xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

1ce26c983b25795b8344d1afedd8fab6e03cc8ff

463

py

Python

src/BearSki/utils/errors.py

Sirius1942/BearSki

bdc75d6f06946896e2128f1c095b9baf9863b124

[ "MIT" ]

13

2019-12-10T09:07:45.000Z

2021-09-08T01:24:22.000Z

src/BearSki/utils/errors.py

Sirius1942/BearSki

bdc75d6f06946896e2128f1c095b9baf9863b124

[ "MIT" ]

1

2020-05-06T01:43:50.000Z

2020-05-06T01:44:46.000Z

build/lib/BearSki/utils/errors.py

Sirius1942/BearSki

bdc75d6f06946896e2128f1c095b9baf9863b124

[ "MIT" ]

6

2020-01-07T07:07:42.000Z

2021-06-04T03:38:19.000Z

#获取参数异常 class ArgmentError(Exception): def __init__(self, expression, message): self.expression = expression self.message = message #读取配置文件异常 class SettingFileError(Exception): def __init__(self, expression, message): self.expression = expression self.message = message class DataBaseError(Exception): def __init__(self, expression, message): self.expression = expression self.message = message

20.130435

44

0.688985

44

463

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0.272727

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0.156352

0.19544

0.771987

0

0.228942

463

22

45

21.045455

0.859944

0.030238

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false

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1

0

null

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1

0

9

1ce9691c438083a52850c38dd26867a1d4a1ae2a

320,510

py

Python

vistrails/db/versions/v0_9_5/domain/auto_gen.py

remram44/VisTrails-mybinder

ee7477b471920d738f3ac430932f01901b56ed44

[ "BSD-3-Clause" ]

83

2015-01-05T14:50:50.000Z

2021-09-17T19:45:26.000Z

vistrails/db/versions/v0_9_5/domain/auto_gen.py

remram44/VisTrails-mybinder

ee7477b471920d738f3ac430932f01901b56ed44

[ "BSD-3-Clause" ]

254

2015-01-02T20:39:19.000Z

2018-11-28T17:16:44.000Z

vistrails/db/versions/v0_9_5/domain/auto_gen.py

remram44/VisTrails-mybinder

ee7477b471920d738f3ac430932f01901b56ed44

[ "BSD-3-Clause" ]

40

2015-04-17T16:46:36.000Z

2021-09-28T22:43:24.000Z

############################################################################### ## ## Copyright (C) 2014-2016, New York University. ## Copyright (C) 2011-2014, NYU-Poly. ## Copyright (C) 2006-2011, University of Utah. ## All rights reserved. ## Contact: contact@vistrails.org ## ## This file is part of VisTrails. ## ## "Redistribution and use in source and binary forms, with or without ## modification, are permitted provided that the following conditions are met: ## ## - Redistributions of source code must retain the above copyright notice, ## this list of conditions and the following disclaimer. ## - Redistributions in binary form must reproduce the above copyright ## notice, this list of conditions and the following disclaimer in the ## documentation and/or other materials provided with the distribution. ## - Neither the name of the New York University nor the names of its ## contributors may be used to endorse or promote products derived from ## this software without specific prior written permission. ## ## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" ## AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ## THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR ## PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR ## CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, ## EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, ## PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; ## OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, ## WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR ## OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ## ADVISED OF THE POSSIBILITY OF SUCH DAMAGE." ## ############################################################################### """generated automatically by auto_dao.py""" from __future__ import division import copy class DBPortSpec(object): vtType = 'portSpec' def __init__(self, id=None, name=None, type=None, optional=None, sort_key=None, sigstring=None): self._db_id = id self._db_name = name self._db_type = type self._db_optional = optional self._db_sort_key = sort_key self._db_sigstring = sigstring self.is_dirty = True self.is_new = True def __copy__(self): return DBPortSpec.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBPortSpec(id=self._db_id, name=self._db_name, type=self._db_type, optional=self._db_optional, sort_key=self._db_sort_key, sigstring=self._db_sigstring) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBPortSpec() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'type' in class_dict: res = class_dict['type'](old_obj, trans_dict) new_obj.db_type = res elif hasattr(old_obj, 'db_type') and old_obj.db_type is not None: new_obj.db_type = old_obj.db_type if 'optional' in class_dict: res = class_dict['optional'](old_obj, trans_dict) new_obj.db_optional = res elif hasattr(old_obj, 'db_optional') and old_obj.db_optional is not None: new_obj.db_optional = old_obj.db_optional if 'sort_key' in class_dict: res = class_dict['sort_key'](old_obj, trans_dict) new_obj.db_sort_key = res elif hasattr(old_obj, 'db_sort_key') and old_obj.db_sort_key is not None: new_obj.db_sort_key = old_obj.db_sort_key if 'sigstring' in class_dict: res = class_dict['sigstring'](old_obj, trans_dict) new_obj.db_sigstring = res elif hasattr(old_obj, 'db_sigstring') and old_obj.db_sigstring is not None: new_obj.db_sigstring = old_obj.db_sigstring new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_type(self): return self._db_type def __set_db_type(self, type): self._db_type = type self.is_dirty = True db_type = property(__get_db_type, __set_db_type) def db_add_type(self, type): self._db_type = type def db_change_type(self, type): self._db_type = type def db_delete_type(self, type): self._db_type = None def __get_db_optional(self): return self._db_optional def __set_db_optional(self, optional): self._db_optional = optional self.is_dirty = True db_optional = property(__get_db_optional, __set_db_optional) def db_add_optional(self, optional): self._db_optional = optional def db_change_optional(self, optional): self._db_optional = optional def db_delete_optional(self, optional): self._db_optional = None def __get_db_sort_key(self): return self._db_sort_key def __set_db_sort_key(self, sort_key): self._db_sort_key = sort_key self.is_dirty = True db_sort_key = property(__get_db_sort_key, __set_db_sort_key) def db_add_sort_key(self, sort_key): self._db_sort_key = sort_key def db_change_sort_key(self, sort_key): self._db_sort_key = sort_key def db_delete_sort_key(self, sort_key): self._db_sort_key = None def __get_db_sigstring(self): return self._db_sigstring def __set_db_sigstring(self, sigstring): self._db_sigstring = sigstring self.is_dirty = True db_sigstring = property(__get_db_sigstring, __set_db_sigstring) def db_add_sigstring(self, sigstring): self._db_sigstring = sigstring def db_change_sigstring(self, sigstring): self._db_sigstring = sigstring def db_delete_sigstring(self, sigstring): self._db_sigstring = None def getPrimaryKey(self): return self._db_id class DBModule(object): vtType = 'module' def __init__(self, id=None, cache=None, name=None, namespace=None, package=None, version=None, tag=None, location=None, functions=None, annotations=None, portSpecs=None): self._db_id = id self._db_cache = cache self._db_name = name self._db_namespace = namespace self._db_package = package self._db_version = version self._db_tag = tag self.db_deleted_location = [] self._db_location = location self.db_deleted_functions = [] self.db_functions_id_index = {} if functions is None: self._db_functions = [] else: self._db_functions = functions for v in self._db_functions: self.db_functions_id_index[v.db_id] = v self.db_deleted_annotations = [] self.db_annotations_id_index = {} self.db_annotations_key_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_annotations_key_index[v.db_key] = v self.db_deleted_portSpecs = [] self.db_portSpecs_id_index = {} self.db_portSpecs_name_index = {} if portSpecs is None: self._db_portSpecs = [] else: self._db_portSpecs = portSpecs for v in self._db_portSpecs: self.db_portSpecs_id_index[v.db_id] = v self.db_portSpecs_name_index[(v.db_name,v.db_type)] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBModule.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBModule(id=self._db_id, cache=self._db_cache, name=self._db_name, namespace=self._db_namespace, package=self._db_package, version=self._db_version, tag=self._db_tag) if self._db_location is not None: cp._db_location = self._db_location.do_copy(new_ids, id_scope, id_remap) if self._db_functions is None: cp._db_functions = [] else: cp._db_functions = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_functions] if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] if self._db_portSpecs is None: cp._db_portSpecs = [] else: cp._db_portSpecs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_portSpecs] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_functions_id_index = dict((v.db_id, v) for v in cp._db_functions) cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_annotations_key_index = dict((v.db_key, v) for v in cp._db_annotations) cp.db_portSpecs_id_index = dict((v.db_id, v) for v in cp._db_portSpecs) cp.db_portSpecs_name_index = dict(((v.db_name,v.db_type), v) for v in cp._db_portSpecs) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBModule() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'cache' in class_dict: res = class_dict['cache'](old_obj, trans_dict) new_obj.db_cache = res elif hasattr(old_obj, 'db_cache') and old_obj.db_cache is not None: new_obj.db_cache = old_obj.db_cache if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'namespace' in class_dict: res = class_dict['namespace'](old_obj, trans_dict) new_obj.db_namespace = res elif hasattr(old_obj, 'db_namespace') and old_obj.db_namespace is not None: new_obj.db_namespace = old_obj.db_namespace if 'package' in class_dict: res = class_dict['package'](old_obj, trans_dict) new_obj.db_package = res elif hasattr(old_obj, 'db_package') and old_obj.db_package is not None: new_obj.db_package = old_obj.db_package if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'tag' in class_dict: res = class_dict['tag'](old_obj, trans_dict) new_obj.db_tag = res elif hasattr(old_obj, 'db_tag') and old_obj.db_tag is not None: new_obj.db_tag = old_obj.db_tag if 'location' in class_dict: res = class_dict['location'](old_obj, trans_dict) new_obj.db_location = res elif hasattr(old_obj, 'db_location') and old_obj.db_location is not None: obj = old_obj.db_location new_obj.db_add_location(DBLocation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_location') and hasattr(new_obj, 'db_deleted_location'): for obj in old_obj.db_deleted_location: n_obj = DBLocation.update_version(obj, trans_dict) new_obj.db_deleted_location.append(n_obj) if 'functions' in class_dict: res = class_dict['functions'](old_obj, trans_dict) for obj in res: new_obj.db_add_function(obj) elif hasattr(old_obj, 'db_functions') and old_obj.db_functions is not None: for obj in old_obj.db_functions: new_obj.db_add_function(DBFunction.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_functions') and hasattr(new_obj, 'db_deleted_functions'): for obj in old_obj.db_deleted_functions: n_obj = DBFunction.update_version(obj, trans_dict) new_obj.db_deleted_functions.append(n_obj) if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) if 'portSpecs' in class_dict: res = class_dict['portSpecs'](old_obj, trans_dict) for obj in res: new_obj.db_add_portSpec(obj) elif hasattr(old_obj, 'db_portSpecs') and old_obj.db_portSpecs is not None: for obj in old_obj.db_portSpecs: new_obj.db_add_portSpec(DBPortSpec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_portSpecs') and hasattr(new_obj, 'db_deleted_portSpecs'): for obj in old_obj.db_deleted_portSpecs: n_obj = DBPortSpec.update_version(obj, trans_dict) new_obj.db_deleted_portSpecs.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] if self._db_location is not None: children.extend(self._db_location.db_children((self.vtType, self.db_id), orphan)) if orphan: self._db_location = None to_del = [] for child in self.db_functions: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_function(child) to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) to_del = [] for child in self.db_portSpecs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_portSpec(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_location) children.extend(self.db_deleted_functions) children.extend(self.db_deleted_annotations) children.extend(self.db_deleted_portSpecs) if remove: self.db_deleted_location = [] self.db_deleted_functions = [] self.db_deleted_annotations = [] self.db_deleted_portSpecs = [] return children def has_changes(self): if self.is_dirty: return True if self._db_location is not None and self._db_location.has_changes(): return True for child in self._db_functions: if child.has_changes(): return True for child in self._db_annotations: if child.has_changes(): return True for child in self._db_portSpecs: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_cache(self): return self._db_cache def __set_db_cache(self, cache): self._db_cache = cache self.is_dirty = True db_cache = property(__get_db_cache, __set_db_cache) def db_add_cache(self, cache): self._db_cache = cache def db_change_cache(self, cache): self._db_cache = cache def db_delete_cache(self, cache): self._db_cache = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_namespace(self): return self._db_namespace def __set_db_namespace(self, namespace): self._db_namespace = namespace self.is_dirty = True db_namespace = property(__get_db_namespace, __set_db_namespace) def db_add_namespace(self, namespace): self._db_namespace = namespace def db_change_namespace(self, namespace): self._db_namespace = namespace def db_delete_namespace(self, namespace): self._db_namespace = None def __get_db_package(self): return self._db_package def __set_db_package(self, package): self._db_package = package self.is_dirty = True db_package = property(__get_db_package, __set_db_package) def db_add_package(self, package): self._db_package = package def db_change_package(self, package): self._db_package = package def db_delete_package(self, package): self._db_package = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_tag(self): return self._db_tag def __set_db_tag(self, tag): self._db_tag = tag self.is_dirty = True db_tag = property(__get_db_tag, __set_db_tag) def db_add_tag(self, tag): self._db_tag = tag def db_change_tag(self, tag): self._db_tag = tag def db_delete_tag(self, tag): self._db_tag = None def __get_db_location(self): return self._db_location def __set_db_location(self, location): self._db_location = location self.is_dirty = True db_location = property(__get_db_location, __set_db_location) def db_add_location(self, location): self._db_location = location def db_change_location(self, location): self._db_location = location def db_delete_location(self, location): if not self.is_new: self.db_deleted_location.append(self._db_location) self._db_location = None def __get_db_functions(self): return self._db_functions def __set_db_functions(self, functions): self._db_functions = functions self.is_dirty = True db_functions = property(__get_db_functions, __set_db_functions) def db_get_functions(self): return self._db_functions def db_add_function(self, function): self.is_dirty = True self._db_functions.append(function) self.db_functions_id_index[function.db_id] = function def db_change_function(self, function): self.is_dirty = True found = False for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == function.db_id: self._db_functions[i] = function found = True break if not found: self._db_functions.append(function) self.db_functions_id_index[function.db_id] = function def db_delete_function(self, function): self.is_dirty = True for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == function.db_id: if not self._db_functions[i].is_new: self.db_deleted_functions.append(self._db_functions[i]) del self._db_functions[i] break del self.db_functions_id_index[function.db_id] def db_get_function(self, key): for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == key: return self._db_functions[i] return None def db_get_function_by_id(self, key): return self.db_functions_id_index[key] def db_has_function_with_id(self, key): return key in self.db_functions_id_index def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] del self.db_annotations_key_index[annotation.db_key] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def db_get_annotation_by_key(self, key): return self.db_annotations_key_index[key] def db_has_annotation_with_key(self, key): return key in self.db_annotations_key_index def __get_db_portSpecs(self): return self._db_portSpecs def __set_db_portSpecs(self, portSpecs): self._db_portSpecs = portSpecs self.is_dirty = True db_portSpecs = property(__get_db_portSpecs, __set_db_portSpecs) def db_get_portSpecs(self): return self._db_portSpecs def db_add_portSpec(self, portSpec): self.is_dirty = True self._db_portSpecs.append(portSpec) self.db_portSpecs_id_index[portSpec.db_id] = portSpec self.db_portSpecs_name_index[(portSpec.db_name,portSpec.db_type)] = portSpec def db_change_portSpec(self, portSpec): self.is_dirty = True found = False for i in xrange(len(self._db_portSpecs)): if self._db_portSpecs[i].db_id == portSpec.db_id: self._db_portSpecs[i] = portSpec found = True break if not found: self._db_portSpecs.append(portSpec) self.db_portSpecs_id_index[portSpec.db_id] = portSpec self.db_portSpecs_name_index[(portSpec.db_name,portSpec.db_type)] = portSpec def db_delete_portSpec(self, portSpec): self.is_dirty = True for i in xrange(len(self._db_portSpecs)): if self._db_portSpecs[i].db_id == portSpec.db_id: if not self._db_portSpecs[i].is_new: self.db_deleted_portSpecs.append(self._db_portSpecs[i]) del self._db_portSpecs[i] break del self.db_portSpecs_id_index[portSpec.db_id] del self.db_portSpecs_name_index[(portSpec.db_name,portSpec.db_type)] def db_get_portSpec(self, key): for i in xrange(len(self._db_portSpecs)): if self._db_portSpecs[i].db_id == key: return self._db_portSpecs[i] return None def db_get_portSpec_by_id(self, key): return self.db_portSpecs_id_index[key] def db_has_portSpec_with_id(self, key): return key in self.db_portSpecs_id_index def db_get_portSpec_by_name(self, key): return self.db_portSpecs_name_index[key] def db_has_portSpec_with_name(self, key): return key in self.db_portSpecs_name_index def getPrimaryKey(self): return self._db_id class DBModuleDescriptor(object): vtType = 'module_descriptor' def __init__(self, id=None, name=None, package=None, namespace=None, version=None, base_descriptor_id=None, portSpecs=None): self._db_id = id self._db_name = name self._db_package = package self._db_namespace = namespace self._db_version = version self._db_base_descriptor_id = base_descriptor_id self.db_deleted_portSpecs = [] self.db_portSpecs_id_index = {} self.db_portSpecs_name_index = {} if portSpecs is None: self._db_portSpecs = [] else: self._db_portSpecs = portSpecs for v in self._db_portSpecs: self.db_portSpecs_id_index[v.db_id] = v self.db_portSpecs_name_index[(v.db_name,v.db_type)] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBModuleDescriptor.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBModuleDescriptor(id=self._db_id, name=self._db_name, package=self._db_package, namespace=self._db_namespace, version=self._db_version, base_descriptor_id=self._db_base_descriptor_id) if self._db_portSpecs is None: cp._db_portSpecs = [] else: cp._db_portSpecs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_portSpecs] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_base_descriptor_id') and ('module_descriptor', self._db_base_descriptor_id) in id_remap: cp._db_base_descriptor_id = id_remap[('module_descriptor', self._db_base_descriptor_id)] # recreate indices and set flags cp.db_portSpecs_id_index = dict((v.db_id, v) for v in cp._db_portSpecs) cp.db_portSpecs_name_index = dict(((v.db_name,v.db_type), v) for v in cp._db_portSpecs) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBModuleDescriptor() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'package' in class_dict: res = class_dict['package'](old_obj, trans_dict) new_obj.db_package = res elif hasattr(old_obj, 'db_package') and old_obj.db_package is not None: new_obj.db_package = old_obj.db_package if 'namespace' in class_dict: res = class_dict['namespace'](old_obj, trans_dict) new_obj.db_namespace = res elif hasattr(old_obj, 'db_namespace') and old_obj.db_namespace is not None: new_obj.db_namespace = old_obj.db_namespace if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'base_descriptor_id' in class_dict: res = class_dict['base_descriptor_id'](old_obj, trans_dict) new_obj.db_base_descriptor_id = res elif hasattr(old_obj, 'db_base_descriptor_id') and old_obj.db_base_descriptor_id is not None: new_obj.db_base_descriptor_id = old_obj.db_base_descriptor_id if 'portSpecs' in class_dict: res = class_dict['portSpecs'](old_obj, trans_dict) for obj in res: new_obj.db_add_portSpec(obj) elif hasattr(old_obj, 'db_portSpecs') and old_obj.db_portSpecs is not None: for obj in old_obj.db_portSpecs: new_obj.db_add_portSpec(DBPortSpec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_portSpecs') and hasattr(new_obj, 'db_deleted_portSpecs'): for obj in old_obj.db_deleted_portSpecs: n_obj = DBPortSpec.update_version(obj, trans_dict) new_obj.db_deleted_portSpecs.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_portSpecs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_portSpec(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_portSpecs) if remove: self.db_deleted_portSpecs = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_portSpecs: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_package(self): return self._db_package def __set_db_package(self, package): self._db_package = package self.is_dirty = True db_package = property(__get_db_package, __set_db_package) def db_add_package(self, package): self._db_package = package def db_change_package(self, package): self._db_package = package def db_delete_package(self, package): self._db_package = None def __get_db_namespace(self): return self._db_namespace def __set_db_namespace(self, namespace): self._db_namespace = namespace self.is_dirty = True db_namespace = property(__get_db_namespace, __set_db_namespace) def db_add_namespace(self, namespace): self._db_namespace = namespace def db_change_namespace(self, namespace): self._db_namespace = namespace def db_delete_namespace(self, namespace): self._db_namespace = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_base_descriptor_id(self): return self._db_base_descriptor_id def __set_db_base_descriptor_id(self, base_descriptor_id): self._db_base_descriptor_id = base_descriptor_id self.is_dirty = True db_base_descriptor_id = property(__get_db_base_descriptor_id, __set_db_base_descriptor_id) def db_add_base_descriptor_id(self, base_descriptor_id): self._db_base_descriptor_id = base_descriptor_id def db_change_base_descriptor_id(self, base_descriptor_id): self._db_base_descriptor_id = base_descriptor_id def db_delete_base_descriptor_id(self, base_descriptor_id): self._db_base_descriptor_id = None def __get_db_portSpecs(self): return self._db_portSpecs def __set_db_portSpecs(self, portSpecs): self._db_portSpecs = portSpecs self.is_dirty = True db_portSpecs = property(__get_db_portSpecs, __set_db_portSpecs) def db_get_portSpecs(self): return self._db_portSpecs def db_add_portSpec(self, portSpec): self.is_dirty = True self._db_portSpecs.append(portSpec) self.db_portSpecs_id_index[portSpec.db_id] = portSpec self.db_portSpecs_name_index[(portSpec.db_name,portSpec.db_type)] = portSpec def db_change_portSpec(self, portSpec): self.is_dirty = True found = False for i in xrange(len(self._db_portSpecs)): if self._db_portSpecs[i].db_id == portSpec.db_id: self._db_portSpecs[i] = portSpec found = True break if not found: self._db_portSpecs.append(portSpec) self.db_portSpecs_id_index[portSpec.db_id] = portSpec self.db_portSpecs_name_index[(portSpec.db_name,portSpec.db_type)] = portSpec def db_delete_portSpec(self, portSpec): self.is_dirty = True for i in xrange(len(self._db_portSpecs)): if self._db_portSpecs[i].db_id == portSpec.db_id: if not self._db_portSpecs[i].is_new: self.db_deleted_portSpecs.append(self._db_portSpecs[i]) del self._db_portSpecs[i] break del self.db_portSpecs_id_index[portSpec.db_id] del self.db_portSpecs_name_index[(portSpec.db_name,portSpec.db_type)] def db_get_portSpec(self, key): for i in xrange(len(self._db_portSpecs)): if self._db_portSpecs[i].db_id == key: return self._db_portSpecs[i] return None def db_get_portSpec_by_id(self, key): return self.db_portSpecs_id_index[key] def db_has_portSpec_with_id(self, key): return key in self.db_portSpecs_id_index def db_get_portSpec_by_name(self, key): return self.db_portSpecs_name_index[key] def db_has_portSpec_with_name(self, key): return key in self.db_portSpecs_name_index def getPrimaryKey(self): return self._db_id class DBTag(object): vtType = 'tag' def __init__(self, id=None, name=None): self._db_id = id self._db_name = name self.is_dirty = True self.is_new = True def __copy__(self): return DBTag.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBTag(id=self._db_id, name=self._db_name) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_id') and ('action', self._db_id) in id_remap: cp._db_id = id_remap[('action', self._db_id)] # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBTag() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def getPrimaryKey(self): return self._db_id class DBPort(object): vtType = 'port' def __init__(self, id=None, type=None, moduleId=None, moduleName=None, name=None, signature=None): self._db_id = id self._db_type = type self._db_moduleId = moduleId self._db_moduleName = moduleName self._db_name = name self._db_signature = signature self.is_dirty = True self.is_new = True def __copy__(self): return DBPort.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBPort(id=self._db_id, type=self._db_type, moduleId=self._db_moduleId, moduleName=self._db_moduleName, name=self._db_name, signature=self._db_signature) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_moduleId') and ('module', self._db_moduleId) in id_remap: cp._db_moduleId = id_remap[('module', self._db_moduleId)] # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBPort() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'type' in class_dict: res = class_dict['type'](old_obj, trans_dict) new_obj.db_type = res elif hasattr(old_obj, 'db_type') and old_obj.db_type is not None: new_obj.db_type = old_obj.db_type if 'moduleId' in class_dict: res = class_dict['moduleId'](old_obj, trans_dict) new_obj.db_moduleId = res elif hasattr(old_obj, 'db_moduleId') and old_obj.db_moduleId is not None: new_obj.db_moduleId = old_obj.db_moduleId if 'moduleName' in class_dict: res = class_dict['moduleName'](old_obj, trans_dict) new_obj.db_moduleName = res elif hasattr(old_obj, 'db_moduleName') and old_obj.db_moduleName is not None: new_obj.db_moduleName = old_obj.db_moduleName if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'signature' in class_dict: res = class_dict['signature'](old_obj, trans_dict) new_obj.db_signature = res elif hasattr(old_obj, 'db_signature') and old_obj.db_signature is not None: new_obj.db_signature = old_obj.db_signature new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_type(self): return self._db_type def __set_db_type(self, type): self._db_type = type self.is_dirty = True db_type = property(__get_db_type, __set_db_type) def db_add_type(self, type): self._db_type = type def db_change_type(self, type): self._db_type = type def db_delete_type(self, type): self._db_type = None def __get_db_moduleId(self): return self._db_moduleId def __set_db_moduleId(self, moduleId): self._db_moduleId = moduleId self.is_dirty = True db_moduleId = property(__get_db_moduleId, __set_db_moduleId) def db_add_moduleId(self, moduleId): self._db_moduleId = moduleId def db_change_moduleId(self, moduleId): self._db_moduleId = moduleId def db_delete_moduleId(self, moduleId): self._db_moduleId = None def __get_db_moduleName(self): return self._db_moduleName def __set_db_moduleName(self, moduleName): self._db_moduleName = moduleName self.is_dirty = True db_moduleName = property(__get_db_moduleName, __set_db_moduleName) def db_add_moduleName(self, moduleName): self._db_moduleName = moduleName def db_change_moduleName(self, moduleName): self._db_moduleName = moduleName def db_delete_moduleName(self, moduleName): self._db_moduleName = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_signature(self): return self._db_signature def __set_db_signature(self, signature): self._db_signature = signature self.is_dirty = True db_signature = property(__get_db_signature, __set_db_signature) def db_add_signature(self, signature): self._db_signature = signature def db_change_signature(self, signature): self._db_signature = signature def db_delete_signature(self, signature): self._db_signature = None def getPrimaryKey(self): return self._db_id class DBGroup(object): vtType = 'group' def __init__(self, id=None, workflow=None, cache=None, name=None, namespace=None, package=None, version=None, tag=None, location=None, functions=None, annotations=None): self._db_id = id self.db_deleted_workflow = [] self._db_workflow = workflow self._db_cache = cache self._db_name = name self._db_namespace = namespace self._db_package = package self._db_version = version self._db_tag = tag self.db_deleted_location = [] self._db_location = location self.db_deleted_functions = [] self.db_functions_id_index = {} if functions is None: self._db_functions = [] else: self._db_functions = functions for v in self._db_functions: self.db_functions_id_index[v.db_id] = v self.db_deleted_annotations = [] self.db_annotations_id_index = {} self.db_annotations_key_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_annotations_key_index[v.db_key] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBGroup.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBGroup(id=self._db_id, cache=self._db_cache, name=self._db_name, namespace=self._db_namespace, package=self._db_package, version=self._db_version, tag=self._db_tag) if self._db_workflow is not None: cp._db_workflow = self._db_workflow.do_copy() if self._db_location is not None: cp._db_location = self._db_location.do_copy(new_ids, id_scope, id_remap) if self._db_functions is None: cp._db_functions = [] else: cp._db_functions = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_functions] if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_functions_id_index = dict((v.db_id, v) for v in cp._db_functions) cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_annotations_key_index = dict((v.db_key, v) for v in cp._db_annotations) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBGroup() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'workflow' in class_dict: res = class_dict['workflow'](old_obj, trans_dict) new_obj.db_workflow = res elif hasattr(old_obj, 'db_workflow') and old_obj.db_workflow is not None: obj = old_obj.db_workflow new_obj.db_add_workflow(DBWorkflow.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_workflow') and hasattr(new_obj, 'db_deleted_workflow'): for obj in old_obj.db_deleted_workflow: n_obj = DBWorkflow.update_version(obj, trans_dict) new_obj.db_deleted_workflow.append(n_obj) if 'cache' in class_dict: res = class_dict['cache'](old_obj, trans_dict) new_obj.db_cache = res elif hasattr(old_obj, 'db_cache') and old_obj.db_cache is not None: new_obj.db_cache = old_obj.db_cache if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'namespace' in class_dict: res = class_dict['namespace'](old_obj, trans_dict) new_obj.db_namespace = res elif hasattr(old_obj, 'db_namespace') and old_obj.db_namespace is not None: new_obj.db_namespace = old_obj.db_namespace if 'package' in class_dict: res = class_dict['package'](old_obj, trans_dict) new_obj.db_package = res elif hasattr(old_obj, 'db_package') and old_obj.db_package is not None: new_obj.db_package = old_obj.db_package if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'tag' in class_dict: res = class_dict['tag'](old_obj, trans_dict) new_obj.db_tag = res elif hasattr(old_obj, 'db_tag') and old_obj.db_tag is not None: new_obj.db_tag = old_obj.db_tag if 'location' in class_dict: res = class_dict['location'](old_obj, trans_dict) new_obj.db_location = res elif hasattr(old_obj, 'db_location') and old_obj.db_location is not None: obj = old_obj.db_location new_obj.db_add_location(DBLocation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_location') and hasattr(new_obj, 'db_deleted_location'): for obj in old_obj.db_deleted_location: n_obj = DBLocation.update_version(obj, trans_dict) new_obj.db_deleted_location.append(n_obj) if 'functions' in class_dict: res = class_dict['functions'](old_obj, trans_dict) for obj in res: new_obj.db_add_function(obj) elif hasattr(old_obj, 'db_functions') and old_obj.db_functions is not None: for obj in old_obj.db_functions: new_obj.db_add_function(DBFunction.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_functions') and hasattr(new_obj, 'db_deleted_functions'): for obj in old_obj.db_deleted_functions: n_obj = DBFunction.update_version(obj, trans_dict) new_obj.db_deleted_functions.append(n_obj) if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] if self._db_location is not None: children.extend(self._db_location.db_children((self.vtType, self.db_id), orphan)) if orphan: self._db_location = None to_del = [] for child in self.db_functions: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_function(child) to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_workflow) children.extend(self.db_deleted_location) children.extend(self.db_deleted_functions) children.extend(self.db_deleted_annotations) if remove: self.db_deleted_workflow = [] self.db_deleted_location = [] self.db_deleted_functions = [] self.db_deleted_annotations = [] return children def has_changes(self): if self.is_dirty: return True if self._db_workflow is not None and self._db_workflow.has_changes(): return True if self._db_location is not None and self._db_location.has_changes(): return True for child in self._db_functions: if child.has_changes(): return True for child in self._db_annotations: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_workflow(self): return self._db_workflow def __set_db_workflow(self, workflow): self._db_workflow = workflow self.is_dirty = True db_workflow = property(__get_db_workflow, __set_db_workflow) def db_add_workflow(self, workflow): self._db_workflow = workflow def db_change_workflow(self, workflow): self._db_workflow = workflow def db_delete_workflow(self, workflow): if not self.is_new: self.db_deleted_workflow.append(self._db_workflow) self._db_workflow = None def __get_db_cache(self): return self._db_cache def __set_db_cache(self, cache): self._db_cache = cache self.is_dirty = True db_cache = property(__get_db_cache, __set_db_cache) def db_add_cache(self, cache): self._db_cache = cache def db_change_cache(self, cache): self._db_cache = cache def db_delete_cache(self, cache): self._db_cache = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_namespace(self): return self._db_namespace def __set_db_namespace(self, namespace): self._db_namespace = namespace self.is_dirty = True db_namespace = property(__get_db_namespace, __set_db_namespace) def db_add_namespace(self, namespace): self._db_namespace = namespace def db_change_namespace(self, namespace): self._db_namespace = namespace def db_delete_namespace(self, namespace): self._db_namespace = None def __get_db_package(self): return self._db_package def __set_db_package(self, package): self._db_package = package self.is_dirty = True db_package = property(__get_db_package, __set_db_package) def db_add_package(self, package): self._db_package = package def db_change_package(self, package): self._db_package = package def db_delete_package(self, package): self._db_package = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_tag(self): return self._db_tag def __set_db_tag(self, tag): self._db_tag = tag self.is_dirty = True db_tag = property(__get_db_tag, __set_db_tag) def db_add_tag(self, tag): self._db_tag = tag def db_change_tag(self, tag): self._db_tag = tag def db_delete_tag(self, tag): self._db_tag = None def __get_db_location(self): return self._db_location def __set_db_location(self, location): self._db_location = location self.is_dirty = True db_location = property(__get_db_location, __set_db_location) def db_add_location(self, location): self._db_location = location def db_change_location(self, location): self._db_location = location def db_delete_location(self, location): if not self.is_new: self.db_deleted_location.append(self._db_location) self._db_location = None def __get_db_functions(self): return self._db_functions def __set_db_functions(self, functions): self._db_functions = functions self.is_dirty = True db_functions = property(__get_db_functions, __set_db_functions) def db_get_functions(self): return self._db_functions def db_add_function(self, function): self.is_dirty = True self._db_functions.append(function) self.db_functions_id_index[function.db_id] = function def db_change_function(self, function): self.is_dirty = True found = False for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == function.db_id: self._db_functions[i] = function found = True break if not found: self._db_functions.append(function) self.db_functions_id_index[function.db_id] = function def db_delete_function(self, function): self.is_dirty = True for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == function.db_id: if not self._db_functions[i].is_new: self.db_deleted_functions.append(self._db_functions[i]) del self._db_functions[i] break del self.db_functions_id_index[function.db_id] def db_get_function(self, key): for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == key: return self._db_functions[i] return None def db_get_function_by_id(self, key): return self.db_functions_id_index[key] def db_has_function_with_id(self, key): return key in self.db_functions_id_index def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] del self.db_annotations_key_index[annotation.db_key] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def db_get_annotation_by_key(self, key): return self.db_annotations_key_index[key] def db_has_annotation_with_key(self, key): return key in self.db_annotations_key_index def getPrimaryKey(self): return self._db_id class DBLog(object): vtType = 'log' def __init__(self, id=None, entity_type=None, version=None, name=None, last_modified=None, workflow_execs=None, machines=None, vistrail_id=None): self._db_id = id self._db_entity_type = entity_type self._db_version = version self._db_name = name self._db_last_modified = last_modified self.db_deleted_workflow_execs = [] self.db_workflow_execs_id_index = {} if workflow_execs is None: self._db_workflow_execs = [] else: self._db_workflow_execs = workflow_execs for v in self._db_workflow_execs: self.db_workflow_execs_id_index[v.db_id] = v self.db_deleted_machines = [] self.db_machines_id_index = {} if machines is None: self._db_machines = [] else: self._db_machines = machines for v in self._db_machines: self.db_machines_id_index[v.db_id] = v self._db_vistrail_id = vistrail_id self.is_dirty = True self.is_new = True def __copy__(self): return DBLog.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBLog(id=self._db_id, entity_type=self._db_entity_type, version=self._db_version, name=self._db_name, last_modified=self._db_last_modified, vistrail_id=self._db_vistrail_id) if self._db_workflow_execs is None: cp._db_workflow_execs = [] else: cp._db_workflow_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_workflow_execs] if self._db_machines is None: cp._db_machines = [] else: cp._db_machines = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_machines] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_vistrail_id') and ('vistrail', self._db_vistrail_id) in id_remap: cp._db_vistrail_id = id_remap[('vistrail', self._db_vistrail_id)] # recreate indices and set flags cp.db_workflow_execs_id_index = dict((v.db_id, v) for v in cp._db_workflow_execs) cp.db_machines_id_index = dict((v.db_id, v) for v in cp._db_machines) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBLog() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'entity_type' in class_dict: res = class_dict['entity_type'](old_obj, trans_dict) new_obj.db_entity_type = res elif hasattr(old_obj, 'db_entity_type') and old_obj.db_entity_type is not None: new_obj.db_entity_type = old_obj.db_entity_type if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'last_modified' in class_dict: res = class_dict['last_modified'](old_obj, trans_dict) new_obj.db_last_modified = res elif hasattr(old_obj, 'db_last_modified') and old_obj.db_last_modified is not None: new_obj.db_last_modified = old_obj.db_last_modified if 'workflow_execs' in class_dict: res = class_dict['workflow_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_workflow_exec(obj) elif hasattr(old_obj, 'db_workflow_execs') and old_obj.db_workflow_execs is not None: for obj in old_obj.db_workflow_execs: new_obj.db_add_workflow_exec(DBWorkflowExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_workflow_execs') and hasattr(new_obj, 'db_deleted_workflow_execs'): for obj in old_obj.db_deleted_workflow_execs: n_obj = DBWorkflowExec.update_version(obj, trans_dict) new_obj.db_deleted_workflow_execs.append(n_obj) if 'machines' in class_dict: res = class_dict['machines'](old_obj, trans_dict) for obj in res: new_obj.db_add_machine(obj) elif hasattr(old_obj, 'db_machines') and old_obj.db_machines is not None: for obj in old_obj.db_machines: new_obj.db_add_machine(DBMachine.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_machines') and hasattr(new_obj, 'db_deleted_machines'): for obj in old_obj.db_deleted_machines: n_obj = DBMachine.update_version(obj, trans_dict) new_obj.db_deleted_machines.append(n_obj) if 'vistrail_id' in class_dict: res = class_dict['vistrail_id'](old_obj, trans_dict) new_obj.db_vistrail_id = res elif hasattr(old_obj, 'db_vistrail_id') and old_obj.db_vistrail_id is not None: new_obj.db_vistrail_id = old_obj.db_vistrail_id new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_workflow_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_workflow_exec(child) to_del = [] for child in self.db_machines: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_machine(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_workflow_execs) children.extend(self.db_deleted_machines) if remove: self.db_deleted_workflow_execs = [] self.db_deleted_machines = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_workflow_execs: if child.has_changes(): return True for child in self._db_machines: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_entity_type(self): return self._db_entity_type def __set_db_entity_type(self, entity_type): self._db_entity_type = entity_type self.is_dirty = True db_entity_type = property(__get_db_entity_type, __set_db_entity_type) def db_add_entity_type(self, entity_type): self._db_entity_type = entity_type def db_change_entity_type(self, entity_type): self._db_entity_type = entity_type def db_delete_entity_type(self, entity_type): self._db_entity_type = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_last_modified(self): return self._db_last_modified def __set_db_last_modified(self, last_modified): self._db_last_modified = last_modified self.is_dirty = True db_last_modified = property(__get_db_last_modified, __set_db_last_modified) def db_add_last_modified(self, last_modified): self._db_last_modified = last_modified def db_change_last_modified(self, last_modified): self._db_last_modified = last_modified def db_delete_last_modified(self, last_modified): self._db_last_modified = None def __get_db_workflow_execs(self): return self._db_workflow_execs def __set_db_workflow_execs(self, workflow_execs): self._db_workflow_execs = workflow_execs self.is_dirty = True db_workflow_execs = property(__get_db_workflow_execs, __set_db_workflow_execs) def db_get_workflow_execs(self): return self._db_workflow_execs def db_add_workflow_exec(self, workflow_exec): self.is_dirty = True self._db_workflow_execs.append(workflow_exec) self.db_workflow_execs_id_index[workflow_exec.db_id] = workflow_exec def db_change_workflow_exec(self, workflow_exec): self.is_dirty = True found = False for i in xrange(len(self._db_workflow_execs)): if self._db_workflow_execs[i].db_id == workflow_exec.db_id: self._db_workflow_execs[i] = workflow_exec found = True break if not found: self._db_workflow_execs.append(workflow_exec) self.db_workflow_execs_id_index[workflow_exec.db_id] = workflow_exec def db_delete_workflow_exec(self, workflow_exec): self.is_dirty = True for i in xrange(len(self._db_workflow_execs)): if self._db_workflow_execs[i].db_id == workflow_exec.db_id: if not self._db_workflow_execs[i].is_new: self.db_deleted_workflow_execs.append(self._db_workflow_execs[i]) del self._db_workflow_execs[i] break del self.db_workflow_execs_id_index[workflow_exec.db_id] def db_get_workflow_exec(self, key): for i in xrange(len(self._db_workflow_execs)): if self._db_workflow_execs[i].db_id == key: return self._db_workflow_execs[i] return None def db_get_workflow_exec_by_id(self, key): return self.db_workflow_execs_id_index[key] def db_has_workflow_exec_with_id(self, key): return key in self.db_workflow_execs_id_index def __get_db_machines(self): return self._db_machines def __set_db_machines(self, machines): self._db_machines = machines self.is_dirty = True db_machines = property(__get_db_machines, __set_db_machines) def db_get_machines(self): return self._db_machines def db_add_machine(self, machine): self.is_dirty = True self._db_machines.append(machine) self.db_machines_id_index[machine.db_id] = machine def db_change_machine(self, machine): self.is_dirty = True found = False for i in xrange(len(self._db_machines)): if self._db_machines[i].db_id == machine.db_id: self._db_machines[i] = machine found = True break if not found: self._db_machines.append(machine) self.db_machines_id_index[machine.db_id] = machine def db_delete_machine(self, machine): self.is_dirty = True for i in xrange(len(self._db_machines)): if self._db_machines[i].db_id == machine.db_id: if not self._db_machines[i].is_new: self.db_deleted_machines.append(self._db_machines[i]) del self._db_machines[i] break del self.db_machines_id_index[machine.db_id] def db_get_machine(self, key): for i in xrange(len(self._db_machines)): if self._db_machines[i].db_id == key: return self._db_machines[i] return None def db_get_machine_by_id(self, key): return self.db_machines_id_index[key] def db_has_machine_with_id(self, key): return key in self.db_machines_id_index def __get_db_vistrail_id(self): return self._db_vistrail_id def __set_db_vistrail_id(self, vistrail_id): self._db_vistrail_id = vistrail_id self.is_dirty = True db_vistrail_id = property(__get_db_vistrail_id, __set_db_vistrail_id) def db_add_vistrail_id(self, vistrail_id): self._db_vistrail_id = vistrail_id def db_change_vistrail_id(self, vistrail_id): self._db_vistrail_id = vistrail_id def db_delete_vistrail_id(self, vistrail_id): self._db_vistrail_id = None def getPrimaryKey(self): return self._db_id class DBMachine(object): vtType = 'machine' def __init__(self, id=None, name=None, os=None, architecture=None, processor=None, ram=None): self._db_id = id self._db_name = name self._db_os = os self._db_architecture = architecture self._db_processor = processor self._db_ram = ram self.is_dirty = True self.is_new = True def __copy__(self): return DBMachine.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBMachine(id=self._db_id, name=self._db_name, os=self._db_os, architecture=self._db_architecture, processor=self._db_processor, ram=self._db_ram) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_vistrailId') and ('vistrail', self._db_vistrailId) in id_remap: cp._db_vistrailId = id_remap[('vistrail', self._db_vistrailId)] # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBMachine() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'os' in class_dict: res = class_dict['os'](old_obj, trans_dict) new_obj.db_os = res elif hasattr(old_obj, 'db_os') and old_obj.db_os is not None: new_obj.db_os = old_obj.db_os if 'architecture' in class_dict: res = class_dict['architecture'](old_obj, trans_dict) new_obj.db_architecture = res elif hasattr(old_obj, 'db_architecture') and old_obj.db_architecture is not None: new_obj.db_architecture = old_obj.db_architecture if 'processor' in class_dict: res = class_dict['processor'](old_obj, trans_dict) new_obj.db_processor = res elif hasattr(old_obj, 'db_processor') and old_obj.db_processor is not None: new_obj.db_processor = old_obj.db_processor if 'ram' in class_dict: res = class_dict['ram'](old_obj, trans_dict) new_obj.db_ram = res elif hasattr(old_obj, 'db_ram') and old_obj.db_ram is not None: new_obj.db_ram = old_obj.db_ram new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_os(self): return self._db_os def __set_db_os(self, os): self._db_os = os self.is_dirty = True db_os = property(__get_db_os, __set_db_os) def db_add_os(self, os): self._db_os = os def db_change_os(self, os): self._db_os = os def db_delete_os(self, os): self._db_os = None def __get_db_architecture(self): return self._db_architecture def __set_db_architecture(self, architecture): self._db_architecture = architecture self.is_dirty = True db_architecture = property(__get_db_architecture, __set_db_architecture) def db_add_architecture(self, architecture): self._db_architecture = architecture def db_change_architecture(self, architecture): self._db_architecture = architecture def db_delete_architecture(self, architecture): self._db_architecture = None def __get_db_processor(self): return self._db_processor def __set_db_processor(self, processor): self._db_processor = processor self.is_dirty = True db_processor = property(__get_db_processor, __set_db_processor) def db_add_processor(self, processor): self._db_processor = processor def db_change_processor(self, processor): self._db_processor = processor def db_delete_processor(self, processor): self._db_processor = None def __get_db_ram(self): return self._db_ram def __set_db_ram(self, ram): self._db_ram = ram self.is_dirty = True db_ram = property(__get_db_ram, __set_db_ram) def db_add_ram(self, ram): self._db_ram = ram def db_change_ram(self, ram): self._db_ram = ram def db_delete_ram(self, ram): self._db_ram = None def getPrimaryKey(self): return self._db_id class DBAdd(object): vtType = 'add' def __init__(self, data=None, id=None, what=None, objectId=None, parentObjId=None, parentObjType=None): self.db_deleted_data = [] self._db_data = data self._db_id = id self._db_what = what self._db_objectId = objectId self._db_parentObjId = parentObjId self._db_parentObjType = parentObjType self.is_dirty = True self.is_new = True def __copy__(self): return DBAdd.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBAdd(id=self._db_id, what=self._db_what, objectId=self._db_objectId, parentObjId=self._db_parentObjId, parentObjType=self._db_parentObjType) if self._db_data is not None: cp._db_data = self._db_data.do_copy(new_ids, id_scope, id_remap) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_objectId') and (self._db_what, self._db_objectId) in id_remap: cp._db_objectId = id_remap[(self._db_what, self._db_objectId)] if hasattr(self, 'db_parentObjId') and (self._db_parentObjType, self._db_parentObjId) in id_remap: cp._db_parentObjId = id_remap[(self._db_parentObjType, self._db_parentObjId)] # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBAdd() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'data' in class_dict: res = class_dict['data'](old_obj, trans_dict) new_obj.db_data = res elif hasattr(old_obj, 'db_data') and old_obj.db_data is not None: obj = old_obj.db_data if obj.vtType == 'module': new_obj.db_add_data(DBModule.update_version(obj, trans_dict)) elif obj.vtType == 'location': new_obj.db_add_data(DBLocation.update_version(obj, trans_dict)) elif obj.vtType == 'annotation': new_obj.db_add_data(DBAnnotation.update_version(obj, trans_dict)) elif obj.vtType == 'function': new_obj.db_add_data(DBFunction.update_version(obj, trans_dict)) elif obj.vtType == 'connection': new_obj.db_add_data(DBConnection.update_version(obj, trans_dict)) elif obj.vtType == 'port': new_obj.db_add_data(DBPort.update_version(obj, trans_dict)) elif obj.vtType == 'parameter': new_obj.db_add_data(DBParameter.update_version(obj, trans_dict)) elif obj.vtType == 'portSpec': new_obj.db_add_data(DBPortSpec.update_version(obj, trans_dict)) elif obj.vtType == 'abstraction': new_obj.db_add_data(DBAbstraction.update_version(obj, trans_dict)) elif obj.vtType == 'group': new_obj.db_add_data(DBGroup.update_version(obj, trans_dict)) elif obj.vtType == 'other': new_obj.db_add_data(DBOther.update_version(obj, trans_dict)) elif obj.vtType == 'plugin_data': new_obj.db_add_data(DBPluginData.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_data') and hasattr(new_obj, 'db_deleted_data'): for obj in old_obj.db_deleted_data: if obj.vtType == 'module': n_obj = DBModule.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'location': n_obj = DBLocation.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'annotation': n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'function': n_obj = DBFunction.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'connection': n_obj = DBConnection.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'port': n_obj = DBPort.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'parameter': n_obj = DBParameter.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'portSpec': n_obj = DBPortSpec.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'abstraction': n_obj = DBAbstraction.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'group': n_obj = DBGroup.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'other': n_obj = DBOther.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'plugin_data': n_obj = DBPluginData.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'what' in class_dict: res = class_dict['what'](old_obj, trans_dict) new_obj.db_what = res elif hasattr(old_obj, 'db_what') and old_obj.db_what is not None: new_obj.db_what = old_obj.db_what if 'objectId' in class_dict: res = class_dict['objectId'](old_obj, trans_dict) new_obj.db_objectId = res elif hasattr(old_obj, 'db_objectId') and old_obj.db_objectId is not None: new_obj.db_objectId = old_obj.db_objectId if 'parentObjId' in class_dict: res = class_dict['parentObjId'](old_obj, trans_dict) new_obj.db_parentObjId = res elif hasattr(old_obj, 'db_parentObjId') and old_obj.db_parentObjId is not None: new_obj.db_parentObjId = old_obj.db_parentObjId if 'parentObjType' in class_dict: res = class_dict['parentObjType'](old_obj, trans_dict) new_obj.db_parentObjType = res elif hasattr(old_obj, 'db_parentObjType') and old_obj.db_parentObjType is not None: new_obj.db_parentObjType = old_obj.db_parentObjType new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] if self._db_data is not None: children.extend(self._db_data.db_children((self.vtType, self.db_id), orphan)) if orphan: self._db_data = None children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_data) if remove: self.db_deleted_data = [] return children def has_changes(self): if self.is_dirty: return True if self._db_data is not None and self._db_data.has_changes(): return True return False def __get_db_data(self): return self._db_data def __set_db_data(self, data): self._db_data = data self.is_dirty = True db_data = property(__get_db_data, __set_db_data) def db_add_data(self, data): self._db_data = data def db_change_data(self, data): self._db_data = data def db_delete_data(self, data): if not self.is_new: self.db_deleted_data.append(self._db_data) self._db_data = None def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_what(self): return self._db_what def __set_db_what(self, what): self._db_what = what self.is_dirty = True db_what = property(__get_db_what, __set_db_what) def db_add_what(self, what): self._db_what = what def db_change_what(self, what): self._db_what = what def db_delete_what(self, what): self._db_what = None def __get_db_objectId(self): return self._db_objectId def __set_db_objectId(self, objectId): self._db_objectId = objectId self.is_dirty = True db_objectId = property(__get_db_objectId, __set_db_objectId) def db_add_objectId(self, objectId): self._db_objectId = objectId def db_change_objectId(self, objectId): self._db_objectId = objectId def db_delete_objectId(self, objectId): self._db_objectId = None def __get_db_parentObjId(self): return self._db_parentObjId def __set_db_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId self.is_dirty = True db_parentObjId = property(__get_db_parentObjId, __set_db_parentObjId) def db_add_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId def db_change_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId def db_delete_parentObjId(self, parentObjId): self._db_parentObjId = None def __get_db_parentObjType(self): return self._db_parentObjType def __set_db_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType self.is_dirty = True db_parentObjType = property(__get_db_parentObjType, __set_db_parentObjType) def db_add_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType def db_change_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType def db_delete_parentObjType(self, parentObjType): self._db_parentObjType = None def getPrimaryKey(self): return self._db_id class DBOther(object): vtType = 'other' def __init__(self, id=None, key=None, value=None): self._db_id = id self._db_key = key self._db_value = value self.is_dirty = True self.is_new = True def __copy__(self): return DBOther.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBOther(id=self._db_id, key=self._db_key, value=self._db_value) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBOther() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'key' in class_dict: res = class_dict['key'](old_obj, trans_dict) new_obj.db_key = res elif hasattr(old_obj, 'db_key') and old_obj.db_key is not None: new_obj.db_key = old_obj.db_key if 'value' in class_dict: res = class_dict['value'](old_obj, trans_dict) new_obj.db_value = res elif hasattr(old_obj, 'db_value') and old_obj.db_value is not None: new_obj.db_value = old_obj.db_value new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_key(self): return self._db_key def __set_db_key(self, key): self._db_key = key self.is_dirty = True db_key = property(__get_db_key, __set_db_key) def db_add_key(self, key): self._db_key = key def db_change_key(self, key): self._db_key = key def db_delete_key(self, key): self._db_key = None def __get_db_value(self): return self._db_value def __set_db_value(self, value): self._db_value = value self.is_dirty = True db_value = property(__get_db_value, __set_db_value) def db_add_value(self, value): self._db_value = value def db_change_value(self, value): self._db_value = value def db_delete_value(self, value): self._db_value = None def getPrimaryKey(self): return self._db_id class DBLocation(object): vtType = 'location' def __init__(self, id=None, x=None, y=None): self._db_id = id self._db_x = x self._db_y = y self.is_dirty = True self.is_new = True def __copy__(self): return DBLocation.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBLocation(id=self._db_id, x=self._db_x, y=self._db_y) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBLocation() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'x' in class_dict: res = class_dict['x'](old_obj, trans_dict) new_obj.db_x = res elif hasattr(old_obj, 'db_x') and old_obj.db_x is not None: new_obj.db_x = old_obj.db_x if 'y' in class_dict: res = class_dict['y'](old_obj, trans_dict) new_obj.db_y = res elif hasattr(old_obj, 'db_y') and old_obj.db_y is not None: new_obj.db_y = old_obj.db_y new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_x(self): return self._db_x def __set_db_x(self, x): self._db_x = x self.is_dirty = True db_x = property(__get_db_x, __set_db_x) def db_add_x(self, x): self._db_x = x def db_change_x(self, x): self._db_x = x def db_delete_x(self, x): self._db_x = None def __get_db_y(self): return self._db_y def __set_db_y(self, y): self._db_y = y self.is_dirty = True db_y = property(__get_db_y, __set_db_y) def db_add_y(self, y): self._db_y = y def db_change_y(self, y): self._db_y = y def db_delete_y(self, y): self._db_y = None def getPrimaryKey(self): return self._db_id class DBParameter(object): vtType = 'parameter' def __init__(self, id=None, pos=None, name=None, type=None, val=None, alias=None): self._db_id = id self._db_pos = pos self._db_name = name self._db_type = type self._db_val = val self._db_alias = alias self.is_dirty = True self.is_new = True def __copy__(self): return DBParameter.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBParameter(id=self._db_id, pos=self._db_pos, name=self._db_name, type=self._db_type, val=self._db_val, alias=self._db_alias) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBParameter() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'pos' in class_dict: res = class_dict['pos'](old_obj, trans_dict) new_obj.db_pos = res elif hasattr(old_obj, 'db_pos') and old_obj.db_pos is not None: new_obj.db_pos = old_obj.db_pos if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'type' in class_dict: res = class_dict['type'](old_obj, trans_dict) new_obj.db_type = res elif hasattr(old_obj, 'db_type') and old_obj.db_type is not None: new_obj.db_type = old_obj.db_type if 'val' in class_dict: res = class_dict['val'](old_obj, trans_dict) new_obj.db_val = res elif hasattr(old_obj, 'db_val') and old_obj.db_val is not None: new_obj.db_val = old_obj.db_val if 'alias' in class_dict: res = class_dict['alias'](old_obj, trans_dict) new_obj.db_alias = res elif hasattr(old_obj, 'db_alias') and old_obj.db_alias is not None: new_obj.db_alias = old_obj.db_alias new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_pos(self): return self._db_pos def __set_db_pos(self, pos): self._db_pos = pos self.is_dirty = True db_pos = property(__get_db_pos, __set_db_pos) def db_add_pos(self, pos): self._db_pos = pos def db_change_pos(self, pos): self._db_pos = pos def db_delete_pos(self, pos): self._db_pos = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_type(self): return self._db_type def __set_db_type(self, type): self._db_type = type self.is_dirty = True db_type = property(__get_db_type, __set_db_type) def db_add_type(self, type): self._db_type = type def db_change_type(self, type): self._db_type = type def db_delete_type(self, type): self._db_type = None def __get_db_val(self): return self._db_val def __set_db_val(self, val): self._db_val = val self.is_dirty = True db_val = property(__get_db_val, __set_db_val) def db_add_val(self, val): self._db_val = val def db_change_val(self, val): self._db_val = val def db_delete_val(self, val): self._db_val = None def __get_db_alias(self): return self._db_alias def __set_db_alias(self, alias): self._db_alias = alias self.is_dirty = True db_alias = property(__get_db_alias, __set_db_alias) def db_add_alias(self, alias): self._db_alias = alias def db_change_alias(self, alias): self._db_alias = alias def db_delete_alias(self, alias): self._db_alias = None def getPrimaryKey(self): return self._db_id class DBPluginData(object): vtType = 'plugin_data' def __init__(self, id=None, data=None): self._db_id = id self._db_data = data self.is_dirty = True self.is_new = True def __copy__(self): return DBPluginData.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBPluginData(id=self._db_id, data=self._db_data) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBPluginData() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'data' in class_dict: res = class_dict['data'](old_obj, trans_dict) new_obj.db_data = res elif hasattr(old_obj, 'db_data') and old_obj.db_data is not None: new_obj.db_data = old_obj.db_data new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_data(self): return self._db_data def __set_db_data(self, data): self._db_data = data self.is_dirty = True db_data = property(__get_db_data, __set_db_data) def db_add_data(self, data): self._db_data = data def db_change_data(self, data): self._db_data = data def db_delete_data(self, data): self._db_data = None def getPrimaryKey(self): return self._db_id class DBFunction(object): vtType = 'function' def __init__(self, id=None, pos=None, name=None, parameters=None): self._db_id = id self._db_pos = pos self._db_name = name self.db_deleted_parameters = [] self.db_parameters_id_index = {} if parameters is None: self._db_parameters = [] else: self._db_parameters = parameters for v in self._db_parameters: self.db_parameters_id_index[v.db_id] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBFunction.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBFunction(id=self._db_id, pos=self._db_pos, name=self._db_name) if self._db_parameters is None: cp._db_parameters = [] else: cp._db_parameters = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_parameters] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_parameters_id_index = dict((v.db_id, v) for v in cp._db_parameters) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBFunction() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'pos' in class_dict: res = class_dict['pos'](old_obj, trans_dict) new_obj.db_pos = res elif hasattr(old_obj, 'db_pos') and old_obj.db_pos is not None: new_obj.db_pos = old_obj.db_pos if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'parameters' in class_dict: res = class_dict['parameters'](old_obj, trans_dict) for obj in res: new_obj.db_add_parameter(obj) elif hasattr(old_obj, 'db_parameters') and old_obj.db_parameters is not None: for obj in old_obj.db_parameters: new_obj.db_add_parameter(DBParameter.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_parameters') and hasattr(new_obj, 'db_deleted_parameters'): for obj in old_obj.db_deleted_parameters: n_obj = DBParameter.update_version(obj, trans_dict) new_obj.db_deleted_parameters.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_parameters: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_parameter(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_parameters) if remove: self.db_deleted_parameters = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_parameters: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_pos(self): return self._db_pos def __set_db_pos(self, pos): self._db_pos = pos self.is_dirty = True db_pos = property(__get_db_pos, __set_db_pos) def db_add_pos(self, pos): self._db_pos = pos def db_change_pos(self, pos): self._db_pos = pos def db_delete_pos(self, pos): self._db_pos = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_parameters(self): return self._db_parameters def __set_db_parameters(self, parameters): self._db_parameters = parameters self.is_dirty = True db_parameters = property(__get_db_parameters, __set_db_parameters) def db_get_parameters(self): return self._db_parameters def db_add_parameter(self, parameter): self.is_dirty = True self._db_parameters.append(parameter) self.db_parameters_id_index[parameter.db_id] = parameter def db_change_parameter(self, parameter): self.is_dirty = True found = False for i in xrange(len(self._db_parameters)): if self._db_parameters[i].db_id == parameter.db_id: self._db_parameters[i] = parameter found = True break if not found: self._db_parameters.append(parameter) self.db_parameters_id_index[parameter.db_id] = parameter def db_delete_parameter(self, parameter): self.is_dirty = True for i in xrange(len(self._db_parameters)): if self._db_parameters[i].db_id == parameter.db_id: if not self._db_parameters[i].is_new: self.db_deleted_parameters.append(self._db_parameters[i]) del self._db_parameters[i] break del self.db_parameters_id_index[parameter.db_id] def db_get_parameter(self, key): for i in xrange(len(self._db_parameters)): if self._db_parameters[i].db_id == key: return self._db_parameters[i] return None def db_get_parameter_by_id(self, key): return self.db_parameters_id_index[key] def db_has_parameter_with_id(self, key): return key in self.db_parameters_id_index def getPrimaryKey(self): return self._db_id class DBAbstraction(object): vtType = 'abstraction' def __init__(self, id=None, cache=None, name=None, namespace=None, package=None, version=None, internal_version=None, tag=None, location=None, functions=None, annotations=None): self._db_id = id self._db_cache = cache self._db_name = name self._db_namespace = namespace self._db_package = package self._db_version = version self._db_internal_version = internal_version self._db_tag = tag self.db_deleted_location = [] self._db_location = location self.db_deleted_functions = [] self.db_functions_id_index = {} if functions is None: self._db_functions = [] else: self._db_functions = functions for v in self._db_functions: self.db_functions_id_index[v.db_id] = v self.db_deleted_annotations = [] self.db_annotations_id_index = {} self.db_annotations_key_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_annotations_key_index[v.db_key] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBAbstraction.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBAbstraction(id=self._db_id, cache=self._db_cache, name=self._db_name, namespace=self._db_namespace, package=self._db_package, version=self._db_version, internal_version=self._db_internal_version, tag=self._db_tag) if self._db_location is not None: cp._db_location = self._db_location.do_copy(new_ids, id_scope, id_remap) if self._db_functions is None: cp._db_functions = [] else: cp._db_functions = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_functions] if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_functions_id_index = dict((v.db_id, v) for v in cp._db_functions) cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_annotations_key_index = dict((v.db_key, v) for v in cp._db_annotations) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBAbstraction() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'cache' in class_dict: res = class_dict['cache'](old_obj, trans_dict) new_obj.db_cache = res elif hasattr(old_obj, 'db_cache') and old_obj.db_cache is not None: new_obj.db_cache = old_obj.db_cache if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'namespace' in class_dict: res = class_dict['namespace'](old_obj, trans_dict) new_obj.db_namespace = res elif hasattr(old_obj, 'db_namespace') and old_obj.db_namespace is not None: new_obj.db_namespace = old_obj.db_namespace if 'package' in class_dict: res = class_dict['package'](old_obj, trans_dict) new_obj.db_package = res elif hasattr(old_obj, 'db_package') and old_obj.db_package is not None: new_obj.db_package = old_obj.db_package if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'internal_version' in class_dict: res = class_dict['internal_version'](old_obj, trans_dict) new_obj.db_internal_version = res elif hasattr(old_obj, 'db_internal_version') and old_obj.db_internal_version is not None: new_obj.db_internal_version = old_obj.db_internal_version if 'tag' in class_dict: res = class_dict['tag'](old_obj, trans_dict) new_obj.db_tag = res elif hasattr(old_obj, 'db_tag') and old_obj.db_tag is not None: new_obj.db_tag = old_obj.db_tag if 'location' in class_dict: res = class_dict['location'](old_obj, trans_dict) new_obj.db_location = res elif hasattr(old_obj, 'db_location') and old_obj.db_location is not None: obj = old_obj.db_location new_obj.db_add_location(DBLocation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_location') and hasattr(new_obj, 'db_deleted_location'): for obj in old_obj.db_deleted_location: n_obj = DBLocation.update_version(obj, trans_dict) new_obj.db_deleted_location.append(n_obj) if 'functions' in class_dict: res = class_dict['functions'](old_obj, trans_dict) for obj in res: new_obj.db_add_function(obj) elif hasattr(old_obj, 'db_functions') and old_obj.db_functions is not None: for obj in old_obj.db_functions: new_obj.db_add_function(DBFunction.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_functions') and hasattr(new_obj, 'db_deleted_functions'): for obj in old_obj.db_deleted_functions: n_obj = DBFunction.update_version(obj, trans_dict) new_obj.db_deleted_functions.append(n_obj) if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] if self._db_location is not None: children.extend(self._db_location.db_children((self.vtType, self.db_id), orphan)) if orphan: self._db_location = None to_del = [] for child in self.db_functions: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_function(child) to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_location) children.extend(self.db_deleted_functions) children.extend(self.db_deleted_annotations) if remove: self.db_deleted_location = [] self.db_deleted_functions = [] self.db_deleted_annotations = [] return children def has_changes(self): if self.is_dirty: return True if self._db_location is not None and self._db_location.has_changes(): return True for child in self._db_functions: if child.has_changes(): return True for child in self._db_annotations: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_cache(self): return self._db_cache def __set_db_cache(self, cache): self._db_cache = cache self.is_dirty = True db_cache = property(__get_db_cache, __set_db_cache) def db_add_cache(self, cache): self._db_cache = cache def db_change_cache(self, cache): self._db_cache = cache def db_delete_cache(self, cache): self._db_cache = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_namespace(self): return self._db_namespace def __set_db_namespace(self, namespace): self._db_namespace = namespace self.is_dirty = True db_namespace = property(__get_db_namespace, __set_db_namespace) def db_add_namespace(self, namespace): self._db_namespace = namespace def db_change_namespace(self, namespace): self._db_namespace = namespace def db_delete_namespace(self, namespace): self._db_namespace = None def __get_db_package(self): return self._db_package def __set_db_package(self, package): self._db_package = package self.is_dirty = True db_package = property(__get_db_package, __set_db_package) def db_add_package(self, package): self._db_package = package def db_change_package(self, package): self._db_package = package def db_delete_package(self, package): self._db_package = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_internal_version(self): return self._db_internal_version def __set_db_internal_version(self, internal_version): self._db_internal_version = internal_version self.is_dirty = True db_internal_version = property(__get_db_internal_version, __set_db_internal_version) def db_add_internal_version(self, internal_version): self._db_internal_version = internal_version def db_change_internal_version(self, internal_version): self._db_internal_version = internal_version def db_delete_internal_version(self, internal_version): self._db_internal_version = None def __get_db_tag(self): return self._db_tag def __set_db_tag(self, tag): self._db_tag = tag self.is_dirty = True db_tag = property(__get_db_tag, __set_db_tag) def db_add_tag(self, tag): self._db_tag = tag def db_change_tag(self, tag): self._db_tag = tag def db_delete_tag(self, tag): self._db_tag = None def __get_db_location(self): return self._db_location def __set_db_location(self, location): self._db_location = location self.is_dirty = True db_location = property(__get_db_location, __set_db_location) def db_add_location(self, location): self._db_location = location def db_change_location(self, location): self._db_location = location def db_delete_location(self, location): if not self.is_new: self.db_deleted_location.append(self._db_location) self._db_location = None def __get_db_functions(self): return self._db_functions def __set_db_functions(self, functions): self._db_functions = functions self.is_dirty = True db_functions = property(__get_db_functions, __set_db_functions) def db_get_functions(self): return self._db_functions def db_add_function(self, function): self.is_dirty = True self._db_functions.append(function) self.db_functions_id_index[function.db_id] = function def db_change_function(self, function): self.is_dirty = True found = False for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == function.db_id: self._db_functions[i] = function found = True break if not found: self._db_functions.append(function) self.db_functions_id_index[function.db_id] = function def db_delete_function(self, function): self.is_dirty = True for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == function.db_id: if not self._db_functions[i].is_new: self.db_deleted_functions.append(self._db_functions[i]) del self._db_functions[i] break del self.db_functions_id_index[function.db_id] def db_get_function(self, key): for i in xrange(len(self._db_functions)): if self._db_functions[i].db_id == key: return self._db_functions[i] return None def db_get_function_by_id(self, key): return self.db_functions_id_index[key] def db_has_function_with_id(self, key): return key in self.db_functions_id_index def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] del self.db_annotations_key_index[annotation.db_key] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def db_get_annotation_by_key(self, key): return self.db_annotations_key_index[key] def db_has_annotation_with_key(self, key): return key in self.db_annotations_key_index def getPrimaryKey(self): return self._db_id class DBWorkflow(object): vtType = 'workflow' def __init__(self, modules=None, id=None, entity_type=None, name=None, version=None, last_modified=None, connections=None, annotations=None, plugin_datas=None, others=None, vistrail_id=None): self.db_deleted_modules = [] self.db_modules_id_index = {} if modules is None: self._db_modules = [] else: self._db_modules = modules for v in self._db_modules: self.db_modules_id_index[v.db_id] = v self._db_id = id self._db_entity_type = entity_type self._db_name = name self._db_version = version self._db_last_modified = last_modified self.db_deleted_connections = [] self.db_connections_id_index = {} if connections is None: self._db_connections = [] else: self._db_connections = connections for v in self._db_connections: self.db_connections_id_index[v.db_id] = v self.db_deleted_annotations = [] self.db_annotations_id_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_deleted_plugin_datas = [] self.db_plugin_datas_id_index = {} if plugin_datas is None: self._db_plugin_datas = [] else: self._db_plugin_datas = plugin_datas for v in self._db_plugin_datas: self.db_plugin_datas_id_index[v.db_id] = v self.db_deleted_others = [] self.db_others_id_index = {} if others is None: self._db_others = [] else: self._db_others = others for v in self._db_others: self.db_others_id_index[v.db_id] = v self._db_vistrail_id = vistrail_id self.is_dirty = True self.is_new = True def __copy__(self): return DBWorkflow.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBWorkflow(id=self._db_id, entity_type=self._db_entity_type, name=self._db_name, version=self._db_version, last_modified=self._db_last_modified, vistrail_id=self._db_vistrail_id) if self._db_modules is None: cp._db_modules = [] else: cp._db_modules = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_modules] if self._db_connections is None: cp._db_connections = [] else: cp._db_connections = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_connections] if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] if self._db_plugin_datas is None: cp._db_plugin_datas = [] else: cp._db_plugin_datas = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_plugin_datas] if self._db_others is None: cp._db_others = [] else: cp._db_others = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_others] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_vistrail_id') and ('vistrail', self._db_vistrail_id) in id_remap: cp._db_vistrail_id = id_remap[('vistrail', self._db_vistrail_id)] # recreate indices and set flags cp.db_modules_id_index = dict((v.db_id, v) for v in cp._db_modules) cp.db_connections_id_index = dict((v.db_id, v) for v in cp._db_connections) cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_plugin_datas_id_index = dict((v.db_id, v) for v in cp._db_plugin_datas) cp.db_others_id_index = dict((v.db_id, v) for v in cp._db_others) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBWorkflow() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'modules' in class_dict: res = class_dict['modules'](old_obj, trans_dict) for obj in res: new_obj.db_add_module(obj) elif hasattr(old_obj, 'db_modules') and old_obj.db_modules is not None: for obj in old_obj.db_modules: if obj.vtType == 'module': new_obj.db_add_module(DBModule.update_version(obj, trans_dict)) elif obj.vtType == 'abstraction': new_obj.db_add_module(DBAbstraction.update_version(obj, trans_dict)) elif obj.vtType == 'group': new_obj.db_add_module(DBGroup.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_modules') and hasattr(new_obj, 'db_deleted_modules'): for obj in old_obj.db_deleted_modules: if obj.vtType == 'module': n_obj = DBModule.update_version(obj, trans_dict) new_obj.db_deleted_modules.append(n_obj) elif obj.vtType == 'abstraction': n_obj = DBAbstraction.update_version(obj, trans_dict) new_obj.db_deleted_modules.append(n_obj) elif obj.vtType == 'group': n_obj = DBGroup.update_version(obj, trans_dict) new_obj.db_deleted_modules.append(n_obj) if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'entity_type' in class_dict: res = class_dict['entity_type'](old_obj, trans_dict) new_obj.db_entity_type = res elif hasattr(old_obj, 'db_entity_type') and old_obj.db_entity_type is not None: new_obj.db_entity_type = old_obj.db_entity_type if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'last_modified' in class_dict: res = class_dict['last_modified'](old_obj, trans_dict) new_obj.db_last_modified = res elif hasattr(old_obj, 'db_last_modified') and old_obj.db_last_modified is not None: new_obj.db_last_modified = old_obj.db_last_modified if 'connections' in class_dict: res = class_dict['connections'](old_obj, trans_dict) for obj in res: new_obj.db_add_connection(obj) elif hasattr(old_obj, 'db_connections') and old_obj.db_connections is not None: for obj in old_obj.db_connections: new_obj.db_add_connection(DBConnection.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_connections') and hasattr(new_obj, 'db_deleted_connections'): for obj in old_obj.db_deleted_connections: n_obj = DBConnection.update_version(obj, trans_dict) new_obj.db_deleted_connections.append(n_obj) if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) if 'plugin_datas' in class_dict: res = class_dict['plugin_datas'](old_obj, trans_dict) for obj in res: new_obj.db_add_plugin_data(obj) elif hasattr(old_obj, 'db_plugin_datas') and old_obj.db_plugin_datas is not None: for obj in old_obj.db_plugin_datas: new_obj.db_add_plugin_data(DBPluginData.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_plugin_datas') and hasattr(new_obj, 'db_deleted_plugin_datas'): for obj in old_obj.db_deleted_plugin_datas: n_obj = DBPluginData.update_version(obj, trans_dict) new_obj.db_deleted_plugin_datas.append(n_obj) if 'others' in class_dict: res = class_dict['others'](old_obj, trans_dict) for obj in res: new_obj.db_add_other(obj) elif hasattr(old_obj, 'db_others') and old_obj.db_others is not None: for obj in old_obj.db_others: new_obj.db_add_other(DBOther.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_others') and hasattr(new_obj, 'db_deleted_others'): for obj in old_obj.db_deleted_others: n_obj = DBOther.update_version(obj, trans_dict) new_obj.db_deleted_others.append(n_obj) if 'vistrail_id' in class_dict: res = class_dict['vistrail_id'](old_obj, trans_dict) new_obj.db_vistrail_id = res elif hasattr(old_obj, 'db_vistrail_id') and old_obj.db_vistrail_id is not None: new_obj.db_vistrail_id = old_obj.db_vistrail_id new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_connections: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_connection(child) to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) to_del = [] for child in self.db_plugin_datas: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_plugin_data(child) to_del = [] for child in self.db_others: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_other(child) to_del = [] for child in self.db_modules: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_module(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_connections) children.extend(self.db_deleted_annotations) children.extend(self.db_deleted_plugin_datas) children.extend(self.db_deleted_others) children.extend(self.db_deleted_modules) if remove: self.db_deleted_connections = [] self.db_deleted_annotations = [] self.db_deleted_plugin_datas = [] self.db_deleted_others = [] self.db_deleted_modules = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_connections: if child.has_changes(): return True for child in self._db_annotations: if child.has_changes(): return True for child in self._db_plugin_datas: if child.has_changes(): return True for child in self._db_others: if child.has_changes(): return True for child in self._db_modules: if child.has_changes(): return True return False def __get_db_modules(self): return self._db_modules def __set_db_modules(self, modules): self._db_modules = modules self.is_dirty = True db_modules = property(__get_db_modules, __set_db_modules) def db_get_modules(self): return self._db_modules def db_add_module(self, module): self.is_dirty = True self._db_modules.append(module) self.db_modules_id_index[module.db_id] = module def db_change_module(self, module): self.is_dirty = True found = False for i in xrange(len(self._db_modules)): if self._db_modules[i].db_id == module.db_id: self._db_modules[i] = module found = True break if not found: self._db_modules.append(module) self.db_modules_id_index[module.db_id] = module def db_delete_module(self, module): self.is_dirty = True for i in xrange(len(self._db_modules)): if self._db_modules[i].db_id == module.db_id: if not self._db_modules[i].is_new: self.db_deleted_modules.append(self._db_modules[i]) del self._db_modules[i] break del self.db_modules_id_index[module.db_id] def db_get_module(self, key): for i in xrange(len(self._db_modules)): if self._db_modules[i].db_id == key: return self._db_modules[i] return None def db_get_module_by_id(self, key): return self.db_modules_id_index[key] def db_has_module_with_id(self, key): return key in self.db_modules_id_index def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_entity_type(self): return self._db_entity_type def __set_db_entity_type(self, entity_type): self._db_entity_type = entity_type self.is_dirty = True db_entity_type = property(__get_db_entity_type, __set_db_entity_type) def db_add_entity_type(self, entity_type): self._db_entity_type = entity_type def db_change_entity_type(self, entity_type): self._db_entity_type = entity_type def db_delete_entity_type(self, entity_type): self._db_entity_type = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_last_modified(self): return self._db_last_modified def __set_db_last_modified(self, last_modified): self._db_last_modified = last_modified self.is_dirty = True db_last_modified = property(__get_db_last_modified, __set_db_last_modified) def db_add_last_modified(self, last_modified): self._db_last_modified = last_modified def db_change_last_modified(self, last_modified): self._db_last_modified = last_modified def db_delete_last_modified(self, last_modified): self._db_last_modified = None def __get_db_connections(self): return self._db_connections def __set_db_connections(self, connections): self._db_connections = connections self.is_dirty = True db_connections = property(__get_db_connections, __set_db_connections) def db_get_connections(self): return self._db_connections def db_add_connection(self, connection): self.is_dirty = True self._db_connections.append(connection) self.db_connections_id_index[connection.db_id] = connection def db_change_connection(self, connection): self.is_dirty = True found = False for i in xrange(len(self._db_connections)): if self._db_connections[i].db_id == connection.db_id: self._db_connections[i] = connection found = True break if not found: self._db_connections.append(connection) self.db_connections_id_index[connection.db_id] = connection def db_delete_connection(self, connection): self.is_dirty = True for i in xrange(len(self._db_connections)): if self._db_connections[i].db_id == connection.db_id: if not self._db_connections[i].is_new: self.db_deleted_connections.append(self._db_connections[i]) del self._db_connections[i] break del self.db_connections_id_index[connection.db_id] def db_get_connection(self, key): for i in xrange(len(self._db_connections)): if self._db_connections[i].db_id == key: return self._db_connections[i] return None def db_get_connection_by_id(self, key): return self.db_connections_id_index[key] def db_has_connection_with_id(self, key): return key in self.db_connections_id_index def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def __get_db_plugin_datas(self): return self._db_plugin_datas def __set_db_plugin_datas(self, plugin_datas): self._db_plugin_datas = plugin_datas self.is_dirty = True db_plugin_datas = property(__get_db_plugin_datas, __set_db_plugin_datas) def db_get_plugin_datas(self): return self._db_plugin_datas def db_add_plugin_data(self, plugin_data): self.is_dirty = True self._db_plugin_datas.append(plugin_data) self.db_plugin_datas_id_index[plugin_data.db_id] = plugin_data def db_change_plugin_data(self, plugin_data): self.is_dirty = True found = False for i in xrange(len(self._db_plugin_datas)): if self._db_plugin_datas[i].db_id == plugin_data.db_id: self._db_plugin_datas[i] = plugin_data found = True break if not found: self._db_plugin_datas.append(plugin_data) self.db_plugin_datas_id_index[plugin_data.db_id] = plugin_data def db_delete_plugin_data(self, plugin_data): self.is_dirty = True for i in xrange(len(self._db_plugin_datas)): if self._db_plugin_datas[i].db_id == plugin_data.db_id: if not self._db_plugin_datas[i].is_new: self.db_deleted_plugin_datas.append(self._db_plugin_datas[i]) del self._db_plugin_datas[i] break del self.db_plugin_datas_id_index[plugin_data.db_id] def db_get_plugin_data(self, key): for i in xrange(len(self._db_plugin_datas)): if self._db_plugin_datas[i].db_id == key: return self._db_plugin_datas[i] return None def db_get_plugin_data_by_id(self, key): return self.db_plugin_datas_id_index[key] def db_has_plugin_data_with_id(self, key): return key in self.db_plugin_datas_id_index def __get_db_others(self): return self._db_others def __set_db_others(self, others): self._db_others = others self.is_dirty = True db_others = property(__get_db_others, __set_db_others) def db_get_others(self): return self._db_others def db_add_other(self, other): self.is_dirty = True self._db_others.append(other) self.db_others_id_index[other.db_id] = other def db_change_other(self, other): self.is_dirty = True found = False for i in xrange(len(self._db_others)): if self._db_others[i].db_id == other.db_id: self._db_others[i] = other found = True break if not found: self._db_others.append(other) self.db_others_id_index[other.db_id] = other def db_delete_other(self, other): self.is_dirty = True for i in xrange(len(self._db_others)): if self._db_others[i].db_id == other.db_id: if not self._db_others[i].is_new: self.db_deleted_others.append(self._db_others[i]) del self._db_others[i] break del self.db_others_id_index[other.db_id] def db_get_other(self, key): for i in xrange(len(self._db_others)): if self._db_others[i].db_id == key: return self._db_others[i] return None def db_get_other_by_id(self, key): return self.db_others_id_index[key] def db_has_other_with_id(self, key): return key in self.db_others_id_index def __get_db_vistrail_id(self): return self._db_vistrail_id def __set_db_vistrail_id(self, vistrail_id): self._db_vistrail_id = vistrail_id self.is_dirty = True db_vistrail_id = property(__get_db_vistrail_id, __set_db_vistrail_id) def db_add_vistrail_id(self, vistrail_id): self._db_vistrail_id = vistrail_id def db_change_vistrail_id(self, vistrail_id): self._db_vistrail_id = vistrail_id def db_delete_vistrail_id(self, vistrail_id): self._db_vistrail_id = None def getPrimaryKey(self): return self._db_id class DBRegistry(object): vtType = 'registry' def __init__(self, id=None, entity_type=None, version=None, root_descriptor_id=None, name=None, last_modified=None, packages=None): self._db_id = id self._db_entity_type = entity_type self._db_version = version self._db_root_descriptor_id = root_descriptor_id self._db_name = name self._db_last_modified = last_modified self.db_deleted_packages = [] self.db_packages_id_index = {} self.db_packages_identifier_index = {} if packages is None: self._db_packages = [] else: self._db_packages = packages for v in self._db_packages: self.db_packages_id_index[v.db_id] = v self.db_packages_identifier_index[(v.db_identifier,v.db_version)] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBRegistry.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBRegistry(id=self._db_id, entity_type=self._db_entity_type, version=self._db_version, root_descriptor_id=self._db_root_descriptor_id, name=self._db_name, last_modified=self._db_last_modified) if self._db_packages is None: cp._db_packages = [] else: cp._db_packages = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_packages] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_root_descriptor_id') and ('module_descriptor', self._db_root_descriptor_id) in id_remap: cp._db_root_descriptor_id = id_remap[('module_descriptor', self._db_root_descriptor_id)] # recreate indices and set flags cp.db_packages_id_index = dict((v.db_id, v) for v in cp._db_packages) cp.db_packages_identifier_index = dict(((v.db_identifier,v.db_version), v) for v in cp._db_packages) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBRegistry() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'entity_type' in class_dict: res = class_dict['entity_type'](old_obj, trans_dict) new_obj.db_entity_type = res elif hasattr(old_obj, 'db_entity_type') and old_obj.db_entity_type is not None: new_obj.db_entity_type = old_obj.db_entity_type if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'root_descriptor_id' in class_dict: res = class_dict['root_descriptor_id'](old_obj, trans_dict) new_obj.db_root_descriptor_id = res elif hasattr(old_obj, 'db_root_descriptor_id') and old_obj.db_root_descriptor_id is not None: new_obj.db_root_descriptor_id = old_obj.db_root_descriptor_id if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'last_modified' in class_dict: res = class_dict['last_modified'](old_obj, trans_dict) new_obj.db_last_modified = res elif hasattr(old_obj, 'db_last_modified') and old_obj.db_last_modified is not None: new_obj.db_last_modified = old_obj.db_last_modified if 'packages' in class_dict: res = class_dict['packages'](old_obj, trans_dict) for obj in res: new_obj.db_add_package(obj) elif hasattr(old_obj, 'db_packages') and old_obj.db_packages is not None: for obj in old_obj.db_packages: new_obj.db_add_package(DBPackage.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_packages') and hasattr(new_obj, 'db_deleted_packages'): for obj in old_obj.db_deleted_packages: n_obj = DBPackage.update_version(obj, trans_dict) new_obj.db_deleted_packages.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_packages: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_package(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_packages) if remove: self.db_deleted_packages = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_packages: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_entity_type(self): return self._db_entity_type def __set_db_entity_type(self, entity_type): self._db_entity_type = entity_type self.is_dirty = True db_entity_type = property(__get_db_entity_type, __set_db_entity_type) def db_add_entity_type(self, entity_type): self._db_entity_type = entity_type def db_change_entity_type(self, entity_type): self._db_entity_type = entity_type def db_delete_entity_type(self, entity_type): self._db_entity_type = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_root_descriptor_id(self): return self._db_root_descriptor_id def __set_db_root_descriptor_id(self, root_descriptor_id): self._db_root_descriptor_id = root_descriptor_id self.is_dirty = True db_root_descriptor_id = property(__get_db_root_descriptor_id, __set_db_root_descriptor_id) def db_add_root_descriptor_id(self, root_descriptor_id): self._db_root_descriptor_id = root_descriptor_id def db_change_root_descriptor_id(self, root_descriptor_id): self._db_root_descriptor_id = root_descriptor_id def db_delete_root_descriptor_id(self, root_descriptor_id): self._db_root_descriptor_id = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_last_modified(self): return self._db_last_modified def __set_db_last_modified(self, last_modified): self._db_last_modified = last_modified self.is_dirty = True db_last_modified = property(__get_db_last_modified, __set_db_last_modified) def db_add_last_modified(self, last_modified): self._db_last_modified = last_modified def db_change_last_modified(self, last_modified): self._db_last_modified = last_modified def db_delete_last_modified(self, last_modified): self._db_last_modified = None def __get_db_packages(self): return self._db_packages def __set_db_packages(self, packages): self._db_packages = packages self.is_dirty = True db_packages = property(__get_db_packages, __set_db_packages) def db_get_packages(self): return self._db_packages def db_add_package(self, package): self.is_dirty = True self._db_packages.append(package) self.db_packages_id_index[package.db_id] = package self.db_packages_identifier_index[(package.db_identifier,package.db_version)] = package def db_change_package(self, package): self.is_dirty = True found = False for i in xrange(len(self._db_packages)): if self._db_packages[i].db_id == package.db_id: self._db_packages[i] = package found = True break if not found: self._db_packages.append(package) self.db_packages_id_index[package.db_id] = package self.db_packages_identifier_index[(package.db_identifier,package.db_version)] = package def db_delete_package(self, package): self.is_dirty = True for i in xrange(len(self._db_packages)): if self._db_packages[i].db_id == package.db_id: if not self._db_packages[i].is_new: self.db_deleted_packages.append(self._db_packages[i]) del self._db_packages[i] break del self.db_packages_id_index[package.db_id] del self.db_packages_identifier_index[(package.db_identifier,package.db_version)] def db_get_package(self, key): for i in xrange(len(self._db_packages)): if self._db_packages[i].db_id == key: return self._db_packages[i] return None def db_get_package_by_id(self, key): return self.db_packages_id_index[key] def db_has_package_with_id(self, key): return key in self.db_packages_id_index def db_get_package_by_identifier(self, key): return self.db_packages_identifier_index[key] def db_has_package_with_identifier(self, key): return key in self.db_packages_identifier_index def getPrimaryKey(self): return self._db_id class DBAnnotation(object): vtType = 'annotation' def __init__(self, id=None, key=None, value=None): self._db_id = id self._db_key = key self._db_value = value self.is_dirty = True self.is_new = True def __copy__(self): return DBAnnotation.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBAnnotation(id=self._db_id, key=self._db_key, value=self._db_value) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBAnnotation() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'key' in class_dict: res = class_dict['key'](old_obj, trans_dict) new_obj.db_key = res elif hasattr(old_obj, 'db_key') and old_obj.db_key is not None: new_obj.db_key = old_obj.db_key if 'value' in class_dict: res = class_dict['value'](old_obj, trans_dict) new_obj.db_value = res elif hasattr(old_obj, 'db_value') and old_obj.db_value is not None: new_obj.db_value = old_obj.db_value new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_key(self): return self._db_key def __set_db_key(self, key): self._db_key = key self.is_dirty = True db_key = property(__get_db_key, __set_db_key) def db_add_key(self, key): self._db_key = key def db_change_key(self, key): self._db_key = key def db_delete_key(self, key): self._db_key = None def __get_db_value(self): return self._db_value def __set_db_value(self, value): self._db_value = value self.is_dirty = True db_value = property(__get_db_value, __set_db_value) def db_add_value(self, value): self._db_value = value def db_change_value(self, value): self._db_value = value def db_delete_value(self, value): self._db_value = None def getPrimaryKey(self): return self._db_id class DBChange(object): vtType = 'change' def __init__(self, data=None, id=None, what=None, oldObjId=None, newObjId=None, parentObjId=None, parentObjType=None): self.db_deleted_data = [] self._db_data = data self._db_id = id self._db_what = what self._db_oldObjId = oldObjId self._db_newObjId = newObjId self._db_parentObjId = parentObjId self._db_parentObjType = parentObjType self.is_dirty = True self.is_new = True def __copy__(self): return DBChange.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBChange(id=self._db_id, what=self._db_what, oldObjId=self._db_oldObjId, newObjId=self._db_newObjId, parentObjId=self._db_parentObjId, parentObjType=self._db_parentObjType) if self._db_data is not None: cp._db_data = self._db_data.do_copy(new_ids, id_scope, id_remap) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_oldObjId') and (self._db_what, self._db_oldObjId) in id_remap: cp._db_oldObjId = id_remap[(self._db_what, self._db_oldObjId)] if hasattr(self, 'db_newObjId') and (self._db_what, self._db_newObjId) in id_remap: cp._db_newObjId = id_remap[(self._db_what, self._db_newObjId)] if hasattr(self, 'db_parentObjId') and (self._db_parentObjType, self._db_parentObjId) in id_remap: cp._db_parentObjId = id_remap[(self._db_parentObjType, self._db_parentObjId)] # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBChange() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'data' in class_dict: res = class_dict['data'](old_obj, trans_dict) new_obj.db_data = res elif hasattr(old_obj, 'db_data') and old_obj.db_data is not None: obj = old_obj.db_data if obj.vtType == 'module': new_obj.db_add_data(DBModule.update_version(obj, trans_dict)) elif obj.vtType == 'location': new_obj.db_add_data(DBLocation.update_version(obj, trans_dict)) elif obj.vtType == 'annotation': new_obj.db_add_data(DBAnnotation.update_version(obj, trans_dict)) elif obj.vtType == 'function': new_obj.db_add_data(DBFunction.update_version(obj, trans_dict)) elif obj.vtType == 'connection': new_obj.db_add_data(DBConnection.update_version(obj, trans_dict)) elif obj.vtType == 'port': new_obj.db_add_data(DBPort.update_version(obj, trans_dict)) elif obj.vtType == 'parameter': new_obj.db_add_data(DBParameter.update_version(obj, trans_dict)) elif obj.vtType == 'portSpec': new_obj.db_add_data(DBPortSpec.update_version(obj, trans_dict)) elif obj.vtType == 'abstraction': new_obj.db_add_data(DBAbstraction.update_version(obj, trans_dict)) elif obj.vtType == 'group': new_obj.db_add_data(DBGroup.update_version(obj, trans_dict)) elif obj.vtType == 'other': new_obj.db_add_data(DBOther.update_version(obj, trans_dict)) elif obj.vtType == 'plugin_data': new_obj.db_add_data(DBPluginData.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_data') and hasattr(new_obj, 'db_deleted_data'): for obj in old_obj.db_deleted_data: if obj.vtType == 'module': n_obj = DBModule.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'location': n_obj = DBLocation.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'annotation': n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'function': n_obj = DBFunction.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'connection': n_obj = DBConnection.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'port': n_obj = DBPort.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'parameter': n_obj = DBParameter.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'portSpec': n_obj = DBPortSpec.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'abstraction': n_obj = DBAbstraction.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'group': n_obj = DBGroup.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'other': n_obj = DBOther.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) elif obj.vtType == 'plugin_data': n_obj = DBPluginData.update_version(obj, trans_dict) new_obj.db_deleted_data.append(n_obj) if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'what' in class_dict: res = class_dict['what'](old_obj, trans_dict) new_obj.db_what = res elif hasattr(old_obj, 'db_what') and old_obj.db_what is not None: new_obj.db_what = old_obj.db_what if 'oldObjId' in class_dict: res = class_dict['oldObjId'](old_obj, trans_dict) new_obj.db_oldObjId = res elif hasattr(old_obj, 'db_oldObjId') and old_obj.db_oldObjId is not None: new_obj.db_oldObjId = old_obj.db_oldObjId if 'newObjId' in class_dict: res = class_dict['newObjId'](old_obj, trans_dict) new_obj.db_newObjId = res elif hasattr(old_obj, 'db_newObjId') and old_obj.db_newObjId is not None: new_obj.db_newObjId = old_obj.db_newObjId if 'parentObjId' in class_dict: res = class_dict['parentObjId'](old_obj, trans_dict) new_obj.db_parentObjId = res elif hasattr(old_obj, 'db_parentObjId') and old_obj.db_parentObjId is not None: new_obj.db_parentObjId = old_obj.db_parentObjId if 'parentObjType' in class_dict: res = class_dict['parentObjType'](old_obj, trans_dict) new_obj.db_parentObjType = res elif hasattr(old_obj, 'db_parentObjType') and old_obj.db_parentObjType is not None: new_obj.db_parentObjType = old_obj.db_parentObjType new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] if self._db_data is not None: children.extend(self._db_data.db_children((self.vtType, self.db_id), orphan)) if orphan: self._db_data = None children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_data) if remove: self.db_deleted_data = [] return children def has_changes(self): if self.is_dirty: return True if self._db_data is not None and self._db_data.has_changes(): return True return False def __get_db_data(self): return self._db_data def __set_db_data(self, data): self._db_data = data self.is_dirty = True db_data = property(__get_db_data, __set_db_data) def db_add_data(self, data): self._db_data = data def db_change_data(self, data): self._db_data = data def db_delete_data(self, data): if not self.is_new: self.db_deleted_data.append(self._db_data) self._db_data = None def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_what(self): return self._db_what def __set_db_what(self, what): self._db_what = what self.is_dirty = True db_what = property(__get_db_what, __set_db_what) def db_add_what(self, what): self._db_what = what def db_change_what(self, what): self._db_what = what def db_delete_what(self, what): self._db_what = None def __get_db_oldObjId(self): return self._db_oldObjId def __set_db_oldObjId(self, oldObjId): self._db_oldObjId = oldObjId self.is_dirty = True db_oldObjId = property(__get_db_oldObjId, __set_db_oldObjId) def db_add_oldObjId(self, oldObjId): self._db_oldObjId = oldObjId def db_change_oldObjId(self, oldObjId): self._db_oldObjId = oldObjId def db_delete_oldObjId(self, oldObjId): self._db_oldObjId = None def __get_db_newObjId(self): return self._db_newObjId def __set_db_newObjId(self, newObjId): self._db_newObjId = newObjId self.is_dirty = True db_newObjId = property(__get_db_newObjId, __set_db_newObjId) def db_add_newObjId(self, newObjId): self._db_newObjId = newObjId def db_change_newObjId(self, newObjId): self._db_newObjId = newObjId def db_delete_newObjId(self, newObjId): self._db_newObjId = None def __get_db_parentObjId(self): return self._db_parentObjId def __set_db_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId self.is_dirty = True db_parentObjId = property(__get_db_parentObjId, __set_db_parentObjId) def db_add_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId def db_change_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId def db_delete_parentObjId(self, parentObjId): self._db_parentObjId = None def __get_db_parentObjType(self): return self._db_parentObjType def __set_db_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType self.is_dirty = True db_parentObjType = property(__get_db_parentObjType, __set_db_parentObjType) def db_add_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType def db_change_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType def db_delete_parentObjType(self, parentObjType): self._db_parentObjType = None def getPrimaryKey(self): return self._db_id class DBGroupExec(object): vtType = 'group_exec' def __init__(self, id=None, ts_start=None, ts_end=None, cached=None, module_id=None, group_name=None, group_type=None, completed=None, error=None, machine_id=None, annotations=None, loop_execs=None, module_execs=None, group_execs=None): self._db_id = id self._db_ts_start = ts_start self._db_ts_end = ts_end self._db_cached = cached self._db_module_id = module_id self._db_group_name = group_name self._db_group_type = group_type self._db_completed = completed self._db_error = error self._db_machine_id = machine_id self.db_deleted_annotations = [] self.db_annotations_id_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_deleted_loop_execs = [] self.db_loop_execs_id_index = {} if loop_execs is None: self._db_loop_execs = [] else: self._db_loop_execs = loop_execs for v in self._db_loop_execs: self.db_loop_execs_id_index[v.db_id] = v self.db_deleted_module_execs = [] self.db_module_execs_id_index = {} if module_execs is None: self._db_module_execs = [] else: self._db_module_execs = module_execs for v in self._db_module_execs: self.db_module_execs_id_index[v.db_id] = v self.db_deleted_group_execs = [] self.db_group_execs_id_index = {} if group_execs is None: self._db_group_execs = [] else: self._db_group_execs = group_execs for v in self._db_group_execs: self.db_group_execs_id_index[v.db_id] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBGroupExec.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBGroupExec(id=self._db_id, ts_start=self._db_ts_start, ts_end=self._db_ts_end, cached=self._db_cached, module_id=self._db_module_id, group_name=self._db_group_name, group_type=self._db_group_type, completed=self._db_completed, error=self._db_error, machine_id=self._db_machine_id) if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] if self._db_loop_execs is None: cp._db_loop_execs = [] else: cp._db_loop_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_loop_execs] if self._db_module_execs is None: cp._db_module_execs = [] else: cp._db_module_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_module_execs] if self._db_group_execs is None: cp._db_group_execs = [] else: cp._db_group_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_group_execs] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_module_id') and ('module', self._db_module_id) in id_remap: cp._db_module_id = id_remap[('module', self._db_module_id)] if hasattr(self, 'db_machine_id') and ('machine', self._db_machine_id) in id_remap: cp._db_machine_id = id_remap[('machine', self._db_machine_id)] # recreate indices and set flags cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_loop_execs_id_index = dict((v.db_id, v) for v in cp._db_loop_execs) cp.db_module_execs_id_index = dict((v.db_id, v) for v in cp._db_module_execs) cp.db_group_execs_id_index = dict((v.db_id, v) for v in cp._db_group_execs) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBGroupExec() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'ts_start' in class_dict: res = class_dict['ts_start'](old_obj, trans_dict) new_obj.db_ts_start = res elif hasattr(old_obj, 'db_ts_start') and old_obj.db_ts_start is not None: new_obj.db_ts_start = old_obj.db_ts_start if 'ts_end' in class_dict: res = class_dict['ts_end'](old_obj, trans_dict) new_obj.db_ts_end = res elif hasattr(old_obj, 'db_ts_end') and old_obj.db_ts_end is not None: new_obj.db_ts_end = old_obj.db_ts_end if 'cached' in class_dict: res = class_dict['cached'](old_obj, trans_dict) new_obj.db_cached = res elif hasattr(old_obj, 'db_cached') and old_obj.db_cached is not None: new_obj.db_cached = old_obj.db_cached if 'module_id' in class_dict: res = class_dict['module_id'](old_obj, trans_dict) new_obj.db_module_id = res elif hasattr(old_obj, 'db_module_id') and old_obj.db_module_id is not None: new_obj.db_module_id = old_obj.db_module_id if 'group_name' in class_dict: res = class_dict['group_name'](old_obj, trans_dict) new_obj.db_group_name = res elif hasattr(old_obj, 'db_group_name') and old_obj.db_group_name is not None: new_obj.db_group_name = old_obj.db_group_name if 'group_type' in class_dict: res = class_dict['group_type'](old_obj, trans_dict) new_obj.db_group_type = res elif hasattr(old_obj, 'db_group_type') and old_obj.db_group_type is not None: new_obj.db_group_type = old_obj.db_group_type if 'completed' in class_dict: res = class_dict['completed'](old_obj, trans_dict) new_obj.db_completed = res elif hasattr(old_obj, 'db_completed') and old_obj.db_completed is not None: new_obj.db_completed = old_obj.db_completed if 'error' in class_dict: res = class_dict['error'](old_obj, trans_dict) new_obj.db_error = res elif hasattr(old_obj, 'db_error') and old_obj.db_error is not None: new_obj.db_error = old_obj.db_error if 'machine_id' in class_dict: res = class_dict['machine_id'](old_obj, trans_dict) new_obj.db_machine_id = res elif hasattr(old_obj, 'db_machine_id') and old_obj.db_machine_id is not None: new_obj.db_machine_id = old_obj.db_machine_id if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) if 'loop_execs' in class_dict: res = class_dict['loop_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_loop_exec(obj) elif hasattr(old_obj, 'db_loop_execs') and old_obj.db_loop_execs is not None: for obj in old_obj.db_loop_execs: new_obj.db_add_loop_exec(DBLoopExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_loop_execs') and hasattr(new_obj, 'db_deleted_loop_execs'): for obj in old_obj.db_deleted_loop_execs: n_obj = DBLoopExec.update_version(obj, trans_dict) new_obj.db_deleted_loop_execs.append(n_obj) if 'module_execs' in class_dict: res = class_dict['module_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_module_exec(obj) elif hasattr(old_obj, 'db_module_execs') and old_obj.db_module_execs is not None: for obj in old_obj.db_module_execs: new_obj.db_add_module_exec(DBModuleExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_module_execs') and hasattr(new_obj, 'db_deleted_module_execs'): for obj in old_obj.db_deleted_module_execs: n_obj = DBModuleExec.update_version(obj, trans_dict) new_obj.db_deleted_module_execs.append(n_obj) if 'group_execs' in class_dict: res = class_dict['group_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_group_exec(obj) elif hasattr(old_obj, 'db_group_execs') and old_obj.db_group_execs is not None: for obj in old_obj.db_group_execs: new_obj.db_add_group_exec(DBGroupExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_group_execs') and hasattr(new_obj, 'db_deleted_group_execs'): for obj in old_obj.db_deleted_group_execs: n_obj = DBGroupExec.update_version(obj, trans_dict) new_obj.db_deleted_group_execs.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) to_del = [] for child in self.db_loop_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_loop_exec(child) to_del = [] for child in self.db_module_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_module_exec(child) to_del = [] for child in self.db_group_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_group_exec(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_annotations) children.extend(self.db_deleted_loop_execs) children.extend(self.db_deleted_module_execs) children.extend(self.db_deleted_group_execs) if remove: self.db_deleted_annotations = [] self.db_deleted_loop_execs = [] self.db_deleted_module_execs = [] self.db_deleted_group_execs = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_annotations: if child.has_changes(): return True for child in self._db_loop_execs: if child.has_changes(): return True for child in self._db_module_execs: if child.has_changes(): return True for child in self._db_group_execs: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_ts_start(self): return self._db_ts_start def __set_db_ts_start(self, ts_start): self._db_ts_start = ts_start self.is_dirty = True db_ts_start = property(__get_db_ts_start, __set_db_ts_start) def db_add_ts_start(self, ts_start): self._db_ts_start = ts_start def db_change_ts_start(self, ts_start): self._db_ts_start = ts_start def db_delete_ts_start(self, ts_start): self._db_ts_start = None def __get_db_ts_end(self): return self._db_ts_end def __set_db_ts_end(self, ts_end): self._db_ts_end = ts_end self.is_dirty = True db_ts_end = property(__get_db_ts_end, __set_db_ts_end) def db_add_ts_end(self, ts_end): self._db_ts_end = ts_end def db_change_ts_end(self, ts_end): self._db_ts_end = ts_end def db_delete_ts_end(self, ts_end): self._db_ts_end = None def __get_db_cached(self): return self._db_cached def __set_db_cached(self, cached): self._db_cached = cached self.is_dirty = True db_cached = property(__get_db_cached, __set_db_cached) def db_add_cached(self, cached): self._db_cached = cached def db_change_cached(self, cached): self._db_cached = cached def db_delete_cached(self, cached): self._db_cached = None def __get_db_module_id(self): return self._db_module_id def __set_db_module_id(self, module_id): self._db_module_id = module_id self.is_dirty = True db_module_id = property(__get_db_module_id, __set_db_module_id) def db_add_module_id(self, module_id): self._db_module_id = module_id def db_change_module_id(self, module_id): self._db_module_id = module_id def db_delete_module_id(self, module_id): self._db_module_id = None def __get_db_group_name(self): return self._db_group_name def __set_db_group_name(self, group_name): self._db_group_name = group_name self.is_dirty = True db_group_name = property(__get_db_group_name, __set_db_group_name) def db_add_group_name(self, group_name): self._db_group_name = group_name def db_change_group_name(self, group_name): self._db_group_name = group_name def db_delete_group_name(self, group_name): self._db_group_name = None def __get_db_group_type(self): return self._db_group_type def __set_db_group_type(self, group_type): self._db_group_type = group_type self.is_dirty = True db_group_type = property(__get_db_group_type, __set_db_group_type) def db_add_group_type(self, group_type): self._db_group_type = group_type def db_change_group_type(self, group_type): self._db_group_type = group_type def db_delete_group_type(self, group_type): self._db_group_type = None def __get_db_completed(self): return self._db_completed def __set_db_completed(self, completed): self._db_completed = completed self.is_dirty = True db_completed = property(__get_db_completed, __set_db_completed) def db_add_completed(self, completed): self._db_completed = completed def db_change_completed(self, completed): self._db_completed = completed def db_delete_completed(self, completed): self._db_completed = None def __get_db_error(self): return self._db_error def __set_db_error(self, error): self._db_error = error self.is_dirty = True db_error = property(__get_db_error, __set_db_error) def db_add_error(self, error): self._db_error = error def db_change_error(self, error): self._db_error = error def db_delete_error(self, error): self._db_error = None def __get_db_machine_id(self): return self._db_machine_id def __set_db_machine_id(self, machine_id): self._db_machine_id = machine_id self.is_dirty = True db_machine_id = property(__get_db_machine_id, __set_db_machine_id) def db_add_machine_id(self, machine_id): self._db_machine_id = machine_id def db_change_machine_id(self, machine_id): self._db_machine_id = machine_id def db_delete_machine_id(self, machine_id): self._db_machine_id = None def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def __get_db_loop_execs(self): return self._db_loop_execs def __set_db_loop_execs(self, loop_execs): self._db_loop_execs = loop_execs self.is_dirty = True db_loop_execs = property(__get_db_loop_execs, __set_db_loop_execs) def db_get_loop_execs(self): return self._db_loop_execs def db_add_loop_exec(self, loop_exec): self.is_dirty = True self._db_loop_execs.append(loop_exec) self.db_loop_execs_id_index[loop_exec.db_id] = loop_exec def db_change_loop_exec(self, loop_exec): self.is_dirty = True found = False for i in xrange(len(self._db_loop_execs)): if self._db_loop_execs[i].db_id == loop_exec.db_id: self._db_loop_execs[i] = loop_exec found = True break if not found: self._db_loop_execs.append(loop_exec) self.db_loop_execs_id_index[loop_exec.db_id] = loop_exec def db_delete_loop_exec(self, loop_exec): self.is_dirty = True for i in xrange(len(self._db_loop_execs)): if self._db_loop_execs[i].db_id == loop_exec.db_id: if not self._db_loop_execs[i].is_new: self.db_deleted_loop_execs.append(self._db_loop_execs[i]) del self._db_loop_execs[i] break del self.db_loop_execs_id_index[loop_exec.db_id] def db_get_loop_exec(self, key): for i in xrange(len(self._db_loop_execs)): if self._db_loop_execs[i].db_id == key: return self._db_loop_execs[i] return None def db_get_loop_exec_by_id(self, key): return self.db_loop_execs_id_index[key] def db_has_loop_exec_with_id(self, key): return key in self.db_loop_execs_id_index def __get_db_module_execs(self): return self._db_module_execs def __set_db_module_execs(self, module_execs): self._db_module_execs = module_execs self.is_dirty = True db_module_execs = property(__get_db_module_execs, __set_db_module_execs) def db_get_module_execs(self): return self._db_module_execs def db_add_module_exec(self, module_exec): self.is_dirty = True self._db_module_execs.append(module_exec) self.db_module_execs_id_index[module_exec.db_id] = module_exec def db_change_module_exec(self, module_exec): self.is_dirty = True found = False for i in xrange(len(self._db_module_execs)): if self._db_module_execs[i].db_id == module_exec.db_id: self._db_module_execs[i] = module_exec found = True break if not found: self._db_module_execs.append(module_exec) self.db_module_execs_id_index[module_exec.db_id] = module_exec def db_delete_module_exec(self, module_exec): self.is_dirty = True for i in xrange(len(self._db_module_execs)): if self._db_module_execs[i].db_id == module_exec.db_id: if not self._db_module_execs[i].is_new: self.db_deleted_module_execs.append(self._db_module_execs[i]) del self._db_module_execs[i] break del self.db_module_execs_id_index[module_exec.db_id] def db_get_module_exec(self, key): for i in xrange(len(self._db_module_execs)): if self._db_module_execs[i].db_id == key: return self._db_module_execs[i] return None def db_get_module_exec_by_id(self, key): return self.db_module_execs_id_index[key] def db_has_module_exec_with_id(self, key): return key in self.db_module_execs_id_index def __get_db_group_execs(self): return self._db_group_execs def __set_db_group_execs(self, group_execs): self._db_group_execs = group_execs self.is_dirty = True db_group_execs = property(__get_db_group_execs, __set_db_group_execs) def db_get_group_execs(self): return self._db_group_execs def db_add_group_exec(self, group_exec): self.is_dirty = True self._db_group_execs.append(group_exec) self.db_group_execs_id_index[group_exec.db_id] = group_exec def db_change_group_exec(self, group_exec): self.is_dirty = True found = False for i in xrange(len(self._db_group_execs)): if self._db_group_execs[i].db_id == group_exec.db_id: self._db_group_execs[i] = group_exec found = True break if not found: self._db_group_execs.append(group_exec) self.db_group_execs_id_index[group_exec.db_id] = group_exec def db_delete_group_exec(self, group_exec): self.is_dirty = True for i in xrange(len(self._db_group_execs)): if self._db_group_execs[i].db_id == group_exec.db_id: if not self._db_group_execs[i].is_new: self.db_deleted_group_execs.append(self._db_group_execs[i]) del self._db_group_execs[i] break del self.db_group_execs_id_index[group_exec.db_id] def db_get_group_exec(self, key): for i in xrange(len(self._db_group_execs)): if self._db_group_execs[i].db_id == key: return self._db_group_execs[i] return None def db_get_group_exec_by_id(self, key): return self.db_group_execs_id_index[key] def db_has_group_exec_with_id(self, key): return key in self.db_group_execs_id_index def getPrimaryKey(self): return self._db_id class DBPackage(object): vtType = 'package' def __init__(self, id=None, name=None, identifier=None, codepath=None, load_configuration=None, version=None, description=None, module_descriptors=None): self._db_id = id self._db_name = name self._db_identifier = identifier self._db_codepath = codepath self._db_load_configuration = load_configuration self._db_version = version self._db_description = description self.db_deleted_module_descriptors = [] self.db_module_descriptors_id_index = {} self.db_module_descriptors_name_index = {} if module_descriptors is None: self._db_module_descriptors = [] else: self._db_module_descriptors = module_descriptors for v in self._db_module_descriptors: self.db_module_descriptors_id_index[v.db_id] = v self.db_module_descriptors_name_index[(v.db_name,v.db_namespace,v.db_version)] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBPackage.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBPackage(id=self._db_id, name=self._db_name, identifier=self._db_identifier, codepath=self._db_codepath, load_configuration=self._db_load_configuration, version=self._db_version, description=self._db_description) if self._db_module_descriptors is None: cp._db_module_descriptors = [] else: cp._db_module_descriptors = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_module_descriptors] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_module_descriptors_id_index = dict((v.db_id, v) for v in cp._db_module_descriptors) cp.db_module_descriptors_name_index = dict(((v.db_name,v.db_namespace,v.db_version), v) for v in cp._db_module_descriptors) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBPackage() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'identifier' in class_dict: res = class_dict['identifier'](old_obj, trans_dict) new_obj.db_identifier = res elif hasattr(old_obj, 'db_identifier') and old_obj.db_identifier is not None: new_obj.db_identifier = old_obj.db_identifier if 'codepath' in class_dict: res = class_dict['codepath'](old_obj, trans_dict) new_obj.db_codepath = res elif hasattr(old_obj, 'db_codepath') and old_obj.db_codepath is not None: new_obj.db_codepath = old_obj.db_codepath if 'load_configuration' in class_dict: res = class_dict['load_configuration'](old_obj, trans_dict) new_obj.db_load_configuration = res elif hasattr(old_obj, 'db_load_configuration') and old_obj.db_load_configuration is not None: new_obj.db_load_configuration = old_obj.db_load_configuration if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'description' in class_dict: res = class_dict['description'](old_obj, trans_dict) new_obj.db_description = res elif hasattr(old_obj, 'db_description') and old_obj.db_description is not None: new_obj.db_description = old_obj.db_description if 'module_descriptors' in class_dict: res = class_dict['module_descriptors'](old_obj, trans_dict) for obj in res: new_obj.db_add_module_descriptor(obj) elif hasattr(old_obj, 'db_module_descriptors') and old_obj.db_module_descriptors is not None: for obj in old_obj.db_module_descriptors: new_obj.db_add_module_descriptor(DBModuleDescriptor.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_module_descriptors') and hasattr(new_obj, 'db_deleted_module_descriptors'): for obj in old_obj.db_deleted_module_descriptors: n_obj = DBModuleDescriptor.update_version(obj, trans_dict) new_obj.db_deleted_module_descriptors.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_module_descriptors: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_module_descriptor(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_module_descriptors) if remove: self.db_deleted_module_descriptors = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_module_descriptors: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_identifier(self): return self._db_identifier def __set_db_identifier(self, identifier): self._db_identifier = identifier self.is_dirty = True db_identifier = property(__get_db_identifier, __set_db_identifier) def db_add_identifier(self, identifier): self._db_identifier = identifier def db_change_identifier(self, identifier): self._db_identifier = identifier def db_delete_identifier(self, identifier): self._db_identifier = None def __get_db_codepath(self): return self._db_codepath def __set_db_codepath(self, codepath): self._db_codepath = codepath self.is_dirty = True db_codepath = property(__get_db_codepath, __set_db_codepath) def db_add_codepath(self, codepath): self._db_codepath = codepath def db_change_codepath(self, codepath): self._db_codepath = codepath def db_delete_codepath(self, codepath): self._db_codepath = None def __get_db_load_configuration(self): return self._db_load_configuration def __set_db_load_configuration(self, load_configuration): self._db_load_configuration = load_configuration self.is_dirty = True db_load_configuration = property(__get_db_load_configuration, __set_db_load_configuration) def db_add_load_configuration(self, load_configuration): self._db_load_configuration = load_configuration def db_change_load_configuration(self, load_configuration): self._db_load_configuration = load_configuration def db_delete_load_configuration(self, load_configuration): self._db_load_configuration = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_description(self): return self._db_description def __set_db_description(self, description): self._db_description = description self.is_dirty = True db_description = property(__get_db_description, __set_db_description) def db_add_description(self, description): self._db_description = description def db_change_description(self, description): self._db_description = description def db_delete_description(self, description): self._db_description = None def __get_db_module_descriptors(self): return self._db_module_descriptors def __set_db_module_descriptors(self, module_descriptors): self._db_module_descriptors = module_descriptors self.is_dirty = True db_module_descriptors = property(__get_db_module_descriptors, __set_db_module_descriptors) def db_get_module_descriptors(self): return self._db_module_descriptors def db_add_module_descriptor(self, module_descriptor): self.is_dirty = True self._db_module_descriptors.append(module_descriptor) self.db_module_descriptors_id_index[module_descriptor.db_id] = module_descriptor self.db_module_descriptors_name_index[(module_descriptor.db_name,module_descriptor.db_namespace,module_descriptor.db_version)] = module_descriptor def db_change_module_descriptor(self, module_descriptor): self.is_dirty = True found = False for i in xrange(len(self._db_module_descriptors)): if self._db_module_descriptors[i].db_id == module_descriptor.db_id: self._db_module_descriptors[i] = module_descriptor found = True break if not found: self._db_module_descriptors.append(module_descriptor) self.db_module_descriptors_id_index[module_descriptor.db_id] = module_descriptor self.db_module_descriptors_name_index[(module_descriptor.db_name,module_descriptor.db_namespace,module_descriptor.db_version)] = module_descriptor def db_delete_module_descriptor(self, module_descriptor): self.is_dirty = True for i in xrange(len(self._db_module_descriptors)): if self._db_module_descriptors[i].db_id == module_descriptor.db_id: if not self._db_module_descriptors[i].is_new: self.db_deleted_module_descriptors.append(self._db_module_descriptors[i]) del self._db_module_descriptors[i] break del self.db_module_descriptors_id_index[module_descriptor.db_id] del self.db_module_descriptors_name_index[(module_descriptor.db_name,module_descriptor.db_namespace,module_descriptor.db_version)] def db_get_module_descriptor(self, key): for i in xrange(len(self._db_module_descriptors)): if self._db_module_descriptors[i].db_id == key: return self._db_module_descriptors[i] return None def db_get_module_descriptor_by_id(self, key): return self.db_module_descriptors_id_index[key] def db_has_module_descriptor_with_id(self, key): return key in self.db_module_descriptors_id_index def db_get_module_descriptor_by_name(self, key): return self.db_module_descriptors_name_index[key] def db_has_module_descriptor_with_name(self, key): return key in self.db_module_descriptors_name_index def getPrimaryKey(self): return self._db_id class DBWorkflowExec(object): vtType = 'workflow_exec' def __init__(self, items=None, id=None, user=None, ip=None, session=None, vt_version=None, ts_start=None, ts_end=None, parent_id=None, parent_type=None, parent_version=None, completed=None, name=None): self.db_deleted_items = [] self.db_items_id_index = {} if items is None: self._db_items = [] else: self._db_items = items for v in self._db_items: self.db_items_id_index[v.db_id] = v self._db_id = id self._db_user = user self._db_ip = ip self._db_session = session self._db_vt_version = vt_version self._db_ts_start = ts_start self._db_ts_end = ts_end self._db_parent_id = parent_id self._db_parent_type = parent_type self._db_parent_version = parent_version self._db_completed = completed self._db_name = name self.is_dirty = True self.is_new = True def __copy__(self): return DBWorkflowExec.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBWorkflowExec(id=self._db_id, user=self._db_user, ip=self._db_ip, session=self._db_session, vt_version=self._db_vt_version, ts_start=self._db_ts_start, ts_end=self._db_ts_end, parent_id=self._db_parent_id, parent_type=self._db_parent_type, parent_version=self._db_parent_version, completed=self._db_completed, name=self._db_name) if self._db_items is None: cp._db_items = [] else: cp._db_items = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_items] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_items_id_index = dict((v.db_id, v) for v in cp._db_items) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBWorkflowExec() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'items' in class_dict: res = class_dict['items'](old_obj, trans_dict) for obj in res: new_obj.db_add_item(obj) elif hasattr(old_obj, 'db_items') and old_obj.db_items is not None: for obj in old_obj.db_items: if obj.vtType == 'module_exec': new_obj.db_add_item(DBModuleExec.update_version(obj, trans_dict)) elif obj.vtType == 'group_exec': new_obj.db_add_item(DBGroupExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_items') and hasattr(new_obj, 'db_deleted_items'): for obj in old_obj.db_deleted_items: if obj.vtType == 'module_exec': n_obj = DBModuleExec.update_version(obj, trans_dict) new_obj.db_deleted_items.append(n_obj) elif obj.vtType == 'group_exec': n_obj = DBGroupExec.update_version(obj, trans_dict) new_obj.db_deleted_items.append(n_obj) if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'user' in class_dict: res = class_dict['user'](old_obj, trans_dict) new_obj.db_user = res elif hasattr(old_obj, 'db_user') and old_obj.db_user is not None: new_obj.db_user = old_obj.db_user if 'ip' in class_dict: res = class_dict['ip'](old_obj, trans_dict) new_obj.db_ip = res elif hasattr(old_obj, 'db_ip') and old_obj.db_ip is not None: new_obj.db_ip = old_obj.db_ip if 'session' in class_dict: res = class_dict['session'](old_obj, trans_dict) new_obj.db_session = res elif hasattr(old_obj, 'db_session') and old_obj.db_session is not None: new_obj.db_session = old_obj.db_session if 'vt_version' in class_dict: res = class_dict['vt_version'](old_obj, trans_dict) new_obj.db_vt_version = res elif hasattr(old_obj, 'db_vt_version') and old_obj.db_vt_version is not None: new_obj.db_vt_version = old_obj.db_vt_version if 'ts_start' in class_dict: res = class_dict['ts_start'](old_obj, trans_dict) new_obj.db_ts_start = res elif hasattr(old_obj, 'db_ts_start') and old_obj.db_ts_start is not None: new_obj.db_ts_start = old_obj.db_ts_start if 'ts_end' in class_dict: res = class_dict['ts_end'](old_obj, trans_dict) new_obj.db_ts_end = res elif hasattr(old_obj, 'db_ts_end') and old_obj.db_ts_end is not None: new_obj.db_ts_end = old_obj.db_ts_end if 'parent_id' in class_dict: res = class_dict['parent_id'](old_obj, trans_dict) new_obj.db_parent_id = res elif hasattr(old_obj, 'db_parent_id') and old_obj.db_parent_id is not None: new_obj.db_parent_id = old_obj.db_parent_id if 'parent_type' in class_dict: res = class_dict['parent_type'](old_obj, trans_dict) new_obj.db_parent_type = res elif hasattr(old_obj, 'db_parent_type') and old_obj.db_parent_type is not None: new_obj.db_parent_type = old_obj.db_parent_type if 'parent_version' in class_dict: res = class_dict['parent_version'](old_obj, trans_dict) new_obj.db_parent_version = res elif hasattr(old_obj, 'db_parent_version') and old_obj.db_parent_version is not None: new_obj.db_parent_version = old_obj.db_parent_version if 'completed' in class_dict: res = class_dict['completed'](old_obj, trans_dict) new_obj.db_completed = res elif hasattr(old_obj, 'db_completed') and old_obj.db_completed is not None: new_obj.db_completed = old_obj.db_completed if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_items: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_item(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_items) if remove: self.db_deleted_items = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_items: if child.has_changes(): return True return False def __get_db_items(self): return self._db_items def __set_db_items(self, items): self._db_items = items self.is_dirty = True db_items = property(__get_db_items, __set_db_items) def db_get_items(self): return self._db_items def db_add_item(self, item): self.is_dirty = True self._db_items.append(item) self.db_items_id_index[item.db_id] = item def db_change_item(self, item): self.is_dirty = True found = False for i in xrange(len(self._db_items)): if self._db_items[i].db_id == item.db_id: self._db_items[i] = item found = True break if not found: self._db_items.append(item) self.db_items_id_index[item.db_id] = item def db_delete_item(self, item): self.is_dirty = True for i in xrange(len(self._db_items)): if self._db_items[i].db_id == item.db_id: if not self._db_items[i].is_new: self.db_deleted_items.append(self._db_items[i]) del self._db_items[i] break del self.db_items_id_index[item.db_id] def db_get_item(self, key): for i in xrange(len(self._db_items)): if self._db_items[i].db_id == key: return self._db_items[i] return None def db_get_item_by_id(self, key): return self.db_items_id_index[key] def db_has_item_with_id(self, key): return key in self.db_items_id_index def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_user(self): return self._db_user def __set_db_user(self, user): self._db_user = user self.is_dirty = True db_user = property(__get_db_user, __set_db_user) def db_add_user(self, user): self._db_user = user def db_change_user(self, user): self._db_user = user def db_delete_user(self, user): self._db_user = None def __get_db_ip(self): return self._db_ip def __set_db_ip(self, ip): self._db_ip = ip self.is_dirty = True db_ip = property(__get_db_ip, __set_db_ip) def db_add_ip(self, ip): self._db_ip = ip def db_change_ip(self, ip): self._db_ip = ip def db_delete_ip(self, ip): self._db_ip = None def __get_db_session(self): return self._db_session def __set_db_session(self, session): self._db_session = session self.is_dirty = True db_session = property(__get_db_session, __set_db_session) def db_add_session(self, session): self._db_session = session def db_change_session(self, session): self._db_session = session def db_delete_session(self, session): self._db_session = None def __get_db_vt_version(self): return self._db_vt_version def __set_db_vt_version(self, vt_version): self._db_vt_version = vt_version self.is_dirty = True db_vt_version = property(__get_db_vt_version, __set_db_vt_version) def db_add_vt_version(self, vt_version): self._db_vt_version = vt_version def db_change_vt_version(self, vt_version): self._db_vt_version = vt_version def db_delete_vt_version(self, vt_version): self._db_vt_version = None def __get_db_ts_start(self): return self._db_ts_start def __set_db_ts_start(self, ts_start): self._db_ts_start = ts_start self.is_dirty = True db_ts_start = property(__get_db_ts_start, __set_db_ts_start) def db_add_ts_start(self, ts_start): self._db_ts_start = ts_start def db_change_ts_start(self, ts_start): self._db_ts_start = ts_start def db_delete_ts_start(self, ts_start): self._db_ts_start = None def __get_db_ts_end(self): return self._db_ts_end def __set_db_ts_end(self, ts_end): self._db_ts_end = ts_end self.is_dirty = True db_ts_end = property(__get_db_ts_end, __set_db_ts_end) def db_add_ts_end(self, ts_end): self._db_ts_end = ts_end def db_change_ts_end(self, ts_end): self._db_ts_end = ts_end def db_delete_ts_end(self, ts_end): self._db_ts_end = None def __get_db_parent_id(self): return self._db_parent_id def __set_db_parent_id(self, parent_id): self._db_parent_id = parent_id self.is_dirty = True db_parent_id = property(__get_db_parent_id, __set_db_parent_id) def db_add_parent_id(self, parent_id): self._db_parent_id = parent_id def db_change_parent_id(self, parent_id): self._db_parent_id = parent_id def db_delete_parent_id(self, parent_id): self._db_parent_id = None def __get_db_parent_type(self): return self._db_parent_type def __set_db_parent_type(self, parent_type): self._db_parent_type = parent_type self.is_dirty = True db_parent_type = property(__get_db_parent_type, __set_db_parent_type) def db_add_parent_type(self, parent_type): self._db_parent_type = parent_type def db_change_parent_type(self, parent_type): self._db_parent_type = parent_type def db_delete_parent_type(self, parent_type): self._db_parent_type = None def __get_db_parent_version(self): return self._db_parent_version def __set_db_parent_version(self, parent_version): self._db_parent_version = parent_version self.is_dirty = True db_parent_version = property(__get_db_parent_version, __set_db_parent_version) def db_add_parent_version(self, parent_version): self._db_parent_version = parent_version def db_change_parent_version(self, parent_version): self._db_parent_version = parent_version def db_delete_parent_version(self, parent_version): self._db_parent_version = None def __get_db_completed(self): return self._db_completed def __set_db_completed(self, completed): self._db_completed = completed self.is_dirty = True db_completed = property(__get_db_completed, __set_db_completed) def db_add_completed(self, completed): self._db_completed = completed def db_change_completed(self, completed): self._db_completed = completed def db_delete_completed(self, completed): self._db_completed = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def getPrimaryKey(self): return self._db_id class DBLoopExec(object): vtType = 'loop_exec' def __init__(self, id=None, ts_start=None, ts_end=None, completed=None, error=None, module_execs=None, group_execs=None): self._db_id = id self._db_ts_start = ts_start self._db_ts_end = ts_end self._db_completed = completed self._db_error = error self.db_deleted_module_execs = [] self.db_module_execs_id_index = {} if module_execs is None: self._db_module_execs = [] else: self._db_module_execs = module_execs for v in self._db_module_execs: self.db_module_execs_id_index[v.db_id] = v self.db_deleted_group_execs = [] self.db_group_execs_id_index = {} if group_execs is None: self._db_group_execs = [] else: self._db_group_execs = group_execs for v in self._db_group_execs: self.db_group_execs_id_index[v.db_id] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBLoopExec.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBLoopExec(id=self._db_id, ts_start=self._db_ts_start, ts_end=self._db_ts_end, completed=self._db_completed, error=self._db_error) if self._db_module_execs is None: cp._db_module_execs = [] else: cp._db_module_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_module_execs] if self._db_group_execs is None: cp._db_group_execs = [] else: cp._db_group_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_group_execs] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_module_execs_id_index = dict((v.db_id, v) for v in cp._db_module_execs) cp.db_group_execs_id_index = dict((v.db_id, v) for v in cp._db_group_execs) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBLoopExec() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'ts_start' in class_dict: res = class_dict['ts_start'](old_obj, trans_dict) new_obj.db_ts_start = res elif hasattr(old_obj, 'db_ts_start') and old_obj.db_ts_start is not None: new_obj.db_ts_start = old_obj.db_ts_start if 'ts_end' in class_dict: res = class_dict['ts_end'](old_obj, trans_dict) new_obj.db_ts_end = res elif hasattr(old_obj, 'db_ts_end') and old_obj.db_ts_end is not None: new_obj.db_ts_end = old_obj.db_ts_end if 'completed' in class_dict: res = class_dict['completed'](old_obj, trans_dict) new_obj.db_completed = res elif hasattr(old_obj, 'db_completed') and old_obj.db_completed is not None: new_obj.db_completed = old_obj.db_completed if 'error' in class_dict: res = class_dict['error'](old_obj, trans_dict) new_obj.db_error = res elif hasattr(old_obj, 'db_error') and old_obj.db_error is not None: new_obj.db_error = old_obj.db_error if 'module_execs' in class_dict: res = class_dict['module_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_module_exec(obj) elif hasattr(old_obj, 'db_module_execs') and old_obj.db_module_execs is not None: for obj in old_obj.db_module_execs: new_obj.db_add_module_exec(DBModuleExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_module_execs') and hasattr(new_obj, 'db_deleted_module_execs'): for obj in old_obj.db_deleted_module_execs: n_obj = DBModuleExec.update_version(obj, trans_dict) new_obj.db_deleted_module_execs.append(n_obj) if 'group_execs' in class_dict: res = class_dict['group_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_group_exec(obj) elif hasattr(old_obj, 'db_group_execs') and old_obj.db_group_execs is not None: for obj in old_obj.db_group_execs: new_obj.db_add_group_exec(DBGroupExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_group_execs') and hasattr(new_obj, 'db_deleted_group_execs'): for obj in old_obj.db_deleted_group_execs: n_obj = DBGroupExec.update_version(obj, trans_dict) new_obj.db_deleted_group_execs.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_module_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_module_exec(child) to_del = [] for child in self.db_group_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_group_exec(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_module_execs) children.extend(self.db_deleted_group_execs) if remove: self.db_deleted_module_execs = [] self.db_deleted_group_execs = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_module_execs: if child.has_changes(): return True for child in self._db_group_execs: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_ts_start(self): return self._db_ts_start def __set_db_ts_start(self, ts_start): self._db_ts_start = ts_start self.is_dirty = True db_ts_start = property(__get_db_ts_start, __set_db_ts_start) def db_add_ts_start(self, ts_start): self._db_ts_start = ts_start def db_change_ts_start(self, ts_start): self._db_ts_start = ts_start def db_delete_ts_start(self, ts_start): self._db_ts_start = None def __get_db_ts_end(self): return self._db_ts_end def __set_db_ts_end(self, ts_end): self._db_ts_end = ts_end self.is_dirty = True db_ts_end = property(__get_db_ts_end, __set_db_ts_end) def db_add_ts_end(self, ts_end): self._db_ts_end = ts_end def db_change_ts_end(self, ts_end): self._db_ts_end = ts_end def db_delete_ts_end(self, ts_end): self._db_ts_end = None def __get_db_completed(self): return self._db_completed def __set_db_completed(self, completed): self._db_completed = completed self.is_dirty = True db_completed = property(__get_db_completed, __set_db_completed) def db_add_completed(self, completed): self._db_completed = completed def db_change_completed(self, completed): self._db_completed = completed def db_delete_completed(self, completed): self._db_completed = None def __get_db_error(self): return self._db_error def __set_db_error(self, error): self._db_error = error self.is_dirty = True db_error = property(__get_db_error, __set_db_error) def db_add_error(self, error): self._db_error = error def db_change_error(self, error): self._db_error = error def db_delete_error(self, error): self._db_error = None def __get_db_module_execs(self): return self._db_module_execs def __set_db_module_execs(self, module_execs): self._db_module_execs = module_execs self.is_dirty = True db_module_execs = property(__get_db_module_execs, __set_db_module_execs) def db_get_module_execs(self): return self._db_module_execs def db_add_module_exec(self, module_exec): self.is_dirty = True self._db_module_execs.append(module_exec) self.db_module_execs_id_index[module_exec.db_id] = module_exec def db_change_module_exec(self, module_exec): self.is_dirty = True found = False for i in xrange(len(self._db_module_execs)): if self._db_module_execs[i].db_id == module_exec.db_id: self._db_module_execs[i] = module_exec found = True break if not found: self._db_module_execs.append(module_exec) self.db_module_execs_id_index[module_exec.db_id] = module_exec def db_delete_module_exec(self, module_exec): self.is_dirty = True for i in xrange(len(self._db_module_execs)): if self._db_module_execs[i].db_id == module_exec.db_id: if not self._db_module_execs[i].is_new: self.db_deleted_module_execs.append(self._db_module_execs[i]) del self._db_module_execs[i] break del self.db_module_execs_id_index[module_exec.db_id] def db_get_module_exec(self, key): for i in xrange(len(self._db_module_execs)): if self._db_module_execs[i].db_id == key: return self._db_module_execs[i] return None def db_get_module_exec_by_id(self, key): return self.db_module_execs_id_index[key] def db_has_module_exec_with_id(self, key): return key in self.db_module_execs_id_index def __get_db_group_execs(self): return self._db_group_execs def __set_db_group_execs(self, group_execs): self._db_group_execs = group_execs self.is_dirty = True db_group_execs = property(__get_db_group_execs, __set_db_group_execs) def db_get_group_execs(self): return self._db_group_execs def db_add_group_exec(self, group_exec): self.is_dirty = True self._db_group_execs.append(group_exec) self.db_group_execs_id_index[group_exec.db_id] = group_exec def db_change_group_exec(self, group_exec): self.is_dirty = True found = False for i in xrange(len(self._db_group_execs)): if self._db_group_execs[i].db_id == group_exec.db_id: self._db_group_execs[i] = group_exec found = True break if not found: self._db_group_execs.append(group_exec) self.db_group_execs_id_index[group_exec.db_id] = group_exec def db_delete_group_exec(self, group_exec): self.is_dirty = True for i in xrange(len(self._db_group_execs)): if self._db_group_execs[i].db_id == group_exec.db_id: if not self._db_group_execs[i].is_new: self.db_deleted_group_execs.append(self._db_group_execs[i]) del self._db_group_execs[i] break del self.db_group_execs_id_index[group_exec.db_id] def db_get_group_exec(self, key): for i in xrange(len(self._db_group_execs)): if self._db_group_execs[i].db_id == key: return self._db_group_execs[i] return None def db_get_group_exec_by_id(self, key): return self.db_group_execs_id_index[key] def db_has_group_exec_with_id(self, key): return key in self.db_group_execs_id_index def getPrimaryKey(self): return self._db_id class DBConnection(object): vtType = 'connection' def __init__(self, id=None, ports=None): self._db_id = id self.db_deleted_ports = [] self.db_ports_id_index = {} self.db_ports_type_index = {} if ports is None: self._db_ports = [] else: self._db_ports = ports for v in self._db_ports: self.db_ports_id_index[v.db_id] = v self.db_ports_type_index[v.db_type] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBConnection.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBConnection(id=self._db_id) if self._db_ports is None: cp._db_ports = [] else: cp._db_ports = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_ports] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_ports_id_index = dict((v.db_id, v) for v in cp._db_ports) cp.db_ports_type_index = dict((v.db_type, v) for v in cp._db_ports) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBConnection() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'ports' in class_dict: res = class_dict['ports'](old_obj, trans_dict) for obj in res: new_obj.db_add_port(obj) elif hasattr(old_obj, 'db_ports') and old_obj.db_ports is not None: for obj in old_obj.db_ports: new_obj.db_add_port(DBPort.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_ports') and hasattr(new_obj, 'db_deleted_ports'): for obj in old_obj.db_deleted_ports: n_obj = DBPort.update_version(obj, trans_dict) new_obj.db_deleted_ports.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_ports: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_port(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_ports) if remove: self.db_deleted_ports = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_ports: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_ports(self): return self._db_ports def __set_db_ports(self, ports): self._db_ports = ports self.is_dirty = True db_ports = property(__get_db_ports, __set_db_ports) def db_get_ports(self): return self._db_ports def db_add_port(self, port): self.is_dirty = True self._db_ports.append(port) self.db_ports_id_index[port.db_id] = port self.db_ports_type_index[port.db_type] = port def db_change_port(self, port): self.is_dirty = True found = False for i in xrange(len(self._db_ports)): if self._db_ports[i].db_id == port.db_id: self._db_ports[i] = port found = True break if not found: self._db_ports.append(port) self.db_ports_id_index[port.db_id] = port self.db_ports_type_index[port.db_type] = port def db_delete_port(self, port): self.is_dirty = True for i in xrange(len(self._db_ports)): if self._db_ports[i].db_id == port.db_id: if not self._db_ports[i].is_new: self.db_deleted_ports.append(self._db_ports[i]) del self._db_ports[i] break del self.db_ports_id_index[port.db_id] del self.db_ports_type_index[port.db_type] def db_get_port(self, key): for i in xrange(len(self._db_ports)): if self._db_ports[i].db_id == key: return self._db_ports[i] return None def db_get_port_by_id(self, key): return self.db_ports_id_index[key] def db_has_port_with_id(self, key): return key in self.db_ports_id_index def db_get_port_by_type(self, key): return self.db_ports_type_index[key] def db_has_port_with_type(self, key): return key in self.db_ports_type_index def getPrimaryKey(self): return self._db_id class DBAction(object): vtType = 'action' def __init__(self, operations=None, id=None, prevId=None, date=None, session=None, user=None, prune=None, annotations=None): self.db_deleted_operations = [] self.db_operations_id_index = {} if operations is None: self._db_operations = [] else: self._db_operations = operations for v in self._db_operations: self.db_operations_id_index[v.db_id] = v self._db_id = id self._db_prevId = prevId self._db_date = date self._db_session = session self._db_user = user self._db_prune = prune self.db_deleted_annotations = [] self.db_annotations_id_index = {} self.db_annotations_key_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_annotations_key_index[v.db_key] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBAction.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBAction(id=self._db_id, prevId=self._db_prevId, date=self._db_date, session=self._db_session, user=self._db_user, prune=self._db_prune) if self._db_operations is None: cp._db_operations = [] else: cp._db_operations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_operations] if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_prevId') and ('action', self._db_prevId) in id_remap: cp._db_prevId = id_remap[('action', self._db_prevId)] # recreate indices and set flags cp.db_operations_id_index = dict((v.db_id, v) for v in cp._db_operations) cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_annotations_key_index = dict((v.db_key, v) for v in cp._db_annotations) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBAction() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'operations' in class_dict: res = class_dict['operations'](old_obj, trans_dict) for obj in res: new_obj.db_add_operation(obj) elif hasattr(old_obj, 'db_operations') and old_obj.db_operations is not None: for obj in old_obj.db_operations: if obj.vtType == 'add': new_obj.db_add_operation(DBAdd.update_version(obj, trans_dict)) elif obj.vtType == 'delete': new_obj.db_add_operation(DBDelete.update_version(obj, trans_dict)) elif obj.vtType == 'change': new_obj.db_add_operation(DBChange.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_operations') and hasattr(new_obj, 'db_deleted_operations'): for obj in old_obj.db_deleted_operations: if obj.vtType == 'add': n_obj = DBAdd.update_version(obj, trans_dict) new_obj.db_deleted_operations.append(n_obj) elif obj.vtType == 'delete': n_obj = DBDelete.update_version(obj, trans_dict) new_obj.db_deleted_operations.append(n_obj) elif obj.vtType == 'change': n_obj = DBChange.update_version(obj, trans_dict) new_obj.db_deleted_operations.append(n_obj) if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'prevId' in class_dict: res = class_dict['prevId'](old_obj, trans_dict) new_obj.db_prevId = res elif hasattr(old_obj, 'db_prevId') and old_obj.db_prevId is not None: new_obj.db_prevId = old_obj.db_prevId if 'date' in class_dict: res = class_dict['date'](old_obj, trans_dict) new_obj.db_date = res elif hasattr(old_obj, 'db_date') and old_obj.db_date is not None: new_obj.db_date = old_obj.db_date if 'session' in class_dict: res = class_dict['session'](old_obj, trans_dict) new_obj.db_session = res elif hasattr(old_obj, 'db_session') and old_obj.db_session is not None: new_obj.db_session = old_obj.db_session if 'user' in class_dict: res = class_dict['user'](old_obj, trans_dict) new_obj.db_user = res elif hasattr(old_obj, 'db_user') and old_obj.db_user is not None: new_obj.db_user = old_obj.db_user if 'prune' in class_dict: res = class_dict['prune'](old_obj, trans_dict) new_obj.db_prune = res elif hasattr(old_obj, 'db_prune') and old_obj.db_prune is not None: new_obj.db_prune = old_obj.db_prune if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) to_del = [] for child in self.db_operations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_operation(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_annotations) children.extend(self.db_deleted_operations) if remove: self.db_deleted_annotations = [] self.db_deleted_operations = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_annotations: if child.has_changes(): return True for child in self._db_operations: if child.has_changes(): return True return False def __get_db_operations(self): return self._db_operations def __set_db_operations(self, operations): self._db_operations = operations self.is_dirty = True db_operations = property(__get_db_operations, __set_db_operations) def db_get_operations(self): return self._db_operations def db_add_operation(self, operation): self.is_dirty = True self._db_operations.append(operation) self.db_operations_id_index[operation.db_id] = operation def db_change_operation(self, operation): self.is_dirty = True found = False for i in xrange(len(self._db_operations)): if self._db_operations[i].db_id == operation.db_id: self._db_operations[i] = operation found = True break if not found: self._db_operations.append(operation) self.db_operations_id_index[operation.db_id] = operation def db_delete_operation(self, operation): self.is_dirty = True for i in xrange(len(self._db_operations)): if self._db_operations[i].db_id == operation.db_id: if not self._db_operations[i].is_new: self.db_deleted_operations.append(self._db_operations[i]) del self._db_operations[i] break del self.db_operations_id_index[operation.db_id] def db_get_operation(self, key): for i in xrange(len(self._db_operations)): if self._db_operations[i].db_id == key: return self._db_operations[i] return None def db_get_operation_by_id(self, key): return self.db_operations_id_index[key] def db_has_operation_with_id(self, key): return key in self.db_operations_id_index def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_prevId(self): return self._db_prevId def __set_db_prevId(self, prevId): self._db_prevId = prevId self.is_dirty = True db_prevId = property(__get_db_prevId, __set_db_prevId) def db_add_prevId(self, prevId): self._db_prevId = prevId def db_change_prevId(self, prevId): self._db_prevId = prevId def db_delete_prevId(self, prevId): self._db_prevId = None def __get_db_date(self): return self._db_date def __set_db_date(self, date): self._db_date = date self.is_dirty = True db_date = property(__get_db_date, __set_db_date) def db_add_date(self, date): self._db_date = date def db_change_date(self, date): self._db_date = date def db_delete_date(self, date): self._db_date = None def __get_db_session(self): return self._db_session def __set_db_session(self, session): self._db_session = session self.is_dirty = True db_session = property(__get_db_session, __set_db_session) def db_add_session(self, session): self._db_session = session def db_change_session(self, session): self._db_session = session def db_delete_session(self, session): self._db_session = None def __get_db_user(self): return self._db_user def __set_db_user(self, user): self._db_user = user self.is_dirty = True db_user = property(__get_db_user, __set_db_user) def db_add_user(self, user): self._db_user = user def db_change_user(self, user): self._db_user = user def db_delete_user(self, user): self._db_user = None def __get_db_prune(self): return self._db_prune def __set_db_prune(self, prune): self._db_prune = prune self.is_dirty = True db_prune = property(__get_db_prune, __set_db_prune) def db_add_prune(self, prune): self._db_prune = prune def db_change_prune(self, prune): self._db_prune = prune def db_delete_prune(self, prune): self._db_prune = None def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] del self.db_annotations_key_index[annotation.db_key] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def db_get_annotation_by_key(self, key): return self.db_annotations_key_index[key] def db_has_annotation_with_key(self, key): return key in self.db_annotations_key_index def getPrimaryKey(self): return self._db_id class DBDelete(object): vtType = 'delete' def __init__(self, id=None, what=None, objectId=None, parentObjId=None, parentObjType=None): self._db_id = id self._db_what = what self._db_objectId = objectId self._db_parentObjId = parentObjId self._db_parentObjType = parentObjType self.is_dirty = True self.is_new = True def __copy__(self): return DBDelete.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBDelete(id=self._db_id, what=self._db_what, objectId=self._db_objectId, parentObjId=self._db_parentObjId, parentObjType=self._db_parentObjType) # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_objectId') and (self._db_what, self._db_objectId) in id_remap: cp._db_objectId = id_remap[(self._db_what, self._db_objectId)] if hasattr(self, 'db_parentObjId') and (self._db_parentObjType, self._db_parentObjId) in id_remap: cp._db_parentObjId = id_remap[(self._db_parentObjType, self._db_parentObjId)] # recreate indices and set flags if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBDelete() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'what' in class_dict: res = class_dict['what'](old_obj, trans_dict) new_obj.db_what = res elif hasattr(old_obj, 'db_what') and old_obj.db_what is not None: new_obj.db_what = old_obj.db_what if 'objectId' in class_dict: res = class_dict['objectId'](old_obj, trans_dict) new_obj.db_objectId = res elif hasattr(old_obj, 'db_objectId') and old_obj.db_objectId is not None: new_obj.db_objectId = old_obj.db_objectId if 'parentObjId' in class_dict: res = class_dict['parentObjId'](old_obj, trans_dict) new_obj.db_parentObjId = res elif hasattr(old_obj, 'db_parentObjId') and old_obj.db_parentObjId is not None: new_obj.db_parentObjId = old_obj.db_parentObjId if 'parentObjType' in class_dict: res = class_dict['parentObjType'](old_obj, trans_dict) new_obj.db_parentObjType = res elif hasattr(old_obj, 'db_parentObjType') and old_obj.db_parentObjType is not None: new_obj.db_parentObjType = old_obj.db_parentObjType new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): return [(self, parent[0], parent[1])] def db_deleted_children(self, remove=False): children = [] return children def has_changes(self): if self.is_dirty: return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_what(self): return self._db_what def __set_db_what(self, what): self._db_what = what self.is_dirty = True db_what = property(__get_db_what, __set_db_what) def db_add_what(self, what): self._db_what = what def db_change_what(self, what): self._db_what = what def db_delete_what(self, what): self._db_what = None def __get_db_objectId(self): return self._db_objectId def __set_db_objectId(self, objectId): self._db_objectId = objectId self.is_dirty = True db_objectId = property(__get_db_objectId, __set_db_objectId) def db_add_objectId(self, objectId): self._db_objectId = objectId def db_change_objectId(self, objectId): self._db_objectId = objectId def db_delete_objectId(self, objectId): self._db_objectId = None def __get_db_parentObjId(self): return self._db_parentObjId def __set_db_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId self.is_dirty = True db_parentObjId = property(__get_db_parentObjId, __set_db_parentObjId) def db_add_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId def db_change_parentObjId(self, parentObjId): self._db_parentObjId = parentObjId def db_delete_parentObjId(self, parentObjId): self._db_parentObjId = None def __get_db_parentObjType(self): return self._db_parentObjType def __set_db_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType self.is_dirty = True db_parentObjType = property(__get_db_parentObjType, __set_db_parentObjType) def db_add_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType def db_change_parentObjType(self, parentObjType): self._db_parentObjType = parentObjType def db_delete_parentObjType(self, parentObjType): self._db_parentObjType = None def getPrimaryKey(self): return self._db_id class DBVistrail(object): vtType = 'vistrail' def __init__(self, id=None, entity_type=None, version=None, name=None, last_modified=None, actions=None, tags=None, annotations=None): self._db_id = id self._db_entity_type = entity_type self._db_version = version self._db_name = name self._db_last_modified = last_modified self.db_deleted_actions = [] self.db_actions_id_index = {} if actions is None: self._db_actions = [] else: self._db_actions = actions for v in self._db_actions: self.db_actions_id_index[v.db_id] = v self.db_deleted_tags = [] self.db_tags_id_index = {} self.db_tags_name_index = {} if tags is None: self._db_tags = [] else: self._db_tags = tags for v in self._db_tags: self.db_tags_id_index[v.db_id] = v self.db_tags_name_index[v.db_name] = v self.db_deleted_annotations = [] self.db_annotations_id_index = {} self.db_annotations_key_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_annotations_key_index[v.db_key] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBVistrail.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBVistrail(id=self._db_id, entity_type=self._db_entity_type, version=self._db_version, name=self._db_name, last_modified=self._db_last_modified) if self._db_actions is None: cp._db_actions = [] else: cp._db_actions = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_actions] if self._db_tags is None: cp._db_tags = [] else: cp._db_tags = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_tags] if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id # recreate indices and set flags cp.db_actions_id_index = dict((v.db_id, v) for v in cp._db_actions) cp.db_tags_id_index = dict((v.db_id, v) for v in cp._db_tags) cp.db_tags_name_index = dict((v.db_name, v) for v in cp._db_tags) cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_annotations_key_index = dict((v.db_key, v) for v in cp._db_annotations) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBVistrail() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'entity_type' in class_dict: res = class_dict['entity_type'](old_obj, trans_dict) new_obj.db_entity_type = res elif hasattr(old_obj, 'db_entity_type') and old_obj.db_entity_type is not None: new_obj.db_entity_type = old_obj.db_entity_type if 'version' in class_dict: res = class_dict['version'](old_obj, trans_dict) new_obj.db_version = res elif hasattr(old_obj, 'db_version') and old_obj.db_version is not None: new_obj.db_version = old_obj.db_version if 'name' in class_dict: res = class_dict['name'](old_obj, trans_dict) new_obj.db_name = res elif hasattr(old_obj, 'db_name') and old_obj.db_name is not None: new_obj.db_name = old_obj.db_name if 'last_modified' in class_dict: res = class_dict['last_modified'](old_obj, trans_dict) new_obj.db_last_modified = res elif hasattr(old_obj, 'db_last_modified') and old_obj.db_last_modified is not None: new_obj.db_last_modified = old_obj.db_last_modified if 'actions' in class_dict: res = class_dict['actions'](old_obj, trans_dict) for obj in res: new_obj.db_add_action(obj) elif hasattr(old_obj, 'db_actions') and old_obj.db_actions is not None: for obj in old_obj.db_actions: new_obj.db_add_action(DBAction.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_actions') and hasattr(new_obj, 'db_deleted_actions'): for obj in old_obj.db_deleted_actions: n_obj = DBAction.update_version(obj, trans_dict) new_obj.db_deleted_actions.append(n_obj) if 'tags' in class_dict: res = class_dict['tags'](old_obj, trans_dict) for obj in res: new_obj.db_add_tag(obj) elif hasattr(old_obj, 'db_tags') and old_obj.db_tags is not None: for obj in old_obj.db_tags: new_obj.db_add_tag(DBTag.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_tags') and hasattr(new_obj, 'db_deleted_tags'): for obj in old_obj.db_deleted_tags: n_obj = DBTag.update_version(obj, trans_dict) new_obj.db_deleted_tags.append(n_obj) if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_actions: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_action(child) to_del = [] for child in self.db_tags: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_tag(child) to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_actions) children.extend(self.db_deleted_tags) children.extend(self.db_deleted_annotations) if remove: self.db_deleted_actions = [] self.db_deleted_tags = [] self.db_deleted_annotations = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_actions: if child.has_changes(): return True for child in self._db_tags: if child.has_changes(): return True for child in self._db_annotations: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_entity_type(self): return self._db_entity_type def __set_db_entity_type(self, entity_type): self._db_entity_type = entity_type self.is_dirty = True db_entity_type = property(__get_db_entity_type, __set_db_entity_type) def db_add_entity_type(self, entity_type): self._db_entity_type = entity_type def db_change_entity_type(self, entity_type): self._db_entity_type = entity_type def db_delete_entity_type(self, entity_type): self._db_entity_type = None def __get_db_version(self): return self._db_version def __set_db_version(self, version): self._db_version = version self.is_dirty = True db_version = property(__get_db_version, __set_db_version) def db_add_version(self, version): self._db_version = version def db_change_version(self, version): self._db_version = version def db_delete_version(self, version): self._db_version = None def __get_db_name(self): return self._db_name def __set_db_name(self, name): self._db_name = name self.is_dirty = True db_name = property(__get_db_name, __set_db_name) def db_add_name(self, name): self._db_name = name def db_change_name(self, name): self._db_name = name def db_delete_name(self, name): self._db_name = None def __get_db_last_modified(self): return self._db_last_modified def __set_db_last_modified(self, last_modified): self._db_last_modified = last_modified self.is_dirty = True db_last_modified = property(__get_db_last_modified, __set_db_last_modified) def db_add_last_modified(self, last_modified): self._db_last_modified = last_modified def db_change_last_modified(self, last_modified): self._db_last_modified = last_modified def db_delete_last_modified(self, last_modified): self._db_last_modified = None def __get_db_actions(self): return self._db_actions def __set_db_actions(self, actions): self._db_actions = actions self.is_dirty = True db_actions = property(__get_db_actions, __set_db_actions) def db_get_actions(self): return self._db_actions def db_add_action(self, action): self.is_dirty = True self._db_actions.append(action) self.db_actions_id_index[action.db_id] = action def db_change_action(self, action): self.is_dirty = True found = False for i in xrange(len(self._db_actions)): if self._db_actions[i].db_id == action.db_id: self._db_actions[i] = action found = True break if not found: self._db_actions.append(action) self.db_actions_id_index[action.db_id] = action def db_delete_action(self, action): self.is_dirty = True for i in xrange(len(self._db_actions)): if self._db_actions[i].db_id == action.db_id: if not self._db_actions[i].is_new: self.db_deleted_actions.append(self._db_actions[i]) del self._db_actions[i] break del self.db_actions_id_index[action.db_id] def db_get_action(self, key): for i in xrange(len(self._db_actions)): if self._db_actions[i].db_id == key: return self._db_actions[i] return None def db_get_action_by_id(self, key): return self.db_actions_id_index[key] def db_has_action_with_id(self, key): return key in self.db_actions_id_index def __get_db_tags(self): return self._db_tags def __set_db_tags(self, tags): self._db_tags = tags self.is_dirty = True db_tags = property(__get_db_tags, __set_db_tags) def db_get_tags(self): return self._db_tags def db_add_tag(self, tag): self.is_dirty = True self._db_tags.append(tag) self.db_tags_id_index[tag.db_id] = tag self.db_tags_name_index[tag.db_name] = tag def db_change_tag(self, tag): self.is_dirty = True found = False for i in xrange(len(self._db_tags)): if self._db_tags[i].db_id == tag.db_id: self._db_tags[i] = tag found = True break if not found: self._db_tags.append(tag) self.db_tags_id_index[tag.db_id] = tag self.db_tags_name_index[tag.db_name] = tag def db_delete_tag(self, tag): self.is_dirty = True for i in xrange(len(self._db_tags)): if self._db_tags[i].db_id == tag.db_id: if not self._db_tags[i].is_new: self.db_deleted_tags.append(self._db_tags[i]) del self._db_tags[i] break del self.db_tags_id_index[tag.db_id] del self.db_tags_name_index[tag.db_name] def db_get_tag(self, key): for i in xrange(len(self._db_tags)): if self._db_tags[i].db_id == key: return self._db_tags[i] return None def db_get_tag_by_id(self, key): return self.db_tags_id_index[key] def db_has_tag_with_id(self, key): return key in self.db_tags_id_index def db_get_tag_by_name(self, key): return self.db_tags_name_index[key] def db_has_tag_with_name(self, key): return key in self.db_tags_name_index def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation self.db_annotations_key_index[annotation.db_key] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] del self.db_annotations_key_index[annotation.db_key] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def db_get_annotation_by_key(self, key): return self.db_annotations_key_index[key] def db_has_annotation_with_key(self, key): return key in self.db_annotations_key_index def getPrimaryKey(self): return self._db_id class DBModuleExec(object): vtType = 'module_exec' def __init__(self, id=None, ts_start=None, ts_end=None, cached=None, module_id=None, module_name=None, completed=None, error=None, abstraction_id=None, abstraction_version=None, machine_id=None, annotations=None, loop_execs=None): self._db_id = id self._db_ts_start = ts_start self._db_ts_end = ts_end self._db_cached = cached self._db_module_id = module_id self._db_module_name = module_name self._db_completed = completed self._db_error = error self._db_abstraction_id = abstraction_id self._db_abstraction_version = abstraction_version self._db_machine_id = machine_id self.db_deleted_annotations = [] self.db_annotations_id_index = {} if annotations is None: self._db_annotations = [] else: self._db_annotations = annotations for v in self._db_annotations: self.db_annotations_id_index[v.db_id] = v self.db_deleted_loop_execs = [] self.db_loop_execs_id_index = {} if loop_execs is None: self._db_loop_execs = [] else: self._db_loop_execs = loop_execs for v in self._db_loop_execs: self.db_loop_execs_id_index[v.db_id] = v self.is_dirty = True self.is_new = True def __copy__(self): return DBModuleExec.do_copy(self) def do_copy(self, new_ids=False, id_scope=None, id_remap=None): cp = DBModuleExec(id=self._db_id, ts_start=self._db_ts_start, ts_end=self._db_ts_end, cached=self._db_cached, module_id=self._db_module_id, module_name=self._db_module_name, completed=self._db_completed, error=self._db_error, abstraction_id=self._db_abstraction_id, abstraction_version=self._db_abstraction_version, machine_id=self._db_machine_id) if self._db_annotations is None: cp._db_annotations = [] else: cp._db_annotations = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_annotations] if self._db_loop_execs is None: cp._db_loop_execs = [] else: cp._db_loop_execs = [v.do_copy(new_ids, id_scope, id_remap) for v in self._db_loop_execs] # set new ids if new_ids: new_id = id_scope.getNewId(self.vtType) if self.vtType in id_scope.remap: id_remap[(id_scope.remap[self.vtType], self.db_id)] = new_id else: id_remap[(self.vtType, self.db_id)] = new_id cp.db_id = new_id if hasattr(self, 'db_module_id') and ('module', self._db_module_id) in id_remap: cp._db_module_id = id_remap[('module', self._db_module_id)] if hasattr(self, 'db_machine_id') and ('machine', self._db_machine_id) in id_remap: cp._db_machine_id = id_remap[('machine', self._db_machine_id)] # recreate indices and set flags cp.db_annotations_id_index = dict((v.db_id, v) for v in cp._db_annotations) cp.db_loop_execs_id_index = dict((v.db_id, v) for v in cp._db_loop_execs) if not new_ids: cp.is_dirty = self.is_dirty cp.is_new = self.is_new return cp @staticmethod def update_version(old_obj, trans_dict, new_obj=None): if new_obj is None: new_obj = DBModuleExec() class_dict = {} if new_obj.__class__.__name__ in trans_dict: class_dict = trans_dict[new_obj.__class__.__name__] if 'id' in class_dict: res = class_dict['id'](old_obj, trans_dict) new_obj.db_id = res elif hasattr(old_obj, 'db_id') and old_obj.db_id is not None: new_obj.db_id = old_obj.db_id if 'ts_start' in class_dict: res = class_dict['ts_start'](old_obj, trans_dict) new_obj.db_ts_start = res elif hasattr(old_obj, 'db_ts_start') and old_obj.db_ts_start is not None: new_obj.db_ts_start = old_obj.db_ts_start if 'ts_end' in class_dict: res = class_dict['ts_end'](old_obj, trans_dict) new_obj.db_ts_end = res elif hasattr(old_obj, 'db_ts_end') and old_obj.db_ts_end is not None: new_obj.db_ts_end = old_obj.db_ts_end if 'cached' in class_dict: res = class_dict['cached'](old_obj, trans_dict) new_obj.db_cached = res elif hasattr(old_obj, 'db_cached') and old_obj.db_cached is not None: new_obj.db_cached = old_obj.db_cached if 'module_id' in class_dict: res = class_dict['module_id'](old_obj, trans_dict) new_obj.db_module_id = res elif hasattr(old_obj, 'db_module_id') and old_obj.db_module_id is not None: new_obj.db_module_id = old_obj.db_module_id if 'module_name' in class_dict: res = class_dict['module_name'](old_obj, trans_dict) new_obj.db_module_name = res elif hasattr(old_obj, 'db_module_name') and old_obj.db_module_name is not None: new_obj.db_module_name = old_obj.db_module_name if 'completed' in class_dict: res = class_dict['completed'](old_obj, trans_dict) new_obj.db_completed = res elif hasattr(old_obj, 'db_completed') and old_obj.db_completed is not None: new_obj.db_completed = old_obj.db_completed if 'error' in class_dict: res = class_dict['error'](old_obj, trans_dict) new_obj.db_error = res elif hasattr(old_obj, 'db_error') and old_obj.db_error is not None: new_obj.db_error = old_obj.db_error if 'abstraction_id' in class_dict: res = class_dict['abstraction_id'](old_obj, trans_dict) new_obj.db_abstraction_id = res elif hasattr(old_obj, 'db_abstraction_id') and old_obj.db_abstraction_id is not None: new_obj.db_abstraction_id = old_obj.db_abstraction_id if 'abstraction_version' in class_dict: res = class_dict['abstraction_version'](old_obj, trans_dict) new_obj.db_abstraction_version = res elif hasattr(old_obj, 'db_abstraction_version') and old_obj.db_abstraction_version is not None: new_obj.db_abstraction_version = old_obj.db_abstraction_version if 'machine_id' in class_dict: res = class_dict['machine_id'](old_obj, trans_dict) new_obj.db_machine_id = res elif hasattr(old_obj, 'db_machine_id') and old_obj.db_machine_id is not None: new_obj.db_machine_id = old_obj.db_machine_id if 'annotations' in class_dict: res = class_dict['annotations'](old_obj, trans_dict) for obj in res: new_obj.db_add_annotation(obj) elif hasattr(old_obj, 'db_annotations') and old_obj.db_annotations is not None: for obj in old_obj.db_annotations: new_obj.db_add_annotation(DBAnnotation.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_annotations') and hasattr(new_obj, 'db_deleted_annotations'): for obj in old_obj.db_deleted_annotations: n_obj = DBAnnotation.update_version(obj, trans_dict) new_obj.db_deleted_annotations.append(n_obj) if 'loop_execs' in class_dict: res = class_dict['loop_execs'](old_obj, trans_dict) for obj in res: new_obj.db_add_loop_exec(obj) elif hasattr(old_obj, 'db_loop_execs') and old_obj.db_loop_execs is not None: for obj in old_obj.db_loop_execs: new_obj.db_add_loop_exec(DBLoopExec.update_version(obj, trans_dict)) if hasattr(old_obj, 'db_deleted_loop_execs') and hasattr(new_obj, 'db_deleted_loop_execs'): for obj in old_obj.db_deleted_loop_execs: n_obj = DBLoopExec.update_version(obj, trans_dict) new_obj.db_deleted_loop_execs.append(n_obj) new_obj.is_new = old_obj.is_new new_obj.is_dirty = old_obj.is_dirty return new_obj def db_children(self, parent=(None,None), orphan=False): children = [] to_del = [] for child in self.db_annotations: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_annotation(child) to_del = [] for child in self.db_loop_execs: children.extend(child.db_children((self.vtType, self.db_id), orphan)) if orphan: to_del.append(child) for child in to_del: self.db_delete_loop_exec(child) children.append((self, parent[0], parent[1])) return children def db_deleted_children(self, remove=False): children = [] children.extend(self.db_deleted_annotations) children.extend(self.db_deleted_loop_execs) if remove: self.db_deleted_annotations = [] self.db_deleted_loop_execs = [] return children def has_changes(self): if self.is_dirty: return True for child in self._db_annotations: if child.has_changes(): return True for child in self._db_loop_execs: if child.has_changes(): return True return False def __get_db_id(self): return self._db_id def __set_db_id(self, id): self._db_id = id self.is_dirty = True db_id = property(__get_db_id, __set_db_id) def db_add_id(self, id): self._db_id = id def db_change_id(self, id): self._db_id = id def db_delete_id(self, id): self._db_id = None def __get_db_ts_start(self): return self._db_ts_start def __set_db_ts_start(self, ts_start): self._db_ts_start = ts_start self.is_dirty = True db_ts_start = property(__get_db_ts_start, __set_db_ts_start) def db_add_ts_start(self, ts_start): self._db_ts_start = ts_start def db_change_ts_start(self, ts_start): self._db_ts_start = ts_start def db_delete_ts_start(self, ts_start): self._db_ts_start = None def __get_db_ts_end(self): return self._db_ts_end def __set_db_ts_end(self, ts_end): self._db_ts_end = ts_end self.is_dirty = True db_ts_end = property(__get_db_ts_end, __set_db_ts_end) def db_add_ts_end(self, ts_end): self._db_ts_end = ts_end def db_change_ts_end(self, ts_end): self._db_ts_end = ts_end def db_delete_ts_end(self, ts_end): self._db_ts_end = None def __get_db_cached(self): return self._db_cached def __set_db_cached(self, cached): self._db_cached = cached self.is_dirty = True db_cached = property(__get_db_cached, __set_db_cached) def db_add_cached(self, cached): self._db_cached = cached def db_change_cached(self, cached): self._db_cached = cached def db_delete_cached(self, cached): self._db_cached = None def __get_db_module_id(self): return self._db_module_id def __set_db_module_id(self, module_id): self._db_module_id = module_id self.is_dirty = True db_module_id = property(__get_db_module_id, __set_db_module_id) def db_add_module_id(self, module_id): self._db_module_id = module_id def db_change_module_id(self, module_id): self._db_module_id = module_id def db_delete_module_id(self, module_id): self._db_module_id = None def __get_db_module_name(self): return self._db_module_name def __set_db_module_name(self, module_name): self._db_module_name = module_name self.is_dirty = True db_module_name = property(__get_db_module_name, __set_db_module_name) def db_add_module_name(self, module_name): self._db_module_name = module_name def db_change_module_name(self, module_name): self._db_module_name = module_name def db_delete_module_name(self, module_name): self._db_module_name = None def __get_db_completed(self): return self._db_completed def __set_db_completed(self, completed): self._db_completed = completed self.is_dirty = True db_completed = property(__get_db_completed, __set_db_completed) def db_add_completed(self, completed): self._db_completed = completed def db_change_completed(self, completed): self._db_completed = completed def db_delete_completed(self, completed): self._db_completed = None def __get_db_error(self): return self._db_error def __set_db_error(self, error): self._db_error = error self.is_dirty = True db_error = property(__get_db_error, __set_db_error) def db_add_error(self, error): self._db_error = error def db_change_error(self, error): self._db_error = error def db_delete_error(self, error): self._db_error = None def __get_db_abstraction_id(self): return self._db_abstraction_id def __set_db_abstraction_id(self, abstraction_id): self._db_abstraction_id = abstraction_id self.is_dirty = True db_abstraction_id = property(__get_db_abstraction_id, __set_db_abstraction_id) def db_add_abstraction_id(self, abstraction_id): self._db_abstraction_id = abstraction_id def db_change_abstraction_id(self, abstraction_id): self._db_abstraction_id = abstraction_id def db_delete_abstraction_id(self, abstraction_id): self._db_abstraction_id = None def __get_db_abstraction_version(self): return self._db_abstraction_version def __set_db_abstraction_version(self, abstraction_version): self._db_abstraction_version = abstraction_version self.is_dirty = True db_abstraction_version = property(__get_db_abstraction_version, __set_db_abstraction_version) def db_add_abstraction_version(self, abstraction_version): self._db_abstraction_version = abstraction_version def db_change_abstraction_version(self, abstraction_version): self._db_abstraction_version = abstraction_version def db_delete_abstraction_version(self, abstraction_version): self._db_abstraction_version = None def __get_db_machine_id(self): return self._db_machine_id def __set_db_machine_id(self, machine_id): self._db_machine_id = machine_id self.is_dirty = True db_machine_id = property(__get_db_machine_id, __set_db_machine_id) def db_add_machine_id(self, machine_id): self._db_machine_id = machine_id def db_change_machine_id(self, machine_id): self._db_machine_id = machine_id def db_delete_machine_id(self, machine_id): self._db_machine_id = None def __get_db_annotations(self): return self._db_annotations def __set_db_annotations(self, annotations): self._db_annotations = annotations self.is_dirty = True db_annotations = property(__get_db_annotations, __set_db_annotations) def db_get_annotations(self): return self._db_annotations def db_add_annotation(self, annotation): self.is_dirty = True self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation def db_change_annotation(self, annotation): self.is_dirty = True found = False for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: self._db_annotations[i] = annotation found = True break if not found: self._db_annotations.append(annotation) self.db_annotations_id_index[annotation.db_id] = annotation def db_delete_annotation(self, annotation): self.is_dirty = True for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == annotation.db_id: if not self._db_annotations[i].is_new: self.db_deleted_annotations.append(self._db_annotations[i]) del self._db_annotations[i] break del self.db_annotations_id_index[annotation.db_id] def db_get_annotation(self, key): for i in xrange(len(self._db_annotations)): if self._db_annotations[i].db_id == key: return self._db_annotations[i] return None def db_get_annotation_by_id(self, key): return self.db_annotations_id_index[key] def db_has_annotation_with_id(self, key): return key in self.db_annotations_id_index def __get_db_loop_execs(self): return self._db_loop_execs def __set_db_loop_execs(self, loop_execs): self._db_loop_execs = loop_execs self.is_dirty = True db_loop_execs = property(__get_db_loop_execs, __set_db_loop_execs) def db_get_loop_execs(self): return self._db_loop_execs def db_add_loop_exec(self, loop_exec): self.is_dirty = True self._db_loop_execs.append(loop_exec) self.db_loop_execs_id_index[loop_exec.db_id] = loop_exec def db_change_loop_exec(self, loop_exec): self.is_dirty = True found = False for i in xrange(len(self._db_loop_execs)): if self._db_loop_execs[i].db_id == loop_exec.db_id: self._db_loop_execs[i] = loop_exec found = True break if not found: self._db_loop_execs.append(loop_exec) self.db_loop_execs_id_index[loop_exec.db_id] = loop_exec def db_delete_loop_exec(self, loop_exec): self.is_dirty = True for i in xrange(len(self._db_loop_execs)): if self._db_loop_execs[i].db_id == loop_exec.db_id: if not self._db_loop_execs[i].is_new: self.db_deleted_loop_execs.append(self._db_loop_execs[i]) del self._db_loop_execs[i] break del self.db_loop_execs_id_index[loop_exec.db_id] def db_get_loop_exec(self, key): for i in xrange(len(self._db_loop_execs)): if self._db_loop_execs[i].db_id == key: return self._db_loop_execs[i] return None def db_get_loop_exec_by_id(self, key): return self.db_loop_execs_id_index[key] def db_has_loop_exec_with_id(self, key): return key in self.db_loop_execs_id_index def getPrimaryKey(self): return self._db_id

41.143774

240

0.63477

45,520

320,510

4.031503

0.00714

0.086413

0.029295

0.026565

0.921532

0.895321

0.857357

0.822281

0.806129

0.778115

0

0.000348

0.282958

320,510

7,789

241

41.149056

0.798167

0.009039

0

0.817065

0

0.023755

0.003296

0

1

0.188872

false

0

0.000276

0.053155

0.313682

0

null

0

1

0

1

0

null

0

7

1cf75a88a0bcd70164681cc3e84bf9d71b740ceb

48

py

Python

allopy/optimize/portfolio/active/__init__.py

wangcj05/allopy

0d97127e5132df1449283198143994b45fb11214

[ "MIT" ]

1

2021-04-06T04:33:03.000Z

allopy/optimize/portfolio/active/__init__.py

wangcj05/allopy

0d97127e5132df1449283198143994b45fb11214

[ "MIT" ]

null

allopy/optimize/portfolio/active/__init__.py

wangcj05/allopy

0d97127e5132df1449283198143994b45fb11214

[ "MIT" ]

null

from .optimizer import ActivePortfolioOptimizer

24

47

0.895833

4

48

10.75

1

0

0.083333

48

1

48

0.977273

0

1

0

true

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

7

1c044ae557848842c8cb04a31d461064ac43b620

2,176

py

Python

02_findingtheOffset.py

F-Masood/bufferoverflow

b287c5033ed79158f183bb8ba7f964efeccbfe59

[ "MIT" ]

null

02_findingtheOffset.py

F-Masood/bufferoverflow

b287c5033ed79158f183bb8ba7f964efeccbfe59

[ "MIT" ]

null

02_findingtheOffset.py

F-Masood/bufferoverflow

b287c5033ed79158f183bb8ba7f964efeccbfe59

[ "MIT" ]

null

#!/usr/bin/python import sys,socket #msf-pattern_create -l 1850 [vulnhub netstart by foxlox] ip = '192.168.10.51' port = 2371 offset = "Aa0Aa1Aa2Aa3Aa4Aa5Aa6Aa7Aa8Aa9Ab0Ab1Ab2Ab3Ab4Ab5Ab6Ab7Ab8Ab9Ac0Ac1Ac2Ac3Ac4Ac5Ac6Ac7Ac8Ac9Ad0Ad1Ad2Ad3Ad4Ad5Ad6Ad7Ad8Ad9Ae0Ae1Ae2Ae3Ae4Ae5Ae6Ae7Ae8Ae9Af0Af1Af2Af3Af4Af5Af6Af7Af8Af9Ag0Ag1Ag2Ag3Ag4Ag5Ag6Ag7Ag8Ag9Ah0Ah1Ah2Ah3Ah4Ah5Ah6Ah7Ah8Ah9Ai0Ai1Ai2Ai3Ai4Ai5Ai6Ai7Ai8Ai9Aj0Aj1Aj2Aj3Aj4Aj5Aj6Aj7Aj8Aj9Ak0Ak1Ak2Ak3Ak4Ak5Ak6Ak7Ak8Ak9Al0Al1Al2Al3Al4Al5Al6Al7Al8Al9Am0Am1Am2Am3Am4Am5Am6Am7Am8Am9An0An1An2An3An4An5An6An7An8An9Ao0Ao1Ao2Ao3Ao4Ao5Ao6Ao7Ao8Ao9Ap0Ap1Ap2Ap3Ap4Ap5Ap6Ap7Ap8Ap9Aq0Aq1Aq2Aq3Aq4Aq5Aq6Aq7Aq8Aq9Ar0Ar1Ar2Ar3Ar4Ar5Ar6Ar7Ar8Ar9As0As1As2As3As4As5As6As7As8As9At0At1At2At3At4At5At6At7At8At9Au0Au1Au2Au3Au4Au5Au6Au7Au8Au9Av0Av1Av2Av3Av4Av5Av6Av7Av8Av9Aw0Aw1Aw2Aw3Aw4Aw5Aw6Aw7Aw8Aw9Ax0Ax1Ax2Ax3Ax4Ax5Ax6Ax7Ax8Ax9Ay0Ay1Ay2Ay3Ay4Ay5Ay6Ay7Ay8Ay9Az0Az1Az2Az3Az4Az5Az6Az7Az8Az9Ba0Ba1Ba2Ba3Ba4Ba5Ba6Ba7Ba8Ba9Bb0Bb1Bb2Bb3Bb4Bb5Bb6Bb7Bb8Bb9Bc0Bc1Bc2Bc3Bc4Bc5Bc6Bc7Bc8Bc9Bd0Bd1Bd2Bd3Bd4Bd5Bd6Bd7Bd8Bd9Be0Be1Be2Be3Be4Be5Be6Be7Be8Be9Bf0Bf1Bf2Bf3Bf4Bf5Bf6Bf7Bf8Bf9Bg0Bg1Bg2Bg3Bg4Bg5Bg6Bg7Bg8Bg9Bh0Bh1Bh2Bh3Bh4Bh5Bh6Bh7Bh8Bh9Bi0Bi1Bi2Bi3Bi4Bi5Bi6Bi7Bi8Bi9Bj0Bj1Bj2Bj3Bj4Bj5Bj6Bj7Bj8Bj9Bk0Bk1Bk2Bk3Bk4Bk5Bk6Bk7Bk8Bk9Bl0Bl1Bl2Bl3Bl4Bl5Bl6Bl7Bl8Bl9Bm0Bm1Bm2Bm3Bm4Bm5Bm6Bm7Bm8Bm9Bn0Bn1Bn2Bn3Bn4Bn5Bn6Bn7Bn8Bn9Bo0Bo1Bo2Bo3Bo4Bo5Bo6Bo7Bo8Bo9Bp0Bp1Bp2Bp3Bp4Bp5Bp6Bp7Bp8Bp9Bq0Bq1Bq2Bq3Bq4Bq5Bq6Bq7Bq8Bq9Br0Br1Br2Br3Br4Br5Br6Br7Br8Br9Bs0Bs1Bs2Bs3Bs4Bs5Bs6Bs7Bs8Bs9Bt0Bt1Bt2Bt3Bt4Bt5Bt6Bt7Bt8Bt9Bu0Bu1Bu2Bu3Bu4Bu5Bu6Bu7Bu8Bu9Bv0Bv1Bv2Bv3Bv4Bv5Bv6Bv7Bv8Bv9Bw0Bw1Bw2Bw3Bw4Bw5Bw6Bw7Bw8Bw9Bx0Bx1Bx2Bx3Bx4Bx5Bx6Bx7Bx8Bx9By0By1By2By3By4By5By6By7By8By9Bz0Bz1Bz2Bz3Bz4Bz5Bz6Bz7Bz8Bz9Ca0Ca1Ca2Ca3Ca4Ca5Ca6Ca7Ca8Ca9Cb0Cb1Cb2Cb3Cb4Cb5Cb6Cb7Cb8Cb9Cc0Cc1Cc2Cc3Cc4Cc5Cc6Cc7Cc8Cc9Cd0Cd1Cd2Cd3Cd4Cd5Cd6Cd7Cd8Cd9Ce0Ce1Ce2Ce3Ce4Ce5Ce6Ce7Ce8Ce9Cf0Cf1Cf2Cf3Cf4Cf5Cf6Cf7Cf8Cf9Cg0Cg1Cg2Cg3Cg4Cg5Cg6Cg7Cg8Cg9Ch0Ch1Ch2Ch3Ch4Ch5Ch6Ch7Ch8Ch9Ci0Ci1Ci2Ci3Ci4Ci5Ci6Ci7Ci8Ci9Cj0Cj1Cj2Cj3Cj4Cj5Cj" try: s=socket.socket(socket.AF_INET,socket.SOCK_STREAM) s.connect((ip,port)) s.send((offset)) s.close() except: print("Error connecting to server") sys.exit()

108.8

1,861

0.949449

51

2,176

40.45098

0.784314

0.011634

0

0.29948

0.027114

2,176

19

1,862

114.526316

0.675012

0.032629

0

0.898241

0.879696

0

1

0

1

0

false

0

0.083333

0

0.083333

0

1

null

0

1

0

1

0

1

null

1

0

7

1c1375c53bef4c1b457d615f57061a389efe4123

10,123

py

Python

test/autests/gold_tests/field_verification/not_nocase.test.py

keesspoelstra/proxy-verifier

1b219d68783a453c2271108bbea5a9529d018498

[ "Apache-2.0" ]

31

2020-03-03T04:37:36.000Z

2022-03-31T15:43:07.000Z

test/autests/gold_tests/field_verification/not_nocase.test.py

keesspoelstra/proxy-verifier

1b219d68783a453c2271108bbea5a9529d018498

[ "Apache-2.0" ]

33

2020-02-11T19:34:12.000Z

2021-06-21T20:07:32.000Z

test/autests/gold_tests/field_verification/not_nocase.test.py

keesspoelstra/proxy-verifier

1b219d68783a453c2271108bbea5a9529d018498

[ "Apache-2.0" ]

13

2020-02-07T20:04:02.000Z

2021-12-21T21:26:40.000Z

''' Verify correct field and URL verification behavior for not and nocase modifiers. ''' # @file # # Copyright 2021, Verizon Media # SPDX-License-Identifier: Apache-2.0 # Test.Summary = ''' Verify correct field and URL verification behavior for equals, absent, present, contains, prefix, and suffix with not, nocase, and both not and nocase modifiers ''' # # Test 1: Verify field verification in a YAML replay file. # Each combinaton of test type, not/as, and case/nocase, and positive/negative result # are tested for client, and a mixture for server # r = Test.AddTestRun("Verify 'not' and 'nocase' directives work for a single HTTP transaction") client = r.AddClientProcess("client1", "replay_files/not_nocase.yaml") server = r.AddServerProcess("server1", "replay_files/not_nocase.yaml") proxy = r.AddProxyProcess( "proxy1", listen_port=client.Variables.http_port, server_port=server.Variables.http_port) server.Streams.stdout += Testers.ContainsExpression( 'Not Equals Success: Different. Key: "5", Field Name: "host", Correct Value: "le.on", Actual Value: "example.one"', 'Validation should be happy that "le.on" is not equal to "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not Presence Success: Absent. Key: "5", Field Name: "x-test-absent"', 'Validation should be happy that "X-Test-Absent" has no value.') server.Streams.stdout += Testers.ContainsExpression( 'Not Absence Success: Present. Key: "5", Field Name: "x-test-present", Value: "It\'s there"', 'Validation should be happy that "X-Test-Present" has a value.') server.Streams.stdout += Testers.ContainsExpression( 'Not Contains Success: Not Found. Key: "5", Field Name: "host", Required Value: "leo", Actual Value: "example.one"', 'Validation should be happy that "leo" is not contained in "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not Prefix Success: Not Found. Key: "5", Field Name: "x-test-request", Required Value: "equ", Actual Value: "RequestData"', 'Validation should be happy that "equ" does not prefix "RequestData".') server.Streams.stdout += Testers.ContainsExpression( 'Not Suffix Success: Not Found. Key: "5", Field Name: "x-test-present", Required Value: "It\'s", Actual Value: "It\'s there"', 'Validation should be happy that "It\'s" does not suffix "It\'s there".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Equals Success: Key: "5", Field Name: "host", Required Value: "EXAMpLE.ONE", Value: "example.one"', 'Validation should be happy that "EXAMpLE.ONE" nocase equals "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Contains Success: Key: "5", Field Name: "host", Required Value: "Le.ON", Value: "example.one"', 'Validation should be happy that "Le.ON" is nocase contained in "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Prefix Success: Key: "5", Field Name: "x-test-request", Required Value: "rEQ", Value: "RequestData"', 'Validation should be happy that "rEQ" nocase prefixes "RequestData".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Suffix Success: Key: "5", Field Name: "x-test-present", Required Value: "heRe", Value: "It\'s there"', 'Validation should be happy that "heRe" nocase suffixes "It\'s there".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Equals Success: Different. Key: "5", Field Name: "host", Correct Value: "example.ON", Actual Value: "example.one"', 'Validation should be happy that "le.on" does not nocase equal "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Contains Success: Not Found. Key: "5", Field Name: "host", Required Value: "U", Actual Value: "example.one"', 'Validation should be happy that "leo" is not nocase contained in "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Prefix Success: Not Found. Key: "5", Field Name: "x-test-request", Required Value: "EQU", Actual Value: "RequestData"', 'Validation should be happy that "equ" does not nocase prefix "RequestData".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Suffix Success: Not Found. Key: "5", Field Name: "x-test-present", Required Value: "hre", Actual Value: "It\'s there"', 'Validation should be happy that "hre" does not nocase suffix "It\'s there".') server.Streams.stdout += Testers.ContainsExpression( 'Not Equals Violation: Key: "5", Field Name: "host", Value: "example.one"', 'Validation should complain that "example.on" equals "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not Presence Violation: Key: "5", Field Name: "x-test-present", Value: "It\'s there"', 'Validation should complain that "X-Test-Present" has a value.') server.Streams.stdout += Testers.ContainsExpression( 'Not Absence Violation: Key: "5", Field Name: "x-test-absent"', 'Validation should complain that "X-Test-Absent" has no value.') server.Streams.stdout += Testers.ContainsExpression( 'Not Contains Violation: Key: "5", Field Name: "host", Required Value: "le.on", Value: "example.one"', 'Validation should complain that "le.on" is contained in "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not Prefix Violation: Key: "5", Field Name: "x-test-request", Required Value: "Req", Value: "RequestData"', 'Validation should complain that "Req" prefixes "RequestData".') server.Streams.stdout += Testers.ContainsExpression( 'Not Suffix Violation: Key: "5", Field Name: "x-test-present", Required Value: "there", Value: "It\'s there"', 'Validation should complain that "there" suffixes "It\'s there".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Equals Violation: Different. Key: "5", Field Name: "host", Correct Value: "EXAMPLE.ON", Actual Value: "example.one"', 'Validation should complain that "EXAMPL.ON" does not nocase equal "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Contains Violation: Not Found. Key: "5", Field Name: "host", Required Value: "LE..On", Actual Value: "example.one"', 'Validation should complain that "LE..On" is not nocase contained in "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Prefix Violation: Not Found. Key: "5", Field Name: "x-test-request", Required Value: "-TE", Actual Value: "RequestData"', 'Validation should complain that "-TE" does not nocase prefix "RequestData".') server.Streams.stdout += Testers.ContainsExpression( 'No Case Suffix Violation: Not Found. Key: "5", Field Name: "x-test-present", Required Value: "THER", Actual Value: "It\'s there"', 'Validation should complain that "THER" does not nocase suffix "It\'s there".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Equals Violation: Key: "5", Field Name: "host", Required Value: "Example.one", Value: "example.one"', 'Validation should complain that "Example.one" nocase equals "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Contains Violation: Key: "5", Field Name: "host", Required Value: "le.oN", Value: "example.one"', 'Validation should complain that "le.oN" is nocase contained in "example.one".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Prefix Violation: Key: "5", Field Name: "x-test-request", Required Value: "req", Value: "RequestData"', 'Validation should complain that "req" nocase prefixes "RequestData".') server.Streams.stdout += Testers.ContainsExpression( 'Not No Case Suffix Violation: Key: "5", Field Name: "x-test-present", Required Value: "eRE", Value: "It\'s there"', 'Validation should complain that "eRE" nocase suffixes "It\'s there".') server.Streams.stdout = Testers.ContainsExpression( 'Not No Case Contains Violation: Key: "5", URI Part: "path", Required Value: "iG/S", Value: "/config/settings.yaml"', 'Validation should complain that "iG/S" is nocase contained in the path.') client.Streams.stdout += Testers.ContainsExpression( 'Not Equals Success: Different. Key: "5", Field Name: "content-type", Correct Value: "text", Actual Value: "text/html"', 'Validation should be happy that "text" does not equal "text/html".') client.Streams.stdout += Testers.ContainsExpression( 'Not Presence Violation: Key: "5", Field Name: "set-cookie", Value: "ABCD"', 'Validation should complain that "set-cookie" is present.') client.Streams.stdout += Testers.ContainsExpression( 'Not Absence Violation: Key: "5", Field Name: "fake-cookie"', 'Validation should complain that "fake-cookie" is absent.') client.Streams.stdout += Testers.ContainsExpression( 'Not No Case Contains Violation: Key: "5", Field Name: "content-type", Required Value: "Tex", Value: "text/html"', 'Validation should complain that "Tex" is nocase contained in "text/html".') client.Streams.stdout += Testers.ContainsExpression( 'Not No Case Prefix Success: Absent. Key: "5", Field Name: "fake-cookie", Required Value: "B"', 'Validation should be happy that "B" does not nocase prefix a nonexistent header.') client.Streams.stdout += Testers.ContainsExpression( 'No Case Suffix Success: Key: "5", Field Name: "content-type", Required Value: "L", Value: "text/html"', 'Validation should be happy that "L" nocase suffixes "text/html".') client.Streams.stdout += Testers.ContainsExpression( 'Not Prefix Success: Not Found. Key: "5", Field Name: "multiple", Required Values: "Abc" "DEF", Received Values: "abc" "DEF"', 'Validation should be happy that "Abc" does not prefix "abc", even though "DEF" prefixes "DEF".') client.Streams.stdout += Testers.ContainsExpression( 'Not No Case Equals Violation: Key: "5", Field Name: "multiple", Required Values: "Abc" "DEF", Values: "abc" "DEF"', 'Validation should complain that each required value nocase equals the corresponding received value.') client.ReturnCode = 1 server.ReturnCode = 1

53.560847

136

0.712042

1,341

10,123

5.369128

0.111111

0.066806

0.102778

0.195278

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py

Python

src/learndash/api_resources/__init__.py

MarkMacDon/learndash-python

a3fbfc45567a524b80c732d735f2ae101119f2e4

[ "MIT" ]

null

src/learndash/api_resources/__init__.py

MarkMacDon/learndash-python

a3fbfc45567a524b80c732d735f2ae101119f2e4

[ "MIT" ]

1

2021-05-06T19:01:24.000Z

src/learndash/api_resources/__init__.py

MarkMacDon/learndash-python

a3fbfc45567a524b80c732d735f2ae101119f2e4

[ "MIT" ]

2

2021-05-05T22:45:04.000Z

2021-07-24T08:47:02.000Z

from learndash.api_resources.course import Course from learndash.api_resources.user import User

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1c8bd63bbcf9973362a7a60fdb41739b53e0c42c

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py

Python

light_bulb/__init__.py

renorram/opengl_lamp

fe43ebfaea688f19cc05fe791fe9f15d7b283a7b

[ "MIT" ]

null

light_bulb/__init__.py

renorram/opengl_lamp

fe43ebfaea688f19cc05fe791fe9f15d7b283a7b

[ "MIT" ]

null

light_bulb/__init__.py

renorram/opengl_lamp

fe43ebfaea688f19cc05fe791fe9f15d7b283a7b

[ "MIT" ]

null

from light_bulb.camera import Camera from light_bulb.controls import Controls from light_bulb.lighting import Lighting

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py

Python

ohqueue/tests.py

mike2151/Online-OH-queue

04544a55bf57b5d93e0fcf2764e6ee6511d6c2ed

[ "MIT" ]

6

2019-05-17T02:29:12.000Z

2020-09-28T01:14:47.000Z

ohqueue/tests.py

mike2151/Online-OH-queue

04544a55bf57b5d93e0fcf2764e6ee6511d6c2ed

[ "MIT" ]

33

2018-12-16T18:58:11.000Z

2021-06-10T21:04:11.000Z

ohqueue/tests.py

mike2151/Online-OH-queue

04544a55bf57b5d93e0fcf2764e6ee6511d6c2ed

[ "MIT" ]

3

2019-01-10T15:55:18.000Z

2021-02-25T15:54:36.000Z

from django.test import TestCase from .models import OHQueue from freezegun import freeze_time from users.models import StudentUser import datetime from rest_framework.test import APIClient from rest_framework.authtoken.models import Token import json import string, random class OHCreation(TestCase): def setUp(self): self.queue = OHQueue.objects.create(name="main", monday_times="4:00pm-6:00pm") self.student_user = StudentUser.objects.create(username="test", email="test@upenn.edu", first_name="tester", last_name="smith", password="testing123") self.student_user.set_password("testing123") self.student_user.is_active = True self.student_user.save() @freeze_time("2018-12-31 21:00:01") def test_ohqueue_created(self): self.assertEquals("main", self.queue.name) self.assertEquals("4:00pm-6:00pm", self.queue.monday_times) self.assertTrue(self.queue.isQueueActive(self.student_user)) @freeze_time("2018-12-31 16:00:01") def test_is_queue_inactive(self): self.assertFalse(self.queue.isQueueActive(self.student_user)) @freeze_time("2018-12-31 21:00:01") def test_update_time(self): self.assertTrue(self.queue.isQueueActive(self.student_user)) freezer = freeze_time("2018-12-31 16:00:01") freezer.start() self.queue.updateTime() self.assertFalse(self.queue.is_in_time) # These tests assume New York Time zone! class OHQuestions(TestCase): def setUp(self): self.client = APIClient() self.queue = OHQueue.objects.create(name="main", monday_times="4:00pm-6:00pm") # monday time at queue opening time freezer = freeze_time("2018-12-31 21:00:01") freezer.start() self.student_user = StudentUser.objects.create(username="test", email="test@upenn.edu", first_name="tester", last_name="smith", password="testing123") self.student_user.set_password("testing123") self.student_user.is_active = True self.student_user.save() self.student_user_two = StudentUser.objects.create(username="test2", email="test2@upenn.edu", first_name="tester2", last_name="smith", password="testing123") self.student_user_two.set_password("testing123") self.student_user_two.is_active = True self.student_user_two.save() self.ta_user = StudentUser.objects.create(username="ta", email="ta@upenn.edu", first_name="ta", last_name="smith", password="testing123") self.ta_user.set_password("testing123") self.ta_user.is_active = True self.ta_user.is_ta = True self.ta_user.save() def generate_header(self, user): token, _ = Token.objects.get_or_create(user=user) self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key) def test_queue_is_open(self): self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(200, response.status_code) self.assertEquals(1, len(json.loads(response.content))) def test_is_queue_open_unauthenticated(self): response = self.client.get('/api/v1/queue/list/') self.assertEquals(401, response.status_code) def test_queue_is_closed(self): freezer = freeze_time("2018-12-31 16:00:01") freezer.start() self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(200, response.status_code) self.assertEquals(0, len(json.loads(response.content))) # ta_list end point def test_queue_is_open_ta(self): self.generate_header(self.ta_user) response = self.client.get('/api/v1/queue/list_ta/') self.assertEquals(200, response.status_code) self.assertEquals(1, len(json.loads(response.content))) def test_is_queue_open_unauthenticated_ta(self): response = self.client.get('/api/v1/queue/list_ta/') self.assertEquals(401, response.status_code) def test_is_queue_open_student_ta(self): response = self.client.get('/api/v1/queue/list_ta/') self.assertEquals(401, response.status_code) def test_queue_is_not_closed_ta(self): freezer = freeze_time("2018-12-31 16:00:01") freezer.start() self.generate_header(self.ta_user) response = self.client.get('/api/v1/queue/list_ta/') self.assertEquals(200, response.status_code) self.assertEquals(1, len(json.loads(response.content))) # extend open tests def test_can_extend_ohqueue(self): self.generate_header(self.ta_user) response = self.client.post('/api/v1/queue/open/', {"queue": "main"}, format="json") self.assertTrue(json.loads(response.content)["success"]) def test_student_cannot_extend_ohqueue(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/open/', {"queue": "main"}, format="json") self.assertFalse(json.loads(response.content)["success"]) def test_unauthenticated_cannot_extend_ohqueue(self): response = self.client.post('/api/v1/queue/open/', {"queue": "main"}, format="json") self.assertFalse(json.loads(response.content)["success"]) def test_closed_then_extended_open(self): freezer = freeze_time("2018-12-31 16:00:01") freezer.start() self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(0, len(json.loads(response.content))) self.generate_header(self.ta_user) response = self.client.post('/api/v1/queue/open/', {"queue": "main"}, format="json") self.assertTrue(json.loads(response.content)["success"]) self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(1, len(json.loads(response.content))) # close early tests def test_can_close_ohqueue(self): self.generate_header(self.ta_user) response = self.client.post('/api/v1/queue/close/', {"queue": "main"}, format="json") self.assertTrue(json.loads(response.content)["success"]) def test_student_cannot_close_ohqueue(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/close/', {"queue": "main"}, format="json") self.assertFalse(json.loads(response.content)["success"]) def test_unauthenticated_cannot_close_ohqueue(self): response = self.client.post('/api/v1/queue/close/', {"queue": "main"}, format="json") self.assertFalse(json.loads(response.content)["success"]) def test_open_then_closed(self): self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(1, len(json.loads(response.content))) self.generate_header(self.ta_user) response = self.client.post('/api/v1/queue/close/', {"queue": "main"}, format="json") self.assertTrue(json.loads(response.content)["success"]) self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(0, len(json.loads(response.content))) # ask questions def test_anon_cant_ask_question(self): response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertIn("Authentication credentials were not provided.", json.loads(response.content)["detail"]) def test_can_ask_question(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(1, len(self.queue.questions.values())) def test_queue_is_open_if_student_still_has_question(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.generate_header(self.ta_user) response = self.client.post('/api/v1/queue/close/', {"queue": "main"}, format="json") self.generate_header(self.student_user) response = self.client.get('/api/v1/queue/list/') self.assertEquals(1, len(json.loads(response.content))) self.generate_header(self.student_user_two) response = self.client.get('/api/v1/queue/list/') self.assertEquals(0, len(json.loads(response.content))) def test_student_cannot_ask_two_question(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(1, len(self.queue.questions.values())) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question 2"}, format="json") self.assertEquals(400, response.status_code) self.assertEquals(1, len(self.queue.questions.values())) def test_student_cannot_ask_two_questions_in_dif_queues(self): queue_two = OHQueue.objects.create(name="second", monday_times="4:00pm-6:00pm") self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(1, len(self.queue.questions.values()) + len(queue_two.questions.values())) response = self.client.post('/api/v1/queue/second/ask/', {"description": "my question 2"}, format="json") self.assertEquals(400, response.status_code) self.assertEquals(1, len(self.queue.questions.values()) + len(queue_two.questions.values())) def test_two_students_can_ask_two_questions_same_queue(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(1, len(self.queue.questions.values())) self.generate_header(self.student_user_two) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question 2"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(2, len(self.queue.questions.values())) self.assertEquals("my question", self.queue.questions.values()[0]["description"]) self.assertEquals("my question 2", self.queue.questions.values()[1]["description"]) def test_two_students_can_ask_two_questions_different_queue(self): queue_two = OHQueue.objects.create(name="second", monday_times="4:00pm-6:00pm") self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(1, len(self.queue.questions.values())) self.generate_header(self.student_user_two) response = self.client.post('/api/v1/queue/second/ask/', {"description": "my question 2"}, format="json") self.assertEquals(201, response.status_code) self.assertEquals(1, len(queue_two.questions.values())) self.assertEquals("my question", self.queue.questions.values()[0]["description"]) self.assertEquals("my question 2", queue_two.questions.values()[0]["description"]) # answering questions def test_ta_can_answer_questions(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) question_id_one = (self.queue.questions.values()[0]["id"]) self.generate_header(self.ta_user) response = self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": question_id_one}, format="json") self.assertEquals(200, response.status_code) self.assertTrue(json.loads(response.content)["success"]) self.assertEquals(0, len(self.queue.questions.values())) def test_anon_cannot_answer_questions(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.client.credentials() response = self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": 1}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals(1, len(self.queue.questions.values())) def test_student_cannot_answer_questions(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.generate_header(self.student_user_two) response = self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": 1}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals(1, len(self.queue.questions.values())) def test_ta_answer_queue_of_two_questions(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.generate_header(self.student_user_two) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question 2"}, format="json") question_id_one = (self.queue.questions.values()[0]["id"]) self.generate_header(self.ta_user) response = self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": question_id_one}, format="json") self.assertEquals("my question 2", self.queue.questions.values()[0]["description"]) self.assertEquals(1, len(self.queue.questions.values())) question_id_two = (self.queue.questions.values()[0]["id"]) self.generate_header(self.ta_user) response = self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": question_id_two}, format="json") self.assertEquals(0, len(self.queue.questions.values())) def test_ta_cannot_answer_not_valid_queue(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) self.generate_header(self.ta_user) response = self.client.post('/api/v1/questions/answer/', {"queue": "random", "question_id": 1}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals(1, len(self.queue.questions.values())) def test_ta_cannot_answer_not_valid_question_id(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) self.generate_header(self.ta_user) response = self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": 15}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals(1, len(self.queue.questions.values())) # edit questions def test_can_edit_question(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals("my question", self.queue.questions.values()[0]["description"]) question_id = str(self.queue.questions.values()[0]["id"]) response = self.client.put('/api/v1/queue/question/' + question_id + '/edit/', {"description": "new question"}, format="json") self.assertTrue(json.loads(response.content)["success"]) self.assertEquals("new question", self.queue.questions.values()[0]["description"]) def test_anon_cannot_edit_question(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals("my question", self.queue.questions.values()[0]["description"]) question_id = str(self.queue.questions.values()[0]["id"]) self.client.credentials() response = self.client.put('/api/v1/queue/question/' + question_id +'/edit/', {"description": "new question"}, format="json") self.assertTrue(401, response.status_code) self.assertEquals("my question", self.queue.questions.values()[0]["description"]) def test_other_student_cannot_edit(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals("my question", self.queue.questions.values()[0]["description"]) question_id = str(self.queue.questions.values()[0]["id"]) self.generate_header(self.student_user_two) response = self.client.put('/api/v1/queue/question/' + question_id + '/edit/', {"description": "new question"}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals("my question", self.queue.questions.values()[0]["description"]) def test_edit_non_existent_question(self): self.generate_header(self.student_user) response = self.client.put('/api/v1/queue/question/15/edit/', {"description": "new question"}, format="json") self.assertFalse(json.loads(response.content)["success"]) # delete questions def test_user_can_delete_question(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) question_id = self.queue.questions.values()[0]["id"] response = self.client.post('/api/v1/questions/delete/', {"question_id": question_id}, format="json") self.assertTrue(json.loads(response.content)["success"]) self.assertEquals(0, len(self.queue.questions.values())) def test_ta_can_delete_question(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) question_id = self.queue.questions.values()[0]["id"] self.generate_header(self.ta_user) response = self.client.post('/api/v1/questions/delete/', {"question_id": question_id}, format="json") self.assertTrue(json.loads(response.content)["success"]) self.assertEquals(0, len(self.queue.questions.values())) def test_anon_cannot_delete_question(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) question_id = self.queue.questions.values()[0]["id"] self.client.credentials() response = self.client.post('/api/v1/questions/delete/', {"question_id": question_id}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals(1, len(self.queue.questions.values())) def test_other_user_cannot_delete_question(self): self.generate_header(self.student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.assertEquals(1, len(self.queue.questions.values())) question_id = self.queue.questions.values()[0]["id"] self.generate_header(self.student_user_two) response = self.client.post('/api/v1/questions/delete/', {"question_id": question_id}, format="json") self.assertFalse(json.loads(response.content)["success"]) self.assertEquals(1, len(self.queue.questions.values())) def test_delete_with_multiple_questions(self): self.generate_header(self.student_user) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") self.generate_header(self.student_user_two) response = self.client.post('/api/v1/queue/main/ask/', {"description": "my question 2"}, format="json") self.assertEquals(2, len(self.queue.questions.values())) question_id = self.queue.questions.values()[0]["id"] self.generate_header(self.student_user) response = self.client.post('/api/v1/questions/delete/', {"question_id": question_id}, format="json") self.assertEquals(1, len(self.queue.questions.values())) self.assertEquals("my question 2", self.queue.questions.values()[0]["description"]) class LoadHandlingTests(TestCase): @freeze_time("2018-12-31 21:00:01", tick=True) def setUp(self): self.client = APIClient() self.queue = OHQueue.objects.create(name="main", monday_times="4:00pm-6:00pm") for i in range(50): self.new_student_ask_question() def gen_random_string(self, l): return ''.join(random.choice(string.ascii_lowercase) for x in range(l)) def generate_header(self, user): token, _ = Token.objects.get_or_create(user=user) self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key) def new_student_ask_question(self): username = self.gen_random_string(8) first_name = self.gen_random_string(8) last_name = self.gen_random_string(8) password = self.gen_random_string(10) student_user = StudentUser.objects.create( username=username, email= username + "@upenn.edu", first_name=first_name, last_name=last_name, password=password ) student_user.set_password(password) student_user.is_active = True student_user.save() self.generate_header(student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") @freeze_time("2018-12-31 21:00:01", tick=True) def test_queue_can_handle_lot_of_questions(self): self.assertEquals(50, len(self.queue.questions.values())) @freeze_time("2018-12-31 21:00:01", tick=True) def test_queue_maintains_order(self): prev_question = None for question in self.queue.questions.values(): if prev_question != None: self.assertTrue(question["ask_date"] > prev_question["ask_date"]) prev_question = question class AverageWaitTimeTesting(TestCase): def setUp(self): self.client = APIClient() self.queue = OHQueue.objects.create(name="main", monday_times="4:00pm-6:00pm") self.ta_user = StudentUser.objects.create(username="ta", email="ta@upenn.edu", first_name="ta", last_name="smith", password="testing123") self.ta_user.set_password("testing123") self.ta_user.is_active = True self.ta_user.is_ta = True self.ta_user.save() self.freezer = freeze_time("2018-12-31 21:00:01") self.freezer.start() def gen_random_string(self, l): return ''.join(random.choice(string.ascii_lowercase) for x in range(l)) def generate_header(self, user): token, _ = Token.objects.get_or_create(user=user) self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key) def new_student_ask_question(self): username = self.gen_random_string(8) first_name = self.gen_random_string(8) last_name = self.gen_random_string(8) password = self.gen_random_string(10) student_user = StudentUser.objects.create( username=username, email= username + "@upenn.edu", first_name=first_name, last_name=last_name, password=password ) student_user.set_password(password) student_user.is_active = True student_user.save() self.generate_header(student_user) self.client.post('/api/v1/queue/main/ask/', {"description": "my question"}, format="json") def answer_top_question(self): question_id_one = (self.queue.questions.values()[0]["id"]) self.generate_header(self.ta_user) self.client.post('/api/v1/questions/answer/', {"queue": "main", "question_id": question_id_one}, format="json") def test_wait_time_is_init_zero(self): self.assertEquals(0, self.queue.average_wait_time) def test_one_question_wait_time_is_zero(self): self.new_student_ask_question() self.freezer.stop() self.freezer = freeze_time("2018-12-31 21:01:01") self.freezer.start() self.answer_top_question() self.queue = OHQueue.objects.get(name="main") self.assertEquals(0, self.queue.average_wait_time) def test_two_question_wait_time_is_one(self): self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:01:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:02:01") self.freezer.start() self.answer_top_question() self.queue = OHQueue.objects.get(name="main") self.assertEquals(.5, self.queue.average_wait_time) def test_three_question_wait_time_is_one(self): self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:01:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:02:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:04:01") self.freezer.start() self.answer_top_question() self.queue = OHQueue.objects.get(name="main") self.assertEquals(1, self.queue.average_wait_time) def test_four_question_wait_time_is_one(self): self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:01:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:02:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:04:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:14:01") self.freezer.start() self.answer_top_question() self.queue = OHQueue.objects.get(name="main") self.assertEquals(3.2, self.queue.average_wait_time) def test_after_one_hour_average_reset(self): self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:01:01") self.freezer.start() self.answer_top_question() self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 21:02:01") self.freezer.start() self.answer_top_question() self.queue = OHQueue.objects.get(name="main") self.assertEquals(.5, self.queue.average_wait_time) self.new_student_ask_question() self.freezer = freeze_time("2018-12-31 22:04:01") self.freezer.start() self.answer_top_question() self.queue = OHQueue.objects.get(name="main") self.assertEquals(0, self.queue.average_wait_time)

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0.03921

0.055589

0.064303

0.91452

0.902112

0.896928

0.890366

0.873932

0.864281

0

0.028291

0.185659

28,170

636

135

44.292453

0.762162

0.006816

0

0.787942

0

0.15035

0.042334

0

0.218295

1

0.12474

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null

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1

0

1

0

null

0

7

98ef59cbc1344f9834b9ab69a326309e855d4512

171,040

py

Python

google/ads/google_ads/v3/proto/errors/errors_pb2.py

jphanwebstaurant/google-ads-python

600812b2afcc4d57f00b47dfe436620ce50bfe9b

[ "Apache-2.0" ]

1

2019-11-30T23:42:39.000Z

google/ads/google_ads/v3/proto/errors/errors_pb2.py

jphanwebstaurant/google-ads-python

600812b2afcc4d57f00b47dfe436620ce50bfe9b

[ "Apache-2.0" ]

null

google/ads/google_ads/v3/proto/errors/errors_pb2.py

jphanwebstaurant/google-ads-python

600812b2afcc4d57f00b47dfe436620ce50bfe9b

[ "Apache-2.0" ]

1

2020-09-30T17:04:06.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/ads/googleads_v3/proto/errors/errors.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.ads.google_ads.v3.proto.common import policy_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_common_dot_policy__pb2 from google.ads.google_ads.v3.proto.common import value_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_common_dot_value__pb2 from google.ads.google_ads.v3.proto.errors import access_invitation_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_access__invitation__error__pb2 from google.ads.google_ads.v3.proto.errors import account_budget_proposal_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_account__budget__proposal__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_customizer_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__customizer__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_group_ad_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__ad__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_group_bid_modifier_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__bid__modifier__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_group_criterion_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__criterion__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_group_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_group_feed_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__feed__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_parameter_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__parameter__error__pb2 from google.ads.google_ads.v3.proto.errors import ad_sharing_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__sharing__error__pb2 from google.ads.google_ads.v3.proto.errors import adx_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_adx__error__pb2 from google.ads.google_ads.v3.proto.errors import asset_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_asset__error__pb2 from google.ads.google_ads.v3.proto.errors import asset_link_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_asset__link__error__pb2 from google.ads.google_ads.v3.proto.errors import authentication_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_authentication__error__pb2 from google.ads.google_ads.v3.proto.errors import authorization_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_authorization__error__pb2 from google.ads.google_ads.v3.proto.errors import bidding_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_bidding__error__pb2 from google.ads.google_ads.v3.proto.errors import bidding_strategy_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_bidding__strategy__error__pb2 from google.ads.google_ads.v3.proto.errors import billing_setup_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_billing__setup__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_budget_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__budget__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_criterion_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__criterion__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_draft_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__draft__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_experiment_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__experiment__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_feed_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__feed__error__pb2 from google.ads.google_ads.v3.proto.errors import campaign_shared_set_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__shared__set__error__pb2 from google.ads.google_ads.v3.proto.errors import change_status_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_change__status__error__pb2 from google.ads.google_ads.v3.proto.errors import collection_size_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_collection__size__error__pb2 from google.ads.google_ads.v3.proto.errors import context_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_context__error__pb2 from google.ads.google_ads.v3.proto.errors import conversion_action_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_conversion__action__error__pb2 from google.ads.google_ads.v3.proto.errors import conversion_adjustment_upload_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_conversion__adjustment__upload__error__pb2 from google.ads.google_ads.v3.proto.errors import conversion_upload_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_conversion__upload__error__pb2 from google.ads.google_ads.v3.proto.errors import country_code_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_country__code__error__pb2 from google.ads.google_ads.v3.proto.errors import criterion_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_criterion__error__pb2 from google.ads.google_ads.v3.proto.errors import currency_code_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_currency__code__error__pb2 from google.ads.google_ads.v3.proto.errors import custom_interest_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_custom__interest__error__pb2 from google.ads.google_ads.v3.proto.errors import customer_client_link_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__client__link__error__pb2 from google.ads.google_ads.v3.proto.errors import customer_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__error__pb2 from google.ads.google_ads.v3.proto.errors import customer_feed_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__feed__error__pb2 from google.ads.google_ads.v3.proto.errors import customer_manager_link_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__manager__link__error__pb2 from google.ads.google_ads.v3.proto.errors import database_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_database__error__pb2 from google.ads.google_ads.v3.proto.errors import date_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_date__error__pb2 from google.ads.google_ads.v3.proto.errors import date_range_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_date__range__error__pb2 from google.ads.google_ads.v3.proto.errors import distinct_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_distinct__error__pb2 from google.ads.google_ads.v3.proto.errors import enum_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_enum__error__pb2 from google.ads.google_ads.v3.proto.errors import extension_feed_item_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_extension__feed__item__error__pb2 from google.ads.google_ads.v3.proto.errors import extension_setting_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_extension__setting__error__pb2 from google.ads.google_ads.v3.proto.errors import feed_attribute_reference_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__attribute__reference__error__pb2 from google.ads.google_ads.v3.proto.errors import feed_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__error__pb2 from google.ads.google_ads.v3.proto.errors import feed_item_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__item__error__pb2 from google.ads.google_ads.v3.proto.errors import feed_item_target_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__item__target__error__pb2 from google.ads.google_ads.v3.proto.errors import feed_item_validation_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__item__validation__error__pb2 from google.ads.google_ads.v3.proto.errors import feed_mapping_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__mapping__error__pb2 from google.ads.google_ads.v3.proto.errors import field_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_field__error__pb2 from google.ads.google_ads.v3.proto.errors import field_mask_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_field__mask__error__pb2 from google.ads.google_ads.v3.proto.errors import function_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_function__error__pb2 from google.ads.google_ads.v3.proto.errors import function_parsing_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_function__parsing__error__pb2 from google.ads.google_ads.v3.proto.errors import geo_target_constant_suggestion_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_geo__target__constant__suggestion__error__pb2 from google.ads.google_ads.v3.proto.errors import header_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_header__error__pb2 from google.ads.google_ads.v3.proto.errors import id_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_id__error__pb2 from google.ads.google_ads.v3.proto.errors import image_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_image__error__pb2 from google.ads.google_ads.v3.proto.errors import internal_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_internal__error__pb2 from google.ads.google_ads.v3.proto.errors import invoice_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_invoice__error__pb2 from google.ads.google_ads.v3.proto.errors import keyword_plan_ad_group_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__ad__group__error__pb2 from google.ads.google_ads.v3.proto.errors import keyword_plan_campaign_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__campaign__error__pb2 from google.ads.google_ads.v3.proto.errors import keyword_plan_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__error__pb2 from google.ads.google_ads.v3.proto.errors import keyword_plan_idea_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__idea__error__pb2 from google.ads.google_ads.v3.proto.errors import keyword_plan_keyword_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__keyword__error__pb2 from google.ads.google_ads.v3.proto.errors import keyword_plan_negative_keyword_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__negative__keyword__error__pb2 from google.ads.google_ads.v3.proto.errors import label_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_label__error__pb2 from google.ads.google_ads.v3.proto.errors import language_code_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_language__code__error__pb2 from google.ads.google_ads.v3.proto.errors import list_operation_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_list__operation__error__pb2 from google.ads.google_ads.v3.proto.errors import manager_link_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_manager__link__error__pb2 from google.ads.google_ads.v3.proto.errors import media_bundle_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_media__bundle__error__pb2 from google.ads.google_ads.v3.proto.errors import media_file_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_media__file__error__pb2 from google.ads.google_ads.v3.proto.errors import media_upload_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_media__upload__error__pb2 from google.ads.google_ads.v3.proto.errors import multiplier_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_multiplier__error__pb2 from google.ads.google_ads.v3.proto.errors import mutate_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_mutate__error__pb2 from google.ads.google_ads.v3.proto.errors import mutate_job_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_mutate__job__error__pb2 from google.ads.google_ads.v3.proto.errors import new_resource_creation_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_new__resource__creation__error__pb2 from google.ads.google_ads.v3.proto.errors import not_empty_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_not__empty__error__pb2 from google.ads.google_ads.v3.proto.errors import not_whitelisted_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_not__whitelisted__error__pb2 from google.ads.google_ads.v3.proto.errors import null_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_null__error__pb2 from google.ads.google_ads.v3.proto.errors import offline_user_data_job_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_offline__user__data__job__error__pb2 from google.ads.google_ads.v3.proto.errors import operation_access_denied_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_operation__access__denied__error__pb2 from google.ads.google_ads.v3.proto.errors import operator_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_operator__error__pb2 from google.ads.google_ads.v3.proto.errors import partial_failure_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_partial__failure__error__pb2 from google.ads.google_ads.v3.proto.errors import payments_account_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_payments__account__error__pb2 from google.ads.google_ads.v3.proto.errors import policy_finding_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_policy__finding__error__pb2 from google.ads.google_ads.v3.proto.errors import policy_validation_parameter_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_policy__validation__parameter__error__pb2 from google.ads.google_ads.v3.proto.errors import policy_violation_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_policy__violation__error__pb2 from google.ads.google_ads.v3.proto.errors import query_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_query__error__pb2 from google.ads.google_ads.v3.proto.errors import quota_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_quota__error__pb2 from google.ads.google_ads.v3.proto.errors import range_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_range__error__pb2 from google.ads.google_ads.v3.proto.errors import reach_plan_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_reach__plan__error__pb2 from google.ads.google_ads.v3.proto.errors import recommendation_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_recommendation__error__pb2 from google.ads.google_ads.v3.proto.errors import region_code_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_region__code__error__pb2 from google.ads.google_ads.v3.proto.errors import request_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_request__error__pb2 from google.ads.google_ads.v3.proto.errors import resource_access_denied_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_resource__access__denied__error__pb2 from google.ads.google_ads.v3.proto.errors import resource_count_limit_exceeded_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_resource__count__limit__exceeded__error__pb2 from google.ads.google_ads.v3.proto.errors import setting_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_setting__error__pb2 from google.ads.google_ads.v3.proto.errors import shared_criterion_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_shared__criterion__error__pb2 from google.ads.google_ads.v3.proto.errors import shared_set_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_shared__set__error__pb2 from google.ads.google_ads.v3.proto.errors import size_limit_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_size__limit__error__pb2 from google.ads.google_ads.v3.proto.errors import string_format_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_string__format__error__pb2 from google.ads.google_ads.v3.proto.errors import string_length_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_string__length__error__pb2 from google.ads.google_ads.v3.proto.errors import time_zone_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_time__zone__error__pb2 from google.ads.google_ads.v3.proto.errors import url_field_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_url__field__error__pb2 from google.ads.google_ads.v3.proto.errors import user_data_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_user__data__error__pb2 from google.ads.google_ads.v3.proto.errors import user_list_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_user__list__error__pb2 from google.ads.google_ads.v3.proto.errors import youtube_video_registration_error_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_youtube__video__registration__error__pb2 from google.protobuf import wrappers_pb2 as google_dot_protobuf_dot_wrappers__pb2 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='google/ads/googleads_v3/proto/errors/errors.proto', package='google.ads.googleads.v3.errors', syntax='proto3', serialized_options=_b('\n\"com.google.ads.googleads.v3.errorsB\013ErrorsProtoP\001ZDgoogle.golang.org/genproto/googleapis/ads/googleads/v3/errors;errors\242\002\003GAA\252\002\036Google.Ads.GoogleAds.V3.Errors\312\002\036Google\\Ads\\GoogleAds\\V3\\Errors\352\002\"Google::Ads::GoogleAds::V3::Errors'), serialized_pb=_b('\n1google/ads/googleads_v3/proto/errors/errors.proto\x12\x1egoogle.ads.googleads.v3.errors\x1a\x31google/ads/googleads_v3/proto/common/policy.proto\x1a\x30google/ads/googleads_v3/proto/common/value.proto\x1a\x42google/ads/googleads_v3/proto/errors/access_invitation_error.proto\x1aHgoogle/ads/googleads_v3/proto/errors/account_budget_proposal_error.proto\x1a>google/ads/googleads_v3/proto/errors/ad_customizer_error.proto\x1a\x33google/ads/googleads_v3/proto/errors/ad_error.proto\x1a<google/ads/googleads_v3/proto/errors/ad_group_ad_error.proto\x1a\x46google/ads/googleads_v3/proto/errors/ad_group_bid_modifier_error.proto\x1a\x43google/ads/googleads_v3/proto/errors/ad_group_criterion_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/ad_group_error.proto\x1a>google/ads/googleads_v3/proto/errors/ad_group_feed_error.proto\x1a=google/ads/googleads_v3/proto/errors/ad_parameter_error.proto\x1a;google/ads/googleads_v3/proto/errors/ad_sharing_error.proto\x1a\x34google/ads/googleads_v3/proto/errors/adx_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/asset_error.proto\x1a;google/ads/googleads_v3/proto/errors/asset_link_error.proto\x1a?google/ads/googleads_v3/proto/errors/authentication_error.proto\x1a>google/ads/googleads_v3/proto/errors/authorization_error.proto\x1a\x38google/ads/googleads_v3/proto/errors/bidding_error.proto\x1a\x41google/ads/googleads_v3/proto/errors/bidding_strategy_error.proto\x1a>google/ads/googleads_v3/proto/errors/billing_setup_error.proto\x1a@google/ads/googleads_v3/proto/errors/campaign_budget_error.proto\x1a\x43google/ads/googleads_v3/proto/errors/campaign_criterion_error.proto\x1a?google/ads/googleads_v3/proto/errors/campaign_draft_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/campaign_error.proto\x1a\x44google/ads/googleads_v3/proto/errors/campaign_experiment_error.proto\x1a>google/ads/googleads_v3/proto/errors/campaign_feed_error.proto\x1a\x44google/ads/googleads_v3/proto/errors/campaign_shared_set_error.proto\x1a>google/ads/googleads_v3/proto/errors/change_status_error.proto\x1a@google/ads/googleads_v3/proto/errors/collection_size_error.proto\x1a\x38google/ads/googleads_v3/proto/errors/context_error.proto\x1a\x42google/ads/googleads_v3/proto/errors/conversion_action_error.proto\x1aMgoogle/ads/googleads_v3/proto/errors/conversion_adjustment_upload_error.proto\x1a\x42google/ads/googleads_v3/proto/errors/conversion_upload_error.proto\x1a=google/ads/googleads_v3/proto/errors/country_code_error.proto\x1a:google/ads/googleads_v3/proto/errors/criterion_error.proto\x1a>google/ads/googleads_v3/proto/errors/currency_code_error.proto\x1a@google/ads/googleads_v3/proto/errors/custom_interest_error.proto\x1a\x45google/ads/googleads_v3/proto/errors/customer_client_link_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/customer_error.proto\x1a>google/ads/googleads_v3/proto/errors/customer_feed_error.proto\x1a\x46google/ads/googleads_v3/proto/errors/customer_manager_link_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/database_error.proto\x1a\x35google/ads/googleads_v3/proto/errors/date_error.proto\x1a;google/ads/googleads_v3/proto/errors/date_range_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/distinct_error.proto\x1a\x35google/ads/googleads_v3/proto/errors/enum_error.proto\x1a\x44google/ads/googleads_v3/proto/errors/extension_feed_item_error.proto\x1a\x42google/ads/googleads_v3/proto/errors/extension_setting_error.proto\x1aIgoogle/ads/googleads_v3/proto/errors/feed_attribute_reference_error.proto\x1a\x35google/ads/googleads_v3/proto/errors/feed_error.proto\x1a:google/ads/googleads_v3/proto/errors/feed_item_error.proto\x1a\x41google/ads/googleads_v3/proto/errors/feed_item_target_error.proto\x1a\x45google/ads/googleads_v3/proto/errors/feed_item_validation_error.proto\x1a=google/ads/googleads_v3/proto/errors/feed_mapping_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/field_error.proto\x1a;google/ads/googleads_v3/proto/errors/field_mask_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/function_error.proto\x1a\x41google/ads/googleads_v3/proto/errors/function_parsing_error.proto\x1aOgoogle/ads/googleads_v3/proto/errors/geo_target_constant_suggestion_error.proto\x1a\x37google/ads/googleads_v3/proto/errors/header_error.proto\x1a\x33google/ads/googleads_v3/proto/errors/id_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/image_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/internal_error.proto\x1a\x38google/ads/googleads_v3/proto/errors/invoice_error.proto\x1a\x46google/ads/googleads_v3/proto/errors/keyword_plan_ad_group_error.proto\x1a\x46google/ads/googleads_v3/proto/errors/keyword_plan_campaign_error.proto\x1a=google/ads/googleads_v3/proto/errors/keyword_plan_error.proto\x1a\x42google/ads/googleads_v3/proto/errors/keyword_plan_idea_error.proto\x1a\x45google/ads/googleads_v3/proto/errors/keyword_plan_keyword_error.proto\x1aNgoogle/ads/googleads_v3/proto/errors/keyword_plan_negative_keyword_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/label_error.proto\x1a>google/ads/googleads_v3/proto/errors/language_code_error.proto\x1a?google/ads/googleads_v3/proto/errors/list_operation_error.proto\x1a=google/ads/googleads_v3/proto/errors/manager_link_error.proto\x1a=google/ads/googleads_v3/proto/errors/media_bundle_error.proto\x1a;google/ads/googleads_v3/proto/errors/media_file_error.proto\x1a=google/ads/googleads_v3/proto/errors/media_upload_error.proto\x1a;google/ads/googleads_v3/proto/errors/multiplier_error.proto\x1a\x37google/ads/googleads_v3/proto/errors/mutate_error.proto\x1a;google/ads/googleads_v3/proto/errors/mutate_job_error.proto\x1a\x46google/ads/googleads_v3/proto/errors/new_resource_creation_error.proto\x1a:google/ads/googleads_v3/proto/errors/not_empty_error.proto\x1a@google/ads/googleads_v3/proto/errors/not_whitelisted_error.proto\x1a\x35google/ads/googleads_v3/proto/errors/null_error.proto\x1a\x46google/ads/googleads_v3/proto/errors/offline_user_data_job_error.proto\x1aHgoogle/ads/googleads_v3/proto/errors/operation_access_denied_error.proto\x1a\x39google/ads/googleads_v3/proto/errors/operator_error.proto\x1a@google/ads/googleads_v3/proto/errors/partial_failure_error.proto\x1a\x41google/ads/googleads_v3/proto/errors/payments_account_error.proto\x1a?google/ads/googleads_v3/proto/errors/policy_finding_error.proto\x1aLgoogle/ads/googleads_v3/proto/errors/policy_validation_parameter_error.proto\x1a\x41google/ads/googleads_v3/proto/errors/policy_violation_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/query_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/quota_error.proto\x1a\x36google/ads/googleads_v3/proto/errors/range_error.proto\x1a;google/ads/googleads_v3/proto/errors/reach_plan_error.proto\x1a?google/ads/googleads_v3/proto/errors/recommendation_error.proto\x1a<google/ads/googleads_v3/proto/errors/region_code_error.proto\x1a\x38google/ads/googleads_v3/proto/errors/request_error.proto\x1aGgoogle/ads/googleads_v3/proto/errors/resource_access_denied_error.proto\x1aNgoogle/ads/googleads_v3/proto/errors/resource_count_limit_exceeded_error.proto\x1a\x38google/ads/googleads_v3/proto/errors/setting_error.proto\x1a\x41google/ads/googleads_v3/proto/errors/shared_criterion_error.proto\x1a;google/ads/googleads_v3/proto/errors/shared_set_error.proto\x1a;google/ads/googleads_v3/proto/errors/size_limit_error.proto\x1a>google/ads/googleads_v3/proto/errors/string_format_error.proto\x1a>google/ads/googleads_v3/proto/errors/string_length_error.proto\x1a:google/ads/googleads_v3/proto/errors/time_zone_error.proto\x1a:google/ads/googleads_v3/proto/errors/url_field_error.proto\x1a:google/ads/googleads_v3/proto/errors/user_data_error.proto\x1a:google/ads/googleads_v3/proto/errors/user_list_error.proto\x1aKgoogle/ads/googleads_v3/proto/errors/youtube_video_registration_error.proto\x1a\x1egoogle/protobuf/wrappers.proto\x1a\x1cgoogle/api/annotations.proto\"R\n\x10GoogleAdsFailure\x12>\n\x06\x65rrors\x18\x01 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_GOOGLEADSFAILURE = _descriptor.Descriptor( name='GoogleAdsFailure', full_name='google.ads.googleads.v3.errors.GoogleAdsFailure', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='errors', full_name='google.ads.googleads.v3.errors.GoogleAdsFailure.errors', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=7356, serialized_end=7438, ) _GOOGLEADSERROR = _descriptor.Descriptor( name='GoogleAdsError', full_name='google.ads.googleads.v3.errors.GoogleAdsError', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='error_code', full_name='google.ads.googleads.v3.errors.GoogleAdsError.error_code', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='message', full_name='google.ads.googleads.v3.errors.GoogleAdsError.message', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='trigger', full_name='google.ads.googleads.v3.errors.GoogleAdsError.trigger', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='location', full_name='google.ads.googleads.v3.errors.GoogleAdsError.location', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='details', full_name='google.ads.googleads.v3.errors.GoogleAdsError.details', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=7441, serialized_end=7721, ) _ERRORCODE = _descriptor.Descriptor( name='ErrorCode', full_name='google.ads.googleads.v3.errors.ErrorCode', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='request_error', full_name='google.ads.googleads.v3.errors.ErrorCode.request_error', index=0, number=1, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='bidding_strategy_error', full_name='google.ads.googleads.v3.errors.ErrorCode.bidding_strategy_error', index=1, number=2, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='url_field_error', full_name='google.ads.googleads.v3.errors.ErrorCode.url_field_error', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='list_operation_error', full_name='google.ads.googleads.v3.errors.ErrorCode.list_operation_error', index=3, number=4, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='query_error', full_name='google.ads.googleads.v3.errors.ErrorCode.query_error', index=4, number=5, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='mutate_error', full_name='google.ads.googleads.v3.errors.ErrorCode.mutate_error', index=5, number=7, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='field_mask_error', full_name='google.ads.googleads.v3.errors.ErrorCode.field_mask_error', index=6, number=8, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='authorization_error', full_name='google.ads.googleads.v3.errors.ErrorCode.authorization_error', index=7, number=9, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='internal_error', full_name='google.ads.googleads.v3.errors.ErrorCode.internal_error', index=8, number=10, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quota_error', full_name='google.ads.googleads.v3.errors.ErrorCode.quota_error', index=9, number=11, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_error', index=10, number=12, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_group_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_group_error', index=11, number=13, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_budget_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_budget_error', index=12, number=14, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_error', index=13, number=15, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='authentication_error', full_name='google.ads.googleads.v3.errors.ErrorCode.authentication_error', index=14, number=17, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_group_criterion_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_group_criterion_error', index=15, number=18, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_customizer_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_customizer_error', index=16, number=19, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_group_ad_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_group_ad_error', index=17, number=21, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_sharing_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_sharing_error', index=18, number=24, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='adx_error', full_name='google.ads.googleads.v3.errors.ErrorCode.adx_error', index=19, number=25, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='asset_error', full_name='google.ads.googleads.v3.errors.ErrorCode.asset_error', index=20, number=107, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='bidding_error', full_name='google.ads.googleads.v3.errors.ErrorCode.bidding_error', index=21, number=26, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_criterion_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_criterion_error', index=22, number=29, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='collection_size_error', full_name='google.ads.googleads.v3.errors.ErrorCode.collection_size_error', index=23, number=31, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='country_code_error', full_name='google.ads.googleads.v3.errors.ErrorCode.country_code_error', index=24, number=109, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='criterion_error', full_name='google.ads.googleads.v3.errors.ErrorCode.criterion_error', index=25, number=32, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='customer_error', full_name='google.ads.googleads.v3.errors.ErrorCode.customer_error', index=26, number=90, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='date_error', full_name='google.ads.googleads.v3.errors.ErrorCode.date_error', index=27, number=33, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='date_range_error', full_name='google.ads.googleads.v3.errors.ErrorCode.date_range_error', index=28, number=34, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distinct_error', full_name='google.ads.googleads.v3.errors.ErrorCode.distinct_error', index=29, number=35, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed_attribute_reference_error', full_name='google.ads.googleads.v3.errors.ErrorCode.feed_attribute_reference_error', index=30, number=36, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_error', full_name='google.ads.googleads.v3.errors.ErrorCode.function_error', index=31, number=37, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_parsing_error', full_name='google.ads.googleads.v3.errors.ErrorCode.function_parsing_error', index=32, number=38, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='id_error', full_name='google.ads.googleads.v3.errors.ErrorCode.id_error', index=33, number=39, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='image_error', full_name='google.ads.googleads.v3.errors.ErrorCode.image_error', index=34, number=40, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='language_code_error', full_name='google.ads.googleads.v3.errors.ErrorCode.language_code_error', index=35, number=110, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='media_bundle_error', full_name='google.ads.googleads.v3.errors.ErrorCode.media_bundle_error', index=36, number=42, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='media_upload_error', full_name='google.ads.googleads.v3.errors.ErrorCode.media_upload_error', index=37, number=116, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='media_file_error', full_name='google.ads.googleads.v3.errors.ErrorCode.media_file_error', index=38, number=86, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='multiplier_error', full_name='google.ads.googleads.v3.errors.ErrorCode.multiplier_error', index=39, number=44, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='new_resource_creation_error', full_name='google.ads.googleads.v3.errors.ErrorCode.new_resource_creation_error', index=40, number=45, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='not_empty_error', full_name='google.ads.googleads.v3.errors.ErrorCode.not_empty_error', index=41, number=46, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='null_error', full_name='google.ads.googleads.v3.errors.ErrorCode.null_error', index=42, number=47, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='operator_error', full_name='google.ads.googleads.v3.errors.ErrorCode.operator_error', index=43, number=48, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='range_error', full_name='google.ads.googleads.v3.errors.ErrorCode.range_error', index=44, number=49, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='recommendation_error', full_name='google.ads.googleads.v3.errors.ErrorCode.recommendation_error', index=45, number=58, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='region_code_error', full_name='google.ads.googleads.v3.errors.ErrorCode.region_code_error', index=46, number=51, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='setting_error', full_name='google.ads.googleads.v3.errors.ErrorCode.setting_error', index=47, number=52, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='string_format_error', full_name='google.ads.googleads.v3.errors.ErrorCode.string_format_error', index=48, number=53, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='string_length_error', full_name='google.ads.googleads.v3.errors.ErrorCode.string_length_error', index=49, number=54, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='operation_access_denied_error', full_name='google.ads.googleads.v3.errors.ErrorCode.operation_access_denied_error', index=50, number=55, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='resource_access_denied_error', full_name='google.ads.googleads.v3.errors.ErrorCode.resource_access_denied_error', index=51, number=56, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='resource_count_limit_exceeded_error', full_name='google.ads.googleads.v3.errors.ErrorCode.resource_count_limit_exceeded_error', index=52, number=57, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='youtube_video_registration_error', full_name='google.ads.googleads.v3.errors.ErrorCode.youtube_video_registration_error', index=53, number=117, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_group_bid_modifier_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_group_bid_modifier_error', index=54, number=59, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='context_error', full_name='google.ads.googleads.v3.errors.ErrorCode.context_error', index=55, number=60, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='field_error', full_name='google.ads.googleads.v3.errors.ErrorCode.field_error', index=56, number=61, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='shared_set_error', full_name='google.ads.googleads.v3.errors.ErrorCode.shared_set_error', index=57, number=62, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='shared_criterion_error', full_name='google.ads.googleads.v3.errors.ErrorCode.shared_criterion_error', index=58, number=63, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_shared_set_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_shared_set_error', index=59, number=64, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='conversion_action_error', full_name='google.ads.googleads.v3.errors.ErrorCode.conversion_action_error', index=60, number=65, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='conversion_adjustment_upload_error', full_name='google.ads.googleads.v3.errors.ErrorCode.conversion_adjustment_upload_error', index=61, number=115, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='conversion_upload_error', full_name='google.ads.googleads.v3.errors.ErrorCode.conversion_upload_error', index=62, number=111, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='header_error', full_name='google.ads.googleads.v3.errors.ErrorCode.header_error', index=63, number=66, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='database_error', full_name='google.ads.googleads.v3.errors.ErrorCode.database_error', index=64, number=67, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='policy_finding_error', full_name='google.ads.googleads.v3.errors.ErrorCode.policy_finding_error', index=65, number=68, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='enum_error', full_name='google.ads.googleads.v3.errors.ErrorCode.enum_error', index=66, number=70, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='keyword_plan_error', full_name='google.ads.googleads.v3.errors.ErrorCode.keyword_plan_error', index=67, number=71, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='keyword_plan_campaign_error', full_name='google.ads.googleads.v3.errors.ErrorCode.keyword_plan_campaign_error', index=68, number=72, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='keyword_plan_negative_keyword_error', full_name='google.ads.googleads.v3.errors.ErrorCode.keyword_plan_negative_keyword_error', index=69, number=73, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='keyword_plan_ad_group_error', full_name='google.ads.googleads.v3.errors.ErrorCode.keyword_plan_ad_group_error', index=70, number=74, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='keyword_plan_keyword_error', full_name='google.ads.googleads.v3.errors.ErrorCode.keyword_plan_keyword_error', index=71, number=75, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='keyword_plan_idea_error', full_name='google.ads.googleads.v3.errors.ErrorCode.keyword_plan_idea_error', index=72, number=76, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='account_budget_proposal_error', full_name='google.ads.googleads.v3.errors.ErrorCode.account_budget_proposal_error', index=73, number=77, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='user_list_error', full_name='google.ads.googleads.v3.errors.ErrorCode.user_list_error', index=74, number=78, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='change_status_error', full_name='google.ads.googleads.v3.errors.ErrorCode.change_status_error', index=75, number=79, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed_error', full_name='google.ads.googleads.v3.errors.ErrorCode.feed_error', index=76, number=80, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='geo_target_constant_suggestion_error', full_name='google.ads.googleads.v3.errors.ErrorCode.geo_target_constant_suggestion_error', index=77, number=81, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_draft_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_draft_error', index=78, number=82, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed_item_error', full_name='google.ads.googleads.v3.errors.ErrorCode.feed_item_error', index=79, number=83, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='label_error', full_name='google.ads.googleads.v3.errors.ErrorCode.label_error', index=80, number=84, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='billing_setup_error', full_name='google.ads.googleads.v3.errors.ErrorCode.billing_setup_error', index=81, number=87, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='customer_client_link_error', full_name='google.ads.googleads.v3.errors.ErrorCode.customer_client_link_error', index=82, number=88, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='customer_manager_link_error', full_name='google.ads.googleads.v3.errors.ErrorCode.customer_manager_link_error', index=83, number=91, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed_mapping_error', full_name='google.ads.googleads.v3.errors.ErrorCode.feed_mapping_error', index=84, number=92, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='customer_feed_error', full_name='google.ads.googleads.v3.errors.ErrorCode.customer_feed_error', index=85, number=93, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_group_feed_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_group_feed_error', index=86, number=94, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_feed_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_feed_error', index=87, number=96, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='custom_interest_error', full_name='google.ads.googleads.v3.errors.ErrorCode.custom_interest_error', index=88, number=97, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='campaign_experiment_error', full_name='google.ads.googleads.v3.errors.ErrorCode.campaign_experiment_error', index=89, number=98, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='extension_feed_item_error', full_name='google.ads.googleads.v3.errors.ErrorCode.extension_feed_item_error', index=90, number=100, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ad_parameter_error', full_name='google.ads.googleads.v3.errors.ErrorCode.ad_parameter_error', index=91, number=101, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed_item_validation_error', full_name='google.ads.googleads.v3.errors.ErrorCode.feed_item_validation_error', index=92, number=102, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='extension_setting_error', full_name='google.ads.googleads.v3.errors.ErrorCode.extension_setting_error', index=93, number=103, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed_item_target_error', full_name='google.ads.googleads.v3.errors.ErrorCode.feed_item_target_error', index=94, number=104, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='policy_violation_error', full_name='google.ads.googleads.v3.errors.ErrorCode.policy_violation_error', index=95, number=105, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='mutate_job_error', full_name='google.ads.googleads.v3.errors.ErrorCode.mutate_job_error', index=96, number=108, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='partial_failure_error', full_name='google.ads.googleads.v3.errors.ErrorCode.partial_failure_error', index=97, number=112, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='policy_validation_parameter_error', full_name='google.ads.googleads.v3.errors.ErrorCode.policy_validation_parameter_error', index=98, number=114, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='size_limit_error', full_name='google.ads.googleads.v3.errors.ErrorCode.size_limit_error', index=99, number=118, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='offline_user_data_job_error', full_name='google.ads.googleads.v3.errors.ErrorCode.offline_user_data_job_error', index=100, number=119, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='not_whitelisted_error', full_name='google.ads.googleads.v3.errors.ErrorCode.not_whitelisted_error', index=101, number=120, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='manager_link_error', full_name='google.ads.googleads.v3.errors.ErrorCode.manager_link_error', index=102, number=121, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='currency_code_error', full_name='google.ads.googleads.v3.errors.ErrorCode.currency_code_error', index=103, number=122, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='access_invitation_error', full_name='google.ads.googleads.v3.errors.ErrorCode.access_invitation_error', index=104, number=124, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='reach_plan_error', full_name='google.ads.googleads.v3.errors.ErrorCode.reach_plan_error', index=105, number=125, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='invoice_error', full_name='google.ads.googleads.v3.errors.ErrorCode.invoice_error', index=106, number=126, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='payments_account_error', full_name='google.ads.googleads.v3.errors.ErrorCode.payments_account_error', index=107, number=127, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='time_zone_error', full_name='google.ads.googleads.v3.errors.ErrorCode.time_zone_error', index=108, number=128, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='asset_link_error', full_name='google.ads.googleads.v3.errors.ErrorCode.asset_link_error', index=109, number=129, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='user_data_error', full_name='google.ads.googleads.v3.errors.ErrorCode.user_data_error', index=110, number=130, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='error_code', full_name='google.ads.googleads.v3.errors.ErrorCode.error_code', index=0, containing_type=None, fields=[]), ], serialized_start=7724, serialized_end=19319, ) _ERRORLOCATION_FIELDPATHELEMENT = _descriptor.Descriptor( name='FieldPathElement', full_name='google.ads.googleads.v3.errors.ErrorLocation.FieldPathElement', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='field_name', full_name='google.ads.googleads.v3.errors.ErrorLocation.FieldPathElement.field_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='index', full_name='google.ads.googleads.v3.errors.ErrorLocation.FieldPathElement.index', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=19432, serialized_end=19514, ) _ERRORLOCATION = _descriptor.Descriptor( name='ErrorLocation', full_name='google.ads.googleads.v3.errors.ErrorLocation', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='field_path_elements', full_name='google.ads.googleads.v3.errors.ErrorLocation.field_path_elements', index=0, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_ERRORLOCATION_FIELDPATHELEMENT, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=19322, serialized_end=19514, ) _ERRORDETAILS = _descriptor.Descriptor( name='ErrorDetails', full_name='google.ads.googleads.v3.errors.ErrorDetails', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='unpublished_error_code', full_name='google.ads.googleads.v3.errors.ErrorDetails.unpublished_error_code', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='policy_violation_details', full_name='google.ads.googleads.v3.errors.ErrorDetails.policy_violation_details', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='policy_finding_details', full_name='google.ads.googleads.v3.errors.ErrorDetails.policy_finding_details', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=19517, serialized_end=19739, ) _POLICYVIOLATIONDETAILS = _descriptor.Descriptor( name='PolicyViolationDetails', full_name='google.ads.googleads.v3.errors.PolicyViolationDetails', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='external_policy_description', full_name='google.ads.googleads.v3.errors.PolicyViolationDetails.external_policy_description', index=0, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='key', full_name='google.ads.googleads.v3.errors.PolicyViolationDetails.key', index=1, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='external_policy_name', full_name='google.ads.googleads.v3.errors.PolicyViolationDetails.external_policy_name', index=2, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='is_exemptible', full_name='google.ads.googleads.v3.errors.PolicyViolationDetails.is_exemptible', index=3, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=19742, serialized_end=19921, ) _POLICYFINDINGDETAILS = _descriptor.Descriptor( name='PolicyFindingDetails', full_name='google.ads.googleads.v3.errors.PolicyFindingDetails', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='policy_topic_entries', full_name='google.ads.googleads.v3.errors.PolicyFindingDetails.policy_topic_entries', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=19923, serialized_end=20025, ) _GOOGLEADSFAILURE.fields_by_name['errors'].message_type = _GOOGLEADSERROR _GOOGLEADSERROR.fields_by_name['error_code'].message_type = _ERRORCODE _GOOGLEADSERROR.fields_by_name['trigger'].message_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_common_dot_value__pb2._VALUE _GOOGLEADSERROR.fields_by_name['location'].message_type = _ERRORLOCATION _GOOGLEADSERROR.fields_by_name['details'].message_type = _ERRORDETAILS _ERRORCODE.fields_by_name['request_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_request__error__pb2._REQUESTERRORENUM_REQUESTERROR _ERRORCODE.fields_by_name['bidding_strategy_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_bidding__strategy__error__pb2._BIDDINGSTRATEGYERRORENUM_BIDDINGSTRATEGYERROR _ERRORCODE.fields_by_name['url_field_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_url__field__error__pb2._URLFIELDERRORENUM_URLFIELDERROR _ERRORCODE.fields_by_name['list_operation_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_list__operation__error__pb2._LISTOPERATIONERRORENUM_LISTOPERATIONERROR _ERRORCODE.fields_by_name['query_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_query__error__pb2._QUERYERRORENUM_QUERYERROR _ERRORCODE.fields_by_name['mutate_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_mutate__error__pb2._MUTATEERRORENUM_MUTATEERROR _ERRORCODE.fields_by_name['field_mask_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_field__mask__error__pb2._FIELDMASKERRORENUM_FIELDMASKERROR _ERRORCODE.fields_by_name['authorization_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_authorization__error__pb2._AUTHORIZATIONERRORENUM_AUTHORIZATIONERROR _ERRORCODE.fields_by_name['internal_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_internal__error__pb2._INTERNALERRORENUM_INTERNALERROR _ERRORCODE.fields_by_name['quota_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_quota__error__pb2._QUOTAERRORENUM_QUOTAERROR _ERRORCODE.fields_by_name['ad_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__error__pb2._ADERRORENUM_ADERROR _ERRORCODE.fields_by_name['ad_group_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__error__pb2._ADGROUPERRORENUM_ADGROUPERROR _ERRORCODE.fields_by_name['campaign_budget_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__budget__error__pb2._CAMPAIGNBUDGETERRORENUM_CAMPAIGNBUDGETERROR _ERRORCODE.fields_by_name['campaign_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__error__pb2._CAMPAIGNERRORENUM_CAMPAIGNERROR _ERRORCODE.fields_by_name['authentication_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_authentication__error__pb2._AUTHENTICATIONERRORENUM_AUTHENTICATIONERROR _ERRORCODE.fields_by_name['ad_group_criterion_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__criterion__error__pb2._ADGROUPCRITERIONERRORENUM_ADGROUPCRITERIONERROR _ERRORCODE.fields_by_name['ad_customizer_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__customizer__error__pb2._ADCUSTOMIZERERRORENUM_ADCUSTOMIZERERROR _ERRORCODE.fields_by_name['ad_group_ad_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__ad__error__pb2._ADGROUPADERRORENUM_ADGROUPADERROR _ERRORCODE.fields_by_name['ad_sharing_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__sharing__error__pb2._ADSHARINGERRORENUM_ADSHARINGERROR _ERRORCODE.fields_by_name['adx_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_adx__error__pb2._ADXERRORENUM_ADXERROR _ERRORCODE.fields_by_name['asset_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_asset__error__pb2._ASSETERRORENUM_ASSETERROR _ERRORCODE.fields_by_name['bidding_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_bidding__error__pb2._BIDDINGERRORENUM_BIDDINGERROR _ERRORCODE.fields_by_name['campaign_criterion_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__criterion__error__pb2._CAMPAIGNCRITERIONERRORENUM_CAMPAIGNCRITERIONERROR _ERRORCODE.fields_by_name['collection_size_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_collection__size__error__pb2._COLLECTIONSIZEERRORENUM_COLLECTIONSIZEERROR _ERRORCODE.fields_by_name['country_code_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_country__code__error__pb2._COUNTRYCODEERRORENUM_COUNTRYCODEERROR _ERRORCODE.fields_by_name['criterion_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_criterion__error__pb2._CRITERIONERRORENUM_CRITERIONERROR _ERRORCODE.fields_by_name['customer_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__error__pb2._CUSTOMERERRORENUM_CUSTOMERERROR _ERRORCODE.fields_by_name['date_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_date__error__pb2._DATEERRORENUM_DATEERROR _ERRORCODE.fields_by_name['date_range_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_date__range__error__pb2._DATERANGEERRORENUM_DATERANGEERROR _ERRORCODE.fields_by_name['distinct_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_distinct__error__pb2._DISTINCTERRORENUM_DISTINCTERROR _ERRORCODE.fields_by_name['feed_attribute_reference_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__attribute__reference__error__pb2._FEEDATTRIBUTEREFERENCEERRORENUM_FEEDATTRIBUTEREFERENCEERROR _ERRORCODE.fields_by_name['function_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_function__error__pb2._FUNCTIONERRORENUM_FUNCTIONERROR _ERRORCODE.fields_by_name['function_parsing_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_function__parsing__error__pb2._FUNCTIONPARSINGERRORENUM_FUNCTIONPARSINGERROR _ERRORCODE.fields_by_name['id_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_id__error__pb2._IDERRORENUM_IDERROR _ERRORCODE.fields_by_name['image_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_image__error__pb2._IMAGEERRORENUM_IMAGEERROR _ERRORCODE.fields_by_name['language_code_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_language__code__error__pb2._LANGUAGECODEERRORENUM_LANGUAGECODEERROR _ERRORCODE.fields_by_name['media_bundle_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_media__bundle__error__pb2._MEDIABUNDLEERRORENUM_MEDIABUNDLEERROR _ERRORCODE.fields_by_name['media_upload_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_media__upload__error__pb2._MEDIAUPLOADERRORENUM_MEDIAUPLOADERROR _ERRORCODE.fields_by_name['media_file_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_media__file__error__pb2._MEDIAFILEERRORENUM_MEDIAFILEERROR _ERRORCODE.fields_by_name['multiplier_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_multiplier__error__pb2._MULTIPLIERERRORENUM_MULTIPLIERERROR _ERRORCODE.fields_by_name['new_resource_creation_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_new__resource__creation__error__pb2._NEWRESOURCECREATIONERRORENUM_NEWRESOURCECREATIONERROR _ERRORCODE.fields_by_name['not_empty_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_not__empty__error__pb2._NOTEMPTYERRORENUM_NOTEMPTYERROR _ERRORCODE.fields_by_name['null_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_null__error__pb2._NULLERRORENUM_NULLERROR _ERRORCODE.fields_by_name['operator_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_operator__error__pb2._OPERATORERRORENUM_OPERATORERROR _ERRORCODE.fields_by_name['range_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_range__error__pb2._RANGEERRORENUM_RANGEERROR _ERRORCODE.fields_by_name['recommendation_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_recommendation__error__pb2._RECOMMENDATIONERRORENUM_RECOMMENDATIONERROR _ERRORCODE.fields_by_name['region_code_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_region__code__error__pb2._REGIONCODEERRORENUM_REGIONCODEERROR _ERRORCODE.fields_by_name['setting_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_setting__error__pb2._SETTINGERRORENUM_SETTINGERROR _ERRORCODE.fields_by_name['string_format_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_string__format__error__pb2._STRINGFORMATERRORENUM_STRINGFORMATERROR _ERRORCODE.fields_by_name['string_length_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_string__length__error__pb2._STRINGLENGTHERRORENUM_STRINGLENGTHERROR _ERRORCODE.fields_by_name['operation_access_denied_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_operation__access__denied__error__pb2._OPERATIONACCESSDENIEDERRORENUM_OPERATIONACCESSDENIEDERROR _ERRORCODE.fields_by_name['resource_access_denied_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_resource__access__denied__error__pb2._RESOURCEACCESSDENIEDERRORENUM_RESOURCEACCESSDENIEDERROR _ERRORCODE.fields_by_name['resource_count_limit_exceeded_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_resource__count__limit__exceeded__error__pb2._RESOURCECOUNTLIMITEXCEEDEDERRORENUM_RESOURCECOUNTLIMITEXCEEDEDERROR _ERRORCODE.fields_by_name['youtube_video_registration_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_youtube__video__registration__error__pb2._YOUTUBEVIDEOREGISTRATIONERRORENUM_YOUTUBEVIDEOREGISTRATIONERROR _ERRORCODE.fields_by_name['ad_group_bid_modifier_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__bid__modifier__error__pb2._ADGROUPBIDMODIFIERERRORENUM_ADGROUPBIDMODIFIERERROR _ERRORCODE.fields_by_name['context_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_context__error__pb2._CONTEXTERRORENUM_CONTEXTERROR _ERRORCODE.fields_by_name['field_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_field__error__pb2._FIELDERRORENUM_FIELDERROR _ERRORCODE.fields_by_name['shared_set_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_shared__set__error__pb2._SHAREDSETERRORENUM_SHAREDSETERROR _ERRORCODE.fields_by_name['shared_criterion_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_shared__criterion__error__pb2._SHAREDCRITERIONERRORENUM_SHAREDCRITERIONERROR _ERRORCODE.fields_by_name['campaign_shared_set_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__shared__set__error__pb2._CAMPAIGNSHAREDSETERRORENUM_CAMPAIGNSHAREDSETERROR _ERRORCODE.fields_by_name['conversion_action_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_conversion__action__error__pb2._CONVERSIONACTIONERRORENUM_CONVERSIONACTIONERROR _ERRORCODE.fields_by_name['conversion_adjustment_upload_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_conversion__adjustment__upload__error__pb2._CONVERSIONADJUSTMENTUPLOADERRORENUM_CONVERSIONADJUSTMENTUPLOADERROR _ERRORCODE.fields_by_name['conversion_upload_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_conversion__upload__error__pb2._CONVERSIONUPLOADERRORENUM_CONVERSIONUPLOADERROR _ERRORCODE.fields_by_name['header_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_header__error__pb2._HEADERERRORENUM_HEADERERROR _ERRORCODE.fields_by_name['database_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_database__error__pb2._DATABASEERRORENUM_DATABASEERROR _ERRORCODE.fields_by_name['policy_finding_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_policy__finding__error__pb2._POLICYFINDINGERRORENUM_POLICYFINDINGERROR _ERRORCODE.fields_by_name['enum_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_enum__error__pb2._ENUMERRORENUM_ENUMERROR _ERRORCODE.fields_by_name['keyword_plan_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__error__pb2._KEYWORDPLANERRORENUM_KEYWORDPLANERROR _ERRORCODE.fields_by_name['keyword_plan_campaign_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__campaign__error__pb2._KEYWORDPLANCAMPAIGNERRORENUM_KEYWORDPLANCAMPAIGNERROR _ERRORCODE.fields_by_name['keyword_plan_negative_keyword_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__negative__keyword__error__pb2._KEYWORDPLANNEGATIVEKEYWORDERRORENUM_KEYWORDPLANNEGATIVEKEYWORDERROR _ERRORCODE.fields_by_name['keyword_plan_ad_group_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__ad__group__error__pb2._KEYWORDPLANADGROUPERRORENUM_KEYWORDPLANADGROUPERROR _ERRORCODE.fields_by_name['keyword_plan_keyword_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__keyword__error__pb2._KEYWORDPLANKEYWORDERRORENUM_KEYWORDPLANKEYWORDERROR _ERRORCODE.fields_by_name['keyword_plan_idea_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_keyword__plan__idea__error__pb2._KEYWORDPLANIDEAERRORENUM_KEYWORDPLANIDEAERROR _ERRORCODE.fields_by_name['account_budget_proposal_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_account__budget__proposal__error__pb2._ACCOUNTBUDGETPROPOSALERRORENUM_ACCOUNTBUDGETPROPOSALERROR _ERRORCODE.fields_by_name['user_list_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_user__list__error__pb2._USERLISTERRORENUM_USERLISTERROR _ERRORCODE.fields_by_name['change_status_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_change__status__error__pb2._CHANGESTATUSERRORENUM_CHANGESTATUSERROR _ERRORCODE.fields_by_name['feed_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__error__pb2._FEEDERRORENUM_FEEDERROR _ERRORCODE.fields_by_name['geo_target_constant_suggestion_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_geo__target__constant__suggestion__error__pb2._GEOTARGETCONSTANTSUGGESTIONERRORENUM_GEOTARGETCONSTANTSUGGESTIONERROR _ERRORCODE.fields_by_name['campaign_draft_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__draft__error__pb2._CAMPAIGNDRAFTERRORENUM_CAMPAIGNDRAFTERROR _ERRORCODE.fields_by_name['feed_item_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__item__error__pb2._FEEDITEMERRORENUM_FEEDITEMERROR _ERRORCODE.fields_by_name['label_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_label__error__pb2._LABELERRORENUM_LABELERROR _ERRORCODE.fields_by_name['billing_setup_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_billing__setup__error__pb2._BILLINGSETUPERRORENUM_BILLINGSETUPERROR _ERRORCODE.fields_by_name['customer_client_link_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__client__link__error__pb2._CUSTOMERCLIENTLINKERRORENUM_CUSTOMERCLIENTLINKERROR _ERRORCODE.fields_by_name['customer_manager_link_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__manager__link__error__pb2._CUSTOMERMANAGERLINKERRORENUM_CUSTOMERMANAGERLINKERROR _ERRORCODE.fields_by_name['feed_mapping_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__mapping__error__pb2._FEEDMAPPINGERRORENUM_FEEDMAPPINGERROR _ERRORCODE.fields_by_name['customer_feed_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_customer__feed__error__pb2._CUSTOMERFEEDERRORENUM_CUSTOMERFEEDERROR _ERRORCODE.fields_by_name['ad_group_feed_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__group__feed__error__pb2._ADGROUPFEEDERRORENUM_ADGROUPFEEDERROR _ERRORCODE.fields_by_name['campaign_feed_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__feed__error__pb2._CAMPAIGNFEEDERRORENUM_CAMPAIGNFEEDERROR _ERRORCODE.fields_by_name['custom_interest_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_custom__interest__error__pb2._CUSTOMINTERESTERRORENUM_CUSTOMINTERESTERROR _ERRORCODE.fields_by_name['campaign_experiment_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_campaign__experiment__error__pb2._CAMPAIGNEXPERIMENTERRORENUM_CAMPAIGNEXPERIMENTERROR _ERRORCODE.fields_by_name['extension_feed_item_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_extension__feed__item__error__pb2._EXTENSIONFEEDITEMERRORENUM_EXTENSIONFEEDITEMERROR _ERRORCODE.fields_by_name['ad_parameter_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_ad__parameter__error__pb2._ADPARAMETERERRORENUM_ADPARAMETERERROR _ERRORCODE.fields_by_name['feed_item_validation_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__item__validation__error__pb2._FEEDITEMVALIDATIONERRORENUM_FEEDITEMVALIDATIONERROR _ERRORCODE.fields_by_name['extension_setting_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_extension__setting__error__pb2._EXTENSIONSETTINGERRORENUM_EXTENSIONSETTINGERROR _ERRORCODE.fields_by_name['feed_item_target_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_feed__item__target__error__pb2._FEEDITEMTARGETERRORENUM_FEEDITEMTARGETERROR _ERRORCODE.fields_by_name['policy_violation_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_policy__violation__error__pb2._POLICYVIOLATIONERRORENUM_POLICYVIOLATIONERROR _ERRORCODE.fields_by_name['mutate_job_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_mutate__job__error__pb2._MUTATEJOBERRORENUM_MUTATEJOBERROR _ERRORCODE.fields_by_name['partial_failure_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_partial__failure__error__pb2._PARTIALFAILUREERRORENUM_PARTIALFAILUREERROR _ERRORCODE.fields_by_name['policy_validation_parameter_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_policy__validation__parameter__error__pb2._POLICYVALIDATIONPARAMETERERRORENUM_POLICYVALIDATIONPARAMETERERROR _ERRORCODE.fields_by_name['size_limit_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_size__limit__error__pb2._SIZELIMITERRORENUM_SIZELIMITERROR _ERRORCODE.fields_by_name['offline_user_data_job_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_offline__user__data__job__error__pb2._OFFLINEUSERDATAJOBERRORENUM_OFFLINEUSERDATAJOBERROR _ERRORCODE.fields_by_name['not_whitelisted_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_not__whitelisted__error__pb2._NOTWHITELISTEDERRORENUM_NOTWHITELISTEDERROR _ERRORCODE.fields_by_name['manager_link_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_manager__link__error__pb2._MANAGERLINKERRORENUM_MANAGERLINKERROR _ERRORCODE.fields_by_name['currency_code_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_currency__code__error__pb2._CURRENCYCODEERRORENUM_CURRENCYCODEERROR _ERRORCODE.fields_by_name['access_invitation_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_access__invitation__error__pb2._ACCESSINVITATIONERRORENUM_ACCESSINVITATIONERROR _ERRORCODE.fields_by_name['reach_plan_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_reach__plan__error__pb2._REACHPLANERRORENUM_REACHPLANERROR _ERRORCODE.fields_by_name['invoice_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_invoice__error__pb2._INVOICEERRORENUM_INVOICEERROR _ERRORCODE.fields_by_name['payments_account_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_payments__account__error__pb2._PAYMENTSACCOUNTERRORENUM_PAYMENTSACCOUNTERROR _ERRORCODE.fields_by_name['time_zone_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_time__zone__error__pb2._TIMEZONEERRORENUM_TIMEZONEERROR _ERRORCODE.fields_by_name['asset_link_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_asset__link__error__pb2._ASSETLINKERRORENUM_ASSETLINKERROR _ERRORCODE.fields_by_name['user_data_error'].enum_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_errors_dot_user__data__error__pb2._USERDATAERRORENUM_USERDATAERROR _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['request_error']) _ERRORCODE.fields_by_name['request_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['bidding_strategy_error']) _ERRORCODE.fields_by_name['bidding_strategy_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['url_field_error']) _ERRORCODE.fields_by_name['url_field_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['list_operation_error']) _ERRORCODE.fields_by_name['list_operation_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['query_error']) _ERRORCODE.fields_by_name['query_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['mutate_error']) _ERRORCODE.fields_by_name['mutate_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['field_mask_error']) _ERRORCODE.fields_by_name['field_mask_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['authorization_error']) _ERRORCODE.fields_by_name['authorization_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['internal_error']) _ERRORCODE.fields_by_name['internal_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['quota_error']) _ERRORCODE.fields_by_name['quota_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_error']) _ERRORCODE.fields_by_name['ad_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_group_error']) _ERRORCODE.fields_by_name['ad_group_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_budget_error']) _ERRORCODE.fields_by_name['campaign_budget_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_error']) _ERRORCODE.fields_by_name['campaign_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['authentication_error']) _ERRORCODE.fields_by_name['authentication_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_group_criterion_error']) _ERRORCODE.fields_by_name['ad_group_criterion_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_customizer_error']) _ERRORCODE.fields_by_name['ad_customizer_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_group_ad_error']) _ERRORCODE.fields_by_name['ad_group_ad_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_sharing_error']) _ERRORCODE.fields_by_name['ad_sharing_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['adx_error']) _ERRORCODE.fields_by_name['adx_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['asset_error']) _ERRORCODE.fields_by_name['asset_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['bidding_error']) _ERRORCODE.fields_by_name['bidding_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_criterion_error']) _ERRORCODE.fields_by_name['campaign_criterion_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['collection_size_error']) _ERRORCODE.fields_by_name['collection_size_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['country_code_error']) _ERRORCODE.fields_by_name['country_code_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['criterion_error']) _ERRORCODE.fields_by_name['criterion_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['customer_error']) _ERRORCODE.fields_by_name['customer_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['date_error']) _ERRORCODE.fields_by_name['date_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['date_range_error']) _ERRORCODE.fields_by_name['date_range_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['distinct_error']) _ERRORCODE.fields_by_name['distinct_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['feed_attribute_reference_error']) _ERRORCODE.fields_by_name['feed_attribute_reference_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['function_error']) _ERRORCODE.fields_by_name['function_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['function_parsing_error']) _ERRORCODE.fields_by_name['function_parsing_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['id_error']) _ERRORCODE.fields_by_name['id_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['image_error']) _ERRORCODE.fields_by_name['image_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['language_code_error']) _ERRORCODE.fields_by_name['language_code_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['media_bundle_error']) _ERRORCODE.fields_by_name['media_bundle_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['media_upload_error']) _ERRORCODE.fields_by_name['media_upload_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['media_file_error']) _ERRORCODE.fields_by_name['media_file_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['multiplier_error']) _ERRORCODE.fields_by_name['multiplier_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['new_resource_creation_error']) _ERRORCODE.fields_by_name['new_resource_creation_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['not_empty_error']) _ERRORCODE.fields_by_name['not_empty_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['null_error']) _ERRORCODE.fields_by_name['null_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['operator_error']) _ERRORCODE.fields_by_name['operator_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['range_error']) _ERRORCODE.fields_by_name['range_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['recommendation_error']) _ERRORCODE.fields_by_name['recommendation_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['region_code_error']) _ERRORCODE.fields_by_name['region_code_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['setting_error']) _ERRORCODE.fields_by_name['setting_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['string_format_error']) _ERRORCODE.fields_by_name['string_format_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['string_length_error']) _ERRORCODE.fields_by_name['string_length_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['operation_access_denied_error']) _ERRORCODE.fields_by_name['operation_access_denied_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['resource_access_denied_error']) _ERRORCODE.fields_by_name['resource_access_denied_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['resource_count_limit_exceeded_error']) _ERRORCODE.fields_by_name['resource_count_limit_exceeded_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['youtube_video_registration_error']) _ERRORCODE.fields_by_name['youtube_video_registration_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_group_bid_modifier_error']) _ERRORCODE.fields_by_name['ad_group_bid_modifier_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['context_error']) _ERRORCODE.fields_by_name['context_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['field_error']) _ERRORCODE.fields_by_name['field_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['shared_set_error']) _ERRORCODE.fields_by_name['shared_set_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['shared_criterion_error']) _ERRORCODE.fields_by_name['shared_criterion_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_shared_set_error']) _ERRORCODE.fields_by_name['campaign_shared_set_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['conversion_action_error']) _ERRORCODE.fields_by_name['conversion_action_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['conversion_adjustment_upload_error']) _ERRORCODE.fields_by_name['conversion_adjustment_upload_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['conversion_upload_error']) _ERRORCODE.fields_by_name['conversion_upload_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['header_error']) _ERRORCODE.fields_by_name['header_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['database_error']) _ERRORCODE.fields_by_name['database_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['policy_finding_error']) _ERRORCODE.fields_by_name['policy_finding_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['enum_error']) _ERRORCODE.fields_by_name['enum_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['keyword_plan_error']) _ERRORCODE.fields_by_name['keyword_plan_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['keyword_plan_campaign_error']) _ERRORCODE.fields_by_name['keyword_plan_campaign_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['keyword_plan_negative_keyword_error']) _ERRORCODE.fields_by_name['keyword_plan_negative_keyword_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['keyword_plan_ad_group_error']) _ERRORCODE.fields_by_name['keyword_plan_ad_group_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['keyword_plan_keyword_error']) _ERRORCODE.fields_by_name['keyword_plan_keyword_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['keyword_plan_idea_error']) _ERRORCODE.fields_by_name['keyword_plan_idea_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['account_budget_proposal_error']) _ERRORCODE.fields_by_name['account_budget_proposal_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['user_list_error']) _ERRORCODE.fields_by_name['user_list_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['change_status_error']) _ERRORCODE.fields_by_name['change_status_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['feed_error']) _ERRORCODE.fields_by_name['feed_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['geo_target_constant_suggestion_error']) _ERRORCODE.fields_by_name['geo_target_constant_suggestion_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_draft_error']) _ERRORCODE.fields_by_name['campaign_draft_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['feed_item_error']) _ERRORCODE.fields_by_name['feed_item_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['label_error']) _ERRORCODE.fields_by_name['label_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['billing_setup_error']) _ERRORCODE.fields_by_name['billing_setup_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['customer_client_link_error']) _ERRORCODE.fields_by_name['customer_client_link_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['customer_manager_link_error']) _ERRORCODE.fields_by_name['customer_manager_link_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['feed_mapping_error']) _ERRORCODE.fields_by_name['feed_mapping_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['customer_feed_error']) _ERRORCODE.fields_by_name['customer_feed_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_group_feed_error']) _ERRORCODE.fields_by_name['ad_group_feed_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_feed_error']) _ERRORCODE.fields_by_name['campaign_feed_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['custom_interest_error']) _ERRORCODE.fields_by_name['custom_interest_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['campaign_experiment_error']) _ERRORCODE.fields_by_name['campaign_experiment_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['extension_feed_item_error']) _ERRORCODE.fields_by_name['extension_feed_item_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['ad_parameter_error']) _ERRORCODE.fields_by_name['ad_parameter_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['feed_item_validation_error']) _ERRORCODE.fields_by_name['feed_item_validation_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['extension_setting_error']) _ERRORCODE.fields_by_name['extension_setting_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['feed_item_target_error']) _ERRORCODE.fields_by_name['feed_item_target_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['policy_violation_error']) _ERRORCODE.fields_by_name['policy_violation_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['mutate_job_error']) _ERRORCODE.fields_by_name['mutate_job_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['partial_failure_error']) _ERRORCODE.fields_by_name['partial_failure_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['policy_validation_parameter_error']) _ERRORCODE.fields_by_name['policy_validation_parameter_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['size_limit_error']) _ERRORCODE.fields_by_name['size_limit_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['offline_user_data_job_error']) _ERRORCODE.fields_by_name['offline_user_data_job_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['not_whitelisted_error']) _ERRORCODE.fields_by_name['not_whitelisted_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['manager_link_error']) _ERRORCODE.fields_by_name['manager_link_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['currency_code_error']) _ERRORCODE.fields_by_name['currency_code_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['access_invitation_error']) _ERRORCODE.fields_by_name['access_invitation_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['reach_plan_error']) _ERRORCODE.fields_by_name['reach_plan_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['invoice_error']) _ERRORCODE.fields_by_name['invoice_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['payments_account_error']) _ERRORCODE.fields_by_name['payments_account_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['time_zone_error']) _ERRORCODE.fields_by_name['time_zone_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['asset_link_error']) _ERRORCODE.fields_by_name['asset_link_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORCODE.oneofs_by_name['error_code'].fields.append( _ERRORCODE.fields_by_name['user_data_error']) _ERRORCODE.fields_by_name['user_data_error'].containing_oneof = _ERRORCODE.oneofs_by_name['error_code'] _ERRORLOCATION_FIELDPATHELEMENT.fields_by_name['index'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE _ERRORLOCATION_FIELDPATHELEMENT.containing_type = _ERRORLOCATION _ERRORLOCATION.fields_by_name['field_path_elements'].message_type = _ERRORLOCATION_FIELDPATHELEMENT _ERRORDETAILS.fields_by_name['policy_violation_details'].message_type = _POLICYVIOLATIONDETAILS _ERRORDETAILS.fields_by_name['policy_finding_details'].message_type = _POLICYFINDINGDETAILS _POLICYVIOLATIONDETAILS.fields_by_name['key'].message_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_common_dot_policy__pb2._POLICYVIOLATIONKEY _POLICYFINDINGDETAILS.fields_by_name['policy_topic_entries'].message_type = google_dot_ads_dot_googleads__v3_dot_proto_dot_common_dot_policy__pb2._POLICYTOPICENTRY DESCRIPTOR.message_types_by_name['GoogleAdsFailure'] = _GOOGLEADSFAILURE DESCRIPTOR.message_types_by_name['GoogleAdsError'] = _GOOGLEADSERROR DESCRIPTOR.message_types_by_name['ErrorCode'] = _ERRORCODE DESCRIPTOR.message_types_by_name['ErrorLocation'] = _ERRORLOCATION DESCRIPTOR.message_types_by_name['ErrorDetails'] = _ERRORDETAILS DESCRIPTOR.message_types_by_name['PolicyViolationDetails'] = _POLICYVIOLATIONDETAILS DESCRIPTOR.message_types_by_name['PolicyFindingDetails'] = _POLICYFINDINGDETAILS _sym_db.RegisterFileDescriptor(DESCRIPTOR) GoogleAdsFailure = _reflection.GeneratedProtocolMessageType('GoogleAdsFailure', (_message.Message,), dict( DESCRIPTOR = _GOOGLEADSFAILURE, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """Describes how a GoogleAds API call failed. It's returned inside google.rpc.Status.details when a call fails. Attributes: errors: The list of errors that occurred. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.GoogleAdsFailure) )) _sym_db.RegisterMessage(GoogleAdsFailure) GoogleAdsError = _reflection.GeneratedProtocolMessageType('GoogleAdsError', (_message.Message,), dict( DESCRIPTOR = _GOOGLEADSERROR, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """GoogleAds-specific error. Attributes: error_code: An enum value that indicates which error occurred. message: A human-readable description of the error. trigger: The value that triggered the error. location: Describes the part of the request proto that caused the error. details: Additional error details, which are returned by certain error codes. Most error codes do not include details. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.GoogleAdsError) )) _sym_db.RegisterMessage(GoogleAdsError) ErrorCode = _reflection.GeneratedProtocolMessageType('ErrorCode', (_message.Message,), dict( DESCRIPTOR = _ERRORCODE, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """The error reason represented by type and enum. Attributes: error_code: The list of error enums request_error: An error caused by the request bidding_strategy_error: An error with a Bidding Strategy mutate. url_field_error: An error with a URL field mutate. list_operation_error: An error with a list operation. query_error: An error with an AWQL query mutate_error: An error with a mutate field_mask_error: An error with a field mask authorization_error: An error encountered when trying to authorize a user. internal_error: An unexpected server-side error. quota_error: An error with the amonut of quota remaining. ad_error: An error with an Ad Group Ad mutate. ad_group_error: An error with an Ad Group mutate. campaign_budget_error: An error with a Campaign Budget mutate. campaign_error: An error with a Campaign mutate. authentication_error: Indicates failure to properly authenticate user. ad_group_criterion_error: Indicates failure to properly authenticate user. ad_customizer_error: The reasons for the ad customizer error ad_group_ad_error: The reasons for the ad group ad error ad_sharing_error: The reasons for the ad sharing error adx_error: The reasons for the adx error asset_error: The reasons for the asset error bidding_error: The reasons for the bidding errors campaign_criterion_error: The reasons for the campaign criterion error collection_size_error: The reasons for the collection size error country_code_error: The reasons for the country code error criterion_error: The reasons for the criterion error customer_error: The reasons for the customer error date_error: The reasons for the date error date_range_error: The reasons for the date range error distinct_error: The reasons for the distinct error feed_attribute_reference_error: The reasons for the feed attribute reference error function_error: The reasons for the function error function_parsing_error: The reasons for the function parsing error id_error: The reasons for the id error image_error: The reasons for the image error language_code_error: The reasons for the language code error media_bundle_error: The reasons for the media bundle error media_upload_error: The reasons for media uploading errors. media_file_error: The reasons for the media file error multiplier_error: The reasons for the multiplier error new_resource_creation_error: The reasons for the new resource creation error not_empty_error: The reasons for the not empty error null_error: The reasons for the null error operator_error: The reasons for the operator error range_error: The reasons for the range error recommendation_error: The reasons for error in applying a recommendation region_code_error: The reasons for the region code error setting_error: The reasons for the setting error string_format_error: The reasons for the string format error string_length_error: The reasons for the string length error operation_access_denied_error: The reasons for the operation access denied error resource_access_denied_error: The reasons for the resource access denied error resource_count_limit_exceeded_error: The reasons for the resource count limit exceeded error youtube_video_registration_error: The reasons for YouTube video registration errors. ad_group_bid_modifier_error: The reasons for the ad group bid modifier error context_error: The reasons for the context error field_error: The reasons for the field error shared_set_error: The reasons for the shared set error shared_criterion_error: The reasons for the shared criterion error campaign_shared_set_error: The reasons for the campaign shared set error conversion_action_error: The reasons for the conversion action error conversion_adjustment_upload_error: The reasons for the conversion adjustment upload error conversion_upload_error: The reasons for the conversion upload error header_error: The reasons for the header error. database_error: The reasons for the database error. policy_finding_error: The reasons for the policy finding error. enum_error: The reason for enum error. keyword_plan_error: The reason for keyword plan error. keyword_plan_campaign_error: The reason for keyword plan campaign error. keyword_plan_negative_keyword_error: The reason for keyword plan negative keyword error. keyword_plan_ad_group_error: The reason for keyword plan ad group error. keyword_plan_keyword_error: The reason for keyword plan keyword error. keyword_plan_idea_error: The reason for keyword idea error. account_budget_proposal_error: The reasons for account budget proposal errors. user_list_error: The reasons for the user list error change_status_error: The reasons for the change status error feed_error: The reasons for the feed error geo_target_constant_suggestion_error: The reasons for the geo target constant suggestion error. campaign_draft_error: The reasons for the campaign draft error feed_item_error: The reasons for the feed item error label_error: The reason for the label error. billing_setup_error: The reasons for the billing setup error customer_client_link_error: The reasons for the customer client link error customer_manager_link_error: The reasons for the customer manager link error feed_mapping_error: The reasons for the feed mapping error customer_feed_error: The reasons for the customer feed error ad_group_feed_error: The reasons for the ad group feed error campaign_feed_error: The reasons for the campaign feed error custom_interest_error: The reasons for the custom interest error campaign_experiment_error: The reasons for the campaign experiment error extension_feed_item_error: The reasons for the extension feed item error ad_parameter_error: The reasons for the ad parameter error feed_item_validation_error: The reasons for the feed item validation error extension_setting_error: The reasons for the extension setting error feed_item_target_error: The reasons for the feed item target error policy_violation_error: The reasons for the policy violation error mutate_job_error: The reasons for the mutate job error partial_failure_error: The reasons for the mutate job error policy_validation_parameter_error: The reasons for the policy validation parameter error size_limit_error: The reasons for the size limit error offline_user_data_job_error: The reasons for the offline user data job error. not_whitelisted_error: The reasons for the not whitelisted error manager_link_error: The reasons for the manager link error currency_code_error: The reasons for the currency code error access_invitation_error: The reasons for the access invitation error reach_plan_error: The reasons for the reach plan error invoice_error: The reasons for the invoice error payments_account_error: The reasons for errors in payments accounts service time_zone_error: The reasons for the time zone error asset_link_error: The reasons for the asset link error user_data_error: The reasons for the user data error. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.ErrorCode) )) _sym_db.RegisterMessage(ErrorCode) ErrorLocation = _reflection.GeneratedProtocolMessageType('ErrorLocation', (_message.Message,), dict( FieldPathElement = _reflection.GeneratedProtocolMessageType('FieldPathElement', (_message.Message,), dict( DESCRIPTOR = _ERRORLOCATION_FIELDPATHELEMENT, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """A part of a field path. Attributes: field_name: The name of a field or a oneof index: If field\_name is a repeated field, this is the element that failed """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.ErrorLocation.FieldPathElement) )) , DESCRIPTOR = _ERRORLOCATION, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """Describes the part of the request proto that caused the error. Attributes: field_path_elements: A field path that indicates which field was invalid in the request. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.ErrorLocation) )) _sym_db.RegisterMessage(ErrorLocation) _sym_db.RegisterMessage(ErrorLocation.FieldPathElement) ErrorDetails = _reflection.GeneratedProtocolMessageType('ErrorDetails', (_message.Message,), dict( DESCRIPTOR = _ERRORDETAILS, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """Additional error details. Attributes: unpublished_error_code: The error code that should have been returned, but wasn't. This is used when the error code is InternalError.ERROR\_CODE\_NOT\_PUBLISHED. policy_violation_details: Describes an ad policy violation. policy_finding_details: Describes policy violation findings. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.ErrorDetails) )) _sym_db.RegisterMessage(ErrorDetails) PolicyViolationDetails = _reflection.GeneratedProtocolMessageType('PolicyViolationDetails', (_message.Message,), dict( DESCRIPTOR = _POLICYVIOLATIONDETAILS, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """Error returned as part of a mutate response. This error indicates single policy violation by some text in one of the fields. Attributes: external_policy_description: Human readable description of policy violation. key: Unique identifier for this violation. If policy is exemptible, this key may be used to request exemption. external_policy_name: Human readable name of the policy. is_exemptible: Whether user can file an exemption request for this violation. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.PolicyViolationDetails) )) _sym_db.RegisterMessage(PolicyViolationDetails) PolicyFindingDetails = _reflection.GeneratedProtocolMessageType('PolicyFindingDetails', (_message.Message,), dict( DESCRIPTOR = _POLICYFINDINGDETAILS, __module__ = 'google.ads.googleads_v3.proto.errors.errors_pb2' , __doc__ = """Error returned as part of a mutate response. This error indicates one or more policy findings in the fields of a resource. Attributes: policy_topic_entries: The list of policy topics for the resource. Contains the PROHIBITED or FULLY\_LIMITED policy topic entries that prevented the resource from being saved (among any other entries the resource may also have). """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.errors.PolicyFindingDetails) )) _sym_db.RegisterMessage(PolicyFindingDetails) DESCRIPTOR._options = None # @@protoc_insertion_point(module_scope)

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0.751843

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0.031037

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82.38921

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0.461997

1

0.066567

0.302097

0.202379

0

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c764846d2d2ac5223bc2f83a18fa911e797677da

43,546

py

Python

layint_runtime_api/apis/image_api.py

LayeredInsight/layint_runtime_api_python

0e24f2cc5bf342505d6ec9af19323819b1a70d4d

[ "Apache-2.0" ]

1

2018-03-26T23:54:59.000Z

layint_runtime_api/apis/image_api.py

LayeredInsight/layint_runtime_api_python

0e24f2cc5bf342505d6ec9af19323819b1a70d4d

[ "Apache-2.0" ]

null

layint_runtime_api/apis/image_api.py

LayeredInsight/layint_runtime_api_python

0e24f2cc5bf342505d6ec9af19323819b1a70d4d

[ "Apache-2.0" ]

null

# coding: utf-8 """ Layered Witness & Control LI Witness provides deep insight and analytics into containerized applications. Control provides dynamic runtime security and analytics for containerized applications. You can find out more about the Layered Insight Suite at [http://layeredinsight.com](http://layeredinsight.com). OpenAPI spec version: 0.9.7 Contact: help@layeredinsight.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class ImageApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def add_image(self, **kwargs): """ Create new image definition Creates a image object. ID SHOULD NOT be passed when creating a new image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.add_image(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param Image image: :param str instrument_image: Set to \"true\" to instrument image at time of API call :return: Image If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.add_image_with_http_info(**kwargs) else: (data) = self.add_image_with_http_info(**kwargs) return data def add_image_with_http_info(self, **kwargs): """ Create new image definition Creates a image object. ID SHOULD NOT be passed when creating a new image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.add_image_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param Image image: :param str instrument_image: Set to \"true\" to instrument image at time of API call :return: Image If the method is called asynchronously, returns the request thread. """ all_params = ['image', 'instrument_image'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method add_image" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'instrument_image' in params: query_params.append(('InstrumentImage', params['instrument_image'])) header_params = {} form_params = [] local_var_files = {} body_params = None if 'image' in params: body_params = params['image'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Image', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def assign_configuration_to_image(self, image_id, config_id, **kwargs): """ Assign configuration to image Assigns the specified configuration to the specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.assign_configuration_to_image(image_id, config_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to instrument (required) :param str config_id: hexadecimal ID of configuration to assign to image (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.assign_configuration_to_image_with_http_info(image_id, config_id, **kwargs) else: (data) = self.assign_configuration_to_image_with_http_info(image_id, config_id, **kwargs) return data def assign_configuration_to_image_with_http_info(self, image_id, config_id, **kwargs): """ Assign configuration to image Assigns the specified configuration to the specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.assign_configuration_to_image_with_http_info(image_id, config_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to instrument (required) :param str config_id: hexadecimal ID of configuration to assign to image (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['image_id', 'config_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method assign_configuration_to_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `assign_configuration_to_image`") # verify the required parameter 'config_id' is set if ('config_id' not in params) or (params['config_id'] is None): raise ValueError("Missing the required parameter `config_id` when calling `assign_configuration_to_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] if 'config_id' in params: path_params['configID'] = params['config_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}/Configs/{configID}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def assign_policy_to_image(self, image_id, policy_id, **kwargs): """ Assign security policy to image Assigns the specified security policy to the specified image. Running containers will update to the new policy within one minute. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.assign_policy_to_image(image_id, policy_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to instrument (required) :param str policy_id: hexadecimal ID of policy to assign to image (required) :return: Image If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.assign_policy_to_image_with_http_info(image_id, policy_id, **kwargs) else: (data) = self.assign_policy_to_image_with_http_info(image_id, policy_id, **kwargs) return data def assign_policy_to_image_with_http_info(self, image_id, policy_id, **kwargs): """ Assign security policy to image Assigns the specified security policy to the specified image. Running containers will update to the new policy within one minute. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.assign_policy_to_image_with_http_info(image_id, policy_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to instrument (required) :param str policy_id: hexadecimal ID of policy to assign to image (required) :return: Image If the method is called asynchronously, returns the request thread. """ all_params = ['image_id', 'policy_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method assign_policy_to_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `assign_policy_to_image`") # verify the required parameter 'policy_id' is set if ('policy_id' not in params) or (params['policy_id'] is None): raise ValueError("Missing the required parameter `policy_id` when calling `assign_policy_to_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] if 'policy_id' in params: path_params['policyID'] = params['policy_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}/Policies/{policyID}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Image', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_image(self, image_id, **kwargs): """ Delete specified image Deletes the specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_image(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to delete (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_image_with_http_info(image_id, **kwargs) else: (data) = self.delete_image_with_http_info(image_id, **kwargs) return data def delete_image_with_http_info(self, image_id, **kwargs): """ Delete specified image Deletes the specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_image_with_http_info(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to delete (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['image_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `delete_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_image(self, image_id, **kwargs): """ Get specified container image Returns details about specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_image(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to get (required) :return: Image If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_image_with_http_info(image_id, **kwargs) else: (data) = self.get_image_with_http_info(image_id, **kwargs) return data def get_image_with_http_info(self, image_id, **kwargs): """ Get specified container image Returns details about specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_image_with_http_info(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to get (required) :return: Image If the method is called asynchronously, returns the request thread. """ all_params = ['image_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `get_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Image', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_images(self, **kwargs): """ Get defined container images Returns a list of defined images that are accessible to this user. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_images(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: Images If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_images_with_http_info(**kwargs) else: (data) = self.get_images_with_http_info(**kwargs) return data def get_images_with_http_info(self, **kwargs): """ Get defined container images Returns a list of defined images that are accessible to this user. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_images_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: Images If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_images" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Images', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def instrument_image(self, image_id, **kwargs): """ Request instrumentation of specified container image Lists containers that are running specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.instrument_image(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to instrument (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.instrument_image_with_http_info(image_id, **kwargs) else: (data) = self.instrument_image_with_http_info(image_id, **kwargs) return data def instrument_image_with_http_info(self, image_id, **kwargs): """ Request instrumentation of specified container image Lists containers that are running specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.instrument_image_with_http_info(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to instrument (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['image_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method instrument_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `instrument_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}/Instrument', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def number_of_instrumented_images(self, **kwargs): """ Returns number of instrumented images Returns number of instrumented images belonging to a user's group This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.number_of_instrumented_images(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: InlineResponse200 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.number_of_instrumented_images_with_http_info(**kwargs) else: (data) = self.number_of_instrumented_images_with_http_info(**kwargs) return data def number_of_instrumented_images_with_http_info(self, **kwargs): """ Returns number of instrumented images Returns number of instrumented images belonging to a user's group This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.number_of_instrumented_images_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: InlineResponse200 If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method number_of_instrumented_images" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/NumberOfInstrumentedImages', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse200', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def show_container_running_image(self, image_id, **kwargs): """ Get specified container image Lists containers that are running specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.show_container_running_image(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to get containers for (required) :return: Container If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.show_container_running_image_with_http_info(image_id, **kwargs) else: (data) = self.show_container_running_image_with_http_info(image_id, **kwargs) return data def show_container_running_image_with_http_info(self, image_id, **kwargs): """ Get specified container image Lists containers that are running specified image. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.show_container_running_image_with_http_info(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to get containers for (required) :return: Container If the method is called asynchronously, returns the request thread. """ all_params = ['image_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method show_container_running_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `show_container_running_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}/Containers', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Container', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_image(self, image_id, **kwargs): """ Update image definition Updates an existing image object. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.update_image(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to get (required) :param Image image: :return: Image If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.update_image_with_http_info(image_id, **kwargs) else: (data) = self.update_image_with_http_info(image_id, **kwargs) return data def update_image_with_http_info(self, image_id, **kwargs): """ Update image definition Updates an existing image object. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.update_image_with_http_info(image_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str image_id: hexadecimal ID of image to get (required) :param Image image: :return: Image If the method is called asynchronously, returns the request thread. """ all_params = ['image_id', 'image'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'image_id' is set if ('image_id' not in params) or (params['image_id'] is None): raise ValueError("Missing the required parameter `image_id` when calling `update_image`") collection_formats = {} path_params = {} if 'image_id' in params: path_params['imageID'] = params['image_id'] query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'image' in params: body_params = params['image'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['ApiKey'] return self.api_client.call_api('/Images/{imageID}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Image', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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py

Python

pysdb3/models.py

ondrolexa/pysdb

965af226eb10f1b93f2437b201e1fcb5af3fa900

[ "MIT" ]

1

2018-05-01T20:02:39.000Z

pysdb3/models.py

ondrolexa/pysdb

965af226eb10f1b93f2437b201e1fcb5af3fa900

[ "MIT" ]

null

pysdb3/models.py

ondrolexa/pysdb

965af226eb10f1b93f2437b201e1fcb5af3fa900

[ "MIT" ]

2

2018-02-16T20:09:37.000Z

2020-09-30T19:18:46.000Z

from PyQt5 import QtCore, QtGui, QtWidgets sitecol = {'id': 0, 'name': 1, 'x': 2, 'y': 3, 'desc': 4, 'id_units': 5} datacol = {'id': 0, 'id_sites': 1, 'id_struct': 2, 'azi': 3, 'inc': 4, 'struct': 5, 'desc': 6, 'tags': 7} structurecol = {'id': 0, 'structure': 1, 'planar': 2, 'desc': 3, 'scode': 4, 'gcode': 5} unitcol = {'id': 0, 'name': 1, 'desc': 2} tagcol = {'id': 0, 'name': 1, 'desc': 2, 'check': 3} SCHEMA = '''pragma auto_vacuum=0; pragma default_cache_size=2000; pragma encoding='UTF-8'; pragma page_size=1024; drop table if exists sites; CREATE TABLE sites (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, id_units integer NOT NULL DEFAULT 0, name varchar(16) NOT NULL DEFAULT '', x_coord double DEFAULT NULL, y_coord double DEFAULT NULL, description text); drop table if exists structdata; CREATE TABLE structdata (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, id_sites integer NOT NULL DEFAULT 0, id_structype integer NOT NULL DEFAULT 0, azimuth double NOT NULL DEFAULT 0, inclination double NOT NULL DEFAULT 0, description text); drop table if exists structype; CREATE TABLE structype (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, pos integer NOT NULL DEFAULT 0, structure varchar(16) NOT NULL UNIQUE, description text, structcode integer DEFAULT NULL, groupcode integer DEFAULT NULL, planar integer DEFAULT 1); drop table if exists tagged; CREATE TABLE tagged (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, id_tags integer NOT NULL DEFAULT 0, id_structdata integer NOT NULL DEFAULT 0); drop table if exists tags; CREATE TABLE tags (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, pos integer NOT NULL DEFAULT 0, name varchar(16) NOT NULL UNIQUE, description text); drop table if exists units; CREATE TABLE units (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, pos integer NOT NULL DEFAULT 0, name varchar(60) NOT NULL UNIQUE, description text); drop table if exists attach; CREATE TABLE attach (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, id_structdata_planar integer NOT NULL DEFAULT '0', id_structdata_linear integer NOT NULL DEFAULT '0'); drop table if exists meta; CREATE TABLE meta (id integer NOT NULL PRIMARY KEY AUTOINCREMENT, name varchar(16) NOT NULL UNIQUE, value text);''' DEFDATA = '''INSERT INTO structype VALUES (1, 1,'S', 'Default planar feature', 35, 13, 1); INSERT INTO structype VALUES (2, 2, 'L', 'Default linear feature', 78, 13, 0); INSERT INTO units VALUES (1, 1, 'Default', 'Default unit');''' class SiteModel(QtCore.QAbstractTableModel): # Here we define model to store sites table data def __init__(self, mlist, parent=None): super(SiteModel, self).__init__(parent) # Cache the passed data list as a class member. self._items = mlist # Create lookup dictionaries self.updateIndex() def updateIndex(self): """ Update lookup dictionaries for id and row. """ self.id2row = {} self.row2id = {} for idx,row in enumerate(self._items): self.id2row[row[0]] = idx self.row2id[idx] = row[0] def rowCount(self, index=QtCore.QModelIndex()): """ Returns the number of rows the model holds. """ return len(self._items) def columnCount(self, index=QtCore.QModelIndex()): """ Returns the number of columns the model holds. """ return len(sitecol) def data(self, index, role = QtCore.Qt.DisplayRole): """ Depending on the index and role given, return data. If not returning data, return None (PySide equivalent of QT's "invalid QVariant"). """ if not index.isValid(): return None if not 0 <= index.row() < len(self._items): return None if role == QtCore.Qt.DisplayRole: # The view is asking for the actual data, so, just return the item it's asking for. return self._items[index.row()][index.column()] elif role == QtCore.Qt.ToolTipRole: # The view is asking for tooltip data, so, we just return description. return self._items[index.row()][sitecol['desc']] else: # We don't care about anything else, so make sure to return None. return None def getRow(self, index): """ Returns model row. """ return self._items[index.row()] def updateRow(self, index, datarow): """ Updates model row. """ self._items[index.row()] = datarow self.dataChanged.emit(index, index) # self.emit(QtCore.SIGNAL('dataChanged(QModelIndex,QModelIndex)'), index, index) def appendRow(self, datarow): """ Append model row. """ self.beginInsertRows(QtCore.QModelIndex(), len(self._items), len(self._items)) self._items.append(datarow) self.endInsertRows() self.updateIndex() def removeRow(self, index): """ Remove model row. """ self.beginRemoveRows(QtCore.QModelIndex(), index.row(), index.row()) del self._items[index.row()] self.endRemoveRows() self.updateIndex() def headerData(self, section, orientation, role=QtCore.Qt.DisplayRole): """ Set the headers to be displayed. """ if role != QtCore.Qt.DisplayRole: return None if orientation == QtCore.Qt.Horizontal: if section == sitecol['name']: return 'Site' else: return None return None class StructureModel(QtCore.QAbstractTableModel): # Here we define model to store structures table data def __init__(self, mlist, parent=None): super(StructureModel, self).__init__(parent) # Cache the passed data list as a class member. self._items = mlist # Create lookup dictionaries self.updateIndex() def updateIndex(self): """ Update lookup dictionaries for id and row. """ self.id2row = {} self.row2id = {} for idx,row in enumerate(self._items): self.id2row[row[0]] = idx self.row2id[idx] = row[0] def rowCount(self, index=QtCore.QModelIndex()): """ Returns the number of rows the model holds. """ return len(self._items) def columnCount(self, index=QtCore.QModelIndex()): """ Returns the number of columns the model holds. """ return len(structurecol) def data(self, index, role = QtCore.Qt.DisplayRole): """ Depending on the index and role given, return data. If not returning data, return None (PySide equivalent of QT's "invalid QVariant"). """ if not index.isValid(): return None if not 0 <= index.row() < len(self._items): return None if role == QtCore.Qt.DisplayRole: # The view is asking for the actual data, so, just return the item it's asking for. return self._items[index.row()][index.column()] else: # We don't care about anything else, so make sure to return None. return None def getRow(self, index): """ Returns model row. """ return self._items[index.row()] def updateRow(self, index, datarow): """ Updates model row. """ self._items[index.row()] = datarow self.dataChanged.emit(index, index) # self.emit(QtCore.SIGNAL('dataChanged(QModelIndex,QModelIndex)'), index, index) def appendRow(self, datarow, index=None, offset=0): """ Append model row. """ if index is None: pos = len(self._items) else: pos = index.row() + offset self.beginInsertRows(QtCore.QModelIndex(), pos, pos) self._items.insert(pos, datarow) self.endInsertRows() self.updateIndex() def removeRow(self, index): """ Remove model row. """ self.beginRemoveRows(QtCore.QModelIndex(), index.row(), index.row()) del self._items[index.row()] self.endRemoveRows() self.updateIndex() def isplanar(self, row): return self._items[row][structurecol['planar']] == 1 class UnitModel(QtCore.QAbstractTableModel): # Here we define model to store units table data def __init__(self, mlist, parent=None): super(UnitModel, self).__init__(parent) # Cache the passed data list as a class member. self._items = mlist # Create lookup dictionaries self.updateIndex() def updateIndex(self): """ Update lookup dictionaries for id and row. """ self.id2row = {} self.row2id = {} for idx,row in enumerate(self._items): self.id2row[row[0]] = idx self.row2id[idx] = row[0] def rowCount(self, index=QtCore.QModelIndex()): """ Returns the number of rows the model holds. """ return len(self._items) def columnCount(self, index=QtCore.QModelIndex()): """ Returns the number of columns the model holds. """ return len(unitcol) def data(self, index, role = QtCore.Qt.DisplayRole): """ Depending on the index and role given, return data. If not returning data, return None (PySide equivalent of QT's "invalid QVariant"). """ if not index.isValid(): return None if not 0 <= index.row() < len(self._items): return None if role == QtCore.Qt.DisplayRole: # The view is asking for the actual data, so, just return the item it's asking for. return self._items[index.row()][index.column()] else: # We don't care about anything else, so make sure to return None. return None def getRow(self, index): """ Returns model row. """ return self._items[index.row()] def updateRow(self, index, datarow): """ Updates model row. """ self._items[index.row()] = datarow self.dataChanged.emit(index, index) # self.emit(QtCore.SIGNAL('dataChanged(QModelIndex,QModelIndex)'), index, index) def appendRow(self, datarow, index=None, offset=0): """ Append model row. """ if index is None: pos = len(self._items) else: pos = index.row() + offset self.beginInsertRows(QtCore.QModelIndex(), pos, pos) self._items.insert(pos, datarow) self.endInsertRows() self.updateIndex() def removeRow(self, index): """ Remove model row. """ self.beginRemoveRows(QtCore.QModelIndex(), index.row(), index.row()) del self._items[index.row()] self.endRemoveRows() self.updateIndex() class TagModel(QtCore.QAbstractTableModel): # Here we define model to store tags table data def __init__(self, mlist, parent=None): super(TagModel, self).__init__(parent) # Cache the passed data list as a class member. self._items = mlist # Create lookup dictionaries self.updateIndex() def updateIndex(self): """ Update lookup dictionaries for id and row. """ self.id2row = {} self.row2id = {} for idx,row in enumerate(self._items): self.id2row[row[0]] = idx self.row2id[idx] = row[0] def rowCount(self, index=QtCore.QModelIndex()): """ Returns the number of rows the model holds. """ return len(self._items) def columnCount(self, index=QtCore.QModelIndex()): """ Returns the number of columns the model holds. """ return len(tagcol) def data(self, index, role = QtCore.Qt.DisplayRole): """ Depending on the index and role given, return data. If not returning data, return None (PySide equivalent of QT's "invalid QVariant"). """ if not index.isValid(): return None if not 0 <= index.row() < len(self._items): return None if role == QtCore.Qt.CheckStateRole and index.column() == tagcol['check']: # The view is asking for the actual state of checkable item. return self._items[index.row()][index.column()] elif role == QtCore.Qt.FontRole and index.column() == tagcol['check']: # The view is asking for the font properties. font = QtGui.QFont() if self._items[index.row()][index.column()] == QtCore.Qt.Checked: font.setBold(True) else: font.setBold(False) return font elif role == QtCore.Qt.DisplayRole: # The view is asking for the actual data, so, just return the item it's asking for. if index.column() == tagcol['check']: return self._items[index.row()][tagcol['name']] else: return self._items[index.row()][index.column()] else: # We don't care about anything else, so make sure to return None. return None def flags(self, index): if not index.isValid(): return None if index.column() == tagcol['check']: return QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsUserCheckable | QtCore.Qt.ItemIsSelectable else: return QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable def setData(self, index, value, role): if index.isValid() and role == QtCore.Qt.CheckStateRole: if index.column() == tagcol['check']: self._items[index.row()][index.column()] = value self.dataChanged.emit(index, index) return True def getChecked(self): return [row[tagcol['id']] for row in self._items if row[tagcol['check']] == QtCore.Qt.Checked] def cleanState(self): for row in self._items: row[tagcol['check']] = QtCore.Qt.Unchecked def setState(self, ids): for row in self._items: if row[tagcol['id']] in ids: row[tagcol['check']] = QtCore.Qt.Checked else: row[tagcol['check']] = QtCore.Qt.Unchecked def getRow(self, index): """ Returns model row. """ return self._items[index.row()] def updateRow(self, index, datarow): """ Updates model row. """ self._items[index.row()] = datarow self.dataChanged.emit(index, index) # self.emit(QtCore.SIGNAL('dataChanged(QModelIndex,QModelIndex)'), index, index) def appendRow(self, datarow, index=None, offset=0): """ Append model row. """ if index is None: pos = len(self._items) else: pos = index.row() + offset self.beginInsertRows(QtCore.QModelIndex(), pos, pos) self._items.insert(pos, datarow) self.endInsertRows() self.updateIndex() def removeRow(self, index): """ Remove model row. """ self.beginRemoveRows(QtCore.QModelIndex(), index.row(), index.row()) del self._items[index.row()] self.endRemoveRows() self.updateIndex() class DataModel(QtCore.QAbstractTableModel): # Here we define model to store data table def __init__(self, mlist, parent=None): super(DataModel, self).__init__(parent) # Cache the passed data list as a class member. self._items = mlist # Create lookup dictionaries self.updateIndex() def updateIndex(self): """ Update lookup dictionaries for id and row. """ self.id2row = {} self.row2id = {} for idx,row in enumerate(self._items): self.id2row[row[0]] = idx self.row2id[idx] = row[0] def rowCount(self, index=QtCore.QModelIndex()): """ Returns the number of rows the model holds. """ return len(self._items) def columnCount(self, index=QtCore.QModelIndex()): """ Returns the number of columns the model holds. """ return len(datacol) def data(self, index, role = QtCore.Qt.DisplayRole): """ Depending on the index and role given, return data. If not returning data, return None (PySide equivalent of QT's "invalid QVariant"). """ if not index.isValid(): return None if not 0 <= index.row() < len(self._items): return None if role == QtCore.Qt.DisplayRole: # The view is asking for the actual data, so, just return the item it's asking for. return self._items[index.row()][index.column()] elif role == QtCore.Qt.ToolTipRole: # The view is asking for tooltip data, so, we just return description. return self._items[index.row()][datacol['desc']] else: # We don't care about anything else, so make sure to return None. return None def getRow(self, index): """ Returns model row. """ return self._items[index.row()] def headerData(self, section, orientation, role=QtCore.Qt.DisplayRole): """ Set the headers to be displayed. """ if role != QtCore.Qt.DisplayRole: return None if orientation == QtCore.Qt.Horizontal: if section == datacol['azi']: return "Azimuth" elif section == datacol['inc']: return "Inclination" elif section == datacol['struct']: return "Structure" elif section == datacol['tags']: return "Tags" else: return None return None

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py

Python

cemba_data/dmr/dss/__init__.py

jksr/cemba_data

c796c33a2fd262b2ef893df1951a90b8d0ba9289

[ "MIT" ]

4

2018-11-13T21:50:57.000Z

2020-11-25T18:42:57.000Z

cemba_data/dmr/dss/__init__.py

jksr/cemba_data

c796c33a2fd262b2ef893df1951a90b8d0ba9289

[ "MIT" ]

9

2020-10-25T01:58:07.000Z

2021-06-13T19:17:50.000Z

cemba_data/dmr/dss/__init__.py

jksr/cemba_data

c796c33a2fd262b2ef893df1951a90b8d0ba9289

[ "MIT" ]

3

2018-12-29T23:30:25.000Z

2020-10-14T18:00:03.000Z

from .TwoGroup import run_dss_two_group from .MultiGroup import run_dss_multi_group

41.5

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148

py

Python

sprint/tools_fa/__init__.py

jumphone/sprint

94a5e5450d73b357497fba11eef818c6cc8792aa

[ "MIT" ]

44

2018-03-09T22:22:50.000Z

2021-09-15T09:40:54.000Z

sprint/tools_fa/__init__.py

jumphone/sprint

94a5e5450d73b357497fba11eef818c6cc8792aa

[ "MIT" ]

30

2018-03-19T05:30:05.000Z

2022-01-21T06:54:45.000Z

sprint/tools_fa/__init__.py

jumphone/sprint

94a5e5450d73b357497fba11eef818c6cc8792aa

[ "MIT" ]

13

2018-06-30T10:07:02.000Z

2021-06-10T13:25:43.000Z

from maskAwithG import * from maskTwithC import * from transcript_assembler import * from transcript_locator import * from transcript_sort import *

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py

Python

sdk/python/pulumi_openstack/compute/quota_set_v2.py

pulumi/pulumi-openstack

945eed22a82784e9f0b3aa56168b2397c2f503e8

[ "ECL-2.0", "Apache-2.0" ]

34

2018-09-12T12:37:51.000Z

2022-02-04T19:32:13.000Z

sdk/python/pulumi_openstack/compute/quota_set_v2.py

pulumi/pulumi-openstack

945eed22a82784e9f0b3aa56168b2397c2f503e8

[ "ECL-2.0", "Apache-2.0" ]

72

2018-08-15T13:04:57.000Z

2022-03-31T15:39:49.000Z

sdk/python/pulumi_openstack/compute/quota_set_v2.py

pulumi/pulumi-openstack

945eed22a82784e9f0b3aa56168b2397c2f503e8

[ "ECL-2.0", "Apache-2.0" ]

7

2019-03-14T08:28:49.000Z

2021-12-29T04:23:55.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['QuotaSetV2Args', 'QuotaSetV2'] @pulumi.input_type class QuotaSetV2Args: def __init__(__self__, *, project_id: pulumi.Input[str], cores: Optional[pulumi.Input[int]] = None, fixed_ips: Optional[pulumi.Input[int]] = None, floating_ips: Optional[pulumi.Input[int]] = None, injected_file_content_bytes: Optional[pulumi.Input[int]] = None, injected_file_path_bytes: Optional[pulumi.Input[int]] = None, injected_files: Optional[pulumi.Input[int]] = None, instances: Optional[pulumi.Input[int]] = None, key_pairs: Optional[pulumi.Input[int]] = None, metadata_items: Optional[pulumi.Input[int]] = None, ram: Optional[pulumi.Input[int]] = None, region: Optional[pulumi.Input[str]] = None, security_group_rules: Optional[pulumi.Input[int]] = None, security_groups: Optional[pulumi.Input[int]] = None, server_group_members: Optional[pulumi.Input[int]] = None, server_groups: Optional[pulumi.Input[int]] = None): """ The set of arguments for constructing a QuotaSetV2 resource. :param pulumi.Input[str] project_id: ID of the project to manage quotas. Changing this creates a new quotaset. :param pulumi.Input[int] cores: Quota value for cores. Changing this updates the existing quotaset. :param pulumi.Input[int] fixed_ips: Quota value for fixed IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] floating_ips: Quota value for floating IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_content_bytes: Quota value for content bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_path_bytes: Quota value for path bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_files: Quota value for injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] instances: Quota value for instances. Changing this updates the existing quotaset. :param pulumi.Input[int] key_pairs: Quota value for key pairs. Changing this updates the existing quotaset. :param pulumi.Input[int] metadata_items: Quota value for metadata items. Changing this updates the existing quotaset. :param pulumi.Input[int] ram: Quota value for RAM. Changing this updates the existing quotaset. :param pulumi.Input[str] region: The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. :param pulumi.Input[int] security_group_rules: Quota value for security group rules. Changing this updates the existing quotaset. :param pulumi.Input[int] security_groups: Quota value for security groups. Changing this updates the existing quotaset. :param pulumi.Input[int] server_group_members: Quota value for server groups members. Changing this updates the existing quotaset. :param pulumi.Input[int] server_groups: Quota value for server groups. Changing this updates the existing quotaset. """ pulumi.set(__self__, "project_id", project_id) if cores is not None: pulumi.set(__self__, "cores", cores) if fixed_ips is not None: pulumi.set(__self__, "fixed_ips", fixed_ips) if floating_ips is not None: pulumi.set(__self__, "floating_ips", floating_ips) if injected_file_content_bytes is not None: pulumi.set(__self__, "injected_file_content_bytes", injected_file_content_bytes) if injected_file_path_bytes is not None: pulumi.set(__self__, "injected_file_path_bytes", injected_file_path_bytes) if injected_files is not None: pulumi.set(__self__, "injected_files", injected_files) if instances is not None: pulumi.set(__self__, "instances", instances) if key_pairs is not None: pulumi.set(__self__, "key_pairs", key_pairs) if metadata_items is not None: pulumi.set(__self__, "metadata_items", metadata_items) if ram is not None: pulumi.set(__self__, "ram", ram) if region is not None: pulumi.set(__self__, "region", region) if security_group_rules is not None: pulumi.set(__self__, "security_group_rules", security_group_rules) if security_groups is not None: pulumi.set(__self__, "security_groups", security_groups) if server_group_members is not None: pulumi.set(__self__, "server_group_members", server_group_members) if server_groups is not None: pulumi.set(__self__, "server_groups", server_groups) @property @pulumi.getter(name="projectId") def project_id(self) -> pulumi.Input[str]: """ ID of the project to manage quotas. Changing this creates a new quotaset. """ return pulumi.get(self, "project_id") @project_id.setter def project_id(self, value: pulumi.Input[str]): pulumi.set(self, "project_id", value) @property @pulumi.getter def cores(self) -> Optional[pulumi.Input[int]]: """ Quota value for cores. Changing this updates the existing quotaset. """ return pulumi.get(self, "cores") @cores.setter def cores(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cores", value) @property @pulumi.getter(name="fixedIps") def fixed_ips(self) -> Optional[pulumi.Input[int]]: """ Quota value for fixed IPs. Changing this updates the existing quotaset. """ return pulumi.get(self, "fixed_ips") @fixed_ips.setter def fixed_ips(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "fixed_ips", value) @property @pulumi.getter(name="floatingIps") def floating_ips(self) -> Optional[pulumi.Input[int]]: """ Quota value for floating IPs. Changing this updates the existing quotaset. """ return pulumi.get(self, "floating_ips") @floating_ips.setter def floating_ips(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "floating_ips", value) @property @pulumi.getter(name="injectedFileContentBytes") def injected_file_content_bytes(self) -> Optional[pulumi.Input[int]]: """ Quota value for content bytes of injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_file_content_bytes") @injected_file_content_bytes.setter def injected_file_content_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "injected_file_content_bytes", value) @property @pulumi.getter(name="injectedFilePathBytes") def injected_file_path_bytes(self) -> Optional[pulumi.Input[int]]: """ Quota value for path bytes of injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_file_path_bytes") @injected_file_path_bytes.setter def injected_file_path_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "injected_file_path_bytes", value) @property @pulumi.getter(name="injectedFiles") def injected_files(self) -> Optional[pulumi.Input[int]]: """ Quota value for injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_files") @injected_files.setter def injected_files(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "injected_files", value) @property @pulumi.getter def instances(self) -> Optional[pulumi.Input[int]]: """ Quota value for instances. Changing this updates the existing quotaset. """ return pulumi.get(self, "instances") @instances.setter def instances(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "instances", value) @property @pulumi.getter(name="keyPairs") def key_pairs(self) -> Optional[pulumi.Input[int]]: """ Quota value for key pairs. Changing this updates the existing quotaset. """ return pulumi.get(self, "key_pairs") @key_pairs.setter def key_pairs(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "key_pairs", value) @property @pulumi.getter(name="metadataItems") def metadata_items(self) -> Optional[pulumi.Input[int]]: """ Quota value for metadata items. Changing this updates the existing quotaset. """ return pulumi.get(self, "metadata_items") @metadata_items.setter def metadata_items(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "metadata_items", value) @property @pulumi.getter def ram(self) -> Optional[pulumi.Input[int]]: """ Quota value for RAM. Changing this updates the existing quotaset. """ return pulumi.get(self, "ram") @ram.setter def ram(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "ram", value) @property @pulumi.getter def region(self) -> Optional[pulumi.Input[str]]: """ The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. """ return pulumi.get(self, "region") @region.setter def region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "region", value) @property @pulumi.getter(name="securityGroupRules") def security_group_rules(self) -> Optional[pulumi.Input[int]]: """ Quota value for security group rules. Changing this updates the existing quotaset. """ return pulumi.get(self, "security_group_rules") @security_group_rules.setter def security_group_rules(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "security_group_rules", value) @property @pulumi.getter(name="securityGroups") def security_groups(self) -> Optional[pulumi.Input[int]]: """ Quota value for security groups. Changing this updates the existing quotaset. """ return pulumi.get(self, "security_groups") @security_groups.setter def security_groups(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "security_groups", value) @property @pulumi.getter(name="serverGroupMembers") def server_group_members(self) -> Optional[pulumi.Input[int]]: """ Quota value for server groups members. Changing this updates the existing quotaset. """ return pulumi.get(self, "server_group_members") @server_group_members.setter def server_group_members(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "server_group_members", value) @property @pulumi.getter(name="serverGroups") def server_groups(self) -> Optional[pulumi.Input[int]]: """ Quota value for server groups. Changing this updates the existing quotaset. """ return pulumi.get(self, "server_groups") @server_groups.setter def server_groups(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "server_groups", value) @pulumi.input_type class _QuotaSetV2State: def __init__(__self__, *, cores: Optional[pulumi.Input[int]] = None, fixed_ips: Optional[pulumi.Input[int]] = None, floating_ips: Optional[pulumi.Input[int]] = None, injected_file_content_bytes: Optional[pulumi.Input[int]] = None, injected_file_path_bytes: Optional[pulumi.Input[int]] = None, injected_files: Optional[pulumi.Input[int]] = None, instances: Optional[pulumi.Input[int]] = None, key_pairs: Optional[pulumi.Input[int]] = None, metadata_items: Optional[pulumi.Input[int]] = None, project_id: Optional[pulumi.Input[str]] = None, ram: Optional[pulumi.Input[int]] = None, region: Optional[pulumi.Input[str]] = None, security_group_rules: Optional[pulumi.Input[int]] = None, security_groups: Optional[pulumi.Input[int]] = None, server_group_members: Optional[pulumi.Input[int]] = None, server_groups: Optional[pulumi.Input[int]] = None): """ Input properties used for looking up and filtering QuotaSetV2 resources. :param pulumi.Input[int] cores: Quota value for cores. Changing this updates the existing quotaset. :param pulumi.Input[int] fixed_ips: Quota value for fixed IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] floating_ips: Quota value for floating IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_content_bytes: Quota value for content bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_path_bytes: Quota value for path bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_files: Quota value for injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] instances: Quota value for instances. Changing this updates the existing quotaset. :param pulumi.Input[int] key_pairs: Quota value for key pairs. Changing this updates the existing quotaset. :param pulumi.Input[int] metadata_items: Quota value for metadata items. Changing this updates the existing quotaset. :param pulumi.Input[str] project_id: ID of the project to manage quotas. Changing this creates a new quotaset. :param pulumi.Input[int] ram: Quota value for RAM. Changing this updates the existing quotaset. :param pulumi.Input[str] region: The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. :param pulumi.Input[int] security_group_rules: Quota value for security group rules. Changing this updates the existing quotaset. :param pulumi.Input[int] security_groups: Quota value for security groups. Changing this updates the existing quotaset. :param pulumi.Input[int] server_group_members: Quota value for server groups members. Changing this updates the existing quotaset. :param pulumi.Input[int] server_groups: Quota value for server groups. Changing this updates the existing quotaset. """ if cores is not None: pulumi.set(__self__, "cores", cores) if fixed_ips is not None: pulumi.set(__self__, "fixed_ips", fixed_ips) if floating_ips is not None: pulumi.set(__self__, "floating_ips", floating_ips) if injected_file_content_bytes is not None: pulumi.set(__self__, "injected_file_content_bytes", injected_file_content_bytes) if injected_file_path_bytes is not None: pulumi.set(__self__, "injected_file_path_bytes", injected_file_path_bytes) if injected_files is not None: pulumi.set(__self__, "injected_files", injected_files) if instances is not None: pulumi.set(__self__, "instances", instances) if key_pairs is not None: pulumi.set(__self__, "key_pairs", key_pairs) if metadata_items is not None: pulumi.set(__self__, "metadata_items", metadata_items) if project_id is not None: pulumi.set(__self__, "project_id", project_id) if ram is not None: pulumi.set(__self__, "ram", ram) if region is not None: pulumi.set(__self__, "region", region) if security_group_rules is not None: pulumi.set(__self__, "security_group_rules", security_group_rules) if security_groups is not None: pulumi.set(__self__, "security_groups", security_groups) if server_group_members is not None: pulumi.set(__self__, "server_group_members", server_group_members) if server_groups is not None: pulumi.set(__self__, "server_groups", server_groups) @property @pulumi.getter def cores(self) -> Optional[pulumi.Input[int]]: """ Quota value for cores. Changing this updates the existing quotaset. """ return pulumi.get(self, "cores") @cores.setter def cores(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cores", value) @property @pulumi.getter(name="fixedIps") def fixed_ips(self) -> Optional[pulumi.Input[int]]: """ Quota value for fixed IPs. Changing this updates the existing quotaset. """ return pulumi.get(self, "fixed_ips") @fixed_ips.setter def fixed_ips(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "fixed_ips", value) @property @pulumi.getter(name="floatingIps") def floating_ips(self) -> Optional[pulumi.Input[int]]: """ Quota value for floating IPs. Changing this updates the existing quotaset. """ return pulumi.get(self, "floating_ips") @floating_ips.setter def floating_ips(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "floating_ips", value) @property @pulumi.getter(name="injectedFileContentBytes") def injected_file_content_bytes(self) -> Optional[pulumi.Input[int]]: """ Quota value for content bytes of injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_file_content_bytes") @injected_file_content_bytes.setter def injected_file_content_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "injected_file_content_bytes", value) @property @pulumi.getter(name="injectedFilePathBytes") def injected_file_path_bytes(self) -> Optional[pulumi.Input[int]]: """ Quota value for path bytes of injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_file_path_bytes") @injected_file_path_bytes.setter def injected_file_path_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "injected_file_path_bytes", value) @property @pulumi.getter(name="injectedFiles") def injected_files(self) -> Optional[pulumi.Input[int]]: """ Quota value for injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_files") @injected_files.setter def injected_files(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "injected_files", value) @property @pulumi.getter def instances(self) -> Optional[pulumi.Input[int]]: """ Quota value for instances. Changing this updates the existing quotaset. """ return pulumi.get(self, "instances") @instances.setter def instances(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "instances", value) @property @pulumi.getter(name="keyPairs") def key_pairs(self) -> Optional[pulumi.Input[int]]: """ Quota value for key pairs. Changing this updates the existing quotaset. """ return pulumi.get(self, "key_pairs") @key_pairs.setter def key_pairs(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "key_pairs", value) @property @pulumi.getter(name="metadataItems") def metadata_items(self) -> Optional[pulumi.Input[int]]: """ Quota value for metadata items. Changing this updates the existing quotaset. """ return pulumi.get(self, "metadata_items") @metadata_items.setter def metadata_items(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "metadata_items", value) @property @pulumi.getter(name="projectId") def project_id(self) -> Optional[pulumi.Input[str]]: """ ID of the project to manage quotas. Changing this creates a new quotaset. """ return pulumi.get(self, "project_id") @project_id.setter def project_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project_id", value) @property @pulumi.getter def ram(self) -> Optional[pulumi.Input[int]]: """ Quota value for RAM. Changing this updates the existing quotaset. """ return pulumi.get(self, "ram") @ram.setter def ram(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "ram", value) @property @pulumi.getter def region(self) -> Optional[pulumi.Input[str]]: """ The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. """ return pulumi.get(self, "region") @region.setter def region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "region", value) @property @pulumi.getter(name="securityGroupRules") def security_group_rules(self) -> Optional[pulumi.Input[int]]: """ Quota value for security group rules. Changing this updates the existing quotaset. """ return pulumi.get(self, "security_group_rules") @security_group_rules.setter def security_group_rules(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "security_group_rules", value) @property @pulumi.getter(name="securityGroups") def security_groups(self) -> Optional[pulumi.Input[int]]: """ Quota value for security groups. Changing this updates the existing quotaset. """ return pulumi.get(self, "security_groups") @security_groups.setter def security_groups(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "security_groups", value) @property @pulumi.getter(name="serverGroupMembers") def server_group_members(self) -> Optional[pulumi.Input[int]]: """ Quota value for server groups members. Changing this updates the existing quotaset. """ return pulumi.get(self, "server_group_members") @server_group_members.setter def server_group_members(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "server_group_members", value) @property @pulumi.getter(name="serverGroups") def server_groups(self) -> Optional[pulumi.Input[int]]: """ Quota value for server groups. Changing this updates the existing quotaset. """ return pulumi.get(self, "server_groups") @server_groups.setter def server_groups(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "server_groups", value) class QuotaSetV2(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cores: Optional[pulumi.Input[int]] = None, fixed_ips: Optional[pulumi.Input[int]] = None, floating_ips: Optional[pulumi.Input[int]] = None, injected_file_content_bytes: Optional[pulumi.Input[int]] = None, injected_file_path_bytes: Optional[pulumi.Input[int]] = None, injected_files: Optional[pulumi.Input[int]] = None, instances: Optional[pulumi.Input[int]] = None, key_pairs: Optional[pulumi.Input[int]] = None, metadata_items: Optional[pulumi.Input[int]] = None, project_id: Optional[pulumi.Input[str]] = None, ram: Optional[pulumi.Input[int]] = None, region: Optional[pulumi.Input[str]] = None, security_group_rules: Optional[pulumi.Input[int]] = None, security_groups: Optional[pulumi.Input[int]] = None, server_group_members: Optional[pulumi.Input[int]] = None, server_groups: Optional[pulumi.Input[int]] = None, __props__=None): """ Manages a V2 compute quotaset resource within OpenStack. > **Note:** This usually requires admin privileges. > **Note:** This resource has a no-op deletion so no actual actions will be done against the OpenStack API in case of delete call. > **Note:** This resource has all-in creation so all optional quota arguments that were not specified are created with zero value. ## Example Usage ```python import pulumi import pulumi_openstack as openstack project1 = openstack.identity.Project("project1") quotaset1 = openstack.compute.QuotaSetV2("quotaset1", project_id=project1.id, key_pairs=10, ram=40960, cores=32, instances=20, server_groups=4, server_group_members=8) ``` ## Import Quotasets can be imported using the `project_id/region_name`, e.g. ```sh $ pulumi import openstack:compute/quotaSetV2:QuotaSetV2 quotaset_1 2a0f2240-c5e6-41de-896d-e80d97428d6b/region_1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] cores: Quota value for cores. Changing this updates the existing quotaset. :param pulumi.Input[int] fixed_ips: Quota value for fixed IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] floating_ips: Quota value for floating IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_content_bytes: Quota value for content bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_path_bytes: Quota value for path bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_files: Quota value for injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] instances: Quota value for instances. Changing this updates the existing quotaset. :param pulumi.Input[int] key_pairs: Quota value for key pairs. Changing this updates the existing quotaset. :param pulumi.Input[int] metadata_items: Quota value for metadata items. Changing this updates the existing quotaset. :param pulumi.Input[str] project_id: ID of the project to manage quotas. Changing this creates a new quotaset. :param pulumi.Input[int] ram: Quota value for RAM. Changing this updates the existing quotaset. :param pulumi.Input[str] region: The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. :param pulumi.Input[int] security_group_rules: Quota value for security group rules. Changing this updates the existing quotaset. :param pulumi.Input[int] security_groups: Quota value for security groups. Changing this updates the existing quotaset. :param pulumi.Input[int] server_group_members: Quota value for server groups members. Changing this updates the existing quotaset. :param pulumi.Input[int] server_groups: Quota value for server groups. Changing this updates the existing quotaset. """ ... @overload def __init__(__self__, resource_name: str, args: QuotaSetV2Args, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a V2 compute quotaset resource within OpenStack. > **Note:** This usually requires admin privileges. > **Note:** This resource has a no-op deletion so no actual actions will be done against the OpenStack API in case of delete call. > **Note:** This resource has all-in creation so all optional quota arguments that were not specified are created with zero value. ## Example Usage ```python import pulumi import pulumi_openstack as openstack project1 = openstack.identity.Project("project1") quotaset1 = openstack.compute.QuotaSetV2("quotaset1", project_id=project1.id, key_pairs=10, ram=40960, cores=32, instances=20, server_groups=4, server_group_members=8) ``` ## Import Quotasets can be imported using the `project_id/region_name`, e.g. ```sh $ pulumi import openstack:compute/quotaSetV2:QuotaSetV2 quotaset_1 2a0f2240-c5e6-41de-896d-e80d97428d6b/region_1 ``` :param str resource_name: The name of the resource. :param QuotaSetV2Args args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(QuotaSetV2Args, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cores: Optional[pulumi.Input[int]] = None, fixed_ips: Optional[pulumi.Input[int]] = None, floating_ips: Optional[pulumi.Input[int]] = None, injected_file_content_bytes: Optional[pulumi.Input[int]] = None, injected_file_path_bytes: Optional[pulumi.Input[int]] = None, injected_files: Optional[pulumi.Input[int]] = None, instances: Optional[pulumi.Input[int]] = None, key_pairs: Optional[pulumi.Input[int]] = None, metadata_items: Optional[pulumi.Input[int]] = None, project_id: Optional[pulumi.Input[str]] = None, ram: Optional[pulumi.Input[int]] = None, region: Optional[pulumi.Input[str]] = None, security_group_rules: Optional[pulumi.Input[int]] = None, security_groups: Optional[pulumi.Input[int]] = None, server_group_members: Optional[pulumi.Input[int]] = None, server_groups: Optional[pulumi.Input[int]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = QuotaSetV2Args.__new__(QuotaSetV2Args) __props__.__dict__["cores"] = cores __props__.__dict__["fixed_ips"] = fixed_ips __props__.__dict__["floating_ips"] = floating_ips __props__.__dict__["injected_file_content_bytes"] = injected_file_content_bytes __props__.__dict__["injected_file_path_bytes"] = injected_file_path_bytes __props__.__dict__["injected_files"] = injected_files __props__.__dict__["instances"] = instances __props__.__dict__["key_pairs"] = key_pairs __props__.__dict__["metadata_items"] = metadata_items if project_id is None and not opts.urn: raise TypeError("Missing required property 'project_id'") __props__.__dict__["project_id"] = project_id __props__.__dict__["ram"] = ram __props__.__dict__["region"] = region __props__.__dict__["security_group_rules"] = security_group_rules __props__.__dict__["security_groups"] = security_groups __props__.__dict__["server_group_members"] = server_group_members __props__.__dict__["server_groups"] = server_groups super(QuotaSetV2, __self__).__init__( 'openstack:compute/quotaSetV2:QuotaSetV2', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, cores: Optional[pulumi.Input[int]] = None, fixed_ips: Optional[pulumi.Input[int]] = None, floating_ips: Optional[pulumi.Input[int]] = None, injected_file_content_bytes: Optional[pulumi.Input[int]] = None, injected_file_path_bytes: Optional[pulumi.Input[int]] = None, injected_files: Optional[pulumi.Input[int]] = None, instances: Optional[pulumi.Input[int]] = None, key_pairs: Optional[pulumi.Input[int]] = None, metadata_items: Optional[pulumi.Input[int]] = None, project_id: Optional[pulumi.Input[str]] = None, ram: Optional[pulumi.Input[int]] = None, region: Optional[pulumi.Input[str]] = None, security_group_rules: Optional[pulumi.Input[int]] = None, security_groups: Optional[pulumi.Input[int]] = None, server_group_members: Optional[pulumi.Input[int]] = None, server_groups: Optional[pulumi.Input[int]] = None) -> 'QuotaSetV2': """ Get an existing QuotaSetV2 resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] cores: Quota value for cores. Changing this updates the existing quotaset. :param pulumi.Input[int] fixed_ips: Quota value for fixed IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] floating_ips: Quota value for floating IPs. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_content_bytes: Quota value for content bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_file_path_bytes: Quota value for path bytes of injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] injected_files: Quota value for injected files. Changing this updates the existing quotaset. :param pulumi.Input[int] instances: Quota value for instances. Changing this updates the existing quotaset. :param pulumi.Input[int] key_pairs: Quota value for key pairs. Changing this updates the existing quotaset. :param pulumi.Input[int] metadata_items: Quota value for metadata items. Changing this updates the existing quotaset. :param pulumi.Input[str] project_id: ID of the project to manage quotas. Changing this creates a new quotaset. :param pulumi.Input[int] ram: Quota value for RAM. Changing this updates the existing quotaset. :param pulumi.Input[str] region: The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. :param pulumi.Input[int] security_group_rules: Quota value for security group rules. Changing this updates the existing quotaset. :param pulumi.Input[int] security_groups: Quota value for security groups. Changing this updates the existing quotaset. :param pulumi.Input[int] server_group_members: Quota value for server groups members. Changing this updates the existing quotaset. :param pulumi.Input[int] server_groups: Quota value for server groups. Changing this updates the existing quotaset. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _QuotaSetV2State.__new__(_QuotaSetV2State) __props__.__dict__["cores"] = cores __props__.__dict__["fixed_ips"] = fixed_ips __props__.__dict__["floating_ips"] = floating_ips __props__.__dict__["injected_file_content_bytes"] = injected_file_content_bytes __props__.__dict__["injected_file_path_bytes"] = injected_file_path_bytes __props__.__dict__["injected_files"] = injected_files __props__.__dict__["instances"] = instances __props__.__dict__["key_pairs"] = key_pairs __props__.__dict__["metadata_items"] = metadata_items __props__.__dict__["project_id"] = project_id __props__.__dict__["ram"] = ram __props__.__dict__["region"] = region __props__.__dict__["security_group_rules"] = security_group_rules __props__.__dict__["security_groups"] = security_groups __props__.__dict__["server_group_members"] = server_group_members __props__.__dict__["server_groups"] = server_groups return QuotaSetV2(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def cores(self) -> pulumi.Output[int]: """ Quota value for cores. Changing this updates the existing quotaset. """ return pulumi.get(self, "cores") @property @pulumi.getter(name="fixedIps") def fixed_ips(self) -> pulumi.Output[int]: """ Quota value for fixed IPs. Changing this updates the existing quotaset. """ return pulumi.get(self, "fixed_ips") @property @pulumi.getter(name="floatingIps") def floating_ips(self) -> pulumi.Output[int]: """ Quota value for floating IPs. Changing this updates the existing quotaset. """ return pulumi.get(self, "floating_ips") @property @pulumi.getter(name="injectedFileContentBytes") def injected_file_content_bytes(self) -> pulumi.Output[int]: """ Quota value for content bytes of injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_file_content_bytes") @property @pulumi.getter(name="injectedFilePathBytes") def injected_file_path_bytes(self) -> pulumi.Output[int]: """ Quota value for path bytes of injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_file_path_bytes") @property @pulumi.getter(name="injectedFiles") def injected_files(self) -> pulumi.Output[int]: """ Quota value for injected files. Changing this updates the existing quotaset. """ return pulumi.get(self, "injected_files") @property @pulumi.getter def instances(self) -> pulumi.Output[int]: """ Quota value for instances. Changing this updates the existing quotaset. """ return pulumi.get(self, "instances") @property @pulumi.getter(name="keyPairs") def key_pairs(self) -> pulumi.Output[int]: """ Quota value for key pairs. Changing this updates the existing quotaset. """ return pulumi.get(self, "key_pairs") @property @pulumi.getter(name="metadataItems") def metadata_items(self) -> pulumi.Output[int]: """ Quota value for metadata items. Changing this updates the existing quotaset. """ return pulumi.get(self, "metadata_items") @property @pulumi.getter(name="projectId") def project_id(self) -> pulumi.Output[str]: """ ID of the project to manage quotas. Changing this creates a new quotaset. """ return pulumi.get(self, "project_id") @property @pulumi.getter def ram(self) -> pulumi.Output[int]: """ Quota value for RAM. Changing this updates the existing quotaset. """ return pulumi.get(self, "ram") @property @pulumi.getter def region(self) -> pulumi.Output[str]: """ The region in which to create the volume. If omitted, the `region` argument of the provider is used. Changing this creates a new quotaset. """ return pulumi.get(self, "region") @property @pulumi.getter(name="securityGroupRules") def security_group_rules(self) -> pulumi.Output[int]: """ Quota value for security group rules. Changing this updates the existing quotaset. """ return pulumi.get(self, "security_group_rules") @property @pulumi.getter(name="securityGroups") def security_groups(self) -> pulumi.Output[int]: """ Quota value for security groups. Changing this updates the existing quotaset. """ return pulumi.get(self, "security_groups") @property @pulumi.getter(name="serverGroupMembers") def server_group_members(self) -> pulumi.Output[int]: """ Quota value for server groups members. Changing this updates the existing quotaset. """ return pulumi.get(self, "server_group_members") @property @pulumi.getter(name="serverGroups") def server_groups(self) -> pulumi.Output[int]: """ Quota value for server groups. Changing this updates the existing quotaset. """ return pulumi.get(self, "server_groups")

42.158807

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42.199422

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null

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1

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1

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null

0

8

405e508a120ee9c6808a59ababde5f500118f698

113

py

Python

Modified_data/SpaceFOM/__init__.py

jiajlin/TrickHLA

ae704b97049579e997593ae6d8dd016010b8fa1e

[ "NASA-1.3" ]

18

2020-03-04T14:23:08.000Z

2022-03-17T10:47:21.000Z

Modified_data/SpaceFOM/__init__.py

jiajlin/TrickHLA

ae704b97049579e997593ae6d8dd016010b8fa1e

[ "NASA-1.3" ]

57

2020-06-04T16:03:44.000Z

2021-05-17T20:54:35.000Z

Modified_data/SpaceFOM/__init__.py

jiajlin/TrickHLA

ae704b97049579e997593ae6d8dd016010b8fa1e

[ "NASA-1.3" ]

5

2020-08-25T05:51:05.000Z

2021-10-01T18:37:38.000Z

from .SpaceFOMFederateConfig import * from .SpaceFOMMTRInteraction import * from .SpaceFOMRefFrameObject import *

37.666667

37

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0

7

40b6fd139983cf0c352f7637f9421ca84dcb3d9f

20,732

py

Python

paint/views.py

atulk17/Paint-App

4b56455596d140cee4a9b19c71fe82364c3f3b7c

[ "BSD-2-Clause" ]

null

paint/views.py

atulk17/Paint-App

4b56455596d140cee4a9b19c71fe82364c3f3b7c

[ "BSD-2-Clause" ]

null

paint/views.py

atulk17/Paint-App

4b56455596d140cee4a9b19c71fe82364c3f3b7c

[ "BSD-2-Clause" ]

1

2020-05-31T11:37:48.000Z

from django.shortcuts import render from .forms import SearchCustomerForm, SearchDistributorForm, SearchProductForm from django.http import HttpResponse, request from .models import Customers, Sale_Consists_of, Sales, Delivers, Distributor, Products, Purchase, Sales, Office_Expense import sqlite3 from django.http import JsonResponse def home(request): return render(request,'index.htm') def analysis(request): return render(request, 'Analysis.htm') def newrecord(request): return render(request, 'NewRecords.htm') def shoprecord(request): return render(request, 'Shoprecords.htm') def chartj(request): return render(request, 'purchasechart.htm') def chartjy(request): return render(request, 'purchasecharty.htm') def charts(request): return render(request, 'salechart.htm') def chartsy(request): return render(request,'salechartyearly.htm') def chartoe(request): return render(request, 'oechart.htm') def chartoey(request): return render(request, 'oecharty.htm') def chartpl(request): return render(request, 'plchart.htm') def chartply(request): return render(request, 'plcharty.htm') def search_customer(request): if request.method == "POST": form=SearchCustomerForm(request.POST) if form.is_valid(): name=form.cleaned_data.get('customer_name') phone=form.cleaned_data.get('phone') name='%'+name+'%' phone='%'+phone+'%' q = Customers.objects.raw('SELECT * FROM Customers WHERE Contact like %s and Customer_name like %s',[phone,name]) context = {'customer': q} return render(request, 'customerdetails.htm', context) else: q2= Customers.objects.raw('SELECT * FROM Customers') form = SearchCustomerForm() return render(request, 'searchc.htm', {'form': form ,'cust':q2}) def search_Distributor(request): if request.method == "POST": form=SearchDistributorForm(request.POST) if form.is_valid(): name=form.cleaned_data.get('Distributor_name') phone=form.cleaned_data.get('phone') name='%'+name+'%' phone='%'+phone+'%' q = Distributor.objects.raw('SELECT * FROM Distributor WHERE Contact_no like %s and Distributor_name like %s',[phone,name]) context = {'distributor': q} return render(request, 'disdetails.htm', context) else: q2=Distributor.objects.raw('SELECT * FROM Distributor') form = SearchDistributorForm() return render(request, 'searchd.htm', {'form': form,'dist':q2}) def search_product(request): if request.method == "POST": form=SearchProductForm(request.POST) if form.is_valid(): name=form.cleaned_data.get('product_name') name='%'+name+'%' q = Products.objects.raw('SELECT * FROM Products WHERE Product_name like %s',[name]) context = {'product': q} return render(request, 'prodetails.htm', context) else: q2 = Products.objects.raw('SELECT * FROM Products') form = SearchProductForm() return render(request, 'searchp.htm', {'form': form,'prod':q2}) def track_delivery(request): q2=Customers.objects.raw('SELECT C.Customer_id, C.Customer_name, S.Total_amount, S.Date_of_order, S.Invoice_no, SC.Delivery_status from Customers as C, Sales as S, Delivers as SC where C.Customer_id=S.Customer_id_id and S.Invoice_no=SC.Invoice_no_id and SC.Delivery_status = "NOT DELIVERED"') context = {'del': q2} return render(request, 'deldetails.htm', context) def purchasechart(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,7) as "Month", sum(Total_amount) as Amount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,7)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) return JsonResponse(data={ 'labels': Month, 'data': Amount, }) def purchasechartyear(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,4) as "Month", sum(Total_amount) as Amount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,4)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) return JsonResponse(data={ 'labels': Month, 'data': Amount, }) def salechart(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_order,1,7) as "Month", sum(Total_amount) as Amount, Invoice_no from Sales group by substr(Date_of_order,1,7)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) return JsonResponse(data={ 'labels': Month, 'data': Amount, }) def salechartyear(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_order,1,4) as "Year", sum(Total_amount) as Amount, Invoice_no from Sales group by substr(Date_of_order,1,4)') Year=[] Amount=[] for key in c.fetchall(): Year.append(key[0]) Amount.append(key[1]) return JsonResponse(data={ 'labels': Year, 'data': Amount, }) def oechart(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Expenditure_date,1,7) as "Month", sum(Amount) as Amount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,7)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) return JsonResponse(data={ 'labels': Month, 'data': Amount, }) def oecharty(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Expenditure_date,1,4) as "Month", sum(Amount) as Amount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,4)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) return JsonResponse(data={ 'labels': Month, 'data': Amount, }) def profitchart(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,7) as "Month", sum(Total_amount) as PAmount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,7)') Month=[] PAmount=[] for key in c.fetchall(): Month.append(key[0]) PAmount.append(key[1]) c.execute('SELECT substr(Date_of_order,1,7) as "SMonth", sum(Total_amount) as SAmount, Invoice_no from Sales group by substr(Date_of_order,1,7)') SMonth=[] SAmount=[] for key in c.fetchall(): SMonth.append(key[0]) SAmount.append(key[1]) c.execute('SELECT substr(Expenditure_date,1,7) as "OMonth", sum(Amount) as OEAmount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,7)') OEAmount=[] for key in c.fetchall(): OEAmount.append(key[1]) res_list = [] for i in range(0, 4): res_list.append(SAmount[i]-(PAmount[i] + OEAmount[i])) return JsonResponse(data={ 'labels': Month, 'dataa': res_list, }) def profitcharty(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,4) as "Month", sum(Total_amount) as PAmount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,4)') Month=[] PAmount=[] for key in c.fetchall(): Month.append(key[0]) PAmount.append(key[1]) c.execute('SELECT substr(Date_of_order,1,4) as "SMonth", sum(Total_amount) as SAmount, Invoice_no from Sales group by substr(Date_of_order,1,4)') SMonth=[] SAmount=[] for key in c.fetchall(): SMonth.append(key[0]) SAmount.append(key[1]) c.execute('SELECT substr(Expenditure_date,1,4) as "OMonth", sum(Amount) as OEAmount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,4)') OEAmount=[] for key in c.fetchall(): OEAmount.append(key[1]) res_list = [] for i in range(0, len(SAmount)): res_list.append(SAmount[i]-(PAmount[i] + OEAmount[i])) return JsonResponse(data={ 'labels': Month, 'dataa': res_list, }) def salechartcrm(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_order,1,7) as "Month", sum(Total_amount) as Amount, Invoice_no from Sales group by substr(Date_of_order,1,7)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) if(Amount[len(Amount)-1]<Amount[len(Amount)-2]): mar=Amount[len(Amount)-2]-Amount[len(Amount)-1] per=(mar/Amount[len(Amount)-2])*100 s=("The total sales in %s is less than the sales in %s by a margin of Rs. %d . There is a %.2f%% decline in sales" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(Amount[len(Amount)-1]>Amount[len(Amount)-2]): mar=Amount[len(Amount)-1]-Amount[len(Amount)-2] per=(mar/Amount[len(Amount)-1])*100 s=("The total sales in %s is more than the sales in %s by a margin of Rs. %d . There is a %.2f%% increase in sales" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total sales in %s is equal to the sales in %s. There is no change in sales" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def salechartcry(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_order,1,4) as "Month", sum(Total_amount) as Amount, Invoice_no from Sales group by substr(Date_of_order,1,4)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) if(Amount[len(Amount)-1]<Amount[len(Amount)-2]): mar=Amount[len(Amount)-2]-Amount[len(Amount)-1] per=(mar/Amount[len(Amount)-2])*100 s=("The total sales in %s is less than the sales in %s by a margin of Rs. %d . There is a %.2f%% decline in sales" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(Amount[len(Amount)-1]>Amount[len(Amount)-2]): mar=Amount[len(Amount)-1]-Amount[len(Amount)-2] per=(mar/Amount[len(Amount)-1])*100 s=("The total sales in %s is more than the sales in %s by a margin of Rs. %d . There is a %.2f%% increase in sales" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total sales in %s is equal to the sales in %s. There is no change in sales" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def purchasechartcrm(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,7) as "Month", sum(Total_amount) as Amount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,7)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) if(Amount[len(Amount)-1]<Amount[len(Amount)-2]): mar=Amount[len(Amount)-2]-Amount[len(Amount)-1] per=(mar/Amount[len(Amount)-2])*100 s=("The total purchases in %s is less than the purchases in %s by a margin of Rs. %d . There is a %.2f%% decline in purchases" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(Amount[len(Amount)-1]>Amount[len(Amount)-2]): mar=Amount[len(Amount)-1]-Amount[len(Amount)-2] per=(mar/Amount[len(Amount)-1])*100 s=("The total purchases in %s is more than the purchases in %s by a margin of Rs. %d . There is a %.2f%% increase in purchases" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total purchases in %s is equal to the purchases in %s. There is no change in purchases" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def purchasechartcry(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,4) as "Month", sum(Total_amount) as Amount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,4)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) if(Amount[len(Amount)-1]<Amount[len(Amount)-2]): mar=Amount[len(Amount)-2]-Amount[len(Amount)-1] per=(mar/Amount[len(Amount)-2])*100 s=("The total purchases in %s is less than the purchases in %s by a margin of Rs. %d . There is a %.2f%% decline in purchases" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(Amount[len(Amount)-1]>Amount[len(Amount)-2]): mar=Amount[len(Amount)-1]-Amount[len(Amount)-2] per=(mar/Amount[len(Amount)-1])*100 s=("The total purchases in %s is more than the purchases in %s by a margin of Rs. %d . There is a %.2f%% increase in purchases" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total purchases in %s is equal to the purchases in %s. There is no change in purchases" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def oechartcrm(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Expenditure_date,1,7) as "Month", sum(Amount) as Amount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,7)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) if(Amount[len(Amount)-1]<Amount[len(Amount)-2]): mar=Amount[len(Amount)-2]-Amount[len(Amount)-1] per=(mar/Amount[len(Amount)-2])*100 s=("The total Office Expenses in %s is less than the Office Expenses in %s by a margin of Rs. %d . There is a %.2f%% decline in Office Expenses" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(Amount[len(Amount)-1]>Amount[len(Amount)-2]): mar=Amount[len(Amount)-1]-Amount[len(Amount)-2] per=(mar/Amount[len(Amount)-1])*100 s=("The total Office Expenses in %s is more than the Office Expenses in %s by a margin of Rs. %d . There is a %.2f%% increase in Office Expenses" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total Office Expenses in %s is equal to the Office Expenses in %s. There is no change in Office Expenses" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def oechartcry(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Expenditure_date,1,4) as "Month", sum(Amount) as Amount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,4)') Month=[] Amount=[] for key in c.fetchall(): Month.append(key[0]) Amount.append(key[1]) if(Amount[len(Amount)-1]<Amount[len(Amount)-2]): mar=Amount[len(Amount)-2]-Amount[len(Amount)-1] per=(mar/Amount[len(Amount)-2])*100 s=("The total Office Expenses in %s is less than the Office Expenses in %s by a margin of Rs. %d . There is a %.2f%% decline in Office Expenses" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(Amount[len(Amount)-1]>Amount[len(Amount)-2]): mar=Amount[len(Amount)-1]-Amount[len(Amount)-2] per=(mar/Amount[len(Amount)-1])*100 s=("The total Office Expenses in %s is more than the Office Expenses in %s by a margin of Rs. %d . There is a %.2f%% increase in Office Expenses" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total Office Expenses in %s is equal to the Office Expenses in %s. There is no change in Office expenses" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def profitchartcrm(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,7) as "Month", sum(Total_amount) as PAmount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,7)') Month=[] PAmount=[] for key in c.fetchall(): Month.append(key[0]) PAmount.append(key[1]) c.execute('SELECT substr(Date_of_order,1,7) as "SMonth", sum(Total_amount) as SAmount, Invoice_no from Sales group by substr(Date_of_order,1,7)') SMonth=[] SAmount=[] for key in c.fetchall(): SMonth.append(key[0]) SAmount.append(key[1]) c.execute('SELECT substr(Expenditure_date,1,7) as "OMonth", sum(Amount) as OEAmount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,7)') OEAmount=[] for key in c.fetchall(): OEAmount.append(key[1]) res_list = [] for i in range(0, len(SAmount)): res_list.append(SAmount[i]-(PAmount[i] + OEAmount[i])) if(res_list[len(res_list)-1]<res_list[len(res_list)-2]): mar=abs(res_list[len(res_list)-2]-res_list[len(res_list)-1]) per=abs((mar/res_list[len(res_list)-2])*100) s=("The total Revenue in %s is less than the Revenue in %s by a margin of Rs. %d . There is a %.2f%% decline in Revenue. The shop is in loss" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(res_list[len(res_list)-1]>res_list[len(res_list)-2]): mar=abs(res_list[len(res_list)-1]-res_list[len(res_list)-2]) per=abs((mar/res_list[len(res_list)-1])*100) s=("The total Revenue in %s is more than the Revenue in %s by a margin of Rs. %d . There is a %.2f%% increase in Revenue. The shop is in gain" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total Revenue in %s is equal to the Revenue in %s. There is no change in Revenue" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s}) def profitchartcry(request): conn=sqlite3.connect('db.sqlite3') c=conn.cursor() c.execute('SELECT substr(Date_of_Purchase,1,4) as "Month", sum(Total_amount) as PAmount, Purchase_id from Purchase group by substr(Date_of_Purchase,1,4)') Month=[] PAmount=[] for key in c.fetchall(): Month.append(key[0]) PAmount.append(key[1]) c.execute('SELECT substr(Date_of_order,1,4) as "SMonth", sum(Total_amount) as SAmount, Invoice_no from Sales group by substr(Date_of_order,1,4)') SMonth=[] SAmount=[] for key in c.fetchall(): SMonth.append(key[0]) SAmount.append(key[1]) c.execute('SELECT substr(Expenditure_date,1,4) as "OMonth", sum(Amount) as OEAmount, Expenditure_id from Office_Expense group by substr(Expenditure_date,1,4)') OEAmount=[] for key in c.fetchall(): OEAmount.append(key[1]) res_list = [] for i in range(0, len(SAmount)): res_list.append(SAmount[i]-(PAmount[i] + OEAmount[i])) if(res_list[len(res_list)-1]<res_list[len(res_list)-2]): mar=abs(res_list[len(res_list)-2]-res_list[len(res_list)-1]) per=abs((mar/res_list[len(res_list)-2])*100) s=("The total Revenue in %s is less than the Revenue in %s by a margin of Rs. %d . There is a %.2f%% decline in Revenue. The shop is in loss" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) elif(res_list[len(res_list)-1]>res_list[len(res_list)-2]): mar=abs(res_list[len(res_list)-1]-res_list[len(res_list)-2]) per=abs((mar/res_list[len(res_list)-1])*100) s=("The total Revenue in %s is more than the Revenue in %s by a margin of Rs. %d . There is a %.2f%% increase in Revenue. The shop is in gain" % (Month[len(Month)-1],Month[len(Month)-2],mar,per)) else: s=("The total Revenue in %s is equal to the Revenue in %s. There is no change in Revenue" % (Month[len(Month)-1],Month[len(Month)-2])) return render(request, 'test.htm', {'str':s})

39.94605

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0

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39.94605

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null

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0

1

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null

0

7

40d06c7715fd6cd7c01531080f9c708b51464f5e

150

py

Python

powspechi/__init__.py

m33ra/HI_powspec

1a60cd55501b54a1cc391817860e0b80dba6c5f8

[ "MIT" ]

4

2019-10-05T16:34:07.000Z

2019-10-09T12:22:10.000Z

powspechi/__init__.py

m33ra/powspechi

1a60cd55501b54a1cc391817860e0b80dba6c5f8

[ "MIT" ]

null

powspechi/__init__.py

m33ra/powspechi

1a60cd55501b54a1cc391817860e0b80dba6c5f8

[ "MIT" ]

null

from powspechi.monte_carlos import * from powspechi.maps_manip import * from powspechi.powspec_calc import * from powspechi.powspec_analysis import *

30

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8

dc04a6e5df4fc905d10b6d6b25ee4079b160679b

26,783

py

Python

structureimpute/explore/compare_same_seq_true_and_predict_of_two_condition.py

Tsinghua-gongjing/StructureImpute

59e33e913998a8841c2cb552828f0f0cc19ebc21

[ "MIT" ]

9

2021-11-17T11:27:41.000Z

2022-03-04T10:27:37.000Z

structureimpute/explore/compare_same_seq_true_and_predict_of_two_condition.py

Tsinghua-gongjing/StructureImpute

59e33e913998a8841c2cb552828f0f0cc19ebc21

[ "MIT" ]

null

structureimpute/explore/compare_same_seq_true_and_predict_of_two_condition.py

Tsinghua-gongjing/StructureImpute

59e33e913998a8841c2cb552828f0f0cc19ebc21

[ "MIT" ]

null

from __future__ import print_function import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import seaborn as sns sns.set(style="ticks") sns.set_context("poster") plt.rcParams["font.family"] = "Helvetica" import sys, os from nested_dict import nested_dict import pandas as pd import numpy as np from pyfasta import Fasta import os import re import torch import time from termcolor import colored import util import argparse from scipy import stats from matplotlib.backends.backend_pdf import PdfPages import compare_true_and_predict def read_validate_predict(validate, predict): cols = ['tx', 'length', 'start', 'end', 'mean_reactivity', 'null_pct','seq','fragment_shape', 'fragment_shape(true)'] df_validate = pd.read_csv(validate, header=None, sep='\t') df_validate.columns = cols df_predict = pd.read_csv(predict, header=None, sep='\t') df_predict.columns = ['fragment_shape(predict)'] if df_validate.shape[0] != df_predict.shape[0]: print('validate{} & predict{} entry num not same'.format(df_validate.shape[0], df_predict.shape[0])) sys.exit() df_validate['fragment_shape(predict)'] = df_predict['fragment_shape(predict)'] print(df_validate.shape, df_validate.head()) return df_validate def compare_predict(validation_ls, predict_ls, label_ls, savefn, bases='AC'): validation_ls = validation_ls.split(':') predict_ls = predict_ls.split(':') label_ls = label_ls.split(':') df_validate_dict = nested_dict(1, list) for validate,predict,label in zip(validation_ls, predict_ls, label_ls): df_validate = read_validate_predict(validate, predict) df_validate_dict[label] = df_validate df_validate_merge = df_validate_dict[label_ls[0]].merge(df_validate_dict[label_ls[1]], on=['tx', 'start', 'end']) df_validate_merge['corr'] = [stats.pearsonr(list(map(float, i.split(','))),list(map(float, j.split(','))))[0] for i,j in zip(df_validate_merge['fragment_shape(true)_x'], df_validate_merge['fragment_shape(true)_y'])] df_validate_merge.sort_values(by=['corr'], inplace=True, ascending=False) df_validate_merge['mean_reactivity_x_predict'] = [np.mean([i_v for i_v,j_base in zip(list(map(float, i.split(','))), list(j)) if j_base in bases and i_v>=0]) for i,j in zip(df_validate_merge['fragment_shape(predict)_x'], df_validate_merge['seq_x'])] df_validate_merge['mean_reactivity_y_predict'] = [np.mean([i_v for i_v,j_base in zip(list(map(float, i.split(','))), list(j)) if j_base in bases and i_v>=0]) for i,j in zip(df_validate_merge['fragment_shape(predict)_y'], df_validate_merge['seq_y'])] print('merge', df_validate_merge.shape, df_validate_merge.head()) pdf = mpl.backends.backend_pdf.PdfPages(savefn) mean_null_dict = nested_dict(1, list) for n,(tx,start,end,s1,s2,s3,s4,s5,s6,seq) in enumerate(zip(df_validate_merge['tx'],df_validate_merge['start'],df_validate_merge['end'],df_validate_merge['fragment_shape_x'],df_validate_merge['fragment_shape(true)_x'],df_validate_merge['fragment_shape(predict)_x'],df_validate_merge['fragment_shape_y'],df_validate_merge['fragment_shape(true)_y'],df_validate_merge['fragment_shape(predict)_y'],df_validate_merge['seq_x'])): title = '{}:{}-{}'.format(tx,start,end) if n<=100: s3 = ','.join([i if j in 'AC' else '-1' for i,j in zip(s3.split(','),seq)]) s6 = ','.join([i if j in 'AC' else '-1' for i,j in zip(s6.split(','),seq)]) fig = compare_true_and_predict.plot_bar(shape_ls=[s1,s2,s3,s4,s5,s6], seq=seq, label_ls=['NULL1','True1','Predict1','NULL2','True2','Predict2'], savefn=None, pdf=pdf, title=title, ylim_ls=[[-0.1,1.1],[-0.1,1.1],[-0.1,1.1],[-0.1,1.1],[-0.1,1.1],[-0.1,1.1]]) mean_null1 = np.mean([j for i,j in zip(list(map(float, s1.split(','))), list(map(float, s2.split(',')))) if i == -1]) mean_null2 = np.mean([j for i,j in zip(list(map(float, s1.split(','))), list(map(float, s3.split(',')))) if i == -1]) mean_null3 = np.mean([j for i,j in zip(list(map(float, s4.split(','))), list(map(float, s5.split(',')))) if i == -1]) mean_null4 = np.mean([j for i,j in zip(list(map(float, s4.split(','))), list(map(float, s6.split(',')))) if i == -1]) mean_null_dict['mean_null_x'].append(mean_null1) mean_null_dict['mean_null_x_predict'].append(mean_null2) mean_null_dict['mean_null_y'].append(mean_null3) mean_null_dict['mean_null_y_predict'].append(mean_null4) for i,j in mean_null_dict.items(): df_validate_merge[i] = j plt.close() pdf.close() df_validate_merge.to_csv(savefn.replace('.pdf','.txt'), header=True, index=False, sep='\t') col_ls = ['mean_reactivity_x', 'mean_reactivity_x_predict', 'mean_reactivity_y', 'mean_reactivity_y_predict'] df_plot_mean = df_validate_merge.loc[:, col_ls].mean(axis=0) fig,ax=plt.subplots() for i in df_validate_merge.index: ax.plot(range(0, len(col_ls)), df_validate_merge.loc[i, col_ls], color='grey', lw=0.8, alpha=0.5) ax.plot(range(0, len(col_ls)), df_plot_mean, color='blue', lw=1.2) plt.tight_layout() plt.savefig(savefn.replace('.pdf','.mean.pdf')) plt.close() fig,ax=plt.subplots(figsize=(8,8)) df_validate_merge[col_ls].plot(kind='box') r1,p1 = stats.ttest_ind(df_validate_merge['mean_reactivity_x'],df_validate_merge['mean_reactivity_x_predict']) r2,p2 = stats.ttest_ind(df_validate_merge['mean_reactivity_y'],df_validate_merge['mean_reactivity_y_predict']) r3,p3 = stats.ttest_ind(df_validate_merge['mean_reactivity_x'],df_validate_merge['mean_reactivity_y']) r4,p4 = stats.ttest_ind(df_validate_merge['mean_reactivity_x_predict'],df_validate_merge['mean_reactivity_y_predict']) title = 'n={}; p1: {:.3f}, p2: {:.3f}, \np3: {:.3f}, p4:{:.3f}'.format(df_validate_merge.shape[0], p1,p2,p3,p4) plt.title(title) plt.tight_layout() plt.savefig(savefn.replace('.pdf','.mean.box.pdf')) plt.close() col_ls = ['mean_null_x', 'mean_null_x_predict', 'mean_null_y', 'mean_null_y_predict'] df_plot_mean = df_validate_merge.loc[:, col_ls].mean(axis=0) fig,ax=plt.subplots() for i in df_validate_merge.index: ax.plot(range(0, len(col_ls)), df_validate_merge.loc[i, col_ls], color='grey', lw=0.8, alpha=0.5) ax.plot(range(0, len(col_ls)), df_plot_mean, color='blue', lw=1.2) plt.tight_layout() plt.savefig(savefn.replace('.pdf','.mean.null.pdf')) plt.close() fig,ax=plt.subplots(figsize=(8,8)) df_validate_merge[col_ls].plot(kind='box') r1,p1 = stats.ttest_ind(df_validate_merge['mean_null_x'],df_validate_merge['mean_null_x_predict']) r2,p2 = stats.ttest_ind(df_validate_merge['mean_null_y'],df_validate_merge['mean_null_y_predict']) r3,p3 = stats.ttest_ind(df_validate_merge['mean_null_x'],df_validate_merge['mean_null_y']) r4,p4 = stats.ttest_ind(df_validate_merge['mean_null_x_predict'],df_validate_merge['mean_null_y_predict']) # p1 = stats.ks_2samp(df_validate_merge['mean_null_x'],df_validate_merge['mean_null_x_predict'])[1] # p2 = stats.ks_2samp(df_validate_merge['mean_null_y'],df_validate_merge['mean_null_y_predict'])[1] # p3 = stats.ks_2samp(df_validate_merge['mean_null_x'],df_validate_merge['mean_null_y'])[1] # p4 = stats.ks_2samp(df_validate_merge['mean_null_x_predict'],df_validate_merge['mean_null_y_predict'])[1] title = 'n={}; p1: {:.3f}, p2: {:.3f}, \np3: {:.3f}, p4:{:.3f}'.format(df_validate_merge.shape[0], p1,p2,p3,p4) plt.title(title) plt.tight_layout() plt.savefig(savefn.replace('.pdf','.mean.null2.pdf')) plt.close() def main(): #################################################################### ### define parser of arguments parser = argparse.ArgumentParser(description='Plot correlation bar of multiple condition') parser.add_argument('--validation_ls', type=str, help='Validation file list') parser.add_argument('--predict_ls', type=str, help='Predict file list') parser.add_argument('--label_ls', type=str, help='Lable list') parser.add_argument('--savefn', type=str, default='/home/gongjing/project/shape_imputation/results/condition_compare_correlation.track.wc_vs_cy.pdf', help='Path to plot file') # get args args = parser.parse_args() util.print_args('Plot correlation bar of multiple condition', args) compare_predict(validation_ls=args.validation_ls, predict_ls=args.predict_ls, label_ls=args.label_ls, savefn=args.savefn) # validation_wc = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_randomnullfragment/windowLen100.sliding100.validation.randomNperfragmentNullPct0.3.maxL20.S1234.txt' # predict_wc = '/home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.txt' # validation_ch = '/home/gongjing/project/shape_imputation/data/hek_cy_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.txt' # predict_ch = '/home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.validation_hek_cy_vivo_0.1.txt' # validation_ls = ':'.join([validation_wc, validation_ch]) # predict_ls = ':'.join([predict_wc, predict_ch]) # label_ls = 'wc:ch' # compare_predict(validation_ls=validation_ls, predict_ls=predict_ls, label_ls=label_ls, savefn=args.savefn) if __name__ == '__main__': main() ''' python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_randomnullfragment/windowLen100.sliding100.validation.randomNperfragmentNullPct0.3.maxL20.S1234.txt:/home/gongjing/project/shape_imputation/data/hek_cy_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.NULLasWC.txt --predict_ls /home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.txt:/home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.validation_hek_cy_vivo_0.1.NULLasWC.txt --label_ls wc:cy_sameNULL --savefn /home/gongjing/project/shape_imputation/results/condition_compare_correlation.track.wc_vs_cy.NULLasWC.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_randomnullfragment/windowLen100.sliding100.validation.randomNperfragmentNullPct0.3.maxL20.S1234.txt:/home/gongjing/project/shape_imputation/data/hek_ch_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.NULLasWC.txt --predict_ls /home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.txt:/home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.validation_hek_ch_vivo_0.1.NULLasWC.txt --label_ls wc:ch_sameNULL --savefn /home/gongjing/project/shape_imputation/results/condition_compare_correlation.track.wc_vs_ch.NULLasWC.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_randomnullfragment/windowLen100.sliding100.validation.randomNperfragmentNullPct0.3.maxL20.S1234.txt:/home/gongjing/project/shape_imputation/data/hek_np_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.NULLasWC.txt --predict_ls /home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.txt:/home/gongjing/project/shape_imputation/exper/b28_trainLossall_GmultiplyX_randomNperfragmentpct0.3L20x10_randomNperValidate2/prediction.validation_hek_np_vivo_0.1.NULLasWC.txt --label_ls wc:np_sameNULL --savefn /home/gongjing/project/shape_imputation/results/condition_compare_correlation.track.wc_vs_np.NULLasWC.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation.txt:/home/gongjing/project/shape_imputation/data/hek_np_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_wc_vivo0.1.txt:/home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_np_vivo0.1.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c80.condition_compare_correlation.track.wc_vs_np.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation.txt:/home/gongjing/project/shape_imputation/data/hek_ch_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_wc_vivo0.1.txt:/home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_ch_vivo0.1.txt --label_ls wc:ch --savefn /home/gongjing/project/shape_imputation/results/c80.condition_compare_correlation.track.wc_vs_ch.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation.txt:/home/gongjing/project/shape_imputation/data/hek_cy_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.1.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_wc_vivo0.1.txt:/home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_cy_vivo0.1.txt --label_ls wc:ch --savefn /home/gongjing/project/shape_imputation/results/c80.condition_compare_correlation.track.wc_vs_cy.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.inwc6205.txt:/home/gongjing/project/shape_imputation/data/hek_np_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull_randomNULL0.3.inwc6205.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_wc_vivo0.3_trainvalidationinwc6205.txt:/home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_np_vivo0.3_trainvalidationinwc6205.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c80.null0.3.condition_compare_correlation.track.wc_vs_np.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.inwc6205.txt:/home/gongjing/project/shape_imputation/data/hek_cy_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull_randomNULL0.3.inwc6205.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_wc_vivo0.3_trainvalidationinwc6205.txt:/home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_cy_vivo0.3_trainvalidationinwc6205.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c80.null0.3.condition_compare_correlation.track.wc_vs_cy.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.inwc6205.txt:/home/gongjing/project/shape_imputation/data/hek_ch_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull_randomNULL0.3.inwc6205.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_wc_vivo0.3_trainvalidationinwc6205.txt:/home/gongjing/project/shape_imputation/exper/c80_trainpct0.3x50_validate100M/prediction.hek_ch_vivo0.3_trainvalidationinwc6205.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c80.null0.3.condition_compare_correlation.track.wc_vs_ch.pdf # c94 python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.inwc6205.txt:/home/gongjing/project/shape_imputation/data/hek_np_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull_randomNULL0.3.inwc6205.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c94_trainpct0.3x50_validate100M_monitorvalloss_train_hasnull_validate_hasnull/prediction.hek_wc_vivo0.3_trainvalidationinwc6205.txt:/home/gongjing/project/shape_imputation/exper/c94_trainpct0.3x50_validate100M_monitorvalloss_train_hasnull_validate_hasnull/prediction.hek_np_vivo0.3_trainvalidationinwc6205.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c94.null0.3.condition_compare_correlation.track.wc_vs_np.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.inwc6205.txt:/home/gongjing/project/shape_imputation/data/hek_cy_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull_randomNULL0.3.inwc6205.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c94_trainpct0.3x50_validate100M_monitorvalloss_train_hasnull_validate_hasnull/prediction.hek_wc_vivo0.3_trainvalidationinwc6205.txt:/home/gongjing/project/shape_imputation/exper/c94_trainpct0.3x50_validate100M_monitorvalloss_train_hasnull_validate_hasnull/prediction.hek_cy_vivo0.3_trainvalidationinwc6205.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c94.null0.3.condition_compare_correlation.track.wc_vs_cy.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.inwc6205.txt:/home/gongjing/project/shape_imputation/data/hek_ch_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull_randomNULL0.3.inwc6205.txt --predict_ls /home/gongjing/project/shape_imputation/exper/c94_trainpct0.3x50_validate100M_monitorvalloss_train_hasnull_validate_hasnull/prediction.hek_wc_vivo0.3_trainvalidationinwc6205.txt:/home/gongjing/project/shape_imputation/exper/c94_trainpct0.3x50_validate100M_monitorvalloss_train_hasnull_validate_hasnull/prediction.hek_ch_vivo0.3_trainvalidationinwc6205.txt --label_ls wc:np --savefn /home/gongjing/project/shape_imputation/results/c94.null0.3.condition_compare_correlation.track.wc_vs_ch.pdf # d06 python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_K562_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_K562_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vitrorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vivorandomNULL0.3.txt --label_ls DMSseq_K562_vitro:DMSseq_K562_vivo --savefn /home/gongjing/project/shape_imputation/results/d06.randomnull0.3.condition_compare_correlation.track.K562_vitro_vs_vivo.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_K562_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vitrorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_fibroblast_vitrorandomNULL0.3.txt --label_ls DMSseq_K562_vitro:DMSseq_fibroblast_vitro --savefn /home/gongjing/project/shape_imputation/results/d06.randomnull0.3.condition_compare_correlation.track.K562_vitro_vs_fibroblast_vitro.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_K562_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vitrorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_fibroblast_vivorandomNULL0.3.txt --label_ls DMSseq_K562_vitro:DMSseq_fibroblast_vivo --savefn /home/gongjing/project/shape_imputation/results/d06.randomnull0.3.condition_compare_correlation.track.K562_vitro_vs_fibroblast_vivo.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_fibroblast_vivorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d06_DMSseq_K562_vitro_trainRandmask0.3x50_vallownull100_lossDMSloss_all/prediction.DMSseq_fibroblast_vitrorandomNULL0.3.txt --label_ls DMSseq_fibroblast_vivo:DMSseq_fibroblast_vitro --savefn /home/gongjing/project/shape_imputation/results/d06.randomnull0.3.condition_compare_correlation.track.fibroblast_vitro_vs_vivo.pdf # d10 python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_K562_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_K562_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d10_DMSseq_K562_vivo_trainRandmask0.3x10_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vivorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d10_DMSseq_K562_vivo_trainRandmask0.3x10_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vitrorandomNULL0.3.txt --label_ls DMSseq_K562_vivo:DMSseq_K562_vitro --savefn /home/gongjing/project/shape_imputation/results/d10.randomnull0.3.condition_compare_correlation.track.K562_vivo_vs_vitro.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_K562_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d10_DMSseq_K562_vivo_trainRandmask0.3x10_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vivorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d10_DMSseq_K562_vivo_trainRandmask0.3x10_vallownull100_lossDMSloss_all/prediction.DMSseq_fibroblast_vivorandomNULL0.3.txt --label_ls DMSseq_K562_vivo:DMSseq_fibroblast_vivo --savefn /home/gongjing/project/shape_imputation/results/d10.randomnull0.3.condition_compare_correlation.track.vivo_K562_vs_fibroblast.pdf python compare_same_seq_true_and_predict_of_two_condition.py --validation_ls /home/gongjing/project/shape_imputation/data/DMSseq_K562_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt:/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_randomNULL0.3.txt --predict_ls /home/gongjing/project/shape_imputation/exper/d10_DMSseq_K562_vivo_trainRandmask0.3x10_vallownull100_lossDMSloss_all/prediction.DMSseq_K562_vitrorandomNULL0.3.txt:/home/gongjing/project/shape_imputation/exper/d10_DMSseq_K562_vivo_trainRandmask0.3x10_vallownull100_lossDMSloss_all/prediction.DMSseq_fibroblast_vitrorandomNULL0.3.txt --label_ls DMSseq_K562_vivo:DMSseq_K562_vitro --savefn /home/gongjing/project/shape_imputation/results/d10.randomnull0.3.condition_compare_correlation.track.vitro_K562_vs_fibroblast.pdf '''

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905e73b142c5378a5b79189c0c81b763097450ca

149

py

Python

hb_quant/huobi/constant/__init__.py

wenli135/Binance-volatility-trading-bot

75a03ad61df0e95492128fb6f1f419d4dc256ab3

[ "MIT" ]

611

2019-07-10T08:17:50.000Z

2022-03-21T18:56:39.000Z

hb_quant/huobi/constant/__init__.py

wenli135/Binance-volatility-trading-bot

75a03ad61df0e95492128fb6f1f419d4dc256ab3

[ "MIT" ]

105

2019-07-12T03:43:41.000Z

2022-03-30T10:33:06.000Z

hb_quant/huobi/constant/__init__.py

wenli135/Binance-volatility-trading-bot

75a03ad61df0e95492128fb6f1f419d4dc256ab3

[ "MIT" ]

325

2019-07-12T02:46:54.000Z

2022-03-21T18:56:41.000Z

from huobi.constant.definition import * from huobi.constant.result import * from huobi.constant.system import * from huobi.constant.test import *

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9072ebd509b3ec8099f763646c2bfde9709c9c96

7,700

py

Python

imagepy/menus/Process/Features/blob_plgs.py

CsatiZoltan/imagepy

df44caef2822f2c543b9fa4ef6132a7b1014623e

[ "BSD-4-Clause" ]

1

2020-05-16T12:30:30.000Z

imagepy/menus/Process/Features/blob_plgs.py

HeLiangHIT/imagepy

9a60ad3b1e8f79f2dcc47e4f246a4f31a96f99f5

[ "BSD-4-Clause" ]

null

imagepy/menus/Process/Features/blob_plgs.py

HeLiangHIT/imagepy

9a60ad3b1e8f79f2dcc47e4f246a4f31a96f99f5

[ "BSD-4-Clause" ]

null

from imagepy import IPy import numpy as np from imagepy.core.engine import Simple from skimage.feature import blob_dog, blob_doh, blob_log from imagepy.core.mark import GeometryMark import pandas as pd class Dog(Simple): title = 'Blob Dog' note = ['all', 'preview'] para = {'min_sigma':1, 'max_sigma':50, 'sigma_ratio':1.6, 'threshold':0.1, 'overlap':0.5, 'exclude_border':False, 'showid':True, 'slice':False} view = [(int, 'min_sigma', (1, 50), 0, 'min', 'sigma'), (int, 'max_sigma', (1, 50), 0, 'max', 'sigma'), (float, 'sigma_ratio', (1.3, 5), 1, 'ratio', '1.3~5'), (float, 'threshold', (0.1, 10), 1, 'threshold', '0.1~10'), (float, 'overlap', (0, 10), 1, 'overlap', ''), (bool, 'exclude_border', 'exclude border'), (bool, 'showid', 'show id on image'), (bool, 'slice', 'slice')] def preview(self, ips, para): grayimg = ips.img if ips.img.ndim==2 else ips.img.mean(axis=-1) grayimg /= grayimg.max() pts = blob_dog(grayimg, min_sigma=para['min_sigma'], max_sigma=para['max_sigma'], sigma_ratio=para['sigma_ratio'], threshold=para['threshold'], overlap=para['overlap'], exclude_border=para['exclude_border']) pts[:,2] *= np.sqrt(2) ips.mark = GeometryMark({'type':'circles', 'body':pts[:,[1,0,2]]}) def cancel(self, ips): ips.mark = None def run(self, ips, imgs, para = None): if not para['slice']:imgs = [ips.img] data, sid, fid, mark = [], [], [], {'type':'layers', 'body':{}} for i in range(len(imgs)): grayimg = imgs[i] if imgs[i].ndim==2 else imgs[i].mean(axis=-1) grayimg /= grayimg.max() pts = blob_dog(grayimg, min_sigma=para['min_sigma'], max_sigma=para['max_sigma'], sigma_ratio=para['sigma_ratio'], threshold=para['threshold'], overlap=para['overlap'], exclude_border=para['exclude_border']) pts[:,2] *= np.sqrt(2) sid.extend([i]*len(pts)) fid.extend(range(1, len(pts)+1)) data.append(pts) layer = {'type':'layer', 'body':[{'type':'circles', 'body':pts[:,[1,0,2]]}]} if para['showid']: layer['body'].append({'type':'texts', 'body':[ (x,y,'id=%d'%i) for (x,y),i in zip(pts[:,1::-1], fid)]}) mark['body'][i] = layer ips.mark = GeometryMark(mark) df = pd.DataFrame(np.vstack(data)*ips.unit[0], columns = ['X', 'Y', 'R']) df.insert(0, 'FID', fid) if para['slice']: df.insert(o, 'SliceID', sid) IPy.show_table(df, ips.title+'-dogblob') class Doh(Simple): title = 'Blob Doh' note = ['all', 'preview'] para = {'min_sigma':1, 'max_sigma':30, 'num_sigma':10, 'threshold':0.01, 'overlap':0.5, 'log_scale':False, 'showid':True, 'slice':False} view = [(int, 'min_sigma', (1, 50), 0, 'min', 'sigma'), (int, 'max_sigma', (1, 50), 0, 'max', 'sigma'), (int, 'num_sigma', (5, 30), 0, 'num', 'sigma'), (float, 'threshold', (0.01, 1), 2, 'threshold', '0.1~10'), (float, 'overlap', (0, 10), 1, 'overlap', ''), (bool, 'log_scale', 'log scale'), (bool, 'showid', 'show id on image'), (bool, 'slice', 'slice')] def preview(self, ips, para): grayimg = ips.img if ips.img.ndim==2 else ips.img.mean(axis=-1) grayimg /= grayimg.max() pts = blob_doh(grayimg, min_sigma=para['min_sigma'], max_sigma=para['max_sigma'], num_sigma=para['num_sigma'], threshold=para['threshold'], overlap=para['overlap'], log_scale=para['log_scale']) ips.mark = GeometryMark({'type':'circles', 'body':pts[:,[1,0,2]]}) def cancel(self, ips): ips.mark = None def run(self, ips, imgs, para = None): if not para['slice']:imgs = [ips.img] data, sid, fid, mark = [], [], [], {'type':'layers', 'body':{}} for i in range(len(imgs)): grayimg = imgs[i] if imgs[i].ndim==2 else imgs[i].mean(axis=-1) grayimg /= grayimg.max() pts = blob_doh(grayimg, min_sigma=para['min_sigma'], max_sigma=para['max_sigma'], num_sigma=para['num_sigma'], threshold=para['threshold'], overlap=para['overlap'], log_scale=para['log_scale']) sid.extend([i]*len(pts)) fid.extend(range(1, len(pts)+1)) data.append(pts) layer = {'type':'layer', 'body':[{'type':'circles', 'body':pts[:,[1,0,2]]}]} if para['showid']: layer['body'].append({'type':'texts', 'body':[ (x,y,'id=%d'%i) for (x,y),i in zip(pts[:,1::-1], fid)]}) mark['body'][i] = layer ips.mark = GeometryMark(mark) df = pd.DataFrame(np.vstack(data)*ips.unit[0], columns = ['X', 'Y', 'R']) df.insert(0, 'FID', fid) if para['slice']: df.insert(o, 'SliceID', sid) IPy.show_table(df, ips.title+'-dohblob') class Log(Simple): title = 'Blob Log' note = ['all', 'preview'] para = {'min_sigma':1, 'max_sigma':30, 'num_sigma':10, 'threshold':0.1, 'overlap':0.5, 'log_scale':False, 'showid':True, 'exclude_border':False, 'slice':False} view = [(int, 'min_sigma', (1, 50), 0, 'min', 'sigma'), (int, 'max_sigma', (1, 50), 0, 'max', 'sigma'), (int, 'num_sigma', (5, 30), 0, 'num', 'sigma'), (float, 'threshold', (0.01, 1), 2, 'threshold', '0.02~1'), (float, 'overlap', (0, 10), 1, 'overlap', ''), (bool, 'log_scale', 'log scale'), (bool, 'exclude_border', 'exclude border'), (bool, 'showid', 'show id on image'), (bool, 'slice', 'slice')] def preview(self, ips, para): grayimg = ips.img if ips.img.ndim==2 else ips.img.mean(axis=-1) grayimg /= grayimg.max() pts = blob_log(grayimg, min_sigma=para['min_sigma'], max_sigma=para['max_sigma'], num_sigma=para['num_sigma'], threshold=para['threshold'], overlap=para['overlap'], log_scale=para['log_scale'], exclude_border=para['exclude_border']) pts[:,2] *= np.sqrt(2) ips.mark = GeometryMark({'type':'circles', 'body':pts[:,[1,0,2]]}) def cancel(self, ips): ips.mark = None def run(self, ips, imgs, para = None): if not para['slice']:imgs = [ips.img] data, sid, fid, mark = [], [], [], {'type':'layers', 'body':{}} for i in range(len(imgs)): grayimg = imgs[i] if imgs[i].ndim==2 else imgs[i].mean(axis=-1) grayimg /= grayimg.max() pts = blob_log(grayimg, min_sigma=para['min_sigma'], max_sigma=para['max_sigma'], num_sigma=para['num_sigma'], threshold=para['threshold'], overlap=para['overlap'], log_scale=para['log_scale'], exclude_border=para['exclude_border']) pts[:,2] *= np.sqrt(2) sid.extend([i]*len(pts)) fid.extend(range(1, len(pts)+1)) data.append(pts) layer = {'type':'layer', 'body':[{'type':'circles', 'body':pts[:,[1,0,2]]}]} if para['showid']: layer['body'].append({'type':'texts', 'body':[ (x,y,'id=%d'%i) for (x,y),i in zip(pts[:,1::-1], fid)]}) mark['body'][i] = layer ips.mark = GeometryMark(mark) df = pd.DataFrame(np.vstack(data)*ips.unit[0], columns = ['X', 'Y', 'R']) df.insert(0, 'FID', fid) if para['slice']: df.insert(o, 'SliceID', sid) IPy.show_table(df, ips.title+'-dohblob') plgs = [Dog, Doh, Log]

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90a1b5c698734d7d439815de91772a44270da425

35,108

py

Python

lang/python/github/com/metaprov/modelaapi/services/dataset/v1/dataset_pb2_grpc.py

metaprov/modelaapi

64ab493dd73329196235e15776e5177c72281990

[ "Apache-2.0" ]

5

2022-02-18T03:40:10.000Z

2022-03-01T16:11:24.000Z

lang/python/github/com/metaprov/modelaapi/services/dataset/v1/dataset_pb2_grpc.py

metaprov/modelaapi

64ab493dd73329196235e15776e5177c72281990

[ "Apache-2.0" ]

1

2022-01-07T19:59:25.000Z

2022-02-04T01:21:14.000Z

lang/python/github/com/metaprov/modelaapi/services/dataset/v1/dataset_pb2_grpc.py

metaprov/modelaapi

64ab493dd73329196235e15776e5177c72281990

[ "Apache-2.0" ]

1

2022-03-25T10:21:43.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from github.com.metaprov.modelaapi.services.dataset.v1 import dataset_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2 class DatasetServiceStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ListDatasets = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/ListDatasets', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ListDatasetsRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ListDatasetsResponse.FromString, ) self.GetDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetResponse.FromString, ) self.CreateDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CreateDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetResponse.FromString, ) self.UpdateDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/UpdateDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UpdateDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UpdateDatasetResponse.FromString, ) self.DeleteDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/DeleteDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DeleteDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DeleteDatasetResponse.FromString, ) self.CompareDatasets = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CompareDatasets', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CompareDatasetsRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CompareDatasetsResponse.FromString, ) self.GetDatasetProfile = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetDatasetProfile', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetProfileRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetProfileResponse.FromString, ) self.CreateDatasetProfile = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CreateDatasetProfile', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetProfileRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetProfileResponse.FromString, ) self.CreateColumnProfile = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CreateColumnProfile', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateColumnProfileRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateColumnProfileResponse.FromString, ) self.GenerateDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GenerateDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GenerateDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GenerateDatasetResponse.FromString, ) self.ValidateDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/ValidateDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ValidateDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ValidateDatasetResponse.FromString, ) self.UploadChunk = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/UploadChunk', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UploadChunkRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UploadChunkResponse.FromString, ) self.DownloadDataset = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/DownloadDataset', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DownloadDatasetRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DownloadDatasetResponse.FromString, ) self.GetDatabases = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetDatabases', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatabasesRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatabasesResponse.FromString, ) self.GetTables = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetTables', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetTablesRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetTablesResponse.FromString, ) self.ExecuteSql = channel.unary_unary( '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/ExecuteSql', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ExecuteSqlRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ExecuteSqlResponse.FromString, ) class DatasetServiceServicer(object): """Missing associated documentation comment in .proto file.""" def ListDatasets(self, request, context): """Datasets """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetDataset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateDataset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UpdateDataset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteDataset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CompareDatasets(self, request, context): """compare one or more datasets """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetDatasetProfile(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateDatasetProfile(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateColumnProfile(self, request, context): """Get a single column viz, we do that since we want to parallelize the computation of the viz """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GenerateDataset(self, request, context): """generate a syntatic dataset """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ValidateDataset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UploadChunk(self, request, context): """option (google.api.http).post = "/v1/datasets/{namespace}/{name}:upload"; """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DownloadDataset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetDatabases(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetTables(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ExecuteSql(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_DatasetServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'ListDatasets': grpc.unary_unary_rpc_method_handler( servicer.ListDatasets, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ListDatasetsRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ListDatasetsResponse.SerializeToString, ), 'GetDataset': grpc.unary_unary_rpc_method_handler( servicer.GetDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetResponse.SerializeToString, ), 'CreateDataset': grpc.unary_unary_rpc_method_handler( servicer.CreateDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetResponse.SerializeToString, ), 'UpdateDataset': grpc.unary_unary_rpc_method_handler( servicer.UpdateDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UpdateDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UpdateDatasetResponse.SerializeToString, ), 'DeleteDataset': grpc.unary_unary_rpc_method_handler( servicer.DeleteDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DeleteDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DeleteDatasetResponse.SerializeToString, ), 'CompareDatasets': grpc.unary_unary_rpc_method_handler( servicer.CompareDatasets, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CompareDatasetsRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CompareDatasetsResponse.SerializeToString, ), 'GetDatasetProfile': grpc.unary_unary_rpc_method_handler( servicer.GetDatasetProfile, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetProfileRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetProfileResponse.SerializeToString, ), 'CreateDatasetProfile': grpc.unary_unary_rpc_method_handler( servicer.CreateDatasetProfile, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetProfileRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetProfileResponse.SerializeToString, ), 'CreateColumnProfile': grpc.unary_unary_rpc_method_handler( servicer.CreateColumnProfile, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateColumnProfileRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateColumnProfileResponse.SerializeToString, ), 'GenerateDataset': grpc.unary_unary_rpc_method_handler( servicer.GenerateDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GenerateDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GenerateDatasetResponse.SerializeToString, ), 'ValidateDataset': grpc.unary_unary_rpc_method_handler( servicer.ValidateDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ValidateDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ValidateDatasetResponse.SerializeToString, ), 'UploadChunk': grpc.unary_unary_rpc_method_handler( servicer.UploadChunk, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UploadChunkRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UploadChunkResponse.SerializeToString, ), 'DownloadDataset': grpc.unary_unary_rpc_method_handler( servicer.DownloadDataset, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DownloadDatasetRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DownloadDatasetResponse.SerializeToString, ), 'GetDatabases': grpc.unary_unary_rpc_method_handler( servicer.GetDatabases, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatabasesRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatabasesResponse.SerializeToString, ), 'GetTables': grpc.unary_unary_rpc_method_handler( servicer.GetTables, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetTablesRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetTablesResponse.SerializeToString, ), 'ExecuteSql': grpc.unary_unary_rpc_method_handler( servicer.ExecuteSql, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ExecuteSqlRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ExecuteSqlResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'github.com.metaprov.modelaapi.services.dataset.v1.DatasetService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class DatasetService(object): """Missing associated documentation comment in .proto file.""" @staticmethod def ListDatasets(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/ListDatasets', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ListDatasetsRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ListDatasetsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CreateDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def UpdateDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/UpdateDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UpdateDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UpdateDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/DeleteDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DeleteDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DeleteDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CompareDatasets(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CompareDatasets', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CompareDatasetsRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CompareDatasetsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetDatasetProfile(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetDatasetProfile', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetProfileRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatasetProfileResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateDatasetProfile(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CreateDatasetProfile', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetProfileRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateDatasetProfileResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateColumnProfile(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/CreateColumnProfile', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateColumnProfileRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.CreateColumnProfileResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GenerateDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GenerateDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GenerateDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GenerateDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ValidateDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/ValidateDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ValidateDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ValidateDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def UploadChunk(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/UploadChunk', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UploadChunkRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.UploadChunkResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DownloadDataset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/DownloadDataset', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DownloadDatasetRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.DownloadDatasetResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetDatabases(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetDatabases', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatabasesRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetDatabasesResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetTables(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/GetTables', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetTablesRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.GetTablesResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ExecuteSql(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.dataset.v1.DatasetService/ExecuteSql', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ExecuteSqlRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_dataset_dot_v1_dot_dataset__pb2.ExecuteSqlResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

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90ad40c21bdc1c3036ceb16c8453d894f88af372

7,473

py

Python

tests/test_create_inconsistent_dimensionality.py

chadwhawkins/Shapely

73626bce8e99b3f251ad874a41d97d2384e734ce

[ "BSD-3-Clause" ]

1

2020-08-24T14:38:08.000Z

tests/test_create_inconsistent_dimensionality.py

chadwhawkins/Shapely

73626bce8e99b3f251ad874a41d97d2384e734ce

[ "BSD-3-Clause" ]

null

tests/test_create_inconsistent_dimensionality.py

chadwhawkins/Shapely

73626bce8e99b3f251ad874a41d97d2384e734ce

[ "BSD-3-Clause" ]

null

""" When a "context" passed to shape/asShape has a coordinate which is missing a dimension we should raise a descriptive error. When we use mixed dimensions in a WKT geometry, the parser strips any dimension which is not present in every coordinate. """ import pytest from shapely import wkt from shapely.geometry import shape, LineString, Polygon geojson_cases = [ {"type": "LineString", "coordinates": [[1, 1, 1], [2, 2]]}, # Specific test case from #869 {"type": "Polygon", "coordinates": [[[55.12916764533149, 24.980385694214384, 2.5], [55.13098248044217, 24.979828079961905], [55.13966519231666, 24.97801442415322], [55.13966563924936, 24.97801442415322], [55.14139286840762, 24.982307444496097], [55.14169331277646, 24.983717465495562], [55.14203489144224, 24.985419446276566, 2.5], [55.14180327151276, 24.98428602667792, 2.5], [55.14170091915952, 24.984242720177235, 2.5], [55.14122966992623, 24.984954809433702, 2.5], [55.14134021791831, 24.985473928648396, 2.5], [55.141405876161286, 24.986090184809793, 2.5], [55.141361358941225, 24.986138101357326, 2.5], [55.14093322994411, 24.986218753894093, 2.5], [55.140897653420964, 24.986214283545635, 2.5], [55.14095492976058, 24.9863027591922, 2.5], [55.140900447388745, 24.98628436557094, 2.5], [55.140867059473706, 24.98628869622101, 2.5], [55.14089155325796, 24.986402364143782, 2.5], [55.14090938808566, 24.986479011993385, 2.5], [55.140943893587824, 24.986471188883584, 2.5], [55.1410161176551, 24.9864174050037, 2.5], [55.140996932409635, 24.986521806266644, 2.5], [55.14163554031332, 24.986910400619593, 2.5], [55.14095781686062, 24.987033474900578, 2.5], [55.14058258698692, 24.98693261266349, 2.5], [55.14032624044253, 24.98747538747211, 2.5], [55.14007240846915, 24.988001119077232, 2.5], [55.14013122149105, 24.98831115636925, 2.5], [55.13991827457961, 24.98834356639557, 2.5], [55.139779460946755, 24.988254625087706, 2.5], [55.13974742344948, 24.988261377176524, 2.5], [55.139515198160304, 24.98841811876934, 2.5], [55.13903617238334, 24.98817914139135, 2.5], [55.1391330764994, 24.988660542040925, 2.5], [55.13914369357698, 24.989438289540374, 2.5], [55.136431216517785, 24.98966711550207, 2.0], [55.13659028641709, 24.99041706302204, 2.0], [55.1355852030721, 24.990933481401207, 2.5], [55.13535549235394, 24.99110470506038, 2.5], [55.13512578163577, 24.99127592871955, 2.5], [55.129969653784556, 24.991440074326995, 2.5], [55.130221623112746, 24.988070688875112, 2.5], [55.130451333830905, 24.98789946521594, 2.5], [55.13089208224919, 24.98742639990359, 2.5], [55.132177586827666, 24.989003408454433, 2.5], [55.13238862452779, 24.988701566801254, 2.5], [55.132482594977674, 24.988501518707757, 2.5], [55.132525994610624, 24.988048802794115, 2.5], [55.13249018525683, 24.987180623870653, 2.5], [55.13253358488978, 24.986727907957015, 2.5], [55.1322761673244, 24.985827132742713, 2.5], [55.13163341503516, 24.98503862846729, 2.5], [55.131514764536504, 24.984469124700183, 2.5], [55.131275600894, 24.983796337257242, 2.0], [55.13066865795855, 24.98387601190528, 2.0], [55.13026930682963, 24.981537228037503, 2.0], [55.130260412698846, 24.981495691049748, 2.0], [55.13025151856806, 24.981454154061993, 2.0], [55.13022925995803, 24.98096497686874, 2.5], [55.12984453059386, 24.9804285816199, 2.5], [55.129998291954365, 24.98021419115843, 2.5], [55.12916764533149, 24.980385694214384, 2.5]]]}, ] direct_cases = [ (LineString, [[[0, 0, 0], [1, 1]]]), (Polygon, [[[0, 0, 0], [1, 1, 0], [1, 1], [0, 1, 0], [0, 0, 0]]]), # Specific test case from #869 (Polygon, [[[55.12916764533149, 24.980385694214384, 2.5], [55.13098248044217, 24.979828079961905], [55.13966519231666, 24.97801442415322], [55.13966563924936, 24.97801442415322], [55.14139286840762, 24.982307444496097], [55.14169331277646, 24.983717465495562], [55.14203489144224, 24.985419446276566, 2.5], [55.14180327151276, 24.98428602667792, 2.5], [55.14170091915952, 24.984242720177235, 2.5], [55.14122966992623, 24.984954809433702, 2.5], [55.14134021791831, 24.985473928648396, 2.5], [55.141405876161286, 24.986090184809793, 2.5], [55.141361358941225, 24.986138101357326, 2.5], [55.14093322994411, 24.986218753894093, 2.5], [55.140897653420964, 24.986214283545635, 2.5], [55.14095492976058, 24.9863027591922, 2.5], [55.140900447388745, 24.98628436557094, 2.5], [55.140867059473706, 24.98628869622101, 2.5], [55.14089155325796, 24.986402364143782, 2.5], [55.14090938808566, 24.986479011993385, 2.5], [55.140943893587824, 24.986471188883584, 2.5], [55.1410161176551, 24.9864174050037, 2.5], [55.140996932409635, 24.986521806266644, 2.5], [55.14163554031332, 24.986910400619593, 2.5], [55.14095781686062, 24.987033474900578, 2.5], [55.14058258698692, 24.98693261266349, 2.5], [55.14032624044253, 24.98747538747211, 2.5], [55.14007240846915, 24.988001119077232, 2.5], [55.14013122149105, 24.98831115636925, 2.5], [55.13991827457961, 24.98834356639557, 2.5], [55.139779460946755, 24.988254625087706, 2.5], [55.13974742344948, 24.988261377176524, 2.5], [55.139515198160304, 24.98841811876934, 2.5], [55.13903617238334, 24.98817914139135, 2.5], [55.1391330764994, 24.988660542040925, 2.5], [55.13914369357698, 24.989438289540374, 2.5], [55.136431216517785, 24.98966711550207, 2.0], [55.13659028641709, 24.99041706302204, 2.0], [55.1355852030721, 24.990933481401207, 2.5], [55.13535549235394, 24.99110470506038, 2.5], [55.13512578163577, 24.99127592871955, 2.5], [55.129969653784556, 24.991440074326995, 2.5], [55.130221623112746, 24.988070688875112, 2.5], [55.130451333830905, 24.98789946521594, 2.5], [55.13089208224919, 24.98742639990359, 2.5], [55.132177586827666, 24.989003408454433, 2.5], [55.13238862452779, 24.988701566801254, 2.5], [55.132482594977674, 24.988501518707757, 2.5], [55.132525994610624, 24.988048802794115, 2.5], [55.13249018525683, 24.987180623870653, 2.5], [55.13253358488978, 24.986727907957015, 2.5], [55.1322761673244, 24.985827132742713, 2.5], [55.13163341503516, 24.98503862846729, 2.5], [55.131514764536504, 24.984469124700183, 2.5], [55.131275600894, 24.983796337257242, 2.0], [55.13066865795855, 24.98387601190528, 2.0], [55.13026930682963, 24.981537228037503, 2.0], [55.130260412698846, 24.981495691049748, 2.0], [55.13025151856806, 24.981454154061993, 2.0], [55.13022925995803, 24.98096497686874, 2.5], [55.12984453059386, 24.9804285816199, 2.5], [55.129998291954365, 24.98021419115843, 2.5], [55.12916764533149, 24.980385694214384, 2.5]]]), ] wkt_cases = [ ('LINESTRING (1 1 1, 2 2)', 'LINESTRING (1.0000000000000000 1.0000000000000000, 2.0000000000000000 2.0000000000000000)'), ('POLYGON ((0 0 0, 1 0 0, 1 1, 0 1 0, 0 0 0))', 'POLYGON ((0.0000000000000000 0.0000000000000000, 1.0000000000000000 0.0000000000000000, 1.0000000000000000 1.0000000000000000, 0.0000000000000000 1.0000000000000000, 0.0000000000000000 0.0000000000000000))') ] @pytest.mark.parametrize('geojson', geojson_cases) def test_create_from_geojson(geojson): with pytest.raises(ValueError) as exc: wkt = shape(geojson).wkt assert exc.match("Inconsistent coordinate dimensionality") @pytest.mark.parametrize('constructor, args', direct_cases) def test_create_directly(constructor, args): with pytest.raises(ValueError) as exc: geom = constructor(*args) assert exc.match("Inconsistent coordinate dimensionality") @pytest.mark.parametrize('wkt_geom,expected', wkt_cases) def test_create_from_wkt(wkt_geom, expected): geom = wkt.loads(wkt_geom) assert geom.wkt == expected

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null

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10

90f3b675a66ee395237b0cbd6c262be39514aed5

147

py

Python

app/main_page/views.py

JONGSKY/patent_search

0892663d7332132da3713a846ff5a37ed2c51536

[ "MIT" ]

3

2020-12-14T14:06:04.000Z

2020-12-29T02:22:28.000Z

app/main_page/views.py

JONGSKY/patent_search

0892663d7332132da3713a846ff5a37ed2c51536

[ "MIT" ]

5

2020-11-25T08:47:24.000Z

2020-12-18T09:07:17.000Z

app/main_page/views.py

JONGSKY/patent_search

0892663d7332132da3713a846ff5a37ed2c51536

[ "MIT" ]

2

2020-11-24T10:09:18.000Z

2021-04-28T15:59:15.000Z

from django.shortcuts import render # Create your views here. def main_page(request): return render(request, 'main_page/main_page.html')

24.5

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293961e5ab195bca63050351c25bf58627a6c75b

1,527

py

Python

tests/test_model.py

cbbruss/frustanet

8b08470ba3165012b58d9424ea985895e1324c26

[ "Unlicense", "MIT" ]

null

tests/test_model.py

cbbruss/frustanet

8b08470ba3165012b58d9424ea985895e1324c26

[ "Unlicense", "MIT" ]

null

tests/test_model.py

cbbruss/frustanet

8b08470ba3165012b58d9424ea985895e1324c26

[ "Unlicense", "MIT" ]

null

# Testing Model import torch import numpy as np from frustanet.model import FrustaNetRegression # Tests with just linear model def test_forward(): net = FrustaNetRegression(n_features=10) x = torch.randn(2, 10) out = net(x) assert out[0].shape[1] == 1 def test_training_step(): net = FrustaNetRegression(n_features=10) x = torch.randn(2, 10) y = torch.randn(2, 1) loss = net.training_step((x, y), 0) assert loss > 0 def test_validation_step(): net = FrustaNetRegression(n_features=10) x = torch.randn(2, 10) y = torch.randn(2, 1) loss = net.validation_step((x, y), 0) print(loss) assert loss > 0 # Tests with non-linear model def test_forward_nonlinear(): net = FrustaNetRegression(n_features=10, n_estimators=5) x = torch.randn(2, 10) out = net(x) assert out[0].shape[1] == 1 def test_training_step_nonlinear(): net = FrustaNetRegression(n_features=10, n_estimators=5) x = torch.randn(2, 10) y = torch.randn(2, 1) loss = net.training_step((x, y), 0) assert loss > 0 def test_validation_step_nonlinear(): net = FrustaNetRegression(n_features=10, n_estimators=5) x = torch.randn(2, 10) y = torch.randn(2, 1) loss = net.validation_step((x, y), 0) assert loss > 0 def test_predict(): net = FrustaNetRegression(n_features=10, n_estimators=5) x = torch.randn(2, 10) y = torch.randn(2, 1) preds = net.predict(x) mse = torch.mean((preds - y) ** 2) assert len(preds) == 2 assert mse

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7

2965d4b4dab84814440b0c57c3e0be9eece50537

6,673

py

Python

users/tests.py

jtkim03/Find-a-QT

a330c95f76bcc148febf39284c07d3ac4f909b4e

[ "BSD-3-Clause" ]

null

users/tests.py

jtkim03/Find-a-QT

a330c95f76bcc148febf39284c07d3ac4f909b4e

[ "BSD-3-Clause" ]

9

2021-03-30T13:42:35.000Z

2022-03-12T00:36:19.000Z

users/tests.py

jtkim03/Find-a-QT

a330c95f76bcc148febf39284c07d3ac4f909b4e

[ "BSD-3-Clause" ]

null

from django.test import TestCase from .models import Profile, Like, Dislike from django.contrib.auth.models import User # Create your tests here. """ Tests if updating a Profile works correctly """ class ChangeProfileTest(TestCase): def setUp(self): self.test_user = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') def test_str(self): test_user = self.test_user test_profile = Profile.objects.get(user=test_user) test_profile.bio = "I am a student at the University of Virginia" test_profile.save() self.assertEqual(test_profile.bio, "I am a student at the University of Virginia") """ Tests the string function of the Like model """ class LikeStrTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two test_like, created = Like.objects.get_or_create(current_user=test_user_one) test_like.users.add(test_user_two) test_like_dos, created = Like.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_like_dos), "JoshD is liked by 1 users!") """ Tests the give_like function of the Dislike model """ class GiveLikeTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two Like.give_like(test_user_one, test_user_two) test_like, created = Like.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_like), "JoshD is liked by 1 users!") """ Tests the string function of the Dislike model """ class DislikeStrTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two test_dislike, created = Dislike.objects.get_or_create(current_user=test_user_one) test_dislike.users.add(test_user_two) test_dislike_dos, created = Dislike.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_dislike_dos), "JoshD is disliked by 1 users!") """ Tests the give_dislike function of the Dislike model """ class GiveDislikeTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two Dislike.give_dislike(test_user_one, test_user_two) test_dislike, created = Dislike.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_dislike), "JoshD is disliked by 1 users!") """ Tests after liking another User, if there had been a previous dislike from current user to the liked user, the dislike is removed.""" class RemoveDislikeIfLikeTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two Dislike.give_dislike(test_user_one, test_user_two) Like.give_like(test_user_one, test_user_two) test_dislike, created = Dislike.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_dislike), "JoshD is disliked by 0 users!") """ Tests after disliking another User, if there had been a previous like from current user to the disliked user, the like is removed.""" class RemoveLikeIfDislikeTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two Like.give_like(test_user_one, test_user_two) Dislike.give_dislike(test_user_one, test_user_two) test_like, created = Like.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_like), "JoshD is liked by 0 users!") """ Tests if no more than one like can be made from one user to another """ class OnlyOneLikeTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two Like.give_like(test_user_one, test_user_two) Like.give_like(test_user_one, test_user_two) Like.give_like(test_user_one, test_user_two) Like.give_like(test_user_one, test_user_two) Like.give_like(test_user_one, test_user_two) test_like, created = Like.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_like), "JoshD is liked by 1 users!") """ Tests if no more than one dislike can be made from one user to another """ class OnlyOneDislikeTest(TestCase): def setUp(self): self.test_user_one = User.objects.create_user('JohnD', 'johnd@mail.com', 'johnpassword') self.test_user_two = User.objects.create_user('JoshD', 'joshd@mail.com', 'joshpassword') def test_str(self): test_user_one = self.test_user_one test_user_two = self.test_user_two Dislike.give_dislike(test_user_one, test_user_two) Dislike.give_dislike(test_user_one, test_user_two) Dislike.give_dislike(test_user_one, test_user_two) Dislike.give_dislike(test_user_one, test_user_two) Dislike.give_dislike(test_user_one, test_user_two) test_dislike, created = Dislike.objects.get_or_create(current_user=test_user_two) self.assertEqual(str(test_dislike), "JoshD is disliked by 1 users!")

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null

0

1

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8

463205a22e0f79a420196e3a5a9a4536c4ab25c9

5,225

py

Python

metagame_character_results.py

RPGLite/analysis

13f683beb26d77c6f7ae7de54808b0cb5acb9eee

[ "MIT" ]

null

metagame_character_results.py

RPGLite/analysis

13f683beb26d77c6f7ae7de54808b0cb5acb9eee

[ "MIT" ]

1

2020-11-27T14:38:33.000Z

metagame_character_results.py

RPGLite/analysis

13f683beb26d77c6f7ae7de54808b0cb5acb9eee

[ "MIT" ]

null

from helper_fns import * import numpy as np import matplotlib.pyplot as plt import math, pymongo from bson import objectid results = np.array([[0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0]]) for g in db.completed_games.find({"winner":{"$exists":True}, "balance_code":"1.2"}): if g["winner"] == 1: results[chars.index(g["p1c1"][0])][chars.index(g["p2c1"][0])] += 1 results[chars.index(g["p1c1"][0])][chars.index(g["p2c2"][0])] += 1 results[chars.index(g["p1c2"][0])][chars.index(g["p2c1"][0])] += 1 results[chars.index(g["p1c2"][0])][chars.index(g["p2c2"][0])] += 1 else: results[chars.index(g["p2c1"][0])][chars.index(g["p1c1"][0])] += 1 results[chars.index(g["p2c1"][0])][chars.index(g["p1c2"][0])] += 1 results[chars.index(g["p2c2"][0])][chars.index(g["p1c1"][0])] += 1 results[chars.index(g["p2c2"][0])][chars.index(g["p1c2"][0])] += 1 ratios = np.array([[.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0]]) for r in range(len(results)): for c in range(len(results[r])): ratios[r][c] = results[r][c] / (results[r][c] + results[c][r]) fig, (ax,ax2) = plt.subplots(1,2, sharey=True, figsize=(16,10), gridspec_kw={'width_ratios': [3, 1]}) im = ax.imshow(ratios) ax.set_xticks(np.arange(8)) ax.set_yticks(np.arange(8)) ax.set_yticklabels([full_name(c) for c in chars]) ax.set_xticklabels(chars) for i in range(8): for j in range(8): text = ax.text(j, i, "{:.2f}".format(ratios[i, j]), ha="center", va="center", color="w" if ratios[i,j] < 0.51 else "b") times_played = np.array([[0],[0],[0],[0],[0],[0],[0],[0]]) for c in range(8): times_played[c] = [sum(results[c])] ax.set_title("s2-matchups") ax2.set_title("s2-times played") ax2.set_xticks([0]) # turn xticks off for popularity ax2.set_xticklabels(["# played"]) im2 = ax2.imshow(times_played) for j in range(8): text = ax2.text(0, j, times_played[j, 0], ha="center", va="center", color="w" if times_played[j,0] < np.average([times_played[x][0] for x in range(8)]) else "b") results = np.array([[0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0]]) for g in db.completed_games.find({"winner":{"$exists":True}, "balance_code":{"$exists":False}}): if g["winner"] == 1: results[chars.index(g["p1c1"][0])][chars.index(g["p2c1"][0])] += 1 results[chars.index(g["p1c1"][0])][chars.index(g["p2c2"][0])] += 1 results[chars.index(g["p1c2"][0])][chars.index(g["p2c1"][0])] += 1 results[chars.index(g["p1c2"][0])][chars.index(g["p2c2"][0])] += 1 else: results[chars.index(g["p2c1"][0])][chars.index(g["p1c1"][0])] += 1 results[chars.index(g["p2c1"][0])][chars.index(g["p1c2"][0])] += 1 results[chars.index(g["p2c2"][0])][chars.index(g["p1c1"][0])] += 1 results[chars.index(g["p2c2"][0])][chars.index(g["p1c2"][0])] += 1 ratios = np.array([[.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0], [.0,.0,.0,.0,.0,.0,.0,.0]]) for r in range(len(results)): for c in range(len(results[r])): ratios[r][c] = results[r][c] / (results[r][c] + results[c][r]) fig2, (_ax,_ax2) = plt.subplots(1,2, sharey=True, figsize=(16,10), gridspec_kw={'width_ratios': [3, 1]}) im = _ax.imshow(ratios) _ax.set_xticks(np.arange(8)) _ax.set_yticks(np.arange(8)) _ax.set_yticklabels([full_name(c) for c in chars]) _ax.set_xticklabels(chars) for i in range(8): for j in range(8): text = _ax.text(j, i, "{:.2f}".format(ratios[i, j]), ha="center", va="center", color="w" if ratios[i,j] < 0.51 else "b") times_played = np.array([[0],[0],[0],[0],[0],[0],[0],[0]]) for c in range(8): times_played[c] = [sum(results[c])] _ax.set_title("s1-matchups") _ax2.set_title("s1-times played") _ax2.set_xticks([0]) # turn xticks off for popularity _ax2.set_xticklabels(["# played"]) im2 = _ax2.imshow(times_played) for j in range(8): text = _ax2.text(0, j, times_played[j, 0], ha="center", va="center", color="w" if times_played[j,0] < np.average([times_played[x][0] for x in range(8)]) else "b") plt.tight_layout() plt.show()

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0.045872

0

null

1

0

null

0

9

4672efe88ee10b0cf6d782d73fdeca994d616001

6,848

py

Python

exercises/practice/grade-school/grade_school_test.py

tamireinhorn/python

027e94759dd3281b0633c82171e377a28dc5a92e

[ "MIT" ]

1,177

2017-06-21T20:24:06.000Z

2022-03-29T02:30:55.000Z

exercises/practice/grade-school/grade_school_test.py

tamireinhorn/python

027e94759dd3281b0633c82171e377a28dc5a92e

[ "MIT" ]

1,890

2017-06-18T20:06:10.000Z

2022-03-31T18:35:51.000Z

exercises/practice/grade-school/grade_school_test.py

stigjb-forks/exercism-python

cfb620d1603eb9b08511f96f00f872c67cac0d05

[ "MIT" ]

1,095

2017-06-26T23:06:19.000Z

2022-03-29T03:25:38.000Z

import unittest from grade_school import ( School, ) # Tests adapted from `problem-specifications//canonical-data.json` class GradeSchoolTest(unittest.TestCase): def test_roster_is_empty_when_no_student_is_added(self): school = School() expected = [] self.assertEqual(school.roster(), expected) def test_add_a_student(self): school = School() school.add_student(name="Aimee", grade=2) expected = [True] self.assertEqual(school.added(), expected) def test_student_is_added_to_the_roster(self): school = School() school.add_student(name="Aimee", grade=2) expected = ["Aimee"] self.assertEqual(school.roster(), expected) def test_adding_multiple_students_in_the_same_grade_in_the_roster(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="Paul", grade=2) expected = [True, True, True] self.assertEqual(school.added(), expected) def test_multiple_students_in_the_same_grade_are_added_to_the_roster(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="Paul", grade=2) expected = ["Blair", "James", "Paul"] self.assertEqual(school.roster(), expected) def test_cannot_add_student_to_same_grade_in_the_roster_more_than_once(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=2) school.add_student(name="Paul", grade=2) expected = [True, True, False, True] self.assertEqual(school.added(), expected) def test_student_not_added_to_same_grade_in_the_roster_more_than_once(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=2) school.add_student(name="Paul", grade=2) expected = ["Blair", "James", "Paul"] self.assertEqual(school.roster(), expected) def test_adding_students_in_multiple_grades(self): school = School() school.add_student(name="Chelsea", grade=3) school.add_student(name="Logan", grade=7) expected = [True, True] self.assertEqual(school.added(), expected) def test_students_in_multiple_grades_are_added_to_the_roster(self): school = School() school.add_student(name="Chelsea", grade=3) school.add_student(name="Logan", grade=7) expected = ["Chelsea", "Logan"] self.assertEqual(school.roster(), expected) def test_cannot_add_same_student_to_multiple_grades_in_the_roster(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=3) school.add_student(name="Paul", grade=3) expected = [True, True, False, True] self.assertEqual(school.added(), expected) def test_student_not_added_to_multiple_grades_in_the_roster(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=3) school.add_student(name="Paul", grade=3) expected = ["Blair", "James", "Paul"] self.assertEqual(school.roster(), expected) def test_students_are_sorted_by_grades_in_the_roster(self): school = School() school.add_student(name="Jim", grade=3) school.add_student(name="Peter", grade=2) school.add_student(name="Anna", grade=1) expected = ["Anna", "Peter", "Jim"] self.assertEqual(school.roster(), expected) def test_students_are_sorted_by_name_in_the_roster(self): school = School() school.add_student(name="Peter", grade=2) school.add_student(name="Zoe", grade=2) school.add_student(name="Alex", grade=2) expected = ["Alex", "Peter", "Zoe"] self.assertEqual(school.roster(), expected) def test_students_are_sorted_by_grades_and_then_by_name_in_the_roster(self): school = School() school.add_student(name="Peter", grade=2) school.add_student(name="Anna", grade=1) school.add_student(name="Barb", grade=1) school.add_student(name="Zoe", grade=2) school.add_student(name="Alex", grade=2) school.add_student(name="Jim", grade=3) school.add_student(name="Charlie", grade=1) expected = ["Anna", "Barb", "Charlie", "Alex", "Peter", "Zoe", "Jim"] self.assertEqual(school.roster(), expected) def test_grade_is_empty_if_no_students_in_the_roster(self): school = School() expected = [] self.assertEqual(school.grade(1), expected) def test_grade_is_empty_if_no_students_in_that_grade(self): school = School() school.add_student(name="Peter", grade=2) school.add_student(name="Zoe", grade=2) school.add_student(name="Alex", grade=2) school.add_student(name="Jim", grade=3) expected = [] self.assertEqual(school.grade(1), expected) def test_student_not_added_to_same_grade_more_than_once(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=2) school.add_student(name="Paul", grade=2) expected = ["Blair", "James", "Paul"] self.assertEqual(school.grade(2), expected) def test_student_not_added_to_multiple_grades(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=3) school.add_student(name="Paul", grade=3) expected = ["Blair", "James"] self.assertEqual(school.grade(2), expected) def test_student_not_added_to_other_grade_for_multiple_grades(self): school = School() school.add_student(name="Blair", grade=2) school.add_student(name="James", grade=2) school.add_student(name="James", grade=3) school.add_student(name="Paul", grade=3) expected = ["Paul"] self.assertEqual(school.grade(3), expected) def test_students_are_sorted_by_name_in_a_grade(self): school = School() school.add_student(name="Franklin", grade=5) school.add_student(name="Bradley", grade=5) school.add_student(name="Jeff", grade=1) expected = ["Bradley", "Franklin"] self.assertEqual(school.grade(5), expected)

38.256983

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885

6,848

4.815819

0.084746

0.143125

0.225246

0.281558

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0.776031

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1

0

1

0

null

0

9

d3b48b8fc813c976f77459ecd451ddba7b5ad966

25,501

py

Python

eval.py

WeiChengTseng/DL_final_project

bbe61592a3d85c00731e254edcd1108075c49b6f

[ "Apache-2.0" ]

7

2019-05-09T13:43:19.000Z

2022-01-11T06:00:05.000Z

eval.py

WeiChengTseng/DL_final_project

bbe61592a3d85c00731e254edcd1108075c49b6f

[ "Apache-2.0" ]

null

eval.py

WeiChengTseng/DL_final_project

bbe61592a3d85c00731e254edcd1108075c49b6f

[ "Apache-2.0" ]

4

2019-05-10T16:57:37.000Z

2019-06-05T14:43:27.000Z

import time import matplotlib import time matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from tensorboardX import SummaryWriter from a2c.models import AtariCNN, A2C, A2CLarge from a2c.envs import make_env, RenderSubprocVecEnv from a2c.train_multi import train from ppo.PPO import PPO from maac.attention_sac import AttentionSAC from maac_double.attention_sac import AttentionSACDouble from env_exp import SocTwoEnv def parse_double(obs): parsed_obs = [None] * 4 parsed_obs[0] = obs[0][:8] parsed_obs[2] = obs[0][8:] parsed_obs[1] = obs[1][:8] parsed_obs[3] = obs[1][8:] return np.array(parsed_obs) def eval_with_random_agent(net_striker, net_goalie, env, device, eval_epsoid=40): obs_striker, obs_goalie = env.reset('team') # time.sleep(5) epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) policies_striker, values_striker = net_striker(obs_striker) policies_goalie, values_goalie = net_goalie(obs_goalie) probs_striker = F.softmax(policies_striker, dim=-1) probs_goalie = F.softmax(policies_goalie, dim=-1) actions_striker = probs_striker.multinomial(1).data actions_goalie = probs_goalie.multinomial(1).data actions_striker = torch.cat([ torch.LongTensor(np.random.randint(0, 7, (8, 1))), actions_striker[8:], ], dim=0) actions_goalie = torch.cat([ torch.LongTensor(np.random.randint(0, 5, (8, 1))), actions_goalie[8:], ], dim=0) # actions_striker = torch.cat([ # actions_striker[:8], # torch.LongTensor(np.random.randint(0, 7, (8, 1))) # ], # dim=0) # actions_goalie = torch.cat([ # actions_goalie[:8], # torch.LongTensor(np.random.randint(0, 5, (8, 1))) # ], # dim=0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, 'team') obs_striker, obs_goalie = obs rewards_striker = torch.from_numpy( rewards[0]).float().unsqueeze(1).to(device) rewards_goalie = torch.from_numpy( rewards[1]).float().unsqueeze(1).to(device) for i in np.argwhere(dones[0]).flatten(): epsoid += 1 return def eval_self_complete(net_striker, net_goalie, env, device, order='team', eval_epsoid=40): obs_striker, obs_goalie = env.reset(order) epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) policies_striker, values_striker = net_striker(obs_striker) policies_goalie, values_goalie = net_goalie(obs_goalie) probs_striker = F.softmax(policies_striker, dim=-1) probs_goalie = F.softmax(policies_goalie, dim=-1) actions_striker = probs_striker.multinomial(1).data actions_goalie = probs_goalie.multinomial(1).data obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs rewards_striker = torch.from_numpy( rewards[0]).float().unsqueeze(1).to(device) rewards_goalie = torch.from_numpy( rewards[1]).float().unsqueeze(1).to(device) for i in np.argwhere(dones[0]).flatten(): epsoid += 1 return def eval_self_striker_goalie(net_striker, net_goalie, env, device, order='team', eval_epsoid=40): obs_striker, obs_goalie = env.reset(order) epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) policies_striker, values_striker = net_striker(obs_striker) policies_goalie, values_goalie = net_goalie(obs_goalie) probs_striker = F.softmax(policies_striker, dim=-1) probs_goalie = F.softmax(policies_goalie, dim=-1) actions_striker = probs_striker.multinomial(1).data actions_goalie = probs_goalie.multinomial(1).data actions_striker = torch.cat([ actions_striker[:8], torch.LongTensor(np.random.randint(0, 7, (8, 1))) ], dim=0) actions_goalie = torch.cat([ torch.LongTensor(np.random.randint(0, 5, (8, 1))), actions_goalie[8:] ], dim=0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs rewards_striker = torch.from_numpy( rewards[0]).float().unsqueeze(1).to(device) rewards_goalie = torch.from_numpy( rewards[1]).float().unsqueeze(1).to(device) for i in np.argwhere(dones[0]).flatten(): epsoid += 1 return def eval_agents_compete(strikers, goalies, env, device, order='team', eval_epsoid=40): obs_striker, obs_goalie = env.reset(order) policies_striker = [None, None] policies_goalie = [None, None] # time.sleep(5) records = [0] * 3 epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) policies_striker[0], _ = strikers[0](obs_striker[:8]) policies_goalie[0], _ = goalies[0](obs_goalie[:8]) policies_striker[1], _ = strikers[1](obs_striker[8:]) policies_goalie[1], _ = goalies[1](obs_goalie[8:]) policy_strikers = torch.cat(policies_striker, dim=0) policy_goalies = torch.cat(policies_goalie, dim=0) probs_striker = F.softmax(policy_strikers, dim=-1) probs_goalie = F.softmax(policy_goalies, dim=-1) actions_striker = probs_striker.multinomial(1).data actions_goalie = probs_goalie.multinomial(1).data obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs rewards_striker = torch.from_numpy( rewards[0]).float().unsqueeze(1).to(device) rewards_goalie = torch.from_numpy( rewards[1]).float().unsqueeze(1).to(device) for i in np.argwhere(dones[0][:8]).flatten(): epsoid += 1 if rewards[1][i + 8] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 print(records) return def eval_compete_acppo(strikers, goalies, env, device, order='team', eval_epsoid=40): # env.train() obs_striker, obs_goalie = env.reset(order) policies_striker = [None, None] policies_goalie = [None, None] # time.sleep(5) records = [0] * 3 epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) policies_striker[0], _ = strikers[0](obs_striker[:8]) policies_goalie[0], _ = goalies[0](obs_goalie[:8]) # policies_striker[1], _ = strikers[1](obs_striker[8:]) # policies_goalie[1], _ = goalies[1](obs_goalie[8:]) action_ppo_striker = strikers[1].act(obs_striker[8:]) action_ppo_goalie = goalies[1].act(obs_goalie[8:]) policy_strikers = policies_striker[0] policy_goalies = policies_goalie[0] probs_striker = F.softmax(policy_strikers, dim=-1) probs_goalie = F.softmax(policy_goalies, dim=-1) actions_striker = probs_striker.multinomial(1).data actions_goalie = probs_goalie.multinomial(1).data # print(actions_striker) actions_striker = torch.cat((actions_striker, action_ppo_striker), dim=0) actions_goalie = torch.cat((actions_goalie, action_ppo_goalie), dim=0) # random_act_striker = torch.LongTensor(np.random.randint(7, size=(8,1))) # random_act_goalie = torch.LongTensor(np.random.randint(5, size=(8,1))) # actions_striker = torch.cat((random_act_striker, action_ppo_striker), dim=0) # actions_goalie = torch.cat((random_act_goalie, action_ppo_goalie), dim=0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs rewards_striker = torch.from_numpy( rewards[0]).float().unsqueeze(1).to(device) rewards_goalie = torch.from_numpy( rewards[1]).float().unsqueeze(1).to(device) for i in np.argwhere(dones[0][:8]).flatten(): epsoid += 1 if rewards[1][i + 8] < 0: records[0] += 1 elif rewards[1][i] < 0: records[1] += 1 else: records[2] += 1 print(records) return def eval_agents_compete_(strikers, goalies, env, device, order='team', eval_epsoid=40): obs_striker, obs_goalie = env.reset(order) actions_strikers = [None, None] actions_goalies = [None, None] records = [0, 0, 0] epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) actions_strikers[0], _ = strikers[0](obs_striker[:8]) actions_goalies[0], _ = goalies[0](obs_goalie[:8]) actions_strikers[1], _ = strikers[1](obs_striker[8:]) actions_goalies[1], _ = goalies[1](obs_goalie[8:]) actions_striker = torch.cat(actions_strikers, 0) actions_goalie = torch.cat(actions_goalies, 0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs for i in np.argwhere(dones[0]).flatten(): epsoid += 1 if rewards[1][i] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 return def eval_maac_with_random(model_path, env, order='team', eval_epsoid=40): maac = AttentionSAC.init_from_save(model_path) obs_striker, obs_goalie = env.reset(order) actions_strikers = [None, None] actions_goalies = [None, None] records = [0, 0, 0] epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) action_maac = maac.step((obs_striker, obs_goalie), explore=True) # print(action_maac) actions_strikers[0] = torch.argmax(action_maac[0][:8], dim=-1) actions_goalies[0] = torch.argmax(action_maac[1][:8], dim=-1) # print(actions_strikers[0]) actions_strikers[1] = torch.randint(7, size=(8, )) actions_goalies[1] = torch.randint(5, size=(8, )) # print(actions_strikers) actions_striker = torch.cat(actions_strikers, 0) actions_goalie = torch.cat(actions_goalies, 0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs for i in np.argwhere(dones[0]).flatten(): epsoid += 1 if rewards[1][i] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 return def eval_maac_self_compete(model_path, env, order='team', eval_epsoid=40): maac = AttentionSAC.init_from_save(model_path) obs_striker, obs_goalie = env.reset(order) actions_strikers = [None, None] actions_goalies = [None, None] records = [0, 0, 0] epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) action_maac = maac.step((obs_striker, obs_goalie), explore=True) # print(action_maac) actions_strikers[0] = torch.argmax(action_maac[0], dim=-1) actions_goalies[0] = torch.argmax(action_maac[1], dim=-1) # print(actions_strikers[0]) # print(actions_strikers) # actions_striker = torch.cat(actions_strikers, 0) # actions_goalie = torch.cat(actions_goalies, 0) obs, rewards, dones, _ = env.step(actions_strikers[0], actions_goalies[0], order) obs_striker, obs_goalie = obs for i in np.argwhere(dones[0]).flatten(): epsoid += 1 if rewards[1][i] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 return def eval_maacac_compete(model_path, strikers, goalies, env, order='team', eval_epsoid=200): maac = AttentionSAC.init_from_save(model_path) obs_striker, obs_goalie = env.reset(order) actions_strikers = [None, None] actions_goalies = [None, None] records = [0, 0, 0] epsoid = 0 while epsoid < eval_epsoid: obs_striker = Variable( torch.from_numpy(obs_striker).float()).to(device) obs_goalie = Variable(torch.from_numpy(obs_goalie).float()).to(device) action_maac = maac.step((obs_striker, obs_goalie), explore=True) # print(action_maac) actions_strikers[0] = torch.argmax(action_maac[0][:8], dim=-1) actions_goalies[0] = torch.argmax(action_maac[1][:8], dim=-1) # print(actions_strikers[0]) policy_strikers, _ = strikers(obs_striker[8:]) policy_goalies, _ = goalies(obs_goalie[8:]) probs_striker = F.softmax(policy_strikers, dim=-1) probs_goalie = F.softmax(policy_goalies, dim=-1) actions_strikers[1] = probs_striker.multinomial(1).data.flatten() actions_goalies[1] = probs_goalie.multinomial(1).data.flatten() # print(actions_strikers) actions_striker = torch.cat(actions_strikers, 0) actions_goalie = torch.cat(actions_goalies, 0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie = obs for i in np.argwhere(dones[0]).flatten(): epsoid += 1 if rewards[1][i] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 return def eval_maacdoubleac_compete(model_path, strikers, goalies, env, order='team', eval_epsoid=200): maac = AttentionSACDouble.init_from_save(model_path) # obs_striker, obs_goalie = env.reset(order) obs_striker, obs_goalie, obs_striker2, obs_goalie2 = parse_double( env.reset(order)) actions_strikers = [None, None] actions_goalies = [None, None] records = [0, 0, 0] epsoid = 0 while epsoid < eval_epsoid: obs_striker = (torch.from_numpy(obs_striker).float()).to(device) obs_goalie = (torch.from_numpy(obs_goalie).float()).to(device) obs_striker2 = (torch.from_numpy(obs_striker2).float()).to(device) obs_goalie2 = (torch.from_numpy(obs_goalie2).float()).to(device) action_maac = maac.step( (obs_striker, obs_goalie, obs_striker2, obs_goalie2), explore=True) # print(action_maac) actions_strikers[0] = torch.argmax(action_maac[0], dim=-1) actions_goalies[0] = torch.argmax(action_maac[1], dim=-1) # print(actions_strikers[0]) policy_strikers, _ = strikers(obs_striker2[:]) policy_goalies, _ = goalies(obs_goalie2[:]) probs_striker = F.softmax(policy_strikers, dim=-1) probs_goalie = F.softmax(policy_goalies, dim=-1) actions_strikers[1] = probs_striker.multinomial(1).data.flatten() actions_goalies[1] = probs_goalie.multinomial(1).data.flatten() # print(actions_strikers) actions_striker = torch.cat(actions_strikers, 0) actions_goalie = torch.cat(actions_goalies, 0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie, obs_striker2, obs_goalie2 = parse_double(obs) for i in np.argwhere(dones[0]).flatten(): epsoid += 1 if rewards[1][i] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 return def eval_maacdoubleppo_compete(model_path, strikers, goalies, env, order='team', eval_epsoid=200): maac = AttentionSACDouble.init_from_save(model_path) # obs_striker, obs_goalie = env.reset(order) obs_striker, obs_goalie, obs_striker2, obs_goalie2 = parse_double( env.reset(order)) actions_strikers = [None, None] actions_goalies = [None, None] records = [0, 0, 0] epsoid = 0 while epsoid < eval_epsoid: obs_striker = (torch.from_numpy(obs_striker).float()).to(device) obs_goalie = (torch.from_numpy(obs_goalie).float()).to(device) obs_striker2 = (torch.from_numpy(obs_striker2).float()).to(device) obs_goalie2 = (torch.from_numpy(obs_goalie2).float()).to(device) action_maac = maac.step( (obs_striker, obs_goalie, obs_striker2, obs_goalie2), explore=True) # print(action_maac) actions_strikers[0] = torch.argmax(action_maac[0], dim=-1) actions_goalies[0] = torch.argmax(action_maac[1], dim=-1) # print(actions_strikers[0]) # policy_strikers, _ = strikers(obs_striker2[:]) # policy_goalies, _ = goalies(obs_goalie2[:]) # probs_striker = F.softmax(policy_strikers, dim=-1) # probs_goalie = F.softmax(policy_goalies, dim=-1) actions_strikers[1] = strikers.act(obs_striker2).flatten() actions_goalies[1] = goalies.act(obs_goalie2).flatten() # print(actions_strikers) actions_striker = torch.cat(actions_strikers, 0) actions_goalie = torch.cat(actions_goalies, 0) obs, rewards, dones, _ = env.step(actions_striker, actions_goalie, order) obs_striker, obs_goalie, obs_striker2, obs_goalie2 = parse_double(obs) for i in np.argwhere(dones[0]).flatten(): epsoid += 1 if rewards[1][i] < 0: records[0] += 1 elif rewards[0][i] < 0: records[1] += 1 else: records[2] += 1 return if __name__ == '__main__': env_path = './env/macos/SoccerTwosBeta.app' env = SocTwoEnv(env_path, worker_id=0, train_mode=False, render=True) # net_path = './a2c/ckpt/a2c_step20320000.pth' device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") net_path = './a2c/ckpt_reward_shaping/a2c_step39960000.pth' # net_path_large = './a2c/ckpt_rs_large/a2cLarge_step36960000.pth' # net_path_large = './a2c/ckpt_rs_large/a2cLarge_step36960000.pth' net_path_large = './a2c/ckpt_wors_2e/a2cLarge_step39960000.pth' # net_path_large2 = './a2c/ckpt_wors_2e/a2cLarge_step13920000.pth' net_path_large2 = './a2c/ckpt_rs_large/a2cLarge_step36960000.pth' ppo_striker = './ppo/ckpt/PPO_strikerSoccerTwos_9920.pth' ppo_goalie = './ppo/ckpt/PPO_goalieSoccerTwos_9920.pth' # maac_path = './maac/server/model.pt' # maac_path = './maac/dup_policy/model.pt' maacdouble_path = './maac_double/server/model.pt' maacac_path = './maac_ac/server/model.pt' # maac_path = './maac/cedl/model.pt' # maac_path = './maac/cedl_h2/model.pt' # maac_path = './maac/models/maac/run10/model.pt' # maac_path = './maac/models/maac/run14/model.pt' with torch.no_grad(): # policy_striker, policy_goalie = A2C(7).to(device), A2C(5).to(device) policy_striker_large, policy_goalie_large, = A2CLarge(7).to( device), A2CLarge(5).to(device) policy_striker_large2, policy_goalie_large2, = A2CLarge(7).to( device), A2CLarge(5).to(device) ckpt_large = torch.load(net_path_large, map_location=device) policy_striker_large.load_state_dict(ckpt_large['striker_a2c']) policy_goalie_large.load_state_dict(ckpt_large['goalie_a2c']) ckpt_large2 = torch.load(net_path_large2, map_location=device) policy_striker_large2.load_state_dict(ckpt_large2['striker_a2c']) policy_goalie_large2.load_state_dict(ckpt_large2['goalie_a2c']) # ckpt = torch.load(net_path, map_location=device) # policy_striker.load_state_dict(ckpt['striker_a2c']) # policy_goalie.load_state_dict(ckpt['goalie_a2c']) ppo_striker = PPO(112, 7, 64, ckpt_path=ppo_striker) ppo_goalie = PPO(112, 5, 64, ckpt_path=ppo_goalie) policy_striker_large.eval() policy_goalie_large.eval() # policy_striker.eval() # policy_goalie.eval() # eval_with_random_agent(policy_striker, # policy_goalie, # env, # device, # eval_epsoid=100) # eval_with_random_agent(policy_striker_large, # policy_goalie_large, # env, # device, # eval_epsoid=100) # eval_self_striker_goalie(policy_striker_large, # policy_goalie_large, # env, # device, # eval_epsoid=100) # eval_self_complete(policy_striker, policy_goalie, env, device, 'team') # eval_self_complete(policy_striker_large, policy_striker_large, env, # device, 'team') eval_self_complete(policy_striker_large2, policy_striker_large2, env, device, 'team') # eval_agents_compete([policy_striker_large, policy_striker], # [policy_goalie_large, policy_goalie], # env, # device, # order='team', # eval_epsoid=100) # eval_agents_compete([policy_striker_large, policy_striker_large2], # [policy_goalie_large, policy_goalie_large2], # env, # device, # order='team', # eval_epsoid=100) # eval_compete_acppo([policy_striker_large, ppo_striker], # [policy_goalie_large, ppo_goalie], # env, # device, # order='team', # eval_epsoid=100) # eval_maac_with_random(maac_path, env) # eval_maac_self_compete(maac_path, env) # eval_maacac_compete(maac_path, policy_striker_large,policy_goalie_large,env) # eval_maacdoubleac_compete(maacdouble_path, policy_striker_large, # policy_goalie_large, env) # eval_maacdoubleppo_compete(maacdouble_path, ppo_striker, # ppo_goalie, env) pass

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d3b5fe9cbe26215c06afe171fa32acab4a36471b

2,325

py

Python

teuthology/test/test_vps_os_vers_parameter_checking.py

tchaikov/teuthology

bda9cb993f372116c804ea49daefda6b816650d5

[ "MIT" ]

1

2018-05-17T13:02:42.000Z

teuthology/test/test_vps_os_vers_parameter_checking.py

tchaikov/teuthology

bda9cb993f372116c804ea49daefda6b816650d5

[ "MIT" ]

null

teuthology/test/test_vps_os_vers_parameter_checking.py

tchaikov/teuthology

bda9cb993f372116c804ea49daefda6b816650d5

[ "MIT" ]

2

2017-12-21T08:05:49.000Z

2021-04-06T09:23:06.000Z

from .. import lock class Mock: pass class TestVpsOsVersionParamCheck(object): def setup(self): self.fake_ctx = Mock() self.fake_ctx.machine_type = 'vps' self.fake_ctx.num_to_lock = 1 self.fake_ctx.lock = False def test_ubuntu_precise(self): self.fake_ctx.os_type = 'ubuntu' self.fake_ctx.os_version = 'precise' check_value = lock.vps_version_or_type_valid( self.fake_ctx.machine_type, self.fake_ctx.os_type, self.fake_ctx.os_version) assert check_value def test_ubuntu_number(self): self.fake_ctx.os_type = 'ubuntu' self.fake_ctx.os_version = '12.04' check_value = lock.vps_version_or_type_valid( self.fake_ctx.machine_type, self.fake_ctx.os_type, self.fake_ctx.os_version) assert check_value def test_rhel(self): self.fake_ctx.os_type = 'rhel' self.fake_ctx.os_version = '6.5' check_value = lock.vps_version_or_type_valid( self.fake_ctx.machine_type, self.fake_ctx.os_type, self.fake_ctx.os_version) assert check_value def test_mixup(self): self.fake_ctx.os_type = '6.5' self.fake_ctx.os_version = 'rhel' check_value = lock.vps_version_or_type_valid( self.fake_ctx.machine_type, self.fake_ctx.os_type, self.fake_ctx.os_version) assert not check_value def test_bad_type(self): self.fake_ctx.os_type = 'aardvark' self.fake_ctx.os_version = '6.5' check_value = lock.vps_version_or_type_valid( self.fake_ctx.machine_type, self.fake_ctx.os_type, self.fake_ctx.os_version) assert not check_value def test_bad_version(self): self.fake_ctx.os_type = 'rhel' self.fake_ctx.os_version = 'vampire_bat' check_value = lock.vps_version_or_type_valid( self.fake_ctx.machine_type, self.fake_ctx.os_type, self.fake_ctx.os_version) assert not check_value

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null

0

9

d3b9f871778afa863b086bd919e3e7feaf470222

215

py

Python

realtime_api/game/__init__.py

mmartin/ogs_api

a1ad0753d5922b93bbb27c427f8ee68ebc4a23a3

[ "MIT" ]

4

2020-05-01T15:17:21.000Z

2021-07-10T05:49:39.000Z

realtime_api/game/__init__.py

mmartin/ogs_api

a1ad0753d5922b93bbb27c427f8ee68ebc4a23a3

[ "MIT" ]

null

realtime_api/game/__init__.py

mmartin/ogs_api

a1ad0753d5922b93bbb27c427f8ee68ebc4a23a3

[ "MIT" ]

1

2021-02-07T20:33:28.000Z

from .game import game_connect, game_disconnect from .game import add_game_clock_handler, add_game_move_handler, add_game_undo_requested_handler, add_game_handler from .game import game_chat, game_pass, game_resume

53.75

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null

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7

d3cb5876969848da3acddb0e3a3267d3fc5fdffb

2,005

py

Python

rotkehlchen/tests/pylint/test_disallow_not.py

coblee/rotki

d675f5c2d0df5176337b7b10038524ee74923482

[ "BSD-3-Clause" ]

137

2018-03-05T11:53:29.000Z

2019-11-03T16:38:42.000Z

rotkehlchen/tests/pylint/test_disallow_not.py

coblee/rotki

d675f5c2d0df5176337b7b10038524ee74923482

[ "BSD-3-Clause" ]

385

2018-03-08T12:43:41.000Z

2019-11-10T09:15:36.000Z

rotkehlchen/tests/pylint/test_disallow_not.py

coblee/rotki

d675f5c2d0df5176337b7b10038524ee74923482

[ "BSD-3-Clause" ]

59

2018-03-08T10:08:27.000Z

2019-10-26T11:30:44.000Z

import astroid from tools.pylint import NotBooleanChecker def test_detect_list_as_nonboolean_not(pylint_test_linter): checker = NotBooleanChecker(linter=pylint_test_linter) node = astroid.extract_node(""" a = [] not a #@ """) checker.visit_unaryop(node) messages = checker.linter.release_messages() assert len(messages) == 1 def test_detect_dict_as_nonboolean_not(pylint_test_linter): checker = NotBooleanChecker(linter=pylint_test_linter) node = astroid.extract_node(""" a = {} not a #@ """) checker.visit_unaryop(node) messages = checker.linter.release_messages() assert len(messages) == 1 def test_boolean_does_not_trigger_checker(pylint_test_linter): checker = NotBooleanChecker(linter=pylint_test_linter) node = astroid.extract_node(""" a = False not a #@ """) checker.visit_unaryop(node) messages = checker.linter.release_messages() assert len(messages) == 0 def test_isinstance_does_not_trigger_checker(pylint_test_linter): checker = NotBooleanChecker(linter=pylint_test_linter) node = astroid.extract_node(""" a = 5 not isinstance(a, str) #@ """) checker.visit_unaryop(node) messages = checker.linter.release_messages() assert len(messages) == 0 def test_boolean_function_does_not_trigger_checker(pylint_test_linter): checker = NotBooleanChecker(linter=pylint_test_linter) node = astroid.extract_node(""" def foo() -> bool: return True not foo() #@ """) checker.visit_unaryop(node) messages = checker.linter.release_messages() assert len(messages) == 0 def test_subsscript_function_does_not_crash_checker(pylint_test_linter): checker = NotBooleanChecker(linter=pylint_test_linter) node = astroid.extract_node(""" def foo() -> Optional[object]: return object() not foo() #@ """) checker.visit_unaryop(node) messages = checker.linter.release_messages() assert len(messages) == 0

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0.185037

2,005

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0

null

0

1

0

1

0

null

0

7

d3d0bb0cd5f3b726b99ea184a847d04b28bd0297

47

py

Python

src/backend/app/api/public/claims/claim/__init__.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

null

src/backend/app/api/public/claims/claim/__init__.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

null

src/backend/app/api/public/claims/claim/__init__.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

null

from . import claim from . import claim_status

15.666667

26

0.787234

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47

5.142857

0.571429

0.555556

0.833333

0

0.170213

47

2

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0.923077

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1

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0

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null

1

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1

0

null

0

1

0

1

0

1

0

8

d3d7bf660ef94028eeaece27b502271d848dab3f

844

py

Python

tests/test_provider_unicell_scaffolding.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

tests/test_provider_unicell_scaffolding.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

tests/test_provider_unicell_scaffolding.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# tests/test_provider_unicell_scaffolding.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:26:17 UTC) def test_provider_import(): import terrascript.provider.unicell.scaffolding def test_resource_import(): from terrascript.resource.unicell.scaffolding import scaffolding_resource def test_datasource_import(): from terrascript.data.unicell.scaffolding import scaffolding_data_source # TODO: Shortcut imports without namespace for official and supported providers. # TODO: This has to be moved into a required_providers block. # def test_version_source(): # # import terrascript.provider.unicell.scaffolding # # t = terrascript.provider.unicell.scaffolding.scaffolding() # s = str(t) # # assert 'https://github.com/unicell/terraform-provider-scaffolding' in s # assert '0.0.2' in s

29.103448

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0.767773

108

844

5.861111

0.527778

0.170616

0.164297

0.175355

0.135861

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0.020747

0.143365

844

28

81

30.142857

0.854772

0.61019

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true

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0

1

0

1

0

1

0

7

31082e8b64adbf6273c8705935c2c988ca3cf3ff

4,598

py

Python

EnglishWiki/COVID-19 pandemic in Germany/tables.py

Astruj/Regional-English-Wiki

2930765f06b6dbd1ade2004522f38f4d2fd08156

[ "MIT" ]

null

EnglishWiki/COVID-19 pandemic in Germany/tables.py

Astruj/Regional-English-Wiki

2930765f06b6dbd1ade2004522f38f4d2fd08156

[ "MIT" ]

null

EnglishWiki/COVID-19 pandemic in Germany/tables.py

Astruj/Regional-English-Wiki

2930765f06b6dbd1ade2004522f38f4d2fd08156

[ "MIT" ]

null

#import csv from matplotlib import pyplot as plt import pandas as pd import csv df = pd.read_csv ('de_data.csv') de_articles = list(df['article']) pageviews1 = list(df['Pageviews']) numArticles1 = len(de_articles) temp = 0 for i in range(0,numArticles1): temp = temp + pageviews1[i] avg1 = temp/numArticles1 df = pd.read_csv ('en_data.csv') en_articles = list(df['article']) pageviews2 = list(df['pageviews']) numArticles2 = len(en_articles) temp = 0 for i in range(0,numArticles2): temp = temp + pageviews2[i] avg2 = temp/numArticles2 parameters = ['Article','Average pageviews in a category'] filename = "averagePageviewsTable1.csv" with open(filename, "w+") as f: writer = csv.writer(f) writer.writerow(parameters) row = ['German', avg1] writer.writerow(row) row = [] writer.writerow(row) writer.writerow(row) row = ['English', avg2] writer.writerow(row) ################ ################### #pgviewsPerEditor ################### ################## df = pd.read_csv ('de_data.csv') de_articles = list(df['article']) pageviews = list(df['Pageviews']) numEditors = list(df['Number Of Unique Editors']) ratio1 = [] for i in range(0,len(pageviews)): ratio1.append(pageviews[i]/numEditors[i]) print(ratio1) de_len = len(ratio1) print(de_len) df = pd.read_csv('en_data.csv') en_articles = list(df['article']) pageviews = list(df['pageviews']) numEditors = list(df['numEditors']) ratio2 = [] for i in range(0,len(pageviews)): ratio2.append(pageviews[i]/numEditors[i]) en_len = len(ratio2) print(ratio2) print(en_len) parameters = ['Article','Ratio pageviews/editors'] filename = "de_pgviewsPerEditorTable1.csv" with open(filename, "w+") as f: writer = csv.writer(f) writer.writerow(parameters) x = 0 for i in range(0,de_len): row = [de_articles[i],ratio1[i]] x = x +ratio1[i] writer.writerow(row) row = ['Average', x/de_len] writer.writerow(row) parameters = ['Article','Ratio pageviews/editors'] filename = "en_pgviewsPerEditorTable1.csv" with open(filename, "w+") as f: writer = csv.writer(f) writer.writerow(parameters) x = 0 for i in range(0,en_len): row = [en_articles[i],ratio2[i]] x = x +ratio2[i] writer.writerow(row) row = ['Average', x/en_len] writer.writerow(row) ############### ############# df = pd.read_csv ('de_data.csv') de_articles = list(df['article']) revisions1 = list(df['Revisions']) numArticles1 = len(de_articles) temp = 0 for i in range(0,numArticles1): temp = temp + revisions1[i] avg1 = temp/numArticles1 df = pd.read_csv ('en_data.csv') en_articles = list(df['article']) revisions2 = list(df['revisions']) numArticles2 = len(en_articles) temp = 0 for i in range(0,numArticles2): temp = temp + revisions2[i] avg2 = temp/numArticles2 parameters = ['Article','Average revisions in a category'] filename = "averageRevisionsTable1.csv" with open(filename, "w+") as f: writer = csv.writer(f) writer.writerow(parameters) row = ['German', avg1] writer.writerow(row) row = [] writer.writerow(row) writer.writerow(row) row = ['English', avg2] writer.writerow(row) #### #revisionsPerEDITOR ######### df = pd.read_csv ('de_data.csv') de_articles = list(df['article']) revisions = list(df['Revisions']) numEditors = list(df['Number Of Unique Editors']) ratio1 = [] for i in range(0,len(revisions)): ratio1.append(revisions[i]/numEditors[i]) print(ratio1) de_len = len(ratio1) print(de_len) df = pd.read_csv('en_data.csv') en_articles = list(df['article']) revisions = list(df['revisions']) numEditors = list(df['numEditors']) ratio2 = [] for i in range(0,len(revisions)): ratio2.append(revisions[i]/numEditors[i]) en_len = len(ratio2) print(ratio2) print(en_len) parameters = ['Article','Ratio revisions/editors'] filename = "de_revisionsPerEditorTable1.csv" with open(filename, "w+") as f: writer = csv.writer(f) writer.writerow(parameters) x = 0 for i in range(0,de_len): row = [de_articles[i],ratio1[i]] x = x +ratio1[i] writer.writerow(row) row = ['Average', x/de_len] writer.writerow(row) parameters = ['Article','Ratio revisions/editors'] filename = "en_revisionsPerEditorTable1.csv" with open(filename, "w+") as f: writer = csv.writer(f) writer.writerow(parameters) x = 0 for i in range(0,en_len): row = [en_articles[i],ratio2[i]] x = x +ratio2[i] writer.writerow(row) row = ['Average', x/en_len] writer.writerow(row) ##########

23.340102

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626

4,598

4.682109

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0.105084

0.092801

0.045036

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0.852951

0.820198

0.777209

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4,598

197

60

23.340102

0.752572

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0.816327

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0

1

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false

0

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0.020408

0.054422

0

null

0

1

0

1

0

null

0

7

31312f22f1f3e36d5722f1a34f233e808f8b603f

167

py

Python

qiskit_utils/__init__.py

mgrzesiuk/qiskit-utils

ba29d31221815e4690aec4f7abbcc2e6d0747c80

[ "MIT" ]

null

qiskit_utils/__init__.py

mgrzesiuk/qiskit-utils

ba29d31221815e4690aec4f7abbcc2e6d0747c80

[ "MIT" ]

null

qiskit_utils/__init__.py

mgrzesiuk/qiskit-utils

ba29d31221815e4690aec4f7abbcc2e6d0747c80

[ "MIT" ]

null

from qiskit_utils.insert import insert_instruction from qiskit_utils.enhanced_circuit import QuantumCircuitEnhanced from qiskit_utils.parse_result import parse_result

41.75

64

0.91018

22

167

6.590909

0.5

0.206897

0.310345

0

0.071856

167

3

65

55.666667

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0

1

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true

0

1

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1

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null

1

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1

0

null

0

1

0

1

0

1

0

7

31559566b03dbab432dfa66edb7d6c737c1fe772

7,630

py

Python

src/weather/weather.py

SzymonWilczewski/weather-project-tdd

edd92e3ae198496331e7140f9c8a008d56f9528c

[ "MIT" ]

null

src/weather/weather.py

SzymonWilczewski/weather-project-tdd

edd92e3ae198496331e7140f9c8a008d56f9528c

[ "MIT" ]

null

src/weather/weather.py

SzymonWilczewski/weather-project-tdd

edd92e3ae198496331e7140f9c8a008d56f9528c

[ "MIT" ]

null

from src.weather.weather_data import WeatherData class Weather: def __init__(self): self.data = WeatherData() def current_temperature_by_city_name(self, city_name): try: weather = self.data.get_current_weather_by_city_name(city_name) return round(weather["main"]["temp"] - 273.15, 2) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def current_temperature_by_city_id(self, city_id): try: weather = self.data.get_current_weather_by_city_id(city_id) return round(weather["main"]["temp"] - 273.15, 2) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def current_pressure_by_city_name(self, city_name): try: weather = self.data.get_current_weather_by_city_name(city_name) return weather["main"]["pressure"] except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def current_pressure_by_city_id(self, city_id): try: weather = self.data.get_current_weather_by_city_id(city_id) return weather["main"]["pressure"] except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def current_humidity_by_city_name(self, city_name): try: weather = self.data.get_current_weather_by_city_name(city_name) return weather["main"]["humidity"] except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def current_humidity_by_city_id(self, city_id): try: weather = self.data.get_current_weather_by_city_id(city_id) return weather["main"]["humidity"] except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_temperature_forecast_by_city_name(self, city_name): try: weather = self.data.get_week_weather_by_city_name(city_name) temperature = [] for day in weather["list"]: temperature.append(round(day["temp"]["day"] - 273.15, 2)) return temperature except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_temperature_forecast_by_city_id(self, city_id): try: weather = self.data.get_week_weather_by_city_id(city_id) temperature = [] for day in weather["list"]: temperature.append(round(day["temp"]["day"] - 273.15, 2)) return temperature except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_pressure_forecast_by_city_name(self, city_name): try: weather = self.data.get_week_weather_by_city_name(city_name) pressure = [] for day in weather["list"]: pressure.append(day["pressure"]) return pressure except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_pressure_forecast_by_city_id(self, city_id): try: weather = self.data.get_week_weather_by_city_id(city_id) pressure = [] for day in weather["list"]: pressure.append(day["pressure"]) return pressure except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_humidity_forecast_by_city_name(self, city_name): try: weather = self.data.get_week_weather_by_city_name(city_name) humidity = [] for day in weather["list"]: humidity.append(day["humidity"]) return humidity except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_humidity_forecast_by_city_id(self, city_id): try: weather = self.data.get_week_weather_by_city_id(city_id) humidity = [] for day in weather["list"]: humidity.append(day["humidity"]) return humidity except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_average_temperature_by_city_name(self, city_name): try: weather = self.data.get_week_weather_by_city_name(city_name) temperature = [] for day in weather["list"]: temperature.append(round(day["temp"]["day"] - 273.15, 2)) return round(sum(temperature) / len(temperature), 2) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_average_temperature_by_city_id(self, city_id): try: weather = self.data.get_week_weather_by_city_id(city_id) temperature = [] for day in weather["list"]: temperature.append(round(day["temp"]["day"] - 273.15, 2)) return round(sum(temperature) / len(temperature), 2) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_average_pressure_by_city_name(self, city_name): try: weather = self.data.get_week_weather_by_city_name(city_name) pressure = [] for day in weather["list"]: pressure.append(day["pressure"]) return int(round(sum(pressure) / len(pressure), 0)) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_average_pressure_by_city_id(self, city_id): try: weather = self.data.get_week_weather_by_city_id(city_id) pressure = [] for day in weather["list"]: pressure.append(day["pressure"]) return int(round(sum(pressure) / len(pressure), 0)) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_average_humidity_by_city_name(self, city_name): try: weather = self.data.get_week_weather_by_city_name(city_name) humidity = [] for day in weather["list"]: humidity.append(day["humidity"]) return int(round(sum(humidity) / len(humidity), 0)) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!") def week_average_humidity_by_city_id(self, city_id): try: weather = self.data.get_week_weather_by_city_id(city_id) humidity = [] for day in weather["list"]: humidity.append(day["humidity"]) return int(round(sum(humidity) / len(humidity), 0)) except TypeError: raise TypeError("Wrong type!") except ValueError: raise ValueError("Wrong value!")

37.219512

75

0.593578

851

7,630

5.06933

0.054054

0.05007

0.041725

0.075104

0.980529

0.97821

0

0.007977

0.309961

7,630

204

76

37.401961

0.811396

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0.880435

0

0.080996

0

1

0.103261

false

0

0.005435

0

0.211957

0

null

0

1

0

1

0

null

0

7

317f000dda18a9ea0d519810c8cce68479fd9aee

549

py

Python

Scratch_22.py

UNKNOWN-CODERS/Olympic-Design-Python-

724eb0f19a5129144795c655cc9d84764b069b54

[ "Apache-2.0" ]

null

Scratch_22.py

UNKNOWN-CODERS/Olympic-Design-Python-

724eb0f19a5129144795c655cc9d84764b069b54

[ "Apache-2.0" ]

null

Scratch_22.py

UNKNOWN-CODERS/Olympic-Design-Python-

724eb0f19a5129144795c655cc9d84764b069b54

[ "Apache-2.0" ]

null

import turtle turtle.pensize(8) turtle.color('blue') turtle.penup() turtle.goto(-110,-25) turtle.pendown() turtle.circle(50) turtle.color('black') turtle.penup() turtle.goto(0,-25) turtle.pendown() turtle.circle(50) turtle.color('red') turtle.penup() turtle.goto(110,-25) turtle.pendown() turtle.circle(50) turtle.color('yellow') turtle.penup() turtle.goto(-55,-75) turtle.pendown() turtle.circle(50) turtle.color('green') turtle.penup() turtle.goto(55,-75) turtle.pendown() turtle.circle(50) turtle.done()

15.25

23

0.68306

77

549

4.87013

0.272727

0.146667

0.226667

0.28

0.770667

0.757333

0.650667

0

0.066946

0.129326

549

35

24

15.685714

0.717573

0

0.535714

0

0.044834

0

1

0

true

0

0.035714

0

0.035714

0

null

0

1

0

1

0

1

0

null

0

1

0

7

31bdda1d4e09ce3bcae6569c576a23ea3cd89f9e

13,251

py

Python

wpiformat/wpiformat/test/test_jni.py

prateekma/styleguide

962c6cd6e316b71156d80e5751e8a76a01b60668

[ "BSD-3-Clause" ]

null

wpiformat/wpiformat/test/test_jni.py

prateekma/styleguide

962c6cd6e316b71156d80e5751e8a76a01b60668

[ "BSD-3-Clause" ]

null

wpiformat/wpiformat/test/test_jni.py

prateekma/styleguide

962c6cd6e316b71156d80e5751e8a76a01b60668

[ "BSD-3-Clause" ]

null

import os from .tasktest import * from wpiformat.jni import Jni def test_jni(): test = TaskTest(Jni()) # Input args go to next line even if they fit on same line test.add_input("./TestJNI.cpp", "JNIEXPORT void JNICALL" + os.linesep + \ "Java_TestJNI_testFunc(JNIEnv* env, jclass) {" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: TestJNI" + os.linesep + \ " * Method: testFunc" + os.linesep + \ " * Signature: ()V" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT void JNICALL" + os.linesep + \ "Java_TestJNI_testFunc" + os.linesep + \ " (JNIEnv* env, jclass)" + os.linesep + \ "{" + os.linesep, True, True) # Input aligned to "(" and args past end of line test.add_input("./TestJNI.cpp", "JNIEXPORT void JNICALL" + os.linesep + \ "Java_edu_wpi_cscore_CameraServerJNI_setCameraExposureHoldCurrent(JNIEnv* env," + os.linesep + \ " jclass," + os.linesep + \ " jint source) {" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: edu_wpi_cscore_CameraServerJNI" + os.linesep + \ " * Method: setCameraExposureHoldCurrent" + os.linesep + \ " * Signature: (I)V" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT void JNICALL" + os.linesep + \ "Java_edu_wpi_cscore_CameraServerJNI_setCameraExposureHoldCurrent" + os.linesep + \ " (JNIEnv* env, jclass, jint source)" + os.linesep + \ "{" + os.linesep, True, True) # Args in input on line after "(" and args length > 80 characters test.add_input("./TestJNI.cpp", "JNIEXPORT void JNICALL Java_edu_wpi_cscore_CameraServerJNI_putSourceFrame(" + os.linesep + \ " JNIEnv *env, jclass, jint source, jlong imageNativeObj) {" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: edu_wpi_cscore_CameraServerJNI" + os.linesep + \ " * Method: putSourceFrame" + os.linesep + \ " * Signature: (IJ)V" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT void JNICALL" + os.linesep + \ "Java_edu_wpi_cscore_CameraServerJNI_putSourceFrame" + os.linesep + \ " (JNIEnv *env, jclass, jint source, jlong imageNativeObj)" + os.linesep + \ "{" + os.linesep, True, True) # Args > 80 characters long test.add_input("./TestJNI.cpp", "JNIEXPORT jint JNICALL Java_edu_wpi_cscore_CameraServerJNI_createSourceProperty(" + os.linesep + \ " JNIEnv *env, jclass, jint source, jstring name, jint kind, jint minimum," + os.linesep + \ " jint maximum, jint step, jint defaultValue, jint value) {" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: edu_wpi_cscore_CameraServerJNI" + os.linesep + \ " * Method: createSourceProperty" + os.linesep + \ " * Signature: (ILjava/lang/String;IIIIII)I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_cscore_CameraServerJNI_createSourceProperty" + os.linesep + \ " (JNIEnv *env, jclass, jint source, jstring name, jint kind, jint minimum," + os.linesep + \ " jint maximum, jint step, jint defaultValue, jint value)" + os.linesep + \ "{" + os.linesep, True, True) # Ensure fixes clang-format output aligned with "(" test.add_input("./TestJNI.cpp", "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance(JNIEnv*," + os.linesep + \ " jclass) {" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: createInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance" + os.linesep + \ " (JNIEnv*, jclass)" + os.linesep + \ "{" + os.linesep, True, True) # Idempotence for same code test.add_input("./TestJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: createInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance" + os.linesep + \ " (JNIEnv*, jclass)" + os.linesep + \ "{" + os.linesep) test.add_latest_input_as_output(True) # Idempotence for same code with named jclass variable test.add_input("./TestJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: createInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance" + os.linesep + \ " (JNIEnv*, jclass class)" + os.linesep + \ "{" + os.linesep) test.add_latest_input_as_output(True) # Check signature that breaks verbose regexes test.add_input("./NetworkTablesJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: getEntry" + os.linesep + \ " * Signature: (ILjava/lang/String;)I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getEntry(JNIEnv* env, jclass," + os.linesep + \ " jint inst," + os.linesep + \ " jstring key) {" + os.linesep) test.add_output("/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: getEntry" + os.linesep + \ " * Signature: (ILjava/lang/String;)I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getEntry" + os.linesep + \ " (JNIEnv* env, jclass, jint inst, jstring key)" + os.linesep + \ "{" + os.linesep, True, True) # Function with array type as argument test.add_input("./NetworkTablesJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: getEntries" + os.linesep + \ " * Signature: (ILjava/lang/String;I)[I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jintArray JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getEntries(JNIEnv* env," + os.linesep + \ " jclass, jint inst," + os.linesep + \ " jstring prefix," + os.linesep + \ " jint types) {" + os.linesep) test.add_output("/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: getEntries" + os.linesep + \ " * Signature: (ILjava/lang/String;I)[I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jintArray JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getEntries" + os.linesep + \ " (JNIEnv* env, jclass, jint inst, jstring prefix, jint types)" + os.linesep + \ "{" + os.linesep, True, True) # Ensure functions with overloads are handled correctly test.add_input("./NetworkTablesJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: setRaw" + os.linesep + \ " * Signature: (IJ[BZ)Z" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jboolean JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_setRaw__IJ_3BZ" + os.linesep + \ " (JNIEnv* env, jclass, jint entry, jlong time, jbyteArray value," + os.linesep + \ " jboolean force)" + os.linesep + \ "{" + os.linesep) test.add_latest_input_as_output(True) # Ensure text before JNIEXPORT and after args and ")" is handled correctly # as well as two JNI functions in a row test.add_input("./TestJNI.cpp", "/**" + os.linesep + \ " *" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getDefaultInstance" + os.linesep + \ " (JNIEnv *, jclass)" + os.linesep + \ "{" + os.linesep + \ " return nt::GetDefaultInstance();" + os.linesep + \ "}" + os.linesep + \ os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance" + os.linesep + \ " (JNIEnv *, jclass)" + os.linesep + \ "{" + os.linesep + \ " return nt::CreateInstance();" + os.linesep + \ "}" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: getDefaultInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getDefaultInstance" + os.linesep + \ " (JNIEnv *, jclass)" + os.linesep + \ "{" + os.linesep + \ " return nt::GetDefaultInstance();" + os.linesep + \ "}" + os.linesep + \ os.linesep + \ "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: createInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance" + os.linesep + \ " (JNIEnv *, jclass)" + os.linesep + \ "{" + os.linesep + \ " return nt::CreateInstance();" + os.linesep + \ "}" + os.linesep, True, True) # Handle function declarations properly test.add_input("./TestJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: getDefaultInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_getDefaultInstance" + os.linesep + \ " (JNIEnv *, jclass);" + os.linesep + \ os.linesep + \ "/*" + os.linesep + \ " * Class: edu_wpi_first_networktables_NetworkTablesJNI" + os.linesep + \ " * Method: createInstance" + os.linesep + \ " * Signature: ()I" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT jint JNICALL" + os.linesep + \ "Java_edu_wpi_first_networktables_NetworkTablesJNI_createInstance" + os.linesep + \ " (JNIEnv *, jclass)" + os.linesep + \ "{" + os.linesep + \ " return nt::CreateInstance();" + os.linesep + \ "}" + os.linesep) test.add_latest_input_as_output(True) # Handle functions whose arguments don't have variable names properly test.add_input("./DigitalGlitchFilterJNI.cpp", "/*" + os.linesep + \ " * Class: edu_wpi_first_wpilibj_hal_DigitalGlitchFilterJNI" + os.linesep + \ " * Method: cleanFilter" + os.linesep + \ " * Signature: (I)V" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT void JNICALL Java_edu_wpi_first_wpilibj_hal_DigitalGlitchFilterJNI_cleanFilter" + os.linesep + \ " (JNIEnv *, jclass, jint)" + os.linesep + \ "{" + os.linesep + \ " HAL_CleanFilter(handle);" + os.linesep + \ "}" + os.linesep) test.add_output( "/*" + os.linesep + \ " * Class: edu_wpi_first_wpilibj_hal_DigitalGlitchFilterJNI" + os.linesep + \ " * Method: cleanFilter" + os.linesep + \ " * Signature: (I)V" + os.linesep + \ " */" + os.linesep + \ "JNIEXPORT void JNICALL" + os.linesep + \ "Java_edu_wpi_first_wpilibj_hal_DigitalGlitchFilterJNI_cleanFilter" + os.linesep + \ " (JNIEnv *, jclass, jint)" + os.linesep + \ "{" + os.linesep + \ " HAL_CleanFilter(handle);" + os.linesep + \ "}" + os.linesep, True, True) test.run(OutputType.FILE)

49.629213

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0.255222

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0.122009

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0.842025

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0.799281

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0.297034

13,251

266

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0.775523

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null

1

0

1

0

1

0

null

0

8

735aac3665747d3709eb2fe0b83c5afaced75ec6

2,028

py

Python

protein/migrations/0009_auto_20200511_1818.py

pszgaspar/protwis

4989a67175ef3c95047d795c843cf6b9cf4141fa

[ "Apache-2.0" ]

21

2016-01-20T09:33:14.000Z

2021-12-20T19:19:45.000Z

protein/migrations/0009_auto_20200511_1818.py

pszgaspar/protwis

4989a67175ef3c95047d795c843cf6b9cf4141fa

[ "Apache-2.0" ]

75

2016-02-26T16:29:58.000Z

2022-03-21T12:35:13.000Z

protein/migrations/0009_auto_20200511_1818.py

pszgaspar/protwis

4989a67175ef3c95047d795c843cf6b9cf4141fa

[ "Apache-2.0" ]

77

2016-01-22T08:44:26.000Z

2022-02-01T15:54:56.000Z

# Generated by Django 3.0.4 on 2020-05-11 16:18 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('protein', '0008_auto_20200422_1636'), ] operations = [ migrations.RemoveField( model_name='proteingproteinpair', name='log_ec50_dnorm', ), migrations.RemoveField( model_name='proteingproteinpair', name='log_ec50_mean', ), migrations.RemoveField( model_name='proteingproteinpair', name='log_ec50_sem', ), migrations.AddField( model_name='proteingproteinpair', name='pec50_dnorm', field=models.FloatField(blank=True, null=True), ), migrations.AddField( model_name='proteingproteinpair', name='pec50_mean', field=models.FloatField(blank=True, null=True), ), migrations.AddField( model_name='proteingproteinpair', name='pec50_sem', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='proteingproteinpair', name='emax_dnorm', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='proteingproteinpair', name='emax_mean', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='proteingproteinpair', name='emax_sem', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='proteingproteinpair', name='log_rai_mean', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='proteingproteinpair', name='log_rai_sem', field=models.FloatField(blank=True, null=True), ), ]

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1

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false

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0.067797

0

null

0

1

0

1

0

null

0

7

b405b039546c23a08559747231d884ab339f14b6

2,562

py

Python

dijkstra_last/dijkstra/source/test/my_test.py

nickolaymykhalych/UCU_adw_algorithms

127b571f1951819569d94e620f23c52c1ffc22db

[ "MIT" ]

null

dijkstra_last/dijkstra/source/test/my_test.py

nickolaymykhalych/UCU_adw_algorithms

127b571f1951819569d94e620f23c52c1ffc22db

[ "MIT" ]

null

dijkstra_last/dijkstra/source/test/my_test.py

nickolaymykhalych/UCU_adw_algorithms

127b571f1951819569d94e620f23c52c1ffc22db

[ "MIT" ]

null

import unittest import sys sys.path.append("..") from Graph import Graph from Dijkstra import * class Graph_Test(unittest.TestCase): def setUp(self): self.graph = Graph() def test_add_nodes(self): self.graph.add_node('A') self.graph.add_node('B') self.graph.add_node('C') self.graph.add_node('D') self.graph.add_node('E') self.graph.add_node('F') self.graph.add_node('G') self.assertEqual(self.graph.nodes, set(['A', 'B', 'C', 'D', 'E', 'E', 'F', 'G'])) def test_shortest_path(self, ): self.graph.add_node('A') self.graph.add_node('B') self.graph.add_node('C') self.graph.add_node('D') self.graph.add_node('E') self.graph.add_node('F') self.graph.add_node('G') self.graph.add_edge('A', 'B', 10) self.graph.add_edge('A', 'C', 20) self.graph.add_edge('B', 'D', 15) self.graph.add_edge('C', 'D', 30) self.graph.add_edge('B', 'E', 50) self.graph.add_edge('D', 'E', 30) self.graph.add_edge('E', 'F', 5) self.graph.add_edge('F', 'G', 2) dijkstra_output = dijkstra(self.graph, 'A') self.assertEqual(shortest_path(self.graph, dijkstra_output,'A', 'E'), (55, ['A', 'B', 'D', 'E'])) self.assertEqual(shortest_path(self.graph, dijkstra_output,'A', 'G'), (62, ['A', 'B', 'D', 'E', 'F', 'G'])) def test_for_one(self, ): self.graph.add_node('A') dijkstra_output = dijkstra(self.graph, 'A') self.assertEqual(shortest_path(self.graph, dijkstra_output,'A', 'G'), "There is no sense in your request!") def test_for_dijkstra_heap(self): self.graph.add_node('A') self.graph.add_node('B') self.graph.add_node('C') self.graph.add_node('D') self.graph.add_node('E') self.graph.add_node('F') self.graph.add_node('G') self.graph.add_edge('A', 'B', 10) self.graph.add_edge('A', 'C', 20) self.graph.add_edge('B', 'D', 15) self.graph.add_edge('C', 'D', 30) self.graph.add_edge('B', 'E', 50) self.graph.add_edge('D', 'E', 30) self.graph.add_edge('E', 'F', 5) self.graph.add_edge('F', 'G', 2) self.assertEqual(dijkstra_with_heap(self.graph, 'A', 'E'), (55, ['A', 'B', 'D', 'E'])) self.assertEqual(dijkstra_with_heap(self.graph, 'A', 'G'), (62, ['A', 'B', 'D', 'E', 'F', 'G'])) suite = unittest.TestLoader().loadTestsFromTestCase(Graph_Test) unittest.TextTestRunner(verbosity=2).run(suite)

37.676471

115

0.569087

385

2,562

3.628571

0.142857

0.302792

0.326414

0.251969

0.758053

0.745884

0.730852

0.684324

0.649964

0

0.018574

0.222482

2,562

67

116

38.238806

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0.666667

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0.050742

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1

0.083333

false

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0.066667

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null

1

0

1

0

1

0

null

0

7

b41c918afea2e642f5c16129b47afcbb982706d1

8,115

py

Python

fonts/DejaVuSans_12.py

ironss/micropython-lib

61719636dad9aaa581c8e39e71ccc515e75c2d43

[ "MIT" ]

null

fonts/DejaVuSans_12.py

ironss/micropython-lib

61719636dad9aaa581c8e39e71ccc515e75c2d43

[ "MIT" ]

null

fonts/DejaVuSans_12.py

ironss/micropython-lib

61719636dad9aaa581c8e39e71ccc515e75c2d43

[ "MIT" ]

2

2019-09-24T13:36:55.000Z

2020-04-18T02:05:38.000Z

# Code generated by font-to-py.py. # Font: DejaVuSans.ttf version = '0.26' def height(): return 12 def max_width(): return 12 def hmap(): return False def reverse(): return False def monospaced(): return False def min_ch(): return 32 def max_ch(): return 126 _font =\ b'\x06\x00\x02\x00\x72\x01\x1a\x00\x0c\x00\x00\x00\x00\x00\x04\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x7e\x01\x00\x00\x00\x00'\ b'\x05\x00\x0e\x00\x00\x00\x0e\x00\x00\x00\x00\x00\x09\x00\x40\x00'\ b'\x48\x01\xf8\x00\x4e\x00\xc8\x01\x7c\x00\x4a\x00\x08\x00\x00\x00'\ b'\x07\x00\x18\x01\x24\x01\xfe\x07\x24\x01\xc4\x00\x00\x00\x00\x00'\ b'\x0a\x00\x0c\x00\x12\x00\x12\x01\xcc\x00\x30\x00\xcc\x00\x22\x01'\ b'\x20\x01\xc0\x00\x00\x00\x0a\x00\xe0\x00\x9c\x01\x12\x01\x22\x01'\ b'\x44\x01\x80\x00\x40\x01\x20\x01\x00\x00\x00\x00\x03\x00\x0e\x00'\ b'\x00\x00\x00\x00\x04\x00\xfe\x01\x01\x02\x00\x00\x00\x00\x04\x00'\ b'\x03\x03\xfc\x00\x00\x00\x00\x00\x06\x00\x24\x00\x18\x00\x7e\x00'\ b'\x18\x00\x24\x00\x00\x00\x09\x00\x20\x00\x20\x00\x20\x00\xfc\x01'\ b'\x20\x00\x20\x00\x20\x00\x00\x00\x00\x00\x04\x00\x00\x03\x00\x00'\ b'\x00\x00\x00\x00\x04\x00\x20\x00\x20\x00\x20\x00\x00\x00\x04\x00'\ b'\x00\x01\x00\x00\x00\x00\x00\x00\x04\x00\x00\x03\xe0\x01\x3c\x00'\ b'\x06\x00\x07\x00\xfc\x00\x86\x01\x02\x01\x86\x01\xfc\x00\x00\x00'\ b'\x00\x00\x07\x00\x02\x01\x02\x01\xfe\x01\x00\x01\x00\x01\x00\x00'\ b'\x00\x00\x07\x00\x04\x01\x82\x01\x42\x01\x22\x01\x1c\x01\x00\x00'\ b'\x00\x00\x07\x00\x84\x00\x12\x01\x12\x01\x12\x01\xec\x00\x00\x00'\ b'\x00\x00\x07\x00\x60\x00\x50\x00\x48\x00\x44\x00\xfe\x01\x40\x00'\ b'\x00\x00\x07\x00\x1e\x01\x12\x01\x12\x01\x12\x01\xe0\x00\x00\x00'\ b'\x00\x00\x07\x00\xf8\x00\x14\x01\x12\x01\x12\x01\xe2\x00\x00\x00'\ b'\x00\x00\x07\x00\x02\x00\x02\x01\xe2\x00\x1a\x00\x06\x00\x00\x00'\ b'\x00\x00\x07\x00\xec\x00\x12\x01\x12\x01\x12\x01\xec\x00\x00\x00'\ b'\x00\x00\x07\x00\x1c\x01\x22\x01\x22\x01\xa2\x00\x7c\x00\x00\x00'\ b'\x00\x00\x04\x00\x08\x01\x00\x00\x00\x00\x00\x00\x04\x00\x08\x03'\ b'\x00\x00\x00\x00\x00\x00\x09\x00\x60\x00\x60\x00\x60\x00\x90\x00'\ b'\x90\x00\x90\x00\x08\x01\x00\x00\x00\x00\x09\x00\x50\x00\x50\x00'\ b'\x50\x00\x50\x00\x50\x00\x50\x00\x50\x00\x00\x00\x00\x00\x09\x00'\ b'\x08\x01\x90\x00\x90\x00\x90\x00\x60\x00\x60\x00\x60\x00\x00\x00'\ b'\x00\x00\x06\x00\x02\x00\x72\x01\x1a\x00\x0c\x00\x00\x00\x00\x00'\ b'\x0c\x00\xf0\x00\x0c\x03\x04\x02\x62\x04\x92\x04\x92\x04\xf2\x04'\ b'\x86\x02\x44\x00\x78\x00\x00\x00\x00\x00\x07\x00\x00\x01\xe0\x00'\ b'\x5c\x00\x42\x00\x5c\x00\xe0\x00\x00\x01\x08\x00\xfe\x01\x12\x01'\ b'\x12\x01\x12\x01\x12\x01\xec\x00\x00\x00\x00\x00\x08\x00\x78\x00'\ b'\x84\x00\x02\x01\x02\x01\x02\x01\x84\x00\x00\x00\x00\x00\x08\x00'\ b'\xfe\x01\x02\x01\x02\x01\x02\x01\x84\x00\x78\x00\x00\x00\x00\x00'\ b'\x07\x00\xfe\x01\x12\x01\x12\x01\x12\x01\x12\x01\x00\x00\x00\x00'\ b'\x06\x00\xfe\x01\x12\x00\x12\x00\x12\x00\x12\x00\x00\x00\x09\x00'\ b'\x78\x00\x84\x00\x02\x01\x02\x01\x22\x01\x22\x01\xe4\x00\x00\x00'\ b'\x00\x00\x08\x00\xfe\x01\x10\x00\x10\x00\x10\x00\x10\x00\xfe\x01'\ b'\x00\x00\x00\x00\x03\x00\xfe\x01\x00\x00\x00\x00\x03\x00\x00\x04'\ b'\x00\x04\xfe\x03\x07\x00\xfe\x01\x10\x00\x28\x00\x44\x00\x82\x00'\ b'\x00\x01\x00\x00\x06\x00\xfe\x01\x00\x01\x00\x01\x00\x01\x00\x01'\ b'\x00\x00\x09\x00\xfe\x01\x0c\x00\x30\x00\x40\x00\x30\x00\x0c\x00'\ b'\xfe\x01\x00\x00\x00\x00\x08\x00\xfe\x01\x06\x00\x18\x00\x60\x00'\ b'\x80\x01\xfe\x01\x00\x00\x00\x00\x09\x00\x78\x00\x84\x00\x02\x01'\ b'\x02\x01\x02\x01\x84\x00\x78\x00\x00\x00\x00\x00\x07\x00\xfe\x01'\ b'\x22\x00\x22\x00\x22\x00\x1c\x00\x00\x00\x00\x00\x09\x00\x78\x00'\ b'\x84\x00\x02\x01\x02\x01\x02\x03\x84\x02\x78\x00\x00\x00\x00\x00'\ b'\x07\x00\xfe\x01\x22\x00\x22\x00\x62\x00\x9c\x00\x00\x01\x00\x00'\ b'\x08\x00\x9c\x00\x12\x01\x12\x01\x12\x01\x22\x01\xe4\x00\x00\x00'\ b'\x00\x00\x07\x00\x02\x00\x02\x00\x02\x00\xfe\x01\x02\x00\x02\x00'\ b'\x02\x00\x08\x00\xfe\x00\x80\x01\x00\x01\x00\x01\x80\x01\xfe\x00'\ b'\x00\x00\x00\x00\x07\x00\x06\x00\x18\x00\x60\x00\x80\x01\x60\x00'\ b'\x18\x00\x06\x00\x09\x00\x06\x00\x78\x00\x80\x01\x70\x00\x0e\x00'\ b'\x70\x00\x80\x01\x78\x00\x06\x00\x07\x00\x02\x01\x86\x01\x48\x00'\ b'\x30\x00\x48\x00\x86\x01\x02\x01\x07\x00\x02\x00\x04\x00\x08\x00'\ b'\xf0\x01\x08\x00\x04\x00\x02\x00\x09\x00\x02\x01\x82\x01\x42\x01'\ b'\x32\x01\x0a\x01\x06\x01\x02\x01\x00\x00\x00\x00\x04\x00\xfe\x07'\ b'\x02\x04\x00\x00\x00\x00\x04\x00\x06\x00\x3c\x00\xe0\x01\x00\x03'\ b'\x04\x00\x02\x04\xfe\x07\x00\x00\x00\x00\x09\x00\x08\x00\x0c\x00'\ b'\x06\x00\x02\x00\x06\x00\x0c\x00\x08\x00\x00\x00\x00\x00\x06\x00'\ b'\x00\x02\x00\x02\x00\x02\x00\x02\x00\x02\x00\x02\x06\x00\x00\x00'\ b'\x01\x00\x02\x00\x00\x00\x00\x00\x00\x00\x07\x00\xc0\x00\x28\x01'\ b'\x28\x01\x28\x01\xf0\x01\x00\x00\x00\x00\x07\x00\xff\x01\x08\x01'\ b'\x08\x01\x08\x01\xf0\x00\x00\x00\x00\x00\x06\x00\xf0\x00\x08\x01'\ b'\x08\x01\x08\x01\x00\x00\x00\x00\x07\x00\xf0\x00\x08\x01\x08\x01'\ b'\x08\x01\xff\x01\x00\x00\x00\x00\x07\x00\xf0\x00\xa8\x01\x28\x01'\ b'\x28\x01\xb0\x00\x00\x00\x00\x00\x04\x00\x08\x00\xfe\x01\x09\x00'\ b'\x09\x00\x07\x00\xf0\x00\x08\x05\x08\x05\x08\x05\xf8\x03\x00\x00'\ b'\x00\x00\x07\x00\xff\x01\x08\x00\x08\x00\x08\x00\xf0\x01\x00\x00'\ b'\x00\x00\x03\x00\xfa\x01\x00\x00\x00\x00\x03\x00\x00\x04\xfa\x07'\ b'\x00\x00\x06\x00\xff\x01\x20\x00\x50\x00\x88\x00\x00\x01\x00\x00'\ b'\x03\x00\xff\x01\x00\x00\x00\x00\x0b\x00\xf8\x01\x08\x00\x08\x00'\ b'\x08\x00\xf0\x01\x08\x00\x08\x00\x08\x00\xf0\x01\x00\x00\x00\x00'\ b'\x07\x00\xf8\x01\x08\x00\x08\x00\x08\x00\xf0\x01\x00\x00\x00\x00'\ b'\x07\x00\xf0\x00\x08\x01\x08\x01\x08\x01\xf0\x00\x00\x00\x00\x00'\ b'\x07\x00\xf8\x07\x08\x01\x08\x01\x08\x01\xf0\x00\x00\x00\x00\x00'\ b'\x07\x00\xf0\x00\x08\x01\x08\x01\x08\x01\xf8\x07\x00\x00\x00\x00'\ b'\x05\x00\xf8\x01\x10\x00\x08\x00\x08\x00\x00\x00\x07\x00\xb0\x00'\ b'\x28\x01\x28\x01\x48\x01\xd0\x00\x00\x00\x00\x00\x04\x00\x08\x00'\ b'\xfe\x01\x08\x01\x08\x01\x07\x00\xf8\x00\x00\x01\x00\x01\x00\x01'\ b'\xf8\x01\x00\x00\x00\x00\x06\x00\x18\x00\x60\x00\x80\x01\x80\x01'\ b'\x60\x00\x18\x00\x09\x00\x78\x00\x80\x01\x60\x00\x18\x00\x60\x00'\ b'\x80\x01\x78\x00\x00\x00\x00\x00\x06\x00\x08\x01\x90\x00\x60\x00'\ b'\x60\x00\x90\x00\x08\x01\x07\x00\x00\x00\x18\x04\x60\x04\x80\x03'\ b'\x80\x01\x60\x00\x18\x00\x05\x00\x08\x01\x88\x01\x48\x01\x28\x01'\ b'\x18\x01\x07\x00\x20\x00\x20\x00\xde\x07\x02\x04\x02\x04\x00\x00'\ b'\x00\x00\x04\x00\xfe\x0f\x00\x00\x00\x00\x00\x00\x07\x00\x02\x04'\ b'\x02\x04\xde\x07\x20\x00\x20\x00\x00\x00\x00\x00\x09\x00\x40\x00'\ b'\x20\x00\x20\x00\x60\x00\x40\x00\x40\x00\x20\x00\x00\x00\x00\x00'\ _index =\ b'\x00\x00\x0e\x00\x18\x00\x20\x00\x2c\x00\x40\x00\x50\x00\x66\x00'\ b'\x7c\x00\x84\x00\x8e\x00\x98\x00\xa6\x00\xba\x00\xc4\x00\xce\x00'\ b'\xd8\x00\xe2\x00\xf2\x00\x02\x01\x12\x01\x22\x01\x32\x01\x42\x01'\ b'\x52\x01\x62\x01\x72\x01\x82\x01\x8c\x01\x96\x01\xaa\x01\xbe\x01'\ b'\xd2\x01\xe0\x01\xfa\x01\x0a\x02\x1c\x02\x2e\x02\x40\x02\x50\x02'\ b'\x5e\x02\x72\x02\x84\x02\x8c\x02\x94\x02\xa4\x02\xb2\x02\xc6\x02'\ b'\xd8\x02\xec\x02\xfc\x02\x10\x03\x20\x03\x32\x03\x42\x03\x54\x03'\ b'\x64\x03\x78\x03\x88\x03\x98\x03\xac\x03\xb6\x03\xc0\x03\xca\x03'\ b'\xde\x03\xec\x03\xfa\x03\x0a\x04\x1a\x04\x28\x04\x38\x04\x48\x04'\ b'\x52\x04\x62\x04\x72\x04\x7a\x04\x82\x04\x90\x04\x98\x04\xb0\x04'\ b'\xc0\x04\xd0\x04\xe0\x04\xf0\x04\xfc\x04\x0c\x05\x16\x05\x26\x05'\ b'\x34\x05\x48\x05\x56\x05\x66\x05\x72\x05\x82\x05\x8c\x05\x9c\x05'\ b'\xb0\x05' _mvfont = memoryview(_font) def _chr_addr(ordch): offset = 2 * (ordch - 32) return int.from_bytes(_index[offset:offset + 2], 'little') def get_width(s): width = 0 for ch in s: ordch = ord(ch) ordch = ordch + 1 if ordch >= 32 and ordch <= 126 else 32 offset = _chr_addr(ordch) width += int.from_bytes(_font[offset:offset + 2], 'little') return width def get_ch(ch): ordch = ord(ch) ordch = ordch + 1 if ordch >= 32 and ordch <= 126 else 32 offset = _chr_addr(ordch) width = int.from_bytes(_font[offset:offset + 2], 'little') next_offs = _chr_addr(ordch +1) return _mvfont[offset + 2:next_offs], width

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b429e42a10695ba92435caa1540e4753e897d00e

156

py

Python

models/utils.py

shizhouxing/Fast-Certified-Robust-Training

addac383f6fac58d1bae8a231cf0ac9dab405a06

[ "BSD-3-Clause" ]

16

2021-04-06T11:57:39.000Z

2022-03-02T12:18:24.000Z

models/utils.py

shizhouxing/Fast-Certified-Robust-Training

addac383f6fac58d1bae8a231cf0ac9dab405a06

[ "BSD-3-Clause" ]

1

2021-10-30T02:11:57.000Z

2021-11-12T01:30:59.000Z

models/utils.py

shizhouxing/Fast-Certified-Robust-Training

addac383f6fac58d1bae8a231cf0ac9dab405a06

[ "BSD-3-Clause" ]

1

2022-01-06T07:54:34.000Z

import torch import torch.nn as nn import torch.nn.functional as F class Flatten(nn.Module): def forward(self, x): return x.view(x.size(0), -1)

22.285714

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b44f6f63c27938b280983fb7be784cf93bd448f0

41

py

Python

boa3_test/test_sc/variable_test/GlobalDeclarationWithoutAssignment.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

25

2020-07-22T19:37:43.000Z

2022-03-08T03:23:55.000Z

boa3_test/test_sc/variable_test/GlobalDeclarationWithoutAssignment.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

419

2020-04-23T17:48:14.000Z

2022-03-31T13:17:45.000Z

boa3_test/test_sc/variable_test/GlobalDeclarationWithoutAssignment.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

a: int def Main() -> int: return a

6.833333

18

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0.341463

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null

0

1

0

1

0

7

c32acf1de0094eb1e0efc07d07f7f6d518ae08ae

2,975

py

Python

ctc/ctc_model.py

mengzhu0308/Tencent-Verification-Code-Recognition

3afd20dc2ab754ee1f9746bd32d225b09241d694

[ "Apache-2.0" ]

null

ctc/ctc_model.py

mengzhu0308/Tencent-Verification-Code-Recognition

3afd20dc2ab754ee1f9746bd32d225b09241d694

[ "Apache-2.0" ]

1

2021-06-25T20:32:49.000Z

2021-06-27T13:24:09.000Z

ctc/ctc_model.py

mengzhu0308/Tencent-Verification-Code-Recognition

3afd20dc2ab754ee1f9746bd32d225b09241d694

[ "Apache-2.0" ]

null

#! -*- coding:utf-8 -*- ''' @Author: ZM @Date and Time: 2021/1/8 16:23 @File: ctc_model.py ''' from keras.layers import * def CTC_Model(x, num_classes=26): x = Conv2D(16, 3, use_bias=False, padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(32, 3, use_bias=False, padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) residual = Conv2D(64, 1, strides=2, use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(64, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(64, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D(pool_size=3, strides=2, padding='same')(x) x = add([x, residual]) residual = Conv2D(128, 1, strides=2, use_bias=False)(x) residual = BatchNormalization()(residual) x = Activation('relu')(x) x = SeparableConv2D(128, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(128, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D(pool_size=3, strides=2, padding='same')(x) x = add([x, residual]) residual = Conv2D(364, 1, strides=2, use_bias=False)(x) residual = BatchNormalization()(residual) x = Activation('relu')(x) x = SeparableConv2D(364, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(364, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D(pool_size=3, strides=2, padding='same')(x) x = add([x, residual]) for i in range(8): residual = x x = Activation('relu')(x) x = SeparableConv2D(364, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(364, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(364, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = add([residual, x]) residual = Conv2D(512, 1, strides=2, use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(364, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(512, 3, padding='same', use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D(pool_size=3, strides=2, padding='same')(x) x = add([x, residual]) x = Permute((2, 1, 3))(x) x = Reshape((9, -1))(x) x = Bidirectional(CuDNNLSTM(256, return_sequences=True))(x) x = Bidirectional(CuDNNLSTM(128, return_sequences=True))(x) x = Bidirectional(CuDNNLSTM(512, return_sequences=True))(x) x = Dense(num_classes + 1)(x) return x

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null

0

1

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1

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null

0

7

c3520349464129844484c4a19bbb4670712c35ef

86

py

Python

Services/__init__.py

GeneralizedLearningUtilities/Dinosaurs

7e18f1f7f28ff84e8e606a9670809ce6cf38f0db

[ "Apache-2.0" ]

null

Services/__init__.py

GeneralizedLearningUtilities/Dinosaurs

7e18f1f7f28ff84e8e606a9670809ce6cf38f0db

[ "Apache-2.0" ]

null

Services/__init__.py

GeneralizedLearningUtilities/Dinosaurs

7e18f1f7f28ff84e8e606a9670809ce6cf38f0db

[ "Apache-2.0" ]

null

import Util.ModuleRegistration Util.ModuleRegistration.importAllInDirectory(__file__)

28.666667

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0.906977

7

86

10.571429

0.714286

0.594595

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null

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0

1

0

1

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7

5edafb6a8d469b15eca245a326de97f79f07087f

56

py

Python

tests/square_2d/test.py

saustinp/3D-CG

8d3e161674273649af1f23b2a0e1d5100971477a

[ "MIT" ]

null

tests/square_2d/test.py

saustinp/3D-CG

8d3e161674273649af1f23b2a0e1d5100971477a

[ "MIT" ]

null

tests/square_2d/test.py

saustinp/3D-CG

8d3e161674273649af1f23b2a0e1d5100971477a

[ "MIT" ]

null

from main import test_2d_square print(test_2d_square())

18.666667

31

0.839286

10

56

4.3

0.7

0.27907

0.55814

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null

0

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1

0

7

5ee17bfcf18cc3e4b38ebdfab21ae9f922f96cd7

9,940

py

Python

mmdet/models/losses/combine_loss.py

hmtrii/mmdetection

a998e0ac45118482b4a1fa320c2f0611f35fb0d1

[ "Apache-2.0" ]

null

mmdet/models/losses/combine_loss.py

hmtrii/mmdetection

a998e0ac45118482b4a1fa320c2f0611f35fb0d1

[ "Apache-2.0" ]

null

mmdet/models/losses/combine_loss.py

hmtrii/mmdetection

a998e0ac45118482b4a1fa320c2f0611f35fb0d1

[ "Apache-2.0" ]

null

import torch import torch.nn as nn from ..builder import LOSSES, build_loss @LOSSES.register_module() class BCE_Boundary_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(BCE_Boundary_Loss, self).__init__() loss_mask_1=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0) loss_mask_2=dict(type='BoundaryLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): bce_loss = self.cls_criterion_1(pred, target, label) boundary_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = bce_loss + cur_alpha*boundary_loss elif self.alpha_strategy == "increase": combine_loss = bce_loss + cur_alpha*boundary_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*bce_loss + cur_alpha*boundary_loss self.count_iter += 1 return combine_loss @LOSSES.register_module() class BCE_HD_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(BCE_HD_Loss, self).__init__() loss_mask_1=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0) loss_mask_2=dict(type='HausdorffDTLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): bce_loss = self.cls_criterion_1(pred, target, label) hd_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = bce_loss +cur_alpha*hd_loss elif self.alpha_strategy == "increase": combine_loss = bce_loss + cur_alpha*hd_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*bce_loss + cur_alpha*hd_loss self.count_iter += 1 return combine_loss @LOSSES.register_module() class Dice_BD_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(Dice_BD_Loss, self).__init__() loss_mask_1=dict(type='DiceLoss') loss_mask_2=dict(type='BoundaryLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): dice_loss = self.cls_criterion_1(pred, target, label) bd_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = dice_loss + cur_alpha*bd_loss elif self.alpha_strategy == "increase": combine_loss = dice_loss + cur_alpha*bd_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*dice_loss + cur_alpha*bd_loss self.count_iter += 1 return combine_loss @LOSSES.register_module() class Dice_HD_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(Dice_HD_Loss, self).__init__() loss_mask_1=dict(type='DiceLoss') loss_mask_2=dict(type='HausdorffDTLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): dice_loss = self.cls_criterion_1(pred, target, label) hd_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = dice_loss + cur_alpha*hd_loss elif self.alpha_strategy == "increase": combine_loss = dice_loss + cur_alpha*hd_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*dice_loss + cur_alpha*hd_loss self.count_iter += 1 return combine_loss @LOSSES.register_module() class BCE_SDF_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(BCE_SDF_Loss, self).__init__() loss_mask_1=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0) loss_mask_2=dict(type='SDFLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): bce_loss = self.cls_criterion_1(pred, target, label) sdf_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = bce_loss + cur_alpha*sdf_loss elif self.alpha_strategy == "increase": combine_loss = bce_loss + cur_alpha*sdf_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*bce_loss + cur_alpha*sdf_loss self.count_iter += 1 return combine_loss @LOSSES.register_module() class Dice_SDF_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(Dice_SDF_Loss, self).__init__() loss_mask_1=dict(type='DiceLoss') loss_mask_2=dict(type='SDFLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): dice_loss = self.cls_criterion_1(pred, target, label) sdf_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = dice_loss + cur_alpha*sdf_loss elif self.alpha_strategy == "increase": combine_loss = dice_loss + cur_alpha*sdf_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*dice_loss + cur_alpha*sdf_loss self.count_iter += 1 return combine_loss @LOSSES.register_module() class BCE_Dice_Loss(nn.Module): def __init__(self, start_alpha, step_alpha, max_alpha, alpha_strategy): super(BCE_Dice_Loss, self).__init__() loss_mask_1=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0) loss_mask_2=dict(type='DiceLoss') self.cls_criterion_1 = build_loss(loss_mask_1) self.cls_criterion_2 = build_loss(loss_mask_2) self.start_alpha = start_alpha self.max_alpha = max_alpha self.step_alpha = step_alpha self.alpha_strategy = alpha_strategy self.count_iter = 0 def forward(self, pred, target, label): bce_loss = self.cls_criterion_1(pred, target, label) dice_loss = self.cls_criterion_2(pred, target, label) cur_alpha = self.start_alpha + int(self.count_iter / 1120) * self.step_alpha if cur_alpha > self.max_alpha: cur_alpha = self.max_alpha if self.alpha_strategy == "constant": # if constant: alpha, step_alpha = 0.0, max_alpha = 1.0 combine_loss = bce_loss + cur_alpha*dice_loss elif self.alpha_strategy == "increase": combine_loss = bce_loss + cur_alpha*dice_loss elif self.alpha_strategy == "rebalance": combine_loss = (1-cur_alpha)*bce_loss + cur_alpha*dice_loss self.count_iter += 1 return combine_loss

42.478632

85

0.648994

1,357

9,940

4.365512

0.043478

0.066172

0.075625

0.060263

0.982782

0.975017

0.968433

0.966745

0

0.019184

0.260563

9,940

234

86

42.478632

0.786803

0.037928

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0

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0.072917

false

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0

null

0

1

0

1

0

null

0

7

5ef413f33aa8fca3d3259d7fc81852423f83e291

278

py

Python

Main/Test_Python_1.py

tamalbag117/Python_Practice

52d008682b9828043617b789a8ebf441048cd0de

[ "MIT" ]

null

Main/Test_Python_1.py

tamalbag117/Python_Practice

52d008682b9828043617b789a8ebf441048cd0de

[ "MIT" ]

null

Main/Test_Python_1.py

tamalbag117/Python_Practice

52d008682b9828043617b789a8ebf441048cd0de

[ "MIT" ]

null

f1 = open("name.txt") print(f1.tell()) print(f1.readline()) print(f1.tell()) print(f1.readline()) print(f1.tell()) print(f1.readline()) print(f1.tell()) print(f1.readline()) print(f1.tell()) print(f1.readline()) print(f1.tell()) print(f1.readline()) print(f1.tell()) f1.close()

17.375

21

0.672662

45

278

4.155556

0.177778

0.486631

0.411765

0.513369

0.893048

0

0.057471

0.061151

278

15

22

18.533333

0.659004

0

0.866667

0

0.028777

0

1

0

false

0

0.866667

0

null

1

0

1

0

null

0

1

0

11

6f04c5bc885f9b2a867972c4577b2d8121faad37

358

py

Python

OpenGLCffi/GL/EXT/NV/copy_image.py

cydenix/OpenGLCffi

c78f51ae5e6b655eb2ea98f072771cf69e2197f3

[ "MIT" ]

null

OpenGLCffi/GL/EXT/NV/copy_image.py

cydenix/OpenGLCffi

c78f51ae5e6b655eb2ea98f072771cf69e2197f3

[ "MIT" ]

null

OpenGLCffi/GL/EXT/NV/copy_image.py

cydenix/OpenGLCffi

c78f51ae5e6b655eb2ea98f072771cf69e2197f3

[ "MIT" ]

null

from OpenGLCffi.GL import params @params(api='gl', prms=['srcName', 'srcTarget', 'srcLevel', 'srcX', 'srcY', 'srcZ', 'dstName', 'dstTarget', 'dstLevel', 'dstX', 'dstY', 'dstZ', 'width', 'height', 'depth']) def glCopyImageSubDataNV(srcName, srcTarget, srcLevel, srcX, srcY, srcZ, dstName, dstTarget, dstLevel, dstX, dstY, dstZ, width, height, depth): pass

51.142857

172

0.687151

42

358

5.857143

0.595238

0.130081

0.195122

0.227642

0.715447

0

0.111732

358

6

173

59.666667

0.773585

0

0.252809

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0.25

false

0.25

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1

0

null

0

1

0

1

0

10

6f4573f0f4d72bc0f74a21e2bd725440effc6160

557

py

Python

src/Strings/example3.py

ogycode/PythonFromZero

5d1e3967c7a1ddc53fd6b5551c4154bb601f351a

[ "Apache-2.0" ]

null

src/Strings/example3.py

ogycode/PythonFromZero

5d1e3967c7a1ddc53fd6b5551c4154bb601f351a

[ "Apache-2.0" ]

null

src/Strings/example3.py

ogycode/PythonFromZero

5d1e3967c7a1ddc53fd6b5551c4154bb601f351a

[ "Apache-2.0" ]

1

2021-02-27T06:51:05.000Z

print("Strings, (c) Verloka Vadim 2018\n\n\n") S1 = "Hello, {0}, how are you{1}" print(S1.format("Vadim", "?")) print("{:<20}".format("left")) print("{:>20}".format("right")) print("{:^20}".format("right")) print("{:*<20}".format("left")) print("{:*>20}".format("right")) print("{:*^20}".format("right")) print("{:1<20}".format("left")) print("{:1>20}".format("right")) print("{:1^20}".format("right")) print("int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}".format(10076)) print("int: {0:d}; hex: {0:#x}; oct: {0:#o}; bin: {0:#b}".format(10076))

27.85

75

0.54219

89

557

3.393258

0.303371

0.238411

0.258278

0.357616

0.761589

0.725166

0.60596

0

0.092702

0.089767

557

20

75

27.85

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null

1

0

1

0

1

0

null

0

1

0

7

48a289a508c766bae8e7421dee702c66a0192461

229

py

Python

chapter-3/Rendering HTML/app/simple_app/views.py

PacktPublishing/Real-time-Django

07480a089fc0880d752d4ee5740ae6587de93aee

[ "MIT" ]

null

chapter-3/Rendering HTML/app/simple_app/views.py

PacktPublishing/Real-time-Django

07480a089fc0880d752d4ee5740ae6587de93aee

[ "MIT" ]

null

chapter-3/Rendering HTML/app/simple_app/views.py

PacktPublishing/Real-time-Django

07480a089fc0880d752d4ee5740ae6587de93aee

[ "MIT" ]

null

from django.shortcuts import render def index(request): return render(request, 'index.html', {}) def bingo(request): return render(request, 'bingo.html', {}) def bmi(request): return render(request, 'bmi.html', {})

22.9

44

0.681223

29

229

5.37931

0.413793

0.25

0.365385

0.5

0

0.157205

229

10

45

22.9

0.80829

0

0.121739

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1

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false

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0.142857

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1

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0

null

1

0

null

0

1

0

1

0

7

48ad224d6542afa788bbd90cec58b55c4848d133

21,997

py

Python

project/apps/salesforce/models.py

barberscore/barberscore-api

2aa9f8598c18c28ba1d4a294f76fd055619f803e

[ "BSD-2-Clause" ]

13

2017-08-07T15:45:49.000Z

2019-07-03T13:58:50.000Z

project/apps/salesforce/models.py

barberscore/barberscore-api

2aa9f8598c18c28ba1d4a294f76fd055619f803e

[ "BSD-2-Clause" ]

309

2017-07-14T02:34:12.000Z

2022-01-14T21:37:02.000Z

project/apps/salesforce/models.py

barberscore/barberscore-api

2aa9f8598c18c28ba1d4a294f76fd055619f803e

[ "BSD-2-Clause" ]

5

2017-08-07T14:01:07.000Z

2019-06-24T19:44:55.000Z

import json # Third-Party from model_utils import Choices from distutils.util import strtobool # Local from apps.bhs.models import Convention, Award, Chart, Group, Person from apps.registration.models import Contest, Session, Assignment, Entry class SfConvention: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Name if hasattr(n, 'sf_Name'): d['name'] = str(n.sf_Name.cdata) # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Season if hasattr(n, 'sf_BS_Season__c'): season = int(float(n.sf_BS_Season__c.cdata)) d['season'] = season # Panel if hasattr(n, 'sf_BS_Panel__c'): d['panel'] = int(float(n.sf_BS_Panel__c.cdata)) # Year if hasattr(n, 'sf_Year__c'): d['year'] = int(n.sf_Year__c.cdata) # Open Date if hasattr(n, 'sf_Open_Date__c'): d['open_date'] = n.sf_Open_Date__c.cdata # Close Date if hasattr(n, 'sf_Close_Date__c'): d['close_date'] = n.sf_Close_Date__c.cdata # Start Date if hasattr(n, 'sf_Start_Date__c'): d['start_date'] = n.sf_Start_Date__c.cdata # End Date if hasattr(n, 'sf_End_Date__c'): d['end_date'] = n.sf_End_Date__c.cdata # Venue if hasattr(n, 'sf_Venue__c'): d['venue_name'] = n.sf_Venue__c.cdata # Location if hasattr(n, 'sf_Location__c'): d['location'] = n.sf_Location__c.cdata # Time Zone if hasattr(n, 'sf_Time_Zone__c'): d['timezone'] = n.sf_Time_Zone__c.cdata # Description d['description'] = n.sf_Description__c.cdata if hasattr(n, 'sf_Description__c') else "" # Divisions if hasattr(n, 'sf_BS_Division__c'): d['divisions'] = n.sf_BS_Division__c.cdata # Kinds if hasattr(n, 'sf_BS_Kind__c'): d['kinds'] = n.sf_BS_Kind__c.cdata # Return parsed dict return d class SfAward: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Name if hasattr(n, 'sf_Name'): d['name'] = n.sf_Name.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Kind if hasattr(n, 'sf_BS_Kind__c'): d['kind'] = int(float(n.sf_BS_Kind__c.cdata)) # Gender d['gender'] = int(float(n.sf_BS_Classification__c.cdata)) if hasattr(n, 'sf_BS_Classification__c') else None # Level if hasattr(n, 'sf_BS_Level__c'): d['level'] = int(float(n.sf_BS_Level__c.cdata)) # Season if hasattr(n, 'sf_BS_Season__c'): d['season'] = int(float(n.sf_BS_Season__c.cdata)) # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Divisions d['division'] = int(float(n.sf_BS_Division__c.cdata)) if hasattr(n, 'sf_BS_Division__c') else None # Is Single if hasattr(n, 'sf_is_single__c'): d['is_single'] = bool(strtobool(n.sf_is_single__c.cdata)) # Threshold d['threshold'] = float(n.sf_Threshold__c.cdata) if hasattr(n, 'sf_Threshold__c') else None # Minimum d['minimum'] = float(n.sf_Minimum__c.cdata) if hasattr(n, 'sf_Minimum__c') else None # advance d['advance'] = float(n.sf_Advance__c.cdata) if hasattr(n, 'sf_Advance__c') else None # spots d['spots'] = int(float(n.sf_Spots__c.cdata)) if hasattr(n, 'sf_Spots__c') else None # Description d['description'] = n.sf_Description__c.cdata if hasattr(n, 'sf_Description__c') else "" # Notes d['notes'] = n.sf_Notes__c.cdata if hasattr(n, 'sf_Notes__c') else "" # Age d['age'] = int(float(n.sf_BS_Age__c.cdata)) if hasattr(n, 'sf_BS_Age__c') else None # Is Novice if hasattr(n, 'sf_is_novice__c'): d['is_novice'] = bool(strtobool(n.sf_is_novice__c.cdata)) # Size d['size'] = int(float(n.sf_BS_Size__c.cdata)) if hasattr(n, 'sf_BS_Size__c') else None # Size Range d['size_range'] = n.sf_Size_Range__c.cdata if hasattr(n, 'sf_Size_Range__c') else None # Scope d['scope'] = int(float(n.sf_BS_Scope__c.cdata)) if hasattr(n, 'sf_BS_Scope__c') else None # Scope Range d['scope_range'] = n.sf_Scope_Range__c.cdata if hasattr(n, 'sf_Scope_Range__c') else None # Tree Sort d['tree_sort'] = int(float(n.sf_Tree_Sort__c.cdata)) if hasattr(n, 'sf_Tree_Sort__c') else None # Return parsed dict return d class SfChart: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Name if hasattr(n, 'sf_Name'): d['title'] = n.sf_Name.cdata # Arrangers if hasattr(n, 'sf_Arrangers__c'): d['arrangers'] = n.sf_Arrangers__c.cdata # Composer d['composers'] = n.sf_Composers__c.cdata if hasattr(n, 'sf_Composers__c') else "" # Lyricist d['lyricists'] = n.sf_Lyricists__c.cdata if hasattr(n, 'sf_Lyricists__c') else "" # Holders d['holders'] = n.sf_Holders__c.cdata if hasattr(n, 'sf_Holders__c') else "" # Description d['description'] = n.sf_Description__c.cdata if hasattr(n, 'sf_Description__c') else "" # Notes d['notes'] = n.sf_Notes__c.cdata if hasattr(n, 'sf_Notes__c') else "" # Return parsed dict return d class SfGroup: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Name if hasattr(n, 'sf_Name'): d['name'] = n.sf_Name.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Kind if hasattr(n, 'sf_BS_Kind__c'): d['kind'] = int(float(n.sf_BS_Kind__c.cdata)) # Gender if hasattr(n, 'sf_BS_Classification__c'): d['gender'] = int(float(n.sf_BS_Classification__c.cdata)) # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Divisions d['division'] = int(float(n.sf_BS_Division__c.cdata)) if hasattr(n, 'sf_BS_Division__c') else None # bhs_id if hasattr(n, 'sf_cfg_Member_Id__c') and n.sf_cfg_Member_Id__c.cdata.isalnum(): # Is a Chorus # code d['code'] = n.sf_cfg_Member_Id__c.cdata if hasattr(n, 'sf_cfg_Member_Id__c') else "" elif hasattr(n, 'sf_cfg_Member_Id__c'): # Is a Quartet d['bhs_id'] = int(n.sf_cfg_Member_Id__c.cdata) if hasattr(n, 'sf_cfg_Member_Id__c') else None # Return parsed dict return d class SfPerson: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Name if hasattr(n, 'sf_FirstName') and hasattr(n, 'sf_LastName'): d['name'] = n.sf_FirstName.cdata + " " + n.sf_LastName.cdata # First Name d['first_name'] = n.sf_FirstName.cdata if hasattr(n, 'sf_FirstName') else "" # Last Name d['last_name'] = n.sf_LastName.cdata if hasattr(n, 'sf_LastName') else "" # part d['part'] = int(float(n.sf_BS_VoicePart__c.cdata)) if hasattr(n, 'sf_BS_VoicePart__c') else None # Gender d['gender'] = int(float(n.sf_BS_Gender__c.cdata)) if hasattr(n, 'sf_BS_Gender__c') else None # Email d['email'] = n.sf_npe01__HomeEmail__c.cdata if hasattr(n, 'sf_npe01__HomeEmail__c') else "" # Home Phone d['home_phone'] = n.sf_HomePhone.cdata if hasattr(n, 'sf_HomePhone') else "" # Cell Phone d['cell_phone'] = n.sf_MobilePhone.cdata if hasattr(n, 'sf_MobilePhone') else "" # BHS ID d['bhs_id'] = int(n.sf_cfg_Member_Number__c.cdata) if hasattr(n, 'sf_cfg_Member_Number__c') else None # Return parsed dict return d class SfSession: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Kind if hasattr(n, 'sf_BS_Kind__c'): d['kind'] = int(float(n.sf_BS_Kind__c.cdata)) # Num Rounds if hasattr(n, 'sf_Num_rounds__c'): d['num_rounds'] = int(float(n.sf_Num_rounds__c.cdata)) # Is Invitational if hasattr(n, 'sf_is_invitational__c'): d['is_invitational'] = bool(strtobool(n.sf_is_invitational__c.cdata)) # Description d['description'] = n.sf_Description__c.cdata if hasattr(n, 'sf_Description__c') else "" # Notes d['notes'] = n.sf_Notes__c.cdata if hasattr(n, 'sf_Notes__c') else "" # Footnotes d['footnotes'] = n.sf_Footnotes__c.cdata if hasattr(n, 'sf_Footnotes__c') else "" if hasattr(n, 'sf_BS_Convention_UUID__c'): d['convention_id'] = n.sf_BS_Convention_UUID__c.cdata # Name if hasattr(n, 'sf_Name'): d['name'] = n.sf_Name.cdata # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Season if hasattr(n, 'sf_BS_Season__c'): d['season'] = int(float(n.sf_BS_Season__c.cdata)) # Panel if hasattr(n, 'sf_BS_Panel__c'): d['panel'] = int(float(n.sf_BS_Panel__c.cdata)) # Year if hasattr(n, 'sf_Year__c'): d['year'] = int(n.sf_Year__c.cdata) # Open Date if hasattr(n, 'sf_Open_Date__c'): d['open_date'] = n.sf_Open_Date__c.cdata # Close Date if hasattr(n, 'sf_Close_Date__c'): d['close_date'] = n.sf_Close_Date__c.cdata # Start Date if hasattr(n, 'sf_Start_Date__c'): d['start_date'] = n.sf_Start_Date__c.cdata # End Date if hasattr(n, 'sf_End_Date__c'): d['end_date'] = n.sf_End_Date__c.cdata # Venue if hasattr(n, 'sf_Venue__c'): d['venue_name'] = n.sf_Venue__c.cdata # Location if hasattr(n, 'sf_Location__c'): d['location'] = n.sf_Location__c.cdata # Time Zone if hasattr(n, 'sf_Time_Zone__c'): d['timezone'] = n.sf_Time_Zone__c.cdata # Divisions if hasattr(n, 'sf_BS_Division__c'): d['divisions'] = n.sf_BS_Division__c.cdata # Return parsed dict return d class SfContest: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Award ID if hasattr(n, 'sf_BS_Award_UUID__c'): d['award_id'] = n.sf_BS_Award_UUID__c.cdata # Name if hasattr(n, 'sf_Name'): d['name'] = n.sf_Name.cdata # Kind if hasattr(n, 'sf_BS_Kind__c'): d['kind'] = int(float(n.sf_BS_Kind__c.cdata)) # Gender d['gender'] = int(float(n.sf_BS_Classification__c.cdata)) if hasattr(n, 'sf_BS_Classification__c') else None # Level if hasattr(n, 'sf_BS_Level__c'): d['level'] = int(float(n.sf_BS_Level__c.cdata)) # Season if hasattr(n, 'sf_BS_Season__c'): d['season'] = int(float(n.sf_BS_Season__c.cdata)) # Description d['description'] = n.sf_Description__c.cdata if hasattr(n, 'sf_Description__c') else "" # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Divisions d['division'] = int(float(n.sf_BS_Division__c.cdata)) if hasattr(n, 'sf_BS_Division__c') else None # Age d['age'] = int(float(n.sf_BS_Age__c.cdata)) if hasattr(n, 'sf_BS_Age__c') else None # Is Novice if hasattr(n, 'sf_is_novice__c'): d['is_novice'] = bool(strtobool(n.sf_is_novice__c.cdata)) # Is Single if hasattr(n, 'sf_is_single__c'): d['is_single'] = bool(strtobool(n.sf_is_single__c.cdata)) # Size d['size'] = int(float(n.sf_BS_Size__c.cdata)) if hasattr(n, 'sf_BS_Size__c') else None # Size Range d['size_range'] = n.sf_Size_Range__c.cdata if hasattr(n, 'sf_Size_Range__c') else None # Scope d['scope'] = int(float(n.sf_BS_Scope__c.cdata)) if hasattr(n, 'sf_BS_Scope__c') else None # Scope Range d['scope_range'] = n.sf_Scope_Range__c.cdata if hasattr(n, 'sf_Scope_Range__c') else None # Tree Sort d['tree_sort'] = int(float(n.sf_Tree_Sort__c.cdata)) if hasattr(n, 'sf_Tree_Sort__c') else None # Session ID if hasattr(n, 'sf_BS_Session_UUID__c'): d['session_id'] = n.sf_BS_Session_UUID__c.cdata # Return parsed dict return d class SfAssignment: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Kind if hasattr(n, 'sf_BS_Type__c'): d['kind'] = int(float(n.sf_BS_Type__c.cdata)) # Category if hasattr(n, 'sf_BS_Category__c'): d['category'] = int(float(n.sf_BS_Category__c.cdata)) # Person ID if hasattr(n, 'sf_BS_Contact_UUID__c'): d['person_id'] = n.sf_BS_Contact_UUID__c.cdata # Name d['name'] = n.sf_Name__c.cdata if hasattr(n, 'sf_Name__c') else None # First Name d['first_name'] = n.sf_FirstName__c.cdata if hasattr(n, 'sf_FirstName__c') else None # Last Name d['last_name'] = n.sf_LastName__c.cdata if hasattr(n, 'sf_LastName__c') else None # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Area if hasattr(n, 'sf_Area__c'): d['area'] = n.sf_Area__c.cdata # Email d['email'] = n.sf_HomeEmail__c.cdata if hasattr(n, 'sf_HomeEmail__c') else None # Cell Phone d['cell_phone'] = n.sf_MobilePhone__c.cdata if hasattr(n, 'sf_MobilePhone__c') else None # Airports d['airports'] = n.sf_Airports__c.cdata if hasattr(n, 'sf_Airports__c') else None # BHS ID d['bhs_id'] = int(n.sf_cfg_Member_Number__c.cdata) if hasattr(n, 'sf_cfg_Member_Number__c') else None # Session ID if hasattr(n, 'sf_BS_Session_UUID__c'): d['session_id'] = n.sf_BS_Session_UUID__c.cdata # Return parsed dict return d class SfEntry: def parse_sf_notification(n): d = {} # Created if hasattr(n, 'sf_CreatedDate'): d['created'] = n.sf_CreatedDate.cdata # Modified if hasattr(n, 'sf_LastModifiedDate'): d['modified'] = n.sf_LastModifiedDate.cdata # UUID if hasattr(n, 'sf_BS_UUID__c'): d['id'] = n.sf_BS_UUID__c.cdata # Status if hasattr(n, 'sf_BS_Status__c'): d['status'] = int(float(n.sf_BS_Status__c.cdata)) # Is Evaluation if hasattr(n, 'sf_is_evaluation__c'): d['is_evaluation'] = bool(strtobool(n.sf_is_evaluation__c.cdata)) # Is Private if hasattr(n, 'sf_is_private__c'): d['is_private'] = bool(strtobool(n.sf_is_private__c.cdata)) # Is MT if hasattr(n, 'sf_is_mt__c'): d['is_mt'] = bool(strtobool(n.sf_is_mt__c.cdata)) # Is Senior if hasattr(n, 'sf_is_senior__c'): d['is_senior'] = bool(strtobool(n.sf_is_senior__c.cdata)) # Is Youth if hasattr(n, 'sf_is_youth__c'): d['is_youth'] = bool(strtobool(n.sf_is_youth__c.cdata)) # Draw d['draw'] = int(float(n.sf_Draw_Order__c.cdata)) if hasattr(n, 'sf_Draw_Order__c') else None # Prelim d['prelim'] = float(n.sf_Prelim__c.cdata) if hasattr(n, 'sf_Prelim__c') else None # Base d['base'] = float(n.sf_Base__c.cdata) if hasattr(n, 'sf_Base__c') else None # Participants d['participants'] = n.sf_Participants__c.cdata if hasattr(n, 'sf_Participants__c') else "" # POS d['pos'] = int(float(n.sf_Persons_On_Stage__c.cdata)) if hasattr(n, 'sf_Persons_On_Stage__c') else None # Area if hasattr(n, 'sf_Organization__c'): d['area'] = n.sf_Organization__c.cdata # Chapters d['chapters'] = n.sf_Chapters__c.cdata if hasattr(n, 'sf_Chapters__c') else "" # Description d['description'] = n.sf_Description__c.cdata if hasattr(n, 'sf_Description__c') else "" # Notes d['notes'] = n.sf_Notes__c.cdata if hasattr(n, 'sf_Notes__c') else "" # Group ID if hasattr(n, 'sf_BS_Account_UUID__c'): d['group_id'] = n.sf_BS_Account_UUID__c.cdata # Name if hasattr(n, 'sf_Name'): d['name'] = n.sf_Name.cdata # Kind if hasattr(n, 'sf_BS_Kind__c'): d['kind'] = int(float(n.sf_BS_Kind__c.cdata)) # Gender if hasattr(n, 'sf_BS_Classification__c'): d['gender'] = int(float(n.sf_BS_Classification__c.cdata)) # District if hasattr(n, 'sf_BS_District__c'): d['district'] = int(float(n.sf_BS_District__c.cdata)) # Divisions d['division'] = int(float(n.sf_BS_Division__c.cdata)) if hasattr(n, 'sf_BS_Division__c') else None if hasattr(n, 'sf_cfg_Member_Id__c'): if (n.sf_cfg_Member_Id__c.cdata.isdigit()): # BHS ID d['bhs_id'] = int(n.sf_cfg_Member_Id__c.cdata) else: # code d['code'] = n.sf_cfg_Member_Id__c.cdata # Session ID if hasattr(n, 'sf_BS_Session_UUID__c'): d['session_id'] = n.sf_BS_Session_UUID__c.cdata # Return parsed dict return d class SfEntryContest: def parse_sf_notification(n): d = {} # Contest UUID if hasattr(n, 'sf_BS_Contest_UUID__c'): d['contest_id'] = n.sf_BS_Contest_UUID__c.cdata # Entry UUID if hasattr(n, 'sf_BS_Entry_UUID__c'): d['entry_id'] = n.sf_BS_Entry_UUID__c.cdata # Is Deleted if hasattr(n, 'sf_IsDeleted'): d['deleted'] = bool(strtobool(n.sf_IsDeleted.cdata)) # Return parsed dict return d class SfGroupChart: def parse_sf_notification(n): d = {} # Group UUID if hasattr(n, 'sf_BS_Account_UUID__c'): d['group_id'] = n.sf_BS_Account_UUID__c.cdata # Chart UUID if hasattr(n, 'sf_BS_Chart_UUID__c'): d['chart_id'] = n.sf_BS_Chart_UUID__c.cdata # Is Deleted if hasattr(n, 'sf_IsDeleted'): d['deleted'] = bool(strtobool(n.sf_IsDeleted.cdata)) # Return parsed dict return d

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0.153133

0.181659

0.860606

0.807578

0.735212

0.721124

0.688134

0.677721

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0.000258

0.295677

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735

117

29.927891

0.737365

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0.720588

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0

1

0

1

0

1

0

null

0

7

48d98084301ed528e1a9c6542931e9937af6b22e

191

py

Python

gacha_elper/error/__init__.py

rahagi/gacha-elper

e81bd82c3416a01e448ba1ce2515252235facdac

[ "MIT" ]

null

gacha_elper/error/__init__.py

rahagi/gacha-elper

e81bd82c3416a01e448ba1ce2515252235facdac

[ "MIT" ]

null

gacha_elper/error/__init__.py

rahagi/gacha-elper

e81bd82c3416a01e448ba1ce2515252235facdac

[ "MIT" ]

null

from .adb_not_found import * from .adb_no_devices import * from .elper_invalid_find_mode import * from .elper_invalid_similarity_range import * from .elper_invalid_crop_bounding_box import *

31.833333

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0.842932

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191

5.068966

0.551724

0.272109

0.306122

0.44898

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0.104712

191

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null

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0

7

d2f6d0bcddafd1b32dcf43212757cbee60c7632a

34,580

py

Python

railrl/torch/sac/policies.py

Asap7772/rail-rl-franka-eval

4bf99072376828193d05b53cf83c7e8f4efbd3ba

[ "MIT" ]

null

railrl/torch/sac/policies.py

Asap7772/rail-rl-franka-eval

4bf99072376828193d05b53cf83c7e8f4efbd3ba

[ "MIT" ]

null

railrl/torch/sac/policies.py

Asap7772/rail-rl-franka-eval

4bf99072376828193d05b53cf83c7e8f4efbd3ba

[ "MIT" ]

null

import numpy as np import torch from torch import nn as nn from railrl.policies.base import ExplorationPolicy, Policy from railrl.torch.core import eval_np from railrl.torch.distributions import TanhNormal, Normal, GaussianMixture from railrl.torch.networks import Mlp, CNN from railrl.torch.vae.vae_base import GaussianLatentVAE import railrl.torch.pytorch_util as ptu import torch.nn.functional as F LOG_SIG_MAX = 2 LOG_SIG_MIN = -20 class TanhGaussianPolicyAdapter(nn.Module, ExplorationPolicy): """ Usage: ``` obs_processor = ... policy = TanhGaussianPolicyAdapter(obs_processor) ``` """ def __init__( self, obs_processor, obs_processor_output_dim, action_dim, hidden_sizes, ): super().__init__() self.obs_processor = obs_processor self.obs_processor_output_dim = obs_processor_output_dim self.mean_and_log_std_net = Mlp( hidden_sizes=hidden_sizes, output_size=action_dim*2, input_size=obs_processor_output_dim, ) self.action_dim = action_dim def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic)[0] def forward( self, obs, reparameterize=True, deterministic=False, return_log_prob=False, return_entropy=False, return_log_prob_of_mean=False, ): """ :param obs: Observation :param deterministic: If True, do not sample :param return_log_prob: If True, return a sample and its log probability :param return_entropy: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. :param return_log_prob_of_mean: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. """ h = self.obs_processor(obs) h = self.mean_and_log_std_net(h) mean, log_std = torch.split(h, self.action_dim, dim=1) log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) std = torch.exp(log_std) log_prob = None entropy = None mean_action_log_prob = None pre_tanh_value = None tanh_normal = TanhNormal(mean, std) if deterministic: action = torch.tanh(mean) else: tanh_normal = TanhNormal(mean, std) if return_log_prob: if reparameterize is True: action, pre_tanh_value = tanh_normal.rsample( return_pretanh_value=True ) else: action, pre_tanh_value = tanh_normal.sample( return_pretanh_value=True ) log_prob = tanh_normal.log_prob( action, pre_tanh_value=pre_tanh_value ) log_prob = log_prob.sum(dim=1, keepdim=True) else: if reparameterize is True: action = tanh_normal.rsample() else: action = tanh_normal.sample() if return_entropy: entropy = log_std + 0.5 + np.log(2 * np.pi) / 2 # I'm not sure how to compute the (differential) entropy for a # tanh(Gaussian) entropy = entropy.sum(dim=1, keepdim=True) raise NotImplementedError() if return_log_prob_of_mean: tanh_normal = TanhNormal(mean, std) mean_action_log_prob = tanh_normal.log_prob( torch.tanh(mean), pre_tanh_value=mean, ) mean_action_log_prob = mean_action_log_prob.sum(dim=1, keepdim=True) return ( action, mean, log_std, log_prob, entropy, std, mean_action_log_prob, pre_tanh_value, tanh_normal ) def log_prob_aviral(self, obs, actions): def atanh(x): one_plus_x = (1 + x).clamp(min=1e-6) one_minus_x = (1 - x).clamp(min=1e-6) return 0.5 * torch.log(one_plus_x / one_minus_x) raw_actions = atanh(actions) h = self.obs_processor(obs) h = self.mean_and_log_std_net(h) mean, log_std = torch.split(h, self.action_dim, dim=1) log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) std = torch.exp(log_std) tanh_normal = TanhNormal(mean, std) log_prob = tanh_normal.log_prob(value=actions, pre_tanh_value=raw_actions) return log_prob.sum(-1) # noinspection PyMethodOverriding class TanhGaussianPolicy(Mlp, ExplorationPolicy): """ Usage: ``` policy = TanhGaussianPolicy(...) action, mean, log_std, _ = policy(obs) action, mean, log_std, _ = policy(obs, deterministic=True) action, mean, log_std, log_prob = policy(obs, return_log_prob=True) ``` Here, mean and log_std are the mean and log_std of the Gaussian that is sampled from. If deterministic is True, action = tanh(mean). If return_log_prob is False (default), log_prob = None This is done because computing the log_prob can be a bit expensive. """ def __init__( self, hidden_sizes, obs_dim, action_dim, std=None, init_w=1e-3, **kwargs ): super().__init__( hidden_sizes, input_size=obs_dim, output_size=action_dim, init_w=init_w, **kwargs ) self.log_std = None self.std = std if std is None: last_hidden_size = obs_dim if len(hidden_sizes) > 0: last_hidden_size = hidden_sizes[-1] self.last_fc_log_std = nn.Linear(last_hidden_size, action_dim) self.last_fc_log_std.weight.data.uniform_(-init_w, init_w) self.last_fc_log_std.bias.data.uniform_(-init_w, init_w) else: self.log_std = np.log(std) assert LOG_SIG_MIN <= self.log_std <= LOG_SIG_MAX def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic)[0] def forward( self, obs, reparameterize=True, deterministic=False, return_log_prob=False, return_entropy=False, return_log_prob_of_mean=False, ): """ :param obs: Observation :param deterministic: If True, do not sample :param return_log_prob: If True, return a sample and its log probability :param return_entropy: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. :param return_log_prob_of_mean: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. """ h = obs for i, fc in enumerate(self.fcs): h = self.hidden_activation(fc(h)) mean = self.last_fc(h) if self.std is None: log_std = self.last_fc_log_std(h) log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) std = torch.exp(log_std) else: std = torch.from_numpy(np.array([self.std, ])).float().to(ptu.device) log_std = torch.log(std) # self.log_std log_prob = None entropy = None mean_action_log_prob = None pre_tanh_value = None tanh_normal = TanhNormal(mean, std) if deterministic: action = torch.tanh(mean) else: tanh_normal = TanhNormal(mean, std) if return_log_prob: if reparameterize is True: action, pre_tanh_value = tanh_normal.rsample( return_pretanh_value=True ) else: action, pre_tanh_value = tanh_normal.sample( return_pretanh_value=True ) log_prob = tanh_normal.log_prob( action, pre_tanh_value=pre_tanh_value ) log_prob = log_prob.sum(dim=1, keepdim=True) else: if reparameterize is True: action = tanh_normal.rsample() else: action = tanh_normal.sample() if return_entropy: entropy = log_std + 0.5 + np.log(2 * np.pi) / 2 # I'm not sure how to compute the (differential) entropy for a # tanh(Gaussian) entropy = entropy.sum(dim=1, keepdim=True) raise NotImplementedError() if return_log_prob_of_mean: tanh_normal = TanhNormal(mean, std) mean_action_log_prob = tanh_normal.log_prob( torch.tanh(mean), pre_tanh_value=mean, ) mean_action_log_prob = mean_action_log_prob.sum(dim=1, keepdim=True) return ( action, mean, log_std, log_prob, entropy, std, mean_action_log_prob, pre_tanh_value, tanh_normal ) def logprob(self, action, mean, std): # import ipdb; ipdb.set_trace() tanh_normal = TanhNormal(mean, std) log_prob = tanh_normal.log_prob( action, ) log_prob = log_prob.sum(dim=1, keepdim=True) return log_prob def log_prob_aviral(self, obs, actions): def atanh(x): one_plus_x = (1 + x).clamp(min=1e-6) one_minus_x = (1 - x).clamp(min=1e-6) return 0.5 * torch.log(one_plus_x / one_minus_x) raw_actions = atanh(actions) h = obs for i, fc in enumerate(self.fcs): h = self.hidden_activation(fc(h)) mean = self.last_fc(h) if self.std is None: log_std = self.last_fc_log_std(h) log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) std = torch.exp(log_std) else: std = self.std log_std = self.log_std tanh_normal = TanhNormal(mean, std) log_prob = tanh_normal.log_prob(value=actions, pre_tanh_value=raw_actions) return log_prob.sum(-1) class GaussianPolicy(Mlp, ExplorationPolicy): def __init__( self, hidden_sizes, obs_dim, action_dim, std=None, init_w=1e-3, min_log_std=None, max_log_std=None, std_architecture="shared", **kwargs ): super().__init__( hidden_sizes, input_size=obs_dim, output_size=action_dim, init_w=init_w, output_activation=torch.tanh, **kwargs ) self.min_log_std = min_log_std self.max_log_std = max_log_std self.log_std = None self.std = std self.std_architecture = std_architecture if std is None: if self.std_architecture == "shared": last_hidden_size = obs_dim if len(hidden_sizes) > 0: last_hidden_size = hidden_sizes[-1] self.last_fc_log_std = nn.Linear(last_hidden_size, action_dim) self.last_fc_log_std.weight.data.uniform_(-init_w, init_w) self.last_fc_log_std.bias.data.uniform_(-init_w, init_w) elif self.std_architecture == "values": self.log_std_logits = nn.Parameter(ptu.zeros(action_dim, requires_grad=True)) else: error else: self.log_std = np.log(std) assert LOG_SIG_MIN <= self.log_std <= LOG_SIG_MAX def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic)[0] def forward( self, obs, reparameterize=True, deterministic=False, return_log_prob=False, return_entropy=False, return_log_prob_of_mean=False, ): """ :param obs: Observation :param deterministic: If True, do not sample :param return_log_prob: If True, return a sample and its log probability :param return_entropy: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. :param return_log_prob_of_mean: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. """ h = obs for i, fc in enumerate(self.fcs): h = self.hidden_activation(fc(h)) preactivation = self.last_fc(h) mean = self.output_activation(preactivation) if self.std is None: # log_std = self.last_fc_log_std(h) # log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) if self.std_architecture == "shared": log_std = torch.sigmoid(self.last_fc_log_std(h)) elif self.std_architecture == "values": log_std = torch.sigmoid(self.log_std_logits) else: error log_std = self.min_log_std + log_std * (self.max_log_std - self.min_log_std) std = torch.exp(log_std) else: std = torch.from_numpy(np.array([self.std, ])).float().to(ptu.device) log_std = torch.log(std) # self.log_std log_prob = None entropy = None mean_action_log_prob = None pre_tanh_value = None normal = Normal(mean, std) if deterministic: action = mean else: if return_log_prob: if reparameterize is True: action = normal.rsample() else: action = normal.sample() log_prob = normal.log_prob(action) log_prob = log_prob.sum(dim=1, keepdim=True) else: if reparameterize is True: action = normal.rsample() else: action = normal.sample() if return_entropy: entropy = log_std + 0.5 + np.log(2 * np.pi) / 2 # I'm not sure how to compute the (differential) entropy for a # tanh(Gaussian) entropy = entropy.sum(dim=1, keepdim=True) raise NotImplementedError() if return_log_prob_of_mean: normal = Normal(mean, std) mean_action_log_prob = normal.log_prob(mean) mean_action_log_prob = mean_action_log_prob.sum(dim=1, keepdim=True) return ( action, mean, log_std, log_prob, entropy, std, mean_action_log_prob, pre_tanh_value, normal, ) class GaussianMixturePolicy(Mlp, ExplorationPolicy): def __init__( self, hidden_sizes, obs_dim, action_dim, std=None, init_w=1e-3, min_log_std=None, max_log_std=None, num_gaussians=1, std_architecture="shared", **kwargs ): super().__init__( hidden_sizes, input_size=obs_dim, output_size=action_dim * num_gaussians, init_w=init_w, # output_activation=torch.tanh, **kwargs ) self.action_dim = action_dim self.num_gaussians = num_gaussians self.min_log_std = min_log_std self.max_log_std = max_log_std self.log_std = None self.std = std self.std_architecture = std_architecture if std is None: last_hidden_size = obs_dim if len(hidden_sizes) > 0: last_hidden_size = hidden_sizes[-1] if self.std_architecture == "shared": self.last_fc_log_std = nn.Linear(last_hidden_size, action_dim * num_gaussians) self.last_fc_log_std.weight.data.uniform_(-init_w, init_w) self.last_fc_log_std.bias.data.uniform_(-init_w, init_w) elif self.std_architecture == "values": self.log_std_logits = nn.Parameter(ptu.zeros(action_dim * num_gaussians, requires_grad=True)) else: error else: self.log_std = np.log(std) assert LOG_SIG_MIN <= self.log_std <= LOG_SIG_MAX self.last_fc_weights = nn.Linear(last_hidden_size, num_gaussians) self.last_fc_weights.weight.data.uniform_(-init_w, init_w) self.last_fc_weights.bias.data.uniform_(-init_w, init_w) def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic)[0] def forward( self, obs, reparameterize=True, deterministic=False, return_log_prob=False, return_entropy=False, return_log_prob_of_mean=False, ): """ :param obs: Observation :param deterministic: If True, do not sample :param return_log_prob: If True, return a sample and its log probability :param return_entropy: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. :param return_log_prob_of_mean: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. """ h = obs for i, fc in enumerate(self.fcs): h = self.hidden_activation(fc(h)) preactivation = self.last_fc(h) mean = self.output_activation(preactivation) if self.std is None: # log_std = self.last_fc_log_std(h) # log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) # log_std = torch.sigmoid(self.last_fc_log_std(h)) if self.std_architecture == "shared": log_std = torch.sigmoid(self.last_fc_log_std(h)) elif self.std_architecture == "values": log_std = torch.sigmoid(self.log_std_logits) else: error log_std = self.min_log_std + log_std * (self.max_log_std - self.min_log_std) std = torch.exp(log_std) else: std = torch.from_numpy(self.std) log_std = self.log_std weights = F.softmax(self.last_fc_weights(h)).reshape((-1, self.num_gaussians, 1)) mixture_means = mean.reshape((-1, self.action_dim, self.num_gaussians, )) mixture_stds = std.reshape((-1, self.action_dim, self.num_gaussians, )) dist = GaussianMixture(mixture_means, mixture_stds, weights) # normal = Normal(mean, std) # import ipdb; ipdb.set_trace() mean = dist.mean() log_prob = None entropy = None mean_action_log_prob = None if deterministic: action = mean else: # normal = Normal(mean, std) if return_log_prob: if reparameterize is True: action = dist.rsample() else: action = dist.sample() log_prob = dist.log_prob(action) else: if reparameterize is True: action = dist.rsample() else: action = dist.sample() if return_entropy: entropy = log_std + 0.5 + np.log(2 * np.pi) / 2 # I'm not sure how to compute the (differential) entropy for a # tanh(Gaussian) entropy = entropy.sum(dim=1, keepdim=True) raise NotImplementedError() if return_log_prob_of_mean: normal = Normal(mean, std) mean_action_log_prob = normal.log_prob(mean) mean_action_log_prob = mean_action_log_prob.sum(dim=1, keepdim=True) return ( action, mean, log_std, log_prob, entropy, std, mean_action_log_prob, None, dist, ) class GaussianMixtureObsProcessorPolicy(GaussianMixturePolicy): def __init__(self, obs_processor, *args, **kwargs): super().__init__(*args, **kwargs) self.obs_processor = obs_processor def forward(self, obs, *args, **kwargs): h_obs = self.obs_processor(obs) return super().forward(h_obs, *args, **kwargs) class TanhGaussianObsProcessorPolicy(TanhGaussianPolicy): def __init__(self, obs_processor, *args, **kwargs): super().__init__(*args, **kwargs) self.pre_obs_dim = obs_processor.input_size self.pre_goal_dim = obs_processor.input_size self.obs_processor = obs_processor def forward(self, obs, *args, **kwargs): obs_and_goal = obs assert obs_and_goal.shape[1] == self.pre_obs_dim + self.pre_goal_dim obs = obs_and_goal[:, :self.pre_obs_dim] goal = obs_and_goal[:, self.pre_obs_dim:] h_obs = self.obs_processor(obs) h_goal = self.obs_processor(goal) flat_inputs = torch.cat((h_obs, h_goal), dim=1) return super().forward(flat_inputs, *args, **kwargs) # noinspection PyMethodOverriding class TanhCNNGaussianPolicy(CNN, ExplorationPolicy): """ Usage: ``` policy = TanhGaussianPolicy(...) action, mean, log_std, _ = policy(obs) action, mean, log_std, _ = policy(obs, deterministic=True) action, mean, log_std, log_prob = policy(obs, return_log_prob=True) ``` Here, mean and log_std are the mean and log_std of the Gaussian that is sampled from. If deterministic is True, action = tanh(mean). If return_log_prob is False (default), log_prob = None This is done because computing the log_prob can be a bit expensive. """ def __init__( self, std=None, init_w=1e-3, **kwargs ): super().__init__( init_w=init_w, **kwargs ) obs_dim = self.input_width * self.input_height action_dim = self.output_size self.log_std = None self.std = std if std is None: last_hidden_size = obs_dim if len(self.hidden_sizes) > 0: last_hidden_size = self.hidden_sizes[-1] self.last_fc_log_std = nn.Linear(last_hidden_size, action_dim) self.last_fc_log_std.weight.data.uniform_(-init_w, init_w) self.last_fc_log_std.bias.data.uniform_(-init_w, init_w) else: self.log_std = np.log(std) assert LOG_SIG_MIN <= self.log_std <= LOG_SIG_MAX def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic)[0] def forward( self, obs, reparameterize=True, deterministic=False, return_log_prob=False, return_entropy=False, return_log_prob_of_mean=False, ): """ :param obs: Observation :param deterministic: If True, do not sample :param return_log_prob: If True, return a sample and its log probability :param return_entropy: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. :param return_log_prob_of_mean: If True, return the true expected log prob. Will not need to be differentiated through, so this can be a number. """ h = super().forward(obs, return_last_activations=True) mean = self.last_fc(h) if self.std is None: log_std = self.last_fc_log_std(h) log_std = torch.clamp(log_std, LOG_SIG_MIN, LOG_SIG_MAX) std = torch.exp(log_std) else: std = self.std log_std = self.log_std log_prob = None entropy = None mean_action_log_prob = None pre_tanh_value = None if deterministic: action = torch.tanh(mean) else: tanh_normal = TanhNormal(mean, std) if return_log_prob: if reparameterize is True: action, pre_tanh_value = tanh_normal.rsample( return_pretanh_value=True ) else: action, pre_tanh_value = tanh_normal.sample( return_pretanh_value=True ) log_prob = tanh_normal.log_prob( action, pre_tanh_value=pre_tanh_value ) log_prob = log_prob.sum(dim=1, keepdim=True) else: if reparameterize is True: action = tanh_normal.rsample() else: action = tanh_normal.sample() if return_entropy: entropy = log_std + 0.5 + np.log(2 * np.pi) / 2 # I'm not sure how to compute the (differential) entropy for a # tanh(Gaussian) entropy = entropy.sum(dim=1, keepdim=True) raise NotImplementedError() if return_log_prob_of_mean: tanh_normal = TanhNormal(mean, std) mean_action_log_prob = tanh_normal.log_prob( torch.tanh(mean), pre_tanh_value=mean, ) mean_action_log_prob = mean_action_log_prob.sum(dim=1, keepdim=True) return ( action, mean, log_std, log_prob, entropy, std, mean_action_log_prob, pre_tanh_value, ) class VAEPolicy(Mlp, ExplorationPolicy): def __init__( self, hidden_sizes, obs_dim, action_dim, latent_dim, std=None, init_w=1e-3, **kwargs ): super().__init__( hidden_sizes, input_size=obs_dim, output_size=action_dim, init_w=init_w, **kwargs ) self.latent_dim = latent_dim self.e1 = torch.nn.Linear(obs_dim + action_dim, 750) self.e2 = torch.nn.Linear(750, 750) self.mean = torch.nn.Linear(750, self.latent_dim) self.log_std = torch.nn.Linear(750, self.latent_dim) self.d1 = torch.nn.Linear(obs_dim + self.latent_dim, 750) self.d2 = torch.nn.Linear(750, 750) self.d3 = torch.nn.Linear(750, action_dim) self.max_action = 1.0 self.latent_dim = latent_dim def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic, execute_actions=True)[0] def forward(self, state, action): z = F.relu(self.e1(torch.cat([state, action], 1))) z = F.relu(self.e2(z)) mean = self.mean(z) # Clamped for numerical stability log_std = self.log_std(z).clamp(-4, 15) std = torch.exp(log_std) z = mean + std * ptu.from_numpy( np.random.normal(0, 1, size=(std.size()))) u = self.decode(state, z) return u, mean, std def decode(self, state, z=None): if z is None: z = ptu.from_numpy(np.random.normal(0, 1, size=( state.size(0), self.latent_dim))).clamp(-0.5, 0.5) a = F.relu(self.d1(torch.cat([state, z], 1))) a = F.relu(self.d2(a)) return torch.tanh(self.d3(a)) def decode_multiple(self, state, z=None, num_decode=10): if z is None: z = ptu.from_numpy(np.random.normal(0, 1, size=( state.size(0), num_decode, self.latent_dim))).clamp(-0.5, 0.5) a = F.relu(self.d1(torch.cat( [state.unsqueeze(0).repeat(num_decode, 1, 1).permute(1, 0, 2), z], 2))) a = F.relu(self.d2(a)) return torch.tanh(self.d3(a)), self.d3(a) class ConvVAEPolicy(GaussianLatentVAE, ExplorationPolicy): """Conv vae policy""" def __init__(self, representation_size, architecture, action_dim, encoder_class=CNN, input_channels=1, imsize=48, init_w=1e-3, min_variance=1e-3, hidden_init=ptu.fanin_init): super().__init__(representation_size) if min_variance is None: self.log_min_variance = None else: self.log_min_variance = float(np.log(min_variance)) self.latent_dim = representation_size #FIXME(avi) Temp hack self.input_channels = input_channels self.imsize = imsize self.imlength = self.imsize * self.imsize * self.input_channels # deconv_args is also params for a convnet, since this policy is over a convnet conv_args, deconv_args = architecture['conv_args'], \ architecture['deconv_args'] conv_output_size = deconv_args['deconv_input_width'] * \ deconv_args['deconv_input_height'] * \ deconv_args['deconv_input_channels'] # This is just for the image state encoder self.encoder = encoder_class( **conv_args, output_size=conv_output_size, init_w=init_w, hidden_init=hidden_init, ) # Now we encode the actions as well self.action_encoder1 = torch.nn.Linear( self.encoder.output_size + action_dim, 750) self.action_encoder2 = torch.nn.Linear(750, representation_size) self.action_std_encoder = torch.nn.Linear(750, representation_size) self.action_std_decoder = torch.nn.Linear(representation_size, 750) self.action_encoder1.weight.data.uniform_(-init_w, init_w) self.action_encoder2.weight.data.uniform_(-init_w, init_w) self.action_std_decoder.weight.data.uniform_(-init_w, init_w) self.action_encoder1.bias.data.uniform_(-init_w, init_w) self.action_encoder2.bias.data.uniform_(-init_w, init_w) self.action_std_encoder.bias.data.uniform_(-init_w, init_w) # conv net for the observation input in the VAE decoder self.decoder = encoder_class( **conv_args, output_size=conv_output_size, init_w=init_w, hidden_init=hidden_init, ) # For finally decoding the action self.action_decoder1 = torch.nn.Linear( self.decoder.output_size + representation_size, 750) self.action_decoder2 = torch.nn.Linear(750, 750) self.action_decoder3 = torch.nn.Linear(750, action_dim) self.representation_size = representation_size self.action_dim = action_dim def get_action(self, obs_np, deterministic=False): actions = self.get_actions(obs_np[None], deterministic=deterministic) return actions[0, :], {} def get_actions(self, obs_np, deterministic=False): return eval_np(self, obs_np, deterministic=deterministic, execute_actions=True)[0] def encode(self, input_obs, action): h = F.relu(self.encoder(input_obs)) h_cat_action = torch.cat([h, action], dim=-1) x = F.relu(self.action_encoder1(h_cat_action)) mu = self.action_encoder2(x) log_std = self.action_std_encoder(x) if self.log_min_variance is None: log_std = log_std else: log_std = self.log_min_variance + log_std return (mu, log_std) def decode(self, state, z=None): if z is None: z = ptu.from_numpy(np.random.normal(0, 1, size=( state.size(0), self.latent_dim))).clamp(-0.5, 0.5) h = F.relu(self.decoder(state)) a = F.relu(self.action_decoder1(torch.cat([h, z], 1))) a = F.relu(self.action_decoder2(a)) return torch.tanh(self.action_decoder3(a)) def forward(self, state, action): mean, log_std = self.encode(state, action) # Clamped for numerical stability log_std = log_std.clamp(-4, 15) std = torch.exp(log_std) z = mean + std * ptu.from_numpy( np.random.normal(0, 1, size=(std.size()))) u = self.decode(state, z) return u, mean, std def decode_multiple(self, state, z=None, num_decode=10): if z is None: z = ptu.from_numpy(np.random.normal(0, 1, size=( state.size(0), num_decode, self.latent_dim))).clamp(-0.5, 0.5) h = F.relu(self.decoder(state)) a = F.relu(self.action_decoder1(torch.cat( [h.unsqueeze(0).repeat(num_decode, 1, 1).permute(1, 0, 2), z], 2))) a = F.relu(self.action_decoder2(a)) return torch.tanh(self.action_decoder3(a)), self.action_decoder3(a) def logprob(self, inputs, obs_distribution_params): return None class MakeDeterministic(Policy, ): def __init__(self, stochastic_policy): self.stochastic_policy = stochastic_policy def get_action(self, *args, deterministic=False, **kwargs): return self.stochastic_policy.get_action( *args, deterministic=True, **kwargs ) def to(self, device): self.stochastic_policy.to(device) def load_state_dict(self, stochastic_state_dict): self.stochastic_policy.load_state_dict(stochastic_state_dict) def state_dict(self): return self.stochastic_policy.state_dict()

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825ee8dee2685e1a1d26a3256617cc93b2781f35

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py

Python

tensortrade/env/__init__.py

nicomon24/tensortrade

870ae06a4440045edde4f5306e64264bd33d5b67

[ "Apache-2.0" ]

3,081

2020-01-12T13:42:13.000Z

2022-03-27T18:09:31.000Z

tensortrade/env/__init__.py

nicomon24/tensortrade

870ae06a4440045edde4f5306e64264bd33d5b67

[ "Apache-2.0" ]

257

2020-01-15T03:14:29.000Z

2022-03-31T04:19:14.000Z

tensortrade/env/__init__.py

nicomon24/tensortrade

870ae06a4440045edde4f5306e64264bd33d5b67

[ "Apache-2.0" ]

804

2020-01-12T12:22:22.000Z

2022-03-28T13:41:59.000Z

from . import generic from . import default

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py

Python

FusionIIIT/applications/online_cms/migrations/0001_initial.py

ssaksham9/Fusion

f1e405b457dba399411a2ddb79a9068746c05057

[ "bzip2-1.0.6" ]

2

2020-01-24T16:34:54.000Z

2020-08-01T05:09:24.000Z

FusionIIIT/applications/online_cms/migrations/0001_initial.py

ssaksham9/Fusion

f1e405b457dba399411a2ddb79a9068746c05057

[ "bzip2-1.0.6" ]

19

2019-09-08T06:01:14.000Z

2020-05-21T09:08:20.000Z

FusionIIIT/applications/online_cms/migrations/0001_initial.py

ssaksham9/Fusion

f1e405b457dba399411a2ddb79a9068746c05057

[ "bzip2-1.0.6" ]

14

2019-08-31T12:25:42.000Z

2022-01-12T08:05:33.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.25 on 2019-10-31 23:56 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('globals', '0003_auto_20191024_1242'), ('academic_information', '0001_initial'), ] operations = [ migrations.CreateModel( name='Assignment', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('upload_time', models.DateTimeField(auto_now=True)), ('submit_date', models.DateTimeField()), ('assignment_name', models.CharField(max_length=100)), ('assignment_url', models.CharField(max_length=100, null=True)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.CreateModel( name='CourseDocuments', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('upload_time', models.DateTimeField(auto_now=True)), ('description', models.CharField(max_length=100)), ('document_name', models.CharField(max_length=40)), ('document_url', models.CharField(max_length=100, null=True)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.CreateModel( name='CourseVideo', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('upload_time', models.DateTimeField(auto_now=True)), ('description', models.CharField(max_length=100)), ('video_name', models.CharField(max_length=40)), ('video_url', models.CharField(max_length=100, null=True)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.CreateModel( name='Forum', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('comment_time', models.DateTimeField(auto_now=True)), ('comment', models.TextField(max_length=2000)), ('commenter_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='globals.ExtraInfo')), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.CreateModel( name='ForumReply', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('forum_ques', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='forum_ques', to='online_cms.Forum')), ('forum_reply', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='forum_reply', to='online_cms.Forum')), ], ), migrations.CreateModel( name='Practice', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('prac_quiz_name', models.CharField(max_length=20)), ('negative_marks', models.FloatField(default=0)), ('number_of_question', models.IntegerField(default=0)), ('description', models.TextField(max_length=1000)), ('total_score', models.IntegerField(default=0)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.CreateModel( name='PracticeQuestion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('question', models.TextField(max_length=1000)), ('options1', models.CharField(max_length=100, null=True)), ('options2', models.CharField(max_length=100, null=True)), ('options3', models.CharField(max_length=100, null=True)), ('options4', models.CharField(max_length=100, null=True)), ('options5', models.CharField(max_length=100, null=True)), ('answer', models.IntegerField()), ('image', models.TextField(max_length=1000, null=True)), ('prac_quiz_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Practice')), ], ), migrations.CreateModel( name='Question', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('question', models.TextField(max_length=1000)), ('options1', models.CharField(max_length=100, null=True)), ('options2', models.CharField(max_length=100, null=True)), ('options3', models.CharField(max_length=100, null=True)), ('options4', models.CharField(max_length=100, null=True)), ('options5', models.CharField(max_length=100, null=True)), ('answer', models.IntegerField()), ('image', models.TextField(max_length=1000, null=True)), ('marks', models.IntegerField()), ], ), migrations.CreateModel( name='QuestionBank', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ('instructor_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='globals.ExtraInfo')), ], ), migrations.CreateModel( name='Quiz', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quiz_name', models.CharField(max_length=20)), ('end_time', models.DateTimeField()), ('start_time', models.DateTimeField()), ('d_day', models.CharField(max_length=2)), ('d_hour', models.CharField(max_length=2)), ('d_minute', models.CharField(max_length=2)), ('negative_marks', models.FloatField(default=0)), ('number_of_question', models.IntegerField(default=0)), ('description', models.TextField(max_length=1000)), ('rules', models.TextField(max_length=2000)), ('total_score', models.IntegerField(default=0)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.CreateModel( name='QuizQuestion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('question', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Question')), ('quiz_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Quiz')), ], ), migrations.CreateModel( name='QuizResult', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('score', models.IntegerField()), ('finished', models.BooleanField(default=False)), ('quiz_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Quiz')), ('student_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Student')), ], ), migrations.CreateModel( name='StudentAnswer', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('choice', models.IntegerField()), ('question_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.QuizQuestion')), ('quiz_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Quiz')), ('student_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Student')), ], ), migrations.CreateModel( name='StudentAssignment', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('upload_time', models.DateTimeField(auto_now=True)), ('upload_url', models.TextField(max_length=200)), ('score', models.IntegerField(null=True)), ('feedback', models.CharField(max_length=100, null=True)), ('assign_name', models.CharField(max_length=100)), ('assignment_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Assignment')), ('student_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Student')), ], ), migrations.CreateModel( name='Topics', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('topic_name', models.TextField(max_length=200)), ('course_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='academic_information.Course')), ], ), migrations.AddField( model_name='question', name='question_bank', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.QuestionBank'), ), migrations.AddField( model_name='question', name='topic', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='online_cms.Topics'), ), ]

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82a3e590dc05e9268ca8fb9e62db09304e4be169

179

py

Python

fargatespawner/__init__.py

dadoeyad/fargatespawner

df13e7ce003e79658379254909e24f81f6437225

[ "MIT" ]

null

fargatespawner/__init__.py

dadoeyad/fargatespawner

df13e7ce003e79658379254909e24f81f6437225

[ "MIT" ]

null

fargatespawner/__init__.py

dadoeyad/fargatespawner

df13e7ce003e79658379254909e24f81f6437225

[ "MIT" ]

null

from .fargatespawner import FargateSpawner from .fargatespawner import FargateSpawnerSecretAccessKeyAuthentication from .fargatespawner import FargateSpawnerECSRoleAuthentication

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82b49177427c56d783ac1e21e0865848bba9827a

22,058

py

Python

skyportal/tests/api/test_photometry.py

jialin-wu-02/skyportal

29d606ad8567b2230fb0553b18dd3cb9d3ab2d84

[ "BSD-3-Clause" ]

null

skyportal/tests/api/test_photometry.py

jialin-wu-02/skyportal

29d606ad8567b2230fb0553b18dd3cb9d3ab2d84

[ "BSD-3-Clause" ]

156

2019-10-17T19:35:22.000Z

2021-08-01T13:23:47.000Z

skyportal/tests/api/test_photometry.py

jialin-wu-02/skyportal

29d606ad8567b2230fb0553b18dd3cb9d3ab2d84

[ "BSD-3-Clause" ]

null

import os import datetime import base64 from skyportal.tests import api from skyportal.models import Thumbnail, DBSession, Photometry import numpy as np import sncosmo def test_token_user_post_get_photometry_data(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'flux': 12.24, 'fluxerr': 0.031, 'zp': 25., 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' assert data['data']['ra'] is None assert data['data']['dec'] is None assert data['data']['ra_unc'] is None assert data['data']['dec_unc'] is None np.testing.assert_allclose(data['data']['flux'], 12.24 * 10**(-0.4 * (25. - 23.9))) def test_token_user_post_mag_photometry_data_and_convert(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': 21., 'magerr': 0.2, 'limiting_mag': 22.3, 'magsys': 'vega', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' ab = sncosmo.get_magsystem('ab') vega = sncosmo.get_magsystem('vega') correction = 2.5 * np.log10(vega.zpbandflux('ztfg') / ab.zpbandflux('ztfg')) np.testing.assert_allclose(data['data']['flux'], 10**(-0.4 * (21. - correction - 23.9 ))) np.testing.assert_allclose(data['data']['fluxerr'], 0.2 / (2.5 / np.log(10)) * data['data']['flux']) status, data = api( 'GET', f'photometry/{photometry_id}', token=upload_data_token) assert status == 200 assert data['status'] == 'success' np.testing.assert_allclose(data['data']['mag'], 21. - correction) np.testing.assert_allclose(data['data']['magerr'], 0.2) def test_token_user_post_and_get_different_systems_mag(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': 21., 'magerr': 0.2, 'limiting_mag': 22.3, 'magsys': 'vega', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=mag&magsys=vega', token=upload_data_token) assert status == 200 assert data['status'] == 'success' ab = sncosmo.get_magsystem('ab') vega = sncosmo.get_magsystem('vega') correction = 2.5 * np.log10(vega.zpbandflux('ztfg') / ab.zpbandflux('ztfg')) np.testing.assert_allclose(data['data']['mag'], 21.) np.testing.assert_allclose(data['data']['magerr'], 0.2) np.testing.assert_allclose(data['data']['limiting_mag'], 22.3) status, data = api( 'GET', f'photometry/{photometry_id}?format=mag&magsys=ab', token=upload_data_token) assert status == 200 assert data['status'] == 'success' np.testing.assert_allclose(data['data']['mag'], 21. - correction) np.testing.assert_allclose(data['data']['magerr'], 0.2) np.testing.assert_allclose(data['data']['limiting_mag'], 22.3 - correction) def test_token_user_post_and_get_different_systems_flux(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': 21., 'magerr': 0.2, 'limiting_mag': 22.3, 'magsys': 'vega', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux&magsys=vega', token=upload_data_token) assert status == 200 assert data['status'] == 'success' ab = sncosmo.get_magsystem('ab') vega = sncosmo.get_magsystem('vega') correction = 2.5 * np.log10(vega.zpbandflux('ztfg') / ab.zpbandflux('ztfg')) np.testing.assert_allclose(data['data']['flux'], 10**(-0.4 * (21 - correction - 23.9))) np.testing.assert_allclose(data['data']['fluxerr'], 0.2 / (2.5 / np.log(10)) * data['data']['flux']) np.testing.assert_allclose(data['data']['zp'], 23.9 + correction) status, data = api( 'GET', f'photometry/{photometry_id}?format=flux&magsys=ab', token=upload_data_token) assert status == 200 assert data['status'] == 'success' np.testing.assert_allclose(data['data']['flux'], 10**(-0.4 * (21 - correction - 23.9))) np.testing.assert_allclose(data['data']['fluxerr'], 0.2 / (2.5 / np.log(10)) * data['data']['flux']) np.testing.assert_allclose(data['data']['zp'], 23.9) def test_token_user_mixed_photometry_post(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': 21., 'magerr': [0.2, 0.1], 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][1] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' np.testing.assert_allclose(data['data']['flux'], 10**(-0.4 * (21. - 23.9 ))) np.testing.assert_allclose(data['data']['fluxerr'], 0.1 / (2.5 / np.log(10)) * data['data']['flux']) # should fail as len(mag) != len(magerr) status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': [21.], 'magerr': [0.2, 0.1], 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 400 assert data['status'] == 'error' def test_token_user_mixed_mag_none_photometry_post(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': None, 'magerr': [0.2, 0.1], 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 400 assert data['status'] == 'error' status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': [21.3, None], 'magerr': [0.2, 0.1], 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 400 assert data['status'] == 'error' status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': [21.3, None], 'magerr': [None, 0.1], 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 400 assert data['status'] == 'error' def test_token_user_post_photometry_limits(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': None, 'magerr': None, 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' assert data['data']['flux'] == None np.testing.assert_allclose(data['data']['fluxerr'], 10**(-0.4 * (22.3 - 23.9)) / 5) status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'flux': None, 'fluxerr': 0.031, 'zp': 25., 'magsys': 'ab', 'filter': 'ztfg' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' assert data['data']['flux'] == None np.testing.assert_allclose(data['data']['fluxerr'], 0.031 * 10**(-0.4 * (25. - 23.9))) def test_token_user_post_invalid_filter(upload_data_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'mag': None, 'magerr': None, 'limiting_mag': 22.3, 'magsys': 'ab', 'filter': 'bessellv' }, token=upload_data_token) assert status == 400 assert data['status'] == 'error' def test_token_user_post_photometry_data_series(upload_data_token, public_source, ztf_camera): # valid request status, data = api( 'POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': [58000., 58001., 58002.], 'instrument_id': ztf_camera.id, 'flux': [12.24, 15.24, 12.24], 'fluxerr': [0.031, 0.029, 0.030], 'filter': ['ztfg', 'ztfg', 'ztfg'], 'zp': [25., 30., 21.2], 'magsys': ['ab', 'ab', 'ab'], 'ra': 264.1947917, 'dec': [50.5478333, 50.5478333 + 0.00001, 50.5478333], 'dec_unc': 0.2}, token=upload_data_token) assert status == 200 assert data['status'] == 'success' assert len(data['data']['ids']) == 3 photometry_id = data['data']['ids'][1] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' assert np.allclose(data['data']['flux'], 15.24 * 10**(-0.4 * (30 - 23.9))) assert np.allclose(data['data']['dec'], 50.5478333 + 0.00001) assert np.allclose(data['data']['dec_unc'], 0.2) assert data['data']['ra_unc'] is None # invalid request status, data = api( 'POST', 'photometry', data=[{'obj_id': str(public_source.id), 'mjd': 58000, 'instrument_id': ztf_camera.id, 'flux': 12.24, 'fluxerr': 0.031, 'filter': 'ztfg', 'zp': 25., 'magsys': 'ab'}, {'obj_id': str(public_source.id), 'mjd': 58001, 'instrument_id': ztf_camera.id, 'flux': 15.24, 'fluxerr': 0.031, 'filter': 'ztfg', 'zp': 30., 'magsys': 'ab'}, {'obj_id': str(public_source.id), 'mjd': 58002, 'instrument_id': ztf_camera.id, 'flux': 12.24, 'fluxerr': 0.031, 'filter': 'ztfg', 'zp': 21.2, 'magsys': 'vega'}], token=upload_data_token) assert status == 400 assert data['status'] == 'error' def test_post_photometry_no_access_token(view_only_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'flux': 12.24, 'fluxerr': 0.031, 'zp': 25., 'magsys': 'ab', 'filter': 'ztfg' }, token=view_only_token) assert status == 400 assert data['status'] == 'error' def test_token_user_update_photometry(upload_data_token, manage_sources_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'flux': 12.24, 'fluxerr': 0.031, 'zp': 25., 'magsys': 'ab', 'filter': 'ztfi' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' np.testing.assert_allclose(data['data']['flux'], 12.24 * 10**(-0.4 * (25 - 23.9))) status, data = api( 'PUT', f'photometry/{photometry_id}', data={'obj_id': str(public_source.id), 'flux': 11.0, 'mjd': 58000., 'instrument_id': ztf_camera.id, 'fluxerr': 0.031, 'zp': 25., 'magsys': 'ab', 'filter': 'ztfi'}, token=manage_sources_token) assert status == 200 assert data['status'] == 'success' status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) np.testing.assert_allclose(data['data']['flux'], 11.0 * 10**(-0.4 * (25 - 23.9))) def test_delete_photometry_data(upload_data_token, manage_sources_token, public_source, ztf_camera): status, data = api('POST', 'photometry', data={'obj_id': str(public_source.id), 'mjd': 58000., 'instrument_id': ztf_camera.id, 'flux': 12.24, 'fluxerr': 0.031, 'zp': 25., 'magsys': 'ab', 'filter': 'ztfi' }, token=upload_data_token) assert status == 200 assert data['status'] == 'success' photometry_id = data['data']['ids'][0] status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 200 assert data['status'] == 'success' np.testing.assert_allclose(data['data']['flux'], 12.24 * 10 ** (-0.4 * (25 - 23.9))) status, data = api( 'DELETE', f'photometry/{photometry_id}', token=manage_sources_token) assert status == 200 status, data = api( 'GET', f'photometry/{photometry_id}?format=flux', token=upload_data_token) assert status == 400 def test_token_user_retrieving_source_photometry_and_convert(view_only_token, public_source): status, data = api('GET', f'sources/{public_source.id}/photometry?format=flux&magsys=ab', token=view_only_token) assert status == 200 assert data['status'] == 'success' assert isinstance(data['data'], list) assert 'mjd' in data['data'][0] assert 'ra_unc' in data['data'][0] mag1_ab = -2.5 * np.log10(data['data'][0]['flux']) + data['data'][0]['zp'] magerr1_ab = 2.5 / np.log(10) * data['data'][0]['fluxerr']/ data['data'][0]['flux'] maglast_ab = -2.5 * np.log10(data['data'][-1]['flux']) + data['data'][-1]['zp'] magerrlast_ab = 2.5 / np.log(10) * data['data'][-1]['fluxerr']/ data['data'][-1]['flux'] status, data = api('GET', f'sources/{public_source.id}/photometry?format=mag&magsys=ab', token=view_only_token) assert status == 200 assert data['status'] == 'success' assert np.allclose(mag1_ab, data['data'][0]['mag']) assert np.allclose(magerr1_ab, data['data'][0]['magerr']) assert np.allclose(maglast_ab, data['data'][-1]['mag']) assert np.allclose(magerrlast_ab, data['data'][-1]['magerr']) status, data = api('GET', f'sources/{public_source.id}/photometry?format=flux&magsys=vega', token=view_only_token) mag1_vega = -2.5 * np.log10(data['data'][0]['flux']) + data['data'][0]['zp'] magerr1_vega = 2.5 / np.log(10) * data['data'][0]['fluxerr']/ data['data'][0]['flux'] maglast_vega = -2.5 * np.log10(data['data'][-1]['flux']) + data['data'][-1]['zp'] magerrlast_vega = 2.5 / np.log(10) * data['data'][-1]['fluxerr']/ data['data'][-1]['flux'] assert status == 200 assert data['status'] == 'success' ab = sncosmo.get_magsystem('ab') vega = sncosmo.get_magsystem('vega') vega_to_ab = { filter: 2.5 * np.log10(ab.zpbandflux(filter) / vega.zpbandflux(filter)) for filter in ['ztfg', 'ztfr', 'ztfi'] } assert np.allclose(mag1_ab, mag1_vega + vega_to_ab[data['data'][0]['filter']]) assert np.allclose(magerr1_ab, magerr1_vega) assert np.allclose(maglast_ab, maglast_vega + vega_to_ab[data['data'][-1]['filter']]) assert np.allclose(magerrlast_ab, magerrlast_vega)

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Python

src/goose_lang/examples/nfs_spec/symtest/rfc1813/client.py

herbelin/perennial

49b044fa83b4df2dc23262571e79c1165006bdc8

[ "MIT" ]

73

2019-09-24T14:50:57.000Z

2022-03-25T02:01:55.000Z

src/goose_lang/examples/nfs_spec/symtest/rfc1813/client.py

herbelin/perennial

49b044fa83b4df2dc23262571e79c1165006bdc8

[ "MIT" ]

39

2020-01-31T19:08:09.000Z

2022-01-14T15:46:56.000Z

src/goose_lang/examples/nfs_spec/symtest/rfc1813/client.py

herbelin/perennial

49b044fa83b4df2dc23262571e79c1165006bdc8

[ "MIT" ]

17

2020-01-22T14:49:13.000Z

2021-11-26T18:38:48.000Z

# Generated by rpcgen.py from /home/nickolai/proj/go-rpcgen/rfc1813/prot.x on Fri Dec 6 10:47:13 2019 import rpc import const import pack class NFS_PROGRAM(object): class RawTCPNFS_V3(rpc.RawTCPClient): def __init__(self, host, port, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.RawTCPClient.__init__(self, host, port, program=const.NFS_PROGRAM, version=const.NFS_V3, **kwargs) # void NFSPROC3_NULL(void) def NFSPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # GETATTR3res NFSPROC3_GETATTR(GETATTR3args) def NFSPROC3_GETATTR(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_GETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_GETATTR3res() unpacker.done() return res # SETATTR3res NFSPROC3_SETATTR(SETATTR3args) def NFSPROC3_SETATTR(self, p0): procedure_id = 2 packer = pack.protPacker() packer.pack_SETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SETATTR3res() unpacker.done() return res # LOOKUP3res NFSPROC3_LOOKUP(LOOKUP3args) def NFSPROC3_LOOKUP(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_LOOKUP3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LOOKUP3res() unpacker.done() return res # ACCESS3res NFSPROC3_ACCESS(ACCESS3args) def NFSPROC3_ACCESS(self, p0): procedure_id = 4 packer = pack.protPacker() packer.pack_ACCESS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_ACCESS3res() unpacker.done() return res # READLINK3res NFSPROC3_READLINK(READLINK3args) def NFSPROC3_READLINK(self, p0): procedure_id = 5 packer = pack.protPacker() packer.pack_READLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READLINK3res() unpacker.done() return res # READ3res NFSPROC3_READ(READ3args) def NFSPROC3_READ(self, p0): procedure_id = 6 packer = pack.protPacker() packer.pack_READ3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READ3res() unpacker.done() return res # WRITE3res NFSPROC3_WRITE(WRITE3args) def NFSPROC3_WRITE(self, p0): procedure_id = 7 packer = pack.protPacker() packer.pack_WRITE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_WRITE3res() unpacker.done() return res # CREATE3res NFSPROC3_CREATE(CREATE3args) def NFSPROC3_CREATE(self, p0): procedure_id = 8 packer = pack.protPacker() packer.pack_CREATE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_CREATE3res() unpacker.done() return res # MKDIR3res NFSPROC3_MKDIR(MKDIR3args) def NFSPROC3_MKDIR(self, p0): procedure_id = 9 packer = pack.protPacker() packer.pack_MKDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKDIR3res() unpacker.done() return res # SYMLINK3res NFSPROC3_SYMLINK(SYMLINK3args) def NFSPROC3_SYMLINK(self, p0): procedure_id = 10 packer = pack.protPacker() packer.pack_SYMLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SYMLINK3res() unpacker.done() return res # MKNOD3res NFSPROC3_MKNOD(MKNOD3args) def NFSPROC3_MKNOD(self, p0): procedure_id = 11 packer = pack.protPacker() packer.pack_MKNOD3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKNOD3res() unpacker.done() return res # REMOVE3res NFSPROC3_REMOVE(REMOVE3args) def NFSPROC3_REMOVE(self, p0): procedure_id = 12 packer = pack.protPacker() packer.pack_REMOVE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_REMOVE3res() unpacker.done() return res # RMDIR3res NFSPROC3_RMDIR(RMDIR3args) def NFSPROC3_RMDIR(self, p0): procedure_id = 13 packer = pack.protPacker() packer.pack_RMDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RMDIR3res() unpacker.done() return res # RENAME3res NFSPROC3_RENAME(RENAME3args) def NFSPROC3_RENAME(self, p0): procedure_id = 14 packer = pack.protPacker() packer.pack_RENAME3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RENAME3res() unpacker.done() return res # LINK3res NFSPROC3_LINK(LINK3args) def NFSPROC3_LINK(self, p0): procedure_id = 15 packer = pack.protPacker() packer.pack_LINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LINK3res() unpacker.done() return res # READDIR3res NFSPROC3_READDIR(READDIR3args) def NFSPROC3_READDIR(self, p0): procedure_id = 16 packer = pack.protPacker() packer.pack_READDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIR3res() unpacker.done() return res # READDIRPLUS3res NFSPROC3_READDIRPLUS(READDIRPLUS3args) def NFSPROC3_READDIRPLUS(self, p0): procedure_id = 17 packer = pack.protPacker() packer.pack_READDIRPLUS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIRPLUS3res() unpacker.done() return res # FSSTAT3res NFSPROC3_FSSTAT(FSSTAT3args) def NFSPROC3_FSSTAT(self, p0): procedure_id = 18 packer = pack.protPacker() packer.pack_FSSTAT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSSTAT3res() unpacker.done() return res # FSINFO3res NFSPROC3_FSINFO(FSINFO3args) def NFSPROC3_FSINFO(self, p0): procedure_id = 19 packer = pack.protPacker() packer.pack_FSINFO3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSINFO3res() unpacker.done() return res # PATHCONF3res NFSPROC3_PATHCONF(PATHCONF3args) def NFSPROC3_PATHCONF(self, p0): procedure_id = 20 packer = pack.protPacker() packer.pack_PATHCONF3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_PATHCONF3res() unpacker.done() return res # COMMIT3res NFSPROC3_COMMIT(COMMIT3args) def NFSPROC3_COMMIT(self, p0): procedure_id = 21 packer = pack.protPacker() packer.pack_COMMIT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_COMMIT3res() unpacker.done() return res class TCPNFS_V3(rpc.TCPClient): def __init__(self, host, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.TCPClient.__init__(self, host, program=const.NFS_PROGRAM, version=const.NFS_V3, **kwargs) # void NFSPROC3_NULL(void) def NFSPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # GETATTR3res NFSPROC3_GETATTR(GETATTR3args) def NFSPROC3_GETATTR(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_GETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_GETATTR3res() unpacker.done() return res # SETATTR3res NFSPROC3_SETATTR(SETATTR3args) def NFSPROC3_SETATTR(self, p0): procedure_id = 2 packer = pack.protPacker() packer.pack_SETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SETATTR3res() unpacker.done() return res # LOOKUP3res NFSPROC3_LOOKUP(LOOKUP3args) def NFSPROC3_LOOKUP(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_LOOKUP3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LOOKUP3res() unpacker.done() return res # ACCESS3res NFSPROC3_ACCESS(ACCESS3args) def NFSPROC3_ACCESS(self, p0): procedure_id = 4 packer = pack.protPacker() packer.pack_ACCESS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_ACCESS3res() unpacker.done() return res # READLINK3res NFSPROC3_READLINK(READLINK3args) def NFSPROC3_READLINK(self, p0): procedure_id = 5 packer = pack.protPacker() packer.pack_READLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READLINK3res() unpacker.done() return res # READ3res NFSPROC3_READ(READ3args) def NFSPROC3_READ(self, p0): procedure_id = 6 packer = pack.protPacker() packer.pack_READ3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READ3res() unpacker.done() return res # WRITE3res NFSPROC3_WRITE(WRITE3args) def NFSPROC3_WRITE(self, p0): procedure_id = 7 packer = pack.protPacker() packer.pack_WRITE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_WRITE3res() unpacker.done() return res # CREATE3res NFSPROC3_CREATE(CREATE3args) def NFSPROC3_CREATE(self, p0): procedure_id = 8 packer = pack.protPacker() packer.pack_CREATE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_CREATE3res() unpacker.done() return res # MKDIR3res NFSPROC3_MKDIR(MKDIR3args) def NFSPROC3_MKDIR(self, p0): procedure_id = 9 packer = pack.protPacker() packer.pack_MKDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKDIR3res() unpacker.done() return res # SYMLINK3res NFSPROC3_SYMLINK(SYMLINK3args) def NFSPROC3_SYMLINK(self, p0): procedure_id = 10 packer = pack.protPacker() packer.pack_SYMLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SYMLINK3res() unpacker.done() return res # MKNOD3res NFSPROC3_MKNOD(MKNOD3args) def NFSPROC3_MKNOD(self, p0): procedure_id = 11 packer = pack.protPacker() packer.pack_MKNOD3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKNOD3res() unpacker.done() return res # REMOVE3res NFSPROC3_REMOVE(REMOVE3args) def NFSPROC3_REMOVE(self, p0): procedure_id = 12 packer = pack.protPacker() packer.pack_REMOVE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_REMOVE3res() unpacker.done() return res # RMDIR3res NFSPROC3_RMDIR(RMDIR3args) def NFSPROC3_RMDIR(self, p0): procedure_id = 13 packer = pack.protPacker() packer.pack_RMDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RMDIR3res() unpacker.done() return res # RENAME3res NFSPROC3_RENAME(RENAME3args) def NFSPROC3_RENAME(self, p0): procedure_id = 14 packer = pack.protPacker() packer.pack_RENAME3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RENAME3res() unpacker.done() return res # LINK3res NFSPROC3_LINK(LINK3args) def NFSPROC3_LINK(self, p0): procedure_id = 15 packer = pack.protPacker() packer.pack_LINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LINK3res() unpacker.done() return res # READDIR3res NFSPROC3_READDIR(READDIR3args) def NFSPROC3_READDIR(self, p0): procedure_id = 16 packer = pack.protPacker() packer.pack_READDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIR3res() unpacker.done() return res # READDIRPLUS3res NFSPROC3_READDIRPLUS(READDIRPLUS3args) def NFSPROC3_READDIRPLUS(self, p0): procedure_id = 17 packer = pack.protPacker() packer.pack_READDIRPLUS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIRPLUS3res() unpacker.done() return res # FSSTAT3res NFSPROC3_FSSTAT(FSSTAT3args) def NFSPROC3_FSSTAT(self, p0): procedure_id = 18 packer = pack.protPacker() packer.pack_FSSTAT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSSTAT3res() unpacker.done() return res # FSINFO3res NFSPROC3_FSINFO(FSINFO3args) def NFSPROC3_FSINFO(self, p0): procedure_id = 19 packer = pack.protPacker() packer.pack_FSINFO3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSINFO3res() unpacker.done() return res # PATHCONF3res NFSPROC3_PATHCONF(PATHCONF3args) def NFSPROC3_PATHCONF(self, p0): procedure_id = 20 packer = pack.protPacker() packer.pack_PATHCONF3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_PATHCONF3res() unpacker.done() return res # COMMIT3res NFSPROC3_COMMIT(COMMIT3args) def NFSPROC3_COMMIT(self, p0): procedure_id = 21 packer = pack.protPacker() packer.pack_COMMIT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_COMMIT3res() unpacker.done() return res class RawUDPNFS_V3(rpc.RawUDPClient): def __init__(self, host, port, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.RawUDPClient.__init__(self, host, port, program=const.NFS_PROGRAM, version=const.NFS_V3, **kwargs) # void NFSPROC3_NULL(void) def NFSPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # GETATTR3res NFSPROC3_GETATTR(GETATTR3args) def NFSPROC3_GETATTR(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_GETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_GETATTR3res() unpacker.done() return res # SETATTR3res NFSPROC3_SETATTR(SETATTR3args) def NFSPROC3_SETATTR(self, p0): procedure_id = 2 packer = pack.protPacker() packer.pack_SETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SETATTR3res() unpacker.done() return res # LOOKUP3res NFSPROC3_LOOKUP(LOOKUP3args) def NFSPROC3_LOOKUP(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_LOOKUP3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LOOKUP3res() unpacker.done() return res # ACCESS3res NFSPROC3_ACCESS(ACCESS3args) def NFSPROC3_ACCESS(self, p0): procedure_id = 4 packer = pack.protPacker() packer.pack_ACCESS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_ACCESS3res() unpacker.done() return res # READLINK3res NFSPROC3_READLINK(READLINK3args) def NFSPROC3_READLINK(self, p0): procedure_id = 5 packer = pack.protPacker() packer.pack_READLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READLINK3res() unpacker.done() return res # READ3res NFSPROC3_READ(READ3args) def NFSPROC3_READ(self, p0): procedure_id = 6 packer = pack.protPacker() packer.pack_READ3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READ3res() unpacker.done() return res # WRITE3res NFSPROC3_WRITE(WRITE3args) def NFSPROC3_WRITE(self, p0): procedure_id = 7 packer = pack.protPacker() packer.pack_WRITE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_WRITE3res() unpacker.done() return res # CREATE3res NFSPROC3_CREATE(CREATE3args) def NFSPROC3_CREATE(self, p0): procedure_id = 8 packer = pack.protPacker() packer.pack_CREATE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_CREATE3res() unpacker.done() return res # MKDIR3res NFSPROC3_MKDIR(MKDIR3args) def NFSPROC3_MKDIR(self, p0): procedure_id = 9 packer = pack.protPacker() packer.pack_MKDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKDIR3res() unpacker.done() return res # SYMLINK3res NFSPROC3_SYMLINK(SYMLINK3args) def NFSPROC3_SYMLINK(self, p0): procedure_id = 10 packer = pack.protPacker() packer.pack_SYMLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SYMLINK3res() unpacker.done() return res # MKNOD3res NFSPROC3_MKNOD(MKNOD3args) def NFSPROC3_MKNOD(self, p0): procedure_id = 11 packer = pack.protPacker() packer.pack_MKNOD3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKNOD3res() unpacker.done() return res # REMOVE3res NFSPROC3_REMOVE(REMOVE3args) def NFSPROC3_REMOVE(self, p0): procedure_id = 12 packer = pack.protPacker() packer.pack_REMOVE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_REMOVE3res() unpacker.done() return res # RMDIR3res NFSPROC3_RMDIR(RMDIR3args) def NFSPROC3_RMDIR(self, p0): procedure_id = 13 packer = pack.protPacker() packer.pack_RMDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RMDIR3res() unpacker.done() return res # RENAME3res NFSPROC3_RENAME(RENAME3args) def NFSPROC3_RENAME(self, p0): procedure_id = 14 packer = pack.protPacker() packer.pack_RENAME3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RENAME3res() unpacker.done() return res # LINK3res NFSPROC3_LINK(LINK3args) def NFSPROC3_LINK(self, p0): procedure_id = 15 packer = pack.protPacker() packer.pack_LINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LINK3res() unpacker.done() return res # READDIR3res NFSPROC3_READDIR(READDIR3args) def NFSPROC3_READDIR(self, p0): procedure_id = 16 packer = pack.protPacker() packer.pack_READDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIR3res() unpacker.done() return res # READDIRPLUS3res NFSPROC3_READDIRPLUS(READDIRPLUS3args) def NFSPROC3_READDIRPLUS(self, p0): procedure_id = 17 packer = pack.protPacker() packer.pack_READDIRPLUS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIRPLUS3res() unpacker.done() return res # FSSTAT3res NFSPROC3_FSSTAT(FSSTAT3args) def NFSPROC3_FSSTAT(self, p0): procedure_id = 18 packer = pack.protPacker() packer.pack_FSSTAT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSSTAT3res() unpacker.done() return res # FSINFO3res NFSPROC3_FSINFO(FSINFO3args) def NFSPROC3_FSINFO(self, p0): procedure_id = 19 packer = pack.protPacker() packer.pack_FSINFO3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSINFO3res() unpacker.done() return res # PATHCONF3res NFSPROC3_PATHCONF(PATHCONF3args) def NFSPROC3_PATHCONF(self, p0): procedure_id = 20 packer = pack.protPacker() packer.pack_PATHCONF3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_PATHCONF3res() unpacker.done() return res # COMMIT3res NFSPROC3_COMMIT(COMMIT3args) def NFSPROC3_COMMIT(self, p0): procedure_id = 21 packer = pack.protPacker() packer.pack_COMMIT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_COMMIT3res() unpacker.done() return res class UDPNFS_V3(rpc.UDPClient): def __init__(self, host, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.UDPClient.__init__(self, host, program=const.NFS_PROGRAM, version=const.NFS_V3, **kwargs) # void NFSPROC3_NULL(void) def NFSPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # GETATTR3res NFSPROC3_GETATTR(GETATTR3args) def NFSPROC3_GETATTR(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_GETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_GETATTR3res() unpacker.done() return res # SETATTR3res NFSPROC3_SETATTR(SETATTR3args) def NFSPROC3_SETATTR(self, p0): procedure_id = 2 packer = pack.protPacker() packer.pack_SETATTR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SETATTR3res() unpacker.done() return res # LOOKUP3res NFSPROC3_LOOKUP(LOOKUP3args) def NFSPROC3_LOOKUP(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_LOOKUP3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LOOKUP3res() unpacker.done() return res # ACCESS3res NFSPROC3_ACCESS(ACCESS3args) def NFSPROC3_ACCESS(self, p0): procedure_id = 4 packer = pack.protPacker() packer.pack_ACCESS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_ACCESS3res() unpacker.done() return res # READLINK3res NFSPROC3_READLINK(READLINK3args) def NFSPROC3_READLINK(self, p0): procedure_id = 5 packer = pack.protPacker() packer.pack_READLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READLINK3res() unpacker.done() return res # READ3res NFSPROC3_READ(READ3args) def NFSPROC3_READ(self, p0): procedure_id = 6 packer = pack.protPacker() packer.pack_READ3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READ3res() unpacker.done() return res # WRITE3res NFSPROC3_WRITE(WRITE3args) def NFSPROC3_WRITE(self, p0): procedure_id = 7 packer = pack.protPacker() packer.pack_WRITE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_WRITE3res() unpacker.done() return res # CREATE3res NFSPROC3_CREATE(CREATE3args) def NFSPROC3_CREATE(self, p0): procedure_id = 8 packer = pack.protPacker() packer.pack_CREATE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_CREATE3res() unpacker.done() return res # MKDIR3res NFSPROC3_MKDIR(MKDIR3args) def NFSPROC3_MKDIR(self, p0): procedure_id = 9 packer = pack.protPacker() packer.pack_MKDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKDIR3res() unpacker.done() return res # SYMLINK3res NFSPROC3_SYMLINK(SYMLINK3args) def NFSPROC3_SYMLINK(self, p0): procedure_id = 10 packer = pack.protPacker() packer.pack_SYMLINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_SYMLINK3res() unpacker.done() return res # MKNOD3res NFSPROC3_MKNOD(MKNOD3args) def NFSPROC3_MKNOD(self, p0): procedure_id = 11 packer = pack.protPacker() packer.pack_MKNOD3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_MKNOD3res() unpacker.done() return res # REMOVE3res NFSPROC3_REMOVE(REMOVE3args) def NFSPROC3_REMOVE(self, p0): procedure_id = 12 packer = pack.protPacker() packer.pack_REMOVE3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_REMOVE3res() unpacker.done() return res # RMDIR3res NFSPROC3_RMDIR(RMDIR3args) def NFSPROC3_RMDIR(self, p0): procedure_id = 13 packer = pack.protPacker() packer.pack_RMDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RMDIR3res() unpacker.done() return res # RENAME3res NFSPROC3_RENAME(RENAME3args) def NFSPROC3_RENAME(self, p0): procedure_id = 14 packer = pack.protPacker() packer.pack_RENAME3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_RENAME3res() unpacker.done() return res # LINK3res NFSPROC3_LINK(LINK3args) def NFSPROC3_LINK(self, p0): procedure_id = 15 packer = pack.protPacker() packer.pack_LINK3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_LINK3res() unpacker.done() return res # READDIR3res NFSPROC3_READDIR(READDIR3args) def NFSPROC3_READDIR(self, p0): procedure_id = 16 packer = pack.protPacker() packer.pack_READDIR3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIR3res() unpacker.done() return res # READDIRPLUS3res NFSPROC3_READDIRPLUS(READDIRPLUS3args) def NFSPROC3_READDIRPLUS(self, p0): procedure_id = 17 packer = pack.protPacker() packer.pack_READDIRPLUS3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_READDIRPLUS3res() unpacker.done() return res # FSSTAT3res NFSPROC3_FSSTAT(FSSTAT3args) def NFSPROC3_FSSTAT(self, p0): procedure_id = 18 packer = pack.protPacker() packer.pack_FSSTAT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSSTAT3res() unpacker.done() return res # FSINFO3res NFSPROC3_FSINFO(FSINFO3args) def NFSPROC3_FSINFO(self, p0): procedure_id = 19 packer = pack.protPacker() packer.pack_FSINFO3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_FSINFO3res() unpacker.done() return res # PATHCONF3res NFSPROC3_PATHCONF(PATHCONF3args) def NFSPROC3_PATHCONF(self, p0): procedure_id = 20 packer = pack.protPacker() packer.pack_PATHCONF3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_PATHCONF3res() unpacker.done() return res # COMMIT3res NFSPROC3_COMMIT(COMMIT3args) def NFSPROC3_COMMIT(self, p0): procedure_id = 21 packer = pack.protPacker() packer.pack_COMMIT3args(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_COMMIT3res() unpacker.done() return res def __getitem__(self, key): d = { const.RawTCPNFS_V3 : 'RawTCPNFS_V3', const.TCPNFS_V3 : 'TCPNFS_V3', const.RawUDPNFS_V3 : 'RawUDPNFS_V3', const.UDPNFS_V3 : 'UDPNFS_V3' } return getattr(self, d[key]) NFS_PROGRAM = NFS_PROGRAM() class MOUNT_PROGRAM(object): class RawTCPMOUNT_V3(rpc.RawTCPClient): def __init__(self, host, port, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.RawTCPClient.__init__(self, host, port, program=const.MOUNT_PROGRAM, version=const.MOUNT_V3, **kwargs) # void MOUNTPROC3_NULL(void) def MOUNTPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # mountres3 MOUNTPROC3_MNT(dirpath3) def MOUNTPROC3_MNT(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_dirpath3(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountres3() unpacker.done() return res # mountopt3 MOUNTPROC3_DUMP(void) def MOUNTPROC3_DUMP(self): procedure_id = 2 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountopt3() unpacker.done() return res # void MOUNTPROC3_UMNT(dirpath3) def MOUNTPROC3_UMNT(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_dirpath3(p0) self.call(procedure_id, packer.get_buffer()) return None # void MOUNTPROC3_UMNTALL(void) def MOUNTPROC3_UMNTALL(self): procedure_id = 4 self.call(procedure_id, '') return None # exportsopt3 MOUNTPROC3_EXPORT(void) def MOUNTPROC3_EXPORT(self): procedure_id = 5 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_exportsopt3() unpacker.done() return res class TCPMOUNT_V3(rpc.TCPClient): def __init__(self, host, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.TCPClient.__init__(self, host, program=const.MOUNT_PROGRAM, version=const.MOUNT_V3, **kwargs) # void MOUNTPROC3_NULL(void) def MOUNTPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # mountres3 MOUNTPROC3_MNT(dirpath3) def MOUNTPROC3_MNT(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_dirpath3(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountres3() unpacker.done() return res # mountopt3 MOUNTPROC3_DUMP(void) def MOUNTPROC3_DUMP(self): procedure_id = 2 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountopt3() unpacker.done() return res # void MOUNTPROC3_UMNT(dirpath3) def MOUNTPROC3_UMNT(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_dirpath3(p0) self.call(procedure_id, packer.get_buffer()) return None # void MOUNTPROC3_UMNTALL(void) def MOUNTPROC3_UMNTALL(self): procedure_id = 4 self.call(procedure_id, '') return None # exportsopt3 MOUNTPROC3_EXPORT(void) def MOUNTPROC3_EXPORT(self): procedure_id = 5 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_exportsopt3() unpacker.done() return res class RawUDPMOUNT_V3(rpc.RawUDPClient): def __init__(self, host, port, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.RawUDPClient.__init__(self, host, port, program=const.MOUNT_PROGRAM, version=const.MOUNT_V3, **kwargs) # void MOUNTPROC3_NULL(void) def MOUNTPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # mountres3 MOUNTPROC3_MNT(dirpath3) def MOUNTPROC3_MNT(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_dirpath3(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountres3() unpacker.done() return res # mountopt3 MOUNTPROC3_DUMP(void) def MOUNTPROC3_DUMP(self): procedure_id = 2 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountopt3() unpacker.done() return res # void MOUNTPROC3_UMNT(dirpath3) def MOUNTPROC3_UMNT(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_dirpath3(p0) self.call(procedure_id, packer.get_buffer()) return None # void MOUNTPROC3_UMNTALL(void) def MOUNTPROC3_UMNTALL(self): procedure_id = 4 self.call(procedure_id, '') return None # exportsopt3 MOUNTPROC3_EXPORT(void) def MOUNTPROC3_EXPORT(self): procedure_id = 5 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_exportsopt3() unpacker.done() return res class UDPMOUNT_V3(rpc.UDPClient): def __init__(self, host, **kwargs): if 'program' in kwargs or 'version' in kwargs: raise TypeError('Unexpected keyword argument') rpc.UDPClient.__init__(self, host, program=const.MOUNT_PROGRAM, version=const.MOUNT_V3, **kwargs) # void MOUNTPROC3_NULL(void) def MOUNTPROC3_NULL(self): procedure_id = 0 self.call(procedure_id, '') return None # mountres3 MOUNTPROC3_MNT(dirpath3) def MOUNTPROC3_MNT(self, p0): procedure_id = 1 packer = pack.protPacker() packer.pack_dirpath3(p0) res = self.call(procedure_id, packer.get_buffer()) unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountres3() unpacker.done() return res # mountopt3 MOUNTPROC3_DUMP(void) def MOUNTPROC3_DUMP(self): procedure_id = 2 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_mountopt3() unpacker.done() return res # void MOUNTPROC3_UMNT(dirpath3) def MOUNTPROC3_UMNT(self, p0): procedure_id = 3 packer = pack.protPacker() packer.pack_dirpath3(p0) self.call(procedure_id, packer.get_buffer()) return None # void MOUNTPROC3_UMNTALL(void) def MOUNTPROC3_UMNTALL(self): procedure_id = 4 self.call(procedure_id, '') return None # exportsopt3 MOUNTPROC3_EXPORT(void) def MOUNTPROC3_EXPORT(self): procedure_id = 5 res = self.call(procedure_id, '') unpacker = pack.protUnpacker(res) res = unpacker.unpack_exportsopt3() unpacker.done() return res def __getitem__(self, key): d = { const.RawTCPMOUNT_V3 : 'RawTCPMOUNT_V3', const.TCPMOUNT_V3 : 'TCPMOUNT_V3', const.RawUDPMOUNT_V3 : 'RawUDPMOUNT_V3', const.UDPMOUNT_V3 : 'UDPMOUNT_V3' } return getattr(self, d[key]) MOUNT_PROGRAM = MOUNT_PROGRAM()

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19,826

py

Python

sdk/python/pulumi_azure/network/network_security_group.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/network/network_security_group.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/network/network_security_group.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['NetworkSecurityGroupArgs', 'NetworkSecurityGroup'] @pulumi.input_type class NetworkSecurityGroupArgs: def __init__(__self__, *, resource_group_name: pulumi.Input[str], location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, security_rules: Optional[pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a NetworkSecurityGroup resource. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the security rule. :param pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]] security_rules: A list of objects representing security rules, as defined below. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ pulumi.set(__self__, "resource_group_name", resource_group_name) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if security_rules is not None: pulumi.set(__self__, "security_rules", security_rules) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the security rule. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="securityRules") def security_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]]]: """ A list of objects representing security rules, as defined below. """ return pulumi.get(self, "security_rules") @security_rules.setter def security_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]]]): pulumi.set(self, "security_rules", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _NetworkSecurityGroupState: def __init__(__self__, *, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, security_rules: Optional[pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering NetworkSecurityGroup resources. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the security rule. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]] security_rules: A list of objects representing security rules, as defined below. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if security_rules is not None: pulumi.set(__self__, "security_rules", security_rules) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the security rule. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="securityRules") def security_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]]]: """ A list of objects representing security rules, as defined below. """ return pulumi.get(self, "security_rules") @security_rules.setter def security_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['NetworkSecurityGroupSecurityRuleArgs']]]]): pulumi.set(self, "security_rules", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class NetworkSecurityGroup(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, security_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NetworkSecurityGroupSecurityRuleArgs']]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): """ Manages a network security group that contains a list of network security rules. Network security groups enable inbound or outbound traffic to be enabled or denied. > **NOTE on Network Security Groups and Network Security Rules:** This provider currently provides both a standalone Network Security Rule resource, and allows for Network Security Rules to be defined in-line within the Network Security Group resource. At this time you cannot use a Network Security Group with in-line Network Security Rules in conjunction with any Network Security Rule resources. Doing so will cause a conflict of rule settings and will overwrite rules. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_network_security_group = azure.network.NetworkSecurityGroup("exampleNetworkSecurityGroup", location=example_resource_group.location, resource_group_name=example_resource_group.name, security_rules=[azure.network.NetworkSecurityGroupSecurityRuleArgs( name="test123", priority=100, direction="Inbound", access="Allow", protocol="Tcp", source_port_range="*", destination_port_range="*", source_address_prefix="*", destination_address_prefix="*", )], tags={ "environment": "Production", }) ``` ## Import Network Security Groups can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:network/networkSecurityGroup:NetworkSecurityGroup group1 /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Network/networkSecurityGroups/mySecurityGroup ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the security rule. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NetworkSecurityGroupSecurityRuleArgs']]]] security_rules: A list of objects representing security rules, as defined below. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ ... @overload def __init__(__self__, resource_name: str, args: NetworkSecurityGroupArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a network security group that contains a list of network security rules. Network security groups enable inbound or outbound traffic to be enabled or denied. > **NOTE on Network Security Groups and Network Security Rules:** This provider currently provides both a standalone Network Security Rule resource, and allows for Network Security Rules to be defined in-line within the Network Security Group resource. At this time you cannot use a Network Security Group with in-line Network Security Rules in conjunction with any Network Security Rule resources. Doing so will cause a conflict of rule settings and will overwrite rules. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_network_security_group = azure.network.NetworkSecurityGroup("exampleNetworkSecurityGroup", location=example_resource_group.location, resource_group_name=example_resource_group.name, security_rules=[azure.network.NetworkSecurityGroupSecurityRuleArgs( name="test123", priority=100, direction="Inbound", access="Allow", protocol="Tcp", source_port_range="*", destination_port_range="*", source_address_prefix="*", destination_address_prefix="*", )], tags={ "environment": "Production", }) ``` ## Import Network Security Groups can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:network/networkSecurityGroup:NetworkSecurityGroup group1 /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Network/networkSecurityGroups/mySecurityGroup ``` :param str resource_name: The name of the resource. :param NetworkSecurityGroupArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(NetworkSecurityGroupArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, security_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NetworkSecurityGroupSecurityRuleArgs']]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = NetworkSecurityGroupArgs.__new__(NetworkSecurityGroupArgs) __props__.__dict__["location"] = location __props__.__dict__["name"] = name if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["security_rules"] = security_rules __props__.__dict__["tags"] = tags super(NetworkSecurityGroup, __self__).__init__( 'azure:network/networkSecurityGroup:NetworkSecurityGroup', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, security_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NetworkSecurityGroupSecurityRuleArgs']]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'NetworkSecurityGroup': """ Get an existing NetworkSecurityGroup resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the security rule. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NetworkSecurityGroupSecurityRuleArgs']]]] security_rules: A list of objects representing security rules, as defined below. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _NetworkSecurityGroupState.__new__(_NetworkSecurityGroupState) __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["security_rules"] = security_rules __props__.__dict__["tags"] = tags return NetworkSecurityGroup(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def location(self) -> pulumi.Output[str]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the security rule. """ return pulumi.get(self, "name") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the resource group in which to create the network security group. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="securityRules") def security_rules(self) -> pulumi.Output[Sequence['outputs.NetworkSecurityGroupSecurityRule']]: """ A list of objects representing security rules, as defined below. """ return pulumi.get(self, "security_rules") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags")

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0

1

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null

0

8

c4b89e9cb24c513919fd8f676dd769e4e38c37ed

2,240

py

Python

Settings/set1-test_of_models_against_datasets/models_30m_640px.py

previtus/MGR-Project-Code

1126215059eb3f731dcf78ec24d9a480e73abce6

[ "MIT" ]

null

Settings/set1-test_of_models_against_datasets/models_30m_640px.py

previtus/MGR-Project-Code

1126215059eb3f731dcf78ec24d9a480e73abce6

[ "MIT" ]

null

Settings/set1-test_of_models_against_datasets/models_30m_640px.py

previtus/MGR-Project-Code

1126215059eb3f731dcf78ec24d9a480e73abce6

[ "MIT" ]

null

def Setup(Settings,DefaultModel): # set1-test_of_models_against_datasets/models_30m_640px.py Settings["experiment_name"] = "set1c_Models_Test_30m_640px" Settings["graph_histories"] = ['together', [0,1], [1,2], [0,2]] n=0 # 5556x_minlen30_640px 5556x_minlen20_640px 5556x_reslen20_299px 5556x_reslen30_299px Settings["models"][n]["dataset_name"] = "5556x_minlen30_640px" Settings["models"][n]["dump_file_override"] = 'SegmentsData_marked_R100_4Tables.dump' Settings["models"][n]["pixels"] = 640 Settings["models"][n]["model_type"] = 'img_osm_mix' Settings["models"][n]["unique_id"] = 'mix' Settings["models"][n]["top_repeat_FC_block"] = 2 Settings["models"][n]["epochs"] = 800 # c Settings["models"][n]["loss_func"] = 'mean_absolute_error' Settings["models"][n]["metrics"] = ['mean_squared_error'] Settings["models"].append(DefaultModel.copy()) n=1 Settings["models"][n]["dataset_pointer"] = -1 # 0 - reuse the first dataset Settings["models"][n]["dataset_name"] = "5556x_minlen30_640px" Settings["models"][n]["dump_file_override"] = 'SegmentsData_marked_R100_4Tables.dump' Settings["models"][n]["pixels"] = 640 Settings["models"][n]["model_type"] = 'osm_only' Settings["models"][n]["unique_id"] = 'osm_only' Settings["models"][n]["top_repeat_FC_block"] = 2 Settings["models"][n]["epochs"] = 800 # c Settings["models"][n]["loss_func"] = 'mean_absolute_error' Settings["models"][n]["metrics"] = ['mean_squared_error'] Settings["models"].append(DefaultModel.copy()) n=2 Settings["models"][n]["dataset_pointer"] = -1 # 0 - reuse the first dataset Settings["models"][n]["dataset_name"] = "5556x_minlen30_640px" Settings["models"][n]["dump_file_override"] = 'SegmentsData_marked_R100_4Tables.dump' Settings["models"][n]["pixels"] = 640 Settings["models"][n]["model_type"] = 'simple_cnn_with_top' Settings["models"][n]["unique_id"] = 'img_only' Settings["models"][n]["top_repeat_FC_block"] = 2 Settings["models"][n]["epochs"] = 800 # c Settings["models"][n]["loss_func"] = 'mean_absolute_error' Settings["models"][n]["metrics"] = ['mean_squared_error'] return Settings

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1

0

1

0

null

0

8

1efad1a35e93faacafc9b02795eac73c00071c63

68

py

Python

bugtests/test341c1.py

jeff5/jython-whinchat

65d8e5268189f8197295ff2d91be3decb1ee0081

[ "CNRI-Jython" ]

577

2020-06-04T16:34:44.000Z

2022-03-31T11:46:07.000Z

bugtests/test341c1.py

jeff5/jython-whinchat

65d8e5268189f8197295ff2d91be3decb1ee0081

[ "CNRI-Jython" ]

174

2015-01-08T20:37:09.000Z

2020-06-03T16:48:59.000Z

bugtests/test341c1.py

jeff5/jython-whinchat

65d8e5268189f8197295ff2d91be3decb1ee0081

[ "CNRI-Jython" ]

162

2015-02-07T02:14:38.000Z

2020-05-30T16:42:03.000Z

from test341c2 import test341c2 class bar(test341c2): pass

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0.235294

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7

4805a1942f326fefbec9f682bcb72ec1354e6d81

13,365

py

Python

test/test_integration_state.py

talon-one/talon_one.py

f863bb3c2cc5ddc94d9227adcf14947b2ea7db41

[ "MIT" ]

1

2021-03-05T06:41:26.000Z

test/test_integration_state.py

talon-one/talon_one.py

f863bb3c2cc5ddc94d9227adcf14947b2ea7db41

[ "MIT" ]

1

2021-09-07T08:56:58.000Z

test/test_integration_state.py

talon-one/talon_one.py

f863bb3c2cc5ddc94d9227adcf14947b2ea7db41

[ "MIT" ]

1

2019-05-21T10:27:54.000Z

# coding: utf-8 """ Talon.One API The Talon.One API is used to manage applications and campaigns, as well as to integrate with your application. The operations in the _Integration API_ section are used to integrate with our platform, while the other operations are used to manage applications and campaigns. ### Where is the API? The API is available at the same hostname as these docs. For example, if you are reading this page at `https://mycompany.talon.one/docs/api/`, the URL for the [updateCustomerProfile][] operation is `https://mycompany.talon.one/v1/customer_profiles/id` [updateCustomerProfile]: #operation--v1-customer_profiles--integrationId--put # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import datetime import talon_one from talon_one.models.integration_state import IntegrationState # noqa: E501 from talon_one.rest import ApiException class TestIntegrationState(unittest.TestCase): """IntegrationState unit test stubs""" def setUp(self): pass def tearDown(self): pass def make_instance(self, include_optional): """Test IntegrationState include_option is a boolean, when False only required params are included, when True both required and optional params are included """ # model = talon_one.models.integration_state.IntegrationState() # noqa: E501 if include_optional : return IntegrationState( session = talon_one.models.customer_session.CustomerSession( integration_id = '0', created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), application_id = 56, profile_id = '0', coupon = '0', referral = '0', state = 'open', cart_items = [ talon_one.models.cart_item.CartItem( name = '0', sku = '0', quantity = 1, price = 1.337, category = '0', weight = 1.337, height = 1.337, width = 1.337, length = 1.337, position = 1.337, attributes = talon_one.models.item_attributes.Item attributes(), ) ], identifiers = [ '0' ], total = 1.337, attributes = talon_one.models.attributes.attributes(), first_session = True, discounts = { 'key' : 1.337 }, ), profile = talon_one.models.customer_profile.CustomerProfile( integration_id = '0', created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), attributes = talon_one.models.attributes.attributes(), account_id = 56, closed_sessions = 56, total_sales = 1.337, loyalty_memberships = [ talon_one.models.loyalty_membership.LoyaltyMembership( joined = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), loyalty_program_id = 56, ) ], audience_memberships = [ talon_one.models.audience_membership.AudienceMembership( id = 56, name = '0', ) ], last_activity = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), ), event = talon_one.models.event.Event( id = 56, created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), application_id = 56, profile_id = '0', type = '0', attributes = talon_one.models.attributes.attributes(), session_id = '0', effects = [ None ], ledger_entries = [ talon_one.models.ledger_entry.LedgerEntry( id = 56, created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), profile_id = '0', account_id = 56, loyalty_program_id = 56, event_id = 56, amount = 56, reason = '0', expiry_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), reference_id = 56, ) ], meta = talon_one.models.meta.Meta( campaigns = talon_one.models.campaigns.campaigns(), coupons = talon_one.models.coupons.coupons(), coupon_rejection_reason = talon_one.models.coupon_rejection_reason.CouponRejectionReason( campaign_id = 56, coupon_id = 56, reason = 'CouponNotFound', ), referral_rejection_reason = talon_one.models.referral_rejection_reason.ReferralRejectionReason( campaign_id = 56, referral_id = 56, reason = 'ReferralNotFound', ), warnings = talon_one.models.warnings.warnings(), ), ), loyalty = talon_one.models.loyalty.Loyalty( programs = { 'key' : talon_one.models.loyalty_program_ledgers.LoyaltyProgramLedgers( id = 56, title = '0', name = '0', ledger = talon_one.models.loyalty_program_balance.LoyaltyProgramBalance( current_balance = 1.337, pending_balance = 1.337, expired_balance = 1.337, spent_balance = 1.337, tentative_current_balance = 1.337, ), sub_ledgers = { 'key' : talon_one.models.loyalty_program_balance.LoyaltyProgramBalance( current_balance = 1.337, pending_balance = 1.337, expired_balance = 1.337, spent_balance = 1.337, tentative_current_balance = 1.337, ) }, ) }, ), coupon = talon_one.models.coupon.Coupon( id = 56, created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), campaign_id = 56, value = '0123', usage_limit = 0, discount_limit = 0, start_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), expiry_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), usage_counter = 56, discount_counter = 1.337, discount_remainder = 1.337, attributes = talon_one.models.attributes_of_coupon.Attributes of coupon(), referral_id = 56, recipient_integration_id = '0', import_id = 56, reservation = True, batch_id = '0', ) ) else : return IntegrationState( session = talon_one.models.customer_session.CustomerSession( integration_id = '0', created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), application_id = 56, profile_id = '0', coupon = '0', referral = '0', state = 'open', cart_items = [ talon_one.models.cart_item.CartItem( name = '0', sku = '0', quantity = 1, price = 1.337, category = '0', weight = 1.337, height = 1.337, width = 1.337, length = 1.337, position = 1.337, attributes = talon_one.models.item_attributes.Item attributes(), ) ], identifiers = [ '0' ], total = 1.337, attributes = talon_one.models.attributes.attributes(), first_session = True, discounts = { 'key' : 1.337 }, ), profile = talon_one.models.customer_profile.CustomerProfile( integration_id = '0', created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), attributes = talon_one.models.attributes.attributes(), account_id = 56, closed_sessions = 56, total_sales = 1.337, loyalty_memberships = [ talon_one.models.loyalty_membership.LoyaltyMembership( joined = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), loyalty_program_id = 56, ) ], audience_memberships = [ talon_one.models.audience_membership.AudienceMembership( id = 56, name = '0', ) ], last_activity = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), ), event = talon_one.models.event.Event( id = 56, created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), application_id = 56, profile_id = '0', type = '0', attributes = talon_one.models.attributes.attributes(), session_id = '0', effects = [ None ], ledger_entries = [ talon_one.models.ledger_entry.LedgerEntry( id = 56, created = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), profile_id = '0', account_id = 56, loyalty_program_id = 56, event_id = 56, amount = 56, reason = '0', expiry_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), reference_id = 56, ) ], meta = talon_one.models.meta.Meta( campaigns = talon_one.models.campaigns.campaigns(), coupons = talon_one.models.coupons.coupons(), coupon_rejection_reason = talon_one.models.coupon_rejection_reason.CouponRejectionReason( campaign_id = 56, coupon_id = 56, reason = 'CouponNotFound', ), referral_rejection_reason = talon_one.models.referral_rejection_reason.ReferralRejectionReason( campaign_id = 56, referral_id = 56, reason = 'ReferralNotFound', ), warnings = talon_one.models.warnings.warnings(), ), ), ) def testIntegrationState(self): """Test IntegrationState""" inst_req_only = self.make_instance(include_optional=False) inst_req_and_optional = self.make_instance(include_optional=True) if __name__ == '__main__': unittest.main()

51.206897

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13,365

4.782095

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0.067821

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0.084069

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0

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13,365

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0.030172

null

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null

0

1

0

1

0

null

0

1

0

7

481ea07cd917f474a27381b5979b9b17f52dae20

11,050

py

Python

tests/cpu/instruction/test_bitey_cpu_instruction_bit.py

jgerrish/bitey

a393a83c19338d94116f3405f4b8a0f03ea84d79

[ "MIT" ]

null

tests/cpu/instruction/test_bitey_cpu_instruction_bit.py

jgerrish/bitey

a393a83c19338d94116f3405f4b8a0f03ea84d79

[ "MIT" ]

null

tests/cpu/instruction/test_bitey_cpu_instruction_bit.py

jgerrish/bitey

a393a83c19338d94116f3405f4b8a0f03ea84d79

[ "MIT" ]

null

import pytest import tests.computer.computer import tests.memory.memory # TODO Maybe refactor so these are not needed from bitey.cpu.addressing_mode import AbsoluteAddressingMode, ZeroPageAddressingMode from bitey.cpu.instruction.opcode import Opcode from bitey.cpu.instruction.bit import BIT # module scope means run once per test module @pytest.fixture(scope="module") def setup(): computer = tests.computer.computer.init_computer() yield computer def test_cpu_instruction_bit_zeropage(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x21) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0x3C) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", False), ("N", False)], [] ) assert i1.result == 0x20 def test_cpu_instruction_bit_zeropage_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x61) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0x9D) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", False), ("N", True)], [] ) assert i1.result == 0x01 def test_cpu_instruction_bit_zeropage_overflow_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x9D) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0x61) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", True), ("N", False)], [] ) assert i1.result == 0x01 def test_cpu_instruction_bit_zeropage_overflow_and_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x9D) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0xE1) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", True), ("N", True)], [] ) assert i1.result == 0x81 def test_cpu_instruction_bit_zeropage_zero_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x1C) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0x21) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", False), ("N", False)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_zeropage_zero_and_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x61) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0x9C) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", False), ("N", True)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_zeropage_zero_and_overflow_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x9C) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0x61) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", True), ("N", False)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_zeropage_zero_and_overflow_and_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x1C) # The zero page location to read the value from computer.memory.write(0x00, 0x01) # The value computer.memory.write(0x01, 0xE1) i1_opcode = Opcode(0x24, ZeroPageAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", True), ("N", True)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_absolute(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x21) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0x3C) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", False), ("N", False)], [] ) assert i1.result == 0x20 def test_cpu_instruction_bit_absolute_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x61) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0x9D) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", False), ("N", True)], [] ) assert i1.result == 0x01 def test_cpu_instruction_bit_absolute_overflow_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x9D) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0x61) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", True), ("N", False)], [] ) assert i1.result == 0x01 def test_cpu_instruction_bit_absolute_overflow_and_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x9D) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0xE1) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", False), ("V", True), ("N", True)], [] ) assert i1.result == 0x81 def test_cpu_instruction_bit_absolute_zero_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x1C) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0x21) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", False), ("N", False)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_absolute_zero_and_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x61) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0x9C) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", False), ("N", True)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_absolute_zero_and_overflow_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x9C) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0x61) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", True), ("N", False)], [] ) assert i1.result == 0x00 def test_cpu_instruction_bit_absolute_zero_and_overflow_and_negative_flag(setup): computer = setup computer.reset() computer.cpu.registers["PC"].set(0x00) computer.cpu.registers["A"].set(0x1C) # The memory location to read the value from computer.memory.write(0x00, 0x02) computer.memory.write(0x01, 0x00) # The value computer.memory.write(0x02, 0xE1) i1_opcode = Opcode(0x2C, AbsoluteAddressingMode()) i1 = BIT("BIT", i1_opcode, "Test Bits in Memory with Accumulator") tests.computer.computer.execute_explicit_instruction( computer, i1_opcode, i1, [], [("Z", True), ("V", True), ("N", True)], [] ) assert i1.result == 0x00

28.851175

84

0.678733

1,422

11,050

5.137834

0.057665

0.05256

0.104024

0.04599

0.944703

0.938133

0.935943

0

0.055685

0.187421

11,050

382

85

28.926702

0.757991

0.086787

0

0.778761

0

0.072196

0

0.057279

0.002618

0.070796

1

0.075221

false

0

0.026549

0

0.10177

0

null

0

1

0

1

0

null

0

7

483564b423122878993a9d78643a928c93edb783

15,415

py

Python

tests/src/main/python/rest/tests/extract/swagger_client/api/status_api.py

IBM/quality-measure-and-cohort-service

8963227bf4941d6a5fdc641b37ca0f72da5a6f2b

[ "Apache-2.0" ]

1

2020-10-05T15:10:03.000Z

tests/src/main/python/rest/tests/extract/swagger_client/api/status_api.py

IBM/quality-measure-and-cohort-service

8963227bf4941d6a5fdc641b37ca0f72da5a6f2b

[ "Apache-2.0" ]

null

tests/src/main/python/rest/tests/extract/swagger_client/api/status_api.py

IBM/quality-measure-and-cohort-service

8963227bf4941d6a5fdc641b37ca0f72da5a6f2b

[ "Apache-2.0" ]

null

# coding: utf-8 """ IBM Cohort Engine Service to evaluate cohorts and measures # noqa: E501 OpenAPI spec version: 2.1.0 2022-02-18T21:50:45Z Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class StatusApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_health_check_status(self, **kwargs): # noqa: E501 """Determine if service is running correctly # noqa: E501 This resource differs from /status in that it will will always return a 500 error if the service state is not OK. This makes it simpler for service front ends (such as Datapower) to detect a failed service. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_health_check_status(async_req=True) >>> result = thread.get() :param async_req bool :param str format: Override response format :return: ServiceStatus If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_health_check_status_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_health_check_status_with_http_info(**kwargs) # noqa: E501 return data def get_health_check_status_with_http_info(self, **kwargs): # noqa: E501 """Determine if service is running correctly # noqa: E501 This resource differs from /status in that it will will always return a 500 error if the service state is not OK. This makes it simpler for service front ends (such as Datapower) to detect a failed service. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_health_check_status_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str format: Override response format :return: ServiceStatus If the method is called asynchronously, returns the request thread. """ all_params = ['format'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_health_check_status" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'format' in params: query_params.append(('format', params['format'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1/status/health_check', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ServiceStatus', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_service_status(self, **kwargs): # noqa: E501 """Get status of service # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_service_status(async_req=True) >>> result = thread.get() :param async_req bool :param str format: Override response format :param str liveness_check: Perform a shallow liveness check :return: ServiceStatus If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_service_status_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_service_status_with_http_info(**kwargs) # noqa: E501 return data def get_service_status_with_http_info(self, **kwargs): # noqa: E501 """Get status of service # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_service_status_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str format: Override response format :param str liveness_check: Perform a shallow liveness check :return: ServiceStatus If the method is called asynchronously, returns the request thread. """ all_params = ['format', 'liveness_check'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_service_status" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'format' in params: query_params.append(('format', params['format'])) # noqa: E501 if 'liveness_check' in params: query_params.append(('liveness_check', params['liveness_check'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1/status', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ServiceStatus', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def health_check_enhanced(self, version, fhir_server_connection_config, **kwargs): # noqa: E501 """Get the status of the cohorting service and dependent downstream services # noqa: E501 Checks the status of the cohorting service and any downstream services used by the cohorting service # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.health_check_enhanced(version, fhir_server_connection_config, async_req=True) >>> result = thread.get() :param async_req bool :param str version: The release date of the version of the API you want to use. Specify dates in YYYY-MM-DD format. (required) :param file fhir_server_connection_config: A configuration file containing information needed to connect to the FHIR server. See https://github.com/Alvearie/quality-measure-and-cohort-service/blob/main/docs/user-guide/fhir-server-config.md for more details. Example Contents: <pre>{ \"dataServerConfig\": { \"@class\": \"com.ibm.cohort.fhir.client.config.IBMFhirServerConfig\", \"endpoint\": \"ENDPOINT\", \"user\": \"USER\", \"password\": \"PASSWORD\", \"logInfo\": [ \"REQUEST_SUMMARY\", \"RESPONSE_SUMMARY\" ], \"tenantId\": \"default\" }, \"terminologyServerConfig\": { \"@class\": \"com.ibm.cohort.fhir.client.config.IBMFhirServerConfig\", \"endpoint\": \"ENDPOINT\", \"user\": \"USER\", \"password\": \"PASSWORD\", \"logInfo\": [ \"REQUEST_SUMMARY\", \"RESPONSE_SUMMARY\" ], \"tenantId\": \"default\" } }</pre> (required) :return: EnhancedHealthCheckResults If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.health_check_enhanced_with_http_info(version, fhir_server_connection_config, **kwargs) # noqa: E501 else: (data) = self.health_check_enhanced_with_http_info(version, fhir_server_connection_config, **kwargs) # noqa: E501 return data def health_check_enhanced_with_http_info(self, version, fhir_server_connection_config, **kwargs): # noqa: E501 """Get the status of the cohorting service and dependent downstream services # noqa: E501 Checks the status of the cohorting service and any downstream services used by the cohorting service # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.health_check_enhanced_with_http_info(version, fhir_server_connection_config, async_req=True) >>> result = thread.get() :param async_req bool :param str version: The release date of the version of the API you want to use. Specify dates in YYYY-MM-DD format. (required) :param file fhir_server_connection_config: A configuration file containing information needed to connect to the FHIR server. See https://github.com/Alvearie/quality-measure-and-cohort-service/blob/main/docs/user-guide/fhir-server-config.md for more details. Example Contents: <pre>{ \"dataServerConfig\": { \"@class\": \"com.ibm.cohort.fhir.client.config.IBMFhirServerConfig\", \"endpoint\": \"ENDPOINT\", \"user\": \"USER\", \"password\": \"PASSWORD\", \"logInfo\": [ \"REQUEST_SUMMARY\", \"RESPONSE_SUMMARY\" ], \"tenantId\": \"default\" }, \"terminologyServerConfig\": { \"@class\": \"com.ibm.cohort.fhir.client.config.IBMFhirServerConfig\", \"endpoint\": \"ENDPOINT\", \"user\": \"USER\", \"password\": \"PASSWORD\", \"logInfo\": [ \"REQUEST_SUMMARY\", \"RESPONSE_SUMMARY\" ], \"tenantId\": \"default\" } }</pre> (required) :return: EnhancedHealthCheckResults If the method is called asynchronously, returns the request thread. """ all_params = ['version', 'fhir_server_connection_config'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method health_check_enhanced" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'version' is set if self.api_client.client_side_validation and ('version' not in params or params['version'] is None): # noqa: E501 raise ValueError("Missing the required parameter `version` when calling `health_check_enhanced`") # noqa: E501 # verify the required parameter 'fhir_server_connection_config' is set if self.api_client.client_side_validation and ('fhir_server_connection_config' not in params or params['fhir_server_connection_config'] is None): # noqa: E501 raise ValueError("Missing the required parameter `fhir_server_connection_config` when calling `health_check_enhanced`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} if 'fhir_server_connection_config' in params: local_var_files['fhir_server_connection_config'] = params['fhir_server_connection_config'] # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['multipart/form-data']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1/status/health_check_enhanced', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EnhancedHealthCheckResults', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

46.996951

1,021

0.621018

1,755

15,415

5.225071

0.136182

0.041876

0.034896

0.045365

0.903926

0.884188

0.87121

0.83795

0.834024

0.829335

0

0.015896

0.281739

15,415

327

1,022

47.140673

0.812319

0.439377

0

0.708333

1

0

0.187325

0.073196

0

1

0.041667

false

0

0.02381

0

0.125

0

null

0

1

0

1

0

1

0

null

0

9

484bc65665590cbcb25bd216883d1a064a95570d

1,272

py

Python

8.py

gricey432/Euler

3bbdfc5dfe58df9a5b0217980d8951f00f53beed

[ "MIT" ]

null

8.py

gricey432/Euler

3bbdfc5dfe58df9a5b0217980d8951f00f53beed

[ "MIT" ]

null

8.py

gricey432/Euler

3bbdfc5dfe58df9a5b0217980d8951f00f53beed

[ "MIT" ]

null

import operator def str_product(iterable): nums = [int(c) for c in iterable] return reduce(operator.mul, nums, 1) numbers = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450" combos = [numbers[a:a+13] for a in range(len(numbers) - 12)] products = [str_product(combo) for combo in combos] print max(products)

97.846154

1,012

0.934748

44

1,272

26.977273

0.613636

0.016849

0

0.821078

0.037736

1,272

12

1,013

106

0.148693

0

0.786164

0

1

0

null

0

0.125

null

0.125

0

1

null

0

1

0

1

0

1

null

1

0

1

0

9

485bd1595d99a78a6756bc76566aa7d2cf851708

110

py

Python

luvina/backend/backend.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

luvina/backend/backend.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

luvina/backend/backend.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

from .enchant_backend import * from .nltk_backend import * from .spacy_backend import * from .common import *

22

30

0.781818

15

110

5.533333

0.466667

0.46988

0.614458

0

0.145455

110

4

31

27.5

0.882979

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

4872f72df1a4000bb4bfea63b6cf52d3e678227c

192

py

Python

rubin_sim/scheduler/surveys/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

rubin_sim/scheduler/surveys/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

rubin_sim/scheduler/surveys/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

from .base_survey import * from .surveys import * from .dd_surveys import * from .scripted_surveys import * from .too_surveys import * from .desc_ddf import * from .plan_night_survey import *

24

32

0.78125

28

192

5.107143

0.428571

0.41958

0.475524

0

0.145833

192

7

33

27.428571

0.871951

0

1

0

true

0

1

0

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7

4875428bbca4b69dfb60035060ebe43cbd598d4e

37,517

py

Python

demos/sprites/sprite1.py

rlugojr/PX8

b081611dde998a06910d57037ca20b5fbd90123b

[ "MIT" ]

21

2019-05-31T17:15:54.000Z

2022-02-26T04:59:07.000Z

demos/sprites/sprite1.py

rlugojr/PX8

b081611dde998a06910d57037ca20b5fbd90123b

[ "MIT" ]

null

demos/sprites/sprite1.py

rlugojr/PX8

b081611dde998a06910d57037ca20b5fbd90123b

[ "MIT" ]

1

2020-06-11T14:57:11.000Z

px8 / python cartridge version 1 __python__ from PIL import Image # Get a PNG and display it directly by adding the color def _init(): cls() im = Image.open("./demos/assets/Tux.png") print(im) pix = im.load() width, height = im.size print(width, height) palettes = {} idx = 16 for x in range(width): for y in range(height): v = pix[x, y][:-1] if v not in palettes: palettes[v] = idx set_palette_color(idx, v[0], v[1], v[2]) idx += 1 pset(x, y, palettes[v]) def _update(): pass def _draw(): pass __gfx__ 10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 00000000088088000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 00000000888887800000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 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0

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0

null

1

0

1

0

16

487f6ca51b72cfba149dbc11c7294a7ca6e60ddb

1,579

py

Python

stock/migrations/0004_auto_20210524_0215.py

ericpesto/Archeon-Django-REST-API

e02b871b95c5247d83580acfe25f6ec299fdb9b1

[ "MIT" ]

1

2021-06-07T17:31:23.000Z

stock/migrations/0004_auto_20210524_0215.py

ericpesto/Archeon-Django-REST-API

e02b871b95c5247d83580acfe25f6ec299fdb9b1

[ "MIT" ]

null

stock/migrations/0004_auto_20210524_0215.py

ericpesto/Archeon-Django-REST-API

e02b871b95c5247d83580acfe25f6ec299fdb9b1

[ "MIT" ]

null

# Generated by Django 3.2.3 on 2021-05-24 02:15 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('stock', '0003_auto_20210522_1811'), ] operations = [ migrations.AlterField( model_name='stock', name='artist_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='buyer_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='category_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='location_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='partner_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='source_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='sub_category_1_id', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='stock', name='sub_category_2_id', field=models.IntegerField(blank=True, null=True), ), ]

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1

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null

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6fa1ec753f3d3bc7506e0710280bd455555fdad1

62,115

py

Python

src/genie/libs/parser/junos/tests/test_show_ldp.py

Jmahaja1/genieparser

b5eff62db24bf70497eba3af5587d77cdbf25784

[ "Apache-2.0" ]

null

src/genie/libs/parser/junos/tests/test_show_ldp.py

Jmahaja1/genieparser

b5eff62db24bf70497eba3af5587d77cdbf25784

[ "Apache-2.0" ]

null

src/genie/libs/parser/junos/tests/test_show_ldp.py

Jmahaja1/genieparser

b5eff62db24bf70497eba3af5587d77cdbf25784

[ "Apache-2.0" ]

null

# Python import unittest from unittest.mock import Mock # ATS from pyats.topology import Device # Metaparser from genie.metaparser.util.exceptions import SchemaEmptyParserError from genie.libs.parser.junos.show_ldp import (ShowLDPSession, ShowLdpNeighbor, ShowLdpSessionIpaddressDetail, ShowLdpDatabaseSessionIpaddress, ShowLDPInterface,ShowLDPInterfaceDetail, ShowLDPOverview) # ================================= # Unit test for 'show ldp session' # ================================= class TestShowLDPSession(unittest.TestCase): '''unit test for "show ldp session''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { 'ldp-session-information': { 'ldp-session': [{ 'ldp-neighbor-address': '10.34.2.250', 'ldp-session-state': 'Operational', 'ldp-connection-state': 'Open', 'ldp-remaining-time': '26', 'ldp-session-adv-mode': 'DU' }] } } golden_output = { 'execute.return_value': ''' Address State Connection Hold time Adv. Mode 10.34.2.250 Operational Open 26 DU ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLDPSession(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLDPSession(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) # =============================================== # Unit test for 'show ldp interface {interface}' # =============================================== class TestShowLDPInterface(unittest.TestCase): '''unit test for "show ldp interface {interface}''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-interface-information": { "ldp-interface": { "interface-name": "ge-0/0/0.0", "ldp-interface-local-address": "10.169.14.157", "ldp-label-space-id": "10.169.14.240:0", "ldp-neighbor-count": "1", "ldp-next-hello": "3" } } } golden_output = { 'execute.return_value': ''' show ldp interface ge-0/0/0.0 Interface Address Label space ID Nbr Next count hello ge-0/0/0.0 10.169.14.157 10.169.14.240:0 1 3 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLDPInterface(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse(interface='ge-0/0/0.0') def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLDPInterface(device=self.device) parsed_output = obj.parse(interface='ge-0/0/0.0') self.assertEqual(parsed_output, self.golden_parsed_output) # ===================================================== # Unit test for 'show ldp interface {interface} detail' # ===================================================== class TestShowLDPInterfaceDetail(unittest.TestCase): '''unit test for "show ldp interface {interface} detail''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-interface-information": { "ldp-interface": { "interface-name": "ge-0/0/0.0", "ldp-interface-local-address": "10.169.14.157", "ldp-label-space-id": "10.169.14.240:0", "ldp-neighbor-count": "1", "ldp-next-hello": "1", "ldp-transport-address": "10.169.14.240", "ldp-hello-interval": "5", "ldp-holdtime": "15", } } } golden_output = { 'execute.return_value': ''' show ldp interface ge-0/0/0.0 detail Interface Address Label space ID Nbr Next count hello ge-0/0/0.0 10.169.14.157 10.169.14.240:0 1 1 Hello interval: 5, Hold time: 15, Transport address: 10.169.14.240 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLDPInterfaceDetail(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse(interface='ge-0/0/0.0') def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLDPInterfaceDetail(device=self.device) parsed_output = obj.parse(interface='ge-0/0/0.0') self.assertEqual(parsed_output, self.golden_parsed_output) # ================================= # Unit test for 'show ldp neighbor' # ================================= class TestShowLDPSession(unittest.TestCase): '''unit test for "show ldp session''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { 'ldp-neighbor-information': {'ldp-neighbor': [ {'interface-name': 'ge-0/0/0.0', 'ldp-label-space-id': '10.34.2.250:0', 'ldp-neighbor-address': '10.169.14.158', 'ldp-remaining-time': '14' } ] } } golden_output = { 'execute.return_value': ''' show ldp neighbor Address Interface Label space ID Hold time 10.169.14.158 ge-0/0/0.0 10.34.2.250:0 14 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLdpNeighbor(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLdpNeighbor(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) # ================================= # Unit test for 'show ldp database session ipaddress' # ================================= class TestShowLDPSession(unittest.TestCase): '''unit test for "show ldp database session ipaddress''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-database-information": { "ldp-database": [ { "ldp-binding": [ { "ldp-label": "3", "ldp-prefix": "10.34.2.250/32" }, { "ldp-label": "16", "ldp-prefix": "10.169.14.240/32" } ], "ldp-database-type": "Input label database", "ldp-label-received": "2", "ldp-session-id": "10.169.14.240:0--10.34.2.250:0" }, { "ldp-binding": [ { "ldp-label": "16", "ldp-prefix": "10.34.2.250/32" }, { "ldp-label": "3", "ldp-prefix": "10.169.14.240/32" } ], "ldp-database-type": "Output label database", "ldp-label-advertised": "2", "ldp-session-id": "10.169.14.240:0--10.34.2.250:0" } ] } } golden_output = { 'execute.return_value': ''' show ldp database 10.34.2.250 Input label database, 10.169.14.240:0--10.34.2.250:0 Labels received: 2 Label Prefix 3 10.34.2.250/32 16 10.169.14.240/32 Output label database, 10.169.14.240:0--10.34.2.250:0 Labels advertised: 2 Label Prefix 16 10.34.2.250/32 3 10.169.14.240/32 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLdpDatabaseSessionIpaddress(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLdpDatabaseSessionIpaddress(device=self.device) parsed_output = obj.parse(ipaddress='10.34.2.250') self.assertEqual(parsed_output, self.golden_parsed_output) # ================================= # Unit test for 'show ldp neighbor' # ================================= class TestShowLdpNeighbor(unittest.TestCase): '''unit test for "show ldp neighbor ''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { 'ldp-neighbor-information': {'ldp-neighbor': [ {'interface-name': 'ge-0/0/0.0', 'ldp-label-space-id': '10.34.2.250:0', 'ldp-neighbor-address': '10.169.14.158', 'ldp-remaining-time': '14' } ] } } golden_output = { 'execute.return_value': ''' show ldp neighbor Address Interface Label space ID Hold time 10.169.14.158 ge-0/0/0.0 10.34.2.250:0 14 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLdpNeighbor(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLdpNeighbor(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) # ================================= # Unit test for 'show ldp database session ipaddress' # ================================= class TestShowLdpDatabaseSessionIpaddress(unittest.TestCase): '''unit test for "show ldp database session ipaddress''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-database-information": { "ldp-database": [ { "ldp-binding": [ { "ldp-label": "3", "ldp-prefix": "10.34.2.250/32" }, { "ldp-label": "16", "ldp-prefix": "10.169.14.240/32" } ], "ldp-database-type": "Input label database", "ldp-label-received": "2", "ldp-session-id": "10.169.14.240:0--10.34.2.250:0" }, { "ldp-binding": [ { "ldp-label": "16", "ldp-prefix": "10.34.2.250/32" }, { "ldp-label": "3", "ldp-prefix": "10.169.14.240/32" } ], "ldp-database-type": "Output label database", "ldp-label-advertised": "2", "ldp-session-id": "10.169.14.240:0--10.34.2.250:0" } ] } } golden_output = { 'execute.return_value': ''' show ldp database 10.34.2.250 Input label database, 10.169.14.240:0--10.34.2.250:0 Labels received: 2 Label Prefix 3 10.34.2.250/32 16 10.169.14.240/32 Output label database, 10.169.14.240:0--10.34.2.250:0 Labels advertised: 2 Label Prefix 16 10.34.2.250/32 3 10.169.14.240/32 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLdpDatabaseSessionIpaddress(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLdpDatabaseSessionIpaddress(device=self.device) parsed_output = obj.parse(ipaddress='10.34.2.250') self.assertEqual(parsed_output, self.golden_parsed_output) # =============================================== # Unit test for 'show ldp interface {interface}' # =============================================== class TestShowLDPInterface(unittest.TestCase): '''unit test for "show ldp interface {interface}''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-interface-information": { "ldp-interface": { "interface-name": "ge-0/0/0.0", "ldp-interface-local-address": "10.1.2.2", "ldp-label-space-id": "10.204.14.100:0", "ldp-neighbor-count": "1", "ldp-next-hello": "3" } } } golden_output = { 'execute.return_value': ''' show ldp interface ge-0/0/0.0 Interface Address Label space ID Nbr Next count hello ge-0/0/0.0 10.1.2.2 10.204.14.100:0 1 3 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLDPInterface(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse(interface='ge-0/0/0.0') def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLDPInterface(device=self.device) parsed_output = obj.parse(interface='ge-0/0/0.0') self.assertEqual(parsed_output, self.golden_parsed_output) # ===================================================== # Unit test for 'show ldp interface {interface} detail' # ===================================================== class TestShowLDPInterfaceDetail(unittest.TestCase): '''unit test for "show ldp interface {interface} detail''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-interface-information": { "ldp-interface": { "interface-name": "ge-0/0/0.0", "ldp-interface-local-address": "10.1.2.2", "ldp-label-space-id": "10.204.14.100:0", "ldp-neighbor-count": "1", "ldp-next-hello": "1", "ldp-transport-address": "10.204.14.100", "ldp-hello-interval": "5", "ldp-holdtime": "15", } } } golden_output = { 'execute.return_value': ''' show ldp interface ge-0/0/0.0 detail Interface Address Label space ID Nbr Next count hello ge-0/0/0.0 10.1.2.2 10.204.14.100:0 1 1 Hello interval: 5, Hold time: 15, Transport address: 10.204.14.100 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLDPInterfaceDetail(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse(interface='ge-0/0/0.0') def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLDPInterfaceDetail(device=self.device) parsed_output = obj.parse(interface='ge-0/0/0.0') self.assertEqual(parsed_output, self.golden_parsed_output) # ================================= # Unit test for 'show ldp overview' # ================================= class TestShowLDPOverview(unittest.TestCase): '''unit test for "show ldp overview''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_output = {'execute.return_value': ''' show ldp overview Instance: master Reference count: 2 Router ID: 10.204.14.100 LDP inet: enabled Transport preference: IPv4 Message id: 4 Configuration sequence: 1 Deaggregate: disabled Explicit null: disabled IPv6 tunneling: disabled Strict targeted hellos: disabled Loopback if added: no Route preference: 9 Unicast transit LSP chaining: disabled P2MP transit LSP chaining: disabled Transit LSP statistics based on route statistics: disabled LDP route acknowledgement: enabled BGP export: enabled LDP mtu discovery: disabled LDP SR Mapping Client: disabled Capabilities enabled: none Egress FEC capabilities enabled: entropy-label-capability Downstream unsolicited Sessions: Operational: 1 Retention: liberal Control: ordered Auto targeted sessions: Auto targeted: disabled Dynamic tunnel session count: 0 P2MP: Recursive route: disabled No rsvp tunneling: disabled Timers: Keepalive interval: 10, Keepalive timeout: 30 Link hello interval: 5, Link hello hold time: 15 Targeted hello interval: 15, Targeted hello hold time: 45 Label withdraw delay: 60, Make before break timeout: 30 Make before break switchover delay: 3 Link protection timeout: 120 Graceful restart: Restart: disabled, Helper: enabled, Restart in process: false Reconnect time: 60000, Max neighbor reconnect time: 120000 Recovery time: 160000, Max neighbor recovery time: 240000 Traffic Engineering: Bgp igp: disabled Both ribs: disabled Mpls forwarding: disabled IGP: Tracking igp metric: disabled Sync session up delay: 10 Session protection: Session protection: disabled Session protection timeout: 0 Interface addresses advertising: 10.1.2.2 LDP Job: Read job time quantum: 1000, Write job time quantum: 1000 Read job loop quantum: 100, Write job loop quantum: 100 Backup inbound read job time quantum: 1000, Backup outbound read job time quantum: 1000 Backup inbound read job loop quantum: 100, Backup outbound read job loop quantum: 100 Label allocation: Current number of LDP labels allocated: 1 Total number of LDP labels allocated: 1 Total number of LDP labels freed: 0 Total number of LDP label allocation failure: 0 Current number of labels allocated by all protocols: 0 '''} golden_parsed_output = { 'ldp-overview-information': { 'ldp-overview': { 'ldp-auto-targeted-session': { 'ldp-auto-targeted-dyn-tun-ses-count': 0, 'ldp-auto-targeted-session-enabled': 'disabled' }, 'ldp-bgp-export': 'enabled', 'ldp-configuration-sequence': 1, 'ldp-deaggregate': 'disabled', 'ldp-explicit-null': 'disabled', 'ldp-gr-overview': { 'ldp-gr-helper': 'enabled', 'ldp-gr-max-neighbor-reconnect-time': 120000, 'ldp-gr-max-neighbor-recovery-time': 240000, 'ldp-gr-reconnect-time': 60000, 'ldp-gr-recovery-time': 160000, 'ldp-gr-restart': 'disabled', 'ldp-gr-restarting': 'false' }, 'ldp-igp-overview': { 'ldp-igp-sync-session-up-delay': 10, 'ldp-tracking-igp-metric': 'disabled' }, 'ldp-inet': 'enabled', 'ldp-instance-capability': { 'ldp-capability': 'none' }, 'ldp-instance-egress-fec-capability': { 'ldp-egress-fec-capability': 'entropy-label-capability' }, 'ldp-instance-name': 'master', 'ldp-interface-address': { 'interface-address': '10.1.2.2' }, 'ldp-ipv6-tunneling': 'disabled', 'ldp-job-overview': { 'ldp-inbound-read-job-loop-quantum': 100, 'ldp-inbound-read-job-time-quantum': 1000, 'ldp-outbound-read-job-loop-quantum': 100, 'ldp-outbound-read-job-time-quantum': 1000, 'ldp-read-job-loop-quantum': 100, 'ldp-read-job-time-quantum': 1000, 'ldp-write-job-loop-quantum': 100, 'ldp-write-job-time-quantum': 1000 }, 'ldp-label-allocation': { 'ldp-global-label-current-allocs': 0, 'ldp-label-alloc-failure': 0, 'ldp-label-current-allocs': 1, 'ldp-label-total-allocs': 1, 'ldp-label-total-frees': 0 }, 'ldp-loopback-if-added': 'no', 'ldp-message-id': 4, 'ldp-mtu-discovery': 'disabled', 'ldp-p2mp': { 'ldp-p2mp-no-rsvp-tunneling-enabled': 'disabled', 'ldp-p2mp-recursive-route-enabled': 'disabled' }, 'ldp-p2mp-transit-lsp-chaining': 'disabled', 'ldp-reference-count': 2, 'ldp-route-acknowledgement': 'enabled', 'ldp-route-preference': 9, 'ldp-router-id': '10.204.14.100', 'ldp-session-count': { 'ldp-control-mode': 'ordered', 'ldp-retention-mode': 'liberal', 'ldp-session-operational': 1 }, 'ldp-session-protect-overview': { 'ldp-session-protect': 'disabled', 'ldp-session-protect-timeout': 0 }, 'ldp-sr-mapping-client': 'disabled', 'ldp-strict-targeted-hellos': 'disabled', 'ldp-te-overview': { 'ldp-te-bgp-igp': 'disabled', 'ldp-te-both-ribs': 'disabled', 'ldp-te-mpls-forwarding': 'disabled' }, 'ldp-timer-overview': { 'ldp-instance-keepalive-interval': 10, 'ldp-instance-keepalive-timeout': 30, 'ldp-instance-label-withdraw-delay': 60, 'ldp-instance-link-hello-hold-time': 15, 'ldp-instance-link-hello-interval': 5, 'ldp-instance-link-protection-timeout': 120, 'ldp-instance-make-before-break-switchover-delay': 3, 'ldp-instance-make-before-break-timeout': 30, 'ldp-instance-targeted-hello-hold-time': 45, 'ldp-instance-targeted-hello-interval': 15 }, 'ldp-transit-lsp-route-stats': 'disabled', 'ldp-transport-preference': 'IPv4', 'ldp-unicast-transit-lsp-chaining': 'disabled' } } } golden_output_2 = {'execute.return_value': ''' show ldp overview Instance: master Router ID: 10.204.14.100 Message id: 345 Configuration sequence: 1 Deaggregate: disabled Explicit null: disabled IPv6 tunneling: disabled Strict targeted hellos: disabled Loopback if added: no Route preference: 9 Unicast transit LSP chaining: disabled P2MP transit LSP chaining: disabled Transit LSP statistics based on route statistics: disabled Capabilities enabled: none Protocol modes: Distribution: unsolicited Retention: liberal Control: ordered Sessions: Operational: 1 Timers: Keepalive interval: 10, Keepalive timeout: 30 Link hello interval: 5, Link hello hold time: 15 Targeted hello interval: 15, Targeted hello hold time: 45 Label withdraw delay: 60 Graceful restart: Restart: enabled, Helper: enabled, Restart in process: false Reconnect time: 60000, Max neighbor reconnect time: 120000 Recovery time: 160000, Max neighbor recovery time: 240000 Traffic Engineering: Bgp igp: disabled Both ribs: disabled Mpls forwarding: disabled IGP: Tracking igp metric: disabled Sync session up delay: 10 Session protection: Session protection: disabled Session protecton timeout: 0 Interface addresses advertising: 10.1.2.2 '''} golden_parsed_output_2 = { 'ldp-overview-information': { 'ldp-overview': { 'ldp-configuration-sequence': 1, 'ldp-deaggregate': 'disabled', 'ldp-explicit-null': 'disabled', 'ldp-gr-overview': { 'ldp-gr-helper': 'enabled', 'ldp-gr-max-neighbor-reconnect-time': 120000, 'ldp-gr-max-neighbor-recovery-time': 240000, 'ldp-gr-reconnect-time': 60000, 'ldp-gr-recovery-time': 160000, 'ldp-gr-restart': 'enabled', 'ldp-gr-restarting': 'false' }, 'ldp-igp-overview': { 'ldp-igp-sync-session-up-delay': 10, 'ldp-tracking-igp-metric': 'disabled' }, 'ldp-instance-capability': { 'ldp-capability': 'none' }, 'ldp-instance-name': 'master', 'ldp-interface-address': { 'interface-address': '10.1.2.2' }, 'ldp-ipv6-tunneling': 'disabled', 'ldp-loopback-if-added': 'no', 'ldp-message-id': 345, 'ldp-p2mp-transit-lsp-chaining': 'disabled', 'ldp-protocol-modes': { 'ldp-control-mode': 'ordered', 'ldp-distribution-mode': 'unsolicited', 'ldp-retention-mode': 'liberal' }, 'ldp-route-preference': 9, 'ldp-router-id': '10.204.14.100', 'ldp-session-count': { 'ldp-session-operational': 1 }, 'ldp-session-protect-overview': { 'ldp-session-protect': 'disabled', 'ldp-session-protect-timeout': 0 }, 'ldp-strict-targeted-hellos': 'disabled', 'ldp-te-overview': { 'ldp-te-bgp-igp': 'disabled', 'ldp-te-both-ribs': 'disabled', 'ldp-te-mpls-forwarding': 'disabled' }, 'ldp-timer-overview': { 'ldp-instance-keepalive-interval': 10, 'ldp-instance-keepalive-timeout': 30, 'ldp-instance-label-withdraw-delay': 60, 'ldp-instance-link-hello-hold-time': 15, 'ldp-instance-link-hello-interval': 5, 'ldp-instance-targeted-hello-hold-time': 45, 'ldp-instance-targeted-hello-interval': 15 }, 'ldp-transit-lsp-route-stats': 'disabled', 'ldp-unicast-transit-lsp-chaining': 'disabled' } } } golden_output_3 = {'execute.return_value': ''' show ldp overview Instance: master Reference count: 2 Router ID: 10.204.14.100 LDP inet: enabled Transport preference: IPv4 Message id: 4 Configuration sequence: 1 Deaggregate: disabled Explicit null: disabled IPv6 tunneling: disabled Strict targeted hellos: disabled Loopback if added: no Route preference: 9 Unicast transit LSP chaining: disabled P2MP transit LSP chaining: disabled Transit LSP statistics based on route statistics: disabled LDP route acknowledgement: enabled BGP export: enabled LDP mtu discovery: disabled LDP SR Mapping Client: disabled Capabilities enabled: none Egress FEC capabilities enabled: entropy-label-capability Downstream unsolicited Sessions: Operational: 1 Retention: liberal Control: ordered Auto targeted sessions: Auto targeted: disabled Dynamic tunnel session count: 0 P2MP: Recursive route: disabled No rsvp tunneling: disabled Timers: Keepalive interval: 10, Keepalive timeout: 30 Link hello interval: 5, Link hello hold time: 15 Targeted hello interval: 15, Targeted hello hold time: 45 Label withdraw delay: 60, Make before break timeout: 30 Make before break switchover delay: 3 Link protection timeout: 120 Graceful restart: Restart: disabled, Helper: enabled, Restart in process: false Reconnect time: 60000, Max neighbor reconnect time: 120000 Recovery time: 160000, Max neighbor recovery time: 240000 Traffic Engineering: Bgp igp: disabled Both ribs: disabled Mpls forwarding: disabled IGP: Tracking igp metric: disabled Sync session up delay: 10 Session protection: Session protection: disabled Session protection timeout: 0 Interface addresses advertising: 10.1.2.2 LDP Job: Read job time quantum: 1000, Write job time quantum: 1000 Read job loop quantum: 100, Write job loop quantum: 100 Backup inbound read job time quantum: 1000, Backup outbound read job time quantum: 1000 Backup inbound read job loop quantum: 100, Backup outbound read job loop quantum: 100 Label allocation: Current number of LDP labels allocated: 1 Total number of LDP labels allocated: 1 Total number of LDP labels freed: 0 Total number of LDP label allocation failure: 0 Current number of labels allocated by all protocols: 0 '''} golden_parsed_output_3 = { 'ldp-overview-information': { 'ldp-overview': { 'ldp-auto-targeted-session': { 'ldp-auto-targeted-dyn-tun-ses-count': 0, 'ldp-auto-targeted-session-enabled': 'disabled' }, 'ldp-bgp-export': 'enabled', 'ldp-configuration-sequence': 1, 'ldp-deaggregate': 'disabled', 'ldp-explicit-null': 'disabled', 'ldp-gr-overview': { 'ldp-gr-helper': 'enabled', 'ldp-gr-max-neighbor-reconnect-time': 120000, 'ldp-gr-max-neighbor-recovery-time': 240000, 'ldp-gr-reconnect-time': 60000, 'ldp-gr-recovery-time': 160000, 'ldp-gr-restart': 'disabled', 'ldp-gr-restarting': 'false' }, 'ldp-igp-overview': { 'ldp-igp-sync-session-up-delay': 10, 'ldp-tracking-igp-metric': 'disabled' }, 'ldp-inet': 'enabled', 'ldp-instance-capability': { 'ldp-capability': 'none' }, 'ldp-instance-egress-fec-capability': { 'ldp-egress-fec-capability': 'entropy-label-capability' }, 'ldp-instance-name': 'master', 'ldp-interface-address': { 'interface-address': '10.1.2.2' }, 'ldp-ipv6-tunneling': 'disabled', 'ldp-job-overview': { 'ldp-inbound-read-job-loop-quantum': 100, 'ldp-inbound-read-job-time-quantum': 1000, 'ldp-outbound-read-job-loop-quantum': 100, 'ldp-outbound-read-job-time-quantum': 1000, 'ldp-read-job-loop-quantum': 100, 'ldp-read-job-time-quantum': 1000, 'ldp-write-job-loop-quantum': 100, 'ldp-write-job-time-quantum': 1000 }, 'ldp-label-allocation': { 'ldp-global-label-current-allocs': 0, 'ldp-label-alloc-failure': 0, 'ldp-label-current-allocs': 1, 'ldp-label-total-allocs': 1, 'ldp-label-total-frees': 0 }, 'ldp-loopback-if-added': 'no', 'ldp-message-id': 4, 'ldp-mtu-discovery': 'disabled', 'ldp-p2mp': { 'ldp-p2mp-no-rsvp-tunneling-enabled': 'disabled', 'ldp-p2mp-recursive-route-enabled': 'disabled' }, 'ldp-p2mp-transit-lsp-chaining': 'disabled', 'ldp-reference-count': 2, 'ldp-route-acknowledgement': 'enabled', 'ldp-route-preference': 9, 'ldp-router-id': '10.204.14.100', 'ldp-session-count': { 'ldp-control-mode': 'ordered', 'ldp-retention-mode': 'liberal', 'ldp-session-operational': 1 }, 'ldp-session-protect-overview': { 'ldp-session-protect': 'disabled', 'ldp-session-protect-timeout': 0 }, 'ldp-sr-mapping-client': 'disabled', 'ldp-strict-targeted-hellos': 'disabled', 'ldp-te-overview': { 'ldp-te-bgp-igp': 'disabled', 'ldp-te-both-ribs': 'disabled', 'ldp-te-mpls-forwarding': 'disabled' }, 'ldp-timer-overview': { 'ldp-instance-keepalive-interval': 10, 'ldp-instance-keepalive-timeout': 30, 'ldp-instance-label-withdraw-delay': 60, 'ldp-instance-link-hello-hold-time': 15, 'ldp-instance-link-hello-interval': 5, 'ldp-instance-link-protection-timeout': 120, 'ldp-instance-make-before-break-switchover-delay': 3, 'ldp-instance-make-before-break-timeout': 30, 'ldp-instance-targeted-hello-hold-time': 45, 'ldp-instance-targeted-hello-interval': 15 }, 'ldp-transit-lsp-route-stats': 'disabled', 'ldp-transport-preference': 'IPv4', 'ldp-unicast-transit-lsp-chaining': 'disabled' } } } golden_output_4 = {'execute.return_value': ''' show ldp overview Instance: master Reference count: 2 Router ID: 10.204.14.100 LDP inet: enabled Transport preference: IPv4 Message id: 4 Configuration sequence: 1 Deaggregate: disabled Explicit null: disabled IPv6 tunneling: disabled Strict targeted hellos: disabled Loopback if added: no Route preference: 9 Unicast transit LSP chaining: disabled P2MP transit LSP chaining: disabled Transit LSP statistics based on route statistics: disabled LDP route acknowledgement: enabled BGP export: enabled LDP mtu discovery: disabled LDP SR Mapping Client: disabled Capabilities enabled: none Egress FEC capabilities enabled: entropy-label-capability Downstream unsolicited Sessions: Nonexistent: 1 Retention: liberal Control: ordered Auto targeted sessions: Auto targeted: disabled Dynamic tunnel session count: 0 P2MP: Recursive route: disabled No rsvp tunneling: disabled Timers: Keepalive interval: 10, Keepalive timeout: 30 Link hello interval: 5, Link hello hold time: 15 Targeted hello interval: 15, Targeted hello hold time: 45 Label withdraw delay: 60, Make before break timeout: 30 Make before break switchover delay: 3 Link protection timeout: 120 Graceful restart: Restart: disabled, Helper: enabled, Restart in process: false Reconnect time: 60000, Max neighbor reconnect time: 120000 Recovery time: 160000, Max neighbor recovery time: 240000 Traffic Engineering: Bgp igp: disabled Both ribs: disabled Mpls forwarding: disabled IGP: Tracking igp metric: disabled Sync session up delay: 10 Session protection: Session protection: disabled Session protection timeout: 0 Interface addresses advertising: 10.1.2.2 LDP Job: Read job time quantum: 1000, Write job time quantum: 1000 Read job loop quantum: 100, Write job loop quantum: 100 Backup inbound read job time quantum: 1000, Backup outbound read job time quantum: 1000 Backup inbound read job loop quantum: 100, Backup outbound read job loop quantum: 100 Label allocation: Current number of LDP labels allocated: 0 Total number of LDP labels allocated: 0 Total number of LDP labels freed: 0 Total number of LDP label allocation failure: 0 Current number of labels allocated by all protocols: 0 '''} golden_parsed_output_4 = { 'ldp-overview-information': { 'ldp-overview': { 'ldp-auto-targeted-session': { 'ldp-auto-targeted-dyn-tun-ses-count': 0, 'ldp-auto-targeted-session-enabled': 'disabled' }, 'ldp-bgp-export': 'enabled', 'ldp-configuration-sequence': 1, 'ldp-deaggregate': 'disabled', 'ldp-explicit-null': 'disabled', 'ldp-gr-overview': { 'ldp-gr-helper': 'enabled', 'ldp-gr-max-neighbor-reconnect-time': 120000, 'ldp-gr-max-neighbor-recovery-time': 240000, 'ldp-gr-reconnect-time': 60000, 'ldp-gr-recovery-time': 160000, 'ldp-gr-restart': 'disabled', 'ldp-gr-restarting': 'false' }, 'ldp-igp-overview': { 'ldp-igp-sync-session-up-delay': 10, 'ldp-tracking-igp-metric': 'disabled' }, 'ldp-inet': 'enabled', 'ldp-instance-capability': { 'ldp-capability': 'none' }, 'ldp-instance-egress-fec-capability': { 'ldp-egress-fec-capability': 'entropy-label-capability' }, 'ldp-instance-name': 'master', 'ldp-interface-address': { 'interface-address': '10.1.2.2' }, 'ldp-ipv6-tunneling': 'disabled', 'ldp-job-overview': { 'ldp-inbound-read-job-loop-quantum': 100, 'ldp-inbound-read-job-time-quantum': 1000, 'ldp-outbound-read-job-loop-quantum': 100, 'ldp-outbound-read-job-time-quantum': 1000, 'ldp-read-job-loop-quantum': 100, 'ldp-read-job-time-quantum': 1000, 'ldp-write-job-loop-quantum': 100, 'ldp-write-job-time-quantum': 1000 }, 'ldp-label-allocation': { 'ldp-global-label-current-allocs': 0, 'ldp-label-alloc-failure': 0, 'ldp-label-current-allocs': 0, 'ldp-label-total-allocs': 0, 'ldp-label-total-frees': 0 }, 'ldp-loopback-if-added': 'no', 'ldp-message-id': 4, 'ldp-mtu-discovery': 'disabled', 'ldp-p2mp': { 'ldp-p2mp-no-rsvp-tunneling-enabled': 'disabled', 'ldp-p2mp-recursive-route-enabled': 'disabled' }, 'ldp-p2mp-transit-lsp-chaining': 'disabled', 'ldp-reference-count': 2, 'ldp-route-acknowledgement': 'enabled', 'ldp-route-preference': 9, 'ldp-router-id': '10.204.14.100', 'ldp-session-count': { 'ldp-control-mode': 'ordered', 'ldp-retention-mode': 'liberal', 'ldp-session-nonexistent': 1 }, 'ldp-session-protect-overview': { 'ldp-session-protect': 'disabled', 'ldp-session-protect-timeout': 0 }, 'ldp-sr-mapping-client': 'disabled', 'ldp-strict-targeted-hellos': 'disabled', 'ldp-te-overview': { 'ldp-te-bgp-igp': 'disabled', 'ldp-te-both-ribs': 'disabled', 'ldp-te-mpls-forwarding': 'disabled' }, 'ldp-timer-overview': { 'ldp-instance-keepalive-interval': 10, 'ldp-instance-keepalive-timeout': 30, 'ldp-instance-label-withdraw-delay': 60, 'ldp-instance-link-hello-hold-time': 15, 'ldp-instance-link-hello-interval': 5, 'ldp-instance-link-protection-timeout': 120, 'ldp-instance-make-before-break-switchover-delay': 3, 'ldp-instance-make-before-break-timeout': 30, 'ldp-instance-targeted-hello-hold-time': 45, 'ldp-instance-targeted-hello-interval': 15 }, 'ldp-transit-lsp-route-stats': 'disabled', 'ldp-transport-preference': 'IPv4', 'ldp-unicast-transit-lsp-chaining': 'disabled' } } } golden_output_5 = {'execute.return_value': ''' show ldp overview Instance: master Router ID: 10.204.1.100 Message id: 4 Configuration sequence: 1 Deaggregate: disabled Explicit null: disabled IPv6 tunneling: disabled Strict targeted hellos: disabled Loopback if added: no Route preference: 9 Unicast transit LSP chaining: disabled P2MP transit LSP chaining: disabled Transit LSP statistics based on route statistics: disabled Capabilities enabled: none Protocol modes: Distribution: unsolicited Retention: liberal Control: ordered Sessions: Connecting: 1 Timers: Keepalive interval: 10, Keepalive timeout: 30 Link hello interval: 5, Link hello hold time: 15 Targeted hello interval: 15, Targeted hello hold time: 45 Label withdraw delay: 60 Graceful restart: Restart: enabled, Helper: enabled, Restart in process: false Reconnect time: 60000, Max neighbor reconnect time: 120000 Recovery time: 160000, Max neighbor recovery time: 240000 Traffic Engineering: Bgp igp: disabled Both ribs: disabled Mpls forwarding: disabled IGP: Tracking igp metric: disabled Sync session up delay: 10 Session protection: Session protection: disabled Session protecton timeout: 0 Interface addresses advertising: 10.1.2.2 '''} golden_parsed_output_5 = { 'ldp-overview-information': { 'ldp-overview': { 'ldp-configuration-sequence': 1, 'ldp-deaggregate': 'disabled', 'ldp-explicit-null': 'disabled', 'ldp-gr-overview': { 'ldp-gr-helper': 'enabled', 'ldp-gr-max-neighbor-reconnect-time': 120000, 'ldp-gr-max-neighbor-recovery-time': 240000, 'ldp-gr-reconnect-time': 60000, 'ldp-gr-recovery-time': 160000, 'ldp-gr-restart': 'enabled', 'ldp-gr-restarting': 'false' }, 'ldp-igp-overview': { 'ldp-igp-sync-session-up-delay': 10, 'ldp-tracking-igp-metric': 'disabled' }, 'ldp-instance-capability': { 'ldp-capability': 'none' }, 'ldp-instance-name': 'master', 'ldp-interface-address': { 'interface-address': '10.1.2.2' }, 'ldp-ipv6-tunneling': 'disabled', 'ldp-loopback-if-added': 'no', 'ldp-message-id': 4, 'ldp-p2mp-transit-lsp-chaining': 'disabled', 'ldp-protocol-modes': { 'ldp-control-mode': 'ordered', 'ldp-distribution-mode': 'unsolicited', 'ldp-retention-mode': 'liberal' }, 'ldp-route-preference': 9, 'ldp-router-id': '10.204.1.100', 'ldp-session-count': { 'ldp-session-connecting': 1 }, 'ldp-session-protect-overview': { 'ldp-session-protect': 'disabled', 'ldp-session-protect-timeout': 0 }, 'ldp-strict-targeted-hellos': 'disabled', 'ldp-te-overview': { 'ldp-te-bgp-igp': 'disabled', 'ldp-te-both-ribs': 'disabled', 'ldp-te-mpls-forwarding': 'disabled' }, 'ldp-timer-overview': { 'ldp-instance-keepalive-interval': 10, 'ldp-instance-keepalive-timeout': 30, 'ldp-instance-label-withdraw-delay': 60, 'ldp-instance-link-hello-hold-time': 15, 'ldp-instance-link-hello-interval': 5, 'ldp-instance-targeted-hello-hold-time': 45, 'ldp-instance-targeted-hello-interval': 15 }, 'ldp-transit-lsp-route-stats': 'disabled', 'ldp-unicast-transit-lsp-chaining': 'disabled' } } } golden_parsed_output_6 = { "ldp-overview-information": { "ldp-overview": { "ldp-auto-targeted-session": { "ldp-auto-targeted-dyn-tun-ses-count": 0, "ldp-auto-targeted-session-enabled": "disabled" }, "ldp-bgp-export": "enabled", "ldp-configuration-sequence": 2, "ldp-control-mode": "ordered", "ldp-deaggregate": "disabled", "ldp-explicit-null": "disabled", "ldp-gr-overview": { "ldp-gr-helper": "enabled", "ldp-gr-max-neighbor-reconnect-time": 120000, "ldp-gr-max-neighbor-recovery-time": 240000, "ldp-gr-reconnect-time": 60000, "ldp-gr-recovery-time": 160000, "ldp-gr-restart": "enabled", "ldp-gr-restarting": "false" }, "ldp-igp-overview": { "ldp-igp-sync-session-up-delay": 10, "ldp-tracking-igp-metric": "disabled" }, "ldp-inet": "enabled", "ldp-instance-capability": { "ldp-capability": "none" }, "ldp-instance-egress-fec-capability": { "ldp-egress-fec-capability": "entropy-label-capability" }, "ldp-instance-name": "master", "ldp-interface-address": { "interface-address": "10.169.14.157" }, "ldp-ipv6-tunneling": "disabled", "ldp-job-overview": { "ldp-inbound-read-job-loop-quantum": 100, "ldp-inbound-read-job-time-quantum": 1000, "ldp-outbound-read-job-loop-quantum": 100, "ldp-outbound-read-job-time-quantum": 1000, "ldp-read-job-loop-quantum": 100, "ldp-read-job-time-quantum": 1000, "ldp-write-job-loop-quantum": 100, "ldp-write-job-time-quantum": 1000 }, "ldp-label-allocation": { "ldp-global-label-current-allocs": 0, "ldp-label-alloc-failure": 0, "ldp-label-current-allocs": 3, "ldp-label-total-allocs": 7, "ldp-label-total-frees": 4 }, "ldp-loopback-if-added": "no", "ldp-message-id": 10, "ldp-mtu-discovery": "disabled", "ldp-p2mp": { "ldp-p2mp-no-rsvp-tunneling-enabled": "disabled", "ldp-p2mp-recursive-route-enabled": "disabled" }, "ldp-p2mp-transit-lsp-chaining": "disabled", "ldp-reference-count": 3, "ldp-retention-mode": "liberal", "ldp-route-acknowledgement": "enabled", "ldp-route-preference": 9, "ldp-router-id": "10.169.14.240", "ldp-session-count": { "ldp-control-mode": "ordered", "ldp-retention-mode": "liberal", "ldp-session-nonexistent": 1 }, "ldp-session-operational": 1, "ldp-session-protect-overview": { "ldp-session-protect": "disabled", "ldp-session-protect-timeout": 0 }, "ldp-sr-mapping-client": "disabled", "ldp-strict-targeted-hellos": "disabled", "ldp-te-overview": { "ldp-te-bgp-igp": "disabled", "ldp-te-both-ribs": "disabled", "ldp-te-mpls-forwarding": "disabled" }, "ldp-timer-overview": { "ldp-instance-keepalive-interval": 10, "ldp-instance-keepalive-timeout": 30, "ldp-instance-label-withdraw-delay": 60, "ldp-instance-link-hello-hold-time": 15, "ldp-instance-link-hello-interval": 5, "ldp-instance-link-protection-timeout": 120, "ldp-instance-make-before-break-switchover-delay": 3, "ldp-instance-make-before-break-timeout": 30, "ldp-instance-targeted-hello-hold-time": 45, "ldp-instance-targeted-hello-interval": 15 }, "ldp-transit-lsp-route-stats": "disabled", "ldp-transport-preference": "IPv4", "ldp-unicast-transit-lsp-chaining": "disabled" } } } golden_output_6 = {'execute.return_value': ''' show ldp overview Instance: master Reference count: 3 Router ID: 10.169.14.240 LDP inet: enabled Transport preference: IPv4 Message id: 10 Configuration sequence: 2 Deaggregate: disabled Explicit null: disabled IPv6 tunneling: disabled Strict targeted hellos: disabled Loopback if added: no Route preference: 9 Unicast transit LSP chaining: disabled P2MP transit LSP chaining: disabled Transit LSP statistics based on route statistics: disabled LDP route acknowledgement: enabled BGP export: enabled LDP mtu discovery: disabled LDP SR Mapping Client: disabled Capabilities enabled: none Egress FEC capabilities enabled: entropy-label-capability Downstream unsolicited Sessions: Nonexistent: 1 Retention: liberal Control: ordered Operational: 1 Retention: liberal Control: ordered Auto targeted sessions: Auto targeted: disabled Dynamic tunnel session count: 0 P2MP: Recursive route: disabled No rsvp tunneling: disabled Timers: Keepalive interval: 10, Keepalive timeout: 30 Link hello interval: 5, Link hello hold time: 15 Targeted hello interval: 15, Targeted hello hold time: 45 Label withdraw delay: 60, Make before break timeout: 30 Make before break switchover delay: 3 Link protection timeout: 120 Graceful restart: Restart: enabled, Helper: enabled, Restart in process: false Reconnect time: 60000, Max neighbor reconnect time: 120000 Recovery time: 160000, Max neighbor recovery time: 240000 Traffic Engineering: Bgp igp: disabled Both ribs: disabled Mpls forwarding: disabled IGP: Tracking igp metric: disabled Sync session up delay: 10 Session protection: Session protection: disabled Session protection timeout: 0 Interface addresses advertising: 10.169.14.121 10.169.14.157 LDP Job: Read job time quantum: 1000, Write job time quantum: 1000 Read job loop quantum: 100, Write job loop quantum: 100 Backup inbound read job time quantum: 1000, Backup outbound read job time quantum: 1000 Backup inbound read job loop quantum: 100, Backup outbound read job loop quantum: 100 Label allocation: Current number of LDP labels allocated: 3 Total number of LDP labels allocated: 7 Total number of LDP labels freed: 4 Total number of LDP label allocation failure: 0 Current number of labels allocated by all protocols: 0 '''} def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLDPOverview(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLDPOverview(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) def test_golden_2(self): self.device = Mock(**self.golden_output_2) obj = ShowLDPOverview(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output_2) def test_golden_3(self): self.device = Mock(**self.golden_output_3) obj = ShowLDPOverview(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output_3) def test_golden_4(self): self.device = Mock(**self.golden_output_4) obj = ShowLDPOverview(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output_4) def test_golden_5(self): self.device = Mock(**self.golden_output_5) obj = ShowLDPOverview(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output_5) def test_golden_6(self): self.device = Mock(**self.golden_output_6) obj = ShowLDPOverview(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output_6) # ================================= # Unit test for 'show ldp session {ipaddress} detail' # ================================= class TestShowLDPSessionIpaddressDetail(unittest.TestCase): '''unit test for "show ldp session {ipaddress} detail''' device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value': ''} golden_parsed_output = { "ldp-session-information": { "ldp-session": { "ldp-connection-state": "Open", "ldp-graceful-restart-local": "disabled", "ldp-graceful-restart-remote": "disabled", "ldp-holdtime": "30", "ldp-keepalive-interval": "10", "ldp-keepalive-time": "3", "ldp-local-address": "10.34.2.250", "ldp-local-helper-mode": "enabled", "ldp-local-label-adv-mode": "Downstream unsolicited", "ldp-local-maximum-reconnect": "120000", "ldp-local-maximum-recovery": "240000", "ldp-mtu-discovery": "disabled", "ldp-neg-label-adv-mode": "Downstream unsolicited", "ldp-neighbor-address": "10.169.14.240", "ldp-neighbor-count": "1", "ldp-neighbor-types": { "ldp-neighbor-type": "discovered" }, "ldp-remaining-time": "23", "ldp-remote-address": "10.169.14.240", "ldp-remote-helper-mode": "enabled", "ldp-remote-label-adv-mode": "Downstream unsolicited", "ldp-retry-interval": "1", "ldp-session-address": { "interface-address": "10.169.14.157" }, "ldp-session-capabilities-advertised": { "ldp-capability": "none" }, "ldp-session-capabilities-received": { "ldp-capability": "none" }, "ldp-session-flags": { "ldp-session-flag": "none" }, "ldp-session-id": "10.34.2.250:0--10.169.14.240:0", "ldp-session-max-pdu": "4096", "ldp-session-nsr-state": "Not in sync", "ldp-session-protection": { "ldp-session-protection-state": "disabled" }, "ldp-session-role": "Passive", "ldp-session-state": "Operational", "ldp-up-time": "00:00:47" } } } golden_output = { 'execute.return_value': ''' show ldp session 10.169.14.240 detail Address: 10.169.14.240, State: Operational, Connection: Open, Hold time: 23 Session ID: 10.34.2.250:0--10.169.14.240:0 Next keepalive in 3 seconds Passive, Maximum PDU: 4096, Hold time: 30, Neighbor count: 1 Neighbor types: discovered Keepalive interval: 10, Connect retry interval: 1 Local address: 10.34.2.250, Remote address: 10.169.14.240 Up for 00:00:47 Capabilities advertised: none Capabilities received: none Protection: disabled Session flags: none Local - Restart: disabled, Helper mode: enabled Remote - Restart: disabled, Helper mode: enabled Local maximum neighbor reconnect time: 120000 msec Local maximum neighbor recovery time: 240000 msec Local Label Advertisement mode: Downstream unsolicited Remote Label Advertisement mode: Downstream unsolicited Negotiated Label Advertisement mode: Downstream unsolicited MTU discovery: disabled Nonstop routing state: Not in sync Next-hop addresses received: 10.169.14.157 ''' } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowLdpSessionIpaddressDetail(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse(ipaddress='10.169.14.240') def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowLdpSessionIpaddressDetail(device=self.device) parsed_output = obj.parse(ipaddress='10.169.14.240') self.assertEqual(parsed_output, self.golden_parsed_output) if __name__ == '__main__': unittest.main()

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6fe91ca39969e5c100442103b74bf0563e25b2e9

1,916

py

Python

terrascript/scaleway/r.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

4

2022-02-07T21:08:14.000Z

2022-03-03T04:41:28.000Z

terrascript/scaleway/r.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

null

terrascript/scaleway/r.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

2

2022-02-06T01:49:42.000Z

2022-02-08T14:15:00.000Z

# terrascript/scaleway/r.py import terrascript class scaleway_account_ssh_key(terrascript.Resource): pass class scaleway_baremetal_server(terrascript.Resource): pass class scaleway_instance_ip(terrascript.Resource): pass class scaleway_instance_ip_reverse_dns(terrascript.Resource): pass class scaleway_instance_volume(terrascript.Resource): pass class scaleway_instance_security_group(terrascript.Resource): pass class scaleway_instance_security_group_rules(terrascript.Resource): pass class scaleway_instance_server(terrascript.Resource): pass class scaleway_instance_placement_group(terrascript.Resource): pass class scaleway_k8s_cluster_beta(terrascript.Resource): pass class scaleway_k8s_pool_beta(terrascript.Resource): pass class scaleway_lb_beta(terrascript.Resource): pass class scaleway_lb_ip_beta(terrascript.Resource): pass class scaleway_lb_backend_beta(terrascript.Resource): pass class scaleway_lb_certificate_beta(terrascript.Resource): pass class scaleway_lb_frontend_beta(terrascript.Resource): pass class scaleway_registry_namespace_beta(terrascript.Resource): pass class scaleway_rdb_instance_beta(terrascript.Resource): pass class scaleway_object_bucket(terrascript.Resource): pass class scaleway_user_data(terrascript.Resource): pass class scaleway_server(terrascript.Resource): pass class scaleway_token(terrascript.Resource): pass class scaleway_ssh_key(terrascript.Resource): pass class scaleway_ip(terrascript.Resource): pass class scaleway_ip_reverse_dns(terrascript.Resource): pass class scaleway_security_group(terrascript.Resource): pass class scaleway_security_group_rule(terrascript.Resource): pass class scaleway_volume(terrascript.Resource): pass class scaleway_volume_attachment(terrascript.Resource): pass

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1

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8

82f96bf00a0e6f16dfdd3f6ac7fa4c0016bc0ddc

4,671

py

Python

temas/IV.optimizacion_convexa_y_machine_learning/algoritmos/Python/line_search.py

123972/analisis-numerico-computo-cientifico

9ad310579d6376a85ad83862605aa48e5fcdc88c

[ "Apache-2.0" ]

null

temas/IV.optimizacion_convexa_y_machine_learning/algoritmos/Python/line_search.py

123972/analisis-numerico-computo-cientifico

9ad310579d6376a85ad83862605aa48e5fcdc88c

[ "Apache-2.0" ]

null

temas/IV.optimizacion_convexa_y_machine_learning/algoritmos/Python/line_search.py

123972/analisis-numerico-computo-cientifico

9ad310579d6376a85ad83862605aa48e5fcdc88c

[ "Apache-2.0" ]

null

from utils import norm_residual, logarithmic_barrier def line_search_by_backtracking(f,dir_desc,x, der_direct, alpha=.15, beta=.5): ''' Line search that sufficiently decreases f restricted to a ray in the direction dir_desc. Args: alpha (float): parameter in line search with backtracking, tipically .15 beta (float): parameter in line search with backtracking, tipically .5 f (lambda expression): definition of function f. dir_desc (array): descent direction. x (array): numpy array that holds values where line search will be performed. der_direct (float): directional derivative of f. Returns: t (float): positive number for stepsize along dir_desc that sufficiently decreases f. ''' t=1 if alpha > 1/2: print('alpha must be less than or equal to 1/2') t=-1 if beta>1: print('beta must be less than 1') t=-1; if t!=-1: eval1 = f(x+t*dir_desc) eval2 = f(x) + alpha*t*der_direct while eval1 > eval2: t=beta*t eval1=f(x+t*dir_desc) eval2=f(x)+alpha*t*der_direct return t def line_search_for_residual_by_backtracking(r_primal, r_dual,dir_desc_primal,dir_desc_dual,x, nu, norm_residual_eval, alpha=.15, beta=.5): ''' Line search that sufficiently decreases residual for Newtons infeasible initial point method restricted to a ray in the direction dir_desc. Args: r_primal (fun): definition of primal residual as function definition or lambda expression. r_dual (fun): definition of dual residual as function definition or lambda expression. dir_desc_primal (array): descent direction for primal variable. dir_desc_dual (array): descent direction for dual variable. x (array): numpy array that holds values where line search will be performed. nu (array): numpy array that holds values where line search will be performed. norm_residual_eval (float): norm of residual that has both r_primal and r_dual evaluations in x and nu alpha (float): parameter in line search with backtracking, tipically .15 beta (float): parameter in line search with backtracking, tipically .5 Returns: t (float): positive number for stepsize along dir_desc that sufficiently decreases f. ''' t=1 if alpha > 1/2: print('alpha must be less than or equal to 1/2') t=-1 if beta>1: print('beta must be less than 1') t=-1; if t!=-1: feas_primal = r_primal(x + t*dir_desc_primal) feas_dual = r_dual(nu + t*dir_desc_dual ) eval1 = norm_residual(feas_primal, feas_dual) eval2 = (1-alpha*t)*norm_residual_eval while eval1 > eval2: t=beta*t feas_primal = r_primal(x + t*dir_desc_primal) feas_dual = r_dual(nu + t*dir_desc_dual ) eval1 = norm_residual(feas_primal, feas_dual) eval2 = (1-alpha*t)*norm_residual_eval return t def line_search_for_log_barrier_by_backtracking(f,dir_desc,x,t_path, constraint_inequalities, der_direct, alpha=.15, beta=.5): ''' Line search that sufficiently decreases f restricted to a ray in the direction dir_desc. Args: alpha (float): parameter in line search with backtracking, tipically .15 beta (float): parameter in line search with backtracking, tipically .5 f (lambda expression): definition of function f. dir_desc (array): descent direction. x (array): numpy array that holds values where line search will be performed. der_direct (float): directional derivative of f. Returns: t (float): positive number for stepsize along dir_desc that sufficiently decreases f. ''' t=1 if alpha > 1/2: print('alpha must be less than or equal to 1/2') t=-1 if beta>1: print('beta must be less than 1') t=-1; if t!=-1: eval1 = logarithmic_barrier(f,x + t*dir_desc, t_path,constraint_inequalities) eval2 = logarithmic_barrier(f,x, t_path,constraint_inequalities) + alpha*t*der_direct while eval1 > eval2: t=beta*t eval1=logarithmic_barrier(f,x + t*dir_desc, t_path,constraint_inequalities) eval2=logarithmic_barrier(f,x, t_path,constraint_inequalities) + alpha*t*der_direct return t

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d217461745e9c2dab591b71af01dd3a18f395bcd

5,613

py

Python

presets.py

pirakd/DeepProp

e43f6e12220da38a3bda51918bd75bb7c48dec31

[ "MIT" ]

null

presets.py

pirakd/DeepProp

e43f6e12220da38a3bda51918bd75bb7c48dec31

[ "MIT" ]

null

presets.py

pirakd/DeepProp

e43f6e12220da38a3bda51918bd75bb7c48dec31

[ "MIT" ]

null

experiments_20 = { 'data': {'n_experiments': 20, 'max_set_size': 500, 'network_filename': 'H_sapiens.net', #'S_cerevisiae.net' 'directed_interactions_filename': 'KPI_dataset', 'sources_filename': 'drug_targets.txt', 'terminals_filename': 'drug_expressions.txt', 'load_prop_scores': False, 'save_prop_scores': False, 'balance_dataset': True, 'prop_scores_filename': 'balanced_kpi_prop_scores', 'random_seed': 0, 'normalization_method': 'power', # Standard, Power 'split_type': 'normal'}, # 'regular'/harsh 'propagation': {'alpha': 0.8, 'eps': 1e-6, 'n_iterations': 200}, 'model': {'feature_extractor_layers': [64, 32], 'classifier_layers': [64, 32], 'pulling_func': 'mean', 'exp_emb_size': 4, 'feature_extractor_dropout': 0, 'classifier_dropout': 0, 'pair_degree_feature': 0 }, 'train': {'intermediate_loss_weight': 0, 'intermediate_loss_type': 'BCE', 'focal_gamma': 1, 'train_val_test_split': [0.66, 0.14, 0.2], # sum([train, val, test])=1 'train_batch_size': 32, 'test_batch_size': 32, 'n_epochs': 1000, 'eval_interval': 3, 'learning_rate': 1e-3, 'max_evals_no_imp': 3, 'optimizer' : 'ADAMW' # ADAM/WADAM }} experiments_50 = { 'data': {'n_experiments': 50, 'max_set_size': 500, 'network_filename': 'H_sapiens.net', 'directed_interactions_filename': 'KPI_dataset', 'sources_filename': 'drug_targets.txt', 'terminals_filename': 'drug_expressions.txt', 'load_prop_scores': True, 'save_prop_scores': False, 'prop_scores_filename': 'balanced_kpi_prop_scores', 'random_seed': 0, 'normalization_method': 'standard' }, 'propagation': {'alpha': 0.8, 'eps': 1e-6, 'n_iterations': 200}, 'model': {'feature_extractor_layers': [128, 64], 'classifier_layers': [128, 64], 'pulling_func': 'mean', 'exp_emb_size': 12, 'feature_extractor_dropout': 0, 'classifier_dropout': 0, 'pair_degree_feature': 0 }, 'train': {'intermediate_loss_weight': 0.5, 'intermediate_loss_type': 'BCE', 'focal_gamma': 1, 'train_val_test_split': [0.66, 0.14, 0.2], # sum([train, val, test])=1 'train_batch_size': 32, 'test_batch_size': 32, 'n_epochs': 4, 'eval_interval': 2, 'learning_rate': 5e-4, 'max_evals_no_imp': 3, 'optimizer' : 'ADAMW' # ADAM/WADAM }} experiments_0 = { 'data': {'n_experiments': 0, 'max_set_size': 500, 'network_filename': 'H_sapiens.net', 'directed_interactions_filename': ['KPI'], 'sources_filename': 'drug_targets.txt', 'terminals_filename': 'drug_expressions.txt', 'load_prop_scores': True, 'save_prop_scores': False, 'balance_dataset': True, 'prop_scores_filename': 'drug_KPI_0', 'random_seed': 0, 'normalization_method': 'power', # Standard, Power 'split_type': 'normal'}, # 'regular'/harsh 'propagation': {'alpha': 0.8, 'eps': 1e-6, 'n_iterations': 200}, 'model': {'feature_extractor_layers': [128, 64], 'classifier_layers': [64], 'pulling_func': 'mean', 'exp_emb_size': 16, 'feature_extractor_dropout': 0, 'classifier_dropout': 0, 'pair_degree_feature': 0, }, 'train': {'intermediate_loss_weight': 0.5, 'intermediate_loss_type': 'BCE', 'focal_gamma': 1, 'train_val_test_split': [0.66, 0.14, 0.2], # sum([train, val, test])=1 'train_batch_size': 4, 'test_batch_size': 32, 'n_epochs': 4, 'eval_interval': 2, 'learning_rate': 1e-3, 'max_evals_no_imp': 3, 'optimizer': 'ADAMW' # ADAM/WADAM }} experiments_all_datasets = { 'data': {'n_experiments': 0, 'max_set_size': 500, 'network_filename': 'H_sapiens.net', 'directed_interactions_filename': ['KPI', 'STKE', 'EGFR', 'E3','PDI'], 'sources_filename': 'drug_targets.txt', 'terminals_filename': 'drug_expressions.txt', 'load_prop_scores': True, 'save_prop_scores': False, 'balance_dataset': True, 'prop_scores_filename': 'balanced_KPI_STKE_EGFR_E3', 'random_seed': 0, 'normalization_method': 'power', # Standard, Power 'split_type': 'normal'}, # 'regular'/harsh 'propagation': {'alpha': 0.8, 'eps': 1e-6, 'n_iterations': 200}, 'model': {'feature_extractor_layers': [64, 32, 16], 'classifier_layers': [32, 16], 'pulling_func': 'mean', 'exp_emb_size': 12, 'feature_extractor_dropout': 0, 'classifier_dropout': 0, 'pair_degree_feature': 0, }, 'train': {'intermediate_loss_weight': 0.95, 'intermediate_loss_type': 'BCE', 'focal_gamma': 1, 'train_val_test_split': [0.66, 0.14, 0.2], # sum([train, val, test])=1 'train_batch_size': 8, 'test_batch_size': 8, 'n_epochs': 2000, 'eval_interval': 2, 'learning_rate': 1e-3, 'max_evals_no_imp': 15, }}

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Python

wavefront_api_client/api/user_api.py

PowerOlive/python-client

eebda67381fcf893914c309103878236b609a70b

[ "Apache-2.0" ]

11

2016-05-30T17:16:45.000Z

2021-06-11T19:32:59.000Z

wavefront_api_client/api/user_api.py

PowerOlive/python-client

eebda67381fcf893914c309103878236b609a70b

[ "Apache-2.0" ]

25

2016-05-02T23:05:19.000Z

2020-11-18T22:43:20.000Z

wavefront_api_client/api/user_api.py

PowerOlive/python-client

eebda67381fcf893914c309103878236b609a70b

[ "Apache-2.0" ]

30

2016-04-29T17:17:11.000Z

2022-02-11T04:58:37.000Z

# coding: utf-8 """ Wavefront REST API The Wavefront REST API enables you to interact with Wavefront servers using standard REST API tools. You can use the REST API to automate commonly executed operations such as automatically tagging sources.When you make REST API calls outside the Wavefront REST API documentation you must add the header \"Authorization: Bearer <<API-TOKEN>>\" to your HTTP requests. # noqa: E501 OpenAPI spec version: v2 Contact: chitimba@wavefront.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from wavefront_api_client.api_client import ApiClient class UserApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def add_user_to_user_groups(self, id, **kwargs): # noqa: E501 """Adds specific groups to the user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_user_to_user_groups(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param list[str] body: The list of groups that should be added to the account :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.add_user_to_user_groups_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.add_user_to_user_groups_with_http_info(id, **kwargs) # noqa: E501 return data def add_user_to_user_groups_with_http_info(self, id, **kwargs): # noqa: E501 """Adds specific groups to the user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_user_to_user_groups_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param list[str] body: The list of groups that should be added to the account :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method add_user_to_user_groups" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `add_user_to_user_groups`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}/addUserGroups', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_user(self, **kwargs): # noqa: E501 """Creates an user if the user doesn't already exist. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_user(async_req=True) >>> result = thread.get() :param async_req bool :param bool send_email: Whether to send email notification to the user, if created. Default: false :param UserToCreate body: Example Body: <pre>{ \"emailAddress\": \"user@example.com\", \"groups\": [ \"user_management\" ], \"userGroups\": [ \"8b23136b-ecd2-4cb5-8c92-62477dcc4090\" ], \"ingestionPolicyId\": \"ingestionPolicyId\", \"roles\": [ \"Role\" ] }</pre> :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_user_with_http_info(**kwargs) # noqa: E501 else: (data) = self.create_user_with_http_info(**kwargs) # noqa: E501 return data def create_user_with_http_info(self, **kwargs): # noqa: E501 """Creates an user if the user doesn't already exist. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_user_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool send_email: Whether to send email notification to the user, if created. Default: false :param UserToCreate body: Example Body: <pre>{ \"emailAddress\": \"user@example.com\", \"groups\": [ \"user_management\" ], \"userGroups\": [ \"8b23136b-ecd2-4cb5-8c92-62477dcc4090\" ], \"ingestionPolicyId\": \"ingestionPolicyId\", \"roles\": [ \"Role\" ] }</pre> :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['send_email', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_user" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'send_email' in params: query_params.append(('sendEmail', params['send_email'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_multiple_users(self, **kwargs): # noqa: E501 """Deletes multiple users or service accounts # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_multiple_users(async_req=True) >>> result = thread.get() :param async_req bool :param list[str] body: identifiers of list of users which should be deleted :return: ResponseContainerListString If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_multiple_users_with_http_info(**kwargs) # noqa: E501 else: (data) = self.delete_multiple_users_with_http_info(**kwargs) # noqa: E501 return data def delete_multiple_users_with_http_info(self, **kwargs): # noqa: E501 """Deletes multiple users or service accounts # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_multiple_users_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param list[str] body: identifiers of list of users which should be deleted :return: ResponseContainerListString If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_multiple_users" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/deleteUsers', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResponseContainerListString', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_user(self, id, **kwargs): # noqa: E501 """Deletes a user or service account identified by id # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_user(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_user_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.delete_user_with_http_info(id, **kwargs) # noqa: E501 return data def delete_user_with_http_info(self, id, **kwargs): # noqa: E501 """Deletes a user or service account identified by id # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_user_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_user" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `delete_user`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_all_users(self, **kwargs): # noqa: E501 """Get all users # noqa: E501 Returns all users # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_users(async_req=True) >>> result = thread.get() :param async_req bool :return: list[UserModel] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_all_users_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_all_users_with_http_info(**kwargs) # noqa: E501 return data def get_all_users_with_http_info(self, **kwargs): # noqa: E501 """Get all users # noqa: E501 Returns all users # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_users_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[UserModel] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_all_users" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[UserModel]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_user(self, id, **kwargs): # noqa: E501 """Retrieves a user by identifier (email address) # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_user_with_http_info(id, **kwargs) # noqa: E501 return data def get_user_with_http_info(self, id, **kwargs): # noqa: E501 """Retrieves a user by identifier (email address) # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_user" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `get_user`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_user_business_functions(self, id, **kwargs): # noqa: E501 """Returns business functions of a specific user or service account. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_business_functions(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_business_functions_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_user_business_functions_with_http_info(id, **kwargs) # noqa: E501 return data def get_user_business_functions_with_http_info(self, id, **kwargs): # noqa: E501 """Returns business functions of a specific user or service account. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_business_functions_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_user_business_functions" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `get_user_business_functions`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}/businessFunctions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def grant_permission_to_users(self, permission, **kwargs): # noqa: E501 """Grants a specific permission to multiple users or service accounts # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.grant_permission_to_users(permission, async_req=True) >>> result = thread.get() :param async_req bool :param str permission: Permission to grant to the users. Please note that 'host_tag_management' is the equivalent of the 'Source Tag Management' permission (required) :param list[str] body: List of users which should be granted by specified permission :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.grant_permission_to_users_with_http_info(permission, **kwargs) # noqa: E501 else: (data) = self.grant_permission_to_users_with_http_info(permission, **kwargs) # noqa: E501 return data def grant_permission_to_users_with_http_info(self, permission, **kwargs): # noqa: E501 """Grants a specific permission to multiple users or service accounts # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.grant_permission_to_users_with_http_info(permission, async_req=True) >>> result = thread.get() :param async_req bool :param str permission: Permission to grant to the users. Please note that 'host_tag_management' is the equivalent of the 'Source Tag Management' permission (required) :param list[str] body: List of users which should be granted by specified permission :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['permission', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method grant_permission_to_users" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'permission' is set if self.api_client.client_side_validation and ('permission' not in params or params['permission'] is None): # noqa: E501 raise ValueError("Missing the required parameter `permission` when calling `grant_permission_to_users`") # noqa: E501 collection_formats = {} path_params = {} if 'permission' in params: path_params['permission'] = params['permission'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/grant/{permission}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def grant_user_permission(self, id, **kwargs): # noqa: E501 """Grants a specific permission to user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.grant_user_permission(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param str group: Permission group to grant to the account. Please note that 'host_tag_management' is the equivalent of the 'Source Tag Management' permission :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.grant_user_permission_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.grant_user_permission_with_http_info(id, **kwargs) # noqa: E501 return data def grant_user_permission_with_http_info(self, id, **kwargs): # noqa: E501 """Grants a specific permission to user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.grant_user_permission_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param str group: Permission group to grant to the account. Please note that 'host_tag_management' is the equivalent of the 'Source Tag Management' permission :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'group'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method grant_user_permission" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `grant_user_permission`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} if 'group' in params: form_params.append(('group', params['group'])) # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}/grant', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def invite_users(self, **kwargs): # noqa: E501 """Invite users with given user groups and permissions. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.invite_users(async_req=True) >>> result = thread.get() :param async_req bool :param list[UserToCreate] body: Example Body: <pre>[ { \"emailAddress\": \"user@example.com\", \"groups\": [ \"user_management\" ], \"userGroups\": [ \"8b23136b-ecd2-4cb5-8c92-62477dcc4090\" ], \"ingestionPolicyId\": \"ingestionPolicyId\", \"roles\": [ \"Role\" ] } ]</pre> :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.invite_users_with_http_info(**kwargs) # noqa: E501 else: (data) = self.invite_users_with_http_info(**kwargs) # noqa: E501 return data def invite_users_with_http_info(self, **kwargs): # noqa: E501 """Invite users with given user groups and permissions. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.invite_users_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param list[UserToCreate] body: Example Body: <pre>[ { \"emailAddress\": \"user@example.com\", \"groups\": [ \"user_management\" ], \"userGroups\": [ \"8b23136b-ecd2-4cb5-8c92-62477dcc4090\" ], \"ingestionPolicyId\": \"ingestionPolicyId\", \"roles\": [ \"Role\" ] } ]</pre> :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method invite_users" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/invite', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def remove_user_from_user_groups(self, id, **kwargs): # noqa: E501 """Removes specific groups from the user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.remove_user_from_user_groups(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param list[str] body: The list of groups that should be removed from the account :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.remove_user_from_user_groups_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.remove_user_from_user_groups_with_http_info(id, **kwargs) # noqa: E501 return data def remove_user_from_user_groups_with_http_info(self, id, **kwargs): # noqa: E501 """Removes specific groups from the user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.remove_user_from_user_groups_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param list[str] body: The list of groups that should be removed from the account :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method remove_user_from_user_groups" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `remove_user_from_user_groups`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}/removeUserGroups', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def revoke_permission_from_users(self, permission, **kwargs): # noqa: E501 """Revokes a specific permission from multiple users or service accounts # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.revoke_permission_from_users(permission, async_req=True) >>> result = thread.get() :param async_req bool :param str permission: Permission to revoke from the accounts. Please note that 'host_tag_management' is the equivalent of the 'Source Tag Management' permission (required) :param list[str] body: List of users or service accounts which should be revoked by specified permission :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.revoke_permission_from_users_with_http_info(permission, **kwargs) # noqa: E501 else: (data) = self.revoke_permission_from_users_with_http_info(permission, **kwargs) # noqa: E501 return data def revoke_permission_from_users_with_http_info(self, permission, **kwargs): # noqa: E501 """Revokes a specific permission from multiple users or service accounts # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.revoke_permission_from_users_with_http_info(permission, async_req=True) >>> result = thread.get() :param async_req bool :param str permission: Permission to revoke from the accounts. Please note that 'host_tag_management' is the equivalent of the 'Source Tag Management' permission (required) :param list[str] body: List of users or service accounts which should be revoked by specified permission :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['permission', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method revoke_permission_from_users" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'permission' is set if self.api_client.client_side_validation and ('permission' not in params or params['permission'] is None): # noqa: E501 raise ValueError("Missing the required parameter `permission` when calling `revoke_permission_from_users`") # noqa: E501 collection_formats = {} path_params = {} if 'permission' in params: path_params['permission'] = params['permission'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/revoke/{permission}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def revoke_user_permission(self, id, **kwargs): # noqa: E501 """Revokes a specific permission from user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.revoke_user_permission(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param str group: :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.revoke_user_permission_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.revoke_user_permission_with_http_info(id, **kwargs) # noqa: E501 return data def revoke_user_permission_with_http_info(self, id, **kwargs): # noqa: E501 """Revokes a specific permission from user or service account # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.revoke_user_permission_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param str group: :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'group'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method revoke_user_permission" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `revoke_user_permission`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} if 'group' in params: form_params.append(('group', params['group'])) # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}/revoke', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_user(self, id, **kwargs): # noqa: E501 """Update user with given user groups, permissions and ingestion policy. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_user(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param UserRequestDTO body: Example Body: <pre>{ \"identifier\": \"user@example.com\", \"groups\": [ \"user_management\" ], \"userGroups\": [ \"8b23136b-ecd2-4cb5-8c92-62477dcc4090\" ], \"ingestionPolicyId\": \"ingestionPolicyId\", \"roles\": [ \"Role\" ] }</pre> :return: UserModel If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_user_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.update_user_with_http_info(id, **kwargs) # noqa: E501 return data def update_user_with_http_info(self, id, **kwargs): # noqa: E501 """Update user with given user groups, permissions and ingestion policy. # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_user_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: (required) :param UserRequestDTO body: Example Body: <pre>{ \"identifier\": \"user@example.com\", \"groups\": [ \"user_management\" ], \"userGroups\": [ \"8b23136b-ecd2-4cb5-8c92-62477dcc4090\" ], \"ingestionPolicyId\": \"ingestionPolicyId\", \"roles\": [ \"Role\" ] }</pre> :return: UserModel If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_user" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `update_user`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserModel', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def validate_users(self, **kwargs): # noqa: E501 """Returns valid users and service accounts, also invalid identifiers from the given list # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.validate_users(async_req=True) >>> result = thread.get() :param async_req bool :param list[str] body: :return: ResponseContainerValidatedUsersDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.validate_users_with_http_info(**kwargs) # noqa: E501 else: (data) = self.validate_users_with_http_info(**kwargs) # noqa: E501 return data def validate_users_with_http_info(self, **kwargs): # noqa: E501 """Returns valid users and service accounts, also invalid identifiers from the given list # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.validate_users_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param list[str] body: :return: ResponseContainerValidatedUsersDTO If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method validate_users" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/api/v2/user/validateUsers', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResponseContainerValidatedUsersDTO', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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409

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0.306359

60,713

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null

0

1

0

1

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null

0

7

d26d9c4a809fe7cebec535a3000886981482ce5a

3,041

py

Python

src/quicksort.py

endere/Data-structures

2eb522406c348b6ca26c47f8790b77088cc8cae5

[ "MIT" ]

1

2017-06-19T22:35:34.000Z

src/quicksort.py

endere/Data-structures

2eb522406c348b6ca26c47f8790b77088cc8cae5

[ "MIT" ]

1

2017-07-13T00:53:06.000Z

src/quicksort.py

endere/Data-structures-2nd-half

2eb522406c348b6ca26c47f8790b77088cc8cae5

[ "MIT" ]

null

"""Quick Sort Data Structure.""" def quick_sort(array): """.""" if len(array) == 1: if not isinstance(array[0], int): raise TypeError('Must be an integer, please try again.') return array if len(array) == 0: return array pivot_point = array[0] stored_index = 0 for i in range(len(array)): if not isinstance(array[i], int): raise TypeError('Must be an integer, please try again.') if pivot_point > array[i]: stored_index += 1 array[stored_index], array[i] = array[i], array[stored_index] array[stored_index], array[0] = array[0], array[stored_index] return quick_sort(array[:stored_index]) + [array[stored_index]] + quick_sort(array[stored_index + 1:]) if __name__ == '__main__': # pragma no cover import random import datetime from functools import reduce times = [] num_runs = 500 string_length = 5 for i in range(num_runs): data = random.sample(range(string_length), string_length) timeA = datetime.datetime.now() quick_sort(data) timeB = datetime.datetime.now() times.append(timeB - timeA) average_time = reduce(lambda x, y: x + y, times) / len(times) print(' ') print('Best Case: Shuffled') print('Number of runs: ', num_runs) print('Length of lists to sort: ', string_length) print('Average time: ', str(average_time)[-8:], 'seconds') string_length = 100 for i in range(num_runs): data = random.sample(range(string_length), string_length) timeA = datetime.datetime.now() quick_sort(data) timeB = datetime.datetime.now() times.append(timeB - timeA) average_time = reduce(lambda x, y: x + y, times) / len(times) print(' ') print('Best Case: Shuffled') print('Number of runs: ', num_runs) print('Length of lists to sort: ', string_length) print('Average time: ', str(average_time)[-8:], 'seconds') string_length = 5 for i in range(num_runs): data = [i for i in range(string_length)][::-1] timeA = datetime.datetime.now() quick_sort(data) timeB = datetime.datetime.now() times.append(timeB - timeA) average_time = reduce(lambda x, y: x + y, times) / len(times) print(' ') print('Worst Case: Reverse order') print('Number of runs: ', num_runs) print('Length of lists to sort: ', string_length) print('Average time: ', str(average_time)[-8:], 'seconds') string_length = 100 for i in range(num_runs): data = [i for i in range(string_length)][::-1] timeA = datetime.datetime.now() quick_sort(data) timeB = datetime.datetime.now() times.append(timeB - timeA) average_time = reduce(lambda x, y: x + y, times) / len(times) print(' ') print('Worst Case: Reverse order') print('Number of runs: ', num_runs) print('Length of lists to sort: ', string_length) print('Average time: ', str(average_time)[-8:], 'seconds')

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0.181373

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null

0

7

d273afb46d72bd26daa615f61ad7e7f3ef48d942

192

py

Python

riglib/hdfwriter/__init__.py

DerekYJC/bmi_python

7b9cf3f294a33688db24b0863c1035e9cc6999ea

[ "Apache-2.0" ]

null

riglib/hdfwriter/__init__.py

DerekYJC/bmi_python

7b9cf3f294a33688db24b0863c1035e9cc6999ea

[ "Apache-2.0" ]

12

2020-07-31T18:58:31.000Z

2022-02-10T14:36:00.000Z

riglib/hdfwriter/__init__.py

DerekYJC/bmi_python

7b9cf3f294a33688db24b0863c1035e9cc6999ea

[ "Apache-2.0" ]

4

2020-03-06T15:39:00.000Z

2021-05-26T17:03:21.000Z

# This is the __init__.py file if you are using the HDFWriter from # riglib, without doing its own setup. from .hdfwriter.hdfwriter import MsgTable from .hdfwriter.hdfwriter import HDFWriter

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9629bdc6dd6436a851d69554fbb7d3652b34ac09

26,472

py

Python

plotting.py

brfkorucu/Gridding-Recaptcha-Photo

8641ed44913a5cfed925fe1e4851a8310f7798db

[ "MIT" ]

2

2021-11-07T16:30:22.000Z

2022-03-11T16:44:34.000Z

plotting.py

brfkorucu/Gridding-Recaptcha-Photo

8641ed44913a5cfed925fe1e4851a8310f7798db

[ "MIT" ]

1

2022-03-11T16:54:55.000Z

2022-03-11T18:05:21.000Z

plotting.py

brfkorucu/Gridding-Recaptcha-Photo

8641ed44913a5cfed925fe1e4851a8310f7798db

[ "MIT" ]

null

################################################################################################ import cv2 import numpy as np import time import sys import os import optparse ################################################################################################ parser = optparse.OptionParser("usage%prog " + "-p <name of jpg's>") parser.add_option("-p", dest="path_name", type="str", help="specify jpg path") options, args = parser.parse_args() path_name = options.path_name if path_name == None: print(parser.usage) exit(0) ################################################################################################ CONFIDENCE = 0.2 SCORE_THRESHOLD = 0.2 IOU_THRESHOLD = 0.2 config_path = "cfg/yolov3.cfg" weights_path = "cfg/yolov3.weights" labels = open("cfg/coco.names").read().strip().split("\n") net = cv2.dnn.readNetFromDarknet(config_path, weights_path) image = cv2.imread(path_name) file_name = os.path.basename(path_name) filename, ext = file_name.split(".") h, w = image.shape[:2] blob = cv2.dnn.blobFromImage(image, 1/255.0, (416, 416), swapRB=True, crop=False) #print("image.shape:", image.shape) #print("blob.shape:", blob.shape) net.setInput(blob) ln = net.getLayerNames() ln = [ln[i[0] - 1] for i in net.getUnconnectedOutLayers()] start = time.perf_counter() layer_outputs = net.forward(ln) time_took = time.perf_counter() - start print(f"\nTime took: {time_took:.2f}s") boxes, confidences, class_ids = [], [], [] for output in layer_outputs: for detection in output: scores = detection[5:] class_id = np.argmax(scores) confidence = scores[class_id] if confidence > CONFIDENCE: box = detection[:4] * np.array([w, h, w, h]) (centerX, centerY, width, height) = box.astype("int") x = int(centerX - (width / 2)) y = int(centerY - (height / 2)) boxes.append([x, y, int(width), int(height)]) confidences.append(float(confidence)) class_ids.append(class_id) #print(detection.shape) #print("\nObjects : ", boxes) ################################################################################################ if image.shape == (450, 450, 3): print("\nİmage shape ", image.shape) def box_path_x1(x1): if x1 <= 112.5: path_x1 = "G0" return path_x1 if 112.5 < x1 <= 225: path_x1 = "G1" return path_x1 if 225 < x1 <= 337.5: path_x1 = "G2" return path_x1 if 337.5 < x1 <= 450: path_x1 = "G3" return path_x1 def box_path_x2(x2): if x2 <= 112.5: path_x2 = "G0" return path_x2 if 112.5 < x2 <= 225: path_x2 = "G1" return path_x2 if 225 < x2 <= 337.5: path_x2 = "G2" return path_x2 if 337.5 < x2 <= 450: path_x2 = "G3" return path_x2 def box_path_y1(y1): if y1 <= 112.5: path_y1 = "G0" return path_y1 if 112.5 < y1 <= 225: path_y1 = "G4" return path_y1 if 225 < y1 <= 337.5: path_y1 = "G8" return path_y1 if 337.5 < y1 <= 450: path_y1 = "G12" return path_y1 def box_path_y2(y2): if y2 <= 112.5: path_y2 = "G0" return path_y2 if 112.5 < y2 <= 225: path_y2 = "G4" return path_y2 if 225 < y2 <= 337.5: path_y2 = "G8" return path_y2 if 337.5 < y2 <= 450: path_y2 = "G12" return path_y2 def box_corner(x,y): if x == "G0" and y == "G0": path = "G0" return path if x == "G0" and y == "G4": path = "G4" return path if x == "G0" and y == "G8": path = "G8" return path if x == "G0" and y == "G12": path = "G12" return path if x == "G1" and y == "G0": path = "G1" return path if x == "G1" and y == "G4": path = "G5" return path if x == "G1" and y == "G8": path = "G9" return path if x == "G1" and y == "G12": path = "G13" return path if x == "G2" and y == "G0": path = "G2" return path if x == "G2" and y == "G4": path = "G6" return path if x == "G2" and y == "G8": path = "G10" return path if x == "G2" and y == "G12": path = "G14" return path if x == "G3" and y == "G0": path = "G3" return path if x == "G3" and y == "G4": path = "G7" return path if x == "G3" and y == "G8": path = "G11" return path if x == "G3" and y == "G12": path = "G15" return path box_bicycle = [] box_car = [] box_motorcycle = [] box_bus = [] box_boat = [] box_traffic_light = [] box_fire_hydrant = [] box_parking_meter = [] for a in range(len(boxes)): x1 = boxes[a][0] x1_box = box_path_x1(x1) x2 = boxes[a][2] + x1 x2_box = box_path_x2(x2) y1 = boxes[a][1] y1_box = box_path_y1(y1) y2 = boxes[a][3] + y1 y2_box = box_path_y2(y2) x1y1 = box_corner(x=x1_box, y=y1_box) x1y1_n = "" for n in x1y1: if n != "G": x1y1_n += n x2y1 = box_corner(x=x2_box, y=y1_box) x2y1_n = "" for n in x2y1: if n != "G": x2y1_n += n x1y2 = box_corner(x=x1_box, y=y2_box) x1y2_n = "" for n in x1y2: if n != "G": x1y2_n += n x2y2 = box_corner(x=x2_box, y=y2_box) x2y2_n = "" for n in x2y2: if n != "G": x2y2_n += n x1y1_n = int(x1y1_n) x2y1_n = int(x2y1_n) x1y2_n = int(x1y2_n) x2y2_n = int(x2y2_n) if class_ids[a] == 1: class_ids[a] = "Bicycle" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_bicycle: box_bicycle.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_bicycle: box_bicycle.append(click_box[i]) if class_ids[a] == 2: class_ids[a] = "Car" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_car: box_car.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_car: box_car.append(click_box[i]) if class_ids[a] == 3: class_ids[a] = "Motorcycle" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_motorcycle: box_motorcycle.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_motorcycle: box_motorcycle.append(click_box[i]) if class_ids[a] == 5: class_ids[a] = "Bus" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_bus: box_bus.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_bus: box_bus.append(click_box[i]) if class_ids[a] == 8: class_ids[a] = "Boat" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_boat: box_boat.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_boat: box_boat.append(click_box[i]) if class_ids[a] == 9: class_ids[a] = "Traffic Light" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_traffic_light: box_traffic_light.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_traffic_light: box_traffic_light.append(click_box[i]) if class_ids[a] == 12: class_ids[a] = "Parking meter" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_parking_meter: box_parking_meter.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 4 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_parking_meter: box_parking_meter.append(click_box[i]) ################################################################################################ if image.shape == (300, 300, 3): print("\nİmage shape ", image.shape) def box_path_x1(x1): if x1 <= 100: path_x1 = "G0" return path_x1 if 100 < x1 <= 200: path_x1 = "G1" return path_x1 if 200 < x1 <= 300: path_x1 = "G2" return path_x1 def box_path_x2(x2): if x2 <= 100: path_x2 = "G0" return path_x2 if 100 < x2 <= 200: path_x2 = "G1" return path_x2 if 200 < x2 <= 300: path_x2 = "G2" return path_x2 def box_path_y1(y1): if y1 <= 100: path_y1 = "G0" return path_y1 if 100 < y1 <= 200: path_y1 = "G3" return path_y1 if 200 < y1 <= 300: path_y1 = "G6" return path_y1 def box_path_y2(y2): if y2 <= 100: path_y2 = "G0" return path_y2 if 100 < y2 <= 200: path_y2 = "G3" return path_y2 if 200 < y2 <= 300: path_y2 = "G6" return path_y2 def box_corner(x,y): if x == "G0" and y == "G0": path = "G0" return path if x == "G0" and y == "G3": path = "G3" return path if x == "G0" and y == "G6": path = "G6" return path if x == "G1" and y == "G0": path = "G1" return path if x == "G1" and y == "G3": path = "G4" return path if x == "G1" and y == "G6": path = "G7" return path if x == "G2" and y == "G0": path = "G2" return path if x == "G2" and y == "G3": path = "G5" return path if x == "G2" and y == "G6": path = "G8" return path box_bicycle = [] box_car = [] box_motorcycle = [] box_bus = [] box_boat = [] box_traffic_light = [] box_fire_hydrant = [] box_parking_meter = [] for a in range(len(boxes)): x1 = boxes[a][0] x1_box = box_path_x1(x1) x2 = boxes[a][2] + x1 x2_box = box_path_x2(x2) y1 = boxes[a][1] y1_box = box_path_y1(y1) y2 = boxes[a][3] + y1 y2_box = box_path_y2(y2) x1y1 = box_corner(x=x1_box, y=y1_box) x1y1_n = "" for n in x1y1: if n != "G": x1y1_n += n x2y1 = box_corner(x=x2_box, y=y1_box) x2y1_n = "" for n in x2y1: if n != "G": x2y1_n += n x1y2 = box_corner(x=x1_box, y=y2_box) x1y2_n = "" for n in x1y2: if n != "G": x1y2_n += n x2y2 = box_corner(x=x2_box, y=y2_box) x2y2_n = "" for n in x2y2: if n != "G": x2y2_n += n x1y1_n = int(x1y1_n) x2y1_n = int(x2y1_n) x1y2_n = int(x1y2_n) x2y2_n = int(x2y2_n) if class_ids[a] == 1: class_ids[a] = "Bicycle" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_bicycle: box_bicycle.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_bicycle: box_bicycle.append(click_box[i]) if class_ids[a] == 2: class_ids[a] = "Car" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_car: box_car.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_car: box_car.append(click_box[i]) if class_ids[a] == 3: class_ids[a] = "Motorcycle" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_motorcycle: box_motorcycle.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_motorcycle: box_motorcycle.append(click_box[i]) if class_ids[a] == 5: class_ids[a] = "Bus" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_bus: box_bus.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_bus: box_bus.append(click_box[i]) if class_ids[a] == 8: class_ids[a] = "Boat" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_boat: box_boat.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_boat: box_boat.append(click_box[i]) if class_ids[a] == 9: class_ids[a] = "Traffic Light" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_traffic_light: box_traffic_light.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_traffic_light: box_traffic_light.append(click_box[i]) if class_ids[a] == 12: class_ids[a] = "Parking meter" if x1y1 == x2y1 and x1y1 == x1y2 and x1y1 == x2y2: click_box = [x1y1] if click_box[0] not in box_parking_meter: box_parking_meter.append(click_box[0]) else : row_1 = [] row_2 = [] for top_line in range((x2y1_n-x1y1_n)+1): row_1.append(x1y1_n + top_line) for bottom_line in range((x2y2_n-x1y2_n)+1): row_2.append(x1y2_n + bottom_line) click_box = [] for i in range(len(row_1)): click_box.append(row_1[i]) while row_1[i] < row_2[i]: row_1[i] = row_1[i] + 3 click_box.append(row_1[i]) click_box.pop for i in range(len(click_box)): click_box[i] = str("G") + str(click_box[i]) if click_box[i] not in box_parking_meter: box_parking_meter.append(click_box[i]) ################################################################################################ print("\n") print("Bicycle => ", box_bicycle) print("Car => ", box_car) print("Motorcycle => ", box_motorcycle) print("Bus => ", box_bus) print("Boat => ", box_boat) print("Traffic light => ", box_traffic_light) print("Fire hydrant => ", box_fire_hydrant) print("Parking meter => ", box_parking_meter)

33.172932

97

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3,260

26,472

3.129755

0.054908

0.131726

0.034304

0.030187

0.822013

0.816525

0.805155

0.755072

0

0.082415

0.458673

26,472

797

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0

null

0

1

0

1

0

null

0

7

96988eae4c95c47ea17ffecb54903d94ca1585dd

3,405

py

Python

AccGenBot/plugins/acc.py

infotechbro/AccGenBot

ae87ed9d88aa7e11177e794417c6a7391b842b4e

[ "MIT" ]

8

2021-04-24T03:27:07.000Z

2021-10-07T04:09:22.000Z

AccGenBot/plugins/acc.py

infotechbro/AccGenBot

ae87ed9d88aa7e11177e794417c6a7391b842b4e

[ "MIT" ]

null

AccGenBot/plugins/acc.py

infotechbro/AccGenBot

ae87ed9d88aa7e11177e794417c6a7391b842b4e

[ "MIT" ]

12

2021-04-24T05:16:56.000Z

2022-03-16T13:48:39.000Z

from AccGenBot import AccGen from AccGenBot.verify import verify from telethon import events, Button import random from Configs import Config @AccGen.on(events.callbackquery.CallbackQuery(data="zee5")) async def zee5(event): check = await verify(Config.CHANNEL_US, event, AccGen) if check is False: await event.reply("**Join my channel to use me:)**", buttons=[ [Button.url("Join Channel", "{}".format(Config.CHANNEL_URL))] ]) return with open('zee5.txt') as k: hits = k.read().splitlines() combo = random.choice(hits) email, password = combo.split(":") TEXT = f""" Generated Zee5 Acc Combo: <code>{email}:{password}</code> Email: <code>{email}</code> Password: <code>{password}</code> Generated By: @{event.sender.username} ser-ID: {event.sender_id} """ await event.edit(TEXT, parse_mode="HTML", buttons=[[Button.inline("Back", data="gen")] ]) @AccGen.on(events.callbackquery.CallbackQuery(data="voot")) async def voot(event): check = await verify(Config.CHANNEL_US, event, AccGen) if check is False: await event.reply("**Join my channel to use me:)**", buttons=[ [Button.url("Join Channel", "{}".format(Config.CHANNEL_URL))] ]) with open('voot.txt') as k: hits = k.read().splitlines() combo = random.choice(hits) email, password = combo.split(":") TEXT = f""" Generated Voot Acc Combo: <code>{email}:{password}</code> Email: <code>{email}</code> Password: <code>{password}</code> Generated By: @{event.sender.username} ser-ID: {event.sender_id} """ await event.edit(TEXT, parse_mode="HTML", buttons=[[Button.inline("Back", data="gen")] ]) @AccGen.on(events.callbackquery.CallbackQuery(data="alt")) async def alt(event): check = await verify(Config.CHANNEL_US, event, AccGen) if check is False: await event.reply("**Join my channel to use me:)**", buttons=[ [Button.url("Join Channel", "{}".format(Config.CHANNEL_URL))] ]) return with open('alt.txt') as k: hits = k.read().splitlines() combo = random.choice(hits) email, password = combo.split(":") TEXT = f""" Generated AltBalaji Acc Combo: <code>{email}:{password}</code> Email: <code>{email}</code> Password: <code>{password}</code> Generated By: @{event.sender.username} ser-ID: {event.sender_id} """ await event.edit(TEXT, parse_mode="HTML", buttons=[[Button.inline("Back", data="gen")] ]) @AccGen.on(events.callbackquery.CallbackQuery(data="sp")) async def zee5(event): check = await verify(Config.CHANNEL_US, event, AccGen) if check is False: await event.reply("**Join my channel to use me:)**", buttons=[ [Button.url("Join Channel", "{}".format(Config.CHANNEL_URL))] ]) return with open('sp.txt') as k: hits = k.read().splitlines() combo = random.choice(hits) email, password = combo.split(":") TEXT = f""" Generated Spotify Acc Combo: <code>{email}:{password}</code> Email: <code>{email}</code> Password: <code>{password}</code> Generated By: @{event.sender.username} ser-ID: {event.sender_id} """ await event.edit(TEXT, parse_mode="HTML", buttons=[[Button.inline("Back", data="gen")] ])

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90

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471

3,405

4.509554

0.150743

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0.037665

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0.904896

0.884181

0

0.001762

0.16652

3,405

108

91

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1

0

1

0

null

0

1

0

8

73cae440862856f0f4ae47bceb45542017a1b799

17,346

py

Python

src/callback.py

fshdnc/disease_normalization

68b8fc118fe0f971fbd056ad2bffb44caa0e7abf

[ "Apache-2.0" ]

1

2021-01-28T09:24:27.000Z

src/callback.py

fshdnc/disease_normalization

68b8fc118fe0f971fbd056ad2bffb44caa0e7abf

[ "Apache-2.0" ]

1

2019-07-08T03:25:30.000Z

2019-12-13T08:33:55.000Z

src/callback.py

fshdnc/disease_normalization

68b8fc118fe0f971fbd056ad2bffb44caa0e7abf

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # coding: utf8 """ A ranking accuracy callback. Modified from: https://github.com/lfurrer/disease-normalization/blob/master/tzlink/rank/callback.py """ import numpy as np import logging logger = logging.getLogger(__name__) from keras.callbacks import Callback from keras.models import load_model from datetime import datetime import io import model_tools from cnn import semantic_similarity_layer def save_model(model, path,now): logger.info('Saving best model to {0}'.format(path+now)) model_name = path + now + '.json' weights_name = path + now + '.h5' model_tools.save_model(model, model_name, weights_name) def evaluate(data_mentions, predictions, data_y): ''' Input: data_mentions: e.g. val_data.mentions, of the form [(start,end,untok_mention),(),...,()] predictions: [[prob],[prob],...,[prob]] data_y: e.g. val_data.y, of the form [[0],[1],...,[0]] ''' assert len(predictions) == len(data_y) correct = 0 logger.warning('High chance of same prediction scores.') for start, end, untok_mention in data_mentions: index_prediction = np.argmax(predictions[start:end],axis=0) # print(index_prediction) # prediction same for first few epochs if data_y[start:end][index_prediction] == 1: correct += 1 total = len(data_mentions) accuracy = correct/total logger.info('Accuracy: {0}, Correct: {1}, Total: {2}'.format(accuracy,correct,total)) return accuracy def write_training_info(conf,path): import configparser with open(path,'w',encoding='utf-8') as configfile: # save conf.write(configfile) class Timed(Callback): ''' Calculates time taken. ''' def __init__(self): super().__init__() self.before = None self.after = None def on_epoch_begin(self,epoch,logs={}): self.before = datetime.now() def on_epoch_end(self, epoch,logs={}): self.after = datetime.now() logger.info('Time taken for the epoch:{0}'.format(self.after-self.before)) class EarlyStoppingRankingAccuracy(Callback): ''' Ranking accuracy callback with early stopping. ''' def __init__(self, conf, val_data): super().__init__() self.conf = conf self.val_data = val_data self.best = 0 # best accuracy self.wait = 0 self.stopped_epoch = 0 self.model_path = conf['model']['path_model_whole'] self.save = int(self.conf['settings']['save_prediction']) self.now = datetime.now().strftime('%Y%m%d-%H%M%S') self.history = self.conf['settings']['history'] + self.now + '.txt' write_training_info(self.conf,self.history) def on_train_begin(self, logs={}): self.losses = [] self.accuracy = [] self.wait = 0 with open(self.history,'a',encoding='utf-8') as fh: # Pass the file handle in as a lambda function to make it callable self.model.summary(print_fn=lambda x: fh.write(x + '\n')) return def on_epoch_end(self, epoch, logs={}): self.losses.append(logs.get('loss')) #before = datetime.now() test_y = self.model.predict(self.val_data.x) #after = datetime.now() #logger.info('Time taken for prediction without speedup:{0}'.format(after-before)) evaluation_parameter = evaluate(self.val_data.mentions, test_y, self.val_data.y) self.accuracy.append(evaluation_parameter) with open(self.history,'a',encoding='utf-8') as f: f.write('Epoch: {0}, Training loss: {1}, validation accuracy: {2}\n'.format(epoch,logs.get('loss'),evaluation_parameter)) if evaluation_parameter > self.best: logging.info('Intermediate model saved.') self.best = evaluation_parameter self.model.save(self.model_path) self.wait = 0 # something here to print trec_eval doc else: self.wait += 1 if self.wait > int(self.conf['training']['patience']): self.stopped_epoch = epoch self.model.stop_training = True if self.save and self.model.stop_training: logger.info('Saving predictions to {0}'.format(self.conf['model']['path_saved_predictions'])) model_tools.save_predictions(self.conf['model']['path_saved_predictions'],test_y) #(filename,predictions) logger.info('Testing: epoch: {0}, self.model.stop_training: {1}'.format(epoch+1,self.model.stop_training)) return def on_train_end(self, logs=None): if self.stopped_epoch > 0: logging.info('Epoch %05d: early stopping', self.stopped_epoch + 1) if self.conf.getint('model','save'): self.model = load_model(self.model_path,custom_objects={'semantic_similarity_layer': semantic_similarity_layer}) save_model(self.model, self.conf['model']['path'],self.now) return def on_batch_end(self, batch, logs={}): self.losses.append(logs.get('loss')) return class EarlyStoppingRankingAccuracySpedUp(Callback): ''' Ranking accuracy callback with early stopping. ''' def __init__(self, conf, val_data, concept_padded, corpus_padded,pretrained): super().__init__() self.conf = conf self.val_data = val_data self.concept_padded = concept_padded self.corpus_padded = corpus_padded self.pretrained = pretrained self.convoluted_input = None self.prediction_model = None self.best = 0 # best accuracy self.wait = 0 self.stopped_epoch = 0 self.model_path = conf['model']['path_model_whole'] self.save = int(self.conf['settings']['save_prediction']) self.now = datetime.now().strftime('%Y%m%d-%H%M%S') self.history = self.conf['settings']['history'] + self.now + '.txt' write_training_info(self.conf,self.history) def on_train_begin(self, logs={}): self.losses = [] self.accuracy = [] self.wait = 0 with open(self.history,'a',encoding='utf-8') as fh: # Pass the file handle in as a lambda function to make it callable self.model.summary(print_fn=lambda x: fh.write(x + '\n')) return def on_epoch_end(self, epoch, logs={}): self.losses.append(logs.get('loss')) from cnn import forward_pass_speedup before = datetime.now() self.convoluted_input, self.prediction_model = forward_pass_speedup(self.model,self.corpus_padded,self.concept_padded,self.pretrained) test_y = self.prediction_model.predict(self.convoluted_input) after = datetime.now() logger.info('Time taken for prediction with speedup:{0}'.format(after-before)) evaluation_parameter = evaluate(self.val_data.mentions, test_y, self.val_data.y) self.accuracy.append(evaluation_parameter) self.convoluted_input = None self.prediction_model = None with open(self.history,'a',encoding='utf-8') as f: f.write('Epoch: {0}, Training loss: {1}, validation accuracy: {2}\n'.format(epoch,logs.get('loss'),evaluation_parameter)) if evaluation_parameter > self.best: logging.info('Intermediate model saved.') self.best = evaluation_parameter self.model.save(self.model_path) self.wait = 0 # something here to print trec_eval doc else: self.wait += 1 if self.wait > int(self.conf['training']['patience']): self.stopped_epoch = epoch self.model.stop_training = True if self.save and self.model.stop_training: logger.info('Saving predictions to {0}'.format(self.conf['model']['path_saved_predictions'])) model_tools.save_predictions(self.conf['model']['path_saved_predictions'],test_y) #(filename,predictions) logger.info('Testing: epoch: {0}, self.model.stop_training: {1}'.format(epoch,self.model.stop_training)) return def on_train_end(self, logs=None): if self.stopped_epoch > 0: logging.info('Epoch %05d: early stopping', self.stopped_epoch + 1) if self.conf.getint('model','save'): self.model = load_model(self.model_path,custom_objects={'semantic_similarity_layer': semantic_similarity_layer}) save_model(self.model, self.conf['model']['path'],self.now) return def on_batch_end(self, batch, logs={}): self.losses.append(logs.get('loss')) return class EarlyStoppingRankingAccuracySpedUpSharedEncoder(Callback): ''' Ranking accuracy callback with early stopping. ''' def __init__(self, conf, val_data, concept_padded, corpus_padded, pretrained): super().__init__() self.conf = conf self.val_data = val_data self.concept_padded = concept_padded self.corpus_padded = corpus_padded self.pretrained = pretrained self.convoluted_input = None self.prediction_model = None self.best = 0 # best accuracy self.wait = 0 self.stopped_epoch = 0 self.model_path = conf['model']['path_model_whole'] self.save = int(self.conf['settings']['save_prediction']) self.now = datetime.now().strftime('%Y%m%d-%H%M%S') self.history = self.conf['settings']['history'] + self.now + '.txt' write_training_info(self.conf,self.history) def on_train_begin(self, logs={}): self.losses = [] self.accuracy = [] self.wait = 0 with open(self.history,'a',encoding='utf-8') as fh: # Pass the file handle in as a lambda function to make it callable self.model.summary(print_fn=lambda x: fh.write(x + '\n')) return def on_epoch_end(self, epoch, logs={}): self.losses.append(logs.get('loss')) from cnn import forward_pass_speedup_shared_encoder before = datetime.now() self.convoluted_input, self.prediction_model = forward_pass_speedup_shared_encoder(self.model,self.corpus_padded,self.concept_padded,self.pretrained) test_y = self.prediction_model.predict(self.convoluted_input) after = datetime.now() logger.info('Time taken for prediction with speedup:{0}'.format(after-before)) evaluation_parameter = evaluate(self.val_data.mentions, test_y, self.val_data.y) self.accuracy.append(evaluation_parameter) self.convoluted_input = None self.prediction_model = None with open(self.history,'a',encoding='utf-8') as f: f.write('Epoch: {0}, Training loss: {1}, validation accuracy: {2}\n'.format(epoch,logs.get('loss'),evaluation_parameter)) if evaluation_parameter > self.best: logging.info('Intermediate model saved.') self.best = evaluation_parameter self.model.save(self.model_path) self.wait = 0 # something here to print trec_eval doc else: self.wait += 1 if self.wait > int(self.conf['training']['patience']): self.stopped_epoch = epoch self.model.stop_training = True if self.save and self.model.stop_training: logger.info('Saving predictions to {0}'.format(self.conf['model']['path_saved_predictions'])) model_tools.save_predictions(self.conf['model']['path_saved_predictions'],test_y) #(filename,predictions) logger.info('Testing: epoch: {0}, self.model.stop_training: {1}'.format(epoch,self.model.stop_training)) return def on_train_end(self, logs=None): if self.stopped_epoch > 0: logging.info('Epoch %05d: early stopping', self.stopped_epoch + 1) if self.conf.getint('model','save'): self.model.load_weights(self.model_path) save_model(self.model, self.conf['model']['path'],self.now) return def on_batch_end(self, batch, logs={}): self.losses.append(logs.get('loss')) return class EarlyStoppingRankingAccuracySpedUpGiveModel(Callback): ''' Ranking accuracy callback with early stopping. ''' def __init__(self, conf, val_data, concept_padded, corpus_padded, pretrained, create_spedup_model): super().__init__() self.conf = conf self.val_data = val_data self.concept_padded = concept_padded self.corpus_padded = corpus_padded self.pretrained = pretrained self.convoluted_input = None self.prediction_model = None self.create_spedup_model = create_spedup_model self.best = 0 # best accuracy self.wait = 0 self.stopped_epoch = 0 self.model_path = conf['model']['path_model_whole'] self.save = int(self.conf['settings']['save_prediction']) self.now = datetime.now().strftime('%Y%m%d-%H%M%S') self.history = self.conf['settings']['history'] + self.now + '.txt' write_training_info(self.conf,self.history) def on_train_begin(self, logs={}): self.losses = [] self.accuracy = [] self.wait = 0 with open(self.history,'a',encoding='utf-8') as fh: # Pass the file handle in as a lambda function to make it callable self.model.summary(print_fn=lambda x: fh.write(x + '\n')) return def on_epoch_end(self, epoch, logs={}): self.losses.append(logs.get('loss')) before = datetime.now() self.convoluted_input, self.prediction_model = self.create_spedup_model(self.model,self.corpus_padded,self.concept_padded,self.pretrained) test_y = self.prediction_model.predict(self.convoluted_input) after = datetime.now() logger.debug('Time taken for prediction with speedup:{0}'.format(after-before)) evaluation_parameter = evaluate(self.val_data.mentions, test_y, self.val_data.y) self.accuracy.append(evaluation_parameter) self.convoluted_input = None self.prediction_model = None with open(self.history,'a',encoding='utf-8') as f: f.write('Epoch: {0}, Training loss: {1}, validation accuracy: {2}\n'.format(epoch,logs.get('loss'),evaluation_parameter)) if evaluation_parameter > self.best: logging.info('Intermediate model saved.') self.best = evaluation_parameter self.model.save(self.model_path) self.wait = 0 # something here to print trec_eval doc else: self.wait += 1 if self.wait > int(self.conf['training']['patience']): self.stopped_epoch = epoch self.model.stop_training = True if self.save and self.model.stop_training: logger.info('Saving predictions to {0}'.format(self.conf['model']['path_saved_predictions'])) model_tools.save_predictions(self.conf['model']['path_saved_predictions'],test_y) #(filename,predictions) logger.info('Testing: epoch: {0}, self.model.stop_training: {1}'.format(epoch,self.model.stop_training)) return def on_train_end(self, logs=None): if self.stopped_epoch > 0: logging.info('Epoch %05d: early stopping', self.stopped_epoch + 1) try: self.model.load_weights(self.model_path) except OSError: pass # function in run_generator # predict(self.conf, self.concept, self.positives, self.vocab, self.entity_model, self.concept_model,self.model, self.val_data, result=self.history) if self.conf.getint('model','save'): save_model(self.model, self.conf['model']['path'],self.now) return def on_batch_end(self, batch, logs={}): self.losses.append(logs.get('loss')) return class EarlyStoppingRankingAccuracyGenerator(Callback): ''' Ranking accuracy callback with early stopping. ''' def __init__(self, conf, concept, positives, vocab, entity_model, concept_model, original_model,val_data): super().__init__() self.conf = conf self.concept = concept self.positives = positives self.vocab = vocab self.entity_model = entity_model self.concept_model = concept_model self.original_model = original_model self.val_data = val_data self.best = 0 # best accuracy self.wait = 0 self.stopped_epoch = 0 self.patience = int(conf['training']['patience']) self.model_path = conf['model']['path_model_whole'] self.save = int(self.conf['settings']['save_prediction']) self.now = datetime.now().strftime('%Y%m%d-%H%M%S') self.history = self.conf['settings']['history'] + self.now + '.txt' write_training_info(self.conf,self.history) def on_train_begin(self, logs={}): self.losses = [] self.accuracy = [] self.wait = 0 with open(self.history,'a',encoding='utf-8') as fh: # Pass the file handle in as a lambda function to make it callable self.original_model.summary(print_fn=lambda x: fh.write(x + '\n')) return def on_epoch_end(self, epoch, logs={}): self.losses.append(logs.get('loss')) evaluation_parameter = predict(self.conf, self.concept, self.positives, self.vocab, self.entity_model, self.concept_model,self.model, self.val_data) self.accuracy.append(evaluation_parameter) with open(self.history,'a',encoding='utf-8') as f: f.write('Epoch: {0}, Training loss: {1}, validation accuracy: {2}\n'.format(epoch,logs.get('loss'),evaluation_parameter)) if evaluation_parameter > self.best: logging.info('Intermediate model saved.') self.best = evaluation_parameter self.model.save(self.model_path) self.wait = 0 # something here to print trec_eval doc else: self.wait += 1 if self.wait > int(self.conf['training']['patience']): self.stopped_epoch = epoch self.model.stop_training = True if self.save and self.model.stop_training: logger.info('Saving predictions to {0}'.format(self.conf['model']['path_saved_predictions'])) model_tools.save_predictions(self.conf['model']['path_saved_predictions'],test_y) #(filename,predictions) logger.info('Testing: epoch: {0}, self.model.stop_training: {1}'.format(epoch,self.model.stop_training)) return def on_train_end(self, logs=None): if self.stopped_epoch > 0: logging.info('Epoch %05d: early stopping', self.stopped_epoch + 1) try: self.model.load_weights(self.model_path) except OSError: pass # function in run_generator # predict(self.conf, self.concept, self.positives, self.vocab, self.entity_model, self.concept_model,self.model, self.val_data, result=self.history) if self.conf.getint('model','save'): save_model(self.model, self.conf['model']['path'],self.now) return def on_batch_end(self, batch, logs={}): self.losses.append(logs.get('loss')) return

37.626898

156

0.708232

2,452

17,346

4.840946

0.084421

0.046251

0.026959

0.035383

0.849031

0.842965

0.841281

0.832856

0.825611

0

0.007534

0.150582

17,346

461

157

37.626898

0.798086

0.109074

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false

0.017241

0.031609

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0

null

0

1

0

1

0

null

0

7

73fd5a05bd62856a766308103b3feb3d66e495ac

2,710

py

Python

little_finger/utils/requests_response_util.py

yromeMfOtuO/little-finger

6474366e6f8f9072584aa7f113a7f425544a7708

[ "Apache-2.0" ]

null

little_finger/utils/requests_response_util.py

yromeMfOtuO/little-finger

6474366e6f8f9072584aa7f113a7f425544a7708

[ "Apache-2.0" ]

null

little_finger/utils/requests_response_util.py

yromeMfOtuO/little-finger

6474366e6f8f9072584aa7f113a7f425544a7708

[ "Apache-2.0" ]

null

""" requests response处理，校验状态码及成功标志默认response content-type 为 json """ import requests def check_status(response: requests.Response, err_msg: str = None): """ check http response status is 200 :param response: requests http response :param err_msg: exception error message """ if not str(response.status_code).startswith("2"): if not err_msg: err_msg = f"response status code: {response.status_code}, response content: {response.content}" raise Exception(err_msg) def check_flag(response: requests.Response, flag: str = 'success', err_msg: str = None): """ check http response status is 200, and check the business success flag :param response: requests http response :param flag: business flag key :param err_msg: exception error message """ check_status(response, err_msg) if not response.json()[flag]: if not err_msg: err_msg = f"business code is not success, response content: {response.content}" raise Exception(err_msg) def check_export(response: requests.Response, err_msg: str = None, data_key: str = None): """ check http response status is 200, and export response json :param response: requests http response :param err_msg: exception error message :param data_key: data field key in json :return: json """ check_status(response, err_msg) return response.json() if not data_key else response.json()[data_key] def check_export_data(response: requests.Response, err_msg: str = None): """ check http response status is 200, and export response json :param response: requests http response :param err_msg: exception error message :return: json """ return check_export(response, err_msg, 'data') def check_flag_export(response: requests.Response, flag: str = 'success', err_msg: str = None, data_key: str = None): """ check http response status is 200, and check the business success flag, then export response json :param response: requests http response :param flag: business flag key :param err_msg: exception error message :param data_key: data field key in json """ check_flag(response, flag, err_msg) return response.json() if not data_key else response.json()[data_key] def check_flag_export_data(response: requests.Response, flag: str = 'success', err_msg: str = None): """ check http response status is 200, and check the business success flag, then export response json :param response: requests http response :param flag: business flag key :param err_msg: exception error message """ return check_flag_export(response, flag, err_msg, "data")

35.657895

117

0.704059

372

2,710

4.997312

0.11828

0.074233

0.077461

0.041958

0.817644

0.783217

0.744486

0

0.008854

0.208118

2,710

75

118

36.133333

0.857409

0.429151

0

0.363636

0

0.129643

0.016752

0

1

0.272727

false

0

0.045455

0

0.5

0

null

0

1

0

null

0

1

0

7

fb7b368376b5efdcc142b272cee2e155e7c29ff7

6,798

py

Python

imputeTSpy/locf.py

zaenalium/imputeTSpy

7d34cdcd699606f908de6f3de17b6c6b9150091c

[ "MIT" ]

null

imputeTSpy/locf.py

zaenalium/imputeTSpy

7d34cdcd699606f908de6f3de17b6c6b9150091c

[ "MIT" ]

null

imputeTSpy/locf.py

zaenalium/imputeTSpy

7d34cdcd699606f908de6f3de17b6c6b9150091c

[ "MIT" ]

null

import numpy as np import pandas as pd from check_data import check_data, consecutive from tsAirgap import ts_airgap, ts_heating, ts_nh4 #from impyute.ops import error #@wrapper.wrappers #@wrapper.checks def locf(data, na_remaining = "rev", maxgap = None): """ Last Observation Carried Forward For each set of missing indices, use the value of one row before(same column). In the case that the missing value is the first row, look one row ahead instead. If this next row is also NaN, look to the next row. Repeat until you find a row in this column that's not NaN. All the rows before will be filled with this value. Parameters ---------- data: numpy.array, list or pandas.Series Data to impute. na_remaining : Method to be used for remaining nan (if missing number apear in the first observation) : "keep" - to return the series with NAs "mean" - to replace remaining NAs by overall mean "rev" - to perform nocb / locf from the reverse direction maxgap : Maximum number of successive NAs to still perform imputation on. Default setting is to replace all NAs without restrictions. With this option set, consecutive nan runs, that are longer than 'maxgap' will be left nan. This option mostly makes sense if you want to treat long runs of nan afterwards separately Returns ------- numpy.array Imputed data. Examples ------ import imputeTSpy data = imputeTSpy.ts_nh4() data_fill_locf = imputeTSpy.locf(data) data_fill_nocb = imputeTSpy.nocb(data) """ data = check_data(data) nan_xy = np.argwhere(np.isnan(data)) nan_xy_idx = np.array([x[0] for x in nan_xy]) if maxgap != None : z = consecutive(nan_xy_idx) exc = [] for i in range(len(z)) : if len(z[i]) > maxgap : exc.extend(z[i]) nan_xy_idx = nan_xy_idx[np.isin(nan_xy_idx, exc) == False] else : pass n = data.shape[0] n_int = np.arange(n)#[x for x in range(n)] data_cp = data.copy() for i in nan_xy_idx : try : cdd = n_int [n_int > i] idx_rep = np.min(cdd[np.isin(cdd, nan_xy_idx) == False]) data_cp[i] = data_cp[idx_rep] except : if na_remaining == "rev" : cdd = n_int [n_int < i] idx_rep = np.max(cdd[np.isin(cdd, nan_xy_idx) == False]) data_cp[i] = data_cp[idx_rep] elif na_remaining == "mean": idx_rep = np.mean(data[np.isnan(data) == False]) data_cp[i] = idx_rep elif na_remaining == "keep": pass else : raise("the option is invalid, please fill valid option!!!!") return data_cp def nocb(data, axis=0, na_remaining = "rev", maxgap = None): """ Next Observation Carried Backward For each set of missing indices, use the value of one row before(same column). In the case that the missing value is the first row, look one row ahead instead. If this next row is also NaN, look to the next row. Repeat until you find a row in this column that's not NaN. All the rows before will be filled with this value. Parameters ---------- data: numpy.array, list or pandas.Series Data to impute. na_remaining : Method to be used for remaining nan (if missing number apear in the first observation) : "keep" - to return the series with NAs "mean" - to replace remaining NAs by overall mean "rev" - to perform nocb / locf from the reverse direction maxgap : Maximum number of successive NAs to still perform imputation on. Default setting is to replace all NAs without restrictions. With this option set, consecutive nan runs, that are longer than 'maxgap' will be left nan. This option mostly makes sense if you want to treat long runs of nan afterwards separately Returns ------- numpy.ndarray Imputed data. Examples ------ import imputeTSpy data = imputeTSpy.ts_nh4() data_fill_locf = imputeTSpy.locf(data) data_fill_nocb = imputeTSpy.nocb(data) """ data = check_data(data) nan_xy = np.argwhere(np.isnan(data)) nan_xy_idx = np.array([x[0] for x in nan_xy]) if maxgap != None : z = consecutive(nan_xy_idx) exc = [] for i in range(len(z)) : if len(z[i]) > maxgap : exc.extend(z[i]) nan_xy_idx = nan_xy_idx[np.isin(nan_xy_idx, exc) == False] else : pass n = data.shape[0] n_int = np.arange(n)#[x for x in range(n)] data_cp = data.copy() for i in nan_xy_idx : try : cdd = n_int [n_int < i] idx_rep = np.min(cdd[np.isin(cdd, nan_xy_idx) == False]) data_cp[i] = data_cp[idx_rep] except : if na_remaining == "rev" : cdd = n_int [n_int > i] idx_rep = np.max(cdd[np.isin(cdd, nan_xy_idx) == False]) data_cp[i] = data_cp[idx_rep] elif na_remaining == "mean": idx_rep = np.mean(data[np.isnan(data) == False]) data_cp[i] = idx_rep elif na_remaining == "keep": pass else : raise("the option is invalid, please fill valid option!!!!") return data_cp #data = ts_nh4() #data[-2:] =[np.nan, np.nan] #nan_xy = np.argwhere(np.isnan(data)) #nan_xy_idx = np.array([x[0] for x in nan_xy]) #n = data.shape[0] #n_int = np.arange(n)#[x for x in range(n)] # #np.diff(np.append(i, z)) != 1 #max_gap = 10 # # ##z = nan_xy_idx[nan_xy_idx > i] ##a = np.array([0, 47, 48, 49, 50, 97, 98, 99]) #if maxgap != None : # z = consecutive(nan_xy_idx) # exc = [] # for i in range(len(z)) : # if len(z[i]) > max_gap : # exc.extend(z[i]) # nan_xy_idx = nan_xy_idx[np.isin(nan_xy_idx, exc) == False] #else : # pass # #data_cp = data.copy() #na_remaining = "mean" #for i in nan_xy_idx : # try : # cdd = n_int [n_int > i] # idx_rep = np.min(cdd[np.isin(cdd, nan_xy_idx) == False]) # data_cp[i] = data_cp[idx_rep] # except : # if na_remaining == "rev" : # cdd = n_int [n_int < i] # idx_rep = np.max(cdd[np.isin(cdd, nan_xy_idx) == False]) # data_cp[i] = data_cp[idx_rep] # elif na_remaining == "mean": # idx_rep = np.nanmean(data) # data_cp[i] = idx_rep # elif na_remaining == "keep": # pass # else : # raise("the option is invalid, please fill valid option!!!!") # # #z = nan_xy_idx[nan_xy_idx > i]

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null

0

1

0

8

fba4a3ec34dc4ed9b13643fc80a87a6a38904d8b

625

py

Python

tests/examples/test_postponed_annotations.py

jeffknaide/omegaconf

e7f7db4c60509de068990b5af9ec30d29f1369be

[ "BSD-3-Clause" ]

null

tests/examples/test_postponed_annotations.py

jeffknaide/omegaconf

e7f7db4c60509de068990b5af9ec30d29f1369be

[ "BSD-3-Clause" ]

null

tests/examples/test_postponed_annotations.py

jeffknaide/omegaconf

e7f7db4c60509de068990b5af9ec30d29f1369be

[ "BSD-3-Clause" ]

null

import sys import pytest @pytest.mark.skipif(sys.version_info < (3, 7), reason="requires Python 3.7") def test_simple_types_class_postponed() -> None: # import from a module which has `from __future__ import annotations` from tests.examples.dataclass_postponed_annotations import simple_types_class simple_types_class() @pytest.mark.skipif(sys.version_info < (3, 7), reason="requires Python 3.7") def test_conversions_postponed() -> None: # import from a module which has `from __future__ import annotations` from tests.examples.dataclass_postponed_annotations import conversions conversions()

31.25

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0.017467

0.104803

0.082969

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0

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0.1424

625

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1

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1

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8

fbc578561bc3f1f14716f1751a6ae8f75ea26e4f

6,248

py

Python

tests/models/torch/test_encoders.py

YangRui2015/d3rlpy

da778b2a2b0afbafe25395296baecd0d4d0cd0d5

[ "MIT" ]

1

2021-05-08T06:21:05.000Z

tests/models/torch/test_encoders.py

YangRui2015/d3rlpy

da778b2a2b0afbafe25395296baecd0d4d0cd0d5

[ "MIT" ]

null

tests/models/torch/test_encoders.py

YangRui2015/d3rlpy

da778b2a2b0afbafe25395296baecd0d4d0cd0d5

[ "MIT" ]

null

import pytest import torch from d3rlpy.models.torch.encoders import ( PixelEncoder, PixelEncoderWithAction, VectorEncoder, VectorEncoderWithAction, ) from .model_test import check_parameter_updates @pytest.mark.parametrize("shapes", [((4, 84, 84), 3136)]) @pytest.mark.parametrize("filters", [[(32, 8, 4), (64, 4, 2), (64, 3, 1)]]) @pytest.mark.parametrize("feature_size", [512]) @pytest.mark.parametrize("batch_size", [32]) @pytest.mark.parametrize("use_batch_norm", [False, True]) @pytest.mark.parametrize("dropout_rate", [None, 0.2]) @pytest.mark.parametrize("activation", [torch.relu]) def test_pixel_encoder( shapes, filters, feature_size, batch_size, use_batch_norm, dropout_rate, activation, ): observation_shape, linear_input_size = shapes encoder = PixelEncoder( observation_shape=observation_shape, filters=filters, feature_size=feature_size, use_batch_norm=use_batch_norm, dropout_rate=dropout_rate, activation=activation, ) x = torch.rand((batch_size,) + observation_shape) y = encoder(x) # check output shape assert encoder._get_linear_input_size() == linear_input_size assert y.shape == (batch_size, feature_size) # check use of batch norm encoder.eval() eval_y = encoder(x) if use_batch_norm or dropout_rate: assert not torch.allclose(y, eval_y) else: assert torch.allclose(y, eval_y) # check layer connection check_parameter_updates(encoder, (x,)) @pytest.mark.parametrize("shapes", [((4, 84, 84), 3136)]) @pytest.mark.parametrize("action_size", [2]) @pytest.mark.parametrize("filters", [[(32, 8, 4), (64, 4, 2), (64, 3, 1)]]) @pytest.mark.parametrize("feature_size", [512]) @pytest.mark.parametrize("batch_size", [32]) @pytest.mark.parametrize("use_batch_norm", [False, True]) @pytest.mark.parametrize("dropout_rate", [None, 0.2]) @pytest.mark.parametrize("discrete_action", [False, True]) @pytest.mark.parametrize("activation", [torch.relu]) def test_pixel_encoder_with_action( shapes, action_size, filters, feature_size, batch_size, use_batch_norm, dropout_rate, discrete_action, activation, ): observation_shape, linear_input_size = shapes encoder = PixelEncoderWithAction( observation_shape=observation_shape, action_size=action_size, filters=filters, feature_size=feature_size, use_batch_norm=use_batch_norm, dropout_rate=dropout_rate, discrete_action=discrete_action, activation=activation, ) x = torch.rand((batch_size,) + observation_shape) if discrete_action: action = torch.randint(0, action_size, size=(batch_size, 1)) else: action = torch.rand((batch_size, action_size)) y = encoder(x, action) # check output shape assert encoder._get_linear_input_size() == linear_input_size + action_size assert y.shape == (batch_size, feature_size) # check use of batch norm encoder.eval() eval_y = encoder(x, action) if use_batch_norm or dropout_rate: assert not torch.allclose(y, eval_y) else: assert torch.allclose(y, eval_y) # check layer connection check_parameter_updates(encoder, (x, action)) @pytest.mark.parametrize("observation_shape", [(100,)]) @pytest.mark.parametrize("hidden_units", [[256, 256]]) @pytest.mark.parametrize("batch_size", [32]) @pytest.mark.parametrize("use_batch_norm", [False, True]) @pytest.mark.parametrize("dropout_rate", [None, 0.2]) @pytest.mark.parametrize("use_dense", [False, True]) @pytest.mark.parametrize("activation", [torch.relu]) def test_vector_encoder( observation_shape, hidden_units, batch_size, use_batch_norm, dropout_rate, use_dense, activation, ): encoder = VectorEncoder( observation_shape=observation_shape, hidden_units=hidden_units, use_batch_norm=use_batch_norm, dropout_rate=dropout_rate, use_dense=use_dense, activation=activation, ) x = torch.rand((batch_size,) + observation_shape) y = encoder(x) # check output shape assert encoder.get_feature_size() == hidden_units[-1] assert y.shape == (batch_size, hidden_units[-1]) # check use of batch norm encoder.eval() eval_y = encoder(x) if use_batch_norm or dropout_rate: assert not torch.allclose(y, eval_y) else: assert torch.allclose(y, eval_y) # check layer connection check_parameter_updates(encoder, (x,)) @pytest.mark.parametrize("observation_shape", [(100,)]) @pytest.mark.parametrize("action_size", [2]) @pytest.mark.parametrize("hidden_units", [[256, 256]]) @pytest.mark.parametrize("batch_size", [32]) @pytest.mark.parametrize("use_batch_norm", [False, True]) @pytest.mark.parametrize("dropout_rate", [None, 0.2]) @pytest.mark.parametrize("use_dense", [False, True]) @pytest.mark.parametrize("discrete_action", [False, True]) @pytest.mark.parametrize("activation", [torch.relu]) def test_vector_encoder( observation_shape, action_size, hidden_units, batch_size, use_batch_norm, dropout_rate, use_dense, discrete_action, activation, ): encoder = VectorEncoderWithAction( observation_shape=observation_shape, action_size=action_size, hidden_units=hidden_units, use_batch_norm=use_batch_norm, dropout_rate=dropout_rate, use_dense=use_dense, discrete_action=discrete_action, activation=activation, ) x = torch.rand((batch_size,) + observation_shape) if discrete_action: action = torch.randint(0, action_size, size=(batch_size, 1)) else: action = torch.rand((batch_size, action_size)) y = encoder(x, action) # check output shape assert encoder.get_feature_size() == hidden_units[-1] assert y.shape == (batch_size, hidden_units[-1]) # check use of batch norm encoder.eval() eval_y = encoder(x, action) if use_batch_norm or dropout_rate: assert not torch.allclose(y, eval_y) else: assert torch.allclose(y, eval_y) # check layer connection check_parameter_updates(encoder, (x, action))

29.752381

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6,248

5.217834

0.095541

0.078125

0.164063

0.037109

0.899414

0.847656

0.822754

0

0.018354

0.18902

6,248

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0.790014

0.042093

0

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0

0.060616

0

0.093567

1

0.023392

false

0

0.023392

0

0.046784

0

null

0

1

0

1

0

null

0

7

f7efe82255fe75dd3c26f5fbb39c2ef16afa0d50

73,707

py

Python

bklv2/api.py

etecor/bklv2

aa4373ed51c3bade65c78e41921261f233e39a7f

[ "MIT" ]

null

bklv2/api.py

etecor/bklv2

aa4373ed51c3bade65c78e41921261f233e39a7f

[ "MIT" ]

null

bklv2/api.py

etecor/bklv2

aa4373ed51c3bade65c78e41921261f233e39a7f

[ "MIT" ]

null

# -*- coding: utf-8 -*- import datetime import shutil import requests import json import rfc6266 def _gpath( path ): """ "https://test.backlog.jp/" -> "https://test.backlog.jp/" "https://test.backlog.jp" -> "https://test.backlog.jp/" """ if path == "": return "./" elif path.endswith( "/" ): return path else: return path + "/" def _addkw( dic, k, w ): """ dic[] -> dic[k] = w """ if w != None: if isinstance( w, ( tuple, list ) ): for i, v in w: _addkw( dic, k + "[" + i + "]", v ) elif isinstance( w, bool ): if w == True: dic[k] = "true" else: dic[k] = "false" elif isinstance( w, datetime.date ): dic[k] = w.strftime( "%Y-%m-%d" ) else: dic[k] = w def _addkws( dic, k, w ): """ dic[] -> dic[k[]] = w[] """ if w != None: if isinstance( w, ( tuple, list ) ): i=0 for v in w: _addkw( dic, k + "[" + str(i) + "]", v ) i+=1 else: _addkw( dic, k + "[0]", w ) def _dicset( dic, k, w, tuples ): for t in tuples: if k==t: _addkws( dic, k[0:-1], w ) return _addkw( dic, k, w ) class api( object ): """ Backlog API version 2 wrapper """ def __init__( self, hostname, apikey ): """ hostname: "https://[spacename].backlog.jp" apikey: "nWdhOFxDpAlsFTGSIHisRkUvTq5eTiBDBJ0FFqAdtLTSIvKpfkvb09Kteststring" """ if hostname.endswith( "/" ): self.hostname = hostname.rstrip("/") else: self.hostname = hostname self.apikey = apikey def _makeurl( self, path ): return self.hostname + path def _api_return( self, response, **kwargs ): self.response = response output="json" dir_path = "./" for k, v in kwargs.items(): if k == "output": output = v elif k == "dirpath": dirpath = v if output == "json": try: return json.loads( self.response.text ) except: return {} elif output == "response": return response elif output == "path": if response.status_code == 200: rr = rfc6266.parse_requests_response( response ) p = _gpath( dirpath ) + rr.filename_unsafe with open( p, 'wb' ) as fp: response.raw.decode_content = True shutil.copyfileobj( response.raw, fp ) return p return self.response.text def getSpace( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-space """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/space" ) return self._api_return( requests.get( url, params = params ) ) def getRecentUpdates( self, activityTypeIds = None, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-recent-updates """ params = { "apiKey": self.apikey } _addkws( params, "activityTypeId", activityTypeIds ) _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/space/activities" ) return self._api_return( requests.get( url, params = params ) ) def getSpaceLogo( self, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-space-logo """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/space/image" ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def getSpaceNotification( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-space-notification """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/space/notification" ) return self._api_return( requests.get( url, params = params ) ) def updateSpaceNotification( self, content ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-space-notification """ params = { "apiKey": self.apikey } data = { "content": content } url = self._makeurl( "/api/v2/space/notification" ) return self._api_return( requests.put( url, params = params, data = data ) ) def getSpaceDiskUsage( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-space-disk-usage """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/space/diskUsage" ) return self._api_return( requests.get( url, params = params ) ) def postAttachmentFile( self, filepath ): """ https://developer.nulab-inc.com/docs/backlog/api/2/post-attachment-file """ params = { "apiKey": self.apikey } fp = open( filepath, "rb" ) files = { "file": [ requests.utils.guess_filename( fp ), fp.read(), "application/octet-stream" ] } fp.close() url = self._makeurl( "/api/v2/space/attachment" ) return self._api_return( requests.post( url, params = params, files = files ) ) def getUserList( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-user-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/users" ) return self._api_return( requests.get( url, params = params ) ) def getUser( self, userId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-user """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/users/" + str( userId ) ) return self._api_return( requests.get( url, params = params ) ) def addUser( self, userId, password, name, mailAddress, roleType ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-user """ params = { "apiKey": self.apikey } data = { "userId": userId, "password": password, "name": name, "mailAddress": mailAddress, "roleType": roleType } url = self._makeurl( "/api/v2/users" ) return self._api_return( requests.post( url, params = params, data = data ) ) def updateUser( self, userId, password = None, name = None, mailAddress = None, roleType = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-user """ params = { "apiKey": self.apikey } data = {} _addkw( data, "password", password ) _addkw( data, "name", name ) _addkw( data, "mailAddress", mailAddress ) _addkw( data, "roleType", roleType ) url = self._makeurl( "/api/v2/users/" + str( userId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteUser( self, userId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-user """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/users/" + str( userId ) ) return self._api_return( requests.delete( url, params = params ) ) def getOwnUser( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-own-user """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/users/myself" ) return self._api_return( requests.get( url, params = params ) ) def getUserIcon( self, userId, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-user-icon """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/users/" + str( userId ) + "/icon" ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def getUserRecentUpdates( self, userId, activityTypeIds = None, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-user-recent-updates """ params = { "apiKey": self.apikey } _addkws( params, "activityTypeIds", activityTypeIds ) _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/users/" + str( userId ) + "/activities" ) return self._api_return( requests.get( url, params = params ) ) def getReceivedStarList( self, userId, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-received-star-list """ params = { "apiKey": self.apikey } _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/users/" + str( userId ) + "/stars" ) return self._api_return( requests.get( url, params = params ) ) def countUserReceivedStars( self, userId, since = None, until = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/count-user-received-stars """ params = { "apiKey": self.apikey } _addkw( params, "since", since ) _addkw( params, "until", until ) url = self._makeurl( "/api/v2/users/" + str( userId ) + "/stars/count" ) return self._api_return( requests.get( url, params = params ) ) def getListOfRecentlyViewedIssues( self, order = None, offset = None, count = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-recently-viewed-issues """ params = { "apiKey": self.apikey } _addkw( params, "order", order ) _addkw( params, "offset", offset ) _addkw( params, "count", count ) url = self._makeurl( "/api/v2/users/myself/recentlyViewedIssues" ) return self._api_return( requests.get( url, params = params ) ) def getListOfRecentlyViewedProjects( self, order = None, offset = None, count = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-recently-viewed-projects """ params = { "apiKey": self.apikey } _addkw( params, "order", order ) _addkw( params, "offset", offset ) _addkw( params, "count", count ) url = self._makeurl( "/api/v2/users/myself/recentlyViewedProjects" ) return self._api_return( requests.get( url, params = params ) ) def getListOfRecentlyViewedWikis( self, order = None, offset = None, count = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-recently-viewed-wikis """ params = { "apiKey": self.apikey } _addkw( params, "order", order ) _addkw( params, "offset", offset ) _addkw( params, "count", count ) url = self._makeurl( "/api/v2/users/myself/recentlyViewedWikis" ) return self._api_return( requests.get( url, params = params ) ) def getListOfGroups( self, order = None, offset = None, count = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-groups """ params = { "apiKey": self.apikey } _addkw( params, "order", order ) _addkw( params, "offset", offset ) _addkw( params, "count", count ) url = self._makeurl( "/api/v2/groups" ) return self._api_return( requests.get( url, params = params ) ) def addGroup( self, name, members = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-group """ params = { "apiKey": self.apikey } data = { "name": name } _addkws( data, "members", members ) url = self._makeurl( "/api/v2/groups" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getGroup( self, groupId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-group """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/groups/" + str( groupId ) ) return self._api_return( requests.get( url, params = params ) ) def updateGroup( self, groupId, name = None, members = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-group """ params = { "apiKey": self.apikey } data = {} _addkw( data, "name", name ) _addkws( data, "members", members ) url = self._makeurl( "/api/v2/groups/" + str( groupId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteGroup( self, groupId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-group """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/groups/" + str( groupId ) ) return self._api_return( requests.delete( url, params = params ) ) def getStatusList( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-status-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/statuses" ) return self._api_return( requests.get( url, params = params ) ) def getResolutionList( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-resolution-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/resolutions" ) return self._api_return( requests.get( url, params = params ) ) def getPriorityList( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-priority-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/priorities" ) return self._api_return( requests.get( url, params = params ) ) def getProjectList( self, archived = None, all = False ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project-list """ params = { "apiKey": self.apikey } _addkw( params, "archived", archived ) _addkw( params, "all", all ) url = self._makeurl( "/api/v2/projects" ) return self._api_return( requests.get( url, params = params ) ) def addProject( self, name, key, chartEnabled, subtaskingEnabled, textFormattingRule, projectLeaderCanEditProjectLeader = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-project """ params = { "apiKey": self.apikey } data = { "name": name, "key": key } _addkw( data, "chartEnabled", chartEnabled ) _addkw( data, "subtaskingEnabled", subtaskingEnabled ) _addkw( data, "textFormattingRule", textFormattingRule ) _addkw( data, "projectLeaderCanEditProjectLeader", projectLeaderCanEditProjectLeader ) url = self._makeurl( "/api/v2/projects" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getProject( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" ) + str( projectIdOrKey ) return self._api_return( requests.get( url, params = params ) ) def updateProject( self, projectIdOrKey, name = None, key = None, chartEnabled = None, subtaskingEnabled = None, projectLeaderCanEditProjectLeader = None, textFormattingRule = None, archived = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-project """ params = { "apiKey": self.apikey } data = {} _addkw( data, "name", name ) _addkw( data, "key", key ) _addkw( data, "chartEnabled", chartEnabled ) _addkw( data, "subtaskingEnabled", subtaskingEnabled ) _addkw( data, "textFormattingRule", textFormattingRule ) _addkw( data, "projectLeaderCanEditProjectLeader", projectLeaderCanEditProjectLeader ) _addkw( data, "archived", archived ) url = self._makeurl( "/api/v2/projects/" ) + str( projectIdOrKey ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteProject( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-project """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" ) + str( projectIdOrKey ) return self._api_return( requests.delete( url, params = params ) ) def getProjectIcon( self, projectIdOrKey, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project-icon """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + "/image" ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def getProjectRecentUpdates( self, projectIdOrKey, activityTypeIds = None, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project-recent-updates """ params = { "apiKey": self.apikey } _addkws( params, "activityTypeIds", activityTypeIds ) _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/activities" ) return self._api_return( requests.get( url, params = params ) ) def addProjectUser( self, projectIdOrKey, userId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-project-user """ params = { "apiKey": self.apikey } data = { "userId": userId } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/users" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getProjectUserList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project-user-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/users" ) return self._api_return( requests.get( url, params = params ) ) def deleteProjectUser( self, projectIdOrKey, userId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-project-user """ params = { "apiKey": self.apikey } data = { "userId": userId } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/users" ) return self._api_return( requests.delete( url, params = params, data = data ) ) def addProjectAdministrator( self, projectIdOrKey, userId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-project-administrator """ params = { "apiKey": self.apikey } data = { "userId": userId } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/administrators" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getListOfProjectAdministrators( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-project-administrators """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/administrators" ) return self._api_return( requests.get( url, params = params ) ) def deleteProjectAdministrator( self, projectIdOrKey, userId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-project-administrator """ params = { "apiKey": self.apikey } data = { "userId": userId } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/administrators" ) return self._api_return( requests.delete( url, params = params, data = data ) ) def getIssueTypeList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-issue-type-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/issueTypes" ) return self._api_return( requests.get( url, params = params ) ) def addIssueType( self, projectIdOrKey, name, color ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-issue-type """ params = { "apiKey": self.apikey } data = { "name": name, "color": color } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/issueTypes" ) return self._api_return( requests.post( url, params = params, data = data ) ) def updateIssueType( self, projectIdOrKey, id, name = None, color = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-issue-type """ params = { "apiKey": self.apikey } data = {} _addkw( data, "name", name ) _addkw( data, "color", color ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/issueTypes/" + str( id ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteIssueType( self, projectIdOrKey, id, substituteIssueTypeId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-issue-type """ params = { "apiKey": self.apikey } data = { "substituteIssueTypeId": str( substituteIssueTypeId ) } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/issueTypes/" + str( id ) ) return self._api_return( requests.delete( url, params = params, data = data ) ) def getCategoryList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-category-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/categories" ) return self._api_return( requests.get( url, params = params ) ) def addCategory( self, projectIdOrKey, name ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-category """ params = { "apiKey": self.apikey } data = { "name": name } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/categories" ) return self._api_return( requests.post( url, params = params, data = data ) ) def updateCategory( self, projectIdOrKey, id, name ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-category """ params = { "apiKey": self.apikey } data = { "name": name } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/categories/" + str( id ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteCategory( self, projectIdOrKey, id ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-category """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/categories/" + str( id ) ) return self._api_return( requests.delete( url, params = params ) ) def getVersionMilestoneList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-version-milestone-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/versions" ) return self._api_return( requests.get( url, params = params ) ) def addVersionMilestone( self, projectIdOrKey, name, description = None, startDate = None, releaseDueDate = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-version-milestone startDate,releaseDueDate : YYYY-MM-DD """ params = { "apiKey": self.apikey } data = { "name": name } _addkw( data, "description", description ) _addkw( data, "startDate", startDate ) _addkw( data, "releaseDueDate", releaseDueDate ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/versions" ) return self._api_return( requests.post( url, params = params, data = data ) ) def updateVersionMilestone( self, projectIdOrKey, id, name, description = None, startDate = None, releaseDueDate = None, archived = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-version-milestone startDate,releaseDueDate : YYYY-MM-DD """ params = { "apiKey": self.apikey } data = { "name": name } _addkw( data, "description", description ) _addkw( data, "startDate", startDate ) _addkw( data, "releaseDueDate", releaseDueDate ) _addkw( data, "archived", archived ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/versions/" + str( id ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteVersion( self, projectIdOrKey, id ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-version """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/versions/" + str( id ) ) return self._api_return( requests.delete( url, params = params ) ) def getCustomFieldList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-custom-field-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields" ) return self._api_return( requests.get( url, params = params ) ) def addCustomField( self, projectIdOrKey, typeId, name, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-custom-field """ tuples = ["items", "applicableIssueTypes"] params = { "apiKey": self.apikey } data = { "typeId": typeId, "name": name } for k, v in kwargs.items(): _dicset( data, k, v, tuples ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields" ) return self._api_return( requests.post( url, params = params, data = data ) ) def updateCustomField( self, projectIdOrKey, customFieldId, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-custom-field """ tuples = ["items", "applicableIssueTypes"] params = { "apiKey": self.apikey } data = {} for k, v in kwargs.items(): _dicset( data, k, v, tuples ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields/" + str( customFieldId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteCustomField( self, projectIdOrKey, customFieldId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-custom-field """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields/" + str( customFieldId ) ) return self._api_return( requests.delete( url, params = params ) ) def addListItemForListTypeCustomField( self, projectIdOrKey, customFieldId, name ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-list-item-for-list-type-custom-field """ params = { "apiKey": self.apikey } data = { "name": name } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields/" + str( customFieldId ) + \ "/items" ) return self._api_return( requests.post( url, params = params, data = data ) ) def updateListItemForListTypeCustomField( self, projectIdOrKey, customFieldId, itemId, name ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-list-item-for-list-type-custom-field """ params = { "apiKey": self.apikey } data = { "name": name } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields/" + str( customFieldId ) + \ "/items/" + str( itemId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteListItemForListTypeCustomField( self, projectIdOrKey, customFieldId, itemId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-list-item-for-list-type-custom-field """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/customFields/" + str( customFieldId ) + \ "/items/" + str( itemId ) ) return self._api_return( requests.delete( url, params = params ) ) def getListOfSharedFiles( self, projectIdOrKey, path = "", order = None, offset = None, count = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-shared-files """ params = { "apiKey": self.apikey } _addkw( params, "order", order ) _addkw( params, "offset", offset ) _addkw( params, "count", count ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/files/metadata/" + str( path ) ) return self._api_return( requests.get( url, params = params ) ) def getFile( self, projectIdOrKey, sharedFileId, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-file """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/files/" + str( sharedFileId ) ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def getProjectDiskUsage( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project-disk-usage """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/diskUsage" ) return self._api_return( requests.get( url, params = params ) ) def getListOfWebhooks( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-webhooks """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/webhooks" ) return self._api_return( requests.get( url, params = params ) ) def addWebhook( self, projectIdOrKey, name, hookUrl, description = None, allEvent = None, activityTypeIds = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-webhook """ params = { "apiKey": self.apikey } data = { "name": name, "hookUrl": hookUrl } _addkw( data, "description", description ) _addkw( data, "allEvent", allEvent ) _addkws( data, "activityTypeIds", activityTypeIds ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/webhooks" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getWebhook( self, projectIdOrKey, webhookId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-webhook """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/webhooks/" + str( webhookId ) ) return self._api_return( requests.get( url, params = params ) ) def updateWebhook( self, projectIdOrKey, webhookId, name = None, hookUrl = None, description = None, allEvent = None, activityTypeIds = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-webhook """ params = { "apiKey": self.apikey } data = {} _addkw( data, "name", name ) _addkw( data, "description", description ) _addkw( data, "hookUrl", hookUrl ) _addkw( data, "allEvent", allEvent ) _addkws( data, "activityTypeIds", activityTypeIds ) url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/webhooks/" + str( webhookId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteWebhook( self, projectIdOrKey, webhookId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-webhook """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/webhooks/" + str( webhookId ) ) return self._api_return( requests.delete( url, params = params ) ) def getIssueList( self, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-issue-list """ tuples = [ "projectIds", "issueTypeIds", "categoryIds", "versionIds", \ "milestoneIds", "statusIds", "priorityIds", "assigneeIds", \ "createdUserIds", "resolutionIds", "ids", "parentIssueIds" ] params = { "apiKey": self.apikey } for k, w in kwargs.items(): _dicset(params,k,w,tuples) url = self._makeurl( "/api/v2/issues" ) return self._api_return( requests.get( url, params = params ) ) def countIssue( self, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/count-issue """ tuples = [ "projectIds", "issueTypeIds", "categoryIds", "versionIds", \ "milestoneIds", "statusIds", "priorityIds", "assigneeIds", \ "createdUserIds", "resolutionIds", "ids", "parentIssueIds" ] params = { "apiKey": self.apikey } for k, w in kwargs.items(): _dicset(params,k,w,tuples) url = self._makeurl( "/api/v2/issues/count" ) return self._api_return( requests.get( url, params = params ) ) def addIssue( self, projectId, summary, issueTypeId, priorityId, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-issue """ tuples = [ "categoryIds", "versionIds", "milestoneIds", "notifiedUserIds", "attachmentIds" ] params = { "apiKey": self.apikey } data = { "projectId": projectId, "summary": summary, "issueTypeId": issueTypeId, "priorityId": priorityId } for k, w in kwargs.items(): _dicset(data,k,w,tuples) url = self._makeurl( "/api/v2/issues" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getIssue( self, issueIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-issue """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) ) return self._api_return( requests.get( url, params = params ) ) def updateIssue( self, issueIdOrKey, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-issue """ tuples = [ "categoryIds", "versionIds", "milestoneIds", "notifiedUserIds", "attachmentIds" ] params = { "apiKey": self.apikey } data = {} for k, w in kwargs.items(): _dicset(data,k,w,tuples) url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteIssue( self, issueIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-issue """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) ) return self._api_return( requests.delete( url, params = params ) ) def getCommentList( self, issueIdOrKey, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-comment-list """ params = { "apiKey": self.apikey } _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments" ) return self._api_return( requests.get( url, params = params ) ) def addComment( self, issueIdOrKey, content, notifiedUserIds = None, attachmentIds = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-comment """ params = { "apiKey": self.apikey } data = {"content": content} _addkw( data, "content", content ) _addkws( data, "notifiedUserId", notifiedUserIds ) _addkws( data, "attachmentId", attachmentIds ) url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments" ) return self._api_return( requests.post( url, params = params, data = data ) ) def countComment( self, issueIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/count-comment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/count" ) return self._api_return( requests.get( url, params = params ) ) def getComment( self, issueIdOrKey, commentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-comment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/" + str( commentId ) ) return self._api_return( requests.get( url, params = params ) ) def updateComment( self, issueIdOrKey, commentId, content ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-comment """ params = { "apiKey": self.apikey } data = { "content": content } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/" + str( commentId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def getListPfCommentNotifications( self, issueIdOrKey, commentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-comment-notifications """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/" + str( commentId ) + \ "/notifications" ) return self._api_return( requests.get( url, params = params ) ) def addCommentNotification( self, issueIdOrKey, commentId, notifiedUserIds ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-comment-notification """ params = { "apiKey": self.apikey } data = {} _addkws( data, "notifiedUserId", notifiedUserIds ) url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/" + str( commentId ) + \ "/notifications" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getListOfIssueAttachments( self, issueIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-issue-attachments """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/attachments" ) return self._api_return( requests.get( url, params = params ) ) def getIssueAttachment( self, issueIdOrKey, attachmentId, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-issue-attachment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/attachments/" + str( attachmentId ) ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def deleteIssueAttachment( self, issueIdOrKey, attachmentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-issue-attachment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/attachments/" + str( attachmentId ) ) return self._api_return( requests.delete( url, params = params ) ) def getListOfLinkedSharedFiles( self, issueIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-linked-shared-files """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/sharedFiles" ) return self._api_return( requests.get( url, params = params ) ) def removeLinkToSharedFileFromIssue( self, issueIdOrKey, fileId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/remove-link-to-shared-file-from-issue """ params = { "apiKey": self.apikey } data = {} _addkw( data, "fileId", fileId ) url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/sharedFiles/" + str( fileId ) ) return self._api_return( requests.delete( url, params = params, data = data ) ) def getWikiPageList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-wiki-page-list """ params = { "apiKey": self.apikey, "projectIdOrKey": projectIdOrKey } url = self._makeurl( "/api/v2/wikis" ) return self._api_return( requests.get( url, params = params ) ) def countWikiPage( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/count-wiki-page """ params = { "apiKey": self.apikey, "projectIdOrKey": projectIdOrKey } url = self._makeurl( "/api/v2/wikis/count" ) return self._api_return( requests.get( url, params = params ) ) def getWikiPageTagList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-wiki-page-tag-list """ params = { "apiKey": self.apikey, "projectIdOrKey": projectIdOrKey } url = self._makeurl( "/api/v2/wikis/tags" ) return self._api_return( requests.get( url, params = params ) ) def addWikiPage( self, projectId, name, content, mailNotify = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-wiki-page """ params = { "apiKey": self.apikey } data = { "projectId": projectId , "name": name, "content": content } _addkw( data, "mailNotify", mailNotify ) url = self._makeurl( "/api/v2/wikis" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getWikiPage( self, wikiId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-wiki-page """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) ) return self._api_return( requests.get( url, params = params ) ) def updateWikiPage( self, wikiId, name = None, content = None, mailNotify = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-wiki-page """ params = { "apiKey": self.apikey } data = {} _addkw( data, "name", name ) _addkw( data, "content", content ) _addkw( data, "mailNotify", mailNotify ) url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteWikiPage( self, wikiId, mailNotify = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-wiki-page """ params = { "apiKey": self.apikey } data = {} _addkw( data, "mailNotify", mailNotify ) url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) ) return self._api_return( requests.delete( url, params = params, data = data ) ) def getListOfWikiAttachments( self, wikiId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-wiki-attachments """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/attachments" ) return self._api_return( requests.get( url, params = params ) ) def attachFileToWiki( self, wikiId, attachmentIds ): """ https://developer.nulab-inc.com/docs/backlog/api/2/attach-file-to-wiki """ params = { "apiKey": self.apikey } data = {} _addkws( data, "attachmentId", attachmentIds ) url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/attachments" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getWikiPageAttachment( self, wikiId, attachmentId, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-wiki-page-attachment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/attachments/" + str( attachmentId ) ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def removeWikiAttachment( self, wikiId, attachmentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/remove-wiki-attachment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/attachments/" + str( attachmentId ) ) return self._api_return( requests.delete( url, params = params ) ) def getListOfSharedFilesOnWiki( self, wikiId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-shared-files-on-wiki """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/sharedFiles" ) return self._api_return( requests.get( url, params = params ) ) def linkSharedFilesToWiki( self, wikiId, fileIds ): """ https://developer.nulab-inc.com/docs/backlog/api/2/link-shared-files-to-wiki """ params = { "apiKey": self.apikey } data = {} _addkws( data, "fileId", fileIds ) url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/sharedFiles" ) return self._api_return( requests.post( url, params = params, data = data ) ) def removeLinkToSharedFileFromWiki( self, wikiId, fileId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/remove-link-to-shared-file-from-wiki """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + \ "/sharedFiles/" + str( fileId ) ) return self._api_return( requests.delete( url, params = params ) ) def getWikiPageHistory( self, wikiId, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-wiki-page-history """ params = { "apiKey": self.apikey } _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + "/history" ) return self._api_return( requests.get( url, params = params ) ) def getWikiPageStar( self, wikiId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-wiki-page-star """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/wikis/" + str( wikiId ) + "/stars" ) return self._api_return( requests.get( url, params = params ) ) def addStar( self, issueId = None, commentId = None, wikiId = None, pullRequestsId = None, pullRequestCommentId = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-star """ params = { "apiKey": self.apikey } data = {} _addkw( data, "issueId", issueId ) _addkw( data, "commentId", commentId ) _addkw( data, "wikiId", wikiId ) _addkw( data, "pullRequestsId", pullRequestsId ) _addkw( data, "pullRequestCommentId", pullRequestCommentId ) url = self._makeurl( "/api/v2/stars" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getNotification( self, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-notification """ params = { "apiKey": self.apikey } _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/notifications" ) return self._api_return( requests.get( url, params = params ) ) def countNotification( self, alreadyRead = None, resourceAlreadyRead = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/count-notification """ params = { "apiKey": self.apikey } _addkw( params, "alreadyRead", alreadyRead ) _addkw( params, "resourceAlreadyRead", resourceAlreadyRead ) url = self._makeurl( "/api/v2/notifications/count" ) return self._api_return( requests.get( url, params = params ) ) def resetUnreadNotificationCount( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/reset-unread-notification-count """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/notifications/markAsRead" ) return self._api_return( requests.post( url, params = params ) ) def readNotification( self, notificationId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/read-notification """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/notifications/" + str( notificationId ) + \ "/markAsRead" ) return self._api_return( requests.post( url, params = params ) ) def getListOfGitRepositories( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-git-repositories """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories" ) return self._api_return( requests.get( url, params = params ) ) def getGitRepository( self, projectIdOrKey, repoIdOrName ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-git-repository """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) ) return self._api_return( requests.get( url, params = params ) ) def getPullRequestList( self, projectIdOrKey, repoIdOrName ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-pull-request-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests" ) return self._api_return( requests.get( url, params = params ) ) def getNumberOfPullRequests( self, projectIdOrKey, repoIdOrName ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-number-of-pull-requests """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/count" ) return self._api_return( requests.get( url, params = params ) ) def addPullRequest( self, projectIdOrKey, repoIdOrName, summary, description, base, branch, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-pull-request """ tuples = ["notifiedUserIds","attachmentIds"] params = { "apiKey": self.apikey } data = { "summary": summary, "description": description , "base": base, "branch ": branch } for k, v in kwargs.items(): _dicset( data, k, v, tuples ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getPullRequest( self, projectIdOrKey, repoIdOrName, number ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-pull-request """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) ) return self._api_return( requests.get( url, params = params ) ) def updatePullRequest( self, projectIdOrKey, repoIdOrName, number, **kwargs ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-pull-request """ tuples = ["notifiedUserIds"] params = { "apiKey": self.apikey } data = {} for k, v in kwargs.items(): _dicset( data, k, v, tuples ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def getPullRequestComment( self, projectIdOrKey, repoIdOrName, number, minId = None, maxId = None, count = None, order = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-pull-request-comment """ params = { "apiKey": self.apikey } _addkw( params, "minId", minId ) _addkw( params, "maxId", maxId ) _addkw( params, "count", count ) _addkw( params, "order", order ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + "/comments" ) return self._api_return( requests.get( url, params = params ) ) def addPullRequestComment( self, projectIdOrKey, repoIdOrName, number, content, notifiedUserIds ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-pull-request-comment """ params = { "apiKey": self.apikey } data = {} _addkw( data, "content", content ) _addkws( data, "notifiedUserId", notifiedUserIds ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + "/comments" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getNumberOfPullRequestComments( self, projectIdOrKey, repoIdOrName, number ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-number-of-pull-request-comments """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + "/comments/count" ) return self._api_return( requests.get( url, params = params ) ) def updatePullRequestComment( self, projectIdOrKey, repoIdOrName, number, commentId, content ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-pull-request-comment """ params = { "apiKey": self.apikey } _addkw( params, "content", content ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + \ "/comments/" + str(commentId) ) return self._api_return( requests.patch( url, params = params ) ) def getListOfPullRequestAttachment( self, projectIdOrKey, repoIdOrName, number ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-pull-request-attachment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + "/attachments" ) return self._api_return( requests.get( url, params = params ) ) def downloadPullRequestAttachment( self, projectIdOrKey, repoIdOrName, number, attachmentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/download-pull-request-attachment """ params = { "apiKey": self.apikey } _addkw( params, "content", content ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + \ "/attachments/" + str(attachmentId) ) return self._api_return( requests.get( url, params = params ) ) def deletePullRequestAttachments( self, projectIdOrKey, repoIdOrName, number, attachmentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-pull-request-attachments """ params = { "apiKey": self.apikey } _addkw( params, "content", content ) url = self._makeurl( "/api/v2/projects/" + str(projectIdOrKey) + \ "/git/repositories/" + str(repoIdOrName) + \ "/pullRequests/" + str(number) + \ "/attachments/" + str(attachmentId) ) return self._api_return( requests.delete( url, params = params ) ) def getWatchingList( self, userId, order = "desc", sort = "issuerUpdated", count = 20, offset = None, resourceAlreadyRead = None, issueIds = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-watching-list """ params = { "apiKey": self.apikey } _addkw( params, "order", order ) _addkw( params, "sort", sort ) _addkw( params, "count", count ) _addkw( params, "offset", offset ) _addkw( params, "resourceAlreadyRead", resourceAlreadyRead ) _addkws( params, "issueIds", issueIds ) url = self._makeurl( "/api/v2/users/" + str(userId) + "/watchings" ) return self._api_return( requests.get( url, params = params ) ) def countWatching( self, userId, resourceAlreadyRead = None, alreadyRead = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/count-watching """ params = { "apiKey": self.apikey } _addkw( params, "resourceAlreadyRead", resourceAlreadyRead ) _addkw( params, "alreadyRead", alreadyRead ) url = self._makeurl( "/api/v2/users/" + str(userId) + "/watchings/count" ) return self._api_return( requests.get( url, params = params ) ) def getWatching( self, watchingId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-watching """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/watchings/" + str(watchingId) ) return self._api_return( requests.get( url, params = params ) ) def addWatching( self, issueIdOrKey, note = None ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-watching """ params = { "apiKey": self.apikey, "issueIdOrKey" : issueIdOrKey } _addkw( params, "note", note ) url = self._makeurl( "/api/v2/watchings" ) return self._api_return( requests.post( url, params = params ) ) def updateWatching( self, watchingId, note ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-watching """ params = { "apiKey": self.apikey } data = { "note" : note } url = self._makeurl( "/api/v2/watchings/" + str(watchingId) ) return self._api_return( requests.patch( url, params = params, data = data ) ) def deleteWatching( self, watchingId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-watching """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/watchings/" + str(watchingId) ) return self._api_return( requests.delete( url, params = params ) ) def markWatchingAsRead( self, watchId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/mark-watching-as-read """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/watchings/" + str(watchId) + "/markAsRead" ) return self._api_return( requests.post( url, params = params ) ) def deleteComment( self, issueIdOrKey, commentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-comment """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/" + str( commentId ) ) return self._api_return( requests.delete( url, params = params ) ) def getListOfCommentNotifications( self, issueIdOrKey, commentId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-list-of-comment-notifications """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/comments/" + str( commentId ) + \ "/notifications" ) return self._api_return( requests.get( url, params = params ) ) def updatePullRequestCommentInformation( self, projectIdOrKey, repoIdOrName, number, commentId, content ): """ https://developer.nulab-inc.com/docs/backlog/api/2/update-pull-request-comment-information """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/git/repositories/" + str( commentId ) + \ "/pullRequests/" + str( number ) + \ "/comments/" + str( commentId ) ) data = { "content": content } return self._api_return( requests.patch( url, params = params, data = data ) ) def linkSharedFilesToIssue( self, issueIdOrKey, fileIds ): """ https://developer.nulab-inc.com/docs/backlog/api/2/link-shared-files-to-issue """ params = { "apiKey": self.apikey } data = {} _addkws( data, "fileId", fileIds ) url = self._makeurl( "/api/v2/issues/" + str( issueIdOrKey ) + \ "/sharedFiles" ) return self._api_return( requests.post( url, params = params, data = data ) ) def getProjectGroupList( self, projectIdOrKey ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-project-group-list """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + "/groups" ) return self._api_return( requests.get( url, params = params ) ) def addProjectGroup( self, projectIdOrKey, groupId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/add-project-group """ params = { "apiKey": self.apikey } data = { "groupId": groupId } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/groups" ) return self._api_return( requests.post( url, params = params, data = data ) ) def deleteProjectGroup( self, projectIdOrKey, groupId ): """ https://developer.nulab-inc.com/docs/backlog/api/2/delete-project-group """ params = { "apiKey": self.apikey } data = { "groupId": groupId } url = self._makeurl( "/api/v2/projects/" + str( projectIdOrKey ) + \ "/groups" ) return self._api_return( requests.delete( url, params = params, data = data ) ) def getGroupIcon( self, groupId, output = "path", dirpath = "." ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-group-icon """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/groups/" + str( groupId ) + "/icon" ) return self._api_return( requests.get( url, params = params, stream = True ), output = output, dirpath = dirpath ) def getLicence( self ): """ https://developer.nulab-inc.com/docs/backlog/api/2/get-licence """ params = { "apiKey": self.apikey } url = self._makeurl( "/api/v2/space/licence" ) return self._api_return( requests.get( url, params = params ) )

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0.526151

6,874

73,707

5.559354

0.061536

0.036635

0.068115

0.07887

0.823499

0.819626

0.807903

0.790161

0.782023

0.762763

0

0.006117

0.339045

73,707

2,052

116

35.919591

0.778311

0.138549

0

0.72887

0

0.109301

0.008063

0

1

0.120502

false

0.003347

0.004184

0.000837

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0

null

0

1

0

1

0

null

0

7

f730bdfa184e875f2155e79716a3aed6b404a24c

1,861

py

Python

tests/config.py

armandomeeuwenoord/freight

31ae2fa9252ab0b25385abd04742475e6671e3b1

[ "Apache-2.0" ]

562

2015-02-20T08:25:24.000Z

2021-11-12T19:58:44.000Z

tests/config.py

armandomeeuwenoord/freight

31ae2fa9252ab0b25385abd04742475e6671e3b1

[ "Apache-2.0" ]

129

2015-02-20T07:41:14.000Z

2022-02-17T21:14:40.000Z

tests/config.py

armandomeeuwenoord/freight

31ae2fa9252ab0b25385abd04742475e6671e3b1

[ "Apache-2.0" ]

54

2015-02-28T01:12:23.000Z

2021-03-02T11:14:52.000Z

SQLALCHEMY_DATABASE_URI = "postgresql:///test_freight" LOG_LEVEL = "INFO" WORKSPACE_ROOT = "/tmp/freight-tests" SSH_PRIVATE_KEY = "-----BEGIN RSA PRIVATE KEY-----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\nCwA7/JPyO8DaUtvpodUKO27vr11G/NmXYrOohCP6VxH/Y6p5L9o4\n-----END RSA PRIVATE KEY-----" GITHUB_TOKEN = "a" * 40

186.1

1,720

0.922085

102

1,861

16.745098

0.921569

0.017564

0.015222

0

0.138495

0.014508

1,861

9

1,721

206.777778

0.792803

0

0.2

0.939817

0.903815

0

1

0

1

0

false

0

1

null

0

1

0

1

null

1

0

7

f7533a18a1b348e933be1af446bfcb6a698ac718

34,794

py

Python

adspygoogle/dfp/zsi/v201010/NetworkService_services_types.py

hockeyprincess/google-api-dfp-python

efa82a8d85cbdc90f030db9d168790c55bd8b12a

[ "Apache-2.0" ]

null

adspygoogle/dfp/zsi/v201010/NetworkService_services_types.py

hockeyprincess/google-api-dfp-python

efa82a8d85cbdc90f030db9d168790c55bd8b12a

[ "Apache-2.0" ]

null

adspygoogle/dfp/zsi/v201010/NetworkService_services_types.py

hockeyprincess/google-api-dfp-python

efa82a8d85cbdc90f030db9d168790c55bd8b12a

[ "Apache-2.0" ]

null

################################################## # NetworkService_services_types.py # generated by ZSI.generate.wsdl2python ################################################## import ZSI import ZSI.TCcompound from ZSI.schema import LocalElementDeclaration, ElementDeclaration, TypeDefinition, GTD, GED ############################## # targetNamespace # https://www.google.com/apis/ads/publisher/v201010 ############################## class ns0: targetNamespace = "https://www.google.com/apis/ads/publisher/v201010" class ApiVersionError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ApiVersionError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.ApiVersionError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","ApiVersionError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.ApiVersionError_Def.__bases__: bases = list(ns0.ApiVersionError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.ApiVersionError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class AuthenticationError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "AuthenticationError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.AuthenticationError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","AuthenticationError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.AuthenticationError_Def.__bases__: bases = list(ns0.AuthenticationError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.AuthenticationError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class CommonError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "CommonError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.CommonError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","CommonError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.CommonError_Def.__bases__: bases = list(ns0.CommonError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.CommonError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class InternalApiError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "InternalApiError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.InternalApiError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","InternalApiError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.InternalApiError_Def.__bases__: bases = list(ns0.InternalApiError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.InternalApiError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class Network_Def(ZSI.TCcompound.ComplexType, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "Network") def __init__(self, pname, ofwhat=(), attributes=None, extend=False, restrict=False, **kw): ns = ns0.Network_Def.schema TClist = [ZSI.TC.String(pname=(ns,"id"), aname="_id", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"displayName"), aname="_displayName", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"networkCode"), aname="_networkCode", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"propertyCode"), aname="_propertyCode", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"timeZone"), aname="_timeZone", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"currencyCode"), aname="_currencyCode", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"effectiveRootAdUnitId"), aname="_effectiveRootAdUnitId", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat ZSI.TCcompound.ComplexType.__init__(self, None, TClist, pname=pname, inorder=0, **kw) class Holder: typecode = self def __init__(self): # pyclass self._id = None self._displayName = None self._networkCode = None self._propertyCode = None self._timeZone = None self._currencyCode = None self._effectiveRootAdUnitId = None return Holder.__name__ = "Network_Holder" self.pyclass = Holder class NotNullError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "NotNullError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.NotNullError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","NotNullError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.NotNullError_Def.__bases__: bases = list(ns0.NotNullError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.NotNullError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class ParseError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ParseError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.ParseError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","ParseError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.ParseError_Def.__bases__: bases = list(ns0.ParseError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.ParseError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class PermissionError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "PermissionError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.PermissionError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","PermissionError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.PermissionError_Def.__bases__: bases = list(ns0.PermissionError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.PermissionError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class QuotaError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "QuotaError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.QuotaError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","QuotaError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.QuotaError_Def.__bases__: bases = list(ns0.QuotaError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.QuotaError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class RequiredError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "RequiredError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.RequiredError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","RequiredError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.RequiredError_Def.__bases__: bases = list(ns0.RequiredError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.RequiredError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class ServerError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ServerError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.ServerError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","ServerError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.ServerError_Def.__bases__: bases = list(ns0.ServerError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.ServerError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class SoapResponseHeader_Def(ZSI.TCcompound.ComplexType, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "SoapResponseHeader") def __init__(self, pname, ofwhat=(), attributes=None, extend=False, restrict=False, **kw): ns = ns0.SoapResponseHeader_Def.schema TClist = [ZSI.TC.String(pname=(ns,"requestId"), aname="_requestId", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"responseTime"), aname="_responseTime", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat ZSI.TCcompound.ComplexType.__init__(self, None, TClist, pname=pname, inorder=0, **kw) class Holder: typecode = self def __init__(self): # pyclass self._requestId = None self._responseTime = None return Holder.__name__ = "SoapResponseHeader_Holder" self.pyclass = Holder class StatementError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "StatementError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.StatementError_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","StatementError.Reason",lazy=False)(pname=(ns,"reason"), aname="_reason", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.StatementError_Def.__bases__: bases = list(ns0.StatementError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.StatementError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class TypeError_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "TypeError") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.TypeError_Def.schema TClist = [] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApiError_Def not in ns0.TypeError_Def.__bases__: bases = list(ns0.TypeError_Def.__bases__) bases.insert(0, ns0.ApiError_Def) ns0.TypeError_Def.__bases__ = tuple(bases) ns0.ApiError_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class SoapRequestHeader_Def(ZSI.TCcompound.ComplexType, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "SoapRequestHeader") def __init__(self, pname, ofwhat=(), attributes=None, extend=False, restrict=False, **kw): ns = ns0.SoapRequestHeader_Def.schema TClist = [ZSI.TC.String(pname=(ns,"authToken"), aname="_authToken", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"networkCode"), aname="_networkCode", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"applicationName"), aname="_applicationName", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"oAuthToken"), aname="_oAuthToken", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat ZSI.TCcompound.ComplexType.__init__(self, None, TClist, pname=pname, inorder=0, **kw) class Holder: typecode = self def __init__(self): # pyclass self._authToken = None self._networkCode = None self._applicationName = None self._oAuthToken = None return Holder.__name__ = "SoapRequestHeader_Holder" self.pyclass = Holder class ApiError_Def(ZSI.TCcompound.ComplexType, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ApiError") def __init__(self, pname, ofwhat=(), attributes=None, extend=False, restrict=False, **kw): ns = ns0.ApiError_Def.schema TClist = [ZSI.TC.String(pname=(ns,"fieldPath"), aname="_fieldPath", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"trigger"), aname="_trigger", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"errorString"), aname="_errorString", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"ApiError.Type"), aname="_ApiError_Type", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat ZSI.TCcompound.ComplexType.__init__(self, None, TClist, pname=pname, inorder=0, **kw) class Holder: typecode = self def __init__(self): # pyclass self._fieldPath = None self._trigger = None self._errorString = None self._ApiError_Type = None return Holder.__name__ = "ApiError_Holder" self.pyclass = Holder class ApiException_Def(TypeDefinition): #complexType/complexContent extension schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ApiException") def __init__(self, pname, ofwhat=(), extend=False, restrict=False, attributes=None, **kw): ns = ns0.ApiException_Def.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","ApiError",lazy=False)(pname=(ns,"errors"), aname="_errors", minOccurs=0, maxOccurs="unbounded", nillable=True, typed=False, encoded=kw.get("encoded"))] attributes = self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat if ns0.ApplicationException_Def not in ns0.ApiException_Def.__bases__: bases = list(ns0.ApiException_Def.__bases__) bases.insert(0, ns0.ApplicationException_Def) ns0.ApiException_Def.__bases__ = tuple(bases) ns0.ApplicationException_Def.__init__(self, pname, ofwhat=TClist, extend=True, attributes=attributes, **kw) class ApplicationException_Def(ZSI.TCcompound.ComplexType, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ApplicationException") def __init__(self, pname, ofwhat=(), attributes=None, extend=False, restrict=False, **kw): ns = ns0.ApplicationException_Def.schema TClist = [ZSI.TC.String(pname=(ns,"message"), aname="_message", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded")), ZSI.TC.String(pname=(ns,"ApplicationException.Type"), aname="_ApplicationException_Type", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] self.attribute_typecode_dict = attributes or {} if extend: TClist += ofwhat if restrict: TClist = ofwhat ZSI.TCcompound.ComplexType.__init__(self, None, TClist, pname=pname, inorder=0, **kw) class Holder: typecode = self def __init__(self): # pyclass self._message = None self._ApplicationException_Type = None return Holder.__name__ = "ApplicationException_Holder" self.pyclass = Holder class ApiVersionError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ApiVersionError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class AuthenticationError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "AuthenticationError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class CommonError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "CommonError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class InternalApiError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "InternalApiError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class NotNullError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "NotNullError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class ParseError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ParseError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class PermissionError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "PermissionError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class QuotaError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "QuotaError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class RequiredError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "RequiredError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class ServerError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "ServerError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class StatementError_Reason_Def(ZSI.TC.String, TypeDefinition): schema = "https://www.google.com/apis/ads/publisher/v201010" type = (schema, "StatementError.Reason") def __init__(self, pname, **kw): ZSI.TC.String.__init__(self, pname, pyclass=None, **kw) class Holder(str): typecode = self self.pyclass = Holder class getAllNetworks_Dec(ZSI.TCcompound.ComplexType, ElementDeclaration): literal = "getAllNetworks" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): ns = ns0.getAllNetworks_Dec.schema TClist = [] kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","getAllNetworks") kw["aname"] = "_getAllNetworks" self.attribute_typecode_dict = {} ZSI.TCcompound.ComplexType.__init__(self,None,TClist,inorder=0,**kw) class Holder: typecode = self def __init__(self): # pyclass return Holder.__name__ = "getAllNetworks_Holder" self.pyclass = Holder class getAllNetworksResponse_Dec(ZSI.TCcompound.ComplexType, ElementDeclaration): literal = "getAllNetworksResponse" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): ns = ns0.getAllNetworksResponse_Dec.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","Network",lazy=False)(pname=(ns,"rval"), aname="_rval", minOccurs=0, maxOccurs="unbounded", nillable=True, typed=False, encoded=kw.get("encoded"))] kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","getAllNetworksResponse") kw["aname"] = "_getAllNetworksResponse" self.attribute_typecode_dict = {} ZSI.TCcompound.ComplexType.__init__(self,None,TClist,inorder=0,**kw) class Holder: typecode = self def __init__(self): # pyclass self._rval = [] return Holder.__name__ = "getAllNetworksResponse_Holder" self.pyclass = Holder class ApiExceptionFault_Dec(ElementDeclaration): literal = "ApiExceptionFault" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","ApiExceptionFault") kw["aname"] = "_ApiExceptionFault" if ns0.ApiException_Def not in ns0.ApiExceptionFault_Dec.__bases__: bases = list(ns0.ApiExceptionFault_Dec.__bases__) bases.insert(0, ns0.ApiException_Def) ns0.ApiExceptionFault_Dec.__bases__ = tuple(bases) ns0.ApiException_Def.__init__(self, **kw) if self.pyclass is not None: self.pyclass.__name__ = "ApiExceptionFault_Dec_Holder" class getCurrentNetwork_Dec(ZSI.TCcompound.ComplexType, ElementDeclaration): literal = "getCurrentNetwork" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): ns = ns0.getCurrentNetwork_Dec.schema TClist = [] kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","getCurrentNetwork") kw["aname"] = "_getCurrentNetwork" self.attribute_typecode_dict = {} ZSI.TCcompound.ComplexType.__init__(self,None,TClist,inorder=0,**kw) class Holder: typecode = self def __init__(self): # pyclass return Holder.__name__ = "getCurrentNetwork_Holder" self.pyclass = Holder class getCurrentNetworkResponse_Dec(ZSI.TCcompound.ComplexType, ElementDeclaration): literal = "getCurrentNetworkResponse" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): ns = ns0.getCurrentNetworkResponse_Dec.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","Network",lazy=False)(pname=(ns,"rval"), aname="_rval", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","getCurrentNetworkResponse") kw["aname"] = "_getCurrentNetworkResponse" self.attribute_typecode_dict = {} ZSI.TCcompound.ComplexType.__init__(self,None,TClist,inorder=0,**kw) class Holder: typecode = self def __init__(self): # pyclass self._rval = None return Holder.__name__ = "getCurrentNetworkResponse_Holder" self.pyclass = Holder class updateNetwork_Dec(ZSI.TCcompound.ComplexType, ElementDeclaration): literal = "updateNetwork" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): ns = ns0.updateNetwork_Dec.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","Network",lazy=False)(pname=(ns,"network"), aname="_network", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","updateNetwork") kw["aname"] = "_updateNetwork" self.attribute_typecode_dict = {} ZSI.TCcompound.ComplexType.__init__(self,None,TClist,inorder=0,**kw) class Holder: typecode = self def __init__(self): # pyclass self._network = None return Holder.__name__ = "updateNetwork_Holder" self.pyclass = Holder class updateNetworkResponse_Dec(ZSI.TCcompound.ComplexType, ElementDeclaration): literal = "updateNetworkResponse" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): ns = ns0.updateNetworkResponse_Dec.schema TClist = [GTD("https://www.google.com/apis/ads/publisher/v201010","Network",lazy=False)(pname=(ns,"rval"), aname="_rval", minOccurs=0, maxOccurs=1, nillable=True, typed=False, encoded=kw.get("encoded"))] kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","updateNetworkResponse") kw["aname"] = "_updateNetworkResponse" self.attribute_typecode_dict = {} ZSI.TCcompound.ComplexType.__init__(self,None,TClist,inorder=0,**kw) class Holder: typecode = self def __init__(self): # pyclass self._rval = None return Holder.__name__ = "updateNetworkResponse_Holder" self.pyclass = Holder class RequestHeader_Dec(ElementDeclaration): literal = "RequestHeader" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","RequestHeader") kw["aname"] = "_RequestHeader" if ns0.SoapRequestHeader_Def not in ns0.RequestHeader_Dec.__bases__: bases = list(ns0.RequestHeader_Dec.__bases__) bases.insert(0, ns0.SoapRequestHeader_Def) ns0.RequestHeader_Dec.__bases__ = tuple(bases) ns0.SoapRequestHeader_Def.__init__(self, **kw) if self.pyclass is not None: self.pyclass.__name__ = "RequestHeader_Dec_Holder" class ResponseHeader_Dec(ElementDeclaration): literal = "ResponseHeader" schema = "https://www.google.com/apis/ads/publisher/v201010" def __init__(self, **kw): kw["pname"] = ("https://www.google.com/apis/ads/publisher/v201010","ResponseHeader") kw["aname"] = "_ResponseHeader" if ns0.SoapResponseHeader_Def not in ns0.ResponseHeader_Dec.__bases__: bases = list(ns0.ResponseHeader_Dec.__bases__) bases.insert(0, ns0.SoapResponseHeader_Def) ns0.ResponseHeader_Dec.__bases__ = tuple(bases) ns0.SoapResponseHeader_Def.__init__(self, **kw) if self.pyclass is not None: self.pyclass.__name__ = "ResponseHeader_Dec_Holder" # end class ns0 (tns: https://www.google.com/apis/ads/publisher/v201010)

57.701493

1,029

0.631086

3,730

34,794

5.644772

0.034316

0.033056

0.043885

0.053289

0.835051

0.773308

0.75184

0.742104

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0

0.023248

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34,794

602

1,030

57.797342

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1

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false

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1

0

1

0

null

0

8

f76acc881f9a49f22f6eeaeba9e6b78a515b1b65

916

py

Python

chris/tests/mocks/data/pagination.py

FNNDSC/caw

a41761c4502481f6ccb60ef6e9956464c9b30eb9

[ "MIT" ]

null

chris/tests/mocks/data/pagination.py

FNNDSC/caw

a41761c4502481f6ccb60ef6e9956464c9b30eb9

[ "MIT" ]

11

2021-04-23T21:25:29.000Z

2022-03-14T02:40:26.000Z

chris/tests/mocks/data/pagination.py

FNNDSC/caw

a41761c4502481f6ccb60ef6e9956464c9b30eb9

[ "MIT" ]

1

2021-10-17T16:18:30.000Z

responses = { 'https://example.com/api/v1/something/': { 'count': 5, 'next': 'https://example.com/api/v1/something/?limit=3&offset=3', 'previous': None, 'results': [ {'id': 1}, {'id': 2}, {'id': 3} ], 'collection_links': {} }, 'https://example.com/api/v1/something/?limit=3&offset=3': { 'count': 5, 'next': 'https://example.com/api/v1/something/?limit=3&offset=6', 'previous': 'https://example.com/api/v1/something/?limit=3', 'results': [ {'id': 4}, {'id': 5}, {'id': 6} ], 'collection_links': {} }, 'https://example.com/api/v1/something/?limit=3&offset=6': { 'count': 5, 'next': None, 'previous': 'https://example.com/api/v1/something/?limit=3', 'results': [ {'id': 7}, {'id': 8} ], 'collection_links': {} }, }

30.533333

73

0.470524

102

916

4.196078

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0.196262

0.245327

0.294393

0.820093

0.752336

0

0.043077

0.290393

916

29

74

31.586207

0.615385

0

0.482759

0

0.522926

0

1

0

false

0

null

0

1

0

null

0

8

e3902aedb74095cdf76b9f64f401c524945c425d

38,575

py

Python

torch/core/ops/math_ops.py

seetaresearch/dragon

fb47d86f5def9bbcc7f374800bf85e74111ae4b4

[ "BSD-2-Clause" ]

30

2020-06-22T11:43:28.000Z

2022-03-23T02:33:39.000Z

torch/core/ops/math_ops.py

seetaresearch/dragon

fb47d86f5def9bbcc7f374800bf85e74111ae4b4

[ "BSD-2-Clause" ]

1

2020-11-05T10:15:33.000Z

torch/core/ops/math_ops.py

seetaresearch/dragon

fb47d86f5def9bbcc7f374800bf85e74111ae4b4

[ "BSD-2-Clause" ]

4

2020-11-05T09:15:03.000Z

2021-04-01T02:30:38.000Z

# ------------------------------------------------------------ # Copyright (c) 2017-present, SeetaTech, Co.,Ltd. # # Licensed under the BSD 2-Clause License. # You should have received a copy of the BSD 2-Clause License # along with the software. If not, See, # # <https://opensource.org/licenses/BSD-2-Clause> # # ------------------------------------------------------------ """Math ops.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from dragon.core.util import nest from dragon.vm.torch.core.autograd.function import Function from dragon.vm.torch.core.ops import constant_ops def abs(input, out=None): r"""Compute the absolute value of input. .. math:: \text{out} = \left| \text{input} \right| Examples: ```python print(torch.abs(torch.tensor([-1, 0, 1]))) # [1, 0, 1] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Abs', out) def add(input, other, out=None): r"""Compute the element-wise addition. .. math:: \text{out} = \text{input} + \text{other} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to add. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Add', out) def addmm(input, mat1, mat2, beta=1, alpha=1, out=None): r"""Add input to the result of matrix-matrix multiplication. .. math:: \text{out} = \alpha (\text{mat1} \times \text{mat2}) + \beta \text{input} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. mat1 : dragon.vm.torch.Tensor The first matrix. mat2 : dragon.vm.torch.Tensor The second matrix. beta : float, optional, default=1 The value to :math:`\beta`. alpha : float, optional, default=1 The value to :math:`\alpha`. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return Function.apply( 'Gemm', input.device, [mat1, mat2, input], outputs=[out], alpha=float(alpha), beta=float(beta)) def argmax(input, dim, keepdim=False, out=None): """Return the index of maximum elements along the given dimension. :attr:`dim` could be negative: ```python # A negative dimension is the last-k dimension x = torch.tensor([[1, 2, 3], [4, 5, 6]]) print(torch.argmax(x, dim=1)) print(torch.argmax(x, dim=-1)) # Equivalent ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : int The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The index of maximum elements. """ return Function.apply( 'ArgMax', input.device, [input], outputs=[out], axis=dim, keepdims=keepdim) def argmin(input, dim, keepdim=False, out=None): """Return the index of minimum elements along the given dimension. :attr:`dim` could be negative: ```python # A negative dimension is the last-k dimension x = torch.tensor([[1, 2, 3], [4, 5, 6]]) print(torch.argmin(x, dim=1)) print(torch.argmin(x, dim=-1)) # Equivalent ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : int, optional The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The index of minimum elements. """ return Function.apply( 'ArgMin', input.device, [input], outputs=[out], axis=dim, keepdims=keepdim) def baddbmm(input, batch1, batch2, beta=1, alpha=1, out=None): r"""Add input to the result of batched matrix-matrix multiplication. .. math:: \text{out}_{i} = \alpha (\text{mat1}_{i} \times \text{mat2}_{i}) + \beta \text{input}_{i} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. batch1 : dragon.vm.torch.Tensor The first batch of matrices. batch2 : dragon.vm.torch.Tensor The second batch of matrices. beta : float, optional, default=1 The value to :math:`\beta`. alpha : float, optional, default=1 The value to :math:`\alpha`. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ input1 = bmm(batch1, batch2) input2 = input * beta if beta != 1 else input input1 = input1 * alpha if alpha != 1 else input1 return add(input1, input2, out) def bitwise_and(input, other, out=None): r"""Compute the element-wise AND bitwise operation. .. math:: \text{out} = \text{input} \mathbin{\&} \text{other} Examples: ```python a = torch.tensor([0, -1, 2, -3, 4]) b = torch.tensor([-4, 3, -2, 1, 0]) print(torch.bitwise_and(a, b)) # [0, 3, 2, 1, 0] ``` Parameters ---------- input : dragon.vm.torch.Tensor The first input tensor. other : dragon.vm.torch.Tensor The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'BitwiseAnd', out) def bitwise_not(input, out=None): r"""Compute the element-wise NOT bitwise operation. .. math:: \text{out} = \,\,\sim \text{input} Examples: ```python # Typically, ``x`` is a bool tensor print(torch.bitwise_not(torch.tensor([0, 1], 'bool'))) # [True, False] # Otherwise, integral types are required (unsigned or signed) # 00001101 (13) -> 11110010 (?) print(torch.bitwise_not(torch.tensor(13, 'uint8'))) # 242 print(torch.bitwise_not(torch.tensor(13, 'int8'))) # -14 ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'BitwiseNot', out) def bitwise_or(input, other, out=None): r"""Compute the element-wise OR bitwise operation. .. math:: \text{out} = \text{input} \mathbin{|} \text{other} Examples: ```python a = torch.tensor([0, -1, 2, -3, 4]) b = torch.tensor([-4, 3, -2, 1, 0]) print(torch.bitwise_or(a, b)) # [-4, -1, -2, -3, 4] ``` Parameters ---------- input : dragon.vm.torch.Tensor The first input tensor. other : dragon.vm.torch.Tensor The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'BitwiseOr', out) def bitwise_xor(input, other, out=None): r"""Compute the element-wise XOR bitwise operation. .. math:: \text{out} = \text{input} \oplus \text{other} Examples: ```python a = torch.tensor([0, -1, 2, -3, 4]) b = torch.tensor([-4, 3, -2, 1, 0]) print(torch.bitwise_xor(a, b)) # [-4, -4, -4, -4, 4] ``` Parameters ---------- input : dragon.vm.torch.Tensor The first input tensor. other : dragon.vm.torch.Tensor The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'BitwiseXor', out) def bmm(input, mat2, out=None): r"""Compute the batched matrix-matrix multiplication. .. math:: \text{out}_{i} = \text{input}_{i} \times \text{mat2}_{i} Parameters ---------- input : dragon.vm.torch.Tensor The first batch of matrices. mat2 : dragon.vm.torch.Tensor The second batch of matrices. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return Function.apply( 'MatMul', input.device, [input, mat2], outputs=[out]) def cast(input, dtype='float32', out=None): """Cast the data type of input. Parameters ---------- input : dragon.vm.torch.Tensor The input. dtype : str, optional, default='float32' The data type to cast to. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return Function.apply( 'Cast', input.device, [input], outputs=[out], dtype=dtype) def ceil(input, out=None): r"""Compute the smallest integer not less than input. .. math:: \text{out} = \lceil \text{input} \rceil Examples: ```python x = torch.tensor([1.4, 1.7, 2.0]) print(torch.ceil(x)) # [2., 2., 2.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Ceil', out) def clamp(input, min=None, max=None, out=None): r"""Compute the clipped input according to the given bounds. .. math:: \text{out} = \min(\max(\text{input}, low), high) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. min : number, optional The min value. max : number, optional The max value. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ low = float(min) if min is not None else None high = float(max) if max is not None else None return Function.apply( 'Clip', input.device, [input], outputs=[out], low=low, high=high) def cos(input, out=None): r"""Compute the cos of input. .. math:: \text{out} = \cos(\text{input}) Examples: ```python x = torch.tensor([0., math.pi]) print(torch.cos(x)) # [1., -1.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Cos', out) def cumsum(input, dim, out=None): """Compute the cumulative sum of elements along the given dimension. :attr:`dim` could be negative: ```python # A negative dimension is the last-k dimension x = torch.tensor([[1, 2, 3], [4, 5, 6]]) print(torch.cumsum(x, dim=1)) # [[1, 3, 6], [4, 9, 15]] print(torch.cumsum(x, dim=-1)) # Equivalent ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : int The cumulative dimension. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return Function.apply( 'CumSum', input.device, [input], outputs=[out], axis=dim) def div(input, other, out=None): r"""Compute the element-wise division. .. math:: \text{out} = \text{input} \div \text{other} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to divide. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Div', out) def eq(input, other, out=None): r"""Compute the element-wise equal comparison. .. math:: \text{out} = (\text{input} == \text{other}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to compare. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Equal', out) def exp(input, out=None): r"""Compute the exponential of input. .. math:: \text{out} = \exp(\text{input}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Exp', out) def floor(input, out=None): r"""Compute the largest integer not greater than input. .. math:: \text{out} = \lfloor \text{input} \rfloor Examples: ```python x = torch.tensor([0.9, 1.4, 1.9]) print(torch.floor(x)) # [0., 1., 1.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Floor', out) def ge(input, other, out=None): r"""Compute the element-wise greater-equal comparison. .. math:: \text{out} = (\text{input} \geq \text{other}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to compare. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'GreaterEqual', out) def gt(input, other, out=None): r"""Compute the element-wise greater comparison. .. math:: \text{out} = (\text{input} > \text{other}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to compare. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output byte tensor. """ return _binary_func(input, other, 'Greater', out) def isfinite(input): r"""Check if the elements of input are finite. .. math:: \text{out} = \text{isfinite}(\text{input}) Examples: ```python x = torch.tensor([0., float('nan'), float('inf')]) print(torch.isfinite(x)) # [True, False, False] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'IsFinite') def isinf(input): r"""Check if the elements of input are infinite. .. math:: \text{out} = \text{isinf}(\text{input}) Examples: ```python x = torch.tensor([0., 1., float('inf')]) print(torch.isinf(x)) # [False, False, True] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'IsInf') def isnan(input): r"""Check if the elements of input are NaN. .. math:: \text{out} = \text{isnan}(\text{input}) Examples: ```python x = torch.tensor([0., 1., float('nan')]) print(torch.isnan(x)) # [False, False, True] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'IsNaN') def le(input, other, out=None): r"""Compute the element-wise less-equal comparison. .. math:: \text{out} = (\text{input} \leq \text{other}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to compare. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output byte tensor. """ return _binary_func(input, other, 'LessEqual', out) def log(input, out=None): r"""Compute the natural logarithm of input. .. math:: \text{out} = \log(\text{input}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Log', out) def logical_and(input, other, out=None): r"""Compute the element-wise AND logical operation. .. math:: \text{out} = \text{input} \mathbin{\&} \text{other} Examples: ```python a = torch.tensor([False, True, False, True]) b = torch.tensor([False, True, True, False]) c = torch.Tensor([0, 1, 0, 2]) d = torch.Tensor([0, 3, 4, 0]) print(torch.logical_and(a, b)) # [False, True, False, False] print(torch.logical_and(c, d)) # [False, True, False, False] ``` Parameters ---------- input : dragon.vm.torch.Tensor The first input tensor. other : dragon.vm.torch.Tensor The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'And', out) def logical_not(input, out=None): r"""Compute the element-wise NOT logical operation. .. math:: \text{out} = \,\,\sim \text{input} Examples: ```python a = torch.tensor([False, True, True]) b = torch.tensor([0, 1, 2]) print(torch.logical_not(a)) # [True, False, False] print(torch.logical_not(b)) # [True, False, False] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Not', out) def logical_or(input, other, out=None): r"""Compute the element-wise OR logical operation. .. math:: \text{out} = \text{input} \mathbin{|} \text{other} Examples: ```python a = torch.tensor([False, True, False, True]) b = torch.tensor([False, True, True, False]) c = torch.Tensor([0, 1, 0, 2]) d = torch.Tensor([0, 3, 4, 0]) print(torch.logical_or(a, b)) # [False, True, True, True] print(torch.logical_or(c, d)) # [False, True, True, True] ``` Parameters ---------- input : dragon.vm.torch.Tensor The first input tensor. other : dragon.vm.torch.Tensor The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Or', out) def logical_xor(input, other, out=None): r"""Compute the element-wise XOR logical operation. .. math:: \text{out} = \text{input} \oplus \text{other} Examples: ```python a = torch.tensor([False, True, False, True]) b = torch.tensor([False, True, True, False]) c = torch.Tensor([0, 1, 0, 2]) d = torch.Tensor([0, 3, 4, 0]) print(torch.logical_xor(a, b)) # [False, False, True, True] print(torch.logical_xor(c, d)) # [False, False, True, True] ``` Parameters ---------- input : dragon.vm.torch.Tensor The first input tensor. other : dragon.vm.torch.Tensor The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Xor', out) def logsumexp(input, dim, keepdim=False, out=None): r"""Apply the composite of log, sum, and exp to input. .. math:: \text{out}_{i} = \log\sum_{j}\exp(\text{input}_{ij}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : Union[int, Sequence[int]] The dimension(s) to reduce. keepdim : bool, optional, default=False Whether the output tensor has dim retained or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return log(exp(input).sum(dim, keepdim), out) def lt(input, other, out=None): r"""Compute the element-wise less comparison. .. math:: \text{out} = (\text{input} < \text{other}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to compare. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output byte tensor. """ return _binary_func(input, other, 'Less', out) def matmul(input, other, out=None): r"""Compute the matrix multiplication. .. math:: \text{out} = \text{input} \times \text{other} The behavior depends on the shape of input tensors: * If both tensors are 1d, computes the vector product. * If tensors are 1d and >=2d, computes the vector-matrix multiplication. * If tensors are >=2d and 1d, computes the matrix-vector multiplication. * If both tensors are >= 2d, computes the matrix-matrix multiplication. * If one tensor is >= 3d, applies batching and broadcasting to the computation. Examples: ```python # Vector x Vector a = torch.ones(2) b = torch.ones(2) print(torch.matmul(a, b)) # Vector x Matrix a = torch.ones(2) b = torch.ones(2, 3) print(torch.matmul(a, b)) # Matrix x Vector a = torch.ones(3, 2) b = torch.ones(2) print(torch.matmul(a, b)) # Matrix x Matrix a = torch.ones(2, 3) b = torch.ones(3, 2) print(torch.matmul(a, b)) ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : dragon.vm.torch.Tensor The tensor to multiply. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return Function.apply( 'MatMul', input.device, [input, other], outputs=[out]) def max(input, dim=None, keepdim=False, out=None): """Compute the max value of elements along the given dimension. :attr:`dim` could be negative or ``None``: ```python x = torch.tensor([[1, 2, 3], [4, 5, 6]]) # A negative dimension is the last-k dimension print(torch.max(x, dim=1)) print(torch.max(x, dim=-1)) # Equivalent # If dimension is None, reduce input as a vector # and return a scalar result print(torch.max(x)) # 6 # Also, dimension could be a sequence of integers print(torch.max(x, (0, 1))) # 6 ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : Union[int, Sequence[int]], optional The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ keepdim = keepdim if dim is not None else False dim = nest.flatten(dim) if dim is not None else dim return Function.apply( 'ReduceMax', input.device, [input], outputs=[out], axes=dim, keepdims=keepdim) def maximum(input, other, out=None): r"""Compute the maximum value of inputs. .. math:: \text{out} = \max(\text{input}, \text{other}) Parameters ---------- input : Union[dragon.vm.torch.Tensor, number] The first input tensor. other : Union[dragon.vm.torch.Tensor, number] The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Maximum', out) def mean(input, dim=None, keepdim=False, out=None): """Compute the mean value of elements along the given dimension. :attr:`dim` could be negative or ``None``: ```python x = torch.tensor([[1., 2., 3.], [4., 5., 6.]]) # A negative dimension is the last-k dimension print(torch.mean(x, dim=1)) print(torch.mean(x, dim=-1)) # Equivalent # If dimension is None, reduce input as a vector # and return a scalar result print(torch.mean(x)) # 3.5 # Also, dimension could be a sequence of integers print(torch.mean(x, dim=(0, 1))) # 3.5 ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : Union[int, Sequence[int]], optional The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ keepdim = keepdim if dim is not None else False dim = nest.flatten(dim) if dim is not None else dim return Function.apply( 'ReduceMean', input.device, [input], outputs=[out], axes=dim, keepdims=keepdim) def min(input, dim=None, keepdim=False, out=None): """Compute the min value of elements along the given dimension. :attr:`dim` could be negative or ``None``: ```python x = torch.tensor([[1, 2, 3], [4, 5, 6]]) # A negative dimension is the last-k dimension print(torch.min(x, dim=1)) print(torch.min(x, dim=-1)) # Equivalent # If dimension is None, reduce input as a vector # and return a scalar result print(torch.min(x)) # 1 # Also, dimension could be a sequence of integers print(torch.min(x, (0, 1))) # 1 ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : Union[int, Sequence[int]], optional The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ keepdim = keepdim if dim is not None else False dim = nest.flatten(dim) if dim is not None else dim return Function.apply( 'ReduceMin', input.device, [input], outputs=[out], axes=dim, keepdims=keepdim) def minimum(input, other, out=None): r"""Compute the minimum value of inputs. .. math:: \text{out} = \min(\text{input}, \text{other}) Parameters ---------- input : Union[dragon.vm.torch.Tensor, number] The first input tensor. other : Union[dragon.vm.torch.Tensor, number] The second input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Minimum', out) def mm(input, mat2, out=None): r"""Compute the matrix-matrix multiplication. .. math:: \text{out} = \text{input} \times \text{mat2} Parameters ---------- input : dragon.vm.torch.Tensor The first matrix. mat2 : dragon.vm.torch.Tensor The second matrix. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return Function.apply( 'Gemm', input.device, [input, mat2], outputs=[out]) def mul(input, other, out=None): r"""Compute the element-wise multiplication. .. math:: \text{out} = \text{input} \times \text{other} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to multiply. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Mul', out) def ne(input, other, out=None): r"""Compute the element-wise not-equal comparison. .. math:: \text{out} = (\text{input} \neq \text{other}) Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to compare. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output byte tensor. """ return _binary_func(input, other, 'NotEqual', out) def neg(input, out=None): r"""Compute the element-wise negative. .. math:: \text{out} = -\text{input} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Neg', out) def norm(input, p='fro', dim=None, keepdim=False, out=None, dtype=None): """Compute the norm value of elements along the given dimension. :attr:`dim` could be negative or ``None``: ```python x = torch.tensor([[1., 2., 3.], [4., 5., 6.]]) # A negative dimension is the last-k axis print(torch.norm(x, dim=1)) print(torch.norm(x, dim=-1)) # Equivalent # If ``dim`` is None, the vector-style reduction # will be applied to return a scalar result print(torch.norm(x)) # 9.539 # Also, ``dim`` could be a sequence of integers print(torch.norm(x, dim=(0, 1))) # 9.539 ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. p : {'fro', 1, 2}, optional The norm order. dim : Union[int, Sequence[int]], optional The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. dtype : str, optional The data type to cast to. Returns ------- dragon.vm.torch.Tensor The output tensor. """ if p is None or p == 2 or p == 'fro': op_type = 'ReduceL2' elif p == 1: op_type = 'ReduceL1' else: raise ValueError('Unsupported norm order: ' + str(p)) input = input.to(dtype=dtype) keepdim = keepdim if dim is not None else False dim = nest.flatten(dim) if dim is not None else dim return Function.apply( op_type, input.device, [input], outputs=[out], axes=dim, keepdims=keepdim) def pow(input, exponent, out=None): r"""Compute the power of input. .. math:: \text{out} = \text{input}^{\text{exponent}} The two inputs should be broadcast to each other: ```python x = torch.tensor([[2, 2]]) print(torch.pow(x, x)) # [[4, 4]] print(torch.pow(x, 3)) # [[8, 8]] print(torch.pow(3, x)) # [[9, 9]] ``` Parameters ---------- input : Union[dragon.vm.torch.Tensor, number] The input tensor. exponent : Union[dragon.vm.torch.Tensor, number] The exponent tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, exponent, 'Pow', out) def reciprocal(input, out=None): r"""Compute the reciprocal of input. .. math:: \text{out} = \frac{1}{\text{input}} Examples: ```python x = torch.tensor([0., 1., 2.]) print(torch.reciprocal(x)) # [inf, 1., 0.5] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Reciprocal', out) def round(input, out=None): r"""Compute the nearest integer of input. .. math:: \text{out} = \lfloor \text{input} \rceil Examples: ```python x = torch.tensor([0.9, 1.4, 1.9]) print(torch.round(x)) # [1., 1., 2.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Round', out) def rsqrt(input, out=None): r"""Compute the reciprocal square root of input. .. math:: \text{out} = \frac{1}{\sqrt{\text{input}}} Examples: ```python x = torch.tensor([0., 4., 16.]) print(torch.rsqrt(x)) # [inf, 0.5, 0.25] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Rsqrt', out) def sign(input, out=None): r"""Compute the sign indication of input. .. math:: \text{out}_{i} = \begin{cases} -1, & \text{ if } \text{input}_{i} < 0 \\ 0, & \text{ if } \text{input}_{i} = 0 \\ 1, & \text{ if } \text{input}_{i} > 0 \end{cases} Examples: ```python x = torch.tensor([-2, 0, 2]) print(torch.sign(x)) # [-1, 0, 1] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Sign', out) def sin(input, out=None): r"""Compute the sin of input. .. math:: \text{out} = \sin(\text{input}) Examples: ```python x = torch.tensor([0., math.pi / 2]) print(torch.sin(x)) # [0., 1.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Sin', out) def sqrt(input, out=None): r"""Compute the square root of input. .. math:: \text{out} = \sqrt{\text{input}} Examples: ```python x = torch.tensor([4., 9., 16.]) print(torch.sqrt(x)) # [2., 3., 4.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Sqrt', out) def square(input, out=None): r"""Compute the square of input. .. math:: \text{out} = \text{input}^{2} Examples: ```python x = torch.tensor([2., 3., 4.]) print(torch.square(x)) # [4., 9., 16.] ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _unary_func(input, 'Square', out) def sub(input, other, out=None): r"""Compute the element-wise subtraction. .. math:: \text{out} = \text{input} - \text{other} Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. other : Union[dragon.vm.torch.Tensor, number] The tensor to subtract. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ return _binary_func(input, other, 'Sub', out) def sum(input, dim=None, keepdim=False, out=None): """Compute the sum value of elements along the given dimension. :attr:`dim` could be negative or ``None``: ```python x = torch.tensor([[1, 2, 3], [4, 5, 6]]) # A negative dimension is the last-k dimension print(torch.sum(x, dim=1)) print(torch.sum(x, dim=-1)) # Equivalent # If dimension is None, reduce input as a vector # and return a scalar result print(torch.sum(x)) # 21 # Also, dimension could be a sequence of integers print(torch.sum(x, (0, 1))) # 21 ``` Parameters ---------- input : dragon.vm.torch.Tensor The input tensor. dim : Union[int, Sequence[int]], optional The dimension to reduce. keepdim : bool, optional, default=False Keep the reduced dimension or not. out : dragon.vm.torch.Tensor, optional The output tensor. Returns ------- dragon.vm.torch.Tensor The output tensor. """ keepdim = keepdim if dim is not None else False dim = nest.flatten(dim) if dim is not None else dim return Function.apply( 'ReduceSum', input.device, [input], outputs=[out], axes=dim, keepdims=keepdim) def _binary_func(input, value, op_type, out=None): """Compute a binary function.""" input, value = constant_ops.remove_scalars(input, value) return Function.apply( op_type, input.device, [input, value], outputs=[out]) def _unary_func(input, op_type, out=None): """Compute an unary function.""" return Function.apply( op_type, input.device, [input], outputs=[out])

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Python

moca_bot/__init__.py

el-ideal-ideas/MendakoDiscordBot

bc9fe8e85465671a509bee701b5f8eee9a6044d3

[ "MIT" ]

1

2020-07-09T06:48:45.000Z

moca_bot/__init__.py

el-ideal-ideas/ShirotakoDiscordBot

432b998b1ba255b6c626f3297fc92d3be0159ed1

[ "MIT" ]

null

moca_bot/__init__.py

el-ideal-ideas/ShirotakoDiscordBot

432b998b1ba255b6c626f3297fc92d3be0159ed1

[ "MIT" ]

null

# Ω* # ■ ■■■■■ # ■ ■■ ■■ # ■ ■■ ■ # ■ ■■ # ■■■■■ ■ ■■■ # ■■ ■■ ■ ■■■ # ■■ ■■ ■ ■■■■ # ■■ ■■ ■ ■■■■ # ■■■■■■■■■ ■ ■■■ # ■■ ■ ■■ # ■■ ■ ■■ # ■■ ■ ■ ■■ ■■ # ■■ ■■ ■ ■■■ ■■■ ■■ # ■■■■■ ■ ■■■ ■■■■■ # -- Imports -------------------------------------------------------------------------- from .MocaBot import MocaBot # -------------------------------------------------------------------------- Imports --

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py

Python

SSnet_GNN/code/pnfit.py

ekraka/SSnet

6a28140b2e54e5415553609a612fcae92f9103f0

[ "MIT" ]

20

2020-01-23T07:29:27.000Z

2022-03-22T12:38:33.000Z

SSnet_GNN/code/pnfit.py

ekraka/SSnet

6a28140b2e54e5415553609a612fcae92f9103f0

[ "MIT" ]

3

2020-05-19T18:43:19.000Z

2021-07-30T16:13:48.000Z

SSnet_GNN/code/pnfit.py

ekraka/SSnet

6a28140b2e54e5415553609a612fcae92f9103f0

[ "MIT" ]

5

2020-02-07T18:55:23.000Z

2021-07-15T01:43:47.000Z

#curvature/torsion calculation of polynormial fitted line of axis #2nd, 3rd and 5th order polynormial from math import * from utils import * #5th order def pfit(fth,t): nf=len(fth) o=nf-1 L=t A=fth # for a in A: # print a #for each points D1,D2,D3=[],[],[] kapa,tora=[],[] crds=[] for r in xrange(L): #each point has xyz coordindates d1,d2,d3=[],[],[] crd=[] t=r+1 for i in range(3): # for j in range(3): ca=A[i] # print ca d1.append(ca[1]+ca[2]*t*2+ca[3]*t*t*3+ca[4]*t**3*4+ca[5]*t**4*5) d2.append(ca[2]*2+ca[3]*t*6+ca[4]*t**2*12+ca[5]*t**3*20) d3.append(ca[3]*6+ca[4]*t*12*2+ca[5]*t**2*20*3) crd.append(ca[0]+ca[1]*t+ca[2]*t**2+ca[3]*t**3+ca[4]*t**4+ca[5]*t**5) D1.append(d1) D2.append(d2) D3.append(d3) # print crd # print d1 dcf=[] kap=curv(d1,d2) tor=tors(d1,d2,d3) kapa.append(kap) tora.append(tor) # print 'cur' # for a in kapa: # print a # print 'tor' # for a in tora: # print a return([kapa,tora]) #3rd order def pfit3(fth,t): nf=len(fth) o=nf-1 L=t A=fth # for a in A: # print a #for each points D1,D2,D3=[],[],[] kapa,tora=[],[] crds=[] for r in xrange(L): #each point has xyz coordindates d1,d2,d3=[],[],[] crd=[] t=r+1 for i in range(3): # for j in range(3): ca=A[i] # print ca d1.append(ca[1]+ca[2]*t*2+ca[3]*t*t*3) d2.append(ca[2]*2+ca[3]*t*6) d3.append(ca[3]*6) crd.append(ca[0]+ca[1]*t+ca[2]*t**2+ca[3]*t**3) D1.append(d1) D2.append(d2) D3.append(d3) # print crd # print d1 dcf=[] kap=curv(d1,d2) tor=tors(d1,d2,d3) kapa.append(kap) tora.append(tor) # print 'cur' # for a in kapa: # print a # print 'tor' # for a in tora: # print a return([kapa,tora]) #2nd order def pfit2(fth,t): nf=len(fth) o=nf-1 L=t A=fth # for a in A: # print a #for each points D1,D2,D3=[],[],[] kapa,tora=[],[] crds=[] for r in xrange(L): #each point has xyz coordindates d1,d2,d3=[],[],[] crd=[] t=r+1 for i in range(3): # for j in range(3): ca=A[i] # print ca d1.append(ca[1]+ca[2]*t*2) d2.append(ca[2]*2) d3.append(0.) crd.append(ca[0]+ca[1]*t+ca[2]*t**2) D1.append(d1) D2.append(d2) D3.append(d3) # print crd # print d1 dcf=[] kap=curv(d1,d2) tor=tors(d1,d2,d3) kapa.append(kap) tora.append(tor) # print 'cur' # for a in kapa: # print a # print 'tor' # for a in tora: # print a return([kapa,tora])

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py

Python

pimux/__init__.py

azwyane/pymux

09fafc8c313a2c091efed6e9864a0273fe4c35c6

[ "MIT" ]

30

2020-05-02T09:21:23.000Z

2022-03-24T12:59:09.000Z

pimux/__init__.py

azwyane/pymux

09fafc8c313a2c091efed6e9864a0273fe4c35c6

[ "MIT" ]

null

pimux/__init__.py

azwyane/pymux

09fafc8c313a2c091efed6e9864a0273fe4c35c6

[ "MIT" ]

9

2020-05-03T19:13:12.000Z

2021-03-08T07:21:59.000Z

from . import function from . import Sensors

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py

Python

scipy/signal/tests/test_spectral.py

xu-hong-/scipy

f737001cf0a75654efe09a1de5cdf5d1895bda59

[ "BSD-3-Clause" ]

6,989

2017-07-18T06:23:18.000Z

2022-03-31T15:58:36.000Z

scipy/signal/tests/test_spectral.py

xu-hong-/scipy

f737001cf0a75654efe09a1de5cdf5d1895bda59

[ "BSD-3-Clause" ]

1,978

2017-07-18T09:17:58.000Z

2022-03-31T14:28:43.000Z

scipy/signal/tests/test_spectral.py

xu-hong-/scipy

f737001cf0a75654efe09a1de5cdf5d1895bda59

[ "BSD-3-Clause" ]

1,228

2017-07-18T09:03:13.000Z

2022-03-29T05:57:40.000Z

from __future__ import division, print_function, absolute_import import warnings import numpy as np from numpy.testing import assert_raises, assert_approx_equal, \ assert_, run_module_suite, TestCase,\ assert_allclose, assert_array_equal,\ assert_array_almost_equal_nulp, dec from scipy import signal, fftpack from scipy._lib._version import NumpyVersion from scipy.signal import (periodogram, welch, lombscargle, csd, coherence, spectrogram) class TestPeriodogram(TestCase): def test_real_onesided_even(self): x = np.zeros(16) x[0] = 1 f, p = periodogram(x) assert_allclose(f, np.linspace(0, 0.5, 9)) q = np.ones(9) q[0] = 0 q[-1] /= 2.0 q /= 8 assert_allclose(p, q) def test_real_onesided_odd(self): x = np.zeros(15) x[0] = 1 f, p = periodogram(x) assert_allclose(f, np.arange(8.0)/15.0) q = np.ones(8) q[0] = 0 q *= 2.0/15.0 assert_allclose(p, q, atol=1e-15) def test_real_twosided(self): x = np.zeros(16) x[0] = 1 f, p = periodogram(x, return_onesided=False) assert_allclose(f, fftpack.fftfreq(16, 1.0)) q = np.ones(16)/16.0 q[0] = 0 assert_allclose(p, q) def test_real_spectrum(self): x = np.zeros(16) x[0] = 1 f, p = periodogram(x, scaling='spectrum') g, q = periodogram(x, scaling='density') assert_allclose(f, np.linspace(0, 0.5, 9)) assert_allclose(p, q/16.0) def test_integer_even(self): x = np.zeros(16, dtype=int) x[0] = 1 f, p = periodogram(x) assert_allclose(f, np.linspace(0, 0.5, 9)) q = np.ones(9) q[0] = 0 q[-1] /= 2.0 q /= 8 assert_allclose(p, q) def test_integer_odd(self): x = np.zeros(15, dtype=int) x[0] = 1 f, p = periodogram(x) assert_allclose(f, np.arange(8.0)/15.0) q = np.ones(8) q[0] = 0 q *= 2.0/15.0 assert_allclose(p, q, atol=1e-15) def test_integer_twosided(self): x = np.zeros(16, dtype=int) x[0] = 1 f, p = periodogram(x, return_onesided=False) assert_allclose(f, fftpack.fftfreq(16, 1.0)) q = np.ones(16)/16.0 q[0] = 0 assert_allclose(p, q) def test_complex(self): x = np.zeros(16, np.complex128) x[0] = 1.0 + 2.0j f, p = periodogram(x) assert_allclose(f, fftpack.fftfreq(16, 1.0)) q = 5.0*np.ones(16)/16.0 q[0] = 0 assert_allclose(p, q) def test_unk_scaling(self): assert_raises(ValueError, periodogram, np.zeros(4, np.complex128), scaling='foo') def test_nd_axis_m1(self): x = np.zeros(20, dtype=np.float64) x = x.reshape((2,1,10)) x[:,:,0] = 1.0 f, p = periodogram(x) assert_array_equal(p.shape, (2, 1, 6)) assert_array_almost_equal_nulp(p[0,0,:], p[1,0,:], 60) f0, p0 = periodogram(x[0,0,:]) assert_array_almost_equal_nulp(p0[np.newaxis,:], p[1,:], 60) def test_nd_axis_0(self): x = np.zeros(20, dtype=np.float64) x = x.reshape((10,2,1)) x[0,:,:] = 1.0 f, p = periodogram(x, axis=0) assert_array_equal(p.shape, (6,2,1)) assert_array_almost_equal_nulp(p[:,0,0], p[:,1,0], 60) f0, p0 = periodogram(x[:,0,0]) assert_array_almost_equal_nulp(p0, p[:,1,0]) def test_window_external(self): x = np.zeros(16) x[0] = 1 f, p = periodogram(x, 10, 'hann') win = signal.get_window('hann', 16) fe, pe = periodogram(x, 10, win) assert_array_almost_equal_nulp(p, pe) assert_array_almost_equal_nulp(f, fe) def test_padded_fft(self): x = np.zeros(16) x[0] = 1 f, p = periodogram(x) fp, pp = periodogram(x, nfft=32) assert_allclose(f, fp[::2]) assert_allclose(p, pp[::2]) assert_array_equal(pp.shape, (17,)) def test_empty_input(self): f, p = periodogram([]) assert_array_equal(f.shape, (0,)) assert_array_equal(p.shape, (0,)) for shape in [(0,), (3,0), (0,5,2)]: f, p = periodogram(np.empty(shape)) assert_array_equal(f.shape, shape) assert_array_equal(p.shape, shape) def test_empty_input_other_axis(self): for shape in [(3,0), (0,5,2)]: f, p = periodogram(np.empty(shape), axis=1) assert_array_equal(f.shape, shape) assert_array_equal(p.shape, shape) def test_short_nfft(self): x = np.zeros(18) x[0] = 1 f, p = periodogram(x, nfft=16) assert_allclose(f, np.linspace(0, 0.5, 9)) q = np.ones(9) q[0] = 0 q[-1] /= 2.0 q /= 8 assert_allclose(p, q) def test_nfft_is_xshape(self): x = np.zeros(16) x[0] = 1 f, p = periodogram(x, nfft=16) assert_allclose(f, np.linspace(0, 0.5, 9)) q = np.ones(9) q[0] = 0 q[-1] /= 2.0 q /= 8 assert_allclose(p, q) def test_real_onesided_even_32(self): x = np.zeros(16, 'f') x[0] = 1 f, p = periodogram(x) assert_allclose(f, np.linspace(0, 0.5, 9)) q = np.ones(9, 'f') q[0] = 0 q[-1] /= 2.0 q /= 8 assert_allclose(p, q) assert_(p.dtype == q.dtype) def test_real_onesided_odd_32(self): x = np.zeros(15, 'f') x[0] = 1 f, p = periodogram(x) assert_allclose(f, np.arange(8.0)/15.0) q = np.ones(8, 'f') q[0] = 0 q *= 2.0/15.0 assert_allclose(p, q, atol=1e-7) assert_(p.dtype == q.dtype) @dec.skipif(NumpyVersion(np.__version__) < '1.8.0') def test_real_twosided_32(self): x = np.zeros(16, 'f') x[0] = 1 f, p = periodogram(x, return_onesided=False) assert_allclose(f, fftpack.fftfreq(16, 1.0)) q = np.ones(16, 'f')/16.0 q[0] = 0 assert_allclose(p, q) assert_(p.dtype == q.dtype) @dec.skipif(NumpyVersion(np.__version__) < '1.8.0') def test_complex_32(self): x = np.zeros(16, 'F') x[0] = 1.0 + 2.0j f, p = periodogram(x) assert_allclose(f, fftpack.fftfreq(16, 1.0)) q = 5.0*np.ones(16, 'f')/16.0 q[0] = 0 assert_allclose(p, q) assert_(p.dtype == q.dtype) class TestWelch(TestCase): def test_real_onesided_even(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8) assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.08333333, 0.15277778, 0.22222222, 0.22222222, 0.11111111]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_real_onesided_odd(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=9) assert_allclose(f, np.arange(5.0)/9.0) q = np.array([0.15958227, 0.24193957, 0.24145224, 0.24100919, 0.24377353]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_real_twosided(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8, return_onesided=False) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.08333333, 0.07638889, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.07638889]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_real_spectrum(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8, scaling='spectrum') assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.015625, 0.02864583, 0.04166667, 0.04166667, 0.02083333]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_integer_onesided_even(self): x = np.zeros(16, dtype=int) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8) assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.08333333, 0.15277778, 0.22222222, 0.22222222, 0.11111111]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_integer_onesided_odd(self): x = np.zeros(16, dtype=int) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=9) assert_allclose(f, np.arange(5.0)/9.0) q = np.array([0.15958227, 0.24193957, 0.24145224, 0.24100919, 0.24377353]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_integer_twosided(self): x = np.zeros(16, dtype=int) x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8, return_onesided=False) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.08333333, 0.07638889, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.07638889]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_complex(self): x = np.zeros(16, np.complex128) x[0] = 1.0 + 2.0j x[8] = 1.0 + 2.0j f, p = welch(x, nperseg=8) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.41666667, 0.38194444, 0.55555556, 0.55555556, 0.55555556, 0.55555556, 0.55555556, 0.38194444]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_unk_scaling(self): assert_raises(ValueError, welch, np.zeros(4, np.complex128), scaling='foo', nperseg=4) def test_detrend_linear(self): x = np.arange(10, dtype=np.float64) + 0.04 f, p = welch(x, nperseg=10, detrend='linear') assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_no_detrending(self): x = np.arange(10, dtype=np.float64) + 0.04 f1, p1 = welch(x, nperseg=10, detrend=False) f2, p2 = welch(x, nperseg=10, detrend=lambda x: x) assert_allclose(f1, f2, atol=1e-15) assert_allclose(p1, p2, atol=1e-15) def test_detrend_external(self): x = np.arange(10, dtype=np.float64) + 0.04 f, p = welch(x, nperseg=10, detrend=lambda seg: signal.detrend(seg, type='l')) assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_detrend_external_nd_m1(self): x = np.arange(40, dtype=np.float64) + 0.04 x = x.reshape((2,2,10)) f, p = welch(x, nperseg=10, detrend=lambda seg: signal.detrend(seg, type='l')) assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_detrend_external_nd_0(self): x = np.arange(20, dtype=np.float64) + 0.04 x = x.reshape((2,1,10)) x = np.rollaxis(x, 2, 0) f, p = welch(x, nperseg=10, axis=0, detrend=lambda seg: signal.detrend(seg, axis=0, type='l')) assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_nd_axis_m1(self): x = np.arange(20, dtype=np.float64) + 0.04 x = x.reshape((2,1,10)) f, p = welch(x, nperseg=10) assert_array_equal(p.shape, (2, 1, 6)) assert_allclose(p[0,0,:], p[1,0,:], atol=1e-13, rtol=1e-13) f0, p0 = welch(x[0,0,:], nperseg=10) assert_allclose(p0[np.newaxis,:], p[1,:], atol=1e-13, rtol=1e-13) def test_nd_axis_0(self): x = np.arange(20, dtype=np.float64) + 0.04 x = x.reshape((10,2,1)) f, p = welch(x, nperseg=10, axis=0) assert_array_equal(p.shape, (6,2,1)) assert_allclose(p[:,0,0], p[:,1,0], atol=1e-13, rtol=1e-13) f0, p0 = welch(x[:,0,0], nperseg=10) assert_allclose(p0, p[:,1,0], atol=1e-13, rtol=1e-13) def test_window_external(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = welch(x, 10, 'hann', 8) win = signal.get_window('hann', 8) fe, pe = welch(x, 10, win, 8) assert_array_almost_equal_nulp(p, pe) assert_array_almost_equal_nulp(f, fe) def test_empty_input(self): f, p = welch([]) assert_array_equal(f.shape, (0,)) assert_array_equal(p.shape, (0,)) for shape in [(0,), (3,0), (0,5,2)]: f, p = welch(np.empty(shape)) assert_array_equal(f.shape, shape) assert_array_equal(p.shape, shape) def test_empty_input_other_axis(self): for shape in [(3,0), (0,5,2)]: f, p = welch(np.empty(shape), axis=1) assert_array_equal(f.shape, shape) assert_array_equal(p.shape, shape) def test_short_data(self): x = np.zeros(8) x[0] = 1 with warnings.catch_warnings(): warnings.simplefilter('ignore', UserWarning) f, p = welch(x) f1, p1 = welch(x, nperseg=8) assert_allclose(f, f1) assert_allclose(p, p1) def test_window_long_or_nd(self): with warnings.catch_warnings(): warnings.simplefilter('ignore', UserWarning) assert_raises(ValueError, welch, np.zeros(4), 1, np.array([1,1,1,1,1])) assert_raises(ValueError, welch, np.zeros(4), 1, np.arange(6).reshape((2,3))) def test_nondefault_noverlap(self): x = np.zeros(64) x[::8] = 1 f, p = welch(x, nperseg=16, noverlap=4) q = np.array([0, 1./12., 1./3., 1./5., 1./3., 1./5., 1./3., 1./5., 1./6.]) assert_allclose(p, q, atol=1e-12) def test_bad_noverlap(self): assert_raises(ValueError, welch, np.zeros(4), 1, 'hann', 2, 7) def test_nfft_too_short(self): assert_raises(ValueError, welch, np.ones(12), nfft=3, nperseg=4) def test_real_onesided_even_32(self): x = np.zeros(16, 'f') x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8) assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.08333333, 0.15277778, 0.22222222, 0.22222222, 0.11111111], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype) def test_real_onesided_odd_32(self): x = np.zeros(16, 'f') x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=9) assert_allclose(f, np.arange(5.0)/9.0) q = np.array([0.15958227, 0.24193957, 0.24145224, 0.24100919, 0.24377353], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype) @dec.skipif(NumpyVersion(np.__version__) < '1.8.0') def test_real_twosided_32(self): x = np.zeros(16, 'f') x[0] = 1 x[8] = 1 f, p = welch(x, nperseg=8, return_onesided=False) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.08333333, 0.07638889, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.07638889], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype) @dec.skipif(NumpyVersion(np.__version__) < '1.8.0') def test_complex_32(self): x = np.zeros(16, 'F') x[0] = 1.0 + 2.0j x[8] = 1.0 + 2.0j f, p = welch(x, nperseg=8) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.41666666, 0.38194442, 0.55555552, 0.55555552, 0.55555558, 0.55555552, 0.55555552, 0.38194442], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype, 'dtype mismatch, %s, %s' % (p.dtype, q.dtype)) def test_padded_freqs(self): x = np.zeros(12) nfft = 24 f = fftpack.fftfreq(nfft, 1.0)[:nfft//2+1] f[-1] *= -1 fodd, _ = welch(x, nperseg=5, nfft=nfft) feven, _ = welch(x, nperseg=6, nfft=nfft) assert_allclose(f, fodd) assert_allclose(f, feven) nfft = 25 f = fftpack.fftfreq(nfft, 1.0)[:(nfft + 1)//2] fodd, _ = welch(x, nperseg=5, nfft=nfft) feven, _ = welch(x, nperseg=6, nfft=nfft) assert_allclose(f, fodd) assert_allclose(f, feven) class TestCSD: def test_pad_shorter_x(self): x = np.zeros(8) y = np.zeros(12) f = np.linspace(0, 0.5, 7) c = np.zeros(7,dtype=np.complex128) f1, c1 = csd(x, y, nperseg=12) assert_allclose(f, f1) assert_allclose(c, c1) def test_pad_shorter_y(self): x = np.zeros(12) y = np.zeros(8) f = np.linspace(0, 0.5, 7) c = np.zeros(7,dtype=np.complex128) f1, c1 = csd(x, y, nperseg=12) assert_allclose(f, f1) assert_allclose(c, c1) def test_real_onesided_even(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8) assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.08333333, 0.15277778, 0.22222222, 0.22222222, 0.11111111]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_real_onesided_odd(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=9) assert_allclose(f, np.arange(5.0)/9.0) q = np.array([0.15958227, 0.24193957, 0.24145224, 0.24100919, 0.24377353]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_real_twosided(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8, return_onesided=False) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.08333333, 0.07638889, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.07638889]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_real_spectrum(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8, scaling='spectrum') assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.015625, 0.02864583, 0.04166667, 0.04166667, 0.02083333]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_integer_onesided_even(self): x = np.zeros(16, dtype=int) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8) assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.08333333, 0.15277778, 0.22222222, 0.22222222, 0.11111111]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_integer_onesided_odd(self): x = np.zeros(16, dtype=int) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=9) assert_allclose(f, np.arange(5.0)/9.0) q = np.array([0.15958227, 0.24193957, 0.24145224, 0.24100919, 0.24377353]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_integer_twosided(self): x = np.zeros(16, dtype=int) x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8, return_onesided=False) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.08333333, 0.07638889, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.07638889]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_complex(self): x = np.zeros(16, np.complex128) x[0] = 1.0 + 2.0j x[8] = 1.0 + 2.0j f, p = csd(x, x, nperseg=8) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.41666667, 0.38194444, 0.55555556, 0.55555556, 0.55555556, 0.55555556, 0.55555556, 0.38194444]) assert_allclose(p, q, atol=1e-7, rtol=1e-7) def test_unk_scaling(self): assert_raises(ValueError, csd, np.zeros(4, np.complex128), np.ones(4, np.complex128), scaling='foo', nperseg=4) def test_detrend_linear(self): x = np.arange(10, dtype=np.float64) + 0.04 f, p = csd(x, x, nperseg=10, detrend='linear') assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_no_detrending(self): x = np.arange(10, dtype=np.float64) + 0.04 f1, p1 = csd(x, x, nperseg=10, detrend=False) f2, p2 = csd(x, x, nperseg=10, detrend=lambda x: x) assert_allclose(f1, f2, atol=1e-15) assert_allclose(p1, p2, atol=1e-15) def test_detrend_external(self): x = np.arange(10, dtype=np.float64) + 0.04 f, p = csd(x, x, nperseg=10, detrend=lambda seg: signal.detrend(seg, type='l')) assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_detrend_external_nd_m1(self): x = np.arange(40, dtype=np.float64) + 0.04 x = x.reshape((2,2,10)) f, p = csd(x, x, nperseg=10, detrend=lambda seg: signal.detrend(seg, type='l')) assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_detrend_external_nd_0(self): x = np.arange(20, dtype=np.float64) + 0.04 x = x.reshape((2,1,10)) x = np.rollaxis(x, 2, 0) f, p = csd(x, x, nperseg=10, axis=0, detrend=lambda seg: signal.detrend(seg, axis=0, type='l')) assert_allclose(p, np.zeros_like(p), atol=1e-15) def test_nd_axis_m1(self): x = np.arange(20, dtype=np.float64) + 0.04 x = x.reshape((2,1,10)) f, p = csd(x, x, nperseg=10) assert_array_equal(p.shape, (2, 1, 6)) assert_allclose(p[0,0,:], p[1,0,:], atol=1e-13, rtol=1e-13) f0, p0 = csd(x[0,0,:], x[0,0,:], nperseg=10) assert_allclose(p0[np.newaxis,:], p[1,:], atol=1e-13, rtol=1e-13) def test_nd_axis_0(self): x = np.arange(20, dtype=np.float64) + 0.04 x = x.reshape((10,2,1)) f, p = csd(x, x, nperseg=10, axis=0) assert_array_equal(p.shape, (6,2,1)) assert_allclose(p[:,0,0], p[:,1,0], atol=1e-13, rtol=1e-13) f0, p0 = csd(x[:,0,0], x[:,0,0], nperseg=10) assert_allclose(p0, p[:,1,0], atol=1e-13, rtol=1e-13) def test_window_external(self): x = np.zeros(16) x[0] = 1 x[8] = 1 f, p = csd(x, x, 10, 'hann', 8) win = signal.get_window('hann', 8) fe, pe = csd(x, x, 10, win, 8) assert_array_almost_equal_nulp(p, pe) assert_array_almost_equal_nulp(f, fe) def test_empty_input(self): f, p = csd([],np.zeros(10)) assert_array_equal(f.shape, (0,)) assert_array_equal(p.shape, (0,)) f, p = csd(np.zeros(10),[]) assert_array_equal(f.shape, (0,)) assert_array_equal(p.shape, (0,)) for shape in [(0,), (3,0), (0,5,2)]: f, p = csd(np.empty(shape), np.empty(shape)) assert_array_equal(f.shape, shape) assert_array_equal(p.shape, shape) f, p = csd(np.ones(10), np.empty((5,0))) assert_array_equal(f.shape, (5,0)) assert_array_equal(p.shape, (5,0)) f, p = csd(np.empty((5,0)), np.ones(10)) assert_array_equal(f.shape, (5,0)) assert_array_equal(p.shape, (5,0)) def test_empty_input_other_axis(self): for shape in [(3,0), (0,5,2)]: f, p = csd(np.empty(shape), np.empty(shape), axis=1) assert_array_equal(f.shape, shape) assert_array_equal(p.shape, shape) f, p = csd(np.empty((10,10,3)), np.zeros((10,0,1)), axis=1) assert_array_equal(f.shape, (10,0,3)) assert_array_equal(p.shape, (10,0,3)) f, p = csd(np.empty((10,0,1)), np.zeros((10,10,3)), axis=1) assert_array_equal(f.shape, (10,0,3)) assert_array_equal(p.shape, (10,0,3)) def test_short_data(self): x = np.zeros(8) x[0] = 1 with warnings.catch_warnings(): warnings.simplefilter('ignore', UserWarning) f, p = csd(x, x) f1, p1 = csd(x, x, nperseg=8) assert_allclose(f, f1) assert_allclose(p, p1) def test_window_long_or_nd(self): with warnings.catch_warnings(): warnings.simplefilter('ignore', UserWarning) assert_raises(ValueError, csd, np.zeros(4), np.ones(4), 1, np.array([1,1,1,1,1])) assert_raises(ValueError, csd, np.zeros(4), np.ones(4), 1, np.arange(6).reshape((2,3))) def test_nondefault_noverlap(self): x = np.zeros(64) x[::8] = 1 f, p = csd(x, x, nperseg=16, noverlap=4) q = np.array([0, 1./12., 1./3., 1./5., 1./3., 1./5., 1./3., 1./5., 1./6.]) assert_allclose(p, q, atol=1e-12) def test_bad_noverlap(self): assert_raises(ValueError, csd, np.zeros(4), np.ones(4), 1, 'hann', 2, 7) def test_nfft_too_short(self): assert_raises(ValueError, csd, np.ones(12), np.zeros(12), nfft=3, nperseg=4) def test_real_onesided_even_32(self): x = np.zeros(16, 'f') x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8) assert_allclose(f, np.linspace(0, 0.5, 5)) q = np.array([0.08333333, 0.15277778, 0.22222222, 0.22222222, 0.11111111], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype) def test_real_onesided_odd_32(self): x = np.zeros(16, 'f') x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=9) assert_allclose(f, np.arange(5.0)/9.0) q = np.array([0.15958227, 0.24193957, 0.24145224, 0.24100919, 0.24377353], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype) @dec.skipif(NumpyVersion(np.__version__) < '1.8.0') def test_real_twosided_32(self): x = np.zeros(16, 'f') x[0] = 1 x[8] = 1 f, p = csd(x, x, nperseg=8, return_onesided=False) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.08333333, 0.07638889, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.11111111, 0.07638889], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype) @dec.skipif(NumpyVersion(np.__version__) < '1.8.0') def test_complex_32(self): x = np.zeros(16, 'F') x[0] = 1.0 + 2.0j x[8] = 1.0 + 2.0j f, p = csd(x, x, nperseg=8) assert_allclose(f, fftpack.fftfreq(8, 1.0)) q = np.array([0.41666666, 0.38194442, 0.55555552, 0.55555552, 0.55555558, 0.55555552, 0.55555552, 0.38194442], 'f') assert_allclose(p, q, atol=1e-7, rtol=1e-7) assert_(p.dtype == q.dtype, 'dtype mismatch, %s, %s' % (p.dtype, q.dtype)) def test_padded_freqs(self): x = np.zeros(12) y = np.ones(12) nfft = 24 f = fftpack.fftfreq(nfft, 1.0)[:nfft//2+1] f[-1] *= -1 fodd, _ = csd(x, y, nperseg=5, nfft=nfft) feven, _ = csd(x, y, nperseg=6, nfft=nfft) assert_allclose(f, fodd) assert_allclose(f, feven) nfft = 25 f = fftpack.fftfreq(nfft, 1.0)[:(nfft + 1)//2] fodd, _ = csd(x, y, nperseg=5, nfft=nfft) feven, _ = csd(x, y, nperseg=6, nfft=nfft) assert_allclose(f, fodd) assert_allclose(f, feven) class TestCoherence: def test_identical_input(self): x = np.random.randn(20) y = np.copy(x) # So `y is x` -> False f = np.linspace(0, 0.5, 6) C = np.ones(6) f1, C1 = coherence(x, y, nperseg=10) assert_allclose(f, f1) assert_allclose(C, C1) def test_phase_shifted_input(self): x = np.random.randn(20) y = -x f = np.linspace(0, 0.5, 6) C = np.ones(6) f1, C1 = coherence(x, y, nperseg=10) assert_allclose(f, f1) assert_allclose(C, C1) class TestSpectrogram: def test_average_all_segments(self): x = np.random.randn(1024) fs = 1.0 window = ('tukey', 0.25) nperseg = 16 noverlap = 2 f, _, P = spectrogram(x, fs, window, nperseg, noverlap) fw, Pw = welch(x, fs, window, nperseg, noverlap) assert_allclose(f, fw) assert_allclose(np.mean(P, axis=-1), Pw) class TestLombscargle: def test_frequency(self): """Test if frequency location of peak corresponds to frequency of generated input signal. """ # Input parameters ampl = 2. w = 1. phi = 0.5 * np.pi nin = 100 nout = 1000 p = 0.7 # Fraction of points to select # Randomly select a fraction of an array with timesteps np.random.seed(2353425) r = np.random.rand(nin) t = np.linspace(0.01*np.pi, 10.*np.pi, nin)[r >= p] # Plot a sine wave for the selected times x = ampl * np.sin(w*t + phi) # Define the array of frequencies for which to compute the periodogram f = np.linspace(0.01, 10., nout) # Calculate Lomb-Scargle periodogram P = lombscargle(t, x, f) # Check if difference between found frequency maximum and input # frequency is less than accuracy delta = f[1] - f[0] assert_(w - f[np.argmax(P)] < (delta/2.)) def test_amplitude(self): """Test if height of peak in normalized Lomb-Scargle periodogram corresponds to amplitude of the generated input signal. """ # Input parameters ampl = 2. w = 1. phi = 0.5 * np.pi nin = 100 nout = 1000 p = 0.7 # Fraction of points to select # Randomly select a fraction of an array with timesteps np.random.seed(2353425) r = np.random.rand(nin) t = np.linspace(0.01*np.pi, 10.*np.pi, nin)[r >= p] # Plot a sine wave for the selected times x = ampl * np.sin(w*t + phi) # Define the array of frequencies for which to compute the periodogram f = np.linspace(0.01, 10., nout) # Calculate Lomb-Scargle periodogram pgram = lombscargle(t, x, f) # Normalize pgram = np.sqrt(4 * pgram / t.shape[0]) # Check if difference between found frequency maximum and input # frequency is less than accuracy assert_approx_equal(np.max(pgram), ampl, significant=2) def test_wrong_shape(self): t = np.linspace(0, 1, 1) x = np.linspace(0, 1, 2) f = np.linspace(0, 1, 3) assert_raises(ValueError, lombscargle, t, x, f) def test_zero_division(self): t = np.zeros(1) x = np.zeros(1) f = np.zeros(1) assert_raises(ZeroDivisionError, lombscargle, t, x, f) def test_lombscargle_atan_vs_atan2(self): # https://github.com/scipy/scipy/issues/3787 # This raised a ZeroDivisionError. t = np.linspace(0, 10, 1000, endpoint=False) x = np.sin(4*t) f = np.linspace(0, 50, 500, endpoint=False) + 0.1 q = lombscargle(t, x, f*2*np.pi) if __name__ == "__main__": run_module_suite()

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null

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7

588d033cd648dd40b9af5f385c2cc4e5591df484

5,793

py

Python

CNK-GToken/cnk-gtoken_dec.py

shyamjangid07/Reverse-Engineering

469efabcd6057f7895d8d891f1fabdf2ffe730b0

[ "Apache-2.0" ]

337

2020-08-15T12:22:14.000Z

2022-03-29T06:05:15.000Z

CNK-GToken/cnk-gtoken_dec.py

Wh014M/Reverse-Engineering

f7aae2c43f7ea4a6730964d085c07814b6660a53

[ "Apache-2.0" ]

3

2020-11-12T14:30:48.000Z

2021-05-18T16:56:22.000Z

CNK-GToken/cnk-gtoken_dec.py

Wh014M/Reverse-Engineering

f7aae2c43f7ea4a6730964d085c07814b6660a53

[ "Apache-2.0" ]

83

2020-08-15T00:22:58.000Z

2022-03-31T08:40:23.000Z

# Deobfuscated BY HTR-TECH | Tahmid Rayat # Github : https://github.com/htr-tech # Instagram : https://www.instagram.com/tahmid.rayat # Facebook : https://fb.com/tahmid.rayat.oficial # Messenger : https://m.me/tahmid.rayat.oficial import os, json, base64, hashlib, random, time, sys from requests import get, post P = '\x1b[0m' H = '\x1b[031m' G = '\x1b[032m' K = '\x1b[0;33m' L = P + '=' * 56 V = ('{}[{}+{}]{} ').format(G, P, G, P) print "\x1b[30;1m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x97\n\xe2\x95\x91\x1b[31;1m ____ _ _ _ __ ____ _____ _ \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[31;1m / ___| \\ | | |/ / / ___|_ _|__ | | _____ _ __ \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[31;1m| | | \\| | ' /_____| | _ | |/ _ \\| |/ / _ \\ '_ \\ \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[0;37m| |___| |\\ | . \\_____| |_| | | | (_) | < __/ | | |\x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[0;37m \\____|_| \\_|_|\\_\\ \\____| |_|\\___/|_|\\_\\___|_| |_|\x1b[30;1m\xe2\x95\x91\n\xe2\x95\xa0\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\xa3\x1b[30;1m\n\xe2\x95\x91\x1b[31;1m\xe2\x9e\xa2 Author : Febry [ xNot_Found ] \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[32;1m\xe2\x9e\xa3 Contact: +62823-8637-2115 \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[33;1m\xe2\x9e\xa2 Email : febryafriansyah@programmer.net \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[34;1m\xe2\x9e\xa3 Website: http://hatakecnk.noads.biz \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x91\x1b[37;1m\xe2\x9e\xa2 Github : https://github.com/hatakecnk \x1b[30;1m\xe2\x95\x91\n\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d" try: ID = raw_input('\x1b[0;37m\xe2\x94\x8c\xe2\x94\x80[\x1b[31;1m Input Your Username \x1b[0;37m]\n\x1b[0;37m\xe2\x94\x94\xe2\x94\x80[\x1b[31;1m$\x1b[0;37m]> \x1b[33;1m') PW = raw_input('\x1b[0;37m\xe2\x94\x8c\xe2\x94\x80[\x1b[31;1m Input Your Password \x1b[0;37m]\n\x1b[0;37m\xe2\x94\x94\xe2\x94\x80[\x1b[31;1m$\x1b[0;37m]> \x1b[33;1m') API_SECRET = '62f8ce9f74b12f84c123cc23437a4a32' data = {'api_key': '882a8490361da98702bf97a021ddc14d', 'credentials_type': 'password', 'email': ID, 'format': 'JSON', 'generate_machine_id': '1', 'generate_session_cookies': '1', 'locale': 'en_US', 'method': 'auth.login', 'password': PW, 'return_ssl_resources': '0', 'v': '1.0'} sig = 'api_key=882a8490361da98702bf97a021ddc14dcredentials_type=passwordemail=' + ID + 'format=JSONgenerate_machine_id=1generate_session_cookies=1locale=en_USmethod=auth.loginpassword=' + PW + 'return_ssl_resources=0v=1.0' + API_SECRET x = hashlib.new('md5') x.update(sig) data.update({'sig': x.hexdigest()}) def Token(): R = json.loads(get('https://api.facebook.com/restserver.php', params=data).text) try: T = R['access_token'] Token = open('token.txt', 'wb') Token.write(T) print V + 'Token has been saved as token.txt' a = raw_input('\x1b[0;37m\xe2\x94\x8c\xe2\x94\x80[\x1b[31;1m Show Acces Token (y/n) \x1b[0;37m]\n\x1b[0;37m\xe2\x94\x94\xe2\x94\x80[\x1b[31;1m$\x1b[0;37m]> \x1b[33;1m') if a == 'y': print '\n' + L + '\n\x1b[35;1m' + T + '\n' + L else: sys.exit() except: print H + '\n[!]' + P + ' Failed' except IndexError: print '\n\x1b[31;1m[\x1b[0;37m!\x1b[31;1m] \x1b[0;37mthere is an error' sys.exit() except KeyboardInterrupt: print '\n\x1b[31m[\x1b[0m!\x1b[31m]\x1b[0m ctrl+c detected' print '\x1b[31m[\x1b[0m!\x1b[31m]\x1b[0m trying to exit' time.sleep(3) sys.exit() except EOFError: print '\n\n\x1b[31m[\x1b[0m!\x1b[31m]\x1b[0m ctrl+d detected' print '\x1b[31m[\x1b[0m!\x1b[31m]\x1b[0m trying to exit' time.sleep(3) sys.exit() if __name__ == '__main__': try: Token() except ImportError: exit()

93.435484

3,118

0.650268

1,101

5,793

3.317893

0.158946

0.308787

0.399124

0.532165

0.636189

0.630441

0.621133

0.614837

0

0.265918

0.124288

5,793

61

3,119

94.967213

0.454169

0.039013

0

0.22

0

0.14

0.794065

0.615468

0

null

0.06

null

0.18

0

null

1

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1

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1

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1

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1

0

1

null

0

1

0

1

0

11

54755487584149a3e622cefc821b0f8ef2e2ac42

1,679

py

Python

langdetect/tests/utils/test_unicode_block.py

mrhaanraadts/langdetect

edc668bc019719ed1e5718ad59bf339180de09e1

[ "Apache-2.0" ]

1,269

2015-01-05T13:51:00.000Z

2022-03-28T03:07:31.000Z

langdetect/tests/utils/test_unicode_block.py

HelenaSak/langdetect

c4b28fe44370863eb6e2f73cfe0cfae5d5a895da

[ "Apache-2.0" ]

75

2015-02-16T15:52:41.000Z

2022-02-19T10:17:26.000Z

langdetect/tests/utils/test_unicode_block.py

HelenaSak/langdetect

c4b28fe44370863eb6e2f73cfe0cfae5d5a895da

[ "Apache-2.0" ]

205

2015-01-01T18:33:32.000Z

2022-03-31T22:52:32.000Z

import unittest import six from langdetect.utils import unicode_block class UnicodeBlockTest(unittest.TestCase): def test_unicode_block(self): self.assertEqual(unicode_block.unicode_block(six.u('\u0065')), unicode_block.UNICODE_BASIC_LATIN) self.assertEqual(unicode_block.unicode_block(six.u('\u007F')), unicode_block.UNICODE_BASIC_LATIN) self.assertEqual(unicode_block.unicode_block(six.u('\u0080')), unicode_block.UNICODE_LATIN_1_SUPPLEMENT) self.assertEqual(unicode_block.unicode_block(six.u('\u21FF')), unicode_block.UNICODE_ARROWS) self.assertEqual(unicode_block.unicode_block(six.u('\u2200')), unicode_block.UNICODE_MATHEMATICAL_OPERATORS) self.assertEqual(unicode_block.unicode_block(six.u('\u2201')), unicode_block.UNICODE_MATHEMATICAL_OPERATORS) self.assertEqual(unicode_block.unicode_block(six.u('\u22FF')), unicode_block.UNICODE_MATHEMATICAL_OPERATORS) self.assertEqual(unicode_block.unicode_block(six.u('\u2300')), unicode_block.UNICODE_MISCELLANEOUS_TECHNICAL) # test only on wide builds (i.e. Python 3) if len(six.u('\U0010FFFF')) == 1: self.assertEqual(unicode_block.unicode_block(six.u('\U000F0000')), unicode_block.UNICODE_SUPPLEMENTARY_PRIVATE_USE_AREA_A) self.assertEqual(unicode_block.unicode_block(six.u('\U000FFFFF')), unicode_block.UNICODE_SUPPLEMENTARY_PRIVATE_USE_AREA_A) self.assertEqual(unicode_block.unicode_block(six.u('\U00100000')), unicode_block.UNICODE_SUPPLEMENTARY_PRIVATE_USE_AREA_B) self.assertEqual(unicode_block.unicode_block(six.u('\U0010FFFF')), unicode_block.UNICODE_SUPPLEMENTARY_PRIVATE_USE_AREA_B)

69.958333

134

0.775462

214

1,679

5.733645

0.247664

0.371638

0.264059

0.718826

0.466993

0

0.037483

0.110185

1,679

23

135

73

0.783802

0.023824

0

0.059866

0

0.666667

1

0.055556

false

0

0.166667

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0.277778

0

null

1

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1

0

null

0

1

0

7

54899422f1f04a9b95ecbcfe68e47f0d379f21dd

672

py

Python

plugin/src/test/resources/org/jetbrains/research/pynose/plugin/inspections/data/constructor/test_constructor_multiple.py

WANGJIEKE/pycharm_test_smell_plugin

081e5f9dcc416da4a290bcc5102ce46f104afefa

[ "Apache-2.0" ]

33

2021-08-05T04:54:25.000Z

2022-03-21T18:44:55.000Z

plugin/src/test/resources/org/jetbrains/research/pynose/plugin/inspections/data/constructor/test_constructor_multiple.py

WANGJIEKE/pycharm_test_smell_plugin

081e5f9dcc416da4a290bcc5102ce46f104afefa

[ "Apache-2.0" ]

19

2021-09-10T08:22:24.000Z

2022-02-15T09:26:57.000Z

plugin/src/test/resources/org/jetbrains/research/pynose/plugin/inspections/data/constructor/test_constructor_multiple.py

JetBrains-Research/PyNose

43690aa7fc4a964db39b165ea9fefcc8a7c0b420

[ "Apache-2.0" ]

null

import unittest class SomeClass(unittest.TestCase): def <weak_warning descr="You can use the setUp() method to create the test fixture, instead of initializing the constructor">__init__</weak_warning>(self): super().__init__() def test_something(self): pass class OtherClass(unittest.TestCase): def <weak_warning descr="You can use the setUp() method to create the test fixture, instead of initializing the constructor">__init__</weak_warning>(self): super().__init__() def test_something_other(self): pass class AnotherClass: def __init__(self): pass def test_something_else(self): pass

23.172414

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0.700893

85

672

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0.099548

0.108597

0.104072

0.719457

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672

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null

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1

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1

0

7

54ac8a1a3fc4100168778c3e4d41011e136fe3c3

137

py

Python

mmdeploy/core/__init__.py

zhiqwang/mmdeploy

997d111a6f4ca9624ab3b36717748e6ce002037d

[ "Apache-2.0" ]

746

2021-12-27T10:50:28.000Z

2022-03-31T13:34:14.000Z

mmdeploy/core/__init__.py

zhiqwang/mmdeploy

997d111a6f4ca9624ab3b36717748e6ce002037d

[ "Apache-2.0" ]

253

2021-12-28T05:59:13.000Z

2022-03-31T18:22:25.000Z

mmdeploy/core/__init__.py

zhiqwang/mmdeploy

997d111a6f4ca9624ab3b36717748e6ce002037d

[ "Apache-2.0" ]

147

2021-12-27T10:50:33.000Z

2022-03-30T10:44:20.000Z

34.25

47

0.722628

18

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0.20202

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0.363636

0

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0.167883

137

3

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45.666667

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0.562044

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null

0

1

0

1

0

1

0

8

54b7eaf9936ec14bc1b95b09bcbcc560f20cf000

54,314

py

Python

sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feeds_async.py

vincenttran-msft/azure-sdk-for-python

348b56f9f03eeb3f7b502eed51daf494ffff874d

[ "MIT" ]

1

2021-09-07T18:39:05.000Z

sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feeds_async.py

vincenttran-msft/azure-sdk-for-python

348b56f9f03eeb3f7b502eed51daf494ffff874d

[ "MIT" ]

null

sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feeds_async.py

vincenttran-msft/azure-sdk-for-python

348b56f9f03eeb3f7b502eed51daf494ffff874d

[ "MIT" ]

1

2022-03-04T06:21:56.000Z

# coding=utf-8 # ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import datetime import uuid from dateutil.tz import tzutc import pytest import functools from azure.core.exceptions import ResourceNotFoundError from azure.ai.metricsadvisor.models import ( SqlServerDataFeedSource, AzureTableDataFeedSource, AzureBlobDataFeedSource, AzureCosmosDbDataFeedSource, DataFeedMetric, DataFeedDimension, DataFeedSchema, DataFeedIngestionSettings, DataFeedGranularity, DataFeedMissingDataPointFillSettings, DataFeedRollupSettings, AzureApplicationInsightsDataFeedSource, AzureDataExplorerDataFeedSource, InfluxDbDataFeedSource, AzureDataLakeStorageGen2DataFeedSource, MongoDbDataFeedSource, MySqlDataFeedSource, PostgreSqlDataFeedSource, ) from devtools_testutils import AzureRecordedTestCase from devtools_testutils.aio import recorded_by_proxy_async from azure.ai.metricsadvisor.aio import MetricsAdvisorAdministrationClient from base_testcase_async import TestMetricsAdvisorClientBase, MetricsAdvisorClientPreparer, CREDENTIALS, ids MetricsAdvisorPreparer = functools.partial(MetricsAdvisorClientPreparer, MetricsAdvisorAdministrationClient) class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorClientBase): @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_simple_data_feed(self, client, variables): data_feed_name = self.create_random_name("testfeed") if self.is_live: variables["data_feed_name"] = data_feed_name async with client: try: data_feed = await client.create_data_feed( variables["data_feed_name"], source=SqlServerDataFeedSource( connection_string=self.sql_server_connection_string, query="select * from adsample2 where Timestamp = @StartTime" ), granularity="Daily", schema=["cost", "revenue"], ingestion_settings=datetime.datetime(2019, 10, 1) ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "SqlServer" assert data_feed.source.query is not None assert data_feed.granularity.granularity_type == "Daily" assert data_feed.schema.metrics[0].name == "cost" assert data_feed.schema.metrics[1].name == "revenue" assert data_feed.ingestion_settings.ingestion_begin_time == datetime.datetime(2019, 10, 1, tzinfo=tzutc()) finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_from_sql_server(self, client, variables): data_feed_name = self.create_random_name("testfeed") if self.is_live: variables["data_feed_name"] = data_feed_name async with client: try: data_feed = await client.create_data_feed( variables["data_feed_name"], source=SqlServerDataFeedSource( connection_string=self.sql_server_connection_string, query=u"select * from adsample2 where Timestamp = @StartTime" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost", display_name="display cost", description="the cost"), DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue") ], dimensions=[ DataFeedDimension(name="category", display_name="display category"), DataFeedDimension(name="city", display_name="display city") ], timestamp_column="Timestamp" ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 10, 1), data_source_request_concurrency=0, ingestion_retry_delay=-1, ingestion_start_offset=-1, stop_retry_after=-1, ), admins=["yournamehere@microsoft.com"], data_feed_description="my first data feed", missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings( fill_type="SmartFilling" ), rollup_settings=DataFeedRollupSettings( rollup_type="NoRollup", rollup_method="None", ), viewers=["viewers"], access_mode="Private", action_link_template="action link template" ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "SqlServer" assert data_feed.source.query is not None assert data_feed.granularity.granularity_type == "Daily" assert data_feed.granularity.custom_granularity_value is None assert data_feed.schema.metrics[0].name == "cost" assert data_feed.schema.metrics[1].name == "revenue" assert data_feed.schema.metrics[0].display_name == "display cost" assert data_feed.schema.metrics[1].display_name == "display revenue" assert data_feed.schema.metrics[0].description == "the cost" assert data_feed.schema.metrics[1].description == "the revenue" assert data_feed.schema.dimensions[0].name == "category" assert data_feed.schema.dimensions[1].name == "city" assert data_feed.schema.dimensions[0].display_name == "display category" assert data_feed.schema.dimensions[1].display_name == "display city" assert data_feed.ingestion_settings.ingestion_begin_time == datetime.datetime(2019, 10, 1, tzinfo=tzutc()) assert data_feed.ingestion_settings.data_source_request_concurrency == 0 assert data_feed.ingestion_settings.ingestion_retry_delay == -1 assert data_feed.ingestion_settings.ingestion_start_offset == -1 assert data_feed.ingestion_settings.stop_retry_after == -1 assert "yournamehere@microsoft.com" in data_feed.admins assert data_feed.data_feed_description == "my first data feed" assert data_feed.missing_data_point_fill_settings.fill_type == "SmartFilling" assert data_feed.rollup_settings.rollup_type == "NoRollup" assert data_feed.rollup_settings.rollup_method == "None" assert data_feed.viewers == ["viewers"] assert data_feed.access_mode == "Private" assert data_feed.action_link_template == "action link template" assert data_feed.status == "Active" assert data_feed.is_admin assert data_feed.metric_ids is not None finally: await self.clean_up(client.delete_data_feed, variables) with pytest.raises(ResourceNotFoundError): await client.get_data_feed(variables["data_feed_id"]) return variables @pytest.mark.skip("skip test") @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_from_sql_server_with_custom_values(self, client, variables): data_feed_name = self.create_random_name("testfeed") if self.is_live: variables["data_feed_name"] = data_feed_name async with client: try: data_feed = await client.create_data_feed( variables["data_feed_name"], source=SqlServerDataFeedSource( connection_string=self.sql_server_connection_string, query=u"select * from adsample2 where Timestamp = @StartTime" ), granularity=DataFeedGranularity( granularity_type="Custom", custom_granularity_value=400 ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost", display_name="display cost", description="the cost"), DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue") ], dimensions=[ DataFeedDimension(name="category", display_name="display category"), DataFeedDimension(name="city", display_name="display city") ], timestamp_column="Timestamp" ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 10, 1), data_source_request_concurrency=0, ingestion_retry_delay=-1, ingestion_start_offset=-1, stop_retry_after=-1, ), admins=["yournamehere@microsoft.com"], data_feed_description="my first data feed", missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings( fill_type="CustomValue", custom_fill_value=10 ), rollup_settings=DataFeedRollupSettings( rollup_type="AlreadyRollup", rollup_method="Sum", rollup_identification_value="sumrollup" ), viewers=["viewers"], access_mode="Private", action_link_template="action link template" ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "SqlServer" assert data_feed.source.query is not None assert data_feed.granularity.granularity_type == "Custom" assert data_feed.granularity.custom_granularity_value == 400 assert data_feed.schema.metrics[0].name == "cost" assert data_feed.schema.metrics[1].name == "revenue" assert data_feed.schema.metrics[0].display_name == "display cost" assert data_feed.schema.metrics[1].display_name == "display revenue" assert data_feed.schema.metrics[0].description == "the cost" assert data_feed.schema.metrics[1].description == "the revenue" assert data_feed.schema.dimensions[0].name == "category" assert data_feed.schema.dimensions[1].name == "city" assert data_feed.schema.dimensions[0].display_name == "display category" assert data_feed.schema.dimensions[1].display_name == "display city" assert data_feed.ingestion_settings.ingestion_begin_time == datetime.datetime(2019, 10, 1, tzinfo=tzutc()) assert data_feed.ingestion_settings.data_source_request_concurrency == 0 assert data_feed.ingestion_settings.ingestion_retry_delay == -1 assert data_feed.ingestion_settings.ingestion_start_offset == -1 assert data_feed.ingestion_settings.stop_retry_after == -1 assert "yournamehere@microsoft.com" in data_feed.admins assert data_feed.data_feed_description == "my first data feed" assert data_feed.missing_data_point_fill_settings.fill_type == "CustomValue" assert data_feed.missing_data_point_fill_settings.custom_fill_value == 10 assert data_feed.rollup_settings.rollup_type == "AlreadyRollup" assert data_feed.rollup_settings.rollup_method == "Sum" assert data_feed.rollup_settings.rollup_identification_value == "sumrollup" assert data_feed.viewers == ["viewers"] assert data_feed.access_mode == "Private" assert data_feed.action_link_template == "action link template" assert data_feed.status == "Active" assert data_feed.is_admin assert data_feed.metric_ids is not None finally: await self.clean_up(client.delete_data_feed, variables) with pytest.raises(ResourceNotFoundError): await client.get_data_feed(variables["data_feed_id"]) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_azure_table(self, client, variables): name = self.create_random_name("tablefeed") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=AzureTableDataFeedSource( connection_string="azure_table_connection_string", query="PartitionKey ge '@StartTime' and PartitionKey lt '@EndTime'", table="adsample" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 10, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "AzureTable" assert data_feed.source.table == "adsample" assert data_feed.source.query == "PartitionKey ge '@StartTime' and PartitionKey lt '@EndTime'" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_azure_blob(self, client, variables): name = self.create_random_name("blobfeed") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=AzureBlobDataFeedSource( connection_string="azure_blob_connection_string", container="adsample", blob_template="%Y/%m/%d/%h/JsonFormatV2.json" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 10, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "AzureBlob" assert data_feed.source.container == "adsample" assert data_feed.source.blob_template == "%Y/%m/%d/%h/JsonFormatV2.json" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_azure_cosmos_db(self, client, variables): name = self.create_random_name("cosmosfeed") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=AzureCosmosDbDataFeedSource( connection_string="azure_cosmosdb_connection_string", sql_query="'SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime'", database="adsample", collection_id="adsample" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 10, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "AzureCosmosDB" assert data_feed.source.database == "adsample" assert data_feed.source.collection_id == "adsample" assert data_feed.source.sql_query == "'SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime'" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_application_insights(self, client, variables): name = self.create_random_name("applicationinsights") if self.is_live: variables["data_feed_name"] = name async with client: try: query = "let gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran; requests | " \ "where timestamp >= starttime and timestamp < endtime | summarize request_count = count(), " \ "duration_avg_ms = avg(duration), duration_95th_ms = percentile(duration, 95), " \ "duration_max_ms = max(duration) by resultCode" data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=AzureApplicationInsightsDataFeedSource( azure_cloud="Azure", application_id="3706fe8b-98f1-47c7-bf69-b73b6e53274d", api_key="application_insights_api_key", query=query ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2021, 7, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "AzureApplicationInsights" assert data_feed.source.application_id == "3706fe8b-98f1-47c7-bf69-b73b6e53274d" assert data_feed.source.query is not None finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_data_explorer(self, client, variables): name = self.create_random_name("azuredataexplorer") if self.is_live: variables["data_feed_name"] = name async with client: try: query = "let StartDateTime = datetime(@StartTime); let EndDateTime = StartDateTime + 1d; " \ "adsample | where Timestamp >= StartDateTime and Timestamp < EndDateTime" data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=AzureDataExplorerDataFeedSource( connection_string="azure_data_explorer_connection_string", query=query ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 1, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "AzureDataExplorer" assert data_feed.source.query == query finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_influxdb(self, client, variables): name = self.create_random_name("influxdb") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=InfluxDbDataFeedSource( connection_string="influxdb_connection_string", database="adsample", user_name="adreadonly", password="influxdb_password", query="'select * from adsample2 where Timestamp = @StartTime'" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 1, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "InfluxDB" assert data_feed.source.query is not None assert data_feed.source.database == "adsample" assert data_feed.source.user_name == "adreadonly" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_datalake(self, client, variables): name = self.create_random_name("datalake") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=AzureDataLakeStorageGen2DataFeedSource( account_name="adsampledatalakegen2", account_key="azure_datalake_account_key", file_system_name="adsample", directory_template="%Y/%m/%d", file_template="adsample.json" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost", display_name="Cost"), DataFeedMetric(name="revenue", display_name="Revenue") ], dimensions=[ DataFeedDimension(name="category", display_name="Category"), DataFeedDimension(name="city", display_name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 1, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "AzureDataLakeStorageGen2" assert data_feed.source.account_name == "adsampledatalakegen2" assert data_feed.source.file_system_name == "adsample" assert data_feed.source.directory_template == "%Y/%m/%d" assert data_feed.source.file_template == "adsample.json" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_mongodb(self, client, variables): name = self.create_random_name("mongodb") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=MongoDbDataFeedSource( connection_string="mongodb_connection_string", database="adsample", command='{"find": "adsample", "filter": { Timestamp: { $eq: @StartTime }} "batchSize": 2000,}' ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 1, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "MongoDB" assert data_feed.source.database == "adsample" assert data_feed.source.command, '{"find": "adsample", "filter": { Timestamp: { $eq: @StartTime }} "batchSize": 2000 == }' finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_mysql(self, client, variables): name = self.create_random_name("mysql") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=MySqlDataFeedSource( connection_string="mysql_connection_string", query="'select * from adsample2 where Timestamp = @StartTime'" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 1, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "MySql" assert data_feed.source.query == "'select * from adsample2 where Timestamp = @StartTime'" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_create_data_feed_with_postgresql(self, client, variables): name = self.create_random_name("postgresql") if self.is_live: variables["data_feed_name"] = name async with client: try: data_feed = await client.create_data_feed( name=variables["data_feed_name"], source=PostgreSqlDataFeedSource( connection_string="postgresql_connection_string", query="'select * from adsample2 where Timestamp = @StartTime'" ), granularity=DataFeedGranularity( granularity_type="Daily", ), schema=DataFeedSchema( metrics=[ DataFeedMetric(name="cost"), DataFeedMetric(name="revenue") ], dimensions=[ DataFeedDimension(name="category"), DataFeedDimension(name="city") ], ), ingestion_settings=DataFeedIngestionSettings( ingestion_begin_time=datetime.datetime(2019, 1, 1), ), ) if self.is_live: variables["data_feed_id"] = data_feed.id assert data_feed.id is not None assert data_feed.created_time is not None assert data_feed.name is not None assert data_feed.source.data_source_type == "PostgreSql" assert data_feed.source.query == "'select * from adsample2 where Timestamp = @StartTime'" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_list_data_feeds(self, client): async with client: feeds = client.list_data_feeds() feeds_list = [] async for item in feeds: feeds_list.append(item) assert len(feeds_list) > 0 @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_list_data_feeds_with_data_feed_name(self, client): async with client: feeds = client.list_data_feeds(data_feed_name="azureSqlDatafeed") feeds_list = [] async for item in feeds: feeds_list.append(item) assert len(feeds_list) == 1 @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_list_data_feeds_with_skip(self, client): all_feeds = client.list_data_feeds() skipped_feeds = client.list_data_feeds(skip=10) all_feeds_list = [] async for item in all_feeds: all_feeds_list.append(item) skipped_feeds_list = [] async for item in skipped_feeds: skipped_feeds_list.append(item) assert len(all_feeds_list) > len(skipped_feeds_list) @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_list_data_feeds_with_status(self, client): async with client: feeds = client.list_data_feeds(status="Active") feeds_list = [] async for item in feeds: feeds_list.append(item) assert len(feeds_list) > 0 @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_list_data_feeds_with_source_type(self, client): async with client: feeds = client.list_data_feeds(data_source_type="SqlServer") feeds_list = [] async for item in feeds: feeds_list.append(item) assert len(feeds_list) > 0 @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer() @recorded_by_proxy_async async def test_list_data_feeds_with_granularity_type(self, client): async with client: feeds = client.list_data_feeds(granularity_type="Daily") feeds_list = [] async for item in feeds: feeds_list.append(item) assert len(feeds_list) > 0 @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy_async async def test_update_data_feed_with_model(self, client, variables): async with client: try: update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name data_feed = await client.get_data_feed(variables["data_feed_id"]) data_feed.name = variables["data_feed_updated_name"] data_feed.data_feed_description = "updated" data_feed.schema.timestamp_column = "time" data_feed.ingestion_settings.ingestion_begin_time = datetime.datetime(2021, 12, 10) data_feed.ingestion_settings.ingestion_start_offset = 1 data_feed.ingestion_settings.data_source_request_concurrency = 1 data_feed.ingestion_settings.ingestion_retry_delay = 120 data_feed.ingestion_settings.stop_retry_after = 1 data_feed.rollup_settings.rollup_type = "AlreadyRollup" data_feed.rollup_settings.rollup_method = "Sum" data_feed.rollup_settings.rollup_identification_value = "sumrollup" data_feed.rollup_settings.auto_rollup_group_by_column_names = [] data_feed.missing_data_point_fill_settings.fill_type = "CustomValue" data_feed.missing_data_point_fill_settings.custom_fill_value = 2 data_feed.access_mode = "Public" data_feed.viewers = ["updated"] data_feed.status = "Paused" data_feed.action_link_template = "updated" data_feed.source.connection_string = "updated" data_feed.source.query = "get data" await client.update_data_feed(data_feed) updated = await client.get_data_feed(variables["data_feed_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.data_feed_description == "updated" assert updated.schema.timestamp_column == "time" assert updated.ingestion_settings.ingestion_begin_time == datetime.datetime(2021, 12, 10, tzinfo=tzutc()) assert updated.ingestion_settings.ingestion_start_offset == 1 assert updated.ingestion_settings.data_source_request_concurrency == 1 assert updated.ingestion_settings.ingestion_retry_delay == 120 assert updated.ingestion_settings.stop_retry_after == 1 assert updated.rollup_settings.rollup_type == "AlreadyRollup" assert updated.rollup_settings.rollup_method == "Sum" assert updated.rollup_settings.rollup_identification_value == "sumrollup" assert updated.missing_data_point_fill_settings.fill_type == "CustomValue" assert updated.missing_data_point_fill_settings.custom_fill_value == 2 assert updated.access_mode == "Public" assert updated.viewers == ["updated"] assert updated.status == "Paused" assert updated.action_link_template == "updated" assert updated.source.query == "get data" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy_async async def test_update_data_feed_with_kwargs(self, client, variables): async with client: try: data_feed = await client.get_data_feed(variables["data_feed_id"]) update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name await client.update_data_feed( data_feed.id, name=variables["data_feed_updated_name"], data_feed_description="updated", timestamp_column="time", ingestion_begin_time=datetime.datetime(2021, 9, 10), ingestion_start_offset=1, data_source_request_concurrency=1, ingestion_retry_delay=120, stop_retry_after=1, rollup_type="AlreadyRollup", rollup_method="Sum", rollup_identification_value="sumrollup", auto_rollup_group_by_column_names=[], fill_type="CustomValue", custom_fill_value=2, access_mode="Public", viewers=["updated"], status="Paused", action_link_template="updated", source=SqlServerDataFeedSource( connection_string="updated", query="get data" ) ) updated = await client.get_data_feed(variables["data_feed_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.data_feed_description == "updated" assert updated.schema.timestamp_column == "time" assert updated.ingestion_settings.ingestion_begin_time == datetime.datetime(2021, 9, 10, tzinfo=tzutc()) assert updated.ingestion_settings.ingestion_start_offset == 1 assert updated.ingestion_settings.data_source_request_concurrency == 1 assert updated.ingestion_settings.ingestion_retry_delay == 120 assert updated.ingestion_settings.stop_retry_after == 1 assert updated.rollup_settings.rollup_type == "AlreadyRollup" assert updated.rollup_settings.rollup_method == "Sum" assert updated.rollup_settings.rollup_identification_value == "sumrollup" assert updated.missing_data_point_fill_settings.fill_type == "CustomValue" assert updated.missing_data_point_fill_settings.custom_fill_value == 2 assert updated.access_mode == "Public" assert updated.viewers == ["updated"] assert updated.status == "Paused" assert updated.action_link_template == "updated" assert updated.source.query == "get data" finally: await self.clean_up(client.delete_data_feed, variables) return variables @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy_async async def test_update_data_feed_with_model_and_kwargs(self, client, variables): async with client: try: update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name data_feed = await client.get_data_feed(variables["data_feed_id"]) data_feed.name = variables["data_feed_updated_name"] data_feed.data_feed_description = "updateMe" data_feed.schema.timestamp_column = "don't update me" data_feed.ingestion_settings.ingestion_begin_time = datetime.datetime(2021, 9, 22) data_feed.ingestion_settings.ingestion_start_offset = 2 data_feed.ingestion_settings.data_source_request_concurrency = 2 data_feed.ingestion_settings.ingestion_retry_delay = 2 data_feed.ingestion_settings.stop_retry_after = 2 data_feed.rollup_settings.rollup_type = "don't update me" data_feed.rollup_settings.rollup_method = "don't update me" data_feed.rollup_settings.rollup_identification_value = "don't update me" data_feed.rollup_settings.auto_rollup_group_by_column_names = [] data_feed.missing_data_point_fill_settings.fill_type = "don't update me" data_feed.missing_data_point_fill_settings.custom_fill_value = 4 data_feed.access_mode = "don't update me" data_feed.viewers = ["don't update me"] data_feed.status = "don't update me" data_feed.action_link_template = "don't update me" data_feed.source.connection_string = "don't update me" data_feed.source.query = "don't update me" await client.update_data_feed( data_feed, timestamp_column="time", ingestion_begin_time=datetime.datetime(2021, 9, 10), ingestion_start_offset=1, data_source_request_concurrency=1, ingestion_retry_delay=120, stop_retry_after=1, rollup_type="AlreadyRollup", rollup_method="Sum", rollup_identification_value="sumrollup", auto_rollup_group_by_column_names=[], fill_type="CustomValue", custom_fill_value=2, access_mode="Public", viewers=["updated"], status="Paused", action_link_template="updated", source=SqlServerDataFeedSource( connection_string="updated", query="get data" ) ) updated = await client.get_data_feed(variables["data_feed_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.data_feed_description == "updateMe" assert updated.schema.timestamp_column == "time" assert updated.ingestion_settings.ingestion_begin_time == datetime.datetime(2021, 9, 10, tzinfo=tzutc()) assert updated.ingestion_settings.ingestion_start_offset == 1 assert updated.ingestion_settings.data_source_request_concurrency == 1 assert updated.ingestion_settings.ingestion_retry_delay == 120 assert updated.ingestion_settings.stop_retry_after == 1 assert updated.rollup_settings.rollup_type == "AlreadyRollup" assert updated.rollup_settings.rollup_method == "Sum" assert updated.rollup_settings.rollup_identification_value == "sumrollup" assert updated.missing_data_point_fill_settings.fill_type == "CustomValue" assert updated.missing_data_point_fill_settings.custom_fill_value == 2 assert updated.access_mode == "Public" assert updated.viewers == ["updated"] assert updated.status == "Paused" assert updated.action_link_template == "updated" assert updated.source.query == "get data" finally: await self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.skip("skip test") @AzureRecordedTestCase.await_prepared_test @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy_async async def test_update_data_feed_by_reseting_properties(self, client, variables): async with client: try: data_feed = await client.get_data_feed(variables["data_feed_id"]) update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name await client.update_data_feed( data_feed.id, name=variables["data_feed_updated_name"], data_feed_description=None, timestamp_column=None, ingestion_start_offset=None, data_source_request_concurrency=None, ingestion_retry_delay=None, stop_retry_after=None, rollup_type=None, rollup_method=None, rollup_identification_value=None, auto_rollup_group_by_column_names=None, fill_type=None, custom_fill_value=None, access_mode=None, viewers=None, status=None, action_link_template=None, ) updated = await client.get_data_feed(variables["data_feed_id"]) assert updated.name == variables["data_feed_updated_name"] # assert updated.data_feed_description == "" # doesn't currently clear # assert updated.schema.timestamp_column == "" # doesn't currently clear assert updated.ingestion_settings.ingestion_begin_time == datetime.datetime(2019, 10, 1, tzinfo=tzutc()) assert updated.ingestion_settings.ingestion_start_offset == -1 assert updated.ingestion_settings.data_source_request_concurrency == 0 assert updated.ingestion_settings.ingestion_retry_delay == -1 assert updated.ingestion_settings.stop_retry_after == -1 assert updated.rollup_settings.rollup_type == "NoRollup" assert updated.rollup_settings.rollup_method == "None" assert updated.rollup_settings.rollup_identification_value is None assert updated.missing_data_point_fill_settings.fill_type == "SmartFilling" assert updated.missing_data_point_fill_settings.custom_fill_value == 0 assert updated.access_mode == "Private" # assert updated.viewers == ["viewers"] # doesn't currently clear assert updated.status == "Active" # assert updated.action_link_template == "updated" # doesn't currently clear finally: await self.clean_up(client.delete_data_feed, variables) return variables

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0.87095

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0.835856

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0.773826

0.763847

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54,314

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50.666045

0.829049

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null

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49a490ffde21853d418bf362e235f837327f237f

65,831

py

Python

local/Model/ModelLayer.py

markusj1201/le_flask_alpha

d86f7de41abdae257350c853d16fc57b67231501

[ "MIT" ]

1

2020-01-27T20:48:22.000Z

local/Model/ModelLayer.py

markusj1201/le_flask_alpha

d86f7de41abdae257350c853d16fc57b67231501

[ "MIT" ]

null

local/Model/ModelLayer.py

markusj1201/le_flask_alpha

d86f7de41abdae257350c853d16fc57b67231501

[ "MIT" ]

1

2020-01-30T14:00:20.000Z

#DB Configuration def GetConfig(): config = {'server' : 'localhost', 'database' : 'LEForecastDatabase', 'UID' : '', 'password' : ''} return config def ValidateAndClauseArguments(kw_dict, table_name, DBobj): from Model import BPXDatabase as bpx from Model import QueryFile as qf col_query = qf.ColumnQuery(table_name) results = DBobj.Query(col_query) col_list = results[1]['column_name'].to_list() clause = [] for key, value in kw_dict.items(): if key in col_list: in_clause = AddInClause(value) clause.append(key + ' in ' + in_clause) if kw_dict: stmt = 'where ' count = 1 for item in clause: if count == 1: stmt = stmt + item else: stmt = stmt + ' and ' + item count = count + 1 else: stmt = '' return stmt def AddInClause(item_list): count = 1 ret = '(' for item in item_list: if count != len(item_list): ret = ret + '\'' + str(item) + '\', ' else: ret = ret + '\'' + str(item) + '\')' count = count + 1 return ret def ReadFromTables(DBObj, table_name, where_clause): from Model import BPXDatabase as bpx #Check the where_Clause to make sure it is not empty: # before, after = str.split(where_clause, 'where ') # if not after: # where_clause = '' #Form basic select statement stmt = 'select * from ' + table_name + ' ' + where_clause results = DBObj.Query(stmt) return results[1] class ForecastHeader: def __init__(self, DBObj, WellName=[], CorpID=[], ForecastName=[]): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.table = 'Forecast_Header' self.WellName = WellName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.ForecastName = ForecastName def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.WellName: where_dict['WellName'] = self.WellName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.ForecastName: where_dict['ForecastName'] = self.ForecastName #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) header_df = m.ReadFromTables(self.DBObj, self.table, where_clause) #Convert df to table row objects rows = [] for idx, item in header_df.iterrows(): Arps_Dict = {} Arps_Dict['b'] = item['DCA_b'] Arps_Dict['qi'] = item['DCA_qi'] Arps_Dict['Di'] = item['DCA_Di'] row = m.ForecastHeaderRow(item['WellName'], item['CorpID'], item['ForecastName'], item['GFOzYear'], item['Aries_ScenarioID'], Arps_Dict, item['GFOz'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class ForecastHeaderRow: def __init__(self, WellName, CorpID, ForecastName, ForecastYear, scenarioName, Arps, GFO, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.WellName = WellName self.CorpID = CorpID self.ForecastName = ForecastName self.ForecastYear = ForecastYear self.scenarioName = scenarioName if Arps: self.Di = str(Arps['Di']) self.qi = str(Arps['qi']) self.b = str(Arps['b']) else: self.Di = '' self.qi = '' self.b = '' if GFO: self.GFO = GFO else: self.GFO = False if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') hdr_insert_statement = 'insert into [LEForecastDatabase].[dbo].[Forecast_Header] (WellName, CorpID, ForecastName, GFOz, \n'\ 'GFOzYear, Aries_ScenarioID, DCA_Di, DCA_qi, DCA_b, Update_Date, Update_User)\n'\ ' values (\'' + self.WellName + '\', \'' + self.CorpID + '\', \'' + self.ForecastName + '\', \'' + str(self.GFO) + '\',\n'\ '\'' + str(self.ForecastYear) + '\', \'' + self.scenarioName + '\', \'' + str(self.Di) + '\', \'' + str(self.qi) + '\', \'' + str(self.b) + '\'\n'\ ', convert(datetime, \'' + Update_Date + '\', 120), \'' + Update_User + '\')' Success, Message = self.DBObj.Command(hdr_insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error writing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for Forecast Header table, Query the table for existing entry #ForecastName, CorpID ForecastHeaderObj = m.ForecastHeader(self.DBObj, [], [self.CorpID], [self.ForecastName]) rows, Success, Message = ForecastHeaderObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of header.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Forecast Data table. ' + str(ex)) return Success, Messages def Delete(self): Success = True Messages = [] try: delete_stmt = 'delete from [LEForecastDatabase].[dbo].[Forecast_Header] where ForecastName = \'' + self.ForecastName + '\' and CorpID = \'' + self.CorpID + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class ForecastData: def __init__(self, DBObj, HeaderName=[], CorpID=[], Date_Key = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.table = 'Forecast_Data' self.HeaderName = HeaderName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.Date_Key = Date_Key def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd from datetime import datetime Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.HeaderName: where_dict['HeaderName'] = self.HeaderName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.Date_Key: if isinstance(self.Date_Key[0], datetime): self.Date_Key[0] = self.Date_Key[0].strftime('%Y-%m-%d %H:%M:%S') where_dict['Date_Key'] = self.Date_Key #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.ForecastDataRow(item['HeaderName'] , item['CorpID'], item['Date_Key'], item['Gas_Production'], item['Oil_Production'], item['Water_Production'], item['GasNettingFactor'], item['OilNettingFactor'], item['WaterNettingFactor'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class ForecastDataRow: def __init__(self, HeaderName, CorpID, Date_Key, Gas_Production, Oil_Production, Water_Production, GasNF, OilNF, WaterNF, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.HeaderName = HeaderName self.CorpID = CorpID self.Date_Key = Date_Key self.Gas_Production = Gas_Production self.Oil_Production = Oil_Production self.Water_Production = Water_Production if GasNF: self.GasNF = GasNF else: self.GasNF = 0 if OilNF: self.OilNF = OilNF else: self.OilNF = 0 if WaterNF: self.WaterNF = WaterNF else: self.WaterNF = 0 if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') if not self.Gas_Production: self.Gas_Production = 0 if not self.Oil_Production: self.Oil_Production = 0 if not self.Water_Production: self.Water_Production = 0 insert_statement = 'insert into [LEForecastDatabase].[dbo].[Forecast_Data] (HeaderName, CorpID, Date_Key, Gas_Production, Oil_Production, Water_Production, '\ 'GasNettingFactor, OilNettingFactor, WaterNettingFactor, Update_Date, Update_User)'\ ' values (\'' + self.HeaderName + '\', \'' + self.CorpID + '\', convert(datetime, \'' + self.Date_Key + '\', 120) , ' + str(self.Gas_Production) + ',\n'\ '' + str(self.Oil_Production) + ', ' + str(self.Water_Production) + ', ' + str(self.GasNF) + ', ' + str(self.OilNF) + ', ' + str(self.WaterNF) + ', '\ ' convert(datetime, \'' + Update_Date + '\', 120), \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error writing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for Forecast Header table, Query the table for existing entry #HeaderName, CorpID, Date_Key ForecastDataObj = m.ForecastData(self.DBObj, [self.HeaderName], [self.CorpID], [self.Date_Key]) rows, Success, Message = ForecastDataObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Forecast Data table. ' + str(ex)) return Success, Messages def Delete(self): Success = True Messages = [] from datetime import datetime try: if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') delete_stmt = 'delete from [LEForecastDatabase].[dbo].[Forecast_Data] where HeaderName = \'' + self.HeaderName + '\' and CorpID = \'' + self.CorpID + '\' and Date_Key = \'' + self.Date_Key + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class LEHeader: def __init__(self, DBObj, WellName=[], CorpID=[], LEName=[], LE_Date = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.table = 'LE_Header' self.WellName = WellName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.LEName = LEName self.LE_Date = LE_Date def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.WellName: where_dict['WellName'] = self.WellName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.LEName: where_dict['LEName'] = self.LEName if self.LE_Date: where_dict['LE_Date'] = self.LE_Date #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) header_df = m.ReadFromTables(self.DBObj, self.table, where_clause) #Convert df to table row objects rows = [] for idx, item in header_df.iterrows(): row = m.LEHeaderRow(item['LEName'], item['WellName'], item['CorpID'], item['ForecastGeneratedFrom'], item['Wedge'], item['LE_Date'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class LEHeaderRow: def __init__(self, LEName, WellName, CorpID, ForecastGeneratedFrom, Wedge, LE_Date, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.LEName = LEName self.CorpID = CorpID self.ForecastGeneratedFrom = ForecastGeneratedFrom self.WellName = WellName self.Wedge = Wedge self.LE_Date = LE_Date if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.LE_Date, datetime): self.LE_Date = self.LE_Date.strftime('%Y-%m-%d %H:%M:%S') insert_statement = 'insert into [LEForecastDatabase].[dbo].[LE_Header] (LEName, WellName, CorpID, ForecastGeneratedFrom, Wedge, LE_Date, Update_User, Update_Date) \n'\ 'values (\'' + self.LEName + '\', \'' + self.WellName + '\', \'' + self.CorpID + '\', \'' + self.ForecastGeneratedFrom + '\', \'' + self.Wedge + '\', convert(datetime, \'' + self.LE_Date + '\', 120), \'' + Update_User + '\', convert(datetime,\'' + Update_Date + '\', 120))' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error reading from the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for LE Header table, Query the table for existing entry LEHeaderObj = m.LEHeader(self.DBObj, [self.WellName], [self.CorpID], [self.LEName], [self.LE_Date]) rows, Success, Message = LEHeaderObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Forecast Data table. ' + str(ex)) return Success, Messages def Delete(self): Success = True Messages = [] #To Do - Delete all rows associated with this header as well try: delete_stmt = 'delete from [LEForecastDatabase].[dbo].[LE_Header] where LEName = \'' + self.LEName + '\' and CorpID = \'' + self.CorpID + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class LEData: def __init__(self, DBObj, HeaderName=[], CorpID=[], Date_Key = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.table = 'LE_Data' self.HeaderName = HeaderName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.Date_Key = Date_Key def ReadTable(self): from Model import BPXDatabase as bpx import pandas as pd from Model import ModelLayer as m from datetime import datetime Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.HeaderName: where_dict['HeaderName'] = self.HeaderName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.Date_Key: if isinstance(self.Date_Key[0], datetime): self.Date_Key[0] = self.Date_Key[0].strftime('%Y-%m-%d %H:%M:%S') where_dict['Date_Key'] = self.Date_Key #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.LEDataRow(item['HeaderName'] , item['CorpID'], item['Date_Key'], item['Gas_Production'], item['Oil_Production'], item['Water_Production'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class LEDataRow: def __init__(self, HeaderName, CorpID, Date_Key, Gas_Production, Oil_Production, Water_Production, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.HeaderName = HeaderName self.CorpID = CorpID self.Date_Key = Date_Key self.Gas_Production = Gas_Production self.Oil_Production = Oil_Production self.Water_Production = Water_Production if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') if not self.Gas_Production: self.Gas_Production = 0 if not self.Oil_Production: self.Oil_Production = 0 if not self.Water_Production: self.Water_Production = 0 insert_statement = 'insert into [LEForecastDatabase].[dbo].[LE_Data] (HeaderName, CorpID, Date_Key, Gas_Production, Oil_Production, Water_Production, Update_Date, Update_User)'\ ' values (\'' + self.HeaderName + '\', \'' + self.CorpID + '\', convert(datetime, \'' + self.Date_Key + '\', 120) , ' + str(self.Gas_Production) + ',\n'\ '' + str(self.Oil_Production) + ', ' + str(self.Water_Production) + ', convert(datetime, \'' + Update_Date + '\', 120), \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error writing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for LE Data table, Query the table for existing entry LEDataObj = m.LEData(self.DBObj, [self.HeaderName], [self.CorpID], [self.Date_Key]) rows, Success, Message = LEDataObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the LE Data table. ' + str(ex)) return Success, Messages def Delete(self): from datetime import datetime Success = True Messages = [] try: if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') delete_stmt = 'delete from [LEForecastDatabase].[dbo].[LE_Data] where HeaderName = \'' + self.HeaderName + '\' and CorpID = \'' + self.CorpID + '\' and Date_Key = \'' + self.Date_Key + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class GasNetting: def __init__(self, DBObj, WellName=[], CorpID=[], NettingDate = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.table = 'GasNettingValues' self.WellName = WellName self.NettingDate = NettingDate self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.WellName: where_dict['WellName'] = self.WellName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.NettingDate: where_dict['NettingDate'] = self.NettingDate #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.GasNettingRow(item['WellName'] , item['CorpID'], item['NettingValue'], item['NettingDate'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class GasNettingRow: def __init__(self, WellName, CorpID, NettingValue, NettingDate, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.WellName = WellName self.CorpID = CorpID self.NettingValue = NettingValue self.NettingDate = NettingDate if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from Model import ModelLayer as m from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.NettingDate, datetime): self.NettingDate = self.NettingDate.strftime('%Y-%m-%d %H:%M:%S') insert_statement = 'insert into [LEForecastDatabase].[dbo].[GasNettingValues] (WellName, CorpID, NettingValue, NettingDate, Update_Date, Update_User) values \n'\ '(\'' + self.WellName + '\', \'' + self.CorpID + '\', \'' + str(self.NettingValue) + '\', \'' + self.NettingDate + '\', \'' + Update_Date + '\', \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error witing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for Netting Values table, Query the table for existing entry NettingObj = m.GasNetting(self.DBObj, [self.WellName], [self.CorpID], [self.NettingDate]) rows, Success, Message = NettingObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Netting Data table. ' + str(ex)) return Success, Messages def Delete(self): from datetime import datetime Success = True Messages = [] try: if isinstance(self.NettingDate, datetime): self.NettingDate = self.NettingDate.strftime('%Y-%m-%d %H:%M:%S') delete_stmt = 'delete from [LEForecastDatabase].[dbo].[GasNettingValues] where WellName = \'' + self.WellName + '\' and CorpID = \'' + self.CorpID + '\' and NettingDate = \'' + self.NettingDate + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class OilNetting: def __init__(self, DBObj, WellName=[], CorpID=[], NettingDate = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.table = 'OilNettingValues' self.WellName = WellName self.CorpID = CorpID self.NettingDate = NettingDate if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.WellName: where_dict['WellName'] = self.WellName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.NettingDate: where_dict['NettingDate'] = self.NettingDate #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.GasNettingRow(item['WellName'] , item['CorpID'], item['NettingValue'], item['NettingDate'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class OilNettingRow: def __init__(self, WellName, CorpID, NettingValue, NettingDate, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.WellName = WellName self.CorpID = CorpID self.NettingValue = NettingValue self.NettingDate = NettingDate if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from Model import ModelLayer as m from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.NettingDate, datetime): self.NettingDate = self.NettingDate.strftime('%Y-%m-%d %H:%M:%S') insert_statement = 'insert into [LEForecastDatabase].[dbo].[OilNettingValues] (WellName, CorpID, NettingValue, NettingDate, Update_Date, Update_User) values \n'\ '(\'' + self.WellName + '\', \'' + self.CorpID + '\', \'' + str(self.NettingValue) + '\', \'' + self.NettingDate + '\', \'' + Update_Date + '\', \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error witing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for Netting Values table, Query the table for existing entry NettingObj = m.OilNetting(self.DBObj, [self.WellName], [self.CorpID], [self.NettingDate]) rows, Success, Message = NettingObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Netting Data table. ' + str(ex)) return Success, Messages def Delete(self): from datetime import datetime Success = True Messages = [] try: if isinstance(self.NettingDate, datetime): self.NettingDate = self.NettingDate.strftime('%Y-%m-%d %H:%M:%S') delete_stmt = 'delete from [LEForecastDatabase].[dbo].[OilNettingValues] where WellName = \'' + self.WellName + '\' and CorpID = \'' + self.CorpID + '\' and NettingDate = \'' + self.NettingDate + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class LESummary: def __init__(self, DBObj, SummaryName=[], Wedge=[], LEName = [], GFOForecastName = []): from Model import BPXDatabase as bpx import pandas as pd from Model import ModelLayer as m self.table = 'LE_Summary' self.SummaryName = SummaryName self.Wedge = Wedge self.LEName = LEName self.GFOForecastName = GFOForecastName if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def ReadTable(self): from Model import BPXDatabase as bpx import pandas as pd from Model import ModelLayer as m Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.SummaryName: where_dict['SummaryName'] = self.SummaryName if self.LEName: where_dict['LEName'] = self.LEName if self.Wedge: where_dict['Wedge'] = self.Wedge if self.GFOForecastName: where_dict['GFOForecastName'] = self.GFOForecastName #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.LESummaryRow(item['SummaryName'], item['Wedge'], item['Midstream'], item['Reason'], item['Comments'], item['SummaryDate'], item['LEName'], item['GFOForecastName'], item['MonthlyAvgMBOED'], item['QuarterlyAvgMBOED'], item['AnnualAvgMBOED'], item['MonthlyGFOMBOED'], item['QuarterlyGFOMBOED'], item['AnnualGFOMBOED'], item['MonthlyVariance'], item['QuarterlyVariance'], item['AnnualVariance'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class LESummaryRow: def __init__(self, SummaryName, Wedge, Midstream, Reason, Comments, SummaryDate, LEName, GFOForecastName, MonthlyAvgMBOED, QuarterlyAvgMBOED, AnnualAvgMBOED, MonthlyGFOMBOED, QuarterlyGFOMBOED, AnnualGFOMBOED, MonthlyVariance, QuarterlyVariance, AnnualVariance, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.SummaryName = SummaryName self.Wedge = Wedge self.Midstream = Midstream self.Reason = Reason self.Comments = Comments self.SummaryDate = SummaryDate self.LEName= LEName self.GFOForecastName = GFOForecastName self.MonthlyAvgMBOED = MonthlyAvgMBOED self.QuarterlyAvgMBOED = QuarterlyAvgMBOED self.AnnualAvgMBOED = AnnualAvgMBOED self.MonthlyGFOMBOED = MonthlyGFOMBOED self.QuarterlyGFOMBOED = QuarterlyGFOMBOED self.AnnualGFOMBOED = AnnualGFOMBOED self.MonthlyVariance = MonthlyVariance self.QuarterlyVariance = QuarterlyVariance self.AnnualVariance = AnnualVariance if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.SummaryDate, datetime): self.SummaryDate = self.SummaryDate.strftime('%Y-%m-%d %H:%M:%S') insert_statement = 'insert into [LEForecastDatabase].[dbo].[LE_Summary] (SummaryName, Wedge, Midstream, Reason, Comments, SummaryDate, \n'\ ' LEName, GFOForecastName, MonthlyAvgMBOED, QuarterlyAvgMBOED, AnnualAvgMBOED, MonthlyGFOMBOED, QuarterlyGFOMBOED, AnnualGFOMBOED, \n'\ ' MonthlyVariance, QuarterlyVariance, AnnualVariance, Update_Date, Update_User ) values \n'\ '(\'' + self.SummaryName + '\', \'' + self.Wedge + '\', \'' + self.Midstream + '\', \'' + self.Reason + '\', \'' + self.Comments + '\', \'' + self.SummaryDate + '\',\n'\ ' \'' + self.LEName + '\', \'' + self.GFOForecastName + '\', \n'\ '\'' + str(self.MonthlyAvgMBOED) + '\', \'' + str(self.QuarterlyAvgMBOED) + '\', \'' + str(self.AnnualAvgMBOED) + '\', '\ '\'' + str(self.MonthlyGFOMBOED) + '\', \'' + str(self.QuarterlyGFOMBOED) + '\', \'' + str(self.AnnualGFOMBOED) + '\', \'' + str(self.MonthlyVariance) + '\', '\ '\'' + str(self.QuarterlyVariance) + '\', \''+ str(self.AnnualVariance) + '\', \'' + Update_Date + '\', \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error writing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for LE table, Query the table for existing entry LESummaryObj = m.LESummary( self.DBObj, [self.SummaryDate], [self.WellName], [self.CorpID], [self.Area]) rows, Success, Message = LESummaryObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Summary table. ' + str(ex)) return Success, Messages def Delete(self): Success = True Messages = [] try: delete_stmt = 'delete from [LEForecastDatabase].[dbo].[LE_Summary] where SummaryName = \'' + self.SummaryName + '\' and CorpID = \'' + self.CorpID + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class FracHitMultipliers: def __init__(self, DBObj, LEName=[], CorpID=[], Date_Key = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.table = 'Frac_Hit_Multipliers' self.LEName = LEName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.Date_Key = Date_Key def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.LEName: where_dict['LEName'] = self.LEName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.Date_Key: where_dict['Date_Key'] = self.Date_Key #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.FracHitMultipliersRow(item['LEName'] , item['CorpID'], item['Date_Key'], item['Multiplier'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class FracHitMultipliersRow: def __init__(self, LEName, CorpID, Date_Key, Multiplier, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.LEName = LEName self.CorpID = CorpID self.Date_Key = Date_Key self.Multiplier = Multiplier if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') if not isinstance(self.Multiplier, str): self.Multiplier = str(self.Multiplier) insert_statement = 'insert into [LEForecastDatabase].[dbo].[Frac_Hit_Multipliers] (LEName, CorpID, Date_Key, Multiplier, Update_Date, Update_User ) values \n'\ '(\'' + self.LEName + '\', \'' + self.CorpID + '\', \'' + self.Date_Key + '\', \'' + self.Multiplier + '\', \'' + Update_Date + '\', \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error reading from the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for Multipliers table, Query the table for existing entry FracHitMultipliersObj = m.FracHitMultipliers(self.DBObj, [self.LEName], [self.CorpID], [self.Date_Key]) rows, Success, Message = FracHitMultipliersObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Forecast Data table. ' + str(ex)) return Success, Messages def Delete(self): from datetime import datetime Success = True Messages = [] try: if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') delete_stmt = 'delete from [LEForecastDatabase].[dbo].[Frac_Hit_Multipliers] where LEName = \'' + self.LEName + '\' and CorpID = \'' + self.CorpID + '\' and Date_Key = \'' + self.Date_Key + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class AreaAggregation: def __init__(self, DBObj, AggregateName = [], WellNames = [], CorpIDs = []): from Model import ModelLayer as m from Model import BPXDatabase as bpx self.AggregateName = AggregateName self.WellNames = WellNames self.CorpIDs = CorpIDs if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.table = 'AreaAggregation' def ReadTable(self): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.AggregateName: where_dict['AggregateName'] = self.AggregateName if self.WellNames: where_dict['WellName'] = self.WellNames if self.CorpIDs: where_dict['CorpID'] = self.CorpIDs #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.AreaAggregationRow(item['AggregateName'] , item['WellName'], item['CorpID'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class AreaAggregationRow: def __init__(self, AggregateName, WellName, CorpID, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.AggregateName = AggregateName self.WellName = WellName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') insert_statement = 'insert into [LEForecastDatabase].[dbo].[AreaAggregation] (AggregateName, WellName, CorpID, Update_Date, Update_User ) values \n'\ '(\'' + self.AggregateName + '\', \'' + self.WellName + '\', \'' + self.CorpID + '\', \'' + Update_Date + '\', \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error reading from the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for Aggregation Area table, Query the table for existing entry AreaAggregationObj = m.AreaAggregation(self.DBObj, [self.LEName], [self.CorpID], [self.Date_Key]) rows, Success, Message = AreaAggregationObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Forecast Data table. ' + str(ex)) return Success, Messages def Delete(self): from datetime import datetime Success = True Messages = [] try: delete_stmt = 'delete from [LEForecastDatabase].[dbo].[AreaAggregation] where AggregateName = \'' + self.AggregateName + '\' and CorpID = \'' + self.CorpID + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages class ProductionAdjustments: def __init__(self, DBObj, LEName=[], CorpID=[], Date_Key = []): from Model import BPXDatabase as bpx from Model import ModelLayer as m import pandas as pd self.table = 'ProductionAdjustments' self.LEName = LEName self.CorpID = CorpID if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj self.Date_Key = Date_Key def ReadTable(self): from Model import BPXDatabase as bpx import pandas as pd from Model import ModelLayer as m from datetime import datetime Success = True Messages = [] header_df = pd.DataFrame() try: #Create dictionary to pass to where clause where_dict = {} if self.LEName: where_dict['LEName'] = self.LEName if self.CorpID: where_dict['CorpID'] = self.CorpID if self.Date_Key: if isinstance(self.Date_Key[0], datetime): self.Date_Key[0] = self.Date_Key[0].strftime('%Y-%m-%d %H:%M:%S') where_dict['Date_Key'] = self.Date_Key #Interpret key words as clauses used to filter query where_clause = m.ValidateAndClauseArguments(where_dict, self.table, self.DBObj) data_df = m.ReadFromTables(self.DBObj, self.table, where_clause) rows = [] for idx, item in data_df.iterrows(): row = m.ProductionAdjustmentsRow(item['LEName'] , item['WellName'], item['CorpID'], item['Date_Key'], item['AdjustedGasProduction'], item['AdjustedOilProduction'], item['AdjustedWaterProduction'], self.DBObj) rows.append(row) except Exception as ex: rows = [] Success = False Messages.append('Error reading from the database. ' + str(ex)) return rows, Success, Messages class ProductionAdjustmentsRow: def __init__(self, LEName, WellName, CorpID, Date_Key, AdjustedGasProduction, AdjustedOilProduction, AdjustedWaterProduction, DBObj): from Model import BPXDatabase as bpx from Model import ModelLayer as m self.LEName = LEName self.WellName = WellName self.CorpID = CorpID self.Date_Key = Date_Key self.AdjustedGasProduction = AdjustedGasProduction self.AdjustedOilProduction = AdjustedOilProduction self.AdjustedWaterProduction = AdjustedWaterProduction if not DBObj: config = m.GetConfig() self.DBObj = bpx.BPXDatabase(config['server'], config['database'], config['UID']) else: self.DBObj = DBObj def Write(self, Update_User, Update_Date): from Model import BPXDatabase as bpx from datetime import datetime Success = True Messages = [] try: if isinstance(Update_Date, datetime): Update_Date = Update_Date.strftime('%Y-%m-%d %H:%M:%S') if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') if not self.AdjustedGasProduction: self.AdjustedGasProduction = 0 if not self.AdjustedOilProduction: self.AdjustedOilProduction = 0 if not self.AdjustedWaterProduction: self.AdjustedWaterProduction = 0 insert_statement = 'insert into [LEForecastDatabase].[dbo].[ProductionAdjustments] (LEName, WellName, CorpID, Date_Key, AdjustedGasProduction, AdjustedOilProduction, AdjustedWaterProduction, Update_Date, Update_User)'\ ' values (\'' + self.LEName + '\', \'' + self.WellName + '\', \'' + self.CorpID + '\', convert(datetime, \'' + self.Date_Key + '\', 120) , ' + str(self.AdjustedGasProduction) + ',\n'\ '' + str(self.AdjustedOilProduction) + ', ' + str(self.AdjustedWaterProduction) + ', convert(datetime, \'' + Update_Date + '\', 120), \'' + Update_User + '\')' Success, Message = self.DBObj.Command(insert_statement) if Success: self.DBObj.Command('commit') else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error writing to the database. ' + str(ex)) return Success, Messages def Update(self, Update_User, Update_Date): from Model import ModelLayer as m Success = True Messages = [] try: #Primary keys for LE Data table, Query the table for existing entry ProdAdjustmentsObj = m.ProductionAdjustments(self.DBObj, [self.LEName], [self.CorpID], [self.Date_Key]) rows, Success, Message = ProdAdjustmentsObj.ReadTable() if not Success: Messages.append(Message) if len(rows) > 1 or not Success: Success = False Messages.append('Unsuccessful in attempt to find single entry of data table.') elif len(rows) == 0: #If no row exists, go ahead and write one Success, Message = self.Write(Update_User, Update_Date) Messages.append else: Success, Message = self.Delete() if Success: Success, Message = self.Write(Update_User, Update_Date) Messages.append(Message) if not Success: rows[0].Write(Update_User, Update_Date) else: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error updating the Production Adjustments table. ' + str(ex)) return Success, Messages def Delete(self): from datetime import datetime Success = True Messages = [] try: if isinstance(self.Date_Key, datetime): self.Date_Key = self.Date_Key.strftime('%Y-%m-%d %H:%M:%S') delete_stmt = 'delete from [LEForecastDatabase].[dbo].[ProductionAdjustments] where LEName = \'' + self.LEName + '\' and CorpID = \'' + self.CorpID + '\' and Date_Key = \'' + self.Date_Key + '\'' Success, Message = self.DBObj.Command(delete_stmt) if not Success: Messages.append(Message) except Exception as ex: Success = False Messages.append('Error during delete operation. ' + str(ex)) return Success, Messages

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null

0

7

49a6050dfbe4ba042e42fdfbe7990e4308316eee

104,391

py

Python

atom/nucleus/python/nucleus_api/api/performance_api.py

sumit4-ttn/SDK

b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff

[ "Apache-2.0" ]

null

atom/nucleus/python/nucleus_api/api/performance_api.py

sumit4-ttn/SDK

b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff

[ "Apache-2.0" ]

null

atom/nucleus/python/nucleus_api/api/performance_api.py

sumit4-ttn/SDK

b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff

[ "Apache-2.0" ]

null

# coding: utf-8 """ Hydrogen Atom API The Hydrogen Atom API # noqa: E501 OpenAPI spec version: 1.7.0 Contact: info@hydrogenplatform.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from nucleus_api.api_client import ApiClient class PerformanceApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_account_performance_using_get(self, account_id, **kwargs): # noqa: E501 """Account Performance # noqa: E501 Get information on the performance of an account using IRR (Internal Rate of Return). You must provide the unique account_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_account_performance_using_get(account_id, async_req=True) >>> result = thread.get() :param async_req bool :param str account_id: Account Id -/account (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Client Benchmark or Tenant Benchmark id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type - /statistics :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_account_performance_using_get_with_http_info(account_id, **kwargs) # noqa: E501 else: (data) = self.get_account_performance_using_get_with_http_info(account_id, **kwargs) # noqa: E501 return data def get_account_performance_using_get_with_http_info(self, account_id, **kwargs): # noqa: E501 """Account Performance # noqa: E501 Get information on the performance of an account using IRR (Internal Rate of Return). You must provide the unique account_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_account_performance_using_get_with_http_info(account_id, async_req=True) >>> result = thread.get() :param async_req bool :param str account_id: Account Id -/account (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Client Benchmark or Tenant Benchmark id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type - /statistics :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['account_id', 'active_premium_period', 'annualized_return_period', 'benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_account_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'account_id' is set if ('account_id' not in params or params['account_id'] is None): raise ValueError("Missing the required parameter `account_id` when calling `get_account_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'account_id' in params: path_params['account_id'] = params['account_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/account/{account_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_allocation_performance_using_get(self, allocation_id, **kwargs): # noqa: E501 """Allocation Performance # noqa: E501 Get information on the performance of an allocation using TWR (Time Weighted Return). You must provide the unique allocation_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_allocation_performance_using_get(allocation_id, async_req=True) >>> result = thread.get() :param async_req bool :param str allocation_id: Allocation Id -/allocation (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Tenant Benchmark Id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param bool is_current_weight: is_current_weight :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type found under the Statistics banner :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: dict(str, object) If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_allocation_performance_using_get_with_http_info(allocation_id, **kwargs) # noqa: E501 else: (data) = self.get_allocation_performance_using_get_with_http_info(allocation_id, **kwargs) # noqa: E501 return data def get_allocation_performance_using_get_with_http_info(self, allocation_id, **kwargs): # noqa: E501 """Allocation Performance # noqa: E501 Get information on the performance of an allocation using TWR (Time Weighted Return). You must provide the unique allocation_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_allocation_performance_using_get_with_http_info(allocation_id, async_req=True) >>> result = thread.get() :param async_req bool :param str allocation_id: Allocation Id -/allocation (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Tenant Benchmark Id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param bool is_current_weight: is_current_weight :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type found under the Statistics banner :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: dict(str, object) If the method is called asynchronously, returns the request thread. """ all_params = ['allocation_id', 'active_premium_period', 'annualized_return_period', 'benchmark_id', 'end_date', 'hist_factor', 'is_current_weight', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_allocation_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'allocation_id' is set if ('allocation_id' not in params or params['allocation_id'] is None): raise ValueError("Missing the required parameter `allocation_id` when calling `get_allocation_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'allocation_id' in params: path_params['allocation_id'] = params['allocation_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'is_current_weight' in params: query_params.append(('is_current_weight', params['is_current_weight'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/allocation/{allocation_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='dict(str, object)', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_benchmark_performance_using_get(self, benchmark_id, **kwargs): # noqa: E501 """Benchmark Performance # noqa: E501 Get information on the performance of a benchmark using TWR (Time Weighted Return). You must provide the unique benchmark_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_benchmark_performance_using_get(benchmark_id, async_req=True) >>> result = thread.get() :param async_req bool :param str benchmark_id: Benchmark Id - /benchmark (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str comparison_benchmark_id: comparison_benchmark_id :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: Stat type - /statistics endpoint :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_benchmark_performance_using_get_with_http_info(benchmark_id, **kwargs) # noqa: E501 else: (data) = self.get_benchmark_performance_using_get_with_http_info(benchmark_id, **kwargs) # noqa: E501 return data def get_benchmark_performance_using_get_with_http_info(self, benchmark_id, **kwargs): # noqa: E501 """Benchmark Performance # noqa: E501 Get information on the performance of a benchmark using TWR (Time Weighted Return). You must provide the unique benchmark_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_benchmark_performance_using_get_with_http_info(benchmark_id, async_req=True) >>> result = thread.get() :param async_req bool :param str benchmark_id: Benchmark Id - /benchmark (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str comparison_benchmark_id: comparison_benchmark_id :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: Stat type - /statistics endpoint :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['benchmark_id', 'active_premium_period', 'annualized_return_period', 'comparison_benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_benchmark_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'benchmark_id' is set if ('benchmark_id' not in params or params['benchmark_id'] is None): raise ValueError("Missing the required parameter `benchmark_id` when calling `get_benchmark_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'benchmark_id' in params: path_params['benchmark_id'] = params['benchmark_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'comparison_benchmark_id' in params: query_params.append(('comparison_benchmark_id', params['comparison_benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/benchmark/{benchmark_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_client_performance_using_get(self, client_id, **kwargs): # noqa: E501 """Client Performance # noqa: E501 Get information on the performance of a client using IRR (Internal Rate of Return). You must provide the unique client_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_client_performance_using_get(client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str client_id: Client Id -/client (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Client Benchmark or Tenant Benchmark id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type -- /statistics :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_client_performance_using_get_with_http_info(client_id, **kwargs) # noqa: E501 else: (data) = self.get_client_performance_using_get_with_http_info(client_id, **kwargs) # noqa: E501 return data def get_client_performance_using_get_with_http_info(self, client_id, **kwargs): # noqa: E501 """Client Performance # noqa: E501 Get information on the performance of a client using IRR (Internal Rate of Return). You must provide the unique client_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_client_performance_using_get_with_http_info(client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str client_id: Client Id -/client (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Client Benchmark or Tenant Benchmark id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type -- /statistics :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['client_id', 'active_premium_period', 'annualized_return_period', 'benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_client_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `get_client_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/client/{client_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_goal_performance_using_get(self, client_id, goal_id, **kwargs): # noqa: E501 """Goal Performance # noqa: E501 Get information on the performance of a goal using IRR (Internal Rate of Return). You must provide the unique goal_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_goal_performance_using_get(client_id, goal_id, async_req=True) >>> result = thread.get() :param async_req bool :param str client_id: Client associated with the account - /client (required) :param str goal_id: Goal Id - /account (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Client Benchmark or Tenant Benchmark id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param bool portfolio_goal: portfolio_goal :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type - /statistics :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_goal_performance_using_get_with_http_info(client_id, goal_id, **kwargs) # noqa: E501 else: (data) = self.get_goal_performance_using_get_with_http_info(client_id, goal_id, **kwargs) # noqa: E501 return data def get_goal_performance_using_get_with_http_info(self, client_id, goal_id, **kwargs): # noqa: E501 """Goal Performance # noqa: E501 Get information on the performance of a goal using IRR (Internal Rate of Return). You must provide the unique goal_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_goal_performance_using_get_with_http_info(client_id, goal_id, async_req=True) >>> result = thread.get() :param async_req bool :param str client_id: Client associated with the account - /client (required) :param str goal_id: Goal Id - /account (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Client Benchmark or Tenant Benchmark id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param bool portfolio_goal: portfolio_goal :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type - /statistics :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['client_id', 'goal_id', 'active_premium_period', 'annualized_return_period', 'benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'portfolio_goal', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_goal_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `get_goal_performance_using_get`") # noqa: E501 # verify the required parameter 'goal_id' is set if ('goal_id' not in params or params['goal_id'] is None): raise ValueError("Missing the required parameter `goal_id` when calling `get_goal_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 if 'goal_id' in params: path_params['goal_id'] = params['goal_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'portfolio_goal' in params: query_params.append(('portfolio_goal', params['portfolio_goal'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/goal/{goal_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_model_performance_using_get(self, model_id, **kwargs): # noqa: E501 """Model Performance # noqa: E501 Get information on the performance of a model using TWR (Time Weighted Return). You must provide the unique model_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_model_performance_using_get(model_id, async_req=True) >>> result = thread.get() :param async_req bool :param str model_id: Model Id - /model (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Tenant Benchmark Id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: Stat Type :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_model_performance_using_get_with_http_info(model_id, **kwargs) # noqa: E501 else: (data) = self.get_model_performance_using_get_with_http_info(model_id, **kwargs) # noqa: E501 return data def get_model_performance_using_get_with_http_info(self, model_id, **kwargs): # noqa: E501 """Model Performance # noqa: E501 Get information on the performance of a model using TWR (Time Weighted Return). You must provide the unique model_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_model_performance_using_get_with_http_info(model_id, async_req=True) >>> result = thread.get() :param async_req bool :param str model_id: Model Id - /model (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Tenant Benchmark Id -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: Stat Type :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['model_id', 'active_premium_period', 'annualized_return_period', 'benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_model_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'model_id' is set if ('model_id' not in params or params['model_id'] is None): raise ValueError("Missing the required parameter `model_id` when calling `get_model_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'model_id' in params: path_params['model_id'] = params['model_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/model/{model_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_portfolio_performance_using_get(self, account_id, client_id, portfolio_id, portfolioid, **kwargs): # noqa: E501 """Portfolio Performance # noqa: E501 Get information on the performance of a portfolio using IRR (Internal Rate of Return). You must provide the unique portfolio_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_performance_using_get(account_id, client_id, portfolio_id, portfolioid, async_req=True) >>> result = thread.get() :param async_req bool :param str account_id: Account Id -/account (required) :param str client_id: Client Id -/client (required) :param str portfolio_id: portfolio_id (required) :param str portfolioid: Portfolio Id -/portoflio (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Benchmark Id - benchmarkId or clientBenchmarkId -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type - /statistics endpoint to get types :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_portfolio_performance_using_get_with_http_info(account_id, client_id, portfolio_id, portfolioid, **kwargs) # noqa: E501 else: (data) = self.get_portfolio_performance_using_get_with_http_info(account_id, client_id, portfolio_id, portfolioid, **kwargs) # noqa: E501 return data def get_portfolio_performance_using_get_with_http_info(self, account_id, client_id, portfolio_id, portfolioid, **kwargs): # noqa: E501 """Portfolio Performance # noqa: E501 Get information on the performance of a portfolio using IRR (Internal Rate of Return). You must provide the unique portfolio_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_performance_using_get_with_http_info(account_id, client_id, portfolio_id, portfolioid, async_req=True) >>> result = thread.get() :param async_req bool :param str account_id: Account Id -/account (required) :param str client_id: Client Id -/client (required) :param str portfolio_id: portfolio_id (required) :param str portfolioid: Portfolio Id -/portoflio (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str benchmark_id: Benchmark Id - benchmarkId or clientBenchmarkId -/benchmark :param date end_date: end date :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: start date :param str stat: A stat type - /statistics endpoint to get types :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['account_id', 'client_id', 'portfolio_id', 'portfolioid', 'active_premium_period', 'annualized_return_period', 'benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_portfolio_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'account_id' is set if ('account_id' not in params or params['account_id'] is None): raise ValueError("Missing the required parameter `account_id` when calling `get_portfolio_performance_using_get`") # noqa: E501 # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `get_portfolio_performance_using_get`") # noqa: E501 # verify the required parameter 'portfolio_id' is set if ('portfolio_id' not in params or params['portfolio_id'] is None): raise ValueError("Missing the required parameter `portfolio_id` when calling `get_portfolio_performance_using_get`") # noqa: E501 # verify the required parameter 'portfolioid' is set if ('portfolioid' not in params or params['portfolioid'] is None): raise ValueError("Missing the required parameter `portfolioid` when calling `get_portfolio_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'account_id' in params: path_params['account_id'] = params['account_id'] # noqa: E501 if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 if 'portfolio_id' in params: path_params['portfolio_id'] = params['portfolio_id'] # noqa: E501 if 'portfolioid' in params: path_params['portfolioid'] = params['portfolioid'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/portfolio/{portfolio_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_security_performance_using_get(self, security_id, **kwargs): # noqa: E501 """Security Performance # noqa: E501 Get performance statistics for a security using TWR (Time Weighted Return). You must provide the unique security_id # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_security_performance_using_get(security_id, async_req=True) >>> result = thread.get() :param async_req bool :param str security_id: security_id (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str bench_ticker: Bench Ticker for security - (default: ^GSPC) :param str benchmark_id: benchmark_id :param date end_date: Ending parameter for time window :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: Starting parameter for time window :param str stat: A stat type - /statistics endpoint :param str ticker: Ticker for security :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_security_performance_using_get_with_http_info(security_id, **kwargs) # noqa: E501 else: (data) = self.get_security_performance_using_get_with_http_info(security_id, **kwargs) # noqa: E501 return data def get_security_performance_using_get_with_http_info(self, security_id, **kwargs): # noqa: E501 """Security Performance # noqa: E501 Get performance statistics for a security using TWR (Time Weighted Return). You must provide the unique security_id # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_security_performance_using_get_with_http_info(security_id, async_req=True) >>> result = thread.get() :param async_req bool :param str security_id: security_id (required) :param str active_premium_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str annualized_return_period: Q (quarterly), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () - (statId: 19, default: 'D') :param str bench_ticker: Bench Ticker for security - (default: ^GSPC) :param str benchmark_id: benchmark_id :param date end_date: Ending parameter for time window :param float hist_factor: Histogram factor- (statId: 39, default: 5) :param float mar_down_side_deviation: minimum acceptable return for downside deviation - (statId: 58, default: 0) :param float max_percentile_monte_carlo: max percentile for monte carlo, i.entity. 80 - (statId: 62, default: 95) :param float mean_percentile_monte_carlo: mean percentile for monte carlo i.entity. 50- (statId: 62, default: 50) :param float min_percentile_monte_carlo: min percentile for monte carlo i.entity. 20 - (statId: 62, default: 5) :param int moving_average_n_day: number of days for moving average n-day - (statId: 18, default: 7) :param int n_day_returns: number of days for Rolling n-day returns - (statId: 2, default: 7) :param int n_path_monte_carlo: number of points for a simulation- (statId: 62, default: 100) :param int n_rolling_max_drawdown: number of days for Rolling n-day max drawdown- (statId: 46, default: 7) :param int n_rolling_volatility: number of days for Rolling n-day volatility- (statId: 34, default: 7) :param int num_sim_monte_carlo: number of simulations - (statId: 62, default: 1000) :param str period_type: Quarter (Q), Monthly (M) , Annually (Y), Daily (D) --caps matter, codes in () -Carries out stats on either daily, monthly, annually or quarterly dates (default: 'D') :param float risk_free_alpha: risk free val alpha - (statId: 52, default: 0) :param float risk_free_sharpe: risk free val sharpe- (statId: 49, default: 0) :param float risk_free_sortino: risk free val sortino - (statId: 56, default: 0) :param float risk_free_treynor: risk free val treynor- (statId: 51, default: 0) :param date start_date: Starting parameter for time window :param str stat: A stat type - /statistics endpoint :param str ticker: Ticker for security :param float var_conf_interval: VaR Confidence Interval ( alpha ) i.entity 99, 95, etc - (statId: 40, default: 95) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['security_id', 'active_premium_period', 'annualized_return_period', 'bench_ticker', 'benchmark_id', 'end_date', 'hist_factor', 'mar_down_side_deviation', 'max_percentile_monte_carlo', 'mean_percentile_monte_carlo', 'min_percentile_monte_carlo', 'moving_average_n_day', 'n_day_returns', 'n_path_monte_carlo', 'n_rolling_max_drawdown', 'n_rolling_volatility', 'num_sim_monte_carlo', 'period_type', 'risk_free_alpha', 'risk_free_sharpe', 'risk_free_sortino', 'risk_free_treynor', 'start_date', 'stat', 'ticker', 'var_conf_interval'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_security_performance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'security_id' is set if ('security_id' not in params or params['security_id'] is None): raise ValueError("Missing the required parameter `security_id` when calling `get_security_performance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'security_id' in params: path_params['security_id'] = params['security_id'] # noqa: E501 query_params = [] if 'active_premium_period' in params: query_params.append(('active_premium_period', params['active_premium_period'])) # noqa: E501 if 'annualized_return_period' in params: query_params.append(('annualized_return_period', params['annualized_return_period'])) # noqa: E501 if 'bench_ticker' in params: query_params.append(('benchTicker', params['bench_ticker'])) # noqa: E501 if 'benchmark_id' in params: query_params.append(('benchmark_id', params['benchmark_id'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'hist_factor' in params: query_params.append(('hist_factor', params['hist_factor'])) # noqa: E501 if 'mar_down_side_deviation' in params: query_params.append(('mar_down_side_deviation', params['mar_down_side_deviation'])) # noqa: E501 if 'max_percentile_monte_carlo' in params: query_params.append(('max_percentile_monte_carlo', params['max_percentile_monte_carlo'])) # noqa: E501 if 'mean_percentile_monte_carlo' in params: query_params.append(('mean_percentile_monte_carlo', params['mean_percentile_monte_carlo'])) # noqa: E501 if 'min_percentile_monte_carlo' in params: query_params.append(('min_percentile_monte_carlo', params['min_percentile_monte_carlo'])) # noqa: E501 if 'moving_average_n_day' in params: query_params.append(('moving_average_n_day', params['moving_average_n_day'])) # noqa: E501 if 'n_day_returns' in params: query_params.append(('n_day_returns', params['n_day_returns'])) # noqa: E501 if 'n_path_monte_carlo' in params: query_params.append(('n_path_monte_carlo', params['n_path_monte_carlo'])) # noqa: E501 if 'n_rolling_max_drawdown' in params: query_params.append(('n_rolling_max_drawdown', params['n_rolling_max_drawdown'])) # noqa: E501 if 'n_rolling_volatility' in params: query_params.append(('n_rolling_volatility', params['n_rolling_volatility'])) # noqa: E501 if 'num_sim_monte_carlo' in params: query_params.append(('num_sim_monte_carlo', params['num_sim_monte_carlo'])) # noqa: E501 if 'period_type' in params: query_params.append(('period_type', params['period_type'])) # noqa: E501 if 'risk_free_alpha' in params: query_params.append(('risk_free_alpha', params['risk_free_alpha'])) # noqa: E501 if 'risk_free_sharpe' in params: query_params.append(('risk_free_sharpe', params['risk_free_sharpe'])) # noqa: E501 if 'risk_free_sortino' in params: query_params.append(('risk_free_sortino', params['risk_free_sortino'])) # noqa: E501 if 'risk_free_treynor' in params: query_params.append(('risk_free_treynor', params['risk_free_treynor'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'stat' in params: query_params.append(('stat', params['stat'])) # noqa: E501 if 'ticker' in params: query_params.append(('ticker', params['ticker'])) # noqa: E501 if 'var_conf_interval' in params: query_params.append(('var_conf_interval', params['var_conf_interval'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/security/{security_id}/performance', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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