key'] = self.api_key\n\n # continue the request\n return super(Server, self).request(method, path, headers=headers,\n body=body, **params)\n\n def authenticate(self, username, password):\n \"\"\" authenticate against a gafferd node to retrieve an api key \"\"\"\n # set the basic auth header\n auth_hdr = \"%s:%s\" % (username, password)\n auth_hdr = b\"Basic \" + base64.b64encode(auth_hdr.encode(\"utf-8\"))\n headers = {\"Authorization\": auth_hdr.decode(\"utf-8\")}\n\n # make the request\n resp = self.request(\"get\", \"/auth\", headers=headers)\n\n # set the server api key\n self.api_key = self.json_body(resp)[\"api_key\"]\n\n # return the api key. useful for clients that store it for later.\n return self.api_key\n\n @property\n def version(self):\n \"\"\" get gaffer version \"\"\"\n resp = self.request(\"get\", \"/\")\n return self.json_body(resp)['version']\n\n def running(self):\n resp = self.request(\"get\", \"/pids\")\n return self.json_body(resp)['pids']\n\n pids = running\n\n def ping(self):\n resp = self.request(\"get\", \"/ping\")\n return resp.body == b'OK'\n\n def sessions(self):\n \"\"\" get list of current sessions \"\"\"\n resp = self.request(\"get\", \"/sessions\")\n obj = self.json_body(resp)\n return obj['sessions']\n\n def jobs(self, sessionid=None):\n if sessionid is None:\n resp = self.request(\"get\", \"/jobs\")\n else:\n resp = self.request(\"get\", \"/jobs/%s\" % sessionid)\n\n return self.json_body(resp)[\"jobs\"]\n\n def jobs_walk(self, callback, sessionid=None):\n jobs = self.jobs(sessionid)\n for job in jobs:\n sessionid, name = self._parse_name(job)\n callback(self, Job(self, config=name, sessionid=sessionid))\n\n def job_exists(self, name):\n sessionid, name = self._parse_name(name)\n resp = self.request(\"head\", \"/jobs/%s/%s\" % (sessionid, name))\n if resp.code == 200:\n return True\n return False\n\n\n def load(self, config, sessionid=None, start=True, force=False):\n \"\"\" load a process config object.\n\n Args:\n\n - **config**: dict or a ``process.ProcessConfig`` instance\n - **sessionid**: Some processes only make sense in certain contexts.\n this flag instructs gaffer to maintain this process in the sessionid\n context. A context can be for example an application. If no session\n is specified the config will be attached to the ``default`` session.\n - **start**: This flag instructs gaffer to start the loaded process.\n \"\"\"\n\n sessionid = self._sessionid(sessionid)\n headers = {\"Content-Type\": \"application/json\" }\n\n # build config body\n config_dict = config.to_dict()\n config_dict.update({'start': start})\n body = json.dumps(config_dict)\n\n name = \"%s.%s\" % (sessionid, config.name)\n\n if force:\n if self.job_exists(name):\n self.request(\"put\", \"/jobs/%s/%s\" % (sessionid, config.name),\n body=body, headers=headers)\n else:\n self.request(\"post\", \"/jobs/%s\" % sessionid, body=body,\n headers=headers)\n else:\n self.request(\"post\", \"/jobs/%s\" % sessionid, body=body,\n headers=headers)\n\n return Job(server=self, config=config, sessionid=sessionid)\n\n def unload(self, name, sessionid=None):\n sessionid = self._sessionid(sessionid)\n self.request(\"delete\", \"/jobs/%s/%s\" % (sessionid, name))\n return True\n\n def reload(self, name, sessionid=None):\n sessionid = self._sessionid(sessionid)\n self.request(\"post\", \"/jobs/%s/%s/state\" % (sessionid, name),\n body=\"2\")\n return True\n\n def get_job(self, name):\n sessionid, name = self._parse_name(name)\n resp = self.request(\"get\", \"/jobs/%s/%s\" % (sessionid, name))\n config_dict = self.json_body(resp)['config']\n return Job(server=self, config=ProcessConfig.from_dict(config_dict),\n sessionid=sessionid)\n\n def get_process(self, pid):\n return Process(server=self, pid=pid)\n\n def socket(self, heartbeat=None):\n \"\"\" return a direct websocket connection to gaffer \"\"\"\n url0 = make_uri(self.uri, '/channel/websocket')\n url = \"ws%s\" % url0.split(\"http\", 1)[1]\n\n options = {}\n if heartbeat and heartbeat is not None:\n options['heartbeat'] = heartbeat\n\n if is_ssl(url):\n options['ssl_options'] = parse_ssl_options(self.options)\n\n return GafferSocket(self.loop, url, api_key=self.api_key, **options)\n\n def _parse_name(self, name):\n if \".\" in name:\n sessionid, name = name.split(\".\", 1)\n elif \"/\" in name:\n sessionid, name = name.split(\"/\", 1)\n else:\n sessionid = \"default\"\n\n return sessionid, name\n\n def _sessionid(self, session=None):\n if not session:\n return \"default\"\n return session\n"},{"alpha_fraction":0.6941870450973511,"alphanum_fraction":0.7064027190208435,"avg_line_length":29.81818199157715,"blob_id":"1b64ff2e837cdcbae258981d3791da3f23d8fec4","content_id":"779b6a432649f159e5bc474386a991aa2f4f5ea3","detected_licenses":["LicenseRef-scancode-unknown-license-reference","Unlicense","MIT","LicenseRef-scancode-public-domain","BSD-3-Clause"],"is_generated":false,"is_vendor":false,"language":"reStructuredText","length_bytes":2374,"license_type":"permissive","max_line_length":84,"num_lines":77,"path":"/docs/index.rst","repo_name":"egmjr/gaffer","src_encoding":"UTF-8","text":".. gaffer documentation master file, created by\n sphinx-quickstart on Tue Oct 9 21:10:46 2012.\n You can adapt this file completely to your liking, but it should at least\n contain the root `toctree` directive.\n\nWelcome to gaffer's documentation!\n==================================\n\nGaffer\n======\n\nControl, Watch and Launch your applications and jobs over HTTP.\n\nGaffer is a set of Python modules and tools to easily maintain and\ninteract with your applications or jobs launched on different machines over\nHTTP and websockets.\n\nIt promotes distributed and decentralized topologies without single points of\nfailure, enabling fault tolerance and high availability.\n\n.. raw:: html\n\n <iframe src=\"http://player.vimeo.com/video/51674172\" width=\"500\"\n height=\"163\" frameborder=\"0\" webkitAllowFullScreen\n mozallowfullscreen allowFullScreen></iframe>\n\nFeatures\n--------\n\n - RESTful HTTP Api\n - Websockets and `SOCKJS <http://sockjs.org>`_ support to interact with\n a gaffer node from any browser or SOCKJS client.\n - Framework to manage and interact your applications and jobs on\n differerent machines\n - Server and :doc:`command-line` tools to manage and interract with your\n processes\n - manages topology information. Clients query gaffer_lookupd to discover\n gaffer nodes for a specific job or application.\n - Possibility to interact with STDIO and PIPES to interact with your\n applications and processes\n - Subscribe to process statistics per process or process templates\n and get them in quasi RT.\n - Procfile applications support (see :doc:`gaffer`) but also JSON config\n support.\n - Supervisor-like features.\n - Fully evented. Use the libuv event loop using the\n `pyuv library <https://pyuv.readthedocs.io>`_\n - Flapping: handle cases where your processes crash too much\n - Easily extensible: add your own endpoint, create your client,\n embed gaffer in your application, ...\n - Compatible with python 2.7x, 3.x\n\n.. note::\n gaffer source code is hosted on `Github <http://github.com/benoitc/gaffer.git>`_\n\nContents:\n---------\n\n.. toctree::\n :titlesonly:\n\n getting-started\n overview\n news\n command-line\n http\n webhooks\n processframework\n httpclient\n applications\n\nIndices and tables\n==================\n\n* :ref:`genindex`\n* :ref:`modindex`\n* :ref:`search`\n\n"},{"alpha_fraction":0.5728984475135803,"alphanum_fraction":0.5783712863922119,"avg_line_length":31.39716339111328,"blob_id":"0ff5e97404e89a04c9b961273329cac043bc6d1b","content_id":"ae2af22b45d51e3cbb96ba283850b549f895a75f","detected_licenses":["LicenseRef-scancode-unknown-license-reference","Unlicense","MIT","LicenseRef-scancode-public-domain","BSD-3-Clause"],"is_generated":false,"is_vendor":false,"language":"reStructuredText","length_bytes":4568,"license_type":"permissive","max_line_length":79,"num_lines":141,"path":"/docs/gaffer.rst","repo_name":"egmjr/gaffer","src_encoding":"UTF-8","text":".. _gaffer:\n\nGaffer\n======\n\nThe **gaffer** command line tool is an interface to the :doc:`gaffer\nHTTP api <http>` and include support for loading/unloading Procfile\napplications, scaling them up and down, ... .\n\nIt can also be used as a manager for Procfile-based applications similar to\nforeman but using the :doc:`gaffer framework <processframework>`. It is\nrunning your application directly using a Procfile or export it to a\ngafferd configuration file or simply to a JSON file that you could send\nto gafferd using the :doc:`HTTP api <http>`.\n\nExample of use\n--------------\n\nFor example using the following **Procfile**::\n\n dummy: python -u dummy_basic.py\n dummy1: python -u dummy_basic.py\n\n\nYou can launch all the programs in this procfile using the following\ncommand line::\n\n $ gaffer start\n\n\n.. image:: _static/gafferp.png\n\n\nOr load them on a gaffer node::\n\n $ gaffer load\n\nand then scale them up and down::\n\n $ gaffer scale dummy=3 dummy1+2\n Scaling dummy processes... done, now running 3\n Scaling dummy1 processes... done, now running 3\n\n\n.. image:: _static/gaffer_ps.png\n\nOPTIONS\n-------\n\n -h --help show this help message and exit\n --version show version and exit\n -f procfile,--procfile procfile Specify an alternate Procfile to load\n -d root,--directory root Specify an alternate application root\n This defaults to the directory\n containing the Procfile [default: .]\n -e k=v,--env k=v Specify one or more .env files to load\n --endpoint endpoint gafferd node URL to connect\n [default: http://127.0.0.1:5000]\n\n\nSUBCOMMANDS\n-----------\n\n **export** [-c concurrency|--concurrency concurrency]\n [--format=format] [--out=filename] [<name>]\n\n Export a Procfile\n\n This command export a Procfile to a gafferd process settings\n format. It can be either a JSON that you could send to gafferd\n via the JSON API or an ini file that can be included to the\n gafferd configuration.\n\n <format> ini or json\n --out=filename path of filename where the export will be saved\n\n **load** [-c concurrency|--concurrency concurrency] [--nostart] [<name>]\n Load a Procfile application to gafferd\n\n <name> is the name of the application recorded in\n gafferd. By default it will be the name of your\n project folder.You can use ``.`` to specify the current\n folder.\n\n **ps** [<appname>]\n List your processes informations\n\n <appname> he name of the application (session) of process\n recoreded in gafferd. By default it will be the name of your\n project folder.You can use ``.`` to specify the current\n folder.\n\n **run** [-c] [<args>]...\n Run one-off commands using the same environment as your\n defined processes\n\n -c concurrency\n Specify the number of each process type to run. The value\n passed in should be in the format process=num,process=num\n --concurrency concurrency\n same as the -c option.\n\n **scale** [<appname>] [process=value]...\n Scaling your process\n\n Procfile applications can scale up or down instantly from the\n command line or API.\n\n Scaling a process in an application is done using the scale\n command:\n\n ::\n\n $ gaffer scale dummy=3\n Scaling dummy processes... done, now running 3\n\n\n Or both at once:\n\n ::\n\n $ gaffer scale dummy=3 dummy1+2\n Scaling dummy processes... done, now running 3\n Scaling dummy1 processes... done, now running 3\n\n\n\n\n **start** [-c concurrency|--concurrency concurrency]\n\n Start a process type or all process types from the Procfile.\n\n -c concurrency\n Specify the number of each process type to run. The value\n passed in should be in the format process=num,process=num\n --concurrency concurrency\n same as the -c option.\n\n\n **unload** [<name>]\n Unload a Procfile application from a gafferd node\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5322718024253845,\n \"alphanum_fraction\": 0.5328404903411865,\n \"avg_line_length\": 30.972726821899414,\n \"blob_id\": \"9f07f9ecf93781c24b624076f9d5c023c1ad0d3b\",\n \"content_id\": \"4323d79823d0582b62cb3ea96e194552c3890afb\",\n \"detected_licenses\": [\n \"LicenseRef-scancode-unknown-license-reference\",\n \"Unlicense\",\n \"MIT\",\n \"LicenseRef-scancode-public-domain\",\n \"BSD-3-Clause\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3517,\n \"license_type\": \"permissive\",\n \"max_line_length\": 78,\n \"num_lines\": 110,\n \"path\": \"/gaffer/cli/commands/load.py\",\n \"repo_name\": \"egmjr/gaffer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -\\n#\\n# This file is part of gaffer. See the NOTICE for more information.\\n\\nimport os\\n\\nfrom .base import Command\\nfrom ...httpclient import GafferConflict\\nfrom ...process import ProcessConfig\\n\\n\\nclass Load(Command):\\n \\\"\\\"\\\"\\n usage: gaffer load [-c concurrency|--concurrency concurrency]...\\n [--nostart]\\n [--app APP] [<file>]\\n\\n Args\\n\\n <file> Path to a job configuration or stdin ``-``\\n Options\\n\\n -h, --help\\n -c concurrency,--concurrency concurrency Specify the number processes\\n to run.\\n --nostart Don't start jobs execution\\n --app APP application name\\n \\\"\\\"\\\"\\n\\n name = \\\"load\\\"\\n short_descr = \\\"load a Procfile application\\\"\\n\\n def run(self, config, args):\\n if args['<file>']:\\n self.load_file(config, args)\\n elif config.use_procfile:\\n self.load_procfile(config, args)\\n else:\\n raise RuntimeError(\\\"procfile or job file is missing\\\")\\n\\n def load_file(self, config, args):\\n fname = args['<file>']\\n server = config.get(\\\"server\\\")\\n\\n # default parameter for start\\n start_default = not args[\\\"--nostart\\\"]\\n\\n # load configs\\n configs = self.load_jsonconfig(fname)\\n\\n for conf in configs:\\n try:\\n name = conf.pop('name')\\n cmd = conf.pop('cmd')\\n except KeyError:\\n raise ValueError(\\\"invalid job config\\\")\\n\\n # parse job name and eventually extract the appname\\n appname, name = self.parse_name(name, self.default_appname(config,\\n args))\\n\\n # always force the appname if specified\\n if args['--app']:\\n appname = args['--app']\\n\\n start = conf.get('start', start_default)\\n\\n # finally load the config\\n pname = \\\"%s.%s\\\" % (appname, name)\\n pconfig = ProcessConfig(name, cmd, **conf)\\n try:\\n server.load(pconfig, sessionid=appname, start=start)\\n print(\\\"%r has been loaded in %s\\\" % (pname, server.uri))\\n except GafferConflict:\\n print(\\\"%r already loaded\\\" % pname)\\n\\n print(\\\"%r has been loaded\\\" % fname)\\n\\n def load_procfile(self, config, args):\\n procfile, server = config.get(\\\"procfile\\\", \\\"server\\\")\\n appname = self.default_appname(config, args)\\n\\n start = True\\n if args[\\\"--nostart\\\"]:\\n start = False\\n\\n # parse the concurrency settings\\n concurrency = self.parse_concurrency(args)\\n\\n # finally send the processes\\n for name, cmd_str in procfile.processes():\\n if name in procfile.redirect_input:\\n redirect_input = True\\n else:\\n redirect_input = False\\n\\n cmd, args = procfile.parse_cmd(cmd_str)\\n params = dict(args=args, env=procfile.env,\\n numprocesses=concurrency.get(name, 1),\\n redirect_output=['out', 'err'],\\n redirect_input=redirect_input,\\n cwd=os.path.abspath(procfile.root))\\n\\n config = ProcessConfig(name, cmd, **params)\\n try:\\n server.load(config, sessionid=appname, start=start)\\n except GafferConflict:\\n print(\\\"%r already loaded\\\" % name)\\n\\n print(\\\"==> %r has been loaded in %s\\\" % (appname, server.uri))\\n\"\n },\n {\n \"alpha_fraction\": 0.5805218815803528,\n \"alphanum_fraction\": 0.5836795568466187,\n \"avg_line_length\": 32.614524841308594,\n \"blob_id\": \"907cc944c6daa07f77af3ca4c3664a1cf3bdc210\",\n \"content_id\": \"aa418d003cb07e8bf1eb7c1f0072ecde6612a9d5\",\n \"detected_licenses\": [\n \"LicenseRef-scancode-unknown-license-reference\",\n \"Unlicense\",\n \"MIT\",\n \"LicenseRef-scancode-public-domain\",\n \"BSD-3-Clause\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6017,\n \"license_type\": \"permissive\",\n \"max_line_length\": 78,\n \"num_lines\": 179,\n \"path\": \"/gaffer/httpclient/server.py\",\n \"repo_name\": \"egmjr/gaffer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -\\n#\\n# This file is part of gaffer. See the NOTICE for more information.\\n\\nimport base64\\nimport json\\n\\nfrom ..process import ProcessConfig\\nfrom ..util import is_ssl, parse_ssl_options\\nfrom .base import BaseClient\\nfrom .process import Process\\nfrom .job import Job\\nfrom .util import make_uri\\nfrom .websocket import GafferSocket\\n\\n\\nclass Server(BaseClient):\\n \\\"\\\"\\\" Server, main object to connect to a gaffer node. Most of the\\n calls are blocking. (but running in the loop) \\\"\\\"\\\"\\n\\n def __init__(self, uri, loop=None, api_key=None, **options):\\n super(Server, self).__init__(uri, loop=loop, **options)\\n self.api_key = api_key\\n\\n def request(self, method, path, headers=None, body=None, **params):\\n headers = headers or {}\\n # if we have an api key, pass it to the headers\\n if self.api_key is not None:\\n headers['X-Api-Key'] = self.api_key\\n\\n # continue the request\\n return super(Server, self).request(method, path, headers=headers,\\n body=body, **params)\\n\\n def authenticate(self, username, password):\\n \\\"\\\"\\\" authenticate against a gafferd node to retrieve an api key \\\"\\\"\\\"\\n # set the basic auth header\\n auth_hdr = \\\"%s:%s\\\" % (username, password)\\n auth_hdr = b\\\"Basic \\\" + base64.b64encode(auth_hdr.encode(\\\"utf-8\\\"))\\n headers = {\\\"Authorization\\\": auth_hdr.decode(\\\"utf-8\\\")}\\n\\n # make the request\\n resp = self.request(\\\"get\\\", \\\"/auth\\\", headers=headers)\\n\\n # set the server api key\\n self.api_key = self.json_body(resp)[\\\"api_key\\\"]\\n\\n # return the api key. useful for clients that store it for later.\\n return self.api_key\\n\\n @property\\n def version(self):\\n \\\"\\\"\\\" get gaffer version \\\"\\\"\\\"\\n resp = self.request(\\\"get\\\", \\\"/\\\")\\n return self.json_body(resp)['version']\\n\\n def running(self):\\n resp = self.request(\\\"get\\\", \\\"/pids\\\")\\n return self.json_body(resp)['pids']\\n\\n pids = running\\n\\n def ping(self):\\n resp = self.request(\\\"get\\\", \\\"/ping\\\")\\n return resp.body == b'OK'\\n\\n def sessions(self):\\n \\\"\\\"\\\" get list of current sessions \\\"\\\"\\\"\\n resp = self.request(\\\"get\\\", \\\"/sessions\\\")\\n obj = self.json_body(resp)\\n return obj['sessions']\\n\\n def jobs(self, sessionid=None):\\n if sessionid is None:\\n resp = self.request(\\\"get\\\", \\\"/jobs\\\")\\n else:\\n resp = self.request(\\\"get\\\", \\\"/jobs/%s\\\" % sessionid)\\n\\n return self.json_body(resp)[\\\"jobs\\\"]\\n\\n def jobs_walk(self, callback, sessionid=None):\\n jobs = self.jobs(sessionid)\\n for job in jobs:\\n sessionid, name = self._parse_name(job)\\n callback(self, Job(self, config=name, sessionid=sessionid))\\n\\n def job_exists(self, name):\\n sessionid, name = self._parse_name(name)\\n resp = self.request(\\\"head\\\", \\\"/jobs/%s/%s\\\" % (sessionid, name))\\n if resp.code == 200:\\n return True\\n return False\\n\\n\\n def load(self, config, sessionid=None, start=True, force=False):\\n \\\"\\\"\\\" load a process config object.\\n\\n Args:\\n\\n - **config**: dict or a ``process.ProcessConfig`` instance\\n - **sessionid**: Some processes only make sense in certain contexts.\\n this flag instructs gaffer to maintain this process in the sessionid\\n context. A context can be for example an application. If no session\\n is specified the config will be attached to the ``default`` session.\\n - **start**: This flag instructs gaffer to start the loaded process.\\n \\\"\\\"\\\"\\n\\n sessionid = self._sessionid(sessionid)\\n headers = {\\\"Content-Type\\\": \\\"application/json\\\" }\\n\\n # build config body\\n config_dict = config.to_dict()\\n config_dict.update({'start': start})\\n body = json.dumps(config_dict)\\n\\n name = \\\"%s.%s\\\" % (sessionid, config.name)\\n\\n if force:\\n if self.job_exists(name):\\n self.request(\\\"put\\\", \\\"/jobs/%s/%s\\\" % (sessionid, config.name),\\n body=body, headers=headers)\\n else:\\n self.request(\\\"post\\\", \\\"/jobs/%s\\\" % sessionid, body=body,\\n headers=headers)\\n else:\\n self.request(\\\"post\\\", \\\"/jobs/%s\\\" % sessionid, body=body,\\n headers=headers)\\n\\n return Job(server=self, config=config, sessionid=sessionid)\\n\\n def unload(self, name, sessionid=None):\\n sessionid = self._sessionid(sessionid)\\n self.request(\\\"delete\\\", \\\"/jobs/%s/%s\\\" % (sessionid, name))\\n return True\\n\\n def reload(self, name, sessionid=None):\\n sessionid = self._sessionid(sessionid)\\n self.request(\\\"post\\\", \\\"/jobs/%s/%s/state\\\" % (sessionid, name),\\n body=\\\"2\\\")\\n return True\\n\\n def get_job(self, name):\\n sessionid, name = self._parse_name(name)\\n resp = self.request(\\\"get\\\", \\\"/jobs/%s/%s\\\" % (sessionid, name))\\n config_dict = self.json_body(resp)['config']\\n return Job(server=self, config=ProcessConfig.from_dict(config_dict),\\n sessionid=sessionid)\\n\\n def get_process(self, pid):\\n return Process(server=self, pid=pid)\\n\\n def socket(self, heartbeat=None):\\n \\\"\\\"\\\" return a direct websocket connection to gaffer \\\"\\\"\\\"\\n url0 = make_uri(self.uri, '/channel/websocket')\\n url = \\\"ws%s\\\" % url0.split(\\\"http\\\", 1)[1]\\n\\n options = {}\\n if heartbeat and heartbeat is not None:\\n options['heartbeat'] = heartbeat\\n\\n if is_ssl(url):\\n options['ssl_options'] = parse_ssl_options(self.options)\\n\\n return GafferSocket(self.loop, url, api_key=self.api_key, **options)\\n\\n def _parse_name(self, name):\\n if \\\".\\\" in name:\\n sessionid, name = name.split(\\\".\\\", 1)\\n elif \\\"/\\\" in name:\\n sessionid, name = name.split(\\\"/\\\", 1)\\n else:\\n sessionid = \\\"default\\\"\\n\\n return sessionid, name\\n\\n def _sessionid(self, session=None):\\n if not session:\\n return \\\"default\\\"\\n return session\\n\"\n },\n {\n \"alpha_fraction\": 0.6941870450973511,\n \"alphanum_fraction\": 0.7064027190208435,\n \"avg_line_length\": 29.81818199157715,\n \"blob_id\": \"1b64ff2e837cdcbae258981d3791da3f23d8fec4\",\n \"content_id\": \"779b6a432649f159e5bc474386a991aa2f4f5ea3\",\n \"detected_licenses\": [\n \"LicenseRef-scancode-unknown-license-reference\",\n \"Unlicense\",\n \"MIT\",\n \"LicenseRef-scancode-public-domain\",\n \"BSD-3-Clause\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"reStructuredText\",\n \"length_bytes\": 2374,\n \"license_type\": \"permissive\",\n \"max_line_length\": 84,\n \"num_lines\": 77,\n \"path\": \"/docs/index.rst\",\n \"repo_name\": \"egmjr/gaffer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \".. gaffer documentation master file, created by\\n sphinx-quickstart on Tue Oct 9 21:10:46 2012.\\n You can adapt this file completely to your liking, but it should at least\\n contain the root `toctree` directive.\\n\\nWelcome to gaffer's documentation!\\n==================================\\n\\nGaffer\\n======\\n\\nControl, Watch and Launch your applications and jobs over HTTP.\\n\\nGaffer is a set of Python modules and tools to easily maintain and\\ninteract with your applications or jobs launched on different machines over\\nHTTP and websockets.\\n\\nIt promotes distributed and decentralized topologies without single points of\\nfailure, enabling fault tolerance and high availability.\\n\\n.. raw:: html\\n\\n <iframe src=\\\"http://player.vimeo.com/video/51674172\\\" width=\\\"500\\\"\\n height=\\\"163\\\" frameborder=\\\"0\\\" webkitAllowFullScreen\\n mozallowfullscreen allowFullScreen></iframe>\\n\\nFeatures\\n--------\\n\\n - RESTful HTTP Api\\n - Websockets and `SOCKJS <http://sockjs.org>`_ support to interact with\\n a gaffer node from any browser or SOCKJS client.\\n - Framework to manage and interact your applications and jobs on\\n differerent machines\\n - Server and :doc:`command-line` tools to manage and interract with your\\n processes\\n - manages topology information. Clients query gaffer_lookupd to discover\\n gaffer nodes for a specific job or application.\\n - Possibility to interact with STDIO and PIPES to interact with your\\n applications and processes\\n - Subscribe to process statistics per process or process templates\\n and get them in quasi RT.\\n - Procfile applications support (see :doc:`gaffer`) but also JSON config\\n support.\\n - Supervisor-like features.\\n - Fully evented. Use the libuv event loop using the\\n `pyuv library <https://pyuv.readthedocs.io>`_\\n - Flapping: handle cases where your processes crash too much\\n - Easily extensible: add your own endpoint, create your client,\\n embed gaffer in your application, ...\\n - Compatible with python 2.7x, 3.x\\n\\n.. note::\\n gaffer source code is hosted on `Github <http://github.com/benoitc/gaffer.git>`_\\n\\nContents:\\n---------\\n\\n.. toctree::\\n :titlesonly:\\n\\n getting-started\\n overview\\n news\\n command-line\\n http\\n webhooks\\n processframework\\n httpclient\\n applications\\n\\nIndices and tables\\n==================\\n\\n* :ref:`genindex`\\n* :ref:`modindex`\\n* :ref:`search`\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5728984475135803,\n \"alphanum_fraction\": 0.5783712863922119,\n \"avg_line_length\": 31.39716339111328,\n \"blob_id\": \"0ff5e97404e89a04c9b961273329cac043bc6d1b\",\n \"content_id\": \"ae2af22b45d51e3cbb96ba283850b549f895a75f\",\n \"detected_licenses\": [\n \"LicenseRef-scancode-unknown-license-reference\",\n \"Unlicense\",\n \"MIT\",\n \"LicenseRef-scancode-public-domain\",\n \"BSD-3-Clause\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"reStructuredText\",\n \"length_bytes\": 4568,\n \"license_type\": \"permissive\",\n \"max_line_length\": 79,\n \"num_lines\": 141,\n \"path\": \"/docs/gaffer.rst\",\n \"repo_name\": \"egmjr/gaffer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \".. _gaffer:\\n\\nGaffer\\n======\\n\\nThe **gaffer** command line tool is an interface to the :doc:`gaffer\\nHTTP api <http>` and include support for loading/unloading Procfile\\napplications, scaling them up and down, ... .\\n\\nIt can also be used as a manager for Procfile-based applications similar to\\nforeman but using the :doc:`gaffer framework <processframework>`. It is\\nrunning your application directly using a Procfile or export it to a\\ngafferd configuration file or simply to a JSON file that you could send\\nto gafferd using the :doc:`HTTP api <http>`.\\n\\nExample of use\\n--------------\\n\\nFor example using the following **Procfile**::\\n\\n dummy: python -u dummy_basic.py\\n dummy1: python -u dummy_basic.py\\n\\n\\nYou can launch all the programs in this procfile using the following\\ncommand line::\\n\\n $ gaffer start\\n\\n\\n.. image:: _static/gafferp.png\\n\\n\\nOr load them on a gaffer node::\\n\\n $ gaffer load\\n\\nand then scale them up and down::\\n\\n $ gaffer scale dummy=3 dummy1+2\\n Scaling dummy processes... done, now running 3\\n Scaling dummy1 processes... done, now running 3\\n\\n\\n.. image:: _static/gaffer_ps.png\\n\\nOPTIONS\\n-------\\n\\n -h --help show this help message and exit\\n --version show version and exit\\n -f procfile,--procfile procfile Specify an alternate Procfile to load\\n -d root,--directory root Specify an alternate application root\\n This defaults to the directory\\n containing the Procfile [default: .]\\n -e k=v,--env k=v Specify one or more .env files to load\\n --endpoint endpoint gafferd node URL to connect\\n [default: http://127.0.0.1:5000]\\n\\n\\nSUBCOMMANDS\\n-----------\\n\\n **export** [-c concurrency|--concurrency concurrency]\\n [--format=format] [--out=filename] [<name>]\\n\\n Export a Procfile\\n\\n This command export a Procfile to a gafferd process settings\\n format. It can be either a JSON that you could send to gafferd\\n via the JSON API or an ini file that can be included to the\\n gafferd configuration.\\n\\n <format> ini or json\\n --out=filename path of filename where the export will be saved\\n\\n **load** [-c concurrency|--concurrency concurrency] [--nostart] [<name>]\\n Load a Procfile application to gafferd\\n\\n <name> is the name of the application recorded in\\n gafferd. By default it will be the name of your\\n project folder.You can use ``.`` to specify the current\\n folder.\\n\\n **ps** [<appname>]\\n List your processes informations\\n\\n <appname> he name of the application (session) of process\\n recoreded in gafferd. By default it will be the name of your\\n project folder.You can use ``.`` to specify the current\\n folder.\\n\\n **run** [-c] [<args>]...\\n Run one-off commands using the same environment as your\\n defined processes\\n\\n -c concurrency\\n Specify the number of each process type to run. The value\\n passed in should be in the format process=num,process=num\\n --concurrency concurrency\\n same as the -c option.\\n\\n **scale** [<appname>] [process=value]...\\n Scaling your process\\n\\n Procfile applications can scale up or down instantly from the\\n command line or API.\\n\\n Scaling a process in an application is done using the scale\\n command:\\n\\n ::\\n\\n $ gaffer scale dummy=3\\n Scaling dummy processes... done, now running 3\\n\\n\\n Or both at once:\\n\\n ::\\n\\n $ gaffer scale dummy=3 dummy1+2\\n Scaling dummy processes... done, now running 3\\n Scaling dummy1 processes... done, now running 3\\n\\n\\n\\n\\n **start** [-c concurrency|--concurrency concurrency]\\n\\n Start a process type or all process types from the Procfile.\\n\\n -c concurrency\\n Specify the number of each process type to run. The value\\n passed in should be in the format process=num,process=num\\n --concurrency concurrency\\n same as the -c option.\\n\\n\\n **unload** [<name>]\\n Unload a Procfile application from a gafferd node\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":4,"string":"4"}}},{"rowIdx":2984168,"cells":{"repo_name":{"kind":"string","value":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases"},"repo_url":{"kind":"string","value":"https://github.com/mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases"},"snapshot_id":{"kind":"string","value":"23d2fb99bf3639dc8b375b2435008ba25f5f2b2b"},"revision_id":{"kind":"string","value":"c2555706389e92ff72b5ae19be415c3cfdf9b796"},"directory_id":{"kind":"string","value":"841b711243c9ebeb6d1185e2bd6943d2cf3a24b4"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-07-03T16:32:59.725261","string":"2020-07-03T16:32:59.725261"},"revision_date":{"kind":"timestamp","value":"2019-08-17T05:16:06","string":"2019-08-17T05:16:06"},"committer_date":{"kind":"timestamp","value":"2019-08-17T05:16:06","string":"2019-08-17T05:16:06"},"github_id":{"kind":"number","value":201970171,"string":"201,970,171"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"string","value":"MIT"},"gha_created_at":{"kind":"timestamp","value":"2019-08-12T16:40:40","string":"2019-08-12T16:40:40"},"gha_updated_at":{"kind":"timestamp","value":"2019-03-25T17:58:26","string":"2019-03-25T17:58:26"},"gha_pushed_at":{"kind":"timestamp","value":"2019-08-12T16:39:44","string":"2019-08-12T16:39:44"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6375266313552856,"alphanum_fraction":0.6833688616752625,"avg_line_length":20.813953399658203,"blob_id":"71a02ac95cc3d796cdeb3ba0164bf0c461b238f5","content_id":"96a3fda534cfb0262277288a0f888b63ad5c4c41","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1885,"license_type":"permissive","max_line_length":71,"num_lines":86,"path":"/SC/northwood.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import sqlite3\n\n\n\"\"\" \ndocstring for answers to non-stretch questions\n\n1. Côte de Blaye\t263.5\n Thüringer Rostbratwurst\t123.79\n Mishi Kobe Niku\t97\n Sir Rodney's Marmalade\t81\n Carnarvon Tigers\t62.5\n Raclette Courdavault\t55\n Manjimup Dried Apples\t53\n Tarte au sucre\t49.3\n Ipoh Coffee\t46\n Rössle Sauerkraut\t45.6\n\n2. 37.2222222222222\n\n3. 263.5\tAux joyeux ecclésiastiques\n 123.79\tPlutzer Lebensmittelgroßmärkte AG\n 97\tTokyo Traders\n 81\tSpecialty Biscuits, Ltd.\n 62.5\tPavlova, Ltd.\n 55\tGai pâturage\n 53\tG'day, Mate\n 49.3\tForêts d'érables\n 46\tLeka Trading\n 45.6\tPlutzer Lebensmittelgroßmärkte AG\n\n4. Confections\n\n\"\"\"\n\n# Instantiate connection to database and initialize cursor\nconn = sqlite3.connect(\"northwind_small.sqlite3\")\ncurs = conn.cursor()\n\n\n# Query for top ten most expensive products\nquery = \"\"\"\n SELECT ProductName, UnitPrice\n FROM Product \n ORDER BY UnitPrice DESC\n LIMIT 10;\n\"\"\"\ncurs.execute(query)\nprint('Top ten most expensive projects:', curs.fetchall())\n\n\n# Query for average age of employees when hired\nquery = \"\"\"\n SELECT AVG(HireDate) - AVG(BirthDate)\n FROM Employee\n\"\"\"\ncurs.execute(query)\nprint('Average age of employees when hired:', curs.fetchall()[0][0])\n\n\n# Query for top ten expensive products and their suppliers\nquery = \"\"\"\n SELECT UnitPrice, Supplier.CompanyName\n FROM Product\n INNER JOIN Supplier\n ON Product.SupplierID = Supplier.ID\n ORDER BY UnitPrice DESC\n LIMIT 10;\n\"\"\"\ncurs.execute(query)\nprint('Ten most expensive by unit price/supplier:', curs.fetchall())\n\n\n# Query for the largest category\nquery = '''\n SELECT MAX(cnt), CategoryName\n FROM (SELECT CategoryName, COUNT(*) as cnt\n FROM Product\n INNER JOIN Category\n ON Product.CategoryID = Category.ID\n GROUP BY CategoryName);\n'''\ncurs.execute(query)\nprint('Category with the most unique products:', curs.fetchall()[0][1])\n\ncurs.close()\nconn.commit()\n"},{"alpha_fraction":0.7025745511054993,"alphanum_fraction":0.7262872457504272,"avg_line_length":26.351852416992188,"blob_id":"974b0f534804bb4ae87a4c1de5fb2cc70ffcb132","content_id":"854d841f35386da4d4d94fbfcc6f2366f0f421ae","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1476,"license_type":"permissive","max_line_length":123,"num_lines":54,"path":"/module1-introduction-to-sql/buddymove_holidayiq.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import sqlite3\nimport pandas as pd \n\n\"\"\"\nIF the database didn't already exist\n\npath = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/module1-introduction-to-sql/buddymove_holidayiq.csv'\n\ndf = pd.read_csv(path)\n\nconn = sqlite3.connect('buddymove_holiday.sqlite3')\n\ndf.to_sql('review', con=conn)\n\n\"\"\"\n\npath = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/buddymove_holidayiq.sqlite3'\nconn = sqlite3.connect(path)\ncurs = conn.cursor()\n\nquery = 'SELECT COUNT(Sports) FROM review'\ncurs.execute(query)\nprint('Total rows:', curs.fetchall()[0][0])\n\nquery = '''SELECT User_id FROM review WHERE Nature >= 100\n AND Shopping >=100'''\ncurs.execute(query)\nprint('Ten Users with >=100 in Nature & Shopping:', curs.fetchmany(10))\n\nquery = 'SELECT AVG(Sports) FROM review'\ncurs.execute(query)\nprint('Average Sports Rating:', curs.fetchall()[0][0])\n\nquery = 'SELECT AVG(Religious) FROM review'\ncurs.execute(query)\nprint('Average Religious Rating:', curs.fetchall()[0][0])\n\nquery = 'SELECT AVG(Nature) FROM review'\ncurs.execute(query)\nprint('Average Nature Rating:', curs.fetchall()[0][0])\n\nquery = 'SELECT AVG(Theatre) FROM review'\ncurs.execute(query)\nprint('Average Theatre Rating:', curs.fetchall()[0][0])\n\nquery = 'SELECT AVG(Shopping) FROM review'\ncurs.execute(query)\nprint('Average Shopping Rating:', curs.fetchall()[0][0])\n\nquery = 'SELECT AVG(Picnic) FROM review'\ncurs.execute(query)\nprint('Average Picnic Rating:', curs.fetchall()[0][0])\n\ncurs.close()"},{"alpha_fraction":0.6539365649223328,"alphanum_fraction":0.6598119735717773,"avg_line_length":24.402984619140625,"blob_id":"6de1cc88c4e96b23fb1a406689aaf5d2da9f7c14","content_id":"3a1a13c45063b8c03b8c67854d73a8838c574a70","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1702,"license_type":"permissive","max_line_length":108,"num_lines":67,"path":"/module2-sql-for-analysis/insert_titanic.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import psycopg2\nimport pandas as pd \n\n\"\"\"\nThis script will take a local csv and insert the data into\na postgreSQL table\n\"\"\"\n\n# Database info\ndbname = 'jehgnrff'\nuser = 'jehgnrff'\npassword = '21Al2FjnMu8SMSi6q505r4qfFZ7JLGTO'\nhost = 'otto.db.elephantsql.com'\n\n# Initialzie connection and cursor\npg_conn = psycopg2.connect(dbname=dbname, user=user,\n password=password, host=host)\n\npg_curs = pg_conn.cursor()\n\n# Retrieve data\nPATH = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/module2-sql-for-analysis/titanic.csv'\n\ndf = pd.read_csv(PATH)\n\n# Add index column SQL congruancy and rename\ndf = df.reset_index()\ndf = df.rename(columns={'index':'person_id'})\n\n# Replace apostrophe's in 'Name' to prevent SQL new column\ndf['Name'] = df['Name'].map(lambda x: x.replace(\"'\", ''))\n\n# Construct list of all the rows for later insertion\npeople = []\nfor i in range(len(df)):\n people.append(tuple(df.loc[i]))\n\n# Store table creation string as variable\ncreate_table = '''\n CREATE TABLE titanic (\n person_id SERIAL PRIMARY KEY,\n survived INT,\n pclass INT,\n name TEXT,\n sex CHAR(7),\n age FLOAT(2),\n siblings_spouses_aboard INT,\n parents_children_aboard INT,\n fare NUMERIC(8,5)\n );\n'''\n\n# Send instructions to create table\npg_curs.execute(create_table)\n\n# Send looped INSERT intructions to table\nfor person in people:\n insert_data = '''\n INSERT INTO titanic\n (survived, pclass, name, sex, age, siblings_spouses_aboard,\n parents_children_aboard, fare)\n VALUES ''' + str(person[1:]) + ';'\n pg_curs.execute(insert_data)\n\n# Close cursor and commit to database\npg_curs.close()\npg_conn.commit()\n"},{"alpha_fraction":0.6362323760986328,"alphanum_fraction":0.6590179800987244,"avg_line_length":23.34375,"blob_id":"fa4f9862cbeb10e5a95107e4996e9108c7bb3a91","content_id":"4fe17cd72f6d4a3f90fc54d74571e49c39531e47","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6232,"license_type":"permissive","max_line_length":104,"num_lines":256,"path":"/module4-acid-and-database-scalability-tradeoffs/titanic_queries.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import psycopg2\nimport pandas as pd \n\n\"\"\"\nScript queries titanic data from elephantSQL\n\"\"\"\n\n# Database info\ndbname = 'jehgnrff'\nuser = 'jehgnrff'\npassword = '21Al2FjnMu8SMSi6q505r4qfFZ7JLGTO'\nhost = 'otto.db.elephantsql.com'\n\n# Initalize connection and cursor to db \npg_conn = psycopg2.connect(dbname=dbname, user=user,\n password=password, host=host)\n\npg_curs = pg_conn.cursor()\n\n\n# Queries\nquery = 'SELECT COUNT(survived) FROM titanic WHERE survived = 1;'\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers survived')\n\n\nquery = 'SELECT COUNT(survived) FROM titanic WHERE survived = 0;'\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers died')\n\n\nquery = 'SELECT COUNT(pclass) FROM titanic WHERE pclass = 1;'\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 1')\n\n\nquery = 'SELECT COUNT(pclass) FROM titanic WHERE pclass = 2;'\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 2')\n\n\nquery = 'SELECT COUNT(pclass) FROM titanic WHERE pclass = 3;'\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 3')\n\n\nquery = '''\n SELECT COUNT(pclass) FROM titanic\n WHERE pclass = 1 AND survived = 1;\n '''\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 1 survied')\n\n\nquery = '''\n SELECT COUNT(pclass) FROM titanic\n WHERE pclass = 2 AND survived = 1;\n '''\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 2 survied')\n\n\nquery = '''\n SELECT COUNT(pclass) FROM titanic\n WHERE pclass = 3 AND survived = 1;\n '''\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 3 survied')\n\n\nquery = '''\n SELECT COUNT(pclass) FROM titanic\n WHERE pclass = 1 AND survived = 0;\n '''\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 1 died')\n\n\nquery = '''\n SELECT COUNT(pclass) FROM titanic\n WHERE pclass = 2 AND survived = 0;\n '''\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 2 died')\n\n\nquery = '''\n SELECT COUNT(pclass) FROM titanic\n WHERE pclass = 3 AND survived = 0;\n '''\npg_curs.execute(query)\nprint(pg_curs.fetchall()[0][0], 'passengers in class 3 died')\n\n\nquery = '''\n SELECT AVG(age) FROM titanic\n WHERE survived = 1;\n '''\npg_curs.execute(query)\nprint('Average age of survivors:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(age) FROM titanic\n WHERE survived = 0;\n '''\npg_curs.execute(query)\nprint('Average age of casualties:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(age) FROM titanic\n WHERE pclass = 1;\n '''\npg_curs.execute(query)\nprint('Average age of class 1:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(age) FROM titanic\n WHERE pclass = 2;\n '''\npg_curs.execute(query)\nprint('Average age of class 2:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(age) FROM titanic\n WHERE pclass = 3;\n '''\npg_curs.execute(query)\nprint('Average age of class 3:', round(pg_curs.fetchall()[0][0], 2))\n\nquery = '''\n SELECT AVG(fare) FROM titanic\n WHERE pclass = 1;\n '''\npg_curs.execute(query)\nprint('Average fare of class 1:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(fare) FROM titanic\n WHERE pclass = 2;\n '''\npg_curs.execute(query)\nprint('Average fare of class 2:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(fare) FROM titanic\n WHERE pclass = 3;\n '''\npg_curs.execute(query)\nprint('Average fare of class 3:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(fare) FROM titanic\n WHERE survived = 0;\n '''\npg_curs.execute(query)\nprint('Average fare of deceased:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(siblings_spouses_aboard) FROM titanic\n WHERE pclass = 1;\n '''\npg_curs.execute(query)\nprint('Average siblings/spouses aboard for class 1:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(siblings_spouses_aboard) FROM titanic\n WHERE pclass = 2;\n '''\npg_curs.execute(query)\nprint('Average siblings/spouses aboard for class 2:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(siblings_spouses_aboard) FROM titanic\n WHERE pclass = 3;\n '''\npg_curs.execute(query)\nprint('Average siblings/spouses aboard for class 3:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(siblings_spouses_aboard) FROM titanic\n WHERE survived = 1;\n '''\npg_curs.execute(query)\nprint('Average siblings/spouses aboard for survivors:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(siblings_spouses_aboard) FROM titanic\n WHERE survived = 0;\n '''\npg_curs.execute(query)\nprint('Average siblings/spouses aboard for deceased:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(parents_children_aboard) FROM titanic\n WHERE pclass = 1;\n '''\npg_curs.execute(query)\nprint('Average parents/children aboard for class 1:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(parents_children_aboard) FROM titanic\n WHERE pclass = 2;\n '''\npg_curs.execute(query)\nprint('Average parents/children aboard for class 2:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(parents_children_aboard) FROM titanic\n WHERE pclass = 3;\n '''\npg_curs.execute(query)\nprint('Average parents/children aboard for class 3:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(parents_children_aboard) FROM titanic\n WHERE survived = 1;\n '''\npg_curs.execute(query)\nprint('Average parents/children aboard for survivors:', round(pg_curs.fetchall()[0][0], 2))\n\n\nquery = '''\n SELECT AVG(parents_children_aboard) FROM titanic\n WHERE survived = 0;\n '''\npg_curs.execute(query)\nprint('Average parents/children aboard deceased:', round(pg_curs.fetchall()[0][0], 2))\n\nquery = '''\n SELECT COUNT(total.nm) FROM\n(SELECT a.first_name, count(*) as nm\nFROM (SELECT split_part(name, ' ', 2) AS first_name\nFROM titanic) as a\nGROUP BY a.first_name\nHAVING COUNT(*) > 1) as total\n'''\npg_curs.execute(query)\nprint('Number of passengers who share a first name with at least one other:', pg_curs.fetchall()[0][0])\n\npg_curs.close()\n"},{"alpha_fraction":0.6484687328338623,"alphanum_fraction":0.6884154677391052,"avg_line_length":29.059999465942383,"blob_id":"9ec65c76a4c9b1f7a2d25a36d012d3519c2eb61f","content_id":"9637315208d9caf903c6197506e0eab3b21045d0","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1502,"license_type":"permissive","max_line_length":110,"num_lines":50,"path":"/module3-nosql-and-document-oriented-databases/insert_rpg_mongoDB.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import pymongo\nimport sqlite3\n\n'''\nThe purpose of this script is to load a local sqlite3 file and insert\nit's contents into a mongoDB 'NoSQL' database\n'''\n\n# File path to sqlite tables\nSOURCE = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases'\npath = SOURCE + '/module1-introduction-to-sql/rpg_db.sqlite3'\n\n# Initializing the connection and cursor\nsl_conn = sqlite3.connect(path)\nsl_curs = sl_conn.cursor()\n\n# Generating a list of tuples for each character in table\ncharacters = sl_curs.execute(\n 'SELECT * FROM charactercreator_character;'\n ).fetchall()\n\n# Connecting to database\nSOURCE = 'mongodb://mjh09:XXXX@cluster0-shard-00-00-ojdma.mongodb.net:27017,'\npath = SOURCE + 'cluster0-shard-00-01-ojdma.mongodb.net:27017,'\npath1 = path + 'cluster0-shard-00-02-ojdma.mongodb.net:27017/test?ssl=true&replicaSet'\npath2 = path1 + '27017/test?ssl=true&replicaSet=Cluster0-shard-0&authSource=admin&retryWrites=true&w=majority'\nclient = pymongo.MongoClient(path2)\ndb = client.test\n\n# For loop to insert\nfor character in characters:\n db.test.insert_one({\n 'sql_id' : character[0],\n 'name' : character[1],\n 'level' : character[2],\n 'exp' : character[3],\n 'hp' : character[4],\n 'strength' : character[5],\n 'intelligence' : character[6],\n 'dexterity' : character[7],\n 'wisdom' : character[8],\n })\n\n\n# Used to check\n#print(len(characters))\n#print(db)\n#print(db.test.find_one({'sql_id' : 4}))\nsl_curs.close()\nsl_conn.commit()"},{"alpha_fraction":0.5901886820793152,"alphanum_fraction":0.6067924499511719,"avg_line_length":16.66666603088379,"blob_id":"b5aae2ec023348cce84aae0bef8232636c5b0ec5","content_id":"8b639d3d3d9302115ee32908f6fdf1743c7dd9c4","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1325,"license_type":"permissive","max_line_length":61,"num_lines":75,"path":"/SC/demo_data.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import sqlite3\n\n'''\ndocsting for query results\nTotal number of rows : 3\nRows with x,y >=5: 2\nNumber of unique values in y: 2\n'''\n\n\n# Instaniate Connection to Database\nconn = sqlite3.connect(\"demo_data.sqlite3\")\ncurs = conn.cursor()\n\n\n# Variable to create a table schema\ncreate_table = \"\"\"\n CREATE TABLE demo (\n s TEXT,\n x INT,\n y INT\n);\n\"\"\"\ncurs.execute(create_table)\n\n\n# List of data to be inserted\ndata = [(\"g\", 3, 9), (\"v\", 5, 7), (\"f\", 8, 7)]\n\n\n# Loop to execute data insertion\nfor datum in data:\n insert_data = (\n \"\"\"\n INSERT INTO demo (s, x, y)\n VALUES \"\"\"\n + str(datum[:])\n + \";\"\n )\n curs.execute(insert_data)\n\nconn.commit()\n\n\n# Print query to find the number of rows in table\nquery = '''\n SELECT COUNT(s)\n FROM demo\n'''\ncurs.execute(query)\nprint('Total number of rows:', curs.fetchall()[0][0])\n\n\n# Print a conditional query from database\nquery = \"\"\"\n SELECT COUNT(s) \n FROM demo\n WHERE x >= 5 AND y >=5;\n \"\"\"\ncurs.execute(query)\nprint(\"Rows with x,y >=5:\", curs.fetchall()[0][0])\n\n\n# Print a aggregate query from database\nquery = \"\"\"\n SELECT COUNT(DISTINCT(y))\n FROM DEMO\n \"\"\"\ncurs.execute(query)\nprint(\"Number of unique values in y:\", curs.fetchall()[0][0])\n\n\n# Commit actions and close cursor\ncurs.close()\nconn.commit()\n"},{"alpha_fraction":0.7624810934066772,"alphanum_fraction":0.7624810934066772,"avg_line_length":49.88461685180664,"blob_id":"a2a8a484bab4baf4a01d1277ddd2e791eb0f9bd5","content_id":"973253458a070b8b8bd334ce402f4f8b5242ffcf","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":1322,"license_type":"permissive","max_line_length":126,"num_lines":26,"path":"/SC/part4.md","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"In the Northwind database, what is the type of relationship between the\n `Employee` and `Territory` tables?\n\n - The type of relationship between the 'Employee' and 'Territory'\n tables can be described as many-to-one. This means that many \n employees can belong to a single territory. For the most part,\n the opposite is untru in that one person doesn't typically \n live in multiple territories.\n\nWhat is a situation where a document store (like MongoDB) is appropriate, and what is a situation where it is not appropriate?\n\n - MongoDB is usefull in scenarios where the schema can be flexible.\n This is especially usefull in start-up type scenarios where a team\n can prototype a project quickly. MongoDB wouldn't be appropriate\n for more secure types of databases that require strict adherance to\n a standard and rigid implementation: like a bank or public records\n office.\n\nWhat is \"NewSQL\", and what is it trying to achieve?\n\n - NewSQl is attempting to bridge the gap between SQL databases\n and NoSQL databases. It relaxes some constraints on standard\n practices such as availability and consistency in order to achieve\n a faster transaction times with large scale databases. NewSQL still \n lives in a space of innovation, spured by the growth of horizontal\n scalability."},{"alpha_fraction":0.7363710403442383,"alphanum_fraction":0.7502034306526184,"avg_line_length":37.40625,"blob_id":"adc2cae0a23dd9271065d8342b4e3cac137ccf8d","content_id":"97fdbf4ebb74849ae51e76fdd10fa5bd8200e126","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2458,"license_type":"permissive","max_line_length":114,"num_lines":64,"path":"/module1-introduction-to-sql/rpg_queries.py","repo_name":"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases","src_encoding":"UTF-8","text":"import sqlite3\n\npath = \"C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/module1-introduction-to-sql/rpg_db.sqlite3\"\nconn = sqlite3.connect(path)\ncurs = conn.cursor()\n\nquery = \"SELECT COUNT(character_id) FROM charactercreator_character;\"\ncurs.execute(query)\nprint(\"Total Characters:\", curs.fetchall()[0][0])\n\nquery = \"SELECT COUNT(character_ptr_id) FROM charactercreator_cleric\"\ncurs.execute(query)\nprint(\"Total Cleric Characters:\", curs.fetchall()[0][0])\n\nquery = \"SELECT COUNT(character_ptr_id) FROM charactercreator_fighter\"\ncurs.execute(query)\nprint(\"Total Fighter Characters:\", curs.fetchall()[0][0])\n\nquery = \"SELECT COUNT(character_ptr_id) FROM charactercreator_mage\"\ncurs.execute(query)\nprint(\"Total Mage Characters:\", curs.fetchall()[0][0])\n\nquery = \"SELECT COUNT(mage_ptr_id) FROM charactercreator_necromancer\"\ncurs.execute(query)\nprint(\"Total Necromancer Characters:\", curs.fetchall()[0][0])\n\nquery = \"SELECT COUNT(character_ptr_id) FROM charactercreator_thief\"\ncurs.execute(query)\nprint(\"Total Thief Characters:\", curs.fetchall()[0][0])\n\nquery = \"SELECT COUNT(item_id) FROM armory_item\"\ncurs.execute(query)\nprint(\"Total Items:\", curs.fetchall()[0][0])\n\nquery = '''SELECT COUNT(item_ptr_id) FROM armory_weapon\n INNER JOIN armory_item ON item_id = item_ptr_id'''\ncurs.execute(query)\nprint(\"Total Weapons in Items:\", curs.fetchall()[0][0])\n\n\nquery = \"SELECT item_id FROM armory_item EXCEPT SELECT item_ptr_id FROM armory_weapon\"\ncurs.execute(query)\nprint(\"Total Items minus Weapons:\", len(curs.fetchall()))\n\nquery = '''SELECT COUNT(item_id) FROM charactercreator_character_inventory\n GROUP BY character_id'''\ncurs.execute(query)\nprint(\"First 20 Items per Character:\", curs.fetchmany(20))\n\nquery = '''SELECT COUNT(item_id) FROM charactercreator_character_inventory\n INNER JOIN armory_weapon ON item_id = item_ptr_id GROUP BY character_id'''\ncurs.execute(query)\nprint(\"First 20 Weapons per Character:\", curs.fetchmany(20))\n\nquery = '''SELECT AVG(item_count) FROM (SELECT COUNT(item_id) \n AS item_count FROM charactercreator_character_inventory GROUP BY character_id);'''\ncurs.execute(query)\nprint('Average Items per Character:', curs.fetchall()[0][0])\n\nquery = '''SELECT AVG(weapon_count) FROM (SELECT COUNT(item_id)\n AS weapon_count FROM charactercreator_character_inventory \n INNER JOIN armory_weapon ON item_id = item_ptr_id GROUP BY character_id)'''\ncurs.execute(query)\nprint('Average Weapons per Character:', curs.fetchall()[0][0])\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6375266313552856,\n \"alphanum_fraction\": 0.6833688616752625,\n \"avg_line_length\": 20.813953399658203,\n \"blob_id\": \"71a02ac95cc3d796cdeb3ba0164bf0c461b238f5\",\n \"content_id\": \"96a3fda534cfb0262277288a0f888b63ad5c4c41\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1885,\n \"license_type\": \"permissive\",\n \"max_line_length\": 71,\n \"num_lines\": 86,\n \"path\": \"/SC/northwood.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sqlite3\\n\\n\\n\\\"\\\"\\\" \\ndocstring for answers to non-stretch questions\\n\\n1. Côte de Blaye\\t263.5\\n Thüringer Rostbratwurst\\t123.79\\n Mishi Kobe Niku\\t97\\n Sir Rodney's Marmalade\\t81\\n Carnarvon Tigers\\t62.5\\n Raclette Courdavault\\t55\\n Manjimup Dried Apples\\t53\\n Tarte au sucre\\t49.3\\n Ipoh Coffee\\t46\\n Rössle Sauerkraut\\t45.6\\n\\n2. 37.2222222222222\\n\\n3. 263.5\\tAux joyeux ecclésiastiques\\n 123.79\\tPlutzer Lebensmittelgroßmärkte AG\\n 97\\tTokyo Traders\\n 81\\tSpecialty Biscuits, Ltd.\\n 62.5\\tPavlova, Ltd.\\n 55\\tGai pâturage\\n 53\\tG'day, Mate\\n 49.3\\tForêts d'érables\\n 46\\tLeka Trading\\n 45.6\\tPlutzer Lebensmittelgroßmärkte AG\\n\\n4. Confections\\n\\n\\\"\\\"\\\"\\n\\n# Instantiate connection to database and initialize cursor\\nconn = sqlite3.connect(\\\"northwind_small.sqlite3\\\")\\ncurs = conn.cursor()\\n\\n\\n# Query for top ten most expensive products\\nquery = \\\"\\\"\\\"\\n SELECT ProductName, UnitPrice\\n FROM Product \\n ORDER BY UnitPrice DESC\\n LIMIT 10;\\n\\\"\\\"\\\"\\ncurs.execute(query)\\nprint('Top ten most expensive projects:', curs.fetchall())\\n\\n\\n# Query for average age of employees when hired\\nquery = \\\"\\\"\\\"\\n SELECT AVG(HireDate) - AVG(BirthDate)\\n FROM Employee\\n\\\"\\\"\\\"\\ncurs.execute(query)\\nprint('Average age of employees when hired:', curs.fetchall()[0][0])\\n\\n\\n# Query for top ten expensive products and their suppliers\\nquery = \\\"\\\"\\\"\\n SELECT UnitPrice, Supplier.CompanyName\\n FROM Product\\n INNER JOIN Supplier\\n ON Product.SupplierID = Supplier.ID\\n ORDER BY UnitPrice DESC\\n LIMIT 10;\\n\\\"\\\"\\\"\\ncurs.execute(query)\\nprint('Ten most expensive by unit price/supplier:', curs.fetchall())\\n\\n\\n# Query for the largest category\\nquery = '''\\n SELECT MAX(cnt), CategoryName\\n FROM (SELECT CategoryName, COUNT(*) as cnt\\n FROM Product\\n INNER JOIN Category\\n ON Product.CategoryID = Category.ID\\n GROUP BY CategoryName);\\n'''\\ncurs.execute(query)\\nprint('Category with the most unique products:', curs.fetchall()[0][1])\\n\\ncurs.close()\\nconn.commit()\\n\"\n },\n {\n \"alpha_fraction\": 0.7025745511054993,\n \"alphanum_fraction\": 0.7262872457504272,\n \"avg_line_length\": 26.351852416992188,\n \"blob_id\": \"974b0f534804bb4ae87a4c1de5fb2cc70ffcb132\",\n \"content_id\": \"854d841f35386da4d4d94fbfcc6f2366f0f421ae\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1476,\n \"license_type\": \"permissive\",\n \"max_line_length\": 123,\n \"num_lines\": 54,\n \"path\": \"/module1-introduction-to-sql/buddymove_holidayiq.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sqlite3\\nimport pandas as pd \\n\\n\\\"\\\"\\\"\\nIF the database didn't already exist\\n\\npath = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/module1-introduction-to-sql/buddymove_holidayiq.csv'\\n\\ndf = pd.read_csv(path)\\n\\nconn = sqlite3.connect('buddymove_holiday.sqlite3')\\n\\ndf.to_sql('review', con=conn)\\n\\n\\\"\\\"\\\"\\n\\npath = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/buddymove_holidayiq.sqlite3'\\nconn = sqlite3.connect(path)\\ncurs = conn.cursor()\\n\\nquery = 'SELECT COUNT(Sports) FROM review'\\ncurs.execute(query)\\nprint('Total rows:', curs.fetchall()[0][0])\\n\\nquery = '''SELECT User_id FROM review WHERE Nature >= 100\\n AND Shopping >=100'''\\ncurs.execute(query)\\nprint('Ten Users with >=100 in Nature & Shopping:', curs.fetchmany(10))\\n\\nquery = 'SELECT AVG(Sports) FROM review'\\ncurs.execute(query)\\nprint('Average Sports Rating:', curs.fetchall()[0][0])\\n\\nquery = 'SELECT AVG(Religious) FROM review'\\ncurs.execute(query)\\nprint('Average Religious Rating:', curs.fetchall()[0][0])\\n\\nquery = 'SELECT AVG(Nature) FROM review'\\ncurs.execute(query)\\nprint('Average Nature Rating:', curs.fetchall()[0][0])\\n\\nquery = 'SELECT AVG(Theatre) FROM review'\\ncurs.execute(query)\\nprint('Average Theatre Rating:', curs.fetchall()[0][0])\\n\\nquery = 'SELECT AVG(Shopping) FROM review'\\ncurs.execute(query)\\nprint('Average Shopping Rating:', curs.fetchall()[0][0])\\n\\nquery = 'SELECT AVG(Picnic) FROM review'\\ncurs.execute(query)\\nprint('Average Picnic Rating:', curs.fetchall()[0][0])\\n\\ncurs.close()\"\n },\n {\n \"alpha_fraction\": 0.6539365649223328,\n \"alphanum_fraction\": 0.6598119735717773,\n \"avg_line_length\": 24.402984619140625,\n \"blob_id\": \"6de1cc88c4e96b23fb1a406689aaf5d2da9f7c14\",\n \"content_id\": \"3a1a13c45063b8c03b8c67854d73a8838c574a70\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1702,\n \"license_type\": \"permissive\",\n \"max_line_length\": 108,\n \"num_lines\": 67,\n \"path\": \"/module2-sql-for-analysis/insert_titanic.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import psycopg2\\nimport pandas as pd \\n\\n\\\"\\\"\\\"\\nThis script will take a local csv and insert the data into\\na postgreSQL table\\n\\\"\\\"\\\"\\n\\n# Database info\\ndbname = 'jehgnrff'\\nuser = 'jehgnrff'\\npassword = '21Al2FjnMu8SMSi6q505r4qfFZ7JLGTO'\\nhost = 'otto.db.elephantsql.com'\\n\\n# Initialzie connection and cursor\\npg_conn = psycopg2.connect(dbname=dbname, user=user,\\n password=password, host=host)\\n\\npg_curs = pg_conn.cursor()\\n\\n# Retrieve data\\nPATH = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/module2-sql-for-analysis/titanic.csv'\\n\\ndf = pd.read_csv(PATH)\\n\\n# Add index column SQL congruancy and rename\\ndf = df.reset_index()\\ndf = df.rename(columns={'index':'person_id'})\\n\\n# Replace apostrophe's in 'Name' to prevent SQL new column\\ndf['Name'] = df['Name'].map(lambda x: x.replace(\\\"'\\\", ''))\\n\\n# Construct list of all the rows for later insertion\\npeople = []\\nfor i in range(len(df)):\\n people.append(tuple(df.loc[i]))\\n\\n# Store table creation string as variable\\ncreate_table = '''\\n CREATE TABLE titanic (\\n person_id SERIAL PRIMARY KEY,\\n survived INT,\\n pclass INT,\\n name TEXT,\\n sex CHAR(7),\\n age FLOAT(2),\\n siblings_spouses_aboard INT,\\n parents_children_aboard INT,\\n fare NUMERIC(8,5)\\n );\\n'''\\n\\n# Send instructions to create table\\npg_curs.execute(create_table)\\n\\n# Send looped INSERT intructions to table\\nfor person in people:\\n insert_data = '''\\n INSERT INTO titanic\\n (survived, pclass, name, sex, age, siblings_spouses_aboard,\\n parents_children_aboard, fare)\\n VALUES ''' + str(person[1:]) + ';'\\n pg_curs.execute(insert_data)\\n\\n# Close cursor and commit to database\\npg_curs.close()\\npg_conn.commit()\\n\"\n },\n {\n \"alpha_fraction\": 0.6362323760986328,\n \"alphanum_fraction\": 0.6590179800987244,\n \"avg_line_length\": 23.34375,\n \"blob_id\": \"fa4f9862cbeb10e5a95107e4996e9108c7bb3a91\",\n \"content_id\": \"4fe17cd72f6d4a3f90fc54d74571e49c39531e47\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6232,\n \"license_type\": \"permissive\",\n \"max_line_length\": 104,\n \"num_lines\": 256,\n \"path\": \"/module4-acid-and-database-scalability-tradeoffs/titanic_queries.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import psycopg2\\nimport pandas as pd \\n\\n\\\"\\\"\\\"\\nScript queries titanic data from elephantSQL\\n\\\"\\\"\\\"\\n\\n# Database info\\ndbname = 'jehgnrff'\\nuser = 'jehgnrff'\\npassword = '21Al2FjnMu8SMSi6q505r4qfFZ7JLGTO'\\nhost = 'otto.db.elephantsql.com'\\n\\n# Initalize connection and cursor to db \\npg_conn = psycopg2.connect(dbname=dbname, user=user,\\n password=password, host=host)\\n\\npg_curs = pg_conn.cursor()\\n\\n\\n# Queries\\nquery = 'SELECT COUNT(survived) FROM titanic WHERE survived = 1;'\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers survived')\\n\\n\\nquery = 'SELECT COUNT(survived) FROM titanic WHERE survived = 0;'\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers died')\\n\\n\\nquery = 'SELECT COUNT(pclass) FROM titanic WHERE pclass = 1;'\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 1')\\n\\n\\nquery = 'SELECT COUNT(pclass) FROM titanic WHERE pclass = 2;'\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 2')\\n\\n\\nquery = 'SELECT COUNT(pclass) FROM titanic WHERE pclass = 3;'\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 3')\\n\\n\\nquery = '''\\n SELECT COUNT(pclass) FROM titanic\\n WHERE pclass = 1 AND survived = 1;\\n '''\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 1 survied')\\n\\n\\nquery = '''\\n SELECT COUNT(pclass) FROM titanic\\n WHERE pclass = 2 AND survived = 1;\\n '''\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 2 survied')\\n\\n\\nquery = '''\\n SELECT COUNT(pclass) FROM titanic\\n WHERE pclass = 3 AND survived = 1;\\n '''\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 3 survied')\\n\\n\\nquery = '''\\n SELECT COUNT(pclass) FROM titanic\\n WHERE pclass = 1 AND survived = 0;\\n '''\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 1 died')\\n\\n\\nquery = '''\\n SELECT COUNT(pclass) FROM titanic\\n WHERE pclass = 2 AND survived = 0;\\n '''\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 2 died')\\n\\n\\nquery = '''\\n SELECT COUNT(pclass) FROM titanic\\n WHERE pclass = 3 AND survived = 0;\\n '''\\npg_curs.execute(query)\\nprint(pg_curs.fetchall()[0][0], 'passengers in class 3 died')\\n\\n\\nquery = '''\\n SELECT AVG(age) FROM titanic\\n WHERE survived = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average age of survivors:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(age) FROM titanic\\n WHERE survived = 0;\\n '''\\npg_curs.execute(query)\\nprint('Average age of casualties:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(age) FROM titanic\\n WHERE pclass = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average age of class 1:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(age) FROM titanic\\n WHERE pclass = 2;\\n '''\\npg_curs.execute(query)\\nprint('Average age of class 2:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(age) FROM titanic\\n WHERE pclass = 3;\\n '''\\npg_curs.execute(query)\\nprint('Average age of class 3:', round(pg_curs.fetchall()[0][0], 2))\\n\\nquery = '''\\n SELECT AVG(fare) FROM titanic\\n WHERE pclass = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average fare of class 1:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(fare) FROM titanic\\n WHERE pclass = 2;\\n '''\\npg_curs.execute(query)\\nprint('Average fare of class 2:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(fare) FROM titanic\\n WHERE pclass = 3;\\n '''\\npg_curs.execute(query)\\nprint('Average fare of class 3:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(fare) FROM titanic\\n WHERE survived = 0;\\n '''\\npg_curs.execute(query)\\nprint('Average fare of deceased:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(siblings_spouses_aboard) FROM titanic\\n WHERE pclass = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average siblings/spouses aboard for class 1:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(siblings_spouses_aboard) FROM titanic\\n WHERE pclass = 2;\\n '''\\npg_curs.execute(query)\\nprint('Average siblings/spouses aboard for class 2:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(siblings_spouses_aboard) FROM titanic\\n WHERE pclass = 3;\\n '''\\npg_curs.execute(query)\\nprint('Average siblings/spouses aboard for class 3:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(siblings_spouses_aboard) FROM titanic\\n WHERE survived = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average siblings/spouses aboard for survivors:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(siblings_spouses_aboard) FROM titanic\\n WHERE survived = 0;\\n '''\\npg_curs.execute(query)\\nprint('Average siblings/spouses aboard for deceased:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(parents_children_aboard) FROM titanic\\n WHERE pclass = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average parents/children aboard for class 1:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(parents_children_aboard) FROM titanic\\n WHERE pclass = 2;\\n '''\\npg_curs.execute(query)\\nprint('Average parents/children aboard for class 2:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(parents_children_aboard) FROM titanic\\n WHERE pclass = 3;\\n '''\\npg_curs.execute(query)\\nprint('Average parents/children aboard for class 3:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(parents_children_aboard) FROM titanic\\n WHERE survived = 1;\\n '''\\npg_curs.execute(query)\\nprint('Average parents/children aboard for survivors:', round(pg_curs.fetchall()[0][0], 2))\\n\\n\\nquery = '''\\n SELECT AVG(parents_children_aboard) FROM titanic\\n WHERE survived = 0;\\n '''\\npg_curs.execute(query)\\nprint('Average parents/children aboard deceased:', round(pg_curs.fetchall()[0][0], 2))\\n\\nquery = '''\\n SELECT COUNT(total.nm) FROM\\n(SELECT a.first_name, count(*) as nm\\nFROM (SELECT split_part(name, ' ', 2) AS first_name\\nFROM titanic) as a\\nGROUP BY a.first_name\\nHAVING COUNT(*) > 1) as total\\n'''\\npg_curs.execute(query)\\nprint('Number of passengers who share a first name with at least one other:', pg_curs.fetchall()[0][0])\\n\\npg_curs.close()\\n\"\n },\n {\n \"alpha_fraction\": 0.6484687328338623,\n \"alphanum_fraction\": 0.6884154677391052,\n \"avg_line_length\": 29.059999465942383,\n \"blob_id\": \"9ec65c76a4c9b1f7a2d25a36d012d3519c2eb61f\",\n \"content_id\": \"9637315208d9caf903c6197506e0eab3b21045d0\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1502,\n \"license_type\": \"permissive\",\n \"max_line_length\": 110,\n \"num_lines\": 50,\n \"path\": \"/module3-nosql-and-document-oriented-databases/insert_rpg_mongoDB.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pymongo\\nimport sqlite3\\n\\n'''\\nThe purpose of this script is to load a local sqlite3 file and insert\\nit's contents into a mongoDB 'NoSQL' database\\n'''\\n\\n# File path to sqlite tables\\nSOURCE = 'C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases'\\npath = SOURCE + '/module1-introduction-to-sql/rpg_db.sqlite3'\\n\\n# Initializing the connection and cursor\\nsl_conn = sqlite3.connect(path)\\nsl_curs = sl_conn.cursor()\\n\\n# Generating a list of tuples for each character in table\\ncharacters = sl_curs.execute(\\n 'SELECT * FROM charactercreator_character;'\\n ).fetchall()\\n\\n# Connecting to database\\nSOURCE = 'mongodb://mjh09:XXXX@cluster0-shard-00-00-ojdma.mongodb.net:27017,'\\npath = SOURCE + 'cluster0-shard-00-01-ojdma.mongodb.net:27017,'\\npath1 = path + 'cluster0-shard-00-02-ojdma.mongodb.net:27017/test?ssl=true&replicaSet'\\npath2 = path1 + '27017/test?ssl=true&replicaSet=Cluster0-shard-0&authSource=admin&retryWrites=true&w=majority'\\nclient = pymongo.MongoClient(path2)\\ndb = client.test\\n\\n# For loop to insert\\nfor character in characters:\\n db.test.insert_one({\\n 'sql_id' : character[0],\\n 'name' : character[1],\\n 'level' : character[2],\\n 'exp' : character[3],\\n 'hp' : character[4],\\n 'strength' : character[5],\\n 'intelligence' : character[6],\\n 'dexterity' : character[7],\\n 'wisdom' : character[8],\\n })\\n\\n\\n# Used to check\\n#print(len(characters))\\n#print(db)\\n#print(db.test.find_one({'sql_id' : 4}))\\nsl_curs.close()\\nsl_conn.commit()\"\n },\n {\n \"alpha_fraction\": 0.5901886820793152,\n \"alphanum_fraction\": 0.6067924499511719,\n \"avg_line_length\": 16.66666603088379,\n \"blob_id\": \"b5aae2ec023348cce84aae0bef8232636c5b0ec5\",\n \"content_id\": \"8b639d3d3d9302115ee32908f6fdf1743c7dd9c4\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1325,\n \"license_type\": \"permissive\",\n \"max_line_length\": 61,\n \"num_lines\": 75,\n \"path\": \"/SC/demo_data.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sqlite3\\n\\n'''\\ndocsting for query results\\nTotal number of rows : 3\\nRows with x,y >=5: 2\\nNumber of unique values in y: 2\\n'''\\n\\n\\n# Instaniate Connection to Database\\nconn = sqlite3.connect(\\\"demo_data.sqlite3\\\")\\ncurs = conn.cursor()\\n\\n\\n# Variable to create a table schema\\ncreate_table = \\\"\\\"\\\"\\n CREATE TABLE demo (\\n s TEXT,\\n x INT,\\n y INT\\n);\\n\\\"\\\"\\\"\\ncurs.execute(create_table)\\n\\n\\n# List of data to be inserted\\ndata = [(\\\"g\\\", 3, 9), (\\\"v\\\", 5, 7), (\\\"f\\\", 8, 7)]\\n\\n\\n# Loop to execute data insertion\\nfor datum in data:\\n insert_data = (\\n \\\"\\\"\\\"\\n INSERT INTO demo (s, x, y)\\n VALUES \\\"\\\"\\\"\\n + str(datum[:])\\n + \\\";\\\"\\n )\\n curs.execute(insert_data)\\n\\nconn.commit()\\n\\n\\n# Print query to find the number of rows in table\\nquery = '''\\n SELECT COUNT(s)\\n FROM demo\\n'''\\ncurs.execute(query)\\nprint('Total number of rows:', curs.fetchall()[0][0])\\n\\n\\n# Print a conditional query from database\\nquery = \\\"\\\"\\\"\\n SELECT COUNT(s) \\n FROM demo\\n WHERE x >= 5 AND y >=5;\\n \\\"\\\"\\\"\\ncurs.execute(query)\\nprint(\\\"Rows with x,y >=5:\\\", curs.fetchall()[0][0])\\n\\n\\n# Print a aggregate query from database\\nquery = \\\"\\\"\\\"\\n SELECT COUNT(DISTINCT(y))\\n FROM DEMO\\n \\\"\\\"\\\"\\ncurs.execute(query)\\nprint(\\\"Number of unique values in y:\\\", curs.fetchall()[0][0])\\n\\n\\n# Commit actions and close cursor\\ncurs.close()\\nconn.commit()\\n\"\n },\n {\n \"alpha_fraction\": 0.7624810934066772,\n \"alphanum_fraction\": 0.7624810934066772,\n \"avg_line_length\": 49.88461685180664,\n \"blob_id\": \"a2a8a484bab4baf4a01d1277ddd2e791eb0f9bd5\",\n \"content_id\": \"973253458a070b8b8bd334ce402f4f8b5242ffcf\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 1322,\n \"license_type\": \"permissive\",\n \"max_line_length\": 126,\n \"num_lines\": 26,\n \"path\": \"/SC/part4.md\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"In the Northwind database, what is the type of relationship between the\\n `Employee` and `Territory` tables?\\n\\n - The type of relationship between the 'Employee' and 'Territory'\\n tables can be described as many-to-one. This means that many \\n employees can belong to a single territory. For the most part,\\n the opposite is untru in that one person doesn't typically \\n live in multiple territories.\\n\\nWhat is a situation where a document store (like MongoDB) is appropriate, and what is a situation where it is not appropriate?\\n\\n - MongoDB is usefull in scenarios where the schema can be flexible.\\n This is especially usefull in start-up type scenarios where a team\\n can prototype a project quickly. MongoDB wouldn't be appropriate\\n for more secure types of databases that require strict adherance to\\n a standard and rigid implementation: like a bank or public records\\n office.\\n\\nWhat is \\\"NewSQL\\\", and what is it trying to achieve?\\n\\n - NewSQl is attempting to bridge the gap between SQL databases\\n and NoSQL databases. It relaxes some constraints on standard\\n practices such as availability and consistency in order to achieve\\n a faster transaction times with large scale databases. NewSQL still \\n lives in a space of innovation, spured by the growth of horizontal\\n scalability.\"\n },\n {\n \"alpha_fraction\": 0.7363710403442383,\n \"alphanum_fraction\": 0.7502034306526184,\n \"avg_line_length\": 37.40625,\n \"blob_id\": \"adc2cae0a23dd9271065d8342b4e3cac137ccf8d\",\n \"content_id\": \"97fdbf4ebb74849ae51e76fdd10fa5bd8200e126\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2458,\n \"license_type\": \"permissive\",\n \"max_line_length\": 114,\n \"num_lines\": 64,\n \"path\": \"/module1-introduction-to-sql/rpg_queries.py\",\n \"repo_name\": \"mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sqlite3\\n\\npath = \\\"C:/Users/Cactuar/Projects/DS-Unit-3-Sprint-2-SQL-and-Databases/module1-introduction-to-sql/rpg_db.sqlite3\\\"\\nconn = sqlite3.connect(path)\\ncurs = conn.cursor()\\n\\nquery = \\\"SELECT COUNT(character_id) FROM charactercreator_character;\\\"\\ncurs.execute(query)\\nprint(\\\"Total Characters:\\\", curs.fetchall()[0][0])\\n\\nquery = \\\"SELECT COUNT(character_ptr_id) FROM charactercreator_cleric\\\"\\ncurs.execute(query)\\nprint(\\\"Total Cleric Characters:\\\", curs.fetchall()[0][0])\\n\\nquery = \\\"SELECT COUNT(character_ptr_id) FROM charactercreator_fighter\\\"\\ncurs.execute(query)\\nprint(\\\"Total Fighter Characters:\\\", curs.fetchall()[0][0])\\n\\nquery = \\\"SELECT COUNT(character_ptr_id) FROM charactercreator_mage\\\"\\ncurs.execute(query)\\nprint(\\\"Total Mage Characters:\\\", curs.fetchall()[0][0])\\n\\nquery = \\\"SELECT COUNT(mage_ptr_id) FROM charactercreator_necromancer\\\"\\ncurs.execute(query)\\nprint(\\\"Total Necromancer Characters:\\\", curs.fetchall()[0][0])\\n\\nquery = \\\"SELECT COUNT(character_ptr_id) FROM charactercreator_thief\\\"\\ncurs.execute(query)\\nprint(\\\"Total Thief Characters:\\\", curs.fetchall()[0][0])\\n\\nquery = \\\"SELECT COUNT(item_id) FROM armory_item\\\"\\ncurs.execute(query)\\nprint(\\\"Total Items:\\\", curs.fetchall()[0][0])\\n\\nquery = '''SELECT COUNT(item_ptr_id) FROM armory_weapon\\n INNER JOIN armory_item ON item_id = item_ptr_id'''\\ncurs.execute(query)\\nprint(\\\"Total Weapons in Items:\\\", curs.fetchall()[0][0])\\n\\n\\nquery = \\\"SELECT item_id FROM armory_item EXCEPT SELECT item_ptr_id FROM armory_weapon\\\"\\ncurs.execute(query)\\nprint(\\\"Total Items minus Weapons:\\\", len(curs.fetchall()))\\n\\nquery = '''SELECT COUNT(item_id) FROM charactercreator_character_inventory\\n GROUP BY character_id'''\\ncurs.execute(query)\\nprint(\\\"First 20 Items per Character:\\\", curs.fetchmany(20))\\n\\nquery = '''SELECT COUNT(item_id) FROM charactercreator_character_inventory\\n INNER JOIN armory_weapon ON item_id = item_ptr_id GROUP BY character_id'''\\ncurs.execute(query)\\nprint(\\\"First 20 Weapons per Character:\\\", curs.fetchmany(20))\\n\\nquery = '''SELECT AVG(item_count) FROM (SELECT COUNT(item_id) \\n AS item_count FROM charactercreator_character_inventory GROUP BY character_id);'''\\ncurs.execute(query)\\nprint('Average Items per Character:', curs.fetchall()[0][0])\\n\\nquery = '''SELECT AVG(weapon_count) FROM (SELECT COUNT(item_id)\\n AS weapon_count FROM charactercreator_character_inventory \\n INNER JOIN armory_weapon ON item_id = item_ptr_id GROUP BY character_id)'''\\ncurs.execute(query)\\nprint('Average Weapons per Character:', curs.fetchall()[0][0])\\n\"\n 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Excel worksheet ID extraction script\n## By Bingyin Hu 05/25/2018\n## updated to use python 3 by Bingyin Hu 07/01/2019\n\nimport xlrd\nimport sys\nfrom doiretriever import mainDOIsoupFirst\nfrom customized_compiler_callable import sortSequence\nimport pickle\nfrom lxml import etree\nimport dicttoxml\nimport collections\nimport copy\nimport datetime\n\n# a helper method to find a blurry match regardless of # signs between two\n# strings, testant is the standard expression\ndef match(testee, testant):\n if (testant.lower() == testee.lower()):\n return True\n elif (testant.lower() == testee.lower().split(\"#\")[0].strip()):\n return True\n return False\n\n# the method to verify ID\ndef verifyID(ID_raw):\n message = '' # init\n SID = ID_raw\n if SID[0].isalpha():\n # SID starts with the wrong alphabet\n if SID[0] != 'S':\n message += '[SID Error] Sample ID format error: SID must start with \"S\" case-sensitive. Current upload starts with \"%s\". Example: \"S7\".\\n' % (SID[0])\n # SID length\n if len(SID) < 2:\n message += '[SID Error] Sample ID format error: SID must have at least a length of 2. Current upload has a length of \"%s\". Example: \"S7\".\\n' % (len(SID))\n # SID ends with non-digits\n elif not SID[1:].isdigit():\n message += '[SID Error] Sample ID format error: SID must end with numbers. Current upload ends with \"%s\". Example: \"S7\".\\n' % (SID[1:])\n else:\n # SID starts with non-alphabet\n message += '[SID Error] Sample ID format error: SID must start with \"S\". Current upload is missing the alphabet. Example: \"S7\".\\n'\n return message\n \n# the method to extract ID\ndef extractID(xlsxName, myXSDtree, jobDir, code_srcDir):\n # open xlsx\n # xlrd is the library used to read xlsx file\n # https://secure.simplistix.co.uk/svn/xlrd/trunk/xlrd/doc/xlrd.html?p=4966\n xlfile = xlrd.open_workbook(xlsxName)\n # find the sheet with ID\n sheet_sample = '' # init\n sheets = xlfile.sheets()\n for sheet in sheets:\n # check the header of the sheet to determine what it has inside\n if (sheet.nrows > 0 and sheet.row_values(0)[0].strip().lower() == \"sample info\"):\n sheet_sample = sheet\n # if the sheet with ID is not found, write error message in jobDir/ID.txt\n message = ''\n if sheet_sample == '':\n message += '[Excel Error] Excel template format error: Sample_Info sheet not found.\\n'\n with open(jobDir + '/error_message.txt', 'a') as fid:\n fid.write(message)\n return\n # special case for experimental data\n lab = False\n for row in range(sheet_sample.nrows):\n if match(sheet_sample.row_values(row)[0], 'Sample ID'):\n ID_raw = str(sheet_sample.row_values(row)[1])\n # if no ID is entered in the cell\n if len(ID_raw.strip()) == 0:\n message += '[Excel Error] Excel template value error: Sample ID is not entered in the uploaded Excel template.\\n'\n if match(sheet_sample.row_values(row)[0], 'Citation Type'):\n if sheet_sample.row_values(row)[1] == 'lab-generated':\n lab = True\n if lab:\n if message != '':\n # write the message in jobDir/error_message.txt\n with open(jobDir + '/error_message.txt', 'a') as fid:\n fid.write(message)\n else:\n # write the ID in jobDir/ID.txt\n with open(jobDir + '/ID.txt', 'w') as fid:\n fid.write(ID_raw.strip())\n return\n # otherwise, find and save the ID in jobDir/ID.txt\n for row in range(sheet_sample.nrows):\n # ID\n if match(sheet_sample.row_values(row)[0], 'Sample ID'):\n ID_raw = str(sheet_sample.row_values(row)[1])\n # if no ID is entered in the cell\n if len(ID_raw.strip()) == 0:\n message += '[Excel Error] Excel template value error: Sample ID is not entered in the uploaded Excel template.\\n'\n # else verify the entered ID\n else:\n message += verifyID(ID_raw)\n # DOI\n if match(sheet_sample.row_values(row)[0], 'DOI'):\n DOI = str(sheet_sample.row_values(row)[1]).strip()\n # if no error detected\n if message == '':\n # call localDOI here\n localdoiDict = localDOI(DOI, myXSDtree, code_srcDir)\n # if doi is not valid\n if localdoiDict is None:\n with open(jobDir + '/error_message.txt', 'a') as fid:\n fid.write('[DOI Error] Please check the reported DOI, it seems that DOI does not exist.\\n')\n return\n # special case, special issue made-up DOI, format: ma-SI-FirstName-LastName\n if 'ma-SI' in DOI:\n LastName = DOI.split('-')[-1]\n CurrentYear = str(datetime.datetime.now().year)\n newID = '_'.join([str(localdoiDict['paperID']), ID_raw, LastName, CurrentYear])\n else:\n # generate ID here\n newID = generateID(localdoiDict, ID_raw)\n # write the ID in jobDir/ID.txt\n with open(jobDir + '/ID.txt', 'w') as fid:\n fid.write(newID)\n else:\n # write the message in jobDir/error_message.txt\n with open(jobDir + '/error_message.txt', 'a') as fid:\n fid.write(message)\n return\n\n\n# check local dict for doi info\ndef localDOI(DOI, myXSDtree, code_srcDir):\n with open(code_srcDir + '/doi.pkl','rb') as f:\n alldoiDict = pickle.load(f)\n rollback = copy.deepcopy(alldoiDict)\n if DOI not in alldoiDict:\n # assign it 'nextPID', update 'nextPID', save it into alldoiDict, update\n # doi.pkl, fetching the metadata is slow, so we need to make sure the\n # paperID is updated in the doi.pkl first to avoid collision.\n PID = 'L' + str(alldoiDict['nextPID'])\n alldoiDict['nextPID'] += 1\n alldoiDict[DOI] = {'paperID': PID}\n with open(code_srcDir + '/doi.pkl', 'wb') as f:\n pickle.dump(alldoiDict, f)\n # special case, special issue madeup DOI\n if 'ma-SI' in DOI:\n return alldoiDict[DOI]\n # now fetch the metadata using doi-crawler and save to alldoiDict, doi.pkl\n crawlerDict = mainDOIsoupFirst(DOI)\n # if doi is not valid, mainDOIsoupFirst() returns {}\n if len(crawlerDict) == 0:\n with open(code_srcDir + '/doi.pkl', 'wb') as f:\n pickle.dump(rollback, f)\n return None\n # transfer the newdoiDict to an xml element\n xmlstring = dict2element(crawlerDict, myXSDtree) # an xml element string\n alldoiDict[DOI]['metadata'] = xmlstring\n # update the doi.pkl for the metadata field\n with open(code_srcDir + '/doi.pkl', 'wb') as f:\n pickle.dump(alldoiDict, f)\n return alldoiDict[DOI]\n else:\n return alldoiDict[DOI]\n\n# generate ID with format PID_SID_LastName_PubYear for users with DOI\ndef generateID(doiDict, SID):\n PID = doiDict['paperID']\n LastName = 'LastName'\n tree = etree.XML(doiDict['metadata'])\n Name = tree.find('.//Author')\n if Name is not None:\n LastName = Name.text.split(',')[0]\n PubYear = 'PubYear'\n PubYearRaw = tree.find('.//PublicationYear')\n if PubYearRaw is not None:\n PubYear = PubYearRaw.text\n return '_'.join([str(PID), SID, LastName, PubYear])\n\n# convert DOI crawler dict into an xml element string\ndef dict2element(crawlerDict, myXSDtree):\n # init\n CommonFields = []\n Journal = []\n Citation = collections.OrderedDict()\n CitationType = collections.OrderedDict()\n output = collections.OrderedDict()\n # port dict infos into lists\n for key in crawlerDict:\n if key == \"ISSN\" or key == \"Issue\":\n if len(crawlerDict[key]) > 0:\n Journal.append({key: crawlerDict[key][0]})\n elif key == \"Author\" or key == \"Keyword\":\n if len(crawlerDict[key]) > 0:\n for value in crawlerDict[key]:\n CommonFields.append({key: value})\n elif key == \"Institution\":\n if len(crawlerDict[key]) > 0:\n CommonFields.append({\"Location\": crawlerDict[key][0]})\n else:\n if len(crawlerDict[key]) > 0:\n CommonFields.append({key: crawlerDict[key][0]})\n # sort sequence\n CommonFields = sortSequence(CommonFields, 'CommonFields', myXSDtree)\n Journal = sortSequence(Journal, 'Journal', myXSDtree)\n # save to a dict\n if len(CommonFields) > 0:\n Citation['CommonFields'] = CommonFields\n if len(Journal) > 0:\n CitationType = collections.OrderedDict([('Journal',Journal)])\n if len(CitationType) > 0:\n Citation['CitationType'] = CitationType\n if len(Citation) > 0:\n output = collections.OrderedDict([('Citation', Citation)])\n # convert to an xml element\n assert (len(output) > 0)\n doi_xml = dicttoxml.dicttoxml(output,attr_type=False)\n doi_xml = doi_xml.replace(b'<item>',b'').replace(b'</item>',b'').replace(b'<item/>',b'').replace(b'<item >',b'')\n return doi_xml\n\ndef runEVI(jobDir, code_srcDir, xsdDir, templateName):\n myXSDtree = etree.parse(xsdDir)\n xlsxName = jobDir + '/' + templateName\n extractID(xlsxName, myXSDtree, jobDir, code_srcDir)"},{"alpha_fraction":0.7282525300979614,"alphanum_fraction":0.7355658411979675,"avg_line_length":27.866666793823242,"blob_id":"6011e6cf5350d8833b8cee6cce6969d28422a1e7","content_id":"62200940785a4a29179d520f1474110de442c224","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":2598,"license_type":"no_license","max_line_length":206,"num_lines":90,"path":"/README.md","repo_name":"bingyinh/nanomine_xlsx2xml","src_encoding":"UTF-8","text":"# NanoMine xlsx to xml conversion tool (python 3 and python 2.7)\n\nBy Bingyin Hu\n\n### Python 2.7 version see 'python2.7' branch. For Python 3+, use the 'master' branch directly.\n\n### 1. System preparations\n\nRequired packages:\n\n- glob\n - Python default package\n\n- os\n - Python default package\n\n- sys\n - Python default package\n\n- copy\n - Python default package\n\n- time\n - Python default package\n\n- datetime\n - Python default package\n\n- xlrd\n - https://github.com/python-excel/xlrd\n - Read the input Excel files.\n\n- dicttoxml\n - https://pypi.org/project/dicttoxml/\n - Convert python dictionary to xml.\n\n- collections\n - Python default package\n\n- pickle\n - Python default package\n\n- csv\n - Python default package\n\n- lxml\n - etree function generates xml ElementTree and saves to the final xml file.\n - http://lxml.de/\n\n- MechanicalSoup\n - https://mechanicalsoup.readthedocs.io/en/stable/\n - Used in the DOI modules. A python3 alternative for mechanize.\n\n- Beautiful Soup 4\n - https://www.crummy.com/software/BeautifulSoup/bs4/doc/index.html\n \n- ast\n - Python default package\n - Used in the DOI modules.\n\nOpen the command or terminal and run\n```\npip install -r requirements.txt\n```\n### 2. How to run\n\n1. Add the downloaded directory to the sys.path. Note that the NanoMine xml schema is not provided in this repository. It can be downloaded at https://github.com/Duke-MatSci/nanomine-schema/tree/master/xml.\n\n2. Apply for an account at https://apps.crossref.org/requestaccount/ for the Crossref Query Services and save the email address in `downloaded_directory/account.txt` as required by the DOI query module.\n\n2. Assign values to:\n - `jobDir`: the directory of the Excel files and other files that are to be converted.\n - `code_srcDir`: the directory of the downloaded codes (current directory).\n - `xsdDir`: the directory of the xml schema to be validated against.\n - `templateName`: the file name of the Excel template.\n\n3. In python, run the `extract_verify_ID_callable.py` by\n```\nfrom extract_verify_ID_callable import runEVI\nrunEVI(jobDir, code_srcDir, xsdDir, templateName)\n```\n\n4. If there is no `error_message.txt` generated in the `jobDir` and an `ID.txt` is generated, the conversion can be kicked off by\n```\nfrom customized_compiler_callable import compiler\nlogName = compiler(jobDir, code_srcDir, xsdDir, templateName)\n```\nwhere `logName` is the directory for the schema validation error log.\n\n5. Check the error log for potential schema validation error. There should be an `/xml` folder generated in the `jobDir`, and the converted xml file will be inside.\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5176470875740051,\n \"alphanum_fraction\": 0.7176470756530762,\n \"avg_line_length\": 16.200000762939453,\n \"blob_id\": \"37859b805dc70a674af804cdfd8e85bfc067a61b\",\n \"content_id\": \"8ee9bab0649302dc0562b8075be1cefd806ad30a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 85,\n \"license_type\": \"no_license\",\n \"max_line_length\": 22,\n \"num_lines\": 5,\n \"path\": \"/requirements.txt\",\n \"repo_name\": \"bingyinh/nanomine_xlsx2xml\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"MechanicalSoup==0.11.0\\nbeautifulsoup4==4.7.1\\ndicttoxml==1.7.4\\nxlrd==1.2.0\\nlxml==4.6.5\"\n },\n {\n \"alpha_fraction\": 0.600715160369873,\n \"alphanum_fraction\": 0.6076498031616211,\n \"avg_line_length\": 41.33945083618164,\n \"blob_id\": \"aff020cb5e23554ea3dfba8bf2a34fb1935649ed\",\n \"content_id\": \"2fa488b9f6c4dc0b48282b78c633a047e035cd46\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 9229,\n \"license_type\": \"no_license\",\n \"max_line_length\": 165,\n \"num_lines\": 218,\n \"path\": \"/extract_verify_ID_callable.py\",\n \"repo_name\": \"bingyinh/nanomine_xlsx2xml\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"## Excel worksheet ID extraction script\\n## By Bingyin Hu 05/25/2018\\n## updated to use python 3 by Bingyin Hu 07/01/2019\\n\\nimport xlrd\\nimport sys\\nfrom doiretriever import mainDOIsoupFirst\\nfrom customized_compiler_callable import sortSequence\\nimport pickle\\nfrom lxml import etree\\nimport dicttoxml\\nimport collections\\nimport copy\\nimport datetime\\n\\n# a helper method to find a blurry match regardless of # signs between two\\n# strings, testant is the standard expression\\ndef match(testee, testant):\\n if (testant.lower() == testee.lower()):\\n return True\\n elif (testant.lower() == testee.lower().split(\\\"#\\\")[0].strip()):\\n return True\\n return False\\n\\n# the method to verify ID\\ndef verifyID(ID_raw):\\n message = '' # init\\n SID = ID_raw\\n if SID[0].isalpha():\\n # SID starts with the wrong alphabet\\n if SID[0] != 'S':\\n message += '[SID Error] Sample ID format error: SID must start with \\\"S\\\" case-sensitive. Current upload starts with \\\"%s\\\". Example: \\\"S7\\\".\\\\n' % (SID[0])\\n # SID length\\n if len(SID) < 2:\\n message += '[SID Error] Sample ID format error: SID must have at least a length of 2. Current upload has a length of \\\"%s\\\". Example: \\\"S7\\\".\\\\n' % (len(SID))\\n # SID ends with non-digits\\n elif not SID[1:].isdigit():\\n message += '[SID Error] Sample ID format error: SID must end with numbers. Current upload ends with \\\"%s\\\". Example: \\\"S7\\\".\\\\n' % (SID[1:])\\n else:\\n # SID starts with non-alphabet\\n message += '[SID Error] Sample ID format error: SID must start with \\\"S\\\". Current upload is missing the alphabet. Example: \\\"S7\\\".\\\\n'\\n return message\\n \\n# the method to extract ID\\ndef extractID(xlsxName, myXSDtree, jobDir, code_srcDir):\\n # open xlsx\\n # xlrd is the library used to read xlsx file\\n # https://secure.simplistix.co.uk/svn/xlrd/trunk/xlrd/doc/xlrd.html?p=4966\\n xlfile = xlrd.open_workbook(xlsxName)\\n # find the sheet with ID\\n sheet_sample = '' # init\\n sheets = xlfile.sheets()\\n for sheet in sheets:\\n # check the header of the sheet to determine what it has inside\\n if (sheet.nrows > 0 and sheet.row_values(0)[0].strip().lower() == \\\"sample info\\\"):\\n sheet_sample = sheet\\n # if the sheet with ID is not found, write error message in jobDir/ID.txt\\n message = ''\\n if sheet_sample == '':\\n message += '[Excel Error] Excel template format error: Sample_Info sheet not found.\\\\n'\\n with open(jobDir + '/error_message.txt', 'a') as fid:\\n fid.write(message)\\n return\\n # special case for experimental data\\n lab = False\\n for row in range(sheet_sample.nrows):\\n if match(sheet_sample.row_values(row)[0], 'Sample ID'):\\n ID_raw = str(sheet_sample.row_values(row)[1])\\n # if no ID is entered in the cell\\n if len(ID_raw.strip()) == 0:\\n message += '[Excel Error] Excel template value error: Sample ID is not entered in the uploaded Excel template.\\\\n'\\n if match(sheet_sample.row_values(row)[0], 'Citation Type'):\\n if sheet_sample.row_values(row)[1] == 'lab-generated':\\n lab = True\\n if lab:\\n if message != '':\\n # write the message in jobDir/error_message.txt\\n with open(jobDir + '/error_message.txt', 'a') as fid:\\n fid.write(message)\\n else:\\n # write the ID in jobDir/ID.txt\\n with open(jobDir + '/ID.txt', 'w') as fid:\\n fid.write(ID_raw.strip())\\n return\\n # otherwise, find and save the ID in jobDir/ID.txt\\n for row in range(sheet_sample.nrows):\\n # ID\\n if match(sheet_sample.row_values(row)[0], 'Sample ID'):\\n ID_raw = str(sheet_sample.row_values(row)[1])\\n # if no ID is entered in the cell\\n if len(ID_raw.strip()) == 0:\\n message += '[Excel Error] Excel template value error: Sample ID is not entered in the uploaded Excel template.\\\\n'\\n # else verify the entered ID\\n else:\\n message += verifyID(ID_raw)\\n # DOI\\n if match(sheet_sample.row_values(row)[0], 'DOI'):\\n DOI = str(sheet_sample.row_values(row)[1]).strip()\\n # if no error detected\\n if message == '':\\n # call localDOI here\\n localdoiDict = localDOI(DOI, myXSDtree, code_srcDir)\\n # if doi is not valid\\n if localdoiDict is None:\\n with open(jobDir + '/error_message.txt', 'a') as fid:\\n fid.write('[DOI Error] Please check the reported DOI, it seems that DOI does not exist.\\\\n')\\n return\\n # special case, special issue made-up DOI, format: ma-SI-FirstName-LastName\\n if 'ma-SI' in DOI:\\n LastName = DOI.split('-')[-1]\\n CurrentYear = str(datetime.datetime.now().year)\\n newID = '_'.join([str(localdoiDict['paperID']), ID_raw, LastName, CurrentYear])\\n else:\\n # generate ID here\\n newID = generateID(localdoiDict, ID_raw)\\n # write the ID in jobDir/ID.txt\\n with open(jobDir + '/ID.txt', 'w') as fid:\\n fid.write(newID)\\n else:\\n # write the message in jobDir/error_message.txt\\n with open(jobDir + '/error_message.txt', 'a') as fid:\\n fid.write(message)\\n return\\n\\n\\n# check local dict for doi info\\ndef localDOI(DOI, myXSDtree, code_srcDir):\\n with open(code_srcDir + '/doi.pkl','rb') as f:\\n alldoiDict = pickle.load(f)\\n rollback = copy.deepcopy(alldoiDict)\\n if DOI not in alldoiDict:\\n # assign it 'nextPID', update 'nextPID', save it into alldoiDict, update\\n # doi.pkl, fetching the metadata is slow, so we need to make sure the\\n # paperID is updated in the doi.pkl first to avoid collision.\\n PID = 'L' + str(alldoiDict['nextPID'])\\n alldoiDict['nextPID'] += 1\\n alldoiDict[DOI] = {'paperID': PID}\\n with open(code_srcDir + '/doi.pkl', 'wb') as f:\\n pickle.dump(alldoiDict, f)\\n # special case, special issue madeup DOI\\n if 'ma-SI' in DOI:\\n return alldoiDict[DOI]\\n # now fetch the metadata using doi-crawler and save to alldoiDict, doi.pkl\\n crawlerDict = mainDOIsoupFirst(DOI)\\n # if doi is not valid, mainDOIsoupFirst() returns {}\\n if len(crawlerDict) == 0:\\n with open(code_srcDir + '/doi.pkl', 'wb') as f:\\n pickle.dump(rollback, f)\\n return None\\n # transfer the newdoiDict to an xml element\\n xmlstring = dict2element(crawlerDict, myXSDtree) # an xml element string\\n alldoiDict[DOI]['metadata'] = xmlstring\\n # update the doi.pkl for the metadata field\\n with open(code_srcDir + '/doi.pkl', 'wb') as f:\\n pickle.dump(alldoiDict, f)\\n return alldoiDict[DOI]\\n else:\\n return alldoiDict[DOI]\\n\\n# generate ID with format PID_SID_LastName_PubYear for users with DOI\\ndef generateID(doiDict, SID):\\n PID = doiDict['paperID']\\n LastName = 'LastName'\\n tree = etree.XML(doiDict['metadata'])\\n Name = tree.find('.//Author')\\n if Name is not None:\\n LastName = Name.text.split(',')[0]\\n PubYear = 'PubYear'\\n PubYearRaw = tree.find('.//PublicationYear')\\n if PubYearRaw is not None:\\n PubYear = PubYearRaw.text\\n return '_'.join([str(PID), SID, LastName, PubYear])\\n\\n# convert DOI crawler dict into an xml element string\\ndef dict2element(crawlerDict, myXSDtree):\\n # init\\n CommonFields = []\\n Journal = []\\n Citation = collections.OrderedDict()\\n CitationType = collections.OrderedDict()\\n output = collections.OrderedDict()\\n # port dict infos into lists\\n for key in crawlerDict:\\n if key == \\\"ISSN\\\" or key == \\\"Issue\\\":\\n if len(crawlerDict[key]) > 0:\\n Journal.append({key: crawlerDict[key][0]})\\n elif key == \\\"Author\\\" or key == \\\"Keyword\\\":\\n if len(crawlerDict[key]) > 0:\\n for value in crawlerDict[key]:\\n CommonFields.append({key: value})\\n elif key == \\\"Institution\\\":\\n if len(crawlerDict[key]) > 0:\\n CommonFields.append({\\\"Location\\\": crawlerDict[key][0]})\\n else:\\n if len(crawlerDict[key]) > 0:\\n CommonFields.append({key: crawlerDict[key][0]})\\n # sort sequence\\n CommonFields = sortSequence(CommonFields, 'CommonFields', myXSDtree)\\n Journal = sortSequence(Journal, 'Journal', myXSDtree)\\n # save to a dict\\n if len(CommonFields) > 0:\\n Citation['CommonFields'] = CommonFields\\n if len(Journal) > 0:\\n CitationType = collections.OrderedDict([('Journal',Journal)])\\n if len(CitationType) > 0:\\n Citation['CitationType'] = CitationType\\n if len(Citation) > 0:\\n output = collections.OrderedDict([('Citation', Citation)])\\n # convert to an xml element\\n assert (len(output) > 0)\\n doi_xml = dicttoxml.dicttoxml(output,attr_type=False)\\n doi_xml = doi_xml.replace(b'<item>',b'').replace(b'</item>',b'').replace(b'<item/>',b'').replace(b'<item >',b'')\\n return doi_xml\\n\\ndef runEVI(jobDir, code_srcDir, xsdDir, templateName):\\n myXSDtree = etree.parse(xsdDir)\\n xlsxName = jobDir + '/' + templateName\\n extractID(xlsxName, myXSDtree, jobDir, code_srcDir)\"\n },\n {\n \"alpha_fraction\": 0.7282525300979614,\n \"alphanum_fraction\": 0.7355658411979675,\n \"avg_line_length\": 27.866666793823242,\n \"blob_id\": \"6011e6cf5350d8833b8cee6cce6969d28422a1e7\",\n \"content_id\": \"62200940785a4a29179d520f1474110de442c224\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 2598,\n \"license_type\": \"no_license\",\n \"max_line_length\": 206,\n \"num_lines\": 90,\n \"path\": \"/README.md\",\n \"repo_name\": \"bingyinh/nanomine_xlsx2xml\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# NanoMine xlsx to xml conversion tool (python 3 and python 2.7)\\n\\nBy Bingyin Hu\\n\\n### Python 2.7 version see 'python2.7' branch. For Python 3+, use the 'master' branch directly.\\n\\n### 1. System preparations\\n\\nRequired packages:\\n\\n- glob\\n - Python default package\\n\\n- os\\n - Python default package\\n\\n- sys\\n - Python default package\\n\\n- copy\\n - Python default package\\n\\n- time\\n - Python default package\\n\\n- datetime\\n - Python default package\\n\\n- xlrd\\n - https://github.com/python-excel/xlrd\\n - Read the input Excel files.\\n\\n- dicttoxml\\n - https://pypi.org/project/dicttoxml/\\n - Convert python dictionary to xml.\\n\\n- collections\\n - Python default package\\n\\n- pickle\\n - Python default package\\n\\n- csv\\n - Python default package\\n\\n- lxml\\n - etree function generates xml ElementTree and saves to the final xml file.\\n - http://lxml.de/\\n\\n- MechanicalSoup\\n - https://mechanicalsoup.readthedocs.io/en/stable/\\n - Used in the DOI modules. A python3 alternative for mechanize.\\n\\n- Beautiful Soup 4\\n - https://www.crummy.com/software/BeautifulSoup/bs4/doc/index.html\\n \\n- ast\\n - Python default package\\n - Used in the DOI modules.\\n\\nOpen the command or terminal and run\\n```\\npip install -r requirements.txt\\n```\\n### 2. How to run\\n\\n1. Add the downloaded directory to the sys.path. Note that the NanoMine xml schema is not provided in this repository. It can be downloaded at https://github.com/Duke-MatSci/nanomine-schema/tree/master/xml.\\n\\n2. Apply for an account at https://apps.crossref.org/requestaccount/ for the Crossref Query Services and save the email address in `downloaded_directory/account.txt` as required by the DOI query module.\\n\\n2. Assign values to:\\n - `jobDir`: the directory of the Excel files and other files that are to be converted.\\n - `code_srcDir`: the directory of the downloaded codes (current directory).\\n - `xsdDir`: the directory of the xml schema to be validated against.\\n - `templateName`: the file name of the Excel template.\\n\\n3. In python, run the `extract_verify_ID_callable.py` by\\n```\\nfrom extract_verify_ID_callable import runEVI\\nrunEVI(jobDir, code_srcDir, xsdDir, templateName)\\n```\\n\\n4. If there is no `error_message.txt` generated in the `jobDir` and an `ID.txt` is generated, the conversion can be kicked off by\\n```\\nfrom customized_compiler_callable import compiler\\nlogName = compiler(jobDir, code_srcDir, xsdDir, templateName)\\n```\\nwhere `logName` is the directory for the schema validation error log.\\n\\n5. Check the error log for potential schema validation error. There should be an `/xml` folder generated in the `jobDir`, and the converted xml file will be inside.\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":3,"string":"3"}}},{"rowIdx":2984170,"cells":{"repo_name":{"kind":"string","value":"gotomy/convert-document"},"repo_url":{"kind":"string","value":"https://github.com/gotomy/convert-document"},"snapshot_id":{"kind":"string","value":"0bb5b7c9d68cdd6e91e30c0dab8153d6d7539fd0"},"revision_id":{"kind":"string","value":"c48bb70a4553809d3c6dcace37eceaa355e16ba7"},"directory_id":{"kind":"string","value":"f64bc7c737105790a56ba9159f34384e4e113e2d"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-11-11T03:35:56.915260","string":"2022-11-11T03:35:56.915260"},"revision_date":{"kind":"timestamp","value":"2020-06-26T10:37:14","string":"2020-06-26T10:37:14"},"committer_date":{"kind":"timestamp","value":"2020-06-26T10:37:14","string":"2020-06-26T10:37:14"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5901442170143127,"alphanum_fraction":0.593215823173523,"avg_line_length":34.32075500488281,"blob_id":"00f6a64c2323058cb617fe566b63cbdf876b4bcf","content_id":"f723a142743554cae05c95a6df6d6ab5d6442707","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":7488,"license_type":"permissive","max_line_length":158,"num_lines":212,"path":"/convert/converter.py","repo_name":"gotomy/convert-document","src_encoding":"UTF-8","text":"import os\nimport uno\nimport time\nimport shutil\nimport logging\nimport subprocess\nfrom threading import Timer\nfrom tempfile import gettempdir\nfrom psutil import process_iter\nfrom com.sun.star.beans import PropertyValue\nfrom com.sun.star.lang import DisposedException, IllegalArgumentException\nfrom com.sun.star.connection import NoConnectException\nfrom com.sun.star.io import IOException\nfrom com.sun.star.script import CannotConvertException\nfrom com.sun.star.uno import RuntimeException\n\nDESKTOP = 'com.sun.star.frame.Desktop'\nRESOLVER = 'com.sun.star.bridge.UnoUrlResolver'\nCONVERT_DIR = os.path.join(gettempdir(), 'convert')\nOUT_FILE = os.path.join(CONVERT_DIR, '/tmp/output.pdf')\nINSTANCE_DIR = os.path.join(gettempdir(), 'soffice')\nENV = '\"-env:UserInstallation=file:///%s\"' % INSTANCE_DIR\nCONNECTION = 'socket,host=localhost,port=2002,tcpNoDelay=1;urp;StarOffice.ComponentContext' # noqa\nACCEPT = '--accept=\"%s\"' % CONNECTION\nCOMMAND = ['/usr/bin/soffice', ENV, '--nologo', '--headless', '--nocrashreport', '--nodefault', '--norestore', '--nolockcheck', '--invisible', ACCEPT] # noqa\nCOMMAND = ' '.join(COMMAND)\n\nlog = logging.getLogger(__name__)\n\n\ndef flush_path(path):\n if os.path.exists(path):\n shutil.rmtree(path, ignore_errors=True)\n os.makedirs(path, exist_ok=True)\n\n\nclass ConversionFailure(Exception):\n # A failure related to the content or structure of the document\n # given, which is expected to re-occur with consecutive attempts\n # to process the document.\n pass\n\n\nclass SystemFailure(Exception):\n # A failure of the service that lead to a failed conversion of\n # the document which may or may not re-occur when the document\n # is processed again.\n pass\n\n\nclass Converter(object):\n \"\"\"Launch a background instance of LibreOffice and convert documents\n to PDF using it's filters.\n \"\"\"\n PDF_FILTERS = (\n ('com.sun.star.text.GenericTextDocument', 'writer_pdf_Export'),\n ('com.sun.star.text.WebDocument', 'writer_web_pdf_Export'),\n ('com.sun.star.presentation.PresentationDocument', 'impress_pdf_Export'), # noqa\n ('com.sun.star.drawing.DrawingDocument', 'draw_pdf_Export'),\n )\n\n def __init__(self):\n self.alive = False\n self.start()\n\n def kill(self):\n log.info('Disposing of LibreOffice.')\n while True:\n self.alive = False\n # The Alfred Hitchcock approach to task management:\n # https://www.youtube.com/watch?v=0WtDmbr9xyY\n try:\n for proc in process_iter():\n name = proc.name()\n if 'soffice' not in name and 'oosplash' not in name:\n continue\n self.alive = True\n log.warn(\"Killing process: %r\", name)\n proc.kill()\n time.sleep(2)\n except Exception as exc:\n log.warn(\"Failed to kill: %r (%s)\", name, exc)\n self.alive = True\n if not self.alive:\n return\n\n def start(self):\n self.kill()\n flush_path(INSTANCE_DIR)\n flush_path(CONVERT_DIR)\n log.info('Starting LibreOffice: %s', COMMAND)\n subprocess.Popen(COMMAND, shell=True)\n time.sleep(3)\n self.alive = True\n\n def prepare(self):\n if not self.alive:\n self.start()\n flush_path(CONVERT_DIR)\n\n def terminate(self):\n # This gets executed in its own thread after `timeout` seconds.\n log.error('Document conversion timed out.')\n self.kill()\n\n def _svc_create(self, ctx, clazz):\n return ctx.ServiceManager.createInstanceWithContext(clazz, ctx)\n\n def connect(self):\n for attempt in range(10):\n try:\n context = uno.getComponentContext()\n resolver = self._svc_create(context, RESOLVER)\n context = resolver.resolve('uno:%s' % CONNECTION)\n return self._svc_create(context, DESKTOP)\n except NoConnectException:\n log.warning(\"No connection to LibreOffice (%s)\", attempt)\n time.sleep(2)\n raise SystemFailure(\"No connection to LibreOffice\")\n\n def check_health(self, desktop):\n if desktop is None:\n raise SystemFailure('Cannot connect to LibreOffice.')\n if desktop.getFrames().getCount() != 0:\n raise SystemFailure('LibreOffice has stray frames.')\n if desktop.getTasks() is not None:\n raise SystemFailure('LibreOffice has stray tasks.')\n\n def convert_file(self, file_name, timeout):\n timer = Timer(timeout * 0.99, self.terminate)\n timer.start()\n try:\n return self._timed_convert_file(file_name)\n finally:\n timer.cancel()\n\n def _timed_convert_file(self, file_name):\n desktop = self.connect()\n self.check_health(desktop)\n # log.debug(\"[%s] connected.\", file_name)\n try:\n url = uno.systemPathToFileUrl(file_name)\n props = self.property_tuple({\n 'Hidden': True,\n 'MacroExecutionMode': 0,\n 'ReadOnly': True,\n 'Overwrite': True,\n 'OpenNewView': True,\n 'StartPresentation': False,\n 'RepairPackage': False,\n })\n doc = desktop.loadComponentFromURL(url, '_blank', 0, props)\n except IllegalArgumentException:\n raise ConversionFailure('Cannot open document.')\n except DisposedException:\n raise SystemFailure('Bridge is disposed.')\n\n if doc is None:\n raise ConversionFailure('Cannot open document.')\n\n # log.debug(\"[%s] opened.\", file_name)\n try:\n try:\n doc.ShowChanges = False\n except AttributeError:\n pass\n\n try:\n doc.refresh()\n except AttributeError:\n pass\n\n output_url = uno.systemPathToFileUrl(OUT_FILE)\n prop = self.get_output_properties(doc)\n # log.debug(\"[%s] refreshed.\", file_name)\n doc.storeToURL(output_url, prop)\n # log.debug(\"[%s] exported.\", file_name)\n doc.dispose()\n doc.close(True)\n del doc\n # log.debug(\"[%s] closed.\", file_name)\n except (DisposedException, IOException,\n CannotConvertException, RuntimeException):\n raise ConversionFailure('Cannot generate PDF.')\n\n stat = os.stat(OUT_FILE)\n if stat.st_size == 0 or not os.path.exists(OUT_FILE):\n raise ConversionFailure('Cannot generate PDF.')\n return OUT_FILE\n\n def get_output_properties(self, doc):\n # https://github.com/unoconv/unoconv/blob/master/doc/filters.adoc\n filter_name = 'writer_pdf_Export'\n for (service, pdf) in self.PDF_FILTERS:\n if doc.supportsService(service):\n filter_name = pdf\n return self.property_tuple({\n 'FilterName': filter_name,\n 'Overwrite': True,\n 'ReduceImageResolution': True,\n 'MaxImageResolution': 300,\n 'SelectPdfVersion': 1,\n })\n\n def property_tuple(self, propDict):\n properties = []\n for k, v in propDict.items():\n prop = PropertyValue()\n prop.Name = k\n prop.Value = v\n properties.append(prop)\n return tuple(properties)\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5901442170143127,\n \"alphanum_fraction\": 0.593215823173523,\n \"avg_line_length\": 34.32075500488281,\n \"blob_id\": \"00f6a64c2323058cb617fe566b63cbdf876b4bcf\",\n \"content_id\": \"f723a142743554cae05c95a6df6d6ab5d6442707\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 7488,\n \"license_type\": \"permissive\",\n \"max_line_length\": 158,\n \"num_lines\": 212,\n \"path\": \"/convert/converter.py\",\n \"repo_name\": \"gotomy/convert-document\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import os\\nimport uno\\nimport time\\nimport shutil\\nimport logging\\nimport subprocess\\nfrom threading import Timer\\nfrom tempfile import gettempdir\\nfrom psutil import process_iter\\nfrom com.sun.star.beans import PropertyValue\\nfrom com.sun.star.lang import DisposedException, IllegalArgumentException\\nfrom com.sun.star.connection import NoConnectException\\nfrom com.sun.star.io import IOException\\nfrom com.sun.star.script import CannotConvertException\\nfrom com.sun.star.uno import RuntimeException\\n\\nDESKTOP = 'com.sun.star.frame.Desktop'\\nRESOLVER = 'com.sun.star.bridge.UnoUrlResolver'\\nCONVERT_DIR = os.path.join(gettempdir(), 'convert')\\nOUT_FILE = os.path.join(CONVERT_DIR, '/tmp/output.pdf')\\nINSTANCE_DIR = os.path.join(gettempdir(), 'soffice')\\nENV = '\\\"-env:UserInstallation=file:///%s\\\"' % INSTANCE_DIR\\nCONNECTION = 'socket,host=localhost,port=2002,tcpNoDelay=1;urp;StarOffice.ComponentContext' # noqa\\nACCEPT = '--accept=\\\"%s\\\"' % CONNECTION\\nCOMMAND = ['/usr/bin/soffice', ENV, '--nologo', '--headless', '--nocrashreport', '--nodefault', '--norestore', '--nolockcheck', '--invisible', ACCEPT] # noqa\\nCOMMAND = ' '.join(COMMAND)\\n\\nlog = logging.getLogger(__name__)\\n\\n\\ndef flush_path(path):\\n if os.path.exists(path):\\n shutil.rmtree(path, ignore_errors=True)\\n os.makedirs(path, exist_ok=True)\\n\\n\\nclass ConversionFailure(Exception):\\n # A failure related to the content or structure of the document\\n # given, which is expected to re-occur with consecutive attempts\\n # to process the document.\\n pass\\n\\n\\nclass SystemFailure(Exception):\\n # A failure of the service that lead to a failed conversion of\\n # the document which may or may not re-occur when the document\\n # is processed again.\\n pass\\n\\n\\nclass Converter(object):\\n \\\"\\\"\\\"Launch a background instance of LibreOffice and convert documents\\n to PDF using it's filters.\\n \\\"\\\"\\\"\\n PDF_FILTERS = (\\n ('com.sun.star.text.GenericTextDocument', 'writer_pdf_Export'),\\n ('com.sun.star.text.WebDocument', 'writer_web_pdf_Export'),\\n ('com.sun.star.presentation.PresentationDocument', 'impress_pdf_Export'), # noqa\\n ('com.sun.star.drawing.DrawingDocument', 'draw_pdf_Export'),\\n )\\n\\n def __init__(self):\\n self.alive = False\\n self.start()\\n\\n def kill(self):\\n log.info('Disposing of LibreOffice.')\\n while True:\\n self.alive = False\\n # The Alfred Hitchcock approach to task management:\\n # https://www.youtube.com/watch?v=0WtDmbr9xyY\\n try:\\n for proc in process_iter():\\n name = proc.name()\\n if 'soffice' not in name and 'oosplash' not in name:\\n continue\\n self.alive = True\\n log.warn(\\\"Killing process: %r\\\", name)\\n proc.kill()\\n time.sleep(2)\\n except Exception as exc:\\n log.warn(\\\"Failed to kill: %r (%s)\\\", name, exc)\\n self.alive = True\\n if not self.alive:\\n return\\n\\n def start(self):\\n self.kill()\\n flush_path(INSTANCE_DIR)\\n flush_path(CONVERT_DIR)\\n log.info('Starting LibreOffice: %s', COMMAND)\\n subprocess.Popen(COMMAND, shell=True)\\n time.sleep(3)\\n self.alive = True\\n\\n def prepare(self):\\n if not self.alive:\\n self.start()\\n flush_path(CONVERT_DIR)\\n\\n def terminate(self):\\n # This gets executed in its own thread after `timeout` seconds.\\n log.error('Document conversion timed out.')\\n self.kill()\\n\\n def _svc_create(self, ctx, clazz):\\n return ctx.ServiceManager.createInstanceWithContext(clazz, ctx)\\n\\n def connect(self):\\n for attempt in range(10):\\n try:\\n context = uno.getComponentContext()\\n resolver = self._svc_create(context, RESOLVER)\\n context = resolver.resolve('uno:%s' % CONNECTION)\\n return self._svc_create(context, DESKTOP)\\n except NoConnectException:\\n log.warning(\\\"No connection to LibreOffice (%s)\\\", attempt)\\n time.sleep(2)\\n raise SystemFailure(\\\"No connection to LibreOffice\\\")\\n\\n def check_health(self, desktop):\\n if desktop is None:\\n raise SystemFailure('Cannot connect to LibreOffice.')\\n if desktop.getFrames().getCount() != 0:\\n raise SystemFailure('LibreOffice has stray frames.')\\n if desktop.getTasks() is not None:\\n raise SystemFailure('LibreOffice has stray tasks.')\\n\\n def convert_file(self, file_name, timeout):\\n timer = Timer(timeout * 0.99, self.terminate)\\n timer.start()\\n try:\\n return self._timed_convert_file(file_name)\\n finally:\\n timer.cancel()\\n\\n def _timed_convert_file(self, file_name):\\n desktop = self.connect()\\n self.check_health(desktop)\\n # log.debug(\\\"[%s] connected.\\\", file_name)\\n try:\\n url = uno.systemPathToFileUrl(file_name)\\n props = self.property_tuple({\\n 'Hidden': True,\\n 'MacroExecutionMode': 0,\\n 'ReadOnly': True,\\n 'Overwrite': True,\\n 'OpenNewView': True,\\n 'StartPresentation': False,\\n 'RepairPackage': False,\\n })\\n doc = desktop.loadComponentFromURL(url, '_blank', 0, props)\\n except IllegalArgumentException:\\n raise ConversionFailure('Cannot open document.')\\n except DisposedException:\\n raise SystemFailure('Bridge is disposed.')\\n\\n if doc is None:\\n raise ConversionFailure('Cannot open document.')\\n\\n # log.debug(\\\"[%s] opened.\\\", file_name)\\n try:\\n try:\\n doc.ShowChanges = False\\n except AttributeError:\\n pass\\n\\n try:\\n doc.refresh()\\n except AttributeError:\\n pass\\n\\n output_url = uno.systemPathToFileUrl(OUT_FILE)\\n prop = self.get_output_properties(doc)\\n # log.debug(\\\"[%s] refreshed.\\\", file_name)\\n doc.storeToURL(output_url, prop)\\n # log.debug(\\\"[%s] exported.\\\", file_name)\\n doc.dispose()\\n doc.close(True)\\n del doc\\n # log.debug(\\\"[%s] closed.\\\", file_name)\\n except (DisposedException, IOException,\\n CannotConvertException, RuntimeException):\\n raise ConversionFailure('Cannot generate PDF.')\\n\\n stat = os.stat(OUT_FILE)\\n if stat.st_size == 0 or not os.path.exists(OUT_FILE):\\n raise ConversionFailure('Cannot generate PDF.')\\n return OUT_FILE\\n\\n def get_output_properties(self, doc):\\n # https://github.com/unoconv/unoconv/blob/master/doc/filters.adoc\\n filter_name = 'writer_pdf_Export'\\n for (service, pdf) in self.PDF_FILTERS:\\n if doc.supportsService(service):\\n filter_name = pdf\\n return self.property_tuple({\\n 'FilterName': filter_name,\\n 'Overwrite': True,\\n 'ReduceImageResolution': True,\\n 'MaxImageResolution': 300,\\n 'SelectPdfVersion': 1,\\n })\\n\\n def property_tuple(self, propDict):\\n properties = []\\n for k, v in propDict.items():\\n prop = PropertyValue()\\n prop.Name = k\\n prop.Value = v\\n properties.append(prop)\\n return tuple(properties)\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2984171,"cells":{"repo_name":{"kind":"string","value":"gbakie/similar_sentences"},"repo_url":{"kind":"string","value":"https://github.com/gbakie/similar_sentences"},"snapshot_id":{"kind":"string","value":"da21745284697f3fbf478a5bb65b1d858fcda47a"},"revision_id":{"kind":"string","value":"402d73ca6d260bb0be0e3fc9f16c1a5333287859"},"directory_id":{"kind":"string","value":"04c6c72d08842085ad93d071e14e4cac02593491"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2016-08-08T01:56:15.615860","string":"2016-08-08T01:56:15.615860"},"revision_date":{"kind":"timestamp","value":"2015-03-14T22:26:01","string":"2015-03-14T22:26:01"},"committer_date":{"kind":"timestamp","value":"2015-03-14T22:26:01","string":"2015-03-14T22:26:01"},"github_id":{"kind":"number","value":32234936,"string":"32,234,936"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.49750226736068726,"alphanum_fraction":0.5256584882736206,"avg_line_length":25.059171676635742,"blob_id":"f947729e2611f3308213f5a822a2c0341affc093","content_id":"a785f26ffa0de29af32ecfa3362698a4b504cf0b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4404,"license_type":"no_license","max_line_length":90,"num_lines":169,"path":"/similar_sentences.py","repo_name":"gbakie/similar_sentences","src_encoding":"UTF-8","text":"__author__ = 'gbakiewicz'\n\nfrom collections import defaultdict\nfrom itertools import combinations\nimport crcmod\nfrom random import randint\nfrom sys import argv\nfrom sys import exit\nimport numpy as np\n\n# CONSTANTS\n#div = 3455275207\ndiv = 15485867\ndiv2 = 24310399\n#crc = 0x104c11db7\ncrc = 0x11EDC6F41\nnhashes = 150\nbands = 30\nrows = nhashes/bands\n\ndef init_hashes(n):\n hashes_attr = []\n for i in xrange(n):\n initv = randint(1, np.iinfo(np.uint32).max)\n xorv = randint(1, np.iinfo(np.uint32).max)\n hashes_attr.append(crcmod.mkCrcFun(crc, initCrc=initv, xorOut=xorv))\n\n return hashes_attr\n\n\ndef compute_word(word, hashes_attr):\n hashes = np.empty(nhashes, dtype=np.uint32)\n i = 0\n for attr in hashes_attr:\n hashes[i] = np.uint32(attr(word))\n #print word,hashes[i]\n i += 1\n\n return hashes\n\n# GIVEN: list of hashes for each word, list of sentences (bag of words with ids)\n# RETURNS: a matrix with minhash rows for each sentence\ndef minhashing(filename):\n fh = open(filename)\n tab = defaultdict(list)\n hashes_attr = init_hashes(nhashes)\n\n # read the number of sentences at the beginning of the file\n n = int(fh.readline().strip())\n # M has n columns and hlen rows\n M = np.full( (nhashes,n), np.iinfo(np.uint32).max, dtype=np.uint32 )\n\n print \"Starting minhashing: \" + str(n) + \" sentences\"\n\n c = 0\n for line in fh:\n tokens = line.strip().split(' ')[1:]\n for token in tokens:\n if token in tab:\n hashes = tab[token]\n else:\n hashes = compute_word(token, hashes_attr)\n tab[token] = hashes\n\n for i in xrange(nhashes):\n if hashes[i] < M[i,c]:\n M[i,c] = hashes[i]\n\n c += 1\n\n del tab\n\n return M\n\ndef init_lsh_hashes(n):\n hashes = []\n for i in xrange(n):\n hashes.append(randint(1,2**10))\n\n return hashes\n\n\n# GIVEN: matrix M with the minhashes for each sentence and number of bands\n# RETURNS: buckets with the sentence bands hashed\ndef lshashing(M):\n (n, m) = M.shape\n candidates = [np.empty(0, dtype=np.uint32)] * m\n #candidates = set()\n #candidates = {}\n h1 = init_lsh_hashes(rows)\n h2 = init_lsh_hashes(rows)\n\n print \"Bands: \" + str(bands)\n print \"Rows: \" + str(rows)\n\n for b in xrange(bands):\n lshash = {}\n #lshash = np.full(div, np.iinfo(np.uint32).max, dtype=np.uint32)\n for i in xrange(m):\n v1 = 0\n v2 = 0\n idx = b * rows\n for row in xrange(rows):\n v1 += (M[idx,i] * h1[row])\n v2 += (M[idx,i] * h2[row])\n idx += 1\n\n h1_val = np.uint32(v1 % div)\n h2_val = np.uint32(v2 % div2)\n\n if h1_val not in lshash:\n lshash[h1_val] = np.array((i,h2_val), ndmin=2, dtype=np.uint32)\n #print lshash[h1_val]\n else:\n lshash[h1_val] = np.append(lshash[h1_val], [(i, h2_val)], axis=0)\n #print lshash[h1_val]\n\n for v in lshash.itervalues():\n if v.shape[0] > 1:\n bins = defaultdict(list)\n for r1 in v:\n bins[r1[1]].append(r1[0])\n\n for vs in bins.itervalues():\n if len(vs) > 1:\n vs.sort()\n idx = vs[0]\n #candidates.update(combinations(vs,2))\n #for comb in combinations(vs,2):\n #candidates[comb] = 1\n #for a in vs:\n # print \"Sent \" + str(a)\n # print M[:,a]\n\n candidates[idx] = np.unique(np.concatenate((candidates[idx], vs)))\n\n del bins\n del lshash\n\n return candidates\n\n\ndef print_similar(lshash):\n for l in lshash:\n for v in l.values():\n if len(v) > 1:\n print \"similar sentences: \" + str(v)\n\ndef print_candidates(cand):\n print len(cand)\n for c in cand.iterkeys():\n print c\n\nif __name__ == \"__main__\":\n if len(argv) < 2:\n print \"Error: expecting input filename\"\n exit(0)\n\n M = minhashing(argv[1])\n #print M\n\n cand = lshashing(M)\n\n del M\n\n for c in cand:\n if len(c) > 1:\n print c\n #print_candidates(cand)\n"}],"string":"[\n {\n \"alpha_fraction\": 0.49750226736068726,\n \"alphanum_fraction\": 0.5256584882736206,\n \"avg_line_length\": 25.059171676635742,\n \"blob_id\": \"f947729e2611f3308213f5a822a2c0341affc093\",\n \"content_id\": \"a785f26ffa0de29af32ecfa3362698a4b504cf0b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4404,\n \"license_type\": \"no_license\",\n \"max_line_length\": 90,\n \"num_lines\": 169,\n \"path\": \"/similar_sentences.py\",\n \"repo_name\": \"gbakie/similar_sentences\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"__author__ = 'gbakiewicz'\\n\\nfrom collections import defaultdict\\nfrom itertools import combinations\\nimport crcmod\\nfrom random import randint\\nfrom sys import argv\\nfrom sys import exit\\nimport numpy as np\\n\\n# CONSTANTS\\n#div = 3455275207\\ndiv = 15485867\\ndiv2 = 24310399\\n#crc = 0x104c11db7\\ncrc = 0x11EDC6F41\\nnhashes = 150\\nbands = 30\\nrows = nhashes/bands\\n\\ndef init_hashes(n):\\n hashes_attr = []\\n for i in xrange(n):\\n initv = randint(1, np.iinfo(np.uint32).max)\\n xorv = randint(1, np.iinfo(np.uint32).max)\\n hashes_attr.append(crcmod.mkCrcFun(crc, initCrc=initv, xorOut=xorv))\\n\\n return hashes_attr\\n\\n\\ndef compute_word(word, hashes_attr):\\n hashes = np.empty(nhashes, dtype=np.uint32)\\n i = 0\\n for attr in hashes_attr:\\n hashes[i] = np.uint32(attr(word))\\n #print word,hashes[i]\\n i += 1\\n\\n return hashes\\n\\n# GIVEN: list of hashes for each word, list of sentences (bag of words with ids)\\n# RETURNS: a matrix with minhash rows for each sentence\\ndef minhashing(filename):\\n fh = open(filename)\\n tab = defaultdict(list)\\n hashes_attr = init_hashes(nhashes)\\n\\n # read the number of sentences at the beginning of the file\\n n = int(fh.readline().strip())\\n # M has n columns and hlen rows\\n M = np.full( (nhashes,n), np.iinfo(np.uint32).max, dtype=np.uint32 )\\n\\n print \\\"Starting minhashing: \\\" + str(n) + \\\" sentences\\\"\\n\\n c = 0\\n for line in fh:\\n tokens = line.strip().split(' ')[1:]\\n for token in tokens:\\n if token in tab:\\n hashes = tab[token]\\n else:\\n hashes = compute_word(token, hashes_attr)\\n tab[token] = hashes\\n\\n for i in xrange(nhashes):\\n if hashes[i] < M[i,c]:\\n M[i,c] = hashes[i]\\n\\n c += 1\\n\\n del tab\\n\\n return M\\n\\ndef init_lsh_hashes(n):\\n hashes = []\\n for i in xrange(n):\\n hashes.append(randint(1,2**10))\\n\\n return hashes\\n\\n\\n# GIVEN: matrix M with the minhashes for each sentence and number of bands\\n# RETURNS: buckets with the sentence bands hashed\\ndef lshashing(M):\\n (n, m) = M.shape\\n candidates = [np.empty(0, dtype=np.uint32)] * m\\n #candidates = set()\\n #candidates = {}\\n h1 = init_lsh_hashes(rows)\\n h2 = init_lsh_hashes(rows)\\n\\n print \\\"Bands: \\\" + str(bands)\\n print \\\"Rows: \\\" + str(rows)\\n\\n for b in xrange(bands):\\n lshash = {}\\n #lshash = np.full(div, np.iinfo(np.uint32).max, dtype=np.uint32)\\n for i in xrange(m):\\n v1 = 0\\n v2 = 0\\n idx = b * rows\\n for row in xrange(rows):\\n v1 += (M[idx,i] * h1[row])\\n v2 += (M[idx,i] * h2[row])\\n idx += 1\\n\\n h1_val = np.uint32(v1 % div)\\n h2_val = np.uint32(v2 % div2)\\n\\n if h1_val not in lshash:\\n lshash[h1_val] = np.array((i,h2_val), ndmin=2, dtype=np.uint32)\\n #print lshash[h1_val]\\n else:\\n lshash[h1_val] = np.append(lshash[h1_val], [(i, h2_val)], axis=0)\\n #print lshash[h1_val]\\n\\n for v in lshash.itervalues():\\n if v.shape[0] > 1:\\n bins = defaultdict(list)\\n for r1 in v:\\n bins[r1[1]].append(r1[0])\\n\\n for vs in bins.itervalues():\\n if len(vs) > 1:\\n vs.sort()\\n idx = vs[0]\\n #candidates.update(combinations(vs,2))\\n #for comb in combinations(vs,2):\\n #candidates[comb] = 1\\n #for a in vs:\\n # print \\\"Sent \\\" + str(a)\\n # print M[:,a]\\n\\n candidates[idx] = np.unique(np.concatenate((candidates[idx], vs)))\\n\\n del bins\\n del lshash\\n\\n return candidates\\n\\n\\ndef print_similar(lshash):\\n for l in lshash:\\n for v in l.values():\\n if len(v) > 1:\\n print \\\"similar sentences: \\\" + str(v)\\n\\ndef print_candidates(cand):\\n print len(cand)\\n for c in cand.iterkeys():\\n print c\\n\\nif __name__ == \\\"__main__\\\":\\n if len(argv) < 2:\\n print \\\"Error: expecting input filename\\\"\\n exit(0)\\n\\n M = minhashing(argv[1])\\n #print M\\n\\n cand = lshashing(M)\\n\\n del M\\n\\n for c in cand:\\n if len(c) > 1:\\n print c\\n #print_candidates(cand)\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2984172,"cells":{"repo_name":{"kind":"string","value":"pirr/alt_couch"},"repo_url":{"kind":"string","value":"https://github.com/pirr/alt_couch"},"snapshot_id":{"kind":"string","value":"42e81c0f424d8f943fc50b2d002456070d966899"},"revision_id":{"kind":"string","value":"c690771f729c38ac39041d4fea981b44623a0748"},"directory_id":{"kind":"string","value":"a25f0f335e336fb47eb67b9ec05a4d480fbbbc49"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-06-27T21:56:01.657168","string":"2021-06-27T21:56:01.657168"},"revision_date":{"kind":"timestamp","value":"2017-09-13T08:27:46","string":"2017-09-13T08:27:46"},"committer_date":{"kind":"timestamp","value":"2017-09-13T08:27:46","string":"2017-09-13T08:27:46"},"github_id":{"kind":"number","value":103374847,"string":"103,374,847"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.468490868806839,"alphanum_fraction":0.47097843885421753,"avg_line_length":28.02409553527832,"blob_id":"025d55c00b4655d2e6ff5307cde657225e477188","content_id":"5098c81a0cc9c8b2e3a0979cacc47b01f7d979de","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2412,"license_type":"no_license","max_line_length":75,"num_lines":83,"path":"/_libs/alt/dict_.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import yaml, json, copy\n\nclass dict_(dict):\n \n def __init__(self, *args, **kwargs):\n super(dict_, self).__init__(*args, **kwargs)\n for name,item in self.items():\n if isinstance(item,dict):\n self[name] = dict_(item)\n if isinstance(item,list):\n for ilist,listitem in enumerate(item):\n if isinstance(listitem,dict):\n item[ilist]=dict_(listitem)\n self.__dict__ = self\n\n def set_(self, path, value):\n\n pos = path.find('.')\n if pos==-1:\n self[path] = value\n else:\n if path[:pos] not in self:\n self[path[:pos]] = dict_()\n self[path[:pos]].set_(path[pos+1:], value)\n\n def get_(self, path, default=None):\n\n pos = path.find('.')\n if pos==-1:\n if path in self:\n return self[path]\n else:\n return default\n else:\n if path[:pos] not in self:\n return default\n else:\n return self[path[:pos]].get_(path[pos+1:], default=default)\n\n def del_(self, path):\n\n pos = path.find('.')\n if pos==-1:\n if path in self:\n del self[path]\n else:\n if path[:pos] in self:\n self[path[:pos]].del_(path[pos+1:])\n if not self[path[:pos]]:\n del self[path[:pos]]\n\n def remove_empty(self):\n\n remove = []\n for name, value in self.items():\n if isinstance(value, (str, dict_, dict, list)) and not value:\n remove.append(name)\n continue\n if isinstance(value,dict):\n self[name].remove_empty()\n elif isinstance(value,list):\n for ilist, listvalue in enumerate(value):\n if isinstance(listvalue,dict):\n value[ilist].remove_empty()\n for name in remove:\n del self[name]\n\n def equal(self, doc, ignore=[]):\n\n self_doc = copy.deepcopy(self)\n for field in ignore:\n if field in self_doc:\n del self_doc[field]\n if field in doc:\n del doc[field]\n\n return json.dumps(self_doc) == json.dumps(doc)\n\n def to_yaml(self):\n\n self_doc = copy.deepcopy(self)\n\n return yaml.dump(self_doc)\n\n\n\n"},{"alpha_fraction":0.613043487071991,"alphanum_fraction":0.613043487071991,"avg_line_length":26.058822631835938,"blob_id":"79abf59f59c24130b794f5768ca756f7ed475244","content_id":"ccddda5d194b977d839140af1e5b161dd40d79b6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":460,"license_type":"no_license","max_line_length":66,"num_lines":17,"path":"/_libs/vb/www.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import cherrypy, urllib.parse\nfrom alt.dict_ import dict_\n\ndef form_params(kwargs, default=None):\n\n params = dict_()\n for key, value in kwargs.items():\n if value!='':\n params[key] = value\n\n if (cherrypy.request.method=='POST' and params) or not kwargs:\n if not kwargs:\n params = default\n cgi = urllib.parse.urlencode(params)\n raise cherrypy.HTTPRedirect(cherrypy.url() + '?' + cgi)\n\n return params\n"},{"alpha_fraction":0.48801475763320923,"alphanum_fraction":0.5082975029945374,"avg_line_length":21.27397346496582,"blob_id":"81f17b011817a698dae7b225b70794099f450d01","content_id":"48d1dd0823851a5e9ecf3ac232d460eaa1bef702","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1627,"license_type":"no_license","max_line_length":69,"num_lines":73,"path":"/_libs/alt/time.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"from __future__ import absolute_import\nfrom datetime import datetime, timedelta\n\ndef today_utc_iso():\n \n return datetime.utcnow().strftime('%Y-%m-%d')\n \ndef today_utc():\n \n return datetime.utcnow().date()\n \ndef today_iso():\n \n return datetime.now().strftime('%Y-%m-%d')\n \ndef iso(dt):\n \n if dt.__class__.__name__=='date':\n return dt.strftime('%Y-%m-%d')\n else:\n return dt.strftime('%Y-%m-%d %H:%M:%S')\n\ndef from_iso(iso):\n \n if len(iso)==19:\n return datetime.strptime(iso,'%Y-%m-%d %H:%M:%S')\n \n if len(iso)==10:\n return datetime.strptime(iso,'%Y-%m-%d').date()\n\ndef now_iso():\n \n return datetime.now().strftime('%Y-%m-%d %H:%M:%S') \n \ndef now_utc_iso():\n \n return datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S') \n\ndef mtime():\n \n return datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S') \n\ndef www_format_mtime(time_iso, error_time_diff=None, with_date=True):\n \n dt = from_iso(time_iso)\n \n dt = dt + timedelta(hours=8)\n \n st = datetime.strftime(dt,'%H:%M')\n\n diff = datetime.now()-dt\n diff = int(diff.total_seconds())\n h = diff // 3600\n m = (diff-h*3600) // 60\n sd = '({0:02d}:{1:02d})'.format(h,m)\n \n if diff > 3600*24:\n if with_date:\n res = datetime.strftime(dt,'%d.%m %H:%M')\n else:\n res = st\n elif diff > 60*30:\n res = st + ' ' + sd\n else:\n res = sd\n \n if error_time_diff:\n if diff/60 > error_time_diff:\n return res, 'ERROR'\n else:\n return res, ''\n else:\n return res\n\n"},{"alpha_fraction":0.4943203628063202,"alphanum_fraction":0.4972558915615082,"avg_line_length":30.465864181518555,"blob_id":"e2fb42fc3963037a67d8f960596b8f159084fe5b","content_id":"6d73fe19e851d31d6c6b376a2576fe62bbca2629","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8127,"license_type":"no_license","max_line_length":113,"num_lines":249,"path":"/_libs/vb/couch.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import couchdb, glob, os, socket, cherrypy\nfrom functools import reduce\nfrom alt.dict_ import dict_\nimport alt.time, vb.cfg\n\n\ndef create(db_name):\n server = couchdb.Server()\n server.resource.credentials = ('admin', 'admin')\n if db_name not in server:\n server.create(db_name)\n\n\nclass Q:\n '''\n Основной объект для составления запроса\n '''\n OR = '$or'\n AND = '$and'\n\n def __init__(self, **kwarg):\n self.field_cond = list(kwarg.keys())[0]\n self.val = list(kwarg.values())[0]\n\n @property\n def P(self):\n field_cond_list = self.field_cond.split('__')\n field = field_cond_list[:-1]\n cond = '$' + field_cond_list[-1]\n parsed_field_cond = reduce(lambda x, y: {y: x},\n reversed(field + [cond, self.val]))\n return parsed_field_cond\n\n def _combine(self, other, cond):\n query = dict()\n query[cond] = [self.P, other.P]\n return _FQ(query)\n\n def __or__(self, other):\n return self._combine(other, self.OR)\n\n def __and__(self, other):\n return self._combine(other, self.AND)\n\n\nclass _FQ(Q):\n '''\n Вспомогательный объект для составления запросов\n '''\n def __init__(self, val):\n self.val = val\n\n @property\n def P(self):\n return self.val\n\n\nclass DB:\n def __init__(self, name, admin=False, user_id=None):\n\n self.name = name\n self.host = socket.gethostname()\n self.server = couchdb.Server()\n self.user_id = user_id\n if admin:\n self.server.resource.credentials = ('admin', 'admin')\n self.db = self.server[name]\n\n def __contains__(self, doc_id):\n\n return doc_id in self.db\n\n def __getitem__(self, doc_id):\n\n return dict_(self.db[doc_id])\n\n def __setitem__(self, doc_id, doc):\n\n if 'type' not in doc:\n raise Exception('No type')\n doc.mhost = self.host\n doc.mtime = alt.time.mtime()\n self.db[doc_id] = doc\n\n def __delitem__(self, key):\n\n del self.db[key]\n\n def check(self, doc, user_id=None):\n\n if 'type' not in doc:\n raise Exception('No type in doc')\n if user_id is None:\n if self.user_id is not None:\n doc.user_id = self.user_id\n else:\n doc.user_id = cherrypy.session['user_id']\n else:\n doc.user_id = user_id\n if 'user_id' not in doc:\n raise Exception('No user_id in doc')\n doc.mhost = self.host\n doc.mtime = alt.time.mtime()\n\n def new_id(self, doc, user_id=None):\n\n self.check(doc, user_id=user_id)\n doc_id, _ = self.db.save(doc)\n print('Saved', doc_id)\n\n return doc_id\n\n def new(self, doc_id, doc, user_id=None):\n\n self.check(doc, user_id=user_id)\n self.db[doc_id] = doc\n print('Saved', doc_id)\n\n def save(self, doc_id, doc, user_id=None, exception=True):\n\n self.check(doc, user_id=user_id)\n doc.remove_empty()\n try:\n if doc_id in self.db:\n if doc.equal(self.db[doc_id], ignore=['host', 'mtime', 'user_id']):\n if exception:\n raise Exception('Nothing changed')\n else:\n return 'SAME'\n self.db[doc_id] = doc\n except couchdb.ResourceConflict:\n if exception:\n raise Exception('Version conflict')\n else:\n return 'CONFLICT'\n\n return ''\n\n def view(self, name, **options):\n\n return self.db.view(name + '/' + name, **options)\n\n def force_save(self, doc_id, doc):\n\n self.check(doc)\n doc.remove_empty()\n for itry in range(10):\n try:\n if doc_id in self.db:\n if doc.equal(self.db[doc_id], ignore=['host', 'mtime', 'user_id']):\n return 'SAME'\n rev = self.db[doc_id]['_rev']\n doc._rev = rev\n self.db[doc_id] = doc\n except couchdb.ResourceConflict:\n continue\n\n def install_views(self, prefix):\n\n server = couchdb.Server()\n server.resource.credentials = ('admin', 'admin')\n db = server[self.name]\n prefix = prefix + '-'\n\n views_ids_to_delete = []\n for row in db.view('_all_docs')[\"_design/\":\"_design0\"]:\n if not row.id.split('/')[1].startswith(prefix):\n continue\n views_ids_to_delete.append(row.id)\n\n name = 'heap_db' if self.name.endswith('_heap') else 'db'\n views_dir = vb.cfg.main_dir() + '_views/' + name + '/'\n if not os.path.exists(views_dir):\n print(views_dir)\n print('Skip %s views' % name)\n return\n\n view_files = glob.glob(views_dir + '*.py')\n for view_file in view_files:\n view_name = os.path.basename(view_file[:-3])\n if view_name == 'install':\n continue\n view_name = prefix + view_name\n view_id = '_design/' + view_name\n view_doc = {'language': 'python', 'views': {view_name: {}}}\n with open(view_file) as f:\n text = f.read()\n debug_pos = text.find('# debug')\n if debug_pos != -1:\n text = text[:debug_pos]\n reduce_pos = text.find('def reduce(')\n if reduce_pos == -1:\n map_text = text\n reduce_text = None\n else:\n map_text = text[:reduce_pos]\n reduce_text = text[reduce_pos:]\n view_doc['views'][view_name]['map'] = map_text\n if reduce_text:\n view_doc['views'][view_name]['reduce'] = reduce_text\n\n if view_id in db:\n old_view_doc = dict_(db[view_id])\n del old_view_doc._rev\n del old_view_doc._id\n if old_view_doc == view_doc:\n views_ids_to_delete.remove(view_id)\n continue\n else:\n print('Deleting', view_id)\n del db[view_id]\n\n print('Saving', view_id)\n db[view_id] = view_doc\n if view_id in views_ids_to_delete:\n views_ids_to_delete.remove(view_id)\n\n for design_id in views_ids_to_delete:\n print('Deleting', design_id)\n del db[design_id]\n\n def find(self, *args, **kwargs):\n '''\n Поиск документов в БД CouchDB 2 через /db/_find - http://docs.couchdb.org/en/2.0.0/api/database/find.html\n :param args: Q объекты с условиями запроса\n Пример запроса:\n find(Q(reestr_name__eq=u'Test1') | Q(reestr_name__eq=u'Test2')\n & Q(pi__normal__in=[u'золото', u'серебро']))\n __eq, __in - селекторы (см. CouchDB 2.0 селекторы)\n Через двойное нижнее подчеркивание ('__') передаются вложенные поля:\n pi__normal = doc['pi']['normal']\n :param kwargs:\n параметры:\n limit - кол-во документов\n простой запрос:\n find(reestr_name__eq=u'Test1')\n :return: документы соответсвующие запросу\n '''\n limit = kwargs.get('limit', 25)\n if args:\n query = args[0].P\n elif kwargs:\n query = Q(**kwargs).P\n else:\n raise Exception('Need query, for example: name__eq = \"Name\" or used Q for complex conditions')\n _, _, data = self.db.resource.post_json('_find', body={\"selector\": query, \"limit\": limit}, headers={\n 'Content-Type': 'application/json'}\n )\n return data['docs']\n"},{"alpha_fraction":0.7915058135986328,"alphanum_fraction":0.7953668236732483,"avg_line_length":12,"blob_id":"5d5929e7e49da08a7f95e6ed154000cb0ef204ba","content_id":"1041efd1592c0c37727f3b182deab8523cf09b25","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":259,"license_type":"no_license","max_line_length":29,"num_lines":20,"path":"/header.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import os\nimport re\nimport sys\nimport cherrypy\nimport jinja2\nimport hashlib\nimport subprocess\nimport couchdb\nimport json\nimport copy\n\nimport alt.cfg\nfrom alt.dict_ import dict_\n\nimport vb.couch\n\nimport vb.script\n# script = vb.script.Script()\n\n# import install"},{"alpha_fraction":0.4954954981803894,"alphanum_fraction":0.5,"avg_line_length":19.18181800842285,"blob_id":"51a348d82946006a15c73fb6a5cc1ad56085d47b","content_id":"11619d28ae4f9db075e655fb90b17312f5ab754c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":222,"license_type":"no_license","max_line_length":55,"num_lines":11,"path":"/_libs/vb/cfg.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import os\n\ndef main_dir():\n\n dir_ = os.path.dirname(__file__).replace('\\\\', '/')\n pos = dir_.rfind('/main/')\n if pos == -1:\n raise Exception('No main dir')\n dir_ = dir_[:pos] + '/main/'\n\n return dir_\n"},{"alpha_fraction":0.53899085521698,"alphanum_fraction":0.5412843823432922,"avg_line_length":25.8125,"blob_id":"5a372ebf42bb556405d2a52a0ccad27d6167193c","content_id":"58362b61d9d5b0bc824b9ac3985275c5b231cbca","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":436,"license_type":"no_license","max_line_length":62,"num_lines":16,"path":"/_libs/alt/cfg.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import yaml, os\nfrom alt.dict_ import dict_\n\ndef read(cfg_file=None):\n\n if not cfg_file:\n this_dir = os.path.dirname(__file__).replace('\\\\','/')\n main_pos = this_dir.rfind('/main/')\n if main_pos==-1:\n raise Exception('Can not find main dir')\n cfg_file = this_dir[:main_pos] + '/main/_cfg/main.cfg'\n\n with open(cfg_file) as f:\n cfg = yaml.load(f)\n \n return dict_(cfg) "},{"alpha_fraction":0.6327372789382935,"alphanum_fraction":0.6492434740066528,"avg_line_length":33.66666793823242,"blob_id":"665236448a29c38acfab09e43c03304f051ee9bf","content_id":"cfb24a51c3ed2c7c3e6bc834412573c7806829c9","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":912,"license_type":"no_license","max_line_length":109,"num_lines":21,"path":"/test.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import alt_path\nfrom header import *\nfrom vb.couch import Q\n\n\ncfg = alt.cfg.read()\nroot_url = 'http://' + cfg.root_url\ndb = vb.couch.DB(cfg.db)\nheap_db = vb.couch.DB(cfg.db + '_heap')\n\ndata1 = db.find(reestr_name__eq=u'Иркутск', limit=50)\ndata2 = db.find(Q(reestr_name__eq=u'Иркутск')\n & (Q(полезное_ископаемое__название_нормализованное__in=['золото россыпное', 'золото рудное'])\n | Q(полезное_ископаемое__название_нормализованное__eq=\"бром\")), limit=40)\nprint('data1 length', len(data1))\nprint('data2 length', len(data2))\nprint('data2 docs:')\nfor doc in data2:\n print(doc['reestr_name'],\n doc['название_объекта'],\n doc['полезное_ископаемое']['название_нормализованное'])"},{"alpha_fraction":0.6279250979423523,"alphanum_fraction":0.6287051439285278,"avg_line_length":24.117647171020508,"blob_id":"efb507ceac3847c5111a701e3f7416915a18a02b","content_id":"bacd5a133e7066a178a0f5db0ad867014a8ad3cf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1341,"license_type":"no_license","max_line_length":91,"num_lines":51,"path":"/_libs/vb/script.py","repo_name":"pirr/alt_couch","src_encoding":"UTF-8","text":"import alt_path\nfrom alt.dict_ import dict_\nimport alt.time\nimport psutil, subprocess, sys, os\n\ndef find_by_name(root, script_name):\n\n view = root.db.view('www-scripts_by_name')\n rows = view[script_name].rows\n if not rows:\n return dict_(error='Скрипт не существует')\n script_doc = root.db[rows[0].id]\n\n return script_doc\n\n# TODO переписать более акккуратно, возможны коллизии\ndef run(root, script_name, params=dict_()):\n\n script_doc = find_by_name(root, script_name)\n script_id = script_doc._id\n\n run_doc = dict_(type='run', script_id=script_id, params=params, ctime=alt.time.mtime(),\n status='WAIT')\n run_id = root.heap_db.new_id(run_doc)\n\n return run_id\n\ndef os_pid_running(pid):\n\n if not psutil.pid_exists(pid):\n return False\n\n proc = psutil.Process(pid)\n if proc.is_running():\n if proc.status() == psutil.STATUS_ZOMBIE:\n return False\n\n return proc.is_running()\n\ndef report(root, run_id):\n\n report_id = run_id+'_report'\n if report_id in root.heap_db:\n report_doc = root.heap_db[report_id]\n return report_doc\n\n run_doc = root.heap_db[run_id]\n if os_pid_running(run_doc.os_pid):\n return dict_(status='RUN')\n else:\n return dict_(status='FATAL')\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.468490868806839,\n \"alphanum_fraction\": 0.47097843885421753,\n \"avg_line_length\": 28.02409553527832,\n \"blob_id\": \"025d55c00b4655d2e6ff5307cde657225e477188\",\n \"content_id\": \"5098c81a0cc9c8b2e3a0979cacc47b01f7d979de\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2412,\n \"license_type\": \"no_license\",\n \"max_line_length\": 75,\n \"num_lines\": 83,\n \"path\": \"/_libs/alt/dict_.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import yaml, json, copy\\n\\nclass dict_(dict):\\n \\n def __init__(self, *args, **kwargs):\\n super(dict_, self).__init__(*args, **kwargs)\\n for name,item in self.items():\\n if isinstance(item,dict):\\n self[name] = dict_(item)\\n if isinstance(item,list):\\n for ilist,listitem in enumerate(item):\\n if isinstance(listitem,dict):\\n item[ilist]=dict_(listitem)\\n self.__dict__ = self\\n\\n def set_(self, path, value):\\n\\n pos = path.find('.')\\n if pos==-1:\\n self[path] = value\\n else:\\n if path[:pos] not in self:\\n self[path[:pos]] = dict_()\\n self[path[:pos]].set_(path[pos+1:], value)\\n\\n def get_(self, path, default=None):\\n\\n pos = path.find('.')\\n if pos==-1:\\n if path in self:\\n return self[path]\\n else:\\n return default\\n else:\\n if path[:pos] not in self:\\n return default\\n else:\\n return self[path[:pos]].get_(path[pos+1:], default=default)\\n\\n def del_(self, path):\\n\\n pos = path.find('.')\\n if pos==-1:\\n if path in self:\\n del self[path]\\n else:\\n if path[:pos] in self:\\n self[path[:pos]].del_(path[pos+1:])\\n if not self[path[:pos]]:\\n del self[path[:pos]]\\n\\n def remove_empty(self):\\n\\n remove = []\\n for name, value in self.items():\\n if isinstance(value, (str, dict_, dict, list)) and not value:\\n remove.append(name)\\n continue\\n if isinstance(value,dict):\\n self[name].remove_empty()\\n elif isinstance(value,list):\\n for ilist, listvalue in enumerate(value):\\n if isinstance(listvalue,dict):\\n value[ilist].remove_empty()\\n for name in remove:\\n del self[name]\\n\\n def equal(self, doc, ignore=[]):\\n\\n self_doc = copy.deepcopy(self)\\n for field in ignore:\\n if field in self_doc:\\n del self_doc[field]\\n if field in doc:\\n del doc[field]\\n\\n return json.dumps(self_doc) == json.dumps(doc)\\n\\n def to_yaml(self):\\n\\n self_doc = copy.deepcopy(self)\\n\\n return yaml.dump(self_doc)\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.613043487071991,\n \"alphanum_fraction\": 0.613043487071991,\n \"avg_line_length\": 26.058822631835938,\n \"blob_id\": \"79abf59f59c24130b794f5768ca756f7ed475244\",\n \"content_id\": \"ccddda5d194b977d839140af1e5b161dd40d79b6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 460,\n \"license_type\": \"no_license\",\n \"max_line_length\": 66,\n \"num_lines\": 17,\n \"path\": \"/_libs/vb/www.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import cherrypy, urllib.parse\\nfrom alt.dict_ import dict_\\n\\ndef form_params(kwargs, default=None):\\n\\n params = dict_()\\n for key, value in kwargs.items():\\n if value!='':\\n params[key] = value\\n\\n if (cherrypy.request.method=='POST' and params) or not kwargs:\\n if not kwargs:\\n params = default\\n cgi = urllib.parse.urlencode(params)\\n raise cherrypy.HTTPRedirect(cherrypy.url() + '?' + cgi)\\n\\n return params\\n\"\n },\n {\n \"alpha_fraction\": 0.48801475763320923,\n \"alphanum_fraction\": 0.5082975029945374,\n \"avg_line_length\": 21.27397346496582,\n \"blob_id\": \"81f17b011817a698dae7b225b70794099f450d01\",\n \"content_id\": \"48d1dd0823851a5e9ecf3ac232d460eaa1bef702\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1627,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 73,\n \"path\": \"/_libs/alt/time.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from __future__ import absolute_import\\nfrom datetime import datetime, timedelta\\n\\ndef today_utc_iso():\\n \\n return datetime.utcnow().strftime('%Y-%m-%d')\\n \\ndef today_utc():\\n \\n return datetime.utcnow().date()\\n \\ndef today_iso():\\n \\n return datetime.now().strftime('%Y-%m-%d')\\n \\ndef iso(dt):\\n \\n if dt.__class__.__name__=='date':\\n return dt.strftime('%Y-%m-%d')\\n else:\\n return dt.strftime('%Y-%m-%d %H:%M:%S')\\n\\ndef from_iso(iso):\\n \\n if len(iso)==19:\\n return datetime.strptime(iso,'%Y-%m-%d %H:%M:%S')\\n \\n if len(iso)==10:\\n return datetime.strptime(iso,'%Y-%m-%d').date()\\n\\ndef now_iso():\\n \\n return datetime.now().strftime('%Y-%m-%d %H:%M:%S') \\n \\ndef now_utc_iso():\\n \\n return datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S') \\n\\ndef mtime():\\n \\n return datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S') \\n\\ndef www_format_mtime(time_iso, error_time_diff=None, with_date=True):\\n \\n dt = from_iso(time_iso)\\n \\n dt = dt + timedelta(hours=8)\\n \\n st = datetime.strftime(dt,'%H:%M')\\n\\n diff = datetime.now()-dt\\n diff = int(diff.total_seconds())\\n h = diff // 3600\\n m = (diff-h*3600) // 60\\n sd = '({0:02d}:{1:02d})'.format(h,m)\\n \\n if diff > 3600*24:\\n if with_date:\\n res = datetime.strftime(dt,'%d.%m %H:%M')\\n else:\\n res = st\\n elif diff > 60*30:\\n res = st + ' ' + sd\\n else:\\n res = sd\\n \\n if error_time_diff:\\n if diff/60 > error_time_diff:\\n return res, 'ERROR'\\n else:\\n return res, ''\\n else:\\n return res\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.4943203628063202,\n \"alphanum_fraction\": 0.4972558915615082,\n \"avg_line_length\": 30.465864181518555,\n \"blob_id\": \"e2fb42fc3963037a67d8f960596b8f159084fe5b\",\n \"content_id\": \"6d73fe19e851d31d6c6b376a2576fe62bbca2629\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8127,\n \"license_type\": \"no_license\",\n \"max_line_length\": 113,\n \"num_lines\": 249,\n \"path\": \"/_libs/vb/couch.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import couchdb, glob, os, socket, cherrypy\\nfrom functools import reduce\\nfrom alt.dict_ import dict_\\nimport alt.time, vb.cfg\\n\\n\\ndef create(db_name):\\n server = couchdb.Server()\\n server.resource.credentials = ('admin', 'admin')\\n if db_name not in server:\\n server.create(db_name)\\n\\n\\nclass Q:\\n '''\\n Основной объект для составления запроса\\n '''\\n OR = '$or'\\n AND = '$and'\\n\\n def __init__(self, **kwarg):\\n self.field_cond = list(kwarg.keys())[0]\\n self.val = list(kwarg.values())[0]\\n\\n @property\\n def P(self):\\n field_cond_list = self.field_cond.split('__')\\n field = field_cond_list[:-1]\\n cond = '$' + field_cond_list[-1]\\n parsed_field_cond = reduce(lambda x, y: {y: x},\\n reversed(field + [cond, self.val]))\\n return parsed_field_cond\\n\\n def _combine(self, other, cond):\\n query = dict()\\n query[cond] = [self.P, other.P]\\n return _FQ(query)\\n\\n def __or__(self, other):\\n return self._combine(other, self.OR)\\n\\n def __and__(self, other):\\n return self._combine(other, self.AND)\\n\\n\\nclass _FQ(Q):\\n '''\\n Вспомогательный объект для составления запросов\\n '''\\n def __init__(self, val):\\n self.val = val\\n\\n @property\\n def P(self):\\n return self.val\\n\\n\\nclass DB:\\n def __init__(self, name, admin=False, user_id=None):\\n\\n self.name = name\\n self.host = socket.gethostname()\\n self.server = couchdb.Server()\\n self.user_id = user_id\\n if admin:\\n self.server.resource.credentials = ('admin', 'admin')\\n self.db = self.server[name]\\n\\n def __contains__(self, doc_id):\\n\\n return doc_id in self.db\\n\\n def __getitem__(self, doc_id):\\n\\n return dict_(self.db[doc_id])\\n\\n def __setitem__(self, doc_id, doc):\\n\\n if 'type' not in doc:\\n raise Exception('No type')\\n doc.mhost = self.host\\n doc.mtime = alt.time.mtime()\\n self.db[doc_id] = doc\\n\\n def __delitem__(self, key):\\n\\n del self.db[key]\\n\\n def check(self, doc, user_id=None):\\n\\n if 'type' not in doc:\\n raise Exception('No type in doc')\\n if user_id is None:\\n if self.user_id is not None:\\n doc.user_id = self.user_id\\n else:\\n doc.user_id = cherrypy.session['user_id']\\n else:\\n doc.user_id = user_id\\n if 'user_id' not in doc:\\n raise Exception('No user_id in doc')\\n doc.mhost = self.host\\n doc.mtime = alt.time.mtime()\\n\\n def new_id(self, doc, user_id=None):\\n\\n self.check(doc, user_id=user_id)\\n doc_id, _ = self.db.save(doc)\\n print('Saved', doc_id)\\n\\n return doc_id\\n\\n def new(self, doc_id, doc, user_id=None):\\n\\n self.check(doc, user_id=user_id)\\n self.db[doc_id] = doc\\n print('Saved', doc_id)\\n\\n def save(self, doc_id, doc, user_id=None, exception=True):\\n\\n self.check(doc, user_id=user_id)\\n doc.remove_empty()\\n try:\\n if doc_id in self.db:\\n if doc.equal(self.db[doc_id], ignore=['host', 'mtime', 'user_id']):\\n if exception:\\n raise Exception('Nothing changed')\\n else:\\n return 'SAME'\\n self.db[doc_id] = doc\\n except couchdb.ResourceConflict:\\n if exception:\\n raise Exception('Version conflict')\\n else:\\n return 'CONFLICT'\\n\\n return ''\\n\\n def view(self, name, **options):\\n\\n return self.db.view(name + '/' + name, **options)\\n\\n def force_save(self, doc_id, doc):\\n\\n self.check(doc)\\n doc.remove_empty()\\n for itry in range(10):\\n try:\\n if doc_id in self.db:\\n if doc.equal(self.db[doc_id], ignore=['host', 'mtime', 'user_id']):\\n return 'SAME'\\n rev = self.db[doc_id]['_rev']\\n doc._rev = rev\\n self.db[doc_id] = doc\\n except couchdb.ResourceConflict:\\n continue\\n\\n def install_views(self, prefix):\\n\\n server = couchdb.Server()\\n server.resource.credentials = ('admin', 'admin')\\n db = server[self.name]\\n prefix = prefix + '-'\\n\\n views_ids_to_delete = []\\n for row in db.view('_all_docs')[\\\"_design/\\\":\\\"_design0\\\"]:\\n if not row.id.split('/')[1].startswith(prefix):\\n continue\\n views_ids_to_delete.append(row.id)\\n\\n name = 'heap_db' if self.name.endswith('_heap') else 'db'\\n views_dir = vb.cfg.main_dir() + '_views/' + name + '/'\\n if not os.path.exists(views_dir):\\n print(views_dir)\\n print('Skip %s views' % name)\\n return\\n\\n view_files = glob.glob(views_dir + '*.py')\\n for view_file in view_files:\\n view_name = os.path.basename(view_file[:-3])\\n if view_name == 'install':\\n continue\\n view_name = prefix + view_name\\n view_id = '_design/' + view_name\\n view_doc = {'language': 'python', 'views': {view_name: {}}}\\n with open(view_file) as f:\\n text = f.read()\\n debug_pos = text.find('# debug')\\n if debug_pos != -1:\\n text = text[:debug_pos]\\n reduce_pos = text.find('def reduce(')\\n if reduce_pos == -1:\\n map_text = text\\n reduce_text = None\\n else:\\n map_text = text[:reduce_pos]\\n reduce_text = text[reduce_pos:]\\n view_doc['views'][view_name]['map'] = map_text\\n if reduce_text:\\n view_doc['views'][view_name]['reduce'] = reduce_text\\n\\n if view_id in db:\\n old_view_doc = dict_(db[view_id])\\n del old_view_doc._rev\\n del old_view_doc._id\\n if old_view_doc == view_doc:\\n views_ids_to_delete.remove(view_id)\\n continue\\n else:\\n print('Deleting', view_id)\\n del db[view_id]\\n\\n print('Saving', view_id)\\n db[view_id] = view_doc\\n if view_id in views_ids_to_delete:\\n views_ids_to_delete.remove(view_id)\\n\\n for design_id in views_ids_to_delete:\\n print('Deleting', design_id)\\n del db[design_id]\\n\\n def find(self, *args, **kwargs):\\n '''\\n Поиск документов в БД CouchDB 2 через /db/_find - http://docs.couchdb.org/en/2.0.0/api/database/find.html\\n :param args: Q объекты с условиями запроса\\n Пример запроса:\\n find(Q(reestr_name__eq=u'Test1') | Q(reestr_name__eq=u'Test2')\\n & Q(pi__normal__in=[u'золото', u'серебро']))\\n __eq, __in - селекторы (см. CouchDB 2.0 селекторы)\\n Через двойное нижнее подчеркивание ('__') передаются вложенные поля:\\n pi__normal = doc['pi']['normal']\\n :param kwargs:\\n параметры:\\n limit - кол-во документов\\n простой запрос:\\n find(reestr_name__eq=u'Test1')\\n :return: документы соответсвующие запросу\\n '''\\n limit = kwargs.get('limit', 25)\\n if args:\\n query = args[0].P\\n elif kwargs:\\n query = Q(**kwargs).P\\n else:\\n raise Exception('Need query, for example: name__eq = \\\"Name\\\" or used Q for complex conditions')\\n _, _, data = self.db.resource.post_json('_find', body={\\\"selector\\\": query, \\\"limit\\\": limit}, headers={\\n 'Content-Type': 'application/json'}\\n )\\n return data['docs']\\n\"\n },\n {\n \"alpha_fraction\": 0.7915058135986328,\n \"alphanum_fraction\": 0.7953668236732483,\n \"avg_line_length\": 12,\n \"blob_id\": \"5d5929e7e49da08a7f95e6ed154000cb0ef204ba\",\n \"content_id\": \"1041efd1592c0c37727f3b182deab8523cf09b25\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 259,\n \"license_type\": \"no_license\",\n \"max_line_length\": 29,\n \"num_lines\": 20,\n \"path\": \"/header.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import os\\nimport re\\nimport sys\\nimport cherrypy\\nimport jinja2\\nimport hashlib\\nimport subprocess\\nimport couchdb\\nimport json\\nimport copy\\n\\nimport alt.cfg\\nfrom alt.dict_ import dict_\\n\\nimport vb.couch\\n\\nimport vb.script\\n# script = vb.script.Script()\\n\\n# import install\"\n },\n {\n \"alpha_fraction\": 0.4954954981803894,\n \"alphanum_fraction\": 0.5,\n \"avg_line_length\": 19.18181800842285,\n \"blob_id\": \"51a348d82946006a15c73fb6a5cc1ad56085d47b\",\n \"content_id\": \"11619d28ae4f9db075e655fb90b17312f5ab754c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 222,\n \"license_type\": \"no_license\",\n \"max_line_length\": 55,\n \"num_lines\": 11,\n \"path\": \"/_libs/vb/cfg.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import os\\n\\ndef main_dir():\\n\\n dir_ = os.path.dirname(__file__).replace('\\\\\\\\', '/')\\n pos = dir_.rfind('/main/')\\n if pos == -1:\\n raise Exception('No main dir')\\n dir_ = dir_[:pos] + '/main/'\\n\\n return dir_\\n\"\n },\n {\n \"alpha_fraction\": 0.53899085521698,\n \"alphanum_fraction\": 0.5412843823432922,\n \"avg_line_length\": 25.8125,\n \"blob_id\": \"5a372ebf42bb556405d2a52a0ccad27d6167193c\",\n \"content_id\": \"58362b61d9d5b0bc824b9ac3985275c5b231cbca\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 436,\n \"license_type\": \"no_license\",\n \"max_line_length\": 62,\n \"num_lines\": 16,\n \"path\": \"/_libs/alt/cfg.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import yaml, os\\nfrom alt.dict_ import dict_\\n\\ndef read(cfg_file=None):\\n\\n if not cfg_file:\\n this_dir = os.path.dirname(__file__).replace('\\\\\\\\','/')\\n main_pos = this_dir.rfind('/main/')\\n if main_pos==-1:\\n raise Exception('Can not find main dir')\\n cfg_file = this_dir[:main_pos] + '/main/_cfg/main.cfg'\\n\\n with open(cfg_file) as f:\\n cfg = yaml.load(f)\\n \\n return dict_(cfg) \"\n },\n {\n \"alpha_fraction\": 0.6327372789382935,\n \"alphanum_fraction\": 0.6492434740066528,\n \"avg_line_length\": 33.66666793823242,\n \"blob_id\": \"665236448a29c38acfab09e43c03304f051ee9bf\",\n \"content_id\": \"cfb24a51c3ed2c7c3e6bc834412573c7806829c9\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 912,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 21,\n \"path\": \"/test.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import alt_path\\nfrom header import *\\nfrom vb.couch import Q\\n\\n\\ncfg = alt.cfg.read()\\nroot_url = 'http://' + cfg.root_url\\ndb = vb.couch.DB(cfg.db)\\nheap_db = vb.couch.DB(cfg.db + '_heap')\\n\\ndata1 = db.find(reestr_name__eq=u'Иркутск', limit=50)\\ndata2 = db.find(Q(reestr_name__eq=u'Иркутск')\\n & (Q(полезное_ископаемое__название_нормализованное__in=['золото россыпное', 'золото рудное'])\\n | Q(полезное_ископаемое__название_нормализованное__eq=\\\"бром\\\")), limit=40)\\nprint('data1 length', len(data1))\\nprint('data2 length', len(data2))\\nprint('data2 docs:')\\nfor doc in data2:\\n print(doc['reestr_name'],\\n doc['название_объекта'],\\n doc['полезное_ископаемое']['название_нормализованное'])\"\n },\n {\n \"alpha_fraction\": 0.6279250979423523,\n \"alphanum_fraction\": 0.6287051439285278,\n \"avg_line_length\": 24.117647171020508,\n \"blob_id\": \"efb507ceac3847c5111a701e3f7416915a18a02b\",\n \"content_id\": \"bacd5a133e7066a178a0f5db0ad867014a8ad3cf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1341,\n \"license_type\": \"no_license\",\n \"max_line_length\": 91,\n \"num_lines\": 51,\n \"path\": \"/_libs/vb/script.py\",\n \"repo_name\": \"pirr/alt_couch\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import alt_path\\nfrom alt.dict_ import dict_\\nimport alt.time\\nimport psutil, subprocess, sys, os\\n\\ndef find_by_name(root, script_name):\\n\\n view = root.db.view('www-scripts_by_name')\\n rows = view[script_name].rows\\n if not rows:\\n return dict_(error='Скрипт не существует')\\n script_doc = root.db[rows[0].id]\\n\\n return script_doc\\n\\n# TODO переписать более акккуратно, возможны коллизии\\ndef run(root, script_name, params=dict_()):\\n\\n script_doc = find_by_name(root, script_name)\\n script_id = script_doc._id\\n\\n run_doc = dict_(type='run', script_id=script_id, params=params, ctime=alt.time.mtime(),\\n status='WAIT')\\n run_id = root.heap_db.new_id(run_doc)\\n\\n return run_id\\n\\ndef os_pid_running(pid):\\n\\n if not psutil.pid_exists(pid):\\n return False\\n\\n proc = psutil.Process(pid)\\n if proc.is_running():\\n if proc.status() == psutil.STATUS_ZOMBIE:\\n return False\\n\\n return proc.is_running()\\n\\ndef report(root, run_id):\\n\\n report_id = run_id+'_report'\\n if report_id in root.heap_db:\\n report_doc = root.heap_db[report_id]\\n return report_doc\\n\\n run_doc = root.heap_db[run_id]\\n if os_pid_running(run_doc.os_pid):\\n return dict_(status='RUN')\\n else:\\n return dict_(status='FATAL')\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":9,"string":"9"}}},{"rowIdx":2984173,"cells":{"repo_name":{"kind":"string","value":"yalmeidarj/blackjack"},"repo_url":{"kind":"string","value":"https://github.com/yalmeidarj/blackjack"},"snapshot_id":{"kind":"string","value":"0bf1aec1093d712538a75136f03a78a7644a6992"},"revision_id":{"kind":"string","value":"36d4bb07babb47198723e8fae1b59989497111da"},"directory_id":{"kind":"string","value":"041b538944fcd6ca5637d27a87e5e249c28d97f0"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-08-05T16:51:08.593981","string":"2023-08-05T16:51:08.593981"},"revision_date":{"kind":"timestamp","value":"2021-10-11T11:52:46","string":"2021-10-11T11:52:46"},"committer_date":{"kind":"timestamp","value":"2021-10-11T11:52:46","string":"2021-10-11T11:52:46"},"github_id":{"kind":"number","value":408614031,"string":"408,614,031"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5175005793571472,"alphanum_fraction":0.5461592674255371,"avg_line_length":33.77049255371094,"blob_id":"31925862ddb8607725b74cd6bfc06793ad2943f5","content_id":"996d8883373b3f1d66c58535c0e7a5b5a3bcbbaa","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4257,"license_type":"no_license","max_line_length":97,"num_lines":122,"path":"/main.py","repo_name":"yalmeidarj/blackjack","src_encoding":"UTF-8","text":"############### Our Blackjack House Rules #####################\n\n## The deck is unlimited in size. \n## There are no jokers. \n## The Jack/Queen/King all count as 10.\n## The the Ace can count as 11 or 1.\n## Use the following list as the deck of cards:\n## cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\n## The cards in the list have equal probability of being drawn.\n## Cards are not removed from the deck as they are drawn.\n## The computer is the dealer.\n\n##########################################\nimport random\nuser_score_list = []\ndealer_score_list = []\n\n\ndef get_card(player):\n \"\"\"Return a random card value\"\"\"\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\n card = random.choice(cards)\n player.append(card)\n return card\n\n\ndef check_for_11(player):\n '''check for the appearance of card\"11\" and, if total score > 21, replaces value to one.'''\n if 11 in player:\n if sum(player) > 21:\n for item in player:\n if item == 11:\n card_index = player.index(item)\n player[card_index] = 1\n return player\n\n\ndef check_winner(n1, n2):\n '''compare scores and and checks game logic to define winner'''\n user_score = sum(n1)\n dealer_score = sum(n2)\n if user_score > 21 and dealer_score < 21:\n winner = (\"dealer\")\n return winner\n elif user_score > 21 and dealer_score > 21:\n winner = (\"tie\")\n return winner\n elif user_score < 21 and dealer_score < 21:\n if user_score > dealer_score:\n winner = (\"user\")\n return winner\n elif user_score < dealer_score:\n winner = (\"dealer\")\n return winner\n elif user_score == dealer_score:\n winner = (\"tie\")\n return winner\n elif user_score < 21 and dealer_score > 21:\n winner = (\"user\")\n return winner\n elif user_score == 21 and dealer_score < 21:\n winner = (\"user\")\n return winner\n elif user_score == 21 and dealer_score == 21:\n winner = (\"tie\")\n return winner\n elif user_score == 21 and dealer_score > 21:\n winner = (\"user\")\n return winner\n elif user_score > 21 and dealer_score == 21:\n winner = (\"dealer\")\n return winner\n elif user_score < 21 and dealer_score == 21:\n winner = (\"dealer\")\n return winner\n\n\ndef keep_playing():\n while sum(user_score_list) < 21 and sum(dealer_score_list) < 21:\n print(\n f'Your total score is {sum(user_score_list)}, your cards are:{user_score_list}')\n print(f\"Dealer's first card is {dealer_first_card}\")\n should_continue = input(\n \"Type 'y' to get another card, type 'n' to pass: \")\n if should_continue == 'y':\n get_card(user_score_list)\n if sum(dealer_score_list) <= 17:\n get_card(dealer_score_list)\n else:\n if sum(dealer_score_list) <= 17:\n get_card(dealer_score_list)\n check_for_11(user_score_list)\n check_for_11(dealer_score_list)\n if sum(user_score_list) < 21 and sum(dealer_score_list) < 21:\n keep_playing()\n # print( f'The winner is {check_winner(user_score_list, dealer_score_list)}')\n else:\n if should_continue == 'n':\n check_for_11(user_score_list)\n check_for_11(dealer_score_list)\n print(\n f'The winner is {check_winner(user_score_list, dealer_score_list)}')\n break\n else:\n check_for_11(user_score_list)\n check_for_11(dealer_score_list)\n if sum(user_score_list) < 21 and sum(dealer_score_list) < 21:\n keep_playing()\n else:\n return print(f'The winner is {check_winner(user_score_list, dealer_score_list)}')\n\n\nstart_game = input(\n \"Do you want to play a game of Blackjack? Type 'y' or 'n': \")\nif start_game == 'y':\n get_card(user_score_list)\n dealer_first_card = get_card(dealer_score_list)\n get_card(user_score_list)\n keep_playing()\n\nprint(\n f'User score list = {user_score_list} /n Dealer score list = {dealer_score_list}')\t\n\t\t\n\n\t\n\t\t\n\t\n\n\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5175005793571472,\n \"alphanum_fraction\": 0.5461592674255371,\n \"avg_line_length\": 33.77049255371094,\n \"blob_id\": \"31925862ddb8607725b74cd6bfc06793ad2943f5\",\n \"content_id\": \"996d8883373b3f1d66c58535c0e7a5b5a3bcbbaa\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4257,\n \"license_type\": \"no_license\",\n \"max_line_length\": 97,\n \"num_lines\": 122,\n \"path\": \"/main.py\",\n \"repo_name\": \"yalmeidarj/blackjack\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"############### Our Blackjack House Rules #####################\\n\\n## The deck is unlimited in size. \\n## There are no jokers. \\n## The Jack/Queen/King all count as 10.\\n## The the Ace can count as 11 or 1.\\n## Use the following list as the deck of cards:\\n## cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\\n## The cards in the list have equal probability of being drawn.\\n## Cards are not removed from the deck as they are drawn.\\n## The computer is the dealer.\\n\\n##########################################\\nimport random\\nuser_score_list = []\\ndealer_score_list = []\\n\\n\\ndef get_card(player):\\n \\\"\\\"\\\"Return a random card value\\\"\\\"\\\"\\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\\n card = random.choice(cards)\\n player.append(card)\\n return card\\n\\n\\ndef check_for_11(player):\\n '''check for the appearance of card\\\"11\\\" and, if total score > 21, replaces value to one.'''\\n if 11 in player:\\n if sum(player) > 21:\\n for item in player:\\n if item == 11:\\n card_index = player.index(item)\\n player[card_index] = 1\\n return player\\n\\n\\ndef check_winner(n1, n2):\\n '''compare scores and and checks game logic to define winner'''\\n user_score = sum(n1)\\n dealer_score = sum(n2)\\n if user_score > 21 and dealer_score < 21:\\n winner = (\\\"dealer\\\")\\n return winner\\n elif user_score > 21 and dealer_score > 21:\\n winner = (\\\"tie\\\")\\n return winner\\n elif user_score < 21 and dealer_score < 21:\\n if user_score > dealer_score:\\n winner = (\\\"user\\\")\\n return winner\\n elif user_score < dealer_score:\\n winner = (\\\"dealer\\\")\\n return winner\\n elif user_score == dealer_score:\\n winner = (\\\"tie\\\")\\n return winner\\n elif user_score < 21 and dealer_score > 21:\\n winner = (\\\"user\\\")\\n return winner\\n elif user_score == 21 and dealer_score < 21:\\n winner = (\\\"user\\\")\\n return winner\\n elif user_score == 21 and dealer_score == 21:\\n winner = (\\\"tie\\\")\\n return winner\\n elif user_score == 21 and dealer_score > 21:\\n winner = (\\\"user\\\")\\n return winner\\n elif user_score > 21 and dealer_score == 21:\\n winner = (\\\"dealer\\\")\\n return winner\\n elif user_score < 21 and dealer_score == 21:\\n winner = (\\\"dealer\\\")\\n return winner\\n\\n\\ndef keep_playing():\\n while sum(user_score_list) < 21 and sum(dealer_score_list) < 21:\\n print(\\n f'Your total score is {sum(user_score_list)}, your cards are:{user_score_list}')\\n print(f\\\"Dealer's first card is {dealer_first_card}\\\")\\n should_continue = input(\\n \\\"Type 'y' to get another card, type 'n' to pass: \\\")\\n if should_continue == 'y':\\n get_card(user_score_list)\\n if sum(dealer_score_list) <= 17:\\n get_card(dealer_score_list)\\n else:\\n if sum(dealer_score_list) <= 17:\\n get_card(dealer_score_list)\\n check_for_11(user_score_list)\\n check_for_11(dealer_score_list)\\n if sum(user_score_list) < 21 and sum(dealer_score_list) < 21:\\n keep_playing()\\n # print( f'The winner is {check_winner(user_score_list, dealer_score_list)}')\\n else:\\n if should_continue == 'n':\\n check_for_11(user_score_list)\\n check_for_11(dealer_score_list)\\n print(\\n f'The winner is {check_winner(user_score_list, dealer_score_list)}')\\n break\\n else:\\n check_for_11(user_score_list)\\n check_for_11(dealer_score_list)\\n if sum(user_score_list) < 21 and sum(dealer_score_list) < 21:\\n keep_playing()\\n else:\\n return print(f'The winner is {check_winner(user_score_list, dealer_score_list)}')\\n\\n\\nstart_game = input(\\n \\\"Do you want to play a game of Blackjack? Type 'y' or 'n': \\\")\\nif start_game == 'y':\\n get_card(user_score_list)\\n dealer_first_card = get_card(dealer_score_list)\\n get_card(user_score_list)\\n keep_playing()\\n\\nprint(\\n f'User score list = {user_score_list} /n Dealer score list = {dealer_score_list}')\\t\\n\\t\\t\\n\\n\\t\\n\\t\\t\\n\\t\\n\\n\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2984174,"cells":{"repo_name":{"kind":"string","value":"DragosNicuDev/myhub"},"repo_url":{"kind":"string","value":"https://github.com/DragosNicuDev/myhub"},"snapshot_id":{"kind":"string","value":"51ad48bf2bc8694ca8fb2e7dbc5c934191377f3e"},"revision_id":{"kind":"string","value":"00f915b92b5cb7afd571811c5e020cfe9dcbb3ea"},"directory_id":{"kind":"string","value":"ce51ded676c92eaf490b87aa1d278a7a17a9bb9a"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-01-10T16:03:38.800145","string":"2023-01-10T16:03:38.800145"},"revision_date":{"kind":"timestamp","value":"2018-02-10T13:51:57","string":"2018-02-10T13:51:57"},"committer_date":{"kind":"timestamp","value":"2018-02-10T13:51:57","string":"2018-02-10T13:51:57"},"github_id":{"kind":"number","value":119671132,"string":"119,671,132"},"star_events_count":{"kind":"number","value":1,"string":"1"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"string","value":"MIT"},"gha_created_at":{"kind":"timestamp","value":"2018-01-31T10:16:43","string":"2018-01-31T10:16:43"},"gha_updated_at":{"kind":"timestamp","value":"2018-02-11T19:07:18","string":"2018-02-11T19:07:18"},"gha_pushed_at":{"kind":"timestamp","value":"2022-12-26T20:36:58","string":"2022-12-26T20:36:58"},"gha_language":{"kind":"string","value":"CSS"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6789743304252625,"alphanum_fraction":0.6789743304252625,"avg_line_length":29.46875,"blob_id":"d64361692fe6156ce2c0185d281fb344bf037764","content_id":"233b106c594ea3e2c8a536ae08e14255fb315142","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":975,"license_type":"permissive","max_line_length":81,"num_lines":32,"path":"/events/tests.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"from django.test import TestCase\n\nfrom django.core.files.uploadedfile import SimpleUploadedFile\nfrom django.utils import timezone\n\nfrom .models import Event\nfrom myhub_events.users.models import User\n\n\n# Create your tests here.\nclass EventModelTest(TestCase):\n\n def setUp(self):\n Event.objects.create(\n event_title='My entry title',\n event_slug='my-entry-title',\n event_date_created=timezone.now(),\n event_user=User.objects.create(username='dragos'))\n\n def test_string_representation(self):\n event = Event.objects.first()\n self.assertEqual(str(event), event.event_title)\n\n def test_event_title(self):\n event = Event.objects.first()\n self.assertEqual(str(event), event.event_title)\n\n def test_event_slug(self):\n event = Event.objects.first()\n slug = Event(event_title=event.event_title, event_slug=event.event_title)\n\n self.assertEqual(str(slug), slug.event_slug)\n"},{"alpha_fraction":0.6137183904647827,"alphanum_fraction":0.6371841430664062,"avg_line_length":41.61538314819336,"blob_id":"c08fe8550e1d1e262cb3ae37513ebdf40ef337e6","content_id":"f2604b0e5c5ecbb131a5814cb480910b961c007e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1108,"license_type":"permissive","max_line_length":140,"num_lines":26,"path":"/events/migrations/0006_eventlocation.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.9 on 2018-02-06 13:14\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('events', '0005_eventdescription'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='EventLocation',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('event_location_name', models.CharField(blank=True, max_length=80, null=True, verbose_name='Name of the location')),\n ('event_location_address', models.CharField(blank=True, max_length=256, null=True, verbose_name='Address of the location')),\n ('event_location_datetime', models.DateTimeField(blank=True, null=True, verbose_name='Date and Time at the location')),\n ('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='event_location', to='events.Event')),\n ],\n ),\n ]\n"},{"alpha_fraction":0.592024564743042,"alphanum_fraction":0.6134969592094421,"avg_line_length":29.5625,"blob_id":"7b029b559645e57631dac98861e0a0490abdbb31","content_id":"d8f0463e3dab8b7b7342e89685e7d825ace712bb","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":978,"license_type":"permissive","max_line_length":110,"num_lines":32,"path":"/events/migrations/0004_auto_20180205_1704.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.9 on 2018-02-05 17:04\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.utils.timezone\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('events', '0003_eventdateandtime'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='eventdateandtime',\n name='event_dateandtime',\n ),\n migrations.AddField(\n model_name='eventdateandtime',\n name='event_end_date',\n field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='End Date and Time'),\n preserve_default=False,\n ),\n migrations.AddField(\n model_name='eventdateandtime',\n name='event_start_date',\n field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='Start Date and Time'),\n preserve_default=False,\n ),\n ]\n"},{"alpha_fraction":0.5988737940788269,"alphanum_fraction":0.6025173664093018,"avg_line_length":25.716814041137695,"blob_id":"955e03a4e264e2adfdc80bfbd3dccbc44d2c7181","content_id":"9dbc38c06a6bacb2686689510c4a062deb266cf9","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3019,"license_type":"permissive","max_line_length":71,"num_lines":113,"path":"/events/models.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"from django.conf import settings\nfrom django.db import models\nfrom django.utils import timezone\n\nfrom autoslug import AutoSlugField\nfrom imagekit.models import ProcessedImageField\n\n\n# Create your models here.\nclass Event(models.Model):\n '''The place where an organiser can create an event'''\n\n # Event Title\n event_title = models.CharField('Event Title', max_length=256)\n\n # Event slug\n event_slug = AutoSlugField(populate_from='event_title', default='')\n\n # Event creation date\n event_date_created = models.DateTimeField(default=timezone.now,\n auto_now=False,\n auto_now_add=False)\n\n # Event main image path\n def path_and_rename(instance, filename):\n extension = filename.split('.')[-1]\n\n return '{}.{}'.format(timezone.now(), extension)\n\n # Event main image\n event_main_image = ProcessedImageField(upload_to=path_and_rename,\n format='jpeg',\n options={'quality': 80},)\n\n # Event organiser\n event_user = models.ForeignKey(settings.AUTH_USER_MODEL,\n related_name='event_user')\n\n # Return string\n def __str__(self):\n return str(self.event_title)\n\n\nclass EventDateAndTime(models.Model):\n '''The Event organiser can add a date and a time to the event'''\n\n # The event attached to\n event = models.ForeignKey(\n Event,\n related_name='date_event',\n on_delete=models.CASCADE)\n\n # The start date and time of the event\n event_start_date = models.DateTimeField(\n 'Start Date and Time',\n auto_now=False,\n auto_now_add=False)\n\n # The end date and time of the event\n event_end_date = models.DateTimeField(\n 'End Date and Time',\n auto_now=False,\n auto_now_add=False)\n\n\nclass EventDescription(models.Model):\n '''The Event organiser can add a description'''\n\n # The event attached to\n event = models.ForeignKey(\n Event,\n related_name='event_description',\n on_delete=models.CASCADE\n )\n\n # Description field\n event_description = models.TextField()\n\n\nclass EventLocation(models.Model):\n '''The event location'''\n\n # The event attached to\n event = models.ForeignKey(\n Event,\n related_name='event_location',\n on_delete=models.CASCADE\n )\n\n # The event location name\n event_location_name = models.CharField(\n 'Name of the location',\n max_length=80,\n null=True,\n blank=True\n )\n\n # The location's address\n event_location_address = models.CharField(\n 'Address of the location',\n max_length=256,\n null=True,\n blank=True\n )\n\n # The location date and time (optional)\n event_location_datetime = models.DateTimeField(\n 'Date and Time at the location',\n auto_now=False,\n auto_now_add=False,\n blank=True,\n null=True\n )\n"},{"alpha_fraction":0.6978609561920166,"alphanum_fraction":0.6978609561920166,"avg_line_length":31.521739959716797,"blob_id":"7f00a0ebd4565adfb0091af195d07d91235c8e81","content_id":"87c502591b996716ce27b4821dd5de7a402f067d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":748,"license_type":"permissive","max_line_length":67,"num_lines":23,"path":"/events/views.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"from django.conf import settings\nfrom django.views.generic import DetailView, ListView, TemplateView\n\n# Create your views here.\nfrom .models import (\n Event,\n EventDateAndTime,\n EventDescription,\n EventLocation)\n\n\nclass EventTemplateView(TemplateView):\n model = Event\n template_name = 'events/event_detail.html'\n\n def get_context_data(self, **kwargs):\n context = super().get_context_data(**kwargs)\n context['event'] = Event.objects.first()\n context['date_time'] = EventDateAndTime.objects.first()\n context['description'] = EventDescription.objects.first()\n context['gmap_key'] = settings.EASY_MAPS_GOOGLE_MAPS_API_KEY\n context['location'] = EventLocation.objects.all()\n return context\n"},{"alpha_fraction":0.5693717002868652,"alphanum_fraction":0.6125654578208923,"avg_line_length":30.83333396911621,"blob_id":"33991dc95fe829356cd778bb9e26d63e1728866e","content_id":"7f819e08aa209101d6f75c8874b3f2d0d021ac4d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":764,"license_type":"permissive","max_line_length":143,"num_lines":24,"path":"/events/migrations/0005_eventdescription.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.9 on 2018-02-06 11:21\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('events', '0004_auto_20180205_1704'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='EventDescription',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('event_description', models.TextField()),\n ('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='event_description', to='events.Event')),\n ],\n ),\n ]\n"},{"alpha_fraction":0.6916578412055969,"alphanum_fraction":0.6948257684707642,"avg_line_length":19.586956024169922,"blob_id":"40bef491a4704794b0cb59783e448d1b01a43dbb","content_id":"ab8e9c9c2d80477fa8d1bdb740cc94ec4da0d950","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":947,"license_type":"permissive","max_line_length":68,"num_lines":46,"path":"/events/admin.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"from django.contrib import admin\nfrom django_summernote.admin import SummernoteModelAdmin\n\nfrom .models import (\n Event,\n EventDateAndTime,\n EventDescription,\n EventLocation)\n\n\n# Apply summernote to all TextField in model.\nclass SomeModelAdmin(SummernoteModelAdmin): # instead of ModelAdmin\n summer_note_fields = '__all__'\n\n\nclass EventTime(admin.TabularInline):\n model = EventDateAndTime\n extra = 0\n\n\nclass EventDescAdmin(admin.TabularInline):\n model = EventDescription\n extra = 0\n\n\nclass EventLocationAdmin(admin.TabularInline):\n model = EventLocation\n extra = 0\n\n\nclass EventAdmin(admin.ModelAdmin):\n list_display = (\n 'event_title',\n 'event_slug',\n 'event_user',\n 'event_date_created'\n )\n\n inlines = [\n EventTime,\n EventDescAdmin,\n EventLocationAdmin\n ]\n\nadmin.site.register(Event, EventAdmin)\nadmin.site.register(EventDescription, SomeModelAdmin)\n"},{"alpha_fraction":0.6578821539878845,"alphanum_fraction":0.6636320352554321,"avg_line_length":38.377357482910156,"blob_id":"2ffda285c7226ee308840484338e16826cfe711f","content_id":"2c4a30855710d0f3a64eee11000415034c96be46","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2087,"license_type":"permissive","max_line_length":110,"num_lines":53,"path":"/config/urls.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"from django.conf import settings\nfrom django.conf.urls import include, url\nfrom django.conf.urls.static import static\nfrom django.contrib import admin\nfrom django.views.generic import TemplateView\nfrom django.views import defaults as default_views\n\nfrom events.views import EventTemplateView\n\nurlpatterns = [\n # url(r'^$', TemplateView.as_view(template_name='pages/home.html'), name='home'),\n # url(r'^(?P<pk>\\d+)/$', EventDetailView.as_view(), name='home'),\n url(r'^$', EventTemplateView.as_view(), name='home'),\n url(r'^about/$', TemplateView.as_view(template_name='pages/about.html'), name='about'),\n\n # Fobi View URLs\n # url(r'^fobi/', include('fobi.urls.view')),\n\n # Fobi Edit URLs\n # url(r'^fobi/', include('fobi.urls.edit')),\n\n url(r'^summernote/', include('django_summernote.urls')),\n\n # Fobi DB Store plugin URLs\n # url(r'^fobi/plugins/form-handlers/db-store/',\n # include('fobi.contrib.plugins.form_handlers.db_store.urls')),\n\n # Django Admin, use {% url 'admin:index' %}\n url(settings.ADMIN_URL, admin.site.urls),\n\n # User management\n url(r'^users/', include('myhub_events.users.urls', namespace='users')),\n url(r'^accounts/', include('allauth.urls')),\n\n # Your stuff: custom urls includes go here\n\n\n] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)\n\nif settings.DEBUG:\n # This allows the error pages to be debugged during development, just visit\n # these url in browser to see how these error pages look like.\n urlpatterns += [\n url(r'^400/$', default_views.bad_request, kwargs={'exception': Exception('Bad Request!')}),\n url(r'^403/$', default_views.permission_denied, kwargs={'exception': Exception('Permission Denied')}),\n url(r'^404/$', default_views.page_not_found, kwargs={'exception': Exception('Page not Found')}),\n url(r'^500/$', default_views.server_error),\n ]\n if 'debug_toolbar' in settings.INSTALLED_APPS:\n import debug_toolbar\n urlpatterns = [\n url(r'^__debug__/', include(debug_toolbar.urls)),\n ] + urlpatterns\n"},{"alpha_fraction":0.5895807147026062,"alphanum_fraction":0.616264283657074,"avg_line_length":31.79166603088379,"blob_id":"84798991ff331c34cb9247eb8fc913cbdbccc435","content_id":"2146005ba5ed41bdc84a65680387b1fe065fe7b6","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":787,"license_type":"permissive","max_line_length":136,"num_lines":24,"path":"/events/migrations/0003_eventdateandtime.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.9 on 2018-02-04 11:59\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('events', '0002_event_event_slug'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='EventDateAndTime',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('event_dateandtime', models.DateTimeField(verbose_name='Date and Time')),\n ('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='date_event', to='events.Event')),\n ],\n ),\n ]\n"},{"alpha_fraction":0.5236400365829468,"alphanum_fraction":0.5322826504707336,"avg_line_length":29.261537551879883,"blob_id":"d240e2bc6574a8c1b909cd51b0b5d954d7d933f2","content_id":"a87d9667e20621b7964dcaccfcda4e593f7d84ac","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"HTML","length_bytes":1967,"license_type":"permissive","max_line_length":109,"num_lines":65,"path":"/myhub_events/templates/events/event_detail.html","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"{% extends \"base.html\" %}\n\n{% load easy_maps_tags static %}\n\n{% if event %}\n {% block page-header %}\n <div class=\"page-header section-dark\" style=\"background-image: url('{{event.event_main_image.url}}')\">\n <div class=\"filter\"></div>\n <div class=\"content-center\">\n <div class=\"container\">\n <div class=\"title-brand\">\n <h1 class=\"presentation-title\">{{event.event_title}}</h1>\n </div>\n <h2 class=\"presentation-subtitle text-center\">\n From {{date_time.event_start_date | date:\"l, j F Y, H:i\"}}\n </h2>\n <h2 class=\"presentation-subtitle text-center\">\n Until {{date_time.event_end_date | date:\"l, j F Y, H:i\"}}\n </h2>\n </div>\n </div>\n <div class=\"moving-clouds\" style=\"background-image: url('{% static 'images/clouds.png' %}'); \">\n </div>\n </div>\n {% endblock %}\n{% endif %}\n\n{% if description %}\n {% block description %}\n <div class=\"main\" id=\"Description\">\n <div class=\"section\">\n <div class=\"container\">\n <div class=\"row example-page\">\n <div class=\"col-md-12\">\n {{description.event_description|safe}}\n </div>\n </div>\n </div>\n </div>\n </div>\n {% endblock %}\n{% endif %}\n\n{% if location %}\n {% block location %}\n <div class=\"main\" id=\"Location\">\n <div class=\"section section-dark\">\n <div class=\"container\">\n <div class=\"row example-page\">\n {% block api_js %}\n <script type=\"text/javascript\" src=\"https://maps.google.com/maps/api/js?key={{gmap_key}}\"></script>\n {% endblock %}\n {% for l in location %}\n <div class=\"col-md-{% widthratio 12 location.count 1 %} col-sm-12 text-center\">\n <h3>{{l.event_location_name}}</h3>\n <h6>{{l.event_location_address}}</h6>\n {% easy_map l.event_location_address %}\n </div>\n {% endfor %}\n </div>\n </div>\n </div>\n </div>\n {% endblock %}\n{% endif %}\n"},{"alpha_fraction":0.5764706134796143,"alphanum_fraction":0.6176470518112183,"avg_line_length":23.285715103149414,"blob_id":"da2b10bb3fa57ec5d587bd1bb8d43d9c23acd80b","content_id":"b8e5445c382373e9b2c173323086005eca2b722b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":510,"license_type":"permissive","max_line_length":105,"num_lines":21,"path":"/events/migrations/0002_event_event_slug.py","repo_name":"DragosNicuDev/myhub","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.9 on 2018-02-03 21:36\nfrom __future__ import unicode_literals\n\nimport autoslug.fields\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('events', '0001_initial'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='event',\n name='event_slug',\n field=autoslug.fields.AutoSlugField(default='', editable=False, populate_from='event_title'),\n ),\n ]\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6789743304252625,\n \"alphanum_fraction\": 0.6789743304252625,\n \"avg_line_length\": 29.46875,\n \"blob_id\": \"d64361692fe6156ce2c0185d281fb344bf037764\",\n \"content_id\": \"233b106c594ea3e2c8a536ae08e14255fb315142\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 975,\n \"license_type\": \"permissive\",\n \"max_line_length\": 81,\n \"num_lines\": 32,\n \"path\": \"/events/tests.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.test import TestCase\\n\\nfrom django.core.files.uploadedfile import SimpleUploadedFile\\nfrom django.utils import timezone\\n\\nfrom .models import Event\\nfrom myhub_events.users.models import User\\n\\n\\n# Create your tests here.\\nclass EventModelTest(TestCase):\\n\\n def setUp(self):\\n Event.objects.create(\\n event_title='My entry title',\\n event_slug='my-entry-title',\\n event_date_created=timezone.now(),\\n event_user=User.objects.create(username='dragos'))\\n\\n def test_string_representation(self):\\n event = Event.objects.first()\\n self.assertEqual(str(event), event.event_title)\\n\\n def test_event_title(self):\\n event = Event.objects.first()\\n self.assertEqual(str(event), event.event_title)\\n\\n def test_event_slug(self):\\n event = Event.objects.first()\\n slug = Event(event_title=event.event_title, event_slug=event.event_title)\\n\\n self.assertEqual(str(slug), slug.event_slug)\\n\"\n },\n {\n \"alpha_fraction\": 0.6137183904647827,\n \"alphanum_fraction\": 0.6371841430664062,\n \"avg_line_length\": 41.61538314819336,\n \"blob_id\": \"c08fe8550e1d1e262cb3ae37513ebdf40ef337e6\",\n \"content_id\": \"f2604b0e5c5ecbb131a5814cb480910b961c007e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1108,\n \"license_type\": \"permissive\",\n \"max_line_length\": 140,\n \"num_lines\": 26,\n \"path\": \"/events/migrations/0006_eventlocation.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Generated by Django 1.11.9 on 2018-02-06 13:14\\nfrom __future__ import unicode_literals\\n\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('events', '0005_eventdescription'),\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='EventLocation',\\n fields=[\\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\\n ('event_location_name', models.CharField(blank=True, max_length=80, null=True, verbose_name='Name of the location')),\\n ('event_location_address', models.CharField(blank=True, max_length=256, null=True, verbose_name='Address of the location')),\\n ('event_location_datetime', models.DateTimeField(blank=True, null=True, verbose_name='Date and Time at the location')),\\n ('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='event_location', to='events.Event')),\\n ],\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.592024564743042,\n \"alphanum_fraction\": 0.6134969592094421,\n \"avg_line_length\": 29.5625,\n \"blob_id\": \"7b029b559645e57631dac98861e0a0490abdbb31\",\n \"content_id\": \"d8f0463e3dab8b7b7342e89685e7d825ace712bb\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 978,\n \"license_type\": \"permissive\",\n \"max_line_length\": 110,\n \"num_lines\": 32,\n \"path\": \"/events/migrations/0004_auto_20180205_1704.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Generated by Django 1.11.9 on 2018-02-05 17:04\\nfrom __future__ import unicode_literals\\n\\nfrom django.db import migrations, models\\nimport django.utils.timezone\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('events', '0003_eventdateandtime'),\\n ]\\n\\n operations = [\\n migrations.RemoveField(\\n model_name='eventdateandtime',\\n name='event_dateandtime',\\n ),\\n migrations.AddField(\\n model_name='eventdateandtime',\\n name='event_end_date',\\n field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='End Date and Time'),\\n preserve_default=False,\\n ),\\n migrations.AddField(\\n model_name='eventdateandtime',\\n name='event_start_date',\\n field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='Start Date and Time'),\\n preserve_default=False,\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5988737940788269,\n \"alphanum_fraction\": 0.6025173664093018,\n \"avg_line_length\": 25.716814041137695,\n \"blob_id\": \"955e03a4e264e2adfdc80bfbd3dccbc44d2c7181\",\n \"content_id\": \"9dbc38c06a6bacb2686689510c4a062deb266cf9\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3019,\n \"license_type\": \"permissive\",\n \"max_line_length\": 71,\n \"num_lines\": 113,\n \"path\": \"/events/models.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.conf import settings\\nfrom django.db import models\\nfrom django.utils import timezone\\n\\nfrom autoslug import AutoSlugField\\nfrom imagekit.models import ProcessedImageField\\n\\n\\n# Create your models here.\\nclass Event(models.Model):\\n '''The place where an organiser can create an event'''\\n\\n # Event Title\\n event_title = models.CharField('Event Title', max_length=256)\\n\\n # Event slug\\n event_slug = AutoSlugField(populate_from='event_title', default='')\\n\\n # Event creation date\\n event_date_created = models.DateTimeField(default=timezone.now,\\n auto_now=False,\\n auto_now_add=False)\\n\\n # Event main image path\\n def path_and_rename(instance, filename):\\n extension = filename.split('.')[-1]\\n\\n return '{}.{}'.format(timezone.now(), extension)\\n\\n # Event main image\\n event_main_image = ProcessedImageField(upload_to=path_and_rename,\\n format='jpeg',\\n options={'quality': 80},)\\n\\n # Event organiser\\n event_user = models.ForeignKey(settings.AUTH_USER_MODEL,\\n related_name='event_user')\\n\\n # Return string\\n def __str__(self):\\n return str(self.event_title)\\n\\n\\nclass EventDateAndTime(models.Model):\\n '''The Event organiser can add a date and a time to the event'''\\n\\n # The event attached to\\n event = models.ForeignKey(\\n Event,\\n related_name='date_event',\\n on_delete=models.CASCADE)\\n\\n # The start date and time of the event\\n event_start_date = models.DateTimeField(\\n 'Start Date and Time',\\n auto_now=False,\\n auto_now_add=False)\\n\\n # The end date and time of the event\\n event_end_date = models.DateTimeField(\\n 'End Date and Time',\\n auto_now=False,\\n auto_now_add=False)\\n\\n\\nclass EventDescription(models.Model):\\n '''The Event organiser can add a description'''\\n\\n # The event attached to\\n event = models.ForeignKey(\\n Event,\\n related_name='event_description',\\n on_delete=models.CASCADE\\n )\\n\\n # Description field\\n event_description = models.TextField()\\n\\n\\nclass EventLocation(models.Model):\\n '''The event location'''\\n\\n # The event attached to\\n event = models.ForeignKey(\\n Event,\\n related_name='event_location',\\n on_delete=models.CASCADE\\n )\\n\\n # The event location name\\n event_location_name = models.CharField(\\n 'Name of the location',\\n max_length=80,\\n null=True,\\n blank=True\\n )\\n\\n # The location's address\\n event_location_address = models.CharField(\\n 'Address of the location',\\n max_length=256,\\n null=True,\\n blank=True\\n )\\n\\n # The location date and time (optional)\\n event_location_datetime = models.DateTimeField(\\n 'Date and Time at the location',\\n auto_now=False,\\n auto_now_add=False,\\n blank=True,\\n null=True\\n )\\n\"\n },\n {\n \"alpha_fraction\": 0.6978609561920166,\n \"alphanum_fraction\": 0.6978609561920166,\n \"avg_line_length\": 31.521739959716797,\n \"blob_id\": \"7f00a0ebd4565adfb0091af195d07d91235c8e81\",\n \"content_id\": \"87c502591b996716ce27b4821dd5de7a402f067d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 748,\n \"license_type\": \"permissive\",\n \"max_line_length\": 67,\n \"num_lines\": 23,\n \"path\": \"/events/views.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.conf import settings\\nfrom django.views.generic import DetailView, ListView, TemplateView\\n\\n# Create your views here.\\nfrom .models import (\\n Event,\\n EventDateAndTime,\\n EventDescription,\\n EventLocation)\\n\\n\\nclass EventTemplateView(TemplateView):\\n model = Event\\n template_name = 'events/event_detail.html'\\n\\n def get_context_data(self, **kwargs):\\n context = super().get_context_data(**kwargs)\\n context['event'] = Event.objects.first()\\n context['date_time'] = EventDateAndTime.objects.first()\\n context['description'] = EventDescription.objects.first()\\n context['gmap_key'] = settings.EASY_MAPS_GOOGLE_MAPS_API_KEY\\n context['location'] = EventLocation.objects.all()\\n return context\\n\"\n },\n {\n \"alpha_fraction\": 0.5693717002868652,\n \"alphanum_fraction\": 0.6125654578208923,\n \"avg_line_length\": 30.83333396911621,\n \"blob_id\": \"33991dc95fe829356cd778bb9e26d63e1728866e\",\n \"content_id\": \"7f819e08aa209101d6f75c8874b3f2d0d021ac4d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 764,\n \"license_type\": \"permissive\",\n \"max_line_length\": 143,\n \"num_lines\": 24,\n \"path\": \"/events/migrations/0005_eventdescription.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Generated by Django 1.11.9 on 2018-02-06 11:21\\nfrom __future__ import unicode_literals\\n\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('events', '0004_auto_20180205_1704'),\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='EventDescription',\\n fields=[\\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\\n ('event_description', models.TextField()),\\n ('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='event_description', to='events.Event')),\\n ],\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.6916578412055969,\n \"alphanum_fraction\": 0.6948257684707642,\n \"avg_line_length\": 19.586956024169922,\n \"blob_id\": \"40bef491a4704794b0cb59783e448d1b01a43dbb\",\n \"content_id\": \"ab8e9c9c2d80477fa8d1bdb740cc94ec4da0d950\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 947,\n \"license_type\": \"permissive\",\n \"max_line_length\": 68,\n \"num_lines\": 46,\n \"path\": \"/events/admin.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.contrib import admin\\nfrom django_summernote.admin import SummernoteModelAdmin\\n\\nfrom .models import (\\n Event,\\n EventDateAndTime,\\n EventDescription,\\n EventLocation)\\n\\n\\n# Apply summernote to all TextField in model.\\nclass SomeModelAdmin(SummernoteModelAdmin): # instead of ModelAdmin\\n summer_note_fields = '__all__'\\n\\n\\nclass EventTime(admin.TabularInline):\\n model = EventDateAndTime\\n extra = 0\\n\\n\\nclass EventDescAdmin(admin.TabularInline):\\n model = EventDescription\\n extra = 0\\n\\n\\nclass EventLocationAdmin(admin.TabularInline):\\n model = EventLocation\\n extra = 0\\n\\n\\nclass EventAdmin(admin.ModelAdmin):\\n list_display = (\\n 'event_title',\\n 'event_slug',\\n 'event_user',\\n 'event_date_created'\\n )\\n\\n inlines = [\\n EventTime,\\n EventDescAdmin,\\n EventLocationAdmin\\n ]\\n\\nadmin.site.register(Event, EventAdmin)\\nadmin.site.register(EventDescription, SomeModelAdmin)\\n\"\n },\n {\n \"alpha_fraction\": 0.6578821539878845,\n \"alphanum_fraction\": 0.6636320352554321,\n \"avg_line_length\": 38.377357482910156,\n \"blob_id\": \"2ffda285c7226ee308840484338e16826cfe711f\",\n \"content_id\": \"2c4a30855710d0f3a64eee11000415034c96be46\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2087,\n \"license_type\": \"permissive\",\n \"max_line_length\": 110,\n \"num_lines\": 53,\n \"path\": \"/config/urls.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.conf import settings\\nfrom django.conf.urls import include, url\\nfrom django.conf.urls.static import static\\nfrom django.contrib import admin\\nfrom django.views.generic import TemplateView\\nfrom django.views import defaults as default_views\\n\\nfrom events.views import EventTemplateView\\n\\nurlpatterns = [\\n # url(r'^$', TemplateView.as_view(template_name='pages/home.html'), name='home'),\\n # url(r'^(?P<pk>\\\\d+)/$', EventDetailView.as_view(), name='home'),\\n url(r'^$', EventTemplateView.as_view(), name='home'),\\n url(r'^about/$', TemplateView.as_view(template_name='pages/about.html'), name='about'),\\n\\n # Fobi View URLs\\n # url(r'^fobi/', include('fobi.urls.view')),\\n\\n # Fobi Edit URLs\\n # url(r'^fobi/', include('fobi.urls.edit')),\\n\\n url(r'^summernote/', include('django_summernote.urls')),\\n\\n # Fobi DB Store plugin URLs\\n # url(r'^fobi/plugins/form-handlers/db-store/',\\n # include('fobi.contrib.plugins.form_handlers.db_store.urls')),\\n\\n # Django Admin, use {% url 'admin:index' %}\\n url(settings.ADMIN_URL, admin.site.urls),\\n\\n # User management\\n url(r'^users/', include('myhub_events.users.urls', namespace='users')),\\n url(r'^accounts/', include('allauth.urls')),\\n\\n # Your stuff: custom urls includes go here\\n\\n\\n] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)\\n\\nif settings.DEBUG:\\n # This allows the error pages to be debugged during development, just visit\\n # these url in browser to see how these error pages look like.\\n urlpatterns += [\\n url(r'^400/$', default_views.bad_request, kwargs={'exception': Exception('Bad Request!')}),\\n url(r'^403/$', default_views.permission_denied, kwargs={'exception': Exception('Permission Denied')}),\\n url(r'^404/$', default_views.page_not_found, kwargs={'exception': Exception('Page not Found')}),\\n url(r'^500/$', default_views.server_error),\\n ]\\n if 'debug_toolbar' in settings.INSTALLED_APPS:\\n import debug_toolbar\\n urlpatterns = [\\n url(r'^__debug__/', include(debug_toolbar.urls)),\\n ] + urlpatterns\\n\"\n },\n {\n \"alpha_fraction\": 0.5895807147026062,\n \"alphanum_fraction\": 0.616264283657074,\n \"avg_line_length\": 31.79166603088379,\n \"blob_id\": \"84798991ff331c34cb9247eb8fc913cbdbccc435\",\n \"content_id\": \"2146005ba5ed41bdc84a65680387b1fe065fe7b6\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 787,\n \"license_type\": \"permissive\",\n \"max_line_length\": 136,\n \"num_lines\": 24,\n \"path\": \"/events/migrations/0003_eventdateandtime.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Generated by Django 1.11.9 on 2018-02-04 11:59\\nfrom __future__ import unicode_literals\\n\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('events', '0002_event_event_slug'),\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='EventDateAndTime',\\n fields=[\\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\\n ('event_dateandtime', models.DateTimeField(verbose_name='Date and Time')),\\n ('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='date_event', to='events.Event')),\\n ],\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5236400365829468,\n \"alphanum_fraction\": 0.5322826504707336,\n \"avg_line_length\": 29.261537551879883,\n \"blob_id\": \"d240e2bc6574a8c1b909cd51b0b5d954d7d933f2\",\n \"content_id\": \"a87d9667e20621b7964dcaccfcda4e593f7d84ac\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"HTML\",\n \"length_bytes\": 1967,\n \"license_type\": \"permissive\",\n \"max_line_length\": 109,\n \"num_lines\": 65,\n \"path\": \"/myhub_events/templates/events/event_detail.html\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"{% extends \\\"base.html\\\" %}\\n\\n{% load easy_maps_tags static %}\\n\\n{% if event %}\\n {% block page-header %}\\n <div class=\\\"page-header section-dark\\\" style=\\\"background-image: url('{{event.event_main_image.url}}')\\\">\\n <div class=\\\"filter\\\"></div>\\n <div class=\\\"content-center\\\">\\n <div class=\\\"container\\\">\\n <div class=\\\"title-brand\\\">\\n <h1 class=\\\"presentation-title\\\">{{event.event_title}}</h1>\\n </div>\\n <h2 class=\\\"presentation-subtitle text-center\\\">\\n From {{date_time.event_start_date | date:\\\"l, j F Y, H:i\\\"}}\\n </h2>\\n <h2 class=\\\"presentation-subtitle text-center\\\">\\n Until {{date_time.event_end_date | date:\\\"l, j F Y, H:i\\\"}}\\n </h2>\\n </div>\\n </div>\\n <div class=\\\"moving-clouds\\\" style=\\\"background-image: url('{% static 'images/clouds.png' %}'); \\\">\\n </div>\\n </div>\\n {% endblock %}\\n{% endif %}\\n\\n{% if description %}\\n {% block description %}\\n <div class=\\\"main\\\" id=\\\"Description\\\">\\n <div class=\\\"section\\\">\\n <div class=\\\"container\\\">\\n <div class=\\\"row example-page\\\">\\n <div class=\\\"col-md-12\\\">\\n {{description.event_description|safe}}\\n </div>\\n </div>\\n </div>\\n </div>\\n </div>\\n {% endblock %}\\n{% endif %}\\n\\n{% if location %}\\n {% block location %}\\n <div class=\\\"main\\\" id=\\\"Location\\\">\\n <div class=\\\"section section-dark\\\">\\n <div class=\\\"container\\\">\\n <div class=\\\"row example-page\\\">\\n {% block api_js %}\\n <script type=\\\"text/javascript\\\" src=\\\"https://maps.google.com/maps/api/js?key={{gmap_key}}\\\"></script>\\n {% endblock %}\\n {% for l in location %}\\n <div class=\\\"col-md-{% widthratio 12 location.count 1 %} col-sm-12 text-center\\\">\\n <h3>{{l.event_location_name}}</h3>\\n <h6>{{l.event_location_address}}</h6>\\n {% easy_map l.event_location_address %}\\n </div>\\n {% endfor %}\\n </div>\\n </div>\\n </div>\\n </div>\\n {% endblock %}\\n{% endif %}\\n\"\n },\n {\n \"alpha_fraction\": 0.5764706134796143,\n \"alphanum_fraction\": 0.6176470518112183,\n \"avg_line_length\": 23.285715103149414,\n \"blob_id\": \"da2b10bb3fa57ec5d587bd1bb8d43d9c23acd80b\",\n \"content_id\": \"b8e5445c382373e9b2c173323086005eca2b722b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 510,\n \"license_type\": \"permissive\",\n \"max_line_length\": 105,\n \"num_lines\": 21,\n \"path\": \"/events/migrations/0002_event_event_slug.py\",\n \"repo_name\": \"DragosNicuDev/myhub\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Generated by Django 1.11.9 on 2018-02-03 21:36\\nfrom __future__ import unicode_literals\\n\\nimport autoslug.fields\\nfrom django.db import migrations\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('events', '0001_initial'),\\n ]\\n\\n operations = [\\n migrations.AddField(\\n model_name='event',\\n name='event_slug',\\n field=autoslug.fields.AutoSlugField(default='', editable=False, populate_from='event_title'),\\n ),\\n ]\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":11,"string":"11"}}},{"rowIdx":2984175,"cells":{"repo_name":{"kind":"string","value":"restran/mountains"},"repo_url":{"kind":"string","value":"https://github.com/restran/mountains"},"snapshot_id":{"kind":"string","value":"1b3844ad27d569c0ed21d382d8f85d4424c0e098"},"revision_id":{"kind":"string","value":"e95a2640074b82df6d5e8f3cf45e877dfcb0a648"},"directory_id":{"kind":"string","value":"e1cd3482db05af69c8aceaa2fec0bde6e043e5cf"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-06-14T17:00:17.053156","string":"2022-06-14T17:00:17.053156"},"revision_date":{"kind":"timestamp","value":"2022-05-16T15:23:14","string":"2022-05-16T15:23:14"},"committer_date":{"kind":"timestamp","value":"2022-05-16T15:23:14","string":"2022-05-16T15:23:14"},"github_id":{"kind":"number","value":101150874,"string":"101,150,874"},"star_events_count":{"kind":"number","value":5,"string":"5"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.42583248019218445,"alphanum_fraction":0.528422474861145,"avg_line_length":25.54464340209961,"blob_id":"495aed644ec16c1aaabc20912788698ae0fdfbb3","content_id":"9b8efdc08a7fad4003d32ccbada0b7ac6a7e6058","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2973,"license_type":"permissive","max_line_length":79,"num_lines":112,"path":"/tests/test_encoding.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/3/7\nfrom __future__ import unicode_literals, absolute_import\n\nimport unittest\n\nfrom mountains.encoding import converter, is_base64, is_base32\n\n\nclass Test(unittest.TestCase):\n def setUp(self):\n pass\n\n def test_hex2dec(self):\n s = '1F'\n r = converter.hex2dec(s)\n self.assertEqual(r, 31)\n s = '1F1F'\n r = converter.hex2dec(s)\n self.assertEqual(r, 7967)\n\n def test_dec2hex(self):\n s = '31'\n r = converter.dec2hex(s)\n self.assertEqual(r.upper(), '1F')\n s = '7967'\n r = converter.dec2hex(s)\n self.assertEqual(r.upper(), '1F1F')\n\n def test_bin2dec(self):\n s = '11111'\n r = converter.bin2dec(s)\n self.assertEqual(r, 31)\n\n def test_dec2bin(self):\n s = '31'\n r = converter.dec2bin(s)\n self.assertEqual(r, '11111')\n\n def test_str2dec(self):\n s = 'abcdef'\n r = converter.str2dec(s)\n self.assertEqual(r, 107075202213222)\n\n def test_dec2str(self):\n s = '107075202213222'\n r = converter.dec2str(s)\n self.assertEqual(r, 'abcdef')\n\n def test_str2hex(self):\n s = 'abcdef'\n r = converter.str2hex(s)\n self.assertEqual(r, '616263646566')\n\n def test_hex2str(self):\n s = '616263646566'\n r = converter.hex2str(s)\n self.assertEqual(r, 'abcdef')\n\n def test_hex2bin(self):\n s = '616263646566'\n r = converter.hex2bin(s)\n self.assertEqual(r, '011000010110001001100011011001000110010101100110')\n s = '00'\n r = converter.hex2bin(s)\n self.assertEqual(r, '00000000')\n\n def test_bin2hex(self):\n s = '011000010110001001100011011001000110010101100110'\n r = converter.bin2hex(s)\n self.assertEqual(r, '616263646566')\n\n def test_to_digital(self):\n for i in range(10, 1000):\n for j in range(2, 10):\n r = converter.to_digital(i, j)\n x = converter.from_digital(r, j)\n self.assertEqual(str(i), x)\n\n def test_is_base64(self):\n data = [\n (\"Y2QgL2QgIkM6L2luZXRwdWIvd3d3cm9vdCImd2hvYW1pJmVjaG8gW1NdJmNkJmVjaG8gW0Vd\", True),\n (\"Qzov\", True),\n (\"123\", False),\n (\"Y21k\", True),\n (\"0000\", False),\n (\"QzovaW5ldHB1Yi93d3dyb290Lw==\", True),\n (\"QzovaW5ldHB1Yi8=\", True),\n (\"aHR0cDovLzExOC4zMS42Ni4yMy8yMDIwc2tpbGwvYS5leGU=\", True)\n ]\n\n for (s, real_r) in data:\n r = is_base64(s)\n self.assertEqual(r, real_r)\n\n def test_is_base32(self):\n data = [\n (\"GFQWCYLB\", True),\n (\"1\", False),\n (\"123\", False),\n (\"GE======\", True),\n (\"0000\", False),\n (\"GFQXGZDGMFZWIZTBONSGMYLTMRTGC43EMY======\", True)\n ]\n\n for (s, real_r) in data:\n r = is_base32(s)\n self.assertEqual(r, real_r)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.7073884606361389,"alphanum_fraction":0.7329919338226318,"avg_line_length":26.059406280517578,"blob_id":"368e011d14530678c783bbf9ab8f41ca46069192","content_id":"fd1c81d939a52e693c90fa276b651d1d322f0e02","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":3326,"license_type":"permissive","max_line_length":377,"num_lines":101,"path":"/README.md","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# mountains\n\n[](https://travis-ci.org/restran/mountains) [](https://coveralls.io/github/restran/mountains?branch=master) [](https://pypi.python.org/pypi/mountains/)\n\n在开发Python的过程中经常会有一些常用的方法和工具类，因此将这些代码集成在一起，在开发新东西的时候就能直接调用，加速开发。\n\n<img src=\"docs/icon.png\" style=\"margin-left: auto; margin-right: auto; text-align: center; display: block;\">\n\n## 安装\n\n pip install mountains\n\n## 功能\n\n1. Python 2-3 兼容，大部分代码都尽可能做了兼容\n2. 日期转换，各种日期、字符串、时间戳直接的转换\n3. SSHClient\n4. Tornado 的异步请求\n5. Random HTTP User Agent\n6. 文件、Excel、json 读写 \n7. ...\n\n\n### 日期转换\n\ndatetime、time、时间戳、日期字符串之间的转换\n\n```python\n\nimport time\nfrom datetime import datetime\nfrom mountains.datetime import converter\n\ndate_str = '2016-10-30 12:30:30'\ndt = datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)\nt = dt.timetuple()\nts = int(time.mktime(t))\nts_ms = int(time.mktime(t) * 1000)\n\n# 字符串转 datetime\ndt = converter.str2datetime(date_str)\n# 字符串转 time\nconverter.str2time(date_str)\n# 日期字符串转时间戳，结果为秒\nconverter.str2timestamp(date_str)\n# 日期字符串转时间戳，结果为毫秒\nconverter.str2timestamp(date_str, millisecond=True)\n# datetime 转字符串，默认格式 %Y-%m-%d %H:%M:%S\nconverter.datetime2str(dt)\n# datetime 转字符串，指定格式\nconverter.datetime2str(dt, '%Y-%m-%d')\n```\n\n### 日志功能 \n\n对原生的 logging 进行了封装，使用起来更简单\n\n```python\nfrom mountains import logging\nfrom mountains.logging import StreamHandler, FileHandler, RotatingFileHandler, TimedRotatingFileHandler\n\n# 配置日志，输出到控制台、保存到文件、日志级别、输出格式等，文件默认保存到 log.txt\nlogging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), FileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\n# RotatingFileHandler 按文件大小分割日志文件\nlogging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), RotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\n# TimedRotatingFileHandler 按时间分割日志文件\nlogging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), TimedRotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\n\n# 使用方法与原生的 logging 一样\nlogger = logging.getLogger(__name__)\nlogger.debug('hello')\n```\n\n### Excel 读写\n\n```python\nfrom mountains.file.excel import read_excel, write_excel, edit_excel\n# 读 Excel 文件\ndata = read_excel('filename.xlsx')\n\n# 写新的 Excel\nexcel_data = [\n {\n 'col1': '123',\n 'col2': '456'\n },\n {\n 'col1': '123',\n 'col2': '456'\n },\n]\n\nheaders = ['col1', 'col2']\nwrite_excel(headers, excel_data, 'filename.xlsx')\n\n# 编辑 Excel，打开已有的 Excel，往里面填充数据\nedit_data = {\n 'I2': '123'\n}\nedit_excel('test.xlsx', sheet_index=0, data=edit_data, output_filename='new_test.xlsx')\n```\n\n"},{"alpha_fraction":0.5274426937103271,"alphanum_fraction":0.5329714417457581,"avg_line_length":32.7220344543457,"blob_id":"10516178119512f91c0669c1ac0628dfcff0d718","content_id":"4e2663f229946dfd5acef86a42b4df9eb4e60436","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":10150,"license_type":"permissive","max_line_length":97,"num_lines":295,"path":"/mountains/tornado/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/12/11\nfrom __future__ import unicode_literals, absolute_import\n\nimport logging\nimport platform\nimport time\nfrom collections import deque\n\nfrom ..base import urlunparse, urlparse, urlencode\nfrom .. import json as json_util\nfrom .. import force_text\nfrom ..http import random_agent\n\ntry:\n from tornado.gen import coroutine, is_future, Return\n from tornado.httpclient import AsyncHTTPClient, HTTPRequest, HTTPError\nexcept ImportError:\n raise Exception('tornado is not installed')\n\nlogger = logging.getLogger(__name__)\n\nDEFAULT_CONNECT_TIMEOUT = 20\nDEFAULT_REQUEST_TIMEOUT = 20\nASYNC_HTTP_MAX_CLIENTS = 100\n\n# pycurl 在 Windows Python 64 位环境下会崩溃\n# https://github.com/pycurl/pycurl/issues/395\n# libcurl 7.48.0 以后的版本修复了这个bug\nif platform.architecture()[0] == '64bit' and platform.system() == 'Windows':\n AsyncHTTPClient.configure(\n 'tornado.simple_httpclient.SimpleAsyncHTTPClient')\nelse:\n try:\n # curl_httpclient is faster than simple_httpclient\n AsyncHTTPClient.configure(\n 'tornado.curl_httpclient.CurlAsyncHTTPClient',\n max_clients=ASYNC_HTTP_MAX_CLIENTS)\n except ImportError:\n AsyncHTTPClient.configure(\n 'tornado.simple_httpclient.SimpleAsyncHTTPClient')\n\n\nclass AsyncHTTPExecutor(object):\n \"\"\"\n 异步HTTP请求，可以并发访问\n \"\"\"\n\n def __init__(self, task_queue, on_request,\n on_success, on_error, on_queue_empty=None,\n proxy_list=None,\n max_workers=20, timeout=5, verbose=False):\n self.fn_on_queue_empty = on_queue_empty\n self.fn_on_request = on_request\n self.fn_on_success = on_success\n self.fn_on_error = on_error\n self.task_queue = deque()\n self.task_queue.extend(task_queue)\n self.timeout = timeout\n self.max_workers = max_workers\n self.count = 0\n self.verbose = verbose\n self.start_time = None\n self.last_time = None\n self.proxy_list = proxy_list\n self.proxy_index = 0\n\n def get_proxy(self):\n \"\"\"\n 获取下一个可用的代理\n :return: proxy_host, proxy_port, proxy_username, proxy_password\n \"\"\"\n if self.proxy_list is None or len(self.proxy_list) <= 0:\n return None, None, None, None\n self.proxy_index += 1\n self.proxy_index = self.proxy_index % len(self.proxy_list)\n item = self.proxy_list[self.proxy_index]\n if len(item) == 2:\n return item[0], item[1], None, None\n else:\n return item[0], item[1], item[2], item[3]\n\n def get_next_task(self):\n try:\n item = self.task_queue.popleft()\n except IndexError:\n if self.fn_on_queue_empty is None:\n return None\n else:\n item = self.fn_on_queue_empty(self.task_queue)\n if isinstance(item, list) and len(item) > 0:\n self.task_queue.extend(item)\n item = self.task_queue.popleft()\n return item\n\n @coroutine\n def do_request(self, item):\n self.count += 1\n current_time = time.time()\n # 每隔10秒输出一次\n if current_time - self.last_time > 10:\n self.last_time = current_time\n speed = self.count / (current_time - self.start_time)\n past_time = current_time - self.start_time\n logger.info('items, speed, time: %s, %.1f/s, %.1fs' % (self.count, speed, past_time))\n\n base_headers = {\n 'User-Agent': random_agent()\n }\n\n url, method, headers, body, extra_params = self.fn_on_request(item)\n if url is None:\n return\n\n if headers is None:\n headers = {}\n\n base_headers.update(headers)\n headers = base_headers\n\n url = force_text(url)\n body = '' if method == 'POST' else None\n proxy_host, proxy_port, proxy_username, proxy_password = self.get_proxy()\n if proxy_port is not None:\n proxy_port = int(proxy_port)\n\n params_dict = {\n 'decompress_response': True,\n 'validate_cert': False,\n 'proxy_host': proxy_host,\n 'proxy_port': proxy_port,\n 'proxy_username': proxy_username,\n 'proxy_password': proxy_password,\n 'connect_timeout': self.timeout,\n 'request_timeout': self.timeout,\n 'follow_redirects': False\n }\n # 允许再传其他参数\n if isinstance(extra_params, dict):\n params_dict.update(extra_params)\n\n try:\n response = yield AsyncHTTPClient().fetch(\n HTTPRequest(url=url,\n method=method,\n headers=headers,\n body=body,\n **params_dict))\n try:\n self.fn_on_success(url, item, method, response, self.task_queue)\n except Exception as e:\n logger.error(e)\n except HTTPError as e:\n if hasattr(e, 'response') and e.response:\n try:\n self.fn_on_success(url, item, method, e.response, self.task_queue)\n except Exception as ex:\n logger.error(ex)\n else:\n if self.verbose:\n logger.error(e)\n logger.error('%s, %s' % (method, item))\n try:\n self.fn_on_error(url, item, method, e, self.task_queue)\n except Exception as e:\n logger.error(e)\n except Exception as e:\n if self.verbose:\n logger.error(e)\n logger.error('%s, %s' % (method, item))\n\n try:\n self.fn_on_error(url, item, method, e, self.task_queue)\n except Exception as e:\n logger.error(e)\n\n @coroutine\n def fetch_url(self, i):\n item = self.get_next_task()\n while item is not None:\n yield self.do_request(item)\n item = self.get_next_task()\n\n @coroutine\n def run(self, *args, **kwargs):\n logger.info('executor start')\n self.start_time = time.time()\n self.last_time = self.start_time\n # Start workers, then wait for the work queue to be empty.\n # 会卡在这里，等待所有的 worker 都结束\n yield [self.fetch_url(t) for t in range(self.max_workers)]\n end_time = time.time()\n logger.info('total count: %s' % self.count)\n cost_time = end_time - self.start_time\n if cost_time > 0:\n speed = self.count / cost_time\n else:\n speed = 1\n\n logger.info('executor done, %.3f, %.1f/s' % (cost_time, speed))\n\n\n@coroutine\ndef async_request(method='GET', url=None, params=None,\n headers=None, data=None, json=None,\n on_response=None, on_error=None,\n connect_timeout=DEFAULT_CONNECT_TIMEOUT,\n request_timeout=DEFAULT_REQUEST_TIMEOUT,\n follow_redirects=False,\n proxy_host=None, proxy_port=None,\n proxy_username=None, proxy_password=None):\n try:\n if url is None:\n return\n\n method = method.upper()\n\n base_headers = {\n 'User-Agent': random_agent(),\n }\n\n if params is not None:\n url_parsed = urlparse(url)\n query = urlencode(params, doseq=True)\n if url_parsed.query != '':\n query = '%s&%s' % (query, url_parsed.query)\n\n url = urlunparse((url_parsed.scheme, url_parsed.netloc,\n url_parsed.path, url_parsed.params,\n query, url_parsed.fragment))\n\n if method == 'GET':\n body = None\n else:\n if json is not None:\n body = json_util.dumps(json)\n base_headers['Content-Type'] = 'application/json;charset=utf-8'\n elif isinstance(data, dict):\n body = urlencode(data, doseq=True)\n base_headers['Content-Type'] = 'application/x-www-form-urlencoded'\n elif isinstance(data, list):\n body = force_text(data)\n else:\n body = data\n\n if isinstance(headers, dict):\n base_headers.update(headers)\n\n headers = base_headers\n response = yield AsyncHTTPClient().fetch(\n HTTPRequest(url=url,\n headers=headers,\n method=method,\n body=body,\n validate_cert=False,\n decompress_response=True,\n connect_timeout=connect_timeout,\n request_timeout=request_timeout,\n follow_redirects=follow_redirects,\n proxy_host=proxy_host,\n proxy_port=proxy_port,\n proxy_username=proxy_username,\n proxy_password=proxy_password))\n\n if on_response is not None:\n ret = on_response(response)\n if is_future(ret):\n yield ret\n\n raise Return(response)\n except Return as e:\n # 上面有抛出 Return 的异常，这里捕获到以后，要重新抛出\n # 否则返回的实际上就不是 response\n raise e\n except HTTPError as e:\n if hasattr(e, 'response') and e.response:\n if on_response is not None:\n ret = on_response(e.response)\n if is_future(ret):\n yield ret\n\n raise Return(e.response)\n else:\n if on_error is not None:\n ret = on_error(e)\n if is_future(ret):\n yield ret\n raise Return(None)\n except Exception as e:\n if on_error is not None:\n ret = on_error(e)\n if is_future(ret):\n yield ret\n\n raise Return(None)\n"},{"alpha_fraction":0.561170220375061,"alphanum_fraction":0.5828900933265686,"avg_line_length":19.697248458862305,"blob_id":"c31fffff0fafece1fe83e8819e16ca8fbbf280ea","content_id":"dc0533f6a160197c0f984669d572cf8f2666e899","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2256,"license_type":"permissive","max_line_length":75,"num_lines":109,"path":"/mountains/datetime/converter.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2016/11/1\nfrom __future__ import unicode_literals, absolute_import\n\nimport time\nfrom datetime import datetime\n\n\"\"\"\ndate string, datetime, time and timestamp converter\n\"\"\"\n\n\ndef str2datetime(date_str, format='%Y-%m-%d %H:%M:%S'):\n try:\n return datetime.strptime(date_str, format)\n except:\n return None\n\n\ndef str2time(date_str, format='%Y-%m-%d %H:%M:%S'):\n try:\n return time.strptime(date_str, format)\n except:\n return None\n\n\ndef str2timestamp(date_str, format='%Y-%m-%d %H:%M:%S', millisecond=False):\n try:\n ts = time.mktime(time.strptime(date_str, format))\n if millisecond:\n ts = ts * 1000\n return int(ts)\n except:\n return None\n\n\ndef datetime2str(dt, format='%Y-%m-%d %H:%M:%S'):\n try:\n return dt.strftime(format)\n except:\n return None\n\n\ndef datetime2time(dt):\n try:\n return dt.timetuple()\n except:\n return None\n\n\ndef datetime2timestamp(dt, millisecond=False):\n try:\n ts = time.mktime(dt.timetuple())\n if millisecond:\n ts = ts * 1000\n return int(ts)\n except:\n return None\n\n\ndef time2str(time_tuple, format='%Y-%m-%d %H:%M:%S'):\n try:\n return time.strftime(format, time_tuple)\n except:\n return None\n\n\ndef time2datetime(time_tuple):\n try:\n return datetime(*time_tuple[0:6])\n except:\n return None\n\n\ndef time2timestamp(time_tuple, millisecond=False):\n try:\n ts = time.mktime(time_tuple)\n if millisecond:\n ts = ts * 1000\n return int(ts)\n except:\n return None\n\n\ndef timestamp2datetime(ts, millisecond=False):\n try:\n if millisecond:\n ts = int(ts / 1000.0)\n return datetime.fromtimestamp(ts)\n except:\n return None\n\n\ndef timestamp2time(ts, millisecond=False):\n try:\n if millisecond:\n ts = int(ts / 1000.0)\n return time.localtime(ts)\n except:\n return None\n\n\ndef timestamp2str(ts, format='%Y-%m-%d %H:%M:%S', millisecond=False):\n try:\n if millisecond:\n ts = int(ts / 1000.0)\n return datetime.fromtimestamp(ts).strftime(format)\n except:\n return None\n"},{"alpha_fraction":0.5537488460540771,"alphanum_fraction":0.5709123611450195,"avg_line_length":19.88679313659668,"blob_id":"c62b1f752eb25a40847411f36e35210357fcff58","content_id":"931d2ce00a32c6bb6f2f2ff3e2820c551cf869e3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1141,"license_type":"permissive","max_line_length":66,"num_lines":53,"path":"/mountains/database/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2019/07/12\nfrom __future__ import unicode_literals, absolute_import\nimport math\n\ntry:\n import records\nexcept Exception as e:\n raise Exception('records is not installed')\n\n\ndef batch_insert(db, sql, data, batch_size):\n \"\"\"\n :type db: records.Database\n :param db:\n :param sql:\n :param data:\n :param batch_size:\n :return:\n \"\"\"\n\n total = len(data)\n if total <= 0:\n return\n\n times = math.ceil(total * 1.0 / batch_size)\n for i in range(times):\n data_list = data[i * batch_size:(i + 1) * batch_size]\n if len(data_list) > 0:\n db.bulk_query(sql, data_list)\n\n\ndef auto_batch_insert(db, sql, data, batch_size=500, force=False):\n \"\"\"\n 可以边添加数据，边自动批量插入数据\n :type db: records.Database\n :param db:\n :param sql:\n :param data:\n :param batch_size:\n :param force:\n :return:\n \"\"\"\n total = len(data)\n if total <= 0:\n return data\n\n if total >= batch_size or force:\n if len(data) > 0:\n db.bulk_query(sql, data)\n data = []\n\n return data\n"},{"alpha_fraction":0.57485032081604,"alphanum_fraction":0.5948103666305542,"avg_line_length":24.049999237060547,"blob_id":"fff96e2d940829bd21cb0283b524da4cf5201a14","content_id":"8c9bc61501bef031b85743ae7d5b429e470b42f3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":513,"license_type":"permissive","max_line_length":62,"num_lines":20,"path":"/mountains/django/utils.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/04/06\nfrom __future__ import unicode_literals, absolute_import\n\n\ndef get_client_ip(request):\n \"\"\"\n 获取客户端的IP\n :param request:\n :return:\n \"\"\"\n x_forwarded_for = request.META.get('HTTP_X_FORWARDED_FOR')\n x_real_ip = request.META.get('HTTP_X_REAL_IP')\n if x_real_ip:\n ip = x_real_ip\n elif x_forwarded_for:\n ip = x_forwarded_for.split(',')[0]\n else:\n ip = request.META.get('REMOTE_ADDR')\n return ip\n"},{"alpha_fraction":0.6835442781448364,"alphanum_fraction":0.7120253443717957,"avg_line_length":27.727272033691406,"blob_id":"d3e47ca058edb6c3915f91a6e68736b3d9f20052","content_id":"e302e5913e65ad8056658c69f26c7d3dfa098fdd","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":316,"license_type":"permissive","max_line_length":59,"num_lines":11,"path":"/convert_rst.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/05/20\nfrom __future__ import unicode_literals, absolute_import\nimport pypandoc\n\n# converts markdown to reStructured\nz = pypandoc.convert('README.md', 'rst', format='markdown')\n\n# writes converted file\nwith open('README.rst', 'w') as outfile:\n outfile.write(z)\n"},{"alpha_fraction":0.5649895071983337,"alphanum_fraction":0.5706798434257507,"avg_line_length":27.538461685180664,"blob_id":"fe788e5ece350cbc0ded7d7273accec378cbd670","content_id":"0dceb594ef556557ab61197d62acf9ff75422d11","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6740,"license_type":"permissive","max_line_length":83,"num_lines":234,"path":"/mountains/logging/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nimport logging\nimport logging.config\n\nFORMAT_VERBOSE = \"[%(asctime)s] %(levelname)s [%(name)s:%(lineno)s] %(message)s\"\n# Python的logging使用的是time的datefmt，并没有提供毫秒的datefmt\n# http://blog.csdn.net/arthur503/article/details/49359241\nDATE_FMT_VERBOSE = \"%Y-%m-%d %H:%M:%S\"\n\nFORMAT_SIMPLE = '%(levelname)s %(message)s'\nDATE_FMT_SIMPLE = \"%H:%M:%S\"\n\nDEBUG = 'DEBUG'\nINFO = 'INFO'\nWARNING = 'WARNING'\nERROR = 'ERROR'\nCRITICAL = 'CRITICAL'\n\n\ndef getLogger(name):\n \"\"\"\n 用于替代 logging.getLogger\n :param name:\n :return:\n \"\"\"\n return logging.getLogger(name)\n\n\ndef Logger(name):\n \"\"\"\n 用于替代 logging.getLogger\n :param name:\n :return:\n \"\"\"\n return logging.getLogger(name)\n\n\nclass BaseHandler(object):\n def __init__(self, level=DEBUG, format=None, datefmt=None):\n self.level = level\n self.format = format\n self.datefmt = datefmt\n\n if self.datefmt is None:\n self.datefmt = DATE_FMT_VERBOSE\n\n if self.format is None:\n self.format = FORMAT_VERBOSE\n\n self.handler_class = 'logging.handlers.StreamHandler'\n\n def get_formatter_name(self):\n return self.__class__.__name__\n\n def get_formatter(self):\n formatter = {\n self.get_formatter_name(): {\n 'format': self.format,\n 'datefmt': self.datefmt,\n }\n }\n\n return formatter\n\n def get_handler(self):\n handler = {\n self.get_formatter_name(): {\n 'level': self.level,\n 'class': self.handler_class,\n 'formatter': self.get_formatter_name()\n }\n }\n\n return handler\n\n\nclass StreamHandler(BaseHandler):\n def __init__(self, level=DEBUG, format=None, datefmt=None):\n super(StreamHandler, self).__init__(level, format, datefmt)\n self.handler_class = 'logging.StreamHandler'\n\n\nclass ColorStreamHandler(BaseHandler):\n def __init__(self, level=DEBUG, format=None, datefmt=None, log_colors=None):\n super(ColorStreamHandler, self).__init__(level, format, datefmt)\n self.format = '%(log_color)s' + self.format\n self.handler_class = 'colorlog.StreamHandler'\n try:\n import colorlog\n except:\n raise Exception('colorlog not installed')\n\n if log_colors is None:\n log_colors = {\n 'DEBUG': 'white',\n 'INFO': 'green',\n 'WARNING': 'yellow',\n 'ERROR': 'red',\n # 'CRITICAL': 'red',\n 'CRITICAL': 'red, bg_white',\n }\n self.log_colors = log_colors\n\n def get_formatter(self):\n formatter = {\n self.get_formatter_name(): {\n '()': 'colorlog.ColoredFormatter',\n 'format': self.format,\n 'datefmt': self.datefmt,\n 'log_colors': self.log_colors\n }\n }\n\n return formatter\n\n\nclass FileHandler(BaseHandler):\n def __init__(self, filename='log.txt', level=DEBUG, format=None, datefmt=None):\n super(FileHandler, self).__init__(level, format, datefmt)\n self.filename = filename\n self.handler_class = 'logging.FileHandler'\n\n def get_handler(self):\n handler = super(FileHandler, self).get_handler()\n new_params = {\n 'filename': self.filename\n }\n\n handler[self.get_formatter_name()].update(new_params)\n return handler\n\n\nclass RotatingFileHandler(BaseHandler):\n def __init__(self, filename='log.txt', max_bytes=1024 * 1024 * 10,\n backup_count=10, delay=True, level=DEBUG,\n format=None, datefmt=None):\n super(RotatingFileHandler, self).__init__(level, format, datefmt)\n self.filename = filename\n self.handler_class = 'logging.handlers.RotatingFileHandler'\n self.max_bytes = max_bytes\n self.backup_count = backup_count\n self.delay = delay\n\n def get_handler(self):\n handler = super(RotatingFileHandler, self).get_handler()\n new_params = {\n 'filename': self.filename,\n 'delay': self.delay,\n 'maxBytes': self.max_bytes,\n 'backupCount': self.backup_count\n }\n\n handler[self.get_formatter_name()].update(new_params)\n return handler\n\n\nclass TimedRotatingFileHandler(BaseHandler):\n def __init__(self, filename='log.txt', when='D', interval=1,\n backup_count=10, delay=True, level=DEBUG,\n format=None, datefmt=None):\n \"\"\"\n when 可以使用这些参数\n 'S' Seconds\n 'M' Minutes\n 'H' Hours\n 'D' Days\n 'W0'-'W6' Weekday (0=Monday)\n 'midnight' Roll over at midnight\n :param filename:\n :param when:\n :param interval:\n :param backup_count:\n :param delay:\n :param level:\n :param format:\n :param datefmt:\n \"\"\"\n super(TimedRotatingFileHandler, self).__init__(level, format, datefmt)\n self.filename = filename\n self.handler_class = 'logging.handlers.TimedRotatingFileHandler'\n self.when = when\n self.interval = interval\n self.delay = delay\n self.backup_count = backup_count\n\n def get_handler(self):\n handler = super(TimedRotatingFileHandler, self).get_handler()\n new_params = {\n 'filename': self.filename,\n 'delay': self.delay,\n 'when': self.when,\n 'interval': self.interval,\n 'backupCount': self.backup_count\n }\n\n handler[self.get_formatter_name()].update(new_params)\n return handler\n\n\ndef init_log(*handlers, **kwargs):\n \"\"\"\n :param handlers:\n :return:\n \"\"\"\n disable_existing_loggers = kwargs.get('disable_existing_loggers', False)\n\n handlers_config = [t.get_handler() for t in handlers]\n new_handlers_config = {}\n for t in handlers_config:\n new_handlers_config.update(t)\n\n formatter_config = [t.get_formatter() for t in handlers]\n new_formatter_config = {}\n for t in formatter_config:\n new_formatter_config.update(t)\n\n handler_name_list = [t.get_formatter_name() for t in handlers]\n dict_config = {\n 'version': 1,\n 'disable_existing_loggers': disable_existing_loggers,\n 'formatters': new_formatter_config,\n 'handlers': new_handlers_config,\n 'loggers': {\n '': {\n 'handlers': handler_name_list,\n 'level': 'DEBUG',\n }\n }\n }\n\n logging.config.dictConfig(dict_config)\n"},{"alpha_fraction":0.5018450021743774,"alphanum_fraction":0.5633456110954285,"avg_line_length":25.225807189941406,"blob_id":"1d3472315a954583c0608aa9b10d41ad37998c2c","content_id":"e6aeaac2d116b2f413c36179e4e73ab130fb4f74","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":821,"license_type":"permissive","max_line_length":85,"num_lines":31,"path":"/tests/test_json.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/01/22\nfrom __future__ import unicode_literals, absolute_import\nfrom mountains import json\nimport unittest\nimport uuid\nfrom datetime import datetime\n\n\nclass Test(unittest.TestCase):\n def setUp(self):\n pass\n\n def test_json_loads(self):\n a = json.loads('{\"a\": 123, \"b\": \"456\", \"c\": \"中文\"}')\n self.assertEqual(a['a'], 123)\n self.assertEqual(a['b'], '456')\n self.assertEqual(a['c'], '中文')\n\n def test_json_dumps(self):\n data = {\n 'a': uuid.uuid4(),\n 'b': datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)\n }\n a = json.dumps(data)\n a = json.loads(a)\n self.assertEqual(a['b'], '2016-10-30 12:30:30')\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.5317646861076355,"alphanum_fraction":0.5490196347236633,"avg_line_length":20.428571701049805,"blob_id":"c969a966b6b42f8cdfccd895eb5f543bc527ffc6","content_id":"b1ae833712798fbc34f9c38dec0b7e3d3b99a9f3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2566,"license_type":"permissive","max_line_length":68,"num_lines":119,"path":"/mountains/encoding/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\nimport re\nfrom ..base import text_type, string_types\nimport string\nfrom base64 import b64decode, b32decode\n\n_UTF8_TYPES = (bytes, type(None))\n\n_TO_UNICODE_TYPES = (text_type, type(None))\n\n\ndef utf8(value, encoding=None):\n \"\"\"Converts a string argument to a byte string.\n \"\"\"\n if isinstance(value, _UTF8_TYPES):\n return value\n if not isinstance(value, text_type):\n raise TypeError(\n \"Expected bytes, unicode, or None; got %r\" % type(value)\n )\n\n if encoding is not None:\n return value.encode(encoding)\n\n try:\n return value.encode('utf-8')\n except:\n return value.encode('gbk')\n\n\ndef to_unicode(value, encoding=None):\n \"\"\"Converts a string argument to a unicode string.\n \"\"\"\n if isinstance(value, text_type):\n return value\n elif isinstance(value, type(None)):\n return text_type(value)\n\n if not isinstance(value, bytes):\n raise TypeError(\n \"Expected bytes, unicode, or None; got %r\" % type(value)\n )\n\n if encoding is not None:\n return value.decode(encoding)\n else:\n try:\n value = value.decode('utf-8')\n except:\n try:\n value = value.decode('gbk')\n except:\n pass\n\n return value\n\n\ndef force_text(s, encoding=None):\n \"\"\"\n 强制转成 Unicode\n \"\"\"\n\n return to_unicode(s, encoding)\n\n\ndef force_bytes(s, encoding=None):\n \"\"\"\n 强制转成 bytes\n \"\"\"\n\n return utf8(s, encoding)\n\n\ndef is_base64(s, is_printable=True):\n if len(s) % 4 != 0:\n return False\n\n b64rex = re.compile('^[A-Za-z0-9+/]+[=]{0,2}$', re.MULTILINE)\n if not b64rex.match(s):\n return False\n\n if is_printable:\n try:\n a = b64decode(s.encode()).decode()\n for c in a:\n if c not in string.printable:\n return False\n except:\n return False\n return True\n\n\ndef is_base32(s, is_printable=True):\n if len(s) % 8 != 0:\n return False\n\n rex = re.compile('^[A-Z2-7]+[=]{0,7}$', re.MULTILINE)\n if not rex.match(s):\n return False\n\n if is_printable:\n try:\n a = b32decode(s.encode()).decode()\n for c in a:\n if c not in string.printable:\n return False\n except:\n return False\n return True\n\n\ndef main():\n pass\n\n\nif __name__ == '__main__':\n main()\n"},{"alpha_fraction":0.5414238572120667,"alphanum_fraction":0.5459842681884766,"avg_line_length":22.355030059814453,"blob_id":"8daa1a4f4b0febb3c82fc5fa6ccff07846c82da9","content_id":"a48c219fde4023c589bf844ace8f4d76ec10e149","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4221,"license_type":"permissive","max_line_length":70,"num_lines":169,"path":"/mountains/file/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nimport os\nimport shutil\nfrom collections import deque\n\nfrom .. import json\nfrom ..datetime.converter import timestamp2datetime\nfrom ..encoding import force_text, force_bytes\n\n\ndef read_dict(file_name, clear_none=False, encoding='utf-8'):\n \"\"\"\n 读取字典文件\n :param encoding:\n :param clear_none:\n :param file_name:\n :return:\n \"\"\"\n with open(file_name, 'rb') as f:\n data = f.read()\n\n if encoding is not None:\n data = data.decode(encoding)\n\n line_list = data.splitlines()\n data = []\n i = 0\n for line in line_list:\n i += 1\n try:\n line = force_text(line).strip()\n data.append(line)\n except:\n print('read error line %s' % i)\n if clear_none:\n data = [t for t in data if t != '']\n data = deque(data)\n return data\n\n\ndef write_bytes_file(file_name, data):\n with open(file_name, 'wb') as f:\n f.write(force_bytes(data))\n\n\ndef read_bytes_file(file_name):\n with open(file_name, 'rb') as f:\n return f.read()\n\n\ndef write_file(file_name, data):\n \"\"\"\n 写文本文件\n :param file_name:\n :param data:\n :return:\n \"\"\"\n with open(file_name, 'w') as f:\n f.write(data)\n\n\ndef read_file(file_name, encoding='utf-8'):\n \"\"\"\n 读文本文件\n :param encoding:\n :param file_name:\n :return:\n \"\"\"\n with open(file_name, 'rb') as f:\n data = f.read()\n\n if encoding is not None:\n data = data.decode(encoding)\n\n return data\n\n\ndef read_json(file_name):\n try:\n return json.loads(read_bytes_file(file_name))\n except:\n return None\n\n\ndef write_json(file_name, data, indent=None,\n ensure_ascii=True, sort_keys=False, **kwargs):\n with open(file_name, 'wb') as f:\n try:\n data = json.dumps(data, indent=indent,\n ensure_ascii=ensure_ascii,\n sort_keys=sort_keys, **kwargs)\n f.write(force_bytes(data))\n return True\n except:\n return False\n\n\ndef get_file_size(file_path):\n \"\"\"\n 获取文件大小，返回的是字节\n :param file_path:\n :return:\n \"\"\"\n return os.path.getsize(file_path)\n\n\ndef get_file_access_time(file_path):\n \"\"\"\n 获取文件访问时间，返回 datetime 类型\n :param file_path:\n :return:\n \"\"\"\n return timestamp2datetime(os.path.getatime(file_path))\n\n\ndef get_file_create_time(file_path):\n \"\"\"\n 获取文件创建时间，返回 datetime 类型\n :param file_path:\n :return:\n \"\"\"\n return timestamp2datetime(os.path.getctime(file_path))\n\n\ndef get_file_modify_time(file_path):\n \"\"\"\n 获取文件修改时间，返回 datetime 类型\n :param file_path:\n :return:\n \"\"\"\n return timestamp2datetime(os.path.getmtime(file_path))\n\n\ndef copy_files(src_path, dst_path):\n \"\"\"\n :param src_path:\n :param dst_path:\n :return:\n \"\"\"\n abs_src_path = os.path.abspath(src_path)\n abs_dst_path = os.path.abspath(dst_path)\n # 遍历src_path目录下的所有文件\n for root, dirs, files in os.walk(src_path):\n try:\n for f in files:\n src_file_p = os.path.abspath(os.path.join(root, f))\n # 目标文件的完整路径\n dst_file_p = os.path.abspath(os.path.join(\n abs_dst_path, src_file_p[len(abs_src_path) + 1:]))\n # 判断目标文件是否已存在，已存在则改名\n if os.path.exists(dst_file_p):\n continue\n\n try:\n # 判断目标文件所在的文件夹是否存在，不存在则递归创建文件夹\n dst_p = os.path.dirname(dst_file_p)\n if not os.path.exists(dst_p):\n os.makedirs(dst_p)\n\n # 移动文件\n shutil.copy2(src_file_p, dst_file_p)\n except Exception as e:\n print('move file error: {}'.format(e))\n\n except Exception as ex:\n print('error: {}'.format(ex))\n"},{"alpha_fraction":0.5979809761047363,"alphanum_fraction":0.6110451221466064,"avg_line_length":25.73015785217285,"blob_id":"820f0c8022f19e57f3837ef03f85483d1d6b8314","content_id":"f0ab8cf70d3cca7c7c25f2f2e71a3d51734aa6fb","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1766,"license_type":"permissive","max_line_length":82,"num_lines":63,"path":"/mountains/django/api.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/10/13\nfrom __future__ import unicode_literals, absolute_import\n\nimport logging\n\nfrom .. import json\n\ntry:\n from django.http import HttpResponse\nexcept:\n class HttpResponse(object):\n def __init__(*args, **kwargs):\n raise Exception('django is not installed')\n\nlogger = logging.getLogger(__name__)\n\n\ndef http_response_json(dict_data):\n \"\"\"\n 返回json数据\n :param dict_data:\n :return:\n \"\"\"\n\n return HttpResponse(json.dumps(dict_data),\n content_type=\"application/json; charset=utf-8\")\n\n\nclass APIStatusCode(object):\n SUCCESS = 200 # 成功\n FAIL = 400 # 客户端的错误, 例如请求信息不正确\n ERROR = 500 # 服务端的错误, 例如出现异常\n LOGIN_REQUIRED = 401 # 需要登录才能访问\n\n\nclass APIHandler(object):\n @classmethod\n def return_json(cls, code, data, msg):\n try:\n return http_response_json({\n 'code': code, 'data': data, 'msg': msg})\n except Exception as e:\n logger.error(e)\n return http_response_json({\n 'code': APIStatusCode.ERROR, 'data': None,\n 'msg': msg})\n\n @classmethod\n def success(cls, data=None, msg='', code=APIStatusCode.SUCCESS):\n return cls.return_json(code, data, msg)\n\n @classmethod\n def fail(cls, data=None, msg='', code=APIStatusCode.FAIL):\n return cls.return_json(code, data, msg)\n\n @classmethod\n def login_required(cls, data=None, msg='', code=APIStatusCode.LOGIN_REQUIRED):\n return cls.return_json(code, data, msg)\n\n @classmethod\n def error(cls, data=None, msg='', code=APIStatusCode.ERROR):\n return cls.return_json(code, data, msg)\n"},{"alpha_fraction":0.6355576515197754,"alphanum_fraction":0.6462902426719666,"avg_line_length":26.126583099365234,"blob_id":"8d4300749c72427726712057e9c9d17963b92fcc","content_id":"cd6aa11fae37a84d7792774b5382562ce8defa0c","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2159,"license_type":"permissive","max_line_length":72,"num_lines":79,"path":"/mountains/base.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/29\nfrom __future__ import unicode_literals, absolute_import\n\nimport os\nimport sys\nimport types\n\nPY2 = sys.version_info[0] == 2\nPY3 = sys.version_info[0] == 3\nPYPY = True if getattr(sys, 'pypy_version_info', None) else False\n\nif PY3:\n string_types = str,\n integer_types = int,\n class_types = type,\n text_type = str\n binary_type = bytes\n long_type = int\n from queue import Queue\n from io import BytesIO, StringIO\n from urllib.parse import urlencode, quote, \\\n quote_plus, urlparse, urlunparse\n\n MAXSIZE = sys.maxsize\nelse:\n string_types = basestring,\n integer_types = (int, long)\n class_types = (type, types.ClassType)\n text_type = unicode\n binary_type = str\n long_type = long\n from cStringIO import StringIO\n from io import BytesIO\n from urllib import urlencode, quote, quote_plus\n from urlparse import urlparse, urlunparse\n from Queue import Queue\n\n# 当前项目所在路径\n__base_path = os.path.dirname(os.path.abspath(__file__))\n\n\ndef iteritems(obj, **kwargs):\n \"\"\"Use this only if compatibility with Python versions before 2.7 is\n required. Otherwise, prefer viewitems().\n \"\"\"\n func = getattr(obj, \"iteritems\", None)\n if not func:\n func = obj.items\n return func(**kwargs)\n\n\ndef iterkeys(obj, **kwargs):\n \"\"\"Use this only if compatibility with Python versions before 2.7 is\n required. Otherwise, prefer viewkeys().\n \"\"\"\n func = getattr(obj, \"iterkeys\", None)\n if not func:\n func = obj.keys\n return func(**kwargs)\n\n\ndef itervalues(obj, **kwargs):\n \"\"\"Use this only if compatibility with Python versions before 2.7 is\n required. Otherwise, prefer viewvalues().\n \"\"\"\n func = getattr(obj, \"itervalues\", None)\n if not func:\n func = obj.values\n return func(**kwargs)\n\n\n__all__ = [\n 'PY2', 'PY3', 'PYPY', 'urlencode', 'quote', 'quote_plus',\n 'urlparse', 'urlunparse', 'StringIO',\n 'string_types', 'integer_types', 'class_types', 'text_type',\n 'binary_type', 'long_type', 'BytesIO', '__base_path', 'Queue',\n 'iteritems', 'iterkeys', 'itervalues'\n]\n"},{"alpha_fraction":0.6066433787345886,"alphanum_fraction":0.632867157459259,"avg_line_length":34.75,"blob_id":"7ae678f54c914e77652df6e881fd0200f0a2f668","content_id":"2814eb86f389974bc85d74368fa892bd608eea4b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":572,"license_type":"permissive","max_line_length":76,"num_lines":16,"path":"/mountains/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/7/26\nfrom __future__ import unicode_literals, absolute_import\n\nfrom .base import PY2, PY3, PYPY, string_types, integer_types, \\\n class_types, text_type, binary_type, long_type, BytesIO, StringIO\nfrom .encoding import force_text, force_bytes\n\n__author__ = \"restran <grestran@gmail.com>\"\n__version__ = \"0.8.7\"\n\n__all__ = [\n '__author__', '__version__', 'PY2', 'PY3', 'PYPY',\n 'string_types', 'integer_types', 'class_types', 'text_type', 'StringIO',\n 'binary_type', 'long_type', 'BytesIO', 'force_text', 'force_bytes',\n]\n"},{"alpha_fraction":0.6120996475219727,"alphanum_fraction":0.6316726207733154,"avg_line_length":20.615385055541992,"blob_id":"0f2f9bfbb949bfb63da9410fdbc82e001f0c82e0","content_id":"ae5fe1a41f5e578d81874874c8352f854ff1e265","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":562,"license_type":"permissive","max_line_length":56,"num_lines":26,"path":"/tests/test_file.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/11/13\nfrom __future__ import unicode_literals, absolute_import\nfrom mountains import file\nimport unittest\nimport uuid\nfrom datetime import datetime\n\n\nclass Test(unittest.TestCase):\n def setUp(self):\n pass\n\n # def test_json_loads(self):\n # file.read_json('data/test.json')\n\n def test_json_dumps(self):\n pass\n\n # def test_file_size(self):\n # size = file.get_file_size('data/test.txt')\n # self.assertEqual(size, 57)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.4666211009025574,"alphanum_fraction":0.5299612879753113,"avg_line_length":24.36994171142578,"blob_id":"ad957af0dedc4ec5859161e44b58e3c18707483f","content_id":"c39fe18287677f7f48e1ddb918c69cd84be6515a","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4533,"license_type":"permissive","max_line_length":85,"num_lines":173,"path":"/mountains/gis/evil_transform.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2019/04/08\nfrom __future__ import unicode_literals, absolute_import\n\n\"\"\"\nOriginal from https://github.com/googollee/eviltransform\n地球坐标（WGS-84）\n火星坐标（GCJ－2）\nGCJ-02坐标用在谷歌地图，高德地图、腾讯地图等中国地图服务。\n百度地图要在GCJ-02基础上再加转换\n\"\"\"\n\nimport math\n\n__all__ = ['wgs2gcj', 'gcj2wgs', 'gcj2wgs_exact',\n 'distance', 'gcj2bd', 'bd2gcj', 'wgs2bd', 'bd2wgs']\n\nearth_r = 6378137.0\n\n\ndef out_of_china(lat, lng):\n return not (72.004 <= lng <= 137.8347 and 0.8293 <= lat <= 55.8271)\n\n\ndef transform(x, y):\n xy = x * y\n abs_x = math.sqrt(abs(x))\n x_pi = x * math.pi\n y_pi = y * math.pi\n d = 20.0 * math.sin(6.0 * x_pi) + 20.0 * math.sin(2.0 * x_pi)\n\n lat = d\n lng = d\n\n lat += 20.0 * math.sin(y_pi) + 40.0 * math.sin(y_pi / 3.0)\n lng += 20.0 * math.sin(x_pi) + 40.0 * math.sin(x_pi / 3.0)\n\n lat += 160.0 * math.sin(y_pi / 12.0) + 320 * math.sin(y_pi / 30.0)\n lng += 150.0 * math.sin(x_pi / 12.0) + 300.0 * math.sin(x_pi / 30.0)\n\n lat *= 2.0 / 3.0\n lng *= 2.0 / 3.0\n\n lat += -100.0 + 2.0 * x + 3.0 * y + 0.2 * y * y + 0.1 * xy + 0.2 * abs_x\n lng += 300.0 + x + 2.0 * y + 0.1 * x * x + 0.1 * xy + 0.1 * abs_x\n\n return lat, lng\n\n\ndef delta(lat, lng):\n ee = 0.00669342162296594323\n d_lat, d_lng = transform(lng - 105.0, lat - 35.0)\n rad_lat = lat / 180.0 * math.pi\n magic = math.sin(rad_lat)\n magic = 1 - ee * magic * magic\n sqrt_magic = math.sqrt(magic)\n d_lat = (d_lat * 180.0) / ((earth_r * (1 - ee)) / (magic * sqrt_magic) * math.pi)\n d_lng = (d_lng * 180.0) / (earth_r / sqrt_magic * math.cos(rad_lat) * math.pi)\n return d_lat, d_lng\n\n\ndef wgs2gcj(wgs_lat, wgs_lng):\n if out_of_china(wgs_lat, wgs_lng):\n return wgs_lat, wgs_lng\n else:\n d_lat, d_lng = delta(wgs_lat, wgs_lng)\n return wgs_lat + d_lat, wgs_lng + d_lng\n\n\ndef gcj2wgs(gcj_lat, gcj_lng):\n if out_of_china(gcj_lat, gcj_lng):\n return gcj_lat, gcj_lng\n else:\n d_lat, d_lng = delta(gcj_lat, gcj_lng)\n return gcj_lat - d_lat, gcj_lng - d_lng\n\n\ndef gcj2wgs_exact(gcj_lat, gcj_lng):\n init_delta = 0.01\n threshold = 0.000001\n d_lat = d_lng = init_delta\n m_lat = gcj_lat - d_lat\n m_lng = gcj_lng - d_lng\n p_lat = gcj_lat + d_lat\n p_lng = gcj_lng + d_lng\n for i in range(30):\n wgs_lat = (m_lat + p_lat) / 2\n wgs_lng = (m_lng + p_lng) / 2\n tmp_lat, tmp_lng = wgs2gcj(wgs_lat, wgs_lng)\n d_lat = tmp_lat - gcj_lat\n d_lng = tmp_lng - gcj_lng\n if abs(d_lat) < threshold and abs(d_lng) < threshold:\n return wgs_lat, wgs_lng\n if d_lat > 0:\n p_lat = wgs_lat\n else:\n m_lat = wgs_lat\n if d_lng > 0:\n p_lng = wgs_lng\n else:\n m_lng = wgs_lng\n return wgs_lat, wgs_lng\n\n\ndef distance(lat_a, lng_a, lat_b, lng_b):\n \"\"\"\n 计算两个经纬度之间的距离\n :param lat_a:\n :param lng_a:\n :param lat_b:\n :param lng_b:\n :return:\n \"\"\"\n pi180 = math.pi / 180\n arc_lat_a = lat_a * pi180\n arc_lat_b = lat_b * pi180\n x = (math.cos(arc_lat_a) * math.cos(arc_lat_b) *\n math.cos((lng_a - lng_b) * pi180))\n y = math.sin(arc_lat_a) * math.sin(arc_lat_b)\n s = x + y\n if s > 1:\n s = 1\n if s < -1:\n s = -1\n alpha = math.acos(s)\n d = alpha * earth_r\n return d\n\n\ndef gcj2bd(gcj_lat, gcj_lng):\n \"\"\"\n GCJ－2转百度\n :param gcj_lat:\n :param gcj_lng:\n :return:\n \"\"\"\n if out_of_china(gcj_lat, gcj_lng):\n return gcj_lat, gcj_lng\n\n x = gcj_lng\n y = gcj_lat\n z = math.hypot(x, y) + 0.00002 * math.sin(y * math.pi)\n theta = math.atan2(y, x) + 0.000003 * math.cos(x * math.pi)\n bd_lng = z * math.cos(theta) + 0.0065\n bd_lat = z * math.sin(theta) + 0.006\n return bd_lat, bd_lng\n\n\ndef bd2gcj(bd_lat, bd_lng):\n \"\"\"\n 百度转GCJ－2\n :param bd_lat:\n :param bd_lng:\n :return:\n \"\"\"\n if out_of_china(bd_lat, bd_lng):\n return bd_lat, bd_lng\n\n x = bd_lng - 0.0065\n y = bd_lat - 0.006\n z = math.hypot(x, y) - 0.00002 * math.sin(y * math.pi)\n theta = math.atan2(y, x) - 0.000003 * math.cos(x * math.pi)\n gcj_lng = z * math.cos(theta)\n gcj_lat = z * math.sin(theta)\n return gcj_lat, gcj_lng\n\n\ndef wgs2bd(wgs_lat, wgs_lng):\n return gcj2bd(*wgs2gcj(wgs_lat, wgs_lng))\n\n\ndef bd2wgs(bd_lat, bd_lng):\n return gcj2wgs(*bd2gcj(bd_lat, bd_lng))\n"},{"alpha_fraction":0.5761024355888367,"alphanum_fraction":0.6187766790390015,"avg_line_length":24.10714340209961,"blob_id":"ba0248d322e6f6296038baa0d7efc77177389279","content_id":"800dad1ed55cb9e5b04a6a0bf16b4c57cd53c5f1","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":703,"license_type":"permissive","max_line_length":61,"num_lines":28,"path":"/tests/test_utils.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/10/13\nfrom __future__ import unicode_literals, absolute_import\n\nimport logging\nimport unittest\n\nfrom mountains.utils import any_in, any_none\n\nlogger = logging.getLogger(__name__)\n\n\nclass UtilsTest(unittest.TestCase):\n def setUp(self):\n pass\n\n def test_any_none(self):\n self.assertEqual(any_none(1, 2, 3, None), True)\n self.assertEqual(any_none(1, 2, 3), False)\n\n def test_any_in(self):\n self.assertEqual(any_in('123abc123', 'a', 'b'), True)\n self.assertEqual(any_in('123ab123', 'a', 'c'), True)\n self.assertEqual(any_in('123', 'a', 'b', 'c'), False)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.6238806247711182,"alphanum_fraction":0.6537313461303711,"avg_line_length":26.91666603088379,"blob_id":"08ee1773f89f0c51bb5c86160c4bd82db439eaef","content_id":"d7faa529aa62a5509b93fa453b5f78a8ff8bac58","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":335,"license_type":"permissive","max_line_length":56,"num_lines":12,"path":"/mountains/utils/converter.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/01/22\nfrom __future__ import unicode_literals, absolute_import\n\n\ndef str2int(number_str, default_value=None):\n if number_str is None or number_str == '':\n return default_value\n try:\n return int(number_str)\n except Exception as e:\n return default_value\n"},{"alpha_fraction":0.521558403968811,"alphanum_fraction":0.5257156491279602,"avg_line_length":30.181482315063477,"blob_id":"57d064b7af640d693233b156f90d5b3815e8ecf3","content_id":"018f663e707c55ff6322a1176b2aca92e5266a81","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8865,"license_type":"permissive","max_line_length":92,"num_lines":270,"path":"/mountains/ssh/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/6/5\nfrom __future__ import unicode_literals, absolute_import\n\nimport logging\nimport time\nfrom ..encoding import force_text\n\ntry:\n import paramiko\nexcept ImportError:\n raise Exception('paramiko is not installed')\n\nlogger = logging.getLogger(__name__)\n\n\nclass SSHClient(object):\n def __init__(self, host, port, username, password=None, key_file=None,\n key_pass=None, show_output=False, manual_connect=False, timeout=10):\n \"\"\"\n\n :param host:\n :param port:\n :param username:\n :param password:\n :param key_file:\n :param key_pass:\n :param show_output: 是否显示命令的执行结果\n :param manual_connect:\n :param timeout:\n \"\"\"\n self.is_root = False\n self.host = host\n self.port = int(port)\n self.username = username\n self.password = password\n self.ssh_session = paramiko.SSHClient()\n self.ssh_session.load_system_host_keys()\n self.key_file = key_file\n self.key_pass = key_pass\n self.ssh_session.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n self.private_key = None\n self.sftp = None\n self.show_output = show_output\n self.timeout = timeout\n if not manual_connect:\n use_key = self.key_file is not None\n self.ssh_connect(password, use_key)\n\n def ssh_connect(self, password=None, use_key=False):\n if not use_key:\n if password is None:\n password = self.password\n\n self.ssh_session.connect(hostname=self.host, port=self.port,\n username=self.username, password=password,\n look_for_keys=False, timeout=self.timeout)\n else:\n self.private_key = paramiko.RSAKey.from_private_key_file(\n self.key_file, self.key_pass)\n self.ssh_session.connect(hostname=self.host, port=self.port,\n username=self.username, pkey=self.private_key,\n timeout=self.timeout)\n\n def get_sftp(self, refresh=False):\n if self.sftp is None or refresh:\n self.sftp = paramiko.SFTPClient.from_transport(self.ssh_session.get_transport())\n\n return self.sftp\n\n def dispose(self):\n try:\n if self.sftp is not None:\n self.sftp.close()\n except:\n pass\n\n try:\n if self.ssh_session is not None:\n self.ssh_session.close()\n except:\n pass\n\n @classmethod\n def clean_ssh_line_output(cls, line):\n line = line.strip()\n split_list = [t for t in line.split(' ') if t != '']\n return split_list\n\n def run(self, cmd):\n stdin, stdout, stderr = self.ssh_session.exec_command(cmd)\n # stdin这个是输入的命令，stdout这个是命令的正确返回，stderr这个是命令的错误返回\n out = stdout.readlines()\n err = stderr.readlines()\n result = []\n if isinstance(out, list):\n result.extend(out)\n if isinstance(err, list):\n result.extend(err)\n\n if self.show_output:\n logger.info(''.join(result))\n else:\n logger.debug(''.join(result))\n return ''.join(result).strip()\n\n def interactive_run(self, cmd):\n stdin, stdout, stderr = self.ssh_session.exec_command(cmd)\n return stdin, stdout, stderr\n\n def run_expect_command(self, cmd, expect_end=None, timeout=3, wait_seconds=2):\n \"\"\"\n 执行 shell 命令并获取返回结果\n :param timeout:\n :param wait_seconds:\n :param cmd:\n :param expect_end:\n :return:\n \"\"\"\n shell = self.ssh_session.invoke_shell()\n last_time = int(time.time())\n\n if not cmd.endswith('\\n'):\n cmd += '\\n'\n\n def receive():\n buff = ''\n if expect_end is None:\n buff = shell.recv(9999)\n else:\n while not buff.endswith(expect_end):\n resp = shell.recv(9999)\n buff += force_text(resp)\n now = int(time.time())\n\n if now - last_time > timeout:\n break\n\n buff = force_text(buff)\n if self.show_output:\n logger.info(buff)\n return buff\n if self.show_output:\n logger.info(cmd)\n shell.send(cmd)\n time.sleep(wait_seconds)\n return receive()\n\n def run_nohup(self, cmd, working_dir=None):\n \"\"\"\n 使用重定向输出，正常输出和错误信息都不显示，不会创建 nuhup.out，>/dev/null 2>&1\n :param cmd:\n :param working_dir: 当前的工作目录，如果没有 home 目录，会因为一些原因导致运行失败，比如没有无法创建 nohup.out\n :return:\n \"\"\"\n cmd = 'nohup %s >/dev/null 2>&1 &\\n\\n' % cmd\n if working_dir is not None:\n cmd = 'cd {}; {}'.format(working_dir, cmd)\n\n self.run_expect_command(cmd)\n\n def check_root(self):\n result = self.run('id')\n return \"uid=0\" in result, result\n\n def check_sudo(self):\n \"\"\"\n TODO 有问题，应该检查用户组\n :return:\n \"\"\"\n stdin, stdout, stderr = self.ssh_session.exec_command('sudo whoami')\n stdin.write(\"%s\\n\" % self.password)\n stdin.write(\"\\n\\n\\n\\n\\n\\n\\n\\n\")\n stdout.read()\n error_message = stderr.read()[:-1]\n if b\"not in the sudoers file\" in error_message:\n logger.info('当前用户不在 sudo 组')\n return False\n else:\n logger.info(error_message)\n return True\n\n def write_ssh_key(self, pub_key):\n logger.info('写 SSH 公钥')\n try:\n id_rsa = open(pub_key, 'r').read().rstrip('\\n')\n self.run(\"mkdir -p ~/.ssh\")\n time.sleep(1)\n self.run(\"chmod 700 ~/.ssh\")\n cmd = \"\"\"echo \"{}\" >> ~/.ssh/authorized_keys\"\"\".format(id_rsa)\n self.run(cmd)\n cmd = \"chmod 600 ~/.ssh/authorized_keys\"\n self.run(cmd)\n return True\n except Exception as e:\n logger.error(e)\n return False\n\n def change_password(self, new_password):\n \"\"\"\n 一句话修改密码，但是只有 root 才有权限 echo username:new_password | chpasswd\n :param new_password:\n :return:\n \"\"\"\n is_root = self.check_root()\n if is_root[0]:\n self.is_root = True\n logger.warning(\"[+] Root user detected!\")\n else:\n self.is_root = False\n logger.warning(\"[+] Not a root user! (%s)\" % is_root[1])\n\n stdin, stdout, stderr = self.interactive_run('passwd')\n stdin.write(\"%s\\n\" % self.password)\n stdin.write(\"%s\\n\" % new_password)\n stdin.write(\"%s\\n\" % new_password)\n # 通过不停的回车，跳过密码输入错误的重试，避免卡在 stdout.read()\n stdin.write(\"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\")\n stdout.read()\n error_message = stderr.read()[:-1]\n if b'success' in error_message:\n self.password = new_password\n logger.info('密码修改成功')\n return True\n elif b'unchanged' in error_message:\n logger.info('密码未修改')\n self.password = new_password\n logger.info(error_message)\n return True\n elif b'choose a longer password' in error_message:\n logger.info('密码长度不符合要求')\n return False\n else:\n logger.info(error_message)\n logger.info('密码修改失败')\n return False\n\n def put(self, local_file, remote_file):\n \"\"\"\n 上传文件\n :param local_file:\n :param remote_file:\n :return:\n \"\"\"\n sftp = self.get_sftp()\n try:\n sftp.put(local_file, remote_file)\n return True\n except Exception as e:\n logger.error('上传文件失败')\n logger.error('remote: %s, local: %s' % (remote_file, local_file))\n logger.error(e)\n return False\n\n def get(self, remote_file, local_file):\n \"\"\"\n 下载文件\n :param remote_file:\n :param local_file:\n :return:\n \"\"\"\n sftp = self.get_sftp()\n try:\n sftp.get(remote_file, local_file)\n return True\n except Exception as e:\n logger.error('下载文件失败')\n logger.error('remote: %s, local: %s' % (remote_file, local_file))\n logger.error(e)\n return False\n"},{"alpha_fraction":0.6284796595573425,"alphanum_fraction":0.6429336071014404,"avg_line_length":30.6610164642334,"blob_id":"69bd76147f0b200f4de9142c09bd151859f85157","content_id":"6b8e5fe9ebd5c99b1199b6203b4d5290f4d6de27","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2016,"license_type":"permissive","max_line_length":88,"num_lines":59,"path":"/setup.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/7/27\nfrom __future__ import unicode_literals\n\nimport sys\n\nfrom future.utils import bytes_to_native_str\nfrom setuptools import setup, find_packages\n\nfrom mountains import __version__\n\nkwargs = {\n 'packages': find_packages(),\n # 还需要创建一个 MANIFEST.in 的文件，然后将这些数据也放在那里\n # package_data 添加了配置，Python2会报错\n 'package_data': {}\n}\n\ninstall_requires = [\n 'requests',\n 'simplejson'\n]\n\nif sys.version_info < (3, 0):\n install_requires.append('futures')\n\nkwargs['install_requires'] = install_requires\nreadme_file = 'README.md'\nlong_description = open(readme_file, 'rb').read()\n\nsetup(\n name='mountains', # 文件名\n version=__version__, # 版本(每次更新上传 pypi 需要修改)\n description=\"a util collection for python developing\",\n long_description=bytes_to_native_str(long_description), # 放README.md文件，方便在 pypi 页展示\n long_description_content_type='text/markdown',\n classifiers=[\n 'Programming Language :: Python :: 2',\n 'Programming Language :: Python :: 2.7',\n 'Programming Language :: Python :: 3',\n 'Programming Language :: Python :: 3.4',\n 'Programming Language :: Python :: 3.5',\n 'Programming Language :: Python :: 3.6',\n 'Programming Language :: Python :: 3.7',\n 'Programming Language :: Python :: 3.8',\n 'Programming Language :: Python :: 3.9',\n 'Programming Language :: Python :: Implementation :: CPython',\n 'Programming Language :: Python :: Implementation :: PyPy',\n ], # Get strings from http://pypi.python.org/pypi?:action=list_classifiers\n keywords='python utils', # 关键字\n author='restran', # 用户名\n author_email='grestran@gmail.com', # 邮箱\n url='https://github.com/restran/mountains', # github上的地址\n license='MIT', # 遵循的协议\n include_package_data=True,\n zip_safe=True,\n platforms='any',\n **kwargs\n)\n"},{"alpha_fraction":0.584330141544342,"alphanum_fraction":0.5946969985961914,"avg_line_length":33.83333206176758,"blob_id":"f9df58646b11bb2fbfded887515a461ef3eb6cfe","content_id":"2f27c5d5a66ff6e37006ba1b0268e8616d1183e9","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5516,"license_type":"permissive","max_line_length":122,"num_lines":144,"path":"/mountains/utils/email.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2016/07/02\nfrom __future__ import unicode_literals, absolute_import, print_function\n\nimport logging\nimport os\nimport smtplib\nfrom email.mime.multipart import MIMEMultipart\nfrom email.mime.text import MIMEText\nfrom email.utils import formatdate\nfrom email.header import make_header\n\nfrom .. import BytesIO, PY2\n\nlogger = logging.getLogger(__name__)\n\n\nclass EmailHandler(object):\n def __init__(self, mail_from, password, smtp_server, smtp_port=25):\n \"\"\"\n :param mail_from: 发件人\n :param password: 发件人密码\n :param smtp_server: SMTP服务器地址\n :param smtp_port: SMTP服务器端口，SSL 方式是 465\n :return:\n \"\"\"\n\n self.mail_from = mail_from\n self.password = password\n self.smtp_server = smtp_server\n self.smtp_port = smtp_port\n\n def send_mail_ssl(self, mail_to_list, subject, content, file_name_list):\n self.do_send_mail(True, mail_to_list, subject, content, file_name_list)\n\n def send_mail(self, mail_to_list, subject, content, file_name_list):\n self.do_send_mail(False, mail_to_list, subject, content, file_name_list)\n\n def do_send_mail(self, is_ssl, mail_to_list, subject, content, file_name_list):\n \"\"\"\n 发送邮件\n :param is_ssl: 使用SSL的方式发生\n :param mail_to_list: 收件人列表\n :param subject: 邮件主题\n :param content: 邮件正文\n :param file_name_list: 附近的文件路径列表\n :return:\n \"\"\"\n if is_ssl:\n smtp = smtplib.SMTP_SSL(self.smtp_server, self.smtp_port)\n else:\n smtp = smtplib.SMTP(self.smtp_server, self.smtp_port)\n smtp.ehlo(name='foxmail')\n # 调用login时，如果没有调用过 echlo 会自动调用该方法，但是默认使用的name为计算机名\n # 如果计算机名有中文，就会返回503方法未实现的异常\n smtp.login(self.mail_from, self.password)\n msg = MIMEMultipart()\n msg['From'] = self.mail_from\n msg['To'] = ', '.join(mail_to_list)\n msg['Date'] = formatdate(localtime=True)\n msg['Subject'] = subject\n # 如果 content 是 html，则需要设置 _subtype='html'\n # 默认情况下 _subtype='plain'，即纯文本\n msg.attach(MIMEText(content, _charset='UTF-8'))\n for fn in file_name_list:\n part = MIMEText(open(fn, 'rb').read(), 'base64', 'UTF-8')\n part[\"Content-Type\"] = 'application/octet-stream'\n basename = os.path.basename(fn)\n # 解决一些邮箱在手机客户端上，附件文件名丢失的问题\n part[\"Content-Type\"] = 'application/octet-stream;name=\"%s\"'% make_header([(basename,'UTF-8')]).encode('UTF-8')\n part[\"Content-Disposition\"] = 'attachment;filename=\"%s\"' % make_header([(basename, 'UTF-8')]).encode('UTF-8')\n msg.attach(part)\n smtp.sendmail(self.mail_from, mail_to_list, msg.as_string())\n smtp.close()\n\n\nclass PostfixEmailHandler(object):\n def __init__(self, mail_from, smtp_server='localhost', smtp_port=25):\n self.mail_from = mail_from\n self.smtp_server = smtp_server\n self.smtp_port = smtp_port\n\n def send_email(self, mail_to, subject, content, content_type='plain', files=None):\n \"\"\"\n :param content_type: 如果 text 是html，则需要设置 _subtype='html'\n :param mail_to:\n :param subject:\n :param content:\n :param files: (f_name, f_data)\n :return:\n \"\"\"\n assert type(mail_to) == list\n server = self.smtp_server\n if files is None:\n files = []\n\n msg = MIMEMultipart()\n msg['From'] = self.mail_from\n msg['To'] = ', '.join(mail_to)\n msg['Date'] = formatdate(localtime=True)\n msg['Subject'] = subject\n # 如果 text 是html，则需要设置 _subtype='html'\n # 默认情况下 _subtype='plain'，即纯文本\n msg.attach(MIMEText(content, _subtype=content_type, _charset='utf-8'))\n\n for fn, fd in files:\n part = MIMEText(fd, 'base64', 'utf-8')\n part[\"Content-Type\"] = 'application/octet-stream'\n basename = fn\n if PY2:\n basename = basename.encode('gb2312')\n # 文件名使用 gb2312 编码，否则会没有附件\n part.add_header('Content-Disposition', 'attachment', filename=('gb2312', '', basename))\n msg.attach(part)\n smtp = smtplib.SMTP(server, port=self.smtp_port)\n smtp.sendmail(self.mail_from, mail_to, msg.as_string())\n smtp.close()\n\n\ndef main():\n handler = EmailHandler('mail_from@example.com', 'password', 'smtp.example.com', 465)\n mail_to_list = ['example@test.com']\n subject = 'Python 发送邮件测试'\n content = '这是用 Python 自动发送的邮件，请勿回复'\n # 附件存放在当前文件夹\n file_name_list = ['test.rar']\n handler.send_mail_ssl(mail_to_list, subject, content, file_name_list)\n print('邮件发送成功')\n\n mail_to_list = ['mail_from@example.com']\n subject = 'Python 发送邮件测试'\n content = '这是用 Python 自动发送的邮件，请勿回复'\n bio = BytesIO()\n bio.write(b'123')\n bio.getvalue()\n files = [\n ('test中文3.txt', bio.getvalue()),\n ]\n handler = PostfixEmailHandler('mail_from@example.com')\n handler.send_email(mail_to_list, subject, content, files=files)\n\n\nif __name__ == '__main__':\n main()\n"},{"alpha_fraction":0.5466509461402893,"alphanum_fraction":0.5586329102516174,"avg_line_length":25.10769271850586,"blob_id":"7726096cdafba8b878f1328098b8d1bd1d632147","content_id":"983b9b78974213f54c3392798f9362663ca3d077","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5379,"license_type":"permissive","max_line_length":136,"num_lines":195,"path":"/mountains/http/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nimport os\nimport random\n\nimport requests\n\nfrom ..base import __base_path\nfrom ..file import read_dict\nfrom ..encoding import force_bytes\n\nDEFAULT_USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2983.0 Safari/537.36'\n\nGLOBAL_USER_AGENTS = {}\n\nUSER_AGENT_DATA_PATH = os.path.join(__base_path, 'http/data/user_agents.txt')\nMOBILE_USER_AGENT_DATA_PATH = os.path.join(__base_path, 'http/data/mobile_ua.txt')\n\n\ndef random_agent(agent_type='pc'):\n \"\"\"\n 随机获取一个 User-Agent\n :return:\n \"\"\"\n agent_type = agent_type.lower().strip()\n if agent_type in ('wexin', 'wx'):\n agent_type = 'wechat'\n\n if agent_type in ('ios',):\n agent_type = 'iphone'\n\n global GLOBAL_USER_AGENTS\n if agent_type not in GLOBAL_USER_AGENTS:\n if agent_type == 'pc':\n GLOBAL_USER_AGENTS[agent_type] = read_dict(USER_AGENT_DATA_PATH)\n elif agent_type in ('mobile', 'wechat', 'android', 'iphone', 'alipay'):\n if 'mobile' not in GLOBAL_USER_AGENTS:\n GLOBAL_USER_AGENTS['mobile'] = list(read_dict(MOBILE_USER_AGENT_DATA_PATH))\n mobile_data = GLOBAL_USER_AGENTS['mobile']\n\n if agent_type == 'wechat':\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'MicroMessenger' in t]\n elif agent_type == 'alipay':\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'Alipay' in t]\n elif agent_type == 'android':\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'Android' in t]\n elif agent_type == 'iphone':\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'iPhone' in t]\n else:\n GLOBAL_USER_AGENTS[agent_type] = mobile_data\n else:\n return DEFAULT_USER_AGENT\n\n return random.choice(GLOBAL_USER_AGENTS[agent_type])\n\n\ndef random_wx_agent():\n \"\"\"\n 返回一个微信的UserAgent\n :return:\n \"\"\"\n return random_agent('wechat')\n\n\ndef random_mobile_agent():\n \"\"\"\n 返回一个手机端的UserAgent\n :return:\n \"\"\"\n return random_agent('mobile')\n\n\ndef request(method, url, headers=None, data=None, session=None):\n \"\"\"\n :type session requests.session\n :param method:\n :param url:\n :param headers:\n :param data:\n :param session:\n :return:\n \"\"\"\n base_headers = {\n 'User-Agent': random_agent()\n }\n if headers is None:\n headers = {}\n\n base_headers.update(headers)\n\n if 'Content-Length' in headers:\n del base_headers['Content-Length']\n\n headers = base_headers\n if session is not None:\n req = session.request\n else:\n req = requests.request\n\n r = req(method, url, headers=headers, data=data)\n return r\n\n\ndef read_request(file_name, **params):\n \"\"\"\n 从文件中读取请求头，并根据格式化字符串模板，进行字符串格式化\n :param file_name:\n :param params:\n :return:\n \"\"\"\n with open(file_name, 'r') as f:\n data = f.read()\n return read_request_from_str(data, **params)\n\n\ndef read_request_from_str(data, **params):\n \"\"\"\n 从字符串中读取请求头，并根据格式化字符串模板，进行字符串格式化\n :param data:\n :param params:\n :return:\n \"\"\"\n method, uri = None, None\n headers = {}\n host = ''\n\n try:\n split_list = data.split('\\n\\n')\n headers_text = split_list[0]\n body = '\\n\\n'.join(split_list[1:])\n except:\n headers_text = data\n body = ''\n\n body = force_bytes(body)\n for k, v in params.items():\n body = body.replace(b'{%s}' % force_bytes(k), force_bytes(v))\n\n header_list = headers_text.split('\\n')\n\n for i, line in enumerate(header_list):\n line = line.strip()\n if line.strip() == '':\n continue\n\n line = line.format(**params)\n if i == 0:\n # 至多3个\n split_line = line.strip().split(' ')\n method, uri, _ = split_line[0], ' '.join(split_line[1:-1]), split_line[-1]\n else:\n # 至多2个\n header, value = line.split(':', 1)\n header = header.strip()\n value = value.strip()\n headers[header] = value\n if header.lower() == 'host':\n host = value\n\n return headers, method, uri, host, body\n\n\ndef query_str_2_dict(query_str):\n \"\"\"\n 将查询字符串，转换成字典\n a=123&b=456\n {'a': '123', 'b': '456'}\n :param query_str:\n :return:\n \"\"\"\n if query_str:\n query_list = query_str.split('&')\n query_dict = {}\n for t in query_list:\n # 避免在非法查询字符串的情况下报错\n # 例如未对url参数转义\n try:\n x = t.split('=')\n query_dict[x[0]] = x[1]\n except:\n pass\n else:\n query_dict = {}\n return query_dict\n\n\ndef raw_headers_to_dict(raw_headers):\n \"\"\"\n 通过原生请求头获取请求头字典\n :param raw_headers: {str} 浏览器请求头\n :return: {dict} headers\n \"\"\"\n return dict(line.split(\": \", 1) for line in raw_headers.split(\"\\n\") if ': ' in line)\n"},{"alpha_fraction":0.5658578872680664,"alphanum_fraction":0.5987868309020996,"avg_line_length":22.5510196685791,"blob_id":"d54941cd524af36efbcffd460658a2e27ed2c53d","content_id":"c06eae8d17a1cc77bcd9fb60a37c19f5eb20cb86","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1154,"license_type":"permissive","max_line_length":84,"num_lines":49,"path":"/mountains/logging/terminal.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/9/9\nfrom __future__ import unicode_literals, absolute_import\nimport sys\nfrom .terminal_size import get_terminal_size\n\nTERMINAL_SIZE = get_terminal_size()\n\n\ndef terminal_pos(y, x):\n return '\\x1b[%d;%dH' % (y, x)\n\n\ndef print_on_terminal_bottom(text):\n print('%s%s' % (terminal_pos(TERMINAL_SIZE[0], TERMINAL_SIZE[1]), text), end='')\n\n\ndef print_on_terminal_fix(text):\n sys.stdout.write(\"%s\\r\" % text)\n sys.stdout.flush()\n\n\nclass ColorConsole(object):\n GREEN = \"\\033[92m\"\n BLUE = \"\\033[94m\"\n BOLD = \"\\033[1m\"\n YELLOW = \"\\033[93m\"\n RED = \"\\033[91m\"\n END = \"\\033[0m\"\n\n @classmethod\n def green(cls, message):\n return '%s%s%s' % (cls.GREEN, message, cls.END)\n\n @classmethod\n def blue(cls, message):\n return '%s%s%s' % (cls.BLUE, message, cls.END)\n\n @classmethod\n def red(cls, message):\n return '%s%s%s' % (cls.RED, message, cls.END)\n\n @classmethod\n def yellow(cls, message):\n return '%s%s%s' % (cls.YELLOW, message, cls.END)\n\n @classmethod\n def bold(cls, message):\n return '%s%s%s' % (cls.BOLD, message, cls.END)\n"},{"alpha_fraction":0.6209795475006104,"alphanum_fraction":0.6527777910232544,"avg_line_length":32.77777862548828,"blob_id":"dde2f9bb8b9e36c421d642151d7f09a2b6108b72","content_id":"474f2c970944fa2ca21e292da46aa905db764629","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2736,"license_type":"permissive","max_line_length":86,"num_lines":81,"path":"/tests/test_datetime.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/01/22\nfrom __future__ import unicode_literals, absolute_import\n\nimport time\nimport unittest\nfrom datetime import datetime\nfrom mountains.datetime import converter\n\n\nclass DateTimeConverterTest(unittest.TestCase):\n def setUp(self):\n self.date_str = '2016-10-30 12:30:30'\n self.dt = datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)\n self.t = self.dt.timetuple()\n self.ts = int(time.mktime(self.t))\n self.ts_ms = int(time.mktime(self.t) * 1000)\n\n def test_str2datetime(self):\n dt = converter.str2datetime(self.date_str)\n self.assertEqual(dt, self.dt)\n\n def test_str2time(self):\n t = converter.str2time(self.date_str)\n self.assertEqual(t[0:6], self.t[0:6])\n\n def test_str2timestamp(self):\n ts = converter.str2timestamp(self.date_str)\n self.assertEqual(ts, self.ts)\n ts = converter.str2timestamp(self.date_str, millisecond=True)\n self.assertEqual(ts, self.ts_ms)\n\n def test_datetime2str(self):\n s = converter.datetime2str(self.dt)\n self.assertEqual(s, self.date_str)\n\n def test_datetime2time(self):\n t = converter.datetime2time(self.dt)\n self.assertEqual(t[0:6], self.t[0:6])\n\n def test_datetime2timestamp(self):\n ts = converter.datetime2timestamp(self.dt)\n self.assertEqual(ts, self.ts)\n ts = converter.datetime2timestamp(self.dt, millisecond=True)\n self.assertEqual(ts, self.ts_ms)\n\n def test_time2str(self):\n s = converter.time2str(self.t)\n self.assertEqual(s, self.date_str)\n\n def test_time2datetime(self):\n dt = converter.time2datetime(self.t)\n self.assertEqual(dt, self.dt)\n\n def test_time2timestamp(self):\n ts = converter.time2timestamp(self.t)\n self.assertEqual(ts, self.ts)\n ts = converter.time2timestamp(self.t, millisecond=True)\n self.assertEqual(ts, self.ts_ms)\n\n def test_timestamp2datetime(self):\n dt = converter.timestamp2datetime(self.ts)\n self.assertEqual(dt, self.dt)\n dt = converter.timestamp2datetime(self.ts_ms, millisecond=True)\n self.assertEqual(dt, self.dt)\n\n def test_timestamp2time(self):\n t = converter.timestamp2time(self.ts)\n self.assertEqual(t[0:6], self.t[0:6])\n t = converter.timestamp2time(self.ts_ms, millisecond=True)\n self.assertEqual(t[0:6], self.t[0:6])\n\n def test_timestamp2str(self):\n s = converter.timestamp2str(self.ts)\n self.assertEqual(s, self.date_str)\n s = converter.timestamp2str(self.ts_ms, millisecond=True)\n self.assertEqual(s, self.date_str)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.5171695947647095,"alphanum_fraction":0.5239334106445312,"avg_line_length":30.508195877075195,"blob_id":"1a7dfa55f0cba137e549f9449fcda88ed0df21ba","content_id":"1de000c53d8e7940dd353b99ffab5a1c9baa86b9","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2016,"license_type":"permissive","max_line_length":82,"num_lines":61,"path":"/mountains/concurrent/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nimport time\nfrom concurrent import futures\n\nfrom ..base import Queue\n\n\nclass TaskExecutor(object):\n \"\"\"\n 使用线程的执行器，可以并发执行任务\n \"\"\"\n\n def __init__(self, fn_task, task_params_list, max_workers=5):\n self.fn_task = fn_task\n self.max_workers = max_workers\n self.task_list = task_params_list\n self.task_queue = Queue()\n for t in task_params_list:\n self.task_queue.put(t)\n\n def get_next_tasks(self, max_num):\n output = []\n count = 0\n while not self.task_queue.empty() and count < max_num:\n t = self.task_queue.get()\n output.append(t)\n count += 1\n\n return output\n\n def run(self, *args, **kwargs):\n print('executor start')\n start_time = time.time()\n with futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor:\n next_tasks = self.get_next_tasks(self.max_workers)\n shut_down = False\n while not shut_down and len(next_tasks) > 0:\n future_to_task = {\n executor.submit(self.fn_task, task, *args, **kwargs): task\n for task in next_tasks\n }\n\n # 这里 ThreadPoolExecutor 必须要等当前的所有任务都执行完成后，\n # 才能开始下一批的任务\n for future in futures.as_completed(future_to_task):\n _ = future_to_task[future]\n try:\n shut_down = future.result()\n except Exception as exc:\n print(exc)\n continue\n\n if shut_down:\n break\n\n next_tasks = self.get_next_tasks(self.max_workers)\n end_time = time.time()\n print('executor done, %.3fs' % (end_time - start_time))\n"},{"alpha_fraction":0.4576271176338196,"alphanum_fraction":0.6101694703102112,"avg_line_length":28.5,"blob_id":"4c54da006e12e18e6bc4989c6bff55fe56a88f7a","content_id":"d2c69d8d5a13e6661b978ad0c826d33317e6db10","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":59,"license_type":"permissive","max_line_length":34,"num_lines":2,"path":"/mountains/gis/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2020/03/23\n"},{"alpha_fraction":0.6161971688270569,"alphanum_fraction":0.6443662047386169,"avg_line_length":22.66666603088379,"blob_id":"35df8e6d9619fbb6c99e643b6225939eea70ecdc","content_id":"f571f45e52b8e1b086967e3377c531101ecc9dac","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":568,"license_type":"permissive","max_line_length":66,"num_lines":24,"path":"/tests/test_concurrent.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nfrom mountains.concurrent import TaskExecutor\nimport time\nimport random\nimport unittest\n\n\nclass DateTimeConverterTest(unittest.TestCase):\n\n def test_task_executor(self):\n def fn_task(item):\n print(item)\n time.sleep(random.choice(range(0, 10)) / 10.0)\n\n task_params_list = range(3)\n t = TaskExecutor(fn_task, task_params_list, max_workers=2)\n t.run()\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.5062549710273743,"alphanum_fraction":0.5334916710853577,"avg_line_length":18.92113494873047,"blob_id":"9e136efa9a0296b51bcec961aedd02b2be5c7ad1","content_id":"0e5525293faf1666e7813b4815340782afe3ddf0","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6759,"license_type":"permissive","max_line_length":84,"num_lines":317,"path":"/mountains/encoding/converter.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/3/7\nfrom __future__ import unicode_literals, absolute_import\n\nimport binascii\nimport struct\nfrom xml.sax.saxutils import escape as xml_escape_func\nfrom xml.sax.saxutils import unescape as xml_unescape_func\n\nfrom mountains.encoding import force_bytes, force_text\n\n\ndef to_uu(data):\n \"\"\"\n uu编码\n :param data: 字符串\n :return: 编码后的字符串\n \"\"\"\n r = binascii.b2a_uu(force_bytes(data))\n return force_text(r)\n\n\ndef from_uu(data):\n \"\"\"\n 解uu编码\n :param data: uu编码的字符串\n :return: 字符串\n \"\"\"\n r = binascii.a2b_uu(data)\n return force_text(r)\n\n\ndef str2hex(s):\n \"\"\"\n 把一个字符串转成其ASCII码的16进制表示\n :param s: 要转换的字符串\n :return: ASCII码的16进制表示字符串\n \"\"\"\n return force_text(binascii.b2a_hex(force_bytes(s)))\n\n\ndef hex2str(s):\n \"\"\"\n 把十六进制字符串转换成其ASCII表示字符串\n :param s: 十六进制字符串\n :return: 字符串\n \"\"\"\n return force_text(binascii.a2b_hex(s))\n\n\nbase = [str(x) for x in range(10)] + [chr(x) for x in range(ord('A'), ord('A') + 6)]\n\n\ndef bin2dec(s):\n \"\"\"\n bin2dec\n 二进制 to 十进制: int(str,n=10)\n :param s:\n :return:\n \"\"\"\n return int(s, 2)\n\n\ndef dec2bin(s):\n \"\"\"\n dec2bin\n 十进制 to 二进制: bin()\n :param s:\n :return:\n \"\"\"\n if not isinstance(s, int):\n num = int(s)\n else:\n num = s\n mid = []\n while True:\n if num == 0:\n break\n num, rem = divmod(num, 2)\n mid.append(base[rem])\n\n return ''.join([str(x) for x in mid[::-1]])\n\n\ndef hex2dec(s):\n \"\"\"\n hex2dec\n 十六进制 to 十进制\n :param s:\n :return:\n \"\"\"\n if not isinstance(s, str):\n s = str(s)\n return int(s.upper(), 16)\n\n\ndef dec2hex(s):\n \"\"\"\n dec2hex\n 十进制 to 八进制: oct()\n 十进制 to 十六进制: hex()\n :param s:\n :return:\n \"\"\"\n if not isinstance(s, int):\n num = int(s)\n else:\n num = s\n return hex(num)[2:]\n\n\ndef byte2hex(s):\n \"\"\"\n 字节类型的数据转成16进制字符串\n :param s:\n :return:\n \"\"\"\n\n result = binascii.b2a_hex(s)\n return force_text(result)\n\n\ndef hex2bin(s):\n \"\"\"\n hex2tobin\n 十六进制 to 二进制: bin(int(str,16))\n :param s:\n :return:\n \"\"\"\n if len(s) % 2 != 0:\n s = '0' + s\n\n result = []\n for i in range(len(s) // 2):\n t = s[i * 2:(i + 1) * 2]\n x = dec2bin(hex2dec(t.upper()))\n padding_length = (8 - len(x) % 8) % 8\n # 每个16进制值（2个字符）进行转码，不足8个的，在前面补0\n x = '%s%s' % ('0' * padding_length, x)\n result.append(x)\n\n result = ''.join(result)\n return result if result != '' else '00000000'\n\n\ndef bin2hex(s):\n \"\"\"\n bin2hex\n 二进制 to 十六进制: hex(int(str,2))\n :param s:\n :return:\n \"\"\"\n padding_length = (8 - len(s) % 8) % 8\n # 从前往后解码，不足8个的，在后面补0\n encode_str = '%s%s' % (s, '0' * padding_length)\n # 解码后是 0xab1234，需要去掉前面的 0x\n return hex(int(encode_str, 2))[2:].rstrip('L')\n\n\ndef str2dec(s):\n \"\"\"\n string to decimal number.\n \"\"\"\n if not len(s):\n return 0\n return int(str2hex(s), 16)\n\n\ndef dec2str(n):\n \"\"\"\n decimal number to string.\n \"\"\"\n s = hex(int(n))[2:].rstrip('L')\n if len(s) % 2 != 0:\n s = '0' + s\n return hex2str(s)\n\n\ndef str2bin(s):\n \"\"\"\n String to binary.\n \"\"\"\n ret = []\n for c in s:\n ret.append(bin(ord(c))[2:].zfill(8))\n return ''.join(ret)\n\n\ndef bin2str(b):\n \"\"\"\n Binary to string.\n \"\"\"\n ret = []\n for pos in range(0, len(b), 8):\n ret.append(chr(int(b[pos:pos + 8], 2)))\n return ''.join(ret)\n\n\ndef from_digital(s, num):\n \"\"\"\n 进制转换，从指定机制转到10进制\n :param s:\n :param num:\n :return:\n \"\"\"\n if not 1 < num < 10:\n raise ValueError('digital num must between 1 and 10')\n return '%s' % int(s, num)\n\n\ndef to_digital(d, num):\n \"\"\"\n 进制转换，从10进制转到指定机制\n :param d:\n :param num:\n :return:\n \"\"\"\n if not isinstance(num, int) or not 1 < num < 10:\n raise ValueError('digital num must between 1 and 10')\n\n d = int(d)\n result = []\n x = d % num\n d = d - x\n result.append(str(x))\n while d > 0:\n d = d // num\n x = d % num\n d = d - x\n result.append(str(x))\n return ''.join(result[::-1])\n\n\ndef xml_escape(data):\n return xml_escape_func(data)\n\n\ndef xml_un_escape(data):\n return xml_unescape_func(data)\n\n\ndef str2int(number_str, default_value=None):\n if number_str is None or number_str == '':\n return default_value\n try:\n return int(number_str)\n except Exception as e:\n return default_value\n\n\ndef long2bytes(n, block_size=0):\n \"\"\"Convert an integer to a byte string.\n\n In Python 3.2+, use the native method instead::\n\n >>> n.to_bytes(block_size, 'big')\n\n For instance::\n\n >>> n = 80\n >>> n.to_bytes(2, 'big')\n b'\\x00P'\n\n If the optional :data:`blocksize` is provided and greater than zero,\n the byte string is padded with binary zeros (on the front) so that\n the total length of the output is a multiple of blocksize.\n\n If :data:`blocksize` is zero or not provided, the byte string will\n be of minimal length.\n \"\"\"\n # after much testing, this algorithm was deemed to be the fastest\n s = b''\n n = int(n)\n pack = struct.pack\n while n > 0:\n s = pack('>I', n & 0xffffffff) + s\n n = n >> 32\n # strip off leading zeros\n for i in range(len(s)):\n if s[i] != b'\\000'[0]:\n break\n else:\n # only happens when n == 0\n s = b'\\000'\n i = 0\n s = s[i:]\n # add back some pad bytes. this could be done more efficiently w.r.t. the\n # de-padding being done above, but sigh...\n if block_size > 0 and len(s) % block_size:\n s = (block_size - len(s) % block_size) * b'\\000' + s\n return s\n\n\ndef bytes2long(s):\n \"\"\"Convert a byte string to a long integer (big endian).\n\n In Python 3.2+, use the native method instead::\n\n >>> int.from_bytes(s, 'big')\n\n For instance::\n\n >>> int.from_bytes(b'\\x00P', 'big')\n 80\n\n This is (essentially) the inverse of :func:`long_to_bytes`.\n \"\"\"\n acc = 0\n unpack = struct.unpack\n length = len(s)\n if length % 4:\n extra = (4 - length % 4)\n s = b'\\000' * extra + s\n length = length + extra\n for i in range(0, length, 4):\n acc = (acc << 32) + unpack('>I', s[i:i + 4])[0]\n return acc\n"},{"alpha_fraction":0.5543318390846252,"alphanum_fraction":0.5668135285377502,"avg_line_length":19.96923065185547,"blob_id":"d297045c449b77c26c7efd1b4a7194c5db84e1c8","content_id":"71b76de3658008eeb5f88a3bd06721c24e8cfcb1","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1566,"license_type":"permissive","max_line_length":72,"num_lines":65,"path":"/mountains/decorator/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/9/15\nfrom __future__ import unicode_literals, absolute_import\n\nimport time\nfrom functools import wraps\n\n\n# 装饰器的本质，是把函数作为参数传给装饰器函数\n# 装饰器实际上是闭包\ndef log(func):\n \"\"\"\n 打印函数运行日志的装饰器\n :param func:\n :return:\n \"\"\"\n\n # wraps 这个装饰器会将 func 的 doc 和 __name__ 复制过来\n # 否则在 wrapper 中调用 func.__name__ 输出的就是 wrapper\n @wraps(func)\n def wrapper(*args, **kwargs):\n print('before call %s' % func.__name__)\n ret = func(*args, **kwargs)\n print('after call %s' % func.__name__)\n return ret\n\n return wrapper\n\n\ndef log_with_message(message):\n \"\"\"\n 打印函数运行日志的装饰器，可以再给装饰器传参数\n :param message:\n :return:\n \"\"\"\n\n def decorator(func):\n @wraps(func)\n def wrapper(*args, **kwargs):\n print('decorator log_with_message is running, %s' % message)\n ret = func(*args, **kwargs)\n return ret\n\n return wrapper\n\n return decorator\n\n\ndef time_elapsed(func):\n \"\"\"\n 记录函数运行耗时的生成器\n :param func:\n :return:\n \"\"\"\n\n @wraps(func)\n def wrapper(*args, **kwargs):\n timestamp = time.time() * 1000\n ret = func(*args, **kwargs)\n now_ts = time.time() * 1000\n elapsed = now_ts - timestamp\n print('%s costs time: %.2fms' % (func.__name__, elapsed))\n return ret\n\n return wrapper"},{"alpha_fraction":0.6009947657585144,"alphanum_fraction":0.6043105721473694,"avg_line_length":32.50925827026367,"blob_id":"7ad841efa85d12765bbb86f14a71170e67d0e71a","content_id":"ac7e67a205b54411372851713d6fc405f8271199","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3727,"license_type":"permissive","max_line_length":100,"num_lines":108,"path":"/mountains/file/csv.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/9/10\nfrom __future__ import unicode_literals, absolute_import\n\nimport csv\n\n__all__ = ['read_csv', 'read_csv_as_dict', 'write_csv', 'write_csv_from_dict']\n\n\ndef read_csv(filepath_or_buffer, encoding=None, delimiter=',', quotechar='\"'):\n \"\"\"\n 读 CSV 文件\n :param encoding: 设置编码，如果文件是UTF-8 with BOM，encoding 使用 utf-8-sig\n :param filepath_or_buffer:\n :param delimiter:\n :param quotechar:\n :return:\n \"\"\"\n\n if isinstance(filepath_or_buffer, str):\n with open(filepath_or_buffer, 'r', encoding=encoding) as csv_file:\n reader = csv.reader(csv_file, delimiter=delimiter, quotechar=quotechar)\n for row in reader:\n yield row\n\n else:\n reader = csv.reader(filepath_or_buffer, delimiter=delimiter, quotechar=quotechar)\n for row in reader:\n yield row\n\n\ndef read_csv_as_dict(filepath_or_buffer, headers=None, encoding=None, delimiter=',', quotechar='\"'):\n \"\"\"\n\n :param filepath_or_buffer:\n :param headers: 首行字段列表\n :param encoding: 设置编码，如果文件是UTF-8 with BOM，encoding 使用 utf-8-sig\n :param delimiter: 字段分隔符\n :param quotechar:\n :return:\n \"\"\"\n if isinstance(filepath_or_buffer, str):\n with open(filepath_or_buffer, 'r', encoding=encoding) as csv_file:\n reader = csv.DictReader(csv_file, fieldnames=headers,\n delimiter=delimiter, quotechar=quotechar)\n for row in reader:\n yield dict(row)\n else:\n reader = csv.DictReader(filepath_or_buffer, fieldnames=headers,\n delimiter=delimiter, quotechar=quotechar)\n for row in reader:\n yield dict(row)\n\n\ndef write_csv(filepath_or_buffer=None, headers=None, data=None,\n encoding=None, delimiter=',', quotechar='\"'):\n \"\"\"\n 写 CSV\n :param filepath_or_buffer:\n :param headers:\n :param data:\n :param encoding:\n :param delimiter:\n :param quotechar:\n :return:\n \"\"\"\n if isinstance(filepath_or_buffer, str):\n with open(filepath_or_buffer, 'w', encoding=encoding) as csv_file:\n writer = csv.writer(csv_file, delimiter=delimiter, quotechar=quotechar)\n if headers is not None and isinstance(headers, list):\n writer.writerow(headers)\n\n writer.writerows(data)\n else:\n writer = csv.writer(filepath_or_buffer, delimiter=delimiter, quotechar=quotechar)\n if headers is not None and isinstance(headers, list):\n writer.writerow(headers)\n\n writer.writerows(data)\n\n\ndef write_csv_from_dict(filepath_or_buffer=None, headers=None, data=None,\n write_header=True, encoding=None, delimiter=',',\n quotechar='\"'):\n \"\"\"\n data 是 list 类型，每一项都是字典类型\n :param write_header:\n :param filepath_or_buffer:\n :param headers:\n :param data:\n :param encoding:\n :param delimiter:\n :param quotechar:\n :return:\n \"\"\"\n if isinstance(filepath_or_buffer, str):\n with open(filepath_or_buffer, 'w', encoding=encoding) as csv_file:\n writer = csv.DictWriter(csv_file, fieldnames=headers, delimiter=delimiter,\n quotechar=quotechar)\n if write_header:\n writer.writeheader()\n writer.writerows(data)\n else:\n writer = csv.DictWriter(filepath_or_buffer, fieldnames=headers, delimiter=delimiter,\n quotechar=quotechar)\n if write_header:\n writer.writeheader()\n writer.writerows(data)\n"},{"alpha_fraction":0.6122807264328003,"alphanum_fraction":0.6280701756477356,"avg_line_length":21.799999237060547,"blob_id":"a3c97eafcb347100a0ad1e149b4f5c980387b86f","content_id":"1fa937bddfc12592081821e36185bcf87ada0c54","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":570,"license_type":"permissive","max_line_length":77,"num_lines":25,"path":"/tests/test_http.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/11/13\nfrom __future__ import unicode_literals, absolute_import\n\nimport unittest\n\nfrom mountains.http import random_agent, random_mobile_agent, random_wx_agent\n\n\nclass HTTPTest(unittest.TestCase):\n def setUp(self):\n pass\n\n def test_random_agent(self):\n random_agent()\n random_agent('pc')\n random_agent('wexin')\n random_agent('mobile')\n random_wx_agent()\n random_mobile_agent()\n self.assertEqual(True, True)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.5322006940841675,"alphanum_fraction":0.542868435382843,"avg_line_length":25.50261688232422,"blob_id":"9097b4eb6e1317cd4fd0f2136784805c7a56f812","content_id":"672cad9c0176c2a09a8560592aac54527f7cad22","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5280,"license_type":"permissive","max_line_length":113,"num_lines":191,"path":"/mountains/file/excel.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/04/16\nfrom __future__ import unicode_literals, absolute_import\n\nfrom datetime import datetime\n\nfrom ..base import BytesIO, text_type, iteritems\nfrom ..file import write_bytes_file\n\n__all__ = ['read_excel', 'write_excel', 'edit_excel']\n\n\ndef read_excel(file_name=None, file_contents=None, offset=1,\n header_index=0, sheet_index=0, sheet_name=None,\n dt2str=True, lower_header=True):\n \"\"\"\n 读取 Excel\n :param sheet_name:\n :param dt2str: 将日期类型的数据转成字符串\n :param header_index: header 在哪一行\n :param file_contents:\n :param sheet_index:\n :param file_name:\n :param offset: 偏移，一般第一行是表头，不需要读取数据\n :param lower_header: 标题转成小写\n :return:\n \"\"\"\n try:\n import xlrd\n from xlrd import xldate_as_tuple\n except:\n raise Exception('xlrd is not installed')\n\n try:\n workbook = xlrd.open_workbook(filename=file_name, file_contents=file_contents)\n except Exception as e:\n return None\n\n if len(workbook.sheets()) <= 0:\n return []\n\n if sheet_name is not None:\n sh = workbook.sheet_by_name(sheet_name)\n else:\n sh = workbook.sheet_by_index(sheet_index)\n\n raw_data = []\n n_rows = sh.nrows\n row = sh.row_values(header_index)\n header = []\n for t in row:\n t = text_type(t).strip()\n if lower_header:\n t = t.lower()\n header.append(t)\n\n # n_cols = sh.ncols\n # 第0行是提示信息和标题，跳过\n for i in range(offset, n_rows):\n try:\n # row = sh.row_values(i)\n d = {}\n # ctype: 0 empty,1 string, 2 number, 3 date, 4 boolean, 5 error\n for j, t in enumerate(header):\n ctype = sh.cell(i, j).ctype # 表格的数据类型\n cell = sh.cell_value(i, j)\n if ctype == 2 and cell % 1 == 0: # 如果是整形\n cell = int(cell)\n elif ctype == 3:\n # 转成datetime对象\n cell = datetime(*xldate_as_tuple(cell, 0))\n if dt2str:\n cell = cell.strftime('%Y-%m-%d %H:%M:%S')\n elif ctype == 4:\n cell = True if cell == 1 else False\n\n d[t] = cell\n raw_data.append(d)\n except Exception as e:\n pass\n\n return raw_data\n\n\ndef write_excel(headers, data, file_name, file_io=None):\n \"\"\"\n 写数据到新的Excel中\n :param headers:\n :param data:\n :param file_name:\n :param file_io:\n :return:\n \"\"\"\n try:\n import xlsxwriter\n except:\n raise Exception('xlsxwriter is not installed')\n\n sio = BytesIO()\n workbook = xlsxwriter.Workbook(sio)\n worksheet = workbook.add_worksheet()\n new_headers = []\n if len(headers) > 0:\n for t in headers:\n if isinstance(t, dict):\n new_headers.append(t.get('name', ''))\n else:\n new_headers.append(t)\n headers = new_headers\n for i, t in enumerate(headers):\n worksheet.write(0, i, t)\n\n index = 1\n for row in data:\n if isinstance(row, dict):\n for i, name in enumerate(headers):\n worksheet.write(index, i, row.get(name, ''))\n else:\n for i, x in enumerate(row):\n worksheet.write(index, i, x)\n index += 1\n # 关闭 Excel\n workbook.close()\n if file_io is not None:\n if not isinstance(file_io, BytesIO):\n raise Exception('output_fio should be BytesIO')\n else:\n file_io.write(sio.getvalue())\n else:\n write_bytes_file(file_name, sio.getvalue())\n\n\ndef edit_excel(file_name=None, sheet_index=0, sheet_name=None, data=None, output_filename=None, output_fio=None):\n \"\"\"\n 编辑 Excel，打开已有的 Excel，往里面填充数据\n :param file_name:\n :param sheet_index:\n :param sheet_name:\n :param data: data = {'A2': '123', 'A3': '456'}\n :param output_filename:\n :param output_fio:\n :type data: dict\n \"\"\"\n try:\n from openpyxl import load_workbook\n except:\n raise Exception('openpyxl is not installed')\n\n try:\n wb = load_workbook(file_name)\n if sheet_name is not None:\n ws = wb[sheet_name]\n else:\n ws = wb.worksheets[sheet_index]\n except Exception as e:\n return None\n\n for key, value in iteritems(data):\n try:\n ws[key] = value\n except:\n pass\n\n if output_fio is not None:\n if not isinstance(output_fio, BytesIO):\n raise Exception('output_fio should be BytesIO')\n else:\n wb.save(output_fio)\n elif output_filename is not None:\n wb.save(output_filename)\n else:\n wb.save(file_name)\n\n wb.close()\n\n\ndef to_excel_column_no(index, index_start_1=False):\n \"\"\"\n Excel 列编号是: A, B, ..., AA, ..., BA\n index 编号默认从1开始\n \"\"\"\n if index_start_1:\n index -= 1\n y = ''\n s = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n\n while index >= 0:\n y += s[index % 26]\n index = index // 26 - 1\n\n return y[::-1]\n"},{"alpha_fraction":0.6495726704597473,"alphanum_fraction":0.6615384817123413,"avg_line_length":33.411766052246094,"blob_id":"8542446a9691b4ba4836cb0a0d718a26850a9b1d","content_id":"0af607ca26eeeba122fbe6ea79b64f49bec3dfb2","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1170,"license_type":"permissive","max_line_length":103,"num_lines":34,"path":"/tests/test_logging.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nfrom mountains import logging\nfrom mountains.logging import StreamHandler, FileHandler, RotatingFileHandler, TimedRotatingFileHandler\nimport unittest\n\n\nclass UtilsTest(unittest.TestCase):\n def test_1(self):\n logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE),\n FileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\n logger = logging.getLogger(__name__)\n print('123')\n logger.debug('hello')\n\n def test_2(self):\n logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE),\n RotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\n logger = logging.getLogger(__name__)\n\n logger.debug('hello')\n\n def test_3(self):\n logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE),\n TimedRotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\n logger = logging.getLogger(__name__)\n\n logger.debug('hello')\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.6130831837654114,"alphanum_fraction":0.6211967468261719,"avg_line_length":24.610389709472656,"blob_id":"20d50d23de25c18e23ffedd1eaae10a6c726ff72","content_id":"ab332d7bd14c6761de2a0da9a2919d669fea022d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2168,"license_type":"permissive","max_line_length":75,"num_lines":77,"path":"/mountains/json/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\nimport uuid\nfrom datetime import datetime\nfrom decimal import Decimal\nfrom .. import text_type, PY3, force_text\n\n# https://github.com/esnme/ultrajson\n# ujson 速度比较快，但是有些参数没有，与 simplejson 和 json 不完全兼容\n# 而且 ujson 似乎已经不再维护了\n\ntry:\n import simplejson as json\n\n simplejson_imported = True\nexcept ImportError:\n import json\n\n simplejson_imported = False\n\n\ndef json_default(obj):\n \"\"\"\n 对一些数据类型的 json 序列化，\n 默认情况下 json 没有对 datetime 和 Decimal 进行序列化\n 如果不指定的话，会抛异常\n :param obj:\n :return:\n \"\"\"\n if isinstance(obj, datetime):\n return obj.strftime(\"%Y-%m-%d %H:%M:%S\")\n elif isinstance(obj, Decimal):\n return float(obj)\n elif isinstance(obj, uuid.UUID):\n return text_type(obj)\n else:\n try:\n return text_type(obj)\n except:\n pass\n\n raise TypeError(\"%r is not JSON serializable\" % obj)\n\n\nload = json.load\ndump = json.dump\n\n\ndef loads(content, encoding='utf-8', **kwargs):\n if PY3:\n # python3.5，json loads 必须为str类型，如果为bytes类型会报错\n # python3.7，json loads 支持str类型和bytes类型\n content = force_text(content)\n return json.loads(s=content, encoding=encoding, **kwargs)\n\n\ndef dumps(dict_data, ensure_ascii=True, indent=None,\n sort_keys=False, encoding='utf-8', **kwargs):\n \"\"\"\n 返回json数据\n :param encoding:\n :param ensure_ascii:\n :param sort_keys:\n :param indent:\n :param dict_data:\n :return:\n \"\"\"\n if simplejson_imported:\n return json.dumps(dict_data, default=json_default,\n ensure_ascii=ensure_ascii, indent=indent,\n sort_keys=sort_keys, encoding=encoding, **kwargs)\n else:\n return json.dumps(dict_data, default=json_default,\n ensure_ascii=ensure_ascii, indent=indent,\n sort_keys=sort_keys, **kwargs)\n"},{"alpha_fraction":0.5761091113090515,"alphanum_fraction":0.5798714756965637,"avg_line_length":26.734783172607422,"blob_id":"8f1e66665fbc182b0001d213be04138c2e60f655","content_id":"fb7a803b13b91d19ebc8406e2df305bdd6dfd1a8","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6473,"license_type":"permissive","max_line_length":94,"num_lines":230,"path":"/mountains/django/model.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# created by restran on 2018/01/22\nfrom __future__ import unicode_literals, absolute_import\n\nimport logging\nimport traceback\nimport math\n\ntry:\n from django.core.paginator import Paginator, EmptyPage\nexcept ImportError:\n raise Exception('django is not installed')\n\nfrom ..base import iteritems\n\nMAX_PAGE_SIZE = 100\n\nDEFAULT_PAGE_SIZE = 20\n\nlogger = logging.getLogger(__name__)\n\n\ndef object_set_dict_data(model_class, dict_data):\n obj = model_class()\n for k, v in iteritems(dict_data):\n setattr(obj, k, v)\n\n return obj\n\n\ndef add_fields_2_json(obj, json_dict, fields):\n for t in fields:\n if hasattr(obj, t):\n json_dict[t] = getattr(obj, t)\n\n\ndef set_dict_none_default(dict_item, default_value):\n \"\"\"\n 对字典中为None的值，重新设置默认值\n :param dict_item:\n :param default_value:\n :return:\n \"\"\"\n for (k, v) in iteritems(dict_item):\n if v is None:\n dict_item[k] = default_value\n\n\ndef auto_model_name_recognize(model_name):\n \"\"\"\n 自动将 site-user 识别成 SiteUser\n :param model_name:\n :return:\n \"\"\"\n name_list = model_name.split('-')\n return ''.join(['%s%s' % (name[0].upper(), name[1:]) for name in name_list])\n\n\ndef model_get_entry(model_class, entry_id=None, filter_dict=None, select_related_fields=None):\n \"\"\"\n \"\"\"\n if filter_dict is None:\n filter_dict = {}\n\n if entry_id is not None:\n filter_dict['id'] = entry_id\n\n try:\n if select_related_fields is None:\n return model_class.objects.get(**filter_dict)\n else:\n fields = [t.attname for t in model_class._meta.fields]\n fields.extend(select_related_fields)\n obj = model_class.objects.values(*fields).get(**filter_dict)\n return object_set_dict_data(model_class, obj)\n except model_class.DoesNotExist:\n return None\n except Exception as e:\n logger.error(traceback.format_exc())\n logger.error(e)\n return None\n\n\ndef model_delete_entry(model_class, entry_id):\n model_class.objects.filter(id=entry_id).delete()\n\n\ndef model_total_count(model_class, filter_dict=None, q_filter=None):\n if filter_dict is None:\n filter_dict = {}\n\n if q_filter is not None:\n filter_list = [q_filter]\n else:\n filter_list = []\n\n return model_class.objects.filter(\n *filter_list, **filter_dict).count()\n\n\ndef model_to_select_list(model_class, filter_dict=None, q_filter=None):\n \"\"\"\n 只选择 id 和 name，用来做列表选择\n :param model_class:\n :param filter_dict:\n :param q_filter:\n :return:\n \"\"\"\n if filter_dict is None:\n filter_dict = {}\n\n if q_filter is not None:\n filter_list = [q_filter]\n else:\n filter_list = []\n\n objects = model_class.objects.filter(\n *filter_list, **filter_dict).values('id', 'name')\n\n return list(objects)\n\n\ndef model_to_list(model_class, filter_dict=None, order_by_list=None,\n select_related_fields=None, q_filter=None,\n values=None,\n to_json_method='to_json'):\n \"\"\"\n 不分页\n :param values:\n :param to_json_method:\n :param model_class:\n :param filter_dict:\n :param order_by_list:\n :param select_related_fields:\n :param q_filter:\n :return:\n \"\"\"\n return model_to_page_list(model_class, page_num=None,\n filter_dict=filter_dict, order_by_list=order_by_list,\n select_related_fields=select_related_fields,\n q_filter=q_filter, values=values,\n to_json_method=to_json_method)\n\n\ndef model_to_page_list(model_class, page_num,\n page_size=DEFAULT_PAGE_SIZE,\n filter_dict=None, order_by_list=None,\n select_related_fields=None, q_filter=None,\n values=None, to_json_method='to_json',\n max_page_size=MAX_PAGE_SIZE):\n \"\"\"\n :param max_page_size:\n :param model_class:\n :param page_num:\n :param page_size:\n :param filter_dict:\n :param order_by_list:\n :param select_related_fields:\n :param q_filter: Q(uuid__contains=keyword) | Q(memo__contains=keyword)\n :param values:\n :param to_json_method:\n :return:\n \"\"\"\n if order_by_list is None:\n order_by_list = ['-id']\n\n if filter_dict is None:\n filter_dict = {}\n\n if q_filter is not None:\n filter_list = [q_filter]\n else:\n filter_list = []\n\n if select_related_fields is None:\n if values is None:\n objects = model_class.objects.filter(\n *filter_list, **filter_dict).order_by(*order_by_list)\n else:\n objects = model_class.objects.filter(\n *filter_list, **filter_dict).values(*values).order_by(*order_by_list)\n else:\n if values is None:\n fields = [t.attname for t in model_class._meta.fields]\n else:\n fields = values\n fields.extend(select_related_fields)\n objects = model_class.objects.filter(\n *filter_list, **filter_dict).values(*fields).order_by(*order_by_list)\n\n if page_num is not None:\n if page_size > max_page_size:\n page_size = max_page_size\n\n paginator = Paginator(objects, page_size)\n try:\n obj_list = paginator.page(page_num)\n except EmptyPage as e:\n obj_list = []\n else:\n obj_list = list(objects)\n\n if select_related_fields is not None or values is not None:\n obj_list = [object_set_dict_data(model_class, t) for t in obj_list]\n\n if to_json_method is None:\n return obj_list\n else:\n return [getattr(t, to_json_method)() for t in obj_list]\n\n\ndef bulk_delete(model, delete_id_list, id_name='id', batch_size=200):\n \"\"\"\n 批量删除\n :param model:\n :param delete_id_list:\n :param id_name: id的名称，一般是id\n :param batch_size:\n :return:\n \"\"\"\n total = len(delete_id_list)\n times = math.ceil(total * 1.0 / batch_size)\n for i in range(times):\n data_list = delete_id_list[i * batch_size:(i + 1) * batch_size]\n if len(data_list) > 0:\n id_list = [t for t in data_list]\n filter_params = {\n '{}__in'.format(id_name): id_list\n }\n model.objects.filter(**filter_params).delete()\n"},{"alpha_fraction":0.6034843325614929,"alphanum_fraction":0.6209059357643127,"avg_line_length":33.16666793823242,"blob_id":"ad8fedafd68afe6b36d826500232ce4615b40e3f","content_id":"cf3eb311743f42c3bd6f556748973aca1d847b87","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1435,"license_type":"permissive","max_line_length":95,"num_lines":42,"path":"/tests/test_string_utils.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2018/3/22\nfrom __future__ import unicode_literals, absolute_import\n\nfrom mountains.utils import string_utils\nimport unittest\nimport random\nimport string\n\n\nclass UtilsTest(unittest.TestCase):\n def test_line_break(self):\n s = ''.join([random.choice(string.ascii_letters + string.digits) for _ in range(3000)])\n break_s = string_utils.line_break(s)\n self.assertEqual(s, break_s.replace('\\n', ''))\n\n break_s = string_utils.line_break(s, 10)\n self.assertEqual(s, break_s.replace('\\n', ''))\n\n break_s = string_utils.line_break(s, 100)\n self.assertEqual(s, break_s.replace('\\n', ''))\n\n break_s = string_utils.line_break(s, 3001)\n self.assertEqual(s, break_s.replace('\\n', ''))\n\n def test_fixed_length_split(self):\n s = 'aaaabbbbccccdddd'\n r = string_utils.fixed_length_split(s, 4)\n self.assertEqual(r, ['aaaa', 'bbbb', 'cccc', 'dddd'])\n r = string_utils.fixed_length_split(s, 6)\n self.assertEqual(r, ['aaaabb', 'bbcccc', 'dddd'])\n r = string_utils.fixed_length_split(s, 16)\n self.assertEqual(r, ['aaaabbbbccccdddd'])\n\n def test_is_empty(self):\n self.assertEqual(string_utils.is_empty(''), True)\n self.assertEqual(string_utils.is_empty(None), True)\n self.assertEqual(string_utils.is_empty('aaa'), False)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.4704282879829407,"alphanum_fraction":0.4962610602378845,"avg_line_length":20.31884002685547,"blob_id":"a3118f38455536da2c59b44a22cf25085c8681c4","content_id":"cd6c17ff9880f5c92b6f287054f938632105ef9e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1553,"license_type":"permissive","max_line_length":74,"num_lines":69,"path":"/mountains/utils/string_utils.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/11/7\nfrom __future__ import unicode_literals, absolute_import\nfrom ..encoding import force_bytes, text_type, force_text\nfrom .. import PY2, string_types\n\n\ndef fixed_length_split(s, width):\n \"\"\"\n 固定长度分割字符串\n :param s:\n :param width:\n :return:\n \"\"\"\n # 使用正则的方法\n # import re\n # split = re.findall(r'.{%s}' % width, string)\n return [s[x: x + width] for x in range(0, len(s), width)]\n\n\ndef line_break(s, length=76):\n \"\"\"\n 将字符串分割成一行一行\n :param s:\n :param length:\n :return:\n \"\"\"\n x = '\\n'.join(s[pos:pos + length] for pos in range(0, len(s), length))\n return x\n\n\ndef is_empty(s):\n if s == '' or s == b'' or s is None or not isinstance(s, text_type):\n return True\n else:\n return False\n\n\ndef any_empty(*params):\n for s in params:\n if is_empty(s):\n return True\n else:\n return False\n\n\ndef bytes_2_printable_strings(data):\n data = force_bytes(data)\n result = ['', '']\n for c in data:\n if PY2:\n c = ord(c)\n\n if 32 <= c <= 126 or c in (9, 10, 13):\n if c == 9:\n c = 32\n elif c == 13:\n c = 10\n\n # 去掉连续的空格\n if c == 32 and result[-1] == ' ':\n continue\n # 去掉连续的换行\n elif c == 10 and result[-1] == '\\n':\n continue\n\n result.append(chr(c))\n\n return ''.join(result)\n"},{"alpha_fraction":0.6206896305084229,"alphanum_fraction":0.6896551847457886,"avg_line_length":37.33333206176758,"blob_id":"b6c799c8078b2e79fb069feedda0335ae3fa6c89","content_id":"cc41474e5061e426c232103cb860827d6c5d0718","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":116,"license_type":"permissive","max_line_length":56,"num_lines":3,"path":"/mountains/datetime/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/8/23\nfrom __future__ import unicode_literals, absolute_import\n\n"},{"alpha_fraction":0.5171327590942383,"alphanum_fraction":0.531705379486084,"avg_line_length":19.81147575378418,"blob_id":"8ba8289c06066d5a9e3a43bde5ceff636fe4b15d","content_id":"e3ee57e136a68c2f883f40424c7e266c8b17d97d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2539,"license_type":"permissive","max_line_length":94,"num_lines":122,"path":"/mountains/utils/__init__.py","repo_name":"restran/mountains","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Created by restran on 2017/9/15\nfrom __future__ import unicode_literals, absolute_import, print_function\nfrom .. import force_text, text_type, binary_type\n\nimport itertools\n\n__all__ = ['grouper', 'any_none', 'any_in', 'text_type_dict', 'PrintCollector', 'ObjectDict']\n\n\ndef grouper(iterable, size):\n \"\"\"\n >>> a = grouper([1,2,3,4,5,6,7],2)\n >>> list(a)\n [(1, 2), (3, 4), (5, 6), (7,)]\n :param iterable:\n :param size:\n :return:\n \"\"\"\n # http://stackoverflow.com/a/8991553\n it = iter(iterable)\n if size <= 0:\n yield it\n return\n while True:\n chunk = tuple(itertools.islice(it, size))\n if not chunk:\n return\n yield chunk\n\n\ndef any_none(*params):\n \"\"\"\n >>> a = None\n >>> b = 'abc'\n >>> any_none(a, b)\n True\n >>> any_none(b)\n False\n \"\"\"\n return any(map(lambda x: x is None, params))\n\n\ndef any_empty(*params):\n \"\"\"\n >>> a = None\n >>> b = 'abc'\n >>> any_none(a, b)\n True\n >>> any_none(b)\n False\n \"\"\"\n return any(map(lambda x: x in (None, '', False) or (iterable(x) and len(x) == 0), params))\n\n\ndef any_in(obj, *params):\n \"\"\"\n >>> any_in(['a', ''], '')\n True\n >>> any_in(['a', None], '', None)\n True\n \"\"\"\n return any(map(lambda x: x in obj, params))\n\n\ndef text_type_dict(dict_data):\n if not isinstance(dict_data, dict):\n raise TypeError\n\n new_dict = {}\n for k, v in dict_data.items():\n if isinstance(k, binary_type):\n k = k.decode('utf-8')\n if isinstance(v, binary_type):\n v = v.decode('utf-8')\n\n new_dict[k] = v\n\n return new_dict\n\n\nclass PrintCollector(object):\n def __init__(self):\n self.collector = []\n\n def print(self, output):\n self.collector.append(output)\n print(text_type(output))\n\n def all_output(self):\n return '\\n'.join([force_text(t) for t in self.collector])\n\n def smart_output(self, result=None, verbose=True):\n if verbose:\n return self.all_output()\n\n if result is None:\n result = self.collector\n\n return result\n\n\nclass ObjectDict(dict):\n \"\"\"Makes a dictionary behave like an object, with attribute-style access.\n \"\"\"\n\n def __getattr__(self, name):\n try:\n return self[name]\n except KeyError:\n return None\n\n def __setattr__(self, name, value):\n self[name] = value\n\n\ndef main():\n print(any_none(1, 2, 3, None))\n\n\nif __name__ == '__main__':\n main()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.42583248019218445,\n \"alphanum_fraction\": 0.528422474861145,\n \"avg_line_length\": 25.54464340209961,\n \"blob_id\": \"495aed644ec16c1aaabc20912788698ae0fdfbb3\",\n \"content_id\": \"9b8efdc08a7fad4003d32ccbada0b7ac6a7e6058\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2973,\n \"license_type\": \"permissive\",\n \"max_line_length\": 79,\n \"num_lines\": 112,\n \"path\": \"/tests/test_encoding.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/3/7\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport unittest\\n\\nfrom mountains.encoding import converter, is_base64, is_base32\\n\\n\\nclass Test(unittest.TestCase):\\n def setUp(self):\\n pass\\n\\n def test_hex2dec(self):\\n s = '1F'\\n r = converter.hex2dec(s)\\n self.assertEqual(r, 31)\\n s = '1F1F'\\n r = converter.hex2dec(s)\\n self.assertEqual(r, 7967)\\n\\n def test_dec2hex(self):\\n s = '31'\\n r = converter.dec2hex(s)\\n self.assertEqual(r.upper(), '1F')\\n s = '7967'\\n r = converter.dec2hex(s)\\n self.assertEqual(r.upper(), '1F1F')\\n\\n def test_bin2dec(self):\\n s = '11111'\\n r = converter.bin2dec(s)\\n self.assertEqual(r, 31)\\n\\n def test_dec2bin(self):\\n s = '31'\\n r = converter.dec2bin(s)\\n self.assertEqual(r, '11111')\\n\\n def test_str2dec(self):\\n s = 'abcdef'\\n r = converter.str2dec(s)\\n self.assertEqual(r, 107075202213222)\\n\\n def test_dec2str(self):\\n s = '107075202213222'\\n r = converter.dec2str(s)\\n self.assertEqual(r, 'abcdef')\\n\\n def test_str2hex(self):\\n s = 'abcdef'\\n r = converter.str2hex(s)\\n self.assertEqual(r, '616263646566')\\n\\n def test_hex2str(self):\\n s = '616263646566'\\n r = converter.hex2str(s)\\n self.assertEqual(r, 'abcdef')\\n\\n def test_hex2bin(self):\\n s = '616263646566'\\n r = converter.hex2bin(s)\\n self.assertEqual(r, '011000010110001001100011011001000110010101100110')\\n s = '00'\\n r = converter.hex2bin(s)\\n self.assertEqual(r, '00000000')\\n\\n def test_bin2hex(self):\\n s = '011000010110001001100011011001000110010101100110'\\n r = converter.bin2hex(s)\\n self.assertEqual(r, '616263646566')\\n\\n def test_to_digital(self):\\n for i in range(10, 1000):\\n for j in range(2, 10):\\n r = converter.to_digital(i, j)\\n x = converter.from_digital(r, j)\\n self.assertEqual(str(i), x)\\n\\n def test_is_base64(self):\\n data = [\\n (\\\"Y2QgL2QgIkM6L2luZXRwdWIvd3d3cm9vdCImd2hvYW1pJmVjaG8gW1NdJmNkJmVjaG8gW0Vd\\\", True),\\n (\\\"Qzov\\\", True),\\n (\\\"123\\\", False),\\n (\\\"Y21k\\\", True),\\n (\\\"0000\\\", False),\\n (\\\"QzovaW5ldHB1Yi93d3dyb290Lw==\\\", True),\\n (\\\"QzovaW5ldHB1Yi8=\\\", True),\\n (\\\"aHR0cDovLzExOC4zMS42Ni4yMy8yMDIwc2tpbGwvYS5leGU=\\\", True)\\n ]\\n\\n for (s, real_r) in data:\\n r = is_base64(s)\\n self.assertEqual(r, real_r)\\n\\n def test_is_base32(self):\\n data = [\\n (\\\"GFQWCYLB\\\", True),\\n (\\\"1\\\", False),\\n (\\\"123\\\", False),\\n (\\\"GE======\\\", True),\\n (\\\"0000\\\", False),\\n (\\\"GFQXGZDGMFZWIZTBONSGMYLTMRTGC43EMY======\\\", True)\\n ]\\n\\n for (s, real_r) in data:\\n r = is_base32(s)\\n self.assertEqual(r, real_r)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.7073884606361389,\n \"alphanum_fraction\": 0.7329919338226318,\n \"avg_line_length\": 26.059406280517578,\n \"blob_id\": \"368e011d14530678c783bbf9ab8f41ca46069192\",\n \"content_id\": \"fd1c81d939a52e693c90fa276b651d1d322f0e02\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 3326,\n \"license_type\": \"permissive\",\n \"max_line_length\": 377,\n \"num_lines\": 101,\n \"path\": \"/README.md\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# mountains\\n\\n[](https://travis-ci.org/restran/mountains) [](https://coveralls.io/github/restran/mountains?branch=master) [](https://pypi.python.org/pypi/mountains/)\\n\\n在开发Python的过程中经常会有一些常用的方法和工具类，因此将这些代码集成在一起，在开发新东西的时候就能直接调用，加速开发。\\n\\n<img src=\\\"docs/icon.png\\\" style=\\\"margin-left: auto; margin-right: auto; text-align: center; display: block;\\\">\\n\\n## 安装\\n\\n pip install mountains\\n\\n## 功能\\n\\n1. Python 2-3 兼容，大部分代码都尽可能做了兼容\\n2. 日期转换，各种日期、字符串、时间戳直接的转换\\n3. SSHClient\\n4. Tornado 的异步请求\\n5. Random HTTP User Agent\\n6. 文件、Excel、json 读写 \\n7. ...\\n\\n\\n### 日期转换\\n\\ndatetime、time、时间戳、日期字符串之间的转换\\n\\n```python\\n\\nimport time\\nfrom datetime import datetime\\nfrom mountains.datetime import converter\\n\\ndate_str = '2016-10-30 12:30:30'\\ndt = datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)\\nt = dt.timetuple()\\nts = int(time.mktime(t))\\nts_ms = int(time.mktime(t) * 1000)\\n\\n# 字符串转 datetime\\ndt = converter.str2datetime(date_str)\\n# 字符串转 time\\nconverter.str2time(date_str)\\n# 日期字符串转时间戳，结果为秒\\nconverter.str2timestamp(date_str)\\n# 日期字符串转时间戳，结果为毫秒\\nconverter.str2timestamp(date_str, millisecond=True)\\n# datetime 转字符串，默认格式 %Y-%m-%d %H:%M:%S\\nconverter.datetime2str(dt)\\n# datetime 转字符串，指定格式\\nconverter.datetime2str(dt, '%Y-%m-%d')\\n```\\n\\n### 日志功能 \\n\\n对原生的 logging 进行了封装，使用起来更简单\\n\\n```python\\nfrom mountains import logging\\nfrom mountains.logging import StreamHandler, FileHandler, RotatingFileHandler, TimedRotatingFileHandler\\n\\n# 配置日志，输出到控制台、保存到文件、日志级别、输出格式等，文件默认保存到 log.txt\\nlogging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), FileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\\n# RotatingFileHandler 按文件大小分割日志文件\\nlogging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), RotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\\n# TimedRotatingFileHandler 按时间分割日志文件\\nlogging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), TimedRotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\\n\\n# 使用方法与原生的 logging 一样\\nlogger = logging.getLogger(__name__)\\nlogger.debug('hello')\\n```\\n\\n### Excel 读写\\n\\n```python\\nfrom mountains.file.excel import read_excel, write_excel, edit_excel\\n# 读 Excel 文件\\ndata = read_excel('filename.xlsx')\\n\\n# 写新的 Excel\\nexcel_data = [\\n {\\n 'col1': '123',\\n 'col2': '456'\\n },\\n {\\n 'col1': '123',\\n 'col2': '456'\\n },\\n]\\n\\nheaders = ['col1', 'col2']\\nwrite_excel(headers, excel_data, 'filename.xlsx')\\n\\n# 编辑 Excel，打开已有的 Excel，往里面填充数据\\nedit_data = {\\n 'I2': '123'\\n}\\nedit_excel('test.xlsx', sheet_index=0, data=edit_data, output_filename='new_test.xlsx')\\n```\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5274426937103271,\n \"alphanum_fraction\": 0.5329714417457581,\n \"avg_line_length\": 32.7220344543457,\n \"blob_id\": \"10516178119512f91c0669c1ac0628dfcff0d718\",\n \"content_id\": \"4e2663f229946dfd5acef86a42b4df9eb4e60436\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 10150,\n \"license_type\": \"permissive\",\n \"max_line_length\": 97,\n \"num_lines\": 295,\n \"path\": \"/mountains/tornado/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/12/11\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport logging\\nimport platform\\nimport time\\nfrom collections import deque\\n\\nfrom ..base import urlunparse, urlparse, urlencode\\nfrom .. import json as json_util\\nfrom .. import force_text\\nfrom ..http import random_agent\\n\\ntry:\\n from tornado.gen import coroutine, is_future, Return\\n from tornado.httpclient import AsyncHTTPClient, HTTPRequest, HTTPError\\nexcept ImportError:\\n raise Exception('tornado is not installed')\\n\\nlogger = logging.getLogger(__name__)\\n\\nDEFAULT_CONNECT_TIMEOUT = 20\\nDEFAULT_REQUEST_TIMEOUT = 20\\nASYNC_HTTP_MAX_CLIENTS = 100\\n\\n# pycurl 在 Windows Python 64 位环境下会崩溃\\n# https://github.com/pycurl/pycurl/issues/395\\n# libcurl 7.48.0 以后的版本修复了这个bug\\nif platform.architecture()[0] == '64bit' and platform.system() == 'Windows':\\n AsyncHTTPClient.configure(\\n 'tornado.simple_httpclient.SimpleAsyncHTTPClient')\\nelse:\\n try:\\n # curl_httpclient is faster than simple_httpclient\\n AsyncHTTPClient.configure(\\n 'tornado.curl_httpclient.CurlAsyncHTTPClient',\\n max_clients=ASYNC_HTTP_MAX_CLIENTS)\\n except ImportError:\\n AsyncHTTPClient.configure(\\n 'tornado.simple_httpclient.SimpleAsyncHTTPClient')\\n\\n\\nclass AsyncHTTPExecutor(object):\\n \\\"\\\"\\\"\\n 异步HTTP请求，可以并发访问\\n \\\"\\\"\\\"\\n\\n def __init__(self, task_queue, on_request,\\n on_success, on_error, on_queue_empty=None,\\n proxy_list=None,\\n max_workers=20, timeout=5, verbose=False):\\n self.fn_on_queue_empty = on_queue_empty\\n self.fn_on_request = on_request\\n self.fn_on_success = on_success\\n self.fn_on_error = on_error\\n self.task_queue = deque()\\n self.task_queue.extend(task_queue)\\n self.timeout = timeout\\n self.max_workers = max_workers\\n self.count = 0\\n self.verbose = verbose\\n self.start_time = None\\n self.last_time = None\\n self.proxy_list = proxy_list\\n self.proxy_index = 0\\n\\n def get_proxy(self):\\n \\\"\\\"\\\"\\n 获取下一个可用的代理\\n :return: proxy_host, proxy_port, proxy_username, proxy_password\\n \\\"\\\"\\\"\\n if self.proxy_list is None or len(self.proxy_list) <= 0:\\n return None, None, None, None\\n self.proxy_index += 1\\n self.proxy_index = self.proxy_index % len(self.proxy_list)\\n item = self.proxy_list[self.proxy_index]\\n if len(item) == 2:\\n return item[0], item[1], None, None\\n else:\\n return item[0], item[1], item[2], item[3]\\n\\n def get_next_task(self):\\n try:\\n item = self.task_queue.popleft()\\n except IndexError:\\n if self.fn_on_queue_empty is None:\\n return None\\n else:\\n item = self.fn_on_queue_empty(self.task_queue)\\n if isinstance(item, list) and len(item) > 0:\\n self.task_queue.extend(item)\\n item = self.task_queue.popleft()\\n return item\\n\\n @coroutine\\n def do_request(self, item):\\n self.count += 1\\n current_time = time.time()\\n # 每隔10秒输出一次\\n if current_time - self.last_time > 10:\\n self.last_time = current_time\\n speed = self.count / (current_time - self.start_time)\\n past_time = current_time - self.start_time\\n logger.info('items, speed, time: %s, %.1f/s, %.1fs' % (self.count, speed, past_time))\\n\\n base_headers = {\\n 'User-Agent': random_agent()\\n }\\n\\n url, method, headers, body, extra_params = self.fn_on_request(item)\\n if url is None:\\n return\\n\\n if headers is None:\\n headers = {}\\n\\n base_headers.update(headers)\\n headers = base_headers\\n\\n url = force_text(url)\\n body = '' if method == 'POST' else None\\n proxy_host, proxy_port, proxy_username, proxy_password = self.get_proxy()\\n if proxy_port is not None:\\n proxy_port = int(proxy_port)\\n\\n params_dict = {\\n 'decompress_response': True,\\n 'validate_cert': False,\\n 'proxy_host': proxy_host,\\n 'proxy_port': proxy_port,\\n 'proxy_username': proxy_username,\\n 'proxy_password': proxy_password,\\n 'connect_timeout': self.timeout,\\n 'request_timeout': self.timeout,\\n 'follow_redirects': False\\n }\\n # 允许再传其他参数\\n if isinstance(extra_params, dict):\\n params_dict.update(extra_params)\\n\\n try:\\n response = yield AsyncHTTPClient().fetch(\\n HTTPRequest(url=url,\\n method=method,\\n headers=headers,\\n body=body,\\n **params_dict))\\n try:\\n self.fn_on_success(url, item, method, response, self.task_queue)\\n except Exception as e:\\n logger.error(e)\\n except HTTPError as e:\\n if hasattr(e, 'response') and e.response:\\n try:\\n self.fn_on_success(url, item, method, e.response, self.task_queue)\\n except Exception as ex:\\n logger.error(ex)\\n else:\\n if self.verbose:\\n logger.error(e)\\n logger.error('%s, %s' % (method, item))\\n try:\\n self.fn_on_error(url, item, method, e, self.task_queue)\\n except Exception as e:\\n logger.error(e)\\n except Exception as e:\\n if self.verbose:\\n logger.error(e)\\n logger.error('%s, %s' % (method, item))\\n\\n try:\\n self.fn_on_error(url, item, method, e, self.task_queue)\\n except Exception as e:\\n logger.error(e)\\n\\n @coroutine\\n def fetch_url(self, i):\\n item = self.get_next_task()\\n while item is not None:\\n yield self.do_request(item)\\n item = self.get_next_task()\\n\\n @coroutine\\n def run(self, *args, **kwargs):\\n logger.info('executor start')\\n self.start_time = time.time()\\n self.last_time = self.start_time\\n # Start workers, then wait for the work queue to be empty.\\n # 会卡在这里，等待所有的 worker 都结束\\n yield [self.fetch_url(t) for t in range(self.max_workers)]\\n end_time = time.time()\\n logger.info('total count: %s' % self.count)\\n cost_time = end_time - self.start_time\\n if cost_time > 0:\\n speed = self.count / cost_time\\n else:\\n speed = 1\\n\\n logger.info('executor done, %.3f, %.1f/s' % (cost_time, speed))\\n\\n\\n@coroutine\\ndef async_request(method='GET', url=None, params=None,\\n headers=None, data=None, json=None,\\n on_response=None, on_error=None,\\n connect_timeout=DEFAULT_CONNECT_TIMEOUT,\\n request_timeout=DEFAULT_REQUEST_TIMEOUT,\\n follow_redirects=False,\\n proxy_host=None, proxy_port=None,\\n proxy_username=None, proxy_password=None):\\n try:\\n if url is None:\\n return\\n\\n method = method.upper()\\n\\n base_headers = {\\n 'User-Agent': random_agent(),\\n }\\n\\n if params is not None:\\n url_parsed = urlparse(url)\\n query = urlencode(params, doseq=True)\\n if url_parsed.query != '':\\n query = '%s&%s' % (query, url_parsed.query)\\n\\n url = urlunparse((url_parsed.scheme, url_parsed.netloc,\\n url_parsed.path, url_parsed.params,\\n query, url_parsed.fragment))\\n\\n if method == 'GET':\\n body = None\\n else:\\n if json is not None:\\n body = json_util.dumps(json)\\n base_headers['Content-Type'] = 'application/json;charset=utf-8'\\n elif isinstance(data, dict):\\n body = urlencode(data, doseq=True)\\n base_headers['Content-Type'] = 'application/x-www-form-urlencoded'\\n elif isinstance(data, list):\\n body = force_text(data)\\n else:\\n body = data\\n\\n if isinstance(headers, dict):\\n base_headers.update(headers)\\n\\n headers = base_headers\\n response = yield AsyncHTTPClient().fetch(\\n HTTPRequest(url=url,\\n headers=headers,\\n method=method,\\n body=body,\\n validate_cert=False,\\n decompress_response=True,\\n connect_timeout=connect_timeout,\\n request_timeout=request_timeout,\\n follow_redirects=follow_redirects,\\n proxy_host=proxy_host,\\n proxy_port=proxy_port,\\n proxy_username=proxy_username,\\n proxy_password=proxy_password))\\n\\n if on_response is not None:\\n ret = on_response(response)\\n if is_future(ret):\\n yield ret\\n\\n raise Return(response)\\n except Return as e:\\n # 上面有抛出 Return 的异常，这里捕获到以后，要重新抛出\\n # 否则返回的实际上就不是 response\\n raise e\\n except HTTPError as e:\\n if hasattr(e, 'response') and e.response:\\n if on_response is not None:\\n ret = on_response(e.response)\\n if is_future(ret):\\n yield ret\\n\\n raise Return(e.response)\\n else:\\n if on_error is not None:\\n ret = on_error(e)\\n if is_future(ret):\\n yield ret\\n raise Return(None)\\n except Exception as e:\\n if on_error is not None:\\n ret = on_error(e)\\n if is_future(ret):\\n yield ret\\n\\n raise Return(None)\\n\"\n },\n {\n \"alpha_fraction\": 0.561170220375061,\n \"alphanum_fraction\": 0.5828900933265686,\n \"avg_line_length\": 19.697248458862305,\n \"blob_id\": \"c31fffff0fafece1fe83e8819e16ca8fbbf280ea\",\n \"content_id\": \"dc0533f6a160197c0f984669d572cf8f2666e899\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2256,\n \"license_type\": \"permissive\",\n \"max_line_length\": 75,\n \"num_lines\": 109,\n \"path\": \"/mountains/datetime/converter.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2016/11/1\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport time\\nfrom datetime import datetime\\n\\n\\\"\\\"\\\"\\ndate string, datetime, time and timestamp converter\\n\\\"\\\"\\\"\\n\\n\\ndef str2datetime(date_str, format='%Y-%m-%d %H:%M:%S'):\\n try:\\n return datetime.strptime(date_str, format)\\n except:\\n return None\\n\\n\\ndef str2time(date_str, format='%Y-%m-%d %H:%M:%S'):\\n try:\\n return time.strptime(date_str, format)\\n except:\\n return None\\n\\n\\ndef str2timestamp(date_str, format='%Y-%m-%d %H:%M:%S', millisecond=False):\\n try:\\n ts = time.mktime(time.strptime(date_str, format))\\n if millisecond:\\n ts = ts * 1000\\n return int(ts)\\n except:\\n return None\\n\\n\\ndef datetime2str(dt, format='%Y-%m-%d %H:%M:%S'):\\n try:\\n return dt.strftime(format)\\n except:\\n return None\\n\\n\\ndef datetime2time(dt):\\n try:\\n return dt.timetuple()\\n except:\\n return None\\n\\n\\ndef datetime2timestamp(dt, millisecond=False):\\n try:\\n ts = time.mktime(dt.timetuple())\\n if millisecond:\\n ts = ts * 1000\\n return int(ts)\\n except:\\n return None\\n\\n\\ndef time2str(time_tuple, format='%Y-%m-%d %H:%M:%S'):\\n try:\\n return time.strftime(format, time_tuple)\\n except:\\n return None\\n\\n\\ndef time2datetime(time_tuple):\\n try:\\n return datetime(*time_tuple[0:6])\\n except:\\n return None\\n\\n\\ndef time2timestamp(time_tuple, millisecond=False):\\n try:\\n ts = time.mktime(time_tuple)\\n if millisecond:\\n ts = ts * 1000\\n return int(ts)\\n except:\\n return None\\n\\n\\ndef timestamp2datetime(ts, millisecond=False):\\n try:\\n if millisecond:\\n ts = int(ts / 1000.0)\\n return datetime.fromtimestamp(ts)\\n except:\\n return None\\n\\n\\ndef timestamp2time(ts, millisecond=False):\\n try:\\n if millisecond:\\n ts = int(ts / 1000.0)\\n return time.localtime(ts)\\n except:\\n return None\\n\\n\\ndef timestamp2str(ts, format='%Y-%m-%d %H:%M:%S', millisecond=False):\\n try:\\n if millisecond:\\n ts = int(ts / 1000.0)\\n return datetime.fromtimestamp(ts).strftime(format)\\n except:\\n return None\\n\"\n },\n {\n \"alpha_fraction\": 0.5537488460540771,\n \"alphanum_fraction\": 0.5709123611450195,\n \"avg_line_length\": 19.88679313659668,\n \"blob_id\": \"c62b1f752eb25a40847411f36e35210357fcff58\",\n \"content_id\": \"931d2ce00a32c6bb6f2f2ff3e2820c551cf869e3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1141,\n \"license_type\": \"permissive\",\n \"max_line_length\": 66,\n \"num_lines\": 53,\n \"path\": \"/mountains/database/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2019/07/12\\nfrom __future__ import unicode_literals, absolute_import\\nimport math\\n\\ntry:\\n import records\\nexcept Exception as e:\\n raise Exception('records is not installed')\\n\\n\\ndef batch_insert(db, sql, data, batch_size):\\n \\\"\\\"\\\"\\n :type db: records.Database\\n :param db:\\n :param sql:\\n :param data:\\n :param batch_size:\\n :return:\\n \\\"\\\"\\\"\\n\\n total = len(data)\\n if total <= 0:\\n return\\n\\n times = math.ceil(total * 1.0 / batch_size)\\n for i in range(times):\\n data_list = data[i * batch_size:(i + 1) * batch_size]\\n if len(data_list) > 0:\\n db.bulk_query(sql, data_list)\\n\\n\\ndef auto_batch_insert(db, sql, data, batch_size=500, force=False):\\n \\\"\\\"\\\"\\n 可以边添加数据，边自动批量插入数据\\n :type db: records.Database\\n :param db:\\n :param sql:\\n :param data:\\n :param batch_size:\\n :param force:\\n :return:\\n \\\"\\\"\\\"\\n total = len(data)\\n if total <= 0:\\n return data\\n\\n if total >= batch_size or force:\\n if len(data) > 0:\\n db.bulk_query(sql, data)\\n data = []\\n\\n return data\\n\"\n },\n {\n \"alpha_fraction\": 0.57485032081604,\n \"alphanum_fraction\": 0.5948103666305542,\n \"avg_line_length\": 24.049999237060547,\n \"blob_id\": \"fff96e2d940829bd21cb0283b524da4cf5201a14\",\n \"content_id\": \"8c9bc61501bef031b85743ae7d5b429e470b42f3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 513,\n \"license_type\": \"permissive\",\n \"max_line_length\": 62,\n \"num_lines\": 20,\n \"path\": \"/mountains/django/utils.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/04/06\\nfrom __future__ import unicode_literals, absolute_import\\n\\n\\ndef get_client_ip(request):\\n \\\"\\\"\\\"\\n 获取客户端的IP\\n :param request:\\n :return:\\n \\\"\\\"\\\"\\n x_forwarded_for = request.META.get('HTTP_X_FORWARDED_FOR')\\n x_real_ip = request.META.get('HTTP_X_REAL_IP')\\n if x_real_ip:\\n ip = x_real_ip\\n elif x_forwarded_for:\\n ip = x_forwarded_for.split(',')[0]\\n else:\\n ip = request.META.get('REMOTE_ADDR')\\n return ip\\n\"\n },\n {\n \"alpha_fraction\": 0.6835442781448364,\n \"alphanum_fraction\": 0.7120253443717957,\n \"avg_line_length\": 27.727272033691406,\n \"blob_id\": \"d3e47ca058edb6c3915f91a6e68736b3d9f20052\",\n \"content_id\": \"e302e5913e65ad8056658c69f26c7d3dfa098fdd\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 316,\n \"license_type\": \"permissive\",\n \"max_line_length\": 59,\n \"num_lines\": 11,\n \"path\": \"/convert_rst.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/05/20\\nfrom __future__ import unicode_literals, absolute_import\\nimport pypandoc\\n\\n# converts markdown to reStructured\\nz = pypandoc.convert('README.md', 'rst', format='markdown')\\n\\n# writes converted file\\nwith open('README.rst', 'w') as outfile:\\n outfile.write(z)\\n\"\n },\n {\n \"alpha_fraction\": 0.5649895071983337,\n \"alphanum_fraction\": 0.5706798434257507,\n \"avg_line_length\": 27.538461685180664,\n \"blob_id\": \"fe788e5ece350cbc0ded7d7273accec378cbd670\",\n \"content_id\": \"0dceb594ef556557ab61197d62acf9ff75422d11\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6740,\n \"license_type\": \"permissive\",\n \"max_line_length\": 83,\n \"num_lines\": 234,\n \"path\": \"/mountains/logging/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport logging\\nimport logging.config\\n\\nFORMAT_VERBOSE = \\\"[%(asctime)s] %(levelname)s [%(name)s:%(lineno)s] %(message)s\\\"\\n# Python的logging使用的是time的datefmt，并没有提供毫秒的datefmt\\n# http://blog.csdn.net/arthur503/article/details/49359241\\nDATE_FMT_VERBOSE = \\\"%Y-%m-%d %H:%M:%S\\\"\\n\\nFORMAT_SIMPLE = '%(levelname)s %(message)s'\\nDATE_FMT_SIMPLE = \\\"%H:%M:%S\\\"\\n\\nDEBUG = 'DEBUG'\\nINFO = 'INFO'\\nWARNING = 'WARNING'\\nERROR = 'ERROR'\\nCRITICAL = 'CRITICAL'\\n\\n\\ndef getLogger(name):\\n \\\"\\\"\\\"\\n 用于替代 logging.getLogger\\n :param name:\\n :return:\\n \\\"\\\"\\\"\\n return logging.getLogger(name)\\n\\n\\ndef Logger(name):\\n \\\"\\\"\\\"\\n 用于替代 logging.getLogger\\n :param name:\\n :return:\\n \\\"\\\"\\\"\\n return logging.getLogger(name)\\n\\n\\nclass BaseHandler(object):\\n def __init__(self, level=DEBUG, format=None, datefmt=None):\\n self.level = level\\n self.format = format\\n self.datefmt = datefmt\\n\\n if self.datefmt is None:\\n self.datefmt = DATE_FMT_VERBOSE\\n\\n if self.format is None:\\n self.format = FORMAT_VERBOSE\\n\\n self.handler_class = 'logging.handlers.StreamHandler'\\n\\n def get_formatter_name(self):\\n return self.__class__.__name__\\n\\n def get_formatter(self):\\n formatter = {\\n self.get_formatter_name(): {\\n 'format': self.format,\\n 'datefmt': self.datefmt,\\n }\\n }\\n\\n return formatter\\n\\n def get_handler(self):\\n handler = {\\n self.get_formatter_name(): {\\n 'level': self.level,\\n 'class': self.handler_class,\\n 'formatter': self.get_formatter_name()\\n }\\n }\\n\\n return handler\\n\\n\\nclass StreamHandler(BaseHandler):\\n def __init__(self, level=DEBUG, format=None, datefmt=None):\\n super(StreamHandler, self).__init__(level, format, datefmt)\\n self.handler_class = 'logging.StreamHandler'\\n\\n\\nclass ColorStreamHandler(BaseHandler):\\n def __init__(self, level=DEBUG, format=None, datefmt=None, log_colors=None):\\n super(ColorStreamHandler, self).__init__(level, format, datefmt)\\n self.format = '%(log_color)s' + self.format\\n self.handler_class = 'colorlog.StreamHandler'\\n try:\\n import colorlog\\n except:\\n raise Exception('colorlog not installed')\\n\\n if log_colors is None:\\n log_colors = {\\n 'DEBUG': 'white',\\n 'INFO': 'green',\\n 'WARNING': 'yellow',\\n 'ERROR': 'red',\\n # 'CRITICAL': 'red',\\n 'CRITICAL': 'red, bg_white',\\n }\\n self.log_colors = log_colors\\n\\n def get_formatter(self):\\n formatter = {\\n self.get_formatter_name(): {\\n '()': 'colorlog.ColoredFormatter',\\n 'format': self.format,\\n 'datefmt': self.datefmt,\\n 'log_colors': self.log_colors\\n }\\n }\\n\\n return formatter\\n\\n\\nclass FileHandler(BaseHandler):\\n def __init__(self, filename='log.txt', level=DEBUG, format=None, datefmt=None):\\n super(FileHandler, self).__init__(level, format, datefmt)\\n self.filename = filename\\n self.handler_class = 'logging.FileHandler'\\n\\n def get_handler(self):\\n handler = super(FileHandler, self).get_handler()\\n new_params = {\\n 'filename': self.filename\\n }\\n\\n handler[self.get_formatter_name()].update(new_params)\\n return handler\\n\\n\\nclass RotatingFileHandler(BaseHandler):\\n def __init__(self, filename='log.txt', max_bytes=1024 * 1024 * 10,\\n backup_count=10, delay=True, level=DEBUG,\\n format=None, datefmt=None):\\n super(RotatingFileHandler, self).__init__(level, format, datefmt)\\n self.filename = filename\\n self.handler_class = 'logging.handlers.RotatingFileHandler'\\n self.max_bytes = max_bytes\\n self.backup_count = backup_count\\n self.delay = delay\\n\\n def get_handler(self):\\n handler = super(RotatingFileHandler, self).get_handler()\\n new_params = {\\n 'filename': self.filename,\\n 'delay': self.delay,\\n 'maxBytes': self.max_bytes,\\n 'backupCount': self.backup_count\\n }\\n\\n handler[self.get_formatter_name()].update(new_params)\\n return handler\\n\\n\\nclass TimedRotatingFileHandler(BaseHandler):\\n def __init__(self, filename='log.txt', when='D', interval=1,\\n backup_count=10, delay=True, level=DEBUG,\\n format=None, datefmt=None):\\n \\\"\\\"\\\"\\n when 可以使用这些参数\\n 'S' Seconds\\n 'M' Minutes\\n 'H' Hours\\n 'D' Days\\n 'W0'-'W6' Weekday (0=Monday)\\n 'midnight' Roll over at midnight\\n :param filename:\\n :param when:\\n :param interval:\\n :param backup_count:\\n :param delay:\\n :param level:\\n :param format:\\n :param datefmt:\\n \\\"\\\"\\\"\\n super(TimedRotatingFileHandler, self).__init__(level, format, datefmt)\\n self.filename = filename\\n self.handler_class = 'logging.handlers.TimedRotatingFileHandler'\\n self.when = when\\n self.interval = interval\\n self.delay = delay\\n self.backup_count = backup_count\\n\\n def get_handler(self):\\n handler = super(TimedRotatingFileHandler, self).get_handler()\\n new_params = {\\n 'filename': self.filename,\\n 'delay': self.delay,\\n 'when': self.when,\\n 'interval': self.interval,\\n 'backupCount': self.backup_count\\n }\\n\\n handler[self.get_formatter_name()].update(new_params)\\n return handler\\n\\n\\ndef init_log(*handlers, **kwargs):\\n \\\"\\\"\\\"\\n :param handlers:\\n :return:\\n \\\"\\\"\\\"\\n disable_existing_loggers = kwargs.get('disable_existing_loggers', False)\\n\\n handlers_config = [t.get_handler() for t in handlers]\\n new_handlers_config = {}\\n for t in handlers_config:\\n new_handlers_config.update(t)\\n\\n formatter_config = [t.get_formatter() for t in handlers]\\n new_formatter_config = {}\\n for t in formatter_config:\\n new_formatter_config.update(t)\\n\\n handler_name_list = [t.get_formatter_name() for t in handlers]\\n dict_config = {\\n 'version': 1,\\n 'disable_existing_loggers': disable_existing_loggers,\\n 'formatters': new_formatter_config,\\n 'handlers': new_handlers_config,\\n 'loggers': {\\n '': {\\n 'handlers': handler_name_list,\\n 'level': 'DEBUG',\\n }\\n }\\n }\\n\\n logging.config.dictConfig(dict_config)\\n\"\n },\n {\n \"alpha_fraction\": 0.5018450021743774,\n \"alphanum_fraction\": 0.5633456110954285,\n \"avg_line_length\": 25.225807189941406,\n \"blob_id\": \"1d3472315a954583c0608aa9b10d41ad37998c2c\",\n \"content_id\": \"e6aeaac2d116b2f413c36179e4e73ab130fb4f74\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 821,\n \"license_type\": \"permissive\",\n \"max_line_length\": 85,\n \"num_lines\": 31,\n \"path\": \"/tests/test_json.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/01/22\\nfrom __future__ import unicode_literals, absolute_import\\nfrom mountains import json\\nimport unittest\\nimport uuid\\nfrom datetime import datetime\\n\\n\\nclass Test(unittest.TestCase):\\n def setUp(self):\\n pass\\n\\n def test_json_loads(self):\\n a = json.loads('{\\\"a\\\": 123, \\\"b\\\": \\\"456\\\", \\\"c\\\": \\\"中文\\\"}')\\n self.assertEqual(a['a'], 123)\\n self.assertEqual(a['b'], '456')\\n self.assertEqual(a['c'], '中文')\\n\\n def test_json_dumps(self):\\n data = {\\n 'a': uuid.uuid4(),\\n 'b': datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)\\n }\\n a = json.dumps(data)\\n a = json.loads(a)\\n self.assertEqual(a['b'], '2016-10-30 12:30:30')\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5317646861076355,\n \"alphanum_fraction\": 0.5490196347236633,\n \"avg_line_length\": 20.428571701049805,\n \"blob_id\": \"c969a966b6b42f8cdfccd895eb5f543bc527ffc6\",\n \"content_id\": \"b1ae833712798fbc34f9c38dec0b7e3d3b99a9f3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2566,\n \"license_type\": \"permissive\",\n \"max_line_length\": 68,\n \"num_lines\": 119,\n \"path\": \"/mountains/encoding/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\nimport re\\nfrom ..base import text_type, string_types\\nimport string\\nfrom base64 import b64decode, b32decode\\n\\n_UTF8_TYPES = (bytes, type(None))\\n\\n_TO_UNICODE_TYPES = (text_type, type(None))\\n\\n\\ndef utf8(value, encoding=None):\\n \\\"\\\"\\\"Converts a string argument to a byte string.\\n \\\"\\\"\\\"\\n if isinstance(value, _UTF8_TYPES):\\n return value\\n if not isinstance(value, text_type):\\n raise TypeError(\\n \\\"Expected bytes, unicode, or None; got %r\\\" % type(value)\\n )\\n\\n if encoding is not None:\\n return value.encode(encoding)\\n\\n try:\\n return value.encode('utf-8')\\n except:\\n return value.encode('gbk')\\n\\n\\ndef to_unicode(value, encoding=None):\\n \\\"\\\"\\\"Converts a string argument to a unicode string.\\n \\\"\\\"\\\"\\n if isinstance(value, text_type):\\n return value\\n elif isinstance(value, type(None)):\\n return text_type(value)\\n\\n if not isinstance(value, bytes):\\n raise TypeError(\\n \\\"Expected bytes, unicode, or None; got %r\\\" % type(value)\\n )\\n\\n if encoding is not None:\\n return value.decode(encoding)\\n else:\\n try:\\n value = value.decode('utf-8')\\n except:\\n try:\\n value = value.decode('gbk')\\n except:\\n pass\\n\\n return value\\n\\n\\ndef force_text(s, encoding=None):\\n \\\"\\\"\\\"\\n 强制转成 Unicode\\n \\\"\\\"\\\"\\n\\n return to_unicode(s, encoding)\\n\\n\\ndef force_bytes(s, encoding=None):\\n \\\"\\\"\\\"\\n 强制转成 bytes\\n \\\"\\\"\\\"\\n\\n return utf8(s, encoding)\\n\\n\\ndef is_base64(s, is_printable=True):\\n if len(s) % 4 != 0:\\n return False\\n\\n b64rex = re.compile('^[A-Za-z0-9+/]+[=]{0,2}$', re.MULTILINE)\\n if not b64rex.match(s):\\n return False\\n\\n if is_printable:\\n try:\\n a = b64decode(s.encode()).decode()\\n for c in a:\\n if c not in string.printable:\\n return False\\n except:\\n return False\\n return True\\n\\n\\ndef is_base32(s, is_printable=True):\\n if len(s) % 8 != 0:\\n return False\\n\\n rex = re.compile('^[A-Z2-7]+[=]{0,7}$', re.MULTILINE)\\n if not rex.match(s):\\n return False\\n\\n if is_printable:\\n try:\\n a = b32decode(s.encode()).decode()\\n for c in a:\\n if c not in string.printable:\\n return False\\n except:\\n return False\\n return True\\n\\n\\ndef main():\\n pass\\n\\n\\nif __name__ == '__main__':\\n main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5414238572120667,\n \"alphanum_fraction\": 0.5459842681884766,\n \"avg_line_length\": 22.355030059814453,\n \"blob_id\": \"8daa1a4f4b0febb3c82fc5fa6ccff07846c82da9\",\n \"content_id\": \"a48c219fde4023c589bf844ace8f4d76ec10e149\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4221,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 169,\n \"path\": \"/mountains/file/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport os\\nimport shutil\\nfrom collections import deque\\n\\nfrom .. import json\\nfrom ..datetime.converter import timestamp2datetime\\nfrom ..encoding import force_text, force_bytes\\n\\n\\ndef read_dict(file_name, clear_none=False, encoding='utf-8'):\\n \\\"\\\"\\\"\\n 读取字典文件\\n :param encoding:\\n :param clear_none:\\n :param file_name:\\n :return:\\n \\\"\\\"\\\"\\n with open(file_name, 'rb') as f:\\n data = f.read()\\n\\n if encoding is not None:\\n data = data.decode(encoding)\\n\\n line_list = data.splitlines()\\n data = []\\n i = 0\\n for line in line_list:\\n i += 1\\n try:\\n line = force_text(line).strip()\\n data.append(line)\\n except:\\n print('read error line %s' % i)\\n if clear_none:\\n data = [t for t in data if t != '']\\n data = deque(data)\\n return data\\n\\n\\ndef write_bytes_file(file_name, data):\\n with open(file_name, 'wb') as f:\\n f.write(force_bytes(data))\\n\\n\\ndef read_bytes_file(file_name):\\n with open(file_name, 'rb') as f:\\n return f.read()\\n\\n\\ndef write_file(file_name, data):\\n \\\"\\\"\\\"\\n 写文本文件\\n :param file_name:\\n :param data:\\n :return:\\n \\\"\\\"\\\"\\n with open(file_name, 'w') as f:\\n f.write(data)\\n\\n\\ndef read_file(file_name, encoding='utf-8'):\\n \\\"\\\"\\\"\\n 读文本文件\\n :param encoding:\\n :param file_name:\\n :return:\\n \\\"\\\"\\\"\\n with open(file_name, 'rb') as f:\\n data = f.read()\\n\\n if encoding is not None:\\n data = data.decode(encoding)\\n\\n return data\\n\\n\\ndef read_json(file_name):\\n try:\\n return json.loads(read_bytes_file(file_name))\\n except:\\n return None\\n\\n\\ndef write_json(file_name, data, indent=None,\\n ensure_ascii=True, sort_keys=False, **kwargs):\\n with open(file_name, 'wb') as f:\\n try:\\n data = json.dumps(data, indent=indent,\\n ensure_ascii=ensure_ascii,\\n sort_keys=sort_keys, **kwargs)\\n f.write(force_bytes(data))\\n return True\\n except:\\n return False\\n\\n\\ndef get_file_size(file_path):\\n \\\"\\\"\\\"\\n 获取文件大小，返回的是字节\\n :param file_path:\\n :return:\\n \\\"\\\"\\\"\\n return os.path.getsize(file_path)\\n\\n\\ndef get_file_access_time(file_path):\\n \\\"\\\"\\\"\\n 获取文件访问时间，返回 datetime 类型\\n :param file_path:\\n :return:\\n \\\"\\\"\\\"\\n return timestamp2datetime(os.path.getatime(file_path))\\n\\n\\ndef get_file_create_time(file_path):\\n \\\"\\\"\\\"\\n 获取文件创建时间，返回 datetime 类型\\n :param file_path:\\n :return:\\n \\\"\\\"\\\"\\n return timestamp2datetime(os.path.getctime(file_path))\\n\\n\\ndef get_file_modify_time(file_path):\\n \\\"\\\"\\\"\\n 获取文件修改时间，返回 datetime 类型\\n :param file_path:\\n :return:\\n \\\"\\\"\\\"\\n return timestamp2datetime(os.path.getmtime(file_path))\\n\\n\\ndef copy_files(src_path, dst_path):\\n \\\"\\\"\\\"\\n :param src_path:\\n :param dst_path:\\n :return:\\n \\\"\\\"\\\"\\n abs_src_path = os.path.abspath(src_path)\\n abs_dst_path = os.path.abspath(dst_path)\\n # 遍历src_path目录下的所有文件\\n for root, dirs, files in os.walk(src_path):\\n try:\\n for f in files:\\n src_file_p = os.path.abspath(os.path.join(root, f))\\n # 目标文件的完整路径\\n dst_file_p = os.path.abspath(os.path.join(\\n abs_dst_path, src_file_p[len(abs_src_path) + 1:]))\\n # 判断目标文件是否已存在，已存在则改名\\n if os.path.exists(dst_file_p):\\n continue\\n\\n try:\\n # 判断目标文件所在的文件夹是否存在，不存在则递归创建文件夹\\n dst_p = os.path.dirname(dst_file_p)\\n if not os.path.exists(dst_p):\\n os.makedirs(dst_p)\\n\\n # 移动文件\\n shutil.copy2(src_file_p, dst_file_p)\\n except Exception as e:\\n print('move file error: {}'.format(e))\\n\\n except Exception as ex:\\n print('error: {}'.format(ex))\\n\"\n },\n {\n \"alpha_fraction\": 0.5979809761047363,\n \"alphanum_fraction\": 0.6110451221466064,\n \"avg_line_length\": 25.73015785217285,\n \"blob_id\": \"820f0c8022f19e57f3837ef03f85483d1d6b8314\",\n \"content_id\": \"f0ab8cf70d3cca7c7c25f2f2e71a3d51734aa6fb\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1766,\n \"license_type\": \"permissive\",\n \"max_line_length\": 82,\n \"num_lines\": 63,\n \"path\": \"/mountains/django/api.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/10/13\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport logging\\n\\nfrom .. import json\\n\\ntry:\\n from django.http import HttpResponse\\nexcept:\\n class HttpResponse(object):\\n def __init__(*args, **kwargs):\\n raise Exception('django is not installed')\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\ndef http_response_json(dict_data):\\n \\\"\\\"\\\"\\n 返回json数据\\n :param dict_data:\\n :return:\\n \\\"\\\"\\\"\\n\\n return HttpResponse(json.dumps(dict_data),\\n content_type=\\\"application/json; charset=utf-8\\\")\\n\\n\\nclass APIStatusCode(object):\\n SUCCESS = 200 # 成功\\n FAIL = 400 # 客户端的错误, 例如请求信息不正确\\n ERROR = 500 # 服务端的错误, 例如出现异常\\n LOGIN_REQUIRED = 401 # 需要登录才能访问\\n\\n\\nclass APIHandler(object):\\n @classmethod\\n def return_json(cls, code, data, msg):\\n try:\\n return http_response_json({\\n 'code': code, 'data': data, 'msg': msg})\\n except Exception as e:\\n logger.error(e)\\n return http_response_json({\\n 'code': APIStatusCode.ERROR, 'data': None,\\n 'msg': msg})\\n\\n @classmethod\\n def success(cls, data=None, msg='', code=APIStatusCode.SUCCESS):\\n return cls.return_json(code, data, msg)\\n\\n @classmethod\\n def fail(cls, data=None, msg='', code=APIStatusCode.FAIL):\\n return cls.return_json(code, data, msg)\\n\\n @classmethod\\n def login_required(cls, data=None, msg='', code=APIStatusCode.LOGIN_REQUIRED):\\n return cls.return_json(code, data, msg)\\n\\n @classmethod\\n def error(cls, data=None, msg='', code=APIStatusCode.ERROR):\\n return cls.return_json(code, data, msg)\\n\"\n },\n {\n \"alpha_fraction\": 0.6355576515197754,\n \"alphanum_fraction\": 0.6462902426719666,\n \"avg_line_length\": 26.126583099365234,\n \"blob_id\": \"8d4300749c72427726712057e9c9d17963b92fcc\",\n \"content_id\": \"cd6aa11fae37a84d7792774b5382562ce8defa0c\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2159,\n \"license_type\": \"permissive\",\n \"max_line_length\": 72,\n \"num_lines\": 79,\n \"path\": \"/mountains/base.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/29\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport os\\nimport sys\\nimport types\\n\\nPY2 = sys.version_info[0] == 2\\nPY3 = sys.version_info[0] == 3\\nPYPY = True if getattr(sys, 'pypy_version_info', None) else False\\n\\nif PY3:\\n string_types = str,\\n integer_types = int,\\n class_types = type,\\n text_type = str\\n binary_type = bytes\\n long_type = int\\n from queue import Queue\\n from io import BytesIO, StringIO\\n from urllib.parse import urlencode, quote, \\\\\\n quote_plus, urlparse, urlunparse\\n\\n MAXSIZE = sys.maxsize\\nelse:\\n string_types = basestring,\\n integer_types = (int, long)\\n class_types = (type, types.ClassType)\\n text_type = unicode\\n binary_type = str\\n long_type = long\\n from cStringIO import StringIO\\n from io import BytesIO\\n from urllib import urlencode, quote, quote_plus\\n from urlparse import urlparse, urlunparse\\n from Queue import Queue\\n\\n# 当前项目所在路径\\n__base_path = os.path.dirname(os.path.abspath(__file__))\\n\\n\\ndef iteritems(obj, **kwargs):\\n \\\"\\\"\\\"Use this only if compatibility with Python versions before 2.7 is\\n required. Otherwise, prefer viewitems().\\n \\\"\\\"\\\"\\n func = getattr(obj, \\\"iteritems\\\", None)\\n if not func:\\n func = obj.items\\n return func(**kwargs)\\n\\n\\ndef iterkeys(obj, **kwargs):\\n \\\"\\\"\\\"Use this only if compatibility with Python versions before 2.7 is\\n required. Otherwise, prefer viewkeys().\\n \\\"\\\"\\\"\\n func = getattr(obj, \\\"iterkeys\\\", None)\\n if not func:\\n func = obj.keys\\n return func(**kwargs)\\n\\n\\ndef itervalues(obj, **kwargs):\\n \\\"\\\"\\\"Use this only if compatibility with Python versions before 2.7 is\\n required. Otherwise, prefer viewvalues().\\n \\\"\\\"\\\"\\n func = getattr(obj, \\\"itervalues\\\", None)\\n if not func:\\n func = obj.values\\n return func(**kwargs)\\n\\n\\n__all__ = [\\n 'PY2', 'PY3', 'PYPY', 'urlencode', 'quote', 'quote_plus',\\n 'urlparse', 'urlunparse', 'StringIO',\\n 'string_types', 'integer_types', 'class_types', 'text_type',\\n 'binary_type', 'long_type', 'BytesIO', '__base_path', 'Queue',\\n 'iteritems', 'iterkeys', 'itervalues'\\n]\\n\"\n },\n {\n \"alpha_fraction\": 0.6066433787345886,\n \"alphanum_fraction\": 0.632867157459259,\n \"avg_line_length\": 34.75,\n \"blob_id\": \"7ae678f54c914e77652df6e881fd0200f0a2f668\",\n \"content_id\": \"2814eb86f389974bc85d74368fa892bd608eea4b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 572,\n \"license_type\": \"permissive\",\n \"max_line_length\": 76,\n \"num_lines\": 16,\n \"path\": \"/mountains/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/7/26\\nfrom __future__ import unicode_literals, absolute_import\\n\\nfrom .base import PY2, PY3, PYPY, string_types, integer_types, \\\\\\n class_types, text_type, binary_type, long_type, BytesIO, StringIO\\nfrom .encoding import force_text, force_bytes\\n\\n__author__ = \\\"restran <grestran@gmail.com>\\\"\\n__version__ = \\\"0.8.7\\\"\\n\\n__all__ = [\\n '__author__', '__version__', 'PY2', 'PY3', 'PYPY',\\n 'string_types', 'integer_types', 'class_types', 'text_type', 'StringIO',\\n 'binary_type', 'long_type', 'BytesIO', 'force_text', 'force_bytes',\\n]\\n\"\n },\n {\n \"alpha_fraction\": 0.6120996475219727,\n \"alphanum_fraction\": 0.6316726207733154,\n \"avg_line_length\": 20.615385055541992,\n \"blob_id\": \"0f2f9bfbb949bfb63da9410fdbc82e001f0c82e0\",\n \"content_id\": \"ae5fe1a41f5e578d81874874c8352f854ff1e265\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 562,\n \"license_type\": \"permissive\",\n \"max_line_length\": 56,\n \"num_lines\": 26,\n \"path\": \"/tests/test_file.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/11/13\\nfrom __future__ import unicode_literals, absolute_import\\nfrom mountains import file\\nimport unittest\\nimport uuid\\nfrom datetime import datetime\\n\\n\\nclass Test(unittest.TestCase):\\n def setUp(self):\\n pass\\n\\n # def test_json_loads(self):\\n # file.read_json('data/test.json')\\n\\n def test_json_dumps(self):\\n pass\\n\\n # def test_file_size(self):\\n # size = file.get_file_size('data/test.txt')\\n # self.assertEqual(size, 57)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.4666211009025574,\n \"alphanum_fraction\": 0.5299612879753113,\n \"avg_line_length\": 24.36994171142578,\n \"blob_id\": \"ad957af0dedc4ec5859161e44b58e3c18707483f\",\n \"content_id\": \"c39fe18287677f7f48e1ddb918c69cd84be6515a\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4533,\n \"license_type\": \"permissive\",\n \"max_line_length\": 85,\n \"num_lines\": 173,\n \"path\": \"/mountains/gis/evil_transform.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2019/04/08\\nfrom __future__ import unicode_literals, absolute_import\\n\\n\\\"\\\"\\\"\\nOriginal from https://github.com/googollee/eviltransform\\n地球坐标（WGS-84）\\n火星坐标（GCJ－2）\\nGCJ-02坐标用在谷歌地图，高德地图、腾讯地图等中国地图服务。\\n百度地图要在GCJ-02基础上再加转换\\n\\\"\\\"\\\"\\n\\nimport math\\n\\n__all__ = ['wgs2gcj', 'gcj2wgs', 'gcj2wgs_exact',\\n 'distance', 'gcj2bd', 'bd2gcj', 'wgs2bd', 'bd2wgs']\\n\\nearth_r = 6378137.0\\n\\n\\ndef out_of_china(lat, lng):\\n return not (72.004 <= lng <= 137.8347 and 0.8293 <= lat <= 55.8271)\\n\\n\\ndef transform(x, y):\\n xy = x * y\\n abs_x = math.sqrt(abs(x))\\n x_pi = x * math.pi\\n y_pi = y * math.pi\\n d = 20.0 * math.sin(6.0 * x_pi) + 20.0 * math.sin(2.0 * x_pi)\\n\\n lat = d\\n lng = d\\n\\n lat += 20.0 * math.sin(y_pi) + 40.0 * math.sin(y_pi / 3.0)\\n lng += 20.0 * math.sin(x_pi) + 40.0 * math.sin(x_pi / 3.0)\\n\\n lat += 160.0 * math.sin(y_pi / 12.0) + 320 * math.sin(y_pi / 30.0)\\n lng += 150.0 * math.sin(x_pi / 12.0) + 300.0 * math.sin(x_pi / 30.0)\\n\\n lat *= 2.0 / 3.0\\n lng *= 2.0 / 3.0\\n\\n lat += -100.0 + 2.0 * x + 3.0 * y + 0.2 * y * y + 0.1 * xy + 0.2 * abs_x\\n lng += 300.0 + x + 2.0 * y + 0.1 * x * x + 0.1 * xy + 0.1 * abs_x\\n\\n return lat, lng\\n\\n\\ndef delta(lat, lng):\\n ee = 0.00669342162296594323\\n d_lat, d_lng = transform(lng - 105.0, lat - 35.0)\\n rad_lat = lat / 180.0 * math.pi\\n magic = math.sin(rad_lat)\\n magic = 1 - ee * magic * magic\\n sqrt_magic = math.sqrt(magic)\\n d_lat = (d_lat * 180.0) / ((earth_r * (1 - ee)) / (magic * sqrt_magic) * math.pi)\\n d_lng = (d_lng * 180.0) / (earth_r / sqrt_magic * math.cos(rad_lat) * math.pi)\\n return d_lat, d_lng\\n\\n\\ndef wgs2gcj(wgs_lat, wgs_lng):\\n if out_of_china(wgs_lat, wgs_lng):\\n return wgs_lat, wgs_lng\\n else:\\n d_lat, d_lng = delta(wgs_lat, wgs_lng)\\n return wgs_lat + d_lat, wgs_lng + d_lng\\n\\n\\ndef gcj2wgs(gcj_lat, gcj_lng):\\n if out_of_china(gcj_lat, gcj_lng):\\n return gcj_lat, gcj_lng\\n else:\\n d_lat, d_lng = delta(gcj_lat, gcj_lng)\\n return gcj_lat - d_lat, gcj_lng - d_lng\\n\\n\\ndef gcj2wgs_exact(gcj_lat, gcj_lng):\\n init_delta = 0.01\\n threshold = 0.000001\\n d_lat = d_lng = init_delta\\n m_lat = gcj_lat - d_lat\\n m_lng = gcj_lng - d_lng\\n p_lat = gcj_lat + d_lat\\n p_lng = gcj_lng + d_lng\\n for i in range(30):\\n wgs_lat = (m_lat + p_lat) / 2\\n wgs_lng = (m_lng + p_lng) / 2\\n tmp_lat, tmp_lng = wgs2gcj(wgs_lat, wgs_lng)\\n d_lat = tmp_lat - gcj_lat\\n d_lng = tmp_lng - gcj_lng\\n if abs(d_lat) < threshold and abs(d_lng) < threshold:\\n return wgs_lat, wgs_lng\\n if d_lat > 0:\\n p_lat = wgs_lat\\n else:\\n m_lat = wgs_lat\\n if d_lng > 0:\\n p_lng = wgs_lng\\n else:\\n m_lng = wgs_lng\\n return wgs_lat, wgs_lng\\n\\n\\ndef distance(lat_a, lng_a, lat_b, lng_b):\\n \\\"\\\"\\\"\\n 计算两个经纬度之间的距离\\n :param lat_a:\\n :param lng_a:\\n :param lat_b:\\n :param lng_b:\\n :return:\\n \\\"\\\"\\\"\\n pi180 = math.pi / 180\\n arc_lat_a = lat_a * pi180\\n arc_lat_b = lat_b * pi180\\n x = (math.cos(arc_lat_a) * math.cos(arc_lat_b) *\\n math.cos((lng_a - lng_b) * pi180))\\n y = math.sin(arc_lat_a) * math.sin(arc_lat_b)\\n s = x + y\\n if s > 1:\\n s = 1\\n if s < -1:\\n s = -1\\n alpha = math.acos(s)\\n d = alpha * earth_r\\n return d\\n\\n\\ndef gcj2bd(gcj_lat, gcj_lng):\\n \\\"\\\"\\\"\\n GCJ－2转百度\\n :param gcj_lat:\\n :param gcj_lng:\\n :return:\\n \\\"\\\"\\\"\\n if out_of_china(gcj_lat, gcj_lng):\\n return gcj_lat, gcj_lng\\n\\n x = gcj_lng\\n y = gcj_lat\\n z = math.hypot(x, y) + 0.00002 * math.sin(y * math.pi)\\n theta = math.atan2(y, x) + 0.000003 * math.cos(x * math.pi)\\n bd_lng = z * math.cos(theta) + 0.0065\\n bd_lat = z * math.sin(theta) + 0.006\\n return bd_lat, bd_lng\\n\\n\\ndef bd2gcj(bd_lat, bd_lng):\\n \\\"\\\"\\\"\\n 百度转GCJ－2\\n :param bd_lat:\\n :param bd_lng:\\n :return:\\n \\\"\\\"\\\"\\n if out_of_china(bd_lat, bd_lng):\\n return bd_lat, bd_lng\\n\\n x = bd_lng - 0.0065\\n y = bd_lat - 0.006\\n z = math.hypot(x, y) - 0.00002 * math.sin(y * math.pi)\\n theta = math.atan2(y, x) - 0.000003 * math.cos(x * math.pi)\\n gcj_lng = z * math.cos(theta)\\n gcj_lat = z * math.sin(theta)\\n return gcj_lat, gcj_lng\\n\\n\\ndef wgs2bd(wgs_lat, wgs_lng):\\n return gcj2bd(*wgs2gcj(wgs_lat, wgs_lng))\\n\\n\\ndef bd2wgs(bd_lat, bd_lng):\\n return gcj2wgs(*bd2gcj(bd_lat, bd_lng))\\n\"\n },\n {\n \"alpha_fraction\": 0.5761024355888367,\n \"alphanum_fraction\": 0.6187766790390015,\n \"avg_line_length\": 24.10714340209961,\n \"blob_id\": \"ba0248d322e6f6296038baa0d7efc77177389279\",\n \"content_id\": \"800dad1ed55cb9e5b04a6a0bf16b4c57cd53c5f1\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 703,\n \"license_type\": \"permissive\",\n \"max_line_length\": 61,\n \"num_lines\": 28,\n \"path\": \"/tests/test_utils.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/10/13\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport logging\\nimport unittest\\n\\nfrom mountains.utils import any_in, any_none\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass UtilsTest(unittest.TestCase):\\n def setUp(self):\\n pass\\n\\n def test_any_none(self):\\n self.assertEqual(any_none(1, 2, 3, None), True)\\n self.assertEqual(any_none(1, 2, 3), False)\\n\\n def test_any_in(self):\\n self.assertEqual(any_in('123abc123', 'a', 'b'), True)\\n self.assertEqual(any_in('123ab123', 'a', 'c'), True)\\n self.assertEqual(any_in('123', 'a', 'b', 'c'), False)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.6238806247711182,\n \"alphanum_fraction\": 0.6537313461303711,\n \"avg_line_length\": 26.91666603088379,\n \"blob_id\": \"08ee1773f89f0c51bb5c86160c4bd82db439eaef\",\n \"content_id\": \"d7faa529aa62a5509b93fa453b5f78a8ff8bac58\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 335,\n \"license_type\": \"permissive\",\n \"max_line_length\": 56,\n \"num_lines\": 12,\n \"path\": \"/mountains/utils/converter.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/01/22\\nfrom __future__ import unicode_literals, absolute_import\\n\\n\\ndef str2int(number_str, default_value=None):\\n if number_str is None or number_str == '':\\n return default_value\\n try:\\n return int(number_str)\\n except Exception as e:\\n return default_value\\n\"\n },\n {\n \"alpha_fraction\": 0.521558403968811,\n \"alphanum_fraction\": 0.5257156491279602,\n \"avg_line_length\": 30.181482315063477,\n \"blob_id\": \"57d064b7af640d693233b156f90d5b3815e8ecf3\",\n \"content_id\": \"018f663e707c55ff6322a1176b2aca92e5266a81\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8865,\n \"license_type\": \"permissive\",\n \"max_line_length\": 92,\n \"num_lines\": 270,\n \"path\": \"/mountains/ssh/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/6/5\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport logging\\nimport time\\nfrom ..encoding import force_text\\n\\ntry:\\n import paramiko\\nexcept ImportError:\\n raise Exception('paramiko is not installed')\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass SSHClient(object):\\n def __init__(self, host, port, username, password=None, key_file=None,\\n key_pass=None, show_output=False, manual_connect=False, timeout=10):\\n \\\"\\\"\\\"\\n\\n :param host:\\n :param port:\\n :param username:\\n :param password:\\n :param key_file:\\n :param key_pass:\\n :param show_output: 是否显示命令的执行结果\\n :param manual_connect:\\n :param timeout:\\n \\\"\\\"\\\"\\n self.is_root = False\\n self.host = host\\n self.port = int(port)\\n self.username = username\\n self.password = password\\n self.ssh_session = paramiko.SSHClient()\\n self.ssh_session.load_system_host_keys()\\n self.key_file = key_file\\n self.key_pass = key_pass\\n self.ssh_session.set_missing_host_key_policy(paramiko.AutoAddPolicy())\\n self.private_key = None\\n self.sftp = None\\n self.show_output = show_output\\n self.timeout = timeout\\n if not manual_connect:\\n use_key = self.key_file is not None\\n self.ssh_connect(password, use_key)\\n\\n def ssh_connect(self, password=None, use_key=False):\\n if not use_key:\\n if password is None:\\n password = self.password\\n\\n self.ssh_session.connect(hostname=self.host, port=self.port,\\n username=self.username, password=password,\\n look_for_keys=False, timeout=self.timeout)\\n else:\\n self.private_key = paramiko.RSAKey.from_private_key_file(\\n self.key_file, self.key_pass)\\n self.ssh_session.connect(hostname=self.host, port=self.port,\\n username=self.username, pkey=self.private_key,\\n timeout=self.timeout)\\n\\n def get_sftp(self, refresh=False):\\n if self.sftp is None or refresh:\\n self.sftp = paramiko.SFTPClient.from_transport(self.ssh_session.get_transport())\\n\\n return self.sftp\\n\\n def dispose(self):\\n try:\\n if self.sftp is not None:\\n self.sftp.close()\\n except:\\n pass\\n\\n try:\\n if self.ssh_session is not None:\\n self.ssh_session.close()\\n except:\\n pass\\n\\n @classmethod\\n def clean_ssh_line_output(cls, line):\\n line = line.strip()\\n split_list = [t for t in line.split(' ') if t != '']\\n return split_list\\n\\n def run(self, cmd):\\n stdin, stdout, stderr = self.ssh_session.exec_command(cmd)\\n # stdin这个是输入的命令，stdout这个是命令的正确返回，stderr这个是命令的错误返回\\n out = stdout.readlines()\\n err = stderr.readlines()\\n result = []\\n if isinstance(out, list):\\n result.extend(out)\\n if isinstance(err, list):\\n result.extend(err)\\n\\n if self.show_output:\\n logger.info(''.join(result))\\n else:\\n logger.debug(''.join(result))\\n return ''.join(result).strip()\\n\\n def interactive_run(self, cmd):\\n stdin, stdout, stderr = self.ssh_session.exec_command(cmd)\\n return stdin, stdout, stderr\\n\\n def run_expect_command(self, cmd, expect_end=None, timeout=3, wait_seconds=2):\\n \\\"\\\"\\\"\\n 执行 shell 命令并获取返回结果\\n :param timeout:\\n :param wait_seconds:\\n :param cmd:\\n :param expect_end:\\n :return:\\n \\\"\\\"\\\"\\n shell = self.ssh_session.invoke_shell()\\n last_time = int(time.time())\\n\\n if not cmd.endswith('\\\\n'):\\n cmd += '\\\\n'\\n\\n def receive():\\n buff = ''\\n if expect_end is None:\\n buff = shell.recv(9999)\\n else:\\n while not buff.endswith(expect_end):\\n resp = shell.recv(9999)\\n buff += force_text(resp)\\n now = int(time.time())\\n\\n if now - last_time > timeout:\\n break\\n\\n buff = force_text(buff)\\n if self.show_output:\\n logger.info(buff)\\n return buff\\n if self.show_output:\\n logger.info(cmd)\\n shell.send(cmd)\\n time.sleep(wait_seconds)\\n return receive()\\n\\n def run_nohup(self, cmd, working_dir=None):\\n \\\"\\\"\\\"\\n 使用重定向输出，正常输出和错误信息都不显示，不会创建 nuhup.out，>/dev/null 2>&1\\n :param cmd:\\n :param working_dir: 当前的工作目录，如果没有 home 目录，会因为一些原因导致运行失败，比如没有无法创建 nohup.out\\n :return:\\n \\\"\\\"\\\"\\n cmd = 'nohup %s >/dev/null 2>&1 &\\\\n\\\\n' % cmd\\n if working_dir is not None:\\n cmd = 'cd {}; {}'.format(working_dir, cmd)\\n\\n self.run_expect_command(cmd)\\n\\n def check_root(self):\\n result = self.run('id')\\n return \\\"uid=0\\\" in result, result\\n\\n def check_sudo(self):\\n \\\"\\\"\\\"\\n TODO 有问题，应该检查用户组\\n :return:\\n \\\"\\\"\\\"\\n stdin, stdout, stderr = self.ssh_session.exec_command('sudo whoami')\\n stdin.write(\\\"%s\\\\n\\\" % self.password)\\n stdin.write(\\\"\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\")\\n stdout.read()\\n error_message = stderr.read()[:-1]\\n if b\\\"not in the sudoers file\\\" in error_message:\\n logger.info('当前用户不在 sudo 组')\\n return False\\n else:\\n logger.info(error_message)\\n return True\\n\\n def write_ssh_key(self, pub_key):\\n logger.info('写 SSH 公钥')\\n try:\\n id_rsa = open(pub_key, 'r').read().rstrip('\\\\n')\\n self.run(\\\"mkdir -p ~/.ssh\\\")\\n time.sleep(1)\\n self.run(\\\"chmod 700 ~/.ssh\\\")\\n cmd = \\\"\\\"\\\"echo \\\"{}\\\" >> ~/.ssh/authorized_keys\\\"\\\"\\\".format(id_rsa)\\n self.run(cmd)\\n cmd = \\\"chmod 600 ~/.ssh/authorized_keys\\\"\\n self.run(cmd)\\n return True\\n except Exception as e:\\n logger.error(e)\\n return False\\n\\n def change_password(self, new_password):\\n \\\"\\\"\\\"\\n 一句话修改密码，但是只有 root 才有权限 echo username:new_password | chpasswd\\n :param new_password:\\n :return:\\n \\\"\\\"\\\"\\n is_root = self.check_root()\\n if is_root[0]:\\n self.is_root = True\\n logger.warning(\\\"[+] Root user detected!\\\")\\n else:\\n self.is_root = False\\n logger.warning(\\\"[+] Not a root user! (%s)\\\" % is_root[1])\\n\\n stdin, stdout, stderr = self.interactive_run('passwd')\\n stdin.write(\\\"%s\\\\n\\\" % self.password)\\n stdin.write(\\\"%s\\\\n\\\" % new_password)\\n stdin.write(\\\"%s\\\\n\\\" % new_password)\\n # 通过不停的回车，跳过密码输入错误的重试，避免卡在 stdout.read()\\n stdin.write(\\\"\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\")\\n stdout.read()\\n error_message = stderr.read()[:-1]\\n if b'success' in error_message:\\n self.password = new_password\\n logger.info('密码修改成功')\\n return True\\n elif b'unchanged' in error_message:\\n logger.info('密码未修改')\\n self.password = new_password\\n logger.info(error_message)\\n return True\\n elif b'choose a longer password' in error_message:\\n logger.info('密码长度不符合要求')\\n return False\\n else:\\n logger.info(error_message)\\n logger.info('密码修改失败')\\n return False\\n\\n def put(self, local_file, remote_file):\\n \\\"\\\"\\\"\\n 上传文件\\n :param local_file:\\n :param remote_file:\\n :return:\\n \\\"\\\"\\\"\\n sftp = self.get_sftp()\\n try:\\n sftp.put(local_file, remote_file)\\n return True\\n except Exception as e:\\n logger.error('上传文件失败')\\n logger.error('remote: %s, local: %s' % (remote_file, local_file))\\n logger.error(e)\\n return False\\n\\n def get(self, remote_file, local_file):\\n \\\"\\\"\\\"\\n 下载文件\\n :param remote_file:\\n :param local_file:\\n :return:\\n \\\"\\\"\\\"\\n sftp = self.get_sftp()\\n try:\\n sftp.get(remote_file, local_file)\\n return True\\n except Exception as e:\\n logger.error('下载文件失败')\\n logger.error('remote: %s, local: %s' % (remote_file, local_file))\\n logger.error(e)\\n return False\\n\"\n },\n {\n \"alpha_fraction\": 0.6284796595573425,\n \"alphanum_fraction\": 0.6429336071014404,\n \"avg_line_length\": 30.6610164642334,\n \"blob_id\": \"69bd76147f0b200f4de9142c09bd151859f85157\",\n \"content_id\": \"6b8e5fe9ebd5c99b1199b6203b4d5290f4d6de27\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2016,\n \"license_type\": \"permissive\",\n \"max_line_length\": 88,\n \"num_lines\": 59,\n \"path\": \"/setup.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/7/27\\nfrom __future__ import unicode_literals\\n\\nimport sys\\n\\nfrom future.utils import bytes_to_native_str\\nfrom setuptools import setup, find_packages\\n\\nfrom mountains import __version__\\n\\nkwargs = {\\n 'packages': find_packages(),\\n # 还需要创建一个 MANIFEST.in 的文件，然后将这些数据也放在那里\\n # package_data 添加了配置，Python2会报错\\n 'package_data': {}\\n}\\n\\ninstall_requires = [\\n 'requests',\\n 'simplejson'\\n]\\n\\nif sys.version_info < (3, 0):\\n install_requires.append('futures')\\n\\nkwargs['install_requires'] = install_requires\\nreadme_file = 'README.md'\\nlong_description = open(readme_file, 'rb').read()\\n\\nsetup(\\n name='mountains', # 文件名\\n version=__version__, # 版本(每次更新上传 pypi 需要修改)\\n description=\\\"a util collection for python developing\\\",\\n long_description=bytes_to_native_str(long_description), # 放README.md文件，方便在 pypi 页展示\\n long_description_content_type='text/markdown',\\n classifiers=[\\n 'Programming Language :: Python :: 2',\\n 'Programming Language :: Python :: 2.7',\\n 'Programming Language :: Python :: 3',\\n 'Programming Language :: Python :: 3.4',\\n 'Programming Language :: Python :: 3.5',\\n 'Programming Language :: Python :: 3.6',\\n 'Programming Language :: Python :: 3.7',\\n 'Programming Language :: Python :: 3.8',\\n 'Programming Language :: Python :: 3.9',\\n 'Programming Language :: Python :: Implementation :: CPython',\\n 'Programming Language :: Python :: Implementation :: PyPy',\\n ], # Get strings from http://pypi.python.org/pypi?:action=list_classifiers\\n keywords='python utils', # 关键字\\n author='restran', # 用户名\\n author_email='grestran@gmail.com', # 邮箱\\n url='https://github.com/restran/mountains', # github上的地址\\n license='MIT', # 遵循的协议\\n include_package_data=True,\\n zip_safe=True,\\n platforms='any',\\n **kwargs\\n)\\n\"\n },\n {\n \"alpha_fraction\": 0.584330141544342,\n \"alphanum_fraction\": 0.5946969985961914,\n \"avg_line_length\": 33.83333206176758,\n \"blob_id\": \"f9df58646b11bb2fbfded887515a461ef3eb6cfe\",\n \"content_id\": \"2f27c5d5a66ff6e37006ba1b0268e8616d1183e9\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5516,\n \"license_type\": \"permissive\",\n \"max_line_length\": 122,\n \"num_lines\": 144,\n \"path\": \"/mountains/utils/email.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2016/07/02\\nfrom __future__ import unicode_literals, absolute_import, print_function\\n\\nimport logging\\nimport os\\nimport smtplib\\nfrom email.mime.multipart import MIMEMultipart\\nfrom email.mime.text import MIMEText\\nfrom email.utils import formatdate\\nfrom email.header import make_header\\n\\nfrom .. import BytesIO, PY2\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass EmailHandler(object):\\n def __init__(self, mail_from, password, smtp_server, smtp_port=25):\\n \\\"\\\"\\\"\\n :param mail_from: 发件人\\n :param password: 发件人密码\\n :param smtp_server: SMTP服务器地址\\n :param smtp_port: SMTP服务器端口，SSL 方式是 465\\n :return:\\n \\\"\\\"\\\"\\n\\n self.mail_from = mail_from\\n self.password = password\\n self.smtp_server = smtp_server\\n self.smtp_port = smtp_port\\n\\n def send_mail_ssl(self, mail_to_list, subject, content, file_name_list):\\n self.do_send_mail(True, mail_to_list, subject, content, file_name_list)\\n\\n def send_mail(self, mail_to_list, subject, content, file_name_list):\\n self.do_send_mail(False, mail_to_list, subject, content, file_name_list)\\n\\n def do_send_mail(self, is_ssl, mail_to_list, subject, content, file_name_list):\\n \\\"\\\"\\\"\\n 发送邮件\\n :param is_ssl: 使用SSL的方式发生\\n :param mail_to_list: 收件人列表\\n :param subject: 邮件主题\\n :param content: 邮件正文\\n :param file_name_list: 附近的文件路径列表\\n :return:\\n \\\"\\\"\\\"\\n if is_ssl:\\n smtp = smtplib.SMTP_SSL(self.smtp_server, self.smtp_port)\\n else:\\n smtp = smtplib.SMTP(self.smtp_server, self.smtp_port)\\n smtp.ehlo(name='foxmail')\\n # 调用login时，如果没有调用过 echlo 会自动调用该方法，但是默认使用的name为计算机名\\n # 如果计算机名有中文，就会返回503方法未实现的异常\\n smtp.login(self.mail_from, self.password)\\n msg = MIMEMultipart()\\n msg['From'] = self.mail_from\\n msg['To'] = ', '.join(mail_to_list)\\n msg['Date'] = formatdate(localtime=True)\\n msg['Subject'] = subject\\n # 如果 content 是 html，则需要设置 _subtype='html'\\n # 默认情况下 _subtype='plain'，即纯文本\\n msg.attach(MIMEText(content, _charset='UTF-8'))\\n for fn in file_name_list:\\n part = MIMEText(open(fn, 'rb').read(), 'base64', 'UTF-8')\\n part[\\\"Content-Type\\\"] = 'application/octet-stream'\\n basename = os.path.basename(fn)\\n # 解决一些邮箱在手机客户端上，附件文件名丢失的问题\\n part[\\\"Content-Type\\\"] = 'application/octet-stream;name=\\\"%s\\\"'% make_header([(basename,'UTF-8')]).encode('UTF-8')\\n part[\\\"Content-Disposition\\\"] = 'attachment;filename=\\\"%s\\\"' % make_header([(basename, 'UTF-8')]).encode('UTF-8')\\n msg.attach(part)\\n smtp.sendmail(self.mail_from, mail_to_list, msg.as_string())\\n smtp.close()\\n\\n\\nclass PostfixEmailHandler(object):\\n def __init__(self, mail_from, smtp_server='localhost', smtp_port=25):\\n self.mail_from = mail_from\\n self.smtp_server = smtp_server\\n self.smtp_port = smtp_port\\n\\n def send_email(self, mail_to, subject, content, content_type='plain', files=None):\\n \\\"\\\"\\\"\\n :param content_type: 如果 text 是html，则需要设置 _subtype='html'\\n :param mail_to:\\n :param subject:\\n :param content:\\n :param files: (f_name, f_data)\\n :return:\\n \\\"\\\"\\\"\\n assert type(mail_to) == list\\n server = self.smtp_server\\n if files is None:\\n files = []\\n\\n msg = MIMEMultipart()\\n msg['From'] = self.mail_from\\n msg['To'] = ', '.join(mail_to)\\n msg['Date'] = formatdate(localtime=True)\\n msg['Subject'] = subject\\n # 如果 text 是html，则需要设置 _subtype='html'\\n # 默认情况下 _subtype='plain'，即纯文本\\n msg.attach(MIMEText(content, _subtype=content_type, _charset='utf-8'))\\n\\n for fn, fd in files:\\n part = MIMEText(fd, 'base64', 'utf-8')\\n part[\\\"Content-Type\\\"] = 'application/octet-stream'\\n basename = fn\\n if PY2:\\n basename = basename.encode('gb2312')\\n # 文件名使用 gb2312 编码，否则会没有附件\\n part.add_header('Content-Disposition', 'attachment', filename=('gb2312', '', basename))\\n msg.attach(part)\\n smtp = smtplib.SMTP(server, port=self.smtp_port)\\n smtp.sendmail(self.mail_from, mail_to, msg.as_string())\\n smtp.close()\\n\\n\\ndef main():\\n handler = EmailHandler('mail_from@example.com', 'password', 'smtp.example.com', 465)\\n mail_to_list = ['example@test.com']\\n subject = 'Python 发送邮件测试'\\n content = '这是用 Python 自动发送的邮件，请勿回复'\\n # 附件存放在当前文件夹\\n file_name_list = ['test.rar']\\n handler.send_mail_ssl(mail_to_list, subject, content, file_name_list)\\n print('邮件发送成功')\\n\\n mail_to_list = ['mail_from@example.com']\\n subject = 'Python 发送邮件测试'\\n content = '这是用 Python 自动发送的邮件，请勿回复'\\n bio = BytesIO()\\n bio.write(b'123')\\n bio.getvalue()\\n files = [\\n ('test中文3.txt', bio.getvalue()),\\n ]\\n handler = PostfixEmailHandler('mail_from@example.com')\\n handler.send_email(mail_to_list, subject, content, files=files)\\n\\n\\nif __name__ == '__main__':\\n main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5466509461402893,\n \"alphanum_fraction\": 0.5586329102516174,\n \"avg_line_length\": 25.10769271850586,\n \"blob_id\": \"7726096cdafba8b878f1328098b8d1bd1d632147\",\n \"content_id\": \"983b9b78974213f54c3392798f9362663ca3d077\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5379,\n \"license_type\": \"permissive\",\n \"max_line_length\": 136,\n \"num_lines\": 195,\n \"path\": \"/mountains/http/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport os\\nimport random\\n\\nimport requests\\n\\nfrom ..base import __base_path\\nfrom ..file import read_dict\\nfrom ..encoding import force_bytes\\n\\nDEFAULT_USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2983.0 Safari/537.36'\\n\\nGLOBAL_USER_AGENTS = {}\\n\\nUSER_AGENT_DATA_PATH = os.path.join(__base_path, 'http/data/user_agents.txt')\\nMOBILE_USER_AGENT_DATA_PATH = os.path.join(__base_path, 'http/data/mobile_ua.txt')\\n\\n\\ndef random_agent(agent_type='pc'):\\n \\\"\\\"\\\"\\n 随机获取一个 User-Agent\\n :return:\\n \\\"\\\"\\\"\\n agent_type = agent_type.lower().strip()\\n if agent_type in ('wexin', 'wx'):\\n agent_type = 'wechat'\\n\\n if agent_type in ('ios',):\\n agent_type = 'iphone'\\n\\n global GLOBAL_USER_AGENTS\\n if agent_type not in GLOBAL_USER_AGENTS:\\n if agent_type == 'pc':\\n GLOBAL_USER_AGENTS[agent_type] = read_dict(USER_AGENT_DATA_PATH)\\n elif agent_type in ('mobile', 'wechat', 'android', 'iphone', 'alipay'):\\n if 'mobile' not in GLOBAL_USER_AGENTS:\\n GLOBAL_USER_AGENTS['mobile'] = list(read_dict(MOBILE_USER_AGENT_DATA_PATH))\\n mobile_data = GLOBAL_USER_AGENTS['mobile']\\n\\n if agent_type == 'wechat':\\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'MicroMessenger' in t]\\n elif agent_type == 'alipay':\\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'Alipay' in t]\\n elif agent_type == 'android':\\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'Android' in t]\\n elif agent_type == 'iphone':\\n GLOBAL_USER_AGENTS[agent_type] = [t for t in mobile_data if 'iPhone' in t]\\n else:\\n GLOBAL_USER_AGENTS[agent_type] = mobile_data\\n else:\\n return DEFAULT_USER_AGENT\\n\\n return random.choice(GLOBAL_USER_AGENTS[agent_type])\\n\\n\\ndef random_wx_agent():\\n \\\"\\\"\\\"\\n 返回一个微信的UserAgent\\n :return:\\n \\\"\\\"\\\"\\n return random_agent('wechat')\\n\\n\\ndef random_mobile_agent():\\n \\\"\\\"\\\"\\n 返回一个手机端的UserAgent\\n :return:\\n \\\"\\\"\\\"\\n return random_agent('mobile')\\n\\n\\ndef request(method, url, headers=None, data=None, session=None):\\n \\\"\\\"\\\"\\n :type session requests.session\\n :param method:\\n :param url:\\n :param headers:\\n :param data:\\n :param session:\\n :return:\\n \\\"\\\"\\\"\\n base_headers = {\\n 'User-Agent': random_agent()\\n }\\n if headers is None:\\n headers = {}\\n\\n base_headers.update(headers)\\n\\n if 'Content-Length' in headers:\\n del base_headers['Content-Length']\\n\\n headers = base_headers\\n if session is not None:\\n req = session.request\\n else:\\n req = requests.request\\n\\n r = req(method, url, headers=headers, data=data)\\n return r\\n\\n\\ndef read_request(file_name, **params):\\n \\\"\\\"\\\"\\n 从文件中读取请求头，并根据格式化字符串模板，进行字符串格式化\\n :param file_name:\\n :param params:\\n :return:\\n \\\"\\\"\\\"\\n with open(file_name, 'r') as f:\\n data = f.read()\\n return read_request_from_str(data, **params)\\n\\n\\ndef read_request_from_str(data, **params):\\n \\\"\\\"\\\"\\n 从字符串中读取请求头，并根据格式化字符串模板，进行字符串格式化\\n :param data:\\n :param params:\\n :return:\\n \\\"\\\"\\\"\\n method, uri = None, None\\n headers = {}\\n host = ''\\n\\n try:\\n split_list = data.split('\\\\n\\\\n')\\n headers_text = split_list[0]\\n body = '\\\\n\\\\n'.join(split_list[1:])\\n except:\\n headers_text = data\\n body = ''\\n\\n body = force_bytes(body)\\n for k, v in params.items():\\n body = body.replace(b'{%s}' % force_bytes(k), force_bytes(v))\\n\\n header_list = headers_text.split('\\\\n')\\n\\n for i, line in enumerate(header_list):\\n line = line.strip()\\n if line.strip() == '':\\n continue\\n\\n line = line.format(**params)\\n if i == 0:\\n # 至多3个\\n split_line = line.strip().split(' ')\\n method, uri, _ = split_line[0], ' '.join(split_line[1:-1]), split_line[-1]\\n else:\\n # 至多2个\\n header, value = line.split(':', 1)\\n header = header.strip()\\n value = value.strip()\\n headers[header] = value\\n if header.lower() == 'host':\\n host = value\\n\\n return headers, method, uri, host, body\\n\\n\\ndef query_str_2_dict(query_str):\\n \\\"\\\"\\\"\\n 将查询字符串，转换成字典\\n a=123&b=456\\n {'a': '123', 'b': '456'}\\n :param query_str:\\n :return:\\n \\\"\\\"\\\"\\n if query_str:\\n query_list = query_str.split('&')\\n query_dict = {}\\n for t in query_list:\\n # 避免在非法查询字符串的情况下报错\\n # 例如未对url参数转义\\n try:\\n x = t.split('=')\\n query_dict[x[0]] = x[1]\\n except:\\n pass\\n else:\\n query_dict = {}\\n return query_dict\\n\\n\\ndef raw_headers_to_dict(raw_headers):\\n \\\"\\\"\\\"\\n 通过原生请求头获取请求头字典\\n :param raw_headers: {str} 浏览器请求头\\n :return: {dict} headers\\n \\\"\\\"\\\"\\n return dict(line.split(\\\": \\\", 1) for line in raw_headers.split(\\\"\\\\n\\\") if ': ' in line)\\n\"\n },\n {\n \"alpha_fraction\": 0.5658578872680664,\n \"alphanum_fraction\": 0.5987868309020996,\n \"avg_line_length\": 22.5510196685791,\n \"blob_id\": \"d54941cd524af36efbcffd460658a2e27ed2c53d\",\n \"content_id\": \"c06eae8d17a1cc77bcd9fb60a37c19f5eb20cb86\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1154,\n \"license_type\": \"permissive\",\n \"max_line_length\": 84,\n \"num_lines\": 49,\n \"path\": \"/mountains/logging/terminal.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/9/9\\nfrom __future__ import unicode_literals, absolute_import\\nimport sys\\nfrom .terminal_size import get_terminal_size\\n\\nTERMINAL_SIZE = get_terminal_size()\\n\\n\\ndef terminal_pos(y, x):\\n return '\\\\x1b[%d;%dH' % (y, x)\\n\\n\\ndef print_on_terminal_bottom(text):\\n print('%s%s' % (terminal_pos(TERMINAL_SIZE[0], TERMINAL_SIZE[1]), text), end='')\\n\\n\\ndef print_on_terminal_fix(text):\\n sys.stdout.write(\\\"%s\\\\r\\\" % text)\\n sys.stdout.flush()\\n\\n\\nclass ColorConsole(object):\\n GREEN = \\\"\\\\033[92m\\\"\\n BLUE = \\\"\\\\033[94m\\\"\\n BOLD = \\\"\\\\033[1m\\\"\\n YELLOW = \\\"\\\\033[93m\\\"\\n RED = \\\"\\\\033[91m\\\"\\n END = \\\"\\\\033[0m\\\"\\n\\n @classmethod\\n def green(cls, message):\\n return '%s%s%s' % (cls.GREEN, message, cls.END)\\n\\n @classmethod\\n def blue(cls, message):\\n return '%s%s%s' % (cls.BLUE, message, cls.END)\\n\\n @classmethod\\n def red(cls, message):\\n return '%s%s%s' % (cls.RED, message, cls.END)\\n\\n @classmethod\\n def yellow(cls, message):\\n return '%s%s%s' % (cls.YELLOW, message, cls.END)\\n\\n @classmethod\\n def bold(cls, message):\\n return '%s%s%s' % (cls.BOLD, message, cls.END)\\n\"\n },\n {\n \"alpha_fraction\": 0.6209795475006104,\n \"alphanum_fraction\": 0.6527777910232544,\n \"avg_line_length\": 32.77777862548828,\n \"blob_id\": \"dde2f9bb8b9e36c421d642151d7f09a2b6108b72\",\n \"content_id\": \"474f2c970944fa2ca21e292da46aa905db764629\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2736,\n \"license_type\": \"permissive\",\n \"max_line_length\": 86,\n \"num_lines\": 81,\n \"path\": \"/tests/test_datetime.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/01/22\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport time\\nimport unittest\\nfrom datetime import datetime\\nfrom mountains.datetime import converter\\n\\n\\nclass DateTimeConverterTest(unittest.TestCase):\\n def setUp(self):\\n self.date_str = '2016-10-30 12:30:30'\\n self.dt = datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)\\n self.t = self.dt.timetuple()\\n self.ts = int(time.mktime(self.t))\\n self.ts_ms = int(time.mktime(self.t) * 1000)\\n\\n def test_str2datetime(self):\\n dt = converter.str2datetime(self.date_str)\\n self.assertEqual(dt, self.dt)\\n\\n def test_str2time(self):\\n t = converter.str2time(self.date_str)\\n self.assertEqual(t[0:6], self.t[0:6])\\n\\n def test_str2timestamp(self):\\n ts = converter.str2timestamp(self.date_str)\\n self.assertEqual(ts, self.ts)\\n ts = converter.str2timestamp(self.date_str, millisecond=True)\\n self.assertEqual(ts, self.ts_ms)\\n\\n def test_datetime2str(self):\\n s = converter.datetime2str(self.dt)\\n self.assertEqual(s, self.date_str)\\n\\n def test_datetime2time(self):\\n t = converter.datetime2time(self.dt)\\n self.assertEqual(t[0:6], self.t[0:6])\\n\\n def test_datetime2timestamp(self):\\n ts = converter.datetime2timestamp(self.dt)\\n self.assertEqual(ts, self.ts)\\n ts = converter.datetime2timestamp(self.dt, millisecond=True)\\n self.assertEqual(ts, self.ts_ms)\\n\\n def test_time2str(self):\\n s = converter.time2str(self.t)\\n self.assertEqual(s, self.date_str)\\n\\n def test_time2datetime(self):\\n dt = converter.time2datetime(self.t)\\n self.assertEqual(dt, self.dt)\\n\\n def test_time2timestamp(self):\\n ts = converter.time2timestamp(self.t)\\n self.assertEqual(ts, self.ts)\\n ts = converter.time2timestamp(self.t, millisecond=True)\\n self.assertEqual(ts, self.ts_ms)\\n\\n def test_timestamp2datetime(self):\\n dt = converter.timestamp2datetime(self.ts)\\n self.assertEqual(dt, self.dt)\\n dt = converter.timestamp2datetime(self.ts_ms, millisecond=True)\\n self.assertEqual(dt, self.dt)\\n\\n def test_timestamp2time(self):\\n t = converter.timestamp2time(self.ts)\\n self.assertEqual(t[0:6], self.t[0:6])\\n t = converter.timestamp2time(self.ts_ms, millisecond=True)\\n self.assertEqual(t[0:6], self.t[0:6])\\n\\n def test_timestamp2str(self):\\n s = converter.timestamp2str(self.ts)\\n self.assertEqual(s, self.date_str)\\n s = converter.timestamp2str(self.ts_ms, millisecond=True)\\n self.assertEqual(s, self.date_str)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5171695947647095,\n \"alphanum_fraction\": 0.5239334106445312,\n \"avg_line_length\": 30.508195877075195,\n \"blob_id\": \"1a7dfa55f0cba137e549f9449fcda88ed0df21ba\",\n \"content_id\": \"1de000c53d8e7940dd353b99ffab5a1c9baa86b9\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2016,\n \"license_type\": \"permissive\",\n \"max_line_length\": 82,\n \"num_lines\": 61,\n \"path\": \"/mountains/concurrent/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport time\\nfrom concurrent import futures\\n\\nfrom ..base import Queue\\n\\n\\nclass TaskExecutor(object):\\n \\\"\\\"\\\"\\n 使用线程的执行器，可以并发执行任务\\n \\\"\\\"\\\"\\n\\n def __init__(self, fn_task, task_params_list, max_workers=5):\\n self.fn_task = fn_task\\n self.max_workers = max_workers\\n self.task_list = task_params_list\\n self.task_queue = Queue()\\n for t in task_params_list:\\n self.task_queue.put(t)\\n\\n def get_next_tasks(self, max_num):\\n output = []\\n count = 0\\n while not self.task_queue.empty() and count < max_num:\\n t = self.task_queue.get()\\n output.append(t)\\n count += 1\\n\\n return output\\n\\n def run(self, *args, **kwargs):\\n print('executor start')\\n start_time = time.time()\\n with futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor:\\n next_tasks = self.get_next_tasks(self.max_workers)\\n shut_down = False\\n while not shut_down and len(next_tasks) > 0:\\n future_to_task = {\\n executor.submit(self.fn_task, task, *args, **kwargs): task\\n for task in next_tasks\\n }\\n\\n # 这里 ThreadPoolExecutor 必须要等当前的所有任务都执行完成后，\\n # 才能开始下一批的任务\\n for future in futures.as_completed(future_to_task):\\n _ = future_to_task[future]\\n try:\\n shut_down = future.result()\\n except Exception as exc:\\n print(exc)\\n continue\\n\\n if shut_down:\\n break\\n\\n next_tasks = self.get_next_tasks(self.max_workers)\\n end_time = time.time()\\n print('executor done, %.3fs' % (end_time - start_time))\\n\"\n },\n {\n \"alpha_fraction\": 0.4576271176338196,\n \"alphanum_fraction\": 0.6101694703102112,\n \"avg_line_length\": 28.5,\n \"blob_id\": \"4c54da006e12e18e6bc4989c6bff55fe56a88f7a\",\n \"content_id\": \"d2c69d8d5a13e6661b978ad0c826d33317e6db10\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 59,\n \"license_type\": \"permissive\",\n \"max_line_length\": 34,\n \"num_lines\": 2,\n \"path\": \"/mountains/gis/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2020/03/23\\n\"\n },\n {\n \"alpha_fraction\": 0.6161971688270569,\n \"alphanum_fraction\": 0.6443662047386169,\n \"avg_line_length\": 22.66666603088379,\n \"blob_id\": \"35df8e6d9619fbb6c99e643b6225939eea70ecdc\",\n \"content_id\": \"f571f45e52b8e1b086967e3377c531101ecc9dac\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 568,\n \"license_type\": \"permissive\",\n \"max_line_length\": 66,\n \"num_lines\": 24,\n \"path\": \"/tests/test_concurrent.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nfrom mountains.concurrent import TaskExecutor\\nimport time\\nimport random\\nimport unittest\\n\\n\\nclass DateTimeConverterTest(unittest.TestCase):\\n\\n def test_task_executor(self):\\n def fn_task(item):\\n print(item)\\n time.sleep(random.choice(range(0, 10)) / 10.0)\\n\\n task_params_list = range(3)\\n t = TaskExecutor(fn_task, task_params_list, max_workers=2)\\n t.run()\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5062549710273743,\n \"alphanum_fraction\": 0.5334916710853577,\n \"avg_line_length\": 18.92113494873047,\n \"blob_id\": \"9e136efa9a0296b51bcec961aedd02b2be5c7ad1\",\n \"content_id\": \"0e5525293faf1666e7813b4815340782afe3ddf0\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6759,\n \"license_type\": \"permissive\",\n \"max_line_length\": 84,\n \"num_lines\": 317,\n \"path\": \"/mountains/encoding/converter.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/3/7\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport binascii\\nimport struct\\nfrom xml.sax.saxutils import escape as xml_escape_func\\nfrom xml.sax.saxutils import unescape as xml_unescape_func\\n\\nfrom mountains.encoding import force_bytes, force_text\\n\\n\\ndef to_uu(data):\\n \\\"\\\"\\\"\\n uu编码\\n :param data: 字符串\\n :return: 编码后的字符串\\n \\\"\\\"\\\"\\n r = binascii.b2a_uu(force_bytes(data))\\n return force_text(r)\\n\\n\\ndef from_uu(data):\\n \\\"\\\"\\\"\\n 解uu编码\\n :param data: uu编码的字符串\\n :return: 字符串\\n \\\"\\\"\\\"\\n r = binascii.a2b_uu(data)\\n return force_text(r)\\n\\n\\ndef str2hex(s):\\n \\\"\\\"\\\"\\n 把一个字符串转成其ASCII码的16进制表示\\n :param s: 要转换的字符串\\n :return: ASCII码的16进制表示字符串\\n \\\"\\\"\\\"\\n return force_text(binascii.b2a_hex(force_bytes(s)))\\n\\n\\ndef hex2str(s):\\n \\\"\\\"\\\"\\n 把十六进制字符串转换成其ASCII表示字符串\\n :param s: 十六进制字符串\\n :return: 字符串\\n \\\"\\\"\\\"\\n return force_text(binascii.a2b_hex(s))\\n\\n\\nbase = [str(x) for x in range(10)] + [chr(x) for x in range(ord('A'), ord('A') + 6)]\\n\\n\\ndef bin2dec(s):\\n \\\"\\\"\\\"\\n bin2dec\\n 二进制 to 十进制: int(str,n=10)\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n return int(s, 2)\\n\\n\\ndef dec2bin(s):\\n \\\"\\\"\\\"\\n dec2bin\\n 十进制 to 二进制: bin()\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n if not isinstance(s, int):\\n num = int(s)\\n else:\\n num = s\\n mid = []\\n while True:\\n if num == 0:\\n break\\n num, rem = divmod(num, 2)\\n mid.append(base[rem])\\n\\n return ''.join([str(x) for x in mid[::-1]])\\n\\n\\ndef hex2dec(s):\\n \\\"\\\"\\\"\\n hex2dec\\n 十六进制 to 十进制\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n if not isinstance(s, str):\\n s = str(s)\\n return int(s.upper(), 16)\\n\\n\\ndef dec2hex(s):\\n \\\"\\\"\\\"\\n dec2hex\\n 十进制 to 八进制: oct()\\n 十进制 to 十六进制: hex()\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n if not isinstance(s, int):\\n num = int(s)\\n else:\\n num = s\\n return hex(num)[2:]\\n\\n\\ndef byte2hex(s):\\n \\\"\\\"\\\"\\n 字节类型的数据转成16进制字符串\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n\\n result = binascii.b2a_hex(s)\\n return force_text(result)\\n\\n\\ndef hex2bin(s):\\n \\\"\\\"\\\"\\n hex2tobin\\n 十六进制 to 二进制: bin(int(str,16))\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n if len(s) % 2 != 0:\\n s = '0' + s\\n\\n result = []\\n for i in range(len(s) // 2):\\n t = s[i * 2:(i + 1) * 2]\\n x = dec2bin(hex2dec(t.upper()))\\n padding_length = (8 - len(x) % 8) % 8\\n # 每个16进制值（2个字符）进行转码，不足8个的，在前面补0\\n x = '%s%s' % ('0' * padding_length, x)\\n result.append(x)\\n\\n result = ''.join(result)\\n return result if result != '' else '00000000'\\n\\n\\ndef bin2hex(s):\\n \\\"\\\"\\\"\\n bin2hex\\n 二进制 to 十六进制: hex(int(str,2))\\n :param s:\\n :return:\\n \\\"\\\"\\\"\\n padding_length = (8 - len(s) % 8) % 8\\n # 从前往后解码，不足8个的，在后面补0\\n encode_str = '%s%s' % (s, '0' * padding_length)\\n # 解码后是 0xab1234，需要去掉前面的 0x\\n return hex(int(encode_str, 2))[2:].rstrip('L')\\n\\n\\ndef str2dec(s):\\n \\\"\\\"\\\"\\n string to decimal number.\\n \\\"\\\"\\\"\\n if not len(s):\\n return 0\\n return int(str2hex(s), 16)\\n\\n\\ndef dec2str(n):\\n \\\"\\\"\\\"\\n decimal number to string.\\n \\\"\\\"\\\"\\n s = hex(int(n))[2:].rstrip('L')\\n if len(s) % 2 != 0:\\n s = '0' + s\\n return hex2str(s)\\n\\n\\ndef str2bin(s):\\n \\\"\\\"\\\"\\n String to binary.\\n \\\"\\\"\\\"\\n ret = []\\n for c in s:\\n ret.append(bin(ord(c))[2:].zfill(8))\\n return ''.join(ret)\\n\\n\\ndef bin2str(b):\\n \\\"\\\"\\\"\\n Binary to string.\\n \\\"\\\"\\\"\\n ret = []\\n for pos in range(0, len(b), 8):\\n ret.append(chr(int(b[pos:pos + 8], 2)))\\n return ''.join(ret)\\n\\n\\ndef from_digital(s, num):\\n \\\"\\\"\\\"\\n 进制转换，从指定机制转到10进制\\n :param s:\\n :param num:\\n :return:\\n \\\"\\\"\\\"\\n if not 1 < num < 10:\\n raise ValueError('digital num must between 1 and 10')\\n return '%s' % int(s, num)\\n\\n\\ndef to_digital(d, num):\\n \\\"\\\"\\\"\\n 进制转换，从10进制转到指定机制\\n :param d:\\n :param num:\\n :return:\\n \\\"\\\"\\\"\\n if not isinstance(num, int) or not 1 < num < 10:\\n raise ValueError('digital num must between 1 and 10')\\n\\n d = int(d)\\n result = []\\n x = d % num\\n d = d - x\\n result.append(str(x))\\n while d > 0:\\n d = d // num\\n x = d % num\\n d = d - x\\n result.append(str(x))\\n return ''.join(result[::-1])\\n\\n\\ndef xml_escape(data):\\n return xml_escape_func(data)\\n\\n\\ndef xml_un_escape(data):\\n return xml_unescape_func(data)\\n\\n\\ndef str2int(number_str, default_value=None):\\n if number_str is None or number_str == '':\\n return default_value\\n try:\\n return int(number_str)\\n except Exception as e:\\n return default_value\\n\\n\\ndef long2bytes(n, block_size=0):\\n \\\"\\\"\\\"Convert an integer to a byte string.\\n\\n In Python 3.2+, use the native method instead::\\n\\n >>> n.to_bytes(block_size, 'big')\\n\\n For instance::\\n\\n >>> n = 80\\n >>> n.to_bytes(2, 'big')\\n b'\\\\x00P'\\n\\n If the optional :data:`blocksize` is provided and greater than zero,\\n the byte string is padded with binary zeros (on the front) so that\\n the total length of the output is a multiple of blocksize.\\n\\n If :data:`blocksize` is zero or not provided, the byte string will\\n be of minimal length.\\n \\\"\\\"\\\"\\n # after much testing, this algorithm was deemed to be the fastest\\n s = b''\\n n = int(n)\\n pack = struct.pack\\n while n > 0:\\n s = pack('>I', n & 0xffffffff) + s\\n n = n >> 32\\n # strip off leading zeros\\n for i in range(len(s)):\\n if s[i] != b'\\\\000'[0]:\\n break\\n else:\\n # only happens when n == 0\\n s = b'\\\\000'\\n i = 0\\n s = s[i:]\\n # add back some pad bytes. this could be done more efficiently w.r.t. the\\n # de-padding being done above, but sigh...\\n if block_size > 0 and len(s) % block_size:\\n s = (block_size - len(s) % block_size) * b'\\\\000' + s\\n return s\\n\\n\\ndef bytes2long(s):\\n \\\"\\\"\\\"Convert a byte string to a long integer (big endian).\\n\\n In Python 3.2+, use the native method instead::\\n\\n >>> int.from_bytes(s, 'big')\\n\\n For instance::\\n\\n >>> int.from_bytes(b'\\\\x00P', 'big')\\n 80\\n\\n This is (essentially) the inverse of :func:`long_to_bytes`.\\n \\\"\\\"\\\"\\n acc = 0\\n unpack = struct.unpack\\n length = len(s)\\n if length % 4:\\n extra = (4 - length % 4)\\n s = b'\\\\000' * extra + s\\n length = length + extra\\n for i in range(0, length, 4):\\n acc = (acc << 32) + unpack('>I', s[i:i + 4])[0]\\n return acc\\n\"\n },\n {\n \"alpha_fraction\": 0.5543318390846252,\n \"alphanum_fraction\": 0.5668135285377502,\n \"avg_line_length\": 19.96923065185547,\n \"blob_id\": \"d297045c449b77c26c7efd1b4a7194c5db84e1c8\",\n \"content_id\": \"71b76de3658008eeb5f88a3bd06721c24e8cfcb1\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1566,\n \"license_type\": \"permissive\",\n \"max_line_length\": 72,\n \"num_lines\": 65,\n \"path\": \"/mountains/decorator/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/9/15\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport time\\nfrom functools import wraps\\n\\n\\n# 装饰器的本质，是把函数作为参数传给装饰器函数\\n# 装饰器实际上是闭包\\ndef log(func):\\n \\\"\\\"\\\"\\n 打印函数运行日志的装饰器\\n :param func:\\n :return:\\n \\\"\\\"\\\"\\n\\n # wraps 这个装饰器会将 func 的 doc 和 __name__ 复制过来\\n # 否则在 wrapper 中调用 func.__name__ 输出的就是 wrapper\\n @wraps(func)\\n def wrapper(*args, **kwargs):\\n print('before call %s' % func.__name__)\\n ret = func(*args, **kwargs)\\n print('after call %s' % func.__name__)\\n return ret\\n\\n return wrapper\\n\\n\\ndef log_with_message(message):\\n \\\"\\\"\\\"\\n 打印函数运行日志的装饰器，可以再给装饰器传参数\\n :param message:\\n :return:\\n \\\"\\\"\\\"\\n\\n def decorator(func):\\n @wraps(func)\\n def wrapper(*args, **kwargs):\\n print('decorator log_with_message is running, %s' % message)\\n ret = func(*args, **kwargs)\\n return ret\\n\\n return wrapper\\n\\n return decorator\\n\\n\\ndef time_elapsed(func):\\n \\\"\\\"\\\"\\n 记录函数运行耗时的生成器\\n :param func:\\n :return:\\n \\\"\\\"\\\"\\n\\n @wraps(func)\\n def wrapper(*args, **kwargs):\\n timestamp = time.time() * 1000\\n ret = func(*args, **kwargs)\\n now_ts = time.time() * 1000\\n elapsed = now_ts - timestamp\\n print('%s costs time: %.2fms' % (func.__name__, elapsed))\\n return ret\\n\\n return wrapper\"\n },\n {\n \"alpha_fraction\": 0.6009947657585144,\n \"alphanum_fraction\": 0.6043105721473694,\n \"avg_line_length\": 32.50925827026367,\n \"blob_id\": \"7ad841efa85d12765bbb86f14a71170e67d0e71a\",\n \"content_id\": \"ac7e67a205b54411372851713d6fc405f8271199\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3727,\n \"license_type\": \"permissive\",\n \"max_line_length\": 100,\n \"num_lines\": 108,\n \"path\": \"/mountains/file/csv.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/9/10\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport csv\\n\\n__all__ = ['read_csv', 'read_csv_as_dict', 'write_csv', 'write_csv_from_dict']\\n\\n\\ndef read_csv(filepath_or_buffer, encoding=None, delimiter=',', quotechar='\\\"'):\\n \\\"\\\"\\\"\\n 读 CSV 文件\\n :param encoding: 设置编码，如果文件是UTF-8 with BOM，encoding 使用 utf-8-sig\\n :param filepath_or_buffer:\\n :param delimiter:\\n :param quotechar:\\n :return:\\n \\\"\\\"\\\"\\n\\n if isinstance(filepath_or_buffer, str):\\n with open(filepath_or_buffer, 'r', encoding=encoding) as csv_file:\\n reader = csv.reader(csv_file, delimiter=delimiter, quotechar=quotechar)\\n for row in reader:\\n yield row\\n\\n else:\\n reader = csv.reader(filepath_or_buffer, delimiter=delimiter, quotechar=quotechar)\\n for row in reader:\\n yield row\\n\\n\\ndef read_csv_as_dict(filepath_or_buffer, headers=None, encoding=None, delimiter=',', quotechar='\\\"'):\\n \\\"\\\"\\\"\\n\\n :param filepath_or_buffer:\\n :param headers: 首行字段列表\\n :param encoding: 设置编码，如果文件是UTF-8 with BOM，encoding 使用 utf-8-sig\\n :param delimiter: 字段分隔符\\n :param quotechar:\\n :return:\\n \\\"\\\"\\\"\\n if isinstance(filepath_or_buffer, str):\\n with open(filepath_or_buffer, 'r', encoding=encoding) as csv_file:\\n reader = csv.DictReader(csv_file, fieldnames=headers,\\n delimiter=delimiter, quotechar=quotechar)\\n for row in reader:\\n yield dict(row)\\n else:\\n reader = csv.DictReader(filepath_or_buffer, fieldnames=headers,\\n delimiter=delimiter, quotechar=quotechar)\\n for row in reader:\\n yield dict(row)\\n\\n\\ndef write_csv(filepath_or_buffer=None, headers=None, data=None,\\n encoding=None, delimiter=',', quotechar='\\\"'):\\n \\\"\\\"\\\"\\n 写 CSV\\n :param filepath_or_buffer:\\n :param headers:\\n :param data:\\n :param encoding:\\n :param delimiter:\\n :param quotechar:\\n :return:\\n \\\"\\\"\\\"\\n if isinstance(filepath_or_buffer, str):\\n with open(filepath_or_buffer, 'w', encoding=encoding) as csv_file:\\n writer = csv.writer(csv_file, delimiter=delimiter, quotechar=quotechar)\\n if headers is not None and isinstance(headers, list):\\n writer.writerow(headers)\\n\\n writer.writerows(data)\\n else:\\n writer = csv.writer(filepath_or_buffer, delimiter=delimiter, quotechar=quotechar)\\n if headers is not None and isinstance(headers, list):\\n writer.writerow(headers)\\n\\n writer.writerows(data)\\n\\n\\ndef write_csv_from_dict(filepath_or_buffer=None, headers=None, data=None,\\n write_header=True, encoding=None, delimiter=',',\\n quotechar='\\\"'):\\n \\\"\\\"\\\"\\n data 是 list 类型，每一项都是字典类型\\n :param write_header:\\n :param filepath_or_buffer:\\n :param headers:\\n :param data:\\n :param encoding:\\n :param delimiter:\\n :param quotechar:\\n :return:\\n \\\"\\\"\\\"\\n if isinstance(filepath_or_buffer, str):\\n with open(filepath_or_buffer, 'w', encoding=encoding) as csv_file:\\n writer = csv.DictWriter(csv_file, fieldnames=headers, delimiter=delimiter,\\n quotechar=quotechar)\\n if write_header:\\n writer.writeheader()\\n writer.writerows(data)\\n else:\\n writer = csv.DictWriter(filepath_or_buffer, fieldnames=headers, delimiter=delimiter,\\n quotechar=quotechar)\\n if write_header:\\n writer.writeheader()\\n writer.writerows(data)\\n\"\n },\n {\n \"alpha_fraction\": 0.6122807264328003,\n \"alphanum_fraction\": 0.6280701756477356,\n \"avg_line_length\": 21.799999237060547,\n \"blob_id\": \"a3c97eafcb347100a0ad1e149b4f5c980387b86f\",\n \"content_id\": \"1fa937bddfc12592081821e36185bcf87ada0c54\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 570,\n \"license_type\": \"permissive\",\n \"max_line_length\": 77,\n \"num_lines\": 25,\n \"path\": \"/tests/test_http.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/11/13\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport unittest\\n\\nfrom mountains.http import random_agent, random_mobile_agent, random_wx_agent\\n\\n\\nclass HTTPTest(unittest.TestCase):\\n def setUp(self):\\n pass\\n\\n def test_random_agent(self):\\n random_agent()\\n random_agent('pc')\\n random_agent('wexin')\\n random_agent('mobile')\\n random_wx_agent()\\n random_mobile_agent()\\n self.assertEqual(True, True)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5322006940841675,\n \"alphanum_fraction\": 0.542868435382843,\n \"avg_line_length\": 25.50261688232422,\n \"blob_id\": \"9097b4eb6e1317cd4fd0f2136784805c7a56f812\",\n \"content_id\": \"672cad9c0176c2a09a8560592aac54527f7cad22\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5280,\n \"license_type\": \"permissive\",\n \"max_line_length\": 113,\n \"num_lines\": 191,\n \"path\": \"/mountains/file/excel.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/04/16\\nfrom __future__ import unicode_literals, absolute_import\\n\\nfrom datetime import datetime\\n\\nfrom ..base import BytesIO, text_type, iteritems\\nfrom ..file import write_bytes_file\\n\\n__all__ = ['read_excel', 'write_excel', 'edit_excel']\\n\\n\\ndef read_excel(file_name=None, file_contents=None, offset=1,\\n header_index=0, sheet_index=0, sheet_name=None,\\n dt2str=True, lower_header=True):\\n \\\"\\\"\\\"\\n 读取 Excel\\n :param sheet_name:\\n :param dt2str: 将日期类型的数据转成字符串\\n :param header_index: header 在哪一行\\n :param file_contents:\\n :param sheet_index:\\n :param file_name:\\n :param offset: 偏移，一般第一行是表头，不需要读取数据\\n :param lower_header: 标题转成小写\\n :return:\\n \\\"\\\"\\\"\\n try:\\n import xlrd\\n from xlrd import xldate_as_tuple\\n except:\\n raise Exception('xlrd is not installed')\\n\\n try:\\n workbook = xlrd.open_workbook(filename=file_name, file_contents=file_contents)\\n except Exception as e:\\n return None\\n\\n if len(workbook.sheets()) <= 0:\\n return []\\n\\n if sheet_name is not None:\\n sh = workbook.sheet_by_name(sheet_name)\\n else:\\n sh = workbook.sheet_by_index(sheet_index)\\n\\n raw_data = []\\n n_rows = sh.nrows\\n row = sh.row_values(header_index)\\n header = []\\n for t in row:\\n t = text_type(t).strip()\\n if lower_header:\\n t = t.lower()\\n header.append(t)\\n\\n # n_cols = sh.ncols\\n # 第0行是提示信息和标题，跳过\\n for i in range(offset, n_rows):\\n try:\\n # row = sh.row_values(i)\\n d = {}\\n # ctype: 0 empty,1 string, 2 number, 3 date, 4 boolean, 5 error\\n for j, t in enumerate(header):\\n ctype = sh.cell(i, j).ctype # 表格的数据类型\\n cell = sh.cell_value(i, j)\\n if ctype == 2 and cell % 1 == 0: # 如果是整形\\n cell = int(cell)\\n elif ctype == 3:\\n # 转成datetime对象\\n cell = datetime(*xldate_as_tuple(cell, 0))\\n if dt2str:\\n cell = cell.strftime('%Y-%m-%d %H:%M:%S')\\n elif ctype == 4:\\n cell = True if cell == 1 else False\\n\\n d[t] = cell\\n raw_data.append(d)\\n except Exception as e:\\n pass\\n\\n return raw_data\\n\\n\\ndef write_excel(headers, data, file_name, file_io=None):\\n \\\"\\\"\\\"\\n 写数据到新的Excel中\\n :param headers:\\n :param data:\\n :param file_name:\\n :param file_io:\\n :return:\\n \\\"\\\"\\\"\\n try:\\n import xlsxwriter\\n except:\\n raise Exception('xlsxwriter is not installed')\\n\\n sio = BytesIO()\\n workbook = xlsxwriter.Workbook(sio)\\n worksheet = workbook.add_worksheet()\\n new_headers = []\\n if len(headers) > 0:\\n for t in headers:\\n if isinstance(t, dict):\\n new_headers.append(t.get('name', ''))\\n else:\\n new_headers.append(t)\\n headers = new_headers\\n for i, t in enumerate(headers):\\n worksheet.write(0, i, t)\\n\\n index = 1\\n for row in data:\\n if isinstance(row, dict):\\n for i, name in enumerate(headers):\\n worksheet.write(index, i, row.get(name, ''))\\n else:\\n for i, x in enumerate(row):\\n worksheet.write(index, i, x)\\n index += 1\\n # 关闭 Excel\\n workbook.close()\\n if file_io is not None:\\n if not isinstance(file_io, BytesIO):\\n raise Exception('output_fio should be BytesIO')\\n else:\\n file_io.write(sio.getvalue())\\n else:\\n write_bytes_file(file_name, sio.getvalue())\\n\\n\\ndef edit_excel(file_name=None, sheet_index=0, sheet_name=None, data=None, output_filename=None, output_fio=None):\\n \\\"\\\"\\\"\\n 编辑 Excel，打开已有的 Excel，往里面填充数据\\n :param file_name:\\n :param sheet_index:\\n :param sheet_name:\\n :param data: data = {'A2': '123', 'A3': '456'}\\n :param output_filename:\\n :param output_fio:\\n :type data: dict\\n \\\"\\\"\\\"\\n try:\\n from openpyxl import load_workbook\\n except:\\n raise Exception('openpyxl is not installed')\\n\\n try:\\n wb = load_workbook(file_name)\\n if sheet_name is not None:\\n ws = wb[sheet_name]\\n else:\\n ws = wb.worksheets[sheet_index]\\n except Exception as e:\\n return None\\n\\n for key, value in iteritems(data):\\n try:\\n ws[key] = value\\n except:\\n pass\\n\\n if output_fio is not None:\\n if not isinstance(output_fio, BytesIO):\\n raise Exception('output_fio should be BytesIO')\\n else:\\n wb.save(output_fio)\\n elif output_filename is not None:\\n wb.save(output_filename)\\n else:\\n wb.save(file_name)\\n\\n wb.close()\\n\\n\\ndef to_excel_column_no(index, index_start_1=False):\\n \\\"\\\"\\\"\\n Excel 列编号是: A, B, ..., AA, ..., BA\\n index 编号默认从1开始\\n \\\"\\\"\\\"\\n if index_start_1:\\n index -= 1\\n y = ''\\n s = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'\\n\\n while index >= 0:\\n y += s[index % 26]\\n index = index // 26 - 1\\n\\n return y[::-1]\\n\"\n },\n {\n \"alpha_fraction\": 0.6495726704597473,\n \"alphanum_fraction\": 0.6615384817123413,\n \"avg_line_length\": 33.411766052246094,\n \"blob_id\": \"8542446a9691b4ba4836cb0a0d718a26850a9b1d\",\n \"content_id\": \"0af607ca26eeeba122fbe6ea79b64f49bec3dfb2\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1170,\n \"license_type\": \"permissive\",\n \"max_line_length\": 103,\n \"num_lines\": 34,\n \"path\": \"/tests/test_logging.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nfrom mountains import logging\\nfrom mountains.logging import StreamHandler, FileHandler, RotatingFileHandler, TimedRotatingFileHandler\\nimport unittest\\n\\n\\nclass UtilsTest(unittest.TestCase):\\n def test_1(self):\\n logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE),\\n FileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\\n logger = logging.getLogger(__name__)\\n print('123')\\n logger.debug('hello')\\n\\n def test_2(self):\\n logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE),\\n RotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\\n logger = logging.getLogger(__name__)\\n\\n logger.debug('hello')\\n\\n def test_3(self):\\n logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE),\\n TimedRotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))\\n logger = logging.getLogger(__name__)\\n\\n logger.debug('hello')\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.6130831837654114,\n \"alphanum_fraction\": 0.6211967468261719,\n \"avg_line_length\": 24.610389709472656,\n \"blob_id\": \"20d50d23de25c18e23ffedd1eaae10a6c726ff72\",\n \"content_id\": \"ab332d7bd14c6761de2a0da9a2919d669fea022d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2168,\n \"license_type\": \"permissive\",\n \"max_line_length\": 75,\n \"num_lines\": 77,\n \"path\": \"/mountains/json/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport uuid\\nfrom datetime import datetime\\nfrom decimal import Decimal\\nfrom .. import text_type, PY3, force_text\\n\\n# https://github.com/esnme/ultrajson\\n# ujson 速度比较快，但是有些参数没有，与 simplejson 和 json 不完全兼容\\n# 而且 ujson 似乎已经不再维护了\\n\\ntry:\\n import simplejson as json\\n\\n simplejson_imported = True\\nexcept ImportError:\\n import json\\n\\n simplejson_imported = False\\n\\n\\ndef json_default(obj):\\n \\\"\\\"\\\"\\n 对一些数据类型的 json 序列化，\\n 默认情况下 json 没有对 datetime 和 Decimal 进行序列化\\n 如果不指定的话，会抛异常\\n :param obj:\\n :return:\\n \\\"\\\"\\\"\\n if isinstance(obj, datetime):\\n return obj.strftime(\\\"%Y-%m-%d %H:%M:%S\\\")\\n elif isinstance(obj, Decimal):\\n return float(obj)\\n elif isinstance(obj, uuid.UUID):\\n return text_type(obj)\\n else:\\n try:\\n return text_type(obj)\\n except:\\n pass\\n\\n raise TypeError(\\\"%r is not JSON serializable\\\" % obj)\\n\\n\\nload = json.load\\ndump = json.dump\\n\\n\\ndef loads(content, encoding='utf-8', **kwargs):\\n if PY3:\\n # python3.5，json loads 必须为str类型，如果为bytes类型会报错\\n # python3.7，json loads 支持str类型和bytes类型\\n content = force_text(content)\\n return json.loads(s=content, encoding=encoding, **kwargs)\\n\\n\\ndef dumps(dict_data, ensure_ascii=True, indent=None,\\n sort_keys=False, encoding='utf-8', **kwargs):\\n \\\"\\\"\\\"\\n 返回json数据\\n :param encoding:\\n :param ensure_ascii:\\n :param sort_keys:\\n :param indent:\\n :param dict_data:\\n :return:\\n \\\"\\\"\\\"\\n if simplejson_imported:\\n return json.dumps(dict_data, default=json_default,\\n ensure_ascii=ensure_ascii, indent=indent,\\n sort_keys=sort_keys, encoding=encoding, **kwargs)\\n else:\\n return json.dumps(dict_data, default=json_default,\\n ensure_ascii=ensure_ascii, indent=indent,\\n sort_keys=sort_keys, **kwargs)\\n\"\n },\n {\n \"alpha_fraction\": 0.5761091113090515,\n \"alphanum_fraction\": 0.5798714756965637,\n \"avg_line_length\": 26.734783172607422,\n \"blob_id\": \"8f1e66665fbc182b0001d213be04138c2e60f655\",\n \"content_id\": \"fb7a803b13b91d19ebc8406e2df305bdd6dfd1a8\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6473,\n \"license_type\": \"permissive\",\n \"max_line_length\": 94,\n \"num_lines\": 230,\n \"path\": \"/mountains/django/model.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# created by restran on 2018/01/22\\nfrom __future__ import unicode_literals, absolute_import\\n\\nimport logging\\nimport traceback\\nimport math\\n\\ntry:\\n from django.core.paginator import Paginator, EmptyPage\\nexcept ImportError:\\n raise Exception('django is not installed')\\n\\nfrom ..base import iteritems\\n\\nMAX_PAGE_SIZE = 100\\n\\nDEFAULT_PAGE_SIZE = 20\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\ndef object_set_dict_data(model_class, dict_data):\\n obj = model_class()\\n for k, v in iteritems(dict_data):\\n setattr(obj, k, v)\\n\\n return obj\\n\\n\\ndef add_fields_2_json(obj, json_dict, fields):\\n for t in fields:\\n if hasattr(obj, t):\\n json_dict[t] = getattr(obj, t)\\n\\n\\ndef set_dict_none_default(dict_item, default_value):\\n \\\"\\\"\\\"\\n 对字典中为None的值，重新设置默认值\\n :param dict_item:\\n :param default_value:\\n :return:\\n \\\"\\\"\\\"\\n for (k, v) in iteritems(dict_item):\\n if v is None:\\n dict_item[k] = default_value\\n\\n\\ndef auto_model_name_recognize(model_name):\\n \\\"\\\"\\\"\\n 自动将 site-user 识别成 SiteUser\\n :param model_name:\\n :return:\\n \\\"\\\"\\\"\\n name_list = model_name.split('-')\\n return ''.join(['%s%s' % (name[0].upper(), name[1:]) for name in name_list])\\n\\n\\ndef model_get_entry(model_class, entry_id=None, filter_dict=None, select_related_fields=None):\\n \\\"\\\"\\\"\\n \\\"\\\"\\\"\\n if filter_dict is None:\\n filter_dict = {}\\n\\n if entry_id is not None:\\n filter_dict['id'] = entry_id\\n\\n try:\\n if select_related_fields is None:\\n return model_class.objects.get(**filter_dict)\\n else:\\n fields = [t.attname for t in model_class._meta.fields]\\n fields.extend(select_related_fields)\\n obj = model_class.objects.values(*fields).get(**filter_dict)\\n return object_set_dict_data(model_class, obj)\\n except model_class.DoesNotExist:\\n return None\\n except Exception as e:\\n logger.error(traceback.format_exc())\\n logger.error(e)\\n return None\\n\\n\\ndef model_delete_entry(model_class, entry_id):\\n model_class.objects.filter(id=entry_id).delete()\\n\\n\\ndef model_total_count(model_class, filter_dict=None, q_filter=None):\\n if filter_dict is None:\\n filter_dict = {}\\n\\n if q_filter is not None:\\n filter_list = [q_filter]\\n else:\\n filter_list = []\\n\\n return model_class.objects.filter(\\n *filter_list, **filter_dict).count()\\n\\n\\ndef model_to_select_list(model_class, filter_dict=None, q_filter=None):\\n \\\"\\\"\\\"\\n 只选择 id 和 name，用来做列表选择\\n :param model_class:\\n :param filter_dict:\\n :param q_filter:\\n :return:\\n \\\"\\\"\\\"\\n if filter_dict is None:\\n filter_dict = {}\\n\\n if q_filter is not None:\\n filter_list = [q_filter]\\n else:\\n filter_list = []\\n\\n objects = model_class.objects.filter(\\n *filter_list, **filter_dict).values('id', 'name')\\n\\n return list(objects)\\n\\n\\ndef model_to_list(model_class, filter_dict=None, order_by_list=None,\\n select_related_fields=None, q_filter=None,\\n values=None,\\n to_json_method='to_json'):\\n \\\"\\\"\\\"\\n 不分页\\n :param values:\\n :param to_json_method:\\n :param model_class:\\n :param filter_dict:\\n :param order_by_list:\\n :param select_related_fields:\\n :param q_filter:\\n :return:\\n \\\"\\\"\\\"\\n return model_to_page_list(model_class, page_num=None,\\n filter_dict=filter_dict, order_by_list=order_by_list,\\n select_related_fields=select_related_fields,\\n q_filter=q_filter, values=values,\\n to_json_method=to_json_method)\\n\\n\\ndef model_to_page_list(model_class, page_num,\\n page_size=DEFAULT_PAGE_SIZE,\\n filter_dict=None, order_by_list=None,\\n select_related_fields=None, q_filter=None,\\n values=None, to_json_method='to_json',\\n max_page_size=MAX_PAGE_SIZE):\\n \\\"\\\"\\\"\\n :param max_page_size:\\n :param model_class:\\n :param page_num:\\n :param page_size:\\n :param filter_dict:\\n :param order_by_list:\\n :param select_related_fields:\\n :param q_filter: Q(uuid__contains=keyword) | Q(memo__contains=keyword)\\n :param values:\\n :param to_json_method:\\n :return:\\n \\\"\\\"\\\"\\n if order_by_list is None:\\n order_by_list = ['-id']\\n\\n if filter_dict is None:\\n filter_dict = {}\\n\\n if q_filter is not None:\\n filter_list = [q_filter]\\n else:\\n filter_list = []\\n\\n if select_related_fields is None:\\n if values is None:\\n objects = model_class.objects.filter(\\n *filter_list, **filter_dict).order_by(*order_by_list)\\n else:\\n objects = model_class.objects.filter(\\n *filter_list, **filter_dict).values(*values).order_by(*order_by_list)\\n else:\\n if values is None:\\n fields = [t.attname for t in model_class._meta.fields]\\n else:\\n fields = values\\n fields.extend(select_related_fields)\\n objects = model_class.objects.filter(\\n *filter_list, **filter_dict).values(*fields).order_by(*order_by_list)\\n\\n if page_num is not None:\\n if page_size > max_page_size:\\n page_size = max_page_size\\n\\n paginator = Paginator(objects, page_size)\\n try:\\n obj_list = paginator.page(page_num)\\n except EmptyPage as e:\\n obj_list = []\\n else:\\n obj_list = list(objects)\\n\\n if select_related_fields is not None or values is not None:\\n obj_list = [object_set_dict_data(model_class, t) for t in obj_list]\\n\\n if to_json_method is None:\\n return obj_list\\n else:\\n return [getattr(t, to_json_method)() for t in obj_list]\\n\\n\\ndef bulk_delete(model, delete_id_list, id_name='id', batch_size=200):\\n \\\"\\\"\\\"\\n 批量删除\\n :param model:\\n :param delete_id_list:\\n :param id_name: id的名称，一般是id\\n :param batch_size:\\n :return:\\n \\\"\\\"\\\"\\n total = len(delete_id_list)\\n times = math.ceil(total * 1.0 / batch_size)\\n for i in range(times):\\n data_list = delete_id_list[i * batch_size:(i + 1) * batch_size]\\n if len(data_list) > 0:\\n id_list = [t for t in data_list]\\n filter_params = {\\n '{}__in'.format(id_name): id_list\\n }\\n model.objects.filter(**filter_params).delete()\\n\"\n },\n {\n \"alpha_fraction\": 0.6034843325614929,\n \"alphanum_fraction\": 0.6209059357643127,\n \"avg_line_length\": 33.16666793823242,\n \"blob_id\": \"ad8fedafd68afe6b36d826500232ce4615b40e3f\",\n \"content_id\": \"cf3eb311743f42c3bd6f556748973aca1d847b87\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1435,\n \"license_type\": \"permissive\",\n \"max_line_length\": 95,\n \"num_lines\": 42,\n \"path\": \"/tests/test_string_utils.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2018/3/22\\nfrom __future__ import unicode_literals, absolute_import\\n\\nfrom mountains.utils import string_utils\\nimport unittest\\nimport random\\nimport string\\n\\n\\nclass UtilsTest(unittest.TestCase):\\n def test_line_break(self):\\n s = ''.join([random.choice(string.ascii_letters + string.digits) for _ in range(3000)])\\n break_s = string_utils.line_break(s)\\n self.assertEqual(s, break_s.replace('\\\\n', ''))\\n\\n break_s = string_utils.line_break(s, 10)\\n self.assertEqual(s, break_s.replace('\\\\n', ''))\\n\\n break_s = string_utils.line_break(s, 100)\\n self.assertEqual(s, break_s.replace('\\\\n', ''))\\n\\n break_s = string_utils.line_break(s, 3001)\\n self.assertEqual(s, break_s.replace('\\\\n', ''))\\n\\n def test_fixed_length_split(self):\\n s = 'aaaabbbbccccdddd'\\n r = string_utils.fixed_length_split(s, 4)\\n self.assertEqual(r, ['aaaa', 'bbbb', 'cccc', 'dddd'])\\n r = string_utils.fixed_length_split(s, 6)\\n self.assertEqual(r, ['aaaabb', 'bbcccc', 'dddd'])\\n r = string_utils.fixed_length_split(s, 16)\\n self.assertEqual(r, ['aaaabbbbccccdddd'])\\n\\n def test_is_empty(self):\\n self.assertEqual(string_utils.is_empty(''), True)\\n self.assertEqual(string_utils.is_empty(None), True)\\n self.assertEqual(string_utils.is_empty('aaa'), False)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.4704282879829407,\n \"alphanum_fraction\": 0.4962610602378845,\n \"avg_line_length\": 20.31884002685547,\n \"blob_id\": \"a3118f38455536da2c59b44a22cf25085c8681c4\",\n \"content_id\": \"cd6c17ff9880f5c92b6f287054f938632105ef9e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1553,\n \"license_type\": \"permissive\",\n \"max_line_length\": 74,\n \"num_lines\": 69,\n \"path\": \"/mountains/utils/string_utils.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/11/7\\nfrom __future__ import unicode_literals, absolute_import\\nfrom ..encoding import force_bytes, text_type, force_text\\nfrom .. import PY2, string_types\\n\\n\\ndef fixed_length_split(s, width):\\n \\\"\\\"\\\"\\n 固定长度分割字符串\\n :param s:\\n :param width:\\n :return:\\n \\\"\\\"\\\"\\n # 使用正则的方法\\n # import re\\n # split = re.findall(r'.{%s}' % width, string)\\n return [s[x: x + width] for x in range(0, len(s), width)]\\n\\n\\ndef line_break(s, length=76):\\n \\\"\\\"\\\"\\n 将字符串分割成一行一行\\n :param s:\\n :param length:\\n :return:\\n \\\"\\\"\\\"\\n x = '\\\\n'.join(s[pos:pos + length] for pos in range(0, len(s), length))\\n return x\\n\\n\\ndef is_empty(s):\\n if s == '' or s == b'' or s is None or not isinstance(s, text_type):\\n return True\\n else:\\n return False\\n\\n\\ndef any_empty(*params):\\n for s in params:\\n if is_empty(s):\\n return True\\n else:\\n return False\\n\\n\\ndef bytes_2_printable_strings(data):\\n data = force_bytes(data)\\n result = ['', '']\\n for c in data:\\n if PY2:\\n c = ord(c)\\n\\n if 32 <= c <= 126 or c in (9, 10, 13):\\n if c == 9:\\n c = 32\\n elif c == 13:\\n c = 10\\n\\n # 去掉连续的空格\\n if c == 32 and result[-1] == ' ':\\n continue\\n # 去掉连续的换行\\n elif c == 10 and result[-1] == '\\\\n':\\n continue\\n\\n result.append(chr(c))\\n\\n return ''.join(result)\\n\"\n },\n {\n \"alpha_fraction\": 0.6206896305084229,\n \"alphanum_fraction\": 0.6896551847457886,\n \"avg_line_length\": 37.33333206176758,\n \"blob_id\": \"b6c799c8078b2e79fb069feedda0335ae3fa6c89\",\n \"content_id\": \"cc41474e5061e426c232103cb860827d6c5d0718\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 116,\n \"license_type\": \"permissive\",\n \"max_line_length\": 56,\n \"num_lines\": 3,\n \"path\": \"/mountains/datetime/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/8/23\\nfrom __future__ import unicode_literals, absolute_import\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5171327590942383,\n \"alphanum_fraction\": 0.531705379486084,\n \"avg_line_length\": 19.81147575378418,\n \"blob_id\": \"8ba8289c06066d5a9e3a43bde5ceff636fe4b15d\",\n \"content_id\": \"e3ee57e136a68c2f883f40424c7e266c8b17d97d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2539,\n \"license_type\": \"permissive\",\n \"max_line_length\": 94,\n \"num_lines\": 122,\n \"path\": \"/mountains/utils/__init__.py\",\n \"repo_name\": \"restran/mountains\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Created by restran on 2017/9/15\\nfrom __future__ import unicode_literals, absolute_import, print_function\\nfrom .. import force_text, text_type, binary_type\\n\\nimport itertools\\n\\n__all__ = ['grouper', 'any_none', 'any_in', 'text_type_dict', 'PrintCollector', 'ObjectDict']\\n\\n\\ndef grouper(iterable, size):\\n \\\"\\\"\\\"\\n >>> a = grouper([1,2,3,4,5,6,7],2)\\n >>> list(a)\\n [(1, 2), (3, 4), (5, 6), (7,)]\\n :param iterable:\\n :param size:\\n :return:\\n \\\"\\\"\\\"\\n # http://stackoverflow.com/a/8991553\\n it = iter(iterable)\\n if size <= 0:\\n yield it\\n return\\n while True:\\n chunk = tuple(itertools.islice(it, size))\\n if not chunk:\\n return\\n yield chunk\\n\\n\\ndef any_none(*params):\\n \\\"\\\"\\\"\\n >>> a = None\\n >>> b = 'abc'\\n >>> any_none(a, b)\\n True\\n >>> any_none(b)\\n False\\n \\\"\\\"\\\"\\n return any(map(lambda x: x is None, params))\\n\\n\\ndef any_empty(*params):\\n \\\"\\\"\\\"\\n >>> a = None\\n >>> b = 'abc'\\n >>> any_none(a, b)\\n True\\n >>> any_none(b)\\n False\\n \\\"\\\"\\\"\\n return any(map(lambda x: x in (None, '', False) or (iterable(x) and len(x) == 0), params))\\n\\n\\ndef any_in(obj, *params):\\n \\\"\\\"\\\"\\n >>> any_in(['a', ''], '')\\n True\\n >>> any_in(['a', None], '', None)\\n True\\n \\\"\\\"\\\"\\n return any(map(lambda x: x in obj, params))\\n\\n\\ndef text_type_dict(dict_data):\\n if not isinstance(dict_data, dict):\\n raise TypeError\\n\\n new_dict = {}\\n for k, v in dict_data.items():\\n if isinstance(k, binary_type):\\n k = k.decode('utf-8')\\n if isinstance(v, binary_type):\\n v = v.decode('utf-8')\\n\\n new_dict[k] = v\\n\\n return new_dict\\n\\n\\nclass PrintCollector(object):\\n def __init__(self):\\n self.collector = []\\n\\n def print(self, output):\\n self.collector.append(output)\\n print(text_type(output))\\n\\n def all_output(self):\\n return '\\\\n'.join([force_text(t) for t in self.collector])\\n\\n def smart_output(self, result=None, verbose=True):\\n if verbose:\\n return self.all_output()\\n\\n if result is None:\\n result = self.collector\\n\\n return result\\n\\n\\nclass ObjectDict(dict):\\n \\\"\\\"\\\"Makes a dictionary behave like an object, with attribute-style access.\\n \\\"\\\"\\\"\\n\\n def __getattr__(self, name):\\n try:\\n return self[name]\\n except KeyError:\\n return None\\n\\n def __setattr__(self, name, value):\\n self[name] = value\\n\\n\\ndef main():\\n print(any_none(1, 2, 3, None))\\n\\n\\nif __name__ == '__main__':\\n main()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":39,"string":"39"}}},{"rowIdx":2984176,"cells":{"repo_name":{"kind":"string","value":"ismael094/Practicas"},"repo_url":{"kind":"string","value":"https://github.com/ismael094/Practicas"},"snapshot_id":{"kind":"string","value":"dbba987c273cc0f9a55abe67f5c98464d7a7583e"},"revision_id":{"kind":"string","value":"0b09c1435528e3e9edd021250baa56a0d2a5bd89"},"directory_id":{"kind":"string","value":"ef6d885b0ab90beb4f78f6e5cec1cfce5fc9c325"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-01T05:10:31.209086","string":"2021-01-01T05:10:31.209086"},"revision_date":{"kind":"timestamp","value":"2016-04-12T05:05:31","string":"2016-04-12T05:05:31"},"committer_date":{"kind":"timestamp","value":"2016-04-12T05:05:31","string":"2016-04-12T05:05:31"},"github_id":{"kind":"number","value":56043910,"string":"56,043,910"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6909090876579285,"alphanum_fraction":0.6909090876579285,"avg_line_length":10,"blob_id":"26e6f625fd9726b9eb463fe35b4574818f98ec02","content_id":"cd857bd9c7b8e89d767476efc75c29e7e67719fb","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"SQL","length_bytes":3410,"license_type":"no_license","max_line_length":26,"num_lines":310,"path":"/Dump/prueba.sql","repo_name":"ismael094/Practicas","src_encoding":"UTF-8","text":"delimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\ndelimiter $$ \n create procedure create()\nbegin\n\nend $$\n"},{"alpha_fraction":0.5972199440002441,"alphanum_fraction":0.6014396548271179,"avg_line_length":33.14124298095703,"blob_id":"6bef54c8821e3f264e5ec72528f5b4bc9f8c857f","content_id":"dd3cdd6790103683f1e7c39abf0836f30715428d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":12086,"license_type":"no_license","max_line_length":123,"num_lines":354,"path":"/Dump/controllers.py","repo_name":"ismael094/Practicas","src_encoding":"UTF-8","text":"\"\"\"\nModels:\n\"\"\"\n\nclass Camera(object):\n def __init__(self):\n self.id = None\n self.instrument = None\n self.camera = None\n self.gcs_component = None\n self.display_name = None\n self.archive_directory = None\n self.active = None\n\nclass ObservationMode(object):\n def __init__(self):\n id = None\n mode = None\n id_camera = None \n\nclass Frame(object):\n def __init__(self):\n id = None\n id_camera = None\n id_observation_mode = None\n observation_date = None\n observation_date_microsecond = None\n exposition_time = None\n state = None\n is_raw = None\n id_program = None\n id_observation_block = None\n path = None\n id_principal_investigator = None\n radeg = None\n decdeg = None\n\nclass HeaderDefinition(object):\n def __init__(self):\n id = None\n comment = None\n name = None\n data_type = None\n visible = None\n id_observation_mode = None\n\nclass Header(object):\n def __init__(self):\n id = None\n id_header_definition = None\n id_frame = None\n extension = None\n string_value = None\n long_value = None\n double_value = None\n\n\"\"\"\nDAO\n\"\"\" \nclass CameraDAO(object):\n def __init__(cursor):\n cursor = cursor\n def getId(camera):\n cursor.execute(\"select id from camera where instrument = '\"+camera.instrument+\"'\")\n results = cursor.fetchall()\n for row in results:\n id_camera = row[0]\n camera.id = id_camera\n\nclass ObservationModeDAO(object):\n def __init__(cursor):\n cursor = cursor\n def getId(observationMode):\n cursor.execute(\"select id, id_camera from observation_mode \\\n where mode = '\"+mode+\"'\")\n results = cursor.fetchall()\n for row1 in results:\n observationMode.id = row1[0]\n observationMode.mode = mode\n observationMode.id_camera = row1[1]\n return True\n break\n else:\n self.id = False\n def save(observationMode):\n if cursor.execute(\"insert into observation_mode(mode,id_camera) \\\n values (%s,%s)\", (observationMode.mode, observationMode.id_camera)):\n return True\n else:\n return False \n\nclass FrameDAO(object):\n def __init__(cursor):\n cursor = cursor\n def save(frame):\n if cursor.execute(\"insert into frame(id_camera, id_observation_mode, \\\n observation_date, observation_date_microsecond, exposition_time,state,is_raw, \\\n id_program, id_observation_block,path, id_principal_investigator, decdeg, \\\n radeg) values (%s,%s,%s,%s,%s,%s, %s, %s, %s, %s, %s, %s, %s)\", \\\n (frame.id_camera, frame.id_observation_mode, \\\n frame.observation_date, frame.observation_date_microsecond, \\\n frame.exposition_time, frame.state, frame.is_raw, \\\n frame.program,frame.blockId,frame.path,\\\n frame.id_principal_investigator, frame.decdeg,frame.radeg)):\n frame.id = cursor.lastrowid\n logging.debug('The frame %s has been insert correctly'+now, frame.path)\n return True\n else:\n logging.warning('Error while inserting frame %s '+now, frame.path)\n return False\n\nclass HeaderDefinitionDAO(object):\n def __init__(cursor):\n cursor = cursor\n def getId(headerDefinition):\n cursor.execute(\"select id from header_definition where comment = %s and \\\n name= %s and data_type = %s and id_observation_mode = %s\", \\\n (headerDefinition.comment,headerDefinition.name, headerDefinition.data_type, headerDefinition.id_observation_mode))\n results = cursor.fetchall()\n if len(results) > 0:\n for row in results:\n headerDefinition.id = row[0]\n break\n else:\n return False\n def save(headerDefinition):\n if cursor.execute(\"insert into header_definition(comment, name, data_type, \\\n visible, id_observation_mode) values (%s,%s,%s,1,%s)\", (headerDefinition.comment, \\\n headerDefinition.name, headerDefinition.data_type, headerDefinition.id_observation_mode)):\n logging.debug('Created a new header definition called %s at %s' %\\\n (headerDefinition.name,now))\n return True\n else:\n logging.warning('Error while creating a new header definition %s'+now)\n return False\nclass HeaderDAO(object):\n def __init__(cursor):\n cursor = cursor\n def save(header):\n if cursor.execute(\"insert into header(id_header_definition, id_frame, \\\n extension, \"+header.type+\") values (%s,%s,%s,%s)\", \\\n (header.id_header_definition, header.id_frame, header.extension, header.value)):\n return True\n else:\n False\n\n\"\"\"\nSet\n\"\"\"\ndef setCamera(camera,instrument):\n camera.instrument = instrument\ndef setObservationMode(observationMode,mode,idCamera):\n observationMode.id = None\n observationMode.mode = mode\n observationMode.id_camera = idCamera\ndef setFrame(frame,data,path):\n mode = data[0]['OBSMODE'][0]\n camera = CameraDAO()\n camera.getId(data[0]['INSTRUME'][0])\n observationMode = ObservationModeDAO()\n observationMode.getId(mode)\n if observationMode.id == False:\n setObservationMode(observationMode, mode, camera.id)\n observationMode.save()\n observationMode.getId(mode)\n logging.info('A new Observation Mode named %s has been created %s' % \\\n (mode,now))\n raw = isRaw(path)\n program = checkProgramKey(data, path)\n frame.id = None\n frame.id_camera = camera.id\n frame.id_observation_mode = observationMode.id\n frame.observation_date = data[0]['DATE'][0]\n frame.observation_date_microsecond = 0\n frame.exposition_time = data[0]['ELAPSED'][0]\n frame.state = 'COMMITED'\n frame.is_raw = raw\n frame.program = data[0][program][0]\n frame.blockId = data[0]['GTCOBID'][0]\n frame.path = path\n frame.id_principal_investigator = data[0]['PI'][0]\n frame.decdeg = data[0]['DECDEG'][0]\n frame.radeg = data[0]['RADEG'][0] \n if frame.blockId == '':\n logging.warning('Block ID is empty in %s %s' % (path, now))\n return frame\n\ndef setHeaderDefinition(headerDefinitionData, headerData):\n headerDefinitionData.id = None\n headerDefinitionData.comment = headerData[0]\n headerDefinitionData.name = headerData[1]\n headerDefinitionData.data_type = headerData[2]\n headerDefinitionData.visible = 1\n headerDefinitionData.id_observation_mode = headerData[3]\n\ndef setHeader(headerData, headerList):\n headerData.id = None\n headerData.id_header_definition = headerList[0]\n headerData.id_frame = headerList[1]\n headerData.extension = headerList[2]\n headerData.type = headerList[3]\n headerData.value = headerList[4]\n\n\"\"\"\nChecks\n\"\"\"\n\ndef isRaw(path):\n path_split = path.rsplit('/')[1:]\n if path_split[6] == 'raw':\n is_raw=1\n else:\n is_raw=0\n return is_raw\n\ndef checkProgramKey(data, path):\n try:\n program_key = 'GTCPRGID'\n data[0][program_key]\n except KeyError:\n program_key = 'GTCPROGI'\n data[0][program_key]\n logging.warning('The frame located in %s has a ProgramId \\\n key ambiguous %s' % (path, now))\n if data[0][program_key][0] == '':\n logging.warning('%s empty in the frame located in %s %s' % \\\n (program_key, path,now))\n return program_key\n\ndef getKeywordType(data):\n if type(data) == bool:\n final_type = 'LONG'\n elif type(data) == str:\n final_type = 'STRING'\n elif type(data) == float:\n final_type = 'DOUBLE'\n elif type(data) == long:\n final_type = 'LONG'\n elif type(data) == int:\n final_type = 'LONG'\n else:\n final_type = 'LONG'\n return final_type\ndef getInsertValue(data):\n if type(data) == bool:\n value = 'long_value'\n elif type(data) == str:\n value = 'string_value'\n elif type(data) == float:\n value = 'double_value'\n elif type(data) == long:\n value = 'long_value'\n elif type(data) == int:\n value = 'long_value'\n else:\n value = 'long_value'\n return value\n\n\"\"\"\nControllers\n\"\"\"\nclass Controller(object):\n def db(self):\n self.db = MySQLdb.connect(\"localhost\", \"root\", \"\", \"datafactory\")\n self.cursor = db.cursor()\n def DAO(self):\n self.frameDAO = FrameDAO(self.cursor)\n self.cameraDAO = CameraDAO(sel.cursor)\n self.observationModeDAO = ObservationModeDAO(sel.cursor)\n self.headerDefinitionDAO = HeaderDefinitionDAO(sel.cursor)\n self.headerDAO = HeaderDAO(sel.cursor)\n def startScript(self,args):\n route = args.route\n scan = args.scan\n default = args.default\n filepath, fileextension = os.path.splitext(route)\n if scan == True and fileextension == '': \n start = fileScaner(default, route)\n elif scan != True and fileextension != '':\n start = startDumpProcess(route)\n db.commit()\n\n def fileScaner(self,pathRoot,path1):\n path = pathRoot+path1\n yu = glob.glob(path)\n for dire in yu:\n for root, dirs, files in os.walk(dire):\n for fil in files:\n if fil.endswith(\".fits\"):\n final_root = (os.path.join(root,fil))\n Open = startDumpProcess(final_root)\n db.commit()\n\n def startDumpProcess(self,path):\n data = getDataFitsImages(path)\n dump = dataBasePopulator(data, path)\n \n def getDataFitsImages(self,path):\n image = fits.open(path)\n data = []\n for extension in range(len(image)):\n datas = {}\n for keyword in image[extension].header:\n datas[keyword] = [image[extension].header[keyword],\\\n image[extension].header.comments[keyword]]\n data.append(datas)\n image.close()\n return data\n\n def dataBasePopulator(self,data, path):\n frameData = Frame() \n setFrame(frameData, data, path)\n self.frameDAO.save(frameData)\n headerDefinition = HeaderDefinition()\n header = Header()\n for extension in range(len(data)):\n for keyword in data[extension]:\n value = data[extension][keyword][0]\n observationModeId = frameData.id_observation_mode\n keywordType = getKeywordType(value)\n headerDefList = [data[extension][keyword][1],keyword,\\\n keywordType,observationModeId]\n setHeaderDefinition(headerDefinition,headerDefList)\n if self.headerDefinitionDAO.getId(headerDefinition) == False:\n self.headerDefinitionDAO.save(headerDefinition)\n self.headerDefinitionDAO.getId(headerDefinition)\n keywordInsertValue = getInsertValue(value)\n headerList = [self.headerDefinition.id, frameData.id, extension,\\\n keywordInsertValue, value]\n setHeader(header,headerList)\n self.headerDAO.save(headerData)\n\nif __name__ == '__main__':\n from astropy.io import fits\n import argparse\n import os\n import time\n import logging\n import sys\n import MySQLdb\n import glob\n \n logging.basicConfig(filename='/home/log.log',level=logging.DEBUG)\n now = time.strftime(\"%c\")\n parser = argparse.ArgumentParser(description=\"Do you wish to scan?\")\n parser.add_argument(\"-r\", dest='route', action='store',help='Route\\\n of the instrument and the date that you want to dump')\n parser.add_argument(\"-s\", dest='scan', action='store',\\\n help='Scan files in a directory', default=True)\n parser.add_argument(\"-d\", dest='default', action='store',\\\n help='Use default route', default='/scidb/framedb/')\n args = parser.parse_args()\n p1 = Controller(args)\n db.close() "},{"alpha_fraction":0.5414012670516968,"alphanum_fraction":0.5414012670516968,"avg_line_length":23.647058486938477,"blob_id":"c5f1d1a0977fe5c70ab8c6ea3f5999cb0911118c","content_id":"71c93e6f35c35d3a476ea283fdbc5f3166c32034","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1256,"license_type":"no_license","max_line_length":43,"num_lines":51,"path":"/Dump/models.py","repo_name":"ismael094/Practicas","src_encoding":"UTF-8","text":"class Camera(object):\n def __init__(self):\n self.id = None\n self.instrument = None\n self.camera = None\n self.gcs_component = None\n self.display_name = None\n self.archive_directory = None\n self.active = None\n\nclass Observation_mode(object):\n def __init__(self):\n id = None\n mode = None\n id_camera = None \n\nclass Frame(object):\n def __init__(self):\n id = None\n id_camera = None\n id_observation_mode = None\n observation_date = None\n observation_date_microsecond = None\n exposition_time = None\n state = None\n is_raw = None\n id_program = None\n id_observation_block = None\n path = None\n id_principal_investigator = None\n radeg = None\n decdeg = None\n\nclass HeaderDefinition(object):\n def __init__(self):\n id = None\n comment = None\n name = None\n data_type = None\n visible = None\n id_observation_mode = None\n\nclass Header(object):\n def __init__(self):\n id = None\n id_header_definition = None\n id_frame = None\n extension = None\n string_value = None\n long_value = None\n double_value = None"}],"string":"[\n {\n \"alpha_fraction\": 0.6909090876579285,\n \"alphanum_fraction\": 0.6909090876579285,\n \"avg_line_length\": 10,\n \"blob_id\": \"26e6f625fd9726b9eb463fe35b4574818f98ec02\",\n \"content_id\": \"cd857bd9c7b8e89d767476efc75c29e7e67719fb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"SQL\",\n \"length_bytes\": 3410,\n \"license_type\": \"no_license\",\n \"max_line_length\": 26,\n \"num_lines\": 310,\n \"path\": \"/Dump/prueba.sql\",\n \"repo_name\": \"ismael094/Practicas\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"delimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\ndelimiter $$ \\n create procedure create()\\nbegin\\n\\nend $$\\n\"\n },\n {\n \"alpha_fraction\": 0.5972199440002441,\n \"alphanum_fraction\": 0.6014396548271179,\n \"avg_line_length\": 33.14124298095703,\n \"blob_id\": \"6bef54c8821e3f264e5ec72528f5b4bc9f8c857f\",\n \"content_id\": \"dd3cdd6790103683f1e7c39abf0836f30715428d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 12086,\n \"license_type\": \"no_license\",\n \"max_line_length\": 123,\n \"num_lines\": 354,\n \"path\": \"/Dump/controllers.py\",\n \"repo_name\": \"ismael094/Practicas\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"\\nModels:\\n\\\"\\\"\\\"\\n\\nclass Camera(object):\\n def __init__(self):\\n self.id = None\\n self.instrument = None\\n self.camera = None\\n self.gcs_component = None\\n self.display_name = None\\n self.archive_directory = None\\n self.active = None\\n\\nclass ObservationMode(object):\\n def __init__(self):\\n id = None\\n mode = None\\n id_camera = None \\n\\nclass Frame(object):\\n def __init__(self):\\n id = None\\n id_camera = None\\n id_observation_mode = None\\n observation_date = None\\n observation_date_microsecond = None\\n exposition_time = None\\n state = None\\n is_raw = None\\n id_program = None\\n id_observation_block = None\\n path = None\\n id_principal_investigator = None\\n radeg = None\\n decdeg = None\\n\\nclass HeaderDefinition(object):\\n def __init__(self):\\n id = None\\n comment = None\\n name = None\\n data_type = None\\n visible = None\\n id_observation_mode = None\\n\\nclass Header(object):\\n def __init__(self):\\n id = None\\n id_header_definition = None\\n id_frame = None\\n extension = None\\n string_value = None\\n long_value = None\\n double_value = None\\n\\n\\\"\\\"\\\"\\nDAO\\n\\\"\\\"\\\" \\nclass CameraDAO(object):\\n def __init__(cursor):\\n cursor = cursor\\n def getId(camera):\\n cursor.execute(\\\"select id from camera where instrument = '\\\"+camera.instrument+\\\"'\\\")\\n results = cursor.fetchall()\\n for row in results:\\n id_camera = row[0]\\n camera.id = id_camera\\n\\nclass ObservationModeDAO(object):\\n def __init__(cursor):\\n cursor = cursor\\n def getId(observationMode):\\n cursor.execute(\\\"select id, id_camera from observation_mode \\\\\\n where mode = '\\\"+mode+\\\"'\\\")\\n results = cursor.fetchall()\\n for row1 in results:\\n observationMode.id = row1[0]\\n observationMode.mode = mode\\n observationMode.id_camera = row1[1]\\n return True\\n break\\n else:\\n self.id = False\\n def save(observationMode):\\n if cursor.execute(\\\"insert into observation_mode(mode,id_camera) \\\\\\n values (%s,%s)\\\", (observationMode.mode, observationMode.id_camera)):\\n return True\\n else:\\n return False \\n\\nclass FrameDAO(object):\\n def __init__(cursor):\\n cursor = cursor\\n def save(frame):\\n if cursor.execute(\\\"insert into frame(id_camera, id_observation_mode, \\\\\\n observation_date, observation_date_microsecond, exposition_time,state,is_raw, \\\\\\n id_program, id_observation_block,path, id_principal_investigator, decdeg, \\\\\\n radeg) values (%s,%s,%s,%s,%s,%s, %s, %s, %s, %s, %s, %s, %s)\\\", \\\\\\n (frame.id_camera, frame.id_observation_mode, \\\\\\n frame.observation_date, frame.observation_date_microsecond, \\\\\\n frame.exposition_time, frame.state, frame.is_raw, \\\\\\n frame.program,frame.blockId,frame.path,\\\\\\n frame.id_principal_investigator, frame.decdeg,frame.radeg)):\\n frame.id = cursor.lastrowid\\n logging.debug('The frame %s has been insert correctly'+now, frame.path)\\n return True\\n else:\\n logging.warning('Error while inserting frame %s '+now, frame.path)\\n return False\\n\\nclass HeaderDefinitionDAO(object):\\n def __init__(cursor):\\n cursor = cursor\\n def getId(headerDefinition):\\n cursor.execute(\\\"select id from header_definition where comment = %s and \\\\\\n name= %s and data_type = %s and id_observation_mode = %s\\\", \\\\\\n (headerDefinition.comment,headerDefinition.name, headerDefinition.data_type, headerDefinition.id_observation_mode))\\n results = cursor.fetchall()\\n if len(results) > 0:\\n for row in results:\\n headerDefinition.id = row[0]\\n break\\n else:\\n return False\\n def save(headerDefinition):\\n if cursor.execute(\\\"insert into header_definition(comment, name, data_type, \\\\\\n visible, id_observation_mode) values (%s,%s,%s,1,%s)\\\", (headerDefinition.comment, \\\\\\n headerDefinition.name, headerDefinition.data_type, headerDefinition.id_observation_mode)):\\n logging.debug('Created a new header definition called %s at %s' %\\\\\\n (headerDefinition.name,now))\\n return True\\n else:\\n logging.warning('Error while creating a new header definition %s'+now)\\n return False\\nclass HeaderDAO(object):\\n def __init__(cursor):\\n cursor = cursor\\n def save(header):\\n if cursor.execute(\\\"insert into header(id_header_definition, id_frame, \\\\\\n extension, \\\"+header.type+\\\") values (%s,%s,%s,%s)\\\", \\\\\\n (header.id_header_definition, header.id_frame, header.extension, header.value)):\\n return True\\n else:\\n False\\n\\n\\\"\\\"\\\"\\nSet\\n\\\"\\\"\\\"\\ndef setCamera(camera,instrument):\\n camera.instrument = instrument\\ndef setObservationMode(observationMode,mode,idCamera):\\n observationMode.id = None\\n observationMode.mode = mode\\n observationMode.id_camera = idCamera\\ndef setFrame(frame,data,path):\\n mode = data[0]['OBSMODE'][0]\\n camera = CameraDAO()\\n camera.getId(data[0]['INSTRUME'][0])\\n observationMode = ObservationModeDAO()\\n observationMode.getId(mode)\\n if observationMode.id == False:\\n setObservationMode(observationMode, mode, camera.id)\\n observationMode.save()\\n observationMode.getId(mode)\\n logging.info('A new Observation Mode named %s has been created %s' % \\\\\\n (mode,now))\\n raw = isRaw(path)\\n program = checkProgramKey(data, path)\\n frame.id = None\\n frame.id_camera = camera.id\\n frame.id_observation_mode = observationMode.id\\n frame.observation_date = data[0]['DATE'][0]\\n frame.observation_date_microsecond = 0\\n frame.exposition_time = data[0]['ELAPSED'][0]\\n frame.state = 'COMMITED'\\n frame.is_raw = raw\\n frame.program = data[0][program][0]\\n frame.blockId = data[0]['GTCOBID'][0]\\n frame.path = path\\n frame.id_principal_investigator = data[0]['PI'][0]\\n frame.decdeg = data[0]['DECDEG'][0]\\n frame.radeg = data[0]['RADEG'][0] \\n if frame.blockId == '':\\n logging.warning('Block ID is empty in %s %s' % (path, now))\\n return frame\\n\\ndef setHeaderDefinition(headerDefinitionData, headerData):\\n headerDefinitionData.id = None\\n headerDefinitionData.comment = headerData[0]\\n headerDefinitionData.name = headerData[1]\\n headerDefinitionData.data_type = headerData[2]\\n headerDefinitionData.visible = 1\\n headerDefinitionData.id_observation_mode = headerData[3]\\n\\ndef setHeader(headerData, headerList):\\n headerData.id = None\\n headerData.id_header_definition = headerList[0]\\n headerData.id_frame = headerList[1]\\n headerData.extension = headerList[2]\\n headerData.type = headerList[3]\\n headerData.value = headerList[4]\\n\\n\\\"\\\"\\\"\\nChecks\\n\\\"\\\"\\\"\\n\\ndef isRaw(path):\\n path_split = path.rsplit('/')[1:]\\n if path_split[6] == 'raw':\\n is_raw=1\\n else:\\n is_raw=0\\n return is_raw\\n\\ndef checkProgramKey(data, path):\\n try:\\n program_key = 'GTCPRGID'\\n data[0][program_key]\\n except KeyError:\\n program_key = 'GTCPROGI'\\n data[0][program_key]\\n logging.warning('The frame located in %s has a ProgramId \\\\\\n key ambiguous %s' % (path, now))\\n if data[0][program_key][0] == '':\\n logging.warning('%s empty in the frame located in %s %s' % \\\\\\n (program_key, path,now))\\n return program_key\\n\\ndef getKeywordType(data):\\n if type(data) == bool:\\n final_type = 'LONG'\\n elif type(data) == str:\\n final_type = 'STRING'\\n elif type(data) == float:\\n final_type = 'DOUBLE'\\n elif type(data) == long:\\n final_type = 'LONG'\\n elif type(data) == int:\\n final_type = 'LONG'\\n else:\\n final_type = 'LONG'\\n return final_type\\ndef getInsertValue(data):\\n if type(data) == bool:\\n value = 'long_value'\\n elif type(data) == str:\\n value = 'string_value'\\n elif type(data) == float:\\n value = 'double_value'\\n elif type(data) == long:\\n value = 'long_value'\\n elif type(data) == int:\\n value = 'long_value'\\n else:\\n value = 'long_value'\\n return value\\n\\n\\\"\\\"\\\"\\nControllers\\n\\\"\\\"\\\"\\nclass Controller(object):\\n def db(self):\\n self.db = MySQLdb.connect(\\\"localhost\\\", \\\"root\\\", \\\"\\\", \\\"datafactory\\\")\\n self.cursor = db.cursor()\\n def DAO(self):\\n self.frameDAO = FrameDAO(self.cursor)\\n self.cameraDAO = CameraDAO(sel.cursor)\\n self.observationModeDAO = ObservationModeDAO(sel.cursor)\\n self.headerDefinitionDAO = HeaderDefinitionDAO(sel.cursor)\\n self.headerDAO = HeaderDAO(sel.cursor)\\n def startScript(self,args):\\n route = args.route\\n scan = args.scan\\n default = args.default\\n filepath, fileextension = os.path.splitext(route)\\n if scan == True and fileextension == '': \\n start = fileScaner(default, route)\\n elif scan != True and fileextension != '':\\n start = startDumpProcess(route)\\n db.commit()\\n\\n def fileScaner(self,pathRoot,path1):\\n path = pathRoot+path1\\n yu = glob.glob(path)\\n for dire in yu:\\n for root, dirs, files in os.walk(dire):\\n for fil in files:\\n if fil.endswith(\\\".fits\\\"):\\n final_root = (os.path.join(root,fil))\\n Open = startDumpProcess(final_root)\\n db.commit()\\n\\n def startDumpProcess(self,path):\\n data = getDataFitsImages(path)\\n dump = dataBasePopulator(data, path)\\n \\n def getDataFitsImages(self,path):\\n image = fits.open(path)\\n data = []\\n for extension in range(len(image)):\\n datas = {}\\n for keyword in image[extension].header:\\n datas[keyword] = [image[extension].header[keyword],\\\\\\n image[extension].header.comments[keyword]]\\n data.append(datas)\\n image.close()\\n return data\\n\\n def dataBasePopulator(self,data, path):\\n frameData = Frame() \\n setFrame(frameData, data, path)\\n self.frameDAO.save(frameData)\\n headerDefinition = HeaderDefinition()\\n header = Header()\\n for extension in range(len(data)):\\n for keyword in data[extension]:\\n value = data[extension][keyword][0]\\n observationModeId = frameData.id_observation_mode\\n keywordType = getKeywordType(value)\\n headerDefList = [data[extension][keyword][1],keyword,\\\\\\n keywordType,observationModeId]\\n setHeaderDefinition(headerDefinition,headerDefList)\\n if self.headerDefinitionDAO.getId(headerDefinition) == False:\\n self.headerDefinitionDAO.save(headerDefinition)\\n self.headerDefinitionDAO.getId(headerDefinition)\\n keywordInsertValue = getInsertValue(value)\\n headerList = [self.headerDefinition.id, frameData.id, extension,\\\\\\n keywordInsertValue, value]\\n setHeader(header,headerList)\\n self.headerDAO.save(headerData)\\n\\nif __name__ == '__main__':\\n from astropy.io import fits\\n import argparse\\n import os\\n import time\\n import logging\\n import sys\\n import MySQLdb\\n import glob\\n \\n logging.basicConfig(filename='/home/log.log',level=logging.DEBUG)\\n now = time.strftime(\\\"%c\\\")\\n parser = argparse.ArgumentParser(description=\\\"Do you wish to scan?\\\")\\n parser.add_argument(\\\"-r\\\", dest='route', action='store',help='Route\\\\\\n of the instrument and the date that you want to dump')\\n parser.add_argument(\\\"-s\\\", dest='scan', action='store',\\\\\\n help='Scan files in a directory', default=True)\\n parser.add_argument(\\\"-d\\\", dest='default', action='store',\\\\\\n help='Use default route', default='/scidb/framedb/')\\n args = parser.parse_args()\\n p1 = Controller(args)\\n db.close() \"\n },\n {\n \"alpha_fraction\": 0.5414012670516968,\n \"alphanum_fraction\": 0.5414012670516968,\n \"avg_line_length\": 23.647058486938477,\n \"blob_id\": \"c5f1d1a0977fe5c70ab8c6ea3f5999cb0911118c\",\n \"content_id\": \"71c93e6f35c35d3a476ea283fdbc5f3166c32034\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1256,\n \"license_type\": \"no_license\",\n \"max_line_length\": 43,\n \"num_lines\": 51,\n \"path\": \"/Dump/models.py\",\n \"repo_name\": \"ismael094/Practicas\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"class Camera(object):\\n def __init__(self):\\n self.id = None\\n self.instrument = None\\n self.camera = None\\n self.gcs_component = None\\n self.display_name = None\\n self.archive_directory = None\\n self.active = None\\n\\nclass Observation_mode(object):\\n def __init__(self):\\n id = None\\n mode = None\\n id_camera = None \\n\\nclass Frame(object):\\n def __init__(self):\\n id = None\\n id_camera = None\\n id_observation_mode = None\\n observation_date = None\\n observation_date_microsecond = None\\n exposition_time = None\\n state = None\\n is_raw = None\\n id_program = None\\n id_observation_block = None\\n path = None\\n id_principal_investigator = None\\n radeg = None\\n decdeg = None\\n\\nclass HeaderDefinition(object):\\n def __init__(self):\\n id = None\\n comment = None\\n name = None\\n data_type = None\\n visible = None\\n id_observation_mode = None\\n\\nclass Header(object):\\n def __init__(self):\\n id = None\\n id_header_definition = None\\n id_frame = None\\n extension = None\\n string_value = None\\n long_value = None\\n double_value = None\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":3,"string":"3"}}},{"rowIdx":2984177,"cells":{"repo_name":{"kind":"string","value":"Niranj1997/atm-application"},"repo_url":{"kind":"string","value":"https://github.com/Niranj1997/atm-application"},"snapshot_id":{"kind":"string","value":"694b7eb24107ee490aa8ed61e1b0f21fdefe7630"},"revision_id":{"kind":"string","value":"ba191e909ee88fd000ed8b61182d716fdcfb33b9"},"directory_id":{"kind":"string","value":"55e8c11f04e184d206a8436dc03535e1cd977e1d"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-06-19T21:10:11.999727","string":"2022-06-19T21:10:11.999727"},"revision_date":{"kind":"timestamp","value":"2020-05-06T14:56:35","string":"2020-05-06T14:56:35"},"committer_date":{"kind":"timestamp","value":"2020-05-06T14:56:35","string":"2020-05-06T14:56:35"},"github_id":{"kind":"number","value":261789873,"string":"261,789,873"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6666666865348816,"alphanum_fraction":0.6666666865348816,"avg_line_length":19,"blob_id":"d6da41d2394a49a0d12e828bb1a11e51ccb0ee61","content_id":"b4e5bb76d26254f694c2d218d62641fdd30d95de","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":21,"license_type":"no_license","max_line_length":19,"num_lines":1,"path":"/README.md","repo_name":"Niranj1997/atm-application","src_encoding":"UTF-8","text":"\"# atm-application\" \n"},{"alpha_fraction":0.46318137645721436,"alphanum_fraction":0.5113404393196106,"avg_line_length":41.64677429199219,"blob_id":"4a2685dcc816d105dd3ea4be749e7bbf0d2946ef","content_id":"c36aab9b102ca81943311cdd31d40d8e6deeb1e1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":26454,"license_type":"no_license","max_line_length":446,"num_lines":620,"path":"/atm.py","repo_name":"Niranj1997/atm-application","src_encoding":"UTF-8","text":"from flask import Flask,render_template,request\napp = Flask(__name__) #InitiateFlask\napp.config['TEMPLATES_AUTO_RELOAD'] = True\ntwok=0\nfiveh=0\nh=0\natm=0\np1=101\np2=102\np3=103\np4=104\np5=105\npin101=1000\npin102=1111\npin102=2222\npin103=3333\npin104=4444\npin105=5555\nbal101=100000\nbal102=200000\nbal103=150000\nbal103=175000\nbal104=75000\nbal105=125000\nrem=0\nx=0\ny=0\nz=0\namt1=0\namt2=0\namt3=0\nch=0\nacc=0\nf=open('templates/101.html','w')\nmessage=\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\"\nf.write(message)\nf.close()\nf=open('templates/102.html','w')\nmessage=\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\"\nf.write(message)\nf.close()\nf=open('templates/103.html','w')\nmessage=\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\"\nf.write(message)\nf.close()\nf=open('templates/104.html','w')\nmessage=\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\"\nf.write(message)\nf.close()\nf=open('templates/105.html','w')\nmessage=\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\"\nf.write(message)\nf.close()\n@app.route('/') #WelcomeScreen\ndef Welcome(): \n return render_template('Welcome.html')\n@app.route('/Admin') #AdminPage\ndef Admin(): \n return render_template('Admin.html')\n@app.route('/Admin/LoadMoney')\ndef load():\n return render_template('LoadMoney.html')\n@app.route('/Load')\ndef Load():\n if 'den' in request.args:\n den=request.args['den']\n if 'qty' in request.args:\n qty=request.args['qty']\n LoadMoney(den,qty)\n return \"Successfully Loaded to ATM\"\ndef LoadMoney(den,qty): #AddStockFunction\n global twok,fiveh,h\n if den=='2000':\n twok+=int(qty)\n elif den=='500':\n fiveh+=int(qty)\n elif den=='100':\n h+=int(qty)\n@app.route('/Admin/ViewMoney')\ndef view():\n global atm\n atm=(2000*twok)+(500*fiveh)+(100*h)\n load = open('templates/ViewMoney.html','w')\n txt= \"<html><body><center><h1>Welcome</h1><br><h2>View Money Left</h2><br>2000 : \"+str(twok)+\"<br> 500 : \"+str(fiveh)+\"<br> 100 : \"+str(h)+\"<br> Net Amount : Rs.\"+str(atm)+\"</center></body></html>\"\n load.write(txt)\n load.close()\n return render_template('ViewMoney.html')\n@app.route('/Admin/Details')\ndef details():\n detail = open('templates/Details.html','w')\n txt=\"<html><body><center><h1>Welcome</h1><br><h2>View Customer Details</h2><br>AccNum----AccHolder----PIN----AccBalance<br>\"+str(p1)+\"---p1---\"+str(pin101)+\"---Rs.\"+str(bal101)+\"<br>\"+str(p2)+\"---p2---\"+str(pin102)+\"---Rs.\"+str(bal102)+\"<br>\"+str(p3)+\"---p3---\"+str(pin103)+\"---Rs.\"+str(bal103)+\"<br>\"+str(p4)+\"---p4---\"+str(pin104)+\"---Rs.\"+str(bal104)+\"<br>\"+str(p5)+\"---p5---\"+str(pin105)+\"---Rs.\"+str(bal105)+\"<br></center></body></html>\"\n detail.write(txt)\n detail.close()\n return render_template('Details.html')\n@app.route('/User')\ndef User():\n return render_template('User.html')\n@app.route('/User/CheckBalance')\ndef CheckBalance():\n return render_template('CheckBalance.html')\n@app.route('/Check')\ndef Check():\n if 'accnum' in request.args:\n accnum=request.args['accnum']\n if 'pin' in request.args:\n pin=request.args['pin']\n \n if accnum=='101':\n if pin=='1000':\n return \"Your Account Balance is \"+str(bal101)\n else:\n return \"Incorrect PIN\"\n if accnum=='102':\n if pin=='1111':\n return \"Your Account Balance is \"+str(bal102)\n else:\n return \"Incorrect PIN\"\n if accnum=='103':\n if pin=='2222':\n return \"Your Account Balance is \"+str(bal103)\n else:\n return \"Incorrect PIN\"\n if accnum=='104':\n if pin=='3333':\n return \"Your Account Balance is \"+str(bal104)\n else:\n return \"Incorrect PIN\"\n if accnum=='105':\n if pin=='4444':\n return \"Your Account Balance is \"+str(bal105)\n else:\n return \"Incorrect PIN\"\n \n@app.route('/User/WithdrawMoney')\ndef WithdrawMoney():\n return render_template('WithdrawMoney.html')\n@app.route('/Withdraw')\ndef Withdraw():\n if 'accnum' in request.args:\n accnum=request.args['accnum']\n if 'pin' in request.args:\n pin=request.args['pin']\n global acc\n if accnum=='101':\n if pin=='1000':\n acc=101\n return render_template('EnterAmount.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='102':\n if pin=='1111':\n acc=102\n return render_template('EnterAmount.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='103':\n if pin=='2222':\n acc=103\n return render_template('EnterAmount.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='104':\n if pin=='3333':\n acc=104\n return render_template('EnterAmount.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='105':\n if pin=='4444':\n acc=105\n return render_template('EnterAmount.html')\n else:\n return \"Incorrect PIN\"\n@app.route('/WithdrawConfirm')\ndef confirm():\n if 'withdraw' in request.args:\n withdraw=request.args['withdraw']\n ch=(int(withdraw)%100)\n int(ch)\n global twok,fiveh,h,acc,bal101,bal102,bal103,bal104,bal105\n if ch==0:\n rem=int(withdraw)\n x=int(int(rem)/2000)\n if int(x)<int(twok):\n amt1=x*2000\n rem=rem-int(amt1)\n else:\n x=0\n y=int(int(rem)/500)\n if int(y)<int(fiveh):\n amt2=y*500\n rem=rem-int(amt2)\n else:\n y=0\n z=int(int(rem)/100)\n if int(z)<int(h):\n amt3=z*100\n rem=rem-int(amt3)\n else:\n z=0\n \n if rem==0:\n if acc==101:\n if int(withdraw)<=int(bal101):\n twok=int(twok)-int(x)\n fiveh=int(fiveh)-int(y)\n h=int(h)-int(z)\n bal101=int(bal101)-int(withdraw)\n f=open('templates/101.html','a')\n message=\"<center>Withdraw---Rs.\"+str(withdraw)+\"---Debit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Transaction Done! Your Account Balance is Rs.\"+str(bal101)\n else:\n return \"No enough Money in Account\"\n elif acc==102:\n if int(withdraw)<=int(bal102):\n twok=int(twok)-int(x)\n fiveh=int(fiveh)-int(y)\n h=int(h)-int(z)\n bal102=int(bal102)-int(withdraw)\n f=open('templates/102.html','a')\n message=\"<center>Withdraw---Rs.\"+str(withdraw)+\"---Debit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Transaction Done! Your Account Balance is Rs.\"+str(bal102)\n else:\n return \"No enough Money in Account\"\n elif acc==103:\n if int(withdraw)<=int(bal103):\n twok=int(twok)-int(x)\n fiveh=int(fiveh)-int(y)\n h=int(h)-int(z)\n bal103=int(bal103)-int(withdraw)\n f=open('templates/103.html','a')\n message=\"<center>Withdraw---Rs.\"+str(withdraw)+\"---Debit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Transaction Done! Your Account Balance is Rs.\"+str(bal103)\n else:\n return \"No enough Money in Account\"\n elif acc==104:\n if int(withdraw)<=int(bal104):\n twok=int(twok)-int(x)\n fiveh=int(fiveh)-int(y)\n h=int(h)-int(z)\n bal104=int(bal104)-int(withdraw)\n f=open('templates/104.html','a')\n message=\"<center>Withdraw---Rs.\"+str(withdraw)+\"---Debit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Transaction Done! Your Account Balance is Rs.\"+str(bal104)\n else:\n return \"No enough Money in Account\"\n elif acc==105:\n if int(withdraw)<=int(bal105):\n twok=int(twok)-int(x)\n fiveh=int(fiveh)-int(y)\n h=int(h)-int(z)\n bal105=int(bal105)-int(withdraw)\n f=open('templates/105.html','a')\n message=\"<center>Withdraw---Rs.\"+str(withdraw)+\"---Debit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Transaction Done! Your Account Balance is Rs.\"+str(bal105)\n else:\n return \"No enough Money in Account\"\n else:\n return \"No enough Money in ATM. Try entering less Amount. Sorry for the Inconvenience.\"\n else:\n return \"Enter in Multiple of 100\"\n@app.route('/User/TransferMoney')\ndef TransferMoney():\n return render_template('TransferMoney.html')\n@app.route('/Transfer')\ndef Transfer():\n if 'accnum' in request.args:\n accnum=request.args['accnum']\n if 'pin' in request.args:\n pin=request.args['pin']\n global acc\n if accnum=='101':\n if pin=='1000':\n acc=101\n return render_template('Transfer.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='102':\n if pin=='1111':\n acc=102\n return render_template('Transfer.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='103':\n if pin=='2222':\n acc=103\n return render_template('Transfer.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='104':\n if pin=='3333':\n acc=104\n return render_template('Transfer.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='105':\n if pin=='4444':\n acc=105\n return render_template('Transfer.html')\n else:\n return \"Incorrect PIN\"\n@app.route('/TransferConfirm')\ndef TransferConfirm():\n global acc,bal101,bal102,bal103,bal104,bal105\n if 'accnum1' in request.args:\n acc1=request.args['accnum1']\n if 'money' in request.args:\n money=request.args['money']\n if int(acc)==int(acc1):\n return \"Sorry! Cannot Transfer to Same Account.\"\n if acc==101:\n if int(money)<=int(bal101):\n if acc1=='102':\n bal101=int(bal101)-int(money)\n bal102=int(bal102)+int(money)\n f=open('templates/101.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/102.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal101)\n if acc1=='103':\n bal101=int(bal101)-int(money)\n bal103=int(bal103)+int(money)\n f=open('templates/101.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/103.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal101)\n if acc1=='104':\n bal101=int(bal101)-int(money)\n bal104=int(bal104)+int(money)\n f=open('templates/101.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/104.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal101)\n if acc1=='105':\n bal101=int(bal101)-int(money)\n bal105=int(bal105)+int(money)\n f=open('templates/101.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/105.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal101)\n else:\n return \"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\"\n if acc==102:\n if int(money)<=int(bal102):\n if acc1=='101':\n bal102=int(bal102)-int(money)\n bal101=int(bal101)+int(money)\n f=open('templates/102.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/101.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal102)\n if acc1=='103':\n bal102=int(bal102)-int(money)\n bal103=int(bal103)+int(money)\n f=open('templates/102.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/103.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal102)\n if acc1=='104':\n bal102=int(bal102)-int(money)\n bal104=int(bal104)+int(money)\n f=open('templates/102.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/104.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal102)\n if acc1=='105':\n bal102=int(bal102)-int(money)\n bal105=int(bal105)+int(money)\n f=open('templates/102.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/105.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal102)\n else:\n return \"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\"\n if acc==103:\n if int(money)<=int(bal103):\n if acc1=='101':\n bal103=int(bal103)-int(money)\n bal101=int(bal101)+int(money)\n f=open('templates/103.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/101.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal103)\n if acc1=='102':\n bal103=int(bal103)-int(money)\n bal102=int(bal102)+int(money)\n f=open('templates/103.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/102.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal103)\n if acc1=='104':\n bal103=int(bal103)-int(money)\n bal104=int(bal104)+int(money)\n f=open('templates/103.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/104.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal103)\n if acc1=='105':\n bal103=int(bal103)-int(money)\n bal105=int(bal105)+int(money)\n f=open('templates/103.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/105.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal103)\n else:\n return \"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\"\n if acc==104:\n if int(money)<=int(bal104):\n if acc1=='101':\n bal104=int(bal104)-int(money)\n bal101=int(bal101)+int(money)\n f=open('templates/104.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/101.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal104)\n if acc1=='102':\n bal104=int(bal104)-int(money)\n bal102=int(bal102)+int(money)\n f=open('templates/104.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/102.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal104)\n if acc1=='103':\n bal104=int(bal104)-int(money)\n bal103=int(bal103)+int(money)\n f=open('templates/104.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/103.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal104)\n if acc1=='105':\n bal104=int(bal104)-int(money)\n bal105=int(bal105)+int(money)\n f=open('templates/104.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/105.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal104)\n else:\n return \"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\"\n if acc==105:\n if int(money)<=int(bal105):\n if acc1=='101':\n bal105=int(bal105)-int(money)\n bal101=int(bal101)+int(money)\n f=open('templates/105.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/101.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal101)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal105)\n if acc1=='102':\n bal105=int(bal105)-int(money)\n bal102=int(bal102)+int(money)\n f=open('templates/105.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/102.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal102)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal105)\n if acc1=='103':\n bal105=int(bal105)-int(money)\n bal103=int(bal103)+int(money)\n f=open('templates/105.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/103.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal103)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal105)\n if acc1=='104':\n bal105=int(bal105)-int(money)\n bal104=int(bal104)+int(money)\n f=open('templates/105.html','a')\n message=\"<center>Transfer to \"+str(acc1)+\"---Rs.\"+str(money)+\"---Debit---Rs.\"+str(bal105)+\"</center><br>\"\n f.write(message)\n f.close()\n f=open('templates/104.html','a')\n message=\"<center>Transfer from \"+str(acc)+\"---Rs.\"+str(money)+\"---Credit---Rs.\"+str(bal104)+\"</center><br>\"\n f.write(message)\n f.close()\n return \"Successfully transferred Money!! Your Current Account Balance is Rs.\"+str(bal105)\n else:\n return \"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\"\n \n@app.route('/User/MiniStatement')\ndef MiniStatement():\n return render_template('MiniStatement.html')\n@app.route('/MiniStatement')\ndef Statement():\n if 'accnum' in request.args:\n accnum=request.args['accnum']\n if 'pin' in request.args:\n pin=request.args['pin']\n global acc\n if accnum=='101':\n if pin=='1000':\n return render_template('101.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='102':\n if pin=='1111':\n return render_template('102.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='103':\n if pin=='2222':\n return render_template('103.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='104':\n if pin=='3333':\n return render_template('104.html')\n else:\n return \"Incorrect PIN\"\n if accnum=='105':\n if pin=='4444':\n return render_template('105.html')\n else:\n return \"Incorrect PIN\"\n\n\nif __name__ ==\"__main__\":\n app.run(host='0.0.0.0',threaded=True)\n \n"}],"string":"[\n {\n \"alpha_fraction\": 0.6666666865348816,\n \"alphanum_fraction\": 0.6666666865348816,\n \"avg_line_length\": 19,\n \"blob_id\": \"d6da41d2394a49a0d12e828bb1a11e51ccb0ee61\",\n \"content_id\": \"b4e5bb76d26254f694c2d218d62641fdd30d95de\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 21,\n \"license_type\": \"no_license\",\n \"max_line_length\": 19,\n \"num_lines\": 1,\n \"path\": \"/README.md\",\n \"repo_name\": \"Niranj1997/atm-application\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"# atm-application\\\" \\n\"\n },\n {\n \"alpha_fraction\": 0.46318137645721436,\n \"alphanum_fraction\": 0.5113404393196106,\n \"avg_line_length\": 41.64677429199219,\n \"blob_id\": \"4a2685dcc816d105dd3ea4be749e7bbf0d2946ef\",\n \"content_id\": \"c36aab9b102ca81943311cdd31d40d8e6deeb1e1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 26454,\n \"license_type\": \"no_license\",\n \"max_line_length\": 446,\n \"num_lines\": 620,\n \"path\": \"/atm.py\",\n \"repo_name\": \"Niranj1997/atm-application\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from flask import Flask,render_template,request\\napp = Flask(__name__) #InitiateFlask\\napp.config['TEMPLATES_AUTO_RELOAD'] = True\\ntwok=0\\nfiveh=0\\nh=0\\natm=0\\np1=101\\np2=102\\np3=103\\np4=104\\np5=105\\npin101=1000\\npin102=1111\\npin102=2222\\npin103=3333\\npin104=4444\\npin105=5555\\nbal101=100000\\nbal102=200000\\nbal103=150000\\nbal103=175000\\nbal104=75000\\nbal105=125000\\nrem=0\\nx=0\\ny=0\\nz=0\\namt1=0\\namt2=0\\namt3=0\\nch=0\\nacc=0\\nf=open('templates/101.html','w')\\nmessage=\\\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\\\"\\nf.write(message)\\nf.close()\\nf=open('templates/102.html','w')\\nmessage=\\\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\\\"\\nf.write(message)\\nf.close()\\nf=open('templates/103.html','w')\\nmessage=\\\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\\\"\\nf.write(message)\\nf.close()\\nf=open('templates/104.html','w')\\nmessage=\\\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\\\"\\nf.write(message)\\nf.close()\\nf=open('templates/105.html','w')\\nmessage=\\\"<center>TYPE----AMOUNT----DEBIT/CREDIT----BALANCE</center><br>\\\"\\nf.write(message)\\nf.close()\\n@app.route('/') #WelcomeScreen\\ndef Welcome(): \\n return render_template('Welcome.html')\\n@app.route('/Admin') #AdminPage\\ndef Admin(): \\n return render_template('Admin.html')\\n@app.route('/Admin/LoadMoney')\\ndef load():\\n return render_template('LoadMoney.html')\\n@app.route('/Load')\\ndef Load():\\n if 'den' in request.args:\\n den=request.args['den']\\n if 'qty' in request.args:\\n qty=request.args['qty']\\n LoadMoney(den,qty)\\n return \\\"Successfully Loaded to ATM\\\"\\ndef LoadMoney(den,qty): #AddStockFunction\\n global twok,fiveh,h\\n if den=='2000':\\n twok+=int(qty)\\n elif den=='500':\\n fiveh+=int(qty)\\n elif den=='100':\\n h+=int(qty)\\n@app.route('/Admin/ViewMoney')\\ndef view():\\n global atm\\n atm=(2000*twok)+(500*fiveh)+(100*h)\\n load = open('templates/ViewMoney.html','w')\\n txt= \\\"<html><body><center><h1>Welcome</h1><br><h2>View Money Left</h2><br>2000 : \\\"+str(twok)+\\\"<br> 500 : \\\"+str(fiveh)+\\\"<br> 100 : \\\"+str(h)+\\\"<br> Net Amount : Rs.\\\"+str(atm)+\\\"</center></body></html>\\\"\\n load.write(txt)\\n load.close()\\n return render_template('ViewMoney.html')\\n@app.route('/Admin/Details')\\ndef details():\\n detail = open('templates/Details.html','w')\\n txt=\\\"<html><body><center><h1>Welcome</h1><br><h2>View Customer Details</h2><br>AccNum----AccHolder----PIN----AccBalance<br>\\\"+str(p1)+\\\"---p1---\\\"+str(pin101)+\\\"---Rs.\\\"+str(bal101)+\\\"<br>\\\"+str(p2)+\\\"---p2---\\\"+str(pin102)+\\\"---Rs.\\\"+str(bal102)+\\\"<br>\\\"+str(p3)+\\\"---p3---\\\"+str(pin103)+\\\"---Rs.\\\"+str(bal103)+\\\"<br>\\\"+str(p4)+\\\"---p4---\\\"+str(pin104)+\\\"---Rs.\\\"+str(bal104)+\\\"<br>\\\"+str(p5)+\\\"---p5---\\\"+str(pin105)+\\\"---Rs.\\\"+str(bal105)+\\\"<br></center></body></html>\\\"\\n detail.write(txt)\\n detail.close()\\n return render_template('Details.html')\\n@app.route('/User')\\ndef User():\\n return render_template('User.html')\\n@app.route('/User/CheckBalance')\\ndef CheckBalance():\\n return render_template('CheckBalance.html')\\n@app.route('/Check')\\ndef Check():\\n if 'accnum' in request.args:\\n accnum=request.args['accnum']\\n if 'pin' in request.args:\\n pin=request.args['pin']\\n \\n if accnum=='101':\\n if pin=='1000':\\n return \\\"Your Account Balance is \\\"+str(bal101)\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='102':\\n if pin=='1111':\\n return \\\"Your Account Balance is \\\"+str(bal102)\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='103':\\n if pin=='2222':\\n return \\\"Your Account Balance is \\\"+str(bal103)\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='104':\\n if pin=='3333':\\n return \\\"Your Account Balance is \\\"+str(bal104)\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='105':\\n if pin=='4444':\\n return \\\"Your Account Balance is \\\"+str(bal105)\\n else:\\n return \\\"Incorrect PIN\\\"\\n \\n@app.route('/User/WithdrawMoney')\\ndef WithdrawMoney():\\n return render_template('WithdrawMoney.html')\\n@app.route('/Withdraw')\\ndef Withdraw():\\n if 'accnum' in request.args:\\n accnum=request.args['accnum']\\n if 'pin' in request.args:\\n pin=request.args['pin']\\n global acc\\n if accnum=='101':\\n if pin=='1000':\\n acc=101\\n return render_template('EnterAmount.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='102':\\n if pin=='1111':\\n acc=102\\n return render_template('EnterAmount.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='103':\\n if pin=='2222':\\n acc=103\\n return render_template('EnterAmount.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='104':\\n if pin=='3333':\\n acc=104\\n return render_template('EnterAmount.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='105':\\n if pin=='4444':\\n acc=105\\n return render_template('EnterAmount.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n@app.route('/WithdrawConfirm')\\ndef confirm():\\n if 'withdraw' in request.args:\\n withdraw=request.args['withdraw']\\n ch=(int(withdraw)%100)\\n int(ch)\\n global twok,fiveh,h,acc,bal101,bal102,bal103,bal104,bal105\\n if ch==0:\\n rem=int(withdraw)\\n x=int(int(rem)/2000)\\n if int(x)<int(twok):\\n amt1=x*2000\\n rem=rem-int(amt1)\\n else:\\n x=0\\n y=int(int(rem)/500)\\n if int(y)<int(fiveh):\\n amt2=y*500\\n rem=rem-int(amt2)\\n else:\\n y=0\\n z=int(int(rem)/100)\\n if int(z)<int(h):\\n amt3=z*100\\n rem=rem-int(amt3)\\n else:\\n z=0\\n \\n if rem==0:\\n if acc==101:\\n if int(withdraw)<=int(bal101):\\n twok=int(twok)-int(x)\\n fiveh=int(fiveh)-int(y)\\n h=int(h)-int(z)\\n bal101=int(bal101)-int(withdraw)\\n f=open('templates/101.html','a')\\n message=\\\"<center>Withdraw---Rs.\\\"+str(withdraw)+\\\"---Debit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Transaction Done! Your Account Balance is Rs.\\\"+str(bal101)\\n else:\\n return \\\"No enough Money in Account\\\"\\n elif acc==102:\\n if int(withdraw)<=int(bal102):\\n twok=int(twok)-int(x)\\n fiveh=int(fiveh)-int(y)\\n h=int(h)-int(z)\\n bal102=int(bal102)-int(withdraw)\\n f=open('templates/102.html','a')\\n message=\\\"<center>Withdraw---Rs.\\\"+str(withdraw)+\\\"---Debit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Transaction Done! Your Account Balance is Rs.\\\"+str(bal102)\\n else:\\n return \\\"No enough Money in Account\\\"\\n elif acc==103:\\n if int(withdraw)<=int(bal103):\\n twok=int(twok)-int(x)\\n fiveh=int(fiveh)-int(y)\\n h=int(h)-int(z)\\n bal103=int(bal103)-int(withdraw)\\n f=open('templates/103.html','a')\\n message=\\\"<center>Withdraw---Rs.\\\"+str(withdraw)+\\\"---Debit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Transaction Done! Your Account Balance is Rs.\\\"+str(bal103)\\n else:\\n return \\\"No enough Money in Account\\\"\\n elif acc==104:\\n if int(withdraw)<=int(bal104):\\n twok=int(twok)-int(x)\\n fiveh=int(fiveh)-int(y)\\n h=int(h)-int(z)\\n bal104=int(bal104)-int(withdraw)\\n f=open('templates/104.html','a')\\n message=\\\"<center>Withdraw---Rs.\\\"+str(withdraw)+\\\"---Debit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Transaction Done! Your Account Balance is Rs.\\\"+str(bal104)\\n else:\\n return \\\"No enough Money in Account\\\"\\n elif acc==105:\\n if int(withdraw)<=int(bal105):\\n twok=int(twok)-int(x)\\n fiveh=int(fiveh)-int(y)\\n h=int(h)-int(z)\\n bal105=int(bal105)-int(withdraw)\\n f=open('templates/105.html','a')\\n message=\\\"<center>Withdraw---Rs.\\\"+str(withdraw)+\\\"---Debit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Transaction Done! Your Account Balance is Rs.\\\"+str(bal105)\\n else:\\n return \\\"No enough Money in Account\\\"\\n else:\\n return \\\"No enough Money in ATM. Try entering less Amount. Sorry for the Inconvenience.\\\"\\n else:\\n return \\\"Enter in Multiple of 100\\\"\\n@app.route('/User/TransferMoney')\\ndef TransferMoney():\\n return render_template('TransferMoney.html')\\n@app.route('/Transfer')\\ndef Transfer():\\n if 'accnum' in request.args:\\n accnum=request.args['accnum']\\n if 'pin' in request.args:\\n pin=request.args['pin']\\n global acc\\n if accnum=='101':\\n if pin=='1000':\\n acc=101\\n return render_template('Transfer.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='102':\\n if pin=='1111':\\n acc=102\\n return render_template('Transfer.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='103':\\n if pin=='2222':\\n acc=103\\n return render_template('Transfer.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='104':\\n if pin=='3333':\\n acc=104\\n return render_template('Transfer.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='105':\\n if pin=='4444':\\n acc=105\\n return render_template('Transfer.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n@app.route('/TransferConfirm')\\ndef TransferConfirm():\\n global acc,bal101,bal102,bal103,bal104,bal105\\n if 'accnum1' in request.args:\\n acc1=request.args['accnum1']\\n if 'money' in request.args:\\n money=request.args['money']\\n if int(acc)==int(acc1):\\n return \\\"Sorry! Cannot Transfer to Same Account.\\\"\\n if acc==101:\\n if int(money)<=int(bal101):\\n if acc1=='102':\\n bal101=int(bal101)-int(money)\\n bal102=int(bal102)+int(money)\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal101)\\n if acc1=='103':\\n bal101=int(bal101)-int(money)\\n bal103=int(bal103)+int(money)\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal101)\\n if acc1=='104':\\n bal101=int(bal101)-int(money)\\n bal104=int(bal104)+int(money)\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal101)\\n if acc1=='105':\\n bal101=int(bal101)-int(money)\\n bal105=int(bal105)+int(money)\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal101)\\n else:\\n return \\\"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\\\"\\n if acc==102:\\n if int(money)<=int(bal102):\\n if acc1=='101':\\n bal102=int(bal102)-int(money)\\n bal101=int(bal101)+int(money)\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal102)\\n if acc1=='103':\\n bal102=int(bal102)-int(money)\\n bal103=int(bal103)+int(money)\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal102)\\n if acc1=='104':\\n bal102=int(bal102)-int(money)\\n bal104=int(bal104)+int(money)\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal102)\\n if acc1=='105':\\n bal102=int(bal102)-int(money)\\n bal105=int(bal105)+int(money)\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal102)\\n else:\\n return \\\"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\\\"\\n if acc==103:\\n if int(money)<=int(bal103):\\n if acc1=='101':\\n bal103=int(bal103)-int(money)\\n bal101=int(bal101)+int(money)\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal103)\\n if acc1=='102':\\n bal103=int(bal103)-int(money)\\n bal102=int(bal102)+int(money)\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal103)\\n if acc1=='104':\\n bal103=int(bal103)-int(money)\\n bal104=int(bal104)+int(money)\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal103)\\n if acc1=='105':\\n bal103=int(bal103)-int(money)\\n bal105=int(bal105)+int(money)\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal103)\\n else:\\n return \\\"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\\\"\\n if acc==104:\\n if int(money)<=int(bal104):\\n if acc1=='101':\\n bal104=int(bal104)-int(money)\\n bal101=int(bal101)+int(money)\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal104)\\n if acc1=='102':\\n bal104=int(bal104)-int(money)\\n bal102=int(bal102)+int(money)\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal104)\\n if acc1=='103':\\n bal104=int(bal104)-int(money)\\n bal103=int(bal103)+int(money)\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal104)\\n if acc1=='105':\\n bal104=int(bal104)-int(money)\\n bal105=int(bal105)+int(money)\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal104)\\n else:\\n return \\\"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\\\"\\n if acc==105:\\n if int(money)<=int(bal105):\\n if acc1=='101':\\n bal105=int(bal105)-int(money)\\n bal101=int(bal101)+int(money)\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/101.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal101)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal105)\\n if acc1=='102':\\n bal105=int(bal105)-int(money)\\n bal102=int(bal102)+int(money)\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/102.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal102)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal105)\\n if acc1=='103':\\n bal105=int(bal105)-int(money)\\n bal103=int(bal103)+int(money)\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/103.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal103)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal105)\\n if acc1=='104':\\n bal105=int(bal105)-int(money)\\n bal104=int(bal104)+int(money)\\n f=open('templates/105.html','a')\\n message=\\\"<center>Transfer to \\\"+str(acc1)+\\\"---Rs.\\\"+str(money)+\\\"---Debit---Rs.\\\"+str(bal105)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n f=open('templates/104.html','a')\\n message=\\\"<center>Transfer from \\\"+str(acc)+\\\"---Rs.\\\"+str(money)+\\\"---Credit---Rs.\\\"+str(bal104)+\\\"</center><br>\\\"\\n f.write(message)\\n f.close()\\n return \\\"Successfully transferred Money!! Your Current Account Balance is Rs.\\\"+str(bal105)\\n else:\\n return \\\"Sorry! Your Account does not have Sufficient Balance to do the Transaction.\\\"\\n \\n@app.route('/User/MiniStatement')\\ndef MiniStatement():\\n return render_template('MiniStatement.html')\\n@app.route('/MiniStatement')\\ndef Statement():\\n if 'accnum' in request.args:\\n accnum=request.args['accnum']\\n if 'pin' in request.args:\\n pin=request.args['pin']\\n global acc\\n if accnum=='101':\\n if pin=='1000':\\n return render_template('101.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='102':\\n if pin=='1111':\\n return render_template('102.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='103':\\n if pin=='2222':\\n return render_template('103.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='104':\\n if pin=='3333':\\n return render_template('104.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n if accnum=='105':\\n if pin=='4444':\\n return render_template('105.html')\\n else:\\n return \\\"Incorrect PIN\\\"\\n\\n\\nif __name__ ==\\\"__main__\\\":\\n app.run(host='0.0.0.0',threaded=True)\\n \\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2984178,"cells":{"repo_name":{"kind":"string","value":"Anand-Sagar28/SpaceInvader"},"repo_url":{"kind":"string","value":"https://github.com/Anand-Sagar28/SpaceInvader"},"snapshot_id":{"kind":"string","value":"2a28a01cf1d959571f472521a8a9e02efe3c325d"},"revision_id":{"kind":"string","value":"b6f45d00b877af60e091cea0cd469a93b26380ff"},"directory_id":{"kind":"string","value":"fcebd9bf2fd87c90ed242f3efbc2afc1061ab0ce"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-07-19T18:20:09.554187","string":"2023-07-19T18:20:09.554187"},"revision_date":{"kind":"timestamp","value":"2021-09-09T02:50:33","string":"2021-09-09T02:50:33"},"committer_date":{"kind":"timestamp","value":"2021-09-09T02:50:33","string":"2021-09-09T02:50:33"},"github_id":{"kind":"number","value":403198961,"string":"403,198,961"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5698522329330444,"alphanum_fraction":0.5934168696403503,"avg_line_length":29.087209701538086,"blob_id":"9b32aa89e265cd9735527639180cef0f63329917","content_id":"5c8b3181f1c48270178d7652c9dc9e1f105d771d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5347,"license_type":"no_license","max_line_length":115,"num_lines":172,"path":"/PygameTRY.py","repo_name":"Anand-Sagar28/SpaceInvader","src_encoding":"UTF-8","text":"import pygame\r\nimport random\r\nimport math\r\nfrom pygame import mixer\r\n\r\n# Initialize the pygame\r\npygame.init()\r\n\r\n# create the screen(WIDTH , HEIGHT)\r\nscreen = pygame.display.set_mode((800, 600))\r\n\r\n# Adding background image\r\nbackground = pygame.image.load('Background.png')\r\n\r\n# TITLE < LOGO\r\npygame.display.set_caption('Space Invader') # Title\r\nicon = pygame.image.load('ufo (1).png') # Icon of the game\r\npygame.display.set_icon(icon)\r\n\r\n# Adding background music\r\nmixer.music.load('background.wav')\r\nmixer.music.play(-1) # -1 is added to make it run continously from start to stop\r\n\r\n# Adding Player image\r\nplayer_img = pygame.image.load('spaceship.png')\r\nplayerX = 370\r\nplayerY = 500\r\nplayerX_change = 0\r\n\r\n# Adding Enemy randomly anywhere in the screen.\r\nenemy_img = []\r\nenemyX = []\r\nenemyY = []\r\nenemyX_change = []\r\nenemyY_change = []\r\nnum_of_enemies = 6\r\nfor i in range(num_of_enemies):\r\n enemy_img.append(pygame.image.load('enemy.png'))\r\n enemyX.append(random.randint(0, 800))\r\n enemyY.append(random.randint(10, 200))\r\n enemyX_change.append(4)\r\n enemyY_change.append(40)\r\n\r\n# Adding bullet in the game.\r\n# Ready = Bullet is in not fired yet Cant see on screen.\r\n# Fire = Bullet is moving\r\nbulletimg = pygame.image.load('bullet.png')\r\nbulletX = 0\r\nbulletY = 500\r\nbulletX_change = 0\r\nbulletY_change = 10\r\nbullet_state = \"ready\"\r\n\r\n# score\r\nscore_value = 0\r\nfont = pygame.font.Font('freesansbold.ttf', 32)\r\ntextX = 10\r\ntextY = 10\r\n\r\nover_font = pygame.font.Font('freesansbold.ttf', 64)\r\n\r\n\r\ndef show_score(x, y):\r\n score = font.render(\"Score: \" + str(score_value), True, (255, 255, 255))\r\n screen.blit(score, (x, y))\r\n\r\n\r\ndef game_over_text():\r\n game_overfont = over_font.render(\"GAME OVER\", True, (255, 255, 255))\r\n screen.blit(game_overfont, (200, 240))\r\n\r\n\r\ndef player(x, y):\r\n screen.blit(player_img, (x, y)) # This blit method is used to draw in the screen the image of player.\r\n\r\n\r\ndef enemy(x, y, i):\r\n screen.blit(enemy_img[i], (x, y))\r\n\r\n\r\ndef fire_bullet(x, y):\r\n global bullet_state\r\n bullet_state = \"fire\"\r\n screen.blit(bulletimg, (x + 16, y + 10))\r\n\r\n\r\n# Collision between enemy and bullet can be done using distance.\r\n# same distance == collision\r\ndef isCollision(enemyX, enemyY, bulletX, bulletY):\r\n distance = math.sqrt((math.pow(enemyX - bulletX, 2)) + (math.pow(enemyY - bulletY, 2)))\r\n if distance < 27:\r\n return True\r\n else:\r\n return False\r\n\r\n\r\n# Game LOOP\r\nrunning = True\r\nwhile running:\r\n # Screen Should appear above everything..\r\n screen.fill((0, 0, 0)) # Changing Colors to RGB = (RED, GREEN, BLUE)\r\n # Background image\r\n screen.blit(background, (0, 0))\r\n # playerX += 0.3\r\n for event in pygame.event.get():\r\n if event.type == pygame.QUIT:\r\n running = False\r\n if event.type == pygame.KEYDOWN:\r\n if event.key == pygame.K_LEFT:\r\n playerX_change += -4\r\n if event.key == pygame.K_RIGHT:\r\n playerX_change += 4\r\n # print('Right Key is pressed')\r\n if event.key == pygame.K_SPACE:\r\n if bullet_state == \"ready\":\r\n bullet_sound = mixer.Sound('laser.wav')\r\n bullet_sound.play()\r\n # getting the x coordinate of the bullet.\r\n bulletX = playerX # Assigning a fixed position for the origin of bullet from the spaceship.\r\n fire_bullet(bulletX, bulletY)\r\n if event.type == pygame.KEYUP:\r\n if event.key == pygame.K_LEFT or event.key == pygame.K_RIGHT:\r\n playerX_change = 0\r\n # Assigning Movement of the player of pressing the left and right key\r\n playerX += playerX_change\r\n if playerX <= 0:\r\n playerX = 0\r\n elif playerX >= 736:\r\n playerX = 736\r\n\r\n # enemy movement\r\n for i in range(num_of_enemies):\r\n if enemyY[i] > 440:\r\n for j in range(num_of_enemies):\r\n enemyY[j] = 2000\r\n game_over_text()\r\n break\r\n\r\n enemyX[i] += enemyX_change[i]\r\n if enemyX[i] <= 0:\r\n enemyX_change[i] = 3\r\n enemyY[i] += enemyY_change[i]\r\n elif enemyX[i] >= 736:\r\n enemyX_change[i] = -3\r\n enemyY[i] += enemyY_change[i]\r\n # If collision then respawning the enemy in diff location and the score is increased by1 in each collision.\r\n collision = isCollision(enemyX[i], enemyY[i], bulletX, bulletY)\r\n if collision:\r\n bulletY = 500\r\n bullet_state = 'ready'\r\n score_value += 1\r\n # print(score_value)\r\n # Respawning enemy in a random location after bullet hits the enemy.\r\n enemyX[i] = random.randint(0, 736)\r\n enemyY[i] = random.randint(10, 200)\r\n explosion_sound = mixer.Sound('explosion.wav')\r\n explosion_sound.play()\r\n\r\n enemy(enemyX[i], enemyY[i], i)\r\n\r\n # Creating multiple bullets to hit\r\n if bulletY <= 0:\r\n bulletY = 500\r\n bullet_state = \"ready\"\r\n\r\n if bullet_state == \"fire\":\r\n fire_bullet(bulletX, bulletY)\r\n bulletY -= bulletY_change\r\n\r\n player(playerX, playerY) # It Should be called inside while loop as for the game is running inside it.\r\n show_score(textX, textY)\r\n pygame.display.update()\r\n"},{"alpha_fraction":0.7572815418243408,"alphanum_fraction":0.7572815418243408,"avg_line_length":40.20000076293945,"blob_id":"99f8e99bdae500b86cfafcc5904f5f99031e5547","content_id":"3b7aefa4803477389dac4679b02a7f544ae3872a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":206,"license_type":"no_license","max_line_length":144,"num_lines":5,"path":"/README.md","repo_name":"Anand-Sagar28/SpaceInvader","src_encoding":"UTF-8","text":"# SpaceInvader\nHi. I'm Anand Sagar Gupta. \nA B.tech student. \nThis is my mini project, I tried using Python and Pycharm. Feel free to share your views and your Pull request or any suggestion to the changes.\nThankYou.\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5698522329330444,\n \"alphanum_fraction\": 0.5934168696403503,\n \"avg_line_length\": 29.087209701538086,\n \"blob_id\": \"9b32aa89e265cd9735527639180cef0f63329917\",\n \"content_id\": \"5c8b3181f1c48270178d7652c9dc9e1f105d771d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5347,\n \"license_type\": \"no_license\",\n \"max_line_length\": 115,\n \"num_lines\": 172,\n \"path\": \"/PygameTRY.py\",\n \"repo_name\": \"Anand-Sagar28/SpaceInvader\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pygame\\r\\nimport random\\r\\nimport math\\r\\nfrom pygame import mixer\\r\\n\\r\\n# Initialize the pygame\\r\\npygame.init()\\r\\n\\r\\n# create the screen(WIDTH , HEIGHT)\\r\\nscreen = pygame.display.set_mode((800, 600))\\r\\n\\r\\n# Adding background image\\r\\nbackground = pygame.image.load('Background.png')\\r\\n\\r\\n# TITLE < LOGO\\r\\npygame.display.set_caption('Space Invader') # Title\\r\\nicon = pygame.image.load('ufo (1).png') # Icon of the game\\r\\npygame.display.set_icon(icon)\\r\\n\\r\\n# Adding background music\\r\\nmixer.music.load('background.wav')\\r\\nmixer.music.play(-1) # -1 is added to make it run continously from start to stop\\r\\n\\r\\n# Adding Player image\\r\\nplayer_img = pygame.image.load('spaceship.png')\\r\\nplayerX = 370\\r\\nplayerY = 500\\r\\nplayerX_change = 0\\r\\n\\r\\n# Adding Enemy randomly anywhere in the screen.\\r\\nenemy_img = []\\r\\nenemyX = []\\r\\nenemyY = []\\r\\nenemyX_change = []\\r\\nenemyY_change = []\\r\\nnum_of_enemies = 6\\r\\nfor i in range(num_of_enemies):\\r\\n enemy_img.append(pygame.image.load('enemy.png'))\\r\\n enemyX.append(random.randint(0, 800))\\r\\n enemyY.append(random.randint(10, 200))\\r\\n enemyX_change.append(4)\\r\\n enemyY_change.append(40)\\r\\n\\r\\n# Adding bullet in the game.\\r\\n# Ready = Bullet is in not fired yet Cant see on screen.\\r\\n# Fire = Bullet is moving\\r\\nbulletimg = pygame.image.load('bullet.png')\\r\\nbulletX = 0\\r\\nbulletY = 500\\r\\nbulletX_change = 0\\r\\nbulletY_change = 10\\r\\nbullet_state = \\\"ready\\\"\\r\\n\\r\\n# score\\r\\nscore_value = 0\\r\\nfont = pygame.font.Font('freesansbold.ttf', 32)\\r\\ntextX = 10\\r\\ntextY = 10\\r\\n\\r\\nover_font = pygame.font.Font('freesansbold.ttf', 64)\\r\\n\\r\\n\\r\\ndef show_score(x, y):\\r\\n score = font.render(\\\"Score: \\\" + str(score_value), True, (255, 255, 255))\\r\\n screen.blit(score, (x, y))\\r\\n\\r\\n\\r\\ndef game_over_text():\\r\\n game_overfont = over_font.render(\\\"GAME OVER\\\", True, (255, 255, 255))\\r\\n screen.blit(game_overfont, (200, 240))\\r\\n\\r\\n\\r\\ndef player(x, y):\\r\\n screen.blit(player_img, (x, y)) # This blit method is used to draw in the screen the image of player.\\r\\n\\r\\n\\r\\ndef enemy(x, y, i):\\r\\n screen.blit(enemy_img[i], (x, y))\\r\\n\\r\\n\\r\\ndef fire_bullet(x, y):\\r\\n global bullet_state\\r\\n bullet_state = \\\"fire\\\"\\r\\n screen.blit(bulletimg, (x + 16, y + 10))\\r\\n\\r\\n\\r\\n# Collision between enemy and bullet can be done using distance.\\r\\n# same distance == collision\\r\\ndef isCollision(enemyX, enemyY, bulletX, bulletY):\\r\\n distance = math.sqrt((math.pow(enemyX - bulletX, 2)) + (math.pow(enemyY - bulletY, 2)))\\r\\n if distance < 27:\\r\\n return True\\r\\n else:\\r\\n return False\\r\\n\\r\\n\\r\\n# Game LOOP\\r\\nrunning = True\\r\\nwhile running:\\r\\n # Screen Should appear above everything..\\r\\n screen.fill((0, 0, 0)) # Changing Colors to RGB = (RED, GREEN, BLUE)\\r\\n # Background image\\r\\n screen.blit(background, (0, 0))\\r\\n # playerX += 0.3\\r\\n for event in pygame.event.get():\\r\\n if event.type == pygame.QUIT:\\r\\n running = False\\r\\n if event.type == pygame.KEYDOWN:\\r\\n if event.key == pygame.K_LEFT:\\r\\n playerX_change += -4\\r\\n if event.key == pygame.K_RIGHT:\\r\\n playerX_change += 4\\r\\n # print('Right Key is pressed')\\r\\n if event.key == pygame.K_SPACE:\\r\\n if bullet_state == \\\"ready\\\":\\r\\n bullet_sound = mixer.Sound('laser.wav')\\r\\n bullet_sound.play()\\r\\n # getting the x coordinate of the bullet.\\r\\n bulletX = playerX # Assigning a fixed position for the origin of bullet from the spaceship.\\r\\n fire_bullet(bulletX, bulletY)\\r\\n if event.type == pygame.KEYUP:\\r\\n if event.key == pygame.K_LEFT or event.key == pygame.K_RIGHT:\\r\\n playerX_change = 0\\r\\n # Assigning Movement of the player of pressing the left and right key\\r\\n playerX += playerX_change\\r\\n if playerX <= 0:\\r\\n playerX = 0\\r\\n elif playerX >= 736:\\r\\n playerX = 736\\r\\n\\r\\n # enemy movement\\r\\n for i in range(num_of_enemies):\\r\\n if enemyY[i] > 440:\\r\\n for j in range(num_of_enemies):\\r\\n enemyY[j] = 2000\\r\\n game_over_text()\\r\\n break\\r\\n\\r\\n enemyX[i] += enemyX_change[i]\\r\\n if enemyX[i] <= 0:\\r\\n enemyX_change[i] = 3\\r\\n enemyY[i] += enemyY_change[i]\\r\\n elif enemyX[i] >= 736:\\r\\n enemyX_change[i] = -3\\r\\n enemyY[i] += enemyY_change[i]\\r\\n # If collision then respawning the enemy in diff location and the score is increased by1 in each collision.\\r\\n collision = isCollision(enemyX[i], enemyY[i], bulletX, bulletY)\\r\\n if collision:\\r\\n bulletY = 500\\r\\n bullet_state = 'ready'\\r\\n score_value += 1\\r\\n # print(score_value)\\r\\n # Respawning enemy in a random location after bullet hits the enemy.\\r\\n enemyX[i] = random.randint(0, 736)\\r\\n enemyY[i] = random.randint(10, 200)\\r\\n explosion_sound = mixer.Sound('explosion.wav')\\r\\n explosion_sound.play()\\r\\n\\r\\n enemy(enemyX[i], enemyY[i], i)\\r\\n\\r\\n # Creating multiple bullets to hit\\r\\n if bulletY <= 0:\\r\\n bulletY = 500\\r\\n bullet_state = \\\"ready\\\"\\r\\n\\r\\n if bullet_state == \\\"fire\\\":\\r\\n fire_bullet(bulletX, bulletY)\\r\\n bulletY -= bulletY_change\\r\\n\\r\\n player(playerX, playerY) # It Should be called inside while loop as for the game is running inside it.\\r\\n show_score(textX, textY)\\r\\n pygame.display.update()\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.7572815418243408,\n \"alphanum_fraction\": 0.7572815418243408,\n \"avg_line_length\": 40.20000076293945,\n \"blob_id\": \"99f8e99bdae500b86cfafcc5904f5f99031e5547\",\n \"content_id\": \"3b7aefa4803477389dac4679b02a7f544ae3872a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 206,\n \"license_type\": \"no_license\",\n \"max_line_length\": 144,\n \"num_lines\": 5,\n \"path\": \"/README.md\",\n \"repo_name\": \"Anand-Sagar28/SpaceInvader\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# SpaceInvader\\nHi. I'm Anand Sagar Gupta. \\nA B.tech student. \\nThis is my mini project, I tried using Python and Pycharm. Feel free to share your views and your Pull request or any suggestion to the changes.\\nThankYou.\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2984179,"cells":{"repo_name":{"kind":"string","value":"mrjm/whcll-py"},"repo_url":{"kind":"string","value":"https://github.com/mrjm/whcll-py"},"snapshot_id":{"kind":"string","value":"d574474c2e7cdc7a67b3dd879632ebb5769f885c"},"revision_id":{"kind":"string","value":"2a7b28d0f83438a4a9cb7de74d00dbd7624bf8df"},"directory_id":{"kind":"string","value":"552e87be4b468508acabd84488bae4841d74d4d3"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2015-08-10T12:38:40.898203","string":"2015-08-10T12:38:40.898203"},"revision_date":{"kind":"timestamp","value":"2014-11-29T13:53:57","string":"2014-11-29T13:53:57"},"committer_date":{"kind":"timestamp","value":"2014-11-29T13:53:57","string":"2014-11-29T13:53:57"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6337907314300537,"alphanum_fraction":0.6492281556129456,"avg_line_length":27.439023971557617,"blob_id":"a87f679a9d63fcec6fc9a1e7ec793f679f8ba15c","content_id":"3e3229e21bc8b92655b32bef4ae20dca494e7eca","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1166,"license_type":"permissive","max_line_length":60,"num_lines":41,"path":"/app.py","repo_name":"mrjm/whcll-py","src_encoding":"UTF-8","text":"import json\nimport bottle\nfrom bottle import route, run, request, response, abort\nfrom pymongo import MongoClient\nfrom bson.json_util import dumps\n\n\nclient = MongoClient()\ndb = client.mrjm\ncollection = db.whisky\nprint \"MongoDB Connected successfully\"\n\n@route('/whisky/api/')\ndef index():\n #Display small talk description\n return '{ \"name\": \"WhiskyCellar API\", \\\n \"url\": \"http://mrjm.de/whisky/api/v1\" }'\n\n@route('/whisky/api/v1/', method='GET')\ndef get_all():\n response.content_type = 'application/json; charset=utf8'\n #get list of all items\n entity = collection.find().sort('id', -1)\n if not entity:\n abort(404, 'No documents')\n d = dumps(entity)\n return 'angular.callbacks._0(' + d + ');'\n\n@route('/whisky/api/v1/<name>', method='GET')\ndef get_document(name):\n response.content_type = 'application/json; charset=utf8'\n #get list of specific item by name\n name = name.replace(\"_\", \" \").title();\n entity = collection.find({'name':name})\n if not entity:\n abort(404, 'No document with name %s' % name)\n d = dumps(entity)\n return 'angular.callbacks._0(' + d + ');'\n\n\nrun(host='localhost', port=3000)\n"},{"alpha_fraction":0.5767984390258789,"alphanum_fraction":0.5800389051437378,"avg_line_length":31.14583396911621,"blob_id":"115a12bb76db43abd2a16cc877c0450fa0e3908e","content_id":"1cf8a045fd0f4506fc8ff2da77f4df21904faeca","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":1543,"license_type":"permissive","max_line_length":103,"num_lines":48,"path":"/js/app.js","repo_name":"mrjm/whcll-py","src_encoding":"UTF-8","text":"var whiskyApp = angular.module('whiskyApp', []);\n\n\nwhiskyApp.controller('ItemListCtrl', ['$scope', '$http', '$filter', function ($scope, $http, $filter) {\n\n // ajax request to get all items formatted in JSON\n $http.jsonp('http://localhost:3000/whisky/api/v1/?callback=JSON_CALLBACK')\n .success(function(data, status, headers, config) {\n $scope.items = data;\n $scope.predicate = '-rating'; // default sort is ID Desc\n $scope.search = '';\n //$scope.filteredItems = []; // used below for some filters\n $scope.filterExpr = { name: true };\n\n\n\n\n // watch search field for search results\n $scope.$watch('search', function(newVal, oldVal) {\n $scope.items = $filter('filter')($scope.items, $scope.search);\n });\n\n // watch region to filter. Used in sidebar links\n $scope.$watch('region', function(newVal, oldVal) {\n $scope.filterExpr = { region: newVal };\n });\n\n // watch type to filter. Used in sidebar links\n $scope.$watch('art', function(newVal, oldVal) {\n $scope.filterExpr = { art: newVal };\n });\n\n // watch country to filter. Used in sidebar links\n $scope.$watch('land', function(newVal, oldVal) {\n $scope.filterExpr = { land: newVal };\n });\n })\n .error(function(data, status, headers, config){\n console.log('failed loading resource'+data);\n }); \n}]);\n\n\n\n// // set focus for search field after page has loaded\n// $(function(){\n// $(\"#search\").focus();\n// });\n"},{"alpha_fraction":0.6179401874542236,"alphanum_fraction":0.644518256187439,"avg_line_length":13.949999809265137,"blob_id":"4071a1d1c45d3533b283dc057c7296784dc16081","content_id":"a97ca736e37264d81dc08fac35adb54b44588c37","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":301,"license_type":"permissive","max_line_length":63,"num_lines":20,"path":"/README.md","repo_name":"mrjm/whcll-py","src_encoding":"UTF-8","text":"#WhiskyCellar \nPersonal Collection of Whiskies \n\n\nSee it online: [http://mrjm.de/whisky](http://mrjm.de/whisky) \n\n\n*Author:* Julian Metzger \n*Contact:* [http://mrjm.de](http://mrjm.de) \n*Version:* 1.0 \n*Last update:* 10/2014 \n\n##Backend \nPython \nbottle \npymongo \n\n##Frontend \nAngularJS \njQuery \n"}],"string":"[\n {\n \"alpha_fraction\": 0.6337907314300537,\n \"alphanum_fraction\": 0.6492281556129456,\n \"avg_line_length\": 27.439023971557617,\n \"blob_id\": \"a87f679a9d63fcec6fc9a1e7ec793f679f8ba15c\",\n \"content_id\": \"3e3229e21bc8b92655b32bef4ae20dca494e7eca\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1166,\n \"license_type\": \"permissive\",\n \"max_line_length\": 60,\n \"num_lines\": 41,\n \"path\": \"/app.py\",\n \"repo_name\": \"mrjm/whcll-py\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import json\\nimport bottle\\nfrom bottle import route, run, request, response, abort\\nfrom pymongo import MongoClient\\nfrom bson.json_util import dumps\\n\\n\\nclient = MongoClient()\\ndb = client.mrjm\\ncollection = db.whisky\\nprint \\\"MongoDB Connected successfully\\\"\\n\\n@route('/whisky/api/')\\ndef index():\\n #Display small talk description\\n return '{ \\\"name\\\": \\\"WhiskyCellar API\\\", \\\\\\n \\\"url\\\": \\\"http://mrjm.de/whisky/api/v1\\\" }'\\n\\n@route('/whisky/api/v1/', method='GET')\\ndef get_all():\\n response.content_type = 'application/json; charset=utf8'\\n #get list of all items\\n entity = collection.find().sort('id', -1)\\n if not entity:\\n abort(404, 'No documents')\\n d = dumps(entity)\\n return 'angular.callbacks._0(' + d + ');'\\n\\n@route('/whisky/api/v1/<name>', method='GET')\\ndef get_document(name):\\n response.content_type = 'application/json; charset=utf8'\\n #get list of specific item by name\\n name = name.replace(\\\"_\\\", \\\" \\\").title();\\n entity = collection.find({'name':name})\\n if not entity:\\n abort(404, 'No document with name %s' % name)\\n d = dumps(entity)\\n return 'angular.callbacks._0(' + d + ');'\\n\\n\\nrun(host='localhost', port=3000)\\n\"\n },\n {\n \"alpha_fraction\": 0.5767984390258789,\n \"alphanum_fraction\": 0.5800389051437378,\n \"avg_line_length\": 31.14583396911621,\n \"blob_id\": \"115a12bb76db43abd2a16cc877c0450fa0e3908e\",\n \"content_id\": \"1cf8a045fd0f4506fc8ff2da77f4df21904faeca\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 1543,\n \"license_type\": \"permissive\",\n \"max_line_length\": 103,\n \"num_lines\": 48,\n \"path\": \"/js/app.js\",\n \"repo_name\": \"mrjm/whcll-py\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"var whiskyApp = angular.module('whiskyApp', []);\\n\\n\\nwhiskyApp.controller('ItemListCtrl', ['$scope', '$http', '$filter', function ($scope, $http, $filter) {\\n\\n // ajax request to get all items formatted in JSON\\n $http.jsonp('http://localhost:3000/whisky/api/v1/?callback=JSON_CALLBACK')\\n .success(function(data, status, headers, config) {\\n $scope.items = data;\\n $scope.predicate = '-rating'; // default sort is ID Desc\\n $scope.search = '';\\n //$scope.filteredItems = []; // used below for some filters\\n $scope.filterExpr = { name: true };\\n\\n\\n\\n\\n // watch search field for search results\\n $scope.$watch('search', function(newVal, oldVal) {\\n $scope.items = $filter('filter')($scope.items, $scope.search);\\n });\\n\\n // watch region to filter. Used in sidebar links\\n $scope.$watch('region', function(newVal, oldVal) {\\n $scope.filterExpr = { region: newVal };\\n });\\n\\n // watch type to filter. Used in sidebar links\\n $scope.$watch('art', function(newVal, oldVal) {\\n $scope.filterExpr = { art: newVal };\\n });\\n\\n // watch country to filter. Used in sidebar links\\n $scope.$watch('land', function(newVal, oldVal) {\\n $scope.filterExpr = { land: newVal };\\n });\\n })\\n .error(function(data, status, headers, config){\\n console.log('failed loading resource'+data);\\n }); \\n}]);\\n\\n\\n\\n// // set focus for search field after page has loaded\\n// $(function(){\\n// $(\\\"#search\\\").focus();\\n// });\\n\"\n },\n {\n \"alpha_fraction\": 0.6179401874542236,\n \"alphanum_fraction\": 0.644518256187439,\n \"avg_line_length\": 13.949999809265137,\n \"blob_id\": \"4071a1d1c45d3533b283dc057c7296784dc16081\",\n \"content_id\": \"a97ca736e37264d81dc08fac35adb54b44588c37\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 301,\n \"license_type\": \"permissive\",\n \"max_line_length\": 63,\n \"num_lines\": 20,\n \"path\": \"/README.md\",\n \"repo_name\": \"mrjm/whcll-py\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#WhiskyCellar \\nPersonal Collection of Whiskies \\n\\n\\nSee it online: [http://mrjm.de/whisky](http://mrjm.de/whisky) \\n\\n\\n*Author:* Julian Metzger \\n*Contact:* [http://mrjm.de](http://mrjm.de) \\n*Version:* 1.0 \\n*Last update:* 10/2014 \\n\\n##Backend \\nPython \\nbottle \\npymongo \\n\\n##Frontend \\nAngularJS \\njQuery \\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":3,"string":"3"}}},{"rowIdx":2984180,"cells":{"repo_name":{"kind":"string","value":"ZEPORATH/faceRecognizer"},"repo_url":{"kind":"string","value":"https://github.com/ZEPORATH/faceRecognizer"},"snapshot_id":{"kind":"string","value":"406d9e8e5da4c635dc86c4b59c8f28fb169665e1"},"revision_id":{"kind":"string","value":"d832b786bc50fb9d33cf9afe1591ada83792ed2f"},"directory_id":{"kind":"string","value":"60596edfd447aaef4f9fe4fc0c38b4990dbfdfd6"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-07-07T02:07:06.581506","string":"2021-07-07T02:07:06.581506"},"revision_date":{"kind":"timestamp","value":"2017-10-01T14:49:10","string":"2017-10-01T14:49:10"},"committer_date":{"kind":"timestamp","value":"2017-10-01T14:49:10","string":"2017-10-01T14:49:10"},"github_id":{"kind":"number","value":105448955,"string":"105,448,955"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5440509915351868,"alphanum_fraction":0.5633495450019836,"avg_line_length":37.17307662963867,"blob_id":"cfd5a824534cf04207b22c6161ba81886b87be2b","content_id":"80970cf60d7cfc59d0db351a2d5e428b19a5521c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5959,"license_type":"no_license","max_line_length":152,"num_lines":156,"path":"/CollectDataForFace.py","repo_name":"ZEPORATH/faceRecognizer","src_encoding":"UTF-8","text":"import cv2\nimport logging\nimport numpy as np\nimport threading\nimport math\nimport time\nfrom Queue import Queue\nimport configData\n\nbuffer_queue = Queue() # Create a buffer Queue of size 128 frames\n\n\n#Creates directoru structure for new user.\ndef create_new_Record(user_ID):\n import os\n recordPath = configData.PARENT_PATH+user_ID\n\n if not os.path.exists(recordPath):\n try:\n os.makedirs(recordPath)\n return os.path.dirname(recordPath)\n except OSError as exc:\n raise exc\n except Exception as e:\n raise e\n else:\n return configData.FOLDER_EXISTS\n\ndef DetectEyes(Image):\n glass_cas = cv2.CascadeClassifier(configData.HAAR_GLASS_EYE_CASCADE)\n face = cv2.CascadeClassifier(configData.HAAR_FACE_CASCADE)\n Theta = 0\n rows, cols = Image.shape\n glass = glass_cas.detectMultiScale(Image) # This ditects the eyes\n for (sx, sy, sw, sh) in glass:\n if glass.shape[0] == 2: # The Image should have 2 eyes\n if glass[1][0] > glass[0][0]:\n DY = ((glass[1][1] + glass[1][3] / 2) - (glass[0][1] + glass[0][3] / 2)) # Height diffrence between the glass\n DX = ((glass[1][0] + glass[1][2] / 2) - glass[0][0] + (glass[0][2] / 2)) # Width diffrance between the glass\n else:\n DY = (-(glass[1][1] + glass[1][3] / 2) + (glass[0][1] + glass[0][3] / 2)) # Height diffrence between the glass\n DX = (-(glass[1][0] + glass[1][2] / 2) + glass[0][0] + (glass[0][2] / 2)) # Width diffrance between the glass\n\n if (DX != 0.0) and (DY != 0.0): # Make sure the the change happens only if there is an angle\n Theta = math.degrees(math.atan(round(float(DY) / float(DX), 2))) # Find the Angle\n print \"Theta \" + str(Theta)\n\n M = cv2.getRotationMatrix2D((cols / 2, rows / 2), Theta, 1) # Find the Rotation Matrix\n Image = cv2.warpAffine(Image, M, (cols, rows))\n # cv2.imshow('ROTATED', Image) # UNCOMMENT IF YOU WANT TO SEE THE\n\n Face2 = face.detectMultiScale(Image, 1.3, 5) # This detects a face in the image\n for (FaceX, FaceY, FaceWidth, FaceHeight) in Face2:\n CroppedFace = Image[FaceY: FaceY + FaceHeight, FaceX: FaceX + FaceWidth]\n return CroppedFace\n\n\n\ndef captureFacePhoto(capture_device, position_ID):\n face_cascade = cv2.CascadeClassifier(configData.HAAR_FACE_CASCADE)\n eye_cascade = cv2.CascadeClassifier(configData.HAAR_EYE_CASCADE)\n print position_ID\n time.sleep(1)\n while True:\n # ret,image = capture_device.read()\n image = capture_device.get()\n # image = capture_device.frame.copy()\n gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)\n if np.average(gray)> 110:\n faces = face_cascade.detectMultiScale(gray, 1.3, 5) # Detect the faces and store the positions\n for (x, y, w, h) in faces: # Frames LOCATION X, Y WIDTH, HEIGHT\n FaceImage = gray[y - int(h / 2): y + int(h * 1.5),\n x - int(x / 2): x + int(w * 1.5)] # The Face is isolated and cropped\n\n ResultImage = DetectEyes(FaceImage)\n print 'Face detected'\n if ResultImage is not None:\n frame = ResultImage # Show the detected faces\n else:\n frame = gray[y: y + h, x: x + w]\n\n cv2.imwrite(position_ID+'.jpg',frame)\n img_path = position_ID+'.jpg'\n return (img_path,configData.SUCCESS)\n return configData.NO_FACE_FOUND\n else:\n return configData.BRIGHTNESS_LOW\n\ndef createCaptureDevice(source=0):\n cap = cv2.VideoCapture(source)\n return cap\n\ndef showLiveFeed(frame_buffer):\n while True:\n # ret,image = capture_device.read()\n # capture_device.stream()\n image = frame_buffer.get()\n cv2.namedWindow(\"LiveFeed\")\n cv2.imshow(\"LiveFeed\",image)\n if cv2.waitKey(1) & 0xFF == (ord('q')):\n break\n\n return\n\ndef daemonVideoCapture(capture_device,queue):\n success, image = capture_device.read()\n while success:\n success,image = capture_device.read()\n queue.put(image)\n\ndef init_threads():\n videoThread = threading.Thread(target=daemonVideoCapture,args = (captureDevice,buffer_queue,))\n videoThread.setDaemon(True)\n videoThread.start()\n\n liveStreamThread = threading.Thread(target=showLiveFeed, args=(buffer_queue,))\n liveStreamThread.start()\n\n\ndef Main():\n # from camera import VideoCamera\n captureDevice = createCaptureDevice(0)\n\n videoThread = threading.Thread(target=daemonVideoCapture,args = (captureDevice,buffer_queue,))\n videoThread.setDaemon(True)\n videoThread.start()\n\n try:\n ret = create_new_Record('UID_001')\n print ret\n except OSError as e:\n print e\n except Exception as e:\n print e\n\n t1 = threading.Thread(target=showLiveFeed, args=(buffer_queue,))\n t1.start()\n count = 0\n print 'Ready for capture faces \\nPress \"c\" for Capture'\n while True:\n\n ch = str(raw_input('Press \"c\" for capture'))\n if ch == 'c' and count<=10:\n print 'Wait for 1 second for capture of face features'\n path = configData.PARENT_PATH+'UID_001/'+str(count)\n # captureFacePhoto(captureDevice,path)\n captureFacePhoto(buffer_queue,path)\n count+=1\n elif count >10 :\n print 'DataSet complete, need only 10 photos'\n return\n\n\n\nif __name__==\"__main__\":\n Main()\n "},{"alpha_fraction":0.7508650422096252,"alphanum_fraction":0.7508650422096252,"avg_line_length":31.22222137451172,"blob_id":"980b54598b1f31c97cd5f2e9911ece97c32920f3","content_id":"2c13ed2792f7005f09205c27910f4ac24f0cf97e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":289,"license_type":"no_license","max_line_length":67,"num_lines":9,"path":"/configData.py","repo_name":"ZEPORATH/faceRecognizer","src_encoding":"UTF-8","text":"FOLDER_EXISTS = True\nSUCCESS = True\nNO_FACE_FOUND = True\nBRIGHTNESS_LOW = True\n\nPARENT_PATH = './dataSets/'\nHAAR_FACE_CASCADE = './Haar/haarcascade_frontalface_default.xml'\nHAAR_EYE_CASCADE = './Haar/haarcascade_eye.xml'\nHAAR_GLASS_EYE_CASCADE = 'Haar/haarcascade_eye_tree_eyeglasses.xml'"}],"string":"[\n {\n \"alpha_fraction\": 0.5440509915351868,\n \"alphanum_fraction\": 0.5633495450019836,\n \"avg_line_length\": 37.17307662963867,\n \"blob_id\": \"cfd5a824534cf04207b22c6161ba81886b87be2b\",\n \"content_id\": \"80970cf60d7cfc59d0db351a2d5e428b19a5521c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5959,\n \"license_type\": \"no_license\",\n \"max_line_length\": 152,\n \"num_lines\": 156,\n \"path\": \"/CollectDataForFace.py\",\n \"repo_name\": \"ZEPORATH/faceRecognizer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import cv2\\nimport logging\\nimport numpy as np\\nimport threading\\nimport math\\nimport time\\nfrom Queue import Queue\\nimport configData\\n\\nbuffer_queue = Queue() # Create a buffer Queue of size 128 frames\\n\\n\\n#Creates directoru structure for new user.\\ndef create_new_Record(user_ID):\\n import os\\n recordPath = configData.PARENT_PATH+user_ID\\n\\n if not os.path.exists(recordPath):\\n try:\\n os.makedirs(recordPath)\\n return os.path.dirname(recordPath)\\n except OSError as exc:\\n raise exc\\n except Exception as e:\\n raise e\\n else:\\n return configData.FOLDER_EXISTS\\n\\ndef DetectEyes(Image):\\n glass_cas = cv2.CascadeClassifier(configData.HAAR_GLASS_EYE_CASCADE)\\n face = cv2.CascadeClassifier(configData.HAAR_FACE_CASCADE)\\n Theta = 0\\n rows, cols = Image.shape\\n glass = glass_cas.detectMultiScale(Image) # This ditects the eyes\\n for (sx, sy, sw, sh) in glass:\\n if glass.shape[0] == 2: # The Image should have 2 eyes\\n if glass[1][0] > glass[0][0]:\\n DY = ((glass[1][1] + glass[1][3] / 2) - (glass[0][1] + glass[0][3] / 2)) # Height diffrence between the glass\\n DX = ((glass[1][0] + glass[1][2] / 2) - glass[0][0] + (glass[0][2] / 2)) # Width diffrance between the glass\\n else:\\n DY = (-(glass[1][1] + glass[1][3] / 2) + (glass[0][1] + glass[0][3] / 2)) # Height diffrence between the glass\\n DX = (-(glass[1][0] + glass[1][2] / 2) + glass[0][0] + (glass[0][2] / 2)) # Width diffrance between the glass\\n\\n if (DX != 0.0) and (DY != 0.0): # Make sure the the change happens only if there is an angle\\n Theta = math.degrees(math.atan(round(float(DY) / float(DX), 2))) # Find the Angle\\n print \\\"Theta \\\" + str(Theta)\\n\\n M = cv2.getRotationMatrix2D((cols / 2, rows / 2), Theta, 1) # Find the Rotation Matrix\\n Image = cv2.warpAffine(Image, M, (cols, rows))\\n # cv2.imshow('ROTATED', Image) # UNCOMMENT IF YOU WANT TO SEE THE\\n\\n Face2 = face.detectMultiScale(Image, 1.3, 5) # This detects a face in the image\\n for (FaceX, FaceY, FaceWidth, FaceHeight) in Face2:\\n CroppedFace = Image[FaceY: FaceY + FaceHeight, FaceX: FaceX + FaceWidth]\\n return CroppedFace\\n\\n\\n\\ndef captureFacePhoto(capture_device, position_ID):\\n face_cascade = cv2.CascadeClassifier(configData.HAAR_FACE_CASCADE)\\n eye_cascade = cv2.CascadeClassifier(configData.HAAR_EYE_CASCADE)\\n print position_ID\\n time.sleep(1)\\n while True:\\n # ret,image = capture_device.read()\\n image = capture_device.get()\\n # image = capture_device.frame.copy()\\n gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)\\n if np.average(gray)> 110:\\n faces = face_cascade.detectMultiScale(gray, 1.3, 5) # Detect the faces and store the positions\\n for (x, y, w, h) in faces: # Frames LOCATION X, Y WIDTH, HEIGHT\\n FaceImage = gray[y - int(h / 2): y + int(h * 1.5),\\n x - int(x / 2): x + int(w * 1.5)] # The Face is isolated and cropped\\n\\n ResultImage = DetectEyes(FaceImage)\\n print 'Face detected'\\n if ResultImage is not None:\\n frame = ResultImage # Show the detected faces\\n else:\\n frame = gray[y: y + h, x: x + w]\\n\\n cv2.imwrite(position_ID+'.jpg',frame)\\n img_path = position_ID+'.jpg'\\n return (img_path,configData.SUCCESS)\\n return configData.NO_FACE_FOUND\\n else:\\n return configData.BRIGHTNESS_LOW\\n\\ndef createCaptureDevice(source=0):\\n cap = cv2.VideoCapture(source)\\n return cap\\n\\ndef showLiveFeed(frame_buffer):\\n while True:\\n # ret,image = capture_device.read()\\n # capture_device.stream()\\n image = frame_buffer.get()\\n cv2.namedWindow(\\\"LiveFeed\\\")\\n cv2.imshow(\\\"LiveFeed\\\",image)\\n if cv2.waitKey(1) & 0xFF == (ord('q')):\\n break\\n\\n return\\n\\ndef daemonVideoCapture(capture_device,queue):\\n success, image = capture_device.read()\\n while success:\\n success,image = capture_device.read()\\n queue.put(image)\\n\\ndef init_threads():\\n videoThread = threading.Thread(target=daemonVideoCapture,args = (captureDevice,buffer_queue,))\\n videoThread.setDaemon(True)\\n videoThread.start()\\n\\n liveStreamThread = threading.Thread(target=showLiveFeed, args=(buffer_queue,))\\n liveStreamThread.start()\\n\\n\\ndef Main():\\n # from camera import VideoCamera\\n captureDevice = createCaptureDevice(0)\\n\\n videoThread = threading.Thread(target=daemonVideoCapture,args = (captureDevice,buffer_queue,))\\n videoThread.setDaemon(True)\\n videoThread.start()\\n\\n try:\\n ret = create_new_Record('UID_001')\\n print ret\\n except OSError as e:\\n print e\\n except Exception as e:\\n print e\\n\\n t1 = threading.Thread(target=showLiveFeed, args=(buffer_queue,))\\n t1.start()\\n count = 0\\n print 'Ready for capture faces \\\\nPress \\\"c\\\" for Capture'\\n while True:\\n\\n ch = str(raw_input('Press \\\"c\\\" for capture'))\\n if ch == 'c' and count<=10:\\n print 'Wait for 1 second for capture of face features'\\n path = configData.PARENT_PATH+'UID_001/'+str(count)\\n # captureFacePhoto(captureDevice,path)\\n captureFacePhoto(buffer_queue,path)\\n count+=1\\n elif count >10 :\\n print 'DataSet complete, need only 10 photos'\\n return\\n\\n\\n\\nif __name__==\\\"__main__\\\":\\n Main()\\n \"\n },\n {\n \"alpha_fraction\": 0.7508650422096252,\n \"alphanum_fraction\": 0.7508650422096252,\n \"avg_line_length\": 31.22222137451172,\n \"blob_id\": \"980b54598b1f31c97cd5f2e9911ece97c32920f3\",\n \"content_id\": \"2c13ed2792f7005f09205c27910f4ac24f0cf97e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 289,\n \"license_type\": \"no_license\",\n \"max_line_length\": 67,\n \"num_lines\": 9,\n \"path\": \"/configData.py\",\n \"repo_name\": \"ZEPORATH/faceRecognizer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"FOLDER_EXISTS = True\\nSUCCESS = True\\nNO_FACE_FOUND = True\\nBRIGHTNESS_LOW = True\\n\\nPARENT_PATH = './dataSets/'\\nHAAR_FACE_CASCADE = './Haar/haarcascade_frontalface_default.xml'\\nHAAR_EYE_CASCADE = './Haar/haarcascade_eye.xml'\\nHAAR_GLASS_EYE_CASCADE = 'Haar/haarcascade_eye_tree_eyeglasses.xml'\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2984181,"cells":{"repo_name":{"kind":"string","value":"KamilB91/haccp-control-system"},"repo_url":{"kind":"string","value":"https://github.com/KamilB91/haccp-control-system"},"snapshot_id":{"kind":"string","value":"9b163faeb85137ddc5aa0f0b3eb029aad7aadc6d"},"revision_id":{"kind":"string","value":"382526b5f1e7cd95fa31bb3d6c3da7f616542784"},"directory_id":{"kind":"string","value":"657bca99c0fe7772bdd13317e9bad870a549068b"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-02-05T08:29:34.316104","string":"2023-02-05T08:29:34.316104"},"revision_date":{"kind":"timestamp","value":"2020-12-09T05:46:43","string":"2020-12-09T05:46:43"},"committer_date":{"kind":"timestamp","value":"2020-12-09T05:46:43","string":"2020-12-09T05:46:43"},"github_id":{"kind":"number","value":313834053,"string":"313,834,053"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6530612111091614,"alphanum_fraction":0.6530612111091614,"avg_line_length":48,"blob_id":"f0f574217106e6d14ba006354b8887b128aec573","content_id":"72040dd2339c648d0d3be99b865bc966dbeedbe8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":49,"license_type":"no_license","max_line_length":48,"num_lines":1,"path":"/config.py","repo_name":"KamilB91/haccp-control-system","src_encoding":"UTF-8","text":"INGREDIENT_CATEGORY = ['Frozen', 'Raw', 'Spice']\n"},{"alpha_fraction":0.6188490390777588,"alphanum_fraction":0.6209341287612915,"avg_line_length":22.979999542236328,"blob_id":"6156b66b79e81d5e4f6ac2c8296bce9978c38743","content_id":"661f7ded638e234189222816210ab9dff2eb5255","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2398,"license_type":"no_license","max_line_length":91,"num_lines":100,"path":"/forms.py","repo_name":"KamilB91/haccp-control-system","src_encoding":"UTF-8","text":"from flask_wtf import FlaskForm, Form\nfrom wtforms import (StringField, widgets, SelectMultipleField, FormField,\n SelectField)\nfrom wtforms.fields.html5 import DateField, TimeField, IntegerField\nfrom wtforms.validators import DataRequired, ValidationError, Length\nfrom config import INGREDIENT_CATEGORY\n\nfrom models import Product, Ingredient\n\n\ndef product_exists(form, field):\n if Product.select().where(Product.name == field.data).exists():\n raise ValidationError('This product already exists in database.')\n\n\ndef ingredient_exists(form, field):\n if Ingredient.select().where(Ingredient.name == field.data).exists():\n raise ValidationError('This ingredient already exists in database.')\n\n\nclass AddIngredientForm(FlaskForm):\n name = StringField(\n 'Ingredient name',\n validators=[\n DataRequired(),\n Length(min=3),\n ingredient_exists\n ]\n )\n batch_code = StringField(\n 'Batch code',\n validators=[\n DataRequired(),\n Length(min=3)\n ]\n )\n category = SelectField('Ingredient category', choices=[x for x in INGREDIENT_CATEGORY])\n\n\nclass MultiCheckboxField(SelectMultipleField):\n widget = widgets.ListWidget(prefix_label=False)\n option_widget = widgets.CheckboxInput()\n\n\nclass IngredientCheckboxForm(Form):\n ingredient_checkbox = MultiCheckboxField()\n\n\nclass AddProductForm(FlaskForm):\n name = StringField(\n 'Product name',\n validators=[\n DataRequired(),\n Length(min=3),\n product_exists\n ]\n )\n ingredients_checkbox = FormField(IngredientCheckboxForm)\n\n\nclass AddBatchCode(FlaskForm):\n batch_code = StringField(\n 'New Batch code',\n validators=[\n DataRequired(),\n Length(min=3)\n ]\n )\n\n\nclass PickProduct(FlaskForm):\n product = SelectField()\n\n\nclass ProcessDetails(FlaskForm):\n start_time = TimeField(\n 'start time',\n validators=[\n DataRequired()\n ]\n )\n finish_time = TimeField(\n 'finish time',\n validators=[\n DataRequired()\n ]\n )\n temperature = IntegerField(\n 'temp.',\n validators=[\n DataRequired()\n ]\n )\n\n\nclass SelectDateForm(FlaskForm):\n date = DateField(\n 'Select Date',\n format='%Y-%m-%d'\n )\n"},{"alpha_fraction":0.6134212613105774,"alphanum_fraction":0.6134212613105774,"avg_line_length":24.82962989807129,"blob_id":"a3d38975fdd6c92a890e9f75af29b66a706028ae","content_id":"153f6dd75579588cf0dc9ae21c4c073756c7a69f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3487,"license_type":"no_license","max_line_length":109,"num_lines":135,"path":"/models.py","repo_name":"KamilB91/haccp-control-system","src_encoding":"UTF-8","text":"import datetime\n\nfrom peewee import *\n\nDB = SqliteDatabase('database.db')\n\n\nclass BaseModel(Model):\n class Meta:\n database = DB\n\n\nclass User(BaseModel):\n username = CharField()\n password = CharField()\n\n\n# models to create relations and control batch codes\nclass Product(BaseModel):\n name = CharField(unique=True)\n\n def get_ingredients(self):\n return (\n ProductIngredient.select().where(ProductIngredient.product == self)\n )\n\n @classmethod\n def create_product(cls, name):\n try:\n with DB.transaction():\n cls.create(\n name=name\n )\n except IntegrityError:\n raise ValueError('Product already exists')\n\n\nclass Ingredient(BaseModel):\n name = CharField(unique=True)\n category = CharField()\n\n def get_batch_codes(self):\n return BatchCode.select().where(BatchCode.ingredient == self)\n\n @classmethod\n def create_ingredient(cls, name, category):\n try:\n with DB.transaction():\n x = cls.create(\n name=name,\n category=category\n )\n return x\n except IntegrityError:\n raise ValueError('Product already exists')\n\n\nclass BatchCode(BaseModel):\n batch_code = CharField()\n ingredient = ForeignKeyField(Ingredient, backref='batch_codes')\n added_at = DateTimeField(default=datetime.datetime.now)\n active = BooleanField(default=True)\n\n class Meta:\n order_by = ('-added_at',)\n\n\nclass ProductIngredient(BaseModel):\n product = ForeignKeyField(Product, backref='products')\n ingredient = ForeignKeyField(Ingredient, backref='ingredients')\n\n\nclass Process(BaseModel):\n product_name = CharField()\n process_type = CharField(null=True)\n start_time = TimeField(null=True)\n finish_time = TimeField(null=True)\n completed= BooleanField(default=False)\n temperature = IntegerField(null=True)\n date = DateField()\n\n\nclass UsedIngredient(BaseModel):\n name = CharField()\n batch = CharField()\n type = CharField()\n date = DateField()\n\n @classmethod\n def create_used_ingredient(cls, name, batch, type, date):\n if not UsedIngredient.get_or_none(name=name, batch=batch, date=date):\n with DB.transaction():\n cls.create(\n name=name,\n batch=batch,\n type=type,\n date=date,\n )\n\n\nclass ProductionDay(BaseModel):\n date = DateField()\n batch = CharField()\n\n def cooked_products(self):\n return Process.select().where(Process.date == self.date)\n\n def used_ingredients(self):\n return UsedIngredient.select().where(UsedIngredient.date == self.date)\n\n\ndef initialize():\n if not DB.is_closed():\n DB.close()\n\n DB.connect()\n DB.create_tables([User, Product, Ingredient, BatchCode, ProductIngredient,\n Process, UsedIngredient, ProductionDay], safe=True)\n DB.close()\n\n\ndef test():\n \"\"\"\n product = Product.get(name='Lasagne')\n ingredients = product.get_ingredients()\n for i in ingredients:\n print(i.product.name, i.ingredient.name)\n \"\"\"\n \"\"\"\n DB.connect()\n processes = Process.select()\n for process in processes:\n print(process.id, process.process_type, process.start_time, process.finish_time, process.temperature,\n process.product.id, process.product.name)\n \"\"\"\n"},{"alpha_fraction":0.6078612208366394,"alphanum_fraction":0.6082802414894104,"avg_line_length":39.44745635986328,"blob_id":"04400bcee793b6ea4a3d497d40436e0db0bfd6dd","content_id":"4a122356d8c3d3e6b3c217ef9a51bf684ce010d3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11932,"license_type":"no_license","max_line_length":133,"num_lines":295,"path":"/app.py","repo_name":"KamilB91/haccp-control-system","src_encoding":"UTF-8","text":"from flask import Flask, url_for, render_template, g, flash, redirect, request\n# from flask_login import LoginManager, login_user, logout_user, login_required, current_user\nimport datetime\nimport models\nimport forms\nfrom config import INGREDIENT_CATEGORY\nimport tables\n\napp = Flask(__name__)\napp.secret_key = 'nHJBKJhkj3uhun3enml,;LK@JiwnNme,,e2moke2e,l1moiouUu2m3oiIIOII(&&uh42*@'\n\nmodels.initialize()\nmodels.test()\n\n# login_manager = LoginManager()\n# login_manager.init_app(app)\n\n\n# @login_manager.user_loader\n# def load_user(userid):\n #try:\n #return models.User.get(models.User.id == userid)\n #except models.DoesNotExist:\n #return None\n\n\n@app.before_request\ndef before_request():\n g.db = models.DB\n g.db.connect()\n # g.user = current_user\n\n\n@app.after_request\ndef after_request(response):\n g.db.close()\n return response\n\n\n@app.route('/')\ndef index():\n return render_template('layout.html')\n\n\n@app.route('/production_day/<process_type>')\ndef production_day(process_type):\n models.ProductionDay.create(\n date=datetime.date.today(),\n batch=datetime.date.today().strftime('%y%j')\n )\n return redirect(url_for('process', process_type=process_type))\n\n\n@app.route('/add_ingredient', methods=('GET', 'POST'))\ndef add_ingredient():\n form = forms.AddIngredientForm()\n if form.validate_on_submit():\n flash(\"Ingredient added\")\n ingredient = models.Ingredient.create_ingredient(\n name=form.name.data,\n category=form.category.data\n )\n models.BatchCode.create(\n batch_code=form.batch_code.data,\n ingredient=ingredient\n )\n return redirect(url_for('add_ingredient'))\n return render_template('add_ingredient.html', form=form)\n\n\n@app.route('/add_product', methods=('GET', 'POST'))\ndef add_product():\n forms.IngredientCheckboxForm.ingredient_checkbox = forms.MultiCheckboxField(\n 'Ingredients', choices=[(item.name, item.name) for item in models.Ingredient.select()]\n )\n form = forms.AddProductForm()\n if form.validate_on_submit():\n flash(\"Product added\")\n models.Product.create_product(name=form.name.data)\n for checkbox_data in form.ingredients_checkbox.data['ingredient_checkbox']:\n models.ProductIngredient.create(\n product=models.Product.get(name=form.name.data),\n ingredient=models.Ingredient.get(name=checkbox_data)\n )\n return redirect(url_for('product_list'))\n return render_template('add_product.html', form=form)\n\n\n@app.route('/product_list')\n@app.route('/product_list/<product>')\ndef product_list(product=None):\n if product:\n product = models.Product.get(name=product)\n ingredients = (x.ingredient for x in product.get_ingredients())\n return render_template('product.html',\n product=product,\n ingredients=ingredients)\n else:\n products = models.Product.select()\n return render_template('products_list.html', products=products)\n\n\n@app.route('/ingredient/<ingredient_id>', methods=['GET', 'POST'])\ndef ingredient(ingredient_id):\n form = forms.AddBatchCode()\n active_batch_table = tables.ActiveBatchCodeTable\n deactive_batch_table = tables.DeactiveBatchCodeTable\n ingredient = models.Ingredient.get(id=ingredient_id)\n active_batch_codes = [dict(id=batch_code.id,\n ingredient_id=ingredient.id,\n batch_code=batch_code.batch_code) for batch_code in ingredient.batch_codes if batch_code.active]\n deactive_batch_codes = [dict(id=batch_code.id,\n batch_code=batch_code.batch_code) for batch_code in ingredient.batch_codes if not batch_code.active]\n if form.validate_on_submit():\n models.BatchCode.create(\n batch_code=form.batch_code.data,\n ingredient=ingredient\n )\n return redirect(url_for('ingredient',\n ingredient_id=ingredient_id,\n table=active_batch_table(active_batch_codes),\n not_active_table=deactive_batch_table(deactive_batch_codes),\n form=form,\n ingredient_name=ingredient.name\n )\n )\n return render_template('ingredient.html',\n table=active_batch_table(active_batch_codes),\n not_active_table=deactive_batch_table(deactive_batch_codes),\n form=form,\n ingredient_name=ingredient.name\n )\n\n\n@app.route('/ingredients_list')\ndef ingredients_list():\n frozen_table = tables.TraceTable\n raw_table = tables.TraceTable\n spice_table = tables.TraceTable\n ingredients = models.Ingredient.select()\n frozen_ingredients = []\n raw_ingredients = []\n spice_ingredients = []\n for ingredient in ingredients:\n batch_code = [batch_code.batch_code for batch_code in ingredient.batch_codes if batch_code.active]\n if ingredient.category == 'Frozen':\n frozen_ingredients.append(dict(id=ingredient.id, name=ingredient.name, batch=batch_code[0]))\n elif ingredient.category == 'Raw':\n raw_ingredients.append(dict(id=ingredient.id, name=ingredient.name, batch=batch_code[0]))\n elif ingredient.category == 'Spice':\n spice_ingredients.append(dict(id=ingredient.id, name=ingredient.name, batch=batch_code[0]))\n return render_template('ingredients_list.html',\n frozen_table=frozen_table(frozen_ingredients),\n raw_table=raw_table(raw_ingredients),\n spice_table=spice_table(spice_ingredients)\n )\n\n\n@app.route('/deactivate_batch_code/<batch_code_id>/<ingredient_id>', methods=['GET', 'POST'])\ndef deactivate_batch_code(batch_code_id, ingredient_id):\n batch_code = models.BatchCode.get(id=batch_code_id)\n batch_code.active = False\n batch_code.save()\n return redirect(url_for('ingredient', ingredient_id=ingredient_id))\n\n\n@app.route('/process/<process_type>', methods=['POST', 'GET'])\ndef process(process_type):\n today = models.ProductionDay.get_or_none(date=datetime.date.today())\n forms.PickProduct.product = forms.SelectField('Product',\n choices=[x.name for x in models.Product.select()])\n form = forms.PickProduct()\n process = None\n\n if form.validate_on_submit():\n # this form in process.html is not provided for Packing room(process_type=cooling)\n # creates a product to be cooked and its first process\n if process_type == 'assembly-cooking':\n process = models.Process.create(\n product_name=form.product.data,\n date=datetime.date.today()\n )\n elif process_type == 'cooking':\n # if process_type came from the kitchen then process is created with process_type of 'cooking'\n process = models.Process.create(\n product_name=form.product.data,\n process_type=process_type,\n date=datetime.date.today()\n )\n # TODO .join method\n used_ingredients = [x.ingredient for x in models.Product.get(name=process.product_name).get_ingredients()]\n for ingredient in used_ingredients:\n batch_code = [batch for batch in ingredient.get_batch_codes() if batch.active]\n print(batch_code[0].batch_code)\n models.UsedIngredient.create_used_ingredient(\n name=ingredient.name,\n batch=batch_code[0].batch_code,\n type=ingredient.category,\n date=datetime.date.today()\n )\n\n # if process_type comes from assembly, process creates without process type,\n # that will be chosen later in update_process via select part of form for each product process in processes.html\n\n processes = models.Process.select().where(models.Process.completed == False)\n for process in processes:\n print(process.product_name, process.process_type, process.completed)\n\n return render_template('process.html',\n form=form,\n processes=processes,\n process_type=process_type,\n production_day=today)\n\n\n@app.route('/update_process/<process_id>', methods=['POST', 'GET'])\ndef update_process(process_id):\n process_to_update = models.Process.get(id=process_id)\n if request.method == 'POST':\n process_to_update.start_time = request.form['start']\n process_to_update.finish_time = request.form['finish']\n process_to_update.temperature = request.form['temp']\n process_to_update.completed = True\n\n if process_to_update.process_type == 'cooking':\n models.Process.create(\n product_name=process_to_update.product_name,\n date=datetime.date.today()\n )\n elif process_to_update.process_type == 'assembly-cooking':\n models.Process.create(\n product_name=process_to_update.product_name,\n process_type='cooling',\n date=datetime.date.today()\n )\n return_to = process_to_update.process_type\n try:\n if request.form['process']:\n process_to_update.process_type = request.form['process']\n return_to = 'assembly-cooking'\n if request.form['process'] == 'assembly-assembly':\n models.Process.create(\n product_name=process_to_update.product_name,\n process_type='assembly-cooking',\n date=datetime.date.today()\n )\n elif request.form['process'] == 'cooling-cooling':\n models.Process.create(\n product_name=process_to_update.product_name,\n process_type='cooling',\n date=datetime.date.today()\n )\n except KeyError:\n pass\n\n process_to_update.save()\n\n return redirect(url_for('process', process_type=return_to))\n\n\n@app.route('/select_day', methods=['GET', 'POST'])\ndef select_day():\n form = forms.SelectDateForm()\n select_production_day = models.ProductionDay.select()\n if form.validate_on_submit():\n select_production_day = models.ProductionDay.select().where(models.ProductionDay.date == form.date.data)\n return render_template('select_day.html',\n form=form,\n select_production_day=select_production_day)\n\n\n@app.route('/show_day_details/<day_id>')\ndef show_day_details(day_id):\n selected_day = models.ProductionDay.get(id=day_id)\n cooked_products = models.Process.select().where(models.Process.date == selected_day.date)\n return render_template('show_day_details.html',\n selected_day=selected_day,\n cooked_products=cooked_products)\n\n\n@app.route('/ingredient_traceability/<day_id>')\ndef ingredient_traceability(day_id):\n table = tables.IngredientTraceabilityTable\n selected_day = models.ProductionDay.get(id=day_id)\n cooked_products = models.Process.select().where(models.Process.date == selected_day.date)\n used_ingredients = models.UsedIngredient.select().where(models.UsedIngredient.date == selected_day.date)\n return render_template('ingredient_traceability.html',\n selected_day=selected_day,\n cooked_products=cooked_products,\n categories=INGREDIENT_CATEGORY,\n table=table(used_ingredients))\n\n\nif __name__ == '__main__':\n app.run(threaded=True)\n"},{"alpha_fraction":0.686246395111084,"alphanum_fraction":0.686246395111084,"avg_line_length":25.846153259277344,"blob_id":"0c26daf83919eb11f125c8223a5f7e9dd34bc8a6","content_id":"a090f142e64c54573c3eb5cee64cb86cdeaebeb3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":698,"license_type":"no_license","max_line_length":128,"num_lines":26,"path":"/tables.py","repo_name":"KamilB91/haccp-control-system","src_encoding":"UTF-8","text":"from flask_table import Table, Col, LinkCol, ButtonCol\n\n\nclass IngredientTraceabilityTable(Table):\n name = Col('Name')\n batch = Col('Batch')\n\n\nclass AssemblyTable(Table):\n product_name = Col('Name')\n start_time = Col('Start time')\n finish_time = Col('Assembly finish time')\n\n\nclass TraceTable(Table):\n name = LinkCol('Name', 'ingredient', url_kwargs=dict(ingredient_id='id'), attr='name')\n batch = Col('Batch code')\n\n\nclass ActiveBatchCodeTable(Table):\n batch_code = Col('New')\n spent_button = ButtonCol('Old', 'deactivate_batch_code', url_kwargs=dict(batch_code_id='id', ingredient_id='ingredient_id'))\n\n\nclass DeactiveBatchCodeTable(Table):\n batch_code = Col('Old')\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6530612111091614,\n \"alphanum_fraction\": 0.6530612111091614,\n \"avg_line_length\": 48,\n \"blob_id\": \"f0f574217106e6d14ba006354b8887b128aec573\",\n \"content_id\": \"72040dd2339c648d0d3be99b865bc966dbeedbe8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 49,\n \"license_type\": \"no_license\",\n \"max_line_length\": 48,\n \"num_lines\": 1,\n \"path\": \"/config.py\",\n \"repo_name\": \"KamilB91/haccp-control-system\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"INGREDIENT_CATEGORY = ['Frozen', 'Raw', 'Spice']\\n\"\n },\n {\n \"alpha_fraction\": 0.6188490390777588,\n \"alphanum_fraction\": 0.6209341287612915,\n \"avg_line_length\": 22.979999542236328,\n \"blob_id\": \"6156b66b79e81d5e4f6ac2c8296bce9978c38743\",\n \"content_id\": \"661f7ded638e234189222816210ab9dff2eb5255\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2398,\n \"license_type\": \"no_license\",\n \"max_line_length\": 91,\n \"num_lines\": 100,\n \"path\": \"/forms.py\",\n \"repo_name\": \"KamilB91/haccp-control-system\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from flask_wtf import FlaskForm, Form\\nfrom wtforms import (StringField, widgets, SelectMultipleField, FormField,\\n SelectField)\\nfrom wtforms.fields.html5 import DateField, TimeField, IntegerField\\nfrom wtforms.validators import DataRequired, ValidationError, Length\\nfrom config import INGREDIENT_CATEGORY\\n\\nfrom models import Product, Ingredient\\n\\n\\ndef product_exists(form, field):\\n if Product.select().where(Product.name == field.data).exists():\\n raise ValidationError('This product already exists in database.')\\n\\n\\ndef ingredient_exists(form, field):\\n if Ingredient.select().where(Ingredient.name == field.data).exists():\\n raise ValidationError('This ingredient already exists in database.')\\n\\n\\nclass AddIngredientForm(FlaskForm):\\n name = StringField(\\n 'Ingredient name',\\n validators=[\\n DataRequired(),\\n Length(min=3),\\n ingredient_exists\\n ]\\n )\\n batch_code = StringField(\\n 'Batch code',\\n validators=[\\n DataRequired(),\\n Length(min=3)\\n ]\\n )\\n category = SelectField('Ingredient category', choices=[x for x in INGREDIENT_CATEGORY])\\n\\n\\nclass MultiCheckboxField(SelectMultipleField):\\n widget = widgets.ListWidget(prefix_label=False)\\n option_widget = widgets.CheckboxInput()\\n\\n\\nclass IngredientCheckboxForm(Form):\\n ingredient_checkbox = MultiCheckboxField()\\n\\n\\nclass AddProductForm(FlaskForm):\\n name = StringField(\\n 'Product name',\\n validators=[\\n DataRequired(),\\n Length(min=3),\\n product_exists\\n ]\\n )\\n ingredients_checkbox = FormField(IngredientCheckboxForm)\\n\\n\\nclass AddBatchCode(FlaskForm):\\n batch_code = StringField(\\n 'New Batch code',\\n validators=[\\n DataRequired(),\\n Length(min=3)\\n ]\\n )\\n\\n\\nclass PickProduct(FlaskForm):\\n product = SelectField()\\n\\n\\nclass ProcessDetails(FlaskForm):\\n start_time = TimeField(\\n 'start time',\\n validators=[\\n DataRequired()\\n ]\\n )\\n finish_time = TimeField(\\n 'finish time',\\n validators=[\\n DataRequired()\\n ]\\n )\\n temperature = IntegerField(\\n 'temp.',\\n validators=[\\n DataRequired()\\n ]\\n )\\n\\n\\nclass SelectDateForm(FlaskForm):\\n date = DateField(\\n 'Select Date',\\n format='%Y-%m-%d'\\n )\\n\"\n },\n {\n \"alpha_fraction\": 0.6134212613105774,\n \"alphanum_fraction\": 0.6134212613105774,\n \"avg_line_length\": 24.82962989807129,\n \"blob_id\": \"a3d38975fdd6c92a890e9f75af29b66a706028ae\",\n \"content_id\": \"153f6dd75579588cf0dc9ae21c4c073756c7a69f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3487,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 135,\n \"path\": \"/models.py\",\n \"repo_name\": \"KamilB91/haccp-control-system\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import datetime\\n\\nfrom peewee import *\\n\\nDB = SqliteDatabase('database.db')\\n\\n\\nclass BaseModel(Model):\\n class Meta:\\n database = DB\\n\\n\\nclass User(BaseModel):\\n username = CharField()\\n password = CharField()\\n\\n\\n# models to create relations and control batch codes\\nclass Product(BaseModel):\\n name = CharField(unique=True)\\n\\n def get_ingredients(self):\\n return (\\n ProductIngredient.select().where(ProductIngredient.product == self)\\n )\\n\\n @classmethod\\n def create_product(cls, name):\\n try:\\n with DB.transaction():\\n cls.create(\\n name=name\\n )\\n except IntegrityError:\\n raise ValueError('Product already exists')\\n\\n\\nclass Ingredient(BaseModel):\\n name = CharField(unique=True)\\n category = CharField()\\n\\n def get_batch_codes(self):\\n return BatchCode.select().where(BatchCode.ingredient == self)\\n\\n @classmethod\\n def create_ingredient(cls, name, category):\\n try:\\n with DB.transaction():\\n x = cls.create(\\n name=name,\\n category=category\\n )\\n return x\\n except IntegrityError:\\n raise ValueError('Product already exists')\\n\\n\\nclass BatchCode(BaseModel):\\n batch_code = CharField()\\n ingredient = ForeignKeyField(Ingredient, backref='batch_codes')\\n added_at = DateTimeField(default=datetime.datetime.now)\\n active = BooleanField(default=True)\\n\\n class Meta:\\n order_by = ('-added_at',)\\n\\n\\nclass ProductIngredient(BaseModel):\\n product = ForeignKeyField(Product, backref='products')\\n ingredient = ForeignKeyField(Ingredient, backref='ingredients')\\n\\n\\nclass Process(BaseModel):\\n product_name = CharField()\\n process_type = CharField(null=True)\\n start_time = TimeField(null=True)\\n finish_time = TimeField(null=True)\\n completed= BooleanField(default=False)\\n temperature = IntegerField(null=True)\\n date = DateField()\\n\\n\\nclass UsedIngredient(BaseModel):\\n name = CharField()\\n batch = CharField()\\n type = CharField()\\n date = DateField()\\n\\n @classmethod\\n def create_used_ingredient(cls, name, batch, type, date):\\n if not UsedIngredient.get_or_none(name=name, batch=batch, date=date):\\n with DB.transaction():\\n cls.create(\\n name=name,\\n batch=batch,\\n type=type,\\n date=date,\\n )\\n\\n\\nclass ProductionDay(BaseModel):\\n date = DateField()\\n batch = CharField()\\n\\n def cooked_products(self):\\n return Process.select().where(Process.date == self.date)\\n\\n def used_ingredients(self):\\n return UsedIngredient.select().where(UsedIngredient.date == self.date)\\n\\n\\ndef initialize():\\n if not DB.is_closed():\\n DB.close()\\n\\n DB.connect()\\n DB.create_tables([User, Product, Ingredient, BatchCode, ProductIngredient,\\n Process, UsedIngredient, ProductionDay], safe=True)\\n DB.close()\\n\\n\\ndef test():\\n \\\"\\\"\\\"\\n product = Product.get(name='Lasagne')\\n ingredients = product.get_ingredients()\\n for i in ingredients:\\n print(i.product.name, i.ingredient.name)\\n \\\"\\\"\\\"\\n \\\"\\\"\\\"\\n DB.connect()\\n processes = Process.select()\\n for process in processes:\\n print(process.id, process.process_type, process.start_time, process.finish_time, process.temperature,\\n process.product.id, process.product.name)\\n \\\"\\\"\\\"\\n\"\n },\n {\n \"alpha_fraction\": 0.6078612208366394,\n \"alphanum_fraction\": 0.6082802414894104,\n \"avg_line_length\": 39.44745635986328,\n \"blob_id\": \"04400bcee793b6ea4a3d497d40436e0db0bfd6dd\",\n \"content_id\": \"4a122356d8c3d3e6b3c217ef9a51bf684ce010d3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11932,\n \"license_type\": \"no_license\",\n \"max_line_length\": 133,\n \"num_lines\": 295,\n \"path\": \"/app.py\",\n \"repo_name\": \"KamilB91/haccp-control-system\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from flask import Flask, url_for, render_template, g, flash, redirect, request\\n# from flask_login import LoginManager, login_user, logout_user, login_required, current_user\\nimport datetime\\nimport models\\nimport forms\\nfrom config import INGREDIENT_CATEGORY\\nimport tables\\n\\napp = Flask(__name__)\\napp.secret_key = 'nHJBKJhkj3uhun3enml,;LK@JiwnNme,,e2moke2e,l1moiouUu2m3oiIIOII(&&uh42*@'\\n\\nmodels.initialize()\\nmodels.test()\\n\\n# login_manager = LoginManager()\\n# login_manager.init_app(app)\\n\\n\\n# @login_manager.user_loader\\n# def load_user(userid):\\n #try:\\n #return models.User.get(models.User.id == userid)\\n #except models.DoesNotExist:\\n #return None\\n\\n\\n@app.before_request\\ndef before_request():\\n g.db = models.DB\\n g.db.connect()\\n # g.user = current_user\\n\\n\\n@app.after_request\\ndef after_request(response):\\n g.db.close()\\n return response\\n\\n\\n@app.route('/')\\ndef index():\\n return render_template('layout.html')\\n\\n\\n@app.route('/production_day/<process_type>')\\ndef production_day(process_type):\\n models.ProductionDay.create(\\n date=datetime.date.today(),\\n batch=datetime.date.today().strftime('%y%j')\\n )\\n return redirect(url_for('process', process_type=process_type))\\n\\n\\n@app.route('/add_ingredient', methods=('GET', 'POST'))\\ndef add_ingredient():\\n form = forms.AddIngredientForm()\\n if form.validate_on_submit():\\n flash(\\\"Ingredient added\\\")\\n ingredient = models.Ingredient.create_ingredient(\\n name=form.name.data,\\n category=form.category.data\\n )\\n models.BatchCode.create(\\n batch_code=form.batch_code.data,\\n ingredient=ingredient\\n )\\n return redirect(url_for('add_ingredient'))\\n return render_template('add_ingredient.html', form=form)\\n\\n\\n@app.route('/add_product', methods=('GET', 'POST'))\\ndef add_product():\\n forms.IngredientCheckboxForm.ingredient_checkbox = forms.MultiCheckboxField(\\n 'Ingredients', choices=[(item.name, item.name) for item in models.Ingredient.select()]\\n )\\n form = forms.AddProductForm()\\n if form.validate_on_submit():\\n flash(\\\"Product added\\\")\\n models.Product.create_product(name=form.name.data)\\n for checkbox_data in form.ingredients_checkbox.data['ingredient_checkbox']:\\n models.ProductIngredient.create(\\n product=models.Product.get(name=form.name.data),\\n ingredient=models.Ingredient.get(name=checkbox_data)\\n )\\n return redirect(url_for('product_list'))\\n return render_template('add_product.html', form=form)\\n\\n\\n@app.route('/product_list')\\n@app.route('/product_list/<product>')\\ndef product_list(product=None):\\n if product:\\n product = models.Product.get(name=product)\\n ingredients = (x.ingredient for x in product.get_ingredients())\\n return render_template('product.html',\\n product=product,\\n ingredients=ingredients)\\n else:\\n products = models.Product.select()\\n return render_template('products_list.html', products=products)\\n\\n\\n@app.route('/ingredient/<ingredient_id>', methods=['GET', 'POST'])\\ndef ingredient(ingredient_id):\\n form = forms.AddBatchCode()\\n active_batch_table = tables.ActiveBatchCodeTable\\n deactive_batch_table = tables.DeactiveBatchCodeTable\\n ingredient = models.Ingredient.get(id=ingredient_id)\\n active_batch_codes = [dict(id=batch_code.id,\\n ingredient_id=ingredient.id,\\n batch_code=batch_code.batch_code) for batch_code in ingredient.batch_codes if batch_code.active]\\n deactive_batch_codes = [dict(id=batch_code.id,\\n batch_code=batch_code.batch_code) for batch_code in ingredient.batch_codes if not batch_code.active]\\n if form.validate_on_submit():\\n models.BatchCode.create(\\n batch_code=form.batch_code.data,\\n ingredient=ingredient\\n )\\n return redirect(url_for('ingredient',\\n ingredient_id=ingredient_id,\\n table=active_batch_table(active_batch_codes),\\n not_active_table=deactive_batch_table(deactive_batch_codes),\\n form=form,\\n ingredient_name=ingredient.name\\n )\\n )\\n return render_template('ingredient.html',\\n table=active_batch_table(active_batch_codes),\\n not_active_table=deactive_batch_table(deactive_batch_codes),\\n form=form,\\n ingredient_name=ingredient.name\\n )\\n\\n\\n@app.route('/ingredients_list')\\ndef ingredients_list():\\n frozen_table = tables.TraceTable\\n raw_table = tables.TraceTable\\n spice_table = tables.TraceTable\\n ingredients = models.Ingredient.select()\\n frozen_ingredients = []\\n raw_ingredients = []\\n spice_ingredients = []\\n for ingredient in ingredients:\\n batch_code = [batch_code.batch_code for batch_code in ingredient.batch_codes if batch_code.active]\\n if ingredient.category == 'Frozen':\\n frozen_ingredients.append(dict(id=ingredient.id, name=ingredient.name, batch=batch_code[0]))\\n elif ingredient.category == 'Raw':\\n raw_ingredients.append(dict(id=ingredient.id, name=ingredient.name, batch=batch_code[0]))\\n elif ingredient.category == 'Spice':\\n spice_ingredients.append(dict(id=ingredient.id, name=ingredient.name, batch=batch_code[0]))\\n return render_template('ingredients_list.html',\\n frozen_table=frozen_table(frozen_ingredients),\\n raw_table=raw_table(raw_ingredients),\\n spice_table=spice_table(spice_ingredients)\\n )\\n\\n\\n@app.route('/deactivate_batch_code/<batch_code_id>/<ingredient_id>', methods=['GET', 'POST'])\\ndef deactivate_batch_code(batch_code_id, ingredient_id):\\n batch_code = models.BatchCode.get(id=batch_code_id)\\n batch_code.active = False\\n batch_code.save()\\n return redirect(url_for('ingredient', ingredient_id=ingredient_id))\\n\\n\\n@app.route('/process/<process_type>', methods=['POST', 'GET'])\\ndef process(process_type):\\n today = models.ProductionDay.get_or_none(date=datetime.date.today())\\n forms.PickProduct.product = forms.SelectField('Product',\\n choices=[x.name for x in models.Product.select()])\\n form = forms.PickProduct()\\n process = None\\n\\n if form.validate_on_submit():\\n # this form in process.html is not provided for Packing room(process_type=cooling)\\n # creates a product to be cooked and its first process\\n if process_type == 'assembly-cooking':\\n process = models.Process.create(\\n product_name=form.product.data,\\n date=datetime.date.today()\\n )\\n elif process_type == 'cooking':\\n # if process_type came from the kitchen then process is created with process_type of 'cooking'\\n process = models.Process.create(\\n product_name=form.product.data,\\n process_type=process_type,\\n date=datetime.date.today()\\n )\\n # TODO .join method\\n used_ingredients = [x.ingredient for x in models.Product.get(name=process.product_name).get_ingredients()]\\n for ingredient in used_ingredients:\\n batch_code = [batch for batch in ingredient.get_batch_codes() if batch.active]\\n print(batch_code[0].batch_code)\\n models.UsedIngredient.create_used_ingredient(\\n name=ingredient.name,\\n batch=batch_code[0].batch_code,\\n type=ingredient.category,\\n date=datetime.date.today()\\n )\\n\\n # if process_type comes from assembly, process creates without process type,\\n # that will be chosen later in update_process via select part of form for each product process in processes.html\\n\\n processes = models.Process.select().where(models.Process.completed == False)\\n for process in processes:\\n print(process.product_name, process.process_type, process.completed)\\n\\n return render_template('process.html',\\n form=form,\\n processes=processes,\\n process_type=process_type,\\n production_day=today)\\n\\n\\n@app.route('/update_process/<process_id>', methods=['POST', 'GET'])\\ndef update_process(process_id):\\n process_to_update = models.Process.get(id=process_id)\\n if request.method == 'POST':\\n process_to_update.start_time = request.form['start']\\n process_to_update.finish_time = request.form['finish']\\n process_to_update.temperature = request.form['temp']\\n process_to_update.completed = True\\n\\n if process_to_update.process_type == 'cooking':\\n models.Process.create(\\n product_name=process_to_update.product_name,\\n date=datetime.date.today()\\n )\\n elif process_to_update.process_type == 'assembly-cooking':\\n models.Process.create(\\n product_name=process_to_update.product_name,\\n process_type='cooling',\\n date=datetime.date.today()\\n )\\n return_to = process_to_update.process_type\\n try:\\n if request.form['process']:\\n process_to_update.process_type = request.form['process']\\n return_to = 'assembly-cooking'\\n if request.form['process'] == 'assembly-assembly':\\n models.Process.create(\\n product_name=process_to_update.product_name,\\n process_type='assembly-cooking',\\n date=datetime.date.today()\\n )\\n elif request.form['process'] == 'cooling-cooling':\\n models.Process.create(\\n product_name=process_to_update.product_name,\\n process_type='cooling',\\n date=datetime.date.today()\\n )\\n except KeyError:\\n pass\\n\\n process_to_update.save()\\n\\n return redirect(url_for('process', process_type=return_to))\\n\\n\\n@app.route('/select_day', methods=['GET', 'POST'])\\ndef select_day():\\n form = forms.SelectDateForm()\\n select_production_day = models.ProductionDay.select()\\n if form.validate_on_submit():\\n select_production_day = models.ProductionDay.select().where(models.ProductionDay.date == form.date.data)\\n return render_template('select_day.html',\\n form=form,\\n select_production_day=select_production_day)\\n\\n\\n@app.route('/show_day_details/<day_id>')\\ndef show_day_details(day_id):\\n selected_day = models.ProductionDay.get(id=day_id)\\n cooked_products = models.Process.select().where(models.Process.date == selected_day.date)\\n return render_template('show_day_details.html',\\n selected_day=selected_day,\\n cooked_products=cooked_products)\\n\\n\\n@app.route('/ingredient_traceability/<day_id>')\\ndef ingredient_traceability(day_id):\\n table = tables.IngredientTraceabilityTable\\n selected_day = models.ProductionDay.get(id=day_id)\\n cooked_products = models.Process.select().where(models.Process.date == selected_day.date)\\n used_ingredients = models.UsedIngredient.select().where(models.UsedIngredient.date == selected_day.date)\\n return render_template('ingredient_traceability.html',\\n selected_day=selected_day,\\n cooked_products=cooked_products,\\n categories=INGREDIENT_CATEGORY,\\n table=table(used_ingredients))\\n\\n\\nif __name__ == '__main__':\\n app.run(threaded=True)\\n\"\n },\n {\n \"alpha_fraction\": 0.686246395111084,\n \"alphanum_fraction\": 0.686246395111084,\n \"avg_line_length\": 25.846153259277344,\n \"blob_id\": \"0c26daf83919eb11f125c8223a5f7e9dd34bc8a6\",\n \"content_id\": \"a090f142e64c54573c3eb5cee64cb86cdeaebeb3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 698,\n \"license_type\": \"no_license\",\n \"max_line_length\": 128,\n \"num_lines\": 26,\n \"path\": \"/tables.py\",\n \"repo_name\": \"KamilB91/haccp-control-system\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from flask_table import Table, Col, LinkCol, ButtonCol\\n\\n\\nclass IngredientTraceabilityTable(Table):\\n name = Col('Name')\\n batch = Col('Batch')\\n\\n\\nclass AssemblyTable(Table):\\n product_name = Col('Name')\\n start_time = Col('Start time')\\n finish_time = Col('Assembly finish time')\\n\\n\\nclass TraceTable(Table):\\n name = LinkCol('Name', 'ingredient', url_kwargs=dict(ingredient_id='id'), attr='name')\\n batch = Col('Batch code')\\n\\n\\nclass ActiveBatchCodeTable(Table):\\n batch_code = Col('New')\\n spent_button = ButtonCol('Old', 'deactivate_batch_code', url_kwargs=dict(batch_code_id='id', ingredient_id='ingredient_id'))\\n\\n\\nclass DeactiveBatchCodeTable(Table):\\n batch_code = Col('Old')\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":5,"string":"5"}}},{"rowIdx":2984182,"cells":{"repo_name":{"kind":"string","value":"cybersg/seemp"},"repo_url":{"kind":"string","value":"https://github.com/cybersg/seemp"},"snapshot_id":{"kind":"string","value":"7e9546cd31b5cccec6218d38734735db0b4312d4"},"revision_id":{"kind":"string","value":"aa46f09933ad71f143e745cc2f127619a3a45c8c"},"directory_id":{"kind":"string","value":"c962d4a3bac2aa1537bd6981e4040c16c73eca9f"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2015-08-23T06:23:21.799484","string":"2015-08-23T06:23:21.799484"},"revision_date":{"kind":"timestamp","value":"2015-04-14T21:53:39","string":"2015-04-14T21:53:39"},"committer_date":{"kind":"timestamp","value":"2015-04-14T21:53:39","string":"2015-04-14T21:53:39"},"github_id":{"kind":"number","value":33958852,"string":"33,958,852"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7511211037635803,"alphanum_fraction":0.7533632516860962,"avg_line_length":21.299999237060547,"blob_id":"f30960a89efb9ae355b4f72466c743a57bd1694f","content_id":"07561385e37fac9da0cf6ea64d2d9e8e4524d08c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":446,"license_type":"no_license","max_line_length":52,"num_lines":20,"path":"/seemp/__init__.py","repo_name":"cybersg/seemp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n__author__ = 'cybersg'\n\nfrom flask import Flask\nfrom flask_sqlalchemy import SQLAlchemy\nfrom flask_debugtoolbar import DebugToolbarExtension\nfrom flask_util_js import FlaskUtilJs\n\napp = Flask(__name__)\n\napp.config.from_object('conf.Config')\napp.config.from_envvar('FLASK_CONFIG', silent=True)\n\nutiljs = FlaskUtilJs(app)\n#toolbar = DebugToolbarExtension(app)\n\ndb = SQLAlchemy(app)\n\nimport seemp.views\n"},{"alpha_fraction":0.6205673813819885,"alphanum_fraction":0.6276595592498779,"avg_line_length":24.636363983154297,"blob_id":"206fe927cb8061b6f19de18ab95b80b9302704e4","content_id":"5d0d7e1dddbf306bb4bdea56147efa79dc8a547e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":282,"license_type":"no_license","max_line_length":85,"num_lines":11,"path":"/conf.py","repo_name":"cybersg/seemp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n__author__ = 'cybersg'\n\nimport os\nbasedir = os.path.abspath(os.path.dirname(__file__))\n\nclass Config(object):\n DEBUG=True\n SECRET_KEY = \"SSZELDX3S2IS21WG\"\n SQLALCHEMY_DATABASE_URI = \"sqlite:///{0}\".format(os.path.join(basedir, \"app.db\"))\n"},{"alpha_fraction":0.5935727953910828,"alphanum_fraction":0.6086956262588501,"avg_line_length":24.190475463867188,"blob_id":"13c21ed9bbf4b77eb2d5cfe9d3171d386b19e993","content_id":"791fad7f1fc3b58eb9c20b371b4c3b04913d9d31","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":529,"license_type":"no_license","max_line_length":58,"num_lines":21,"path":"/seemp/models.py","repo_name":"cybersg/seemp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n__author__ = 'cybersg'\n\nfrom seemp import db\n\nclass Room(db.Model):\n id = db.Column(db.Integer, primary_key=True)\n name = db.Column(db.String(length=64))\n\n def __repr__(self):\n return \"<Room {0}:{1}>\".format(self.id, self.name)\n\n\nclass Image(db.Model):\n id = db.Column(db.Integer, primary_key=True)\n room_id = db.Column(db.ForeignKey('room.id'))\n path = db.Column(db.String(length=128))\n\n def __repr__(self):\n return \"<Image {}>\".format(self.path)\n"},{"alpha_fraction":0.6850000023841858,"alphanum_fraction":0.6899999976158142,"avg_line_length":15.75,"blob_id":"45de4dbcf8737621aef6645a4ccf07035c3842ee","content_id":"a666d74375aac7c8a725bee7fa669336b7b290c2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":200,"license_type":"no_license","max_line_length":36,"num_lines":12,"path":"/shell.py","repo_name":"cybersg/seemp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n__author__ = 'cybersg'\n\nimport os\nimport readline\nfrom pprint import pprint\n\nfrom flask import *\nfrom seemp import *\n\nos.environ['PYTHONINSPECT'] = 'True'"},{"alpha_fraction":0.6515151262283325,"alphanum_fraction":0.6565656661987305,"avg_line_length":17,"blob_id":"1467fbc48c5f2cdcb0b3a0c6c63ae65da549a52b","content_id":"57abf6db59df844f6dc794a912aeadc7d1d7fb2a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":198,"license_type":"no_license","max_line_length":40,"num_lines":11,"path":"/seemp/views.py","repo_name":"cybersg/seemp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n__author__ = 'cybersg'\n\nfrom flask import render_template\n\nfrom seemp import app\n\n@app.route(\"/\")\ndef index():\n return render_template(\"index.html\")\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7511211037635803,\n \"alphanum_fraction\": 0.7533632516860962,\n \"avg_line_length\": 21.299999237060547,\n \"blob_id\": \"f30960a89efb9ae355b4f72466c743a57bd1694f\",\n \"content_id\": \"07561385e37fac9da0cf6ea64d2d9e8e4524d08c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 446,\n \"license_type\": \"no_license\",\n \"max_line_length\": 52,\n \"num_lines\": 20,\n \"path\": \"/seemp/__init__.py\",\n \"repo_name\": \"cybersg/seemp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n__author__ = 'cybersg'\\n\\nfrom flask import Flask\\nfrom flask_sqlalchemy import SQLAlchemy\\nfrom flask_debugtoolbar import DebugToolbarExtension\\nfrom flask_util_js import FlaskUtilJs\\n\\napp = Flask(__name__)\\n\\napp.config.from_object('conf.Config')\\napp.config.from_envvar('FLASK_CONFIG', silent=True)\\n\\nutiljs = FlaskUtilJs(app)\\n#toolbar = DebugToolbarExtension(app)\\n\\ndb = SQLAlchemy(app)\\n\\nimport seemp.views\\n\"\n },\n {\n \"alpha_fraction\": 0.6205673813819885,\n \"alphanum_fraction\": 0.6276595592498779,\n \"avg_line_length\": 24.636363983154297,\n \"blob_id\": \"206fe927cb8061b6f19de18ab95b80b9302704e4\",\n \"content_id\": \"5d0d7e1dddbf306bb4bdea56147efa79dc8a547e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 282,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 11,\n \"path\": \"/conf.py\",\n \"repo_name\": \"cybersg/seemp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n__author__ = 'cybersg'\\n\\nimport os\\nbasedir = os.path.abspath(os.path.dirname(__file__))\\n\\nclass Config(object):\\n DEBUG=True\\n SECRET_KEY = \\\"SSZELDX3S2IS21WG\\\"\\n SQLALCHEMY_DATABASE_URI = \\\"sqlite:///{0}\\\".format(os.path.join(basedir, \\\"app.db\\\"))\\n\"\n },\n {\n \"alpha_fraction\": 0.5935727953910828,\n \"alphanum_fraction\": 0.6086956262588501,\n \"avg_line_length\": 24.190475463867188,\n \"blob_id\": \"13c21ed9bbf4b77eb2d5cfe9d3171d386b19e993\",\n \"content_id\": \"791fad7f1fc3b58eb9c20b371b4c3b04913d9d31\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 529,\n \"license_type\": \"no_license\",\n \"max_line_length\": 58,\n \"num_lines\": 21,\n \"path\": \"/seemp/models.py\",\n \"repo_name\": \"cybersg/seemp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n__author__ = 'cybersg'\\n\\nfrom seemp import db\\n\\nclass Room(db.Model):\\n id = db.Column(db.Integer, primary_key=True)\\n name = db.Column(db.String(length=64))\\n\\n def __repr__(self):\\n return \\\"<Room {0}:{1}>\\\".format(self.id, self.name)\\n\\n\\nclass Image(db.Model):\\n id = db.Column(db.Integer, primary_key=True)\\n room_id = db.Column(db.ForeignKey('room.id'))\\n path = db.Column(db.String(length=128))\\n\\n def __repr__(self):\\n return \\\"<Image {}>\\\".format(self.path)\\n\"\n },\n {\n \"alpha_fraction\": 0.6850000023841858,\n \"alphanum_fraction\": 0.6899999976158142,\n \"avg_line_length\": 15.75,\n \"blob_id\": \"45de4dbcf8737621aef6645a4ccf07035c3842ee\",\n \"content_id\": \"a666d74375aac7c8a725bee7fa669336b7b290c2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 200,\n \"license_type\": \"no_license\",\n \"max_line_length\": 36,\n \"num_lines\": 12,\n \"path\": \"/shell.py\",\n \"repo_name\": \"cybersg/seemp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n__author__ = 'cybersg'\\n\\nimport os\\nimport readline\\nfrom pprint import pprint\\n\\nfrom flask import *\\nfrom seemp import *\\n\\nos.environ['PYTHONINSPECT'] = 'True'\"\n },\n {\n \"alpha_fraction\": 0.6515151262283325,\n \"alphanum_fraction\": 0.6565656661987305,\n \"avg_line_length\": 17,\n \"blob_id\": \"1467fbc48c5f2cdcb0b3a0c6c63ae65da549a52b\",\n \"content_id\": \"57abf6db59df844f6dc794a912aeadc7d1d7fb2a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 198,\n \"license_type\": \"no_license\",\n \"max_line_length\": 40,\n \"num_lines\": 11,\n \"path\": \"/seemp/views.py\",\n \"repo_name\": \"cybersg/seemp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n__author__ = 'cybersg'\\n\\nfrom flask import render_template\\n\\nfrom seemp import app\\n\\n@app.route(\\\"/\\\")\\ndef index():\\n return render_template(\\\"index.html\\\")\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":5,"string":"5"}}},{"rowIdx":2984183,"cells":{"repo_name":{"kind":"string","value":"pertschuk/fairseq"},"repo_url":{"kind":"string","value":"https://github.com/pertschuk/fairseq"},"snapshot_id":{"kind":"string","value":"1a3f75a17de99b6c3d15305b02920b7773fa2f30"},"revision_id":{"kind":"string","value":"114056fcef3929cb19baa123eed17808fd269897"},"directory_id":{"kind":"string","value":"3b3f5545ca0e743c83462acc0ee33e08a5e75309"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-07-05T09:52:04.432059","string":"2020-07-05T09:52:04.432059"},"revision_date":{"kind":"timestamp","value":"2019-09-05T15:50:27","string":"2019-09-05T15:50:27"},"committer_date":{"kind":"timestamp","value":"2019-09-05T15:50:27","string":"2019-09-05T15:50:27"},"github_id":{"kind":"number","value":202614699,"string":"202,614,699"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"string","value":"MIT"},"gha_created_at":{"kind":"timestamp","value":"2019-08-15T21:37:02","string":"2019-08-15T21:37:02"},"gha_updated_at":{"kind":"timestamp","value":"2019-08-15T21:26:10","string":"2019-08-15T21:26:10"},"gha_pushed_at":{"kind":"timestamp","value":"2019-08-15T21:26:04","string":"2019-08-15T21:26:04"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.673389732837677,"alphanum_fraction":0.6824983954429626,"avg_line_length":39.47368240356445,"blob_id":"353f8868d7806a8bd715eb035f72b0c488b7296b","content_id":"94789ae036bc7d73bde1536e2423d3790a73b5a3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1537,"license_type":"permissive","max_line_length":128,"num_lines":38,"path":"/roberta.py","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"from fairseq.models.roberta import RobertaModel\nfrom fairseq.data.data_utils import collate_tokens\n\n\nMODEL_DIR = './checkpoints/'\nCHECKPOINT_FILE = 'checkpoint_best.pt'\nCLASSES = ['SUPPORTS', 'REFUTES', 'NOT ENOUGH INFO']\n\nclass Roberta (object):\n def __init__(self,model_dir=MODEL_DIR,ckpt_file=CHECKPOINT_FILE,\n use_gpu=False):\n self.model = RobertaModel.from_pretrained(model_dir, checkpoint_file=ckpt_file)\n self.model.eval() # disable dropout\n if use_gpu: self.model.cuda()\n\n def classify_fever(self, claims, evidences):\n roberta = self.model\n batch = collate_tokens([self.trim_sentence(roberta.encode(c, e), max_len=500) for c, e in zip(claims,evidences)], pad_idx=1)\n labels = roberta.predict('sentence_classification_head', batch).argmax(dim=1)\n labels = [CLASSES[label] for label in labels]\n return labels\n\n def trim_sentence(self, sent, max_len):\n return sent if len(sent) < max_len else sent[:max_len]\n\n def encode(self, sentences, pooling_strategy='cls', layer=-4, max_len=400):\n roberta = self.model\n batch = collate_tokens([self.trim_sentence(roberta.encode(sentence), max_len)\n for sentence in sentences], pad_idx=1)\n features = roberta.extract_features(batch,return_all_hiddens=True)[layer]\n if pooling_strategy == 'cls':\n return features[:,0]\n elif pooling_strategy == 'mean':\n return features.mean(dim=1)\n elif pooling_strategy == 'max':\n return features.max(dim=1)[0]\n else:\n raise NotImplementedError()"},{"alpha_fraction":0.7586206793785095,"alphanum_fraction":0.7586206793785095,"avg_line_length":36.42856979370117,"blob_id":"50f1b2af68e6dd253cadceafa42de76f23125e56","content_id":"c1b21cde2a745b0e560e621492bf3bab1bf6402e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":261,"license_type":"permissive","max_line_length":88,"num_lines":7,"path":"/roberta/download_fever.sh","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"#!/usr/bin/env bash\n\nexport DATA_DIR=fever\nexport OUTPUT_DIR=FEVER-bin\nmkdir $DATA_DIR\nwget -O $DATA_DIR/test.tsv 'https://storage.googleapis.com/poloma-tpu/fever/test.tsv'\nwget -O $DATA_DIR/train.tsv 'https://storage.googleapis.com/poloma-tpu/fever/train.tsv'"},{"alpha_fraction":0.662200927734375,"alphanum_fraction":0.6681339740753174,"avg_line_length":31.25308609008789,"blob_id":"1279af8f7ff40c1c51c2dfb51db1308493897043","content_id":"ddaf604aa275f602664bf74d6bedda251db71015","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5225,"license_type":"permissive","max_line_length":102,"num_lines":162,"path":"/roberta/slice_airbnb.py","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"import pandas as pd\nfrom snorkel.preprocess.nlp import SpacyPreprocessor\nfrom snorkel.augmentation import transformation_function\nimport nltk\nfrom nltk.corpus import wordnet as wn\nfrom snorkel.augmentation import RandomPolicy\nfrom snorkel.augmentation import PandasTFApplier\nimport numpy as np\nimport random\n\nnltk.download(\"wordnet\")\n\nimport names\n\nspacy = SpacyPreprocessor(text_field=\"text\", doc_field=\"doc\", memoize=True)\n\n\ndef main():\n df = pd.read_csv('../airbnb/reviews.tsv', sep='\\t')\n\n newdf = df[['comments', 'Great (1) Not Great (0)']]\n newdf.columns = ['text', 'label']\n chunks = []\n labels = []\n buffer = []\n for i, row in newdf.iterrows():\n sents = nltk.sent_tokenize(row['text'])\n for sent in sents:\n buffer.append(sent)\n if (len(buffer)) % 3 == 0:\n chunks.append(\" \".join(buffer))\n labels.append(row['label'])\n buffer = [buffer[random.randint(0,2)]]\n if len(buffer) > 1:\n chunks.append(\" \".join(buffer))\n labels.append(row['label'])\n buffer = []\n\n chunkedDf = pd.DataFrame({'text' : chunks, 'label': labels})\n\n random_policy = RandomPolicy(\n len(tfs), sequence_length=4, n_per_original=1, keep_original=True\n )\n tf_applier = PandasTFApplier(tfs, random_policy)\n newdf_augmented = tf_applier.apply(chunkedDf)\n print(len(newdf))\n print(len(newdf_augmented))\n newdf_augmented.to_csv('airbnb_augmented.csv')\n\ndef train_split():\n df = pd.read_csv('airbnb_augmented.csv')\n msk = np.random.rand(len(df)) < 0.8\n train = df[msk]\n test = df[~msk]\n train.to_csv('train.tsv',sep='\\t')\n test.to_csv('test.tsv', sep='\\t')\n\n\n# Pregenerate some random person names to replace existing ones with\n# for the transformation strategies below\nreplacement_names = [names.get_full_name() for _ in range(50)]\n\n\n# Replace a random named entity with a different entity of the same type.\n@transformation_function(pre=[spacy])\ndef change_person(x):\n person_names = [ent.text for ent in x.doc.ents if ent.label_ == \"PERSON\"]\n # If there is at least one person name, replace a random one. Else return None.\n if person_names:\n name_to_replace = np.random.choice(person_names)\n replacement_name = np.random.choice(replacement_names)\n x.text = x.text.replace(name_to_replace, replacement_name)\n return x\n\n\n# Swap two adjectives at random.\n@transformation_function(pre=[spacy])\ndef swap_adjectives(x):\n adjective_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \"ADJ\"]\n # Check that there are at least two adjectives to swap.\n if len(adjective_idxs) >= 2:\n idx1, idx2 = sorted(np.random.choice(adjective_idxs, 2, replace=False))\n # Swap tokens in positions idx1 and idx2.\n x.text = \" \".join(\n [\n x.doc[:idx1].text,\n x.doc[idx2].text,\n x.doc[1 + idx1: idx2].text,\n x.doc[idx1].text,\n x.doc[1 + idx2:].text,\n ]\n )\n return x\n\n\ndef get_synonym(word, pos=None):\n \"\"\"Get synonym for word given its part-of-speech (pos).\"\"\"\n synsets = wn.synsets(word, pos=pos)\n # Return None if wordnet has no synsets (synonym sets) for this word and pos.\n if synsets:\n words = [lemma.name() for lemma in synsets[0].lemmas()]\n if words[0].lower() != word.lower(): # Skip if synonym is same as word.\n # Multi word synonyms in wordnet use '_' as a separator e.g. reckon_with. Replace it with space.\n return words[0].replace(\"_\", \" \")\n\n\ndef replace_token(spacy_doc, idx, replacement):\n \"\"\"Replace token in position idx with replacement.\"\"\"\n return \" \".join([spacy_doc[:idx].text, replacement, spacy_doc[1 + idx:].text])\n\n\n@transformation_function(pre=[spacy])\ndef replace_verb_with_synonym(x):\n # Get indices of verb tokens in sentence.\n verb_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \"VERB\"]\n if verb_idxs:\n # Pick random verb idx to replace.\n idx = np.random.choice(verb_idxs)\n synonym = get_synonym(x.doc[idx].text, pos=\"v\")\n # If there's a valid verb synonym, replace it. Otherwise, return None.\n if synonym:\n x.text = replace_token(x.doc, idx, synonym)\n return x\n\n\n@transformation_function(pre=[spacy])\ndef replace_noun_with_synonym(x):\n # Get indices of noun tokens in sentence.\n noun_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \"NOUN\"]\n if noun_idxs:\n # Pick random noun idx to replace.\n idx = np.random.choice(noun_idxs)\n synonym = get_synonym(x.doc[idx].text, pos=\"n\")\n # If there's a valid noun synonym, replace it. Otherwise, return None.\n if synonym:\n x.text = replace_token(x.doc, idx, synonym)\n return x\n\n\n@transformation_function(pre=[spacy])\ndef replace_adjective_with_synonym(x):\n # Get indices of adjective tokens in sentence.\n adjective_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \"ADJ\"]\n if adjective_idxs:\n # Pick random adjective idx to replace.\n idx = np.random.choice(adjective_idxs)\n synonym = get_synonym(x.doc[idx].text, pos=\"a\")\n # If there's a valid adjective synonym, replace it. Otherwise, return None.\n if synonym:\n x.text = replace_token(x.doc, idx, synonym)\n return x\n\n\ntfs = [\n change_person,\n replace_noun_with_synonym,\n replace_adjective_with_synonym\n]\n\nif __name__ == '__main__':\n main()\n train_split()\n"},{"alpha_fraction":0.6132295727729797,"alphanum_fraction":0.6280155777931213,"avg_line_length":26.95652198791504,"blob_id":"cfbee443b871410b189e1fc5a761427d7bd93c70","content_id":"0e162fedf9de1f92df688f207fde406bbb8acd9c","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":1285,"license_type":"permissive","max_line_length":70,"num_lines":46,"path":"/roberta/encode.sh","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"#!/usr/bin/env bash\n\nwget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/encoder.json'\nwget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/vocab.bpe'\n\nexport OUTPUT_DIR=fever_train\nexport DATA_DIR=fever\n\nfor SPLIT in train dev; do\n for INPUT in 0 1; do\n python -m examples.roberta.multiprocessing_bpe_encoder \\\n --encoder-json encoder.json \\\n --vocab-bpe vocab.bpe \\\n --inputs \"$DATA_DIR/$SPLIT.input$INPUT\" \\\n --outputs \"$DATA_DIR/$SPLIT.input$INPUT.bpe\" \\\n --workers 60 \\\n --keep-empty\n done\ndone\n\necho 'preprocessing data'\n\nwget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/dict.txt'\n\nfairseq-preprocess \\\n --only-source \\\n --trainpref \"$DATA_DIR/train.input0.bpe\" \\\n --validpref \"$DATA_DIR/dev.input0.bpe\" \\\n --destdir \"$OUTPUT_DIR/input0\" \\\n --workers 60 \\\n --srcdict dict.txt\n\nfairseq-preprocess \\\n --only-source \\\n --trainpref \"$DATA_DIR/train.input1.bpe\" \\\n --validpref \"$DATA_DIR/dev.input1.bpe\" \\\n --destdir \"$OUTPUT_DIR/input1\" \\\n --workers 60 \\\n --srcdict dict.txt\n\nfairseq-preprocess \\\n --only-source \\\n --trainpref \"$DATA_DIR/train.label\" \\\n --validpref \"$DATA_DIR/dev.label\" \\\n --destdir \"$OUTPUT_DIR/label\" \\\n --workers 60"},{"alpha_fraction":0.774193525314331,"alphanum_fraction":0.774193525314331,"avg_line_length":30,"blob_id":"5d73bbeaccfbdbe0f89358812c309fbf1920cac8","content_id":"77fd376f85533ffd3723a4bb7a2d220edaaeca54","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":124,"license_type":"permissive","max_line_length":71,"num_lines":4,"path":"/roberta/download_model.sh","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"#!/usr/bin/env bash\n\nwget https://dl.fbaipublicfiles.com/fairseq/models/roberta.large.tar.gz\ntar -xzvf roberta.large.tar.gz\n"},{"alpha_fraction":0.6723163723945618,"alphanum_fraction":0.6820749640464783,"avg_line_length":29.88888931274414,"blob_id":"ab654445dbded600569b91e8cf3e8240aa9633fa","content_id":"1a46b94aa58a31f80a96dfae7aadaec605c9f9ad","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1947,"license_type":"permissive","max_line_length":96,"num_lines":63,"path":"/run_inf.py","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"from fairseq.models.roberta import RobertaModel\nfrom fairseq.data.data_utils import collate_tokens\n\nimport nltk\nimport random\n\n# DOWNLOAD: wget https://storage.googleapis.com/poloma-models/airbnb_model.tar.gz\n# EXTRACT: tar -xvzf airbnb_model.tar.gz\n\n# MAKE SURE model directory points to where you downloaded the model\nMODEL_DIR = './airbnb_train/'\n\n# DEPENDENCIES:\n# pip install fairseq\n# pip install nltk\n# import nltk\n# nltk.download('punkt')\n\n## USAGE:\n# from run_inf import Roberta\n# model = Roberta(use_gpu=False, model_dir='./airbnb_train/')\n# label = model.classify(review)\n\nCHECKPOINT_FILE = 'checkpoint_best.pt'\nCLASSES = ['NOT_GREAT', 'GREAT']\n\n# how many sentences to run through at the same time. Tweak if running out of memory\nCHUNK_SIZE=4\n\n# set bias based on excel spreadsheet\nBIAS = 10\n\n\nclass Roberta (object):\n def __init__(self,model_dir=MODEL_DIR,ckpt_file=CHECKPOINT_FILE,\n use_gpu=False):\n self.model = RobertaModel.from_pretrained(model_dir, checkpoint_file=ckpt_file)\n self.model.eval() # disable dropout\n if use_gpu: self.model.cuda()\n\n def classify(self, review, logits=False):\n reviews = self.batch_review(review)\n roberta = self.model\n tokens = map(lambda x: x if len(x) < 512 else x[:511], [roberta.encode(r) for r in reviews])\n batch = collate_tokens(list(tokens), pad_idx=1)\n label = roberta.predict('sentence_classification_head', batch)\n if logits:\n return label.sum(dim=0).tolist()\n else:\n logits = label.sum(dim=0).tolist()\n return CLASSES[0] if logits[0] > logits[1] + BIAS else CLASSES[1]\n\n def batch_review(self, review):\n sents = nltk.sent_tokenize(review)\n buffer = []\n chunks = []\n for sent in sents:\n buffer.append(sent)\n if (len(buffer)) % CHUNK_SIZE == 0:\n chunks.append(\" \".join(buffer))\n buffer = [buffer[random.randint(0,CHUNK_SIZE-1)]]\n chunks.append(\" \".join(buffer))\n return chunks\n\n"},{"alpha_fraction":0.7446808218955994,"alphanum_fraction":0.7446808218955994,"avg_line_length":94,"blob_id":"6f3b231d66c15ec82ac042dabe9ee5657d396d79","content_id":"bc3be55a731fe8acfa6fe9b47c1fa6cffa529f98","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"SQL","length_bytes":94,"license_type":"permissive","max_line_length":94,"num_lines":1,"path":"/roberta/get_data.sql","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"\\copy (select claim, line_text as evidence, label from fever.train_set) to './fever/train.tsv'"},{"alpha_fraction":0.6274510025978088,"alphanum_fraction":0.6713725328445435,"avg_line_length":37.6363639831543,"blob_id":"9c6b03fcde9fc3ef99b645696d03ca919681fdcc","content_id":"d9cd365ef79af68d7b6711bd38a7e5bf4e05c412","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":1275,"license_type":"permissive","max_line_length":117,"num_lines":33,"path":"/roberta/train.sh","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"#!/usr/bin/env bash\n\nexport TOTAL_NUM_UPDATES=100000\n\nexport WARMUP_UPDATES=7432 # 6 percent of the number of updates\nexport LR=1e-05 # Peak LR for polynomial LR scheduler.\nexport NUM_CLASSES=3\nexport MAX_SENTENCES=4 # Batch size.\nexport ROBERTA_PATH=roberta.large/model.pt\n\nexport DATA_DIR=fever_train\n\nCUDA_VISIBLE_DEVICES=0 python train.py $DATA_DIR \\\n --restore-file $ROBERTA_PATH \\\n --max-positions 512 \\\n --max-sentences $MAX_SENTENCES \\\n --max-tokens 4400 \\\n --task sentence_prediction \\\n --reset-optimizer --reset-dataloader --reset-meters \\\n --required-batch-size-multiple 1 \\\n --init-token 0 --separator-token 2 \\\n --arch roberta_large \\\n --criterion sentence_prediction \\\n --num-classes $NUM_CLASSES \\\n --dropout 0.1 --attention-dropout 0.1 \\\n --weight-decay 0.1 --optimizer adam --adam-betas \"(0.9, 0.98)\" --adam-eps 1e-06 \\\n --clip-norm 0.0 \\\n --lr-scheduler polynomial_decay --lr $LR --total-num-update $TOTAL_NUM_UPDATES --warmup-updates $WARMUP_UPDATES \\\n --fp16 --fp16-init-scale 4 --threshold-loss-scale 1 --fp16-scale-window 128 \\\n --max-epoch 10 \\\n --best-checkpoint-metric accuracy --maximize-best-checkpoint-metric \\\n --truncate-sequence \\\n --find-unused-parameters\n"},{"alpha_fraction":0.5806159377098083,"alphanum_fraction":0.5969203114509583,"avg_line_length":28.078947067260742,"blob_id":"d2d116c7cade7d31863a4dae17b29601213098f7","content_id":"d1a3cdf4f0d32acd18e015602f5b0f38039b6f65","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1104,"license_type":"permissive","max_line_length":70,"num_lines":38,"path":"/roberta/format_data_fever.py","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"import argparse\nimport os\nimport random\nimport csv\n\nrandom.seed(0)\n\ndef main(args):\n for split in ['train', 'test']:\n samples = []\n fname = os.path.join(args.datadir, split + '.tsv')\n labels = ['SUPPORTS', 'REFUTES', 'NOT ENOUGH INFO']\n labelMap = dict()\n for i, label in enumerate(labels):\n labelMap[label] = i\n with open(fname) as file:\n for row in csv.reader(file, delimiter='\\t'):\n samples.append((row[0], row[1], labelMap[row[2]]))\n\n random.shuffle(samples)\n out_fname = 'train' if split == 'train' else 'dev'\n f1 = open(os.path.join(args.datadir, out_fname + '.input0'), 'w+')\n f2 = open(os.path.join(args.datadir, out_fname + '.input1'), 'w+')\n f3 = open(os.path.join(args.datadir, out_fname + '.label'), 'w+')\n for sample in samples:\n f1.write(sample[0] + '\\n')\n f2.write(sample[1] + '\\n')\n f3.write(str(sample[2]) + '\\n')\n\n f1.close()\n f2.close()\n f3.close()\n\nif __name__ == '__main__':\n parser = argparse.ArgumentParser()\n parser.add_argument('--datadir', default='fever')\n args = parser.parse_args()\n main(args)"},{"alpha_fraction":0.570376455783844,"alphanum_fraction":0.5900163650512695,"avg_line_length":28.119047164916992,"blob_id":"87715c210874f6a4a3eee0262f4316491bbcd3dc","content_id":"674f459c8f6ff71b9845cc34b18ea9ad796dd626","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1222,"license_type":"permissive","max_line_length":92,"num_lines":42,"path":"/fever_preds.py","repo_name":"pertschuk/fairseq","src_encoding":"UTF-8","text":"from roberta import Roberta\nfrom polomapy import PolomaConn, PolomaBuff\n\nPSQL_HOST = \"54.172.249.216\"\n\ndef get_claims(n=None):\n p = PolomaConn(host=PSQL_HOST)\n limit = \"limit \" + str(n) if n != None else \"\"\n rows = p.iter_rows('''\n select claim_id, claim, line_text as evidence from fever.test_set order by random() {}\n '''.format(limit))\n return rows\n\ndef main():\n model = Roberta(model_dir='./fever_train',use_gpu=True)\n b = PolomaBuff('fever.test_preds',\n workers=4, # set number of processes\n maxconn=8, # set maximum postgres connections\n maxbuff=50000, # set buffer size to be held in memory\n batchsize=100,\n host=PSQL_HOST) # set batchsize to send to postgres\n\n claims = []\n evidences = []\n ids = []\n for id, claim, evidence in get_claims(1000):\n ids.append(id)\n claims.append(claim)\n evidences.append(evidence)\n if len(claims) > 4:\n print(claims)\n print(evidences)\n labels = model.classify_fever(claims, evidences)\n for id, label in zip(ids, labels):\n b.append((id, label))\n claims = []\n evidences = []\n ids = []\n\n\nif __name__ == '__main__':\n main()"}],"string":"[\n {\n \"alpha_fraction\": 0.673389732837677,\n \"alphanum_fraction\": 0.6824983954429626,\n \"avg_line_length\": 39.47368240356445,\n \"blob_id\": \"353f8868d7806a8bd715eb035f72b0c488b7296b\",\n \"content_id\": \"94789ae036bc7d73bde1536e2423d3790a73b5a3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1537,\n \"license_type\": \"permissive\",\n \"max_line_length\": 128,\n \"num_lines\": 38,\n \"path\": \"/roberta.py\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from fairseq.models.roberta import RobertaModel\\nfrom fairseq.data.data_utils import collate_tokens\\n\\n\\nMODEL_DIR = './checkpoints/'\\nCHECKPOINT_FILE = 'checkpoint_best.pt'\\nCLASSES = ['SUPPORTS', 'REFUTES', 'NOT ENOUGH INFO']\\n\\nclass Roberta (object):\\n def __init__(self,model_dir=MODEL_DIR,ckpt_file=CHECKPOINT_FILE,\\n use_gpu=False):\\n self.model = RobertaModel.from_pretrained(model_dir, checkpoint_file=ckpt_file)\\n self.model.eval() # disable dropout\\n if use_gpu: self.model.cuda()\\n\\n def classify_fever(self, claims, evidences):\\n roberta = self.model\\n batch = collate_tokens([self.trim_sentence(roberta.encode(c, e), max_len=500) for c, e in zip(claims,evidences)], pad_idx=1)\\n labels = roberta.predict('sentence_classification_head', batch).argmax(dim=1)\\n labels = [CLASSES[label] for label in labels]\\n return labels\\n\\n def trim_sentence(self, sent, max_len):\\n return sent if len(sent) < max_len else sent[:max_len]\\n\\n def encode(self, sentences, pooling_strategy='cls', layer=-4, max_len=400):\\n roberta = self.model\\n batch = collate_tokens([self.trim_sentence(roberta.encode(sentence), max_len)\\n for sentence in sentences], pad_idx=1)\\n features = roberta.extract_features(batch,return_all_hiddens=True)[layer]\\n if pooling_strategy == 'cls':\\n return features[:,0]\\n elif pooling_strategy == 'mean':\\n return features.mean(dim=1)\\n elif pooling_strategy == 'max':\\n return features.max(dim=1)[0]\\n else:\\n raise NotImplementedError()\"\n },\n {\n \"alpha_fraction\": 0.7586206793785095,\n \"alphanum_fraction\": 0.7586206793785095,\n \"avg_line_length\": 36.42856979370117,\n \"blob_id\": \"50f1b2af68e6dd253cadceafa42de76f23125e56\",\n \"content_id\": \"c1b21cde2a745b0e560e621492bf3bab1bf6402e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 261,\n \"license_type\": \"permissive\",\n \"max_line_length\": 88,\n \"num_lines\": 7,\n \"path\": \"/roberta/download_fever.sh\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env bash\\n\\nexport DATA_DIR=fever\\nexport OUTPUT_DIR=FEVER-bin\\nmkdir $DATA_DIR\\nwget -O $DATA_DIR/test.tsv 'https://storage.googleapis.com/poloma-tpu/fever/test.tsv'\\nwget -O $DATA_DIR/train.tsv 'https://storage.googleapis.com/poloma-tpu/fever/train.tsv'\"\n },\n {\n \"alpha_fraction\": 0.662200927734375,\n \"alphanum_fraction\": 0.6681339740753174,\n \"avg_line_length\": 31.25308609008789,\n \"blob_id\": \"1279af8f7ff40c1c51c2dfb51db1308493897043\",\n \"content_id\": \"ddaf604aa275f602664bf74d6bedda251db71015\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5225,\n \"license_type\": \"permissive\",\n \"max_line_length\": 102,\n \"num_lines\": 162,\n \"path\": \"/roberta/slice_airbnb.py\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\nfrom snorkel.preprocess.nlp import SpacyPreprocessor\\nfrom snorkel.augmentation import transformation_function\\nimport nltk\\nfrom nltk.corpus import wordnet as wn\\nfrom snorkel.augmentation import RandomPolicy\\nfrom snorkel.augmentation import PandasTFApplier\\nimport numpy as np\\nimport random\\n\\nnltk.download(\\\"wordnet\\\")\\n\\nimport names\\n\\nspacy = SpacyPreprocessor(text_field=\\\"text\\\", doc_field=\\\"doc\\\", memoize=True)\\n\\n\\ndef main():\\n df = pd.read_csv('../airbnb/reviews.tsv', sep='\\\\t')\\n\\n newdf = df[['comments', 'Great (1) Not Great (0)']]\\n newdf.columns = ['text', 'label']\\n chunks = []\\n labels = []\\n buffer = []\\n for i, row in newdf.iterrows():\\n sents = nltk.sent_tokenize(row['text'])\\n for sent in sents:\\n buffer.append(sent)\\n if (len(buffer)) % 3 == 0:\\n chunks.append(\\\" \\\".join(buffer))\\n labels.append(row['label'])\\n buffer = [buffer[random.randint(0,2)]]\\n if len(buffer) > 1:\\n chunks.append(\\\" \\\".join(buffer))\\n labels.append(row['label'])\\n buffer = []\\n\\n chunkedDf = pd.DataFrame({'text' : chunks, 'label': labels})\\n\\n random_policy = RandomPolicy(\\n len(tfs), sequence_length=4, n_per_original=1, keep_original=True\\n )\\n tf_applier = PandasTFApplier(tfs, random_policy)\\n newdf_augmented = tf_applier.apply(chunkedDf)\\n print(len(newdf))\\n print(len(newdf_augmented))\\n newdf_augmented.to_csv('airbnb_augmented.csv')\\n\\ndef train_split():\\n df = pd.read_csv('airbnb_augmented.csv')\\n msk = np.random.rand(len(df)) < 0.8\\n train = df[msk]\\n test = df[~msk]\\n train.to_csv('train.tsv',sep='\\\\t')\\n test.to_csv('test.tsv', sep='\\\\t')\\n\\n\\n# Pregenerate some random person names to replace existing ones with\\n# for the transformation strategies below\\nreplacement_names = [names.get_full_name() for _ in range(50)]\\n\\n\\n# Replace a random named entity with a different entity of the same type.\\n@transformation_function(pre=[spacy])\\ndef change_person(x):\\n person_names = [ent.text for ent in x.doc.ents if ent.label_ == \\\"PERSON\\\"]\\n # If there is at least one person name, replace a random one. Else return None.\\n if person_names:\\n name_to_replace = np.random.choice(person_names)\\n replacement_name = np.random.choice(replacement_names)\\n x.text = x.text.replace(name_to_replace, replacement_name)\\n return x\\n\\n\\n# Swap two adjectives at random.\\n@transformation_function(pre=[spacy])\\ndef swap_adjectives(x):\\n adjective_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \\\"ADJ\\\"]\\n # Check that there are at least two adjectives to swap.\\n if len(adjective_idxs) >= 2:\\n idx1, idx2 = sorted(np.random.choice(adjective_idxs, 2, replace=False))\\n # Swap tokens in positions idx1 and idx2.\\n x.text = \\\" \\\".join(\\n [\\n x.doc[:idx1].text,\\n x.doc[idx2].text,\\n x.doc[1 + idx1: idx2].text,\\n x.doc[idx1].text,\\n x.doc[1 + idx2:].text,\\n ]\\n )\\n return x\\n\\n\\ndef get_synonym(word, pos=None):\\n \\\"\\\"\\\"Get synonym for word given its part-of-speech (pos).\\\"\\\"\\\"\\n synsets = wn.synsets(word, pos=pos)\\n # Return None if wordnet has no synsets (synonym sets) for this word and pos.\\n if synsets:\\n words = [lemma.name() for lemma in synsets[0].lemmas()]\\n if words[0].lower() != word.lower(): # Skip if synonym is same as word.\\n # Multi word synonyms in wordnet use '_' as a separator e.g. reckon_with. Replace it with space.\\n return words[0].replace(\\\"_\\\", \\\" \\\")\\n\\n\\ndef replace_token(spacy_doc, idx, replacement):\\n \\\"\\\"\\\"Replace token in position idx with replacement.\\\"\\\"\\\"\\n return \\\" \\\".join([spacy_doc[:idx].text, replacement, spacy_doc[1 + idx:].text])\\n\\n\\n@transformation_function(pre=[spacy])\\ndef replace_verb_with_synonym(x):\\n # Get indices of verb tokens in sentence.\\n verb_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \\\"VERB\\\"]\\n if verb_idxs:\\n # Pick random verb idx to replace.\\n idx = np.random.choice(verb_idxs)\\n synonym = get_synonym(x.doc[idx].text, pos=\\\"v\\\")\\n # If there's a valid verb synonym, replace it. Otherwise, return None.\\n if synonym:\\n x.text = replace_token(x.doc, idx, synonym)\\n return x\\n\\n\\n@transformation_function(pre=[spacy])\\ndef replace_noun_with_synonym(x):\\n # Get indices of noun tokens in sentence.\\n noun_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \\\"NOUN\\\"]\\n if noun_idxs:\\n # Pick random noun idx to replace.\\n idx = np.random.choice(noun_idxs)\\n synonym = get_synonym(x.doc[idx].text, pos=\\\"n\\\")\\n # If there's a valid noun synonym, replace it. Otherwise, return None.\\n if synonym:\\n x.text = replace_token(x.doc, idx, synonym)\\n return x\\n\\n\\n@transformation_function(pre=[spacy])\\ndef replace_adjective_with_synonym(x):\\n # Get indices of adjective tokens in sentence.\\n adjective_idxs = [i for i, token in enumerate(x.doc) if token.pos_ == \\\"ADJ\\\"]\\n if adjective_idxs:\\n # Pick random adjective idx to replace.\\n idx = np.random.choice(adjective_idxs)\\n synonym = get_synonym(x.doc[idx].text, pos=\\\"a\\\")\\n # If there's a valid adjective synonym, replace it. Otherwise, return None.\\n if synonym:\\n x.text = replace_token(x.doc, idx, synonym)\\n return x\\n\\n\\ntfs = [\\n change_person,\\n replace_noun_with_synonym,\\n replace_adjective_with_synonym\\n]\\n\\nif __name__ == '__main__':\\n main()\\n train_split()\\n\"\n },\n {\n \"alpha_fraction\": 0.6132295727729797,\n \"alphanum_fraction\": 0.6280155777931213,\n \"avg_line_length\": 26.95652198791504,\n \"blob_id\": \"cfbee443b871410b189e1fc5a761427d7bd93c70\",\n \"content_id\": \"0e162fedf9de1f92df688f207fde406bbb8acd9c\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 1285,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 46,\n \"path\": \"/roberta/encode.sh\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env bash\\n\\nwget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/encoder.json'\\nwget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/vocab.bpe'\\n\\nexport OUTPUT_DIR=fever_train\\nexport DATA_DIR=fever\\n\\nfor SPLIT in train dev; do\\n for INPUT in 0 1; do\\n python -m examples.roberta.multiprocessing_bpe_encoder \\\\\\n --encoder-json encoder.json \\\\\\n --vocab-bpe vocab.bpe \\\\\\n --inputs \\\"$DATA_DIR/$SPLIT.input$INPUT\\\" \\\\\\n --outputs \\\"$DATA_DIR/$SPLIT.input$INPUT.bpe\\\" \\\\\\n --workers 60 \\\\\\n --keep-empty\\n done\\ndone\\n\\necho 'preprocessing data'\\n\\nwget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/dict.txt'\\n\\nfairseq-preprocess \\\\\\n --only-source \\\\\\n --trainpref \\\"$DATA_DIR/train.input0.bpe\\\" \\\\\\n --validpref \\\"$DATA_DIR/dev.input0.bpe\\\" \\\\\\n --destdir \\\"$OUTPUT_DIR/input0\\\" \\\\\\n --workers 60 \\\\\\n --srcdict dict.txt\\n\\nfairseq-preprocess \\\\\\n --only-source \\\\\\n --trainpref \\\"$DATA_DIR/train.input1.bpe\\\" \\\\\\n --validpref \\\"$DATA_DIR/dev.input1.bpe\\\" \\\\\\n --destdir \\\"$OUTPUT_DIR/input1\\\" \\\\\\n --workers 60 \\\\\\n --srcdict dict.txt\\n\\nfairseq-preprocess \\\\\\n --only-source \\\\\\n --trainpref \\\"$DATA_DIR/train.label\\\" \\\\\\n --validpref \\\"$DATA_DIR/dev.label\\\" \\\\\\n --destdir \\\"$OUTPUT_DIR/label\\\" \\\\\\n --workers 60\"\n },\n {\n \"alpha_fraction\": 0.774193525314331,\n \"alphanum_fraction\": 0.774193525314331,\n \"avg_line_length\": 30,\n \"blob_id\": \"5d73bbeaccfbdbe0f89358812c309fbf1920cac8\",\n \"content_id\": \"77fd376f85533ffd3723a4bb7a2d220edaaeca54\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 124,\n \"license_type\": \"permissive\",\n \"max_line_length\": 71,\n \"num_lines\": 4,\n \"path\": \"/roberta/download_model.sh\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env bash\\n\\nwget https://dl.fbaipublicfiles.com/fairseq/models/roberta.large.tar.gz\\ntar -xzvf roberta.large.tar.gz\\n\"\n },\n {\n \"alpha_fraction\": 0.6723163723945618,\n \"alphanum_fraction\": 0.6820749640464783,\n \"avg_line_length\": 29.88888931274414,\n \"blob_id\": \"ab654445dbded600569b91e8cf3e8240aa9633fa\",\n \"content_id\": \"1a46b94aa58a31f80a96dfae7aadaec605c9f9ad\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1947,\n \"license_type\": \"permissive\",\n \"max_line_length\": 96,\n \"num_lines\": 63,\n \"path\": \"/run_inf.py\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from fairseq.models.roberta import RobertaModel\\nfrom fairseq.data.data_utils import collate_tokens\\n\\nimport nltk\\nimport random\\n\\n# DOWNLOAD: wget https://storage.googleapis.com/poloma-models/airbnb_model.tar.gz\\n# EXTRACT: tar -xvzf airbnb_model.tar.gz\\n\\n# MAKE SURE model directory points to where you downloaded the model\\nMODEL_DIR = './airbnb_train/'\\n\\n# DEPENDENCIES:\\n# pip install fairseq\\n# pip install nltk\\n# import nltk\\n# nltk.download('punkt')\\n\\n## USAGE:\\n# from run_inf import Roberta\\n# model = Roberta(use_gpu=False, model_dir='./airbnb_train/')\\n# label = model.classify(review)\\n\\nCHECKPOINT_FILE = 'checkpoint_best.pt'\\nCLASSES = ['NOT_GREAT', 'GREAT']\\n\\n# how many sentences to run through at the same time. Tweak if running out of memory\\nCHUNK_SIZE=4\\n\\n# set bias based on excel spreadsheet\\nBIAS = 10\\n\\n\\nclass Roberta (object):\\n def __init__(self,model_dir=MODEL_DIR,ckpt_file=CHECKPOINT_FILE,\\n use_gpu=False):\\n self.model = RobertaModel.from_pretrained(model_dir, checkpoint_file=ckpt_file)\\n self.model.eval() # disable dropout\\n if use_gpu: self.model.cuda()\\n\\n def classify(self, review, logits=False):\\n reviews = self.batch_review(review)\\n roberta = self.model\\n tokens = map(lambda x: x if len(x) < 512 else x[:511], [roberta.encode(r) for r in reviews])\\n batch = collate_tokens(list(tokens), pad_idx=1)\\n label = roberta.predict('sentence_classification_head', batch)\\n if logits:\\n return label.sum(dim=0).tolist()\\n else:\\n logits = label.sum(dim=0).tolist()\\n return CLASSES[0] if logits[0] > logits[1] + BIAS else CLASSES[1]\\n\\n def batch_review(self, review):\\n sents = nltk.sent_tokenize(review)\\n buffer = []\\n chunks = []\\n for sent in sents:\\n buffer.append(sent)\\n if (len(buffer)) % CHUNK_SIZE == 0:\\n chunks.append(\\\" \\\".join(buffer))\\n buffer = [buffer[random.randint(0,CHUNK_SIZE-1)]]\\n chunks.append(\\\" \\\".join(buffer))\\n return chunks\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7446808218955994,\n \"alphanum_fraction\": 0.7446808218955994,\n \"avg_line_length\": 94,\n \"blob_id\": \"6f3b231d66c15ec82ac042dabe9ee5657d396d79\",\n \"content_id\": \"bc3be55a731fe8acfa6fe9b47c1fa6cffa529f98\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"SQL\",\n \"length_bytes\": 94,\n \"license_type\": \"permissive\",\n \"max_line_length\": 94,\n \"num_lines\": 1,\n \"path\": \"/roberta/get_data.sql\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\\copy (select claim, line_text as evidence, label from fever.train_set) to './fever/train.tsv'\"\n },\n {\n \"alpha_fraction\": 0.6274510025978088,\n \"alphanum_fraction\": 0.6713725328445435,\n \"avg_line_length\": 37.6363639831543,\n \"blob_id\": \"9c6b03fcde9fc3ef99b645696d03ca919681fdcc\",\n \"content_id\": \"d9cd365ef79af68d7b6711bd38a7e5bf4e05c412\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 1275,\n \"license_type\": \"permissive\",\n \"max_line_length\": 117,\n \"num_lines\": 33,\n \"path\": \"/roberta/train.sh\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env bash\\n\\nexport TOTAL_NUM_UPDATES=100000\\n\\nexport WARMUP_UPDATES=7432 # 6 percent of the number of updates\\nexport LR=1e-05 # Peak LR for polynomial LR scheduler.\\nexport NUM_CLASSES=3\\nexport MAX_SENTENCES=4 # Batch size.\\nexport ROBERTA_PATH=roberta.large/model.pt\\n\\nexport DATA_DIR=fever_train\\n\\nCUDA_VISIBLE_DEVICES=0 python train.py $DATA_DIR \\\\\\n --restore-file $ROBERTA_PATH \\\\\\n --max-positions 512 \\\\\\n --max-sentences $MAX_SENTENCES \\\\\\n --max-tokens 4400 \\\\\\n --task sentence_prediction \\\\\\n --reset-optimizer --reset-dataloader --reset-meters \\\\\\n --required-batch-size-multiple 1 \\\\\\n --init-token 0 --separator-token 2 \\\\\\n --arch roberta_large \\\\\\n --criterion sentence_prediction \\\\\\n --num-classes $NUM_CLASSES \\\\\\n --dropout 0.1 --attention-dropout 0.1 \\\\\\n --weight-decay 0.1 --optimizer adam --adam-betas \\\"(0.9, 0.98)\\\" --adam-eps 1e-06 \\\\\\n --clip-norm 0.0 \\\\\\n --lr-scheduler polynomial_decay --lr $LR --total-num-update $TOTAL_NUM_UPDATES --warmup-updates $WARMUP_UPDATES \\\\\\n --fp16 --fp16-init-scale 4 --threshold-loss-scale 1 --fp16-scale-window 128 \\\\\\n --max-epoch 10 \\\\\\n --best-checkpoint-metric accuracy --maximize-best-checkpoint-metric \\\\\\n --truncate-sequence \\\\\\n --find-unused-parameters\\n\"\n },\n {\n \"alpha_fraction\": 0.5806159377098083,\n \"alphanum_fraction\": 0.5969203114509583,\n \"avg_line_length\": 28.078947067260742,\n \"blob_id\": \"d2d116c7cade7d31863a4dae17b29601213098f7\",\n \"content_id\": \"d1a3cdf4f0d32acd18e015602f5b0f38039b6f65\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1104,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 38,\n \"path\": \"/roberta/format_data_fever.py\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import argparse\\nimport os\\nimport random\\nimport csv\\n\\nrandom.seed(0)\\n\\ndef main(args):\\n for split in ['train', 'test']:\\n samples = []\\n fname = os.path.join(args.datadir, split + '.tsv')\\n labels = ['SUPPORTS', 'REFUTES', 'NOT ENOUGH INFO']\\n labelMap = dict()\\n for i, label in enumerate(labels):\\n labelMap[label] = i\\n with open(fname) as file:\\n for row in csv.reader(file, delimiter='\\\\t'):\\n samples.append((row[0], row[1], labelMap[row[2]]))\\n\\n random.shuffle(samples)\\n out_fname = 'train' if split == 'train' else 'dev'\\n f1 = open(os.path.join(args.datadir, out_fname + '.input0'), 'w+')\\n f2 = open(os.path.join(args.datadir, out_fname + '.input1'), 'w+')\\n f3 = open(os.path.join(args.datadir, out_fname + '.label'), 'w+')\\n for sample in samples:\\n f1.write(sample[0] + '\\\\n')\\n f2.write(sample[1] + '\\\\n')\\n f3.write(str(sample[2]) + '\\\\n')\\n\\n f1.close()\\n f2.close()\\n f3.close()\\n\\nif __name__ == '__main__':\\n parser = argparse.ArgumentParser()\\n parser.add_argument('--datadir', default='fever')\\n args = parser.parse_args()\\n main(args)\"\n },\n {\n \"alpha_fraction\": 0.570376455783844,\n \"alphanum_fraction\": 0.5900163650512695,\n \"avg_line_length\": 28.119047164916992,\n \"blob_id\": \"87715c210874f6a4a3eee0262f4316491bbcd3dc\",\n \"content_id\": \"674f459c8f6ff71b9845cc34b18ea9ad796dd626\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1222,\n \"license_type\": \"permissive\",\n \"max_line_length\": 92,\n \"num_lines\": 42,\n \"path\": \"/fever_preds.py\",\n \"repo_name\": \"pertschuk/fairseq\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from roberta import Roberta\\nfrom polomapy import PolomaConn, PolomaBuff\\n\\nPSQL_HOST = \\\"54.172.249.216\\\"\\n\\ndef get_claims(n=None):\\n p = PolomaConn(host=PSQL_HOST)\\n limit = \\\"limit \\\" + str(n) if n != None else \\\"\\\"\\n rows = p.iter_rows('''\\n select claim_id, claim, line_text as evidence from fever.test_set order by random() {}\\n '''.format(limit))\\n return rows\\n\\ndef main():\\n model = Roberta(model_dir='./fever_train',use_gpu=True)\\n b = PolomaBuff('fever.test_preds',\\n workers=4, # set number of processes\\n maxconn=8, # set maximum postgres connections\\n maxbuff=50000, # set buffer size to be held in memory\\n batchsize=100,\\n host=PSQL_HOST) # set batchsize to send to postgres\\n\\n claims = []\\n evidences = []\\n ids = []\\n for id, claim, evidence in get_claims(1000):\\n ids.append(id)\\n claims.append(claim)\\n evidences.append(evidence)\\n if len(claims) > 4:\\n print(claims)\\n print(evidences)\\n labels = model.classify_fever(claims, evidences)\\n for id, label in zip(ids, labels):\\n b.append((id, label))\\n claims = []\\n evidences = []\\n ids = []\\n\\n\\nif __name__ == '__main__':\\n main()\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":10,"string":"10"}}},{"rowIdx":2984184,"cells":{"repo_name":{"kind":"string","value":"ArunMorampudi/employee_api"},"repo_url":{"kind":"string","value":"https://github.com/ArunMorampudi/employee_api"},"snapshot_id":{"kind":"string","value":"2ca105b8db939fcb1837530522e5d031c110353c"},"revision_id":{"kind":"string","value":"9723cf24e625607d419d4f7a7146a8d1cca48d71"},"directory_id":{"kind":"string","value":"2e7b97c568521d1e257698a842de7dffe66b8898"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-04-07T01:00:39.501335","string":"2020-04-07T01:00:39.501335"},"revision_date":{"kind":"timestamp","value":"2018-11-16T22:18:07","string":"2018-11-16T22:18:07"},"committer_date":{"kind":"timestamp","value":"2018-11-16T22:18:07","string":"2018-11-16T22:18:07"},"github_id":{"kind":"number","value":157927448,"string":"157,927,448"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6277204751968384,"alphanum_fraction":0.6323024034500122,"avg_line_length":26.3125,"blob_id":"2c17488ae42838ecf7e5e19f68e8d8db5422369f","content_id":"10156fe34dba8340fbed42dc8d619ba48e58bcb1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":873,"license_type":"no_license","max_line_length":226,"num_lines":32,"path":"/app.py","repo_name":"ArunMorampudi/employee_api","src_encoding":"UTF-8","text":"from flask import Flask, request\n\nimport pymysql\n\nconn = pymysql.connect(host='localhost', port=3306, user='root', passwd='Alsbsdla@16', db='employee_details')\n\ncur = conn.cursor()\n\ncur.execute(\"SELECT * from employee_table\")\nk = cur.fetchall()\n\napp = Flask(__name__)\n\n\n@app.route('/')\ndef display():\n global cur\n cur.execute(\"SELECT * from employee_table\")\n k = cur.fetchall()\n return 'Data in Employee_database: ' + str(k)\n\n\n@app.route('/add_employee', methods= ['POST'])\ndef add_employee():\n global cur\n k = request.get_json()\n cur.execute(\"INSERT INTO employee_table (employee_id, employee_name, manager_id, employee_age) VALUES ('\"+str(k['employee_id'])+\"', '\"+str(k['employee_name'])+\"', '\"+str(k['manager_id'])+\"', '\"+str(k['employee_age'])+\"')\")\n conn.commit()\n return 'Inserted:'+str(k)\n\nif __name__ == '__main__':\n app.run(debug=True)"}],"string":"[\n {\n \"alpha_fraction\": 0.6277204751968384,\n \"alphanum_fraction\": 0.6323024034500122,\n \"avg_line_length\": 26.3125,\n \"blob_id\": \"2c17488ae42838ecf7e5e19f68e8d8db5422369f\",\n \"content_id\": \"10156fe34dba8340fbed42dc8d619ba48e58bcb1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 873,\n \"license_type\": \"no_license\",\n \"max_line_length\": 226,\n \"num_lines\": 32,\n \"path\": \"/app.py\",\n \"repo_name\": \"ArunMorampudi/employee_api\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from flask import Flask, request\\n\\nimport pymysql\\n\\nconn = pymysql.connect(host='localhost', port=3306, user='root', passwd='Alsbsdla@16', db='employee_details')\\n\\ncur = conn.cursor()\\n\\ncur.execute(\\\"SELECT * from employee_table\\\")\\nk = cur.fetchall()\\n\\napp = Flask(__name__)\\n\\n\\n@app.route('/')\\ndef display():\\n global cur\\n cur.execute(\\\"SELECT * from employee_table\\\")\\n k = cur.fetchall()\\n return 'Data in Employee_database: ' + str(k)\\n\\n\\n@app.route('/add_employee', methods= ['POST'])\\ndef add_employee():\\n global cur\\n k = request.get_json()\\n cur.execute(\\\"INSERT INTO employee_table (employee_id, employee_name, manager_id, employee_age) VALUES ('\\\"+str(k['employee_id'])+\\\"', '\\\"+str(k['employee_name'])+\\\"', '\\\"+str(k['manager_id'])+\\\"', '\\\"+str(k['employee_age'])+\\\"')\\\")\\n conn.commit()\\n return 'Inserted:'+str(k)\\n\\nif __name__ == '__main__':\\n app.run(debug=True)\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2984185,"cells":{"repo_name":{"kind":"string","value":"SpeedSourceLAB/Calculator-PyTestProject"},"repo_url":{"kind":"string","value":"https://github.com/SpeedSourceLAB/Calculator-PyTestProject"},"snapshot_id":{"kind":"string","value":"cbd5a35502e85bfe50ed952b1889cee526a6cd7c"},"revision_id":{"kind":"string","value":"79225f8515ad25859795f37405a1598324a81d21"},"directory_id":{"kind":"string","value":"110bdb12941c128da66f8e432da02f119f0560c2"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-08-07T05:21:38.585765","string":"2023-08-07T05:21:38.585765"},"revision_date":{"kind":"timestamp","value":"2021-09-20T17:41:10","string":"2021-09-20T17:41:10"},"committer_date":{"kind":"timestamp","value":"2021-09-20T17:41:10","string":"2021-09-20T17:41:10"},"github_id":{"kind":"number","value":408537989,"string":"408,537,989"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5261669158935547,"alphanum_fraction":0.5685997009277344,"avg_line_length":30.954545974731445,"blob_id":"dce73e218b477f877efc20b6b9e342aabe12c8cd","content_id":"d1d6cdae260441e823ad1300729e416725213194","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":707,"license_type":"no_license","max_line_length":70,"num_lines":22,"path":"/PyTest_Project/conftest_arithmetic_test.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"\n\"\"\"Use conftest.py while running this test\"\"\"\n\ndef test_add():\n a=2\n b=3\n assert a + b == 6, \"Expected: {}, Result: {}\".format(a+b,6)\n\ndef test_add(numbers):\n assert numbers[0] + numbers[1] == 5, \\\n \"Expected: {}, Result: {}\".format(numbers[0]+numbers[1],5)\n\ndef testsubtract(numbers):\n assert numbers[0] - numbers[1] == 3, \\\n \"Expected: {}, Result: {}\".format(numbers[0] - numbers[1], 3)\n\ndef testmultiply(numbers):\n assert numbers[0] * numbers[1] == 18, \\\n \"Expected: {}, Result: {}\".format(numbers[0] * numbers[1], 18)\n\ndef test_divide(numbers):\n assert (numbers[0] / numbers[1]) == 3, \\\n \"Expected: {}, Result: {}\".format(numbers[0] / numbers[1], 3)\n\n\n\n"},{"alpha_fraction":0.6326326131820679,"alphanum_fraction":0.6556556820869446,"avg_line_length":28.352941513061523,"blob_id":"ef35273260b9febd30937345185b0ff204e2870e","content_id":"c31d28d18f8c8b28a6fa02e4234f9e65e417d5cf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":999,"license_type":"no_license","max_line_length":86,"num_lines":34,"path":"/PyTest_Project/Calculator/tests/test_Calculator.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"import pytest\n\nfrom Calculator.Calculator.Calculator import Calculator\n\"\"\"Use conftest.py while running this test\"\"\"\n\nc= Calculator()\n\n@pytest.mark.xfail\ndef test_input_value_is_integer(numbers):\n result =c.numbers_is_integer(numbers)\n assert result == True\n\ndef test_add(numbers):\n result = c.add(numbers[0], numbers[1])\n assert result == 12, \"Expected: {}, Result: {}\".format(result, 12)\n\ndef testsubtract(numbers):\n result = c.subtract(numbers[0], numbers[1])\n assert result == 6, \"Expected: {}, Result: {}\".format(result, 6)\n\ndef testmultiply(numbers):\n result = c.multiply(numbers[0], numbers[1])\n assert result == 27, \"Expected: {}, Result: {}\".format(result, 27)\n\ndef test_divide(numbers):\n result = c.divide(numbers[0], numbers[1])\n assert result == 6, \"Expected: {}, Result: {}\".format(result, 3)\n\n\ndef test_divide_by_zero():\n a= 10\n b =0\n result = c.divide(a,b)\n assert result == \"Infinity\", \"Expected: {}, Result: {}\".format(result, \"Infinity\")\n\n"},{"alpha_fraction":0.45736435055732727,"alphanum_fraction":0.49870800971984863,"avg_line_length":19.36842155456543,"blob_id":"68edb55be04e8ac03c1583a53099c7d0a531ce1d","content_id":"0ed06e2a2e75f90358203ce9280c4886f9374f39","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":387,"license_type":"no_license","max_line_length":63,"num_lines":19,"path":"/PyTest_Project/basic_arithmetic_test.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"def test_add():\n a=6\n b=3\n assert a + b == 9, \"Expected: {}, Result: {}\".format(a+b,9)\n\ndef testsubtract():\n a=6\n b=3\n assert a-b == 2, \"Expected:{}, Result: {}\".format(a-b,2)\n\ndef multiplytest():\n a=6\n b=3\n assert a * b == 6, \"Expected: {}, Result: {}\".format(a*b,6)\n\ndef divide():\n a=6\n b=3\n assert a/b == 2, \"Expected:{}, Result: {}\".format(a/b,2)\n"},{"alpha_fraction":0.5733590722084045,"alphanum_fraction":0.57722008228302,"avg_line_length":18.11111068725586,"blob_id":"570b0738b1dfe9cc813f704cee11c56dfd1cfb1f","content_id":"a9036b30d59ffe885697b73231d67b97b9b513e3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":518,"license_type":"no_license","max_line_length":50,"num_lines":27,"path":"/PyTest_Project/Calculator/tests/conftest.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"import pytest\nimport pandas as pd\n\n\n@pytest.fixture\ndef numbers():\n a=9\n b=3\n print(\"Herllo\")\n return a,b\n\n\n\n\n\n\n@pytest.fixture(scope='module')\ndef numbers_csv():\n print(\"\\n=============SETUP==============\")\n data=pd.read_csv('numbers.csv')\n print( \"Initialization Size\",data.size)\n print(\"Initialization Shape\",data.shape)\n yield data\n print(\"\\n============TEAR DOWN==============\")\n data = pd.DataFrame()\n print(\"Teardown Size\",data.size)\n print(\"Teardown Shape\",data.shape)\n\n\n"},{"alpha_fraction":0.5860000252723694,"alphanum_fraction":0.6200000047683716,"avg_line_length":23.950000762939453,"blob_id":"2056f95d5dea1a326d68e85a60dedfbab0b3485e","content_id":"39f754ed4f1757400dfa39ad869913b6427490ea","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":500,"license_type":"no_license","max_line_length":38,"num_lines":20,"path":"/PyTest_Project/Calculator/Calculator/Calculator.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"\n# Function to add two numbers\nclass Calculator:\n\n def add(self,num1, num2):\n return num1+num2\n\n # Function to subtract two numbers\n def subtract(self,num1,num2):\n return num1 - num2\n\n # Function to multiply two numbers\n def multiply(self, num1, num2):\n return num1 * num2\n\n # Function to divide two numbers\n def divide(self,num1, num2):\n try:\n return(round(num1/num2,2))\n except ZeroDivisionError as e:\n return \"Infinity\"\n"},{"alpha_fraction":0.6192687153816223,"alphanum_fraction":0.6285548210144043,"avg_line_length":38.15909194946289,"blob_id":"e4d38c9a98b988f624d2c1fb85efac7b3f5e6c8d","content_id":"4793b918e8154b631f49dd436600479fc7487ab1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1723,"license_type":"no_license","max_line_length":118,"num_lines":44,"path":"/PyTest_Project/Calculator/tests/test_Calculator_Performance.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"from Calculator.Calculator.Calculator import Calculator\n\n\"\"\"Use conftest.py while running this test\"\"\"\n\nc= Calculator()\n\ndef test_add(numbers_csv):\n for set in numbers_csv.index:\n print(set)\n print(numbers_csv['num1'][set], numbers_csv['num2'][set])\n result = c.add(numbers_csv['num1'][set], numbers_csv['num2'][set])\n print(result, numbers_csv['add'][set])\n assert result== numbers_csv['add'][set], \"Actual: {}, Expected: {}\".format(result,numbers_csv['add'][set])\n\ndef test_subtract(numbers_csv):\n for set in numbers_csv.index:\n #print(numbers_csv['num1'][set], numbers_csv['num2'][set])\n result = c.subtract(numbers_csv['num1'][set], numbers_csv['num2'][set])\n assert result== numbers_csv['sub'][set], \"Actual: {}, Expected: {}\".format(result,numbers_csv['sub'][set])\n\ndef test_multiply(numbers_csv):\n for set in numbers_csv.index:\n #print(numbers_csv['num1'][set], numbers_csv['num2'][set])\n result = c.multiply(numbers_csv['num1'][set], numbers_csv['num2'][set])\n assert result== numbers_csv['multi'][set], \"Actual: {}, Expected: {}\".format(result,numbers_csv['multi'][set])\n\ndef test_divide(numbers_csv):\n for set in numbers_csv.index:\n #print(numbers_csv['num1'][set], numbers_csv['num2'][set])\n result = c.divide(numbers_csv['num1'][set], numbers_csv['num2'][set])\n assert result== numbers_csv['div'][set], \"Actual: {}, Expected: {}\".format(result,numbers_csv['div'][set])\n\n\n# def teardown_module():\n# print(\"teardown_module\")\n#\n# def setup_module():\n# print(\"setup_module\")\n#\n# def setup_function():\n# print(\" setup_function\")\n#\n# def teardown_function():\n# print(\" teardown_function\")\n"},{"alpha_fraction":0.6545454263687134,"alphanum_fraction":0.6636363863945007,"avg_line_length":21.200000762939453,"blob_id":"5df8de277ab57a0533017ab81ee9e377703a44bf","content_id":"f3dc6af43532fdaead03dcb8012e5a1dc5c8b60b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":110,"license_type":"no_license","max_line_length":67,"num_lines":5,"path":"/PyTest_Project/Calculator/tests/pytest.ini","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"[pytest]\n\n#addopts = --maxfail 2\nmarkers =\n DB: marks tests as database tests (deselect with '-m \"not DB\"')"},{"alpha_fraction":0.5696202516555786,"alphanum_fraction":0.594936728477478,"avg_line_length":10,"blob_id":"414e14ea6156a3c7c0c45e7ee1e1f8ef499ecf32","content_id":"7fad088c4affd1ae96020e040f9a5af1a80e1853","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":79,"license_type":"no_license","max_line_length":15,"num_lines":7,"path":"/PyTest_Project/conftest.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"import pytest\n\n@pytest.fixture\ndef numbers():\n a=6\n b=3\n return a,b\n\n\n"},{"alpha_fraction":0.6439393758773804,"alphanum_fraction":0.6553030014038086,"avg_line_length":21.08333396911621,"blob_id":"9d116162b6e421a28397fd75fc61c86c6731e730","content_id":"e8233291a3ebd9f61ddff5f4ddf175c2a0e2c139","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":264,"license_type":"no_license","max_line_length":67,"num_lines":12,"path":"/PyTest_Project/UserApp/pytest.ini","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"[pytest]\n\n#addopts = --maxfail 2\naddopts = --strict-markers --maxfail 20\nmarkers =\n DB: marks tests as database tests (deselect with '-m \"not DB\"')\n abc\n api\n ui\n#python_files = check_*.py *_check.py\n#python_classes = Check*\n#python_functions = *_check"},{"alpha_fraction":0.7310924530029297,"alphanum_fraction":0.7310924530029297,"avg_line_length":19,"blob_id":"8cd990b835c293e68b99d24517c9be1eab4eea4a","content_id":"ae3ddea1f0233544e1e44415827d938240821082","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":119,"license_type":"no_license","max_line_length":39,"num_lines":6,"path":"/PyTest_Project/pytest.ini","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"[pytest]\n\naddopts = --strict-markers\nmarkers =\n regression:Run the regression tests\n sanity: Run the sanity tests"},{"alpha_fraction":0.6806083917617798,"alphanum_fraction":0.6882129311561584,"avg_line_length":15.5,"blob_id":"af4e12884f93744a60892dbffe6aeff4dd501107","content_id":"9b694b83b0ceed5d80cd45d5a9781de648003760","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":263,"license_type":"no_license","max_line_length":44,"num_lines":16,"path":"/PyTest_Project/UserApp/conftest.py","repo_name":"SpeedSourceLAB/Calculator-PyTestProject","src_encoding":"UTF-8","text":"import pytest\n\n@pytest.fixture(scope='session')\ndef database_connection():\n print(\"Database Connection Established\")\n return True\n\n@pytest.fixture(scope='session')\ndef ui_open():\n return True\n\n@pytest.fixture\ndef numbers():\n a=9\n b=3\n return a,b"}],"string":"[\n {\n \"alpha_fraction\": 0.5261669158935547,\n \"alphanum_fraction\": 0.5685997009277344,\n \"avg_line_length\": 30.954545974731445,\n \"blob_id\": \"dce73e218b477f877efc20b6b9e342aabe12c8cd\",\n \"content_id\": \"d1d6cdae260441e823ad1300729e416725213194\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 707,\n \"license_type\": \"no_license\",\n \"max_line_length\": 70,\n \"num_lines\": 22,\n \"path\": \"/PyTest_Project/conftest_arithmetic_test.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\n\\\"\\\"\\\"Use conftest.py while running this test\\\"\\\"\\\"\\n\\ndef test_add():\\n a=2\\n b=3\\n assert a + b == 6, \\\"Expected: {}, Result: {}\\\".format(a+b,6)\\n\\ndef test_add(numbers):\\n assert numbers[0] + numbers[1] == 5, \\\\\\n \\\"Expected: {}, Result: {}\\\".format(numbers[0]+numbers[1],5)\\n\\ndef testsubtract(numbers):\\n assert numbers[0] - numbers[1] == 3, \\\\\\n \\\"Expected: {}, Result: {}\\\".format(numbers[0] - numbers[1], 3)\\n\\ndef testmultiply(numbers):\\n assert numbers[0] * numbers[1] == 18, \\\\\\n \\\"Expected: {}, Result: {}\\\".format(numbers[0] * numbers[1], 18)\\n\\ndef test_divide(numbers):\\n assert (numbers[0] / numbers[1]) == 3, \\\\\\n \\\"Expected: {}, Result: {}\\\".format(numbers[0] / numbers[1], 3)\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6326326131820679,\n \"alphanum_fraction\": 0.6556556820869446,\n \"avg_line_length\": 28.352941513061523,\n \"blob_id\": \"ef35273260b9febd30937345185b0ff204e2870e\",\n \"content_id\": \"c31d28d18f8c8b28a6fa02e4234f9e65e417d5cf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 999,\n \"license_type\": \"no_license\",\n \"max_line_length\": 86,\n \"num_lines\": 34,\n \"path\": \"/PyTest_Project/Calculator/tests/test_Calculator.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pytest\\n\\nfrom Calculator.Calculator.Calculator import Calculator\\n\\\"\\\"\\\"Use conftest.py while running this test\\\"\\\"\\\"\\n\\nc= Calculator()\\n\\n@pytest.mark.xfail\\ndef test_input_value_is_integer(numbers):\\n result =c.numbers_is_integer(numbers)\\n assert result == True\\n\\ndef test_add(numbers):\\n result = c.add(numbers[0], numbers[1])\\n assert result == 12, \\\"Expected: {}, Result: {}\\\".format(result, 12)\\n\\ndef testsubtract(numbers):\\n result = c.subtract(numbers[0], numbers[1])\\n assert result == 6, \\\"Expected: {}, Result: {}\\\".format(result, 6)\\n\\ndef testmultiply(numbers):\\n result = c.multiply(numbers[0], numbers[1])\\n assert result == 27, \\\"Expected: {}, Result: {}\\\".format(result, 27)\\n\\ndef test_divide(numbers):\\n result = c.divide(numbers[0], numbers[1])\\n assert result == 6, \\\"Expected: {}, Result: {}\\\".format(result, 3)\\n\\n\\ndef test_divide_by_zero():\\n a= 10\\n b =0\\n result = c.divide(a,b)\\n assert result == \\\"Infinity\\\", \\\"Expected: {}, Result: {}\\\".format(result, \\\"Infinity\\\")\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.45736435055732727,\n \"alphanum_fraction\": 0.49870800971984863,\n \"avg_line_length\": 19.36842155456543,\n \"blob_id\": \"68edb55be04e8ac03c1583a53099c7d0a531ce1d\",\n \"content_id\": \"0ed06e2a2e75f90358203ce9280c4886f9374f39\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 387,\n \"license_type\": \"no_license\",\n \"max_line_length\": 63,\n \"num_lines\": 19,\n \"path\": \"/PyTest_Project/basic_arithmetic_test.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"def test_add():\\n a=6\\n b=3\\n assert a + b == 9, \\\"Expected: {}, Result: {}\\\".format(a+b,9)\\n\\ndef testsubtract():\\n a=6\\n b=3\\n assert a-b == 2, \\\"Expected:{}, Result: {}\\\".format(a-b,2)\\n\\ndef multiplytest():\\n a=6\\n b=3\\n assert a * b == 6, \\\"Expected: {}, Result: {}\\\".format(a*b,6)\\n\\ndef divide():\\n a=6\\n b=3\\n assert a/b == 2, \\\"Expected:{}, Result: {}\\\".format(a/b,2)\\n\"\n },\n {\n \"alpha_fraction\": 0.5733590722084045,\n \"alphanum_fraction\": 0.57722008228302,\n \"avg_line_length\": 18.11111068725586,\n \"blob_id\": \"570b0738b1dfe9cc813f704cee11c56dfd1cfb1f\",\n \"content_id\": \"a9036b30d59ffe885697b73231d67b97b9b513e3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 518,\n \"license_type\": \"no_license\",\n \"max_line_length\": 50,\n \"num_lines\": 27,\n \"path\": \"/PyTest_Project/Calculator/tests/conftest.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pytest\\nimport pandas as pd\\n\\n\\n@pytest.fixture\\ndef numbers():\\n a=9\\n b=3\\n print(\\\"Herllo\\\")\\n return a,b\\n\\n\\n\\n\\n\\n\\n@pytest.fixture(scope='module')\\ndef numbers_csv():\\n print(\\\"\\\\n=============SETUP==============\\\")\\n data=pd.read_csv('numbers.csv')\\n print( \\\"Initialization Size\\\",data.size)\\n print(\\\"Initialization Shape\\\",data.shape)\\n yield data\\n print(\\\"\\\\n============TEAR DOWN==============\\\")\\n data = pd.DataFrame()\\n print(\\\"Teardown Size\\\",data.size)\\n print(\\\"Teardown Shape\\\",data.shape)\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5860000252723694,\n \"alphanum_fraction\": 0.6200000047683716,\n \"avg_line_length\": 23.950000762939453,\n \"blob_id\": \"2056f95d5dea1a326d68e85a60dedfbab0b3485e\",\n \"content_id\": \"39f754ed4f1757400dfa39ad869913b6427490ea\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 500,\n \"license_type\": \"no_license\",\n \"max_line_length\": 38,\n \"num_lines\": 20,\n \"path\": \"/PyTest_Project/Calculator/Calculator/Calculator.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\n# Function to add two numbers\\nclass Calculator:\\n\\n def add(self,num1, num2):\\n return num1+num2\\n\\n # Function to subtract two numbers\\n def subtract(self,num1,num2):\\n return num1 - num2\\n\\n # Function to multiply two numbers\\n def multiply(self, num1, num2):\\n return num1 * num2\\n\\n # Function to divide two numbers\\n def divide(self,num1, num2):\\n try:\\n return(round(num1/num2,2))\\n except ZeroDivisionError as e:\\n return \\\"Infinity\\\"\\n\"\n },\n {\n \"alpha_fraction\": 0.6192687153816223,\n \"alphanum_fraction\": 0.6285548210144043,\n \"avg_line_length\": 38.15909194946289,\n \"blob_id\": \"e4d38c9a98b988f624d2c1fb85efac7b3f5e6c8d\",\n \"content_id\": \"4793b918e8154b631f49dd436600479fc7487ab1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1723,\n \"license_type\": \"no_license\",\n \"max_line_length\": 118,\n \"num_lines\": 44,\n \"path\": \"/PyTest_Project/Calculator/tests/test_Calculator_Performance.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from Calculator.Calculator.Calculator import Calculator\\n\\n\\\"\\\"\\\"Use conftest.py while running this test\\\"\\\"\\\"\\n\\nc= Calculator()\\n\\ndef test_add(numbers_csv):\\n for set in numbers_csv.index:\\n print(set)\\n print(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n result = c.add(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n print(result, numbers_csv['add'][set])\\n assert result== numbers_csv['add'][set], \\\"Actual: {}, Expected: {}\\\".format(result,numbers_csv['add'][set])\\n\\ndef test_subtract(numbers_csv):\\n for set in numbers_csv.index:\\n #print(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n result = c.subtract(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n assert result== numbers_csv['sub'][set], \\\"Actual: {}, Expected: {}\\\".format(result,numbers_csv['sub'][set])\\n\\ndef test_multiply(numbers_csv):\\n for set in numbers_csv.index:\\n #print(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n result = c.multiply(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n assert result== numbers_csv['multi'][set], \\\"Actual: {}, Expected: {}\\\".format(result,numbers_csv['multi'][set])\\n\\ndef test_divide(numbers_csv):\\n for set in numbers_csv.index:\\n #print(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n result = c.divide(numbers_csv['num1'][set], numbers_csv['num2'][set])\\n assert result== numbers_csv['div'][set], \\\"Actual: {}, Expected: {}\\\".format(result,numbers_csv['div'][set])\\n\\n\\n# def teardown_module():\\n# print(\\\"teardown_module\\\")\\n#\\n# def setup_module():\\n# print(\\\"setup_module\\\")\\n#\\n# def setup_function():\\n# print(\\\" setup_function\\\")\\n#\\n# def teardown_function():\\n# print(\\\" teardown_function\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.6545454263687134,\n \"alphanum_fraction\": 0.6636363863945007,\n \"avg_line_length\": 21.200000762939453,\n \"blob_id\": \"5df8de277ab57a0533017ab81ee9e377703a44bf\",\n \"content_id\": \"f3dc6af43532fdaead03dcb8012e5a1dc5c8b60b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 110,\n \"license_type\": \"no_license\",\n \"max_line_length\": 67,\n \"num_lines\": 5,\n \"path\": \"/PyTest_Project/Calculator/tests/pytest.ini\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[pytest]\\n\\n#addopts = --maxfail 2\\nmarkers =\\n DB: marks tests as database tests (deselect with '-m \\\"not DB\\\"')\"\n },\n {\n \"alpha_fraction\": 0.5696202516555786,\n \"alphanum_fraction\": 0.594936728477478,\n \"avg_line_length\": 10,\n \"blob_id\": \"414e14ea6156a3c7c0c45e7ee1e1f8ef499ecf32\",\n \"content_id\": \"7fad088c4affd1ae96020e040f9a5af1a80e1853\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 79,\n \"license_type\": \"no_license\",\n \"max_line_length\": 15,\n \"num_lines\": 7,\n \"path\": \"/PyTest_Project/conftest.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pytest\\n\\n@pytest.fixture\\ndef numbers():\\n a=6\\n b=3\\n return a,b\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6439393758773804,\n \"alphanum_fraction\": 0.6553030014038086,\n \"avg_line_length\": 21.08333396911621,\n \"blob_id\": \"9d116162b6e421a28397fd75fc61c86c6731e730\",\n \"content_id\": \"e8233291a3ebd9f61ddff5f4ddf175c2a0e2c139\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 264,\n \"license_type\": \"no_license\",\n \"max_line_length\": 67,\n \"num_lines\": 12,\n \"path\": \"/PyTest_Project/UserApp/pytest.ini\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[pytest]\\n\\n#addopts = --maxfail 2\\naddopts = --strict-markers --maxfail 20\\nmarkers =\\n DB: marks tests as database tests (deselect with '-m \\\"not DB\\\"')\\n abc\\n api\\n ui\\n#python_files = check_*.py *_check.py\\n#python_classes = Check*\\n#python_functions = *_check\"\n },\n {\n \"alpha_fraction\": 0.7310924530029297,\n \"alphanum_fraction\": 0.7310924530029297,\n \"avg_line_length\": 19,\n \"blob_id\": \"8cd990b835c293e68b99d24517c9be1eab4eea4a\",\n \"content_id\": \"ae3ddea1f0233544e1e44415827d938240821082\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 119,\n \"license_type\": \"no_license\",\n \"max_line_length\": 39,\n \"num_lines\": 6,\n \"path\": \"/PyTest_Project/pytest.ini\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[pytest]\\n\\naddopts = --strict-markers\\nmarkers =\\n regression:Run the regression tests\\n sanity: Run the sanity tests\"\n },\n {\n \"alpha_fraction\": 0.6806083917617798,\n \"alphanum_fraction\": 0.6882129311561584,\n \"avg_line_length\": 15.5,\n \"blob_id\": \"af4e12884f93744a60892dbffe6aeff4dd501107\",\n \"content_id\": \"9b694b83b0ceed5d80cd45d5a9781de648003760\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 263,\n \"license_type\": \"no_license\",\n \"max_line_length\": 44,\n \"num_lines\": 16,\n \"path\": \"/PyTest_Project/UserApp/conftest.py\",\n \"repo_name\": \"SpeedSourceLAB/Calculator-PyTestProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pytest\\n\\n@pytest.fixture(scope='session')\\ndef database_connection():\\n print(\\\"Database Connection Established\\\")\\n return True\\n\\n@pytest.fixture(scope='session')\\ndef ui_open():\\n return True\\n\\n@pytest.fixture\\ndef numbers():\\n a=9\\n b=3\\n return a,b\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":11,"string":"11"}}},{"rowIdx":2984186,"cells":{"repo_name":{"kind":"string","value":"mambocab/algorithms"},"repo_url":{"kind":"string","value":"https://github.com/mambocab/algorithms"},"snapshot_id":{"kind":"string","value":"f70f775e4b506bcedf38981b73f3ca957f82b75a"},"revision_id":{"kind":"string","value":"c90b97dee03e7399b75249d196992f9d9191546b"},"directory_id":{"kind":"string","value":"1b290bb49af52b8e2cc4fc046df0ddc9894064e1"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-15T10:13:01.458501","string":"2021-01-15T10:13:01.458501"},"revision_date":{"kind":"timestamp","value":"2015-01-14T15:50:04","string":"2015-01-14T15:50:04"},"committer_date":{"kind":"timestamp","value":"2015-01-14T15:50:04","string":"2015-01-14T15:50:04"},"github_id":{"kind":"number","value":28716830,"string":"28,716,830"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"timestamp","value":"2015-01-02T15:17:22","string":"2015-01-02T15:17:22"},"gha_updated_at":{"kind":"timestamp","value":"2015-01-02T14:29:14","string":"2015-01-02T14:29:14"},"gha_pushed_at":{"kind":"timestamp","value":"2014-12-29T16:55:10","string":"2014-12-29T16:55:10"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5217044949531555,"alphanum_fraction":0.5284746885299683,"avg_line_length":31.610389709472656,"blob_id":"c9594d6f331d84fd23a20aece8349dd6bf6089c0","content_id":"e34c1621a4d43b6f377b9cf07a862cd76f874587","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2511,"license_type":"no_license","max_line_length":78,"num_lines":77,"path":"/dijkstra.py","repo_name":"mambocab/algorithms","src_encoding":"UTF-8","text":"from collections import namedtuple\n\nclass Edge(namedtuple('Edge', 'start end cost')):\n __slots__ = ()\n\n def __contains__(self, v):\n return v == self.start or v == self.end\n\n def other(self, v):\n if v == self.start:\n return self.end\n if v == self.end:\n return self.start\n raise ValueError\n\n\nclass Graph:\n def __init__(self, vertices, edges):\n self.edges = edges\n self.vertices = vertices\n\n def connections(self, v):\n yield from [e for e in self.edges if v in e]\n\n def check_in_graph(self, v):\n if v not in self.vertices:\n template = \"'{v}' not in vertices: {vs}\"\n raise ValueError(template.format(v=v, vs=self.vertices))\n\n\n def shortest_distance(self, source, destination=None):\n self.check_in_graph(source)\n if destination:\n self.check_in_graph(destination)\n\n if source == destination:\n return 0\n\n distances = {v: float('inf') for v in self.vertices}\n distances[source] = 0\n distances.update(**{e.other(source): e.cost\n for e in self.connections(source)})\n\n unvisited = [v for v in self.vertices if v != source]\n\n while (destination is None and unvisited) or destination in unvisited:\n current = min(unvisited, key=distances.get)\n unvisited.remove(current)\n\n for e in self.connections(current):\n other = e.other(current)\n distances[other] = min(distances.get(other, float('inf')),\n distances[current] + e.cost)\n if destination:\n return distances[destination]\n return distances\n\n\n\n\nif __name__ == '__main__':\n # test data from http://rosettacode.org/wiki/Dijkstra%27s_algorithm\n rosetta_vertices = ('a', 'b', 'c', 'd', 'e', 'f')\n rosetta_edges = (Edge(start='a', end='b', cost=7),\n Edge(start='a', end='c', cost=9),\n Edge(start='a', end='f', cost=14),\n Edge(start='b', end='c', cost=10),\n Edge(start='b', end='d', cost=15),\n Edge(start='c', end='d', cost=11),\n Edge(start='c', end='f', cost=2),\n Edge(start='d', end='e', cost=6),\n Edge(start='e', end='f', cost=9))\n\n g = Graph(rosetta_vertices, rosetta_edges)\n\n print(g.shortest_distance('a', 'e'))\n print(g.shortest_distance('a'))\n"},{"alpha_fraction":0.5583333373069763,"alphanum_fraction":0.5770833492279053,"avg_line_length":24.263158798217773,"blob_id":"21567e534fb1357252a183be6b0a824173e77a56","content_id":"bfdfde38973e4ece2e4f24ea3c5d7728f58b7b53","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":960,"license_type":"no_license","max_line_length":80,"num_lines":38,"path":"/binary_search.py","repo_name":"mambocab/algorithms","src_encoding":"UTF-8","text":"from itertools import product\nfrom rumble import rumble\n\n\n@rumble.contender\ndef recursive(n, collection):\n if not collection:\n return None\n\n mid = len(collection) // 2\n\n if n < collection[mid]:\n return recursive(n, collection[:mid])\n elif collection[mid] == n:\n return mid\n elif collection[mid] < n:\n return recursive(n, collection[mid+1:])\n\n@rumble.contender\ndef iterative(n, collection):\n candidates = collection[:]\n\n while candidates:\n mid = len(candidates) // 2\n if n < candidates[mid]:\n candidates = candidates[:mid]\n elif candidates[mid] == n:\n return mid\n elif candidates[mid] < n:\n candidates = candidates[mid+1:]\n return None\n\n\nif __name__ == '__main__':\n for t, n in product([tuple, list], [100, 1000, 10000]):\n xs = t(range(n))\n rumble.arguments(50, xs, _name=('len(' + t.__name__ + ') == ' + str(n)))\n rumble.run()\n"},{"alpha_fraction":0.6796537041664124,"alphanum_fraction":0.6851370930671692,"avg_line_length":35.86170196533203,"blob_id":"71f6046068589a45677adaacdbc131dcae5b2746","content_id":"905598c3c8ae341cc311098cd429128171d0dcf1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3465,"license_type":"no_license","max_line_length":81,"num_lines":94,"path":"/utils/getnamedtuple.py","repo_name":"mambocab/algorithms","src_encoding":"UTF-8","text":"import sys\nfrom collections import namedtuple\n\ntry:\n from collections import OrderedDict\nexcept:\n from ordereddict import OrderedDict\n\nnamedtuple_has_rename_kwarg = sys.version_info[:2] >= (2, 7)\n\ndef get_namedtuple(name, data_arg=None, _verbose=False, _rename=False, **kw):\n '''\n Creates a one-off namedtuple with a single function call, without\n explicitly instantiating it as a new class. For example, what was once:\n\n >>> Point = namedtuple('Point', ['x', 'y'])\n >>> p = Point(3, 5)\n >>> p.x, p.y\n (3, 5)\n\n becomes:\n\n >>> p = get_namedtuple('Point', x=3, y=5)\n >>> p.x, p.y\n (3, 5)\n\n This function can also take a key-value collection as input:\n\n >>> g = {'informal': 'Hi there!', 'formal': 'Hello; nice to meet you.'}\n >>> greetings = get_namedtuple('Greetings', g)\n >>> greetings.informal\n 'Hi there!'\n >>> greetings.formal\n 'Hello; nice to meet you.'\n\n It raises a ValueError if passed both a collection and keyword arguments\n for namedtuple fields.\n\n Note that, in the above ways of calling get_namedtuple, the order of the\n arguments to get_namedtuple is not necessarily preserved in the order of\n the returned namedtuple's fields. In this case, to access particular\n fields by index rather than by name, you must first determine the index of\n the attribute you want by looking at the _fields attribute:\n\n >>> i = greetings._fields.index('informal')\n >>> greetings[i]\n 'Hi there!'\n\n Do not write code that depends on the order of the returned namedtuple's\n fields if you call the function in the above ways, as not all Python\n implementations guarantee deterministic order for dictionary keys and\n keyword arguments.\n\n You can also get namedtuples with guaranteed field order, sidestepping the\n problem entirely, by passing an ordered collection of key-value pairs:\n\n >>> get_namedtuple('Point', (('a', 5), ('b', 7)))._fields\n ('a', 'b')\n\n Internally, this is passed to the OrderedDict constructor, so inputs must\n conform to valid OrderedDict constructor arguments. You can also construct\n an OrderedDict yourself and pass it in if you prefer. See the\n documentation for OrderedDict in the collections module for more\n information.\n\n If _verbose and/or _rename are true, it calls namedtuple with verbose\n and/or rename, respectively; these arguments begin with an underscore to\n allow callers to specify fields called 'verbose' and 'rename'.\n\n This function performs no error handling around the instantiation of the\n namedtuple class or object, so it may raise any error that namedtuple\n does.\n\n For further documentation on verbose, rename, errors, and the returned\n namedtuple itself, see the documentation for namedtuple in the collections\n module.\n '''\n\n if data_arg is not None and kw != {}:\n msg = 'get_namedtuple() called with {} and {}, but '.format(data_arg, kw)\n msg += 'it takes a collection or keyword arguments, not both.'\n raise ValueError(msg)\n\n # constructing OrderedDict allows ordered inputs like\n # [('key1', 1), ('key2', 2)]\n kw = OrderedDict(data_arg) if data_arg is not None else kw\n\n # prepare keyword arguments for namedtuple() call\n nt_opts = {'verbose': _verbose}\n # rename kwarg introduced in 2.7\n if namedtuple_has_rename_kwarg:\n nt_opts['rename'] = _rename\n\n return namedtuple(name, kw.keys(), **nt_opts)(**kw)\n"},{"alpha_fraction":0.5052909851074219,"alphanum_fraction":0.5449735522270203,"avg_line_length":17,"blob_id":"63c5083e48f95383f5721e0d711dfd67dc101125","content_id":"fe1eda9ee4dabb3c006bcce75703b412534ca020","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":756,"license_type":"no_license","max_line_length":53,"num_lines":42,"path":"/sq_root.py","repo_name":"mambocab/algorithms","src_encoding":"UTF-8","text":"from random import uniform\n\nfrom rumble import rumble\n\nepsilon = .000001\ninit_guess = 10\n\ndef close(a, b):\n return (a - epsilon) < b < (b + epsilon)\n\n@rumble.contender\ndef newton(n):\n guess = init_guess\n guess_2 = guess ** 2\n\n while not close(guess_2, n):\n guess = guess - ((guess_2 - n) / (2 * guess))\n guess_2 = guess ** 2\n\n return guess\n\n\n@rumble.contender\ndef binary(n):\n bottom, top = 0, n\n guess = uniform(bottom, top)\n guess_2 = guess ** 2\n\n while not close(guess_2, n):\n if guess_2 < n:\n bottom = guess\n else:\n top = guess\n guess_2 = guess ** 2\n\n return guess\n\n\nif __name__ == '__main__':\n for n in [400, 20000]:\n rumble.arguments(n)\n rumble.run()\n"},{"alpha_fraction":0.36599764227867126,"alphanum_fraction":0.4203069806098938,"avg_line_length":23.91176414489746,"blob_id":"c5ad667a2195f86283b9b959c216c403970daeec","content_id":"88406a09ca55d1be06f16ac1691fa6b22f14a0c4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":847,"license_type":"no_license","max_line_length":68,"num_lines":34,"path":"/longest_increasing_subsequence.py","repo_name":"mambocab/algorithms","src_encoding":"UTF-8","text":"from collections import deque\n\ndef wiki(xs):\n current_max_len = 0\n m = [0 for x in xs]\n preds = [0 for x in xs]\n\n longest = 0\n\n for i, x in enumerate(xs):\n lo, hi = 1, current_max_len\n mid = (lo + hi) // 2\n if xs[m[mid]] < x:\n lo = mid + 1\n else:\n hi = mid - 1\n\n longest, preds[i], m[lo] = (lo if lo > longest else longest,\n m[lo - 1],\n i)\n\n rv = deque([xs[m[longest]]])\n for x in reversed(xs):\n if rv[0] > x:\n rv.appendleft(x)\n\n return rv\n\nif __name__ == '__main__':\n output = wiki([0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5,\n 13, 3, 11, 4, 5, 6, 7, 15, 8, 9])\n expected = [0, 2, 3, 4, 5, 6, 7, 8, 9]\n print(output)\n assert len(output) == len(expected)\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5217044949531555,\n \"alphanum_fraction\": 0.5284746885299683,\n \"avg_line_length\": 31.610389709472656,\n \"blob_id\": \"c9594d6f331d84fd23a20aece8349dd6bf6089c0\",\n \"content_id\": \"e34c1621a4d43b6f377b9cf07a862cd76f874587\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2511,\n \"license_type\": \"no_license\",\n \"max_line_length\": 78,\n \"num_lines\": 77,\n \"path\": \"/dijkstra.py\",\n \"repo_name\": \"mambocab/algorithms\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from collections import namedtuple\\n\\nclass Edge(namedtuple('Edge', 'start end cost')):\\n __slots__ = ()\\n\\n def __contains__(self, v):\\n return v == self.start or v == self.end\\n\\n def other(self, v):\\n if v == self.start:\\n return self.end\\n if v == self.end:\\n return self.start\\n raise ValueError\\n\\n\\nclass Graph:\\n def __init__(self, vertices, edges):\\n self.edges = edges\\n self.vertices = vertices\\n\\n def connections(self, v):\\n yield from [e for e in self.edges if v in e]\\n\\n def check_in_graph(self, v):\\n if v not in self.vertices:\\n template = \\\"'{v}' not in vertices: {vs}\\\"\\n raise ValueError(template.format(v=v, vs=self.vertices))\\n\\n\\n def shortest_distance(self, source, destination=None):\\n self.check_in_graph(source)\\n if destination:\\n self.check_in_graph(destination)\\n\\n if source == destination:\\n return 0\\n\\n distances = {v: float('inf') for v in self.vertices}\\n distances[source] = 0\\n distances.update(**{e.other(source): e.cost\\n for e in self.connections(source)})\\n\\n unvisited = [v for v in self.vertices if v != source]\\n\\n while (destination is None and unvisited) or destination in unvisited:\\n current = min(unvisited, key=distances.get)\\n unvisited.remove(current)\\n\\n for e in self.connections(current):\\n other = e.other(current)\\n distances[other] = min(distances.get(other, float('inf')),\\n distances[current] + e.cost)\\n if destination:\\n return distances[destination]\\n return distances\\n\\n\\n\\n\\nif __name__ == '__main__':\\n # test data from http://rosettacode.org/wiki/Dijkstra%27s_algorithm\\n rosetta_vertices = ('a', 'b', 'c', 'd', 'e', 'f')\\n rosetta_edges = (Edge(start='a', end='b', cost=7),\\n Edge(start='a', end='c', cost=9),\\n Edge(start='a', end='f', cost=14),\\n Edge(start='b', end='c', cost=10),\\n Edge(start='b', end='d', cost=15),\\n Edge(start='c', end='d', cost=11),\\n Edge(start='c', end='f', cost=2),\\n Edge(start='d', end='e', cost=6),\\n Edge(start='e', end='f', cost=9))\\n\\n g = Graph(rosetta_vertices, rosetta_edges)\\n\\n print(g.shortest_distance('a', 'e'))\\n print(g.shortest_distance('a'))\\n\"\n },\n {\n \"alpha_fraction\": 0.5583333373069763,\n \"alphanum_fraction\": 0.5770833492279053,\n \"avg_line_length\": 24.263158798217773,\n \"blob_id\": \"21567e534fb1357252a183be6b0a824173e77a56\",\n \"content_id\": \"bfdfde38973e4ece2e4f24ea3c5d7728f58b7b53\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 960,\n \"license_type\": \"no_license\",\n \"max_line_length\": 80,\n \"num_lines\": 38,\n \"path\": \"/binary_search.py\",\n \"repo_name\": \"mambocab/algorithms\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from itertools import product\\nfrom rumble import rumble\\n\\n\\n@rumble.contender\\ndef recursive(n, collection):\\n if not collection:\\n return None\\n\\n mid = len(collection) // 2\\n\\n if n < collection[mid]:\\n return recursive(n, collection[:mid])\\n elif collection[mid] == n:\\n return mid\\n elif collection[mid] < n:\\n return recursive(n, collection[mid+1:])\\n\\n@rumble.contender\\ndef iterative(n, collection):\\n candidates = collection[:]\\n\\n while candidates:\\n mid = len(candidates) // 2\\n if n < candidates[mid]:\\n candidates = candidates[:mid]\\n elif candidates[mid] == n:\\n return mid\\n elif candidates[mid] < n:\\n candidates = candidates[mid+1:]\\n return None\\n\\n\\nif __name__ == '__main__':\\n for t, n in product([tuple, list], [100, 1000, 10000]):\\n xs = t(range(n))\\n rumble.arguments(50, xs, _name=('len(' + t.__name__ + ') == ' + str(n)))\\n rumble.run()\\n\"\n },\n {\n \"alpha_fraction\": 0.6796537041664124,\n \"alphanum_fraction\": 0.6851370930671692,\n \"avg_line_length\": 35.86170196533203,\n \"blob_id\": \"71f6046068589a45677adaacdbc131dcae5b2746\",\n \"content_id\": \"905598c3c8ae341cc311098cd429128171d0dcf1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3465,\n \"license_type\": \"no_license\",\n \"max_line_length\": 81,\n \"num_lines\": 94,\n \"path\": \"/utils/getnamedtuple.py\",\n \"repo_name\": \"mambocab/algorithms\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sys\\nfrom collections import namedtuple\\n\\ntry:\\n from collections import OrderedDict\\nexcept:\\n from ordereddict import OrderedDict\\n\\nnamedtuple_has_rename_kwarg = sys.version_info[:2] >= (2, 7)\\n\\ndef get_namedtuple(name, data_arg=None, _verbose=False, _rename=False, **kw):\\n '''\\n Creates a one-off namedtuple with a single function call, without\\n explicitly instantiating it as a new class. For example, what was once:\\n\\n >>> Point = namedtuple('Point', ['x', 'y'])\\n >>> p = Point(3, 5)\\n >>> p.x, p.y\\n (3, 5)\\n\\n becomes:\\n\\n >>> p = get_namedtuple('Point', x=3, y=5)\\n >>> p.x, p.y\\n (3, 5)\\n\\n This function can also take a key-value collection as input:\\n\\n >>> g = {'informal': 'Hi there!', 'formal': 'Hello; nice to meet you.'}\\n >>> greetings = get_namedtuple('Greetings', g)\\n >>> greetings.informal\\n 'Hi there!'\\n >>> greetings.formal\\n 'Hello; nice to meet you.'\\n\\n It raises a ValueError if passed both a collection and keyword arguments\\n for namedtuple fields.\\n\\n Note that, in the above ways of calling get_namedtuple, the order of the\\n arguments to get_namedtuple is not necessarily preserved in the order of\\n the returned namedtuple's fields. In this case, to access particular\\n fields by index rather than by name, you must first determine the index of\\n the attribute you want by looking at the _fields attribute:\\n\\n >>> i = greetings._fields.index('informal')\\n >>> greetings[i]\\n 'Hi there!'\\n\\n Do not write code that depends on the order of the returned namedtuple's\\n fields if you call the function in the above ways, as not all Python\\n implementations guarantee deterministic order for dictionary keys and\\n keyword arguments.\\n\\n You can also get namedtuples with guaranteed field order, sidestepping the\\n problem entirely, by passing an ordered collection of key-value pairs:\\n\\n >>> get_namedtuple('Point', (('a', 5), ('b', 7)))._fields\\n ('a', 'b')\\n\\n Internally, this is passed to the OrderedDict constructor, so inputs must\\n conform to valid OrderedDict constructor arguments. You can also construct\\n an OrderedDict yourself and pass it in if you prefer. See the\\n documentation for OrderedDict in the collections module for more\\n information.\\n\\n If _verbose and/or _rename are true, it calls namedtuple with verbose\\n and/or rename, respectively; these arguments begin with an underscore to\\n allow callers to specify fields called 'verbose' and 'rename'.\\n\\n This function performs no error handling around the instantiation of the\\n namedtuple class or object, so it may raise any error that namedtuple\\n does.\\n\\n For further documentation on verbose, rename, errors, and the returned\\n namedtuple itself, see the documentation for namedtuple in the collections\\n module.\\n '''\\n\\n if data_arg is not None and kw != {}:\\n msg = 'get_namedtuple() called with {} and {}, but '.format(data_arg, kw)\\n msg += 'it takes a collection or keyword arguments, not both.'\\n raise ValueError(msg)\\n\\n # constructing OrderedDict allows ordered inputs like\\n # [('key1', 1), ('key2', 2)]\\n kw = OrderedDict(data_arg) if data_arg is not None else kw\\n\\n # prepare keyword arguments for namedtuple() call\\n nt_opts = {'verbose': _verbose}\\n # rename kwarg introduced in 2.7\\n if namedtuple_has_rename_kwarg:\\n nt_opts['rename'] = _rename\\n\\n return namedtuple(name, kw.keys(), **nt_opts)(**kw)\\n\"\n },\n {\n \"alpha_fraction\": 0.5052909851074219,\n \"alphanum_fraction\": 0.5449735522270203,\n \"avg_line_length\": 17,\n \"blob_id\": \"63c5083e48f95383f5721e0d711dfd67dc101125\",\n \"content_id\": \"fe1eda9ee4dabb3c006bcce75703b412534ca020\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 756,\n \"license_type\": \"no_license\",\n \"max_line_length\": 53,\n \"num_lines\": 42,\n \"path\": \"/sq_root.py\",\n \"repo_name\": \"mambocab/algorithms\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from random import uniform\\n\\nfrom rumble import rumble\\n\\nepsilon = .000001\\ninit_guess = 10\\n\\ndef close(a, b):\\n return (a - epsilon) < b < (b + epsilon)\\n\\n@rumble.contender\\ndef newton(n):\\n guess = init_guess\\n guess_2 = guess ** 2\\n\\n while not close(guess_2, n):\\n guess = guess - ((guess_2 - n) / (2 * guess))\\n guess_2 = guess ** 2\\n\\n return guess\\n\\n\\n@rumble.contender\\ndef binary(n):\\n bottom, top = 0, n\\n guess = uniform(bottom, top)\\n guess_2 = guess ** 2\\n\\n while not close(guess_2, n):\\n if guess_2 < n:\\n bottom = guess\\n else:\\n top = guess\\n guess_2 = guess ** 2\\n\\n return guess\\n\\n\\nif __name__ == '__main__':\\n for n in [400, 20000]:\\n rumble.arguments(n)\\n rumble.run()\\n\"\n },\n {\n \"alpha_fraction\": 0.36599764227867126,\n \"alphanum_fraction\": 0.4203069806098938,\n \"avg_line_length\": 23.91176414489746,\n \"blob_id\": \"c5ad667a2195f86283b9b959c216c403970daeec\",\n \"content_id\": \"88406a09ca55d1be06f16ac1691fa6b22f14a0c4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 847,\n \"license_type\": \"no_license\",\n \"max_line_length\": 68,\n \"num_lines\": 34,\n \"path\": \"/longest_increasing_subsequence.py\",\n \"repo_name\": \"mambocab/algorithms\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from collections import deque\\n\\ndef wiki(xs):\\n current_max_len = 0\\n m = [0 for x in xs]\\n preds = [0 for x in xs]\\n\\n longest = 0\\n\\n for i, x in enumerate(xs):\\n lo, hi = 1, current_max_len\\n mid = (lo + hi) // 2\\n if xs[m[mid]] < x:\\n lo = mid + 1\\n else:\\n hi = mid - 1\\n\\n longest, preds[i], m[lo] = (lo if lo > longest else longest,\\n m[lo - 1],\\n i)\\n\\n rv = deque([xs[m[longest]]])\\n for x in reversed(xs):\\n if rv[0] > x:\\n rv.appendleft(x)\\n\\n return rv\\n\\nif __name__ == '__main__':\\n output = wiki([0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5,\\n 13, 3, 11, 4, 5, 6, 7, 15, 8, 9])\\n expected = [0, 2, 3, 4, 5, 6, 7, 8, 9]\\n print(output)\\n assert len(output) == len(expected)\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":5,"string":"5"}}},{"rowIdx":2984187,"cells":{"repo_name":{"kind":"string","value":"heweiyou/Crawer"},"repo_url":{"kind":"string","value":"https://github.com/heweiyou/Crawer"},"snapshot_id":{"kind":"string","value":"3cc0da8a0ed273521531be2490e8e873f44a175a"},"revision_id":{"kind":"string","value":"d0579c8da9a0ba301353366c5a1ee6a137b03650"},"directory_id":{"kind":"string","value":"71e790dbc5c6de73e4ba48a16d9e2883a38d750a"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-09T20:14:39.790706","string":"2021-01-09T20:14:39.790706"},"revision_date":{"kind":"timestamp","value":"2016-07-23T09:55:42","string":"2016-07-23T09:55:42"},"committer_date":{"kind":"timestamp","value":"2016-07-23T09:55:42","string":"2016-07-23T09:55:42"},"github_id":{"kind":"number","value":64010005,"string":"64,010,005"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6630939841270447,"alphanum_fraction":0.6680957674980164,"avg_line_length":22.923076629638672,"blob_id":"8c5d4d52a58001481a62f51e9427213aa4290820","content_id":"3800da77c5ee88f2a7fc27e071d34cf3ae6526b4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2885,"license_type":"no_license","max_line_length":77,"num_lines":117,"path":"/MultiSpider.py","repo_name":"heweiyou/Crawer","src_encoding":"UTF-8","text":"#coding=utf-8\n\nimport threading\nimport urllib\nimport re\nimport time\n\ng_mutex = threading.Condition()\ng_pages=[]#从中解析所有url连接\ng_queueURL=[]#等待爬取的url链接列表\ng_existURL=[]#已经爬取过得url连接列表\ng_failedURL=[]#下载失败的url连接列表\ng_totalcount=0#下载过得页面数\n\nclass CrawlerThread(threading.Thread):\n\tdef __init__(self,url,filename,tid):\n\t\tthreading.Thread.__init__(self)\n\t\tself.url = url\n\t\tself.filename = filename\n\t\tself.tid = tid\n\t\n\tdef run(self):\n\t\tglobal g_mutex\n\t\tglobal g_failedURL\n\t\tglobal g_queueURL\n\t\ttry:\n\t\t\tpage=urllib.urlopen(self.url)\n\t\t\thtml = page.read()\n\t\t\tfout = file(self.filename,'w')\n\t\t\tfout.write(html)\n\t\t\tfout.close()\n\t\texcept Exception,e:\n\t\t\tg_mutex.acquire()\n\t\t\tg_existURL.append(self.url)\n\t\t\tg_failedURL.append(self.url)\n\t\t\tg_mutex.release()\n\t\t\tprint 'Failed downloading and saving',self,url\n\t\t\tprint e\n\t\t\treturn None\n\n\t\tg_mutex.acquire()\n\t\tg_pages.append(html)\n\t\tg_existURL.append(self.url)\n\t\tg_mutex.release()\n\nclass Crawler:\n\tdef __init__(self,crawlername,url,threadnum):\n\t\tself.crawlername = crawlername\n\t\tself.url = url \n\t\tself.threadnum = threadnum\n\t\tself.threadpool=[]\n\t\tself.logfile = file(\"log.txt\",'w')\n\t\n\tdef getUrl(self,content):\n\t\treg=r'\"(http://.+?)\"'\n\t\tregob = re.compile(reg,re.DOTALL)\n\t\turllist = regob.findall(content)\n\t\treturn urllist\n\n\tdef updateQueueURL(self):\n\t\tglobal g_queueURL\n\t\tglobal g_existURL\n\t\tnewUrlList = []\n\t\tfor content in g_pages:\n\t\t\tnewUrlList += self.getUrl(content)\n\t\tg_queueURL = list(set(newUrlList)-set(g_existURL))\n\n\tdef download(self,url,filename,tid):\n\t\tcrawthread = CrawlerThread(url,filename,tid)\n\t\tself.threadpool.append(crawthread)\n\t\tcrawthread.start()\n\n\tdef downloadAll(self):\n\t\tglobal g_queueURL\n\t\tglobal g_totalcount\n\t\ti = 0\n\t\twhile i < len(g_queueURL):\n\t\t\tj = 0\n\t\t\twhile j < self.threadnum and i+j < len(g_queueURL):\n\t\t\t\tg_totalcount += 1\n\t\t\t\tthreadresult = self.download(g_queueURL[i+j],str(g_totalcount)+\".html\",j)\n\t\t\t\tif threadresult != None:\n\t\t\t\t\tprint 'Thread started:',i+j,'--File number =',g_totalcount\n\t\t\t\tj += 1\n\t\t\ti += j\n\t\t\tfor thread in self.threadpool:\n\t\t\t\tthread.join(30)\n\t\t\t\n\t\t\tthreadpool = []\n\t\tg_queueURL = []\n\t\n\tdef craw(self):\n\t\tglobal g_queueURL\n\t\tg_queueURL.append(url)\n\t\tdepth = 0\n\t\tprint self.crawlername+\" starting...\"\n\n\t\twhile len(g_queueURL)!= 0:\n\t\t\tdepth += 1\n\t\t\tprint 'Searching depth ',depth,'...\\n\\n'\n\t\t\tself.logfile.write(\"URL:\"+g_queueURL[0]+\".........\")\n\t\t\tself.downloadAll()\n\t\t\tself.updateQueueURL()\n\t\t\tcontent = '\\n>>>Depth '+str(depth)+':\\n'\n\t\t\tself.logfile.write(content)\n\t\t\ti = 0\n\t\t\twhile i < len(g_queueURL):\n\t\t\t\tcontent = str(g_totalcount+i)+'->'+g_queueURL[i]+'\\n'\n\t\t\t\tself.logfile.write(content)\n\t\t\t\ti += 1\n\nif __name__ == \"__main__\":\n\turl = raw_input(\"please input url:\")\n\tthreadnum = int(raw_input(\"set thread number:\"))\n\tcrawlername = \"crawler\"\n\tcrawler = Crawler(crawlername,url,threadnum)\n\tcrawler.craw()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6630939841270447,\n \"alphanum_fraction\": 0.6680957674980164,\n \"avg_line_length\": 22.923076629638672,\n \"blob_id\": \"8c5d4d52a58001481a62f51e9427213aa4290820\",\n \"content_id\": \"3800da77c5ee88f2a7fc27e071d34cf3ae6526b4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2885,\n \"license_type\": \"no_license\",\n \"max_line_length\": 77,\n \"num_lines\": 117,\n \"path\": \"/MultiSpider.py\",\n \"repo_name\": \"heweiyou/Crawer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#coding=utf-8\\n\\nimport threading\\nimport urllib\\nimport re\\nimport time\\n\\ng_mutex = threading.Condition()\\ng_pages=[]#从中解析所有url连接\\ng_queueURL=[]#等待爬取的url链接列表\\ng_existURL=[]#已经爬取过得url连接列表\\ng_failedURL=[]#下载失败的url连接列表\\ng_totalcount=0#下载过得页面数\\n\\nclass CrawlerThread(threading.Thread):\\n\\tdef __init__(self,url,filename,tid):\\n\\t\\tthreading.Thread.__init__(self)\\n\\t\\tself.url = url\\n\\t\\tself.filename = filename\\n\\t\\tself.tid = tid\\n\\t\\n\\tdef run(self):\\n\\t\\tglobal g_mutex\\n\\t\\tglobal g_failedURL\\n\\t\\tglobal g_queueURL\\n\\t\\ttry:\\n\\t\\t\\tpage=urllib.urlopen(self.url)\\n\\t\\t\\thtml = page.read()\\n\\t\\t\\tfout = file(self.filename,'w')\\n\\t\\t\\tfout.write(html)\\n\\t\\t\\tfout.close()\\n\\t\\texcept Exception,e:\\n\\t\\t\\tg_mutex.acquire()\\n\\t\\t\\tg_existURL.append(self.url)\\n\\t\\t\\tg_failedURL.append(self.url)\\n\\t\\t\\tg_mutex.release()\\n\\t\\t\\tprint 'Failed downloading and saving',self,url\\n\\t\\t\\tprint e\\n\\t\\t\\treturn None\\n\\n\\t\\tg_mutex.acquire()\\n\\t\\tg_pages.append(html)\\n\\t\\tg_existURL.append(self.url)\\n\\t\\tg_mutex.release()\\n\\nclass Crawler:\\n\\tdef __init__(self,crawlername,url,threadnum):\\n\\t\\tself.crawlername = crawlername\\n\\t\\tself.url = url \\n\\t\\tself.threadnum = threadnum\\n\\t\\tself.threadpool=[]\\n\\t\\tself.logfile = file(\\\"log.txt\\\",'w')\\n\\t\\n\\tdef getUrl(self,content):\\n\\t\\treg=r'\\\"(http://.+?)\\\"'\\n\\t\\tregob = re.compile(reg,re.DOTALL)\\n\\t\\turllist = regob.findall(content)\\n\\t\\treturn urllist\\n\\n\\tdef updateQueueURL(self):\\n\\t\\tglobal g_queueURL\\n\\t\\tglobal g_existURL\\n\\t\\tnewUrlList = []\\n\\t\\tfor content in g_pages:\\n\\t\\t\\tnewUrlList += self.getUrl(content)\\n\\t\\tg_queueURL = list(set(newUrlList)-set(g_existURL))\\n\\n\\tdef download(self,url,filename,tid):\\n\\t\\tcrawthread = CrawlerThread(url,filename,tid)\\n\\t\\tself.threadpool.append(crawthread)\\n\\t\\tcrawthread.start()\\n\\n\\tdef downloadAll(self):\\n\\t\\tglobal g_queueURL\\n\\t\\tglobal g_totalcount\\n\\t\\ti = 0\\n\\t\\twhile i < len(g_queueURL):\\n\\t\\t\\tj = 0\\n\\t\\t\\twhile j < self.threadnum and i+j < len(g_queueURL):\\n\\t\\t\\t\\tg_totalcount += 1\\n\\t\\t\\t\\tthreadresult = self.download(g_queueURL[i+j],str(g_totalcount)+\\\".html\\\",j)\\n\\t\\t\\t\\tif threadresult != None:\\n\\t\\t\\t\\t\\tprint 'Thread started:',i+j,'--File number =',g_totalcount\\n\\t\\t\\t\\tj += 1\\n\\t\\t\\ti += j\\n\\t\\t\\tfor thread in self.threadpool:\\n\\t\\t\\t\\tthread.join(30)\\n\\t\\t\\t\\n\\t\\t\\tthreadpool = []\\n\\t\\tg_queueURL = []\\n\\t\\n\\tdef craw(self):\\n\\t\\tglobal g_queueURL\\n\\t\\tg_queueURL.append(url)\\n\\t\\tdepth = 0\\n\\t\\tprint self.crawlername+\\\" starting...\\\"\\n\\n\\t\\twhile len(g_queueURL)!= 0:\\n\\t\\t\\tdepth += 1\\n\\t\\t\\tprint 'Searching depth ',depth,'...\\\\n\\\\n'\\n\\t\\t\\tself.logfile.write(\\\"URL:\\\"+g_queueURL[0]+\\\".........\\\")\\n\\t\\t\\tself.downloadAll()\\n\\t\\t\\tself.updateQueueURL()\\n\\t\\t\\tcontent = '\\\\n>>>Depth '+str(depth)+':\\\\n'\\n\\t\\t\\tself.logfile.write(content)\\n\\t\\t\\ti = 0\\n\\t\\t\\twhile i < len(g_queueURL):\\n\\t\\t\\t\\tcontent = str(g_totalcount+i)+'->'+g_queueURL[i]+'\\\\n'\\n\\t\\t\\t\\tself.logfile.write(content)\\n\\t\\t\\t\\ti += 1\\n\\nif __name__ == \\\"__main__\\\":\\n\\turl = raw_input(\\\"please input url:\\\")\\n\\tthreadnum = int(raw_input(\\\"set thread number:\\\"))\\n\\tcrawlername = \\\"crawler\\\"\\n\\tcrawler = Crawler(crawlername,url,threadnum)\\n\\tcrawler.craw()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2984188,"cells":{"repo_name":{"kind":"string","value":"erlinvan/oving6"},"repo_url":{"kind":"string","value":"https://github.com/erlinvan/oving6"},"snapshot_id":{"kind":"string","value":"9c58133340b578419561fd1cff9452711ca4ccea"},"revision_id":{"kind":"string","value":"de2efa81083aed7d1b0aadaefe83370e95e8051a"},"directory_id":{"kind":"string","value":"202caa4e5aba0059306c41eded30ee9a5f193773"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-04-03T22:24:56.497538","string":"2020-04-03T22:24:56.497538"},"revision_date":{"kind":"timestamp","value":"2018-11-13T14:04:34","string":"2018-11-13T14:04:34"},"committer_date":{"kind":"timestamp","value":"2018-11-13T14:04:34","string":"2018-11-13T14:04:34"},"github_id":{"kind":"number","value":155599653,"string":"155,599,653"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6265690326690674,"alphanum_fraction":0.6276150345802307,"avg_line_length":35.769229888916016,"blob_id":"c20627bc3a5448766d8bec2007bea0c999efc3d6","content_id":"8e09df28c797daf22905bf2577f7fbaf5276f1e2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":956,"license_type":"no_license","max_line_length":73,"num_lines":26,"path":"/arbitrator.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"class Arbitrator:\n\n # Hensikten med denne klassen er aa velge den beste behavioren\n\n def choose_action(self, behaviors):\n winning_behavior = None\n max_weight = -1\n\n for behavior in behaviors:\n\n # Hvis behavioren skal stoppe returnerer vi umiddelbart denne\n if behavior.halt_request:\n print(behavior.name, \" will be recommended\")\n return behavior.motor_recommendations\n\n # Hvis den ikke skal stoppe velger behavior med hoyest weight\n elif behavior.weight > max_weight:\n max_weight = behavior.weight\n winning_behavior = behavior\n\n # Kjorer bare fremover hvis ingen behavior ble funnet,\n if winning_behavior is None:\n print(\"Found no behavior, driving forwards\")\n return [\"f\"]\n print(winning_behavior.name, \" will be recommended\")\n return winning_behavior.motor_recommendations\n"},{"alpha_fraction":0.5772839784622192,"alphanum_fraction":0.5772839784622192,"avg_line_length":27.125,"blob_id":"6be6835a4b0a8c63714127701c36b1323e708760","content_id":"5d6d8eb1cbdc13c7356809e356e7047381c78d48","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2025,"license_type":"no_license","max_line_length":114,"num_lines":72,"path":"/sensob.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"from abc import abstractmethod\n\nfrom reflectance_sensors import *\nfrom ultrasonic import *\nfrom camera import *\n\n\nclass Sensob: # interface mellom en eller flere sensorer i bbcons 'behaviors'\n\n def __init__(self):\n self.sensors = []\n self.value = None\n\n def get_value(self):\n return self.value\n\n @abstractmethod\n def update(self): # tvinger sensorer til aa faa verdier en gang per iterasjon\n return\n\n def reset(self):\n for sensor in self.sensors:\n sensor.reset()\n\n\nclass ReflectanceSensob(Sensob):\n\n def __init__(self):\n super(ReflectanceSensob, self).__init__()\n self.sensor = ReflectanceSensors()\n self.sensors.append(self.sensor)\n\n def update(self): # returnerer list of values, [left, midleft, midright, right]\n self.sensor.update()\n self.value = self.sensor.get_value()\n return self.value\n\n def get_value(self): # returnerer list of values, [left, midleft, midright, right]\n return self.value\n\n\nclass UltrasonicSensob(Sensob):\n\n def __init__(self):\n super(UltrasonicSensob, self).__init__()\n self.sensor = Ultrasonic()\n self.sensors.append(self.sensor)\n # print(\"US-sensob created.\")\n\n def update(self):\n self.sensor.update()\n self.value = self.sensor.get_value()\n return self.value\n\n def get_value(self):\n return self.value # returnerer value som distanse i cm\n\n\nclass CameraSensob(Sensob):\n def __init__(self):\n super(CameraSensob, self).__init__()\n self.sensor = Camera()\n self.sensors.append(self.sensor)\n self.value = None\n\n def update(self):\n self.sensor.update()\n self.value = self.sensor.get_value()\n return self.value\n\n def get_value(self):\n return self.value # returnerer value som en RGB-array\n"},{"alpha_fraction":0.6451612710952759,"alphanum_fraction":0.8064516186714172,"avg_line_length":14.5,"blob_id":"7628753304b14369456f1619cedd07a02a9979b7","content_id":"3694dc57ef9ecc3da8e845f7d754c8350e5eb745","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":31,"license_type":"no_license","max_line_length":18,"num_lines":2,"path":"/README.md","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"# Zumorobot\nProsjekt 6 TDT4113\n"},{"alpha_fraction":0.6262136101722717,"alphanum_fraction":0.6284201145172119,"avg_line_length":32.32352828979492,"blob_id":"386e67f89f8928016b00a33fac7e6fb8294930d7","content_id":"91f234554db704e62570e0b2f37c218fe354f7e4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2266,"license_type":"no_license","max_line_length":94,"num_lines":68,"path":"/bbcon.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"from arbitrator import Arbitrator\nfrom time import sleep\nfrom motob import Motob\nfrom behavior import Photo\n\nclass Bbcon:\n\n def __init__(self):\n self.behaviors = [] #Liste over alle behaviors, aktive og inaktive\n self.active_behaviors = [] # Kun aktive behaviors\n self.sensobs = [] # Liste over sensorer\n self.motobs = Motob(self) # Liste med motorobjekter\n self.arbitrator = Arbitrator() # Arbitrator-objektet, velger winning behavior\n self.num_timesteps = 0 # Hvor mange timesteps som er kjort\n self.can_take_photo = False\n\n\n #Trivielt, legger til behavior i listen\n def add_behavior(self, behavior):\n if behavior not in self.behaviors:\n self.behaviors.append(behavior)\n\n # Trivielt, legger til sensor-objekt i listen\n def add_sensor(self, sensor):\n if sensor not in self.sensobs:\n self.sensobs.append(sensor)\n\n # Legger til behavior i listen over active-behaviors\n def activate_behavior(self, behavior):\n if behavior in self.behaviors:\n self.active_behaviors.append(behavior)\n\n # Fjerner aktive behaviors fra active-behaviors listen\n def deactivate_behavior(self, behavior):\n if behavior in self.active_behaviors:\n self.active_behaviors.remove(behavior)\n\n # Resetter dersom bilde allerede er tatt\n def photo_taken(self):\n self.can_take_photo = False\n self.motobs.photograph = False\n\n # loopen til klassen\n def run_one_timestep(self):\n # Oppdaterer behaviors\n for behaviour in self.behaviors:\n behaviour.update()\n\n # Henter ut motor-recommendations\n print(\"Active behaviors\", self.active_behaviors)\n motor_recoms = self.arbitrator.choose_action(self.active_behaviors)\n\n # Oppdaterer motobs\n self.motobs.update(motor_recoms)\n\n if self.motobs.photograph:\n self.can_take_photo = True\n\n # vent slik at motorene kan gjore tingen sin\n sleep(0.25)\n\n # Reset sensorverdiene\n for sensor in self.sensobs:\n sensor.reset()\n\n self.active_behaviors=[]\n\n self.num_timesteps += 1\n"},{"alpha_fraction":0.6575342416763306,"alphanum_fraction":0.6575342416763306,"avg_line_length":18.04347801208496,"blob_id":"e0f045391898475b44001890d9bf6cef46433c85","content_id":"ffdd46f81fc61b13d0a9c465ff05ed8537b2a09f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":438,"license_type":"no_license","max_line_length":36,"num_lines":23,"path":"/main.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"from bbcon import Bbcon\nfrom behavior import *\nfrom zumo_button import ZumoButton\n\ndef main():\n\n bbcon = Bbcon()\n lineRider = FollowLine(bbcon)\n obstruction = Obstruction(bbcon)\n photo = Photo(bbcon)\n\n bbcon.add_behavior(lineRider)\n bbcon.add_behavior(obstruction)\n bbcon.add_behavior(photo)\n\n ZumoButton().wait_for_press()\n\n while True:\n bbcon.run_one_timestep()\n\n\nif __name__ == \"__main__\":\n main()\n"},{"alpha_fraction":0.5236160755157471,"alphanum_fraction":0.5525647401809692,"avg_line_length":32.37288284301758,"blob_id":"19a7a2d3656a87f6e2a1c7bd39a05462db82f75b","content_id":"3c4a00b4b140d112bc6437f885d249367a241991","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1969,"license_type":"no_license","max_line_length":120,"num_lines":59,"path":"/motob.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"from motors import Motors\nfrom sensob import CameraSensob\nfrom time import sleep\n\n\nclass Motob:\n\n def __init__(self, bbcon):\n self.bbcon = bbcon\n self.values = []\n self.motor = Motors()\n self.photograph = False\n self.camera=CameraSensob()\n\n def update(self, motor_recommendation):\n # Mottar en anbefaling fra bbcon og behaviors\n\n self.values = motor_recommendation\n self.operationlize()\n\n def operationlize(self):\n # Henter ut forste verdi fra anbefalinger, antall grader gis som andre vektor i self.values dersom anbefaling er\n # 'l' eller 'r'\n\n value=self.values[0]\n print(\"Motor Recommendation = \", value)\n if value == \"f\":\n print(\"Forward\")\n self.motor.set_value([0.5, 0.5],0.15)\n elif value == \"l\":\n print(\"Left\")\n self.motor.set_value([-1,1], self.turn_n_degrees(self.values[1]))\n elif value == \"r\":\n print(\"Right\")\n self.motor.set_value([1,-1], self.turn_n_degrees(self.values[1]))\n elif value == 'fl':\n print('Left and forward')\n self.motor.set_value([0.05, 0.35],0.15)\n elif value == 'fr':\n print('Right and forward')\n self.motor.set_value([0.35, 0.05],0.15)\n elif value == 't':\n self.motor.set_value([-0.5, 0.5], 0.25)\n self.motor.set_value([0.5, -0.5], 0.25)\n print(\"Found red!\")\n self.motor.set_value([-1, 1], self.turn_n_degrees(180))\n self.bbcon.photo_taken()\n elif value == \"s\":\n print(\"Stop\")\n self.motor.stop()\n self.photograph = True\n sleep(1)\n elif value == 'p':\n self.camera.update()\n\n @staticmethod\n def turn_n_degrees(deg):\n # Returnerer antall sekunder motorene maa kjores paa full speed, henholdsvis frem og bak for aa tilsvare grader\n return 0.0028 * deg\n"},{"alpha_fraction":0.5473974943161011,"alphanum_fraction":0.5584472417831421,"avg_line_length":28.51931381225586,"blob_id":"2a9cb87befc2f18e8cca1ab3b48ecb39aa66b8d8","content_id":"d621017fdfdc072c827c8c009b75c0c9729d3ed4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6878,"license_type":"no_license","max_line_length":123,"num_lines":233,"path":"/behavior.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"from abc import *\nfrom sensob import *\nfrom imager2 import Imager\n\n\nclass Behavior:\n\n def __init__(self, bbcon):\n\n self.bbcon = bbcon # Selve BBCON-kontrolleren hvor bevarior brukes\n self.sensobs = [] # Sensobs som bruker\n self.motor_recommendations = [\"none\"] # Motor-recommendation som skal sendes til Arbitrator\n self.active_flag = False # er behavior aktiv?\n self.halt_request = False # sender melding om at behavior skal stoppe.\n self.priority = 0 # Prioriteten til behavior\n self.match_degree = 0 # Enten 0 eller 1. Brukes i samsvar med weight og priority.\n self.weight = self.match_degree * self.priority # vektingen til behavioren naar den benyttes av Arbitrator.\n self.name = \"\"\n\n # Tester om behavioren skal deaktiveres\n def consider_deactivation(self):\n pass\n\n # Tester om behavioren skal aktiveres\n def consider_activation(self):\n pass\n\n # Funksjon som kjores for aa oppdatere behavior\n def update(self):\n pass\n\n def sense_and_act(self):\n pass\n\n\n# Stopper roboten hvis sensoren oppdager et objekt\nclass Obstruction(Behavior):\n\n def __init__(self, bbcon):\n super(Obstruction,self).__init__(bbcon)\n self.name = \"Obstruction\"\n self.u_sensob = UltrasonicSensob()\n self.sensobs.append(self.u_sensob)\n\n # Aktiver behavior hvis sensoren ser noe naermere enn 10 centimeter\n def consider_activation(self):\n val=self.u_sensob.get_value()\n print(val)\n if val < 10:\n self.bbcon.activate_behavior(self)\n self.active_flag = True\n self.halt_request = True\n\n # Deaktiver behavior hvis sensoren IKKE ser noe naermere enn 10 centimeter\n def consider_deactivation(self):\n val = self.u_sensob.get_value()\n print(val)\n if val > 10:\n self.bbcon.deactivate_behavior(self)\n self.active_flag = False\n self.halt_request = False\n\n def update(self):\n\n for sensor in self.sensobs:\n sensor.update()\n\n if self.active_flag:\n self.consider_deactivation()\n else:\n self.consider_activation()\n\n # set vekting = 0 hvis ikke aktiv\n if not self.active_flag:\n self.weight = 0\n return\n\n self.sense_and_act()\n self.weight = self.priority * self.match_degree\n\n def sense_and_act(self):\n self.motor_recommendations = [\"s\"]\n self.priority = 1\n self.match_degree = 1\n\n\n# Kjorer fremover\nclass DriveForward(Behavior):\n\n def __init__(self, bbcon):\n super(DriveForward, self).__init__(bbcon)\n self.name = \"DriveForward\"\n self.active_flag = True\n self.r_sensob = ReflectanceSensob()\n self.sensobs.append(self.r_sensob)\n self.treshold = 0.5\n\n def consider_activation(self):\n if self.active_flag:\n self.bbcon.activate_behavior(self)\n\n def consider_deactivation(self):\n return\n\n def update(self):\n self.r_sensob.update()\n self.consider_activation()\n self.sense_and_act()\n self.weight = self.priority * self.match_degree\n\n def sense_and_act(self):\n self.motor_recommendations = [\"s\"]\n self.priority = 0.5\n self.match_degree = 0.5\n\n\nclass FollowLine(Behavior):\n\n def __init__(self, bbcon):\n super(FollowLine, self).__init__(bbcon)\n self.name = \"FollowLine\"\n self.r_sensob = ReflectanceSensob()\n self.sensobs.append(self.r_sensob)\n self.treshold = 0.3\n\n def consider_activation(self):\n\n for value in self.r_sensob.update():\n if value < self.treshold:\n self.bbcon.activate_behavior(self)\n self.active_flag = True\n return\n\n # Deaktiverer behavior\n self.weight = 0\n self.bbcon.deactivate_behavior(self)\n self.active_flag = False\n\n def consider_deactivation(self):\n self.consider_activation()\n\n def update(self):\n\n self.consider_activation()\n self.sense_and_act()\n self.weight = self.priority * self.match_degree\n\n def sense_and_act(self):\n\n self.r_sensob.update()\n\n if self.r_sensob.get_value()[0] < self.treshold:\n self.motor_recommendations = [\"l\",30]\n self.match_degree = 0.8\n\n elif self.r_sensob.get_value()[5] < self.treshold:\n self.motor_recommendations = [\"r\",30]\n self.match_degree = 0.8\n\n elif self.r_sensob.get_value()[1] < self.treshold:\n self.motor_recommendations = [\"l\", 15]\n self.match_degree = 0.8\n\n elif self.r_sensob.get_value()[4] < self.treshold:\n self.motor_recommendations = [\"r\",15]\n self.match_degree = 0.8\n\n else:\n self.motor_recommendations = [\"f\"]\n self.match_degree = 0.5\n\n self.priority = 0.5\n\n\nclass Photo(Behavior):\n def __init__(self, bbcon):\n super(Photo, self).__init__(bbcon)\n self.name = \"Photo\"\n self.c_sensob = CameraSensob()\n self.sensobs.append(self.c_sensob)\n\n def consider_activation(self):\n\n if self.bbcon.can_take_photo:\n self.bbcon.activate_behavior(self)\n self.halt_request = True\n self.active_flag = True\n\n def consider_deactivation(self):\n\n if not self.bbcon.can_take_photo:\n self.bbcon.deactivate_behavior(self)\n self.halt_request = False\n self.active_flag = False\n\n def update(self):\n\n if self.active_flag:\n self.consider_deactivation()\n else:\n self.consider_activation()\n\n self.sense_and_act()\n self.weight = self.priority * self.match_degree\n\n def sense_and_act(self):\n\n if self.bbcon.can_take_photo:\n print(\"Taking photo!\")\n image_obj = self.c_sensob.update()\n img = Imager(image=image_obj)\n img.dump_image('/')\n\n self.match_degree = 0.9\n\n triple2 = [0] * 3\n for x in range(img.xmax):\n for y in range(img.ymax):\n t = img.get_pixel(x, y)\n for i in range(len(triple2)):\n triple2[i] += t[i]\n\n print(\"RGB\", triple2)\n print(triple2[0] > triple2[1] and triple2[0] > triple2[2])\n\n if triple2[0] > triple2[1] and triple2[0] > triple2[2]:\n self.motor_recommendations = ['t']\n\n else:\n self.motor_recommendations = ['f']\n self.bbcon.photo_taken()\n\n self.priority = 0.9\n"},{"alpha_fraction":0.5449235439300537,"alphanum_fraction":0.5586668848991394,"avg_line_length":25.70183563232422,"blob_id":"979224da989e5ec6e5d8dcac5567b2a7b507d69c","content_id":"f85f583dd935e50a071642757c4b06304fbf19ed","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11642,"license_type":"no_license","max_line_length":148,"num_lines":436,"path":"/j/Bbconcop.py","repo_name":"erlinvan/oving6","src_encoding":"UTF-8","text":"import random\nfrom camera import *\nfrom imager2 import *\nfrom motors import *\nfrom irproximity_sensor import *\nfrom reflectance_sensors import *\nfrom ultrasonic import *\nfrom zumo_button import *\nfrom time import sleep\n\nclass BBCON:\n\n def __init__(self):\n self.behaviors = [] #liste med alle behaviors\n self.active_behav = [] #list of active behaviors\n #self.inactive_behaviors = []\n self.sensobs = [] #liste med sensor objekter\n self.motobs = [] #liste med motor objekter\n self.arbitrator = Arbitrator(self, False)\n self.current_timestep = 0\n self.active_camera = False\n\n self.add_behavior(Approach(self))\n self.add_behavior(camera_behavior(self))\n self.add_behavior(IR_behavior(self))\n\n for behavior in self.behaviors:\n for sensob in behavior.sensobs:\n if sensob not in self.sensobs:\n self.add_sensob(sensob)\n\n self.motobs = [Motob()]\n\n def add_behavior(self,behavior):\n self.behaviors.append(behavior)\n\n def add_sensob(self, sensob):\n self.sensobs.append(sensob)\n\n def activate_behavior(self, behavior): #legger til behavior i active listen\n if behavior not in self.active_behav:\n self.active_behav.append(behavior)\n\n def deactivate_behavior(self, behavior): #fjerner behavior fra inactive listen\n if behavior in self.active_behav:\n self.active_behav.remove(behavior)\n\n\n def run_one_timestep(self):\n for i in range(len(self.sensobs)):\n self.sensobs[i].update()\n for j in range(len(self.behaviors)):\n self.behaviors[j].update()\n self.motobs[0].update(self.arbitrator.choose_action().motor_rec)\n sleep(0.4)\n for sensob in self.sensobs:\n sensob.reset()\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nclass Arbitrator:\n\n def __init__(self, bbcon, stochastic):\n self.bbcon = bbcon #skulle ha pointer til bbcon\n self.stochastic = stochastic #boolean som velger om vi velger hoyest vekt eller random\n\n def choose_action(self):\n if self.stochastic:\n return self.stochastic()\n else:\n return self.highest_weight()\n\n def highest_weight(self):\n\n highest = self.bbcon.active_behav[0].weight\n vinner = self.bbcon.active_behav[0]\n for behavior in self.bbcon.active_behav:\n if behavior.weight > highest:\n highest = behavior.weight\n vinner = behavior\n return vinner\n\n def stochastic(self):\n\n sum = 0\n behaviors = {}\n\n #lager liste men intervaller. intervallene til hver behavior er like stpr som vekten, saann at sannsynligheten skal gjenspeiles i dette\n #[0, 0.5], [0.5, 1.3], [1.3, 2]\n for behavior in self.bbcon.active_behav:\n behaviors[behavior] = [sum, sum + behavior.weight]\n sum += behavior.weight\n\n rand_num = random.uniform(0, sum) #finner random tall\n vinner = None\n #har naa en dictionary med behavior og et tilsvaende intervall, saa henter ut hoyeste verdien i intervallet (value[1]) og sjekker opp mot random\n for behavior, interval in behaviors.items():\n if interval[1] < rand_num:\n vinner = behavior\n return vinner\n\n\n\n\nclass Sensob:\n\n def __init__(self):\n self.sensors = []\n self.value = None\n\n def update(self): #skal oppdateres en gang hver timestep. Tror det gjores i en annen klasse\n return\n\n def get_value(self):\n return self.value\n\n def reset(self):\n for sensor in self.sensors:\n sensor.reset()\n\n\n\n\n\nclass IR(Sensob):\n\n def __init__(self):\n self.sensors = [IRProximitySensor()]\n self.value = None\n\n def update(self):\n self.sensors[0].update()\n self.value = self.sensors[0].get_value()\n\n\n def get_value(self):\n #True betyr at noe er naert\n return self.value\n\n def reset(self):\n self.sensors[0].reset()\n\n\n\n\nclass LookAhead(Sensob):\n def __init__(self):\n self.sensors = [Ultrasonic()]\n\n def update(self):\n self.sensors[0].update()\n self.value = self.sensors[0].get_value()\n\n\n def get_value(self): #trenger jeg aa lage denne naar den arver?\n return self.value\n\n def reset(self):\n self.sensors[0].reset()\n\n\n\n\n\n\n\n\nclass CameraSensob(Sensob):\n\n def __init__(self, threshold=0.4, CR=(0.5, 0.25, 0, 0.25)):\n self.threshold = threshold #tillatter saasaa mye slingringsmonn\n self.CR = CR # cutratio, hvor mye av bilde som skal kuttes for analyseringa\n self.sensors = [Camera()]\n self.value = []\n\n\n def update(self): #tar bilde med Camera og analyserer fargeverdiene.\n image = self.sensors[0].update() #henter fra Camera\n width, height = image.size\n\n def wta(p): #get largest pixel, p er en RGB tuppel\n #x = max(p) #henter ut hvilken som har hoyest verdi\n liste = list(p) #gjor den om til en liste\n #print(liste)\n index = liste.index(max(p))\n rgb = [0,0,0]\n #Setter den korrekte til max og de andre til 0\n rgb[index] = 255\n return tuple(rgb) #maa vaere en tuppel, ikke en liste\n\n\n for h in range(height):\n for w in range(width):\n p = image.getpixel((w,h))\n pwta = wta(p)\n image.putpixel((w,h), pwta)\n #teller hvor mange vi har av hver farge\n color_count = [0, 0, 0]\n for h in range(height):\n for w in range(width):\n pixel = list(image.getpixel((w,h)))\n color_count[pixel.index(255)] +=1 #legger til 1 paa der det er 255 i pixel\n #maa endre det til hvor mye av det totale bildet det er\n of_total = [0.0, 0.0, 0.0]\n for i in range(len(color_count)):\n total = width*height\n of_total[i] = color_count[i]/total\n self.value = of_total\n\n\n def get_value(self):\n return self.value\n\n def reset(self):\n self.sensors[0].reset()\n\n\n\n\n\n\n\n\n\n\n\n\n\nclass Behavior:\n\n # priority = static predefined value\n\n def __init__(self, bbcon):\n self.bbcon = bbcon #pointer to controller that uses this behaviour\n self.sensobs = [] #list of sensobs this behavour uses\n self.motor_rec = []\n self.active_flag = False\n self.halt_request = False\n self.priority = 1.0\n self.match_degree = 0 #et tall som sier noen om hvor mye de naavaerende tilstandene garanterer behavioren\n self.weight = self.priority * self.match_degree\n\n def consider_deactivation(self):\n pass\n\n def consider_activation(self):\n pass\n\n def update(self):\n if self.active_flag:\n self.consider_deactivation()\n else:\n self.consider_activation()\n self.sense_and_act()\n self.update_weight()\n\n def sense_and_act(self): #calculate\n pass\n\n def update_weight(self):\n self.weight=self.priority * self.match_degree\n\n\n\nclass Approach(Behavior): #UV-behaviour\n def __init__(self, bbcon):\n super().__init__(bbcon)\n self.sensobs.append(LookAhead()) #UV\n self.active_flag=True\n self.bbcon.active_behav.append(self)\n\n\n def sense_and_act(self):\n\n distance=self.sensobs[0].get_value() #hvorfor to linjer?\n if distance >= 10:\n self.bbcon.active_camera = True\n self.match_degree=0.6\n self.motor_rec = [(\"F\", 0.4, 0.6)]\n self.update_weight()\n print(\"kjor\")\n else:\n self.bbcon.active_camera = False\n self.match_degree = 0.3\n self.motor_rec = [(\"S\", 0, 0)]\n self.update_weight()\n print(\"stopp\")\n\nclass camera_behavior(Behavior):\n\n def __init__(self, bbcon):\n super().__init__(bbcon)\n self.active_flag=True\n self.bbcon.active_behav.append(self)\n self.sensobs.append(CameraSensob())\n\n def concider_deactivation(self):\n if (self.bbcon.active_camera):\n self.active_flag=True\n else:\n self.active_flag=False\n index=self.bbcon.active_behav.index(self)\n self.bbcon.active_behav.pop(index)\n\n def consider_activation(self):\n if self.bbcon.active_camera:\n self.active_flag=True\n if self not in self.bbcon.active_behav:#trengs denne og neste linje\n self.bbcon.active_behav.append(self)\n else:\n self.active_flag=False\n\n def sense_and_act(self):\n if self.active_flag:\n self.concider_deactivation()\n else:\n self.consider_activation()\n\n if self.active_flag:\n piece=self.sensobs[0].get_value()\n index = piece.index(max(piece))\n if index==0: #red\n #print(\"ROD\")\n #self.forward()\n self.match_degree = 0.5\n self.update_weight()\n elif index == 1: # green\n print(\"GRONN\")\n # self.motor_rec = [('R', 0.2, 1.0)]\n self.pull_back\n self.match_degree = 1.0\n self.update_weight()\n else: # blue\n print(\"BLA\")\n # self.motor_rec = [('L', 0.5, 1.0)]\n #self.turn\n self.match_degree = 1.0\n self.update_weight()\n else:\n self.motor_rec = [('B', 0.2, 0.5)]\n self.match_degree = 0.1\n self.update_weight()\n\n def forward(self):\n self.motor_rec = [(\"F\", 0.7,1.0)]\n\n def pull_back(self):\n self.motor_rec = [('B', 0.2, 1.0)]\n\n def turn(self):\n self.motor_rec = [('R', 0.5, 1.0), ('F', 0.2, 1.0)]\n\n\n\n\n\n\nclass IR_behavior(Behavior):\n\n def __init__(self, bbcon):\n super().__init__(bbcon)\n self.sensobs.append(IR())\n self.active_flag=True\n self.bbcon.active_behav.append(self)\n\n def sense_and_act(self):\n val = self.sensobs[0].get_value()\n if val[0] == True:\n self.motor_rec = [('R', 0.5, 1.5)]\n self.match_degree = 1\n elif val[1] == True:\n self.motor_rec = [('L', 0.5, 1.5)]\n self.match_degree = 1\n else:\n self.motor_rec = [('S', 0.25, 1)]\n self.match_degree = 0\n\n\n\n\n\nclass Motob:\n def __init__(self):\n self.motors = [Motors()]\n self.value = None\n\n def update(self, vals):\n self.value = vals\n self.operationalize()\n\n def operationalize(self):# convert motor reccomantation into one or more motor settings\n for i in range (len(self.value)):\n if (self.value[i][0] == \"F\" or self.value[i][0] == \"f\"):\n self.motors[0].forward(self.value[i][1], self.value[i][2])\n elif (self.value[i][0] == \"B\" or self.value[i][0]==\"b\"):\n self.motors[0].backward(self.value[i][1], self.value[i][2])\n elif (self.value[i][0] == \"R\" or self.value[i][0] == \"r\"):\n self.motors[0].right(self.value[i][1], self.value[i][2])\n elif (self.value[i][0] == \"L\" or self.value[i][0]==\"l\"):\n self.motors[0].left(self.value[i][1], self.value[i][2])\n elif (self.value[i][0]==\"S\" or self.value[i][0]==\"s\"):\n self.motors[0].stop()\n else:\n print(\"Something wrong\")\n\n\n\n\n\n\n\n\n\ndef main():\n bbcon = BBCON()\n x = False\n ZumoButton().wait_for_press()\n while x == False:\n bbcon.run_one_timestep()\n\n\nif __name__ == '__main__':\n main()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6265690326690674,\n \"alphanum_fraction\": 0.6276150345802307,\n \"avg_line_length\": 35.769229888916016,\n \"blob_id\": \"c20627bc3a5448766d8bec2007bea0c999efc3d6\",\n \"content_id\": \"8e09df28c797daf22905bf2577f7fbaf5276f1e2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 956,\n \"license_type\": \"no_license\",\n \"max_line_length\": 73,\n \"num_lines\": 26,\n \"path\": \"/arbitrator.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"class Arbitrator:\\n\\n # Hensikten med denne klassen er aa velge den beste behavioren\\n\\n def choose_action(self, behaviors):\\n winning_behavior = None\\n max_weight = -1\\n\\n for behavior in behaviors:\\n\\n # Hvis behavioren skal stoppe returnerer vi umiddelbart denne\\n if behavior.halt_request:\\n print(behavior.name, \\\" will be recommended\\\")\\n return behavior.motor_recommendations\\n\\n # Hvis den ikke skal stoppe velger behavior med hoyest weight\\n elif behavior.weight > max_weight:\\n max_weight = behavior.weight\\n winning_behavior = behavior\\n\\n # Kjorer bare fremover hvis ingen behavior ble funnet,\\n if winning_behavior is None:\\n print(\\\"Found no behavior, driving forwards\\\")\\n return [\\\"f\\\"]\\n print(winning_behavior.name, \\\" will be recommended\\\")\\n return winning_behavior.motor_recommendations\\n\"\n },\n {\n \"alpha_fraction\": 0.5772839784622192,\n \"alphanum_fraction\": 0.5772839784622192,\n \"avg_line_length\": 27.125,\n \"blob_id\": \"6be6835a4b0a8c63714127701c36b1323e708760\",\n \"content_id\": \"5d6d8eb1cbdc13c7356809e356e7047381c78d48\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2025,\n \"license_type\": \"no_license\",\n \"max_line_length\": 114,\n \"num_lines\": 72,\n \"path\": \"/sensob.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from abc import abstractmethod\\n\\nfrom reflectance_sensors import *\\nfrom ultrasonic import *\\nfrom camera import *\\n\\n\\nclass Sensob: # interface mellom en eller flere sensorer i bbcons 'behaviors'\\n\\n def __init__(self):\\n self.sensors = []\\n self.value = None\\n\\n def get_value(self):\\n return self.value\\n\\n @abstractmethod\\n def update(self): # tvinger sensorer til aa faa verdier en gang per iterasjon\\n return\\n\\n def reset(self):\\n for sensor in self.sensors:\\n sensor.reset()\\n\\n\\nclass ReflectanceSensob(Sensob):\\n\\n def __init__(self):\\n super(ReflectanceSensob, self).__init__()\\n self.sensor = ReflectanceSensors()\\n self.sensors.append(self.sensor)\\n\\n def update(self): # returnerer list of values, [left, midleft, midright, right]\\n self.sensor.update()\\n self.value = self.sensor.get_value()\\n return self.value\\n\\n def get_value(self): # returnerer list of values, [left, midleft, midright, right]\\n return self.value\\n\\n\\nclass UltrasonicSensob(Sensob):\\n\\n def __init__(self):\\n super(UltrasonicSensob, self).__init__()\\n self.sensor = Ultrasonic()\\n self.sensors.append(self.sensor)\\n # print(\\\"US-sensob created.\\\")\\n\\n def update(self):\\n self.sensor.update()\\n self.value = self.sensor.get_value()\\n return self.value\\n\\n def get_value(self):\\n return self.value # returnerer value som distanse i cm\\n\\n\\nclass CameraSensob(Sensob):\\n def __init__(self):\\n super(CameraSensob, self).__init__()\\n self.sensor = Camera()\\n self.sensors.append(self.sensor)\\n self.value = None\\n\\n def update(self):\\n self.sensor.update()\\n self.value = self.sensor.get_value()\\n return self.value\\n\\n def get_value(self):\\n return self.value # returnerer value som en RGB-array\\n\"\n },\n {\n \"alpha_fraction\": 0.6451612710952759,\n \"alphanum_fraction\": 0.8064516186714172,\n \"avg_line_length\": 14.5,\n \"blob_id\": \"7628753304b14369456f1619cedd07a02a9979b7\",\n \"content_id\": \"3694dc57ef9ecc3da8e845f7d754c8350e5eb745\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 31,\n \"license_type\": \"no_license\",\n \"max_line_length\": 18,\n \"num_lines\": 2,\n \"path\": \"/README.md\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Zumorobot\\nProsjekt 6 TDT4113\\n\"\n },\n {\n \"alpha_fraction\": 0.6262136101722717,\n \"alphanum_fraction\": 0.6284201145172119,\n \"avg_line_length\": 32.32352828979492,\n \"blob_id\": \"386e67f89f8928016b00a33fac7e6fb8294930d7\",\n \"content_id\": \"91f234554db704e62570e0b2f37c218fe354f7e4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2266,\n \"license_type\": \"no_license\",\n \"max_line_length\": 94,\n \"num_lines\": 68,\n \"path\": \"/bbcon.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from arbitrator import Arbitrator\\nfrom time import sleep\\nfrom motob import Motob\\nfrom behavior import Photo\\n\\nclass Bbcon:\\n\\n def __init__(self):\\n self.behaviors = [] #Liste over alle behaviors, aktive og inaktive\\n self.active_behaviors = [] # Kun aktive behaviors\\n self.sensobs = [] # Liste over sensorer\\n self.motobs = Motob(self) # Liste med motorobjekter\\n self.arbitrator = Arbitrator() # Arbitrator-objektet, velger winning behavior\\n self.num_timesteps = 0 # Hvor mange timesteps som er kjort\\n self.can_take_photo = False\\n\\n\\n #Trivielt, legger til behavior i listen\\n def add_behavior(self, behavior):\\n if behavior not in self.behaviors:\\n self.behaviors.append(behavior)\\n\\n # Trivielt, legger til sensor-objekt i listen\\n def add_sensor(self, sensor):\\n if sensor not in self.sensobs:\\n self.sensobs.append(sensor)\\n\\n # Legger til behavior i listen over active-behaviors\\n def activate_behavior(self, behavior):\\n if behavior in self.behaviors:\\n self.active_behaviors.append(behavior)\\n\\n # Fjerner aktive behaviors fra active-behaviors listen\\n def deactivate_behavior(self, behavior):\\n if behavior in self.active_behaviors:\\n self.active_behaviors.remove(behavior)\\n\\n # Resetter dersom bilde allerede er tatt\\n def photo_taken(self):\\n self.can_take_photo = False\\n self.motobs.photograph = False\\n\\n # loopen til klassen\\n def run_one_timestep(self):\\n # Oppdaterer behaviors\\n for behaviour in self.behaviors:\\n behaviour.update()\\n\\n # Henter ut motor-recommendations\\n print(\\\"Active behaviors\\\", self.active_behaviors)\\n motor_recoms = self.arbitrator.choose_action(self.active_behaviors)\\n\\n # Oppdaterer motobs\\n self.motobs.update(motor_recoms)\\n\\n if self.motobs.photograph:\\n self.can_take_photo = True\\n\\n # vent slik at motorene kan gjore tingen sin\\n sleep(0.25)\\n\\n # Reset sensorverdiene\\n for sensor in self.sensobs:\\n sensor.reset()\\n\\n self.active_behaviors=[]\\n\\n self.num_timesteps += 1\\n\"\n },\n {\n \"alpha_fraction\": 0.6575342416763306,\n \"alphanum_fraction\": 0.6575342416763306,\n \"avg_line_length\": 18.04347801208496,\n \"blob_id\": \"e0f045391898475b44001890d9bf6cef46433c85\",\n \"content_id\": \"ffdd46f81fc61b13d0a9c465ff05ed8537b2a09f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 438,\n \"license_type\": \"no_license\",\n \"max_line_length\": 36,\n \"num_lines\": 23,\n \"path\": \"/main.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from bbcon import Bbcon\\nfrom behavior import *\\nfrom zumo_button import ZumoButton\\n\\ndef main():\\n\\n bbcon = Bbcon()\\n lineRider = FollowLine(bbcon)\\n obstruction = Obstruction(bbcon)\\n photo = Photo(bbcon)\\n\\n bbcon.add_behavior(lineRider)\\n bbcon.add_behavior(obstruction)\\n bbcon.add_behavior(photo)\\n\\n ZumoButton().wait_for_press()\\n\\n while True:\\n bbcon.run_one_timestep()\\n\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5236160755157471,\n \"alphanum_fraction\": 0.5525647401809692,\n \"avg_line_length\": 32.37288284301758,\n \"blob_id\": \"19a7a2d3656a87f6e2a1c7bd39a05462db82f75b\",\n \"content_id\": \"3c4a00b4b140d112bc6437f885d249367a241991\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1969,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 59,\n \"path\": \"/motob.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from motors import Motors\\nfrom sensob import CameraSensob\\nfrom time import sleep\\n\\n\\nclass Motob:\\n\\n def __init__(self, bbcon):\\n self.bbcon = bbcon\\n self.values = []\\n self.motor = Motors()\\n self.photograph = False\\n self.camera=CameraSensob()\\n\\n def update(self, motor_recommendation):\\n # Mottar en anbefaling fra bbcon og behaviors\\n\\n self.values = motor_recommendation\\n self.operationlize()\\n\\n def operationlize(self):\\n # Henter ut forste verdi fra anbefalinger, antall grader gis som andre vektor i self.values dersom anbefaling er\\n # 'l' eller 'r'\\n\\n value=self.values[0]\\n print(\\\"Motor Recommendation = \\\", value)\\n if value == \\\"f\\\":\\n print(\\\"Forward\\\")\\n self.motor.set_value([0.5, 0.5],0.15)\\n elif value == \\\"l\\\":\\n print(\\\"Left\\\")\\n self.motor.set_value([-1,1], self.turn_n_degrees(self.values[1]))\\n elif value == \\\"r\\\":\\n print(\\\"Right\\\")\\n self.motor.set_value([1,-1], self.turn_n_degrees(self.values[1]))\\n elif value == 'fl':\\n print('Left and forward')\\n self.motor.set_value([0.05, 0.35],0.15)\\n elif value == 'fr':\\n print('Right and forward')\\n self.motor.set_value([0.35, 0.05],0.15)\\n elif value == 't':\\n self.motor.set_value([-0.5, 0.5], 0.25)\\n self.motor.set_value([0.5, -0.5], 0.25)\\n print(\\\"Found red!\\\")\\n self.motor.set_value([-1, 1], self.turn_n_degrees(180))\\n self.bbcon.photo_taken()\\n elif value == \\\"s\\\":\\n print(\\\"Stop\\\")\\n self.motor.stop()\\n self.photograph = True\\n sleep(1)\\n elif value == 'p':\\n self.camera.update()\\n\\n @staticmethod\\n def turn_n_degrees(deg):\\n # Returnerer antall sekunder motorene maa kjores paa full speed, henholdsvis frem og bak for aa tilsvare grader\\n return 0.0028 * deg\\n\"\n },\n {\n \"alpha_fraction\": 0.5473974943161011,\n \"alphanum_fraction\": 0.5584472417831421,\n \"avg_line_length\": 28.51931381225586,\n \"blob_id\": \"2a9cb87befc2f18e8cca1ab3b48ecb39aa66b8d8\",\n \"content_id\": \"d621017fdfdc072c827c8c009b75c0c9729d3ed4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6878,\n \"license_type\": \"no_license\",\n \"max_line_length\": 123,\n \"num_lines\": 233,\n \"path\": \"/behavior.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from abc import *\\nfrom sensob import *\\nfrom imager2 import Imager\\n\\n\\nclass Behavior:\\n\\n def __init__(self, bbcon):\\n\\n self.bbcon = bbcon # Selve BBCON-kontrolleren hvor bevarior brukes\\n self.sensobs = [] # Sensobs som bruker\\n self.motor_recommendations = [\\\"none\\\"] # Motor-recommendation som skal sendes til Arbitrator\\n self.active_flag = False # er behavior aktiv?\\n self.halt_request = False # sender melding om at behavior skal stoppe.\\n self.priority = 0 # Prioriteten til behavior\\n self.match_degree = 0 # Enten 0 eller 1. Brukes i samsvar med weight og priority.\\n self.weight = self.match_degree * self.priority # vektingen til behavioren naar den benyttes av Arbitrator.\\n self.name = \\\"\\\"\\n\\n # Tester om behavioren skal deaktiveres\\n def consider_deactivation(self):\\n pass\\n\\n # Tester om behavioren skal aktiveres\\n def consider_activation(self):\\n pass\\n\\n # Funksjon som kjores for aa oppdatere behavior\\n def update(self):\\n pass\\n\\n def sense_and_act(self):\\n pass\\n\\n\\n# Stopper roboten hvis sensoren oppdager et objekt\\nclass Obstruction(Behavior):\\n\\n def __init__(self, bbcon):\\n super(Obstruction,self).__init__(bbcon)\\n self.name = \\\"Obstruction\\\"\\n self.u_sensob = UltrasonicSensob()\\n self.sensobs.append(self.u_sensob)\\n\\n # Aktiver behavior hvis sensoren ser noe naermere enn 10 centimeter\\n def consider_activation(self):\\n val=self.u_sensob.get_value()\\n print(val)\\n if val < 10:\\n self.bbcon.activate_behavior(self)\\n self.active_flag = True\\n self.halt_request = True\\n\\n # Deaktiver behavior hvis sensoren IKKE ser noe naermere enn 10 centimeter\\n def consider_deactivation(self):\\n val = self.u_sensob.get_value()\\n print(val)\\n if val > 10:\\n self.bbcon.deactivate_behavior(self)\\n self.active_flag = False\\n self.halt_request = False\\n\\n def update(self):\\n\\n for sensor in self.sensobs:\\n sensor.update()\\n\\n if self.active_flag:\\n self.consider_deactivation()\\n else:\\n self.consider_activation()\\n\\n # set vekting = 0 hvis ikke aktiv\\n if not self.active_flag:\\n self.weight = 0\\n return\\n\\n self.sense_and_act()\\n self.weight = self.priority * self.match_degree\\n\\n def sense_and_act(self):\\n self.motor_recommendations = [\\\"s\\\"]\\n self.priority = 1\\n self.match_degree = 1\\n\\n\\n# Kjorer fremover\\nclass DriveForward(Behavior):\\n\\n def __init__(self, bbcon):\\n super(DriveForward, self).__init__(bbcon)\\n self.name = \\\"DriveForward\\\"\\n self.active_flag = True\\n self.r_sensob = ReflectanceSensob()\\n self.sensobs.append(self.r_sensob)\\n self.treshold = 0.5\\n\\n def consider_activation(self):\\n if self.active_flag:\\n self.bbcon.activate_behavior(self)\\n\\n def consider_deactivation(self):\\n return\\n\\n def update(self):\\n self.r_sensob.update()\\n self.consider_activation()\\n self.sense_and_act()\\n self.weight = self.priority * self.match_degree\\n\\n def sense_and_act(self):\\n self.motor_recommendations = [\\\"s\\\"]\\n self.priority = 0.5\\n self.match_degree = 0.5\\n\\n\\nclass FollowLine(Behavior):\\n\\n def __init__(self, bbcon):\\n super(FollowLine, self).__init__(bbcon)\\n self.name = \\\"FollowLine\\\"\\n self.r_sensob = ReflectanceSensob()\\n self.sensobs.append(self.r_sensob)\\n self.treshold = 0.3\\n\\n def consider_activation(self):\\n\\n for value in self.r_sensob.update():\\n if value < self.treshold:\\n self.bbcon.activate_behavior(self)\\n self.active_flag = True\\n return\\n\\n # Deaktiverer behavior\\n self.weight = 0\\n self.bbcon.deactivate_behavior(self)\\n self.active_flag = False\\n\\n def consider_deactivation(self):\\n self.consider_activation()\\n\\n def update(self):\\n\\n self.consider_activation()\\n self.sense_and_act()\\n self.weight = self.priority * self.match_degree\\n\\n def sense_and_act(self):\\n\\n self.r_sensob.update()\\n\\n if self.r_sensob.get_value()[0] < self.treshold:\\n self.motor_recommendations = [\\\"l\\\",30]\\n self.match_degree = 0.8\\n\\n elif self.r_sensob.get_value()[5] < self.treshold:\\n self.motor_recommendations = [\\\"r\\\",30]\\n self.match_degree = 0.8\\n\\n elif self.r_sensob.get_value()[1] < self.treshold:\\n self.motor_recommendations = [\\\"l\\\", 15]\\n self.match_degree = 0.8\\n\\n elif self.r_sensob.get_value()[4] < self.treshold:\\n self.motor_recommendations = [\\\"r\\\",15]\\n self.match_degree = 0.8\\n\\n else:\\n self.motor_recommendations = [\\\"f\\\"]\\n self.match_degree = 0.5\\n\\n self.priority = 0.5\\n\\n\\nclass Photo(Behavior):\\n def __init__(self, bbcon):\\n super(Photo, self).__init__(bbcon)\\n self.name = \\\"Photo\\\"\\n self.c_sensob = CameraSensob()\\n self.sensobs.append(self.c_sensob)\\n\\n def consider_activation(self):\\n\\n if self.bbcon.can_take_photo:\\n self.bbcon.activate_behavior(self)\\n self.halt_request = True\\n self.active_flag = True\\n\\n def consider_deactivation(self):\\n\\n if not self.bbcon.can_take_photo:\\n self.bbcon.deactivate_behavior(self)\\n self.halt_request = False\\n self.active_flag = False\\n\\n def update(self):\\n\\n if self.active_flag:\\n self.consider_deactivation()\\n else:\\n self.consider_activation()\\n\\n self.sense_and_act()\\n self.weight = self.priority * self.match_degree\\n\\n def sense_and_act(self):\\n\\n if self.bbcon.can_take_photo:\\n print(\\\"Taking photo!\\\")\\n image_obj = self.c_sensob.update()\\n img = Imager(image=image_obj)\\n img.dump_image('/')\\n\\n self.match_degree = 0.9\\n\\n triple2 = [0] * 3\\n for x in range(img.xmax):\\n for y in range(img.ymax):\\n t = img.get_pixel(x, y)\\n for i in range(len(triple2)):\\n triple2[i] += t[i]\\n\\n print(\\\"RGB\\\", triple2)\\n print(triple2[0] > triple2[1] and triple2[0] > triple2[2])\\n\\n if triple2[0] > triple2[1] and triple2[0] > triple2[2]:\\n self.motor_recommendations = ['t']\\n\\n else:\\n self.motor_recommendations = ['f']\\n self.bbcon.photo_taken()\\n\\n self.priority = 0.9\\n\"\n },\n {\n \"alpha_fraction\": 0.5449235439300537,\n \"alphanum_fraction\": 0.5586668848991394,\n \"avg_line_length\": 25.70183563232422,\n \"blob_id\": \"979224da989e5ec6e5d8dcac5567b2a7b507d69c\",\n \"content_id\": \"f85f583dd935e50a071642757c4b06304fbf19ed\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11642,\n \"license_type\": \"no_license\",\n \"max_line_length\": 148,\n \"num_lines\": 436,\n \"path\": \"/j/Bbconcop.py\",\n \"repo_name\": \"erlinvan/oving6\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\nfrom camera import *\\nfrom imager2 import *\\nfrom motors import *\\nfrom irproximity_sensor import *\\nfrom reflectance_sensors import *\\nfrom ultrasonic import *\\nfrom zumo_button import *\\nfrom time import sleep\\n\\nclass BBCON:\\n\\n def __init__(self):\\n self.behaviors = [] #liste med alle behaviors\\n self.active_behav = [] #list of active behaviors\\n #self.inactive_behaviors = []\\n self.sensobs = [] #liste med sensor objekter\\n self.motobs = [] #liste med motor objekter\\n self.arbitrator = Arbitrator(self, False)\\n self.current_timestep = 0\\n self.active_camera = False\\n\\n self.add_behavior(Approach(self))\\n self.add_behavior(camera_behavior(self))\\n self.add_behavior(IR_behavior(self))\\n\\n for behavior in self.behaviors:\\n for sensob in behavior.sensobs:\\n if sensob not in self.sensobs:\\n self.add_sensob(sensob)\\n\\n self.motobs = [Motob()]\\n\\n def add_behavior(self,behavior):\\n self.behaviors.append(behavior)\\n\\n def add_sensob(self, sensob):\\n self.sensobs.append(sensob)\\n\\n def activate_behavior(self, behavior): #legger til behavior i active listen\\n if behavior not in self.active_behav:\\n self.active_behav.append(behavior)\\n\\n def deactivate_behavior(self, behavior): #fjerner behavior fra inactive listen\\n if behavior in self.active_behav:\\n self.active_behav.remove(behavior)\\n\\n\\n def run_one_timestep(self):\\n for i in range(len(self.sensobs)):\\n self.sensobs[i].update()\\n for j in range(len(self.behaviors)):\\n self.behaviors[j].update()\\n self.motobs[0].update(self.arbitrator.choose_action().motor_rec)\\n sleep(0.4)\\n for sensob in self.sensobs:\\n sensob.reset()\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nclass Arbitrator:\\n\\n def __init__(self, bbcon, stochastic):\\n self.bbcon = bbcon #skulle ha pointer til bbcon\\n self.stochastic = stochastic #boolean som velger om vi velger hoyest vekt eller random\\n\\n def choose_action(self):\\n if self.stochastic:\\n return self.stochastic()\\n else:\\n return self.highest_weight()\\n\\n def highest_weight(self):\\n\\n highest = self.bbcon.active_behav[0].weight\\n vinner = self.bbcon.active_behav[0]\\n for behavior in self.bbcon.active_behav:\\n if behavior.weight > highest:\\n highest = behavior.weight\\n vinner = behavior\\n return vinner\\n\\n def stochastic(self):\\n\\n sum = 0\\n behaviors = {}\\n\\n #lager liste men intervaller. intervallene til hver behavior er like stpr som vekten, saann at sannsynligheten skal gjenspeiles i dette\\n #[0, 0.5], [0.5, 1.3], [1.3, 2]\\n for behavior in self.bbcon.active_behav:\\n behaviors[behavior] = [sum, sum + behavior.weight]\\n sum += behavior.weight\\n\\n rand_num = random.uniform(0, sum) #finner random tall\\n vinner = None\\n #har naa en dictionary med behavior og et tilsvaende intervall, saa henter ut hoyeste verdien i intervallet (value[1]) og sjekker opp mot random\\n for behavior, interval in behaviors.items():\\n if interval[1] < rand_num:\\n vinner = behavior\\n return vinner\\n\\n\\n\\n\\nclass Sensob:\\n\\n def __init__(self):\\n self.sensors = []\\n self.value = None\\n\\n def update(self): #skal oppdateres en gang hver timestep. Tror det gjores i en annen klasse\\n return\\n\\n def get_value(self):\\n return self.value\\n\\n def reset(self):\\n for sensor in self.sensors:\\n sensor.reset()\\n\\n\\n\\n\\n\\nclass IR(Sensob):\\n\\n def __init__(self):\\n self.sensors = [IRProximitySensor()]\\n self.value = None\\n\\n def update(self):\\n self.sensors[0].update()\\n self.value = self.sensors[0].get_value()\\n\\n\\n def get_value(self):\\n #True betyr at noe er naert\\n return self.value\\n\\n def reset(self):\\n self.sensors[0].reset()\\n\\n\\n\\n\\nclass LookAhead(Sensob):\\n def __init__(self):\\n self.sensors = [Ultrasonic()]\\n\\n def update(self):\\n self.sensors[0].update()\\n self.value = self.sensors[0].get_value()\\n\\n\\n def get_value(self): #trenger jeg aa lage denne naar den arver?\\n return self.value\\n\\n def reset(self):\\n self.sensors[0].reset()\\n\\n\\n\\n\\n\\n\\n\\n\\nclass CameraSensob(Sensob):\\n\\n def __init__(self, threshold=0.4, CR=(0.5, 0.25, 0, 0.25)):\\n self.threshold = threshold #tillatter saasaa mye slingringsmonn\\n self.CR = CR # cutratio, hvor mye av bilde som skal kuttes for analyseringa\\n self.sensors = [Camera()]\\n self.value = []\\n\\n\\n def update(self): #tar bilde med Camera og analyserer fargeverdiene.\\n image = self.sensors[0].update() #henter fra Camera\\n width, height = image.size\\n\\n def wta(p): #get largest pixel, p er en RGB tuppel\\n #x = max(p) #henter ut hvilken som har hoyest verdi\\n liste = list(p) #gjor den om til en liste\\n #print(liste)\\n index = liste.index(max(p))\\n rgb = [0,0,0]\\n #Setter den korrekte til max og de andre til 0\\n rgb[index] = 255\\n return tuple(rgb) #maa vaere en tuppel, ikke en liste\\n\\n\\n for h in range(height):\\n for w in range(width):\\n p = image.getpixel((w,h))\\n pwta = wta(p)\\n image.putpixel((w,h), pwta)\\n #teller hvor mange vi har av hver farge\\n color_count = [0, 0, 0]\\n for h in range(height):\\n for w in range(width):\\n pixel = list(image.getpixel((w,h)))\\n color_count[pixel.index(255)] +=1 #legger til 1 paa der det er 255 i pixel\\n #maa endre det til hvor mye av det totale bildet det er\\n of_total = [0.0, 0.0, 0.0]\\n for i in range(len(color_count)):\\n total = width*height\\n of_total[i] = color_count[i]/total\\n self.value = of_total\\n\\n\\n def get_value(self):\\n return self.value\\n\\n def reset(self):\\n self.sensors[0].reset()\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nclass Behavior:\\n\\n # priority = static predefined value\\n\\n def __init__(self, bbcon):\\n self.bbcon = bbcon #pointer to controller that uses this behaviour\\n self.sensobs = [] #list of sensobs this behavour uses\\n self.motor_rec = []\\n self.active_flag = False\\n self.halt_request = False\\n self.priority = 1.0\\n self.match_degree = 0 #et tall som sier noen om hvor mye de naavaerende tilstandene garanterer behavioren\\n self.weight = self.priority * self.match_degree\\n\\n def consider_deactivation(self):\\n pass\\n\\n def consider_activation(self):\\n pass\\n\\n def update(self):\\n if self.active_flag:\\n self.consider_deactivation()\\n else:\\n self.consider_activation()\\n self.sense_and_act()\\n self.update_weight()\\n\\n def sense_and_act(self): #calculate\\n pass\\n\\n def update_weight(self):\\n self.weight=self.priority * self.match_degree\\n\\n\\n\\nclass Approach(Behavior): #UV-behaviour\\n def __init__(self, bbcon):\\n super().__init__(bbcon)\\n self.sensobs.append(LookAhead()) #UV\\n self.active_flag=True\\n self.bbcon.active_behav.append(self)\\n\\n\\n def sense_and_act(self):\\n\\n distance=self.sensobs[0].get_value() #hvorfor to linjer?\\n if distance >= 10:\\n self.bbcon.active_camera = True\\n self.match_degree=0.6\\n self.motor_rec = [(\\\"F\\\", 0.4, 0.6)]\\n self.update_weight()\\n print(\\\"kjor\\\")\\n else:\\n self.bbcon.active_camera = False\\n self.match_degree = 0.3\\n self.motor_rec = [(\\\"S\\\", 0, 0)]\\n self.update_weight()\\n print(\\\"stopp\\\")\\n\\nclass camera_behavior(Behavior):\\n\\n def __init__(self, bbcon):\\n super().__init__(bbcon)\\n self.active_flag=True\\n self.bbcon.active_behav.append(self)\\n self.sensobs.append(CameraSensob())\\n\\n def concider_deactivation(self):\\n if (self.bbcon.active_camera):\\n self.active_flag=True\\n else:\\n self.active_flag=False\\n index=self.bbcon.active_behav.index(self)\\n self.bbcon.active_behav.pop(index)\\n\\n def consider_activation(self):\\n if self.bbcon.active_camera:\\n self.active_flag=True\\n if self not in self.bbcon.active_behav:#trengs denne og neste linje\\n self.bbcon.active_behav.append(self)\\n else:\\n self.active_flag=False\\n\\n def sense_and_act(self):\\n if self.active_flag:\\n self.concider_deactivation()\\n else:\\n self.consider_activation()\\n\\n if self.active_flag:\\n piece=self.sensobs[0].get_value()\\n index = piece.index(max(piece))\\n if index==0: #red\\n #print(\\\"ROD\\\")\\n #self.forward()\\n self.match_degree = 0.5\\n self.update_weight()\\n elif index == 1: # green\\n print(\\\"GRONN\\\")\\n # self.motor_rec = [('R', 0.2, 1.0)]\\n self.pull_back\\n self.match_degree = 1.0\\n self.update_weight()\\n else: # blue\\n print(\\\"BLA\\\")\\n # self.motor_rec = [('L', 0.5, 1.0)]\\n #self.turn\\n self.match_degree = 1.0\\n self.update_weight()\\n else:\\n self.motor_rec = [('B', 0.2, 0.5)]\\n self.match_degree = 0.1\\n self.update_weight()\\n\\n def forward(self):\\n self.motor_rec = [(\\\"F\\\", 0.7,1.0)]\\n\\n def pull_back(self):\\n self.motor_rec = [('B', 0.2, 1.0)]\\n\\n def turn(self):\\n self.motor_rec = [('R', 0.5, 1.0), ('F', 0.2, 1.0)]\\n\\n\\n\\n\\n\\n\\nclass IR_behavior(Behavior):\\n\\n def __init__(self, bbcon):\\n super().__init__(bbcon)\\n self.sensobs.append(IR())\\n self.active_flag=True\\n self.bbcon.active_behav.append(self)\\n\\n def sense_and_act(self):\\n val = self.sensobs[0].get_value()\\n if val[0] == True:\\n self.motor_rec = [('R', 0.5, 1.5)]\\n self.match_degree = 1\\n elif val[1] == True:\\n self.motor_rec = [('L', 0.5, 1.5)]\\n self.match_degree = 1\\n else:\\n self.motor_rec = [('S', 0.25, 1)]\\n self.match_degree = 0\\n\\n\\n\\n\\n\\nclass Motob:\\n def __init__(self):\\n self.motors = [Motors()]\\n self.value = None\\n\\n def update(self, vals):\\n self.value = vals\\n self.operationalize()\\n\\n def operationalize(self):# convert motor reccomantation into one or more motor settings\\n for i in range (len(self.value)):\\n if (self.value[i][0] == \\\"F\\\" or self.value[i][0] == \\\"f\\\"):\\n self.motors[0].forward(self.value[i][1], self.value[i][2])\\n elif (self.value[i][0] == \\\"B\\\" or self.value[i][0]==\\\"b\\\"):\\n self.motors[0].backward(self.value[i][1], self.value[i][2])\\n elif (self.value[i][0] == \\\"R\\\" or self.value[i][0] == \\\"r\\\"):\\n self.motors[0].right(self.value[i][1], self.value[i][2])\\n elif (self.value[i][0] == \\\"L\\\" or self.value[i][0]==\\\"l\\\"):\\n self.motors[0].left(self.value[i][1], self.value[i][2])\\n elif (self.value[i][0]==\\\"S\\\" or self.value[i][0]==\\\"s\\\"):\\n self.motors[0].stop()\\n else:\\n print(\\\"Something wrong\\\")\\n\\n\\n\\n\\n\\n\\n\\n\\n\\ndef main():\\n bbcon = BBCON()\\n x = False\\n ZumoButton().wait_for_press()\\n while x == False:\\n bbcon.run_one_timestep()\\n\\n\\nif __name__ == '__main__':\\n main()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":8,"string":"8"}}},{"rowIdx":2984189,"cells":{"repo_name":{"kind":"string","value":"carolinedlu/test_host_name"},"repo_url":{"kind":"string","value":"https://github.com/carolinedlu/test_host_name"},"snapshot_id":{"kind":"string","value":"441b33f841a0030432564dbe4b7fa4d9f80b7a93"},"revision_id":{"kind":"string","value":"3829104c059b68bd882f516b41cce7600e43c580"},"directory_id":{"kind":"string","value":"901d6fa1d498bc465d2d3409e05ee9e17cc5136d"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-06-11T22:05:20.342024","string":"2023-06-11T22:05:20.342024"},"revision_date":{"kind":"timestamp","value":"2021-07-09T18:33:35","string":"2021-07-09T18:33:35"},"committer_date":{"kind":"timestamp","value":"2021-07-09T18:33:35","string":"2021-07-09T18:33:35"},"github_id":{"kind":"number","value":383599507,"string":"383,599,507"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":1,"string":"1"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list 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\"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 187,\n \"license_type\": \"no_license\",\n \"max_line_length\": 40,\n \"num_lines\": 12,\n \"path\": \"/streamlit_app.py\",\n \"repo_name\": \"carolinedlu/test_host_name\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import streamlit as st\\nimport os\\nfrom streamlit import caching\\n\\nif os.getenv(\\\"HOSTNAME\\\") == \\\"streamlit\\\":\\n st.write(\\\"welcome to the cloud\\\")\\n\\nst.write(os.environ)\\n\\n\\n\\ncaching.clear_cache()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2984190,"cells":{"repo_name":{"kind":"string","value":"DigimundoTesca/cristobal-poll"},"repo_url":{"kind":"string","value":"https://github.com/DigimundoTesca/cristobal-poll"},"snapshot_id":{"kind":"string","value":"c7644342924b73664ac4407e7917c12dd0509959"},"revision_id":{"kind":"string","value":"a5c7d180379a7d9ae3d5272409d4a37284c0649f"},"directory_id":{"kind":"string","value":"8d463d34a5a2e3dec6e25d2a99a1e057dba3ad0f"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-18T16:57:11.622800","string":"2021-01-18T16:57:11.622800"},"revision_date":{"kind":"timestamp","value":"2017-08-16T11:31:57","string":"2017-08-16T11:31:57"},"committer_date":{"kind":"timestamp","value":"2017-08-16T11:31:57","string":"2017-08-16T11:31:57"},"github_id":{"kind":"number","value":100478092,"string":"100,478,092"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6164102554321289,"alphanum_fraction":0.6307692527770996,"avg_line_length":31.5,"blob_id":"8ce72d5a1936cd5d1239e2fe428ca9831b4e65ff","content_id":"6f9b3117e5a42d15f6af73ffd563c27dbbefd06b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":980,"license_type":"permissive","max_line_length":87,"num_lines":30,"path":"/polls/models.py","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"from django.db import models\nfrom django.core.validators import RegexValidator\n\nclass Poll(models.Model):\n phone_regex = RegexValidator(\n regex=r'^\\d{10}$',\n message=\"Debe ingresar un número telefónico de 10 dígitos.\",\n )\n\n name = models.CharField(max_length=90, default='', blank=False, null=False)\n last_name = models.CharField(max_length=190, default='', blank=False, null=False)\n last_module = models.CharField(max_length=120, default='', blank=False, null=False)\n email = models.EmailField(default='', unique=True, blank=False, null=False)\n phone_number = models.CharField(\n blank=False,\n null=False,\n unique= True,\n max_length=10,\n validators=[phone_regex],\n error_messages={\n 'unique': \"Este número ya está registrado.\",\n },\n )\n\n def __str__(self):\n return self.name\n\n class Meta:\n verbose_name = 'encuesta'\n verbose_name_plural = 'encuestas'\n"},{"alpha_fraction":0.5310603380203247,"alphanum_fraction":0.5357015132904053,"avg_line_length":34.6815299987793,"blob_id":"038b03b9ddb8ebc217573d5153b44c8f20020e7a","content_id":"7a8e869aab7ca5854a065c51b4a84ffc18021bfe","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"HTML","length_bytes":5609,"license_type":"permissive","max_line_length":149,"num_lines":157,"path":"/polls/templates/poll.html","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"{% load static %}\n<!DOCTYPE html>\n<html lang=\"es\">\n<head>\n <!-- Required meta tags -->\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1, shrink-to-fit=no\">\n\n <!-- Bootstrap CSS -->\n <link rel=\"stylesheet\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/css/bootstrap.min.css\" integrity=\"sha384-/Y6pD6FV/Vv2HJnA6t+vslU6fwYXjCFtcEpHbNJ0lyAFsXTsjBbfaDjzALeQsN6M\" crossorigin=\"anonymous\">\n <link rel=\"stylesheet\" href=\"http://getbootstrap.com/docs/4.0/examples/sticky-footer-navbar/sticky-footer-navbar.css\">\n <title>Metamundo</title>\n <style media=\"screen\">\n #main-container {\n padding-top: 2rem;\n padding-bottom: 2rem;\n }\n #metamundo-banner {\n max-height: 200px;\n }\n .container-banner {\n display: flex;\n justify-content: center;\n }\n .invalid-feedback {\n display: initial;\n }\n </style>\n</head>\n<body>\n <!-- Image and text -->\n <nav class=\"navbar navbar-dark bg-dark\">\n <div class=\"container\">\n <a class=\"navbar-brand\" href=\"{% url 'polls:poll' %}\">Metamundo Online</a>\n </div>\n </nav>\n <div class=\"container\" id=\"main-container\">\n <div class=\"container-banner\">\n <img id=\"metamundo-banner\" src=\"{% static 'images/logo-meta.png' %}\" class=\"img-fluid\" alt=\"\">\n </div>\n <form method=\"post\">\n {% csrf_token %}\n <div class=\"form-group\">\n <label for=\"name\">Nombre</label>\n <input id=\"name\"\n class=\"form-control {% if form.name.errors %}is-invalid{% endif %}\"\n type=\"text\"\n name=\"name\"\n value=\"{%if form.name.value %}{{form.name.value}}{% endif %}\"\n maxlength=\"{{form.name.field.max_length}}\"\n placeholder=\"Nombre(s)\"\n required/>\n {% if form.name.errors %}\n <div class=\"invalid-feedback\">\n <ul>\n {% for error in form.name.errors %}\n <li>{{error}}</li>\n {% endfor %}\n </ul>\n </div>\n {% endif %}\n </div>\n <div class=\"form-group\">\n <label for=\"lastName\">Apellidos</label>\n <input id=\"lastName\"\n class=\"form-control {% if form.last_name.errors %}is-invalid{% endif %}\"\n type=\"text\"\n name=\"last_name\"\n value=\"{%if form.last_name.value %}{{form.last_name.value}}{% endif %}\"\n maxlength=\"{{form.last_name.field.max_length}}\"\n placeholder=\"Apellido Materno y Paterno\"\n required/>\n {% if form.last_name.errors %}\n <div class=\"invalid-feedback\">\n <ul>\n {% for error in form.last_name.errors %}\n <li>{{error}}</li>\n {% endfor %}\n </ul>\n </div>\n {% endif %}\n </div>\n <div class=\"form-group\">\n <label for=\"lastModule\">Último modulo</label>\n <input id=\"lastModule\"\n class=\"form-control {% if form.last_module.errors %}is-invalid{% endif %}\"\n type=\"text\"\n name=\"last_module\"\n value=\"{%if form.last_module.value %}{{form.last_module.value}}{% endif %}\"\n maxlength=\"{{form.last_module.field.max_length}}\"\n placeholder=\"Último módulo cursado online en Metamundo\"\n required/>\n {% if form.last_module.errors %}\n <div class=\"invalid-feedback\">\n <ul>\n {% for error in form.last_module.errors %}\n <li>{{error}}</li>\n {% endfor %}\n </ul>\n </div>\n {% endif %}\n </div>\n <div class=\"form-group\">\n <label for=\"email\">Email</label>\n <input id=\"email\"\n class=\"form-control {% if form.email.errors %}is-invalid{% endif %}\"\n type=\"email\"\n name=\"email\"\n value=\"{%if form.email.value %}{{form.email.value}}{% endif %}\"\n placeholder=\"Email\"\n required/>\n {% if form.email.errors %}\n <div class=\"invalid-feedback\">\n <ul>\n {% for error in form.email.errors %}\n <li>{{error}}</li>\n {% endfor %}\n </ul>\n </div>\n {% endif %}\n </div>\n <div class=\"form-group\">\n <label for=\"phoneNumber\">Teléfono</label>\n <input id=\"phoneNumber\"\n class=\"form-control {% if form.phone_number.errors %}is-invalid{% endif %}\"\n type=\"text\"\n name=\"phone_number\"\n value=\"{%if form.phone_number.value %}{{form.phone_number.value}}{% endif %}\"\n maxlength=\"{{form.phone_number.field.max_length}}\"\n placeholder=\"Número de Teléfono (De preferencia con Whatsapp)\"\n required/>\n {% if form.phone_number.errors %}\n <div class=\"invalid-feedback\">\n <ul>\n {% for error in form.phone_number.errors %}\n <li>{{error}}</li>\n {% endfor %}\n </ul>\n </div>\n {% endif %}\n </div>\n <button class='btn btn-primary btn-block' type=\"submit\">Enviar</button>\n </form>\n </div>\n <footer class=\"footer\">\n <div class=\"container \">\n <span class=\"text-muted\">\n © Metamundo 2017\n </span>\n </div>\n </footer>\n <!-- jQuery first, then Popper.js, then Bootstrap JS -->\n <script src=\"https://code.jquery.com/jquery-3.2.1.slim.min.js\" integrity=\"sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN\" crossorigin=\"anonymous\"></script>\n <script src=\"https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.11.0/umd/popper.min.js\" integrity=\"sha384-b/U6ypiBEHpOf/4+1nzFpr53nxSS+GLCkfwBdFNTxtclqqenISfwAzpKaMNFNmj4\" crossorigin=\"anonymous\"></script>\n <script src=\"https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/js/bootstrap.min.js\" integrity=\"sha384-h0AbiXch4ZDo7tp9hKZ4TsHbi047NrKGLO3SEJAg45jXxnGIfYzk4Si90RDIqNm1\" crossorigin=\"anonymous\"></script>\n</body>\n</html>\n"},{"alpha_fraction":0.7008928656578064,"alphanum_fraction":0.7008928656578064,"avg_line_length":27,"blob_id":"7f1bc86b2c0fd3a802199250d88a434aa73ca3fb","content_id":"90c04d187d8e8396db2c2039405791c3fa01604e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":448,"license_type":"permissive","max_line_length":74,"num_lines":16,"path":"/polls/views.py","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"from django.shortcuts import render, reverse\nfrom django.views.generic.edit import CreateView\n\nfrom .models import Poll\n\nclass CreatePoll(CreateView):\n model = Poll\n template_name = 'poll.html'\n fields = ['name', 'last_name', 'last_module', 'email', 'phone_number']\n\n def get_success_url(self):\n return reverse('polls:thanks')\n\ndef thanks(request):\n template = 'thanks.html'\n return render(request, template, context=None)\n"},{"alpha_fraction":0.6033653616905212,"alphanum_fraction":0.6057692170143127,"avg_line_length":31,"blob_id":"79cca8e0783d3169e1286bfe80fed56f61c70f8b","content_id":"e37443e7cf80040dbc5660be17b59c9423a2c4f5","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":416,"license_type":"permissive","max_line_length":60,"num_lines":13,"path":"/poll/settings/dev_postgres.py","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"from poll.settings.dev import *\n\n# Database\nDATABASES = {\n 'default': {\n 'ENGINE': 'django.db.backends.postgresql_psycopg2',\n 'NAME': os.getenv('CRISTOBAL_POLL_DB_NAME'),\n 'USER': os.getenv('CRISTOBAL_POLL_DB_USER'),\n 'PASSWORD': os.getenv('CRISTOBAL_POLL_DB_PASSWORD'),\n 'HOST': os.getenv('CRISTOBAL_POLL_DB_HOST'),\n 'PORT': os.getenv('CRISTOBAL_POLL_DB_PORT'),\n }\n}\n"},{"alpha_fraction":0.8484848737716675,"alphanum_fraction":0.8484848737716675,"avg_line_length":48.5,"blob_id":"db391b5bd4d1e2dc8a916490e53378ae3d362fce","content_id":"d19b1f7395190c5af3b23c59952c325e49b29d51","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":100,"license_type":"permissive","max_line_length":81,"num_lines":2,"path":"/README.md","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"# cristobal-poll\nRepositorio con pequeño proyecto para deplegar un formulario para los estudiantes\n"},{"alpha_fraction":0.7222222089767456,"alphanum_fraction":0.7222222089767456,"avg_line_length":27.285715103149414,"blob_id":"af6a763cec2385bcdc0faa1081e32998114700dc","content_id":"1a40ca2077364156a7eb4b41dcdb2764c51d852b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":198,"license_type":"permissive","max_line_length":80,"num_lines":7,"path":"/polls/admin.py","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"from django.contrib import admin\n\nfrom .models import Poll\n\n@admin.register(Poll)\nclass PollAdmin(admin.ModelAdmin):\n list_display = ('name', 'last_name', 'email', 'last_module', 'phone_number')\n"},{"alpha_fraction":0.616487443447113,"alphanum_fraction":0.6200717091560364,"avg_line_length":28.36842155456543,"blob_id":"b084cbd4632c51194d35837f4a882355085f3825","content_id":"c303f34a8f88482b94c0de4ba72c1bdee4acd413","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":558,"license_type":"permissive","max_line_length":61,"num_lines":19,"path":"/poll/settings/prod.py","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"from poll.settings.base import *\n\nDEBUG = False\n\nALLOWED_HOSTS = ['*']\nTEMPLATES[0]['OPTIONS']['debug'] = DEBUG\nSECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')\n\n# Database\nDATABASES = {\n 'default': {\n 'ENGINE': 'django.db.backends.postgresql_psycopg2',\n 'NAME': os.getenv('CRISTOBAL_POLL_DB_NAME'),\n 'USER': os.getenv('CRISTOBAL_POLL_DB_USER'),\n 'PASSWORD': os.getenv('CRISTOBAL_POLL_DB_PASSWORD'),\n 'HOST': os.getenv('CRISTOBAL_POLL_DB_HOST'),\n 'PORT': os.getenv('CRISTOBAL_POLL_DB_PORT'),\n }\n}\n"},{"alpha_fraction":0.6694915294647217,"alphanum_fraction":0.6694915294647217,"avg_line_length":20.454545974731445,"blob_id":"3348007e7d0dae27b32b42acf608981beecd39d2","content_id":"effb885416581bb2fd12925ba7ed6d49b809da53","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":236,"license_type":"permissive","max_line_length":56,"num_lines":11,"path":"/polls/urls.py","repo_name":"DigimundoTesca/cristobal-poll","src_encoding":"UTF-8","text":"from django.conf import settings\nfrom django.conf.urls import url\n\nfrom . import views\n\napp_name = 'polls'\n\nurlpatterns = [\n url(r'^$', views.CreatePoll.as_view(), name='poll'),\n url(r'^gracias/$', views.thanks, name='thanks'),\n]\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6164102554321289,\n \"alphanum_fraction\": 0.6307692527770996,\n \"avg_line_length\": 31.5,\n \"blob_id\": \"8ce72d5a1936cd5d1239e2fe428ca9831b4e65ff\",\n \"content_id\": \"6f9b3117e5a42d15f6af73ffd563c27dbbefd06b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 980,\n \"license_type\": \"permissive\",\n \"max_line_length\": 87,\n \"num_lines\": 30,\n \"path\": \"/polls/models.py\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.db import models\\nfrom django.core.validators import RegexValidator\\n\\nclass Poll(models.Model):\\n phone_regex = RegexValidator(\\n regex=r'^\\\\d{10}$',\\n message=\\\"Debe ingresar un número telefónico de 10 dígitos.\\\",\\n )\\n\\n name = models.CharField(max_length=90, default='', blank=False, null=False)\\n last_name = models.CharField(max_length=190, default='', blank=False, null=False)\\n last_module = models.CharField(max_length=120, default='', blank=False, null=False)\\n email = models.EmailField(default='', unique=True, blank=False, null=False)\\n phone_number = models.CharField(\\n blank=False,\\n null=False,\\n unique= True,\\n max_length=10,\\n validators=[phone_regex],\\n error_messages={\\n 'unique': \\\"Este número ya está registrado.\\\",\\n },\\n )\\n\\n def __str__(self):\\n return self.name\\n\\n class Meta:\\n verbose_name = 'encuesta'\\n verbose_name_plural = 'encuestas'\\n\"\n },\n {\n \"alpha_fraction\": 0.5310603380203247,\n \"alphanum_fraction\": 0.5357015132904053,\n \"avg_line_length\": 34.6815299987793,\n \"blob_id\": \"038b03b9ddb8ebc217573d5153b44c8f20020e7a\",\n \"content_id\": \"7a8e869aab7ca5854a065c51b4a84ffc18021bfe\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"HTML\",\n \"length_bytes\": 5609,\n \"license_type\": \"permissive\",\n \"max_line_length\": 149,\n \"num_lines\": 157,\n \"path\": \"/polls/templates/poll.html\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"{% load static %}\\n<!DOCTYPE html>\\n<html lang=\\\"es\\\">\\n<head>\\n <!-- Required meta tags -->\\n <meta charset=\\\"utf-8\\\">\\n <meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1, shrink-to-fit=no\\\">\\n\\n <!-- Bootstrap CSS -->\\n <link rel=\\\"stylesheet\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/css/bootstrap.min.css\\\" integrity=\\\"sha384-/Y6pD6FV/Vv2HJnA6t+vslU6fwYXjCFtcEpHbNJ0lyAFsXTsjBbfaDjzALeQsN6M\\\" crossorigin=\\\"anonymous\\\">\\n <link rel=\\\"stylesheet\\\" href=\\\"http://getbootstrap.com/docs/4.0/examples/sticky-footer-navbar/sticky-footer-navbar.css\\\">\\n <title>Metamundo</title>\\n <style media=\\\"screen\\\">\\n #main-container {\\n padding-top: 2rem;\\n padding-bottom: 2rem;\\n }\\n #metamundo-banner {\\n max-height: 200px;\\n }\\n .container-banner {\\n display: flex;\\n justify-content: center;\\n }\\n .invalid-feedback {\\n display: initial;\\n }\\n </style>\\n</head>\\n<body>\\n <!-- Image and text -->\\n <nav class=\\\"navbar navbar-dark bg-dark\\\">\\n <div class=\\\"container\\\">\\n <a class=\\\"navbar-brand\\\" href=\\\"{% url 'polls:poll' %}\\\">Metamundo Online</a>\\n </div>\\n </nav>\\n <div class=\\\"container\\\" id=\\\"main-container\\\">\\n <div class=\\\"container-banner\\\">\\n <img id=\\\"metamundo-banner\\\" src=\\\"{% static 'images/logo-meta.png' %}\\\" class=\\\"img-fluid\\\" alt=\\\"\\\">\\n </div>\\n <form method=\\\"post\\\">\\n {% csrf_token %}\\n <div class=\\\"form-group\\\">\\n <label for=\\\"name\\\">Nombre</label>\\n <input id=\\\"name\\\"\\n class=\\\"form-control {% if form.name.errors %}is-invalid{% endif %}\\\"\\n type=\\\"text\\\"\\n name=\\\"name\\\"\\n value=\\\"{%if form.name.value %}{{form.name.value}}{% endif %}\\\"\\n maxlength=\\\"{{form.name.field.max_length}}\\\"\\n placeholder=\\\"Nombre(s)\\\"\\n required/>\\n {% if form.name.errors %}\\n <div class=\\\"invalid-feedback\\\">\\n <ul>\\n {% for error in form.name.errors %}\\n <li>{{error}}</li>\\n {% endfor %}\\n </ul>\\n </div>\\n {% endif %}\\n </div>\\n <div class=\\\"form-group\\\">\\n <label for=\\\"lastName\\\">Apellidos</label>\\n <input id=\\\"lastName\\\"\\n class=\\\"form-control {% if form.last_name.errors %}is-invalid{% endif %}\\\"\\n type=\\\"text\\\"\\n name=\\\"last_name\\\"\\n value=\\\"{%if form.last_name.value %}{{form.last_name.value}}{% endif %}\\\"\\n maxlength=\\\"{{form.last_name.field.max_length}}\\\"\\n placeholder=\\\"Apellido Materno y Paterno\\\"\\n required/>\\n {% if form.last_name.errors %}\\n <div class=\\\"invalid-feedback\\\">\\n <ul>\\n {% for error in form.last_name.errors %}\\n <li>{{error}}</li>\\n {% endfor %}\\n </ul>\\n </div>\\n {% endif %}\\n </div>\\n <div class=\\\"form-group\\\">\\n <label for=\\\"lastModule\\\">Último modulo</label>\\n <input id=\\\"lastModule\\\"\\n class=\\\"form-control {% if form.last_module.errors %}is-invalid{% endif %}\\\"\\n type=\\\"text\\\"\\n name=\\\"last_module\\\"\\n value=\\\"{%if form.last_module.value %}{{form.last_module.value}}{% endif %}\\\"\\n maxlength=\\\"{{form.last_module.field.max_length}}\\\"\\n placeholder=\\\"Último módulo cursado online en Metamundo\\\"\\n required/>\\n {% if form.last_module.errors %}\\n <div class=\\\"invalid-feedback\\\">\\n <ul>\\n {% for error in form.last_module.errors %}\\n <li>{{error}}</li>\\n {% endfor %}\\n </ul>\\n </div>\\n {% endif %}\\n </div>\\n <div class=\\\"form-group\\\">\\n <label for=\\\"email\\\">Email</label>\\n <input id=\\\"email\\\"\\n class=\\\"form-control {% if form.email.errors %}is-invalid{% endif %}\\\"\\n type=\\\"email\\\"\\n name=\\\"email\\\"\\n value=\\\"{%if form.email.value %}{{form.email.value}}{% endif %}\\\"\\n placeholder=\\\"Email\\\"\\n required/>\\n {% if form.email.errors %}\\n <div class=\\\"invalid-feedback\\\">\\n <ul>\\n {% for error in form.email.errors %}\\n <li>{{error}}</li>\\n {% endfor %}\\n </ul>\\n </div>\\n {% endif %}\\n </div>\\n <div class=\\\"form-group\\\">\\n <label for=\\\"phoneNumber\\\">Teléfono</label>\\n <input id=\\\"phoneNumber\\\"\\n class=\\\"form-control {% if form.phone_number.errors %}is-invalid{% endif %}\\\"\\n type=\\\"text\\\"\\n name=\\\"phone_number\\\"\\n value=\\\"{%if form.phone_number.value %}{{form.phone_number.value}}{% endif %}\\\"\\n maxlength=\\\"{{form.phone_number.field.max_length}}\\\"\\n placeholder=\\\"Número de Teléfono (De preferencia con Whatsapp)\\\"\\n required/>\\n {% if form.phone_number.errors %}\\n <div class=\\\"invalid-feedback\\\">\\n <ul>\\n {% for error in form.phone_number.errors %}\\n <li>{{error}}</li>\\n {% endfor %}\\n </ul>\\n </div>\\n {% endif %}\\n </div>\\n <button class='btn btn-primary btn-block' type=\\\"submit\\\">Enviar</button>\\n </form>\\n </div>\\n <footer class=\\\"footer\\\">\\n <div class=\\\"container \\\">\\n <span class=\\\"text-muted\\\">\\n © Metamundo 2017\\n </span>\\n </div>\\n </footer>\\n <!-- jQuery first, then Popper.js, then Bootstrap JS -->\\n <script src=\\\"https://code.jquery.com/jquery-3.2.1.slim.min.js\\\" integrity=\\\"sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN\\\" crossorigin=\\\"anonymous\\\"></script>\\n <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.11.0/umd/popper.min.js\\\" integrity=\\\"sha384-b/U6ypiBEHpOf/4+1nzFpr53nxSS+GLCkfwBdFNTxtclqqenISfwAzpKaMNFNmj4\\\" crossorigin=\\\"anonymous\\\"></script>\\n <script src=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/js/bootstrap.min.js\\\" integrity=\\\"sha384-h0AbiXch4ZDo7tp9hKZ4TsHbi047NrKGLO3SEJAg45jXxnGIfYzk4Si90RDIqNm1\\\" crossorigin=\\\"anonymous\\\"></script>\\n</body>\\n</html>\\n\"\n },\n {\n \"alpha_fraction\": 0.7008928656578064,\n \"alphanum_fraction\": 0.7008928656578064,\n \"avg_line_length\": 27,\n \"blob_id\": \"7f1bc86b2c0fd3a802199250d88a434aa73ca3fb\",\n \"content_id\": \"90c04d187d8e8396db2c2039405791c3fa01604e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 448,\n \"license_type\": \"permissive\",\n \"max_line_length\": 74,\n \"num_lines\": 16,\n \"path\": \"/polls/views.py\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.shortcuts import render, reverse\\nfrom django.views.generic.edit import CreateView\\n\\nfrom .models import Poll\\n\\nclass CreatePoll(CreateView):\\n model = Poll\\n template_name = 'poll.html'\\n fields = ['name', 'last_name', 'last_module', 'email', 'phone_number']\\n\\n def get_success_url(self):\\n return reverse('polls:thanks')\\n\\ndef thanks(request):\\n template = 'thanks.html'\\n return render(request, template, context=None)\\n\"\n },\n {\n \"alpha_fraction\": 0.6033653616905212,\n \"alphanum_fraction\": 0.6057692170143127,\n \"avg_line_length\": 31,\n \"blob_id\": \"79cca8e0783d3169e1286bfe80fed56f61c70f8b\",\n \"content_id\": \"e37443e7cf80040dbc5660be17b59c9423a2c4f5\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 416,\n \"license_type\": \"permissive\",\n \"max_line_length\": 60,\n \"num_lines\": 13,\n \"path\": \"/poll/settings/dev_postgres.py\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from poll.settings.dev import *\\n\\n# Database\\nDATABASES = {\\n 'default': {\\n 'ENGINE': 'django.db.backends.postgresql_psycopg2',\\n 'NAME': os.getenv('CRISTOBAL_POLL_DB_NAME'),\\n 'USER': os.getenv('CRISTOBAL_POLL_DB_USER'),\\n 'PASSWORD': os.getenv('CRISTOBAL_POLL_DB_PASSWORD'),\\n 'HOST': os.getenv('CRISTOBAL_POLL_DB_HOST'),\\n 'PORT': os.getenv('CRISTOBAL_POLL_DB_PORT'),\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.8484848737716675,\n \"alphanum_fraction\": 0.8484848737716675,\n \"avg_line_length\": 48.5,\n \"blob_id\": \"db391b5bd4d1e2dc8a916490e53378ae3d362fce\",\n \"content_id\": \"d19b1f7395190c5af3b23c59952c325e49b29d51\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 100,\n \"license_type\": \"permissive\",\n \"max_line_length\": 81,\n \"num_lines\": 2,\n \"path\": \"/README.md\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# cristobal-poll\\nRepositorio con pequeño proyecto para deplegar un formulario para los estudiantes\\n\"\n },\n {\n \"alpha_fraction\": 0.7222222089767456,\n \"alphanum_fraction\": 0.7222222089767456,\n \"avg_line_length\": 27.285715103149414,\n \"blob_id\": \"af6a763cec2385bcdc0faa1081e32998114700dc\",\n \"content_id\": \"1a40ca2077364156a7eb4b41dcdb2764c51d852b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 198,\n \"license_type\": \"permissive\",\n \"max_line_length\": 80,\n \"num_lines\": 7,\n \"path\": \"/polls/admin.py\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.contrib import admin\\n\\nfrom .models import Poll\\n\\n@admin.register(Poll)\\nclass PollAdmin(admin.ModelAdmin):\\n list_display = ('name', 'last_name', 'email', 'last_module', 'phone_number')\\n\"\n },\n {\n \"alpha_fraction\": 0.616487443447113,\n \"alphanum_fraction\": 0.6200717091560364,\n \"avg_line_length\": 28.36842155456543,\n \"blob_id\": \"b084cbd4632c51194d35837f4a882355085f3825\",\n \"content_id\": \"c303f34a8f88482b94c0de4ba72c1bdee4acd413\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 558,\n \"license_type\": \"permissive\",\n \"max_line_length\": 61,\n \"num_lines\": 19,\n \"path\": \"/poll/settings/prod.py\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from poll.settings.base import *\\n\\nDEBUG = False\\n\\nALLOWED_HOSTS = ['*']\\nTEMPLATES[0]['OPTIONS']['debug'] = DEBUG\\nSECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')\\n\\n# Database\\nDATABASES = {\\n 'default': {\\n 'ENGINE': 'django.db.backends.postgresql_psycopg2',\\n 'NAME': os.getenv('CRISTOBAL_POLL_DB_NAME'),\\n 'USER': os.getenv('CRISTOBAL_POLL_DB_USER'),\\n 'PASSWORD': os.getenv('CRISTOBAL_POLL_DB_PASSWORD'),\\n 'HOST': os.getenv('CRISTOBAL_POLL_DB_HOST'),\\n 'PORT': os.getenv('CRISTOBAL_POLL_DB_PORT'),\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6694915294647217,\n \"alphanum_fraction\": 0.6694915294647217,\n \"avg_line_length\": 20.454545974731445,\n \"blob_id\": \"3348007e7d0dae27b32b42acf608981beecd39d2\",\n \"content_id\": \"effb885416581bb2fd12925ba7ed6d49b809da53\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 236,\n \"license_type\": \"permissive\",\n \"max_line_length\": 56,\n \"num_lines\": 11,\n \"path\": \"/polls/urls.py\",\n \"repo_name\": \"DigimundoTesca/cristobal-poll\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.conf import settings\\nfrom django.conf.urls import url\\n\\nfrom . import views\\n\\napp_name = 'polls'\\n\\nurlpatterns = [\\n url(r'^$', views.CreatePoll.as_view(), name='poll'),\\n url(r'^gracias/$', views.thanks, name='thanks'),\\n]\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":8,"string":"8"}}},{"rowIdx":2984191,"cells":{"repo_name":{"kind":"string","value":"aayushdhakad/Fantasy-Cricket"},"repo_url":{"kind":"string","value":"https://github.com/aayushdhakad/Fantasy-Cricket"},"snapshot_id":{"kind":"string","value":"255088c52484f5eec147c5a128a2361e91ad5802"},"revision_id":{"kind":"string","value":"f41aa047482e43451d9322ed4f3a4db2d2848ee8"},"directory_id":{"kind":"string","value":"61360f1f34835e9ac1ef8eaa630c06e7c430470e"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-03-02T19:45:39.174072","string":"2023-03-02T19:45:39.174072"},"revision_date":{"kind":"timestamp","value":"2021-02-14T10:31:02","string":"2021-02-14T10:31:02"},"committer_date":{"kind":"timestamp","value":"2021-02-14T10:31:02","string":"2021-02-14T10:31:02"},"github_id":{"kind":"number","value":338779376,"string":"338,779,376"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5278246402740479,"alphanum_fraction":0.5505902171134949,"avg_line_length":31.904762268066406,"blob_id":"aab475fad5acad2d840c4c30fb803206a7d1d49c","content_id":"b567356f91083236a376757cb861e4dff3d12211","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3558,"license_type":"no_license","max_line_length":123,"num_lines":105,"path":"/live.py","repo_name":"aayushdhakad/Fantasy-Cricket","src_encoding":"UTF-8","text":"from tkinter import *\r\nfrom fantasy import *\r\nfrom tkinter import messagebox\r\n\r\nplayers = new_team\r\nPlayers = new_team_\r\ndef batsman_check():\r\n count = 0\r\n for i in batsman:\r\n if players[i].get() != 'Off':\r\n count += 1\r\n if count < 5:\r\n messagebox.showerror('Error' , 'Select ' + str(5 - count) + ' more batsman')\r\n elif count > 5:\r\n messagebox.showerror('Error' , 'Deselect the ' + str(count - 5) + ' extra batsman')\r\n\r\ndef all_rounder_check():\r\n count = 0\r\n for i in all_rounders:\r\n if players[i].get() != 'Off':\r\n count += 1\r\n if count < 2:\r\n messagebox.showerror('Error' , 'Select ' + str(2 - count) + ' more all rounder')\r\n elif count > 2:\r\n messagebox.showerror('Error' , 'Deselect the ' + str(count - 2) + ' extra all rounder')\r\n\r\ndef bowler_check():\r\n count = 0\r\n for i in bowlers:\r\n if players[i].get() != 'Off':\r\n count += 1\r\n if count < 4:\r\n messagebox.showerror('Error' , 'Select ' + str(4 - count) + ' more bowler')\r\n elif count > 4:\r\n messagebox.showerror('Error' , 'Deselect the ' + str(count - 4) + ' extra bowler')\r\n\r\ndef point_calculation():\r\n window_2 = Toplevel(root)\r\n window_2.geometry('400x400')\r\n window_2.title('Your Score')\r\n frame = Frame(window_2)\r\n frame.pack() \r\n score = 0\r\n k = 2\r\n for j in Players:\r\n if(j!='Off'):\r\n\r\n \r\n if(players[j].get()!='Off'):\r\n score += Players[players[j].get()]\r\n player_name = Label(frame,text=j,font = ('consolas' ,12))\r\n player_name.grid(sticky = NW , row = k , column = 1)\r\n points = Label(frame,text=str(Players[players[j].get()]),font = ('consolas' ,12 ))\r\n points.grid(sticky = NW , row = k , column = 2)\r\n k += 1\r\n\r\n line = Label(frame , text = '___')\r\n line.grid( sticky=NW , column=2)\r\n total_line = Label(frame , text = score , font = ('consolas' ,12))\r\n total_line.grid(sticky = NW ,column = 2)\r\n\r\nroot = Tk() \r\nroot.geometry(\"540x600\") \r\n\r\n\r\n\r\nlabel = Label(root , text = \"select 5 out of 10 batsman....\" ,font = ('consolas' ,10 ,'bold') )\r\nlabel.grid()\r\nj = 0\r\nfor i in batsman:\r\n players[i] = StringVar()\r\n button = Checkbutton(root , text = i, font = ('consolas' ,12) , variable = players[i] ,onvalue = i , offvalue = 'Off' )\r\n button.deselect()\r\n button.grid(sticky = NW , row = j//2 + 1 , column = j % 2)\r\n j += 1\r\n\r\nButton(root, text=\"Done\",command = batsman_check).grid()\r\n\r\nlabel = Label(root , text = \"select 2 out of 4 all rounders....\" ,font = ('consolas' ,10 ,'bold') )\r\nlabel.grid()\r\nj += 4\r\nfor i in all_rounders:\r\n players[i] = StringVar()\r\n button = Checkbutton(root , text = i, font = ('consolas' ,12) , variable = players[i] ,onvalue = i , offvalue = 'Off' )\r\n button.deselect()\r\n button.grid(sticky = NW , row = j//2 + 1 , column = j % 2)\r\n j += 1\r\n\r\nButton(root, text=\"Done\",command = all_rounder_check).grid()\r\n\r\nlabel = Label(root , text = \"select 4 out of 8 bowlers....\" ,font = ('consolas' ,10 ,'bold') )\r\nlabel.grid()\r\nj += 4\r\nfor i in bowlers:\r\n players[i] = StringVar()\r\n button = Checkbutton(root , text = i, font = ('consolas' ,12) , variable = players[i] ,onvalue = i , offvalue = 'Off' )\r\n button.deselect()\r\n button.grid(sticky = NW , row = j//2 + 1 , column = j % 2)\r\n j += 1\r\n\r\nButton(root, text=\"Done\",command = bowler_check).grid()\r\n\r\nButton(root, text=\"Your Points\",command = point_calculation).grid()\r\n\r\nmainloop()"},{"alpha_fraction":0.45429208874702454,"alphanum_fraction":0.47449833154678345,"avg_line_length":33.52475357055664,"blob_id":"15ceaae42b869fce8d42e48470c680b1221ce4b0","content_id":"5fb37655904759d2cfad727c65ada0a1298d1223","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":7176,"license_type":"no_license","max_line_length":118,"num_lines":202,"path":"/Live_Score (2).py","repo_name":"aayushdhakad/Fantasy-Cricket","src_encoding":"UTF-8","text":"import requests\r\nimport bs4\r\nfrom tkinter import *\r\nfrom tkinter.ttk import *\r\nfrom tkinter import messagebox\r\nfrom functools import partial\r\n\r\ndef fun(stats):\r\n arr = [30, 8, 8, 8, 8, 8]\r\n text = ''\r\n for i in range(6):\r\n text += stats[i]\r\n text += ' ' * (arr[i] - len(stats[i]))\r\n return text\r\n\r\ndef live_score(url):\r\n res = requests.get(url)\r\n bs = bs4.BeautifulSoup(res.text, 'html.parser')\r\n\r\n scores = bs.select('.cb-col .cb-col-67 .cb-scrs-wrp')\r\n if not scores:\r\n messagebox.showinfo('', \"Match not started yet....\" )\r\n else:\r\n window_3 = Toplevel()\r\n window_3.geometry('500x500')\r\n frame = Frame(window_3)\r\n frame.pack()\r\n\r\n # print(scores[0])\r\n data = scores[0].getText().split(' ')\r\n # print(data)\r\n if len(data) > 1:\r\n data_1 = data[1].split(' ')\r\n\r\n first_line = Label( frame, text=data[0], font=['calibri', 15, 'underline'], foreground='gray' )\r\n first_line.pack()\r\n\r\n second_line = Label(frame, text=data_1[0], font=('calibri', 17, 'bold'))\r\n second_line.pack()\r\n\r\n if len(data_1) == 4:\r\n crr_line = data_1[1].split(\"\\xa0\")\r\n crr_line_1 = data_1[2].split(\"\\xa0\")\r\n crr_line.extend(crr_line_1)\r\n\r\n rates = ' '\r\n for text in crr_line:\r\n rates += text\r\n rates += ' '\r\n crr = Label(frame, text=rates, font=('calibri', 10))\r\n crr.pack()\r\n\r\n third_line = Label(frame, text=data_1[3], font=('calibri', 12), foreground='red')\r\n third_line.pack()\r\n else:\r\n crr_line = data_1[1].split(\"\\xa0\")\r\n rates = ' '\r\n for text in crr_line:\r\n rates += text\r\n rates += ' '\r\n crr = Label(frame, text=rates, font=('calibri', 10))\r\n crr.pack()\r\n\r\n third_line = Label(frame, text=data_1[2], font=('calibri', 12), foreground='red')\r\n third_line.pack()\r\n else:\r\n\r\n data_1 = data[0].split(' ')\r\n # print(data_1)\r\n innings_line = Label(frame, text=\"First Innings...\", font=('calibri', 15, 'underline'), foreground='gray')\r\n innings_line.pack()\r\n\r\n first_line = Label(frame, text=data_1[1], font=('calibri', 17, 'bold'))\r\n first_line.pack()\r\n\r\n crr_line = data_1[2].split(\"\\xa0\")\r\n rates = ''\r\n for text in crr_line:\r\n if text != ' ':\r\n rates += text\r\n crr = Label(frame, text=rates, font=('calibri', 10))\r\n crr.pack()\r\n\r\n second_line = Label(frame, text=data_1[3], font=('calibri', 12), foreground='red')\r\n second_line.pack()\r\n\r\n display = 'Batsman R B 4s 6s SR '\r\n empty_line = Label(frame)\r\n empty_line.pack()\r\n empty_line = Label(frame)\r\n empty_line.pack()\r\n first_line = Label(frame, text=display, font=('consolas', 10, 'bold'), background='gray')\r\n first_line.pack()\r\n # print(url)\r\n new_url = url.split('-')\r\n\r\n for i in range(len(new_url)):\r\n if new_url[i] == 'cricket':\r\n break\r\n new_url[i + 1] = new_url[i + 1].split('/')\r\n new_url[i + 1][0] = 'scorecard'\r\n new_url[i + 1] = '/'.join(new_url[i + 1])\r\n new_url = '-'.join(new_url)\r\n\r\n # print(new_url)\r\n res = requests.get(new_url)\r\n bs_new = bs4.BeautifulSoup(res.text, 'html.parser')\r\n\r\n batting_stats = bs_new.find_all('div', class_=\"cb-col cb-col-100 cb-scrd-itms\")\r\n\r\n for i in batting_stats:\r\n l = i.getText().split(' ')\r\n # print(l)\r\n if len(l) == 2:\r\n data = [l[0]]\r\n data.extend(l[1].split(' '))\r\n # print(data)\r\n if data[1] == 'batting':\r\n stats = [data[0].strip()]\r\n stats.extend(data[2].split(' '))\r\n text = fun(stats)\r\n batsman = Label(frame, text=text, font=('consolas', 10))\r\n batsman.pack()\r\n else:\r\n break\r\n\r\n display = 'Bowler O M R W ECO '\r\n empty_line = Label(frame)\r\n empty_line.pack()\r\n first_line = Label(frame, text=display, font=('consolas', 10, 'bold'), background='gray')\r\n first_line.pack()\r\n\r\n bowlers = bs.find_all('div', class_=\"cb-col cb-col-50\")\r\n bls = []\r\n for i in bowlers:\r\n bls.append(i.getText())\r\n current_bowlers = bls[4:]\r\n\r\n bowling_stats = bs_new.find_all('div', class_=\"cb-col cb-col-100 cb-scrd-itms\")\r\n for i in bowling_stats:\r\n l = i.getText().strip().split(' ')\r\n if len(l) == 2 and l[0] in current_bowlers:\r\n data = l[1].split(' ')\r\n if len(data) == 7:\r\n stats = [l[0]]\r\n eco = data[-1]\r\n stats.extend(data[:4])\r\n stats.append(eco)\r\n text = fun(stats)\r\n bowlers = Label(frame, text=text, font=('consolas', 10))\r\n bowlers.pack()\r\n\r\n empty_line = Label(frame)\r\n empty_line.pack()\r\n\r\n comments = bs.find_all('p')\r\n # print(comments)\r\n live_comment = comments[3].getText()\r\n commentry = Message(frame, text=live_comment, font=('consolas', 12), foreground='blue', aspect='300')\r\n commentry.pack()\r\n\r\n\r\n reload_btn = Button(frame, text=\"RELOAD\", style='W.TButton',\r\n command=lambda: [window_3.destroy(), live_score(url)])\r\n reload_btn.pack()\r\n window_3.mainloop()\r\n\r\n\r\ndef live_matches(url):\r\n res = requests.get(url)\r\n bs = bs4.BeautifulSoup(res.text, 'html.parser')\r\n links = bs.find_all('a', class_='cb-lv-scrs-well cb-lv-scrs-well-live')\r\n\r\n window_2 = Toplevel(window)\r\n window_2.geometry('500x500')\r\n window_2.title('Matches')\r\n matches = []\r\n href_links = []\r\n if links == []:\r\n messagebox.showinfo(' ', \"Oops...\\nNo live match available\")\r\n else:\r\n for i in links:\r\n link = i.get('href')\r\n href_links.append(link)\r\n match = i.get('title')\r\n matches.append(match)\r\n btn = Button(window_2, text=match, style='W.TButton' ,\r\n command=partial(live_score, 'https://www.cricbuzz.com' + link))\r\n btn.pack()\r\n\r\n\r\nwindow = Tk()\r\nwindow.geometry('300x80')\r\nwindow.title(\"Live Matches\")\r\nstyle = Style()\r\nstyle.configure('W.TButton', font=\r\n('calibri', 12, 'bold'))\r\n\r\ninit_btn = Button(window, text='Available Matches', style='W.TButton')\r\ninit_btn.bind('<Button>', lambda x: live_matches('https://www.cricbuzz.com/cricket-match/live-scores'))\r\ninit_btn.place(relx=0.5, rely=0.2, anchor=CENTER)\r\nwindow.mainloop()\r\n"},{"alpha_fraction":0.47236084938049316,"alphanum_fraction":0.5069097876548767,"avg_line_length":21.89908218383789,"blob_id":"1f6ae569c8b361ca181d15811edda3135f4efabf","content_id":"ee84e881576408a819be2fb9f874c529c6558b84","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5210,"license_type":"no_license","max_line_length":113,"num_lines":218,"path":"/fantasy.py","repo_name":"aayushdhakad/Fantasy-Cricket","src_encoding":"UTF-8","text":"import requests\r\nimport bs4\r\n\r\ndef calculate(data ,is_batsman):\r\n points = 0\r\n\r\n # Batting points\r\n runs_scored = int(data[0])\r\n points += runs_scored\r\n\r\n if runs_scored >= 100:\r\n points += 16\r\n\r\n elif runs_scored >= 50 and runs_scored < 100:\r\n points += 8\r\n\r\n balls_played = int(data[1])\r\n\r\n fours = int(data[2])\r\n points += fours\r\n\r\n sixes = int(data[3])\r\n points += 2*sixes\r\n\r\n\r\n strike_rate = float(data[4])\r\n if balls_played > 10 and is_batsman:\r\n if strike_rate < 50:\r\n points -= 6\r\n elif strike_rate > 50 and strike_rate < 60:\r\n points -= 4\r\n elif strike_rate > 60 and strike_rate < 70:\r\n points -= 2\r\n\r\n # Bowling points \r\n overs = float(data[5])\r\n\r\n maidens = int(data[6])\r\n points += maidens*8\r\n\r\n wickets = int(data[8])\r\n points += wickets*25\r\n\r\n if wickets == 4:\r\n points += 8\r\n\r\n elif wickets == 5:\r\n points += 16\r\n\r\n economy = float(data[11])\r\n if overs >= 2:\r\n if economy <= 4:\r\n points += 6\r\n elif economy > 4 and economy <= 5:\r\n points += 4\r\n elif economy > 5 and economy <= 6:\r\n points += 2\r\n elif economy > 9 and economy <= 10:\r\n points -= 2\r\n elif economy > 10 and economy <= 11:\r\n points -= 4\r\n elif economy >= 11:\r\n points -= 6\r\n\r\n # Feilding points\r\n\r\n catch = int(data[12])\r\n points += catch*8\r\n\r\n run_out = int(data[13])\r\n points += run_out*6\r\n\r\n stumping = int(data[14])\r\n points += stumping*12\r\n\r\n if points < 0:\r\n points = 0\r\n return points\r\n\r\n\r\nurl = 'https://www.cricbuzz.com/live-cricket-scorecard/30545/aus-vs-ind-3rd-t20i-india-tour-of-australia-2020-21'\r\n\r\nres = requests.get(url)\r\nbs = bs4.BeautifulSoup(res.text,'html.parser')\r\n\r\nteams = bs.find_all('div', class_=\"cb-col cb-col-100 cb-minfo-tm-nm\")\r\nfor i in range(len(teams)):\r\n data = teams[i].getText()\r\n if i == 1:\r\n team_1 = data\r\n if i == 3:\r\n team_2 = data\r\n\r\n\r\nteam_1 = team_1.split(' ')[1].split(', ')\r\nteam_2 = team_2.split(' ')[1].split(', ')\r\nteam = []\r\nfor i in range(11):\r\n team.append(team_1[i])\r\n team.append(team_2[i])\r\n\r\nstats = bs.find_all('div', class_=\"cb-col cb-col-100 cb-scrd-itms\")\r\nl = []\r\nfor i in stats:\r\n data = i.getText()\r\n if data[:3] == ' ':\r\n l.append(data.strip())\r\n\r\nbatting_stats = []\r\nbowling_stats = []\r\nfor i in l:\r\n if len(i.split(' ')) == 2:\r\n batting_stats.append(i)\r\n else:\r\n bowling_stats.append(i)\r\n\r\nwickets = []\r\nnew_batting_stats = []\r\nfor batsman in batting_stats:\r\n splits = batsman.split(' ')\r\n name = [(splits[0].strip()).split(' ')[0]]\r\n wickets.append((splits[1].split(' ')[0]).strip())\r\n score = (splits[1].split(' ')[1]).strip()\r\n name.extend(score.split(' '))\r\n new_batting_stats.append(name)\r\n\r\n\r\n\r\nnew_bowling_stats = []\r\nfor bowler in bowling_stats:\r\n splits = bowler.split(' ')\r\n name = [(splits[0].strip()).split(' ')[0]]\r\n score = splits[1].split(' ')\r\n name.extend(score)\r\n new_bowling_stats.append(name)\r\n\r\n\r\ncatches = []\r\nrun_outs = []\r\nstumpings = []\r\nfor wicket in wickets:\r\n splits = wicket.split(' ')\r\n if splits[0] == 'c':\r\n player = splits[1].split(' ')[0]\r\n catches.append(player)\r\n if splits[0] == 'run':\r\n players = splits[2]\r\n players = players[1:len(players)].split('/')\r\n if len(players) == 1:\r\n player = players[0].split(' ')\r\n run_outs.append(player)\r\n run_outs.append(player)\r\n else:\r\n for p in players[:2]:\r\n player = p.split(' ')[0]\r\n run_outs.append(player)\r\n if splits[0] == 'st':\r\n player = splits[1].split(' ')[0]\r\n stumpings.append(player)\r\n\r\nteam[9] , team[11] = team[11] , team[9]\r\n\r\nbatsman = team[:10]\r\nall_rounders = team[10:14]\r\nbowlers = team[14:]\r\n\r\nnew_team = {}\r\nfor i in range(22):\r\n player = team[i].split(' ')\r\n\r\n if '(wk)' in player or '(c)' in player:\r\n team[i] = ' '.join(player[:-1])\r\n if i in range(10):\r\n batsman[i] = ' '.join(player[:-1])\r\n elif i in range(10,14):\r\n all_rounders[i-10] = ' '.join(player[:-1])\r\n else:\r\n bowler[i-14] = ' '.join(player[:-1])\r\n data = []\r\n\r\n\r\n for stats in new_batting_stats:\r\n if stats[0] in player:\r\n data.extend(stats[1:])\r\n\r\n if len(data) == 0:\r\n data.extend(['0']*5)\r\n\r\n for stats in new_bowling_stats:\r\n if stats[0] in player:\r\n data.extend(stats[1:])\r\n\r\n if len(data) == 5:\r\n data.extend(['0']*7)\r\n\r\n for p in player:\r\n if p in catches:\r\n break\r\n data.append(str(catches.count(p)))\r\n\r\n for p in player:\r\n if p in run_outs:\r\n break\r\n data.append(str(run_outs.count(p)))\r\n\r\n for p in player:\r\n if p in stumpings:\r\n break\r\n data.append(str(stumpings.count(p)))\r\n \r\n new_team[team[i]] = calculate(data ,team[i] not in bowlers)\r\n\r\n\r\nnew_team['Off'] = 0\r\n\r\nnew_team_ = {}\r\nfor i in new_team:\r\n new_team_[i] = new_team[i]\r\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5278246402740479,\n \"alphanum_fraction\": 0.5505902171134949,\n \"avg_line_length\": 31.904762268066406,\n \"blob_id\": \"aab475fad5acad2d840c4c30fb803206a7d1d49c\",\n \"content_id\": \"b567356f91083236a376757cb861e4dff3d12211\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3558,\n \"license_type\": \"no_license\",\n \"max_line_length\": 123,\n \"num_lines\": 105,\n \"path\": \"/live.py\",\n \"repo_name\": \"aayushdhakad/Fantasy-Cricket\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from tkinter import *\\r\\nfrom fantasy import *\\r\\nfrom tkinter import messagebox\\r\\n\\r\\nplayers = new_team\\r\\nPlayers = new_team_\\r\\ndef batsman_check():\\r\\n count = 0\\r\\n for i in batsman:\\r\\n if players[i].get() != 'Off':\\r\\n count += 1\\r\\n if count < 5:\\r\\n messagebox.showerror('Error' , 'Select ' + str(5 - count) + ' more batsman')\\r\\n elif count > 5:\\r\\n messagebox.showerror('Error' , 'Deselect the ' + str(count - 5) + ' extra batsman')\\r\\n\\r\\ndef all_rounder_check():\\r\\n count = 0\\r\\n for i in all_rounders:\\r\\n if players[i].get() != 'Off':\\r\\n count += 1\\r\\n if count < 2:\\r\\n messagebox.showerror('Error' , 'Select ' + str(2 - count) + ' more all rounder')\\r\\n elif count > 2:\\r\\n messagebox.showerror('Error' , 'Deselect the ' + str(count - 2) + ' extra all rounder')\\r\\n\\r\\ndef bowler_check():\\r\\n count = 0\\r\\n for i in bowlers:\\r\\n if players[i].get() != 'Off':\\r\\n count += 1\\r\\n if count < 4:\\r\\n messagebox.showerror('Error' , 'Select ' + str(4 - count) + ' more bowler')\\r\\n elif count > 4:\\r\\n messagebox.showerror('Error' , 'Deselect the ' + str(count - 4) + ' extra bowler')\\r\\n\\r\\ndef point_calculation():\\r\\n window_2 = Toplevel(root)\\r\\n window_2.geometry('400x400')\\r\\n window_2.title('Your Score')\\r\\n frame = Frame(window_2)\\r\\n frame.pack() \\r\\n score = 0\\r\\n k = 2\\r\\n for j in Players:\\r\\n if(j!='Off'):\\r\\n\\r\\n \\r\\n if(players[j].get()!='Off'):\\r\\n score += Players[players[j].get()]\\r\\n player_name = Label(frame,text=j,font = ('consolas' ,12))\\r\\n player_name.grid(sticky = NW , row = k , column = 1)\\r\\n points = Label(frame,text=str(Players[players[j].get()]),font = ('consolas' ,12 ))\\r\\n points.grid(sticky = NW , row = k , column = 2)\\r\\n k += 1\\r\\n\\r\\n line = Label(frame , text = '___')\\r\\n line.grid( sticky=NW , column=2)\\r\\n total_line = Label(frame , text = score , font = ('consolas' ,12))\\r\\n total_line.grid(sticky = NW ,column = 2)\\r\\n\\r\\nroot = Tk() \\r\\nroot.geometry(\\\"540x600\\\") \\r\\n\\r\\n\\r\\n\\r\\nlabel = Label(root , text = \\\"select 5 out of 10 batsman....\\\" ,font = ('consolas' ,10 ,'bold') )\\r\\nlabel.grid()\\r\\nj = 0\\r\\nfor i in batsman:\\r\\n players[i] = StringVar()\\r\\n button = Checkbutton(root , text = i, font = ('consolas' ,12) , variable = players[i] ,onvalue = i , offvalue = 'Off' )\\r\\n button.deselect()\\r\\n button.grid(sticky = NW , row = j//2 + 1 , column = j % 2)\\r\\n j += 1\\r\\n\\r\\nButton(root, text=\\\"Done\\\",command = batsman_check).grid()\\r\\n\\r\\nlabel = Label(root , text = \\\"select 2 out of 4 all rounders....\\\" ,font = ('consolas' ,10 ,'bold') )\\r\\nlabel.grid()\\r\\nj += 4\\r\\nfor i in all_rounders:\\r\\n players[i] = StringVar()\\r\\n button = Checkbutton(root , text = i, font = ('consolas' ,12) , variable = players[i] ,onvalue = i , offvalue = 'Off' )\\r\\n button.deselect()\\r\\n button.grid(sticky = NW , row = j//2 + 1 , column = j % 2)\\r\\n j += 1\\r\\n\\r\\nButton(root, text=\\\"Done\\\",command = all_rounder_check).grid()\\r\\n\\r\\nlabel = Label(root , text = \\\"select 4 out of 8 bowlers....\\\" ,font = ('consolas' ,10 ,'bold') )\\r\\nlabel.grid()\\r\\nj += 4\\r\\nfor i in bowlers:\\r\\n players[i] = StringVar()\\r\\n button = Checkbutton(root , text = i, font = ('consolas' ,12) , variable = players[i] ,onvalue = i , offvalue = 'Off' )\\r\\n button.deselect()\\r\\n button.grid(sticky = NW , row = j//2 + 1 , column = j % 2)\\r\\n j += 1\\r\\n\\r\\nButton(root, text=\\\"Done\\\",command = bowler_check).grid()\\r\\n\\r\\nButton(root, text=\\\"Your Points\\\",command = point_calculation).grid()\\r\\n\\r\\nmainloop()\"\n },\n {\n \"alpha_fraction\": 0.45429208874702454,\n \"alphanum_fraction\": 0.47449833154678345,\n \"avg_line_length\": 33.52475357055664,\n \"blob_id\": \"15ceaae42b869fce8d42e48470c680b1221ce4b0\",\n \"content_id\": \"5fb37655904759d2cfad727c65ada0a1298d1223\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 7176,\n \"license_type\": \"no_license\",\n \"max_line_length\": 118,\n \"num_lines\": 202,\n \"path\": \"/Live_Score (2).py\",\n \"repo_name\": \"aayushdhakad/Fantasy-Cricket\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import requests\\r\\nimport bs4\\r\\nfrom tkinter import *\\r\\nfrom tkinter.ttk import *\\r\\nfrom tkinter import messagebox\\r\\nfrom functools import partial\\r\\n\\r\\ndef fun(stats):\\r\\n arr = [30, 8, 8, 8, 8, 8]\\r\\n text = ''\\r\\n for i in range(6):\\r\\n text += stats[i]\\r\\n text += ' ' * (arr[i] - len(stats[i]))\\r\\n return text\\r\\n\\r\\ndef live_score(url):\\r\\n res = requests.get(url)\\r\\n bs = bs4.BeautifulSoup(res.text, 'html.parser')\\r\\n\\r\\n scores = bs.select('.cb-col .cb-col-67 .cb-scrs-wrp')\\r\\n if not scores:\\r\\n messagebox.showinfo('', \\\"Match not started yet....\\\" )\\r\\n else:\\r\\n window_3 = Toplevel()\\r\\n window_3.geometry('500x500')\\r\\n frame = Frame(window_3)\\r\\n frame.pack()\\r\\n\\r\\n # print(scores[0])\\r\\n data = scores[0].getText().split(' ')\\r\\n # print(data)\\r\\n if len(data) > 1:\\r\\n data_1 = data[1].split(' ')\\r\\n\\r\\n first_line = Label( frame, text=data[0], font=['calibri', 15, 'underline'], foreground='gray' )\\r\\n first_line.pack()\\r\\n\\r\\n second_line = Label(frame, text=data_1[0], font=('calibri', 17, 'bold'))\\r\\n second_line.pack()\\r\\n\\r\\n if len(data_1) == 4:\\r\\n crr_line = data_1[1].split(\\\"\\\\xa0\\\")\\r\\n crr_line_1 = data_1[2].split(\\\"\\\\xa0\\\")\\r\\n crr_line.extend(crr_line_1)\\r\\n\\r\\n rates = ' '\\r\\n for text in crr_line:\\r\\n rates += text\\r\\n rates += ' '\\r\\n crr = Label(frame, text=rates, font=('calibri', 10))\\r\\n crr.pack()\\r\\n\\r\\n third_line = Label(frame, text=data_1[3], font=('calibri', 12), foreground='red')\\r\\n third_line.pack()\\r\\n else:\\r\\n crr_line = data_1[1].split(\\\"\\\\xa0\\\")\\r\\n rates = ' '\\r\\n for text in crr_line:\\r\\n rates += text\\r\\n rates += ' '\\r\\n crr = Label(frame, text=rates, font=('calibri', 10))\\r\\n crr.pack()\\r\\n\\r\\n third_line = Label(frame, text=data_1[2], font=('calibri', 12), foreground='red')\\r\\n third_line.pack()\\r\\n else:\\r\\n\\r\\n data_1 = data[0].split(' ')\\r\\n # print(data_1)\\r\\n innings_line = Label(frame, text=\\\"First Innings...\\\", font=('calibri', 15, 'underline'), foreground='gray')\\r\\n innings_line.pack()\\r\\n\\r\\n first_line = Label(frame, text=data_1[1], font=('calibri', 17, 'bold'))\\r\\n first_line.pack()\\r\\n\\r\\n crr_line = data_1[2].split(\\\"\\\\xa0\\\")\\r\\n rates = ''\\r\\n for text in crr_line:\\r\\n if text != ' ':\\r\\n rates += text\\r\\n crr = Label(frame, text=rates, font=('calibri', 10))\\r\\n crr.pack()\\r\\n\\r\\n second_line = Label(frame, text=data_1[3], font=('calibri', 12), foreground='red')\\r\\n second_line.pack()\\r\\n\\r\\n display = 'Batsman R B 4s 6s SR '\\r\\n empty_line = Label(frame)\\r\\n empty_line.pack()\\r\\n empty_line = Label(frame)\\r\\n empty_line.pack()\\r\\n first_line = Label(frame, text=display, font=('consolas', 10, 'bold'), background='gray')\\r\\n first_line.pack()\\r\\n # print(url)\\r\\n new_url = url.split('-')\\r\\n\\r\\n for i in range(len(new_url)):\\r\\n if new_url[i] == 'cricket':\\r\\n break\\r\\n new_url[i + 1] = new_url[i + 1].split('/')\\r\\n new_url[i + 1][0] = 'scorecard'\\r\\n new_url[i + 1] = '/'.join(new_url[i + 1])\\r\\n new_url = '-'.join(new_url)\\r\\n\\r\\n # print(new_url)\\r\\n res = requests.get(new_url)\\r\\n bs_new = bs4.BeautifulSoup(res.text, 'html.parser')\\r\\n\\r\\n batting_stats = bs_new.find_all('div', class_=\\\"cb-col cb-col-100 cb-scrd-itms\\\")\\r\\n\\r\\n for i in batting_stats:\\r\\n l = i.getText().split(' ')\\r\\n # print(l)\\r\\n if len(l) == 2:\\r\\n data = [l[0]]\\r\\n data.extend(l[1].split(' '))\\r\\n # print(data)\\r\\n if data[1] == 'batting':\\r\\n stats = [data[0].strip()]\\r\\n stats.extend(data[2].split(' '))\\r\\n text = fun(stats)\\r\\n batsman = Label(frame, text=text, font=('consolas', 10))\\r\\n batsman.pack()\\r\\n else:\\r\\n break\\r\\n\\r\\n display = 'Bowler O M R W ECO '\\r\\n empty_line = Label(frame)\\r\\n empty_line.pack()\\r\\n first_line = Label(frame, text=display, font=('consolas', 10, 'bold'), background='gray')\\r\\n first_line.pack()\\r\\n\\r\\n bowlers = bs.find_all('div', class_=\\\"cb-col cb-col-50\\\")\\r\\n bls = []\\r\\n for i in bowlers:\\r\\n bls.append(i.getText())\\r\\n current_bowlers = bls[4:]\\r\\n\\r\\n bowling_stats = bs_new.find_all('div', class_=\\\"cb-col cb-col-100 cb-scrd-itms\\\")\\r\\n for i in bowling_stats:\\r\\n l = i.getText().strip().split(' ')\\r\\n if len(l) == 2 and l[0] in current_bowlers:\\r\\n data = l[1].split(' ')\\r\\n if len(data) == 7:\\r\\n stats = [l[0]]\\r\\n eco = data[-1]\\r\\n stats.extend(data[:4])\\r\\n stats.append(eco)\\r\\n text = fun(stats)\\r\\n bowlers = Label(frame, text=text, font=('consolas', 10))\\r\\n bowlers.pack()\\r\\n\\r\\n empty_line = Label(frame)\\r\\n empty_line.pack()\\r\\n\\r\\n comments = bs.find_all('p')\\r\\n # print(comments)\\r\\n live_comment = comments[3].getText()\\r\\n commentry = Message(frame, text=live_comment, font=('consolas', 12), foreground='blue', aspect='300')\\r\\n commentry.pack()\\r\\n\\r\\n\\r\\n reload_btn = Button(frame, text=\\\"RELOAD\\\", style='W.TButton',\\r\\n command=lambda: [window_3.destroy(), live_score(url)])\\r\\n reload_btn.pack()\\r\\n window_3.mainloop()\\r\\n\\r\\n\\r\\ndef live_matches(url):\\r\\n res = requests.get(url)\\r\\n bs = bs4.BeautifulSoup(res.text, 'html.parser')\\r\\n links = bs.find_all('a', class_='cb-lv-scrs-well cb-lv-scrs-well-live')\\r\\n\\r\\n window_2 = Toplevel(window)\\r\\n window_2.geometry('500x500')\\r\\n window_2.title('Matches')\\r\\n matches = []\\r\\n href_links = []\\r\\n if links == []:\\r\\n messagebox.showinfo(' ', \\\"Oops...\\\\nNo live match available\\\")\\r\\n else:\\r\\n for i in links:\\r\\n link = i.get('href')\\r\\n href_links.append(link)\\r\\n match = i.get('title')\\r\\n matches.append(match)\\r\\n btn = Button(window_2, text=match, style='W.TButton' ,\\r\\n command=partial(live_score, 'https://www.cricbuzz.com' + link))\\r\\n btn.pack()\\r\\n\\r\\n\\r\\nwindow = Tk()\\r\\nwindow.geometry('300x80')\\r\\nwindow.title(\\\"Live Matches\\\")\\r\\nstyle = Style()\\r\\nstyle.configure('W.TButton', font=\\r\\n('calibri', 12, 'bold'))\\r\\n\\r\\ninit_btn = Button(window, text='Available Matches', style='W.TButton')\\r\\ninit_btn.bind('<Button>', lambda x: live_matches('https://www.cricbuzz.com/cricket-match/live-scores'))\\r\\ninit_btn.place(relx=0.5, rely=0.2, anchor=CENTER)\\r\\nwindow.mainloop()\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.47236084938049316,\n \"alphanum_fraction\": 0.5069097876548767,\n \"avg_line_length\": 21.89908218383789,\n \"blob_id\": \"1f6ae569c8b361ca181d15811edda3135f4efabf\",\n \"content_id\": \"ee84e881576408a819be2fb9f874c529c6558b84\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5210,\n \"license_type\": \"no_license\",\n \"max_line_length\": 113,\n \"num_lines\": 218,\n \"path\": \"/fantasy.py\",\n \"repo_name\": \"aayushdhakad/Fantasy-Cricket\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import requests\\r\\nimport bs4\\r\\n\\r\\ndef calculate(data ,is_batsman):\\r\\n points = 0\\r\\n\\r\\n # Batting points\\r\\n runs_scored = int(data[0])\\r\\n points += runs_scored\\r\\n\\r\\n if runs_scored >= 100:\\r\\n points += 16\\r\\n\\r\\n elif runs_scored >= 50 and runs_scored < 100:\\r\\n points += 8\\r\\n\\r\\n balls_played = int(data[1])\\r\\n\\r\\n fours = int(data[2])\\r\\n points += fours\\r\\n\\r\\n sixes = int(data[3])\\r\\n points += 2*sixes\\r\\n\\r\\n\\r\\n strike_rate = float(data[4])\\r\\n if balls_played > 10 and is_batsman:\\r\\n if strike_rate < 50:\\r\\n points -= 6\\r\\n elif strike_rate > 50 and strike_rate < 60:\\r\\n points -= 4\\r\\n elif strike_rate > 60 and strike_rate < 70:\\r\\n points -= 2\\r\\n\\r\\n # Bowling points \\r\\n overs = float(data[5])\\r\\n\\r\\n maidens = int(data[6])\\r\\n points += maidens*8\\r\\n\\r\\n wickets = int(data[8])\\r\\n points += wickets*25\\r\\n\\r\\n if wickets == 4:\\r\\n points += 8\\r\\n\\r\\n elif wickets == 5:\\r\\n points += 16\\r\\n\\r\\n economy = float(data[11])\\r\\n if overs >= 2:\\r\\n if economy <= 4:\\r\\n points += 6\\r\\n elif economy > 4 and economy <= 5:\\r\\n points += 4\\r\\n elif economy > 5 and economy <= 6:\\r\\n points += 2\\r\\n elif economy > 9 and economy <= 10:\\r\\n points -= 2\\r\\n elif economy > 10 and economy <= 11:\\r\\n points -= 4\\r\\n elif economy >= 11:\\r\\n points -= 6\\r\\n\\r\\n # Feilding points\\r\\n\\r\\n catch = int(data[12])\\r\\n points += catch*8\\r\\n\\r\\n run_out = int(data[13])\\r\\n points += run_out*6\\r\\n\\r\\n stumping = int(data[14])\\r\\n points += stumping*12\\r\\n\\r\\n if points < 0:\\r\\n points = 0\\r\\n return points\\r\\n\\r\\n\\r\\nurl = 'https://www.cricbuzz.com/live-cricket-scorecard/30545/aus-vs-ind-3rd-t20i-india-tour-of-australia-2020-21'\\r\\n\\r\\nres = requests.get(url)\\r\\nbs = bs4.BeautifulSoup(res.text,'html.parser')\\r\\n\\r\\nteams = bs.find_all('div', class_=\\\"cb-col cb-col-100 cb-minfo-tm-nm\\\")\\r\\nfor i in range(len(teams)):\\r\\n data = teams[i].getText()\\r\\n if i == 1:\\r\\n team_1 = data\\r\\n if i == 3:\\r\\n team_2 = data\\r\\n\\r\\n\\r\\nteam_1 = team_1.split(' ')[1].split(', ')\\r\\nteam_2 = team_2.split(' ')[1].split(', ')\\r\\nteam = []\\r\\nfor i in range(11):\\r\\n team.append(team_1[i])\\r\\n team.append(team_2[i])\\r\\n\\r\\nstats = bs.find_all('div', class_=\\\"cb-col cb-col-100 cb-scrd-itms\\\")\\r\\nl = []\\r\\nfor i in stats:\\r\\n data = i.getText()\\r\\n if data[:3] == ' ':\\r\\n l.append(data.strip())\\r\\n\\r\\nbatting_stats = []\\r\\nbowling_stats = []\\r\\nfor i in l:\\r\\n if len(i.split(' ')) == 2:\\r\\n batting_stats.append(i)\\r\\n else:\\r\\n bowling_stats.append(i)\\r\\n\\r\\nwickets = []\\r\\nnew_batting_stats = []\\r\\nfor batsman in batting_stats:\\r\\n splits = batsman.split(' ')\\r\\n name = [(splits[0].strip()).split(' ')[0]]\\r\\n wickets.append((splits[1].split(' ')[0]).strip())\\r\\n score = (splits[1].split(' ')[1]).strip()\\r\\n name.extend(score.split(' '))\\r\\n new_batting_stats.append(name)\\r\\n\\r\\n\\r\\n\\r\\nnew_bowling_stats = []\\r\\nfor bowler in bowling_stats:\\r\\n splits = bowler.split(' ')\\r\\n name = [(splits[0].strip()).split(' ')[0]]\\r\\n score = splits[1].split(' ')\\r\\n name.extend(score)\\r\\n new_bowling_stats.append(name)\\r\\n\\r\\n\\r\\ncatches = []\\r\\nrun_outs = []\\r\\nstumpings = []\\r\\nfor wicket in wickets:\\r\\n splits = wicket.split(' ')\\r\\n if splits[0] == 'c':\\r\\n player = splits[1].split(' ')[0]\\r\\n catches.append(player)\\r\\n if splits[0] == 'run':\\r\\n players = splits[2]\\r\\n players = players[1:len(players)].split('/')\\r\\n if len(players) == 1:\\r\\n player = players[0].split(' ')\\r\\n run_outs.append(player)\\r\\n run_outs.append(player)\\r\\n else:\\r\\n for p in players[:2]:\\r\\n player = p.split(' ')[0]\\r\\n run_outs.append(player)\\r\\n if splits[0] == 'st':\\r\\n player = splits[1].split(' ')[0]\\r\\n stumpings.append(player)\\r\\n\\r\\nteam[9] , team[11] = team[11] , team[9]\\r\\n\\r\\nbatsman = team[:10]\\r\\nall_rounders = team[10:14]\\r\\nbowlers = team[14:]\\r\\n\\r\\nnew_team = {}\\r\\nfor i in range(22):\\r\\n player = team[i].split(' ')\\r\\n\\r\\n if '(wk)' in player or '(c)' in player:\\r\\n team[i] = ' '.join(player[:-1])\\r\\n if i in range(10):\\r\\n batsman[i] = ' '.join(player[:-1])\\r\\n elif i in range(10,14):\\r\\n all_rounders[i-10] = ' '.join(player[:-1])\\r\\n else:\\r\\n bowler[i-14] = ' '.join(player[:-1])\\r\\n data = []\\r\\n\\r\\n\\r\\n for stats in new_batting_stats:\\r\\n if stats[0] in player:\\r\\n data.extend(stats[1:])\\r\\n\\r\\n if len(data) == 0:\\r\\n data.extend(['0']*5)\\r\\n\\r\\n for stats in new_bowling_stats:\\r\\n if stats[0] in player:\\r\\n data.extend(stats[1:])\\r\\n\\r\\n if len(data) == 5:\\r\\n data.extend(['0']*7)\\r\\n\\r\\n for p in player:\\r\\n if p in catches:\\r\\n break\\r\\n data.append(str(catches.count(p)))\\r\\n\\r\\n for p in player:\\r\\n if p in run_outs:\\r\\n break\\r\\n data.append(str(run_outs.count(p)))\\r\\n\\r\\n for p in player:\\r\\n if p in stumpings:\\r\\n break\\r\\n data.append(str(stumpings.count(p)))\\r\\n \\r\\n new_team[team[i]] = calculate(data ,team[i] not in bowlers)\\r\\n\\r\\n\\r\\nnew_team['Off'] = 0\\r\\n\\r\\nnew_team_ = {}\\r\\nfor i in new_team:\\r\\n new_team_[i] = new_team[i]\\r\\n\"\n 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like","value":[{"alpha_fraction":0.5030156970024109,"alphanum_fraction":0.5217128992080688,"avg_line_length":19.469135284423828,"blob_id":"8937013ab24ca40670342ef74a9202f45a5a628d","content_id":"375475e7f2fb19f219f74de36bc3a58a570366d3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":1659,"license_type":"no_license","max_line_length":93,"num_lines":81,"path":"/asyncnet/asyncnet/lambdastuff.h","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"//\n// lambdastuff.h\n// asyncnet\n//\n// Created by Ólafur Jóhannsson on 06/11/16.\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\n//\n\n#ifndef lambdastuff_h\n#define lambdastuff_h\n\n\nauto filterDigit = [] (std::string value) -> bool {\n return !value.empty() && std::find_if(value.begin(), value.end(), [](char c) {\n return !std::isdigit(c);\n }) == value.end();\n};\n\nbool isdigit1(std::string s) {\n return false;\n}\n\nbool filterDigit2(std::string value) {\n std::string::const_iterator it;\n for (it = value.begin(); it != value.end() && std::isdigit(*it); ++it)\n ;\n return !value.empty() && it == value.end();\n}\n\nvector<int> vec;\n\ntemplate<typename Func>\nstd::vector<int> find(Func func)\n{\n std::vector<int> result;\n for_each(vec.begin(), vec.end(), [&] (int v) {\n if (func(v)) {\n result.push_back(v);\n }\n });\n return result;\n}\n\nint find2(std::function<bool (int)> func) {\n for_each(vec.begin(), vec.end(), [=] (int v) {\n \n });\n return 0;\n}\n\nint test() {\n \n // lambda to automatic var\n auto print = [] (int value) -> void { std::cout << std::to_string(value) << std::endl; };\n \n // lambda to function pointer\n typedef int (*fn)();\n fn f = [] () -> int32_t { return 1337; };\n \n // lambda to std::function\n std::function<int ()> function = [] () -> int32_t {\n return 1000;\n };\n \n \n vec.push_back(function());\n vec.push_back(f());\n \n for_each(vec.begin(), vec.end(), [&] (int v) {\n print(v);\n });\n auto fff = find([] (int v) {\n return v == 1000;\n });\n \n \n \n return 0;\n}\n\n#endif /* lambdastuff_h */\n"},{"alpha_fraction":0.4277879297733307,"alphanum_fraction":0.4346435070037842,"avg_line_length":19.828571319580078,"blob_id":"dcd577b12de0b854c96dbf3d694bf7f6ec7f5a12","content_id":"f542cb1499fd9d117949f833daf2758d73bc2648","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":2188,"license_type":"no_license","max_line_length":94,"num_lines":105,"path":"/asyncnet/asyncnet/test.cpp","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"\n/*\n C includes\n*/\n#include <ctype.h>\n#include <stdio.h>\n#include <stdlib.h>\n\n/*\n C++ STL includes\n*/\n#include <iostream>\n#include <thread>\n#include <chrono>\n#include <vector>\n#include <string>\n#include <functional>\n\n/*\n Local header includes\n*/\n#include \"socket.h\"\n\n\nstd::string displayOptions() {\n return std::string(\n \"1: Enter hostname\\n\" \\\n \"2: Write data\\n\" \\\n \"3: Read data\\n\" \\\n \"4: Get address information\\n\" \\\n \"\\n\"\n );\n}\n\n\n#include \"subscriber.h\"\n\nint main()\n{\n \n subscriber sub;\n \n return 0;\n /////////\n Socket s(80);\n if (s.Connect(\"visir.is\")) {\n s.Write(\"test\");\n std::cout << s.Read() << std::endl;\n }\n \n return 0;\n int32_t input, port;\n std::string hostname, address;\n bool connected = false;\n \n std::cout << \"Creating socket, please input port: \";\n std::cin >> port;\n std::cout << \"Setting up socket on port \" << port << std::endl;\n Socket sock(port);\n\n for (;;) {\n std::cout << displayOptions();\n std::cin >> input;\n std::cin.clear();\n \n \n\n switch (input) {\n case 1:\n std::cout << \"Enter hostname: \";\n std::cin >> hostname;\n \n if ((connected = sock.Connect(hostname.c_str()))) {\n std::cout << \"Successfully connected to \" << hostname << std::endl;\n }\n else { \n std::cout << \"Could not establish connection\\n\";\n }\n break;\n \n case 2:\n std::cout << \"Data: \";\n if (sock.Write(std::string(std::istreambuf_iterator<char>(std::cin), {})) > 0)\n {\n std::cout << \"Response: \" << sock.Read() << std::endl;\n }\n \n break;\n \n case 4:\n std::cout << \"Enter address name:\";\n \n std::cin >> address;\n sock.Getaddrinfo(address);\n\n\n\n break;\n\n default:\n continue;\n };\n }\n\n return 0;\n}\n"},{"alpha_fraction":0.45125818252563477,"alphanum_fraction":0.4614083170890808,"avg_line_length":28.012269973754883,"blob_id":"15afbd94412da4734a743627fc6b9d19d940db64","content_id":"885daf43724e547aa12020b887b80231f348ee4e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":4730,"license_type":"no_license","max_line_length":103,"num_lines":163,"path":"/asyncnet/asyncnet/socket.h","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"#include <stdio.h>\n#include <errno.h>\n#include <stdlib.h>\n#include <unistd.h>\n#include <string.h>\n#include <sys/types.h>\n#include <sys/socket.h>\n#include <netinet/in.h>\n#include <arpa/inet.h>\n#include <netdb.h>\n#include <sys/ioctl.h>\n#include <iostream>\n#include <string>\n#include <zmq.hpp>\n\nusing namespace std;\n\nclass SocketConnectException: public exception\n{\n virtual const char* what() const throw()\n {\n return \"Socket could not establish connection\";\n }\n} myex;\n\nclass Socket\n{\n int32_t sock_fd;\n struct sockaddr_in servername;\n\n public:\n\n Socket(uint32_t port) \n {\n // init socket file descriptor\n sock_fd = socket(PF_INET, SOCK_STREAM, 0);\n\n // file descriptor fail\n if (sock_fd < 0) {\n return;\n }\n\n /*\n AF_INET: Address Family\n htons: Host to network short\n */\n servername.sin_family = AF_INET;\n servername.sin_port = htons(port);\n };\n\n bool Connect(const char *hostname) {\n struct hostent *hostinfo = gethostbyname(hostname);\n \n // host not found\n if (hostinfo == NULL) {\n return false;\n }\n\n servername.sin_addr = *(struct in_addr *) hostinfo->h_addr;\n\n if (0 > connect(sock_fd, (struct sockaddr *)&servername, sizeof(servername))) {\n return false;\n }\n \n return true;\n }\n\n bool Close() \n { \n close(sock_fd); \n sock_fd = 0;\n return true; \n }\n\n ssize_t Write(std::string value)\n {\n // Write to socket file descriptor\n char buff[128];\n sprintf(buff, \"test\");\n ssize_t nbytes = ::write(sock_fd, buff, 128); //value.c_str(), strlen(value.c_str()) + 1);\n \n return nbytes < 0 ? 0 : nbytes;\n }\n\n void Getaddrinfo(std::string address) {\n int status;\n struct addrinfo hints, *servinfo, *p;\n char ipstr[INET6_ADDRSTRLEN];\n\n memset(&hints, 0x00, sizeof(hints));\n hints.ai_family = AF_UNSPEC; // ipv4 or ipv6\n hints.ai_socktype = SOCK_STREAM; // tcp socket\n hints.ai_flags = AI_PASSIVE; // fill in my ip for me\n\n if ((status = getaddrinfo(address.c_str(), \"80\", &hints, &servinfo)) != 0) {\n printf(\"getaddrinfo err: %s\\n\", gai_strerror(status));\n exit(1); \n }\n // servinfo now points to a linked list of 1 or more struct addrinfos\n for (p = servinfo; p != NULL; p = p->ai_next) {\n void *addr;\n char *ipver;\n\n if (p->ai_family == AF_INET) {\n struct sockaddr_in *ipv4 = (struct sockaddr_in *)p->ai_addr;\n addr = &(ipv4->sin_addr);\n ipver = &std::string(\"IPv4\")[0];\n }\n else {\n // IPv6\n \n }\n // convert IP to str\n inet_ntop(p->ai_family, addr, ipstr, sizeof(ipstr));\n \n std::cout << \"IP: \" << ipver << \"Str: \" << ipstr << std::endl;\n }\n // ... do everything until you don't need servinfo anymore ....\n\n freeaddrinfo(servinfo); // free the linked-list\n std::cout << \"returning from Getaddrinfo()\\n\";\n exit(0);\n }\n\n const std::string Read() \n {\n size_t chunk_size = 256;\n ssize_t bytes_read;\n char buff[chunk_size];\n printf(\"starting to read\\n\");\n while ((bytes_read = ::read(this->sock_fd, &buff, chunk_size) > 0)) {\n printf(\"bytes_read: %d, buffer: %s\\n\", bytes_read, buff);\n }\n printf(\"done\\n\");\n return \"\";\n \n ssize_t nbytes = 1024;°\n\n //ioctl(sock_fd, FIONREAD, &nbytes);\n char *buffer = new char[nbytes];\n memset(buffer, 0x00, nbytes);\n \n if (sock_fd > 0) {\n nbytes = ::read(sock_fd, buffer, nbytes);\n std::cout << \"nbytes read \" << nbytes << std::endl;\n }\n else {\n std::cout << \"Socket descriptor is invalid\\n\";\n }\n\n if (nbytes < 0) {\n printf(\"no bytes read\\n\");\n }\n else if (nbytes == 0) {\n printf(\"EOF\\n\");\n }\n \n std::string strBuffer(buffer);\n delete[] buffer;\n\n return strBuffer;\n }\n};\n"},{"alpha_fraction":0.6236559152603149,"alphanum_fraction":0.6487455368041992,"avg_line_length":13.307692527770996,"blob_id":"a1d4a41aee400fa6b04b9be2e6cbb3917b72b85f","content_id":"c64bf7158eaf164818950ffd5eaed9a2d42a1f7b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":559,"license_type":"no_license","max_line_length":56,"num_lines":39,"path":"/asyncnet/asyncnet/connector.h","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"//\n// connector.h\n// asyncnet\n//\n// Created by Ólafur Jóhannsson on 06/11/16.\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\n//\n\n#ifndef connector_h\n#define connector_h\n\n#include \"socket.h\"\n\n// functor\ntemplate<Func>\nbool doConnect(std::string port, Func fn)\n{\n return fn(port);\n}\n\n// virtual function\nclass IConnector\n{\n virtual bool connect(std::string port) = 0;\n};\n\nbool doConnect (std::string port, IConnector *connector)\n{\n return connector->connect(port);\n}\n\n\n// tests\nvoid test() {\n \n doConnect(\"123\", nullptr);\n}\n\n#endif /* connector_h */\n"},{"alpha_fraction":0.5625,"alphanum_fraction":0.5992646813392639,"avg_line_length":11.363636016845703,"blob_id":"3a6769115e8478c3c0358365d3837cdd640fd7d0","content_id":"43a5b70c55eff75051d02cc264098cc0371e3ba8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":273,"license_type":"no_license","max_line_length":49,"num_lines":22,"path":"/asyncnet/asyncnet/downloader.h","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"//\n// downloader.h\n// asyncnet\n//\n// Created by Ólafur Jóhannsson on 06/11/16.\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\n//\n\n#ifndef downloader_h\n#define downloader_h\n\n\nclass FileDownloader\n{\npublic:\n FileDownloader()\n {\n \n }\n};\n\n#endif /* downloader_h */\n"},{"alpha_fraction":0.49136579036712646,"alphanum_fraction":0.5039246678352356,"avg_line_length":20.266666412353516,"blob_id":"e3f668e6808eef55c55292c12f65b5c7b7c99f03","content_id":"fddc22346fa4713e06bf6fa6560230d007a955aa","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":637,"license_type":"no_license","max_line_length":86,"num_lines":30,"path":"/asyncnet/asyncnet/subscriber.h","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"#include <zmq.hpp>\n#include <iostream>\n\nclass subscriber\n{\n \npublic:\n \n subscriber()\n {\n zmq::context_t context(1);\n zmq::socket_t subscriber(context, ZMQ_SUB);\n \n const char *loc = \"tcp://localhost:5556\";\n printf(\"connecting to %s\\n\", loc);\n subscriber.connect(loc);\n subscriber.setsockopt(ZMQ_SUBSCRIBE, \"\", 0);\n \n \n for (;;) {\n zmq::message_t message(5);\n subscriber.recv(&message, 0);\n \n printf(\"recv bytes %d message: \\\"%s\\\"\\n\", message.size(), message.data());\n }\n \n subscriber.close();\n }\n \n};"},{"alpha_fraction":0.6188898086547852,"alphanum_fraction":0.6263462901115417,"avg_line_length":20.945453643798828,"blob_id":"cd584403451f2a9e2ac298ce305f444ed9b4c978","content_id":"4ff27f117a6a1f5ed7d803bb936f55a19f44313b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1207,"license_type":"no_license","max_line_length":63,"num_lines":55,"path":"/asyncnet/subscriber.py","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"from threading import Thread\nimport zmq, socketio, eventlet\nfrom flask import Flask, render_template\nfrom flask_socketio import send\n\nsio = socketio.Server()\napp = Flask(__name__)\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n@sio.on('connect')\ndef connect(socket_id, environment):\n print 'connect sid: %s, env: %s' % (socket_id, environment)\n\n@sio.on('message')\ndef message(socket_id, data):\n print 'message sid: %s, data: %s' % (socket_id, data)\n\n@sio.on('disconnect')\ndef disconnect(socket_id):\n print 'disconnect sid: %s' % socket_id\n\n\ndef init_zeromq():\n \n print 'zmq version %s' % zmq.zmq_version()\n \n context = zmq.Context()\n subscriber = context.socket(zmq.SUB)\n subscriber.connect(\"tcp://localhost:5556\")\n subscriber.setsockopt(zmq.SUBSCRIBE, \"\")\n \n while True:\n r = subscriber.recv()\n print r\n \n \n \n subscriber.close()\n context.term()\n\n\nif __name__ == '__main__':\n \n # start 0mq, it blocks so we start a thread\n t = Thread(target=init_zeromq)\n t.start()\n \n # start flask\n app = socketio.Middleware(sio, app)\n eventlet.wsgi.server(eventlet.listen(('', 8000)), app)\n \n t.join()\n"},{"alpha_fraction":0.5330700874328613,"alphanum_fraction":0.5508390665054321,"avg_line_length":20.553192138671875,"blob_id":"fc05543daddd9b1b723809ded3227b1b32585269","content_id":"acd34e479f3139ae4e2f682ef9af148751fdc180","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":1015,"license_type":"no_license","max_line_length":112,"num_lines":47,"path":"/asyncnet/asyncnet/publisher.h","repo_name":"olafurjohannsson/cpp-concurrency","src_encoding":"UTF-8","text":"//\n// publisher.h\n// asyncnet\n//\n// Created by Ólafur Jóhannsson on 09/11/16.\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\n//\n\n#ifndef publisher_h\n#define publisher_h\n#include <iostream>\n#include <zmq.hpp>\n#include <stdio.h>\n#include <stdlib.h>\n#include <time.h>\n#include <unistd.h>\n#include <thread>\n#include <string>\n#include <functional>\n#include <vector>\n#include <map>\n\nclass publisher\n{\n publisher()\n {\n zmq::context_t context (1);\n zmq::socket_t publisher (context, ZMQ_PUB);\n publisher.bind(\"tcp://*:5556\");\n \n int major, minor, patch;\n zmq_version (&major, &minor, &patch); printf (\"Current ØMQ version is %d.%d.%d\\n\", major, minor, patch);\n \n for (;;) {\n zmq::message_t message(5);\n snprintf((char *) message.data(), 5, \"%s\", \"test\");\n printf(\"sending message %s\\n\", message.data());\n publisher.send(message);\n \n sleep(1);\n }\n \n }\n};\n\n\n#endif /* publisher_h */\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5030156970024109,\n \"alphanum_fraction\": 0.5217128992080688,\n \"avg_line_length\": 19.469135284423828,\n \"blob_id\": \"8937013ab24ca40670342ef74a9202f45a5a628d\",\n \"content_id\": \"375475e7f2fb19f219f74de36bc3a58a570366d3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 1659,\n \"license_type\": \"no_license\",\n \"max_line_length\": 93,\n \"num_lines\": 81,\n \"path\": \"/asyncnet/asyncnet/lambdastuff.h\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"//\\n// lambdastuff.h\\n// asyncnet\\n//\\n// Created by Ólafur Jóhannsson on 06/11/16.\\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\\n//\\n\\n#ifndef lambdastuff_h\\n#define lambdastuff_h\\n\\n\\nauto filterDigit = [] (std::string value) -> bool {\\n return !value.empty() && std::find_if(value.begin(), value.end(), [](char c) {\\n return !std::isdigit(c);\\n }) == value.end();\\n};\\n\\nbool isdigit1(std::string s) {\\n return false;\\n}\\n\\nbool filterDigit2(std::string value) {\\n std::string::const_iterator it;\\n for (it = value.begin(); it != value.end() && std::isdigit(*it); ++it)\\n ;\\n return !value.empty() && it == value.end();\\n}\\n\\nvector<int> vec;\\n\\ntemplate<typename Func>\\nstd::vector<int> find(Func func)\\n{\\n std::vector<int> result;\\n for_each(vec.begin(), vec.end(), [&] (int v) {\\n if (func(v)) {\\n result.push_back(v);\\n }\\n });\\n return result;\\n}\\n\\nint find2(std::function<bool (int)> func) {\\n for_each(vec.begin(), vec.end(), [=] (int v) {\\n \\n });\\n return 0;\\n}\\n\\nint test() {\\n \\n // lambda to automatic var\\n auto print = [] (int value) -> void { std::cout << std::to_string(value) << std::endl; };\\n \\n // lambda to function pointer\\n typedef int (*fn)();\\n fn f = [] () -> int32_t { return 1337; };\\n \\n // lambda to std::function\\n std::function<int ()> function = [] () -> int32_t {\\n return 1000;\\n };\\n \\n \\n vec.push_back(function());\\n vec.push_back(f());\\n \\n for_each(vec.begin(), vec.end(), [&] (int v) {\\n print(v);\\n });\\n auto fff = find([] (int v) {\\n return v == 1000;\\n });\\n \\n \\n \\n return 0;\\n}\\n\\n#endif /* lambdastuff_h */\\n\"\n },\n {\n \"alpha_fraction\": 0.4277879297733307,\n \"alphanum_fraction\": 0.4346435070037842,\n \"avg_line_length\": 19.828571319580078,\n \"blob_id\": \"dcd577b12de0b854c96dbf3d694bf7f6ec7f5a12\",\n \"content_id\": \"f542cb1499fd9d117949f833daf2758d73bc2648\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 2188,\n \"license_type\": \"no_license\",\n \"max_line_length\": 94,\n \"num_lines\": 105,\n \"path\": \"/asyncnet/asyncnet/test.cpp\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\n/*\\n C includes\\n*/\\n#include <ctype.h>\\n#include <stdio.h>\\n#include <stdlib.h>\\n\\n/*\\n C++ STL includes\\n*/\\n#include <iostream>\\n#include <thread>\\n#include <chrono>\\n#include <vector>\\n#include <string>\\n#include <functional>\\n\\n/*\\n Local header includes\\n*/\\n#include \\\"socket.h\\\"\\n\\n\\nstd::string displayOptions() {\\n return std::string(\\n \\\"1: Enter hostname\\\\n\\\" \\\\\\n \\\"2: Write data\\\\n\\\" \\\\\\n \\\"3: Read data\\\\n\\\" \\\\\\n \\\"4: Get address information\\\\n\\\" \\\\\\n \\\"\\\\n\\\"\\n );\\n}\\n\\n\\n#include \\\"subscriber.h\\\"\\n\\nint main()\\n{\\n \\n subscriber sub;\\n \\n return 0;\\n /////////\\n Socket s(80);\\n if (s.Connect(\\\"visir.is\\\")) {\\n s.Write(\\\"test\\\");\\n std::cout << s.Read() << std::endl;\\n }\\n \\n return 0;\\n int32_t input, port;\\n std::string hostname, address;\\n bool connected = false;\\n \\n std::cout << \\\"Creating socket, please input port: \\\";\\n std::cin >> port;\\n std::cout << \\\"Setting up socket on port \\\" << port << std::endl;\\n Socket sock(port);\\n\\n for (;;) {\\n std::cout << displayOptions();\\n std::cin >> input;\\n std::cin.clear();\\n \\n \\n\\n switch (input) {\\n case 1:\\n std::cout << \\\"Enter hostname: \\\";\\n std::cin >> hostname;\\n \\n if ((connected = sock.Connect(hostname.c_str()))) {\\n std::cout << \\\"Successfully connected to \\\" << hostname << std::endl;\\n }\\n else { \\n std::cout << \\\"Could not establish connection\\\\n\\\";\\n }\\n break;\\n \\n case 2:\\n std::cout << \\\"Data: \\\";\\n if (sock.Write(std::string(std::istreambuf_iterator<char>(std::cin), {})) > 0)\\n {\\n std::cout << \\\"Response: \\\" << sock.Read() << std::endl;\\n }\\n \\n break;\\n \\n case 4:\\n std::cout << \\\"Enter address name:\\\";\\n \\n std::cin >> address;\\n sock.Getaddrinfo(address);\\n\\n\\n\\n break;\\n\\n default:\\n continue;\\n };\\n }\\n\\n return 0;\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.45125818252563477,\n \"alphanum_fraction\": 0.4614083170890808,\n \"avg_line_length\": 28.012269973754883,\n \"blob_id\": \"15afbd94412da4734a743627fc6b9d19d940db64\",\n \"content_id\": \"885daf43724e547aa12020b887b80231f348ee4e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 4730,\n \"license_type\": \"no_license\",\n \"max_line_length\": 103,\n \"num_lines\": 163,\n \"path\": \"/asyncnet/asyncnet/socket.h\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include <stdio.h>\\n#include <errno.h>\\n#include <stdlib.h>\\n#include <unistd.h>\\n#include <string.h>\\n#include <sys/types.h>\\n#include <sys/socket.h>\\n#include <netinet/in.h>\\n#include <arpa/inet.h>\\n#include <netdb.h>\\n#include <sys/ioctl.h>\\n#include <iostream>\\n#include <string>\\n#include <zmq.hpp>\\n\\nusing namespace std;\\n\\nclass SocketConnectException: public exception\\n{\\n virtual const char* what() const throw()\\n {\\n return \\\"Socket could not establish connection\\\";\\n }\\n} myex;\\n\\nclass Socket\\n{\\n int32_t sock_fd;\\n struct sockaddr_in servername;\\n\\n public:\\n\\n Socket(uint32_t port) \\n {\\n // init socket file descriptor\\n sock_fd = socket(PF_INET, SOCK_STREAM, 0);\\n\\n // file descriptor fail\\n if (sock_fd < 0) {\\n return;\\n }\\n\\n /*\\n AF_INET: Address Family\\n htons: Host to network short\\n */\\n servername.sin_family = AF_INET;\\n servername.sin_port = htons(port);\\n };\\n\\n bool Connect(const char *hostname) {\\n struct hostent *hostinfo = gethostbyname(hostname);\\n \\n // host not found\\n if (hostinfo == NULL) {\\n return false;\\n }\\n\\n servername.sin_addr = *(struct in_addr *) hostinfo->h_addr;\\n\\n if (0 > connect(sock_fd, (struct sockaddr *)&servername, sizeof(servername))) {\\n return false;\\n }\\n \\n return true;\\n }\\n\\n bool Close() \\n { \\n close(sock_fd); \\n sock_fd = 0;\\n return true; \\n }\\n\\n ssize_t Write(std::string value)\\n {\\n // Write to socket file descriptor\\n char buff[128];\\n sprintf(buff, \\\"test\\\");\\n ssize_t nbytes = ::write(sock_fd, buff, 128); //value.c_str(), strlen(value.c_str()) + 1);\\n \\n return nbytes < 0 ? 0 : nbytes;\\n }\\n\\n void Getaddrinfo(std::string address) {\\n int status;\\n struct addrinfo hints, *servinfo, *p;\\n char ipstr[INET6_ADDRSTRLEN];\\n\\n memset(&hints, 0x00, sizeof(hints));\\n hints.ai_family = AF_UNSPEC; // ipv4 or ipv6\\n hints.ai_socktype = SOCK_STREAM; // tcp socket\\n hints.ai_flags = AI_PASSIVE; // fill in my ip for me\\n\\n if ((status = getaddrinfo(address.c_str(), \\\"80\\\", &hints, &servinfo)) != 0) {\\n printf(\\\"getaddrinfo err: %s\\\\n\\\", gai_strerror(status));\\n exit(1); \\n }\\n // servinfo now points to a linked list of 1 or more struct addrinfos\\n for (p = servinfo; p != NULL; p = p->ai_next) {\\n void *addr;\\n char *ipver;\\n\\n if (p->ai_family == AF_INET) {\\n struct sockaddr_in *ipv4 = (struct sockaddr_in *)p->ai_addr;\\n addr = &(ipv4->sin_addr);\\n ipver = &std::string(\\\"IPv4\\\")[0];\\n }\\n else {\\n // IPv6\\n \\n }\\n // convert IP to str\\n inet_ntop(p->ai_family, addr, ipstr, sizeof(ipstr));\\n \\n std::cout << \\\"IP: \\\" << ipver << \\\"Str: \\\" << ipstr << std::endl;\\n }\\n // ... do everything until you don't need servinfo anymore ....\\n\\n freeaddrinfo(servinfo); // free the linked-list\\n std::cout << \\\"returning from Getaddrinfo()\\\\n\\\";\\n exit(0);\\n }\\n\\n const std::string Read() \\n {\\n size_t chunk_size = 256;\\n ssize_t bytes_read;\\n char buff[chunk_size];\\n printf(\\\"starting to read\\\\n\\\");\\n while ((bytes_read = ::read(this->sock_fd, &buff, chunk_size) > 0)) {\\n printf(\\\"bytes_read: %d, buffer: %s\\\\n\\\", bytes_read, buff);\\n }\\n printf(\\\"done\\\\n\\\");\\n return \\\"\\\";\\n \\n ssize_t nbytes = 1024;°\\n\\n //ioctl(sock_fd, FIONREAD, &nbytes);\\n char *buffer = new char[nbytes];\\n memset(buffer, 0x00, nbytes);\\n \\n if (sock_fd > 0) {\\n nbytes = ::read(sock_fd, buffer, nbytes);\\n std::cout << \\\"nbytes read \\\" << nbytes << std::endl;\\n }\\n else {\\n std::cout << \\\"Socket descriptor is invalid\\\\n\\\";\\n }\\n\\n if (nbytes < 0) {\\n printf(\\\"no bytes read\\\\n\\\");\\n }\\n else if (nbytes == 0) {\\n printf(\\\"EOF\\\\n\\\");\\n }\\n \\n std::string strBuffer(buffer);\\n delete[] buffer;\\n\\n return strBuffer;\\n }\\n};\\n\"\n },\n {\n \"alpha_fraction\": 0.6236559152603149,\n \"alphanum_fraction\": 0.6487455368041992,\n \"avg_line_length\": 13.307692527770996,\n \"blob_id\": \"a1d4a41aee400fa6b04b9be2e6cbb3917b72b85f\",\n \"content_id\": \"c64bf7158eaf164818950ffd5eaed9a2d42a1f7b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 559,\n \"license_type\": \"no_license\",\n \"max_line_length\": 56,\n \"num_lines\": 39,\n \"path\": \"/asyncnet/asyncnet/connector.h\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"//\\n// connector.h\\n// asyncnet\\n//\\n// Created by Ólafur Jóhannsson on 06/11/16.\\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\\n//\\n\\n#ifndef connector_h\\n#define connector_h\\n\\n#include \\\"socket.h\\\"\\n\\n// functor\\ntemplate<Func>\\nbool doConnect(std::string port, Func fn)\\n{\\n return fn(port);\\n}\\n\\n// virtual function\\nclass IConnector\\n{\\n virtual bool connect(std::string port) = 0;\\n};\\n\\nbool doConnect (std::string port, IConnector *connector)\\n{\\n return connector->connect(port);\\n}\\n\\n\\n// tests\\nvoid test() {\\n \\n doConnect(\\\"123\\\", nullptr);\\n}\\n\\n#endif /* connector_h */\\n\"\n },\n {\n \"alpha_fraction\": 0.5625,\n \"alphanum_fraction\": 0.5992646813392639,\n \"avg_line_length\": 11.363636016845703,\n \"blob_id\": \"3a6769115e8478c3c0358365d3837cdd640fd7d0\",\n \"content_id\": \"43a5b70c55eff75051d02cc264098cc0371e3ba8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 273,\n \"license_type\": \"no_license\",\n \"max_line_length\": 49,\n \"num_lines\": 22,\n \"path\": \"/asyncnet/asyncnet/downloader.h\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"//\\n// downloader.h\\n// asyncnet\\n//\\n// Created by Ólafur Jóhannsson on 06/11/16.\\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\\n//\\n\\n#ifndef downloader_h\\n#define downloader_h\\n\\n\\nclass FileDownloader\\n{\\npublic:\\n FileDownloader()\\n {\\n \\n }\\n};\\n\\n#endif /* downloader_h */\\n\"\n },\n {\n \"alpha_fraction\": 0.49136579036712646,\n \"alphanum_fraction\": 0.5039246678352356,\n \"avg_line_length\": 20.266666412353516,\n \"blob_id\": \"e3f668e6808eef55c55292c12f65b5c7b7c99f03\",\n \"content_id\": \"fddc22346fa4713e06bf6fa6560230d007a955aa\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 637,\n \"license_type\": \"no_license\",\n \"max_line_length\": 86,\n \"num_lines\": 30,\n \"path\": \"/asyncnet/asyncnet/subscriber.h\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include <zmq.hpp>\\n#include <iostream>\\n\\nclass subscriber\\n{\\n \\npublic:\\n \\n subscriber()\\n {\\n zmq::context_t context(1);\\n zmq::socket_t subscriber(context, ZMQ_SUB);\\n \\n const char *loc = \\\"tcp://localhost:5556\\\";\\n printf(\\\"connecting to %s\\\\n\\\", loc);\\n subscriber.connect(loc);\\n subscriber.setsockopt(ZMQ_SUBSCRIBE, \\\"\\\", 0);\\n \\n \\n for (;;) {\\n zmq::message_t message(5);\\n subscriber.recv(&message, 0);\\n \\n printf(\\\"recv bytes %d message: \\\\\\\"%s\\\\\\\"\\\\n\\\", message.size(), message.data());\\n }\\n \\n subscriber.close();\\n }\\n \\n};\"\n },\n {\n \"alpha_fraction\": 0.6188898086547852,\n \"alphanum_fraction\": 0.6263462901115417,\n \"avg_line_length\": 20.945453643798828,\n \"blob_id\": \"cd584403451f2a9e2ac298ce305f444ed9b4c978\",\n \"content_id\": \"4ff27f117a6a1f5ed7d803bb936f55a19f44313b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1207,\n \"license_type\": \"no_license\",\n \"max_line_length\": 63,\n \"num_lines\": 55,\n \"path\": \"/asyncnet/subscriber.py\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from threading import Thread\\nimport zmq, socketio, eventlet\\nfrom flask import Flask, render_template\\nfrom flask_socketio import send\\n\\nsio = socketio.Server()\\napp = Flask(__name__)\\n\\n@app.route('/')\\ndef index():\\n return render_template('index.html')\\n\\n@sio.on('connect')\\ndef connect(socket_id, environment):\\n print 'connect sid: %s, env: %s' % (socket_id, environment)\\n\\n@sio.on('message')\\ndef message(socket_id, data):\\n print 'message sid: %s, data: %s' % (socket_id, data)\\n\\n@sio.on('disconnect')\\ndef disconnect(socket_id):\\n print 'disconnect sid: %s' % socket_id\\n\\n\\ndef init_zeromq():\\n \\n print 'zmq version %s' % zmq.zmq_version()\\n \\n context = zmq.Context()\\n subscriber = context.socket(zmq.SUB)\\n subscriber.connect(\\\"tcp://localhost:5556\\\")\\n subscriber.setsockopt(zmq.SUBSCRIBE, \\\"\\\")\\n \\n while True:\\n r = subscriber.recv()\\n print r\\n \\n \\n \\n subscriber.close()\\n context.term()\\n\\n\\nif __name__ == '__main__':\\n \\n # start 0mq, it blocks so we start a thread\\n t = Thread(target=init_zeromq)\\n t.start()\\n \\n # start flask\\n app = socketio.Middleware(sio, app)\\n eventlet.wsgi.server(eventlet.listen(('', 8000)), app)\\n \\n t.join()\\n\"\n },\n {\n \"alpha_fraction\": 0.5330700874328613,\n \"alphanum_fraction\": 0.5508390665054321,\n \"avg_line_length\": 20.553192138671875,\n \"blob_id\": \"fc05543daddd9b1b723809ded3227b1b32585269\",\n \"content_id\": \"acd34e479f3139ae4e2f682ef9af148751fdc180\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 1015,\n \"license_type\": \"no_license\",\n \"max_line_length\": 112,\n \"num_lines\": 47,\n \"path\": \"/asyncnet/asyncnet/publisher.h\",\n \"repo_name\": \"olafurjohannsson/cpp-concurrency\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"//\\n// publisher.h\\n// asyncnet\\n//\\n// Created by Ólafur Jóhannsson on 09/11/16.\\n// Copyright © 2016 Ólafur Jóhannsson. All rights reserved.\\n//\\n\\n#ifndef publisher_h\\n#define publisher_h\\n#include <iostream>\\n#include <zmq.hpp>\\n#include <stdio.h>\\n#include <stdlib.h>\\n#include <time.h>\\n#include <unistd.h>\\n#include <thread>\\n#include <string>\\n#include <functional>\\n#include <vector>\\n#include <map>\\n\\nclass publisher\\n{\\n publisher()\\n {\\n zmq::context_t context (1);\\n zmq::socket_t publisher (context, ZMQ_PUB);\\n publisher.bind(\\\"tcp://*:5556\\\");\\n \\n int major, minor, patch;\\n zmq_version (&major, &minor, &patch); printf (\\\"Current ØMQ version is %d.%d.%d\\\\n\\\", major, minor, patch);\\n \\n for (;;) {\\n zmq::message_t message(5);\\n snprintf((char *) message.data(), 5, \\\"%s\\\", \\\"test\\\");\\n printf(\\\"sending message %s\\\\n\\\", message.data());\\n publisher.send(message);\\n \\n sleep(1);\\n }\\n \\n }\\n};\\n\\n\\n#endif /* publisher_h */\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":8,"string":"8"}}},{"rowIdx":2984193,"cells":{"repo_name":{"kind":"string","value":"EzraCerpac/SatLink"},"repo_url":{"kind":"string","value":"https://github.com/EzraCerpac/SatLink"},"snapshot_id":{"kind":"string","value":"582f6240d2813525fba76c9a624b2336748f8043"},"revision_id":{"kind":"string","value":"d5da25d8f287ea25a7da6e91eed8b435ed8416f1"},"directory_id":{"kind":"string","value":"db7a5051df721ff0f255df605380ad95d82abbcf"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-08-25T20:32:38.885754","string":"2023-08-25T20:32:38.885754"},"revision_date":{"kind":"timestamp","value":"2021-09-02T19:04:22","string":"2021-09-02T19:04:22"},"committer_date":{"kind":"timestamp","value":"2021-09-02T19:04:22","string":"2021-09-02T19:04:22"},"github_id":{"kind":"number","value":413519242,"string":"413,519,242"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"string","value":"MIT"},"gha_created_at":{"kind":"timestamp","value":"2021-10-04T17:23:41","string":"2021-10-04T17:23:41"},"gha_updated_at":{"kind":"timestamp","value":"2021-09-02T19:04:25","string":"2021-09-02T19:04:25"},"gha_pushed_at":{"kind":"timestamp","value":"2021-09-02T19:04:22","string":"2021-09-02T19:04:22"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5815789699554443,"alphanum_fraction":0.6013157963752747,"avg_line_length":28.93877601623535,"blob_id":"4542f7436b28cdec271b192e68f1efec5febb73d","content_id":"47b7d3a9e41c682e591a70a16ea860be53d9a2d6","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1520,"license_type":"permissive","max_line_length":78,"num_lines":49,"path":"/models/util.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import numpy as np\r\nimport math\r\n\r\n\r\n# def curve_interpolation(x, interp, name_c1, c1, name_c2, c2):\r\n# c1_interp = np.interp(x, c1.index, c1)\r\n# c2_interp = np.interp(x, c2.index, c2)\r\n# delta_curve = abs(name_c1 - name_c2)\r\n# delta_y = abs(c1_interp - c2_interp)\r\n#\r\n# if c1_interp < c2_interp:\r\n# delta_val = interp - name_c1\r\n# interpolated_point = c1_interp + delta_y * (delta_val / delta_curve)\r\n# elif c1_interp > c2_interp:\r\n# delta_val = interp - name_c2\r\n# interpolated_point = c2_interp + delta_y * (delta_val / delta_curve)\r\n# else:\r\n# return c2_interp\r\n#\r\n# return interpolated_point\r\n\r\ndef truncate(number, decimals=0):\r\n \"\"\"\r\n Returns a value truncated to a specific number of decimal places.\r\n \"\"\"\r\n if not isinstance(decimals, int):\r\n raise TypeError(\"decimal places must be an integer.\")\r\n elif decimals < 0:\r\n raise ValueError(\"decimal places has to be 0 or more.\")\r\n elif decimals == 0:\r\n return math.trunc(number)\r\n\r\n factor = 10.0 ** decimals\r\n return math.trunc(number * factor) / factor\r\n\r\n\r\n\r\ndef curve_interpolation(x, interp, data):\r\n to_be_fitedx = []\r\n to_be_fitedy = []\r\n for i in data.columns:\r\n curve_interpol = np.interp(x, data.index.array, data[i].values)\r\n to_be_fitedx.append(float(i))\r\n to_be_fitedy.append(curve_interpol)\r\n\r\n intepolated_point = np.interp(interp, to_be_fitedx, to_be_fitedy)\r\n\r\n\r\n return intepolated_point\r\n\r\n\r\n"},{"alpha_fraction":0.5333994626998901,"alphanum_fraction":0.5569356083869934,"avg_line_length":43.628570556640625,"blob_id":"1cafdb7e6db7e238acdf8520cd68ca06e4e65c9f","content_id":"840df9c30ce42e548f6b12c25b49b3efb609eca6","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":19163,"license_type":"permissive","max_line_length":128,"num_lines":420,"path":"/sat.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import sys, warnings\r\nimport numpy as np\r\nimport pandas as pd\r\nimport itur\r\nfrom GrStat import GroundStation, Reception\r\nfrom models.FsAtt import FreeSpaceAtt as FsAtt\r\nimport astropy.units as u\r\nfrom models.util import truncate\r\n\r\n# class intended for calculation of parameters related to the geostationary satellite and his link to the ground station\r\n# can set the ground_station class and reception class to it and run all the functions\r\n# please be carefully with the p value when running availability calculations\r\n\r\nclass Satellite:\r\n # all lat/long parameters are in degrees when input or output variables\r\n\r\n def __init__(self, sat_long, freq, eirp_max=0, h_sat=35786, b_transp=36, b_util=36, back_off=0, contorno=0,\r\n modulation='', roll_off=None, fec=''):\r\n self.sat_long = np.radians(sat_long) # satellite longitude\r\n self.freq = freq # frequency, in GHz\r\n self.eirp_max = eirp_max # sattelite's eirp, in dBW\r\n self.h_sat = h_sat # satellite's height\r\n self.b_transp = b_transp # transponder's band, in GHz\r\n self.b_util = b_util # transponder's band that the carrier is using, in GHz\r\n self.back_off = back_off # transponder's back off ????????????????\r\n self.contorno = contorno # ver que diabos é isso aqui ????????????????\r\n # self.tech = tech # technology (DVB-S, S2, S2X)\r\n self.modulation = modulation # modulation name\r\n self.fec = fec # FEC\r\n self.roll_off = roll_off\r\n self.eirp = eirp_max - back_off - contorno + 10 * np.log10(b_util / b_transp)\r\n\r\n # not initialized parameters that will be calculated in the atmospheric attenuation function\r\n self.a_g = None # gaseous attenuation\r\n self.a_c = None # could attenuation\r\n self.a_r = None # rain attenuation\r\n self.a_s = None # citilation or tropospheric attenuation\r\n self.a_t = None # total atmospheric attenuation\r\n self.a_fs = None # free space attenuation\r\n self.a_x = None # cross-polar attenuation\r\n self.a_co = None # co-polar attenuation\r\n self.a_tot = None # total attenuation (atmospheric + free space)\r\n self.p = None # exceed percentage - just to store the attenuation inm reference to a p value\r\n\r\n # other parameters calculated in this class\r\n self.cross_pol_discrimination = None # attenuation due to depolarization effect\r\n self.power_flux_density = None # power flux density at earth station (W/m^2)\r\n self.antenna_noise_rain = None # antenna noise under rain conditions\r\n self.total_noise_temp = None # system's noise temperature (K)\r\n self.figure_of_merit = None # figure of merit - G/T\r\n self.c_over_n0 = None # calculated C/N\r\n self.snr = None # calculated SNR\r\n self.snr_threshold = None # SNR threshold for a specific\r\n self.availability = None # availability for a specific SNR threshold\r\n self.symbol_rate = None # symbolrate based on the bandwidth and roll off factor\r\n self.bitrate = None # bitrate based on the bandwidth and inforate efficiency\r\n\r\n # ground station and reception objects that can be set in the satellite class\r\n self.grstation = None # ground station object\r\n self.reception = None # reception object\r\n\r\n def set_grstation(self, grstation: GroundStation): # works as a way to used some variables from grstation\r\n self.grstation = grstation\r\n pass\r\n\r\n def set_reception(self, reception: Reception): # set the link's reception system\r\n reception.set_parameters(self.freq, self.get_elevation()) # parameters used in some functions in Reception\r\n self.reception = reception\r\n\r\n pass\r\n\r\n def get_elevation(self): # returns the elevation angle between satellite and ground station\r\n if self.grstation is None:\r\n sys.exit(\r\n 'Need to associate a ground station to a satellite first. Try satellite.set_grstation(GroundStation)!!!')\r\n\r\n site_lat = np.radians(self.grstation.site_lat)\r\n site_long = np.radians(self.grstation.site_long)\r\n E = np.arctan((np.cos(self.sat_long - site_long) * np.cos(site_lat) - 0.15116) /\r\n (np.sqrt(1 - (np.cos(self.sat_long - site_long) ** 2) * (np.cos(site_lat) ** 2))))\r\n\r\n return np.degrees(E)\r\n\r\n def get_azimuth(self): # returns the azimuth angle between satellite and ground station\r\n if self.grstation is None:\r\n sys.exit(\r\n 'Need to associate a ground station to a satellite first. Try satellite.set_reception(reception)!!!')\r\n\r\n site_lat = np.radians(self.grstation.site_lat)\r\n site_long = np.radians(self.grstation.site_long)\r\n azimuth = np.pi + np.arctan2(np.tan(self.sat_long - site_long), np.sin(site_lat))\r\n\r\n return np.degrees(azimuth)\r\n\r\n def get_distance(self): # returns the distance (km) between satellite and ground station\r\n if self.grstation is None:\r\n sys.exit(\r\n 'Need to associate a ground station to a satellite first. Try satellite.set_reception(reception)!!!')\r\n\r\n e = np.radians(self.get_elevation())\r\n earth_rad = self.grstation.get_earth_radius()\r\n dist = np.sqrt(((earth_rad + self.h_sat) ** 2) - ((earth_rad * np.cos(e)) ** 2)) - earth_rad * np.sin(e)\r\n return dist\r\n\r\n def get_reception_threshold(self): # returns the threshold for a given modulation scheme (modcod file)\r\n if self.modulation == '' or self.fec == '':\r\n sys.exit(\r\n 'You need to create a satellite class with a technology, modulation and FEC to use this function!!!')\r\n elif self.snr_threshold is not None:\r\n return self.snr_threshold\r\n\r\n data = pd.read_csv('models\\\\Modulation_dB.csv', sep=';')\r\n # line = data.loc[(data.Tech == self.tech) & (data.Modulation == self.modulation) & (data.FEC == self.fec)]\r\n line = data.loc[(data.Modulation == self.modulation) & (data.FEC == self.fec)]\r\n self.snr_threshold = line['C_over_N'].values[0]\r\n return self.snr_threshold\r\n\r\n def get_symbol_rate(self):\r\n if self.symbol_rate is not None:\r\n return self.symbol_rate\r\n if self.roll_off is None:\r\n sys.exit('You must define the roll off factor to calculate the symbol rate!!!')\r\n self.symbol_rate = self.b_util * 10 ** 6 / self.roll_off\r\n return self.symbol_rate\r\n\r\n def get_bitrate(self):\r\n if self.bitrate is not None:\r\n return self.bitrate\r\n if self.modulation == '' or self.fec == '':\r\n sys.exit(\r\n 'You need to create a satellite class with a technology, modulation and FEC to use this function!!!')\r\n data = pd.read_csv('models\\\\Modulation_dB.csv', sep=';')\r\n line = data.loc[(data.Modulation == self.modulation) & (data.FEC == self.fec)]\r\n self.bitrate = self.b_util * line['Inforate efficiency bps_Hz'].values[0]\r\n return self.bitrate\r\n\r\n def get_link_attenuation(self, p=0.001, method='approx'):\r\n if self.grstation is None:\r\n sys.exit(\r\n 'Need to associate a ground station to a satellite first. Try satellite.set_reception(reception)!!!')\r\n if self.reception is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\r\n if self.p is None:\r\n self.p = 0.001\r\n p = 0.001\r\n if self.a_tot is not None and p == self.p:\r\n return self.a_fs, self.reception.get_depoint_loss(), self.a_g, self.a_c, self.a_r, self.a_s, self.a_t, self.a_tot\r\n else:\r\n freq = self.freq * u.GHz\r\n e = self.get_elevation()\r\n diam = self.reception.ant_size * u.m\r\n a_fs = FsAtt(self.get_distance(), self.freq)\r\n a_g, a_c, a_r, a_s, a_t = itur.atmospheric_attenuation_slant_path(\r\n self.grstation.site_lat, self.grstation.site_long, freq, e, p, diam, return_contributions=True, mode=method)\r\n a_tot = a_fs + self.reception.get_depoint_loss() + a_t.value\r\n\r\n self.a_g = a_g\r\n self.a_c = a_c\r\n self.a_r = a_r\r\n self.a_s = a_s\r\n self.a_t = a_t\r\n self.a_fs = a_fs\r\n self.a_tot = a_tot\r\n self.p = p\r\n\r\n # erasing the dependent variables that will use link atten. for different p value\r\n self.power_flux_density = None\r\n self.antenna_noise_rain = None\r\n self.total_noise_temp = None\r\n self.figure_of_merit = None\r\n self.c_over_n0 = None\r\n self.snr = None\r\n self.cross_pol_discrimination = None\r\n\r\n return a_fs, self.reception.get_depoint_loss(), a_g, a_c, a_r, a_s, a_t, a_tot\r\n\r\n def get_total_attenuation(self, p = None):\r\n self.a_fs = FsAtt(self.get_distance(), self.freq)\r\n xpd = self.get_cross_pol_discrimination()\r\n self.a_x = 10 * np.log10(1 + 10 ** (0.1 * xpd))\r\n self.a_co = 10 * np.log10(1 + 10 ** (0.1 * xpd))\r\n\r\n self.a_tot = self.a_fs + self.a_x + self.reception.get_depoint_loss() + self.a_t\r\n return self.a_tot, self.a_t, self.reception.get_depoint_loss(),\r\n\r\n def get_cross_pol_discrimination(self, p=None):\r\n if self.cross_pol_discrimination is not None and p == self.p:\r\n return self.cross_pol_discrimination\r\n\r\n if p is not None:\r\n _, _, _, _, a_r, _, _, _ = self.get_link_attenuation(p)\r\n else:\r\n _, _, _, _, a_r, _, _, _ = self.get_link_attenuation(self.p)\r\n\r\n a_r = a_r.value\r\n if self.freq < 8: # frequency in Ghz\r\n f = 10 # dummy frequency used to convert XPD calculations to frequencies below 8 GHz\r\n if self.freq < 4:\r\n warnings.warn(' XPD calculations are suited for frequencies above 4 GHz')\r\n else:\r\n f = self.freq\r\n if self.freq > 35:\r\n warnings.warn(' XPD calculations are suited for frequencies below 35 GHz')\r\n\r\n cf = 20 * np.log10(f)\r\n\r\n if 8 <= f <= 20:\r\n v = 12.8 * (f ** 0.19)\r\n else:\r\n v = 22.6\r\n\r\n ca = v * np.log10(a_r)\r\n\r\n tau = 45 # NOT FORGET TO MAKE THIS CHOOSABLE !!!!\r\n c_tau = -10 * np.log10(1 - 0.484 * (1 + np.cos(4 * np.radians(tau))))\r\n c_teta = -40 * np.log10(np.cos(np.radians(self.get_elevation())))\r\n\r\n # if 0.001 <= self.p < 0.01:\r\n # sigma = 15\r\n # elif 0.01 <= self.p < 0.1:\r\n # sigma = 10\r\n # elif 0.1 <= self.p < 1:\r\n # sigma = 5\r\n # else:\r\n # sigma = 0\r\n\r\n sigma = np.interp(self.p, [0.001, 0.01, 0.1, 1], [15, 10, 5, 0]) # interpolating the standard deviation of\r\n # raindrop inclination angle distribution from given values\r\n\r\n c_sigma = 0.0052 * sigma\r\n\r\n xpd_rain = cf - ca + c_tau + c_teta + c_sigma\r\n c_ice = xpd_rain * (0.3 + 0.1 * np.log10(self.p)) / 2\r\n xpd = xpd_rain - c_ice\r\n\r\n tau2 = tau #MAKE THIS ALSO CHOOSABLE !!!\r\n\r\n if self.freq < 8:\r\n xpd = (xpd_rain - 20 * np.log((self.freq * (1 + 0.484 * np.cos(4 * np.radians(tau2)))) ** 0.5) /\r\n (f * (1 - 0.484 * (1 + np.cos(4 * np.radians(tau)))) ** 0.5)) # RECHECK THIS EQUATION !!!\r\n\r\n self.a_x = 10 * np.log10(1 + 10 ** (0.1 * xpd))\r\n self.a_co = 10 * np.log10(1 + 10 ** (-0.1 * xpd))\r\n\r\n self.cross_pol_discrimination = xpd\r\n return self.cross_pol_discrimination, self.a_co, self.a_x\r\n\r\n def get_power_flux_density(self, p=None):\r\n if self.grstation is None:\r\n sys.exit('Need to associate a grd. station to a satellite first. Try Satellite.set_grstation(Station)!!!')\r\n elif self.reception is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try Satellite.set_reception(Reception)!!!')\r\n elif self.power_flux_density is not None and p == self.p:\r\n return self.power_flux_density\r\n\r\n if p is not None:\r\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(p)\r\n else:\r\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(self.p)\r\n\r\n a_t = a_t.value\r\n phi = (10 ** ((self.eirp - a_t)/10)) / (4 * np.pi * ((self.get_distance() * 1000 ) ** 2))\r\n\r\n self.power_flux_density = 10 * np.log10(phi)\r\n\r\n return self.power_flux_density\r\n\r\n def get_antenna_noise_rain(self, p=None):\r\n if self.reception is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\r\n elif self.antenna_noise_rain is not None and self.p == p:\r\n return self.antenna_noise_rain\r\n\r\n if p is not None:\r\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(p)\r\n else:\r\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(self.p)\r\n Tm = 275\r\n a_t = 10 ** (a_t.value/10)\r\n self.antenna_noise_rain = self.reception.get_brightness_temp()/a_t + (Tm * (1-1/a_t)) + self.reception.get_ground_temp()\r\n return self.antenna_noise_rain\r\n\r\n def get_total_noise_temp(self, p=None):\r\n if self.freq is None or self.reception.e is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\r\n elif self.total_noise_temp is not None and p == self.p:\r\n return self.total_noise_temp\r\n if p is not None:\r\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(p)\r\n\r\n # self.total_noise_temp = (self.get_antenna_noise_rain() / (10 ** (self.reception.feeder_loss / 10))\r\n # + self.reception.feeder_noise_temp * (\r\n # 1 - 1 / (10 ** (self.reception.feeder_loss / 10))) + self.reception.lnbf_noise_temp)\r\n\r\n total_loss = self.reception.coupling_loss + self.reception.cable_loss\r\n loss = 10 ** (total_loss/10)\r\n t_loss = 290 * (loss - 1)\r\n self.total_noise_temp = self.get_antenna_noise_rain() +\\\r\n (self.reception.lnb_noise_temp + t_loss/(10 ** (self.reception.lnb_gain/10)))\r\n\r\n\r\n return self.total_noise_temp\r\n\r\n def get_figure_of_merit(self, p=None): # recommendation ITU BO790\r\n if self.figure_of_merit is not None:\r\n return self.figure_of_merit\r\n elif self.figure_of_merit is not None and p == self.p:\r\n return self.figure_of_merit\r\n if p is not None:\r\n _, _, _, _, _, _, _, _ = self.get_link_attenuation(p)\r\n\r\n # self.figure_of_merit = self.reception.get_antenna_gain() - \\\r\n # self.reception.get_depoint_loss() - self.reception.polarization_loss - \\\r\n # - self.reception.coupling_loss - self.reception.cable_loss - \\\r\n # 10 * np.log10(self.get_total_noise_temp())\r\n\r\n alfa = 10 ** ((self.reception.coupling_loss + self.reception.cable_loss)/10)\r\n beta = 10 ** (self.reception.get_depoint_loss()/10)\r\n gt = 10 ** (self.reception.get_antenna_gain()/10)\r\n ta = self.get_antenna_noise_rain()\r\n t0 = 290\r\n n = self.get_total_noise_temp()/t0 + 1\r\n\r\n self.figure_of_merit = 10* np.log10((alfa * beta * gt) / (alfa * ta + (1 - alfa) * t0 + (n - 1) * t0))\r\n\r\n return self.figure_of_merit\r\n\r\n def get_c_over_n0(self, p=None): # returns the C/N for the satellite link\r\n if self.reception is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\r\n if self.eirp_max == 0:\r\n sys.exit('Please set the satellite\\'s E.I.R.P before running this!!!')\r\n if self.c_over_n0 is not None and self.p == p:\r\n return self.c_over_n0\r\n\r\n if p is not None:\r\n _, _, _, _, _, _, _, a_tot = self.get_link_attenuation(p)\r\n else:\r\n _, _, _, _, _, _, _, a_tot = self.get_link_attenuation(self.p)\r\n\r\n figure_of_merit = self.get_figure_of_merit()\r\n self.c_over_n0 = self.eirp - a_tot + figure_of_merit + 228.6\r\n\r\n self.snr = None # erasing the dependent variables that will use C/N0 for different p value\r\n return self.c_over_n0\r\n\r\n def get_snr(self, p=None):\r\n if p == self.p and self.snr is not None:\r\n return self.snr\r\n if p is not None:\r\n _, _, _, _, _, _, _, _ = self.get_link_attenuation(p)\r\n else:\r\n _, _, _, _, _, _, _, _ = self.get_link_attenuation(self.p)\r\n\r\n self.snr = self.get_c_over_n0(p) - 10 * np.log10(self.b_util * (10 ** 6))\r\n\r\n return self.snr\r\n\r\n # tris function is just a simple way to iterate over a convex optimization problem\r\n # its a option besides the recommended ITU-R BO.1696 methodology\r\n def get_availability(self, margin=0, relaxation=0.1):\r\n target = self.get_reception_threshold() + margin\r\n p = 0.0012\r\n speed = 0.000005\r\n speed_old = 0\r\n delta_old = 1000000000\r\n p_old = 10000000\r\n delta = self.get_snr(0.001) - target\r\n\r\n if delta >= 0:\r\n return 99.999\r\n\r\n for i in range(1, 5000):\r\n delta = abs(self.get_snr(p) - target)\r\n if delta < relaxation:\r\n self.availability = 100 - p\r\n return truncate(self.availability, 3)\r\n\r\n if delta_old < delta:\r\n if (abs(p_old - p) < 0.001) and (speed_old * speed < 1):\r\n self.availability = 100 - p\r\n return truncate(self.availability, 3)\r\n\r\n speed_old = speed\r\n speed = -1 * speed / 10\r\n p_old = p\r\n p += speed\r\n else:\r\n speed_old = speed\r\n speed = speed * 1.5\r\n p_old = p\r\n p += speed\r\n\r\n if p < 0.001:\r\n p_old = 100\r\n p = 0.001 + np.random.choice(np.arange(0.001, 0.002, 0.000005))\r\n speed_old = 1\r\n speed = 0.000005\r\n delta = abs(self.get_snr(p) - target)\r\n if p > 50:\r\n p_old = 100\r\n p = 50 - np.random.choice(np.arange(0.01, 2, 0.01))\r\n speed_old = 1\r\n speed = 0.000005\r\n\r\n # if speed > 2:\r\n # speed = 2\r\n # speed_old = 1\r\n\r\n delta_old = delta\r\n\r\n # if i % 500 == 0:\r\n # relaxation += 0.1\r\n\r\n sys.exit(\r\n 'Can\\'t reach the required SNR. You can change the modulation settings or the required snr relaxation!!!')\r\n\r\n def get_wm_availability(self): # get worst month availability - via ITU recommendation P.841-4\r\n if self.availability != None:\r\n self.wm_availability = 100 - (2.84 * (100 - self.availability) ** 0.87)"},{"alpha_fraction":0.47333332896232605,"alphanum_fraction":0.5866666436195374,"avg_line_length":19.428571701049805,"blob_id":"4a0be79207293ca190160bf13cd72816b4b41d30","content_id":"fd514a6546fafeee9b04ca5a033746980ee8ac87","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":150,"license_type":"permissive","max_line_length":54,"num_lines":7,"path":"/models/FsAtt.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"from numpy import log10\r\n\r\ndef FreeSpaceAtt(d, f): #d em km e f em MHz\r\n\r\n AttFs = 32.4 + 20 * log10(d) + 20 * log10(f* 1000)\r\n\r\n return AttFs\r\n"},{"alpha_fraction":0.6628674268722534,"alphanum_fraction":0.6784642934799194,"avg_line_length":40.177215576171875,"blob_id":"9b5624af6b411c29016d022babbf0aa5dd115f5f","content_id":"1693ba58e55821f04f89a4d5797043d2c8f0b609","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3334,"license_type":"permissive","max_line_length":112,"num_lines":79,"path":"/single_point_example.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"from GrStat import GroundStation, Reception\r\nfrom sat import Satellite\r\nimport numpy as np\r\n\r\n# ground station parameters\r\nsite_lat = -3.7 # [decimal degrees]\r\nsite_long = -45.9 # [decimal degrees]\r\nstation = GroundStation(site_lat, site_long)\r\n\r\n# satellite parameters\r\nsat_long = -70 # [decimal degrees]\r\nfreq = 15 # [Ghz]\r\neirp = 54 # [dBW]\r\nhsat = 35800 # satellite's height [km]\r\ntau = 90 # H=0, V = 90, circ = 45\r\nb_transponder = 36 # transponder bandwidth [MHz]\r\nb_util = 9 # effective used bandwidth [MHz]\r\nbackoff = 0 # not used for now!\r\ncontour = 0 # not used for now!\r\nrolloff = 0.2 # roll-off factor (raised cosine filter)\r\nmod = '8PSK' # modulation (from modcod file)\r\nfec = '120/180' # FEC (from modcod file)\r\n\r\n# creating the satellite object\r\nsat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\r\n\r\nsat.set_grstation(station) # relating the ground station object to a satellite one\r\n\r\n# reception parameters\r\nant_size = 1.2 # reception antenna diameter [m]\r\nant_eff = 0.6 # reception antenna efficiency\r\ncoupling_loss = 0 # [dB]\r\npolarization_loss = 3 # [dB]\r\nlnb_gain = 55 # [dB]\r\nlnb_noise_temp = 20 # [dB]\r\ncable_loss = 4 # [dB]\r\nmax_depoint = 0.1 # maximum depointing angle [degrees]\r\n\r\n# creating a reception object\r\nreception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\r\n max_depoint)\r\n\r\nsat.set_reception(reception) # relating the ground station object to a satellite one\r\n\r\np = np.random.rand() # creating a random percentage for the calculations\r\nprint('choosen p (%): ', p)\r\n\r\na_fs, a_dep, a_g, a_c, a_r, a_s, a_t, a_tot = sat.get_link_attenuation(p)\r\n\r\n# displaying some reception parameters/variables\r\nprint('reception SNR threshold ',sat.get_reception_threshold())\r\n\r\nprint('coordinates\\' earth\\'s radius: ', sat.grstation.get_earth_radius(), ' km')\r\nprint('elevation angle: ', sat.get_elevation(), ' degrees')\r\nprint('link distance: ', sat.get_distance(), ' km')\r\nprint('figure of merit: ', sat.get_figure_of_merit())\r\nprint('brightness temperature of the ground: ', sat.reception.get_ground_temp(), ' K')\r\nprint('sky brightness temperature', sat.reception.get_brightness_temp(), ' K')\r\nprint('antenna noise temperature: ', sat.reception.get_antenna_noise_temp(), ' K')\r\nprint('total noise temperature: ', sat.get_total_noise_temp(), ' K')\r\nprint('Rx antenna gain: ', sat.reception.get_antenna_gain(), ' dBi')\r\nprint('Rx antenna half power beamwidth: ', sat.reception.get_beamwidth(), ' degrees')\r\n\r\n# displaying some link budget calculation results\r\n\r\nprint(\"gaseous attenuation: \", a_g, ' dB')\r\nprint(\"cloud attenuation: \", a_c, ' dB')\r\nprint(\"rain attenuation: \", a_r, ' dB')\r\nprint(\"scintillation attenuation: \", a_s, ' dB')\r\nprint(\"total atmospheric attenuation: \", a_t, ' dB')\r\nprint('free-space attenuation: ', a_fs, ' dB')\r\nprint('depointing loss: ', a_dep, ' dB')\r\nprint('atmospheric + free-space attenuation: ', a_tot, ' dB')\r\nprint('link C/N0: ', sat.get_c_over_n0(p), ' dB-Hz')\r\nprint('link SNR: ', sat.get_snr(p), ' dB')\r\n\r\n# availability example calculation (this does not uses the variable p)\r\n# actually, this changes p to achieve the target the modulation target SNR\r\nprint('example link availability', sat.get_availability())\r\n\r\n"},{"alpha_fraction":0.7366666793823242,"alphanum_fraction":0.7516666650772095,"avg_line_length":38.13333511352539,"blob_id":"6fb29b1909fb8a5fabfa3006aead797595ea0ce4","content_id":"fb121de6a0c73d9c9d943bec734afe54829e9ead","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":600,"license_type":"permissive","max_line_length":128,"num_lines":15,"path":"/mkdocs/docs/contact.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# Contacts\r\n\r\nAny new functionalities and improvements are welcome! Please report bugs as well. \r\n\r\nWant to collaborate? Please fell free to contact us!\r\n\r\nGithub: [https://github.com/cfragoas/Satlink](https://github.com/cfragoas/Satlink)\r\n\r\ne-mail: [christianfragoas@gmail.com](mailto:christianfragoas@gmail.com?subject=[GitHub]%20SatLink)\r\n\r\n[Linkedin](https://br.linkedin.com/in/christian-rodrigues-177a5024)\r\n\r\nTwitter: [https://twitter.com/cfragoas](https://twitter.com/cfragoas) (I only tweet in Portuguese, but fell free to message me!)\r\n\r\nPlease mind that Satlink is a side project and bugfixes and updates take time to implement."},{"alpha_fraction":0.5712549090385437,"alphanum_fraction":0.5907019376754761,"avg_line_length":32.62105178833008,"blob_id":"d47e8292a6f93813cd68defccb40d204e1d1abf2","content_id":"20a057eec98bca2076618c0704f7f78b3f714c4d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3292,"license_type":"permissive","max_line_length":144,"num_lines":95,"path":"/multi_point_example.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import pandas as pd\r\nimport numpy as np\r\nfrom sat import Satellite\r\nfrom GrStat import GroundStation, Reception\r\nimport multiprocessing\r\nimport tqdm\r\nimport os\r\nimport datetime\r\n\r\n# this is a code example and very good approximation of the multi-point calculation used in link_performance.py\r\n\r\n\r\ndef point_availability(args): # function loop - return the availability to a given Lat/Long\r\n point = args[0]\r\n sat = args[1]\r\n reception = args[2]\r\n lat = point['Lat']\r\n long = point['Long']\r\n station = GroundStation(lat, long)\r\n sat.set_grstation(station)\r\n sat.set_reception(reception)\r\n point['availability'] = sat.get_availability()\r\n return point\r\n\r\n\r\nif __name__ == '__main__':\r\n\r\n # reading the input table\r\n location = 'input examples\\\\'\r\n file = 'list'\r\n point_list = pd.read_csv(location + file + '.csv', sep=';', encoding='latin1')\r\n point_list['availability'] = np.nan # creating an empty results column\r\n\r\n ##############################\r\n ### satellite parameters ###\r\n ##############################\r\n\r\n sat_long = -70 # [decimal degrees]\r\n freq = 18 # [Ghz]\r\n eirp = 54 # [dBW]\r\n hsat = 35800 # satellite's height [km]\r\n tau = 90 # H=0, V = 90, circ = 45\r\n b_transponder = 36 # transponder bandwidth [MHz]\r\n b_util = 9 # effective used bandwidth [MHz]\r\n backoff = 0 # not used for now!\r\n contour = 0 # not used for now!\r\n mod = '8PSK' # modulation (from modcod file)\r\n fec = '120/180' # FEC (from modcod file)\r\n rolloff = 0.2 # roll-off factor (raised cosine filter)\r\n\r\n # creating the satellite object\r\n sat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\r\n\r\n ##############################\r\n ### reception parameters ###\r\n ##############################\r\n ant_size = 1.2 # reception antenna diameter [m]\r\n ant_eff = 0.6 # reception antenna efficiency\r\n coupling_loss = 0 # [dB]\r\n polarization_loss = 3 # [dB]\r\n lnb_gain = 55 # [dB]\r\n lnb_noise_temp = 20 # temperatura de ruído do LNBF\r\n cable_loss = 4 # [dB]\r\n max_depoint = 0.1 # maximum depointing angle [degrees]\r\n\r\n # creating a reception object\r\n reception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\r\n max_depoint)\r\n\r\n cores = multiprocessing.cpu_count() - 2\r\n\r\n p = multiprocessing.Pool(processes=cores)\r\n\r\n # calculation loop\r\n\r\n data = list(\r\n tqdm.tqdm(p.imap_unordered(point_availability, [(city, sat, reception) for index, city in point_list.iterrows()]),\r\n total=len(point_list)))\r\n p.close()\r\n\r\n point_list.drop(point_list.index, inplace=True)\r\n point_list = point_list.append(data, ignore_index=True)\r\n point_list['unavailability time'] = round(((100 - point_list['availability'])/100) * 525600, 0) # calculating the unavailability in minutes\r\n\r\n\r\n # saving the results into a csv file\r\n\r\n path = 'results'\r\n if not os.path.exists(path):\r\n os.makedirs(path)\r\n\r\n point_list.to_csv(path + '\\\\' + 'results ' + datetime.datetime.now().strftime('%y-%m-%d_%H-%M-%S') + '.csv', sep=';',\r\n encoding='latin1')\r\n\r\n print('Complete!!!')\r\n\r\n"},{"alpha_fraction":0.5763111114501953,"alphanum_fraction":0.5966411232948303,"avg_line_length":31.623762130737305,"blob_id":"4decac54183e68a485488372d2c360efb59da661","content_id":"389f2d4bbb832b76154ae974355c52c743279be8","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3394,"license_type":"permissive","max_line_length":118,"num_lines":101,"path":"/example_multi_point_ant_size.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"from GrStat import GroundStation, Reception\r\nfrom sat import Satellite\r\nimport numpy as np\r\nimport multiprocessing\r\nimport pandas as pd\r\nimport tqdm\r\nimport time\r\n\r\n\r\ndef point_ant_size(args): # function loop - return the availability to a given Lat/Long\r\n min_ant_size = 0.5\r\n max_ant_size = 10\r\n step_ant_size = 0.2\r\n target_availability = 99.97\r\n\r\n point = args[0]\r\n sat = args[1]\r\n reception = args[2]\r\n lat = point['Lat']\r\n long = point['Long']\r\n station = GroundStation(lat, long)\r\n sat.set_grstation(station)\r\n sat.set_reception(reception)\r\n\r\n ant_size_vector = np.arange(min_ant_size, max_ant_size, step_ant_size)\r\n for ant_size in ant_size_vector:\r\n sat.reception.ant_size = ant_size\r\n # print(sat.get_availability())\r\n if sat.get_availability() >= target_availability:\r\n # print('ant_size ', ant_size)\r\n sat.reception.ant_size = ant_size - 0.1\r\n if sat.get_availability() >= target_availability:\r\n point['ant size'] = ant_size - 0.1\r\n else:\r\n point['ant size'] = ant_size\r\n break\r\n return point\r\n\r\n\r\nif __name__ == '__main__':\r\n\r\n # reading the input table\r\n location = 'input examples\\\\'\r\n file = 'list'\r\n point_list = pd.read_csv(location + file + '.csv', sep=';', encoding='latin1')\r\n point_list['ant size'] = np.nan # creating an empty results column\r\n\r\n # ground station parameters\r\n site_lat = -3.7 # [decimal degrees]\r\n site_long = -45.9 # [decimal degrees]\r\n station = GroundStation(site_lat, site_long)\r\n\r\n # satellite parameters\r\n sat_long = -70 # [decimal degrees]\r\n freq = 12 # [Ghz]\r\n eirp = 50 # [dBW]\r\n hsat = 35800 # satellite's height [km]\r\n tau = 90 # H=0, V = 90, circ = 45\r\n b_transponder = 36 # transponder bandwidth [MHz]\r\n b_util = 9 # effective used bandwidth [MHz]\r\n backoff = 0 # not used for now!\r\n contour = 0 # not used for now!\r\n rolloff = 0.2 # roll-off factor (raised cosine filter)\r\n mod = '8PSK' # modulation (from modcod file)\r\n fec = '120/180' # FEC (from modcod file)\r\n\r\n # creating the satellite object\r\n sat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\r\n\r\n # reception parameters\r\n ant_size = 1.2 # reception antenna diameter [m]\r\n ant_eff = 0.6 # reception antenna efficiency\r\n coupling_loss = 0 # [dB]\r\n polarization_loss = 3 # [dB]\r\n lnb_gain = 55 # [dB]\r\n lnb_noise_temp = 20 # [dB]\r\n cable_loss = 4 # [dB]\r\n max_depoint = 0.1 # maximum depointing angle [degrees]\r\n\r\n # creating a reception object\r\n reception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\r\n max_depoint)\r\n\r\n cores = multiprocessing.cpu_count() - 2\r\n\r\n p = multiprocessing.Pool(processes=cores)\r\n\r\n # calculation loop\r\n start_time = time.time()\r\n\r\n data = list(\r\n tqdm.tqdm(p.imap_unordered(point_ant_size, [(city, sat, reception) for index, city in point_list.iterrows()]),\r\n total=len(point_list)))\r\n p.close()\r\n\r\n point_list.drop(point_list.index, inplace=True)\r\n point_list = point_list.append(data, ignore_index=True)\r\n\r\n print(\"--- %s seconds ---\" % (time.time() - start_time))\r\n\r\n print(point_list)"},{"alpha_fraction":0.5815232396125793,"alphanum_fraction":0.5890843868255615,"avg_line_length":34.73737335205078,"blob_id":"6138f1c214983edf545ed3820dce29163150d12a","content_id":"5237cf1fdafafc7f3df3d20bbeac6dd2091828d7","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":7286,"license_type":"permissive","max_line_length":130,"num_lines":198,"path":"/antenna_size.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"from GrStat import GroundStation, Reception\r\nfrom sat import Satellite\r\nfrom pathos.pools import ParallelPool\r\nfrom scipy import interpolate\r\nimport pandas as pd\r\nimport numpy as np\r\nimport pickle\r\nimport tqdm\r\nimport datetime\r\nimport sys, os\r\n\r\n\r\n# this file contains the functions used to estimate antenna sizes and display the results in the interface\r\n\r\n\r\n# STILL NEED TO CREATE A HEADER IN THE CSV OUTPUT (mp_mp_ant_size)\r\n\r\ndef loop_graph_ant_size(args):\r\n sat = args[0]\r\n margin = args[1]\r\n snr_relaxation = args[2]\r\n ant_size = args[3]\r\n\r\n sat.reception.ant_size = round(ant_size, 1)\r\n\r\n availability = sat.get_availability(margin, snr_relaxation)\r\n\r\n return availability\r\n\r\n\r\ndef point_ant_size(args): # function loop - return the availability to a given Lat/Long\r\n min_ant_size = 0.5\r\n max_ant_size = 10\r\n step_ant_size = 0.2\r\n target_availability = args[5]\r\n\r\n point = args[0]\r\n sat = args[1]\r\n reception = args[2]\r\n margin = args[3]\r\n snr_relaxation = args[4]\r\n lat = point['Lat']\r\n long = point['Long']\r\n station = GroundStation(lat, long)\r\n sat.set_grstation(station)\r\n sat.set_reception(reception)\r\n\r\n ant_size_vector = np.arange(min_ant_size, max_ant_size, step_ant_size)\r\n for ant_size in ant_size_vector:\r\n sat.reception.ant_size = round(ant_size, 1)\r\n if sat.get_availability(margin, snr_relaxation) >= target_availability:\r\n sat.reception.ant_size = round(round(ant_size, 1) - 0.1, 1)\r\n if sat.get_availability(margin, snr_relaxation) >= target_availability:\r\n point['ant size'] = round(round(ant_size, 1) - 0.1, 1)\r\n else:\r\n point['ant size'] = round(ant_size, 1)\r\n break\r\n return point\r\n\r\n\r\ndef sp_ant_size(): # this function runs the availability for a single point and shows a complete output\r\n with open('temp\\\\args.pkl', 'rb') as f:\r\n (site_lat, site_long, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\r\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\r\n cable_loss, max_depoint, max_ant_size, min_ant_size, margin, cores) = pickle.load(f)\r\n f.close()\r\n\r\n #####################################\r\n ##### ground station parameters #####\r\n #####################################\r\n\r\n # creating a ground station object\r\n station = GroundStation(site_lat, site_long)\r\n\r\n ##############################\r\n ### satellite parameters ###\r\n ##############################\r\n\r\n data = pd.read_csv('models\\\\Modulation_dB.csv', sep=';')\r\n line = data.loc[(data.Modcod) == modcod]\r\n # tech = line['Tech'].values[0]\r\n mod = line['Modulation'].values[0]\r\n fec = line['FEC'].values[0]\r\n\r\n # criando o objeto satélite\r\n satellite = Satellite(sat_long, freq, max_eirp, sat_height, max_bw, bw_util, 0, 0, mod, roll_off, fec)\r\n\r\n # atribuindo uma estação terrena à um satélite\r\n satellite.set_grstation(station)\r\n\r\n ##############################\r\n ### reception parametters ####\r\n ##############################\r\n\r\n polarization_loss = 3 # perda de polarização, em dB\r\n\r\n # criando o objeto receptor\r\n reception = Reception(None, ant_eff, aditional_losses, polarization_loss, lnb_gain, lnb_temp, cable_loss,\r\n max_depoint)\r\n\r\n # atribuindo uma recepção à um enlace de satélite\r\n satellite.set_reception(reception) # setando o receptor do link de satélite\r\n\r\n ###################################\r\n ######### OUTPUTS #########\r\n ###################################\r\n\r\n ############ SNR target's calcullation ################\r\n\r\n step = 0.2\r\n interp_step = int(round((max_ant_size - min_ant_size) * 100))\r\n ant_size_vector = np.arange(min_ant_size, max_ant_size, step)\r\n ant_size_vector_interp = np.linspace(min_ant_size, max_ant_size, interp_step)\r\n\r\n # parallel loop for each antenna size\r\n pool = ParallelPool(nodes=round(cores/2)) #ARRUMAR AQUI\r\n availability_vector = list(pool.imap(loop_graph_ant_size, [(satellite, margin, 1, ant_size) for ant_size in ant_size_vector]))\r\n pool.clear()\r\n\r\n ant_size_vector = np.array(ant_size_vector)\r\n availability_vector = np.array(availability_vector)\r\n ant_size_vector = ant_size_vector[availability_vector > 60]\r\n availability_vector = availability_vector[availability_vector > 60]\r\n\r\n # a_BSpline = interpolate.make_interp_spline(ant_size_vector, availability_vector, k=2)\r\n # availability_vector_interp = a_BSpline(ant_size_vector_interp)\r\n\r\n availability_vector_interp = 0\r\n with open('temp\\\\args.pkl', 'wb') as f:\r\n pickle.dump(\r\n [ant_size_vector, ant_size_vector_interp, availability_vector, availability_vector_interp], f)\r\n f.close()\r\n\r\n return\r\n\r\n\r\ndef mp_ant_size():\r\n with open('temp\\\\args.pkl', 'rb') as f: # opening the input variables in the temp file\r\n (gr_station_path, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\r\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\r\n cable_loss, max_depoint, availability_target, snr_relaxation, margin, threads) = pickle.load(f)\r\n f.close()\r\n\r\n # reading the input table\r\n # dir = 'models\\\\'\r\n # file = 'CitiesBrazil'\r\n # cities = pd.read_csv(dir + file + '.csv', sep=';', encoding='latin1')\r\n # cities['availability'] = np.nan # creating an empty results column\r\n\r\n point_list = pd.read_csv(gr_station_path, sep=';', encoding='latin1') # creating a point dataframe from csv file\r\n\r\n data = pd.read_csv('models\\\\Modulation_dB.csv', sep=';')\r\n line = data.loc[data.Modcod == modcod]\r\n # tech = line['Tech'].values[0]\r\n mod = line['Modulation'].values[0]\r\n fec = line['FEC'].values[0]\r\n\r\n # creating the satellite object\r\n sat = Satellite(sat_long, freq, max_eirp, sat_height, max_bw, bw_util, 0, 0, mod, roll_off, fec)\r\n\r\n polarization_loss = 3\r\n\r\n reception = Reception(None, ant_eff, aditional_losses, polarization_loss, lnb_gain, lnb_temp, cable_loss,\r\n max_depoint) # creating the receptor object\r\n\r\n # ======================== PARALLEL POOL =============================\r\n\r\n pool = ParallelPool(nodes=threads) # creating the parallelPoll\r\n\r\n sys.stderr = open('temp\\\\out.txt', 'w') # to print the output dynamically\r\n\r\n print('initializing . . .', file=sys.stderr)\r\n\r\n # running the parallel pool\r\n data = list(\r\n tqdm.tqdm(pool.imap(point_ant_size,\r\n [(point, sat, reception, margin, snr_relaxation, availability_target) for index, point in\r\n point_list.iterrows()]),\r\n total=len(point_list)))\r\n pool.clear()\r\n\r\n point_list.drop(point_list.index, inplace=True)\r\n point_list = point_list.append(data, ignore_index=True)\r\n\r\n # saving the results into a csv file\r\n\r\n dir = 'results'\r\n if not os.path.exists(dir):\r\n os.makedirs(dir)\r\n\r\n point_list.to_csv(dir + '\\\\' + 'results_ant ' + datetime.datetime.now().strftime('%y-%m-%d_%H-%M-%S') + '.csv', sep=';',\r\n encoding='latin1')\r\n\r\n print('Complete!!!', file=sys.stderr)\r\n\r\n sys.stderr.close()\r\n\r\n return\r\n"},{"alpha_fraction":0.7568027377128601,"alphanum_fraction":0.7576530575752258,"avg_line_length":47,"blob_id":"1cdb713be2adcaf30b83ada40a26cc037f234cfc","content_id":"bae9ac919ed8e9fcaab8dfd4e293cb3780810d86","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":1176,"license_type":"permissive","max_line_length":126,"num_lines":24,"path":"/mkdocs/docs/faq.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# FAQ\r\n\r\n* Does functionalty X will be implemented in Satlink?\r\n\r\nCurrentely, the plans are to add some map visualisations and more robust XPS calculations. \r\nAny other functionalities or improvements are not in planning. Feel free to suggest any via [contacts](contact.md).\r\n\r\n* I've found a bug! What should I need to do?\r\n\r\nFirst, check the issues pages at Github (https://github.com/cfragoas/SatLink/issues). If the issue is not there, \r\n you can add it or contact me (see [contacts](contact.md)).\r\n\r\n* What's the difference in using Satlink via command line and the graphical interface?\r\n\r\nUsing Satlink via command line can give the user a bit more freedom. The classes and their individual functions can be used to\r\ncreate new functionalities. Using Satlink via graphical interface can be a lot easier but also limits these possibilities.\r\n\r\n* Can Satlink be used in Linux/Windows/Mac?\r\n\r\nYes. Satlink is implemented in Python 3 and can be used in any supported OS.\r\n\r\n* I don't know the parameters to simulate one or all the calculations! What should I do?\r\n\r\nThe parameters can be consulted in [code description page](code_use.md) and [GUI usage page](gui_use.md).\r\n"},{"alpha_fraction":0.5338929295539856,"alphanum_fraction":0.5654101967811584,"avg_line_length":37.2049674987793,"blob_id":"f1f606cb7333a52ee83d4874b5aef076b9134106","content_id":"e515dfdd44965419e8bba2a16e544257dbbf2cde","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6345,"license_type":"permissive","max_line_length":131,"num_lines":161,"path":"/GrStat.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import numpy as np\r\nimport pandas as pd\r\nfrom scipy import constants as const\r\nfrom models import util\r\nimport sys\r\n\r\n\r\n# retorna parâmetros tabelados referenciados as coordenadas da estação terrena\r\n# lat/long em formato de graus\r\n\r\nclass GroundStation:\r\n\r\n def __init__(self, site_lat, site_long):\r\n self.site_lat = site_lat\r\n self.site_long = site_long\r\n\r\n # variáveis calculadas internamente na classe\r\n\r\n def get_earth_radius(self):\r\n a = 6378137 # m\r\n b = 6356752.3142 # m\r\n phi = self.site_lat\r\n radius = (np.sqrt((((a ** 2) * np.cos(phi)) ** 2 + ((b ** 2) * np.cos(phi)) ** 2) / # km\r\n ((a * np.cos(phi)) ** 2 + (b * np.cos(phi)) ** 2))) / 1000\r\n return radius\r\n\r\n def getnearpos(self, array, value):\r\n # função para buscar os índices mais próximos dos valores amostrados nas tabelas (h0 e R001)\r\n idx = (np.abs(array - value)).argmin()\r\n return idx\r\n\r\n def get_R001(self):\r\n # função que retorna o valor de R001 dadas as coordenadas da estação terrena (ref. ITU 837-7)\r\n # R001 - taxa de precipitação da chuva excedida em 0.01% do ano\r\n\r\n R001_table = pd.read_csv('R001.csv', sep=';', index_col=0) # linha=lat, coluna=long\r\n\r\n linhas_R001 = R001_table.index.to_numpy()\r\n colunas_R001 = R001_table.columns.to_numpy().astype('int32')\r\n\r\n R001 = (R001_table.iloc[self.getnearpos(linhas_R001, self.site_lat * 1000), self.getnearpos(colunas_R001,\r\n self.site_long * 1000)]) / 1000\r\n # tem que dividir por mil pelo formato que os dados da planilha são formatados (sem casa decimais)\r\n\r\n return R001\r\n\r\n def get_h0(self):\r\n # função que retorna o valor de h0 dadas as coordenadas da estação terrena (ref. ITU 839-4)\r\n # h0 - altura isotérmica sobre o nível do mar\r\n\r\n h0_table = pd.read_csv('h0.csv', sep=';', index_col=0) # linha=lat, coluna=long\r\n\r\n linhas_h0 = h0_table.index.to_numpy()\r\n colunas_h0 = h0_table.columns.to_numpy().astype('int32')\r\n\r\n h0 = h0_table.iloc[\r\n self.getnearpos(linhas_h0, self.site_lat * 1000), self.getnearpos(colunas_h0, self.site_long * 1000)]\r\n\r\n return h0\r\n\r\n def get_hR(self):\r\n # função que retorna o valor de hR dadas as coordenadas da estação terrena (ref. ITU 839-4)\r\n # hR - altura média anual da chuva sobre o nível do mar\r\n hR = self.get_h0() + 0.36\r\n return hR\r\n\r\n\r\nclass Reception:\r\n\r\n def __init__(self, ant_size=1.2, ant_eff=0.6, coupling_loss=0.5, polarization_loss=3, lnb_gain = 60, lnb_noise_temp=20,\r\n cable_loss=5, max_depoint = 0):\r\n\r\n self.ant_size = ant_size\r\n self.ant_eff = ant_eff\r\n self.coupling_loss = coupling_loss # perda do feeder\r\n self.polarization_loss = polarization_loss # perda de polarizacao (3dB de linear para circular ou vice e versa)\r\n self.lnb_gain = lnb_gain\r\n self.lnb_noise_temp = lnb_noise_temp\r\n self.cable_loss = cable_loss\r\n self.max_depoint = max_depoint # maximum depointing angle between transmission and reception\r\n\r\n # vairáveis para armazenar os parâmetros calculados internamente na classe\r\n self.gain = None\r\n self.t_ground = None\r\n self.t_sky = None\r\n self.t_ant = None\r\n self.total_noise_temp = None\r\n self.figure_of_merit = None # G/T\r\n self.angle_3db = None # 3 db or half-power angle\r\n self.a_dep = None\r\n\r\n # parâmetros de outras classes e não setados ou calculados em na classe Reception\r\n self.freq = None\r\n self.e = None\r\n self.a_rain = None\r\n\r\n def set_parameters(self, freq, e):\r\n self.freq = freq\r\n self.e = e\r\n pass\r\n\r\n def get_antenna_gain(self):\r\n if self.freq is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\r\n else:\r\n self.gain = (10 * np.log10(self.ant_eff * (np.pi * self.ant_size * self.freq * (10 ** 9) /\r\n (const.c)) ** 2))\r\n return self.gain\r\n\r\n def get_beamwidth(self):\r\n if self.angle_3db is not None:\r\n return self.angle_3db\r\n elif self.ant_size is None or self.freq is None:\r\n sys.exit('You need to set the antenna size and system frequency before this calculation!!!')\r\n else:\r\n self.angle_3db = 70 * (const.c / (self.freq * 10 ** 9 * self.ant_size))\r\n\r\n return self.angle_3db\r\n\r\n def get_depoint_loss(self):\r\n if self.a_dep is not None:\r\n return self.a_dep\r\n self.a_dep = 12 * ((self.max_depoint/self.get_beamwidth()) ** 2)\r\n\r\n return self.a_dep\r\n\r\n def get_ground_temp(self):\r\n if self.t_ground is not None:\r\n return self.t_ground\r\n else:\r\n if self.e < -10:\r\n self.t_ground = 290\r\n elif 0 > self.e > -10:\r\n self.t_ground = 150\r\n elif 10 > self.e > 0:\r\n self.t_ground = 50\r\n elif 90 > self.e > 10:\r\n self.t_ground = 10\r\n else:\r\n sys.exit('Ground temperature can only be calculated for elevation angles between -10 and 90!!!')\r\n return self.t_ground\r\n\r\n def get_brightness_temp(self, printer=False):\r\n if self.freq is None or self.e is None:\r\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\r\n elif self.t_sky is not None:\r\n return self.t_sky\r\n else:\r\n data = pd.read_csv('models\\\\ClearSkyTemp ITU 372.csv', sep=';', index_col=0)\r\n self.t_sky = util.curve_interpolation(self.freq, self.e, data)\r\n if printer:\r\n print('elevation: ', self.e, ' freq: ', self.freq, ' Tsky (brightness temperature): ', self.t_sky)\r\n\r\n return self.t_sky\r\n\r\n def get_antenna_noise_temp(self):\r\n if self.t_ant is not None:\r\n return self.t_ant\r\n else:\r\n self.t_ant = self.get_brightness_temp() + self.get_ground_temp()\r\n return self.t_ant\r\n\r\n"},{"alpha_fraction":0.666991114616394,"alphanum_fraction":0.6725528240203857,"avg_line_length":30.89719581604004,"blob_id":"960f8c43b6474a077817ffd352e9806c22dc6add","content_id":"18ea75577cb1dd73068c8108e8e3f460fabe7509","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":7193,"license_type":"permissive","max_line_length":145,"num_lines":214,"path":"/mkdocs/docs/code_use.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"#Code-based usage\r\nSatLink is structured with three main classes [Satellite](#satellite), [Reception](#reception) and \r\n[GroundStation](#groundstation). For the most functions, \r\nthe user needs to instance an object of each class and relate these objects with a **set-type** function. \r\nPlease check the [example](#examples) files.\r\n\r\nFor example, to calculate one link availability, execute the following steps:\r\n\r\nImport the modules:\r\n\r\n from GrStat import GroundStation, Reception\r\n from sat import Satellite\r\n\r\nInstanciate the objects of each class:\r\n\r\n station = GroundStation(site_lat, site_long)\r\n sat = Satellite(sat_long, freq, eirp_max, hsat, b_transponder, b_util, _, _, mod, rolloff, fec)\r\n receptor = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss, desfoc_max)\r\n\r\nUse the set functions:\r\n\r\n sat.set_grstation(station)\r\n sat.set_reception(receptor)\r\n\r\nUse the link availability function with default values:\r\n\r\n availability = sat.get_availability()\r\n print(availability)\r\n\r\n# Examples\r\nCode-based examples can be found in Satlink main folder as **single_point_example.py**, **multi_point_example.py**,\r\n**example_single_point_ant_size.py** and **example_multi_point_ant_size.py**. These examples use the majority of class functions\r\n and emulate the GUI calculations.\r\n\r\n#Classes\r\n##Satellite\r\nSatellite is the code's main class. It has the majority of functions. Its parameters are:\r\n\r\n###Parameters\r\n\r\n* sat_long: geostationary satellite longitude in degrees\r\n* freq: frequency in GHz\r\n* eirp_max: transponder maximun E.I.R.P. in dBW\r\n* h_sat: satellite height in Km\r\n* b_transp: transponder bandwidth in MHz\r\n* b_util: actual used transponder bandwidth\r\n* back_off: decrease in transmitted power to avoid non-linear amplification\r\n* modulation: please check **Modulation_dB.csv** in **models** folder to see the available modulations\r\n* fec: please check **Modulation_dB.csv** in **models** folder to see the available options\r\n* roll_off: factor of spectral efficiency, ROF (Roll-Off Factor)\r\n\r\n### Functions\r\nSatellite class functions are:\r\n\r\n* to set the GroundStation object of the link the user wants to compute\r\n\r\n .set_grstation(grstation: GroundStation)\r\n\r\n* to set the Reception object of the link the user wants to compute\r\n\r\n .set_reception(reception: Reception)\r\n\r\n* to return the elevation angle between satellite and ground station (degrees)\r\n \r\n .get_elevation() # need set_grstation()\r\n\r\n\r\n* to return the azimuth angle between satellite and ground station (degrees)\r\n \r\n .get_azimuth() # need set_grstation()\r\n\r\n\r\n * to return the distance between satellite and ground station (km)\r\n \r\n .get_distance() # need set_grstation()\r\n\r\n\r\n * to return the threshold for a given modulation and FEC\r\n \r\n .get_reception_treshold()\r\n\r\n\r\n* to return multiple attenuation values: a_fs, depointing_loss, a_g, a_c, a_r, a_s, a_t, a_tot\r\n \r\n .get_link_attenuation(p=0.001, method='approx') # need set_grstation() and set_reception()\r\n\r\n\r\n * a_fs: free-space attenuation (dB)\r\n * depointing_loss: depointing for a given max. align mismatch (dB)\r\n * a_g: gaseous attenuation (dB)\r\n * a_c: cloud attenuation (dB)\r\n * a_r: rain attenuation (dB)\r\n * a_s: scintillation or tropospheric attenuation (dB)\r\n * a_t: total atmospheric attenuation (dB)\r\n * a_tot: total attenuation (free-space + atmospheric) (dB)\r\n\r\n
\r\n\r\n* to return total attenuation values: a_t, a_tot and depoint_loss\r\n \r\n .get_total_attenuation(p= None) # need set_grstation() and set_reception()\r\n\r\n * a_t: total atmospheric attenuation (dB)\r\n * a_tot: total attenuation (free-space + atmospheric) (dB)\r\n * depoint_loss: depointing for a given max. align mismatch (dB)\r\n\r\n
\r\n\r\n* to return the power flux density at the reception (W/m²)\r\n \r\n .get_get_power_flux_density(p=None) # need set_grstation() and set_reception()\r\n\r\n\r\n* to return the antenna noise temperature under rain conditions (K)\r\n \r\n .get_antenna_noise_rain(p=None) # need set_grstation() and set_reception()\r\n\r\n* to return reception's total noise temperature (K)\r\n \r\n .get_total_noise_temp(p=None) # need set_grstation() and set_reception()\r\n\r\n* to return the link's figure of merit (G/T) (dB/K)\r\n \r\n .get_figure_of_merit(p=None) # need set_grstation() and set_reception()\r\n\r\n\r\n* to return the carrier over noise per bandwidth unit (dB-Hz)\r\n \r\n .get_c_over_n0(p=None) # need set_grstation() and set_reception()\r\n\r\n* to return the signal over noise (dB)\r\n \r\n .get_snr(p=None) # need set_grstation() and set_reception()\r\n\r\n* to return the link availability (%/year) for a SNR + a given margin (dB) with a relaxation (dB) over the target value\r\n \r\n .get_availability(margin=0, relaxation=0.1) # need set_grstation() and set_reception()\r\n \r\n * margin: summed value over the modulation threshold to be considered. If margin = 0, the calculation target equals the modulation threshold.\r\n * relaxation: (+-) relaxation over the error between the target value and actual SNR in availability calculation\r\n \r\n\r\n##Reception\r\n\r\n###Parameters\r\n\r\n* ant_size: antenna diameter in meters\r\n* ant_eff: antenna efficiency (between 0 and 1)\r\n* coupling_loss: coupling losses in dB\r\n* polarization_loss: polarization loss in dB\r\n* lnb_gain: LNB gain in dB\r\n* lnb_noise_temp: LNB noise temperature in Kelvin\r\n* cable_loss: cable loss in dB\r\n* max_depoint: maximum depointing angle between transmission and reception (degrees)\r\n\r\n###Functions\r\n\r\nReception class functions are:\r\n\r\n* to return the calculated antenna gain (dB)\r\n \r\n .get_antenna_gain()\r\n\r\n* to return the antenna 3dB beamwidth (degrees)\r\n \r\n .get_beamwidth():\r\n\r\n* to return the calculated maximum depoint loss based on the maximum depointing angle (dB)\r\n \r\n .get_depoint_loss()\r\n\r\n* to return the ground temperature received in the antenna (Kelvin)\r\n \r\n .get_ground_temp(self):\r\n\r\n* to return the sky brightness temperature received in the antenna (Kelvin)\r\n \r\n .get_brightness_temp():\r\n\r\n* to return the total antenna noise temperature (Kelvin)\r\n \r\n .get_antenna_noise_temp(self):\r\n\r\n\r\n##GroundStation\r\n\r\n###Parameters\r\n\r\n* site_lat: site latitude in decimal degrees\r\n* site_long: site longitude in decimal degrees\r\n\r\n###Functions\r\nReception class functions are:\r\n\r\n* to return the earth radius from lat, long (km)\r\n \r\n .get_earth_radius(self)\r\n\r\n* to return a nearest value from a point of a table. It is used in get_R001, get_h0 and get_hR.\r\n Its an auxiliary function and should be moved to another class in the future.\r\n \r\n getnearpos(self, array, value)\r\n\r\n* to return the R001 (rain exceedance in 0.01% of year) value from ITU 837-7\r\n \r\n get_R001(self)\r\n\r\n* to return h0 (isometric height) from ITU 839-4\r\n \r\n get_h0(self)\r\n\r\n* to return hR (annual rain height) from ITU 839-4\r\n \r\n get_hR(self)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"},{"alpha_fraction":0.6500366926193237,"alphanum_fraction":0.6551724076271057,"avg_line_length":44.20338821411133,"blob_id":"c6638d962d7d40d6ceb7d3512da55627901ee747","content_id":"23f7dd598d46a3b568d3f8085422fa73a696ea6d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2726,"license_type":"permissive","max_line_length":118,"num_lines":59,"path":"/atm_atnn.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"from GrStat import GroundStation, Reception\r\nfrom sat import Satellite\r\nimport sys, os\r\nimport pickle\r\nimport numpy as np\r\nimport time\r\n\r\n# This function runs the atmospheric attenuation functions and prepare the interface outputs\r\n\r\ndef calc_atm_atnn():\r\n with open('temp\\\\args.pkl', 'rb') as f:\r\n p, site_lat, site_long, ant_size, ant_eff, sat_long, freq, method = pickle.load(f)\r\n f.close()\r\n\r\n sys.stdout = open('temp\\\\out.txt', 'w') # creating a output file to show in the interface\r\n gr_station = GroundStation(site_lat, site_long)\r\n satellite = Satellite(sat_long, freq)\r\n reception = Reception(ant_size, ant_eff)\r\n\r\n satellite.set_grstation(gr_station)\r\n satellite.set_reception(reception)\r\n\r\n start = time.time()\r\n # running the atmospheric attenuation calculations and storing the results\r\n a_fs, a_dep, a_g, a_c, a_r, a_s, a_t, a_tot = satellite.get_link_attenuation(p, method)\r\n\r\n # preparing the outputs\r\n # ====== REMEMBER TO ADJUST TO 3 DECIMALS ALL OUTPUTS!!!!! =======\r\n print('RESULTS', file=sys.stdout)\r\n print('', file=sys.stdout)\r\n print('Reception characteristics:', file=sys.stdout)\r\n print('', file=sys.stdout)\r\n print('Earth\\'s radius in lat/long: ', np.round(satellite.grstation.get_earth_radius(),3), ' km', file=sys.stdout)\r\n print('Elevation angle: ', np.round(satellite.get_elevation(), 3), ' degress', file=sys.stdout)\r\n print('Link length: ', np.round(satellite.get_distance(), 3), 'km', file=sys.stdout)\r\n print('Ground noise temperature: ', np.round(satellite.reception.get_ground_temp(), 3), ' K', file=sys.stdout)\r\n print('Sky brightness temperature', np.round(satellite.reception.get_brightness_temp(), 3), ' K', file=sys.stdout)\r\n print('', file=sys.stdout)\r\n print('', file=sys.stdout)\r\n\r\n print('Link budget Aaalysis:', file=sys.stdout)\r\n print('', file=sys.stdout)\r\n print(\"Gaseous attenuation: \", np.round(a_g, 3), file=sys.stdout)\r\n print(\"Cloud attenuation: \", np.round(a_c, 3), file=sys.stdout)\r\n print(\"Rain attenuation: \", np.round(a_r, 3), file=sys.stdout)\r\n print(\"Scintillation attenuation: \", np.round(a_s, 3), file=sys.stdout)\r\n print(\"Total atmospheric attenuation: \", np.round(a_t, 3), file=sys.stdout)\r\n print('Free space attenuation: ', np.round(a_fs, 3), file=sys.stdout)\r\n print('Free space + atmospheric + depointing attenuation: ', np.round(a_tot, 3), ' dB', file=sys.stdout)\r\n\r\n print('', file=sys.stdout)\r\n print('Runtime: ', np.round(time.time() - start, 2), ' s', file=sys.stdout)\r\n\r\n if os.path.exists('temp\\\\args.pkl'): # deleting the input variables temp file\r\n os.remove('temp\\\\args.pkl')\r\n\r\n sys.stdout.close()\r\n\r\n return\r\n"},{"alpha_fraction":0.7476653456687927,"alphanum_fraction":0.7568134069442749,"avg_line_length":38.42856979370117,"blob_id":"7fa0fa98b5600c36feb2350f5bdb54b14efcbbf3","content_id":"748eb7171feb3ab819c14dc06583a78c3b619b78","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":5248,"license_type":"permissive","max_line_length":281,"num_lines":133,"path":"/README.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# SatLink\n\n<img src=\"pics/LogoSatLink225_225_white.png\" alt=\"logo\" width=\"150\"/>\n\nSatLink is a python based application that runs speciffic satellite downlink calcullations. It has a GUI and his main functions are:\n\n - Atmospheric attenuation calcullation (via [itur])\n - Single and multi-point downlink avaiability calcullation (input and output csv file)\n - Antenna size estimation for a desired availability (single point graphic plot and multi point csv output)\n - Save and load parameters for satellites, ground stations and reception characteristics\n - Totally free !!!\n\nThis project is a attempt to simplify satellite's link budget calcullations and to create a tool for teaching purposes. Please check the [**documentation**](https://cfragoas.github.io/SatLink/) for more detailed information.\n\n# GUI Interface\nFor those that dont like code writing\n\n<img src=\"https://i.imgur.com/ZMpcxgH.png\" alt=\"screenshot\" width=\"500\"/>\n\n - Simple Qt Gui made for simple usage\n - Drop lists can be edited via model folder\n\nTo run the calcullations via GUI interface, run the python file **main_window.py**. The main window will appear. Now, just choose the functions in the action menu\n\nDetailed information about the usage of the GUI can be found in the [**documentation**](https://cfragoas.github.io/SatLink/).\n\n# Using SatLink via python commands \n SatLink consists of three main classes \n \n - Satellite class\n - Ground Station class\n - Reception class\n\nYou need to define those three objects and set their relationship\n```sh\nfrom GrStat import GroundStation, Reception\nfrom sat import Satellite\n\n# creating the objects\nstation = GroundStation(site_lat, site_long)\nsat = Satellite(sat_long, freq, eirp_max, hsat, b_transponder, b_util, _, _, mod, rolloff, fec)\nreceptor = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss, desfoc_max)\n\n# relating the objets to the satellite\nsat.set_grstation(station)\nsat.set_reception(receptor) \n\n# example - calcullating the link availability\navailability = sat.get_availability()\nprint(availability) # 0 - 100 percentage\n\n# example - calcullating the power flux density in the reception point and the antenna noise in rain conditions\npw_flx = sat.get_power_flux_density()\nprint(pw_flx) # watts/m²\nant_noise = sat.reception.get_antenna_noise_temp()\nprint(ant_noise) # Kelvin\nant_noise_rain = sat.get_antenna_noise_rain()\nprint(ant_noise_rain) # Kelvin\n```\n\nThe other functions are detailed in the [**documentation**](https://cfragoas.github.io/SatLink/).\n\n### Libraries\n\nSatLink uses a bunch of differente open source python libraries\n\n* [itur] - A python implementation of the ITU-R P. Recommendations to compute atmospheric attenuation in slant and horizontal paths\n* [pyqt] - PyQt is a set of Python bindings for The Qt Company's Qt application framework\n* [tqdm] - Instantly make your loops show a smart progress meter\n* [pathos] - It provides a consistent high-level interface for configuring and launching parallel computations across heterogeneous resources.\n* [pandas] - Fast, powerful, flexible and easy to use open source data analysis and manipulation tool\n* [astropy] - Common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages\n* [numpy] - The fundamental package for scientific computing with Python\n\n### Installation\n\nSatLink is currently tested only in python 3.\nJust copy all the folders and files to any directory and make sure all packages are installed. To install the packages, just run **first_setup.py**, located in the main SatLink's folder, for a fresh package installation or run the following commands\n\n```sh\npip install -r requirements.txt\n```\n\nor\n\n```sh\npip install itur==0.2.1\npip install tqdm==4.56.0\npip install pandas==1.2.1\npip install pathos==0.2.7\npip install astropy==4.2\npip install pyqt5==5.15.2\npip install matplotlib==3.4.1\n```\n\nRun **main_window.py** to start the applicaiton via interface.\n\n### Contributions\n\nSince this is still a early version of the code, we expect there some problem can be found, We are tottaly open for contributions and bug/problems reports. **Please tell us!**\n\n### Future Developments\n\nSome updates are planned for the future of the SatLink\n\n* Worst month availabilty calcullation\n* More robust XPD calculations\n\n### Authorship\n\nAll the code development was made by Christian Rodrigues.\n\nContact: christianfragoas@gmail.com\n\n### Credits\n\n[Globo] - For supporting the very first release version of the application\n\n[Caio Alexandre] - Logo designer\n\n\n[//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax)\n\n\n [Globo]: <https://globoplay.globo.com/>\n [itur]: <https://github.com/iportillo/ITU-Rpy>\n [pathos]: <https://github.com/uqfoundation/pathos>\n [tqdm]: <https://github.com/tqdm/tqdm>\n [pandas]: <https://pandas.pydata.org/>\n [astropy]: <https://www.astropy.org/>\n [numpy]: <https://numpy.org/>\n [pyqt]: <https://riverbankcomputing.com/software/pyqt/intro>\n [Caio Alexandre]: <https://www.instagram.com/caioalexandredasilva> \n"},{"alpha_fraction":0.3980582654476166,"alphanum_fraction":0.6213592290878296,"avg_line_length":13,"blob_id":"b37ab1dacca9a113db1d501dd0c538e0dcc718e0","content_id":"d8bdaf041ab72a791702f8df4d91417a3b8ad55b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Text","length_bytes":103,"license_type":"permissive","max_line_length":17,"num_lines":7,"path":"/requirements.txt","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"itur==0.2.1\r\ntqdm==4.56.0\r\npandas==1.2.1\r\npathos==0.2.7\r\nastropy==4.2\r\npyqt5==5.15.2\r\nmatplotlib==3.4.1"},{"alpha_fraction":0.7296631336212158,"alphanum_fraction":0.7345932722091675,"avg_line_length":37.16128921508789,"blob_id":"85e1f7bcffd7778fd2c651c7a65605a1fb8dd9e3","content_id":"edf83fbdf6058b87c57e8cd71af036c61148cbb3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":1217,"license_type":"permissive","max_line_length":111,"num_lines":31,"path":"/mkdocs/docs/index.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# SatLink Documentation\r\n\r\n<p align=\"center\">\r\n <img src=\"..\\images\\home_logo.png\" alt=\"logo\" width=\"250\"/>\r\n</p>\r\n\r\nSatLink is a python-based application that implements satellite link budget downlink \r\ncalculations. Github page is [https://github.com/cfragoas/Satlink](https://github.com/cfragoas/Satlink). \r\n\r\nLink budget analysis consists in different aspects, from free-space and atmospheric attenuation, transmiting\r\nand receiving system characteristics such as power, antenna gains, modulations, \r\ncorrection codes, among others.\r\n\r\nSatlink has a GUI that can be used to simply generate results involving link attenuation, \r\navailability and antenna size estimation for one or multiple points. It also has functions to compute multiple \r\nparameters involving an earth-space downlink link-budget.\r\n\r\n<p align=\"center\">\r\n <img src=\"..\\images\\home_print.jpeg\" alt=\"gui example\" width=\"400\"/>\r\n</p>\r\n\r\n## Contents\r\n\r\n* [Installation](installation.md)\r\n* [GUI usage](gui_use.md)\r\n* [Code-based usage](code_use.md)\r\n* [F.A.Q.](faq.md)\r\n* [Contacts](contact.md)\r\n\r\n## Want to collaborate? Please [contact](contact.md) us!!!\r\nAny new functionalities and improvements are welcome! Please report bugs as well.\r\n\r\n "},{"alpha_fraction":0.3712972402572632,"alphanum_fraction":0.4867211580276489,"avg_line_length":42,"blob_id":"a45e9a38523dee8065f739628faff0f40add1275","content_id":"7f56f115e866fbff91e8dedb4a37eacca1b71a9d","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3943,"license_type":"permissive","max_line_length":107,"num_lines":89,"path":"/models/spec_att.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import numpy as np\r\n\r\n\r\n# cálculo da atenuação específica da chuva\r\n# segundo a ITU-R P.838-3 (https://www.itu.int/rec/R-REC-P.838/en)\r\n\r\nclass specific_attenuation:\r\n # coeficientes para kH, segundo a tabela 1 da ITU 838-3\r\n vars_kH = {\"aj\": [-5.33980, -0.35351, -0.23789, -0.94158],\r\n \"bj\": [-0.10008, 1.26970, 0.86036, 0.64552],\r\n \"cj\": [1.13098, 0.45400, 0.15354, 0.16817],\r\n \"mk\": -0.18961,\r\n \"ck\": 0.71147}\r\n\r\n # coeficientes para kV, segundo a tabela 2 da ITU 838-3\r\n vars_kV = {\"aj\": [-3.80595, -3.44965, -0.39902, 0.50167],\r\n \"bj\": [0.56934, -0.22911, 0.73042, 1.07319],\r\n \"cj\": [0.81061, 0.51059, 0.11899, 0.27195],\r\n \"mk\": -0.16398,\r\n \"ck\": 0.63297}\r\n\r\n # coeficientes para alfaH, segundo a tabela 3 da ITU 838-3\r\n vars_alfaH = {\"aj\": [-0.14318, 0.29591, 0.32177, -5.37610, 16.1721],\r\n \"bj\": [1.82442, 0.77564, 0.63773, -0.96230, -3.29980],\r\n \"cj\": [-0.55187, 0.19822, 0.13164, 1.47828, 3.43990],\r\n \"m_alfa\": 0.67849,\r\n \"c_alfa\": -1.95537}\r\n\r\n # coeficientes para alfaV, segundo a tabela 4 da ITU 838-3\r\n vars_alfaV = {\"aj\": [-0.07771, 0.56727, -0.20238, -48.2991, 48.5833],\r\n \"bj\": [2.33840, 0.95545, 1.14520, 0.791669, 0.791459],\r\n \"cj\": [-0.76284, 0.54039, 0.26809, 0.116226, 0.116479],\r\n \"m_alfa\": -0.053739,\r\n \"c_alfa\": 0.83433}\r\n\r\n def eq_k(self, aj, bj, cj, mk, ck, f):\r\n # esta função calcula kH ou kV, segundo a equação (2) da ITU 838-3\r\n aj = np.array(aj)\r\n bj = np.array(bj)\r\n cj = np.array(cj)\r\n summation = np.sum(aj * np.exp(-(((np.log10(f) - bj) / cj) ** 2))) + mk * np.log10(f) + ck\r\n\r\n return 10 ** summation\r\n\r\n def eq_alfa(self, aj, bj, cj, m_alfa, c_alfa, f):\r\n # esta função calcula alfaV ou alfaH, segundo a equação (3) da ITU 838-3\r\n aj = np.array(aj)\r\n bj = np.array(bj)\r\n cj = np.array(cj)\r\n summation = np.sum(aj * np.exp(-(((np.log10(f) - bj) / cj) ** 2))) + m_alfa * np.log10(f) + c_alfa\r\n\r\n return summation\r\n\r\n def get_k(self, f, E, tau):\r\n # esta função calcula k, segundo a equação (4) da ITU 838-3\r\n E = np.radians(E)\r\n tau = np.radians(tau)\r\n\r\n kH = self.eq_k(self.vars_kH['aj'], self.vars_kH['bj'], self.vars_kH['cj'], self.vars_kH['mk'],\r\n self.vars_kH['ck'], f)\r\n kV = self.eq_k(self.vars_kV['aj'], self.vars_kV['bj'], self.vars_kV['cj'], self.vars_kV['mk'],\r\n self.vars_kV['ck'], f)\r\n\r\n k = (kV + kV + (kH - kV) * (np.cos(E) ** 2) * (np.cos(2 * tau))) / 2\r\n return k, kV, kH\r\n\r\n def get_alfa(self, f, E, tau):\r\n # esta função calcula alfa, segundo a equação (5) da ITU 838-3\r\n E = np.radians(E)\r\n tau = np.radians(tau)\r\n\r\n alfaH = self.eq_alfa(self.vars_alfaH['aj'], self.vars_alfaH['bj'], self.vars_alfaH['cj'],\r\n self.vars_alfaH['m_alfa'],\r\n self.vars_alfaH['c_alfa'], f)\r\n alfaV = self.eq_alfa(self.vars_alfaV['aj'], self.vars_alfaV['bj'], self.vars_alfaV['cj'],\r\n self.vars_alfaV['m_alfa'],\r\n self.vars_alfaV['c_alfa'], f)\r\n k, kV, kH = self.get_k(f, E, np.degrees(tau))\r\n alfa = ((kH * alfaH + kV * alfaV + (kH * alfaH - kV * alfaV) * (np.cos(E) ** 2) *\r\n (np.cos(2 * tau))) / (2 * k))\r\n\r\n return alfa, alfaV, alfaH\r\n\r\n def get_gamaR(self, R001, f, E, tau):\r\n # esta função calcula o coeficiente de atenuação específica gamaR, segundo a equação (1) da ITU 838\r\n k, _, _ = self.get_k(f, E, tau)\r\n alfa, _, _ = self.get_alfa(f, E, tau)\r\n gamaR = k * (R001) ** alfa\r\n return gamaR\r\n"},{"alpha_fraction":0.7158253192901611,"alphanum_fraction":0.7311400771141052,"avg_line_length":43.25640869140625,"blob_id":"737f2a5a63de7d5c0cd47e80aa6df8de732371fd","content_id":"da5270508140144bce2988bfa1adcacba5d06b01","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":1763,"license_type":"permissive","max_line_length":129,"num_lines":39,"path":"/mkdocs/docs/installation.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# SatLink Installation\r\n\r\nSatLink needs a Python 3 installation to run. It is recommended an environment with python 3.9.\r\n\r\nYou can download Python in [python.org](https://www.python.org/downloads/).\r\n\r\nTo install, just copy all the folders and files to any directory and make sure all packages/libraries are installed.\r\n\r\n## Packages\r\n\r\nSatLink has dependencies and needs some packages to run. They are: [itur](https://pypi.org/project/itur/#description),\r\n[Numpy](https://numpy.org/), [tqdm](https://github.com/tqdm/tqdm), [pathos](https://github.com/uqfoundation/pathos),\r\n[pandas](https://pandas.pydata.org/), [Astropy](https://www.astropy.org/).\r\n\r\nTo use the graphical user interface, it also needs [PyQt5](https://riverbankcomputing.com/software/pyqt/intro).\r\n\r\nOne can install SatLink simply by running **first_setup.py**. It will install all the packages, including PyQt for the GUI usage.\r\n\r\nAlternatively, run the following command:\r\n \r\n pip install -r requirements.txt\r\n\r\nIf an IDE, like [PyCharm](https://www.jetbrains.com/pt-br/pycharm/), \r\nis being used, it will automatically detect the requirements file and ask to install the packages (including PyQt).\r\n\r\nLastly, the packages can be installed individually. Here's the code with the currently tested versions:\r\n\r\n pip install itur==0.2.1\r\n pip install tqdm==4.56.0\r\n pip install pandas==1.2.1\r\n pip install pathos==0.2.7\r\n pip install astropy==4.2\r\n pip install pyqt5==5.15.2\r\n pip install matplotlib==3.4.1\r\n\r\n##Using SatLink\r\nRun **main_window.py** to start the user interface. Please refer to [GUI usage](gui_use.md) for more information.\r\n\r\nFor more detailed information about the code-based functions and classes, please refer to [Code-based usage](code_use.md)."},{"alpha_fraction":0.653598964214325,"alphanum_fraction":0.6805912852287292,"avg_line_length":32.21977996826172,"blob_id":"74019029ebfe3b9df4baee197973742069e2150f","content_id":"8da4f30b41db450a69c090c7591a8a38611dfd90","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3112,"license_type":"permissive","max_line_length":112,"num_lines":91,"path":"/example_single_point_ant_size.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"from GrStat import GroundStation, Reception\r\nfrom sat import Satellite\r\nfrom scipy import interpolate\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\n\r\n# ground station parameters\r\nsite_lat = -3.7 # [decimal degrees]\r\nsite_long = -45.9 # [decimal degrees]\r\nstation = GroundStation(site_lat, site_long)\r\n\r\n# satellite parameters\r\nsat_long = -70 # [decimal degrees]\r\nfreq = 12 # [Ghz]\r\neirp = 54 # [dBW]\r\nhsat = 35800 # satellite's height [km]\r\ntau = 90 # H=0, V = 90, circ = 45\r\nb_transponder = 36 # transponder bandwidth [MHz]\r\nb_util = 9 # effective used bandwidth [MHz]\r\nbackoff = 0 # not used for now!\r\ncontour = 0 # not used for now!\r\nrolloff = 0.2 # roll-off factor (raised cosine filter)\r\nmod = '8PSK' # modulation (from modcod file)\r\nfec = '120/180' # FEC (from modcod file)\r\n\r\n# creating the satellite object\r\nsat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\r\n\r\nsat.set_grstation(station) # relating the ground station object to a satellite one\r\n\r\n# reception parameters\r\nant_size = 1.2 # reception antenna diameter [m]\r\nant_eff = 0.6 # reception antenna efficiency\r\ncoupling_loss = 0 # [dB]\r\npolarization_loss = 3 # [dB]\r\nlnb_gain = 55 # [dB]\r\nlnb_noise_temp = 20 # [dB]\r\ncable_loss = 4 # [dB]\r\nmax_depoint = 0.1 # maximum depointing angle [degrees]\r\n\r\n# creating a reception object\r\nreception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\r\n max_depoint)\r\n\r\nsat.set_reception(reception) # relating the ground station object to a satellite one\r\n\r\navailability_vector = []\r\n\r\nant_min = 0.6\r\nant_max = 4.5\r\nstep = 0.2\r\ninterp_step = int(round((ant_max - ant_min) * 100))\r\n\r\nant_size_vector = np.arange(ant_min, ant_max, step)\r\nx_new = np.linspace(ant_min, ant_max, interp_step)\r\n\r\ncheck = False\r\nfor ant_size in ant_size_vector:\r\n sat.reception.ant_size = ant_size\r\n availability_vector.append(sat.get_availability())\r\n # print(sat.get_availability())\r\n if sat.get_availability() >= 99.999 and check is False:\r\n max_availability_x = ant_size\r\n max_availability_y = sat.get_availability()\r\n check = True\r\n\r\na_BSpline = interpolate.make_interp_spline(ant_size_vector, availability_vector)\r\ny_new = a_BSpline(x_new)\r\nfig, (ax1, ax2) = plt.subplots(2)\r\nfig.suptitle('Antenna Size x Year availability')\r\navailability_time_vector = (1 - np.array(availability_vector)/100) * 8760\r\n\r\n# ax1.plot(ant_size_vector, availability_vector)\r\nax1.plot(x_new, y_new)\r\n\r\nax2.plot(ant_size_vector, availability_time_vector)\r\n# ax1.xlabel(' Antenna Size (m)')\r\n# ax1.ylabel(' Availability (%year)')\r\n# ax2.ylabel(' Availability (hours/year)')\r\n\r\nplt.setp(ax1, ylabel='Availability (%year)')\r\nplt.setp(ax2, xlabel='Antenna size')\r\nplt.setp(ax2, ylabel='Availability (hours/year)')\r\nplt.show()\r\n\r\n# plt.plot(ant_size_vector, availability_vector)\r\n# plt.plot(max_availability_x, max_availability_y)\r\n# plt.xlabel(' Antenna Size (m)')\r\n# plt.ylabel(' Availability (%year)')\r\n# plt.title('Antenna Size x Year availability')\r\n# plt.show()"},{"alpha_fraction":0.5568408370018005,"alphanum_fraction":0.5624251961708069,"avg_line_length":32.81944274902344,"blob_id":"09426af886165000c5577536c1583d45372e5268","content_id":"6c903605451f9848f26f69993b95ad9dfca447d7","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2507,"license_type":"permissive","max_line_length":101,"num_lines":72,"path":"/file_dialog.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import sys\r\nfrom PyQt5.QtWidgets import QApplication, QWidget, QInputDialog, QLineEdit, QFileDialog\r\nfrom PyQt5.QtGui import QIcon\r\nfrom PyQt5 import QtCore, QtGui\r\nimport pickle\r\n\r\n\r\n# file dialog window\r\n# used to save and load the ground station, satellite and reception files\r\n# it uses the function open_dialog(opt, type) to run the window\r\n# opt is to choose 'save' or 'load' options\r\n# type a string used to define the extension of the file\r\n\r\nclass Dialog(QWidget):\r\n\r\n def __init__(self, opt, type):\r\n super().__init__()\r\n self.title = 'PyQt5 file dialogs - pythonspot.com'\r\n self.left = 10\r\n self.top = 10\r\n self.width = 640\r\n self.height = 480\r\n self.opt = opt\r\n self.type = type\r\n self.initUI()\r\n self.fileName = None\r\n\r\n def initUI(self):\r\n self.setWindowTitle(self.title)\r\n self.setGeometry(self.left, self.top, self.width, self.height)\r\n\r\n if self.opt == 'save':\r\n self.saveFileDialog()\r\n elif self.opt == 'load':\r\n self.openFileNameDialog()\r\n else:\r\n sys.exit('Dialog boss option not expected!')\r\n # self.openFileNamesDialog()\r\n\r\n def openFileNameDialog(self):\r\n options = QFileDialog.Options()\r\n options |= QFileDialog.DontUseNativeDialog\r\n fileDialog = QFileDialog(self)\r\n fileDialog.setAttribute(QtCore.Qt.WA_QuitOnClose, False)\r\n self.fileName, _ = fileDialog.getOpenFileName(None, \"Open File\", \"\",\r\n self.type + \";;All Files (*)\", options=options)\r\n if self.fileName:\r\n with open('temp\\\\load.pkl', 'wb') as f:\r\n pickle.dump(self.fileName, f)\r\n f.close()\r\n return\r\n else:\r\n return\r\n\r\n def saveFileDialog(self):\r\n options = QFileDialog.Options()\r\n options |= QFileDialog.DontUseNativeDialog\r\n fileDialog = QFileDialog(self)\r\n fileDialog.setAttribute(QtCore.Qt.WA_QuitOnClose, False)\r\n self.fileName, _ = fileDialog.getSaveFileName(None, \"Save File\", \"\",\r\n self.type + \";;All Files (*)\", options=options)\r\n if self.fileName:\r\n with open('temp\\\\save.pkl', 'wb') as f:\r\n pickle.dump(self.fileName, f)\r\n f.close()\r\n return\r\n else:\r\n return\r\n\r\n\r\ndef open_dialog(opt, type):\r\n Dialog(opt, type)\r\n"},{"alpha_fraction":0.5366364121437073,"alphanum_fraction":0.6015352606773376,"avg_line_length":24.766355514526367,"blob_id":"f8bc7170370e0966ae2bbc1cb1dbb376a37894b4","content_id":"b9c3faf032eee9d715c7bb04816b1a3331adc86c","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2894,"license_type":"permissive","max_line_length":114,"num_lines":107,"path":"/models/RainAtt.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import numpy as np\r\nfrom numpy import log as ln\r\nfrom models.spec_att import specific_attenuation\r\nfrom sat import satellite\r\nfrom GrStat import ground_station\r\n\r\n\r\n# VARIÁVEIS DE ENTRADA\r\n\r\nsite_lat = -3.7\r\nsite_long = -45.9\r\nsat_long = -70\r\nf = 3.5\r\ntau = 90 #H=0, V = 90, circ = 45\r\nhS = 0.447 #altura da estação terrena\r\nant_diam = 1.2\r\np = 0.01\r\n\r\nstation = ground_station(site_lat, site_long, ant_diam)\r\n# primeiro passo - determinar R0,01\r\n\r\nR001 = station.get_R001()\r\n\r\n# segundo passo - calcular a altura efetiva da chuva hR\r\n\r\nhR = station.get_hR()\r\n\r\n# terceiro passo - calcular o percurso inclinado na chuva LS\r\n# hs - altura da estação terrena\r\n# E - angulo de elevação\r\n\r\nsat = satellite(sat_long, f)\r\nE = sat.get_elevation(site_lat, site_long)\r\nLS = (hR - hS) / np.sin(np.radians(E))\r\n\r\n# quarto passo - calcular a projeção no plano horizontal (LG) do percurso inclinado\r\n\r\nLG = LS * np.cos(np.radians(E))\r\n\r\n# quinto passo - calular a atenuação específica gamaR\r\n# isto é feito através da classe specific_attenuation (ref. ITU P.838-3)\r\n\r\ngamaR = specific_attenuation().get_gamaR(R001, f, E, tau)\r\n\r\n# sexto passo - calcular o fator de redução horizontal r001\r\n\r\nr001 = (1 + 0.078 * np.sqrt(LG * gamaR / f) - 0.38 * (1 - np.exp(-2 * LG))) ** (-1)\r\n\r\n# sétimo passo - calcular o fator de ajuste vertical v001\r\n# para se obter o v001, é necessário calcular outras variáveis - zeta, LR e chi\r\n\r\n# zeta (graus)\r\nzeta = np.tan(np.radians((hR - hS) / (LG * r001))) ** (-1)\r\n\r\n# LR (km)\r\nif zeta > E:\r\n LR = LG * r001 / np.cos(np.radians(E))\r\nelse:\r\n LR = (hR - hS) / np.sin(np.radians(E))\r\n# chi\r\nif abs(site_lat) < 36:\r\n chi = 36 - abs(site_lat)\r\nelse:\r\n chi = 0\r\n\r\nv001 = (1 + np.sqrt(np.sin(np.radians(E))) * (\r\n 31 * (1 - np.exp(-E / (1 + chi))) * (np.sqrt(LR * gamaR) / f ** 2) - 0.45)) ** (-1)\r\n\r\n# oitavo passo - calcular a distância LE do percurso (km)\r\n\r\nLE = LR * v001\r\n\r\n# nono passo - finalmente, a atenuação excedida para 0,01% da média anual A001\r\n\r\nA001 = gamaR * LE\r\n\r\n# CONVERSÃO PARA OUTROS VALORES DO PROBABILIDADE p DA CHUVA ALÉM DE 0,01% (menor que 5%)\r\n\r\nif p > 0.0001:\r\n # determinação de beta\r\n\r\n if p >= 0.01 or abs(site_lat) > 36:\r\n beta = 0\r\n elif p <= 0.01 and abs(site_lat) < 36 and E > 25:\r\n beta = -0.005 * (abs(site_lat) - 36)\r\n else:\r\n beta = -0.005 * (abs(site_lat) - 36) + 1.8 - 4.25 * np.sin(np.radians(E))\r\n\r\n # convertendo o balor de A001 para o valor Ap de um p diferente\r\n\r\n Ap = A001 * (p / 0.01) ** -(0.655 + 0.033 * ln(p) - 0.045 * ln(A001) - beta * (1 - p) * np.sin(np.radians(E)))\r\n\r\nelse:\r\n\r\n Ap = A001\r\nprint('E ', E)\r\nprint('hR ', hR)\r\nprint('LS ', LS)\r\nprint('LG ', LG)\r\nprint('zeta ', zeta)\r\nprint('chi ', chi)\r\nprint('gamaR ', gamaR)\r\nprint('r001 ', r001)\r\nprint('vv001 ', v001)\r\nprint('LE ', LE)\r\nprint('AP ', Ap)\r\nprint('A001 ', A001)\r\n\r\n"},{"alpha_fraction":0.5985184907913208,"alphanum_fraction":0.6340740919113159,"avg_line_length":35.61111068725586,"blob_id":"932caf519d3c8e90d0f1a7621495ebb062aac26f","content_id":"c178e8fc976423750fc2dd91b1dcbfe75b98d677","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":675,"license_type":"permissive","max_line_length":113,"num_lines":18,"path":"/first_setup.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"import sys\r\nimport subprocess\r\n\r\n# package list must follow the installation guide in README.md\r\npackage_list = ('itur==0.2.1', 'tqdm==4.56.0', 'pandas==1.2.1', 'pathos==0.2.7', 'astropy==4.2', 'pyqt5==5.15.2',\r\n 'matplotlib==3.4.1')\r\n\r\nfor package in package_list:\r\n # implement pip as a subprocess:\r\n subprocess.check_call([sys.executable, '-m', 'pip', 'install',package])\r\n\r\n # process output with an API in the subprocess module:\r\n reqs = subprocess.check_output([sys.executable, '-m', 'pip','freeze'])\r\n installed_packages = [r.decode().split('==')[0] for r in reqs.split()]\r\n\r\n print(installed_packages)\r\n\r\nprint('Process Completed!!!')"},{"alpha_fraction":0.7215891480445862,"alphanum_fraction":0.7234538197517395,"avg_line_length":41.768707275390625,"blob_id":"bc3ee179bf5c5b80c52b29a4767274b4d27d6449","content_id":"9b86d5cfef983304576cb40d0ef402192f0edc20","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":19306,"license_type":"permissive","max_line_length":156,"num_lines":441,"path":"/mkdocs/docs/gui_use.md","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# Graphical User Interface\r\n\r\nTo use Satlink's graphical interface, the user must run **main_window.py** via python.\r\n\r\nFrom there, the user has 4 list options [File](#file), [Single Point Calculation](#single-point-calculation), \r\n[List Calculation](#list-calculation) and [Help](#help).\r\n\r\n\r\n\r\n
\r\n\r\n## File\r\nSame as Satlink's main classes, the graphical user interface uses 3 types of parameters: [satellite parameters](#satellite), \r\n[reception parameters](#reception) and [ground station parameters](#ground-station). Each one has a unique file extension and can be saved/loaded. \r\nThe File menu lists page options to manage these files outside of calculation windows.\r\n\r\nSee [save/load dialog](#saveload-dialog-boxes) window for more details in these options and [file types](#file-types).\r\n\r\n\r\n\r\n### Satellite\r\n\r\nTo create a satellite, one user must fill the following fields:\r\n\r\n* Name: satellite identification name \r\n* Longitude: geostationary satellite longitude in degrees\r\n* Frequency: frequency in GHz\r\n* E.I.R.P: transponder maximum E.I.R.P. in dBW\r\n* Altitude: satellite height in Km\r\n* Transponder's max bandwidth: transponder bandwidth in MHz\r\n* Effective bandwidth: actual used transponder bandwidth\r\n* back_off: decrease in transmitted power to avoid non-linear amplification\r\n* Modulation: modulations and FEC combinations from the available list of modulations/FECs\r\n* Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\r\n* Polarization: horizontal, vertical or circular polarization\r\n\r\n\r\n\r\nClick on \"Save\" button to save satellite parameters to a .sat file. \r\n\r\nClick on \"Load\" button to load satellite parameters from a .sat file.\r\n\r\nClick on \"Clear\" button to clear all fields on the screen.\r\n\r\n### Ground Station\r\n\r\nTo create a ground station, one user must fill the following fields:\r\n\r\n* Name: ground station identification name \r\n* Latitude: site latitude in decimal degrees\r\n* Longitude: site longitude in decimal degrees\r\n\r\n\r\n\r\nClick on \"Save\" button to save satellite parameters to a .gst file. \r\n\r\nClick on \"Load\" button to load satellite parameters from a .gst file.\r\n\r\nClick on \"Clear\" button to clear all fields on the screen.\r\n\r\n### Reception\r\n\r\nTo create a reception system, one user must fill the following fields:\r\n\r\n* Name: reception identification name \r\n* Antenna size: antenna diameter in meters\r\n* Antenna efficiency: antenna efficiency (between 0 and 1)\r\n* LNB gain: LNB (Low Noise Block) in dB\r\n* LNB noise temp.: LNB noise temperature in Kelvin\r\n* Additional losses: connection and any other losses considered at reception in dB\r\n* Cable loss: cable loss in dB\r\n* Maximum depointing: maximum depointing angle between transmission and reception (degrees)\r\n\r\n\r\n\r\nClick on \"Save\" button to save satellite parameters to a .rcp file. \r\n\r\nClick on \"Load\" button to load satellite parameters from a .rcp file.\r\n\r\nClick on \"Clear\" button to clear all fields on the screen.\r\n\r\n## Single Point Calculation\r\n\r\nSingle point calculations consists in 3 types of functionalities: [Atmospheric Attenuation](#atmospheric-attenuation), \r\n[Downlink Performance](#downlink-performance) and [Antenna Size](#antenna-size). This type of operation returns a complete analysis in a report type format.\r\n\r\n\r\n\r\n### Atmospheric Attenuation\r\n\r\nIn this screen, the user can estimate complete atmospheric attenuation data with minimum parameters.\r\n\r\n#### Inputs\r\n\r\n* **Reception parameters** (ground station coordinates + reception antenna parameters):\r\n * Latitude: site longitude in decimal degrees\r\n * Longitude: site longitude in decimal degrees\r\n * Antenna size: antenna diameter in meters\r\n * Antenna efficiency: antenna efficiency (between 0 and 1) \r\n* **Satellite parameters**:\r\n * Longitude: geostationary satellite longitude in degrees\r\n * Frequency: frequency in GHz\r\n * Polarization: horizontal, vertical or circular polarization\r\n* Excess % of time per year: percentage of time the values are exceeded\r\n* Method: exact or approximate calculation methods from ITU 676\r\n \r\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\r\n\r\n#### Buttons\r\n\r\n* Load Ground Station: loads latitude and longitude from a .gst file.\r\n* Load Reception: loads antenna size and antenna efficiency from a .rcp file.\r\n* Load Satellite: loads satellite parameters from a .sat file.\r\n\r\n\r\n\r\n\r\n\r\n#### Outputs\r\n\r\n* Earth's radius in lat/long (km)\r\n* Elevation angle (degrees)\r\n* Link length (km)\r\n* Ground noise temperature (K)\r\n* Sky brightness temperature (K)\r\n* Antenna noise temperature (K)\r\n* Antenna noise temperature w/ rain (K)\r\n* Total noise temperature (K)\r\n* Reception antenna gain (dBi)\r\n* Reception antenna 3dB beamwidth (degrees)\r\n* Figure of Merit (dB/K)\r\n* Gaseous attenuation (dB)\r\n* Cloud attenuation (dB)\r\n* Rain attenuation (dB)\r\n* Scintillation attenuation (dB)\r\n* Total atmospheric attenuation (dB)\r\n* Free space attenuation (dB)\r\n* Free space + atmospheric + depointing attenuation (dB)\r\n\r\n\r\n### Downlink Performance\r\n\r\nIn this screen, the user can estimate a link budget and availability of a satellite downlink.\r\n\r\n#### Inputs\r\n\r\n* **Ground Station parameters**\r\n * Name: ground station identification name \r\n * Latitude: site latitude in decimal degrees\r\n * Longitude: site longitude in decimal degrees\r\n* **Satellite parameters**\r\n * Name: satellite identification name \r\n * Longitude: geostationary satellite longitude in degrees\r\n * Frequency: frequency in GHz\r\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\r\n * Altitude: satellite height in Km\r\n * Transponder's max bandwidth: transponder bandwidth in MHz\r\n * Effective bandwidth: actual used transponder bandwidth\r\n * back_off: decrease in transmitted power to avoid non-linear amplification\r\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\r\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\r\n * Polarization: horizontal, vertical or circular polarization\r\n* **Reception parameters**\r\n * Name: reception identification name \r\n * Antenna size: antenna diameter in meters\r\n * Antenna efficiency: antenna efficiency (between 0 and 1)\r\n * LNB gain: LNB (Low Noise Block) in dB\r\n * LNB noise temp.: LNB noise temperature in Kelvin\r\n * Additional losses: connection and any other losses considered in the reception in dB\r\n * Cable loss: cable loss in dB\r\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\r\n* **Calculation parameters**\r\n * SNR target relaxation: (+-) relaxation over the error between the target value and actual snr in availability\r\n calculation\r\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \r\n the calculation target equals the modulation threshold.\r\n \r\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\r\n\r\n#### Buttons\r\n\r\n* **Ground Station buttons**\r\n * Clear: clears ground station fields\r\n * Load: loads ground station parameters from a .gst file.\r\n * Save: loads ground station parameters into a .gst file.\r\n* **Reception buttons**\r\n * Clear: clears reception fields\r\n * Load Reception: loads reception parameters from a .rcp file.\r\n * Save: loads reception parameters into a .rcp file.\r\n* **Satellite buttons**\r\n * Clear: clears satellite fields\r\n * Load Reception: loads satellite parameters from a .rcp file.\r\n * Save: loads satellite parameters into a .rcp file.\r\n* Calculate: runs the link performance calculation.\r\n\r\n\r\n\r\n#### Outputs\r\n\r\n* Link budget at 0.001% of the year\r\n * C/N0 (dB)\r\n * SNR (dB)\r\n* Actual SNR target's availability (year%)\r\n* Reception characteristics:\r\n * Earth's radius in lat/long (km)\r\n * Elevation angle (degrees)\r\n * Link length (km)\r\n * Ground noise temperature (K)\r\n * Sky brightness temperature (K)\r\n * Antenna noise temperature (K)\r\n * Antenna noise temperature w/ rain (K)\r\n * Total noise temperature (K)\r\n * Reception antenna gain (dBi)\r\n * Reception antenna 3dB beamwidth (degrees)\r\n * Figure of Merit (dB/K)\r\n* Link budget Analysis:\r\n * Gaseous attenuation (dB)\r\n * Cloud attenuation (dB)\r\n * Rain attenuation (dB)\r\n * Scintillation attenuation (dB)\r\n * Total atmospheric attenuation (dB)\r\n * Free space attenuation (dB)\r\n * Free space + atmospheric + depointing attenuation (dB)\r\n * Reception threshold (SNR) (dB)\r\n \r\n### Antenna Size\r\n\r\nIn this screen, the user can estimate the availability for multiple antenna sizes of a satellite downlink.\r\n\r\n#### Inputs\r\n\r\n* **Ground Station parameters**\r\n * Name: ground station identification name \r\n * Latitude: site latitude in decimal degrees\r\n * Longitude: site longitude in decimal degrees\r\n* **Satellite parameters**\r\n * Name: satellite identification name \r\n * Longitude: geostationary satellite longitude in degrees\r\n * Frequency: frequency in GHz\r\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\r\n * Altitude: satellite height in Km\r\n * Transponder's max bandwidth: transponder bandwidth in MHz\r\n * Effective bandwidth: actual used transponder bandwidth\r\n * back_off: decrease in transmitted power to avoid non-linear amplification\r\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\r\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\r\n * Polarization: horizontal, vertical or circular polarization\r\n* **Reception parameters**\r\n * Name: reception identification name\r\n * Antenna efficiency: antenna efficiency (between 0 and 1)\r\n * LNB gain: LNB (Low Noise Block) in dB\r\n * LNB noise temp.: LNB noise temperature in Kelvin\r\n * Additional losses: connection and any other losses considered in the reception in dB\r\n * Cable loss: cable loss in dB\r\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\r\n* **Calculation parameters**\r\n * Ant. min. size: minimum antenna diameter to be calculated in meters\r\n * Ant. max. size: maximum antenna diameter to be calculated in meters\r\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \r\n the calculation target equals the modulation threshold.\r\n \r\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\r\n\r\n#### Buttons\r\n\r\n* **Ground Station buttons**\r\n * Clear: clears ground station fields\r\n * Load: loads ground station parameters from a .gst file.\r\n * Save: loads ground station parameters into a .gst file.\r\n* **Reception buttons**\r\n * Clear: clears reception fields\r\n * Load Reception: loads reception parameters from a .rcp file.\r\n * Save: loads reception parameters into a .rcp file.\r\n* **Satellite buttons**\r\n * Clear: clears satellite fields\r\n * Load Reception: loads satellite parameters from a .rcp file.\r\n * Save: loads satellite parameters into a .rcp file.\r\n* Calculate button: runs the link performance calculation.\r\n* Export graph button: save the displayed graph in a .png image file.\r\n\r\n\r\n\r\n#### Outputs\r\n\r\nThere are two outputs in this operation: a list in text format containing antenna size vs. availability and \r\na matplotlib graph will also be displayed.\r\n\r\n## List Calculation \r\n\r\nMultiple point calculations consists in 2 functionalities: **Downlink Performance** and **Antenna Size**. \r\nThese operations use a .csv file as input and return a new .csv file with a result column.\r\n\r\n\r\n\r\n### Downlink Performance\r\n\r\nIn this screen, the user can estimate the availability of satellite downlink for multiple points.\r\n\r\n##### Inputs\r\n* Path: path to the input .csv file \r\n * .csv file columns: Name, Lat, Long, Delta Footprint (optional)\r\n * Name: point name\r\n * Lat: point latitude in decimal degrees\r\n * Longitude: point longitude in decimal degrees\r\n * Delta Footprint: optional argument. Represents the difference between the maximum power \r\n received and the received one in the chosen coordinate (in case of footprint differences between coordinates)\r\n * a .csv example can be found in **input examples** folder\r\n* **Satellite parameters**\r\n * Name: satellite identification name \r\n * Longitude: geostationary satellite longitude in degrees\r\n * Frequency: frequency in GHz\r\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\r\n * Altitude: satellite height in Km\r\n * Transponder's max bandwidth: transponder bandwidth in MHz\r\n * Effective bandwidth: actual used transponder bandwidth\r\n * back_off: decrease in transmitted power to avoid non-linear amplification\r\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\r\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\r\n * Polarization: horizontal, vertical or circular polarization\r\n* **Reception parameters**\r\n * Name: reception identification name \r\n * Antenna size: antenna diameter in meters\r\n * Antenna efficiency: antenna efficiency (between 0 and 1)\r\n * LNB gain: LNB (Low Noise Block) in dB\r\n * LNB noise temp.: LNB noise temperature in Kelvin\r\n * Additional losses: connection and any other losses considered in the reception in dB\r\n * Cable loss: cable loss in dB\r\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\r\n* **Calculation parameters**\r\n * SNR target relaxation: (+-) relaxation over the error between the target value and actual SNR in availability\r\n calculation\r\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \r\n the calculation target equals the modulation threshold.\r\n * Threads: number of simultaneous executed calculations. The maximum number o threads depends on the user's processor. \r\n \r\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\r\n\r\n#### Buttons\r\n\r\n* Browse button: opens a dialog box to select the .csv file used as input for the calculations.\r\n* **Reception buttons**\r\n * Clear: clears reception fields\r\n * Load Reception: loads reception parameters from a .rcp file.\r\n * Save: loads reception parameters into a .rcp file.\r\n* **Satellite buttons**\r\n * Clear: clears satellite fields\r\n * Load Reception: loads satellite parameters from a .rcp file.\r\n * Save: loads satellite parameters into a .rcp file.\r\n* Calculate: runs the link performance calculation.\r\n\r\n\r\n\r\n#### Outputs\r\n\r\nA progress bar will appear when the process is started. When the process is completed, the progress bar will \r\ndisappear, and a 'Complete!' message will show up. After that, the user can see the .csv output file in **results** folder. \r\n\r\n### Antenna Size\r\n\r\nIn this screen, the user can estimate the availability of satellite downlink for multiple points.\r\n\r\n##### Inputs\r\n* Path: path to the input .csv file \r\n * .csv file columns: Name, Lat, Long, Delta Footprint (optional)\r\n * Name: point name\r\n * Lat: point latitude in decimal degrees\r\n * Longitude: point longitude in decimal degrees\r\n * Delta Footprint: optional argument. Represents the difference between the maximum power \r\n received and the received one in the chosen coordinate (in case of footprint differences between coordinates)\r\n * a .csv example can be found in **input examples** folder\r\n* **Satellite parameters**\r\n * Name: satellite identification name \r\n * Longitude: geostationary satellite longitude in degrees\r\n * Frequency: frequency in GHz\r\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\r\n * Altitude: satellite height in Km\r\n * Transponder's max bandwidth: transponder bandwidth in MHz\r\n * Effective bandwidth: actual used transponder bandwidth\r\n * back_off: decrease in transmitted power to avoid non-linear amplification\r\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\r\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\r\n * Polarization: horizontal, vertical or circular polarization\r\n* **Reception parameters**\r\n * Name: reception identification name\r\n * LNB gain: LNB (Low Noise Block) in dB\r\n * LNB noise temp.: LNB noise temperature in Kelvin\r\n * Additional losses: connection and any other losses considered in the reception in dB\r\n * Cable loss: cable loss in dB\r\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\r\n * Antenna efficiency: antenna efficiency (between 0 and 1)\r\n* **Calculation parameters**\r\n * Availability target: availability to be achieved in calculations (% - between 0 and 99.999). \r\n Satlink will choose the minimum atenna size for the chosen availability.\r\n * SNR target relaxation: (+-) relaxation over the error between the target value and actual SNR in availability\r\n calculation\r\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \r\n the calculation target equals the modulation threshold.\r\n * Threads: number of simultaneous executed calculations. The maximum number o threads depends on the user's processor. \r\n \r\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\r\n\r\n#### Buttons\r\n\r\n* Browse button: opens a dialog box to select the .csv file used as input for the calculations.\r\n* **Reception buttons**\r\n * Clear: clears reception fields\r\n * Load Reception: loads reception parameters from a .rcp file.\r\n * Save: loads reception parameters into a .rcp file.\r\n* **Satellite buttons**\r\n * Clear: clears satellite fields\r\n * Load Reception: loads satellite parameters from a .rcp file.\r\n * Save: loads satellite parameters into a .rcp file.\r\n* Calculate: runs the link performance calculation.\r\n\r\n\r\n\r\n#### Outputs\r\n\r\nA progress bar will appear when the process is started. When the process is completed, the progress bar will \r\ndisappear, and a 'Complete!' message will show up. After that, the user can see the .csv output file in **results** folder.\r\n\r\n## Save/load dialog boxes\r\n\r\nWhen every save/load/export button is clicked, a dialog box will open with file path, name and type as options.\r\n\r\n\r\n\r\n\r\n\r\nTrying to load a different type of file extension might crash the software.\r\n\r\n## File types\r\n\r\nFor file input examples, please check **inputs_examples** folder.\r\n\r\n* **.sat** - satellite characteristics file\r\n* **.rcp** - reception characteristics file\r\n* **.gsp** - ground station characteristics file\r\n* **.csv** - list calculation functions input/output format\r\n\r\n## Help\r\n\r\n\r\n"},{"alpha_fraction":0.5845065712928772,"alphanum_fraction":0.6330817937850952,"avg_line_length":57.262516021728516,"blob_id":"622c9d785d7f5250045c8ea1c36adbf47db04bef","content_id":"e9b89ed92638f87f523e6b8fc0c7096c2471a1bf","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":363457,"license_type":"permissive","max_line_length":149,"num_lines":6133,"path":"/main_window.py","repo_name":"EzraCerpac/SatLink","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\r\n\r\n# Form implementation generated from reading ui file 'UI\\main.ui'\r\n#\r\n# Created by: PyQt5 UI code generator 5.15.2\r\n#\r\n# WARNING: Any manual changes made to this file will be lost when pyuic5 is\r\n# run again. Do not edit this file unless you know what you are doing.\r\n\r\n\r\nfrom PyQt5 import QtCore, QtGui, QtWidgets\r\n\r\n\r\nclass Ui_MainWindow(object):\r\n def setupUi(self, MainWindow):\r\n MainWindow.setObjectName(\"MainWindow\")\r\n MainWindow.resize(820, 911)\r\n sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Fixed)\r\n sizePolicy.setHorizontalStretch(0)\r\n sizePolicy.setVerticalStretch(0)\r\n sizePolicy.setHeightForWidth(MainWindow.sizePolicy().hasHeightForWidth())\r\n MainWindow.setSizePolicy(sizePolicy)\r\n icon = QtGui.QIcon()\r\n icon.addPixmap(QtGui.QPixmap(\"UI\\\\icon.png\"), QtGui.QIcon.Normal, QtGui.QIcon.Off)\r\n MainWindow.setWindowIcon(icon)\r\n MainWindow.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n MainWindow.setAnimated(True)\r\n MainWindow.setTabShape(QtWidgets.QTabWidget.Rounded)\r\n self.centralwidget = QtWidgets.QWidget(MainWindow)\r\n self.centralwidget.setObjectName(\"centralwidget\")\r\n self.stackedWidget = QtWidgets.QStackedWidget(self.centralwidget)\r\n self.stackedWidget.setGeometry(QtCore.QRect(0, -1, 811, 861))\r\n self.stackedWidget.setObjectName(\"stackedWidget\")\r\n self.home_page = QtWidgets.QWidget()\r\n self.home_page.setObjectName(\"home_page\")\r\n self.label_5 = QtWidgets.QLabel(self.home_page)\r\n self.label_5.setGeometry(QtCore.QRect(217, 270, 431, 391))\r\n self.label_5.setText(\"\")\r\n self.label_5.setPixmap(QtGui.QPixmap(\"UI\\\\home_logo.png\"))\r\n self.label_5.setObjectName(\"label_5\")\r\n self.stackedWidget.addWidget(self.home_page)\r\n self.satellite_page = QtWidgets.QWidget()\r\n self.satellite_page.setObjectName(\"satellite_page\")\r\n self.groupBox_9 = QtWidgets.QGroupBox(self.satellite_page)\r\n self.groupBox_9.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_9.setFont(font)\r\n self.groupBox_9.setAutoFillBackground(False)\r\n self.groupBox_9.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_9.setObjectName(\"groupBox_9\")\r\n self.label_31 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_31.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_31.setObjectName(\"label_31\")\r\n self.label_54 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_54.setGeometry(QtCore.QRect(20, 80, 161, 21))\r\n self.label_54.setObjectName(\"label_54\")\r\n self.name_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.name_sat.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_sat.setObjectName(\"name_sat\")\r\n self.long_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.long_sat.setGeometry(QtCore.QRect(200, 80, 101, 22))\r\n self.long_sat.setObjectName(\"long_sat\")\r\n self.save_sat = QtWidgets.QPushButton(self.groupBox_9)\r\n self.save_sat.setGeometry(QtCore.QRect(680, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat.setFont(font)\r\n self.save_sat.setObjectName(\"save_sat\")\r\n self.load_sat = QtWidgets.QPushButton(self.groupBox_9)\r\n self.load_sat.setGeometry(QtCore.QRect(550, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat.setFont(font)\r\n self.load_sat.setObjectName(\"load_sat\")\r\n self.default_sat = QtWidgets.QComboBox(self.groupBox_9)\r\n self.default_sat.setGeometry(QtCore.QRect(650, 70, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat.setFont(font)\r\n self.default_sat.setObjectName(\"default_sat\")\r\n self.label_55 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_55.setGeometry(QtCore.QRect(650, 40, 131, 16))\r\n self.label_55.setObjectName(\"label_55\")\r\n self.label_56 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_56.setGeometry(QtCore.QRect(330, 78, 111, 16))\r\n self.label_56.setObjectName(\"label_56\")\r\n self.height_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.height_sat.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.height_sat.setObjectName(\"height_sat\")\r\n self.label_59 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_59.setGeometry(QtCore.QRect(330, 119, 121, 16))\r\n self.label_59.setObjectName(\"label_59\")\r\n self.eirp_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.eirp_sat.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.eirp_sat.setObjectName(\"eirp_sat\")\r\n self.label_60 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_60.setGeometry(QtCore.QRect(20, 148, 171, 51))\r\n self.label_60.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_60.setObjectName(\"label_60\")\r\n self.max_bw_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.max_bw_sat.setGeometry(QtCore.QRect(200, 158, 101, 22))\r\n self.max_bw_sat.setObjectName(\"max_bw_sat\")\r\n self.label_61 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_61.setGeometry(QtCore.QRect(330, 143, 171, 51))\r\n self.label_61.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_61.setObjectName(\"label_61\")\r\n self.bw_util_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.bw_util_sat.setGeometry(QtCore.QRect(510, 156, 101, 22))\r\n self.bw_util_sat.setObjectName(\"bw_util_sat\")\r\n self.label_64 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_64.setGeometry(QtCore.QRect(20, 203, 61, 16))\r\n self.label_64.setObjectName(\"label_64\")\r\n self.rolloff_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.rolloff_sat.setGeometry(QtCore.QRect(200, 203, 101, 22))\r\n self.rolloff_sat.setObjectName(\"rolloff_sat\")\r\n self.label_65 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_65.setGeometry(QtCore.QRect(330, 203, 91, 16))\r\n self.label_65.setObjectName(\"label_65\")\r\n self.modcod_sat = QtWidgets.QComboBox(self.groupBox_9)\r\n self.modcod_sat.setGeometry(QtCore.QRect(450, 203, 161, 22))\r\n self.modcod_sat.setObjectName(\"modcod_sat\")\r\n self.label_66 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_66.setGeometry(QtCore.QRect(20, 120, 131, 20))\r\n self.label_66.setObjectName(\"label_66\")\r\n self.freq_sat = QtWidgets.QLineEdit(self.groupBox_9)\r\n self.freq_sat.setGeometry(QtCore.QRect(200, 120, 101, 22))\r\n self.freq_sat.setObjectName(\"freq_sat\")\r\n self.label_7 = QtWidgets.QLabel(self.groupBox_9)\r\n self.label_7.setGeometry(QtCore.QRect(673, 100, 91, 20))\r\n self.label_7.setObjectName(\"label_7\")\r\n self.pol_sat = QtWidgets.QComboBox(self.groupBox_9)\r\n self.pol_sat.setGeometry(QtCore.QRect(667, 130, 101, 22))\r\n self.pol_sat.setObjectName(\"pol_sat\")\r\n self.pol_sat.addItem(\"\")\r\n self.pol_sat.addItem(\"\")\r\n self.pol_sat.addItem(\"\")\r\n self.clear_sat = QtWidgets.QPushButton(self.groupBox_9)\r\n self.clear_sat.setGeometry(QtCore.QRect(420, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat.setFont(font)\r\n self.clear_sat.setObjectName(\"clear_sat\")\r\n self.stackedWidget.addWidget(self.satellite_page)\r\n self.ground_station_page = QtWidgets.QWidget()\r\n self.ground_station_page.setObjectName(\"ground_station_page\")\r\n self.groupBox = QtWidgets.QGroupBox(self.ground_station_page)\r\n self.groupBox.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox.setFont(font)\r\n self.groupBox.setAutoFillBackground(False)\r\n self.groupBox.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox.setObjectName(\"groupBox\")\r\n self.label = QtWidgets.QLabel(self.groupBox)\r\n self.label.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label.setObjectName(\"label\")\r\n self.label_2 = QtWidgets.QLabel(self.groupBox)\r\n self.label_2.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_2.setObjectName(\"label_2\")\r\n self.label_3 = QtWidgets.QLabel(self.groupBox)\r\n self.label_3.setGeometry(QtCore.QRect(20, 111, 161, 21))\r\n self.label_3.setObjectName(\"label_3\")\r\n self.name_ground_station_grstat = QtWidgets.QLineEdit(self.groupBox)\r\n self.name_ground_station_grstat.setGeometry(QtCore.QRect(100, 36, 271, 22))\r\n self.name_ground_station_grstat.setObjectName(\"name_ground_station_grstat\")\r\n self.long_ground_station_grstat = QtWidgets.QLineEdit(self.groupBox)\r\n self.long_ground_station_grstat.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.long_ground_station_grstat.setObjectName(\"long_ground_station_grstat\")\r\n self.lat_ground_station_grstat = QtWidgets.QLineEdit(self.groupBox)\r\n self.lat_ground_station_grstat.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_grstat.setObjectName(\"lat_ground_station_grstat\")\r\n self.save_ground_station_gdstation = QtWidgets.QPushButton(self.groupBox)\r\n self.save_ground_station_gdstation.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_gdstation.setFont(font)\r\n self.save_ground_station_gdstation.setObjectName(\"save_ground_station_gdstation\")\r\n self.load_ground_station_gdstation = QtWidgets.QPushButton(self.groupBox)\r\n self.load_ground_station_gdstation.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_gdstation.setFont(font)\r\n self.load_ground_station_gdstation.setObjectName(\"load_ground_station_gdstation\")\r\n self.clear_ground_station_gdstation = QtWidgets.QPushButton(self.groupBox)\r\n self.clear_ground_station_gdstation.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_gdstation.setFont(font)\r\n self.clear_ground_station_gdstation.setObjectName(\"clear_ground_station_gdstation\")\r\n self.stackedWidget.addWidget(self.ground_station_page)\r\n self.reception_page = QtWidgets.QWidget()\r\n self.reception_page.setObjectName(\"reception_page\")\r\n self.groupBox_3 = QtWidgets.QGroupBox(self.reception_page)\r\n self.groupBox_3.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_3.setFont(font)\r\n self.groupBox_3.setAutoFillBackground(False)\r\n self.groupBox_3.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_3.setObjectName(\"groupBox_3\")\r\n self.label_19 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_19.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_19.setObjectName(\"label_19\")\r\n self.label_20 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_20.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_20.setObjectName(\"label_20\")\r\n self.label_21 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_21.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_21.setObjectName(\"label_21\")\r\n self.name_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.name_reception_rcp.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_rcp.setObjectName(\"name_reception_rcp\")\r\n self.lnb_gain_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.lnb_gain_reception_rcp.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_rcp.setObjectName(\"lnb_gain_reception_rcp\")\r\n self.ant_size_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.ant_size_reception_rcp.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_rcp.setObjectName(\"ant_size_reception_rcp\")\r\n self.save_reception_rcp = QtWidgets.QPushButton(self.groupBox_3)\r\n self.save_reception_rcp.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_rcp.setFont(font)\r\n self.save_reception_rcp.setObjectName(\"save_reception_rcp\")\r\n self.load_reception_rcp = QtWidgets.QPushButton(self.groupBox_3)\r\n self.load_reception_rcp.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp.setFont(font)\r\n self.load_reception_rcp.setObjectName(\"load_reception_rcp\")\r\n self.label_23 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_23.setGeometry(QtCore.QRect(330, 80, 171, 16))\r\n self.label_23.setObjectName(\"label_23\")\r\n self.ant_eff_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.ant_eff_reception_rcp.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_rcp.setObjectName(\"ant_eff_reception_rcp\")\r\n self.label_24 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_24.setGeometry(QtCore.QRect(330, 119, 161, 16))\r\n self.label_24.setObjectName(\"label_24\")\r\n self.lnb_temp_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.lnb_temp_reception_rcp.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_rcp.setObjectName(\"lnb_temp_reception_rcp\")\r\n self.label_25 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_25.setGeometry(QtCore.QRect(20, 138, 171, 51))\r\n self.label_25.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_25.setObjectName(\"label_25\")\r\n self.aditional_losses_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.aditional_losses_reception_rcp.setGeometry(QtCore.QRect(200, 153, 101, 22))\r\n self.aditional_losses_reception_rcp.setObjectName(\"aditional_losses_reception_rcp\")\r\n self.label_26 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_26.setGeometry(QtCore.QRect(20, 187, 171, 51))\r\n self.label_26.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_26.setObjectName(\"label_26\")\r\n self.max_depoint_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.max_depoint_reception_rcp.setGeometry(QtCore.QRect(200, 200, 101, 22))\r\n self.max_depoint_reception_rcp.setObjectName(\"max_depoint_reception_rcp\")\r\n self.clear_reception_rcp = QtWidgets.QPushButton(self.groupBox_3)\r\n self.clear_reception_rcp.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp.setFont(font)\r\n self.clear_reception_rcp.setObjectName(\"clear_reception_rcp\")\r\n self.label_62 = QtWidgets.QLabel(self.groupBox_3)\r\n self.label_62.setGeometry(QtCore.QRect(330, 140, 171, 51))\r\n self.label_62.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_62.setObjectName(\"label_62\")\r\n self.cable_loss_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\r\n self.cable_loss_reception_rcp.setGeometry(QtCore.QRect(510, 155, 101, 22))\r\n self.cable_loss_reception_rcp.setObjectName(\"cable_loss_reception_rcp\")\r\n self.stackedWidget.addWidget(self.reception_page)\r\n self.single_point_ant_size_calc_page = QtWidgets.QWidget()\r\n self.single_point_ant_size_calc_page.setObjectName(\"single_point_ant_size_calc_page\")\r\n self.stackedWidget_2 = QtWidgets.QStackedWidget(self.single_point_ant_size_calc_page)\r\n self.stackedWidget_2.setGeometry(QtCore.QRect(0, 0, 811, 861))\r\n self.stackedWidget_2.setObjectName(\"stackedWidget_2\")\r\n self.empty_page_2 = QtWidgets.QWidget()\r\n self.empty_page_2.setObjectName(\"empty_page_2\")\r\n self.label_13 = QtWidgets.QLabel(self.empty_page_2)\r\n self.label_13.setGeometry(QtCore.QRect(217, 270, 431, 391))\r\n self.label_13.setText(\"\")\r\n self.label_13.setPixmap(QtGui.QPixmap(\"UI\\\\home_logo.png\"))\r\n self.label_13.setObjectName(\"label_13\")\r\n self.stackedWidget_2.addWidget(self.empty_page_2)\r\n self.satellite_page_2 = QtWidgets.QWidget()\r\n self.satellite_page_2.setObjectName(\"satellite_page_2\")\r\n self.groupBox_12 = QtWidgets.QGroupBox(self.satellite_page_2)\r\n self.groupBox_12.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_12.setFont(font)\r\n self.groupBox_12.setAutoFillBackground(False)\r\n self.groupBox_12.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_12.setObjectName(\"groupBox_12\")\r\n self.label_38 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_38.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_38.setObjectName(\"label_38\")\r\n self.label_69 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_69.setGeometry(QtCore.QRect(20, 80, 161, 21))\r\n self.label_69.setObjectName(\"label_69\")\r\n self.name_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.name_sat_2.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_sat_2.setObjectName(\"name_sat_2\")\r\n self.long_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.long_sat_2.setGeometry(QtCore.QRect(200, 80, 101, 22))\r\n self.long_sat_2.setObjectName(\"long_sat_2\")\r\n self.save_sat_2 = QtWidgets.QPushButton(self.groupBox_12)\r\n self.save_sat_2.setGeometry(QtCore.QRect(680, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_2.setFont(font)\r\n self.save_sat_2.setObjectName(\"save_sat_2\")\r\n self.load_sat_2 = QtWidgets.QPushButton(self.groupBox_12)\r\n self.load_sat_2.setGeometry(QtCore.QRect(550, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_2.setFont(font)\r\n self.load_sat_2.setObjectName(\"load_sat_2\")\r\n self.default_sat_2 = QtWidgets.QComboBox(self.groupBox_12)\r\n self.default_sat_2.setGeometry(QtCore.QRect(650, 70, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_2.setFont(font)\r\n self.default_sat_2.setObjectName(\"default_sat_2\")\r\n self.label_70 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_70.setGeometry(QtCore.QRect(650, 40, 131, 16))\r\n self.label_70.setObjectName(\"label_70\")\r\n self.label_78 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_78.setGeometry(QtCore.QRect(330, 78, 111, 16))\r\n self.label_78.setObjectName(\"label_78\")\r\n self.height_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.height_sat_2.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.height_sat_2.setObjectName(\"height_sat_2\")\r\n self.label_79 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_79.setGeometry(QtCore.QRect(330, 119, 121, 16))\r\n self.label_79.setObjectName(\"label_79\")\r\n self.eirp_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.eirp_sat_2.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.eirp_sat_2.setObjectName(\"eirp_sat_2\")\r\n self.label_91 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_91.setGeometry(QtCore.QRect(20, 148, 171, 51))\r\n self.label_91.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_91.setObjectName(\"label_91\")\r\n self.max_bw_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.max_bw_sat_2.setGeometry(QtCore.QRect(200, 158, 101, 22))\r\n self.max_bw_sat_2.setObjectName(\"max_bw_sat_2\")\r\n self.label_92 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_92.setGeometry(QtCore.QRect(330, 143, 171, 51))\r\n self.label_92.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_92.setObjectName(\"label_92\")\r\n self.bw_util_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.bw_util_sat_2.setGeometry(QtCore.QRect(510, 156, 101, 22))\r\n self.bw_util_sat_2.setObjectName(\"bw_util_sat_2\")\r\n self.label_93 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_93.setGeometry(QtCore.QRect(20, 203, 61, 16))\r\n self.label_93.setObjectName(\"label_93\")\r\n self.rolloff_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.rolloff_sat_2.setGeometry(QtCore.QRect(200, 203, 101, 22))\r\n self.rolloff_sat_2.setObjectName(\"rolloff_sat_2\")\r\n self.label_94 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_94.setGeometry(QtCore.QRect(330, 203, 91, 16))\r\n self.label_94.setObjectName(\"label_94\")\r\n self.modcod_sat_2 = QtWidgets.QComboBox(self.groupBox_12)\r\n self.modcod_sat_2.setGeometry(QtCore.QRect(450, 203, 161, 22))\r\n self.modcod_sat_2.setObjectName(\"modcod_sat_2\")\r\n self.modcod_sat_2.addItem(\"\")\r\n self.modcod_sat_2.addItem(\"\")\r\n self.modcod_sat_2.addItem(\"\")\r\n self.label_95 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_95.setGeometry(QtCore.QRect(20, 120, 131, 20))\r\n self.label_95.setObjectName(\"label_95\")\r\n self.freq_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\r\n self.freq_sat_2.setGeometry(QtCore.QRect(200, 120, 101, 22))\r\n self.freq_sat_2.setObjectName(\"freq_sat_2\")\r\n self.label_17 = QtWidgets.QLabel(self.groupBox_12)\r\n self.label_17.setGeometry(QtCore.QRect(673, 100, 91, 20))\r\n self.label_17.setObjectName(\"label_17\")\r\n self.pol_sat_3 = QtWidgets.QComboBox(self.groupBox_12)\r\n self.pol_sat_3.setGeometry(QtCore.QRect(667, 130, 101, 22))\r\n self.pol_sat_3.setObjectName(\"pol_sat_3\")\r\n self.pol_sat_3.addItem(\"\")\r\n self.pol_sat_3.addItem(\"\")\r\n self.pol_sat_3.addItem(\"\")\r\n self.clear_sat_2 = QtWidgets.QPushButton(self.groupBox_12)\r\n self.clear_sat_2.setGeometry(QtCore.QRect(420, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_2.setFont(font)\r\n self.clear_sat_2.setObjectName(\"clear_sat_2\")\r\n self.stackedWidget_2.addWidget(self.satellite_page_2)\r\n self.ground_station_page_2 = QtWidgets.QWidget()\r\n self.ground_station_page_2.setObjectName(\"ground_station_page_2\")\r\n self.groupBox_2 = QtWidgets.QGroupBox(self.ground_station_page_2)\r\n self.groupBox_2.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_2.setFont(font)\r\n self.groupBox_2.setAutoFillBackground(False)\r\n self.groupBox_2.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_2.setObjectName(\"groupBox_2\")\r\n self.label_18 = QtWidgets.QLabel(self.groupBox_2)\r\n self.label_18.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_18.setObjectName(\"label_18\")\r\n self.label_22 = QtWidgets.QLabel(self.groupBox_2)\r\n self.label_22.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_22.setObjectName(\"label_22\")\r\n self.label_39 = QtWidgets.QLabel(self.groupBox_2)\r\n self.label_39.setGeometry(QtCore.QRect(20, 111, 161, 21))\r\n self.label_39.setObjectName(\"label_39\")\r\n self.name_ground_station_grstat_2 = QtWidgets.QLineEdit(self.groupBox_2)\r\n self.name_ground_station_grstat_2.setGeometry(QtCore.QRect(100, 36, 271, 22))\r\n self.name_ground_station_grstat_2.setObjectName(\"name_ground_station_grstat_2\")\r\n self.long_ground_station_grstat_2 = QtWidgets.QLineEdit(self.groupBox_2)\r\n self.long_ground_station_grstat_2.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.long_ground_station_grstat_2.setObjectName(\"long_ground_station_grstat_2\")\r\n self.lat_ground_station_grstat_2 = QtWidgets.QLineEdit(self.groupBox_2)\r\n self.lat_ground_station_grstat_2.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_grstat_2.setObjectName(\"lat_ground_station_grstat_2\")\r\n self.save_ground_station_gdstation_2 = QtWidgets.QPushButton(self.groupBox_2)\r\n self.save_ground_station_gdstation_2.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_gdstation_2.setFont(font)\r\n self.save_ground_station_gdstation_2.setObjectName(\"save_ground_station_gdstation_2\")\r\n self.load_ground_station_gdstation_2 = QtWidgets.QPushButton(self.groupBox_2)\r\n self.load_ground_station_gdstation_2.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_gdstation_2.setFont(font)\r\n self.load_ground_station_gdstation_2.setObjectName(\"load_ground_station_gdstation_2\")\r\n self.clear_ground_station_gdstation_2 = QtWidgets.QPushButton(self.groupBox_2)\r\n self.clear_ground_station_gdstation_2.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_gdstation_2.setFont(font)\r\n self.clear_ground_station_gdstation_2.setObjectName(\"clear_ground_station_gdstation_2\")\r\n self.stackedWidget_2.addWidget(self.ground_station_page_2)\r\n self.reception_page_2 = QtWidgets.QWidget()\r\n self.reception_page_2.setObjectName(\"reception_page_2\")\r\n self.groupBox_13 = QtWidgets.QGroupBox(self.reception_page_2)\r\n self.groupBox_13.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_13.setFont(font)\r\n self.groupBox_13.setAutoFillBackground(False)\r\n self.groupBox_13.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_13.setObjectName(\"groupBox_13\")\r\n self.label_96 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_96.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_96.setObjectName(\"label_96\")\r\n self.label_97 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_97.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_97.setObjectName(\"label_97\")\r\n self.label_98 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_98.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_98.setObjectName(\"label_98\")\r\n self.name_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.name_reception_rcp_2.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_rcp_2.setObjectName(\"name_reception_rcp_2\")\r\n self.lnb_gain_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.lnb_gain_reception_rcp_2.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_rcp_2.setObjectName(\"lnb_gain_reception_rcp_2\")\r\n self.ant_size_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.ant_size_reception_rcp_2.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_rcp_2.setObjectName(\"ant_size_reception_rcp_2\")\r\n self.save_reception_rcp_2 = QtWidgets.QPushButton(self.groupBox_13)\r\n self.save_reception_rcp_2.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_rcp_2.setFont(font)\r\n self.save_reception_rcp_2.setObjectName(\"save_reception_rcp_2\")\r\n self.load_reception_rcp_5 = QtWidgets.QPushButton(self.groupBox_13)\r\n self.load_reception_rcp_5.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_5.setFont(font)\r\n self.load_reception_rcp_5.setObjectName(\"load_reception_rcp_5\")\r\n self.label_99 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_99.setGeometry(QtCore.QRect(330, 80, 171, 16))\r\n self.label_99.setObjectName(\"label_99\")\r\n self.ant_eff_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.ant_eff_reception_rcp_2.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_rcp_2.setObjectName(\"ant_eff_reception_rcp_2\")\r\n self.label_100 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_100.setGeometry(QtCore.QRect(330, 119, 161, 16))\r\n self.label_100.setObjectName(\"label_100\")\r\n self.lnb_temp_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.lnb_temp_reception_rcp_2.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_rcp_2.setObjectName(\"lnb_temp_reception_rcp_2\")\r\n self.label_101 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_101.setGeometry(QtCore.QRect(20, 138, 171, 51))\r\n self.label_101.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_101.setObjectName(\"label_101\")\r\n self.aditional_losses_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.aditional_losses_reception_rcp_2.setGeometry(QtCore.QRect(200, 153, 101, 22))\r\n self.aditional_losses_reception_rcp_2.setObjectName(\"aditional_losses_reception_rcp_2\")\r\n self.label_102 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_102.setGeometry(QtCore.QRect(20, 187, 171, 51))\r\n self.label_102.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_102.setObjectName(\"label_102\")\r\n self.max_depoint_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.max_depoint_reception_rcp_2.setGeometry(QtCore.QRect(200, 200, 101, 22))\r\n self.max_depoint_reception_rcp_2.setObjectName(\"max_depoint_reception_rcp_2\")\r\n self.clear_reception_rcp_3 = QtWidgets.QPushButton(self.groupBox_13)\r\n self.clear_reception_rcp_3.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp_3.setFont(font)\r\n self.clear_reception_rcp_3.setObjectName(\"clear_reception_rcp_3\")\r\n self.label_103 = QtWidgets.QLabel(self.groupBox_13)\r\n self.label_103.setGeometry(QtCore.QRect(330, 140, 171, 51))\r\n self.label_103.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_103.setObjectName(\"label_103\")\r\n self.cable_loss_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\r\n self.cable_loss_reception_rcp_2.setGeometry(QtCore.QRect(510, 155, 101, 22))\r\n self.cable_loss_reception_rcp_2.setObjectName(\"cable_loss_reception_rcp_2\")\r\n self.stackedWidget_2.addWidget(self.reception_page_2)\r\n self.ant_size_single_point_calc_page_2 = QtWidgets.QWidget()\r\n self.ant_size_single_point_calc_page_2.setObjectName(\"ant_size_single_point_calc_page_2\")\r\n self.stackedWidget_2.addWidget(self.ant_size_single_point_calc_page_2)\r\n self.list_ant_size_calc_page_2 = QtWidgets.QWidget()\r\n self.list_ant_size_calc_page_2.setObjectName(\"list_ant_size_calc_page_2\")\r\n self.stackedWidget_2.addWidget(self.list_ant_size_calc_page_2)\r\n self.single_point_atm_calc_page_2 = QtWidgets.QWidget()\r\n self.single_point_atm_calc_page_2.setObjectName(\"single_point_atm_calc_page_2\")\r\n self.groupBox_14 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_2)\r\n self.groupBox_14.setGeometry(QtCore.QRect(20, 20, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_14.setFont(font)\r\n self.groupBox_14.setObjectName(\"groupBox_14\")\r\n self.lat_ground_station_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\r\n self.lat_ground_station_spatm_2.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.lat_ground_station_spatm_2.setObjectName(\"lat_ground_station_spatm_2\")\r\n self.long_ground_station_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\r\n self.long_ground_station_spatm_2.setGeometry(QtCore.QRect(500, 30, 101, 22))\r\n self.long_ground_station_spatm_2.setObjectName(\"long_ground_station_spatm_2\")\r\n self.label_104 = QtWidgets.QLabel(self.groupBox_14)\r\n self.label_104.setGeometry(QtCore.QRect(20, 23, 151, 31))\r\n self.label_104.setObjectName(\"label_104\")\r\n self.label_105 = QtWidgets.QLabel(self.groupBox_14)\r\n self.label_105.setGeometry(QtCore.QRect(319, 28, 161, 21))\r\n self.label_105.setObjectName(\"label_105\")\r\n self.label_106 = QtWidgets.QLabel(self.groupBox_14)\r\n self.label_106.setGeometry(QtCore.QRect(20, 60, 161, 21))\r\n self.label_106.setObjectName(\"label_106\")\r\n self.ant_size_reception_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\r\n self.ant_size_reception_spatm_2.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.ant_size_reception_spatm_2.setObjectName(\"ant_size_reception_spatm_2\")\r\n self.ant_eff_reception_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\r\n self.ant_eff_reception_spatm_2.setGeometry(QtCore.QRect(500, 60, 101, 22))\r\n self.ant_eff_reception_spatm_2.setObjectName(\"ant_eff_reception_spatm_2\")\r\n self.label_107 = QtWidgets.QLabel(self.groupBox_14)\r\n self.label_107.setGeometry(QtCore.QRect(320, 60, 141, 16))\r\n self.label_107.setObjectName(\"label_107\")\r\n self.clear_reception_rcp_4 = QtWidgets.QPushButton(self.groupBox_14)\r\n self.clear_reception_rcp_4.setGeometry(QtCore.QRect(660, 30, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp_4.setFont(font)\r\n self.clear_reception_rcp_4.setObjectName(\"clear_reception_rcp_4\")\r\n self.load_reception_rcp_6 = QtWidgets.QPushButton(self.groupBox_14)\r\n self.load_reception_rcp_6.setGeometry(QtCore.QRect(15, 91, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_6.setFont(font)\r\n self.load_reception_rcp_6.setObjectName(\"load_reception_rcp_6\")\r\n self.load_reception_rcp_7 = QtWidgets.QPushButton(self.groupBox_14)\r\n self.load_reception_rcp_7.setGeometry(QtCore.QRect(230, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_7.setFont(font)\r\n self.load_reception_rcp_7.setObjectName(\"load_reception_rcp_7\")\r\n self.calc_spatm_2 = QtWidgets.QPushButton(self.single_point_atm_calc_page_2)\r\n self.calc_spatm_2.setGeometry(QtCore.QRect(666, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_spatm_2.setFont(font)\r\n self.calc_spatm_2.setObjectName(\"calc_spatm_2\")\r\n self.textEdit_3 = QtWidgets.QTextEdit(self.single_point_atm_calc_page_2)\r\n self.textEdit_3.setGeometry(QtCore.QRect(6, 650, 801, 171))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.textEdit_3.setFont(font)\r\n self.textEdit_3.setObjectName(\"textEdit_3\")\r\n self.groupBox_15 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_2)\r\n self.groupBox_15.setGeometry(QtCore.QRect(20, 150, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_15.setFont(font)\r\n self.groupBox_15.setObjectName(\"groupBox_15\")\r\n self.label_108 = QtWidgets.QLabel(self.groupBox_15)\r\n self.label_108.setGeometry(QtCore.QRect(20, 60, 131, 16))\r\n self.label_108.setObjectName(\"label_108\")\r\n self.label_109 = QtWidgets.QLabel(self.groupBox_15)\r\n self.label_109.setGeometry(QtCore.QRect(20, 30, 161, 21))\r\n self.label_109.setObjectName(\"label_109\")\r\n self.long_sat_spatm_2 = QtWidgets.QLineEdit(self.groupBox_15)\r\n self.long_sat_spatm_2.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.long_sat_spatm_2.setObjectName(\"long_sat_spatm_2\")\r\n self.freq_sat_spatm_2 = QtWidgets.QLineEdit(self.groupBox_15)\r\n self.freq_sat_spatm_2.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.freq_sat_spatm_2.setObjectName(\"freq_sat_spatm_2\")\r\n self.default_sat_sp_perf_4 = QtWidgets.QComboBox(self.groupBox_15)\r\n self.default_sat_sp_perf_4.setGeometry(QtCore.QRect(634, 44, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_perf_4.setFont(font)\r\n self.default_sat_sp_perf_4.setObjectName(\"default_sat_sp_perf_4\")\r\n self.label_110 = QtWidgets.QLabel(self.groupBox_15)\r\n self.label_110.setGeometry(QtCore.QRect(636, 14, 131, 16))\r\n self.label_110.setObjectName(\"label_110\")\r\n self.pol_sat_4 = QtWidgets.QComboBox(self.groupBox_15)\r\n self.pol_sat_4.setGeometry(QtCore.QRect(450, 30, 101, 22))\r\n self.pol_sat_4.setObjectName(\"pol_sat_4\")\r\n self.pol_sat_4.addItem(\"\")\r\n self.pol_sat_4.addItem(\"\")\r\n self.pol_sat_4.addItem(\"\")\r\n self.label_111 = QtWidgets.QLabel(self.groupBox_15)\r\n self.label_111.setGeometry(QtCore.QRect(350, 30, 91, 20))\r\n self.label_111.setObjectName(\"label_111\")\r\n self.load_reception_rcp_8 = QtWidgets.QPushButton(self.groupBox_15)\r\n self.load_reception_rcp_8.setGeometry(QtCore.QRect(10, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_8.setFont(font)\r\n self.load_reception_rcp_8.setObjectName(\"load_reception_rcp_8\")\r\n self.p_year_spatm_2 = QtWidgets.QLineEdit(self.single_point_atm_calc_page_2)\r\n self.p_year_spatm_2.setGeometry(QtCore.QRect(550, 834, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.p_year_spatm_2.setFont(font)\r\n self.p_year_spatm_2.setToolTip(\"\")\r\n self.p_year_spatm_2.setObjectName(\"p_year_spatm_2\")\r\n self.label_112 = QtWidgets.QLabel(self.single_point_atm_calc_page_2)\r\n self.label_112.setGeometry(QtCore.QRect(340, 834, 201, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_112.setFont(font)\r\n self.label_112.setObjectName(\"label_112\")\r\n self.label_113 = QtWidgets.QLabel(self.single_point_atm_calc_page_2)\r\n self.label_113.setGeometry(QtCore.QRect(10, 837, 71, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_113.setFont(font)\r\n self.label_113.setObjectName(\"label_113\")\r\n self.method_spatm_2 = QtWidgets.QComboBox(self.single_point_atm_calc_page_2)\r\n self.method_spatm_2.setGeometry(QtCore.QRect(84, 835, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.method_spatm_2.setFont(font)\r\n self.method_spatm_2.setObjectName(\"method_spatm_2\")\r\n self.method_spatm_2.addItem(\"\")\r\n self.method_spatm_2.addItem(\"\")\r\n self.stackedWidget_2.addWidget(self.single_point_atm_calc_page_2)\r\n self.single_point_perf_calc_page_2 = QtWidgets.QWidget()\r\n self.single_point_perf_calc_page_2.setObjectName(\"single_point_perf_calc_page_2\")\r\n self.groupBox_16 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\r\n self.groupBox_16.setGeometry(QtCore.QRect(10, 10, 801, 121))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_16.setFont(font)\r\n self.groupBox_16.setAutoFillBackground(False)\r\n self.groupBox_16.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_16.setObjectName(\"groupBox_16\")\r\n self.label_114 = QtWidgets.QLabel(self.groupBox_16)\r\n self.label_114.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_114.setObjectName(\"label_114\")\r\n self.label_115 = QtWidgets.QLabel(self.groupBox_16)\r\n self.label_115.setGeometry(QtCore.QRect(20, 70, 151, 31))\r\n self.label_115.setObjectName(\"label_115\")\r\n self.label_116 = QtWidgets.QLabel(self.groupBox_16)\r\n self.label_116.setGeometry(QtCore.QRect(330, 78, 161, 21))\r\n self.label_116.setObjectName(\"label_116\")\r\n self.name_ground_station_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_16)\r\n self.name_ground_station_sp_ant_size.setGeometry(QtCore.QRect(100, 36, 511, 22))\r\n self.name_ground_station_sp_ant_size.setObjectName(\"name_ground_station_sp_ant_size\")\r\n self.long_ground_station_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_16)\r\n self.long_ground_station_sp_ant_size.setGeometry(QtCore.QRect(510, 80, 101, 22))\r\n self.long_ground_station_sp_ant_size.setObjectName(\"long_ground_station_sp_ant_size\")\r\n self.lat_ground_station_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_16)\r\n self.lat_ground_station_sp_ant_size.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_sp_ant_size.setObjectName(\"lat_ground_station_sp_ant_size\")\r\n self.save_ground_station_sp_ant_size = QtWidgets.QPushButton(self.groupBox_16)\r\n self.save_ground_station_sp_ant_size.setGeometry(QtCore.QRect(652, 80, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_sp_ant_size.setFont(font)\r\n self.save_ground_station_sp_ant_size.setObjectName(\"save_ground_station_sp_ant_size\")\r\n self.load_ground_station_sp_ant_size = QtWidgets.QPushButton(self.groupBox_16)\r\n self.load_ground_station_sp_ant_size.setGeometry(QtCore.QRect(652, 48, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_sp_ant_size.setFont(font)\r\n self.load_ground_station_sp_ant_size.setObjectName(\"load_ground_station_sp_ant_size\")\r\n self.clear_ground_station_sp_ant_size = QtWidgets.QPushButton(self.groupBox_16)\r\n self.clear_ground_station_sp_ant_size.setGeometry(QtCore.QRect(652, 16, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_sp_ant_size.setFont(font)\r\n self.clear_ground_station_sp_ant_size.setObjectName(\"clear_ground_station_sp_ant_size\")\r\n self.groupBox_17 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\r\n self.groupBox_17.setGeometry(QtCore.QRect(10, 129, 801, 251))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_17.setFont(font)\r\n self.groupBox_17.setAutoFillBackground(False)\r\n self.groupBox_17.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_17.setObjectName(\"groupBox_17\")\r\n self.label_117 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_117.setGeometry(QtCore.QRect(20, 29, 55, 16))\r\n self.label_117.setObjectName(\"label_117\")\r\n self.label_118 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_118.setGeometry(QtCore.QRect(20, 71, 161, 21))\r\n self.label_118.setObjectName(\"label_118\")\r\n self.name_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.name_sat_sp_ant_size.setGeometry(QtCore.QRect(100, 29, 511, 22))\r\n self.name_sat_sp_ant_size.setObjectName(\"name_sat_sp_ant_size\")\r\n self.long_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.long_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 71, 101, 22))\r\n self.long_sat_sp_ant_size.setObjectName(\"long_sat_sp_ant_size\")\r\n self.save_sat_sp_ant_size = QtWidgets.QPushButton(self.groupBox_17)\r\n self.save_sat_sp_ant_size.setGeometry(QtCore.QRect(656, 207, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_sp_ant_size.setFont(font)\r\n self.save_sat_sp_ant_size.setObjectName(\"save_sat_sp_ant_size\")\r\n self.load_sat_sp_ant_size = QtWidgets.QPushButton(self.groupBox_17)\r\n self.load_sat_sp_ant_size.setGeometry(QtCore.QRect(656, 175, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_sp_ant_size.setFont(font)\r\n self.load_sat_sp_ant_size.setObjectName(\"load_sat_sp_ant_size\")\r\n self.default_sat_sp_ant_size = QtWidgets.QComboBox(self.groupBox_17)\r\n self.default_sat_sp_ant_size.setGeometry(QtCore.QRect(650, 42, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_ant_size.setFont(font)\r\n self.default_sat_sp_ant_size.setObjectName(\"default_sat_sp_ant_size\")\r\n self.label_119 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_119.setGeometry(QtCore.QRect(648, 16, 131, 16))\r\n self.label_119.setObjectName(\"label_119\")\r\n self.label_120 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_120.setGeometry(QtCore.QRect(330, 69, 111, 16))\r\n self.label_120.setObjectName(\"label_120\")\r\n self.height_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.height_sat_sp_ant_size.setGeometry(QtCore.QRect(510, 69, 101, 22))\r\n self.height_sat_sp_ant_size.setObjectName(\"height_sat_sp_ant_size\")\r\n self.label_121 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_121.setGeometry(QtCore.QRect(330, 110, 121, 16))\r\n self.label_121.setObjectName(\"label_121\")\r\n self.eirp_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.eirp_sat_sp_ant_size.setGeometry(QtCore.QRect(510, 106, 101, 22))\r\n self.eirp_sat_sp_ant_size.setObjectName(\"eirp_sat_sp_ant_size\")\r\n self.label_122 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_122.setGeometry(QtCore.QRect(20, 139, 171, 51))\r\n self.label_122.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_122.setObjectName(\"label_122\")\r\n self.max_bw_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.max_bw_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 149, 101, 22))\r\n self.max_bw_sat_sp_ant_size.setObjectName(\"max_bw_sat_sp_ant_size\")\r\n self.label_123 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_123.setGeometry(QtCore.QRect(330, 134, 171, 51))\r\n self.label_123.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_123.setObjectName(\"label_123\")\r\n self.bw_util_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.bw_util_sat_sp_ant_size.setGeometry(QtCore.QRect(510, 147, 101, 22))\r\n self.bw_util_sat_sp_ant_size.setObjectName(\"bw_util_sat_sp_ant_size\")\r\n self.label_124 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_124.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_124.setObjectName(\"label_124\")\r\n self.rolloff_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.rolloff_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.rolloff_sat_sp_ant_size.setObjectName(\"rolloff_sat_sp_ant_size\")\r\n self.label_125 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_125.setGeometry(QtCore.QRect(330, 192, 91, 16))\r\n self.label_125.setObjectName(\"label_125\")\r\n self.modcod_sat_sp_ant_size = QtWidgets.QComboBox(self.groupBox_17)\r\n self.modcod_sat_sp_ant_size.setGeometry(QtCore.QRect(450, 190, 161, 22))\r\n self.modcod_sat_sp_ant_size.setObjectName(\"modcod_sat_sp_ant_size\")\r\n self.label_126 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_126.setGeometry(QtCore.QRect(20, 111, 131, 20))\r\n self.label_126.setObjectName(\"label_126\")\r\n self.freq_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\r\n self.freq_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.freq_sat_sp_ant_size.setObjectName(\"freq_sat_sp_ant_size\")\r\n self.label_127 = QtWidgets.QLabel(self.groupBox_17)\r\n self.label_127.setGeometry(QtCore.QRect(665, 73, 91, 20))\r\n self.label_127.setObjectName(\"label_127\")\r\n self.pol_sat_sp_ant_size = QtWidgets.QComboBox(self.groupBox_17)\r\n self.pol_sat_sp_ant_size.setGeometry(QtCore.QRect(660, 97, 101, 22))\r\n self.pol_sat_sp_ant_size.setObjectName(\"pol_sat_sp_ant_size\")\r\n self.pol_sat_sp_ant_size.addItem(\"\")\r\n self.pol_sat_sp_ant_size.addItem(\"\")\r\n self.pol_sat_sp_ant_size.addItem(\"\")\r\n self.clear_sat_sp_ant_size = QtWidgets.QPushButton(self.groupBox_17)\r\n self.clear_sat_sp_ant_size.setGeometry(QtCore.QRect(656, 145, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_sp_ant_size.setFont(font)\r\n self.clear_sat_sp_ant_size.setObjectName(\"clear_sat_sp_ant_size\")\r\n self.groupBox_18 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\r\n self.groupBox_18.setGeometry(QtCore.QRect(10, 378, 801, 181))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_18.setFont(font)\r\n self.groupBox_18.setAutoFillBackground(False)\r\n self.groupBox_18.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_18.setObjectName(\"groupBox_18\")\r\n self.label_128 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_128.setGeometry(QtCore.QRect(20, 27, 55, 16))\r\n self.label_128.setObjectName(\"label_128\")\r\n self.label_130 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_130.setGeometry(QtCore.QRect(20, 60, 161, 21))\r\n self.label_130.setObjectName(\"label_130\")\r\n self.name_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.name_reception_sp_ant_size.setGeometry(QtCore.QRect(100, 27, 511, 22))\r\n self.name_reception_sp_ant_size.setObjectName(\"name_reception_sp_ant_size\")\r\n self.lnb_gain_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.lnb_gain_reception_sp_ant_size.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.lnb_gain_reception_sp_ant_size.setObjectName(\"lnb_gain_reception_sp_ant_size\")\r\n self.save_reception_sp_ant_size = QtWidgets.QPushButton(self.groupBox_18)\r\n self.save_reception_sp_ant_size.setGeometry(QtCore.QRect(654, 133, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_sp_ant_size.setFont(font)\r\n self.save_reception_sp_ant_size.setObjectName(\"save_reception_sp_ant_size\")\r\n self.load_reception_sp_ant_size = QtWidgets.QPushButton(self.groupBox_18)\r\n self.load_reception_sp_ant_size.setGeometry(QtCore.QRect(654, 99, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_sp_ant_size.setFont(font)\r\n self.load_reception_sp_ant_size.setObjectName(\"load_reception_sp_ant_size\")\r\n self.label_131 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_131.setGeometry(QtCore.QRect(330, 137, 141, 16))\r\n self.label_131.setObjectName(\"label_131\")\r\n self.ant_eff_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.ant_eff_reception_sp_ant_size.setGeometry(QtCore.QRect(510, 137, 101, 22))\r\n self.ant_eff_reception_sp_ant_size.setObjectName(\"ant_eff_reception_sp_ant_size\")\r\n self.label_132 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_132.setGeometry(QtCore.QRect(330, 65, 161, 16))\r\n self.label_132.setObjectName(\"label_132\")\r\n self.lnb_temp_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.lnb_temp_reception_sp_ant_size.setGeometry(QtCore.QRect(510, 62, 101, 22))\r\n self.lnb_temp_reception_sp_ant_size.setObjectName(\"lnb_temp_reception_sp_ant_size\")\r\n self.label_133 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_133.setGeometry(QtCore.QRect(17, 83, 171, 51))\r\n self.label_133.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_133.setObjectName(\"label_133\")\r\n self.aditional_losses_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.aditional_losses_reception_sp_ant_size.setGeometry(QtCore.QRect(200, 97, 101, 22))\r\n self.aditional_losses_reception_sp_ant_size.setObjectName(\"aditional_losses_reception_sp_ant_size\")\r\n self.label_134 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_134.setGeometry(QtCore.QRect(19, 119, 171, 51))\r\n self.label_134.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_134.setObjectName(\"label_134\")\r\n self.max_depoint_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.max_depoint_reception_sp_ant_size.setGeometry(QtCore.QRect(200, 139, 101, 22))\r\n self.max_depoint_reception_sp_ant_size.setObjectName(\"max_depoint_reception_sp_ant_size\")\r\n self.clear_reception_sp_ant_size = QtWidgets.QPushButton(self.groupBox_18)\r\n self.clear_reception_sp_ant_size.setGeometry(QtCore.QRect(654, 67, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_sp_ant_size.setFont(font)\r\n self.clear_reception_sp_ant_size.setObjectName(\"clear_reception_sp_ant_size\")\r\n self.cable_loss_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\r\n self.cable_loss_reception_sp_ant_size.setGeometry(QtCore.QRect(510, 98, 101, 22))\r\n self.cable_loss_reception_sp_ant_size.setObjectName(\"cable_loss_reception_sp_ant_size\")\r\n self.label_135 = QtWidgets.QLabel(self.groupBox_18)\r\n self.label_135.setGeometry(QtCore.QRect(330, 84, 171, 51))\r\n self.label_135.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_135.setObjectName(\"label_135\")\r\n self.calc_sp_ant_size = QtWidgets.QPushButton(self.single_point_perf_calc_page_2)\r\n self.calc_sp_ant_size.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_sp_ant_size.setFont(font)\r\n self.calc_sp_ant_size.setObjectName(\"calc_sp_ant_size\")\r\n self.margin_sp_ant_size = QtWidgets.QLineEdit(self.single_point_perf_calc_page_2)\r\n self.margin_sp_ant_size.setGeometry(QtCore.QRect(123, 834, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_sp_ant_size.setFont(font)\r\n self.margin_sp_ant_size.setToolTip(\"\")\r\n self.margin_sp_ant_size.setObjectName(\"margin_sp_ant_size\")\r\n self.label_174 = QtWidgets.QLabel(self.single_point_perf_calc_page_2)\r\n self.label_174.setGeometry(QtCore.QRect(23, 834, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_174.setFont(font)\r\n self.label_174.setObjectName(\"label_174\")\r\n self.groupBox_41 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\r\n self.groupBox_41.setGeometry(QtCore.QRect(10, 556, 801, 271))\r\n self.groupBox_41.setObjectName(\"groupBox_41\")\r\n self.ant_max_size_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_41)\r\n self.ant_max_size_sp_ant_size.setGeometry(QtCore.QRect(436, 23, 101, 22))\r\n self.ant_max_size_sp_ant_size.setObjectName(\"ant_max_size_sp_ant_size\")\r\n self.label_323 = QtWidgets.QLabel(self.groupBox_41)\r\n self.label_323.setGeometry(QtCore.QRect(9, 8, 171, 51))\r\n self.label_323.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_323.setObjectName(\"label_323\")\r\n self.ant_min_size_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_41)\r\n self.ant_min_size_sp_ant_size.setGeometry(QtCore.QRect(153, 23, 101, 22))\r\n self.ant_min_size_sp_ant_size.setObjectName(\"ant_min_size_sp_ant_size\")\r\n self.label_313 = QtWidgets.QLabel(self.groupBox_41)\r\n self.label_313.setGeometry(QtCore.QRect(287, 9, 171, 51))\r\n self.label_313.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_313.setObjectName(\"label_313\")\r\n self.output_sp_ant_size = QtWidgets.QTextEdit(self.groupBox_41)\r\n self.output_sp_ant_size.setGeometry(QtCore.QRect(10, 56, 781, 191))\r\n self.output_sp_ant_size.setObjectName(\"output_sp_ant_size\")\r\n self.label_136 = QtWidgets.QLabel(self.groupBox_41)\r\n self.label_136.setGeometry(QtCore.QRect(10, 250, 331, 20))\r\n self.label_136.setObjectName(\"label_136\")\r\n self.export_result_sp_ant_size = QtWidgets.QPushButton(self.single_point_perf_calc_page_2)\r\n self.export_result_sp_ant_size.setGeometry(QtCore.QRect(520, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.export_result_sp_ant_size.setFont(font)\r\n self.export_result_sp_ant_size.setObjectName(\"export_result_sp_ant_size\")\r\n self.stackedWidget_2.addWidget(self.single_point_perf_calc_page_2)\r\n self.list_perf_calc_page_2 = QtWidgets.QWidget()\r\n self.list_perf_calc_page_2.setObjectName(\"list_perf_calc_page_2\")\r\n self.browse_path_mp_perf_2 = QtWidgets.QPushButton(self.list_perf_calc_page_2)\r\n self.browse_path_mp_perf_2.setGeometry(QtCore.QRect(700, 11, 93, 21))\r\n self.browse_path_mp_perf_2.setObjectName(\"browse_path_mp_perf_2\")\r\n self.label_137 = QtWidgets.QLabel(self.list_perf_calc_page_2)\r\n self.label_137.setGeometry(QtCore.QRect(6, 13, 55, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_137.setFont(font)\r\n self.label_137.setObjectName(\"label_137\")\r\n self.preview_mp_perf_2 = QtWidgets.QTableWidget(self.list_perf_calc_page_2)\r\n self.preview_mp_perf_2.setGeometry(QtCore.QRect(10, 61, 801, 131))\r\n self.preview_mp_perf_2.setObjectName(\"preview_mp_perf_2\")\r\n self.preview_mp_perf_2.setColumnCount(0)\r\n self.preview_mp_perf_2.setRowCount(0)\r\n self.label_138 = QtWidgets.QLabel(self.list_perf_calc_page_2)\r\n self.label_138.setGeometry(QtCore.QRect(10, 41, 91, 16))\r\n self.label_138.setObjectName(\"label_138\")\r\n self.groupBox_19 = QtWidgets.QGroupBox(self.list_perf_calc_page_2)\r\n self.groupBox_19.setGeometry(QtCore.QRect(8, 199, 801, 261))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_19.setFont(font)\r\n self.groupBox_19.setAutoFillBackground(False)\r\n self.groupBox_19.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_19.setObjectName(\"groupBox_19\")\r\n self.label_139 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_139.setGeometry(QtCore.QRect(20, 27, 55, 16))\r\n self.label_139.setObjectName(\"label_139\")\r\n self.label_140 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_140.setGeometry(QtCore.QRect(20, 69, 161, 21))\r\n self.label_140.setObjectName(\"label_140\")\r\n self.name_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.name_sat_mp_perf_2.setGeometry(QtCore.QRect(100, 27, 511, 22))\r\n self.name_sat_mp_perf_2.setObjectName(\"name_sat_mp_perf_2\")\r\n self.long_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.long_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 69, 101, 22))\r\n self.long_sat_mp_perf_2.setObjectName(\"long_sat_mp_perf_2\")\r\n self.save_sat_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_19)\r\n self.save_sat_mp_perf_2.setGeometry(QtCore.QRect(658, 222, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_mp_perf_2.setFont(font)\r\n self.save_sat_mp_perf_2.setObjectName(\"save_sat_mp_perf_2\")\r\n self.load_sat_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_19)\r\n self.load_sat_mp_perf_2.setGeometry(QtCore.QRect(658, 190, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_mp_perf_2.setFont(font)\r\n self.load_sat_mp_perf_2.setObjectName(\"load_sat_mp_perf_2\")\r\n self.default_sat_mp_perf_2 = QtWidgets.QComboBox(self.groupBox_19)\r\n self.default_sat_mp_perf_2.setGeometry(QtCore.QRect(650, 58, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_mp_perf_2.setFont(font)\r\n self.default_sat_mp_perf_2.setObjectName(\"default_sat_mp_perf_2\")\r\n self.label_141 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_141.setGeometry(QtCore.QRect(651, 29, 131, 16))\r\n self.label_141.setObjectName(\"label_141\")\r\n self.label_142 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_142.setGeometry(QtCore.QRect(330, 70, 111, 16))\r\n self.label_142.setObjectName(\"label_142\")\r\n self.height_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.height_sat_mp_perf_2.setGeometry(QtCore.QRect(510, 67, 101, 22))\r\n self.height_sat_mp_perf_2.setObjectName(\"height_sat_mp_perf_2\")\r\n self.label_143 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_143.setGeometry(QtCore.QRect(330, 108, 121, 16))\r\n self.label_143.setObjectName(\"label_143\")\r\n self.eirp_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.eirp_sat_mp_perf_2.setGeometry(QtCore.QRect(510, 104, 101, 22))\r\n self.eirp_sat_mp_perf_2.setObjectName(\"eirp_sat_mp_perf_2\")\r\n self.label_144 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_144.setGeometry(QtCore.QRect(20, 137, 171, 51))\r\n self.label_144.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_144.setObjectName(\"label_144\")\r\n self.max_bw_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.max_bw_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 147, 101, 22))\r\n self.max_bw_sat_mp_perf_2.setObjectName(\"max_bw_sat_mp_perf_2\")\r\n self.label_145 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_145.setGeometry(QtCore.QRect(330, 132, 171, 51))\r\n self.label_145.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_145.setObjectName(\"label_145\")\r\n self.bw_util_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.bw_util_sat_mp_perf_2.setGeometry(QtCore.QRect(510, 145, 101, 22))\r\n self.bw_util_sat_mp_perf_2.setObjectName(\"bw_util_sat_mp_perf_2\")\r\n self.label_146 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_146.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_146.setObjectName(\"label_146\")\r\n self.rolloff_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.rolloff_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 191, 101, 22))\r\n self.rolloff_sat_mp_perf_2.setObjectName(\"rolloff_sat_mp_perf_2\")\r\n self.label_147 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_147.setGeometry(QtCore.QRect(330, 191, 91, 16))\r\n self.label_147.setObjectName(\"label_147\")\r\n self.modcod_sat_mp_perf_2 = QtWidgets.QComboBox(self.groupBox_19)\r\n self.modcod_sat_mp_perf_2.setGeometry(QtCore.QRect(450, 191, 161, 22))\r\n self.modcod_sat_mp_perf_2.setObjectName(\"modcod_sat_mp_perf_2\")\r\n self.modcod_sat_mp_perf_2.addItem(\"\")\r\n self.modcod_sat_mp_perf_2.addItem(\"\")\r\n self.modcod_sat_mp_perf_2.addItem(\"\")\r\n self.label_148 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_148.setGeometry(QtCore.QRect(20, 109, 131, 20))\r\n self.label_148.setObjectName(\"label_148\")\r\n self.freq_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\r\n self.freq_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 109, 101, 22))\r\n self.freq_sat_mp_perf_2.setObjectName(\"freq_sat_mp_perf_2\")\r\n self.label_149 = QtWidgets.QLabel(self.groupBox_19)\r\n self.label_149.setGeometry(QtCore.QRect(666, 89, 91, 20))\r\n self.label_149.setObjectName(\"label_149\")\r\n self.pol_sat_mp_perf_2 = QtWidgets.QComboBox(self.groupBox_19)\r\n self.pol_sat_mp_perf_2.setGeometry(QtCore.QRect(663, 119, 101, 22))\r\n self.pol_sat_mp_perf_2.setObjectName(\"pol_sat_mp_perf_2\")\r\n self.pol_sat_mp_perf_2.addItem(\"\")\r\n self.pol_sat_mp_perf_2.addItem(\"\")\r\n self.pol_sat_mp_perf_2.addItem(\"\")\r\n self.clear_satellite_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_19)\r\n self.clear_satellite_mp_perf_2.setGeometry(QtCore.QRect(658, 156, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_satellite_mp_perf_2.setFont(font)\r\n self.clear_satellite_mp_perf_2.setObjectName(\"clear_satellite_mp_perf_2\")\r\n self.groupBox_20 = QtWidgets.QGroupBox(self.list_perf_calc_page_2)\r\n self.groupBox_20.setGeometry(QtCore.QRect(10, 458, 801, 221))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_20.setFont(font)\r\n self.groupBox_20.setAutoFillBackground(False)\r\n self.groupBox_20.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_20.setObjectName(\"groupBox_20\")\r\n self.label_150 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_150.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_150.setObjectName(\"label_150\")\r\n self.label_151 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_151.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_151.setObjectName(\"label_151\")\r\n self.label_152 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_152.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_152.setObjectName(\"label_152\")\r\n self.name_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.name_reception_mp_perf_2.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_mp_perf_2.setObjectName(\"name_reception_mp_perf_2\")\r\n self.lnb_gain_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.lnb_gain_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_mp_perf_2.setObjectName(\"lnb_gain_reception_mp_perf_2\")\r\n self.ant_size_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.ant_size_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_mp_perf_2.setObjectName(\"ant_size_reception_mp_perf_2\")\r\n self.save_reception_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_20)\r\n self.save_reception_mp_perf_2.setGeometry(QtCore.QRect(656, 186, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_mp_perf_2.setFont(font)\r\n self.save_reception_mp_perf_2.setObjectName(\"save_reception_mp_perf_2\")\r\n self.load_reception_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_20)\r\n self.load_reception_mp_perf_2.setGeometry(QtCore.QRect(656, 151, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_mp_perf_2.setFont(font)\r\n self.load_reception_mp_perf_2.setObjectName(\"load_reception_mp_perf_2\")\r\n self.label_153 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_153.setGeometry(QtCore.QRect(330, 78, 141, 16))\r\n self.label_153.setObjectName(\"label_153\")\r\n self.ant_eff_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.ant_eff_reception_mp_perf_2.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_mp_perf_2.setObjectName(\"ant_eff_reception_mp_perf_2\")\r\n self.label_154 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_154.setGeometry(QtCore.QRect(330, 118, 161, 16))\r\n self.label_154.setScaledContents(False)\r\n self.label_154.setObjectName(\"label_154\")\r\n self.lnb_temp_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.lnb_temp_reception_mp_perf_2.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_mp_perf_2.setObjectName(\"lnb_temp_reception_mp_perf_2\")\r\n self.label_155 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_155.setGeometry(QtCore.QRect(20, 132, 171, 51))\r\n self.label_155.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_155.setObjectName(\"label_155\")\r\n self.aditional_losses_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.aditional_losses_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 146, 101, 22))\r\n self.aditional_losses_reception_mp_perf_2.setObjectName(\"aditional_losses_reception_mp_perf_2\")\r\n self.label_156 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_156.setGeometry(QtCore.QRect(20, 170, 171, 51))\r\n self.label_156.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_156.setObjectName(\"label_156\")\r\n self.max_depoint_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.max_depoint_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.max_depoint_reception_mp_perf_2.setObjectName(\"max_depoint_reception_mp_perf_2\")\r\n self.clear_reception_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_20)\r\n self.clear_reception_mp_perf_2.setGeometry(QtCore.QRect(656, 115, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_mp_perf_2.setFont(font)\r\n self.clear_reception_mp_perf_2.setObjectName(\"clear_reception_mp_perf_2\")\r\n self.cable_loss_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\r\n self.cable_loss_reception_mp_perf_2.setGeometry(QtCore.QRect(510, 150, 101, 22))\r\n self.cable_loss_reception_mp_perf_2.setObjectName(\"cable_loss_reception_mp_perf_2\")\r\n self.label_157 = QtWidgets.QLabel(self.groupBox_20)\r\n self.label_157.setGeometry(QtCore.QRect(330, 133, 171, 51))\r\n self.label_157.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_157.setObjectName(\"label_157\")\r\n self.output_sp_perf_4 = QtWidgets.QTextEdit(self.list_perf_calc_page_2)\r\n self.output_sp_perf_4.setGeometry(QtCore.QRect(10, 684, 801, 141))\r\n self.output_sp_perf_4.setObjectName(\"output_sp_perf_4\")\r\n self.relaxation_mp_perf_2 = QtWidgets.QLineEdit(self.list_perf_calc_page_2)\r\n self.relaxation_mp_perf_2.setGeometry(QtCore.QRect(170, 832, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_mp_perf_2.setFont(font)\r\n self.relaxation_mp_perf_2.setToolTip(\"\")\r\n self.relaxation_mp_perf_2.setObjectName(\"relaxation_mp_perf_2\")\r\n self.calc_mp_perf_2 = QtWidgets.QPushButton(self.list_perf_calc_page_2)\r\n self.calc_mp_perf_2.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_mp_perf_2.setFont(font)\r\n self.calc_mp_perf_2.setObjectName(\"calc_mp_perf_2\")\r\n self.label_158 = QtWidgets.QLabel(self.list_perf_calc_page_2)\r\n self.label_158.setGeometry(QtCore.QRect(10, 833, 151, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_158.setFont(font)\r\n self.label_158.setObjectName(\"label_158\")\r\n self.label_159 = QtWidgets.QLabel(self.list_perf_calc_page_2)\r\n self.label_159.setGeometry(QtCore.QRect(420, 831, 61, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_159.setFont(font)\r\n self.label_159.setObjectName(\"label_159\")\r\n self.n_threads_2 = QtWidgets.QComboBox(self.list_perf_calc_page_2)\r\n self.n_threads_2.setGeometry(QtCore.QRect(490, 831, 73, 22))\r\n self.n_threads_2.setObjectName(\"n_threads_2\")\r\n self.path_mp_perf_2 = QtWidgets.QLineEdit(self.list_perf_calc_page_2)\r\n self.path_mp_perf_2.setGeometry(QtCore.QRect(55, 10, 631, 22))\r\n self.path_mp_perf_2.setObjectName(\"path_mp_perf_2\")\r\n self.label_160 = QtWidgets.QLabel(self.list_perf_calc_page_2)\r\n self.label_160.setGeometry(QtCore.QRect(240, 831, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_160.setFont(font)\r\n self.label_160.setObjectName(\"label_160\")\r\n self.margin_mp_perf_2 = QtWidgets.QLineEdit(self.list_perf_calc_page_2)\r\n self.margin_mp_perf_2.setGeometry(QtCore.QRect(340, 831, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_mp_perf_2.setFont(font)\r\n self.margin_mp_perf_2.setToolTip(\"\")\r\n self.margin_mp_perf_2.setObjectName(\"margin_mp_perf_2\")\r\n self.stackedWidget_2.addWidget(self.list_perf_calc_page_2)\r\n self.stackedWidget.addWidget(self.single_point_ant_size_calc_page)\r\n self.list_ant_size_calc = QtWidgets.QWidget()\r\n self.list_ant_size_calc.setObjectName(\"list_ant_size_calc\")\r\n self.stackedWidget_3 = QtWidgets.QStackedWidget(self.list_ant_size_calc)\r\n self.stackedWidget_3.setGeometry(QtCore.QRect(0, 0, 811, 861))\r\n self.stackedWidget_3.setObjectName(\"stackedWidget_3\")\r\n self.home_page_2 = QtWidgets.QWidget()\r\n self.home_page_2.setObjectName(\"home_page_2\")\r\n self.label_129 = QtWidgets.QLabel(self.home_page_2)\r\n self.label_129.setGeometry(QtCore.QRect(217, 270, 431, 391))\r\n self.label_129.setText(\"\")\r\n self.label_129.setPixmap(QtGui.QPixmap(\"UI\\\\home_logo.png\"))\r\n self.label_129.setObjectName(\"label_129\")\r\n self.stackedWidget_3.addWidget(self.home_page_2)\r\n self.satellite_page_3 = QtWidgets.QWidget()\r\n self.satellite_page_3.setObjectName(\"satellite_page_3\")\r\n self.groupBox_21 = QtWidgets.QGroupBox(self.satellite_page_3)\r\n self.groupBox_21.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_21.setFont(font)\r\n self.groupBox_21.setAutoFillBackground(False)\r\n self.groupBox_21.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_21.setObjectName(\"groupBox_21\")\r\n self.label_161 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_161.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_161.setObjectName(\"label_161\")\r\n self.label_162 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_162.setGeometry(QtCore.QRect(20, 80, 161, 21))\r\n self.label_162.setObjectName(\"label_162\")\r\n self.name_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.name_sat_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_sat_3.setObjectName(\"name_sat_3\")\r\n self.long_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.long_sat_3.setGeometry(QtCore.QRect(200, 80, 101, 22))\r\n self.long_sat_3.setObjectName(\"long_sat_3\")\r\n self.save_sat_3 = QtWidgets.QPushButton(self.groupBox_21)\r\n self.save_sat_3.setGeometry(QtCore.QRect(680, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_3.setFont(font)\r\n self.save_sat_3.setObjectName(\"save_sat_3\")\r\n self.load_sat_3 = QtWidgets.QPushButton(self.groupBox_21)\r\n self.load_sat_3.setGeometry(QtCore.QRect(550, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_3.setFont(font)\r\n self.load_sat_3.setObjectName(\"load_sat_3\")\r\n self.default_sat_3 = QtWidgets.QComboBox(self.groupBox_21)\r\n self.default_sat_3.setGeometry(QtCore.QRect(650, 70, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_3.setFont(font)\r\n self.default_sat_3.setObjectName(\"default_sat_3\")\r\n self.label_163 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_163.setGeometry(QtCore.QRect(650, 40, 131, 16))\r\n self.label_163.setObjectName(\"label_163\")\r\n self.label_164 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_164.setGeometry(QtCore.QRect(330, 78, 111, 16))\r\n self.label_164.setObjectName(\"label_164\")\r\n self.height_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.height_sat_3.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.height_sat_3.setObjectName(\"height_sat_3\")\r\n self.label_165 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_165.setGeometry(QtCore.QRect(330, 119, 121, 16))\r\n self.label_165.setObjectName(\"label_165\")\r\n self.eirp_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.eirp_sat_3.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.eirp_sat_3.setObjectName(\"eirp_sat_3\")\r\n self.label_166 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_166.setGeometry(QtCore.QRect(20, 148, 171, 51))\r\n self.label_166.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_166.setObjectName(\"label_166\")\r\n self.max_bw_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.max_bw_sat_3.setGeometry(QtCore.QRect(200, 158, 101, 22))\r\n self.max_bw_sat_3.setObjectName(\"max_bw_sat_3\")\r\n self.label_167 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_167.setGeometry(QtCore.QRect(330, 143, 171, 51))\r\n self.label_167.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_167.setObjectName(\"label_167\")\r\n self.bw_util_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.bw_util_sat_3.setGeometry(QtCore.QRect(510, 156, 101, 22))\r\n self.bw_util_sat_3.setObjectName(\"bw_util_sat_3\")\r\n self.label_168 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_168.setGeometry(QtCore.QRect(20, 203, 61, 16))\r\n self.label_168.setObjectName(\"label_168\")\r\n self.rolloff_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.rolloff_sat_3.setGeometry(QtCore.QRect(200, 203, 101, 22))\r\n self.rolloff_sat_3.setObjectName(\"rolloff_sat_3\")\r\n self.label_169 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_169.setGeometry(QtCore.QRect(330, 203, 91, 16))\r\n self.label_169.setObjectName(\"label_169\")\r\n self.modcod_sat_3 = QtWidgets.QComboBox(self.groupBox_21)\r\n self.modcod_sat_3.setGeometry(QtCore.QRect(450, 203, 161, 22))\r\n self.modcod_sat_3.setObjectName(\"modcod_sat_3\")\r\n self.modcod_sat_3.addItem(\"\")\r\n self.modcod_sat_3.addItem(\"\")\r\n self.modcod_sat_3.addItem(\"\")\r\n self.label_170 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_170.setGeometry(QtCore.QRect(20, 120, 131, 20))\r\n self.label_170.setObjectName(\"label_170\")\r\n self.freq_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\r\n self.freq_sat_3.setGeometry(QtCore.QRect(200, 120, 101, 22))\r\n self.freq_sat_3.setObjectName(\"freq_sat_3\")\r\n self.label_171 = QtWidgets.QLabel(self.groupBox_21)\r\n self.label_171.setGeometry(QtCore.QRect(673, 100, 91, 20))\r\n self.label_171.setObjectName(\"label_171\")\r\n self.pol_sat_5 = QtWidgets.QComboBox(self.groupBox_21)\r\n self.pol_sat_5.setGeometry(QtCore.QRect(667, 130, 101, 22))\r\n self.pol_sat_5.setObjectName(\"pol_sat_5\")\r\n self.pol_sat_5.addItem(\"\")\r\n self.pol_sat_5.addItem(\"\")\r\n self.pol_sat_5.addItem(\"\")\r\n self.clear_sat_3 = QtWidgets.QPushButton(self.groupBox_21)\r\n self.clear_sat_3.setGeometry(QtCore.QRect(420, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_3.setFont(font)\r\n self.clear_sat_3.setObjectName(\"clear_sat_3\")\r\n self.stackedWidget_3.addWidget(self.satellite_page_3)\r\n self.ground_station_page_3 = QtWidgets.QWidget()\r\n self.ground_station_page_3.setObjectName(\"ground_station_page_3\")\r\n self.groupBox_22 = QtWidgets.QGroupBox(self.ground_station_page_3)\r\n self.groupBox_22.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_22.setFont(font)\r\n self.groupBox_22.setAutoFillBackground(False)\r\n self.groupBox_22.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_22.setObjectName(\"groupBox_22\")\r\n self.label_172 = QtWidgets.QLabel(self.groupBox_22)\r\n self.label_172.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_172.setObjectName(\"label_172\")\r\n self.label_175 = QtWidgets.QLabel(self.groupBox_22)\r\n self.label_175.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_175.setObjectName(\"label_175\")\r\n self.label_176 = QtWidgets.QLabel(self.groupBox_22)\r\n self.label_176.setGeometry(QtCore.QRect(20, 111, 161, 21))\r\n self.label_176.setObjectName(\"label_176\")\r\n self.name_ground_station_grstat_3 = QtWidgets.QLineEdit(self.groupBox_22)\r\n self.name_ground_station_grstat_3.setGeometry(QtCore.QRect(100, 36, 271, 22))\r\n self.name_ground_station_grstat_3.setObjectName(\"name_ground_station_grstat_3\")\r\n self.long_ground_station_grstat_3 = QtWidgets.QLineEdit(self.groupBox_22)\r\n self.long_ground_station_grstat_3.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.long_ground_station_grstat_3.setObjectName(\"long_ground_station_grstat_3\")\r\n self.lat_ground_station_grstat_3 = QtWidgets.QLineEdit(self.groupBox_22)\r\n self.lat_ground_station_grstat_3.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_grstat_3.setObjectName(\"lat_ground_station_grstat_3\")\r\n self.save_ground_station_gdstation_3 = QtWidgets.QPushButton(self.groupBox_22)\r\n self.save_ground_station_gdstation_3.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_gdstation_3.setFont(font)\r\n self.save_ground_station_gdstation_3.setObjectName(\"save_ground_station_gdstation_3\")\r\n self.load_ground_station_gdstation_3 = QtWidgets.QPushButton(self.groupBox_22)\r\n self.load_ground_station_gdstation_3.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_gdstation_3.setFont(font)\r\n self.load_ground_station_gdstation_3.setObjectName(\"load_ground_station_gdstation_3\")\r\n self.clear_ground_station_gdstation_3 = QtWidgets.QPushButton(self.groupBox_22)\r\n self.clear_ground_station_gdstation_3.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_gdstation_3.setFont(font)\r\n self.clear_ground_station_gdstation_3.setObjectName(\"clear_ground_station_gdstation_3\")\r\n self.stackedWidget_3.addWidget(self.ground_station_page_3)\r\n self.reception_page_3 = QtWidgets.QWidget()\r\n self.reception_page_3.setObjectName(\"reception_page_3\")\r\n self.groupBox_23 = QtWidgets.QGroupBox(self.reception_page_3)\r\n self.groupBox_23.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_23.setFont(font)\r\n self.groupBox_23.setAutoFillBackground(False)\r\n self.groupBox_23.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_23.setObjectName(\"groupBox_23\")\r\n self.label_177 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_177.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_177.setObjectName(\"label_177\")\r\n self.label_178 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_178.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_178.setObjectName(\"label_178\")\r\n self.label_179 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_179.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_179.setObjectName(\"label_179\")\r\n self.name_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.name_reception_rcp_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_rcp_3.setObjectName(\"name_reception_rcp_3\")\r\n self.lnb_gain_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.lnb_gain_reception_rcp_3.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_rcp_3.setObjectName(\"lnb_gain_reception_rcp_3\")\r\n self.ant_size_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.ant_size_reception_rcp_3.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_rcp_3.setObjectName(\"ant_size_reception_rcp_3\")\r\n self.save_reception_rcp_3 = QtWidgets.QPushButton(self.groupBox_23)\r\n self.save_reception_rcp_3.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_rcp_3.setFont(font)\r\n self.save_reception_rcp_3.setObjectName(\"save_reception_rcp_3\")\r\n self.load_reception_rcp_9 = QtWidgets.QPushButton(self.groupBox_23)\r\n self.load_reception_rcp_9.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_9.setFont(font)\r\n self.load_reception_rcp_9.setObjectName(\"load_reception_rcp_9\")\r\n self.label_180 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_180.setGeometry(QtCore.QRect(330, 80, 171, 16))\r\n self.label_180.setObjectName(\"label_180\")\r\n self.ant_eff_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.ant_eff_reception_rcp_3.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_rcp_3.setObjectName(\"ant_eff_reception_rcp_3\")\r\n self.label_181 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_181.setGeometry(QtCore.QRect(330, 119, 161, 16))\r\n self.label_181.setObjectName(\"label_181\")\r\n self.lnb_temp_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.lnb_temp_reception_rcp_3.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_rcp_3.setObjectName(\"lnb_temp_reception_rcp_3\")\r\n self.label_182 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_182.setGeometry(QtCore.QRect(20, 138, 171, 51))\r\n self.label_182.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_182.setObjectName(\"label_182\")\r\n self.aditional_losses_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.aditional_losses_reception_rcp_3.setGeometry(QtCore.QRect(200, 153, 101, 22))\r\n self.aditional_losses_reception_rcp_3.setObjectName(\"aditional_losses_reception_rcp_3\")\r\n self.label_183 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_183.setGeometry(QtCore.QRect(20, 187, 171, 51))\r\n self.label_183.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_183.setObjectName(\"label_183\")\r\n self.max_depoint_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.max_depoint_reception_rcp_3.setGeometry(QtCore.QRect(200, 200, 101, 22))\r\n self.max_depoint_reception_rcp_3.setObjectName(\"max_depoint_reception_rcp_3\")\r\n self.clear_reception_rcp_5 = QtWidgets.QPushButton(self.groupBox_23)\r\n self.clear_reception_rcp_5.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp_5.setFont(font)\r\n self.clear_reception_rcp_5.setObjectName(\"clear_reception_rcp_5\")\r\n self.label_184 = QtWidgets.QLabel(self.groupBox_23)\r\n self.label_184.setGeometry(QtCore.QRect(330, 140, 171, 51))\r\n self.label_184.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_184.setObjectName(\"label_184\")\r\n self.cable_loss_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\r\n self.cable_loss_reception_rcp_3.setGeometry(QtCore.QRect(510, 155, 101, 22))\r\n self.cable_loss_reception_rcp_3.setObjectName(\"cable_loss_reception_rcp_3\")\r\n self.stackedWidget_3.addWidget(self.reception_page_3)\r\n self.ant_size_single_point_calc_page_3 = QtWidgets.QWidget()\r\n self.ant_size_single_point_calc_page_3.setObjectName(\"ant_size_single_point_calc_page_3\")\r\n self.stackedWidget_4 = QtWidgets.QStackedWidget(self.ant_size_single_point_calc_page_3)\r\n self.stackedWidget_4.setGeometry(QtCore.QRect(0, 0, 811, 861))\r\n self.stackedWidget_4.setObjectName(\"stackedWidget_4\")\r\n self.empty_page_3 = QtWidgets.QWidget()\r\n self.empty_page_3.setObjectName(\"empty_page_3\")\r\n self.label_185 = QtWidgets.QLabel(self.empty_page_3)\r\n self.label_185.setGeometry(QtCore.QRect(217, 270, 431, 391))\r\n self.label_185.setText(\"\")\r\n self.label_185.setPixmap(QtGui.QPixmap(\"UI\\\\home_logo.png\"))\r\n self.label_185.setObjectName(\"label_185\")\r\n self.stackedWidget_4.addWidget(self.empty_page_3)\r\n self.satellite_page_4 = QtWidgets.QWidget()\r\n self.satellite_page_4.setObjectName(\"satellite_page_4\")\r\n self.groupBox_24 = QtWidgets.QGroupBox(self.satellite_page_4)\r\n self.groupBox_24.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_24.setFont(font)\r\n self.groupBox_24.setAutoFillBackground(False)\r\n self.groupBox_24.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_24.setObjectName(\"groupBox_24\")\r\n self.label_186 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_186.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_186.setObjectName(\"label_186\")\r\n self.label_187 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_187.setGeometry(QtCore.QRect(20, 80, 161, 21))\r\n self.label_187.setObjectName(\"label_187\")\r\n self.name_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.name_sat_4.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_sat_4.setObjectName(\"name_sat_4\")\r\n self.long_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.long_sat_4.setGeometry(QtCore.QRect(200, 80, 101, 22))\r\n self.long_sat_4.setObjectName(\"long_sat_4\")\r\n self.save_sat_4 = QtWidgets.QPushButton(self.groupBox_24)\r\n self.save_sat_4.setGeometry(QtCore.QRect(680, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_4.setFont(font)\r\n self.save_sat_4.setObjectName(\"save_sat_4\")\r\n self.load_sat_4 = QtWidgets.QPushButton(self.groupBox_24)\r\n self.load_sat_4.setGeometry(QtCore.QRect(550, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_4.setFont(font)\r\n self.load_sat_4.setObjectName(\"load_sat_4\")\r\n self.default_sat_4 = QtWidgets.QComboBox(self.groupBox_24)\r\n self.default_sat_4.setGeometry(QtCore.QRect(650, 70, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_4.setFont(font)\r\n self.default_sat_4.setObjectName(\"default_sat_4\")\r\n self.label_188 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_188.setGeometry(QtCore.QRect(650, 40, 131, 16))\r\n self.label_188.setObjectName(\"label_188\")\r\n self.label_189 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_189.setGeometry(QtCore.QRect(330, 78, 111, 16))\r\n self.label_189.setObjectName(\"label_189\")\r\n self.height_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.height_sat_4.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.height_sat_4.setObjectName(\"height_sat_4\")\r\n self.label_190 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_190.setGeometry(QtCore.QRect(330, 119, 121, 16))\r\n self.label_190.setObjectName(\"label_190\")\r\n self.eirp_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.eirp_sat_4.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.eirp_sat_4.setObjectName(\"eirp_sat_4\")\r\n self.label_191 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_191.setGeometry(QtCore.QRect(20, 148, 171, 51))\r\n self.label_191.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_191.setObjectName(\"label_191\")\r\n self.max_bw_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.max_bw_sat_4.setGeometry(QtCore.QRect(200, 158, 101, 22))\r\n self.max_bw_sat_4.setObjectName(\"max_bw_sat_4\")\r\n self.label_192 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_192.setGeometry(QtCore.QRect(330, 143, 171, 51))\r\n self.label_192.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_192.setObjectName(\"label_192\")\r\n self.bw_util_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.bw_util_sat_4.setGeometry(QtCore.QRect(510, 156, 101, 22))\r\n self.bw_util_sat_4.setObjectName(\"bw_util_sat_4\")\r\n self.label_193 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_193.setGeometry(QtCore.QRect(20, 203, 61, 16))\r\n self.label_193.setObjectName(\"label_193\")\r\n self.rolloff_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.rolloff_sat_4.setGeometry(QtCore.QRect(200, 203, 101, 22))\r\n self.rolloff_sat_4.setObjectName(\"rolloff_sat_4\")\r\n self.label_194 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_194.setGeometry(QtCore.QRect(330, 203, 91, 16))\r\n self.label_194.setObjectName(\"label_194\")\r\n self.modcod_sat_4 = QtWidgets.QComboBox(self.groupBox_24)\r\n self.modcod_sat_4.setGeometry(QtCore.QRect(450, 203, 161, 22))\r\n self.modcod_sat_4.setObjectName(\"modcod_sat_4\")\r\n self.modcod_sat_4.addItem(\"\")\r\n self.modcod_sat_4.addItem(\"\")\r\n self.modcod_sat_4.addItem(\"\")\r\n self.label_195 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_195.setGeometry(QtCore.QRect(20, 120, 131, 20))\r\n self.label_195.setObjectName(\"label_195\")\r\n self.freq_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\r\n self.freq_sat_4.setGeometry(QtCore.QRect(200, 120, 101, 22))\r\n self.freq_sat_4.setObjectName(\"freq_sat_4\")\r\n self.label_196 = QtWidgets.QLabel(self.groupBox_24)\r\n self.label_196.setGeometry(QtCore.QRect(673, 100, 91, 20))\r\n self.label_196.setObjectName(\"label_196\")\r\n self.pol_sat_6 = QtWidgets.QComboBox(self.groupBox_24)\r\n self.pol_sat_6.setGeometry(QtCore.QRect(667, 130, 101, 22))\r\n self.pol_sat_6.setObjectName(\"pol_sat_6\")\r\n self.pol_sat_6.addItem(\"\")\r\n self.pol_sat_6.addItem(\"\")\r\n self.pol_sat_6.addItem(\"\")\r\n self.clear_sat_4 = QtWidgets.QPushButton(self.groupBox_24)\r\n self.clear_sat_4.setGeometry(QtCore.QRect(420, 810, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_4.setFont(font)\r\n self.clear_sat_4.setObjectName(\"clear_sat_4\")\r\n self.stackedWidget_4.addWidget(self.satellite_page_4)\r\n self.ground_station_page_4 = QtWidgets.QWidget()\r\n self.ground_station_page_4.setObjectName(\"ground_station_page_4\")\r\n self.groupBox_25 = QtWidgets.QGroupBox(self.ground_station_page_4)\r\n self.groupBox_25.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_25.setFont(font)\r\n self.groupBox_25.setAutoFillBackground(False)\r\n self.groupBox_25.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_25.setObjectName(\"groupBox_25\")\r\n self.label_197 = QtWidgets.QLabel(self.groupBox_25)\r\n self.label_197.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_197.setObjectName(\"label_197\")\r\n self.label_198 = QtWidgets.QLabel(self.groupBox_25)\r\n self.label_198.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_198.setObjectName(\"label_198\")\r\n self.label_199 = QtWidgets.QLabel(self.groupBox_25)\r\n self.label_199.setGeometry(QtCore.QRect(20, 111, 161, 21))\r\n self.label_199.setObjectName(\"label_199\")\r\n self.name_ground_station_grstat_4 = QtWidgets.QLineEdit(self.groupBox_25)\r\n self.name_ground_station_grstat_4.setGeometry(QtCore.QRect(100, 36, 271, 22))\r\n self.name_ground_station_grstat_4.setObjectName(\"name_ground_station_grstat_4\")\r\n self.long_ground_station_grstat_4 = QtWidgets.QLineEdit(self.groupBox_25)\r\n self.long_ground_station_grstat_4.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.long_ground_station_grstat_4.setObjectName(\"long_ground_station_grstat_4\")\r\n self.lat_ground_station_grstat_4 = QtWidgets.QLineEdit(self.groupBox_25)\r\n self.lat_ground_station_grstat_4.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_grstat_4.setObjectName(\"lat_ground_station_grstat_4\")\r\n self.save_ground_station_gdstation_4 = QtWidgets.QPushButton(self.groupBox_25)\r\n self.save_ground_station_gdstation_4.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_gdstation_4.setFont(font)\r\n self.save_ground_station_gdstation_4.setObjectName(\"save_ground_station_gdstation_4\")\r\n self.load_ground_station_gdstation_4 = QtWidgets.QPushButton(self.groupBox_25)\r\n self.load_ground_station_gdstation_4.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_gdstation_4.setFont(font)\r\n self.load_ground_station_gdstation_4.setObjectName(\"load_ground_station_gdstation_4\")\r\n self.clear_ground_station_gdstation_4 = QtWidgets.QPushButton(self.groupBox_25)\r\n self.clear_ground_station_gdstation_4.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_gdstation_4.setFont(font)\r\n self.clear_ground_station_gdstation_4.setObjectName(\"clear_ground_station_gdstation_4\")\r\n self.stackedWidget_4.addWidget(self.ground_station_page_4)\r\n self.reception_page_4 = QtWidgets.QWidget()\r\n self.reception_page_4.setObjectName(\"reception_page_4\")\r\n self.groupBox_26 = QtWidgets.QGroupBox(self.reception_page_4)\r\n self.groupBox_26.setGeometry(QtCore.QRect(10, 10, 801, 851))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_26.setFont(font)\r\n self.groupBox_26.setAutoFillBackground(False)\r\n self.groupBox_26.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_26.setObjectName(\"groupBox_26\")\r\n self.label_200 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_200.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_200.setObjectName(\"label_200\")\r\n self.label_201 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_201.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_201.setObjectName(\"label_201\")\r\n self.label_202 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_202.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_202.setObjectName(\"label_202\")\r\n self.name_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.name_reception_rcp_4.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_rcp_4.setObjectName(\"name_reception_rcp_4\")\r\n self.lnb_gain_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.lnb_gain_reception_rcp_4.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_rcp_4.setObjectName(\"lnb_gain_reception_rcp_4\")\r\n self.ant_size_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.ant_size_reception_rcp_4.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_rcp_4.setObjectName(\"ant_size_reception_rcp_4\")\r\n self.save_reception_rcp_4 = QtWidgets.QPushButton(self.groupBox_26)\r\n self.save_reception_rcp_4.setGeometry(QtCore.QRect(700, 810, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_rcp_4.setFont(font)\r\n self.save_reception_rcp_4.setObjectName(\"save_reception_rcp_4\")\r\n self.load_reception_rcp_10 = QtWidgets.QPushButton(self.groupBox_26)\r\n self.load_reception_rcp_10.setGeometry(QtCore.QRect(591, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_10.setFont(font)\r\n self.load_reception_rcp_10.setObjectName(\"load_reception_rcp_10\")\r\n self.label_203 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_203.setGeometry(QtCore.QRect(330, 80, 171, 16))\r\n self.label_203.setObjectName(\"label_203\")\r\n self.ant_eff_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.ant_eff_reception_rcp_4.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_rcp_4.setObjectName(\"ant_eff_reception_rcp_4\")\r\n self.label_204 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_204.setGeometry(QtCore.QRect(330, 119, 161, 16))\r\n self.label_204.setObjectName(\"label_204\")\r\n self.lnb_temp_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.lnb_temp_reception_rcp_4.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_rcp_4.setObjectName(\"lnb_temp_reception_rcp_4\")\r\n self.label_205 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_205.setGeometry(QtCore.QRect(20, 138, 171, 51))\r\n self.label_205.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_205.setObjectName(\"label_205\")\r\n self.aditional_losses_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.aditional_losses_reception_rcp_4.setGeometry(QtCore.QRect(200, 153, 101, 22))\r\n self.aditional_losses_reception_rcp_4.setObjectName(\"aditional_losses_reception_rcp_4\")\r\n self.label_206 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_206.setGeometry(QtCore.QRect(20, 187, 171, 51))\r\n self.label_206.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_206.setObjectName(\"label_206\")\r\n self.max_depoint_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.max_depoint_reception_rcp_4.setGeometry(QtCore.QRect(200, 200, 101, 22))\r\n self.max_depoint_reception_rcp_4.setObjectName(\"max_depoint_reception_rcp_4\")\r\n self.clear_reception_rcp_6 = QtWidgets.QPushButton(self.groupBox_26)\r\n self.clear_reception_rcp_6.setGeometry(QtCore.QRect(481, 811, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp_6.setFont(font)\r\n self.clear_reception_rcp_6.setObjectName(\"clear_reception_rcp_6\")\r\n self.label_207 = QtWidgets.QLabel(self.groupBox_26)\r\n self.label_207.setGeometry(QtCore.QRect(330, 140, 171, 51))\r\n self.label_207.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_207.setObjectName(\"label_207\")\r\n self.cable_loss_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\r\n self.cable_loss_reception_rcp_4.setGeometry(QtCore.QRect(510, 155, 101, 22))\r\n self.cable_loss_reception_rcp_4.setObjectName(\"cable_loss_reception_rcp_4\")\r\n self.stackedWidget_4.addWidget(self.reception_page_4)\r\n self.ant_size_single_point_calc_page_4 = QtWidgets.QWidget()\r\n self.ant_size_single_point_calc_page_4.setObjectName(\"ant_size_single_point_calc_page_4\")\r\n self.stackedWidget_4.addWidget(self.ant_size_single_point_calc_page_4)\r\n self.list_ant_size_calc_page_3 = QtWidgets.QWidget()\r\n self.list_ant_size_calc_page_3.setObjectName(\"list_ant_size_calc_page_3\")\r\n self.stackedWidget_4.addWidget(self.list_ant_size_calc_page_3)\r\n self.single_point_atm_calc_page_3 = QtWidgets.QWidget()\r\n self.single_point_atm_calc_page_3.setObjectName(\"single_point_atm_calc_page_3\")\r\n self.groupBox_27 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_3)\r\n self.groupBox_27.setGeometry(QtCore.QRect(20, 20, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_27.setFont(font)\r\n self.groupBox_27.setObjectName(\"groupBox_27\")\r\n self.lat_ground_station_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\r\n self.lat_ground_station_spatm_3.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.lat_ground_station_spatm_3.setObjectName(\"lat_ground_station_spatm_3\")\r\n self.long_ground_station_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\r\n self.long_ground_station_spatm_3.setGeometry(QtCore.QRect(500, 30, 101, 22))\r\n self.long_ground_station_spatm_3.setObjectName(\"long_ground_station_spatm_3\")\r\n self.label_208 = QtWidgets.QLabel(self.groupBox_27)\r\n self.label_208.setGeometry(QtCore.QRect(20, 23, 151, 31))\r\n self.label_208.setObjectName(\"label_208\")\r\n self.label_209 = QtWidgets.QLabel(self.groupBox_27)\r\n self.label_209.setGeometry(QtCore.QRect(319, 28, 161, 21))\r\n self.label_209.setObjectName(\"label_209\")\r\n self.label_210 = QtWidgets.QLabel(self.groupBox_27)\r\n self.label_210.setGeometry(QtCore.QRect(20, 60, 161, 21))\r\n self.label_210.setObjectName(\"label_210\")\r\n self.ant_size_reception_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\r\n self.ant_size_reception_spatm_3.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.ant_size_reception_spatm_3.setObjectName(\"ant_size_reception_spatm_3\")\r\n self.ant_eff_reception_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\r\n self.ant_eff_reception_spatm_3.setGeometry(QtCore.QRect(500, 60, 101, 22))\r\n self.ant_eff_reception_spatm_3.setObjectName(\"ant_eff_reception_spatm_3\")\r\n self.label_211 = QtWidgets.QLabel(self.groupBox_27)\r\n self.label_211.setGeometry(QtCore.QRect(320, 60, 141, 16))\r\n self.label_211.setObjectName(\"label_211\")\r\n self.clear_reception_rcp_7 = QtWidgets.QPushButton(self.groupBox_27)\r\n self.clear_reception_rcp_7.setGeometry(QtCore.QRect(660, 30, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp_7.setFont(font)\r\n self.clear_reception_rcp_7.setObjectName(\"clear_reception_rcp_7\")\r\n self.load_reception_rcp_11 = QtWidgets.QPushButton(self.groupBox_27)\r\n self.load_reception_rcp_11.setGeometry(QtCore.QRect(15, 91, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_11.setFont(font)\r\n self.load_reception_rcp_11.setObjectName(\"load_reception_rcp_11\")\r\n self.load_reception_rcp_12 = QtWidgets.QPushButton(self.groupBox_27)\r\n self.load_reception_rcp_12.setGeometry(QtCore.QRect(230, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_12.setFont(font)\r\n self.load_reception_rcp_12.setObjectName(\"load_reception_rcp_12\")\r\n self.calc_spatm_3 = QtWidgets.QPushButton(self.single_point_atm_calc_page_3)\r\n self.calc_spatm_3.setGeometry(QtCore.QRect(666, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_spatm_3.setFont(font)\r\n self.calc_spatm_3.setObjectName(\"calc_spatm_3\")\r\n self.textEdit_4 = QtWidgets.QTextEdit(self.single_point_atm_calc_page_3)\r\n self.textEdit_4.setGeometry(QtCore.QRect(6, 650, 801, 171))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.textEdit_4.setFont(font)\r\n self.textEdit_4.setObjectName(\"textEdit_4\")\r\n self.groupBox_28 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_3)\r\n self.groupBox_28.setGeometry(QtCore.QRect(20, 150, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_28.setFont(font)\r\n self.groupBox_28.setObjectName(\"groupBox_28\")\r\n self.label_212 = QtWidgets.QLabel(self.groupBox_28)\r\n self.label_212.setGeometry(QtCore.QRect(20, 60, 131, 16))\r\n self.label_212.setObjectName(\"label_212\")\r\n self.label_213 = QtWidgets.QLabel(self.groupBox_28)\r\n self.label_213.setGeometry(QtCore.QRect(20, 30, 161, 21))\r\n self.label_213.setObjectName(\"label_213\")\r\n self.long_sat_spatm_3 = QtWidgets.QLineEdit(self.groupBox_28)\r\n self.long_sat_spatm_3.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.long_sat_spatm_3.setObjectName(\"long_sat_spatm_3\")\r\n self.freq_sat_spatm_3 = QtWidgets.QLineEdit(self.groupBox_28)\r\n self.freq_sat_spatm_3.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.freq_sat_spatm_3.setObjectName(\"freq_sat_spatm_3\")\r\n self.default_sat_sp_perf_5 = QtWidgets.QComboBox(self.groupBox_28)\r\n self.default_sat_sp_perf_5.setGeometry(QtCore.QRect(634, 44, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_perf_5.setFont(font)\r\n self.default_sat_sp_perf_5.setObjectName(\"default_sat_sp_perf_5\")\r\n self.label_214 = QtWidgets.QLabel(self.groupBox_28)\r\n self.label_214.setGeometry(QtCore.QRect(636, 14, 131, 16))\r\n self.label_214.setObjectName(\"label_214\")\r\n self.pol_sat_7 = QtWidgets.QComboBox(self.groupBox_28)\r\n self.pol_sat_7.setGeometry(QtCore.QRect(450, 30, 101, 22))\r\n self.pol_sat_7.setObjectName(\"pol_sat_7\")\r\n self.pol_sat_7.addItem(\"\")\r\n self.pol_sat_7.addItem(\"\")\r\n self.pol_sat_7.addItem(\"\")\r\n self.label_215 = QtWidgets.QLabel(self.groupBox_28)\r\n self.label_215.setGeometry(QtCore.QRect(350, 30, 91, 20))\r\n self.label_215.setObjectName(\"label_215\")\r\n self.load_reception_rcp_13 = QtWidgets.QPushButton(self.groupBox_28)\r\n self.load_reception_rcp_13.setGeometry(QtCore.QRect(10, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_13.setFont(font)\r\n self.load_reception_rcp_13.setObjectName(\"load_reception_rcp_13\")\r\n self.p_year_spatm_3 = QtWidgets.QLineEdit(self.single_point_atm_calc_page_3)\r\n self.p_year_spatm_3.setGeometry(QtCore.QRect(550, 834, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.p_year_spatm_3.setFont(font)\r\n self.p_year_spatm_3.setToolTip(\"\")\r\n self.p_year_spatm_3.setObjectName(\"p_year_spatm_3\")\r\n self.label_216 = QtWidgets.QLabel(self.single_point_atm_calc_page_3)\r\n self.label_216.setGeometry(QtCore.QRect(340, 834, 201, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_216.setFont(font)\r\n self.label_216.setObjectName(\"label_216\")\r\n self.label_217 = QtWidgets.QLabel(self.single_point_atm_calc_page_3)\r\n self.label_217.setGeometry(QtCore.QRect(10, 837, 71, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_217.setFont(font)\r\n self.label_217.setObjectName(\"label_217\")\r\n self.method_spatm_3 = QtWidgets.QComboBox(self.single_point_atm_calc_page_3)\r\n self.method_spatm_3.setGeometry(QtCore.QRect(84, 835, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.method_spatm_3.setFont(font)\r\n self.method_spatm_3.setObjectName(\"method_spatm_3\")\r\n self.method_spatm_3.addItem(\"\")\r\n self.method_spatm_3.addItem(\"\")\r\n self.stackedWidget_4.addWidget(self.single_point_atm_calc_page_3)\r\n self.single_point_perf_calc_page_3 = QtWidgets.QWidget()\r\n self.single_point_perf_calc_page_3.setObjectName(\"single_point_perf_calc_page_3\")\r\n self.groupBox_29 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_3)\r\n self.groupBox_29.setGeometry(QtCore.QRect(10, 10, 801, 121))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_29.setFont(font)\r\n self.groupBox_29.setAutoFillBackground(False)\r\n self.groupBox_29.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_29.setObjectName(\"groupBox_29\")\r\n self.label_218 = QtWidgets.QLabel(self.groupBox_29)\r\n self.label_218.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_218.setObjectName(\"label_218\")\r\n self.label_219 = QtWidgets.QLabel(self.groupBox_29)\r\n self.label_219.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_219.setObjectName(\"label_219\")\r\n self.label_220 = QtWidgets.QLabel(self.groupBox_29)\r\n self.label_220.setGeometry(QtCore.QRect(330, 78, 161, 21))\r\n self.label_220.setObjectName(\"label_220\")\r\n self.name_ground_station_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_29)\r\n self.name_ground_station_sp_perf_3.setGeometry(QtCore.QRect(100, 36, 511, 22))\r\n self.name_ground_station_sp_perf_3.setObjectName(\"name_ground_station_sp_perf_3\")\r\n self.long_ground_station_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_29)\r\n self.long_ground_station_sp_perf_3.setGeometry(QtCore.QRect(510, 80, 101, 22))\r\n self.long_ground_station_sp_perf_3.setObjectName(\"long_ground_station_sp_perf_3\")\r\n self.lat_ground_station_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_29)\r\n self.lat_ground_station_sp_perf_3.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_sp_perf_3.setObjectName(\"lat_ground_station_sp_perf_3\")\r\n self.save_ground_station_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_29)\r\n self.save_ground_station_sp_perf_3.setGeometry(QtCore.QRect(652, 80, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_sp_perf_3.setFont(font)\r\n self.save_ground_station_sp_perf_3.setObjectName(\"save_ground_station_sp_perf_3\")\r\n self.load_ground_station_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_29)\r\n self.load_ground_station_sp_perf_3.setGeometry(QtCore.QRect(652, 48, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_sp_perf_3.setFont(font)\r\n self.load_ground_station_sp_perf_3.setObjectName(\"load_ground_station_sp_perf_3\")\r\n self.clear_ground_station_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_29)\r\n self.clear_ground_station_sp_perf_3.setGeometry(QtCore.QRect(652, 16, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_sp_perf_3.setFont(font)\r\n self.clear_ground_station_sp_perf_3.setObjectName(\"clear_ground_station_sp_perf_3\")\r\n self.groupBox_30 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_3)\r\n self.groupBox_30.setGeometry(QtCore.QRect(10, 129, 801, 271))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_30.setFont(font)\r\n self.groupBox_30.setAutoFillBackground(False)\r\n self.groupBox_30.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_30.setObjectName(\"groupBox_30\")\r\n self.label_221 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_221.setGeometry(QtCore.QRect(20, 29, 55, 16))\r\n self.label_221.setObjectName(\"label_221\")\r\n self.label_222 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_222.setGeometry(QtCore.QRect(20, 71, 161, 21))\r\n self.label_222.setObjectName(\"label_222\")\r\n self.name_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.name_sat_sp_perf_3.setGeometry(QtCore.QRect(100, 29, 511, 22))\r\n self.name_sat_sp_perf_3.setObjectName(\"name_sat_sp_perf_3\")\r\n self.long_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.long_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 71, 101, 22))\r\n self.long_sat_sp_perf_3.setObjectName(\"long_sat_sp_perf_3\")\r\n self.save_sat_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_30)\r\n self.save_sat_sp_perf_3.setGeometry(QtCore.QRect(653, 231, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_sp_perf_3.setFont(font)\r\n self.save_sat_sp_perf_3.setObjectName(\"save_sat_sp_perf_3\")\r\n self.load_sat_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_30)\r\n self.load_sat_sp_perf_3.setGeometry(QtCore.QRect(653, 199, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_sp_perf_3.setFont(font)\r\n self.load_sat_sp_perf_3.setObjectName(\"load_sat_sp_perf_3\")\r\n self.default_sat_sp_perf_6 = QtWidgets.QComboBox(self.groupBox_30)\r\n self.default_sat_sp_perf_6.setGeometry(QtCore.QRect(650, 61, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_perf_6.setFont(font)\r\n self.default_sat_sp_perf_6.setObjectName(\"default_sat_sp_perf_6\")\r\n self.label_223 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_223.setGeometry(QtCore.QRect(648, 31, 131, 16))\r\n self.label_223.setObjectName(\"label_223\")\r\n self.label_224 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_224.setGeometry(QtCore.QRect(330, 69, 111, 16))\r\n self.label_224.setObjectName(\"label_224\")\r\n self.height_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.height_sat_sp_perf_3.setGeometry(QtCore.QRect(510, 69, 101, 22))\r\n self.height_sat_sp_perf_3.setObjectName(\"height_sat_sp_perf_3\")\r\n self.label_225 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_225.setGeometry(QtCore.QRect(330, 110, 121, 16))\r\n self.label_225.setObjectName(\"label_225\")\r\n self.eirp_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.eirp_sat_sp_perf_3.setGeometry(QtCore.QRect(510, 106, 101, 22))\r\n self.eirp_sat_sp_perf_3.setObjectName(\"eirp_sat_sp_perf_3\")\r\n self.label_226 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_226.setGeometry(QtCore.QRect(20, 139, 171, 51))\r\n self.label_226.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_226.setObjectName(\"label_226\")\r\n self.max_bw_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.max_bw_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 149, 101, 22))\r\n self.max_bw_sat_sp_perf_3.setObjectName(\"max_bw_sat_sp_perf_3\")\r\n self.label_227 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_227.setGeometry(QtCore.QRect(330, 134, 171, 51))\r\n self.label_227.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_227.setObjectName(\"label_227\")\r\n self.bw_util_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.bw_util_sat_sp_perf_3.setGeometry(QtCore.QRect(510, 147, 101, 22))\r\n self.bw_util_sat_sp_perf_3.setObjectName(\"bw_util_sat_sp_perf_3\")\r\n self.label_228 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_228.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_228.setObjectName(\"label_228\")\r\n self.rolloff_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.rolloff_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.rolloff_sat_sp_perf_3.setObjectName(\"rolloff_sat_sp_perf_3\")\r\n self.label_229 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_229.setGeometry(QtCore.QRect(330, 192, 91, 16))\r\n self.label_229.setObjectName(\"label_229\")\r\n self.modcod_sat_sp_perf_3 = QtWidgets.QComboBox(self.groupBox_30)\r\n self.modcod_sat_sp_perf_3.setGeometry(QtCore.QRect(450, 190, 161, 22))\r\n self.modcod_sat_sp_perf_3.setObjectName(\"modcod_sat_sp_perf_3\")\r\n self.modcod_sat_sp_perf_3.addItem(\"\")\r\n self.modcod_sat_sp_perf_3.addItem(\"\")\r\n self.modcod_sat_sp_perf_3.addItem(\"\")\r\n self.label_230 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_230.setGeometry(QtCore.QRect(20, 111, 131, 20))\r\n self.label_230.setObjectName(\"label_230\")\r\n self.freq_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\r\n self.freq_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.freq_sat_sp_perf_3.setObjectName(\"freq_sat_sp_perf_3\")\r\n self.label_231 = QtWidgets.QLabel(self.groupBox_30)\r\n self.label_231.setGeometry(QtCore.QRect(665, 97, 91, 20))\r\n self.label_231.setObjectName(\"label_231\")\r\n self.pol_sat_sp_perf_3 = QtWidgets.QComboBox(self.groupBox_30)\r\n self.pol_sat_sp_perf_3.setGeometry(QtCore.QRect(660, 121, 101, 22))\r\n self.pol_sat_sp_perf_3.setObjectName(\"pol_sat_sp_perf_3\")\r\n self.pol_sat_sp_perf_3.addItem(\"\")\r\n self.pol_sat_sp_perf_3.addItem(\"\")\r\n self.pol_sat_sp_perf_3.addItem(\"\")\r\n self.clear_sat_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_30)\r\n self.clear_sat_sp_perf_3.setGeometry(QtCore.QRect(653, 169, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_sp_perf_3.setFont(font)\r\n self.clear_sat_sp_perf_3.setObjectName(\"clear_sat_sp_perf_3\")\r\n self.groupBox_31 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_3)\r\n self.groupBox_31.setGeometry(QtCore.QRect(10, 400, 801, 201))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_31.setFont(font)\r\n self.groupBox_31.setAutoFillBackground(False)\r\n self.groupBox_31.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_31.setObjectName(\"groupBox_31\")\r\n self.label_232 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_232.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_232.setObjectName(\"label_232\")\r\n self.label_233 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_233.setGeometry(QtCore.QRect(20, 71, 161, 21))\r\n self.label_233.setObjectName(\"label_233\")\r\n self.name_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.name_reception_sp_perf_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_sp_perf_3.setObjectName(\"name_reception_sp_perf_3\")\r\n self.lnb_gain_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.lnb_gain_reception_sp_perf_3.setGeometry(QtCore.QRect(200, 71, 101, 22))\r\n self.lnb_gain_reception_sp_perf_3.setObjectName(\"lnb_gain_reception_sp_perf_3\")\r\n self.save_reception_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_31)\r\n self.save_reception_sp_perf_3.setGeometry(QtCore.QRect(654, 147, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_sp_perf_3.setFont(font)\r\n self.save_reception_sp_perf_3.setObjectName(\"save_reception_sp_perf_3\")\r\n self.load_reception_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_31)\r\n self.load_reception_sp_perf_3.setGeometry(QtCore.QRect(654, 113, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_sp_perf_3.setFont(font)\r\n self.load_reception_sp_perf_3.setObjectName(\"load_reception_sp_perf_3\")\r\n self.label_234 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_234.setGeometry(QtCore.QRect(330, 148, 141, 16))\r\n self.label_234.setObjectName(\"label_234\")\r\n self.ant_eff_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.ant_eff_reception_sp_perf_3.setGeometry(QtCore.QRect(510, 148, 101, 22))\r\n self.ant_eff_reception_sp_perf_3.setObjectName(\"ant_eff_reception_sp_perf_3\")\r\n self.label_235 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_235.setGeometry(QtCore.QRect(330, 76, 161, 16))\r\n self.label_235.setObjectName(\"label_235\")\r\n self.lnb_temp_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.lnb_temp_reception_sp_perf_3.setGeometry(QtCore.QRect(510, 73, 101, 22))\r\n self.lnb_temp_reception_sp_perf_3.setObjectName(\"lnb_temp_reception_sp_perf_3\")\r\n self.label_236 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_236.setGeometry(QtCore.QRect(17, 97, 171, 51))\r\n self.label_236.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_236.setObjectName(\"label_236\")\r\n self.aditional_losses_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.aditional_losses_reception_sp_perf_3.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.aditional_losses_reception_sp_perf_3.setObjectName(\"aditional_losses_reception_sp_perf_3\")\r\n self.label_237 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_237.setGeometry(QtCore.QRect(19, 137, 171, 51))\r\n self.label_237.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_237.setObjectName(\"label_237\")\r\n self.max_depoint_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.max_depoint_reception_sp_perf_3.setGeometry(QtCore.QRect(200, 150, 101, 22))\r\n self.max_depoint_reception_sp_perf_3.setObjectName(\"max_depoint_reception_sp_perf_3\")\r\n self.clear_reception_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_31)\r\n self.clear_reception_sp_perf_3.setGeometry(QtCore.QRect(654, 81, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_sp_perf_3.setFont(font)\r\n self.clear_reception_sp_perf_3.setObjectName(\"clear_reception_sp_perf_3\")\r\n self.cable_loss_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\r\n self.cable_loss_reception_sp_perf_3.setGeometry(QtCore.QRect(509, 112, 101, 22))\r\n self.cable_loss_reception_sp_perf_3.setObjectName(\"cable_loss_reception_sp_perf_3\")\r\n self.label_238 = QtWidgets.QLabel(self.groupBox_31)\r\n self.label_238.setGeometry(QtCore.QRect(330, 98, 171, 51))\r\n self.label_238.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_238.setObjectName(\"label_238\")\r\n self.calc_sp_perf_3 = QtWidgets.QPushButton(self.single_point_perf_calc_page_3)\r\n self.calc_sp_perf_3.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_sp_perf_3.setFont(font)\r\n self.calc_sp_perf_3.setObjectName(\"calc_sp_perf_3\")\r\n self.label_239 = QtWidgets.QLabel(self.single_point_perf_calc_page_3)\r\n self.label_239.setGeometry(QtCore.QRect(10, 830, 151, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_239.setFont(font)\r\n self.label_239.setObjectName(\"label_239\")\r\n self.relaxation_sp_perf_3 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_3)\r\n self.relaxation_sp_perf_3.setGeometry(QtCore.QRect(170, 830, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_sp_perf_3.setFont(font)\r\n self.relaxation_sp_perf_3.setToolTip(\"\")\r\n self.relaxation_sp_perf_3.setObjectName(\"relaxation_sp_perf_3\")\r\n self.margin_sp_perf_3 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_3)\r\n self.margin_sp_perf_3.setGeometry(QtCore.QRect(340, 830, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_sp_perf_3.setFont(font)\r\n self.margin_sp_perf_3.setToolTip(\"\")\r\n self.margin_sp_perf_3.setObjectName(\"margin_sp_perf_3\")\r\n self.label_240 = QtWidgets.QLabel(self.single_point_perf_calc_page_3)\r\n self.label_240.setGeometry(QtCore.QRect(240, 830, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_240.setFont(font)\r\n self.label_240.setObjectName(\"label_240\")\r\n self.plot_area_2 = QtWidgets.QWidget(self.single_point_perf_calc_page_3)\r\n self.plot_area_2.setGeometry(QtCore.QRect(10, 609, 791, 211))\r\n self.plot_area_2.setObjectName(\"plot_area_2\")\r\n self.stackedWidget_4.addWidget(self.single_point_perf_calc_page_3)\r\n self.list_perf_calc_page_3 = QtWidgets.QWidget()\r\n self.list_perf_calc_page_3.setObjectName(\"list_perf_calc_page_3\")\r\n self.browse_path_mp_perf_3 = QtWidgets.QPushButton(self.list_perf_calc_page_3)\r\n self.browse_path_mp_perf_3.setGeometry(QtCore.QRect(700, 11, 93, 21))\r\n self.browse_path_mp_perf_3.setObjectName(\"browse_path_mp_perf_3\")\r\n self.label_241 = QtWidgets.QLabel(self.list_perf_calc_page_3)\r\n self.label_241.setGeometry(QtCore.QRect(6, 13, 55, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_241.setFont(font)\r\n self.label_241.setObjectName(\"label_241\")\r\n self.preview_mp_perf_3 = QtWidgets.QTableWidget(self.list_perf_calc_page_3)\r\n self.preview_mp_perf_3.setGeometry(QtCore.QRect(10, 61, 801, 131))\r\n self.preview_mp_perf_3.setObjectName(\"preview_mp_perf_3\")\r\n self.preview_mp_perf_3.setColumnCount(0)\r\n self.preview_mp_perf_3.setRowCount(0)\r\n self.label_242 = QtWidgets.QLabel(self.list_perf_calc_page_3)\r\n self.label_242.setGeometry(QtCore.QRect(10, 41, 91, 16))\r\n self.label_242.setObjectName(\"label_242\")\r\n self.groupBox_32 = QtWidgets.QGroupBox(self.list_perf_calc_page_3)\r\n self.groupBox_32.setGeometry(QtCore.QRect(8, 199, 801, 261))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_32.setFont(font)\r\n self.groupBox_32.setAutoFillBackground(False)\r\n self.groupBox_32.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_32.setObjectName(\"groupBox_32\")\r\n self.label_243 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_243.setGeometry(QtCore.QRect(20, 27, 55, 16))\r\n self.label_243.setObjectName(\"label_243\")\r\n self.label_244 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_244.setGeometry(QtCore.QRect(20, 69, 161, 21))\r\n self.label_244.setObjectName(\"label_244\")\r\n self.name_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.name_sat_mp_perf_3.setGeometry(QtCore.QRect(100, 27, 511, 22))\r\n self.name_sat_mp_perf_3.setObjectName(\"name_sat_mp_perf_3\")\r\n self.long_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.long_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 69, 101, 22))\r\n self.long_sat_mp_perf_3.setObjectName(\"long_sat_mp_perf_3\")\r\n self.save_sat_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_32)\r\n self.save_sat_mp_perf_3.setGeometry(QtCore.QRect(658, 222, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_mp_perf_3.setFont(font)\r\n self.save_sat_mp_perf_3.setObjectName(\"save_sat_mp_perf_3\")\r\n self.load_sat_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_32)\r\n self.load_sat_mp_perf_3.setGeometry(QtCore.QRect(658, 190, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_mp_perf_3.setFont(font)\r\n self.load_sat_mp_perf_3.setObjectName(\"load_sat_mp_perf_3\")\r\n self.default_sat_mp_perf_3 = QtWidgets.QComboBox(self.groupBox_32)\r\n self.default_sat_mp_perf_3.setGeometry(QtCore.QRect(650, 58, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_mp_perf_3.setFont(font)\r\n self.default_sat_mp_perf_3.setObjectName(\"default_sat_mp_perf_3\")\r\n self.label_245 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_245.setGeometry(QtCore.QRect(651, 29, 131, 16))\r\n self.label_245.setObjectName(\"label_245\")\r\n self.label_246 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_246.setGeometry(QtCore.QRect(330, 70, 111, 16))\r\n self.label_246.setObjectName(\"label_246\")\r\n self.height_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.height_sat_mp_perf_3.setGeometry(QtCore.QRect(510, 67, 101, 22))\r\n self.height_sat_mp_perf_3.setObjectName(\"height_sat_mp_perf_3\")\r\n self.label_247 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_247.setGeometry(QtCore.QRect(330, 108, 121, 16))\r\n self.label_247.setObjectName(\"label_247\")\r\n self.eirp_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.eirp_sat_mp_perf_3.setGeometry(QtCore.QRect(510, 104, 101, 22))\r\n self.eirp_sat_mp_perf_3.setObjectName(\"eirp_sat_mp_perf_3\")\r\n self.label_248 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_248.setGeometry(QtCore.QRect(20, 137, 171, 51))\r\n self.label_248.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_248.setObjectName(\"label_248\")\r\n self.max_bw_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.max_bw_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 147, 101, 22))\r\n self.max_bw_sat_mp_perf_3.setObjectName(\"max_bw_sat_mp_perf_3\")\r\n self.label_249 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_249.setGeometry(QtCore.QRect(330, 132, 171, 51))\r\n self.label_249.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_249.setObjectName(\"label_249\")\r\n self.bw_util_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.bw_util_sat_mp_perf_3.setGeometry(QtCore.QRect(510, 145, 101, 22))\r\n self.bw_util_sat_mp_perf_3.setObjectName(\"bw_util_sat_mp_perf_3\")\r\n self.label_250 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_250.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_250.setObjectName(\"label_250\")\r\n self.rolloff_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.rolloff_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 191, 101, 22))\r\n self.rolloff_sat_mp_perf_3.setObjectName(\"rolloff_sat_mp_perf_3\")\r\n self.label_251 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_251.setGeometry(QtCore.QRect(330, 191, 91, 16))\r\n self.label_251.setObjectName(\"label_251\")\r\n self.modcod_sat_mp_perf_3 = QtWidgets.QComboBox(self.groupBox_32)\r\n self.modcod_sat_mp_perf_3.setGeometry(QtCore.QRect(450, 191, 161, 22))\r\n self.modcod_sat_mp_perf_3.setObjectName(\"modcod_sat_mp_perf_3\")\r\n self.modcod_sat_mp_perf_3.addItem(\"\")\r\n self.modcod_sat_mp_perf_3.addItem(\"\")\r\n self.modcod_sat_mp_perf_3.addItem(\"\")\r\n self.label_252 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_252.setGeometry(QtCore.QRect(20, 109, 131, 20))\r\n self.label_252.setObjectName(\"label_252\")\r\n self.freq_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\r\n self.freq_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 109, 101, 22))\r\n self.freq_sat_mp_perf_3.setObjectName(\"freq_sat_mp_perf_3\")\r\n self.label_253 = QtWidgets.QLabel(self.groupBox_32)\r\n self.label_253.setGeometry(QtCore.QRect(666, 89, 91, 20))\r\n self.label_253.setObjectName(\"label_253\")\r\n self.pol_sat_mp_perf_3 = QtWidgets.QComboBox(self.groupBox_32)\r\n self.pol_sat_mp_perf_3.setGeometry(QtCore.QRect(663, 119, 101, 22))\r\n self.pol_sat_mp_perf_3.setObjectName(\"pol_sat_mp_perf_3\")\r\n self.pol_sat_mp_perf_3.addItem(\"\")\r\n self.pol_sat_mp_perf_3.addItem(\"\")\r\n self.pol_sat_mp_perf_3.addItem(\"\")\r\n self.clear_satellite_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_32)\r\n self.clear_satellite_mp_perf_3.setGeometry(QtCore.QRect(658, 156, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_satellite_mp_perf_3.setFont(font)\r\n self.clear_satellite_mp_perf_3.setObjectName(\"clear_satellite_mp_perf_3\")\r\n self.groupBox_33 = QtWidgets.QGroupBox(self.list_perf_calc_page_3)\r\n self.groupBox_33.setGeometry(QtCore.QRect(10, 458, 801, 221))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_33.setFont(font)\r\n self.groupBox_33.setAutoFillBackground(False)\r\n self.groupBox_33.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_33.setObjectName(\"groupBox_33\")\r\n self.label_254 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_254.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_254.setObjectName(\"label_254\")\r\n self.label_255 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_255.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_255.setObjectName(\"label_255\")\r\n self.label_256 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_256.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_256.setObjectName(\"label_256\")\r\n self.name_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.name_reception_mp_perf_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_mp_perf_3.setObjectName(\"name_reception_mp_perf_3\")\r\n self.lnb_gain_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.lnb_gain_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_mp_perf_3.setObjectName(\"lnb_gain_reception_mp_perf_3\")\r\n self.ant_size_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.ant_size_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_mp_perf_3.setObjectName(\"ant_size_reception_mp_perf_3\")\r\n self.save_reception_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_33)\r\n self.save_reception_mp_perf_3.setGeometry(QtCore.QRect(656, 186, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_mp_perf_3.setFont(font)\r\n self.save_reception_mp_perf_3.setObjectName(\"save_reception_mp_perf_3\")\r\n self.load_reception_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_33)\r\n self.load_reception_mp_perf_3.setGeometry(QtCore.QRect(656, 151, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_mp_perf_3.setFont(font)\r\n self.load_reception_mp_perf_3.setObjectName(\"load_reception_mp_perf_3\")\r\n self.label_257 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_257.setGeometry(QtCore.QRect(330, 78, 141, 16))\r\n self.label_257.setObjectName(\"label_257\")\r\n self.ant_eff_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.ant_eff_reception_mp_perf_3.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_mp_perf_3.setObjectName(\"ant_eff_reception_mp_perf_3\")\r\n self.label_258 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_258.setGeometry(QtCore.QRect(330, 118, 161, 16))\r\n self.label_258.setScaledContents(False)\r\n self.label_258.setObjectName(\"label_258\")\r\n self.lnb_temp_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.lnb_temp_reception_mp_perf_3.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_mp_perf_3.setObjectName(\"lnb_temp_reception_mp_perf_3\")\r\n self.label_259 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_259.setGeometry(QtCore.QRect(20, 132, 171, 51))\r\n self.label_259.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_259.setObjectName(\"label_259\")\r\n self.aditional_losses_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.aditional_losses_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 146, 101, 22))\r\n self.aditional_losses_reception_mp_perf_3.setObjectName(\"aditional_losses_reception_mp_perf_3\")\r\n self.label_260 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_260.setGeometry(QtCore.QRect(20, 170, 171, 51))\r\n self.label_260.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_260.setObjectName(\"label_260\")\r\n self.max_depoint_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.max_depoint_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.max_depoint_reception_mp_perf_3.setObjectName(\"max_depoint_reception_mp_perf_3\")\r\n self.clear_reception_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_33)\r\n self.clear_reception_mp_perf_3.setGeometry(QtCore.QRect(656, 115, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_mp_perf_3.setFont(font)\r\n self.clear_reception_mp_perf_3.setObjectName(\"clear_reception_mp_perf_3\")\r\n self.cable_loss_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\r\n self.cable_loss_reception_mp_perf_3.setGeometry(QtCore.QRect(510, 150, 101, 22))\r\n self.cable_loss_reception_mp_perf_3.setObjectName(\"cable_loss_reception_mp_perf_3\")\r\n self.label_261 = QtWidgets.QLabel(self.groupBox_33)\r\n self.label_261.setGeometry(QtCore.QRect(330, 133, 171, 51))\r\n self.label_261.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_261.setObjectName(\"label_261\")\r\n self.output_sp_perf_5 = QtWidgets.QTextEdit(self.list_perf_calc_page_3)\r\n self.output_sp_perf_5.setGeometry(QtCore.QRect(10, 684, 801, 141))\r\n self.output_sp_perf_5.setObjectName(\"output_sp_perf_5\")\r\n self.relaxation_mp_perf_3 = QtWidgets.QLineEdit(self.list_perf_calc_page_3)\r\n self.relaxation_mp_perf_3.setGeometry(QtCore.QRect(170, 832, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_mp_perf_3.setFont(font)\r\n self.relaxation_mp_perf_3.setToolTip(\"\")\r\n self.relaxation_mp_perf_3.setObjectName(\"relaxation_mp_perf_3\")\r\n self.calc_mp_perf_3 = QtWidgets.QPushButton(self.list_perf_calc_page_3)\r\n self.calc_mp_perf_3.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_mp_perf_3.setFont(font)\r\n self.calc_mp_perf_3.setObjectName(\"calc_mp_perf_3\")\r\n self.label_262 = QtWidgets.QLabel(self.list_perf_calc_page_3)\r\n self.label_262.setGeometry(QtCore.QRect(10, 833, 151, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_262.setFont(font)\r\n self.label_262.setObjectName(\"label_262\")\r\n self.label_263 = QtWidgets.QLabel(self.list_perf_calc_page_3)\r\n self.label_263.setGeometry(QtCore.QRect(420, 831, 61, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_263.setFont(font)\r\n self.label_263.setObjectName(\"label_263\")\r\n self.n_threads_3 = QtWidgets.QComboBox(self.list_perf_calc_page_3)\r\n self.n_threads_3.setGeometry(QtCore.QRect(490, 831, 73, 22))\r\n self.n_threads_3.setObjectName(\"n_threads_3\")\r\n self.path_mp_perf_3 = QtWidgets.QLineEdit(self.list_perf_calc_page_3)\r\n self.path_mp_perf_3.setGeometry(QtCore.QRect(55, 10, 631, 22))\r\n self.path_mp_perf_3.setObjectName(\"path_mp_perf_3\")\r\n self.label_264 = QtWidgets.QLabel(self.list_perf_calc_page_3)\r\n self.label_264.setGeometry(QtCore.QRect(240, 831, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_264.setFont(font)\r\n self.label_264.setObjectName(\"label_264\")\r\n self.margin_mp_perf_3 = QtWidgets.QLineEdit(self.list_perf_calc_page_3)\r\n self.margin_mp_perf_3.setGeometry(QtCore.QRect(340, 831, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_mp_perf_3.setFont(font)\r\n self.margin_mp_perf_3.setToolTip(\"\")\r\n self.margin_mp_perf_3.setObjectName(\"margin_mp_perf_3\")\r\n self.stackedWidget_4.addWidget(self.list_perf_calc_page_3)\r\n self.stackedWidget_3.addWidget(self.ant_size_single_point_calc_page_3)\r\n self.page_2 = QtWidgets.QWidget()\r\n self.page_2.setObjectName(\"page_2\")\r\n self.stackedWidget_3.addWidget(self.page_2)\r\n self.list_ant_size_calc_page_4 = QtWidgets.QWidget()\r\n self.list_ant_size_calc_page_4.setObjectName(\"list_ant_size_calc_page_4\")\r\n self.stackedWidget_3.addWidget(self.list_ant_size_calc_page_4)\r\n self.single_point_atm_calc_page_4 = QtWidgets.QWidget()\r\n self.single_point_atm_calc_page_4.setObjectName(\"single_point_atm_calc_page_4\")\r\n self.groupBox_34 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_4)\r\n self.groupBox_34.setGeometry(QtCore.QRect(20, 20, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_34.setFont(font)\r\n self.groupBox_34.setObjectName(\"groupBox_34\")\r\n self.lat_ground_station_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\r\n self.lat_ground_station_spatm_4.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.lat_ground_station_spatm_4.setObjectName(\"lat_ground_station_spatm_4\")\r\n self.long_ground_station_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\r\n self.long_ground_station_spatm_4.setGeometry(QtCore.QRect(500, 30, 101, 22))\r\n self.long_ground_station_spatm_4.setObjectName(\"long_ground_station_spatm_4\")\r\n self.label_265 = QtWidgets.QLabel(self.groupBox_34)\r\n self.label_265.setGeometry(QtCore.QRect(20, 23, 151, 31))\r\n self.label_265.setObjectName(\"label_265\")\r\n self.label_266 = QtWidgets.QLabel(self.groupBox_34)\r\n self.label_266.setGeometry(QtCore.QRect(319, 28, 161, 21))\r\n self.label_266.setObjectName(\"label_266\")\r\n self.label_267 = QtWidgets.QLabel(self.groupBox_34)\r\n self.label_267.setGeometry(QtCore.QRect(20, 60, 161, 21))\r\n self.label_267.setObjectName(\"label_267\")\r\n self.ant_size_reception_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\r\n self.ant_size_reception_spatm_4.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.ant_size_reception_spatm_4.setObjectName(\"ant_size_reception_spatm_4\")\r\n self.ant_eff_reception_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\r\n self.ant_eff_reception_spatm_4.setGeometry(QtCore.QRect(500, 60, 101, 22))\r\n self.ant_eff_reception_spatm_4.setObjectName(\"ant_eff_reception_spatm_4\")\r\n self.label_268 = QtWidgets.QLabel(self.groupBox_34)\r\n self.label_268.setGeometry(QtCore.QRect(320, 60, 141, 16))\r\n self.label_268.setObjectName(\"label_268\")\r\n self.clear_reception_rcp_8 = QtWidgets.QPushButton(self.groupBox_34)\r\n self.clear_reception_rcp_8.setGeometry(QtCore.QRect(660, 30, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_rcp_8.setFont(font)\r\n self.clear_reception_rcp_8.setObjectName(\"clear_reception_rcp_8\")\r\n self.load_reception_rcp_14 = QtWidgets.QPushButton(self.groupBox_34)\r\n self.load_reception_rcp_14.setGeometry(QtCore.QRect(15, 91, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_14.setFont(font)\r\n self.load_reception_rcp_14.setObjectName(\"load_reception_rcp_14\")\r\n self.load_reception_rcp_15 = QtWidgets.QPushButton(self.groupBox_34)\r\n self.load_reception_rcp_15.setGeometry(QtCore.QRect(230, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_15.setFont(font)\r\n self.load_reception_rcp_15.setObjectName(\"load_reception_rcp_15\")\r\n self.calc_spatm_4 = QtWidgets.QPushButton(self.single_point_atm_calc_page_4)\r\n self.calc_spatm_4.setGeometry(QtCore.QRect(666, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_spatm_4.setFont(font)\r\n self.calc_spatm_4.setObjectName(\"calc_spatm_4\")\r\n self.textEdit_5 = QtWidgets.QTextEdit(self.single_point_atm_calc_page_4)\r\n self.textEdit_5.setGeometry(QtCore.QRect(6, 650, 801, 171))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.textEdit_5.setFont(font)\r\n self.textEdit_5.setObjectName(\"textEdit_5\")\r\n self.groupBox_35 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_4)\r\n self.groupBox_35.setGeometry(QtCore.QRect(20, 150, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_35.setFont(font)\r\n self.groupBox_35.setObjectName(\"groupBox_35\")\r\n self.label_269 = QtWidgets.QLabel(self.groupBox_35)\r\n self.label_269.setGeometry(QtCore.QRect(20, 60, 131, 16))\r\n self.label_269.setObjectName(\"label_269\")\r\n self.label_270 = QtWidgets.QLabel(self.groupBox_35)\r\n self.label_270.setGeometry(QtCore.QRect(20, 30, 161, 21))\r\n self.label_270.setObjectName(\"label_270\")\r\n self.long_sat_spatm_4 = QtWidgets.QLineEdit(self.groupBox_35)\r\n self.long_sat_spatm_4.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.long_sat_spatm_4.setObjectName(\"long_sat_spatm_4\")\r\n self.freq_sat_spatm_4 = QtWidgets.QLineEdit(self.groupBox_35)\r\n self.freq_sat_spatm_4.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.freq_sat_spatm_4.setObjectName(\"freq_sat_spatm_4\")\r\n self.default_sat_sp_perf_7 = QtWidgets.QComboBox(self.groupBox_35)\r\n self.default_sat_sp_perf_7.setGeometry(QtCore.QRect(634, 44, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_perf_7.setFont(font)\r\n self.default_sat_sp_perf_7.setObjectName(\"default_sat_sp_perf_7\")\r\n self.label_271 = QtWidgets.QLabel(self.groupBox_35)\r\n self.label_271.setGeometry(QtCore.QRect(636, 14, 131, 16))\r\n self.label_271.setObjectName(\"label_271\")\r\n self.pol_sat_8 = QtWidgets.QComboBox(self.groupBox_35)\r\n self.pol_sat_8.setGeometry(QtCore.QRect(450, 30, 101, 22))\r\n self.pol_sat_8.setObjectName(\"pol_sat_8\")\r\n self.pol_sat_8.addItem(\"\")\r\n self.pol_sat_8.addItem(\"\")\r\n self.pol_sat_8.addItem(\"\")\r\n self.label_272 = QtWidgets.QLabel(self.groupBox_35)\r\n self.label_272.setGeometry(QtCore.QRect(350, 30, 91, 20))\r\n self.label_272.setObjectName(\"label_272\")\r\n self.load_reception_rcp_16 = QtWidgets.QPushButton(self.groupBox_35)\r\n self.load_reception_rcp_16.setGeometry(QtCore.QRect(10, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_rcp_16.setFont(font)\r\n self.load_reception_rcp_16.setObjectName(\"load_reception_rcp_16\")\r\n self.p_year_spatm_4 = QtWidgets.QLineEdit(self.single_point_atm_calc_page_4)\r\n self.p_year_spatm_4.setGeometry(QtCore.QRect(550, 834, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.p_year_spatm_4.setFont(font)\r\n self.p_year_spatm_4.setToolTip(\"\")\r\n self.p_year_spatm_4.setObjectName(\"p_year_spatm_4\")\r\n self.label_273 = QtWidgets.QLabel(self.single_point_atm_calc_page_4)\r\n self.label_273.setGeometry(QtCore.QRect(340, 834, 201, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_273.setFont(font)\r\n self.label_273.setObjectName(\"label_273\")\r\n self.label_274 = QtWidgets.QLabel(self.single_point_atm_calc_page_4)\r\n self.label_274.setGeometry(QtCore.QRect(10, 837, 71, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_274.setFont(font)\r\n self.label_274.setObjectName(\"label_274\")\r\n self.method_spatm_4 = QtWidgets.QComboBox(self.single_point_atm_calc_page_4)\r\n self.method_spatm_4.setGeometry(QtCore.QRect(84, 835, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.method_spatm_4.setFont(font)\r\n self.method_spatm_4.setObjectName(\"method_spatm_4\")\r\n self.method_spatm_4.addItem(\"\")\r\n self.method_spatm_4.addItem(\"\")\r\n self.stackedWidget_3.addWidget(self.single_point_atm_calc_page_4)\r\n self.single_point_perf_calc_page_4 = QtWidgets.QWidget()\r\n self.single_point_perf_calc_page_4.setObjectName(\"single_point_perf_calc_page_4\")\r\n self.groupBox_36 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_4)\r\n self.groupBox_36.setGeometry(QtCore.QRect(10, 10, 801, 121))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_36.setFont(font)\r\n self.groupBox_36.setAutoFillBackground(False)\r\n self.groupBox_36.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_36.setObjectName(\"groupBox_36\")\r\n self.label_275 = QtWidgets.QLabel(self.groupBox_36)\r\n self.label_275.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_275.setObjectName(\"label_275\")\r\n self.label_276 = QtWidgets.QLabel(self.groupBox_36)\r\n self.label_276.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_276.setObjectName(\"label_276\")\r\n self.label_277 = QtWidgets.QLabel(self.groupBox_36)\r\n self.label_277.setGeometry(QtCore.QRect(330, 78, 161, 21))\r\n self.label_277.setObjectName(\"label_277\")\r\n self.name_ground_station_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_36)\r\n self.name_ground_station_sp_perf_4.setGeometry(QtCore.QRect(100, 36, 511, 22))\r\n self.name_ground_station_sp_perf_4.setObjectName(\"name_ground_station_sp_perf_4\")\r\n self.long_ground_station_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_36)\r\n self.long_ground_station_sp_perf_4.setGeometry(QtCore.QRect(510, 80, 101, 22))\r\n self.long_ground_station_sp_perf_4.setObjectName(\"long_ground_station_sp_perf_4\")\r\n self.lat_ground_station_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_36)\r\n self.lat_ground_station_sp_perf_4.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_sp_perf_4.setObjectName(\"lat_ground_station_sp_perf_4\")\r\n self.save_ground_station_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_36)\r\n self.save_ground_station_sp_perf_4.setGeometry(QtCore.QRect(652, 80, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_sp_perf_4.setFont(font)\r\n self.save_ground_station_sp_perf_4.setObjectName(\"save_ground_station_sp_perf_4\")\r\n self.load_ground_station_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_36)\r\n self.load_ground_station_sp_perf_4.setGeometry(QtCore.QRect(652, 48, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_sp_perf_4.setFont(font)\r\n self.load_ground_station_sp_perf_4.setObjectName(\"load_ground_station_sp_perf_4\")\r\n self.clear_ground_station_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_36)\r\n self.clear_ground_station_sp_perf_4.setGeometry(QtCore.QRect(652, 16, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_sp_perf_4.setFont(font)\r\n self.clear_ground_station_sp_perf_4.setObjectName(\"clear_ground_station_sp_perf_4\")\r\n self.groupBox_37 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_4)\r\n self.groupBox_37.setGeometry(QtCore.QRect(10, 129, 801, 271))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_37.setFont(font)\r\n self.groupBox_37.setAutoFillBackground(False)\r\n self.groupBox_37.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_37.setObjectName(\"groupBox_37\")\r\n self.label_278 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_278.setGeometry(QtCore.QRect(20, 29, 55, 16))\r\n self.label_278.setObjectName(\"label_278\")\r\n self.label_279 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_279.setGeometry(QtCore.QRect(20, 71, 161, 21))\r\n self.label_279.setObjectName(\"label_279\")\r\n self.name_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.name_sat_sp_perf_4.setGeometry(QtCore.QRect(100, 29, 511, 22))\r\n self.name_sat_sp_perf_4.setObjectName(\"name_sat_sp_perf_4\")\r\n self.long_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.long_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 71, 101, 22))\r\n self.long_sat_sp_perf_4.setObjectName(\"long_sat_sp_perf_4\")\r\n self.save_sat_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_37)\r\n self.save_sat_sp_perf_4.setGeometry(QtCore.QRect(653, 231, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_sp_perf_4.setFont(font)\r\n self.save_sat_sp_perf_4.setObjectName(\"save_sat_sp_perf_4\")\r\n self.load_sat_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_37)\r\n self.load_sat_sp_perf_4.setGeometry(QtCore.QRect(653, 199, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_sp_perf_4.setFont(font)\r\n self.load_sat_sp_perf_4.setObjectName(\"load_sat_sp_perf_4\")\r\n self.default_sat_sp_perf_8 = QtWidgets.QComboBox(self.groupBox_37)\r\n self.default_sat_sp_perf_8.setGeometry(QtCore.QRect(650, 61, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_perf_8.setFont(font)\r\n self.default_sat_sp_perf_8.setObjectName(\"default_sat_sp_perf_8\")\r\n self.label_280 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_280.setGeometry(QtCore.QRect(648, 31, 131, 16))\r\n self.label_280.setObjectName(\"label_280\")\r\n self.label_281 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_281.setGeometry(QtCore.QRect(330, 69, 111, 16))\r\n self.label_281.setObjectName(\"label_281\")\r\n self.height_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.height_sat_sp_perf_4.setGeometry(QtCore.QRect(510, 69, 101, 22))\r\n self.height_sat_sp_perf_4.setObjectName(\"height_sat_sp_perf_4\")\r\n self.label_282 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_282.setGeometry(QtCore.QRect(330, 110, 121, 16))\r\n self.label_282.setObjectName(\"label_282\")\r\n self.eirp_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.eirp_sat_sp_perf_4.setGeometry(QtCore.QRect(510, 106, 101, 22))\r\n self.eirp_sat_sp_perf_4.setObjectName(\"eirp_sat_sp_perf_4\")\r\n self.label_283 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_283.setGeometry(QtCore.QRect(20, 139, 171, 51))\r\n self.label_283.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_283.setObjectName(\"label_283\")\r\n self.max_bw_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.max_bw_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 149, 101, 22))\r\n self.max_bw_sat_sp_perf_4.setObjectName(\"max_bw_sat_sp_perf_4\")\r\n self.label_284 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_284.setGeometry(QtCore.QRect(330, 134, 171, 51))\r\n self.label_284.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_284.setObjectName(\"label_284\")\r\n self.bw_util_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.bw_util_sat_sp_perf_4.setGeometry(QtCore.QRect(510, 147, 101, 22))\r\n self.bw_util_sat_sp_perf_4.setObjectName(\"bw_util_sat_sp_perf_4\")\r\n self.label_285 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_285.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_285.setObjectName(\"label_285\")\r\n self.rolloff_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.rolloff_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.rolloff_sat_sp_perf_4.setObjectName(\"rolloff_sat_sp_perf_4\")\r\n self.label_286 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_286.setGeometry(QtCore.QRect(330, 192, 91, 16))\r\n self.label_286.setObjectName(\"label_286\")\r\n self.modcod_sat_sp_perf_4 = QtWidgets.QComboBox(self.groupBox_37)\r\n self.modcod_sat_sp_perf_4.setGeometry(QtCore.QRect(450, 190, 161, 22))\r\n self.modcod_sat_sp_perf_4.setObjectName(\"modcod_sat_sp_perf_4\")\r\n self.modcod_sat_sp_perf_4.addItem(\"\")\r\n self.modcod_sat_sp_perf_4.addItem(\"\")\r\n self.modcod_sat_sp_perf_4.addItem(\"\")\r\n self.label_287 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_287.setGeometry(QtCore.QRect(20, 111, 131, 20))\r\n self.label_287.setObjectName(\"label_287\")\r\n self.freq_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\r\n self.freq_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.freq_sat_sp_perf_4.setObjectName(\"freq_sat_sp_perf_4\")\r\n self.label_288 = QtWidgets.QLabel(self.groupBox_37)\r\n self.label_288.setGeometry(QtCore.QRect(665, 97, 91, 20))\r\n self.label_288.setObjectName(\"label_288\")\r\n self.pol_sat_sp_perf_4 = QtWidgets.QComboBox(self.groupBox_37)\r\n self.pol_sat_sp_perf_4.setGeometry(QtCore.QRect(660, 121, 101, 22))\r\n self.pol_sat_sp_perf_4.setObjectName(\"pol_sat_sp_perf_4\")\r\n self.pol_sat_sp_perf_4.addItem(\"\")\r\n self.pol_sat_sp_perf_4.addItem(\"\")\r\n self.pol_sat_sp_perf_4.addItem(\"\")\r\n self.clear_sat_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_37)\r\n self.clear_sat_sp_perf_4.setGeometry(QtCore.QRect(653, 169, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_sp_perf_4.setFont(font)\r\n self.clear_sat_sp_perf_4.setObjectName(\"clear_sat_sp_perf_4\")\r\n self.groupBox_38 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_4)\r\n self.groupBox_38.setGeometry(QtCore.QRect(10, 400, 801, 231))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_38.setFont(font)\r\n self.groupBox_38.setAutoFillBackground(False)\r\n self.groupBox_38.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_38.setObjectName(\"groupBox_38\")\r\n self.label_289 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_289.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_289.setObjectName(\"label_289\")\r\n self.label_290 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_290.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_290.setObjectName(\"label_290\")\r\n self.label_291 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_291.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_291.setObjectName(\"label_291\")\r\n self.name_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.name_reception_sp_perf_4.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_sp_perf_4.setObjectName(\"name_reception_sp_perf_4\")\r\n self.lnb_gain_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.lnb_gain_reception_sp_perf_4.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_sp_perf_4.setObjectName(\"lnb_gain_reception_sp_perf_4\")\r\n self.ant_size_reception_sp_perf_2 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.ant_size_reception_sp_perf_2.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_sp_perf_2.setObjectName(\"ant_size_reception_sp_perf_2\")\r\n self.save_reception_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_38)\r\n self.save_reception_sp_perf_4.setGeometry(QtCore.QRect(654, 189, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_sp_perf_4.setFont(font)\r\n self.save_reception_sp_perf_4.setObjectName(\"save_reception_sp_perf_4\")\r\n self.load_reception_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_38)\r\n self.load_reception_sp_perf_4.setGeometry(QtCore.QRect(654, 155, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_sp_perf_4.setFont(font)\r\n self.load_reception_sp_perf_4.setObjectName(\"load_reception_sp_perf_4\")\r\n self.label_292 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_292.setGeometry(QtCore.QRect(330, 78, 141, 16))\r\n self.label_292.setObjectName(\"label_292\")\r\n self.ant_eff_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.ant_eff_reception_sp_perf_4.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_sp_perf_4.setObjectName(\"ant_eff_reception_sp_perf_4\")\r\n self.label_293 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_293.setGeometry(QtCore.QRect(330, 118, 161, 16))\r\n self.label_293.setObjectName(\"label_293\")\r\n self.lnb_temp_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.lnb_temp_reception_sp_perf_4.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_sp_perf_4.setObjectName(\"lnb_temp_reception_sp_perf_4\")\r\n self.label_294 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_294.setGeometry(QtCore.QRect(17, 139, 171, 51))\r\n self.label_294.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_294.setObjectName(\"label_294\")\r\n self.aditional_losses_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.aditional_losses_reception_sp_perf_4.setGeometry(QtCore.QRect(200, 153, 101, 22))\r\n self.aditional_losses_reception_sp_perf_4.setObjectName(\"aditional_losses_reception_sp_perf_4\")\r\n self.label_295 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_295.setGeometry(QtCore.QRect(19, 179, 171, 51))\r\n self.label_295.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_295.setObjectName(\"label_295\")\r\n self.max_depoint_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.max_depoint_reception_sp_perf_4.setGeometry(QtCore.QRect(200, 192, 101, 22))\r\n self.max_depoint_reception_sp_perf_4.setObjectName(\"max_depoint_reception_sp_perf_4\")\r\n self.clear_reception_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_38)\r\n self.clear_reception_sp_perf_4.setGeometry(QtCore.QRect(654, 123, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_sp_perf_4.setFont(font)\r\n self.clear_reception_sp_perf_4.setObjectName(\"clear_reception_sp_perf_4\")\r\n self.cable_loss_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\r\n self.cable_loss_reception_sp_perf_4.setGeometry(QtCore.QRect(509, 154, 101, 22))\r\n self.cable_loss_reception_sp_perf_4.setObjectName(\"cable_loss_reception_sp_perf_4\")\r\n self.label_296 = QtWidgets.QLabel(self.groupBox_38)\r\n self.label_296.setGeometry(QtCore.QRect(330, 140, 171, 51))\r\n self.label_296.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_296.setObjectName(\"label_296\")\r\n self.calc_sp_perf_4 = QtWidgets.QPushButton(self.single_point_perf_calc_page_4)\r\n self.calc_sp_perf_4.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_sp_perf_4.setFont(font)\r\n self.calc_sp_perf_4.setObjectName(\"calc_sp_perf_4\")\r\n self.output_sp_perf_3 = QtWidgets.QTextEdit(self.single_point_perf_calc_page_4)\r\n self.output_sp_perf_3.setGeometry(QtCore.QRect(10, 638, 801, 181))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.output_sp_perf_3.setFont(font)\r\n self.output_sp_perf_3.setObjectName(\"output_sp_perf_3\")\r\n self.label_297 = QtWidgets.QLabel(self.single_point_perf_calc_page_4)\r\n self.label_297.setGeometry(QtCore.QRect(10, 830, 151, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_297.setFont(font)\r\n self.label_297.setObjectName(\"label_297\")\r\n self.relaxation_sp_perf_4 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_4)\r\n self.relaxation_sp_perf_4.setGeometry(QtCore.QRect(170, 830, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_sp_perf_4.setFont(font)\r\n self.relaxation_sp_perf_4.setToolTip(\"\")\r\n self.relaxation_sp_perf_4.setObjectName(\"relaxation_sp_perf_4\")\r\n self.margin_sp_perf_4 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_4)\r\n self.margin_sp_perf_4.setGeometry(QtCore.QRect(340, 830, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_sp_perf_4.setFont(font)\r\n self.margin_sp_perf_4.setToolTip(\"\")\r\n self.margin_sp_perf_4.setObjectName(\"margin_sp_perf_4\")\r\n self.label_298 = QtWidgets.QLabel(self.single_point_perf_calc_page_4)\r\n self.label_298.setGeometry(QtCore.QRect(240, 830, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_298.setFont(font)\r\n self.label_298.setObjectName(\"label_298\")\r\n self.stackedWidget_3.addWidget(self.single_point_perf_calc_page_4)\r\n self.list_perf_calc_page_4 = QtWidgets.QWidget()\r\n self.list_perf_calc_page_4.setObjectName(\"list_perf_calc_page_4\")\r\n self.browse_mp_ant_size = QtWidgets.QPushButton(self.list_perf_calc_page_4)\r\n self.browse_mp_ant_size.setGeometry(QtCore.QRect(700, 11, 93, 21))\r\n self.browse_mp_ant_size.setObjectName(\"browse_mp_ant_size\")\r\n self.label_299 = QtWidgets.QLabel(self.list_perf_calc_page_4)\r\n self.label_299.setGeometry(QtCore.QRect(6, 13, 55, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_299.setFont(font)\r\n self.label_299.setObjectName(\"label_299\")\r\n self.preview_mp_ant_size = QtWidgets.QTableWidget(self.list_perf_calc_page_4)\r\n self.preview_mp_ant_size.setGeometry(QtCore.QRect(10, 61, 801, 131))\r\n self.preview_mp_ant_size.setObjectName(\"preview_mp_ant_size\")\r\n self.preview_mp_ant_size.setColumnCount(0)\r\n self.preview_mp_ant_size.setRowCount(0)\r\n self.label_300 = QtWidgets.QLabel(self.list_perf_calc_page_4)\r\n self.label_300.setGeometry(QtCore.QRect(10, 41, 91, 16))\r\n self.label_300.setObjectName(\"label_300\")\r\n self.groupBox_39 = QtWidgets.QGroupBox(self.list_perf_calc_page_4)\r\n self.groupBox_39.setGeometry(QtCore.QRect(8, 199, 801, 261))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_39.setFont(font)\r\n self.groupBox_39.setAutoFillBackground(False)\r\n self.groupBox_39.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_39.setObjectName(\"groupBox_39\")\r\n self.label_301 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_301.setGeometry(QtCore.QRect(20, 27, 55, 16))\r\n self.label_301.setObjectName(\"label_301\")\r\n self.label_302 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_302.setGeometry(QtCore.QRect(20, 69, 161, 21))\r\n self.label_302.setObjectName(\"label_302\")\r\n self.name_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.name_sat_mp_ant_size.setGeometry(QtCore.QRect(100, 27, 511, 22))\r\n self.name_sat_mp_ant_size.setObjectName(\"name_sat_mp_ant_size\")\r\n self.long_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.long_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 69, 101, 22))\r\n self.long_sat_mp_ant_size.setObjectName(\"long_sat_mp_ant_size\")\r\n self.save_sat_mp_ant_size = QtWidgets.QPushButton(self.groupBox_39)\r\n self.save_sat_mp_ant_size.setGeometry(QtCore.QRect(659, 222, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_mp_ant_size.setFont(font)\r\n self.save_sat_mp_ant_size.setObjectName(\"save_sat_mp_ant_size\")\r\n self.load_sat_mp_ant_size = QtWidgets.QPushButton(self.groupBox_39)\r\n self.load_sat_mp_ant_size.setGeometry(QtCore.QRect(659, 190, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_mp_ant_size.setFont(font)\r\n self.load_sat_mp_ant_size.setObjectName(\"load_sat_mp_ant_size\")\r\n self.default_sat_mp_ant_size = QtWidgets.QComboBox(self.groupBox_39)\r\n self.default_sat_mp_ant_size.setGeometry(QtCore.QRect(650, 58, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_mp_ant_size.setFont(font)\r\n self.default_sat_mp_ant_size.setObjectName(\"default_sat_mp_ant_size\")\r\n self.label_303 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_303.setGeometry(QtCore.QRect(651, 29, 131, 16))\r\n self.label_303.setObjectName(\"label_303\")\r\n self.label_304 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_304.setGeometry(QtCore.QRect(330, 70, 111, 16))\r\n self.label_304.setObjectName(\"label_304\")\r\n self.height_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.height_sat_mp_ant_size.setGeometry(QtCore.QRect(510, 67, 101, 22))\r\n self.height_sat_mp_ant_size.setObjectName(\"height_sat_mp_ant_size\")\r\n self.label_305 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_305.setGeometry(QtCore.QRect(330, 108, 121, 16))\r\n self.label_305.setObjectName(\"label_305\")\r\n self.eirp_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.eirp_sat_mp_ant_size.setGeometry(QtCore.QRect(510, 104, 101, 22))\r\n self.eirp_sat_mp_ant_size.setObjectName(\"eirp_sat_mp_ant_size\")\r\n self.label_306 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_306.setGeometry(QtCore.QRect(20, 137, 171, 51))\r\n self.label_306.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_306.setObjectName(\"label_306\")\r\n self.max_bw_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.max_bw_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 147, 101, 22))\r\n self.max_bw_sat_mp_ant_size.setObjectName(\"max_bw_sat_mp_ant_size\")\r\n self.label_307 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_307.setGeometry(QtCore.QRect(330, 132, 171, 51))\r\n self.label_307.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_307.setObjectName(\"label_307\")\r\n self.bw_util_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.bw_util_sat_mp_ant_size.setGeometry(QtCore.QRect(510, 145, 101, 22))\r\n self.bw_util_sat_mp_ant_size.setObjectName(\"bw_util_sat_mp_ant_size\")\r\n self.label_308 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_308.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_308.setObjectName(\"label_308\")\r\n self.rolloff_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.rolloff_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 191, 101, 22))\r\n self.rolloff_sat_mp_ant_size.setObjectName(\"rolloff_sat_mp_ant_size\")\r\n self.label_309 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_309.setGeometry(QtCore.QRect(330, 191, 91, 16))\r\n self.label_309.setObjectName(\"label_309\")\r\n self.modcod_sat_mp_ant_size = QtWidgets.QComboBox(self.groupBox_39)\r\n self.modcod_sat_mp_ant_size.setGeometry(QtCore.QRect(450, 191, 161, 22))\r\n self.modcod_sat_mp_ant_size.setObjectName(\"modcod_sat_mp_ant_size\")\r\n self.label_310 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_310.setGeometry(QtCore.QRect(20, 109, 131, 20))\r\n self.label_310.setObjectName(\"label_310\")\r\n self.freq_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\r\n self.freq_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 109, 101, 22))\r\n self.freq_sat_mp_ant_size.setObjectName(\"freq_sat_mp_ant_size\")\r\n self.label_311 = QtWidgets.QLabel(self.groupBox_39)\r\n self.label_311.setGeometry(QtCore.QRect(666, 89, 91, 20))\r\n self.label_311.setObjectName(\"label_311\")\r\n self.pol_sat_mp_ant_size = QtWidgets.QComboBox(self.groupBox_39)\r\n self.pol_sat_mp_ant_size.setGeometry(QtCore.QRect(663, 119, 101, 22))\r\n self.pol_sat_mp_ant_size.setObjectName(\"pol_sat_mp_ant_size\")\r\n self.pol_sat_mp_ant_size.addItem(\"\")\r\n self.pol_sat_mp_ant_size.addItem(\"\")\r\n self.pol_sat_mp_ant_size.addItem(\"\")\r\n self.clear_sat_mp_ant_size = QtWidgets.QPushButton(self.groupBox_39)\r\n self.clear_sat_mp_ant_size.setGeometry(QtCore.QRect(659, 156, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_mp_ant_size.setFont(font)\r\n self.clear_sat_mp_ant_size.setObjectName(\"clear_sat_mp_ant_size\")\r\n self.groupBox_40 = QtWidgets.QGroupBox(self.list_perf_calc_page_4)\r\n self.groupBox_40.setGeometry(QtCore.QRect(10, 458, 801, 181))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_40.setFont(font)\r\n self.groupBox_40.setAutoFillBackground(False)\r\n self.groupBox_40.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_40.setObjectName(\"groupBox_40\")\r\n self.label_312 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_312.setGeometry(QtCore.QRect(20, 29, 55, 16))\r\n self.label_312.setObjectName(\"label_312\")\r\n self.label_314 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_314.setGeometry(QtCore.QRect(20, 61, 161, 21))\r\n self.label_314.setObjectName(\"label_314\")\r\n self.name_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.name_reception_mp_ant_size.setGeometry(QtCore.QRect(100, 29, 511, 22))\r\n self.name_reception_mp_ant_size.setObjectName(\"name_reception_mp_ant_size\")\r\n self.lnb_gain_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.lnb_gain_reception_mp_ant_size.setGeometry(QtCore.QRect(200, 61, 101, 22))\r\n self.lnb_gain_reception_mp_ant_size.setObjectName(\"lnb_gain_reception_mp_ant_size\")\r\n self.save_reception_mp_ant_size = QtWidgets.QPushButton(self.groupBox_40)\r\n self.save_reception_mp_ant_size.setGeometry(QtCore.QRect(661, 131, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_mp_ant_size.setFont(font)\r\n self.save_reception_mp_ant_size.setObjectName(\"save_reception_mp_ant_size\")\r\n self.load_reception_mp_ant_size = QtWidgets.QPushButton(self.groupBox_40)\r\n self.load_reception_mp_ant_size.setGeometry(QtCore.QRect(661, 96, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_mp_ant_size.setFont(font)\r\n self.load_reception_mp_ant_size.setObjectName(\"load_reception_mp_ant_size\")\r\n self.label_315 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_315.setGeometry(QtCore.QRect(330, 138, 141, 16))\r\n self.label_315.setObjectName(\"label_315\")\r\n self.ant_eff_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.ant_eff_reception_mp_ant_size.setGeometry(QtCore.QRect(510, 136, 101, 22))\r\n self.ant_eff_reception_mp_ant_size.setObjectName(\"ant_eff_reception_mp_ant_size\")\r\n self.label_316 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_316.setGeometry(QtCore.QRect(330, 66, 161, 16))\r\n self.label_316.setScaledContents(False)\r\n self.label_316.setObjectName(\"label_316\")\r\n self.lnb_temp_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.lnb_temp_reception_mp_ant_size.setGeometry(QtCore.QRect(510, 63, 101, 22))\r\n self.lnb_temp_reception_mp_ant_size.setObjectName(\"lnb_temp_reception_mp_ant_size\")\r\n self.label_317 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_317.setGeometry(QtCore.QRect(20, 80, 171, 51))\r\n self.label_317.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_317.setObjectName(\"label_317\")\r\n self.aditional_losses_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.aditional_losses_reception_mp_ant_size.setGeometry(QtCore.QRect(200, 95, 101, 22))\r\n self.aditional_losses_reception_mp_ant_size.setObjectName(\"aditional_losses_reception_mp_ant_size\")\r\n self.label_318 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_318.setGeometry(QtCore.QRect(20, 118, 171, 51))\r\n self.label_318.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_318.setObjectName(\"label_318\")\r\n self.max_depoint_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.max_depoint_reception_mp_ant_size.setGeometry(QtCore.QRect(200, 138, 101, 22))\r\n self.max_depoint_reception_mp_ant_size.setObjectName(\"max_depoint_reception_mp_ant_size\")\r\n self.clear_reception_mp_ant_size = QtWidgets.QPushButton(self.groupBox_40)\r\n self.clear_reception_mp_ant_size.setGeometry(QtCore.QRect(661, 60, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_mp_ant_size.setFont(font)\r\n self.clear_reception_mp_ant_size.setObjectName(\"clear_reception_mp_ant_size\")\r\n self.cable_loss_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\r\n self.cable_loss_reception_mp_ant_size.setGeometry(QtCore.QRect(510, 95, 101, 22))\r\n self.cable_loss_reception_mp_ant_size.setObjectName(\"cable_loss_reception_mp_ant_size\")\r\n self.label_319 = QtWidgets.QLabel(self.groupBox_40)\r\n self.label_319.setGeometry(QtCore.QRect(330, 81, 171, 51))\r\n self.label_319.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_319.setObjectName(\"label_319\")\r\n self.output_mp_ant_size = QtWidgets.QTextEdit(self.list_perf_calc_page_4)\r\n self.output_mp_ant_size.setGeometry(QtCore.QRect(10, 674, 801, 151))\r\n self.output_mp_ant_size.setObjectName(\"output_mp_ant_size\")\r\n self.relaxation_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\r\n self.relaxation_mp_ant_size.setGeometry(QtCore.QRect(177, 832, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_mp_ant_size.setFont(font)\r\n self.relaxation_mp_ant_size.setToolTip(\"\")\r\n self.relaxation_mp_ant_size.setObjectName(\"relaxation_mp_ant_size\")\r\n self.calc_mp_ant_size = QtWidgets.QPushButton(self.list_perf_calc_page_4)\r\n self.calc_mp_ant_size.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_mp_ant_size.setFont(font)\r\n self.calc_mp_ant_size.setObjectName(\"calc_mp_ant_size\")\r\n self.label_320 = QtWidgets.QLabel(self.list_perf_calc_page_4)\r\n self.label_320.setGeometry(QtCore.QRect(10, 833, 161, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_320.setFont(font)\r\n self.label_320.setObjectName(\"label_320\")\r\n self.label_321 = QtWidgets.QLabel(self.list_perf_calc_page_4)\r\n self.label_321.setGeometry(QtCore.QRect(420, 831, 61, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_321.setFont(font)\r\n self.label_321.setObjectName(\"label_321\")\r\n self.n_threads_mp_ant_size = QtWidgets.QComboBox(self.list_perf_calc_page_4)\r\n self.n_threads_mp_ant_size.setGeometry(QtCore.QRect(490, 831, 73, 22))\r\n self.n_threads_mp_ant_size.setObjectName(\"n_threads_mp_ant_size\")\r\n self.path_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\r\n self.path_mp_ant_size.setGeometry(QtCore.QRect(55, 10, 631, 22))\r\n self.path_mp_ant_size.setObjectName(\"path_mp_ant_size\")\r\n self.label_322 = QtWidgets.QLabel(self.list_perf_calc_page_4)\r\n self.label_322.setGeometry(QtCore.QRect(246, 832, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_322.setFont(font)\r\n self.label_322.setObjectName(\"label_322\")\r\n self.margin_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\r\n self.margin_mp_ant_size.setGeometry(QtCore.QRect(346, 832, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_mp_ant_size.setFont(font)\r\n self.margin_mp_ant_size.setToolTip(\"\")\r\n self.margin_mp_ant_size.setObjectName(\"margin_mp_ant_size\")\r\n self.label_324 = QtWidgets.QLabel(self.list_perf_calc_page_4)\r\n self.label_324.setGeometry(QtCore.QRect(15, 644, 141, 21))\r\n self.label_324.setObjectName(\"label_324\")\r\n self.availability_target_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\r\n self.availability_target_mp_ant_size.setGeometry(QtCore.QRect(148, 643, 101, 22))\r\n self.availability_target_mp_ant_size.setObjectName(\"availability_target_mp_ant_size\")\r\n self.stackedWidget_3.addWidget(self.list_perf_calc_page_4)\r\n self.stackedWidget.addWidget(self.list_ant_size_calc)\r\n self.single_point_atm_calc_page = QtWidgets.QWidget()\r\n self.single_point_atm_calc_page.setObjectName(\"single_point_atm_calc_page\")\r\n self.groupBox_7 = QtWidgets.QGroupBox(self.single_point_atm_calc_page)\r\n self.groupBox_7.setGeometry(QtCore.QRect(20, 20, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_7.setFont(font)\r\n self.groupBox_7.setObjectName(\"groupBox_7\")\r\n self.lat_ground_station_spatm = QtWidgets.QLineEdit(self.groupBox_7)\r\n self.lat_ground_station_spatm.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.lat_ground_station_spatm.setObjectName(\"lat_ground_station_spatm\")\r\n self.long_ground_station_spatm = QtWidgets.QLineEdit(self.groupBox_7)\r\n self.long_ground_station_spatm.setGeometry(QtCore.QRect(500, 30, 101, 22))\r\n self.long_ground_station_spatm.setObjectName(\"long_ground_station_spatm\")\r\n self.label_51 = QtWidgets.QLabel(self.groupBox_7)\r\n self.label_51.setGeometry(QtCore.QRect(20, 23, 151, 31))\r\n self.label_51.setObjectName(\"label_51\")\r\n self.label_50 = QtWidgets.QLabel(self.groupBox_7)\r\n self.label_50.setGeometry(QtCore.QRect(319, 28, 161, 21))\r\n self.label_50.setObjectName(\"label_50\")\r\n self.label_53 = QtWidgets.QLabel(self.groupBox_7)\r\n self.label_53.setGeometry(QtCore.QRect(20, 60, 161, 21))\r\n self.label_53.setObjectName(\"label_53\")\r\n self.ant_size_reception_spatm = QtWidgets.QLineEdit(self.groupBox_7)\r\n self.ant_size_reception_spatm.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.ant_size_reception_spatm.setObjectName(\"ant_size_reception_spatm\")\r\n self.ant_eff_reception_spatm = QtWidgets.QLineEdit(self.groupBox_7)\r\n self.ant_eff_reception_spatm.setGeometry(QtCore.QRect(500, 60, 101, 22))\r\n self.ant_eff_reception_spatm.setObjectName(\"ant_eff_reception_spatm\")\r\n self.label_68 = QtWidgets.QLabel(self.groupBox_7)\r\n self.label_68.setGeometry(QtCore.QRect(320, 60, 141, 16))\r\n self.label_68.setObjectName(\"label_68\")\r\n self.clear_reception_spatm = QtWidgets.QPushButton(self.groupBox_7)\r\n self.clear_reception_spatm.setGeometry(QtCore.QRect(660, 30, 93, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_spatm.setFont(font)\r\n self.clear_reception_spatm.setObjectName(\"clear_reception_spatm\")\r\n self.load_ground_station_spatm = QtWidgets.QPushButton(self.groupBox_7)\r\n self.load_ground_station_spatm.setGeometry(QtCore.QRect(15, 91, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_spatm.setFont(font)\r\n self.load_ground_station_spatm.setObjectName(\"load_ground_station_spatm\")\r\n self.load_reception_spatm = QtWidgets.QPushButton(self.groupBox_7)\r\n self.load_reception_spatm.setGeometry(QtCore.QRect(230, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_spatm.setFont(font)\r\n self.load_reception_spatm.setObjectName(\"load_reception_spatm\")\r\n self.calc_spatm = QtWidgets.QPushButton(self.single_point_atm_calc_page)\r\n self.calc_spatm.setGeometry(QtCore.QRect(666, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_spatm.setFont(font)\r\n self.calc_spatm.setObjectName(\"calc_spatm\")\r\n self.output_spatm = QtWidgets.QTextEdit(self.single_point_atm_calc_page)\r\n self.output_spatm.setGeometry(QtCore.QRect(6, 650, 801, 171))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.output_spatm.setFont(font)\r\n self.output_spatm.setObjectName(\"output_spatm\")\r\n self.groupBox_8 = QtWidgets.QGroupBox(self.single_point_atm_calc_page)\r\n self.groupBox_8.setGeometry(QtCore.QRect(20, 150, 781, 131))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_8.setFont(font)\r\n self.groupBox_8.setObjectName(\"groupBox_8\")\r\n self.label_52 = QtWidgets.QLabel(self.groupBox_8)\r\n self.label_52.setGeometry(QtCore.QRect(20, 60, 131, 16))\r\n self.label_52.setObjectName(\"label_52\")\r\n self.label_57 = QtWidgets.QLabel(self.groupBox_8)\r\n self.label_57.setGeometry(QtCore.QRect(20, 30, 161, 21))\r\n self.label_57.setObjectName(\"label_57\")\r\n self.long_sat_spatm = QtWidgets.QLineEdit(self.groupBox_8)\r\n self.long_sat_spatm.setGeometry(QtCore.QRect(200, 30, 101, 22))\r\n self.long_sat_spatm.setObjectName(\"long_sat_spatm\")\r\n self.freq_sat_spatm = QtWidgets.QLineEdit(self.groupBox_8)\r\n self.freq_sat_spatm.setGeometry(QtCore.QRect(200, 60, 101, 22))\r\n self.freq_sat_spatm.setObjectName(\"freq_sat_spatm\")\r\n self.default_sat_spatm = QtWidgets.QComboBox(self.groupBox_8)\r\n self.default_sat_spatm.setGeometry(QtCore.QRect(634, 44, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_spatm.setFont(font)\r\n self.default_sat_spatm.setObjectName(\"default_sat_spatm\")\r\n self.label_63 = QtWidgets.QLabel(self.groupBox_8)\r\n self.label_63.setGeometry(QtCore.QRect(636, 14, 131, 16))\r\n self.label_63.setObjectName(\"label_63\")\r\n self.pol_sat_spatm = QtWidgets.QComboBox(self.groupBox_8)\r\n self.pol_sat_spatm.setGeometry(QtCore.QRect(450, 30, 101, 22))\r\n self.pol_sat_spatm.setObjectName(\"pol_sat_spatm\")\r\n self.pol_sat_spatm.addItem(\"\")\r\n self.pol_sat_spatm.addItem(\"\")\r\n self.pol_sat_spatm.addItem(\"\")\r\n self.label_8 = QtWidgets.QLabel(self.groupBox_8)\r\n self.label_8.setGeometry(QtCore.QRect(350, 30, 91, 20))\r\n self.label_8.setObjectName(\"label_8\")\r\n self.load_sat_spatm = QtWidgets.QPushButton(self.groupBox_8)\r\n self.load_sat_spatm.setGeometry(QtCore.QRect(10, 90, 201, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_spatm.setFont(font)\r\n self.load_sat_spatm.setObjectName(\"load_sat_spatm\")\r\n self.p_year_spatm = QtWidgets.QLineEdit(self.single_point_atm_calc_page)\r\n self.p_year_spatm.setGeometry(QtCore.QRect(550, 834, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.p_year_spatm.setFont(font)\r\n self.p_year_spatm.setToolTip(\"\")\r\n self.p_year_spatm.setObjectName(\"p_year_spatm\")\r\n self.label_58 = QtWidgets.QLabel(self.single_point_atm_calc_page)\r\n self.label_58.setGeometry(QtCore.QRect(340, 834, 201, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_58.setFont(font)\r\n self.label_58.setObjectName(\"label_58\")\r\n self.label_9 = QtWidgets.QLabel(self.single_point_atm_calc_page)\r\n self.label_9.setGeometry(QtCore.QRect(10, 837, 71, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_9.setFont(font)\r\n self.label_9.setObjectName(\"label_9\")\r\n self.method_spatm = QtWidgets.QComboBox(self.single_point_atm_calc_page)\r\n self.method_spatm.setGeometry(QtCore.QRect(84, 835, 101, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.method_spatm.setFont(font)\r\n self.method_spatm.setObjectName(\"method_spatm\")\r\n self.method_spatm.addItem(\"\")\r\n self.method_spatm.addItem(\"\")\r\n self.stackedWidget.addWidget(self.single_point_atm_calc_page)\r\n self.single_point_perf_calc_page = QtWidgets.QWidget()\r\n self.single_point_perf_calc_page.setObjectName(\"single_point_perf_calc_page\")\r\n self.groupBox_4 = QtWidgets.QGroupBox(self.single_point_perf_calc_page)\r\n self.groupBox_4.setGeometry(QtCore.QRect(10, 10, 801, 121))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_4.setFont(font)\r\n self.groupBox_4.setAutoFillBackground(False)\r\n self.groupBox_4.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_4.setObjectName(\"groupBox_4\")\r\n self.label_27 = QtWidgets.QLabel(self.groupBox_4)\r\n self.label_27.setGeometry(QtCore.QRect(20, 36, 55, 16))\r\n self.label_27.setObjectName(\"label_27\")\r\n self.label_28 = QtWidgets.QLabel(self.groupBox_4)\r\n self.label_28.setGeometry(QtCore.QRect(20, 66, 151, 31))\r\n self.label_28.setObjectName(\"label_28\")\r\n self.label_29 = QtWidgets.QLabel(self.groupBox_4)\r\n self.label_29.setGeometry(QtCore.QRect(330, 78, 161, 21))\r\n self.label_29.setObjectName(\"label_29\")\r\n self.name_ground_station_sp_perf = QtWidgets.QLineEdit(self.groupBox_4)\r\n self.name_ground_station_sp_perf.setGeometry(QtCore.QRect(100, 36, 511, 22))\r\n self.name_ground_station_sp_perf.setObjectName(\"name_ground_station_sp_perf\")\r\n self.long_ground_station_sp_perf = QtWidgets.QLineEdit(self.groupBox_4)\r\n self.long_ground_station_sp_perf.setGeometry(QtCore.QRect(510, 80, 101, 22))\r\n self.long_ground_station_sp_perf.setObjectName(\"long_ground_station_sp_perf\")\r\n self.lat_ground_station_sp_perf = QtWidgets.QLineEdit(self.groupBox_4)\r\n self.lat_ground_station_sp_perf.setGeometry(QtCore.QRect(200, 76, 101, 22))\r\n self.lat_ground_station_sp_perf.setObjectName(\"lat_ground_station_sp_perf\")\r\n self.save_ground_station_sp_perf = QtWidgets.QPushButton(self.groupBox_4)\r\n self.save_ground_station_sp_perf.setGeometry(QtCore.QRect(652, 80, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_ground_station_sp_perf.setFont(font)\r\n self.save_ground_station_sp_perf.setObjectName(\"save_ground_station_sp_perf\")\r\n self.load_ground_station_sp_perf = QtWidgets.QPushButton(self.groupBox_4)\r\n self.load_ground_station_sp_perf.setGeometry(QtCore.QRect(652, 48, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_ground_station_sp_perf.setFont(font)\r\n self.load_ground_station_sp_perf.setObjectName(\"load_ground_station_sp_perf\")\r\n self.clear_ground_station_sp_perf = QtWidgets.QPushButton(self.groupBox_4)\r\n self.clear_ground_station_sp_perf.setGeometry(QtCore.QRect(652, 16, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_ground_station_sp_perf.setFont(font)\r\n self.clear_ground_station_sp_perf.setObjectName(\"clear_ground_station_sp_perf\")\r\n self.groupBox_5 = QtWidgets.QGroupBox(self.single_point_perf_calc_page)\r\n self.groupBox_5.setGeometry(QtCore.QRect(10, 129, 801, 271))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_5.setFont(font)\r\n self.groupBox_5.setAutoFillBackground(False)\r\n self.groupBox_5.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_5.setObjectName(\"groupBox_5\")\r\n self.label_30 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_30.setGeometry(QtCore.QRect(20, 29, 55, 16))\r\n self.label_30.setObjectName(\"label_30\")\r\n self.label_32 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_32.setGeometry(QtCore.QRect(20, 71, 161, 21))\r\n self.label_32.setObjectName(\"label_32\")\r\n self.name_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.name_sat_sp_perf.setGeometry(QtCore.QRect(100, 29, 511, 22))\r\n self.name_sat_sp_perf.setObjectName(\"name_sat_sp_perf\")\r\n self.long_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.long_sat_sp_perf.setGeometry(QtCore.QRect(200, 71, 101, 22))\r\n self.long_sat_sp_perf.setObjectName(\"long_sat_sp_perf\")\r\n self.save_sat_sp_perf = QtWidgets.QPushButton(self.groupBox_5)\r\n self.save_sat_sp_perf.setGeometry(QtCore.QRect(653, 231, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_sp_perf.setFont(font)\r\n self.save_sat_sp_perf.setObjectName(\"save_sat_sp_perf\")\r\n self.load_sat_sp_perf = QtWidgets.QPushButton(self.groupBox_5)\r\n self.load_sat_sp_perf.setGeometry(QtCore.QRect(653, 199, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_sp_perf.setFont(font)\r\n self.load_sat_sp_perf.setObjectName(\"load_sat_sp_perf\")\r\n self.default_sat_sp_perf = QtWidgets.QComboBox(self.groupBox_5)\r\n self.default_sat_sp_perf.setGeometry(QtCore.QRect(650, 61, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_sp_perf.setFont(font)\r\n self.default_sat_sp_perf.setObjectName(\"default_sat_sp_perf\")\r\n self.label_33 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_33.setGeometry(QtCore.QRect(648, 31, 131, 16))\r\n self.label_33.setObjectName(\"label_33\")\r\n self.label_34 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_34.setGeometry(QtCore.QRect(330, 69, 111, 16))\r\n self.label_34.setObjectName(\"label_34\")\r\n self.height_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.height_sat_sp_perf.setGeometry(QtCore.QRect(510, 69, 101, 22))\r\n self.height_sat_sp_perf.setObjectName(\"height_sat_sp_perf\")\r\n self.label_35 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_35.setGeometry(QtCore.QRect(330, 110, 121, 16))\r\n self.label_35.setObjectName(\"label_35\")\r\n self.eirp_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.eirp_sat_sp_perf.setGeometry(QtCore.QRect(510, 106, 101, 22))\r\n self.eirp_sat_sp_perf.setObjectName(\"eirp_sat_sp_perf\")\r\n self.label_36 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_36.setGeometry(QtCore.QRect(20, 139, 171, 51))\r\n self.label_36.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_36.setObjectName(\"label_36\")\r\n self.max_bw_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.max_bw_sat_sp_perf.setGeometry(QtCore.QRect(200, 149, 101, 22))\r\n self.max_bw_sat_sp_perf.setObjectName(\"max_bw_sat_sp_perf\")\r\n self.label_37 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_37.setGeometry(QtCore.QRect(330, 134, 171, 51))\r\n self.label_37.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_37.setObjectName(\"label_37\")\r\n self.bw_util_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.bw_util_sat_sp_perf.setGeometry(QtCore.QRect(510, 147, 101, 22))\r\n self.bw_util_sat_sp_perf.setObjectName(\"bw_util_sat_sp_perf\")\r\n self.label_40 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_40.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_40.setObjectName(\"label_40\")\r\n self.rolloff_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.rolloff_sat_sp_perf.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.rolloff_sat_sp_perf.setObjectName(\"rolloff_sat_sp_perf\")\r\n self.label_41 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_41.setGeometry(QtCore.QRect(330, 192, 91, 16))\r\n self.label_41.setObjectName(\"label_41\")\r\n self.modcod_sat_sp_perf = QtWidgets.QComboBox(self.groupBox_5)\r\n self.modcod_sat_sp_perf.setGeometry(QtCore.QRect(450, 190, 161, 22))\r\n self.modcod_sat_sp_perf.setObjectName(\"modcod_sat_sp_perf\")\r\n self.label_42 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_42.setGeometry(QtCore.QRect(20, 111, 131, 20))\r\n self.label_42.setObjectName(\"label_42\")\r\n self.freq_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\r\n self.freq_sat_sp_perf.setGeometry(QtCore.QRect(200, 111, 101, 22))\r\n self.freq_sat_sp_perf.setObjectName(\"freq_sat_sp_perf\")\r\n self.label_6 = QtWidgets.QLabel(self.groupBox_5)\r\n self.label_6.setGeometry(QtCore.QRect(665, 97, 91, 20))\r\n self.label_6.setObjectName(\"label_6\")\r\n self.pol_sat_sp_perf = QtWidgets.QComboBox(self.groupBox_5)\r\n self.pol_sat_sp_perf.setGeometry(QtCore.QRect(660, 121, 101, 22))\r\n self.pol_sat_sp_perf.setObjectName(\"pol_sat_sp_perf\")\r\n self.pol_sat_sp_perf.addItem(\"\")\r\n self.pol_sat_sp_perf.addItem(\"\")\r\n self.pol_sat_sp_perf.addItem(\"\")\r\n self.clear_sat_sp_perf = QtWidgets.QPushButton(self.groupBox_5)\r\n self.clear_sat_sp_perf.setGeometry(QtCore.QRect(653, 169, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_sat_sp_perf.setFont(font)\r\n self.clear_sat_sp_perf.setObjectName(\"clear_sat_sp_perf\")\r\n self.groupBox_6 = QtWidgets.QGroupBox(self.single_point_perf_calc_page)\r\n self.groupBox_6.setGeometry(QtCore.QRect(10, 400, 801, 231))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_6.setFont(font)\r\n self.groupBox_6.setAutoFillBackground(False)\r\n self.groupBox_6.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_6.setObjectName(\"groupBox_6\")\r\n self.label_43 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_43.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_43.setObjectName(\"label_43\")\r\n self.label_44 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_44.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_44.setObjectName(\"label_44\")\r\n self.label_45 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_45.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_45.setObjectName(\"label_45\")\r\n self.name_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.name_reception_sp_perf.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_sp_perf.setObjectName(\"name_reception_sp_perf\")\r\n self.lnb_gain_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.lnb_gain_reception_sp_perf.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_sp_perf.setObjectName(\"lnb_gain_reception_sp_perf\")\r\n self.ant_size_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.ant_size_reception_sp_perf.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_sp_perf.setObjectName(\"ant_size_reception_sp_perf\")\r\n self.save_reception_sp_perf = QtWidgets.QPushButton(self.groupBox_6)\r\n self.save_reception_sp_perf.setGeometry(QtCore.QRect(654, 189, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_sp_perf.setFont(font)\r\n self.save_reception_sp_perf.setObjectName(\"save_reception_sp_perf\")\r\n self.load_reception_sp_perf = QtWidgets.QPushButton(self.groupBox_6)\r\n self.load_reception_sp_perf.setGeometry(QtCore.QRect(654, 155, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_sp_perf.setFont(font)\r\n self.load_reception_sp_perf.setObjectName(\"load_reception_sp_perf\")\r\n self.label_46 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_46.setGeometry(QtCore.QRect(330, 78, 141, 16))\r\n self.label_46.setObjectName(\"label_46\")\r\n self.ant_eff_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.ant_eff_reception_sp_perf.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_sp_perf.setObjectName(\"ant_eff_reception_sp_perf\")\r\n self.label_47 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_47.setGeometry(QtCore.QRect(330, 118, 161, 16))\r\n self.label_47.setObjectName(\"label_47\")\r\n self.lnb_temp_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.lnb_temp_reception_sp_perf.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_sp_perf.setObjectName(\"lnb_temp_reception_sp_perf\")\r\n self.label_48 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_48.setGeometry(QtCore.QRect(17, 139, 171, 51))\r\n self.label_48.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_48.setObjectName(\"label_48\")\r\n self.aditional_losses_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.aditional_losses_reception_sp_perf.setGeometry(QtCore.QRect(200, 153, 101, 22))\r\n self.aditional_losses_reception_sp_perf.setObjectName(\"aditional_losses_reception_sp_perf\")\r\n self.label_49 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_49.setGeometry(QtCore.QRect(19, 179, 171, 51))\r\n self.label_49.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_49.setObjectName(\"label_49\")\r\n self.max_depoint_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.max_depoint_reception_sp_perf.setGeometry(QtCore.QRect(200, 192, 101, 22))\r\n self.max_depoint_reception_sp_perf.setObjectName(\"max_depoint_reception_sp_perf\")\r\n self.clear_reception_sp_perf = QtWidgets.QPushButton(self.groupBox_6)\r\n self.clear_reception_sp_perf.setGeometry(QtCore.QRect(654, 123, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_sp_perf.setFont(font)\r\n self.clear_reception_sp_perf.setObjectName(\"clear_reception_sp_perf\")\r\n self.cable_loss_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\r\n self.cable_loss_reception_sp_perf.setGeometry(QtCore.QRect(509, 154, 101, 22))\r\n self.cable_loss_reception_sp_perf.setObjectName(\"cable_loss_reception_sp_perf\")\r\n self.label_67 = QtWidgets.QLabel(self.groupBox_6)\r\n self.label_67.setGeometry(QtCore.QRect(330, 140, 171, 51))\r\n self.label_67.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_67.setObjectName(\"label_67\")\r\n self.calc_sp_perf = QtWidgets.QPushButton(self.single_point_perf_calc_page)\r\n self.calc_sp_perf.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_sp_perf.setFont(font)\r\n self.calc_sp_perf.setObjectName(\"calc_sp_perf\")\r\n self.output_sp_perf = QtWidgets.QTextEdit(self.single_point_perf_calc_page)\r\n self.output_sp_perf.setGeometry(QtCore.QRect(10, 638, 801, 181))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.output_sp_perf.setFont(font)\r\n self.output_sp_perf.setObjectName(\"output_sp_perf\")\r\n self.label_4 = QtWidgets.QLabel(self.single_point_perf_calc_page)\r\n self.label_4.setGeometry(QtCore.QRect(10, 830, 161, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_4.setFont(font)\r\n self.label_4.setObjectName(\"label_4\")\r\n self.relaxation_sp_perf = QtWidgets.QLineEdit(self.single_point_perf_calc_page)\r\n self.relaxation_sp_perf.setGeometry(QtCore.QRect(175, 830, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_sp_perf.setFont(font)\r\n self.relaxation_sp_perf.setToolTip(\"\")\r\n self.relaxation_sp_perf.setObjectName(\"relaxation_sp_perf\")\r\n self.margin_sp_perf = QtWidgets.QLineEdit(self.single_point_perf_calc_page)\r\n self.margin_sp_perf.setGeometry(QtCore.QRect(340, 830, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_sp_perf.setFont(font)\r\n self.margin_sp_perf.setToolTip(\"\")\r\n self.margin_sp_perf.setObjectName(\"margin_sp_perf\")\r\n self.label_173 = QtWidgets.QLabel(self.single_point_perf_calc_page)\r\n self.label_173.setGeometry(QtCore.QRect(240, 830, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_173.setFont(font)\r\n self.label_173.setObjectName(\"label_173\")\r\n self.stackedWidget.addWidget(self.single_point_perf_calc_page)\r\n self.list_perf_calc_page = QtWidgets.QWidget()\r\n self.list_perf_calc_page.setObjectName(\"list_perf_calc_page\")\r\n self.browse_path_mp_perf = QtWidgets.QPushButton(self.list_perf_calc_page)\r\n self.browse_path_mp_perf.setGeometry(QtCore.QRect(700, 11, 93, 21))\r\n self.browse_path_mp_perf.setObjectName(\"browse_path_mp_perf\")\r\n self.label_10 = QtWidgets.QLabel(self.list_perf_calc_page)\r\n self.label_10.setGeometry(QtCore.QRect(6, 13, 55, 16))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_10.setFont(font)\r\n self.label_10.setObjectName(\"label_10\")\r\n self.preview_mp_perf = QtWidgets.QTableWidget(self.list_perf_calc_page)\r\n self.preview_mp_perf.setGeometry(QtCore.QRect(10, 61, 801, 131))\r\n self.preview_mp_perf.setObjectName(\"preview_mp_perf\")\r\n self.preview_mp_perf.setColumnCount(0)\r\n self.preview_mp_perf.setRowCount(0)\r\n self.label_11 = QtWidgets.QLabel(self.list_perf_calc_page)\r\n self.label_11.setGeometry(QtCore.QRect(10, 41, 91, 16))\r\n self.label_11.setObjectName(\"label_11\")\r\n self.groupBox_10 = QtWidgets.QGroupBox(self.list_perf_calc_page)\r\n self.groupBox_10.setGeometry(QtCore.QRect(8, 199, 801, 261))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_10.setFont(font)\r\n self.groupBox_10.setAutoFillBackground(False)\r\n self.groupBox_10.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_10.setObjectName(\"groupBox_10\")\r\n self.label_71 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_71.setGeometry(QtCore.QRect(20, 27, 55, 16))\r\n self.label_71.setObjectName(\"label_71\")\r\n self.label_72 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_72.setGeometry(QtCore.QRect(20, 69, 161, 21))\r\n self.label_72.setObjectName(\"label_72\")\r\n self.name_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.name_sat_mp_perf.setGeometry(QtCore.QRect(100, 27, 511, 22))\r\n self.name_sat_mp_perf.setObjectName(\"name_sat_mp_perf\")\r\n self.long_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.long_sat_mp_perf.setGeometry(QtCore.QRect(200, 69, 101, 22))\r\n self.long_sat_mp_perf.setObjectName(\"long_sat_mp_perf\")\r\n self.save_sat_mp_perf = QtWidgets.QPushButton(self.groupBox_10)\r\n self.save_sat_mp_perf.setGeometry(QtCore.QRect(658, 222, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_sat_mp_perf.setFont(font)\r\n self.save_sat_mp_perf.setObjectName(\"save_sat_mp_perf\")\r\n self.load_sat_mp_perf = QtWidgets.QPushButton(self.groupBox_10)\r\n self.load_sat_mp_perf.setGeometry(QtCore.QRect(658, 190, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_sat_mp_perf.setFont(font)\r\n self.load_sat_mp_perf.setObjectName(\"load_sat_mp_perf\")\r\n self.default_sat_mp_perf = QtWidgets.QComboBox(self.groupBox_10)\r\n self.default_sat_mp_perf.setGeometry(QtCore.QRect(650, 58, 131, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(8)\r\n self.default_sat_mp_perf.setFont(font)\r\n self.default_sat_mp_perf.setObjectName(\"default_sat_mp_perf\")\r\n self.label_73 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_73.setGeometry(QtCore.QRect(651, 29, 131, 16))\r\n self.label_73.setObjectName(\"label_73\")\r\n self.label_74 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_74.setGeometry(QtCore.QRect(330, 70, 111, 16))\r\n self.label_74.setObjectName(\"label_74\")\r\n self.height_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.height_sat_mp_perf.setGeometry(QtCore.QRect(510, 67, 101, 22))\r\n self.height_sat_mp_perf.setObjectName(\"height_sat_mp_perf\")\r\n self.label_75 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_75.setGeometry(QtCore.QRect(330, 108, 121, 16))\r\n self.label_75.setObjectName(\"label_75\")\r\n self.eirp_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.eirp_sat_mp_perf.setGeometry(QtCore.QRect(510, 104, 101, 22))\r\n self.eirp_sat_mp_perf.setObjectName(\"eirp_sat_mp_perf\")\r\n self.label_76 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_76.setGeometry(QtCore.QRect(20, 137, 171, 51))\r\n self.label_76.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_76.setObjectName(\"label_76\")\r\n self.max_bw_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.max_bw_sat_mp_perf.setGeometry(QtCore.QRect(200, 147, 101, 22))\r\n self.max_bw_sat_mp_perf.setObjectName(\"max_bw_sat_mp_perf\")\r\n self.label_77 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_77.setGeometry(QtCore.QRect(330, 132, 171, 51))\r\n self.label_77.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_77.setObjectName(\"label_77\")\r\n self.bw_util_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.bw_util_sat_mp_perf.setGeometry(QtCore.QRect(510, 145, 101, 22))\r\n self.bw_util_sat_mp_perf.setObjectName(\"bw_util_sat_mp_perf\")\r\n self.label_80 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_80.setGeometry(QtCore.QRect(20, 191, 61, 16))\r\n self.label_80.setObjectName(\"label_80\")\r\n self.rolloff_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.rolloff_sat_mp_perf.setGeometry(QtCore.QRect(200, 191, 101, 22))\r\n self.rolloff_sat_mp_perf.setObjectName(\"rolloff_sat_mp_perf\")\r\n self.label_81 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_81.setGeometry(QtCore.QRect(330, 191, 91, 16))\r\n self.label_81.setObjectName(\"label_81\")\r\n self.modcod_sat_mp_perf = QtWidgets.QComboBox(self.groupBox_10)\r\n self.modcod_sat_mp_perf.setGeometry(QtCore.QRect(450, 191, 161, 22))\r\n self.modcod_sat_mp_perf.setObjectName(\"modcod_sat_mp_perf\")\r\n self.label_82 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_82.setGeometry(QtCore.QRect(20, 109, 131, 20))\r\n self.label_82.setObjectName(\"label_82\")\r\n self.freq_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\r\n self.freq_sat_mp_perf.setGeometry(QtCore.QRect(200, 109, 101, 22))\r\n self.freq_sat_mp_perf.setObjectName(\"freq_sat_mp_perf\")\r\n self.label_12 = QtWidgets.QLabel(self.groupBox_10)\r\n self.label_12.setGeometry(QtCore.QRect(666, 89, 91, 20))\r\n self.label_12.setObjectName(\"label_12\")\r\n self.pol_sat_mp_perf = QtWidgets.QComboBox(self.groupBox_10)\r\n self.pol_sat_mp_perf.setGeometry(QtCore.QRect(663, 119, 101, 22))\r\n self.pol_sat_mp_perf.setObjectName(\"pol_sat_mp_perf\")\r\n self.pol_sat_mp_perf.addItem(\"\")\r\n self.pol_sat_mp_perf.addItem(\"\")\r\n self.pol_sat_mp_perf.addItem(\"\")\r\n self.clear_satellite_mp_perf = QtWidgets.QPushButton(self.groupBox_10)\r\n self.clear_satellite_mp_perf.setGeometry(QtCore.QRect(658, 156, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_satellite_mp_perf.setFont(font)\r\n self.clear_satellite_mp_perf.setObjectName(\"clear_satellite_mp_perf\")\r\n self.groupBox_11 = QtWidgets.QGroupBox(self.list_perf_calc_page)\r\n self.groupBox_11.setGeometry(QtCore.QRect(10, 458, 801, 221))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.groupBox_11.setFont(font)\r\n self.groupBox_11.setAutoFillBackground(False)\r\n self.groupBox_11.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\r\n self.groupBox_11.setObjectName(\"groupBox_11\")\r\n self.label_83 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_83.setGeometry(QtCore.QRect(20, 38, 55, 16))\r\n self.label_83.setObjectName(\"label_83\")\r\n self.label_84 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_84.setGeometry(QtCore.QRect(20, 68, 151, 31))\r\n self.label_84.setObjectName(\"label_84\")\r\n self.label_85 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_85.setGeometry(QtCore.QRect(20, 113, 161, 21))\r\n self.label_85.setObjectName(\"label_85\")\r\n self.name_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.name_reception_mp_perf.setGeometry(QtCore.QRect(100, 38, 511, 22))\r\n self.name_reception_mp_perf.setObjectName(\"name_reception_mp_perf\")\r\n self.lnb_gain_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.lnb_gain_reception_mp_perf.setGeometry(QtCore.QRect(200, 113, 101, 22))\r\n self.lnb_gain_reception_mp_perf.setObjectName(\"lnb_gain_reception_mp_perf\")\r\n self.ant_size_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.ant_size_reception_mp_perf.setGeometry(QtCore.QRect(200, 74, 101, 22))\r\n self.ant_size_reception_mp_perf.setObjectName(\"ant_size_reception_mp_perf\")\r\n self.save_reception_mp_perf = QtWidgets.QPushButton(self.groupBox_11)\r\n self.save_reception_mp_perf.setGeometry(QtCore.QRect(656, 186, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.save_reception_mp_perf.setFont(font)\r\n self.save_reception_mp_perf.setObjectName(\"save_reception_mp_perf\")\r\n self.load_reception_mp_perf = QtWidgets.QPushButton(self.groupBox_11)\r\n self.load_reception_mp_perf.setGeometry(QtCore.QRect(656, 151, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.load_reception_mp_perf.setFont(font)\r\n self.load_reception_mp_perf.setObjectName(\"load_reception_mp_perf\")\r\n self.label_86 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_86.setGeometry(QtCore.QRect(330, 78, 141, 16))\r\n self.label_86.setObjectName(\"label_86\")\r\n self.ant_eff_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.ant_eff_reception_mp_perf.setGeometry(QtCore.QRect(510, 78, 101, 22))\r\n self.ant_eff_reception_mp_perf.setObjectName(\"ant_eff_reception_mp_perf\")\r\n self.label_87 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_87.setGeometry(QtCore.QRect(330, 118, 161, 16))\r\n self.label_87.setScaledContents(False)\r\n self.label_87.setObjectName(\"label_87\")\r\n self.lnb_temp_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.lnb_temp_reception_mp_perf.setGeometry(QtCore.QRect(510, 115, 101, 22))\r\n self.lnb_temp_reception_mp_perf.setObjectName(\"lnb_temp_reception_mp_perf\")\r\n self.label_88 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_88.setGeometry(QtCore.QRect(20, 132, 171, 51))\r\n self.label_88.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_88.setObjectName(\"label_88\")\r\n self.aditional_losses_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.aditional_losses_reception_mp_perf.setGeometry(QtCore.QRect(200, 146, 101, 22))\r\n self.aditional_losses_reception_mp_perf.setObjectName(\"aditional_losses_reception_mp_perf\")\r\n self.label_89 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_89.setGeometry(QtCore.QRect(20, 170, 171, 51))\r\n self.label_89.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_89.setObjectName(\"label_89\")\r\n self.max_depoint_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.max_depoint_reception_mp_perf.setGeometry(QtCore.QRect(200, 190, 101, 22))\r\n self.max_depoint_reception_mp_perf.setObjectName(\"max_depoint_reception_mp_perf\")\r\n self.clear_reception_mp_perf = QtWidgets.QPushButton(self.groupBox_11)\r\n self.clear_reception_mp_perf.setGeometry(QtCore.QRect(656, 115, 111, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n font.setBold(False)\r\n font.setWeight(50)\r\n self.clear_reception_mp_perf.setFont(font)\r\n self.clear_reception_mp_perf.setObjectName(\"clear_reception_mp_perf\")\r\n self.cable_loss_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\r\n self.cable_loss_reception_mp_perf.setGeometry(QtCore.QRect(510, 150, 101, 22))\r\n self.cable_loss_reception_mp_perf.setObjectName(\"cable_loss_reception_mp_perf\")\r\n self.label_90 = QtWidgets.QLabel(self.groupBox_11)\r\n self.label_90.setGeometry(QtCore.QRect(330, 133, 171, 51))\r\n self.label_90.setLayoutDirection(QtCore.Qt.LeftToRight)\r\n self.label_90.setObjectName(\"label_90\")\r\n self.output_mp_perf = QtWidgets.QTextEdit(self.list_perf_calc_page)\r\n self.output_mp_perf.setGeometry(QtCore.QRect(10, 684, 801, 141))\r\n self.output_mp_perf.setObjectName(\"output_mp_perf\")\r\n self.relaxation_mp_perf = QtWidgets.QLineEdit(self.list_perf_calc_page)\r\n self.relaxation_mp_perf.setGeometry(QtCore.QRect(174, 832, 51, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.relaxation_mp_perf.setFont(font)\r\n self.relaxation_mp_perf.setToolTip(\"\")\r\n self.relaxation_mp_perf.setObjectName(\"relaxation_mp_perf\")\r\n self.calc_mp_perf = QtWidgets.QPushButton(self.list_perf_calc_page)\r\n self.calc_mp_perf.setGeometry(QtCore.QRect(670, 830, 141, 28))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.calc_mp_perf.setFont(font)\r\n self.calc_mp_perf.setObjectName(\"calc_mp_perf\")\r\n self.label_14 = QtWidgets.QLabel(self.list_perf_calc_page)\r\n self.label_14.setGeometry(QtCore.QRect(10, 833, 161, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_14.setFont(font)\r\n self.label_14.setObjectName(\"label_14\")\r\n self.label_15 = QtWidgets.QLabel(self.list_perf_calc_page)\r\n self.label_15.setGeometry(QtCore.QRect(420, 831, 61, 20))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_15.setFont(font)\r\n self.label_15.setObjectName(\"label_15\")\r\n self.n_threads_mp_perf = QtWidgets.QComboBox(self.list_perf_calc_page)\r\n self.n_threads_mp_perf.setGeometry(QtCore.QRect(490, 831, 73, 22))\r\n self.n_threads_mp_perf.setObjectName(\"n_threads_mp_perf\")\r\n self.path_mp_perf = QtWidgets.QLineEdit(self.list_perf_calc_page)\r\n self.path_mp_perf.setGeometry(QtCore.QRect(55, 10, 631, 22))\r\n self.path_mp_perf.setObjectName(\"path_mp_perf\")\r\n self.label_16 = QtWidgets.QLabel(self.list_perf_calc_page)\r\n self.label_16.setGeometry(QtCore.QRect(240, 831, 91, 21))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.label_16.setFont(font)\r\n self.label_16.setObjectName(\"label_16\")\r\n self.margin_mp_perf = QtWidgets.QLineEdit(self.list_perf_calc_page)\r\n self.margin_mp_perf.setGeometry(QtCore.QRect(340, 831, 61, 22))\r\n font = QtGui.QFont()\r\n font.setPointSize(10)\r\n self.margin_mp_perf.setFont(font)\r\n self.margin_mp_perf.setToolTip(\"\")\r\n self.margin_mp_perf.setObjectName(\"margin_mp_perf\")\r\n self.stackedWidget.addWidget(self.list_perf_calc_page)\r\n MainWindow.setCentralWidget(self.centralwidget)\r\n self.menubar = QtWidgets.QMenuBar(MainWindow)\r\n self.menubar.setGeometry(QtCore.QRect(0, 0, 820, 26))\r\n self.menubar.setObjectName(\"menubar\")\r\n self.menuNew = QtWidgets.QMenu(self.menubar)\r\n self.menuNew.setObjectName(\"menuNew\")\r\n self.menuCalculation = QtWidgets.QMenu(self.menubar)\r\n self.menuCalculation.setObjectName(\"menuCalculation\")\r\n self.menuList_Calculation = QtWidgets.QMenu(self.menubar)\r\n self.menuList_Calculation.setObjectName(\"menuList_Calculation\")\r\n self.menuHelp = QtWidgets.QMenu(self.menubar)\r\n self.menuHelp.setObjectName(\"menuHelp\")\r\n MainWindow.setMenuBar(self.menubar)\r\n self.statusbar = QtWidgets.QStatusBar(MainWindow)\r\n self.statusbar.setObjectName(\"statusbar\")\r\n MainWindow.setStatusBar(self.statusbar)\r\n self.action_New_Satellite = QtWidgets.QAction(MainWindow)\r\n self.action_New_Satellite.setObjectName(\"action_New_Satellite\")\r\n self.actionReception = QtWidgets.QAction(MainWindow)\r\n self.actionReception.setObjectName(\"actionReception\")\r\n self.action_New_Ground_Station = QtWidgets.QAction(MainWindow)\r\n self.action_New_Ground_Station.setObjectName(\"action_New_Ground_Station\")\r\n self.action_Single_Atmospheric_Atenuation = QtWidgets.QAction(MainWindow)\r\n self.action_Single_Atmospheric_Atenuation.setObjectName(\"action_Single_Atmospheric_Atenuation\")\r\n self.action_Single_Downlink_Performance = QtWidgets.QAction(MainWindow)\r\n self.action_Single_Downlink_Performance.setObjectName(\"action_Single_Downlink_Performance\")\r\n self.action_List_Downlink_Performance = QtWidgets.QAction(MainWindow)\r\n self.action_List_Downlink_Performance.setObjectName(\"action_List_Downlink_Performance\")\r\n self.action_Single_Antenna_Size = QtWidgets.QAction(MainWindow)\r\n self.action_Single_Antenna_Size.setObjectName(\"action_Single_Antenna_Size\")\r\n self.action_List_Antenna_Size = QtWidgets.QAction(MainWindow)\r\n self.action_List_Antenna_Size.setObjectName(\"action_List_Antenna_Size\")\r\n self.menuNew.addAction(self.action_New_Satellite)\r\n self.menuNew.addAction(self.action_New_Ground_Station)\r\n self.menuNew.addAction(self.actionReception)\r\n self.menuCalculation.addAction(self.action_Single_Atmospheric_Atenuation)\r\n self.menuCalculation.addAction(self.action_Single_Downlink_Performance)\r\n self.menuCalculation.addAction(self.action_Single_Antenna_Size)\r\n self.menuList_Calculation.addAction(self.action_List_Downlink_Performance)\r\n self.menuList_Calculation.addAction(self.action_List_Antenna_Size)\r\n self.menubar.addAction(self.menuNew.menuAction())\r\n self.menubar.addAction(self.menuCalculation.menuAction())\r\n self.menubar.addAction(self.menuList_Calculation.menuAction())\r\n self.menubar.addAction(self.menuHelp.menuAction())\r\n\r\n self.retranslateUi(MainWindow)\r\n self.stackedWidget.setCurrentIndex(4)\r\n self.stackedWidget_2.setCurrentIndex(7)\r\n self.stackedWidget_3.setCurrentIndex(9)\r\n self.stackedWidget_4.setCurrentIndex(7)\r\n QtCore.QMetaObject.connectSlotsByName(MainWindow)\r\n\r\n # ===================================== HERE GOES MY CODE! ======================================================\r\n\r\n self.stackedWidget.setCurrentIndex(0) # selecting the initial application's page\r\n\r\n ######### change window actions buttons ##########\r\n import webbrowser\r\n self.action_New_Satellite.triggered.connect(\r\n lambda state, x=1, page_name='SaLink - Create Satellite': self.change_page(x, page_name))\r\n self.action_New_Ground_Station.triggered.connect(\r\n lambda state, x=2, page_name='SaLink - Create Ground Station': self.change_page(x, page_name))\r\n self.actionReception.triggered.connect(\r\n lambda state, x=3, page_name='SaLink - Create Reception': self.change_page(x, page_name))\r\n self.action_Single_Atmospheric_Atenuation.triggered.connect(\r\n lambda state, x=6, page_name='SaLink - Atmospheric Attenuation': self.change_page(x, page_name))\r\n self.action_Single_Downlink_Performance.triggered.connect(\r\n lambda state, x=7, page_name='SaLink - Downlink Performance': self.change_page(x, page_name))\r\n self.action_List_Downlink_Performance.triggered.connect(\r\n lambda state, x=8, page_name='SaLink - Multi Downlink Performance': self.change_page(x, page_name))\r\n self.action_Single_Antenna_Size.triggered.connect(\r\n lambda state, x=4, page_name='SaLink - Antenna Size': self.change_page(x, page_name))\r\n self.action_List_Antenna_Size.triggered.connect(\r\n lambda state, x=5, page_name='SaLink - Multi Antenna Size': self.change_page(x, page_name))\r\n # self.menuHelp.clicked.connect(webbrowser.open('https://cfragoas.github.io/SatLink/'))\r\n\r\n ################# calculation buttons #####################\r\n self.calc_spatm.clicked.connect(\r\n self.single_point_atm_atnn_calc) # Single point atmospheric attenuation calc button activation\r\n self.calc_sp_perf.clicked.connect(self.single_point_calc_perf)\r\n self.calc_mp_perf.clicked.connect(self.multi_point_calc_perf)\r\n self.calc_sp_ant_size.clicked.connect(self.single_point_ant_size)\r\n self.calc_mp_ant_size.clicked.connect(self.multi_point_ant_size)\r\n\r\n ########################saves and load boxes ##########################\r\n # main satellite save/load/clear screen\r\n self.load_sat.clicked.connect(lambda state, opt='load': self.load_save_sat(opt))\r\n self.save_sat.clicked.connect(lambda state, opt='save': self.load_save_sat(opt))\r\n self.clear_sat.clicked.connect(lambda state, opt='clear': self.load_save_sat(opt))\r\n\r\n # main ground station save/load/clear screen\r\n self.load_ground_station_gdstation.clicked.connect(lambda state, opt='load': self.load_save_gr_station(opt))\r\n self.save_ground_station_gdstation.clicked.connect(lambda state, opt='save': self.load_save_gr_station(opt))\r\n self.clear_ground_station_gdstation.clicked.connect(lambda state, opt='clear': self.load_save_gr_station(opt))\r\n\r\n # main reception save/load/clear screen\r\n self.load_reception_rcp.clicked.connect(lambda state, opt='load': self.load_save_reception(opt))\r\n self.save_reception_rcp.clicked.connect(lambda state, opt='save': self.load_save_reception(opt))\r\n self.clear_reception_rcp.clicked.connect(lambda state, opt='clear': self.load_save_reception(opt))\r\n\r\n # list path browse\r\n self.browse_path_mp_perf.clicked.connect(\r\n lambda state, preview_window=self.preview_mp_perf, path_box=self.path_mp_perf: self.load_point_list(\r\n preview_window, path_box))\r\n self.browse_mp_ant_size.clicked.connect(\r\n lambda state, preview_window=self.preview_mp_ant_size, path_box=self.path_mp_ant_size: self.load_point_list(\r\n preview_window, path_box))\r\n\r\n # single point atmospheric attenuation screen\r\n self.load_ground_station_spatm.clicked.connect(\r\n lambda state, opt='load', item='gst': self.load_clear_atm_atnn_calc(opt, item))\r\n self.load_reception_spatm.clicked.connect(\r\n lambda state, opt='load', item='rcp': self.load_clear_atm_atnn_calc(opt, item))\r\n self.clear_reception_spatm.clicked.connect(\r\n lambda state, opt='clear', item='rcp': self.load_clear_atm_atnn_calc(opt, item))\r\n self.load_sat_spatm.clicked.connect(\r\n lambda state, opt='load', item='sat': self.load_clear_atm_atnn_calc(opt, item))\r\n\r\n # single point link performance screen\r\n self.load_ground_station_sp_perf.clicked.connect(\r\n lambda state, opt='load', item='gst': self.load_save_single_point_perf(opt, item))\r\n self.save_ground_station_sp_perf.clicked.connect(\r\n lambda state, opt='save', item='gst': self.load_save_single_point_perf(opt, item))\r\n self.clear_ground_station_sp_perf.clicked.connect(\r\n lambda state, opt='clear', item='gst': self.load_save_single_point_perf(opt, item))\r\n self.load_sat_sp_perf.clicked.connect(\r\n lambda state, opt='load', item='sat': self.load_save_single_point_perf(opt, item))\r\n self.save_sat_sp_perf.clicked.connect(\r\n lambda state, opt='save', item='sat': self.load_save_single_point_perf(opt, item))\r\n self.clear_sat_sp_perf.clicked.connect(\r\n lambda state, opt='clear', item='sat': self.load_save_single_point_perf(opt, item))\r\n self.load_reception_sp_perf.clicked.connect(\r\n lambda state, opt='load', item='rcp': self.load_save_single_point_perf(opt, item))\r\n self.save_reception_sp_perf.clicked.connect(\r\n lambda state, opt='save', item='rcp': self.load_save_single_point_perf(opt, item))\r\n self.clear_reception_sp_perf.clicked.connect(\r\n lambda state, opt='clear', item='rcp': self.load_save_single_point_perf(opt, item))\r\n\r\n # single point antenna size calculation screen\r\n self.load_ground_station_sp_ant_size.clicked.connect(\r\n lambda state, opt='load', item='gst': self.load_save_single_point_ant_size(opt, item))\r\n self.save_ground_station_sp_ant_size.clicked.connect(\r\n lambda state, opt='save', item='gst': self.load_save_single_point_ant_size(opt, item))\r\n self.clear_ground_station_sp_ant_size.clicked.connect(\r\n lambda state, opt='clear', item='gst': self.load_save_single_point_ant_size(opt, item))\r\n self.load_sat_sp_ant_size.clicked.connect(\r\n lambda state, opt='load', item='sat': self.load_save_single_point_ant_size(opt, item))\r\n self.save_sat_sp_ant_size.clicked.connect(\r\n lambda state, opt='save', item='sat': self.load_save_single_point_ant_size(opt, item))\r\n self.clear_sat_sp_ant_size.clicked.connect(\r\n lambda state, opt='clear', item='sat': self.load_save_single_point_ant_size(opt, item))\r\n self.load_reception_sp_ant_size.clicked.connect(\r\n lambda state, opt='load', item='rcp': self.load_save_single_point_ant_size(opt, item))\r\n self.clear_reception_sp_ant_size.clicked.connect(\r\n lambda state, opt='clear', item='rcp': self.load_save_single_point_ant_size(opt, item))\r\n self.export_result_sp_ant_size.clicked.connect(self.export_graph)\r\n\r\n # multi point performance screen\r\n self.load_sat_mp_perf.clicked.connect(\r\n lambda state, opt='load', item='sat': self.load_save_multi_point_perf(opt, item))\r\n self.save_sat_mp_perf.clicked.connect(\r\n lambda state, opt='save', item='sat': self.load_save_multi_point_perf(opt, item))\r\n self.clear_satellite_mp_perf.clicked.connect(\r\n lambda state, opt='clear', item='sat': self.load_save_multi_point_perf(opt, item))\r\n self.load_reception_mp_perf.clicked.connect(\r\n lambda state, opt='load', item='rcp': self.load_save_multi_point_perf(opt, item))\r\n self.save_reception_mp_perf.clicked.connect(\r\n lambda state, opt='save', item='rcp': self.load_save_multi_point_perf(opt, item))\r\n self.clear_reception_mp_perf.clicked.connect(\r\n lambda state, opt='clear', item='rcp': self.load_save_multi_point_perf(opt, item))\r\n\r\n # multi point antenna size calculation screen\r\n self.load_sat_mp_ant_size.clicked.connect(\r\n lambda state, opt='load', item='sat': self.load_save_multi_point_ant_size(opt, item))\r\n self.save_sat_mp_ant_size.clicked.connect(\r\n lambda state, opt='save', item='sat': self.load_save_multi_point_ant_size(opt, item))\r\n self.clear_sat_mp_ant_size.clicked.connect(\r\n lambda state, opt='clear', item='sat': self.load_save_multi_point_ant_size(opt, item))\r\n self.load_reception_mp_ant_size.clicked.connect(\r\n lambda state, opt='load', item='rcp': self.load_save_multi_point_ant_size(opt, item))\r\n self.clear_reception_mp_ant_size.clicked.connect(\r\n lambda state, opt='clear', item='rcp': self.load_save_multi_point_ant_size(opt, item))\r\n\r\n ########################################################################\r\n\r\n # creating the combo boxes options from files and changed event\r\n import pandas as pd\r\n\r\n # Modulation combo boxes\r\n data = pd.read_csv('models\\\\Modulation_dB.csv', sep=';')['Modcod']\r\n data = data.values.tolist()\r\n self.modcod_sat_mp_perf.addItems(data)\r\n self.modcod_sat_sp_perf.addItems(data)\r\n self.modcod_sat.addItems(data)\r\n self.modcod_sat_sp_ant_size.addItems(data)\r\n self.modcod_sat_mp_ant_size.addItems(data)\r\n # Default satellite list combo boxes\r\n data = pd.read_csv('models\\\\Default_Sat.csv', sep=';')['SAT']\r\n data = data.values.tolist()\r\n self.default_sat.addItems(data)\r\n self.default_sat_sp_ant_size.addItems(data)\r\n self.default_sat_mp_ant_size.addItems(data)\r\n self.default_sat_spatm.addItems(data)\r\n self.default_sat_sp_perf.addItems(data)\r\n self.default_sat_mp_perf.addItems(data)\r\n # Default satellite change event\r\n self.default_sat.currentIndexChanged.connect(lambda state,\r\n cb_box = self.default_sat,\r\n page = 'default_sat': self.on_combobox_changed(cb_box, page))\r\n self.default_sat_sp_ant_size.currentIndexChanged.connect(lambda state,\r\n cb_box = self.default_sat_sp_ant_size,\r\n page = 'sp_ant_size': self.on_combobox_changed(cb_box, page))\r\n self.default_sat_mp_ant_size.currentIndexChanged.connect(lambda state,\r\n cb_box = self.default_sat_mp_ant_size,\r\n page = 'mp_ant_size': self.on_combobox_changed(cb_box, page))\r\n self.default_sat_spatm.currentIndexChanged.connect(lambda state,\r\n cb_box = self.default_sat_spatm,\r\n page = 'spatm': self.on_combobox_changed(cb_box, page))\r\n self.default_sat_sp_perf.currentIndexChanged.connect(lambda state,\r\n cb_box = self.default_sat_sp_perf,\r\n page = 'sp_perf': self.on_combobox_changed(cb_box, page))\r\n self.default_sat_mp_perf.currentIndexChanged.connect(lambda state,\r\n cb_box = self.default_sat_mp_perf,\r\n page = 'mp_perf': self.on_combobox_changed(cb_box, page))\r\n\r\n # threads number combo box\r\n import multiprocessing\r\n self.cores = multiprocessing.cpu_count()\r\n print('Max threads: ', self.cores)\r\n if self.cores > 63:\r\n self.cores = 63\r\n n_thread_list = [1]\r\n n_thread_list.extend(range(2, self.cores - 1, round(self.cores / 4)))\r\n n_thread_list_map = map(str, n_thread_list)\r\n\r\n self.n_threads_mp_perf.addItems(n_thread_list_map)\r\n n_thread_list_map = map(str, n_thread_list)\r\n self.n_threads_mp_ant_size.addItems(n_thread_list_map)\r\n\r\n # deleting temp files\r\n import os\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n if os.path.exists('temp\\\\args.pkl'):\r\n os.remove('temp\\\\args.pkl')\r\n if os.path.exists(\"temp\\\\out.txt\"):\r\n os.remove(\"temp\\\\out.txt\")\r\n\r\n # maintaing updatable texts\r\n self._update_timer = QtCore.QTimer()\r\n self._update_timer.timeout.connect(lambda index=3: self.update_label(index))\r\n self._update_timer.timeout.connect(lambda index=4: self.update_label(index))\r\n self._update_timer.start(1000) # milliseconds\r\n\r\n def on_combobox_changed(self, cb_box, page):\r\n import pandas as pd\r\n index = cb_box.currentIndex()\r\n if index != 0:\r\n data = pd.read_csv('models\\\\Default_Sat.csv', sep=';')['COORD']\r\n long = data[index]\r\n if page == 'default_sat':\r\n self.long_sat.setText(long)\r\n elif page == 'sp_ant_size':\r\n self.long_sat_sp_ant_size.setText(long)\r\n elif page == 'mp_ant_size':\r\n self.long_sat_mp_ant_size.setText(long)\r\n elif page == 'spatm':\r\n self.long_sat_spatm.setText(long)\r\n elif page == 'sp_perf':\r\n self.long_sat_sp_perf.setText(long)\r\n elif page == 'mp_perf':\r\n self.long_sat_mp_perf.setText(long)\r\n\r\n\r\n def load_save_sat(self, opt):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n type = 'Sat Files (*.sat)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.sat'\r\n try:\r\n name_sat = str(self.name_sat.text())\r\n long_sat = float(self.long_sat.text())\r\n height_sat = float(self.height_sat.text())\r\n freq = float(self.freq_sat.text())\r\n eirp_sat = float(self.eirp_sat.text())\r\n max_bw_sat = float(self.max_bw_sat.text())\r\n bw_util = float(self.bw_util_sat.text())\r\n rolloff_sat = float(self.rolloff_sat.text())\r\n modulation = str(self.modcod_sat.currentText())\r\n pol = str(self.pol_sat.currentText())\r\n\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\r\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\r\n f)\r\n f.close()\r\n self.name_sat.setText(str(name_sat))\r\n self.long_sat.setText(str(long_sat))\r\n self.height_sat.setText(str(height_sat))\r\n self.freq_sat.setText(str(freq))\r\n self.eirp_sat.setText(str(eirp_sat))\r\n self.max_bw_sat.setText(str(max_bw_sat))\r\n self.bw_util_sat.setText(str(bw_util))\r\n self.rolloff_sat.setText(str(rolloff_sat))\r\n index = self.pol_sat.findText(str(pol), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.pol_sat.setCurrentIndex(index)\r\n index = self.modcod_sat.findText(str(modulation), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.modcod_sat.setCurrentIndex(index)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_sat.clear()\r\n self.long_sat.clear()\r\n self.height_sat.clear()\r\n self.freq_sat.clear()\r\n self.eirp_sat.clear()\r\n self.max_bw_sat.clear()\r\n self.bw_util_sat.clear()\r\n self.rolloff_sat.clear()\r\n self.pol_sat.setCurrentIndex(0)\r\n self.modcod_sat.setCurrentIndex(0)\r\n\r\n def load_save_gr_station(self, opt):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n type = 'Ground Station Files (*.gst)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.gst'\r\n try:\r\n name_grst = str(self.name_ground_station_grstat.text())\r\n lat_gst = float(self.lat_ground_station_grstat.text())\r\n long_gst = float(self.long_ground_station_grstat.text())\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_grst, lat_gst, long_gst], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_grst, lat_gst, long_gst = pickle.load(f)\r\n f.close()\r\n self.name_ground_station_grstat.setText(str(name_grst))\r\n self.lat_ground_station_grstat.setText(str(lat_gst))\r\n self.long_ground_station_grstat.setText(str(long_gst))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_ground_station_grstat.clear()\r\n self.lat_ground_station_grstat.clear()\r\n self.long_ground_station_grstat.clear()\r\n\r\n def load_save_reception(self, opt):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n type = 'Reception Setup Files (*.rcp)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.rcp'\r\n try:\r\n name_rcp = str(self.name_reception_rcp.text())\r\n ant_size = float(self.ant_size_reception_rcp.text())\r\n ant_eff = float(self.ant_eff_reception_rcp.text())\r\n lnb_gain = float(self.lnb_gain_reception_rcp.text())\r\n lnb_temp = float(self.lnb_temp_reception_rcp.text())\r\n aditional_losses = float(self.aditional_losses_reception_rcp.text())\r\n cable_loss = float(self.cable_loss_reception_rcp.text())\r\n max_depoint = float(self.max_depoint_reception_rcp.text())\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump(\r\n [name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\r\n f)\r\n f.close()\r\n self.name_reception_rcp.setText(str(name_rcp))\r\n self.ant_size_reception_rcp.setText(str(ant_size))\r\n self.ant_eff_reception_rcp.setText(str(ant_eff))\r\n self.lnb_gain_reception_rcp.setText(str(lnb_gain))\r\n self.lnb_temp_reception_rcp.setText(str(lnb_temp))\r\n self.aditional_losses_reception_rcp.setText(str(aditional_losses))\r\n self.cable_loss_reception_rcp.setText(str(cable_loss))\r\n self.max_depoint_reception_rcp.setText(str(max_depoint))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_reception_rcp.clear()\r\n self.ant_size_reception_rcp.clear()\r\n self.ant_eff_reception_rcp.clear()\r\n self.lnb_gain_reception_rcp.clear()\r\n self.lnb_temp_reception_rcp.clear()\r\n self.aditional_losses_reception_rcp.clear()\r\n self.cable_loss_reception_rcp.clear()\r\n self.max_depoint_reception_rcp.clear()\r\n\r\n def load_clear_atm_atnn_calc(self, opt, item):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n\r\n if item == 'gst':\r\n type = 'Ground Station Files (*.gst)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_grst, lat_gst, long_gst = pickle.load(f)\r\n f.close()\r\n self.lat_ground_station_spatm.setText(str(lat_gst))\r\n self.long_ground_station_spatm.setText(str(long_gst))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif item == 'rcp':\r\n type = 'Reception Setup Files (*.rcp)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\r\n f)\r\n f.close()\r\n self.ant_size_reception_spatm.setText(str(ant_size))\r\n self.ant_eff_reception_spatm.setText(str(ant_eff))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.lat_ground_station_spatm.clear()\r\n self.long_ground_station_spatm.clear()\r\n self.ant_size_reception_spatm.clear()\r\n self.ant_eff_reception_spatm.clear()\r\n\r\n elif item == 'sat':\r\n type = 'Sat Files (*.sat)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\r\n f)\r\n f.close()\r\n self.long_sat_spatm.setText(str(long_sat))\r\n self.freq_sat_spatm.setText(str(freq))\r\n index = self.pol_sat_sp_perf.findText(str(pol), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.pol_sat_spatm.setCurrentIndex(index)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n def load_save_single_point_perf(self, opt, item):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n\r\n if item == 'gst':\r\n type = 'Ground Station Files (*.gst)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.gst'\r\n try:\r\n name_grst = str(self.name_ground_station_sp_perf.text())\r\n lat_gst = float(self.lat_ground_station_sp_perf.text())\r\n long_gst = float(self.long_ground_station_sp_perf.text())\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_grst, lat_gst, long_gst], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_grst, lat_gst, long_gst = pickle.load(f)\r\n f.close()\r\n self.name_ground_station_sp_perf.setText(str(name_grst))\r\n self.lat_ground_station_sp_perf.setText(str(lat_gst))\r\n self.long_ground_station_sp_perf.setText(str(long_gst))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_ground_station_sp_perf.clear()\r\n self.lat_ground_station_sp_perf.clear()\r\n self.long_ground_station_sp_perf.clear()\r\n\r\n elif item == 'sat':\r\n type = 'Sat Files (*.sat)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.sat'\r\n try:\r\n name_sat = str(self.name_sat_sp_perf.text())\r\n long_sat = float(self.long_sat_sp_perf.text())\r\n height_sat = float(self.height_sat_sp_perf.text())\r\n freq = float(self.freq_sat_sp_perf.text())\r\n eirp_sat = float(self.eirp_sat_sp_perf.text())\r\n max_bw_sat = float(self.max_bw_sat_sp_perf.text())\r\n bw_util = float(self.bw_util_sat_sp_perf.text())\r\n rolloff_sat = float(self.rolloff_sat_sp_perf.text())\r\n modulation = str(self.modcod_sat_sp_perf.currentText())\r\n pol = str(self.pol_sat_sp_perf.currentText())\r\n\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\r\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\r\n f)\r\n f.close()\r\n self.name_sat_sp_perf.setText(str(name_sat))\r\n self.long_sat_sp_perf.setText(str(long_sat))\r\n self.height_sat_sp_perf.setText(str(height_sat))\r\n self.freq_sat_sp_perf.setText(str(freq))\r\n self.eirp_sat_sp_perf.setText(str(eirp_sat))\r\n self.max_bw_sat_sp_perf.setText(str(max_bw_sat))\r\n self.bw_util_sat_sp_perf.setText(str(bw_util))\r\n self.rolloff_sat_sp_perf.setText(str(rolloff_sat))\r\n index = self.pol_sat_sp_perf.findText(str(pol), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.pol_sat_sp_perf.setCurrentIndex(index)\r\n index = self.modcod_sat_sp_perf.findText(str(modulation), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.modcod_sat_sp_perf.setCurrentIndex(index)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_sat_sp_perf.clear()\r\n self.long_sat_sp_perf.clear()\r\n self.height_sat_sp_perf.clear()\r\n self.freq_sat_sp_perf.clear()\r\n self.eirp_sat_sp_perf.clear()\r\n self.max_bw_sat_sp_perf.clear()\r\n self.bw_util_sat_sp_perf.clear()\r\n self.rolloff_sat_sp_perf.clear()\r\n self.pol_sat_sp_perf.setCurrentIndex(0)\r\n self.modcod_sat_sp_perf.setCurrentIndex(0)\r\n\r\n elif item == 'rcp':\r\n type = 'Reception Setup Files (*.rcp)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.rcp'\r\n try:\r\n name_rcp = str(self.name_reception_sp_perf.text())\r\n ant_size = float(self.ant_size_reception_sp_perf.text())\r\n ant_eff = float(self.ant_eff_reception_sp_perf.text())\r\n lnb_gain = float(self.lnb_gain_reception_sp_perf.text())\r\n lnb_temp = float(self.lnb_temp_reception_sp_perf.text())\r\n aditional_losses = float(self.aditional_losses_reception_sp_perf.text())\r\n cable_loss = float(self.cable_loss_reception_sp_perf.text())\r\n max_depoint = float(self.max_depoint_reception_sp_perf.text())\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump(\r\n [name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss,\r\n max_depoint], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\r\n f)\r\n f.close()\r\n self.name_reception_sp_perf.setText(str(name_rcp))\r\n self.ant_size_reception_sp_perf.setText(str(ant_size))\r\n self.ant_eff_reception_sp_perf.setText(str(ant_eff))\r\n self.lnb_gain_reception_sp_perf.setText(str(lnb_gain))\r\n self.lnb_temp_reception_sp_perf.setText(str(lnb_temp))\r\n self.aditional_losses_reception_sp_perf.setText(str(aditional_losses))\r\n self.cable_loss_reception_sp_perf.setText(str(cable_loss))\r\n self.max_depoint_reception_sp_perf.setText(str(max_depoint))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_reception_sp_perf.clear()\r\n self.ant_size_reception_sp_perf.clear()\r\n self.ant_eff_reception_sp_perf.clear()\r\n self.lnb_gain_reception_sp_perf.clear()\r\n self.lnb_temp_reception_sp_perf.clear()\r\n self.aditional_losses_reception_sp_perf.clear()\r\n self.cable_loss_reception_sp_perf.clear()\r\n self.max_depoint_reception_sp_perf.clear()\r\n\r\n def load_save_multi_point_perf(self, opt, item):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n\r\n if item == 'sat':\r\n type = 'Sat Files (*.sat)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.sat'\r\n try:\r\n name_sat = str(self.name_sat_mp_perf.text())\r\n long_sat = float(self.long_sat_mp_perf.text())\r\n height_sat = float(self.height_sat_mp_perf.text())\r\n freq = float(self.freq_sat_mp_perf.text())\r\n eirp_sat = float(self.eirp_sat_mp_perf.text())\r\n max_bw_sat = float(self.max_bw_sat_mp_perf.text())\r\n bw_util = float(self.bw_util_sat_mp_perf.text())\r\n rolloff_sat = float(self.rolloff_sat_mp_perf.text())\r\n modulation = str(self.modcod_sat_mp_perf.currentText())\r\n pol = str(self.pol_sat_mp_perf.currentText())\r\n\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\r\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\r\n f)\r\n f.close()\r\n self.name_sat_mp_perf.setText(str(name_sat))\r\n self.long_sat_mp_perf.setText(str(long_sat))\r\n self.height_sat_mp_perf.setText(str(height_sat))\r\n self.freq_sat_mp_perf.setText(str(freq))\r\n self.eirp_sat_mp_perf.setText(str(eirp_sat))\r\n self.max_bw_sat_mp_perf.setText(str(max_bw_sat))\r\n self.bw_util_sat_mp_perf.setText(str(bw_util))\r\n self.rolloff_sat_mp_perf.setText(str(rolloff_sat))\r\n index = self.pol_sat_mp_perf.findText(str(pol), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.pol_sat_mp_perf.setCurrentIndex(index)\r\n index = self.modcod_sat_mp_perf.findText(str(modulation), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.modcod_sat_mp_perf.setCurrentIndex(index)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_sat_mp_perf.clear()\r\n self.long_sat_mp_perf.clear()\r\n self.height_sat_mp_perf.clear()\r\n self.freq_sat_mp_perf.clear()\r\n self.eirp_sat_mp_perf.clear()\r\n self.max_bw_sat_mp_perf.clear()\r\n self.bw_util_sat_mp_perf.clear()\r\n self.rolloff_sat_mp_perf.clear()\r\n self.pol_sat_mp_perf.setCurrentIndex(0)\r\n self.modcod_sat_mp_perf.setCurrentIndex(0)\r\n\r\n elif item == 'rcp':\r\n type = 'Reception Setup Files (*.rcp)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.rcp'\r\n try:\r\n name_rcp = str(self.name_reception_mp_perf.text())\r\n ant_size = float(self.ant_size_reception_mp_perf.text())\r\n ant_eff = float(self.ant_eff_reception_mp_perf.text())\r\n lnb_gain = float(self.lnb_gain_reception_mp_perf.text())\r\n lnb_temp = float(self.lnb_temp_reception_mp_perf.text())\r\n aditional_losses = float(self.aditional_losses_reception_mp_perf.text())\r\n cable_loss = float(self.cable_loss_reception_mp_perf.text())\r\n max_depoint = float(self.max_depoint_reception_mp_perf.text())\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump(\r\n [name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss,\r\n max_depoint], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\r\n f)\r\n f.close()\r\n self.name_reception_mp_perf.setText(str(name_rcp))\r\n self.ant_size_reception_mp_perf.setText(str(ant_size))\r\n self.ant_eff_reception_mp_perf.setText(str(ant_eff))\r\n self.lnb_gain_reception_mp_perf.setText(str(lnb_gain))\r\n self.lnb_temp_reception_mp_perf.setText(str(lnb_temp))\r\n self.aditional_losses_reception_mp_perf.setText(str(aditional_losses))\r\n self.cable_loss_reception_mp_perf.setText(str(cable_loss))\r\n self.max_depoint_reception_mp_perf.setText(str(max_depoint))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_reception_mp_perf.clear()\r\n self.ant_size_reception_mp_perf.clear()\r\n self.ant_eff_reception_mp_perf.clear()\r\n self.lnb_gain_reception_mp_perf.clear()\r\n self.lnb_temp_reception_mp_perf.clear()\r\n self.aditional_losses_reception_sp_perf.clear()\r\n self.cable_loss_reception_mp_perf.clear()\r\n self.max_depoint_reception_mp_perf.clear()\r\n\r\n def load_save_single_point_ant_size(self, opt, item):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n\r\n if item == 'gst':\r\n type = 'Ground Station Files (*.gst)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.gst'\r\n try:\r\n name_grst = str(self.name_ground_station_sp_ant_size.text())\r\n lat_gst = float(self.lat_ground_station_sp_ant_size.text())\r\n long_gst = float(self.long_ground_station_sp_ant_size.text())\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_grst, lat_gst, long_gst], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_grst, lat_gst, long_gst = pickle.load(f)\r\n f.close()\r\n self.name_ground_station_sp_ant_size.setText(str(name_grst))\r\n self.lat_ground_station_sp_ant_size.setText(str(lat_gst))\r\n self.long_ground_station_sp_ant_size.setText(str(long_gst))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_ground_station_sp_ant_size.clear()\r\n self.lat_ground_station_sp_ant_size.clear()\r\n self.long_ground_station_sp_ant_size.clear()\r\n\r\n elif item == 'sat':\r\n type = 'Sat Files (*.sat)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.sat'\r\n try:\r\n name_sat = str(self.name_sat_sp_ant_size.text())\r\n long_sat = float(self.long_sat_sp_ant_size.text())\r\n height_sat = float(self.height_sat_sp_ant_size.text())\r\n freq = float(self.freq_sat_sp_ant_size.text())\r\n eirp_sat = float(self.eirp_sat_sp_ant_size.text())\r\n max_bw_sat = float(self.max_bw_sat_sp_ant_size.text())\r\n bw_util = float(self.bw_util_sat_sp_ant_size.text())\r\n rolloff_sat = float(self.rolloff_sat_sp_ant_size.text())\r\n modulation = str(self.modcod_sat_sp_ant_size.currentText())\r\n pol = str(self.pol_sat_sp_ant_size.currentText())\r\n\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\r\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\r\n f)\r\n f.close()\r\n self.name_sat_sp_ant_size.setText(str(name_sat))\r\n self.long_sat_sp_ant_size.setText(str(long_sat))\r\n self.height_sat_sp_ant_size.setText(str(height_sat))\r\n self.freq_sat_sp_ant_size.setText(str(freq))\r\n self.eirp_sat_sp_ant_size.setText(str(eirp_sat))\r\n self.max_bw_sat_sp_ant_size.setText(str(max_bw_sat))\r\n self.bw_util_sat_sp_ant_size.setText(str(bw_util))\r\n self.rolloff_sat_sp_ant_size.setText(str(rolloff_sat))\r\n index = self.pol_sat_sp_ant_size.findText(str(pol), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.pol_sat_sp_ant_size.setCurrentIndex(index)\r\n index = self.modcod_sat_sp_ant_size.findText(str(modulation), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.modcod_sat_sp_ant_size.setCurrentIndex(index)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_sat_sp_ant_size.clear()\r\n self.long_sat_sp_ant_size.clear()\r\n self.height_sat_sp_ant_size.clear()\r\n self.freq_sat_sp_ant_size.clear()\r\n self.eirp_sat_sp_ant_size.clear()\r\n self.max_bw_sat_sp_ant_size.clear()\r\n self.bw_util_sat_sp_ant_size.clear()\r\n self.rolloff_sat_sp_ant_size.clear()\r\n self.pol_sat_sp_ant_size.setCurrentIndex(0)\r\n self.modcod_sat_sp_ant_size.setCurrentIndex(0)\r\n\r\n elif item == 'rcp':\r\n type = 'Reception Setup Files (*.rcp)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\r\n f)\r\n f.close()\r\n self.name_reception_sp_ant_size.setText(str(name_rcp))\r\n self.ant_eff_reception_sp_ant_size.setText(str(ant_eff))\r\n self.lnb_gain_reception_sp_ant_size.setText(str(lnb_gain))\r\n self.lnb_temp_reception_sp_ant_size.setText(str(lnb_temp))\r\n self.aditional_losses_reception_sp_ant_size.setText(str(aditional_losses))\r\n self.cable_loss_reception_sp_ant_size.setText(str(cable_loss))\r\n self.max_depoint_reception_sp_ant_size.setText(str(max_depoint))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_reception_sp_ant_size.clear()\r\n self.ant_eff_reception_sp_ant_size.clear()\r\n self.lnb_gain_reception_sp_ant_size.clear()\r\n self.lnb_temp_reception_sp_ant_size.clear()\r\n self.aditional_losses_reception_sp_ant_size.clear()\r\n self.cable_loss_reception_sp_ant_size.clear()\r\n self.max_depoint_reception_sp_ant_size.clear()\r\n\r\n def load_save_multi_point_ant_size(self, opt, item):\r\n import pickle\r\n import os\r\n from file_dialog import open_dialog\r\n\r\n if item == 'sat':\r\n type = 'Sat Files (*.sat)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n if opt == 'save':\r\n if folder != '':\r\n folder = folder + '.sat'\r\n try:\r\n name_sat = str(self.name_sat_mp_ant_size.text())\r\n long_sat = float(self.long_sat_mp_ant_size.text())\r\n height_sat = float(self.height_sat_mp_ant_size.text())\r\n freq = float(self.freq_sat_mp_ant_size.text())\r\n eirp_sat = float(self.eirp_sat_mp_ant_size.text())\r\n max_bw_sat = float(self.max_bw_sat_mp_ant_size.text())\r\n bw_util = float(self.bw_util_sat_mp_ant_size.text())\r\n rolloff_sat = float(self.rolloff_sat_mp_ant_size.text())\r\n modulation = str(self.modcod_sat_mp_ant_size.currentText())\r\n pol = str(self.pol_sat_mp_ant_size.currentText())\r\n\r\n except:\r\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\r\n return\r\n\r\n with open(folder, 'wb') as f:\r\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\r\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\r\n f.close()\r\n\r\n if os.path.exists('temp\\\\save.pkl'):\r\n os.remove('temp\\\\save.pkl')\r\n\r\n elif opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\r\n f)\r\n f.close()\r\n self.name_sat_mp_ant_size.setText(str(name_sat))\r\n self.long_sat_mp_ant_size.setText(str(long_sat))\r\n self.height_sat_mp_ant_size.setText(str(height_sat))\r\n self.freq_sat_mp_ant_size.setText(str(freq))\r\n self.eirp_sat_mp_ant_size.setText(str(eirp_sat))\r\n self.max_bw_sat_mp_ant_size.setText(str(max_bw_sat))\r\n self.bw_util_sat_mp_ant_size.setText(str(bw_util))\r\n self.rolloff_sat_mp_ant_size.setText(str(rolloff_sat))\r\n index = self.pol_sat_mp_ant_size.findText(str(pol), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.pol_sat_mp_ant_size.setCurrentIndex(index)\r\n index = self.modcod_sat_mp_ant_size.findText(str(modulation), QtCore.Qt.MatchFixedString)\r\n if index >= 0:\r\n self.modcod_sat_mp_ant_size.setCurrentIndex(index)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_sat_mp_ant_size.clear()\r\n self.long_sat_mp_ant_size.clear()\r\n self.height_sat_mp_ant_size.clear()\r\n self.freq_sat_mp_ant_size.clear()\r\n self.eirp_sat_mp_ant_size.clear()\r\n self.max_bw_sat_mp_ant_size.clear()\r\n self.bw_util_sat_mp_ant_size.clear()\r\n self.rolloff_sat_mp_ant_size.clear()\r\n self.pol_sat_mp_ant_size.setCurrentIndex(0)\r\n self.modcod_sat_mp_ant_size.setCurrentIndex(0)\r\n\r\n elif item == 'rcp':\r\n type = 'Reception Setup Files (*.rcp)'\r\n if opt != 'clear':\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if opt == 'load':\r\n if folder != '':\r\n with open(folder, 'rb') as f:\r\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\r\n f)\r\n f.close()\r\n self.name_reception_mp_ant_size.setText(str(name_rcp))\r\n self.ant_eff_reception_mp_ant_size.setText(str(ant_eff))\r\n self.lnb_gain_reception_mp_ant_size.setText(str(lnb_gain))\r\n self.lnb_temp_reception_mp_ant_size.setText(str(lnb_temp))\r\n self.aditional_losses_reception_mp_ant_size.setText(str(aditional_losses))\r\n self.cable_loss_reception_mp_ant_size.setText(str(cable_loss))\r\n self.max_depoint_reception_mp_ant_size.setText(str(max_depoint))\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n elif opt == 'clear':\r\n self.name_reception_mp_ant_size.clear()\r\n self.ant_eff_reception_mp_ant_size.clear()\r\n self.lnb_gain_reception_mp_ant_size.clear()\r\n self.lnb_temp_reception_mp_ant_size.clear()\r\n self.aditional_losses_reception_mp_ant_size.clear()\r\n self.cable_loss_reception_mp_ant_size.clear()\r\n self.max_depoint_reception_mp_ant_size.clear()\r\n\r\n def load_point_list(self, preview_window, path_box):\r\n from file_dialog import open_dialog\r\n import pandas as pd\r\n import pickle\r\n\r\n opt = 'load'\r\n type = 'Comma-separated values (*.csv)'\r\n open_dialog(opt, type)\r\n\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n # print(folder)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n preview_window.setColumnCount(4)\r\n preview_window.setRowCount(10)\r\n\r\n preview_window.setHorizontalHeaderLabels(['Name', 'Lat', 'Long', 'Delta Footprint'])\r\n\r\n # self.preview_mp_perf.setColumnCount(4)\r\n # self.preview_mp_perf.setRowCount(10)\r\n #\r\n # self.preview_mp_perf.setHorizontalHeaderLabels(['Name', 'Lat', 'Long', 'Delta Footprint'])\r\n\r\n if folder != '':\r\n path_box.setText(str(folder))\r\n data = pd.read_csv(folder, sep=';')\r\n # print(folder)\r\n for index, row in data.iterrows():\r\n\r\n preview_window.setItem(index, 0, QtWidgets.QTableWidgetItem(str(row['Name'])))\r\n preview_window.setItem(index, 1, QtWidgets.QTableWidgetItem(str(row['Lat'])))\r\n preview_window.setItem(index, 2, QtWidgets.QTableWidgetItem(str(row['Long'])))\r\n if 'Delta Footprint' in data.columns: # check in case Delta Footprint is not used\r\n preview_window.setItem(index, 3, QtWidgets.QTableWidgetItem(str(row['Delta Footprint'])))\r\n else:\r\n preview_window.setItem(index, 3, QtWidgets.QTableWidgetItem('0'))\r\n if index == 9:\r\n break\r\n\r\n preview_window.setAlternatingRowColors(True)\r\n preview_window.horizontalHeader().setSectionResizeMode(QtWidgets.QHeaderView.Stretch)\r\n\r\n preview_window.setSizeAdjustPolicy(QtWidgets.QAbstractScrollArea.AdjustToContents)\r\n preview_window.setSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)\r\n\r\n if os.path.exists('temp\\\\load.pkl'):\r\n os.remove('temp\\\\load.pkl')\r\n\r\n return\r\n\r\n # def on_combobox_changed(self, x):\r\n # if x == 1:\r\n # modcod = str(self.modcod_sat.currentText())\r\n # elif x == 2:\r\n # modcod = str(self.modcod_sat_sp_perf.currentText())\r\n # elif x == 3:\r\n # modcod = str(self.modcod_sat_mp_perf.currentText())\r\n\r\n def update_label(self, index):\r\n import os\r\n\r\n if os.path.exists('temp\\\\out.txt'):\r\n with open(\"temp\\\\out.txt\", \"r\") as myfile:\r\n # data = myfile.read()\r\n\r\n if index == 1:\r\n data = myfile.read()\r\n if len(data) == 0:\r\n data = ' '\r\n self.output_spatm.setText(data)\r\n\r\n if index == 2:\r\n data = myfile.read()\r\n if len(data) == 0:\r\n data = ' '\r\n self.output_sp_perf.setText(data)\r\n\r\n if index == 3 or index == 4:\r\n data = myfile.readlines()\r\n if len(data) != 0:\r\n del data[:-1]\r\n else:\r\n data = ' '\r\n self.output_mp_perf.setText(data[0])\r\n self.output_mp_ant_size.setText(data[0])\r\n # self.output_sp_perf_2.moveCursor(QtGui.QTextCursor.End)\r\n else:\r\n return\r\n\r\n def change_page(self, x, page_name):\r\n self.stackedWidget.setCurrentIndex(x)\r\n MainWindow.setWindowTitle(page_name)\r\n\r\n def single_point_atm_atnn_calc(self):\r\n from atm_atnn import calc_atm_atnn\r\n\r\n try:\r\n p = float(self.p_year_spatm.text())\r\n site_lat = float(self.lat_ground_station_spatm.text())\r\n site_long = float(self.long_ground_station_spatm.text())\r\n ant_size = float(self.ant_size_reception_spatm.text())\r\n ant_eff = float(self.ant_eff_reception_spatm.text())\r\n sat_long = float(self.long_sat_spatm.text())\r\n freq = float(self.freq_sat_spatm.text())\r\n method = str(self.method_spatm.currentText())\r\n\r\n import pickle\r\n\r\n with open('temp\\\\args.pkl', 'wb') as f:\r\n pickle.dump([p, site_lat, site_long, ant_size, ant_eff, sat_long, freq, method], f)\r\n f.close()\r\n self.threadpool = QtCore.QThreadPool()\r\n self.threadpool.start(calc_atm_atnn)\r\n self.threadpool.waitForDone()\r\n self.update_label(1)\r\n return\r\n\r\n except:\r\n self.output_spatm.setText('Please fill all the fields before running!!!')\r\n\r\n def single_point_calc_perf(self):\r\n from link_performance import sp_link_performance\r\n import pickle\r\n try:\r\n # ground station parameters\r\n site_lat = float(self.lat_ground_station_sp_perf.text())\r\n site_long = float(self.long_ground_station_sp_perf.text())\r\n\r\n # #satellite parameters\r\n sat_long = float(self.long_sat_sp_perf.text())\r\n freq = float(self.freq_sat_sp_perf.text())\r\n sat_height = float(self.height_sat_sp_perf.text())\r\n max_eirp = float(self.eirp_sat_sp_perf.text())\r\n max_bw = float(self.max_bw_sat_sp_perf.text())\r\n bw_util = float(self.bw_util_sat_sp_perf.text())\r\n roll_off = float(self.rolloff_sat_sp_perf.text())\r\n modcod = str(self.modcod_sat_sp_perf.currentText())\r\n pol = str(self.pol_sat_sp_perf.currentText())\r\n\r\n # #reception parameters\r\n\r\n ant_size = float(self.ant_size_reception_sp_perf.text())\r\n ant_eff = float(self.ant_eff_reception_sp_perf.text())\r\n lnb_gain = float(self.lnb_gain_reception_sp_perf.text())\r\n lnb_temp = float(self.lnb_temp_reception_sp_perf.text())\r\n aditional_losses = float(self.aditional_losses_reception_sp_perf.text())\r\n cable_loss = float(self.cable_loss_reception_sp_perf.text())\r\n max_depoint = float(self.max_depoint_reception_sp_perf.text())\r\n\r\n # #calculation parameters\r\n snr_relaxation = float(self.relaxation_sp_perf.text())\r\n margin = float(self.margin_sp_perf.text())\r\n\r\n with open('temp\\\\args.pkl', 'wb') as f:\r\n pickle.dump(\r\n [site_lat, site_long, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\r\n modcod, pol, roll_off, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses,\r\n cable_loss, max_depoint, snr_relaxation, margin], f)\r\n f.close()\r\n except:\r\n self.output_sp_perf.setText('Please fill all the fields before running!!!')\r\n return\r\n\r\n self.output_sp_perf.setText('Starting ....')\r\n\r\n self.threadpool = QtCore.QThreadPool()\r\n self.threadpool.start(sp_link_performance)\r\n self.threadpool.waitForDone()\r\n self.update_label(2)\r\n return\r\n\r\n def multi_point_calc_perf(self):\r\n from link_performance import mp_link_performance\r\n import pickle\r\n try:\r\n\r\n # ground station points path\r\n gr_station_path = str(self.path_mp_perf.text())\r\n\r\n # #satellite parameters\r\n sat_long = float(self.long_sat_mp_perf.text())\r\n freq = float(self.freq_sat_mp_perf.text())\r\n sat_height = float(self.height_sat_mp_perf.text())\r\n max_eirp = float(self.eirp_sat_mp_perf.text())\r\n max_bw = float(self.max_bw_sat_mp_perf.text())\r\n bw_util = float(self.bw_util_sat_mp_perf.text())\r\n roll_off = float(self.rolloff_sat_mp_perf.text())\r\n modcod = str(self.modcod_sat_mp_perf.currentText())\r\n pol = str(self.pol_sat_mp_perf.currentText())\r\n\r\n # #reception parameters\r\n\r\n ant_size = float(self.ant_size_reception_mp_perf.text())\r\n ant_eff = float(self.ant_eff_reception_mp_perf.text())\r\n lnb_gain = float(self.lnb_gain_reception_mp_perf.text())\r\n lnb_temp = float(self.lnb_temp_reception_mp_perf.text())\r\n aditional_losses = float(self.aditional_losses_reception_mp_perf.text())\r\n cable_loss = float(self.cable_loss_reception_mp_perf.text())\r\n max_depoint = float(self.max_depoint_reception_mp_perf.text())\r\n\r\n # #calculation parameters\r\n # snr_relaxation = float(self.relaxation_mp_perf.text())\r\n snr_relaxation = float(self.relaxation_mp_perf.text())\r\n margin = float(self.margin_mp_perf.text())\r\n threads = int(self.n_threads_mp_perf.currentText())\r\n\r\n with open('temp\\\\args.pkl', 'wb') as f:\r\n pickle.dump(\r\n [gr_station_path, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\r\n modcod, pol, roll_off, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses,\r\n cable_loss, max_depoint, snr_relaxation, margin, threads], f)\r\n f.close()\r\n except:\r\n self.output_sp_perf.setText('Please fill all the fields before running!!!')\r\n return\r\n\r\n self.threadpool = QtCore.QThreadPool()\r\n self.threadpool.start(mp_link_performance)\r\n\r\n # self.threadtimer = QtCore.QTimer()\r\n # self.threadtimer.timeout.connect(lambda x=self.threadpool.activeThreadCount(): self.kill_threadpoll(x))\r\n # self.threadtimer.start(3000) # milliseconds\r\n\r\n # while self.threadpool.activeThreadCount() != 0:\r\n # print(self.threadpool.activeThreadCount())\r\n # self.threadpool.waitForDone()\r\n # self._update_timer.stop()\r\n return\r\n\r\n def single_point_ant_size(self):\r\n from antenna_size import sp_ant_size\r\n import matplotlib.pyplot as plt\r\n import numpy as np\r\n import pickle\r\n\r\n try:\r\n # ground station parameters\r\n site_lat = float(self.lat_ground_station_sp_ant_size.text())\r\n site_long = float(self.long_ground_station_sp_ant_size.text())\r\n\r\n # #satellite parameters\r\n sat_long = float(self.long_sat_sp_ant_size.text())\r\n freq = float(self.freq_sat_sp_ant_size.text())\r\n sat_height = float(self.height_sat_sp_ant_size.text())\r\n max_eirp = float(self.eirp_sat_sp_ant_size.text())\r\n max_bw = float(self.max_bw_sat_sp_ant_size.text())\r\n bw_util = float(self.bw_util_sat_sp_ant_size.text())\r\n roll_off = float(self.rolloff_sat_sp_ant_size.text())\r\n modcod = str(self.modcod_sat_sp_ant_size.currentText())\r\n pol = str(self.pol_sat_sp_ant_size.currentText())\r\n\r\n # #reception parameters\r\n ant_eff = float(self.ant_eff_reception_sp_ant_size.text())\r\n lnb_gain = float(self.lnb_gain_reception_sp_ant_size.text())\r\n lnb_temp = float(self.lnb_temp_reception_sp_ant_size.text())\r\n aditional_losses = float(self.aditional_losses_reception_sp_ant_size.text())\r\n cable_loss = float(self.cable_loss_reception_sp_ant_size.text())\r\n max_depoint = float(self.max_depoint_reception_sp_ant_size.text())\r\n\r\n # #calculation parameters\r\n max_ant_size = float(self.ant_max_size_sp_ant_size.text())\r\n min_ant_size = float(self.ant_min_size_sp_ant_size.text())\r\n margin = float(self.margin_sp_ant_size.text())\r\n\r\n with open('temp\\\\args.pkl', 'wb') as f:\r\n pickle.dump(\r\n [site_lat, site_long, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\r\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\r\n cable_loss, max_depoint, max_ant_size, min_ant_size, margin, self.cores], f)\r\n f.close()\r\n except:\r\n self.output_sp_perf.setText('Please fill all the fields before running!!!')\r\n return\r\n\r\n self.output_sp_ant_size.setText('Running...')\r\n self.threadpool = QtCore.QThreadPool()\r\n self.threadpool.start(sp_ant_size)\r\n self.threadpool.waitForDone()\r\n\r\n with open('temp\\\\args.pkl', 'rb') as f:\r\n (ant_size_vector, ant_size_vector_interp, availability_vector, availability_vector_interp) = pickle.load(f)\r\n f.close()\r\n\r\n output = 'RESULTS \\n' \\\r\n 'Antenna size (m)\\tAvailability(%)\\n'\r\n\r\n for ant_size, availability in zip(ant_size_vector, availability_vector):\r\n output += (str(round(ant_size,1)) + '\\t\\t' + str(availability) + '\\n')\r\n\r\n self.output_sp_ant_size.setText(output)\r\n\r\n\r\n # ploting the availability/ unavailability time graphs\r\n fig, (ax1, ax2) = plt.subplots(2)\r\n fig.suptitle('Antenna Size x Year availability')\r\n # fig.canvas.set_window_title(self.name_ground_station_sp_ant_size.text())\r\n fig.canvas.manager.set_window_title(self.name_ground_station_sp_ant_size.text())\r\n unavailability_time_vector = (1 - np.array(availability_vector) / 100) * 8760\r\n ax1.plot(ant_size_vector, availability_vector)\r\n ax2.plot(ant_size_vector, unavailability_time_vector)\r\n plt.setp(ax1, ylabel='Availability (%year)')\r\n plt.setp(ax2, xlabel='Antenna size')\r\n plt.setp(ax2, ylabel='Unavailability (hours/year)')\r\n fig.savefig('temp\\\\fig.png')\r\n\r\n plt.show()\r\n\r\n return\r\n\r\n def multi_point_ant_size(self):\r\n from antenna_size import mp_ant_size\r\n import pickle\r\n\r\n try:\r\n\r\n # ground station points path\r\n gr_station_path = str(self.path_mp_ant_size.text())\r\n\r\n # #satellite parameters\r\n sat_long = float(self.long_sat_mp_ant_size.text())\r\n freq = float(self.freq_sat_mp_ant_size.text())\r\n sat_height = float(self.height_sat_mp_ant_size.text())\r\n max_eirp = float(self.eirp_sat_mp_ant_size.text())\r\n max_bw = float(self.max_bw_sat_mp_ant_size.text())\r\n bw_util = float(self.bw_util_sat_mp_ant_size.text())\r\n roll_off = float(self.rolloff_sat_mp_ant_size.text())\r\n modcod = str(self.modcod_sat_mp_ant_size.currentText())\r\n pol = str(self.pol_sat_mp_ant_size.currentText())\r\n\r\n # #reception parameters\r\n\r\n ant_eff = float(self.ant_eff_reception_mp_ant_size.text())\r\n lnb_gain = float(self.lnb_gain_reception_mp_ant_size.text())\r\n lnb_temp = float(self.lnb_temp_reception_mp_ant_size.text())\r\n aditional_losses = float(self.aditional_losses_reception_mp_ant_size.text())\r\n cable_loss = float(self.cable_loss_reception_mp_ant_size.text())\r\n max_depoint = float(self.max_depoint_reception_mp_ant_size.text())\r\n\r\n # #calculation parameters\r\n availability_target = float(self.availability_target_mp_ant_size.text())\r\n snr_relaxation = float(self.relaxation_mp_ant_size.text())\r\n margin = float(self.margin_mp_ant_size.text())\r\n threads = int(self.n_threads_mp_ant_size.currentText())\r\n\r\n with open('temp\\\\args.pkl', 'wb') as f:\r\n pickle.dump(\r\n [gr_station_path, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\r\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\r\n cable_loss, max_depoint, availability_target, snr_relaxation, margin, threads], f)\r\n f.close()\r\n except:\r\n self.output_mp_ant_size.setText('Please fill all the fields before running!!!')\r\n return\r\n\r\n self.threadpool = QtCore.QThreadPool()\r\n self.threadpool.start(mp_ant_size)\r\n return\r\n\r\n def export_graph(self):\r\n import pickle\r\n from file_dialog import open_dialog\r\n from PIL import Image\r\n # open a file dialog and make it saves an png figure\r\n type = 'Portable Graphics Format(PNG) (*.png)'\r\n opt = 'save'\r\n open_dialog(opt, type)\r\n try:\r\n with open('temp\\\\' + opt + '.pkl', 'rb') as f:\r\n folder = pickle.load(f)\r\n f.close()\r\n except:\r\n folder = ''\r\n\r\n if folder != '':\r\n img = Image.open('temp\\\\fig.png')\r\n print(folder)\r\n # display(img)\r\n img.save(folder + '.png')\r\n\r\n def retranslateUi(self, MainWindow):\r\n _translate = QtCore.QCoreApplication.translate\r\n MainWindow.setWindowTitle(_translate(\"MainWindow\", \"SatLink\"))\r\n self.groupBox_9.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_31.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_54.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat.setItemText(1, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat.setItemText(2, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat.setItemText(3, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat.setItemText(4, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_55.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_56.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_59.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_60.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_61.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_64.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_65.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.label_66.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_7.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_2.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_3.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_gdstation.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_gdstation.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_gdstation.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_3.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_19.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_20.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_21.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_rcp.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_rcp.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_23.setText(_translate(\"MainWindow\", \"Antenna efficiency (%)\"))\r\n self.label_24.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_25.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_26.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_rcp.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_62.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.groupBox_12.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_38.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_69.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_2.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_2.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_2.setItemText(1, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_2.setItemText(2, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_2.setItemText(3, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_2.setItemText(4, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_70.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_78.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_79.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_91.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_92.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_93.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_94.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_2.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_2.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_2.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_95.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_17.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_3.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_3.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_3.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_2.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_2.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_18.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_22.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_39.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_gdstation_2.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_gdstation_2.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_gdstation_2.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_13.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_96.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_97.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_98.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_rcp_2.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_rcp_5.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_99.setText(_translate(\"MainWindow\", \"Antenna efficiency (%)\"))\r\n self.label_100.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_101.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_102.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_rcp_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_103.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.groupBox_14.setTitle(_translate(\"MainWindow\", \"Reception\"))\r\n self.label_104.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_105.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.label_106.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_107.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.clear_reception_rcp_4.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.load_reception_rcp_6.setText(_translate(\"MainWindow\", \"Load Ground Station\"))\r\n self.load_reception_rcp_7.setText(_translate(\"MainWindow\", \"Load Reception\"))\r\n self.calc_spatm_2.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.groupBox_15.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_108.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_109.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n # self.default_sat_sp_perf_4.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_perf_4.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_perf_4.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_perf_4.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_110.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.pol_sat_4.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_4.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_4.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.label_111.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.load_reception_rcp_8.setText(_translate(\"MainWindow\", \"Load Satellite\"))\r\n self.p_year_spatm_2.setStatusTip(_translate(\"MainWindow\", \"Values between 0.001 and 0.5\"))\r\n self.p_year_spatm_2.setText(_translate(\"MainWindow\", \"0.001\"))\r\n self.label_112.setText(_translate(\"MainWindow\", \"Excess % of time per year\"))\r\n self.label_113.setText(_translate(\"MainWindow\", \"Method\"))\r\n self.method_spatm_2.setStatusTip(_translate(\"MainWindow\", \"Mode calculation for gaseous attenuation\"))\r\n self.method_spatm_2.setItemText(0, _translate(\"MainWindow\", \"approx\"))\r\n self.method_spatm_2.setItemText(1, _translate(\"MainWindow\", \"exact\"))\r\n self.groupBox_16.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_114.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_115.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_116.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_sp_ant_size.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_sp_ant_size.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_sp_ant_size.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_17.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_117.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_118.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_sp_ant_size.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_sp_ant_size.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_sp_ant_size.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_ant_size.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_ant_size.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_ant_size.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_119.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_120.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_121.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_122.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_123.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_124.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_125.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.label_126.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_127.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_sp_ant_size.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_sp_ant_size.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_sp_ant_size.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_sp_ant_size.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_18.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_128.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_130.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_sp_ant_size.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_sp_ant_size.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_131.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_132.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_133.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_134.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_sp_ant_size.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_135.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.calc_sp_ant_size.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.margin_sp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.margin_sp_ant_size.setText(_translate(\"MainWindow\", \"0\"))\r\n self.label_174.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.groupBox_41.setTitle(_translate(\"MainWindow\", \"Simulation ipunts and result\"))\r\n self.ant_max_size_sp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Maximun antenna size to be considered in calculations\"))\r\n self.ant_max_size_sp_ant_size.setText(_translate(\"MainWindow\", \"6\"))\r\n self.label_323.setText(_translate(\"MainWindow\", \"Ant. min size (m)\"))\r\n self.ant_min_size_sp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Minimum antenna size to be considered in calculations\"))\r\n self.ant_min_size_sp_ant_size.setText(_translate(\"MainWindow\", \"0.4\"))\r\n self.label_313.setText(_translate(\"MainWindow\", \"Ant. max size (m)\"))\r\n self.label_136.setText(_translate(\"MainWindow\", \"*availability values lower than 60% will be disconsidered\"))\r\n self.export_result_sp_ant_size.setText(_translate(\"MainWindow\", \"Export graph\"))\r\n self.browse_path_mp_perf_2.setStatusTip(_translate(\"MainWindow\", \"Browse list\"))\r\n self.browse_path_mp_perf_2.setText(_translate(\"MainWindow\", \"Browse\"))\r\n self.label_137.setText(_translate(\"MainWindow\", \"Path\"))\r\n self.label_138.setText(_translate(\"MainWindow\", \"List Preview\"))\r\n self.groupBox_19.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_139.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_140.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_mp_perf_2.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_mp_perf_2.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_mp_perf_2.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_mp_perf_2.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_mp_perf_2.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_mp_perf_2.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_141.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_142.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_143.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_144.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_145.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_146.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_147.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_mp_perf_2.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_mp_perf_2.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_mp_perf_2.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_148.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_149.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_mp_perf_2.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_mp_perf_2.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_mp_perf_2.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_satellite_mp_perf_2.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_20.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_150.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_151.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_152.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_mp_perf_2.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_mp_perf_2.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_153.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_154.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_155.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_156.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_mp_perf_2.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_157.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.relaxation_mp_perf_2.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_mp_perf_2.setText(_translate(\"MainWindow\", \"0.2\"))\r\n self.calc_mp_perf_2.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_158.setText(_translate(\"MainWindow\", \"SNR goal relaxation (dB)\"))\r\n self.label_159.setText(_translate(\"MainWindow\", \"Threads\"))\r\n self.n_threads_2.setStatusTip(_translate(\"MainWindow\", \"Thread number used in calcullations\"))\r\n self.label_160.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.margin_mp_perf_2.setStatusTip(_translate(\"MainWindow\", \"Effective link budget margin\"))\r\n self.margin_mp_perf_2.setText(_translate(\"MainWindow\", \"0\"))\r\n self.groupBox_21.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_161.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_162.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_3.setItemText(1, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_3.setItemText(2, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_3.setItemText(3, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_3.setItemText(4, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_163.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_164.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_165.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_166.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_167.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_168.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_169.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_3.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_3.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_3.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_170.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_171.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_5.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_5.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_5.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_22.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_172.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_175.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_176.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_gdstation_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_gdstation_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_gdstation_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_23.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_177.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_178.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_179.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_rcp_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_rcp_9.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_180.setText(_translate(\"MainWindow\", \"Antenna efficiency (%)\"))\r\n self.label_181.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_182.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_183.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_rcp_5.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_184.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.groupBox_24.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_186.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_187.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_4.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_4.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_4.setItemText(1, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_4.setItemText(2, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_4.setItemText(3, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_4.setItemText(4, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_188.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_189.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_190.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_191.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_192.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_193.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_194.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_4.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_4.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_4.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_195.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_196.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_6.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_6.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_6.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_4.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_25.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_197.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_198.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_199.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_gdstation_4.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_gdstation_4.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_gdstation_4.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_26.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_200.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_201.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_202.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_rcp_4.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_rcp_10.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_203.setText(_translate(\"MainWindow\", \"Antenna efficiency (%)\"))\r\n self.label_204.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_205.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_206.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_rcp_6.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_207.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.groupBox_27.setTitle(_translate(\"MainWindow\", \"Reception\"))\r\n self.label_208.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_209.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.label_210.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_211.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.clear_reception_rcp_7.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.load_reception_rcp_11.setText(_translate(\"MainWindow\", \"Load Ground Station\"))\r\n self.load_reception_rcp_12.setText(_translate(\"MainWindow\", \"Load Reception\"))\r\n self.calc_spatm_3.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.groupBox_28.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_212.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_213.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n # self.default_sat_sp_perf_5.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_perf_5.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_perf_5.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_perf_5.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_214.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.pol_sat_7.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_7.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_7.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.label_215.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.load_reception_rcp_13.setText(_translate(\"MainWindow\", \"Load Satellite\"))\r\n self.p_year_spatm_3.setStatusTip(_translate(\"MainWindow\", \"Values between 0.001 and 0.5\"))\r\n self.p_year_spatm_3.setText(_translate(\"MainWindow\", \"0.001\"))\r\n self.label_216.setText(_translate(\"MainWindow\", \"Excess % of time per year\"))\r\n self.label_217.setText(_translate(\"MainWindow\", \"Method\"))\r\n self.method_spatm_3.setStatusTip(_translate(\"MainWindow\", \"Mode calculation for gaseous attenuation\"))\r\n self.method_spatm_3.setItemText(0, _translate(\"MainWindow\", \"approx\"))\r\n self.method_spatm_3.setItemText(1, _translate(\"MainWindow\", \"exact\"))\r\n self.groupBox_29.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_218.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_219.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_220.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_sp_perf_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_sp_perf_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_sp_perf_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_30.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_221.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_222.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_sp_perf_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_sp_perf_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_sp_perf_6.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_perf_6.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_perf_6.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_perf_6.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_223.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_224.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_225.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_226.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_227.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_228.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_229.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_sp_perf_3.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_sp_perf_3.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_sp_perf_3.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_230.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_231.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_sp_perf_3.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_sp_perf_3.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_sp_perf_3.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_sp_perf_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_31.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_232.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_233.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_sp_perf_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_sp_perf_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_234.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_235.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_236.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_237.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_sp_perf_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_238.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.calc_sp_perf_3.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_239.setText(_translate(\"MainWindow\", \"SNR goal relaxation (dB)\"))\r\n self.relaxation_sp_perf_3.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_sp_perf_3.setText(_translate(\"MainWindow\", \"0.2\"))\r\n self.margin_sp_perf_3.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.margin_sp_perf_3.setText(_translate(\"MainWindow\", \"0\"))\r\n self.label_240.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.browse_path_mp_perf_3.setStatusTip(_translate(\"MainWindow\", \"Browse list\"))\r\n self.browse_path_mp_perf_3.setText(_translate(\"MainWindow\", \"Browse\"))\r\n self.label_241.setText(_translate(\"MainWindow\", \"Path\"))\r\n self.label_242.setText(_translate(\"MainWindow\", \"List Preview\"))\r\n self.groupBox_32.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_243.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_244.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_mp_perf_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_mp_perf_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_mp_perf_3.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_mp_perf_3.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_mp_perf_3.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_mp_perf_3.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_245.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_246.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_247.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_248.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_249.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_250.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_251.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_mp_perf_3.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_mp_perf_3.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_mp_perf_3.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_252.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_253.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_mp_perf_3.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_mp_perf_3.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_mp_perf_3.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_satellite_mp_perf_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_33.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_254.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_255.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_256.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_mp_perf_3.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_mp_perf_3.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_257.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_258.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_259.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_260.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_mp_perf_3.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_261.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.relaxation_mp_perf_3.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_mp_perf_3.setText(_translate(\"MainWindow\", \"0.2\"))\r\n self.calc_mp_perf_3.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_262.setText(_translate(\"MainWindow\", \"SNR goal relaxation (dB)\"))\r\n self.label_263.setText(_translate(\"MainWindow\", \"Threads\"))\r\n self.n_threads_3.setStatusTip(_translate(\"MainWindow\", \"Thread number used in calcullations\"))\r\n self.label_264.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.margin_mp_perf_3.setStatusTip(_translate(\"MainWindow\", \"Effective link budget margin\"))\r\n self.margin_mp_perf_3.setText(_translate(\"MainWindow\", \"0\"))\r\n self.groupBox_34.setTitle(_translate(\"MainWindow\", \"Reception\"))\r\n self.label_265.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_266.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.label_267.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_268.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.clear_reception_rcp_8.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.load_reception_rcp_14.setText(_translate(\"MainWindow\", \"Load Ground Station\"))\r\n self.load_reception_rcp_15.setText(_translate(\"MainWindow\", \"Load Reception\"))\r\n self.calc_spatm_4.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.groupBox_35.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_269.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_270.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n # self.default_sat_sp_perf_7.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_perf_7.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_perf_7.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_perf_7.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_271.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.pol_sat_8.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_8.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_8.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.label_272.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.load_reception_rcp_16.setText(_translate(\"MainWindow\", \"Load Satellite\"))\r\n self.p_year_spatm_4.setStatusTip(_translate(\"MainWindow\", \"Values between 0.001 and 0.5\"))\r\n self.p_year_spatm_4.setText(_translate(\"MainWindow\", \"0.001\"))\r\n self.label_273.setText(_translate(\"MainWindow\", \"Excess % of time per year\"))\r\n self.label_274.setText(_translate(\"MainWindow\", \"Method\"))\r\n self.method_spatm_4.setStatusTip(_translate(\"MainWindow\", \"Mode calculation for gaseous attenuation\"))\r\n self.method_spatm_4.setItemText(0, _translate(\"MainWindow\", \"approx\"))\r\n self.method_spatm_4.setItemText(1, _translate(\"MainWindow\", \"exact\"))\r\n self.groupBox_36.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_275.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_276.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_277.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_sp_perf_4.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_sp_perf_4.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_sp_perf_4.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_37.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_278.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_279.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_sp_perf_4.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_sp_perf_4.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_sp_perf_8.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_perf_8.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_perf_8.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_perf_8.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_280.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_281.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_282.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_283.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_284.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_285.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_286.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.modcod_sat_sp_perf_4.setItemText(0, _translate(\"MainWindow\", \"QPSK 2/3\"))\r\n self.modcod_sat_sp_perf_4.setItemText(1, _translate(\"MainWindow\", \"8PSK 30/33\"))\r\n self.modcod_sat_sp_perf_4.setItemText(2, _translate(\"MainWindow\", \"64 QAM\"))\r\n self.label_287.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_288.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_sp_perf_4.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_sp_perf_4.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_sp_perf_4.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_sp_perf_4.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_38.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_289.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_290.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_291.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_sp_perf_4.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_sp_perf_4.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_292.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_293.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_294.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_295.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_sp_perf_4.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_296.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.calc_sp_perf_4.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_297.setText(_translate(\"MainWindow\", \"SNR goal relaxation (dB)\"))\r\n self.relaxation_sp_perf_4.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_sp_perf_4.setText(_translate(\"MainWindow\", \"0.2\"))\r\n self.margin_sp_perf_4.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.margin_sp_perf_4.setText(_translate(\"MainWindow\", \"0\"))\r\n self.label_298.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.browse_mp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Browse list\"))\r\n self.browse_mp_ant_size.setText(_translate(\"MainWindow\", \"Browse\"))\r\n self.label_299.setText(_translate(\"MainWindow\", \"Path\"))\r\n self.label_300.setText(_translate(\"MainWindow\", \"List Preview\"))\r\n self.groupBox_39.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_301.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_302.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_mp_ant_size.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_mp_ant_size.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_mp_ant_size.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_mp_ant_size.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_mp_ant_size.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_mp_ant_size.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_303.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_304.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_305.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_306.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_307.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_308.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_309.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.label_310.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_311.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_mp_ant_size.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_mp_ant_size.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_mp_ant_size.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_mp_ant_size.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_40.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_312.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_314.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_mp_ant_size.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_mp_ant_size.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_315.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_316.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_317.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_318.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_mp_ant_size.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_319.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.relaxation_mp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_mp_ant_size.setText(_translate(\"MainWindow\", \"0.1\"))\r\n self.calc_mp_ant_size.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_320.setText(_translate(\"MainWindow\", \"SNR target relaxation (dB)\"))\r\n self.label_321.setText(_translate(\"MainWindow\", \"Threads\"))\r\n self.n_threads_mp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Thread number used in calcullations\"))\r\n self.label_322.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.margin_mp_ant_size.setStatusTip(_translate(\"MainWindow\", \"Effective link budget margin\"))\r\n self.margin_mp_ant_size.setText(_translate(\"MainWindow\", \"0\"))\r\n self.label_324.setText(_translate(\"MainWindow\", \"Availability target\"))\r\n self.availability_target_mp_ant_size.setText(_translate(\"MainWindow\", \"99.999\"))\r\n self.groupBox_7.setTitle(_translate(\"MainWindow\", \"Reception\"))\r\n self.label_51.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_50.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.label_53.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_68.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.clear_reception_spatm.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.load_ground_station_spatm.setText(_translate(\"MainWindow\", \"Load Ground Station\"))\r\n self.load_reception_spatm.setText(_translate(\"MainWindow\", \"Load Reception\"))\r\n self.calc_spatm.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.groupBox_8.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_52.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_57.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n # self.default_sat_spatm.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_spatm.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_spatm.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_spatm.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_63.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.pol_sat_spatm.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_spatm.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_spatm.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.label_8.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.load_sat_spatm.setText(_translate(\"MainWindow\", \"Load Satellite\"))\r\n self.p_year_spatm.setStatusTip(_translate(\"MainWindow\", \"Values between 0.001 and 0.5\"))\r\n self.p_year_spatm.setText(_translate(\"MainWindow\", \"0.001\"))\r\n self.label_58.setText(_translate(\"MainWindow\", \"Excess % of time per year\"))\r\n self.label_9.setText(_translate(\"MainWindow\", \"Method\"))\r\n self.method_spatm.setStatusTip(_translate(\"MainWindow\", \"Mode calculation for gaseous attenuation\"))\r\n self.method_spatm.setItemText(0, _translate(\"MainWindow\", \"approx\"))\r\n self.method_spatm.setItemText(1, _translate(\"MainWindow\", \"exact\"))\r\n self.groupBox_4.setTitle(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.label_27.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_28.setText(_translate(\"MainWindow\", \"Latitude (degrees)\"))\r\n self.label_29.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_ground_station_sp_perf.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_ground_station_sp_perf.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.clear_ground_station_sp_perf.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_5.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_30.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_32.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_sp_perf.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_sp_perf.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_sp_perf.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_sp_perf.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_sp_perf.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_sp_perf.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_33.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_34.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_35.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_36.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_37.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_40.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_41.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.label_42.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_6.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_sp_perf.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_sp_perf.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_sp_perf.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_sat_sp_perf.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_6.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_43.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_44.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_45.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_sp_perf.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_sp_perf.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_46.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_47.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_48.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_49.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_sp_perf.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_67.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.calc_sp_perf.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_4.setText(_translate(\"MainWindow\", \"SNR target relaxation (dB)\"))\r\n self.relaxation_sp_perf.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_sp_perf.setText(_translate(\"MainWindow\", \"0.1\"))\r\n self.margin_sp_perf.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.margin_sp_perf.setText(_translate(\"MainWindow\", \"0\"))\r\n self.label_173.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.browse_path_mp_perf.setStatusTip(_translate(\"MainWindow\", \"Browse list\"))\r\n self.browse_path_mp_perf.setText(_translate(\"MainWindow\", \"Browse\"))\r\n self.label_10.setText(_translate(\"MainWindow\", \"Path\"))\r\n self.label_11.setText(_translate(\"MainWindow\", \"List Preview\"))\r\n self.groupBox_10.setTitle(_translate(\"MainWindow\", \"Satellite\"))\r\n self.label_71.setText(_translate(\"MainWindow\", \"Name\"))\r\n self.label_72.setText(_translate(\"MainWindow\", \"Longitude (degrees)\"))\r\n self.save_sat_mp_perf.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_sat_mp_perf.setText(_translate(\"MainWindow\", \"Load\"))\r\n # self.default_sat_mp_perf.setItemText(0, _translate(\"MainWindow\", \"StarOne C2/C4\"))\r\n # self.default_sat_mp_perf.setItemText(1, _translate(\"MainWindow\", \"Hispamar\"))\r\n # self.default_sat_mp_perf.setItemText(2, _translate(\"MainWindow\", \"Claro\"))\r\n # self.default_sat_mp_perf.setItemText(3, _translate(\"MainWindow\", \"Menino Ney\"))\r\n self.label_73.setText(_translate(\"MainWindow\", \"Default Satellites\"))\r\n self.label_74.setText(_translate(\"MainWindow\", \"Altitude (km)\"))\r\n self.label_75.setText(_translate(\"MainWindow\", \"E.I.R.P. (dBW)\"))\r\n self.label_76.setText(_translate(\"MainWindow\", \"Transpoder\\'s max.\\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_77.setText(_translate(\"MainWindow\", \"Effective \\n\"\r\n\"bandwidith (MHz)\"))\r\n self.label_80.setText(_translate(\"MainWindow\", \"Roll-off\"))\r\n self.label_81.setText(_translate(\"MainWindow\", \"Modulation\"))\r\n self.label_82.setText(_translate(\"MainWindow\", \"Frequency (GHz)\"))\r\n self.label_12.setText(_translate(\"MainWindow\", \"Polarization\"))\r\n self.pol_sat_mp_perf.setItemText(0, _translate(\"MainWindow\", \"horizontal\"))\r\n self.pol_sat_mp_perf.setItemText(1, _translate(\"MainWindow\", \"vertical\"))\r\n self.pol_sat_mp_perf.setItemText(2, _translate(\"MainWindow\", \"circular\"))\r\n self.clear_satellite_mp_perf.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.groupBox_11.setTitle(_translate(\"MainWindow\", \"Reception Characteristics\"))\r\n self.label_83.setText(_translate(\"MainWindow\", \"Name:\"))\r\n self.label_84.setText(_translate(\"MainWindow\", \"Antenna size (m)\"))\r\n self.label_85.setText(_translate(\"MainWindow\", \"LNB gain (dB)\"))\r\n self.save_reception_mp_perf.setText(_translate(\"MainWindow\", \"Save\"))\r\n self.load_reception_mp_perf.setText(_translate(\"MainWindow\", \"Load\"))\r\n self.label_86.setText(_translate(\"MainWindow\", \"Antenna efficiency\"))\r\n self.label_87.setText(_translate(\"MainWindow\", \"LNB noise temp. (K)\"))\r\n self.label_88.setText(_translate(\"MainWindow\", \"Additional losses (dB)\"))\r\n self.label_89.setText(_translate(\"MainWindow\", \"Maximum \\n\"\r\n\"depointing (degrees)\"))\r\n self.clear_reception_mp_perf.setText(_translate(\"MainWindow\", \"Clear\"))\r\n self.label_90.setText(_translate(\"MainWindow\", \"Cable loss (dB)\"))\r\n self.relaxation_mp_perf.setStatusTip(_translate(\"MainWindow\", \"Goal (+ -) margin to achieve the required SNR\"))\r\n self.relaxation_mp_perf.setText(_translate(\"MainWindow\", \"0.1\"))\r\n self.calc_mp_perf.setText(_translate(\"MainWindow\", \"Calculate\"))\r\n self.label_14.setText(_translate(\"MainWindow\", \"SNR target relaxation (dB)\"))\r\n self.label_15.setText(_translate(\"MainWindow\", \"Threads\"))\r\n self.n_threads_mp_perf.setStatusTip(_translate(\"MainWindow\", \"Thread number used in calcullations\"))\r\n self.label_16.setText(_translate(\"MainWindow\", \"Margin (dB)\"))\r\n self.margin_mp_perf.setStatusTip(_translate(\"MainWindow\", \"Effective link budget margin\"))\r\n self.margin_mp_perf.setText(_translate(\"MainWindow\", \"0\"))\r\n self.menuNew.setTitle(_translate(\"MainWindow\", \"File\"))\r\n self.menuCalculation.setTitle(_translate(\"MainWindow\", \"Single Point Calculation\"))\r\n self.menuList_Calculation.setTitle(_translate(\"MainWindow\", \"List Calculation\"))\r\n self.menuHelp.setTitle(_translate(\"MainWindow\", \"Help\"))\r\n self.action_New_Satellite.setText(_translate(\"MainWindow\", \"Satellite\"))\r\n self.action_New_Satellite.setStatusTip(_translate(\"MainWindow\", \"Define and save a new satellite to use in calculations\"))\r\n self.actionReception.setText(_translate(\"MainWindow\", \"Reception\"))\r\n self.actionReception.setStatusTip(_translate(\"MainWindow\", \"Define and save new reception characteristics to use in calculations\"))\r\n self.action_New_Ground_Station.setText(_translate(\"MainWindow\", \"Ground Station\"))\r\n self.action_New_Ground_Station.setStatusTip(_translate(\"MainWindow\", \"Define and save a new ground station to use in calculations\"))\r\n self.action_Single_Atmospheric_Atenuation.setText(_translate(\"MainWindow\", \"Atmospheric Atenuation\"))\r\n self.action_Single_Atmospheric_Atenuation.setStatusTip(_translate(\"MainWindow\", \"Complete single point atmospheric attenuation calculation\"))\r\n self.action_Single_Downlink_Performance.setText(_translate(\"MainWindow\", \"Downlink Performance\"))\r\n self.action_Single_Downlink_Performance.setStatusTip(_translate(\"MainWindow\", \"Complete single point downlink performance calculation\"))\r\n self.action_List_Downlink_Performance.setText(_translate(\"MainWindow\", \"Downlink Performance\"))\r\n self.action_List_Downlink_Performance.setStatusTip(_translate(\"MainWindow\", \"Complete multi point (list) downlink performance calculation\"))\r\n self.action_Single_Antenna_Size.setText(_translate(\"MainWindow\", \"Antenna Size\"))\r\n self.action_Single_Antenna_Size.setStatusTip(_translate(\"MainWindow\", \"Single point downlink antenna diameter extimation\"))\r\n self.action_List_Antenna_Size.setText(_translate(\"MainWindow\", \"Antenna Size\"))\r\n self.action_List_Antenna_Size.setStatusTip(_translate(\"MainWindow\", \"Multi point (list) downlink antenna diameter extimation\"))\r\n\r\n\r\nif __name__ == \"__main__\":\r\n import sys, os, glob\r\n if not os.path.exists('results'):\r\n os.makedirs('results')\r\n if not os.path.exists('temp'):\r\n os.makedirs('temp')\r\n files = glob.glob('temp/*')\r\n for f in files:\r\n os.remove(f)\r\n os.environ[\"QT_AUTO_SCREEN_SCALE_FACTOR\"] = '1'\r\n QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling, True) # enable high dpi scaling\r\n QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_UseHighDpiPixmaps, True) # use high dpi icons\r\n app = QtWidgets.QApplication(sys.argv)\r\n MainWindow = QtWidgets.QMainWindow()\r\n ui = Ui_MainWindow()\r\n ui.setupUi(MainWindow)\r\n thread = QtCore.QThread(MainWindow.show())\r\n thread.start()\r\n sys.exit(app.exec_())\r\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5815789699554443,\n \"alphanum_fraction\": 0.6013157963752747,\n \"avg_line_length\": 28.93877601623535,\n \"blob_id\": \"4542f7436b28cdec271b192e68f1efec5febb73d\",\n \"content_id\": \"47b7d3a9e41c682e591a70a16ea860be53d9a2d6\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1520,\n \"license_type\": \"permissive\",\n \"max_line_length\": 78,\n \"num_lines\": 49,\n \"path\": \"/models/util.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\r\\nimport math\\r\\n\\r\\n\\r\\n# def curve_interpolation(x, interp, name_c1, c1, name_c2, c2):\\r\\n# c1_interp = np.interp(x, c1.index, c1)\\r\\n# c2_interp = np.interp(x, c2.index, c2)\\r\\n# delta_curve = abs(name_c1 - name_c2)\\r\\n# delta_y = abs(c1_interp - c2_interp)\\r\\n#\\r\\n# if c1_interp < c2_interp:\\r\\n# delta_val = interp - name_c1\\r\\n# interpolated_point = c1_interp + delta_y * (delta_val / delta_curve)\\r\\n# elif c1_interp > c2_interp:\\r\\n# delta_val = interp - name_c2\\r\\n# interpolated_point = c2_interp + delta_y * (delta_val / delta_curve)\\r\\n# else:\\r\\n# return c2_interp\\r\\n#\\r\\n# return interpolated_point\\r\\n\\r\\ndef truncate(number, decimals=0):\\r\\n \\\"\\\"\\\"\\r\\n Returns a value truncated to a specific number of decimal places.\\r\\n \\\"\\\"\\\"\\r\\n if not isinstance(decimals, int):\\r\\n raise TypeError(\\\"decimal places must be an integer.\\\")\\r\\n elif decimals < 0:\\r\\n raise ValueError(\\\"decimal places has to be 0 or more.\\\")\\r\\n elif decimals == 0:\\r\\n return math.trunc(number)\\r\\n\\r\\n factor = 10.0 ** decimals\\r\\n return math.trunc(number * factor) / factor\\r\\n\\r\\n\\r\\n\\r\\ndef curve_interpolation(x, interp, data):\\r\\n to_be_fitedx = []\\r\\n to_be_fitedy = []\\r\\n for i in data.columns:\\r\\n curve_interpol = np.interp(x, data.index.array, data[i].values)\\r\\n to_be_fitedx.append(float(i))\\r\\n to_be_fitedy.append(curve_interpol)\\r\\n\\r\\n intepolated_point = np.interp(interp, to_be_fitedx, to_be_fitedy)\\r\\n\\r\\n\\r\\n return intepolated_point\\r\\n\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.5333994626998901,\n \"alphanum_fraction\": 0.5569356083869934,\n \"avg_line_length\": 43.628570556640625,\n \"blob_id\": \"1cafdb7e6db7e238acdf8520cd68ca06e4e65c9f\",\n \"content_id\": \"840df9c30ce42e548f6b12c25b49b3efb609eca6\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 19163,\n \"license_type\": \"permissive\",\n \"max_line_length\": 128,\n \"num_lines\": 420,\n \"path\": \"/sat.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sys, warnings\\r\\nimport numpy as np\\r\\nimport pandas as pd\\r\\nimport itur\\r\\nfrom GrStat import GroundStation, Reception\\r\\nfrom models.FsAtt import FreeSpaceAtt as FsAtt\\r\\nimport astropy.units as u\\r\\nfrom models.util import truncate\\r\\n\\r\\n# class intended for calculation of parameters related to the geostationary satellite and his link to the ground station\\r\\n# can set the ground_station class and reception class to it and run all the functions\\r\\n# please be carefully with the p value when running availability calculations\\r\\n\\r\\nclass Satellite:\\r\\n # all lat/long parameters are in degrees when input or output variables\\r\\n\\r\\n def __init__(self, sat_long, freq, eirp_max=0, h_sat=35786, b_transp=36, b_util=36, back_off=0, contorno=0,\\r\\n modulation='', roll_off=None, fec=''):\\r\\n self.sat_long = np.radians(sat_long) # satellite longitude\\r\\n self.freq = freq # frequency, in GHz\\r\\n self.eirp_max = eirp_max # sattelite's eirp, in dBW\\r\\n self.h_sat = h_sat # satellite's height\\r\\n self.b_transp = b_transp # transponder's band, in GHz\\r\\n self.b_util = b_util # transponder's band that the carrier is using, in GHz\\r\\n self.back_off = back_off # transponder's back off ????????????????\\r\\n self.contorno = contorno # ver que diabos é isso aqui ????????????????\\r\\n # self.tech = tech # technology (DVB-S, S2, S2X)\\r\\n self.modulation = modulation # modulation name\\r\\n self.fec = fec # FEC\\r\\n self.roll_off = roll_off\\r\\n self.eirp = eirp_max - back_off - contorno + 10 * np.log10(b_util / b_transp)\\r\\n\\r\\n # not initialized parameters that will be calculated in the atmospheric attenuation function\\r\\n self.a_g = None # gaseous attenuation\\r\\n self.a_c = None # could attenuation\\r\\n self.a_r = None # rain attenuation\\r\\n self.a_s = None # citilation or tropospheric attenuation\\r\\n self.a_t = None # total atmospheric attenuation\\r\\n self.a_fs = None # free space attenuation\\r\\n self.a_x = None # cross-polar attenuation\\r\\n self.a_co = None # co-polar attenuation\\r\\n self.a_tot = None # total attenuation (atmospheric + free space)\\r\\n self.p = None # exceed percentage - just to store the attenuation inm reference to a p value\\r\\n\\r\\n # other parameters calculated in this class\\r\\n self.cross_pol_discrimination = None # attenuation due to depolarization effect\\r\\n self.power_flux_density = None # power flux density at earth station (W/m^2)\\r\\n self.antenna_noise_rain = None # antenna noise under rain conditions\\r\\n self.total_noise_temp = None # system's noise temperature (K)\\r\\n self.figure_of_merit = None # figure of merit - G/T\\r\\n self.c_over_n0 = None # calculated C/N\\r\\n self.snr = None # calculated SNR\\r\\n self.snr_threshold = None # SNR threshold for a specific\\r\\n self.availability = None # availability for a specific SNR threshold\\r\\n self.symbol_rate = None # symbolrate based on the bandwidth and roll off factor\\r\\n self.bitrate = None # bitrate based on the bandwidth and inforate efficiency\\r\\n\\r\\n # ground station and reception objects that can be set in the satellite class\\r\\n self.grstation = None # ground station object\\r\\n self.reception = None # reception object\\r\\n\\r\\n def set_grstation(self, grstation: GroundStation): # works as a way to used some variables from grstation\\r\\n self.grstation = grstation\\r\\n pass\\r\\n\\r\\n def set_reception(self, reception: Reception): # set the link's reception system\\r\\n reception.set_parameters(self.freq, self.get_elevation()) # parameters used in some functions in Reception\\r\\n self.reception = reception\\r\\n\\r\\n pass\\r\\n\\r\\n def get_elevation(self): # returns the elevation angle between satellite and ground station\\r\\n if self.grstation is None:\\r\\n sys.exit(\\r\\n 'Need to associate a ground station to a satellite first. Try satellite.set_grstation(GroundStation)!!!')\\r\\n\\r\\n site_lat = np.radians(self.grstation.site_lat)\\r\\n site_long = np.radians(self.grstation.site_long)\\r\\n E = np.arctan((np.cos(self.sat_long - site_long) * np.cos(site_lat) - 0.15116) /\\r\\n (np.sqrt(1 - (np.cos(self.sat_long - site_long) ** 2) * (np.cos(site_lat) ** 2))))\\r\\n\\r\\n return np.degrees(E)\\r\\n\\r\\n def get_azimuth(self): # returns the azimuth angle between satellite and ground station\\r\\n if self.grstation is None:\\r\\n sys.exit(\\r\\n 'Need to associate a ground station to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n\\r\\n site_lat = np.radians(self.grstation.site_lat)\\r\\n site_long = np.radians(self.grstation.site_long)\\r\\n azimuth = np.pi + np.arctan2(np.tan(self.sat_long - site_long), np.sin(site_lat))\\r\\n\\r\\n return np.degrees(azimuth)\\r\\n\\r\\n def get_distance(self): # returns the distance (km) between satellite and ground station\\r\\n if self.grstation is None:\\r\\n sys.exit(\\r\\n 'Need to associate a ground station to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n\\r\\n e = np.radians(self.get_elevation())\\r\\n earth_rad = self.grstation.get_earth_radius()\\r\\n dist = np.sqrt(((earth_rad + self.h_sat) ** 2) - ((earth_rad * np.cos(e)) ** 2)) - earth_rad * np.sin(e)\\r\\n return dist\\r\\n\\r\\n def get_reception_threshold(self): # returns the threshold for a given modulation scheme (modcod file)\\r\\n if self.modulation == '' or self.fec == '':\\r\\n sys.exit(\\r\\n 'You need to create a satellite class with a technology, modulation and FEC to use this function!!!')\\r\\n elif self.snr_threshold is not None:\\r\\n return self.snr_threshold\\r\\n\\r\\n data = pd.read_csv('models\\\\\\\\Modulation_dB.csv', sep=';')\\r\\n # line = data.loc[(data.Tech == self.tech) & (data.Modulation == self.modulation) & (data.FEC == self.fec)]\\r\\n line = data.loc[(data.Modulation == self.modulation) & (data.FEC == self.fec)]\\r\\n self.snr_threshold = line['C_over_N'].values[0]\\r\\n return self.snr_threshold\\r\\n\\r\\n def get_symbol_rate(self):\\r\\n if self.symbol_rate is not None:\\r\\n return self.symbol_rate\\r\\n if self.roll_off is None:\\r\\n sys.exit('You must define the roll off factor to calculate the symbol rate!!!')\\r\\n self.symbol_rate = self.b_util * 10 ** 6 / self.roll_off\\r\\n return self.symbol_rate\\r\\n\\r\\n def get_bitrate(self):\\r\\n if self.bitrate is not None:\\r\\n return self.bitrate\\r\\n if self.modulation == '' or self.fec == '':\\r\\n sys.exit(\\r\\n 'You need to create a satellite class with a technology, modulation and FEC to use this function!!!')\\r\\n data = pd.read_csv('models\\\\\\\\Modulation_dB.csv', sep=';')\\r\\n line = data.loc[(data.Modulation == self.modulation) & (data.FEC == self.fec)]\\r\\n self.bitrate = self.b_util * line['Inforate efficiency bps_Hz'].values[0]\\r\\n return self.bitrate\\r\\n\\r\\n def get_link_attenuation(self, p=0.001, method='approx'):\\r\\n if self.grstation is None:\\r\\n sys.exit(\\r\\n 'Need to associate a ground station to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n if self.reception is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n if self.p is None:\\r\\n self.p = 0.001\\r\\n p = 0.001\\r\\n if self.a_tot is not None and p == self.p:\\r\\n return self.a_fs, self.reception.get_depoint_loss(), self.a_g, self.a_c, self.a_r, self.a_s, self.a_t, self.a_tot\\r\\n else:\\r\\n freq = self.freq * u.GHz\\r\\n e = self.get_elevation()\\r\\n diam = self.reception.ant_size * u.m\\r\\n a_fs = FsAtt(self.get_distance(), self.freq)\\r\\n a_g, a_c, a_r, a_s, a_t = itur.atmospheric_attenuation_slant_path(\\r\\n self.grstation.site_lat, self.grstation.site_long, freq, e, p, diam, return_contributions=True, mode=method)\\r\\n a_tot = a_fs + self.reception.get_depoint_loss() + a_t.value\\r\\n\\r\\n self.a_g = a_g\\r\\n self.a_c = a_c\\r\\n self.a_r = a_r\\r\\n self.a_s = a_s\\r\\n self.a_t = a_t\\r\\n self.a_fs = a_fs\\r\\n self.a_tot = a_tot\\r\\n self.p = p\\r\\n\\r\\n # erasing the dependent variables that will use link atten. for different p value\\r\\n self.power_flux_density = None\\r\\n self.antenna_noise_rain = None\\r\\n self.total_noise_temp = None\\r\\n self.figure_of_merit = None\\r\\n self.c_over_n0 = None\\r\\n self.snr = None\\r\\n self.cross_pol_discrimination = None\\r\\n\\r\\n return a_fs, self.reception.get_depoint_loss(), a_g, a_c, a_r, a_s, a_t, a_tot\\r\\n\\r\\n def get_total_attenuation(self, p = None):\\r\\n self.a_fs = FsAtt(self.get_distance(), self.freq)\\r\\n xpd = self.get_cross_pol_discrimination()\\r\\n self.a_x = 10 * np.log10(1 + 10 ** (0.1 * xpd))\\r\\n self.a_co = 10 * np.log10(1 + 10 ** (0.1 * xpd))\\r\\n\\r\\n self.a_tot = self.a_fs + self.a_x + self.reception.get_depoint_loss() + self.a_t\\r\\n return self.a_tot, self.a_t, self.reception.get_depoint_loss(),\\r\\n\\r\\n def get_cross_pol_discrimination(self, p=None):\\r\\n if self.cross_pol_discrimination is not None and p == self.p:\\r\\n return self.cross_pol_discrimination\\r\\n\\r\\n if p is not None:\\r\\n _, _, _, _, a_r, _, _, _ = self.get_link_attenuation(p)\\r\\n else:\\r\\n _, _, _, _, a_r, _, _, _ = self.get_link_attenuation(self.p)\\r\\n\\r\\n a_r = a_r.value\\r\\n if self.freq < 8: # frequency in Ghz\\r\\n f = 10 # dummy frequency used to convert XPD calculations to frequencies below 8 GHz\\r\\n if self.freq < 4:\\r\\n warnings.warn(' XPD calculations are suited for frequencies above 4 GHz')\\r\\n else:\\r\\n f = self.freq\\r\\n if self.freq > 35:\\r\\n warnings.warn(' XPD calculations are suited for frequencies below 35 GHz')\\r\\n\\r\\n cf = 20 * np.log10(f)\\r\\n\\r\\n if 8 <= f <= 20:\\r\\n v = 12.8 * (f ** 0.19)\\r\\n else:\\r\\n v = 22.6\\r\\n\\r\\n ca = v * np.log10(a_r)\\r\\n\\r\\n tau = 45 # NOT FORGET TO MAKE THIS CHOOSABLE !!!!\\r\\n c_tau = -10 * np.log10(1 - 0.484 * (1 + np.cos(4 * np.radians(tau))))\\r\\n c_teta = -40 * np.log10(np.cos(np.radians(self.get_elevation())))\\r\\n\\r\\n # if 0.001 <= self.p < 0.01:\\r\\n # sigma = 15\\r\\n # elif 0.01 <= self.p < 0.1:\\r\\n # sigma = 10\\r\\n # elif 0.1 <= self.p < 1:\\r\\n # sigma = 5\\r\\n # else:\\r\\n # sigma = 0\\r\\n\\r\\n sigma = np.interp(self.p, [0.001, 0.01, 0.1, 1], [15, 10, 5, 0]) # interpolating the standard deviation of\\r\\n # raindrop inclination angle distribution from given values\\r\\n\\r\\n c_sigma = 0.0052 * sigma\\r\\n\\r\\n xpd_rain = cf - ca + c_tau + c_teta + c_sigma\\r\\n c_ice = xpd_rain * (0.3 + 0.1 * np.log10(self.p)) / 2\\r\\n xpd = xpd_rain - c_ice\\r\\n\\r\\n tau2 = tau #MAKE THIS ALSO CHOOSABLE !!!\\r\\n\\r\\n if self.freq < 8:\\r\\n xpd = (xpd_rain - 20 * np.log((self.freq * (1 + 0.484 * np.cos(4 * np.radians(tau2)))) ** 0.5) /\\r\\n (f * (1 - 0.484 * (1 + np.cos(4 * np.radians(tau)))) ** 0.5)) # RECHECK THIS EQUATION !!!\\r\\n\\r\\n self.a_x = 10 * np.log10(1 + 10 ** (0.1 * xpd))\\r\\n self.a_co = 10 * np.log10(1 + 10 ** (-0.1 * xpd))\\r\\n\\r\\n self.cross_pol_discrimination = xpd\\r\\n return self.cross_pol_discrimination, self.a_co, self.a_x\\r\\n\\r\\n def get_power_flux_density(self, p=None):\\r\\n if self.grstation is None:\\r\\n sys.exit('Need to associate a grd. station to a satellite first. Try Satellite.set_grstation(Station)!!!')\\r\\n elif self.reception is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try Satellite.set_reception(Reception)!!!')\\r\\n elif self.power_flux_density is not None and p == self.p:\\r\\n return self.power_flux_density\\r\\n\\r\\n if p is not None:\\r\\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(p)\\r\\n else:\\r\\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(self.p)\\r\\n\\r\\n a_t = a_t.value\\r\\n phi = (10 ** ((self.eirp - a_t)/10)) / (4 * np.pi * ((self.get_distance() * 1000 ) ** 2))\\r\\n\\r\\n self.power_flux_density = 10 * np.log10(phi)\\r\\n\\r\\n return self.power_flux_density\\r\\n\\r\\n def get_antenna_noise_rain(self, p=None):\\r\\n if self.reception is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n elif self.antenna_noise_rain is not None and self.p == p:\\r\\n return self.antenna_noise_rain\\r\\n\\r\\n if p is not None:\\r\\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(p)\\r\\n else:\\r\\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(self.p)\\r\\n Tm = 275\\r\\n a_t = 10 ** (a_t.value/10)\\r\\n self.antenna_noise_rain = self.reception.get_brightness_temp()/a_t + (Tm * (1-1/a_t)) + self.reception.get_ground_temp()\\r\\n return self.antenna_noise_rain\\r\\n\\r\\n def get_total_noise_temp(self, p=None):\\r\\n if self.freq is None or self.reception.e is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n elif self.total_noise_temp is not None and p == self.p:\\r\\n return self.total_noise_temp\\r\\n if p is not None:\\r\\n _, _, _, _, _, _, a_t, _ = self.get_link_attenuation(p)\\r\\n\\r\\n # self.total_noise_temp = (self.get_antenna_noise_rain() / (10 ** (self.reception.feeder_loss / 10))\\r\\n # + self.reception.feeder_noise_temp * (\\r\\n # 1 - 1 / (10 ** (self.reception.feeder_loss / 10))) + self.reception.lnbf_noise_temp)\\r\\n\\r\\n total_loss = self.reception.coupling_loss + self.reception.cable_loss\\r\\n loss = 10 ** (total_loss/10)\\r\\n t_loss = 290 * (loss - 1)\\r\\n self.total_noise_temp = self.get_antenna_noise_rain() +\\\\\\r\\n (self.reception.lnb_noise_temp + t_loss/(10 ** (self.reception.lnb_gain/10)))\\r\\n\\r\\n\\r\\n return self.total_noise_temp\\r\\n\\r\\n def get_figure_of_merit(self, p=None): # recommendation ITU BO790\\r\\n if self.figure_of_merit is not None:\\r\\n return self.figure_of_merit\\r\\n elif self.figure_of_merit is not None and p == self.p:\\r\\n return self.figure_of_merit\\r\\n if p is not None:\\r\\n _, _, _, _, _, _, _, _ = self.get_link_attenuation(p)\\r\\n\\r\\n # self.figure_of_merit = self.reception.get_antenna_gain() - \\\\\\r\\n # self.reception.get_depoint_loss() - self.reception.polarization_loss - \\\\\\r\\n # - self.reception.coupling_loss - self.reception.cable_loss - \\\\\\r\\n # 10 * np.log10(self.get_total_noise_temp())\\r\\n\\r\\n alfa = 10 ** ((self.reception.coupling_loss + self.reception.cable_loss)/10)\\r\\n beta = 10 ** (self.reception.get_depoint_loss()/10)\\r\\n gt = 10 ** (self.reception.get_antenna_gain()/10)\\r\\n ta = self.get_antenna_noise_rain()\\r\\n t0 = 290\\r\\n n = self.get_total_noise_temp()/t0 + 1\\r\\n\\r\\n self.figure_of_merit = 10* np.log10((alfa * beta * gt) / (alfa * ta + (1 - alfa) * t0 + (n - 1) * t0))\\r\\n\\r\\n return self.figure_of_merit\\r\\n\\r\\n def get_c_over_n0(self, p=None): # returns the C/N for the satellite link\\r\\n if self.reception is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n if self.eirp_max == 0:\\r\\n sys.exit('Please set the satellite\\\\'s E.I.R.P before running this!!!')\\r\\n if self.c_over_n0 is not None and self.p == p:\\r\\n return self.c_over_n0\\r\\n\\r\\n if p is not None:\\r\\n _, _, _, _, _, _, _, a_tot = self.get_link_attenuation(p)\\r\\n else:\\r\\n _, _, _, _, _, _, _, a_tot = self.get_link_attenuation(self.p)\\r\\n\\r\\n figure_of_merit = self.get_figure_of_merit()\\r\\n self.c_over_n0 = self.eirp - a_tot + figure_of_merit + 228.6\\r\\n\\r\\n self.snr = None # erasing the dependent variables that will use C/N0 for different p value\\r\\n return self.c_over_n0\\r\\n\\r\\n def get_snr(self, p=None):\\r\\n if p == self.p and self.snr is not None:\\r\\n return self.snr\\r\\n if p is not None:\\r\\n _, _, _, _, _, _, _, _ = self.get_link_attenuation(p)\\r\\n else:\\r\\n _, _, _, _, _, _, _, _ = self.get_link_attenuation(self.p)\\r\\n\\r\\n self.snr = self.get_c_over_n0(p) - 10 * np.log10(self.b_util * (10 ** 6))\\r\\n\\r\\n return self.snr\\r\\n\\r\\n # tris function is just a simple way to iterate over a convex optimization problem\\r\\n # its a option besides the recommended ITU-R BO.1696 methodology\\r\\n def get_availability(self, margin=0, relaxation=0.1):\\r\\n target = self.get_reception_threshold() + margin\\r\\n p = 0.0012\\r\\n speed = 0.000005\\r\\n speed_old = 0\\r\\n delta_old = 1000000000\\r\\n p_old = 10000000\\r\\n delta = self.get_snr(0.001) - target\\r\\n\\r\\n if delta >= 0:\\r\\n return 99.999\\r\\n\\r\\n for i in range(1, 5000):\\r\\n delta = abs(self.get_snr(p) - target)\\r\\n if delta < relaxation:\\r\\n self.availability = 100 - p\\r\\n return truncate(self.availability, 3)\\r\\n\\r\\n if delta_old < delta:\\r\\n if (abs(p_old - p) < 0.001) and (speed_old * speed < 1):\\r\\n self.availability = 100 - p\\r\\n return truncate(self.availability, 3)\\r\\n\\r\\n speed_old = speed\\r\\n speed = -1 * speed / 10\\r\\n p_old = p\\r\\n p += speed\\r\\n else:\\r\\n speed_old = speed\\r\\n speed = speed * 1.5\\r\\n p_old = p\\r\\n p += speed\\r\\n\\r\\n if p < 0.001:\\r\\n p_old = 100\\r\\n p = 0.001 + np.random.choice(np.arange(0.001, 0.002, 0.000005))\\r\\n speed_old = 1\\r\\n speed = 0.000005\\r\\n delta = abs(self.get_snr(p) - target)\\r\\n if p > 50:\\r\\n p_old = 100\\r\\n p = 50 - np.random.choice(np.arange(0.01, 2, 0.01))\\r\\n speed_old = 1\\r\\n speed = 0.000005\\r\\n\\r\\n # if speed > 2:\\r\\n # speed = 2\\r\\n # speed_old = 1\\r\\n\\r\\n delta_old = delta\\r\\n\\r\\n # if i % 500 == 0:\\r\\n # relaxation += 0.1\\r\\n\\r\\n sys.exit(\\r\\n 'Can\\\\'t reach the required SNR. You can change the modulation settings or the required snr relaxation!!!')\\r\\n\\r\\n def get_wm_availability(self): # get worst month availability - via ITU recommendation P.841-4\\r\\n if self.availability != None:\\r\\n self.wm_availability = 100 - (2.84 * (100 - self.availability) ** 0.87)\"\n },\n {\n \"alpha_fraction\": 0.47333332896232605,\n \"alphanum_fraction\": 0.5866666436195374,\n \"avg_line_length\": 19.428571701049805,\n \"blob_id\": \"4a0be79207293ca190160bf13cd72816b4b41d30\",\n \"content_id\": \"fd514a6546fafeee9b04ca5a033746980ee8ac87\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 150,\n \"license_type\": \"permissive\",\n \"max_line_length\": 54,\n \"num_lines\": 7,\n \"path\": \"/models/FsAtt.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from numpy import log10\\r\\n\\r\\ndef FreeSpaceAtt(d, f): #d em km e f em MHz\\r\\n\\r\\n AttFs = 32.4 + 20 * log10(d) + 20 * log10(f* 1000)\\r\\n\\r\\n return AttFs\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.6628674268722534,\n \"alphanum_fraction\": 0.6784642934799194,\n \"avg_line_length\": 40.177215576171875,\n \"blob_id\": \"9b5624af6b411c29016d022babbf0aa5dd115f5f\",\n \"content_id\": \"1693ba58e55821f04f89a4d5797043d2c8f0b609\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3334,\n \"license_type\": \"permissive\",\n \"max_line_length\": 112,\n \"num_lines\": 79,\n \"path\": \"/single_point_example.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from GrStat import GroundStation, Reception\\r\\nfrom sat import Satellite\\r\\nimport numpy as np\\r\\n\\r\\n# ground station parameters\\r\\nsite_lat = -3.7 # [decimal degrees]\\r\\nsite_long = -45.9 # [decimal degrees]\\r\\nstation = GroundStation(site_lat, site_long)\\r\\n\\r\\n# satellite parameters\\r\\nsat_long = -70 # [decimal degrees]\\r\\nfreq = 15 # [Ghz]\\r\\neirp = 54 # [dBW]\\r\\nhsat = 35800 # satellite's height [km]\\r\\ntau = 90 # H=0, V = 90, circ = 45\\r\\nb_transponder = 36 # transponder bandwidth [MHz]\\r\\nb_util = 9 # effective used bandwidth [MHz]\\r\\nbackoff = 0 # not used for now!\\r\\ncontour = 0 # not used for now!\\r\\nrolloff = 0.2 # roll-off factor (raised cosine filter)\\r\\nmod = '8PSK' # modulation (from modcod file)\\r\\nfec = '120/180' # FEC (from modcod file)\\r\\n\\r\\n# creating the satellite object\\r\\nsat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\\r\\n\\r\\nsat.set_grstation(station) # relating the ground station object to a satellite one\\r\\n\\r\\n# reception parameters\\r\\nant_size = 1.2 # reception antenna diameter [m]\\r\\nant_eff = 0.6 # reception antenna efficiency\\r\\ncoupling_loss = 0 # [dB]\\r\\npolarization_loss = 3 # [dB]\\r\\nlnb_gain = 55 # [dB]\\r\\nlnb_noise_temp = 20 # [dB]\\r\\ncable_loss = 4 # [dB]\\r\\nmax_depoint = 0.1 # maximum depointing angle [degrees]\\r\\n\\r\\n# creating a reception object\\r\\nreception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\\r\\n max_depoint)\\r\\n\\r\\nsat.set_reception(reception) # relating the ground station object to a satellite one\\r\\n\\r\\np = np.random.rand() # creating a random percentage for the calculations\\r\\nprint('choosen p (%): ', p)\\r\\n\\r\\na_fs, a_dep, a_g, a_c, a_r, a_s, a_t, a_tot = sat.get_link_attenuation(p)\\r\\n\\r\\n# displaying some reception parameters/variables\\r\\nprint('reception SNR threshold ',sat.get_reception_threshold())\\r\\n\\r\\nprint('coordinates\\\\' earth\\\\'s radius: ', sat.grstation.get_earth_radius(), ' km')\\r\\nprint('elevation angle: ', sat.get_elevation(), ' degrees')\\r\\nprint('link distance: ', sat.get_distance(), ' km')\\r\\nprint('figure of merit: ', sat.get_figure_of_merit())\\r\\nprint('brightness temperature of the ground: ', sat.reception.get_ground_temp(), ' K')\\r\\nprint('sky brightness temperature', sat.reception.get_brightness_temp(), ' K')\\r\\nprint('antenna noise temperature: ', sat.reception.get_antenna_noise_temp(), ' K')\\r\\nprint('total noise temperature: ', sat.get_total_noise_temp(), ' K')\\r\\nprint('Rx antenna gain: ', sat.reception.get_antenna_gain(), ' dBi')\\r\\nprint('Rx antenna half power beamwidth: ', sat.reception.get_beamwidth(), ' degrees')\\r\\n\\r\\n# displaying some link budget calculation results\\r\\n\\r\\nprint(\\\"gaseous attenuation: \\\", a_g, ' dB')\\r\\nprint(\\\"cloud attenuation: \\\", a_c, ' dB')\\r\\nprint(\\\"rain attenuation: \\\", a_r, ' dB')\\r\\nprint(\\\"scintillation attenuation: \\\", a_s, ' dB')\\r\\nprint(\\\"total atmospheric attenuation: \\\", a_t, ' dB')\\r\\nprint('free-space attenuation: ', a_fs, ' dB')\\r\\nprint('depointing loss: ', a_dep, ' dB')\\r\\nprint('atmospheric + free-space attenuation: ', a_tot, ' dB')\\r\\nprint('link C/N0: ', sat.get_c_over_n0(p), ' dB-Hz')\\r\\nprint('link SNR: ', sat.get_snr(p), ' dB')\\r\\n\\r\\n# availability example calculation (this does not uses the variable p)\\r\\n# actually, this changes p to achieve the target the modulation target SNR\\r\\nprint('example link availability', sat.get_availability())\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.7366666793823242,\n \"alphanum_fraction\": 0.7516666650772095,\n \"avg_line_length\": 38.13333511352539,\n \"blob_id\": \"6fb29b1909fb8a5fabfa3006aead797595ea0ce4\",\n \"content_id\": \"fb121de6a0c73d9c9d943bec734afe54829e9ead\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 600,\n \"license_type\": \"permissive\",\n \"max_line_length\": 128,\n \"num_lines\": 15,\n \"path\": \"/mkdocs/docs/contact.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Contacts\\r\\n\\r\\nAny new functionalities and improvements are welcome! Please report bugs as well. \\r\\n\\r\\nWant to collaborate? Please fell free to contact us!\\r\\n\\r\\nGithub: [https://github.com/cfragoas/Satlink](https://github.com/cfragoas/Satlink)\\r\\n\\r\\ne-mail: [christianfragoas@gmail.com](mailto:christianfragoas@gmail.com?subject=[GitHub]%20SatLink)\\r\\n\\r\\n[Linkedin](https://br.linkedin.com/in/christian-rodrigues-177a5024)\\r\\n\\r\\nTwitter: [https://twitter.com/cfragoas](https://twitter.com/cfragoas) (I only tweet in Portuguese, but fell free to message me!)\\r\\n\\r\\nPlease mind that Satlink is a side project and bugfixes and updates take time to implement.\"\n },\n {\n \"alpha_fraction\": 0.5712549090385437,\n \"alphanum_fraction\": 0.5907019376754761,\n \"avg_line_length\": 32.62105178833008,\n \"blob_id\": \"d47e8292a6f93813cd68defccb40d204e1d1abf2\",\n \"content_id\": \"20a057eec98bca2076618c0704f7f78b3f714c4d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3292,\n \"license_type\": \"permissive\",\n \"max_line_length\": 144,\n \"num_lines\": 95,\n \"path\": \"/multi_point_example.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\r\\nimport numpy as np\\r\\nfrom sat import Satellite\\r\\nfrom GrStat import GroundStation, Reception\\r\\nimport multiprocessing\\r\\nimport tqdm\\r\\nimport os\\r\\nimport datetime\\r\\n\\r\\n# this is a code example and very good approximation of the multi-point calculation used in link_performance.py\\r\\n\\r\\n\\r\\ndef point_availability(args): # function loop - return the availability to a given Lat/Long\\r\\n point = args[0]\\r\\n sat = args[1]\\r\\n reception = args[2]\\r\\n lat = point['Lat']\\r\\n long = point['Long']\\r\\n station = GroundStation(lat, long)\\r\\n sat.set_grstation(station)\\r\\n sat.set_reception(reception)\\r\\n point['availability'] = sat.get_availability()\\r\\n return point\\r\\n\\r\\n\\r\\nif __name__ == '__main__':\\r\\n\\r\\n # reading the input table\\r\\n location = 'input examples\\\\\\\\'\\r\\n file = 'list'\\r\\n point_list = pd.read_csv(location + file + '.csv', sep=';', encoding='latin1')\\r\\n point_list['availability'] = np.nan # creating an empty results column\\r\\n\\r\\n ##############################\\r\\n ### satellite parameters ###\\r\\n ##############################\\r\\n\\r\\n sat_long = -70 # [decimal degrees]\\r\\n freq = 18 # [Ghz]\\r\\n eirp = 54 # [dBW]\\r\\n hsat = 35800 # satellite's height [km]\\r\\n tau = 90 # H=0, V = 90, circ = 45\\r\\n b_transponder = 36 # transponder bandwidth [MHz]\\r\\n b_util = 9 # effective used bandwidth [MHz]\\r\\n backoff = 0 # not used for now!\\r\\n contour = 0 # not used for now!\\r\\n mod = '8PSK' # modulation (from modcod file)\\r\\n fec = '120/180' # FEC (from modcod file)\\r\\n rolloff = 0.2 # roll-off factor (raised cosine filter)\\r\\n\\r\\n # creating the satellite object\\r\\n sat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\\r\\n\\r\\n ##############################\\r\\n ### reception parameters ###\\r\\n ##############################\\r\\n ant_size = 1.2 # reception antenna diameter [m]\\r\\n ant_eff = 0.6 # reception antenna efficiency\\r\\n coupling_loss = 0 # [dB]\\r\\n polarization_loss = 3 # [dB]\\r\\n lnb_gain = 55 # [dB]\\r\\n lnb_noise_temp = 20 # temperatura de ruído do LNBF\\r\\n cable_loss = 4 # [dB]\\r\\n max_depoint = 0.1 # maximum depointing angle [degrees]\\r\\n\\r\\n # creating a reception object\\r\\n reception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\\r\\n max_depoint)\\r\\n\\r\\n cores = multiprocessing.cpu_count() - 2\\r\\n\\r\\n p = multiprocessing.Pool(processes=cores)\\r\\n\\r\\n # calculation loop\\r\\n\\r\\n data = list(\\r\\n tqdm.tqdm(p.imap_unordered(point_availability, [(city, sat, reception) for index, city in point_list.iterrows()]),\\r\\n total=len(point_list)))\\r\\n p.close()\\r\\n\\r\\n point_list.drop(point_list.index, inplace=True)\\r\\n point_list = point_list.append(data, ignore_index=True)\\r\\n point_list['unavailability time'] = round(((100 - point_list['availability'])/100) * 525600, 0) # calculating the unavailability in minutes\\r\\n\\r\\n\\r\\n # saving the results into a csv file\\r\\n\\r\\n path = 'results'\\r\\n if not os.path.exists(path):\\r\\n os.makedirs(path)\\r\\n\\r\\n point_list.to_csv(path + '\\\\\\\\' + 'results ' + datetime.datetime.now().strftime('%y-%m-%d_%H-%M-%S') + '.csv', sep=';',\\r\\n encoding='latin1')\\r\\n\\r\\n print('Complete!!!')\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.5763111114501953,\n \"alphanum_fraction\": 0.5966411232948303,\n \"avg_line_length\": 31.623762130737305,\n \"blob_id\": \"4decac54183e68a485488372d2c360efb59da661\",\n \"content_id\": \"389f2d4bbb832b76154ae974355c52c743279be8\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3394,\n \"license_type\": \"permissive\",\n \"max_line_length\": 118,\n \"num_lines\": 101,\n \"path\": \"/example_multi_point_ant_size.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from GrStat import GroundStation, Reception\\r\\nfrom sat import Satellite\\r\\nimport numpy as np\\r\\nimport multiprocessing\\r\\nimport pandas as pd\\r\\nimport tqdm\\r\\nimport time\\r\\n\\r\\n\\r\\ndef point_ant_size(args): # function loop - return the availability to a given Lat/Long\\r\\n min_ant_size = 0.5\\r\\n max_ant_size = 10\\r\\n step_ant_size = 0.2\\r\\n target_availability = 99.97\\r\\n\\r\\n point = args[0]\\r\\n sat = args[1]\\r\\n reception = args[2]\\r\\n lat = point['Lat']\\r\\n long = point['Long']\\r\\n station = GroundStation(lat, long)\\r\\n sat.set_grstation(station)\\r\\n sat.set_reception(reception)\\r\\n\\r\\n ant_size_vector = np.arange(min_ant_size, max_ant_size, step_ant_size)\\r\\n for ant_size in ant_size_vector:\\r\\n sat.reception.ant_size = ant_size\\r\\n # print(sat.get_availability())\\r\\n if sat.get_availability() >= target_availability:\\r\\n # print('ant_size ', ant_size)\\r\\n sat.reception.ant_size = ant_size - 0.1\\r\\n if sat.get_availability() >= target_availability:\\r\\n point['ant size'] = ant_size - 0.1\\r\\n else:\\r\\n point['ant size'] = ant_size\\r\\n break\\r\\n return point\\r\\n\\r\\n\\r\\nif __name__ == '__main__':\\r\\n\\r\\n # reading the input table\\r\\n location = 'input examples\\\\\\\\'\\r\\n file = 'list'\\r\\n point_list = pd.read_csv(location + file + '.csv', sep=';', encoding='latin1')\\r\\n point_list['ant size'] = np.nan # creating an empty results column\\r\\n\\r\\n # ground station parameters\\r\\n site_lat = -3.7 # [decimal degrees]\\r\\n site_long = -45.9 # [decimal degrees]\\r\\n station = GroundStation(site_lat, site_long)\\r\\n\\r\\n # satellite parameters\\r\\n sat_long = -70 # [decimal degrees]\\r\\n freq = 12 # [Ghz]\\r\\n eirp = 50 # [dBW]\\r\\n hsat = 35800 # satellite's height [km]\\r\\n tau = 90 # H=0, V = 90, circ = 45\\r\\n b_transponder = 36 # transponder bandwidth [MHz]\\r\\n b_util = 9 # effective used bandwidth [MHz]\\r\\n backoff = 0 # not used for now!\\r\\n contour = 0 # not used for now!\\r\\n rolloff = 0.2 # roll-off factor (raised cosine filter)\\r\\n mod = '8PSK' # modulation (from modcod file)\\r\\n fec = '120/180' # FEC (from modcod file)\\r\\n\\r\\n # creating the satellite object\\r\\n sat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\\r\\n\\r\\n # reception parameters\\r\\n ant_size = 1.2 # reception antenna diameter [m]\\r\\n ant_eff = 0.6 # reception antenna efficiency\\r\\n coupling_loss = 0 # [dB]\\r\\n polarization_loss = 3 # [dB]\\r\\n lnb_gain = 55 # [dB]\\r\\n lnb_noise_temp = 20 # [dB]\\r\\n cable_loss = 4 # [dB]\\r\\n max_depoint = 0.1 # maximum depointing angle [degrees]\\r\\n\\r\\n # creating a reception object\\r\\n reception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\\r\\n max_depoint)\\r\\n\\r\\n cores = multiprocessing.cpu_count() - 2\\r\\n\\r\\n p = multiprocessing.Pool(processes=cores)\\r\\n\\r\\n # calculation loop\\r\\n start_time = time.time()\\r\\n\\r\\n data = list(\\r\\n tqdm.tqdm(p.imap_unordered(point_ant_size, [(city, sat, reception) for index, city in point_list.iterrows()]),\\r\\n total=len(point_list)))\\r\\n p.close()\\r\\n\\r\\n point_list.drop(point_list.index, inplace=True)\\r\\n point_list = point_list.append(data, ignore_index=True)\\r\\n\\r\\n print(\\\"--- %s seconds ---\\\" % (time.time() - start_time))\\r\\n\\r\\n print(point_list)\"\n },\n {\n \"alpha_fraction\": 0.5815232396125793,\n \"alphanum_fraction\": 0.5890843868255615,\n \"avg_line_length\": 34.73737335205078,\n \"blob_id\": \"6138f1c214983edf545ed3820dce29163150d12a\",\n \"content_id\": \"5237cf1fdafafc7f3df3d20bbeac6dd2091828d7\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 7286,\n \"license_type\": \"permissive\",\n \"max_line_length\": 130,\n \"num_lines\": 198,\n \"path\": \"/antenna_size.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from GrStat import GroundStation, Reception\\r\\nfrom sat import Satellite\\r\\nfrom pathos.pools import ParallelPool\\r\\nfrom scipy import interpolate\\r\\nimport pandas as pd\\r\\nimport numpy as np\\r\\nimport pickle\\r\\nimport tqdm\\r\\nimport datetime\\r\\nimport sys, os\\r\\n\\r\\n\\r\\n# this file contains the functions used to estimate antenna sizes and display the results in the interface\\r\\n\\r\\n\\r\\n# STILL NEED TO CREATE A HEADER IN THE CSV OUTPUT (mp_mp_ant_size)\\r\\n\\r\\ndef loop_graph_ant_size(args):\\r\\n sat = args[0]\\r\\n margin = args[1]\\r\\n snr_relaxation = args[2]\\r\\n ant_size = args[3]\\r\\n\\r\\n sat.reception.ant_size = round(ant_size, 1)\\r\\n\\r\\n availability = sat.get_availability(margin, snr_relaxation)\\r\\n\\r\\n return availability\\r\\n\\r\\n\\r\\ndef point_ant_size(args): # function loop - return the availability to a given Lat/Long\\r\\n min_ant_size = 0.5\\r\\n max_ant_size = 10\\r\\n step_ant_size = 0.2\\r\\n target_availability = args[5]\\r\\n\\r\\n point = args[0]\\r\\n sat = args[1]\\r\\n reception = args[2]\\r\\n margin = args[3]\\r\\n snr_relaxation = args[4]\\r\\n lat = point['Lat']\\r\\n long = point['Long']\\r\\n station = GroundStation(lat, long)\\r\\n sat.set_grstation(station)\\r\\n sat.set_reception(reception)\\r\\n\\r\\n ant_size_vector = np.arange(min_ant_size, max_ant_size, step_ant_size)\\r\\n for ant_size in ant_size_vector:\\r\\n sat.reception.ant_size = round(ant_size, 1)\\r\\n if sat.get_availability(margin, snr_relaxation) >= target_availability:\\r\\n sat.reception.ant_size = round(round(ant_size, 1) - 0.1, 1)\\r\\n if sat.get_availability(margin, snr_relaxation) >= target_availability:\\r\\n point['ant size'] = round(round(ant_size, 1) - 0.1, 1)\\r\\n else:\\r\\n point['ant size'] = round(ant_size, 1)\\r\\n break\\r\\n return point\\r\\n\\r\\n\\r\\ndef sp_ant_size(): # this function runs the availability for a single point and shows a complete output\\r\\n with open('temp\\\\\\\\args.pkl', 'rb') as f:\\r\\n (site_lat, site_long, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\\r\\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\\r\\n cable_loss, max_depoint, max_ant_size, min_ant_size, margin, cores) = pickle.load(f)\\r\\n f.close()\\r\\n\\r\\n #####################################\\r\\n ##### ground station parameters #####\\r\\n #####################################\\r\\n\\r\\n # creating a ground station object\\r\\n station = GroundStation(site_lat, site_long)\\r\\n\\r\\n ##############################\\r\\n ### satellite parameters ###\\r\\n ##############################\\r\\n\\r\\n data = pd.read_csv('models\\\\\\\\Modulation_dB.csv', sep=';')\\r\\n line = data.loc[(data.Modcod) == modcod]\\r\\n # tech = line['Tech'].values[0]\\r\\n mod = line['Modulation'].values[0]\\r\\n fec = line['FEC'].values[0]\\r\\n\\r\\n # criando o objeto satélite\\r\\n satellite = Satellite(sat_long, freq, max_eirp, sat_height, max_bw, bw_util, 0, 0, mod, roll_off, fec)\\r\\n\\r\\n # atribuindo uma estação terrena à um satélite\\r\\n satellite.set_grstation(station)\\r\\n\\r\\n ##############################\\r\\n ### reception parametters ####\\r\\n ##############################\\r\\n\\r\\n polarization_loss = 3 # perda de polarização, em dB\\r\\n\\r\\n # criando o objeto receptor\\r\\n reception = Reception(None, ant_eff, aditional_losses, polarization_loss, lnb_gain, lnb_temp, cable_loss,\\r\\n max_depoint)\\r\\n\\r\\n # atribuindo uma recepção à um enlace de satélite\\r\\n satellite.set_reception(reception) # setando o receptor do link de satélite\\r\\n\\r\\n ###################################\\r\\n ######### OUTPUTS #########\\r\\n ###################################\\r\\n\\r\\n ############ SNR target's calcullation ################\\r\\n\\r\\n step = 0.2\\r\\n interp_step = int(round((max_ant_size - min_ant_size) * 100))\\r\\n ant_size_vector = np.arange(min_ant_size, max_ant_size, step)\\r\\n ant_size_vector_interp = np.linspace(min_ant_size, max_ant_size, interp_step)\\r\\n\\r\\n # parallel loop for each antenna size\\r\\n pool = ParallelPool(nodes=round(cores/2)) #ARRUMAR AQUI\\r\\n availability_vector = list(pool.imap(loop_graph_ant_size, [(satellite, margin, 1, ant_size) for ant_size in ant_size_vector]))\\r\\n pool.clear()\\r\\n\\r\\n ant_size_vector = np.array(ant_size_vector)\\r\\n availability_vector = np.array(availability_vector)\\r\\n ant_size_vector = ant_size_vector[availability_vector > 60]\\r\\n availability_vector = availability_vector[availability_vector > 60]\\r\\n\\r\\n # a_BSpline = interpolate.make_interp_spline(ant_size_vector, availability_vector, k=2)\\r\\n # availability_vector_interp = a_BSpline(ant_size_vector_interp)\\r\\n\\r\\n availability_vector_interp = 0\\r\\n with open('temp\\\\\\\\args.pkl', 'wb') as f:\\r\\n pickle.dump(\\r\\n [ant_size_vector, ant_size_vector_interp, availability_vector, availability_vector_interp], f)\\r\\n f.close()\\r\\n\\r\\n return\\r\\n\\r\\n\\r\\ndef mp_ant_size():\\r\\n with open('temp\\\\\\\\args.pkl', 'rb') as f: # opening the input variables in the temp file\\r\\n (gr_station_path, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\\r\\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\\r\\n cable_loss, max_depoint, availability_target, snr_relaxation, margin, threads) = pickle.load(f)\\r\\n f.close()\\r\\n\\r\\n # reading the input table\\r\\n # dir = 'models\\\\\\\\'\\r\\n # file = 'CitiesBrazil'\\r\\n # cities = pd.read_csv(dir + file + '.csv', sep=';', encoding='latin1')\\r\\n # cities['availability'] = np.nan # creating an empty results column\\r\\n\\r\\n point_list = pd.read_csv(gr_station_path, sep=';', encoding='latin1') # creating a point dataframe from csv file\\r\\n\\r\\n data = pd.read_csv('models\\\\\\\\Modulation_dB.csv', sep=';')\\r\\n line = data.loc[data.Modcod == modcod]\\r\\n # tech = line['Tech'].values[0]\\r\\n mod = line['Modulation'].values[0]\\r\\n fec = line['FEC'].values[0]\\r\\n\\r\\n # creating the satellite object\\r\\n sat = Satellite(sat_long, freq, max_eirp, sat_height, max_bw, bw_util, 0, 0, mod, roll_off, fec)\\r\\n\\r\\n polarization_loss = 3\\r\\n\\r\\n reception = Reception(None, ant_eff, aditional_losses, polarization_loss, lnb_gain, lnb_temp, cable_loss,\\r\\n max_depoint) # creating the receptor object\\r\\n\\r\\n # ======================== PARALLEL POOL =============================\\r\\n\\r\\n pool = ParallelPool(nodes=threads) # creating the parallelPoll\\r\\n\\r\\n sys.stderr = open('temp\\\\\\\\out.txt', 'w') # to print the output dynamically\\r\\n\\r\\n print('initializing . . .', file=sys.stderr)\\r\\n\\r\\n # running the parallel pool\\r\\n data = list(\\r\\n tqdm.tqdm(pool.imap(point_ant_size,\\r\\n [(point, sat, reception, margin, snr_relaxation, availability_target) for index, point in\\r\\n point_list.iterrows()]),\\r\\n total=len(point_list)))\\r\\n pool.clear()\\r\\n\\r\\n point_list.drop(point_list.index, inplace=True)\\r\\n point_list = point_list.append(data, ignore_index=True)\\r\\n\\r\\n # saving the results into a csv file\\r\\n\\r\\n dir = 'results'\\r\\n if not os.path.exists(dir):\\r\\n os.makedirs(dir)\\r\\n\\r\\n point_list.to_csv(dir + '\\\\\\\\' + 'results_ant ' + datetime.datetime.now().strftime('%y-%m-%d_%H-%M-%S') + '.csv', sep=';',\\r\\n encoding='latin1')\\r\\n\\r\\n print('Complete!!!', file=sys.stderr)\\r\\n\\r\\n sys.stderr.close()\\r\\n\\r\\n return\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.7568027377128601,\n \"alphanum_fraction\": 0.7576530575752258,\n \"avg_line_length\": 47,\n \"blob_id\": \"1cdb713be2adcaf30b83ada40a26cc037f234cfc\",\n \"content_id\": \"bae9ac919ed8e9fcaab8dfd4e293cb3780810d86\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 1176,\n \"license_type\": \"permissive\",\n \"max_line_length\": 126,\n \"num_lines\": 24,\n \"path\": \"/mkdocs/docs/faq.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# FAQ\\r\\n\\r\\n* Does functionalty X will be implemented in Satlink?\\r\\n\\r\\nCurrentely, the plans are to add some map visualisations and more robust XPS calculations. \\r\\nAny other functionalities or improvements are not in planning. Feel free to suggest any via [contacts](contact.md).\\r\\n\\r\\n* I've found a bug! What should I need to do?\\r\\n\\r\\nFirst, check the issues pages at Github (https://github.com/cfragoas/SatLink/issues). If the issue is not there, \\r\\n you can add it or contact me (see [contacts](contact.md)).\\r\\n\\r\\n* What's the difference in using Satlink via command line and the graphical interface?\\r\\n\\r\\nUsing Satlink via command line can give the user a bit more freedom. The classes and their individual functions can be used to\\r\\ncreate new functionalities. Using Satlink via graphical interface can be a lot easier but also limits these possibilities.\\r\\n\\r\\n* Can Satlink be used in Linux/Windows/Mac?\\r\\n\\r\\nYes. Satlink is implemented in Python 3 and can be used in any supported OS.\\r\\n\\r\\n* I don't know the parameters to simulate one or all the calculations! What should I do?\\r\\n\\r\\nThe parameters can be consulted in [code description page](code_use.md) and [GUI usage page](gui_use.md).\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.5338929295539856,\n \"alphanum_fraction\": 0.5654101967811584,\n \"avg_line_length\": 37.2049674987793,\n \"blob_id\": \"f1f606cb7333a52ee83d4874b5aef076b9134106\",\n \"content_id\": \"e515dfdd44965419e8bba2a16e544257dbbf2cde\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6345,\n \"license_type\": \"permissive\",\n \"max_line_length\": 131,\n \"num_lines\": 161,\n \"path\": \"/GrStat.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\r\\nimport pandas as pd\\r\\nfrom scipy import constants as const\\r\\nfrom models import util\\r\\nimport sys\\r\\n\\r\\n\\r\\n# retorna parâmetros tabelados referenciados as coordenadas da estação terrena\\r\\n# lat/long em formato de graus\\r\\n\\r\\nclass GroundStation:\\r\\n\\r\\n def __init__(self, site_lat, site_long):\\r\\n self.site_lat = site_lat\\r\\n self.site_long = site_long\\r\\n\\r\\n # variáveis calculadas internamente na classe\\r\\n\\r\\n def get_earth_radius(self):\\r\\n a = 6378137 # m\\r\\n b = 6356752.3142 # m\\r\\n phi = self.site_lat\\r\\n radius = (np.sqrt((((a ** 2) * np.cos(phi)) ** 2 + ((b ** 2) * np.cos(phi)) ** 2) / # km\\r\\n ((a * np.cos(phi)) ** 2 + (b * np.cos(phi)) ** 2))) / 1000\\r\\n return radius\\r\\n\\r\\n def getnearpos(self, array, value):\\r\\n # função para buscar os índices mais próximos dos valores amostrados nas tabelas (h0 e R001)\\r\\n idx = (np.abs(array - value)).argmin()\\r\\n return idx\\r\\n\\r\\n def get_R001(self):\\r\\n # função que retorna o valor de R001 dadas as coordenadas da estação terrena (ref. ITU 837-7)\\r\\n # R001 - taxa de precipitação da chuva excedida em 0.01% do ano\\r\\n\\r\\n R001_table = pd.read_csv('R001.csv', sep=';', index_col=0) # linha=lat, coluna=long\\r\\n\\r\\n linhas_R001 = R001_table.index.to_numpy()\\r\\n colunas_R001 = R001_table.columns.to_numpy().astype('int32')\\r\\n\\r\\n R001 = (R001_table.iloc[self.getnearpos(linhas_R001, self.site_lat * 1000), self.getnearpos(colunas_R001,\\r\\n self.site_long * 1000)]) / 1000\\r\\n # tem que dividir por mil pelo formato que os dados da planilha são formatados (sem casa decimais)\\r\\n\\r\\n return R001\\r\\n\\r\\n def get_h0(self):\\r\\n # função que retorna o valor de h0 dadas as coordenadas da estação terrena (ref. ITU 839-4)\\r\\n # h0 - altura isotérmica sobre o nível do mar\\r\\n\\r\\n h0_table = pd.read_csv('h0.csv', sep=';', index_col=0) # linha=lat, coluna=long\\r\\n\\r\\n linhas_h0 = h0_table.index.to_numpy()\\r\\n colunas_h0 = h0_table.columns.to_numpy().astype('int32')\\r\\n\\r\\n h0 = h0_table.iloc[\\r\\n self.getnearpos(linhas_h0, self.site_lat * 1000), self.getnearpos(colunas_h0, self.site_long * 1000)]\\r\\n\\r\\n return h0\\r\\n\\r\\n def get_hR(self):\\r\\n # função que retorna o valor de hR dadas as coordenadas da estação terrena (ref. ITU 839-4)\\r\\n # hR - altura média anual da chuva sobre o nível do mar\\r\\n hR = self.get_h0() + 0.36\\r\\n return hR\\r\\n\\r\\n\\r\\nclass Reception:\\r\\n\\r\\n def __init__(self, ant_size=1.2, ant_eff=0.6, coupling_loss=0.5, polarization_loss=3, lnb_gain = 60, lnb_noise_temp=20,\\r\\n cable_loss=5, max_depoint = 0):\\r\\n\\r\\n self.ant_size = ant_size\\r\\n self.ant_eff = ant_eff\\r\\n self.coupling_loss = coupling_loss # perda do feeder\\r\\n self.polarization_loss = polarization_loss # perda de polarizacao (3dB de linear para circular ou vice e versa)\\r\\n self.lnb_gain = lnb_gain\\r\\n self.lnb_noise_temp = lnb_noise_temp\\r\\n self.cable_loss = cable_loss\\r\\n self.max_depoint = max_depoint # maximum depointing angle between transmission and reception\\r\\n\\r\\n # vairáveis para armazenar os parâmetros calculados internamente na classe\\r\\n self.gain = None\\r\\n self.t_ground = None\\r\\n self.t_sky = None\\r\\n self.t_ant = None\\r\\n self.total_noise_temp = None\\r\\n self.figure_of_merit = None # G/T\\r\\n self.angle_3db = None # 3 db or half-power angle\\r\\n self.a_dep = None\\r\\n\\r\\n # parâmetros de outras classes e não setados ou calculados em na classe Reception\\r\\n self.freq = None\\r\\n self.e = None\\r\\n self.a_rain = None\\r\\n\\r\\n def set_parameters(self, freq, e):\\r\\n self.freq = freq\\r\\n self.e = e\\r\\n pass\\r\\n\\r\\n def get_antenna_gain(self):\\r\\n if self.freq is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n else:\\r\\n self.gain = (10 * np.log10(self.ant_eff * (np.pi * self.ant_size * self.freq * (10 ** 9) /\\r\\n (const.c)) ** 2))\\r\\n return self.gain\\r\\n\\r\\n def get_beamwidth(self):\\r\\n if self.angle_3db is not None:\\r\\n return self.angle_3db\\r\\n elif self.ant_size is None or self.freq is None:\\r\\n sys.exit('You need to set the antenna size and system frequency before this calculation!!!')\\r\\n else:\\r\\n self.angle_3db = 70 * (const.c / (self.freq * 10 ** 9 * self.ant_size))\\r\\n\\r\\n return self.angle_3db\\r\\n\\r\\n def get_depoint_loss(self):\\r\\n if self.a_dep is not None:\\r\\n return self.a_dep\\r\\n self.a_dep = 12 * ((self.max_depoint/self.get_beamwidth()) ** 2)\\r\\n\\r\\n return self.a_dep\\r\\n\\r\\n def get_ground_temp(self):\\r\\n if self.t_ground is not None:\\r\\n return self.t_ground\\r\\n else:\\r\\n if self.e < -10:\\r\\n self.t_ground = 290\\r\\n elif 0 > self.e > -10:\\r\\n self.t_ground = 150\\r\\n elif 10 > self.e > 0:\\r\\n self.t_ground = 50\\r\\n elif 90 > self.e > 10:\\r\\n self.t_ground = 10\\r\\n else:\\r\\n sys.exit('Ground temperature can only be calculated for elevation angles between -10 and 90!!!')\\r\\n return self.t_ground\\r\\n\\r\\n def get_brightness_temp(self, printer=False):\\r\\n if self.freq is None or self.e is None:\\r\\n sys.exit('Need to associate a reception to a satellite first. Try satellite.set_reception(reception)!!!')\\r\\n elif self.t_sky is not None:\\r\\n return self.t_sky\\r\\n else:\\r\\n data = pd.read_csv('models\\\\\\\\ClearSkyTemp ITU 372.csv', sep=';', index_col=0)\\r\\n self.t_sky = util.curve_interpolation(self.freq, self.e, data)\\r\\n if printer:\\r\\n print('elevation: ', self.e, ' freq: ', self.freq, ' Tsky (brightness temperature): ', self.t_sky)\\r\\n\\r\\n return self.t_sky\\r\\n\\r\\n def get_antenna_noise_temp(self):\\r\\n if self.t_ant is not None:\\r\\n return self.t_ant\\r\\n else:\\r\\n self.t_ant = self.get_brightness_temp() + self.get_ground_temp()\\r\\n return self.t_ant\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.666991114616394,\n \"alphanum_fraction\": 0.6725528240203857,\n \"avg_line_length\": 30.89719581604004,\n \"blob_id\": \"960f8c43b6474a077817ffd352e9806c22dc6add\",\n \"content_id\": \"18ea75577cb1dd73068c8108e8e3f460fabe7509\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 7193,\n \"license_type\": \"permissive\",\n \"max_line_length\": 145,\n \"num_lines\": 214,\n \"path\": \"/mkdocs/docs/code_use.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#Code-based usage\\r\\nSatLink is structured with three main classes [Satellite](#satellite), [Reception](#reception) and \\r\\n[GroundStation](#groundstation). For the most functions, \\r\\nthe user needs to instance an object of each class and relate these objects with a **set-type** function. \\r\\nPlease check the [example](#examples) files.\\r\\n\\r\\nFor example, to calculate one link availability, execute the following steps:\\r\\n\\r\\nImport the modules:\\r\\n\\r\\n from GrStat import GroundStation, Reception\\r\\n from sat import Satellite\\r\\n\\r\\nInstanciate the objects of each class:\\r\\n\\r\\n station = GroundStation(site_lat, site_long)\\r\\n sat = Satellite(sat_long, freq, eirp_max, hsat, b_transponder, b_util, _, _, mod, rolloff, fec)\\r\\n receptor = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss, desfoc_max)\\r\\n\\r\\nUse the set functions:\\r\\n\\r\\n sat.set_grstation(station)\\r\\n sat.set_reception(receptor)\\r\\n\\r\\nUse the link availability function with default values:\\r\\n\\r\\n availability = sat.get_availability()\\r\\n print(availability)\\r\\n\\r\\n# Examples\\r\\nCode-based examples can be found in Satlink main folder as **single_point_example.py**, **multi_point_example.py**,\\r\\n**example_single_point_ant_size.py** and **example_multi_point_ant_size.py**. These examples use the majority of class functions\\r\\n and emulate the GUI calculations.\\r\\n\\r\\n#Classes\\r\\n##Satellite\\r\\nSatellite is the code's main class. It has the majority of functions. Its parameters are:\\r\\n\\r\\n###Parameters\\r\\n\\r\\n* sat_long: geostationary satellite longitude in degrees\\r\\n* freq: frequency in GHz\\r\\n* eirp_max: transponder maximun E.I.R.P. in dBW\\r\\n* h_sat: satellite height in Km\\r\\n* b_transp: transponder bandwidth in MHz\\r\\n* b_util: actual used transponder bandwidth\\r\\n* back_off: decrease in transmitted power to avoid non-linear amplification\\r\\n* modulation: please check **Modulation_dB.csv** in **models** folder to see the available modulations\\r\\n* fec: please check **Modulation_dB.csv** in **models** folder to see the available options\\r\\n* roll_off: factor of spectral efficiency, ROF (Roll-Off Factor)\\r\\n\\r\\n### Functions\\r\\nSatellite class functions are:\\r\\n\\r\\n* to set the GroundStation object of the link the user wants to compute\\r\\n\\r\\n .set_grstation(grstation: GroundStation)\\r\\n\\r\\n* to set the Reception object of the link the user wants to compute\\r\\n\\r\\n .set_reception(reception: Reception)\\r\\n\\r\\n* to return the elevation angle between satellite and ground station (degrees)\\r\\n \\r\\n .get_elevation() # need set_grstation()\\r\\n\\r\\n\\r\\n* to return the azimuth angle between satellite and ground station (degrees)\\r\\n \\r\\n .get_azimuth() # need set_grstation()\\r\\n\\r\\n\\r\\n * to return the distance between satellite and ground station (km)\\r\\n \\r\\n .get_distance() # need set_grstation()\\r\\n\\r\\n\\r\\n * to return the threshold for a given modulation and FEC\\r\\n \\r\\n .get_reception_treshold()\\r\\n\\r\\n\\r\\n* to return multiple attenuation values: a_fs, depointing_loss, a_g, a_c, a_r, a_s, a_t, a_tot\\r\\n \\r\\n .get_link_attenuation(p=0.001, method='approx') # need set_grstation() and set_reception()\\r\\n\\r\\n\\r\\n * a_fs: free-space attenuation (dB)\\r\\n * depointing_loss: depointing for a given max. align mismatch (dB)\\r\\n * a_g: gaseous attenuation (dB)\\r\\n * a_c: cloud attenuation (dB)\\r\\n * a_r: rain attenuation (dB)\\r\\n * a_s: scintillation or tropospheric attenuation (dB)\\r\\n * a_t: total atmospheric attenuation (dB)\\r\\n * a_tot: total attenuation (free-space + atmospheric) (dB)\\r\\n\\r\\n
\\r\\n\\r\\n* to return total attenuation values: a_t, a_tot and depoint_loss\\r\\n \\r\\n .get_total_attenuation(p= None) # need set_grstation() and set_reception()\\r\\n\\r\\n * a_t: total atmospheric attenuation (dB)\\r\\n * a_tot: total attenuation (free-space + atmospheric) (dB)\\r\\n * depoint_loss: depointing for a given max. align mismatch (dB)\\r\\n\\r\\n
\\r\\n\\r\\n* to return the power flux density at the reception (W/m²)\\r\\n \\r\\n .get_get_power_flux_density(p=None) # need set_grstation() and set_reception()\\r\\n\\r\\n\\r\\n* to return the antenna noise temperature under rain conditions (K)\\r\\n \\r\\n .get_antenna_noise_rain(p=None) # need set_grstation() and set_reception()\\r\\n\\r\\n* to return reception's total noise temperature (K)\\r\\n \\r\\n .get_total_noise_temp(p=None) # need set_grstation() and set_reception()\\r\\n\\r\\n* to return the link's figure of merit (G/T) (dB/K)\\r\\n \\r\\n .get_figure_of_merit(p=None) # need set_grstation() and set_reception()\\r\\n\\r\\n\\r\\n* to return the carrier over noise per bandwidth unit (dB-Hz)\\r\\n \\r\\n .get_c_over_n0(p=None) # need set_grstation() and set_reception()\\r\\n\\r\\n* to return the signal over noise (dB)\\r\\n \\r\\n .get_snr(p=None) # need set_grstation() and set_reception()\\r\\n\\r\\n* to return the link availability (%/year) for a SNR + a given margin (dB) with a relaxation (dB) over the target value\\r\\n \\r\\n .get_availability(margin=0, relaxation=0.1) # need set_grstation() and set_reception()\\r\\n \\r\\n * margin: summed value over the modulation threshold to be considered. If margin = 0, the calculation target equals the modulation threshold.\\r\\n * relaxation: (+-) relaxation over the error between the target value and actual SNR in availability calculation\\r\\n \\r\\n\\r\\n##Reception\\r\\n\\r\\n###Parameters\\r\\n\\r\\n* ant_size: antenna diameter in meters\\r\\n* ant_eff: antenna efficiency (between 0 and 1)\\r\\n* coupling_loss: coupling losses in dB\\r\\n* polarization_loss: polarization loss in dB\\r\\n* lnb_gain: LNB gain in dB\\r\\n* lnb_noise_temp: LNB noise temperature in Kelvin\\r\\n* cable_loss: cable loss in dB\\r\\n* max_depoint: maximum depointing angle between transmission and reception (degrees)\\r\\n\\r\\n###Functions\\r\\n\\r\\nReception class functions are:\\r\\n\\r\\n* to return the calculated antenna gain (dB)\\r\\n \\r\\n .get_antenna_gain()\\r\\n\\r\\n* to return the antenna 3dB beamwidth (degrees)\\r\\n \\r\\n .get_beamwidth():\\r\\n\\r\\n* to return the calculated maximum depoint loss based on the maximum depointing angle (dB)\\r\\n \\r\\n .get_depoint_loss()\\r\\n\\r\\n* to return the ground temperature received in the antenna (Kelvin)\\r\\n \\r\\n .get_ground_temp(self):\\r\\n\\r\\n* to return the sky brightness temperature received in the antenna (Kelvin)\\r\\n \\r\\n .get_brightness_temp():\\r\\n\\r\\n* to return the total antenna noise temperature (Kelvin)\\r\\n \\r\\n .get_antenna_noise_temp(self):\\r\\n\\r\\n\\r\\n##GroundStation\\r\\n\\r\\n###Parameters\\r\\n\\r\\n* site_lat: site latitude in decimal degrees\\r\\n* site_long: site longitude in decimal degrees\\r\\n\\r\\n###Functions\\r\\nReception class functions are:\\r\\n\\r\\n* to return the earth radius from lat, long (km)\\r\\n \\r\\n .get_earth_radius(self)\\r\\n\\r\\n* to return a nearest value from a point of a table. It is used in get_R001, get_h0 and get_hR.\\r\\n Its an auxiliary function and should be moved to another class in the future.\\r\\n \\r\\n getnearpos(self, array, value)\\r\\n\\r\\n* to return the R001 (rain exceedance in 0.01% of year) value from ITU 837-7\\r\\n \\r\\n get_R001(self)\\r\\n\\r\\n* to return h0 (isometric height) from ITU 839-4\\r\\n \\r\\n get_h0(self)\\r\\n\\r\\n* to return hR (annual rain height) from ITU 839-4\\r\\n \\r\\n get_hR(self)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.6500366926193237,\n \"alphanum_fraction\": 0.6551724076271057,\n \"avg_line_length\": 44.20338821411133,\n \"blob_id\": \"c6638d962d7d40d6ceb7d3512da55627901ee747\",\n \"content_id\": \"23f7dd598d46a3b568d3f8085422fa73a696ea6d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2726,\n \"license_type\": \"permissive\",\n \"max_line_length\": 118,\n \"num_lines\": 59,\n \"path\": \"/atm_atnn.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from GrStat import GroundStation, Reception\\r\\nfrom sat import Satellite\\r\\nimport sys, os\\r\\nimport pickle\\r\\nimport numpy as np\\r\\nimport time\\r\\n\\r\\n# This function runs the atmospheric attenuation functions and prepare the interface outputs\\r\\n\\r\\ndef calc_atm_atnn():\\r\\n with open('temp\\\\\\\\args.pkl', 'rb') as f:\\r\\n p, site_lat, site_long, ant_size, ant_eff, sat_long, freq, method = pickle.load(f)\\r\\n f.close()\\r\\n\\r\\n sys.stdout = open('temp\\\\\\\\out.txt', 'w') # creating a output file to show in the interface\\r\\n gr_station = GroundStation(site_lat, site_long)\\r\\n satellite = Satellite(sat_long, freq)\\r\\n reception = Reception(ant_size, ant_eff)\\r\\n\\r\\n satellite.set_grstation(gr_station)\\r\\n satellite.set_reception(reception)\\r\\n\\r\\n start = time.time()\\r\\n # running the atmospheric attenuation calculations and storing the results\\r\\n a_fs, a_dep, a_g, a_c, a_r, a_s, a_t, a_tot = satellite.get_link_attenuation(p, method)\\r\\n\\r\\n # preparing the outputs\\r\\n # ====== REMEMBER TO ADJUST TO 3 DECIMALS ALL OUTPUTS!!!!! =======\\r\\n print('RESULTS', file=sys.stdout)\\r\\n print('', file=sys.stdout)\\r\\n print('Reception characteristics:', file=sys.stdout)\\r\\n print('', file=sys.stdout)\\r\\n print('Earth\\\\'s radius in lat/long: ', np.round(satellite.grstation.get_earth_radius(),3), ' km', file=sys.stdout)\\r\\n print('Elevation angle: ', np.round(satellite.get_elevation(), 3), ' degress', file=sys.stdout)\\r\\n print('Link length: ', np.round(satellite.get_distance(), 3), 'km', file=sys.stdout)\\r\\n print('Ground noise temperature: ', np.round(satellite.reception.get_ground_temp(), 3), ' K', file=sys.stdout)\\r\\n print('Sky brightness temperature', np.round(satellite.reception.get_brightness_temp(), 3), ' K', file=sys.stdout)\\r\\n print('', file=sys.stdout)\\r\\n print('', file=sys.stdout)\\r\\n\\r\\n print('Link budget Aaalysis:', file=sys.stdout)\\r\\n print('', file=sys.stdout)\\r\\n print(\\\"Gaseous attenuation: \\\", np.round(a_g, 3), file=sys.stdout)\\r\\n print(\\\"Cloud attenuation: \\\", np.round(a_c, 3), file=sys.stdout)\\r\\n print(\\\"Rain attenuation: \\\", np.round(a_r, 3), file=sys.stdout)\\r\\n print(\\\"Scintillation attenuation: \\\", np.round(a_s, 3), file=sys.stdout)\\r\\n print(\\\"Total atmospheric attenuation: \\\", np.round(a_t, 3), file=sys.stdout)\\r\\n print('Free space attenuation: ', np.round(a_fs, 3), file=sys.stdout)\\r\\n print('Free space + atmospheric + depointing attenuation: ', np.round(a_tot, 3), ' dB', file=sys.stdout)\\r\\n\\r\\n print('', file=sys.stdout)\\r\\n print('Runtime: ', np.round(time.time() - start, 2), ' s', file=sys.stdout)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\args.pkl'): # deleting the input variables temp file\\r\\n os.remove('temp\\\\\\\\args.pkl')\\r\\n\\r\\n sys.stdout.close()\\r\\n\\r\\n return\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.7476653456687927,\n \"alphanum_fraction\": 0.7568134069442749,\n \"avg_line_length\": 38.42856979370117,\n \"blob_id\": \"7fa0fa98b5600c36feb2350f5bdb54b14efcbbf3\",\n \"content_id\": \"748eb7171feb3ab819c14dc06583a78c3b619b78\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 5248,\n \"license_type\": \"permissive\",\n \"max_line_length\": 281,\n \"num_lines\": 133,\n \"path\": \"/README.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# SatLink\\n\\n<img src=\\\"pics/LogoSatLink225_225_white.png\\\" alt=\\\"logo\\\" width=\\\"150\\\"/>\\n\\nSatLink is a python based application that runs speciffic satellite downlink calcullations. It has a GUI and his main functions are:\\n\\n - Atmospheric attenuation calcullation (via [itur])\\n - Single and multi-point downlink avaiability calcullation (input and output csv file)\\n - Antenna size estimation for a desired availability (single point graphic plot and multi point csv output)\\n - Save and load parameters for satellites, ground stations and reception characteristics\\n - Totally free !!!\\n\\nThis project is a attempt to simplify satellite's link budget calcullations and to create a tool for teaching purposes. Please check the [**documentation**](https://cfragoas.github.io/SatLink/) for more detailed information.\\n\\n# GUI Interface\\nFor those that dont like code writing\\n\\n<img src=\\\"https://i.imgur.com/ZMpcxgH.png\\\" alt=\\\"screenshot\\\" width=\\\"500\\\"/>\\n\\n - Simple Qt Gui made for simple usage\\n - Drop lists can be edited via model folder\\n\\nTo run the calcullations via GUI interface, run the python file **main_window.py**. The main window will appear. Now, just choose the functions in the action menu\\n\\nDetailed information about the usage of the GUI can be found in the [**documentation**](https://cfragoas.github.io/SatLink/).\\n\\n# Using SatLink via python commands \\n SatLink consists of three main classes \\n \\n - Satellite class\\n - Ground Station class\\n - Reception class\\n\\nYou need to define those three objects and set their relationship\\n```sh\\nfrom GrStat import GroundStation, Reception\\nfrom sat import Satellite\\n\\n# creating the objects\\nstation = GroundStation(site_lat, site_long)\\nsat = Satellite(sat_long, freq, eirp_max, hsat, b_transponder, b_util, _, _, mod, rolloff, fec)\\nreceptor = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss, desfoc_max)\\n\\n# relating the objets to the satellite\\nsat.set_grstation(station)\\nsat.set_reception(receptor) \\n\\n# example - calcullating the link availability\\navailability = sat.get_availability()\\nprint(availability) # 0 - 100 percentage\\n\\n# example - calcullating the power flux density in the reception point and the antenna noise in rain conditions\\npw_flx = sat.get_power_flux_density()\\nprint(pw_flx) # watts/m²\\nant_noise = sat.reception.get_antenna_noise_temp()\\nprint(ant_noise) # Kelvin\\nant_noise_rain = sat.get_antenna_noise_rain()\\nprint(ant_noise_rain) # Kelvin\\n```\\n\\nThe other functions are detailed in the [**documentation**](https://cfragoas.github.io/SatLink/).\\n\\n### Libraries\\n\\nSatLink uses a bunch of differente open source python libraries\\n\\n* [itur] - A python implementation of the ITU-R P. Recommendations to compute atmospheric attenuation in slant and horizontal paths\\n* [pyqt] - PyQt is a set of Python bindings for The Qt Company's Qt application framework\\n* [tqdm] - Instantly make your loops show a smart progress meter\\n* [pathos] - It provides a consistent high-level interface for configuring and launching parallel computations across heterogeneous resources.\\n* [pandas] - Fast, powerful, flexible and easy to use open source data analysis and manipulation tool\\n* [astropy] - Common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages\\n* [numpy] - The fundamental package for scientific computing with Python\\n\\n### Installation\\n\\nSatLink is currently tested only in python 3.\\nJust copy all the folders and files to any directory and make sure all packages are installed. To install the packages, just run **first_setup.py**, located in the main SatLink's folder, for a fresh package installation or run the following commands\\n\\n```sh\\npip install -r requirements.txt\\n```\\n\\nor\\n\\n```sh\\npip install itur==0.2.1\\npip install tqdm==4.56.0\\npip install pandas==1.2.1\\npip install pathos==0.2.7\\npip install astropy==4.2\\npip install pyqt5==5.15.2\\npip install matplotlib==3.4.1\\n```\\n\\nRun **main_window.py** to start the applicaiton via interface.\\n\\n### Contributions\\n\\nSince this is still a early version of the code, we expect there some problem can be found, We are tottaly open for contributions and bug/problems reports. **Please tell us!**\\n\\n### Future Developments\\n\\nSome updates are planned for the future of the SatLink\\n\\n* Worst month availabilty calcullation\\n* More robust XPD calculations\\n\\n### Authorship\\n\\nAll the code development was made by Christian Rodrigues.\\n\\nContact: christianfragoas@gmail.com\\n\\n### Credits\\n\\n[Globo] - For supporting the very first release version of the application\\n\\n[Caio Alexandre] - Logo designer\\n\\n\\n[//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax)\\n\\n\\n [Globo]: <https://globoplay.globo.com/>\\n [itur]: <https://github.com/iportillo/ITU-Rpy>\\n [pathos]: <https://github.com/uqfoundation/pathos>\\n [tqdm]: <https://github.com/tqdm/tqdm>\\n [pandas]: <https://pandas.pydata.org/>\\n [astropy]: <https://www.astropy.org/>\\n [numpy]: <https://numpy.org/>\\n [pyqt]: <https://riverbankcomputing.com/software/pyqt/intro>\\n [Caio Alexandre]: <https://www.instagram.com/caioalexandredasilva> \\n\"\n },\n {\n \"alpha_fraction\": 0.3980582654476166,\n \"alphanum_fraction\": 0.6213592290878296,\n \"avg_line_length\": 13,\n \"blob_id\": \"b37ab1dacca9a113db1d501dd0c538e0dcc718e0\",\n \"content_id\": \"d8bdaf041ab72a791702f8df4d91417a3b8ad55b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 103,\n \"license_type\": \"permissive\",\n \"max_line_length\": 17,\n \"num_lines\": 7,\n \"path\": \"/requirements.txt\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"itur==0.2.1\\r\\ntqdm==4.56.0\\r\\npandas==1.2.1\\r\\npathos==0.2.7\\r\\nastropy==4.2\\r\\npyqt5==5.15.2\\r\\nmatplotlib==3.4.1\"\n },\n {\n \"alpha_fraction\": 0.7296631336212158,\n \"alphanum_fraction\": 0.7345932722091675,\n \"avg_line_length\": 37.16128921508789,\n \"blob_id\": \"85e1f7bcffd7778fd2c651c7a65605a1fb8dd9e3\",\n \"content_id\": \"edf83fbdf6058b87c57e8cd71af036c61148cbb3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 1217,\n \"license_type\": \"permissive\",\n \"max_line_length\": 111,\n \"num_lines\": 31,\n \"path\": \"/mkdocs/docs/index.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# SatLink Documentation\\r\\n\\r\\n<p align=\\\"center\\\">\\r\\n <img src=\\\"..\\\\images\\\\home_logo.png\\\" alt=\\\"logo\\\" width=\\\"250\\\"/>\\r\\n</p>\\r\\n\\r\\nSatLink is a python-based application that implements satellite link budget downlink \\r\\ncalculations. Github page is [https://github.com/cfragoas/Satlink](https://github.com/cfragoas/Satlink). \\r\\n\\r\\nLink budget analysis consists in different aspects, from free-space and atmospheric attenuation, transmiting\\r\\nand receiving system characteristics such as power, antenna gains, modulations, \\r\\ncorrection codes, among others.\\r\\n\\r\\nSatlink has a GUI that can be used to simply generate results involving link attenuation, \\r\\navailability and antenna size estimation for one or multiple points. It also has functions to compute multiple \\r\\nparameters involving an earth-space downlink link-budget.\\r\\n\\r\\n<p align=\\\"center\\\">\\r\\n <img src=\\\"..\\\\images\\\\home_print.jpeg\\\" alt=\\\"gui example\\\" width=\\\"400\\\"/>\\r\\n</p>\\r\\n\\r\\n## Contents\\r\\n\\r\\n* [Installation](installation.md)\\r\\n* [GUI usage](gui_use.md)\\r\\n* [Code-based usage](code_use.md)\\r\\n* [F.A.Q.](faq.md)\\r\\n* [Contacts](contact.md)\\r\\n\\r\\n## Want to collaborate? Please [contact](contact.md) us!!!\\r\\nAny new functionalities and improvements are welcome! Please report bugs as well.\\r\\n\\r\\n \"\n },\n {\n \"alpha_fraction\": 0.3712972402572632,\n \"alphanum_fraction\": 0.4867211580276489,\n \"avg_line_length\": 42,\n \"blob_id\": \"a45e9a38523dee8065f739628faff0f40add1275\",\n \"content_id\": \"7f56f115e866fbff91e8dedb4a37eacca1b71a9d\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3943,\n \"license_type\": \"permissive\",\n \"max_line_length\": 107,\n \"num_lines\": 89,\n \"path\": \"/models/spec_att.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\r\\n\\r\\n\\r\\n# cálculo da atenuação específica da chuva\\r\\n# segundo a ITU-R P.838-3 (https://www.itu.int/rec/R-REC-P.838/en)\\r\\n\\r\\nclass specific_attenuation:\\r\\n # coeficientes para kH, segundo a tabela 1 da ITU 838-3\\r\\n vars_kH = {\\\"aj\\\": [-5.33980, -0.35351, -0.23789, -0.94158],\\r\\n \\\"bj\\\": [-0.10008, 1.26970, 0.86036, 0.64552],\\r\\n \\\"cj\\\": [1.13098, 0.45400, 0.15354, 0.16817],\\r\\n \\\"mk\\\": -0.18961,\\r\\n \\\"ck\\\": 0.71147}\\r\\n\\r\\n # coeficientes para kV, segundo a tabela 2 da ITU 838-3\\r\\n vars_kV = {\\\"aj\\\": [-3.80595, -3.44965, -0.39902, 0.50167],\\r\\n \\\"bj\\\": [0.56934, -0.22911, 0.73042, 1.07319],\\r\\n \\\"cj\\\": [0.81061, 0.51059, 0.11899, 0.27195],\\r\\n \\\"mk\\\": -0.16398,\\r\\n \\\"ck\\\": 0.63297}\\r\\n\\r\\n # coeficientes para alfaH, segundo a tabela 3 da ITU 838-3\\r\\n vars_alfaH = {\\\"aj\\\": [-0.14318, 0.29591, 0.32177, -5.37610, 16.1721],\\r\\n \\\"bj\\\": [1.82442, 0.77564, 0.63773, -0.96230, -3.29980],\\r\\n \\\"cj\\\": [-0.55187, 0.19822, 0.13164, 1.47828, 3.43990],\\r\\n \\\"m_alfa\\\": 0.67849,\\r\\n \\\"c_alfa\\\": -1.95537}\\r\\n\\r\\n # coeficientes para alfaV, segundo a tabela 4 da ITU 838-3\\r\\n vars_alfaV = {\\\"aj\\\": [-0.07771, 0.56727, -0.20238, -48.2991, 48.5833],\\r\\n \\\"bj\\\": [2.33840, 0.95545, 1.14520, 0.791669, 0.791459],\\r\\n \\\"cj\\\": [-0.76284, 0.54039, 0.26809, 0.116226, 0.116479],\\r\\n \\\"m_alfa\\\": -0.053739,\\r\\n \\\"c_alfa\\\": 0.83433}\\r\\n\\r\\n def eq_k(self, aj, bj, cj, mk, ck, f):\\r\\n # esta função calcula kH ou kV, segundo a equação (2) da ITU 838-3\\r\\n aj = np.array(aj)\\r\\n bj = np.array(bj)\\r\\n cj = np.array(cj)\\r\\n summation = np.sum(aj * np.exp(-(((np.log10(f) - bj) / cj) ** 2))) + mk * np.log10(f) + ck\\r\\n\\r\\n return 10 ** summation\\r\\n\\r\\n def eq_alfa(self, aj, bj, cj, m_alfa, c_alfa, f):\\r\\n # esta função calcula alfaV ou alfaH, segundo a equação (3) da ITU 838-3\\r\\n aj = np.array(aj)\\r\\n bj = np.array(bj)\\r\\n cj = np.array(cj)\\r\\n summation = np.sum(aj * np.exp(-(((np.log10(f) - bj) / cj) ** 2))) + m_alfa * np.log10(f) + c_alfa\\r\\n\\r\\n return summation\\r\\n\\r\\n def get_k(self, f, E, tau):\\r\\n # esta função calcula k, segundo a equação (4) da ITU 838-3\\r\\n E = np.radians(E)\\r\\n tau = np.radians(tau)\\r\\n\\r\\n kH = self.eq_k(self.vars_kH['aj'], self.vars_kH['bj'], self.vars_kH['cj'], self.vars_kH['mk'],\\r\\n self.vars_kH['ck'], f)\\r\\n kV = self.eq_k(self.vars_kV['aj'], self.vars_kV['bj'], self.vars_kV['cj'], self.vars_kV['mk'],\\r\\n self.vars_kV['ck'], f)\\r\\n\\r\\n k = (kV + kV + (kH - kV) * (np.cos(E) ** 2) * (np.cos(2 * tau))) / 2\\r\\n return k, kV, kH\\r\\n\\r\\n def get_alfa(self, f, E, tau):\\r\\n # esta função calcula alfa, segundo a equação (5) da ITU 838-3\\r\\n E = np.radians(E)\\r\\n tau = np.radians(tau)\\r\\n\\r\\n alfaH = self.eq_alfa(self.vars_alfaH['aj'], self.vars_alfaH['bj'], self.vars_alfaH['cj'],\\r\\n self.vars_alfaH['m_alfa'],\\r\\n self.vars_alfaH['c_alfa'], f)\\r\\n alfaV = self.eq_alfa(self.vars_alfaV['aj'], self.vars_alfaV['bj'], self.vars_alfaV['cj'],\\r\\n self.vars_alfaV['m_alfa'],\\r\\n self.vars_alfaV['c_alfa'], f)\\r\\n k, kV, kH = self.get_k(f, E, np.degrees(tau))\\r\\n alfa = ((kH * alfaH + kV * alfaV + (kH * alfaH - kV * alfaV) * (np.cos(E) ** 2) *\\r\\n (np.cos(2 * tau))) / (2 * k))\\r\\n\\r\\n return alfa, alfaV, alfaH\\r\\n\\r\\n def get_gamaR(self, R001, f, E, tau):\\r\\n # esta função calcula o coeficiente de atenuação específica gamaR, segundo a equação (1) da ITU 838\\r\\n k, _, _ = self.get_k(f, E, tau)\\r\\n alfa, _, _ = self.get_alfa(f, E, tau)\\r\\n gamaR = k * (R001) ** alfa\\r\\n return gamaR\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.7158253192901611,\n \"alphanum_fraction\": 0.7311400771141052,\n \"avg_line_length\": 43.25640869140625,\n \"blob_id\": \"737f2a5a63de7d5c0cd47e80aa6df8de732371fd\",\n \"content_id\": \"da5270508140144bce2988bfa1adcacba5d06b01\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 1763,\n \"license_type\": \"permissive\",\n \"max_line_length\": 129,\n \"num_lines\": 39,\n \"path\": \"/mkdocs/docs/installation.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# SatLink Installation\\r\\n\\r\\nSatLink needs a Python 3 installation to run. It is recommended an environment with python 3.9.\\r\\n\\r\\nYou can download Python in [python.org](https://www.python.org/downloads/).\\r\\n\\r\\nTo install, just copy all the folders and files to any directory and make sure all packages/libraries are installed.\\r\\n\\r\\n## Packages\\r\\n\\r\\nSatLink has dependencies and needs some packages to run. They are: [itur](https://pypi.org/project/itur/#description),\\r\\n[Numpy](https://numpy.org/), [tqdm](https://github.com/tqdm/tqdm), [pathos](https://github.com/uqfoundation/pathos),\\r\\n[pandas](https://pandas.pydata.org/), [Astropy](https://www.astropy.org/).\\r\\n\\r\\nTo use the graphical user interface, it also needs [PyQt5](https://riverbankcomputing.com/software/pyqt/intro).\\r\\n\\r\\nOne can install SatLink simply by running **first_setup.py**. It will install all the packages, including PyQt for the GUI usage.\\r\\n\\r\\nAlternatively, run the following command:\\r\\n \\r\\n pip install -r requirements.txt\\r\\n\\r\\nIf an IDE, like [PyCharm](https://www.jetbrains.com/pt-br/pycharm/), \\r\\nis being used, it will automatically detect the requirements file and ask to install the packages (including PyQt).\\r\\n\\r\\nLastly, the packages can be installed individually. Here's the code with the currently tested versions:\\r\\n\\r\\n pip install itur==0.2.1\\r\\n pip install tqdm==4.56.0\\r\\n pip install pandas==1.2.1\\r\\n pip install pathos==0.2.7\\r\\n pip install astropy==4.2\\r\\n pip install pyqt5==5.15.2\\r\\n pip install matplotlib==3.4.1\\r\\n\\r\\n##Using SatLink\\r\\nRun **main_window.py** to start the user interface. Please refer to [GUI usage](gui_use.md) for more information.\\r\\n\\r\\nFor more detailed information about the code-based functions and classes, please refer to [Code-based usage](code_use.md).\"\n },\n {\n \"alpha_fraction\": 0.653598964214325,\n \"alphanum_fraction\": 0.6805912852287292,\n \"avg_line_length\": 32.21977996826172,\n \"blob_id\": \"74019029ebfe3b9df4baee197973742069e2150f\",\n \"content_id\": \"8da4f30b41db450a69c090c7591a8a38611dfd90\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3112,\n \"license_type\": \"permissive\",\n \"max_line_length\": 112,\n \"num_lines\": 91,\n \"path\": \"/example_single_point_ant_size.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from GrStat import GroundStation, Reception\\r\\nfrom sat import Satellite\\r\\nfrom scipy import interpolate\\r\\nimport matplotlib.pyplot as plt\\r\\nimport numpy as np\\r\\n\\r\\n# ground station parameters\\r\\nsite_lat = -3.7 # [decimal degrees]\\r\\nsite_long = -45.9 # [decimal degrees]\\r\\nstation = GroundStation(site_lat, site_long)\\r\\n\\r\\n# satellite parameters\\r\\nsat_long = -70 # [decimal degrees]\\r\\nfreq = 12 # [Ghz]\\r\\neirp = 54 # [dBW]\\r\\nhsat = 35800 # satellite's height [km]\\r\\ntau = 90 # H=0, V = 90, circ = 45\\r\\nb_transponder = 36 # transponder bandwidth [MHz]\\r\\nb_util = 9 # effective used bandwidth [MHz]\\r\\nbackoff = 0 # not used for now!\\r\\ncontour = 0 # not used for now!\\r\\nrolloff = 0.2 # roll-off factor (raised cosine filter)\\r\\nmod = '8PSK' # modulation (from modcod file)\\r\\nfec = '120/180' # FEC (from modcod file)\\r\\n\\r\\n# creating the satellite object\\r\\nsat = Satellite(sat_long, freq, eirp, hsat, b_transponder, b_util, backoff, contour, mod, rolloff, fec)\\r\\n\\r\\nsat.set_grstation(station) # relating the ground station object to a satellite one\\r\\n\\r\\n# reception parameters\\r\\nant_size = 1.2 # reception antenna diameter [m]\\r\\nant_eff = 0.6 # reception antenna efficiency\\r\\ncoupling_loss = 0 # [dB]\\r\\npolarization_loss = 3 # [dB]\\r\\nlnb_gain = 55 # [dB]\\r\\nlnb_noise_temp = 20 # [dB]\\r\\ncable_loss = 4 # [dB]\\r\\nmax_depoint = 0.1 # maximum depointing angle [degrees]\\r\\n\\r\\n# creating a reception object\\r\\nreception = Reception(ant_size, ant_eff, coupling_loss, polarization_loss, lnb_gain, lnb_noise_temp, cable_loss,\\r\\n max_depoint)\\r\\n\\r\\nsat.set_reception(reception) # relating the ground station object to a satellite one\\r\\n\\r\\navailability_vector = []\\r\\n\\r\\nant_min = 0.6\\r\\nant_max = 4.5\\r\\nstep = 0.2\\r\\ninterp_step = int(round((ant_max - ant_min) * 100))\\r\\n\\r\\nant_size_vector = np.arange(ant_min, ant_max, step)\\r\\nx_new = np.linspace(ant_min, ant_max, interp_step)\\r\\n\\r\\ncheck = False\\r\\nfor ant_size in ant_size_vector:\\r\\n sat.reception.ant_size = ant_size\\r\\n availability_vector.append(sat.get_availability())\\r\\n # print(sat.get_availability())\\r\\n if sat.get_availability() >= 99.999 and check is False:\\r\\n max_availability_x = ant_size\\r\\n max_availability_y = sat.get_availability()\\r\\n check = True\\r\\n\\r\\na_BSpline = interpolate.make_interp_spline(ant_size_vector, availability_vector)\\r\\ny_new = a_BSpline(x_new)\\r\\nfig, (ax1, ax2) = plt.subplots(2)\\r\\nfig.suptitle('Antenna Size x Year availability')\\r\\navailability_time_vector = (1 - np.array(availability_vector)/100) * 8760\\r\\n\\r\\n# ax1.plot(ant_size_vector, availability_vector)\\r\\nax1.plot(x_new, y_new)\\r\\n\\r\\nax2.plot(ant_size_vector, availability_time_vector)\\r\\n# ax1.xlabel(' Antenna Size (m)')\\r\\n# ax1.ylabel(' Availability (%year)')\\r\\n# ax2.ylabel(' Availability (hours/year)')\\r\\n\\r\\nplt.setp(ax1, ylabel='Availability (%year)')\\r\\nplt.setp(ax2, xlabel='Antenna size')\\r\\nplt.setp(ax2, ylabel='Availability (hours/year)')\\r\\nplt.show()\\r\\n\\r\\n# plt.plot(ant_size_vector, availability_vector)\\r\\n# plt.plot(max_availability_x, max_availability_y)\\r\\n# plt.xlabel(' Antenna Size (m)')\\r\\n# plt.ylabel(' Availability (%year)')\\r\\n# plt.title('Antenna Size x Year availability')\\r\\n# plt.show()\"\n },\n {\n \"alpha_fraction\": 0.5568408370018005,\n \"alphanum_fraction\": 0.5624251961708069,\n \"avg_line_length\": 32.81944274902344,\n \"blob_id\": \"09426af886165000c5577536c1583d45372e5268\",\n \"content_id\": \"6c903605451f9848f26f69993b95ad9dfca447d7\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2507,\n \"license_type\": \"permissive\",\n \"max_line_length\": 101,\n \"num_lines\": 72,\n \"path\": \"/file_dialog.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sys\\r\\nfrom PyQt5.QtWidgets import QApplication, QWidget, QInputDialog, QLineEdit, QFileDialog\\r\\nfrom PyQt5.QtGui import QIcon\\r\\nfrom PyQt5 import QtCore, QtGui\\r\\nimport pickle\\r\\n\\r\\n\\r\\n# file dialog window\\r\\n# used to save and load the ground station, satellite and reception files\\r\\n# it uses the function open_dialog(opt, type) to run the window\\r\\n# opt is to choose 'save' or 'load' options\\r\\n# type a string used to define the extension of the file\\r\\n\\r\\nclass Dialog(QWidget):\\r\\n\\r\\n def __init__(self, opt, type):\\r\\n super().__init__()\\r\\n self.title = 'PyQt5 file dialogs - pythonspot.com'\\r\\n self.left = 10\\r\\n self.top = 10\\r\\n self.width = 640\\r\\n self.height = 480\\r\\n self.opt = opt\\r\\n self.type = type\\r\\n self.initUI()\\r\\n self.fileName = None\\r\\n\\r\\n def initUI(self):\\r\\n self.setWindowTitle(self.title)\\r\\n self.setGeometry(self.left, self.top, self.width, self.height)\\r\\n\\r\\n if self.opt == 'save':\\r\\n self.saveFileDialog()\\r\\n elif self.opt == 'load':\\r\\n self.openFileNameDialog()\\r\\n else:\\r\\n sys.exit('Dialog boss option not expected!')\\r\\n # self.openFileNamesDialog()\\r\\n\\r\\n def openFileNameDialog(self):\\r\\n options = QFileDialog.Options()\\r\\n options |= QFileDialog.DontUseNativeDialog\\r\\n fileDialog = QFileDialog(self)\\r\\n fileDialog.setAttribute(QtCore.Qt.WA_QuitOnClose, False)\\r\\n self.fileName, _ = fileDialog.getOpenFileName(None, \\\"Open File\\\", \\\"\\\",\\r\\n self.type + \\\";;All Files (*)\\\", options=options)\\r\\n if self.fileName:\\r\\n with open('temp\\\\\\\\load.pkl', 'wb') as f:\\r\\n pickle.dump(self.fileName, f)\\r\\n f.close()\\r\\n return\\r\\n else:\\r\\n return\\r\\n\\r\\n def saveFileDialog(self):\\r\\n options = QFileDialog.Options()\\r\\n options |= QFileDialog.DontUseNativeDialog\\r\\n fileDialog = QFileDialog(self)\\r\\n fileDialog.setAttribute(QtCore.Qt.WA_QuitOnClose, False)\\r\\n self.fileName, _ = fileDialog.getSaveFileName(None, \\\"Save File\\\", \\\"\\\",\\r\\n self.type + \\\";;All Files (*)\\\", options=options)\\r\\n if self.fileName:\\r\\n with open('temp\\\\\\\\save.pkl', 'wb') as f:\\r\\n pickle.dump(self.fileName, f)\\r\\n f.close()\\r\\n return\\r\\n else:\\r\\n return\\r\\n\\r\\n\\r\\ndef open_dialog(opt, type):\\r\\n Dialog(opt, type)\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.5366364121437073,\n \"alphanum_fraction\": 0.6015352606773376,\n \"avg_line_length\": 24.766355514526367,\n \"blob_id\": \"f8bc7170370e0966ae2bbc1cb1dbb376a37894b4\",\n \"content_id\": \"b9c3faf032eee9d715c7bb04816b1a3331adc86c\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2894,\n \"license_type\": \"permissive\",\n \"max_line_length\": 114,\n \"num_lines\": 107,\n \"path\": \"/models/RainAtt.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\r\\nfrom numpy import log as ln\\r\\nfrom models.spec_att import specific_attenuation\\r\\nfrom sat import satellite\\r\\nfrom GrStat import ground_station\\r\\n\\r\\n\\r\\n# VARIÁVEIS DE ENTRADA\\r\\n\\r\\nsite_lat = -3.7\\r\\nsite_long = -45.9\\r\\nsat_long = -70\\r\\nf = 3.5\\r\\ntau = 90 #H=0, V = 90, circ = 45\\r\\nhS = 0.447 #altura da estação terrena\\r\\nant_diam = 1.2\\r\\np = 0.01\\r\\n\\r\\nstation = ground_station(site_lat, site_long, ant_diam)\\r\\n# primeiro passo - determinar R0,01\\r\\n\\r\\nR001 = station.get_R001()\\r\\n\\r\\n# segundo passo - calcular a altura efetiva da chuva hR\\r\\n\\r\\nhR = station.get_hR()\\r\\n\\r\\n# terceiro passo - calcular o percurso inclinado na chuva LS\\r\\n# hs - altura da estação terrena\\r\\n# E - angulo de elevação\\r\\n\\r\\nsat = satellite(sat_long, f)\\r\\nE = sat.get_elevation(site_lat, site_long)\\r\\nLS = (hR - hS) / np.sin(np.radians(E))\\r\\n\\r\\n# quarto passo - calcular a projeção no plano horizontal (LG) do percurso inclinado\\r\\n\\r\\nLG = LS * np.cos(np.radians(E))\\r\\n\\r\\n# quinto passo - calular a atenuação específica gamaR\\r\\n# isto é feito através da classe specific_attenuation (ref. ITU P.838-3)\\r\\n\\r\\ngamaR = specific_attenuation().get_gamaR(R001, f, E, tau)\\r\\n\\r\\n# sexto passo - calcular o fator de redução horizontal r001\\r\\n\\r\\nr001 = (1 + 0.078 * np.sqrt(LG * gamaR / f) - 0.38 * (1 - np.exp(-2 * LG))) ** (-1)\\r\\n\\r\\n# sétimo passo - calcular o fator de ajuste vertical v001\\r\\n# para se obter o v001, é necessário calcular outras variáveis - zeta, LR e chi\\r\\n\\r\\n# zeta (graus)\\r\\nzeta = np.tan(np.radians((hR - hS) / (LG * r001))) ** (-1)\\r\\n\\r\\n# LR (km)\\r\\nif zeta > E:\\r\\n LR = LG * r001 / np.cos(np.radians(E))\\r\\nelse:\\r\\n LR = (hR - hS) / np.sin(np.radians(E))\\r\\n# chi\\r\\nif abs(site_lat) < 36:\\r\\n chi = 36 - abs(site_lat)\\r\\nelse:\\r\\n chi = 0\\r\\n\\r\\nv001 = (1 + np.sqrt(np.sin(np.radians(E))) * (\\r\\n 31 * (1 - np.exp(-E / (1 + chi))) * (np.sqrt(LR * gamaR) / f ** 2) - 0.45)) ** (-1)\\r\\n\\r\\n# oitavo passo - calcular a distância LE do percurso (km)\\r\\n\\r\\nLE = LR * v001\\r\\n\\r\\n# nono passo - finalmente, a atenuação excedida para 0,01% da média anual A001\\r\\n\\r\\nA001 = gamaR * LE\\r\\n\\r\\n# CONVERSÃO PARA OUTROS VALORES DO PROBABILIDADE p DA CHUVA ALÉM DE 0,01% (menor que 5%)\\r\\n\\r\\nif p > 0.0001:\\r\\n # determinação de beta\\r\\n\\r\\n if p >= 0.01 or abs(site_lat) > 36:\\r\\n beta = 0\\r\\n elif p <= 0.01 and abs(site_lat) < 36 and E > 25:\\r\\n beta = -0.005 * (abs(site_lat) - 36)\\r\\n else:\\r\\n beta = -0.005 * (abs(site_lat) - 36) + 1.8 - 4.25 * np.sin(np.radians(E))\\r\\n\\r\\n # convertendo o balor de A001 para o valor Ap de um p diferente\\r\\n\\r\\n Ap = A001 * (p / 0.01) ** -(0.655 + 0.033 * ln(p) - 0.045 * ln(A001) - beta * (1 - p) * np.sin(np.radians(E)))\\r\\n\\r\\nelse:\\r\\n\\r\\n Ap = A001\\r\\nprint('E ', E)\\r\\nprint('hR ', hR)\\r\\nprint('LS ', LS)\\r\\nprint('LG ', LG)\\r\\nprint('zeta ', zeta)\\r\\nprint('chi ', chi)\\r\\nprint('gamaR ', gamaR)\\r\\nprint('r001 ', r001)\\r\\nprint('vv001 ', v001)\\r\\nprint('LE ', LE)\\r\\nprint('AP ', Ap)\\r\\nprint('A001 ', A001)\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.5985184907913208,\n \"alphanum_fraction\": 0.6340740919113159,\n \"avg_line_length\": 35.61111068725586,\n \"blob_id\": \"932caf519d3c8e90d0f1a7621495ebb062aac26f\",\n \"content_id\": \"c178e8fc976423750fc2dd91b1dcbfe75b98d677\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 675,\n \"license_type\": \"permissive\",\n \"max_line_length\": 113,\n \"num_lines\": 18,\n \"path\": \"/first_setup.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sys\\r\\nimport subprocess\\r\\n\\r\\n# package list must follow the installation guide in README.md\\r\\npackage_list = ('itur==0.2.1', 'tqdm==4.56.0', 'pandas==1.2.1', 'pathos==0.2.7', 'astropy==4.2', 'pyqt5==5.15.2',\\r\\n 'matplotlib==3.4.1')\\r\\n\\r\\nfor package in package_list:\\r\\n # implement pip as a subprocess:\\r\\n subprocess.check_call([sys.executable, '-m', 'pip', 'install',package])\\r\\n\\r\\n # process output with an API in the subprocess module:\\r\\n reqs = subprocess.check_output([sys.executable, '-m', 'pip','freeze'])\\r\\n installed_packages = [r.decode().split('==')[0] for r in reqs.split()]\\r\\n\\r\\n print(installed_packages)\\r\\n\\r\\nprint('Process Completed!!!')\"\n },\n {\n \"alpha_fraction\": 0.7215891480445862,\n \"alphanum_fraction\": 0.7234538197517395,\n \"avg_line_length\": 41.768707275390625,\n \"blob_id\": \"bc3ee179bf5c5b80c52b29a4767274b4d27d6449\",\n \"content_id\": \"9b86d5cfef983304576cb40d0ef402192f0edc20\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 19306,\n \"license_type\": \"permissive\",\n \"max_line_length\": 156,\n \"num_lines\": 441,\n \"path\": \"/mkdocs/docs/gui_use.md\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Graphical User Interface\\r\\n\\r\\nTo use Satlink's graphical interface, the user must run **main_window.py** via python.\\r\\n\\r\\nFrom there, the user has 4 list options [File](#file), [Single Point Calculation](#single-point-calculation), \\r\\n[List Calculation](#list-calculation) and [Help](#help).\\r\\n\\r\\n\\r\\n\\r\\n
\\r\\n\\r\\n## File\\r\\nSame as Satlink's main classes, the graphical user interface uses 3 types of parameters: [satellite parameters](#satellite), \\r\\n[reception parameters](#reception) and [ground station parameters](#ground-station). Each one has a unique file extension and can be saved/loaded. \\r\\nThe File menu lists page options to manage these files outside of calculation windows.\\r\\n\\r\\nSee [save/load dialog](#saveload-dialog-boxes) window for more details in these options and [file types](#file-types).\\r\\n\\r\\n\\r\\n\\r\\n### Satellite\\r\\n\\r\\nTo create a satellite, one user must fill the following fields:\\r\\n\\r\\n* Name: satellite identification name \\r\\n* Longitude: geostationary satellite longitude in degrees\\r\\n* Frequency: frequency in GHz\\r\\n* E.I.R.P: transponder maximum E.I.R.P. in dBW\\r\\n* Altitude: satellite height in Km\\r\\n* Transponder's max bandwidth: transponder bandwidth in MHz\\r\\n* Effective bandwidth: actual used transponder bandwidth\\r\\n* back_off: decrease in transmitted power to avoid non-linear amplification\\r\\n* Modulation: modulations and FEC combinations from the available list of modulations/FECs\\r\\n* Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\\r\\n* Polarization: horizontal, vertical or circular polarization\\r\\n\\r\\n\\r\\n\\r\\nClick on \\\"Save\\\" button to save satellite parameters to a .sat file. \\r\\n\\r\\nClick on \\\"Load\\\" button to load satellite parameters from a .sat file.\\r\\n\\r\\nClick on \\\"Clear\\\" button to clear all fields on the screen.\\r\\n\\r\\n### Ground Station\\r\\n\\r\\nTo create a ground station, one user must fill the following fields:\\r\\n\\r\\n* Name: ground station identification name \\r\\n* Latitude: site latitude in decimal degrees\\r\\n* Longitude: site longitude in decimal degrees\\r\\n\\r\\n\\r\\n\\r\\nClick on \\\"Save\\\" button to save satellite parameters to a .gst file. \\r\\n\\r\\nClick on \\\"Load\\\" button to load satellite parameters from a .gst file.\\r\\n\\r\\nClick on \\\"Clear\\\" button to clear all fields on the screen.\\r\\n\\r\\n### Reception\\r\\n\\r\\nTo create a reception system, one user must fill the following fields:\\r\\n\\r\\n* Name: reception identification name \\r\\n* Antenna size: antenna diameter in meters\\r\\n* Antenna efficiency: antenna efficiency (between 0 and 1)\\r\\n* LNB gain: LNB (Low Noise Block) in dB\\r\\n* LNB noise temp.: LNB noise temperature in Kelvin\\r\\n* Additional losses: connection and any other losses considered at reception in dB\\r\\n* Cable loss: cable loss in dB\\r\\n* Maximum depointing: maximum depointing angle between transmission and reception (degrees)\\r\\n\\r\\n\\r\\n\\r\\nClick on \\\"Save\\\" button to save satellite parameters to a .rcp file. \\r\\n\\r\\nClick on \\\"Load\\\" button to load satellite parameters from a .rcp file.\\r\\n\\r\\nClick on \\\"Clear\\\" button to clear all fields on the screen.\\r\\n\\r\\n## Single Point Calculation\\r\\n\\r\\nSingle point calculations consists in 3 types of functionalities: [Atmospheric Attenuation](#atmospheric-attenuation), \\r\\n[Downlink Performance](#downlink-performance) and [Antenna Size](#antenna-size). This type of operation returns a complete analysis in a report type format.\\r\\n\\r\\n\\r\\n\\r\\n### Atmospheric Attenuation\\r\\n\\r\\nIn this screen, the user can estimate complete atmospheric attenuation data with minimum parameters.\\r\\n\\r\\n#### Inputs\\r\\n\\r\\n* **Reception parameters** (ground station coordinates + reception antenna parameters):\\r\\n * Latitude: site longitude in decimal degrees\\r\\n * Longitude: site longitude in decimal degrees\\r\\n * Antenna size: antenna diameter in meters\\r\\n * Antenna efficiency: antenna efficiency (between 0 and 1) \\r\\n* **Satellite parameters**:\\r\\n * Longitude: geostationary satellite longitude in degrees\\r\\n * Frequency: frequency in GHz\\r\\n * Polarization: horizontal, vertical or circular polarization\\r\\n* Excess % of time per year: percentage of time the values are exceeded\\r\\n* Method: exact or approximate calculation methods from ITU 676\\r\\n \\r\\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\\r\\n\\r\\n#### Buttons\\r\\n\\r\\n* Load Ground Station: loads latitude and longitude from a .gst file.\\r\\n* Load Reception: loads antenna size and antenna efficiency from a .rcp file.\\r\\n* Load Satellite: loads satellite parameters from a .sat file.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n#### Outputs\\r\\n\\r\\n* Earth's radius in lat/long (km)\\r\\n* Elevation angle (degrees)\\r\\n* Link length (km)\\r\\n* Ground noise temperature (K)\\r\\n* Sky brightness temperature (K)\\r\\n* Antenna noise temperature (K)\\r\\n* Antenna noise temperature w/ rain (K)\\r\\n* Total noise temperature (K)\\r\\n* Reception antenna gain (dBi)\\r\\n* Reception antenna 3dB beamwidth (degrees)\\r\\n* Figure of Merit (dB/K)\\r\\n* Gaseous attenuation (dB)\\r\\n* Cloud attenuation (dB)\\r\\n* Rain attenuation (dB)\\r\\n* Scintillation attenuation (dB)\\r\\n* Total atmospheric attenuation (dB)\\r\\n* Free space attenuation (dB)\\r\\n* Free space + atmospheric + depointing attenuation (dB)\\r\\n\\r\\n\\r\\n### Downlink Performance\\r\\n\\r\\nIn this screen, the user can estimate a link budget and availability of a satellite downlink.\\r\\n\\r\\n#### Inputs\\r\\n\\r\\n* **Ground Station parameters**\\r\\n * Name: ground station identification name \\r\\n * Latitude: site latitude in decimal degrees\\r\\n * Longitude: site longitude in decimal degrees\\r\\n* **Satellite parameters**\\r\\n * Name: satellite identification name \\r\\n * Longitude: geostationary satellite longitude in degrees\\r\\n * Frequency: frequency in GHz\\r\\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\\r\\n * Altitude: satellite height in Km\\r\\n * Transponder's max bandwidth: transponder bandwidth in MHz\\r\\n * Effective bandwidth: actual used transponder bandwidth\\r\\n * back_off: decrease in transmitted power to avoid non-linear amplification\\r\\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\\r\\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\\r\\n * Polarization: horizontal, vertical or circular polarization\\r\\n* **Reception parameters**\\r\\n * Name: reception identification name \\r\\n * Antenna size: antenna diameter in meters\\r\\n * Antenna efficiency: antenna efficiency (between 0 and 1)\\r\\n * LNB gain: LNB (Low Noise Block) in dB\\r\\n * LNB noise temp.: LNB noise temperature in Kelvin\\r\\n * Additional losses: connection and any other losses considered in the reception in dB\\r\\n * Cable loss: cable loss in dB\\r\\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\\r\\n* **Calculation parameters**\\r\\n * SNR target relaxation: (+-) relaxation over the error between the target value and actual snr in availability\\r\\n calculation\\r\\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \\r\\n the calculation target equals the modulation threshold.\\r\\n \\r\\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\\r\\n\\r\\n#### Buttons\\r\\n\\r\\n* **Ground Station buttons**\\r\\n * Clear: clears ground station fields\\r\\n * Load: loads ground station parameters from a .gst file.\\r\\n * Save: loads ground station parameters into a .gst file.\\r\\n* **Reception buttons**\\r\\n * Clear: clears reception fields\\r\\n * Load Reception: loads reception parameters from a .rcp file.\\r\\n * Save: loads reception parameters into a .rcp file.\\r\\n* **Satellite buttons**\\r\\n * Clear: clears satellite fields\\r\\n * Load Reception: loads satellite parameters from a .rcp file.\\r\\n * Save: loads satellite parameters into a .rcp file.\\r\\n* Calculate: runs the link performance calculation.\\r\\n\\r\\n\\r\\n\\r\\n#### Outputs\\r\\n\\r\\n* Link budget at 0.001% of the year\\r\\n * C/N0 (dB)\\r\\n * SNR (dB)\\r\\n* Actual SNR target's availability (year%)\\r\\n* Reception characteristics:\\r\\n * Earth's radius in lat/long (km)\\r\\n * Elevation angle (degrees)\\r\\n * Link length (km)\\r\\n * Ground noise temperature (K)\\r\\n * Sky brightness temperature (K)\\r\\n * Antenna noise temperature (K)\\r\\n * Antenna noise temperature w/ rain (K)\\r\\n * Total noise temperature (K)\\r\\n * Reception antenna gain (dBi)\\r\\n * Reception antenna 3dB beamwidth (degrees)\\r\\n * Figure of Merit (dB/K)\\r\\n* Link budget Analysis:\\r\\n * Gaseous attenuation (dB)\\r\\n * Cloud attenuation (dB)\\r\\n * Rain attenuation (dB)\\r\\n * Scintillation attenuation (dB)\\r\\n * Total atmospheric attenuation (dB)\\r\\n * Free space attenuation (dB)\\r\\n * Free space + atmospheric + depointing attenuation (dB)\\r\\n * Reception threshold (SNR) (dB)\\r\\n \\r\\n### Antenna Size\\r\\n\\r\\nIn this screen, the user can estimate the availability for multiple antenna sizes of a satellite downlink.\\r\\n\\r\\n#### Inputs\\r\\n\\r\\n* **Ground Station parameters**\\r\\n * Name: ground station identification name \\r\\n * Latitude: site latitude in decimal degrees\\r\\n * Longitude: site longitude in decimal degrees\\r\\n* **Satellite parameters**\\r\\n * Name: satellite identification name \\r\\n * Longitude: geostationary satellite longitude in degrees\\r\\n * Frequency: frequency in GHz\\r\\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\\r\\n * Altitude: satellite height in Km\\r\\n * Transponder's max bandwidth: transponder bandwidth in MHz\\r\\n * Effective bandwidth: actual used transponder bandwidth\\r\\n * back_off: decrease in transmitted power to avoid non-linear amplification\\r\\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\\r\\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\\r\\n * Polarization: horizontal, vertical or circular polarization\\r\\n* **Reception parameters**\\r\\n * Name: reception identification name\\r\\n * Antenna efficiency: antenna efficiency (between 0 and 1)\\r\\n * LNB gain: LNB (Low Noise Block) in dB\\r\\n * LNB noise temp.: LNB noise temperature in Kelvin\\r\\n * Additional losses: connection and any other losses considered in the reception in dB\\r\\n * Cable loss: cable loss in dB\\r\\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\\r\\n* **Calculation parameters**\\r\\n * Ant. min. size: minimum antenna diameter to be calculated in meters\\r\\n * Ant. max. size: maximum antenna diameter to be calculated in meters\\r\\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \\r\\n the calculation target equals the modulation threshold.\\r\\n \\r\\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\\r\\n\\r\\n#### Buttons\\r\\n\\r\\n* **Ground Station buttons**\\r\\n * Clear: clears ground station fields\\r\\n * Load: loads ground station parameters from a .gst file.\\r\\n * Save: loads ground station parameters into a .gst file.\\r\\n* **Reception buttons**\\r\\n * Clear: clears reception fields\\r\\n * Load Reception: loads reception parameters from a .rcp file.\\r\\n * Save: loads reception parameters into a .rcp file.\\r\\n* **Satellite buttons**\\r\\n * Clear: clears satellite fields\\r\\n * Load Reception: loads satellite parameters from a .rcp file.\\r\\n * Save: loads satellite parameters into a .rcp file.\\r\\n* Calculate button: runs the link performance calculation.\\r\\n* Export graph button: save the displayed graph in a .png image file.\\r\\n\\r\\n\\r\\n\\r\\n#### Outputs\\r\\n\\r\\nThere are two outputs in this operation: a list in text format containing antenna size vs. availability and \\r\\na matplotlib graph will also be displayed.\\r\\n\\r\\n## List Calculation \\r\\n\\r\\nMultiple point calculations consists in 2 functionalities: **Downlink Performance** and **Antenna Size**. \\r\\nThese operations use a .csv file as input and return a new .csv file with a result column.\\r\\n\\r\\n\\r\\n\\r\\n### Downlink Performance\\r\\n\\r\\nIn this screen, the user can estimate the availability of satellite downlink for multiple points.\\r\\n\\r\\n##### Inputs\\r\\n* Path: path to the input .csv file \\r\\n * .csv file columns: Name, Lat, Long, Delta Footprint (optional)\\r\\n * Name: point name\\r\\n * Lat: point latitude in decimal degrees\\r\\n * Longitude: point longitude in decimal degrees\\r\\n * Delta Footprint: optional argument. Represents the difference between the maximum power \\r\\n received and the received one in the chosen coordinate (in case of footprint differences between coordinates)\\r\\n * a .csv example can be found in **input examples** folder\\r\\n* **Satellite parameters**\\r\\n * Name: satellite identification name \\r\\n * Longitude: geostationary satellite longitude in degrees\\r\\n * Frequency: frequency in GHz\\r\\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\\r\\n * Altitude: satellite height in Km\\r\\n * Transponder's max bandwidth: transponder bandwidth in MHz\\r\\n * Effective bandwidth: actual used transponder bandwidth\\r\\n * back_off: decrease in transmitted power to avoid non-linear amplification\\r\\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\\r\\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\\r\\n * Polarization: horizontal, vertical or circular polarization\\r\\n* **Reception parameters**\\r\\n * Name: reception identification name \\r\\n * Antenna size: antenna diameter in meters\\r\\n * Antenna efficiency: antenna efficiency (between 0 and 1)\\r\\n * LNB gain: LNB (Low Noise Block) in dB\\r\\n * LNB noise temp.: LNB noise temperature in Kelvin\\r\\n * Additional losses: connection and any other losses considered in the reception in dB\\r\\n * Cable loss: cable loss in dB\\r\\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\\r\\n* **Calculation parameters**\\r\\n * SNR target relaxation: (+-) relaxation over the error between the target value and actual SNR in availability\\r\\n calculation\\r\\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \\r\\n the calculation target equals the modulation threshold.\\r\\n * Threads: number of simultaneous executed calculations. The maximum number o threads depends on the user's processor. \\r\\n \\r\\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\\r\\n\\r\\n#### Buttons\\r\\n\\r\\n* Browse button: opens a dialog box to select the .csv file used as input for the calculations.\\r\\n* **Reception buttons**\\r\\n * Clear: clears reception fields\\r\\n * Load Reception: loads reception parameters from a .rcp file.\\r\\n * Save: loads reception parameters into a .rcp file.\\r\\n* **Satellite buttons**\\r\\n * Clear: clears satellite fields\\r\\n * Load Reception: loads satellite parameters from a .rcp file.\\r\\n * Save: loads satellite parameters into a .rcp file.\\r\\n* Calculate: runs the link performance calculation.\\r\\n\\r\\n\\r\\n\\r\\n#### Outputs\\r\\n\\r\\nA progress bar will appear when the process is started. When the process is completed, the progress bar will \\r\\ndisappear, and a 'Complete!' message will show up. After that, the user can see the .csv output file in **results** folder. \\r\\n\\r\\n### Antenna Size\\r\\n\\r\\nIn this screen, the user can estimate the availability of satellite downlink for multiple points.\\r\\n\\r\\n##### Inputs\\r\\n* Path: path to the input .csv file \\r\\n * .csv file columns: Name, Lat, Long, Delta Footprint (optional)\\r\\n * Name: point name\\r\\n * Lat: point latitude in decimal degrees\\r\\n * Longitude: point longitude in decimal degrees\\r\\n * Delta Footprint: optional argument. Represents the difference between the maximum power \\r\\n received and the received one in the chosen coordinate (in case of footprint differences between coordinates)\\r\\n * a .csv example can be found in **input examples** folder\\r\\n* **Satellite parameters**\\r\\n * Name: satellite identification name \\r\\n * Longitude: geostationary satellite longitude in degrees\\r\\n * Frequency: frequency in GHz\\r\\n * E.I.R.P: transponder maximum E.I.R.P. in dBW\\r\\n * Altitude: satellite height in Km\\r\\n * Transponder's max bandwidth: transponder bandwidth in MHz\\r\\n * Effective bandwidth: actual used transponder bandwidth\\r\\n * back_off: decrease in transmitted power to avoid non-linear amplification\\r\\n * Modulation: modulations and FEC combinations from the available list of modulations/FECs\\r\\n * Roll-off: factor of spectral efficiency, ROF (Roll-Off Factor)\\r\\n * Polarization: horizontal, vertical or circular polarization\\r\\n* **Reception parameters**\\r\\n * Name: reception identification name\\r\\n * LNB gain: LNB (Low Noise Block) in dB\\r\\n * LNB noise temp.: LNB noise temperature in Kelvin\\r\\n * Additional losses: connection and any other losses considered in the reception in dB\\r\\n * Cable loss: cable loss in dB\\r\\n * Maximum depointing: maximum depointing angle between transmission and reception (degrees)\\r\\n * Antenna efficiency: antenna efficiency (between 0 and 1)\\r\\n* **Calculation parameters**\\r\\n * Availability target: availability to be achieved in calculations (% - between 0 and 99.999). \\r\\n Satlink will choose the minimum atenna size for the chosen availability.\\r\\n * SNR target relaxation: (+-) relaxation over the error between the target value and actual SNR in availability\\r\\n calculation\\r\\n * Margin: summed value over the modulation threshold to be considered. If margin = 0, \\r\\n the calculation target equals the modulation threshold.\\r\\n * Threads: number of simultaneous executed calculations. The maximum number o threads depends on the user's processor. \\r\\n \\r\\nDefault Satellites box has a satellite list that sets the longitude coordinates accordingly.\\r\\n\\r\\n#### Buttons\\r\\n\\r\\n* Browse button: opens a dialog box to select the .csv file used as input for the calculations.\\r\\n* **Reception buttons**\\r\\n * Clear: clears reception fields\\r\\n * Load Reception: loads reception parameters from a .rcp file.\\r\\n * Save: loads reception parameters into a .rcp file.\\r\\n* **Satellite buttons**\\r\\n * Clear: clears satellite fields\\r\\n * Load Reception: loads satellite parameters from a .rcp file.\\r\\n * Save: loads satellite parameters into a .rcp file.\\r\\n* Calculate: runs the link performance calculation.\\r\\n\\r\\n\\r\\n\\r\\n#### Outputs\\r\\n\\r\\nA progress bar will appear when the process is started. When the process is completed, the progress bar will \\r\\ndisappear, and a 'Complete!' message will show up. After that, the user can see the .csv output file in **results** folder.\\r\\n\\r\\n## Save/load dialog boxes\\r\\n\\r\\nWhen every save/load/export button is clicked, a dialog box will open with file path, name and type as options.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\nTrying to load a different type of file extension might crash the software.\\r\\n\\r\\n## File types\\r\\n\\r\\nFor file input examples, please check **inputs_examples** folder.\\r\\n\\r\\n* **.sat** - satellite characteristics file\\r\\n* **.rcp** - reception characteristics file\\r\\n* **.gsp** - ground station characteristics file\\r\\n* **.csv** - list calculation functions input/output format\\r\\n\\r\\n## Help\\r\\n\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.5845065712928772,\n \"alphanum_fraction\": 0.6330817937850952,\n \"avg_line_length\": 57.262516021728516,\n \"blob_id\": \"622c9d785d7f5250045c8ea1c36adbf47db04bef\",\n \"content_id\": \"e9b89ed92638f87f523e6b8fc0c7096c2471a1bf\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 363457,\n \"license_type\": \"permissive\",\n \"max_line_length\": 149,\n \"num_lines\": 6133,\n \"path\": \"/main_window.py\",\n \"repo_name\": \"EzraCerpac/SatLink\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\r\\n\\r\\n# Form implementation generated from reading ui file 'UI\\\\main.ui'\\r\\n#\\r\\n# Created by: PyQt5 UI code generator 5.15.2\\r\\n#\\r\\n# WARNING: Any manual changes made to this file will be lost when pyuic5 is\\r\\n# run again. Do not edit this file unless you know what you are doing.\\r\\n\\r\\n\\r\\nfrom PyQt5 import QtCore, QtGui, QtWidgets\\r\\n\\r\\n\\r\\nclass Ui_MainWindow(object):\\r\\n def setupUi(self, MainWindow):\\r\\n MainWindow.setObjectName(\\\"MainWindow\\\")\\r\\n MainWindow.resize(820, 911)\\r\\n sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Fixed)\\r\\n sizePolicy.setHorizontalStretch(0)\\r\\n sizePolicy.setVerticalStretch(0)\\r\\n sizePolicy.setHeightForWidth(MainWindow.sizePolicy().hasHeightForWidth())\\r\\n MainWindow.setSizePolicy(sizePolicy)\\r\\n icon = QtGui.QIcon()\\r\\n icon.addPixmap(QtGui.QPixmap(\\\"UI\\\\\\\\icon.png\\\"), QtGui.QIcon.Normal, QtGui.QIcon.Off)\\r\\n MainWindow.setWindowIcon(icon)\\r\\n MainWindow.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n MainWindow.setAnimated(True)\\r\\n MainWindow.setTabShape(QtWidgets.QTabWidget.Rounded)\\r\\n self.centralwidget = QtWidgets.QWidget(MainWindow)\\r\\n self.centralwidget.setObjectName(\\\"centralwidget\\\")\\r\\n self.stackedWidget = QtWidgets.QStackedWidget(self.centralwidget)\\r\\n self.stackedWidget.setGeometry(QtCore.QRect(0, -1, 811, 861))\\r\\n self.stackedWidget.setObjectName(\\\"stackedWidget\\\")\\r\\n self.home_page = QtWidgets.QWidget()\\r\\n self.home_page.setObjectName(\\\"home_page\\\")\\r\\n self.label_5 = QtWidgets.QLabel(self.home_page)\\r\\n self.label_5.setGeometry(QtCore.QRect(217, 270, 431, 391))\\r\\n self.label_5.setText(\\\"\\\")\\r\\n self.label_5.setPixmap(QtGui.QPixmap(\\\"UI\\\\\\\\home_logo.png\\\"))\\r\\n self.label_5.setObjectName(\\\"label_5\\\")\\r\\n self.stackedWidget.addWidget(self.home_page)\\r\\n self.satellite_page = QtWidgets.QWidget()\\r\\n self.satellite_page.setObjectName(\\\"satellite_page\\\")\\r\\n self.groupBox_9 = QtWidgets.QGroupBox(self.satellite_page)\\r\\n self.groupBox_9.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_9.setFont(font)\\r\\n self.groupBox_9.setAutoFillBackground(False)\\r\\n self.groupBox_9.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_9.setObjectName(\\\"groupBox_9\\\")\\r\\n self.label_31 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_31.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_31.setObjectName(\\\"label_31\\\")\\r\\n self.label_54 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_54.setGeometry(QtCore.QRect(20, 80, 161, 21))\\r\\n self.label_54.setObjectName(\\\"label_54\\\")\\r\\n self.name_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.name_sat.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_sat.setObjectName(\\\"name_sat\\\")\\r\\n self.long_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.long_sat.setGeometry(QtCore.QRect(200, 80, 101, 22))\\r\\n self.long_sat.setObjectName(\\\"long_sat\\\")\\r\\n self.save_sat = QtWidgets.QPushButton(self.groupBox_9)\\r\\n self.save_sat.setGeometry(QtCore.QRect(680, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat.setFont(font)\\r\\n self.save_sat.setObjectName(\\\"save_sat\\\")\\r\\n self.load_sat = QtWidgets.QPushButton(self.groupBox_9)\\r\\n self.load_sat.setGeometry(QtCore.QRect(550, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat.setFont(font)\\r\\n self.load_sat.setObjectName(\\\"load_sat\\\")\\r\\n self.default_sat = QtWidgets.QComboBox(self.groupBox_9)\\r\\n self.default_sat.setGeometry(QtCore.QRect(650, 70, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat.setFont(font)\\r\\n self.default_sat.setObjectName(\\\"default_sat\\\")\\r\\n self.label_55 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_55.setGeometry(QtCore.QRect(650, 40, 131, 16))\\r\\n self.label_55.setObjectName(\\\"label_55\\\")\\r\\n self.label_56 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_56.setGeometry(QtCore.QRect(330, 78, 111, 16))\\r\\n self.label_56.setObjectName(\\\"label_56\\\")\\r\\n self.height_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.height_sat.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.height_sat.setObjectName(\\\"height_sat\\\")\\r\\n self.label_59 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_59.setGeometry(QtCore.QRect(330, 119, 121, 16))\\r\\n self.label_59.setObjectName(\\\"label_59\\\")\\r\\n self.eirp_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.eirp_sat.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.eirp_sat.setObjectName(\\\"eirp_sat\\\")\\r\\n self.label_60 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_60.setGeometry(QtCore.QRect(20, 148, 171, 51))\\r\\n self.label_60.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_60.setObjectName(\\\"label_60\\\")\\r\\n self.max_bw_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.max_bw_sat.setGeometry(QtCore.QRect(200, 158, 101, 22))\\r\\n self.max_bw_sat.setObjectName(\\\"max_bw_sat\\\")\\r\\n self.label_61 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_61.setGeometry(QtCore.QRect(330, 143, 171, 51))\\r\\n self.label_61.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_61.setObjectName(\\\"label_61\\\")\\r\\n self.bw_util_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.bw_util_sat.setGeometry(QtCore.QRect(510, 156, 101, 22))\\r\\n self.bw_util_sat.setObjectName(\\\"bw_util_sat\\\")\\r\\n self.label_64 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_64.setGeometry(QtCore.QRect(20, 203, 61, 16))\\r\\n self.label_64.setObjectName(\\\"label_64\\\")\\r\\n self.rolloff_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.rolloff_sat.setGeometry(QtCore.QRect(200, 203, 101, 22))\\r\\n self.rolloff_sat.setObjectName(\\\"rolloff_sat\\\")\\r\\n self.label_65 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_65.setGeometry(QtCore.QRect(330, 203, 91, 16))\\r\\n self.label_65.setObjectName(\\\"label_65\\\")\\r\\n self.modcod_sat = QtWidgets.QComboBox(self.groupBox_9)\\r\\n self.modcod_sat.setGeometry(QtCore.QRect(450, 203, 161, 22))\\r\\n self.modcod_sat.setObjectName(\\\"modcod_sat\\\")\\r\\n self.label_66 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_66.setGeometry(QtCore.QRect(20, 120, 131, 20))\\r\\n self.label_66.setObjectName(\\\"label_66\\\")\\r\\n self.freq_sat = QtWidgets.QLineEdit(self.groupBox_9)\\r\\n self.freq_sat.setGeometry(QtCore.QRect(200, 120, 101, 22))\\r\\n self.freq_sat.setObjectName(\\\"freq_sat\\\")\\r\\n self.label_7 = QtWidgets.QLabel(self.groupBox_9)\\r\\n self.label_7.setGeometry(QtCore.QRect(673, 100, 91, 20))\\r\\n self.label_7.setObjectName(\\\"label_7\\\")\\r\\n self.pol_sat = QtWidgets.QComboBox(self.groupBox_9)\\r\\n self.pol_sat.setGeometry(QtCore.QRect(667, 130, 101, 22))\\r\\n self.pol_sat.setObjectName(\\\"pol_sat\\\")\\r\\n self.pol_sat.addItem(\\\"\\\")\\r\\n self.pol_sat.addItem(\\\"\\\")\\r\\n self.pol_sat.addItem(\\\"\\\")\\r\\n self.clear_sat = QtWidgets.QPushButton(self.groupBox_9)\\r\\n self.clear_sat.setGeometry(QtCore.QRect(420, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat.setFont(font)\\r\\n self.clear_sat.setObjectName(\\\"clear_sat\\\")\\r\\n self.stackedWidget.addWidget(self.satellite_page)\\r\\n self.ground_station_page = QtWidgets.QWidget()\\r\\n self.ground_station_page.setObjectName(\\\"ground_station_page\\\")\\r\\n self.groupBox = QtWidgets.QGroupBox(self.ground_station_page)\\r\\n self.groupBox.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox.setFont(font)\\r\\n self.groupBox.setAutoFillBackground(False)\\r\\n self.groupBox.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox.setObjectName(\\\"groupBox\\\")\\r\\n self.label = QtWidgets.QLabel(self.groupBox)\\r\\n self.label.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label.setObjectName(\\\"label\\\")\\r\\n self.label_2 = QtWidgets.QLabel(self.groupBox)\\r\\n self.label_2.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_2.setObjectName(\\\"label_2\\\")\\r\\n self.label_3 = QtWidgets.QLabel(self.groupBox)\\r\\n self.label_3.setGeometry(QtCore.QRect(20, 111, 161, 21))\\r\\n self.label_3.setObjectName(\\\"label_3\\\")\\r\\n self.name_ground_station_grstat = QtWidgets.QLineEdit(self.groupBox)\\r\\n self.name_ground_station_grstat.setGeometry(QtCore.QRect(100, 36, 271, 22))\\r\\n self.name_ground_station_grstat.setObjectName(\\\"name_ground_station_grstat\\\")\\r\\n self.long_ground_station_grstat = QtWidgets.QLineEdit(self.groupBox)\\r\\n self.long_ground_station_grstat.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.long_ground_station_grstat.setObjectName(\\\"long_ground_station_grstat\\\")\\r\\n self.lat_ground_station_grstat = QtWidgets.QLineEdit(self.groupBox)\\r\\n self.lat_ground_station_grstat.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_grstat.setObjectName(\\\"lat_ground_station_grstat\\\")\\r\\n self.save_ground_station_gdstation = QtWidgets.QPushButton(self.groupBox)\\r\\n self.save_ground_station_gdstation.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_gdstation.setFont(font)\\r\\n self.save_ground_station_gdstation.setObjectName(\\\"save_ground_station_gdstation\\\")\\r\\n self.load_ground_station_gdstation = QtWidgets.QPushButton(self.groupBox)\\r\\n self.load_ground_station_gdstation.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_gdstation.setFont(font)\\r\\n self.load_ground_station_gdstation.setObjectName(\\\"load_ground_station_gdstation\\\")\\r\\n self.clear_ground_station_gdstation = QtWidgets.QPushButton(self.groupBox)\\r\\n self.clear_ground_station_gdstation.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_gdstation.setFont(font)\\r\\n self.clear_ground_station_gdstation.setObjectName(\\\"clear_ground_station_gdstation\\\")\\r\\n self.stackedWidget.addWidget(self.ground_station_page)\\r\\n self.reception_page = QtWidgets.QWidget()\\r\\n self.reception_page.setObjectName(\\\"reception_page\\\")\\r\\n self.groupBox_3 = QtWidgets.QGroupBox(self.reception_page)\\r\\n self.groupBox_3.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_3.setFont(font)\\r\\n self.groupBox_3.setAutoFillBackground(False)\\r\\n self.groupBox_3.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_3.setObjectName(\\\"groupBox_3\\\")\\r\\n self.label_19 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_19.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_19.setObjectName(\\\"label_19\\\")\\r\\n self.label_20 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_20.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_20.setObjectName(\\\"label_20\\\")\\r\\n self.label_21 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_21.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_21.setObjectName(\\\"label_21\\\")\\r\\n self.name_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.name_reception_rcp.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_rcp.setObjectName(\\\"name_reception_rcp\\\")\\r\\n self.lnb_gain_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.lnb_gain_reception_rcp.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_rcp.setObjectName(\\\"lnb_gain_reception_rcp\\\")\\r\\n self.ant_size_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.ant_size_reception_rcp.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_rcp.setObjectName(\\\"ant_size_reception_rcp\\\")\\r\\n self.save_reception_rcp = QtWidgets.QPushButton(self.groupBox_3)\\r\\n self.save_reception_rcp.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_rcp.setFont(font)\\r\\n self.save_reception_rcp.setObjectName(\\\"save_reception_rcp\\\")\\r\\n self.load_reception_rcp = QtWidgets.QPushButton(self.groupBox_3)\\r\\n self.load_reception_rcp.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp.setFont(font)\\r\\n self.load_reception_rcp.setObjectName(\\\"load_reception_rcp\\\")\\r\\n self.label_23 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_23.setGeometry(QtCore.QRect(330, 80, 171, 16))\\r\\n self.label_23.setObjectName(\\\"label_23\\\")\\r\\n self.ant_eff_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.ant_eff_reception_rcp.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_rcp.setObjectName(\\\"ant_eff_reception_rcp\\\")\\r\\n self.label_24 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_24.setGeometry(QtCore.QRect(330, 119, 161, 16))\\r\\n self.label_24.setObjectName(\\\"label_24\\\")\\r\\n self.lnb_temp_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.lnb_temp_reception_rcp.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_rcp.setObjectName(\\\"lnb_temp_reception_rcp\\\")\\r\\n self.label_25 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_25.setGeometry(QtCore.QRect(20, 138, 171, 51))\\r\\n self.label_25.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_25.setObjectName(\\\"label_25\\\")\\r\\n self.aditional_losses_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.aditional_losses_reception_rcp.setGeometry(QtCore.QRect(200, 153, 101, 22))\\r\\n self.aditional_losses_reception_rcp.setObjectName(\\\"aditional_losses_reception_rcp\\\")\\r\\n self.label_26 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_26.setGeometry(QtCore.QRect(20, 187, 171, 51))\\r\\n self.label_26.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_26.setObjectName(\\\"label_26\\\")\\r\\n self.max_depoint_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.max_depoint_reception_rcp.setGeometry(QtCore.QRect(200, 200, 101, 22))\\r\\n self.max_depoint_reception_rcp.setObjectName(\\\"max_depoint_reception_rcp\\\")\\r\\n self.clear_reception_rcp = QtWidgets.QPushButton(self.groupBox_3)\\r\\n self.clear_reception_rcp.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp.setFont(font)\\r\\n self.clear_reception_rcp.setObjectName(\\\"clear_reception_rcp\\\")\\r\\n self.label_62 = QtWidgets.QLabel(self.groupBox_3)\\r\\n self.label_62.setGeometry(QtCore.QRect(330, 140, 171, 51))\\r\\n self.label_62.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_62.setObjectName(\\\"label_62\\\")\\r\\n self.cable_loss_reception_rcp = QtWidgets.QLineEdit(self.groupBox_3)\\r\\n self.cable_loss_reception_rcp.setGeometry(QtCore.QRect(510, 155, 101, 22))\\r\\n self.cable_loss_reception_rcp.setObjectName(\\\"cable_loss_reception_rcp\\\")\\r\\n self.stackedWidget.addWidget(self.reception_page)\\r\\n self.single_point_ant_size_calc_page = QtWidgets.QWidget()\\r\\n self.single_point_ant_size_calc_page.setObjectName(\\\"single_point_ant_size_calc_page\\\")\\r\\n self.stackedWidget_2 = QtWidgets.QStackedWidget(self.single_point_ant_size_calc_page)\\r\\n self.stackedWidget_2.setGeometry(QtCore.QRect(0, 0, 811, 861))\\r\\n self.stackedWidget_2.setObjectName(\\\"stackedWidget_2\\\")\\r\\n self.empty_page_2 = QtWidgets.QWidget()\\r\\n self.empty_page_2.setObjectName(\\\"empty_page_2\\\")\\r\\n self.label_13 = QtWidgets.QLabel(self.empty_page_2)\\r\\n self.label_13.setGeometry(QtCore.QRect(217, 270, 431, 391))\\r\\n self.label_13.setText(\\\"\\\")\\r\\n self.label_13.setPixmap(QtGui.QPixmap(\\\"UI\\\\\\\\home_logo.png\\\"))\\r\\n self.label_13.setObjectName(\\\"label_13\\\")\\r\\n self.stackedWidget_2.addWidget(self.empty_page_2)\\r\\n self.satellite_page_2 = QtWidgets.QWidget()\\r\\n self.satellite_page_2.setObjectName(\\\"satellite_page_2\\\")\\r\\n self.groupBox_12 = QtWidgets.QGroupBox(self.satellite_page_2)\\r\\n self.groupBox_12.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_12.setFont(font)\\r\\n self.groupBox_12.setAutoFillBackground(False)\\r\\n self.groupBox_12.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_12.setObjectName(\\\"groupBox_12\\\")\\r\\n self.label_38 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_38.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_38.setObjectName(\\\"label_38\\\")\\r\\n self.label_69 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_69.setGeometry(QtCore.QRect(20, 80, 161, 21))\\r\\n self.label_69.setObjectName(\\\"label_69\\\")\\r\\n self.name_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.name_sat_2.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_sat_2.setObjectName(\\\"name_sat_2\\\")\\r\\n self.long_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.long_sat_2.setGeometry(QtCore.QRect(200, 80, 101, 22))\\r\\n self.long_sat_2.setObjectName(\\\"long_sat_2\\\")\\r\\n self.save_sat_2 = QtWidgets.QPushButton(self.groupBox_12)\\r\\n self.save_sat_2.setGeometry(QtCore.QRect(680, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_2.setFont(font)\\r\\n self.save_sat_2.setObjectName(\\\"save_sat_2\\\")\\r\\n self.load_sat_2 = QtWidgets.QPushButton(self.groupBox_12)\\r\\n self.load_sat_2.setGeometry(QtCore.QRect(550, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_2.setFont(font)\\r\\n self.load_sat_2.setObjectName(\\\"load_sat_2\\\")\\r\\n self.default_sat_2 = QtWidgets.QComboBox(self.groupBox_12)\\r\\n self.default_sat_2.setGeometry(QtCore.QRect(650, 70, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_2.setFont(font)\\r\\n self.default_sat_2.setObjectName(\\\"default_sat_2\\\")\\r\\n self.label_70 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_70.setGeometry(QtCore.QRect(650, 40, 131, 16))\\r\\n self.label_70.setObjectName(\\\"label_70\\\")\\r\\n self.label_78 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_78.setGeometry(QtCore.QRect(330, 78, 111, 16))\\r\\n self.label_78.setObjectName(\\\"label_78\\\")\\r\\n self.height_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.height_sat_2.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.height_sat_2.setObjectName(\\\"height_sat_2\\\")\\r\\n self.label_79 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_79.setGeometry(QtCore.QRect(330, 119, 121, 16))\\r\\n self.label_79.setObjectName(\\\"label_79\\\")\\r\\n self.eirp_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.eirp_sat_2.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.eirp_sat_2.setObjectName(\\\"eirp_sat_2\\\")\\r\\n self.label_91 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_91.setGeometry(QtCore.QRect(20, 148, 171, 51))\\r\\n self.label_91.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_91.setObjectName(\\\"label_91\\\")\\r\\n self.max_bw_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.max_bw_sat_2.setGeometry(QtCore.QRect(200, 158, 101, 22))\\r\\n self.max_bw_sat_2.setObjectName(\\\"max_bw_sat_2\\\")\\r\\n self.label_92 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_92.setGeometry(QtCore.QRect(330, 143, 171, 51))\\r\\n self.label_92.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_92.setObjectName(\\\"label_92\\\")\\r\\n self.bw_util_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.bw_util_sat_2.setGeometry(QtCore.QRect(510, 156, 101, 22))\\r\\n self.bw_util_sat_2.setObjectName(\\\"bw_util_sat_2\\\")\\r\\n self.label_93 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_93.setGeometry(QtCore.QRect(20, 203, 61, 16))\\r\\n self.label_93.setObjectName(\\\"label_93\\\")\\r\\n self.rolloff_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.rolloff_sat_2.setGeometry(QtCore.QRect(200, 203, 101, 22))\\r\\n self.rolloff_sat_2.setObjectName(\\\"rolloff_sat_2\\\")\\r\\n self.label_94 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_94.setGeometry(QtCore.QRect(330, 203, 91, 16))\\r\\n self.label_94.setObjectName(\\\"label_94\\\")\\r\\n self.modcod_sat_2 = QtWidgets.QComboBox(self.groupBox_12)\\r\\n self.modcod_sat_2.setGeometry(QtCore.QRect(450, 203, 161, 22))\\r\\n self.modcod_sat_2.setObjectName(\\\"modcod_sat_2\\\")\\r\\n self.modcod_sat_2.addItem(\\\"\\\")\\r\\n self.modcod_sat_2.addItem(\\\"\\\")\\r\\n self.modcod_sat_2.addItem(\\\"\\\")\\r\\n self.label_95 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_95.setGeometry(QtCore.QRect(20, 120, 131, 20))\\r\\n self.label_95.setObjectName(\\\"label_95\\\")\\r\\n self.freq_sat_2 = QtWidgets.QLineEdit(self.groupBox_12)\\r\\n self.freq_sat_2.setGeometry(QtCore.QRect(200, 120, 101, 22))\\r\\n self.freq_sat_2.setObjectName(\\\"freq_sat_2\\\")\\r\\n self.label_17 = QtWidgets.QLabel(self.groupBox_12)\\r\\n self.label_17.setGeometry(QtCore.QRect(673, 100, 91, 20))\\r\\n self.label_17.setObjectName(\\\"label_17\\\")\\r\\n self.pol_sat_3 = QtWidgets.QComboBox(self.groupBox_12)\\r\\n self.pol_sat_3.setGeometry(QtCore.QRect(667, 130, 101, 22))\\r\\n self.pol_sat_3.setObjectName(\\\"pol_sat_3\\\")\\r\\n self.pol_sat_3.addItem(\\\"\\\")\\r\\n self.pol_sat_3.addItem(\\\"\\\")\\r\\n self.pol_sat_3.addItem(\\\"\\\")\\r\\n self.clear_sat_2 = QtWidgets.QPushButton(self.groupBox_12)\\r\\n self.clear_sat_2.setGeometry(QtCore.QRect(420, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_2.setFont(font)\\r\\n self.clear_sat_2.setObjectName(\\\"clear_sat_2\\\")\\r\\n self.stackedWidget_2.addWidget(self.satellite_page_2)\\r\\n self.ground_station_page_2 = QtWidgets.QWidget()\\r\\n self.ground_station_page_2.setObjectName(\\\"ground_station_page_2\\\")\\r\\n self.groupBox_2 = QtWidgets.QGroupBox(self.ground_station_page_2)\\r\\n self.groupBox_2.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_2.setFont(font)\\r\\n self.groupBox_2.setAutoFillBackground(False)\\r\\n self.groupBox_2.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_2.setObjectName(\\\"groupBox_2\\\")\\r\\n self.label_18 = QtWidgets.QLabel(self.groupBox_2)\\r\\n self.label_18.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_18.setObjectName(\\\"label_18\\\")\\r\\n self.label_22 = QtWidgets.QLabel(self.groupBox_2)\\r\\n self.label_22.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_22.setObjectName(\\\"label_22\\\")\\r\\n self.label_39 = QtWidgets.QLabel(self.groupBox_2)\\r\\n self.label_39.setGeometry(QtCore.QRect(20, 111, 161, 21))\\r\\n self.label_39.setObjectName(\\\"label_39\\\")\\r\\n self.name_ground_station_grstat_2 = QtWidgets.QLineEdit(self.groupBox_2)\\r\\n self.name_ground_station_grstat_2.setGeometry(QtCore.QRect(100, 36, 271, 22))\\r\\n self.name_ground_station_grstat_2.setObjectName(\\\"name_ground_station_grstat_2\\\")\\r\\n self.long_ground_station_grstat_2 = QtWidgets.QLineEdit(self.groupBox_2)\\r\\n self.long_ground_station_grstat_2.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.long_ground_station_grstat_2.setObjectName(\\\"long_ground_station_grstat_2\\\")\\r\\n self.lat_ground_station_grstat_2 = QtWidgets.QLineEdit(self.groupBox_2)\\r\\n self.lat_ground_station_grstat_2.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_grstat_2.setObjectName(\\\"lat_ground_station_grstat_2\\\")\\r\\n self.save_ground_station_gdstation_2 = QtWidgets.QPushButton(self.groupBox_2)\\r\\n self.save_ground_station_gdstation_2.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_gdstation_2.setFont(font)\\r\\n self.save_ground_station_gdstation_2.setObjectName(\\\"save_ground_station_gdstation_2\\\")\\r\\n self.load_ground_station_gdstation_2 = QtWidgets.QPushButton(self.groupBox_2)\\r\\n self.load_ground_station_gdstation_2.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_gdstation_2.setFont(font)\\r\\n self.load_ground_station_gdstation_2.setObjectName(\\\"load_ground_station_gdstation_2\\\")\\r\\n self.clear_ground_station_gdstation_2 = QtWidgets.QPushButton(self.groupBox_2)\\r\\n self.clear_ground_station_gdstation_2.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_gdstation_2.setFont(font)\\r\\n self.clear_ground_station_gdstation_2.setObjectName(\\\"clear_ground_station_gdstation_2\\\")\\r\\n self.stackedWidget_2.addWidget(self.ground_station_page_2)\\r\\n self.reception_page_2 = QtWidgets.QWidget()\\r\\n self.reception_page_2.setObjectName(\\\"reception_page_2\\\")\\r\\n self.groupBox_13 = QtWidgets.QGroupBox(self.reception_page_2)\\r\\n self.groupBox_13.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_13.setFont(font)\\r\\n self.groupBox_13.setAutoFillBackground(False)\\r\\n self.groupBox_13.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_13.setObjectName(\\\"groupBox_13\\\")\\r\\n self.label_96 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_96.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_96.setObjectName(\\\"label_96\\\")\\r\\n self.label_97 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_97.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_97.setObjectName(\\\"label_97\\\")\\r\\n self.label_98 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_98.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_98.setObjectName(\\\"label_98\\\")\\r\\n self.name_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.name_reception_rcp_2.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_rcp_2.setObjectName(\\\"name_reception_rcp_2\\\")\\r\\n self.lnb_gain_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.lnb_gain_reception_rcp_2.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_rcp_2.setObjectName(\\\"lnb_gain_reception_rcp_2\\\")\\r\\n self.ant_size_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.ant_size_reception_rcp_2.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_rcp_2.setObjectName(\\\"ant_size_reception_rcp_2\\\")\\r\\n self.save_reception_rcp_2 = QtWidgets.QPushButton(self.groupBox_13)\\r\\n self.save_reception_rcp_2.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_rcp_2.setFont(font)\\r\\n self.save_reception_rcp_2.setObjectName(\\\"save_reception_rcp_2\\\")\\r\\n self.load_reception_rcp_5 = QtWidgets.QPushButton(self.groupBox_13)\\r\\n self.load_reception_rcp_5.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_5.setFont(font)\\r\\n self.load_reception_rcp_5.setObjectName(\\\"load_reception_rcp_5\\\")\\r\\n self.label_99 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_99.setGeometry(QtCore.QRect(330, 80, 171, 16))\\r\\n self.label_99.setObjectName(\\\"label_99\\\")\\r\\n self.ant_eff_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.ant_eff_reception_rcp_2.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_rcp_2.setObjectName(\\\"ant_eff_reception_rcp_2\\\")\\r\\n self.label_100 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_100.setGeometry(QtCore.QRect(330, 119, 161, 16))\\r\\n self.label_100.setObjectName(\\\"label_100\\\")\\r\\n self.lnb_temp_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.lnb_temp_reception_rcp_2.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_rcp_2.setObjectName(\\\"lnb_temp_reception_rcp_2\\\")\\r\\n self.label_101 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_101.setGeometry(QtCore.QRect(20, 138, 171, 51))\\r\\n self.label_101.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_101.setObjectName(\\\"label_101\\\")\\r\\n self.aditional_losses_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.aditional_losses_reception_rcp_2.setGeometry(QtCore.QRect(200, 153, 101, 22))\\r\\n self.aditional_losses_reception_rcp_2.setObjectName(\\\"aditional_losses_reception_rcp_2\\\")\\r\\n self.label_102 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_102.setGeometry(QtCore.QRect(20, 187, 171, 51))\\r\\n self.label_102.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_102.setObjectName(\\\"label_102\\\")\\r\\n self.max_depoint_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.max_depoint_reception_rcp_2.setGeometry(QtCore.QRect(200, 200, 101, 22))\\r\\n self.max_depoint_reception_rcp_2.setObjectName(\\\"max_depoint_reception_rcp_2\\\")\\r\\n self.clear_reception_rcp_3 = QtWidgets.QPushButton(self.groupBox_13)\\r\\n self.clear_reception_rcp_3.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp_3.setFont(font)\\r\\n self.clear_reception_rcp_3.setObjectName(\\\"clear_reception_rcp_3\\\")\\r\\n self.label_103 = QtWidgets.QLabel(self.groupBox_13)\\r\\n self.label_103.setGeometry(QtCore.QRect(330, 140, 171, 51))\\r\\n self.label_103.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_103.setObjectName(\\\"label_103\\\")\\r\\n self.cable_loss_reception_rcp_2 = QtWidgets.QLineEdit(self.groupBox_13)\\r\\n self.cable_loss_reception_rcp_2.setGeometry(QtCore.QRect(510, 155, 101, 22))\\r\\n self.cable_loss_reception_rcp_2.setObjectName(\\\"cable_loss_reception_rcp_2\\\")\\r\\n self.stackedWidget_2.addWidget(self.reception_page_2)\\r\\n self.ant_size_single_point_calc_page_2 = QtWidgets.QWidget()\\r\\n self.ant_size_single_point_calc_page_2.setObjectName(\\\"ant_size_single_point_calc_page_2\\\")\\r\\n self.stackedWidget_2.addWidget(self.ant_size_single_point_calc_page_2)\\r\\n self.list_ant_size_calc_page_2 = QtWidgets.QWidget()\\r\\n self.list_ant_size_calc_page_2.setObjectName(\\\"list_ant_size_calc_page_2\\\")\\r\\n self.stackedWidget_2.addWidget(self.list_ant_size_calc_page_2)\\r\\n self.single_point_atm_calc_page_2 = QtWidgets.QWidget()\\r\\n self.single_point_atm_calc_page_2.setObjectName(\\\"single_point_atm_calc_page_2\\\")\\r\\n self.groupBox_14 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_2)\\r\\n self.groupBox_14.setGeometry(QtCore.QRect(20, 20, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_14.setFont(font)\\r\\n self.groupBox_14.setObjectName(\\\"groupBox_14\\\")\\r\\n self.lat_ground_station_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\\r\\n self.lat_ground_station_spatm_2.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.lat_ground_station_spatm_2.setObjectName(\\\"lat_ground_station_spatm_2\\\")\\r\\n self.long_ground_station_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\\r\\n self.long_ground_station_spatm_2.setGeometry(QtCore.QRect(500, 30, 101, 22))\\r\\n self.long_ground_station_spatm_2.setObjectName(\\\"long_ground_station_spatm_2\\\")\\r\\n self.label_104 = QtWidgets.QLabel(self.groupBox_14)\\r\\n self.label_104.setGeometry(QtCore.QRect(20, 23, 151, 31))\\r\\n self.label_104.setObjectName(\\\"label_104\\\")\\r\\n self.label_105 = QtWidgets.QLabel(self.groupBox_14)\\r\\n self.label_105.setGeometry(QtCore.QRect(319, 28, 161, 21))\\r\\n self.label_105.setObjectName(\\\"label_105\\\")\\r\\n self.label_106 = QtWidgets.QLabel(self.groupBox_14)\\r\\n self.label_106.setGeometry(QtCore.QRect(20, 60, 161, 21))\\r\\n self.label_106.setObjectName(\\\"label_106\\\")\\r\\n self.ant_size_reception_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\\r\\n self.ant_size_reception_spatm_2.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.ant_size_reception_spatm_2.setObjectName(\\\"ant_size_reception_spatm_2\\\")\\r\\n self.ant_eff_reception_spatm_2 = QtWidgets.QLineEdit(self.groupBox_14)\\r\\n self.ant_eff_reception_spatm_2.setGeometry(QtCore.QRect(500, 60, 101, 22))\\r\\n self.ant_eff_reception_spatm_2.setObjectName(\\\"ant_eff_reception_spatm_2\\\")\\r\\n self.label_107 = QtWidgets.QLabel(self.groupBox_14)\\r\\n self.label_107.setGeometry(QtCore.QRect(320, 60, 141, 16))\\r\\n self.label_107.setObjectName(\\\"label_107\\\")\\r\\n self.clear_reception_rcp_4 = QtWidgets.QPushButton(self.groupBox_14)\\r\\n self.clear_reception_rcp_4.setGeometry(QtCore.QRect(660, 30, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp_4.setFont(font)\\r\\n self.clear_reception_rcp_4.setObjectName(\\\"clear_reception_rcp_4\\\")\\r\\n self.load_reception_rcp_6 = QtWidgets.QPushButton(self.groupBox_14)\\r\\n self.load_reception_rcp_6.setGeometry(QtCore.QRect(15, 91, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_6.setFont(font)\\r\\n self.load_reception_rcp_6.setObjectName(\\\"load_reception_rcp_6\\\")\\r\\n self.load_reception_rcp_7 = QtWidgets.QPushButton(self.groupBox_14)\\r\\n self.load_reception_rcp_7.setGeometry(QtCore.QRect(230, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_7.setFont(font)\\r\\n self.load_reception_rcp_7.setObjectName(\\\"load_reception_rcp_7\\\")\\r\\n self.calc_spatm_2 = QtWidgets.QPushButton(self.single_point_atm_calc_page_2)\\r\\n self.calc_spatm_2.setGeometry(QtCore.QRect(666, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_spatm_2.setFont(font)\\r\\n self.calc_spatm_2.setObjectName(\\\"calc_spatm_2\\\")\\r\\n self.textEdit_3 = QtWidgets.QTextEdit(self.single_point_atm_calc_page_2)\\r\\n self.textEdit_3.setGeometry(QtCore.QRect(6, 650, 801, 171))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.textEdit_3.setFont(font)\\r\\n self.textEdit_3.setObjectName(\\\"textEdit_3\\\")\\r\\n self.groupBox_15 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_2)\\r\\n self.groupBox_15.setGeometry(QtCore.QRect(20, 150, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_15.setFont(font)\\r\\n self.groupBox_15.setObjectName(\\\"groupBox_15\\\")\\r\\n self.label_108 = QtWidgets.QLabel(self.groupBox_15)\\r\\n self.label_108.setGeometry(QtCore.QRect(20, 60, 131, 16))\\r\\n self.label_108.setObjectName(\\\"label_108\\\")\\r\\n self.label_109 = QtWidgets.QLabel(self.groupBox_15)\\r\\n self.label_109.setGeometry(QtCore.QRect(20, 30, 161, 21))\\r\\n self.label_109.setObjectName(\\\"label_109\\\")\\r\\n self.long_sat_spatm_2 = QtWidgets.QLineEdit(self.groupBox_15)\\r\\n self.long_sat_spatm_2.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.long_sat_spatm_2.setObjectName(\\\"long_sat_spatm_2\\\")\\r\\n self.freq_sat_spatm_2 = QtWidgets.QLineEdit(self.groupBox_15)\\r\\n self.freq_sat_spatm_2.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.freq_sat_spatm_2.setObjectName(\\\"freq_sat_spatm_2\\\")\\r\\n self.default_sat_sp_perf_4 = QtWidgets.QComboBox(self.groupBox_15)\\r\\n self.default_sat_sp_perf_4.setGeometry(QtCore.QRect(634, 44, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_perf_4.setFont(font)\\r\\n self.default_sat_sp_perf_4.setObjectName(\\\"default_sat_sp_perf_4\\\")\\r\\n self.label_110 = QtWidgets.QLabel(self.groupBox_15)\\r\\n self.label_110.setGeometry(QtCore.QRect(636, 14, 131, 16))\\r\\n self.label_110.setObjectName(\\\"label_110\\\")\\r\\n self.pol_sat_4 = QtWidgets.QComboBox(self.groupBox_15)\\r\\n self.pol_sat_4.setGeometry(QtCore.QRect(450, 30, 101, 22))\\r\\n self.pol_sat_4.setObjectName(\\\"pol_sat_4\\\")\\r\\n self.pol_sat_4.addItem(\\\"\\\")\\r\\n self.pol_sat_4.addItem(\\\"\\\")\\r\\n self.pol_sat_4.addItem(\\\"\\\")\\r\\n self.label_111 = QtWidgets.QLabel(self.groupBox_15)\\r\\n self.label_111.setGeometry(QtCore.QRect(350, 30, 91, 20))\\r\\n self.label_111.setObjectName(\\\"label_111\\\")\\r\\n self.load_reception_rcp_8 = QtWidgets.QPushButton(self.groupBox_15)\\r\\n self.load_reception_rcp_8.setGeometry(QtCore.QRect(10, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_8.setFont(font)\\r\\n self.load_reception_rcp_8.setObjectName(\\\"load_reception_rcp_8\\\")\\r\\n self.p_year_spatm_2 = QtWidgets.QLineEdit(self.single_point_atm_calc_page_2)\\r\\n self.p_year_spatm_2.setGeometry(QtCore.QRect(550, 834, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.p_year_spatm_2.setFont(font)\\r\\n self.p_year_spatm_2.setToolTip(\\\"\\\")\\r\\n self.p_year_spatm_2.setObjectName(\\\"p_year_spatm_2\\\")\\r\\n self.label_112 = QtWidgets.QLabel(self.single_point_atm_calc_page_2)\\r\\n self.label_112.setGeometry(QtCore.QRect(340, 834, 201, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_112.setFont(font)\\r\\n self.label_112.setObjectName(\\\"label_112\\\")\\r\\n self.label_113 = QtWidgets.QLabel(self.single_point_atm_calc_page_2)\\r\\n self.label_113.setGeometry(QtCore.QRect(10, 837, 71, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_113.setFont(font)\\r\\n self.label_113.setObjectName(\\\"label_113\\\")\\r\\n self.method_spatm_2 = QtWidgets.QComboBox(self.single_point_atm_calc_page_2)\\r\\n self.method_spatm_2.setGeometry(QtCore.QRect(84, 835, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.method_spatm_2.setFont(font)\\r\\n self.method_spatm_2.setObjectName(\\\"method_spatm_2\\\")\\r\\n self.method_spatm_2.addItem(\\\"\\\")\\r\\n self.method_spatm_2.addItem(\\\"\\\")\\r\\n self.stackedWidget_2.addWidget(self.single_point_atm_calc_page_2)\\r\\n self.single_point_perf_calc_page_2 = QtWidgets.QWidget()\\r\\n self.single_point_perf_calc_page_2.setObjectName(\\\"single_point_perf_calc_page_2\\\")\\r\\n self.groupBox_16 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\\r\\n self.groupBox_16.setGeometry(QtCore.QRect(10, 10, 801, 121))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_16.setFont(font)\\r\\n self.groupBox_16.setAutoFillBackground(False)\\r\\n self.groupBox_16.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_16.setObjectName(\\\"groupBox_16\\\")\\r\\n self.label_114 = QtWidgets.QLabel(self.groupBox_16)\\r\\n self.label_114.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_114.setObjectName(\\\"label_114\\\")\\r\\n self.label_115 = QtWidgets.QLabel(self.groupBox_16)\\r\\n self.label_115.setGeometry(QtCore.QRect(20, 70, 151, 31))\\r\\n self.label_115.setObjectName(\\\"label_115\\\")\\r\\n self.label_116 = QtWidgets.QLabel(self.groupBox_16)\\r\\n self.label_116.setGeometry(QtCore.QRect(330, 78, 161, 21))\\r\\n self.label_116.setObjectName(\\\"label_116\\\")\\r\\n self.name_ground_station_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_16)\\r\\n self.name_ground_station_sp_ant_size.setGeometry(QtCore.QRect(100, 36, 511, 22))\\r\\n self.name_ground_station_sp_ant_size.setObjectName(\\\"name_ground_station_sp_ant_size\\\")\\r\\n self.long_ground_station_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_16)\\r\\n self.long_ground_station_sp_ant_size.setGeometry(QtCore.QRect(510, 80, 101, 22))\\r\\n self.long_ground_station_sp_ant_size.setObjectName(\\\"long_ground_station_sp_ant_size\\\")\\r\\n self.lat_ground_station_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_16)\\r\\n self.lat_ground_station_sp_ant_size.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_sp_ant_size.setObjectName(\\\"lat_ground_station_sp_ant_size\\\")\\r\\n self.save_ground_station_sp_ant_size = QtWidgets.QPushButton(self.groupBox_16)\\r\\n self.save_ground_station_sp_ant_size.setGeometry(QtCore.QRect(652, 80, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_sp_ant_size.setFont(font)\\r\\n self.save_ground_station_sp_ant_size.setObjectName(\\\"save_ground_station_sp_ant_size\\\")\\r\\n self.load_ground_station_sp_ant_size = QtWidgets.QPushButton(self.groupBox_16)\\r\\n self.load_ground_station_sp_ant_size.setGeometry(QtCore.QRect(652, 48, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_sp_ant_size.setFont(font)\\r\\n self.load_ground_station_sp_ant_size.setObjectName(\\\"load_ground_station_sp_ant_size\\\")\\r\\n self.clear_ground_station_sp_ant_size = QtWidgets.QPushButton(self.groupBox_16)\\r\\n self.clear_ground_station_sp_ant_size.setGeometry(QtCore.QRect(652, 16, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_sp_ant_size.setFont(font)\\r\\n self.clear_ground_station_sp_ant_size.setObjectName(\\\"clear_ground_station_sp_ant_size\\\")\\r\\n self.groupBox_17 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\\r\\n self.groupBox_17.setGeometry(QtCore.QRect(10, 129, 801, 251))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_17.setFont(font)\\r\\n self.groupBox_17.setAutoFillBackground(False)\\r\\n self.groupBox_17.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_17.setObjectName(\\\"groupBox_17\\\")\\r\\n self.label_117 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_117.setGeometry(QtCore.QRect(20, 29, 55, 16))\\r\\n self.label_117.setObjectName(\\\"label_117\\\")\\r\\n self.label_118 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_118.setGeometry(QtCore.QRect(20, 71, 161, 21))\\r\\n self.label_118.setObjectName(\\\"label_118\\\")\\r\\n self.name_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.name_sat_sp_ant_size.setGeometry(QtCore.QRect(100, 29, 511, 22))\\r\\n self.name_sat_sp_ant_size.setObjectName(\\\"name_sat_sp_ant_size\\\")\\r\\n self.long_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.long_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 71, 101, 22))\\r\\n self.long_sat_sp_ant_size.setObjectName(\\\"long_sat_sp_ant_size\\\")\\r\\n self.save_sat_sp_ant_size = QtWidgets.QPushButton(self.groupBox_17)\\r\\n self.save_sat_sp_ant_size.setGeometry(QtCore.QRect(656, 207, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_sp_ant_size.setFont(font)\\r\\n self.save_sat_sp_ant_size.setObjectName(\\\"save_sat_sp_ant_size\\\")\\r\\n self.load_sat_sp_ant_size = QtWidgets.QPushButton(self.groupBox_17)\\r\\n self.load_sat_sp_ant_size.setGeometry(QtCore.QRect(656, 175, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_sp_ant_size.setFont(font)\\r\\n self.load_sat_sp_ant_size.setObjectName(\\\"load_sat_sp_ant_size\\\")\\r\\n self.default_sat_sp_ant_size = QtWidgets.QComboBox(self.groupBox_17)\\r\\n self.default_sat_sp_ant_size.setGeometry(QtCore.QRect(650, 42, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_ant_size.setFont(font)\\r\\n self.default_sat_sp_ant_size.setObjectName(\\\"default_sat_sp_ant_size\\\")\\r\\n self.label_119 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_119.setGeometry(QtCore.QRect(648, 16, 131, 16))\\r\\n self.label_119.setObjectName(\\\"label_119\\\")\\r\\n self.label_120 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_120.setGeometry(QtCore.QRect(330, 69, 111, 16))\\r\\n self.label_120.setObjectName(\\\"label_120\\\")\\r\\n self.height_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.height_sat_sp_ant_size.setGeometry(QtCore.QRect(510, 69, 101, 22))\\r\\n self.height_sat_sp_ant_size.setObjectName(\\\"height_sat_sp_ant_size\\\")\\r\\n self.label_121 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_121.setGeometry(QtCore.QRect(330, 110, 121, 16))\\r\\n self.label_121.setObjectName(\\\"label_121\\\")\\r\\n self.eirp_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.eirp_sat_sp_ant_size.setGeometry(QtCore.QRect(510, 106, 101, 22))\\r\\n self.eirp_sat_sp_ant_size.setObjectName(\\\"eirp_sat_sp_ant_size\\\")\\r\\n self.label_122 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_122.setGeometry(QtCore.QRect(20, 139, 171, 51))\\r\\n self.label_122.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_122.setObjectName(\\\"label_122\\\")\\r\\n self.max_bw_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.max_bw_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 149, 101, 22))\\r\\n self.max_bw_sat_sp_ant_size.setObjectName(\\\"max_bw_sat_sp_ant_size\\\")\\r\\n self.label_123 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_123.setGeometry(QtCore.QRect(330, 134, 171, 51))\\r\\n self.label_123.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_123.setObjectName(\\\"label_123\\\")\\r\\n self.bw_util_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.bw_util_sat_sp_ant_size.setGeometry(QtCore.QRect(510, 147, 101, 22))\\r\\n self.bw_util_sat_sp_ant_size.setObjectName(\\\"bw_util_sat_sp_ant_size\\\")\\r\\n self.label_124 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_124.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_124.setObjectName(\\\"label_124\\\")\\r\\n self.rolloff_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.rolloff_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.rolloff_sat_sp_ant_size.setObjectName(\\\"rolloff_sat_sp_ant_size\\\")\\r\\n self.label_125 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_125.setGeometry(QtCore.QRect(330, 192, 91, 16))\\r\\n self.label_125.setObjectName(\\\"label_125\\\")\\r\\n self.modcod_sat_sp_ant_size = QtWidgets.QComboBox(self.groupBox_17)\\r\\n self.modcod_sat_sp_ant_size.setGeometry(QtCore.QRect(450, 190, 161, 22))\\r\\n self.modcod_sat_sp_ant_size.setObjectName(\\\"modcod_sat_sp_ant_size\\\")\\r\\n self.label_126 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_126.setGeometry(QtCore.QRect(20, 111, 131, 20))\\r\\n self.label_126.setObjectName(\\\"label_126\\\")\\r\\n self.freq_sat_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_17)\\r\\n self.freq_sat_sp_ant_size.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.freq_sat_sp_ant_size.setObjectName(\\\"freq_sat_sp_ant_size\\\")\\r\\n self.label_127 = QtWidgets.QLabel(self.groupBox_17)\\r\\n self.label_127.setGeometry(QtCore.QRect(665, 73, 91, 20))\\r\\n self.label_127.setObjectName(\\\"label_127\\\")\\r\\n self.pol_sat_sp_ant_size = QtWidgets.QComboBox(self.groupBox_17)\\r\\n self.pol_sat_sp_ant_size.setGeometry(QtCore.QRect(660, 97, 101, 22))\\r\\n self.pol_sat_sp_ant_size.setObjectName(\\\"pol_sat_sp_ant_size\\\")\\r\\n self.pol_sat_sp_ant_size.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_ant_size.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_ant_size.addItem(\\\"\\\")\\r\\n self.clear_sat_sp_ant_size = QtWidgets.QPushButton(self.groupBox_17)\\r\\n self.clear_sat_sp_ant_size.setGeometry(QtCore.QRect(656, 145, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_sp_ant_size.setFont(font)\\r\\n self.clear_sat_sp_ant_size.setObjectName(\\\"clear_sat_sp_ant_size\\\")\\r\\n self.groupBox_18 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\\r\\n self.groupBox_18.setGeometry(QtCore.QRect(10, 378, 801, 181))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_18.setFont(font)\\r\\n self.groupBox_18.setAutoFillBackground(False)\\r\\n self.groupBox_18.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_18.setObjectName(\\\"groupBox_18\\\")\\r\\n self.label_128 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_128.setGeometry(QtCore.QRect(20, 27, 55, 16))\\r\\n self.label_128.setObjectName(\\\"label_128\\\")\\r\\n self.label_130 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_130.setGeometry(QtCore.QRect(20, 60, 161, 21))\\r\\n self.label_130.setObjectName(\\\"label_130\\\")\\r\\n self.name_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.name_reception_sp_ant_size.setGeometry(QtCore.QRect(100, 27, 511, 22))\\r\\n self.name_reception_sp_ant_size.setObjectName(\\\"name_reception_sp_ant_size\\\")\\r\\n self.lnb_gain_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.lnb_gain_reception_sp_ant_size.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.lnb_gain_reception_sp_ant_size.setObjectName(\\\"lnb_gain_reception_sp_ant_size\\\")\\r\\n self.save_reception_sp_ant_size = QtWidgets.QPushButton(self.groupBox_18)\\r\\n self.save_reception_sp_ant_size.setGeometry(QtCore.QRect(654, 133, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_sp_ant_size.setFont(font)\\r\\n self.save_reception_sp_ant_size.setObjectName(\\\"save_reception_sp_ant_size\\\")\\r\\n self.load_reception_sp_ant_size = QtWidgets.QPushButton(self.groupBox_18)\\r\\n self.load_reception_sp_ant_size.setGeometry(QtCore.QRect(654, 99, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_sp_ant_size.setFont(font)\\r\\n self.load_reception_sp_ant_size.setObjectName(\\\"load_reception_sp_ant_size\\\")\\r\\n self.label_131 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_131.setGeometry(QtCore.QRect(330, 137, 141, 16))\\r\\n self.label_131.setObjectName(\\\"label_131\\\")\\r\\n self.ant_eff_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.ant_eff_reception_sp_ant_size.setGeometry(QtCore.QRect(510, 137, 101, 22))\\r\\n self.ant_eff_reception_sp_ant_size.setObjectName(\\\"ant_eff_reception_sp_ant_size\\\")\\r\\n self.label_132 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_132.setGeometry(QtCore.QRect(330, 65, 161, 16))\\r\\n self.label_132.setObjectName(\\\"label_132\\\")\\r\\n self.lnb_temp_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.lnb_temp_reception_sp_ant_size.setGeometry(QtCore.QRect(510, 62, 101, 22))\\r\\n self.lnb_temp_reception_sp_ant_size.setObjectName(\\\"lnb_temp_reception_sp_ant_size\\\")\\r\\n self.label_133 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_133.setGeometry(QtCore.QRect(17, 83, 171, 51))\\r\\n self.label_133.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_133.setObjectName(\\\"label_133\\\")\\r\\n self.aditional_losses_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.aditional_losses_reception_sp_ant_size.setGeometry(QtCore.QRect(200, 97, 101, 22))\\r\\n self.aditional_losses_reception_sp_ant_size.setObjectName(\\\"aditional_losses_reception_sp_ant_size\\\")\\r\\n self.label_134 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_134.setGeometry(QtCore.QRect(19, 119, 171, 51))\\r\\n self.label_134.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_134.setObjectName(\\\"label_134\\\")\\r\\n self.max_depoint_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.max_depoint_reception_sp_ant_size.setGeometry(QtCore.QRect(200, 139, 101, 22))\\r\\n self.max_depoint_reception_sp_ant_size.setObjectName(\\\"max_depoint_reception_sp_ant_size\\\")\\r\\n self.clear_reception_sp_ant_size = QtWidgets.QPushButton(self.groupBox_18)\\r\\n self.clear_reception_sp_ant_size.setGeometry(QtCore.QRect(654, 67, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_sp_ant_size.setFont(font)\\r\\n self.clear_reception_sp_ant_size.setObjectName(\\\"clear_reception_sp_ant_size\\\")\\r\\n self.cable_loss_reception_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_18)\\r\\n self.cable_loss_reception_sp_ant_size.setGeometry(QtCore.QRect(510, 98, 101, 22))\\r\\n self.cable_loss_reception_sp_ant_size.setObjectName(\\\"cable_loss_reception_sp_ant_size\\\")\\r\\n self.label_135 = QtWidgets.QLabel(self.groupBox_18)\\r\\n self.label_135.setGeometry(QtCore.QRect(330, 84, 171, 51))\\r\\n self.label_135.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_135.setObjectName(\\\"label_135\\\")\\r\\n self.calc_sp_ant_size = QtWidgets.QPushButton(self.single_point_perf_calc_page_2)\\r\\n self.calc_sp_ant_size.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_sp_ant_size.setFont(font)\\r\\n self.calc_sp_ant_size.setObjectName(\\\"calc_sp_ant_size\\\")\\r\\n self.margin_sp_ant_size = QtWidgets.QLineEdit(self.single_point_perf_calc_page_2)\\r\\n self.margin_sp_ant_size.setGeometry(QtCore.QRect(123, 834, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_sp_ant_size.setFont(font)\\r\\n self.margin_sp_ant_size.setToolTip(\\\"\\\")\\r\\n self.margin_sp_ant_size.setObjectName(\\\"margin_sp_ant_size\\\")\\r\\n self.label_174 = QtWidgets.QLabel(self.single_point_perf_calc_page_2)\\r\\n self.label_174.setGeometry(QtCore.QRect(23, 834, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_174.setFont(font)\\r\\n self.label_174.setObjectName(\\\"label_174\\\")\\r\\n self.groupBox_41 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_2)\\r\\n self.groupBox_41.setGeometry(QtCore.QRect(10, 556, 801, 271))\\r\\n self.groupBox_41.setObjectName(\\\"groupBox_41\\\")\\r\\n self.ant_max_size_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_41)\\r\\n self.ant_max_size_sp_ant_size.setGeometry(QtCore.QRect(436, 23, 101, 22))\\r\\n self.ant_max_size_sp_ant_size.setObjectName(\\\"ant_max_size_sp_ant_size\\\")\\r\\n self.label_323 = QtWidgets.QLabel(self.groupBox_41)\\r\\n self.label_323.setGeometry(QtCore.QRect(9, 8, 171, 51))\\r\\n self.label_323.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_323.setObjectName(\\\"label_323\\\")\\r\\n self.ant_min_size_sp_ant_size = QtWidgets.QLineEdit(self.groupBox_41)\\r\\n self.ant_min_size_sp_ant_size.setGeometry(QtCore.QRect(153, 23, 101, 22))\\r\\n self.ant_min_size_sp_ant_size.setObjectName(\\\"ant_min_size_sp_ant_size\\\")\\r\\n self.label_313 = QtWidgets.QLabel(self.groupBox_41)\\r\\n self.label_313.setGeometry(QtCore.QRect(287, 9, 171, 51))\\r\\n self.label_313.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_313.setObjectName(\\\"label_313\\\")\\r\\n self.output_sp_ant_size = QtWidgets.QTextEdit(self.groupBox_41)\\r\\n self.output_sp_ant_size.setGeometry(QtCore.QRect(10, 56, 781, 191))\\r\\n self.output_sp_ant_size.setObjectName(\\\"output_sp_ant_size\\\")\\r\\n self.label_136 = QtWidgets.QLabel(self.groupBox_41)\\r\\n self.label_136.setGeometry(QtCore.QRect(10, 250, 331, 20))\\r\\n self.label_136.setObjectName(\\\"label_136\\\")\\r\\n self.export_result_sp_ant_size = QtWidgets.QPushButton(self.single_point_perf_calc_page_2)\\r\\n self.export_result_sp_ant_size.setGeometry(QtCore.QRect(520, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.export_result_sp_ant_size.setFont(font)\\r\\n self.export_result_sp_ant_size.setObjectName(\\\"export_result_sp_ant_size\\\")\\r\\n self.stackedWidget_2.addWidget(self.single_point_perf_calc_page_2)\\r\\n self.list_perf_calc_page_2 = QtWidgets.QWidget()\\r\\n self.list_perf_calc_page_2.setObjectName(\\\"list_perf_calc_page_2\\\")\\r\\n self.browse_path_mp_perf_2 = QtWidgets.QPushButton(self.list_perf_calc_page_2)\\r\\n self.browse_path_mp_perf_2.setGeometry(QtCore.QRect(700, 11, 93, 21))\\r\\n self.browse_path_mp_perf_2.setObjectName(\\\"browse_path_mp_perf_2\\\")\\r\\n self.label_137 = QtWidgets.QLabel(self.list_perf_calc_page_2)\\r\\n self.label_137.setGeometry(QtCore.QRect(6, 13, 55, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_137.setFont(font)\\r\\n self.label_137.setObjectName(\\\"label_137\\\")\\r\\n self.preview_mp_perf_2 = QtWidgets.QTableWidget(self.list_perf_calc_page_2)\\r\\n self.preview_mp_perf_2.setGeometry(QtCore.QRect(10, 61, 801, 131))\\r\\n self.preview_mp_perf_2.setObjectName(\\\"preview_mp_perf_2\\\")\\r\\n self.preview_mp_perf_2.setColumnCount(0)\\r\\n self.preview_mp_perf_2.setRowCount(0)\\r\\n self.label_138 = QtWidgets.QLabel(self.list_perf_calc_page_2)\\r\\n self.label_138.setGeometry(QtCore.QRect(10, 41, 91, 16))\\r\\n self.label_138.setObjectName(\\\"label_138\\\")\\r\\n self.groupBox_19 = QtWidgets.QGroupBox(self.list_perf_calc_page_2)\\r\\n self.groupBox_19.setGeometry(QtCore.QRect(8, 199, 801, 261))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_19.setFont(font)\\r\\n self.groupBox_19.setAutoFillBackground(False)\\r\\n self.groupBox_19.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_19.setObjectName(\\\"groupBox_19\\\")\\r\\n self.label_139 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_139.setGeometry(QtCore.QRect(20, 27, 55, 16))\\r\\n self.label_139.setObjectName(\\\"label_139\\\")\\r\\n self.label_140 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_140.setGeometry(QtCore.QRect(20, 69, 161, 21))\\r\\n self.label_140.setObjectName(\\\"label_140\\\")\\r\\n self.name_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.name_sat_mp_perf_2.setGeometry(QtCore.QRect(100, 27, 511, 22))\\r\\n self.name_sat_mp_perf_2.setObjectName(\\\"name_sat_mp_perf_2\\\")\\r\\n self.long_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.long_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 69, 101, 22))\\r\\n self.long_sat_mp_perf_2.setObjectName(\\\"long_sat_mp_perf_2\\\")\\r\\n self.save_sat_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_19)\\r\\n self.save_sat_mp_perf_2.setGeometry(QtCore.QRect(658, 222, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_mp_perf_2.setFont(font)\\r\\n self.save_sat_mp_perf_2.setObjectName(\\\"save_sat_mp_perf_2\\\")\\r\\n self.load_sat_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_19)\\r\\n self.load_sat_mp_perf_2.setGeometry(QtCore.QRect(658, 190, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_mp_perf_2.setFont(font)\\r\\n self.load_sat_mp_perf_2.setObjectName(\\\"load_sat_mp_perf_2\\\")\\r\\n self.default_sat_mp_perf_2 = QtWidgets.QComboBox(self.groupBox_19)\\r\\n self.default_sat_mp_perf_2.setGeometry(QtCore.QRect(650, 58, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_mp_perf_2.setFont(font)\\r\\n self.default_sat_mp_perf_2.setObjectName(\\\"default_sat_mp_perf_2\\\")\\r\\n self.label_141 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_141.setGeometry(QtCore.QRect(651, 29, 131, 16))\\r\\n self.label_141.setObjectName(\\\"label_141\\\")\\r\\n self.label_142 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_142.setGeometry(QtCore.QRect(330, 70, 111, 16))\\r\\n self.label_142.setObjectName(\\\"label_142\\\")\\r\\n self.height_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.height_sat_mp_perf_2.setGeometry(QtCore.QRect(510, 67, 101, 22))\\r\\n self.height_sat_mp_perf_2.setObjectName(\\\"height_sat_mp_perf_2\\\")\\r\\n self.label_143 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_143.setGeometry(QtCore.QRect(330, 108, 121, 16))\\r\\n self.label_143.setObjectName(\\\"label_143\\\")\\r\\n self.eirp_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.eirp_sat_mp_perf_2.setGeometry(QtCore.QRect(510, 104, 101, 22))\\r\\n self.eirp_sat_mp_perf_2.setObjectName(\\\"eirp_sat_mp_perf_2\\\")\\r\\n self.label_144 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_144.setGeometry(QtCore.QRect(20, 137, 171, 51))\\r\\n self.label_144.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_144.setObjectName(\\\"label_144\\\")\\r\\n self.max_bw_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.max_bw_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 147, 101, 22))\\r\\n self.max_bw_sat_mp_perf_2.setObjectName(\\\"max_bw_sat_mp_perf_2\\\")\\r\\n self.label_145 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_145.setGeometry(QtCore.QRect(330, 132, 171, 51))\\r\\n self.label_145.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_145.setObjectName(\\\"label_145\\\")\\r\\n self.bw_util_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.bw_util_sat_mp_perf_2.setGeometry(QtCore.QRect(510, 145, 101, 22))\\r\\n self.bw_util_sat_mp_perf_2.setObjectName(\\\"bw_util_sat_mp_perf_2\\\")\\r\\n self.label_146 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_146.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_146.setObjectName(\\\"label_146\\\")\\r\\n self.rolloff_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.rolloff_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 191, 101, 22))\\r\\n self.rolloff_sat_mp_perf_2.setObjectName(\\\"rolloff_sat_mp_perf_2\\\")\\r\\n self.label_147 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_147.setGeometry(QtCore.QRect(330, 191, 91, 16))\\r\\n self.label_147.setObjectName(\\\"label_147\\\")\\r\\n self.modcod_sat_mp_perf_2 = QtWidgets.QComboBox(self.groupBox_19)\\r\\n self.modcod_sat_mp_perf_2.setGeometry(QtCore.QRect(450, 191, 161, 22))\\r\\n self.modcod_sat_mp_perf_2.setObjectName(\\\"modcod_sat_mp_perf_2\\\")\\r\\n self.modcod_sat_mp_perf_2.addItem(\\\"\\\")\\r\\n self.modcod_sat_mp_perf_2.addItem(\\\"\\\")\\r\\n self.modcod_sat_mp_perf_2.addItem(\\\"\\\")\\r\\n self.label_148 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_148.setGeometry(QtCore.QRect(20, 109, 131, 20))\\r\\n self.label_148.setObjectName(\\\"label_148\\\")\\r\\n self.freq_sat_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_19)\\r\\n self.freq_sat_mp_perf_2.setGeometry(QtCore.QRect(200, 109, 101, 22))\\r\\n self.freq_sat_mp_perf_2.setObjectName(\\\"freq_sat_mp_perf_2\\\")\\r\\n self.label_149 = QtWidgets.QLabel(self.groupBox_19)\\r\\n self.label_149.setGeometry(QtCore.QRect(666, 89, 91, 20))\\r\\n self.label_149.setObjectName(\\\"label_149\\\")\\r\\n self.pol_sat_mp_perf_2 = QtWidgets.QComboBox(self.groupBox_19)\\r\\n self.pol_sat_mp_perf_2.setGeometry(QtCore.QRect(663, 119, 101, 22))\\r\\n self.pol_sat_mp_perf_2.setObjectName(\\\"pol_sat_mp_perf_2\\\")\\r\\n self.pol_sat_mp_perf_2.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_perf_2.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_perf_2.addItem(\\\"\\\")\\r\\n self.clear_satellite_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_19)\\r\\n self.clear_satellite_mp_perf_2.setGeometry(QtCore.QRect(658, 156, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_satellite_mp_perf_2.setFont(font)\\r\\n self.clear_satellite_mp_perf_2.setObjectName(\\\"clear_satellite_mp_perf_2\\\")\\r\\n self.groupBox_20 = QtWidgets.QGroupBox(self.list_perf_calc_page_2)\\r\\n self.groupBox_20.setGeometry(QtCore.QRect(10, 458, 801, 221))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_20.setFont(font)\\r\\n self.groupBox_20.setAutoFillBackground(False)\\r\\n self.groupBox_20.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_20.setObjectName(\\\"groupBox_20\\\")\\r\\n self.label_150 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_150.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_150.setObjectName(\\\"label_150\\\")\\r\\n self.label_151 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_151.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_151.setObjectName(\\\"label_151\\\")\\r\\n self.label_152 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_152.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_152.setObjectName(\\\"label_152\\\")\\r\\n self.name_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.name_reception_mp_perf_2.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_mp_perf_2.setObjectName(\\\"name_reception_mp_perf_2\\\")\\r\\n self.lnb_gain_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.lnb_gain_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_mp_perf_2.setObjectName(\\\"lnb_gain_reception_mp_perf_2\\\")\\r\\n self.ant_size_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.ant_size_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_mp_perf_2.setObjectName(\\\"ant_size_reception_mp_perf_2\\\")\\r\\n self.save_reception_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_20)\\r\\n self.save_reception_mp_perf_2.setGeometry(QtCore.QRect(656, 186, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_mp_perf_2.setFont(font)\\r\\n self.save_reception_mp_perf_2.setObjectName(\\\"save_reception_mp_perf_2\\\")\\r\\n self.load_reception_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_20)\\r\\n self.load_reception_mp_perf_2.setGeometry(QtCore.QRect(656, 151, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_mp_perf_2.setFont(font)\\r\\n self.load_reception_mp_perf_2.setObjectName(\\\"load_reception_mp_perf_2\\\")\\r\\n self.label_153 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_153.setGeometry(QtCore.QRect(330, 78, 141, 16))\\r\\n self.label_153.setObjectName(\\\"label_153\\\")\\r\\n self.ant_eff_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.ant_eff_reception_mp_perf_2.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_mp_perf_2.setObjectName(\\\"ant_eff_reception_mp_perf_2\\\")\\r\\n self.label_154 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_154.setGeometry(QtCore.QRect(330, 118, 161, 16))\\r\\n self.label_154.setScaledContents(False)\\r\\n self.label_154.setObjectName(\\\"label_154\\\")\\r\\n self.lnb_temp_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.lnb_temp_reception_mp_perf_2.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_mp_perf_2.setObjectName(\\\"lnb_temp_reception_mp_perf_2\\\")\\r\\n self.label_155 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_155.setGeometry(QtCore.QRect(20, 132, 171, 51))\\r\\n self.label_155.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_155.setObjectName(\\\"label_155\\\")\\r\\n self.aditional_losses_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.aditional_losses_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 146, 101, 22))\\r\\n self.aditional_losses_reception_mp_perf_2.setObjectName(\\\"aditional_losses_reception_mp_perf_2\\\")\\r\\n self.label_156 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_156.setGeometry(QtCore.QRect(20, 170, 171, 51))\\r\\n self.label_156.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_156.setObjectName(\\\"label_156\\\")\\r\\n self.max_depoint_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.max_depoint_reception_mp_perf_2.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.max_depoint_reception_mp_perf_2.setObjectName(\\\"max_depoint_reception_mp_perf_2\\\")\\r\\n self.clear_reception_mp_perf_2 = QtWidgets.QPushButton(self.groupBox_20)\\r\\n self.clear_reception_mp_perf_2.setGeometry(QtCore.QRect(656, 115, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_mp_perf_2.setFont(font)\\r\\n self.clear_reception_mp_perf_2.setObjectName(\\\"clear_reception_mp_perf_2\\\")\\r\\n self.cable_loss_reception_mp_perf_2 = QtWidgets.QLineEdit(self.groupBox_20)\\r\\n self.cable_loss_reception_mp_perf_2.setGeometry(QtCore.QRect(510, 150, 101, 22))\\r\\n self.cable_loss_reception_mp_perf_2.setObjectName(\\\"cable_loss_reception_mp_perf_2\\\")\\r\\n self.label_157 = QtWidgets.QLabel(self.groupBox_20)\\r\\n self.label_157.setGeometry(QtCore.QRect(330, 133, 171, 51))\\r\\n self.label_157.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_157.setObjectName(\\\"label_157\\\")\\r\\n self.output_sp_perf_4 = QtWidgets.QTextEdit(self.list_perf_calc_page_2)\\r\\n self.output_sp_perf_4.setGeometry(QtCore.QRect(10, 684, 801, 141))\\r\\n self.output_sp_perf_4.setObjectName(\\\"output_sp_perf_4\\\")\\r\\n self.relaxation_mp_perf_2 = QtWidgets.QLineEdit(self.list_perf_calc_page_2)\\r\\n self.relaxation_mp_perf_2.setGeometry(QtCore.QRect(170, 832, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_mp_perf_2.setFont(font)\\r\\n self.relaxation_mp_perf_2.setToolTip(\\\"\\\")\\r\\n self.relaxation_mp_perf_2.setObjectName(\\\"relaxation_mp_perf_2\\\")\\r\\n self.calc_mp_perf_2 = QtWidgets.QPushButton(self.list_perf_calc_page_2)\\r\\n self.calc_mp_perf_2.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_mp_perf_2.setFont(font)\\r\\n self.calc_mp_perf_2.setObjectName(\\\"calc_mp_perf_2\\\")\\r\\n self.label_158 = QtWidgets.QLabel(self.list_perf_calc_page_2)\\r\\n self.label_158.setGeometry(QtCore.QRect(10, 833, 151, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_158.setFont(font)\\r\\n self.label_158.setObjectName(\\\"label_158\\\")\\r\\n self.label_159 = QtWidgets.QLabel(self.list_perf_calc_page_2)\\r\\n self.label_159.setGeometry(QtCore.QRect(420, 831, 61, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_159.setFont(font)\\r\\n self.label_159.setObjectName(\\\"label_159\\\")\\r\\n self.n_threads_2 = QtWidgets.QComboBox(self.list_perf_calc_page_2)\\r\\n self.n_threads_2.setGeometry(QtCore.QRect(490, 831, 73, 22))\\r\\n self.n_threads_2.setObjectName(\\\"n_threads_2\\\")\\r\\n self.path_mp_perf_2 = QtWidgets.QLineEdit(self.list_perf_calc_page_2)\\r\\n self.path_mp_perf_2.setGeometry(QtCore.QRect(55, 10, 631, 22))\\r\\n self.path_mp_perf_2.setObjectName(\\\"path_mp_perf_2\\\")\\r\\n self.label_160 = QtWidgets.QLabel(self.list_perf_calc_page_2)\\r\\n self.label_160.setGeometry(QtCore.QRect(240, 831, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_160.setFont(font)\\r\\n self.label_160.setObjectName(\\\"label_160\\\")\\r\\n self.margin_mp_perf_2 = QtWidgets.QLineEdit(self.list_perf_calc_page_2)\\r\\n self.margin_mp_perf_2.setGeometry(QtCore.QRect(340, 831, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_mp_perf_2.setFont(font)\\r\\n self.margin_mp_perf_2.setToolTip(\\\"\\\")\\r\\n self.margin_mp_perf_2.setObjectName(\\\"margin_mp_perf_2\\\")\\r\\n self.stackedWidget_2.addWidget(self.list_perf_calc_page_2)\\r\\n self.stackedWidget.addWidget(self.single_point_ant_size_calc_page)\\r\\n self.list_ant_size_calc = QtWidgets.QWidget()\\r\\n self.list_ant_size_calc.setObjectName(\\\"list_ant_size_calc\\\")\\r\\n self.stackedWidget_3 = QtWidgets.QStackedWidget(self.list_ant_size_calc)\\r\\n self.stackedWidget_3.setGeometry(QtCore.QRect(0, 0, 811, 861))\\r\\n self.stackedWidget_3.setObjectName(\\\"stackedWidget_3\\\")\\r\\n self.home_page_2 = QtWidgets.QWidget()\\r\\n self.home_page_2.setObjectName(\\\"home_page_2\\\")\\r\\n self.label_129 = QtWidgets.QLabel(self.home_page_2)\\r\\n self.label_129.setGeometry(QtCore.QRect(217, 270, 431, 391))\\r\\n self.label_129.setText(\\\"\\\")\\r\\n self.label_129.setPixmap(QtGui.QPixmap(\\\"UI\\\\\\\\home_logo.png\\\"))\\r\\n self.label_129.setObjectName(\\\"label_129\\\")\\r\\n self.stackedWidget_3.addWidget(self.home_page_2)\\r\\n self.satellite_page_3 = QtWidgets.QWidget()\\r\\n self.satellite_page_3.setObjectName(\\\"satellite_page_3\\\")\\r\\n self.groupBox_21 = QtWidgets.QGroupBox(self.satellite_page_3)\\r\\n self.groupBox_21.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_21.setFont(font)\\r\\n self.groupBox_21.setAutoFillBackground(False)\\r\\n self.groupBox_21.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_21.setObjectName(\\\"groupBox_21\\\")\\r\\n self.label_161 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_161.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_161.setObjectName(\\\"label_161\\\")\\r\\n self.label_162 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_162.setGeometry(QtCore.QRect(20, 80, 161, 21))\\r\\n self.label_162.setObjectName(\\\"label_162\\\")\\r\\n self.name_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.name_sat_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_sat_3.setObjectName(\\\"name_sat_3\\\")\\r\\n self.long_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.long_sat_3.setGeometry(QtCore.QRect(200, 80, 101, 22))\\r\\n self.long_sat_3.setObjectName(\\\"long_sat_3\\\")\\r\\n self.save_sat_3 = QtWidgets.QPushButton(self.groupBox_21)\\r\\n self.save_sat_3.setGeometry(QtCore.QRect(680, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_3.setFont(font)\\r\\n self.save_sat_3.setObjectName(\\\"save_sat_3\\\")\\r\\n self.load_sat_3 = QtWidgets.QPushButton(self.groupBox_21)\\r\\n self.load_sat_3.setGeometry(QtCore.QRect(550, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_3.setFont(font)\\r\\n self.load_sat_3.setObjectName(\\\"load_sat_3\\\")\\r\\n self.default_sat_3 = QtWidgets.QComboBox(self.groupBox_21)\\r\\n self.default_sat_3.setGeometry(QtCore.QRect(650, 70, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_3.setFont(font)\\r\\n self.default_sat_3.setObjectName(\\\"default_sat_3\\\")\\r\\n self.label_163 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_163.setGeometry(QtCore.QRect(650, 40, 131, 16))\\r\\n self.label_163.setObjectName(\\\"label_163\\\")\\r\\n self.label_164 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_164.setGeometry(QtCore.QRect(330, 78, 111, 16))\\r\\n self.label_164.setObjectName(\\\"label_164\\\")\\r\\n self.height_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.height_sat_3.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.height_sat_3.setObjectName(\\\"height_sat_3\\\")\\r\\n self.label_165 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_165.setGeometry(QtCore.QRect(330, 119, 121, 16))\\r\\n self.label_165.setObjectName(\\\"label_165\\\")\\r\\n self.eirp_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.eirp_sat_3.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.eirp_sat_3.setObjectName(\\\"eirp_sat_3\\\")\\r\\n self.label_166 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_166.setGeometry(QtCore.QRect(20, 148, 171, 51))\\r\\n self.label_166.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_166.setObjectName(\\\"label_166\\\")\\r\\n self.max_bw_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.max_bw_sat_3.setGeometry(QtCore.QRect(200, 158, 101, 22))\\r\\n self.max_bw_sat_3.setObjectName(\\\"max_bw_sat_3\\\")\\r\\n self.label_167 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_167.setGeometry(QtCore.QRect(330, 143, 171, 51))\\r\\n self.label_167.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_167.setObjectName(\\\"label_167\\\")\\r\\n self.bw_util_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.bw_util_sat_3.setGeometry(QtCore.QRect(510, 156, 101, 22))\\r\\n self.bw_util_sat_3.setObjectName(\\\"bw_util_sat_3\\\")\\r\\n self.label_168 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_168.setGeometry(QtCore.QRect(20, 203, 61, 16))\\r\\n self.label_168.setObjectName(\\\"label_168\\\")\\r\\n self.rolloff_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.rolloff_sat_3.setGeometry(QtCore.QRect(200, 203, 101, 22))\\r\\n self.rolloff_sat_3.setObjectName(\\\"rolloff_sat_3\\\")\\r\\n self.label_169 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_169.setGeometry(QtCore.QRect(330, 203, 91, 16))\\r\\n self.label_169.setObjectName(\\\"label_169\\\")\\r\\n self.modcod_sat_3 = QtWidgets.QComboBox(self.groupBox_21)\\r\\n self.modcod_sat_3.setGeometry(QtCore.QRect(450, 203, 161, 22))\\r\\n self.modcod_sat_3.setObjectName(\\\"modcod_sat_3\\\")\\r\\n self.modcod_sat_3.addItem(\\\"\\\")\\r\\n self.modcod_sat_3.addItem(\\\"\\\")\\r\\n self.modcod_sat_3.addItem(\\\"\\\")\\r\\n self.label_170 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_170.setGeometry(QtCore.QRect(20, 120, 131, 20))\\r\\n self.label_170.setObjectName(\\\"label_170\\\")\\r\\n self.freq_sat_3 = QtWidgets.QLineEdit(self.groupBox_21)\\r\\n self.freq_sat_3.setGeometry(QtCore.QRect(200, 120, 101, 22))\\r\\n self.freq_sat_3.setObjectName(\\\"freq_sat_3\\\")\\r\\n self.label_171 = QtWidgets.QLabel(self.groupBox_21)\\r\\n self.label_171.setGeometry(QtCore.QRect(673, 100, 91, 20))\\r\\n self.label_171.setObjectName(\\\"label_171\\\")\\r\\n self.pol_sat_5 = QtWidgets.QComboBox(self.groupBox_21)\\r\\n self.pol_sat_5.setGeometry(QtCore.QRect(667, 130, 101, 22))\\r\\n self.pol_sat_5.setObjectName(\\\"pol_sat_5\\\")\\r\\n self.pol_sat_5.addItem(\\\"\\\")\\r\\n self.pol_sat_5.addItem(\\\"\\\")\\r\\n self.pol_sat_5.addItem(\\\"\\\")\\r\\n self.clear_sat_3 = QtWidgets.QPushButton(self.groupBox_21)\\r\\n self.clear_sat_3.setGeometry(QtCore.QRect(420, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_3.setFont(font)\\r\\n self.clear_sat_3.setObjectName(\\\"clear_sat_3\\\")\\r\\n self.stackedWidget_3.addWidget(self.satellite_page_3)\\r\\n self.ground_station_page_3 = QtWidgets.QWidget()\\r\\n self.ground_station_page_3.setObjectName(\\\"ground_station_page_3\\\")\\r\\n self.groupBox_22 = QtWidgets.QGroupBox(self.ground_station_page_3)\\r\\n self.groupBox_22.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_22.setFont(font)\\r\\n self.groupBox_22.setAutoFillBackground(False)\\r\\n self.groupBox_22.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_22.setObjectName(\\\"groupBox_22\\\")\\r\\n self.label_172 = QtWidgets.QLabel(self.groupBox_22)\\r\\n self.label_172.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_172.setObjectName(\\\"label_172\\\")\\r\\n self.label_175 = QtWidgets.QLabel(self.groupBox_22)\\r\\n self.label_175.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_175.setObjectName(\\\"label_175\\\")\\r\\n self.label_176 = QtWidgets.QLabel(self.groupBox_22)\\r\\n self.label_176.setGeometry(QtCore.QRect(20, 111, 161, 21))\\r\\n self.label_176.setObjectName(\\\"label_176\\\")\\r\\n self.name_ground_station_grstat_3 = QtWidgets.QLineEdit(self.groupBox_22)\\r\\n self.name_ground_station_grstat_3.setGeometry(QtCore.QRect(100, 36, 271, 22))\\r\\n self.name_ground_station_grstat_3.setObjectName(\\\"name_ground_station_grstat_3\\\")\\r\\n self.long_ground_station_grstat_3 = QtWidgets.QLineEdit(self.groupBox_22)\\r\\n self.long_ground_station_grstat_3.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.long_ground_station_grstat_3.setObjectName(\\\"long_ground_station_grstat_3\\\")\\r\\n self.lat_ground_station_grstat_3 = QtWidgets.QLineEdit(self.groupBox_22)\\r\\n self.lat_ground_station_grstat_3.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_grstat_3.setObjectName(\\\"lat_ground_station_grstat_3\\\")\\r\\n self.save_ground_station_gdstation_3 = QtWidgets.QPushButton(self.groupBox_22)\\r\\n self.save_ground_station_gdstation_3.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_gdstation_3.setFont(font)\\r\\n self.save_ground_station_gdstation_3.setObjectName(\\\"save_ground_station_gdstation_3\\\")\\r\\n self.load_ground_station_gdstation_3 = QtWidgets.QPushButton(self.groupBox_22)\\r\\n self.load_ground_station_gdstation_3.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_gdstation_3.setFont(font)\\r\\n self.load_ground_station_gdstation_3.setObjectName(\\\"load_ground_station_gdstation_3\\\")\\r\\n self.clear_ground_station_gdstation_3 = QtWidgets.QPushButton(self.groupBox_22)\\r\\n self.clear_ground_station_gdstation_3.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_gdstation_3.setFont(font)\\r\\n self.clear_ground_station_gdstation_3.setObjectName(\\\"clear_ground_station_gdstation_3\\\")\\r\\n self.stackedWidget_3.addWidget(self.ground_station_page_3)\\r\\n self.reception_page_3 = QtWidgets.QWidget()\\r\\n self.reception_page_3.setObjectName(\\\"reception_page_3\\\")\\r\\n self.groupBox_23 = QtWidgets.QGroupBox(self.reception_page_3)\\r\\n self.groupBox_23.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_23.setFont(font)\\r\\n self.groupBox_23.setAutoFillBackground(False)\\r\\n self.groupBox_23.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_23.setObjectName(\\\"groupBox_23\\\")\\r\\n self.label_177 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_177.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_177.setObjectName(\\\"label_177\\\")\\r\\n self.label_178 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_178.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_178.setObjectName(\\\"label_178\\\")\\r\\n self.label_179 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_179.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_179.setObjectName(\\\"label_179\\\")\\r\\n self.name_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.name_reception_rcp_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_rcp_3.setObjectName(\\\"name_reception_rcp_3\\\")\\r\\n self.lnb_gain_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.lnb_gain_reception_rcp_3.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_rcp_3.setObjectName(\\\"lnb_gain_reception_rcp_3\\\")\\r\\n self.ant_size_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.ant_size_reception_rcp_3.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_rcp_3.setObjectName(\\\"ant_size_reception_rcp_3\\\")\\r\\n self.save_reception_rcp_3 = QtWidgets.QPushButton(self.groupBox_23)\\r\\n self.save_reception_rcp_3.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_rcp_3.setFont(font)\\r\\n self.save_reception_rcp_3.setObjectName(\\\"save_reception_rcp_3\\\")\\r\\n self.load_reception_rcp_9 = QtWidgets.QPushButton(self.groupBox_23)\\r\\n self.load_reception_rcp_9.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_9.setFont(font)\\r\\n self.load_reception_rcp_9.setObjectName(\\\"load_reception_rcp_9\\\")\\r\\n self.label_180 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_180.setGeometry(QtCore.QRect(330, 80, 171, 16))\\r\\n self.label_180.setObjectName(\\\"label_180\\\")\\r\\n self.ant_eff_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.ant_eff_reception_rcp_3.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_rcp_3.setObjectName(\\\"ant_eff_reception_rcp_3\\\")\\r\\n self.label_181 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_181.setGeometry(QtCore.QRect(330, 119, 161, 16))\\r\\n self.label_181.setObjectName(\\\"label_181\\\")\\r\\n self.lnb_temp_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.lnb_temp_reception_rcp_3.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_rcp_3.setObjectName(\\\"lnb_temp_reception_rcp_3\\\")\\r\\n self.label_182 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_182.setGeometry(QtCore.QRect(20, 138, 171, 51))\\r\\n self.label_182.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_182.setObjectName(\\\"label_182\\\")\\r\\n self.aditional_losses_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.aditional_losses_reception_rcp_3.setGeometry(QtCore.QRect(200, 153, 101, 22))\\r\\n self.aditional_losses_reception_rcp_3.setObjectName(\\\"aditional_losses_reception_rcp_3\\\")\\r\\n self.label_183 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_183.setGeometry(QtCore.QRect(20, 187, 171, 51))\\r\\n self.label_183.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_183.setObjectName(\\\"label_183\\\")\\r\\n self.max_depoint_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.max_depoint_reception_rcp_3.setGeometry(QtCore.QRect(200, 200, 101, 22))\\r\\n self.max_depoint_reception_rcp_3.setObjectName(\\\"max_depoint_reception_rcp_3\\\")\\r\\n self.clear_reception_rcp_5 = QtWidgets.QPushButton(self.groupBox_23)\\r\\n self.clear_reception_rcp_5.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp_5.setFont(font)\\r\\n self.clear_reception_rcp_5.setObjectName(\\\"clear_reception_rcp_5\\\")\\r\\n self.label_184 = QtWidgets.QLabel(self.groupBox_23)\\r\\n self.label_184.setGeometry(QtCore.QRect(330, 140, 171, 51))\\r\\n self.label_184.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_184.setObjectName(\\\"label_184\\\")\\r\\n self.cable_loss_reception_rcp_3 = QtWidgets.QLineEdit(self.groupBox_23)\\r\\n self.cable_loss_reception_rcp_3.setGeometry(QtCore.QRect(510, 155, 101, 22))\\r\\n self.cable_loss_reception_rcp_3.setObjectName(\\\"cable_loss_reception_rcp_3\\\")\\r\\n self.stackedWidget_3.addWidget(self.reception_page_3)\\r\\n self.ant_size_single_point_calc_page_3 = QtWidgets.QWidget()\\r\\n self.ant_size_single_point_calc_page_3.setObjectName(\\\"ant_size_single_point_calc_page_3\\\")\\r\\n self.stackedWidget_4 = QtWidgets.QStackedWidget(self.ant_size_single_point_calc_page_3)\\r\\n self.stackedWidget_4.setGeometry(QtCore.QRect(0, 0, 811, 861))\\r\\n self.stackedWidget_4.setObjectName(\\\"stackedWidget_4\\\")\\r\\n self.empty_page_3 = QtWidgets.QWidget()\\r\\n self.empty_page_3.setObjectName(\\\"empty_page_3\\\")\\r\\n self.label_185 = QtWidgets.QLabel(self.empty_page_3)\\r\\n self.label_185.setGeometry(QtCore.QRect(217, 270, 431, 391))\\r\\n self.label_185.setText(\\\"\\\")\\r\\n self.label_185.setPixmap(QtGui.QPixmap(\\\"UI\\\\\\\\home_logo.png\\\"))\\r\\n self.label_185.setObjectName(\\\"label_185\\\")\\r\\n self.stackedWidget_4.addWidget(self.empty_page_3)\\r\\n self.satellite_page_4 = QtWidgets.QWidget()\\r\\n self.satellite_page_4.setObjectName(\\\"satellite_page_4\\\")\\r\\n self.groupBox_24 = QtWidgets.QGroupBox(self.satellite_page_4)\\r\\n self.groupBox_24.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_24.setFont(font)\\r\\n self.groupBox_24.setAutoFillBackground(False)\\r\\n self.groupBox_24.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_24.setObjectName(\\\"groupBox_24\\\")\\r\\n self.label_186 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_186.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_186.setObjectName(\\\"label_186\\\")\\r\\n self.label_187 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_187.setGeometry(QtCore.QRect(20, 80, 161, 21))\\r\\n self.label_187.setObjectName(\\\"label_187\\\")\\r\\n self.name_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.name_sat_4.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_sat_4.setObjectName(\\\"name_sat_4\\\")\\r\\n self.long_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.long_sat_4.setGeometry(QtCore.QRect(200, 80, 101, 22))\\r\\n self.long_sat_4.setObjectName(\\\"long_sat_4\\\")\\r\\n self.save_sat_4 = QtWidgets.QPushButton(self.groupBox_24)\\r\\n self.save_sat_4.setGeometry(QtCore.QRect(680, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_4.setFont(font)\\r\\n self.save_sat_4.setObjectName(\\\"save_sat_4\\\")\\r\\n self.load_sat_4 = QtWidgets.QPushButton(self.groupBox_24)\\r\\n self.load_sat_4.setGeometry(QtCore.QRect(550, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_4.setFont(font)\\r\\n self.load_sat_4.setObjectName(\\\"load_sat_4\\\")\\r\\n self.default_sat_4 = QtWidgets.QComboBox(self.groupBox_24)\\r\\n self.default_sat_4.setGeometry(QtCore.QRect(650, 70, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_4.setFont(font)\\r\\n self.default_sat_4.setObjectName(\\\"default_sat_4\\\")\\r\\n self.label_188 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_188.setGeometry(QtCore.QRect(650, 40, 131, 16))\\r\\n self.label_188.setObjectName(\\\"label_188\\\")\\r\\n self.label_189 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_189.setGeometry(QtCore.QRect(330, 78, 111, 16))\\r\\n self.label_189.setObjectName(\\\"label_189\\\")\\r\\n self.height_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.height_sat_4.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.height_sat_4.setObjectName(\\\"height_sat_4\\\")\\r\\n self.label_190 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_190.setGeometry(QtCore.QRect(330, 119, 121, 16))\\r\\n self.label_190.setObjectName(\\\"label_190\\\")\\r\\n self.eirp_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.eirp_sat_4.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.eirp_sat_4.setObjectName(\\\"eirp_sat_4\\\")\\r\\n self.label_191 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_191.setGeometry(QtCore.QRect(20, 148, 171, 51))\\r\\n self.label_191.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_191.setObjectName(\\\"label_191\\\")\\r\\n self.max_bw_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.max_bw_sat_4.setGeometry(QtCore.QRect(200, 158, 101, 22))\\r\\n self.max_bw_sat_4.setObjectName(\\\"max_bw_sat_4\\\")\\r\\n self.label_192 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_192.setGeometry(QtCore.QRect(330, 143, 171, 51))\\r\\n self.label_192.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_192.setObjectName(\\\"label_192\\\")\\r\\n self.bw_util_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.bw_util_sat_4.setGeometry(QtCore.QRect(510, 156, 101, 22))\\r\\n self.bw_util_sat_4.setObjectName(\\\"bw_util_sat_4\\\")\\r\\n self.label_193 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_193.setGeometry(QtCore.QRect(20, 203, 61, 16))\\r\\n self.label_193.setObjectName(\\\"label_193\\\")\\r\\n self.rolloff_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.rolloff_sat_4.setGeometry(QtCore.QRect(200, 203, 101, 22))\\r\\n self.rolloff_sat_4.setObjectName(\\\"rolloff_sat_4\\\")\\r\\n self.label_194 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_194.setGeometry(QtCore.QRect(330, 203, 91, 16))\\r\\n self.label_194.setObjectName(\\\"label_194\\\")\\r\\n self.modcod_sat_4 = QtWidgets.QComboBox(self.groupBox_24)\\r\\n self.modcod_sat_4.setGeometry(QtCore.QRect(450, 203, 161, 22))\\r\\n self.modcod_sat_4.setObjectName(\\\"modcod_sat_4\\\")\\r\\n self.modcod_sat_4.addItem(\\\"\\\")\\r\\n self.modcod_sat_4.addItem(\\\"\\\")\\r\\n self.modcod_sat_4.addItem(\\\"\\\")\\r\\n self.label_195 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_195.setGeometry(QtCore.QRect(20, 120, 131, 20))\\r\\n self.label_195.setObjectName(\\\"label_195\\\")\\r\\n self.freq_sat_4 = QtWidgets.QLineEdit(self.groupBox_24)\\r\\n self.freq_sat_4.setGeometry(QtCore.QRect(200, 120, 101, 22))\\r\\n self.freq_sat_4.setObjectName(\\\"freq_sat_4\\\")\\r\\n self.label_196 = QtWidgets.QLabel(self.groupBox_24)\\r\\n self.label_196.setGeometry(QtCore.QRect(673, 100, 91, 20))\\r\\n self.label_196.setObjectName(\\\"label_196\\\")\\r\\n self.pol_sat_6 = QtWidgets.QComboBox(self.groupBox_24)\\r\\n self.pol_sat_6.setGeometry(QtCore.QRect(667, 130, 101, 22))\\r\\n self.pol_sat_6.setObjectName(\\\"pol_sat_6\\\")\\r\\n self.pol_sat_6.addItem(\\\"\\\")\\r\\n self.pol_sat_6.addItem(\\\"\\\")\\r\\n self.pol_sat_6.addItem(\\\"\\\")\\r\\n self.clear_sat_4 = QtWidgets.QPushButton(self.groupBox_24)\\r\\n self.clear_sat_4.setGeometry(QtCore.QRect(420, 810, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_4.setFont(font)\\r\\n self.clear_sat_4.setObjectName(\\\"clear_sat_4\\\")\\r\\n self.stackedWidget_4.addWidget(self.satellite_page_4)\\r\\n self.ground_station_page_4 = QtWidgets.QWidget()\\r\\n self.ground_station_page_4.setObjectName(\\\"ground_station_page_4\\\")\\r\\n self.groupBox_25 = QtWidgets.QGroupBox(self.ground_station_page_4)\\r\\n self.groupBox_25.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_25.setFont(font)\\r\\n self.groupBox_25.setAutoFillBackground(False)\\r\\n self.groupBox_25.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_25.setObjectName(\\\"groupBox_25\\\")\\r\\n self.label_197 = QtWidgets.QLabel(self.groupBox_25)\\r\\n self.label_197.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_197.setObjectName(\\\"label_197\\\")\\r\\n self.label_198 = QtWidgets.QLabel(self.groupBox_25)\\r\\n self.label_198.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_198.setObjectName(\\\"label_198\\\")\\r\\n self.label_199 = QtWidgets.QLabel(self.groupBox_25)\\r\\n self.label_199.setGeometry(QtCore.QRect(20, 111, 161, 21))\\r\\n self.label_199.setObjectName(\\\"label_199\\\")\\r\\n self.name_ground_station_grstat_4 = QtWidgets.QLineEdit(self.groupBox_25)\\r\\n self.name_ground_station_grstat_4.setGeometry(QtCore.QRect(100, 36, 271, 22))\\r\\n self.name_ground_station_grstat_4.setObjectName(\\\"name_ground_station_grstat_4\\\")\\r\\n self.long_ground_station_grstat_4 = QtWidgets.QLineEdit(self.groupBox_25)\\r\\n self.long_ground_station_grstat_4.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.long_ground_station_grstat_4.setObjectName(\\\"long_ground_station_grstat_4\\\")\\r\\n self.lat_ground_station_grstat_4 = QtWidgets.QLineEdit(self.groupBox_25)\\r\\n self.lat_ground_station_grstat_4.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_grstat_4.setObjectName(\\\"lat_ground_station_grstat_4\\\")\\r\\n self.save_ground_station_gdstation_4 = QtWidgets.QPushButton(self.groupBox_25)\\r\\n self.save_ground_station_gdstation_4.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_gdstation_4.setFont(font)\\r\\n self.save_ground_station_gdstation_4.setObjectName(\\\"save_ground_station_gdstation_4\\\")\\r\\n self.load_ground_station_gdstation_4 = QtWidgets.QPushButton(self.groupBox_25)\\r\\n self.load_ground_station_gdstation_4.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_gdstation_4.setFont(font)\\r\\n self.load_ground_station_gdstation_4.setObjectName(\\\"load_ground_station_gdstation_4\\\")\\r\\n self.clear_ground_station_gdstation_4 = QtWidgets.QPushButton(self.groupBox_25)\\r\\n self.clear_ground_station_gdstation_4.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_gdstation_4.setFont(font)\\r\\n self.clear_ground_station_gdstation_4.setObjectName(\\\"clear_ground_station_gdstation_4\\\")\\r\\n self.stackedWidget_4.addWidget(self.ground_station_page_4)\\r\\n self.reception_page_4 = QtWidgets.QWidget()\\r\\n self.reception_page_4.setObjectName(\\\"reception_page_4\\\")\\r\\n self.groupBox_26 = QtWidgets.QGroupBox(self.reception_page_4)\\r\\n self.groupBox_26.setGeometry(QtCore.QRect(10, 10, 801, 851))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_26.setFont(font)\\r\\n self.groupBox_26.setAutoFillBackground(False)\\r\\n self.groupBox_26.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_26.setObjectName(\\\"groupBox_26\\\")\\r\\n self.label_200 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_200.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_200.setObjectName(\\\"label_200\\\")\\r\\n self.label_201 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_201.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_201.setObjectName(\\\"label_201\\\")\\r\\n self.label_202 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_202.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_202.setObjectName(\\\"label_202\\\")\\r\\n self.name_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.name_reception_rcp_4.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_rcp_4.setObjectName(\\\"name_reception_rcp_4\\\")\\r\\n self.lnb_gain_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.lnb_gain_reception_rcp_4.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_rcp_4.setObjectName(\\\"lnb_gain_reception_rcp_4\\\")\\r\\n self.ant_size_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.ant_size_reception_rcp_4.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_rcp_4.setObjectName(\\\"ant_size_reception_rcp_4\\\")\\r\\n self.save_reception_rcp_4 = QtWidgets.QPushButton(self.groupBox_26)\\r\\n self.save_reception_rcp_4.setGeometry(QtCore.QRect(700, 810, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_rcp_4.setFont(font)\\r\\n self.save_reception_rcp_4.setObjectName(\\\"save_reception_rcp_4\\\")\\r\\n self.load_reception_rcp_10 = QtWidgets.QPushButton(self.groupBox_26)\\r\\n self.load_reception_rcp_10.setGeometry(QtCore.QRect(591, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_10.setFont(font)\\r\\n self.load_reception_rcp_10.setObjectName(\\\"load_reception_rcp_10\\\")\\r\\n self.label_203 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_203.setGeometry(QtCore.QRect(330, 80, 171, 16))\\r\\n self.label_203.setObjectName(\\\"label_203\\\")\\r\\n self.ant_eff_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.ant_eff_reception_rcp_4.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_rcp_4.setObjectName(\\\"ant_eff_reception_rcp_4\\\")\\r\\n self.label_204 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_204.setGeometry(QtCore.QRect(330, 119, 161, 16))\\r\\n self.label_204.setObjectName(\\\"label_204\\\")\\r\\n self.lnb_temp_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.lnb_temp_reception_rcp_4.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_rcp_4.setObjectName(\\\"lnb_temp_reception_rcp_4\\\")\\r\\n self.label_205 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_205.setGeometry(QtCore.QRect(20, 138, 171, 51))\\r\\n self.label_205.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_205.setObjectName(\\\"label_205\\\")\\r\\n self.aditional_losses_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.aditional_losses_reception_rcp_4.setGeometry(QtCore.QRect(200, 153, 101, 22))\\r\\n self.aditional_losses_reception_rcp_4.setObjectName(\\\"aditional_losses_reception_rcp_4\\\")\\r\\n self.label_206 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_206.setGeometry(QtCore.QRect(20, 187, 171, 51))\\r\\n self.label_206.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_206.setObjectName(\\\"label_206\\\")\\r\\n self.max_depoint_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.max_depoint_reception_rcp_4.setGeometry(QtCore.QRect(200, 200, 101, 22))\\r\\n self.max_depoint_reception_rcp_4.setObjectName(\\\"max_depoint_reception_rcp_4\\\")\\r\\n self.clear_reception_rcp_6 = QtWidgets.QPushButton(self.groupBox_26)\\r\\n self.clear_reception_rcp_6.setGeometry(QtCore.QRect(481, 811, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp_6.setFont(font)\\r\\n self.clear_reception_rcp_6.setObjectName(\\\"clear_reception_rcp_6\\\")\\r\\n self.label_207 = QtWidgets.QLabel(self.groupBox_26)\\r\\n self.label_207.setGeometry(QtCore.QRect(330, 140, 171, 51))\\r\\n self.label_207.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_207.setObjectName(\\\"label_207\\\")\\r\\n self.cable_loss_reception_rcp_4 = QtWidgets.QLineEdit(self.groupBox_26)\\r\\n self.cable_loss_reception_rcp_4.setGeometry(QtCore.QRect(510, 155, 101, 22))\\r\\n self.cable_loss_reception_rcp_4.setObjectName(\\\"cable_loss_reception_rcp_4\\\")\\r\\n self.stackedWidget_4.addWidget(self.reception_page_4)\\r\\n self.ant_size_single_point_calc_page_4 = QtWidgets.QWidget()\\r\\n self.ant_size_single_point_calc_page_4.setObjectName(\\\"ant_size_single_point_calc_page_4\\\")\\r\\n self.stackedWidget_4.addWidget(self.ant_size_single_point_calc_page_4)\\r\\n self.list_ant_size_calc_page_3 = QtWidgets.QWidget()\\r\\n self.list_ant_size_calc_page_3.setObjectName(\\\"list_ant_size_calc_page_3\\\")\\r\\n self.stackedWidget_4.addWidget(self.list_ant_size_calc_page_3)\\r\\n self.single_point_atm_calc_page_3 = QtWidgets.QWidget()\\r\\n self.single_point_atm_calc_page_3.setObjectName(\\\"single_point_atm_calc_page_3\\\")\\r\\n self.groupBox_27 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_3)\\r\\n self.groupBox_27.setGeometry(QtCore.QRect(20, 20, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_27.setFont(font)\\r\\n self.groupBox_27.setObjectName(\\\"groupBox_27\\\")\\r\\n self.lat_ground_station_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\\r\\n self.lat_ground_station_spatm_3.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.lat_ground_station_spatm_3.setObjectName(\\\"lat_ground_station_spatm_3\\\")\\r\\n self.long_ground_station_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\\r\\n self.long_ground_station_spatm_3.setGeometry(QtCore.QRect(500, 30, 101, 22))\\r\\n self.long_ground_station_spatm_3.setObjectName(\\\"long_ground_station_spatm_3\\\")\\r\\n self.label_208 = QtWidgets.QLabel(self.groupBox_27)\\r\\n self.label_208.setGeometry(QtCore.QRect(20, 23, 151, 31))\\r\\n self.label_208.setObjectName(\\\"label_208\\\")\\r\\n self.label_209 = QtWidgets.QLabel(self.groupBox_27)\\r\\n self.label_209.setGeometry(QtCore.QRect(319, 28, 161, 21))\\r\\n self.label_209.setObjectName(\\\"label_209\\\")\\r\\n self.label_210 = QtWidgets.QLabel(self.groupBox_27)\\r\\n self.label_210.setGeometry(QtCore.QRect(20, 60, 161, 21))\\r\\n self.label_210.setObjectName(\\\"label_210\\\")\\r\\n self.ant_size_reception_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\\r\\n self.ant_size_reception_spatm_3.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.ant_size_reception_spatm_3.setObjectName(\\\"ant_size_reception_spatm_3\\\")\\r\\n self.ant_eff_reception_spatm_3 = QtWidgets.QLineEdit(self.groupBox_27)\\r\\n self.ant_eff_reception_spatm_3.setGeometry(QtCore.QRect(500, 60, 101, 22))\\r\\n self.ant_eff_reception_spatm_3.setObjectName(\\\"ant_eff_reception_spatm_3\\\")\\r\\n self.label_211 = QtWidgets.QLabel(self.groupBox_27)\\r\\n self.label_211.setGeometry(QtCore.QRect(320, 60, 141, 16))\\r\\n self.label_211.setObjectName(\\\"label_211\\\")\\r\\n self.clear_reception_rcp_7 = QtWidgets.QPushButton(self.groupBox_27)\\r\\n self.clear_reception_rcp_7.setGeometry(QtCore.QRect(660, 30, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp_7.setFont(font)\\r\\n self.clear_reception_rcp_7.setObjectName(\\\"clear_reception_rcp_7\\\")\\r\\n self.load_reception_rcp_11 = QtWidgets.QPushButton(self.groupBox_27)\\r\\n self.load_reception_rcp_11.setGeometry(QtCore.QRect(15, 91, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_11.setFont(font)\\r\\n self.load_reception_rcp_11.setObjectName(\\\"load_reception_rcp_11\\\")\\r\\n self.load_reception_rcp_12 = QtWidgets.QPushButton(self.groupBox_27)\\r\\n self.load_reception_rcp_12.setGeometry(QtCore.QRect(230, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_12.setFont(font)\\r\\n self.load_reception_rcp_12.setObjectName(\\\"load_reception_rcp_12\\\")\\r\\n self.calc_spatm_3 = QtWidgets.QPushButton(self.single_point_atm_calc_page_3)\\r\\n self.calc_spatm_3.setGeometry(QtCore.QRect(666, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_spatm_3.setFont(font)\\r\\n self.calc_spatm_3.setObjectName(\\\"calc_spatm_3\\\")\\r\\n self.textEdit_4 = QtWidgets.QTextEdit(self.single_point_atm_calc_page_3)\\r\\n self.textEdit_4.setGeometry(QtCore.QRect(6, 650, 801, 171))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.textEdit_4.setFont(font)\\r\\n self.textEdit_4.setObjectName(\\\"textEdit_4\\\")\\r\\n self.groupBox_28 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_3)\\r\\n self.groupBox_28.setGeometry(QtCore.QRect(20, 150, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_28.setFont(font)\\r\\n self.groupBox_28.setObjectName(\\\"groupBox_28\\\")\\r\\n self.label_212 = QtWidgets.QLabel(self.groupBox_28)\\r\\n self.label_212.setGeometry(QtCore.QRect(20, 60, 131, 16))\\r\\n self.label_212.setObjectName(\\\"label_212\\\")\\r\\n self.label_213 = QtWidgets.QLabel(self.groupBox_28)\\r\\n self.label_213.setGeometry(QtCore.QRect(20, 30, 161, 21))\\r\\n self.label_213.setObjectName(\\\"label_213\\\")\\r\\n self.long_sat_spatm_3 = QtWidgets.QLineEdit(self.groupBox_28)\\r\\n self.long_sat_spatm_3.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.long_sat_spatm_3.setObjectName(\\\"long_sat_spatm_3\\\")\\r\\n self.freq_sat_spatm_3 = QtWidgets.QLineEdit(self.groupBox_28)\\r\\n self.freq_sat_spatm_3.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.freq_sat_spatm_3.setObjectName(\\\"freq_sat_spatm_3\\\")\\r\\n self.default_sat_sp_perf_5 = QtWidgets.QComboBox(self.groupBox_28)\\r\\n self.default_sat_sp_perf_5.setGeometry(QtCore.QRect(634, 44, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_perf_5.setFont(font)\\r\\n self.default_sat_sp_perf_5.setObjectName(\\\"default_sat_sp_perf_5\\\")\\r\\n self.label_214 = QtWidgets.QLabel(self.groupBox_28)\\r\\n self.label_214.setGeometry(QtCore.QRect(636, 14, 131, 16))\\r\\n self.label_214.setObjectName(\\\"label_214\\\")\\r\\n self.pol_sat_7 = QtWidgets.QComboBox(self.groupBox_28)\\r\\n self.pol_sat_7.setGeometry(QtCore.QRect(450, 30, 101, 22))\\r\\n self.pol_sat_7.setObjectName(\\\"pol_sat_7\\\")\\r\\n self.pol_sat_7.addItem(\\\"\\\")\\r\\n self.pol_sat_7.addItem(\\\"\\\")\\r\\n self.pol_sat_7.addItem(\\\"\\\")\\r\\n self.label_215 = QtWidgets.QLabel(self.groupBox_28)\\r\\n self.label_215.setGeometry(QtCore.QRect(350, 30, 91, 20))\\r\\n self.label_215.setObjectName(\\\"label_215\\\")\\r\\n self.load_reception_rcp_13 = QtWidgets.QPushButton(self.groupBox_28)\\r\\n self.load_reception_rcp_13.setGeometry(QtCore.QRect(10, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_13.setFont(font)\\r\\n self.load_reception_rcp_13.setObjectName(\\\"load_reception_rcp_13\\\")\\r\\n self.p_year_spatm_3 = QtWidgets.QLineEdit(self.single_point_atm_calc_page_3)\\r\\n self.p_year_spatm_3.setGeometry(QtCore.QRect(550, 834, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.p_year_spatm_3.setFont(font)\\r\\n self.p_year_spatm_3.setToolTip(\\\"\\\")\\r\\n self.p_year_spatm_3.setObjectName(\\\"p_year_spatm_3\\\")\\r\\n self.label_216 = QtWidgets.QLabel(self.single_point_atm_calc_page_3)\\r\\n self.label_216.setGeometry(QtCore.QRect(340, 834, 201, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_216.setFont(font)\\r\\n self.label_216.setObjectName(\\\"label_216\\\")\\r\\n self.label_217 = QtWidgets.QLabel(self.single_point_atm_calc_page_3)\\r\\n self.label_217.setGeometry(QtCore.QRect(10, 837, 71, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_217.setFont(font)\\r\\n self.label_217.setObjectName(\\\"label_217\\\")\\r\\n self.method_spatm_3 = QtWidgets.QComboBox(self.single_point_atm_calc_page_3)\\r\\n self.method_spatm_3.setGeometry(QtCore.QRect(84, 835, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.method_spatm_3.setFont(font)\\r\\n self.method_spatm_3.setObjectName(\\\"method_spatm_3\\\")\\r\\n self.method_spatm_3.addItem(\\\"\\\")\\r\\n self.method_spatm_3.addItem(\\\"\\\")\\r\\n self.stackedWidget_4.addWidget(self.single_point_atm_calc_page_3)\\r\\n self.single_point_perf_calc_page_3 = QtWidgets.QWidget()\\r\\n self.single_point_perf_calc_page_3.setObjectName(\\\"single_point_perf_calc_page_3\\\")\\r\\n self.groupBox_29 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_3)\\r\\n self.groupBox_29.setGeometry(QtCore.QRect(10, 10, 801, 121))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_29.setFont(font)\\r\\n self.groupBox_29.setAutoFillBackground(False)\\r\\n self.groupBox_29.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_29.setObjectName(\\\"groupBox_29\\\")\\r\\n self.label_218 = QtWidgets.QLabel(self.groupBox_29)\\r\\n self.label_218.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_218.setObjectName(\\\"label_218\\\")\\r\\n self.label_219 = QtWidgets.QLabel(self.groupBox_29)\\r\\n self.label_219.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_219.setObjectName(\\\"label_219\\\")\\r\\n self.label_220 = QtWidgets.QLabel(self.groupBox_29)\\r\\n self.label_220.setGeometry(QtCore.QRect(330, 78, 161, 21))\\r\\n self.label_220.setObjectName(\\\"label_220\\\")\\r\\n self.name_ground_station_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_29)\\r\\n self.name_ground_station_sp_perf_3.setGeometry(QtCore.QRect(100, 36, 511, 22))\\r\\n self.name_ground_station_sp_perf_3.setObjectName(\\\"name_ground_station_sp_perf_3\\\")\\r\\n self.long_ground_station_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_29)\\r\\n self.long_ground_station_sp_perf_3.setGeometry(QtCore.QRect(510, 80, 101, 22))\\r\\n self.long_ground_station_sp_perf_3.setObjectName(\\\"long_ground_station_sp_perf_3\\\")\\r\\n self.lat_ground_station_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_29)\\r\\n self.lat_ground_station_sp_perf_3.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_sp_perf_3.setObjectName(\\\"lat_ground_station_sp_perf_3\\\")\\r\\n self.save_ground_station_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_29)\\r\\n self.save_ground_station_sp_perf_3.setGeometry(QtCore.QRect(652, 80, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_sp_perf_3.setFont(font)\\r\\n self.save_ground_station_sp_perf_3.setObjectName(\\\"save_ground_station_sp_perf_3\\\")\\r\\n self.load_ground_station_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_29)\\r\\n self.load_ground_station_sp_perf_3.setGeometry(QtCore.QRect(652, 48, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_sp_perf_3.setFont(font)\\r\\n self.load_ground_station_sp_perf_3.setObjectName(\\\"load_ground_station_sp_perf_3\\\")\\r\\n self.clear_ground_station_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_29)\\r\\n self.clear_ground_station_sp_perf_3.setGeometry(QtCore.QRect(652, 16, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_sp_perf_3.setFont(font)\\r\\n self.clear_ground_station_sp_perf_3.setObjectName(\\\"clear_ground_station_sp_perf_3\\\")\\r\\n self.groupBox_30 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_3)\\r\\n self.groupBox_30.setGeometry(QtCore.QRect(10, 129, 801, 271))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_30.setFont(font)\\r\\n self.groupBox_30.setAutoFillBackground(False)\\r\\n self.groupBox_30.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_30.setObjectName(\\\"groupBox_30\\\")\\r\\n self.label_221 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_221.setGeometry(QtCore.QRect(20, 29, 55, 16))\\r\\n self.label_221.setObjectName(\\\"label_221\\\")\\r\\n self.label_222 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_222.setGeometry(QtCore.QRect(20, 71, 161, 21))\\r\\n self.label_222.setObjectName(\\\"label_222\\\")\\r\\n self.name_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.name_sat_sp_perf_3.setGeometry(QtCore.QRect(100, 29, 511, 22))\\r\\n self.name_sat_sp_perf_3.setObjectName(\\\"name_sat_sp_perf_3\\\")\\r\\n self.long_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.long_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 71, 101, 22))\\r\\n self.long_sat_sp_perf_3.setObjectName(\\\"long_sat_sp_perf_3\\\")\\r\\n self.save_sat_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_30)\\r\\n self.save_sat_sp_perf_3.setGeometry(QtCore.QRect(653, 231, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_sp_perf_3.setFont(font)\\r\\n self.save_sat_sp_perf_3.setObjectName(\\\"save_sat_sp_perf_3\\\")\\r\\n self.load_sat_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_30)\\r\\n self.load_sat_sp_perf_3.setGeometry(QtCore.QRect(653, 199, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_sp_perf_3.setFont(font)\\r\\n self.load_sat_sp_perf_3.setObjectName(\\\"load_sat_sp_perf_3\\\")\\r\\n self.default_sat_sp_perf_6 = QtWidgets.QComboBox(self.groupBox_30)\\r\\n self.default_sat_sp_perf_6.setGeometry(QtCore.QRect(650, 61, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_perf_6.setFont(font)\\r\\n self.default_sat_sp_perf_6.setObjectName(\\\"default_sat_sp_perf_6\\\")\\r\\n self.label_223 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_223.setGeometry(QtCore.QRect(648, 31, 131, 16))\\r\\n self.label_223.setObjectName(\\\"label_223\\\")\\r\\n self.label_224 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_224.setGeometry(QtCore.QRect(330, 69, 111, 16))\\r\\n self.label_224.setObjectName(\\\"label_224\\\")\\r\\n self.height_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.height_sat_sp_perf_3.setGeometry(QtCore.QRect(510, 69, 101, 22))\\r\\n self.height_sat_sp_perf_3.setObjectName(\\\"height_sat_sp_perf_3\\\")\\r\\n self.label_225 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_225.setGeometry(QtCore.QRect(330, 110, 121, 16))\\r\\n self.label_225.setObjectName(\\\"label_225\\\")\\r\\n self.eirp_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.eirp_sat_sp_perf_3.setGeometry(QtCore.QRect(510, 106, 101, 22))\\r\\n self.eirp_sat_sp_perf_3.setObjectName(\\\"eirp_sat_sp_perf_3\\\")\\r\\n self.label_226 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_226.setGeometry(QtCore.QRect(20, 139, 171, 51))\\r\\n self.label_226.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_226.setObjectName(\\\"label_226\\\")\\r\\n self.max_bw_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.max_bw_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 149, 101, 22))\\r\\n self.max_bw_sat_sp_perf_3.setObjectName(\\\"max_bw_sat_sp_perf_3\\\")\\r\\n self.label_227 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_227.setGeometry(QtCore.QRect(330, 134, 171, 51))\\r\\n self.label_227.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_227.setObjectName(\\\"label_227\\\")\\r\\n self.bw_util_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.bw_util_sat_sp_perf_3.setGeometry(QtCore.QRect(510, 147, 101, 22))\\r\\n self.bw_util_sat_sp_perf_3.setObjectName(\\\"bw_util_sat_sp_perf_3\\\")\\r\\n self.label_228 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_228.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_228.setObjectName(\\\"label_228\\\")\\r\\n self.rolloff_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.rolloff_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.rolloff_sat_sp_perf_3.setObjectName(\\\"rolloff_sat_sp_perf_3\\\")\\r\\n self.label_229 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_229.setGeometry(QtCore.QRect(330, 192, 91, 16))\\r\\n self.label_229.setObjectName(\\\"label_229\\\")\\r\\n self.modcod_sat_sp_perf_3 = QtWidgets.QComboBox(self.groupBox_30)\\r\\n self.modcod_sat_sp_perf_3.setGeometry(QtCore.QRect(450, 190, 161, 22))\\r\\n self.modcod_sat_sp_perf_3.setObjectName(\\\"modcod_sat_sp_perf_3\\\")\\r\\n self.modcod_sat_sp_perf_3.addItem(\\\"\\\")\\r\\n self.modcod_sat_sp_perf_3.addItem(\\\"\\\")\\r\\n self.modcod_sat_sp_perf_3.addItem(\\\"\\\")\\r\\n self.label_230 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_230.setGeometry(QtCore.QRect(20, 111, 131, 20))\\r\\n self.label_230.setObjectName(\\\"label_230\\\")\\r\\n self.freq_sat_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_30)\\r\\n self.freq_sat_sp_perf_3.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.freq_sat_sp_perf_3.setObjectName(\\\"freq_sat_sp_perf_3\\\")\\r\\n self.label_231 = QtWidgets.QLabel(self.groupBox_30)\\r\\n self.label_231.setGeometry(QtCore.QRect(665, 97, 91, 20))\\r\\n self.label_231.setObjectName(\\\"label_231\\\")\\r\\n self.pol_sat_sp_perf_3 = QtWidgets.QComboBox(self.groupBox_30)\\r\\n self.pol_sat_sp_perf_3.setGeometry(QtCore.QRect(660, 121, 101, 22))\\r\\n self.pol_sat_sp_perf_3.setObjectName(\\\"pol_sat_sp_perf_3\\\")\\r\\n self.pol_sat_sp_perf_3.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_perf_3.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_perf_3.addItem(\\\"\\\")\\r\\n self.clear_sat_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_30)\\r\\n self.clear_sat_sp_perf_3.setGeometry(QtCore.QRect(653, 169, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_sp_perf_3.setFont(font)\\r\\n self.clear_sat_sp_perf_3.setObjectName(\\\"clear_sat_sp_perf_3\\\")\\r\\n self.groupBox_31 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_3)\\r\\n self.groupBox_31.setGeometry(QtCore.QRect(10, 400, 801, 201))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_31.setFont(font)\\r\\n self.groupBox_31.setAutoFillBackground(False)\\r\\n self.groupBox_31.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_31.setObjectName(\\\"groupBox_31\\\")\\r\\n self.label_232 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_232.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_232.setObjectName(\\\"label_232\\\")\\r\\n self.label_233 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_233.setGeometry(QtCore.QRect(20, 71, 161, 21))\\r\\n self.label_233.setObjectName(\\\"label_233\\\")\\r\\n self.name_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.name_reception_sp_perf_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_sp_perf_3.setObjectName(\\\"name_reception_sp_perf_3\\\")\\r\\n self.lnb_gain_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.lnb_gain_reception_sp_perf_3.setGeometry(QtCore.QRect(200, 71, 101, 22))\\r\\n self.lnb_gain_reception_sp_perf_3.setObjectName(\\\"lnb_gain_reception_sp_perf_3\\\")\\r\\n self.save_reception_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_31)\\r\\n self.save_reception_sp_perf_3.setGeometry(QtCore.QRect(654, 147, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_sp_perf_3.setFont(font)\\r\\n self.save_reception_sp_perf_3.setObjectName(\\\"save_reception_sp_perf_3\\\")\\r\\n self.load_reception_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_31)\\r\\n self.load_reception_sp_perf_3.setGeometry(QtCore.QRect(654, 113, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_sp_perf_3.setFont(font)\\r\\n self.load_reception_sp_perf_3.setObjectName(\\\"load_reception_sp_perf_3\\\")\\r\\n self.label_234 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_234.setGeometry(QtCore.QRect(330, 148, 141, 16))\\r\\n self.label_234.setObjectName(\\\"label_234\\\")\\r\\n self.ant_eff_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.ant_eff_reception_sp_perf_3.setGeometry(QtCore.QRect(510, 148, 101, 22))\\r\\n self.ant_eff_reception_sp_perf_3.setObjectName(\\\"ant_eff_reception_sp_perf_3\\\")\\r\\n self.label_235 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_235.setGeometry(QtCore.QRect(330, 76, 161, 16))\\r\\n self.label_235.setObjectName(\\\"label_235\\\")\\r\\n self.lnb_temp_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.lnb_temp_reception_sp_perf_3.setGeometry(QtCore.QRect(510, 73, 101, 22))\\r\\n self.lnb_temp_reception_sp_perf_3.setObjectName(\\\"lnb_temp_reception_sp_perf_3\\\")\\r\\n self.label_236 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_236.setGeometry(QtCore.QRect(17, 97, 171, 51))\\r\\n self.label_236.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_236.setObjectName(\\\"label_236\\\")\\r\\n self.aditional_losses_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.aditional_losses_reception_sp_perf_3.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.aditional_losses_reception_sp_perf_3.setObjectName(\\\"aditional_losses_reception_sp_perf_3\\\")\\r\\n self.label_237 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_237.setGeometry(QtCore.QRect(19, 137, 171, 51))\\r\\n self.label_237.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_237.setObjectName(\\\"label_237\\\")\\r\\n self.max_depoint_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.max_depoint_reception_sp_perf_3.setGeometry(QtCore.QRect(200, 150, 101, 22))\\r\\n self.max_depoint_reception_sp_perf_3.setObjectName(\\\"max_depoint_reception_sp_perf_3\\\")\\r\\n self.clear_reception_sp_perf_3 = QtWidgets.QPushButton(self.groupBox_31)\\r\\n self.clear_reception_sp_perf_3.setGeometry(QtCore.QRect(654, 81, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_sp_perf_3.setFont(font)\\r\\n self.clear_reception_sp_perf_3.setObjectName(\\\"clear_reception_sp_perf_3\\\")\\r\\n self.cable_loss_reception_sp_perf_3 = QtWidgets.QLineEdit(self.groupBox_31)\\r\\n self.cable_loss_reception_sp_perf_3.setGeometry(QtCore.QRect(509, 112, 101, 22))\\r\\n self.cable_loss_reception_sp_perf_3.setObjectName(\\\"cable_loss_reception_sp_perf_3\\\")\\r\\n self.label_238 = QtWidgets.QLabel(self.groupBox_31)\\r\\n self.label_238.setGeometry(QtCore.QRect(330, 98, 171, 51))\\r\\n self.label_238.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_238.setObjectName(\\\"label_238\\\")\\r\\n self.calc_sp_perf_3 = QtWidgets.QPushButton(self.single_point_perf_calc_page_3)\\r\\n self.calc_sp_perf_3.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_sp_perf_3.setFont(font)\\r\\n self.calc_sp_perf_3.setObjectName(\\\"calc_sp_perf_3\\\")\\r\\n self.label_239 = QtWidgets.QLabel(self.single_point_perf_calc_page_3)\\r\\n self.label_239.setGeometry(QtCore.QRect(10, 830, 151, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_239.setFont(font)\\r\\n self.label_239.setObjectName(\\\"label_239\\\")\\r\\n self.relaxation_sp_perf_3 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_3)\\r\\n self.relaxation_sp_perf_3.setGeometry(QtCore.QRect(170, 830, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_sp_perf_3.setFont(font)\\r\\n self.relaxation_sp_perf_3.setToolTip(\\\"\\\")\\r\\n self.relaxation_sp_perf_3.setObjectName(\\\"relaxation_sp_perf_3\\\")\\r\\n self.margin_sp_perf_3 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_3)\\r\\n self.margin_sp_perf_3.setGeometry(QtCore.QRect(340, 830, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_sp_perf_3.setFont(font)\\r\\n self.margin_sp_perf_3.setToolTip(\\\"\\\")\\r\\n self.margin_sp_perf_3.setObjectName(\\\"margin_sp_perf_3\\\")\\r\\n self.label_240 = QtWidgets.QLabel(self.single_point_perf_calc_page_3)\\r\\n self.label_240.setGeometry(QtCore.QRect(240, 830, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_240.setFont(font)\\r\\n self.label_240.setObjectName(\\\"label_240\\\")\\r\\n self.plot_area_2 = QtWidgets.QWidget(self.single_point_perf_calc_page_3)\\r\\n self.plot_area_2.setGeometry(QtCore.QRect(10, 609, 791, 211))\\r\\n self.plot_area_2.setObjectName(\\\"plot_area_2\\\")\\r\\n self.stackedWidget_4.addWidget(self.single_point_perf_calc_page_3)\\r\\n self.list_perf_calc_page_3 = QtWidgets.QWidget()\\r\\n self.list_perf_calc_page_3.setObjectName(\\\"list_perf_calc_page_3\\\")\\r\\n self.browse_path_mp_perf_3 = QtWidgets.QPushButton(self.list_perf_calc_page_3)\\r\\n self.browse_path_mp_perf_3.setGeometry(QtCore.QRect(700, 11, 93, 21))\\r\\n self.browse_path_mp_perf_3.setObjectName(\\\"browse_path_mp_perf_3\\\")\\r\\n self.label_241 = QtWidgets.QLabel(self.list_perf_calc_page_3)\\r\\n self.label_241.setGeometry(QtCore.QRect(6, 13, 55, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_241.setFont(font)\\r\\n self.label_241.setObjectName(\\\"label_241\\\")\\r\\n self.preview_mp_perf_3 = QtWidgets.QTableWidget(self.list_perf_calc_page_3)\\r\\n self.preview_mp_perf_3.setGeometry(QtCore.QRect(10, 61, 801, 131))\\r\\n self.preview_mp_perf_3.setObjectName(\\\"preview_mp_perf_3\\\")\\r\\n self.preview_mp_perf_3.setColumnCount(0)\\r\\n self.preview_mp_perf_3.setRowCount(0)\\r\\n self.label_242 = QtWidgets.QLabel(self.list_perf_calc_page_3)\\r\\n self.label_242.setGeometry(QtCore.QRect(10, 41, 91, 16))\\r\\n self.label_242.setObjectName(\\\"label_242\\\")\\r\\n self.groupBox_32 = QtWidgets.QGroupBox(self.list_perf_calc_page_3)\\r\\n self.groupBox_32.setGeometry(QtCore.QRect(8, 199, 801, 261))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_32.setFont(font)\\r\\n self.groupBox_32.setAutoFillBackground(False)\\r\\n self.groupBox_32.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_32.setObjectName(\\\"groupBox_32\\\")\\r\\n self.label_243 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_243.setGeometry(QtCore.QRect(20, 27, 55, 16))\\r\\n self.label_243.setObjectName(\\\"label_243\\\")\\r\\n self.label_244 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_244.setGeometry(QtCore.QRect(20, 69, 161, 21))\\r\\n self.label_244.setObjectName(\\\"label_244\\\")\\r\\n self.name_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.name_sat_mp_perf_3.setGeometry(QtCore.QRect(100, 27, 511, 22))\\r\\n self.name_sat_mp_perf_3.setObjectName(\\\"name_sat_mp_perf_3\\\")\\r\\n self.long_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.long_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 69, 101, 22))\\r\\n self.long_sat_mp_perf_3.setObjectName(\\\"long_sat_mp_perf_3\\\")\\r\\n self.save_sat_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_32)\\r\\n self.save_sat_mp_perf_3.setGeometry(QtCore.QRect(658, 222, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_mp_perf_3.setFont(font)\\r\\n self.save_sat_mp_perf_3.setObjectName(\\\"save_sat_mp_perf_3\\\")\\r\\n self.load_sat_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_32)\\r\\n self.load_sat_mp_perf_3.setGeometry(QtCore.QRect(658, 190, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_mp_perf_3.setFont(font)\\r\\n self.load_sat_mp_perf_3.setObjectName(\\\"load_sat_mp_perf_3\\\")\\r\\n self.default_sat_mp_perf_3 = QtWidgets.QComboBox(self.groupBox_32)\\r\\n self.default_sat_mp_perf_3.setGeometry(QtCore.QRect(650, 58, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_mp_perf_3.setFont(font)\\r\\n self.default_sat_mp_perf_3.setObjectName(\\\"default_sat_mp_perf_3\\\")\\r\\n self.label_245 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_245.setGeometry(QtCore.QRect(651, 29, 131, 16))\\r\\n self.label_245.setObjectName(\\\"label_245\\\")\\r\\n self.label_246 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_246.setGeometry(QtCore.QRect(330, 70, 111, 16))\\r\\n self.label_246.setObjectName(\\\"label_246\\\")\\r\\n self.height_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.height_sat_mp_perf_3.setGeometry(QtCore.QRect(510, 67, 101, 22))\\r\\n self.height_sat_mp_perf_3.setObjectName(\\\"height_sat_mp_perf_3\\\")\\r\\n self.label_247 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_247.setGeometry(QtCore.QRect(330, 108, 121, 16))\\r\\n self.label_247.setObjectName(\\\"label_247\\\")\\r\\n self.eirp_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.eirp_sat_mp_perf_3.setGeometry(QtCore.QRect(510, 104, 101, 22))\\r\\n self.eirp_sat_mp_perf_3.setObjectName(\\\"eirp_sat_mp_perf_3\\\")\\r\\n self.label_248 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_248.setGeometry(QtCore.QRect(20, 137, 171, 51))\\r\\n self.label_248.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_248.setObjectName(\\\"label_248\\\")\\r\\n self.max_bw_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.max_bw_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 147, 101, 22))\\r\\n self.max_bw_sat_mp_perf_3.setObjectName(\\\"max_bw_sat_mp_perf_3\\\")\\r\\n self.label_249 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_249.setGeometry(QtCore.QRect(330, 132, 171, 51))\\r\\n self.label_249.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_249.setObjectName(\\\"label_249\\\")\\r\\n self.bw_util_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.bw_util_sat_mp_perf_3.setGeometry(QtCore.QRect(510, 145, 101, 22))\\r\\n self.bw_util_sat_mp_perf_3.setObjectName(\\\"bw_util_sat_mp_perf_3\\\")\\r\\n self.label_250 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_250.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_250.setObjectName(\\\"label_250\\\")\\r\\n self.rolloff_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.rolloff_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 191, 101, 22))\\r\\n self.rolloff_sat_mp_perf_3.setObjectName(\\\"rolloff_sat_mp_perf_3\\\")\\r\\n self.label_251 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_251.setGeometry(QtCore.QRect(330, 191, 91, 16))\\r\\n self.label_251.setObjectName(\\\"label_251\\\")\\r\\n self.modcod_sat_mp_perf_3 = QtWidgets.QComboBox(self.groupBox_32)\\r\\n self.modcod_sat_mp_perf_3.setGeometry(QtCore.QRect(450, 191, 161, 22))\\r\\n self.modcod_sat_mp_perf_3.setObjectName(\\\"modcod_sat_mp_perf_3\\\")\\r\\n self.modcod_sat_mp_perf_3.addItem(\\\"\\\")\\r\\n self.modcod_sat_mp_perf_3.addItem(\\\"\\\")\\r\\n self.modcod_sat_mp_perf_3.addItem(\\\"\\\")\\r\\n self.label_252 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_252.setGeometry(QtCore.QRect(20, 109, 131, 20))\\r\\n self.label_252.setObjectName(\\\"label_252\\\")\\r\\n self.freq_sat_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_32)\\r\\n self.freq_sat_mp_perf_3.setGeometry(QtCore.QRect(200, 109, 101, 22))\\r\\n self.freq_sat_mp_perf_3.setObjectName(\\\"freq_sat_mp_perf_3\\\")\\r\\n self.label_253 = QtWidgets.QLabel(self.groupBox_32)\\r\\n self.label_253.setGeometry(QtCore.QRect(666, 89, 91, 20))\\r\\n self.label_253.setObjectName(\\\"label_253\\\")\\r\\n self.pol_sat_mp_perf_3 = QtWidgets.QComboBox(self.groupBox_32)\\r\\n self.pol_sat_mp_perf_3.setGeometry(QtCore.QRect(663, 119, 101, 22))\\r\\n self.pol_sat_mp_perf_3.setObjectName(\\\"pol_sat_mp_perf_3\\\")\\r\\n self.pol_sat_mp_perf_3.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_perf_3.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_perf_3.addItem(\\\"\\\")\\r\\n self.clear_satellite_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_32)\\r\\n self.clear_satellite_mp_perf_3.setGeometry(QtCore.QRect(658, 156, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_satellite_mp_perf_3.setFont(font)\\r\\n self.clear_satellite_mp_perf_3.setObjectName(\\\"clear_satellite_mp_perf_3\\\")\\r\\n self.groupBox_33 = QtWidgets.QGroupBox(self.list_perf_calc_page_3)\\r\\n self.groupBox_33.setGeometry(QtCore.QRect(10, 458, 801, 221))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_33.setFont(font)\\r\\n self.groupBox_33.setAutoFillBackground(False)\\r\\n self.groupBox_33.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_33.setObjectName(\\\"groupBox_33\\\")\\r\\n self.label_254 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_254.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_254.setObjectName(\\\"label_254\\\")\\r\\n self.label_255 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_255.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_255.setObjectName(\\\"label_255\\\")\\r\\n self.label_256 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_256.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_256.setObjectName(\\\"label_256\\\")\\r\\n self.name_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.name_reception_mp_perf_3.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_mp_perf_3.setObjectName(\\\"name_reception_mp_perf_3\\\")\\r\\n self.lnb_gain_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.lnb_gain_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_mp_perf_3.setObjectName(\\\"lnb_gain_reception_mp_perf_3\\\")\\r\\n self.ant_size_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.ant_size_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_mp_perf_3.setObjectName(\\\"ant_size_reception_mp_perf_3\\\")\\r\\n self.save_reception_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_33)\\r\\n self.save_reception_mp_perf_3.setGeometry(QtCore.QRect(656, 186, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_mp_perf_3.setFont(font)\\r\\n self.save_reception_mp_perf_3.setObjectName(\\\"save_reception_mp_perf_3\\\")\\r\\n self.load_reception_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_33)\\r\\n self.load_reception_mp_perf_3.setGeometry(QtCore.QRect(656, 151, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_mp_perf_3.setFont(font)\\r\\n self.load_reception_mp_perf_3.setObjectName(\\\"load_reception_mp_perf_3\\\")\\r\\n self.label_257 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_257.setGeometry(QtCore.QRect(330, 78, 141, 16))\\r\\n self.label_257.setObjectName(\\\"label_257\\\")\\r\\n self.ant_eff_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.ant_eff_reception_mp_perf_3.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_mp_perf_3.setObjectName(\\\"ant_eff_reception_mp_perf_3\\\")\\r\\n self.label_258 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_258.setGeometry(QtCore.QRect(330, 118, 161, 16))\\r\\n self.label_258.setScaledContents(False)\\r\\n self.label_258.setObjectName(\\\"label_258\\\")\\r\\n self.lnb_temp_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.lnb_temp_reception_mp_perf_3.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_mp_perf_3.setObjectName(\\\"lnb_temp_reception_mp_perf_3\\\")\\r\\n self.label_259 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_259.setGeometry(QtCore.QRect(20, 132, 171, 51))\\r\\n self.label_259.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_259.setObjectName(\\\"label_259\\\")\\r\\n self.aditional_losses_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.aditional_losses_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 146, 101, 22))\\r\\n self.aditional_losses_reception_mp_perf_3.setObjectName(\\\"aditional_losses_reception_mp_perf_3\\\")\\r\\n self.label_260 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_260.setGeometry(QtCore.QRect(20, 170, 171, 51))\\r\\n self.label_260.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_260.setObjectName(\\\"label_260\\\")\\r\\n self.max_depoint_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.max_depoint_reception_mp_perf_3.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.max_depoint_reception_mp_perf_3.setObjectName(\\\"max_depoint_reception_mp_perf_3\\\")\\r\\n self.clear_reception_mp_perf_3 = QtWidgets.QPushButton(self.groupBox_33)\\r\\n self.clear_reception_mp_perf_3.setGeometry(QtCore.QRect(656, 115, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_mp_perf_3.setFont(font)\\r\\n self.clear_reception_mp_perf_3.setObjectName(\\\"clear_reception_mp_perf_3\\\")\\r\\n self.cable_loss_reception_mp_perf_3 = QtWidgets.QLineEdit(self.groupBox_33)\\r\\n self.cable_loss_reception_mp_perf_3.setGeometry(QtCore.QRect(510, 150, 101, 22))\\r\\n self.cable_loss_reception_mp_perf_3.setObjectName(\\\"cable_loss_reception_mp_perf_3\\\")\\r\\n self.label_261 = QtWidgets.QLabel(self.groupBox_33)\\r\\n self.label_261.setGeometry(QtCore.QRect(330, 133, 171, 51))\\r\\n self.label_261.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_261.setObjectName(\\\"label_261\\\")\\r\\n self.output_sp_perf_5 = QtWidgets.QTextEdit(self.list_perf_calc_page_3)\\r\\n self.output_sp_perf_5.setGeometry(QtCore.QRect(10, 684, 801, 141))\\r\\n self.output_sp_perf_5.setObjectName(\\\"output_sp_perf_5\\\")\\r\\n self.relaxation_mp_perf_3 = QtWidgets.QLineEdit(self.list_perf_calc_page_3)\\r\\n self.relaxation_mp_perf_3.setGeometry(QtCore.QRect(170, 832, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_mp_perf_3.setFont(font)\\r\\n self.relaxation_mp_perf_3.setToolTip(\\\"\\\")\\r\\n self.relaxation_mp_perf_3.setObjectName(\\\"relaxation_mp_perf_3\\\")\\r\\n self.calc_mp_perf_3 = QtWidgets.QPushButton(self.list_perf_calc_page_3)\\r\\n self.calc_mp_perf_3.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_mp_perf_3.setFont(font)\\r\\n self.calc_mp_perf_3.setObjectName(\\\"calc_mp_perf_3\\\")\\r\\n self.label_262 = QtWidgets.QLabel(self.list_perf_calc_page_3)\\r\\n self.label_262.setGeometry(QtCore.QRect(10, 833, 151, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_262.setFont(font)\\r\\n self.label_262.setObjectName(\\\"label_262\\\")\\r\\n self.label_263 = QtWidgets.QLabel(self.list_perf_calc_page_3)\\r\\n self.label_263.setGeometry(QtCore.QRect(420, 831, 61, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_263.setFont(font)\\r\\n self.label_263.setObjectName(\\\"label_263\\\")\\r\\n self.n_threads_3 = QtWidgets.QComboBox(self.list_perf_calc_page_3)\\r\\n self.n_threads_3.setGeometry(QtCore.QRect(490, 831, 73, 22))\\r\\n self.n_threads_3.setObjectName(\\\"n_threads_3\\\")\\r\\n self.path_mp_perf_3 = QtWidgets.QLineEdit(self.list_perf_calc_page_3)\\r\\n self.path_mp_perf_3.setGeometry(QtCore.QRect(55, 10, 631, 22))\\r\\n self.path_mp_perf_3.setObjectName(\\\"path_mp_perf_3\\\")\\r\\n self.label_264 = QtWidgets.QLabel(self.list_perf_calc_page_3)\\r\\n self.label_264.setGeometry(QtCore.QRect(240, 831, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_264.setFont(font)\\r\\n self.label_264.setObjectName(\\\"label_264\\\")\\r\\n self.margin_mp_perf_3 = QtWidgets.QLineEdit(self.list_perf_calc_page_3)\\r\\n self.margin_mp_perf_3.setGeometry(QtCore.QRect(340, 831, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_mp_perf_3.setFont(font)\\r\\n self.margin_mp_perf_3.setToolTip(\\\"\\\")\\r\\n self.margin_mp_perf_3.setObjectName(\\\"margin_mp_perf_3\\\")\\r\\n self.stackedWidget_4.addWidget(self.list_perf_calc_page_3)\\r\\n self.stackedWidget_3.addWidget(self.ant_size_single_point_calc_page_3)\\r\\n self.page_2 = QtWidgets.QWidget()\\r\\n self.page_2.setObjectName(\\\"page_2\\\")\\r\\n self.stackedWidget_3.addWidget(self.page_2)\\r\\n self.list_ant_size_calc_page_4 = QtWidgets.QWidget()\\r\\n self.list_ant_size_calc_page_4.setObjectName(\\\"list_ant_size_calc_page_4\\\")\\r\\n self.stackedWidget_3.addWidget(self.list_ant_size_calc_page_4)\\r\\n self.single_point_atm_calc_page_4 = QtWidgets.QWidget()\\r\\n self.single_point_atm_calc_page_4.setObjectName(\\\"single_point_atm_calc_page_4\\\")\\r\\n self.groupBox_34 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_4)\\r\\n self.groupBox_34.setGeometry(QtCore.QRect(20, 20, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_34.setFont(font)\\r\\n self.groupBox_34.setObjectName(\\\"groupBox_34\\\")\\r\\n self.lat_ground_station_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\\r\\n self.lat_ground_station_spatm_4.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.lat_ground_station_spatm_4.setObjectName(\\\"lat_ground_station_spatm_4\\\")\\r\\n self.long_ground_station_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\\r\\n self.long_ground_station_spatm_4.setGeometry(QtCore.QRect(500, 30, 101, 22))\\r\\n self.long_ground_station_spatm_4.setObjectName(\\\"long_ground_station_spatm_4\\\")\\r\\n self.label_265 = QtWidgets.QLabel(self.groupBox_34)\\r\\n self.label_265.setGeometry(QtCore.QRect(20, 23, 151, 31))\\r\\n self.label_265.setObjectName(\\\"label_265\\\")\\r\\n self.label_266 = QtWidgets.QLabel(self.groupBox_34)\\r\\n self.label_266.setGeometry(QtCore.QRect(319, 28, 161, 21))\\r\\n self.label_266.setObjectName(\\\"label_266\\\")\\r\\n self.label_267 = QtWidgets.QLabel(self.groupBox_34)\\r\\n self.label_267.setGeometry(QtCore.QRect(20, 60, 161, 21))\\r\\n self.label_267.setObjectName(\\\"label_267\\\")\\r\\n self.ant_size_reception_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\\r\\n self.ant_size_reception_spatm_4.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.ant_size_reception_spatm_4.setObjectName(\\\"ant_size_reception_spatm_4\\\")\\r\\n self.ant_eff_reception_spatm_4 = QtWidgets.QLineEdit(self.groupBox_34)\\r\\n self.ant_eff_reception_spatm_4.setGeometry(QtCore.QRect(500, 60, 101, 22))\\r\\n self.ant_eff_reception_spatm_4.setObjectName(\\\"ant_eff_reception_spatm_4\\\")\\r\\n self.label_268 = QtWidgets.QLabel(self.groupBox_34)\\r\\n self.label_268.setGeometry(QtCore.QRect(320, 60, 141, 16))\\r\\n self.label_268.setObjectName(\\\"label_268\\\")\\r\\n self.clear_reception_rcp_8 = QtWidgets.QPushButton(self.groupBox_34)\\r\\n self.clear_reception_rcp_8.setGeometry(QtCore.QRect(660, 30, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_rcp_8.setFont(font)\\r\\n self.clear_reception_rcp_8.setObjectName(\\\"clear_reception_rcp_8\\\")\\r\\n self.load_reception_rcp_14 = QtWidgets.QPushButton(self.groupBox_34)\\r\\n self.load_reception_rcp_14.setGeometry(QtCore.QRect(15, 91, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_14.setFont(font)\\r\\n self.load_reception_rcp_14.setObjectName(\\\"load_reception_rcp_14\\\")\\r\\n self.load_reception_rcp_15 = QtWidgets.QPushButton(self.groupBox_34)\\r\\n self.load_reception_rcp_15.setGeometry(QtCore.QRect(230, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_15.setFont(font)\\r\\n self.load_reception_rcp_15.setObjectName(\\\"load_reception_rcp_15\\\")\\r\\n self.calc_spatm_4 = QtWidgets.QPushButton(self.single_point_atm_calc_page_4)\\r\\n self.calc_spatm_4.setGeometry(QtCore.QRect(666, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_spatm_4.setFont(font)\\r\\n self.calc_spatm_4.setObjectName(\\\"calc_spatm_4\\\")\\r\\n self.textEdit_5 = QtWidgets.QTextEdit(self.single_point_atm_calc_page_4)\\r\\n self.textEdit_5.setGeometry(QtCore.QRect(6, 650, 801, 171))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.textEdit_5.setFont(font)\\r\\n self.textEdit_5.setObjectName(\\\"textEdit_5\\\")\\r\\n self.groupBox_35 = QtWidgets.QGroupBox(self.single_point_atm_calc_page_4)\\r\\n self.groupBox_35.setGeometry(QtCore.QRect(20, 150, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_35.setFont(font)\\r\\n self.groupBox_35.setObjectName(\\\"groupBox_35\\\")\\r\\n self.label_269 = QtWidgets.QLabel(self.groupBox_35)\\r\\n self.label_269.setGeometry(QtCore.QRect(20, 60, 131, 16))\\r\\n self.label_269.setObjectName(\\\"label_269\\\")\\r\\n self.label_270 = QtWidgets.QLabel(self.groupBox_35)\\r\\n self.label_270.setGeometry(QtCore.QRect(20, 30, 161, 21))\\r\\n self.label_270.setObjectName(\\\"label_270\\\")\\r\\n self.long_sat_spatm_4 = QtWidgets.QLineEdit(self.groupBox_35)\\r\\n self.long_sat_spatm_4.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.long_sat_spatm_4.setObjectName(\\\"long_sat_spatm_4\\\")\\r\\n self.freq_sat_spatm_4 = QtWidgets.QLineEdit(self.groupBox_35)\\r\\n self.freq_sat_spatm_4.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.freq_sat_spatm_4.setObjectName(\\\"freq_sat_spatm_4\\\")\\r\\n self.default_sat_sp_perf_7 = QtWidgets.QComboBox(self.groupBox_35)\\r\\n self.default_sat_sp_perf_7.setGeometry(QtCore.QRect(634, 44, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_perf_7.setFont(font)\\r\\n self.default_sat_sp_perf_7.setObjectName(\\\"default_sat_sp_perf_7\\\")\\r\\n self.label_271 = QtWidgets.QLabel(self.groupBox_35)\\r\\n self.label_271.setGeometry(QtCore.QRect(636, 14, 131, 16))\\r\\n self.label_271.setObjectName(\\\"label_271\\\")\\r\\n self.pol_sat_8 = QtWidgets.QComboBox(self.groupBox_35)\\r\\n self.pol_sat_8.setGeometry(QtCore.QRect(450, 30, 101, 22))\\r\\n self.pol_sat_8.setObjectName(\\\"pol_sat_8\\\")\\r\\n self.pol_sat_8.addItem(\\\"\\\")\\r\\n self.pol_sat_8.addItem(\\\"\\\")\\r\\n self.pol_sat_8.addItem(\\\"\\\")\\r\\n self.label_272 = QtWidgets.QLabel(self.groupBox_35)\\r\\n self.label_272.setGeometry(QtCore.QRect(350, 30, 91, 20))\\r\\n self.label_272.setObjectName(\\\"label_272\\\")\\r\\n self.load_reception_rcp_16 = QtWidgets.QPushButton(self.groupBox_35)\\r\\n self.load_reception_rcp_16.setGeometry(QtCore.QRect(10, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_rcp_16.setFont(font)\\r\\n self.load_reception_rcp_16.setObjectName(\\\"load_reception_rcp_16\\\")\\r\\n self.p_year_spatm_4 = QtWidgets.QLineEdit(self.single_point_atm_calc_page_4)\\r\\n self.p_year_spatm_4.setGeometry(QtCore.QRect(550, 834, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.p_year_spatm_4.setFont(font)\\r\\n self.p_year_spatm_4.setToolTip(\\\"\\\")\\r\\n self.p_year_spatm_4.setObjectName(\\\"p_year_spatm_4\\\")\\r\\n self.label_273 = QtWidgets.QLabel(self.single_point_atm_calc_page_4)\\r\\n self.label_273.setGeometry(QtCore.QRect(340, 834, 201, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_273.setFont(font)\\r\\n self.label_273.setObjectName(\\\"label_273\\\")\\r\\n self.label_274 = QtWidgets.QLabel(self.single_point_atm_calc_page_4)\\r\\n self.label_274.setGeometry(QtCore.QRect(10, 837, 71, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_274.setFont(font)\\r\\n self.label_274.setObjectName(\\\"label_274\\\")\\r\\n self.method_spatm_4 = QtWidgets.QComboBox(self.single_point_atm_calc_page_4)\\r\\n self.method_spatm_4.setGeometry(QtCore.QRect(84, 835, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.method_spatm_4.setFont(font)\\r\\n self.method_spatm_4.setObjectName(\\\"method_spatm_4\\\")\\r\\n self.method_spatm_4.addItem(\\\"\\\")\\r\\n self.method_spatm_4.addItem(\\\"\\\")\\r\\n self.stackedWidget_3.addWidget(self.single_point_atm_calc_page_4)\\r\\n self.single_point_perf_calc_page_4 = QtWidgets.QWidget()\\r\\n self.single_point_perf_calc_page_4.setObjectName(\\\"single_point_perf_calc_page_4\\\")\\r\\n self.groupBox_36 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_4)\\r\\n self.groupBox_36.setGeometry(QtCore.QRect(10, 10, 801, 121))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_36.setFont(font)\\r\\n self.groupBox_36.setAutoFillBackground(False)\\r\\n self.groupBox_36.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_36.setObjectName(\\\"groupBox_36\\\")\\r\\n self.label_275 = QtWidgets.QLabel(self.groupBox_36)\\r\\n self.label_275.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_275.setObjectName(\\\"label_275\\\")\\r\\n self.label_276 = QtWidgets.QLabel(self.groupBox_36)\\r\\n self.label_276.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_276.setObjectName(\\\"label_276\\\")\\r\\n self.label_277 = QtWidgets.QLabel(self.groupBox_36)\\r\\n self.label_277.setGeometry(QtCore.QRect(330, 78, 161, 21))\\r\\n self.label_277.setObjectName(\\\"label_277\\\")\\r\\n self.name_ground_station_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_36)\\r\\n self.name_ground_station_sp_perf_4.setGeometry(QtCore.QRect(100, 36, 511, 22))\\r\\n self.name_ground_station_sp_perf_4.setObjectName(\\\"name_ground_station_sp_perf_4\\\")\\r\\n self.long_ground_station_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_36)\\r\\n self.long_ground_station_sp_perf_4.setGeometry(QtCore.QRect(510, 80, 101, 22))\\r\\n self.long_ground_station_sp_perf_4.setObjectName(\\\"long_ground_station_sp_perf_4\\\")\\r\\n self.lat_ground_station_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_36)\\r\\n self.lat_ground_station_sp_perf_4.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_sp_perf_4.setObjectName(\\\"lat_ground_station_sp_perf_4\\\")\\r\\n self.save_ground_station_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_36)\\r\\n self.save_ground_station_sp_perf_4.setGeometry(QtCore.QRect(652, 80, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_sp_perf_4.setFont(font)\\r\\n self.save_ground_station_sp_perf_4.setObjectName(\\\"save_ground_station_sp_perf_4\\\")\\r\\n self.load_ground_station_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_36)\\r\\n self.load_ground_station_sp_perf_4.setGeometry(QtCore.QRect(652, 48, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_sp_perf_4.setFont(font)\\r\\n self.load_ground_station_sp_perf_4.setObjectName(\\\"load_ground_station_sp_perf_4\\\")\\r\\n self.clear_ground_station_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_36)\\r\\n self.clear_ground_station_sp_perf_4.setGeometry(QtCore.QRect(652, 16, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_sp_perf_4.setFont(font)\\r\\n self.clear_ground_station_sp_perf_4.setObjectName(\\\"clear_ground_station_sp_perf_4\\\")\\r\\n self.groupBox_37 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_4)\\r\\n self.groupBox_37.setGeometry(QtCore.QRect(10, 129, 801, 271))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_37.setFont(font)\\r\\n self.groupBox_37.setAutoFillBackground(False)\\r\\n self.groupBox_37.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_37.setObjectName(\\\"groupBox_37\\\")\\r\\n self.label_278 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_278.setGeometry(QtCore.QRect(20, 29, 55, 16))\\r\\n self.label_278.setObjectName(\\\"label_278\\\")\\r\\n self.label_279 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_279.setGeometry(QtCore.QRect(20, 71, 161, 21))\\r\\n self.label_279.setObjectName(\\\"label_279\\\")\\r\\n self.name_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.name_sat_sp_perf_4.setGeometry(QtCore.QRect(100, 29, 511, 22))\\r\\n self.name_sat_sp_perf_4.setObjectName(\\\"name_sat_sp_perf_4\\\")\\r\\n self.long_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.long_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 71, 101, 22))\\r\\n self.long_sat_sp_perf_4.setObjectName(\\\"long_sat_sp_perf_4\\\")\\r\\n self.save_sat_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_37)\\r\\n self.save_sat_sp_perf_4.setGeometry(QtCore.QRect(653, 231, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_sp_perf_4.setFont(font)\\r\\n self.save_sat_sp_perf_4.setObjectName(\\\"save_sat_sp_perf_4\\\")\\r\\n self.load_sat_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_37)\\r\\n self.load_sat_sp_perf_4.setGeometry(QtCore.QRect(653, 199, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_sp_perf_4.setFont(font)\\r\\n self.load_sat_sp_perf_4.setObjectName(\\\"load_sat_sp_perf_4\\\")\\r\\n self.default_sat_sp_perf_8 = QtWidgets.QComboBox(self.groupBox_37)\\r\\n self.default_sat_sp_perf_8.setGeometry(QtCore.QRect(650, 61, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_perf_8.setFont(font)\\r\\n self.default_sat_sp_perf_8.setObjectName(\\\"default_sat_sp_perf_8\\\")\\r\\n self.label_280 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_280.setGeometry(QtCore.QRect(648, 31, 131, 16))\\r\\n self.label_280.setObjectName(\\\"label_280\\\")\\r\\n self.label_281 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_281.setGeometry(QtCore.QRect(330, 69, 111, 16))\\r\\n self.label_281.setObjectName(\\\"label_281\\\")\\r\\n self.height_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.height_sat_sp_perf_4.setGeometry(QtCore.QRect(510, 69, 101, 22))\\r\\n self.height_sat_sp_perf_4.setObjectName(\\\"height_sat_sp_perf_4\\\")\\r\\n self.label_282 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_282.setGeometry(QtCore.QRect(330, 110, 121, 16))\\r\\n self.label_282.setObjectName(\\\"label_282\\\")\\r\\n self.eirp_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.eirp_sat_sp_perf_4.setGeometry(QtCore.QRect(510, 106, 101, 22))\\r\\n self.eirp_sat_sp_perf_4.setObjectName(\\\"eirp_sat_sp_perf_4\\\")\\r\\n self.label_283 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_283.setGeometry(QtCore.QRect(20, 139, 171, 51))\\r\\n self.label_283.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_283.setObjectName(\\\"label_283\\\")\\r\\n self.max_bw_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.max_bw_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 149, 101, 22))\\r\\n self.max_bw_sat_sp_perf_4.setObjectName(\\\"max_bw_sat_sp_perf_4\\\")\\r\\n self.label_284 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_284.setGeometry(QtCore.QRect(330, 134, 171, 51))\\r\\n self.label_284.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_284.setObjectName(\\\"label_284\\\")\\r\\n self.bw_util_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.bw_util_sat_sp_perf_4.setGeometry(QtCore.QRect(510, 147, 101, 22))\\r\\n self.bw_util_sat_sp_perf_4.setObjectName(\\\"bw_util_sat_sp_perf_4\\\")\\r\\n self.label_285 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_285.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_285.setObjectName(\\\"label_285\\\")\\r\\n self.rolloff_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.rolloff_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.rolloff_sat_sp_perf_4.setObjectName(\\\"rolloff_sat_sp_perf_4\\\")\\r\\n self.label_286 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_286.setGeometry(QtCore.QRect(330, 192, 91, 16))\\r\\n self.label_286.setObjectName(\\\"label_286\\\")\\r\\n self.modcod_sat_sp_perf_4 = QtWidgets.QComboBox(self.groupBox_37)\\r\\n self.modcod_sat_sp_perf_4.setGeometry(QtCore.QRect(450, 190, 161, 22))\\r\\n self.modcod_sat_sp_perf_4.setObjectName(\\\"modcod_sat_sp_perf_4\\\")\\r\\n self.modcod_sat_sp_perf_4.addItem(\\\"\\\")\\r\\n self.modcod_sat_sp_perf_4.addItem(\\\"\\\")\\r\\n self.modcod_sat_sp_perf_4.addItem(\\\"\\\")\\r\\n self.label_287 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_287.setGeometry(QtCore.QRect(20, 111, 131, 20))\\r\\n self.label_287.setObjectName(\\\"label_287\\\")\\r\\n self.freq_sat_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_37)\\r\\n self.freq_sat_sp_perf_4.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.freq_sat_sp_perf_4.setObjectName(\\\"freq_sat_sp_perf_4\\\")\\r\\n self.label_288 = QtWidgets.QLabel(self.groupBox_37)\\r\\n self.label_288.setGeometry(QtCore.QRect(665, 97, 91, 20))\\r\\n self.label_288.setObjectName(\\\"label_288\\\")\\r\\n self.pol_sat_sp_perf_4 = QtWidgets.QComboBox(self.groupBox_37)\\r\\n self.pol_sat_sp_perf_4.setGeometry(QtCore.QRect(660, 121, 101, 22))\\r\\n self.pol_sat_sp_perf_4.setObjectName(\\\"pol_sat_sp_perf_4\\\")\\r\\n self.pol_sat_sp_perf_4.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_perf_4.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_perf_4.addItem(\\\"\\\")\\r\\n self.clear_sat_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_37)\\r\\n self.clear_sat_sp_perf_4.setGeometry(QtCore.QRect(653, 169, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_sp_perf_4.setFont(font)\\r\\n self.clear_sat_sp_perf_4.setObjectName(\\\"clear_sat_sp_perf_4\\\")\\r\\n self.groupBox_38 = QtWidgets.QGroupBox(self.single_point_perf_calc_page_4)\\r\\n self.groupBox_38.setGeometry(QtCore.QRect(10, 400, 801, 231))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_38.setFont(font)\\r\\n self.groupBox_38.setAutoFillBackground(False)\\r\\n self.groupBox_38.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_38.setObjectName(\\\"groupBox_38\\\")\\r\\n self.label_289 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_289.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_289.setObjectName(\\\"label_289\\\")\\r\\n self.label_290 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_290.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_290.setObjectName(\\\"label_290\\\")\\r\\n self.label_291 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_291.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_291.setObjectName(\\\"label_291\\\")\\r\\n self.name_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.name_reception_sp_perf_4.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_sp_perf_4.setObjectName(\\\"name_reception_sp_perf_4\\\")\\r\\n self.lnb_gain_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.lnb_gain_reception_sp_perf_4.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_sp_perf_4.setObjectName(\\\"lnb_gain_reception_sp_perf_4\\\")\\r\\n self.ant_size_reception_sp_perf_2 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.ant_size_reception_sp_perf_2.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_sp_perf_2.setObjectName(\\\"ant_size_reception_sp_perf_2\\\")\\r\\n self.save_reception_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_38)\\r\\n self.save_reception_sp_perf_4.setGeometry(QtCore.QRect(654, 189, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_sp_perf_4.setFont(font)\\r\\n self.save_reception_sp_perf_4.setObjectName(\\\"save_reception_sp_perf_4\\\")\\r\\n self.load_reception_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_38)\\r\\n self.load_reception_sp_perf_4.setGeometry(QtCore.QRect(654, 155, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_sp_perf_4.setFont(font)\\r\\n self.load_reception_sp_perf_4.setObjectName(\\\"load_reception_sp_perf_4\\\")\\r\\n self.label_292 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_292.setGeometry(QtCore.QRect(330, 78, 141, 16))\\r\\n self.label_292.setObjectName(\\\"label_292\\\")\\r\\n self.ant_eff_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.ant_eff_reception_sp_perf_4.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_sp_perf_4.setObjectName(\\\"ant_eff_reception_sp_perf_4\\\")\\r\\n self.label_293 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_293.setGeometry(QtCore.QRect(330, 118, 161, 16))\\r\\n self.label_293.setObjectName(\\\"label_293\\\")\\r\\n self.lnb_temp_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.lnb_temp_reception_sp_perf_4.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_sp_perf_4.setObjectName(\\\"lnb_temp_reception_sp_perf_4\\\")\\r\\n self.label_294 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_294.setGeometry(QtCore.QRect(17, 139, 171, 51))\\r\\n self.label_294.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_294.setObjectName(\\\"label_294\\\")\\r\\n self.aditional_losses_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.aditional_losses_reception_sp_perf_4.setGeometry(QtCore.QRect(200, 153, 101, 22))\\r\\n self.aditional_losses_reception_sp_perf_4.setObjectName(\\\"aditional_losses_reception_sp_perf_4\\\")\\r\\n self.label_295 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_295.setGeometry(QtCore.QRect(19, 179, 171, 51))\\r\\n self.label_295.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_295.setObjectName(\\\"label_295\\\")\\r\\n self.max_depoint_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.max_depoint_reception_sp_perf_4.setGeometry(QtCore.QRect(200, 192, 101, 22))\\r\\n self.max_depoint_reception_sp_perf_4.setObjectName(\\\"max_depoint_reception_sp_perf_4\\\")\\r\\n self.clear_reception_sp_perf_4 = QtWidgets.QPushButton(self.groupBox_38)\\r\\n self.clear_reception_sp_perf_4.setGeometry(QtCore.QRect(654, 123, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_sp_perf_4.setFont(font)\\r\\n self.clear_reception_sp_perf_4.setObjectName(\\\"clear_reception_sp_perf_4\\\")\\r\\n self.cable_loss_reception_sp_perf_4 = QtWidgets.QLineEdit(self.groupBox_38)\\r\\n self.cable_loss_reception_sp_perf_4.setGeometry(QtCore.QRect(509, 154, 101, 22))\\r\\n self.cable_loss_reception_sp_perf_4.setObjectName(\\\"cable_loss_reception_sp_perf_4\\\")\\r\\n self.label_296 = QtWidgets.QLabel(self.groupBox_38)\\r\\n self.label_296.setGeometry(QtCore.QRect(330, 140, 171, 51))\\r\\n self.label_296.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_296.setObjectName(\\\"label_296\\\")\\r\\n self.calc_sp_perf_4 = QtWidgets.QPushButton(self.single_point_perf_calc_page_4)\\r\\n self.calc_sp_perf_4.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_sp_perf_4.setFont(font)\\r\\n self.calc_sp_perf_4.setObjectName(\\\"calc_sp_perf_4\\\")\\r\\n self.output_sp_perf_3 = QtWidgets.QTextEdit(self.single_point_perf_calc_page_4)\\r\\n self.output_sp_perf_3.setGeometry(QtCore.QRect(10, 638, 801, 181))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.output_sp_perf_3.setFont(font)\\r\\n self.output_sp_perf_3.setObjectName(\\\"output_sp_perf_3\\\")\\r\\n self.label_297 = QtWidgets.QLabel(self.single_point_perf_calc_page_4)\\r\\n self.label_297.setGeometry(QtCore.QRect(10, 830, 151, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_297.setFont(font)\\r\\n self.label_297.setObjectName(\\\"label_297\\\")\\r\\n self.relaxation_sp_perf_4 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_4)\\r\\n self.relaxation_sp_perf_4.setGeometry(QtCore.QRect(170, 830, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_sp_perf_4.setFont(font)\\r\\n self.relaxation_sp_perf_4.setToolTip(\\\"\\\")\\r\\n self.relaxation_sp_perf_4.setObjectName(\\\"relaxation_sp_perf_4\\\")\\r\\n self.margin_sp_perf_4 = QtWidgets.QLineEdit(self.single_point_perf_calc_page_4)\\r\\n self.margin_sp_perf_4.setGeometry(QtCore.QRect(340, 830, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_sp_perf_4.setFont(font)\\r\\n self.margin_sp_perf_4.setToolTip(\\\"\\\")\\r\\n self.margin_sp_perf_4.setObjectName(\\\"margin_sp_perf_4\\\")\\r\\n self.label_298 = QtWidgets.QLabel(self.single_point_perf_calc_page_4)\\r\\n self.label_298.setGeometry(QtCore.QRect(240, 830, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_298.setFont(font)\\r\\n self.label_298.setObjectName(\\\"label_298\\\")\\r\\n self.stackedWidget_3.addWidget(self.single_point_perf_calc_page_4)\\r\\n self.list_perf_calc_page_4 = QtWidgets.QWidget()\\r\\n self.list_perf_calc_page_4.setObjectName(\\\"list_perf_calc_page_4\\\")\\r\\n self.browse_mp_ant_size = QtWidgets.QPushButton(self.list_perf_calc_page_4)\\r\\n self.browse_mp_ant_size.setGeometry(QtCore.QRect(700, 11, 93, 21))\\r\\n self.browse_mp_ant_size.setObjectName(\\\"browse_mp_ant_size\\\")\\r\\n self.label_299 = QtWidgets.QLabel(self.list_perf_calc_page_4)\\r\\n self.label_299.setGeometry(QtCore.QRect(6, 13, 55, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_299.setFont(font)\\r\\n self.label_299.setObjectName(\\\"label_299\\\")\\r\\n self.preview_mp_ant_size = QtWidgets.QTableWidget(self.list_perf_calc_page_4)\\r\\n self.preview_mp_ant_size.setGeometry(QtCore.QRect(10, 61, 801, 131))\\r\\n self.preview_mp_ant_size.setObjectName(\\\"preview_mp_ant_size\\\")\\r\\n self.preview_mp_ant_size.setColumnCount(0)\\r\\n self.preview_mp_ant_size.setRowCount(0)\\r\\n self.label_300 = QtWidgets.QLabel(self.list_perf_calc_page_4)\\r\\n self.label_300.setGeometry(QtCore.QRect(10, 41, 91, 16))\\r\\n self.label_300.setObjectName(\\\"label_300\\\")\\r\\n self.groupBox_39 = QtWidgets.QGroupBox(self.list_perf_calc_page_4)\\r\\n self.groupBox_39.setGeometry(QtCore.QRect(8, 199, 801, 261))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_39.setFont(font)\\r\\n self.groupBox_39.setAutoFillBackground(False)\\r\\n self.groupBox_39.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_39.setObjectName(\\\"groupBox_39\\\")\\r\\n self.label_301 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_301.setGeometry(QtCore.QRect(20, 27, 55, 16))\\r\\n self.label_301.setObjectName(\\\"label_301\\\")\\r\\n self.label_302 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_302.setGeometry(QtCore.QRect(20, 69, 161, 21))\\r\\n self.label_302.setObjectName(\\\"label_302\\\")\\r\\n self.name_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.name_sat_mp_ant_size.setGeometry(QtCore.QRect(100, 27, 511, 22))\\r\\n self.name_sat_mp_ant_size.setObjectName(\\\"name_sat_mp_ant_size\\\")\\r\\n self.long_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.long_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 69, 101, 22))\\r\\n self.long_sat_mp_ant_size.setObjectName(\\\"long_sat_mp_ant_size\\\")\\r\\n self.save_sat_mp_ant_size = QtWidgets.QPushButton(self.groupBox_39)\\r\\n self.save_sat_mp_ant_size.setGeometry(QtCore.QRect(659, 222, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_mp_ant_size.setFont(font)\\r\\n self.save_sat_mp_ant_size.setObjectName(\\\"save_sat_mp_ant_size\\\")\\r\\n self.load_sat_mp_ant_size = QtWidgets.QPushButton(self.groupBox_39)\\r\\n self.load_sat_mp_ant_size.setGeometry(QtCore.QRect(659, 190, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_mp_ant_size.setFont(font)\\r\\n self.load_sat_mp_ant_size.setObjectName(\\\"load_sat_mp_ant_size\\\")\\r\\n self.default_sat_mp_ant_size = QtWidgets.QComboBox(self.groupBox_39)\\r\\n self.default_sat_mp_ant_size.setGeometry(QtCore.QRect(650, 58, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_mp_ant_size.setFont(font)\\r\\n self.default_sat_mp_ant_size.setObjectName(\\\"default_sat_mp_ant_size\\\")\\r\\n self.label_303 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_303.setGeometry(QtCore.QRect(651, 29, 131, 16))\\r\\n self.label_303.setObjectName(\\\"label_303\\\")\\r\\n self.label_304 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_304.setGeometry(QtCore.QRect(330, 70, 111, 16))\\r\\n self.label_304.setObjectName(\\\"label_304\\\")\\r\\n self.height_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.height_sat_mp_ant_size.setGeometry(QtCore.QRect(510, 67, 101, 22))\\r\\n self.height_sat_mp_ant_size.setObjectName(\\\"height_sat_mp_ant_size\\\")\\r\\n self.label_305 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_305.setGeometry(QtCore.QRect(330, 108, 121, 16))\\r\\n self.label_305.setObjectName(\\\"label_305\\\")\\r\\n self.eirp_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.eirp_sat_mp_ant_size.setGeometry(QtCore.QRect(510, 104, 101, 22))\\r\\n self.eirp_sat_mp_ant_size.setObjectName(\\\"eirp_sat_mp_ant_size\\\")\\r\\n self.label_306 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_306.setGeometry(QtCore.QRect(20, 137, 171, 51))\\r\\n self.label_306.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_306.setObjectName(\\\"label_306\\\")\\r\\n self.max_bw_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.max_bw_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 147, 101, 22))\\r\\n self.max_bw_sat_mp_ant_size.setObjectName(\\\"max_bw_sat_mp_ant_size\\\")\\r\\n self.label_307 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_307.setGeometry(QtCore.QRect(330, 132, 171, 51))\\r\\n self.label_307.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_307.setObjectName(\\\"label_307\\\")\\r\\n self.bw_util_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.bw_util_sat_mp_ant_size.setGeometry(QtCore.QRect(510, 145, 101, 22))\\r\\n self.bw_util_sat_mp_ant_size.setObjectName(\\\"bw_util_sat_mp_ant_size\\\")\\r\\n self.label_308 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_308.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_308.setObjectName(\\\"label_308\\\")\\r\\n self.rolloff_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.rolloff_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 191, 101, 22))\\r\\n self.rolloff_sat_mp_ant_size.setObjectName(\\\"rolloff_sat_mp_ant_size\\\")\\r\\n self.label_309 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_309.setGeometry(QtCore.QRect(330, 191, 91, 16))\\r\\n self.label_309.setObjectName(\\\"label_309\\\")\\r\\n self.modcod_sat_mp_ant_size = QtWidgets.QComboBox(self.groupBox_39)\\r\\n self.modcod_sat_mp_ant_size.setGeometry(QtCore.QRect(450, 191, 161, 22))\\r\\n self.modcod_sat_mp_ant_size.setObjectName(\\\"modcod_sat_mp_ant_size\\\")\\r\\n self.label_310 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_310.setGeometry(QtCore.QRect(20, 109, 131, 20))\\r\\n self.label_310.setObjectName(\\\"label_310\\\")\\r\\n self.freq_sat_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_39)\\r\\n self.freq_sat_mp_ant_size.setGeometry(QtCore.QRect(200, 109, 101, 22))\\r\\n self.freq_sat_mp_ant_size.setObjectName(\\\"freq_sat_mp_ant_size\\\")\\r\\n self.label_311 = QtWidgets.QLabel(self.groupBox_39)\\r\\n self.label_311.setGeometry(QtCore.QRect(666, 89, 91, 20))\\r\\n self.label_311.setObjectName(\\\"label_311\\\")\\r\\n self.pol_sat_mp_ant_size = QtWidgets.QComboBox(self.groupBox_39)\\r\\n self.pol_sat_mp_ant_size.setGeometry(QtCore.QRect(663, 119, 101, 22))\\r\\n self.pol_sat_mp_ant_size.setObjectName(\\\"pol_sat_mp_ant_size\\\")\\r\\n self.pol_sat_mp_ant_size.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_ant_size.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_ant_size.addItem(\\\"\\\")\\r\\n self.clear_sat_mp_ant_size = QtWidgets.QPushButton(self.groupBox_39)\\r\\n self.clear_sat_mp_ant_size.setGeometry(QtCore.QRect(659, 156, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_mp_ant_size.setFont(font)\\r\\n self.clear_sat_mp_ant_size.setObjectName(\\\"clear_sat_mp_ant_size\\\")\\r\\n self.groupBox_40 = QtWidgets.QGroupBox(self.list_perf_calc_page_4)\\r\\n self.groupBox_40.setGeometry(QtCore.QRect(10, 458, 801, 181))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_40.setFont(font)\\r\\n self.groupBox_40.setAutoFillBackground(False)\\r\\n self.groupBox_40.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_40.setObjectName(\\\"groupBox_40\\\")\\r\\n self.label_312 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_312.setGeometry(QtCore.QRect(20, 29, 55, 16))\\r\\n self.label_312.setObjectName(\\\"label_312\\\")\\r\\n self.label_314 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_314.setGeometry(QtCore.QRect(20, 61, 161, 21))\\r\\n self.label_314.setObjectName(\\\"label_314\\\")\\r\\n self.name_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.name_reception_mp_ant_size.setGeometry(QtCore.QRect(100, 29, 511, 22))\\r\\n self.name_reception_mp_ant_size.setObjectName(\\\"name_reception_mp_ant_size\\\")\\r\\n self.lnb_gain_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.lnb_gain_reception_mp_ant_size.setGeometry(QtCore.QRect(200, 61, 101, 22))\\r\\n self.lnb_gain_reception_mp_ant_size.setObjectName(\\\"lnb_gain_reception_mp_ant_size\\\")\\r\\n self.save_reception_mp_ant_size = QtWidgets.QPushButton(self.groupBox_40)\\r\\n self.save_reception_mp_ant_size.setGeometry(QtCore.QRect(661, 131, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_mp_ant_size.setFont(font)\\r\\n self.save_reception_mp_ant_size.setObjectName(\\\"save_reception_mp_ant_size\\\")\\r\\n self.load_reception_mp_ant_size = QtWidgets.QPushButton(self.groupBox_40)\\r\\n self.load_reception_mp_ant_size.setGeometry(QtCore.QRect(661, 96, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_mp_ant_size.setFont(font)\\r\\n self.load_reception_mp_ant_size.setObjectName(\\\"load_reception_mp_ant_size\\\")\\r\\n self.label_315 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_315.setGeometry(QtCore.QRect(330, 138, 141, 16))\\r\\n self.label_315.setObjectName(\\\"label_315\\\")\\r\\n self.ant_eff_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.ant_eff_reception_mp_ant_size.setGeometry(QtCore.QRect(510, 136, 101, 22))\\r\\n self.ant_eff_reception_mp_ant_size.setObjectName(\\\"ant_eff_reception_mp_ant_size\\\")\\r\\n self.label_316 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_316.setGeometry(QtCore.QRect(330, 66, 161, 16))\\r\\n self.label_316.setScaledContents(False)\\r\\n self.label_316.setObjectName(\\\"label_316\\\")\\r\\n self.lnb_temp_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.lnb_temp_reception_mp_ant_size.setGeometry(QtCore.QRect(510, 63, 101, 22))\\r\\n self.lnb_temp_reception_mp_ant_size.setObjectName(\\\"lnb_temp_reception_mp_ant_size\\\")\\r\\n self.label_317 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_317.setGeometry(QtCore.QRect(20, 80, 171, 51))\\r\\n self.label_317.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_317.setObjectName(\\\"label_317\\\")\\r\\n self.aditional_losses_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.aditional_losses_reception_mp_ant_size.setGeometry(QtCore.QRect(200, 95, 101, 22))\\r\\n self.aditional_losses_reception_mp_ant_size.setObjectName(\\\"aditional_losses_reception_mp_ant_size\\\")\\r\\n self.label_318 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_318.setGeometry(QtCore.QRect(20, 118, 171, 51))\\r\\n self.label_318.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_318.setObjectName(\\\"label_318\\\")\\r\\n self.max_depoint_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.max_depoint_reception_mp_ant_size.setGeometry(QtCore.QRect(200, 138, 101, 22))\\r\\n self.max_depoint_reception_mp_ant_size.setObjectName(\\\"max_depoint_reception_mp_ant_size\\\")\\r\\n self.clear_reception_mp_ant_size = QtWidgets.QPushButton(self.groupBox_40)\\r\\n self.clear_reception_mp_ant_size.setGeometry(QtCore.QRect(661, 60, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_mp_ant_size.setFont(font)\\r\\n self.clear_reception_mp_ant_size.setObjectName(\\\"clear_reception_mp_ant_size\\\")\\r\\n self.cable_loss_reception_mp_ant_size = QtWidgets.QLineEdit(self.groupBox_40)\\r\\n self.cable_loss_reception_mp_ant_size.setGeometry(QtCore.QRect(510, 95, 101, 22))\\r\\n self.cable_loss_reception_mp_ant_size.setObjectName(\\\"cable_loss_reception_mp_ant_size\\\")\\r\\n self.label_319 = QtWidgets.QLabel(self.groupBox_40)\\r\\n self.label_319.setGeometry(QtCore.QRect(330, 81, 171, 51))\\r\\n self.label_319.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_319.setObjectName(\\\"label_319\\\")\\r\\n self.output_mp_ant_size = QtWidgets.QTextEdit(self.list_perf_calc_page_4)\\r\\n self.output_mp_ant_size.setGeometry(QtCore.QRect(10, 674, 801, 151))\\r\\n self.output_mp_ant_size.setObjectName(\\\"output_mp_ant_size\\\")\\r\\n self.relaxation_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\\r\\n self.relaxation_mp_ant_size.setGeometry(QtCore.QRect(177, 832, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_mp_ant_size.setFont(font)\\r\\n self.relaxation_mp_ant_size.setToolTip(\\\"\\\")\\r\\n self.relaxation_mp_ant_size.setObjectName(\\\"relaxation_mp_ant_size\\\")\\r\\n self.calc_mp_ant_size = QtWidgets.QPushButton(self.list_perf_calc_page_4)\\r\\n self.calc_mp_ant_size.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_mp_ant_size.setFont(font)\\r\\n self.calc_mp_ant_size.setObjectName(\\\"calc_mp_ant_size\\\")\\r\\n self.label_320 = QtWidgets.QLabel(self.list_perf_calc_page_4)\\r\\n self.label_320.setGeometry(QtCore.QRect(10, 833, 161, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_320.setFont(font)\\r\\n self.label_320.setObjectName(\\\"label_320\\\")\\r\\n self.label_321 = QtWidgets.QLabel(self.list_perf_calc_page_4)\\r\\n self.label_321.setGeometry(QtCore.QRect(420, 831, 61, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_321.setFont(font)\\r\\n self.label_321.setObjectName(\\\"label_321\\\")\\r\\n self.n_threads_mp_ant_size = QtWidgets.QComboBox(self.list_perf_calc_page_4)\\r\\n self.n_threads_mp_ant_size.setGeometry(QtCore.QRect(490, 831, 73, 22))\\r\\n self.n_threads_mp_ant_size.setObjectName(\\\"n_threads_mp_ant_size\\\")\\r\\n self.path_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\\r\\n self.path_mp_ant_size.setGeometry(QtCore.QRect(55, 10, 631, 22))\\r\\n self.path_mp_ant_size.setObjectName(\\\"path_mp_ant_size\\\")\\r\\n self.label_322 = QtWidgets.QLabel(self.list_perf_calc_page_4)\\r\\n self.label_322.setGeometry(QtCore.QRect(246, 832, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_322.setFont(font)\\r\\n self.label_322.setObjectName(\\\"label_322\\\")\\r\\n self.margin_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\\r\\n self.margin_mp_ant_size.setGeometry(QtCore.QRect(346, 832, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_mp_ant_size.setFont(font)\\r\\n self.margin_mp_ant_size.setToolTip(\\\"\\\")\\r\\n self.margin_mp_ant_size.setObjectName(\\\"margin_mp_ant_size\\\")\\r\\n self.label_324 = QtWidgets.QLabel(self.list_perf_calc_page_4)\\r\\n self.label_324.setGeometry(QtCore.QRect(15, 644, 141, 21))\\r\\n self.label_324.setObjectName(\\\"label_324\\\")\\r\\n self.availability_target_mp_ant_size = QtWidgets.QLineEdit(self.list_perf_calc_page_4)\\r\\n self.availability_target_mp_ant_size.setGeometry(QtCore.QRect(148, 643, 101, 22))\\r\\n self.availability_target_mp_ant_size.setObjectName(\\\"availability_target_mp_ant_size\\\")\\r\\n self.stackedWidget_3.addWidget(self.list_perf_calc_page_4)\\r\\n self.stackedWidget.addWidget(self.list_ant_size_calc)\\r\\n self.single_point_atm_calc_page = QtWidgets.QWidget()\\r\\n self.single_point_atm_calc_page.setObjectName(\\\"single_point_atm_calc_page\\\")\\r\\n self.groupBox_7 = QtWidgets.QGroupBox(self.single_point_atm_calc_page)\\r\\n self.groupBox_7.setGeometry(QtCore.QRect(20, 20, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_7.setFont(font)\\r\\n self.groupBox_7.setObjectName(\\\"groupBox_7\\\")\\r\\n self.lat_ground_station_spatm = QtWidgets.QLineEdit(self.groupBox_7)\\r\\n self.lat_ground_station_spatm.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.lat_ground_station_spatm.setObjectName(\\\"lat_ground_station_spatm\\\")\\r\\n self.long_ground_station_spatm = QtWidgets.QLineEdit(self.groupBox_7)\\r\\n self.long_ground_station_spatm.setGeometry(QtCore.QRect(500, 30, 101, 22))\\r\\n self.long_ground_station_spatm.setObjectName(\\\"long_ground_station_spatm\\\")\\r\\n self.label_51 = QtWidgets.QLabel(self.groupBox_7)\\r\\n self.label_51.setGeometry(QtCore.QRect(20, 23, 151, 31))\\r\\n self.label_51.setObjectName(\\\"label_51\\\")\\r\\n self.label_50 = QtWidgets.QLabel(self.groupBox_7)\\r\\n self.label_50.setGeometry(QtCore.QRect(319, 28, 161, 21))\\r\\n self.label_50.setObjectName(\\\"label_50\\\")\\r\\n self.label_53 = QtWidgets.QLabel(self.groupBox_7)\\r\\n self.label_53.setGeometry(QtCore.QRect(20, 60, 161, 21))\\r\\n self.label_53.setObjectName(\\\"label_53\\\")\\r\\n self.ant_size_reception_spatm = QtWidgets.QLineEdit(self.groupBox_7)\\r\\n self.ant_size_reception_spatm.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.ant_size_reception_spatm.setObjectName(\\\"ant_size_reception_spatm\\\")\\r\\n self.ant_eff_reception_spatm = QtWidgets.QLineEdit(self.groupBox_7)\\r\\n self.ant_eff_reception_spatm.setGeometry(QtCore.QRect(500, 60, 101, 22))\\r\\n self.ant_eff_reception_spatm.setObjectName(\\\"ant_eff_reception_spatm\\\")\\r\\n self.label_68 = QtWidgets.QLabel(self.groupBox_7)\\r\\n self.label_68.setGeometry(QtCore.QRect(320, 60, 141, 16))\\r\\n self.label_68.setObjectName(\\\"label_68\\\")\\r\\n self.clear_reception_spatm = QtWidgets.QPushButton(self.groupBox_7)\\r\\n self.clear_reception_spatm.setGeometry(QtCore.QRect(660, 30, 93, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_spatm.setFont(font)\\r\\n self.clear_reception_spatm.setObjectName(\\\"clear_reception_spatm\\\")\\r\\n self.load_ground_station_spatm = QtWidgets.QPushButton(self.groupBox_7)\\r\\n self.load_ground_station_spatm.setGeometry(QtCore.QRect(15, 91, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_spatm.setFont(font)\\r\\n self.load_ground_station_spatm.setObjectName(\\\"load_ground_station_spatm\\\")\\r\\n self.load_reception_spatm = QtWidgets.QPushButton(self.groupBox_7)\\r\\n self.load_reception_spatm.setGeometry(QtCore.QRect(230, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_spatm.setFont(font)\\r\\n self.load_reception_spatm.setObjectName(\\\"load_reception_spatm\\\")\\r\\n self.calc_spatm = QtWidgets.QPushButton(self.single_point_atm_calc_page)\\r\\n self.calc_spatm.setGeometry(QtCore.QRect(666, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_spatm.setFont(font)\\r\\n self.calc_spatm.setObjectName(\\\"calc_spatm\\\")\\r\\n self.output_spatm = QtWidgets.QTextEdit(self.single_point_atm_calc_page)\\r\\n self.output_spatm.setGeometry(QtCore.QRect(6, 650, 801, 171))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.output_spatm.setFont(font)\\r\\n self.output_spatm.setObjectName(\\\"output_spatm\\\")\\r\\n self.groupBox_8 = QtWidgets.QGroupBox(self.single_point_atm_calc_page)\\r\\n self.groupBox_8.setGeometry(QtCore.QRect(20, 150, 781, 131))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_8.setFont(font)\\r\\n self.groupBox_8.setObjectName(\\\"groupBox_8\\\")\\r\\n self.label_52 = QtWidgets.QLabel(self.groupBox_8)\\r\\n self.label_52.setGeometry(QtCore.QRect(20, 60, 131, 16))\\r\\n self.label_52.setObjectName(\\\"label_52\\\")\\r\\n self.label_57 = QtWidgets.QLabel(self.groupBox_8)\\r\\n self.label_57.setGeometry(QtCore.QRect(20, 30, 161, 21))\\r\\n self.label_57.setObjectName(\\\"label_57\\\")\\r\\n self.long_sat_spatm = QtWidgets.QLineEdit(self.groupBox_8)\\r\\n self.long_sat_spatm.setGeometry(QtCore.QRect(200, 30, 101, 22))\\r\\n self.long_sat_spatm.setObjectName(\\\"long_sat_spatm\\\")\\r\\n self.freq_sat_spatm = QtWidgets.QLineEdit(self.groupBox_8)\\r\\n self.freq_sat_spatm.setGeometry(QtCore.QRect(200, 60, 101, 22))\\r\\n self.freq_sat_spatm.setObjectName(\\\"freq_sat_spatm\\\")\\r\\n self.default_sat_spatm = QtWidgets.QComboBox(self.groupBox_8)\\r\\n self.default_sat_spatm.setGeometry(QtCore.QRect(634, 44, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_spatm.setFont(font)\\r\\n self.default_sat_spatm.setObjectName(\\\"default_sat_spatm\\\")\\r\\n self.label_63 = QtWidgets.QLabel(self.groupBox_8)\\r\\n self.label_63.setGeometry(QtCore.QRect(636, 14, 131, 16))\\r\\n self.label_63.setObjectName(\\\"label_63\\\")\\r\\n self.pol_sat_spatm = QtWidgets.QComboBox(self.groupBox_8)\\r\\n self.pol_sat_spatm.setGeometry(QtCore.QRect(450, 30, 101, 22))\\r\\n self.pol_sat_spatm.setObjectName(\\\"pol_sat_spatm\\\")\\r\\n self.pol_sat_spatm.addItem(\\\"\\\")\\r\\n self.pol_sat_spatm.addItem(\\\"\\\")\\r\\n self.pol_sat_spatm.addItem(\\\"\\\")\\r\\n self.label_8 = QtWidgets.QLabel(self.groupBox_8)\\r\\n self.label_8.setGeometry(QtCore.QRect(350, 30, 91, 20))\\r\\n self.label_8.setObjectName(\\\"label_8\\\")\\r\\n self.load_sat_spatm = QtWidgets.QPushButton(self.groupBox_8)\\r\\n self.load_sat_spatm.setGeometry(QtCore.QRect(10, 90, 201, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_spatm.setFont(font)\\r\\n self.load_sat_spatm.setObjectName(\\\"load_sat_spatm\\\")\\r\\n self.p_year_spatm = QtWidgets.QLineEdit(self.single_point_atm_calc_page)\\r\\n self.p_year_spatm.setGeometry(QtCore.QRect(550, 834, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.p_year_spatm.setFont(font)\\r\\n self.p_year_spatm.setToolTip(\\\"\\\")\\r\\n self.p_year_spatm.setObjectName(\\\"p_year_spatm\\\")\\r\\n self.label_58 = QtWidgets.QLabel(self.single_point_atm_calc_page)\\r\\n self.label_58.setGeometry(QtCore.QRect(340, 834, 201, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_58.setFont(font)\\r\\n self.label_58.setObjectName(\\\"label_58\\\")\\r\\n self.label_9 = QtWidgets.QLabel(self.single_point_atm_calc_page)\\r\\n self.label_9.setGeometry(QtCore.QRect(10, 837, 71, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_9.setFont(font)\\r\\n self.label_9.setObjectName(\\\"label_9\\\")\\r\\n self.method_spatm = QtWidgets.QComboBox(self.single_point_atm_calc_page)\\r\\n self.method_spatm.setGeometry(QtCore.QRect(84, 835, 101, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.method_spatm.setFont(font)\\r\\n self.method_spatm.setObjectName(\\\"method_spatm\\\")\\r\\n self.method_spatm.addItem(\\\"\\\")\\r\\n self.method_spatm.addItem(\\\"\\\")\\r\\n self.stackedWidget.addWidget(self.single_point_atm_calc_page)\\r\\n self.single_point_perf_calc_page = QtWidgets.QWidget()\\r\\n self.single_point_perf_calc_page.setObjectName(\\\"single_point_perf_calc_page\\\")\\r\\n self.groupBox_4 = QtWidgets.QGroupBox(self.single_point_perf_calc_page)\\r\\n self.groupBox_4.setGeometry(QtCore.QRect(10, 10, 801, 121))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_4.setFont(font)\\r\\n self.groupBox_4.setAutoFillBackground(False)\\r\\n self.groupBox_4.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_4.setObjectName(\\\"groupBox_4\\\")\\r\\n self.label_27 = QtWidgets.QLabel(self.groupBox_4)\\r\\n self.label_27.setGeometry(QtCore.QRect(20, 36, 55, 16))\\r\\n self.label_27.setObjectName(\\\"label_27\\\")\\r\\n self.label_28 = QtWidgets.QLabel(self.groupBox_4)\\r\\n self.label_28.setGeometry(QtCore.QRect(20, 66, 151, 31))\\r\\n self.label_28.setObjectName(\\\"label_28\\\")\\r\\n self.label_29 = QtWidgets.QLabel(self.groupBox_4)\\r\\n self.label_29.setGeometry(QtCore.QRect(330, 78, 161, 21))\\r\\n self.label_29.setObjectName(\\\"label_29\\\")\\r\\n self.name_ground_station_sp_perf = QtWidgets.QLineEdit(self.groupBox_4)\\r\\n self.name_ground_station_sp_perf.setGeometry(QtCore.QRect(100, 36, 511, 22))\\r\\n self.name_ground_station_sp_perf.setObjectName(\\\"name_ground_station_sp_perf\\\")\\r\\n self.long_ground_station_sp_perf = QtWidgets.QLineEdit(self.groupBox_4)\\r\\n self.long_ground_station_sp_perf.setGeometry(QtCore.QRect(510, 80, 101, 22))\\r\\n self.long_ground_station_sp_perf.setObjectName(\\\"long_ground_station_sp_perf\\\")\\r\\n self.lat_ground_station_sp_perf = QtWidgets.QLineEdit(self.groupBox_4)\\r\\n self.lat_ground_station_sp_perf.setGeometry(QtCore.QRect(200, 76, 101, 22))\\r\\n self.lat_ground_station_sp_perf.setObjectName(\\\"lat_ground_station_sp_perf\\\")\\r\\n self.save_ground_station_sp_perf = QtWidgets.QPushButton(self.groupBox_4)\\r\\n self.save_ground_station_sp_perf.setGeometry(QtCore.QRect(652, 80, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_ground_station_sp_perf.setFont(font)\\r\\n self.save_ground_station_sp_perf.setObjectName(\\\"save_ground_station_sp_perf\\\")\\r\\n self.load_ground_station_sp_perf = QtWidgets.QPushButton(self.groupBox_4)\\r\\n self.load_ground_station_sp_perf.setGeometry(QtCore.QRect(652, 48, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_ground_station_sp_perf.setFont(font)\\r\\n self.load_ground_station_sp_perf.setObjectName(\\\"load_ground_station_sp_perf\\\")\\r\\n self.clear_ground_station_sp_perf = QtWidgets.QPushButton(self.groupBox_4)\\r\\n self.clear_ground_station_sp_perf.setGeometry(QtCore.QRect(652, 16, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_ground_station_sp_perf.setFont(font)\\r\\n self.clear_ground_station_sp_perf.setObjectName(\\\"clear_ground_station_sp_perf\\\")\\r\\n self.groupBox_5 = QtWidgets.QGroupBox(self.single_point_perf_calc_page)\\r\\n self.groupBox_5.setGeometry(QtCore.QRect(10, 129, 801, 271))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_5.setFont(font)\\r\\n self.groupBox_5.setAutoFillBackground(False)\\r\\n self.groupBox_5.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_5.setObjectName(\\\"groupBox_5\\\")\\r\\n self.label_30 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_30.setGeometry(QtCore.QRect(20, 29, 55, 16))\\r\\n self.label_30.setObjectName(\\\"label_30\\\")\\r\\n self.label_32 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_32.setGeometry(QtCore.QRect(20, 71, 161, 21))\\r\\n self.label_32.setObjectName(\\\"label_32\\\")\\r\\n self.name_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.name_sat_sp_perf.setGeometry(QtCore.QRect(100, 29, 511, 22))\\r\\n self.name_sat_sp_perf.setObjectName(\\\"name_sat_sp_perf\\\")\\r\\n self.long_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.long_sat_sp_perf.setGeometry(QtCore.QRect(200, 71, 101, 22))\\r\\n self.long_sat_sp_perf.setObjectName(\\\"long_sat_sp_perf\\\")\\r\\n self.save_sat_sp_perf = QtWidgets.QPushButton(self.groupBox_5)\\r\\n self.save_sat_sp_perf.setGeometry(QtCore.QRect(653, 231, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_sp_perf.setFont(font)\\r\\n self.save_sat_sp_perf.setObjectName(\\\"save_sat_sp_perf\\\")\\r\\n self.load_sat_sp_perf = QtWidgets.QPushButton(self.groupBox_5)\\r\\n self.load_sat_sp_perf.setGeometry(QtCore.QRect(653, 199, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_sp_perf.setFont(font)\\r\\n self.load_sat_sp_perf.setObjectName(\\\"load_sat_sp_perf\\\")\\r\\n self.default_sat_sp_perf = QtWidgets.QComboBox(self.groupBox_5)\\r\\n self.default_sat_sp_perf.setGeometry(QtCore.QRect(650, 61, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_sp_perf.setFont(font)\\r\\n self.default_sat_sp_perf.setObjectName(\\\"default_sat_sp_perf\\\")\\r\\n self.label_33 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_33.setGeometry(QtCore.QRect(648, 31, 131, 16))\\r\\n self.label_33.setObjectName(\\\"label_33\\\")\\r\\n self.label_34 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_34.setGeometry(QtCore.QRect(330, 69, 111, 16))\\r\\n self.label_34.setObjectName(\\\"label_34\\\")\\r\\n self.height_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.height_sat_sp_perf.setGeometry(QtCore.QRect(510, 69, 101, 22))\\r\\n self.height_sat_sp_perf.setObjectName(\\\"height_sat_sp_perf\\\")\\r\\n self.label_35 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_35.setGeometry(QtCore.QRect(330, 110, 121, 16))\\r\\n self.label_35.setObjectName(\\\"label_35\\\")\\r\\n self.eirp_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.eirp_sat_sp_perf.setGeometry(QtCore.QRect(510, 106, 101, 22))\\r\\n self.eirp_sat_sp_perf.setObjectName(\\\"eirp_sat_sp_perf\\\")\\r\\n self.label_36 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_36.setGeometry(QtCore.QRect(20, 139, 171, 51))\\r\\n self.label_36.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_36.setObjectName(\\\"label_36\\\")\\r\\n self.max_bw_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.max_bw_sat_sp_perf.setGeometry(QtCore.QRect(200, 149, 101, 22))\\r\\n self.max_bw_sat_sp_perf.setObjectName(\\\"max_bw_sat_sp_perf\\\")\\r\\n self.label_37 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_37.setGeometry(QtCore.QRect(330, 134, 171, 51))\\r\\n self.label_37.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_37.setObjectName(\\\"label_37\\\")\\r\\n self.bw_util_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.bw_util_sat_sp_perf.setGeometry(QtCore.QRect(510, 147, 101, 22))\\r\\n self.bw_util_sat_sp_perf.setObjectName(\\\"bw_util_sat_sp_perf\\\")\\r\\n self.label_40 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_40.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_40.setObjectName(\\\"label_40\\\")\\r\\n self.rolloff_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.rolloff_sat_sp_perf.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.rolloff_sat_sp_perf.setObjectName(\\\"rolloff_sat_sp_perf\\\")\\r\\n self.label_41 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_41.setGeometry(QtCore.QRect(330, 192, 91, 16))\\r\\n self.label_41.setObjectName(\\\"label_41\\\")\\r\\n self.modcod_sat_sp_perf = QtWidgets.QComboBox(self.groupBox_5)\\r\\n self.modcod_sat_sp_perf.setGeometry(QtCore.QRect(450, 190, 161, 22))\\r\\n self.modcod_sat_sp_perf.setObjectName(\\\"modcod_sat_sp_perf\\\")\\r\\n self.label_42 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_42.setGeometry(QtCore.QRect(20, 111, 131, 20))\\r\\n self.label_42.setObjectName(\\\"label_42\\\")\\r\\n self.freq_sat_sp_perf = QtWidgets.QLineEdit(self.groupBox_5)\\r\\n self.freq_sat_sp_perf.setGeometry(QtCore.QRect(200, 111, 101, 22))\\r\\n self.freq_sat_sp_perf.setObjectName(\\\"freq_sat_sp_perf\\\")\\r\\n self.label_6 = QtWidgets.QLabel(self.groupBox_5)\\r\\n self.label_6.setGeometry(QtCore.QRect(665, 97, 91, 20))\\r\\n self.label_6.setObjectName(\\\"label_6\\\")\\r\\n self.pol_sat_sp_perf = QtWidgets.QComboBox(self.groupBox_5)\\r\\n self.pol_sat_sp_perf.setGeometry(QtCore.QRect(660, 121, 101, 22))\\r\\n self.pol_sat_sp_perf.setObjectName(\\\"pol_sat_sp_perf\\\")\\r\\n self.pol_sat_sp_perf.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_perf.addItem(\\\"\\\")\\r\\n self.pol_sat_sp_perf.addItem(\\\"\\\")\\r\\n self.clear_sat_sp_perf = QtWidgets.QPushButton(self.groupBox_5)\\r\\n self.clear_sat_sp_perf.setGeometry(QtCore.QRect(653, 169, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_sat_sp_perf.setFont(font)\\r\\n self.clear_sat_sp_perf.setObjectName(\\\"clear_sat_sp_perf\\\")\\r\\n self.groupBox_6 = QtWidgets.QGroupBox(self.single_point_perf_calc_page)\\r\\n self.groupBox_6.setGeometry(QtCore.QRect(10, 400, 801, 231))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_6.setFont(font)\\r\\n self.groupBox_6.setAutoFillBackground(False)\\r\\n self.groupBox_6.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_6.setObjectName(\\\"groupBox_6\\\")\\r\\n self.label_43 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_43.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_43.setObjectName(\\\"label_43\\\")\\r\\n self.label_44 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_44.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_44.setObjectName(\\\"label_44\\\")\\r\\n self.label_45 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_45.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_45.setObjectName(\\\"label_45\\\")\\r\\n self.name_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.name_reception_sp_perf.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_sp_perf.setObjectName(\\\"name_reception_sp_perf\\\")\\r\\n self.lnb_gain_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.lnb_gain_reception_sp_perf.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_sp_perf.setObjectName(\\\"lnb_gain_reception_sp_perf\\\")\\r\\n self.ant_size_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.ant_size_reception_sp_perf.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_sp_perf.setObjectName(\\\"ant_size_reception_sp_perf\\\")\\r\\n self.save_reception_sp_perf = QtWidgets.QPushButton(self.groupBox_6)\\r\\n self.save_reception_sp_perf.setGeometry(QtCore.QRect(654, 189, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_sp_perf.setFont(font)\\r\\n self.save_reception_sp_perf.setObjectName(\\\"save_reception_sp_perf\\\")\\r\\n self.load_reception_sp_perf = QtWidgets.QPushButton(self.groupBox_6)\\r\\n self.load_reception_sp_perf.setGeometry(QtCore.QRect(654, 155, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_sp_perf.setFont(font)\\r\\n self.load_reception_sp_perf.setObjectName(\\\"load_reception_sp_perf\\\")\\r\\n self.label_46 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_46.setGeometry(QtCore.QRect(330, 78, 141, 16))\\r\\n self.label_46.setObjectName(\\\"label_46\\\")\\r\\n self.ant_eff_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.ant_eff_reception_sp_perf.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_sp_perf.setObjectName(\\\"ant_eff_reception_sp_perf\\\")\\r\\n self.label_47 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_47.setGeometry(QtCore.QRect(330, 118, 161, 16))\\r\\n self.label_47.setObjectName(\\\"label_47\\\")\\r\\n self.lnb_temp_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.lnb_temp_reception_sp_perf.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_sp_perf.setObjectName(\\\"lnb_temp_reception_sp_perf\\\")\\r\\n self.label_48 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_48.setGeometry(QtCore.QRect(17, 139, 171, 51))\\r\\n self.label_48.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_48.setObjectName(\\\"label_48\\\")\\r\\n self.aditional_losses_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.aditional_losses_reception_sp_perf.setGeometry(QtCore.QRect(200, 153, 101, 22))\\r\\n self.aditional_losses_reception_sp_perf.setObjectName(\\\"aditional_losses_reception_sp_perf\\\")\\r\\n self.label_49 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_49.setGeometry(QtCore.QRect(19, 179, 171, 51))\\r\\n self.label_49.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_49.setObjectName(\\\"label_49\\\")\\r\\n self.max_depoint_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.max_depoint_reception_sp_perf.setGeometry(QtCore.QRect(200, 192, 101, 22))\\r\\n self.max_depoint_reception_sp_perf.setObjectName(\\\"max_depoint_reception_sp_perf\\\")\\r\\n self.clear_reception_sp_perf = QtWidgets.QPushButton(self.groupBox_6)\\r\\n self.clear_reception_sp_perf.setGeometry(QtCore.QRect(654, 123, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_sp_perf.setFont(font)\\r\\n self.clear_reception_sp_perf.setObjectName(\\\"clear_reception_sp_perf\\\")\\r\\n self.cable_loss_reception_sp_perf = QtWidgets.QLineEdit(self.groupBox_6)\\r\\n self.cable_loss_reception_sp_perf.setGeometry(QtCore.QRect(509, 154, 101, 22))\\r\\n self.cable_loss_reception_sp_perf.setObjectName(\\\"cable_loss_reception_sp_perf\\\")\\r\\n self.label_67 = QtWidgets.QLabel(self.groupBox_6)\\r\\n self.label_67.setGeometry(QtCore.QRect(330, 140, 171, 51))\\r\\n self.label_67.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_67.setObjectName(\\\"label_67\\\")\\r\\n self.calc_sp_perf = QtWidgets.QPushButton(self.single_point_perf_calc_page)\\r\\n self.calc_sp_perf.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_sp_perf.setFont(font)\\r\\n self.calc_sp_perf.setObjectName(\\\"calc_sp_perf\\\")\\r\\n self.output_sp_perf = QtWidgets.QTextEdit(self.single_point_perf_calc_page)\\r\\n self.output_sp_perf.setGeometry(QtCore.QRect(10, 638, 801, 181))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.output_sp_perf.setFont(font)\\r\\n self.output_sp_perf.setObjectName(\\\"output_sp_perf\\\")\\r\\n self.label_4 = QtWidgets.QLabel(self.single_point_perf_calc_page)\\r\\n self.label_4.setGeometry(QtCore.QRect(10, 830, 161, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_4.setFont(font)\\r\\n self.label_4.setObjectName(\\\"label_4\\\")\\r\\n self.relaxation_sp_perf = QtWidgets.QLineEdit(self.single_point_perf_calc_page)\\r\\n self.relaxation_sp_perf.setGeometry(QtCore.QRect(175, 830, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_sp_perf.setFont(font)\\r\\n self.relaxation_sp_perf.setToolTip(\\\"\\\")\\r\\n self.relaxation_sp_perf.setObjectName(\\\"relaxation_sp_perf\\\")\\r\\n self.margin_sp_perf = QtWidgets.QLineEdit(self.single_point_perf_calc_page)\\r\\n self.margin_sp_perf.setGeometry(QtCore.QRect(340, 830, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_sp_perf.setFont(font)\\r\\n self.margin_sp_perf.setToolTip(\\\"\\\")\\r\\n self.margin_sp_perf.setObjectName(\\\"margin_sp_perf\\\")\\r\\n self.label_173 = QtWidgets.QLabel(self.single_point_perf_calc_page)\\r\\n self.label_173.setGeometry(QtCore.QRect(240, 830, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_173.setFont(font)\\r\\n self.label_173.setObjectName(\\\"label_173\\\")\\r\\n self.stackedWidget.addWidget(self.single_point_perf_calc_page)\\r\\n self.list_perf_calc_page = QtWidgets.QWidget()\\r\\n self.list_perf_calc_page.setObjectName(\\\"list_perf_calc_page\\\")\\r\\n self.browse_path_mp_perf = QtWidgets.QPushButton(self.list_perf_calc_page)\\r\\n self.browse_path_mp_perf.setGeometry(QtCore.QRect(700, 11, 93, 21))\\r\\n self.browse_path_mp_perf.setObjectName(\\\"browse_path_mp_perf\\\")\\r\\n self.label_10 = QtWidgets.QLabel(self.list_perf_calc_page)\\r\\n self.label_10.setGeometry(QtCore.QRect(6, 13, 55, 16))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_10.setFont(font)\\r\\n self.label_10.setObjectName(\\\"label_10\\\")\\r\\n self.preview_mp_perf = QtWidgets.QTableWidget(self.list_perf_calc_page)\\r\\n self.preview_mp_perf.setGeometry(QtCore.QRect(10, 61, 801, 131))\\r\\n self.preview_mp_perf.setObjectName(\\\"preview_mp_perf\\\")\\r\\n self.preview_mp_perf.setColumnCount(0)\\r\\n self.preview_mp_perf.setRowCount(0)\\r\\n self.label_11 = QtWidgets.QLabel(self.list_perf_calc_page)\\r\\n self.label_11.setGeometry(QtCore.QRect(10, 41, 91, 16))\\r\\n self.label_11.setObjectName(\\\"label_11\\\")\\r\\n self.groupBox_10 = QtWidgets.QGroupBox(self.list_perf_calc_page)\\r\\n self.groupBox_10.setGeometry(QtCore.QRect(8, 199, 801, 261))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_10.setFont(font)\\r\\n self.groupBox_10.setAutoFillBackground(False)\\r\\n self.groupBox_10.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_10.setObjectName(\\\"groupBox_10\\\")\\r\\n self.label_71 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_71.setGeometry(QtCore.QRect(20, 27, 55, 16))\\r\\n self.label_71.setObjectName(\\\"label_71\\\")\\r\\n self.label_72 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_72.setGeometry(QtCore.QRect(20, 69, 161, 21))\\r\\n self.label_72.setObjectName(\\\"label_72\\\")\\r\\n self.name_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.name_sat_mp_perf.setGeometry(QtCore.QRect(100, 27, 511, 22))\\r\\n self.name_sat_mp_perf.setObjectName(\\\"name_sat_mp_perf\\\")\\r\\n self.long_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.long_sat_mp_perf.setGeometry(QtCore.QRect(200, 69, 101, 22))\\r\\n self.long_sat_mp_perf.setObjectName(\\\"long_sat_mp_perf\\\")\\r\\n self.save_sat_mp_perf = QtWidgets.QPushButton(self.groupBox_10)\\r\\n self.save_sat_mp_perf.setGeometry(QtCore.QRect(658, 222, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_sat_mp_perf.setFont(font)\\r\\n self.save_sat_mp_perf.setObjectName(\\\"save_sat_mp_perf\\\")\\r\\n self.load_sat_mp_perf = QtWidgets.QPushButton(self.groupBox_10)\\r\\n self.load_sat_mp_perf.setGeometry(QtCore.QRect(658, 190, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_sat_mp_perf.setFont(font)\\r\\n self.load_sat_mp_perf.setObjectName(\\\"load_sat_mp_perf\\\")\\r\\n self.default_sat_mp_perf = QtWidgets.QComboBox(self.groupBox_10)\\r\\n self.default_sat_mp_perf.setGeometry(QtCore.QRect(650, 58, 131, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(8)\\r\\n self.default_sat_mp_perf.setFont(font)\\r\\n self.default_sat_mp_perf.setObjectName(\\\"default_sat_mp_perf\\\")\\r\\n self.label_73 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_73.setGeometry(QtCore.QRect(651, 29, 131, 16))\\r\\n self.label_73.setObjectName(\\\"label_73\\\")\\r\\n self.label_74 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_74.setGeometry(QtCore.QRect(330, 70, 111, 16))\\r\\n self.label_74.setObjectName(\\\"label_74\\\")\\r\\n self.height_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.height_sat_mp_perf.setGeometry(QtCore.QRect(510, 67, 101, 22))\\r\\n self.height_sat_mp_perf.setObjectName(\\\"height_sat_mp_perf\\\")\\r\\n self.label_75 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_75.setGeometry(QtCore.QRect(330, 108, 121, 16))\\r\\n self.label_75.setObjectName(\\\"label_75\\\")\\r\\n self.eirp_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.eirp_sat_mp_perf.setGeometry(QtCore.QRect(510, 104, 101, 22))\\r\\n self.eirp_sat_mp_perf.setObjectName(\\\"eirp_sat_mp_perf\\\")\\r\\n self.label_76 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_76.setGeometry(QtCore.QRect(20, 137, 171, 51))\\r\\n self.label_76.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_76.setObjectName(\\\"label_76\\\")\\r\\n self.max_bw_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.max_bw_sat_mp_perf.setGeometry(QtCore.QRect(200, 147, 101, 22))\\r\\n self.max_bw_sat_mp_perf.setObjectName(\\\"max_bw_sat_mp_perf\\\")\\r\\n self.label_77 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_77.setGeometry(QtCore.QRect(330, 132, 171, 51))\\r\\n self.label_77.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_77.setObjectName(\\\"label_77\\\")\\r\\n self.bw_util_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.bw_util_sat_mp_perf.setGeometry(QtCore.QRect(510, 145, 101, 22))\\r\\n self.bw_util_sat_mp_perf.setObjectName(\\\"bw_util_sat_mp_perf\\\")\\r\\n self.label_80 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_80.setGeometry(QtCore.QRect(20, 191, 61, 16))\\r\\n self.label_80.setObjectName(\\\"label_80\\\")\\r\\n self.rolloff_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.rolloff_sat_mp_perf.setGeometry(QtCore.QRect(200, 191, 101, 22))\\r\\n self.rolloff_sat_mp_perf.setObjectName(\\\"rolloff_sat_mp_perf\\\")\\r\\n self.label_81 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_81.setGeometry(QtCore.QRect(330, 191, 91, 16))\\r\\n self.label_81.setObjectName(\\\"label_81\\\")\\r\\n self.modcod_sat_mp_perf = QtWidgets.QComboBox(self.groupBox_10)\\r\\n self.modcod_sat_mp_perf.setGeometry(QtCore.QRect(450, 191, 161, 22))\\r\\n self.modcod_sat_mp_perf.setObjectName(\\\"modcod_sat_mp_perf\\\")\\r\\n self.label_82 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_82.setGeometry(QtCore.QRect(20, 109, 131, 20))\\r\\n self.label_82.setObjectName(\\\"label_82\\\")\\r\\n self.freq_sat_mp_perf = QtWidgets.QLineEdit(self.groupBox_10)\\r\\n self.freq_sat_mp_perf.setGeometry(QtCore.QRect(200, 109, 101, 22))\\r\\n self.freq_sat_mp_perf.setObjectName(\\\"freq_sat_mp_perf\\\")\\r\\n self.label_12 = QtWidgets.QLabel(self.groupBox_10)\\r\\n self.label_12.setGeometry(QtCore.QRect(666, 89, 91, 20))\\r\\n self.label_12.setObjectName(\\\"label_12\\\")\\r\\n self.pol_sat_mp_perf = QtWidgets.QComboBox(self.groupBox_10)\\r\\n self.pol_sat_mp_perf.setGeometry(QtCore.QRect(663, 119, 101, 22))\\r\\n self.pol_sat_mp_perf.setObjectName(\\\"pol_sat_mp_perf\\\")\\r\\n self.pol_sat_mp_perf.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_perf.addItem(\\\"\\\")\\r\\n self.pol_sat_mp_perf.addItem(\\\"\\\")\\r\\n self.clear_satellite_mp_perf = QtWidgets.QPushButton(self.groupBox_10)\\r\\n self.clear_satellite_mp_perf.setGeometry(QtCore.QRect(658, 156, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_satellite_mp_perf.setFont(font)\\r\\n self.clear_satellite_mp_perf.setObjectName(\\\"clear_satellite_mp_perf\\\")\\r\\n self.groupBox_11 = QtWidgets.QGroupBox(self.list_perf_calc_page)\\r\\n self.groupBox_11.setGeometry(QtCore.QRect(10, 458, 801, 221))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.groupBox_11.setFont(font)\\r\\n self.groupBox_11.setAutoFillBackground(False)\\r\\n self.groupBox_11.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter)\\r\\n self.groupBox_11.setObjectName(\\\"groupBox_11\\\")\\r\\n self.label_83 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_83.setGeometry(QtCore.QRect(20, 38, 55, 16))\\r\\n self.label_83.setObjectName(\\\"label_83\\\")\\r\\n self.label_84 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_84.setGeometry(QtCore.QRect(20, 68, 151, 31))\\r\\n self.label_84.setObjectName(\\\"label_84\\\")\\r\\n self.label_85 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_85.setGeometry(QtCore.QRect(20, 113, 161, 21))\\r\\n self.label_85.setObjectName(\\\"label_85\\\")\\r\\n self.name_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.name_reception_mp_perf.setGeometry(QtCore.QRect(100, 38, 511, 22))\\r\\n self.name_reception_mp_perf.setObjectName(\\\"name_reception_mp_perf\\\")\\r\\n self.lnb_gain_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.lnb_gain_reception_mp_perf.setGeometry(QtCore.QRect(200, 113, 101, 22))\\r\\n self.lnb_gain_reception_mp_perf.setObjectName(\\\"lnb_gain_reception_mp_perf\\\")\\r\\n self.ant_size_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.ant_size_reception_mp_perf.setGeometry(QtCore.QRect(200, 74, 101, 22))\\r\\n self.ant_size_reception_mp_perf.setObjectName(\\\"ant_size_reception_mp_perf\\\")\\r\\n self.save_reception_mp_perf = QtWidgets.QPushButton(self.groupBox_11)\\r\\n self.save_reception_mp_perf.setGeometry(QtCore.QRect(656, 186, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.save_reception_mp_perf.setFont(font)\\r\\n self.save_reception_mp_perf.setObjectName(\\\"save_reception_mp_perf\\\")\\r\\n self.load_reception_mp_perf = QtWidgets.QPushButton(self.groupBox_11)\\r\\n self.load_reception_mp_perf.setGeometry(QtCore.QRect(656, 151, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.load_reception_mp_perf.setFont(font)\\r\\n self.load_reception_mp_perf.setObjectName(\\\"load_reception_mp_perf\\\")\\r\\n self.label_86 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_86.setGeometry(QtCore.QRect(330, 78, 141, 16))\\r\\n self.label_86.setObjectName(\\\"label_86\\\")\\r\\n self.ant_eff_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.ant_eff_reception_mp_perf.setGeometry(QtCore.QRect(510, 78, 101, 22))\\r\\n self.ant_eff_reception_mp_perf.setObjectName(\\\"ant_eff_reception_mp_perf\\\")\\r\\n self.label_87 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_87.setGeometry(QtCore.QRect(330, 118, 161, 16))\\r\\n self.label_87.setScaledContents(False)\\r\\n self.label_87.setObjectName(\\\"label_87\\\")\\r\\n self.lnb_temp_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.lnb_temp_reception_mp_perf.setGeometry(QtCore.QRect(510, 115, 101, 22))\\r\\n self.lnb_temp_reception_mp_perf.setObjectName(\\\"lnb_temp_reception_mp_perf\\\")\\r\\n self.label_88 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_88.setGeometry(QtCore.QRect(20, 132, 171, 51))\\r\\n self.label_88.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_88.setObjectName(\\\"label_88\\\")\\r\\n self.aditional_losses_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.aditional_losses_reception_mp_perf.setGeometry(QtCore.QRect(200, 146, 101, 22))\\r\\n self.aditional_losses_reception_mp_perf.setObjectName(\\\"aditional_losses_reception_mp_perf\\\")\\r\\n self.label_89 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_89.setGeometry(QtCore.QRect(20, 170, 171, 51))\\r\\n self.label_89.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_89.setObjectName(\\\"label_89\\\")\\r\\n self.max_depoint_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.max_depoint_reception_mp_perf.setGeometry(QtCore.QRect(200, 190, 101, 22))\\r\\n self.max_depoint_reception_mp_perf.setObjectName(\\\"max_depoint_reception_mp_perf\\\")\\r\\n self.clear_reception_mp_perf = QtWidgets.QPushButton(self.groupBox_11)\\r\\n self.clear_reception_mp_perf.setGeometry(QtCore.QRect(656, 115, 111, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n font.setBold(False)\\r\\n font.setWeight(50)\\r\\n self.clear_reception_mp_perf.setFont(font)\\r\\n self.clear_reception_mp_perf.setObjectName(\\\"clear_reception_mp_perf\\\")\\r\\n self.cable_loss_reception_mp_perf = QtWidgets.QLineEdit(self.groupBox_11)\\r\\n self.cable_loss_reception_mp_perf.setGeometry(QtCore.QRect(510, 150, 101, 22))\\r\\n self.cable_loss_reception_mp_perf.setObjectName(\\\"cable_loss_reception_mp_perf\\\")\\r\\n self.label_90 = QtWidgets.QLabel(self.groupBox_11)\\r\\n self.label_90.setGeometry(QtCore.QRect(330, 133, 171, 51))\\r\\n self.label_90.setLayoutDirection(QtCore.Qt.LeftToRight)\\r\\n self.label_90.setObjectName(\\\"label_90\\\")\\r\\n self.output_mp_perf = QtWidgets.QTextEdit(self.list_perf_calc_page)\\r\\n self.output_mp_perf.setGeometry(QtCore.QRect(10, 684, 801, 141))\\r\\n self.output_mp_perf.setObjectName(\\\"output_mp_perf\\\")\\r\\n self.relaxation_mp_perf = QtWidgets.QLineEdit(self.list_perf_calc_page)\\r\\n self.relaxation_mp_perf.setGeometry(QtCore.QRect(174, 832, 51, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.relaxation_mp_perf.setFont(font)\\r\\n self.relaxation_mp_perf.setToolTip(\\\"\\\")\\r\\n self.relaxation_mp_perf.setObjectName(\\\"relaxation_mp_perf\\\")\\r\\n self.calc_mp_perf = QtWidgets.QPushButton(self.list_perf_calc_page)\\r\\n self.calc_mp_perf.setGeometry(QtCore.QRect(670, 830, 141, 28))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.calc_mp_perf.setFont(font)\\r\\n self.calc_mp_perf.setObjectName(\\\"calc_mp_perf\\\")\\r\\n self.label_14 = QtWidgets.QLabel(self.list_perf_calc_page)\\r\\n self.label_14.setGeometry(QtCore.QRect(10, 833, 161, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_14.setFont(font)\\r\\n self.label_14.setObjectName(\\\"label_14\\\")\\r\\n self.label_15 = QtWidgets.QLabel(self.list_perf_calc_page)\\r\\n self.label_15.setGeometry(QtCore.QRect(420, 831, 61, 20))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_15.setFont(font)\\r\\n self.label_15.setObjectName(\\\"label_15\\\")\\r\\n self.n_threads_mp_perf = QtWidgets.QComboBox(self.list_perf_calc_page)\\r\\n self.n_threads_mp_perf.setGeometry(QtCore.QRect(490, 831, 73, 22))\\r\\n self.n_threads_mp_perf.setObjectName(\\\"n_threads_mp_perf\\\")\\r\\n self.path_mp_perf = QtWidgets.QLineEdit(self.list_perf_calc_page)\\r\\n self.path_mp_perf.setGeometry(QtCore.QRect(55, 10, 631, 22))\\r\\n self.path_mp_perf.setObjectName(\\\"path_mp_perf\\\")\\r\\n self.label_16 = QtWidgets.QLabel(self.list_perf_calc_page)\\r\\n self.label_16.setGeometry(QtCore.QRect(240, 831, 91, 21))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.label_16.setFont(font)\\r\\n self.label_16.setObjectName(\\\"label_16\\\")\\r\\n self.margin_mp_perf = QtWidgets.QLineEdit(self.list_perf_calc_page)\\r\\n self.margin_mp_perf.setGeometry(QtCore.QRect(340, 831, 61, 22))\\r\\n font = QtGui.QFont()\\r\\n font.setPointSize(10)\\r\\n self.margin_mp_perf.setFont(font)\\r\\n self.margin_mp_perf.setToolTip(\\\"\\\")\\r\\n self.margin_mp_perf.setObjectName(\\\"margin_mp_perf\\\")\\r\\n self.stackedWidget.addWidget(self.list_perf_calc_page)\\r\\n MainWindow.setCentralWidget(self.centralwidget)\\r\\n self.menubar = QtWidgets.QMenuBar(MainWindow)\\r\\n self.menubar.setGeometry(QtCore.QRect(0, 0, 820, 26))\\r\\n self.menubar.setObjectName(\\\"menubar\\\")\\r\\n self.menuNew = QtWidgets.QMenu(self.menubar)\\r\\n self.menuNew.setObjectName(\\\"menuNew\\\")\\r\\n self.menuCalculation = QtWidgets.QMenu(self.menubar)\\r\\n self.menuCalculation.setObjectName(\\\"menuCalculation\\\")\\r\\n self.menuList_Calculation = QtWidgets.QMenu(self.menubar)\\r\\n self.menuList_Calculation.setObjectName(\\\"menuList_Calculation\\\")\\r\\n self.menuHelp = QtWidgets.QMenu(self.menubar)\\r\\n self.menuHelp.setObjectName(\\\"menuHelp\\\")\\r\\n MainWindow.setMenuBar(self.menubar)\\r\\n self.statusbar = QtWidgets.QStatusBar(MainWindow)\\r\\n self.statusbar.setObjectName(\\\"statusbar\\\")\\r\\n MainWindow.setStatusBar(self.statusbar)\\r\\n self.action_New_Satellite = QtWidgets.QAction(MainWindow)\\r\\n self.action_New_Satellite.setObjectName(\\\"action_New_Satellite\\\")\\r\\n self.actionReception = QtWidgets.QAction(MainWindow)\\r\\n self.actionReception.setObjectName(\\\"actionReception\\\")\\r\\n self.action_New_Ground_Station = QtWidgets.QAction(MainWindow)\\r\\n self.action_New_Ground_Station.setObjectName(\\\"action_New_Ground_Station\\\")\\r\\n self.action_Single_Atmospheric_Atenuation = QtWidgets.QAction(MainWindow)\\r\\n self.action_Single_Atmospheric_Atenuation.setObjectName(\\\"action_Single_Atmospheric_Atenuation\\\")\\r\\n self.action_Single_Downlink_Performance = QtWidgets.QAction(MainWindow)\\r\\n self.action_Single_Downlink_Performance.setObjectName(\\\"action_Single_Downlink_Performance\\\")\\r\\n self.action_List_Downlink_Performance = QtWidgets.QAction(MainWindow)\\r\\n self.action_List_Downlink_Performance.setObjectName(\\\"action_List_Downlink_Performance\\\")\\r\\n self.action_Single_Antenna_Size = QtWidgets.QAction(MainWindow)\\r\\n self.action_Single_Antenna_Size.setObjectName(\\\"action_Single_Antenna_Size\\\")\\r\\n self.action_List_Antenna_Size = QtWidgets.QAction(MainWindow)\\r\\n self.action_List_Antenna_Size.setObjectName(\\\"action_List_Antenna_Size\\\")\\r\\n self.menuNew.addAction(self.action_New_Satellite)\\r\\n self.menuNew.addAction(self.action_New_Ground_Station)\\r\\n self.menuNew.addAction(self.actionReception)\\r\\n self.menuCalculation.addAction(self.action_Single_Atmospheric_Atenuation)\\r\\n self.menuCalculation.addAction(self.action_Single_Downlink_Performance)\\r\\n self.menuCalculation.addAction(self.action_Single_Antenna_Size)\\r\\n self.menuList_Calculation.addAction(self.action_List_Downlink_Performance)\\r\\n self.menuList_Calculation.addAction(self.action_List_Antenna_Size)\\r\\n self.menubar.addAction(self.menuNew.menuAction())\\r\\n self.menubar.addAction(self.menuCalculation.menuAction())\\r\\n self.menubar.addAction(self.menuList_Calculation.menuAction())\\r\\n self.menubar.addAction(self.menuHelp.menuAction())\\r\\n\\r\\n self.retranslateUi(MainWindow)\\r\\n self.stackedWidget.setCurrentIndex(4)\\r\\n self.stackedWidget_2.setCurrentIndex(7)\\r\\n self.stackedWidget_3.setCurrentIndex(9)\\r\\n self.stackedWidget_4.setCurrentIndex(7)\\r\\n QtCore.QMetaObject.connectSlotsByName(MainWindow)\\r\\n\\r\\n # ===================================== HERE GOES MY CODE! ======================================================\\r\\n\\r\\n self.stackedWidget.setCurrentIndex(0) # selecting the initial application's page\\r\\n\\r\\n ######### change window actions buttons ##########\\r\\n import webbrowser\\r\\n self.action_New_Satellite.triggered.connect(\\r\\n lambda state, x=1, page_name='SaLink - Create Satellite': self.change_page(x, page_name))\\r\\n self.action_New_Ground_Station.triggered.connect(\\r\\n lambda state, x=2, page_name='SaLink - Create Ground Station': self.change_page(x, page_name))\\r\\n self.actionReception.triggered.connect(\\r\\n lambda state, x=3, page_name='SaLink - Create Reception': self.change_page(x, page_name))\\r\\n self.action_Single_Atmospheric_Atenuation.triggered.connect(\\r\\n lambda state, x=6, page_name='SaLink - Atmospheric Attenuation': self.change_page(x, page_name))\\r\\n self.action_Single_Downlink_Performance.triggered.connect(\\r\\n lambda state, x=7, page_name='SaLink - Downlink Performance': self.change_page(x, page_name))\\r\\n self.action_List_Downlink_Performance.triggered.connect(\\r\\n lambda state, x=8, page_name='SaLink - Multi Downlink Performance': self.change_page(x, page_name))\\r\\n self.action_Single_Antenna_Size.triggered.connect(\\r\\n lambda state, x=4, page_name='SaLink - Antenna Size': self.change_page(x, page_name))\\r\\n self.action_List_Antenna_Size.triggered.connect(\\r\\n lambda state, x=5, page_name='SaLink - Multi Antenna Size': self.change_page(x, page_name))\\r\\n # self.menuHelp.clicked.connect(webbrowser.open('https://cfragoas.github.io/SatLink/'))\\r\\n\\r\\n ################# calculation buttons #####################\\r\\n self.calc_spatm.clicked.connect(\\r\\n self.single_point_atm_atnn_calc) # Single point atmospheric attenuation calc button activation\\r\\n self.calc_sp_perf.clicked.connect(self.single_point_calc_perf)\\r\\n self.calc_mp_perf.clicked.connect(self.multi_point_calc_perf)\\r\\n self.calc_sp_ant_size.clicked.connect(self.single_point_ant_size)\\r\\n self.calc_mp_ant_size.clicked.connect(self.multi_point_ant_size)\\r\\n\\r\\n ########################saves and load boxes ##########################\\r\\n # main satellite save/load/clear screen\\r\\n self.load_sat.clicked.connect(lambda state, opt='load': self.load_save_sat(opt))\\r\\n self.save_sat.clicked.connect(lambda state, opt='save': self.load_save_sat(opt))\\r\\n self.clear_sat.clicked.connect(lambda state, opt='clear': self.load_save_sat(opt))\\r\\n\\r\\n # main ground station save/load/clear screen\\r\\n self.load_ground_station_gdstation.clicked.connect(lambda state, opt='load': self.load_save_gr_station(opt))\\r\\n self.save_ground_station_gdstation.clicked.connect(lambda state, opt='save': self.load_save_gr_station(opt))\\r\\n self.clear_ground_station_gdstation.clicked.connect(lambda state, opt='clear': self.load_save_gr_station(opt))\\r\\n\\r\\n # main reception save/load/clear screen\\r\\n self.load_reception_rcp.clicked.connect(lambda state, opt='load': self.load_save_reception(opt))\\r\\n self.save_reception_rcp.clicked.connect(lambda state, opt='save': self.load_save_reception(opt))\\r\\n self.clear_reception_rcp.clicked.connect(lambda state, opt='clear': self.load_save_reception(opt))\\r\\n\\r\\n # list path browse\\r\\n self.browse_path_mp_perf.clicked.connect(\\r\\n lambda state, preview_window=self.preview_mp_perf, path_box=self.path_mp_perf: self.load_point_list(\\r\\n preview_window, path_box))\\r\\n self.browse_mp_ant_size.clicked.connect(\\r\\n lambda state, preview_window=self.preview_mp_ant_size, path_box=self.path_mp_ant_size: self.load_point_list(\\r\\n preview_window, path_box))\\r\\n\\r\\n # single point atmospheric attenuation screen\\r\\n self.load_ground_station_spatm.clicked.connect(\\r\\n lambda state, opt='load', item='gst': self.load_clear_atm_atnn_calc(opt, item))\\r\\n self.load_reception_spatm.clicked.connect(\\r\\n lambda state, opt='load', item='rcp': self.load_clear_atm_atnn_calc(opt, item))\\r\\n self.clear_reception_spatm.clicked.connect(\\r\\n lambda state, opt='clear', item='rcp': self.load_clear_atm_atnn_calc(opt, item))\\r\\n self.load_sat_spatm.clicked.connect(\\r\\n lambda state, opt='load', item='sat': self.load_clear_atm_atnn_calc(opt, item))\\r\\n\\r\\n # single point link performance screen\\r\\n self.load_ground_station_sp_perf.clicked.connect(\\r\\n lambda state, opt='load', item='gst': self.load_save_single_point_perf(opt, item))\\r\\n self.save_ground_station_sp_perf.clicked.connect(\\r\\n lambda state, opt='save', item='gst': self.load_save_single_point_perf(opt, item))\\r\\n self.clear_ground_station_sp_perf.clicked.connect(\\r\\n lambda state, opt='clear', item='gst': self.load_save_single_point_perf(opt, item))\\r\\n self.load_sat_sp_perf.clicked.connect(\\r\\n lambda state, opt='load', item='sat': self.load_save_single_point_perf(opt, item))\\r\\n self.save_sat_sp_perf.clicked.connect(\\r\\n lambda state, opt='save', item='sat': self.load_save_single_point_perf(opt, item))\\r\\n self.clear_sat_sp_perf.clicked.connect(\\r\\n lambda state, opt='clear', item='sat': self.load_save_single_point_perf(opt, item))\\r\\n self.load_reception_sp_perf.clicked.connect(\\r\\n lambda state, opt='load', item='rcp': self.load_save_single_point_perf(opt, item))\\r\\n self.save_reception_sp_perf.clicked.connect(\\r\\n lambda state, opt='save', item='rcp': self.load_save_single_point_perf(opt, item))\\r\\n self.clear_reception_sp_perf.clicked.connect(\\r\\n lambda state, opt='clear', item='rcp': self.load_save_single_point_perf(opt, item))\\r\\n\\r\\n # single point antenna size calculation screen\\r\\n self.load_ground_station_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='load', item='gst': self.load_save_single_point_ant_size(opt, item))\\r\\n self.save_ground_station_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='save', item='gst': self.load_save_single_point_ant_size(opt, item))\\r\\n self.clear_ground_station_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='clear', item='gst': self.load_save_single_point_ant_size(opt, item))\\r\\n self.load_sat_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='load', item='sat': self.load_save_single_point_ant_size(opt, item))\\r\\n self.save_sat_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='save', item='sat': self.load_save_single_point_ant_size(opt, item))\\r\\n self.clear_sat_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='clear', item='sat': self.load_save_single_point_ant_size(opt, item))\\r\\n self.load_reception_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='load', item='rcp': self.load_save_single_point_ant_size(opt, item))\\r\\n self.clear_reception_sp_ant_size.clicked.connect(\\r\\n lambda state, opt='clear', item='rcp': self.load_save_single_point_ant_size(opt, item))\\r\\n self.export_result_sp_ant_size.clicked.connect(self.export_graph)\\r\\n\\r\\n # multi point performance screen\\r\\n self.load_sat_mp_perf.clicked.connect(\\r\\n lambda state, opt='load', item='sat': self.load_save_multi_point_perf(opt, item))\\r\\n self.save_sat_mp_perf.clicked.connect(\\r\\n lambda state, opt='save', item='sat': self.load_save_multi_point_perf(opt, item))\\r\\n self.clear_satellite_mp_perf.clicked.connect(\\r\\n lambda state, opt='clear', item='sat': self.load_save_multi_point_perf(opt, item))\\r\\n self.load_reception_mp_perf.clicked.connect(\\r\\n lambda state, opt='load', item='rcp': self.load_save_multi_point_perf(opt, item))\\r\\n self.save_reception_mp_perf.clicked.connect(\\r\\n lambda state, opt='save', item='rcp': self.load_save_multi_point_perf(opt, item))\\r\\n self.clear_reception_mp_perf.clicked.connect(\\r\\n lambda state, opt='clear', item='rcp': self.load_save_multi_point_perf(opt, item))\\r\\n\\r\\n # multi point antenna size calculation screen\\r\\n self.load_sat_mp_ant_size.clicked.connect(\\r\\n lambda state, opt='load', item='sat': self.load_save_multi_point_ant_size(opt, item))\\r\\n self.save_sat_mp_ant_size.clicked.connect(\\r\\n lambda state, opt='save', item='sat': self.load_save_multi_point_ant_size(opt, item))\\r\\n self.clear_sat_mp_ant_size.clicked.connect(\\r\\n lambda state, opt='clear', item='sat': self.load_save_multi_point_ant_size(opt, item))\\r\\n self.load_reception_mp_ant_size.clicked.connect(\\r\\n lambda state, opt='load', item='rcp': self.load_save_multi_point_ant_size(opt, item))\\r\\n self.clear_reception_mp_ant_size.clicked.connect(\\r\\n lambda state, opt='clear', item='rcp': self.load_save_multi_point_ant_size(opt, item))\\r\\n\\r\\n ########################################################################\\r\\n\\r\\n # creating the combo boxes options from files and changed event\\r\\n import pandas as pd\\r\\n\\r\\n # Modulation combo boxes\\r\\n data = pd.read_csv('models\\\\\\\\Modulation_dB.csv', sep=';')['Modcod']\\r\\n data = data.values.tolist()\\r\\n self.modcod_sat_mp_perf.addItems(data)\\r\\n self.modcod_sat_sp_perf.addItems(data)\\r\\n self.modcod_sat.addItems(data)\\r\\n self.modcod_sat_sp_ant_size.addItems(data)\\r\\n self.modcod_sat_mp_ant_size.addItems(data)\\r\\n # Default satellite list combo boxes\\r\\n data = pd.read_csv('models\\\\\\\\Default_Sat.csv', sep=';')['SAT']\\r\\n data = data.values.tolist()\\r\\n self.default_sat.addItems(data)\\r\\n self.default_sat_sp_ant_size.addItems(data)\\r\\n self.default_sat_mp_ant_size.addItems(data)\\r\\n self.default_sat_spatm.addItems(data)\\r\\n self.default_sat_sp_perf.addItems(data)\\r\\n self.default_sat_mp_perf.addItems(data)\\r\\n # Default satellite change event\\r\\n self.default_sat.currentIndexChanged.connect(lambda state,\\r\\n cb_box = self.default_sat,\\r\\n page = 'default_sat': self.on_combobox_changed(cb_box, page))\\r\\n self.default_sat_sp_ant_size.currentIndexChanged.connect(lambda state,\\r\\n cb_box = self.default_sat_sp_ant_size,\\r\\n page = 'sp_ant_size': self.on_combobox_changed(cb_box, page))\\r\\n self.default_sat_mp_ant_size.currentIndexChanged.connect(lambda state,\\r\\n cb_box = self.default_sat_mp_ant_size,\\r\\n page = 'mp_ant_size': self.on_combobox_changed(cb_box, page))\\r\\n self.default_sat_spatm.currentIndexChanged.connect(lambda state,\\r\\n cb_box = self.default_sat_spatm,\\r\\n page = 'spatm': self.on_combobox_changed(cb_box, page))\\r\\n self.default_sat_sp_perf.currentIndexChanged.connect(lambda state,\\r\\n cb_box = self.default_sat_sp_perf,\\r\\n page = 'sp_perf': self.on_combobox_changed(cb_box, page))\\r\\n self.default_sat_mp_perf.currentIndexChanged.connect(lambda state,\\r\\n cb_box = self.default_sat_mp_perf,\\r\\n page = 'mp_perf': self.on_combobox_changed(cb_box, page))\\r\\n\\r\\n # threads number combo box\\r\\n import multiprocessing\\r\\n self.cores = multiprocessing.cpu_count()\\r\\n print('Max threads: ', self.cores)\\r\\n if self.cores > 63:\\r\\n self.cores = 63\\r\\n n_thread_list = [1]\\r\\n n_thread_list.extend(range(2, self.cores - 1, round(self.cores / 4)))\\r\\n n_thread_list_map = map(str, n_thread_list)\\r\\n\\r\\n self.n_threads_mp_perf.addItems(n_thread_list_map)\\r\\n n_thread_list_map = map(str, n_thread_list)\\r\\n self.n_threads_mp_ant_size.addItems(n_thread_list_map)\\r\\n\\r\\n # deleting temp files\\r\\n import os\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n if os.path.exists('temp\\\\\\\\args.pkl'):\\r\\n os.remove('temp\\\\\\\\args.pkl')\\r\\n if os.path.exists(\\\"temp\\\\\\\\out.txt\\\"):\\r\\n os.remove(\\\"temp\\\\\\\\out.txt\\\")\\r\\n\\r\\n # maintaing updatable texts\\r\\n self._update_timer = QtCore.QTimer()\\r\\n self._update_timer.timeout.connect(lambda index=3: self.update_label(index))\\r\\n self._update_timer.timeout.connect(lambda index=4: self.update_label(index))\\r\\n self._update_timer.start(1000) # milliseconds\\r\\n\\r\\n def on_combobox_changed(self, cb_box, page):\\r\\n import pandas as pd\\r\\n index = cb_box.currentIndex()\\r\\n if index != 0:\\r\\n data = pd.read_csv('models\\\\\\\\Default_Sat.csv', sep=';')['COORD']\\r\\n long = data[index]\\r\\n if page == 'default_sat':\\r\\n self.long_sat.setText(long)\\r\\n elif page == 'sp_ant_size':\\r\\n self.long_sat_sp_ant_size.setText(long)\\r\\n elif page == 'mp_ant_size':\\r\\n self.long_sat_mp_ant_size.setText(long)\\r\\n elif page == 'spatm':\\r\\n self.long_sat_spatm.setText(long)\\r\\n elif page == 'sp_perf':\\r\\n self.long_sat_sp_perf.setText(long)\\r\\n elif page == 'mp_perf':\\r\\n self.long_sat_mp_perf.setText(long)\\r\\n\\r\\n\\r\\n def load_save_sat(self, opt):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n type = 'Sat Files (*.sat)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.sat'\\r\\n try:\\r\\n name_sat = str(self.name_sat.text())\\r\\n long_sat = float(self.long_sat.text())\\r\\n height_sat = float(self.height_sat.text())\\r\\n freq = float(self.freq_sat.text())\\r\\n eirp_sat = float(self.eirp_sat.text())\\r\\n max_bw_sat = float(self.max_bw_sat.text())\\r\\n bw_util = float(self.bw_util_sat.text())\\r\\n rolloff_sat = float(self.rolloff_sat.text())\\r\\n modulation = str(self.modcod_sat.currentText())\\r\\n pol = str(self.pol_sat.currentText())\\r\\n\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\\r\\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_sat.setText(str(name_sat))\\r\\n self.long_sat.setText(str(long_sat))\\r\\n self.height_sat.setText(str(height_sat))\\r\\n self.freq_sat.setText(str(freq))\\r\\n self.eirp_sat.setText(str(eirp_sat))\\r\\n self.max_bw_sat.setText(str(max_bw_sat))\\r\\n self.bw_util_sat.setText(str(bw_util))\\r\\n self.rolloff_sat.setText(str(rolloff_sat))\\r\\n index = self.pol_sat.findText(str(pol), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.pol_sat.setCurrentIndex(index)\\r\\n index = self.modcod_sat.findText(str(modulation), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.modcod_sat.setCurrentIndex(index)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_sat.clear()\\r\\n self.long_sat.clear()\\r\\n self.height_sat.clear()\\r\\n self.freq_sat.clear()\\r\\n self.eirp_sat.clear()\\r\\n self.max_bw_sat.clear()\\r\\n self.bw_util_sat.clear()\\r\\n self.rolloff_sat.clear()\\r\\n self.pol_sat.setCurrentIndex(0)\\r\\n self.modcod_sat.setCurrentIndex(0)\\r\\n\\r\\n def load_save_gr_station(self, opt):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n type = 'Ground Station Files (*.gst)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.gst'\\r\\n try:\\r\\n name_grst = str(self.name_ground_station_grstat.text())\\r\\n lat_gst = float(self.lat_ground_station_grstat.text())\\r\\n long_gst = float(self.long_ground_station_grstat.text())\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_grst, lat_gst, long_gst], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_grst, lat_gst, long_gst = pickle.load(f)\\r\\n f.close()\\r\\n self.name_ground_station_grstat.setText(str(name_grst))\\r\\n self.lat_ground_station_grstat.setText(str(lat_gst))\\r\\n self.long_ground_station_grstat.setText(str(long_gst))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_ground_station_grstat.clear()\\r\\n self.lat_ground_station_grstat.clear()\\r\\n self.long_ground_station_grstat.clear()\\r\\n\\r\\n def load_save_reception(self, opt):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n type = 'Reception Setup Files (*.rcp)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.rcp'\\r\\n try:\\r\\n name_rcp = str(self.name_reception_rcp.text())\\r\\n ant_size = float(self.ant_size_reception_rcp.text())\\r\\n ant_eff = float(self.ant_eff_reception_rcp.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_rcp.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_rcp.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_rcp.text())\\r\\n cable_loss = float(self.cable_loss_reception_rcp.text())\\r\\n max_depoint = float(self.max_depoint_reception_rcp.text())\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump(\\r\\n [name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_reception_rcp.setText(str(name_rcp))\\r\\n self.ant_size_reception_rcp.setText(str(ant_size))\\r\\n self.ant_eff_reception_rcp.setText(str(ant_eff))\\r\\n self.lnb_gain_reception_rcp.setText(str(lnb_gain))\\r\\n self.lnb_temp_reception_rcp.setText(str(lnb_temp))\\r\\n self.aditional_losses_reception_rcp.setText(str(aditional_losses))\\r\\n self.cable_loss_reception_rcp.setText(str(cable_loss))\\r\\n self.max_depoint_reception_rcp.setText(str(max_depoint))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_reception_rcp.clear()\\r\\n self.ant_size_reception_rcp.clear()\\r\\n self.ant_eff_reception_rcp.clear()\\r\\n self.lnb_gain_reception_rcp.clear()\\r\\n self.lnb_temp_reception_rcp.clear()\\r\\n self.aditional_losses_reception_rcp.clear()\\r\\n self.cable_loss_reception_rcp.clear()\\r\\n self.max_depoint_reception_rcp.clear()\\r\\n\\r\\n def load_clear_atm_atnn_calc(self, opt, item):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n\\r\\n if item == 'gst':\\r\\n type = 'Ground Station Files (*.gst)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_grst, lat_gst, long_gst = pickle.load(f)\\r\\n f.close()\\r\\n self.lat_ground_station_spatm.setText(str(lat_gst))\\r\\n self.long_ground_station_spatm.setText(str(long_gst))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif item == 'rcp':\\r\\n type = 'Reception Setup Files (*.rcp)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.ant_size_reception_spatm.setText(str(ant_size))\\r\\n self.ant_eff_reception_spatm.setText(str(ant_eff))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.lat_ground_station_spatm.clear()\\r\\n self.long_ground_station_spatm.clear()\\r\\n self.ant_size_reception_spatm.clear()\\r\\n self.ant_eff_reception_spatm.clear()\\r\\n\\r\\n elif item == 'sat':\\r\\n type = 'Sat Files (*.sat)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.long_sat_spatm.setText(str(long_sat))\\r\\n self.freq_sat_spatm.setText(str(freq))\\r\\n index = self.pol_sat_sp_perf.findText(str(pol), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.pol_sat_spatm.setCurrentIndex(index)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n def load_save_single_point_perf(self, opt, item):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n\\r\\n if item == 'gst':\\r\\n type = 'Ground Station Files (*.gst)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.gst'\\r\\n try:\\r\\n name_grst = str(self.name_ground_station_sp_perf.text())\\r\\n lat_gst = float(self.lat_ground_station_sp_perf.text())\\r\\n long_gst = float(self.long_ground_station_sp_perf.text())\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_grst, lat_gst, long_gst], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_grst, lat_gst, long_gst = pickle.load(f)\\r\\n f.close()\\r\\n self.name_ground_station_sp_perf.setText(str(name_grst))\\r\\n self.lat_ground_station_sp_perf.setText(str(lat_gst))\\r\\n self.long_ground_station_sp_perf.setText(str(long_gst))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_ground_station_sp_perf.clear()\\r\\n self.lat_ground_station_sp_perf.clear()\\r\\n self.long_ground_station_sp_perf.clear()\\r\\n\\r\\n elif item == 'sat':\\r\\n type = 'Sat Files (*.sat)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.sat'\\r\\n try:\\r\\n name_sat = str(self.name_sat_sp_perf.text())\\r\\n long_sat = float(self.long_sat_sp_perf.text())\\r\\n height_sat = float(self.height_sat_sp_perf.text())\\r\\n freq = float(self.freq_sat_sp_perf.text())\\r\\n eirp_sat = float(self.eirp_sat_sp_perf.text())\\r\\n max_bw_sat = float(self.max_bw_sat_sp_perf.text())\\r\\n bw_util = float(self.bw_util_sat_sp_perf.text())\\r\\n rolloff_sat = float(self.rolloff_sat_sp_perf.text())\\r\\n modulation = str(self.modcod_sat_sp_perf.currentText())\\r\\n pol = str(self.pol_sat_sp_perf.currentText())\\r\\n\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\\r\\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_sat_sp_perf.setText(str(name_sat))\\r\\n self.long_sat_sp_perf.setText(str(long_sat))\\r\\n self.height_sat_sp_perf.setText(str(height_sat))\\r\\n self.freq_sat_sp_perf.setText(str(freq))\\r\\n self.eirp_sat_sp_perf.setText(str(eirp_sat))\\r\\n self.max_bw_sat_sp_perf.setText(str(max_bw_sat))\\r\\n self.bw_util_sat_sp_perf.setText(str(bw_util))\\r\\n self.rolloff_sat_sp_perf.setText(str(rolloff_sat))\\r\\n index = self.pol_sat_sp_perf.findText(str(pol), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.pol_sat_sp_perf.setCurrentIndex(index)\\r\\n index = self.modcod_sat_sp_perf.findText(str(modulation), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.modcod_sat_sp_perf.setCurrentIndex(index)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_sat_sp_perf.clear()\\r\\n self.long_sat_sp_perf.clear()\\r\\n self.height_sat_sp_perf.clear()\\r\\n self.freq_sat_sp_perf.clear()\\r\\n self.eirp_sat_sp_perf.clear()\\r\\n self.max_bw_sat_sp_perf.clear()\\r\\n self.bw_util_sat_sp_perf.clear()\\r\\n self.rolloff_sat_sp_perf.clear()\\r\\n self.pol_sat_sp_perf.setCurrentIndex(0)\\r\\n self.modcod_sat_sp_perf.setCurrentIndex(0)\\r\\n\\r\\n elif item == 'rcp':\\r\\n type = 'Reception Setup Files (*.rcp)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.rcp'\\r\\n try:\\r\\n name_rcp = str(self.name_reception_sp_perf.text())\\r\\n ant_size = float(self.ant_size_reception_sp_perf.text())\\r\\n ant_eff = float(self.ant_eff_reception_sp_perf.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_sp_perf.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_sp_perf.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_sp_perf.text())\\r\\n cable_loss = float(self.cable_loss_reception_sp_perf.text())\\r\\n max_depoint = float(self.max_depoint_reception_sp_perf.text())\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump(\\r\\n [name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss,\\r\\n max_depoint], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_reception_sp_perf.setText(str(name_rcp))\\r\\n self.ant_size_reception_sp_perf.setText(str(ant_size))\\r\\n self.ant_eff_reception_sp_perf.setText(str(ant_eff))\\r\\n self.lnb_gain_reception_sp_perf.setText(str(lnb_gain))\\r\\n self.lnb_temp_reception_sp_perf.setText(str(lnb_temp))\\r\\n self.aditional_losses_reception_sp_perf.setText(str(aditional_losses))\\r\\n self.cable_loss_reception_sp_perf.setText(str(cable_loss))\\r\\n self.max_depoint_reception_sp_perf.setText(str(max_depoint))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_reception_sp_perf.clear()\\r\\n self.ant_size_reception_sp_perf.clear()\\r\\n self.ant_eff_reception_sp_perf.clear()\\r\\n self.lnb_gain_reception_sp_perf.clear()\\r\\n self.lnb_temp_reception_sp_perf.clear()\\r\\n self.aditional_losses_reception_sp_perf.clear()\\r\\n self.cable_loss_reception_sp_perf.clear()\\r\\n self.max_depoint_reception_sp_perf.clear()\\r\\n\\r\\n def load_save_multi_point_perf(self, opt, item):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n\\r\\n if item == 'sat':\\r\\n type = 'Sat Files (*.sat)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.sat'\\r\\n try:\\r\\n name_sat = str(self.name_sat_mp_perf.text())\\r\\n long_sat = float(self.long_sat_mp_perf.text())\\r\\n height_sat = float(self.height_sat_mp_perf.text())\\r\\n freq = float(self.freq_sat_mp_perf.text())\\r\\n eirp_sat = float(self.eirp_sat_mp_perf.text())\\r\\n max_bw_sat = float(self.max_bw_sat_mp_perf.text())\\r\\n bw_util = float(self.bw_util_sat_mp_perf.text())\\r\\n rolloff_sat = float(self.rolloff_sat_mp_perf.text())\\r\\n modulation = str(self.modcod_sat_mp_perf.currentText())\\r\\n pol = str(self.pol_sat_mp_perf.currentText())\\r\\n\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\\r\\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_sat_mp_perf.setText(str(name_sat))\\r\\n self.long_sat_mp_perf.setText(str(long_sat))\\r\\n self.height_sat_mp_perf.setText(str(height_sat))\\r\\n self.freq_sat_mp_perf.setText(str(freq))\\r\\n self.eirp_sat_mp_perf.setText(str(eirp_sat))\\r\\n self.max_bw_sat_mp_perf.setText(str(max_bw_sat))\\r\\n self.bw_util_sat_mp_perf.setText(str(bw_util))\\r\\n self.rolloff_sat_mp_perf.setText(str(rolloff_sat))\\r\\n index = self.pol_sat_mp_perf.findText(str(pol), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.pol_sat_mp_perf.setCurrentIndex(index)\\r\\n index = self.modcod_sat_mp_perf.findText(str(modulation), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.modcod_sat_mp_perf.setCurrentIndex(index)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_sat_mp_perf.clear()\\r\\n self.long_sat_mp_perf.clear()\\r\\n self.height_sat_mp_perf.clear()\\r\\n self.freq_sat_mp_perf.clear()\\r\\n self.eirp_sat_mp_perf.clear()\\r\\n self.max_bw_sat_mp_perf.clear()\\r\\n self.bw_util_sat_mp_perf.clear()\\r\\n self.rolloff_sat_mp_perf.clear()\\r\\n self.pol_sat_mp_perf.setCurrentIndex(0)\\r\\n self.modcod_sat_mp_perf.setCurrentIndex(0)\\r\\n\\r\\n elif item == 'rcp':\\r\\n type = 'Reception Setup Files (*.rcp)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.rcp'\\r\\n try:\\r\\n name_rcp = str(self.name_reception_mp_perf.text())\\r\\n ant_size = float(self.ant_size_reception_mp_perf.text())\\r\\n ant_eff = float(self.ant_eff_reception_mp_perf.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_mp_perf.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_mp_perf.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_mp_perf.text())\\r\\n cable_loss = float(self.cable_loss_reception_mp_perf.text())\\r\\n max_depoint = float(self.max_depoint_reception_mp_perf.text())\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump(\\r\\n [name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss,\\r\\n max_depoint], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_reception_mp_perf.setText(str(name_rcp))\\r\\n self.ant_size_reception_mp_perf.setText(str(ant_size))\\r\\n self.ant_eff_reception_mp_perf.setText(str(ant_eff))\\r\\n self.lnb_gain_reception_mp_perf.setText(str(lnb_gain))\\r\\n self.lnb_temp_reception_mp_perf.setText(str(lnb_temp))\\r\\n self.aditional_losses_reception_mp_perf.setText(str(aditional_losses))\\r\\n self.cable_loss_reception_mp_perf.setText(str(cable_loss))\\r\\n self.max_depoint_reception_mp_perf.setText(str(max_depoint))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_reception_mp_perf.clear()\\r\\n self.ant_size_reception_mp_perf.clear()\\r\\n self.ant_eff_reception_mp_perf.clear()\\r\\n self.lnb_gain_reception_mp_perf.clear()\\r\\n self.lnb_temp_reception_mp_perf.clear()\\r\\n self.aditional_losses_reception_sp_perf.clear()\\r\\n self.cable_loss_reception_mp_perf.clear()\\r\\n self.max_depoint_reception_mp_perf.clear()\\r\\n\\r\\n def load_save_single_point_ant_size(self, opt, item):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n\\r\\n if item == 'gst':\\r\\n type = 'Ground Station Files (*.gst)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.gst'\\r\\n try:\\r\\n name_grst = str(self.name_ground_station_sp_ant_size.text())\\r\\n lat_gst = float(self.lat_ground_station_sp_ant_size.text())\\r\\n long_gst = float(self.long_ground_station_sp_ant_size.text())\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_grst, lat_gst, long_gst], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_grst, lat_gst, long_gst = pickle.load(f)\\r\\n f.close()\\r\\n self.name_ground_station_sp_ant_size.setText(str(name_grst))\\r\\n self.lat_ground_station_sp_ant_size.setText(str(lat_gst))\\r\\n self.long_ground_station_sp_ant_size.setText(str(long_gst))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_ground_station_sp_ant_size.clear()\\r\\n self.lat_ground_station_sp_ant_size.clear()\\r\\n self.long_ground_station_sp_ant_size.clear()\\r\\n\\r\\n elif item == 'sat':\\r\\n type = 'Sat Files (*.sat)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.sat'\\r\\n try:\\r\\n name_sat = str(self.name_sat_sp_ant_size.text())\\r\\n long_sat = float(self.long_sat_sp_ant_size.text())\\r\\n height_sat = float(self.height_sat_sp_ant_size.text())\\r\\n freq = float(self.freq_sat_sp_ant_size.text())\\r\\n eirp_sat = float(self.eirp_sat_sp_ant_size.text())\\r\\n max_bw_sat = float(self.max_bw_sat_sp_ant_size.text())\\r\\n bw_util = float(self.bw_util_sat_sp_ant_size.text())\\r\\n rolloff_sat = float(self.rolloff_sat_sp_ant_size.text())\\r\\n modulation = str(self.modcod_sat_sp_ant_size.currentText())\\r\\n pol = str(self.pol_sat_sp_ant_size.currentText())\\r\\n\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\\r\\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_sat_sp_ant_size.setText(str(name_sat))\\r\\n self.long_sat_sp_ant_size.setText(str(long_sat))\\r\\n self.height_sat_sp_ant_size.setText(str(height_sat))\\r\\n self.freq_sat_sp_ant_size.setText(str(freq))\\r\\n self.eirp_sat_sp_ant_size.setText(str(eirp_sat))\\r\\n self.max_bw_sat_sp_ant_size.setText(str(max_bw_sat))\\r\\n self.bw_util_sat_sp_ant_size.setText(str(bw_util))\\r\\n self.rolloff_sat_sp_ant_size.setText(str(rolloff_sat))\\r\\n index = self.pol_sat_sp_ant_size.findText(str(pol), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.pol_sat_sp_ant_size.setCurrentIndex(index)\\r\\n index = self.modcod_sat_sp_ant_size.findText(str(modulation), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.modcod_sat_sp_ant_size.setCurrentIndex(index)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_sat_sp_ant_size.clear()\\r\\n self.long_sat_sp_ant_size.clear()\\r\\n self.height_sat_sp_ant_size.clear()\\r\\n self.freq_sat_sp_ant_size.clear()\\r\\n self.eirp_sat_sp_ant_size.clear()\\r\\n self.max_bw_sat_sp_ant_size.clear()\\r\\n self.bw_util_sat_sp_ant_size.clear()\\r\\n self.rolloff_sat_sp_ant_size.clear()\\r\\n self.pol_sat_sp_ant_size.setCurrentIndex(0)\\r\\n self.modcod_sat_sp_ant_size.setCurrentIndex(0)\\r\\n\\r\\n elif item == 'rcp':\\r\\n type = 'Reception Setup Files (*.rcp)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_reception_sp_ant_size.setText(str(name_rcp))\\r\\n self.ant_eff_reception_sp_ant_size.setText(str(ant_eff))\\r\\n self.lnb_gain_reception_sp_ant_size.setText(str(lnb_gain))\\r\\n self.lnb_temp_reception_sp_ant_size.setText(str(lnb_temp))\\r\\n self.aditional_losses_reception_sp_ant_size.setText(str(aditional_losses))\\r\\n self.cable_loss_reception_sp_ant_size.setText(str(cable_loss))\\r\\n self.max_depoint_reception_sp_ant_size.setText(str(max_depoint))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_reception_sp_ant_size.clear()\\r\\n self.ant_eff_reception_sp_ant_size.clear()\\r\\n self.lnb_gain_reception_sp_ant_size.clear()\\r\\n self.lnb_temp_reception_sp_ant_size.clear()\\r\\n self.aditional_losses_reception_sp_ant_size.clear()\\r\\n self.cable_loss_reception_sp_ant_size.clear()\\r\\n self.max_depoint_reception_sp_ant_size.clear()\\r\\n\\r\\n def load_save_multi_point_ant_size(self, opt, item):\\r\\n import pickle\\r\\n import os\\r\\n from file_dialog import open_dialog\\r\\n\\r\\n if item == 'sat':\\r\\n type = 'Sat Files (*.sat)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n if opt == 'save':\\r\\n if folder != '':\\r\\n folder = folder + '.sat'\\r\\n try:\\r\\n name_sat = str(self.name_sat_mp_ant_size.text())\\r\\n long_sat = float(self.long_sat_mp_ant_size.text())\\r\\n height_sat = float(self.height_sat_mp_ant_size.text())\\r\\n freq = float(self.freq_sat_mp_ant_size.text())\\r\\n eirp_sat = float(self.eirp_sat_mp_ant_size.text())\\r\\n max_bw_sat = float(self.max_bw_sat_mp_ant_size.text())\\r\\n bw_util = float(self.bw_util_sat_mp_ant_size.text())\\r\\n rolloff_sat = float(self.rolloff_sat_mp_ant_size.text())\\r\\n modulation = str(self.modcod_sat_mp_ant_size.currentText())\\r\\n pol = str(self.pol_sat_mp_ant_size.currentText())\\r\\n\\r\\n except:\\r\\n QtWidgets.QMessageBox.warning(MainWindow, 'WARNING', 'Empty or wrong type in the fields!!!')\\r\\n return\\r\\n\\r\\n with open(folder, 'wb') as f:\\r\\n pickle.dump([name_sat, long_sat, height_sat, freq, eirp_sat,\\r\\n max_bw_sat, bw_util, rolloff_sat, modulation, pol], f)\\r\\n f.close()\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\save.pkl'):\\r\\n os.remove('temp\\\\\\\\save.pkl')\\r\\n\\r\\n elif opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_sat, long_sat, height_sat, freq, eirp_sat, max_bw_sat, bw_util, rolloff_sat, modulation, pol = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_sat_mp_ant_size.setText(str(name_sat))\\r\\n self.long_sat_mp_ant_size.setText(str(long_sat))\\r\\n self.height_sat_mp_ant_size.setText(str(height_sat))\\r\\n self.freq_sat_mp_ant_size.setText(str(freq))\\r\\n self.eirp_sat_mp_ant_size.setText(str(eirp_sat))\\r\\n self.max_bw_sat_mp_ant_size.setText(str(max_bw_sat))\\r\\n self.bw_util_sat_mp_ant_size.setText(str(bw_util))\\r\\n self.rolloff_sat_mp_ant_size.setText(str(rolloff_sat))\\r\\n index = self.pol_sat_mp_ant_size.findText(str(pol), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.pol_sat_mp_ant_size.setCurrentIndex(index)\\r\\n index = self.modcod_sat_mp_ant_size.findText(str(modulation), QtCore.Qt.MatchFixedString)\\r\\n if index >= 0:\\r\\n self.modcod_sat_mp_ant_size.setCurrentIndex(index)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_sat_mp_ant_size.clear()\\r\\n self.long_sat_mp_ant_size.clear()\\r\\n self.height_sat_mp_ant_size.clear()\\r\\n self.freq_sat_mp_ant_size.clear()\\r\\n self.eirp_sat_mp_ant_size.clear()\\r\\n self.max_bw_sat_mp_ant_size.clear()\\r\\n self.bw_util_sat_mp_ant_size.clear()\\r\\n self.rolloff_sat_mp_ant_size.clear()\\r\\n self.pol_sat_mp_ant_size.setCurrentIndex(0)\\r\\n self.modcod_sat_mp_ant_size.setCurrentIndex(0)\\r\\n\\r\\n elif item == 'rcp':\\r\\n type = 'Reception Setup Files (*.rcp)'\\r\\n if opt != 'clear':\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if opt == 'load':\\r\\n if folder != '':\\r\\n with open(folder, 'rb') as f:\\r\\n name_rcp, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses, cable_loss, max_depoint = pickle.load(\\r\\n f)\\r\\n f.close()\\r\\n self.name_reception_mp_ant_size.setText(str(name_rcp))\\r\\n self.ant_eff_reception_mp_ant_size.setText(str(ant_eff))\\r\\n self.lnb_gain_reception_mp_ant_size.setText(str(lnb_gain))\\r\\n self.lnb_temp_reception_mp_ant_size.setText(str(lnb_temp))\\r\\n self.aditional_losses_reception_mp_ant_size.setText(str(aditional_losses))\\r\\n self.cable_loss_reception_mp_ant_size.setText(str(cable_loss))\\r\\n self.max_depoint_reception_mp_ant_size.setText(str(max_depoint))\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n elif opt == 'clear':\\r\\n self.name_reception_mp_ant_size.clear()\\r\\n self.ant_eff_reception_mp_ant_size.clear()\\r\\n self.lnb_gain_reception_mp_ant_size.clear()\\r\\n self.lnb_temp_reception_mp_ant_size.clear()\\r\\n self.aditional_losses_reception_mp_ant_size.clear()\\r\\n self.cable_loss_reception_mp_ant_size.clear()\\r\\n self.max_depoint_reception_mp_ant_size.clear()\\r\\n\\r\\n def load_point_list(self, preview_window, path_box):\\r\\n from file_dialog import open_dialog\\r\\n import pandas as pd\\r\\n import pickle\\r\\n\\r\\n opt = 'load'\\r\\n type = 'Comma-separated values (*.csv)'\\r\\n open_dialog(opt, type)\\r\\n\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n # print(folder)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n preview_window.setColumnCount(4)\\r\\n preview_window.setRowCount(10)\\r\\n\\r\\n preview_window.setHorizontalHeaderLabels(['Name', 'Lat', 'Long', 'Delta Footprint'])\\r\\n\\r\\n # self.preview_mp_perf.setColumnCount(4)\\r\\n # self.preview_mp_perf.setRowCount(10)\\r\\n #\\r\\n # self.preview_mp_perf.setHorizontalHeaderLabels(['Name', 'Lat', 'Long', 'Delta Footprint'])\\r\\n\\r\\n if folder != '':\\r\\n path_box.setText(str(folder))\\r\\n data = pd.read_csv(folder, sep=';')\\r\\n # print(folder)\\r\\n for index, row in data.iterrows():\\r\\n\\r\\n preview_window.setItem(index, 0, QtWidgets.QTableWidgetItem(str(row['Name'])))\\r\\n preview_window.setItem(index, 1, QtWidgets.QTableWidgetItem(str(row['Lat'])))\\r\\n preview_window.setItem(index, 2, QtWidgets.QTableWidgetItem(str(row['Long'])))\\r\\n if 'Delta Footprint' in data.columns: # check in case Delta Footprint is not used\\r\\n preview_window.setItem(index, 3, QtWidgets.QTableWidgetItem(str(row['Delta Footprint'])))\\r\\n else:\\r\\n preview_window.setItem(index, 3, QtWidgets.QTableWidgetItem('0'))\\r\\n if index == 9:\\r\\n break\\r\\n\\r\\n preview_window.setAlternatingRowColors(True)\\r\\n preview_window.horizontalHeader().setSectionResizeMode(QtWidgets.QHeaderView.Stretch)\\r\\n\\r\\n preview_window.setSizeAdjustPolicy(QtWidgets.QAbstractScrollArea.AdjustToContents)\\r\\n preview_window.setSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\load.pkl'):\\r\\n os.remove('temp\\\\\\\\load.pkl')\\r\\n\\r\\n return\\r\\n\\r\\n # def on_combobox_changed(self, x):\\r\\n # if x == 1:\\r\\n # modcod = str(self.modcod_sat.currentText())\\r\\n # elif x == 2:\\r\\n # modcod = str(self.modcod_sat_sp_perf.currentText())\\r\\n # elif x == 3:\\r\\n # modcod = str(self.modcod_sat_mp_perf.currentText())\\r\\n\\r\\n def update_label(self, index):\\r\\n import os\\r\\n\\r\\n if os.path.exists('temp\\\\\\\\out.txt'):\\r\\n with open(\\\"temp\\\\\\\\out.txt\\\", \\\"r\\\") as myfile:\\r\\n # data = myfile.read()\\r\\n\\r\\n if index == 1:\\r\\n data = myfile.read()\\r\\n if len(data) == 0:\\r\\n data = ' '\\r\\n self.output_spatm.setText(data)\\r\\n\\r\\n if index == 2:\\r\\n data = myfile.read()\\r\\n if len(data) == 0:\\r\\n data = ' '\\r\\n self.output_sp_perf.setText(data)\\r\\n\\r\\n if index == 3 or index == 4:\\r\\n data = myfile.readlines()\\r\\n if len(data) != 0:\\r\\n del data[:-1]\\r\\n else:\\r\\n data = ' '\\r\\n self.output_mp_perf.setText(data[0])\\r\\n self.output_mp_ant_size.setText(data[0])\\r\\n # self.output_sp_perf_2.moveCursor(QtGui.QTextCursor.End)\\r\\n else:\\r\\n return\\r\\n\\r\\n def change_page(self, x, page_name):\\r\\n self.stackedWidget.setCurrentIndex(x)\\r\\n MainWindow.setWindowTitle(page_name)\\r\\n\\r\\n def single_point_atm_atnn_calc(self):\\r\\n from atm_atnn import calc_atm_atnn\\r\\n\\r\\n try:\\r\\n p = float(self.p_year_spatm.text())\\r\\n site_lat = float(self.lat_ground_station_spatm.text())\\r\\n site_long = float(self.long_ground_station_spatm.text())\\r\\n ant_size = float(self.ant_size_reception_spatm.text())\\r\\n ant_eff = float(self.ant_eff_reception_spatm.text())\\r\\n sat_long = float(self.long_sat_spatm.text())\\r\\n freq = float(self.freq_sat_spatm.text())\\r\\n method = str(self.method_spatm.currentText())\\r\\n\\r\\n import pickle\\r\\n\\r\\n with open('temp\\\\\\\\args.pkl', 'wb') as f:\\r\\n pickle.dump([p, site_lat, site_long, ant_size, ant_eff, sat_long, freq, method], f)\\r\\n f.close()\\r\\n self.threadpool = QtCore.QThreadPool()\\r\\n self.threadpool.start(calc_atm_atnn)\\r\\n self.threadpool.waitForDone()\\r\\n self.update_label(1)\\r\\n return\\r\\n\\r\\n except:\\r\\n self.output_spatm.setText('Please fill all the fields before running!!!')\\r\\n\\r\\n def single_point_calc_perf(self):\\r\\n from link_performance import sp_link_performance\\r\\n import pickle\\r\\n try:\\r\\n # ground station parameters\\r\\n site_lat = float(self.lat_ground_station_sp_perf.text())\\r\\n site_long = float(self.long_ground_station_sp_perf.text())\\r\\n\\r\\n # #satellite parameters\\r\\n sat_long = float(self.long_sat_sp_perf.text())\\r\\n freq = float(self.freq_sat_sp_perf.text())\\r\\n sat_height = float(self.height_sat_sp_perf.text())\\r\\n max_eirp = float(self.eirp_sat_sp_perf.text())\\r\\n max_bw = float(self.max_bw_sat_sp_perf.text())\\r\\n bw_util = float(self.bw_util_sat_sp_perf.text())\\r\\n roll_off = float(self.rolloff_sat_sp_perf.text())\\r\\n modcod = str(self.modcod_sat_sp_perf.currentText())\\r\\n pol = str(self.pol_sat_sp_perf.currentText())\\r\\n\\r\\n # #reception parameters\\r\\n\\r\\n ant_size = float(self.ant_size_reception_sp_perf.text())\\r\\n ant_eff = float(self.ant_eff_reception_sp_perf.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_sp_perf.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_sp_perf.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_sp_perf.text())\\r\\n cable_loss = float(self.cable_loss_reception_sp_perf.text())\\r\\n max_depoint = float(self.max_depoint_reception_sp_perf.text())\\r\\n\\r\\n # #calculation parameters\\r\\n snr_relaxation = float(self.relaxation_sp_perf.text())\\r\\n margin = float(self.margin_sp_perf.text())\\r\\n\\r\\n with open('temp\\\\\\\\args.pkl', 'wb') as f:\\r\\n pickle.dump(\\r\\n [site_lat, site_long, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\\r\\n modcod, pol, roll_off, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses,\\r\\n cable_loss, max_depoint, snr_relaxation, margin], f)\\r\\n f.close()\\r\\n except:\\r\\n self.output_sp_perf.setText('Please fill all the fields before running!!!')\\r\\n return\\r\\n\\r\\n self.output_sp_perf.setText('Starting ....')\\r\\n\\r\\n self.threadpool = QtCore.QThreadPool()\\r\\n self.threadpool.start(sp_link_performance)\\r\\n self.threadpool.waitForDone()\\r\\n self.update_label(2)\\r\\n return\\r\\n\\r\\n def multi_point_calc_perf(self):\\r\\n from link_performance import mp_link_performance\\r\\n import pickle\\r\\n try:\\r\\n\\r\\n # ground station points path\\r\\n gr_station_path = str(self.path_mp_perf.text())\\r\\n\\r\\n # #satellite parameters\\r\\n sat_long = float(self.long_sat_mp_perf.text())\\r\\n freq = float(self.freq_sat_mp_perf.text())\\r\\n sat_height = float(self.height_sat_mp_perf.text())\\r\\n max_eirp = float(self.eirp_sat_mp_perf.text())\\r\\n max_bw = float(self.max_bw_sat_mp_perf.text())\\r\\n bw_util = float(self.bw_util_sat_mp_perf.text())\\r\\n roll_off = float(self.rolloff_sat_mp_perf.text())\\r\\n modcod = str(self.modcod_sat_mp_perf.currentText())\\r\\n pol = str(self.pol_sat_mp_perf.currentText())\\r\\n\\r\\n # #reception parameters\\r\\n\\r\\n ant_size = float(self.ant_size_reception_mp_perf.text())\\r\\n ant_eff = float(self.ant_eff_reception_mp_perf.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_mp_perf.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_mp_perf.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_mp_perf.text())\\r\\n cable_loss = float(self.cable_loss_reception_mp_perf.text())\\r\\n max_depoint = float(self.max_depoint_reception_mp_perf.text())\\r\\n\\r\\n # #calculation parameters\\r\\n # snr_relaxation = float(self.relaxation_mp_perf.text())\\r\\n snr_relaxation = float(self.relaxation_mp_perf.text())\\r\\n margin = float(self.margin_mp_perf.text())\\r\\n threads = int(self.n_threads_mp_perf.currentText())\\r\\n\\r\\n with open('temp\\\\\\\\args.pkl', 'wb') as f:\\r\\n pickle.dump(\\r\\n [gr_station_path, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\\r\\n modcod, pol, roll_off, ant_size, ant_eff, lnb_gain, lnb_temp, aditional_losses,\\r\\n cable_loss, max_depoint, snr_relaxation, margin, threads], f)\\r\\n f.close()\\r\\n except:\\r\\n self.output_sp_perf.setText('Please fill all the fields before running!!!')\\r\\n return\\r\\n\\r\\n self.threadpool = QtCore.QThreadPool()\\r\\n self.threadpool.start(mp_link_performance)\\r\\n\\r\\n # self.threadtimer = QtCore.QTimer()\\r\\n # self.threadtimer.timeout.connect(lambda x=self.threadpool.activeThreadCount(): self.kill_threadpoll(x))\\r\\n # self.threadtimer.start(3000) # milliseconds\\r\\n\\r\\n # while self.threadpool.activeThreadCount() != 0:\\r\\n # print(self.threadpool.activeThreadCount())\\r\\n # self.threadpool.waitForDone()\\r\\n # self._update_timer.stop()\\r\\n return\\r\\n\\r\\n def single_point_ant_size(self):\\r\\n from antenna_size import sp_ant_size\\r\\n import matplotlib.pyplot as plt\\r\\n import numpy as np\\r\\n import pickle\\r\\n\\r\\n try:\\r\\n # ground station parameters\\r\\n site_lat = float(self.lat_ground_station_sp_ant_size.text())\\r\\n site_long = float(self.long_ground_station_sp_ant_size.text())\\r\\n\\r\\n # #satellite parameters\\r\\n sat_long = float(self.long_sat_sp_ant_size.text())\\r\\n freq = float(self.freq_sat_sp_ant_size.text())\\r\\n sat_height = float(self.height_sat_sp_ant_size.text())\\r\\n max_eirp = float(self.eirp_sat_sp_ant_size.text())\\r\\n max_bw = float(self.max_bw_sat_sp_ant_size.text())\\r\\n bw_util = float(self.bw_util_sat_sp_ant_size.text())\\r\\n roll_off = float(self.rolloff_sat_sp_ant_size.text())\\r\\n modcod = str(self.modcod_sat_sp_ant_size.currentText())\\r\\n pol = str(self.pol_sat_sp_ant_size.currentText())\\r\\n\\r\\n # #reception parameters\\r\\n ant_eff = float(self.ant_eff_reception_sp_ant_size.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_sp_ant_size.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_sp_ant_size.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_sp_ant_size.text())\\r\\n cable_loss = float(self.cable_loss_reception_sp_ant_size.text())\\r\\n max_depoint = float(self.max_depoint_reception_sp_ant_size.text())\\r\\n\\r\\n # #calculation parameters\\r\\n max_ant_size = float(self.ant_max_size_sp_ant_size.text())\\r\\n min_ant_size = float(self.ant_min_size_sp_ant_size.text())\\r\\n margin = float(self.margin_sp_ant_size.text())\\r\\n\\r\\n with open('temp\\\\\\\\args.pkl', 'wb') as f:\\r\\n pickle.dump(\\r\\n [site_lat, site_long, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\\r\\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\\r\\n cable_loss, max_depoint, max_ant_size, min_ant_size, margin, self.cores], f)\\r\\n f.close()\\r\\n except:\\r\\n self.output_sp_perf.setText('Please fill all the fields before running!!!')\\r\\n return\\r\\n\\r\\n self.output_sp_ant_size.setText('Running...')\\r\\n self.threadpool = QtCore.QThreadPool()\\r\\n self.threadpool.start(sp_ant_size)\\r\\n self.threadpool.waitForDone()\\r\\n\\r\\n with open('temp\\\\\\\\args.pkl', 'rb') as f:\\r\\n (ant_size_vector, ant_size_vector_interp, availability_vector, availability_vector_interp) = pickle.load(f)\\r\\n f.close()\\r\\n\\r\\n output = 'RESULTS \\\\n' \\\\\\r\\n 'Antenna size (m)\\\\tAvailability(%)\\\\n'\\r\\n\\r\\n for ant_size, availability in zip(ant_size_vector, availability_vector):\\r\\n output += (str(round(ant_size,1)) + '\\\\t\\\\t' + str(availability) + '\\\\n')\\r\\n\\r\\n self.output_sp_ant_size.setText(output)\\r\\n\\r\\n\\r\\n # ploting the availability/ unavailability time graphs\\r\\n fig, (ax1, ax2) = plt.subplots(2)\\r\\n fig.suptitle('Antenna Size x Year availability')\\r\\n # fig.canvas.set_window_title(self.name_ground_station_sp_ant_size.text())\\r\\n fig.canvas.manager.set_window_title(self.name_ground_station_sp_ant_size.text())\\r\\n unavailability_time_vector = (1 - np.array(availability_vector) / 100) * 8760\\r\\n ax1.plot(ant_size_vector, availability_vector)\\r\\n ax2.plot(ant_size_vector, unavailability_time_vector)\\r\\n plt.setp(ax1, ylabel='Availability (%year)')\\r\\n plt.setp(ax2, xlabel='Antenna size')\\r\\n plt.setp(ax2, ylabel='Unavailability (hours/year)')\\r\\n fig.savefig('temp\\\\\\\\fig.png')\\r\\n\\r\\n plt.show()\\r\\n\\r\\n return\\r\\n\\r\\n def multi_point_ant_size(self):\\r\\n from antenna_size import mp_ant_size\\r\\n import pickle\\r\\n\\r\\n try:\\r\\n\\r\\n # ground station points path\\r\\n gr_station_path = str(self.path_mp_ant_size.text())\\r\\n\\r\\n # #satellite parameters\\r\\n sat_long = float(self.long_sat_mp_ant_size.text())\\r\\n freq = float(self.freq_sat_mp_ant_size.text())\\r\\n sat_height = float(self.height_sat_mp_ant_size.text())\\r\\n max_eirp = float(self.eirp_sat_mp_ant_size.text())\\r\\n max_bw = float(self.max_bw_sat_mp_ant_size.text())\\r\\n bw_util = float(self.bw_util_sat_mp_ant_size.text())\\r\\n roll_off = float(self.rolloff_sat_mp_ant_size.text())\\r\\n modcod = str(self.modcod_sat_mp_ant_size.currentText())\\r\\n pol = str(self.pol_sat_mp_ant_size.currentText())\\r\\n\\r\\n # #reception parameters\\r\\n\\r\\n ant_eff = float(self.ant_eff_reception_mp_ant_size.text())\\r\\n lnb_gain = float(self.lnb_gain_reception_mp_ant_size.text())\\r\\n lnb_temp = float(self.lnb_temp_reception_mp_ant_size.text())\\r\\n aditional_losses = float(self.aditional_losses_reception_mp_ant_size.text())\\r\\n cable_loss = float(self.cable_loss_reception_mp_ant_size.text())\\r\\n max_depoint = float(self.max_depoint_reception_mp_ant_size.text())\\r\\n\\r\\n # #calculation parameters\\r\\n availability_target = float(self.availability_target_mp_ant_size.text())\\r\\n snr_relaxation = float(self.relaxation_mp_ant_size.text())\\r\\n margin = float(self.margin_mp_ant_size.text())\\r\\n threads = int(self.n_threads_mp_ant_size.currentText())\\r\\n\\r\\n with open('temp\\\\\\\\args.pkl', 'wb') as f:\\r\\n pickle.dump(\\r\\n [gr_station_path, sat_long, freq, max_eirp, sat_height, max_bw, bw_util,\\r\\n modcod, pol, roll_off, ant_eff, lnb_gain, lnb_temp, aditional_losses,\\r\\n cable_loss, max_depoint, availability_target, snr_relaxation, margin, threads], f)\\r\\n f.close()\\r\\n except:\\r\\n self.output_mp_ant_size.setText('Please fill all the fields before running!!!')\\r\\n return\\r\\n\\r\\n self.threadpool = QtCore.QThreadPool()\\r\\n self.threadpool.start(mp_ant_size)\\r\\n return\\r\\n\\r\\n def export_graph(self):\\r\\n import pickle\\r\\n from file_dialog import open_dialog\\r\\n from PIL import Image\\r\\n # open a file dialog and make it saves an png figure\\r\\n type = 'Portable Graphics Format(PNG) (*.png)'\\r\\n opt = 'save'\\r\\n open_dialog(opt, type)\\r\\n try:\\r\\n with open('temp\\\\\\\\' + opt + '.pkl', 'rb') as f:\\r\\n folder = pickle.load(f)\\r\\n f.close()\\r\\n except:\\r\\n folder = ''\\r\\n\\r\\n if folder != '':\\r\\n img = Image.open('temp\\\\\\\\fig.png')\\r\\n print(folder)\\r\\n # display(img)\\r\\n img.save(folder + '.png')\\r\\n\\r\\n def retranslateUi(self, MainWindow):\\r\\n _translate = QtCore.QCoreApplication.translate\\r\\n MainWindow.setWindowTitle(_translate(\\\"MainWindow\\\", \\\"SatLink\\\"))\\r\\n self.groupBox_9.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_31.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_54.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat.setItemText(1, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat.setItemText(4, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_55.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_56.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_59.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_60.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_61.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_64.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_65.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.label_66.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_7.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_2.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_3.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_gdstation.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_gdstation.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_gdstation.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_3.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_19.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_20.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_21.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_rcp.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_rcp.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_23.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency (%)\\\"))\\r\\n self.label_24.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_25.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_26.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_rcp.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_62.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.groupBox_12.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_38.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_69.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_2.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_2.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_2.setItemText(1, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_2.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_2.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_2.setItemText(4, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_70.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_78.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_79.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_91.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_92.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_93.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_94.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_2.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_2.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_2.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_95.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_17.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_2.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_2.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_18.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_22.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_39.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_gdstation_2.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_gdstation_2.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_gdstation_2.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_13.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_96.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_97.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_98.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_rcp_2.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_rcp_5.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_99.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency (%)\\\"))\\r\\n self.label_100.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_101.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_102.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_rcp_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_103.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.groupBox_14.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception\\\"))\\r\\n self.label_104.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_105.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.label_106.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_107.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.clear_reception_rcp_4.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.load_reception_rcp_6.setText(_translate(\\\"MainWindow\\\", \\\"Load Ground Station\\\"))\\r\\n self.load_reception_rcp_7.setText(_translate(\\\"MainWindow\\\", \\\"Load Reception\\\"))\\r\\n self.calc_spatm_2.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.groupBox_15.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_108.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_109.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n # self.default_sat_sp_perf_4.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_perf_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_perf_4.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_perf_4.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_110.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.pol_sat_4.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_4.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.label_111.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.load_reception_rcp_8.setText(_translate(\\\"MainWindow\\\", \\\"Load Satellite\\\"))\\r\\n self.p_year_spatm_2.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Values between 0.001 and 0.5\\\"))\\r\\n self.p_year_spatm_2.setText(_translate(\\\"MainWindow\\\", \\\"0.001\\\"))\\r\\n self.label_112.setText(_translate(\\\"MainWindow\\\", \\\"Excess % of time per year\\\"))\\r\\n self.label_113.setText(_translate(\\\"MainWindow\\\", \\\"Method\\\"))\\r\\n self.method_spatm_2.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Mode calculation for gaseous attenuation\\\"))\\r\\n self.method_spatm_2.setItemText(0, _translate(\\\"MainWindow\\\", \\\"approx\\\"))\\r\\n self.method_spatm_2.setItemText(1, _translate(\\\"MainWindow\\\", \\\"exact\\\"))\\r\\n self.groupBox_16.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_114.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_115.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_116.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_17.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_117.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_118.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_sp_ant_size.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_ant_size.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_ant_size.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_ant_size.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_119.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_120.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_121.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_122.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_123.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_124.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_125.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.label_126.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_127.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_sp_ant_size.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_sp_ant_size.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_sp_ant_size.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_18.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_128.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_130.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_131.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_132.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_133.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_134.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_135.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.calc_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.margin_sp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.margin_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.label_174.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.groupBox_41.setTitle(_translate(\\\"MainWindow\\\", \\\"Simulation ipunts and result\\\"))\\r\\n self.ant_max_size_sp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Maximun antenna size to be considered in calculations\\\"))\\r\\n self.ant_max_size_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"6\\\"))\\r\\n self.label_323.setText(_translate(\\\"MainWindow\\\", \\\"Ant. min size (m)\\\"))\\r\\n self.ant_min_size_sp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Minimum antenna size to be considered in calculations\\\"))\\r\\n self.ant_min_size_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"0.4\\\"))\\r\\n self.label_313.setText(_translate(\\\"MainWindow\\\", \\\"Ant. max size (m)\\\"))\\r\\n self.label_136.setText(_translate(\\\"MainWindow\\\", \\\"*availability values lower than 60% will be disconsidered\\\"))\\r\\n self.export_result_sp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Export graph\\\"))\\r\\n self.browse_path_mp_perf_2.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Browse list\\\"))\\r\\n self.browse_path_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Browse\\\"))\\r\\n self.label_137.setText(_translate(\\\"MainWindow\\\", \\\"Path\\\"))\\r\\n self.label_138.setText(_translate(\\\"MainWindow\\\", \\\"List Preview\\\"))\\r\\n self.groupBox_19.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_139.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_140.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_mp_perf_2.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_mp_perf_2.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_mp_perf_2.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_mp_perf_2.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_141.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_142.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_143.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_144.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_145.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_146.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_147.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_mp_perf_2.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_mp_perf_2.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_mp_perf_2.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_148.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_149.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_mp_perf_2.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_mp_perf_2.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_mp_perf_2.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_satellite_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_20.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_150.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_151.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_152.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_153.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_154.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_155.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_156.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_157.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.relaxation_mp_perf_2.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"0.2\\\"))\\r\\n self.calc_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_158.setText(_translate(\\\"MainWindow\\\", \\\"SNR goal relaxation (dB)\\\"))\\r\\n self.label_159.setText(_translate(\\\"MainWindow\\\", \\\"Threads\\\"))\\r\\n self.n_threads_2.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Thread number used in calcullations\\\"))\\r\\n self.label_160.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.margin_mp_perf_2.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Effective link budget margin\\\"))\\r\\n self.margin_mp_perf_2.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.groupBox_21.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_161.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_162.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_3.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_3.setItemText(4, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_163.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_164.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_165.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_166.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_167.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_168.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_169.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_170.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_171.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_5.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_5.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_5.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_22.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_172.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_175.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_176.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_gdstation_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_gdstation_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_gdstation_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_23.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_177.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_178.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_179.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_rcp_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_rcp_9.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_180.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency (%)\\\"))\\r\\n self.label_181.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_182.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_183.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_rcp_5.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_184.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.groupBox_24.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_186.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_187.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_4.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_4.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_4.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_4.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_4.setItemText(4, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_188.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_189.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_190.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_191.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_192.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_193.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_194.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_4.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_4.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_195.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_196.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_6.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_6.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_6.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_4.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_25.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_197.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_198.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_199.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_gdstation_4.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_gdstation_4.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_gdstation_4.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_26.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_200.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_201.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_202.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_rcp_4.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_rcp_10.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_203.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency (%)\\\"))\\r\\n self.label_204.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_205.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_206.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_rcp_6.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_207.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.groupBox_27.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception\\\"))\\r\\n self.label_208.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_209.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.label_210.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_211.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.clear_reception_rcp_7.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.load_reception_rcp_11.setText(_translate(\\\"MainWindow\\\", \\\"Load Ground Station\\\"))\\r\\n self.load_reception_rcp_12.setText(_translate(\\\"MainWindow\\\", \\\"Load Reception\\\"))\\r\\n self.calc_spatm_3.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.groupBox_28.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_212.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_213.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n # self.default_sat_sp_perf_5.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_perf_5.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_perf_5.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_perf_5.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_214.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.pol_sat_7.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_7.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_7.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.label_215.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.load_reception_rcp_13.setText(_translate(\\\"MainWindow\\\", \\\"Load Satellite\\\"))\\r\\n self.p_year_spatm_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Values between 0.001 and 0.5\\\"))\\r\\n self.p_year_spatm_3.setText(_translate(\\\"MainWindow\\\", \\\"0.001\\\"))\\r\\n self.label_216.setText(_translate(\\\"MainWindow\\\", \\\"Excess % of time per year\\\"))\\r\\n self.label_217.setText(_translate(\\\"MainWindow\\\", \\\"Method\\\"))\\r\\n self.method_spatm_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Mode calculation for gaseous attenuation\\\"))\\r\\n self.method_spatm_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"approx\\\"))\\r\\n self.method_spatm_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"exact\\\"))\\r\\n self.groupBox_29.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_218.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_219.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_220.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_30.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_221.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_222.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_sp_perf_6.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_perf_6.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_perf_6.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_perf_6.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_223.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_224.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_225.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_226.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_227.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_228.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_229.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_sp_perf_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_sp_perf_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_sp_perf_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_230.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_231.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_sp_perf_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_sp_perf_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_sp_perf_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_31.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_232.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_233.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_234.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_235.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_236.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_237.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_238.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.calc_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_239.setText(_translate(\\\"MainWindow\\\", \\\"SNR goal relaxation (dB)\\\"))\\r\\n self.relaxation_sp_perf_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"0.2\\\"))\\r\\n self.margin_sp_perf_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.margin_sp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.label_240.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.browse_path_mp_perf_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Browse list\\\"))\\r\\n self.browse_path_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Browse\\\"))\\r\\n self.label_241.setText(_translate(\\\"MainWindow\\\", \\\"Path\\\"))\\r\\n self.label_242.setText(_translate(\\\"MainWindow\\\", \\\"List Preview\\\"))\\r\\n self.groupBox_32.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_243.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_244.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_mp_perf_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_mp_perf_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_mp_perf_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_mp_perf_3.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_245.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_246.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_247.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_248.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_249.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_250.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_251.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_mp_perf_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_mp_perf_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_mp_perf_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_252.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_253.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_mp_perf_3.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_mp_perf_3.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_mp_perf_3.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_satellite_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_33.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_254.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_255.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_256.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_257.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_258.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_259.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_260.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_261.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.relaxation_mp_perf_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"0.2\\\"))\\r\\n self.calc_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_262.setText(_translate(\\\"MainWindow\\\", \\\"SNR goal relaxation (dB)\\\"))\\r\\n self.label_263.setText(_translate(\\\"MainWindow\\\", \\\"Threads\\\"))\\r\\n self.n_threads_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Thread number used in calcullations\\\"))\\r\\n self.label_264.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.margin_mp_perf_3.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Effective link budget margin\\\"))\\r\\n self.margin_mp_perf_3.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.groupBox_34.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception\\\"))\\r\\n self.label_265.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_266.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.label_267.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_268.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.clear_reception_rcp_8.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.load_reception_rcp_14.setText(_translate(\\\"MainWindow\\\", \\\"Load Ground Station\\\"))\\r\\n self.load_reception_rcp_15.setText(_translate(\\\"MainWindow\\\", \\\"Load Reception\\\"))\\r\\n self.calc_spatm_4.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.groupBox_35.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_269.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_270.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n # self.default_sat_sp_perf_7.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_perf_7.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_perf_7.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_perf_7.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_271.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.pol_sat_8.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_8.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_8.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.label_272.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.load_reception_rcp_16.setText(_translate(\\\"MainWindow\\\", \\\"Load Satellite\\\"))\\r\\n self.p_year_spatm_4.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Values between 0.001 and 0.5\\\"))\\r\\n self.p_year_spatm_4.setText(_translate(\\\"MainWindow\\\", \\\"0.001\\\"))\\r\\n self.label_273.setText(_translate(\\\"MainWindow\\\", \\\"Excess % of time per year\\\"))\\r\\n self.label_274.setText(_translate(\\\"MainWindow\\\", \\\"Method\\\"))\\r\\n self.method_spatm_4.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Mode calculation for gaseous attenuation\\\"))\\r\\n self.method_spatm_4.setItemText(0, _translate(\\\"MainWindow\\\", \\\"approx\\\"))\\r\\n self.method_spatm_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"exact\\\"))\\r\\n self.groupBox_36.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_275.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_276.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_277.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_37.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_278.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_279.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_sp_perf_8.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_perf_8.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_perf_8.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_perf_8.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_280.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_281.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_282.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_283.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_284.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_285.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_286.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.modcod_sat_sp_perf_4.setItemText(0, _translate(\\\"MainWindow\\\", \\\"QPSK 2/3\\\"))\\r\\n self.modcod_sat_sp_perf_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"8PSK 30/33\\\"))\\r\\n self.modcod_sat_sp_perf_4.setItemText(2, _translate(\\\"MainWindow\\\", \\\"64 QAM\\\"))\\r\\n self.label_287.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_288.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_sp_perf_4.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_sp_perf_4.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_sp_perf_4.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_38.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_289.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_290.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_291.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_292.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_293.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_294.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_295.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_296.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.calc_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_297.setText(_translate(\\\"MainWindow\\\", \\\"SNR goal relaxation (dB)\\\"))\\r\\n self.relaxation_sp_perf_4.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"0.2\\\"))\\r\\n self.margin_sp_perf_4.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.margin_sp_perf_4.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.label_298.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.browse_mp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Browse list\\\"))\\r\\n self.browse_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Browse\\\"))\\r\\n self.label_299.setText(_translate(\\\"MainWindow\\\", \\\"Path\\\"))\\r\\n self.label_300.setText(_translate(\\\"MainWindow\\\", \\\"List Preview\\\"))\\r\\n self.groupBox_39.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_301.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_302.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_mp_ant_size.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_mp_ant_size.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_mp_ant_size.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_mp_ant_size.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_303.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_304.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_305.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_306.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_307.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_308.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_309.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.label_310.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_311.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_mp_ant_size.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_mp_ant_size.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_mp_ant_size.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_40.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_312.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_314.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_315.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_316.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_317.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_318.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_319.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.relaxation_mp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"0.1\\\"))\\r\\n self.calc_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_320.setText(_translate(\\\"MainWindow\\\", \\\"SNR target relaxation (dB)\\\"))\\r\\n self.label_321.setText(_translate(\\\"MainWindow\\\", \\\"Threads\\\"))\\r\\n self.n_threads_mp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Thread number used in calcullations\\\"))\\r\\n self.label_322.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.margin_mp_ant_size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Effective link budget margin\\\"))\\r\\n self.margin_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.label_324.setText(_translate(\\\"MainWindow\\\", \\\"Availability target\\\"))\\r\\n self.availability_target_mp_ant_size.setText(_translate(\\\"MainWindow\\\", \\\"99.999\\\"))\\r\\n self.groupBox_7.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception\\\"))\\r\\n self.label_51.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_50.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.label_53.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_68.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.clear_reception_spatm.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.load_ground_station_spatm.setText(_translate(\\\"MainWindow\\\", \\\"Load Ground Station\\\"))\\r\\n self.load_reception_spatm.setText(_translate(\\\"MainWindow\\\", \\\"Load Reception\\\"))\\r\\n self.calc_spatm.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.groupBox_8.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_52.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_57.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n # self.default_sat_spatm.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_spatm.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_spatm.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_spatm.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_63.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.pol_sat_spatm.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_spatm.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_spatm.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.label_8.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.load_sat_spatm.setText(_translate(\\\"MainWindow\\\", \\\"Load Satellite\\\"))\\r\\n self.p_year_spatm.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Values between 0.001 and 0.5\\\"))\\r\\n self.p_year_spatm.setText(_translate(\\\"MainWindow\\\", \\\"0.001\\\"))\\r\\n self.label_58.setText(_translate(\\\"MainWindow\\\", \\\"Excess % of time per year\\\"))\\r\\n self.label_9.setText(_translate(\\\"MainWindow\\\", \\\"Method\\\"))\\r\\n self.method_spatm.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Mode calculation for gaseous attenuation\\\"))\\r\\n self.method_spatm.setItemText(0, _translate(\\\"MainWindow\\\", \\\"approx\\\"))\\r\\n self.method_spatm.setItemText(1, _translate(\\\"MainWindow\\\", \\\"exact\\\"))\\r\\n self.groupBox_4.setTitle(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.label_27.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_28.setText(_translate(\\\"MainWindow\\\", \\\"Latitude (degrees)\\\"))\\r\\n self.label_29.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_ground_station_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_ground_station_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.clear_ground_station_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_5.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_30.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_32.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_sp_perf.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_sp_perf.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_sp_perf.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_sp_perf.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_33.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_34.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_35.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_36.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_37.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_40.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_41.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.label_42.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_6.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_sp_perf.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_sp_perf.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_sp_perf.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_sat_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_6.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_43.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_44.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_45.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_46.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_47.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_48.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_49.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_67.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.calc_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_4.setText(_translate(\\\"MainWindow\\\", \\\"SNR target relaxation (dB)\\\"))\\r\\n self.relaxation_sp_perf.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"0.1\\\"))\\r\\n self.margin_sp_perf.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.margin_sp_perf.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.label_173.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.browse_path_mp_perf.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Browse list\\\"))\\r\\n self.browse_path_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Browse\\\"))\\r\\n self.label_10.setText(_translate(\\\"MainWindow\\\", \\\"Path\\\"))\\r\\n self.label_11.setText(_translate(\\\"MainWindow\\\", \\\"List Preview\\\"))\\r\\n self.groupBox_10.setTitle(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.label_71.setText(_translate(\\\"MainWindow\\\", \\\"Name\\\"))\\r\\n self.label_72.setText(_translate(\\\"MainWindow\\\", \\\"Longitude (degrees)\\\"))\\r\\n self.save_sat_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_sat_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n # self.default_sat_mp_perf.setItemText(0, _translate(\\\"MainWindow\\\", \\\"StarOne C2/C4\\\"))\\r\\n # self.default_sat_mp_perf.setItemText(1, _translate(\\\"MainWindow\\\", \\\"Hispamar\\\"))\\r\\n # self.default_sat_mp_perf.setItemText(2, _translate(\\\"MainWindow\\\", \\\"Claro\\\"))\\r\\n # self.default_sat_mp_perf.setItemText(3, _translate(\\\"MainWindow\\\", \\\"Menino Ney\\\"))\\r\\n self.label_73.setText(_translate(\\\"MainWindow\\\", \\\"Default Satellites\\\"))\\r\\n self.label_74.setText(_translate(\\\"MainWindow\\\", \\\"Altitude (km)\\\"))\\r\\n self.label_75.setText(_translate(\\\"MainWindow\\\", \\\"E.I.R.P. (dBW)\\\"))\\r\\n self.label_76.setText(_translate(\\\"MainWindow\\\", \\\"Transpoder\\\\'s max.\\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_77.setText(_translate(\\\"MainWindow\\\", \\\"Effective \\\\n\\\"\\r\\n\\\"bandwidith (MHz)\\\"))\\r\\n self.label_80.setText(_translate(\\\"MainWindow\\\", \\\"Roll-off\\\"))\\r\\n self.label_81.setText(_translate(\\\"MainWindow\\\", \\\"Modulation\\\"))\\r\\n self.label_82.setText(_translate(\\\"MainWindow\\\", \\\"Frequency (GHz)\\\"))\\r\\n self.label_12.setText(_translate(\\\"MainWindow\\\", \\\"Polarization\\\"))\\r\\n self.pol_sat_mp_perf.setItemText(0, _translate(\\\"MainWindow\\\", \\\"horizontal\\\"))\\r\\n self.pol_sat_mp_perf.setItemText(1, _translate(\\\"MainWindow\\\", \\\"vertical\\\"))\\r\\n self.pol_sat_mp_perf.setItemText(2, _translate(\\\"MainWindow\\\", \\\"circular\\\"))\\r\\n self.clear_satellite_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.groupBox_11.setTitle(_translate(\\\"MainWindow\\\", \\\"Reception Characteristics\\\"))\\r\\n self.label_83.setText(_translate(\\\"MainWindow\\\", \\\"Name:\\\"))\\r\\n self.label_84.setText(_translate(\\\"MainWindow\\\", \\\"Antenna size (m)\\\"))\\r\\n self.label_85.setText(_translate(\\\"MainWindow\\\", \\\"LNB gain (dB)\\\"))\\r\\n self.save_reception_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Save\\\"))\\r\\n self.load_reception_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Load\\\"))\\r\\n self.label_86.setText(_translate(\\\"MainWindow\\\", \\\"Antenna efficiency\\\"))\\r\\n self.label_87.setText(_translate(\\\"MainWindow\\\", \\\"LNB noise temp. (K)\\\"))\\r\\n self.label_88.setText(_translate(\\\"MainWindow\\\", \\\"Additional losses (dB)\\\"))\\r\\n self.label_89.setText(_translate(\\\"MainWindow\\\", \\\"Maximum \\\\n\\\"\\r\\n\\\"depointing (degrees)\\\"))\\r\\n self.clear_reception_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Clear\\\"))\\r\\n self.label_90.setText(_translate(\\\"MainWindow\\\", \\\"Cable loss (dB)\\\"))\\r\\n self.relaxation_mp_perf.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Goal (+ -) margin to achieve the required SNR\\\"))\\r\\n self.relaxation_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"0.1\\\"))\\r\\n self.calc_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"Calculate\\\"))\\r\\n self.label_14.setText(_translate(\\\"MainWindow\\\", \\\"SNR target relaxation (dB)\\\"))\\r\\n self.label_15.setText(_translate(\\\"MainWindow\\\", \\\"Threads\\\"))\\r\\n self.n_threads_mp_perf.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Thread number used in calcullations\\\"))\\r\\n self.label_16.setText(_translate(\\\"MainWindow\\\", \\\"Margin (dB)\\\"))\\r\\n self.margin_mp_perf.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Effective link budget margin\\\"))\\r\\n self.margin_mp_perf.setText(_translate(\\\"MainWindow\\\", \\\"0\\\"))\\r\\n self.menuNew.setTitle(_translate(\\\"MainWindow\\\", \\\"File\\\"))\\r\\n self.menuCalculation.setTitle(_translate(\\\"MainWindow\\\", \\\"Single Point Calculation\\\"))\\r\\n self.menuList_Calculation.setTitle(_translate(\\\"MainWindow\\\", \\\"List Calculation\\\"))\\r\\n self.menuHelp.setTitle(_translate(\\\"MainWindow\\\", \\\"Help\\\"))\\r\\n self.action_New_Satellite.setText(_translate(\\\"MainWindow\\\", \\\"Satellite\\\"))\\r\\n self.action_New_Satellite.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Define and save a new satellite to use in calculations\\\"))\\r\\n self.actionReception.setText(_translate(\\\"MainWindow\\\", \\\"Reception\\\"))\\r\\n self.actionReception.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Define and save new reception characteristics to use in calculations\\\"))\\r\\n self.action_New_Ground_Station.setText(_translate(\\\"MainWindow\\\", \\\"Ground Station\\\"))\\r\\n self.action_New_Ground_Station.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Define and save a new ground station to use in calculations\\\"))\\r\\n self.action_Single_Atmospheric_Atenuation.setText(_translate(\\\"MainWindow\\\", \\\"Atmospheric Atenuation\\\"))\\r\\n self.action_Single_Atmospheric_Atenuation.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Complete single point atmospheric attenuation calculation\\\"))\\r\\n self.action_Single_Downlink_Performance.setText(_translate(\\\"MainWindow\\\", \\\"Downlink Performance\\\"))\\r\\n self.action_Single_Downlink_Performance.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Complete single point downlink performance calculation\\\"))\\r\\n self.action_List_Downlink_Performance.setText(_translate(\\\"MainWindow\\\", \\\"Downlink Performance\\\"))\\r\\n self.action_List_Downlink_Performance.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Complete multi point (list) downlink performance calculation\\\"))\\r\\n self.action_Single_Antenna_Size.setText(_translate(\\\"MainWindow\\\", \\\"Antenna Size\\\"))\\r\\n self.action_Single_Antenna_Size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Single point downlink antenna diameter extimation\\\"))\\r\\n self.action_List_Antenna_Size.setText(_translate(\\\"MainWindow\\\", \\\"Antenna Size\\\"))\\r\\n self.action_List_Antenna_Size.setStatusTip(_translate(\\\"MainWindow\\\", \\\"Multi point (list) downlink antenna diameter extimation\\\"))\\r\\n\\r\\n\\r\\nif __name__ == \\\"__main__\\\":\\r\\n import sys, os, glob\\r\\n if not os.path.exists('results'):\\r\\n os.makedirs('results')\\r\\n if not os.path.exists('temp'):\\r\\n os.makedirs('temp')\\r\\n files = glob.glob('temp/*')\\r\\n for f in files:\\r\\n os.remove(f)\\r\\n os.environ[\\\"QT_AUTO_SCREEN_SCALE_FACTOR\\\"] = '1'\\r\\n QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling, True) # enable high dpi scaling\\r\\n QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_UseHighDpiPixmaps, True) # use high dpi icons\\r\\n app = QtWidgets.QApplication(sys.argv)\\r\\n MainWindow = QtWidgets.QMainWindow()\\r\\n ui = Ui_MainWindow()\\r\\n ui.setupUi(MainWindow)\\r\\n thread = QtCore.QThread(MainWindow.show())\\r\\n thread.start()\\r\\n sys.exit(app.exec_())\\r\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":23,"string":"23"}}},{"rowIdx":2984194,"cells":{"repo_name":{"kind":"string","value":"Mik-el/Data-Mining-in-Python-Examples"},"repo_url":{"kind":"string","value":"https://github.com/Mik-el/Data-Mining-in-Python-Examples"},"snapshot_id":{"kind":"string","value":"3475f78c258c6f59caf924adf4155a5ca71f4d33"},"revision_id":{"kind":"string","value":"0e2de252107d79e1e44d9b0980d2e2c375869ed5"},"directory_id":{"kind":"string","value":"521ca19aa255fb1c7fceba08043ed54866c24fe2"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-12-02T19:26:39.944543","string":"2022-12-02T19:26:39.944543"},"revision_date":{"kind":"timestamp","value":"2020-08-04T15:33:06","string":"2020-08-04T15:33:06"},"committer_date":{"kind":"timestamp","value":"2020-08-04T15:33:06","string":"2020-08-04T15:33:06"},"github_id":{"kind":"number","value":243300935,"string":"243,300,935"},"star_events_count":{"kind":"number","value":1,"string":"1"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6820825934410095,"alphanum_fraction":0.6969168186187744,"avg_line_length":40.44444274902344,"blob_id":"9366a53ac4861f0aeb332fcdbcb471b5008bc03b","content_id":"ed2dd468c83c1fe9387400af510aa70ef881e518","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3440,"license_type":"no_license","max_line_length":136,"num_lines":81,"path":"/siadm/Sia2.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\npd.options.mode.chained_assignment = None #\r\n\r\nimport time #time e datetime per operazioni sulle date\r\nimport datetime\r\nimport numpy as np\r\n\r\n\r\ndataFrame = pd.read_excel(\"SIA_DM.xls\")\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\n# RICHIESTA 2) verificare se le date di nascita contengono valori improbabili (possibili\r\n#valori sconosciuti!!)\r\nprint('\\n **********\\n Verificare se le date di nascita contengono valori improbabili \\n **********\\n ')\r\n\r\n# Come è possibile notare tra le informazioni del data frame, non sono presenti valori nulli.\r\n\r\n\r\n\r\n#****DATE NON VALIDE\r\n# Dunque si procede alla verifica di valori errati.\r\n# In caso di errore nel campo data, questo verrà rimpiazzato da una data media\r\nerr_count = 0\r\nidx = 0\r\nerr_idx_list = [] # lista utile a mantene in memoria gli indici corrispondenti ai valori errati\r\ndate_tmp_list = [] # lista utile a memorizzare le date per l'eventuale calcolo della media delle date\r\nfor tmp in dataFrame['Birthdate']:\r\n try:\r\n date_tmp_list.append(pd.to_datetime(tmp))\r\n idx = idx + 1\r\n except:\r\n print('Dato errato nell\\'istanza numero', idx)\r\n err_idx_list.append(idx)\r\n err_count = err_count + 1\r\n idx = idx + 1\r\n\r\n# Calcolo la data media per eventuali rimpiazzi\r\nmeanDate = (np.array(date_tmp_list, dtype='datetime64[s]').view('i8').mean().astype('datetime64[s]'))\r\n\r\n# In caso di date errate si procede al rimpiazzo delle stesse con la data media\r\nif err_count != 0:\r\n print('Esistono', err_count, 'date non corrette che verranno sostituite con la data media')\r\n for i in err_idx_list:\r\n # Stampa le istanze con le date non corrette\r\n display(dataFrame[dataFrame['Customer'] == i+1])\r\n dataFrame.loc[i,'Birthdate'] = meanDate\r\nelse:\r\n print('Tutte le date sono sintatticamente corrette')\r\n \r\n\r\n# Una volta azzerati i dati errati, si procede con la conversione in \"datetime64\" per poter effettuare\r\n# altre operazioni sulle date utili ai fini di altre verifiche\r\ndataFrame['Birthdate'] = pd.to_datetime(dataFrame['Birthdate'])\r\ndisplay(dataFrame.head())\r\n\r\n\r\n\r\n\r\n\r\n#****DATE IMPROBABILI\r\n# ***clienti che abbiano la data di nascita a partire dal 1900.\r\n# da 01-01-1900 ad oggi \r\n# Si crea una vista del data frame a tele scopo (df)\r\nprint('\\n **********\\n Si suppone di voler analizzare dati di clienti che abbiano la data di nascita a partire dal 1900.')\r\nprint('Dunque si assumono \"probabili\" solo date che ricadono nell\\'intervallo temporale che va dal 01-01-1900 ad oggi. \\n **********\\n')\r\ndf = dataFrame[(dataFrame['Birthdate'] > time.strftime(\"%d/%m/%Y\")) | (dataFrame['Birthdate'] < datetime.datetime(1900, 1, 1))]\r\ntotal_err_date = df['Birthdate'].size\r\n\r\n# Visualizza le istanze che non ricadono nell'intervallo di interesse\r\nprint('Le istanze che non ricadono nel range ricercato sono:', total_err_date)\r\ndisplay(df)\r\n# Rimpiazzo le date improbabili con una data media.\r\n# Essendo 'df' una vista sul data frame principale (dataFrame), i rimpiazzi effettuati hanno effetto su 'dataFrame'.\r\ndf.loc[((df['Birthdate'] > time.strftime(\"%d/%m/%Y\")) | (df['Birthdate'] < datetime.datetime(1900, 1, 1))), 'Birthdate'] = meanDate\r\nprint('Le istanze con i valori improbabili sono stati rimpiazzati con una data media')\r\ndisplay(df)\r\n\r\nprint('Si nota ovviamente che il campo \"\"age\" non combacia con la data di nascita')"},{"alpha_fraction":0.7027027010917664,"alphanum_fraction":0.7227227091789246,"avg_line_length":35.074073791503906,"blob_id":"9fe4827cbf42d0183fe12df26d30b4757ca40c59","content_id":"4406d307c41e69e0e3b4c3dcb13b549539c5f90e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":999,"license_type":"no_license","max_line_length":108,"num_lines":27,"path":"/Posti Letto/esPostiLetto4.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"# NUMERO DI LETTI PER REGIONE (IN UN ANNO)\r\n#Raggruppo il conteggio dei letti per regione con il metodo groupBy, poi li sommo con sum.\r\n\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\ndati = pd.read_csv('posti_letto.csv', sep=';')\r\ndati = dati.convert_objects(convert_numeric=True)\r\n\r\n#dataset anno contenente solo voci relative all' anno 2014\r\nanno2013 = dati[dati['Anno'] == 2013]\r\n\r\n#del dataframe ci interessa solo la regione e il numero di posti letto \r\nlettiPerRegione = anno2013[ ['Descrizione Regione', 'Totale posti letto'] ].groupby('Descrizione Regione')\r\n\r\n\r\n#dataframe ottenuto ordinando e sommando tutti i valori i postiletti relativi al dataset \r\nrisultato = lettiPerRegione.sum().sort_values('Totale posti letto')\r\n\r\n\r\nprint (\"\\n **********\\n Posti letto per regione nell' anno 2013: \\n *********\\n\")\r\n#invocando .plot.barh() sul dataset otteniamo un diagramma a barre orizziontali\r\nrisultato.plot.barh()\r\n\r\n#invocando .show() su plt lo stampiamo\r\n#plt.show()"},{"alpha_fraction":0.6897952556610107,"alphanum_fraction":0.6981598138809204,"avg_line_length":39.15737533569336,"blob_id":"11b9a1db6a442ca17f12eb388155789661ec7d59","content_id":"059715ab3f6dd5bc69bc84aeb39dd6a883ae53a8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":12577,"license_type":"no_license","max_line_length":136,"num_lines":305,"path":"/Nursery/esNursery.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"\r\nimport pandas as pd\r\nimport numpy as np\r\nimport seaborn as sns\r\nimport matplotlib.pyplot as plt\r\nimport time\r\n\r\nfrom sklearn.decomposition import PCA\r\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\r\n\r\nfrom sklearn.linear_model import LogisticRegression\r\nfrom sklearn.svm import SVC\r\nfrom sklearn.neighbors import KNeighborsClassifier\r\nfrom sklearn import tree\r\nfrom sklearn.neural_network import MLPClassifier\r\nfrom sklearn.ensemble import GradientBoostingClassifier\r\nfrom sklearn.tree import DecisionTreeClassifier\r\nfrom sklearn.gaussian_process.kernels import RBF\r\nfrom sklearn.ensemble import RandomForestClassifier\r\nfrom sklearn.naive_bayes import GaussianNB\r\n\r\n\r\ndata = pd.read_csv(\"nursery.csv\", sep=';')\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\nprint (\"\\n **********\\n Stampa delle prime 5 righe del dataset: \\n *********\\n\")\r\ndisplay(data.head()) \r\nprint (\"\\n **********\\n Stampa delle statistiche descrittive: \\n *********\\n\")\r\ndisplay(data.describe())\r\nprint (\"\\n **********\\n Numero totale di dati e di attributi: \\n *********\\n\")\r\nprint(data.shape)\r\n\r\n\r\n#PREPROCESSING\r\n#data= data.convert_objects(convert_numeric=True)\r\n\r\n# non ci sono dati mancanti. Parò ci sono molti dati \r\n# categoriali che vanno trasformati in numerici mediante la discretizzazione.\r\ndef label_encode(df, columns):\r\n for col in columns:\r\n le = LabelEncoder()\r\n col_values_unique = list(df[col].unique())\r\n le_fitted = le.fit(col_values_unique)\r\n \r\n col_values = list(df[col].values)\r\n le.classes_\r\n col_values_transformed = le.transform(col_values)\r\n df[col] = col_values_transformed\r\n \r\ndata = data.copy(deep=True)\r\nto_be_encoded_cols = data.columns.values\r\nlabel_encode(data, to_be_encoded_cols)\r\n\r\nprint (\"\\n **********\\n Stampa delle prime 5 righe del dataset dopo il pre-processing: \\n *********\\n\")\r\ndisplay(data.head()) \r\nprint (\"\\n **********\\n Stampa delle statistiche descrittive dopo il pre-processing: \\n *********\\n\")\r\ndisplay(data.describe())\r\n\r\n# Creo un nuovo file csv dove ci copio il dataset processato\r\nf = open(\"nursery2.csv\", \"a\")\r\ndata.to_csv('nursery2.csv', index = False ) #false= non scrive i nomi delle righe\r\nf.close()\r\n\r\n\r\n\r\n#ANALISI GRAFICA\r\n\"\"\"print (\"\\n **********\\n Grafico dopo il preprocessing: \\n *********\\n\")\r\ndata.plot( kind='barh', x='children', y='has_nurs' )\r\nplt.show()\r\n\"\"\"\r\n\r\n\"\"\"\r\nprint (\"\\n **********\\n Stampa istogramma con 30 colonne \\n *********\\n\")\r\nistogramma = data.hist(bins=30)\r\n\r\nistogramma.set_title('Relazione tra numero di bambini e presenza infermiera')\r\nistogramma.set_xlabel('Numero letti')\r\nistogramma.set_ylabel('Numero ospedali')\r\n\r\nplt.show()\r\n\"\"\"\r\n\r\n\r\n\r\n# ANALISI DEI DATI\r\n# Per ottenere maggiori informazioni su come ogni caratteristica è correlata con la Variabile Target, \r\n# possiamo calcolare e tracciare la matrice di correlazione delle features per il dataset.\r\n# La matrice di correlazione mostra le variabili fortemente correlate con la variabile target, che nel nostro caso\r\n# è la variabile 'class', è 'healt' (condizione di salute).\r\n# uso il metodo .corr\r\ncorrelation_matrix = data.corr()\r\nplt.figure(figsize=(50,20))\r\nax = sns.heatmap(correlation_matrix, vmax=1, square=True, \r\n annot=True, fmt='.2f', cmap='GnBu', cbar_kws={\"shrink\":.5}, robust=True)\r\nplt.title('Matrice di correlazione delle features', fontsize=20)\r\nplt.show()\r\n \r\n\r\n# Una matrice di correlazione è un buon modo per ottenere un quadro generale di come tutte le funzionalità nel set di \r\n# dati siano correlate tra loro. Per un set di dati con molte funzionalità potrebbe diventare molto grande e la \r\n# correlazione di una singola funzione con le altre caratteristiche diventa difficile da discernere.\r\n#Se vogliamo esaminare le correlazioni di una singola funzione, di solito è un'idea migliore visualizzarla sotto forma di grafico \r\n# a barre.\r\n\r\ndef display_corr_with_col(df, col):\r\n correlation_matrix = data.corr()\r\n correlation_type = correlation_matrix[col].copy()\r\n abs_correlation_type = correlation_type.apply(lambda x: abs(x))\r\n desc_corr_values = abs_correlation_type.sort_values(ascending=False)\r\n y_values = list(desc_corr_values.values)[1:]\r\n x_values = range(0, len(y_values))\r\n xlabels = list(desc_corr_values.keys())[1:]\r\n fig, ax = plt.subplots(figsize=(8,8))\r\n ax.bar(x_values, y_values)\r\n ax.set_title('Correlazione delle features con {}' .format(col), fontsize=20)\r\n ax.set_ylabel('Coefficiente di correlazione di Pearson', fontsize=16)\r\n plt.xticks(x_values, xlabels, rotation='vertical')\r\n plt.show()\r\n \r\ndisplay_corr_with_col(data, 'class')\r\n\r\n# Con il grafico a barre ritrovo gli stessi risultati della matrice di correlazione.\r\n\r\n\r\n\r\n\r\n# CLASSIFICAZIONE E VALIDAZIONE\r\n# Costruzione modello di apprendimento automatico: ora verranno formati diversi modelli di Machine Learning e verranno \r\n# confrontati i loro risultati.\r\n\r\n#Divisione tra Train test e Set Test\r\ndef get_train_test(df, y_col, x_cols, ratio):\r\n \"\"\"\r\n Questo metodo trasforma il dataframe in un TRAIN set e in un TEST set, per questo bisogna specificare:\r\n 1. il ratio train: test(in genere 0.7)\r\n 2. la colonna con le Y_values\r\n \"\"\"\r\n mask = np.random.rand(len(df)) < ratio\r\n df_train = df[mask]\r\n df_test = df[~mask]\r\n \r\n Y_train = df_train[y_col].values\r\n Y_test = df_test[y_col].values\r\n X_train = df_train[x_cols].values\r\n X_test = df_test[x_cols].values\r\n return df_train, df_test, X_train, Y_train, X_test, Y_test\r\n\r\ny_col_glass = 'class'\r\nx_cols_glass = list(data.columns.values)\r\nx_cols_glass.remove(y_col_glass)\r\n\r\ntrain_test_ratio = 0.7\r\ndf_train, df_test, X_train, Y_train, X_test, Y_test = get_train_test(data, y_col_glass, x_cols_glass, train_test_ratio)\r\n\r\n\r\n# Affinchè io possa testare + classificatori, creo un dizionario \r\n# esso è fatto in modo che CHIAVI= nome dei classificatori\r\n# VALORI = istanze dei classificatori.\r\ndict_classifier = {\r\n \"Logistic Regression\": LogisticRegression(),\r\n \"Nearest Neighbors\": KNeighborsClassifier(3),\r\n \"Linear SVM\": SVC(kernel=\"linear\", C=0.025),\r\n \"Gradient Boosting Classifier\": GradientBoostingClassifier(n_estimators=10),\r\n \"Decision Tree\": tree.DecisionTreeClassifier(max_depth=5),\r\n \"Random Forest\": RandomForestClassifier(max_depth=5, n_estimators=10, max_features=1),\r\n \"Naive Bayes\": GaussianNB() \r\n}\r\n\r\n\r\ndef batch_classify(X_train, Y_train, X_test, Y_test, no_classifiers=5, verbose=True):\r\n \r\n dict_models = {} #Scorro il dizionario dei classificatori\r\n for classifier_name, classifier in list(dict_classifier.items())[:no_classifiers]:\r\n t_start = time.clock() #Modulo temporale per tenere traccia del tempo necessario ad addestrare il classificatore\r\n classifier.fit(X_train, Y_train) #Allena il classificatore\r\n t_end = time.clock()\r\n \r\n t_diff = t_end - t_start\r\n train_score = classifier.score(X_train, Y_train) #Scelta del classificatore sul set di allenamento\r\n test_score = classifier.score(X_test, Y_test) #Esegue il classificatore sul set di test\r\n \r\n dict_models[classifier_name] = {'model': classifier, 'train_score': train_score, 'test_score': test_score, 'train_time': t_diff}\r\n if verbose:\r\n print(\"trained {c} in {f:.2f} s\" .format(c=classifier_name, f=t_diff))\r\n return dict_models\r\n\r\n\r\n\r\n#\r\ndef display_dict_models(dict_models, sort_by='test_score'):\r\n cls = [key for key in dict_models.keys()]\r\n test_s = [dict_models[key]['test_score'] for key in cls]\r\n training_s = [dict_models[key]['train_score'] for key in cls]\r\n training_t = [dict_models[key]['train_time'] for key in cls]\r\n \r\n df_ = pd.DataFrame(data = np.zeros(shape=(len(cls),4)), columns = ['classifier','train_score','test_score','train_time'])\r\n for ii in range(0,len(cls)):\r\n df_.loc[ii,'classifier'] = cls[ii]\r\n df_.loc[ii,'train_score'] = training_s[ii]\r\n df_.loc[ii,'test_score'] = test_s[ii]\r\n df_.loc[ii,'train_time'] = training_t[ii]\r\n \r\n display(df_.sort_values(by=sort_by, ascending=False))\r\n \r\n# VALUTAZIONE CLASSIFICATORI\r\n# Dopo la definizione dei singoli classificatori è stata fatta una valutazione degli stessi al fine di individuarne \r\n# il migliore.\r\n\r\n# CLASSIFICATORE K-NEIGHBORS\r\nknn = KNeighborsClassifier(n_neighbors = 3)\r\nknn.fit(X_train, Y_train)\r\nY_pred = knn.predict(X_test)\r\nacc_knn = round(knn.score(X_train, Y_train) * 100, 2)\r\n\r\n# CLASSIFICATORE DECISION TREE\r\ndecision_tree = DecisionTreeClassifier()\r\ndecision_tree.fit(X_train, Y_train)\r\nY_pred = decision_tree.predict(X_test)\r\nacc_decision_tree = round(decision_tree.score(X_train, Y_train) * 100, 2)\r\n\r\n# CLASSIFICATORE RANDOM FOREST\r\nrandom_forest = RandomForestClassifier(n_estimators=1000)\r\nrandom_forest.fit(X_train, Y_train)\r\nY_pred = random_forest.predict(X_test)\r\nrandom_forest.score(X_train, Y_train)\r\nacc_random_forest = round(random_forest.score(X_train, Y_train) * 100, 2)\r\n\r\n# CLASSIFICATORE GAUSSIAN (NAIVE BAYES)\r\ngaussian = GaussianNB()\r\ngaussian.fit(X_train, Y_train)\r\nY_pred = gaussian.predict(X_test)\r\nacc_gaussian = round(gaussian.score(X_train, Y_train) * 100, 2)\r\n\r\nresults = pd.DataFrame({\r\n \r\n 'Model':['Nearest Neighbors','Decision Tree',\r\n 'Random Forest','Naive Bayes'],\r\n 'Score':[acc_knn, acc_decision_tree,\r\n acc_random_forest, acc_gaussian]})\r\nresult_df = results.sort_values(by='Score', ascending=False)\r\nresult_df = result_df.set_index('Score')\r\nresult_df.head(8)\r\nprint (results)\r\n# Come è possibile notare i Classificatori Random Forest e Decision Tree hanno una percentutale del 100%, quindi sono \r\n# quelli più adatti a fare una valutazione\r\n#??? NON VEDO NESSUN OUTPUT\r\n\r\n\r\n\r\n#CROSS VALIDATION per Random Forest.\r\n#Per valutare il classificatore è stata fatta un’ulteriore verifica \r\n#applicando una convalida incrociata.\r\n#Il Cross Validation divide casualmente il train set in k sottoinsiemi chiamati folds.\r\n#Se dividessi i dati in 10 folds(K = 10),il modello del classificatore verrebbe \r\n# addestrato e valutato 10 volte, usando ogni volta 9 fold da train test e 1 fold da test set \r\n#Pertanto ottengo un array con 10 punteggi diversi.\r\nprint (\"\\n **********\\n Risultati cross validation \\n *********\\n\")\r\nfrom sklearn.model_selection import cross_val_score\r\nrf = RandomForestClassifier(n_estimators=100)\r\nscores = cross_val_score(rf, X_train, Y_train, cv=10, scoring = \"accuracy\")\r\nprint(\"Punteggio: \", scores)\r\nprint(\"Media: \", scores.mean())\r\nprint(\"Deviazione standard: \", scores.std())\r\n\r\n# Come si può osservare dall'output il modello usato (Random Forest) ha una precisione media del 94% con una deviazione \r\n# standard del 0.06%,che ci mostra, quanto precise sono le stime. Ciò significa che la precisione del nostro modello \r\n# può variare di +/- 0.06%. Dunque, a seguito di questa verifica, la precisione continua ad essere ancora buona per cui \r\n# nelle fasi successive si proverà a migliorare ulteriormente le prestazioni del Random Forest.\r\n\r\n\r\n# Matrice di Confusione per Random Forest\r\nfrom sklearn.model_selection import cross_val_predict\r\nfrom sklearn.metrics import confusion_matrix\r\npredictions = cross_val_predict(random_forest, X_train, Y_train, cv=3)\r\nconfusion_matrix(Y_train, predictions)\r\n\r\n# PRECISIONE E RECALL (per il random forest)\r\nfrom sklearn.metrics import precision_score, recall_score\r\nprint(\"Precision: \", precision_score(Y_train, predictions))\r\nprint(\"Recall: \", recall_score(Y_train, predictions))\r\n\r\n\r\n\"\"\"\r\n# Ora invece CROSS VALIDATION per Decision Tree\r\nfrom sklearn.model_selection import cross_val_score\r\nrf = DecisionTreeClassifier()\r\nscores = cross_val_score(rf, X_train, Y_train, cv=10, scoring = \"accuracy\")\r\nprint(\"Scores: \", scores)\r\nprint(\"Mean: \", scores.mean())\r\nprint(\"Standard deviation: \", scores.std())\r\n\r\n# Abbiamo all'incirca gli stessi risultati del Random Forest per quanto riguarda la deviazione standard (0.04%), mentre\r\n# la precisione media è del 96%, quindi molto più accurato del Random Forest.\r\n\r\n\r\n# Matrice di Confusione per Decision Tree\r\nfrom sklearn.model_selection import cross_val_predict\r\nfrom sklearn.metrics import confusion_matrix\r\npredictions = cross_val_predict(decision_tree, X_train, Y_train, cv=3)\r\nconfusion_matrix(Y_train, predictions)\r\n\r\n# PRECISION E RECALL\r\nfrom sklearn.metrics import precision_score, recall_score\r\nprint(\"Precision: \", precision_score(Y_train, predictions))\r\nprint(\"Recall: \", recall_score(Y_train, predictions))\r\n\"\"\""},{"alpha_fraction":0.6689956188201904,"alphanum_fraction":0.6742358207702637,"avg_line_length":34.78125,"blob_id":"3aadf63ced96c3106a6a256622cc507a067cafd9","content_id":"3d367159a827220d2011a33fea4c2238c090918b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":1145,"license_type":"no_license","max_line_length":177,"num_lines":32,"path":"/README.md","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"# Data-Mining-in-Python-Examples\n## Disclaimer\n1) The codes I'm sharing contain comments and variable names in italian. (but maybe you'll result to understand since the codes are quite easy). \n2) The codes could have errors. If you find them you can use Github you can fix the code. Thank you!\n\n## What is Data Mining\nIt's the the set of techniques and methodologies which have as their object the extraction of useful information from large quantities of data (databases, data warehouses, etc.)\n\n## What you can find in this Repo\nYou'll learn how to work in Python on given datasets in \"excel\" format (.csv).\nYou'll mostly use the Pandas Library.\n\n## How to Support me\n| | |\n| ------ | ------ |\n| Telegram Channel | [link][tg] |\n| XDA Forum | [link][xda] |\n| Tech Blog | [link][cam] |\n| Instagram | [link][insta] |\n| Youtube | [link][yt] |\n\n<a href=\"https://paypal.me/donationMikel\">\n <img src=\"images/donate_icon.png\"\n alt=\"closeup\"\n width=\"250\"/></a>\n \n \n[xda]: <http://bit.ly/2NBnhqB>\n[insta]: <http://bit.ly/mikel_insta>\n[yt]: <http://bit.ly/mikel_YT>\n[cam]:<https://cam.tv/mik_el_tech>\n[tg]:<https://bit.ly/Mikel_TG>\n"},{"alpha_fraction":0.655978262424469,"alphanum_fraction":0.664673924446106,"avg_line_length":22.50666618347168,"blob_id":"75672d1d9e54000636173ff474380faea9b185d4","content_id":"3378731e8fc8e4dcce8a79ff67cb0157ab6eaecf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1845,"license_type":"no_license","max_line_length":97,"num_lines":75,"path":"/siadm/Sia1.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"\r\n#Il file SIA_DM.XLS contiene i dati di 1500 clienti di un azienda\r\n\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\npd.options.mode.chained_assignment = None #\r\n\r\nimport time #time e datetime per operazioni sulle date\r\nimport datetime\r\nimport numpy as np\r\n\r\n\r\n\r\n\r\n\r\n\r\ndataFrame = pd.read_excel(\"SIA_DM.xls\") \r\npd.set_option('display.expand_frame_repr', False)\r\n\r\nprint('\\n **********\\n Visualizzazione delle prime 5 righe del data frame \\n **********\\n')\r\ndisplay(dataFrame.head())\r\nprint('\\n')\r\n\r\nprint('\\n **********\\n Statistiche descrittive \\n **********\\n')\r\ndisplay(dataFrame.info()) #.describe()\r\n\r\nprint('\\n **********\\n Il numero di righe e di colonne è:\\n **********\\n', dataFrame.shape)\r\n\r\n#Stampa del tipo di attributi\r\nprint (\"\\n **********\\n Stampa del datatype di ogni colonna: \\n *********\\n\") \r\ndisplay(dataFrame.dtypes)\r\n\r\n\r\n\r\n# RICHIESTA 1) verificare che i Social Security Numbers siano tutti diversi\r\n# Verificare che Social Security Numbers siano tutti diversi\r\n\r\nprint('\\n **********\\n Verifica che Social Security Numbers siano tutti diversi \\n **********\\n')\r\n\r\nssn_totali = dataFrame['SSN'].size\r\nssn_unici = dataFrame['SSN'].unique().size\r\nssn_differenza = ssn_totali - ssn_unici\r\nif ssn_differenza != 0:\r\n print('Sono presenti', ssn_differenza,'SSN che si ripetono, ovvero i seguenti:')\r\n display(dataFrame['SSN'].value_counts().iloc[0:ssn_differenza])\r\nelse:\r\n print('Tutti i Social Security Numbers sono diversi')\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#3)verificare se i valori del campo eta` (age) contengono valori\r\n#improbabili (problema “anno 2000”)\r\n\r\n\r\n\r\n#4)verificare il campo region (possibili errori di digitazione!!)\r\n\r\n\r\n\r\n#5)verificare il campo CredCardUser (possibile errore di formattazione)\r\n\r\n\r\n\r\n\r\n#6)Verificare i campi Income e Purchases per missing values e outliers\r\n"},{"alpha_fraction":0.6436525583267212,"alphanum_fraction":0.6495916843414307,"avg_line_length":27.19565200805664,"blob_id":"e8965fd3505512683c52105a142fe7002c400006","content_id":"25ceae74950930c1bb643799c1cbbba46f987b19","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1355,"license_type":"no_license","max_line_length":114,"num_lines":46,"path":"/siadm/Sia3.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"import pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\npd.options.mode.chained_assignment = None #\r\n\r\nimport time #time e datetime per operazioni sulle date\r\nimport datetime\r\nimport numpy as np\r\n\r\n\r\n\r\ndataFrame = pd.read_excel(\"SIA_DM.xls\")\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\n# RICHIESTA 3\r\n#Verificare se i valori del campo età (age) contengono valori improbabili.\r\n\r\nprint('Sto verificando e rimpiazzando gli errori nel campo età...')\r\n\r\n# Cattura eccezioni sulla conversione ad intero per verificare la presenza di stringhe al posto di valori numerici\r\ni = 0\r\nfor tmp in dataFrame['Age']:\r\n try:\r\n int(tmp)\r\n i = i + 1\r\n except:\r\n print('Età non riconosciuta', tmp)\r\n # Rimpiazza l'età errata con il valore 0\r\n dataFrame.loc[i, 'Age'] = 0\r\n i = i + 1\r\n\r\n# Confronta l'età che dovrebbe avere nell'anno corrente rispetto all'età riportata nel data frame.\r\n\"\"\"\r\ni = 0\r\nanno_corrente = datetime.date.today().year\r\nfor eta_letta in dataFrame['Age']:\r\n eta_corretta = anno_corrente - dataFrame.loc[i].Birthdate.year\r\n if eta_corretta != eta_letta:\r\n # Rimpiazza l'età errata con l'età corretta\r\n dataFrame.loc[i, 'Age'] = eta_corretta\r\n i = i + 1\r\n\"\"\"\r\n \r\nprint('\\n **********\\n Stampa dataframe: \\n **********\\n') \r\ndisplay(dataFrame)\r\n "},{"alpha_fraction":0.6286472082138062,"alphanum_fraction":0.6348364353179932,"avg_line_length":22.688888549804688,"blob_id":"b9efb2ae8e8d62b22393a00da8c6382d4deeb7c3","content_id":"8dd65f391cebea21316be9d5aefd41c465f39453","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1131,"license_type":"no_license","max_line_length":77,"num_lines":45,"path":"/Posti Letto/esPostiLetto1.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"\"\"\"\" commento multilinea\"\"\"\r\n\r\n\"\"\"\"\r\nESPLORARE UN DATASET di posti letto\r\n\"\"\"\r\n#pd.set_option('display.float_format', True)\r\n#pd.set_option('display.max_columns', None) \r\n\r\n#pd.set_option('display.expand_frame_repr', False)\r\n#pd.set_option('max_colwidth', -1)\r\n\r\n#pd.options.display.width = None\r\n\r\n#pd.options.display.max_rows = 1000\r\n\r\n\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\n#pd.set_option('display.expand_frame_repr', False)\r\n\r\npd.options.display.max_columns = None\r\npd.options.display.width=None\r\n\r\ndati = pd.read_csv('posti_letto.csv', sep=';')\r\n\r\nprint(dati.info())\r\ndati = dati.convert_objects(convert_numeric=True)\r\n\r\nprint(dati.info())\r\nprint (\"\\n **********\\n Stampa le prime 5 righe del file \\n *********\\n\")\r\n#with pd.option_context('expand_frame_repr', False):\r\n# print(dati.head(5))\r\n\r\n\r\nprint (\"\\n **********\\n Stampa il data type per ogni colonna \\n *********\\n\")\r\n#print(dati.dtypes)\r\n\r\nprint (\"\\n **********\\n Stampa statistiche descrittive \\n *********\\n\")\r\n#print(dati.describe)\r\n\r\n\r\n\r\n#documentazione pandas https://pandas.pydata.org/pandas-docs/stable/\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"},{"alpha_fraction":0.6658333539962769,"alphanum_fraction":0.6708333492279053,"avg_line_length":34.42424392700195,"blob_id":"79f85435c3134ad5fd91852eec944c5d723074d4","content_id":"b0c8a5a0ffb7c5d6e14d0f565a2c0e4944005136","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1200,"license_type":"no_license","max_line_length":207,"num_lines":33,"path":"/siadm/Sia4.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"import pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\npd.options.mode.chained_assignment = None #\r\n\r\nimport time #time e datetime per operazioni sulle date\r\nimport datetime\r\nimport numpy as np\r\n\r\n\r\ndataFrame = pd.read_excel(\"SIA_DM.xls\")\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\n# RICHIESTA 4\r\n#Verificare il campo region, possibili errori di digitazione.\r\n\r\nprint('Sto Verificando il campo region nel caso in cui ci fossero errori di digitazione.')\r\n\r\n# Verifica se ogni istanza del data frame abbia un valore corretto nel campo 'Region'\r\n# .lstrip() serve a ignorare gli spazi a sinistra della stringa.\r\ni = 0\r\ncont_err = 0\r\nfor reg in dataFrame['Region']:\r\n if (dataFrame.loc[i, 'Region'].lstrip() != 'North') & (dataFrame.loc[i, 'Region'].lstrip() != 'South') & (dataFrame.loc[i, 'Region'].lstrip() != 'East') & (dataFrame.loc[i, 'Region'].lstrip() != 'West'):\r\n print('Riga errata: ', i+1)\r\n cont_err = cont_err + 1\r\n i = i + 1\r\nprint('Vi sono', cont_err,'istranze errate nell\\'attributo Region')\r\n\r\n\r\nprint('\\n **********\\n Stampa dataframe, dato che si tratta solo di una verifica non ho corretto i dati: \\n **********\\n') \r\ndisplay(dataFrame)"},{"alpha_fraction":0.6570680737495422,"alphanum_fraction":0.6629580855369568,"avg_line_length":30.255319595336914,"blob_id":"4c666cc673c24a09ea7d435bf7e580e2086e0c0b","content_id":"846cd5a21fa8d0174bd5fa93598bb5c4fec7621e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1528,"license_type":"no_license","max_line_length":108,"num_lines":47,"path":"/siadm/Sia5.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"import pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\npd.options.mode.chained_assignment = None #\r\n\r\nimport time #time e datetime per operazioni sulle date\r\nimport datetime\r\nimport numpy as np\r\n\r\n\r\ndataFrame = pd.read_excel(\"SIA_DM.xls\")\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\n# RICHIESTA 5\r\n# Verificare il campo CredCardUser, possibili errori di formattazione.\r\nprint('\\n **********\\n Verificare il campo CredCardUser, possibili errori di formattazione \\n **********\\n')\r\n\r\n# Cattura l'eccezione durante la conversione ad intero per evidenziare errori di formattazione.\r\ni = 0\r\ncount_err = 0\r\nfor tmp in dataFrame['CredCardUser']:\r\n try:\r\n int(tmp)\r\n i = i + 1\r\n except:\r\n print('Valore CredCardUser non riconosciuto', tmp)\r\n print('Nell\\'istanza:', i+1)\r\n count_err = count_err + 1\r\n i = i + 1\r\n\r\nif count_err == 0:\r\n print('Non ci sono errori di formattazione nell\\'attributo CredCardUser')\r\n \r\n\r\n#RICHIESTA 6 \r\n# Verificare i campi Income e Purchases per missing values e outliers.\r\n\r\n\r\nprint('\\n **********\\n Elenco delle istanze con missing values per attributo Income: \\n **********\\n')\r\ndisplay(dataFrame[dataFrame['Income'].isnull()])\r\n\r\nprint('\\n **********\\n Elenco delle istanze missing values con attributo Purchases: \\n **********\\n')\r\ndisplay(dataFrame[dataFrame['Purchases'].isnull()])\r\n\r\n# Per identificare i possibili outliers si considera la media e la deviazione standard\r\n#print(dataFrame['Income'].mean())\r\n\r\n \r\n "},{"alpha_fraction":0.6947097778320312,"alphanum_fraction":0.7002204060554504,"avg_line_length":35.83333206176758,"blob_id":"cf39d9b38b8f6f749c48a896bbe8f72595f51a65","content_id":"f841efd3427d2129f286365870341c25823c4c98","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2726,"license_type":"no_license","max_line_length":125,"num_lines":72,"path":"/Posti Letto/da.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"WINDOWS-1252","text":"#Per fare una statica completa dei posti letto per regione\r\n#ci serve anche la popolazione per regione\r\n#che non è presente nel database originario. \r\n#Quindi creiamo un nuovo database con: codice regione e popolazione. \r\n#Dobbiamo combinazione di due database.\r\n\r\n\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\n\r\n# Carica il primo csv 'postiletto1.csv'\r\ndati = pd.read_csv( 'posti_letto.csv', sep=';' )\r\ndati = dati.convert_objects( convert_numeric=True )\r\n\r\n# selezione dei dati per anno 2011\r\nanno = dati[ dati['Anno'] == 2011 ]\r\n\r\n#???\r\nletti = anno[ [ 'Codice Regione', 'Descrizione Regione', 'Totale posti letto' ] ]\r\n\r\n#raggruppamento dei dati per codice regione\r\nletti = letti.groupby( ['Codice Regione' ] )\r\n#MIK\r\nprint (\"\\n **********\\n Dati ragguppati per regione: \\n *********\\n\")\r\nprint(letti)\r\n\r\n#aggregazione dei dati (il numero di posti letto viene sommato)\r\nletti = letti.aggregate( { 'Descrizione Regione':'first', 'Totale posti letto':'sum' } )\r\n#MIK\r\nprint (\"\\n **********\\n Dati aggregati: \\n *********\\n\")\r\nprint(letti)\r\n\r\n\r\n\r\n\r\n\r\n# Carica il secondo csv 'popolazione.csv'\r\ndati2 = pd.read_csv( 'popolazione.csv', sep=';', thousands='.' )\r\ndati2 = dati2.convert_objects( convert_numeric=True )\r\ndati2n = dati2.rename( columns={'CODICE REGIONE': 'Codice Regione', 'TOTALE':'Popolazione'} )\r\n\r\n# Raggruppo i cittadin per Codice regione e sommo tutti i loro cvalori. \r\n# Il risultato e'¨ la lista delle regioni con associato il numero di abitanti\r\npopolazione = dati2[ ['Codice Regione', 'Popolazione' ] ].groupby( 'Codice Regione' ).sum()\r\n\r\n\r\n## join tra i dataframe popolazione e letti. Serve almeno una variabile con lo stesso nome (nel nostro caso Codice Regione).\r\nlettiEPopolazione = popolazione.join( letti )\r\n\r\n# Aggiungiamo una colonna: 'Letti per Cittadino' che e' data da 'Totale posti letto'/'Popolazione'\r\nlettiEPopolazione['Letti per Cittadino'] = lettiEPopolazione['Totale posti letto'] / lettiEPopolazione['Popolazione']\r\n\r\n# Ordinamento del nuovo dataframe \r\nordinato = lettiEPopolazione.sort_values( 'Letti per Cittadino' )\r\nprint (\"\\n **********\\n Dataframe ottenuto dal join e ordinato: \\n *********\\n\")\r\nprint(ordinato)\r\n\r\nprint (\"\\n **********\\n Statistiche descrittive dell' istanza Letti per Cittadino dopo il join: \\n *********\\n\")\r\nprint (ordinato['Letti per Cittadino'].describe())\r\n\r\n\r\n\r\n\r\n# Grafico, specifico tipo e cosa visuallizare sugli assi\r\nordinato.plot( kind='barh', x='Descrizione Regione', y='Letti per Cittadino' )\r\nplt.show()\r\n\r\n\r\n# la Lombardia, che sembrava possedere un numero spropositato di posti letto\r\n#non è più neanche al primo posto. \r\n#Le differenze tra le varie regioni sono attenuate\r\n#Il molise da ultimo per posti letto diventa il primo"},{"alpha_fraction":0.6696633696556091,"alphanum_fraction":0.6799002289772034,"avg_line_length":35.53940963745117,"blob_id":"ba721a9447f2993faaa63de24ef538e9e99bcb3b","content_id":"4d900e1e1bad7ba1823fe88cb8069fb35c8a4193","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":15310,"license_type":"no_license","max_line_length":148,"num_lines":406,"path":"/Bank Data/esBankData.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"# Il dataset Bank Data contiene informazioni bancarie e personali di alcuni clienti.\r\n#Si vogliono definire modelli di targeting per classificare i clienti e vedere la distribuzine del reddito, in base all'acquisto del PEP (Personal \r\n# Equity Plan)\r\n\r\n\r\nimport pandas as pd\r\nimport numpy as np\r\nimport seaborn as sns\r\nimport matplotlib.pyplot as plt\r\nimport time\r\n\r\nfrom sklearn.impute import SimpleImputer\r\nfrom sklearn.decomposition import PCA\r\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\r\nfrom sklearn.impute import SimpleImputer\r\n\r\nfrom sklearn.linear_model import LogisticRegression\r\nfrom sklearn.svm import SVC\r\nfrom sklearn.neighbors import KNeighborsClassifier\r\nfrom sklearn import tree\r\nfrom sklearn.neural_network import MLPClassifier\r\nfrom sklearn.ensemble import GradientBoostingClassifier\r\nfrom sklearn.tree import DecisionTreeClassifier\r\nfrom sklearn.gaussian_process.kernels import RBF\r\nfrom sklearn.ensemble import RandomForestClassifier\r\nfrom sklearn.naive_bayes import GaussianNB\r\n\r\n# Caricamento del dataset \r\ndata = pd.read_csv(\"bank-data.csv\", sep=';')\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\nprint (\"\\n **********\\n Stampa del n. tot di dati del n. tot di attributi: \\n *********\\n\")\r\nprint(data.shape)\r\nprint (\"\\n **********\\n Stampa delle prime 5 righe del dataset: \\n *********\\n\")\r\ndisplay(data.head()) \r\nprint (\"\\n **********\\n Stampa delle statistiche descrittive: \\n *********\\n\")\r\ndisplay(data.describe())\r\nprint (\"\\n **********\\n Stampa del datatype di ogni colonna: \\n *********\\n\") \r\ndisplay(data.dtypes)\r\n\r\n\r\n\r\n\r\n# PREPROCESSING\r\n# Normalizzazione delle fasce di età: \r\n# ● 0 = intervallo [18, 40] \r\n# ● 1 = intervallo [40, 60] \r\n# ● 2 = intervallo [60, 80] \r\n# ● 3 = intervallo [80, 100]\r\n\r\n#prendo le istanze di tipo 'age' dal dataset data\r\nage = data['age']\r\n#metto quei valori in una lista\r\ntitle = pd.Series([\"age\"])\r\n#con la funzione .cut vado a specificare i range per l' attributo\r\nnew_age = pd.cut(age, [18, 40, 60, 80, 100], labels=False, retbins=False, right=False)\r\nnew_age = title.append(new_age)\r\nprint (\"\\n **********\\n Stampa delle nuove fasce d'età per ogni persona: \\n *********\\n\") \r\nprint(new_age)\r\n\r\nprint (\"\\n **********\\n Istogramma delle nuove fasce d'età per ogni persona: \\n *********\\n\")\r\n\r\n \r\n\r\n#apro il dataset age.csv, inserisco la nuova colonna new_age e lo chiudo\r\nf = open(\"age.csv\", \"a\") #'a' crea un nuovo file se non esiste\r\nnew_age.to_csv('bank-data.csv', index = False )\r\nf.close()\r\n\r\ndata_con_newage = pd.read_csv(\"bank-data.csv\", sep=';')\r\ndisplay(data_con_newage.head())\r\n\r\n\"\"\"\r\nist1 = data_con_newage['new_age'].hist(bins=5, flagsize=(10,5))\r\nplt.show()#\r\n#.plot.barh()\r\n\"\"\"\r\n\r\n\r\n#non ci sono dati mancanti.\r\n#altrimenti usavo ad esempio data = data.fillna(0)\r\n\r\n#dati eterogeneri e tanti dati categoriali. \r\n#DISCRETIZZAZIONE: uniformare i dati categoriali trasformandoli in numerici\r\n #conversione in valori interi\r\ndata1 = data.copy(deep = True)\r\nto_be_encoded_cols = data1.columns.values\r\n\r\n\r\ndef label_encode(df, columns):\r\n for col in columns:\r\n le = LabelEncoder()\r\n col_values_unique = list(df[col].unique())\r\n le_fitted = le.fit(col_values_unique)\r\n \r\n col_values = list(df[col].values)\r\n le.classes_\r\n col_values_transformed = le.transform(col_values)\r\n df[col] = col_values_transformed\r\n \r\nto_be_encoded_cols = data.columns.values\r\nlabel_encode(data, to_be_encoded_cols)\r\n\r\n\r\nprint (\"\\n **********\\n Stampa delle prime 5 righe del dataset dopo il preprocessing: \\n *********\\n\")\r\ndisplay(data.head(5)) \r\nprint (\"\\n **********\\n Stampa delle statistiche descrittive del dataset dopo il preprocessing: \\n *********\\n\")\r\ndisplay(data.describe())\r\n\r\n\r\n#ISTOGRAMMA\r\n\"\"\"print (\"\\n **********\\n Stampa istogramma con 30 colonne \\n *********\\n\")\r\nistogramma = data.hist(bins=30)\r\n\r\nistogramma.set_title('Relazione tra guadagno dei clienti e loro regione di provenienza')\r\nistogramma.set_xlabel('egion')\r\nistogramma.set_ylabel('income')\r\n\r\nplt.show()\r\n\"\"\"\r\n#ISTOGRAMMA 2\r\n#print (\"\\n **********\\n Stampa istogramma \\n *********\\n\")\r\n#data.plot.barh()\r\n\r\n\r\n\r\n#apriamo il file bank-data2, ci andiamo a copiare il dataset discretizzato\r\nf = open(\"bank-data2.csv\", \"a\")\r\ndata.to_csv('bank-data2.csv', index = False )\r\nf.close()\r\n\r\n# a questo punto rimuovo manualmente l’intera colonna dell’attributo ‘id’, in quanto non è utile ai fini della nostra analisi\r\n#e sostituiamo la colonna 'age' con quella appena creata.\r\n#PREPROCESSING FINITO\r\n\r\n# ANALISI GRAFICA dei dati\r\n# regione abitativa INNER_CITY (centro città), TOWN (città), RURAL (campagna), SUBURBAN (periferia).\r\n# Mi è utile pcomparare la statistiche (describe) sul reddito dei clienti in base alla regione.\r\n# poi costruisco un istogramma per vedere come la variabile ‘income’ viene distribuita.\r\nregion = data[['region', 'income']].groupby('region')\r\nsomma = region.sum().sort_values('income')\r\nsomma.plot.barh()\r\nprint (\"\\n **********\\n Statistiche sul reddito dei clienti in base alla regione abitativa: \\n *********\\n\")\r\nprint(somma.describe())\r\nprint (\"\\n **********\\n E relativo istogramma: \\n *********\\n\")\r\nplt.show()\r\n\r\n# Per fare l’analisi grafica ho dovuto effettuare una discretizzazione preliminare\r\n# metto una legenda per interpretare i dati dell’istogramma. \r\nprint (\" ● 0 = inner_city (centro città) \\n ● 1 = rural (campagna) \\n ● 2 = suburban (periferia) \\n ● 3 = town (città)\")\r\n\r\n\r\n# Vedo che il reddito oscilla da 20mila a 80mila.\r\n# Su 600 clienti circa la metà ha un reddito di circa 42000.00.\r\n# Dall’istogramma, invece, noto che i clienti con \r\n# reddito più alto sono concentrati nel centro città, mentre quelli con reddito più basso in periferia.\r\n\r\n \r\n# ANALISI SIMILI possono essere fatte per valutare ad esempio \r\n# distribuzione del reddito in base al matrimonio e al numero dei figli.\r\n# o altri attributi a disposizione nel dataset\r\n\r\nchildren = data[ data['children'] == 0 ]\r\nsom = children[ [ 'region', 'income', 'married' ] ]\r\nsom = som.groupby( ['region' ] )\r\nsom = som.aggregate( { 'income':'first', 'married': 'sum' } )\r\nsom.plot( kind='barh', x='income', y='married' )\r\n\r\nprint (\"\\n **********\\n Statistiche sul reddito dei clienti senza figli: \\n *********\\n\")\r\nprint(som.describe())\r\nprint (\"\\n **********\\n E relativo istogramma: \\n *********\\n\")\r\nplt.show()\r\n\r\n\r\n# Distribuzione reddito di clienti sposati e con due figli.\r\nchildren = data[ data['children'] == 2 ]\r\nsom = children[ [ 'region', 'income', 'married' ] ]\r\nsom = som.groupby( ['region' ] )\r\nsom = som.aggregate( { 'income':'first', 'married': 'sum' } )\r\nsom.plot( kind='barh', x='income', y='married' )\r\nprint(som.describe())\r\nplt.show()\r\n\r\nprint (\"\\n **********\\n Statistiche sul reddito dei clienti sposati e con 2 figli: \\n *********\\n\")\r\nprint(som.describe())\r\nprint (\"\\n **********\\n E relativo istogramma: \\n *********\\n\")\r\nplt.show()\r\n\r\n\r\n\r\n\r\n# ANALISI DEI DATI\r\n# Matrice correlaz con Variabile Target la variabile Pep\r\ncorrelation_matrix = data.corr()\r\nplt.figure(figsize=(50,20))\r\nax = sns.heatmap(correlation_matrix, vmax=1, square=True, \r\n annot=True, fmt='.2f', cmap='GnBu', cbar_kws={\"shrink\":.5}, robust=True)\r\nplt.title('Matrice di correlazione delle features', fontsize=20)\r\nprint (\"\\n **********\\n Matrice di correlazione: \\n *********\\n\")\r\nplt.show()\r\n\r\n# La matrice di correlazione mostra che l'unica variabile correlata con la target\r\n# è 'income'(reddito del cliente), anche se la correlazione è comunque bassa (0.21)\r\n# Si può notare però che le due variabili in maggior correlazione sono income ed age (0.17).\r\n\r\n\r\n# Per un dataset con molte funzionalità potrebbe diventare molto grande e la \r\n# correlazione di una singola funzione con le altre caratteristiche diventa difficile da discernere.\r\n#Se si desidera esaminare le correlazioni di una singola funzione, di solito è meglio un istogramma\r\ndef display_corr_with_col(df, col):\r\n correlation_matrix = data.corr()\r\n correlation_type = correlation_matrix[col].copy()\r\n abs_correlation_type = correlation_type.apply(lambda x: abs(x))\r\n desc_corr_values = abs_correlation_type.sort_values(ascending=False)\r\n y_values = list(desc_corr_values.values)[1:]\r\n x_values = range(0, len(y_values))\r\n xlabels = list(desc_corr_values.keys())[1:]\r\n fig, ax = plt.subplots(figsize=(8,8))\r\n ax.bar(x_values, y_values)\r\n ax.set_title('Correlazione delle features con {}' .format(col), fontsize=20)\r\n ax.set_ylabel('Coefficiente di correlazione di Pearson', fontsize=16)\r\n plt.xticks(x_values, xlabels, rotation='vertical')\r\n plt.show()\r\n \r\ndisplay_corr_with_col(data, 'pep')\r\n# Con il grafico a barre ritrovo gli stessi risultati della matrice di correlazione,\r\n#ma una variabile di correlazione in più: married.\r\n# I risultati dell'analisi ci fanno capire che generalmente la decisione di acquistare o meno il\r\n# PEP dipende da married, children e income, \r\n# che a sua volta è fortemente influenzato dai fattori children e married.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# CLASSIFICAZIONE E VALIDAZIONE\r\n# Costruzione modello di apprendimento automatico: ora verranno formati diversi modelli di Machine Learning e verranno \r\n# confrontati i loro risultati.\r\n\r\n\r\ndef get_train_test(df, y_col, x_cols, ratio):\r\n mask = np.random.rand(len(df)) < ratio \r\n df_train = df[mask]\r\n df_test = df[~mask]\r\n y_train = df_train[y_col].values\r\n y_test = df_test[y_col].values\r\n X_train = df_train[x_cols].values\r\n X_test = df_test[x_cols].values\r\n \r\n return df_train, df_test, X_train, y_train, X_test, y_test\r\n\r\ny_col_glass = 'pep'\r\nx_cols_glass = list(data.columns.values)\r\nx_cols_glass.remove(y_col_glass)\r\n\r\ntrain_test_ratio = 0.7\r\ndf_train, df_test, X_train, y_train, X_test, y_test = get_train_test(data, y_col_glass, x_cols_glass, train_test_ratio)\r\n\r\n# Creerò un dizionario, che \r\n# contiene come chiavi il nome dei classificatori e come valori un'istanza dei classificatori.\r\ndict_classifiers = {\r\n \"Nearest Neighbors\": KNeighborsClassifier(),\r\n \"Decision Tree\": tree.DecisionTreeClassifier(),\r\n \"Random Forest\": RandomForestClassifier(n_estimators=1000),\r\n \"Naive Bayes\": GaussianNB(),\r\n}\r\n\r\n\r\n\r\ndef batch_classify(X_train, y_train, X_test, y_test, no_classifiers=5, verbose=True):\r\n \r\n dict_models={}\r\n \r\n for classifiers_name, classifier in list(dict_classifiers.items())[:no_classifiers]:\r\n t_start = time.clock()\r\n classifier.fit(X_train,y_train)\r\n t_end = time.clock()\r\n \r\n t_diff = t_end - t_start\r\n train_score = classifier.score(X_train, y_train)\r\n test_score = classifier.score(X_test, y_test)\r\n \r\n dict_models[classifier_name] = {'model': classifier, 'train_score':train_score, 'test_score':test_score, 'train_diff':t_diff}\r\n if verbose:\r\n print(\"trained {c} in {f:.2f} s\".format(c = classifier_name, f=t_diff))\r\n return dict_models\r\n\r\n\r\n\r\n\r\n\r\ndef display_dict_models(dict_models, sort_by='test_score'):\r\n cls = [key for key in dict_models.keys()]\r\n test_s = [dict_models[key]['test_score'] for key in cls]\r\n training_s = [dict_models[key]['train_score'] for key in cls]\r\n training_t = [dict_models[key]['train_time'] for key in cls]\r\n \r\n df_ = pd.DataFrame(data = np.zeros(shape=(len(cls),4)), columns = ['classifier','train_score','test_score','train_time'])\r\n for ii in range(0,len(cls)):\r\n df_.loc[ii,'classifier'] = cls[ii]\r\n df_.loc[ii,'train_score'] = training_s[ii]\r\n df_.loc[ii,'test_score'] = test_s[ii]\r\n df_.loc[ii,'train_time'] = training_t[ii]\r\n \r\n display(df_.sort_values(by=sort_by, ascending=False))\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# VALUTAZIONE DEI CLASSIFICATORI\r\n# Dopo la definizione dei singoli classificatori è stata fatta una valutazione degli stessi al fine di individuarne \r\n# il migliore.\r\n\r\n# CLASSIFICATORE K-NEIGHBORS\r\nknn = KNeighborsClassifier(n_neighbors = 3)\r\nknn.fit(X_train, y_train)\r\nY_pred = knn.predict(X_test)\r\nacc_knn = round(knn.score(X_train, y_train) * 100, 2)\r\n\r\n# CLASSIFICATORE DECISION TREE\r\ndecision_tree = DecisionTreeClassifier()\r\ndecision_tree.fit(X_train, y_train)\r\nY_pred = decision_tree.predict(X_test)\r\nacc_decision_tree = round(decision_tree.score(X_train, y_train) * 100, 2)\r\n\r\n# CLASSIFICATORE RANDOM FOREST\r\nrandom_forest = RandomForestClassifier(n_estimators=1000)\r\nrandom_forest.fit(X_train, y_train)\r\nY_pred = random_forest.predict(X_test)\r\nrandom_forest.score(X_train, y_train)\r\nacc_random_forest = round(random_forest.score(X_train, y_train) * 100, 2)\r\n\r\n# CLASSIFICATORE GAUSSIAN (NAIVE BAYES)\r\ngaussian = GaussianNB()\r\ngaussian.fit(X_train, y_train)\r\nY_pred = gaussian.predict(X_test)\r\nacc_gaussian = round(gaussian.score(X_train, y_train) * 100, 2)\r\n\r\nresults = pd.DataFrame({\r\n \r\n 'Model':['Nearest Neighbors','Decision Tree',\r\n 'Random Forest','Naive Bayes'],\r\n 'Score':[acc_knn, acc_decision_tree,\r\n acc_random_forest, acc_gaussian]})\r\nresult_df = results.sort_values(by='Score', ascending=False)\r\nresult_df = result_df.set_index('Score')\r\nresult_df.head(8)\r\nprint (\"\\n **********\\n Risultati dei diversi classificatori: \\n *********\\n\")\r\nprint(results)\r\n\r\n# Come è possibile notare i Classificatori Random Forest e Decision Tree hanno una percentutale del 100%, quindi sono \r\n# quelli più adatti a fare una valutazione. La traccia però ci richiedere di fare una valutazione anche sui \r\n# classificatoi bayesiani, e confrontare i risultati.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#CROSS VALIDATION\r\n# Ora invece esaminiamo il Classificatore Decision Tree\r\nfrom sklearn.model_selection import cross_val_score\r\nrf = DecisionTreeClassifier()\r\nscores = cross_val_score(rf, X_train, y_train, cv=10, scoring = \"accuracy\")\r\nprint (\"\\n **********\\n Accuratezza del decision Tree: \\n *********\\n\")\r\nprint(\"Scores: \", scores)\r\nprint(\"Mean: \", scores.mean())\r\nprint(\"Standard deviation: \", scores.std())\r\n\r\n# Il modello in questione ha una precisione media del 79% con una deviazione \r\n# standard del 0.10% circa,che ci mostra, quanto precise sono le stime\r\n#può variare di +/- 0.10%.\r\n\r\n# Matrice di Confusione per Decision Tree\r\nfrom sklearn.model_selection import cross_val_predict\r\nfrom sklearn.metrics import confusion_matrix\r\npredictions = cross_val_predict(decision_tree, X_train, y_train, cv=3)\r\nconfusion_matrix(y_train, predictions)\r\n\r\n# La prima riga della matrice di confusione riguarda le previsioni sui clienti non idonei a possedere un PEP: 169 \r\n# clienti sono stati classificati correttamente come non idonei (veri negativi), mentre 54 sono stati classificati per \r\n# errore come non idonei (falsi positivi). La seconda riga riguarda, invece, le previsioni sui clienti idonei: 41 che\r\n# per errore sono stati reputati idonei e 144 correttamente classificati come idonei.\r\n\r\n\r\n\r\n\r\n#PRECISIONE E RECALL\r\n# Decision Tree\r\nfrom sklearn.metrics import precision_score, recall_score\r\nprint(\"Precision: \", precision_score(y_train, predictions))\r\nprint(\"Recall: \", recall_score(y_train, predictions))\r\n\r\n# Il modello costruito prevede il 72% delle volte, una classificazione del cliente corretta(precisione)\r\n# La recall afferma che ha predetto la classificazione del 79% di clienti che sono effettivamente idonei."},{"alpha_fraction":0.6257668733596802,"alphanum_fraction":0.666871190071106,"avg_line_length":31.224489212036133,"blob_id":"5a16205b1cd9e3565d9b13fd8b80e9be86703840","content_id":"1e605482fd31244a6e2320a0a5395b03fb3a69d6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1636,"license_type":"no_license","max_line_length":102,"num_lines":49,"path":"/Posti Letto/esPostiLetto2.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"#RELAZIONE TRA NUMERO DI POSTI LETTO E NUMERO DI OSPEDALI\r\n\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\ndati = pd.read_csv('posti_letto.csv', sep=';')\r\ndati = dati.convert_objects(convert_numeric=True)\r\n\r\n#CHECK dei valori 2011\r\nanno2011 = [dati['Anno'] == 2011]\r\n#senza [] anno2011 è un oggetto di tipo series\r\nprint (\"\\n **********\\n Stampa dataset originale con ospendali censiti nel 2011 \\n *********\\n\")\r\ndisplay(anno2011)\r\nprint (\"\\n **********\\n Il datatype di anno2011 è: \\n *********\\n\")\r\nprint(type(anno2011))\r\n\r\n\r\n\r\n#ASSEGNAZIONE\r\n#con [] anno2011 viene castato a string\r\nanno2011_2 = dati[dati['Anno'] == 2011]\r\n\r\nprint (\"\\n **********\\n Stampa ospedali censiti nel 2011 Inseriti in un nuovo dataset \\n *********\\n\")\r\ndisplay(anno2011_2)\r\n\r\n\r\n#dataframe con una sola colonna\r\nletti = anno2011_2['Totale posti letto']\r\nprint (\"\\n **********\\n Il datatype di letti è: \\n *********\\n\")\r\nprint(type(anno2011))\r\n\r\nprint (\"\\n **********\\n Stampa statistiche descrittive sul dataset letti \\n *********\\n\")\r\nprint(letti.describe())\r\n\r\nprint (\"\\n **********\\n Stampa istogramma con 30 colonne \\n *********\\n\")\r\nistogramma = letti.hist(bins=30)\r\n\r\nistogramma.set_title('Relazione tra numero di letti e numero di ospedali')\r\nistogramma.set_xlabel('Numero letti')\r\nistogramma.set_ylabel('Numero ospedali')\r\n\r\nplt.show()\r\n\r\n#tanti ospedali hanno pochi posti letto\r\n#e pochi ospedali con tanti posti letto\r\n#senza il grafico la media non è \"affidabile\"\r\n# per questo il dato della media va sempre rapportato ad una rappresentazione grafica\r\n#da sola la media è un dato poco rappresentativo della realtà.\r\n\r\n"},{"alpha_fraction":0.61869877576828,"alphanum_fraction":0.6275143027305603,"avg_line_length":32.12711715698242,"blob_id":"c54d977d77ffb6e0e533969914bd99bb469c59e3","content_id":"d17eb40b456bc77f42fdb8b9ad44b5e7fe4a41ee","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8056,"license_type":"no_license","max_line_length":133,"num_lines":236,"path":"/CRM/crm.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"import numpy as np\r\nimport sklearn as sk\r\nimport pandas as pd\r\nimport seaborn as sns\r\nimport time\r\nimport matplotlib.pyplot as plt\r\n\r\nfrom sklearn.impute import SimpleImputer\r\nfrom sklearn.decomposition import PCA\r\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\r\nfrom sklearn.impute import SimpleImputer\r\n\r\n# classifiers\r\nfrom sklearn.linear_model import LogisticRegression\r\nfrom sklearn.ensemble import RandomForestClassifier\r\nfrom sklearn import tree\r\nfrom sklearn.ensemble import GradientBoostingClassifier\r\nfrom sklearn.neighbors import KNeighborsClassifier\r\nfrom sklearn.gaussian_process.kernels import RBF\r\nfrom sklearn.tree import DecisionTreeClassifier\r\nfrom sklearn.naive_bayes import GaussianNB\r\n\r\ndata = pd.read_csv(\"CRM.csv\", sep=\";\")\r\npd.set_option('display.expand_frame_repr', False)\r\n\r\nprint (\"\\n **********\\n Stampa del n. tot di dati del n. tot di attributi: \\n *********\\n\")\r\nprint(data.shape)\r\nprint (\"\\n **********\\n Stampa delle prime 5 righe del dataset: \\n *********\\n\")\r\ndisplay(data.head()) \r\nprint (\"\\n **********\\n Stampa delle statistiche descrittive: \\n *********\\n\")\r\ndisplay(data.describe())\r\nprint (\"\\n **********\\n Stampa del datatype di ogni colonna: \\n *********\\n\") \r\ndisplay(data.dtypes)\r\n\r\n\r\n############## PREPROCESSING #######################\r\n# Riempi i dati mancanti con lo 0\r\ndata = data.fillna(0)\r\n\r\n#######DISCRETIZZAZIONE (valori categorici -> valori numerici) ######\r\n\r\nnewdata = dict() #creo un dizionario newdata su cui va\r\nfor key in data.keys():\r\n if data[key].dtypes == 'object':\r\n#dichiaro una LabelEncoder() (trasformerà l'attributo categorico in numerico)\r\n le = LabelEncoder()\r\n#applico la le\r\n le.fit(data[key])\r\n\r\n newdata[key] = le.transform(data[key])\r\n else:\r\n newdata[key] = data[key]\r\n \r\n \r\n#Per applicare l'algoritmo di classificazione \r\n#copio i dati del dataset da un dizionario a un dataset (nuovo)\r\nres = pd.DataFrame.from_dict(newdata, orient='columns', dtype=None)\r\n\r\n\r\n###### se first_amount_spent e number_of_products =0 sostituisco la MEDIA ######\r\nnumpy_array = res.values\r\nX=numpy_array[:,[1,2]]\r\n#print(X)\r\n\r\nimp = SimpleImputer(missing_values=0, strategy=\"mean\")\r\nX = imp.fit_transform(X)\r\nprint(X[5])\r\n\r\n\r\nprint (\"\\n **********\\n Stampa delle prime 5 righe del dataset dopo il pre-processing: \\n *********\\n\")\r\ndisplay(res.head())\r\nprint (\"\\n **********\\n Stampa delle statistiche descrittive del dataset dopo il preprocessing: \\n *********\\n\")\r\ndisplay(data.describe())\r\n\r\n\r\n\r\n\r\n\r\n######ANALISI GRAFICA ########\r\n\r\nprova = data[['first_amount_spend', 'center']].groupby('age51_89')\r\nprova2 = prova.sum().sort_values('first_amount_spend')\r\nprova2.plot.barh()\r\nprint (\"\\n **********\\n Istogramma che rappresenta first_amount_spent in relazione a età 51-89: \\n *********\\n\")\r\nplt.show\r\n\r\n\r\n\r\n\r\n############### ANALISI DEI DATI MATRICE DI CORRELAZIONE ####################\r\n\r\ndata_copy = res.copy(deep=True)\r\ncorrelation_matrix = data_copy.corr()\r\nplt.figure(figsize=(50,20))\r\n\r\nax = sns.heatmap(correlation_matrix,square=True, annot=True, fmt='.2f', cmap='PuBu', robust=True)\r\n\r\nplt.title('Matrice correlazione', fontsize=20)\r\nplt.show()\r\n\r\n\r\n\r\n############### CLASSIFICAZIONE E VALIDAZIONE ####################\r\n#il metodo trasforma un dataframe in un train e test set, per questo bisogna specificare:\r\n #1-il ratio train: test (di solito=0.7)\r\n #2-la colonna con Y_values\r\ndef get_train_test(df, y_col, x_cols, ratio):\r\n \r\n mask = np.random.rand(len(df)) < ratio \r\n df_train = df[mask]\r\n #~ = Alt + 0126\r\n df_test = df[~mask]\r\n \r\n y_train = df_train[y_col].values\r\n y_test = df_test[y_col].values\r\n X_train = df_train[x_cols].values\r\n X_test = df_test[x_cols].values\r\n \r\n return df_train, df_test, X_train, y_train, X_test, y_test\r\n\r\n\r\n\r\n######################################\r\ny_col_glass = 'Y'\r\nx_cols_glass = list(data_copy.columns.values)\r\nx_cols_glass.remove(y_col_glass)\r\n\r\ntrain_test_ratio = 0.7\r\ndf_train, df_test, X_train, y_train, X_test, y_test = get_train_test(data_copy, y_col_glass, x_cols_glass, train_test_ratio)\r\n\r\n\r\n#######################################\r\ndict_classifiers = {\r\n \"Nearest Neighbors\": KNeighborsClassifier(),\r\n \"Decision Tree\": tree.DecisionTreeClassifier(),\r\n \"Random Forest\": RandomForestClassifier(n_estimators=1000),\r\n \"Naive Bayes\": GaussianNB(),\r\n}\r\n\r\n\r\n\r\n#######################################\r\ndef batch_classify(X_train, y_train, X_test, y_test, no_classifiers=5, verbose=True):\r\n \r\n dict_models={}\r\n \r\n for classifiers_name, classifier in list(dict_classifiers.items())[:no_classifiers]:\r\n t_start = time.clock()\r\n classifier.fit(X_train,y_train)\r\n t_end = time.clock()\r\n \r\n t_diff = t_end - t_start\r\n train_score = classifier.score(X_train, y_train)\r\n test_score = classifier.score(X_test, y_test)\r\n \r\n dict_models[classifier_name] = {'model': classifier, 'train_score':train_score, 'test_score':test_score, 'train_diff':t_diff}\r\n if verbose:\r\n print(\"trained {c} in {f:.2f} s\".format(c = classifier_name, f=t_diff))\r\n return dict_models\r\n\r\n\r\n#######################################\r\ndef display_dict_models(dict_models, sort_by='test_score'):\r\n cls = [key for key in dict_models.keys()]\r\n test_s = [dict_models[key]['test_score'] for key in cls]\r\n training_s = [dict_models[key]['train_score'] for key in cls]\r\n training_t = [dict_models[key]['train_time'] for key in cls]\r\n \r\n df_ = pd.DataFrame(data = np.zeros(shape=(len(cls),4)), columns = ['classifier','train_score','test_score','train_time'])\r\n for ii in range(0,len(cls)):\r\n df_.loc[ii,'classifier'] = cls[ii]\r\n df_.loc[ii,'train_score'] = training_s[ii]\r\n df_.loc[ii,'test_score'] = test_s[ii]\r\n df_.loc[ii,'train_time'] = training_t[ii]\r\n \r\n display(df_.sort_values(by=sort_by, ascending=False))\r\n\r\n\r\n\r\n#****** VALUTAZIONE DEI CLASSIFICATORI *******\r\n#accuracy score = knn.score(...)\r\n#CLASSIFICATORE K-NEIGHBORS\r\nknn = KNeighborsClassifier(n_neighbors = 3)\r\nknn.fit(X_train, y_train)\r\nY_pred = knn.predict(X_test)\r\nacc_knn = round(knn.score(X_train, y_train) * 100, 2)\r\n\r\n#CLASSIFICATORE DECISION TREE\r\ndecision_tree = DecisionTreeClassifier()\r\ndecision_tree.fit(X_train, y_train)\r\nY_pred = decision_tree.predict(X_test)\r\nacc_decision_tree = round(decision_tree.score(X_train, y_train) * 100, 2)\r\n\r\n#CLASSIFICATORE RANDOM FOREST\r\nrandom_forest = RandomForestClassifier(n_estimators=1000)\r\nrandom_forest.fit(X_train, y_train)\r\nY_pred = random_forest.predict(X_test)\r\nrandom_forest.score(X_train, y_train)\r\nacc_random_forest = round(random_forest.score(X_train, y_train) * 100, 2)\r\n\r\n#CLASSIFICATORE GAUSSIAN (NAIVE BAYES)\r\ngaussian = GaussianNB()\r\ngaussian.fit(X_train, y_train)\r\nY_pred = gaussian.predict(X_test)\r\nacc_gaussian = round(gaussian.score(X_train, y_train) * 100, 2)\r\n\r\nresults = pd.DataFrame({\r\n \r\n 'Model':['Nearest Neighbors','Decision Tree',\r\n 'Random Forest','Naive Bayes'],\r\n 'Score':[acc_knn, acc_decision_tree,\r\n acc_random_forest, acc_gaussian]})\r\n\r\n\r\nresult_df = results.sort_values(by='Score', ascending=False)\r\nresult_df = result_df.set_index('Score')\r\nresult_df.head(8)\r\nprint (\"\\n **********\\n Valutazione classificatori: \\n *********\\n\")\r\nprint (results)\r\n\r\n\r\n############ RANDOM FOREST: CROSS-VALIDATION ###############\r\nfrom sklearn.model_selection import cross_val_score\r\nprint (\"\\n **********\\n Cross validation/accuratezza Random Forest: \\n *********\\n\")\r\nrf = RandomForestClassifier(n_estimators=100)\r\nscores = cross_val_score(rf, X_train, y_train, cv=10, scoring = \"accuracy\")\r\nprint(\"Scores: \", scores)\r\nprint(\"Mean: \", scores.mean())\r\nprint(\"Standard deviation: \", scores.std())\r\n\r\n\r\n############ PRECISIONE E RECALL ###############\r\nfrom sklearn.metrics import precision_score, recall_score\r\n\r\nprint(\"Precision: \", precision_score(y_train, scores))\r\nprint(\"Recall: \", recall_score(y_train, scores))\r\n"},{"alpha_fraction":0.6590509414672852,"alphanum_fraction":0.6959578394889832,"avg_line_length":27.842105865478516,"blob_id":"67fb893105b4c816ff45432a4010dbeab6b535af","content_id":"a0e8c6325069388afa6a0479463bbff13c047b64","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":569,"license_type":"no_license","max_line_length":89,"num_lines":19,"path":"/Posti Letto/esPostiLetto3.py","repo_name":"Mik-el/Data-Mining-in-Python-Examples","src_encoding":"UTF-8","text":"#OSPEDALE CON PIU' POSTI LETTO\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\n\r\n\r\ndati = pd.read_csv('posti_letto.csv', sep=';', encoding= \"UTF-8\")\r\n\r\nanno2001 = dati[dati['Anno'] == 2011]\r\n#anno = dati['Anno'] == 2011\r\n#anno = dati #OK\r\nanno2001 = anno2001.sort_values('Totale posti letto', ascending=False)\r\n\r\npd.option_context('display.max_rows', None, 'display.max_columns', None)\r\n\r\n\r\n#stampa i soli attributi 'Denominzione struttura' e 'Totale posti letto' del dataset anno\r\nprint(anno[['Denominazione struttura', 'Totale posti letto']])\r\n\r\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6820825934410095,\n \"alphanum_fraction\": 0.6969168186187744,\n \"avg_line_length\": 40.44444274902344,\n \"blob_id\": \"9366a53ac4861f0aeb332fcdbcb471b5008bc03b\",\n \"content_id\": \"ed2dd468c83c1fe9387400af510aa70ef881e518\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3440,\n \"license_type\": \"no_license\",\n \"max_line_length\": 136,\n \"num_lines\": 81,\n \"path\": \"/siadm/Sia2.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\npd.options.mode.chained_assignment = None #\\r\\n\\r\\nimport time #time e datetime per operazioni sulle date\\r\\nimport datetime\\r\\nimport numpy as np\\r\\n\\r\\n\\r\\ndataFrame = pd.read_excel(\\\"SIA_DM.xls\\\")\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\n# RICHIESTA 2) verificare se le date di nascita contengono valori improbabili (possibili\\r\\n#valori sconosciuti!!)\\r\\nprint('\\\\n **********\\\\n Verificare se le date di nascita contengono valori improbabili \\\\n **********\\\\n ')\\r\\n\\r\\n# Come è possibile notare tra le informazioni del data frame, non sono presenti valori nulli.\\r\\n\\r\\n\\r\\n\\r\\n#****DATE NON VALIDE\\r\\n# Dunque si procede alla verifica di valori errati.\\r\\n# In caso di errore nel campo data, questo verrà rimpiazzato da una data media\\r\\nerr_count = 0\\r\\nidx = 0\\r\\nerr_idx_list = [] # lista utile a mantene in memoria gli indici corrispondenti ai valori errati\\r\\ndate_tmp_list = [] # lista utile a memorizzare le date per l'eventuale calcolo della media delle date\\r\\nfor tmp in dataFrame['Birthdate']:\\r\\n try:\\r\\n date_tmp_list.append(pd.to_datetime(tmp))\\r\\n idx = idx + 1\\r\\n except:\\r\\n print('Dato errato nell\\\\'istanza numero', idx)\\r\\n err_idx_list.append(idx)\\r\\n err_count = err_count + 1\\r\\n idx = idx + 1\\r\\n\\r\\n# Calcolo la data media per eventuali rimpiazzi\\r\\nmeanDate = (np.array(date_tmp_list, dtype='datetime64[s]').view('i8').mean().astype('datetime64[s]'))\\r\\n\\r\\n# In caso di date errate si procede al rimpiazzo delle stesse con la data media\\r\\nif err_count != 0:\\r\\n print('Esistono', err_count, 'date non corrette che verranno sostituite con la data media')\\r\\n for i in err_idx_list:\\r\\n # Stampa le istanze con le date non corrette\\r\\n display(dataFrame[dataFrame['Customer'] == i+1])\\r\\n dataFrame.loc[i,'Birthdate'] = meanDate\\r\\nelse:\\r\\n print('Tutte le date sono sintatticamente corrette')\\r\\n \\r\\n\\r\\n# Una volta azzerati i dati errati, si procede con la conversione in \\\"datetime64\\\" per poter effettuare\\r\\n# altre operazioni sulle date utili ai fini di altre verifiche\\r\\ndataFrame['Birthdate'] = pd.to_datetime(dataFrame['Birthdate'])\\r\\ndisplay(dataFrame.head())\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n#****DATE IMPROBABILI\\r\\n# ***clienti che abbiano la data di nascita a partire dal 1900.\\r\\n# da 01-01-1900 ad oggi \\r\\n# Si crea una vista del data frame a tele scopo (df)\\r\\nprint('\\\\n **********\\\\n Si suppone di voler analizzare dati di clienti che abbiano la data di nascita a partire dal 1900.')\\r\\nprint('Dunque si assumono \\\"probabili\\\" solo date che ricadono nell\\\\'intervallo temporale che va dal 01-01-1900 ad oggi. \\\\n **********\\\\n')\\r\\ndf = dataFrame[(dataFrame['Birthdate'] > time.strftime(\\\"%d/%m/%Y\\\")) | (dataFrame['Birthdate'] < datetime.datetime(1900, 1, 1))]\\r\\ntotal_err_date = df['Birthdate'].size\\r\\n\\r\\n# Visualizza le istanze che non ricadono nell'intervallo di interesse\\r\\nprint('Le istanze che non ricadono nel range ricercato sono:', total_err_date)\\r\\ndisplay(df)\\r\\n# Rimpiazzo le date improbabili con una data media.\\r\\n# Essendo 'df' una vista sul data frame principale (dataFrame), i rimpiazzi effettuati hanno effetto su 'dataFrame'.\\r\\ndf.loc[((df['Birthdate'] > time.strftime(\\\"%d/%m/%Y\\\")) | (df['Birthdate'] < datetime.datetime(1900, 1, 1))), 'Birthdate'] = meanDate\\r\\nprint('Le istanze con i valori improbabili sono stati rimpiazzati con una data media')\\r\\ndisplay(df)\\r\\n\\r\\nprint('Si nota ovviamente che il campo \\\"\\\"age\\\" non combacia con la data di nascita')\"\n },\n {\n \"alpha_fraction\": 0.7027027010917664,\n \"alphanum_fraction\": 0.7227227091789246,\n \"avg_line_length\": 35.074073791503906,\n \"blob_id\": \"9fe4827cbf42d0183fe12df26d30b4757ca40c59\",\n \"content_id\": \"4406d307c41e69e0e3b4c3dcb13b549539c5f90e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 999,\n \"license_type\": \"no_license\",\n \"max_line_length\": 108,\n \"num_lines\": 27,\n \"path\": \"/Posti Letto/esPostiLetto4.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# NUMERO DI LETTI PER REGIONE (IN UN ANNO)\\r\\n#Raggruppo il conteggio dei letti per regione con il metodo groupBy, poi li sommo con sum.\\r\\n\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\ndati = pd.read_csv('posti_letto.csv', sep=';')\\r\\ndati = dati.convert_objects(convert_numeric=True)\\r\\n\\r\\n#dataset anno contenente solo voci relative all' anno 2014\\r\\nanno2013 = dati[dati['Anno'] == 2013]\\r\\n\\r\\n#del dataframe ci interessa solo la regione e il numero di posti letto \\r\\nlettiPerRegione = anno2013[ ['Descrizione Regione', 'Totale posti letto'] ].groupby('Descrizione Regione')\\r\\n\\r\\n\\r\\n#dataframe ottenuto ordinando e sommando tutti i valori i postiletti relativi al dataset \\r\\nrisultato = lettiPerRegione.sum().sort_values('Totale posti letto')\\r\\n\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Posti letto per regione nell' anno 2013: \\\\n *********\\\\n\\\")\\r\\n#invocando .plot.barh() sul dataset otteniamo un diagramma a barre orizziontali\\r\\nrisultato.plot.barh()\\r\\n\\r\\n#invocando .show() su plt lo stampiamo\\r\\n#plt.show()\"\n },\n {\n \"alpha_fraction\": 0.6897952556610107,\n \"alphanum_fraction\": 0.6981598138809204,\n \"avg_line_length\": 39.15737533569336,\n \"blob_id\": \"11b9a1db6a442ca17f12eb388155789661ec7d59\",\n \"content_id\": \"059715ab3f6dd5bc69bc84aeb39dd6a883ae53a8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 12577,\n \"license_type\": \"no_license\",\n \"max_line_length\": 136,\n \"num_lines\": 305,\n \"path\": \"/Nursery/esNursery.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\r\\nimport pandas as pd\\r\\nimport numpy as np\\r\\nimport seaborn as sns\\r\\nimport matplotlib.pyplot as plt\\r\\nimport time\\r\\n\\r\\nfrom sklearn.decomposition import PCA\\r\\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\\r\\n\\r\\nfrom sklearn.linear_model import LogisticRegression\\r\\nfrom sklearn.svm import SVC\\r\\nfrom sklearn.neighbors import KNeighborsClassifier\\r\\nfrom sklearn import tree\\r\\nfrom sklearn.neural_network import MLPClassifier\\r\\nfrom sklearn.ensemble import GradientBoostingClassifier\\r\\nfrom sklearn.tree import DecisionTreeClassifier\\r\\nfrom sklearn.gaussian_process.kernels import RBF\\r\\nfrom sklearn.ensemble import RandomForestClassifier\\r\\nfrom sklearn.naive_bayes import GaussianNB\\r\\n\\r\\n\\r\\ndata = pd.read_csv(\\\"nursery.csv\\\", sep=';')\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle prime 5 righe del dataset: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.head()) \\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle statistiche descrittive: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.describe())\\r\\nprint (\\\"\\\\n **********\\\\n Numero totale di dati e di attributi: \\\\n *********\\\\n\\\")\\r\\nprint(data.shape)\\r\\n\\r\\n\\r\\n#PREPROCESSING\\r\\n#data= data.convert_objects(convert_numeric=True)\\r\\n\\r\\n# non ci sono dati mancanti. Parò ci sono molti dati \\r\\n# categoriali che vanno trasformati in numerici mediante la discretizzazione.\\r\\ndef label_encode(df, columns):\\r\\n for col in columns:\\r\\n le = LabelEncoder()\\r\\n col_values_unique = list(df[col].unique())\\r\\n le_fitted = le.fit(col_values_unique)\\r\\n \\r\\n col_values = list(df[col].values)\\r\\n le.classes_\\r\\n col_values_transformed = le.transform(col_values)\\r\\n df[col] = col_values_transformed\\r\\n \\r\\ndata = data.copy(deep=True)\\r\\nto_be_encoded_cols = data.columns.values\\r\\nlabel_encode(data, to_be_encoded_cols)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle prime 5 righe del dataset dopo il pre-processing: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.head()) \\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle statistiche descrittive dopo il pre-processing: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.describe())\\r\\n\\r\\n# Creo un nuovo file csv dove ci copio il dataset processato\\r\\nf = open(\\\"nursery2.csv\\\", \\\"a\\\")\\r\\ndata.to_csv('nursery2.csv', index = False ) #false= non scrive i nomi delle righe\\r\\nf.close()\\r\\n\\r\\n\\r\\n\\r\\n#ANALISI GRAFICA\\r\\n\\\"\\\"\\\"print (\\\"\\\\n **********\\\\n Grafico dopo il preprocessing: \\\\n *********\\\\n\\\")\\r\\ndata.plot( kind='barh', x='children', y='has_nurs' )\\r\\nplt.show()\\r\\n\\\"\\\"\\\"\\r\\n\\r\\n\\\"\\\"\\\"\\r\\nprint (\\\"\\\\n **********\\\\n Stampa istogramma con 30 colonne \\\\n *********\\\\n\\\")\\r\\nistogramma = data.hist(bins=30)\\r\\n\\r\\nistogramma.set_title('Relazione tra numero di bambini e presenza infermiera')\\r\\nistogramma.set_xlabel('Numero letti')\\r\\nistogramma.set_ylabel('Numero ospedali')\\r\\n\\r\\nplt.show()\\r\\n\\\"\\\"\\\"\\r\\n\\r\\n\\r\\n\\r\\n# ANALISI DEI DATI\\r\\n# Per ottenere maggiori informazioni su come ogni caratteristica è correlata con la Variabile Target, \\r\\n# possiamo calcolare e tracciare la matrice di correlazione delle features per il dataset.\\r\\n# La matrice di correlazione mostra le variabili fortemente correlate con la variabile target, che nel nostro caso\\r\\n# è la variabile 'class', è 'healt' (condizione di salute).\\r\\n# uso il metodo .corr\\r\\ncorrelation_matrix = data.corr()\\r\\nplt.figure(figsize=(50,20))\\r\\nax = sns.heatmap(correlation_matrix, vmax=1, square=True, \\r\\n annot=True, fmt='.2f', cmap='GnBu', cbar_kws={\\\"shrink\\\":.5}, robust=True)\\r\\nplt.title('Matrice di correlazione delle features', fontsize=20)\\r\\nplt.show()\\r\\n \\r\\n\\r\\n# Una matrice di correlazione è un buon modo per ottenere un quadro generale di come tutte le funzionalità nel set di \\r\\n# dati siano correlate tra loro. Per un set di dati con molte funzionalità potrebbe diventare molto grande e la \\r\\n# correlazione di una singola funzione con le altre caratteristiche diventa difficile da discernere.\\r\\n#Se vogliamo esaminare le correlazioni di una singola funzione, di solito è un'idea migliore visualizzarla sotto forma di grafico \\r\\n# a barre.\\r\\n\\r\\ndef display_corr_with_col(df, col):\\r\\n correlation_matrix = data.corr()\\r\\n correlation_type = correlation_matrix[col].copy()\\r\\n abs_correlation_type = correlation_type.apply(lambda x: abs(x))\\r\\n desc_corr_values = abs_correlation_type.sort_values(ascending=False)\\r\\n y_values = list(desc_corr_values.values)[1:]\\r\\n x_values = range(0, len(y_values))\\r\\n xlabels = list(desc_corr_values.keys())[1:]\\r\\n fig, ax = plt.subplots(figsize=(8,8))\\r\\n ax.bar(x_values, y_values)\\r\\n ax.set_title('Correlazione delle features con {}' .format(col), fontsize=20)\\r\\n ax.set_ylabel('Coefficiente di correlazione di Pearson', fontsize=16)\\r\\n plt.xticks(x_values, xlabels, rotation='vertical')\\r\\n plt.show()\\r\\n \\r\\ndisplay_corr_with_col(data, 'class')\\r\\n\\r\\n# Con il grafico a barre ritrovo gli stessi risultati della matrice di correlazione.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# CLASSIFICAZIONE E VALIDAZIONE\\r\\n# Costruzione modello di apprendimento automatico: ora verranno formati diversi modelli di Machine Learning e verranno \\r\\n# confrontati i loro risultati.\\r\\n\\r\\n#Divisione tra Train test e Set Test\\r\\ndef get_train_test(df, y_col, x_cols, ratio):\\r\\n \\\"\\\"\\\"\\r\\n Questo metodo trasforma il dataframe in un TRAIN set e in un TEST set, per questo bisogna specificare:\\r\\n 1. il ratio train: test(in genere 0.7)\\r\\n 2. la colonna con le Y_values\\r\\n \\\"\\\"\\\"\\r\\n mask = np.random.rand(len(df)) < ratio\\r\\n df_train = df[mask]\\r\\n df_test = df[~mask]\\r\\n \\r\\n Y_train = df_train[y_col].values\\r\\n Y_test = df_test[y_col].values\\r\\n X_train = df_train[x_cols].values\\r\\n X_test = df_test[x_cols].values\\r\\n return df_train, df_test, X_train, Y_train, X_test, Y_test\\r\\n\\r\\ny_col_glass = 'class'\\r\\nx_cols_glass = list(data.columns.values)\\r\\nx_cols_glass.remove(y_col_glass)\\r\\n\\r\\ntrain_test_ratio = 0.7\\r\\ndf_train, df_test, X_train, Y_train, X_test, Y_test = get_train_test(data, y_col_glass, x_cols_glass, train_test_ratio)\\r\\n\\r\\n\\r\\n# Affinchè io possa testare + classificatori, creo un dizionario \\r\\n# esso è fatto in modo che CHIAVI= nome dei classificatori\\r\\n# VALORI = istanze dei classificatori.\\r\\ndict_classifier = {\\r\\n \\\"Logistic Regression\\\": LogisticRegression(),\\r\\n \\\"Nearest Neighbors\\\": KNeighborsClassifier(3),\\r\\n \\\"Linear SVM\\\": SVC(kernel=\\\"linear\\\", C=0.025),\\r\\n \\\"Gradient Boosting Classifier\\\": GradientBoostingClassifier(n_estimators=10),\\r\\n \\\"Decision Tree\\\": tree.DecisionTreeClassifier(max_depth=5),\\r\\n \\\"Random Forest\\\": RandomForestClassifier(max_depth=5, n_estimators=10, max_features=1),\\r\\n \\\"Naive Bayes\\\": GaussianNB() \\r\\n}\\r\\n\\r\\n\\r\\ndef batch_classify(X_train, Y_train, X_test, Y_test, no_classifiers=5, verbose=True):\\r\\n \\r\\n dict_models = {} #Scorro il dizionario dei classificatori\\r\\n for classifier_name, classifier in list(dict_classifier.items())[:no_classifiers]:\\r\\n t_start = time.clock() #Modulo temporale per tenere traccia del tempo necessario ad addestrare il classificatore\\r\\n classifier.fit(X_train, Y_train) #Allena il classificatore\\r\\n t_end = time.clock()\\r\\n \\r\\n t_diff = t_end - t_start\\r\\n train_score = classifier.score(X_train, Y_train) #Scelta del classificatore sul set di allenamento\\r\\n test_score = classifier.score(X_test, Y_test) #Esegue il classificatore sul set di test\\r\\n \\r\\n dict_models[classifier_name] = {'model': classifier, 'train_score': train_score, 'test_score': test_score, 'train_time': t_diff}\\r\\n if verbose:\\r\\n print(\\\"trained {c} in {f:.2f} s\\\" .format(c=classifier_name, f=t_diff))\\r\\n return dict_models\\r\\n\\r\\n\\r\\n\\r\\n#\\r\\ndef display_dict_models(dict_models, sort_by='test_score'):\\r\\n cls = [key for key in dict_models.keys()]\\r\\n test_s = [dict_models[key]['test_score'] for key in cls]\\r\\n training_s = [dict_models[key]['train_score'] for key in cls]\\r\\n training_t = [dict_models[key]['train_time'] for key in cls]\\r\\n \\r\\n df_ = pd.DataFrame(data = np.zeros(shape=(len(cls),4)), columns = ['classifier','train_score','test_score','train_time'])\\r\\n for ii in range(0,len(cls)):\\r\\n df_.loc[ii,'classifier'] = cls[ii]\\r\\n df_.loc[ii,'train_score'] = training_s[ii]\\r\\n df_.loc[ii,'test_score'] = test_s[ii]\\r\\n df_.loc[ii,'train_time'] = training_t[ii]\\r\\n \\r\\n display(df_.sort_values(by=sort_by, ascending=False))\\r\\n \\r\\n# VALUTAZIONE CLASSIFICATORI\\r\\n# Dopo la definizione dei singoli classificatori è stata fatta una valutazione degli stessi al fine di individuarne \\r\\n# il migliore.\\r\\n\\r\\n# CLASSIFICATORE K-NEIGHBORS\\r\\nknn = KNeighborsClassifier(n_neighbors = 3)\\r\\nknn.fit(X_train, Y_train)\\r\\nY_pred = knn.predict(X_test)\\r\\nacc_knn = round(knn.score(X_train, Y_train) * 100, 2)\\r\\n\\r\\n# CLASSIFICATORE DECISION TREE\\r\\ndecision_tree = DecisionTreeClassifier()\\r\\ndecision_tree.fit(X_train, Y_train)\\r\\nY_pred = decision_tree.predict(X_test)\\r\\nacc_decision_tree = round(decision_tree.score(X_train, Y_train) * 100, 2)\\r\\n\\r\\n# CLASSIFICATORE RANDOM FOREST\\r\\nrandom_forest = RandomForestClassifier(n_estimators=1000)\\r\\nrandom_forest.fit(X_train, Y_train)\\r\\nY_pred = random_forest.predict(X_test)\\r\\nrandom_forest.score(X_train, Y_train)\\r\\nacc_random_forest = round(random_forest.score(X_train, Y_train) * 100, 2)\\r\\n\\r\\n# CLASSIFICATORE GAUSSIAN (NAIVE BAYES)\\r\\ngaussian = GaussianNB()\\r\\ngaussian.fit(X_train, Y_train)\\r\\nY_pred = gaussian.predict(X_test)\\r\\nacc_gaussian = round(gaussian.score(X_train, Y_train) * 100, 2)\\r\\n\\r\\nresults = pd.DataFrame({\\r\\n \\r\\n 'Model':['Nearest Neighbors','Decision Tree',\\r\\n 'Random Forest','Naive Bayes'],\\r\\n 'Score':[acc_knn, acc_decision_tree,\\r\\n acc_random_forest, acc_gaussian]})\\r\\nresult_df = results.sort_values(by='Score', ascending=False)\\r\\nresult_df = result_df.set_index('Score')\\r\\nresult_df.head(8)\\r\\nprint (results)\\r\\n# Come è possibile notare i Classificatori Random Forest e Decision Tree hanno una percentutale del 100%, quindi sono \\r\\n# quelli più adatti a fare una valutazione\\r\\n#??? NON VEDO NESSUN OUTPUT\\r\\n\\r\\n\\r\\n\\r\\n#CROSS VALIDATION per Random Forest.\\r\\n#Per valutare il classificatore è stata fatta un’ulteriore verifica \\r\\n#applicando una convalida incrociata.\\r\\n#Il Cross Validation divide casualmente il train set in k sottoinsiemi chiamati folds.\\r\\n#Se dividessi i dati in 10 folds(K = 10),il modello del classificatore verrebbe \\r\\n# addestrato e valutato 10 volte, usando ogni volta 9 fold da train test e 1 fold da test set \\r\\n#Pertanto ottengo un array con 10 punteggi diversi.\\r\\nprint (\\\"\\\\n **********\\\\n Risultati cross validation \\\\n *********\\\\n\\\")\\r\\nfrom sklearn.model_selection import cross_val_score\\r\\nrf = RandomForestClassifier(n_estimators=100)\\r\\nscores = cross_val_score(rf, X_train, Y_train, cv=10, scoring = \\\"accuracy\\\")\\r\\nprint(\\\"Punteggio: \\\", scores)\\r\\nprint(\\\"Media: \\\", scores.mean())\\r\\nprint(\\\"Deviazione standard: \\\", scores.std())\\r\\n\\r\\n# Come si può osservare dall'output il modello usato (Random Forest) ha una precisione media del 94% con una deviazione \\r\\n# standard del 0.06%,che ci mostra, quanto precise sono le stime. Ciò significa che la precisione del nostro modello \\r\\n# può variare di +/- 0.06%. Dunque, a seguito di questa verifica, la precisione continua ad essere ancora buona per cui \\r\\n# nelle fasi successive si proverà a migliorare ulteriormente le prestazioni del Random Forest.\\r\\n\\r\\n\\r\\n# Matrice di Confusione per Random Forest\\r\\nfrom sklearn.model_selection import cross_val_predict\\r\\nfrom sklearn.metrics import confusion_matrix\\r\\npredictions = cross_val_predict(random_forest, X_train, Y_train, cv=3)\\r\\nconfusion_matrix(Y_train, predictions)\\r\\n\\r\\n# PRECISIONE E RECALL (per il random forest)\\r\\nfrom sklearn.metrics import precision_score, recall_score\\r\\nprint(\\\"Precision: \\\", precision_score(Y_train, predictions))\\r\\nprint(\\\"Recall: \\\", recall_score(Y_train, predictions))\\r\\n\\r\\n\\r\\n\\\"\\\"\\\"\\r\\n# Ora invece CROSS VALIDATION per Decision Tree\\r\\nfrom sklearn.model_selection import cross_val_score\\r\\nrf = DecisionTreeClassifier()\\r\\nscores = cross_val_score(rf, X_train, Y_train, cv=10, scoring = \\\"accuracy\\\")\\r\\nprint(\\\"Scores: \\\", scores)\\r\\nprint(\\\"Mean: \\\", scores.mean())\\r\\nprint(\\\"Standard deviation: \\\", scores.std())\\r\\n\\r\\n# Abbiamo all'incirca gli stessi risultati del Random Forest per quanto riguarda la deviazione standard (0.04%), mentre\\r\\n# la precisione media è del 96%, quindi molto più accurato del Random Forest.\\r\\n\\r\\n\\r\\n# Matrice di Confusione per Decision Tree\\r\\nfrom sklearn.model_selection import cross_val_predict\\r\\nfrom sklearn.metrics import confusion_matrix\\r\\npredictions = cross_val_predict(decision_tree, X_train, Y_train, cv=3)\\r\\nconfusion_matrix(Y_train, predictions)\\r\\n\\r\\n# PRECISION E RECALL\\r\\nfrom sklearn.metrics import precision_score, recall_score\\r\\nprint(\\\"Precision: \\\", precision_score(Y_train, predictions))\\r\\nprint(\\\"Recall: \\\", recall_score(Y_train, predictions))\\r\\n\\\"\\\"\\\"\"\n },\n {\n \"alpha_fraction\": 0.6689956188201904,\n \"alphanum_fraction\": 0.6742358207702637,\n \"avg_line_length\": 34.78125,\n \"blob_id\": \"3aadf63ced96c3106a6a256622cc507a067cafd9\",\n \"content_id\": \"3d367159a827220d2011a33fea4c2238c090918b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 1145,\n \"license_type\": \"no_license\",\n \"max_line_length\": 177,\n \"num_lines\": 32,\n \"path\": \"/README.md\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Data-Mining-in-Python-Examples\\n## Disclaimer\\n1) The codes I'm sharing contain comments and variable names in italian. (but maybe you'll result to understand since the codes are quite easy). \\n2) The codes could have errors. If you find them you can use Github you can fix the code. Thank you!\\n\\n## What is Data Mining\\nIt's the the set of techniques and methodologies which have as their object the extraction of useful information from large quantities of data (databases, data warehouses, etc.)\\n\\n## What you can find in this Repo\\nYou'll learn how to work in Python on given datasets in \\\"excel\\\" format (.csv).\\nYou'll mostly use the Pandas Library.\\n\\n## How to Support me\\n| | |\\n| ------ | ------ |\\n| Telegram Channel | [link][tg] |\\n| XDA Forum | [link][xda] |\\n| Tech Blog | [link][cam] |\\n| Instagram | [link][insta] |\\n| Youtube | [link][yt] |\\n\\n<a href=\\\"https://paypal.me/donationMikel\\\">\\n <img src=\\\"images/donate_icon.png\\\"\\n alt=\\\"closeup\\\"\\n width=\\\"250\\\"/></a>\\n \\n \\n[xda]: <http://bit.ly/2NBnhqB>\\n[insta]: <http://bit.ly/mikel_insta>\\n[yt]: <http://bit.ly/mikel_YT>\\n[cam]:<https://cam.tv/mik_el_tech>\\n[tg]:<https://bit.ly/Mikel_TG>\\n\"\n },\n {\n \"alpha_fraction\": 0.655978262424469,\n \"alphanum_fraction\": 0.664673924446106,\n \"avg_line_length\": 22.50666618347168,\n \"blob_id\": \"75672d1d9e54000636173ff474380faea9b185d4\",\n \"content_id\": \"3378731e8fc8e4dcce8a79ff67cb0157ab6eaecf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1845,\n \"license_type\": \"no_license\",\n \"max_line_length\": 97,\n \"num_lines\": 75,\n \"path\": \"/siadm/Sia1.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\r\\n#Il file SIA_DM.XLS contiene i dati di 1500 clienti di un azienda\\r\\n\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\npd.options.mode.chained_assignment = None #\\r\\n\\r\\nimport time #time e datetime per operazioni sulle date\\r\\nimport datetime\\r\\nimport numpy as np\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\ndataFrame = pd.read_excel(\\\"SIA_DM.xls\\\") \\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\nprint('\\\\n **********\\\\n Visualizzazione delle prime 5 righe del data frame \\\\n **********\\\\n')\\r\\ndisplay(dataFrame.head())\\r\\nprint('\\\\n')\\r\\n\\r\\nprint('\\\\n **********\\\\n Statistiche descrittive \\\\n **********\\\\n')\\r\\ndisplay(dataFrame.info()) #.describe()\\r\\n\\r\\nprint('\\\\n **********\\\\n Il numero di righe e di colonne è:\\\\n **********\\\\n', dataFrame.shape)\\r\\n\\r\\n#Stampa del tipo di attributi\\r\\nprint (\\\"\\\\n **********\\\\n Stampa del datatype di ogni colonna: \\\\n *********\\\\n\\\") \\r\\ndisplay(dataFrame.dtypes)\\r\\n\\r\\n\\r\\n\\r\\n# RICHIESTA 1) verificare che i Social Security Numbers siano tutti diversi\\r\\n# Verificare che Social Security Numbers siano tutti diversi\\r\\n\\r\\nprint('\\\\n **********\\\\n Verifica che Social Security Numbers siano tutti diversi \\\\n **********\\\\n')\\r\\n\\r\\nssn_totali = dataFrame['SSN'].size\\r\\nssn_unici = dataFrame['SSN'].unique().size\\r\\nssn_differenza = ssn_totali - ssn_unici\\r\\nif ssn_differenza != 0:\\r\\n print('Sono presenti', ssn_differenza,'SSN che si ripetono, ovvero i seguenti:')\\r\\n display(dataFrame['SSN'].value_counts().iloc[0:ssn_differenza])\\r\\nelse:\\r\\n print('Tutti i Social Security Numbers sono diversi')\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n#3)verificare se i valori del campo eta` (age) contengono valori\\r\\n#improbabili (problema “anno 2000”)\\r\\n\\r\\n\\r\\n\\r\\n#4)verificare il campo region (possibili errori di digitazione!!)\\r\\n\\r\\n\\r\\n\\r\\n#5)verificare il campo CredCardUser (possibile errore di formattazione)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n#6)Verificare i campi Income e Purchases per missing values e outliers\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.6436525583267212,\n \"alphanum_fraction\": 0.6495916843414307,\n \"avg_line_length\": 27.19565200805664,\n \"blob_id\": \"e8965fd3505512683c52105a142fe7002c400006\",\n \"content_id\": \"25ceae74950930c1bb643799c1cbbba46f987b19\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1355,\n \"license_type\": \"no_license\",\n \"max_line_length\": 114,\n \"num_lines\": 46,\n \"path\": \"/siadm/Sia3.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\npd.options.mode.chained_assignment = None #\\r\\n\\r\\nimport time #time e datetime per operazioni sulle date\\r\\nimport datetime\\r\\nimport numpy as np\\r\\n\\r\\n\\r\\n\\r\\ndataFrame = pd.read_excel(\\\"SIA_DM.xls\\\")\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\n# RICHIESTA 3\\r\\n#Verificare se i valori del campo età (age) contengono valori improbabili.\\r\\n\\r\\nprint('Sto verificando e rimpiazzando gli errori nel campo età...')\\r\\n\\r\\n# Cattura eccezioni sulla conversione ad intero per verificare la presenza di stringhe al posto di valori numerici\\r\\ni = 0\\r\\nfor tmp in dataFrame['Age']:\\r\\n try:\\r\\n int(tmp)\\r\\n i = i + 1\\r\\n except:\\r\\n print('Età non riconosciuta', tmp)\\r\\n # Rimpiazza l'età errata con il valore 0\\r\\n dataFrame.loc[i, 'Age'] = 0\\r\\n i = i + 1\\r\\n\\r\\n# Confronta l'età che dovrebbe avere nell'anno corrente rispetto all'età riportata nel data frame.\\r\\n\\\"\\\"\\\"\\r\\ni = 0\\r\\nanno_corrente = datetime.date.today().year\\r\\nfor eta_letta in dataFrame['Age']:\\r\\n eta_corretta = anno_corrente - dataFrame.loc[i].Birthdate.year\\r\\n if eta_corretta != eta_letta:\\r\\n # Rimpiazza l'età errata con l'età corretta\\r\\n dataFrame.loc[i, 'Age'] = eta_corretta\\r\\n i = i + 1\\r\\n\\\"\\\"\\\"\\r\\n \\r\\nprint('\\\\n **********\\\\n Stampa dataframe: \\\\n **********\\\\n') \\r\\ndisplay(dataFrame)\\r\\n \"\n },\n {\n \"alpha_fraction\": 0.6286472082138062,\n \"alphanum_fraction\": 0.6348364353179932,\n \"avg_line_length\": 22.688888549804688,\n \"blob_id\": \"b9efb2ae8e8d62b22393a00da8c6382d4deeb7c3\",\n \"content_id\": \"8dd65f391cebea21316be9d5aefd41c465f39453\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1131,\n \"license_type\": \"no_license\",\n \"max_line_length\": 77,\n \"num_lines\": 45,\n \"path\": \"/Posti Letto/esPostiLetto1.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"\\\" commento multilinea\\\"\\\"\\\"\\r\\n\\r\\n\\\"\\\"\\\"\\\"\\r\\nESPLORARE UN DATASET di posti letto\\r\\n\\\"\\\"\\\"\\r\\n#pd.set_option('display.float_format', True)\\r\\n#pd.set_option('display.max_columns', None) \\r\\n\\r\\n#pd.set_option('display.expand_frame_repr', False)\\r\\n#pd.set_option('max_colwidth', -1)\\r\\n\\r\\n#pd.options.display.width = None\\r\\n\\r\\n#pd.options.display.max_rows = 1000\\r\\n\\r\\n\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\n#pd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\npd.options.display.max_columns = None\\r\\npd.options.display.width=None\\r\\n\\r\\ndati = pd.read_csv('posti_letto.csv', sep=';')\\r\\n\\r\\nprint(dati.info())\\r\\ndati = dati.convert_objects(convert_numeric=True)\\r\\n\\r\\nprint(dati.info())\\r\\nprint (\\\"\\\\n **********\\\\n Stampa le prime 5 righe del file \\\\n *********\\\\n\\\")\\r\\n#with pd.option_context('expand_frame_repr', False):\\r\\n# print(dati.head(5))\\r\\n\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa il data type per ogni colonna \\\\n *********\\\\n\\\")\\r\\n#print(dati.dtypes)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa statistiche descrittive \\\\n *********\\\\n\\\")\\r\\n#print(dati.describe)\\r\\n\\r\\n\\r\\n\\r\\n#documentazione pandas https://pandas.pydata.org/pandas-docs/stable/\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.6658333539962769,\n \"alphanum_fraction\": 0.6708333492279053,\n \"avg_line_length\": 34.42424392700195,\n \"blob_id\": \"79f85435c3134ad5fd91852eec944c5d723074d4\",\n \"content_id\": \"b0c8a5a0ffb7c5d6e14d0f565a2c0e4944005136\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1200,\n \"license_type\": \"no_license\",\n \"max_line_length\": 207,\n \"num_lines\": 33,\n \"path\": \"/siadm/Sia4.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\npd.options.mode.chained_assignment = None #\\r\\n\\r\\nimport time #time e datetime per operazioni sulle date\\r\\nimport datetime\\r\\nimport numpy as np\\r\\n\\r\\n\\r\\ndataFrame = pd.read_excel(\\\"SIA_DM.xls\\\")\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\n# RICHIESTA 4\\r\\n#Verificare il campo region, possibili errori di digitazione.\\r\\n\\r\\nprint('Sto Verificando il campo region nel caso in cui ci fossero errori di digitazione.')\\r\\n\\r\\n# Verifica se ogni istanza del data frame abbia un valore corretto nel campo 'Region'\\r\\n# .lstrip() serve a ignorare gli spazi a sinistra della stringa.\\r\\ni = 0\\r\\ncont_err = 0\\r\\nfor reg in dataFrame['Region']:\\r\\n if (dataFrame.loc[i, 'Region'].lstrip() != 'North') & (dataFrame.loc[i, 'Region'].lstrip() != 'South') & (dataFrame.loc[i, 'Region'].lstrip() != 'East') & (dataFrame.loc[i, 'Region'].lstrip() != 'West'):\\r\\n print('Riga errata: ', i+1)\\r\\n cont_err = cont_err + 1\\r\\n i = i + 1\\r\\nprint('Vi sono', cont_err,'istranze errate nell\\\\'attributo Region')\\r\\n\\r\\n\\r\\nprint('\\\\n **********\\\\n Stampa dataframe, dato che si tratta solo di una verifica non ho corretto i dati: \\\\n **********\\\\n') \\r\\ndisplay(dataFrame)\"\n },\n {\n \"alpha_fraction\": 0.6570680737495422,\n \"alphanum_fraction\": 0.6629580855369568,\n \"avg_line_length\": 30.255319595336914,\n \"blob_id\": \"4c666cc673c24a09ea7d435bf7e580e2086e0c0b\",\n \"content_id\": \"846cd5a21fa8d0174bd5fa93598bb5c4fec7621e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1528,\n \"license_type\": \"no_license\",\n \"max_line_length\": 108,\n \"num_lines\": 47,\n \"path\": \"/siadm/Sia5.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\npd.options.mode.chained_assignment = None #\\r\\n\\r\\nimport time #time e datetime per operazioni sulle date\\r\\nimport datetime\\r\\nimport numpy as np\\r\\n\\r\\n\\r\\ndataFrame = pd.read_excel(\\\"SIA_DM.xls\\\")\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\n# RICHIESTA 5\\r\\n# Verificare il campo CredCardUser, possibili errori di formattazione.\\r\\nprint('\\\\n **********\\\\n Verificare il campo CredCardUser, possibili errori di formattazione \\\\n **********\\\\n')\\r\\n\\r\\n# Cattura l'eccezione durante la conversione ad intero per evidenziare errori di formattazione.\\r\\ni = 0\\r\\ncount_err = 0\\r\\nfor tmp in dataFrame['CredCardUser']:\\r\\n try:\\r\\n int(tmp)\\r\\n i = i + 1\\r\\n except:\\r\\n print('Valore CredCardUser non riconosciuto', tmp)\\r\\n print('Nell\\\\'istanza:', i+1)\\r\\n count_err = count_err + 1\\r\\n i = i + 1\\r\\n\\r\\nif count_err == 0:\\r\\n print('Non ci sono errori di formattazione nell\\\\'attributo CredCardUser')\\r\\n \\r\\n\\r\\n#RICHIESTA 6 \\r\\n# Verificare i campi Income e Purchases per missing values e outliers.\\r\\n\\r\\n\\r\\nprint('\\\\n **********\\\\n Elenco delle istanze con missing values per attributo Income: \\\\n **********\\\\n')\\r\\ndisplay(dataFrame[dataFrame['Income'].isnull()])\\r\\n\\r\\nprint('\\\\n **********\\\\n Elenco delle istanze missing values con attributo Purchases: \\\\n **********\\\\n')\\r\\ndisplay(dataFrame[dataFrame['Purchases'].isnull()])\\r\\n\\r\\n# Per identificare i possibili outliers si considera la media e la deviazione standard\\r\\n#print(dataFrame['Income'].mean())\\r\\n\\r\\n \\r\\n \"\n },\n {\n \"alpha_fraction\": 0.6947097778320312,\n \"alphanum_fraction\": 0.7002204060554504,\n \"avg_line_length\": 35.83333206176758,\n \"blob_id\": \"cf39d9b38b8f6f749c48a896bbe8f72595f51a65\",\n \"content_id\": \"f841efd3427d2129f286365870341c25823c4c98\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2726,\n \"license_type\": \"no_license\",\n \"max_line_length\": 125,\n \"num_lines\": 72,\n \"path\": \"/Posti Letto/da.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"WINDOWS-1252\",\n \"text\": \"#Per fare una statica completa dei posti letto per regione\\r\\n#ci serve anche la popolazione per regione\\r\\n#che non è presente nel database originario. \\r\\n#Quindi creiamo un nuovo database con: codice regione e popolazione. \\r\\n#Dobbiamo combinazione di due database.\\r\\n\\r\\n\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\n\\r\\n# Carica il primo csv 'postiletto1.csv'\\r\\ndati = pd.read_csv( 'posti_letto.csv', sep=';' )\\r\\ndati = dati.convert_objects( convert_numeric=True )\\r\\n\\r\\n# selezione dei dati per anno 2011\\r\\nanno = dati[ dati['Anno'] == 2011 ]\\r\\n\\r\\n#???\\r\\nletti = anno[ [ 'Codice Regione', 'Descrizione Regione', 'Totale posti letto' ] ]\\r\\n\\r\\n#raggruppamento dei dati per codice regione\\r\\nletti = letti.groupby( ['Codice Regione' ] )\\r\\n#MIK\\r\\nprint (\\\"\\\\n **********\\\\n Dati ragguppati per regione: \\\\n *********\\\\n\\\")\\r\\nprint(letti)\\r\\n\\r\\n#aggregazione dei dati (il numero di posti letto viene sommato)\\r\\nletti = letti.aggregate( { 'Descrizione Regione':'first', 'Totale posti letto':'sum' } )\\r\\n#MIK\\r\\nprint (\\\"\\\\n **********\\\\n Dati aggregati: \\\\n *********\\\\n\\\")\\r\\nprint(letti)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# Carica il secondo csv 'popolazione.csv'\\r\\ndati2 = pd.read_csv( 'popolazione.csv', sep=';', thousands='.' )\\r\\ndati2 = dati2.convert_objects( convert_numeric=True )\\r\\ndati2n = dati2.rename( columns={'CODICE REGIONE': 'Codice Regione', 'TOTALE':'Popolazione'} )\\r\\n\\r\\n# Raggruppo i cittadin per Codice regione e sommo tutti i loro cvalori. \\r\\n# Il risultato e'¨ la lista delle regioni con associato il numero di abitanti\\r\\npopolazione = dati2[ ['Codice Regione', 'Popolazione' ] ].groupby( 'Codice Regione' ).sum()\\r\\n\\r\\n\\r\\n## join tra i dataframe popolazione e letti. Serve almeno una variabile con lo stesso nome (nel nostro caso Codice Regione).\\r\\nlettiEPopolazione = popolazione.join( letti )\\r\\n\\r\\n# Aggiungiamo una colonna: 'Letti per Cittadino' che e' data da 'Totale posti letto'/'Popolazione'\\r\\nlettiEPopolazione['Letti per Cittadino'] = lettiEPopolazione['Totale posti letto'] / lettiEPopolazione['Popolazione']\\r\\n\\r\\n# Ordinamento del nuovo dataframe \\r\\nordinato = lettiEPopolazione.sort_values( 'Letti per Cittadino' )\\r\\nprint (\\\"\\\\n **********\\\\n Dataframe ottenuto dal join e ordinato: \\\\n *********\\\\n\\\")\\r\\nprint(ordinato)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Statistiche descrittive dell' istanza Letti per Cittadino dopo il join: \\\\n *********\\\\n\\\")\\r\\nprint (ordinato['Letti per Cittadino'].describe())\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# Grafico, specifico tipo e cosa visuallizare sugli assi\\r\\nordinato.plot( kind='barh', x='Descrizione Regione', y='Letti per Cittadino' )\\r\\nplt.show()\\r\\n\\r\\n\\r\\n# la Lombardia, che sembrava possedere un numero spropositato di posti letto\\r\\n#non è più neanche al primo posto. \\r\\n#Le differenze tra le varie regioni sono attenuate\\r\\n#Il molise da ultimo per posti letto diventa il primo\"\n },\n {\n \"alpha_fraction\": 0.6696633696556091,\n \"alphanum_fraction\": 0.6799002289772034,\n \"avg_line_length\": 35.53940963745117,\n \"blob_id\": \"ba721a9447f2993faaa63de24ef538e9e99bcb3b\",\n \"content_id\": \"4d900e1e1bad7ba1823fe88cb8069fb35c8a4193\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 15310,\n \"license_type\": \"no_license\",\n \"max_line_length\": 148,\n \"num_lines\": 406,\n \"path\": \"/Bank Data/esBankData.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Il dataset Bank Data contiene informazioni bancarie e personali di alcuni clienti.\\r\\n#Si vogliono definire modelli di targeting per classificare i clienti e vedere la distribuzine del reddito, in base all'acquisto del PEP (Personal \\r\\n# Equity Plan)\\r\\n\\r\\n\\r\\nimport pandas as pd\\r\\nimport numpy as np\\r\\nimport seaborn as sns\\r\\nimport matplotlib.pyplot as plt\\r\\nimport time\\r\\n\\r\\nfrom sklearn.impute import SimpleImputer\\r\\nfrom sklearn.decomposition import PCA\\r\\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\\r\\nfrom sklearn.impute import SimpleImputer\\r\\n\\r\\nfrom sklearn.linear_model import LogisticRegression\\r\\nfrom sklearn.svm import SVC\\r\\nfrom sklearn.neighbors import KNeighborsClassifier\\r\\nfrom sklearn import tree\\r\\nfrom sklearn.neural_network import MLPClassifier\\r\\nfrom sklearn.ensemble import GradientBoostingClassifier\\r\\nfrom sklearn.tree import DecisionTreeClassifier\\r\\nfrom sklearn.gaussian_process.kernels import RBF\\r\\nfrom sklearn.ensemble import RandomForestClassifier\\r\\nfrom sklearn.naive_bayes import GaussianNB\\r\\n\\r\\n# Caricamento del dataset \\r\\ndata = pd.read_csv(\\\"bank-data.csv\\\", sep=';')\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa del n. tot di dati del n. tot di attributi: \\\\n *********\\\\n\\\")\\r\\nprint(data.shape)\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle prime 5 righe del dataset: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.head()) \\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle statistiche descrittive: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.describe())\\r\\nprint (\\\"\\\\n **********\\\\n Stampa del datatype di ogni colonna: \\\\n *********\\\\n\\\") \\r\\ndisplay(data.dtypes)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# PREPROCESSING\\r\\n# Normalizzazione delle fasce di età: \\r\\n# ● 0 = intervallo [18, 40] \\r\\n# ● 1 = intervallo [40, 60] \\r\\n# ● 2 = intervallo [60, 80] \\r\\n# ● 3 = intervallo [80, 100]\\r\\n\\r\\n#prendo le istanze di tipo 'age' dal dataset data\\r\\nage = data['age']\\r\\n#metto quei valori in una lista\\r\\ntitle = pd.Series([\\\"age\\\"])\\r\\n#con la funzione .cut vado a specificare i range per l' attributo\\r\\nnew_age = pd.cut(age, [18, 40, 60, 80, 100], labels=False, retbins=False, right=False)\\r\\nnew_age = title.append(new_age)\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle nuove fasce d'età per ogni persona: \\\\n *********\\\\n\\\") \\r\\nprint(new_age)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Istogramma delle nuove fasce d'età per ogni persona: \\\\n *********\\\\n\\\")\\r\\n\\r\\n \\r\\n\\r\\n#apro il dataset age.csv, inserisco la nuova colonna new_age e lo chiudo\\r\\nf = open(\\\"age.csv\\\", \\\"a\\\") #'a' crea un nuovo file se non esiste\\r\\nnew_age.to_csv('bank-data.csv', index = False )\\r\\nf.close()\\r\\n\\r\\ndata_con_newage = pd.read_csv(\\\"bank-data.csv\\\", sep=';')\\r\\ndisplay(data_con_newage.head())\\r\\n\\r\\n\\\"\\\"\\\"\\r\\nist1 = data_con_newage['new_age'].hist(bins=5, flagsize=(10,5))\\r\\nplt.show()#\\r\\n#.plot.barh()\\r\\n\\\"\\\"\\\"\\r\\n\\r\\n\\r\\n#non ci sono dati mancanti.\\r\\n#altrimenti usavo ad esempio data = data.fillna(0)\\r\\n\\r\\n#dati eterogeneri e tanti dati categoriali. \\r\\n#DISCRETIZZAZIONE: uniformare i dati categoriali trasformandoli in numerici\\r\\n #conversione in valori interi\\r\\ndata1 = data.copy(deep = True)\\r\\nto_be_encoded_cols = data1.columns.values\\r\\n\\r\\n\\r\\ndef label_encode(df, columns):\\r\\n for col in columns:\\r\\n le = LabelEncoder()\\r\\n col_values_unique = list(df[col].unique())\\r\\n le_fitted = le.fit(col_values_unique)\\r\\n \\r\\n col_values = list(df[col].values)\\r\\n le.classes_\\r\\n col_values_transformed = le.transform(col_values)\\r\\n df[col] = col_values_transformed\\r\\n \\r\\nto_be_encoded_cols = data.columns.values\\r\\nlabel_encode(data, to_be_encoded_cols)\\r\\n\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle prime 5 righe del dataset dopo il preprocessing: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.head(5)) \\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle statistiche descrittive del dataset dopo il preprocessing: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.describe())\\r\\n\\r\\n\\r\\n#ISTOGRAMMA\\r\\n\\\"\\\"\\\"print (\\\"\\\\n **********\\\\n Stampa istogramma con 30 colonne \\\\n *********\\\\n\\\")\\r\\nistogramma = data.hist(bins=30)\\r\\n\\r\\nistogramma.set_title('Relazione tra guadagno dei clienti e loro regione di provenienza')\\r\\nistogramma.set_xlabel('egion')\\r\\nistogramma.set_ylabel('income')\\r\\n\\r\\nplt.show()\\r\\n\\\"\\\"\\\"\\r\\n#ISTOGRAMMA 2\\r\\n#print (\\\"\\\\n **********\\\\n Stampa istogramma \\\\n *********\\\\n\\\")\\r\\n#data.plot.barh()\\r\\n\\r\\n\\r\\n\\r\\n#apriamo il file bank-data2, ci andiamo a copiare il dataset discretizzato\\r\\nf = open(\\\"bank-data2.csv\\\", \\\"a\\\")\\r\\ndata.to_csv('bank-data2.csv', index = False )\\r\\nf.close()\\r\\n\\r\\n# a questo punto rimuovo manualmente l’intera colonna dell’attributo ‘id’, in quanto non è utile ai fini della nostra analisi\\r\\n#e sostituiamo la colonna 'age' con quella appena creata.\\r\\n#PREPROCESSING FINITO\\r\\n\\r\\n# ANALISI GRAFICA dei dati\\r\\n# regione abitativa INNER_CITY (centro città), TOWN (città), RURAL (campagna), SUBURBAN (periferia).\\r\\n# Mi è utile pcomparare la statistiche (describe) sul reddito dei clienti in base alla regione.\\r\\n# poi costruisco un istogramma per vedere come la variabile ‘income’ viene distribuita.\\r\\nregion = data[['region', 'income']].groupby('region')\\r\\nsomma = region.sum().sort_values('income')\\r\\nsomma.plot.barh()\\r\\nprint (\\\"\\\\n **********\\\\n Statistiche sul reddito dei clienti in base alla regione abitativa: \\\\n *********\\\\n\\\")\\r\\nprint(somma.describe())\\r\\nprint (\\\"\\\\n **********\\\\n E relativo istogramma: \\\\n *********\\\\n\\\")\\r\\nplt.show()\\r\\n\\r\\n# Per fare l’analisi grafica ho dovuto effettuare una discretizzazione preliminare\\r\\n# metto una legenda per interpretare i dati dell’istogramma. \\r\\nprint (\\\" ● 0 = inner_city (centro città) \\\\n ● 1 = rural (campagna) \\\\n ● 2 = suburban (periferia) \\\\n ● 3 = town (città)\\\")\\r\\n\\r\\n\\r\\n# Vedo che il reddito oscilla da 20mila a 80mila.\\r\\n# Su 600 clienti circa la metà ha un reddito di circa 42000.00.\\r\\n# Dall’istogramma, invece, noto che i clienti con \\r\\n# reddito più alto sono concentrati nel centro città, mentre quelli con reddito più basso in periferia.\\r\\n\\r\\n \\r\\n# ANALISI SIMILI possono essere fatte per valutare ad esempio \\r\\n# distribuzione del reddito in base al matrimonio e al numero dei figli.\\r\\n# o altri attributi a disposizione nel dataset\\r\\n\\r\\nchildren = data[ data['children'] == 0 ]\\r\\nsom = children[ [ 'region', 'income', 'married' ] ]\\r\\nsom = som.groupby( ['region' ] )\\r\\nsom = som.aggregate( { 'income':'first', 'married': 'sum' } )\\r\\nsom.plot( kind='barh', x='income', y='married' )\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Statistiche sul reddito dei clienti senza figli: \\\\n *********\\\\n\\\")\\r\\nprint(som.describe())\\r\\nprint (\\\"\\\\n **********\\\\n E relativo istogramma: \\\\n *********\\\\n\\\")\\r\\nplt.show()\\r\\n\\r\\n\\r\\n# Distribuzione reddito di clienti sposati e con due figli.\\r\\nchildren = data[ data['children'] == 2 ]\\r\\nsom = children[ [ 'region', 'income', 'married' ] ]\\r\\nsom = som.groupby( ['region' ] )\\r\\nsom = som.aggregate( { 'income':'first', 'married': 'sum' } )\\r\\nsom.plot( kind='barh', x='income', y='married' )\\r\\nprint(som.describe())\\r\\nplt.show()\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Statistiche sul reddito dei clienti sposati e con 2 figli: \\\\n *********\\\\n\\\")\\r\\nprint(som.describe())\\r\\nprint (\\\"\\\\n **********\\\\n E relativo istogramma: \\\\n *********\\\\n\\\")\\r\\nplt.show()\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# ANALISI DEI DATI\\r\\n# Matrice correlaz con Variabile Target la variabile Pep\\r\\ncorrelation_matrix = data.corr()\\r\\nplt.figure(figsize=(50,20))\\r\\nax = sns.heatmap(correlation_matrix, vmax=1, square=True, \\r\\n annot=True, fmt='.2f', cmap='GnBu', cbar_kws={\\\"shrink\\\":.5}, robust=True)\\r\\nplt.title('Matrice di correlazione delle features', fontsize=20)\\r\\nprint (\\\"\\\\n **********\\\\n Matrice di correlazione: \\\\n *********\\\\n\\\")\\r\\nplt.show()\\r\\n\\r\\n# La matrice di correlazione mostra che l'unica variabile correlata con la target\\r\\n# è 'income'(reddito del cliente), anche se la correlazione è comunque bassa (0.21)\\r\\n# Si può notare però che le due variabili in maggior correlazione sono income ed age (0.17).\\r\\n\\r\\n\\r\\n# Per un dataset con molte funzionalità potrebbe diventare molto grande e la \\r\\n# correlazione di una singola funzione con le altre caratteristiche diventa difficile da discernere.\\r\\n#Se si desidera esaminare le correlazioni di una singola funzione, di solito è meglio un istogramma\\r\\ndef display_corr_with_col(df, col):\\r\\n correlation_matrix = data.corr()\\r\\n correlation_type = correlation_matrix[col].copy()\\r\\n abs_correlation_type = correlation_type.apply(lambda x: abs(x))\\r\\n desc_corr_values = abs_correlation_type.sort_values(ascending=False)\\r\\n y_values = list(desc_corr_values.values)[1:]\\r\\n x_values = range(0, len(y_values))\\r\\n xlabels = list(desc_corr_values.keys())[1:]\\r\\n fig, ax = plt.subplots(figsize=(8,8))\\r\\n ax.bar(x_values, y_values)\\r\\n ax.set_title('Correlazione delle features con {}' .format(col), fontsize=20)\\r\\n ax.set_ylabel('Coefficiente di correlazione di Pearson', fontsize=16)\\r\\n plt.xticks(x_values, xlabels, rotation='vertical')\\r\\n plt.show()\\r\\n \\r\\ndisplay_corr_with_col(data, 'pep')\\r\\n# Con il grafico a barre ritrovo gli stessi risultati della matrice di correlazione,\\r\\n#ma una variabile di correlazione in più: married.\\r\\n# I risultati dell'analisi ci fanno capire che generalmente la decisione di acquistare o meno il\\r\\n# PEP dipende da married, children e income, \\r\\n# che a sua volta è fortemente influenzato dai fattori children e married.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# CLASSIFICAZIONE E VALIDAZIONE\\r\\n# Costruzione modello di apprendimento automatico: ora verranno formati diversi modelli di Machine Learning e verranno \\r\\n# confrontati i loro risultati.\\r\\n\\r\\n\\r\\ndef get_train_test(df, y_col, x_cols, ratio):\\r\\n mask = np.random.rand(len(df)) < ratio \\r\\n df_train = df[mask]\\r\\n df_test = df[~mask]\\r\\n y_train = df_train[y_col].values\\r\\n y_test = df_test[y_col].values\\r\\n X_train = df_train[x_cols].values\\r\\n X_test = df_test[x_cols].values\\r\\n \\r\\n return df_train, df_test, X_train, y_train, X_test, y_test\\r\\n\\r\\ny_col_glass = 'pep'\\r\\nx_cols_glass = list(data.columns.values)\\r\\nx_cols_glass.remove(y_col_glass)\\r\\n\\r\\ntrain_test_ratio = 0.7\\r\\ndf_train, df_test, X_train, y_train, X_test, y_test = get_train_test(data, y_col_glass, x_cols_glass, train_test_ratio)\\r\\n\\r\\n# Creerò un dizionario, che \\r\\n# contiene come chiavi il nome dei classificatori e come valori un'istanza dei classificatori.\\r\\ndict_classifiers = {\\r\\n \\\"Nearest Neighbors\\\": KNeighborsClassifier(),\\r\\n \\\"Decision Tree\\\": tree.DecisionTreeClassifier(),\\r\\n \\\"Random Forest\\\": RandomForestClassifier(n_estimators=1000),\\r\\n \\\"Naive Bayes\\\": GaussianNB(),\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\ndef batch_classify(X_train, y_train, X_test, y_test, no_classifiers=5, verbose=True):\\r\\n \\r\\n dict_models={}\\r\\n \\r\\n for classifiers_name, classifier in list(dict_classifiers.items())[:no_classifiers]:\\r\\n t_start = time.clock()\\r\\n classifier.fit(X_train,y_train)\\r\\n t_end = time.clock()\\r\\n \\r\\n t_diff = t_end - t_start\\r\\n train_score = classifier.score(X_train, y_train)\\r\\n test_score = classifier.score(X_test, y_test)\\r\\n \\r\\n dict_models[classifier_name] = {'model': classifier, 'train_score':train_score, 'test_score':test_score, 'train_diff':t_diff}\\r\\n if verbose:\\r\\n print(\\\"trained {c} in {f:.2f} s\\\".format(c = classifier_name, f=t_diff))\\r\\n return dict_models\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\ndef display_dict_models(dict_models, sort_by='test_score'):\\r\\n cls = [key for key in dict_models.keys()]\\r\\n test_s = [dict_models[key]['test_score'] for key in cls]\\r\\n training_s = [dict_models[key]['train_score'] for key in cls]\\r\\n training_t = [dict_models[key]['train_time'] for key in cls]\\r\\n \\r\\n df_ = pd.DataFrame(data = np.zeros(shape=(len(cls),4)), columns = ['classifier','train_score','test_score','train_time'])\\r\\n for ii in range(0,len(cls)):\\r\\n df_.loc[ii,'classifier'] = cls[ii]\\r\\n df_.loc[ii,'train_score'] = training_s[ii]\\r\\n df_.loc[ii,'test_score'] = test_s[ii]\\r\\n df_.loc[ii,'train_time'] = training_t[ii]\\r\\n \\r\\n display(df_.sort_values(by=sort_by, ascending=False))\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n# VALUTAZIONE DEI CLASSIFICATORI\\r\\n# Dopo la definizione dei singoli classificatori è stata fatta una valutazione degli stessi al fine di individuarne \\r\\n# il migliore.\\r\\n\\r\\n# CLASSIFICATORE K-NEIGHBORS\\r\\nknn = KNeighborsClassifier(n_neighbors = 3)\\r\\nknn.fit(X_train, y_train)\\r\\nY_pred = knn.predict(X_test)\\r\\nacc_knn = round(knn.score(X_train, y_train) * 100, 2)\\r\\n\\r\\n# CLASSIFICATORE DECISION TREE\\r\\ndecision_tree = DecisionTreeClassifier()\\r\\ndecision_tree.fit(X_train, y_train)\\r\\nY_pred = decision_tree.predict(X_test)\\r\\nacc_decision_tree = round(decision_tree.score(X_train, y_train) * 100, 2)\\r\\n\\r\\n# CLASSIFICATORE RANDOM FOREST\\r\\nrandom_forest = RandomForestClassifier(n_estimators=1000)\\r\\nrandom_forest.fit(X_train, y_train)\\r\\nY_pred = random_forest.predict(X_test)\\r\\nrandom_forest.score(X_train, y_train)\\r\\nacc_random_forest = round(random_forest.score(X_train, y_train) * 100, 2)\\r\\n\\r\\n# CLASSIFICATORE GAUSSIAN (NAIVE BAYES)\\r\\ngaussian = GaussianNB()\\r\\ngaussian.fit(X_train, y_train)\\r\\nY_pred = gaussian.predict(X_test)\\r\\nacc_gaussian = round(gaussian.score(X_train, y_train) * 100, 2)\\r\\n\\r\\nresults = pd.DataFrame({\\r\\n \\r\\n 'Model':['Nearest Neighbors','Decision Tree',\\r\\n 'Random Forest','Naive Bayes'],\\r\\n 'Score':[acc_knn, acc_decision_tree,\\r\\n acc_random_forest, acc_gaussian]})\\r\\nresult_df = results.sort_values(by='Score', ascending=False)\\r\\nresult_df = result_df.set_index('Score')\\r\\nresult_df.head(8)\\r\\nprint (\\\"\\\\n **********\\\\n Risultati dei diversi classificatori: \\\\n *********\\\\n\\\")\\r\\nprint(results)\\r\\n\\r\\n# Come è possibile notare i Classificatori Random Forest e Decision Tree hanno una percentutale del 100%, quindi sono \\r\\n# quelli più adatti a fare una valutazione. La traccia però ci richiedere di fare una valutazione anche sui \\r\\n# classificatoi bayesiani, e confrontare i risultati.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n#CROSS VALIDATION\\r\\n# Ora invece esaminiamo il Classificatore Decision Tree\\r\\nfrom sklearn.model_selection import cross_val_score\\r\\nrf = DecisionTreeClassifier()\\r\\nscores = cross_val_score(rf, X_train, y_train, cv=10, scoring = \\\"accuracy\\\")\\r\\nprint (\\\"\\\\n **********\\\\n Accuratezza del decision Tree: \\\\n *********\\\\n\\\")\\r\\nprint(\\\"Scores: \\\", scores)\\r\\nprint(\\\"Mean: \\\", scores.mean())\\r\\nprint(\\\"Standard deviation: \\\", scores.std())\\r\\n\\r\\n# Il modello in questione ha una precisione media del 79% con una deviazione \\r\\n# standard del 0.10% circa,che ci mostra, quanto precise sono le stime\\r\\n#può variare di +/- 0.10%.\\r\\n\\r\\n# Matrice di Confusione per Decision Tree\\r\\nfrom sklearn.model_selection import cross_val_predict\\r\\nfrom sklearn.metrics import confusion_matrix\\r\\npredictions = cross_val_predict(decision_tree, X_train, y_train, cv=3)\\r\\nconfusion_matrix(y_train, predictions)\\r\\n\\r\\n# La prima riga della matrice di confusione riguarda le previsioni sui clienti non idonei a possedere un PEP: 169 \\r\\n# clienti sono stati classificati correttamente come non idonei (veri negativi), mentre 54 sono stati classificati per \\r\\n# errore come non idonei (falsi positivi). La seconda riga riguarda, invece, le previsioni sui clienti idonei: 41 che\\r\\n# per errore sono stati reputati idonei e 144 correttamente classificati come idonei.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n#PRECISIONE E RECALL\\r\\n# Decision Tree\\r\\nfrom sklearn.metrics import precision_score, recall_score\\r\\nprint(\\\"Precision: \\\", precision_score(y_train, predictions))\\r\\nprint(\\\"Recall: \\\", recall_score(y_train, predictions))\\r\\n\\r\\n# Il modello costruito prevede il 72% delle volte, una classificazione del cliente corretta(precisione)\\r\\n# La recall afferma che ha predetto la classificazione del 79% di clienti che sono effettivamente idonei.\"\n },\n {\n \"alpha_fraction\": 0.6257668733596802,\n \"alphanum_fraction\": 0.666871190071106,\n \"avg_line_length\": 31.224489212036133,\n \"blob_id\": \"5a16205b1cd9e3565d9b13fd8b80e9be86703840\",\n \"content_id\": \"1e605482fd31244a6e2320a0a5395b03fb3a69d6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1636,\n \"license_type\": \"no_license\",\n \"max_line_length\": 102,\n \"num_lines\": 49,\n \"path\": \"/Posti Letto/esPostiLetto2.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#RELAZIONE TRA NUMERO DI POSTI LETTO E NUMERO DI OSPEDALI\\r\\n\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\ndati = pd.read_csv('posti_letto.csv', sep=';')\\r\\ndati = dati.convert_objects(convert_numeric=True)\\r\\n\\r\\n#CHECK dei valori 2011\\r\\nanno2011 = [dati['Anno'] == 2011]\\r\\n#senza [] anno2011 è un oggetto di tipo series\\r\\nprint (\\\"\\\\n **********\\\\n Stampa dataset originale con ospendali censiti nel 2011 \\\\n *********\\\\n\\\")\\r\\ndisplay(anno2011)\\r\\nprint (\\\"\\\\n **********\\\\n Il datatype di anno2011 è: \\\\n *********\\\\n\\\")\\r\\nprint(type(anno2011))\\r\\n\\r\\n\\r\\n\\r\\n#ASSEGNAZIONE\\r\\n#con [] anno2011 viene castato a string\\r\\nanno2011_2 = dati[dati['Anno'] == 2011]\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa ospedali censiti nel 2011 Inseriti in un nuovo dataset \\\\n *********\\\\n\\\")\\r\\ndisplay(anno2011_2)\\r\\n\\r\\n\\r\\n#dataframe con una sola colonna\\r\\nletti = anno2011_2['Totale posti letto']\\r\\nprint (\\\"\\\\n **********\\\\n Il datatype di letti è: \\\\n *********\\\\n\\\")\\r\\nprint(type(anno2011))\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa statistiche descrittive sul dataset letti \\\\n *********\\\\n\\\")\\r\\nprint(letti.describe())\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa istogramma con 30 colonne \\\\n *********\\\\n\\\")\\r\\nistogramma = letti.hist(bins=30)\\r\\n\\r\\nistogramma.set_title('Relazione tra numero di letti e numero di ospedali')\\r\\nistogramma.set_xlabel('Numero letti')\\r\\nistogramma.set_ylabel('Numero ospedali')\\r\\n\\r\\nplt.show()\\r\\n\\r\\n#tanti ospedali hanno pochi posti letto\\r\\n#e pochi ospedali con tanti posti letto\\r\\n#senza il grafico la media non è \\\"affidabile\\\"\\r\\n# per questo il dato della media va sempre rapportato ad una rappresentazione grafica\\r\\n#da sola la media è un dato poco rappresentativo della realtà.\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.61869877576828,\n \"alphanum_fraction\": 0.6275143027305603,\n \"avg_line_length\": 32.12711715698242,\n \"blob_id\": \"c54d977d77ffb6e0e533969914bd99bb469c59e3\",\n \"content_id\": \"d17eb40b456bc77f42fdb8b9ad44b5e7fe4a41ee\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8056,\n \"license_type\": \"no_license\",\n \"max_line_length\": 133,\n \"num_lines\": 236,\n \"path\": \"/CRM/crm.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\r\\nimport sklearn as sk\\r\\nimport pandas as pd\\r\\nimport seaborn as sns\\r\\nimport time\\r\\nimport matplotlib.pyplot as plt\\r\\n\\r\\nfrom sklearn.impute import SimpleImputer\\r\\nfrom sklearn.decomposition import PCA\\r\\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\\r\\nfrom sklearn.impute import SimpleImputer\\r\\n\\r\\n# classifiers\\r\\nfrom sklearn.linear_model import LogisticRegression\\r\\nfrom sklearn.ensemble import RandomForestClassifier\\r\\nfrom sklearn import tree\\r\\nfrom sklearn.ensemble import GradientBoostingClassifier\\r\\nfrom sklearn.neighbors import KNeighborsClassifier\\r\\nfrom sklearn.gaussian_process.kernels import RBF\\r\\nfrom sklearn.tree import DecisionTreeClassifier\\r\\nfrom sklearn.naive_bayes import GaussianNB\\r\\n\\r\\ndata = pd.read_csv(\\\"CRM.csv\\\", sep=\\\";\\\")\\r\\npd.set_option('display.expand_frame_repr', False)\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa del n. tot di dati del n. tot di attributi: \\\\n *********\\\\n\\\")\\r\\nprint(data.shape)\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle prime 5 righe del dataset: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.head()) \\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle statistiche descrittive: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.describe())\\r\\nprint (\\\"\\\\n **********\\\\n Stampa del datatype di ogni colonna: \\\\n *********\\\\n\\\") \\r\\ndisplay(data.dtypes)\\r\\n\\r\\n\\r\\n############## PREPROCESSING #######################\\r\\n# Riempi i dati mancanti con lo 0\\r\\ndata = data.fillna(0)\\r\\n\\r\\n#######DISCRETIZZAZIONE (valori categorici -> valori numerici) ######\\r\\n\\r\\nnewdata = dict() #creo un dizionario newdata su cui va\\r\\nfor key in data.keys():\\r\\n if data[key].dtypes == 'object':\\r\\n#dichiaro una LabelEncoder() (trasformerà l'attributo categorico in numerico)\\r\\n le = LabelEncoder()\\r\\n#applico la le\\r\\n le.fit(data[key])\\r\\n\\r\\n newdata[key] = le.transform(data[key])\\r\\n else:\\r\\n newdata[key] = data[key]\\r\\n \\r\\n \\r\\n#Per applicare l'algoritmo di classificazione \\r\\n#copio i dati del dataset da un dizionario a un dataset (nuovo)\\r\\nres = pd.DataFrame.from_dict(newdata, orient='columns', dtype=None)\\r\\n\\r\\n\\r\\n###### se first_amount_spent e number_of_products =0 sostituisco la MEDIA ######\\r\\nnumpy_array = res.values\\r\\nX=numpy_array[:,[1,2]]\\r\\n#print(X)\\r\\n\\r\\nimp = SimpleImputer(missing_values=0, strategy=\\\"mean\\\")\\r\\nX = imp.fit_transform(X)\\r\\nprint(X[5])\\r\\n\\r\\n\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle prime 5 righe del dataset dopo il pre-processing: \\\\n *********\\\\n\\\")\\r\\ndisplay(res.head())\\r\\nprint (\\\"\\\\n **********\\\\n Stampa delle statistiche descrittive del dataset dopo il preprocessing: \\\\n *********\\\\n\\\")\\r\\ndisplay(data.describe())\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n######ANALISI GRAFICA ########\\r\\n\\r\\nprova = data[['first_amount_spend', 'center']].groupby('age51_89')\\r\\nprova2 = prova.sum().sort_values('first_amount_spend')\\r\\nprova2.plot.barh()\\r\\nprint (\\\"\\\\n **********\\\\n Istogramma che rappresenta first_amount_spent in relazione a età 51-89: \\\\n *********\\\\n\\\")\\r\\nplt.show\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n############### ANALISI DEI DATI MATRICE DI CORRELAZIONE ####################\\r\\n\\r\\ndata_copy = res.copy(deep=True)\\r\\ncorrelation_matrix = data_copy.corr()\\r\\nplt.figure(figsize=(50,20))\\r\\n\\r\\nax = sns.heatmap(correlation_matrix,square=True, annot=True, fmt='.2f', cmap='PuBu', robust=True)\\r\\n\\r\\nplt.title('Matrice correlazione', fontsize=20)\\r\\nplt.show()\\r\\n\\r\\n\\r\\n\\r\\n############### CLASSIFICAZIONE E VALIDAZIONE ####################\\r\\n#il metodo trasforma un dataframe in un train e test set, per questo bisogna specificare:\\r\\n #1-il ratio train: test (di solito=0.7)\\r\\n #2-la colonna con Y_values\\r\\ndef get_train_test(df, y_col, x_cols, ratio):\\r\\n \\r\\n mask = np.random.rand(len(df)) < ratio \\r\\n df_train = df[mask]\\r\\n #~ = Alt + 0126\\r\\n df_test = df[~mask]\\r\\n \\r\\n y_train = df_train[y_col].values\\r\\n y_test = df_test[y_col].values\\r\\n X_train = df_train[x_cols].values\\r\\n X_test = df_test[x_cols].values\\r\\n \\r\\n return df_train, df_test, X_train, y_train, X_test, y_test\\r\\n\\r\\n\\r\\n\\r\\n######################################\\r\\ny_col_glass = 'Y'\\r\\nx_cols_glass = list(data_copy.columns.values)\\r\\nx_cols_glass.remove(y_col_glass)\\r\\n\\r\\ntrain_test_ratio = 0.7\\r\\ndf_train, df_test, X_train, y_train, X_test, y_test = get_train_test(data_copy, y_col_glass, x_cols_glass, train_test_ratio)\\r\\n\\r\\n\\r\\n#######################################\\r\\ndict_classifiers = {\\r\\n \\\"Nearest Neighbors\\\": KNeighborsClassifier(),\\r\\n \\\"Decision Tree\\\": tree.DecisionTreeClassifier(),\\r\\n \\\"Random Forest\\\": RandomForestClassifier(n_estimators=1000),\\r\\n \\\"Naive Bayes\\\": GaussianNB(),\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n#######################################\\r\\ndef batch_classify(X_train, y_train, X_test, y_test, no_classifiers=5, verbose=True):\\r\\n \\r\\n dict_models={}\\r\\n \\r\\n for classifiers_name, classifier in list(dict_classifiers.items())[:no_classifiers]:\\r\\n t_start = time.clock()\\r\\n classifier.fit(X_train,y_train)\\r\\n t_end = time.clock()\\r\\n \\r\\n t_diff = t_end - t_start\\r\\n train_score = classifier.score(X_train, y_train)\\r\\n test_score = classifier.score(X_test, y_test)\\r\\n \\r\\n dict_models[classifier_name] = {'model': classifier, 'train_score':train_score, 'test_score':test_score, 'train_diff':t_diff}\\r\\n if verbose:\\r\\n print(\\\"trained {c} in {f:.2f} s\\\".format(c = classifier_name, f=t_diff))\\r\\n return dict_models\\r\\n\\r\\n\\r\\n#######################################\\r\\ndef display_dict_models(dict_models, sort_by='test_score'):\\r\\n cls = [key for key in dict_models.keys()]\\r\\n test_s = [dict_models[key]['test_score'] for key in cls]\\r\\n training_s = [dict_models[key]['train_score'] for key in cls]\\r\\n training_t = [dict_models[key]['train_time'] for key in cls]\\r\\n \\r\\n df_ = pd.DataFrame(data = np.zeros(shape=(len(cls),4)), columns = ['classifier','train_score','test_score','train_time'])\\r\\n for ii in range(0,len(cls)):\\r\\n df_.loc[ii,'classifier'] = cls[ii]\\r\\n df_.loc[ii,'train_score'] = training_s[ii]\\r\\n df_.loc[ii,'test_score'] = test_s[ii]\\r\\n df_.loc[ii,'train_time'] = training_t[ii]\\r\\n \\r\\n display(df_.sort_values(by=sort_by, ascending=False))\\r\\n\\r\\n\\r\\n\\r\\n#****** VALUTAZIONE DEI CLASSIFICATORI *******\\r\\n#accuracy score = knn.score(...)\\r\\n#CLASSIFICATORE K-NEIGHBORS\\r\\nknn = KNeighborsClassifier(n_neighbors = 3)\\r\\nknn.fit(X_train, y_train)\\r\\nY_pred = knn.predict(X_test)\\r\\nacc_knn = round(knn.score(X_train, y_train) * 100, 2)\\r\\n\\r\\n#CLASSIFICATORE DECISION TREE\\r\\ndecision_tree = DecisionTreeClassifier()\\r\\ndecision_tree.fit(X_train, y_train)\\r\\nY_pred = decision_tree.predict(X_test)\\r\\nacc_decision_tree = round(decision_tree.score(X_train, y_train) * 100, 2)\\r\\n\\r\\n#CLASSIFICATORE RANDOM FOREST\\r\\nrandom_forest = RandomForestClassifier(n_estimators=1000)\\r\\nrandom_forest.fit(X_train, y_train)\\r\\nY_pred = random_forest.predict(X_test)\\r\\nrandom_forest.score(X_train, y_train)\\r\\nacc_random_forest = round(random_forest.score(X_train, y_train) * 100, 2)\\r\\n\\r\\n#CLASSIFICATORE GAUSSIAN (NAIVE BAYES)\\r\\ngaussian = GaussianNB()\\r\\ngaussian.fit(X_train, y_train)\\r\\nY_pred = gaussian.predict(X_test)\\r\\nacc_gaussian = round(gaussian.score(X_train, y_train) * 100, 2)\\r\\n\\r\\nresults = pd.DataFrame({\\r\\n \\r\\n 'Model':['Nearest Neighbors','Decision Tree',\\r\\n 'Random Forest','Naive Bayes'],\\r\\n 'Score':[acc_knn, acc_decision_tree,\\r\\n acc_random_forest, acc_gaussian]})\\r\\n\\r\\n\\r\\nresult_df = results.sort_values(by='Score', ascending=False)\\r\\nresult_df = result_df.set_index('Score')\\r\\nresult_df.head(8)\\r\\nprint (\\\"\\\\n **********\\\\n Valutazione classificatori: \\\\n *********\\\\n\\\")\\r\\nprint (results)\\r\\n\\r\\n\\r\\n############ RANDOM FOREST: CROSS-VALIDATION ###############\\r\\nfrom sklearn.model_selection import cross_val_score\\r\\nprint (\\\"\\\\n **********\\\\n Cross validation/accuratezza Random Forest: \\\\n *********\\\\n\\\")\\r\\nrf = RandomForestClassifier(n_estimators=100)\\r\\nscores = cross_val_score(rf, X_train, y_train, cv=10, scoring = \\\"accuracy\\\")\\r\\nprint(\\\"Scores: \\\", scores)\\r\\nprint(\\\"Mean: \\\", scores.mean())\\r\\nprint(\\\"Standard deviation: \\\", scores.std())\\r\\n\\r\\n\\r\\n############ PRECISIONE E RECALL ###############\\r\\nfrom sklearn.metrics import precision_score, recall_score\\r\\n\\r\\nprint(\\\"Precision: \\\", precision_score(y_train, scores))\\r\\nprint(\\\"Recall: \\\", recall_score(y_train, scores))\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.6590509414672852,\n \"alphanum_fraction\": 0.6959578394889832,\n \"avg_line_length\": 27.842105865478516,\n \"blob_id\": \"67fb893105b4c816ff45432a4010dbeab6b535af\",\n \"content_id\": \"a0e8c6325069388afa6a0479463bbff13c047b64\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 569,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 19,\n \"path\": \"/Posti Letto/esPostiLetto3.py\",\n \"repo_name\": \"Mik-el/Data-Mining-in-Python-Examples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#OSPEDALE CON PIU' POSTI LETTO\\r\\nimport pandas as pd\\r\\nimport matplotlib.pyplot as plt\\r\\nimport csv\\r\\n\\r\\n\\r\\n\\r\\ndati = pd.read_csv('posti_letto.csv', sep=';', encoding= \\\"UTF-8\\\")\\r\\n\\r\\nanno2001 = dati[dati['Anno'] == 2011]\\r\\n#anno = dati['Anno'] == 2011\\r\\n#anno = dati #OK\\r\\nanno2001 = anno2001.sort_values('Totale posti letto', ascending=False)\\r\\n\\r\\npd.option_context('display.max_rows', None, 'display.max_columns', None)\\r\\n\\r\\n\\r\\n#stampa i soli attributi 'Denominzione struttura' e 'Totale posti letto' del dataset anno\\r\\nprint(anno[['Denominazione struttura', 'Totale posti letto']])\\r\\n\\r\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":14,"string":"14"}}},{"rowIdx":2984195,"cells":{"repo_name":{"kind":"string","value":"dikshantraj09/Shutdown-Over-the-Internet-"},"repo_url":{"kind":"string","value":"https://github.com/dikshantraj09/Shutdown-Over-the-Internet-"},"snapshot_id":{"kind":"string","value":"4ecf3743a0df1ff8273dcff4d1fd15943129c714"},"revision_id":{"kind":"string","value":"79c0e9aa9febc4e1acec445a42b42644cf5086d6"},"directory_id":{"kind":"string","value":"be4c2c7ef4b535e66329863d215caad155f748dc"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-11-10T13:03:58.716806","string":"2022-11-10T13:03:58.716806"},"revision_date":{"kind":"timestamp","value":"2020-06-22T14:07:53","string":"2020-06-22T14:07:53"},"committer_date":{"kind":"timestamp","value":"2020-06-22T14:07:53","string":"2020-06-22T14:07:53"},"github_id":{"kind":"number","value":266693714,"string":"266,693,714"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.628654956817627,"alphanum_fraction":0.6447368264198303,"avg_line_length":19.375,"blob_id":"5ea47a5439bb030a1d72aa75a40a1a54fc9e5e67","content_id":"cc90514ae63cb593ffcbac64735d8b7e40461105","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":684,"license_type":"no_license","max_line_length":50,"num_lines":32,"path":"/Server.py","repo_name":"dikshantraj09/Shutdown-Over-the-Internet-","src_encoding":"UTF-8","text":"#Run this on the Machine you want to shutdown\r\nimport os\r\nimport socket\r\nimport time\r\nimport sys\r\n\r\n\r\ns=socket.socket()\r\nprint(socket.gethostname())\r\nhost='0.0.0.0'\r\nport=96\r\ns.bind((host,port))\r\nprint(\"\\n Waiting For connection ...\\n\\n\")\r\ns.listen(9)\r\nconn,addr=s.accept()\r\nprint(\"\")\r\nprint(addr,\"-Connected\")\r\nprint(\"\")\r\n \r\ncommand=conn.recv(1024)\r\ncommand=command.decode()\r\nprint (\"\")\r\nif command == \"shutdown\" or command=='hibernate': \r\n print(\"\")\r\n print(\"Shutdown Command Recieved\")\r\n os.system(\"shutdown /s\")\r\nelif command=='hibernate': \r\n print(\"\")\r\n print(\"Hibernate Command Recieved\")\r\n os.system(\"shutdown /h\") \r\nelse:\r\n print(\"No or wrong Command\")\r\n"},{"alpha_fraction":0.767169177532196,"alphanum_fraction":0.7755444049835205,"avg_line_length":58.599998474121094,"blob_id":"44c8eb6b18927514120465ca19b8d3ce60800048","content_id":"9de70aee115901c6fd937ed3271a56a97e555e5d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":597,"license_type":"no_license","max_line_length":104,"num_lines":10,"path":"/README.md","repo_name":"dikshantraj09/Shutdown-Over-the-Internet-","src_encoding":"UTF-8","text":"# Shutdown-Over-the-Internet-\nThis is a simple server-client project made using sockets from pythons built in library.\n# Installation-\n1. Run the batch or .bat file on the system you are trying to shutdown.\n (This batch file is used for port forwarding from the internet to allow connection to your local ip)\n2. Run the Server File in Python3.\n3. Run the Client File on the device from which you are trying to access the other system. \n4. Now, Enter the command 'Shutdown'or 'Hibernate' and the remote system will be shutdown or Hibernated.\n\n#The port in client and the batch file should match \n"},{"alpha_fraction":0.7302631735801697,"alphanum_fraction":0.7434210777282715,"avg_line_length":19.200000762939453,"blob_id":"36da55bdad94d4d9e26c000531948fb9495e917e","content_id":"9e3a093290e596b3b9078c37c46a553caa518572","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":304,"license_type":"no_license","max_line_length":63,"num_lines":15,"path":"/Client.py","repo_name":"dikshantraj09/Shutdown-Over-the-Internet-","src_encoding":"UTF-8","text":"#Run this file on the system you want to send the command from.\nimport os\nimport socket\nimport time\nimport sys\n\ns=socket.socket()\nhost='serveo.net'\nport=9632\ns.connect((host,port))\nprint(\"\")\nprint(\"Connected To Server\")\ncommand=input(\"Enter the Command:\")\ns.send(command.encode())\nprint(\"Command Sent\")\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.628654956817627,\n \"alphanum_fraction\": 0.6447368264198303,\n \"avg_line_length\": 19.375,\n \"blob_id\": \"5ea47a5439bb030a1d72aa75a40a1a54fc9e5e67\",\n \"content_id\": \"cc90514ae63cb593ffcbac64735d8b7e40461105\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 684,\n \"license_type\": \"no_license\",\n \"max_line_length\": 50,\n \"num_lines\": 32,\n \"path\": \"/Server.py\",\n \"repo_name\": \"dikshantraj09/Shutdown-Over-the-Internet-\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#Run this on the Machine you want to shutdown\\r\\nimport os\\r\\nimport socket\\r\\nimport time\\r\\nimport sys\\r\\n\\r\\n\\r\\ns=socket.socket()\\r\\nprint(socket.gethostname())\\r\\nhost='0.0.0.0'\\r\\nport=96\\r\\ns.bind((host,port))\\r\\nprint(\\\"\\\\n Waiting For connection ...\\\\n\\\\n\\\")\\r\\ns.listen(9)\\r\\nconn,addr=s.accept()\\r\\nprint(\\\"\\\")\\r\\nprint(addr,\\\"-Connected\\\")\\r\\nprint(\\\"\\\")\\r\\n \\r\\ncommand=conn.recv(1024)\\r\\ncommand=command.decode()\\r\\nprint (\\\"\\\")\\r\\nif command == \\\"shutdown\\\" or command=='hibernate': \\r\\n print(\\\"\\\")\\r\\n print(\\\"Shutdown Command Recieved\\\")\\r\\n os.system(\\\"shutdown /s\\\")\\r\\nelif command=='hibernate': \\r\\n print(\\\"\\\")\\r\\n print(\\\"Hibernate Command Recieved\\\")\\r\\n os.system(\\\"shutdown /h\\\") \\r\\nelse:\\r\\n print(\\\"No or wrong Command\\\")\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.767169177532196,\n \"alphanum_fraction\": 0.7755444049835205,\n \"avg_line_length\": 58.599998474121094,\n \"blob_id\": \"44c8eb6b18927514120465ca19b8d3ce60800048\",\n \"content_id\": \"9de70aee115901c6fd937ed3271a56a97e555e5d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 597,\n \"license_type\": \"no_license\",\n \"max_line_length\": 104,\n \"num_lines\": 10,\n \"path\": \"/README.md\",\n \"repo_name\": \"dikshantraj09/Shutdown-Over-the-Internet-\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Shutdown-Over-the-Internet-\\nThis is a simple server-client project made using sockets from pythons built in library.\\n# Installation-\\n1. Run the batch or .bat file on the system you are trying to shutdown.\\n (This batch file is used for port forwarding from the internet to allow connection to your local ip)\\n2. Run the Server File in Python3.\\n3. Run the Client File on the device from which you are trying to access the other system. \\n4. Now, Enter the command 'Shutdown'or 'Hibernate' and the remote system will be shutdown or Hibernated.\\n\\n#The port in client and the batch file should match \\n\"\n },\n {\n \"alpha_fraction\": 0.7302631735801697,\n \"alphanum_fraction\": 0.7434210777282715,\n \"avg_line_length\": 19.200000762939453,\n \"blob_id\": \"36da55bdad94d4d9e26c000531948fb9495e917e\",\n \"content_id\": \"9e3a093290e596b3b9078c37c46a553caa518572\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 304,\n \"license_type\": \"no_license\",\n \"max_line_length\": 63,\n \"num_lines\": 15,\n \"path\": \"/Client.py\",\n \"repo_name\": \"dikshantraj09/Shutdown-Over-the-Internet-\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#Run this file on the system you want to send the command from.\\nimport os\\nimport socket\\nimport time\\nimport sys\\n\\ns=socket.socket()\\nhost='serveo.net'\\nport=9632\\ns.connect((host,port))\\nprint(\\\"\\\")\\nprint(\\\"Connected To Server\\\")\\ncommand=input(\\\"Enter the Command:\\\")\\ns.send(command.encode())\\nprint(\\\"Command Sent\\\")\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":3,"string":"3"}}},{"rowIdx":2984196,"cells":{"repo_name":{"kind":"string","value":"Yugdeep1996/First"},"repo_url":{"kind":"string","value":"https://github.com/Yugdeep1996/First"},"snapshot_id":{"kind":"string","value":"8f7fe377895ffea32858e022c2fb2c1b6437974e"},"revision_id":{"kind":"string","value":"90df7671c0a2781e2c3faefeb5a994a67f50167e"},"directory_id":{"kind":"string","value":"73a2795b002e39f2281592364d68e3bcd393097e"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-08-16T11:03:27.162483","string":"2023-08-16T11:03:27.162483"},"revision_date":{"kind":"timestamp","value":"2021-09-14T07:32:11","string":"2021-09-14T07:32:11"},"committer_date":{"kind":"timestamp","value":"2021-09-14T07:32:11","string":"2021-09-14T07:32:11"},"github_id":{"kind":"number","value":406264378,"string":"406,264,378"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.627106249332428,"alphanum_fraction":0.6329670548439026,"avg_line_length":28.673913955688477,"blob_id":"029c00d7e5aed95d10b37a193b6adce881aa7b0b","content_id":"7d2fab92398a4b4ff5097b7f8aee4eb3c8e311fa","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1365,"license_type":"no_license","max_line_length":69,"num_lines":46,"path":"/Django/Django_project/Django_app/function.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"# global variables used in Django_app/views.\nIFSC_Hit_Count = {}\nAPI_Hit_Count = {}\n\n\n# Create your functions here.\n\n\ndef api_count(request):\n '''\n The function counts all urls hits.\n\n Parameters:\n request: Required for retrieving complete requested url.\n '''\n \n # if url exists then increment its value by 1.\n if API_Hit_Count.get(str(request.build_absolute_uri())):\n val = API_Hit_Count.get(str(request.build_absolute_uri()))\n val += 1\n upgraded_dict = {str(request.build_absolute_uri()): val}\n API_Hit_Count.update(upgraded_dict)\n else:\n # update a new url with hit count as 1.\n API_Hit_Count.update({str(request.build_absolute_uri()): 1})\n return\n\n\ndef ifsc_count(request):\n '''\n The function counts all ifsc search urls hits.\n\n Parameters:\n request: Required for retrieving complete requested url.\n '''\n \n # if ifsc url exists then increment its value by 1.\n if IFSC_Hit_Count.get(str(request.build_absolute_uri())):\n val = IFSC_Hit_Count.get(str(request.build_absolute_uri()))\n val += 1\n upgraded_dict = {str(request.build_absolute_uri()): val}\n IFSC_Hit_Count.update(upgraded_dict)\n else:\n # update a new ifsc url with hit count as 1.\n IFSC_Hit_Count.update({str(request.build_absolute_uri()): 1})\n return\n"},{"alpha_fraction":0.5743885636329651,"alphanum_fraction":0.5799931883811951,"avg_line_length":36.272151947021484,"blob_id":"7a199854ecbd9c554ab1f88754f8e27b0fe64253","content_id":"2310538bcae9d6b9e6309ba39717dccd5ef16507","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5888,"license_type":"no_license","max_line_length":100,"num_lines":158,"path":"/Flask/Flask_project/app.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"from flask import Flask, request, jsonify \nimport pandas as pd\nimport time\nfrom path import workbook_path\n\nprint('Loading data...')\n# global variables declared.\nbank_data = []\nStatistics = []\nbank_leaderboard_data = []\n\n# storing xlsx data in memory.\n# reading xlsx Sheet1 data.\nworkbook1 = pd.read_excel(workbook_path, sheet_name = 'Sheet1')\nworkbook1.head()\n# extracting xlsx Sheet1 data. \nfor i in range(0, len(workbook1)):\n bank_data.append({\n \"BANK\": workbook1['BANK'][i],\n \"IFSC\": workbook1['IFSC'][i],\n \"MICR\": workbook1['MICR CODE'][i],\n \"CODE\": workbook1['BRANCH'][i],\n \"BRANCH\": workbook1['ADDRESS'][i],\n \"ADDRESS\": workbook1['STD CODE'][i],\n \"STD_CODE\": workbook1['CONTACT'][i],\n \"CITY\": workbook1['CITY'][i],\n \"DISTRICT\": workbook1['DISTRICT'][i],\n \"STATE\": workbook1['STATE'][i],\n })\n\n# reading xlsx Pivot Table_Sheet1_1 data.\nworkbook2 = pd.read_excel(workbook_path, sheet_name = 'Pivot Table_Sheet1_1')\nworkbook2.head()\n# extracting xlsx Pivot Table_Sheet1_1 data. \nfor i in range(1, len(workbook2)):\n bank_leaderboard_data.append({\n workbook2['BANK'][i]: str(workbook2['Count - BANK'][i]),\n })\n\n\napp = Flask(__name__) \napp.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False\n\n@app.route(\"/\")\ndef Search_ifsc_viewset(): \n return jsonify({'MESSAGE': 'Welcome user'})\n\n@app.route(\"/ifsc_search\")\ndef Search_ifsc_viewset():\n '''\n The function for searched ifsc with timestamp.\n\n Parameters:\n ifsc_code (String): The ifsc code to be searched.\n \n Returns:\n results: A list which contains the ifsc bank data.\n '''\n \n # requested parameter.\n if request.args.get('ifsc_code'):\n # storing ifsc code matched results\n results = [data for data in bank_data if data['IFSC'] == request.args.get('ifsc_code')]\n if results:\n # storing ifsc code with timestamp for statistics results.\n Statistics.append({request.args.get('ifsc_code'): str(time.time())})\n return jsonify(results)\n else: \n return jsonify({'MESSAGE': 'NO RESULTS FOUND'})\n else: \n return jsonify({'MESSAGE': 'ifsc_code parameter required'})\n\n@app.route(\"/bank_leader_board\", methods=['GET', 'POST'])\ndef bank_leader_board_viewset():\n '''\n The function for bank leader board data.\n\n Parameters:\n sortorder (String): The sorting order ASC/DESC,\n fetchcount (String): The counts to be fetched.\n \n Returns:\n results: A list which contains the bank leader board data.\n '''\n\n if bank_leaderboard_data:\n results = []\n if int(request.args.get('fetchcount')) <= len(bank_leaderboard_data):\n if request.args.get('sortorder') == 'ASC':\n # if sortorder is ASC then get results in ascending order.\n for i in range(0, int(request.args.get('fetchcount'))):\n results.append(bank_leaderboard_data[i]) \n else:\n # if sortorder is DESC then get results in descending order.\n for i in reversed(range(int(request.args.get('fetchcount')))):\n results.append(bank_leaderboard_data[i])\n return jsonify(results) \n else:\n if request.args.get('sortorder') == 'ASC':\n # if sortorder is ASC then get results in ascending order.\n for i in range(0, len(bank_leaderboard_data)):\n results.append(bank_leaderboard_data[i]) \n else:\n # if sortorder is DESC then get results in descending order.\n for i in reversed(range(len(bank_leaderboard_data))):\n results.append(bank_leaderboard_data[i]) \n return jsonify(results, {'MESSAGE': 'ONLY '+str(len(bank_leaderboard_data))+' RESULTS'})\n else: \n return jsonify({'MESSAGE': 'NO RESULTS'})\n\n\n@app.route(\"/stats\")\ndef statistics_viewset():\n '''\n The function for searched ifsc code with timestamp statistics data.\n\n Parameters:\n sortorder (String): The sorting order ASC/DESC,\n fetchcount (String): The counts to be fetched.\n \n Returns:\n results: A list which contains the ifsc statistics data.\n '''\n\n if Statistics:\n if request.args.get('fetchcount')=='ALL':\n # returning all ifsc statistics data.\n if request.args.get('sortorder') == 'DESC':\n Statistics.reverse()\n return jsonify(Statistics)\n else:\n results = []\n if int(request.args.get('fetchcount')) <= len(Statistics):\n # if sortorder is DESC then get results in descending order.\n if request.args.get('sortorder') == 'DESC':\n for i in reversed(range(int(request.args.get('fetchcount')))):\n results.append(Statistics[i]) \n else:\n # if sortorder is ASC then get results in ascending order.\n for i in range(0, int(request.args.get('fetchcount'))):\n results.append(Statistics[i])\n return jsonify(results) \n else: \n # if sortorder is DESC then get results in descending order.\n if request.args.get('sortorder') == 'DESC':\n for i in reversed(range(len(Statistics))):\n results.append(Statistics[i]) \n else:\n # if sortorder is ASC then get results in ascending order.\n for i in range(0, len(Statistics)):\n results.append(Statistics[i])\n return jsonify(results, {'MESSAGE': 'ONLY '+str(len(Statistics))+' RESULTS'})\n else: \n return jsonify({'MESSAGE': 'NO RESULTS'})\n\n\nif __name__ == '__main__': \n app.run(debug = False)"},{"alpha_fraction":0.6812682747840881,"alphanum_fraction":0.6908635497093201,"avg_line_length":37.66128921508789,"blob_id":"58c0636fdb0c549dc838f0421c84abaacff0be9b","content_id":"0a1aa19a42c1c03fa9d520c7cb72a95eabb66ef0","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":2399,"license_type":"no_license","max_line_length":302,"num_lines":62,"path":"/Django/README.md","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"PROJECT - GROUP DATA & ANALYTICS:\n In-memory analytics is an approach to querying data when it resides in a computer’s random access memory (RAM), as opposed to querying data that is stored on physical disks. This results in vastly shortened query response times, allowing analytic applications to support faster business decisions.\n\nREQUIREMENTS (Prerequisites):\n Python 3.6 and up.\n\nINSTALLATION:\n * for ubuntu:\n 1. Installing venv:\n sudo apt install python3-venv\n 2. Creating an environment (venv):\n python3 -m venv venv\n 3. Activating the venv:\n source venv/bin/activate\n\n * for windows:\n 1. Installing virtualenv:\n pip install virtualenv\n 2. Creating an environment (venv):\n virtualenv venv\n 3. Activating the venv:\n venv\\Scripts\\activate\n\n * Installing requirements in venv:\n for ubuntu:\n pip3 install -r requirements.txt\n for windows:\n pip install -r requirements.txt\n\nRUNNING THE TESTS:\n * for ubuntu:\n python3 manage.py test\n * for windows:\n python manage.py test\n\nRUNNING THE SERVER:\n * for ubuntu:\n 1. python3 manage.py migrate\n 2. python3 manage.py runserver\n * for windows:\n 1. python manage.py migrate\n 2. python manage.py runserver\n\nHOW TO CONTRIBUTE:\n Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate. If you'd like to contribute, please fork the repository and make changes as you'd like. Pull requests are warmly welcome.\n\n Steps to contribute:\n 1. Fork this repository (link to repository)\n 2. Create your feature branch (git checkout -b feature/fooBar)\n 3. Commit your changes (git commit -am 'Add some fooBar')\n 4. Push to the branch (git push origin feature/fooBar)\n 5. Create a new Pull Request\n \n Additionally you can create another document called CONTRIBUTING.md which gives instructions about how to contribute.\n\n Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.\n\nAUTHORS:\n Yugdeep Riar - yugdeepriar@gmail.com\n\nCREDITS:\n A heartfelt thank you to @Pranav_sir and @Trishant_sir for the encouragement I needed to get this idea off the ground and start writing!\n"},{"alpha_fraction":0.6460176706314087,"alphanum_fraction":0.665486752986908,"avg_line_length":34.34375,"blob_id":"7c8b946cc10905ac4a56cc543f9274da3f77e373","content_id":"882f6a5ae6bf307b87b009c39075f59121ab4ac8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1130,"license_type":"no_license","max_line_length":79,"num_lines":32,"path":"/Flask/Flask_project/test.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"from app import app\nimport unittest\n\nclass Test_routes(unittest.TestCase):\n\n # Check for response 200\n def test_ifsc_search(self):\n client = app.test_client(self)\n response = client.get('/ifsc_search')\n status_code = response.status_code\n self.assertEqual(status_code, 200)\n self.assertEqual(response.content_type, \"application/json\")\n\n # Check for response 200\n # Check id data returned is application/json\n def test_bank_leader_board(self):\n client = app.test_client(self)\n response = client.get('/bank_leader_board?sortorder=ASC&fetchcount=10')\n status_code = response.status_code\n self.assertEqual(status_code, 200)\n self.assertEqual(response.content_type, \"application/json\")\n\n # Check for response 200\n def test_stats(self):\n client = app.test_client(self)\n response = client.get('/stats?sortorder=ASC&fetchcount=10')\n status_code = response.status_code\n self.assertEqual(status_code, 200)\n self.assertEqual(response.content_type, \"application/json\")\n\nif __name__ == \"__main__\":\n unittest.main()"},{"alpha_fraction":0.6659685969352722,"alphanum_fraction":0.681675374507904,"avg_line_length":40.565216064453125,"blob_id":"4090ee1a0777f437d85557508131feb87f1fb331","content_id":"6de59b04abeead6454dc6489d8cbf3a642454e28","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":955,"license_type":"no_license","max_line_length":72,"num_lines":23,"path":"/Django/Django_project/Django_app/tests.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"from rest_framework import status\nfrom rest_framework.test import APITestCase\n\nclass TestApiMethods(APITestCase):\n def test_ifsc_search(self):\n response = self.client.get('/ifsc_search/', format='json')\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n \n def test_bank_leader_board(self):\n response = self.client.get('/bank_leader_board/', format='json')\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n def test_statistics(self):\n response = self.client.get('/statistics/', format='json')\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n def test_api_count(self):\n response = self.client.get('/api_count/', format='json')\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n def test_ifsc_count(self):\n response = self.client.get('/ifsc_count/', format='json')\n self.assertEqual(response.status_code, status.HTTP_200_OK)"},{"alpha_fraction":0.5642755627632141,"alphanum_fraction":0.5806108117103577,"avg_line_length":44.65945816040039,"blob_id":"2399a2ffc4d62e965abe08739a9c2b4f6ad22258","content_id":"4f57c5c0433a18dab655860407c8b6369af91061","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8448,"license_type":"no_license","max_line_length":182,"num_lines":185,"path":"/Django/Django_project/Django_app/views.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"from rest_framework import viewsets\nfrom rest_framework.response import Response\nfrom rest_framework import status\nimport traceback\n\nfrom django.views.decorators.cache import cache_page\nfrom django.utils.decorators import method_decorator\n\nimport urllib.request\n\nimport json\n\n# local imports\nfrom .validations import *\nfrom .function import *\n\n\n# Create your views here.\n\n\nclass Ifsc_viewset(viewsets.ViewSet):\n # cache requested url for 20 seconds.\n @method_decorator(cache_page(20))\n def list(self, request):\n try:\n '''\n The function to search for related ifsc bank data.\n \n Parameters:\n ifsc_code (String): The code to be searched.\n \n Returns:\n list_of_data: A list which contains the ifsc related bank data.\n '''\n\n # function for all url hit counts.\n api_count(request)\n # function for ifsc url hit counts.\n ifsc_count(request)\n\n # required requested parameter.\n if request.GET.get('ifsc_code'):\n # validating parameter.\n if isValidIFSCode(request.GET.get('ifsc_code')):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/ifsc_search?ifsc_code='+request.GET.get('ifsc_code')).read()\n # converting JSON data to a dictionary.\n list_of_data = json.loads(source)\n return Response({\"data\": {'IFSC RESULTS': list_of_data}, \"message\": \"IFSC SEARCHED DATA\", \"success\": True}, status=status.HTTP_200_OK)\n else:\n raise Exception(\"Ifsc code invalid !\")\n else:\n raise Exception(\"Ifsc code required !\")\n except Exception as error:\n traceback.print_exc()\n return Response({\"message\": str(error), \"success\": False}, status=status.HTTP_200_OK)\n\n\nclass Bank_leader_board_Viewset(viewsets.ViewSet):\n def list(self, request):\n try:\n '''\n The function for bank leader board data.\n \n Parameters:\n sortorder (String): The sorting order ASC/DESC,\n fetchcount (String): The counts to be fetched.\n \n Returns:\n list_of_data: A list which contains the bank leader board data.\n '''\n\n # function for all url hit counts.\n api_count(request)\n \n # validating parameters.\n if not isValidsortorder(request.GET.get('sortorder') or \"\"):\n raise Exception(\"Sort input must be 'ASC' or 'DESC' !\")\n if not isValidfetchcount(request.GET.get('fetchcount') or \"\"):\n raise Exception(\"fetchcount must be an +ve integer !\")\n\n # required requested parameters.\n if request.GET.get('sortorder') and request.GET.get('fetchcount'):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder='+request.GET.get('sortorder')+'&fetchcount='+request.GET.get('fetchcount')).read()\n # converting JSON data to a dictionary.\n list_of_data = json.loads(source)\n return Response({\"BANK LEADER BOARD RESULTS\": list_of_data, \"message\": \"BANK LEADER BOARD DATA\", \"success\": True}, status=status.HTTP_200_OK)\n else:\n if request.GET.get('sortorder'):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder='+request.GET.get('sortorder')+'&fetchcount=10').read()\n elif request.GET.get('fetchcount'):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder=DESC&fetchcount='+request.GET.get('fetchcount')).read()\n else:\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder=DESC&fetchcount=10').read()\n # converting JSON data to a dictionary.\n list_of_data = json.loads(source)\n return Response({\"BANK LEADER BOARD RESULTS\": list_of_data, \"message\": \"BANK LEADER BOARD DATA\", \"success\": True}, status=status.HTTP_200_OK)\n\n except Exception as error:\n traceback.print_exc()\n return Response({\"message\":str(error),\"success\":False},status=status.HTTP_200_OK)\n\n\nclass Statistics_viewset(viewsets.ViewSet):\n def list(self, request):\n try:\n '''\n The function for searched ifsc code with timestamp statistics data.\n \n Parameters:\n sortorder (String): The sorting order ASC/DESC,\n fetchcount (String): The counts to be fetched.\n \n Returns:\n list_of_data: A list which contains the ifsc statistics data.\n '''\n\n # function for all url hit counts.\n api_count(request)\n\n # validating parameters data.\n if not isValidsortorder(request.GET.get('sortorder') or \"\"):\n raise Exception(\"Sort input must be 'ASC' or 'DESC' !\")\n if not isValidfetchcount(request.GET.get('fetchcount') or \"\"):\n raise Exception(\"fetchcount must be an +ve integer !\")\n\n # required requested parameters.\n if request.GET.get('sortorder') and request.GET.get('fetchcount'):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder='+request.GET.get('sortorder')+'&fetchcount='+request.GET.get('fetchcount')).read()\n # converting JSON data to a dictionary.\n list_of_data = json.loads(source)\n return Response({\"STATISTICS RESULTS\": list_of_data, \"message\": \"STATISTICS DATA\", \"success\": True}, status=status.HTTP_200_OK)\n else:\n if request.GET.get('sortorder'):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder='+request.GET.get('sortorder')+'&fetchcount=ALL').read()\n elif request.GET.get('fetchcount'):\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder=ASC&fetchcount='+request.GET.get('fetchcount')).read()\n else:\n # source contain JSON data from API.\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder=ASC&fetchcount=ALL').read()\n # converting JSON data to a dictionary.\n list_of_data = json.loads(source)\n return Response({\"STATISTICS RESULTS\": list_of_data, \"message\": \"STATISTICS DATA\", \"success\": True}, status=status.HTTP_200_OK)\n except Exception as error:\n traceback.print_exc()\n return Response({\"message\": str(error), \"success\": False},status=status.HTTP_200_OK)\n\n\nclass Api_count_viewset(viewsets.ViewSet):\n def list(self, request):\n try:\n '''\n The function for all urls hit counts.\n \n Returns:\n API_Hit_Count: A list which contains all the url with total hits.\n '''\n\n return Response({\"RESULTS\": API_Hit_Count, \"message\": \"APIS COUNT DATA\", \"success\": True}, status=status.HTTP_200_OK)\n except Exception as error:\n traceback.print_exc()\n return Response({\"message\": str(error), \"success\": False},status=status.HTTP_200_OK)\n\n\nclass Ifsc_count_viewset(viewsets.ViewSet):\n def list(self, request):\n try:\n '''\n The function for ifsc urls hit counts.\n \n Returns:\n IFSC_Hit_Count: A list which contains only the ifsc url with total hits.\n '''\n\n return Response({\"RESULTS\": IFSC_Hit_Count, \"message\": \"IFSC COUNT DATA\", \"success\": True}, status=status.HTTP_200_OK)\n except Exception as error:\n traceback.print_exc()\n return Response({\"message\": str(error), \"success\": False},status=status.HTTP_200_OK)\n\n"},{"alpha_fraction":0.7747163772583008,"alphanum_fraction":0.7747163772583008,"avg_line_length":40.13333511352539,"blob_id":"d509d4b6dbc96f313223bbd45238c15f0c4512c9","content_id":"d4a67235c55bd4ab71bc20ca1799b440f75889d8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":617,"license_type":"no_license","max_line_length":102,"num_lines":15,"path":"/Django/Django_project/Django_app/urls.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"from django.urls import path, include\nfrom rest_framework.routers import DefaultRouter\nfrom Django_app.views import *\n\nrouter = DefaultRouter()\n\nrouter.register(r'ifsc_search', Ifsc_viewset, basename='Ifsc_viewset')\nrouter.register(r'bank_leader_board', Bank_leader_board_Viewset, basename='Bank_leader_board_Viewset')\nrouter.register(r'statistics', Statistics_viewset, basename='Statistics_viewset')\nrouter.register(r'api_count', Api_count_viewset, basename='Api_count_viewset')\nrouter.register(r'ifsc_count', Ifsc_count_viewset, basename='Ifsc_count_viewset')\n\nurlpatterns = [\n path('', include(router.urls)),\n]\n"},{"alpha_fraction":0.7868852615356445,"alphanum_fraction":0.7868852615356445,"avg_line_length":60.5,"blob_id":"3ddcc12a28a46cfa3025591a7eae4aec2ec00dcd","content_id":"ccaf85bcc0d7a72ffdf6cd1e3508330aeb76bf5a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":122,"license_type":"no_license","max_line_length":79,"num_lines":2,"path":"/Flask/Flask_project/path.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"# static path for RBI-IFSC-Data.xlsx file.\nworkbook_path = '/home/yugdeepriar/Desktop/Assignment/Flask/RBI-IFSC-Data.xlsx'"},{"alpha_fraction":0.8888888955116272,"alphanum_fraction":0.8888888955116272,"avg_line_length":8.199999809265137,"blob_id":"4b3e9c084f0635069a87da8c6a7ea98cfa320e11","content_id":"8433dfb81dad3e16878a646034e4ca34802e6bcf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Text","length_bytes":45,"license_type":"no_license","max_line_length":16,"num_lines":5,"path":"/Flask/requirements.txt","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"flask\nflask-sqlalchemy\npandas\nopenpyxl\npytest"},{"alpha_fraction":0.5447387099266052,"alphanum_fraction":0.5490336418151855,"avg_line_length":17.613332748413086,"blob_id":"49faf0b22014f0d048a676fad074138cb55756b6","content_id":"2bdd4ccc1ac6f6762453ec4227c92ed493b5b3ce","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1397,"license_type":"no_license","max_line_length":55,"num_lines":75,"path":"/Django/Django_project/Django_app/validations.py","repo_name":"Yugdeep1996/First","src_encoding":"UTF-8","text":"# import regular exp.\nimport re\n\n\n# Create your validations here.\n\n\ndef isValidIFSCode(str):\n '''\n The function checks if ifsc code is valid or not.\n\n Parameters:\n str (String): The ifsc code.\n \n Returns:\n (bool) : A boolean value.\n '''\n \n # Regex to check valid IFSC Code.\n regex = \"^[A-Z]{4}0[A-Z0-9]{6}$\"\n \n # Compile the ReGex\n p = re.compile(regex)\n \n # If the string is empty return false.\n if (str == None):\n return False\n \n # Return if the string matched the ReGex.\n if (re.search(p, str)):\n return True\n else:\n return False\n\n\ndef isValidsortorder(data):\n '''\n The function checks if sort order is valid or not.\n\n Parameters:\n data (String): The sort order.\n \n Returns:\n (bool) : A boolean value.\n '''\n\n # If the string is empty return.\n if data == '':\n return True\n elif data == 'DESC':\n return True\n elif data == 'ASC':\n return True\n else:\n return False\n\n\ndef isValidfetchcount(data):\n '''\n The function checks if fetch count is valid or not.\n\n Parameters:\n data (String): The fetch count.\n \n Returns:\n (bool) : A boolean value.\n '''\n\n # If the string is empty return.\n if data == '':\n return True\n elif int(data) >= 0:\n return True\n else:\n return False\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.627106249332428,\n \"alphanum_fraction\": 0.6329670548439026,\n \"avg_line_length\": 28.673913955688477,\n \"blob_id\": \"029c00d7e5aed95d10b37a193b6adce881aa7b0b\",\n \"content_id\": \"7d2fab92398a4b4ff5097b7f8aee4eb3c8e311fa\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1365,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 46,\n \"path\": \"/Django/Django_project/Django_app/function.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# global variables used in Django_app/views.\\nIFSC_Hit_Count = {}\\nAPI_Hit_Count = {}\\n\\n\\n# Create your functions here.\\n\\n\\ndef api_count(request):\\n '''\\n The function counts all urls hits.\\n\\n Parameters:\\n request: Required for retrieving complete requested url.\\n '''\\n \\n # if url exists then increment its value by 1.\\n if API_Hit_Count.get(str(request.build_absolute_uri())):\\n val = API_Hit_Count.get(str(request.build_absolute_uri()))\\n val += 1\\n upgraded_dict = {str(request.build_absolute_uri()): val}\\n API_Hit_Count.update(upgraded_dict)\\n else:\\n # update a new url with hit count as 1.\\n API_Hit_Count.update({str(request.build_absolute_uri()): 1})\\n return\\n\\n\\ndef ifsc_count(request):\\n '''\\n The function counts all ifsc search urls hits.\\n\\n Parameters:\\n request: Required for retrieving complete requested url.\\n '''\\n \\n # if ifsc url exists then increment its value by 1.\\n if IFSC_Hit_Count.get(str(request.build_absolute_uri())):\\n val = IFSC_Hit_Count.get(str(request.build_absolute_uri()))\\n val += 1\\n upgraded_dict = {str(request.build_absolute_uri()): val}\\n IFSC_Hit_Count.update(upgraded_dict)\\n else:\\n # update a new ifsc url with hit count as 1.\\n IFSC_Hit_Count.update({str(request.build_absolute_uri()): 1})\\n return\\n\"\n },\n {\n \"alpha_fraction\": 0.5743885636329651,\n \"alphanum_fraction\": 0.5799931883811951,\n \"avg_line_length\": 36.272151947021484,\n \"blob_id\": \"7a199854ecbd9c554ab1f88754f8e27b0fe64253\",\n \"content_id\": \"2310538bcae9d6b9e6309ba39717dccd5ef16507\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5888,\n \"license_type\": \"no_license\",\n \"max_line_length\": 100,\n \"num_lines\": 158,\n \"path\": \"/Flask/Flask_project/app.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from flask import Flask, request, jsonify \\nimport pandas as pd\\nimport time\\nfrom path import workbook_path\\n\\nprint('Loading data...')\\n# global variables declared.\\nbank_data = []\\nStatistics = []\\nbank_leaderboard_data = []\\n\\n# storing xlsx data in memory.\\n# reading xlsx Sheet1 data.\\nworkbook1 = pd.read_excel(workbook_path, sheet_name = 'Sheet1')\\nworkbook1.head()\\n# extracting xlsx Sheet1 data. \\nfor i in range(0, len(workbook1)):\\n bank_data.append({\\n \\\"BANK\\\": workbook1['BANK'][i],\\n \\\"IFSC\\\": workbook1['IFSC'][i],\\n \\\"MICR\\\": workbook1['MICR CODE'][i],\\n \\\"CODE\\\": workbook1['BRANCH'][i],\\n \\\"BRANCH\\\": workbook1['ADDRESS'][i],\\n \\\"ADDRESS\\\": workbook1['STD CODE'][i],\\n \\\"STD_CODE\\\": workbook1['CONTACT'][i],\\n \\\"CITY\\\": workbook1['CITY'][i],\\n \\\"DISTRICT\\\": workbook1['DISTRICT'][i],\\n \\\"STATE\\\": workbook1['STATE'][i],\\n })\\n\\n# reading xlsx Pivot Table_Sheet1_1 data.\\nworkbook2 = pd.read_excel(workbook_path, sheet_name = 'Pivot Table_Sheet1_1')\\nworkbook2.head()\\n# extracting xlsx Pivot Table_Sheet1_1 data. \\nfor i in range(1, len(workbook2)):\\n bank_leaderboard_data.append({\\n workbook2['BANK'][i]: str(workbook2['Count - BANK'][i]),\\n })\\n\\n\\napp = Flask(__name__) \\napp.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False\\n\\n@app.route(\\\"/\\\")\\ndef Search_ifsc_viewset(): \\n return jsonify({'MESSAGE': 'Welcome user'})\\n\\n@app.route(\\\"/ifsc_search\\\")\\ndef Search_ifsc_viewset():\\n '''\\n The function for searched ifsc with timestamp.\\n\\n Parameters:\\n ifsc_code (String): The ifsc code to be searched.\\n \\n Returns:\\n results: A list which contains the ifsc bank data.\\n '''\\n \\n # requested parameter.\\n if request.args.get('ifsc_code'):\\n # storing ifsc code matched results\\n results = [data for data in bank_data if data['IFSC'] == request.args.get('ifsc_code')]\\n if results:\\n # storing ifsc code with timestamp for statistics results.\\n Statistics.append({request.args.get('ifsc_code'): str(time.time())})\\n return jsonify(results)\\n else: \\n return jsonify({'MESSAGE': 'NO RESULTS FOUND'})\\n else: \\n return jsonify({'MESSAGE': 'ifsc_code parameter required'})\\n\\n@app.route(\\\"/bank_leader_board\\\", methods=['GET', 'POST'])\\ndef bank_leader_board_viewset():\\n '''\\n The function for bank leader board data.\\n\\n Parameters:\\n sortorder (String): The sorting order ASC/DESC,\\n fetchcount (String): The counts to be fetched.\\n \\n Returns:\\n results: A list which contains the bank leader board data.\\n '''\\n\\n if bank_leaderboard_data:\\n results = []\\n if int(request.args.get('fetchcount')) <= len(bank_leaderboard_data):\\n if request.args.get('sortorder') == 'ASC':\\n # if sortorder is ASC then get results in ascending order.\\n for i in range(0, int(request.args.get('fetchcount'))):\\n results.append(bank_leaderboard_data[i]) \\n else:\\n # if sortorder is DESC then get results in descending order.\\n for i in reversed(range(int(request.args.get('fetchcount')))):\\n results.append(bank_leaderboard_data[i])\\n return jsonify(results) \\n else:\\n if request.args.get('sortorder') == 'ASC':\\n # if sortorder is ASC then get results in ascending order.\\n for i in range(0, len(bank_leaderboard_data)):\\n results.append(bank_leaderboard_data[i]) \\n else:\\n # if sortorder is DESC then get results in descending order.\\n for i in reversed(range(len(bank_leaderboard_data))):\\n results.append(bank_leaderboard_data[i]) \\n return jsonify(results, {'MESSAGE': 'ONLY '+str(len(bank_leaderboard_data))+' RESULTS'})\\n else: \\n return jsonify({'MESSAGE': 'NO RESULTS'})\\n\\n\\n@app.route(\\\"/stats\\\")\\ndef statistics_viewset():\\n '''\\n The function for searched ifsc code with timestamp statistics data.\\n\\n Parameters:\\n sortorder (String): The sorting order ASC/DESC,\\n fetchcount (String): The counts to be fetched.\\n \\n Returns:\\n results: A list which contains the ifsc statistics data.\\n '''\\n\\n if Statistics:\\n if request.args.get('fetchcount')=='ALL':\\n # returning all ifsc statistics data.\\n if request.args.get('sortorder') == 'DESC':\\n Statistics.reverse()\\n return jsonify(Statistics)\\n else:\\n results = []\\n if int(request.args.get('fetchcount')) <= len(Statistics):\\n # if sortorder is DESC then get results in descending order.\\n if request.args.get('sortorder') == 'DESC':\\n for i in reversed(range(int(request.args.get('fetchcount')))):\\n results.append(Statistics[i]) \\n else:\\n # if sortorder is ASC then get results in ascending order.\\n for i in range(0, int(request.args.get('fetchcount'))):\\n results.append(Statistics[i])\\n return jsonify(results) \\n else: \\n # if sortorder is DESC then get results in descending order.\\n if request.args.get('sortorder') == 'DESC':\\n for i in reversed(range(len(Statistics))):\\n results.append(Statistics[i]) \\n else:\\n # if sortorder is ASC then get results in ascending order.\\n for i in range(0, len(Statistics)):\\n results.append(Statistics[i])\\n return jsonify(results, {'MESSAGE': 'ONLY '+str(len(Statistics))+' RESULTS'})\\n else: \\n return jsonify({'MESSAGE': 'NO RESULTS'})\\n\\n\\nif __name__ == '__main__': \\n app.run(debug = False)\"\n },\n {\n \"alpha_fraction\": 0.6812682747840881,\n \"alphanum_fraction\": 0.6908635497093201,\n \"avg_line_length\": 37.66128921508789,\n \"blob_id\": \"58c0636fdb0c549dc838f0421c84abaacff0be9b\",\n \"content_id\": \"0a1aa19a42c1c03fa9d520c7cb72a95eabb66ef0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 2399,\n \"license_type\": \"no_license\",\n \"max_line_length\": 302,\n \"num_lines\": 62,\n \"path\": \"/Django/README.md\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"PROJECT - GROUP DATA & ANALYTICS:\\n In-memory analytics is an approach to querying data when it resides in a computer’s random access memory (RAM), as opposed to querying data that is stored on physical disks. This results in vastly shortened query response times, allowing analytic applications to support faster business decisions.\\n\\nREQUIREMENTS (Prerequisites):\\n Python 3.6 and up.\\n\\nINSTALLATION:\\n * for ubuntu:\\n 1. Installing venv:\\n sudo apt install python3-venv\\n 2. Creating an environment (venv):\\n python3 -m venv venv\\n 3. Activating the venv:\\n source venv/bin/activate\\n\\n * for windows:\\n 1. Installing virtualenv:\\n pip install virtualenv\\n 2. Creating an environment (venv):\\n virtualenv venv\\n 3. Activating the venv:\\n venv\\\\Scripts\\\\activate\\n\\n * Installing requirements in venv:\\n for ubuntu:\\n pip3 install -r requirements.txt\\n for windows:\\n pip install -r requirements.txt\\n\\nRUNNING THE TESTS:\\n * for ubuntu:\\n python3 manage.py test\\n * for windows:\\n python manage.py test\\n\\nRUNNING THE SERVER:\\n * for ubuntu:\\n 1. python3 manage.py migrate\\n 2. python3 manage.py runserver\\n * for windows:\\n 1. python manage.py migrate\\n 2. python manage.py runserver\\n\\nHOW TO CONTRIBUTE:\\n Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate. If you'd like to contribute, please fork the repository and make changes as you'd like. Pull requests are warmly welcome.\\n\\n Steps to contribute:\\n 1. Fork this repository (link to repository)\\n 2. Create your feature branch (git checkout -b feature/fooBar)\\n 3. Commit your changes (git commit -am 'Add some fooBar')\\n 4. Push to the branch (git push origin feature/fooBar)\\n 5. Create a new Pull Request\\n \\n Additionally you can create another document called CONTRIBUTING.md which gives instructions about how to contribute.\\n\\n Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.\\n\\nAUTHORS:\\n Yugdeep Riar - yugdeepriar@gmail.com\\n\\nCREDITS:\\n A heartfelt thank you to @Pranav_sir and @Trishant_sir for the encouragement I needed to get this idea off the ground and start writing!\\n\"\n },\n {\n \"alpha_fraction\": 0.6460176706314087,\n \"alphanum_fraction\": 0.665486752986908,\n \"avg_line_length\": 34.34375,\n \"blob_id\": \"7c8b946cc10905ac4a56cc543f9274da3f77e373\",\n \"content_id\": \"882f6a5ae6bf307b87b009c39075f59121ab4ac8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1130,\n \"license_type\": \"no_license\",\n \"max_line_length\": 79,\n \"num_lines\": 32,\n \"path\": \"/Flask/Flask_project/test.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from app import app\\nimport unittest\\n\\nclass Test_routes(unittest.TestCase):\\n\\n # Check for response 200\\n def test_ifsc_search(self):\\n client = app.test_client(self)\\n response = client.get('/ifsc_search')\\n status_code = response.status_code\\n self.assertEqual(status_code, 200)\\n self.assertEqual(response.content_type, \\\"application/json\\\")\\n\\n # Check for response 200\\n # Check id data returned is application/json\\n def test_bank_leader_board(self):\\n client = app.test_client(self)\\n response = client.get('/bank_leader_board?sortorder=ASC&fetchcount=10')\\n status_code = response.status_code\\n self.assertEqual(status_code, 200)\\n self.assertEqual(response.content_type, \\\"application/json\\\")\\n\\n # Check for response 200\\n def test_stats(self):\\n client = app.test_client(self)\\n response = client.get('/stats?sortorder=ASC&fetchcount=10')\\n status_code = response.status_code\\n self.assertEqual(status_code, 200)\\n self.assertEqual(response.content_type, \\\"application/json\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n unittest.main()\"\n },\n {\n \"alpha_fraction\": 0.6659685969352722,\n \"alphanum_fraction\": 0.681675374507904,\n \"avg_line_length\": 40.565216064453125,\n \"blob_id\": \"4090ee1a0777f437d85557508131feb87f1fb331\",\n \"content_id\": \"6de59b04abeead6454dc6489d8cbf3a642454e28\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 955,\n \"license_type\": \"no_license\",\n \"max_line_length\": 72,\n \"num_lines\": 23,\n \"path\": \"/Django/Django_project/Django_app/tests.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework import status\\nfrom rest_framework.test import APITestCase\\n\\nclass TestApiMethods(APITestCase):\\n def test_ifsc_search(self):\\n response = self.client.get('/ifsc_search/', format='json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n \\n def test_bank_leader_board(self):\\n response = self.client.get('/bank_leader_board/', format='json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n def test_statistics(self):\\n response = self.client.get('/statistics/', format='json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n def test_api_count(self):\\n response = self.client.get('/api_count/', format='json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n def test_ifsc_count(self):\\n response = self.client.get('/ifsc_count/', format='json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\"\n },\n {\n \"alpha_fraction\": 0.5642755627632141,\n \"alphanum_fraction\": 0.5806108117103577,\n \"avg_line_length\": 44.65945816040039,\n \"blob_id\": \"2399a2ffc4d62e965abe08739a9c2b4f6ad22258\",\n \"content_id\": \"4f57c5c0433a18dab655860407c8b6369af91061\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8448,\n \"license_type\": \"no_license\",\n \"max_line_length\": 182,\n \"num_lines\": 185,\n \"path\": \"/Django/Django_project/Django_app/views.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework import viewsets\\nfrom rest_framework.response import Response\\nfrom rest_framework import status\\nimport traceback\\n\\nfrom django.views.decorators.cache import cache_page\\nfrom django.utils.decorators import method_decorator\\n\\nimport urllib.request\\n\\nimport json\\n\\n# local imports\\nfrom .validations import *\\nfrom .function import *\\n\\n\\n# Create your views here.\\n\\n\\nclass Ifsc_viewset(viewsets.ViewSet):\\n # cache requested url for 20 seconds.\\n @method_decorator(cache_page(20))\\n def list(self, request):\\n try:\\n '''\\n The function to search for related ifsc bank data.\\n \\n Parameters:\\n ifsc_code (String): The code to be searched.\\n \\n Returns:\\n list_of_data: A list which contains the ifsc related bank data.\\n '''\\n\\n # function for all url hit counts.\\n api_count(request)\\n # function for ifsc url hit counts.\\n ifsc_count(request)\\n\\n # required requested parameter.\\n if request.GET.get('ifsc_code'):\\n # validating parameter.\\n if isValidIFSCode(request.GET.get('ifsc_code')):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/ifsc_search?ifsc_code='+request.GET.get('ifsc_code')).read()\\n # converting JSON data to a dictionary.\\n list_of_data = json.loads(source)\\n return Response({\\\"data\\\": {'IFSC RESULTS': list_of_data}, \\\"message\\\": \\\"IFSC SEARCHED DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n else:\\n raise Exception(\\\"Ifsc code invalid !\\\")\\n else:\\n raise Exception(\\\"Ifsc code required !\\\")\\n except Exception as error:\\n traceback.print_exc()\\n return Response({\\\"message\\\": str(error), \\\"success\\\": False}, status=status.HTTP_200_OK)\\n\\n\\nclass Bank_leader_board_Viewset(viewsets.ViewSet):\\n def list(self, request):\\n try:\\n '''\\n The function for bank leader board data.\\n \\n Parameters:\\n sortorder (String): The sorting order ASC/DESC,\\n fetchcount (String): The counts to be fetched.\\n \\n Returns:\\n list_of_data: A list which contains the bank leader board data.\\n '''\\n\\n # function for all url hit counts.\\n api_count(request)\\n \\n # validating parameters.\\n if not isValidsortorder(request.GET.get('sortorder') or \\\"\\\"):\\n raise Exception(\\\"Sort input must be 'ASC' or 'DESC' !\\\")\\n if not isValidfetchcount(request.GET.get('fetchcount') or \\\"\\\"):\\n raise Exception(\\\"fetchcount must be an +ve integer !\\\")\\n\\n # required requested parameters.\\n if request.GET.get('sortorder') and request.GET.get('fetchcount'):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder='+request.GET.get('sortorder')+'&fetchcount='+request.GET.get('fetchcount')).read()\\n # converting JSON data to a dictionary.\\n list_of_data = json.loads(source)\\n return Response({\\\"BANK LEADER BOARD RESULTS\\\": list_of_data, \\\"message\\\": \\\"BANK LEADER BOARD DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n else:\\n if request.GET.get('sortorder'):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder='+request.GET.get('sortorder')+'&fetchcount=10').read()\\n elif request.GET.get('fetchcount'):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder=DESC&fetchcount='+request.GET.get('fetchcount')).read()\\n else:\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/bank_leader_board?sortorder=DESC&fetchcount=10').read()\\n # converting JSON data to a dictionary.\\n list_of_data = json.loads(source)\\n return Response({\\\"BANK LEADER BOARD RESULTS\\\": list_of_data, \\\"message\\\": \\\"BANK LEADER BOARD DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n\\n except Exception as error:\\n traceback.print_exc()\\n return Response({\\\"message\\\":str(error),\\\"success\\\":False},status=status.HTTP_200_OK)\\n\\n\\nclass Statistics_viewset(viewsets.ViewSet):\\n def list(self, request):\\n try:\\n '''\\n The function for searched ifsc code with timestamp statistics data.\\n \\n Parameters:\\n sortorder (String): The sorting order ASC/DESC,\\n fetchcount (String): The counts to be fetched.\\n \\n Returns:\\n list_of_data: A list which contains the ifsc statistics data.\\n '''\\n\\n # function for all url hit counts.\\n api_count(request)\\n\\n # validating parameters data.\\n if not isValidsortorder(request.GET.get('sortorder') or \\\"\\\"):\\n raise Exception(\\\"Sort input must be 'ASC' or 'DESC' !\\\")\\n if not isValidfetchcount(request.GET.get('fetchcount') or \\\"\\\"):\\n raise Exception(\\\"fetchcount must be an +ve integer !\\\")\\n\\n # required requested parameters.\\n if request.GET.get('sortorder') and request.GET.get('fetchcount'):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder='+request.GET.get('sortorder')+'&fetchcount='+request.GET.get('fetchcount')).read()\\n # converting JSON data to a dictionary.\\n list_of_data = json.loads(source)\\n return Response({\\\"STATISTICS RESULTS\\\": list_of_data, \\\"message\\\": \\\"STATISTICS DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n else:\\n if request.GET.get('sortorder'):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder='+request.GET.get('sortorder')+'&fetchcount=ALL').read()\\n elif request.GET.get('fetchcount'):\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder=ASC&fetchcount='+request.GET.get('fetchcount')).read()\\n else:\\n # source contain JSON data from API.\\n source = urllib.request.urlopen('http://127.0.0.1:5000/stats?sortorder=ASC&fetchcount=ALL').read()\\n # converting JSON data to a dictionary.\\n list_of_data = json.loads(source)\\n return Response({\\\"STATISTICS RESULTS\\\": list_of_data, \\\"message\\\": \\\"STATISTICS DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n except Exception as error:\\n traceback.print_exc()\\n return Response({\\\"message\\\": str(error), \\\"success\\\": False},status=status.HTTP_200_OK)\\n\\n\\nclass Api_count_viewset(viewsets.ViewSet):\\n def list(self, request):\\n try:\\n '''\\n The function for all urls hit counts.\\n \\n Returns:\\n API_Hit_Count: A list which contains all the url with total hits.\\n '''\\n\\n return Response({\\\"RESULTS\\\": API_Hit_Count, \\\"message\\\": \\\"APIS COUNT DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n except Exception as error:\\n traceback.print_exc()\\n return Response({\\\"message\\\": str(error), \\\"success\\\": False},status=status.HTTP_200_OK)\\n\\n\\nclass Ifsc_count_viewset(viewsets.ViewSet):\\n def list(self, request):\\n try:\\n '''\\n The function for ifsc urls hit counts.\\n \\n Returns:\\n IFSC_Hit_Count: A list which contains only the ifsc url with total hits.\\n '''\\n\\n return Response({\\\"RESULTS\\\": IFSC_Hit_Count, \\\"message\\\": \\\"IFSC COUNT DATA\\\", \\\"success\\\": True}, status=status.HTTP_200_OK)\\n except Exception as error:\\n traceback.print_exc()\\n return Response({\\\"message\\\": str(error), \\\"success\\\": False},status=status.HTTP_200_OK)\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7747163772583008,\n \"alphanum_fraction\": 0.7747163772583008,\n \"avg_line_length\": 40.13333511352539,\n \"blob_id\": \"d509d4b6dbc96f313223bbd45238c15f0c4512c9\",\n \"content_id\": \"d4a67235c55bd4ab71bc20ca1799b440f75889d8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 617,\n \"license_type\": \"no_license\",\n \"max_line_length\": 102,\n \"num_lines\": 15,\n \"path\": \"/Django/Django_project/Django_app/urls.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.urls import path, include\\nfrom rest_framework.routers import DefaultRouter\\nfrom Django_app.views import *\\n\\nrouter = DefaultRouter()\\n\\nrouter.register(r'ifsc_search', Ifsc_viewset, basename='Ifsc_viewset')\\nrouter.register(r'bank_leader_board', Bank_leader_board_Viewset, basename='Bank_leader_board_Viewset')\\nrouter.register(r'statistics', Statistics_viewset, basename='Statistics_viewset')\\nrouter.register(r'api_count', Api_count_viewset, basename='Api_count_viewset')\\nrouter.register(r'ifsc_count', Ifsc_count_viewset, basename='Ifsc_count_viewset')\\n\\nurlpatterns = [\\n path('', include(router.urls)),\\n]\\n\"\n },\n {\n \"alpha_fraction\": 0.7868852615356445,\n \"alphanum_fraction\": 0.7868852615356445,\n \"avg_line_length\": 60.5,\n \"blob_id\": \"3ddcc12a28a46cfa3025591a7eae4aec2ec00dcd\",\n \"content_id\": \"ccaf85bcc0d7a72ffdf6cd1e3508330aeb76bf5a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 122,\n \"license_type\": \"no_license\",\n \"max_line_length\": 79,\n \"num_lines\": 2,\n \"path\": \"/Flask/Flask_project/path.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# static path for RBI-IFSC-Data.xlsx file.\\nworkbook_path = '/home/yugdeepriar/Desktop/Assignment/Flask/RBI-IFSC-Data.xlsx'\"\n },\n {\n \"alpha_fraction\": 0.8888888955116272,\n \"alphanum_fraction\": 0.8888888955116272,\n \"avg_line_length\": 8.199999809265137,\n \"blob_id\": \"4b3e9c084f0635069a87da8c6a7ea98cfa320e11\",\n \"content_id\": \"8433dfb81dad3e16878a646034e4ca34802e6bcf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 45,\n \"license_type\": \"no_license\",\n \"max_line_length\": 16,\n \"num_lines\": 5,\n \"path\": \"/Flask/requirements.txt\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"flask\\nflask-sqlalchemy\\npandas\\nopenpyxl\\npytest\"\n },\n {\n \"alpha_fraction\": 0.5447387099266052,\n \"alphanum_fraction\": 0.5490336418151855,\n \"avg_line_length\": 17.613332748413086,\n \"blob_id\": \"49faf0b22014f0d048a676fad074138cb55756b6\",\n \"content_id\": \"2bdd4ccc1ac6f6762453ec4227c92ed493b5b3ce\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1397,\n \"license_type\": \"no_license\",\n \"max_line_length\": 55,\n \"num_lines\": 75,\n \"path\": \"/Django/Django_project/Django_app/validations.py\",\n \"repo_name\": \"Yugdeep1996/First\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# import regular exp.\\nimport re\\n\\n\\n# Create your validations here.\\n\\n\\ndef isValidIFSCode(str):\\n '''\\n The function checks if ifsc code is valid or not.\\n\\n Parameters:\\n str (String): The ifsc code.\\n \\n Returns:\\n (bool) : A boolean value.\\n '''\\n \\n # Regex to check valid IFSC Code.\\n regex = \\\"^[A-Z]{4}0[A-Z0-9]{6}$\\\"\\n \\n # Compile the ReGex\\n p = re.compile(regex)\\n \\n # If the string is empty return false.\\n if (str == None):\\n return False\\n \\n # Return if the string matched the ReGex.\\n if (re.search(p, str)):\\n return True\\n else:\\n return False\\n\\n\\ndef isValidsortorder(data):\\n '''\\n The function checks if sort order is valid or not.\\n\\n Parameters:\\n data (String): The sort order.\\n \\n Returns:\\n (bool) : A boolean value.\\n '''\\n\\n # If the string is empty return.\\n if data == '':\\n return True\\n elif data == 'DESC':\\n return True\\n elif data == 'ASC':\\n return True\\n else:\\n return False\\n\\n\\ndef isValidfetchcount(data):\\n '''\\n The function checks if fetch count is valid or not.\\n\\n Parameters:\\n data (String): The fetch count.\\n \\n Returns:\\n (bool) : A boolean value.\\n '''\\n\\n # If the string is empty return.\\n if data == '':\\n return True\\n elif int(data) >= 0:\\n return True\\n else:\\n return False\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":10,"string":"10"}}},{"rowIdx":2984197,"cells":{"repo_name":{"kind":"string","value":"em-git/Games"},"repo_url":{"kind":"string","value":"https://github.com/em-git/Games"},"snapshot_id":{"kind":"string","value":"84248c2ccf8629c623de1ae32c3aa9349d67a728"},"revision_id":{"kind":"string","value":"e4f7eccc60ecc9dec38b2d3a6986851e2498d07f"},"directory_id":{"kind":"string","value":"292d2bf0bd65c28d127756b6389dd4761783f6b3"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-05-03T03:21:14.939866","string":"2020-05-03T03:21:14.939866"},"revision_date":{"kind":"timestamp","value":"2019-03-29T14:11:00","string":"2019-03-29T14:11:00"},"committer_date":{"kind":"timestamp","value":"2019-03-29T14:11:00","string":"2019-03-29T14:11:00"},"github_id":{"kind":"number","value":121367134,"string":"121,367,134"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7570332288742065,"alphanum_fraction":0.7672634124755859,"avg_line_length":47.875,"blob_id":"311cde8a953a773f55705f48babbdc4aa16be0f7","content_id":"d472411a76abe4a9ddddea8d59ec2c4f6cba707d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":391,"license_type":"no_license","max_line_length":127,"num_lines":8,"path":"/README.md","repo_name":"em-git/Games","src_encoding":"UTF-8","text":"# Games\nVery simple games created using the [Pygame](https://www.pygame.org/wiki/about) library.\n\nAll projects in this repository are a work in progress and any updates to the code is based on my availability to work on them.\n\nCurrent projects:\n- [Space Invaders](https://github.com/em-git/Games/blob/master/space_invaders.py) Yes, yet another Space Invaders game.\n- [4972]() Arcade shooter\n"},{"alpha_fraction":0.47861436009407043,"alphanum_fraction":0.5025804042816162,"avg_line_length":32.758949279785156,"blob_id":"33b84deca70c39c3801ed74c23d1e943cceedf95","content_id":"0af55738b2d9dfbe26881231d234d971fec57e42","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":14145,"license_type":"no_license","max_line_length":119,"num_lines":419,"path":"/space_invaders.py","repo_name":"em-git/Games","src_encoding":"UTF-8","text":"# Created by Eduardo Morais\n# Name: Space Invaders\n# Version: 0.1\n# Resources:\n# http://www.classicgaming.cc/classics/space - invaders/play - guide\n# https://spaceinvaders.fandom.com/wiki/Space_Invaders_wiki\n# http://computerarcheology.com/Arcade/SpaceInvaders/\n# imports\nimport os\nimport random\nimport pygame\nimport spritesheet\n\n\n# Initialization\npygame.init()\ndisplay_w, display_h = 800, 800\ndisplay = pygame.display.set_mode((display_w, display_h))\npygame.display.set_caption(\"Space Invaders\")\nclock = pygame.time.Clock()\n\n# Constants\nFONT = pygame.font.Font(\"fonts/space_invaders.ttf\", 20)\nWHITE = (255, 255, 255)\nBLACK = (0, 0, 0)\nGREEN = (0, 255, 0)\nFPS = 60\n\n\n# Classes\nclass Player(pygame.sprite.Sprite):\n def __init__(self):\n super(Player, self).__init__()\n self.image = pygame.image.load(\"sprites/player.png\").convert()\n self.width = 26\n self.x = display_w * 0.48\n self.y = display_h * 0.9\n self.move_x = 0\n self.rect = self.image.get_rect()\n self.rect.x = self.x\n self.rect.y = self.y\n self.shots = 0\n\n def update(self, *args):\n self.rect.x += self.move_x\n\n def control(self, x):\n self.move_x = x\n\n def lives(self, lives):\n x_coord = 0\n for var in range(lives-1):\n display.blit(self.image, (x_coord + 50, display_h - 45))\n x_coord += 30\n\n def score(self, score):\n value = FONT.render(str(score).zfill(4), False, WHITE)\n display.blit(value, (130, 40))\n\n\nclass Alien(pygame.sprite.Sprite):\n def __init__(self, strip, rect, x, y):\n super(Alien, self).__init__()\n self.frames = FPS/6\n self.strip = [spritesheet.SpriteStripAnim(strip, rect, 2, 1, True, self.frames)]\n self.image = self.strip[0].next()\n self.x = x\n self.y = y\n self.move_x = 2\n self.rect = self.image.get_rect()\n self.rect.x = self.x\n self.rect.y = self.y\n\n def update(self):\n self.image = self.strip[0].next()\n self.rect.x += self.move_x\n if self.rect.x > 776:\n self.move_x = -2\n self.rect.y += 24\n elif self.rect.x < 0:\n self.move_x = 2\n self.rect.y += 24\n\n\nclass AlienLow(Alien):\n def __init__(self, x, y):\n super(AlienLow, self).__init__(\"sprites/alien3.png\", (0, 0, 24, 16), x, y)\n\n\nclass AlienMid(Alien):\n def __init__(self, x, y):\n super(AlienMid, self).__init__(\"sprites/alien2.png\", (0, 0, 22, 16), x, y)\n\n\nclass AlienHigh(Alien):\n def __init__(self, x, y):\n super(AlienHigh, self).__init__(\"sprites/alien1.png\", (0, 0, 22, 16), x, y)\n\n\nclass Shield(pygame.sprite.Sprite):\n def __init__(self, x, y):\n super(Shield, self).__init__()\n self.image = pygame.image.load(\"sprites/shield.png\")\n self.x = x\n self.y = y\n self.rect = self.image.get_rect()\n self.rect.x = self.x\n self.rect.y = self.y\n\n\nclass Laser(pygame.sprite.Sprite):\n def __init__(self):\n super(Laser, self).__init__()\n self.image = pygame.image.load(\"sprites/player_laser.png\")\n self.rect = self.image.get_rect()\n\n def update(self, *args):\n self.rect.y -= 10\n\n\nclass AlienLaser(pygame.sprite.Sprite):\n def __init__(self, center, size):\n super(AlienLaser, self).__init__()\n self.size = size\n self.animation = {\"lst\": [pygame.image.load(os.path.join(f\"sprites/shots/alien/\"))]}\n\n\nclass Hit(pygame.sprite.Sprite):\n def __init__(self, center, size):\n super(Hit, self).__init__()\n self.size = size\n self.rect = (0, 0, 44, 32)\n self.animation = {\"lst\": [pygame.image.load(os.path.join(f\"sprites/shots/player/hit/hit{image}.png\")) for image\n in range(1, 3)]}\n self.image = self.animation[self.size][0]\n self.rect = self.image.get_rect()\n self.rect.center = center\n self.frame = 0\n self.last_update = pygame.time.get_ticks()\n self.frame_rate = FPS\n\n def update(self):\n now = pygame.time.get_ticks()\n if now - self.last_update > self.frame_rate:\n self.last_update = now\n self.frame += 1\n if self.frame == len(self.animation[self.size]):\n self.kill()\n else:\n center = self.rect.center\n self.image = self.animation[self.size][self.frame]\n self.rect = self.image.get_rect()\n self.rect.center = center\n\n\nclass Miss(pygame.sprite.Sprite):\n def __init__(self, center, size):\n super(Miss, self).__init__()\n self.size = size\n self.rect = (0, 0, 44, 32)\n self.animation = {\"lst\": [pygame.image.load(os.path.join(f\"sprites/shots/player/miss/miss{image}.png\")) for\n image in range(1, 3)]}\n self.image = self.animation[self.size][0]\n self.rect = self.image.get_rect()\n self.rect.center = center\n self.frame = 0\n self.last_update = pygame.time.get_ticks()\n self.frame_rate = FPS\n\n def update(self):\n now = pygame.time.get_ticks()\n if now - self.last_update > self.frame_rate:\n self.last_update = now\n self.frame += 1\n if self.frame == len(self.animation):\n self.kill()\n else:\n center = self.rect.center\n self.image = self.animation[self.size][self.frame]\n self.rect = self.image.get_rect()\n self.rect.center = center\n\n\nclass FlyingSaucer(pygame.sprite.Sprite):\n def __init__(self, x, y, move):\n super(FlyingSaucer, self).__init__()\n self.image = pygame.image.load(\"sprites/ufo.png\")\n self.rect = self.image.get_rect()\n self.x = x\n self.y = y\n self.move_x = move\n self.rect.x = self.x\n self.rect.y = self.y\n\n def update(self):\n self.rect.x += self.move_x\n if self.rect.x > display_w:\n self.kill()\n elif self.rect.x < -48:\n self.kill()\n\n\n# Functions\n\n# Main menu\ndef intro():\n done = False\n while not done:\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n done = True\n display.fill(BLACK)\n pygame.display.flip()\n clock.tick(FPS)\n\n\n# Game\ndef game():\n\n # Game variables\n done = False # Controls the game\n score = 0 # Player score\n lives = 3 # Player lives\n las_count = 0 # Laser count\n tick_counter = 0 # Time count\n shield_count = 0 # Shield count\n ufo_count = 0 # Ufo count\n\n # Game sprites\n all_sprites = pygame.sprite.Group() # Stores all sprites\n laser_list = pygame.sprite.Group() # Stores Player laser\n shield_list = pygame.sprite.Group() # Stores all shields\n ufo_list = pygame.sprite.Group() # Stores UFO\n alien_list_0 = pygame.sprite.Group() # Stores Alien top row\n alien_list_1 = pygame.sprite.Group() # Stores Alien middle rows\n alien_list_2 = pygame.sprite.Group() # Stores Alien bottom rows\n\n # Player\n player = Player()\n all_sprites.add(player)\n\n # Shields\n x = 66\n while shield_count < 4:\n shield = Shield(x, display_h * 0.84)\n all_sprites.add(shield)\n shield_list.add(shield)\n shield_count += 1\n x += 200\n\n # Aliens\n alien_row_0, alien_row_1, alien_row_2 = [], [], []\n loc_x, loc_y = 158, 100 # Initial x and y position\n for row in range(5):\n if row < 1: # Top row\n for x in range(11):\n alien_row_0.append(AlienHigh(loc_x, loc_y))\n loc_x += 48 # Increments x by 48\n for al in alien_row_0:\n all_sprites.add(al)\n alien_list_0.add(al)\n loc_x = 158 # Resets x\n loc_y += 50 # Increments y by 50\n elif row < 3: # Middle rows\n for x in range(11):\n alien_row_1.append(AlienMid(loc_x, loc_y))\n loc_x += 48\n for al in alien_row_1:\n all_sprites.add(al)\n alien_list_1.add(al)\n loc_x = 158\n loc_y += 50\n elif row <= 4: # Bottom rows\n for x in range(11):\n alien_row_2.append(AlienLow(loc_x, loc_y))\n loc_x += 48\n for al in alien_row_2:\n all_sprites.add(al)\n alien_list_2.add(al)\n loc_x = 158\n loc_y += 50\n\n while not done:\n tick_counter += 1\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n done = True\n elif event.type == pygame.KEYDOWN:\n if event.key == pygame.K_RIGHT:\n player.control(3)\n elif event.key == pygame.K_LEFT:\n player.control(-3)\n elif event.key == pygame.K_UP:\n if las_count == 0:\n laser = Laser()\n laser.rect.x = player.rect.x + 11\n laser.rect.y = player.rect.y - 16\n all_sprites.add(laser)\n laser_list.add(laser)\n las_count += 1\n player.shots += 1\n else:\n continue\n elif event.type == pygame.KEYUP:\n if event.key == pygame.K_RIGHT:\n player.control(0)\n elif event.key == pygame.K_LEFT:\n player.control(0)\n else:\n continue\n\n all_sprites.update()\n\n # Ufo creation based on timer, direction based on player.shots\n if tick_counter in [301, 1000, 1701]: # Needs to be corrected\n if player.shots % 2 == 0:\n ufo = FlyingSaucer(-48, 70, 2)\n ufo_list.add(ufo)\n all_sprites.add(ufo)\n ufo_count += 1\n else:\n ufo = FlyingSaucer(800, 70, -2)\n ufo_list.add(ufo)\n all_sprites.add(ufo)\n ufo_count += 1\n\n # Player shots\n for laser in laser_list:\n alien_hit_list_0 = pygame.sprite.spritecollide(laser, alien_list_0, True)\n alien_hit_list_1 = pygame.sprite.spritecollide(laser, alien_list_1, True)\n alien_hit_list_2 = pygame.sprite.spritecollide(laser, alien_list_2, True)\n ufo_hit_list = pygame.sprite.spritecollide(laser, ufo_list, True)\n if alien_hit_list_0:\n blast = Hit(laser.rect.center, \"lst\")\n all_sprites.add(blast)\n all_sprites.remove(laser)\n laser_list.remove(laser)\n score += 30\n las_count = 0\n if alien_hit_list_1:\n blast = Hit(laser.rect.center, \"lst\")\n all_sprites.add(blast)\n all_sprites.remove(laser)\n laser_list.remove(laser)\n score += 20\n las_count = 0\n if alien_hit_list_2:\n blast = Hit(laser.rect.center, \"lst\")\n all_sprites.add(blast)\n all_sprites.remove(laser)\n laser_list.remove(laser)\n score += 10\n las_count = 0\n\n if ufo_hit_list:\n blast = Hit(laser.rect.center, \"lst\")\n all_sprites.add(blast)\n all_sprites.remove(laser)\n laser_list.remove(laser)\n las_count = 0\n if ufo_count > 1:\n if player.shots < 15 or player.shots > 15:\n score += random.choice([50, 100, 150])\n player.shots = 0\n else:\n score += 300\n player.shots = 0\n else:\n if player.shots < 24 or player.shots > 24:\n score += random.choice([50, 100, 150])\n player.shots = 0\n else:\n score += 300\n player.shots = 0\n\n elif laser.rect.y < 70:\n blast = Miss(laser.rect.center, \"lst\")\n all_sprites.add(blast)\n all_sprites.remove(laser)\n laser_list.remove(laser)\n las_count = 0\n\n # Player not allowed off-screen\n if player.rect.x > display_w - player.width:\n player.rect.x = display_w - player.width\n elif player.rect.x < 0:\n player.rect.x = 0\n\n # DISPLAY DRAW\n display.fill(BLACK)\n all_sprites.draw(display)\n\n # SCREEN TOP\n player1_text = FONT.render(\"SCORE < 1 >\", True, WHITE)\n player2_text = FONT.render(\"SCORE < 2 >\", True, WHITE)\n hi_score_text = FONT.render(\"HI-SCORE\", True, WHITE)\n player.score(score)\n player2_score = FONT.render(\"0000\", True, WHITE)\n hi_score_score = FONT.render(\"0000\", True, WHITE)\n display.blit(player1_text, (100, 0))\n display.blit(player2_text, (600, 0))\n display.blit(hi_score_text, (350, 0))\n display.blit(player2_score, (630, 40))\n display.blit(hi_score_score, (380, 40))\n # SCREEN BOTTOM\n pygame.draw.line(display, GREEN, (0, display_h - 50), (display_w, display_h - 50), 2)\n lives_text = FONT.render(str(lives), True, WHITE)\n credit_text = FONT.render(\"CREDIT 00\", True, WHITE)\n display.blit(lives_text, (20, display_h - 48))\n display.blit(credit_text, (600, display_h - 48))\n player.lives(lives)\n\n # Display update\n pygame.display.flip()\n clock.tick(FPS)\n\n\nif __name__ == '__main__':\n game()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7570332288742065,\n \"alphanum_fraction\": 0.7672634124755859,\n \"avg_line_length\": 47.875,\n \"blob_id\": \"311cde8a953a773f55705f48babbdc4aa16be0f7\",\n \"content_id\": \"d472411a76abe4a9ddddea8d59ec2c4f6cba707d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 391,\n \"license_type\": \"no_license\",\n \"max_line_length\": 127,\n \"num_lines\": 8,\n \"path\": \"/README.md\",\n \"repo_name\": \"em-git/Games\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Games\\nVery simple games created using the [Pygame](https://www.pygame.org/wiki/about) library.\\n\\nAll projects in this repository are a work in progress and any updates to the code is based on my availability to work on them.\\n\\nCurrent projects:\\n- [Space Invaders](https://github.com/em-git/Games/blob/master/space_invaders.py) Yes, yet another Space Invaders game.\\n- [4972]() Arcade shooter\\n\"\n },\n {\n \"alpha_fraction\": 0.47861436009407043,\n \"alphanum_fraction\": 0.5025804042816162,\n \"avg_line_length\": 32.758949279785156,\n \"blob_id\": \"33b84deca70c39c3801ed74c23d1e943cceedf95\",\n \"content_id\": \"0af55738b2d9dfbe26881231d234d971fec57e42\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 14145,\n \"license_type\": \"no_license\",\n \"max_line_length\": 119,\n \"num_lines\": 419,\n \"path\": \"/space_invaders.py\",\n \"repo_name\": \"em-git/Games\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Created by Eduardo Morais\\n# Name: Space Invaders\\n# Version: 0.1\\n# Resources:\\n# http://www.classicgaming.cc/classics/space - invaders/play - guide\\n# https://spaceinvaders.fandom.com/wiki/Space_Invaders_wiki\\n# http://computerarcheology.com/Arcade/SpaceInvaders/\\n# imports\\nimport os\\nimport random\\nimport pygame\\nimport spritesheet\\n\\n\\n# Initialization\\npygame.init()\\ndisplay_w, display_h = 800, 800\\ndisplay = pygame.display.set_mode((display_w, display_h))\\npygame.display.set_caption(\\\"Space Invaders\\\")\\nclock = pygame.time.Clock()\\n\\n# Constants\\nFONT = pygame.font.Font(\\\"fonts/space_invaders.ttf\\\", 20)\\nWHITE = (255, 255, 255)\\nBLACK = (0, 0, 0)\\nGREEN = (0, 255, 0)\\nFPS = 60\\n\\n\\n# Classes\\nclass Player(pygame.sprite.Sprite):\\n def __init__(self):\\n super(Player, self).__init__()\\n self.image = pygame.image.load(\\\"sprites/player.png\\\").convert()\\n self.width = 26\\n self.x = display_w * 0.48\\n self.y = display_h * 0.9\\n self.move_x = 0\\n self.rect = self.image.get_rect()\\n self.rect.x = self.x\\n self.rect.y = self.y\\n self.shots = 0\\n\\n def update(self, *args):\\n self.rect.x += self.move_x\\n\\n def control(self, x):\\n self.move_x = x\\n\\n def lives(self, lives):\\n x_coord = 0\\n for var in range(lives-1):\\n display.blit(self.image, (x_coord + 50, display_h - 45))\\n x_coord += 30\\n\\n def score(self, score):\\n value = FONT.render(str(score).zfill(4), False, WHITE)\\n display.blit(value, (130, 40))\\n\\n\\nclass Alien(pygame.sprite.Sprite):\\n def __init__(self, strip, rect, x, y):\\n super(Alien, self).__init__()\\n self.frames = FPS/6\\n self.strip = [spritesheet.SpriteStripAnim(strip, rect, 2, 1, True, self.frames)]\\n self.image = self.strip[0].next()\\n self.x = x\\n self.y = y\\n self.move_x = 2\\n self.rect = self.image.get_rect()\\n self.rect.x = self.x\\n self.rect.y = self.y\\n\\n def update(self):\\n self.image = self.strip[0].next()\\n self.rect.x += self.move_x\\n if self.rect.x > 776:\\n self.move_x = -2\\n self.rect.y += 24\\n elif self.rect.x < 0:\\n self.move_x = 2\\n self.rect.y += 24\\n\\n\\nclass AlienLow(Alien):\\n def __init__(self, x, y):\\n super(AlienLow, self).__init__(\\\"sprites/alien3.png\\\", (0, 0, 24, 16), x, y)\\n\\n\\nclass AlienMid(Alien):\\n def __init__(self, x, y):\\n super(AlienMid, self).__init__(\\\"sprites/alien2.png\\\", (0, 0, 22, 16), x, y)\\n\\n\\nclass AlienHigh(Alien):\\n def __init__(self, x, y):\\n super(AlienHigh, self).__init__(\\\"sprites/alien1.png\\\", (0, 0, 22, 16), x, y)\\n\\n\\nclass Shield(pygame.sprite.Sprite):\\n def __init__(self, x, y):\\n super(Shield, self).__init__()\\n self.image = pygame.image.load(\\\"sprites/shield.png\\\")\\n self.x = x\\n self.y = y\\n self.rect = self.image.get_rect()\\n self.rect.x = self.x\\n self.rect.y = self.y\\n\\n\\nclass Laser(pygame.sprite.Sprite):\\n def __init__(self):\\n super(Laser, self).__init__()\\n self.image = pygame.image.load(\\\"sprites/player_laser.png\\\")\\n self.rect = self.image.get_rect()\\n\\n def update(self, *args):\\n self.rect.y -= 10\\n\\n\\nclass AlienLaser(pygame.sprite.Sprite):\\n def __init__(self, center, size):\\n super(AlienLaser, self).__init__()\\n self.size = size\\n self.animation = {\\\"lst\\\": [pygame.image.load(os.path.join(f\\\"sprites/shots/alien/\\\"))]}\\n\\n\\nclass Hit(pygame.sprite.Sprite):\\n def __init__(self, center, size):\\n super(Hit, self).__init__()\\n self.size = size\\n self.rect = (0, 0, 44, 32)\\n self.animation = {\\\"lst\\\": [pygame.image.load(os.path.join(f\\\"sprites/shots/player/hit/hit{image}.png\\\")) for image\\n in range(1, 3)]}\\n self.image = self.animation[self.size][0]\\n self.rect = self.image.get_rect()\\n self.rect.center = center\\n self.frame = 0\\n self.last_update = pygame.time.get_ticks()\\n self.frame_rate = FPS\\n\\n def update(self):\\n now = pygame.time.get_ticks()\\n if now - self.last_update > self.frame_rate:\\n self.last_update = now\\n self.frame += 1\\n if self.frame == len(self.animation[self.size]):\\n self.kill()\\n else:\\n center = self.rect.center\\n self.image = self.animation[self.size][self.frame]\\n self.rect = self.image.get_rect()\\n self.rect.center = center\\n\\n\\nclass Miss(pygame.sprite.Sprite):\\n def __init__(self, center, size):\\n super(Miss, self).__init__()\\n self.size = size\\n self.rect = (0, 0, 44, 32)\\n self.animation = {\\\"lst\\\": [pygame.image.load(os.path.join(f\\\"sprites/shots/player/miss/miss{image}.png\\\")) for\\n image in range(1, 3)]}\\n self.image = self.animation[self.size][0]\\n self.rect = self.image.get_rect()\\n self.rect.center = center\\n self.frame = 0\\n self.last_update = pygame.time.get_ticks()\\n self.frame_rate = FPS\\n\\n def update(self):\\n now = pygame.time.get_ticks()\\n if now - self.last_update > self.frame_rate:\\n self.last_update = now\\n self.frame += 1\\n if self.frame == len(self.animation):\\n self.kill()\\n else:\\n center = self.rect.center\\n self.image = self.animation[self.size][self.frame]\\n self.rect = self.image.get_rect()\\n self.rect.center = center\\n\\n\\nclass FlyingSaucer(pygame.sprite.Sprite):\\n def __init__(self, x, y, move):\\n super(FlyingSaucer, self).__init__()\\n self.image = pygame.image.load(\\\"sprites/ufo.png\\\")\\n self.rect = self.image.get_rect()\\n self.x = x\\n self.y = y\\n self.move_x = move\\n self.rect.x = self.x\\n self.rect.y = self.y\\n\\n def update(self):\\n self.rect.x += self.move_x\\n if self.rect.x > display_w:\\n self.kill()\\n elif self.rect.x < -48:\\n self.kill()\\n\\n\\n# Functions\\n\\n# Main menu\\ndef intro():\\n done = False\\n while not done:\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n done = True\\n display.fill(BLACK)\\n pygame.display.flip()\\n clock.tick(FPS)\\n\\n\\n# Game\\ndef game():\\n\\n # Game variables\\n done = False # Controls the game\\n score = 0 # Player score\\n lives = 3 # Player lives\\n las_count = 0 # Laser count\\n tick_counter = 0 # Time count\\n shield_count = 0 # Shield count\\n ufo_count = 0 # Ufo count\\n\\n # Game sprites\\n all_sprites = pygame.sprite.Group() # Stores all sprites\\n laser_list = pygame.sprite.Group() # Stores Player laser\\n shield_list = pygame.sprite.Group() # Stores all shields\\n ufo_list = pygame.sprite.Group() # Stores UFO\\n alien_list_0 = pygame.sprite.Group() # Stores Alien top row\\n alien_list_1 = pygame.sprite.Group() # Stores Alien middle rows\\n alien_list_2 = pygame.sprite.Group() # Stores Alien bottom rows\\n\\n # Player\\n player = Player()\\n all_sprites.add(player)\\n\\n # Shields\\n x = 66\\n while shield_count < 4:\\n shield = Shield(x, display_h * 0.84)\\n all_sprites.add(shield)\\n shield_list.add(shield)\\n shield_count += 1\\n x += 200\\n\\n # Aliens\\n alien_row_0, alien_row_1, alien_row_2 = [], [], []\\n loc_x, loc_y = 158, 100 # Initial x and y position\\n for row in range(5):\\n if row < 1: # Top row\\n for x in range(11):\\n alien_row_0.append(AlienHigh(loc_x, loc_y))\\n loc_x += 48 # Increments x by 48\\n for al in alien_row_0:\\n all_sprites.add(al)\\n alien_list_0.add(al)\\n loc_x = 158 # Resets x\\n loc_y += 50 # Increments y by 50\\n elif row < 3: # Middle rows\\n for x in range(11):\\n alien_row_1.append(AlienMid(loc_x, loc_y))\\n loc_x += 48\\n for al in alien_row_1:\\n all_sprites.add(al)\\n alien_list_1.add(al)\\n loc_x = 158\\n loc_y += 50\\n elif row <= 4: # Bottom rows\\n for x in range(11):\\n alien_row_2.append(AlienLow(loc_x, loc_y))\\n loc_x += 48\\n for al in alien_row_2:\\n all_sprites.add(al)\\n alien_list_2.add(al)\\n loc_x = 158\\n loc_y += 50\\n\\n while not done:\\n tick_counter += 1\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n done = True\\n elif event.type == pygame.KEYDOWN:\\n if event.key == pygame.K_RIGHT:\\n player.control(3)\\n elif event.key == pygame.K_LEFT:\\n player.control(-3)\\n elif event.key == pygame.K_UP:\\n if las_count == 0:\\n laser = Laser()\\n laser.rect.x = player.rect.x + 11\\n laser.rect.y = player.rect.y - 16\\n all_sprites.add(laser)\\n laser_list.add(laser)\\n las_count += 1\\n player.shots += 1\\n else:\\n continue\\n elif event.type == pygame.KEYUP:\\n if event.key == pygame.K_RIGHT:\\n player.control(0)\\n elif event.key == pygame.K_LEFT:\\n player.control(0)\\n else:\\n continue\\n\\n all_sprites.update()\\n\\n # Ufo creation based on timer, direction based on player.shots\\n if tick_counter in [301, 1000, 1701]: # Needs to be corrected\\n if player.shots % 2 == 0:\\n ufo = FlyingSaucer(-48, 70, 2)\\n ufo_list.add(ufo)\\n all_sprites.add(ufo)\\n ufo_count += 1\\n else:\\n ufo = FlyingSaucer(800, 70, -2)\\n ufo_list.add(ufo)\\n all_sprites.add(ufo)\\n ufo_count += 1\\n\\n # Player shots\\n for laser in laser_list:\\n alien_hit_list_0 = pygame.sprite.spritecollide(laser, alien_list_0, True)\\n alien_hit_list_1 = pygame.sprite.spritecollide(laser, alien_list_1, True)\\n alien_hit_list_2 = pygame.sprite.spritecollide(laser, alien_list_2, True)\\n ufo_hit_list = pygame.sprite.spritecollide(laser, ufo_list, True)\\n if alien_hit_list_0:\\n blast = Hit(laser.rect.center, \\\"lst\\\")\\n all_sprites.add(blast)\\n all_sprites.remove(laser)\\n laser_list.remove(laser)\\n score += 30\\n las_count = 0\\n if alien_hit_list_1:\\n blast = Hit(laser.rect.center, \\\"lst\\\")\\n all_sprites.add(blast)\\n all_sprites.remove(laser)\\n laser_list.remove(laser)\\n score += 20\\n las_count = 0\\n if alien_hit_list_2:\\n blast = Hit(laser.rect.center, \\\"lst\\\")\\n all_sprites.add(blast)\\n all_sprites.remove(laser)\\n laser_list.remove(laser)\\n score += 10\\n las_count = 0\\n\\n if ufo_hit_list:\\n blast = Hit(laser.rect.center, \\\"lst\\\")\\n all_sprites.add(blast)\\n all_sprites.remove(laser)\\n laser_list.remove(laser)\\n las_count = 0\\n if ufo_count > 1:\\n if player.shots < 15 or player.shots > 15:\\n score += random.choice([50, 100, 150])\\n player.shots = 0\\n else:\\n score += 300\\n player.shots = 0\\n else:\\n if player.shots < 24 or player.shots > 24:\\n score += random.choice([50, 100, 150])\\n player.shots = 0\\n else:\\n score += 300\\n player.shots = 0\\n\\n elif laser.rect.y < 70:\\n blast = Miss(laser.rect.center, \\\"lst\\\")\\n all_sprites.add(blast)\\n all_sprites.remove(laser)\\n laser_list.remove(laser)\\n las_count = 0\\n\\n # Player not allowed off-screen\\n if player.rect.x > display_w - player.width:\\n player.rect.x = display_w - player.width\\n elif player.rect.x < 0:\\n player.rect.x = 0\\n\\n # DISPLAY DRAW\\n display.fill(BLACK)\\n all_sprites.draw(display)\\n\\n # SCREEN TOP\\n player1_text = FONT.render(\\\"SCORE < 1 >\\\", True, WHITE)\\n player2_text = FONT.render(\\\"SCORE < 2 >\\\", True, WHITE)\\n hi_score_text = FONT.render(\\\"HI-SCORE\\\", True, WHITE)\\n player.score(score)\\n player2_score = FONT.render(\\\"0000\\\", True, WHITE)\\n hi_score_score = FONT.render(\\\"0000\\\", True, WHITE)\\n display.blit(player1_text, (100, 0))\\n display.blit(player2_text, (600, 0))\\n display.blit(hi_score_text, (350, 0))\\n display.blit(player2_score, (630, 40))\\n display.blit(hi_score_score, (380, 40))\\n # SCREEN BOTTOM\\n pygame.draw.line(display, GREEN, (0, display_h - 50), (display_w, display_h - 50), 2)\\n lives_text = FONT.render(str(lives), True, WHITE)\\n credit_text = FONT.render(\\\"CREDIT 00\\\", True, WHITE)\\n display.blit(lives_text, (20, display_h - 48))\\n display.blit(credit_text, (600, display_h - 48))\\n player.lives(lives)\\n\\n # Display update\\n pygame.display.flip()\\n clock.tick(FPS)\\n\\n\\nif __name__ == '__main__':\\n game()\\n\"\n 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like","value":[{"alpha_fraction":0.47091805934906006,"alphanum_fraction":0.5047415494918823,"avg_line_length":37.13508224487305,"blob_id":"be7df13b40cfc0fcc2dc63a996de0160804543c1","content_id":"58f7f804a7a16095fb94068bdefdff947cec163e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":98807,"license_type":"no_license","max_line_length":211,"num_lines":2591,"path":"/lib_rnns.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue Apr 2 16:50:55 2019\n\n@author: mbeiran\n\"\"\"\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport torch\n\n#%%\ndef set_plot(ll = 7):\n plt.style.use('ggplot')\n\n fig_width = 1.5*2.2 # width in inches\n fig_height = 1.5*2 # height in inches\n fig_size = [fig_width,fig_height]\n plt.rcParams['figure.figsize'] = fig_size\n plt.rcParams['figure.autolayout'] = True\n \n plt.rcParams['lines.linewidth'] = 1.2\n plt.rcParams['lines.markeredgewidth'] = 0.003\n plt.rcParams['lines.markersize'] = 3\n plt.rcParams['font.size'] = 14#9\n plt.rcParams['legend.fontsize'] = 11#7.\n plt.rcParams['axes.facecolor'] = '1'\n plt.rcParams['axes.edgecolor'] = '0'\n plt.rcParams['axes.linewidth'] = '0.7'\n \n plt.rcParams['axes.labelcolor'] = '0'\n plt.rcParams['axes.labelsize'] = 14#9\n plt.rcParams['xtick.labelsize'] = 11#7\n plt.rcParams['ytick.labelsize'] = 11#7\n plt.rcParams['xtick.color'] = '0'\n plt.rcParams['ytick.color'] = '0'\n plt.rcParams['xtick.major.size'] = 2\n plt.rcParams['ytick.major.size'] = 2\n \n plt.rcParams['font.sans-serif'] = 'Arial'\n \n cls = np.zeros((ll,3))\n \n cl11 = np.array((102, 153, 255))/255.\n cl12 = np.array((53, 153, 53))/255.\n \n cl21 = np.array((255, 204, 51))/255.\n cl22 = np.array((204, 0, 0))/255.\n \n if ll==7:\n cls[0,:] = 0.4*np.ones((3,))\n \n cls[1,:] = cl11\n cls[2,:] = 0.5*cl11+0.5*cl12\n cls[3,:] = cl12\n \n cls[4,:] = cl21\n cls[5,:] = 0.5*cl21+0.5*cl22\n cls[6,:] = cl22\n elif ll == 5:\n cls[0,:] = 0.4*np.ones((3,)) \n \n cls[2,:] = cl12\n \n cls[3,:] = cl21\n \n cls[4,:] = cl22 \n return(cls)\n \ndef set_plot2(ll = 7):\n plt.style.use('ggplot')\n\n fig_width = 1.5*2.2 # width in inches\n fig_height = 1.5*2 # height in inches\n fig_size = [fig_width,fig_height]\n plt.rcParams['figure.figsize'] = fig_size\n plt.rcParams['figure.autolayout'] = True\n \n plt.rcParams['lines.linewidth'] = 1.2\n plt.rcParams['lines.markeredgewidth'] = 0.003\n plt.rcParams['lines.markersize'] = 3\n plt.rcParams['font.size'] = 14#9\n plt.rcParams['legend.fontsize'] = 11#7.\n plt.rcParams['axes.facecolor'] = '1'\n plt.rcParams['axes.edgecolor'] = '0'\n plt.rcParams['axes.linewidth'] = '0.7'\n \n plt.rcParams['axes.labelcolor'] = '0'\n plt.rcParams['axes.labelsize'] = 14#9\n plt.rcParams['xtick.labelsize'] = 11#7\n plt.rcParams['ytick.labelsize'] = 11#7\n plt.rcParams['xtick.color'] = '0'\n plt.rcParams['ytick.color'] = '0'\n plt.rcParams['xtick.major.size'] = 2\n plt.rcParams['ytick.major.size'] = 2\n \n plt.rcParams['font.sans-serif'] = 'Arial'\n \n cls = np.zeros((ll,3))\n \n cl11 = np.array((102, 153, 255))/255.\n cl12 = np.array((53, 153, 53))/255.\n \n cl21 = np.array((255, 204, 51))/255.\n cl22 = np.array((204, 0, 0))/255.\n \n if ll==7:\n cls[0,:] = 0.4*np.ones((3,))\n \n cls[1,:] = cl11\n cls[2,:] = 0.5*cl11+0.5*cl12\n cls[3,:] = cl12\n \n cls[4,:] = cl21\n cls[5,:] = 0.5*cl21+0.5*cl22\n cls[6,:] = cl22\n \n cls = cls[1:]\n cls = cls[::-1]\n \n c2 = [67/256, 90/256, 162/256]\n c1 = [220/256, 70/256, 51/256]\n cls[0,:]=c1\n cls[5,:]=c2\n elif ll == 5:\n cls[0,:] = 0.4*np.ones((3,)) \n \n cls[2,:] = cl12\n \n cls[3,:] = cl21\n \n cls[4,:] = cl22 \n return(cls)\n# Create input \n \ndef plot_readout(net_low, time, Nt, time_com, amps, R_on, dt, string1, string2,\n trials=100, plot_trace=True, plot_psycho=True, pl_min = 60, pl_max = 1350, mean=False, png=False, new=False):\n cls = set_plot2()\n fig = plt.figure()\n ax = fig.add_subplot(111)\n \n Tp = np.zeros(len(amps))\n Tp_sd = np.zeros(len(amps)) \n thres = 0.35\n train_int = (0.5+thres)*time_com*dt\n for xx in range(len(amps)):\n \n trials = 100#100\n \n input_tr, output_tr, mask_tr, ct_tr, ct2_tr = create_inp_out2(trials, Nt, time_com, amps, R_on, 0., \n just=xx, perc = 0.0)\n \n outp, traj = net_low.forward(input_tr, return_dynamics=True)\n outp = outp.detach().numpy()\n traj = traj.detach().numpy()\n \n avg_outp = np.mean(outp[:,:,0],0)\n if new==False:\n ax.plot(-R_on*dt/1000+time*dt/1000, avg_outp, color=cls[xx,:])\n else:\n ax.plot(-R_on*dt/1000+time*dt/1000, avg_outp, color=cls[xx,:], lw=2.)\n \n if mean == False:\n if new ==False:\n ax.plot(-R_on*dt/1000+time*dt/1000, outp[:,:,0].T, color=cls[xx,:], lw= 0.1)\n else:\n ax.plot(-R_on*dt/1000+time*dt/1000, outp[:,:,0].T, color=cls[xx,:], lw= 1.2)\n if new==False:\n ax.plot(time[mask_tr.detach().numpy()[xx,:,0]>0.]*dt/1000-R_on*dt/1000, output_tr.detach().numpy()[xx,mask_tr.detach().numpy()[xx,:]>0.], '--k', lw=1.0)\n else:\n ax.plot(time[mask_tr.detach().numpy()[xx,:,0]>0.]*dt/1000-R_on*dt/1000, output_tr.detach().numpy()[xx,mask_tr.detach().numpy()[xx,:]>0.], '--', c = [0.3, 0.3, 0.3], lw=1., zorder=2)\n \n outp_thres = outp[:,:,0]-thres\n time_cross = np.zeros(trials)\n for t in range(trials):\n t_ser = outp_thres[t,:]\n if len(time[t_ser>0])>0:\n time_cross[t] = (time[t_ser>0][0]-R_on)*dt\n else:\n time_cross[t] = np.nan\n \n Tp[xx] = np.mean(time_cross)-R_on*10\n Tp_sd[xx] = np.std(time_cross)-R_on*10\n xl = np.min( [time[-1]*dt/1000, 1.4*(np.max(time_com)+R_on)*dt/1000])\n ax.set_xlim([-0.6, xl]) \n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom')\n plt.xlabel('time after Set (s)')\n plt.ylabel('read out')\n if png==False:\n plt.savefig(string1)\n else:\n plt.savefig(string1, dpi=1200)\n plt.show()\n \n fig = plt.figure()\n ax = fig.add_subplot(111)\n for xx in range(len(amps)):\n plt.errorbar(train_int[xx], Tp[xx], yerr = Tp_sd[xx], fmt='o', markersize=10, color=cls[xx,:])\n plt.plot(train_int, train_int, 'k')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom')\n plt.xlabel('trained interval [ms]')\n plt.ylabel(r'$t_p$ [ms]')\n if png==False:\n plt.savefig(string2)\n else:\n plt.savefig(string2, dpi=1200)\n plt.show()\n #plt.plot([pl_min, pl_max], [pl_min, pl_max], 'k')\n return(Tp, Tp_sd, train_int)\n \ndef plot_readout2(net_low, time, Nt, time_com, amps, R_on, dt, string1, string2,\n trials=100, plot_trace=True, plot_psycho=True, pl_min = 60, pl_max = 1350, mean=False):\n cls = set_plot()\n fig = plt.figure()\n ax = fig.add_subplot(111)\n \n #Tp = np.zeros(len(amps))\n #Tp_sd = np.zeros(len(amps)) \n #thres = 0.35\n #train_int = (0.5+thres)*time_com*dt\n for xx in range(len(amps)):\n \n trials = 100\n \n input_tr, output_tr, mask_tr, ct_tr, ct2_tr = create_inp_out2(trials, Nt, time_com, amps, R_on, 0., \n just=xx, perc = 0.0)\n \n outp, traj = net_low.forward(input_tr, return_dynamics=True)\n outp = outp.detach().numpy()\n traj = traj.detach().numpy()\n \n #dist = np.diff(traj,axis=1)\n speed = np.sqrt(np.sum(np.diff(traj,axis=1)**2,-1))\n avg_outp = np.mean(speed,0)#np.mean(np.diff(outp[:,:,0])/dt,0)\n ax.plot(time[:-1]*dt, avg_outp, color=cls[xx,:])\n if mean == False:\n #ax.plot(time[:-1]*dt, np.diff(outp[:,:,0]).T, color=cls[xx,:], lw= 0.1)\n ax.plot(time[:-1]*dt, speed[:,:,0].T, color=cls[xx,:], lw= 0.1)\n #ax.plot(time[mask_tr.detach().numpy()[xx,:,0]>0.]*dt, output_tr.detach().numpy()[xx,mask_tr.detach().numpy()[xx,:]>0.], '--k', lw=1.0)\n \n #outp_thres = outp[:,:,0]-thres\n #time_cross = np.zeros(trials)\n #for t in range(trials):\n # t_ser = outp_thres[t,:]\n # if len(time[t_ser>0])>0:\n # time_cross[t] = (time[t_ser>0][0]-R_on)*dt\n # else:\n # time_cross[t] = np.nan\n \n #Tp[xx] = np.mean(time_cross)\n #Tp_sd[xx] = np.std(time_cross)\n xl = np.min( [time[-1]*dt, 1.4*(np.max(time_com)+R_on)*dt])\n ax.set_xlim([0, xl]) \n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom')\n plt.xlabel('time [ms]')\n ax.set_ylim([0,6])\n #plt.yscale('log')\n plt.ylabel('speed')\n plt.savefig(string1)\n plt.show()\n \n# fig = plt.figure()\n# ax = fig.add_subplot(111)\n# for xx in range(len(amps)):\n# plt.errorbar(train_int[xx], Tp[xx], yerr = Tp_sd[xx], fmt='o', markersize=10, color=cls[xx,:])\n# plt.plot(train_int, train_int, 'k')\n# ax.spines['top'].set_visible(False)\n# ax.spines['right'].set_visible(False)\n# ax.yaxis.set_ticks_position('left')\n# ax.xaxis.set_ticks_position('bottom')\n# plt.xlabel('trained interval [ms]')\n# plt.ylabel(r'$t_p$ [ms]')\n# plt.savefig(string2)\n# plt.show()\n #plt.plot([pl_min, pl_max], [pl_min, pl_max], 'k')\n return()\n\ndef create_inp_out(trials, Nt, tss, amps, R_on, SR_on, just=-1, perc = 0.2):\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 2))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n \n r_inp = np.ones((trials, Nt))\n #r2_inp = np.ones((trials, Nt))\n s_inp = np.zeros((trials, Nt))\n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have the set cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n \n rnd = np.zeros(trials)\n if SR_on>0:\n rnd = np.random.randint(-SR_on, SR_on, trials)\n\n for itr in range(trials): \n if ct2[itr]:\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<np.max(tss)+R_on+1+rnd[itr])\n else:\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<tss[ct[itr]]+R_on+1+rnd[itr])\n s_inp[itr, time>R_on+rnd[itr]] = 100.\n s_inp[itr, time>1+R_on+rnd[itr]] = 0.\n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -0.9*strt, int(sum(maskt[itr,:,0])), endpoint=True)\n #Include zero read-out in cost function\n if ct2[itr]:\n maskt[itr,:,0] = (time<np.max(tss)+R_on+1+rnd[itr])\n else:\n maskt[itr,:,0] = (time<tss[ct[itr]]+R_on+1+rnd[itr])\n if just==-1:\n r_inp[itr, :] = amps[ct[itr]]*r_inp[itr,:] \n \n if just>-1:\n r_inp = amps[just]*r_inp\n \n inputt[:,:,0] = r_inp #cue\n inputt[:,:,1] = s_inp #set\n #inputt[:,:,2] = r2_inp\n #outputt = strt*np.ones((trials, Nt, 1))\n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2)\n \ndef create_inp_out2(trials, Nt, tss, amps, R_on, SR_on=80, just=-1, perc = 0.2):\n '''\n Missing\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 2))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n \n r_inp = np.ones((trials, Nt))\n #r2_inp = np.ones((trials, Nt))\n s_inp = np.zeros((trials, Nt))\n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have the set cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n \n rnd = np.zeros(trials)\n if SR_on>0:\n rnd = np.random.randint(-SR_on, SR_on, trials)\n\n for itr in range(trials): \n if ct2[itr]:\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<np.max(tss)+R_on+1+rnd[itr])\n else:\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<tss[ct[itr]]+R_on+1+rnd[itr])\n mask_aft = time>=tss[ct[itr]]+R_on+1+rnd[itr]\n s_inp[itr, time>R_on+rnd[itr]] = 10.\n s_inp[itr, time>1+R_on+rnd[itr]] = 0.\n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n #Include zero read-out in cost function\n if ct2[itr]:\n maskt[itr,:,0] = (time<Nt)#np.max(tss)+R_on+1+rnd[itr])\n else:\n maskt[itr,:,0] = (time<Nt)#tss[ct[itr]]+R_on+1+rnd[itr])\n if just==-1:\n r_inp[itr, :] = amps[ct[itr]]*r_inp[itr,:] \n \n if just>-1:\n r_inp = amps[just]*r_inp\n \n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp\n #inputt[:,:,2] = r2_inp\n #outputt = strt*np.ones((trials, Nt, 1))\n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2)\n\ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n\ndef self_con(kappas, rho, means_z, var_z, w_z, means_x, var_x, w_x):\n G = np.zeros(len(kappas))\n for ikap, kap in enumerate(kappas):\n tot_w = np.zeros(len(w_z)*len(w_x))\n tot_mu = np.zeros(len(tot_w))\n tot_delta = np.zeros(len(tot_w))\n tot_a = np.zeros(len(tot_w))\n tot_sig = np.zeros(len(tot_w))\n fact1 = np.zeros(len(tot_w))\n fact2 = np.zeros(len(tot_w))\n \n \n \n count= 0\n for k in range(len(w_z)):\n for l in range(len(w_x)):\n tot_w[count] = w_z[k]*w_x[l]\n tot_mu[count] = kap*(means_x[l]+rho*means_z[k])\n tot_delta[count] = kap**2*(var_x[l]+rho**2*var_z[k])\n tot_a[count] = means_z[k]\n tot_sig[count] = np.sqrt(var_z[k]) \n \n fact1 += tot_w[count]*tot_a[count] * Phi(tot_mu[count], tot_delta[count])\n fact2 += kap*rho*tot_w[count]*tot_sig[count]*Prime(tot_mu[count], tot_delta[count])\n count +=1\n G[ikap] = np.sum(fact1)+np.sum(fact2)\n\n return(G) \n\ndef self_condir(kappas, m, n, Icue, amp):\n G = np.zeros(len(kappas))\n for ikap, kap in enumerate(kappas):\n G[ikap] = np.mean(n*np.tanh(m*kap+Icue*amp))\n return(G) \n\ndef self_condir2(kappas1, kappas2, m1, n1, m2, n2, Icue, amp):\n G = np.zeros((len(kappas1), len(kappas2),2))\n Gm = np.zeros((len(kappas1), len(kappas2),2))\n \n E = np.zeros((len(kappas1), len(kappas2)))\n \n K1 = np.zeros((len(kappas1), len(kappas2)))\n K2 = np.zeros((len(kappas1), len(kappas2)))\n for ikap1, kap1 in enumerate(kappas1):\n for ikap2, kap2 in enumerate(kappas2): \n G[ikap1, ikap2,0] = np.mean(n1*np.tanh(m1*kap1+m2*kap2+Icue[:,0]*amp))\n G[ikap1, ikap2,1] = np.mean(n2*np.tanh(m1*kap1+m2*kap2+Icue[:,0]*amp))\n Gm[ikap1, ikap2,0] = G[ikap1, ikap2,0]-kap1\n Gm[ikap1, ikap2,1] = G[ikap1, ikap2,1]-kap2\n \n E[ikap1, ikap2] = (G[ikap1, ikap2,0]-kap1)**2+(G[ikap1, ikap2,1]-kap2)**2\n K1[ikap1, ikap2] = kap1\n K2[ikap1, ikap2] = kap2\n \n return(G, E, Gm, K1, K2) \n\ndef self_condir2s(kappas1, m1, n1, m2, n2, Icue, amp):\n G = np.zeros((len(kappas1)))\n \n for ikap1, kap1 in enumerate(kappas1):\n G[ikap1] = np.mean(n1*np.tanh(m1*kap1+m2*kap1+Icue[:,0]*amp))+np.mean(n2*np.tanh(m1*kap1+m2*kap1+Icue[:,0]*amp))\n return(G) \n \ndef angle2(vec1, vec2): \n norm1 = np.sqrt(np.dot(vec1.T, vec1))\n norm2 = np.sqrt(np.dot(vec2.T, vec2))\n factor= 180/np.pi\n ang = np.arccos(np.dot(vec1.T, vec2)/(norm1*norm2))*factor\n return(ang) \n \ndef find_kaps(E,Gm, kappas1, kappas2, tol_around = 0.1, tol = 0.05):\n \n Er = np.ravel(E)\n cand_ix0, cand_ix1 = np.unravel_index(np.argwhere(Er<tol), E.shape)\n \n real0 = []\n real1 = []\n stab = []\n eigs1 = []\n eigs2 = []\n c0s = []\n c1s = []\n dkap = kappas1[1]-kappas1[0]\n \n idcs_ar = (tol_around//dkap)+1\n \n for ic0, c0 in enumerate(cand_ix0):\n c0 = c0[0]\n c1 = cand_ix1[ic0][0]\n \n low1 = int(np.max((0, -idcs_ar+c0)))\n low2 = int(np.max((0, -idcs_ar+c1)))\n high1 = int(np.min((len(kappas1)-1, idcs_ar+c0)))\n high2 = int(np.min((len(kappas1)-1, idcs_ar+c1)))\n if E[c0,c1]==np.min(E[low1:high1, low2:high2]):\n if (Gm[c0+1,c1,0]*Gm[c0-1, c1,0])<0 and (Gm[c0,c1-1,1]*Gm[c0-1, c1+1,1])<0:\n real0.append(c0)\n real1.append(c1)\n M = np.zeros((2,2))\n M[0,0] = Gm[c0+1,c1,0]-Gm[c0-1,c1,0]\n M[0,1] = Gm[c0,c1+1,0]-Gm[c0,c1-1,0]\n M[1,1] = Gm[c0,c1+1,1]-Gm[c0,c1-1,1]\n M[1,0] = Gm[c0+1,c1,1]-Gm[c0-1,c1,1]\n largst, minst = np.linalg.eigvals(M/(2*dkap))\n eigs1.append(largst)\n eigs2.append(minst)\n c0s.append(c0)\n c1s.append(c1)\n \n \n if np.max(np.real(np.linalg.eigvals(M)))<0:\n stab.append(1)\n else:\n stab.append(0)\n kappa_x = np.array((kappas1[real0], kappas2[real1]))\n return(kappa_x, np.array(stab), np.array(eigs1), np.array(eigs2))#, M, c0s, c1s)\n \n#%%\ndef create_inp_out_rsg(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 3))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n \n r_inp = np.ones((trials, Nt))\n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n\n\n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp_R\n inputt[:,:,2] = s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsgC(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 3))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n \n r_inp = np.ones((trials, Nt))\n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n\n\n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp_R\n inputt[:,:,2] = s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsg1(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 3))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n inc_mask = 20\n \n r_inp = np.ones((trials, Nt))\n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\n s_inp_R[itr, time>R1_on+rnd[itr]+redset] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset-inc_mask)*(time<2*redset+R1_on+1+rnd[itr]+inc_mask)\n\n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp_R\n inputt[:,:,2] = s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsg2(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 3))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n inc_mask = 20\n \n r_inp = np.ones((trials, Nt))\n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset-inc_mask)*(time<2*redset+R1_on+1+rnd[itr]+inc_mask)\n\n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp_R\n inputt[:,:,2] = s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsg3(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 3))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n inc_mask = 30\n \n r_inp = np.ones((trials, Nt))\n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\n\n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp_R\n inputt[:,:,2] = s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsg_2out(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \n perc = 0.1, perc1 = 0.1, noset=False, noready=False, align_set = False, align_go = False, fixGo = True):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 1))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\n \n elif align_set:\n \n if fixGo==True:\n fixT = R1_on + np.max(tss)\n else:\n fixT = fixGo \n \n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT] = 10.\n s_inp_S[itr, time>1+fixT] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n else:\n if fixGo:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n else:\n fixT = fixGo - np.max(tss)\n fixT2 = fixGo\n \n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT2-redset] = 10.\n s_inp_S[itr, time>1+fixT2-redset] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n \n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsg_2out2inp(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \n perc = 0.1, perc1 = 0.1, noset=False, noready=False, align_set = False, align_go = False, fixGo = True):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 2))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\n \n elif align_set:\n \n if fixGo==True:\n fixT = R1_on + np.max(tss)\n else:\n fixT = fixGo \n \n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT] = 10.\n s_inp_S[itr, time>1+fixT] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n else:\n if fixGo:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n else:\n fixT = fixGo - np.max(tss)\n fixT2 = fixGo\n \n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT2-redset] = 10.\n s_inp_S[itr, time>1+fixT2-redset] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n \n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,1] += s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n \n#%%\ndef create_inp_out_rsg_cont(trials, Nt, tss, R1_on, SR1_on, fact = 1, just=-1, \n perc = 0.1, perc1 = 0.1, noset=False, noready=False, align_set = False, align_go = False, fixGo = True, bayes=False):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n if len(tss_comp)>2:\n tss_comp = np.array((tss_comp[0], tss_comp[1]))\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 1))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n time_shown = np.zeros(trials)\n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = np.random.randint(tss_comp[0], tss_comp[1])#tss[ct[itr]]\n if bayes==False:\n redset_real = redset\n else:\n redset_real = redset + np.round(bayes*redset*np.random.randn())\n ct[itr] = redset\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt \n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_real)*(time<redset_real+redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_real+redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_real] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_real] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_real-interval, time<R1_on+rnd[itr]+redset_real)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_real+R1_on+1+rnd[itr]-inc_mask)*(time<redset+redset+R1_on+1+rnd[itr]+inc_mask)\n time_shown[itr] = redset_real\n \n elif align_set:\n \n if fixGo==True:\n fixT = R1_on + np.max(tss)\n else:\n fixT = fixGo \n \n \n for itr in range(trials): \n redset = np.random.randint(tss_comp[0], tss_comp[1])#tss[ct[itr]]\n if bayes==False:\n redset_real = redset\n else:\n redset_real = redset + np.round(bayes*redset*np.random.randn())\n ct[itr] = redset\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_real-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT-redset_real+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT] = 10.\n s_inp_S[itr, time>1+fixT] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n time_shown[itr] = redset_real\n \n else:\n if fixGo:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n else:\n fixT = fixGo - np.max(tss)\n fixT2 = fixGo\n \n \n for itr in range(trials): \n redset = np.random.randint(tss_comp[0], tss_comp[1])#tss[ct[itr]]\n if bayes==False:\n redset_real = redset\n else:\n redset_real = redset + np.round(bayes*redset*np.random.randn())\n ct[itr] = redset\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-redset_real-redset-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT2-redset_real-redset+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT2-redset] = 10.\n s_inp_S[itr, time>1+fixT2-redset] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n time_shown[itr] = redset_real\n \n \n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n return(inputt, outputt, maskt, ct, ct2, ct3, time_shown)\n \n\n#%%\ndef create_inp_out_rSSg(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1, delayF = 0, delay_min = 20, delay_max = 250, noset=False, noready=False, align_set = False, align_go = False):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 1))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S1 = np.zeros((trials, Nt))\n s_inp_S2 = np.zeros((trials, Nt))\n \n \n if delayF==0:\n delayF = np.round(np.mean((delay_min, delay_max)))\n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n delay = np.random.randint(delay_min, delay_max)\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]+delay-interval, time<R1_on+rnd[itr]+delay)\n mask22 = np.logical_and(time>R1_on+rnd[itr]+delay+interval, time<R1_on+rnd[itr]+2*interval+delay)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+delay)\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]+delay\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S1[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S1[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n s_inp_S2[itr, time>R1_on+rnd[itr]+redset_comp+delay] = 10.\n s_inp_S2[itr, time>1+R1_on+rnd[itr]+redset_comp+delay] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval+delay, time<R1_on+rnd[itr]+delay)\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval+delay, time<R1_on+rnd[itr]+redset_comp+delay)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask+delay)\n \n elif align_set:\n fixT = R1_on + np.max(tss)\n\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]-delayF] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]-delayF] = 0.\n \n s_inp_S1[itr, time>fixT-delayF] = 10.\n s_inp_S1[itr, time>1+fixT-delayF] = 0.\n \n \n s_inp_S2[itr, time>fixT] = 10.\n s_inp_S2[itr, time>1+fixT] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n else:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]-delayF] = 10.\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]-delayF] = 0.\n \n s_inp_S1[itr, time>fixT2-redset-delayF] = 10.\n s_inp_S1[itr, time>1+fixT2-redset-delayF] = 0.\n \n s_inp_S2[itr, time>fixT2-redset] = 10.\n s_inp_S2[itr, time>1+fixT2-redset] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n \n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S1\n inputt[:,:,0] += s_inp_S2\n \n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \ndef create_inp_out_rSSg_2in(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1, delayF = 0, \n delay_min = 20, delay_max = 250, noset=False, noready=False, align_set = False, align_go = False):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 2))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S1 = np.zeros((trials, Nt))\n s_inp_S2 = np.zeros((trials, Nt))\n \n \n if delayF==0:\n delayF = np.round(np.mean((delay_min, delay_max)))\n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n delay = np.random.randint(delay_min, delay_max)\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]+delay-interval, time<R1_on+rnd[itr]+delay)\n mask22 = np.logical_and(time>R1_on+rnd[itr]+delay+interval, time<R1_on+rnd[itr]+2*interval+delay)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+delay)\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]+delay\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S1[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S1[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n s_inp_S2[itr, time>R1_on+rnd[itr]+redset_comp+delay] = 10.\n s_inp_S2[itr, time>1+R1_on+rnd[itr]+redset_comp+delay] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval+delay, time<R1_on+rnd[itr]+delay)\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval+delay, time<R1_on+rnd[itr]+redset_comp+delay)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask+delay)\n \n elif align_set:\n fixT = R1_on + np.max(tss)\n\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]-delayF] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]-delayF] = 0.\n \n s_inp_S1[itr, time>fixT-delayF] = 10.\n s_inp_S1[itr, time>1+fixT-delayF] = 0.\n \n \n s_inp_S2[itr, time>fixT] = 10.\n s_inp_S2[itr, time>1+fixT] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n else:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]-delayF] = 10.\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]-delayF] = 0.\n \n s_inp_S1[itr, time>fixT2-redset-delayF] = 10.\n s_inp_S1[itr, time>1+fixT2-redset-delayF] = 0.\n \n s_inp_S2[itr, time>fixT2-redset] = 10.\n s_inp_S2[itr, time>1+fixT2-redset] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S1\n inputt[:,:,1] += s_inp_S2\n \n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n \n \ndef create_inp_out_rsg_justramp(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \n perc = 0.1, perc1 = 0.1, inc_mask = 30, \n noset=False, noready=False, align_set = False, align_go = False):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 1))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+2*redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_comp+2*redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+2+rnd[itr]+inc_mask)\n \n elif align_set:\n fixT = R1_on + np.max(tss)\n\n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT] = 10.\n s_inp_S[itr, time>1+fixT] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n else:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT2-redset] = 10.\n s_inp_S[itr, time>1+fixT2-redset] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, 0, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n \n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n return(inputt, outputt, maskt, ct, ct2, ct3)\n \ndef create_inp_out_rsg_justramp2(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \n perc = 0.1, perc1 = 0.1, inc_mask = 30, FF = 1.25,\n noset=False, noready=False, align_set = False, align_go = False,conti = True):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 1))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n \n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+FF*redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_comp+FF*redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n if conti:\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+FF*redset+R1_on+1+rnd[itr])\n else:\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr])\n \n elif align_set:\n fixT = R1_on + np.max(tss)\n\n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT] = 10.\n s_inp_S[itr, time>1+fixT] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n else:\n fixT = R1_on + np.max(tss)\n fixT2 = R1_on + np.max(tss)*2\n \n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\n\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\n mask_aft = time>=fixT2\n s_inp_R[itr, time>fixT2-FF*redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT2-FF*redset_comp+1-rnd[itr]] = 0.\n \n s_inp_S[itr, time>fixT2-redset] = 10.\n s_inp_S[itr, time>1+fixT2-redset] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, 0, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n \n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n return(inputt, outputt, maskt, ct, ct2, ct3)\n#%%\n#def create_inp_out_rsg_2out(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1):\n# '''\n# trials: Number of trials\n# Nt : Number of time points\n# tss : Intervals between set and go\n# R1_on: Time of ready\n# SR1_on: Standard deviation of the temporal onset of \"Ready\".\n# perc: Percentage of trials in which no transient inputs appear\n# perc1: Percentage of trials in which only the ready cue appears\n# '''\n# \n# n_ts = len(tss)\n# time = np.arange(Nt)\n# \n# tss_comp = np.round(tss/fact)\n# \n# strt = -0.5\n# inputt = np.zeros(( trials, Nt, 1))\n# outputt = strt*np.ones((trials, Nt, 2))\n# maskt = np.zeros((trials, Nt, 2))\n# inc_mask = 30\n# \n# interval = 35\n# \n#\n# s_inp_R = np.zeros((trials, Nt))\n# s_inp_S = np.zeros((trials, Nt))\n# \n# fixT = R1_on + np.max(tss)\n# \n# if just==-1: #all types of trials \n# ct = np.random.randint(n_ts, size = trials)\n# \n# else:\n# ct = just*np.ones(trials, dtype = np.int8)\n# \n# # Don't have nor set nor ready cue in a set of inputs\n# ct2 = np.random.rand(trials)<perc\n# \n# # Don't have a set cue\n# ct3 = np.random.rand(trials)<perc1\n# \n# \n# rnd = np.zeros(trials)\n# if SR1_on>0:\n# rnd = np.random.randint(-SR1_on, SR1_on, trials)\n#\n# for itr in range(trials): \n# redset = tss[ct[itr]]\n# redset_comp = tss_comp[ct[itr]]\n# if ct2[itr]:\n# maskt[itr,:,0] = time<Nt\n# s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n# s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n# \n# \n# #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n# if ct3[itr] and ~ct2[itr]:\n# maskt[itr,:,0] = time<Nt\n# else:\n# maskt[itr,:,0] = (time>1+fixT)*(time<redset+1+fixT)\n# mask_aft = time>=redset+1+fixT\n# s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\n# s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\n# \n# outputt[itr,:,1] = 0.\n# mask11 = np.logical_and(time>fixT-redset_comp-rnd[itr]-interval, time<fixT-redset_comp-rnd[itr]-1)\n# mask22 = np.logical_and(time>fixT-redset_comp-rnd[itr]+interval, time<fixT-1)\n# outputt[itr,mask11,1] = strt\n# outputt[itr,mask22,1] = -strt\n# maskt[itr,:,1] =np.logical_or(mask11, mask22)\n# \n# s_inp_S[itr, time>fixT] = 10. #R1_on+rnd[itr]+redset_comp\n# s_inp_S[itr, time>1+fixT] = 0.\n# \n# if sum(maskt[itr,:,0]):\n# outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n# outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n# \n# maskt[itr,:,0] = (time>fixT-inc_mask)*(time<redset+1+fixT+inc_mask)\n#\n# inputt[:,:,0] = s_inp_R+s_inp_S\n# \n# \n# dtype = torch.FloatTensor \n# inputt = torch.from_numpy(inputt).type(dtype)\n# outputt = torch.from_numpy(outputt).type(dtype)\n# maskt = torch.from_numpy(maskt).type(dtype)\n# \n# return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_rsg4(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 3))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n inc_mask = 30\n \n r_inp = np.ones((trials, Nt))\n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n fixT = R1_on + np.max(tss)\n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n \n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\n if ct3[itr] and ~ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+1+fixT)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\n s_inp_S[itr, time>fixT] = 10. #R1_on+rnd[itr]+redset_comp\n s_inp_S[itr, time>1+fixT] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>fixT-inc_mask)*(time<redset+1+fixT+inc_mask)\n\n inputt[:,:,0] = r_inp\n inputt[:,:,1] = s_inp_R\n inputt[:,:,2] = s_inp_S\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n#%%\ndef create_inp_out_rsg_step(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.0, noready=False):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 1))\n outputt = strt*np.ones((trials, Nt, 2))\n maskt = np.zeros((trials, Nt, 2))\n interval = np.min(tss_comp)//2\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S = np.zeros((trials, Nt))\n \n \n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n # Don't have a set cue\n ct3 = np.random.rand(trials)<perc1\n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n\n if ct3[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\n #s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\n #s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\n s_inp_R[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\n \n \n outputt[itr,:,1] = 0.\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\n outputt[itr,mask11,1] = strt\n outputt[itr,mask22,1] = -strt\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\n \n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\n\n if noready ==False:\n inputt[:,:,0] += s_inp_R\n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, ct3)\n \n#%%\ndef create_inp_out_csgdelay_2in(trials, Nt, tss, amps, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, \n delayF = 0, delay_min = 20, delay_max = 250, noset=False, \n noready=False, align_set = False, align_go = False):\n '''\n trials: Number of trials\n Nt : Number of time points\n tss : Intervals between set and go\n R1_on: Time of ready\n SR1_on: Standard deviation of the temporal onset of \"Ready\".\n perc: Percentage of trials in which no transient inputs appear\n perc1: Percentage of trials in which only the ready cue appears\n '''\n \n n_ts = len(tss)\n time = np.arange(Nt)\n \n tss_comp = np.round(tss/fact)\n \n strt = -0.5\n inputt = np.zeros(( trials, Nt, 2))\n outputt = strt*np.ones((trials, Nt, 1))\n maskt = np.zeros((trials, Nt, 1))\n inc_mask = 30\n \n s_inp_R = np.zeros((trials, Nt))\n s_inp_S1 = np.zeros((trials, Nt))\n s_inp_S2 = np.zeros((trials, Nt))\n \n length = 2*np.mean(tss) # I changed this in July20\n \n delays = np.zeros(trials)\n if delayF==0:\n delayF = np.round(np.mean((delay_min, delay_max)))\n \n if just==-1: #all types of trials \n ct = np.random.randint(n_ts, size = trials)\n \n else:\n ct = just*np.ones(trials, dtype = np.int8)\n \n # Don't have nor set nor ready cue in a set of inputs\n ct2 = np.random.rand(trials)<perc\n \n \n \n rnd = np.zeros(trials)\n if SR1_on>0:\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\n if not align_set and not align_go:\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n amp_c = amps[ct[itr]]\n delay = np.random.randint(delay_min, delay_max)\n delays[itr] = delay\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+length+delay)*(time<redset_comp+length+R1_on+1+rnd[itr]+delay)\n mask_aft = time>=redset_comp+length+R1_on+1+rnd[itr]+delay\n s_inp_R[itr, time>R1_on+rnd[itr]] = amp_c\n s_inp_R[itr, time>1+R1_on+rnd[itr]+length] = 0.\n \n s_inp_S2[itr, time>R1_on+rnd[itr]+length+delay] = 10.\n s_inp_S2[itr, time>1+R1_on+rnd[itr]+length+delay] = 0.\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n maskt[itr,:,0] = (time>length+R1_on+1+rnd[itr]-inc_mask+delay)*(time<length+redset+R1_on+1+rnd[itr]+inc_mask+delay)\n elif align_set:\n fixT = R1_on + np.max(tss)\n for itr in range(trials): \n redset = tss[ct[itr]]\n redset_comp = tss_comp[ct[itr]]\n amp_c = amps[ct[itr]]\n\n if ct2[itr]:\n maskt[itr,:,0] = time<Nt\n else:\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\n mask_aft = time>=redset+1+fixT\n s_inp_R[itr, time>fixT-length-delayF] = amp_c\n s_inp_R[itr, time>1+fixT-delayF] = 0.\n \n \n s_inp_S2[itr, time>fixT] = 10.\n s_inp_S2[itr, time>1+fixT] = 0.\n\n \n if sum(maskt[itr,:,0]):\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\n \n\n \n if noready ==False:\n inputt[:,:,0] += s_inp_R\n if noset==False:\n inputt[:,:,0] += s_inp_S1\n inputt[:,:,1] += s_inp_S2\n \n \n \n dtype = torch.FloatTensor \n inputt = torch.from_numpy(inputt).type(dtype)\n outputt = torch.from_numpy(outputt).type(dtype)\n maskt = torch.from_numpy(maskt).type(dtype)\n \n return(inputt, outputt, maskt, ct, ct2, delays)"},{"alpha_fraction":0.5019564628601074,"alphanum_fraction":0.579774022102356,"avg_line_length":30.17182159423828,"blob_id":"a509398de771374ce8c0c505226a8845cc81fd05","content_id":"44d0875a7eb7cf58c63e421eb9cec38ae9b137e2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":18145,"license_type":"no_license","max_line_length":138,"num_lines":582,"path":"/C_Fig3_EFGH.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 200\nnbins = 20\ns_mn1 = 0.5\ns_mn2 = 1.2\nm1 = np.random.randn(N)\nm1 = m1/np.std(m1)\nm2 = np.random.randn(N)\nm2 = m2/np.std(m2)\nms = np.linspace(-3, 3)\n\nn1 = s_mn1*m1+0.3*np.random.randn(N)\nn2 = s_mn2*m2+0.3*np.random.randn(N)\n\n\n#%%\n# =============================================================================\n# Fig 2\n# =============================================================================\nms = np.linspace(-5,5,100)\nSigma = np.zeros((2,2))\nSigma[0,0] = 1.6\nSigma[1,1] = 1.6\nSigma[0,1] = -0.8\nSigma[1,0] = 0.8\n\n\nN = 1000\nS=10\nM = np.random.randn(N,2)\nM = M/np.std(M,0)\nss2 = 0.3\n\nN = np.dot(Sigma, M.T)+ss2*np.random.randn(2,N)\n\nfig = plt.figure(figsize=[3.2, 3.2], dpi=600)\ngs = GridSpec(5,5)\n\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\n\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\n\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\n\nax_joint00.scatter(M[:,0], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint00.plot(ms, Sigma[0,0]*ms, '--', c='k', lw=1)\nax_joint00.set_xlim([-3,3])\nax_joint00.set_xticks([-2., 0, 2.])\nax_joint00.set_xticklabels(['','',''])\nax_joint00.set_ylim([-5.5,5.5])\nax_joint00.set_yticks([-5, 0, 5])\nax_joint00.set_ylabel(r'$n^{\\left(1\\right)}_i$')\nax_joint00.spines['top'].set_visible(False)\nax_joint00.spines['right'].set_visible(False)\nax_joint00.yaxis.set_ticks_position('left')\nax_joint00.xaxis.set_ticks_position('bottom')\n \nax_joint01.scatter(M[:,1], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint01.plot(ms, Sigma[0,1]*ms*np.std(N[0,:]), '--', c='k', lw=1)\nax_joint01.spines['top'].set_visible(False)\nax_joint01.spines['right'].set_visible(False)\nax_joint01.yaxis.set_ticks_position('left')\nax_joint01.xaxis.set_ticks_position('bottom')\nax_joint01.set_ylim([-5.5,5.5])\nax_joint01.set_yticks([-5, 0, 5])\nax_joint01.set_yticklabels(['','',''])\nax_joint01.set_xlim([-3,3])\nax_joint01.set_xticks([-2., 0, 2.])\nax_joint01.set_xticklabels(['','',''])\n\nax_joint10.scatter(M[:,0], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint10.plot(ms, Sigma[1,0]*ms*np.std(N[1,:]), '--', c='k', lw=1)\nax_joint10.set_xlim([-3,3])\nax_joint10.spines['top'].set_visible(False)\nax_joint10.spines['right'].set_visible(False)\nax_joint10.yaxis.set_ticks_position('left')\nax_joint10.xaxis.set_ticks_position('bottom')\nax_joint10.set_ylim([-5.5,5.5])\nax_joint10.set_yticks([-5, 0, 5])\nax_joint10.set_xlim([-3,3])\nax_joint10.set_xticks([-2., 0, 2.])\nax_joint10.set_ylabel(r'$n^{\\left(2\\right)}_i$')\nax_joint10.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n\nax_joint11.scatter(M[:,1], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint11.plot(ms, Sigma[1,1]*ms, '--', c='k', lw=1)\nax_joint11.set_xlim([-3,3])\nax_joint11.spines['top'].set_visible(False)\nax_joint11.spines['right'].set_visible(False)\nax_joint11.set_ylim([-5.5,5.5])\nax_joint11.set_yticks([-5, 0, 5])\nax_joint11.set_xticks([-2., 0, 2.])\nax_joint11.set_xlim([-3,3])\nax_joint11.set_yticklabels(['','',''])\nax_joint11.yaxis.set_ticks_position('left')\nax_joint11.xaxis.set_ticks_position('bottom')\nax_joint11.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\n\nax_marg_x0.spines['top'].set_visible(False)\nax_marg_x0.spines['right'].set_visible(False)\nax_marg_x0.spines['left'].set_visible(False)\nax_marg_x0.yaxis.set_ticks_position('left')\nax_marg_x0.xaxis.set_ticks_position('bottom')\nax_marg_x0.set_xlim([-3,3])\nax_marg_x0.set_xticks([-2., 0, 2.])\nax_marg_x0.set_ylim([0,0.45])\nax_marg_x0.set_xticklabels(['','',''])\nax_marg_x0.set_yticks([1])\n\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\nax_marg_x1.spines['top'].set_visible(False)\nax_marg_x1.spines['right'].set_visible(False)\nax_marg_x1.spines['left'].set_visible(False)\nax_marg_x1.yaxis.set_ticks_position('left')\nax_marg_x1.xaxis.set_ticks_position('bottom')\nax_marg_x1.set_xlim([-3,3])\nax_marg_x1.set_ylim([0,0.45])\nax_marg_x1.set_xticks([-2., 0, 2.])\nax_marg_x1.set_xticklabels(['','',''])\nax_marg_x1.set_yticks([1])\n\nax_marg_y0.hist(N[0,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(Sigma[0,0]**2+ss2**2)\nax_marg_y0.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y0.spines['top'].set_visible(False)\nax_marg_y0.spines['right'].set_visible(False)\nax_marg_y0.spines['bottom'].set_visible(False)\nax_marg_y0.yaxis.set_ticks_position('left')\nax_marg_y0.xaxis.set_ticks_position('bottom')\nax_marg_y0.set_ylim([-5.5,5.5])\nax_marg_y0.set_xlim([0,0.45])\nax_marg_y0.set_yticks([-5., 0, 5.])\nax_marg_y0.set_yticklabels(['','',''])\nax_marg_y0.set_xticks([1])\nax_marg_y0.set_xticklabels([''])\n\nax_marg_y1.hist(N[1,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(Sigma[1,1]**2+ss2**2)\nax_marg_y1.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y1.spines['top'].set_visible(False)\nax_marg_y1.spines['right'].set_visible(False)\nax_marg_y1.spines['bottom'].set_visible(False)\nax_marg_y1.yaxis.set_ticks_position('left')\nax_marg_y1.xaxis.set_ticks_position('bottom')\nax_marg_y1.set_ylim([-5.5,5.5])\nax_marg_y1.set_xlim([0,0.45])\nax_marg_y1.set_yticks([-5., 0, 5.])\nax_marg_y1.set_yticklabels(['','',''])\nax_marg_y1.set_xticks([1])\nax_marg_y1.set_xticklabels([''])\n\nplt.savefig('Th_Fig3_1_A.pdf')\n\n#%%\nplt.rcParams[\"axes.grid\"] = False\nfig = plt.figure(figsize = [2.0, 2.0])\nax = fig.add_subplot(111) \nplt.imshow(Sigma, cmap='coolwarm', vmin = -4, vmax = 4)\nax.tick_params(color='white')\n\n\nfor i in range(np.shape(Sigma)[0]):\n for j in range(np.shape(Sigma)[1]):\n ax.text(i, j, str(Sigma[j,i]), va='center', ha='center', fontsize=16)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([0, 1])\nax.set_yticks([0, 1])\n\n\nax.set_xticklabels([r'$m_i^{\\left(1\\right)}$', r'$m_i^{\\left(2\\right)}$'], fontsize=14)\nax.set_yticklabels([r'$n_i^{\\left(1\\right)}$', r'$n_i^{\\left(2\\right)}$'], fontsize=14)\n\nplt.savefig('Th_Fig3_1_B.pdf')\n\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nu, v = np.linalg.eig(Sigma)\nl1 = -0.5\nl2 = 2.\nl11 = -1.1\nl22 = 1.1\n\ncC = np.array((1, 1, 1,))*0.3\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\nplt.plot([-0.05, 0.05], [1,1], 'k', lw=0.5)\nplt.plot([-0.05, 0.05], [-1,-1], 'k', lw=0.5)\nplt.plot([1,1], [-0.05, 0.05], 'k', lw=0.5)\n\n\nplt.plot( [0,0],[l11, l22], 'k', lw=0.5)\nplt.plot( [1,1],[l11, l22], 'k', lw=6., alpha=0.1)\n\n#ax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\n# head_width=0.2, head_length=0.2)\n#ax.arrow(0, 0, u[1]*v[0,1], u[1]*v[1,1], fc=cC, ec=cC, alpha =0.8, width=0.06,\n# head_width=0.2, head_length=0.2)\nplt.scatter(np.real(u), np.imag(u), s=90, facecolor=0.6*np.ones(3), edgecolor='k')\n\nplt.plot()\nax.text(1.3, 0.1, r'Re $ \\lambda$', fontsize = 18)\nax.text(0.1, 0.7, r'Im $\\lambda$', fontsize = 18)\n\n\nax.set_xlim([l1, l2])\nax.set_ylim([l11, l22])\n\nax.axis('off')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nplt.savefig('Th_Fig3_1_B1.pdf')\n\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nu, v = np.linalg.eig(Sigma)\nl1 = -1.\nl2 = 1.\nl11 = -1.\nl22 = 1\n\ncC = np.array((1, 1, 1,))*0.3\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\n#plt.plot([-0.05, 0.05], [1,1], 'k', lw=0.5)\n#plt.plot([-0.05, 0.05], [-1,-1], 'k', lw=0.5)\n#plt.plot([1,1], [-0.05, 0.05], 'k', lw=0.5)\n\n\nplt.plot( [0,0],[l11, l22], 'k', lw=0.5)\n#plt.plot( [1,1],[l11, l22], 'k', lw=6., alpha=0.1)\n\n#ax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\n# head_width=0.2, head_length=0.2)\nax.arrow(0, 0, np.real(v[0,0]), np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2)\n#plt.scatter(np.real(u), np.imag(u), s=90, facecolor=0.6*np.ones(3), edgecolor='k')\n\nplt.plot()\nax.text(0.9, 0.05, r'$ \\kappa_1$', fontsize = 18)\nax.text(0.05, 0.9, r'$\\kappa_2$', fontsize = 18)\nax.text(0.1, 0.5, r'Re($\\bf{u}$)', fontsize = 18)\n\n\nax.set_xlim([l1, l2])\nax.set_ylim([l11, l22])\n\nax.axis('off')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nplt.savefig('Th_Fig3_1_B2.pdf')\n\n\n\n\n\n#%%\nkaps1 = np.linspace(-1.3,1.3, 130)\nkaps2 = np.linspace(-1.3,1.3, 100)\nksol = np.zeros((len(kaps1), len(kaps2), 2))\n\nK1s, K2s = np.meshgrid(kaps1, kaps2)\ndef transf(K):\n return(K*Prime(0, np.dot(K.T, K)))\n \nE = np.zeros((len(kaps1), len(kaps2)))\nfor ik1 ,k1 in enumerate(kaps1):\n for ik2, k2 in enumerate(kaps2):\n K = np.array((k1, k2))\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\n \n\n\nsearch_kap1 = np.linspace(0.2, 1.3, 300)\nE_1 = np.zeros_like(search_kap1)\nfor ik1 ,k1 in enumerate(search_kap1):\n K = k1*np.array((1,0))\n kSS = - K+ np.dot(Sigma, transf(K))\n E_1[ik1] = np.sqrt(np.sum(kSS[0]**2))\nfp1 = search_kap1[np.argmin(E_1)]\n\nsearch_kap2 = np.linspace(0.2, 1.3, 300)\nE_2 = np.zeros_like(search_kap1)\nfor ik2 ,k2 in enumerate(search_kap2):\n K = v[:,1]*k2\n kSS = - K+ np.dot(Sigma, transf(K))\n E_2[ik2] = np.sqrt(np.sum(kSS**2))\nfp2 = search_kap2[np.argmin(E_2)]\n\nfig = plt.figure()\nax = fig.add_subplot(111) \nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0)\n\n#cbar = ax.figure.colorbar(im, ax=ax)\n#cbar.set_ticks([-2, -1, 0])\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\n#cbar.set_label(r'$\\log_{10}$ speed', rotation=270, labelpad=18)\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0,], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\n\nth = np.linspace(0, 2*np.pi)\n\n#plt.plot(fp1*np.cos(th), fp1*np.sin(th), '--w', lw=3)\nplt.plot(fp1*np.cos(th), fp1*np.sin(th), '--k')\n\n#ax.arrow(0, 0, np.real(v[0,0]), np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\n#ax.arrow(0, 0, -np.real(v[0,0]), -np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\n\n\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\nplt.savefig('Th_Fig3_1_C1.pdf')\n\n\n\n#%%\n\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0,], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\n\nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0)\n\n#cbar = ax.figure.colorbar(im, ax=ax)\n#cbar.set_ticks([-2, -1, 0])\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\n#cbar.set_label(r'$\\log_{10}$ speed', rotation=270, labelpad=18)\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0,], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n\n\n#plt.plot(fp1*np.cos(th), fp1*np.sin(th), c='w', lw=3)\n#plt.plot(fp1*np.cos(th), fp1*np.sin(th), c='k')\n\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\n\nNn = 1000\nSigmaTot = np.eye(4)\nSigmaTot[2,2] = 4\nSigmaTot[3,3] = 4\n\nSigmaTot[0,2] = Sigma[0,0]\nSigmaTot[0,3] = Sigma[1,0]\nSigmaTot[1,2] = Sigma[0,1]\nSigmaTot[1,3] = Sigma[1,1]\n\nSigmaTot[2,0] = SigmaTot[0,2]\nSigmaTot[3,0] = SigmaTot[0,3]\nSigmaTot[2,1] = SigmaTot[1,2]\nSigmaTot[3,1] = SigmaTot[1,3]\n\nMu= np.zeros((4,1))\n\ninkap1 = np.linspace(-1, 1, 4)\ninkap2 = np.linspace(-1.1, 1.1001, 5)\n\ndt = 0.1\ntime = np.arange(0, 120, dt)\n\nfor trials in range(1):\n try_s0 = 100\n for tr in range(2):\n XX = np.random.multivariate_normal(Mu[:,0], SigmaTot, size=Nn)\n try_s = np.sum((np.dot(XX.T,XX)/1000-SigmaTot)**2)\n if try_s < try_s0:\n #print(try_s)\n try_s0 = try_s\n XX_s = XX\n M = XX_s[:,0:2]\n N = XX_s[:,2:4]\n \n J = np.dot(M, N.T)/Nn\n \n cC = np.ones(3)*0.6#+trials*np.array((0.1, 0, 0))\n \n \n for ik1, ink1 in enumerate(inkap1):\n for ik2, ink2 in enumerate(inkap2):\n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n \n x0 = ink1*M[:,0] + ink2*M[:,1]\n sk1[0] = np.mean(M[:,0]*x0)\n sk2[0] = np.mean(M[:,1]*x0)\n \n for it, ti in enumerate(time[:-1]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\n sk1[it+1] = np.mean(M[:,0]*x)\n sk2[it+1] = np.mean(M[:,1]*x)\n x0 = x\n plt.plot(sk1, sk2, c=cC)\n plt.scatter(sk1[0], sk2[0], s=10, facecolor=cC)\n plt.scatter(sk1[-1], sk2[-1], s=25, facecolor=cC, edgecolor='k', zorder=4)\n \n#ax.arrow(0, 0, np.real(v[0,0]), np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\n#ax.arrow(0, 0, -np.real(v[0,0]), -np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\n\nplt.plot(fp1*np.cos(th), fp1*np.sin(th), '--k')\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\n \n#ax.spines['top'].set_visible(False)\n#ax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig3_1_D.pdf') \n\n#%%\n\nfig = plt.figure()\nax = fig.add_subplot(111) \nplt.plot(time, sk2, '--', c=cC, label=r\"$\\kappa_2$\")\nplt.plot(time, sk1, c=cC, label=r\"$\\kappa_1$\")\nplt.legend(frameon=False, loc =2)\nplt.xlabel('time')\nplt.ylabel('$\\kappa$')\nplt.xlim([0,40])\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig3_1_E.pdf') \n \n#%%\n\ns_w = Sigma[0,1]\nsS = Sigma[0,0]\nsigmas = np.linspace(0, 4, 300)\nfreq_ = np.zeros_like(sigmas)\nfor iS, sI in enumerate(sigmas):\n if sI>1:\n freq_[iS] = np.abs(s_w)/sI\nfig = plt.figure()\nax = fig.add_subplot(111) \nplt.plot(sigmas, freq_ , color=np.ones(3)*0.5, lw=2.)\n\n\ntry_s = np.linspace(1.05, 4, 8)\nfor iS, sI in enumerate(try_s):\n for trials in range(5):\n try_s0 = 100\n SigmaTot = np.eye(4)\n SigmaTot[2,2] = 4\n SigmaTot[3,3] = 4\n \n SigmaTot[0,2] = sI\n SigmaTot[0,3] = Sigma[1,0]\n SigmaTot[1,2] = Sigma[0,1]\n SigmaTot[1,3] = sI\n \n SigmaTot[2,0] = SigmaTot[0,2]\n SigmaTot[3,0] = SigmaTot[0,3]\n SigmaTot[2,1] = SigmaTot[1,2]\n SigmaTot[3,1] = SigmaTot[1,3]\n\n for tr in range(50):\n XX = np.random.multivariate_normal(Mu[:,0], SigmaTot, size=Nn)\n try_s = np.sum((np.dot(XX.T,XX)/1000-SigmaTot)**2)\n if try_s < try_s0:\n #print(try_s)\n try_s0 = try_s\n XX_s = XX\n M = XX_s[:,0:2]\n N = XX_s[:,2:4]\n \n J = np.dot(M, N.T)/Nn\n \n cC = np.ones(3)*0.6#+trials*np.array((0.1, 0, 0))\n \n ink1 = 0.1*np.random.rand()\n ink2 = 0.1*np.random.rand()\n \n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n \n x0 = ink1*M[:,0] + ink2*M[:,1]\n sk1[0] = np.mean(M[:,0]*x0)\n sk2[0] = np.mean(M[:,1]*x0)\n \n for it, ti in enumerate(time[:-100]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\n sk1[it+1] = np.mean(M[:,0]*x)\n sk2[it+1] = np.mean(M[:,1]*x)\n x0 = x\n \n sk1[0] = sk1[it+1]\n sk2[0] = sk2[it+1]\n \n for it, ti in enumerate(time[:-1]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\n sk1[it+1] = np.mean(M[:,0]*x)\n sk2[it+1] = np.mean(M[:,1]*x)\n x0 = x\n \n phase = np.arctan2(sk2, sk1)*180/np.pi\n\n mas = np.diff(phase)<-1\n phaseN = phase[0:-1]\n timeN = time[0:-1]\n \n \n freq = (2*np.pi)/np.mean(np.diff(timeN[mas]))\n plt.scatter(sI, freq, color=0.5*np.ones(3), s=30, edgecolor='k', alpha=0.7, zorder=3)\nplt.scatter(Sigma[1,1], 0.04, marker='^', facecolor= 0.2*np.ones(3), edgecolor='k', s= 60)\n#plt.plot(time, sk1, c=cC, label=r\"$\\kappa_1$\")\nplt.xlabel('$\\sigma_{mn}$')\nplt.ylabel(r'frequency')\n#plt.xlim([0,40])\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig3_1_F.pdf') \n"},{"alpha_fraction":0.394023597240448,"alphanum_fraction":0.43124741315841675,"avg_line_length":36.03303527832031,"blob_id":"11f6a2d2f1e02622215ec1064e7831fd169e8a9b","content_id":"77d3a9942eeb90a5be6f897892f60259631218d8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":29148,"license_type":"no_license","max_line_length":159,"num_lines":787,"path":"/C_Fig7_allpanels.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Thu Apr 9 11:12:47 2020\n\n@author: mbeiran\n\"\"\"\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nimport matplotlib.patches as patches\nfrom scipy.linalg import sqrtm\n#from matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\nverbose = False\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\ndef func(sol, mu=1.):\n s = np.zeros_like(sol)\n s[0] = sol[1]\n s[1] = -sol[0]+mu*(1-sol[0]**2)*sol[1]\n return(s)\n \ndef funcG(sol, Sigma, sMx, sMy, sI, muMx, muMy, muN, muI):\n s = np.zeros_like(sol)\n S = np.shape(Sigma)[2]\n for iS in range(S):\n Mu = muI[iS] + sol[0]*muMx[iS] + sol[1]*muMy[iS]\n Delta = sI[iS] + sMx[iS]*sol[0]**2 + sMy[iS]*sol[1]**2\n \n P = Prime(Mu, Delta)\n P1 = muN[:,iS]*Phi(Mu, Delta) \n \n s += P1 + np.dot(Sigma[:,:,iS], np.array((sol[0],sol[1])))*P\n s[0] = s[0]/S-sol[0]\n s[1] = s[1]/S-sol[1]\n return(s)\n \ndef VP_field( xs, ys, mu=1.):\n X, Y = np.meshgrid(xs,ys)\n U = np.zeros_like(X)\n V = np.zeros_like(X)\n \n for ix, x in enumerate(xs):\n for iy, y in enumerate(ys):\n U[ix, iy] = y\n V[ix, iy] = -x+mu*(1-x**2)*y\n \n E = np.sqrt(U**2+V**2)\n return(X, Y, E, U, V)\n\ndef VP_func( x, y, mu=1.):\n\n U = y\n V = -x+mu*(1-x**2)*y\n \n return( U, V)\n\n\ndef VP_field2( xs, ys, mu=1.):\n X, Y = np.meshgrid(xs,ys)\n U = np.zeros_like(X)\n V = np.zeros_like(X)\n \n for ix, x in enumerate(xs):\n for iy, y in enumerate(ys):\n delta = x**2+y**2\n U[ix, iy] = -x+(2*x-0*y)*Prime(0,delta)\n V[ix, iy] = -y+(0*x+1.2*y)*Prime(0,delta)\n \n E = np.sqrt(U**2+V**2)\n return(X, Y, E, U, V)\n \ndef VP_func2( x, y, mu=1.):\n\n delta = x**2+y**2\n U = -x+(2*x-0*y)*Prime(0,delta)\n V = -y+(0*x+1.2*y)*Prime(0,delta)\n \n return(U, V)\n \n \ndef VP_approx( xs, ys, Sigma, sMx, sMy, sI, muMx, muMy, muN, muI):\n X, Y = np.meshgrid(xs,ys)\n U = np.zeros_like(X)\n V = np.zeros_like(X)\n \n S = np.shape(Sigma)[2]\n for ix, x in enumerate(xs):\n for iy, y in enumerate(ys):\n sol = 0\n for iS in range(S):\n Mu = muI[iS] + x*muMx[iS] + y*muMy[iS]\n Delta = sI[iS] + sMx[iS]*x**2 + sMy[iS]*y**2\n \n P = Prime(Mu, Delta)\n P1 = muN[:,iS]*Phi(Mu, Delta) \n \n sol += P1 + np.dot(Sigma[:,:,iS], np.array((x,y)))*P\n U[ix, iy] = sol[0]/S-x\n V[ix, iy] = sol[1]/S-y\n \n E = np.sqrt(U**2+V**2)\n return(X, Y, E, U, V)\n \ndef VP_approxnum( xs, ys, Mv, Nv, Iv):\n X, Y = np.meshgrid(xs,ys)\n U = np.zeros_like(X)\n V = np.zeros_like(X)\n \n for ix, x in enumerate(xs):\n for iy, y in enumerate(ys):\n U[ix, iy] = -x + np.mean(Nv[:,0]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\n V[ix, iy] = -y + np.mean(Nv[:,1]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\n \n E = np.sqrt(U**2+V**2)\n return(X, Y, E, U, V)\n\ndef VP_funcnum( x, y, Mv, Nv, Iv):\n U = -x + np.mean(Nv[:,0]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\n V = -y + np.mean(Nv[:,1]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\n \n return(U, V)\ndef get_network(Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI, S, NperP):\n \n# =============================================================================\n# Initialize matrices\n# =============================================================================\n N = S*NperP\n rank = 2\n Mv = np.zeros((N, rank))\n Nv = np.zeros((N, rank))\n Iv = np.zeros((N))\n sMxP = np.zeros_like(sMx)\n sMyP = np.zeros_like(sMy)\n sIP = np.zeros_like(sI)\n muMxP = np.zeros_like(muMx)\n muMyP = np.zeros_like(muMy)\n MuNP = np.zeros_like(MuN)\n muIP = np.zeros_like(muI)\n SigmaP = np.zeros_like(Sigma)\n# =============================================================================\n# Go through populations\n# =============================================================================\n for iS in range(S): \n val = -1\n SS = Sigma[:,:,iS]\n rSS = np.zeros((5,5)) #BigSigma\n rSS[0,0] = sMx[iS] #m1^2\n rSS[1,1] = sMy[iS] #m2^2\n \n rSS[0,2] = SS[0,0]\n rSS[2,0] = rSS[0,2]\n rSS[0,3] = SS[1,0]\n rSS[3,0] = rSS[0,3]\n \n rSS[1,2] = SS[0,1]\n rSS[2,1] = rSS[1,2]\n rSS[1,3] = SS[1,1]\n rSS[3,1] = rSS[1,3]\n \n rSS[2,2] = 1.1\n rSS[3,3] = 1.1\n \n rSS[4,4] = sI[iS]\n val = np.min(np.linalg.eigvalsh(rSS))\n \n #Make BigSigma positive definite\n #mVal = np.max(np.abs(SS))\n cnt =0\n vals = []\n diag1 = []\n diag2 = []\n while val<1e-7:\n if cnt<200:\n rSS[2,2] = 1.2*rSS[2,2]\n rSS[3,3] = 1.2*rSS[3,3]\n else:\n rSS[2,2] = 1.02*rSS[2,2]\n rSS[3,3] = 1.02*rSS[3,3]\n val = np.min(np.linalg.eigvalsh(rSS))\n diag1.append(rSS[2,2])\n diag2.append(rSS[3,3])\n \n vals.append(val)\n cnt +=1\n \n Mean = np.array((muMx[iS], muMy[iS],MuN[0,iS], MuN[1,iS], muI[iS] ))\n \n error = 1e8\n counter =0\n \n #Take minimal finite-size out of 500 trials\n while error>0.1 and counter<500:\n counter+=1\n Sol = np.random.multivariate_normal(Mean, rSS, NperP) \n MeanP = np.mean(Sol,0)\n rSSP = np.cov(Sol.T)\n rSS_corr = np.zeros_like(rSS)\n rSS_corr[:,:] = rSS\n rSS_corr[np.abs(rSS_corr)<1e-10] = 1e-10\n sol = (rSSP-rSS_corr)/rSS_corr\n sol[np.abs(sol)>1e8] = 0.\n sol[2,2] = 0.\n sol[3,3] = 0.\n error2 = np.std(sol)+np.std(Mean-MeanP)\n if error2<error:\n error=error2\n Solsav = Sol\n\n Sol = Solsav\n Corr = np.cov(Sol.T)\n \n sMxP[iS] = Corr[0,0]\n sMyP[iS] = Corr[1,1]\n SigmaP[0,0,iS] = Corr[0,2]\n SigmaP[0,1,iS] = Corr[0,3]\n SigmaP[1,0,iS] = Corr[1,2]\n SigmaP[1,1,iS] = Corr[1,3]\n \n Mv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,0]\n Mv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,1]\n Nv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,2]\n Nv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,3]\n Iv[iS*NperP:(iS+1)*NperP] = Sol[:,4]\n #Iv[iS*NperP:(iS+1)*NperP] += muI[iS]-np.mean(Iv[iS*NperP:(iS+1)*NperP])\n \n #Quantify errors\n sIP[iS] = np.var(Iv[iS*NperP:(iS+1)*NperP]-muI[iS])\n muIP[iS] = np.mean(Iv[iS*NperP:(iS+1)*NperP])\n MuNP[0,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 0])\n MuNP[1,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 1])\n muMyP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 1])\n muMxP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 0])\n \n return(Mv, Nv, Iv, sMxP, sMyP, sIP, muMxP, muMyP, MuNP, muIP, SigmaP)\n\ndef get_network2(Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI, S, NperP):\n \n# =============================================================================\n# Initialize matrices\n# =============================================================================\n N = S*NperP\n rank = 2\n Mv = np.zeros((N, rank))\n Nv = np.zeros((N, rank))\n Iv = np.zeros((N))\n sMxP = np.zeros_like(sMx)\n sMyP = np.zeros_like(sMy)\n sIP = np.zeros_like(sI)\n muMxP = np.zeros_like(muMx)\n muMyP = np.zeros_like(muMy)\n MuNP = np.zeros_like(MuN)\n muIP = np.zeros_like(muI)\n SigmaP = np.zeros_like(Sigma)\n# =============================================================================\n# Go through populations\n# =============================================================================\n error = 1e8\n counter =0\n Mean = np.array((0., 0.,0., 0., 0.))\n rSS = np.eye(5)\n #Take minimal finite-size out of 500 trials\n while error>1e-5 and counter<5000:\n counter+=1\n Sol = np.random.multivariate_normal(Mean, rSS, NperP) \n MeanP = np.mean(Sol,0)\n rSSP = np.cov(Sol.T)\n error2 = np.std(rSSP-rSS)+np.std(MeanP)\n if error2<error:\n error=error2\n Solsav = Sol\n if verbose ==True:\n print(error)\n\n Sol = Solsav\n for iS in range(S): \n val = -1\n SS = Sigma[:,:,iS]\n rSS = np.zeros((5,5)) #BigSigma\n rSS[0,0] = sMx[iS] #m1^2\n rSS[1,1] = sMy[iS] #m2^2\n \n rSS[0,2] = SS[0,0]\n rSS[2,0] = rSS[0,2]\n rSS[0,3] = SS[1,0]\n rSS[3,0] = rSS[0,3]\n \n rSS[1,2] = SS[0,1]\n rSS[2,1] = rSS[1,2]\n rSS[1,3] = SS[1,1]\n rSS[3,1] = rSS[1,3]\n \n rSS[2,2] = 1.1\n rSS[3,3] = 1.1\n \n rSS[4,4] = sI[iS]\n val = np.min(np.linalg.eigvalsh(rSS))\n \n #Make BigSigma positive definite\n #mVal = np.max(np.abs(SS))\n cnt =0\n vals = []\n diag1 = []\n diag2 = []\n while val<1e-7:\n if cnt<200:\n rSS[2,2] = 1.2*rSS[2,2]\n rSS[3,3] = 1.2*rSS[3,3]\n else:\n rSS[2,2] = 1.02*rSS[2,2]\n rSS[3,3] = 1.02*rSS[3,3]\n val = np.min(np.linalg.eigvalsh(rSS))\n diag1.append(rSS[2,2])\n diag2.append(rSS[3,3])\n \n vals.append(val)\n cnt +=1\n \n Mean = np.array((muMx[iS], muMy[iS],MuN[0,iS], MuN[1,iS], muI[iS] ))\n \n error = 1e8\n counter =0\n \n# #Take minimal finite-size out of 500 trials\n# while error>0.1 and counter<500:\n# counter+=1\n# Sol = np.random.multivariate_normal(Mean, rSS, NperP) \n# MeanP = np.mean(Sol,0)\n# rSSP = np.cov(Sol.T)\n# rSS_corr = np.zeros_like(rSS)\n# rSS_corr[:,:] = rSS\n# rSS_corr[np.abs(rSS_corr)<1e-10] = 1e-10\n# sol = (rSSP-rSS_corr)/rSS_corr\n# sol[np.abs(sol)>1e8] = 0.\n# sol[2,2] = 0.\n# sol[3,3] = 0.\n# error2 = np.std(sol)+np.std(Mean-MeanP)\n# if error2<error:\n# error=error2\n# Solsav = Sol\n\n Sol = Mean[:,None] + np.dot(sqrtm(rSS), Solsav.T)\n Sol = Sol.T\n Corr = np.cov(Sol.T)\n \n sMxP[iS] = Corr[0,0]\n sMyP[iS] = Corr[1,1]\n SigmaP[0,0,iS] = Corr[0,2]\n SigmaP[0,1,iS] = Corr[0,3]\n SigmaP[1,0,iS] = Corr[1,2]\n SigmaP[1,1,iS] = Corr[1,3]\n \n Mv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,0]\n Mv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,1]\n Nv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,2]\n Nv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,3]\n Iv[iS*NperP:(iS+1)*NperP] = Sol[:,4]\n #Iv[iS*NperP:(iS+1)*NperP] += muI[iS]-np.mean(Iv[iS*NperP:(iS+1)*NperP])\n \n #Quantify errors\n sIP[iS] = np.var(Iv[iS*NperP:(iS+1)*NperP]-muI[iS])\n muIP[iS] = np.mean(Iv[iS*NperP:(iS+1)*NperP])\n MuNP[0,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 0])\n MuNP[1,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 1])\n muMyP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 1])\n muMxP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 0])\n \n return(Mv, Nv, Iv, sMxP, sMyP, sIP, muMxP, muMyP, MuNP, muIP, SigmaP)\n \ndef algorithm(dat_point, sigma, muMx, muMy, sMx, sMy, muI, sI):\n S = len(muMx) #number of populations\n K = 2 #rank\n p = np.shape(dat_point)[0] #number of points\n \n Phi0 = np.zeros((K*(K+1)*S, p*K))\n F0 = np.zeros((p*K, 1))\n\n for ip in range(p):\n k = dat_point[ip, :]\n k1 = dat_point[ip,0]\n k2 = dat_point[ip,1]\n SS = VP_func(k1,k2)\n F0[ip*K] = S*(SS[0] + k1)\n F0[ip*K+1] = S*(SS[1] + k2)\n \n for iS in range(S):\n Mu = muI[iS] + k[0]*muMx[iS] + k[1]*muMy[iS]\n Delta = sI[iS] + sMx[iS]*k[0]**2 + sMy[iS]*k[1]**2\n i0 = iS*K*(K+1)\n \n Phi0[i0: i0+K, ip*K] = k*Prime(Mu, Delta)\n Phi0[i0+K: i0+2*K, ip*K+1] = k*Prime(Mu, Delta)\n Phi0[i0+2*K: i0+2*K+1, ip*K] = Phi(Mu, Delta)\n Phi0[i0+2*K+1: i0+2*K+2, ip*K+1] = Phi(Mu, Delta)\n \n sol = np.dot(F0.T, Phi0.T)\n C= np.dot(Phi0, Phi0.T)+np.eye(K*(K+1)*S)*sigma**2\n \n sigmaU = np.dot(sol, np.linalg.pinv(C))\n sigmaU = sigmaU[0,:]\n \n Sigma = np.zeros((K, K, S))\n MuN = np.zeros((K, S)) \n for iS in range(S):\n Sigma[0,0,iS] = sigmaU[iS*K*(K+1)]\n Sigma[0,1,iS] = sigmaU[iS*K*(K+1)+1] #sigma_m2n1\n Sigma[1,0,iS] = sigmaU[iS*K*(K+1)+2] #sigma_m1n2\n Sigma[1,1,iS] = sigmaU[iS*K*(K+1)+3]\n MuN[0, iS] = sigmaU[iS*K*(K+1)+4]\n MuN[1, iS] = sigmaU[iS*K*(K+1)+5]\n E = np.mean(np.abs((np.dot(sigmaU, Phi0) - F0.T)))#/F0.T))\n reconst = np.dot(sigmaU, Phi0)\n return(Sigma, MuN, E, sigmaU,reconst, F0)\n\n #%%\ndt = 0.02\ntime = np.arange(0, 40, dt)\nsolT = np.zeros((len(time),2))\n\nsol0 = np.array((1.,1.))\nsolT[0,:] = sol0\n\nfor it, ti in enumerate(time[:-1]):\n solT[it+1,:] = solT[it,:]+dt*(func(solT[it,:]))\n \n#%%\nx = np.linspace(-4,4, 100)\ny = np.linspace(-4,4, 100)\nfig = plt.figure()\nax = fig.add_subplot(111)\nX, Y, E, U, V = VP_field(x,y, mu=1.)\n\nplt.plot( solT[1200:,0], solT[1200:,1], 'k', lw=1)\nplt.pcolor(x, y, np.log10(E).T, vmin = -2, vmax = 2., shading='auto')\nplt.colorbar()\nplt.streamplot(x, y, U.T, V.T, color='w')\nplt.xlim([np.min(x), np.max(x)])\nplt.ylim([np.min(y), np.max(y)])\nplt.xlabel(r'$x$')\nplt.ylabel(r'$y$')\n\nrect = patches.Rectangle((-3,3),6,-6,linewidth=1,edgecolor='r',facecolor='none', zorder=5)\nax.add_patch(rect)\n\nplt.savefig('Fig7_1n_VanderPol.pdf')\nplt.show()\n\n#%%\ndo_reg = False\ndo_fs_noreg = True\n#%%\nxp = np.linspace(-3, 3.01, 30)\nyp = np.linspace(-3, 3.01, 30)\n\nXp, Yp, Ep, Up, Vp = VP_field2(xp,yp, mu=1.)\ndat_point = np.vstack((np.ravel(Xp), np.ravel(Yp))).T\n\nf0 = np.vstack((np.ravel(Up), np.ravel(Vp))).T\nf0 += dat_point #Calculated without the leak\np = len(xp)*len(yp)\n\n\n#%%\nK = 2\npops = np.array((1, 2, 3, 4, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50))#np.round(np.linspace(1, 50,10)).astype(int)#np.round(np.linspace(1, 50, 20)).astype(int)\ntrials = 50;#20#20#20\n\nsigmas = [1e-8, 0.5]#[1e-8, 0.5]#[1e-8]\n\nEss = np.zeros((len(sigmas), trials, len(pops)))\nEss_r = np.zeros((len(sigmas), trials, len(pops)))\nEss_fs = np.zeros((len(sigmas), trials, len(pops)))\nEss_r_fs = np.zeros((len(sigmas), trials, len(pops)))\n\n\nL2n = np.zeros((len(sigmas), trials, len(pops)))\nMea = np.zeros((len(sigmas), trials, len(pops)))\nVar = np.zeros((len(sigmas), trials, len(pops)))\nMax = np.zeros((len(sigmas), trials, len(pops)))\n\nplott =False\n\nfor isi, sigma in enumerate(sigmas):\n for ipop, S in enumerate(pops):\n if verbose==True:\n print(' ')\n print('New pop')\n print('-.-')\n Sigma = np.zeros((K, K, S, trials))\n MuN = np.zeros((K, S, trials))\n for iti in range(trials):\n if np.min([np.abs(S-15), np.abs(S-35)])==0 and sigma>1e-3:\n if S==15:\n ITI = 11\n else:\n ITI = 15\n if iti==ITI:\n if verbose == True:\n print('pop: '+str(S)+' _Trial: '+str(iti))\n \n try:\n fl=np.load('DataFig7/paramMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\n Sigma = fl['name1']\n sMx = fl['name2']\n sMy = fl['name3']\n sI = fl['name4']\n muMx = fl['name5']\n muMy = fl['name6']\n MuN = fl['name7']\n muI = fl['name8']\n E = fl['name9']\n sigmaU = fl['name10']\n F0 = fl['name11']\n reconst = fl['name12']\n \n \n except:\n print('no paramMF')\n print('DataFig7/paramMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\n sI = np.random.exponential(1, S) \n sMx = np.random.exponential(1, S)\n if S>1:\n sMx = sMx/np.std(sMx)\n else:\n sMx[0] = 1.\n \n muMx = 4*np.random.rand(S)\n muMx = muMx-np.mean(muMx)\n \n muMy = 0*4*np.random.rand(S)\n muMy = muMy-np.mean(muMy)\n \n muI = 4*np.random.rand(S)\n muI = muI-np.mean(muI)\n \n sMy = np.random.exponential(1, S)\n if S>1:\n sMy = sMy/np.std(sMy)\n else:\n sMy[0] = 1.\n \n plott=False\n Sigma, MuN, E, sigmaU, reconst, F0 = algorithm(dat_point, sigma, muMx, muMy, sMx, sMy, muI, sI)\n import os\n if os.path.isdir('DataFig7/')==False:\n os.mkdir('DataFig7/')\n np.savez('DataFig7/paramMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti),name1=Sigma, name2=sMx, name3=sMy, name4=sI, \n name5=muMx, name6=muMy, name7=MuN, name8=muI, name9=E, name10=sigmaU, name11=F0, name12=reconst)\n\n if sigma>0.01:\n sol = np.zeros((len(time),2))\n \n sol0 = np.array((1.,1.))\n sol[0,:] = sol0\n \n for it, ti in enumerate(time[:-1]):\n sol[it+1,:] = sol[it,:]+dt*funcG(sol[it,:], Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI)\n fig = plt.figure()\n ax = fig.add_subplot(211)\n plt.plot(time, sol[:,0], lw=2)\n plt.plot(time, solT[:,0], '--k')\n \n ax.set_ylabel(r'$\\kappa_1(t)$')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom') \n ax.set_yticks([-2, 0, 2])\n ax = fig.add_subplot(212)\n plt.plot(time, sol[:,1], lw=2)\n plt.plot(time, solT[:,1], '--k')\n \n ax.set_xlabel('time')\n ax.set_ylabel(r'$\\kappa_2(t)$')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom')\n ax.set_yticks([-2, 0, 2]) \n plt.savefig('Fig7_2_vanderPol_xy_MF_sig_'+str(sigma)+'_pop_'+str(S)+'_trial_'+str(iti)+'.pdf')\n plt.show()\n \n \n x = np.linspace(-5,5, 30)\n y = np.linspace(-5,5, 30) \n try:\n fl = np.load('DataFig7/dynMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\n Sigma = fl['name1']\n sMx = fl['name2']\n sMy = fl['name3']\n sI = fl['name4']\n muMx = fl['name5']\n muMy = fl['name6']\n MuN = fl['name7']\n muI = fl['name8']\n Xa = fl['name9']\n Ya = fl['name10']\n Ea = fl['name11']\n Ua = fl['name12']\n Va = fl['name13']\n except:\n print('no dynMF')\n print('DataFig7/dynMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\n Xa, Ya, Ea, Ua, Va = VP_approx(x,y, Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI)\n np.savez('DataFig7/dynMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti), \n name1=Sigma, name2=sMx, name3=sMy, name4=sI, name5=muMx, name6=muMy, \n name7=MuN, name8=muI, name9=Xa, name10=Ya, name11=Ea, name12=Ua, name13=Va)\n \n \n plt.figure()\n plt.plot( sol[:,0], sol[:,1], lw=2)\n plt.plot( solT[:,0], solT[:,1], '--k', lw=1)\n plt.pcolor(x, y, np.log10(Ea.T), vmin = -2, vmax = 2., shading='auto')\n #plt.colorbar()\n plt.streamplot(x, y, Ua.T, Va.T, color='w')\n plt.xlim([np.min(x), np.max(x)])\n plt.ylim([np.min(y), np.max(y)])\n plt.xlabel(r'$\\kappa_1$')\n plt.ylabel(r'$\\kappa_2$')\n plt.xticks([-4, -2, 0, 2, 4]) \n if sigma<0.1:\n plt.savefig('Fig7_1n_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\n plt.savefig('Fig7_1n_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\n else:\n plt.savefig('Fig7_1Reg_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\n plt.savefig('Fig7_1Reg_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\n plt.show()\n \n\n\n NperP = 2000\n\n try:\n fl = np.load('DataFig7/dynamicsfinsiz_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\n Mv = fl['name1']\n Nv = fl['name2']\n Xr = fl['name3']\n Yr = fl['name4']\n Er = fl['name5']\n Ur = fl['name6']\n Vr = fl['name7']\n Iv = fl['name8']\n #hello = fl['name9']\n except:\n print('calculating vectors')\n print('DataFig7/dynamicsfinsiz_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\n Mv, Nv, Iv, sMxP, sMyP, sIP, muMxP, muMyP, MuNP, muIP, SigmaP = get_network(Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI, S, NperP) \n Xr, Yr, Er, Ur, Vr = VP_approxnum(x,y, Mv, Nv, Iv) \n np.savez('dynamicsfinsiz_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti), name1=Mv, \n name2=Nv, name3=Xr, name4=Yr, name5=Er, name6=Ur, name7=Vr, name8=Iv)\n \n \n \n sol = np.zeros((len(time),2))\n sol[0,:] = sol0\n \n for it, ti in enumerate(time[:-1]):\n sol[it+1,:] = sol[it,:]+dt*np.array((VP_funcnum( sol[it,0], sol[it,1], Mv, Nv, Iv)))\n \n fig = plt.figure()\n ax = fig.add_subplot(211)\n plt.plot(time, sol[:,0], lw=2)\n plt.plot(time, solT[:,0], '--k')\n \n ax.set_ylabel(r'$\\kappa_1(t)$')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom') \n ax.set_yticks([-2, 0, 2])\n ax = fig.add_subplot(212)\n plt.plot(time, sol[:,1], lw=2)\n plt.plot(time, solT[:,1], '--k')\n \n ax.set_xlabel('time')\n ax.set_ylabel(r'$\\kappa_2(t)$')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.yaxis.set_ticks_position('left')\n ax.xaxis.set_ticks_position('bottom')\n ax.set_yticks([-2, 0, 2]) \n plt.savefig('Fig7_2_vanderPol_xy_FS_sig_'+str(sigma)+'_pop_'+str(S)+'_trial_'+str(iti)+'.pdf')\n plt.show()\n \n #%\n plt.figure()\n plt.plot( sol[:,0], sol[:,1], lw=2)\n plt.plot( solT[:,0], solT[:,1], '--k', lw=1)\n plt.pcolor(x, y, np.log10(Er.T), vmin = -2, vmax = 2., shading='auto')\n #plt.colorbar()\n plt.streamplot(x, y, Ur.T, Vr.T, color='w')\n plt.xlim([np.min(x), np.max(x)])\n plt.ylim([np.min(y), np.max(y)])\n plt.xticks([-4, -2, 0, 2, 4]) \n plt.xlabel(r'$\\kappa_1$')\n plt.ylabel(r'$\\kappa_2$')\n if sigma<0.1:\n plt.savefig('Fig7_1n_Gauss_approx_FS_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\n plt.savefig('Fig7_1n_Gauss_approx_FS_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\n else:\n plt.savefig('Fig7_1n_Gauss_approx_FSreg_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\n plt.savefig('Fig7_1n_Gauss_approx_FSreg_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\n plt.show()\n\n\n\n\n#%%\nfl = np.load('DataFig7/simulations.npz')\nEss=fl['name1']\nEss_fs = fl['name2']\nVar = fl['name3']\n#%%\nEss2 = np.mean(Ess, 1)/pops\nsEss2 = np.std(Ess, 1)/(pops*np.sqrt(trials))#/np.sqrt(trials)\n\nfig = plt.figure()\nax = fig.add_subplot(111)\nplt.fill_between(pops, Ess2[0]-sEss2[0], Ess2[0]+sEss2[0], alpha=0.4, color='k')\nplt.plot(pops, Ess2[0], lw=2, c =[0.2,0.2,0.2], label=r'$\\beta=10^{-8}$')\nplt.fill_between(pops, Ess2[1]-sEss2[1], Ess2[1]+sEss2[1], alpha=0.5)\nplt.plot(pops, Ess2[1], lw=2, label=r'$\\beta=0.5$')\nplt.ylabel('error (mean field)')\nplt.xlabel(r'populations $P$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom')\nplt.yscale('log')\nplt.legend(frameon=False)\nplt.savefig('Fig7_1n_Gauss_approx_pops_0.pdf')\nplt.show()\n\n\n#%%\nEss2 = np.mean(Ess_fs, 1)/pops\nsEss2 = np.std(Ess_fs, 1)/(pops*np.sqrt(trials))\n\nfig = plt.figure()\nax = fig.add_subplot(111)\nplt.fill_between(pops, Ess2[0]-sEss2[0], Ess2[0]+sEss2[0], alpha=0.4, color='k')\nplt.plot(pops, Ess2[0], lw=2, c =[0.2,0.2,0.2],label=r'$\\beta=10^{-8}$')\nplt.fill_between(pops, Ess2[1]-sEss2[1], Ess2[1]+sEss2[1], alpha=0.5)\nplt.plot(pops, Ess2[1], lw=2, label=r'$\\beta=0.5$')\nplt.yscale('log')\nplt.ylabel('error (finite size)')\nplt.xlabel(r'populations $P$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom')\nplt.legend(frameon=False)\nplt.ylim([1., 100])\nplt.savefig('Fig7_1n_Gauss_approx_pops_2.pdf')\n\n#%%\nEss2 = np.mean(Var, 1)\nsEss2 = np.std(Var, 1)/np.sqrt(trials)\n\nfig = plt.figure()\nax = fig.add_subplot(111)\nplt.fill_between(pops, Ess2[0]-sEss2[0], Ess2[0]+sEss2[0], alpha=0.4, color='k')\nplt.plot(pops, Ess2[0], lw=2, c =[0.2,0.2,0.2],label=r'$\\beta=10^{-8}$')\nplt.fill_between(pops, Ess2[1]-sEss2[1], Ess2[1]+sEss2[1], alpha=0.5)\nplt.plot(pops, Ess2[1], lw=2, label=r'$\\beta=0.5$')\nplt.yscale('log')\nplt.ylabel(r'variance $X$')\nplt.xlabel(r'populations $P$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom')\nplt.legend(frameon=False)\nplt.savefig('Fig7_1n_Gauss_approx_pops_3.pdf')\n\n\n\n"},{"alpha_fraction":0.4661540389060974,"alphanum_fraction":0.5436587333679199,"avg_line_length":36.49216079711914,"blob_id":"b7cc4c110e5883e8815c4572fa743b82c3481b45","content_id":"6d7e87c7bd751562e1d72822ae1fdf9e22818bb1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":31082,"license_type":"no_license","max_line_length":149,"num_lines":829,"path":"/C_Fig6_GHI.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\nnp.random.seed(20)\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 400\nnbins = 20\nval = 0.1\nolap = 10\na_m1 = np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1))\n#np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\na_m2 = np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1))\n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\na_m3 = np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \n# *np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\n\na_n1 = olap/np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1)) \n#*np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\na_n2 = olap/np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1)) \n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\na_n3 = olap/np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \n#*np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\n\ndef give_vecs(val=0.1, olap=1.5, N = 400):\n pops = 8\n a_m1 = np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1))\n #np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\n a_m2 = np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1))\n #*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\n a_m3 = np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \n # *np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\n \n a_n1 = olap/np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1)) \n #*np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\n a_n2 = olap/np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1)) \n #*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\n a_n3 = olap/np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \n #*np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\n m1 = np.random.randn(N)\n n1 = np.random.randn(N)\n \n m2 = np.random.randn(N)\n n2 = np.random.randn(N)\n \n m3 = np.random.randn(N)\n n3 = np.random.randn(N)\n \n sels = 1000\n err0 = 50\n \n pops = len(a_m1)\n for t in range(sels):\n V = np.random.randn(N//pops, 50)\n CC = np.dot(V, V.T)\n for po in range(pops):\n CC[po,po] = 0.\n \n err = np.std(CC)\n if err<err0:\n err0 = err\n \n ix = 0\n \n for po in range(pops):\n m1[po*(N//pops):(po+1)*(N//pops)] = a_m1[po]+val*V[:, ix] \n ix += 1\n n1[po*(N//pops):(po+1)*(N//pops)] = a_n1[po]+val*V[:, ix]#+s_mn1[po]*V[:, ix]/val\n ix += 1 \n m2[po*(N//pops):(po+1)*(N//pops)] = a_m2[po]+val*V[:, ix]\n ix += 1\n n2[po*(N//pops):(po+1)*(N//pops)] = a_n2[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\n ix += 1\n m3[po*(N//pops):(po+1)*(N//pops)] = a_m3[po]+val*V[:, ix]\n ix += 1\n n3[po*(N//pops):(po+1)*(N//pops)] = a_n3[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\n ix += 1\n return(m1, m2, m3, n1, n2, n3)\npops = 8 \nm1, m2, m3, n1, n2, n3 = give_vecs(olap=olap)\n#%%\n# =============================================================================\n# Fig 2\n# =============================================================================\nms = np.linspace(-10.5,10.5,3000)\n\n\nN = 1000\nS=10\nM = np.vstack((m1, m2, m3)).T\nss2 = 0.3\n\nNNN = np.vstack((n1, n2, n3))\n\nfig = plt.figure(figsize=[4.2, 4.2])#, dpi=600\ngs = GridSpec(7,7)\n\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\nax_joint02 = fig.add_subplot(gs[1:3,4:6])\n\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\nax_joint12 = fig.add_subplot(gs[3:5,4:6])\n\nax_joint20 = fig.add_subplot(gs[5:7,0:2])\nax_joint21 = fig.add_subplot(gs[5:7,2:4])\nax_joint22 = fig.add_subplot(gs[5:7,4:6])\n\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\nax_marg_x2 = fig.add_subplot(gs[0,4:6])\n\nax_marg_y0 = fig.add_subplot(gs[1:3,6])\nax_marg_y1 = fig.add_subplot(gs[3:5,6])\nax_marg_y2 = fig.add_subplot(gs[5:7,6])\n\nyl = 12.5\nylt = 10.\nxl = 2.5\nxlt = 2.\nax_joint00.scatter(M[:,0], NNN[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\n\nfor ip in range(pops):\n ax_joint00.scatter(a_m1[ip], a_n1[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint00.set_xlim([-xl, xl])\nax_joint00.set_xticks([-xlt, 0, xlt])\nax_joint00.set_xticklabels(['','',''])\nax_joint00.set_ylim([-yl,yl])\nax_joint00.set_yticks([-ylt, 0, ylt])\nax_joint00.set_ylabel(r'$n^{\\left(1\\right)}_i$')\nax_joint00.spines['top'].set_visible(False)\nax_joint00.spines['right'].set_visible(False)\nax_joint00.yaxis.set_ticks_position('left')\nax_joint00.xaxis.set_ticks_position('bottom')\n\n \nax_joint01.scatter(M[:,1], NNN[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint01.scatter(a_m2[ip], a_n1[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint01.spines['top'].set_visible(False)\nax_joint01.spines['right'].set_visible(False)\nax_joint01.yaxis.set_ticks_position('left')\nax_joint01.xaxis.set_ticks_position('bottom')\nax_joint01.set_ylim([-yl,yl])\nax_joint01.set_yticks([-ylt, 0, ylt])\nax_joint01.set_yticklabels(['','',''])\nax_joint01.set_xlim([-xl, xl])\nax_joint01.set_xticks([-xlt, 0, xlt])\nax_joint01.set_xticklabels(['','',''])\n\nax_joint02.scatter(M[:,2], NNN[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint02.scatter(a_m3[ip], a_n1[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint02.spines['top'].set_visible(False)\nax_joint02.spines['right'].set_visible(False)\nax_joint02.yaxis.set_ticks_position('left')\nax_joint02.xaxis.set_ticks_position('bottom')\nax_joint02.set_ylim([-yl,yl])\nax_joint02.set_yticks([-ylt, 0, ylt])\nax_joint02.set_yticklabels(['','',''])\nax_joint02.set_xlim([-xl, xl])\nax_joint02.set_xticks([-xlt, 0, xlt])\nax_joint02.set_xticklabels(['','',''])\n\n\nax_joint10.scatter(M[:,0], NNN[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint10.scatter(a_m1[ip], a_n2[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint10.set_xlim([-3,3])\nax_joint10.spines['top'].set_visible(False)\nax_joint10.spines['right'].set_visible(False)\nax_joint10.yaxis.set_ticks_position('left')\nax_joint10.xaxis.set_ticks_position('bottom')\nax_joint10.set_ylim([-yl,yl])\nax_joint10.set_yticks([-ylt, 0, ylt])\nax_joint10.set_xlim([-xl, xl])\nax_joint10.set_xticks([-xlt, 0, xlt])\nax_joint10.set_xticklabels(['','',''])\nax_joint10.set_ylabel(r'$n^{\\left(2\\right)}_i$')\n#ax_joint10.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n\nax_joint11.scatter(M[:,1], NNN[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint11.scatter(a_m2[ip], a_n2[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint11.spines['top'].set_visible(False)\nax_joint11.spines['right'].set_visible(False)\nax_joint11.set_ylim([-yl, yl])\nax_joint11.set_yticks([-ylt, 0, ylt])\nax_joint11.set_xlim([-xl, xl])\nax_joint11.set_xticks([-xlt, 0, xlt])\nax_joint11.set_xticklabels(['','',''])\nax_joint11.set_yticklabels(['','',''])\nax_joint11.yaxis.set_ticks_position('left')\nax_joint11.xaxis.set_ticks_position('bottom')\n#ax_joint11.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n\nax_joint12.scatter(M[:,2], NNN[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint12.scatter(a_m3[ip], a_n2[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint12.set_xlim([-3,3])\nax_joint12.spines['top'].set_visible(False)\nax_joint12.spines['right'].set_visible(False)\nax_joint12.set_ylim([-yl, yl])\nax_joint12.set_yticks([-ylt, 0, ylt])\nax_joint12.set_xlim([-xl, xl])\nax_joint12.set_xticks([-xlt, 0, xlt])\nax_joint12.set_xticklabels(['','',''])\nax_joint12.set_yticklabels(['','',''])\nax_joint12.yaxis.set_ticks_position('left')\nax_joint12.xaxis.set_ticks_position('bottom')\n#ax_joint12.set_xlabel(r'$m^{\\left(3\\right)}_i$')\n\nax_joint20.scatter(M[:,0], NNN[2,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint20.scatter(a_m1[ip], a_n3[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint20.set_xlim([-3,3])\nax_joint20.spines['top'].set_visible(False)\nax_joint20.spines['right'].set_visible(False)\nax_joint20.yaxis.set_ticks_position('left')\nax_joint20.xaxis.set_ticks_position('bottom')\nax_joint20.set_ylim([-yl,yl])\nax_joint20.set_yticks([-ylt, 0, ylt])\nax_joint20.set_xlim([-xl, xl])\nax_joint20.set_xticks([-xlt, 0, xlt])\nax_joint20.set_ylabel(r'$n^{\\left(3\\right)}_i$')\nax_joint20.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n\nax_joint21.scatter(M[:,1], NNN[2,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint21.scatter(a_m2[ip], a_n3[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint21.set_xlim([-3,3])\nax_joint21.spines['top'].set_visible(False)\nax_joint21.spines['right'].set_visible(False)\nax_joint21.set_ylim([-yl, yl])\nax_joint21.set_yticks([-ylt, 0, ylt])\nax_joint21.set_xlim([-xl, xl])\nax_joint21.set_xticks([-xlt, 0, xlt])\nax_joint21.set_yticklabels(['','',''])\nax_joint21.yaxis.set_ticks_position('left')\nax_joint21.xaxis.set_ticks_position('bottom')\nax_joint21.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n\nax_joint22.scatter(M[:,2], NNN[2,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nfor ip in range(pops):\n ax_joint22.scatter(a_m3[ip], a_n3[ip], s=0.5*S, edgecolor='k', facecolor='w')\nax_joint22.set_xlim([-3,3])\nax_joint22.spines['top'].set_visible(False)\nax_joint22.spines['right'].set_visible(False)\nax_joint22.set_ylim([-yl, yl])\nax_joint22.set_yticks([-ylt, 0, ylt])\nax_joint22.set_xlim([-xl, xl])\nax_joint22.set_xticks([-xlt, 0, xlt])\nax_joint22.set_yticklabels(['','',''])\nax_joint22.yaxis.set_ticks_position('left')\nax_joint22.xaxis.set_ticks_position('bottom')\nax_joint22.set_xlabel(r'$m^{\\left(3\\right)}_i$')\n\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\nss = val\n#ax_marg_x0.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\nsol_n = np.zeros_like(ms)\nfor ip in range(pops):\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_m1[ip])**2/(2*ss**2))\nax_marg_x0.plot( ms, sol_n,'k', lw=0.5)\nax_marg_x0.spines['top'].set_visible(False)\nax_marg_x0.spines['right'].set_visible(False)\nax_marg_x0.spines['left'].set_visible(False)\nax_marg_x0.yaxis.set_ticks_position('left')\nax_marg_x0.xaxis.set_ticks_position('bottom')\nax_marg_x0.set_xlim([-3,3])\nax_marg_x0.set_xticks([-2., 0, 2.])\nax_marg_x0.set_ylim([0,1.4])\nax_marg_x0.set_xticklabels(['','',''])\nax_marg_x0.set_yticks([2])\n\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\nsol_n = np.zeros_like(ms)\nfor ip in range(pops):\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_m2[ip])**2/(2*ss**2))\nax_marg_x1.plot( ms, sol_n,'k', lw=0.5)\n#ax_marg_x1.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\nax_marg_x1.spines['top'].set_visible(False)\nax_marg_x1.spines['right'].set_visible(False)\nax_marg_x1.spines['left'].set_visible(False)\nax_marg_x1.yaxis.set_ticks_position('left')\nax_marg_x1.xaxis.set_ticks_position('bottom')\nax_marg_x1.set_xlim([-3,3])\nax_marg_x1.set_ylim([0,1.4])\nax_marg_x1.set_xticks([-2., 0, 2.])\nax_marg_x1.set_xticklabels(['','',''])\nax_marg_x1.set_yticks([2])\n\nax_marg_x2.hist(M[:,2], nbins, alpha=0.5, density=True)\nsol_n = np.zeros_like(ms)\nfor ip in range(pops):\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_m3[ip])**2/(2*ss**2))\nax_marg_x2.plot( ms, sol_n,'k', lw=0.5)\n#ax_marg_x2.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\nax_marg_x2.spines['top'].set_visible(False)\nax_marg_x2.spines['right'].set_visible(False)\nax_marg_x2.spines['left'].set_visible(False)\nax_marg_x2.yaxis.set_ticks_position('left')\nax_marg_x2.xaxis.set_ticks_position('bottom')\nax_marg_x2.set_xlim([-3,3])\nax_marg_x2.set_ylim([0,1.4])\nax_marg_x2.set_xticks([-2., 0, 2.])\nax_marg_x2.set_xticklabels(['','',''])\nax_marg_x2.set_yticks([2])\n\nax_marg_y0.hist(NNN[0,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss= val\nMu = olap*(1/np.sqrt(1-val**2))\nsol_n = np.zeros_like(ms)\nfor ip in range(pops):\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_n1[ip])**2/(2*ss**2))\nax_marg_y0.plot(sol_n, ms, 'k', lw=0.5)\nax_marg_y0.spines['top'].set_visible(False)\nax_marg_y0.spines['right'].set_visible(False)\nax_marg_y0.spines['bottom'].set_visible(False)\nax_marg_y0.yaxis.set_ticks_position('left')\nax_marg_y0.xaxis.set_ticks_position('bottom')\nax_marg_y0.set_ylim([-yl,yl])\nax_marg_y0.set_xlim([0,1.5])\nax_marg_y0.set_yticks([-ylt, 0, ylt])\nax_marg_y0.set_yticklabels(['','',''])\nax_marg_y0.set_xticks([2])\nax_marg_y0.set_xticklabels([''])\n\nax_marg_y1.hist(NNN[1,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nsol_n = np.zeros_like(ms)\nfor ip in range(pops):\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_n2[ip])**2/(2*ss**2))\nax_marg_y1.plot(sol_n, ms, 'k', lw=0.5)\n#ax_marg_y1.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\nax_marg_y1.spines['top'].set_visible(False)\nax_marg_y1.spines['right'].set_visible(False)\nax_marg_y1.spines['bottom'].set_visible(False)\nax_marg_y1.yaxis.set_ticks_position('left')\nax_marg_y1.xaxis.set_ticks_position('bottom')\nax_marg_y1.set_ylim([-yl,yl])\nax_marg_y1.set_xlim([0,1.5])\nax_marg_y1.set_yticks([-ylt, 0, ylt])\nax_marg_y1.set_yticklabels(['','',''])\nax_marg_y1.set_xticks([2])\nax_marg_y1.set_xticklabels([''])\n\nax_marg_y2.hist(NNN[2,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\n#ax_marg_y2.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\nsol_n = np.zeros_like(ms)\nfor ip in range(pops):\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_n3[ip])**2/(2*ss**2))\nax_marg_y2.plot(sol_n, ms, 'k', lw=0.5)\nax_marg_y2.spines['top'].set_visible(False)\nax_marg_y2.spines['right'].set_visible(False)\nax_marg_y2.spines['bottom'].set_visible(False)\nax_marg_y2.yaxis.set_ticks_position('left')\nax_marg_y2.xaxis.set_ticks_position('bottom')\nax_marg_y2.set_ylim([-yl,yl])\nax_marg_y2.set_xlim([0,1.5])\nax_marg_y2.set_yticks([-ylt, 0, ylt])\nax_marg_y2.set_yticklabels(['','',''])\nax_marg_y2.set_xticks([2])\nax_marg_y2.set_xticklabels([''])\nplt.savefig('Th_Fig6B_1_A_bgoverlap.pdf')\n\n\n\n#%%\n#kaps1 = np.linspace(-2.5,2.5, 50)\n#kaps2 = np.linspace(-2.5,2.5, 40)\n#kaps3 = np.linspace(-2.5,2.5, 40)\n#\n#ksol = np.zeros((len(kaps1), len(kaps2), len(kaps3), 3))\n#\n#K1s, K2s, K3s = np.meshgrid(kaps1, kaps2,kaps3)\n#def transf(K):\n# return(K*Prime(0, np.dot(K.T, K)))\n# \n#E = np.zeros((len(kaps1), len(kaps2), len(kaps3)))\n\na_m1 = np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1))\n#np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\na_m2 = np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1))\n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\na_m3 = np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \n# *np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\n\na_n1 = olap/np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1)) \n#*np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\na_n2 = olap/np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1)) \n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\na_n3 = olap/np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \nfps = np.zeros((3, 100))\nallfps = np.zeros((3,100))\neigvals = np.zeros((3,100))\n\niX = 0\n\ndef give_f(K, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val):\n ksol = - K\n for ip in range(pops):\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n norm = np.sqrt(np.sum(ksol**2))\n return(ksol, norm)\npops = 8\n \nfor tr in range(200):\n #print(tr)\n k1 = 4*np.random.rand()-2\n k2 = 4*np.random.rand()-2\n k3 = 4*np.random.rand()-2\n norm = 10\n K = np.array((k1, k2, k3))\n while norm > 0.001:\n ksol = - K\n for ip in range(pops):\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n norm = np.sqrt(np.sum(ksol**2))\n K = K+0.1*ksol\n cand1 = K\n norm = 10\n K = K + 0.1*np.random.randn(3)\n while norm > 0.001:\n ksol = - K\n for ip in range(pops):\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n norm = np.sqrt(np.sum(ksol**2))\n K = K+0.1*ksol\n cand = K\n \n if np.sum((cand-cand1)**2)<0.02:\n cand = 0.5*(cand+cand1)\n if np.min(np.sum((fps.T-cand)**2,1))>0.01:\n fps[:,iX]= cand\n iX +=1\n fps[:,iX]= -cand\n iX +=1\n Jac = np.zeros((3,3))\n per = 0.005\n for ipp in range(3):\n pert = np.zeros(3)\n pert[ipp] = per\n nex, ccc = give_f(K+pert, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val) \n fir, ccc = give_f(K-pert, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val) \n \n Jac[ipp,:] = (nex-fir)/(2*per)\n eigvals[:,iX-2] = np.linalg.eigvals(Jac)\n eigvals[:,iX-1] = eigvals[:,iX-2]\n \nfps = fps[:,0:iX]\n\neigvals = eigvals[:,0:iX]\n\nRs = np.sqrt(np.sum(fps**2,0))\nprint(Rs)\n\n\n\nappart = Rs>np.mean(Rs)\nfp1s = fps[:,appart]\nfp2s = fps[:,~appart]\neigvals1 = eigvals[:,appart]\neigvals2 = eigvals[:,~appart]\n\niX = 0\nallfps = np.zeros((3,100))\nfor tr in range(100):\n #print(tr)\n k1 = 4*np.random.rand()-2\n k2 = 4*np.random.rand()-2\n k3 = 4*np.random.rand()-2\n norm = 10\n max_iter = 150\n ite = 0\n dx = 0.1\n K = np.array((k1, k2, k3))\n \n while norm>0.001 and ite<max_iter:\n \n Kold = K\n ksol, norm = give_f(K, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n \n\n K1 = K+dx*np.array((1,0,0))\n ksol1, norm1 = give_f(K1, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n K1m = K+dx*np.array((-1,0,0))\n ksol1m, norm1m = give_f(K1m, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n K2 = K+dx*np.array((0,1,0))\n ksol2, norm2 = give_f(K2, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n K2m = K+dx*np.array((0,-1,0))\n ksol2m, norm2m = give_f(K2m, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n K3 = K+dx*np.array((0,0,1))\n ksol3, norm3 = give_f(K3, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n K3m = K+dx*np.array((0,0,-1))\n ksol3m, norm3m = give_f(K3m, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\n \n norms = np.array((norm1, norm1m, norm2, norm2m, norm3, norm3m))\n if np.min(norms)<norm: \n if norm1==np.min(norms):\n K = K1\n norm = norm1\n elif norm2 == np.min(norms):\n K = K2\n norm = norm2 \n elif norm3 == np.min(norms):\n K = K3\n norm = norm3\n elif norm1m == np.min(norms):\n K = K1m\n norm = norm1m\n elif norm2m == np.min(norms):\n K = K2m\n norm = norm2m\n elif norm3m == np.min(norms):\n K = K3m\n norm = norm3m\n else:\n if dx>0.0001:\n dx = dx*0.5\n ite +=1\n \n if norm<0.001: \n if np.min(np.sum((allfps.T-K)**2,1))>0.03:\n if np.min(np.sum((fps.T-K)**2,1))>0.03: \n allfps[:,iX]= K\n iX +=1\n allfps[:,iX]= -K\n iX +=1\nallfps = allfps[:,0:iX] \n\n#%%\nfrom mpl_toolkits.mplot3d import Axes3D\nimport mpl_toolkits.mplot3d as a3\nimport matplotlib.colors as colors\nimport scipy as sp\nfig = plt.figure()\nax = fig.add_subplot(111, projection='3d', azim=-59, elev=10)\n\nverts = fp1s.T\n#\n\ntop = 3\nbottom = 2\nno = 0\nne = 4\nso = 5\nse = 1\nfaces = np.array([ \n [no, top, ne], [so, top, se], [no, so, top], [ne, se, top], \n [no, bottom, ne], [so, bottom, se], [no,so, bottom], [ne,se,bottom]\n ])\n\n\n \n\nfne = 1\nfse = 3\nfno = 7\nfso = 4\nbne = 5\nbse = 6\nbno = 2\nbso = 0\nverts2 = fp2s.T\nfaces2 = np.array([ \n [fne, fno, fso,fse], [bne, bse, bso, bno], [fne, fno, bno, bne], [fse, fso, bso, bse], \n [fne, fse, bse, bne], [fno, fso, bso, bno]\n ])\n\nfor i in np.arange(len(faces)):\n square=[ verts[faces[i,0]], verts[faces[i,1]], verts[faces[i, 2]]]\n face = a3.art3d.Poly3DCollection([square], alpha=0.5)\n face.set_color(colors.rgb2hex(0.6*np.array((1., 0., 0.))+0.4*np.random.rand(3)))\n face.set_edgecolor('k')\n face.set_linewidth(1.)\n face.set_alpha(0.5)\n ax.add_collection3d(face)\nfor i in np.arange(len(faces2)):\n square2=[ verts2[faces2[i,0]], verts2[faces2[i,1]], verts2[faces2[i, 2]], verts2[faces2[i, 3]]]\n face = a3.art3d.Poly3DCollection([square2], alpha=0.5)\n face.set_color(colors.rgb2hex(0.6*np.array((0., 0., 1.))+0.4*np.random.rand(3)))\n face.set_edgecolor('k')\n face.set_linewidth(1.)\n face.set_alpha(0.5)\n ax.add_collection3d(face)\n#ax.scatter(fp2s[0,iXX], fp2s[1,iXX], fp2s[2,iXX], s=100, c='w', edgecolor='k')\nif np.sum(allfps**2)>0:\n ax.scatter(allfps[0,:], allfps[1,:], allfps[2,:], s=10, c='w', edgecolor='k')\nif np.std(Rs)>0.01:\n\n for ip in range(np.shape(fp1s)[1]):\n ax.scatter(fp1s[0,ip], fp1s[1,ip], fp1s[2,ip], s=30, c='C0', edgecolor='k')\n #plt.plot([0,fp1s[0,ip]], [0,fp1s[1,ip]], [0,fp1s[2,ip]], c='C0')\n for ip2 in range(np.shape(fp1s)[1]):\n dist = np.sqrt(np.sum((fp1s[:,ip]-fp1s[:,ip2])**2))\n #if dist<10.:\n # plt.plot([fp1s[0,ip], fp1s[0,ip2]], [fp1s[1,ip], fp1s[1,ip2]], [fp1s[2,ip], fp1s[2,ip2]], c='C0')\n # \n ##%%\n #fig = plt.figure()\n #ax = fig.add_subplot(111, projection='3d') \n for ip in range(np.shape(fp2s)[1]):\n ax.scatter(fp2s[0,ip], fp2s[1,ip], fp2s[2,ip], s=30, c='C1', edgecolor='k')\n #plt.plot([0,fp2s[0,ip]], [0,fp2s[1,ip]], [0,fp2s[2,ip]], c='C1')\n for ip2 in range(np.shape(fp2s)[1]):\n dist = np.sqrt(np.sum((fp2s[:,ip]-fp2s[:,ip2])**2))\n# if dist<10.:\n# plt.plot([fp2s[0,ip], fp2s[0,ip2]], [fp2s[1,ip], fp2s[1,ip2]], [fp2s[2,ip], fp2s[2,ip2]], c='C1')\nelse:\n for ip in range(np.shape(fps)[1]):\n if np.sum(fps[:,ip]**2)>0.2:\n ax.scatter(fps[0,ip], fps[1,ip], fps[2,ip], s=30, c='k')\n #plt.plot([0,fp1s[0,ip]], [0,fp1s[1,ip]], [0,fp1s[2,ip]], c='C0')\n for ip2 in range(np.shape(fps)[1]):\n dist = np.sqrt(np.sum((fps[:,ip]-fps[:,ip2])**2))\n \n #if dist<1.:\n # plt.plot([fps[0,ip], fps[0,ip2]], [fps[1,ip], fps[1,ip2]], [fps[2,ip], fps[2,ip2]], c='C0')\nax.set_xlabel(r'$\\kappa_1$')\nax.set_ylabel(r'$\\kappa_2$')\nax.set_zlabel(r'$\\kappa_3$')\nax.dist=11\n#ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\n#ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\n#ax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\nax.set_xticks([-5, 5])\nax.set_yticks([-5, 5])\nax.set_zticks([-5, 5])\n#\n\nplt.savefig('Th_Fig6B_1_B.pdf')\n#ip = 2\n##ax.scatter(fp2s[0,ip], fp2s[1,ip], fp2s[2,ip], s=150, c='k')\n#print(eigvals2[:,ip])\n\n#%%\nK = fps[:,0]\nksol = - K\nsteps = 100\nfor st in range(steps):\n ksol = -K\n for ip in range(pops):\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\n norm = np.sqrt(np.sum(ksol**2))\n #print(norm)\n K = K+0.05*ksol\n#%%\n\nfig = plt.figure()\nax = fig.add_subplot(111, projection='3d', azim=-59, elev=10) \n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nax.set_zlabel('$\\kappa_3$')\n\n#plt.scatter([ 0, fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2), -fp2/np.sqrt(2)], \\\n# [0, fp2/np.sqrt(2), -fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2)], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n#plt.scatter([ 0, 0, fp1, -fp1], [fp11, -fp11, 0, 0], s=70, edgecolor='w', facecolor='k', linewidth=1., zorder=5)\n\nNn = 1200\n\ninkap1 = np.linspace(-10.2, 10.2, 4)\ninkap3 = np.linspace(-10.2, 10.2, 4)\ninkap2 = np.linspace(-10.2, 10.2, 4)\n\n\ndt = 0.15\ntime = np.arange(0, 34, dt)\n\nfor i in np.arange(len(faces)):\n square=[ verts[faces[i,0]], verts[faces[i,1]], verts[faces[i, 2]]]\n face = a3.art3d.Poly3DCollection([square], alpha=0.2)\n face.set_color(colors.rgb2hex(0.6*np.array((1., 0., 0.))+0.4*np.random.rand(3)))\n face.set_edgecolor('k')\n face.set_linewidth(1.)\n face.set_alpha(0.5)\n ax.add_collection3d(face)\n\nfor i in np.arange(len(faces2)):\n square2=[ verts2[faces2[i,0]], verts2[faces2[i,1]], verts2[faces2[i, 2]], verts2[faces2[i, 3]]]\n face = a3.art3d.Poly3DCollection([square2], alpha=0.25)\n face.set_color(colors.rgb2hex(0.6*np.array((0., 0., 1.))+0.4*np.random.rand(3)))\n face.set_edgecolor('k')\n face.set_linewidth(1.)\n face.set_alpha(0.5)\n ax.add_collection3d(face)\n \n\nfor trials in range(1):\n m1, m2, m3, n1, n2, n3 = give_vecs(N = Nn, olap=olap, val=val) \n\n M = np.vstack((m1, m2, m3)).T\n N = np.vstack((n1, n2, n3))\n\n J = np.dot(M, N)/Nn\n \n cC = np.ones(3)*0.6\n \n fps = np.zeros((3,len(inkap1)*len(inkap2)*len(inkap3)))\n iX = 0\n for ik1, ink1 in enumerate(inkap1):\n #print(ik1)\n for ik2, ink2 in enumerate(inkap2):\n for ik3, ink3 in enumerate(inkap3):\n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n sk3 = np.zeros_like(time)\n \n \n x0 = ink1*M[:,0] + ink2*M[:,1] +ink3*M[:,2]\n sk1[0] = np.mean(M[:,0]*x0)\n sk2[0] = np.mean(M[:,1]*x0)\n sk3[0] = np.mean(M[:,2]*x0)\n \n for it, ti in enumerate(time[:-1]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))+np.sqrt(dt)*0.1*np.random.randn(len(x0))\n sk1[it+1] = np.mean(M[:,0]*x)/np.mean(M[:,0]**2)\n sk2[it+1] = np.mean(M[:,1]*x)/np.mean(M[:,1]**2)\n sk3[it+1] = np.mean(M[:,2]*x)/np.mean(M[:,2]**2)\n \n x0 = x\n ax.plot(sk1, sk2,sk3, c=cC)\n ax.scatter(sk1[0], sk2[0], sk3[0], s=10, facecolor=cC)\n ax.scatter(sk1[-1], sk2[-1], sk3[-1], s=25, facecolor=cC, edgecolor='k', zorder=3)\n cand = np.array((sk1[-1], sk2[-1], sk3[-1]))\n if np.min(np.mean((fps.T-cand)**2,1))>0.1:\n fps[:,iX] = cand\n iX+=1\n fps = fps[:,0:iX+1]\n \nfor ip in range(np.shape(fps)[1]):\n #ax.scatter(fps[0,ip], fps[1,ip], fps[2,ip], s=30, c='k')\n #plt.plot([0,fp1s[0,ip]], [0,fp1s[1,ip]], [0,fp1s[2,ip]], c='C0')\n for ip2 in range(np.shape(fps)[1]):\n dist = np.sqrt(np.sum((fps[:,ip]-fps[:,ip2])**2))\n #if dist<10.:\n # plt.plot([fps[0,ip], fps[0,ip2]], [fps[1,ip], fps[1,ip2]], [fps[2,ip], fps[2,ip2]], c='k', lw=0.5)\nax.set_xticks([-5, 0, 5])\nax.set_zticks([-5, 0, 5])\nax.set_yticks([-5, 0, 5])\n\n#ax.set_ylim([-8, 8])\n#ax.set_xlim([-8, 8])\n#ax.set_zlim([-8, 8]) \nax.dist=11\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\n#ax.yaxis.set_ticks_position('left')\n#ax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig6B_1_D.pdf') \n\n##%%\n#m1, m2, m3, n1, n2, n3 = give_vecs(N = Nn, olap=4., val=0.) \n#\n#M = np.vstack((m1, m2, m3)).T\n#N = np.vstack((n1, n2, n3))\n#\n#J = np.dot(M, N)/Nn\n#Av, Vv = np.linalg.eig(J)\n#\n#plt.scatter(np.real(Av), np.imag(Av))\n\n#%%\nAm = np.array((a_m1, a_m2, a_m3))\nAn = np.array((a_n1, a_n2, a_n3))\nRn = np.sum(An**2,0)\n\n#%%\n#fig = plt.figure()\nfrom mpl_toolkits.mplot3d import Axes3D\n#ax = fig.add_subplot(111, projection='3d') \n#ax.scatter(fps[0,:], fps[1,:F], fps[2,:])\n#%%\nm1, m2, m3, n1, n2, n3 = give_vecs(N = Nn, olap=olap, val=val) \nPops = 8\nfig = plt.figure()\nax = fig.add_subplot(111, projection='3d', azim=-83, elev = 31)\nax.scatter(n1, n2, n3, c='r', rasterized=True, alpha=0.5) \n\nfor ip in range(Pops):\n for ip2 in range(Pops):\n dist = np.sqrt(np.sum((An[:,ip]-An[:,ip2])**2))\n if dist<28.:\n ax.plot([An[0,ip], An[0,ip2]], [An[1,ip], An[1,ip2]],[An[2,ip], An[2,ip2]],c='k')\nax.scatter(An[0,0:Pops], An[1,0:Pops], An[2,0:Pops], s=40, edgecolor='g', facecolor='k', zorder=4)\n \nax.set_xlabel(r'$n_i^{(1)}$')\nax.set_ylabel(r'$n_i^{(2)}$')\nax.set_zlabel(r'$n_i^{(3)}$')\nax.dist=11\n#ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\n#ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\n#sax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\nax.set_xticks([-8, 8])\nax.set_yticks([-8, 8])\nax.set_zticks([-8, 8])\n\nplt.savefig('Th_Fig6B_1_C.pdf')\n\n"},{"alpha_fraction":0.4953177273273468,"alphanum_fraction":0.5782608985900879,"avg_line_length":29.82474136352539,"blob_id":"88bb7f94febfbf8ec43454da7e072a0bb170225b","content_id":"186a18b1a33474387b760c2d512e597c576ca2e1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11960,"license_type":"no_license","max_line_length":163,"num_lines":388,"path":"/C_Fig4.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\nnp.random.seed(2)\ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 400\nnbins = 20\n#s_mn1 = 0.5\ns_mnI = np.array((-10., 4.5))\ns_m2 = np.array((1.98, 0.02))\ns_mn = s_mnI/s_m2\n\ncolor1 = np.array((31, 127, 17))/256\ncolor2 = np.array((129, 34, 141))/256\nclrs = np.zeros((3,2))\nclrs[:,0] = color1\nclrs[:,1] = color2\n\nm1 = np.random.randn(N)\nm1[0:N//2] = np.sqrt(s_m2[0])*m1[0:N//2]/np.std(m1[0:N//2])\nm1[N//2:] = np.sqrt(s_m2[1])*m1[N//2:]/np.std(m1[N//2:])\nn1 = np.zeros_like(m1)\nms = np.linspace(-80.5, 80.5, 4200)\n\nn1[0:N//2] = s_mn[0]*m1[0:N//2] +3*np.random.randn(N//2)\nn1[N//2:] = s_mn[1]*m1[N//2:] +3*np.random.randn(N//2)\n\nfig = plt.figure(figsize=[3.6, 3.6])\ngs = GridSpec(4,4)\n\nax_joint = fig.add_subplot(gs[1:4,0:3])\nax_marg_x = fig.add_subplot(gs[0,0:3])\nax_marg_y = fig.add_subplot(gs[1:4,3])\n\n#ax_joint.scatter(m2, n2, s=20, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$')\nax_joint.scatter(m1[0:N//2], n1[0:N//2], s=20, alpha=0.5, label=r'$\\sigma_{mn} =$'+str(s_mn[0]), color =color1)\nax_joint.scatter(m1[N//2:], n1[N//2:], s=20, alpha=0.5, label=r'$\\sigma_{mn} =$'+str(s_mn[1]), color =color2)\n\nax_joint.plot(ms, s_mn[0]*ms, '--', color ='k', lw=1)\nax_joint.plot(ms, s_mn[1]*ms, '--', color ='k', lw=1)\n\n#ax_joint.legend(locolor =6,frameon=False, handletextpad=-0.1)\nax_joint.spines['top'].set_visible(False)\nax_joint.spines['right'].set_visible(False)\nax_joint.yaxis.set_ticks_position('left')\nax_joint.xaxis.set_ticks_position('bottom')\n\nyl = 70.9\nax_joint.set_ylim([-yl, yl])\nax_joint.set_xlim([-4, 4])\n\nax_joint.set_xlabel(r'$m_i$')\nax_joint.set_ylabel(r'$n_i$')\n\nax_marg_x.hist(m1[0:N//2], nbins, alpha=0.5, density=True, color=color1)\nax_marg_x.hist(m1[N//2:], nbins, alpha=0.5, density=True, color=color2)\n\n#ax_marg_x.hist(m2, nbins, alpha=0.5, density=True)\n\nax_marg_x.spines['top'].set_visible(False)\nax_marg_x.spines['right'].set_visible(False)\nax_marg_x.yaxis.set_ticks_position('left')\nax_marg_x.xaxis.set_ticks_position('bottom')\n\na1 = np.exp(-ms**2/(2*s_m2[0]))/np.sqrt(2*np.pi*s_m2[0])\na2 = np.exp(-ms**2/(2*s_m2[1]))/np.sqrt(2*np.pi*s_m2[1])\n\n#ax_marg_x.plot(ms, 0.5*(a1+a2), lw=2, color ='k')\nax_marg_x.plot(ms, a1, lw=2, color =color1)\nax_marg_x.plot(ms, a2, lw=2, color =color2)\nax_marg_x.set_xlim([-4, 4])\n\nax_marg_y.hist(n1[0:N//2], nbins, orientation=\"horizontal\", alpha=0.5, density=True, color=color1)\nax_marg_y.hist(n1[N//2:], nbins, orientation=\"horizontal\", alpha=0.5, density=True, color=color2)\n\nss = s_mn[0]**2*np.var(m1[0:N//2])+3**2 #np.sqrt(s_m2[0])*m1[0:N//2]/np.std(m1[0:N//2])\na1 = np.exp(-ms**2/(2*ss))/np.sqrt(2*np.pi*ss)\n\nss = s_mn[1]**2*np.var(m1[N//2:])+3**2\na2 = np.exp(-ms**2/(2*ss))/np.sqrt(2*np.pi*ss)\n#ax_marg_y.plot( 0.5*np.exp(-ms**2/(2*s_mn[0]**2))/np.sqrt(2*np.pi*s_mn[0]**2)+ 0.5*np.exp(-ms**2/(2*s_mn[1]**2))/np.sqrt(2*np.pi*s_mn[1]**2),ms, lw=2, color ='k')\nax_marg_y.plot( a1,ms, lw=2, color =color1)\nax_marg_y.plot( a2,ms, lw=2, color =color2)\n\n\nax_marg_y.spines['top'].set_visible(False)\nax_marg_y.spines['right'].set_visible(False)\nax_marg_y.yaxis.set_ticks_position('left')\nax_marg_y.xaxis.set_ticks_position('bottom')\nax_marg_y.set_ylim([-yl, yl])\n\nax_marg_y.set_xticklabels(['0', '0.5'])\n\n## Turn off tick labels on marginals\nplt.setp(ax_marg_x.get_xticklabels(), visible=False)\nplt.setp(ax_marg_y.get_yticklabels(), visible=False)\n\n## Set labels on marginals\nax_marg_y.set_xlabel(r'$P(n_i)$')\nax_marg_x.set_ylabel(r'$P(m_i)$')\n\nplt.savefig('Th_Fig5_A.pdf')\nplt.show()\n\n#%%\ns_mnI = np.array((-10., 4.5))\ns_m2 = np.array((1.98, 0.02))\ns_mn = s_mnI/s_m2\n\n\nkappas = np.linspace(-10, 10, 500)\nFk1 = np.zeros_like(kappas)\nFk2 = np.zeros_like(kappas)\nFk1MC = np.zeros_like(kappas)\nFk2MC = np.zeros_like(kappas)\nNN = 100000\nfor ik, ka in enumerate(kappas):\n Fk1[ik]= s_mnI[0]*ka*Prime(0, s_m2[0]*ka**2) \n Fk2[ik]= s_mnI[1]*ka*Prime(0, s_m2[1]*ka**2)\n \n m1 = np.random.randn(NN)\n m1[0:NN//2] = np.sqrt(s_m2[0])*m1[0:NN//2]/np.std(m1[0:NN//2])\n m1[NN//2:] = np.sqrt(s_m2[1])*m1[NN//2:]/np.std(m1[NN//2:])\n n1 = np.zeros_like(m1)\n ms = np.linspace(-80.5, 80.5, 1200)\n \n n1[0:NN//2] = s_mn[0]*m1[0:NN//2] +0.3*np.random.randn(NN//2)\n n1[NN//2:] = s_mn[1]*m1[NN//2:] +0.3*np.random.randn(NN//2)\n Fk1MC[ik] = np.mean(n1[0:NN//2]*np.tanh(m1[0:NN//2]*ka)) \n Fk2MC[ik] = np.mean(n1[NN//2:]*np.tanh(m1[NN//2:]*ka))\n \nfig = plt.figure()\nax = fig.add_subplot(111)\n#plt.plot(kappas, Fk2, lw=2)\nplt.plot(kappas, -kappas+0.5*(Fk1MC+Fk2MC), color ='C3', lw=2)\n#plt.plot(kappas, -kappas+0.5*(Fk1MC+Fk2MC), '--', color ='C3', lw=2)\n\n\nFk = -kappas+0.5*(Fk1MC+Fk2MC)\nFk[Fk>0] = 10\nFk[Fk<0] = -10\nkappasm1 = kappas[:-1]\nsl = kappasm1[np.diff(Fk)>1]+0.5*(kappas[1]-kappas[0])\nsl2 = kappasm1[np.diff(Fk)<-1]+0.5*(kappas[1]-kappas[0])\n\nplt.plot(kappas, kappas*0, '--k')\nplt.scatter(sl,np.zeros_like(sl), edgecolor='C3', color='w', s=60, lw=2, zorder=4)\n\nk0s = kappas[np.argmin(np.abs(Fk[kappas<0.1]))]\nplt.scatter(sl2,np.zeros_like(sl2), edgecolor='k', color='C3', s=60, lw=1, zorder=4)\n\nplt.ylim([-1.5, 1.5])\nplt.ylabel(r'dynamics $d\\kappa / dt$')\nplt.xlabel(r'latent variable $\\kappa$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig5_B.pdf')\nplt.show()\n\n\n#%%\ns_mnI = np.array((-10., 4.5))\ns_m2 = np.array((1.98, 0.02))\ns_mn = s_mnI/s_m2\n\n\nkappas = np.linspace(-10, 10, 500)\nFk1 = np.zeros_like(kappas)\nFk2 = np.zeros_like(kappas)\nFk1MC = np.zeros_like(kappas)\nFk2MC = np.zeros_like(kappas)\nFk1MC2 = np.zeros_like(kappas)\nFk2MC2 = np.zeros_like(kappas)\nNN = 100000\nfor ik, ka in enumerate(kappas):\n Fk1[ik]= s_mnI[0]*ka*Prime(0, s_m2[0]*ka**2) \n Fk2[ik]= s_mnI[1]*ka*Prime(0, s_m2[1]*ka**2)\n \n m1 = np.random.randn(NN)\n m1[0:NN//2] = np.sqrt(s_m2[0])*m1[0:NN//2]/np.std(m1[0:NN//2])\n m1[NN//2:] = np.sqrt(s_m2[1])*m1[NN//2:]/np.std(m1[NN//2:])\n n1 = np.zeros_like(m1)\n ms = np.linspace(-80.5, 80.5, 1200)\n \n n1[0:NN//2] = s_mn[0]*m1[0:NN//2] +0.3*np.random.randn(NN//2)\n n1[NN//2:] = s_mn[1]*m1[NN//2:] +0.3*np.random.randn(NN//2)\n Fk1MC[ik] = np.mean((1./np.cosh(m1[0:NN//2]*ka))**2) \n Fk1MC2[ik] = np.mean(n1[0:NN//2]*np.tanh(m1[0:NN//2]*ka)) \n Fk2MC[ik] = np.mean((1./np.cosh(m1[NN//2:]*ka))**2) #np.mean(n1[NN//2:]*np.tanh(m1[NN//2:]*ka))\n Fk2MC2[ik] = np.mean(n1[NN//2:]*np.tanh(m1[NN//2:]*ka))\n \nfig = plt.figure()\nax = fig.add_subplot(111)\n#plt.plot(kappas, -kappas, color ='C3', lw=2)\nplt.plot(kappas, Fk1MC, color =color1, lw=2)\nplt.plot(kappas, Fk2MC, color =color2, lw=2)\n\nFk = -kappas+0.5*(Fk1MC2+Fk2MC2)\nFk[Fk>0] = 10\nFk[Fk<0] = -10\n#%%\nkappasm1 = kappas[:-1]\nsl = kappasm1[np.diff(Fk)>1]+0.5*(kappas[1]-kappas[0])\nsl2 = kappasm1[np.diff(Fk)<-1]+0.5*(kappas[1]-kappas[0])\n\nplt.plot(kappas, kappas*0, '--k')\n#plt.scatter(sl,np.zeros_like(sl), edgecolor='C3', color='w', s=60, lw=2, zorder=4)\n\nk0s = kappas[np.argmin(np.abs(Fk[kappas<0.1]))]\n#plt.scatter(sl2,np.zeros_like(sl2), edgecolor='k', color='C3', s=60, lw=1, zorder=4)\n\nplt.ylim([0, 1.05])\nplt.yticks([0, 0.5, 1.])\nplt.ylabel(r'gain $\\left\\langle \\phi^\\prime \\right\\rangle$')\nplt.xlabel(r'latent variable $\\kappa$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig5_C2.pdf')\nplt.show()\n\n\n\n#%%\nNN = 400\n \nm1 = np.random.randn(NN)\nm1[0:NN//2] = np.sqrt(s_m2[0])*m1[0:NN//2]/np.std(m1[0:NN//2])\nm1[NN//2:] = np.sqrt(s_m2[1])*m1[NN//2:]/np.std(m1[NN//2:])\nn1 = np.zeros_like(m1)\n \n#\nJ1 = np.dot(m1[:,None], n1[:,None].T)\n#J2 = np.dot(m2[:,None], n2[:,None].T)\n\ntime = np.linspace(0, 15, 200)\ndt = time[1]-time[0]\n\nnS = 10\nxs1 = np.zeros((len(time), nS))\nxs2 = np.zeros((len(time), nS))\n\nx0 = 0.5*np.random.randn(N)+10*np.random.randn()*m1\n#x02 = 0.5*np.random.randn(N)\nk1 = np.zeros(len(time))\n#k2 = np.zeros(len(time))\nfor it, t in enumerate(time[:-1]): \n xs1[it] = x0[0:nS]\n #xs2[it] = x02[0:nS]\n k1[it] = np.mean(m1*x0)\n #k2[it] = np.mean(m2*x02)\n \n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\n #x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\n \n x0=x\n #x02=x2\n \n xs1[it+1] = x0[0:nS]\n #xs2[it+1] = x02[0:nS]\n k1[it+1] = np.mean(m1*x0)\n #k2[it+1] = np.mean(m2*x02)\n#fig = plt.figure()\n#ax = fig.add_subplot(111)\n##plt.plot(time, xs2, color ='C0')\n#plt.plot(time, xs1, color ='C1')\n#\n#ax.spines['top'].set_visible(False)\n#ax.spines['right'].set_visible(False)\n#ax.yaxis.set_ticks_position('left')\n#ax.xaxis.set_ticks_position('bottom') \n#plt.ylabel(r'activation $x_i\\left(t\\right)$')\n#plt.xlabel(r'time')\n#plt.savefig('Th_Fig5_C2.pdf')\n\n#%%\n\nfig = plt.figure()\nax = fig.add_subplot(111)\n\ntrials = 20\nk0s = np.linspace(-10, 10, trials)\nfor rep in range(2):\n\n \n N = 2000\n \n try_Ms = 100\n \n s_mnI = np.array((-10., 4.5))\n s_m2 = np.array((1.98, 0.02))\n s_mn = s_mnI/s_m2\n \n targ0 = 10\n for try_M in range(try_Ms):\n m1 = np.random.randn(N)\n m1[0:N//2] = np.sqrt(s_m2[0])*m1[0:N//2]/np.std(m1[0:N//2])\n m1[N//2:] = np.sqrt(s_m2[1])*m1[N//2:]/np.std(m1[N//2:])\n n1 = np.zeros_like(m1)\n ms = np.linspace(-80.5, 80.5, 1200)\n \n n1[0:N//2] = s_mn[0]*m1[0:N//2] +0.3*np.random.randn(N//2)\n n1[N//2:] = s_mn[1]*m1[N//2:] +0.3*np.random.randn(N//2)\n \n targ = (np.mean(m1[0:N//2]*n1[0:N//2]) - s_mnI[0])**2+(np.mean(m1[N//2:]*n1[N//2:]) \\\n - s_mnI[1])**2+ (np.mean(m1[0:N//2]*n1[N//2:])) **2+ (np.mean(m1[N//2:]*n1[0:N//2]))**2\n if targ<targ0:\n m1S = m1\n n1S = n1\n print(targ)\n print('---')\n \n \n m1 = m1S\n n1 = n1S\n \n for tr in range(trials):\n \n m1 = m1S\n n1 = n1S\n \n \n J1 = np.dot(m1[:,None], n1[:,None].T)\n J1s1 = J1[0:N, 0:N]\n J1s2 = J1[N:, N:]\n # J2 = np.dot(m2[:,None], n2[:,None].T)\n key = (16*np.random.rand()-8)\n x0 = 0.5*np.random.randn(N)+m1*k0s[tr]\n # x02 = 0.5*np.random.randn(N)+0.05*m2*np.random.randn()\n k1 = np.zeros(len(time))\n # k2 = np.zeros(len(time))\n for it, t in enumerate(time[:-1]): \n xs1[it] = x0[0:nS]\n # xs2[it] = x02[0:nS]\n k1[it] = np.mean(m1*x0)\n # k2[it] = np.mean(m2*x02)\n \n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\n # x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\n \n x0=x\n # x02=x2\n \n k1[it+1] = np.mean(m1*x0)\n # k2[it+1] = np.mean(m2*x02)\n plt.plot(time, k1, color =[0.4,0.4,0.4])\n # plt.plot(time, k2, color ='C0')\n \n plt.plot(time, sl2[0]*np.ones_like(time), lw=4, alpha=0.2, color ='C3')\n plt.plot(time, sl2[1]*np.ones_like(time), lw=4, alpha=0.2, color ='C3')\n plt.plot(time, sl2[2]*np.ones_like(time), lw=4, alpha=0.2, color ='C3')\n \n plt.plot(time, sl[0]*np.ones_like(time), '--', lw=4, alpha=0.2, color ='C3')\n plt.plot(time, sl[1]*np.ones_like(time), '--', lw=4, alpha=0.2, color ='C3')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.ylabel(r'latent variable $\\kappa$')\nplt.xlabel(r'time')\nplt.savefig('Th_Fig5_D.pdf')\n"},{"alpha_fraction":0.5201597213745117,"alphanum_fraction":0.5951923727989197,"avg_line_length":31.370647430419922,"blob_id":"1b9f59b0f20d292d8c254c230f6d87c744ff58ee","content_id":"6a39047134d4dca9010af8f01c495b985ee0a9c7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":13021,"license_type":"no_license","max_line_length":127,"num_lines":402,"path":"/C_Fig3_IJKL.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 200\nnbins = 20\ns_mn1 = 0.5\ns_mn2 = 1.2\nm1 = np.random.randn(N)\nm1 = m1/np.std(m1)\nm2 = np.random.randn(N)\nm2 = m2/np.std(m2)\nms = np.linspace(-3, 3)\n\nn1 = s_mn1*m1+0.3*np.random.randn(N)\nn2 = s_mn2*m2+0.3*np.random.randn(N)\n\n\n#%%\n# =============================================================================\n# Fig 2\n# =============================================================================\nms = np.linspace(-5,5,100)\nSigma = np.zeros((2,2))\nSigma[0,0] = 1.6\nSigma[1,1] = 1.6\nSigma[0,1] = 0.\nN = 1000\nS=10\nM = np.random.randn(N,2)\nM = M/np.std(M,0)\nss2 = 0.3\n\nN = np.dot(Sigma, M.T)+ss2*np.random.randn(2,N)\n\nfig = plt.figure(figsize=[3.2, 3.2], dpi=450)\ngs = GridSpec(5,5)\n\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\n\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\n\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\n\nax_joint00.scatter(M[:,0], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint00.plot(ms, Sigma[0,0]*ms, '--', c='k', lw=1)\nax_joint00.set_xlim([-3,3])\nax_joint00.set_xticks([-2., 0, 2.])\nax_joint00.set_xticklabels(['','',''])\nax_joint00.set_ylim([-5.5,5.5])\nax_joint00.set_yticks([-5, 0, 5])\nax_joint00.set_ylabel(r'$n^{\\left(1\\right)}_i$')\nax_joint00.spines['top'].set_visible(False)\nax_joint00.spines['right'].set_visible(False)\nax_joint00.yaxis.set_ticks_position('left')\nax_joint00.xaxis.set_ticks_position('bottom')\n \nax_joint01.scatter(M[:,1], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint01.plot(ms, Sigma[0,1]*ms, '--', c='k', lw=1)\nax_joint01.spines['top'].set_visible(False)\nax_joint01.spines['right'].set_visible(False)\nax_joint01.yaxis.set_ticks_position('left')\nax_joint01.xaxis.set_ticks_position('bottom')\nax_joint01.set_ylim([-5.5,5.5])\nax_joint01.set_yticks([-5, 0, 5])\nax_joint01.set_yticklabels(['','',''])\nax_joint01.set_xlim([-3,3])\nax_joint01.set_xticks([-2., 0, 2.])\nax_joint01.set_xticklabels(['','',''])\n\nax_joint10.scatter(M[:,0], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint10.plot(ms, Sigma[1,0]*ms, '--', c='k', lw=1)\nax_joint10.set_xlim([-3,3])\nax_joint10.spines['top'].set_visible(False)\nax_joint10.spines['right'].set_visible(False)\nax_joint10.yaxis.set_ticks_position('left')\nax_joint10.xaxis.set_ticks_position('bottom')\nax_joint10.set_ylim([-5.5,5.5])\nax_joint10.set_yticks([-5, 0, 5])\nax_joint10.set_xlim([-3,3])\nax_joint10.set_xticks([-2., 0, 2.])\nax_joint10.set_ylabel(r'$n^{\\left(2\\right)}_i$')\nax_joint10.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n\nax_joint11.scatter(M[:,1], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint11.plot(ms, Sigma[1,1]*ms, '--', c='k', lw=1)\nax_joint11.set_xlim([-3,3])\nax_joint11.spines['top'].set_visible(False)\nax_joint11.spines['right'].set_visible(False)\nax_joint11.set_ylim([-5.5,5.5])\nax_joint11.set_yticks([-5, 0, 5])\nax_joint11.set_xticks([-2., 0, 2.])\nax_joint11.set_xlim([-3,3])\nax_joint11.set_yticklabels(['','',''])\nax_joint11.yaxis.set_ticks_position('left')\nax_joint11.xaxis.set_ticks_position('bottom')\nax_joint11.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\n\nax_marg_x0.spines['top'].set_visible(False)\nax_marg_x0.spines['right'].set_visible(False)\nax_marg_x0.spines['left'].set_visible(False)\nax_marg_x0.yaxis.set_ticks_position('left')\nax_marg_x0.xaxis.set_ticks_position('bottom')\nax_marg_x0.set_xlim([-3,3])\nax_marg_x0.set_xticks([-2., 0, 2.])\nax_marg_x0.set_ylim([0,0.45])\nax_marg_x0.set_xticklabels(['','',''])\nax_marg_x0.set_yticks([1])\n\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\nax_marg_x1.spines['top'].set_visible(False)\nax_marg_x1.spines['right'].set_visible(False)\nax_marg_x1.spines['left'].set_visible(False)\nax_marg_x1.yaxis.set_ticks_position('left')\nax_marg_x1.xaxis.set_ticks_position('bottom')\nax_marg_x1.set_xlim([-3,3])\nax_marg_x1.set_ylim([0,0.45])\nax_marg_x1.set_xticks([-2., 0, 2.])\nax_marg_x1.set_xticklabels(['','',''])\nax_marg_x1.set_yticks([1])\n\nax_marg_y0.hist(N[0,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(Sigma[0,0]**2+ss2**2)\nax_marg_y0.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y0.spines['top'].set_visible(False)\nax_marg_y0.spines['right'].set_visible(False)\nax_marg_y0.spines['bottom'].set_visible(False)\nax_marg_y0.yaxis.set_ticks_position('left')\nax_marg_y0.xaxis.set_ticks_position('bottom')\nax_marg_y0.set_ylim([-5.5,5.5])\nax_marg_y0.set_xlim([0,0.45])\nax_marg_y0.set_yticks([-5., 0, 5.])\nax_marg_y0.set_yticklabels(['','',''])\nax_marg_y0.set_xticks([1])\nax_marg_y0.set_xticklabels([''])\n\nax_marg_y1.hist(N[1,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(Sigma[1,1]**2+ss2**2)\nax_marg_y1.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y1.spines['top'].set_visible(False)\nax_marg_y1.spines['right'].set_visible(False)\nax_marg_y1.spines['bottom'].set_visible(False)\nax_marg_y1.yaxis.set_ticks_position('left')\nax_marg_y1.xaxis.set_ticks_position('bottom')\nax_marg_y1.set_ylim([-5.5,5.5])\nax_marg_y1.set_xlim([0,0.45])\nax_marg_y1.set_yticks([-5., 0, 5.])\nax_marg_y1.set_yticklabels(['','',''])\nax_marg_y1.set_xticks([1])\nax_marg_y1.set_xticklabels([''])\n\nplt.savefig('Th_Fig22_3_A.pdf')\n\n#%%\nplt.rcParams[\"axes.grid\"] = False\nfig = plt.figure(figsize = [2.0, 2.0])\nax = fig.add_subplot(111) \nplt.imshow(Sigma, cmap='OrRd', vmin = 0, vmax = 4)\nax.tick_params(color='white')\n\n\nfor i in range(np.shape(Sigma)[0]):\n for j in range(np.shape(Sigma)[1]):\n ax.text(i, j, str(Sigma[j,i]), va='center', ha='center', fontsize=16)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([0, 1])\nax.set_yticks([0, 1])\n\n\nax.set_xticklabels([r'$m_i^{\\left(1\\right)}$', r'$m_i^{\\left(2\\right)}$'], fontsize=14)\nax.set_yticklabels([r'$n_i^{\\left(1\\right)}$', r'$n_i^{\\left(2\\right)}$'], fontsize=14)\n\nplt.savefig('Th_Fig22_3_B.pdf')\n\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nu, v = np.linalg.eig(Sigma)\nl1 = -0.5\nl2 = 2.\ncC = np.array((1, 1, 1,))*0.3\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\nplt.plot( [0,0],[l1, l2], 'k', lw=0.5)\nax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\n head_width=0.2, head_length=0.2)\nax.arrow(0, 0, u[1]*v[0,1], u[1]*v[1,1], fc=cC, ec=cC, alpha =0.8, width=0.06,\n head_width=0.2, head_length=0.2)\n\nax.text(0.8, 0.2, r'$\\lambda_1 \\bf{u}_1$', fontsize = 18)\nax.text(0.55, 1., r'$\\lambda_2 \\bf{u}_2$', fontsize = 18)\n\n\nax.set_xlim([l1, l2])\nax.set_ylim([l1, l2])\n\n\nax.axis('off')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nplt.savefig('Th_Fig22_3_B1.pdf')\n\n#%%\nkaps1 = np.linspace(-1.3,1.3, 130)\nkaps2 = np.linspace(-1.3,1.3, 100)\nksol = np.zeros((len(kaps1), len(kaps2), 2))\n\nK1s, K2s = np.meshgrid(kaps1, kaps2)\ndef transf(K):\n return(K*Prime(0, np.dot(K.T, K)))\n \nE = np.zeros((len(kaps1), len(kaps2)))\nfor ik1 ,k1 in enumerate(kaps1):\n for ik2, k2 in enumerate(kaps2):\n K = np.array((k1, k2))\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\n \n\n\nsearch_kap1 = np.linspace(0.2, 1.3, 300)\nE_1 = np.zeros_like(search_kap1)\nfor ik1 ,k1 in enumerate(search_kap1):\n K = v[:,0]*k1\n kSS = - K+ np.dot(Sigma, transf(K))\n E_1[ik1] = np.sqrt(np.sum(kSS**2))\nfp1 = search_kap1[np.argmin(E_1)]\n\nsearch_kap2 = np.linspace(0.2, 1.3, 300)\nE_2 = np.zeros_like(search_kap1)\nfor ik2 ,k2 in enumerate(search_kap2):\n K = v[:,1]*k2\n kSS = - K+ np.dot(Sigma, transf(K))\n E_2[ik2] = np.sqrt(np.sum(kSS**2))\nfp2 = search_kap2[np.argmin(E_2)]\n\nfig = plt.figure()\nax = fig.add_subplot(111) \nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading='auto')\n\n#cbar = ax.figure.colorbar(im, ax=ax)\n#cbar.set_ticks([-2, -1, 0])\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\n#cbar.set_label(r'$\\log_{10}$ speed', rotation=270, labelpad=18)\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0, ], [0,], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\nths = np.linspace(0, np.pi*2)\n\nplt.plot(fp1*np.cos(ths), fp1*np.sin(ths), c='w', lw=3)\nplt.plot(fp1*np.cos(ths), fp1*np.sin(ths), c='k', lw=1)\n\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\nplt.savefig('Th_Fig22_3_C1.pdf')\n\n\n\n#%%\nnp.random.seed(66779)\ncC = np.array((1, 1, 1,))*0.3\n\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0,], [0,], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\n#plt.plot(fp1*np.cos(ths), fp1*np.sin(ths), c='w', lw=2)\nplt.plot(fp1*np.cos(ths), fp1*np.sin(ths), '--k', lw=1)\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\n\nNn = 1000\nSigmaTot = np.eye(4)\nSigmaTot[2,2] = 4\nSigmaTot[3,3] = 4\n\nSigmaTot[0,2] = Sigma[0,0]\nSigmaTot[0,3] = Sigma[1,0]\nSigmaTot[1,2] = Sigma[0,1]\nSigmaTot[1,3] = Sigma[1,1]\n\nSigmaTot[2,0] = SigmaTot[0,2]\nSigmaTot[3,0] = SigmaTot[0,3]\nSigmaTot[2,1] = SigmaTot[1,2]\nSigmaTot[3,1] = SigmaTot[1,3]\n\nMu= np.zeros((4,1))\n\ninkap1 = np.linspace(-1, 1, 4)\ninkap2 = np.linspace(-1.1, 1.1001, 5)\n\ndt = 0.8\ntime = np.arange(0, 280, dt)\n\nfor trials in range(2):\n try_s0 = 100\n for tr in range(20):\n XX = np.random.multivariate_normal(Mu[:,0], SigmaTot, size=Nn)\n try_s = np.sum((np.dot(XX.T,XX)/1000-SigmaTot)**2)\n if try_s < try_s0:\n #print(try_s)\n try_s0 = try_s\n XX_s = XX\n M = XX_s[:,0:2]\n N = XX_s[:,2:4]\n \n J = np.dot(M, N.T)/Nn\n \n cC = 0.6+0.2*np.random.rand()-0.1\n \n for ik1, ink1 in enumerate(inkap1):\n for ik2, ink2 in enumerate(inkap2):\n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n \n x0 = ink1*M[:,0] + ink2*M[:,1]\n sk1[0] = np.mean(M[:,0]*x0)\n sk2[0] = np.mean(M[:,1]*x0)\n \n for it, ti in enumerate(time[:-1]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\n sk1[it+1] = np.mean(M[:,0]*x)\n sk2[it+1] = np.mean(M[:,1]*x)\n x0 = x\n plt.plot(sk1, sk2, c=[cC, cC, cC])\n plt.scatter(sk1[0], sk2[0], s=15, facecolor=[cC, cC, cC])\n if trials==0:\n cC = 0.3\n plt.plot(sk1, sk2, c=[cC, cC, cC])\n plt.scatter(sk1[0], sk2[0], s=15, facecolor=[cC, cC, cC])\n plt.scatter(sk1[-1], sk2[-1], s=40, facecolor=[cC, cC, cC], edgecolor='k', linewidth=1., zorder=5)\n elif trials==1:\n cC = 0.6\n plt.plot(sk1, sk2, c=[cC, cC, cC])\n plt.scatter(sk1[0], sk2[0], s=15, facecolor=[cC, cC, cC])\n plt.scatter(sk1[-1], sk2[-1], s=40, facecolor=[cC, cC, cC], edgecolor='k', linewidth=1., zorder=5)\n \n \nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\n \nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \n\nplt.savefig('Th_Fig22_3_D.pdf') \n "},{"alpha_fraction":0.5509763360023499,"alphanum_fraction":0.6148654818534851,"avg_line_length":26.573200225830078,"blob_id":"1f5704326cb247fb78e071486c980b7d4da8bfb2","content_id":"c9c7cfa294b0245882babb553db4fc5895469991","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11113,"license_type":"no_license","max_line_length":84,"num_lines":403,"path":"/C_Fig2.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 200\nnbins = 20\ns_mn1 = 0.5\ns_mn2 = 1.2\nm1 = np.random.randn(N)\nm1 = m1/np.std(m1)\nm2 = np.random.randn(N)\nm2 = m2/np.std(m2)\nms = np.linspace(-3, 3)\n\nn1 = s_mn1*m1+0.3*np.random.randn(N)\nn2 = s_mn2*m2+0.3*np.random.randn(N)\n\nss1 = np.sqrt(s_mn1+0.3**2)\nss2 = np.sqrt(s_mn2+0.3**2)\n\nfig = plt.figure(figsize=[3.6, 3.6])\n\ngs = GridSpec(4,4)\n\nax_joint = fig.add_subplot(gs[1:4,0:3])\nax_marg_x = fig.add_subplot(gs[0,0:3])\nax_marg_y = fig.add_subplot(gs[1:4,3])\n\n\n\nax_joint.scatter(m1, n1, s=20, alpha=0.5, label=r'$\\sigma_{mn} = 0.5$')\n\nax_joint.plot(ms, s_mn1*ms, '--', c='k', lw=1)\nax_joint.plot(ms, ms, c='k', lw=1)\n\n\nax_joint.legend(loc=2,frameon=False, handletextpad=-0.1)\nax_joint.spines['top'].set_visible(False)\nax_joint.spines['right'].set_visible(False)\nax_joint.yaxis.set_ticks_position('left')\nax_joint.xaxis.set_ticks_position('bottom')\n\nax_joint.set_ylim([-4.2, 4.2])\nax_joint.set_xlabel(r'$m_i$')\nax_joint.set_ylabel(r'$n_i$')\n\nax_marg_x.hist(m2, nbins, alpha=0.5, density=True)\n\nax_marg_x.spines['top'].set_visible(False)\nax_marg_x.spines['right'].set_visible(False)\nax_marg_x.yaxis.set_ticks_position('left')\nax_marg_x.xaxis.set_ticks_position('bottom')\nax_marg_x.plot( ms, np.exp(-ms**2/(2*1**2))/np.sqrt(2*np.pi*1**2), c='C0', lw=2)\n\nax_marg_y.hist(n1, nbins, orientation=\"horizontal\", alpha=0.5, density=True)\n\nax_marg_y.plot( np.exp(-ms**2/(2*ss1**2))/np.sqrt(2*np.pi*ss1**2),ms, lw=2, c='C0',)\n\n\nax_marg_y.spines['top'].set_visible(False)\nax_marg_y.spines['right'].set_visible(False)\nax_marg_y.yaxis.set_ticks_position('left')\nax_marg_y.xaxis.set_ticks_position('bottom')\nax_marg_y.set_ylim([-4.2, 4.2])\n\nax_marg_y.set_xticklabels(['0', '0.5'])\n\n## Turn off tick labels on marginals\nplt.setp(ax_marg_x.get_xticklabels(), visible=False)\nplt.setp(ax_marg_y.get_yticklabels(), visible=False)\n\n## Set labels on marginals\nax_marg_y.set_xlabel(r'$P(n_i)$')\nax_marg_x.set_ylabel(r'$P(m_i)$')\n\nplt.savefig('Th_Fig1_A_11.pdf')\n\n#%%\nfig = plt.figure(figsize=[3.6, 3.6])\n\ngs = GridSpec(4,4)\n\nax_joint = fig.add_subplot(gs[1:4,0:3])\nax_marg_x = fig.add_subplot(gs[0,0:3])\nax_marg_y = fig.add_subplot(gs[1:4,3])\n\n\n\nax_joint.scatter(m2, n2, s=20, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$')\n\nax_joint.plot(ms, s_mn2*ms, '--', c='k', lw=1)\nax_joint.plot(ms, ms, c='k', lw=1)\n\n\nax_joint.legend(loc=2,frameon=False, handletextpad=-0.1)\nax_joint.spines['top'].set_visible(False)\nax_joint.spines['right'].set_visible(False)\nax_joint.yaxis.set_ticks_position('left')\nax_joint.xaxis.set_ticks_position('bottom')\n\nax_joint.set_ylim([-4.2, 4.2])\nax_joint.set_xlabel(r'$m_i$')\nax_joint.set_ylabel(r'$n_i$')\n\nax_marg_x.hist(m2, nbins, alpha=0.5, density=True)\n\nax_marg_x.spines['top'].set_visible(False)\nax_marg_x.spines['right'].set_visible(False)\nax_marg_x.yaxis.set_ticks_position('left')\nax_marg_x.xaxis.set_ticks_position('bottom')\nax_marg_x.plot( ms, np.exp(-ms**2/(2*1**2))/np.sqrt(2*np.pi*1**2), c='C0', lw=2)\n\nax_marg_y.hist(n2, nbins, orientation=\"horizontal\", alpha=0.5, density=True)\n\nax_marg_y.plot( np.exp(-ms**2/(2*ss2**2))/np.sqrt(2*np.pi*ss2**2),ms, lw=2, c='C0',)\n\nax_marg_y.spines['top'].set_visible(False)\nax_marg_y.spines['right'].set_visible(False)\nax_marg_y.yaxis.set_ticks_position('left')\nax_marg_y.xaxis.set_ticks_position('bottom')\nax_marg_y.set_ylim([-4.2, 4.2])\n\nax_marg_y.set_xticklabels(['0', '0.5'])\n\n## Turn off tick labels on marginals\nplt.setp(ax_marg_x.get_xticklabels(), visible=False)\nplt.setp(ax_marg_y.get_yticklabels(), visible=False)\n\n## Set labels on marginals\nax_marg_y.set_xlabel(r'$P(n_i)$')\nax_marg_x.set_ylabel(r'$P(m_i)$')\n\nplt.savefig('Th_Fig1_A_12.pdf')\n#%%\nkappas = np.linspace(-1, 1, 500)\nFk1 = np.zeros_like(kappas)\nFk2 = np.zeros_like(kappas)\n\nfor ik, ka in enumerate(kappas):\n Fk1[ik]= -ka + s_mn1*ka*Prime(0, ka**2)\n Fk2[ik]= -ka + s_mn2*ka*Prime(0, ka**2)\nfig = plt.figure()\nax = fig.add_subplot(111)\nplt.plot(kappas, Fk2, lw=2, c='C3')\n#plt.plot(kappas, Fk1, lw=2)\n\nplt.plot(kappas, kappas*0, '--k')\nplt.scatter(0,0, edgecolor='C3', color='w', s=60, lw=2, zorder=4)\n\nk0s = kappas[np.argmin(np.abs(Fk2[kappas<0.1]))]\nplt.scatter(k0s,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\nplt.scatter(-k0s,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\n\nplt.ylim([-0.5, 0.5])\nplt.ylabel(r'dynamics $d\\kappa / dt$')\nplt.xlabel(r'latent variable $\\kappa$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig1_C_2.pdf')\n\n#%%\nkappas = np.linspace(-1, 1, 500)\nFk1 = np.zeros_like(kappas)\nFk2 = np.zeros_like(kappas)\n\nfor ik, ka in enumerate(kappas):\n Fk1[ik]= -ka + s_mn1*ka*Prime(0, ka**2)\n Fk2[ik]= -ka + s_mn2*ka*Prime(0, ka**2)\nfig = plt.figure()\nax = fig.add_subplot(111)\n#plt.plot(kappas, Fk2, lw=2)\nplt.plot(kappas, Fk1, lw=2, c='C3')\n\nplt.plot(kappas, kappas*0, '--k')\n#plt.scatter(0,0, edgecolor='C3', color='w', s=60, lw=2, zorder=4)\n\nk0s = kappas[np.argmin(np.abs(Fk2[kappas<0.1]))]\nplt.scatter(0,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\n#plt.scatter(-k0s,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\n\nplt.ylim([-0.5, 0.5])\nplt.ylabel(r'dynamics $d\\kappa / dt$')\nplt.xlabel(r'latent variable $\\kappa$')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig1_C_1.pdf')\n\n#%%\nJ1 = np.dot(m1[:,None], n1[:,None].T)\nJ2 = np.dot(m2[:,None], n2[:,None].T)\n\ntime = np.linspace(0, 40, 1000)\ndt = time[1]-time[0]\n\nnS = 10\nxs1 = np.zeros((len(time), nS))\nxs2 = np.zeros((len(time), nS))\n\nx0 = 0.5*np.random.randn(N)\nx02 = 0.5*np.random.randn(N)\nk1 = np.zeros(len(time))\nk2 = np.zeros(len(time))\nfor it, t in enumerate(time[:-1]): \n xs1[it] = x0[0:nS]\n xs2[it] = x02[0:nS]\n k1[it] = np.mean(m1*x0)\n k2[it] = np.mean(m2*x02)\n \n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\n \n x0=x\n x02=x2\n \n xs1[it+1] = x0[0:nS]\n xs2[it+1] = x02[0:nS]\n k1[it+1] = np.mean(m1*x0)\n k2[it+1] = np.mean(m2*x02)\nfig = plt.figure()\nax = fig.add_subplot(111)\nplt.plot(time, xs2, c='C0')\n#plt.plot(time, xs1, c='C1')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.ylabel(r'activation $x_i\\left(t\\right)$')\nplt.xlabel(r'time')\nplt.savefig('Th_Fig1_B_2.pdf')\n\n#%%\nJ1 = np.dot(m1[:,None], n1[:,None].T)\nJ2 = np.dot(m2[:,None], n2[:,None].T)\n\ntime = np.linspace(0, 40, 1000)\ndt = time[1]-time[0]\n\nnS = 10\nxs1 = np.zeros((len(time), nS))\nxs2 = np.zeros((len(time), nS))\n\nx0 = 0.5*np.random.randn(N)\nx02 = 0.5*np.random.randn(N)\nk1 = np.zeros(len(time))\nk2 = np.zeros(len(time))\nfor it, t in enumerate(time[:-1]): \n xs1[it] = x0[0:nS]\n xs2[it] = x02[0:nS]\n k1[it] = np.mean(m1*x0)\n k2[it] = np.mean(m2*x02)\n \n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\n \n x0=x\n x02=x2\n \n xs1[it+1] = x0[0:nS]\n xs2[it+1] = x02[0:nS]\n k1[it+1] = np.mean(m1*x0)\n k2[it+1] = np.mean(m2*x02)\nfig = plt.figure()\nax = fig.add_subplot(111)\n#plt.plot(time, xs2, c='C0')\nplt.plot(time, xs1, c='C0')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.ylabel(r'activation $x_i\\left(t\\right)$')\nplt.xlabel(r'time')\nplt.savefig('Th_Fig1_B_1.pdf')\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111)\ntrials = 10\n\nN = 1000\nfor tr in range(trials):\n m1 = np.random.randn(N)\n m1 = m1/np.std(m1)\n m2 = np.random.randn(N)\n m2 = m2/np.std(m2)\n ms = np.linspace(-3, 3)\n \n n1 = s_mn1*m1+0.3*np.random.randn(N)\n n2 = s_mn2*m2+0.3*np.random.randn(N)\n\n J1 = np.dot(m1[:,None], n1[:,None].T)\n J2 = np.dot(m2[:,None], n2[:,None].T)\n x0 = 0.5*np.random.randn(N)+0.05*m1*np.random.randn()\n x02 = 0.5*np.random.randn(N)+0.05*m2*np.random.randn()\n k1 = np.zeros(len(time))\n k2 = np.zeros(len(time))\n for it, t in enumerate(time[:-1]): \n xs1[it] = x0[0:nS]\n xs2[it] = x02[0:nS]\n k1[it] = np.mean(m1*x0)\n k2[it] = np.mean(m2*x02)\n \n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\n \n x0=x\n x02=x2\n \n k1[it+1] = np.mean(m1*x0)\n k2[it+1] = np.mean(m2*x02)\n plt.plot(time, k1, c='C3')\n #plt.plot(time, k2, c='C0')\n \nplt.plot(time, 0*time, lw=4, alpha=0.2, c='C3')\n#plt.plot(time, k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\n#plt.plot(time, -k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.ylabel(r'latent variable $\\kappa$')\nplt.xlabel(r'time')\nplt.savefig('Th_Fig1_D_1.pdf')\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111)\ntrials = 10\n\nN = 1000\nfor tr in range(trials):\n m1 = np.random.randn(N)\n m1 = m1/np.std(m1)\n m2 = np.random.randn(N)\n m2 = m2/np.std(m2)\n ms = np.linspace(-3, 3)\n \n n1 = s_mn1*m1+0.3*np.random.randn(N)\n n2 = s_mn2*m2+0.3*np.random.randn(N)\n\n J1 = np.dot(m1[:,None], n1[:,None].T)\n J2 = np.dot(m2[:,None], n2[:,None].T)\n x0 = 0.5*np.random.randn(N)+0.05*m1*np.random.randn()\n x02 = 0.5*np.random.randn(N)+0.05*m2*np.random.randn()\n k1 = np.zeros(len(time))\n k2 = np.zeros(len(time))\n for it, t in enumerate(time[:-1]): \n xs1[it] = x0[0:nS]\n xs2[it] = x02[0:nS]\n k1[it] = np.mean(m1*x0)\n k2[it] = np.mean(m2*x02)\n \n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\n \n x0=x\n x02=x2\n \n k1[it+1] = np.mean(m1*x0)\n k2[it+1] = np.mean(m2*x02)\n #plt.plot(time, k1, c='C3')\n plt.plot(time, k2, c='C3')\n \n#plt.plot(time, 0*time, lw=4, alpha=0.2, c='C3')\nplt.plot(time, k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\nplt.plot(time, -k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.ylabel(r'latent variable $\\kappa$')\nplt.xlabel(r'time')\nplt.savefig('Th_Fig1_D_2.pdf')\n\n"},{"alpha_fraction":0.48015499114990234,"alphanum_fraction":0.5536705255508423,"avg_line_length":28.750778198242188,"blob_id":"3443c91d90efc2615d69f09c2999017a1738871c","content_id":"39bb5be8c40ea5b2dcb82f79ee2cb5c6ed7b42f2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":9549,"license_type":"no_license","max_line_length":136,"num_lines":321,"path":"/C_Fig8_ABC.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Wed Oct 7 11:01:38 2020\n\n@author: mbeiran\n\"\"\"\n\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Trip (mu, delta0):\n integrand = 2*(np.cosh(2*(mu+np.sqrt(delta0)*gauss_points))-2 )/np.cosh(mu+np.sqrt(delta0)*gauss_points)**4\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n\n#%%\n\nepss = np.array((0, 0.1, 0.2, 0.4, 0.6, 1.0, 2.0))\n\nfp1s = np.zeros_like(epss)\nfp2s = np.zeros_like(epss)\nus = np.zeros((2,len(epss)))\nvs = np.zeros((2,2,len(epss)))\nu3s = np.zeros((2,len(epss)))\nv3s = np.zeros((2,2,len(epss)))\n\ndt = 0.1\nT = 40\ntime = np.arange(0, T, dt)\ntraj1s = np.zeros((2,len(time), len(epss)))\ntraj2s = np.zeros((2,len(time), len(epss)))\n\nclS = np.zeros((3, len(epss)))\n\ncl2 = np.array(( 225/256, 74/256, 51/256))\ncl1 = np.array(( 0.5, 0.5, 0.5))\n\nnL = len(epss)-1\nfor iep, eps in enumerate(epss):\n clS[:,iep] = cl1* (nL-iep)/nL + cl2* (iep)/nL\n\nfor iep, eps in enumerate(epss):\n ms = np.linspace(-5,5,100)\n Sigma = np.zeros((2,2))\n Sigma[0,0] = 1.2\n Sigma[1,1] = 1.6\n Sigma[0,1] = eps\n \n \n #%%\n\n \n u, v = np.linalg.eig(Sigma)\n us[:,iep] = u\n vs[:,:,iep] = v\n \n l1 = -0.5\n l2 = 2.\n cC = np.array((1, 1, 1,))*0.3\n\n \n #%%\n kaps1 = np.linspace(-1.3,1.3, 130)\n kaps2 = np.linspace(-1.3,1.3, 100)\n ksol = np.zeros((len(kaps1), len(kaps2), 2))\n \n K1s, K2s = np.meshgrid(kaps1, kaps2)\n def transf(K):\n return(K*Prime(0, np.dot(K.T, K)))\n \n E = np.zeros((len(kaps1), len(kaps2)))\n for ik1 ,k1 in enumerate(kaps1):\n for ik2, k2 in enumerate(kaps2):\n K = np.array((k1, k2))\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\n \n \n \n search_kap1 = np.linspace(0.2, 1.3, 300)\n E_1 = np.zeros_like(search_kap1)\n for ik1 ,k1 in enumerate(search_kap1):\n K = v[:,0]*k1\n kSS = - K+ np.dot(Sigma, transf(K))\n E_1[ik1] = np.sqrt(np.sum(kSS**2))\n fp1 = search_kap1[np.argmin(E_1)]\n fp1s[iep] = fp1\n \n search_kap2 = np.linspace(0.2, 1.3, 300)\n E_2 = np.zeros_like(search_kap1)\n for ik2 ,k2 in enumerate(search_kap2):\n K = v[:,1]*k2\n kSS = - K+ np.dot(Sigma, transf(K))\n E_2[ik2] = np.sqrt(np.sum(kSS**2))\n fp2 = search_kap2[np.argmin(E_2)]\n fp2s[iep] = fp2\n \n RR = np.array((v[0,0]*fp1, v[1,0]*fp1))\n RR = RR[:,None]\n Triple = Trip(0, fp1**2)\n S2 = -np.eye(2)+Sigma/u[0] + Triple*u[0]*np.dot(RR,RR.T)\n \n u2, v2 = np.linalg.eig(S2)\n print(u2)\n k1 = RR[:,0]\n\n traj1 = np.zeros((2,len(time)))\n traj2 = np.zeros((2,len(time)))\n traj1[:,0] = RR[:,0] + 0.01 * v2[:,1]\n traj2[:,0] = RR[:,0] - 0.01* v2[:,1]\n \n for it, ti in enumerate(time[:-1]):\n traj1[:,it+1] = traj1[:,it] + dt*(-traj1[:,it] + np.dot(Sigma,transf(traj1[:,it])))\n traj2[:,it+1] = traj2[:,it] + dt*(-traj2[:,it] + np.dot(Sigma,transf(traj2[:,it])))\n \n traj1s[:,:,iep] = traj1\n traj2s[:,:,iep] = traj2\n \n \n RR = np.array((v[0,1]*fp2, v[1,1]*fp2))\n RR = RR[:,None]\n Triple = Trip(0, fp2**2)\n S3 = -np.eye(2)+Sigma/u[1] + Triple*u[1]*np.dot(RR,RR.T)\n\n u3, v3 = np.linalg.eig(S3)\n print(u3)\n print('--')\n u3s[:,iep] = u3\n v3s[:,:,iep] = v3\n \n \n fig = plt.figure()\n ax = fig.add_subplot(111) \n im = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading= 'auto')\n \n\n strm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\n plt.xlabel('$\\kappa_1$')\n plt.ylabel('$\\kappa_2$')\n# plt.scatter([fp1, 0, -fp1], [0,0,0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n# plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\n# \n plt.scatter([fp1, 0, -fp1], [0,0,0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=80, edgecolor='w', facecolor=clS[:,iep], linewidth=1.5, zorder=4)\n \n plt.plot(traj1s[0,:,iep], traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\n plt.plot(-traj1s[0,:,iep], -traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\n \n plt.plot(traj2s[0,:,iep], traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\n plt.plot(-traj2s[0,:,iep], -traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\n \n ax.set_xticks([-1, 0, 1])\n ax.set_yticks([-1, 0, 1])\n ax.set_ylim([np.min(kaps2), np.max(kaps2)])\n ax.set_xlim([np.min(kaps1), np.max(kaps1)])\n plt.savefig('Th_FigS2_2_C1_'+str(eps)+'.pdf')\n \n#%%\n \n\nfig = plt.figure()\nax = fig.add_subplot(111) \nfor iep, eps in enumerate(epss):\n fp1 = fp1s[iep]\n fp2 = fp2s[iep]\n u = us[:,iep]\n v = vs[:,:,iep]\n \n plt.scatter([fp1, 0, -fp1], [0,0,0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\n plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=80, edgecolor='w', facecolor=clS[:,iep], linewidth=1.5, zorder=4)\n \n plt.plot(traj1s[0,:,iep], traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\n plt.plot(-traj1s[0,:,iep], -traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\n \n plt.plot(traj2s[0,:,iep], traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\n plt.plot(-traj2s[0,:,iep], -traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\n \nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.savefig('Th_FigS2_C.pdf')\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\nplt.plot( [0,0],[l1, l2], 'k', lw=0.5)\nfor iep, eps in enumerate(epss):\n Sigma = np.zeros((2,2))\n Sigma[0,0] = 1.2\n Sigma[1,1] = 1.6\n Sigma[0,1] = eps\n \n \n u, v = np.linalg.eig(Sigma)\n l1 = -1.\n l2 = 2.\n cC = np.array((1, 1, 1,))*0.3\n\n ax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\n head_width=0.2, head_length=0.2, zorder=3)\n ax.arrow(0, 0, u[1]*v[0,1], u[1]*v[1,1], fc=clS[:,iep], ec='k', alpha =0.8, width=0.06,\n head_width=0.2, head_length=0.2, zorder=3)\n \n ax.text(0.8, -0.4, r'$\\lambda_1 \\bf{u}_1$', fontsize = 15)\n ax.text(1., 1.5, r'$\\lambda_2 \\bf{u}_2$', fontsize = 15)\n \n \n ax.set_xlim([l1, l2])\n ax.set_ylim([l1, l2])\n \n ax.axis('off')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.spines['left'].set_visible(False)\n ax.spines['bottom'].set_visible(False)\n \n plt.savefig('Th_FigS2_B.pdf')\n#%%\nSigma2 = np.zeros_like(Sigma)\nSigma2[:,:] = Sigma\n\n\nplt.rcParams[\"axes.grid\"] = False\nfig = plt.figure(figsize = [2.0, 2.0])\nax = fig.add_subplot(111) \nplt.imshow(Sigma2, cmap='OrRd', vmin = 0, vmax = 4)\nax.tick_params(color='white')\n\n\nfor i in range(np.shape(Sigma)[0]):\n for j in range(np.shape(Sigma)[1]):\n if i==1 and j==0:\n ax.text(i, j, ' ', va='center', ha='center', fontsize=16)\n else:\n ax.text(i, j, str(Sigma2[j,i]), va='center', ha='center', fontsize=16)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([0, 1])\nax.set_yticks([0, 1])\n\n\nax.set_xticklabels([r'$m_i^{\\left(1\\right)}$', r'$m_i^{\\left(2\\right)}$'], fontsize=14)\nax.set_yticklabels([r'$n_i^{\\left(1\\right)}$', r'$n_i^{\\left(2\\right)}$'], fontsize=14)\n\nplt.savefig('Th_FigS2_A1.pdf')\nplt.show()\n\n#%%\nfig = plt.figure(figsize = [2.0, 1.1])\nax = fig.add_subplot(111) \n\nclS = np.zeros((3, len(epss)))\n\ncl2 = np.array(( 225/256, 74/256, 51/256))\ncl1 = np.array(( 0.5, 0.5, 0.5))\n\nnL = len(epss)-1\nfor iep, eps in enumerate(epss[:-1]):\n cl11 = cl1* (nL-iep)/nL + cl2* (iep)/nL\n cl22 = cl1* (nL-iep-1)/nL + cl2* (iep+1)/nL\n \n int_points = 20\n ps = np.linspace(eps, epss[iep+1], 10)\n nP = len(ps)-1\n plt.scatter(eps, 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\n plt.scatter(epss[iep+1], 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\n \n for ip , p in enumerate(ps[:-1]):\n \n cc = cl11* (nP-ip)/nP + cl22* (ip)/nP\n \n plt.fill_between([p, ps[ip+1]], [0, 0], [1, 1], color=cc)\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n \nax.set_yticks([])\nax.set_xticks([0, 1, 2])\nax.set_xlabel('')\n\nax.set_xlim([-0.1,2.1])\nax.set_ylim([-0.05,1.4])\nax.plot([0,2], [1,1], c='k')\nax.plot([0,0], [0,1], c='k')\nax.plot([2,2], [0,1], c='k')\nax.plot([0,2], [0.0,0.0], c='k', zorder=2)\n\nplt.tight_layout()\nplt.savefig('Th_FigS2_A2.pdf')\nplt.show()"},{"alpha_fraction":0.5054020881652832,"alphanum_fraction":0.5895423293113708,"avg_line_length":30.041139602661133,"blob_id":"0d272f4688b9fe184a011f2245cd5a47376d734f","content_id":"87489c10de917a42028dbe0d6d4858c2dc952b7a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":19622,"license_type":"no_license","max_line_length":115,"num_lines":632,"path":"/C_Fig9.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 200\nnbins = 20\ns_mn1 = 0.5\ns_mn2 = 1.2\nm1 = np.random.randn(N)\nm1 = m1/np.std(m1)\nm2 = np.random.randn(N)\nm2 = m2/np.std(m2)\nms = np.linspace(-3, 3)\n\nn1 = s_mn1*m1+0.3*np.random.randn(N)\nn2 = s_mn2*m2+0.3*np.random.randn(N)\n\n\n#%%\n# =============================================================================\n# Fig 2\n# =============================================================================\nms = np.linspace(-5,5,100)\nSigma = np.zeros((3,3))\nSigma[0,0] = 1.2\nSigma[1,1] = 1.2\nSigma[2,2] = 1.6\nSigma[0,1] = -2.\nSigma[1,0] = 1.\nSigma[0,2] = 1.5\n\nvalN = 9\n\nBigSigma = np.zeros((6,6))\nBigSigma[0,0] = 1. #Sigma[0,0]\nBigSigma[1,1] = 1.#Sigma[1,1]\nBigSigma[2,2] = 1. #Sigma[2,2]\nBigSigma[3,3] = valN\nBigSigma[4,4] = valN\nBigSigma[5,5] = valN\n\nSigma2 = Sigma.T\n\n\nBigSigma[0,3] = Sigma2[0,0] #m1 - n1\nBigSigma[3,0] = Sigma2[0,0]\nBigSigma[0,4] = Sigma2[0,1] #m1 - n2\nBigSigma[4,0] = Sigma2[0,1]\nBigSigma[1,3] = Sigma2[1,0] #m2 - n1\nBigSigma[3,1] = Sigma2[1,0]\nBigSigma[1,4] = Sigma2[1,1] #m2 - n2\nBigSigma[4,1] = Sigma2[1,1]\nBigSigma[2,5] = Sigma2[2,2] #m3 - n3\nBigSigma[5,2] = Sigma2[2,2]\nBigSigma[2,3] = Sigma2[2,0] #m3 - n1\nBigSigma[3,2] = Sigma2[2,0]\nBigSigma[0,5] = Sigma2[0,2] #m1 - n3\nBigSigma[5,0] = Sigma2[0,2]\nBigSigma[1,5] = Sigma2[1,2] #m2 - n3\nBigSigma[5,1] = Sigma2[1,2]\nBigSigma[2,4] = Sigma2[2,1] #m3 - n2\nBigSigma[4,2] = Sigma2[2,1]\n\n\nmean = np.zeros(6)\n\nDat = np.random.multivariate_normal(mean, BigSigma, size=1000)\nM = Dat[:,0:3]\nN = Dat[:,3:].T\n\n\nS=10\n\nfig = plt.figure(figsize=[4.2, 4.2], dpi=450)\n\ngs = GridSpec(7,7)\n\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\nax_joint02 = fig.add_subplot(gs[1:3,4:6])\n\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\nax_joint12 = fig.add_subplot(gs[3:5,4:6])\n\nax_joint20 = fig.add_subplot(gs[5:7,0:2])\nax_joint21 = fig.add_subplot(gs[5:7,2:4])\nax_joint22 = fig.add_subplot(gs[5:7,4:6])\n\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\nax_marg_x2 = fig.add_subplot(gs[0,4:6])\n\nax_marg_y0 = fig.add_subplot(gs[1:3,6])\nax_marg_y1 = fig.add_subplot(gs[3:5,6])\nax_marg_y2 = fig.add_subplot(gs[5:7,6])\n\nmyl = -12\nmyl2 = 12\n\nax_joint00.scatter(M[:,0], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint00.plot(ms, Sigma[0,0]*ms, '--', c='k', lw=1)\nax_joint00.set_xlim([-3,3])\nax_joint00.set_xticks([-2., 0, 2.])\nax_joint00.set_xticklabels(['','',''])\nax_joint00.set_ylim([myl,myl2])\nax_joint00.set_yticks([-10, 0, 10])\nax_joint00.set_ylabel(r'$n^{\\left(1\\right)}_i$')\nax_joint00.spines['top'].set_visible(False)\nax_joint00.spines['right'].set_visible(False)\nax_joint00.yaxis.set_ticks_position('left')\nax_joint00.xaxis.set_ticks_position('bottom')\n \nax_joint01.scatter(M[:,1], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint01.plot(ms, Sigma[0,1]*ms, '--', c='k', lw=1)\nax_joint01.spines['top'].set_visible(False)\nax_joint01.spines['right'].set_visible(False)\nax_joint01.yaxis.set_ticks_position('left')\nax_joint01.xaxis.set_ticks_position('bottom')\nax_joint01.set_ylim([myl,myl2])\nax_joint01.set_yticks([-10, 0, 10])\nax_joint01.set_yticklabels(['','',''])\nax_joint01.set_xlim([-3,3])\nax_joint01.set_xticks([-2., 0, 2.])\nax_joint01.set_xticklabels(['','',''])\n\nax_joint02.scatter(M[:,2], N[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint02.plot(ms, Sigma[0,2]*ms, '--', c='k', lw=1)\nax_joint02.spines['top'].set_visible(False)\nax_joint02.spines['right'].set_visible(False)\nax_joint02.yaxis.set_ticks_position('left')\nax_joint02.xaxis.set_ticks_position('bottom')\nax_joint02.set_ylim([myl,myl2])\nax_joint02.set_yticks([-10, 0, 10])\nax_joint02.set_yticklabels(['','',''])\nax_joint02.set_xlim([-3,3])\nax_joint02.set_xticks([-2., 0, 2.])\n\nax_joint02.set_xticklabels(['','',''])\n\nax_joint10.scatter(M[:,0], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint10.plot(ms, Sigma[1,0]*ms, '--', c='k', lw=1)\nax_joint10.set_xlim([-3,3])\nax_joint10.spines['top'].set_visible(False)\nax_joint10.spines['right'].set_visible(False)\nax_joint10.yaxis.set_ticks_position('left')\nax_joint10.xaxis.set_ticks_position('bottom')\nax_joint10.set_ylim([myl,myl2])\nax_joint10.set_yticks([-10, 0, 10])\nax_joint10.set_xlim([-3,3])\nax_joint10.set_xticks([-2., 0, 2.])\nax_joint01.set_xticklabels(['','',''])\nax_joint10.set_ylabel(r'$n^{\\left(2\\right)}_i$')\n\nax_joint11.scatter(M[:,1], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint11.plot(ms, Sigma[1,1]*ms, '--', c='k', lw=1)\nax_joint11.set_xlim([-3,3])\nax_joint11.spines['top'].set_visible(False)\nax_joint11.spines['right'].set_visible(False)\nax_joint11.set_ylim([myl,myl2])\nax_joint11.set_yticks([-10, 0, 10])\nax_joint11.set_xticks([-2., 0, 2.])\nax_joint11.set_xlim([-3,3])\nax_joint11.set_yticklabels(['','',''])\nax_joint01.set_xticklabels(['','',''])\nax_joint11.yaxis.set_ticks_position('left')\nax_joint11.xaxis.set_ticks_position('bottom')\n\n\nax_joint12.scatter(M[:,2], N[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint12.plot(ms, Sigma[1,2]*ms, '--', c='k', lw=1)\nax_joint12.set_xlim([-3,3])\nax_joint12.spines['top'].set_visible(False)\nax_joint12.spines['right'].set_visible(False)\nax_joint12.set_ylim([myl,myl2])\nax_joint12.set_yticks([-10, 0, 10])\nax_joint12.set_xticks([-2., 0, 2.])\nax_joint12.set_xlim([-3,3])\nax_joint12.set_yticklabels(['','',''])\nax_joint01.set_xticklabels(['','',''])\nax_joint12.yaxis.set_ticks_position('left')\nax_joint12.xaxis.set_ticks_position('bottom')\n\nax_joint20.scatter(M[:,0], N[2,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint20.plot(ms, Sigma[2,0]*ms, '--', c='k', lw=1)\nax_joint20.set_xlim([-3,3])\nax_joint20.spines['top'].set_visible(False)\nax_joint20.spines['right'].set_visible(False)\nax_joint20.yaxis.set_ticks_position('left')\nax_joint20.xaxis.set_ticks_position('bottom')\nax_joint20.set_ylim([myl,myl2])\nax_joint20.set_yticks([-10, 0, 10])\nax_joint20.set_xlim([-3,3])\nax_joint20.set_xticks([-2., 0, 2.])\nax_joint20.set_ylabel(r'$n^{\\left(3\\right)}_i$')\nax_joint20.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n\nax_joint21.scatter(M[:,1], N[2,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint21.plot(ms, Sigma[2,1]*ms, '--', c='k', lw=1)\nax_joint21.set_xlim([-3,3])\nax_joint21.spines['top'].set_visible(False)\nax_joint21.spines['right'].set_visible(False)\nax_joint21.set_ylim([myl,myl2])\nax_joint21.set_yticks([-10, 0, 10])\nax_joint21.set_xticks([-2., 0, 2.])\nax_joint21.set_xlim([-3,3])\nax_joint21.set_yticklabels(['','',''])\nax_joint21.yaxis.set_ticks_position('left')\nax_joint21.xaxis.set_ticks_position('bottom')\nax_joint21.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n\nax_joint22.scatter(M[:,2], N[2,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint22.plot(ms, Sigma[2,2]*ms, '--', c='k', lw=1)\nax_joint22.set_xlim([-3,3])\nax_joint22.spines['top'].set_visible(False)\nax_joint22.spines['right'].set_visible(False)\nax_joint22.set_ylim([myl,myl2])\nax_joint22.set_yticks([-10, 0, 10])\nax_joint22.set_xticks([-2., 0, 2.])\nax_joint22.set_xlim([-3,3])\nax_joint22.set_yticklabels(['','',''])\nax_joint22.yaxis.set_ticks_position('left')\nax_joint22.xaxis.set_ticks_position('bottom')\nax_joint22.set_xlabel(r'$m^{\\left(3\\right)}_i$')\n\n\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\n\nax_marg_x0.spines['top'].set_visible(False)\nax_marg_x0.spines['right'].set_visible(False)\nax_marg_x0.spines['left'].set_visible(False)\nax_marg_x0.yaxis.set_ticks_position('left')\nax_marg_x0.xaxis.set_ticks_position('bottom')\nax_marg_x0.set_xlim([-3,3])\nax_marg_x0.set_xticks([-2., 0, 2.])\nax_marg_x0.set_ylim([0,0.45])\nax_marg_x0.set_xticklabels(['','',''])\nax_marg_x0.set_yticks([1])\n\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\nax_marg_x1.spines['top'].set_visible(False)\nax_marg_x1.spines['right'].set_visible(False)\nax_marg_x1.spines['left'].set_visible(False)\nax_marg_x1.yaxis.set_ticks_position('left')\nax_marg_x1.xaxis.set_ticks_position('bottom')\nax_marg_x1.set_xlim([-3,3])\nax_marg_x1.set_ylim([0,0.45])\nax_marg_x1.set_xticks([-2., 0, 2.])\nax_marg_x1.set_xticklabels(['','',''])\nax_marg_x1.set_yticks([1])\n\nax_marg_x2.hist(M[:,2], nbins, alpha=0.5, density=True)\nss = 1.\nax_marg_x2.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\nax_marg_x2.spines['top'].set_visible(False)\nax_marg_x2.spines['right'].set_visible(False)\nax_marg_x2.spines['left'].set_visible(False)\nax_marg_x2.yaxis.set_ticks_position('left')\nax_marg_x2.xaxis.set_ticks_position('bottom')\nax_marg_x2.set_xlim([-3,3])\nax_marg_x2.set_ylim([0,0.45])\nax_marg_x2.set_xticks([-2., 0, 2.])\nax_marg_x2.set_xticklabels(['','',''])\nax_marg_x2.set_yticks([1])\nss2 = 0\nms = np.linspace(-10,10,100)\nax_marg_y0.hist(N[0,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(valN)\nax_marg_y0.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y0.spines['top'].set_visible(False)\nax_marg_y0.spines['right'].set_visible(False)\nax_marg_y0.spines['bottom'].set_visible(False)\nax_marg_y0.yaxis.set_ticks_position('left')\nax_marg_y0.xaxis.set_ticks_position('bottom')\nax_marg_y0.set_ylim([myl,myl2])\nax_marg_y0.set_xlim([0,0.45])\nax_marg_y0.set_yticks([-10, 0, 10])\nax_marg_y0.set_yticklabels(['','',''])\nax_marg_y0.set_xticks([1])\nax_marg_y0.set_xticklabels([''])\n\nax_marg_y1.hist(N[1,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(valN)\nax_marg_y1.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y1.spines['top'].set_visible(False)\nax_marg_y1.spines['right'].set_visible(False)\nax_marg_y1.spines['bottom'].set_visible(False)\nax_marg_y1.yaxis.set_ticks_position('left')\nax_marg_y1.xaxis.set_ticks_position('bottom')\nax_marg_y1.set_ylim([myl,myl2])\nax_marg_y1.set_xlim([0,0.45])\nax_marg_y1.set_yticks([-10, 0, 10])\nax_marg_y1.set_yticklabels(['','',''])\nax_marg_y1.set_xticks([1])\nax_marg_y1.set_xticklabels([''])\n\nax_marg_y2.hist(N[1,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss = np.sqrt(valN)\nax_marg_y2.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\nax_marg_y2.spines['top'].set_visible(False)\nax_marg_y2.spines['right'].set_visible(False)\nax_marg_y2.spines['bottom'].set_visible(False)\nax_marg_y2.yaxis.set_ticks_position('left')\nax_marg_y2.xaxis.set_ticks_position('bottom')\nax_marg_y2.set_ylim([myl,myl2])\nax_marg_y2.set_xlim([0,0.45])\nax_marg_y2.set_yticks([-10, 0, 10])\nax_marg_y2.set_yticklabels(['','',''])\nax_marg_y2.set_xticks([1])\nax_marg_y2.set_xticklabels([''])\n\nplt.savefig('Th_Fig2_4__A.pdf')\n\n#%%\nplt.rcParams[\"axes.grid\"] = False\nfig = plt.figure(figsize = [3.0, 3.0])\nax = fig.add_subplot(111) \nplt.imshow(Sigma, cmap='coolwarm', vmin = -4, vmax = 4)\nSigma22 = np.zeros_like(Sigma)\nSigma22[np.abs(Sigma)>0]=np.nan\nplt.imshow(Sigma22, cmap='OrRd', vmin = 0, vmax = 4)\n\n\nax.tick_params(color='white')\n\n\nfor i in range(np.shape(Sigma)[0]):\n for j in range(np.shape(Sigma)[1]):\n ax.text(i, j, str(Sigma[j,i]), va='center', ha='center', fontsize=16)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([0, 1,2])\nax.set_yticks([0, 1,2])\n\n\nax.set_xticklabels([r'$m_i^{\\left(1\\right)}$', r'$m_i^{\\left(2\\right)}$', r'$m_i^{\\left(3\\right)}$' ], fontsize=14)\nax.set_yticklabels([r'$n_i^{\\left(1\\right)}$', r'$n_i^{\\left(2\\right)}$', r'$n_i^{\\left(3\\right)}$' ], fontsize=14)\n\nplt.savefig('Th_Fig2_4__B.pdf')\n\n#%%\nfig = plt.figure()\nfrom mpl_toolkits.mplot3d import Axes3D\nax = fig.add_subplot(111, projection='3d',azim=-42, elev=21)\n\n\nu, vv = np.linalg.eig(Sigma)\nvv = np.dot(vv, np.diag(u))\nl1 = -0.5\nl2 = 2.\ncC = np.array((1, 1, 1,))*0.3\n\nfrom matplotlib.patches import FancyArrowPatch\nfrom mpl_toolkits.mplot3d import proj3d\n\nclass Arrow3D(FancyArrowPatch):\n def __init__(self, xs, ys, zs, *args, **kwargs):\n FancyArrowPatch.__init__(self, (0,0), (0,0), *args, **kwargs)\n self._verts3d = xs, ys, zs\n\n def draw(self, renderer):\n xs3d, ys3d, zs3d = self._verts3d\n xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, renderer.M)\n self.set_positions((xs[0],ys[0]),(xs[1],ys[1]))\n FancyArrowPatch.draw(self, renderer)\n\n# mean values\nmean_x = 0\nmean_y = 0\nmean_z = 0\n\ncounter = 0\nfor v in vv[:,1:3].T:\n #ax.plot([mean_x,v[0]], [mean_y,v[1]], [mean_z,v[2]], color='red', alpha=0.8, lw=3)\n #I will replace this line with:\n v1 = np.real(v)\n v1 = v1/np.sqrt(np.sum(v1**2))\n if np.imag(u[counter])==0:\n v1 = v1*np.real(u[counter])\n \n a = Arrow3D([mean_x, v1[0]], [mean_y, v1[1]], \n [mean_z, v1[2]], mutation_scale=10, \n lw=2, arrowstyle=\"-|>\", color=cC)\n ax.add_artist(a)\n #ax.plot([0,v1[0]], [0,v1[1]], [0, v1[2]], 'C0')\n #ax.scatter(v1[0], v1[1], v1[2],s=100)\n if np.min(np.abs(v1))>0.:\n ax.plot([0,v1[0]], [0,v1[1]], [0, 0], 'k--', lw=0.5)\n ax.plot([v1[0],v1[0]], [v1[1],v1[1]], [0, v1[2]], 'k--', lw=0.5)\n print(v1)\n \n #ax.plot([v1[0], v1[1], 0], [v1[0], v1[1], v1[2]], '--k')\n \n v2 = np.imag(v)\n if np.sqrt(np.sum(v2**2))>0:\n print('hey')\n v2 = v2/np.sqrt(np.sum(v2**2))\n #v2 = v2*np.real(u[counter])\n print(v2)\n b = Arrow3D([mean_x, v2[0]], [mean_y, v2[1]], \n [mean_z, (v2[2])], mutation_scale=10, \n lw=2, arrowstyle=\"-|>\", color=cC)\n ax.add_artist(b)\n #ax.scatter(v2[0], v2[1], v2[2],s=100)\n if np.min(np.abs(v2))>0.:\n ax.plot([0,v2[0]], [0,v2[1]], [0, 0], 'k--')\n ax.plot([v2[0],v2[0]], [v2[1],v2[1]], [0, v2[2]], 'k--')\n #ax.plot([0,0,0], [v2[0], v2[1], v2[2]], 'C1')\n #print(v2)\n v1s = v1\n v2s = v2\n counter+=1\n \nxx, yy = np.meshgrid(np.linspace(-1.5, 1.5), np.linspace(-1.5, 1.5))\n\ncvs = np.cross(v1s, v2s)\n\nzz = 0*(1/cvs[2])*(-cvs[0]*xx-cvs[1]*yy)\n\nax.plot_surface(xx, yy, zz, alpha=0.2)\nax.set_xlabel('x_values')\nax.set_ylabel('y_values')\nax.set_zlabel('z_values')\n#ax.set_xlim([-0.5,0.5])\n#ax.set_ylim([-0.5,0.5])\n#ax.set_zlim([-0.5,1.])\nax.text(1.25, -0.6, 0., r'$ Re(\\bf{u}_2)$', fontsize = 12)\nax.text(-3., 0.2, 0.0, r'$Im(\\bf{u}_2)$', fontsize = 12)\n\nax.text(-1.9, 0.3, 0.5, r'$\\lambda_1 \\bf{u}_1$', fontsize = 12)\n\n\n\nax.axis('off')\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nplt.draw()\n\nplt.savefig('Th_Fig2_4__B1.pdf')\nplt.show()\n\n#%%\n#\nfig = plt.figure()\nax = fig.add_subplot(111, projection='3d',azim=-72, elev=7) \n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nax.set_zlabel('$\\kappa_3$')\n\n\n\n\nNn = 1000\n\n\nMu= np.zeros((6,1))\n\ninkap1 = np.linspace(-0.8, 0.8, 2)\ninkap2 = np.linspace(-0.8, 0.800, 2)\ninkap3 = np.linspace(-0.8, 0.800, 2)\n\n\ndt = 0.2\ntime = np.arange(0, 80, dt)\n\nins = np.array(([1,0,0],[1., 0, 0.2],[1., 0, -0.2]))\n\ncolors = np.zeros((3,3))\n\ncolors[1,:] = 0.6*(0.4+0.1*np.random.rand(3)-0.1)+0.4*np.array((1,0,0))\ncolors[0,:] = 0.4#0.8*(0.6+0.2*np.random.rand(3)-0.1)+np.array((1,0,0))\ncolors[2,:] = 0.6*(0.4+0.1*np.random.rand(3)-0.1)+0.4*np.array((0,0,1))\n\nfor trials in range(1):\n cC = 0.6+0.2*np.random.rand()-0.1\n \n cC2 = 0.1+0.2*np.random.rand()-0.1\n \n for rr in range(np.shape(ins)[0]):\n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n sk3 = np.zeros_like(time)\n \n \n sk1[0] = ins[rr,0]\n sk2[0] = ins[rr,1]\n sk3[0] = ins[rr,2]\n \n x0 = np.array((sk1[0], sk2[0], sk3[0]))\n print(sk3[0])\n for it, ti in enumerate(time[:-1]):\n \n x = x0 + dt*(-x0 + Prime(0, np.sum(x0**2))*np.dot(Sigma, x0))\n sk1[it+1] = x[0]\n sk2[it+1] = x[1]\n sk3[it+1] = x[2]\n \n x0 = x\n \n ax.plot(sk1, sk2, sk3, c=colors[rr,:])\n ax.scatter(sk1[0], sk2[0], sk3[0], s=10, facecolor=colors[rr,:], edgecolor=colors[rr,:], )\n if np.abs(sk3[-1])>0.1:\n ax.scatter(sk1[-1], sk2[-1], sk3[-1], s=50, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\n save = np.array((sk1[-1], sk2[-1], sk3[-1]))\n\nax.scatter(save[0], save[1], save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\nax.scatter(-save[0], -save[1], -save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\n \nax.set_xticks([-1, 0, 1])\nax.set_yticks([-0.5, 0.5])\nax.set_zticks([-0.5, 0, 0.5])\n\nax.dist=11\nplt.savefig('Th_Fig2_4__C.pdf') \n\n#%%\n#\nfig = plt.figure()\nax = fig.add_subplot(111, projection='3d',azim=-72, elev=7) \n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nax.set_zlabel('$\\kappa_3$')\n\nNn = 1000\n\n\nMu= np.zeros((6,1))\n\ninkap1 = np.linspace(-0.8, 0.8, 2)\ninkap2 = np.linspace(-0.8, 0.800, 2)\ninkap3 = np.linspace(-0.8, 0.800, 2)\n\n\ndt = 0.2\ntime = np.arange(0, 80, dt)\n\nfor trials in range(2):\n try_s0 = 100\n for tr in range(2000):\n XX = np.random.multivariate_normal(Mu[:,0], BigSigma, size=Nn)\n try_s = np.sum((np.dot(XX.T,XX)/1000-BigSigma)**2)\n if try_s < try_s0:\n #print(try_s)\n try_s0 = try_s\n XX_s = XX\n M = XX_s[:,0:3]\n N = XX_s[:,3:6]\n \n J = np.dot(M, N.T)/Nn\n \n cC = 0.6+0.2*np.random.rand()-0.1\n \n cC2 = 0.1+0.2*np.random.rand()-0.1\n \n for rr in range(np.shape(ins)[0]):\n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n sk3 = np.zeros_like(time)\n \n \n sk1[0] = ins[rr,0]\n sk2[0] = ins[rr,1]\n sk3[0] = ins[rr,2]\n \n \n \n x0 = ins[rr,0]*M[:,0] + ins[rr,1]*M[:,1]+ins[rr,2]*M[:,2]\n sk1[0] = np.mean(M[:,0]*x0)\n sk2[0] = np.mean(M[:,1]*x0)\n sk3[0] = np.mean(M[:,2]*x0)\n \n for it, ti in enumerate(time[:-1]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\n sk1[it+1] = np.mean(M[:,0]*x)\n sk2[it+1] = np.mean(M[:,1]*x)\n sk3[it+1] = np.mean(M[:,2]*x)\n \n x0 = x\n ax.plot(sk1, sk2, sk3, c=colors[rr,:])\n ax.scatter(sk1[0], sk2[0], sk3[0], s=10, facecolor=colors[rr,:])\n ax.scatter(sk1[-1], sk2[-1], sk3[-1], s=50, facecolor=colors[rr,:])\n \n \nax.scatter(save[0], save[1], save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\nax.scatter(-save[0], -save[1], -save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\n \nax.set_xticks([-1, 0, 1])\nax.set_yticks([-0.5, 0.5])\nax.set_zticks([-0.5, 0, 0.5])\n\n\nax.dist=11\nplt.savefig('Th_Fig2_4__D.pdf') \n# \n"},{"alpha_fraction":0.5573328137397766,"alphanum_fraction":0.6126583814620972,"avg_line_length":31.008031845092773,"blob_id":"5dbfcfcee158be559db423e4dfc413ab7dad8fb3","content_id":"96cbaa6ce7a3f10b0a73b43efc476a6acf633792","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":15942,"license_type":"no_license","max_line_length":131,"num_lines":498,"path":"/C_Fig1B.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n\n#%%\n# =============================================================================\n# Fig 2\n# =============================================================================\nms = np.linspace(-8,8,300)\n\nMuMs = np.zeros((2,2))\nMuNs = np.zeros((2,2))\n\nSigma = np.zeros((2,2,2))+1e-10\nSigma[0,0,0] = 1.2\nSigma[1,1,0] = -1#1.6\nSigma[1,0,0] = 0.5\nSigma[0,1,0] = -0.5\n\n\nMuMs[0,0] = 0.5#1.\nMuMs[1,0] = -0.5#1.\nMuNs[0,0] = 1.5\nMuNs[1,0] = 3.\n\n\nSigma[0,0,1] = -0.3\nSigma[1,1,1] = 1.\nSigma[0,1,1] = 1.2\nSigma[1,1,1] = 0.8\n\nMuMs[0,1] = -0.5#0.5\nMuMs[1,1] = 0.5#-0.8\nMuNs[0,1] = -1.5#1.\nMuNs[1,1] = -3#-1.\n#\nfig = plt.figure(figsize=[3.2, 3.2], dpi=450)\ngs = GridSpec(5,5)\n\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\n\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\n\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\n\npops = 2\nNs = 100\nM = np.random.randn(Ns*pops,2)\nN = np.random.randn(2,Ns*pops)\npops=2\nBigSigma = np.zeros((4,4, pops))\nfor ip in range(pops):\n \n S=10\n \n M = M/np.std(M,0)\n ss2 = 0.3\n \n BigSigma[0,0,ip] = 1.-np.mean(MuMs[0, :]**2)\n BigSigma[1,1,ip] = 1.-np.mean(MuMs[1, :]**2)\n \n BigSigma[0,2,ip] = Sigma[0,0,ip]\n BigSigma[0,3,ip] = Sigma[0,1,ip]\n BigSigma[2,0,ip] = Sigma[0,0,ip]\n BigSigma[3,0,ip] = Sigma[0,1,ip]\n \n BigSigma[1,2,ip] = Sigma[1,0, ip]\n BigSigma[1,3,ip] = Sigma[1,1, ip]\n BigSigma[2,1,ip] = Sigma[1,0, ip]\n BigSigma[3,1,ip] = Sigma[1,1, ip]\n \n BigSigma[2,2,ip] = 1.\n BigSigma[3,3,ip] = 1.\n \n sol = np.min(np.real(np.linalg.eigvalsh(BigSigma[:,:,ip])))\n \n \n while sol<0:\n BigSigma[2,2] *= 1.01\n BigSigma[3,3] *= 1.01\n sol = np.min(np.real(np.linalg.eigvals(BigSigma[:,:,ip])))\n BigMean = 0*np.hstack((MuMs[:,ip], MuNs[:,ip]))\n \n err0 = 100.\n Dat = np.random.multivariate_normal(BigMean, BigSigma[:,:,ip], Ns)\n DatS = Dat\n for trials in range(200):\n Dat = np.random.multivariate_normal(BigMean, BigSigma[:,:,ip], Ns)\n err1 = np.std(np.cov(Dat.T)-BigSigma[:,:,ip])\n if err1<err0:\n print(err1)\n err0 = err1\n DatS = Dat\n \n Dat = DatS\n BigMean = np.hstack((MuMs[:,ip], MuNs[:,ip]))\n for i in range(4):\n Dat[:,i] = Dat[:,i]+BigMean[i]-np.mean(Dat[:,i])\n \n \n M[ip*Ns:(ip+1)*Ns,0] = Dat[:,0]\n M[ip*Ns:(ip+1)*Ns,1] = Dat[:,1]\n \n N[0,ip*Ns:(ip+1)*Ns] = Dat[:,2]\n N[1,ip*Ns:(ip+1)*Ns] = Dat[:,3]\n\n\nssiz = 30\n\ncolor1 = np.array((31, 127, 17))/256\ncolor2 = np.array((129, 34, 141))/256\nclrs = np.zeros((3,2))\nclrs[:,0] = color1\nclrs[:,1] = color2\npops=2\n\nnbins=20\nfor ip in range(pops):\n ax_joint00.scatter(M[ip*Ns:(ip+1)*Ns,0], N[0,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip], alpha=0.5, rasterized=True)\n ax_joint00.plot(ms, np.sqrt(BigSigma[2,2,ip]/BigSigma[0,0,ip])*Sigma[0,0,ip]*(ms- MuMs[0,ip]) +MuNs[0,ip], '--', c='k', lw=0.5)\n ax_joint00.scatter( MuMs[0,ip], +MuNs[0,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\n \n ax_joint00.set_xlim([-4.5,4.5])\n ax_joint00.set_xticks([-4., 0, 4.])\n ax_joint00.set_xticklabels(['','',''])\n ax_joint00.set_ylim([-6.5,6.5])\n ax_joint00.set_yticks([-6, 0, 6])\n ax_joint00.set_ylabel(r'$n^{\\left(1\\right)}_i$')\n ax_joint00.spines['top'].set_visible(False)\n ax_joint00.spines['right'].set_visible(False)\n ax_joint00.yaxis.set_ticks_position('left')\n ax_joint00.xaxis.set_ticks_position('bottom')\n \n ax_joint01.scatter(M[ip*Ns:(ip+1)*Ns,1], N[0,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip],alpha=0.5, rasterized=True)\n ax_joint01.plot(ms, np.sqrt(BigSigma[2,2,ip]/BigSigma[1,1,ip])*Sigma[1,0,ip]*(ms- MuMs[1,ip]) +MuNs[0,ip], '--', c='k', lw=0.5)\n ax_joint01.scatter( MuMs[1,ip], +MuNs[0,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\n ax_joint01.spines['top'].set_visible(False)\n ax_joint01.spines['right'].set_visible(False)\n ax_joint01.yaxis.set_ticks_position('left')\n ax_joint01.xaxis.set_ticks_position('bottom')\n ax_joint01.set_ylim([-6.5,6.5])\n ax_joint01.set_yticks([-6, 0, 6])\n ax_joint01.set_yticklabels(['','',''])\n ax_joint01.set_xlim([-4.5,4.5])\n ax_joint01.set_xticks([-4., 0, 4.])\n ax_joint01.set_xticklabels(['','',''])\n \n ax_joint10.scatter(M[ip*Ns:(ip+1)*Ns,0], N[1,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip],alpha=0.5, rasterized=True)\n ax_joint10.plot(ms, np.sqrt(BigSigma[3,3,ip]/BigSigma[0,0,ip])*Sigma[0,1,ip]*(ms- MuMs[0,ip]) +MuNs[1,ip], '--', c='k', lw=0.5)\n ax_joint10.scatter( MuMs[0,ip], +MuNs[1,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\n ax_joint10.spines['top'].set_visible(False)\n ax_joint10.spines['right'].set_visible(False)\n ax_joint10.yaxis.set_ticks_position('left')\n ax_joint10.xaxis.set_ticks_position('bottom')\n ax_joint10.set_ylim([-6.5,6.5])\n ax_joint10.set_yticks([-6, 0, 6])\n ax_joint10.set_xlim([-4.5,4.5])\n ax_joint10.set_xticks([-4., 0, 4.])\n\n ax_joint10.set_ylabel(r'$n^{\\left(2\\right)}_i$')\n ax_joint10.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n \n ax_joint11.scatter(M[ip*Ns:(ip+1)*Ns,1], N[1,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip],alpha=0.5, rasterized=True)\n ax_joint11.plot(ms, np.sqrt(BigSigma[3,3,ip]/BigSigma[1,1,ip])*Sigma[1,1,ip]*(ms- MuMs[1,ip]) +MuNs[1,ip], '--', c='k', lw=0.5)\n ax_joint11.scatter( MuMs[1,ip], +MuNs[1,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\n ax_joint11.spines['top'].set_visible(False)\n ax_joint11.spines['right'].set_visible(False)\n ax_joint11.set_ylim([-6.5,6.5])\n ax_joint11.set_yticks([-6, 0, 6])\n ax_joint11.set_xlim([-4.5,4.5])\n ax_joint11.set_xticks([-4., 0, 4.])\n \n ax_joint11.set_yticklabels(['','',''])\n ax_joint11.yaxis.set_ticks_position('left')\n ax_joint11.xaxis.set_ticks_position('bottom')\n ax_joint11.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n \n ax_marg_x0.hist(M[ip*Ns:(ip+1)*Ns,0], nbins, color = clrs[:,ip], alpha=0.5, density=True)\n ss = BigSigma[0,0,ip]\n ax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss))*np.exp(-(ms- MuMs[0,ip])**2/(2*ss)), color = clrs[:,ip],lw=0.5)\n \n ax_marg_x0.spines['top'].set_visible(False)\n ax_marg_x0.spines['right'].set_visible(False)\n ax_marg_x0.spines['left'].set_visible(False)\n ax_marg_x0.yaxis.set_ticks_position('left')\n ax_marg_x0.xaxis.set_ticks_position('bottom')\n ax_marg_x0.set_xlim([-4.5,4.5])\n ax_marg_x0.set_ylim([0,0.6])\n ax_marg_x0.set_xticks([-4., 0, 4.])\n ax_marg_x0.set_xticklabels(['','',''])\n ax_marg_x0.set_yticks([1])\n\n\n ax_marg_x1.hist(M[ip*Ns:(ip+1)*Ns,1], nbins,color = clrs[:,ip], alpha=0.5, density=True)\n ss = BigSigma[1,1,ip]\n ax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss))*np.exp(-(ms- MuMs[1,ip])**2/(2*ss)), color = clrs[:,ip],lw=0.5)\n ax_marg_x1.spines['top'].set_visible(False)\n ax_marg_x1.spines['right'].set_visible(False)\n ax_marg_x1.spines['left'].set_visible(False)\n ax_marg_x1.yaxis.set_ticks_position('left')\n ax_marg_x1.xaxis.set_ticks_position('bottom')\n ax_marg_x1.set_xlim([-4.5,4.5])\n ax_marg_x1.set_ylim([0,0.6])\n ax_marg_x1.set_xticks([-4., 0, 4.])\n ax_marg_x1.set_xticklabels(['','',''])\n ax_marg_x1.set_yticks([1])\n\n\n ax_marg_y0.hist(N[0,ip*Ns:(ip+1)*Ns], nbins, orientation=\"horizontal\", color = clrs[:,ip], alpha=0.5, density=True)\n ss = BigSigma[2,2,ip]\n ax_marg_y0.plot((1/np.sqrt(2*np.pi*ss))*np.exp(-(ms-MuNs[0,ip])**2/(2*ss)), ms, color = clrs[:,ip],lw=0.5)\n ax_marg_y0.spines['top'].set_visible(False)\n ax_marg_y0.spines['right'].set_visible(False)\n ax_marg_y0.spines['bottom'].set_visible(False)\n ax_marg_y0.yaxis.set_ticks_position('left')\n ax_marg_y0.xaxis.set_ticks_position('bottom')\n ax_marg_y0.set_ylim([-6.5,6.5])\n ax_marg_y0.set_xlim([0,0.45])\n ax_marg_y0.set_yticks([-6., 0, 6.])\n ax_marg_y0.set_yticklabels(['','',''])\n ax_marg_y0.set_xticks([1])\n ax_marg_y0.set_xticklabels([''])\n\n ax_marg_y1.hist(N[1,ip*Ns:(ip+1)*Ns], nbins, orientation=\"horizontal\", color = clrs[:,ip], alpha=0.5, density=True)\n ss = BigSigma[3,3,ip]\n ax_marg_y1.plot((1/np.sqrt(2*np.pi*ss))*np.exp(-(ms-MuNs[1,ip])**2/(2*ss)), ms, color = clrs[:,ip],lw=0.5)\n ax_marg_y1.spines['top'].set_visible(False)\n ax_marg_y1.spines['right'].set_visible(False)\n ax_marg_y1.spines['bottom'].set_visible(False)\n ax_marg_y1.yaxis.set_ticks_position('left')\n ax_marg_y1.xaxis.set_ticks_position('bottom')\n ax_marg_y1.set_ylim([-6.5,6.5])\n ax_marg_y1.set_xlim([0,0.45])\n ax_marg_y1.set_yticks([-6., 0, 6.])\n ax_marg_y1.set_yticklabels(['','',''])\n ax_marg_y1.set_xticks([1])\n ax_marg_y1.set_xticklabels([''])\n\nplt.savefig('Th_Fig0_A.pdf')\n\n#%%\nNneurs = 6\n\nMadap = M[0:Nneurs*2,:]\nMadap[Nneurs:,:] = M[-Nneurs:,:]\n\nNadap = N[:,0:Nneurs*2]\nNadap[:,Nneurs:] = N[:, -Nneurs:]\nJ = np.dot(Madap, Nadap)/(Ns*pops)\nplt.rcParams[\"axes.grid\"] = False\nfig = plt.figure(figsize = [2.0, 2.0])\nax = fig.add_subplot(111) \n\nplt.imshow(J, cmap='coolwarm', vmin = -0.12, vmax = 0.12)\nJ22 = np.zeros_like(J)\nJ22[np.abs(J)>0]=np.nan\nplt.imshow(J22, cmap='OrRd', vmin = 0, vmax = 0.12)\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\n\nplt.savefig('Th_Fig0_B_1.pdf')\n#%%\nfor ip in range(pops):\n fig = plt.figure(figsize = [0.2, 2.0])\n ax = fig.add_subplot(111) \n Madap1 = np.copy(Madap[:,ip,None])\n Madap2 = np.copy(Madap[:,ip,None])\n Madap1[Nneurs:,:] = np.nan\n Madap2[0:Nneurs,:] = np.nan\n Nadap1 = np.copy(Nadap[None,ip,:])\n Nadap2 = np.copy(Nadap[None,ip,:])\n Nadap1[:,Nneurs:] = np.nan\n Nadap2[:,0:Nneurs] = np.nan\n plt.imshow(Madap1, cmap='Greens')\n plt.imshow(Madap2, cmap='Purples')\n \n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.spines['left'].set_visible(False)\n ax.spines['bottom'].set_visible(False)\n ax.yaxis.set_ticks_position('right')\n ax.xaxis.set_ticks_position('top') \n ax.set_xticks([])\n ax.set_yticks([])\n plt.savefig('Th_Fig0_B_m'+str(ip+1)+'.pdf')\n \n fig = plt.figure(figsize = [2.0, 0.2])\n ax = fig.add_subplot(111) \n plt.imshow(Nadap1, cmap='Greens')\n plt.imshow(Nadap2, cmap='Purples')\n \n \n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.spines['left'].set_visible(False)\n ax.spines['bottom'].set_visible(False)\n ax.yaxis.set_ticks_position('right')\n ax.xaxis.set_ticks_position('top') \n ax.set_xticks([])\n ax.set_yticks([])\n plt.savefig('Th_Fig0_B_n'+str(ip+1)+'.pdf')\n\n#%%\n\n#%%\n\nfig = plt.figure(figsize = [ 2.0, 0.2])\nax = fig.add_subplot(111) \nMadap1 = np.copy(Madap[:,:])\nMadap2 = np.copy(Madap[:,:])\n\nMadap1[Nneurs:,:] = np.nan\nMadap2[0:Nneurs,:] = np.nan\nNadap1 = np.copy(Nadap)\nNadap2 = np.copy(Nadap)\nNadap1[:,Nneurs:] = np.nan\nNadap2[:,0:Nneurs] = np.nan\nplt.imshow(Madap1.T, cmap='Greens')\nplt.imshow(Madap2.T, cmap='Purples')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_C_m.pdf')\n\nfig = plt.figure(figsize = [0.2, 2.0])\nax = fig.add_subplot(111) \nplt.imshow(Nadap1.T, cmap='Greens')\nplt.imshow(Nadap2.T, cmap='Purples')\n\n \nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_C_n.pdf')\n\n\n#%%\n\nfig = plt.figure(figsize = [ 2.0, 0.2])\nax = fig.add_subplot(111) \nMadap1 = np.copy(Madap[:,:])\nMadap2 = np.copy(Madap[:,:])\n\nMadap1[Nneurs:,:] = np.nan\nMadap2[0:Nneurs,:] = np.nan\nNadap1 = np.copy(Nadap)\nNadap2 = np.copy(Nadap)\nNadap1[:,Nneurs:] = np.nan\nNadap2[:,0:Nneurs] = np.nan\nplt.imshow(Madap1.T, cmap='Greens')\nplt.imshow(Madap2.T, cmap='Purples')\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_C_m.pdf')\n#%%\nfig = plt.figure(figsize = [1., 2.0])\nax = fig.add_subplot(111) \nMadap1 = MuMs[:,0,None]\n\nplt.imshow(Madap1, cmap='Greens', vmin = -4, vmax=4)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_D_pop1_am.pdf')\n\nfig = plt.figure(figsize = [1,2.])\nax = fig.add_subplot(111) \nMadap1 = MuMs[:,1,None]\n\nplt.imshow(Madap1, cmap='Purples', vmin = -4, vmax=4)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_D_pop2_am.pdf')\n\nfig = plt.figure(figsize = [2.0,1.])\nax = fig.add_subplot(111) \nMadap1 = MuNs[:,0,None]\nplt.imshow(Madap1.T, cmap='Greens', vmin = -4, vmax=4)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_D_pop1_an.pdf')\n\nfig = plt.figure(figsize = [ 2.0, 1.])\nax = fig.add_subplot(111) \nMadap1 = MuNs[:,1,None]\n\nplt.imshow(Madap1.T, cmap='Purples', vmin = -4, vmax=4)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_D_pop2_an.pdf')\n\n#%%\nfig = plt.figure(figsize = [2., 2.0])\nax = fig.add_subplot(111) \nMadap1 = Sigma[:,:,0]\n\nplt.imshow(Madap1, cmap='Greens', vmin = -4, vmax=4)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_D_pop1_sigmas.pdf')\n\n#%%\nfig = plt.figure(figsize = [2., 2.0])\nax = fig.add_subplot(111) \nMadap1 = Sigma[:,:,1]\n\nplt.imshow(Madap1, cmap='Purples', vmin = -4, vmax=4)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([])\nax.set_yticks([])\nplt.savefig('Th_Fig0_D_pop2_sigmas.pdf')\n\n\n"},{"alpha_fraction":0.49165141582489014,"alphanum_fraction":0.5628568530082703,"avg_line_length":27.922119140625,"blob_id":"4c223f88478dcfb15460bb43aeb6663377af0fce","content_id":"1d5ea3140ff2cfb7c3d05105471548bcd9ff54f6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":9283,"license_type":"no_license","max_line_length":134,"num_lines":321,"path":"/C_Fig8_DEF.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Wed Oct 7 11:01:38 2020\n\n@author: mbeiran\n\"\"\"\n\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Trip (mu, delta0):\n integrand = 2*(np.cosh(2*(mu+np.sqrt(delta0)*gauss_points))-2 )/np.cosh(mu+np.sqrt(delta0)*gauss_points)**4\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n\n#%%\n\nepss = np.linspace(1., 3, 7)#np.array((0, 0.1, 0.2, 0.4, 0.6, 1.0, 2.0))\n#epss = np.linspace(0., 2, 7)#np.array((0, 0.1, 0.2, 0.4, 0.6, 1.0, 2.0))\n\nfp1s = np.zeros_like(epss)\nfp2s = np.zeros_like(epss)\nus = np.zeros((2,len(epss)))*1j\nvs = np.zeros((2,2,len(epss)))*1j\n\nclS = np.zeros((3, len(epss)))\n\ncl2 = np.array(( 225/256, 74/256, 51/256))\ncl1 = np.array(( 0.5, 0.5, 0.5))\n\nnL = len(epss)-1\nfor iep, eps in enumerate(epss):\n clS[:,iep] = cl1* (nL-iep)/nL + cl2* (iep)/nL\n#%%\ndt = 0.05\nT = 40\ntime = np.arange(0, T, dt)\ntraj1s = np.zeros((2,len(time), len(epss)))\ntraj2s = np.zeros((2,len(time), len(epss)))\n\n\nfor iep, eps in enumerate(epss):\n ms = np.linspace(-5,5,100)\n Sigma = np.zeros((2,2))\n Sigma[0,0] = 1.4\n Sigma[1,1] = 1.4\n Sigma[0,1] = 1.*eps\n Sigma[1,0] = -1./eps\n \n# Sigma[0,0] = 2+eps\n# Sigma[1,1] = 2-eps\n# Sigma[0,1] = 1.\n# Sigma[1,0] = -(eps**2+1)\n \n u, v = np.linalg.eig(Sigma)\n us[:,iep] = u\n vs[:,:,iep] = v\n \n l1 = -0.5\n l2 = 2.\n cC = np.array((1, 1, 1,))*0.3\n\n \n kaps1 = np.linspace(-1.3,1.3, 130)\n kaps2 = np.linspace(-1.3,1.3, 100)\n ksol = np.zeros((len(kaps1), len(kaps2), 2))\n \n K1s, K2s = np.meshgrid(kaps1, kaps2)\n def transf(K):\n return(K*Prime(0, np.dot(K.T, K)))\n \n E = np.zeros((len(kaps1), len(kaps2)))\n for ik1 ,k1 in enumerate(kaps1):\n for ik2, k2 in enumerate(kaps2):\n K = np.array((k1, k2))\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\n\n time1 = np.arange(0, 10, dt)\n traj1 = np.zeros((2,len(time)))\n traj1[:,0] = np.array((0.5,0.5))\n \n for it, ti in enumerate(time[:-1]):\n traj1[:,it+1] = traj1[:,it] + dt*(-traj1[:,it] + np.dot(Sigma,transf(traj1[:,it])))\n A = traj1[:,it+1]\n traj1 = np.zeros((2,len(time)))\n traj2 = np.zeros((2,len(time)))\n traj1[:,0] = A\n \n for it, ti in enumerate(time[:-1]):\n traj1[:,it+1] = traj1[:,it] + dt*(-traj1[:,it] + np.dot(Sigma,transf(traj1[:,it])))\n \n traj1s[:,:,iep] = traj1\n\n \n fig = plt.figure()\n ax = fig.add_subplot(111) \n im = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading= 'auto')\n \n\n strm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color=[0.4, 0.4, 0.4], linewidth=0.8, cmap='autumn', density=0.6)\n plt.xlabel('$\\kappa_1$')\n plt.ylabel('$\\kappa_2$')\n plt.scatter([ 0, ], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4) \n plt.plot(traj1[0,:], traj1[1,:], color=clS[:,iep], lw=2.)\n ax.set_xticks([-1, 0, 1])\n ax.set_yticks([-1, 0, 1])\n ax.set_ylim([np.min(kaps2), np.max(kaps2)])\n ax.set_xlim([np.min(kaps1), np.max(kaps1)])\n plt.savefig('Th_FigS3_2_C_'+str(eps)+'_1.pdf')\n\n#%%\nfig = plt.figure(figsize = [1.5*2.2 , 1.*2.])\nax = fig.add_subplot(111) \nfreq = np.zeros_like(time)\npers = np.zeros_like(epss)\nfor iep, eps in enumerate(epss):\n #plt.plot(time, np.arctan2(traj1s[0,:,iep],traj1s[1,:,iep]), color=clS[:,iep])\n plt.plot(time, traj1s[1,:,iep], color=clS[:,iep])\n freq = 2*(traj1s[0,:,iep]>0)-1\n time_m1 = time[:-1]\n pers[iep] = 2*np.mean(np.diff(time_m1[np.abs(np.diff(freq))>0]))\nprint(pers)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.set_yticks([-1, 0, 1])\nax.set_xticks([0, 10, 20, 30])\nax.set_xlim([0, 32])\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.ylabel('$\\kappa_2$')\nplt.xlabel(r'time ($\\tau$)')\nplt.savefig('Th_FigS3_2_C_2.pdf')\n#%%\n\nfig = plt.figure()\nax = fig.add_subplot(111) \nfor iep, eps in enumerate(epss):\n fp1 = fp1s[iep]\n fp2 = fp2s[iep]\n u = us[:,iep]\n v = vs[:,:,iep]\n \n plt.scatter([ 0, ], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4) \n plt.plot(traj1s[0,:,iep], traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\n plt.plot(-traj1s[0,:,iep], -traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\n \n plt.plot(traj2s[0,:,iep], traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\n plt.plot(-traj2s[0,:,iep], -traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\n \nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.set_xticks([-1, 0, 1])\nax.set_yticks([-1, 0, 1])\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.savefig('Th_FigS3_C.pdf')\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nl1 = -0.5\nl2 = 1.2\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\nplt.plot( [0,0],[l1, l2], 'k', lw=0.5)\n\nR = 1.13\ntheta= np.linspace(0,2*np.pi)\nplt.plot(R*np.cos(theta), R*np.sin(theta), color='k', lw=0.6)\nplt.plot()\nepss2 = epss[::-1]\nclS2 = clS[:,::-1]\nfor iep, eps in enumerate(epss):\n Sigma[0,0] = 1.4\n Sigma[1,1] = 1.4\n Sigma[0,1] = 1.*eps\n Sigma[1,0] = -1./eps\n \n u, v = np.linalg.eig(Sigma)\n v1 = np.real(v[:,0])\n fac = np.sqrt(np.sum(v1**2))\n v1 = v1/fac\n print(v1)\n print(v2)\n print('--')\n \n v2 = -np.imag(v[:,1])/fac\n\n cC = np.array((1, 1, 1,))*0.3\n\n ax.arrow(0, 0, v1[0], v1[1], fc=cC, ec='k', alpha =0.8, width=0.04,\n head_width=0.13, head_length=0.13, zorder=3)\n ax.arrow(0, 0, v2[0], v2[1], fc=clS[:,iep], ec='k', alpha =0.8, width=0.04,\n head_width=0.13, head_length=0.13, zorder=3)\n \n# ax.text(0.8, -0.4, r'Re$(\\bf{u})$', fontsize = 12)\n# ax.text(0.2, 1.2, r'Im$(\\bf{u})$', fontsize = 12)\n \n ax.text(0.5, -0.2, r'Re$( \\bf{u})$', fontsize = 15)\n ax.text(0.1, 0.8, r'Im$( \\bf{u})$', fontsize = 15) \n ax.set_xlim([l1, l2])\n ax.set_ylim([l1, l2])\n \n ax.axis('off')\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.spines['left'].set_visible(False)\n ax.spines['bottom'].set_visible(False)\n \n plt.savefig('Th_FigS3_B.pdf')\n\n \n#%%\nSigma2 = np.zeros_like(Sigma)\nSigma2[:,:] = Sigma\nSigma3 = np.zeros_like(Sigma)*np.nan\nSigma3[1,0] = Sigma[1,0]\n\nSigma2[1, 0] = np.nan\n\nplt.rcParams[\"axes.grid\"] = False\nfig = plt.figure(figsize = [2.0, 2.0])\nax = fig.add_subplot(111) \nplt.imshow(Sigma2, cmap='OrRd', vmin = 0, vmax = 7)\nplt.imshow(Sigma3, cmap='PuBu', vmin = -0.7, vmax = 0)\n\nax.tick_params(color='white')\n\n\nfor i in range(np.shape(Sigma)[0]):\n for j in range(np.shape(Sigma)[1]):\n if i==1 and j==0:\n ax.text(i, j, ' ', va='center', ha='center', fontsize=16)\n elif i==0 and j==1:\n ax.text(i, j, ' ', va='center', ha='center', fontsize=16)\n \n else:\n ax.text(i, j, str(Sigma2[j,i]), va='center', ha='center', fontsize=16)\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n\nax.yaxis.set_ticks_position('right')\nax.xaxis.set_ticks_position('top') \nax.set_xticks([0, 1])\nax.set_yticks([0, 1])\n\n\nax.set_xticklabels([r'$m_i^{\\left(1\\right)}$', r'$m_i^{\\left(2\\right)}$'], fontsize=14)\nax.set_yticklabels([r'$n_i^{\\left(1\\right)}$', r'$n_i^{\\left(2\\right)}$'], fontsize=14)\n\nplt.savefig('Th_FigS3_A1.pdf')\nplt.show()\n\n\n#%%\nfig = plt.figure(figsize = [2.0, 1.1])\nax = fig.add_subplot(111) \n\nclS = np.zeros((3, len(epss)))\n\ncl2 = np.array(( 225/256, 74/256, 51/256))\ncl1 = np.array(( 0.5, 0.5, 0.5))\n\nnL = len(epss)-1\nfor iep, eps in enumerate(epss[:-1]):\n cl11 = cl1* (nL-iep)/nL + cl2* (iep)/nL\n cl22 = cl1* (nL-iep-1)/nL + cl2* (iep+1)/nL\n \n int_points = 20\n ps = np.linspace(eps, epss[iep+1], 10)\n nP = len(ps)-1\n plt.scatter(eps, 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\n plt.scatter(epss[iep+1], 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\n \n for ip , p in enumerate(ps[:-1]):\n \n cc = cl11* (nP-ip)/nP + cl22* (ip)/nP\n \n plt.fill_between([p, ps[ip+1]], [0, 0], [1, 1], color=cc)\n\nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.spines['left'].set_visible(False)\nax.spines['bottom'].set_visible(False)\n \nax.set_yticks([])\nax.set_xticks([1, 2, 3])\nax.set_xlabel('')\n\nax.set_xlim([0.9,3.1])\nax.set_ylim([-0.05,1.4])\nax.plot([1,3], [1,1], c='k')\nax.plot([1,1], [0,1], c='k')\nax.plot([3,3], [0,1], c='k')\nax.plot([1,3], [0.0,0.0], c='k', zorder=2)\n\nplt.tight_layout()\nplt.savefig('Th_FigS3_A2.pdf')\nplt.show()"},{"alpha_fraction":0.7658349275588989,"alphanum_fraction":0.781190037727356,"avg_line_length":85.83333587646484,"blob_id":"071db5e2c58114d6f125288b6e6b7e9957b9b8b1","content_id":"f7d4a179091434ec5004260810893c7a5dbd0fbc","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":521,"license_type":"no_license","max_line_length":272,"num_lines":6,"path":"/README.md","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"# low-rank2020\nThese are the codes for the paper \"Shaping dynamics with multiple populations in low-rank recurrent networks\".\n\nAll figures of the publication can be reproduced by running the respective script. They take only a few seconds to run.\n\nFigure 7 includes some summary statistics (panels B, C and D) that take longer to run (~1h). The file \"C_Fig7_allpanels.py\" plots those panels based on a saved file (also provided). The file \"C_Fig7_ABCD.py\", which takes longer to run, calculates those summary statistics.\n"},{"alpha_fraction":0.48621466755867004,"alphanum_fraction":0.5631593465805054,"avg_line_length":32.36854553222656,"blob_id":"7ea9a192c799ae18b24afa543ddc89a9ba5d743a","content_id":"98e971ee575529b467cd667c5a0f44aa98eb6525","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":14218,"license_type":"no_license","max_line_length":148,"num_lines":426,"path":"/C_Fig6_ABC.py","repo_name":"emebeiran/low-rank2020","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Mar 30 10:49:59 2020\n\n@author: mbeiran\n\"\"\"\n#%%\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport lib_rnns as lr\nfrom matplotlib.gridspec import GridSpec\naa = lr.set_plot()\n\n\n \ngaussian_norm = (1/np.sqrt(np.pi))\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\ngauss_points = gauss_points*np.sqrt(2)\n\ndef Phi (mu, delta0):\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\n return gaussian_norm * np.dot (integrand,gauss_weights)\ndef Prime (mu, delta0):\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\n return gaussian_norm * np.dot (integrand,gauss_weights)\n\n#%%\nN = 400\nnbins = 20\n\n\ns_mn1 = 0*np.array((0.5, 0.5, 0.5, 0.5))\ns_mn2 = 0*np.array((0.5, 0.5, 0.5, 0.5))\n\nval = 0.5#np.sqrt(1-0.5**2)\n\npops = 1\nolap = 2.\n\na_m1 = np.sqrt(1-val**2)*np.array((1., -1., 1., -1.))\na_m2 = np.sqrt(1-val**2)*np.array((1., 1., -1., -1.))\na_n1 = olap*(1/np.sqrt(1-val**2))*np.array((1., -1., 1., -1.))\na_n2 = olap*(1/np.sqrt(1-val**2))*pops*np.array((1., 1., -1., -1.))\n\n\n\nm1 = np.random.randn(N)\nn1 = np.random.randn(N)\nm2 = np.random.randn(N)\nn2 = np.random.randn(N)\n\nsels = 1000\nerr0 = 50\n\npops = len(a_m1)\nfor t in range(sels):\n V = np.random.randn(N//pops, 20)\n CC = np.dot(V, V.T)\n for po in range(pops):\n CC[po,po] = 0.\n \n err = np.std(CC)\n if err<err0:\n Vs = V\n err0 = err\n \nix = 0\n\nfor po in range(pops):\n m1[po*(N//pops):(po+1)*(N//pops)] = a_m1[po]+val*V[:, ix] \n ix += 1\n n1[po*(N//pops):(po+1)*(N//pops)] = a_n1[po]+val*V[:, ix]#+s_mn1[po]*V[:, ix]/val\n ix += 1 \n m2[po*(N//pops):(po+1)*(N//pops)] = a_m2[po]+val*V[:, ix]\n ix += 1\n n2[po*(N//pops):(po+1)*(N//pops)] = a_n2[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\n ix += 1\n\n#%%\n# =============================================================================\n# Fig 2\n# =============================================================================\nms = np.linspace(-5,5,100)\nSigma = np.zeros((2,2))\nSigma[0,0] = 1.3\nSigma[1,1] = 1.8\nSigma[0,1] = -0.5\nSigma[1,0] = 0.8\n\n\nN = 1000\nS=10\nM = np.vstack((m1, m2)).T\nss2 = 0.3\n\nNNN = np.vstack((n1, n2))\n\nfig = plt.figure(figsize=[3.2, 3.2])#, dpi=600\ngs = GridSpec(5,5)\n\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\n\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\n\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\n\nyl = 4.\nylt = 3.\nxl = 2.5\nxlt = 2.\nax_joint00.scatter(M[:,0], NNN[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint00.scatter(np.sqrt(1-val**2)*np.array((1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1.)),\n s=2*S, edgecolor='k', facecolor='w')\nax_joint00.set_xlim([-xl, xl])\nax_joint00.set_xticks([-xlt, 0, xlt])\nax_joint00.set_xticklabels(['','',''])\nax_joint00.set_ylim([-yl,yl])\nax_joint00.set_yticks([-ylt, 0, ylt])\nax_joint00.set_ylabel(r'$n^{\\left(1\\right)}_i$')\nax_joint00.spines['top'].set_visible(False)\nax_joint00.spines['right'].set_visible(False)\nax_joint00.yaxis.set_ticks_position('left')\nax_joint00.xaxis.set_ticks_position('bottom')\n \nax_joint01.scatter(M[:,1], NNN[0,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint01.scatter(np.sqrt(1-val**2)*np.array((1., -1., 1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1., -1, 1.)),\n s=2*S, edgecolor='k', facecolor='w')\nax_joint01.spines['top'].set_visible(False)\nax_joint01.spines['right'].set_visible(False)\nax_joint01.yaxis.set_ticks_position('left')\nax_joint01.xaxis.set_ticks_position('bottom')\nax_joint01.set_ylim([-yl,yl])\nax_joint01.set_yticks([-ylt, 0, ylt])\nax_joint01.set_yticklabels(['','',''])\nax_joint01.set_xlim([-xl, xl])\nax_joint01.set_xticks([-xlt, 0, xlt])\nax_joint01.set_xticklabels(['','',''])\n\nax_joint10.scatter(M[:,0], NNN[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint10.scatter(np.sqrt(1-val**2)*np.array((1., -1., 1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1., -1, 1.)),\n s=2*S, edgecolor='k', facecolor='w')\nax_joint10.set_xlim([-3,3])\nax_joint10.spines['top'].set_visible(False)\nax_joint10.spines['right'].set_visible(False)\nax_joint10.yaxis.set_ticks_position('left')\nax_joint10.xaxis.set_ticks_position('bottom')\nax_joint10.set_ylim([-yl,yl])\nax_joint10.set_yticks([-ylt, 0, ylt])\nax_joint10.set_xlim([-xl, xl])\nax_joint10.set_xticks([-xlt, 0, xlt])\nax_joint10.set_ylabel(r'$n^{\\left(2\\right)}_i$')\nax_joint10.set_xlabel(r'$m^{\\left(1\\right)}_i$')\n\nax_joint11.scatter(M[:,1], NNN[1,:], s=S, alpha=0.5, label=r'$\\sigma_{mn} = 1.2$', rasterized=True)\nax_joint11.scatter(np.sqrt(1-val**2)*np.array((1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1.)),\n s=2*S, edgecolor='k', facecolor='w')\nax_joint11.set_xlim([-3,3])\nax_joint11.spines['top'].set_visible(False)\nax_joint11.spines['right'].set_visible(False)\nax_joint11.set_ylim([-yl, yl])\nax_joint11.set_yticks([-ylt, 0, ylt])\nax_joint11.set_xlim([-xl, xl])\nax_joint11.set_xticks([-xlt, 0, xlt])\nax_joint11.set_yticklabels(['','',''])\nax_joint11.yaxis.set_ticks_position('left')\nax_joint11.xaxis.set_ticks_position('bottom')\nax_joint11.set_xlabel(r'$m^{\\left(2\\right)}_i$')\n\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\nss = val\nax_marg_x0.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\nax_marg_x0.spines['top'].set_visible(False)\nax_marg_x0.spines['right'].set_visible(False)\nax_marg_x0.spines['left'].set_visible(False)\nax_marg_x0.yaxis.set_ticks_position('left')\nax_marg_x0.xaxis.set_ticks_position('bottom')\nax_marg_x0.set_xlim([-3,3])\nax_marg_x0.set_xticks([-2., 0, 2.])\nax_marg_x0.set_ylim([0,.8])\nax_marg_x0.set_xticklabels(['','',''])\nax_marg_x0.set_yticks([1])\n\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\nax_marg_x1.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\nax_marg_x1.spines['top'].set_visible(False)\nax_marg_x1.spines['right'].set_visible(False)\nax_marg_x1.spines['left'].set_visible(False)\nax_marg_x1.yaxis.set_ticks_position('left')\nax_marg_x1.xaxis.set_ticks_position('bottom')\nax_marg_x1.set_xlim([-3,3])\nax_marg_x1.set_ylim([0,0.8])\nax_marg_x1.set_xticks([-2., 0, 2.])\nax_marg_x1.set_xticklabels(['','',''])\nax_marg_x1.set_yticks([1])\n\nax_marg_y0.hist(NNN[0,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nss= val\nMu = olap*(1/np.sqrt(1-val**2))\nax_marg_y0.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\nax_marg_y0.spines['top'].set_visible(False)\nax_marg_y0.spines['right'].set_visible(False)\nax_marg_y0.spines['bottom'].set_visible(False)\nax_marg_y0.yaxis.set_ticks_position('left')\nax_marg_y0.xaxis.set_ticks_position('bottom')\nax_marg_y0.set_ylim([-yl,yl])\nax_marg_y0.set_xlim([0,0.8])\nax_marg_y0.set_yticks([-ylt, 0, ylt])\nax_marg_y0.set_yticklabels(['','',''])\nax_marg_y0.set_xticks([1])\nax_marg_y0.set_xticklabels([''])\n\nax_marg_y1.hist(NNN[1,:], nbins, orientation=\"horizontal\", alpha=0.5, density=True)\nax_marg_y1.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\nax_marg_y1.spines['top'].set_visible(False)\nax_marg_y1.spines['right'].set_visible(False)\nax_marg_y1.spines['bottom'].set_visible(False)\nax_marg_y1.yaxis.set_ticks_position('left')\nax_marg_y1.xaxis.set_ticks_position('bottom')\nax_marg_y1.set_ylim([-yl,yl])\nax_marg_y1.set_xlim([0,0.8])\nax_marg_y1.set_yticks([-ylt, 0, ylt])\nax_marg_y1.set_yticklabels(['','',''])\nax_marg_y1.set_xticks([1])\nax_marg_y1.set_xticklabels([''])\n\nplt.savefig('Th_Fig5_1_A.pdf')\n\n#%%\nkaps1 = np.linspace(-2.5,2.5, 150)\nkaps2 = np.linspace(-2.5,2.5, 140)\nksol = np.zeros((len(kaps1), len(kaps2), 2))\n\nK1s, K2s = np.meshgrid(kaps1, kaps2)\ndef transf(K):\n return(K*Prime(0, np.dot(K.T, K)))\n\n\nE = np.zeros((len(kaps1), len(kaps2)))\nfor ik1 ,k1 in enumerate(kaps1):\n for ik2, k2 in enumerate(kaps2):\n K = np.array((k1, k2))\n ksol[ik1, ik2, :] = - K\n for ip in range(pops):\n ksol[ik1, ik2, 0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*k1+a_m2[ip]*k2, val**2*k1**2+val**2*k2**2)\n ksol[ik1, ik2, 1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*k1+a_m2[ip]*k2, val**2*k1**2+val**2*k2**2)\n \n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\n \nsearch_kap1 = np.linspace(0.2, 2.5, 300)\nE_1 = np.zeros_like(search_kap1)\nv = np.array((1,0))\nfor ik1 ,k1 in enumerate(search_kap1):\n K = v*k1\n kSS = - K[0]\n for ip in range(pops):\n kSS += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0], val**2*K[0]**2)\n \n E_1[ik1] = np.abs(kSS)\nfp1 = search_kap1[np.argmin(E_1)]\n\nsearch_kap1 = np.linspace(0.2, 3., 500)\nE_1 = np.zeros_like(search_kap1)\nv = np.array((0,1))\nE11 = np.zeros_like(E_1)\nE12 = np.zeros_like(E_1)\n\nfor ik1 ,k1 in enumerate(search_kap1):\n K = v*k1\n kSS = - K\n for ip in range(pops):\n kSS[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1], val**2*K[0]**2+val**2*K[1]**2)\n kSS[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1], val**2*K[0]**2+val**2*K[1]**2)\n E11[ik1] =kSS[0]\n E12[ik1] =kSS[1]\n \n E_1[ik1] = np.sum(kSS**2)\nfp11 = search_kap1[np.argmin(E_1)]\n\nsearch_kap2 = np.linspace(0.2, 2., 300)\ndkap = search_kap2[1]-search_kap2[0]\nE_2 = np.zeros_like(search_kap2)\nAn = np.vstack((a_n1, a_n2))\nAm = np.vstack((a_m1, a_m2))\n\nfor ik2 ,k2 in enumerate(search_kap2):\n W = np.array((1, 1))/np.sqrt(2)\n K = W*k2\n kSS = - K\n for ip in range(pops):\n kSS[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[0], val**2*K[0]**2+val**2*K[1]**2)\n kSS[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[0], val**2*K[0]**2+val**2*K[1]**2)\n \n E_2[ik2] = np.abs(np.sum(kSS**2))\nfp2 = search_kap2[np.argmin(E_2)]+dkap\n\nfig = plt.figure()\nax = fig.add_subplot(111) \nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading='auto')\n\n\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0, fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2), -fp2/np.sqrt(2)], \\\n [0, fp2/np.sqrt(2), -fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2)], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\nplt.scatter([ 0, 0, fp1, -fp1], [fp11, -fp11, 0, 0], s=70, edgecolor='w', facecolor='k', linewidth=1., zorder=4)\n\nplt.plot([ fp1,0, -fp1,0, fp1], [0, fp11, 0, -fp11,0], c='k', lw=0.7)\n\nth = np.linspace(0, 2*np.pi)\n\nax.set_xticks([-2, 0, 2])\nax.set_yticks([-2, 0, 2])\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\nplt.savefig('Th_Fig5_1_C1.pdf')\n\n#%%\nfig = plt.figure()\nax = fig.add_subplot(111) \n\nplt.xlabel('$\\kappa_1$')\nplt.ylabel('$\\kappa_2$')\nplt.scatter([ 0, fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2), -fp2/np.sqrt(2)], \\\n [0, fp2/np.sqrt(2), -fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2)], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\nplt.scatter([ 0, 0, fp1, -fp1], [fp11, -fp11, 0, 0], s=70, edgecolor='w', facecolor='k', linewidth=1., zorder=5)\nplt.plot([ fp1,0, -fp1,0, fp1], [0, fp11, 0, -fp11,0], c='k', lw=0.7)\n\n\nNn = 1000\n\nMu= np.zeros((4,1))\n\ninkap1 = np.linspace(-2.2, 2.2, 5)\ninkap2 = np.linspace(-2.2, 2.2, 6)\n\ndt = 0.1\ntime = np.arange(0, 120, dt)\n\nfor trials in range(2):\n s_mn1 = 0*np.array((0.5, 0.5, 0.5, 0.5))\n s_mn2 = 0*np.array((0.5, 0.5, 0.5, 0.5))\n \n val = 0.5#np.sqrt(1-0.5**2)\n \n pops = 1\n olap = 2.\n \n a_m1 = np.sqrt(1-val**2)*np.array((1., -1., 1., -1.))\n a_m2 = np.sqrt(1-val**2)*np.array((1., 1., -1., -1.))\n a_n1 = olap*(1/np.sqrt(1-val**2))*np.array((1., -1., 1., -1.))\n a_n2 = olap*(1/np.sqrt(1-val**2))*pops*np.array((1., 1., -1., -1.))\n \n m1 = np.random.randn(Nn)\n n1 = np.random.randn(Nn)\n m2 = np.random.randn(Nn)\n n2 = np.random.randn(Nn)\n \n sels = 1000\n err0 = 50\n \n pops = len(a_m1)\n for t in range(sels):\n V = np.random.randn(Nn//pops, 20)\n CC = np.dot(V, V.T)\n for po in range(pops):\n CC[po,po] = 0.\n \n err = np.std(CC)\n if err<err0:\n Vs = V\n err0 = err\n \n ix = 0\n \n for po in range(pops):\n m1[po*(Nn//pops):(po+1)*(Nn//pops)] = a_m1[po]+val*V[:, ix] \n ix += 1\n n1[po*(Nn//pops):(po+1)*(Nn//pops)] = a_n1[po]+val*V[:, ix]#+s_mn1[po]*V[:, ix]/val\n ix += 1 \n m2[po*(Nn//pops):(po+1)*(Nn//pops)] = a_m2[po]+val*V[:, ix]\n ix += 1\n n2[po*(Nn//pops):(po+1)*(Nn//pops)] = a_n2[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\n ix += 1\n M = np.vstack((m1, m2)).T\n N = np.vstack((n1, n2))\n\n J = np.dot(M, N)/Nn\n \n cC = np.ones(3)*0.6\n \n for ik1, ink1 in enumerate(inkap1):\n for ik2, ink2 in enumerate(inkap2):\n sk1 = np.zeros_like(time)\n sk2 = np.zeros_like(time)\n \n x0 = ink1*M[:,0] + ink2*M[:,1]\n sk1[0] = np.mean(M[:,0]*x0)\n sk2[0] = np.mean(M[:,1]*x0)\n \n for it, ti in enumerate(time[:-1]):\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\n sk1[it+1] = np.mean(M[:,0]*x)\n sk2[it+1] = np.mean(M[:,1]*x)\n x0 = x\n plt.plot(sk1, sk2, c=cC)\n plt.scatter(sk1[0], sk2[0], s=10, facecolor=cC)\n plt.scatter(sk1[-1], sk2[-1], s=25, facecolor=cC, edgecolor='k', zorder=3)\n \nax.set_xticks([-2, 0, 2])\nax.set_yticks([-2, 0, 2])\nax.set_ylim([1.1*np.min(kaps2), 1.1*np.max(kaps2)])\nax.set_xlim([1.1*np.min(kaps1), 1.1*np.max(kaps1)])\n \nax.spines['top'].set_visible(False)\nax.spines['right'].set_visible(False)\nax.yaxis.set_ticks_position('left')\nax.xaxis.set_ticks_position('bottom') \nplt.savefig('Th_Fig5_1_D.pdf') "}],"string":"[\n {\n \"alpha_fraction\": 0.47091805934906006,\n \"alphanum_fraction\": 0.5047415494918823,\n \"avg_line_length\": 37.13508224487305,\n \"blob_id\": \"be7df13b40cfc0fcc2dc63a996de0160804543c1\",\n \"content_id\": \"58f7f804a7a16095fb94068bdefdff947cec163e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 98807,\n \"license_type\": \"no_license\",\n \"max_line_length\": 211,\n \"num_lines\": 2591,\n \"path\": \"/lib_rnns.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Tue Apr 2 16:50:55 2019\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport torch\\n\\n#%%\\ndef set_plot(ll = 7):\\n plt.style.use('ggplot')\\n\\n fig_width = 1.5*2.2 # width in inches\\n fig_height = 1.5*2 # height in inches\\n fig_size = [fig_width,fig_height]\\n plt.rcParams['figure.figsize'] = fig_size\\n plt.rcParams['figure.autolayout'] = True\\n \\n plt.rcParams['lines.linewidth'] = 1.2\\n plt.rcParams['lines.markeredgewidth'] = 0.003\\n plt.rcParams['lines.markersize'] = 3\\n plt.rcParams['font.size'] = 14#9\\n plt.rcParams['legend.fontsize'] = 11#7.\\n plt.rcParams['axes.facecolor'] = '1'\\n plt.rcParams['axes.edgecolor'] = '0'\\n plt.rcParams['axes.linewidth'] = '0.7'\\n \\n plt.rcParams['axes.labelcolor'] = '0'\\n plt.rcParams['axes.labelsize'] = 14#9\\n plt.rcParams['xtick.labelsize'] = 11#7\\n plt.rcParams['ytick.labelsize'] = 11#7\\n plt.rcParams['xtick.color'] = '0'\\n plt.rcParams['ytick.color'] = '0'\\n plt.rcParams['xtick.major.size'] = 2\\n plt.rcParams['ytick.major.size'] = 2\\n \\n plt.rcParams['font.sans-serif'] = 'Arial'\\n \\n cls = np.zeros((ll,3))\\n \\n cl11 = np.array((102, 153, 255))/255.\\n cl12 = np.array((53, 153, 53))/255.\\n \\n cl21 = np.array((255, 204, 51))/255.\\n cl22 = np.array((204, 0, 0))/255.\\n \\n if ll==7:\\n cls[0,:] = 0.4*np.ones((3,))\\n \\n cls[1,:] = cl11\\n cls[2,:] = 0.5*cl11+0.5*cl12\\n cls[3,:] = cl12\\n \\n cls[4,:] = cl21\\n cls[5,:] = 0.5*cl21+0.5*cl22\\n cls[6,:] = cl22\\n elif ll == 5:\\n cls[0,:] = 0.4*np.ones((3,)) \\n \\n cls[2,:] = cl12\\n \\n cls[3,:] = cl21\\n \\n cls[4,:] = cl22 \\n return(cls)\\n \\ndef set_plot2(ll = 7):\\n plt.style.use('ggplot')\\n\\n fig_width = 1.5*2.2 # width in inches\\n fig_height = 1.5*2 # height in inches\\n fig_size = [fig_width,fig_height]\\n plt.rcParams['figure.figsize'] = fig_size\\n plt.rcParams['figure.autolayout'] = True\\n \\n plt.rcParams['lines.linewidth'] = 1.2\\n plt.rcParams['lines.markeredgewidth'] = 0.003\\n plt.rcParams['lines.markersize'] = 3\\n plt.rcParams['font.size'] = 14#9\\n plt.rcParams['legend.fontsize'] = 11#7.\\n plt.rcParams['axes.facecolor'] = '1'\\n plt.rcParams['axes.edgecolor'] = '0'\\n plt.rcParams['axes.linewidth'] = '0.7'\\n \\n plt.rcParams['axes.labelcolor'] = '0'\\n plt.rcParams['axes.labelsize'] = 14#9\\n plt.rcParams['xtick.labelsize'] = 11#7\\n plt.rcParams['ytick.labelsize'] = 11#7\\n plt.rcParams['xtick.color'] = '0'\\n plt.rcParams['ytick.color'] = '0'\\n plt.rcParams['xtick.major.size'] = 2\\n plt.rcParams['ytick.major.size'] = 2\\n \\n plt.rcParams['font.sans-serif'] = 'Arial'\\n \\n cls = np.zeros((ll,3))\\n \\n cl11 = np.array((102, 153, 255))/255.\\n cl12 = np.array((53, 153, 53))/255.\\n \\n cl21 = np.array((255, 204, 51))/255.\\n cl22 = np.array((204, 0, 0))/255.\\n \\n if ll==7:\\n cls[0,:] = 0.4*np.ones((3,))\\n \\n cls[1,:] = cl11\\n cls[2,:] = 0.5*cl11+0.5*cl12\\n cls[3,:] = cl12\\n \\n cls[4,:] = cl21\\n cls[5,:] = 0.5*cl21+0.5*cl22\\n cls[6,:] = cl22\\n \\n cls = cls[1:]\\n cls = cls[::-1]\\n \\n c2 = [67/256, 90/256, 162/256]\\n c1 = [220/256, 70/256, 51/256]\\n cls[0,:]=c1\\n cls[5,:]=c2\\n elif ll == 5:\\n cls[0,:] = 0.4*np.ones((3,)) \\n \\n cls[2,:] = cl12\\n \\n cls[3,:] = cl21\\n \\n cls[4,:] = cl22 \\n return(cls)\\n# Create input \\n \\ndef plot_readout(net_low, time, Nt, time_com, amps, R_on, dt, string1, string2,\\n trials=100, plot_trace=True, plot_psycho=True, pl_min = 60, pl_max = 1350, mean=False, png=False, new=False):\\n cls = set_plot2()\\n fig = plt.figure()\\n ax = fig.add_subplot(111)\\n \\n Tp = np.zeros(len(amps))\\n Tp_sd = np.zeros(len(amps)) \\n thres = 0.35\\n train_int = (0.5+thres)*time_com*dt\\n for xx in range(len(amps)):\\n \\n trials = 100#100\\n \\n input_tr, output_tr, mask_tr, ct_tr, ct2_tr = create_inp_out2(trials, Nt, time_com, amps, R_on, 0., \\n just=xx, perc = 0.0)\\n \\n outp, traj = net_low.forward(input_tr, return_dynamics=True)\\n outp = outp.detach().numpy()\\n traj = traj.detach().numpy()\\n \\n avg_outp = np.mean(outp[:,:,0],0)\\n if new==False:\\n ax.plot(-R_on*dt/1000+time*dt/1000, avg_outp, color=cls[xx,:])\\n else:\\n ax.plot(-R_on*dt/1000+time*dt/1000, avg_outp, color=cls[xx,:], lw=2.)\\n \\n if mean == False:\\n if new ==False:\\n ax.plot(-R_on*dt/1000+time*dt/1000, outp[:,:,0].T, color=cls[xx,:], lw= 0.1)\\n else:\\n ax.plot(-R_on*dt/1000+time*dt/1000, outp[:,:,0].T, color=cls[xx,:], lw= 1.2)\\n if new==False:\\n ax.plot(time[mask_tr.detach().numpy()[xx,:,0]>0.]*dt/1000-R_on*dt/1000, output_tr.detach().numpy()[xx,mask_tr.detach().numpy()[xx,:]>0.], '--k', lw=1.0)\\n else:\\n ax.plot(time[mask_tr.detach().numpy()[xx,:,0]>0.]*dt/1000-R_on*dt/1000, output_tr.detach().numpy()[xx,mask_tr.detach().numpy()[xx,:]>0.], '--', c = [0.3, 0.3, 0.3], lw=1., zorder=2)\\n \\n outp_thres = outp[:,:,0]-thres\\n time_cross = np.zeros(trials)\\n for t in range(trials):\\n t_ser = outp_thres[t,:]\\n if len(time[t_ser>0])>0:\\n time_cross[t] = (time[t_ser>0][0]-R_on)*dt\\n else:\\n time_cross[t] = np.nan\\n \\n Tp[xx] = np.mean(time_cross)-R_on*10\\n Tp_sd[xx] = np.std(time_cross)-R_on*10\\n xl = np.min( [time[-1]*dt/1000, 1.4*(np.max(time_com)+R_on)*dt/1000])\\n ax.set_xlim([-0.6, xl]) \\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom')\\n plt.xlabel('time after Set (s)')\\n plt.ylabel('read out')\\n if png==False:\\n plt.savefig(string1)\\n else:\\n plt.savefig(string1, dpi=1200)\\n plt.show()\\n \\n fig = plt.figure()\\n ax = fig.add_subplot(111)\\n for xx in range(len(amps)):\\n plt.errorbar(train_int[xx], Tp[xx], yerr = Tp_sd[xx], fmt='o', markersize=10, color=cls[xx,:])\\n plt.plot(train_int, train_int, 'k')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom')\\n plt.xlabel('trained interval [ms]')\\n plt.ylabel(r'$t_p$ [ms]')\\n if png==False:\\n plt.savefig(string2)\\n else:\\n plt.savefig(string2, dpi=1200)\\n plt.show()\\n #plt.plot([pl_min, pl_max], [pl_min, pl_max], 'k')\\n return(Tp, Tp_sd, train_int)\\n \\ndef plot_readout2(net_low, time, Nt, time_com, amps, R_on, dt, string1, string2,\\n trials=100, plot_trace=True, plot_psycho=True, pl_min = 60, pl_max = 1350, mean=False):\\n cls = set_plot()\\n fig = plt.figure()\\n ax = fig.add_subplot(111)\\n \\n #Tp = np.zeros(len(amps))\\n #Tp_sd = np.zeros(len(amps)) \\n #thres = 0.35\\n #train_int = (0.5+thres)*time_com*dt\\n for xx in range(len(amps)):\\n \\n trials = 100\\n \\n input_tr, output_tr, mask_tr, ct_tr, ct2_tr = create_inp_out2(trials, Nt, time_com, amps, R_on, 0., \\n just=xx, perc = 0.0)\\n \\n outp, traj = net_low.forward(input_tr, return_dynamics=True)\\n outp = outp.detach().numpy()\\n traj = traj.detach().numpy()\\n \\n #dist = np.diff(traj,axis=1)\\n speed = np.sqrt(np.sum(np.diff(traj,axis=1)**2,-1))\\n avg_outp = np.mean(speed,0)#np.mean(np.diff(outp[:,:,0])/dt,0)\\n ax.plot(time[:-1]*dt, avg_outp, color=cls[xx,:])\\n if mean == False:\\n #ax.plot(time[:-1]*dt, np.diff(outp[:,:,0]).T, color=cls[xx,:], lw= 0.1)\\n ax.plot(time[:-1]*dt, speed[:,:,0].T, color=cls[xx,:], lw= 0.1)\\n #ax.plot(time[mask_tr.detach().numpy()[xx,:,0]>0.]*dt, output_tr.detach().numpy()[xx,mask_tr.detach().numpy()[xx,:]>0.], '--k', lw=1.0)\\n \\n #outp_thres = outp[:,:,0]-thres\\n #time_cross = np.zeros(trials)\\n #for t in range(trials):\\n # t_ser = outp_thres[t,:]\\n # if len(time[t_ser>0])>0:\\n # time_cross[t] = (time[t_ser>0][0]-R_on)*dt\\n # else:\\n # time_cross[t] = np.nan\\n \\n #Tp[xx] = np.mean(time_cross)\\n #Tp_sd[xx] = np.std(time_cross)\\n xl = np.min( [time[-1]*dt, 1.4*(np.max(time_com)+R_on)*dt])\\n ax.set_xlim([0, xl]) \\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom')\\n plt.xlabel('time [ms]')\\n ax.set_ylim([0,6])\\n #plt.yscale('log')\\n plt.ylabel('speed')\\n plt.savefig(string1)\\n plt.show()\\n \\n# fig = plt.figure()\\n# ax = fig.add_subplot(111)\\n# for xx in range(len(amps)):\\n# plt.errorbar(train_int[xx], Tp[xx], yerr = Tp_sd[xx], fmt='o', markersize=10, color=cls[xx,:])\\n# plt.plot(train_int, train_int, 'k')\\n# ax.spines['top'].set_visible(False)\\n# ax.spines['right'].set_visible(False)\\n# ax.yaxis.set_ticks_position('left')\\n# ax.xaxis.set_ticks_position('bottom')\\n# plt.xlabel('trained interval [ms]')\\n# plt.ylabel(r'$t_p$ [ms]')\\n# plt.savefig(string2)\\n# plt.show()\\n #plt.plot([pl_min, pl_max], [pl_min, pl_max], 'k')\\n return()\\n\\ndef create_inp_out(trials, Nt, tss, amps, R_on, SR_on, just=-1, perc = 0.2):\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 2))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n \\n r_inp = np.ones((trials, Nt))\\n #r2_inp = np.ones((trials, Nt))\\n s_inp = np.zeros((trials, Nt))\\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have the set cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n \\n rnd = np.zeros(trials)\\n if SR_on>0:\\n rnd = np.random.randint(-SR_on, SR_on, trials)\\n\\n for itr in range(trials): \\n if ct2[itr]:\\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<np.max(tss)+R_on+1+rnd[itr])\\n else:\\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<tss[ct[itr]]+R_on+1+rnd[itr])\\n s_inp[itr, time>R_on+rnd[itr]] = 100.\\n s_inp[itr, time>1+R_on+rnd[itr]] = 0.\\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -0.9*strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n #Include zero read-out in cost function\\n if ct2[itr]:\\n maskt[itr,:,0] = (time<np.max(tss)+R_on+1+rnd[itr])\\n else:\\n maskt[itr,:,0] = (time<tss[ct[itr]]+R_on+1+rnd[itr])\\n if just==-1:\\n r_inp[itr, :] = amps[ct[itr]]*r_inp[itr,:] \\n \\n if just>-1:\\n r_inp = amps[just]*r_inp\\n \\n inputt[:,:,0] = r_inp #cue\\n inputt[:,:,1] = s_inp #set\\n #inputt[:,:,2] = r2_inp\\n #outputt = strt*np.ones((trials, Nt, 1))\\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2)\\n \\ndef create_inp_out2(trials, Nt, tss, amps, R_on, SR_on=80, just=-1, perc = 0.2):\\n '''\\n Missing\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 2))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n \\n r_inp = np.ones((trials, Nt))\\n #r2_inp = np.ones((trials, Nt))\\n s_inp = np.zeros((trials, Nt))\\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have the set cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n \\n rnd = np.zeros(trials)\\n if SR_on>0:\\n rnd = np.random.randint(-SR_on, SR_on, trials)\\n\\n for itr in range(trials): \\n if ct2[itr]:\\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<np.max(tss)+R_on+1+rnd[itr])\\n else:\\n maskt[itr,:,0] = (time>R_on+1+rnd[itr])*(time<tss[ct[itr]]+R_on+1+rnd[itr])\\n mask_aft = time>=tss[ct[itr]]+R_on+1+rnd[itr]\\n s_inp[itr, time>R_on+rnd[itr]] = 10.\\n s_inp[itr, time>1+R_on+rnd[itr]] = 0.\\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n #Include zero read-out in cost function\\n if ct2[itr]:\\n maskt[itr,:,0] = (time<Nt)#np.max(tss)+R_on+1+rnd[itr])\\n else:\\n maskt[itr,:,0] = (time<Nt)#tss[ct[itr]]+R_on+1+rnd[itr])\\n if just==-1:\\n r_inp[itr, :] = amps[ct[itr]]*r_inp[itr,:] \\n \\n if just>-1:\\n r_inp = amps[just]*r_inp\\n \\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp\\n #inputt[:,:,2] = r2_inp\\n #outputt = strt*np.ones((trials, Nt, 1))\\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2)\\n\\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n\\ndef self_con(kappas, rho, means_z, var_z, w_z, means_x, var_x, w_x):\\n G = np.zeros(len(kappas))\\n for ikap, kap in enumerate(kappas):\\n tot_w = np.zeros(len(w_z)*len(w_x))\\n tot_mu = np.zeros(len(tot_w))\\n tot_delta = np.zeros(len(tot_w))\\n tot_a = np.zeros(len(tot_w))\\n tot_sig = np.zeros(len(tot_w))\\n fact1 = np.zeros(len(tot_w))\\n fact2 = np.zeros(len(tot_w))\\n \\n \\n \\n count= 0\\n for k in range(len(w_z)):\\n for l in range(len(w_x)):\\n tot_w[count] = w_z[k]*w_x[l]\\n tot_mu[count] = kap*(means_x[l]+rho*means_z[k])\\n tot_delta[count] = kap**2*(var_x[l]+rho**2*var_z[k])\\n tot_a[count] = means_z[k]\\n tot_sig[count] = np.sqrt(var_z[k]) \\n \\n fact1 += tot_w[count]*tot_a[count] * Phi(tot_mu[count], tot_delta[count])\\n fact2 += kap*rho*tot_w[count]*tot_sig[count]*Prime(tot_mu[count], tot_delta[count])\\n count +=1\\n G[ikap] = np.sum(fact1)+np.sum(fact2)\\n\\n return(G) \\n\\ndef self_condir(kappas, m, n, Icue, amp):\\n G = np.zeros(len(kappas))\\n for ikap, kap in enumerate(kappas):\\n G[ikap] = np.mean(n*np.tanh(m*kap+Icue*amp))\\n return(G) \\n\\ndef self_condir2(kappas1, kappas2, m1, n1, m2, n2, Icue, amp):\\n G = np.zeros((len(kappas1), len(kappas2),2))\\n Gm = np.zeros((len(kappas1), len(kappas2),2))\\n \\n E = np.zeros((len(kappas1), len(kappas2)))\\n \\n K1 = np.zeros((len(kappas1), len(kappas2)))\\n K2 = np.zeros((len(kappas1), len(kappas2)))\\n for ikap1, kap1 in enumerate(kappas1):\\n for ikap2, kap2 in enumerate(kappas2): \\n G[ikap1, ikap2,0] = np.mean(n1*np.tanh(m1*kap1+m2*kap2+Icue[:,0]*amp))\\n G[ikap1, ikap2,1] = np.mean(n2*np.tanh(m1*kap1+m2*kap2+Icue[:,0]*amp))\\n Gm[ikap1, ikap2,0] = G[ikap1, ikap2,0]-kap1\\n Gm[ikap1, ikap2,1] = G[ikap1, ikap2,1]-kap2\\n \\n E[ikap1, ikap2] = (G[ikap1, ikap2,0]-kap1)**2+(G[ikap1, ikap2,1]-kap2)**2\\n K1[ikap1, ikap2] = kap1\\n K2[ikap1, ikap2] = kap2\\n \\n return(G, E, Gm, K1, K2) \\n\\ndef self_condir2s(kappas1, m1, n1, m2, n2, Icue, amp):\\n G = np.zeros((len(kappas1)))\\n \\n for ikap1, kap1 in enumerate(kappas1):\\n G[ikap1] = np.mean(n1*np.tanh(m1*kap1+m2*kap1+Icue[:,0]*amp))+np.mean(n2*np.tanh(m1*kap1+m2*kap1+Icue[:,0]*amp))\\n return(G) \\n \\ndef angle2(vec1, vec2): \\n norm1 = np.sqrt(np.dot(vec1.T, vec1))\\n norm2 = np.sqrt(np.dot(vec2.T, vec2))\\n factor= 180/np.pi\\n ang = np.arccos(np.dot(vec1.T, vec2)/(norm1*norm2))*factor\\n return(ang) \\n \\ndef find_kaps(E,Gm, kappas1, kappas2, tol_around = 0.1, tol = 0.05):\\n \\n Er = np.ravel(E)\\n cand_ix0, cand_ix1 = np.unravel_index(np.argwhere(Er<tol), E.shape)\\n \\n real0 = []\\n real1 = []\\n stab = []\\n eigs1 = []\\n eigs2 = []\\n c0s = []\\n c1s = []\\n dkap = kappas1[1]-kappas1[0]\\n \\n idcs_ar = (tol_around//dkap)+1\\n \\n for ic0, c0 in enumerate(cand_ix0):\\n c0 = c0[0]\\n c1 = cand_ix1[ic0][0]\\n \\n low1 = int(np.max((0, -idcs_ar+c0)))\\n low2 = int(np.max((0, -idcs_ar+c1)))\\n high1 = int(np.min((len(kappas1)-1, idcs_ar+c0)))\\n high2 = int(np.min((len(kappas1)-1, idcs_ar+c1)))\\n if E[c0,c1]==np.min(E[low1:high1, low2:high2]):\\n if (Gm[c0+1,c1,0]*Gm[c0-1, c1,0])<0 and (Gm[c0,c1-1,1]*Gm[c0-1, c1+1,1])<0:\\n real0.append(c0)\\n real1.append(c1)\\n M = np.zeros((2,2))\\n M[0,0] = Gm[c0+1,c1,0]-Gm[c0-1,c1,0]\\n M[0,1] = Gm[c0,c1+1,0]-Gm[c0,c1-1,0]\\n M[1,1] = Gm[c0,c1+1,1]-Gm[c0,c1-1,1]\\n M[1,0] = Gm[c0+1,c1,1]-Gm[c0-1,c1,1]\\n largst, minst = np.linalg.eigvals(M/(2*dkap))\\n eigs1.append(largst)\\n eigs2.append(minst)\\n c0s.append(c0)\\n c1s.append(c1)\\n \\n \\n if np.max(np.real(np.linalg.eigvals(M)))<0:\\n stab.append(1)\\n else:\\n stab.append(0)\\n kappa_x = np.array((kappas1[real0], kappas2[real1]))\\n return(kappa_x, np.array(stab), np.array(eigs1), np.array(eigs2))#, M, c0s, c1s)\\n \\n#%%\\ndef create_inp_out_rsg(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 3))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n \\n r_inp = np.ones((trials, Nt))\\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n\\n\\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp_R\\n inputt[:,:,2] = s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsgC(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 3))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n \\n r_inp = np.ones((trials, Nt))\\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n\\n\\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp_R\\n inputt[:,:,2] = s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsg1(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 3))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n inc_mask = 20\\n \\n r_inp = np.ones((trials, Nt))\\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\\n s_inp_R[itr, time>R1_on+rnd[itr]+redset] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset-inc_mask)*(time<2*redset+R1_on+1+rnd[itr]+inc_mask)\\n\\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp_R\\n inputt[:,:,2] = s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsg2(trials, Nt, tss, R1_on, SR1_on, just=-1, perc = 0.1, perc1 = 0.1):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 3))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n inc_mask = 20\\n \\n r_inp = np.ones((trials, Nt))\\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset)*(time<2*redset+R1_on+1+rnd[itr])\\n mask_aft = time>=2*redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset-inc_mask)*(time<2*redset+R1_on+1+rnd[itr]+inc_mask)\\n\\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp_R\\n inputt[:,:,2] = s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsg3(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 3))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n inc_mask = 30\\n \\n r_inp = np.ones((trials, Nt))\\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\\n\\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp_R\\n inputt[:,:,2] = s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsg_2out(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \\n perc = 0.1, perc1 = 0.1, noset=False, noready=False, align_set = False, align_go = False, fixGo = True):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 1))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\\n \\n elif align_set:\\n \\n if fixGo==True:\\n fixT = R1_on + np.max(tss)\\n else:\\n fixT = fixGo \\n \\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT] = 10.\\n s_inp_S[itr, time>1+fixT] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n else:\\n if fixGo:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n else:\\n fixT = fixGo - np.max(tss)\\n fixT2 = fixGo\\n \\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT2-redset] = 10.\\n s_inp_S[itr, time>1+fixT2-redset] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n \\n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsg_2out2inp(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \\n perc = 0.1, perc1 = 0.1, noset=False, noready=False, align_set = False, align_go = False, fixGo = True):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 2))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\\n \\n elif align_set:\\n \\n if fixGo==True:\\n fixT = R1_on + np.max(tss)\\n else:\\n fixT = fixGo \\n \\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT] = 10.\\n s_inp_S[itr, time>1+fixT] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n else:\\n if fixGo:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n else:\\n fixT = fixGo - np.max(tss)\\n fixT2 = fixGo\\n \\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT2-redset] = 10.\\n s_inp_S[itr, time>1+fixT2-redset] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n \\n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,1] += s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n \\n#%%\\ndef create_inp_out_rsg_cont(trials, Nt, tss, R1_on, SR1_on, fact = 1, just=-1, \\n perc = 0.1, perc1 = 0.1, noset=False, noready=False, align_set = False, align_go = False, fixGo = True, bayes=False):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n if len(tss_comp)>2:\\n tss_comp = np.array((tss_comp[0], tss_comp[1]))\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 1))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n time_shown = np.zeros(trials)\\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = np.random.randint(tss_comp[0], tss_comp[1])#tss[ct[itr]]\\n if bayes==False:\\n redset_real = redset\\n else:\\n redset_real = redset + np.round(bayes*redset*np.random.randn())\\n ct[itr] = redset\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt \\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_real)*(time<redset_real+redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_real+redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_real] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_real] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_real-interval, time<R1_on+rnd[itr]+redset_real)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_real+R1_on+1+rnd[itr]-inc_mask)*(time<redset+redset+R1_on+1+rnd[itr]+inc_mask)\\n time_shown[itr] = redset_real\\n \\n elif align_set:\\n \\n if fixGo==True:\\n fixT = R1_on + np.max(tss)\\n else:\\n fixT = fixGo \\n \\n \\n for itr in range(trials): \\n redset = np.random.randint(tss_comp[0], tss_comp[1])#tss[ct[itr]]\\n if bayes==False:\\n redset_real = redset\\n else:\\n redset_real = redset + np.round(bayes*redset*np.random.randn())\\n ct[itr] = redset\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_real-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT-redset_real+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT] = 10.\\n s_inp_S[itr, time>1+fixT] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n time_shown[itr] = redset_real\\n \\n else:\\n if fixGo:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n else:\\n fixT = fixGo - np.max(tss)\\n fixT2 = fixGo\\n \\n \\n for itr in range(trials): \\n redset = np.random.randint(tss_comp[0], tss_comp[1])#tss[ct[itr]]\\n if bayes==False:\\n redset_real = redset\\n else:\\n redset_real = redset + np.round(bayes*redset*np.random.randn())\\n ct[itr] = redset\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-redset_real-redset-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT2-redset_real-redset+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT2-redset] = 10.\\n s_inp_S[itr, time>1+fixT2-redset] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n time_shown[itr] = redset_real\\n \\n \\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n return(inputt, outputt, maskt, ct, ct2, ct3, time_shown)\\n \\n\\n#%%\\ndef create_inp_out_rSSg(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1, delayF = 0, delay_min = 20, delay_max = 250, noset=False, noready=False, align_set = False, align_go = False):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 1))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S1 = np.zeros((trials, Nt))\\n s_inp_S2 = np.zeros((trials, Nt))\\n \\n \\n if delayF==0:\\n delayF = np.round(np.mean((delay_min, delay_max)))\\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n delay = np.random.randint(delay_min, delay_max)\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]+delay-interval, time<R1_on+rnd[itr]+delay)\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+delay+interval, time<R1_on+rnd[itr]+2*interval+delay)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+delay)\\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]+delay\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S1[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S1[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n s_inp_S2[itr, time>R1_on+rnd[itr]+redset_comp+delay] = 10.\\n s_inp_S2[itr, time>1+R1_on+rnd[itr]+redset_comp+delay] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval+delay, time<R1_on+rnd[itr]+delay)\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval+delay, time<R1_on+rnd[itr]+redset_comp+delay)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask+delay)\\n \\n elif align_set:\\n fixT = R1_on + np.max(tss)\\n\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]-delayF] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]-delayF] = 0.\\n \\n s_inp_S1[itr, time>fixT-delayF] = 10.\\n s_inp_S1[itr, time>1+fixT-delayF] = 0.\\n \\n \\n s_inp_S2[itr, time>fixT] = 10.\\n s_inp_S2[itr, time>1+fixT] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n else:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]-delayF] = 10.\\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]-delayF] = 0.\\n \\n s_inp_S1[itr, time>fixT2-redset-delayF] = 10.\\n s_inp_S1[itr, time>1+fixT2-redset-delayF] = 0.\\n \\n s_inp_S2[itr, time>fixT2-redset] = 10.\\n s_inp_S2[itr, time>1+fixT2-redset] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n \\n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S1\\n inputt[:,:,0] += s_inp_S2\\n \\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\ndef create_inp_out_rSSg_2in(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1, delayF = 0, \\n delay_min = 20, delay_max = 250, noset=False, noready=False, align_set = False, align_go = False):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 2))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S1 = np.zeros((trials, Nt))\\n s_inp_S2 = np.zeros((trials, Nt))\\n \\n \\n if delayF==0:\\n delayF = np.round(np.mean((delay_min, delay_max)))\\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n delay = np.random.randint(delay_min, delay_max)\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]+delay-interval, time<R1_on+rnd[itr]+delay)\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+delay+interval, time<R1_on+rnd[itr]+2*interval+delay)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+delay)\\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]+delay\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S1[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S1[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n s_inp_S2[itr, time>R1_on+rnd[itr]+redset_comp+delay] = 10.\\n s_inp_S2[itr, time>1+R1_on+rnd[itr]+redset_comp+delay] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval+delay, time<R1_on+rnd[itr]+delay)\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval+delay, time<R1_on+rnd[itr]+redset_comp+delay)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask+delay)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask+delay)\\n \\n elif align_set:\\n fixT = R1_on + np.max(tss)\\n\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]-delayF] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]-delayF] = 0.\\n \\n s_inp_S1[itr, time>fixT-delayF] = 10.\\n s_inp_S1[itr, time>1+fixT-delayF] = 0.\\n \\n \\n s_inp_S2[itr, time>fixT] = 10.\\n s_inp_S2[itr, time>1+fixT] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n else:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]-delayF] = 10.\\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]-delayF] = 0.\\n \\n s_inp_S1[itr, time>fixT2-redset-delayF] = 10.\\n s_inp_S1[itr, time>1+fixT2-redset-delayF] = 0.\\n \\n s_inp_S2[itr, time>fixT2-redset] = 10.\\n s_inp_S2[itr, time>1+fixT2-redset] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S1\\n inputt[:,:,1] += s_inp_S2\\n \\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n \\n \\ndef create_inp_out_rsg_justramp(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \\n perc = 0.1, perc1 = 0.1, inc_mask = 30, \\n noset=False, noready=False, align_set = False, align_go = False):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 1))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+2*redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_comp+2*redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+2+rnd[itr]+inc_mask)\\n \\n elif align_set:\\n fixT = R1_on + np.max(tss)\\n\\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT] = 10.\\n s_inp_S[itr, time>1+fixT] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n else:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-2*redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT2-2*redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT2-redset] = 10.\\n s_inp_S[itr, time>1+fixT2-redset] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, 0, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n \\n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\ndef create_inp_out_rsg_justramp2(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, \\n perc = 0.1, perc1 = 0.1, inc_mask = 30, FF = 1.25,\\n noset=False, noready=False, align_set = False, align_go = False,conti = True):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 1))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n \\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+interval, time<R1_on+rnd[itr]+2*interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+FF*redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_comp+FF*redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_S[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n if conti:\\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+FF*redset+R1_on+1+rnd[itr])\\n else:\\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr])\\n \\n elif align_set:\\n fixT = R1_on + np.max(tss)\\n\\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT] = 10.\\n s_inp_S[itr, time>1+fixT] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT-interval, time<fixT)\\n mask22 = np.logical_and(time>fixT+redset, time<fixT+redset_comp+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n else:\\n fixT = R1_on + np.max(tss)\\n fixT2 = R1_on + np.max(tss)*2\\n \\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+fixT-R1_on+rnd[itr]] = 0.\\n\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>fixT2-redset)*(time<fixT2)\\n mask_aft = time>=fixT2\\n s_inp_R[itr, time>fixT2-FF*redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT2-FF*redset_comp+1-rnd[itr]] = 0.\\n \\n s_inp_S[itr, time>fixT2-redset] = 10.\\n s_inp_S[itr, time>1+fixT2-redset] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>fixT2-redset-interval, time<fixT2-redset)\\n mask22 = np.logical_and(time>fixT2, time<fixT2+interval)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, 0, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n \\n #maskt[itr,:,0] = (time>set_time-inc_mask)*(time<1+set_time+redset_comp+inc_mask)\\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n#%%\\n#def create_inp_out_rsg_2out(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1):\\n# '''\\n# trials: Number of trials\\n# Nt : Number of time points\\n# tss : Intervals between set and go\\n# R1_on: Time of ready\\n# SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n# perc: Percentage of trials in which no transient inputs appear\\n# perc1: Percentage of trials in which only the ready cue appears\\n# '''\\n# \\n# n_ts = len(tss)\\n# time = np.arange(Nt)\\n# \\n# tss_comp = np.round(tss/fact)\\n# \\n# strt = -0.5\\n# inputt = np.zeros(( trials, Nt, 1))\\n# outputt = strt*np.ones((trials, Nt, 2))\\n# maskt = np.zeros((trials, Nt, 2))\\n# inc_mask = 30\\n# \\n# interval = 35\\n# \\n#\\n# s_inp_R = np.zeros((trials, Nt))\\n# s_inp_S = np.zeros((trials, Nt))\\n# \\n# fixT = R1_on + np.max(tss)\\n# \\n# if just==-1: #all types of trials \\n# ct = np.random.randint(n_ts, size = trials)\\n# \\n# else:\\n# ct = just*np.ones(trials, dtype = np.int8)\\n# \\n# # Don't have nor set nor ready cue in a set of inputs\\n# ct2 = np.random.rand(trials)<perc\\n# \\n# # Don't have a set cue\\n# ct3 = np.random.rand(trials)<perc1\\n# \\n# \\n# rnd = np.zeros(trials)\\n# if SR1_on>0:\\n# rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n#\\n# for itr in range(trials): \\n# redset = tss[ct[itr]]\\n# redset_comp = tss_comp[ct[itr]]\\n# if ct2[itr]:\\n# maskt[itr,:,0] = time<Nt\\n# s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n# s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n# \\n# \\n# #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n# if ct3[itr] and ~ct2[itr]:\\n# maskt[itr,:,0] = time<Nt\\n# else:\\n# maskt[itr,:,0] = (time>1+fixT)*(time<redset+1+fixT)\\n# mask_aft = time>=redset+1+fixT\\n# s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\\n# s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\\n# \\n# outputt[itr,:,1] = 0.\\n# mask11 = np.logical_and(time>fixT-redset_comp-rnd[itr]-interval, time<fixT-redset_comp-rnd[itr]-1)\\n# mask22 = np.logical_and(time>fixT-redset_comp-rnd[itr]+interval, time<fixT-1)\\n# outputt[itr,mask11,1] = strt\\n# outputt[itr,mask22,1] = -strt\\n# maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n# \\n# s_inp_S[itr, time>fixT] = 10. #R1_on+rnd[itr]+redset_comp\\n# s_inp_S[itr, time>1+fixT] = 0.\\n# \\n# if sum(maskt[itr,:,0]):\\n# outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n# outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n# \\n# maskt[itr,:,0] = (time>fixT-inc_mask)*(time<redset+1+fixT+inc_mask)\\n#\\n# inputt[:,:,0] = s_inp_R+s_inp_S\\n# \\n# \\n# dtype = torch.FloatTensor \\n# inputt = torch.from_numpy(inputt).type(dtype)\\n# outputt = torch.from_numpy(outputt).type(dtype)\\n# maskt = torch.from_numpy(maskt).type(dtype)\\n# \\n# return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_rsg4(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.1):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 3))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n inc_mask = 30\\n \\n r_inp = np.ones((trials, Nt))\\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n fixT = R1_on + np.max(tss)\\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n s_inp_R[itr, time>fixT-R1_on+rnd[itr]] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n \\n #s_inp_R[itr, time>1+R1_on+rnd[itr]] = 0.\\n if ct3[itr] and ~ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+1+fixT)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-redset_comp-rnd[itr]] = 10.\\n s_inp_R[itr, time>fixT-redset_comp+1-rnd[itr]] = 0.\\n s_inp_S[itr, time>fixT] = 10. #R1_on+rnd[itr]+redset_comp\\n s_inp_S[itr, time>1+fixT] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>fixT-inc_mask)*(time<redset+1+fixT+inc_mask)\\n\\n inputt[:,:,0] = r_inp\\n inputt[:,:,1] = s_inp_R\\n inputt[:,:,2] = s_inp_S\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n#%%\\ndef create_inp_out_rsg_step(trials, Nt, tss, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, perc1 = 0.0, noready=False):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 1))\\n outputt = strt*np.ones((trials, Nt, 2))\\n maskt = np.zeros((trials, Nt, 2))\\n interval = np.min(tss_comp)//2\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S = np.zeros((trials, Nt))\\n \\n \\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n # Don't have a set cue\\n ct3 = np.random.rand(trials)<perc1\\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n\\n if ct3[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+redset_comp)*(time<redset_comp+redset+R1_on+1+rnd[itr])\\n mask_aft = time>=redset_comp+redset+R1_on+1+rnd[itr]\\n s_inp_R[itr, time>R1_on+rnd[itr]] = 1.\\n #s_inp_R[itr, time>R1_on+rnd[itr]+1] = 0.\\n #s_inp_S[itr, time>R1_on+rnd[itr]+redset_comp] = 10.\\n s_inp_R[itr, time>1+R1_on+rnd[itr]+redset_comp] = 0.\\n \\n \\n outputt[itr,:,1] = 0.\\n mask11 = np.logical_and(time>R1_on+rnd[itr]-interval, time<R1_on+rnd[itr])\\n mask22 = np.logical_and(time>R1_on+rnd[itr]+redset_comp-interval, time<R1_on+rnd[itr]+redset_comp)\\n outputt[itr,mask11,1] = strt\\n outputt[itr,mask22,1] = -strt\\n maskt[itr,:,1] =np.logical_or(mask11, mask22)\\n \\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>redset_comp+R1_on+1+rnd[itr]-inc_mask)*(time<redset_comp+redset+R1_on+1+rnd[itr]+inc_mask)\\n\\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, ct3)\\n \\n#%%\\ndef create_inp_out_csgdelay_2in(trials, Nt, tss, amps, R1_on, SR1_on, fact = 5, just=-1, perc = 0.1, \\n delayF = 0, delay_min = 20, delay_max = 250, noset=False, \\n noready=False, align_set = False, align_go = False):\\n '''\\n trials: Number of trials\\n Nt : Number of time points\\n tss : Intervals between set and go\\n R1_on: Time of ready\\n SR1_on: Standard deviation of the temporal onset of \\\"Ready\\\".\\n perc: Percentage of trials in which no transient inputs appear\\n perc1: Percentage of trials in which only the ready cue appears\\n '''\\n \\n n_ts = len(tss)\\n time = np.arange(Nt)\\n \\n tss_comp = np.round(tss/fact)\\n \\n strt = -0.5\\n inputt = np.zeros(( trials, Nt, 2))\\n outputt = strt*np.ones((trials, Nt, 1))\\n maskt = np.zeros((trials, Nt, 1))\\n inc_mask = 30\\n \\n s_inp_R = np.zeros((trials, Nt))\\n s_inp_S1 = np.zeros((trials, Nt))\\n s_inp_S2 = np.zeros((trials, Nt))\\n \\n length = 2*np.mean(tss) # I changed this in July20\\n \\n delays = np.zeros(trials)\\n if delayF==0:\\n delayF = np.round(np.mean((delay_min, delay_max)))\\n \\n if just==-1: #all types of trials \\n ct = np.random.randint(n_ts, size = trials)\\n \\n else:\\n ct = just*np.ones(trials, dtype = np.int8)\\n \\n # Don't have nor set nor ready cue in a set of inputs\\n ct2 = np.random.rand(trials)<perc\\n \\n \\n \\n rnd = np.zeros(trials)\\n if SR1_on>0:\\n rnd = np.random.randint(-SR1_on, SR1_on, trials)\\n if not align_set and not align_go:\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n amp_c = amps[ct[itr]]\\n delay = np.random.randint(delay_min, delay_max)\\n delays[itr] = delay\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>R1_on+1+rnd[itr]+length+delay)*(time<redset_comp+length+R1_on+1+rnd[itr]+delay)\\n mask_aft = time>=redset_comp+length+R1_on+1+rnd[itr]+delay\\n s_inp_R[itr, time>R1_on+rnd[itr]] = amp_c\\n s_inp_R[itr, time>1+R1_on+rnd[itr]+length] = 0.\\n \\n s_inp_S2[itr, time>R1_on+rnd[itr]+length+delay] = 10.\\n s_inp_S2[itr, time>1+R1_on+rnd[itr]+length+delay] = 0.\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n maskt[itr,:,0] = (time>length+R1_on+1+rnd[itr]-inc_mask+delay)*(time<length+redset+R1_on+1+rnd[itr]+inc_mask+delay)\\n elif align_set:\\n fixT = R1_on + np.max(tss)\\n for itr in range(trials): \\n redset = tss[ct[itr]]\\n redset_comp = tss_comp[ct[itr]]\\n amp_c = amps[ct[itr]]\\n\\n if ct2[itr]:\\n maskt[itr,:,0] = time<Nt\\n else:\\n maskt[itr,:,0] = (time>1+fixT)*(time<redset+fixT+1)\\n mask_aft = time>=redset+1+fixT\\n s_inp_R[itr, time>fixT-length-delayF] = amp_c\\n s_inp_R[itr, time>1+fixT-delayF] = 0.\\n \\n \\n s_inp_S2[itr, time>fixT] = 10.\\n s_inp_S2[itr, time>1+fixT] = 0.\\n\\n \\n if sum(maskt[itr,:,0]):\\n outputt[itr, maskt[itr,:,0]==1.,0] = np.linspace(strt, -strt, int(sum(maskt[itr,:,0])), endpoint=True)\\n outputt[itr, mask_aft==1,0] = np.linspace(-strt, -strt, int(sum(mask_aft)), endpoint=True)\\n \\n\\n \\n if noready ==False:\\n inputt[:,:,0] += s_inp_R\\n if noset==False:\\n inputt[:,:,0] += s_inp_S1\\n inputt[:,:,1] += s_inp_S2\\n \\n \\n \\n dtype = torch.FloatTensor \\n inputt = torch.from_numpy(inputt).type(dtype)\\n outputt = torch.from_numpy(outputt).type(dtype)\\n maskt = torch.from_numpy(maskt).type(dtype)\\n \\n return(inputt, outputt, maskt, ct, ct2, delays)\"\n },\n {\n \"alpha_fraction\": 0.5019564628601074,\n \"alphanum_fraction\": 0.579774022102356,\n \"avg_line_length\": 30.17182159423828,\n \"blob_id\": \"a509398de771374ce8c0c505226a8845cc81fd05\",\n \"content_id\": \"44d0875a7eb7cf58c63e421eb9cec38ae9b137e2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 18145,\n \"license_type\": \"no_license\",\n \"max_line_length\": 138,\n \"num_lines\": 582,\n \"path\": \"/C_Fig3_EFGH.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 200\\nnbins = 20\\ns_mn1 = 0.5\\ns_mn2 = 1.2\\nm1 = np.random.randn(N)\\nm1 = m1/np.std(m1)\\nm2 = np.random.randn(N)\\nm2 = m2/np.std(m2)\\nms = np.linspace(-3, 3)\\n\\nn1 = s_mn1*m1+0.3*np.random.randn(N)\\nn2 = s_mn2*m2+0.3*np.random.randn(N)\\n\\n\\n#%%\\n# =============================================================================\\n# Fig 2\\n# =============================================================================\\nms = np.linspace(-5,5,100)\\nSigma = np.zeros((2,2))\\nSigma[0,0] = 1.6\\nSigma[1,1] = 1.6\\nSigma[0,1] = -0.8\\nSigma[1,0] = 0.8\\n\\n\\nN = 1000\\nS=10\\nM = np.random.randn(N,2)\\nM = M/np.std(M,0)\\nss2 = 0.3\\n\\nN = np.dot(Sigma, M.T)+ss2*np.random.randn(2,N)\\n\\nfig = plt.figure(figsize=[3.2, 3.2], dpi=600)\\ngs = GridSpec(5,5)\\n\\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\\n\\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\\n\\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\\n\\nax_joint00.scatter(M[:,0], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint00.plot(ms, Sigma[0,0]*ms, '--', c='k', lw=1)\\nax_joint00.set_xlim([-3,3])\\nax_joint00.set_xticks([-2., 0, 2.])\\nax_joint00.set_xticklabels(['','',''])\\nax_joint00.set_ylim([-5.5,5.5])\\nax_joint00.set_yticks([-5, 0, 5])\\nax_joint00.set_ylabel(r'$n^{\\\\left(1\\\\right)}_i$')\\nax_joint00.spines['top'].set_visible(False)\\nax_joint00.spines['right'].set_visible(False)\\nax_joint00.yaxis.set_ticks_position('left')\\nax_joint00.xaxis.set_ticks_position('bottom')\\n \\nax_joint01.scatter(M[:,1], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint01.plot(ms, Sigma[0,1]*ms*np.std(N[0,:]), '--', c='k', lw=1)\\nax_joint01.spines['top'].set_visible(False)\\nax_joint01.spines['right'].set_visible(False)\\nax_joint01.yaxis.set_ticks_position('left')\\nax_joint01.xaxis.set_ticks_position('bottom')\\nax_joint01.set_ylim([-5.5,5.5])\\nax_joint01.set_yticks([-5, 0, 5])\\nax_joint01.set_yticklabels(['','',''])\\nax_joint01.set_xlim([-3,3])\\nax_joint01.set_xticks([-2., 0, 2.])\\nax_joint01.set_xticklabels(['','',''])\\n\\nax_joint10.scatter(M[:,0], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint10.plot(ms, Sigma[1,0]*ms*np.std(N[1,:]), '--', c='k', lw=1)\\nax_joint10.set_xlim([-3,3])\\nax_joint10.spines['top'].set_visible(False)\\nax_joint10.spines['right'].set_visible(False)\\nax_joint10.yaxis.set_ticks_position('left')\\nax_joint10.xaxis.set_ticks_position('bottom')\\nax_joint10.set_ylim([-5.5,5.5])\\nax_joint10.set_yticks([-5, 0, 5])\\nax_joint10.set_xlim([-3,3])\\nax_joint10.set_xticks([-2., 0, 2.])\\nax_joint10.set_ylabel(r'$n^{\\\\left(2\\\\right)}_i$')\\nax_joint10.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n\\nax_joint11.scatter(M[:,1], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint11.plot(ms, Sigma[1,1]*ms, '--', c='k', lw=1)\\nax_joint11.set_xlim([-3,3])\\nax_joint11.spines['top'].set_visible(False)\\nax_joint11.spines['right'].set_visible(False)\\nax_joint11.set_ylim([-5.5,5.5])\\nax_joint11.set_yticks([-5, 0, 5])\\nax_joint11.set_xticks([-2., 0, 2.])\\nax_joint11.set_xlim([-3,3])\\nax_joint11.set_yticklabels(['','',''])\\nax_joint11.yaxis.set_ticks_position('left')\\nax_joint11.xaxis.set_ticks_position('bottom')\\nax_joint11.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n\\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\n\\nax_marg_x0.spines['top'].set_visible(False)\\nax_marg_x0.spines['right'].set_visible(False)\\nax_marg_x0.spines['left'].set_visible(False)\\nax_marg_x0.yaxis.set_ticks_position('left')\\nax_marg_x0.xaxis.set_ticks_position('bottom')\\nax_marg_x0.set_xlim([-3,3])\\nax_marg_x0.set_xticks([-2., 0, 2.])\\nax_marg_x0.set_ylim([0,0.45])\\nax_marg_x0.set_xticklabels(['','',''])\\nax_marg_x0.set_yticks([1])\\n\\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\nax_marg_x1.spines['top'].set_visible(False)\\nax_marg_x1.spines['right'].set_visible(False)\\nax_marg_x1.spines['left'].set_visible(False)\\nax_marg_x1.yaxis.set_ticks_position('left')\\nax_marg_x1.xaxis.set_ticks_position('bottom')\\nax_marg_x1.set_xlim([-3,3])\\nax_marg_x1.set_ylim([0,0.45])\\nax_marg_x1.set_xticks([-2., 0, 2.])\\nax_marg_x1.set_xticklabels(['','',''])\\nax_marg_x1.set_yticks([1])\\n\\nax_marg_y0.hist(N[0,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(Sigma[0,0]**2+ss2**2)\\nax_marg_y0.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y0.spines['top'].set_visible(False)\\nax_marg_y0.spines['right'].set_visible(False)\\nax_marg_y0.spines['bottom'].set_visible(False)\\nax_marg_y0.yaxis.set_ticks_position('left')\\nax_marg_y0.xaxis.set_ticks_position('bottom')\\nax_marg_y0.set_ylim([-5.5,5.5])\\nax_marg_y0.set_xlim([0,0.45])\\nax_marg_y0.set_yticks([-5., 0, 5.])\\nax_marg_y0.set_yticklabels(['','',''])\\nax_marg_y0.set_xticks([1])\\nax_marg_y0.set_xticklabels([''])\\n\\nax_marg_y1.hist(N[1,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(Sigma[1,1]**2+ss2**2)\\nax_marg_y1.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y1.spines['top'].set_visible(False)\\nax_marg_y1.spines['right'].set_visible(False)\\nax_marg_y1.spines['bottom'].set_visible(False)\\nax_marg_y1.yaxis.set_ticks_position('left')\\nax_marg_y1.xaxis.set_ticks_position('bottom')\\nax_marg_y1.set_ylim([-5.5,5.5])\\nax_marg_y1.set_xlim([0,0.45])\\nax_marg_y1.set_yticks([-5., 0, 5.])\\nax_marg_y1.set_yticklabels(['','',''])\\nax_marg_y1.set_xticks([1])\\nax_marg_y1.set_xticklabels([''])\\n\\nplt.savefig('Th_Fig3_1_A.pdf')\\n\\n#%%\\nplt.rcParams[\\\"axes.grid\\\"] = False\\nfig = plt.figure(figsize = [2.0, 2.0])\\nax = fig.add_subplot(111) \\nplt.imshow(Sigma, cmap='coolwarm', vmin = -4, vmax = 4)\\nax.tick_params(color='white')\\n\\n\\nfor i in range(np.shape(Sigma)[0]):\\n for j in range(np.shape(Sigma)[1]):\\n ax.text(i, j, str(Sigma[j,i]), va='center', ha='center', fontsize=16)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([0, 1])\\nax.set_yticks([0, 1])\\n\\n\\nax.set_xticklabels([r'$m_i^{\\\\left(1\\\\right)}$', r'$m_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\nax.set_yticklabels([r'$n_i^{\\\\left(1\\\\right)}$', r'$n_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\n\\nplt.savefig('Th_Fig3_1_B.pdf')\\n\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nu, v = np.linalg.eig(Sigma)\\nl1 = -0.5\\nl2 = 2.\\nl11 = -1.1\\nl22 = 1.1\\n\\ncC = np.array((1, 1, 1,))*0.3\\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\\nplt.plot([-0.05, 0.05], [1,1], 'k', lw=0.5)\\nplt.plot([-0.05, 0.05], [-1,-1], 'k', lw=0.5)\\nplt.plot([1,1], [-0.05, 0.05], 'k', lw=0.5)\\n\\n\\nplt.plot( [0,0],[l11, l22], 'k', lw=0.5)\\nplt.plot( [1,1],[l11, l22], 'k', lw=6., alpha=0.1)\\n\\n#ax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\\n# head_width=0.2, head_length=0.2)\\n#ax.arrow(0, 0, u[1]*v[0,1], u[1]*v[1,1], fc=cC, ec=cC, alpha =0.8, width=0.06,\\n# head_width=0.2, head_length=0.2)\\nplt.scatter(np.real(u), np.imag(u), s=90, facecolor=0.6*np.ones(3), edgecolor='k')\\n\\nplt.plot()\\nax.text(1.3, 0.1, r'Re $ \\\\lambda$', fontsize = 18)\\nax.text(0.1, 0.7, r'Im $\\\\lambda$', fontsize = 18)\\n\\n\\nax.set_xlim([l1, l2])\\nax.set_ylim([l11, l22])\\n\\nax.axis('off')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nplt.savefig('Th_Fig3_1_B1.pdf')\\n\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nu, v = np.linalg.eig(Sigma)\\nl1 = -1.\\nl2 = 1.\\nl11 = -1.\\nl22 = 1\\n\\ncC = np.array((1, 1, 1,))*0.3\\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\\n#plt.plot([-0.05, 0.05], [1,1], 'k', lw=0.5)\\n#plt.plot([-0.05, 0.05], [-1,-1], 'k', lw=0.5)\\n#plt.plot([1,1], [-0.05, 0.05], 'k', lw=0.5)\\n\\n\\nplt.plot( [0,0],[l11, l22], 'k', lw=0.5)\\n#plt.plot( [1,1],[l11, l22], 'k', lw=6., alpha=0.1)\\n\\n#ax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\\n# head_width=0.2, head_length=0.2)\\nax.arrow(0, 0, np.real(v[0,0]), np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2)\\n#plt.scatter(np.real(u), np.imag(u), s=90, facecolor=0.6*np.ones(3), edgecolor='k')\\n\\nplt.plot()\\nax.text(0.9, 0.05, r'$ \\\\kappa_1$', fontsize = 18)\\nax.text(0.05, 0.9, r'$\\\\kappa_2$', fontsize = 18)\\nax.text(0.1, 0.5, r'Re($\\\\bf{u}$)', fontsize = 18)\\n\\n\\nax.set_xlim([l1, l2])\\nax.set_ylim([l11, l22])\\n\\nax.axis('off')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nplt.savefig('Th_Fig3_1_B2.pdf')\\n\\n\\n\\n\\n\\n#%%\\nkaps1 = np.linspace(-1.3,1.3, 130)\\nkaps2 = np.linspace(-1.3,1.3, 100)\\nksol = np.zeros((len(kaps1), len(kaps2), 2))\\n\\nK1s, K2s = np.meshgrid(kaps1, kaps2)\\ndef transf(K):\\n return(K*Prime(0, np.dot(K.T, K)))\\n \\nE = np.zeros((len(kaps1), len(kaps2)))\\nfor ik1 ,k1 in enumerate(kaps1):\\n for ik2, k2 in enumerate(kaps2):\\n K = np.array((k1, k2))\\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\\n \\n\\n\\nsearch_kap1 = np.linspace(0.2, 1.3, 300)\\nE_1 = np.zeros_like(search_kap1)\\nfor ik1 ,k1 in enumerate(search_kap1):\\n K = k1*np.array((1,0))\\n kSS = - K+ np.dot(Sigma, transf(K))\\n E_1[ik1] = np.sqrt(np.sum(kSS[0]**2))\\nfp1 = search_kap1[np.argmin(E_1)]\\n\\nsearch_kap2 = np.linspace(0.2, 1.3, 300)\\nE_2 = np.zeros_like(search_kap1)\\nfor ik2 ,k2 in enumerate(search_kap2):\\n K = v[:,1]*k2\\n kSS = - K+ np.dot(Sigma, transf(K))\\n E_2[ik2] = np.sqrt(np.sum(kSS**2))\\nfp2 = search_kap2[np.argmin(E_2)]\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0)\\n\\n#cbar = ax.figure.colorbar(im, ax=ax)\\n#cbar.set_ticks([-2, -1, 0])\\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\\n#cbar.set_label(r'$\\\\log_{10}$ speed', rotation=270, labelpad=18)\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0,], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\\n\\nth = np.linspace(0, 2*np.pi)\\n\\n#plt.plot(fp1*np.cos(th), fp1*np.sin(th), '--w', lw=3)\\nplt.plot(fp1*np.cos(th), fp1*np.sin(th), '--k')\\n\\n#ax.arrow(0, 0, np.real(v[0,0]), np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\\n#ax.arrow(0, 0, -np.real(v[0,0]), -np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\\n\\n\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\nplt.savefig('Th_Fig3_1_C1.pdf')\\n\\n\\n\\n#%%\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0,], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\\n\\nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0)\\n\\n#cbar = ax.figure.colorbar(im, ax=ax)\\n#cbar.set_ticks([-2, -1, 0])\\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\\n#cbar.set_label(r'$\\\\log_{10}$ speed', rotation=270, labelpad=18)\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0,], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n\\n\\n#plt.plot(fp1*np.cos(th), fp1*np.sin(th), c='w', lw=3)\\n#plt.plot(fp1*np.cos(th), fp1*np.sin(th), c='k')\\n\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\n\\nNn = 1000\\nSigmaTot = np.eye(4)\\nSigmaTot[2,2] = 4\\nSigmaTot[3,3] = 4\\n\\nSigmaTot[0,2] = Sigma[0,0]\\nSigmaTot[0,3] = Sigma[1,0]\\nSigmaTot[1,2] = Sigma[0,1]\\nSigmaTot[1,3] = Sigma[1,1]\\n\\nSigmaTot[2,0] = SigmaTot[0,2]\\nSigmaTot[3,0] = SigmaTot[0,3]\\nSigmaTot[2,1] = SigmaTot[1,2]\\nSigmaTot[3,1] = SigmaTot[1,3]\\n\\nMu= np.zeros((4,1))\\n\\ninkap1 = np.linspace(-1, 1, 4)\\ninkap2 = np.linspace(-1.1, 1.1001, 5)\\n\\ndt = 0.1\\ntime = np.arange(0, 120, dt)\\n\\nfor trials in range(1):\\n try_s0 = 100\\n for tr in range(2):\\n XX = np.random.multivariate_normal(Mu[:,0], SigmaTot, size=Nn)\\n try_s = np.sum((np.dot(XX.T,XX)/1000-SigmaTot)**2)\\n if try_s < try_s0:\\n #print(try_s)\\n try_s0 = try_s\\n XX_s = XX\\n M = XX_s[:,0:2]\\n N = XX_s[:,2:4]\\n \\n J = np.dot(M, N.T)/Nn\\n \\n cC = np.ones(3)*0.6#+trials*np.array((0.1, 0, 0))\\n \\n \\n for ik1, ink1 in enumerate(inkap1):\\n for ik2, ink2 in enumerate(inkap2):\\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n \\n x0 = ink1*M[:,0] + ink2*M[:,1]\\n sk1[0] = np.mean(M[:,0]*x0)\\n sk2[0] = np.mean(M[:,1]*x0)\\n \\n for it, ti in enumerate(time[:-1]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\\n sk1[it+1] = np.mean(M[:,0]*x)\\n sk2[it+1] = np.mean(M[:,1]*x)\\n x0 = x\\n plt.plot(sk1, sk2, c=cC)\\n plt.scatter(sk1[0], sk2[0], s=10, facecolor=cC)\\n plt.scatter(sk1[-1], sk2[-1], s=25, facecolor=cC, edgecolor='k', zorder=4)\\n \\n#ax.arrow(0, 0, np.real(v[0,0]), np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\\n#ax.arrow(0, 0, -np.real(v[0,0]), -np.real(v[1,0]), fc=cC, ec=cC, alpha =0.8, width=0.06, head_width=0.2, head_length=0.2, zorder=4)\\n\\nplt.plot(fp1*np.cos(th), fp1*np.sin(th), '--k')\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\n \\n#ax.spines['top'].set_visible(False)\\n#ax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig3_1_D.pdf') \\n\\n#%%\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nplt.plot(time, sk2, '--', c=cC, label=r\\\"$\\\\kappa_2$\\\")\\nplt.plot(time, sk1, c=cC, label=r\\\"$\\\\kappa_1$\\\")\\nplt.legend(frameon=False, loc =2)\\nplt.xlabel('time')\\nplt.ylabel('$\\\\kappa$')\\nplt.xlim([0,40])\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig3_1_E.pdf') \\n \\n#%%\\n\\ns_w = Sigma[0,1]\\nsS = Sigma[0,0]\\nsigmas = np.linspace(0, 4, 300)\\nfreq_ = np.zeros_like(sigmas)\\nfor iS, sI in enumerate(sigmas):\\n if sI>1:\\n freq_[iS] = np.abs(s_w)/sI\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nplt.plot(sigmas, freq_ , color=np.ones(3)*0.5, lw=2.)\\n\\n\\ntry_s = np.linspace(1.05, 4, 8)\\nfor iS, sI in enumerate(try_s):\\n for trials in range(5):\\n try_s0 = 100\\n SigmaTot = np.eye(4)\\n SigmaTot[2,2] = 4\\n SigmaTot[3,3] = 4\\n \\n SigmaTot[0,2] = sI\\n SigmaTot[0,3] = Sigma[1,0]\\n SigmaTot[1,2] = Sigma[0,1]\\n SigmaTot[1,3] = sI\\n \\n SigmaTot[2,0] = SigmaTot[0,2]\\n SigmaTot[3,0] = SigmaTot[0,3]\\n SigmaTot[2,1] = SigmaTot[1,2]\\n SigmaTot[3,1] = SigmaTot[1,3]\\n\\n for tr in range(50):\\n XX = np.random.multivariate_normal(Mu[:,0], SigmaTot, size=Nn)\\n try_s = np.sum((np.dot(XX.T,XX)/1000-SigmaTot)**2)\\n if try_s < try_s0:\\n #print(try_s)\\n try_s0 = try_s\\n XX_s = XX\\n M = XX_s[:,0:2]\\n N = XX_s[:,2:4]\\n \\n J = np.dot(M, N.T)/Nn\\n \\n cC = np.ones(3)*0.6#+trials*np.array((0.1, 0, 0))\\n \\n ink1 = 0.1*np.random.rand()\\n ink2 = 0.1*np.random.rand()\\n \\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n \\n x0 = ink1*M[:,0] + ink2*M[:,1]\\n sk1[0] = np.mean(M[:,0]*x0)\\n sk2[0] = np.mean(M[:,1]*x0)\\n \\n for it, ti in enumerate(time[:-100]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\\n sk1[it+1] = np.mean(M[:,0]*x)\\n sk2[it+1] = np.mean(M[:,1]*x)\\n x0 = x\\n \\n sk1[0] = sk1[it+1]\\n sk2[0] = sk2[it+1]\\n \\n for it, ti in enumerate(time[:-1]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\\n sk1[it+1] = np.mean(M[:,0]*x)\\n sk2[it+1] = np.mean(M[:,1]*x)\\n x0 = x\\n \\n phase = np.arctan2(sk2, sk1)*180/np.pi\\n\\n mas = np.diff(phase)<-1\\n phaseN = phase[0:-1]\\n timeN = time[0:-1]\\n \\n \\n freq = (2*np.pi)/np.mean(np.diff(timeN[mas]))\\n plt.scatter(sI, freq, color=0.5*np.ones(3), s=30, edgecolor='k', alpha=0.7, zorder=3)\\nplt.scatter(Sigma[1,1], 0.04, marker='^', facecolor= 0.2*np.ones(3), edgecolor='k', s= 60)\\n#plt.plot(time, sk1, c=cC, label=r\\\"$\\\\kappa_1$\\\")\\nplt.xlabel('$\\\\sigma_{mn}$')\\nplt.ylabel(r'frequency')\\n#plt.xlim([0,40])\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig3_1_F.pdf') \\n\"\n },\n {\n \"alpha_fraction\": 0.394023597240448,\n \"alphanum_fraction\": 0.43124741315841675,\n \"avg_line_length\": 36.03303527832031,\n \"blob_id\": \"11f6a2d2f1e02622215ec1064e7831fd169e8a9b\",\n \"content_id\": \"77d3a9942eeb90a5be6f897892f60259631218d8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 29148,\n \"license_type\": \"no_license\",\n \"max_line_length\": 159,\n \"num_lines\": 787,\n \"path\": \"/C_Fig7_allpanels.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Thu Apr 9 11:12:47 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nimport matplotlib.patches as patches\\nfrom scipy.linalg import sqrtm\\n#from matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\nverbose = False\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\ndef func(sol, mu=1.):\\n s = np.zeros_like(sol)\\n s[0] = sol[1]\\n s[1] = -sol[0]+mu*(1-sol[0]**2)*sol[1]\\n return(s)\\n \\ndef funcG(sol, Sigma, sMx, sMy, sI, muMx, muMy, muN, muI):\\n s = np.zeros_like(sol)\\n S = np.shape(Sigma)[2]\\n for iS in range(S):\\n Mu = muI[iS] + sol[0]*muMx[iS] + sol[1]*muMy[iS]\\n Delta = sI[iS] + sMx[iS]*sol[0]**2 + sMy[iS]*sol[1]**2\\n \\n P = Prime(Mu, Delta)\\n P1 = muN[:,iS]*Phi(Mu, Delta) \\n \\n s += P1 + np.dot(Sigma[:,:,iS], np.array((sol[0],sol[1])))*P\\n s[0] = s[0]/S-sol[0]\\n s[1] = s[1]/S-sol[1]\\n return(s)\\n \\ndef VP_field( xs, ys, mu=1.):\\n X, Y = np.meshgrid(xs,ys)\\n U = np.zeros_like(X)\\n V = np.zeros_like(X)\\n \\n for ix, x in enumerate(xs):\\n for iy, y in enumerate(ys):\\n U[ix, iy] = y\\n V[ix, iy] = -x+mu*(1-x**2)*y\\n \\n E = np.sqrt(U**2+V**2)\\n return(X, Y, E, U, V)\\n\\ndef VP_func( x, y, mu=1.):\\n\\n U = y\\n V = -x+mu*(1-x**2)*y\\n \\n return( U, V)\\n\\n\\ndef VP_field2( xs, ys, mu=1.):\\n X, Y = np.meshgrid(xs,ys)\\n U = np.zeros_like(X)\\n V = np.zeros_like(X)\\n \\n for ix, x in enumerate(xs):\\n for iy, y in enumerate(ys):\\n delta = x**2+y**2\\n U[ix, iy] = -x+(2*x-0*y)*Prime(0,delta)\\n V[ix, iy] = -y+(0*x+1.2*y)*Prime(0,delta)\\n \\n E = np.sqrt(U**2+V**2)\\n return(X, Y, E, U, V)\\n \\ndef VP_func2( x, y, mu=1.):\\n\\n delta = x**2+y**2\\n U = -x+(2*x-0*y)*Prime(0,delta)\\n V = -y+(0*x+1.2*y)*Prime(0,delta)\\n \\n return(U, V)\\n \\n \\ndef VP_approx( xs, ys, Sigma, sMx, sMy, sI, muMx, muMy, muN, muI):\\n X, Y = np.meshgrid(xs,ys)\\n U = np.zeros_like(X)\\n V = np.zeros_like(X)\\n \\n S = np.shape(Sigma)[2]\\n for ix, x in enumerate(xs):\\n for iy, y in enumerate(ys):\\n sol = 0\\n for iS in range(S):\\n Mu = muI[iS] + x*muMx[iS] + y*muMy[iS]\\n Delta = sI[iS] + sMx[iS]*x**2 + sMy[iS]*y**2\\n \\n P = Prime(Mu, Delta)\\n P1 = muN[:,iS]*Phi(Mu, Delta) \\n \\n sol += P1 + np.dot(Sigma[:,:,iS], np.array((x,y)))*P\\n U[ix, iy] = sol[0]/S-x\\n V[ix, iy] = sol[1]/S-y\\n \\n E = np.sqrt(U**2+V**2)\\n return(X, Y, E, U, V)\\n \\ndef VP_approxnum( xs, ys, Mv, Nv, Iv):\\n X, Y = np.meshgrid(xs,ys)\\n U = np.zeros_like(X)\\n V = np.zeros_like(X)\\n \\n for ix, x in enumerate(xs):\\n for iy, y in enumerate(ys):\\n U[ix, iy] = -x + np.mean(Nv[:,0]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\\n V[ix, iy] = -y + np.mean(Nv[:,1]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\\n \\n E = np.sqrt(U**2+V**2)\\n return(X, Y, E, U, V)\\n\\ndef VP_funcnum( x, y, Mv, Nv, Iv):\\n U = -x + np.mean(Nv[:,0]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\\n V = -y + np.mean(Nv[:,1]*np.tanh(Iv+x*Mv[:,0]+y*Mv[:,1]))\\n \\n return(U, V)\\ndef get_network(Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI, S, NperP):\\n \\n# =============================================================================\\n# Initialize matrices\\n# =============================================================================\\n N = S*NperP\\n rank = 2\\n Mv = np.zeros((N, rank))\\n Nv = np.zeros((N, rank))\\n Iv = np.zeros((N))\\n sMxP = np.zeros_like(sMx)\\n sMyP = np.zeros_like(sMy)\\n sIP = np.zeros_like(sI)\\n muMxP = np.zeros_like(muMx)\\n muMyP = np.zeros_like(muMy)\\n MuNP = np.zeros_like(MuN)\\n muIP = np.zeros_like(muI)\\n SigmaP = np.zeros_like(Sigma)\\n# =============================================================================\\n# Go through populations\\n# =============================================================================\\n for iS in range(S): \\n val = -1\\n SS = Sigma[:,:,iS]\\n rSS = np.zeros((5,5)) #BigSigma\\n rSS[0,0] = sMx[iS] #m1^2\\n rSS[1,1] = sMy[iS] #m2^2\\n \\n rSS[0,2] = SS[0,0]\\n rSS[2,0] = rSS[0,2]\\n rSS[0,3] = SS[1,0]\\n rSS[3,0] = rSS[0,3]\\n \\n rSS[1,2] = SS[0,1]\\n rSS[2,1] = rSS[1,2]\\n rSS[1,3] = SS[1,1]\\n rSS[3,1] = rSS[1,3]\\n \\n rSS[2,2] = 1.1\\n rSS[3,3] = 1.1\\n \\n rSS[4,4] = sI[iS]\\n val = np.min(np.linalg.eigvalsh(rSS))\\n \\n #Make BigSigma positive definite\\n #mVal = np.max(np.abs(SS))\\n cnt =0\\n vals = []\\n diag1 = []\\n diag2 = []\\n while val<1e-7:\\n if cnt<200:\\n rSS[2,2] = 1.2*rSS[2,2]\\n rSS[3,3] = 1.2*rSS[3,3]\\n else:\\n rSS[2,2] = 1.02*rSS[2,2]\\n rSS[3,3] = 1.02*rSS[3,3]\\n val = np.min(np.linalg.eigvalsh(rSS))\\n diag1.append(rSS[2,2])\\n diag2.append(rSS[3,3])\\n \\n vals.append(val)\\n cnt +=1\\n \\n Mean = np.array((muMx[iS], muMy[iS],MuN[0,iS], MuN[1,iS], muI[iS] ))\\n \\n error = 1e8\\n counter =0\\n \\n #Take minimal finite-size out of 500 trials\\n while error>0.1 and counter<500:\\n counter+=1\\n Sol = np.random.multivariate_normal(Mean, rSS, NperP) \\n MeanP = np.mean(Sol,0)\\n rSSP = np.cov(Sol.T)\\n rSS_corr = np.zeros_like(rSS)\\n rSS_corr[:,:] = rSS\\n rSS_corr[np.abs(rSS_corr)<1e-10] = 1e-10\\n sol = (rSSP-rSS_corr)/rSS_corr\\n sol[np.abs(sol)>1e8] = 0.\\n sol[2,2] = 0.\\n sol[3,3] = 0.\\n error2 = np.std(sol)+np.std(Mean-MeanP)\\n if error2<error:\\n error=error2\\n Solsav = Sol\\n\\n Sol = Solsav\\n Corr = np.cov(Sol.T)\\n \\n sMxP[iS] = Corr[0,0]\\n sMyP[iS] = Corr[1,1]\\n SigmaP[0,0,iS] = Corr[0,2]\\n SigmaP[0,1,iS] = Corr[0,3]\\n SigmaP[1,0,iS] = Corr[1,2]\\n SigmaP[1,1,iS] = Corr[1,3]\\n \\n Mv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,0]\\n Mv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,1]\\n Nv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,2]\\n Nv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,3]\\n Iv[iS*NperP:(iS+1)*NperP] = Sol[:,4]\\n #Iv[iS*NperP:(iS+1)*NperP] += muI[iS]-np.mean(Iv[iS*NperP:(iS+1)*NperP])\\n \\n #Quantify errors\\n sIP[iS] = np.var(Iv[iS*NperP:(iS+1)*NperP]-muI[iS])\\n muIP[iS] = np.mean(Iv[iS*NperP:(iS+1)*NperP])\\n MuNP[0,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 0])\\n MuNP[1,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 1])\\n muMyP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 1])\\n muMxP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 0])\\n \\n return(Mv, Nv, Iv, sMxP, sMyP, sIP, muMxP, muMyP, MuNP, muIP, SigmaP)\\n\\ndef get_network2(Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI, S, NperP):\\n \\n# =============================================================================\\n# Initialize matrices\\n# =============================================================================\\n N = S*NperP\\n rank = 2\\n Mv = np.zeros((N, rank))\\n Nv = np.zeros((N, rank))\\n Iv = np.zeros((N))\\n sMxP = np.zeros_like(sMx)\\n sMyP = np.zeros_like(sMy)\\n sIP = np.zeros_like(sI)\\n muMxP = np.zeros_like(muMx)\\n muMyP = np.zeros_like(muMy)\\n MuNP = np.zeros_like(MuN)\\n muIP = np.zeros_like(muI)\\n SigmaP = np.zeros_like(Sigma)\\n# =============================================================================\\n# Go through populations\\n# =============================================================================\\n error = 1e8\\n counter =0\\n Mean = np.array((0., 0.,0., 0., 0.))\\n rSS = np.eye(5)\\n #Take minimal finite-size out of 500 trials\\n while error>1e-5 and counter<5000:\\n counter+=1\\n Sol = np.random.multivariate_normal(Mean, rSS, NperP) \\n MeanP = np.mean(Sol,0)\\n rSSP = np.cov(Sol.T)\\n error2 = np.std(rSSP-rSS)+np.std(MeanP)\\n if error2<error:\\n error=error2\\n Solsav = Sol\\n if verbose ==True:\\n print(error)\\n\\n Sol = Solsav\\n for iS in range(S): \\n val = -1\\n SS = Sigma[:,:,iS]\\n rSS = np.zeros((5,5)) #BigSigma\\n rSS[0,0] = sMx[iS] #m1^2\\n rSS[1,1] = sMy[iS] #m2^2\\n \\n rSS[0,2] = SS[0,0]\\n rSS[2,0] = rSS[0,2]\\n rSS[0,3] = SS[1,0]\\n rSS[3,0] = rSS[0,3]\\n \\n rSS[1,2] = SS[0,1]\\n rSS[2,1] = rSS[1,2]\\n rSS[1,3] = SS[1,1]\\n rSS[3,1] = rSS[1,3]\\n \\n rSS[2,2] = 1.1\\n rSS[3,3] = 1.1\\n \\n rSS[4,4] = sI[iS]\\n val = np.min(np.linalg.eigvalsh(rSS))\\n \\n #Make BigSigma positive definite\\n #mVal = np.max(np.abs(SS))\\n cnt =0\\n vals = []\\n diag1 = []\\n diag2 = []\\n while val<1e-7:\\n if cnt<200:\\n rSS[2,2] = 1.2*rSS[2,2]\\n rSS[3,3] = 1.2*rSS[3,3]\\n else:\\n rSS[2,2] = 1.02*rSS[2,2]\\n rSS[3,3] = 1.02*rSS[3,3]\\n val = np.min(np.linalg.eigvalsh(rSS))\\n diag1.append(rSS[2,2])\\n diag2.append(rSS[3,3])\\n \\n vals.append(val)\\n cnt +=1\\n \\n Mean = np.array((muMx[iS], muMy[iS],MuN[0,iS], MuN[1,iS], muI[iS] ))\\n \\n error = 1e8\\n counter =0\\n \\n# #Take minimal finite-size out of 500 trials\\n# while error>0.1 and counter<500:\\n# counter+=1\\n# Sol = np.random.multivariate_normal(Mean, rSS, NperP) \\n# MeanP = np.mean(Sol,0)\\n# rSSP = np.cov(Sol.T)\\n# rSS_corr = np.zeros_like(rSS)\\n# rSS_corr[:,:] = rSS\\n# rSS_corr[np.abs(rSS_corr)<1e-10] = 1e-10\\n# sol = (rSSP-rSS_corr)/rSS_corr\\n# sol[np.abs(sol)>1e8] = 0.\\n# sol[2,2] = 0.\\n# sol[3,3] = 0.\\n# error2 = np.std(sol)+np.std(Mean-MeanP)\\n# if error2<error:\\n# error=error2\\n# Solsav = Sol\\n\\n Sol = Mean[:,None] + np.dot(sqrtm(rSS), Solsav.T)\\n Sol = Sol.T\\n Corr = np.cov(Sol.T)\\n \\n sMxP[iS] = Corr[0,0]\\n sMyP[iS] = Corr[1,1]\\n SigmaP[0,0,iS] = Corr[0,2]\\n SigmaP[0,1,iS] = Corr[0,3]\\n SigmaP[1,0,iS] = Corr[1,2]\\n SigmaP[1,1,iS] = Corr[1,3]\\n \\n Mv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,0]\\n Mv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,1]\\n Nv[iS*NperP:(iS+1)*NperP, 0] = Sol[:,2]\\n Nv[iS*NperP:(iS+1)*NperP, 1] = Sol[:,3]\\n Iv[iS*NperP:(iS+1)*NperP] = Sol[:,4]\\n #Iv[iS*NperP:(iS+1)*NperP] += muI[iS]-np.mean(Iv[iS*NperP:(iS+1)*NperP])\\n \\n #Quantify errors\\n sIP[iS] = np.var(Iv[iS*NperP:(iS+1)*NperP]-muI[iS])\\n muIP[iS] = np.mean(Iv[iS*NperP:(iS+1)*NperP])\\n MuNP[0,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 0])\\n MuNP[1,iS] = np.mean(Nv[iS*NperP:(iS+1)*NperP, 1])\\n muMyP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 1])\\n muMxP[iS] = np.mean(Mv[iS*NperP:(iS+1)*NperP, 0])\\n \\n return(Mv, Nv, Iv, sMxP, sMyP, sIP, muMxP, muMyP, MuNP, muIP, SigmaP)\\n \\ndef algorithm(dat_point, sigma, muMx, muMy, sMx, sMy, muI, sI):\\n S = len(muMx) #number of populations\\n K = 2 #rank\\n p = np.shape(dat_point)[0] #number of points\\n \\n Phi0 = np.zeros((K*(K+1)*S, p*K))\\n F0 = np.zeros((p*K, 1))\\n\\n for ip in range(p):\\n k = dat_point[ip, :]\\n k1 = dat_point[ip,0]\\n k2 = dat_point[ip,1]\\n SS = VP_func(k1,k2)\\n F0[ip*K] = S*(SS[0] + k1)\\n F0[ip*K+1] = S*(SS[1] + k2)\\n \\n for iS in range(S):\\n Mu = muI[iS] + k[0]*muMx[iS] + k[1]*muMy[iS]\\n Delta = sI[iS] + sMx[iS]*k[0]**2 + sMy[iS]*k[1]**2\\n i0 = iS*K*(K+1)\\n \\n Phi0[i0: i0+K, ip*K] = k*Prime(Mu, Delta)\\n Phi0[i0+K: i0+2*K, ip*K+1] = k*Prime(Mu, Delta)\\n Phi0[i0+2*K: i0+2*K+1, ip*K] = Phi(Mu, Delta)\\n Phi0[i0+2*K+1: i0+2*K+2, ip*K+1] = Phi(Mu, Delta)\\n \\n sol = np.dot(F0.T, Phi0.T)\\n C= np.dot(Phi0, Phi0.T)+np.eye(K*(K+1)*S)*sigma**2\\n \\n sigmaU = np.dot(sol, np.linalg.pinv(C))\\n sigmaU = sigmaU[0,:]\\n \\n Sigma = np.zeros((K, K, S))\\n MuN = np.zeros((K, S)) \\n for iS in range(S):\\n Sigma[0,0,iS] = sigmaU[iS*K*(K+1)]\\n Sigma[0,1,iS] = sigmaU[iS*K*(K+1)+1] #sigma_m2n1\\n Sigma[1,0,iS] = sigmaU[iS*K*(K+1)+2] #sigma_m1n2\\n Sigma[1,1,iS] = sigmaU[iS*K*(K+1)+3]\\n MuN[0, iS] = sigmaU[iS*K*(K+1)+4]\\n MuN[1, iS] = sigmaU[iS*K*(K+1)+5]\\n E = np.mean(np.abs((np.dot(sigmaU, Phi0) - F0.T)))#/F0.T))\\n reconst = np.dot(sigmaU, Phi0)\\n return(Sigma, MuN, E, sigmaU,reconst, F0)\\n\\n #%%\\ndt = 0.02\\ntime = np.arange(0, 40, dt)\\nsolT = np.zeros((len(time),2))\\n\\nsol0 = np.array((1.,1.))\\nsolT[0,:] = sol0\\n\\nfor it, ti in enumerate(time[:-1]):\\n solT[it+1,:] = solT[it,:]+dt*(func(solT[it,:]))\\n \\n#%%\\nx = np.linspace(-4,4, 100)\\ny = np.linspace(-4,4, 100)\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\nX, Y, E, U, V = VP_field(x,y, mu=1.)\\n\\nplt.plot( solT[1200:,0], solT[1200:,1], 'k', lw=1)\\nplt.pcolor(x, y, np.log10(E).T, vmin = -2, vmax = 2., shading='auto')\\nplt.colorbar()\\nplt.streamplot(x, y, U.T, V.T, color='w')\\nplt.xlim([np.min(x), np.max(x)])\\nplt.ylim([np.min(y), np.max(y)])\\nplt.xlabel(r'$x$')\\nplt.ylabel(r'$y$')\\n\\nrect = patches.Rectangle((-3,3),6,-6,linewidth=1,edgecolor='r',facecolor='none', zorder=5)\\nax.add_patch(rect)\\n\\nplt.savefig('Fig7_1n_VanderPol.pdf')\\nplt.show()\\n\\n#%%\\ndo_reg = False\\ndo_fs_noreg = True\\n#%%\\nxp = np.linspace(-3, 3.01, 30)\\nyp = np.linspace(-3, 3.01, 30)\\n\\nXp, Yp, Ep, Up, Vp = VP_field2(xp,yp, mu=1.)\\ndat_point = np.vstack((np.ravel(Xp), np.ravel(Yp))).T\\n\\nf0 = np.vstack((np.ravel(Up), np.ravel(Vp))).T\\nf0 += dat_point #Calculated without the leak\\np = len(xp)*len(yp)\\n\\n\\n#%%\\nK = 2\\npops = np.array((1, 2, 3, 4, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50))#np.round(np.linspace(1, 50,10)).astype(int)#np.round(np.linspace(1, 50, 20)).astype(int)\\ntrials = 50;#20#20#20\\n\\nsigmas = [1e-8, 0.5]#[1e-8, 0.5]#[1e-8]\\n\\nEss = np.zeros((len(sigmas), trials, len(pops)))\\nEss_r = np.zeros((len(sigmas), trials, len(pops)))\\nEss_fs = np.zeros((len(sigmas), trials, len(pops)))\\nEss_r_fs = np.zeros((len(sigmas), trials, len(pops)))\\n\\n\\nL2n = np.zeros((len(sigmas), trials, len(pops)))\\nMea = np.zeros((len(sigmas), trials, len(pops)))\\nVar = np.zeros((len(sigmas), trials, len(pops)))\\nMax = np.zeros((len(sigmas), trials, len(pops)))\\n\\nplott =False\\n\\nfor isi, sigma in enumerate(sigmas):\\n for ipop, S in enumerate(pops):\\n if verbose==True:\\n print(' ')\\n print('New pop')\\n print('-.-')\\n Sigma = np.zeros((K, K, S, trials))\\n MuN = np.zeros((K, S, trials))\\n for iti in range(trials):\\n if np.min([np.abs(S-15), np.abs(S-35)])==0 and sigma>1e-3:\\n if S==15:\\n ITI = 11\\n else:\\n ITI = 15\\n if iti==ITI:\\n if verbose == True:\\n print('pop: '+str(S)+' _Trial: '+str(iti))\\n \\n try:\\n fl=np.load('DataFig7/paramMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\\n Sigma = fl['name1']\\n sMx = fl['name2']\\n sMy = fl['name3']\\n sI = fl['name4']\\n muMx = fl['name5']\\n muMy = fl['name6']\\n MuN = fl['name7']\\n muI = fl['name8']\\n E = fl['name9']\\n sigmaU = fl['name10']\\n F0 = fl['name11']\\n reconst = fl['name12']\\n \\n \\n except:\\n print('no paramMF')\\n print('DataFig7/paramMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\\n sI = np.random.exponential(1, S) \\n sMx = np.random.exponential(1, S)\\n if S>1:\\n sMx = sMx/np.std(sMx)\\n else:\\n sMx[0] = 1.\\n \\n muMx = 4*np.random.rand(S)\\n muMx = muMx-np.mean(muMx)\\n \\n muMy = 0*4*np.random.rand(S)\\n muMy = muMy-np.mean(muMy)\\n \\n muI = 4*np.random.rand(S)\\n muI = muI-np.mean(muI)\\n \\n sMy = np.random.exponential(1, S)\\n if S>1:\\n sMy = sMy/np.std(sMy)\\n else:\\n sMy[0] = 1.\\n \\n plott=False\\n Sigma, MuN, E, sigmaU, reconst, F0 = algorithm(dat_point, sigma, muMx, muMy, sMx, sMy, muI, sI)\\n import os\\n if os.path.isdir('DataFig7/')==False:\\n os.mkdir('DataFig7/')\\n np.savez('DataFig7/paramMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti),name1=Sigma, name2=sMx, name3=sMy, name4=sI, \\n name5=muMx, name6=muMy, name7=MuN, name8=muI, name9=E, name10=sigmaU, name11=F0, name12=reconst)\\n\\n if sigma>0.01:\\n sol = np.zeros((len(time),2))\\n \\n sol0 = np.array((1.,1.))\\n sol[0,:] = sol0\\n \\n for it, ti in enumerate(time[:-1]):\\n sol[it+1,:] = sol[it,:]+dt*funcG(sol[it,:], Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI)\\n fig = plt.figure()\\n ax = fig.add_subplot(211)\\n plt.plot(time, sol[:,0], lw=2)\\n plt.plot(time, solT[:,0], '--k')\\n \\n ax.set_ylabel(r'$\\\\kappa_1(t)$')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom') \\n ax.set_yticks([-2, 0, 2])\\n ax = fig.add_subplot(212)\\n plt.plot(time, sol[:,1], lw=2)\\n plt.plot(time, solT[:,1], '--k')\\n \\n ax.set_xlabel('time')\\n ax.set_ylabel(r'$\\\\kappa_2(t)$')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom')\\n ax.set_yticks([-2, 0, 2]) \\n plt.savefig('Fig7_2_vanderPol_xy_MF_sig_'+str(sigma)+'_pop_'+str(S)+'_trial_'+str(iti)+'.pdf')\\n plt.show()\\n \\n \\n x = np.linspace(-5,5, 30)\\n y = np.linspace(-5,5, 30) \\n try:\\n fl = np.load('DataFig7/dynMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\\n Sigma = fl['name1']\\n sMx = fl['name2']\\n sMy = fl['name3']\\n sI = fl['name4']\\n muMx = fl['name5']\\n muMy = fl['name6']\\n MuN = fl['name7']\\n muI = fl['name8']\\n Xa = fl['name9']\\n Ya = fl['name10']\\n Ea = fl['name11']\\n Ua = fl['name12']\\n Va = fl['name13']\\n except:\\n print('no dynMF')\\n print('DataFig7/dynMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\\n Xa, Ya, Ea, Ua, Va = VP_approx(x,y, Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI)\\n np.savez('DataFig7/dynMF_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti), \\n name1=Sigma, name2=sMx, name3=sMy, name4=sI, name5=muMx, name6=muMy, \\n name7=MuN, name8=muI, name9=Xa, name10=Ya, name11=Ea, name12=Ua, name13=Va)\\n \\n \\n plt.figure()\\n plt.plot( sol[:,0], sol[:,1], lw=2)\\n plt.plot( solT[:,0], solT[:,1], '--k', lw=1)\\n plt.pcolor(x, y, np.log10(Ea.T), vmin = -2, vmax = 2., shading='auto')\\n #plt.colorbar()\\n plt.streamplot(x, y, Ua.T, Va.T, color='w')\\n plt.xlim([np.min(x), np.max(x)])\\n plt.ylim([np.min(y), np.max(y)])\\n plt.xlabel(r'$\\\\kappa_1$')\\n plt.ylabel(r'$\\\\kappa_2$')\\n plt.xticks([-4, -2, 0, 2, 4]) \\n if sigma<0.1:\\n plt.savefig('Fig7_1n_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\\n plt.savefig('Fig7_1n_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\\n else:\\n plt.savefig('Fig7_1Reg_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\\n plt.savefig('Fig7_1Reg_Gauss_approx_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\\n plt.show()\\n \\n\\n\\n NperP = 2000\\n\\n try:\\n fl = np.load('DataFig7/dynamicsfinsiz_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\\n Mv = fl['name1']\\n Nv = fl['name2']\\n Xr = fl['name3']\\n Yr = fl['name4']\\n Er = fl['name5']\\n Ur = fl['name6']\\n Vr = fl['name7']\\n Iv = fl['name8']\\n #hello = fl['name9']\\n except:\\n print('calculating vectors')\\n print('DataFig7/dynamicsfinsiz_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti)+'.npz')\\n Mv, Nv, Iv, sMxP, sMyP, sIP, muMxP, muMyP, MuNP, muIP, SigmaP = get_network(Sigma, sMx, sMy, sI, muMx, muMy, MuN, muI, S, NperP) \\n Xr, Yr, Er, Ur, Vr = VP_approxnum(x,y, Mv, Nv, Iv) \\n np.savez('dynamicsfinsiz_sig_'+str(sigma)+ '_pop_'+str(S)+'_trial_'+str(iti), name1=Mv, \\n name2=Nv, name3=Xr, name4=Yr, name5=Er, name6=Ur, name7=Vr, name8=Iv)\\n \\n \\n \\n sol = np.zeros((len(time),2))\\n sol[0,:] = sol0\\n \\n for it, ti in enumerate(time[:-1]):\\n sol[it+1,:] = sol[it,:]+dt*np.array((VP_funcnum( sol[it,0], sol[it,1], Mv, Nv, Iv)))\\n \\n fig = plt.figure()\\n ax = fig.add_subplot(211)\\n plt.plot(time, sol[:,0], lw=2)\\n plt.plot(time, solT[:,0], '--k')\\n \\n ax.set_ylabel(r'$\\\\kappa_1(t)$')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom') \\n ax.set_yticks([-2, 0, 2])\\n ax = fig.add_subplot(212)\\n plt.plot(time, sol[:,1], lw=2)\\n plt.plot(time, solT[:,1], '--k')\\n \\n ax.set_xlabel('time')\\n ax.set_ylabel(r'$\\\\kappa_2(t)$')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.yaxis.set_ticks_position('left')\\n ax.xaxis.set_ticks_position('bottom')\\n ax.set_yticks([-2, 0, 2]) \\n plt.savefig('Fig7_2_vanderPol_xy_FS_sig_'+str(sigma)+'_pop_'+str(S)+'_trial_'+str(iti)+'.pdf')\\n plt.show()\\n \\n #%\\n plt.figure()\\n plt.plot( sol[:,0], sol[:,1], lw=2)\\n plt.plot( solT[:,0], solT[:,1], '--k', lw=1)\\n plt.pcolor(x, y, np.log10(Er.T), vmin = -2, vmax = 2., shading='auto')\\n #plt.colorbar()\\n plt.streamplot(x, y, Ur.T, Vr.T, color='w')\\n plt.xlim([np.min(x), np.max(x)])\\n plt.ylim([np.min(y), np.max(y)])\\n plt.xticks([-4, -2, 0, 2, 4]) \\n plt.xlabel(r'$\\\\kappa_1$')\\n plt.ylabel(r'$\\\\kappa_2$')\\n if sigma<0.1:\\n plt.savefig('Fig7_1n_Gauss_approx_FS_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\\n plt.savefig('Fig7_1n_Gauss_approx_FS_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\\n else:\\n plt.savefig('Fig7_1n_Gauss_approx_FSreg_pops_'+str(S)+'_trial_'+ str(iti)+'.pdf')\\n plt.savefig('Fig7_1n_Gauss_approx_FSreg_pops_'+str(S)+'_trial_'+ str(iti)+'.png')\\n plt.show()\\n\\n\\n\\n\\n#%%\\nfl = np.load('DataFig7/simulations.npz')\\nEss=fl['name1']\\nEss_fs = fl['name2']\\nVar = fl['name3']\\n#%%\\nEss2 = np.mean(Ess, 1)/pops\\nsEss2 = np.std(Ess, 1)/(pops*np.sqrt(trials))#/np.sqrt(trials)\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\nplt.fill_between(pops, Ess2[0]-sEss2[0], Ess2[0]+sEss2[0], alpha=0.4, color='k')\\nplt.plot(pops, Ess2[0], lw=2, c =[0.2,0.2,0.2], label=r'$\\\\beta=10^{-8}$')\\nplt.fill_between(pops, Ess2[1]-sEss2[1], Ess2[1]+sEss2[1], alpha=0.5)\\nplt.plot(pops, Ess2[1], lw=2, label=r'$\\\\beta=0.5$')\\nplt.ylabel('error (mean field)')\\nplt.xlabel(r'populations $P$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom')\\nplt.yscale('log')\\nplt.legend(frameon=False)\\nplt.savefig('Fig7_1n_Gauss_approx_pops_0.pdf')\\nplt.show()\\n\\n\\n#%%\\nEss2 = np.mean(Ess_fs, 1)/pops\\nsEss2 = np.std(Ess_fs, 1)/(pops*np.sqrt(trials))\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\nplt.fill_between(pops, Ess2[0]-sEss2[0], Ess2[0]+sEss2[0], alpha=0.4, color='k')\\nplt.plot(pops, Ess2[0], lw=2, c =[0.2,0.2,0.2],label=r'$\\\\beta=10^{-8}$')\\nplt.fill_between(pops, Ess2[1]-sEss2[1], Ess2[1]+sEss2[1], alpha=0.5)\\nplt.plot(pops, Ess2[1], lw=2, label=r'$\\\\beta=0.5$')\\nplt.yscale('log')\\nplt.ylabel('error (finite size)')\\nplt.xlabel(r'populations $P$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom')\\nplt.legend(frameon=False)\\nplt.ylim([1., 100])\\nplt.savefig('Fig7_1n_Gauss_approx_pops_2.pdf')\\n\\n#%%\\nEss2 = np.mean(Var, 1)\\nsEss2 = np.std(Var, 1)/np.sqrt(trials)\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\nplt.fill_between(pops, Ess2[0]-sEss2[0], Ess2[0]+sEss2[0], alpha=0.4, color='k')\\nplt.plot(pops, Ess2[0], lw=2, c =[0.2,0.2,0.2],label=r'$\\\\beta=10^{-8}$')\\nplt.fill_between(pops, Ess2[1]-sEss2[1], Ess2[1]+sEss2[1], alpha=0.5)\\nplt.plot(pops, Ess2[1], lw=2, label=r'$\\\\beta=0.5$')\\nplt.yscale('log')\\nplt.ylabel(r'variance $X$')\\nplt.xlabel(r'populations $P$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom')\\nplt.legend(frameon=False)\\nplt.savefig('Fig7_1n_Gauss_approx_pops_3.pdf')\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.4661540389060974,\n \"alphanum_fraction\": 0.5436587333679199,\n \"avg_line_length\": 36.49216079711914,\n \"blob_id\": \"b7cc4c110e5883e8815c4572fa743b82c3481b45\",\n \"content_id\": \"6d7e87c7bd751562e1d72822ae1fdf9e22818bb1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 31082,\n \"license_type\": \"no_license\",\n \"max_line_length\": 149,\n \"num_lines\": 829,\n \"path\": \"/C_Fig6_GHI.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\nnp.random.seed(20)\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 400\\nnbins = 20\\nval = 0.1\\nolap = 10\\na_m1 = np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1))\\n#np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\\na_m2 = np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1))\\n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\\na_m3 = np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \\n# *np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\\n\\na_n1 = olap/np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1)) \\n#*np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\\na_n2 = olap/np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1)) \\n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\\na_n3 = olap/np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \\n#*np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\\n\\ndef give_vecs(val=0.1, olap=1.5, N = 400):\\n pops = 8\\n a_m1 = np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1))\\n #np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\\n a_m2 = np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1))\\n #*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\\n a_m3 = np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \\n # *np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\\n \\n a_n1 = olap/np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1)) \\n #*np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\\n a_n2 = olap/np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1)) \\n #*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\\n a_n3 = olap/np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \\n #*np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\\n m1 = np.random.randn(N)\\n n1 = np.random.randn(N)\\n \\n m2 = np.random.randn(N)\\n n2 = np.random.randn(N)\\n \\n m3 = np.random.randn(N)\\n n3 = np.random.randn(N)\\n \\n sels = 1000\\n err0 = 50\\n \\n pops = len(a_m1)\\n for t in range(sels):\\n V = np.random.randn(N//pops, 50)\\n CC = np.dot(V, V.T)\\n for po in range(pops):\\n CC[po,po] = 0.\\n \\n err = np.std(CC)\\n if err<err0:\\n err0 = err\\n \\n ix = 0\\n \\n for po in range(pops):\\n m1[po*(N//pops):(po+1)*(N//pops)] = a_m1[po]+val*V[:, ix] \\n ix += 1\\n n1[po*(N//pops):(po+1)*(N//pops)] = a_n1[po]+val*V[:, ix]#+s_mn1[po]*V[:, ix]/val\\n ix += 1 \\n m2[po*(N//pops):(po+1)*(N//pops)] = a_m2[po]+val*V[:, ix]\\n ix += 1\\n n2[po*(N//pops):(po+1)*(N//pops)] = a_n2[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\\n ix += 1\\n m3[po*(N//pops):(po+1)*(N//pops)] = a_m3[po]+val*V[:, ix]\\n ix += 1\\n n3[po*(N//pops):(po+1)*(N//pops)] = a_n3[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\\n ix += 1\\n return(m1, m2, m3, n1, n2, n3)\\npops = 8 \\nm1, m2, m3, n1, n2, n3 = give_vecs(olap=olap)\\n#%%\\n# =============================================================================\\n# Fig 2\\n# =============================================================================\\nms = np.linspace(-10.5,10.5,3000)\\n\\n\\nN = 1000\\nS=10\\nM = np.vstack((m1, m2, m3)).T\\nss2 = 0.3\\n\\nNNN = np.vstack((n1, n2, n3))\\n\\nfig = plt.figure(figsize=[4.2, 4.2])#, dpi=600\\ngs = GridSpec(7,7)\\n\\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\\nax_joint02 = fig.add_subplot(gs[1:3,4:6])\\n\\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\\nax_joint12 = fig.add_subplot(gs[3:5,4:6])\\n\\nax_joint20 = fig.add_subplot(gs[5:7,0:2])\\nax_joint21 = fig.add_subplot(gs[5:7,2:4])\\nax_joint22 = fig.add_subplot(gs[5:7,4:6])\\n\\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\\nax_marg_x2 = fig.add_subplot(gs[0,4:6])\\n\\nax_marg_y0 = fig.add_subplot(gs[1:3,6])\\nax_marg_y1 = fig.add_subplot(gs[3:5,6])\\nax_marg_y2 = fig.add_subplot(gs[5:7,6])\\n\\nyl = 12.5\\nylt = 10.\\nxl = 2.5\\nxlt = 2.\\nax_joint00.scatter(M[:,0], NNN[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\n\\nfor ip in range(pops):\\n ax_joint00.scatter(a_m1[ip], a_n1[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint00.set_xlim([-xl, xl])\\nax_joint00.set_xticks([-xlt, 0, xlt])\\nax_joint00.set_xticklabels(['','',''])\\nax_joint00.set_ylim([-yl,yl])\\nax_joint00.set_yticks([-ylt, 0, ylt])\\nax_joint00.set_ylabel(r'$n^{\\\\left(1\\\\right)}_i$')\\nax_joint00.spines['top'].set_visible(False)\\nax_joint00.spines['right'].set_visible(False)\\nax_joint00.yaxis.set_ticks_position('left')\\nax_joint00.xaxis.set_ticks_position('bottom')\\n\\n \\nax_joint01.scatter(M[:,1], NNN[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint01.scatter(a_m2[ip], a_n1[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint01.spines['top'].set_visible(False)\\nax_joint01.spines['right'].set_visible(False)\\nax_joint01.yaxis.set_ticks_position('left')\\nax_joint01.xaxis.set_ticks_position('bottom')\\nax_joint01.set_ylim([-yl,yl])\\nax_joint01.set_yticks([-ylt, 0, ylt])\\nax_joint01.set_yticklabels(['','',''])\\nax_joint01.set_xlim([-xl, xl])\\nax_joint01.set_xticks([-xlt, 0, xlt])\\nax_joint01.set_xticklabels(['','',''])\\n\\nax_joint02.scatter(M[:,2], NNN[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint02.scatter(a_m3[ip], a_n1[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint02.spines['top'].set_visible(False)\\nax_joint02.spines['right'].set_visible(False)\\nax_joint02.yaxis.set_ticks_position('left')\\nax_joint02.xaxis.set_ticks_position('bottom')\\nax_joint02.set_ylim([-yl,yl])\\nax_joint02.set_yticks([-ylt, 0, ylt])\\nax_joint02.set_yticklabels(['','',''])\\nax_joint02.set_xlim([-xl, xl])\\nax_joint02.set_xticks([-xlt, 0, xlt])\\nax_joint02.set_xticklabels(['','',''])\\n\\n\\nax_joint10.scatter(M[:,0], NNN[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint10.scatter(a_m1[ip], a_n2[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint10.set_xlim([-3,3])\\nax_joint10.spines['top'].set_visible(False)\\nax_joint10.spines['right'].set_visible(False)\\nax_joint10.yaxis.set_ticks_position('left')\\nax_joint10.xaxis.set_ticks_position('bottom')\\nax_joint10.set_ylim([-yl,yl])\\nax_joint10.set_yticks([-ylt, 0, ylt])\\nax_joint10.set_xlim([-xl, xl])\\nax_joint10.set_xticks([-xlt, 0, xlt])\\nax_joint10.set_xticklabels(['','',''])\\nax_joint10.set_ylabel(r'$n^{\\\\left(2\\\\right)}_i$')\\n#ax_joint10.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n\\nax_joint11.scatter(M[:,1], NNN[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint11.scatter(a_m2[ip], a_n2[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint11.spines['top'].set_visible(False)\\nax_joint11.spines['right'].set_visible(False)\\nax_joint11.set_ylim([-yl, yl])\\nax_joint11.set_yticks([-ylt, 0, ylt])\\nax_joint11.set_xlim([-xl, xl])\\nax_joint11.set_xticks([-xlt, 0, xlt])\\nax_joint11.set_xticklabels(['','',''])\\nax_joint11.set_yticklabels(['','',''])\\nax_joint11.yaxis.set_ticks_position('left')\\nax_joint11.xaxis.set_ticks_position('bottom')\\n#ax_joint11.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n\\nax_joint12.scatter(M[:,2], NNN[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint12.scatter(a_m3[ip], a_n2[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint12.set_xlim([-3,3])\\nax_joint12.spines['top'].set_visible(False)\\nax_joint12.spines['right'].set_visible(False)\\nax_joint12.set_ylim([-yl, yl])\\nax_joint12.set_yticks([-ylt, 0, ylt])\\nax_joint12.set_xlim([-xl, xl])\\nax_joint12.set_xticks([-xlt, 0, xlt])\\nax_joint12.set_xticklabels(['','',''])\\nax_joint12.set_yticklabels(['','',''])\\nax_joint12.yaxis.set_ticks_position('left')\\nax_joint12.xaxis.set_ticks_position('bottom')\\n#ax_joint12.set_xlabel(r'$m^{\\\\left(3\\\\right)}_i$')\\n\\nax_joint20.scatter(M[:,0], NNN[2,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint20.scatter(a_m1[ip], a_n3[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint20.set_xlim([-3,3])\\nax_joint20.spines['top'].set_visible(False)\\nax_joint20.spines['right'].set_visible(False)\\nax_joint20.yaxis.set_ticks_position('left')\\nax_joint20.xaxis.set_ticks_position('bottom')\\nax_joint20.set_ylim([-yl,yl])\\nax_joint20.set_yticks([-ylt, 0, ylt])\\nax_joint20.set_xlim([-xl, xl])\\nax_joint20.set_xticks([-xlt, 0, xlt])\\nax_joint20.set_ylabel(r'$n^{\\\\left(3\\\\right)}_i$')\\nax_joint20.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n\\nax_joint21.scatter(M[:,1], NNN[2,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint21.scatter(a_m2[ip], a_n3[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint21.set_xlim([-3,3])\\nax_joint21.spines['top'].set_visible(False)\\nax_joint21.spines['right'].set_visible(False)\\nax_joint21.set_ylim([-yl, yl])\\nax_joint21.set_yticks([-ylt, 0, ylt])\\nax_joint21.set_xlim([-xl, xl])\\nax_joint21.set_xticks([-xlt, 0, xlt])\\nax_joint21.set_yticklabels(['','',''])\\nax_joint21.yaxis.set_ticks_position('left')\\nax_joint21.xaxis.set_ticks_position('bottom')\\nax_joint21.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n\\nax_joint22.scatter(M[:,2], NNN[2,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nfor ip in range(pops):\\n ax_joint22.scatter(a_m3[ip], a_n3[ip], s=0.5*S, edgecolor='k', facecolor='w')\\nax_joint22.set_xlim([-3,3])\\nax_joint22.spines['top'].set_visible(False)\\nax_joint22.spines['right'].set_visible(False)\\nax_joint22.set_ylim([-yl, yl])\\nax_joint22.set_yticks([-ylt, 0, ylt])\\nax_joint22.set_xlim([-xl, xl])\\nax_joint22.set_xticks([-xlt, 0, xlt])\\nax_joint22.set_yticklabels(['','',''])\\nax_joint22.yaxis.set_ticks_position('left')\\nax_joint22.xaxis.set_ticks_position('bottom')\\nax_joint22.set_xlabel(r'$m^{\\\\left(3\\\\right)}_i$')\\n\\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\\nss = val\\n#ax_marg_x0.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\\nsol_n = np.zeros_like(ms)\\nfor ip in range(pops):\\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_m1[ip])**2/(2*ss**2))\\nax_marg_x0.plot( ms, sol_n,'k', lw=0.5)\\nax_marg_x0.spines['top'].set_visible(False)\\nax_marg_x0.spines['right'].set_visible(False)\\nax_marg_x0.spines['left'].set_visible(False)\\nax_marg_x0.yaxis.set_ticks_position('left')\\nax_marg_x0.xaxis.set_ticks_position('bottom')\\nax_marg_x0.set_xlim([-3,3])\\nax_marg_x0.set_xticks([-2., 0, 2.])\\nax_marg_x0.set_ylim([0,1.4])\\nax_marg_x0.set_xticklabels(['','',''])\\nax_marg_x0.set_yticks([2])\\n\\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\\nsol_n = np.zeros_like(ms)\\nfor ip in range(pops):\\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_m2[ip])**2/(2*ss**2))\\nax_marg_x1.plot( ms, sol_n,'k', lw=0.5)\\n#ax_marg_x1.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\\nax_marg_x1.spines['top'].set_visible(False)\\nax_marg_x1.spines['right'].set_visible(False)\\nax_marg_x1.spines['left'].set_visible(False)\\nax_marg_x1.yaxis.set_ticks_position('left')\\nax_marg_x1.xaxis.set_ticks_position('bottom')\\nax_marg_x1.set_xlim([-3,3])\\nax_marg_x1.set_ylim([0,1.4])\\nax_marg_x1.set_xticks([-2., 0, 2.])\\nax_marg_x1.set_xticklabels(['','',''])\\nax_marg_x1.set_yticks([2])\\n\\nax_marg_x2.hist(M[:,2], nbins, alpha=0.5, density=True)\\nsol_n = np.zeros_like(ms)\\nfor ip in range(pops):\\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_m3[ip])**2/(2*ss**2))\\nax_marg_x2.plot( ms, sol_n,'k', lw=0.5)\\n#ax_marg_x2.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\\nax_marg_x2.spines['top'].set_visible(False)\\nax_marg_x2.spines['right'].set_visible(False)\\nax_marg_x2.spines['left'].set_visible(False)\\nax_marg_x2.yaxis.set_ticks_position('left')\\nax_marg_x2.xaxis.set_ticks_position('bottom')\\nax_marg_x2.set_xlim([-3,3])\\nax_marg_x2.set_ylim([0,1.4])\\nax_marg_x2.set_xticks([-2., 0, 2.])\\nax_marg_x2.set_xticklabels(['','',''])\\nax_marg_x2.set_yticks([2])\\n\\nax_marg_y0.hist(NNN[0,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss= val\\nMu = olap*(1/np.sqrt(1-val**2))\\nsol_n = np.zeros_like(ms)\\nfor ip in range(pops):\\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_n1[ip])**2/(2*ss**2))\\nax_marg_y0.plot(sol_n, ms, 'k', lw=0.5)\\nax_marg_y0.spines['top'].set_visible(False)\\nax_marg_y0.spines['right'].set_visible(False)\\nax_marg_y0.spines['bottom'].set_visible(False)\\nax_marg_y0.yaxis.set_ticks_position('left')\\nax_marg_y0.xaxis.set_ticks_position('bottom')\\nax_marg_y0.set_ylim([-yl,yl])\\nax_marg_y0.set_xlim([0,1.5])\\nax_marg_y0.set_yticks([-ylt, 0, ylt])\\nax_marg_y0.set_yticklabels(['','',''])\\nax_marg_y0.set_xticks([2])\\nax_marg_y0.set_xticklabels([''])\\n\\nax_marg_y1.hist(NNN[1,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nsol_n = np.zeros_like(ms)\\nfor ip in range(pops):\\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_n2[ip])**2/(2*ss**2))\\nax_marg_y1.plot(sol_n, ms, 'k', lw=0.5)\\n#ax_marg_y1.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\\nax_marg_y1.spines['top'].set_visible(False)\\nax_marg_y1.spines['right'].set_visible(False)\\nax_marg_y1.spines['bottom'].set_visible(False)\\nax_marg_y1.yaxis.set_ticks_position('left')\\nax_marg_y1.xaxis.set_ticks_position('bottom')\\nax_marg_y1.set_ylim([-yl,yl])\\nax_marg_y1.set_xlim([0,1.5])\\nax_marg_y1.set_yticks([-ylt, 0, ylt])\\nax_marg_y1.set_yticklabels(['','',''])\\nax_marg_y1.set_xticks([2])\\nax_marg_y1.set_xticklabels([''])\\n\\nax_marg_y2.hist(NNN[2,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\n#ax_marg_y2.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\\nsol_n = np.zeros_like(ms)\\nfor ip in range(pops):\\n sol_n += (1/pops)*(1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms+a_n3[ip])**2/(2*ss**2))\\nax_marg_y2.plot(sol_n, ms, 'k', lw=0.5)\\nax_marg_y2.spines['top'].set_visible(False)\\nax_marg_y2.spines['right'].set_visible(False)\\nax_marg_y2.spines['bottom'].set_visible(False)\\nax_marg_y2.yaxis.set_ticks_position('left')\\nax_marg_y2.xaxis.set_ticks_position('bottom')\\nax_marg_y2.set_ylim([-yl,yl])\\nax_marg_y2.set_xlim([0,1.5])\\nax_marg_y2.set_yticks([-ylt, 0, ylt])\\nax_marg_y2.set_yticklabels(['','',''])\\nax_marg_y2.set_xticks([2])\\nax_marg_y2.set_xticklabels([''])\\nplt.savefig('Th_Fig6B_1_A_bgoverlap.pdf')\\n\\n\\n\\n#%%\\n#kaps1 = np.linspace(-2.5,2.5, 50)\\n#kaps2 = np.linspace(-2.5,2.5, 40)\\n#kaps3 = np.linspace(-2.5,2.5, 40)\\n#\\n#ksol = np.zeros((len(kaps1), len(kaps2), len(kaps3), 3))\\n#\\n#K1s, K2s, K3s = np.meshgrid(kaps1, kaps2,kaps3)\\n#def transf(K):\\n# return(K*Prime(0, np.dot(K.T, K)))\\n# \\n#E = np.zeros((len(kaps1), len(kaps2), len(kaps3)))\\n\\na_m1 = np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1))\\n#np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\\na_m2 = np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1))\\n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\\na_m3 = np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \\n# *np.array((1., -1./3., -1./3., -1./3., -1., 1./3., 1./3., 1./3.))\\n\\na_n1 = olap/np.sqrt((1-val**2)) *np.array((1, 1, 1, 1, -1, -1, -1, -1)) \\n#*np.array((0., np.sqrt(8./9.), -np.sqrt(2./9.), -np.sqrt(2./9.), 0., -np.sqrt(8./9.), np.sqrt(2./9.), np.sqrt(2./9.)))\\na_n2 = olap/np.sqrt((1-val**2)) *np.array((1, -1, 1, -1, 1, -1, 1, -1)) \\n#*np.array((0., 0., np.sqrt(2./3.), -np.sqrt(2./3.), 0., 0., -np.sqrt(2./3.), np.sqrt(2./3.), ))\\na_n3 = olap/np.sqrt((1-val**2)) *np.array((1, -1, -1, 1, 1, -1, -1, 1)) \\nfps = np.zeros((3, 100))\\nallfps = np.zeros((3,100))\\neigvals = np.zeros((3,100))\\n\\niX = 0\\n\\ndef give_f(K, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val):\\n ksol = - K\\n for ip in range(pops):\\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n norm = np.sqrt(np.sum(ksol**2))\\n return(ksol, norm)\\npops = 8\\n \\nfor tr in range(200):\\n #print(tr)\\n k1 = 4*np.random.rand()-2\\n k2 = 4*np.random.rand()-2\\n k3 = 4*np.random.rand()-2\\n norm = 10\\n K = np.array((k1, k2, k3))\\n while norm > 0.001:\\n ksol = - K\\n for ip in range(pops):\\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n norm = np.sqrt(np.sum(ksol**2))\\n K = K+0.1*ksol\\n cand1 = K\\n norm = 10\\n K = K + 0.1*np.random.randn(3)\\n while norm > 0.001:\\n ksol = - K\\n for ip in range(pops):\\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n norm = np.sqrt(np.sum(ksol**2))\\n K = K+0.1*ksol\\n cand = K\\n \\n if np.sum((cand-cand1)**2)<0.02:\\n cand = 0.5*(cand+cand1)\\n if np.min(np.sum((fps.T-cand)**2,1))>0.01:\\n fps[:,iX]= cand\\n iX +=1\\n fps[:,iX]= -cand\\n iX +=1\\n Jac = np.zeros((3,3))\\n per = 0.005\\n for ipp in range(3):\\n pert = np.zeros(3)\\n pert[ipp] = per\\n nex, ccc = give_f(K+pert, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val) \\n fir, ccc = give_f(K-pert, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val) \\n \\n Jac[ipp,:] = (nex-fir)/(2*per)\\n eigvals[:,iX-2] = np.linalg.eigvals(Jac)\\n eigvals[:,iX-1] = eigvals[:,iX-2]\\n \\nfps = fps[:,0:iX]\\n\\neigvals = eigvals[:,0:iX]\\n\\nRs = np.sqrt(np.sum(fps**2,0))\\nprint(Rs)\\n\\n\\n\\nappart = Rs>np.mean(Rs)\\nfp1s = fps[:,appart]\\nfp2s = fps[:,~appart]\\neigvals1 = eigvals[:,appart]\\neigvals2 = eigvals[:,~appart]\\n\\niX = 0\\nallfps = np.zeros((3,100))\\nfor tr in range(100):\\n #print(tr)\\n k1 = 4*np.random.rand()-2\\n k2 = 4*np.random.rand()-2\\n k3 = 4*np.random.rand()-2\\n norm = 10\\n max_iter = 150\\n ite = 0\\n dx = 0.1\\n K = np.array((k1, k2, k3))\\n \\n while norm>0.001 and ite<max_iter:\\n \\n Kold = K\\n ksol, norm = give_f(K, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n \\n\\n K1 = K+dx*np.array((1,0,0))\\n ksol1, norm1 = give_f(K1, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n K1m = K+dx*np.array((-1,0,0))\\n ksol1m, norm1m = give_f(K1m, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n K2 = K+dx*np.array((0,1,0))\\n ksol2, norm2 = give_f(K2, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n K2m = K+dx*np.array((0,-1,0))\\n ksol2m, norm2m = give_f(K2m, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n K3 = K+dx*np.array((0,0,1))\\n ksol3, norm3 = give_f(K3, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n K3m = K+dx*np.array((0,0,-1))\\n ksol3m, norm3m = give_f(K3m, a_m1, a_m2, a_m3, a_n1, a_n2, a_n3, val)\\n \\n norms = np.array((norm1, norm1m, norm2, norm2m, norm3, norm3m))\\n if np.min(norms)<norm: \\n if norm1==np.min(norms):\\n K = K1\\n norm = norm1\\n elif norm2 == np.min(norms):\\n K = K2\\n norm = norm2 \\n elif norm3 == np.min(norms):\\n K = K3\\n norm = norm3\\n elif norm1m == np.min(norms):\\n K = K1m\\n norm = norm1m\\n elif norm2m == np.min(norms):\\n K = K2m\\n norm = norm2m\\n elif norm3m == np.min(norms):\\n K = K3m\\n norm = norm3m\\n else:\\n if dx>0.0001:\\n dx = dx*0.5\\n ite +=1\\n \\n if norm<0.001: \\n if np.min(np.sum((allfps.T-K)**2,1))>0.03:\\n if np.min(np.sum((fps.T-K)**2,1))>0.03: \\n allfps[:,iX]= K\\n iX +=1\\n allfps[:,iX]= -K\\n iX +=1\\nallfps = allfps[:,0:iX] \\n\\n#%%\\nfrom mpl_toolkits.mplot3d import Axes3D\\nimport mpl_toolkits.mplot3d as a3\\nimport matplotlib.colors as colors\\nimport scipy as sp\\nfig = plt.figure()\\nax = fig.add_subplot(111, projection='3d', azim=-59, elev=10)\\n\\nverts = fp1s.T\\n#\\n\\ntop = 3\\nbottom = 2\\nno = 0\\nne = 4\\nso = 5\\nse = 1\\nfaces = np.array([ \\n [no, top, ne], [so, top, se], [no, so, top], [ne, se, top], \\n [no, bottom, ne], [so, bottom, se], [no,so, bottom], [ne,se,bottom]\\n ])\\n\\n\\n \\n\\nfne = 1\\nfse = 3\\nfno = 7\\nfso = 4\\nbne = 5\\nbse = 6\\nbno = 2\\nbso = 0\\nverts2 = fp2s.T\\nfaces2 = np.array([ \\n [fne, fno, fso,fse], [bne, bse, bso, bno], [fne, fno, bno, bne], [fse, fso, bso, bse], \\n [fne, fse, bse, bne], [fno, fso, bso, bno]\\n ])\\n\\nfor i in np.arange(len(faces)):\\n square=[ verts[faces[i,0]], verts[faces[i,1]], verts[faces[i, 2]]]\\n face = a3.art3d.Poly3DCollection([square], alpha=0.5)\\n face.set_color(colors.rgb2hex(0.6*np.array((1., 0., 0.))+0.4*np.random.rand(3)))\\n face.set_edgecolor('k')\\n face.set_linewidth(1.)\\n face.set_alpha(0.5)\\n ax.add_collection3d(face)\\nfor i in np.arange(len(faces2)):\\n square2=[ verts2[faces2[i,0]], verts2[faces2[i,1]], verts2[faces2[i, 2]], verts2[faces2[i, 3]]]\\n face = a3.art3d.Poly3DCollection([square2], alpha=0.5)\\n face.set_color(colors.rgb2hex(0.6*np.array((0., 0., 1.))+0.4*np.random.rand(3)))\\n face.set_edgecolor('k')\\n face.set_linewidth(1.)\\n face.set_alpha(0.5)\\n ax.add_collection3d(face)\\n#ax.scatter(fp2s[0,iXX], fp2s[1,iXX], fp2s[2,iXX], s=100, c='w', edgecolor='k')\\nif np.sum(allfps**2)>0:\\n ax.scatter(allfps[0,:], allfps[1,:], allfps[2,:], s=10, c='w', edgecolor='k')\\nif np.std(Rs)>0.01:\\n\\n for ip in range(np.shape(fp1s)[1]):\\n ax.scatter(fp1s[0,ip], fp1s[1,ip], fp1s[2,ip], s=30, c='C0', edgecolor='k')\\n #plt.plot([0,fp1s[0,ip]], [0,fp1s[1,ip]], [0,fp1s[2,ip]], c='C0')\\n for ip2 in range(np.shape(fp1s)[1]):\\n dist = np.sqrt(np.sum((fp1s[:,ip]-fp1s[:,ip2])**2))\\n #if dist<10.:\\n # plt.plot([fp1s[0,ip], fp1s[0,ip2]], [fp1s[1,ip], fp1s[1,ip2]], [fp1s[2,ip], fp1s[2,ip2]], c='C0')\\n # \\n ##%%\\n #fig = plt.figure()\\n #ax = fig.add_subplot(111, projection='3d') \\n for ip in range(np.shape(fp2s)[1]):\\n ax.scatter(fp2s[0,ip], fp2s[1,ip], fp2s[2,ip], s=30, c='C1', edgecolor='k')\\n #plt.plot([0,fp2s[0,ip]], [0,fp2s[1,ip]], [0,fp2s[2,ip]], c='C1')\\n for ip2 in range(np.shape(fp2s)[1]):\\n dist = np.sqrt(np.sum((fp2s[:,ip]-fp2s[:,ip2])**2))\\n# if dist<10.:\\n# plt.plot([fp2s[0,ip], fp2s[0,ip2]], [fp2s[1,ip], fp2s[1,ip2]], [fp2s[2,ip], fp2s[2,ip2]], c='C1')\\nelse:\\n for ip in range(np.shape(fps)[1]):\\n if np.sum(fps[:,ip]**2)>0.2:\\n ax.scatter(fps[0,ip], fps[1,ip], fps[2,ip], s=30, c='k')\\n #plt.plot([0,fp1s[0,ip]], [0,fp1s[1,ip]], [0,fp1s[2,ip]], c='C0')\\n for ip2 in range(np.shape(fps)[1]):\\n dist = np.sqrt(np.sum((fps[:,ip]-fps[:,ip2])**2))\\n \\n #if dist<1.:\\n # plt.plot([fps[0,ip], fps[0,ip2]], [fps[1,ip], fps[1,ip2]], [fps[2,ip], fps[2,ip2]], c='C0')\\nax.set_xlabel(r'$\\\\kappa_1$')\\nax.set_ylabel(r'$\\\\kappa_2$')\\nax.set_zlabel(r'$\\\\kappa_3$')\\nax.dist=11\\n#ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\\n#ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\\n#ax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\\nax.set_xticks([-5, 5])\\nax.set_yticks([-5, 5])\\nax.set_zticks([-5, 5])\\n#\\n\\nplt.savefig('Th_Fig6B_1_B.pdf')\\n#ip = 2\\n##ax.scatter(fp2s[0,ip], fp2s[1,ip], fp2s[2,ip], s=150, c='k')\\n#print(eigvals2[:,ip])\\n\\n#%%\\nK = fps[:,0]\\nksol = - K\\nsteps = 100\\nfor st in range(steps):\\n ksol = -K\\n for ip in range(pops):\\n ksol[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n ksol[2] += (1/pops)*a_n3[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1]+a_m3[ip]*K[2], val**2*np.sum(K**2))\\n norm = np.sqrt(np.sum(ksol**2))\\n #print(norm)\\n K = K+0.05*ksol\\n#%%\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111, projection='3d', azim=-59, elev=10) \\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nax.set_zlabel('$\\\\kappa_3$')\\n\\n#plt.scatter([ 0, fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2), -fp2/np.sqrt(2)], \\\\\\n# [0, fp2/np.sqrt(2), -fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2)], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n#plt.scatter([ 0, 0, fp1, -fp1], [fp11, -fp11, 0, 0], s=70, edgecolor='w', facecolor='k', linewidth=1., zorder=5)\\n\\nNn = 1200\\n\\ninkap1 = np.linspace(-10.2, 10.2, 4)\\ninkap3 = np.linspace(-10.2, 10.2, 4)\\ninkap2 = np.linspace(-10.2, 10.2, 4)\\n\\n\\ndt = 0.15\\ntime = np.arange(0, 34, dt)\\n\\nfor i in np.arange(len(faces)):\\n square=[ verts[faces[i,0]], verts[faces[i,1]], verts[faces[i, 2]]]\\n face = a3.art3d.Poly3DCollection([square], alpha=0.2)\\n face.set_color(colors.rgb2hex(0.6*np.array((1., 0., 0.))+0.4*np.random.rand(3)))\\n face.set_edgecolor('k')\\n face.set_linewidth(1.)\\n face.set_alpha(0.5)\\n ax.add_collection3d(face)\\n\\nfor i in np.arange(len(faces2)):\\n square2=[ verts2[faces2[i,0]], verts2[faces2[i,1]], verts2[faces2[i, 2]], verts2[faces2[i, 3]]]\\n face = a3.art3d.Poly3DCollection([square2], alpha=0.25)\\n face.set_color(colors.rgb2hex(0.6*np.array((0., 0., 1.))+0.4*np.random.rand(3)))\\n face.set_edgecolor('k')\\n face.set_linewidth(1.)\\n face.set_alpha(0.5)\\n ax.add_collection3d(face)\\n \\n\\nfor trials in range(1):\\n m1, m2, m3, n1, n2, n3 = give_vecs(N = Nn, olap=olap, val=val) \\n\\n M = np.vstack((m1, m2, m3)).T\\n N = np.vstack((n1, n2, n3))\\n\\n J = np.dot(M, N)/Nn\\n \\n cC = np.ones(3)*0.6\\n \\n fps = np.zeros((3,len(inkap1)*len(inkap2)*len(inkap3)))\\n iX = 0\\n for ik1, ink1 in enumerate(inkap1):\\n #print(ik1)\\n for ik2, ink2 in enumerate(inkap2):\\n for ik3, ink3 in enumerate(inkap3):\\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n sk3 = np.zeros_like(time)\\n \\n \\n x0 = ink1*M[:,0] + ink2*M[:,1] +ink3*M[:,2]\\n sk1[0] = np.mean(M[:,0]*x0)\\n sk2[0] = np.mean(M[:,1]*x0)\\n sk3[0] = np.mean(M[:,2]*x0)\\n \\n for it, ti in enumerate(time[:-1]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))+np.sqrt(dt)*0.1*np.random.randn(len(x0))\\n sk1[it+1] = np.mean(M[:,0]*x)/np.mean(M[:,0]**2)\\n sk2[it+1] = np.mean(M[:,1]*x)/np.mean(M[:,1]**2)\\n sk3[it+1] = np.mean(M[:,2]*x)/np.mean(M[:,2]**2)\\n \\n x0 = x\\n ax.plot(sk1, sk2,sk3, c=cC)\\n ax.scatter(sk1[0], sk2[0], sk3[0], s=10, facecolor=cC)\\n ax.scatter(sk1[-1], sk2[-1], sk3[-1], s=25, facecolor=cC, edgecolor='k', zorder=3)\\n cand = np.array((sk1[-1], sk2[-1], sk3[-1]))\\n if np.min(np.mean((fps.T-cand)**2,1))>0.1:\\n fps[:,iX] = cand\\n iX+=1\\n fps = fps[:,0:iX+1]\\n \\nfor ip in range(np.shape(fps)[1]):\\n #ax.scatter(fps[0,ip], fps[1,ip], fps[2,ip], s=30, c='k')\\n #plt.plot([0,fp1s[0,ip]], [0,fp1s[1,ip]], [0,fp1s[2,ip]], c='C0')\\n for ip2 in range(np.shape(fps)[1]):\\n dist = np.sqrt(np.sum((fps[:,ip]-fps[:,ip2])**2))\\n #if dist<10.:\\n # plt.plot([fps[0,ip], fps[0,ip2]], [fps[1,ip], fps[1,ip2]], [fps[2,ip], fps[2,ip2]], c='k', lw=0.5)\\nax.set_xticks([-5, 0, 5])\\nax.set_zticks([-5, 0, 5])\\nax.set_yticks([-5, 0, 5])\\n\\n#ax.set_ylim([-8, 8])\\n#ax.set_xlim([-8, 8])\\n#ax.set_zlim([-8, 8]) \\nax.dist=11\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\n#ax.yaxis.set_ticks_position('left')\\n#ax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig6B_1_D.pdf') \\n\\n##%%\\n#m1, m2, m3, n1, n2, n3 = give_vecs(N = Nn, olap=4., val=0.) \\n#\\n#M = np.vstack((m1, m2, m3)).T\\n#N = np.vstack((n1, n2, n3))\\n#\\n#J = np.dot(M, N)/Nn\\n#Av, Vv = np.linalg.eig(J)\\n#\\n#plt.scatter(np.real(Av), np.imag(Av))\\n\\n#%%\\nAm = np.array((a_m1, a_m2, a_m3))\\nAn = np.array((a_n1, a_n2, a_n3))\\nRn = np.sum(An**2,0)\\n\\n#%%\\n#fig = plt.figure()\\nfrom mpl_toolkits.mplot3d import Axes3D\\n#ax = fig.add_subplot(111, projection='3d') \\n#ax.scatter(fps[0,:], fps[1,:F], fps[2,:])\\n#%%\\nm1, m2, m3, n1, n2, n3 = give_vecs(N = Nn, olap=olap, val=val) \\nPops = 8\\nfig = plt.figure()\\nax = fig.add_subplot(111, projection='3d', azim=-83, elev = 31)\\nax.scatter(n1, n2, n3, c='r', rasterized=True, alpha=0.5) \\n\\nfor ip in range(Pops):\\n for ip2 in range(Pops):\\n dist = np.sqrt(np.sum((An[:,ip]-An[:,ip2])**2))\\n if dist<28.:\\n ax.plot([An[0,ip], An[0,ip2]], [An[1,ip], An[1,ip2]],[An[2,ip], An[2,ip2]],c='k')\\nax.scatter(An[0,0:Pops], An[1,0:Pops], An[2,0:Pops], s=40, edgecolor='g', facecolor='k', zorder=4)\\n \\nax.set_xlabel(r'$n_i^{(1)}$')\\nax.set_ylabel(r'$n_i^{(2)}$')\\nax.set_zlabel(r'$n_i^{(3)}$')\\nax.dist=11\\n#ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\\n#ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\\n#sax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))\\nax.set_xticks([-8, 8])\\nax.set_yticks([-8, 8])\\nax.set_zticks([-8, 8])\\n\\nplt.savefig('Th_Fig6B_1_C.pdf')\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.4953177273273468,\n \"alphanum_fraction\": 0.5782608985900879,\n \"avg_line_length\": 29.82474136352539,\n \"blob_id\": \"88bb7f94febfbf8ec43454da7e072a0bb170225b\",\n \"content_id\": \"186a18b1a33474387b760c2d512e597c576ca2e1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11960,\n \"license_type\": \"no_license\",\n \"max_line_length\": 163,\n \"num_lines\": 388,\n \"path\": \"/C_Fig4.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\nnp.random.seed(2)\\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 400\\nnbins = 20\\n#s_mn1 = 0.5\\ns_mnI = np.array((-10., 4.5))\\ns_m2 = np.array((1.98, 0.02))\\ns_mn = s_mnI/s_m2\\n\\ncolor1 = np.array((31, 127, 17))/256\\ncolor2 = np.array((129, 34, 141))/256\\nclrs = np.zeros((3,2))\\nclrs[:,0] = color1\\nclrs[:,1] = color2\\n\\nm1 = np.random.randn(N)\\nm1[0:N//2] = np.sqrt(s_m2[0])*m1[0:N//2]/np.std(m1[0:N//2])\\nm1[N//2:] = np.sqrt(s_m2[1])*m1[N//2:]/np.std(m1[N//2:])\\nn1 = np.zeros_like(m1)\\nms = np.linspace(-80.5, 80.5, 4200)\\n\\nn1[0:N//2] = s_mn[0]*m1[0:N//2] +3*np.random.randn(N//2)\\nn1[N//2:] = s_mn[1]*m1[N//2:] +3*np.random.randn(N//2)\\n\\nfig = plt.figure(figsize=[3.6, 3.6])\\ngs = GridSpec(4,4)\\n\\nax_joint = fig.add_subplot(gs[1:4,0:3])\\nax_marg_x = fig.add_subplot(gs[0,0:3])\\nax_marg_y = fig.add_subplot(gs[1:4,3])\\n\\n#ax_joint.scatter(m2, n2, s=20, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$')\\nax_joint.scatter(m1[0:N//2], n1[0:N//2], s=20, alpha=0.5, label=r'$\\\\sigma_{mn} =$'+str(s_mn[0]), color =color1)\\nax_joint.scatter(m1[N//2:], n1[N//2:], s=20, alpha=0.5, label=r'$\\\\sigma_{mn} =$'+str(s_mn[1]), color =color2)\\n\\nax_joint.plot(ms, s_mn[0]*ms, '--', color ='k', lw=1)\\nax_joint.plot(ms, s_mn[1]*ms, '--', color ='k', lw=1)\\n\\n#ax_joint.legend(locolor =6,frameon=False, handletextpad=-0.1)\\nax_joint.spines['top'].set_visible(False)\\nax_joint.spines['right'].set_visible(False)\\nax_joint.yaxis.set_ticks_position('left')\\nax_joint.xaxis.set_ticks_position('bottom')\\n\\nyl = 70.9\\nax_joint.set_ylim([-yl, yl])\\nax_joint.set_xlim([-4, 4])\\n\\nax_joint.set_xlabel(r'$m_i$')\\nax_joint.set_ylabel(r'$n_i$')\\n\\nax_marg_x.hist(m1[0:N//2], nbins, alpha=0.5, density=True, color=color1)\\nax_marg_x.hist(m1[N//2:], nbins, alpha=0.5, density=True, color=color2)\\n\\n#ax_marg_x.hist(m2, nbins, alpha=0.5, density=True)\\n\\nax_marg_x.spines['top'].set_visible(False)\\nax_marg_x.spines['right'].set_visible(False)\\nax_marg_x.yaxis.set_ticks_position('left')\\nax_marg_x.xaxis.set_ticks_position('bottom')\\n\\na1 = np.exp(-ms**2/(2*s_m2[0]))/np.sqrt(2*np.pi*s_m2[0])\\na2 = np.exp(-ms**2/(2*s_m2[1]))/np.sqrt(2*np.pi*s_m2[1])\\n\\n#ax_marg_x.plot(ms, 0.5*(a1+a2), lw=2, color ='k')\\nax_marg_x.plot(ms, a1, lw=2, color =color1)\\nax_marg_x.plot(ms, a2, lw=2, color =color2)\\nax_marg_x.set_xlim([-4, 4])\\n\\nax_marg_y.hist(n1[0:N//2], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True, color=color1)\\nax_marg_y.hist(n1[N//2:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True, color=color2)\\n\\nss = s_mn[0]**2*np.var(m1[0:N//2])+3**2 #np.sqrt(s_m2[0])*m1[0:N//2]/np.std(m1[0:N//2])\\na1 = np.exp(-ms**2/(2*ss))/np.sqrt(2*np.pi*ss)\\n\\nss = s_mn[1]**2*np.var(m1[N//2:])+3**2\\na2 = np.exp(-ms**2/(2*ss))/np.sqrt(2*np.pi*ss)\\n#ax_marg_y.plot( 0.5*np.exp(-ms**2/(2*s_mn[0]**2))/np.sqrt(2*np.pi*s_mn[0]**2)+ 0.5*np.exp(-ms**2/(2*s_mn[1]**2))/np.sqrt(2*np.pi*s_mn[1]**2),ms, lw=2, color ='k')\\nax_marg_y.plot( a1,ms, lw=2, color =color1)\\nax_marg_y.plot( a2,ms, lw=2, color =color2)\\n\\n\\nax_marg_y.spines['top'].set_visible(False)\\nax_marg_y.spines['right'].set_visible(False)\\nax_marg_y.yaxis.set_ticks_position('left')\\nax_marg_y.xaxis.set_ticks_position('bottom')\\nax_marg_y.set_ylim([-yl, yl])\\n\\nax_marg_y.set_xticklabels(['0', '0.5'])\\n\\n## Turn off tick labels on marginals\\nplt.setp(ax_marg_x.get_xticklabels(), visible=False)\\nplt.setp(ax_marg_y.get_yticklabels(), visible=False)\\n\\n## Set labels on marginals\\nax_marg_y.set_xlabel(r'$P(n_i)$')\\nax_marg_x.set_ylabel(r'$P(m_i)$')\\n\\nplt.savefig('Th_Fig5_A.pdf')\\nplt.show()\\n\\n#%%\\ns_mnI = np.array((-10., 4.5))\\ns_m2 = np.array((1.98, 0.02))\\ns_mn = s_mnI/s_m2\\n\\n\\nkappas = np.linspace(-10, 10, 500)\\nFk1 = np.zeros_like(kappas)\\nFk2 = np.zeros_like(kappas)\\nFk1MC = np.zeros_like(kappas)\\nFk2MC = np.zeros_like(kappas)\\nNN = 100000\\nfor ik, ka in enumerate(kappas):\\n Fk1[ik]= s_mnI[0]*ka*Prime(0, s_m2[0]*ka**2) \\n Fk2[ik]= s_mnI[1]*ka*Prime(0, s_m2[1]*ka**2)\\n \\n m1 = np.random.randn(NN)\\n m1[0:NN//2] = np.sqrt(s_m2[0])*m1[0:NN//2]/np.std(m1[0:NN//2])\\n m1[NN//2:] = np.sqrt(s_m2[1])*m1[NN//2:]/np.std(m1[NN//2:])\\n n1 = np.zeros_like(m1)\\n ms = np.linspace(-80.5, 80.5, 1200)\\n \\n n1[0:NN//2] = s_mn[0]*m1[0:NN//2] +0.3*np.random.randn(NN//2)\\n n1[NN//2:] = s_mn[1]*m1[NN//2:] +0.3*np.random.randn(NN//2)\\n Fk1MC[ik] = np.mean(n1[0:NN//2]*np.tanh(m1[0:NN//2]*ka)) \\n Fk2MC[ik] = np.mean(n1[NN//2:]*np.tanh(m1[NN//2:]*ka))\\n \\nfig = plt.figure()\\nax = fig.add_subplot(111)\\n#plt.plot(kappas, Fk2, lw=2)\\nplt.plot(kappas, -kappas+0.5*(Fk1MC+Fk2MC), color ='C3', lw=2)\\n#plt.plot(kappas, -kappas+0.5*(Fk1MC+Fk2MC), '--', color ='C3', lw=2)\\n\\n\\nFk = -kappas+0.5*(Fk1MC+Fk2MC)\\nFk[Fk>0] = 10\\nFk[Fk<0] = -10\\nkappasm1 = kappas[:-1]\\nsl = kappasm1[np.diff(Fk)>1]+0.5*(kappas[1]-kappas[0])\\nsl2 = kappasm1[np.diff(Fk)<-1]+0.5*(kappas[1]-kappas[0])\\n\\nplt.plot(kappas, kappas*0, '--k')\\nplt.scatter(sl,np.zeros_like(sl), edgecolor='C3', color='w', s=60, lw=2, zorder=4)\\n\\nk0s = kappas[np.argmin(np.abs(Fk[kappas<0.1]))]\\nplt.scatter(sl2,np.zeros_like(sl2), edgecolor='k', color='C3', s=60, lw=1, zorder=4)\\n\\nplt.ylim([-1.5, 1.5])\\nplt.ylabel(r'dynamics $d\\\\kappa / dt$')\\nplt.xlabel(r'latent variable $\\\\kappa$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig5_B.pdf')\\nplt.show()\\n\\n\\n#%%\\ns_mnI = np.array((-10., 4.5))\\ns_m2 = np.array((1.98, 0.02))\\ns_mn = s_mnI/s_m2\\n\\n\\nkappas = np.linspace(-10, 10, 500)\\nFk1 = np.zeros_like(kappas)\\nFk2 = np.zeros_like(kappas)\\nFk1MC = np.zeros_like(kappas)\\nFk2MC = np.zeros_like(kappas)\\nFk1MC2 = np.zeros_like(kappas)\\nFk2MC2 = np.zeros_like(kappas)\\nNN = 100000\\nfor ik, ka in enumerate(kappas):\\n Fk1[ik]= s_mnI[0]*ka*Prime(0, s_m2[0]*ka**2) \\n Fk2[ik]= s_mnI[1]*ka*Prime(0, s_m2[1]*ka**2)\\n \\n m1 = np.random.randn(NN)\\n m1[0:NN//2] = np.sqrt(s_m2[0])*m1[0:NN//2]/np.std(m1[0:NN//2])\\n m1[NN//2:] = np.sqrt(s_m2[1])*m1[NN//2:]/np.std(m1[NN//2:])\\n n1 = np.zeros_like(m1)\\n ms = np.linspace(-80.5, 80.5, 1200)\\n \\n n1[0:NN//2] = s_mn[0]*m1[0:NN//2] +0.3*np.random.randn(NN//2)\\n n1[NN//2:] = s_mn[1]*m1[NN//2:] +0.3*np.random.randn(NN//2)\\n Fk1MC[ik] = np.mean((1./np.cosh(m1[0:NN//2]*ka))**2) \\n Fk1MC2[ik] = np.mean(n1[0:NN//2]*np.tanh(m1[0:NN//2]*ka)) \\n Fk2MC[ik] = np.mean((1./np.cosh(m1[NN//2:]*ka))**2) #np.mean(n1[NN//2:]*np.tanh(m1[NN//2:]*ka))\\n Fk2MC2[ik] = np.mean(n1[NN//2:]*np.tanh(m1[NN//2:]*ka))\\n \\nfig = plt.figure()\\nax = fig.add_subplot(111)\\n#plt.plot(kappas, -kappas, color ='C3', lw=2)\\nplt.plot(kappas, Fk1MC, color =color1, lw=2)\\nplt.plot(kappas, Fk2MC, color =color2, lw=2)\\n\\nFk = -kappas+0.5*(Fk1MC2+Fk2MC2)\\nFk[Fk>0] = 10\\nFk[Fk<0] = -10\\n#%%\\nkappasm1 = kappas[:-1]\\nsl = kappasm1[np.diff(Fk)>1]+0.5*(kappas[1]-kappas[0])\\nsl2 = kappasm1[np.diff(Fk)<-1]+0.5*(kappas[1]-kappas[0])\\n\\nplt.plot(kappas, kappas*0, '--k')\\n#plt.scatter(sl,np.zeros_like(sl), edgecolor='C3', color='w', s=60, lw=2, zorder=4)\\n\\nk0s = kappas[np.argmin(np.abs(Fk[kappas<0.1]))]\\n#plt.scatter(sl2,np.zeros_like(sl2), edgecolor='k', color='C3', s=60, lw=1, zorder=4)\\n\\nplt.ylim([0, 1.05])\\nplt.yticks([0, 0.5, 1.])\\nplt.ylabel(r'gain $\\\\left\\\\langle \\\\phi^\\\\prime \\\\right\\\\rangle$')\\nplt.xlabel(r'latent variable $\\\\kappa$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig5_C2.pdf')\\nplt.show()\\n\\n\\n\\n#%%\\nNN = 400\\n \\nm1 = np.random.randn(NN)\\nm1[0:NN//2] = np.sqrt(s_m2[0])*m1[0:NN//2]/np.std(m1[0:NN//2])\\nm1[NN//2:] = np.sqrt(s_m2[1])*m1[NN//2:]/np.std(m1[NN//2:])\\nn1 = np.zeros_like(m1)\\n \\n#\\nJ1 = np.dot(m1[:,None], n1[:,None].T)\\n#J2 = np.dot(m2[:,None], n2[:,None].T)\\n\\ntime = np.linspace(0, 15, 200)\\ndt = time[1]-time[0]\\n\\nnS = 10\\nxs1 = np.zeros((len(time), nS))\\nxs2 = np.zeros((len(time), nS))\\n\\nx0 = 0.5*np.random.randn(N)+10*np.random.randn()*m1\\n#x02 = 0.5*np.random.randn(N)\\nk1 = np.zeros(len(time))\\n#k2 = np.zeros(len(time))\\nfor it, t in enumerate(time[:-1]): \\n xs1[it] = x0[0:nS]\\n #xs2[it] = x02[0:nS]\\n k1[it] = np.mean(m1*x0)\\n #k2[it] = np.mean(m2*x02)\\n \\n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\\n #x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\\n \\n x0=x\\n #x02=x2\\n \\n xs1[it+1] = x0[0:nS]\\n #xs2[it+1] = x02[0:nS]\\n k1[it+1] = np.mean(m1*x0)\\n #k2[it+1] = np.mean(m2*x02)\\n#fig = plt.figure()\\n#ax = fig.add_subplot(111)\\n##plt.plot(time, xs2, color ='C0')\\n#plt.plot(time, xs1, color ='C1')\\n#\\n#ax.spines['top'].set_visible(False)\\n#ax.spines['right'].set_visible(False)\\n#ax.yaxis.set_ticks_position('left')\\n#ax.xaxis.set_ticks_position('bottom') \\n#plt.ylabel(r'activation $x_i\\\\left(t\\\\right)$')\\n#plt.xlabel(r'time')\\n#plt.savefig('Th_Fig5_C2.pdf')\\n\\n#%%\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\n\\ntrials = 20\\nk0s = np.linspace(-10, 10, trials)\\nfor rep in range(2):\\n\\n \\n N = 2000\\n \\n try_Ms = 100\\n \\n s_mnI = np.array((-10., 4.5))\\n s_m2 = np.array((1.98, 0.02))\\n s_mn = s_mnI/s_m2\\n \\n targ0 = 10\\n for try_M in range(try_Ms):\\n m1 = np.random.randn(N)\\n m1[0:N//2] = np.sqrt(s_m2[0])*m1[0:N//2]/np.std(m1[0:N//2])\\n m1[N//2:] = np.sqrt(s_m2[1])*m1[N//2:]/np.std(m1[N//2:])\\n n1 = np.zeros_like(m1)\\n ms = np.linspace(-80.5, 80.5, 1200)\\n \\n n1[0:N//2] = s_mn[0]*m1[0:N//2] +0.3*np.random.randn(N//2)\\n n1[N//2:] = s_mn[1]*m1[N//2:] +0.3*np.random.randn(N//2)\\n \\n targ = (np.mean(m1[0:N//2]*n1[0:N//2]) - s_mnI[0])**2+(np.mean(m1[N//2:]*n1[N//2:]) \\\\\\n - s_mnI[1])**2+ (np.mean(m1[0:N//2]*n1[N//2:])) **2+ (np.mean(m1[N//2:]*n1[0:N//2]))**2\\n if targ<targ0:\\n m1S = m1\\n n1S = n1\\n print(targ)\\n print('---')\\n \\n \\n m1 = m1S\\n n1 = n1S\\n \\n for tr in range(trials):\\n \\n m1 = m1S\\n n1 = n1S\\n \\n \\n J1 = np.dot(m1[:,None], n1[:,None].T)\\n J1s1 = J1[0:N, 0:N]\\n J1s2 = J1[N:, N:]\\n # J2 = np.dot(m2[:,None], n2[:,None].T)\\n key = (16*np.random.rand()-8)\\n x0 = 0.5*np.random.randn(N)+m1*k0s[tr]\\n # x02 = 0.5*np.random.randn(N)+0.05*m2*np.random.randn()\\n k1 = np.zeros(len(time))\\n # k2 = np.zeros(len(time))\\n for it, t in enumerate(time[:-1]): \\n xs1[it] = x0[0:nS]\\n # xs2[it] = x02[0:nS]\\n k1[it] = np.mean(m1*x0)\\n # k2[it] = np.mean(m2*x02)\\n \\n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\\n # x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\\n \\n x0=x\\n # x02=x2\\n \\n k1[it+1] = np.mean(m1*x0)\\n # k2[it+1] = np.mean(m2*x02)\\n plt.plot(time, k1, color =[0.4,0.4,0.4])\\n # plt.plot(time, k2, color ='C0')\\n \\n plt.plot(time, sl2[0]*np.ones_like(time), lw=4, alpha=0.2, color ='C3')\\n plt.plot(time, sl2[1]*np.ones_like(time), lw=4, alpha=0.2, color ='C3')\\n plt.plot(time, sl2[2]*np.ones_like(time), lw=4, alpha=0.2, color ='C3')\\n \\n plt.plot(time, sl[0]*np.ones_like(time), '--', lw=4, alpha=0.2, color ='C3')\\n plt.plot(time, sl[1]*np.ones_like(time), '--', lw=4, alpha=0.2, color ='C3')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.ylabel(r'latent variable $\\\\kappa$')\\nplt.xlabel(r'time')\\nplt.savefig('Th_Fig5_D.pdf')\\n\"\n },\n {\n \"alpha_fraction\": 0.5201597213745117,\n \"alphanum_fraction\": 0.5951923727989197,\n \"avg_line_length\": 31.370647430419922,\n \"blob_id\": \"1b9f59b0f20d292d8c254c230f6d87c744ff58ee\",\n \"content_id\": \"6a39047134d4dca9010af8f01c495b985ee0a9c7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 13021,\n \"license_type\": \"no_license\",\n \"max_line_length\": 127,\n \"num_lines\": 402,\n \"path\": \"/C_Fig3_IJKL.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 200\\nnbins = 20\\ns_mn1 = 0.5\\ns_mn2 = 1.2\\nm1 = np.random.randn(N)\\nm1 = m1/np.std(m1)\\nm2 = np.random.randn(N)\\nm2 = m2/np.std(m2)\\nms = np.linspace(-3, 3)\\n\\nn1 = s_mn1*m1+0.3*np.random.randn(N)\\nn2 = s_mn2*m2+0.3*np.random.randn(N)\\n\\n\\n#%%\\n# =============================================================================\\n# Fig 2\\n# =============================================================================\\nms = np.linspace(-5,5,100)\\nSigma = np.zeros((2,2))\\nSigma[0,0] = 1.6\\nSigma[1,1] = 1.6\\nSigma[0,1] = 0.\\nN = 1000\\nS=10\\nM = np.random.randn(N,2)\\nM = M/np.std(M,0)\\nss2 = 0.3\\n\\nN = np.dot(Sigma, M.T)+ss2*np.random.randn(2,N)\\n\\nfig = plt.figure(figsize=[3.2, 3.2], dpi=450)\\ngs = GridSpec(5,5)\\n\\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\\n\\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\\n\\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\\n\\nax_joint00.scatter(M[:,0], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint00.plot(ms, Sigma[0,0]*ms, '--', c='k', lw=1)\\nax_joint00.set_xlim([-3,3])\\nax_joint00.set_xticks([-2., 0, 2.])\\nax_joint00.set_xticklabels(['','',''])\\nax_joint00.set_ylim([-5.5,5.5])\\nax_joint00.set_yticks([-5, 0, 5])\\nax_joint00.set_ylabel(r'$n^{\\\\left(1\\\\right)}_i$')\\nax_joint00.spines['top'].set_visible(False)\\nax_joint00.spines['right'].set_visible(False)\\nax_joint00.yaxis.set_ticks_position('left')\\nax_joint00.xaxis.set_ticks_position('bottom')\\n \\nax_joint01.scatter(M[:,1], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint01.plot(ms, Sigma[0,1]*ms, '--', c='k', lw=1)\\nax_joint01.spines['top'].set_visible(False)\\nax_joint01.spines['right'].set_visible(False)\\nax_joint01.yaxis.set_ticks_position('left')\\nax_joint01.xaxis.set_ticks_position('bottom')\\nax_joint01.set_ylim([-5.5,5.5])\\nax_joint01.set_yticks([-5, 0, 5])\\nax_joint01.set_yticklabels(['','',''])\\nax_joint01.set_xlim([-3,3])\\nax_joint01.set_xticks([-2., 0, 2.])\\nax_joint01.set_xticklabels(['','',''])\\n\\nax_joint10.scatter(M[:,0], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint10.plot(ms, Sigma[1,0]*ms, '--', c='k', lw=1)\\nax_joint10.set_xlim([-3,3])\\nax_joint10.spines['top'].set_visible(False)\\nax_joint10.spines['right'].set_visible(False)\\nax_joint10.yaxis.set_ticks_position('left')\\nax_joint10.xaxis.set_ticks_position('bottom')\\nax_joint10.set_ylim([-5.5,5.5])\\nax_joint10.set_yticks([-5, 0, 5])\\nax_joint10.set_xlim([-3,3])\\nax_joint10.set_xticks([-2., 0, 2.])\\nax_joint10.set_ylabel(r'$n^{\\\\left(2\\\\right)}_i$')\\nax_joint10.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n\\nax_joint11.scatter(M[:,1], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint11.plot(ms, Sigma[1,1]*ms, '--', c='k', lw=1)\\nax_joint11.set_xlim([-3,3])\\nax_joint11.spines['top'].set_visible(False)\\nax_joint11.spines['right'].set_visible(False)\\nax_joint11.set_ylim([-5.5,5.5])\\nax_joint11.set_yticks([-5, 0, 5])\\nax_joint11.set_xticks([-2., 0, 2.])\\nax_joint11.set_xlim([-3,3])\\nax_joint11.set_yticklabels(['','',''])\\nax_joint11.yaxis.set_ticks_position('left')\\nax_joint11.xaxis.set_ticks_position('bottom')\\nax_joint11.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n\\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\n\\nax_marg_x0.spines['top'].set_visible(False)\\nax_marg_x0.spines['right'].set_visible(False)\\nax_marg_x0.spines['left'].set_visible(False)\\nax_marg_x0.yaxis.set_ticks_position('left')\\nax_marg_x0.xaxis.set_ticks_position('bottom')\\nax_marg_x0.set_xlim([-3,3])\\nax_marg_x0.set_xticks([-2., 0, 2.])\\nax_marg_x0.set_ylim([0,0.45])\\nax_marg_x0.set_xticklabels(['','',''])\\nax_marg_x0.set_yticks([1])\\n\\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\nax_marg_x1.spines['top'].set_visible(False)\\nax_marg_x1.spines['right'].set_visible(False)\\nax_marg_x1.spines['left'].set_visible(False)\\nax_marg_x1.yaxis.set_ticks_position('left')\\nax_marg_x1.xaxis.set_ticks_position('bottom')\\nax_marg_x1.set_xlim([-3,3])\\nax_marg_x1.set_ylim([0,0.45])\\nax_marg_x1.set_xticks([-2., 0, 2.])\\nax_marg_x1.set_xticklabels(['','',''])\\nax_marg_x1.set_yticks([1])\\n\\nax_marg_y0.hist(N[0,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(Sigma[0,0]**2+ss2**2)\\nax_marg_y0.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y0.spines['top'].set_visible(False)\\nax_marg_y0.spines['right'].set_visible(False)\\nax_marg_y0.spines['bottom'].set_visible(False)\\nax_marg_y0.yaxis.set_ticks_position('left')\\nax_marg_y0.xaxis.set_ticks_position('bottom')\\nax_marg_y0.set_ylim([-5.5,5.5])\\nax_marg_y0.set_xlim([0,0.45])\\nax_marg_y0.set_yticks([-5., 0, 5.])\\nax_marg_y0.set_yticklabels(['','',''])\\nax_marg_y0.set_xticks([1])\\nax_marg_y0.set_xticklabels([''])\\n\\nax_marg_y1.hist(N[1,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(Sigma[1,1]**2+ss2**2)\\nax_marg_y1.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y1.spines['top'].set_visible(False)\\nax_marg_y1.spines['right'].set_visible(False)\\nax_marg_y1.spines['bottom'].set_visible(False)\\nax_marg_y1.yaxis.set_ticks_position('left')\\nax_marg_y1.xaxis.set_ticks_position('bottom')\\nax_marg_y1.set_ylim([-5.5,5.5])\\nax_marg_y1.set_xlim([0,0.45])\\nax_marg_y1.set_yticks([-5., 0, 5.])\\nax_marg_y1.set_yticklabels(['','',''])\\nax_marg_y1.set_xticks([1])\\nax_marg_y1.set_xticklabels([''])\\n\\nplt.savefig('Th_Fig22_3_A.pdf')\\n\\n#%%\\nplt.rcParams[\\\"axes.grid\\\"] = False\\nfig = plt.figure(figsize = [2.0, 2.0])\\nax = fig.add_subplot(111) \\nplt.imshow(Sigma, cmap='OrRd', vmin = 0, vmax = 4)\\nax.tick_params(color='white')\\n\\n\\nfor i in range(np.shape(Sigma)[0]):\\n for j in range(np.shape(Sigma)[1]):\\n ax.text(i, j, str(Sigma[j,i]), va='center', ha='center', fontsize=16)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([0, 1])\\nax.set_yticks([0, 1])\\n\\n\\nax.set_xticklabels([r'$m_i^{\\\\left(1\\\\right)}$', r'$m_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\nax.set_yticklabels([r'$n_i^{\\\\left(1\\\\right)}$', r'$n_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\n\\nplt.savefig('Th_Fig22_3_B.pdf')\\n\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nu, v = np.linalg.eig(Sigma)\\nl1 = -0.5\\nl2 = 2.\\ncC = np.array((1, 1, 1,))*0.3\\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\\nplt.plot( [0,0],[l1, l2], 'k', lw=0.5)\\nax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\\n head_width=0.2, head_length=0.2)\\nax.arrow(0, 0, u[1]*v[0,1], u[1]*v[1,1], fc=cC, ec=cC, alpha =0.8, width=0.06,\\n head_width=0.2, head_length=0.2)\\n\\nax.text(0.8, 0.2, r'$\\\\lambda_1 \\\\bf{u}_1$', fontsize = 18)\\nax.text(0.55, 1., r'$\\\\lambda_2 \\\\bf{u}_2$', fontsize = 18)\\n\\n\\nax.set_xlim([l1, l2])\\nax.set_ylim([l1, l2])\\n\\n\\nax.axis('off')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nplt.savefig('Th_Fig22_3_B1.pdf')\\n\\n#%%\\nkaps1 = np.linspace(-1.3,1.3, 130)\\nkaps2 = np.linspace(-1.3,1.3, 100)\\nksol = np.zeros((len(kaps1), len(kaps2), 2))\\n\\nK1s, K2s = np.meshgrid(kaps1, kaps2)\\ndef transf(K):\\n return(K*Prime(0, np.dot(K.T, K)))\\n \\nE = np.zeros((len(kaps1), len(kaps2)))\\nfor ik1 ,k1 in enumerate(kaps1):\\n for ik2, k2 in enumerate(kaps2):\\n K = np.array((k1, k2))\\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\\n \\n\\n\\nsearch_kap1 = np.linspace(0.2, 1.3, 300)\\nE_1 = np.zeros_like(search_kap1)\\nfor ik1 ,k1 in enumerate(search_kap1):\\n K = v[:,0]*k1\\n kSS = - K+ np.dot(Sigma, transf(K))\\n E_1[ik1] = np.sqrt(np.sum(kSS**2))\\nfp1 = search_kap1[np.argmin(E_1)]\\n\\nsearch_kap2 = np.linspace(0.2, 1.3, 300)\\nE_2 = np.zeros_like(search_kap1)\\nfor ik2 ,k2 in enumerate(search_kap2):\\n K = v[:,1]*k2\\n kSS = - K+ np.dot(Sigma, transf(K))\\n E_2[ik2] = np.sqrt(np.sum(kSS**2))\\nfp2 = search_kap2[np.argmin(E_2)]\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading='auto')\\n\\n#cbar = ax.figure.colorbar(im, ax=ax)\\n#cbar.set_ticks([-2, -1, 0])\\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\\n#cbar.set_label(r'$\\\\log_{10}$ speed', rotation=270, labelpad=18)\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0, ], [0,], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\\nths = np.linspace(0, np.pi*2)\\n\\nplt.plot(fp1*np.cos(ths), fp1*np.sin(ths), c='w', lw=3)\\nplt.plot(fp1*np.cos(ths), fp1*np.sin(ths), c='k', lw=1)\\n\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\nplt.savefig('Th_Fig22_3_C1.pdf')\\n\\n\\n\\n#%%\\nnp.random.seed(66779)\\ncC = np.array((1, 1, 1,))*0.3\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0,], [0,], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n#plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\\n#plt.plot(fp1*np.cos(ths), fp1*np.sin(ths), c='w', lw=2)\\nplt.plot(fp1*np.cos(ths), fp1*np.sin(ths), '--k', lw=1)\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\n\\nNn = 1000\\nSigmaTot = np.eye(4)\\nSigmaTot[2,2] = 4\\nSigmaTot[3,3] = 4\\n\\nSigmaTot[0,2] = Sigma[0,0]\\nSigmaTot[0,3] = Sigma[1,0]\\nSigmaTot[1,2] = Sigma[0,1]\\nSigmaTot[1,3] = Sigma[1,1]\\n\\nSigmaTot[2,0] = SigmaTot[0,2]\\nSigmaTot[3,0] = SigmaTot[0,3]\\nSigmaTot[2,1] = SigmaTot[1,2]\\nSigmaTot[3,1] = SigmaTot[1,3]\\n\\nMu= np.zeros((4,1))\\n\\ninkap1 = np.linspace(-1, 1, 4)\\ninkap2 = np.linspace(-1.1, 1.1001, 5)\\n\\ndt = 0.8\\ntime = np.arange(0, 280, dt)\\n\\nfor trials in range(2):\\n try_s0 = 100\\n for tr in range(20):\\n XX = np.random.multivariate_normal(Mu[:,0], SigmaTot, size=Nn)\\n try_s = np.sum((np.dot(XX.T,XX)/1000-SigmaTot)**2)\\n if try_s < try_s0:\\n #print(try_s)\\n try_s0 = try_s\\n XX_s = XX\\n M = XX_s[:,0:2]\\n N = XX_s[:,2:4]\\n \\n J = np.dot(M, N.T)/Nn\\n \\n cC = 0.6+0.2*np.random.rand()-0.1\\n \\n for ik1, ink1 in enumerate(inkap1):\\n for ik2, ink2 in enumerate(inkap2):\\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n \\n x0 = ink1*M[:,0] + ink2*M[:,1]\\n sk1[0] = np.mean(M[:,0]*x0)\\n sk2[0] = np.mean(M[:,1]*x0)\\n \\n for it, ti in enumerate(time[:-1]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\\n sk1[it+1] = np.mean(M[:,0]*x)\\n sk2[it+1] = np.mean(M[:,1]*x)\\n x0 = x\\n plt.plot(sk1, sk2, c=[cC, cC, cC])\\n plt.scatter(sk1[0], sk2[0], s=15, facecolor=[cC, cC, cC])\\n if trials==0:\\n cC = 0.3\\n plt.plot(sk1, sk2, c=[cC, cC, cC])\\n plt.scatter(sk1[0], sk2[0], s=15, facecolor=[cC, cC, cC])\\n plt.scatter(sk1[-1], sk2[-1], s=40, facecolor=[cC, cC, cC], edgecolor='k', linewidth=1., zorder=5)\\n elif trials==1:\\n cC = 0.6\\n plt.plot(sk1, sk2, c=[cC, cC, cC])\\n plt.scatter(sk1[0], sk2[0], s=15, facecolor=[cC, cC, cC])\\n plt.scatter(sk1[-1], sk2[-1], s=40, facecolor=[cC, cC, cC], edgecolor='k', linewidth=1., zorder=5)\\n \\n \\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\n \\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\n\\nplt.savefig('Th_Fig22_3_D.pdf') \\n \"\n },\n {\n \"alpha_fraction\": 0.5509763360023499,\n \"alphanum_fraction\": 0.6148654818534851,\n \"avg_line_length\": 26.573200225830078,\n \"blob_id\": \"1f5704326cb247fb78e071486c980b7d4da8bfb2\",\n \"content_id\": \"c9c7cfa294b0245882babb553db4fc5895469991\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11113,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 403,\n \"path\": \"/C_Fig2.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 200\\nnbins = 20\\ns_mn1 = 0.5\\ns_mn2 = 1.2\\nm1 = np.random.randn(N)\\nm1 = m1/np.std(m1)\\nm2 = np.random.randn(N)\\nm2 = m2/np.std(m2)\\nms = np.linspace(-3, 3)\\n\\nn1 = s_mn1*m1+0.3*np.random.randn(N)\\nn2 = s_mn2*m2+0.3*np.random.randn(N)\\n\\nss1 = np.sqrt(s_mn1+0.3**2)\\nss2 = np.sqrt(s_mn2+0.3**2)\\n\\nfig = plt.figure(figsize=[3.6, 3.6])\\n\\ngs = GridSpec(4,4)\\n\\nax_joint = fig.add_subplot(gs[1:4,0:3])\\nax_marg_x = fig.add_subplot(gs[0,0:3])\\nax_marg_y = fig.add_subplot(gs[1:4,3])\\n\\n\\n\\nax_joint.scatter(m1, n1, s=20, alpha=0.5, label=r'$\\\\sigma_{mn} = 0.5$')\\n\\nax_joint.plot(ms, s_mn1*ms, '--', c='k', lw=1)\\nax_joint.plot(ms, ms, c='k', lw=1)\\n\\n\\nax_joint.legend(loc=2,frameon=False, handletextpad=-0.1)\\nax_joint.spines['top'].set_visible(False)\\nax_joint.spines['right'].set_visible(False)\\nax_joint.yaxis.set_ticks_position('left')\\nax_joint.xaxis.set_ticks_position('bottom')\\n\\nax_joint.set_ylim([-4.2, 4.2])\\nax_joint.set_xlabel(r'$m_i$')\\nax_joint.set_ylabel(r'$n_i$')\\n\\nax_marg_x.hist(m2, nbins, alpha=0.5, density=True)\\n\\nax_marg_x.spines['top'].set_visible(False)\\nax_marg_x.spines['right'].set_visible(False)\\nax_marg_x.yaxis.set_ticks_position('left')\\nax_marg_x.xaxis.set_ticks_position('bottom')\\nax_marg_x.plot( ms, np.exp(-ms**2/(2*1**2))/np.sqrt(2*np.pi*1**2), c='C0', lw=2)\\n\\nax_marg_y.hist(n1, nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\n\\nax_marg_y.plot( np.exp(-ms**2/(2*ss1**2))/np.sqrt(2*np.pi*ss1**2),ms, lw=2, c='C0',)\\n\\n\\nax_marg_y.spines['top'].set_visible(False)\\nax_marg_y.spines['right'].set_visible(False)\\nax_marg_y.yaxis.set_ticks_position('left')\\nax_marg_y.xaxis.set_ticks_position('bottom')\\nax_marg_y.set_ylim([-4.2, 4.2])\\n\\nax_marg_y.set_xticklabels(['0', '0.5'])\\n\\n## Turn off tick labels on marginals\\nplt.setp(ax_marg_x.get_xticklabels(), visible=False)\\nplt.setp(ax_marg_y.get_yticklabels(), visible=False)\\n\\n## Set labels on marginals\\nax_marg_y.set_xlabel(r'$P(n_i)$')\\nax_marg_x.set_ylabel(r'$P(m_i)$')\\n\\nplt.savefig('Th_Fig1_A_11.pdf')\\n\\n#%%\\nfig = plt.figure(figsize=[3.6, 3.6])\\n\\ngs = GridSpec(4,4)\\n\\nax_joint = fig.add_subplot(gs[1:4,0:3])\\nax_marg_x = fig.add_subplot(gs[0,0:3])\\nax_marg_y = fig.add_subplot(gs[1:4,3])\\n\\n\\n\\nax_joint.scatter(m2, n2, s=20, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$')\\n\\nax_joint.plot(ms, s_mn2*ms, '--', c='k', lw=1)\\nax_joint.plot(ms, ms, c='k', lw=1)\\n\\n\\nax_joint.legend(loc=2,frameon=False, handletextpad=-0.1)\\nax_joint.spines['top'].set_visible(False)\\nax_joint.spines['right'].set_visible(False)\\nax_joint.yaxis.set_ticks_position('left')\\nax_joint.xaxis.set_ticks_position('bottom')\\n\\nax_joint.set_ylim([-4.2, 4.2])\\nax_joint.set_xlabel(r'$m_i$')\\nax_joint.set_ylabel(r'$n_i$')\\n\\nax_marg_x.hist(m2, nbins, alpha=0.5, density=True)\\n\\nax_marg_x.spines['top'].set_visible(False)\\nax_marg_x.spines['right'].set_visible(False)\\nax_marg_x.yaxis.set_ticks_position('left')\\nax_marg_x.xaxis.set_ticks_position('bottom')\\nax_marg_x.plot( ms, np.exp(-ms**2/(2*1**2))/np.sqrt(2*np.pi*1**2), c='C0', lw=2)\\n\\nax_marg_y.hist(n2, nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\n\\nax_marg_y.plot( np.exp(-ms**2/(2*ss2**2))/np.sqrt(2*np.pi*ss2**2),ms, lw=2, c='C0',)\\n\\nax_marg_y.spines['top'].set_visible(False)\\nax_marg_y.spines['right'].set_visible(False)\\nax_marg_y.yaxis.set_ticks_position('left')\\nax_marg_y.xaxis.set_ticks_position('bottom')\\nax_marg_y.set_ylim([-4.2, 4.2])\\n\\nax_marg_y.set_xticklabels(['0', '0.5'])\\n\\n## Turn off tick labels on marginals\\nplt.setp(ax_marg_x.get_xticklabels(), visible=False)\\nplt.setp(ax_marg_y.get_yticklabels(), visible=False)\\n\\n## Set labels on marginals\\nax_marg_y.set_xlabel(r'$P(n_i)$')\\nax_marg_x.set_ylabel(r'$P(m_i)$')\\n\\nplt.savefig('Th_Fig1_A_12.pdf')\\n#%%\\nkappas = np.linspace(-1, 1, 500)\\nFk1 = np.zeros_like(kappas)\\nFk2 = np.zeros_like(kappas)\\n\\nfor ik, ka in enumerate(kappas):\\n Fk1[ik]= -ka + s_mn1*ka*Prime(0, ka**2)\\n Fk2[ik]= -ka + s_mn2*ka*Prime(0, ka**2)\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\nplt.plot(kappas, Fk2, lw=2, c='C3')\\n#plt.plot(kappas, Fk1, lw=2)\\n\\nplt.plot(kappas, kappas*0, '--k')\\nplt.scatter(0,0, edgecolor='C3', color='w', s=60, lw=2, zorder=4)\\n\\nk0s = kappas[np.argmin(np.abs(Fk2[kappas<0.1]))]\\nplt.scatter(k0s,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\\nplt.scatter(-k0s,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\\n\\nplt.ylim([-0.5, 0.5])\\nplt.ylabel(r'dynamics $d\\\\kappa / dt$')\\nplt.xlabel(r'latent variable $\\\\kappa$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig1_C_2.pdf')\\n\\n#%%\\nkappas = np.linspace(-1, 1, 500)\\nFk1 = np.zeros_like(kappas)\\nFk2 = np.zeros_like(kappas)\\n\\nfor ik, ka in enumerate(kappas):\\n Fk1[ik]= -ka + s_mn1*ka*Prime(0, ka**2)\\n Fk2[ik]= -ka + s_mn2*ka*Prime(0, ka**2)\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\n#plt.plot(kappas, Fk2, lw=2)\\nplt.plot(kappas, Fk1, lw=2, c='C3')\\n\\nplt.plot(kappas, kappas*0, '--k')\\n#plt.scatter(0,0, edgecolor='C3', color='w', s=60, lw=2, zorder=4)\\n\\nk0s = kappas[np.argmin(np.abs(Fk2[kappas<0.1]))]\\nplt.scatter(0,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\\n#plt.scatter(-k0s,0, edgecolor='k', color='C3', s=60, lw=1, zorder=4)\\n\\nplt.ylim([-0.5, 0.5])\\nplt.ylabel(r'dynamics $d\\\\kappa / dt$')\\nplt.xlabel(r'latent variable $\\\\kappa$')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig1_C_1.pdf')\\n\\n#%%\\nJ1 = np.dot(m1[:,None], n1[:,None].T)\\nJ2 = np.dot(m2[:,None], n2[:,None].T)\\n\\ntime = np.linspace(0, 40, 1000)\\ndt = time[1]-time[0]\\n\\nnS = 10\\nxs1 = np.zeros((len(time), nS))\\nxs2 = np.zeros((len(time), nS))\\n\\nx0 = 0.5*np.random.randn(N)\\nx02 = 0.5*np.random.randn(N)\\nk1 = np.zeros(len(time))\\nk2 = np.zeros(len(time))\\nfor it, t in enumerate(time[:-1]): \\n xs1[it] = x0[0:nS]\\n xs2[it] = x02[0:nS]\\n k1[it] = np.mean(m1*x0)\\n k2[it] = np.mean(m2*x02)\\n \\n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\\n \\n x0=x\\n x02=x2\\n \\n xs1[it+1] = x0[0:nS]\\n xs2[it+1] = x02[0:nS]\\n k1[it+1] = np.mean(m1*x0)\\n k2[it+1] = np.mean(m2*x02)\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\nplt.plot(time, xs2, c='C0')\\n#plt.plot(time, xs1, c='C1')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.ylabel(r'activation $x_i\\\\left(t\\\\right)$')\\nplt.xlabel(r'time')\\nplt.savefig('Th_Fig1_B_2.pdf')\\n\\n#%%\\nJ1 = np.dot(m1[:,None], n1[:,None].T)\\nJ2 = np.dot(m2[:,None], n2[:,None].T)\\n\\ntime = np.linspace(0, 40, 1000)\\ndt = time[1]-time[0]\\n\\nnS = 10\\nxs1 = np.zeros((len(time), nS))\\nxs2 = np.zeros((len(time), nS))\\n\\nx0 = 0.5*np.random.randn(N)\\nx02 = 0.5*np.random.randn(N)\\nk1 = np.zeros(len(time))\\nk2 = np.zeros(len(time))\\nfor it, t in enumerate(time[:-1]): \\n xs1[it] = x0[0:nS]\\n xs2[it] = x02[0:nS]\\n k1[it] = np.mean(m1*x0)\\n k2[it] = np.mean(m2*x02)\\n \\n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\\n \\n x0=x\\n x02=x2\\n \\n xs1[it+1] = x0[0:nS]\\n xs2[it+1] = x02[0:nS]\\n k1[it+1] = np.mean(m1*x0)\\n k2[it+1] = np.mean(m2*x02)\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\n#plt.plot(time, xs2, c='C0')\\nplt.plot(time, xs1, c='C0')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.ylabel(r'activation $x_i\\\\left(t\\\\right)$')\\nplt.xlabel(r'time')\\nplt.savefig('Th_Fig1_B_1.pdf')\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\ntrials = 10\\n\\nN = 1000\\nfor tr in range(trials):\\n m1 = np.random.randn(N)\\n m1 = m1/np.std(m1)\\n m2 = np.random.randn(N)\\n m2 = m2/np.std(m2)\\n ms = np.linspace(-3, 3)\\n \\n n1 = s_mn1*m1+0.3*np.random.randn(N)\\n n2 = s_mn2*m2+0.3*np.random.randn(N)\\n\\n J1 = np.dot(m1[:,None], n1[:,None].T)\\n J2 = np.dot(m2[:,None], n2[:,None].T)\\n x0 = 0.5*np.random.randn(N)+0.05*m1*np.random.randn()\\n x02 = 0.5*np.random.randn(N)+0.05*m2*np.random.randn()\\n k1 = np.zeros(len(time))\\n k2 = np.zeros(len(time))\\n for it, t in enumerate(time[:-1]): \\n xs1[it] = x0[0:nS]\\n xs2[it] = x02[0:nS]\\n k1[it] = np.mean(m1*x0)\\n k2[it] = np.mean(m2*x02)\\n \\n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\\n \\n x0=x\\n x02=x2\\n \\n k1[it+1] = np.mean(m1*x0)\\n k2[it+1] = np.mean(m2*x02)\\n plt.plot(time, k1, c='C3')\\n #plt.plot(time, k2, c='C0')\\n \\nplt.plot(time, 0*time, lw=4, alpha=0.2, c='C3')\\n#plt.plot(time, k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\\n#plt.plot(time, -k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.ylabel(r'latent variable $\\\\kappa$')\\nplt.xlabel(r'time')\\nplt.savefig('Th_Fig1_D_1.pdf')\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111)\\ntrials = 10\\n\\nN = 1000\\nfor tr in range(trials):\\n m1 = np.random.randn(N)\\n m1 = m1/np.std(m1)\\n m2 = np.random.randn(N)\\n m2 = m2/np.std(m2)\\n ms = np.linspace(-3, 3)\\n \\n n1 = s_mn1*m1+0.3*np.random.randn(N)\\n n2 = s_mn2*m2+0.3*np.random.randn(N)\\n\\n J1 = np.dot(m1[:,None], n1[:,None].T)\\n J2 = np.dot(m2[:,None], n2[:,None].T)\\n x0 = 0.5*np.random.randn(N)+0.05*m1*np.random.randn()\\n x02 = 0.5*np.random.randn(N)+0.05*m2*np.random.randn()\\n k1 = np.zeros(len(time))\\n k2 = np.zeros(len(time))\\n for it, t in enumerate(time[:-1]): \\n xs1[it] = x0[0:nS]\\n xs2[it] = x02[0:nS]\\n k1[it] = np.mean(m1*x0)\\n k2[it] = np.mean(m2*x02)\\n \\n x = x0 + dt*(-x0+np.dot(J1, np.tanh(x0)/N))\\n x2 = x02 + dt*(-x02+np.dot(J2, np.tanh(x02)/N))\\n \\n x0=x\\n x02=x2\\n \\n k1[it+1] = np.mean(m1*x0)\\n k2[it+1] = np.mean(m2*x02)\\n #plt.plot(time, k1, c='C3')\\n plt.plot(time, k2, c='C3')\\n \\n#plt.plot(time, 0*time, lw=4, alpha=0.2, c='C3')\\nplt.plot(time, k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\\nplt.plot(time, -k0s*np.ones_like(time), lw=4, alpha=0.2, c='C3')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.ylabel(r'latent variable $\\\\kappa$')\\nplt.xlabel(r'time')\\nplt.savefig('Th_Fig1_D_2.pdf')\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.48015499114990234,\n \"alphanum_fraction\": 0.5536705255508423,\n \"avg_line_length\": 28.750778198242188,\n \"blob_id\": \"3443c91d90efc2615d69f09c2999017a1738871c\",\n \"content_id\": \"39bb5be8c40ea5b2dcb82f79ee2cb5c6ed7b42f2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 9549,\n \"license_type\": \"no_license\",\n \"max_line_length\": 136,\n \"num_lines\": 321,\n \"path\": \"/C_Fig8_ABC.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Wed Oct 7 11:01:38 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Trip (mu, delta0):\\n integrand = 2*(np.cosh(2*(mu+np.sqrt(delta0)*gauss_points))-2 )/np.cosh(mu+np.sqrt(delta0)*gauss_points)**4\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n\\n#%%\\n\\nepss = np.array((0, 0.1, 0.2, 0.4, 0.6, 1.0, 2.0))\\n\\nfp1s = np.zeros_like(epss)\\nfp2s = np.zeros_like(epss)\\nus = np.zeros((2,len(epss)))\\nvs = np.zeros((2,2,len(epss)))\\nu3s = np.zeros((2,len(epss)))\\nv3s = np.zeros((2,2,len(epss)))\\n\\ndt = 0.1\\nT = 40\\ntime = np.arange(0, T, dt)\\ntraj1s = np.zeros((2,len(time), len(epss)))\\ntraj2s = np.zeros((2,len(time), len(epss)))\\n\\nclS = np.zeros((3, len(epss)))\\n\\ncl2 = np.array(( 225/256, 74/256, 51/256))\\ncl1 = np.array(( 0.5, 0.5, 0.5))\\n\\nnL = len(epss)-1\\nfor iep, eps in enumerate(epss):\\n clS[:,iep] = cl1* (nL-iep)/nL + cl2* (iep)/nL\\n\\nfor iep, eps in enumerate(epss):\\n ms = np.linspace(-5,5,100)\\n Sigma = np.zeros((2,2))\\n Sigma[0,0] = 1.2\\n Sigma[1,1] = 1.6\\n Sigma[0,1] = eps\\n \\n \\n #%%\\n\\n \\n u, v = np.linalg.eig(Sigma)\\n us[:,iep] = u\\n vs[:,:,iep] = v\\n \\n l1 = -0.5\\n l2 = 2.\\n cC = np.array((1, 1, 1,))*0.3\\n\\n \\n #%%\\n kaps1 = np.linspace(-1.3,1.3, 130)\\n kaps2 = np.linspace(-1.3,1.3, 100)\\n ksol = np.zeros((len(kaps1), len(kaps2), 2))\\n \\n K1s, K2s = np.meshgrid(kaps1, kaps2)\\n def transf(K):\\n return(K*Prime(0, np.dot(K.T, K)))\\n \\n E = np.zeros((len(kaps1), len(kaps2)))\\n for ik1 ,k1 in enumerate(kaps1):\\n for ik2, k2 in enumerate(kaps2):\\n K = np.array((k1, k2))\\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\\n \\n \\n \\n search_kap1 = np.linspace(0.2, 1.3, 300)\\n E_1 = np.zeros_like(search_kap1)\\n for ik1 ,k1 in enumerate(search_kap1):\\n K = v[:,0]*k1\\n kSS = - K+ np.dot(Sigma, transf(K))\\n E_1[ik1] = np.sqrt(np.sum(kSS**2))\\n fp1 = search_kap1[np.argmin(E_1)]\\n fp1s[iep] = fp1\\n \\n search_kap2 = np.linspace(0.2, 1.3, 300)\\n E_2 = np.zeros_like(search_kap1)\\n for ik2 ,k2 in enumerate(search_kap2):\\n K = v[:,1]*k2\\n kSS = - K+ np.dot(Sigma, transf(K))\\n E_2[ik2] = np.sqrt(np.sum(kSS**2))\\n fp2 = search_kap2[np.argmin(E_2)]\\n fp2s[iep] = fp2\\n \\n RR = np.array((v[0,0]*fp1, v[1,0]*fp1))\\n RR = RR[:,None]\\n Triple = Trip(0, fp1**2)\\n S2 = -np.eye(2)+Sigma/u[0] + Triple*u[0]*np.dot(RR,RR.T)\\n \\n u2, v2 = np.linalg.eig(S2)\\n print(u2)\\n k1 = RR[:,0]\\n\\n traj1 = np.zeros((2,len(time)))\\n traj2 = np.zeros((2,len(time)))\\n traj1[:,0] = RR[:,0] + 0.01 * v2[:,1]\\n traj2[:,0] = RR[:,0] - 0.01* v2[:,1]\\n \\n for it, ti in enumerate(time[:-1]):\\n traj1[:,it+1] = traj1[:,it] + dt*(-traj1[:,it] + np.dot(Sigma,transf(traj1[:,it])))\\n traj2[:,it+1] = traj2[:,it] + dt*(-traj2[:,it] + np.dot(Sigma,transf(traj2[:,it])))\\n \\n traj1s[:,:,iep] = traj1\\n traj2s[:,:,iep] = traj2\\n \\n \\n RR = np.array((v[0,1]*fp2, v[1,1]*fp2))\\n RR = RR[:,None]\\n Triple = Trip(0, fp2**2)\\n S3 = -np.eye(2)+Sigma/u[1] + Triple*u[1]*np.dot(RR,RR.T)\\n\\n u3, v3 = np.linalg.eig(S3)\\n print(u3)\\n print('--')\\n u3s[:,iep] = u3\\n v3s[:,:,iep] = v3\\n \\n \\n fig = plt.figure()\\n ax = fig.add_subplot(111) \\n im = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading= 'auto')\\n \\n\\n strm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\\n plt.xlabel('$\\\\kappa_1$')\\n plt.ylabel('$\\\\kappa_2$')\\n# plt.scatter([fp1, 0, -fp1], [0,0,0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n# plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=100, edgecolor='w', facecolor='k', linewidth=1.5, zorder=4)\\n# \\n plt.scatter([fp1, 0, -fp1], [0,0,0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=80, edgecolor='w', facecolor=clS[:,iep], linewidth=1.5, zorder=4)\\n \\n plt.plot(traj1s[0,:,iep], traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\\n plt.plot(-traj1s[0,:,iep], -traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\\n \\n plt.plot(traj2s[0,:,iep], traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\\n plt.plot(-traj2s[0,:,iep], -traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\\n \\n ax.set_xticks([-1, 0, 1])\\n ax.set_yticks([-1, 0, 1])\\n ax.set_ylim([np.min(kaps2), np.max(kaps2)])\\n ax.set_xlim([np.min(kaps1), np.max(kaps1)])\\n plt.savefig('Th_FigS2_2_C1_'+str(eps)+'.pdf')\\n \\n#%%\\n \\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nfor iep, eps in enumerate(epss):\\n fp1 = fp1s[iep]\\n fp2 = fp2s[iep]\\n u = us[:,iep]\\n v = vs[:,:,iep]\\n \\n plt.scatter([fp1, 0, -fp1], [0,0,0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\n plt.scatter( [v[0,1]*fp2,-v[0,1]*fp2], [v[1,1]*fp2,-v[1,1]*fp2], s=80, edgecolor='w', facecolor=clS[:,iep], linewidth=1.5, zorder=4)\\n \\n plt.plot(traj1s[0,:,iep], traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\\n plt.plot(-traj1s[0,:,iep], -traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\\n \\n plt.plot(traj2s[0,:,iep], traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\\n plt.plot(-traj2s[0,:,iep], -traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\\n \\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.savefig('Th_FigS2_C.pdf')\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\\nplt.plot( [0,0],[l1, l2], 'k', lw=0.5)\\nfor iep, eps in enumerate(epss):\\n Sigma = np.zeros((2,2))\\n Sigma[0,0] = 1.2\\n Sigma[1,1] = 1.6\\n Sigma[0,1] = eps\\n \\n \\n u, v = np.linalg.eig(Sigma)\\n l1 = -1.\\n l2 = 2.\\n cC = np.array((1, 1, 1,))*0.3\\n\\n ax.arrow(0, 0, u[0]*v[0,0], u[0]*v[1,0], fc=cC, ec=cC, alpha =0.8, width=0.06,\\n head_width=0.2, head_length=0.2, zorder=3)\\n ax.arrow(0, 0, u[1]*v[0,1], u[1]*v[1,1], fc=clS[:,iep], ec='k', alpha =0.8, width=0.06,\\n head_width=0.2, head_length=0.2, zorder=3)\\n \\n ax.text(0.8, -0.4, r'$\\\\lambda_1 \\\\bf{u}_1$', fontsize = 15)\\n ax.text(1., 1.5, r'$\\\\lambda_2 \\\\bf{u}_2$', fontsize = 15)\\n \\n \\n ax.set_xlim([l1, l2])\\n ax.set_ylim([l1, l2])\\n \\n ax.axis('off')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.spines['left'].set_visible(False)\\n ax.spines['bottom'].set_visible(False)\\n \\n plt.savefig('Th_FigS2_B.pdf')\\n#%%\\nSigma2 = np.zeros_like(Sigma)\\nSigma2[:,:] = Sigma\\n\\n\\nplt.rcParams[\\\"axes.grid\\\"] = False\\nfig = plt.figure(figsize = [2.0, 2.0])\\nax = fig.add_subplot(111) \\nplt.imshow(Sigma2, cmap='OrRd', vmin = 0, vmax = 4)\\nax.tick_params(color='white')\\n\\n\\nfor i in range(np.shape(Sigma)[0]):\\n for j in range(np.shape(Sigma)[1]):\\n if i==1 and j==0:\\n ax.text(i, j, ' ', va='center', ha='center', fontsize=16)\\n else:\\n ax.text(i, j, str(Sigma2[j,i]), va='center', ha='center', fontsize=16)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([0, 1])\\nax.set_yticks([0, 1])\\n\\n\\nax.set_xticklabels([r'$m_i^{\\\\left(1\\\\right)}$', r'$m_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\nax.set_yticklabels([r'$n_i^{\\\\left(1\\\\right)}$', r'$n_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\n\\nplt.savefig('Th_FigS2_A1.pdf')\\nplt.show()\\n\\n#%%\\nfig = plt.figure(figsize = [2.0, 1.1])\\nax = fig.add_subplot(111) \\n\\nclS = np.zeros((3, len(epss)))\\n\\ncl2 = np.array(( 225/256, 74/256, 51/256))\\ncl1 = np.array(( 0.5, 0.5, 0.5))\\n\\nnL = len(epss)-1\\nfor iep, eps in enumerate(epss[:-1]):\\n cl11 = cl1* (nL-iep)/nL + cl2* (iep)/nL\\n cl22 = cl1* (nL-iep-1)/nL + cl2* (iep+1)/nL\\n \\n int_points = 20\\n ps = np.linspace(eps, epss[iep+1], 10)\\n nP = len(ps)-1\\n plt.scatter(eps, 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\\n plt.scatter(epss[iep+1], 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\\n \\n for ip , p in enumerate(ps[:-1]):\\n \\n cc = cl11* (nP-ip)/nP + cl22* (ip)/nP\\n \\n plt.fill_between([p, ps[ip+1]], [0, 0], [1, 1], color=cc)\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n \\nax.set_yticks([])\\nax.set_xticks([0, 1, 2])\\nax.set_xlabel('')\\n\\nax.set_xlim([-0.1,2.1])\\nax.set_ylim([-0.05,1.4])\\nax.plot([0,2], [1,1], c='k')\\nax.plot([0,0], [0,1], c='k')\\nax.plot([2,2], [0,1], c='k')\\nax.plot([0,2], [0.0,0.0], c='k', zorder=2)\\n\\nplt.tight_layout()\\nplt.savefig('Th_FigS2_A2.pdf')\\nplt.show()\"\n },\n {\n \"alpha_fraction\": 0.5054020881652832,\n \"alphanum_fraction\": 0.5895423293113708,\n \"avg_line_length\": 30.041139602661133,\n \"blob_id\": \"0d272f4688b9fe184a011f2245cd5a47376d734f\",\n \"content_id\": \"87489c10de917a42028dbe0d6d4858c2dc952b7a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 19622,\n \"license_type\": \"no_license\",\n \"max_line_length\": 115,\n \"num_lines\": 632,\n \"path\": \"/C_Fig9.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 200\\nnbins = 20\\ns_mn1 = 0.5\\ns_mn2 = 1.2\\nm1 = np.random.randn(N)\\nm1 = m1/np.std(m1)\\nm2 = np.random.randn(N)\\nm2 = m2/np.std(m2)\\nms = np.linspace(-3, 3)\\n\\nn1 = s_mn1*m1+0.3*np.random.randn(N)\\nn2 = s_mn2*m2+0.3*np.random.randn(N)\\n\\n\\n#%%\\n# =============================================================================\\n# Fig 2\\n# =============================================================================\\nms = np.linspace(-5,5,100)\\nSigma = np.zeros((3,3))\\nSigma[0,0] = 1.2\\nSigma[1,1] = 1.2\\nSigma[2,2] = 1.6\\nSigma[0,1] = -2.\\nSigma[1,0] = 1.\\nSigma[0,2] = 1.5\\n\\nvalN = 9\\n\\nBigSigma = np.zeros((6,6))\\nBigSigma[0,0] = 1. #Sigma[0,0]\\nBigSigma[1,1] = 1.#Sigma[1,1]\\nBigSigma[2,2] = 1. #Sigma[2,2]\\nBigSigma[3,3] = valN\\nBigSigma[4,4] = valN\\nBigSigma[5,5] = valN\\n\\nSigma2 = Sigma.T\\n\\n\\nBigSigma[0,3] = Sigma2[0,0] #m1 - n1\\nBigSigma[3,0] = Sigma2[0,0]\\nBigSigma[0,4] = Sigma2[0,1] #m1 - n2\\nBigSigma[4,0] = Sigma2[0,1]\\nBigSigma[1,3] = Sigma2[1,0] #m2 - n1\\nBigSigma[3,1] = Sigma2[1,0]\\nBigSigma[1,4] = Sigma2[1,1] #m2 - n2\\nBigSigma[4,1] = Sigma2[1,1]\\nBigSigma[2,5] = Sigma2[2,2] #m3 - n3\\nBigSigma[5,2] = Sigma2[2,2]\\nBigSigma[2,3] = Sigma2[2,0] #m3 - n1\\nBigSigma[3,2] = Sigma2[2,0]\\nBigSigma[0,5] = Sigma2[0,2] #m1 - n3\\nBigSigma[5,0] = Sigma2[0,2]\\nBigSigma[1,5] = Sigma2[1,2] #m2 - n3\\nBigSigma[5,1] = Sigma2[1,2]\\nBigSigma[2,4] = Sigma2[2,1] #m3 - n2\\nBigSigma[4,2] = Sigma2[2,1]\\n\\n\\nmean = np.zeros(6)\\n\\nDat = np.random.multivariate_normal(mean, BigSigma, size=1000)\\nM = Dat[:,0:3]\\nN = Dat[:,3:].T\\n\\n\\nS=10\\n\\nfig = plt.figure(figsize=[4.2, 4.2], dpi=450)\\n\\ngs = GridSpec(7,7)\\n\\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\\nax_joint02 = fig.add_subplot(gs[1:3,4:6])\\n\\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\\nax_joint12 = fig.add_subplot(gs[3:5,4:6])\\n\\nax_joint20 = fig.add_subplot(gs[5:7,0:2])\\nax_joint21 = fig.add_subplot(gs[5:7,2:4])\\nax_joint22 = fig.add_subplot(gs[5:7,4:6])\\n\\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\\nax_marg_x2 = fig.add_subplot(gs[0,4:6])\\n\\nax_marg_y0 = fig.add_subplot(gs[1:3,6])\\nax_marg_y1 = fig.add_subplot(gs[3:5,6])\\nax_marg_y2 = fig.add_subplot(gs[5:7,6])\\n\\nmyl = -12\\nmyl2 = 12\\n\\nax_joint00.scatter(M[:,0], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint00.plot(ms, Sigma[0,0]*ms, '--', c='k', lw=1)\\nax_joint00.set_xlim([-3,3])\\nax_joint00.set_xticks([-2., 0, 2.])\\nax_joint00.set_xticklabels(['','',''])\\nax_joint00.set_ylim([myl,myl2])\\nax_joint00.set_yticks([-10, 0, 10])\\nax_joint00.set_ylabel(r'$n^{\\\\left(1\\\\right)}_i$')\\nax_joint00.spines['top'].set_visible(False)\\nax_joint00.spines['right'].set_visible(False)\\nax_joint00.yaxis.set_ticks_position('left')\\nax_joint00.xaxis.set_ticks_position('bottom')\\n \\nax_joint01.scatter(M[:,1], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint01.plot(ms, Sigma[0,1]*ms, '--', c='k', lw=1)\\nax_joint01.spines['top'].set_visible(False)\\nax_joint01.spines['right'].set_visible(False)\\nax_joint01.yaxis.set_ticks_position('left')\\nax_joint01.xaxis.set_ticks_position('bottom')\\nax_joint01.set_ylim([myl,myl2])\\nax_joint01.set_yticks([-10, 0, 10])\\nax_joint01.set_yticklabels(['','',''])\\nax_joint01.set_xlim([-3,3])\\nax_joint01.set_xticks([-2., 0, 2.])\\nax_joint01.set_xticklabels(['','',''])\\n\\nax_joint02.scatter(M[:,2], N[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint02.plot(ms, Sigma[0,2]*ms, '--', c='k', lw=1)\\nax_joint02.spines['top'].set_visible(False)\\nax_joint02.spines['right'].set_visible(False)\\nax_joint02.yaxis.set_ticks_position('left')\\nax_joint02.xaxis.set_ticks_position('bottom')\\nax_joint02.set_ylim([myl,myl2])\\nax_joint02.set_yticks([-10, 0, 10])\\nax_joint02.set_yticklabels(['','',''])\\nax_joint02.set_xlim([-3,3])\\nax_joint02.set_xticks([-2., 0, 2.])\\n\\nax_joint02.set_xticklabels(['','',''])\\n\\nax_joint10.scatter(M[:,0], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint10.plot(ms, Sigma[1,0]*ms, '--', c='k', lw=1)\\nax_joint10.set_xlim([-3,3])\\nax_joint10.spines['top'].set_visible(False)\\nax_joint10.spines['right'].set_visible(False)\\nax_joint10.yaxis.set_ticks_position('left')\\nax_joint10.xaxis.set_ticks_position('bottom')\\nax_joint10.set_ylim([myl,myl2])\\nax_joint10.set_yticks([-10, 0, 10])\\nax_joint10.set_xlim([-3,3])\\nax_joint10.set_xticks([-2., 0, 2.])\\nax_joint01.set_xticklabels(['','',''])\\nax_joint10.set_ylabel(r'$n^{\\\\left(2\\\\right)}_i$')\\n\\nax_joint11.scatter(M[:,1], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint11.plot(ms, Sigma[1,1]*ms, '--', c='k', lw=1)\\nax_joint11.set_xlim([-3,3])\\nax_joint11.spines['top'].set_visible(False)\\nax_joint11.spines['right'].set_visible(False)\\nax_joint11.set_ylim([myl,myl2])\\nax_joint11.set_yticks([-10, 0, 10])\\nax_joint11.set_xticks([-2., 0, 2.])\\nax_joint11.set_xlim([-3,3])\\nax_joint11.set_yticklabels(['','',''])\\nax_joint01.set_xticklabels(['','',''])\\nax_joint11.yaxis.set_ticks_position('left')\\nax_joint11.xaxis.set_ticks_position('bottom')\\n\\n\\nax_joint12.scatter(M[:,2], N[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint12.plot(ms, Sigma[1,2]*ms, '--', c='k', lw=1)\\nax_joint12.set_xlim([-3,3])\\nax_joint12.spines['top'].set_visible(False)\\nax_joint12.spines['right'].set_visible(False)\\nax_joint12.set_ylim([myl,myl2])\\nax_joint12.set_yticks([-10, 0, 10])\\nax_joint12.set_xticks([-2., 0, 2.])\\nax_joint12.set_xlim([-3,3])\\nax_joint12.set_yticklabels(['','',''])\\nax_joint01.set_xticklabels(['','',''])\\nax_joint12.yaxis.set_ticks_position('left')\\nax_joint12.xaxis.set_ticks_position('bottom')\\n\\nax_joint20.scatter(M[:,0], N[2,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint20.plot(ms, Sigma[2,0]*ms, '--', c='k', lw=1)\\nax_joint20.set_xlim([-3,3])\\nax_joint20.spines['top'].set_visible(False)\\nax_joint20.spines['right'].set_visible(False)\\nax_joint20.yaxis.set_ticks_position('left')\\nax_joint20.xaxis.set_ticks_position('bottom')\\nax_joint20.set_ylim([myl,myl2])\\nax_joint20.set_yticks([-10, 0, 10])\\nax_joint20.set_xlim([-3,3])\\nax_joint20.set_xticks([-2., 0, 2.])\\nax_joint20.set_ylabel(r'$n^{\\\\left(3\\\\right)}_i$')\\nax_joint20.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n\\nax_joint21.scatter(M[:,1], N[2,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint21.plot(ms, Sigma[2,1]*ms, '--', c='k', lw=1)\\nax_joint21.set_xlim([-3,3])\\nax_joint21.spines['top'].set_visible(False)\\nax_joint21.spines['right'].set_visible(False)\\nax_joint21.set_ylim([myl,myl2])\\nax_joint21.set_yticks([-10, 0, 10])\\nax_joint21.set_xticks([-2., 0, 2.])\\nax_joint21.set_xlim([-3,3])\\nax_joint21.set_yticklabels(['','',''])\\nax_joint21.yaxis.set_ticks_position('left')\\nax_joint21.xaxis.set_ticks_position('bottom')\\nax_joint21.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n\\nax_joint22.scatter(M[:,2], N[2,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint22.plot(ms, Sigma[2,2]*ms, '--', c='k', lw=1)\\nax_joint22.set_xlim([-3,3])\\nax_joint22.spines['top'].set_visible(False)\\nax_joint22.spines['right'].set_visible(False)\\nax_joint22.set_ylim([myl,myl2])\\nax_joint22.set_yticks([-10, 0, 10])\\nax_joint22.set_xticks([-2., 0, 2.])\\nax_joint22.set_xlim([-3,3])\\nax_joint22.set_yticklabels(['','',''])\\nax_joint22.yaxis.set_ticks_position('left')\\nax_joint22.xaxis.set_ticks_position('bottom')\\nax_joint22.set_xlabel(r'$m^{\\\\left(3\\\\right)}_i$')\\n\\n\\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\n\\nax_marg_x0.spines['top'].set_visible(False)\\nax_marg_x0.spines['right'].set_visible(False)\\nax_marg_x0.spines['left'].set_visible(False)\\nax_marg_x0.yaxis.set_ticks_position('left')\\nax_marg_x0.xaxis.set_ticks_position('bottom')\\nax_marg_x0.set_xlim([-3,3])\\nax_marg_x0.set_xticks([-2., 0, 2.])\\nax_marg_x0.set_ylim([0,0.45])\\nax_marg_x0.set_xticklabels(['','',''])\\nax_marg_x0.set_yticks([1])\\n\\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\nax_marg_x1.spines['top'].set_visible(False)\\nax_marg_x1.spines['right'].set_visible(False)\\nax_marg_x1.spines['left'].set_visible(False)\\nax_marg_x1.yaxis.set_ticks_position('left')\\nax_marg_x1.xaxis.set_ticks_position('bottom')\\nax_marg_x1.set_xlim([-3,3])\\nax_marg_x1.set_ylim([0,0.45])\\nax_marg_x1.set_xticks([-2., 0, 2.])\\nax_marg_x1.set_xticklabels(['','',''])\\nax_marg_x1.set_yticks([1])\\n\\nax_marg_x2.hist(M[:,2], nbins, alpha=0.5, density=True)\\nss = 1.\\nax_marg_x2.plot(ms, (1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), 'k')\\nax_marg_x2.spines['top'].set_visible(False)\\nax_marg_x2.spines['right'].set_visible(False)\\nax_marg_x2.spines['left'].set_visible(False)\\nax_marg_x2.yaxis.set_ticks_position('left')\\nax_marg_x2.xaxis.set_ticks_position('bottom')\\nax_marg_x2.set_xlim([-3,3])\\nax_marg_x2.set_ylim([0,0.45])\\nax_marg_x2.set_xticks([-2., 0, 2.])\\nax_marg_x2.set_xticklabels(['','',''])\\nax_marg_x2.set_yticks([1])\\nss2 = 0\\nms = np.linspace(-10,10,100)\\nax_marg_y0.hist(N[0,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(valN)\\nax_marg_y0.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y0.spines['top'].set_visible(False)\\nax_marg_y0.spines['right'].set_visible(False)\\nax_marg_y0.spines['bottom'].set_visible(False)\\nax_marg_y0.yaxis.set_ticks_position('left')\\nax_marg_y0.xaxis.set_ticks_position('bottom')\\nax_marg_y0.set_ylim([myl,myl2])\\nax_marg_y0.set_xlim([0,0.45])\\nax_marg_y0.set_yticks([-10, 0, 10])\\nax_marg_y0.set_yticklabels(['','',''])\\nax_marg_y0.set_xticks([1])\\nax_marg_y0.set_xticklabels([''])\\n\\nax_marg_y1.hist(N[1,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(valN)\\nax_marg_y1.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y1.spines['top'].set_visible(False)\\nax_marg_y1.spines['right'].set_visible(False)\\nax_marg_y1.spines['bottom'].set_visible(False)\\nax_marg_y1.yaxis.set_ticks_position('left')\\nax_marg_y1.xaxis.set_ticks_position('bottom')\\nax_marg_y1.set_ylim([myl,myl2])\\nax_marg_y1.set_xlim([0,0.45])\\nax_marg_y1.set_yticks([-10, 0, 10])\\nax_marg_y1.set_yticklabels(['','',''])\\nax_marg_y1.set_xticks([1])\\nax_marg_y1.set_xticklabels([''])\\n\\nax_marg_y2.hist(N[1,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss = np.sqrt(valN)\\nax_marg_y2.plot((1/np.sqrt(2*np.pi*ss**2))*np.exp(-(ms)**2/(2*ss**2)), ms, 'k')\\nax_marg_y2.spines['top'].set_visible(False)\\nax_marg_y2.spines['right'].set_visible(False)\\nax_marg_y2.spines['bottom'].set_visible(False)\\nax_marg_y2.yaxis.set_ticks_position('left')\\nax_marg_y2.xaxis.set_ticks_position('bottom')\\nax_marg_y2.set_ylim([myl,myl2])\\nax_marg_y2.set_xlim([0,0.45])\\nax_marg_y2.set_yticks([-10, 0, 10])\\nax_marg_y2.set_yticklabels(['','',''])\\nax_marg_y2.set_xticks([1])\\nax_marg_y2.set_xticklabels([''])\\n\\nplt.savefig('Th_Fig2_4__A.pdf')\\n\\n#%%\\nplt.rcParams[\\\"axes.grid\\\"] = False\\nfig = plt.figure(figsize = [3.0, 3.0])\\nax = fig.add_subplot(111) \\nplt.imshow(Sigma, cmap='coolwarm', vmin = -4, vmax = 4)\\nSigma22 = np.zeros_like(Sigma)\\nSigma22[np.abs(Sigma)>0]=np.nan\\nplt.imshow(Sigma22, cmap='OrRd', vmin = 0, vmax = 4)\\n\\n\\nax.tick_params(color='white')\\n\\n\\nfor i in range(np.shape(Sigma)[0]):\\n for j in range(np.shape(Sigma)[1]):\\n ax.text(i, j, str(Sigma[j,i]), va='center', ha='center', fontsize=16)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([0, 1,2])\\nax.set_yticks([0, 1,2])\\n\\n\\nax.set_xticklabels([r'$m_i^{\\\\left(1\\\\right)}$', r'$m_i^{\\\\left(2\\\\right)}$', r'$m_i^{\\\\left(3\\\\right)}$' ], fontsize=14)\\nax.set_yticklabels([r'$n_i^{\\\\left(1\\\\right)}$', r'$n_i^{\\\\left(2\\\\right)}$', r'$n_i^{\\\\left(3\\\\right)}$' ], fontsize=14)\\n\\nplt.savefig('Th_Fig2_4__B.pdf')\\n\\n#%%\\nfig = plt.figure()\\nfrom mpl_toolkits.mplot3d import Axes3D\\nax = fig.add_subplot(111, projection='3d',azim=-42, elev=21)\\n\\n\\nu, vv = np.linalg.eig(Sigma)\\nvv = np.dot(vv, np.diag(u))\\nl1 = -0.5\\nl2 = 2.\\ncC = np.array((1, 1, 1,))*0.3\\n\\nfrom matplotlib.patches import FancyArrowPatch\\nfrom mpl_toolkits.mplot3d import proj3d\\n\\nclass Arrow3D(FancyArrowPatch):\\n def __init__(self, xs, ys, zs, *args, **kwargs):\\n FancyArrowPatch.__init__(self, (0,0), (0,0), *args, **kwargs)\\n self._verts3d = xs, ys, zs\\n\\n def draw(self, renderer):\\n xs3d, ys3d, zs3d = self._verts3d\\n xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, renderer.M)\\n self.set_positions((xs[0],ys[0]),(xs[1],ys[1]))\\n FancyArrowPatch.draw(self, renderer)\\n\\n# mean values\\nmean_x = 0\\nmean_y = 0\\nmean_z = 0\\n\\ncounter = 0\\nfor v in vv[:,1:3].T:\\n #ax.plot([mean_x,v[0]], [mean_y,v[1]], [mean_z,v[2]], color='red', alpha=0.8, lw=3)\\n #I will replace this line with:\\n v1 = np.real(v)\\n v1 = v1/np.sqrt(np.sum(v1**2))\\n if np.imag(u[counter])==0:\\n v1 = v1*np.real(u[counter])\\n \\n a = Arrow3D([mean_x, v1[0]], [mean_y, v1[1]], \\n [mean_z, v1[2]], mutation_scale=10, \\n lw=2, arrowstyle=\\\"-|>\\\", color=cC)\\n ax.add_artist(a)\\n #ax.plot([0,v1[0]], [0,v1[1]], [0, v1[2]], 'C0')\\n #ax.scatter(v1[0], v1[1], v1[2],s=100)\\n if np.min(np.abs(v1))>0.:\\n ax.plot([0,v1[0]], [0,v1[1]], [0, 0], 'k--', lw=0.5)\\n ax.plot([v1[0],v1[0]], [v1[1],v1[1]], [0, v1[2]], 'k--', lw=0.5)\\n print(v1)\\n \\n #ax.plot([v1[0], v1[1], 0], [v1[0], v1[1], v1[2]], '--k')\\n \\n v2 = np.imag(v)\\n if np.sqrt(np.sum(v2**2))>0:\\n print('hey')\\n v2 = v2/np.sqrt(np.sum(v2**2))\\n #v2 = v2*np.real(u[counter])\\n print(v2)\\n b = Arrow3D([mean_x, v2[0]], [mean_y, v2[1]], \\n [mean_z, (v2[2])], mutation_scale=10, \\n lw=2, arrowstyle=\\\"-|>\\\", color=cC)\\n ax.add_artist(b)\\n #ax.scatter(v2[0], v2[1], v2[2],s=100)\\n if np.min(np.abs(v2))>0.:\\n ax.plot([0,v2[0]], [0,v2[1]], [0, 0], 'k--')\\n ax.plot([v2[0],v2[0]], [v2[1],v2[1]], [0, v2[2]], 'k--')\\n #ax.plot([0,0,0], [v2[0], v2[1], v2[2]], 'C1')\\n #print(v2)\\n v1s = v1\\n v2s = v2\\n counter+=1\\n \\nxx, yy = np.meshgrid(np.linspace(-1.5, 1.5), np.linspace(-1.5, 1.5))\\n\\ncvs = np.cross(v1s, v2s)\\n\\nzz = 0*(1/cvs[2])*(-cvs[0]*xx-cvs[1]*yy)\\n\\nax.plot_surface(xx, yy, zz, alpha=0.2)\\nax.set_xlabel('x_values')\\nax.set_ylabel('y_values')\\nax.set_zlabel('z_values')\\n#ax.set_xlim([-0.5,0.5])\\n#ax.set_ylim([-0.5,0.5])\\n#ax.set_zlim([-0.5,1.])\\nax.text(1.25, -0.6, 0., r'$ Re(\\\\bf{u}_2)$', fontsize = 12)\\nax.text(-3., 0.2, 0.0, r'$Im(\\\\bf{u}_2)$', fontsize = 12)\\n\\nax.text(-1.9, 0.3, 0.5, r'$\\\\lambda_1 \\\\bf{u}_1$', fontsize = 12)\\n\\n\\n\\nax.axis('off')\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nplt.draw()\\n\\nplt.savefig('Th_Fig2_4__B1.pdf')\\nplt.show()\\n\\n#%%\\n#\\nfig = plt.figure()\\nax = fig.add_subplot(111, projection='3d',azim=-72, elev=7) \\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nax.set_zlabel('$\\\\kappa_3$')\\n\\n\\n\\n\\nNn = 1000\\n\\n\\nMu= np.zeros((6,1))\\n\\ninkap1 = np.linspace(-0.8, 0.8, 2)\\ninkap2 = np.linspace(-0.8, 0.800, 2)\\ninkap3 = np.linspace(-0.8, 0.800, 2)\\n\\n\\ndt = 0.2\\ntime = np.arange(0, 80, dt)\\n\\nins = np.array(([1,0,0],[1., 0, 0.2],[1., 0, -0.2]))\\n\\ncolors = np.zeros((3,3))\\n\\ncolors[1,:] = 0.6*(0.4+0.1*np.random.rand(3)-0.1)+0.4*np.array((1,0,0))\\ncolors[0,:] = 0.4#0.8*(0.6+0.2*np.random.rand(3)-0.1)+np.array((1,0,0))\\ncolors[2,:] = 0.6*(0.4+0.1*np.random.rand(3)-0.1)+0.4*np.array((0,0,1))\\n\\nfor trials in range(1):\\n cC = 0.6+0.2*np.random.rand()-0.1\\n \\n cC2 = 0.1+0.2*np.random.rand()-0.1\\n \\n for rr in range(np.shape(ins)[0]):\\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n sk3 = np.zeros_like(time)\\n \\n \\n sk1[0] = ins[rr,0]\\n sk2[0] = ins[rr,1]\\n sk3[0] = ins[rr,2]\\n \\n x0 = np.array((sk1[0], sk2[0], sk3[0]))\\n print(sk3[0])\\n for it, ti in enumerate(time[:-1]):\\n \\n x = x0 + dt*(-x0 + Prime(0, np.sum(x0**2))*np.dot(Sigma, x0))\\n sk1[it+1] = x[0]\\n sk2[it+1] = x[1]\\n sk3[it+1] = x[2]\\n \\n x0 = x\\n \\n ax.plot(sk1, sk2, sk3, c=colors[rr,:])\\n ax.scatter(sk1[0], sk2[0], sk3[0], s=10, facecolor=colors[rr,:], edgecolor=colors[rr,:], )\\n if np.abs(sk3[-1])>0.1:\\n ax.scatter(sk1[-1], sk2[-1], sk3[-1], s=50, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\\n save = np.array((sk1[-1], sk2[-1], sk3[-1]))\\n\\nax.scatter(save[0], save[1], save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\\nax.scatter(-save[0], -save[1], -save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\\n \\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-0.5, 0.5])\\nax.set_zticks([-0.5, 0, 0.5])\\n\\nax.dist=11\\nplt.savefig('Th_Fig2_4__C.pdf') \\n\\n#%%\\n#\\nfig = plt.figure()\\nax = fig.add_subplot(111, projection='3d',azim=-72, elev=7) \\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nax.set_zlabel('$\\\\kappa_3$')\\n\\nNn = 1000\\n\\n\\nMu= np.zeros((6,1))\\n\\ninkap1 = np.linspace(-0.8, 0.8, 2)\\ninkap2 = np.linspace(-0.8, 0.800, 2)\\ninkap3 = np.linspace(-0.8, 0.800, 2)\\n\\n\\ndt = 0.2\\ntime = np.arange(0, 80, dt)\\n\\nfor trials in range(2):\\n try_s0 = 100\\n for tr in range(2000):\\n XX = np.random.multivariate_normal(Mu[:,0], BigSigma, size=Nn)\\n try_s = np.sum((np.dot(XX.T,XX)/1000-BigSigma)**2)\\n if try_s < try_s0:\\n #print(try_s)\\n try_s0 = try_s\\n XX_s = XX\\n M = XX_s[:,0:3]\\n N = XX_s[:,3:6]\\n \\n J = np.dot(M, N.T)/Nn\\n \\n cC = 0.6+0.2*np.random.rand()-0.1\\n \\n cC2 = 0.1+0.2*np.random.rand()-0.1\\n \\n for rr in range(np.shape(ins)[0]):\\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n sk3 = np.zeros_like(time)\\n \\n \\n sk1[0] = ins[rr,0]\\n sk2[0] = ins[rr,1]\\n sk3[0] = ins[rr,2]\\n \\n \\n \\n x0 = ins[rr,0]*M[:,0] + ins[rr,1]*M[:,1]+ins[rr,2]*M[:,2]\\n sk1[0] = np.mean(M[:,0]*x0)\\n sk2[0] = np.mean(M[:,1]*x0)\\n sk3[0] = np.mean(M[:,2]*x0)\\n \\n for it, ti in enumerate(time[:-1]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\\n sk1[it+1] = np.mean(M[:,0]*x)\\n sk2[it+1] = np.mean(M[:,1]*x)\\n sk3[it+1] = np.mean(M[:,2]*x)\\n \\n x0 = x\\n ax.plot(sk1, sk2, sk3, c=colors[rr,:])\\n ax.scatter(sk1[0], sk2[0], sk3[0], s=10, facecolor=colors[rr,:])\\n ax.scatter(sk1[-1], sk2[-1], sk3[-1], s=50, facecolor=colors[rr,:])\\n \\n \\nax.scatter(save[0], save[1], save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\\nax.scatter(-save[0], -save[1], -save[2], s=70, facecolor=[0.6, 0.6, 0.6], edgecolor='k')\\n \\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-0.5, 0.5])\\nax.set_zticks([-0.5, 0, 0.5])\\n\\n\\nax.dist=11\\nplt.savefig('Th_Fig2_4__D.pdf') \\n# \\n\"\n },\n {\n \"alpha_fraction\": 0.5573328137397766,\n \"alphanum_fraction\": 0.6126583814620972,\n \"avg_line_length\": 31.008031845092773,\n \"blob_id\": \"5dbfcfcee158be559db423e4dfc413ab7dad8fb3\",\n \"content_id\": \"96cbaa6ce7a3f10b0a73b43efc476a6acf633792\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 15942,\n \"license_type\": \"no_license\",\n \"max_line_length\": 131,\n \"num_lines\": 498,\n \"path\": \"/C_Fig1B.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n\\n#%%\\n# =============================================================================\\n# Fig 2\\n# =============================================================================\\nms = np.linspace(-8,8,300)\\n\\nMuMs = np.zeros((2,2))\\nMuNs = np.zeros((2,2))\\n\\nSigma = np.zeros((2,2,2))+1e-10\\nSigma[0,0,0] = 1.2\\nSigma[1,1,0] = -1#1.6\\nSigma[1,0,0] = 0.5\\nSigma[0,1,0] = -0.5\\n\\n\\nMuMs[0,0] = 0.5#1.\\nMuMs[1,0] = -0.5#1.\\nMuNs[0,0] = 1.5\\nMuNs[1,0] = 3.\\n\\n\\nSigma[0,0,1] = -0.3\\nSigma[1,1,1] = 1.\\nSigma[0,1,1] = 1.2\\nSigma[1,1,1] = 0.8\\n\\nMuMs[0,1] = -0.5#0.5\\nMuMs[1,1] = 0.5#-0.8\\nMuNs[0,1] = -1.5#1.\\nMuNs[1,1] = -3#-1.\\n#\\nfig = plt.figure(figsize=[3.2, 3.2], dpi=450)\\ngs = GridSpec(5,5)\\n\\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\\n\\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\\n\\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\\n\\npops = 2\\nNs = 100\\nM = np.random.randn(Ns*pops,2)\\nN = np.random.randn(2,Ns*pops)\\npops=2\\nBigSigma = np.zeros((4,4, pops))\\nfor ip in range(pops):\\n \\n S=10\\n \\n M = M/np.std(M,0)\\n ss2 = 0.3\\n \\n BigSigma[0,0,ip] = 1.-np.mean(MuMs[0, :]**2)\\n BigSigma[1,1,ip] = 1.-np.mean(MuMs[1, :]**2)\\n \\n BigSigma[0,2,ip] = Sigma[0,0,ip]\\n BigSigma[0,3,ip] = Sigma[0,1,ip]\\n BigSigma[2,0,ip] = Sigma[0,0,ip]\\n BigSigma[3,0,ip] = Sigma[0,1,ip]\\n \\n BigSigma[1,2,ip] = Sigma[1,0, ip]\\n BigSigma[1,3,ip] = Sigma[1,1, ip]\\n BigSigma[2,1,ip] = Sigma[1,0, ip]\\n BigSigma[3,1,ip] = Sigma[1,1, ip]\\n \\n BigSigma[2,2,ip] = 1.\\n BigSigma[3,3,ip] = 1.\\n \\n sol = np.min(np.real(np.linalg.eigvalsh(BigSigma[:,:,ip])))\\n \\n \\n while sol<0:\\n BigSigma[2,2] *= 1.01\\n BigSigma[3,3] *= 1.01\\n sol = np.min(np.real(np.linalg.eigvals(BigSigma[:,:,ip])))\\n BigMean = 0*np.hstack((MuMs[:,ip], MuNs[:,ip]))\\n \\n err0 = 100.\\n Dat = np.random.multivariate_normal(BigMean, BigSigma[:,:,ip], Ns)\\n DatS = Dat\\n for trials in range(200):\\n Dat = np.random.multivariate_normal(BigMean, BigSigma[:,:,ip], Ns)\\n err1 = np.std(np.cov(Dat.T)-BigSigma[:,:,ip])\\n if err1<err0:\\n print(err1)\\n err0 = err1\\n DatS = Dat\\n \\n Dat = DatS\\n BigMean = np.hstack((MuMs[:,ip], MuNs[:,ip]))\\n for i in range(4):\\n Dat[:,i] = Dat[:,i]+BigMean[i]-np.mean(Dat[:,i])\\n \\n \\n M[ip*Ns:(ip+1)*Ns,0] = Dat[:,0]\\n M[ip*Ns:(ip+1)*Ns,1] = Dat[:,1]\\n \\n N[0,ip*Ns:(ip+1)*Ns] = Dat[:,2]\\n N[1,ip*Ns:(ip+1)*Ns] = Dat[:,3]\\n\\n\\nssiz = 30\\n\\ncolor1 = np.array((31, 127, 17))/256\\ncolor2 = np.array((129, 34, 141))/256\\nclrs = np.zeros((3,2))\\nclrs[:,0] = color1\\nclrs[:,1] = color2\\npops=2\\n\\nnbins=20\\nfor ip in range(pops):\\n ax_joint00.scatter(M[ip*Ns:(ip+1)*Ns,0], N[0,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip], alpha=0.5, rasterized=True)\\n ax_joint00.plot(ms, np.sqrt(BigSigma[2,2,ip]/BigSigma[0,0,ip])*Sigma[0,0,ip]*(ms- MuMs[0,ip]) +MuNs[0,ip], '--', c='k', lw=0.5)\\n ax_joint00.scatter( MuMs[0,ip], +MuNs[0,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\\n \\n ax_joint00.set_xlim([-4.5,4.5])\\n ax_joint00.set_xticks([-4., 0, 4.])\\n ax_joint00.set_xticklabels(['','',''])\\n ax_joint00.set_ylim([-6.5,6.5])\\n ax_joint00.set_yticks([-6, 0, 6])\\n ax_joint00.set_ylabel(r'$n^{\\\\left(1\\\\right)}_i$')\\n ax_joint00.spines['top'].set_visible(False)\\n ax_joint00.spines['right'].set_visible(False)\\n ax_joint00.yaxis.set_ticks_position('left')\\n ax_joint00.xaxis.set_ticks_position('bottom')\\n \\n ax_joint01.scatter(M[ip*Ns:(ip+1)*Ns,1], N[0,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip],alpha=0.5, rasterized=True)\\n ax_joint01.plot(ms, np.sqrt(BigSigma[2,2,ip]/BigSigma[1,1,ip])*Sigma[1,0,ip]*(ms- MuMs[1,ip]) +MuNs[0,ip], '--', c='k', lw=0.5)\\n ax_joint01.scatter( MuMs[1,ip], +MuNs[0,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\\n ax_joint01.spines['top'].set_visible(False)\\n ax_joint01.spines['right'].set_visible(False)\\n ax_joint01.yaxis.set_ticks_position('left')\\n ax_joint01.xaxis.set_ticks_position('bottom')\\n ax_joint01.set_ylim([-6.5,6.5])\\n ax_joint01.set_yticks([-6, 0, 6])\\n ax_joint01.set_yticklabels(['','',''])\\n ax_joint01.set_xlim([-4.5,4.5])\\n ax_joint01.set_xticks([-4., 0, 4.])\\n ax_joint01.set_xticklabels(['','',''])\\n \\n ax_joint10.scatter(M[ip*Ns:(ip+1)*Ns,0], N[1,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip],alpha=0.5, rasterized=True)\\n ax_joint10.plot(ms, np.sqrt(BigSigma[3,3,ip]/BigSigma[0,0,ip])*Sigma[0,1,ip]*(ms- MuMs[0,ip]) +MuNs[1,ip], '--', c='k', lw=0.5)\\n ax_joint10.scatter( MuMs[0,ip], +MuNs[1,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\\n ax_joint10.spines['top'].set_visible(False)\\n ax_joint10.spines['right'].set_visible(False)\\n ax_joint10.yaxis.set_ticks_position('left')\\n ax_joint10.xaxis.set_ticks_position('bottom')\\n ax_joint10.set_ylim([-6.5,6.5])\\n ax_joint10.set_yticks([-6, 0, 6])\\n ax_joint10.set_xlim([-4.5,4.5])\\n ax_joint10.set_xticks([-4., 0, 4.])\\n\\n ax_joint10.set_ylabel(r'$n^{\\\\left(2\\\\right)}_i$')\\n ax_joint10.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n \\n ax_joint11.scatter(M[ip*Ns:(ip+1)*Ns,1], N[1,ip*Ns:(ip+1)*Ns], s=S, color = clrs[:,ip],alpha=0.5, rasterized=True)\\n ax_joint11.plot(ms, np.sqrt(BigSigma[3,3,ip]/BigSigma[1,1,ip])*Sigma[1,1,ip]*(ms- MuMs[1,ip]) +MuNs[1,ip], '--', c='k', lw=0.5)\\n ax_joint11.scatter( MuMs[1,ip], +MuNs[1,ip], s=ssiz, edgecolor='k', facecolor= 'w',zorder=5)\\n ax_joint11.spines['top'].set_visible(False)\\n ax_joint11.spines['right'].set_visible(False)\\n ax_joint11.set_ylim([-6.5,6.5])\\n ax_joint11.set_yticks([-6, 0, 6])\\n ax_joint11.set_xlim([-4.5,4.5])\\n ax_joint11.set_xticks([-4., 0, 4.])\\n \\n ax_joint11.set_yticklabels(['','',''])\\n ax_joint11.yaxis.set_ticks_position('left')\\n ax_joint11.xaxis.set_ticks_position('bottom')\\n ax_joint11.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n \\n ax_marg_x0.hist(M[ip*Ns:(ip+1)*Ns,0], nbins, color = clrs[:,ip], alpha=0.5, density=True)\\n ss = BigSigma[0,0,ip]\\n ax_marg_x0.plot(ms, (1/np.sqrt(2*np.pi*ss))*np.exp(-(ms- MuMs[0,ip])**2/(2*ss)), color = clrs[:,ip],lw=0.5)\\n \\n ax_marg_x0.spines['top'].set_visible(False)\\n ax_marg_x0.spines['right'].set_visible(False)\\n ax_marg_x0.spines['left'].set_visible(False)\\n ax_marg_x0.yaxis.set_ticks_position('left')\\n ax_marg_x0.xaxis.set_ticks_position('bottom')\\n ax_marg_x0.set_xlim([-4.5,4.5])\\n ax_marg_x0.set_ylim([0,0.6])\\n ax_marg_x0.set_xticks([-4., 0, 4.])\\n ax_marg_x0.set_xticklabels(['','',''])\\n ax_marg_x0.set_yticks([1])\\n\\n\\n ax_marg_x1.hist(M[ip*Ns:(ip+1)*Ns,1], nbins,color = clrs[:,ip], alpha=0.5, density=True)\\n ss = BigSigma[1,1,ip]\\n ax_marg_x1.plot(ms, (1/np.sqrt(2*np.pi*ss))*np.exp(-(ms- MuMs[1,ip])**2/(2*ss)), color = clrs[:,ip],lw=0.5)\\n ax_marg_x1.spines['top'].set_visible(False)\\n ax_marg_x1.spines['right'].set_visible(False)\\n ax_marg_x1.spines['left'].set_visible(False)\\n ax_marg_x1.yaxis.set_ticks_position('left')\\n ax_marg_x1.xaxis.set_ticks_position('bottom')\\n ax_marg_x1.set_xlim([-4.5,4.5])\\n ax_marg_x1.set_ylim([0,0.6])\\n ax_marg_x1.set_xticks([-4., 0, 4.])\\n ax_marg_x1.set_xticklabels(['','',''])\\n ax_marg_x1.set_yticks([1])\\n\\n\\n ax_marg_y0.hist(N[0,ip*Ns:(ip+1)*Ns], nbins, orientation=\\\"horizontal\\\", color = clrs[:,ip], alpha=0.5, density=True)\\n ss = BigSigma[2,2,ip]\\n ax_marg_y0.plot((1/np.sqrt(2*np.pi*ss))*np.exp(-(ms-MuNs[0,ip])**2/(2*ss)), ms, color = clrs[:,ip],lw=0.5)\\n ax_marg_y0.spines['top'].set_visible(False)\\n ax_marg_y0.spines['right'].set_visible(False)\\n ax_marg_y0.spines['bottom'].set_visible(False)\\n ax_marg_y0.yaxis.set_ticks_position('left')\\n ax_marg_y0.xaxis.set_ticks_position('bottom')\\n ax_marg_y0.set_ylim([-6.5,6.5])\\n ax_marg_y0.set_xlim([0,0.45])\\n ax_marg_y0.set_yticks([-6., 0, 6.])\\n ax_marg_y0.set_yticklabels(['','',''])\\n ax_marg_y0.set_xticks([1])\\n ax_marg_y0.set_xticklabels([''])\\n\\n ax_marg_y1.hist(N[1,ip*Ns:(ip+1)*Ns], nbins, orientation=\\\"horizontal\\\", color = clrs[:,ip], alpha=0.5, density=True)\\n ss = BigSigma[3,3,ip]\\n ax_marg_y1.plot((1/np.sqrt(2*np.pi*ss))*np.exp(-(ms-MuNs[1,ip])**2/(2*ss)), ms, color = clrs[:,ip],lw=0.5)\\n ax_marg_y1.spines['top'].set_visible(False)\\n ax_marg_y1.spines['right'].set_visible(False)\\n ax_marg_y1.spines['bottom'].set_visible(False)\\n ax_marg_y1.yaxis.set_ticks_position('left')\\n ax_marg_y1.xaxis.set_ticks_position('bottom')\\n ax_marg_y1.set_ylim([-6.5,6.5])\\n ax_marg_y1.set_xlim([0,0.45])\\n ax_marg_y1.set_yticks([-6., 0, 6.])\\n ax_marg_y1.set_yticklabels(['','',''])\\n ax_marg_y1.set_xticks([1])\\n ax_marg_y1.set_xticklabels([''])\\n\\nplt.savefig('Th_Fig0_A.pdf')\\n\\n#%%\\nNneurs = 6\\n\\nMadap = M[0:Nneurs*2,:]\\nMadap[Nneurs:,:] = M[-Nneurs:,:]\\n\\nNadap = N[:,0:Nneurs*2]\\nNadap[:,Nneurs:] = N[:, -Nneurs:]\\nJ = np.dot(Madap, Nadap)/(Ns*pops)\\nplt.rcParams[\\\"axes.grid\\\"] = False\\nfig = plt.figure(figsize = [2.0, 2.0])\\nax = fig.add_subplot(111) \\n\\nplt.imshow(J, cmap='coolwarm', vmin = -0.12, vmax = 0.12)\\nJ22 = np.zeros_like(J)\\nJ22[np.abs(J)>0]=np.nan\\nplt.imshow(J22, cmap='OrRd', vmin = 0, vmax = 0.12)\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\n\\nplt.savefig('Th_Fig0_B_1.pdf')\\n#%%\\nfor ip in range(pops):\\n fig = plt.figure(figsize = [0.2, 2.0])\\n ax = fig.add_subplot(111) \\n Madap1 = np.copy(Madap[:,ip,None])\\n Madap2 = np.copy(Madap[:,ip,None])\\n Madap1[Nneurs:,:] = np.nan\\n Madap2[0:Nneurs,:] = np.nan\\n Nadap1 = np.copy(Nadap[None,ip,:])\\n Nadap2 = np.copy(Nadap[None,ip,:])\\n Nadap1[:,Nneurs:] = np.nan\\n Nadap2[:,0:Nneurs] = np.nan\\n plt.imshow(Madap1, cmap='Greens')\\n plt.imshow(Madap2, cmap='Purples')\\n \\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.spines['left'].set_visible(False)\\n ax.spines['bottom'].set_visible(False)\\n ax.yaxis.set_ticks_position('right')\\n ax.xaxis.set_ticks_position('top') \\n ax.set_xticks([])\\n ax.set_yticks([])\\n plt.savefig('Th_Fig0_B_m'+str(ip+1)+'.pdf')\\n \\n fig = plt.figure(figsize = [2.0, 0.2])\\n ax = fig.add_subplot(111) \\n plt.imshow(Nadap1, cmap='Greens')\\n plt.imshow(Nadap2, cmap='Purples')\\n \\n \\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.spines['left'].set_visible(False)\\n ax.spines['bottom'].set_visible(False)\\n ax.yaxis.set_ticks_position('right')\\n ax.xaxis.set_ticks_position('top') \\n ax.set_xticks([])\\n ax.set_yticks([])\\n plt.savefig('Th_Fig0_B_n'+str(ip+1)+'.pdf')\\n\\n#%%\\n\\n#%%\\n\\nfig = plt.figure(figsize = [ 2.0, 0.2])\\nax = fig.add_subplot(111) \\nMadap1 = np.copy(Madap[:,:])\\nMadap2 = np.copy(Madap[:,:])\\n\\nMadap1[Nneurs:,:] = np.nan\\nMadap2[0:Nneurs,:] = np.nan\\nNadap1 = np.copy(Nadap)\\nNadap2 = np.copy(Nadap)\\nNadap1[:,Nneurs:] = np.nan\\nNadap2[:,0:Nneurs] = np.nan\\nplt.imshow(Madap1.T, cmap='Greens')\\nplt.imshow(Madap2.T, cmap='Purples')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_C_m.pdf')\\n\\nfig = plt.figure(figsize = [0.2, 2.0])\\nax = fig.add_subplot(111) \\nplt.imshow(Nadap1.T, cmap='Greens')\\nplt.imshow(Nadap2.T, cmap='Purples')\\n\\n \\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_C_n.pdf')\\n\\n\\n#%%\\n\\nfig = plt.figure(figsize = [ 2.0, 0.2])\\nax = fig.add_subplot(111) \\nMadap1 = np.copy(Madap[:,:])\\nMadap2 = np.copy(Madap[:,:])\\n\\nMadap1[Nneurs:,:] = np.nan\\nMadap2[0:Nneurs,:] = np.nan\\nNadap1 = np.copy(Nadap)\\nNadap2 = np.copy(Nadap)\\nNadap1[:,Nneurs:] = np.nan\\nNadap2[:,0:Nneurs] = np.nan\\nplt.imshow(Madap1.T, cmap='Greens')\\nplt.imshow(Madap2.T, cmap='Purples')\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_C_m.pdf')\\n#%%\\nfig = plt.figure(figsize = [1., 2.0])\\nax = fig.add_subplot(111) \\nMadap1 = MuMs[:,0,None]\\n\\nplt.imshow(Madap1, cmap='Greens', vmin = -4, vmax=4)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_D_pop1_am.pdf')\\n\\nfig = plt.figure(figsize = [1,2.])\\nax = fig.add_subplot(111) \\nMadap1 = MuMs[:,1,None]\\n\\nplt.imshow(Madap1, cmap='Purples', vmin = -4, vmax=4)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_D_pop2_am.pdf')\\n\\nfig = plt.figure(figsize = [2.0,1.])\\nax = fig.add_subplot(111) \\nMadap1 = MuNs[:,0,None]\\nplt.imshow(Madap1.T, cmap='Greens', vmin = -4, vmax=4)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_D_pop1_an.pdf')\\n\\nfig = plt.figure(figsize = [ 2.0, 1.])\\nax = fig.add_subplot(111) \\nMadap1 = MuNs[:,1,None]\\n\\nplt.imshow(Madap1.T, cmap='Purples', vmin = -4, vmax=4)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_D_pop2_an.pdf')\\n\\n#%%\\nfig = plt.figure(figsize = [2., 2.0])\\nax = fig.add_subplot(111) \\nMadap1 = Sigma[:,:,0]\\n\\nplt.imshow(Madap1, cmap='Greens', vmin = -4, vmax=4)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_D_pop1_sigmas.pdf')\\n\\n#%%\\nfig = plt.figure(figsize = [2., 2.0])\\nax = fig.add_subplot(111) \\nMadap1 = Sigma[:,:,1]\\n\\nplt.imshow(Madap1, cmap='Purples', vmin = -4, vmax=4)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([])\\nax.set_yticks([])\\nplt.savefig('Th_Fig0_D_pop2_sigmas.pdf')\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.49165141582489014,\n \"alphanum_fraction\": 0.5628568530082703,\n \"avg_line_length\": 27.922119140625,\n \"blob_id\": \"4c223f88478dcfb15460bb43aeb6663377af0fce\",\n \"content_id\": \"1d5ea3140ff2cfb7c3d05105471548bcd9ff54f6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 9283,\n \"license_type\": \"no_license\",\n \"max_line_length\": 134,\n \"num_lines\": 321,\n \"path\": \"/C_Fig8_DEF.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Wed Oct 7 11:01:38 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Trip (mu, delta0):\\n integrand = 2*(np.cosh(2*(mu+np.sqrt(delta0)*gauss_points))-2 )/np.cosh(mu+np.sqrt(delta0)*gauss_points)**4\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n\\n#%%\\n\\nepss = np.linspace(1., 3, 7)#np.array((0, 0.1, 0.2, 0.4, 0.6, 1.0, 2.0))\\n#epss = np.linspace(0., 2, 7)#np.array((0, 0.1, 0.2, 0.4, 0.6, 1.0, 2.0))\\n\\nfp1s = np.zeros_like(epss)\\nfp2s = np.zeros_like(epss)\\nus = np.zeros((2,len(epss)))*1j\\nvs = np.zeros((2,2,len(epss)))*1j\\n\\nclS = np.zeros((3, len(epss)))\\n\\ncl2 = np.array(( 225/256, 74/256, 51/256))\\ncl1 = np.array(( 0.5, 0.5, 0.5))\\n\\nnL = len(epss)-1\\nfor iep, eps in enumerate(epss):\\n clS[:,iep] = cl1* (nL-iep)/nL + cl2* (iep)/nL\\n#%%\\ndt = 0.05\\nT = 40\\ntime = np.arange(0, T, dt)\\ntraj1s = np.zeros((2,len(time), len(epss)))\\ntraj2s = np.zeros((2,len(time), len(epss)))\\n\\n\\nfor iep, eps in enumerate(epss):\\n ms = np.linspace(-5,5,100)\\n Sigma = np.zeros((2,2))\\n Sigma[0,0] = 1.4\\n Sigma[1,1] = 1.4\\n Sigma[0,1] = 1.*eps\\n Sigma[1,0] = -1./eps\\n \\n# Sigma[0,0] = 2+eps\\n# Sigma[1,1] = 2-eps\\n# Sigma[0,1] = 1.\\n# Sigma[1,0] = -(eps**2+1)\\n \\n u, v = np.linalg.eig(Sigma)\\n us[:,iep] = u\\n vs[:,:,iep] = v\\n \\n l1 = -0.5\\n l2 = 2.\\n cC = np.array((1, 1, 1,))*0.3\\n\\n \\n kaps1 = np.linspace(-1.3,1.3, 130)\\n kaps2 = np.linspace(-1.3,1.3, 100)\\n ksol = np.zeros((len(kaps1), len(kaps2), 2))\\n \\n K1s, K2s = np.meshgrid(kaps1, kaps2)\\n def transf(K):\\n return(K*Prime(0, np.dot(K.T, K)))\\n \\n E = np.zeros((len(kaps1), len(kaps2)))\\n for ik1 ,k1 in enumerate(kaps1):\\n for ik2, k2 in enumerate(kaps2):\\n K = np.array((k1, k2))\\n ksol[ik1, ik2, :] = - K+ np.dot(Sigma, transf(K))\\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\\n\\n time1 = np.arange(0, 10, dt)\\n traj1 = np.zeros((2,len(time)))\\n traj1[:,0] = np.array((0.5,0.5))\\n \\n for it, ti in enumerate(time[:-1]):\\n traj1[:,it+1] = traj1[:,it] + dt*(-traj1[:,it] + np.dot(Sigma,transf(traj1[:,it])))\\n A = traj1[:,it+1]\\n traj1 = np.zeros((2,len(time)))\\n traj2 = np.zeros((2,len(time)))\\n traj1[:,0] = A\\n \\n for it, ti in enumerate(time[:-1]):\\n traj1[:,it+1] = traj1[:,it] + dt*(-traj1[:,it] + np.dot(Sigma,transf(traj1[:,it])))\\n \\n traj1s[:,:,iep] = traj1\\n\\n \\n fig = plt.figure()\\n ax = fig.add_subplot(111) \\n im = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading= 'auto')\\n \\n\\n strm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color=[0.4, 0.4, 0.4], linewidth=0.8, cmap='autumn', density=0.6)\\n plt.xlabel('$\\\\kappa_1$')\\n plt.ylabel('$\\\\kappa_2$')\\n plt.scatter([ 0, ], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4) \\n plt.plot(traj1[0,:], traj1[1,:], color=clS[:,iep], lw=2.)\\n ax.set_xticks([-1, 0, 1])\\n ax.set_yticks([-1, 0, 1])\\n ax.set_ylim([np.min(kaps2), np.max(kaps2)])\\n ax.set_xlim([np.min(kaps1), np.max(kaps1)])\\n plt.savefig('Th_FigS3_2_C_'+str(eps)+'_1.pdf')\\n\\n#%%\\nfig = plt.figure(figsize = [1.5*2.2 , 1.*2.])\\nax = fig.add_subplot(111) \\nfreq = np.zeros_like(time)\\npers = np.zeros_like(epss)\\nfor iep, eps in enumerate(epss):\\n #plt.plot(time, np.arctan2(traj1s[0,:,iep],traj1s[1,:,iep]), color=clS[:,iep])\\n plt.plot(time, traj1s[1,:,iep], color=clS[:,iep])\\n freq = 2*(traj1s[0,:,iep]>0)-1\\n time_m1 = time[:-1]\\n pers[iep] = 2*np.mean(np.diff(time_m1[np.abs(np.diff(freq))>0]))\\nprint(pers)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.set_yticks([-1, 0, 1])\\nax.set_xticks([0, 10, 20, 30])\\nax.set_xlim([0, 32])\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.ylabel('$\\\\kappa_2$')\\nplt.xlabel(r'time ($\\\\tau$)')\\nplt.savefig('Th_FigS3_2_C_2.pdf')\\n#%%\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nfor iep, eps in enumerate(epss):\\n fp1 = fp1s[iep]\\n fp2 = fp2s[iep]\\n u = us[:,iep]\\n v = vs[:,:,iep]\\n \\n plt.scatter([ 0, ], [0], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4) \\n plt.plot(traj1s[0,:,iep], traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\\n plt.plot(-traj1s[0,:,iep], -traj1s[1,:,iep], color=clS[:,iep], lw=1.5)\\n \\n plt.plot(traj2s[0,:,iep], traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\\n plt.plot(-traj2s[0,:,iep], -traj2s[1,:,iep], color=clS[:,iep], lw=1.5)\\n \\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.set_xticks([-1, 0, 1])\\nax.set_yticks([-1, 0, 1])\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.savefig('Th_FigS3_C.pdf')\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nl1 = -0.5\\nl2 = 1.2\\nplt.plot([l1, l2], [0,0], 'k', lw=0.5)\\nplt.plot( [0,0],[l1, l2], 'k', lw=0.5)\\n\\nR = 1.13\\ntheta= np.linspace(0,2*np.pi)\\nplt.plot(R*np.cos(theta), R*np.sin(theta), color='k', lw=0.6)\\nplt.plot()\\nepss2 = epss[::-1]\\nclS2 = clS[:,::-1]\\nfor iep, eps in enumerate(epss):\\n Sigma[0,0] = 1.4\\n Sigma[1,1] = 1.4\\n Sigma[0,1] = 1.*eps\\n Sigma[1,0] = -1./eps\\n \\n u, v = np.linalg.eig(Sigma)\\n v1 = np.real(v[:,0])\\n fac = np.sqrt(np.sum(v1**2))\\n v1 = v1/fac\\n print(v1)\\n print(v2)\\n print('--')\\n \\n v2 = -np.imag(v[:,1])/fac\\n\\n cC = np.array((1, 1, 1,))*0.3\\n\\n ax.arrow(0, 0, v1[0], v1[1], fc=cC, ec='k', alpha =0.8, width=0.04,\\n head_width=0.13, head_length=0.13, zorder=3)\\n ax.arrow(0, 0, v2[0], v2[1], fc=clS[:,iep], ec='k', alpha =0.8, width=0.04,\\n head_width=0.13, head_length=0.13, zorder=3)\\n \\n# ax.text(0.8, -0.4, r'Re$(\\\\bf{u})$', fontsize = 12)\\n# ax.text(0.2, 1.2, r'Im$(\\\\bf{u})$', fontsize = 12)\\n \\n ax.text(0.5, -0.2, r'Re$( \\\\bf{u})$', fontsize = 15)\\n ax.text(0.1, 0.8, r'Im$( \\\\bf{u})$', fontsize = 15) \\n ax.set_xlim([l1, l2])\\n ax.set_ylim([l1, l2])\\n \\n ax.axis('off')\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.spines['left'].set_visible(False)\\n ax.spines['bottom'].set_visible(False)\\n \\n plt.savefig('Th_FigS3_B.pdf')\\n\\n \\n#%%\\nSigma2 = np.zeros_like(Sigma)\\nSigma2[:,:] = Sigma\\nSigma3 = np.zeros_like(Sigma)*np.nan\\nSigma3[1,0] = Sigma[1,0]\\n\\nSigma2[1, 0] = np.nan\\n\\nplt.rcParams[\\\"axes.grid\\\"] = False\\nfig = plt.figure(figsize = [2.0, 2.0])\\nax = fig.add_subplot(111) \\nplt.imshow(Sigma2, cmap='OrRd', vmin = 0, vmax = 7)\\nplt.imshow(Sigma3, cmap='PuBu', vmin = -0.7, vmax = 0)\\n\\nax.tick_params(color='white')\\n\\n\\nfor i in range(np.shape(Sigma)[0]):\\n for j in range(np.shape(Sigma)[1]):\\n if i==1 and j==0:\\n ax.text(i, j, ' ', va='center', ha='center', fontsize=16)\\n elif i==0 and j==1:\\n ax.text(i, j, ' ', va='center', ha='center', fontsize=16)\\n \\n else:\\n ax.text(i, j, str(Sigma2[j,i]), va='center', ha='center', fontsize=16)\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n\\nax.yaxis.set_ticks_position('right')\\nax.xaxis.set_ticks_position('top') \\nax.set_xticks([0, 1])\\nax.set_yticks([0, 1])\\n\\n\\nax.set_xticklabels([r'$m_i^{\\\\left(1\\\\right)}$', r'$m_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\nax.set_yticklabels([r'$n_i^{\\\\left(1\\\\right)}$', r'$n_i^{\\\\left(2\\\\right)}$'], fontsize=14)\\n\\nplt.savefig('Th_FigS3_A1.pdf')\\nplt.show()\\n\\n\\n#%%\\nfig = plt.figure(figsize = [2.0, 1.1])\\nax = fig.add_subplot(111) \\n\\nclS = np.zeros((3, len(epss)))\\n\\ncl2 = np.array(( 225/256, 74/256, 51/256))\\ncl1 = np.array(( 0.5, 0.5, 0.5))\\n\\nnL = len(epss)-1\\nfor iep, eps in enumerate(epss[:-1]):\\n cl11 = cl1* (nL-iep)/nL + cl2* (iep)/nL\\n cl22 = cl1* (nL-iep-1)/nL + cl2* (iep+1)/nL\\n \\n int_points = 20\\n ps = np.linspace(eps, epss[iep+1], 10)\\n nP = len(ps)-1\\n plt.scatter(eps, 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\\n plt.scatter(epss[iep+1], 1.18, s=40, marker='v', color='k', edgecolor=[0.8, 0.8, 0.8], zorder=3)\\n \\n for ip , p in enumerate(ps[:-1]):\\n \\n cc = cl11* (nP-ip)/nP + cl22* (ip)/nP\\n \\n plt.fill_between([p, ps[ip+1]], [0, 0], [1, 1], color=cc)\\n\\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.spines['left'].set_visible(False)\\nax.spines['bottom'].set_visible(False)\\n \\nax.set_yticks([])\\nax.set_xticks([1, 2, 3])\\nax.set_xlabel('')\\n\\nax.set_xlim([0.9,3.1])\\nax.set_ylim([-0.05,1.4])\\nax.plot([1,3], [1,1], c='k')\\nax.plot([1,1], [0,1], c='k')\\nax.plot([3,3], [0,1], c='k')\\nax.plot([1,3], [0.0,0.0], c='k', zorder=2)\\n\\nplt.tight_layout()\\nplt.savefig('Th_FigS3_A2.pdf')\\nplt.show()\"\n },\n {\n \"alpha_fraction\": 0.7658349275588989,\n \"alphanum_fraction\": 0.781190037727356,\n \"avg_line_length\": 85.83333587646484,\n \"blob_id\": \"071db5e2c58114d6f125288b6e6b7e9957b9b8b1\",\n \"content_id\": \"f7d4a179091434ec5004260810893c7a5dbd0fbc\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 521,\n \"license_type\": \"no_license\",\n \"max_line_length\": 272,\n \"num_lines\": 6,\n \"path\": \"/README.md\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# low-rank2020\\nThese are the codes for the paper \\\"Shaping dynamics with multiple populations in low-rank recurrent networks\\\".\\n\\nAll figures of the publication can be reproduced by running the respective script. They take only a few seconds to run.\\n\\nFigure 7 includes some summary statistics (panels B, C and D) that take longer to run (~1h). The file \\\"C_Fig7_allpanels.py\\\" plots those panels based on a saved file (also provided). The file \\\"C_Fig7_ABCD.py\\\", which takes longer to run, calculates those summary statistics.\\n\"\n },\n {\n \"alpha_fraction\": 0.48621466755867004,\n \"alphanum_fraction\": 0.5631593465805054,\n \"avg_line_length\": 32.36854553222656,\n \"blob_id\": \"7ea9a192c799ae18b24afa543ddc89a9ba5d743a\",\n \"content_id\": \"98e971ee575529b467cd667c5a0f44aa98eb6525\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 14218,\n \"license_type\": \"no_license\",\n \"max_line_length\": 148,\n \"num_lines\": 426,\n \"path\": \"/C_Fig6_ABC.py\",\n \"repo_name\": \"emebeiran/low-rank2020\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Mon Mar 30 10:49:59 2020\\n\\n@author: mbeiran\\n\\\"\\\"\\\"\\n#%%\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport lib_rnns as lr\\nfrom matplotlib.gridspec import GridSpec\\naa = lr.set_plot()\\n\\n\\n \\ngaussian_norm = (1/np.sqrt(np.pi))\\ngauss_points, gauss_weights = np.polynomial.hermite.hermgauss(200)\\ngauss_points = gauss_points*np.sqrt(2)\\n\\ndef Phi (mu, delta0):\\n integrand = np.tanh(mu+np.sqrt(delta0)*gauss_points)\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\ndef Prime (mu, delta0):\\n integrand = 1 - (np.tanh(mu+np.sqrt(delta0)*gauss_points))**2\\n return gaussian_norm * np.dot (integrand,gauss_weights)\\n\\n#%%\\nN = 400\\nnbins = 20\\n\\n\\ns_mn1 = 0*np.array((0.5, 0.5, 0.5, 0.5))\\ns_mn2 = 0*np.array((0.5, 0.5, 0.5, 0.5))\\n\\nval = 0.5#np.sqrt(1-0.5**2)\\n\\npops = 1\\nolap = 2.\\n\\na_m1 = np.sqrt(1-val**2)*np.array((1., -1., 1., -1.))\\na_m2 = np.sqrt(1-val**2)*np.array((1., 1., -1., -1.))\\na_n1 = olap*(1/np.sqrt(1-val**2))*np.array((1., -1., 1., -1.))\\na_n2 = olap*(1/np.sqrt(1-val**2))*pops*np.array((1., 1., -1., -1.))\\n\\n\\n\\nm1 = np.random.randn(N)\\nn1 = np.random.randn(N)\\nm2 = np.random.randn(N)\\nn2 = np.random.randn(N)\\n\\nsels = 1000\\nerr0 = 50\\n\\npops = len(a_m1)\\nfor t in range(sels):\\n V = np.random.randn(N//pops, 20)\\n CC = np.dot(V, V.T)\\n for po in range(pops):\\n CC[po,po] = 0.\\n \\n err = np.std(CC)\\n if err<err0:\\n Vs = V\\n err0 = err\\n \\nix = 0\\n\\nfor po in range(pops):\\n m1[po*(N//pops):(po+1)*(N//pops)] = a_m1[po]+val*V[:, ix] \\n ix += 1\\n n1[po*(N//pops):(po+1)*(N//pops)] = a_n1[po]+val*V[:, ix]#+s_mn1[po]*V[:, ix]/val\\n ix += 1 \\n m2[po*(N//pops):(po+1)*(N//pops)] = a_m2[po]+val*V[:, ix]\\n ix += 1\\n n2[po*(N//pops):(po+1)*(N//pops)] = a_n2[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\\n ix += 1\\n\\n#%%\\n# =============================================================================\\n# Fig 2\\n# =============================================================================\\nms = np.linspace(-5,5,100)\\nSigma = np.zeros((2,2))\\nSigma[0,0] = 1.3\\nSigma[1,1] = 1.8\\nSigma[0,1] = -0.5\\nSigma[1,0] = 0.8\\n\\n\\nN = 1000\\nS=10\\nM = np.vstack((m1, m2)).T\\nss2 = 0.3\\n\\nNNN = np.vstack((n1, n2))\\n\\nfig = plt.figure(figsize=[3.2, 3.2])#, dpi=600\\ngs = GridSpec(5,5)\\n\\nax_joint00 = fig.add_subplot(gs[1:3,0:2])\\nax_joint01 = fig.add_subplot(gs[1:3,2:4])\\nax_joint10 = fig.add_subplot(gs[3:5,0:2])\\nax_joint11 = fig.add_subplot(gs[3:5,2:4])\\n\\nax_marg_x0 = fig.add_subplot(gs[0,0:2])\\nax_marg_x1 = fig.add_subplot(gs[0,2:4])\\n\\nax_marg_y0 = fig.add_subplot(gs[1:3,4])\\nax_marg_y1 = fig.add_subplot(gs[3:5,4])\\n\\nyl = 4.\\nylt = 3.\\nxl = 2.5\\nxlt = 2.\\nax_joint00.scatter(M[:,0], NNN[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint00.scatter(np.sqrt(1-val**2)*np.array((1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1.)),\\n s=2*S, edgecolor='k', facecolor='w')\\nax_joint00.set_xlim([-xl, xl])\\nax_joint00.set_xticks([-xlt, 0, xlt])\\nax_joint00.set_xticklabels(['','',''])\\nax_joint00.set_ylim([-yl,yl])\\nax_joint00.set_yticks([-ylt, 0, ylt])\\nax_joint00.set_ylabel(r'$n^{\\\\left(1\\\\right)}_i$')\\nax_joint00.spines['top'].set_visible(False)\\nax_joint00.spines['right'].set_visible(False)\\nax_joint00.yaxis.set_ticks_position('left')\\nax_joint00.xaxis.set_ticks_position('bottom')\\n \\nax_joint01.scatter(M[:,1], NNN[0,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint01.scatter(np.sqrt(1-val**2)*np.array((1., -1., 1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1., -1, 1.)),\\n s=2*S, edgecolor='k', facecolor='w')\\nax_joint01.spines['top'].set_visible(False)\\nax_joint01.spines['right'].set_visible(False)\\nax_joint01.yaxis.set_ticks_position('left')\\nax_joint01.xaxis.set_ticks_position('bottom')\\nax_joint01.set_ylim([-yl,yl])\\nax_joint01.set_yticks([-ylt, 0, ylt])\\nax_joint01.set_yticklabels(['','',''])\\nax_joint01.set_xlim([-xl, xl])\\nax_joint01.set_xticks([-xlt, 0, xlt])\\nax_joint01.set_xticklabels(['','',''])\\n\\nax_joint10.scatter(M[:,0], NNN[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint10.scatter(np.sqrt(1-val**2)*np.array((1., -1., 1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1., -1, 1.)),\\n s=2*S, edgecolor='k', facecolor='w')\\nax_joint10.set_xlim([-3,3])\\nax_joint10.spines['top'].set_visible(False)\\nax_joint10.spines['right'].set_visible(False)\\nax_joint10.yaxis.set_ticks_position('left')\\nax_joint10.xaxis.set_ticks_position('bottom')\\nax_joint10.set_ylim([-yl,yl])\\nax_joint10.set_yticks([-ylt, 0, ylt])\\nax_joint10.set_xlim([-xl, xl])\\nax_joint10.set_xticks([-xlt, 0, xlt])\\nax_joint10.set_ylabel(r'$n^{\\\\left(2\\\\right)}_i$')\\nax_joint10.set_xlabel(r'$m^{\\\\left(1\\\\right)}_i$')\\n\\nax_joint11.scatter(M[:,1], NNN[1,:], s=S, alpha=0.5, label=r'$\\\\sigma_{mn} = 1.2$', rasterized=True)\\nax_joint11.scatter(np.sqrt(1-val**2)*np.array((1., -1.)), olap*(1/np.sqrt(1-val**2))*np.array((1., -1.)),\\n s=2*S, edgecolor='k', facecolor='w')\\nax_joint11.set_xlim([-3,3])\\nax_joint11.spines['top'].set_visible(False)\\nax_joint11.spines['right'].set_visible(False)\\nax_joint11.set_ylim([-yl, yl])\\nax_joint11.set_yticks([-ylt, 0, ylt])\\nax_joint11.set_xlim([-xl, xl])\\nax_joint11.set_xticks([-xlt, 0, xlt])\\nax_joint11.set_yticklabels(['','',''])\\nax_joint11.yaxis.set_ticks_position('left')\\nax_joint11.xaxis.set_ticks_position('bottom')\\nax_joint11.set_xlabel(r'$m^{\\\\left(2\\\\right)}_i$')\\n\\nax_marg_x0.hist(M[:,0], nbins, alpha=0.5, density=True)\\nss = val\\nax_marg_x0.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\\nax_marg_x0.spines['top'].set_visible(False)\\nax_marg_x0.spines['right'].set_visible(False)\\nax_marg_x0.spines['left'].set_visible(False)\\nax_marg_x0.yaxis.set_ticks_position('left')\\nax_marg_x0.xaxis.set_ticks_position('bottom')\\nax_marg_x0.set_xlim([-3,3])\\nax_marg_x0.set_xticks([-2., 0, 2.])\\nax_marg_x0.set_ylim([0,.8])\\nax_marg_x0.set_xticklabels(['','',''])\\nax_marg_x0.set_yticks([1])\\n\\nax_marg_x1.hist(M[:,1], nbins, alpha=0.5, density=True)\\nax_marg_x1.plot(ms, (0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+np.sqrt(1-val**2))**2/(2*ss**2)) + np.exp(-(ms-np.sqrt(1-val**2))**2/(2*ss**2))), 'k')\\nax_marg_x1.spines['top'].set_visible(False)\\nax_marg_x1.spines['right'].set_visible(False)\\nax_marg_x1.spines['left'].set_visible(False)\\nax_marg_x1.yaxis.set_ticks_position('left')\\nax_marg_x1.xaxis.set_ticks_position('bottom')\\nax_marg_x1.set_xlim([-3,3])\\nax_marg_x1.set_ylim([0,0.8])\\nax_marg_x1.set_xticks([-2., 0, 2.])\\nax_marg_x1.set_xticklabels(['','',''])\\nax_marg_x1.set_yticks([1])\\n\\nax_marg_y0.hist(NNN[0,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nss= val\\nMu = olap*(1/np.sqrt(1-val**2))\\nax_marg_y0.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\\nax_marg_y0.spines['top'].set_visible(False)\\nax_marg_y0.spines['right'].set_visible(False)\\nax_marg_y0.spines['bottom'].set_visible(False)\\nax_marg_y0.yaxis.set_ticks_position('left')\\nax_marg_y0.xaxis.set_ticks_position('bottom')\\nax_marg_y0.set_ylim([-yl,yl])\\nax_marg_y0.set_xlim([0,0.8])\\nax_marg_y0.set_yticks([-ylt, 0, ylt])\\nax_marg_y0.set_yticklabels(['','',''])\\nax_marg_y0.set_xticks([1])\\nax_marg_y0.set_xticklabels([''])\\n\\nax_marg_y1.hist(NNN[1,:], nbins, orientation=\\\"horizontal\\\", alpha=0.5, density=True)\\nax_marg_y1.plot((0.5/np.sqrt(2*np.pi*ss**2))*(np.exp(-(ms+Mu)**2/(2*ss**2)) + np.exp(-(ms-Mu)**2/(2*ss**2))),ms, 'k')\\nax_marg_y1.spines['top'].set_visible(False)\\nax_marg_y1.spines['right'].set_visible(False)\\nax_marg_y1.spines['bottom'].set_visible(False)\\nax_marg_y1.yaxis.set_ticks_position('left')\\nax_marg_y1.xaxis.set_ticks_position('bottom')\\nax_marg_y1.set_ylim([-yl,yl])\\nax_marg_y1.set_xlim([0,0.8])\\nax_marg_y1.set_yticks([-ylt, 0, ylt])\\nax_marg_y1.set_yticklabels(['','',''])\\nax_marg_y1.set_xticks([1])\\nax_marg_y1.set_xticklabels([''])\\n\\nplt.savefig('Th_Fig5_1_A.pdf')\\n\\n#%%\\nkaps1 = np.linspace(-2.5,2.5, 150)\\nkaps2 = np.linspace(-2.5,2.5, 140)\\nksol = np.zeros((len(kaps1), len(kaps2), 2))\\n\\nK1s, K2s = np.meshgrid(kaps1, kaps2)\\ndef transf(K):\\n return(K*Prime(0, np.dot(K.T, K)))\\n\\n\\nE = np.zeros((len(kaps1), len(kaps2)))\\nfor ik1 ,k1 in enumerate(kaps1):\\n for ik2, k2 in enumerate(kaps2):\\n K = np.array((k1, k2))\\n ksol[ik1, ik2, :] = - K\\n for ip in range(pops):\\n ksol[ik1, ik2, 0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*k1+a_m2[ip]*k2, val**2*k1**2+val**2*k2**2)\\n ksol[ik1, ik2, 1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*k1+a_m2[ip]*k2, val**2*k1**2+val**2*k2**2)\\n \\n E[ik1, ik2] = np.sqrt(np.sum(ksol[ik1,ik2,:]**2))\\n \\nsearch_kap1 = np.linspace(0.2, 2.5, 300)\\nE_1 = np.zeros_like(search_kap1)\\nv = np.array((1,0))\\nfor ik1 ,k1 in enumerate(search_kap1):\\n K = v*k1\\n kSS = - K[0]\\n for ip in range(pops):\\n kSS += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0], val**2*K[0]**2)\\n \\n E_1[ik1] = np.abs(kSS)\\nfp1 = search_kap1[np.argmin(E_1)]\\n\\nsearch_kap1 = np.linspace(0.2, 3., 500)\\nE_1 = np.zeros_like(search_kap1)\\nv = np.array((0,1))\\nE11 = np.zeros_like(E_1)\\nE12 = np.zeros_like(E_1)\\n\\nfor ik1 ,k1 in enumerate(search_kap1):\\n K = v*k1\\n kSS = - K\\n for ip in range(pops):\\n kSS[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1], val**2*K[0]**2+val**2*K[1]**2)\\n kSS[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[1], val**2*K[0]**2+val**2*K[1]**2)\\n E11[ik1] =kSS[0]\\n E12[ik1] =kSS[1]\\n \\n E_1[ik1] = np.sum(kSS**2)\\nfp11 = search_kap1[np.argmin(E_1)]\\n\\nsearch_kap2 = np.linspace(0.2, 2., 300)\\ndkap = search_kap2[1]-search_kap2[0]\\nE_2 = np.zeros_like(search_kap2)\\nAn = np.vstack((a_n1, a_n2))\\nAm = np.vstack((a_m1, a_m2))\\n\\nfor ik2 ,k2 in enumerate(search_kap2):\\n W = np.array((1, 1))/np.sqrt(2)\\n K = W*k2\\n kSS = - K\\n for ip in range(pops):\\n kSS[0] += (1/pops)*a_n1[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[0], val**2*K[0]**2+val**2*K[1]**2)\\n kSS[1] += (1/pops)*a_n2[ip]*Phi(a_m1[ip]*K[0]+a_m2[ip]*K[0], val**2*K[0]**2+val**2*K[1]**2)\\n \\n E_2[ik2] = np.abs(np.sum(kSS**2))\\nfp2 = search_kap2[np.argmin(E_2)]+dkap\\n\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\nim = plt.pcolor(kaps1, kaps2, np.log10(E).T, cmap ='viridis', vmin = -2.,vmax=0, shading='auto')\\n\\n\\nstrm = ax.streamplot(kaps1, kaps2, ksol[:,:,0].T, ksol[:,:,1].T, color='w', linewidth=1, cmap='autumn', density=0.6)\\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0, fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2), -fp2/np.sqrt(2)], \\\\\\n [0, fp2/np.sqrt(2), -fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2)], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\nplt.scatter([ 0, 0, fp1, -fp1], [fp11, -fp11, 0, 0], s=70, edgecolor='w', facecolor='k', linewidth=1., zorder=4)\\n\\nplt.plot([ fp1,0, -fp1,0, fp1], [0, fp11, 0, -fp11,0], c='k', lw=0.7)\\n\\nth = np.linspace(0, 2*np.pi)\\n\\nax.set_xticks([-2, 0, 2])\\nax.set_yticks([-2, 0, 2])\\nax.set_ylim([np.min(kaps2), np.max(kaps2)])\\nax.set_xlim([np.min(kaps1), np.max(kaps1)])\\nplt.savefig('Th_Fig5_1_C1.pdf')\\n\\n#%%\\nfig = plt.figure()\\nax = fig.add_subplot(111) \\n\\nplt.xlabel('$\\\\kappa_1$')\\nplt.ylabel('$\\\\kappa_2$')\\nplt.scatter([ 0, fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2), -fp2/np.sqrt(2)], \\\\\\n [0, fp2/np.sqrt(2), -fp2/np.sqrt(2), fp2/np.sqrt(2), -fp2/np.sqrt(2)], s=50, edgecolor='k', facecolor='w', linewidth=1., zorder=4)\\nplt.scatter([ 0, 0, fp1, -fp1], [fp11, -fp11, 0, 0], s=70, edgecolor='w', facecolor='k', linewidth=1., zorder=5)\\nplt.plot([ fp1,0, -fp1,0, fp1], [0, fp11, 0, -fp11,0], c='k', lw=0.7)\\n\\n\\nNn = 1000\\n\\nMu= np.zeros((4,1))\\n\\ninkap1 = np.linspace(-2.2, 2.2, 5)\\ninkap2 = np.linspace(-2.2, 2.2, 6)\\n\\ndt = 0.1\\ntime = np.arange(0, 120, dt)\\n\\nfor trials in range(2):\\n s_mn1 = 0*np.array((0.5, 0.5, 0.5, 0.5))\\n s_mn2 = 0*np.array((0.5, 0.5, 0.5, 0.5))\\n \\n val = 0.5#np.sqrt(1-0.5**2)\\n \\n pops = 1\\n olap = 2.\\n \\n a_m1 = np.sqrt(1-val**2)*np.array((1., -1., 1., -1.))\\n a_m2 = np.sqrt(1-val**2)*np.array((1., 1., -1., -1.))\\n a_n1 = olap*(1/np.sqrt(1-val**2))*np.array((1., -1., 1., -1.))\\n a_n2 = olap*(1/np.sqrt(1-val**2))*pops*np.array((1., 1., -1., -1.))\\n \\n m1 = np.random.randn(Nn)\\n n1 = np.random.randn(Nn)\\n m2 = np.random.randn(Nn)\\n n2 = np.random.randn(Nn)\\n \\n sels = 1000\\n err0 = 50\\n \\n pops = len(a_m1)\\n for t in range(sels):\\n V = np.random.randn(Nn//pops, 20)\\n CC = np.dot(V, V.T)\\n for po in range(pops):\\n CC[po,po] = 0.\\n \\n err = np.std(CC)\\n if err<err0:\\n Vs = V\\n err0 = err\\n \\n ix = 0\\n \\n for po in range(pops):\\n m1[po*(Nn//pops):(po+1)*(Nn//pops)] = a_m1[po]+val*V[:, ix] \\n ix += 1\\n n1[po*(Nn//pops):(po+1)*(Nn//pops)] = a_n1[po]+val*V[:, ix]#+s_mn1[po]*V[:, ix]/val\\n ix += 1 \\n m2[po*(Nn//pops):(po+1)*(Nn//pops)] = a_m2[po]+val*V[:, ix]\\n ix += 1\\n n2[po*(Nn//pops):(po+1)*(Nn//pops)] = a_n2[po]+val*V[:, ix]#+s_mn2[po]*V[:, ix]/val\\n ix += 1\\n M = np.vstack((m1, m2)).T\\n N = np.vstack((n1, n2))\\n\\n J = np.dot(M, N)/Nn\\n \\n cC = np.ones(3)*0.6\\n \\n for ik1, ink1 in enumerate(inkap1):\\n for ik2, ink2 in enumerate(inkap2):\\n sk1 = np.zeros_like(time)\\n sk2 = np.zeros_like(time)\\n \\n x0 = ink1*M[:,0] + ink2*M[:,1]\\n sk1[0] = np.mean(M[:,0]*x0)\\n sk2[0] = np.mean(M[:,1]*x0)\\n \\n for it, ti in enumerate(time[:-1]):\\n x = x0 + dt*(-x0 + np.dot(J, np.tanh(x0)))\\n sk1[it+1] = np.mean(M[:,0]*x)\\n sk2[it+1] = np.mean(M[:,1]*x)\\n x0 = x\\n plt.plot(sk1, sk2, c=cC)\\n plt.scatter(sk1[0], sk2[0], s=10, facecolor=cC)\\n plt.scatter(sk1[-1], sk2[-1], s=25, facecolor=cC, edgecolor='k', zorder=3)\\n \\nax.set_xticks([-2, 0, 2])\\nax.set_yticks([-2, 0, 2])\\nax.set_ylim([1.1*np.min(kaps2), 1.1*np.max(kaps2)])\\nax.set_xlim([1.1*np.min(kaps1), 1.1*np.max(kaps1)])\\n \\nax.spines['top'].set_visible(False)\\nax.spines['right'].set_visible(False)\\nax.yaxis.set_ticks_position('left')\\nax.xaxis.set_ticks_position('bottom') \\nplt.savefig('Th_Fig5_1_D.pdf') \"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":13,"string":"13"}}},{"rowIdx":2984199,"cells":{"repo_name":{"kind":"string","value":"excursiones/payments"},"repo_url":{"kind":"string","value":"https://github.com/excursiones/payments"},"snapshot_id":{"kind":"string","value":"bbfd97255273967f90c0f065e71e1af2a10460b6"},"revision_id":{"kind":"string","value":"ce4215e599fb3240c40e0133899abbf78d09ea3a"},"directory_id":{"kind":"string","value":"daa6c31f5177f6622876ae59e67bc61a658e656e"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-05-18T10:47:49.394075","string":"2022-05-18T10:47:49.394075"},"revision_date":{"kind":"timestamp","value":"2019-05-26T17:42:28","string":"2019-05-26T17:42:28"},"committer_date":{"kind":"timestamp","value":"2019-05-26T17:42:28","string":"2019-05-26T17:42:28"},"github_id":{"kind":"number","value":188713869,"string":"188,713,869"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"timestamp","value":"2019-05-26T17:44:10","string":"2019-05-26T17:44:10"},"gha_updated_at":{"kind":"timestamp","value":"2019-05-26T17:44:45","string":"2019-05-26T17:44:45"},"gha_pushed_at":{"kind":"timestamp","value":"2022-04-22T21:19:47","string":"2022-04-22T21:19:47"},"gha_language":{"kind":"string","value":"Python"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5563739538192749,"alphanum_fraction":0.5699716806411743,"avg_line_length":37.369564056396484,"blob_id":"841892913b4807289ee84150833c691f898d6b41","content_id":"53257f8a8b2d520b773eadedea22082352edbb13","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1765,"license_type":"no_license","max_line_length":127,"num_lines":46,"path":"/payments_ms/migrations/0001_initial.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"# Generated by Django 2.2 on 2019-05-20 20:56\n\nimport django.core.validators\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='CompanyPayment',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('company_id', models.IntegerField()),\n ('price', models.FloatField(validators=[django.core.validators.MinValueValidator(1)])),\n ('date', models.DateTimeField(auto_now_add=True)),\n ('origin_account', models.CharField(max_length=30)),\n ('destination_account', models.CharField(max_length=30)),\n ],\n ),\n migrations.CreateModel(\n name='UserPayment',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('user_id', models.IntegerField()),\n ('price', models.FloatField(validators=[django.core.validators.MinValueValidator(1)])),\n ('date', models.DateTimeField(auto_now_add=True)),\n ('origin_account', models.CharField(max_length=30)),\n ('destination_account', models.CharField(max_length=30)),\n ],\n ),\n migrations.CreateModel(\n name='PaymentRefund',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('date', models.DateTimeField(auto_now_add=True)),\n ('user_payment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='payments_ms.UserPayment')),\n ],\n ),\n ]\n"},{"alpha_fraction":0.6881463527679443,"alphanum_fraction":0.6961018443107605,"avg_line_length":37.121212005615234,"blob_id":"d7acd92c5d1d4725f92b48816bd8b4a2d8201eb5","content_id":"4f5129b80d05c6e11ba32a33bc232c8a3e57cb22","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1257,"license_type":"no_license","max_line_length":75,"num_lines":33,"path":"/payments_ms/models.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from djongo import models\nfrom django.core.validators import MinValueValidator\n# Create your models here.\n \nclass UserPayment(models.Model):\n id = models.AutoField(primary_key = True)\n user_id = models.IntegerField()\n price = models.FloatField(validators=[MinValueValidator(1)])\n date = models.DateTimeField(auto_now_add=True)\n origin_account = models.CharField(max_length = 30)\n destination_account = models.CharField(max_length = 30)\n\n def __str__(self):\n return '{} - ${}'.format(self.user_id, self.price)\n\nclass PaymentRefund(models.Model):\n id = models.AutoField(primary_key = True)\n user_payment = models.ForeignKey(UserPayment, on_delete=models.CASCADE)\n date = models.DateTimeField(auto_now_add=True)\n\n def __str__(self):\n return '{}'.format(self.user_payment)\n\nclass CompanyPayment(models.Model):\n id = models.AutoField(primary_key = True)\n company_id = models.IntegerField()\n price = models.FloatField(validators=[MinValueValidator(1)])\n date = models.DateTimeField(auto_now_add=True)\n origin_account = models.CharField(max_length = 30)\n destination_account = models.CharField(max_length = 30)\n\n def __str__(self):\n return '{} - ${}'.format(self.company_id, self.price)"},{"alpha_fraction":0.6669184565544128,"alphanum_fraction":0.6737160086631775,"avg_line_length":37.764705657958984,"blob_id":"948e534450520b4d4104b7e8e657c47853350778","content_id":"0f28091c36daea1c30275e34e4a336f4e024fbcc","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1324,"license_type":"no_license","max_line_length":85,"num_lines":34,"path":"/payments_ms/views/user_payment_views.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from rest_framework.response import Response\nfrom rest_framework.views import APIView\nfrom django.shortcuts import get_object_or_404\n\nfrom ..models import UserPayment\nfrom ..serializers import UserPaymentSerializer\n\nclass UserPaymentView(APIView):\n def get(self, request):\n payments = UserPayment.objects.all()\n payments = list(payments.values())\n return Response({\"Users payments\": payments})\n \n def post(self, request):\n payment = request.data.get('user_payment')\n\n serializer = UserPaymentSerializer(data=payment)\n if serializer.is_valid(raise_exception=True):\n payment_saved = serializer.save()\n return Response({\"User payment creation\": \"success\"})\n\n def put(self, request, pk):\n payment = get_object_or_404(UserPayment.objects.all(), pk=pk)\n data = request.data.get('user_payment')\n \n serializer = UserPaymentSerializer(instance=payment, data=data, partial=True)\n if serializer.is_valid(raise_exception=True):\n payment_saved = serializer.save()\n return Response({\"User payment updated\": \"success\"})\n\n def delete(self, request, pk):\n payment = get_object_or_404(UserPayment.objects.all(), pk=pk)\n payment.delete()\n return Response({\"User payment deleted\": \"success\"})\n \n\n"},{"alpha_fraction":0.677395761013031,"alphanum_fraction":0.6839795112609863,"avg_line_length":39.02941131591797,"blob_id":"e84bb4d0f4c5b030c5282eb280e486df8a18ce5f","content_id":"68a92555b87aeac3ad454cbe2bc9db4b19ff333c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1367,"license_type":"no_license","max_line_length":88,"num_lines":34,"path":"/payments_ms/views/company_payment_views.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from rest_framework.response import Response\nfrom rest_framework.views import APIView\nfrom django.shortcuts import get_object_or_404\n\nfrom ..models import CompanyPayment\nfrom ..serializers import CompanyPaymentSerializer\n\nclass CompanyPaymentView(APIView):\n def get(self, request):\n payments = CompanyPayment.objects.all()\n payments = list(payments.values())\n return Response({\"Companies payments\": payments})\n \n def post(self, request):\n payment = request.data.get('company_payment')\n\n serializer = CompanyPaymentSerializer(data=payment)\n if serializer.is_valid(raise_exception=True):\n payment_saved = serializer.save()\n return Response({\"Company payment creation\": \"success\"})\n\n def put(self, request, pk):\n payment = get_object_or_404(CompanyPayment.objects.all(), pk=pk)\n data = request.data.get('company_payment')\n \n serializer = CompanyPaymentSerializer(instance=payment, data=data, partial=True)\n if serializer.is_valid(raise_exception=True):\n payment_saved = serializer.save()\n return Response({\"Company payment updated\": \"success\"})\n\n def delete(self, request, pk):\n payment = get_object_or_404(CompanyPayment.objects.all(), pk=pk)\n payment.delete()\n return Response({\"Company payment deleted\": \"success\"})\n \n\n"},{"alpha_fraction":0.5043227672576904,"alphanum_fraction":0.5074927806854248,"avg_line_length":41.32926940917969,"blob_id":"be6bab7a230f858e3aec6aa1c2671ffae4cc675d","content_id":"77f5cdc5c00bc0a13523f2c3dbf08c391740a415","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3470,"license_type":"no_license","max_line_length":88,"num_lines":82,"path":"/payments_ms/serializers.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from rest_framework import serializers\nfrom rest_framework.validators import UniqueValidator\nfrom django.shortcuts import get_object_or_404\nfrom .models import *\n\nclass UserPaymentSerializer(serializers.Serializer):\n user_id = serializers.IntegerField()\n price = serializers.FloatField()\n origin_account = serializers.CharField(max_length = 30)\n destination_account = serializers.CharField(max_length = 30)\n\n def create(self, validated_data):\n return UserPayment.objects.create(**validated_data)\n\n def update(self, instance, validated_data):\n instance.user_id = validated_data.get('user_id', instance.user_id)\n instance.price = validated_data.get('price', instance.price)\n instance.origin_account = validated_data.get(\n 'origin_account',\n instance.origin_account\n )\n instance.destination_account = validated_data.get(\n 'destination_account',\n instance.destination_account\n )\n\n instance.save()\n return instance\n\n class Meta:\n model = UserPayment\n fields = ('__all__')\n\nclass PaymentRefundSerializer(serializers.Serializer):\n user_payment_id = serializers.IntegerField(validators=[\n UniqueValidator(\n queryset=PaymentRefund.objects.all()\n )\n ])\n\n def create(self, validated_data):\n return PaymentRefund.objects.create(**validated_data)\n\n def update(self, instance, validated_data):\n instance.user_payment_id = validated_data.get(\n 'user_payment_id',\n instance.user_payment_id\n )\n instance.save()\n return instance\n\n class Meta:\n model = PaymentRefund\n fields = ('__all__')\n\nclass CompanyPaymentSerializer(serializers.Serializer):\n company_id = serializers.IntegerField()\n price = serializers.FloatField()\n origin_account = serializers.CharField(max_length = 30)\n destination_account = serializers.CharField(max_length = 30)\n\n def create(self, validated_data):\n return CompanyPayment.objects.create(**validated_data)\n\n def update(self, instance, validated_data):\n instance.company_id = validated_data.get('company_id', instance.company_id)\n instance.price = validated_data.get('price', instance.price)\n instance.origin_account = validated_data.get(\n 'origin_account',\n instance.origin_account\n )\n instance.destination_account = validated_data.get(\n 'destination_account',\n instance.destination_account\n )\n\n instance.save()\n return instance\n\n class Meta:\n model = CompanyPayment\n fields = ('__all__')"},{"alpha_fraction":0.6940726637840271,"alphanum_fraction":0.6940726637840271,"avg_line_length":31.75,"blob_id":"fe2a70b038a9a45ca3b34bad2b68296e7ff5e0d7","content_id":"a31ac6707832dfb7f8269c7569ab71c917f732c6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":523,"license_type":"no_license","max_line_length":68,"num_lines":16,"path":"/payments_ms/urls.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from django.urls import path\n\nfrom .views import *\n\n\napp_name = \"payments_ms\"\n\n# app_name will help us do a reverse look-up latter.\nurlpatterns = [\n path('user_payments/', UserPaymentView.as_view()),\n path('user_payments/<int:pk>', UserPaymentView.as_view()),\n path('company_payments/', CompanyPaymentView.as_view()),\n path('company_payments/<int:pk>', CompanyPaymentView.as_view()),\n path('payment_refunds/', PaymentRefundView.as_view()),\n path('payment_refunds/<int:pk>', PaymentRefundView.as_view()),\n]"},{"alpha_fraction":0.6087470650672913,"alphanum_fraction":0.6176123023033142,"avg_line_length":41.32500076293945,"blob_id":"2a85ea2fa169f2a1c7ae8d1b01cab544de9de420","content_id":"b8f10f2063d121ab0498d52cc669548500923b7d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1692,"license_type":"no_license","max_line_length":86,"num_lines":40,"path":"/payments_ms/views/payment_refund_views.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from rest_framework.response import Response\nfrom rest_framework.views import APIView\nfrom django.shortcuts import get_object_or_404\n\nfrom ..models import PaymentRefund, UserPayment\nfrom ..serializers import PaymentRefundSerializer\n\nclass PaymentRefundView(APIView):\n def get(self, request):\n refunds = PaymentRefund.objects.all()\n refunds = list(refunds.values())\n return Response({\"Payment refunds\": refunds})\n \n def post(self, request):\n data = request.data.get('payment_refund')\n user_payment = get_object_or_404(UserPayment.objects.all(),\n id=data['user_payment_id']\n )\n\n serializer = PaymentRefundSerializer(data=data)\n if serializer.is_valid(raise_exception=True):\n refund_saved = serializer.save()\n return Response({\"Payment refund creation\": \"success\"})\n\n def put(self, request, pk):\n refund = get_object_or_404(PaymentRefund.objects.all(), pk=pk)\n data = request.data.get('payment_refund')\n user_payment = get_object_or_404(UserPayment.objects.all(),\n id=data['user_payment_id']\n )\n\n serializer = PaymentRefundSerializer(instance=refund, data=data, partial=True)\n if serializer.is_valid(raise_exception=True):\n payment_saved = serializer.save()\n return Response({\"Payment refund updated\": \"success\"})\n\n def delete(self, request, pk):\n refund = get_object_or_404(PaymentRefund.objects.all(), pk=pk)\n refund.delete()\n return Response({\"Payment refund deleted\": \"success\"})"},{"alpha_fraction":0.7757009267807007,"alphanum_fraction":0.7757009267807007,"avg_line_length":34.66666793823242,"blob_id":"344f8f2dbe6d02d929f3159d93dcfaf2192d1993","content_id":"46c1bbb080b6c2e07c41c40afdb56033ba122d0f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":107,"license_type":"no_license","max_line_length":36,"num_lines":3,"path":"/payments_ms/views/__init__.py","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"from .user_payment_views import *\nfrom .company_payment_views import *\nfrom .payment_refund_views import *\n"},{"alpha_fraction":0.7350427508354187,"alphanum_fraction":0.7606837749481201,"avg_line_length":13.75,"blob_id":"6f19ab9721e91e0bb401fabc041acb09dd9ca3f4","content_id":"b5f7239b3b3b8843c55d0683e625aa214e63e7d6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Dockerfile","length_bytes":117,"license_type":"no_license","max_line_length":35,"num_lines":8,"path":"/Dockerfile","repo_name":"excursiones/payments","src_encoding":"UTF-8","text":"FROM python:3.6\n\nENV PYTHONUNBUFFERED 1\n\nRUN mkdir /app\nWORKDIR /app\nCOPY . /app/\nRUN pip install -r requirements.txt"}],"string":"[\n {\n \"alpha_fraction\": 0.5563739538192749,\n \"alphanum_fraction\": 0.5699716806411743,\n \"avg_line_length\": 37.369564056396484,\n \"blob_id\": \"841892913b4807289ee84150833c691f898d6b41\",\n \"content_id\": \"53257f8a8b2d520b773eadedea22082352edbb13\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1765,\n \"license_type\": \"no_license\",\n \"max_line_length\": 127,\n \"num_lines\": 46,\n \"path\": \"/payments_ms/migrations/0001_initial.py\",\n \"repo_name\": \"excursiones/payments\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2 on 2019-05-20 20:56\\n\\nimport django.core.validators\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\n\\n\\nclass Migration(migrations.Migration):\\n\\n initial = True\\n\\n dependencies = [\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='CompanyPayment',\\n fields=[\\n ('id', models.AutoField(primary_key=True, serialize=False)),\\n ('company_id', models.IntegerField()),\\n ('price', models.FloatField(validators=[django.core.validators.MinValueValidator(1)])),\\n ('date', models.DateTimeField(auto_now_add=True)),\\n ('origin_account', models.CharField(max_length=30)),\\n ('destination_account', models.CharField(max_length=30)),\\n ],\\n ),\\n migrations.CreateModel(\\n name='UserPayment',\\n fields=[\\n ('id', models.AutoField(primary_key=True, serialize=False)),\\n ('user_id', models.IntegerField()),\\n ('price', models.FloatField(validators=[django.core.validators.MinValueValidator(1)])),\\n ('date', models.DateTimeField(auto_now_add=True)),\\n ('origin_account', models.CharField(max_length=30)),\\n ('destination_account', models.CharField(max_length=30)),\\n ],\\n ),\\n migrations.CreateModel(\\n name='PaymentRefund',\\n fields=[\\n ('id', models.AutoField(primary_key=True, serialize=False)),\\n ('date', models.DateTimeField(auto_now_add=True)),\\n ('user_payment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='payments_ms.UserPayment')),\\n ],\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.6881463527679443,\n \"alphanum_fraction\": 0.6961018443107605,\n \"avg_line_length\": 37.121212005615234,\n \"blob_id\": \"d7acd92c5d1d4725f92b48816bd8b4a2d8201eb5\",\n \"content_id\": \"4f5129b80d05c6e11ba32a33bc232c8a3e57cb22\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1257,\n \"license_type\": \"no_license\",\n \"max_line_length\": 75,\n \"num_lines\": 33,\n \"path\": \"/payments_ms/models.py\",\n \"repo_name\": \"excursiones/payments\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from djongo import models\\nfrom django.core.validators import MinValueValidator\\n# Create your models here.\\n \\nclass UserPayment(models.Model):\\n id = models.AutoField(primary_key = True)\\n user_id = models.IntegerField()\\n price = models.FloatField(validators=[MinValueValidator(1)])\\n date = models.DateTimeField(auto_now_add=True)\\n origin_account = models.CharField(max_length = 30)\\n destination_account = models.CharField(max_length = 30)\\n\\n def __str__(self):\\n return '{} - ${}'.format(self.user_id, self.price)\\n\\nclass PaymentRefund(models.Model):\\n id = models.AutoField(primary_key = True)\\n user_payment = models.ForeignKey(UserPayment, on_delete=models.CASCADE)\\n date = models.DateTimeField(auto_now_add=True)\\n\\n def __str__(self):\\n return '{}'.format(self.user_payment)\\n\\nclass CompanyPayment(models.Model):\\n id = models.AutoField(primary_key = True)\\n company_id = models.IntegerField()\\n price = models.FloatField(validators=[MinValueValidator(1)])\\n date = models.DateTimeField(auto_now_add=True)\\n origin_account = models.CharField(max_length = 30)\\n destination_account = models.CharField(max_length = 30)\\n\\n def __str__(self):\\n return '{} - ${}'.format(self.company_id, self.price)\"\n },\n {\n \"alpha_fraction\": 0.6669184565544128,\n \"alphanum_fraction\": 0.6737160086631775,\n \"avg_line_length\": 37.764705657958984,\n \"blob_id\": \"948e534450520b4d4104b7e8e657c47853350778\",\n \"content_id\": \"0f28091c36daea1c30275e34e4a336f4e024fbcc\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1324,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 34,\n \"path\": \"/payments_ms/views/user_payment_views.py\",\n \"repo_name\": \"excursiones/payments\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework.response import Response\\nfrom rest_framework.views import APIView\\nfrom django.shortcuts import get_object_or_404\\n\\nfrom ..models import UserPayment\\nfrom ..serializers import UserPaymentSerializer\\n\\nclass UserPaymentView(APIView):\\n def get(self, request):\\n payments = UserPayment.objects.all()\\n payments = list(payments.values())\\n return Response({\\\"Users payments\\\": payments})\\n \\n def post(self, request):\\n payment = request.data.get('user_payment')\\n\\n serializer = UserPaymentSerializer(data=payment)\\n if serializer.is_valid(raise_exception=True):\\n payment_saved = serializer.save()\\n return Response({\\\"User payment creation\\\": \\\"success\\\"})\\n\\n def put(self, request, pk):\\n payment = get_object_or_404(UserPayment.objects.all(), pk=pk)\\n data = request.data.get('user_payment')\\n \\n serializer = UserPaymentSerializer(instance=payment, data=data, partial=True)\\n if serializer.is_valid(raise_exception=True):\\n payment_saved = serializer.save()\\n return Response({\\\"User payment updated\\\": \\\"success\\\"})\\n\\n def delete(self, request, pk):\\n payment = get_object_or_404(UserPayment.objects.all(), pk=pk)\\n payment.delete()\\n return Response({\\\"User payment deleted\\\": \\\"success\\\"})\\n \\n\\n\"\n },\n {\n \"alpha_fraction\": 0.677395761013031,\n \"alphanum_fraction\": 0.6839795112609863,\n \"avg_line_length\": 39.02941131591797,\n \"blob_id\": \"e84bb4d0f4c5b030c5282eb280e486df8a18ce5f\",\n \"content_id\": \"68a92555b87aeac3ad454cbe2bc9db4b19ff333c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1367,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 34,\n \"path\": \"/payments_ms/views/company_payment_views.py\",\n \"repo_name\": \"excursiones/payments\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework.response import Response\\nfrom rest_framework.views import APIView\\nfrom django.shortcuts import get_object_or_404\\n\\nfrom ..models import CompanyPayment\\nfrom ..serializers import CompanyPaymentSerializer\\n\\nclass CompanyPaymentView(APIView):\\n def get(self, request):\\n payments = CompanyPayment.objects.all()\\n payments = list(payments.values())\\n return Response({\\\"Companies payments\\\": payments})\\n \\n def post(self, request):\\n payment = request.data.get('company_payment')\\n\\n serializer = CompanyPaymentSerializer(data=payment)\\n if serializer.is_valid(raise_exception=True):\\n payment_saved = serializer.save()\\n return Response({\\\"Company payment creation\\\": \\\"success\\\"})\\n\\n def put(self, request, pk):\\n payment = get_object_or_404(CompanyPayment.objects.all(), pk=pk)\\n data = request.data.get('company_payment')\\n \\n serializer = CompanyPaymentSerializer(instance=payment, data=data, partial=True)\\n if serializer.is_valid(raise_exception=True):\\n payment_saved = serializer.save()\\n return Response({\\\"Company payment updated\\\": \\\"success\\\"})\\n\\n def delete(self, request, pk):\\n payment = get_object_or_404(CompanyPayment.objects.all(), pk=pk)\\n payment.delete()\\n return Response({\\\"Company payment deleted\\\": \\\"success\\\"})\\n \\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5043227672576904,\n \"alphanum_fraction\": 0.5074927806854248,\n \"avg_line_length\": 41.32926940917969,\n \"blob_id\": \"be6bab7a230f858e3aec6aa1c2671ffae4cc675d\",\n \"content_id\": \"77f5cdc5c00bc0a13523f2c3dbf08c391740a415\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3470,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 82,\n \"path\": \"/payments_ms/serializers.py\",\n \"repo_name\": \"excursiones/payments\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework import serializers\\nfrom rest_framework.validators import UniqueValidator\\nfrom django.shortcuts import get_object_or_404\\nfrom .models import *\\n\\nclass UserPaymentSerializer(serializers.Serializer):\\n user_id = serializers.IntegerField()\\n price = serializers.FloatField()\\n origin_account = serializers.CharField(max_length = 30)\\n destination_account = serializers.CharField(max_length = 30)\\n\\n def create(self, validated_data):\\n return UserPayment.objects.create(**validated_data)\\n\\n def update(self, instance, validated_data):\\n instance.user_id = validated_data.get('user_id', instance.user_id)\\n instance.price = validated_data.get('price', instance.price)\\n instance.origin_account = validated_data.get(\\n 'origin_account',\\n instance.origin_account\\n )\\n instance.destination_account = validated_data.get(\\n 'destination_account',\\n instance.destination_account\\n )\\n\\n instance.save()\\n return instance\\n\\n class Meta:\\n model = UserPayment\\n fields = ('__all__')\\n\\nclass PaymentRefundSerializer(serializers.Serializer):\\n user_payment_id = serializers.IntegerField(validators=[\\n UniqueValidator(\\n queryset=PaymentRefund.objects.all()\\n )\\n ])\\n\\n def create(self, validated_data):\\n return PaymentRefund.objects.create(**validated_data)\\n\\n def update(self, instance, validated_data):\\n instance.user_payment_id = validated_data.get(\\n 'user_payment_id',\\n instance.user_payment_id\\n )\\n instance.save()\\n return instance\\n\\n class Meta:\\n model = PaymentRefund\\n fields = ('__all__')\\n\\nclass CompanyPaymentSerializer(serializers.Serializer):\\n company_id = serializers.IntegerField()\\n price = serializers.FloatField()\\n origin_account = serializers.CharField(max_length = 30)\\n destination_account = serializers.CharField(max_length = 30)\\n\\n def create(self, validated_data):\\n return CompanyPayment.objects.create(**validated_data)\\n\\n def update(self, instance, validated_data):\\n instance.company_id = validated_data.get('company_id', instance.company_id)\\n instance.price = validated_data.get('price', instance.price)\\n instance.origin_account = validated_data.get(\\n 'origin_account',\\n instance.origin_account\\n )\\n instance.destination_account = validated_data.get(\\n 'destination_account',\\n instance.destination_account\\n )\\n\\n instance.save()\\n return instance\\n\\n class Meta:\\n model = CompanyPayment\\n fields = ('__all__')\"\n },\n {\n \"alpha_fraction\": 0.6940726637840271,\n \"alphanum_fraction\": 0.6940726637840271,\n \"avg_line_length\": 31.75,\n \"blob_id\": \"fe2a70b038a9a45ca3b34bad2b68296e7ff5e0d7\",\n \"content_id\": \"a31ac6707832dfb7f8269c7569ab71c917f732c6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 523,\n \"license_type\": \"no_license\",\n \"max_line_length\": 68,\n \"num_lines\": 16,\n \"path\": \"/payments_ms/urls.py\",\n \"repo_name\": \"excursiones/payments\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.urls import path\\n\\nfrom .views import *\\n\\n\\napp_name = \\\"payments_ms\\\"\\n\\n# app_name will help us do a reverse look-up latter.\\nurlpatterns = [\\n path('user_payments/', UserPaymentView.as_view()),\\n path('user_payments/<int:pk>', UserPaymentView.as_view()),\\n path('company_payments/', CompanyPaymentView.as_view()),\\n path('company_payments/<int:pk>', CompanyPaymentView.as_view()),\\n path('payment_refunds/', PaymentRefundView.as_view()),\\n path('payment_refunds/<int:pk>', PaymentRefundView.as_view()),\\n]\"\n },\n {\n \"alpha_fraction\": 0.6087470650672913,\n \"alphanum_fraction\": 0.6176123023033142,\n \"avg_line_length\": 41.32500076293945,\n \"blob_id\": \"2a85ea2fa169f2a1c7ae8d1b01cab544de9de420\",\n \"content_id\": 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id=data['user_payment_id']\\n )\\n\\n serializer = PaymentRefundSerializer(data=data)\\n if serializer.is_valid(raise_exception=True):\\n refund_saved = serializer.save()\\n return Response({\\\"Payment refund creation\\\": \\\"success\\\"})\\n\\n def put(self, request, pk):\\n refund = get_object_or_404(PaymentRefund.objects.all(), pk=pk)\\n data = request.data.get('payment_refund')\\n user_payment = get_object_or_404(UserPayment.objects.all(),\\n id=data['user_payment_id']\\n )\\n\\n serializer = PaymentRefundSerializer(instance=refund, data=data, partial=True)\\n if serializer.is_valid(raise_exception=True):\\n payment_saved = serializer.save()\\n return Response({\\\"Payment refund updated\\\": \\\"success\\\"})\\n\\n def delete(self, request, pk):\\n refund = get_object_or_404(PaymentRefund.objects.all(), pk=pk)\\n refund.delete()\\n return Response({\\\"Payment refund deleted\\\": \\\"success\\\"})\"\n },\n {\n \"alpha_fraction\": 0.7757009267807007,\n \"alphanum_fraction\": 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lwl27/travel_itinerary | https://github.com/lwl27/travel_itinerary | 154b16fd5b8935c4aa2dda16f72d5c96b33f7b0b | ec61604c5bf43349242b1a47e9a3a2c100d671b6 | 76a7a7f3b9dbd5f28604d37bdd7d5751b39f394f | refs/heads/master | 2019-04-30T13:08:13.460541 | 2015-02-23T09:22:31 | 2015-02-23T09:22:31 | 31,193,985 | 0 | 0 | null | null | null | null | null | [
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paulwicking/inventing-games-with-pygame | https://github.com/paulwicking/inventing-games-with-pygame | 8cec12987b0e227ac43488fcb39510ad5db9ade3 | ed1b6254051e08d13e581c76e79999d4c0de5745 | 70962d15574104e27efae42fd63a442ac581f102 | refs/heads/master | 2021-08-18T18:55:15.842816 | 2017-11-23T15:38:31 | 2017-11-23T15:38:31 | null | 0 | 0 | null | null | null | null | null | [
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Helloezzi/python_fileio | https://github.com/Helloezzi/python_fileio | 0d888ab8bc715282f73b2deae0ffac57acda5d55 | 86bb2d1173c5598df0e1d6816f353bd3b860a88d | 25043d256c2d6eceb1c83c2e158ce4f9d25fd08f | refs/heads/master | 2021-01-13T23:35:54.816172 | 2020-02-23T15:12:07 | 2020-02-23T15:12:07 | 242,530,159 | 0 | 0 | null | null | null | null | null | [
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Sangheetha/setupPractice | https://github.com/Sangheetha/setupPractice | 5fb1a0d74e04b3728863fe156164955680cbb8d9 | ef240ef2d60878ae69a249f7e02581ab07aacccb | 99d3faeb729db0d515cf5dee7e3917f58d8ee252 | refs/heads/master | 2020-09-27T22:04:51.506574 | 2016-09-08T04:31:00 | 2016-09-08T04:31:00 | 67,361,597 | 0 | 0 | null | null | null | null | null | [
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khaliliShoja/DynamicProgramming | https://github.com/khaliliShoja/DynamicProgramming | 33aa8de93599fd062089c2226ccf5faa3957f4b8 | 817400e2ba8be5d7e99cd01a8d0cb86ac8380237 | 5e9ccaf442a5e41b61f080f9d05ec41ec11e601d | refs/heads/master | 2021-08-18T23:29:41.676927 | 2017-11-24T06:23:35 | 2017-11-24T06:23:35 | 111,883,169 | 0 | 0 | null | null | null | null | null | [
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ysakpal/FirstGitProject | https://github.com/ysakpal/FirstGitProject | 81891fd5475a9d715b6ba9cb0376b64b727c4f59 | 29fd54acaad61bcffc2268f344e31817a964697b | 345ff1faec43fb3df072e9a6a136d55525082b93 | refs/heads/main | 2023-07-15T21:29:14.914373 | 2021-08-31T07:13:35 | 2021-08-31T07:13:35 | 400,486,710 | 0 | 0 | null | null | null | null | null | [
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arjunsinghy96/practice | https://github.com/arjunsinghy96/practice | 85fa69f982d1740b68b5ad1eb5abec9a19ad1d4f | 48c4d43ab1d3e715481cda3bef4d008eebd3098a | 47da1d5fe93c06bb0dda11365519b7c46be6b087 | refs/heads/master | 2021-09-06T01:02:37.467346 | 2018-02-01T05:19:13 | 2018-02-01T05:19:13 | 114,698,861 | 0 | 0 | null | null | null | null | null | [
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oun1982/gitrepo | https://github.com/oun1982/gitrepo | 89c267b61e2dd555d049a8296b4949a7f1639621 | 73e4b5798f8e0ed805a7ee49d1e54cef2b7b51c1 | 41a9fcc8df963ffb3c58b196d0d5c8053cb08509 | refs/heads/master | 2021-05-09T04:00:33.667791 | 2019-02-24T04:52:56 | 2019-02-24T04:52:56 | 119,258,440 | 0 | 0 | null | null | null | null | null | [
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theeomm/learn-py | https://github.com/theeomm/learn-py | 853bc8d7450ca3da8a4a66981460d514080162fc | a0ef3afa2e38c33991ab124cd2909bf2f744b583 | e7c23c0bc0beec6fee5bd2a65f16a3542b5800b5 | refs/heads/main | 2023-07-26T10:35:27.343694 | 2021-09-14T07:13:53 | 2021-09-14T07:13:53 | 406,260,753 | 0 | 0 | null | null | null | null | null | [
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wasit7/book_pae | https://github.com/wasit7/book_pae | 1815c3a8b9080c44775fcb5567bed65d3d794b19 | c53cca3342593a2769f398db9bf969515d3de117 | 0fc6e9da40341ba3487c1e2a9c3774b93c49a454 | refs/heads/master | 2021-01-15T15:33:04.825530 | 2016-06-30T09:16:41 | 2016-06-30T09:16:41 | 39,626,642 | 0 | 0 | null | null | null | null | null | [
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jgontrum/histogramPostprocessor | https://github.com/jgontrum/histogramPostprocessor | 8ecd21734064e62f4c41173208bf0255c9e49bc2 | a4a39e23a32354ef557a6e23b14d064f4f2ccced | e8c5b720e05e0eb046d239f6b0e284831b6c70c6 | refs/heads/master | 2021-01-20T00:56:41.813034 | 2015-01-04T16:53:31 | 2015-01-04T16:53:31 | 28,779,924 | 0 | 0 | null | null | null | null | null | [
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hitcher24x/learning | https://github.com/hitcher24x/learning | 88b692727d59eef0737de5e3c2b5660c842a7362 | 9aec20bf3cbeefe268cdafff62d491de391970a2 | 6b7426a57a865c6c0dc45da1062230130eadf5dc | refs/heads/master | 2021-05-08T13:02:48.297401 | 2017-11-12T19:43:56 | 2017-11-12T19:43:56 | 119,997,417 | 0 | 0 | null | null | null | null | null | [
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Poet-LiBai/DataAnalysis | https://github.com/Poet-LiBai/DataAnalysis | c8600ba12f5d3da4e2f54b8f79ea6c1047735e07 | 01716ca6c785644bb0337997e45e08e995ee743e | c9b2b7680ed7e833b35aa1eaaff3a31cc3fc444d | refs/heads/main | 2022-12-29T05:21:46.632050 | 2020-10-12T11:09:39 | 2020-10-12T11:09:39 | 303,365,861 | 0 | 0 | null | null | null | null | null | [
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svalabs/training-as-code | https://github.com/svalabs/training-as-code | dce9a383b8b76398a4c7806785cc5b5a210bbc59 | dbcbdbe056e8bd88ccb082501bc3fff08962a1c8 | a3e76477f682a1b4a50276bda623cb27b9b9291c | refs/heads/master | 2023-02-28T00:05:43.383675 | 2021-01-28T11:07:32 | 2021-01-28T11:07:32 | 289,033,327 | 14 | 1 | null | null | null | null | null | [
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rahulvashistha/pythonprojects | https://github.com/rahulvashistha/pythonprojects | c9af34bef14809d4f32eea00a2ba9e2831fdfcb5 | 229b1717bd373f749ebc41a39fbec3c90bd68fa2 | 004965706683557d35d95e1bf56118d2b2cb1bab | refs/heads/main | 2023-07-02T07:08:25.466987 | 2021-08-11T11:17:38 | 2021-08-11T11:17:38 | 394,606,425 | 1 | 0 | null | null | null | null | null | [
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sanaltsk/codepath | https://github.com/sanaltsk/codepath | d7bfae962b8e4be6da7a6f2fb973403051712a89 | a6fc36e64fc26c146103870ac44c928e53c92775 | 34c13025bcaa63e7d45a390a463f701f3e674476 | refs/heads/master | 2020-03-16T03:38:51.702680 | 2018-05-07T17:13:49 | 2018-05-07T17:13:49 | 132,492,082 | 0 | 0 | null | null | null | null | null | [
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arjunfzk/Innovate_AI_workshop | https://github.com/arjunfzk/Innovate_AI_workshop | c9518829d9c5182c1efeb2dec638b4d13c548a5f | a46c21fa95b0ea9b1f7d9ce6683c319b69dfae3d | a0049e5e0cc074fa3cf7b1c68330c4f767ad8e1f | refs/heads/master | 2021-07-05T16:29:55.042037 | 2020-08-22T18:06:56 | 2020-08-22T18:06:56 | 144,022,866 | 0 | 0 | null | null | null | null | null | [
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kingking888/douyin_new | https://github.com/kingking888/douyin_new | f67b97c9342b3ba0f05cdc16512f494077f41683 | 214e9bdea92bd9c8b31f98a6f31dadd595f10f54 | 3f151cf425c023c14ac6b02d6b37e1009bdd5a0b | refs/heads/master | 2021-05-20T08:24:01.090721 | 2020-03-23T03:56:15 | 2020-03-23T03:56:15 | null | 0 | 0 | null | null | null | null | null | [
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emreozdemir0770/pythonexceltopluislem | https://github.com/emreozdemir0770/pythonexceltopluislem | f5c11088d779871d66102b9f6afe86e7bb1bbca1 | de72a4304e0de4223370c9de7c90711d1e4686fb | 18b46da0c42c08a037f689df56abf5c5d8d7f009 | refs/heads/master | 2020-06-22T15:18:30.332905 | 2019-07-19T08:42:34 | 2019-07-19T08:42:34 | 197,736,102 | 2 | 0 | null | null | null | null | null | [
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mazent/SC635A_TEST | https://github.com/mazent/SC635A_TEST | 367b6808c992d5a2c39743f754b4465448cfb63c | 6c028d84167111633aaec652ec1369a4c1b276d5 | 9e1c75f4e6a4633c8653fe78ec98e9b472dfce3b | refs/heads/master | 2020-03-25T04:39:16.436093 | 2018-09-19T14:00:07 | 2018-09-19T14:00:07 | 143,406,366 | 0 | 0 | null | null | null | null | null | [
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azfar-imtiaz/Meetups-Django-project | https://github.com/azfar-imtiaz/Meetups-Django-project | a1c1f42ab30e711812993c57e60d60ec0f374ff3 | 8fb8cbd87d3b16bc209c48d014bff447f3701606 | 9766a9d4b924a66cea000c85c3430aad5a6d9ce0 | refs/heads/master | 2023-07-05T09:53:42.446679 | 2021-08-09T11:37:47 | 2021-08-09T11:37:47 | 393,417,093 | 0 | 0 | null | null | null | null | null | [
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awhiteman625/Minecraft_Repo_6th_AAW | https://github.com/awhiteman625/Minecraft_Repo_6th_AAW | 6b3d27374b973e58350238d2eb2426cf1a847366 | 4e5473f2cf750f3dbe9ef0d0d1e331dd7b8b3bc2 | a196f2c4c18761baca497fb90719a6a60bb5a618 | refs/heads/master | 2021-09-09T11:34:56.343971 | 2018-03-15T18:05:17 | 2018-03-15T18:05:17 | 111,600,050 | 0 | 0 | null | null | null | null | null | [
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Flynston/SHA-1 | https://github.com/Flynston/SHA-1 | ea997c78d268a6b43a3357b7b68ea95da617d0e9 | a93acb8c7d70655c7cc956d4bbf6c6e73df6a007 | e4d3a5c7942d9cae3928fa47e6385367292d84e3 | refs/heads/master | 2016-09-07T19:17:32.578201 | 2014-07-25T10:09:58 | 2014-07-25T10:09:58 | null | 0 | 0 | null | null | null | null | null | [
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gauravinstasafe/com.instasafev2 | https://github.com/gauravinstasafe/com.instasafev2 | 7b0b129d9007ccd450bf6a9b4f96df2351670fcd | 38cef732ab665cf9cfc6175862afba5220065143 | 3f1e29b27587b97595306360f92c8251089c725f | refs/heads/master | 2021-05-10T08:38:07.311462 | 2018-06-28T20:12:39 | 2018-06-28T20:12:39 | 118,897,552 | 0 | 2 | null | null | null | null | null | [
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Bonuseto/webscraping | https://github.com/Bonuseto/webscraping | 8bcfd43696b05e26db870648b06a76595090ae56 | 61139d97ce04ad046ebbdad2b676c91b59e6eed5 | c45a188d02b0822c1ea54b9f19ca91d94c28be61 | refs/heads/main | 2023-06-17T21:53:34.910260 | 2021-07-14T07:32:03 | 2021-07-14T07:32:03 | 385,852,941 | 0 | 0 | null | null | null | null | null | [
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nekvinder/Sudoku-Backend-Python | https://github.com/nekvinder/Sudoku-Backend-Python | b526f8a0e8e0d45efc297d6b95a4db279f42ef7c | 5ef9b9dcc8622acb5e2a69f0de52c34f058fe842 | 842f6cd1d83fb8268770ffdecad9c11a325419dd | refs/heads/master | 2022-12-16T21:35:49.837615 | 2020-09-15T15:44:02 | 2020-09-15T15:44:02 | 295,774,694 | 0 | 0 | null | null | null | null | null | [
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StanislavKraev/jb_code | https://github.com/StanislavKraev/jb_code | 87a08e2acade3688b5da240240c8040b51724525 | 9d178440c130590d2027bca976b54e6a33bc0c6d | 32c5cb32c804ce81679d692fc04963a73857ba1c | refs/heads/master | 2020-12-24T19:36:01.410748 | 2016-04-27T18:16:11 | 2016-04-27T18:16:11 | 57,235,797 | 0 | 0 | null | null | null | null | null | [
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ASudu/Numerical_Analysis | https://github.com/ASudu/Numerical_Analysis | 56bc93da92dc1945cd2e9e5d4b381716a4846c68 | 03a1883b341be072e5775973c3feb85616ebcc2e | 642b7629d6e892710c0f5cce37d7897f63e5ca49 | refs/heads/main | 2023-08-16T06:27:32.497849 | 2021-10-02T12:21:40 | 2021-10-02T12:21:40 | 408,797,539 | 0 | 0 | null | null | null | null | null | [
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kartikcr/React_vs_Vue_vs_Angular | https://github.com/kartikcr/React_vs_Vue_vs_Angular | 230bae7379b5e1f1799556ae4eb147d1b9830363 | cc3b835dc3aace83545dbf0d4ff1a8bea9d47e57 | d79507960a1e0e00df102abf2b4a0c90e2dd9bba | refs/heads/master | 2020-04-28T14:47:20.227441 | 2018-12-01T05:06:11 | 2018-12-01T05:06:11 | 175,348,979 | 0 | 0 | null | null | null | null | null | [
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FredyCerron93/SOM | https://github.com/FredyCerron93/SOM | d583bcd0a4b515a3742b83d4fd71e5ee42c57ef0 | 2307265802647e3d2924097f31f256746311a606 | 5fd3cf4d39b6404b3032af5b8083f0806956c97b | refs/heads/master | 2023-01-21T01:18:30.448413 | 2020-11-29T16:53:50 | 2020-11-29T16:53:50 | 316,997,771 | 0 | 0 | null | null | null | null | null | [
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egmjr/gaffer | https://github.com/egmjr/gaffer | e9c9baf9b380ea642e5b597ac0471b70aefd231f | dbc644255623a032cf6cf66cd594fc33d7c5c2ba | 7d69e7fa8cfd813da03ae6b7c9933b7f89b6b8a9 | refs/heads/master | 2020-04-03T12:00:06.089727 | 2018-05-25T15:42:45 | 2018-05-25T15:42:45 | null | 0 | 0 | null | null | null | null | null | [
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mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases | https://github.com/mjh09/DS-Unit-3-Sprint-2-SQL-and-Databases | 23d2fb99bf3639dc8b375b2435008ba25f5f2b2b | c2555706389e92ff72b5ae19be415c3cfdf9b796 | 841b711243c9ebeb6d1185e2bd6943d2cf3a24b4 | refs/heads/master | 2020-07-03T16:32:59.725261 | 2019-08-17T05:16:06 | 2019-08-17T05:16:06 | 201,970,171 | 0 | 0 | MIT | 2019-08-12T16:40:40 | 2019-03-25T17:58:26 | 2019-08-12T16:39:44 | null | [
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bingyinh/nanomine_xlsx2xml | https://github.com/bingyinh/nanomine_xlsx2xml | d49bbf4a40cd50b9a27857ad7d1eb72e6ec40f44 | def8c962c30abd6c2a947127b5e12784262e4194 | 4a0984e337d969035943b1c960a78a0276c087c3 | refs/heads/master | 2023-07-22T03:57:25.537010 | 2022-10-06T00:56:12 | 2022-10-06T00:56:12 | 134,615,285 | 3 | 0 | null | 2018-05-23T19:17:15 | 2022-11-16T07:29:49 | 2023-07-05T21:40:57 | Python | [
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gotomy/convert-document | https://github.com/gotomy/convert-document | 0bb5b7c9d68cdd6e91e30c0dab8153d6d7539fd0 | c48bb70a4553809d3c6dcace37eceaa355e16ba7 | f64bc7c737105790a56ba9159f34384e4e113e2d | refs/heads/master | 2022-11-11T03:35:56.915260 | 2020-06-26T10:37:14 | 2020-06-26T10:37:14 | null | 0 | 0 | null | null | null | null | null | [
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gbakie/similar_sentences | https://github.com/gbakie/similar_sentences | da21745284697f3fbf478a5bb65b1d858fcda47a | 402d73ca6d260bb0be0e3fc9f16c1a5333287859 | 04c6c72d08842085ad93d071e14e4cac02593491 | refs/heads/master | 2016-08-08T01:56:15.615860 | 2015-03-14T22:26:01 | 2015-03-14T22:26:01 | 32,234,936 | 0 | 0 | null | null | null | null | null | [
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pirr/alt_couch | https://github.com/pirr/alt_couch | 42e81c0f424d8f943fc50b2d002456070d966899 | c690771f729c38ac39041d4fea981b44623a0748 | a25f0f335e336fb47eb67b9ec05a4d480fbbbc49 | refs/heads/master | 2021-06-27T21:56:01.657168 | 2017-09-13T08:27:46 | 2017-09-13T08:27:46 | 103,374,847 | 0 | 0 | null | null | null | null | null | [
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yalmeidarj/blackjack | https://github.com/yalmeidarj/blackjack | 0bf1aec1093d712538a75136f03a78a7644a6992 | 36d4bb07babb47198723e8fae1b59989497111da | 041b538944fcd6ca5637d27a87e5e249c28d97f0 | refs/heads/master | 2023-08-05T16:51:08.593981 | 2021-10-11T11:52:46 | 2021-10-11T11:52:46 | 408,614,031 | 0 | 0 | null | null | null | null | null | [
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DragosNicuDev/myhub | https://github.com/DragosNicuDev/myhub | 51ad48bf2bc8694ca8fb2e7dbc5c934191377f3e | 00f915b92b5cb7afd571811c5e020cfe9dcbb3ea | ce51ded676c92eaf490b87aa1d278a7a17a9bb9a | refs/heads/master | 2023-01-10T16:03:38.800145 | 2018-02-10T13:51:57 | 2018-02-10T13:51:57 | 119,671,132 | 1 | 0 | MIT | 2018-01-31T10:16:43 | 2018-02-11T19:07:18 | 2022-12-26T20:36:58 | CSS | [
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restran/mountains | https://github.com/restran/mountains | 1b3844ad27d569c0ed21d382d8f85d4424c0e098 | e95a2640074b82df6d5e8f3cf45e877dfcb0a648 | e1cd3482db05af69c8aceaa2fec0bde6e043e5cf | refs/heads/master | 2022-06-14T17:00:17.053156 | 2022-05-16T15:23:14 | 2022-05-16T15:23:14 | 101,150,874 | 5 | 0 | null | null | null | null | null | [
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ismael094/Practicas | https://github.com/ismael094/Practicas | dbba987c273cc0f9a55abe67f5c98464d7a7583e | 0b09c1435528e3e9edd021250baa56a0d2a5bd89 | ef6d885b0ab90beb4f78f6e5cec1cfce5fc9c325 | refs/heads/master | 2021-01-01T05:10:31.209086 | 2016-04-12T05:05:31 | 2016-04-12T05:05:31 | 56,043,910 | 0 | 0 | null | null | null | null | null | [
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Niranj1997/atm-application | https://github.com/Niranj1997/atm-application | 694b7eb24107ee490aa8ed61e1b0f21fdefe7630 | ba191e909ee88fd000ed8b61182d716fdcfb33b9 | 55e8c11f04e184d206a8436dc03535e1cd977e1d | refs/heads/master | 2022-06-19T21:10:11.999727 | 2020-05-06T14:56:35 | 2020-05-06T14:56:35 | 261,789,873 | 0 | 0 | null | null | null | null | null | [
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Anand-Sagar28/SpaceInvader | https://github.com/Anand-Sagar28/SpaceInvader | 2a28a01cf1d959571f472521a8a9e02efe3c325d | b6f45d00b877af60e091cea0cd469a93b26380ff | fcebd9bf2fd87c90ed242f3efbc2afc1061ab0ce | refs/heads/main | 2023-07-19T18:20:09.554187 | 2021-09-09T02:50:33 | 2021-09-09T02:50:33 | 403,198,961 | 0 | 0 | null | null | null | null | null | [
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mrjm/whcll-py | https://github.com/mrjm/whcll-py | d574474c2e7cdc7a67b3dd879632ebb5769f885c | 2a7b28d0f83438a4a9cb7de74d00dbd7624bf8df | 552e87be4b468508acabd84488bae4841d74d4d3 | refs/heads/master | 2015-08-10T12:38:40.898203 | 2014-11-29T13:53:57 | 2014-11-29T13:53:57 | null | 0 | 0 | null | null | null | null | null | [
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ZEPORATH/faceRecognizer | https://github.com/ZEPORATH/faceRecognizer | 406d9e8e5da4c635dc86c4b59c8f28fb169665e1 | d832b786bc50fb9d33cf9afe1591ada83792ed2f | 60596edfd447aaef4f9fe4fc0c38b4990dbfdfd6 | refs/heads/master | 2021-07-07T02:07:06.581506 | 2017-10-01T14:49:10 | 2017-10-01T14:49:10 | 105,448,955 | 0 | 0 | null | null | null | null | null | [
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KamilB91/haccp-control-system | https://github.com/KamilB91/haccp-control-system | 9b163faeb85137ddc5aa0f0b3eb029aad7aadc6d | 382526b5f1e7cd95fa31bb3d6c3da7f616542784 | 657bca99c0fe7772bdd13317e9bad870a549068b | refs/heads/main | 2023-02-05T08:29:34.316104 | 2020-12-09T05:46:43 | 2020-12-09T05:46:43 | 313,834,053 | 0 | 0 | null | null | null | null | null | [
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cybersg/seemp | https://github.com/cybersg/seemp | 7e9546cd31b5cccec6218d38734735db0b4312d4 | aa46f09933ad71f143e745cc2f127619a3a45c8c | c962d4a3bac2aa1537bd6981e4040c16c73eca9f | refs/heads/master | 2015-08-23T06:23:21.799484 | 2015-04-14T21:53:39 | 2015-04-14T21:53:39 | 33,958,852 | 0 | 0 | null | null | null | null | null | [
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pertschuk/fairseq | https://github.com/pertschuk/fairseq | 1a3f75a17de99b6c3d15305b02920b7773fa2f30 | 114056fcef3929cb19baa123eed17808fd269897 | 3b3f5545ca0e743c83462acc0ee33e08a5e75309 | refs/heads/master | 2020-07-05T09:52:04.432059 | 2019-09-05T15:50:27 | 2019-09-05T15:50:27 | 202,614,699 | 0 | 0 | MIT | 2019-08-15T21:37:02 | 2019-08-15T21:26:10 | 2019-08-15T21:26:04 | null | [
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ArunMorampudi/employee_api | https://github.com/ArunMorampudi/employee_api | 2ca105b8db939fcb1837530522e5d031c110353c | 9723cf24e625607d419d4f7a7146a8d1cca48d71 | 2e7b97c568521d1e257698a842de7dffe66b8898 | refs/heads/master | 2020-04-07T01:00:39.501335 | 2018-11-16T22:18:07 | 2018-11-16T22:18:07 | 157,927,448 | 0 | 0 | null | null | null | null | null | [
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SpeedSourceLAB/Calculator-PyTestProject | https://github.com/SpeedSourceLAB/Calculator-PyTestProject | cbd5a35502e85bfe50ed952b1889cee526a6cd7c | 79225f8515ad25859795f37405a1598324a81d21 | 110bdb12941c128da66f8e432da02f119f0560c2 | refs/heads/main | 2023-08-07T05:21:38.585765 | 2021-09-20T17:41:10 | 2021-09-20T17:41:10 | 408,537,989 | 0 | 0 | null | null | null | null | null | [
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mambocab/algorithms | https://github.com/mambocab/algorithms | f70f775e4b506bcedf38981b73f3ca957f82b75a | c90b97dee03e7399b75249d196992f9d9191546b | 1b290bb49af52b8e2cc4fc046df0ddc9894064e1 | refs/heads/master | 2021-01-15T10:13:01.458501 | 2015-01-14T15:50:04 | 2015-01-14T15:50:04 | 28,716,830 | 0 | 0 | null | 2015-01-02T15:17:22 | 2015-01-02T14:29:14 | 2014-12-29T16:55:10 | null | [
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heweiyou/Crawer | https://github.com/heweiyou/Crawer | 3cc0da8a0ed273521531be2490e8e873f44a175a | d0579c8da9a0ba301353366c5a1ee6a137b03650 | 71e790dbc5c6de73e4ba48a16d9e2883a38d750a | refs/heads/master | 2021-01-09T20:14:39.790706 | 2016-07-23T09:55:42 | 2016-07-23T09:55:42 | 64,010,005 | 0 | 0 | null | null | null | null | null | [
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erlinvan/oving6 | https://github.com/erlinvan/oving6 | 9c58133340b578419561fd1cff9452711ca4ccea | de2efa81083aed7d1b0aadaefe83370e95e8051a | 202caa4e5aba0059306c41eded30ee9a5f193773 | refs/heads/master | 2020-04-03T22:24:56.497538 | 2018-11-13T14:04:34 | 2018-11-13T14:04:34 | 155,599,653 | 0 | 0 | null | null | null | null | null | [
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carolinedlu/test_host_name | https://github.com/carolinedlu/test_host_name | 441b33f841a0030432564dbe4b7fa4d9f80b7a93 | 3829104c059b68bd882f516b41cce7600e43c580 | 901d6fa1d498bc465d2d3409e05ee9e17cc5136d | refs/heads/main | 2023-06-11T22:05:20.342024 | 2021-07-09T18:33:35 | 2021-07-09T18:33:35 | 383,599,507 | 0 | 1 | null | null | null | null | null | [
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DigimundoTesca/cristobal-poll | https://github.com/DigimundoTesca/cristobal-poll | c7644342924b73664ac4407e7917c12dd0509959 | a5c7d180379a7d9ae3d5272409d4a37284c0649f | 8d463d34a5a2e3dec6e25d2a99a1e057dba3ad0f | refs/heads/master | 2021-01-18T16:57:11.622800 | 2017-08-16T11:31:57 | 2017-08-16T11:31:57 | 100,478,092 | 0 | 0 | null | null | null | null | null | [
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aayushdhakad/Fantasy-Cricket | https://github.com/aayushdhakad/Fantasy-Cricket | 255088c52484f5eec147c5a128a2361e91ad5802 | f41aa047482e43451d9322ed4f3a4db2d2848ee8 | 61360f1f34835e9ac1ef8eaa630c06e7c430470e | refs/heads/main | 2023-03-02T19:45:39.174072 | 2021-02-14T10:31:02 | 2021-02-14T10:31:02 | 338,779,376 | 0 | 0 | null | null | null | null | null | [
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olafurjohannsson/cpp-concurrency | https://github.com/olafurjohannsson/cpp-concurrency | 71c3a8a518e4b46574ec999c299e66b2a561566d | 47fa0967868ae6c6723f030f9b654373ae15155c | 19337b42a299e5b27a91c167340ffd5f62181eaf | refs/heads/master | 2021-05-03T13:32:25.790487 | 2017-01-22T11:59:42 | 2017-01-22T11:59:42 | 72,210,100 | 0 | 0 | null | null | null | null | null | [
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EzraCerpac/SatLink | https://github.com/EzraCerpac/SatLink | 582f6240d2813525fba76c9a624b2336748f8043 | d5da25d8f287ea25a7da6e91eed8b435ed8416f1 | db7a5051df721ff0f255df605380ad95d82abbcf | refs/heads/main | 2023-08-25T20:32:38.885754 | 2021-09-02T19:04:22 | 2021-09-02T19:04:22 | 413,519,242 | 0 | 0 | MIT | 2021-10-04T17:23:41 | 2021-09-02T19:04:25 | 2021-09-02T19:04:22 | null | [
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Mik-el/Data-Mining-in-Python-Examples | https://github.com/Mik-el/Data-Mining-in-Python-Examples | 3475f78c258c6f59caf924adf4155a5ca71f4d33 | 0e2de252107d79e1e44d9b0980d2e2c375869ed5 | 521ca19aa255fb1c7fceba08043ed54866c24fe2 | refs/heads/master | 2022-12-02T19:26:39.944543 | 2020-08-04T15:33:06 | 2020-08-04T15:33:06 | 243,300,935 | 1 | 0 | null | null | null | null | null | [
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dikshantraj09/Shutdown-Over-the-Internet- | https://github.com/dikshantraj09/Shutdown-Over-the-Internet- | 4ecf3743a0df1ff8273dcff4d1fd15943129c714 | 79c0e9aa9febc4e1acec445a42b42644cf5086d6 | be4c2c7ef4b535e66329863d215caad155f748dc | refs/heads/master | 2022-11-10T13:03:58.716806 | 2020-06-22T14:07:53 | 2020-06-22T14:07:53 | 266,693,714 | 0 | 0 | null | null | null | null | null | [
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Yugdeep1996/First | https://github.com/Yugdeep1996/First | 8f7fe377895ffea32858e022c2fb2c1b6437974e | 90df7671c0a2781e2c3faefeb5a994a67f50167e | 73a2795b002e39f2281592364d68e3bcd393097e | refs/heads/master | 2023-08-16T11:03:27.162483 | 2021-09-14T07:32:11 | 2021-09-14T07:32:11 | 406,264,378 | 0 | 0 | null | null | null | null | null | [
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em-git/Games | https://github.com/em-git/Games | 84248c2ccf8629c623de1ae32c3aa9349d67a728 | e4f7eccc60ecc9dec38b2d3a6986851e2498d07f | 292d2bf0bd65c28d127756b6389dd4761783f6b3 | refs/heads/master | 2020-05-03T03:21:14.939866 | 2019-03-29T14:11:00 | 2019-03-29T14:11:00 | 121,367,134 | 0 | 0 | null | null | null | null | null | [
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excursiones/payments | https://github.com/excursiones/payments | bbfd97255273967f90c0f065e71e1af2a10460b6 | ce4215e599fb3240c40e0133899abbf78d09ea3a | daa6c31f5177f6622876ae59e67bc61a658e656e | refs/heads/master | 2022-05-18T10:47:49.394075 | 2019-05-26T17:42:28 | 2019-05-26T17:42:28 | 188,713,869 | 0 | 0 | null | 2019-05-26T17:44:10 | 2019-05-26T17:44:45 | 2022-04-22T21:19:47 | Python | [
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