xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

57f95ca5bbe9ef79c0bb275f4252ce6aff606279

95

py

Python

fba/data/datasets/__init__.py

hukkelas/full_body_anonymization

c61745b137c84ffb742ef6ab2f4721db4acf22b7

[ "MIT" ]

27

2022-01-06T20:15:24.000Z

2022-03-29T11:54:49.000Z

fba/data/datasets/__init__.py

hukkelas/full_body_anonymization

c61745b137c84ffb742ef6ab2f4721db4acf22b7

[ "MIT" ]

2

2022-03-17T06:04:23.000Z

2022-03-25T08:50:57.000Z

fba/data/datasets/__init__.py

hukkelas/full_body_anonymization

c61745b137c84ffb742ef6ab2f4721db4acf22b7

[ "MIT" ]

2

2022-01-07T13:16:59.000Z

2022-01-16T02:10:50.000Z

from .build import build_dataset from .cse import CocoCSE from .deep_fashion import DeepFashion

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17aa219cc98ced57a25e6590b42a1d62ff792a41

168

py

Python

tests/web_platform/CSS2/normal_flow/test_block_formatting_contexts.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

71

2015-04-13T09:44:14.000Z

2019-03-24T01:03:02.000Z

tests/web_platform/CSS2/normal_flow/test_block_formatting_contexts.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

35

2019-05-06T15:26:09.000Z

2022-03-28T06:30:33.000Z

tests/web_platform/CSS2/normal_flow/test_block_formatting_contexts.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

139

2015-05-30T18:37:43.000Z

2019-03-27T17:14:05.000Z

from tests.utils import W3CTestCase class TestBlockFormattingContexts(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'block-formatting-contexts-'))

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py

Python

ice/error/__init__.py

reavessm/Ice

e78d046abfd6006b1a81d1cbdb516b7c3e141ac9

[ "MIT" ]

578

2015-01-02T12:43:52.000Z

2022-03-27T23:45:32.000Z

ice/error/__init__.py

reavessm/Ice

e78d046abfd6006b1a81d1cbdb516b7c3e141ac9

[ "MIT" ]

271

2015-01-05T01:56:38.000Z

2021-08-14T02:51:24.000Z

ice/error/__init__.py

reavessm/Ice

e78d046abfd6006b1a81d1cbdb516b7c3e141ac9

[ "MIT" ]

156

2015-01-07T15:43:20.000Z

2021-12-11T19:10:44.000Z

from human_readable_error import HumanReadableError

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17ffa6dbaef85227b6c098b9b1fe55bf58611b40

77

py

Python

2020-04-16 - Python Medellin - Creating a chat service with WebSockets/Examples/Chat/app/blueprints/__init__.py

williamegomezo/Talks

0b123c6c8dec9c1a2357c142b617109068caf060

[ "MIT" ]

2

2020-04-24T23:03:41.000Z

2020-11-10T15:08:38.000Z

2020-04-16 - Python Medellin - Creating a chat service with WebSockets/Examples/Chat/app/blueprints/__init__.py

williamegomezo/Talks

0b123c6c8dec9c1a2357c142b617109068caf060

[ "MIT" ]

5

2021-03-10T11:42:15.000Z

2022-02-10T21:38:54.000Z

2020-04-16 - Python Medellin - Creating a chat service with WebSockets/Examples/Chat/app/blueprints/__init__.py

williamegomezo/Talks

0b123c6c8dec9c1a2357c142b617109068caf060

[ "MIT" ]

4

2020-10-01T04:32:27.000Z

2022-02-14T15:08:16.000Z

from .auth import auth_blueprint from .websockets import websockets_blueprint

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aa1baf1f2219412da1096ceed51d9dc0ea5ebce7

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py

Python

src/Zope2/utilities/zpasswd.py

hitotsunorb1/Zope

6beac6385e1a302903889561385013874ef94cb1

[ "ZPL-2.1" ]

null

src/Zope2/utilities/zpasswd.py

hitotsunorb1/Zope

6beac6385e1a302903889561385013874ef94cb1

[ "ZPL-2.1" ]

null

src/Zope2/utilities/zpasswd.py

hitotsunorb1/Zope

6beac6385e1a302903889561385013874ef94cb1

[ "ZPL-2.1" ]

null

############################################################################## # # Copyright (c) 2001,2002 Zope Foundation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED # WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS # FOR A PARTICULAR PURPOSE # ############################################################################## from zope.deferredimport import deprecated # BBB Zope 5.0 deprecated( 'Please import from ZServer.Zope2.utilities.zpasswd', generate_salt='ZServer.Zope2.utilities.zpasswd:generate_salt', generate_passwd='ZServer.Zope2.utilities.zpasswd:generate_passwd', write_generated_password=('ZServer.Zope2.utilities.zpasswd:' 'write_generated_password'), write_access='ZServer.Zope2.utilities.zpasswd:write_access', get_password='ZServer.Zope2.utilities.zpasswd:get_password', write_inituser='ZServer.Zope2.utilities.zpasswd:write_inituser', usage='ZServer.Zope2.utilities.zpasswd:usage', main='ZServer.Zope2.utilities.zpasswd:main', )

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aa332a45bfb905d979237fb5523fc7d93eb62577

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py

Python

meteoblue_dataset_sdk/caching/__init__.py

tibz7/python-dataset-sdk

304649d1884f4e41702d029edd02717be81c9bad

[ "MIT" ]

4

2020-11-26T18:01:49.000Z

2021-09-16T16:25:35.000Z

meteoblue_dataset_sdk/caching/__init__.py

darfnic/python-dataset-sdk

74db4db321a2667828f78cffd899ba83deca43d1

[ "MIT" ]

3

2021-02-08T13:45:06.000Z

2021-11-22T13:48:59.000Z

meteoblue_dataset_sdk/caching/__init__.py

darfnic/python-dataset-sdk

74db4db321a2667828f78cffd899ba83deca43d1

[ "MIT" ]

5

2020-11-30T11:40:50.000Z

2021-11-22T13:39:00.000Z

from .abstractcache import AbstractCache # noqa from .filecache import FileCache # noqa

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a4adda4e4ddbba6704fcb0c1f7c5f0e7a522265a

1,725

py

Python

accounts/forms.py

Josue-cloudU/Biblioteca

cfb41f286488e540390ffe2973caf448da5d289b

[ "MIT" ]

null

accounts/forms.py

Josue-cloudU/Biblioteca

cfb41f286488e540390ffe2973caf448da5d289b

[ "MIT" ]

null

accounts/forms.py

Josue-cloudU/Biblioteca

cfb41f286488e540390ffe2973caf448da5d289b

[ "MIT" ]

null

from django import forms from django.forms import ModelForm from django.contrib.auth.forms import UserCreationForm from django.contrib.auth.models import User class CustomUserForm(UserCreationForm): class Meta: model = User fields = ('username', 'first_name', 'last_name', 'email', 'password1', 'password2',) def clean_email(self): email = self.cleaned_data["email"] if User.objects.filter(email=email).exists(): raise forms.ValidationError('Correo ya esta registrado') return email class CustomUserStaffForm(UserCreationForm): class Meta: model = User fields = ('username', 'first_name', 'last_name', 'email', 'password1', 'password2', 'is_staff') def clean_email(self): email = self.cleaned_data["email"] if User.objects.filter(email=email).exists(): raise forms.ValidationError('Correo ya esta registrado') return email class UpdateUserForm(UserCreationForm): class Meta: model = User fields = ('username', 'first_name', 'last_name', 'email', 'is_active', 'is_staff') widgets = { 'password1': forms.TextInput( attrs = { 'class': 'form-control', 'readonly': True } ), 'password2': forms.TextInput( attrs = { 'class': 'form-control', 'readonly': True } ) } def clean_email(self): email = self.cleaned_data["email"] if User.objects.filter(email=email).exists(): raise forms.ValidationError('Correo ya esta registrado') return email

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a4d6639d82bf1e797bcadcfe86f9d95b02c1234d

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py

Python

tests/bak/stock_S153_3rd/ui_display_klines.py

garywangiam02/vnpy

fbb168bf977d95ae874e92a3655c6c893db16a1f

[ "MIT" ]

null

tests/bak/stock_S153_3rd/ui_display_klines.py

garywangiam02/vnpy

fbb168bf977d95ae874e92a3655c6c893db16a1f

[ "MIT" ]

null

tests/bak/stock_S153_3rd/ui_display_klines.py

garywangiam02/vnpy

fbb168bf977d95ae874e92a3655c6c893db16a1f

[ "MIT" ]

null

# flake8: noqa """ 多周期显示K线，时间点同步华富资产/李来佳 """ from vnpy.trader.ui.kline.kline import * from vnpy.trader.ui.kline.crosshair import Crosshair import sys import os import ctypes import platform system = platform.system() os.environ["VNPY_TESTING"] = "1" # 将repostory的目录，作为根目录，添加到系统环境中。 ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')) sys.path.append(ROOT_PATH) if __name__ == '__main__': # K线界面 try: kline_settings = { "D1": { "data_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_D1.csv", "main_indicators": [ "ma55", "ma89" ], # ,"upper","lower" "sub_indicators": [ "dif", 'dea' ], # "dif",'dea',, 'macd' "trade_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_trade.csv", # "dist_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_s144_000651.SZSE_dist.csv", "bi_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_D1_bi.csv", "duan_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_D1_duan.csv", "bi_zs_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_D1_zs.csv", # "dist_include_list": ["short_break","top_div","top_div2", # "long_break", "rev","break_fail","break_fail2","break_fail3" # ] }, "M30": { "data_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_M30.csv", "main_indicators": [ "ma55", "ma89" ], # ,"upper","lower" "sub_indicators": [ "dif", 'dea' ], # "dif",'dea',, 'macd' "trade_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_trade.csv", # "dist_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_s144_000651.SZSE_dist.csv", "bi_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_M30_bi.csv", "duan_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_M30_duan.csv", "bi_zs_file": "log/stock_3rd_buy_1024_1921_300750.SZSE/stock_S153_300750.SZSE_300750.SZSE_M30_zs.csv", # "dist_include_list": ["short_break","top_div","top_div2", # "long_break", "rev","break_fail","break_fail2","break_fail3" # ] } } display_multi_grid(kline_settings) except Exception as ex: print(u'exception:{},trace:{}'.format(str(ex), traceback.format_exc()))

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3504b555f358df64616f85ef9495c3b751001964

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py

Python

tests/arbpack/arbloader.py

Reskov/pypyr

67bc1795493c19e648e12f776a644f92e3bd2fc8

[ "Apache-2.0" ]

261

2020-08-18T19:31:29.000Z

2022-03-31T14:54:06.000Z

tests/arbpack/arbloader.py

Reskov/pypyr

67bc1795493c19e648e12f776a644f92e3bd2fc8

[ "Apache-2.0" ]

73

2020-08-14T20:21:14.000Z

2022-03-14T14:00:16.000Z

tests/arbpack/arbloader.py

Reskov/pypyr

67bc1795493c19e648e12f776a644f92e3bd2fc8

[ "Apache-2.0" ]

15

2020-09-30T12:15:50.000Z

2022-03-30T07:25:40.000Z

"""Test custom loader which returns directly the same thing that was passed.""" def get_pipeline_definition(pipeline_name, working_dir): """Return inputs as a mock pipeline loader stub.""" return {'pipeline_name': pipeline_name, 'working_dir': working_dir}

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py

Python

repos/.cache/init.vim/.dein/test/rplugin/python3/deoplete/test_util.py

adaschevici/neovm

93f9589bca95b239c63d0e56164232be1b9eadc5

[ "MIT" ]

null

repos/.cache/init.vim/.dein/test/rplugin/python3/deoplete/test_util.py

adaschevici/neovm

93f9589bca95b239c63d0e56164232be1b9eadc5

[ "MIT" ]

null

repos/.cache/init.vim/.dein/test/rplugin/python3/deoplete/test_util.py

adaschevici/neovm

93f9589bca95b239c63d0e56164232be1b9eadc5

[ "MIT" ]

null

import deoplete.util as util def test_pos(): assert util.bytepos2charpos('utf-8', 'foo bar', 3) == 3 assert util.bytepos2charpos('utf-8', 'あああ', 3) == 1 assert util.charpos2bytepos('utf-8', 'foo bar', 3) == 3 assert util.charpos2bytepos('utf-8', 'あああ', 3) == 9 def test_custom(): custom = {'source':{}} custom['source'] = {'_': {'mark': ''}, 'java': {'converters': []}} assert util.get_custom(custom, 'java', 'mark', 'foobar') == '' assert util.get_custom(custom, 'java', 'converters', 'foobar') == [] assert util.get_custom(custom, 'foo', 'mark', 'foobar') == '' assert util.get_custom(custom, 'foo', 'converters', 'foobar') == 'foobar' def test_globruntime(): assert util.globruntime('/usr', 'bin') == ['/usr/bin'] def test_binary_search(): assert util.binary_search_begin([], '') == -1 assert util.binary_search_begin([{'word': 'abc'}], 'abc') == 0 assert util.binary_search_begin([ {'word': 'aaa'}, {'word': 'abc'}, ], 'abc') == 1 assert util.binary_search_begin([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'abc'}, ], 'abc') == 2 assert util.binary_search_begin([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'AbC'}, ], 'abc') == 2 assert util.binary_search_begin([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'abc'}, ], 'b') == -1 assert util.binary_search_begin([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'aac'}, {'word': 'abc'}, ], 'aa') == 1 assert util.binary_search_end([], '') == -1 assert util.binary_search_end([{'word': 'abc'}], 'abc') == 0 assert util.binary_search_end([ {'word': 'aaa'}, {'word': 'abc'}, ], 'abc') == 1 assert util.binary_search_end([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'abc'}, ], 'abc') == 2 assert util.binary_search_end([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'abc'}, ], 'b') == -1 assert util.binary_search_end([ {'word': 'a'}, {'word': 'aaa'}, {'word': 'aac'}, {'word': 'abc'}, ], 'aa') == 2

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py

Python

tests/layer_tests/onnx_tests/test_reshape.py

pfinashx/openvino

1d417e888b508415510fb0a92e4a9264cf8bdef7

[ "Apache-2.0" ]

1

2022-02-26T17:33:44.000Z

tests/layer_tests/onnx_tests/test_reshape.py

pfinashx/openvino

1d417e888b508415510fb0a92e4a9264cf8bdef7

[ "Apache-2.0" ]

18

2022-01-21T08:42:58.000Z

2022-03-28T13:21:31.000Z

tests/layer_tests/onnx_tests/test_reshape.py

pfinashx/openvino

1d417e888b508415510fb0a92e4a9264cf8bdef7

[ "Apache-2.0" ]

null

# Copyright (C) 2018-2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import pytest from common.layer_test_class import check_ir_version from common.onnx_layer_test_class import Caffe2OnnxLayerTest from unit_tests.utils.graph import build_graph class TestReshape(Caffe2OnnxLayerTest): def create_reshape_net(self, input_shape, output_shape, ir_version): """ ONNX net IR net Input->Reshape->Output => Input->Reshape """ # # Create ONNX model # import onnx from onnx import helper from onnx import TensorProto input = helper.make_tensor_value_info('input', TensorProto.FLOAT, input_shape) output = helper.make_tensor_value_info('output', TensorProto.FLOAT, output_shape) node_shape_def = onnx.helper.make_node( 'Constant', inputs=[], outputs=['shape'], value=helper.make_tensor( name='const_tensor', data_type=TensorProto.INT64, dims=[len(output_shape)], vals=output_shape, ), ) node_reshape_def = onnx.helper.make_node( 'Reshape', inputs=['input', 'shape'], outputs=['output'] ) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_shape_def, node_reshape_def], 'test_reshape_model', [input], [output], ) # Create the model (ModelProto) onnx_net = helper.make_model(graph_def, producer_name='test_reshape_model') # # Create reference IR net # Please, specify 'type': 'Input' for input node # Moreover, do not forget to validate ALL layer attributes!!! # ref_net = None if check_ir_version(10, None, ir_version): nodes_attributes = { 'input': {'kind': 'op', 'type': 'Parameter'}, 'input_data': {'shape': input_shape, 'kind': 'data'}, 'input_data_1': {'shape': [len(output_shape)], 'value': output_shape, 'kind': 'data'}, 'const_1': {'kind': 'op', 'type': 'Const'}, 'const_data_1': {'shape': [len(output_shape)], 'value': None, 'kind': 'data'}, # 'value': output_shape, 'reshape': {'kind': 'op', 'type': 'Reshape'}, 'reshape_data': {'shape': output_shape, 'kind': 'data'}, 'result': {'kind': 'op', 'type': 'Result'} } ref_net = build_graph(nodes_attributes, [('input', 'input_data'), ('input_data_1', 'const_1'), ('const_1', 'const_data_1'), ('const_data_1', 'reshape'), ('input_data', 'reshape'), ('reshape', 'reshape_data'), ('reshape_data', 'result') ]) return onnx_net, ref_net def create_reshape_net_const(self, input_shape, output_shape, ir_version): """ ONNX net IR net Input->Concat(+reshaped const)->Output => Input->Concat(+const) """ # # Create ONNX model # import onnx from onnx import helper from onnx import TensorProto import numpy as np concat_axis = 0 concat_output_shape = output_shape.copy() concat_output_shape[concat_axis] *= 2 input = helper.make_tensor_value_info('input', TensorProto.FLOAT, output_shape) output = helper.make_tensor_value_info('output', TensorProto.FLOAT, concat_output_shape) const_number = np.prod(input_shape) constant = np.random.randint(-127, 127, const_number).astype(np.float) node_const_def = onnx.helper.make_node( 'Constant', inputs=[], outputs=['const1'], value=helper.make_tensor( name='const_tensor', data_type=TensorProto.FLOAT, dims=input_shape, vals=constant, ), ) node_shape_def = onnx.helper.make_node( 'Constant', inputs=[], outputs=['shape'], value=helper.make_tensor( name='const_tensor', data_type=TensorProto.INT64, dims=[len(output_shape)], vals=output_shape, ), ) node_reshape_def = onnx.helper.make_node( 'Reshape', inputs=['const1', 'shape'], outputs=['reshape1'] ) node_concat_def = onnx.helper.make_node( 'Concat', inputs=['input', 'reshape1'], outputs=['output'], axis=concat_axis ) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_const_def, node_shape_def, node_reshape_def, node_concat_def], 'test_reshape_model', [input], [output], ) # Create the model (ModelProto) onnx_net = helper.make_model(graph_def, producer_name='test_reshape_model') # # Create reference IR net # Please, specify 'type': 'Input' for input node # Moreover, do not forget to validate ALL layer attributes!!! # ref_net = None if check_ir_version(10, None, ir_version): nodes_attributes = { 'input': {'kind': 'op', 'type': 'Parameter'}, 'input_data': {'shape': output_shape, 'kind': 'data'}, 'input_const_data': {'kind': 'data', 'value': constant}, 'const': {'kind': 'op', 'type': 'Const'}, 'const_data': {'shape': output_shape, 'value': None, 'kind': 'data'}, 'concat': {'kind': 'op', 'type': 'Concat', 'axis': concat_axis}, 'concat_data': {'shape': concat_output_shape, 'kind': 'data'}, 'result': {'kind': 'op', 'type': 'Result'} } ref_net = build_graph(nodes_attributes, [('input', 'input_data'), ('input_const_data', 'const'), ('const', 'const_data'), ('input_data', 'concat'), ('const_data', 'concat'), ('concat', 'concat_data'), ('concat_data', 'result'), ]) return onnx_net, ref_net test_data_5D = [dict(input_shape=[4, 6, 8, 10, 12], output_shape=[4, 6, 8, 120]), dict(input_shape=[4, 6, 8, 10, 12], output_shape=[4, 6, 80, 12]), dict(input_shape=[4, 6, 8, 10, 12], output_shape=[4, 48, 10, 12]), dict(input_shape=[4, 6, 8, 10, 12], output_shape=[24, 8, 10, 12]), dict(input_shape=[4, 6, 8, 10], output_shape=[2, 2, 6, 8, 10]), dict(input_shape=[4, 6, 8, 10], output_shape=[4, 2, 3, 8, 10]), dict(input_shape=[4, 6, 8, 10], output_shape=[4, 6, 2, 4, 10]), dict(input_shape=[4, 6, 8, 10], output_shape=[4, 6, 8, 2, 5])] test_data_5D_precommit = [dict(input_shape=[2, 4, 6, 8, 10], output_shape=[8, 6, 8, 10])] test_data_4D = [dict(input_shape=[4, 6, 8, 10], output_shape=[24, 8, 10]), dict(input_shape=[4, 6, 8, 10], output_shape=[4, 48, 10]), dict(input_shape=[4, 6, 8, 10], output_shape=[4, 6, 80]), dict(input_shape=[4, 6, 8, 10], output_shape=[192, 10]), dict(input_shape=[4, 6, 8, 10], output_shape=[4, 480]), dict(input_shape=[4, 6, 8], output_shape=[2, 2, 6, 8]), dict(input_shape=[4, 6, 8], output_shape=[4, 2, 3, 8]), dict(input_shape=[4, 6, 8], output_shape=[4, 6, 2, 4]), dict(input_shape=[4, 6], output_shape=[2, 2, 2, 3])] test_data_4D_precommit = [dict(input_shape=[2, 4, 6, 8], output_shape=[48, 8])] test_data_3D = [dict(input_shape=[4, 6, 8], output_shape=[24, 8]), dict(input_shape=[4, 6, 8], output_shape=[4, 48]), dict(input_shape=[4, 6], output_shape=[2, 2, 6]), dict(input_shape=[4, 6], output_shape=[4, 2, 3]), dict(input_shape=[4, 6], output_shape=[2, 4, 3])] test_data_3D_precommit = [dict(input_shape=[2, 4, 6], output_shape=[8, 6])] @pytest.mark.parametrize("params", test_data_5D_precommit) @pytest.mark.precommit def test_reshape_5D_precommit(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_4D_precommit) @pytest.mark.precommit def test_reshape_4D_precommit(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_3D_precommit) @pytest.mark.precommit def test_reshape_3D_precommit(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_5D) @pytest.mark.nightly @pytest.mark.precommit def test_reshape_5D(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_4D) @pytest.mark.nightly def test_reshape_4D(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_3D) @pytest.mark.nightly def test_reshape_3D(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_5D) @pytest.mark.nightly def test_reshape_const_5D(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net_const(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_4D) @pytest.mark.nightly def test_reshape_const_4D(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net_const(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir) @pytest.mark.parametrize("params", test_data_3D) @pytest.mark.nightly def test_reshape_const_3D(self, params, ie_device, precision, ir_version, temp_dir): self._test(*self.create_reshape_net_const(**params, ir_version=ir_version), ie_device, precision, ir_version, temp_dir=temp_dir)

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104fce97f5df98b98d8689c7d7f94245b4a8e69a

219

py

Python

profiles/models.py

andriov/footStore-django-webServer

5741cc78b857e2f73ea12b6f387c22c4f2788d30

[ "MIT" ]

null

profiles/models.py

andriov/footStore-django-webServer

5741cc78b857e2f73ea12b6f387c22c4f2788d30

[ "MIT" ]

10

2020-06-05T17:43:35.000Z

2022-02-11T03:38:45.000Z

profiles/models.py

andriov/footStore-django-webServer

5741cc78b857e2f73ea12b6f387c22c4f2788d30

[ "MIT" ]

null

from django.db import models # Here we implement a custom profiled user, this user extends the # django's AbstractUser, the parent class handles all the authentification # process whereas this class adds some fields.

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22

py

Python

src/retrieve.py

krishnadurai/ColBERT

24f5ed52c24978690727c058917d1325b5eeafb9

[ "MIT" ]

16

2021-05-03T12:16:26.000Z

2022-03-10T08:10:48.000Z

src/retrieve.py

krishnadurai/ColBERT

24f5ed52c24978690727c058917d1325b5eeafb9

[ "MIT" ]

10

2021-07-22T09:31:40.000Z

2022-02-17T16:28:42.000Z

src/retrieve.py

krishnadurai/ColBERT

24f5ed52c24978690727c058917d1325b5eeafb9

[ "MIT" ]

7

2021-03-28T10:50:41.000Z

2022-03-09T15:57:27.000Z

# To be released soon.

22

0.727273

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4

1

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0

1

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null

0

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108626599fde810e4fa024374302fb546fe7c551

112

py

Python

jobs/admin.py

akshitbhatia/Python-Django-Project

d64f02eb8682e14243c38241af660b54a22d0db9

[ "bzip2-1.0.6" ]

null

jobs/admin.py

akshitbhatia/Python-Django-Project

d64f02eb8682e14243c38241af660b54a22d0db9

[ "bzip2-1.0.6" ]

1

2021-09-13T14:24:01.000Z

portfolio-project/jobs/admin.py

victorbrittoferreira/django_blog

4b6e7b0f51e33332b468f939386012bdaf2a0761

[ "BSD-3-Clause" ]

null

from django.contrib import admin # Register your models here. from .models import Job admin.site.register(Job)

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108f9470046cbaa3910767669d84ace10f57d5c5

526

py

Python

qutip/solve/__init__.py

jakelishman/qutip

fbb7fad5bc205910228db622d90601c82db45e4b

[ "BSD-3-Clause" ]

null

qutip/solve/__init__.py

jakelishman/qutip

fbb7fad5bc205910228db622d90601c82db45e4b

[ "BSD-3-Clause" ]

2

2020-07-13T12:11:30.000Z

2020-08-09T22:45:05.000Z

qutip/solve/__init__.py

jakelishman/qutip

fbb7fad5bc205910228db622d90601c82db45e4b

[ "BSD-3-Clause" ]

null

from .bloch_redfield import * from ._brtensor import bloch_redfield_tensor from .correlation import * from .countstat import * from .floquet import * from .mcsolve import * from .mesolve import * from . import nonmarkov from .pdpsolve import * from .piqs import * from .propagator import * from .rcsolve import * from .scattering import * from .sesolve import * from .solver import * from .steadystate import * from .stochastic import * # TODO: most of these don't have a __all__ leaking names, ex: del np del Qobj del debug

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52a463d2bfca7ad4dd85eda5934472314dc74a13

103

py

Python

natch/decorators/gt.py

ertgl/natch

5729725c6eed1596071ac984e3ddfdc21a15af0a

[ "MIT" ]

2

2020-05-24T23:41:00.000Z

2020-05-25T09:18:08.000Z

natch/decorators/gt.py

ertgl/natch

5729725c6eed1596071ac984e3ddfdc21a15af0a

[ "MIT" ]

null

natch/decorators/gt.py

ertgl/natch

5729725c6eed1596071ac984e3ddfdc21a15af0a

[ "MIT" ]

null

from natch.core import Decoration from natch.rules import Gt gt = Decoration.make_rule_decorator(Gt)

17.166667

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5

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52cdfc5f40a98651ce68d3425d46bfb526d7f93c

93

py

Python

src/modeling/prediction_head/__init__.py

Julienbeaulieu/kaggle-computer-vision-competition

7bc6bcb8b85d81ff1544040c403e356c0a3c8060

[ "MIT" ]

14

2020-12-07T22:24:17.000Z

2022-03-30T05:11:55.000Z

src/modeling/prediction_head/__init__.py

Julienbeaulieu/kaggle-computer-vision-competition

7bc6bcb8b85d81ff1544040c403e356c0a3c8060

[ "MIT" ]

null

src/modeling/prediction_head/__init__.py

Julienbeaulieu/kaggle-computer-vision-competition

7bc6bcb8b85d81ff1544040c403e356c0a3c8060

[ "MIT" ]

4

2020-02-22T17:54:23.000Z

2022-01-31T06:41:11.000Z

from .build import HEAD_REGISTRY, build_head from .simple_head import build_simple_pred_head

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52e3a613985a2aa9abebecbbe5bf0fa16ec63dac

207

py

Python

core/views/user/__init__.py

moxuanchen/BMS

1d688f9ebc3efbd812948f930069f2a7109cd873

[ "Apache-2.0" ]

null

core/views/user/__init__.py

moxuanchen/BMS

1d688f9ebc3efbd812948f930069f2a7109cd873

[ "Apache-2.0" ]

null

core/views/user/__init__.py

moxuanchen/BMS

1d688f9ebc3efbd812948f930069f2a7109cd873

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from flask import Blueprint client = Blueprint('client', __name__, template_folder='templates', static_folder='static', url_prefix='/client') import signin import user import book

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5

52e4182a0e55a7972afb001695e148d83711de3d

1,350

py

Python

tests/__init__.py

aroig/nnutil2

1fc77df351d4eee1166688e25a94287a5cfa27c4

[ "BSD-3-Clause" ]

null

tests/__init__.py

aroig/nnutil2

1fc77df351d4eee1166688e25a94287a5cfa27c4

[ "BSD-3-Clause" ]

3

2020-11-13T18:33:29.000Z

2021-08-25T15:55:57.000Z

tests/__init__.py

aroig/nnutil2

1fc77df351d4eee1166688e25a94287a5cfa27c4

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # nnutil2 - Tensorflow utilities for training neural networks # Copyright (c) 2019, Abdó Roig-Maranges <abdo.roig@gmail.com> # # This file is part of 'nnutil2'. # # This file may be modified and distributed under the terms of the 3-clause BSD # license. See the LICENSE file for details. import unittest from .layers_identity import * from .layers_segment import * from .layers_conv import * from .layers_conv_function import * from .layers_pooling import * from .layers_global_pooling import * from .layers_squeeze_excitation import * from .layers_bottleneck import * from .layers_pipelined_segment import * from .data_parse_json import * from .data_merge import * from .nest_flat_tensor import * from .util_shape import * from .util_interpolate_shape import * from .linalg_trace_mc import * from .linalg_dotprod import * from .linalg_orthogonalize import * from .linalg_symmetric_lanczos import * from .linalg_generalized_trace import * from .linalg_symmetrize import * from .linalg_linear_operator_hessian import * from .linalg_linear_operator_approx_hessian import * from .linalg_linear_operator_jacobian import * from .linalg_linear_operator_symmetrize import * from .linalg_linear_operator_antisymmetrize import * from .linalg_tensor_matvec import * from .initializers_approx_identity import *

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52e8f005ed21e6c4b6b249bc370c61c0a1fc1d94

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py

Python

plugins/threatstack/icon_threatstack/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/threatstack/icon_threatstack/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/threatstack/icon_threatstack/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT from .get_agent.action import GetAgent from .get_agents.action import GetAgents from .get_alert.action import GetAlert from .get_alerts.action import GetAlerts from .get_events.action import GetEvents from .get_rule.action import GetRule

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5

52f13ec9cd8c6f42537dfb7f5395395a6df29822

75

py

Python

settings/14IDADAC1_4_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

null

settings/14IDADAC1_4_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

1

2019-10-22T21:28:31.000Z

2019-10-22T21:39:12.000Z

settings/14IDADAC1_4_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

2

2019-06-06T15:06:46.000Z

2020-07-20T02:03:22.000Z

VAL.filename = '//mx340hs/data/anfinrud_1810/Archive//14IDA.DAC1_4.VAL.txt'

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0

null

0

1

0

1

null

0

1

0

5

5e074a252f838708a4a3822883f7c68565c33b65

69

py

Python

Python_Projects/OS-app/server.py

ArturWagnerBusiness/Projects-2018-2020

37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4

[ "MIT" ]

null

Python_Projects/OS-app/server.py

ArturWagnerBusiness/Projects-2018-2020

37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4

[ "MIT" ]

null

Python_Projects/OS-app/server.py

ArturWagnerBusiness/Projects-2018-2020

37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4

[ "MIT" ]

null

import _thread as thread from time import sleep from os import system

23

24

0.84058

12

69

4.75

0.666667

0

0.15942

69

3

25

23

0.982759

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1

0

null

0

1

0

1

0

1

0

5

5e07e75e9ed05504f04da2d4314fd5ba45479275

107

py

Python

ummon/features/ps_color/__init__.py

matherm/ummon3

08476d21ce17cc95180525d48202a1690dfc8a08

[ "BSD-3-Clause" ]

1

2022-02-10T06:47:13.000Z

ummon/features/ps_color/__init__.py

matherm/ummon3

08476d21ce17cc95180525d48202a1690dfc8a08

[ "BSD-3-Clause" ]

null

ummon/features/ps_color/__init__.py

matherm/ummon3

08476d21ce17cc95180525d48202a1690dfc8a08

[ "BSD-3-Clause" ]

null

__all__ = ['psUtils', 'textureColorAnalysis', 'steerablePyramid', 'reconstructFromPyramid', 'featurecache']

107

0.785047

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107

13.333333

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1

0

null

0

5

5e0e4aedf75a748b00d30ad1534447b7e8cc4f45

139

py

Python

analyze_3d.py

Song-Jingyu/Carla-Roadside-Dataset-Generator

0f14a49069b6d8d0f4df93b3b0cd7f66608147f9

[ "MIT" ]

4

2021-11-02T20:36:39.000Z

2022-03-08T09:46:55.000Z

analyze_3d.py

Song-Jingyu/Carla-Roadside-Dataset-Generator

0f14a49069b6d8d0f4df93b3b0cd7f66608147f9

[ "MIT" ]

null

analyze_3d.py

Song-Jingyu/Carla-Roadside-Dataset-Generator

0f14a49069b6d8d0f4df93b3b0cd7f66608147f9

[ "MIT" ]

null

import numpy as np box = np.load('./data/obj/000090_3d.npy') id = np.load('./data/obj/000090_id.npy') print(box) print(len(box)) print(id)

19.857143

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139

3.481481

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0.212766

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139

7

42

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null

0

1

0

1

0

null

0

1

0

5

5e1a63f521c76b804abe65361101524cdc726f24

2,477

py

Python

pinax/documents/tests/test.py

pinax/pinax-documents

6fa0b9d42563dc28c6159fe1591e910f88aba4f2

[ "MIT" ]

54

2015-06-02T11:32:42.000Z

2022-03-31T20:22:29.000Z

pinax/documents/tests/test.py

pinax/pinax-documents

6fa0b9d42563dc28c6159fe1591e910f88aba4f2

[ "MIT" ]

21

2015-10-21T16:09:53.000Z

2020-08-31T17:25:34.000Z

pinax/documents/tests/test.py

pinax/pinax-documents

6fa0b9d42563dc28c6159fe1591e910f88aba4f2

[ "MIT" ]

27

2015-06-18T11:14:47.000Z

2021-08-31T21:32:12.000Z

from django.core.files.uploadedfile import SimpleUploadedFile from test_plus.test import TestCase as PlusTestCase from ..exceptions import DuplicateDocumentNameError, DuplicateFolderNameError from ..models import Document, Folder class BaseTest(PlusTestCase): def setUp(self): self.user = self.make_user("eldarion") class FolderTestCase(BaseTest): def test_cannot_have_duplicate_sibling_folder_names(self): Folder.objects.create(name="Foo", author=self.user, modified_by=self.user) with self.assertRaises(DuplicateFolderNameError): Folder.objects.create(name="Foo", author=self.user, modified_by=self.user) def test_can_have_duplicate_folder_names_at_different_paths(self): foo = Folder.objects.create(name="Foo", author=self.user, modified_by=self.user) bar = Folder.objects.create(name="Bar", parent=foo, author=self.user, modified_by=self.user) Folder.objects.create(name="Foo", parent=bar, author=self.user, modified_by=self.user) with self.assertRaises(DuplicateFolderNameError): Folder.objects.create(name="Bar", parent=foo, author=self.user, modified_by=self.user) class DocumentTestCase(BaseTest): def test_cannot_have_duplicate_sibling_document_names(self): simple_file = SimpleUploadedFile("delicious.txt", b"something tasty") Document.objects.create(name="Foo", author=self.user, file=simple_file, modified_by=self.user) with self.assertRaises(DuplicateDocumentNameError): Document.objects.create(name="Foo", author=self.user, file=simple_file, modified_by=self.user) def test_can_have_duplicate_document_names_at_different_paths(self): simple_file = SimpleUploadedFile("delicious.txt", b"something tasty") foo = Folder.objects.create(name="Foo", author=self.user, modified_by=self.user) bar = Folder.objects.create(name="Bar", parent=foo, author=self.user, modified_by=self.user) Document.objects.create(name="Foo", author=self.user, file=simple_file, modified_by=self.user) Document.objects.create(name="Bar", folder=foo, author=self.user, file=simple_file, modified_by=self.user) Document.objects.create(name="Foo", folder=bar, author=self.user, file=simple_file, modified_by=self.user) with self.assertRaises(DuplicateDocumentNameError): Document.objects.create(name="Bar", folder=foo, author=self.user, file=simple_file, modified_by=self.user)

52.702128

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null

0

1

0

null

0

5

eabd35ccd7652446f82a7fafb25ec7b9ab6f6b8e

181

py

Python

app/models/__init__.py

erik-at-techsanity/fastapi-template

f73b75ee461f0b8774adb41f9fccdab52314a1e3

[ "MIT" ]

3

2021-04-20T23:44:52.000Z

2022-02-16T02:24:43.000Z

app/models/__init__.py

erik-at-techsanity/fastapi-template

f73b75ee461f0b8774adb41f9fccdab52314a1e3

[ "MIT" ]

null

app/models/__init__.py

erik-at-techsanity/fastapi-template

f73b75ee461f0b8774adb41f9fccdab52314a1e3

[ "MIT" ]

null

# Standard Library Imports # None # 3rd-Party Imports from mongoengine import Document # App-Local Imports from app.models.product import Product class Base(Document): pass

13.923077

38

0.767956

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181

5.791667

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0.006667

0.171271

181

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39

15.083333

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0.359116

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0

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null

0

null

0

1

0

1

0

5

ead26b5ba953db58456beaba2b9d10f5906262e1

101

py

Python

samples/client/petstore-security-test/python/petstore_api/apis/__init__.py

wwadge/swagger-codegen

777619d4d106b7b387f8ee8469f4ec43f3cdfdc7

[ "Apache-2.0" ]

14,570

2015-01-01T21:46:46.000Z

2022-03-31T22:28:15.000Z

samples/client/petstore-security-test/python/petstore_api/apis/__init__.py

wwadge/swagger-codegen

777619d4d106b7b387f8ee8469f4ec43f3cdfdc7

[ "Apache-2.0" ]

9,058

2015-01-08T15:49:17.000Z

2022-03-31T13:10:01.000Z

samples/client/petstore-security-test/python/petstore_api/apis/__init__.py

LaudateCorpus1/swagger-codegen

e4f322ce197f1d6a0643de80f9a20bb521480426

[ "Apache-2.0" ]

6,907

2015-01-02T05:29:47.000Z

2022-03-31T00:55:45.000Z

from __future__ import absolute_import # import apis into api package from .fake_api import FakeApi

20.2

38

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5

eadc0067708d8146b02eed53664f24b9b64ed717

57

py

Python

artificial_idiot/example_player/__init__.py

Dovermore/artificial_intelligence_project

2d71afd241490b456dd58e71b8f1fa92e8e2f0b7

[ "MIT" ]

null

artificial_idiot/example_player/__init__.py

Dovermore/artificial_intelligence_project

2d71afd241490b456dd58e71b8f1fa92e8e2f0b7

[ "MIT" ]

null

artificial_idiot/example_player/__init__.py

Dovermore/artificial_intelligence_project

2d71afd241490b456dd58e71b8f1fa92e8e2f0b7

[ "MIT" ]

null

from example_player.player import ExamplePlayer as Player

57

0.894737

8

57

6.25

0.75

0

0.087719

57

1

57

0.961538

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true

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1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

eaeac10f6fb4ba346053079416c0c154ce032105

1,586

py

Python

server/processes/migrations/0155_auto_20210824_0628.py

CloudReactor/task_manager

464ca74371064fabb9a21b1f5bacba30360932ab

[ "Fair" ]

null

server/processes/migrations/0155_auto_20210824_0628.py

CloudReactor/task_manager

464ca74371064fabb9a21b1f5bacba30360932ab

[ "Fair" ]

6

2021-11-01T01:35:40.000Z

2022-02-11T03:33:06.000Z

server/processes/migrations/0155_auto_20210824_0628.py

CloudReactor/task_manager

464ca74371064fabb9a21b1f5bacba30360932ab

[ "Fair" ]

null

# Generated by Django 3.2.6 on 2021-08-24 06:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('processes', '0154_task_aws_ecs_service_tags'), ] operations = [ migrations.AlterField( model_name='task', name='environment_variables_overrides', field=models.JSONField(blank=True, null=True), ), migrations.AlterField( model_name='task', name='other_metadata', field=models.JSONField(blank=True, null=True), ), migrations.AlterField( model_name='taskexecution', name='environment_variables_overrides', field=models.JSONField(blank=True, null=True), ), migrations.AlterField( model_name='taskexecution', name='other_instance_metadata', field=models.JSONField(blank=True, null=True), ), migrations.AlterField( model_name='taskexecution', name='other_runtime_metadata', field=models.JSONField(blank=True, null=True), ), migrations.AlterField( model_name='workflowexecution', name='workflow_snapshot', field=models.JSONField(blank=True, null=True), ), migrations.AlterField( model_name='workflowtaskinstance', name='environment_variables_overrides', field=models.JSONField(blank=True, null=True), ), ]

32.367347

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1,586

6.297872

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0.690315

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1,586

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1

0

1

0

null

0

5

eaee0db231fc468c07550e445bb19bd0d51c63bc

117

py

Python

project_euler/solutions/problem_20.py

cryvate/project-euler

6ed13880d7916c34554559f5f71662a863735eda

[ "MIT" ]

null

project_euler/solutions/problem_20.py

cryvate/project-euler

6ed13880d7916c34554559f5f71662a863735eda

[ "MIT" ]

9

2017-02-20T23:41:40.000Z

2017-04-16T15:36:54.000Z

project_euler/solutions/problem_20.py

cryvate/project-euler

6ed13880d7916c34554559f5f71662a863735eda

[ "MIT" ]

null

from math import factorial def solve(n: int=100) -> str: return sum(int(digit) for digit in str(factorial(n)))

19.5

57

0.692308

20

117

4.05

0.75

0

0.03125

0.179487

117

5

58

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1

0.333333

false

0

0.333333

1

0

1

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null

0

1

0

null

0

1

0

1

0

5

d804c847c4f93861c0c931bf4764e88ae1603979

181

py

Python

seleniumpm/webelements/textelement.py

dougPhilips/python-seleniumpm

4ddff760cd4486bfd48efdb77e33fb4574dc0e5d

[ "Apache-2.0" ]

2

2020-01-13T14:41:08.000Z

2020-01-29T10:21:04.000Z

seleniumpm/webelements/textelement.py

dougPhilips/python-seleniumpm

4ddff760cd4486bfd48efdb77e33fb4574dc0e5d

[ "Apache-2.0" ]

1

2018-05-29T14:47:55.000Z

seleniumpm/webelements/textelement.py

dougPhilips/python-seleniumpm

4ddff760cd4486bfd48efdb77e33fb4574dc0e5d

[ "Apache-2.0" ]

null

from seleniumpm.webelements.element import Element class TextElement(Element): def __init__(self, driver, locator): super(TextElement, self).__init__(driver, locator)

25.857143

58

0.756906

20

181

6.45

0.65

0.20155

0

0.149171

181

6

59

30.166667

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0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

d824047b038d5df58d347212be5200c0a17152e7

186

py

Python

backend/user_profile/routers.py

HamzaouiSatoripop/mission_coach

ef31a7b34544d49acbc28fd7b3aeb778c7d9077a

[ "MIT" ]

null

backend/user_profile/routers.py

HamzaouiSatoripop/mission_coach

ef31a7b34544d49acbc28fd7b3aeb778c7d9077a

[ "MIT" ]

null

backend/user_profile/routers.py

HamzaouiSatoripop/mission_coach

ef31a7b34544d49acbc28fd7b3aeb778c7d9077a

[ "MIT" ]

null

from rest_framework import routers from user_profile.views import UserProfileViewSet user_profile_router = routers.DefaultRouter() user_profile_router.register('', UserProfileViewSet)

31

52

0.860215

21

186

7.333333

0.571429

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0.220779

0

0.080645

186

6

52

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0

1

0

false

0

0.5

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0.5

0

1

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null

1

0

1

0

null

0

1

0

5

dc256c97e7ec4a7fc2d3fd31603bf3a5c326fe1d

118

py

Python

RSaverBackend/admin.py

Sammy-Barasa/ReceiptSavingAppBackend

839bdeb898416f442a47c2e092f98a81654f8e07

[ "MIT" ]

null

RSaverBackend/admin.py

Sammy-Barasa/ReceiptSavingAppBackend

839bdeb898416f442a47c2e092f98a81654f8e07

[ "MIT" ]

9

2021-04-08T19:39:12.000Z

2022-03-12T00:46:02.000Z

RSaverBackend/admin.py

Sammy-Barasa/ReceiptSavingAppBackend

839bdeb898416f442a47c2e092f98a81654f8e07

[ "MIT" ]

null

from django.contrib import admin from .models import Receipt # Register your models here. admin.site.register(Receipt)

29.5

32

0.822034

17

118

5.705882

0.647059

0

0.110169

118

4

33

29.5

0.92381

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true

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1

0

null

0

1

0

1

0

1

0

5

dc7cc30079f804d94d254d6c8794f29cd9ec77de

340

py

Python

exerciciosCeV/ex074.py

riancarlos04/primeiros-passos-phyton

f1b16bd0206fd60472c969ba793b822ab92f67e9

[ "MIT" ]

null

exerciciosCeV/ex074.py

riancarlos04/primeiros-passos-phyton

f1b16bd0206fd60472c969ba793b822ab92f67e9

[ "MIT" ]

null

exerciciosCeV/ex074.py

riancarlos04/primeiros-passos-phyton

f1b16bd0206fd60472c969ba793b822ab92f67e9

[ "MIT" ]

null

from random import randint numeros = ((randint(1,10)), (randint(1,10)), (randint(1,10)), (randint(1,10)), (randint(1,10)), (randint(1,10))) print('Os números sorteados foram: ', end='') for c in numeros: print(c, end=' ') print(f'\nO maior numero foi: {max(numeros)}') print(f'O menor número foi: {min(numeros)}')

34

46

0.605882

52

340

3.961538

0.5

0.23301

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0.412621

0.291262

0

0.064516

0.179412

340

9

47

37.777778

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0

1

0

false

0

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null

1

0

1

0

null

0

1

0

5

dc9c68b7771ce6e5a88e73cba5e0e36b8de7e23d

189

py

Python

tyrell/decider/__init__.py

rodamber/Tyrell

ea737b8749af17340a62fd2b0840d8f6c48cfdfc

[ "Apache-2.0" ]

null

tyrell/decider/__init__.py

rodamber/Tyrell

ea737b8749af17340a62fd2b0840d8f6c48cfdfc

[ "Apache-2.0" ]

2

2019-01-23T17:09:01.000Z

2019-03-26T09:41:10.000Z

tyrell/decider/__init__.py

rodamber/Tyrell

ea737b8749af17340a62fd2b0840d8f6c48cfdfc

[ "Apache-2.0" ]

null

from .result import ok, bad from .blame import Blame from .decider import Decider from .example_base import Example, ExampleDecider from .example_constraint import ExampleConstraintDecider

31.5

56

0.846561

24

189

6.583333

0.5

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0

0.116402

189

5

57

37.8

0.946108

0

1

0

true

0

1

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f49c5c6e11f2246bff5f784842b73925f69058fd

135

py

Python

util.py

istvanmegyeri/mnist_code_examples

1233b3cd6a15dfde69f3df18b5f06fe17c3d3317

[ "MIT" ]

null

util.py

istvanmegyeri/mnist_code_examples

1233b3cd6a15dfde69f3df18b5f06fe17c3d3317

[ "MIT" ]

null

util.py

istvanmegyeri/mnist_code_examples

1233b3cd6a15dfde69f3df18b5f06fe17c3d3317

[ "MIT" ]

null

import os def mk_parent_dir(f_name): if not os.path.isdir(os.path.dirname(f_name)): os.makedirs(os.path.dirname(f_name))

19.285714

50

0.696296

25

135

3.56

0.56

0.168539

0.292135

0.314607

0.404494

0

0.162963

135

6

51

22.5

0.787611

0

1

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false

0

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0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

5

f4bd9531568643560b3dccf7266a48f3d6e05e53

99

py

Python

group.py

bismark163/Tests

3a98557862ba052246453241809d6b45b518036c

[ "Apache-2.0" ]

null

group.py

bismark163/Tests

3a98557862ba052246453241809d6b45b518036c

[ "Apache-2.0" ]

null

group.py

bismark163/Tests

3a98557862ba052246453241809d6b45b518036c

[ "Apache-2.0" ]

null

class ggg: def __init__(self, mail, passw): self.mail = mail self.passw = passw

24.75

36

0.585859

13

99

4.153846

0.538462

0.296296

0

0.313131

99

4

37

24.75

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0

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0.25

false

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0.5

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1

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null

1

0

1

0

null

0

1

0

1

0

5

f4f07a4adb082e6dce91b1ad05fd105dac98ab6b

17,782

py

Python

lib/peach/peach/nn/lrules.py

serddmitry/goog_challenge

3d81460e815d8adfea1e43c59906adbd402ee3c2

[ "Apache-1.1" ]

1

2016-08-09T21:34:05.000Z

lib/peach/peach/nn/lrules.py

serddmitry/goog_challenge

3d81460e815d8adfea1e43c59906adbd402ee3c2

[ "Apache-1.1" ]

null

lib/peach/peach/nn/lrules.py

serddmitry/goog_challenge

3d81460e815d8adfea1e43c59906adbd402ee3c2

[ "Apache-1.1" ]

null

################################################################################ # Peach - Computational Intelligence for Python # Jose Alexandre Nalon # # This file: nn/lrules.py # Learning rules for neural networks ################################################################################ # Doc string, reStructuredText formatted: __doc__ = """ Learning rules for neural networks and base classes for custom learning. This sub-package implements learning methods commonly used with neural networks. There are a lot of different topologies and different learning methods for each one. It is very difficult to find a consistent framework for defining learning methods, in consequence. This method defines some base classes that are coupled with the neural networks that they are supposed to work with. Also, based on these classes, some of the traditional methods are implemented. If you want to implement a different learning method, you must subclass the correct base class. Consult the classes below. Also, pay attention to how the implementation is expected to behave. Since learning algorithms are usually somewhat complex, care should be taken to make everything work accordingly. """ ################################################################################ from numpy import ones, hstack, reshape, dot, sum, exp _BIAS = ones((1, 1), dtype=float) """This constant vector is defined to implement in a fast way the bias of a neuron, as an input of value 1, stacked over the real input to the neuron.""" ################################################################################ # Classes ################################################################################ class FFLearning(object): ''' Base class for FeedForwarding Multilayer neural networks. As a base class, this class doesn't do anything. You should subclass this class if you want to implement a learning method for multilayer networks. A learning method for a neural net of this kind must deal with a ``FeedForward`` instance. A ``FeedForward`` object is a list of ``Layers`` (consulting the documentation of these classes is important!). Each layer is a bidimensional array, where each line represents the synaptic weights of a single neuron. So, a multilayer network is actually a three-dimensional array, if you will. Usually, though, learning methods for this kind of net propagate some measure of the error from the output back to the input (the ``BackPropagation`` method, for instance). A class implementing a learning method should have at least two methods: __init__ The ``__init__`` method should initialize the object. It is in general used to configure some property of the learning algorithm, such as the learning rate. __call__ The ``__call__`` interface is how the method should interact with the neural network. It should have the following signature:: __call__(self, nn, x, d) where ``nn`` is the ``FeedForward`` instance to be modified *in loco*, ``x`` is the input vector and ``d`` is the desired response of the net for that particular input vector. It should return nothing. ''' def __call__(self, nn, x, d): ''' The ``__call__`` interface. Read the documentation for this class for more information. A call to the class should have the following parameters: :Parameters: nn A ``FeedForward`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. d The desired response for the given input vector. ''' raise NotImplementedError, 'learning rule not defined' ################################################################################ class LMS(FFLearning): ''' The Least-Mean-Square (LMS) learning method. The LMS method is a very simple method of learning, thoroughly described in virtually every book about the subject. Please, consult a good book on neural networks for more information. This implementation tries to use the ``numpy`` routines as much as possible for better efficiency. ''' def __init__(self, lrate=0.05): ''' Initializes the object. :Parameters: lrate Learning rate to be used in the algorithm. Defaults to 0.05. ''' self.lrate = lrate '''Learning rate used in the algorithm.''' def __call__(self, nn, x, d): ''' The ``__call__`` interface. The learning implementation. Read the documentation for the base class for more information. A call to the class should have the following parameters: :Parameters: nn A ``FeedForward`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. d The desired response for the given input vector. ''' # g would be like the local error gradient for each neuron. In LMS, this # serves only to propagate the error d = reshape(d, (nn.y.shape)) g = d - nn.y # The error is backpropagated, thus the lists are inverted. To combine # each layer, we ``zip`` them. for w1, w2 in zip(nn[:-1][::-1], nn[1:][::-1]): # xs is the input vector, transposed because of backpropagation. xs = w1.y.transpose() # Adjusts for bias. if w2.bias: xs = hstack((_BIAS, xs)) wt = w2.weights[:, 1:].transpose() else: wt = w2.weights.transpose() # Update synaptic weights dw = self.lrate * dot(g, xs) w2.weights = w2.weights + dw # Backpropagate the error. g = dot(wt, g) # Repeat the procedure for the first layer. w = nn[0] xs = x.reshape((1, w.inputs)) if w.bias: xs = hstack((_BIAS, xs)) dw = self.lrate * dot(g, xs) w.weights = w.weights + dw WidrowHoff = LMS '''Alias for the LMS class''' DeltaRule = LMS '''Alias for the LMS class''' ################################################################################ class BackPropagation(FFLearning): ''' The BackPropagation learning method. The backpropagation method is a very simple method of learning, thoroughly described in virtually every book about the subject. Please, consult a good book on neural networks for more information. This implementation tries to use the ``numpy`` routines as much as possible for better efficiency. ''' def __init__(self, lrate=0.05): ''' Initializes the object. :Parameters: lrate Learning rate to be used in the algorithm. Defaults to 0.05. ''' self.lrate = lrate '''Learning rate used in the algorithm.''' def __call__(self, nn, x, d): ''' The ``__call__`` interface. The learning implementation. Read the documentation for the base class for more information. A call to the class should have the following parameters: :Parameters: nn A ``FeedForward`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. d The desired response for the given input vector. ''' # g is the local error gradient for each neuron. d = reshape(d, (nn.y.shape)) g = (d - nn.y) * nn[-1].phi.d(nn[-1].v) # The error is backpropagated, thus the lists are inverted. To combine # each layer, we ``zip`` them. for w1, w2 in zip(nn[:-1][::-1], nn[1:][::-1]): # xs is the input vector, transposed because of backpropagation. xs = w1.y.transpose() # Adjusts for bias. if w2.bias: xs = hstack((_BIAS, xs)) wt = w2.weights[:, 1:].transpose() else: wt = w2.weights.transpose() # Update synaptic weights dw = self.lrate * dot(g, xs) w2.weights = w2.weights + dw # Backpropagate the error. g = dot(wt, g) * w1.phi.d(w1.v) # Repeat the procedure for the first layer. w = nn[0] xs = x.reshape((1, w.inputs)) if w.bias: xs = hstack((_BIAS, xs)) dw = self.lrate * dot(g, xs) w.weights = w.weights + dw ################################################################################ class SOMLearning(object): ''' Base class for Self-Organizing Maps. As a base class, this class doesn't do anything. You should subclass this class if you want to implement a learning method for self-organizing maps. A learning method for a neural net of this kind must deal with a ``SOM`` instance. A ``SOM`` object is a ``Layer`` (consulting the documentation of these classes is important!). A class implementing a learning method should have at least two methods: __init__ The ``__init__`` method should initialize the object. It is in general used to configure some property of the learning algorithm, such as the learning rate. __call__ The ``__call__`` interface is how the method should interact with the neural network. It should have the following signature:: __call__(self, nn, x) where ``nn`` is the ``SOM`` instance to be modified *in loco*, and ``x`` is the input vector. It should return nothing. ''' def __call__(self, nn, x, d): ''' The ``__call__`` interface. Read the documentation for this class for more information. A call to the class should have the following parameters: :Parameters: nn A ``SOM`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. ''' raise NotImplementedError, 'learning rule not defined' ################################################################################ class WinnerTakesAll(SOMLearning): ''' Purely competitive learning method without learning rate adjust. A winner-takes-all strategy detects the winner on the self-organizing map and adjusts it in the direction of the input vector, scaled by the learning rate. Its tendency is to cluster around the gravity center of the points in the training set. ''' def __init__(self, lrate=0.05): ''' Initializes the object. :Parameters: lrate Learning rate to be used in the algorithm. Defaults to 0.05. ''' self.lrate = lrate '''Learning rate used with the algorithm.''' def __call__(self, nn, x): ''' The ``__call__`` interface. The learning implementation. Read the documentation for the base class for more information. A call to the class should have the following parameters: :Parameters: nn A ``SOM`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. ''' xs = x.reshape((nn.inputs, 1)) i = nn.y w = nn.weights dw = self.lrate * (x - w[i]) w[i] = w[i] + dw WTA = WinnerTakesAll '''Alias for the ``WinnerTakesAll`` class''' ################################################################################ class Competitive(SOMLearning): ''' Competitive learning with time adjust of the learning rate. A competitive strategy detects the winner on the self-organizing map and adjusts it in the direction of the input vector, scaled by the learning rate. Its tendency is to cluster around the gravity center of the points in the training set. As time passes, the learning rate grows smaller, this allows for better adjustment of the synaptic weights. ''' def __init__(self, lrate=0.05, tl=1000.): ''' Initializes the object. :Parameters: lrate Learning rate to be used in the algorithm. Defaults to 0.05. tl Time constant that measures how many iterations will be needed to reduce the learning rate to a small value. Defaults to 1000. ''' self.lrate = lrate self.__lrate = 1.0 self.__lrm = exp(-1.0/float(tl)) def __call__(self, nn, x): ''' The ``__call__`` interface. The learning implementation. Read the documentation for the base class for more information. A call to the class should have the following parameters: :Parameters: nn A ``SOM`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. ''' xs = x.reshape((nn.inputs, 1)) i = nn.y w = nn.weights # Adjusts the learning rate according to an exponential rule lrate = self.lrate * self.__lrate self.__lrate = self.__lrate * self.__lrm # Updates the weights dw = lrate * (x - w[i]) w[i] = w[i] + dw ################################################################################ class Cooperative(SOMLearning): ''' Cooperative learning with time adjust of the learning rate and neighborhood function to propagate cooperation A cooperative strategy detects the winner on the self-organizing map and adjusts it in the direction of the input vector, scaled by the learning rate. Its tendency is to cluster around the gravity center of the points in the training set. As time passes, the learning rate grows smaller, this allows for better adjustment of the synaptic weights. Also, a neighborhood is defined on the winner. Neurons close to the winner are also updated in the direction of the input vector, although with a smaller scale determined by the neighborhood function. A neighborhood function is 1. at 0., and decreases monotonically as the distance increases. *There are issues with this class!* -- some of the class capabilities are yet to be developed. ''' def __init__(self, lrate=0.05, tl=1000, tn=1000): ''' Initializes the object. :Parameters: lrate Learning rate to be used in the algorithm. Defaults to 0.05. tl Time constant that measures how many iterations will be needed to reduce the learning rate to a small value. Defaults to 1000. tn Time constant that measures how many iterations will be needed to shrink the neighborhood. Defaults to 1000. ''' self.__neighbor = 1.0 self.__lrate = 1.0 self.__lrm = exp(-1.0/float(tl)) self.__nbm = exp(-1.0/float(tn)) self.__s0 = float(s0) def __call__(self, nn, x): ''' The ``__call__`` interface. The learning implementation. Read the documentation for the base class for more information. A call to the class should have the following parameters: :Parameters: nn A ``SOM`` neural network instance that is going to be modified by the learning algorithm. The modification is made *in loco*, that is, the synaptic weights of ``nn`` should be modified in place, and not returned from this function. x The input vector from the training set. ''' xs = x.reshape((nn.inputs, 1)) i = nn.y w = nn.weights wi = nn.weights[i, :] # Adjusts the learning rate according to an exponential rule lrate = nn.lrate * self.__lrate self.__lrate = self.__lrate * self.__lrm # Apply neighborhood function. s = self.__s0 * self.__neighbor self.__neighbor = self.__neighbor * self.__nbm d = sum((wi - w)**2, axis=1) h = exp(-d/(2*s**2)) # Updates the weights dw = lrate * h * (x - w).transpose() w = w + dw.transpose() nn.weights = w ################################################################################ # Test if __name__ == "__main__": pass

36.663918

80

0.59071

2,254

17,782

4.583407

0.154392

0.028748

0.020327

0.019166

0.75075

0.734585

0.72326

0.702739

0.680476

0.670216

0

0.009075

0.287369

17,782

485

81

36.663918

0.806187

0.059498

0

0.575221

0

0.190004

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null

0.00885

null

0

null

0

1

0

1

0

null

0

1

0

5

f4fa58398d3e39742800cf3dffdb80242e88913b

56

py

Python

src/psion/oauth2/authentication/__init__.py

revensky/psion

dfe38a1a4f4d6a5029d0973dbe1326415df6d512

[ "MIT" ]

2

2021-02-22T22:12:23.000Z

2021-02-22T22:48:33.000Z

src/psion/oauth2/authentication/__init__.py

revensky/psion

dfe38a1a4f4d6a5029d0973dbe1326415df6d512

[ "MIT" ]

null

src/psion/oauth2/authentication/__init__.py

revensky/psion

dfe38a1a4f4d6a5029d0973dbe1326415df6d512

[ "MIT" ]

null

from .client_authentication import ClientAuthentication

28

55

0.910714

5

56

10

1

0

0.071429

56

1

56

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

760912059c1d4300b7003cf2f721139b61605a11

69

py

Python

LuoguCodes/AT277.py

Anguei/OI-Codes

0ef271e9af0619d4c236e314cd6d8708d356536a

[ "MIT" ]

null

LuoguCodes/AT277.py

Anguei/OI-Codes

0ef271e9af0619d4c236e314cd6d8708d356536a

[ "MIT" ]

null

LuoguCodes/AT277.py

Anguei/OI-Codes

0ef271e9af0619d4c236e314cd6d8708d356536a

[ "MIT" ]

null

n = int(raw_input()) print (n // 10) * 100 + min((n % 10) * 15, 100)

23

47

0.507246

13

69

2.615385

0.692308

0.176471

0

0.226415

0.231884

69

2

48

34.5

0.415094

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

760a25addd5afed0dc68215774047c77c1b1a05a

5,694

py

Python

stars/test/test_player.py

therussellhome/inherit_the_stars

aa498103e1683625f762afee8c95ffcebb77ca03

[ "Unlicense" ]

null

stars/test/test_player.py

therussellhome/inherit_the_stars

aa498103e1683625f762afee8c95ffcebb77ca03

[ "Unlicense" ]

null

stars/test/test_player.py

therussellhome/inherit_the_stars

aa498103e1683625f762afee8c95ffcebb77ca03

[ "Unlicense" ]

null

import unittest from .. import * class PlayerTestCase(unittest.TestCase): def test_do_research(self): #TODO return p = player.Player() p.energy = 1000000 p.energy_minister.allocate_budget(p.energy) p.energy_minister.research_budget = 100 p.research_field = 'energy' p.tech_level.energy = 0 p.next_tech_cost.energy = 100 p._do_research() self.assertEqual(p.tech_level.energy, 1) self.assertEqual(p.energy_minister.research_budget, 0) p.energy_minister.research_budget = 300 p.research_field = 'energy' p.tech_level.energy = 0 p.next_tech_cost.energy = 100 p._do_research() self.assertEqual(p.tech_level.energy, 2) self.assertEqual(p.energy_minister.research_budget, 0) def test_calc_research_cost(self): # TODO pass def test_calc_next_research_field(self): # TODO pass def test_allocate(self): return # TODO these tests predate the move to player m = energy_minister.EnergyMinister() # test 1 m.energy_minister_construction_percent = 100 m.energy_minister_mattrans_percent = 100 m.energy_minister_research_percent = 100 m.allocate_budget(100) self.assertEqual(m.construction_budget, 100) self.assertEqual(m.mattrans_budget, 0) self.assertEqual(m.research_budget, 0) self.assertEqual(m.unallocated_budget, 0) # test 2 m.energy_minister_construction_percent = 0 m.energy_minister_mattrans_percent = 100 m.energy_minister_research_percent = 100 m.allocate_budget(100) self.assertEqual(m.construction_budget, 0) self.assertEqual(m.mattrans_budget, 100) self.assertEqual(m.research_budget, 0) self.assertEqual(m.unallocated_budget, 0) # test 3 m.energy_minister_construction_percent = 0 m.energy_minister_mattrans_percent = 0 m.energy_minister_research_percent = 100 m.allocate_budget(100) self.assertEqual(m.construction_budget, 0) self.assertEqual(m.mattrans_budget, 0) self.assertEqual(m.research_budget, 100) self.assertEqual(m.unallocated_budget, 0) # test 4 m.energy_minister_construction_percent = 0 m.energy_minister_mattrans_percent = 0 m.energy_minister_research_percent = 0 m.allocate_budget(100) self.assertEqual(m.construction_budget, 0) self.assertEqual(m.mattrans_budget, 0) self.assertEqual(m.research_budget, 0) self.assertEqual(m.unallocated_budget, 100) # test 5 m.energy_minister_construction_percent = 10 m.energy_minister_mattrans_percent = 10 m.energy_minister_research_percent = 10 m.allocate_budget(100) self.assertEqual(m.construction_budget, 10) self.assertEqual(m.mattrans_budget, 10) self.assertEqual(m.research_budget, 10) self.assertEqual(m.unallocated_budget, 70) def test_check_budget(self): return # TODO these tests predate the move to player m = energy_minister.EnergyMinister() m.energy_minister_construction_percent = 40 m.energy_minister_mattrans_percent = 30 m.energy_minister_research_percent = 20 m.allocate_budget(100) self.assertEqual(m.check_budget('ship', 30), 30) self.assertEqual(m.check_budget('ship', 40), 40) self.assertEqual(m.check_budget('ship', 111), 40) self.assertEqual(m.check_budget('planetary', 111), 40) self.assertEqual(m.check_budget('baryogenesis', 111), 40) self.assertEqual(m.check_budget('mattrans', 111), 30) self.assertEqual(m.check_budget('research', 111), 20) self.assertEqual(m.check_budget('trade', 111), 100) m.energy_minister_mattrans_use_surplus = True self.assertEqual(m.check_budget('mattrans', 111), 70) m.energy_minister_research_use_surplus = True self.assertEqual(m.check_budget('research', 111), 90) self.assertEqual(m.construction_budget, 40) self.assertEqual(m.mattrans_budget, 30) self.assertEqual(m.research_budget, 20) self.assertEqual(m.unallocated_budget, 10) def test_spend_budget(self): return # TODO these tests predate the move to player m = energy_minister.EnergyMinister() m.energy_minister_construction_percent = 40 m.energy_minister_mattrans_percent = 30 m.energy_minister_research_percent = 20 m.allocate_budget(100) # Construction self.assertEqual(m.spend_budget('ship', 1), 1) self.assertEqual(m.construction_budget, 39) self.assertEqual(m.spend_budget('planetary', 1), 1) self.assertEqual(m.construction_budget, 38) self.assertEqual(m.spend_budget('baryogenesis', 1), 1) self.assertEqual(m.construction_budget, 37) # Mattrans self.assertEqual(m.spend_budget('mattrans', 111), 30) self.assertEqual(m.mattrans_budget, 0) m.energy_minister_mattrans_use_surplus = True self.assertEqual(m.spend_budget('mattrans', 5), 5) self.assertEqual(m.mattrans_budget, -5) # Research self.assertEqual(m.spend_budget('research', 111), 20) self.assertEqual(m.research_budget, 0) m.energy_minister_research_use_surplus = True self.assertEqual(m.spend_budget('research', 111), 32) self.assertEqual(m.research_budget, -32) # Unallocated self.assertEqual(m.spend_budget('trade', 111), 10) self.assertEqual(m.unallocated_budget, 0)

41.867647

65

0.67457

708

5,694

5.175141

0.096045

0.22107

0.218341

0.057314

0.894105

0.726801

0.669214

0.546124

0.509552

0.49536

0

0.050766

0.231999

5,694

135

66

42.177778

0.787103

0.03934

0

0.521368

0

0.026398

0

0.007407

0.461538

1

0.051282

false

0.017094

0

0.111111

0

null

1

0

1

0

null

0

1

0

5

762ca0f6cff6c836eddfcba63490fcf3d342f031

349

py

Python

pyscf/neo/__init__.py

zc62/pyscf

4ed05044d44d49c3ffd4d2e098e9031478fb39e7

[ "Apache-2.0" ]

null

pyscf/neo/__init__.py

zc62/pyscf

4ed05044d44d49c3ffd4d2e098e9031478fb39e7

[ "Apache-2.0" ]

null

pyscf/neo/__init__.py

zc62/pyscf

4ed05044d44d49c3ffd4d2e098e9031478fb39e7

[ "Apache-2.0" ]

null

#!/usr/bin/env python from pyscf.neo.mole import Mole from pyscf.neo.hf import HF from pyscf.neo.ks import KS from pyscf.neo.cdft import CDFT from pyscf.neo.grad import Gradients from pyscf.neo.cphf import CPHF from pyscf.neo.hessian import Hessian from pyscf.neo.ase import Pyscf_NEO, Pyscf_DFT from pyscf.neo.mp2 import MP2 #import pyscf.neo.pbc

26.846154

46

0.802292

65

349

4.276923

0.307692

0.316547

0.388489

0

0.006515

0.120344

349

12

47

29.083333

0.899023

0.114613

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

52060d23e685dce277bc7a0f01f3af1e4214baa0

3,189

py

Python

src/compas/datastructures/__init__.py

adacko/compas

47c443ad3825897ec7ed932ec20734c2f08ef120

[ "MIT" ]

null

src/compas/datastructures/__init__.py

adacko/compas

47c443ad3825897ec7ed932ec20734c2f08ef120

[ "MIT" ]

null

src/compas/datastructures/__init__.py

adacko/compas

47c443ad3825897ec7ed932ec20734c2f08ef120

[ "MIT" ]

1

2022-01-16T02:32:43.000Z

""" ******************************************************************************** datastructures ******************************************************************************** .. currentmodule:: compas.datastructures Mesh ==== The mesh is implemented as a half-edge datastructure. It is meant for the representation of polygonal *"surface"* meshes. A mesh can be connected or disconnected. A mesh can be closed or open. A mesh can be comprised of only vertices. .. autosummary:: :toctree: generated/ :nosignatures: Mesh Mesh matrices ------------- .. autosummary:: :toctree: generated/ :nosignatures: mesh_adjacency_matrix mesh_connectivity_matrix mesh_degree_matrix mesh_face_matrix mesh_laplacian_matrix .. autosummary:: :toctree: generated/ :nosignatures: trimesh_cotangent_laplacian_matrix trimesh_vertexarea_matrix Mesh algorithms --------------- .. autosummary:: :toctree: generated/ :nosignatures: mesh_bounding_box mesh_bounding_box_xy mesh_oriented_bounding_box_numpy mesh_oriented_bounding_box_xy_numpy mesh_contours_numpy mesh_dual mesh_geodesic_distances mesh_isolines_numpy mesh_planarize_faces mesh_quads_to_triangles mesh_smooth_centroid mesh_smooth_area mesh_subdivide mesh_subdivide_tri mesh_subdivide_corner mesh_subdivide_quad mesh_subdivide_catmullclark mesh_subdivide_doosabin mesh_transform mesh_transformed .. autosummary:: :toctree: generated/ :nosignatures: trimesh_gaussian_curvature trimesh_remesh trimesh_subdivide_loop Mesh helpers ------------ .. autosummary:: :toctree: generated/ :nosignatures: mesh_delete_duplicate_vertices mesh_face_adjacency mesh_flip_cycles mesh_is_connected mesh_unify_cycles Network ======= The network is a connectivity graph. It is meant for the representation of networks of vertices connected by edges. The edges are directed. A network does not have faces. A network can be connected or disconnected. A network with vertices only is also a valid network. .. autosummary:: :toctree: generated/ :nosignatures: Network Network algorithms ------------------ .. autosummary:: :toctree: generated/ :nosignatures: network_complement network_count_crossings network_dual network_embed_in_plane network_find_crossings network_find_faces network_is_connected network_is_crossed network_is_planar network_is_planar_embedding network_is_xy network_smooth_centroid VolMesh ======= The volmesh is a cellular mesh. It is implemented as a half-plane, the three-dimensional equivalent of a half-edge. It can, for example, be used for the representation of subdivided/partitioned polyhedra. .. autosummary:: :toctree: generated/ :nosignatures: VolMesh """ from __future__ import absolute_import from __future__ import division from __future__ import print_function class Datastructure(object): pass from .network import * from .mesh import * from .volmesh import * __all__ = [name for name in dir() if not name.startswith('_')]

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1

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null

0

1

0

1

0

5

5210c18714c689062802f8dfb64ab77d6eba1984

80

py

Python

rascil/workflows/rsexecute/image/__init__.py

SKA-ScienceDataProcessor/rascil

bd3b47f779e18e184781e2928ad1539d1fdc1c9b

[ "Apache-2.0" ]

7

2019-12-14T13:42:33.000Z

2022-01-28T03:31:45.000Z

rascil/workflows/rsexecute/image/__init__.py

SKA-ScienceDataProcessor/rascil

bd3b47f779e18e184781e2928ad1539d1fdc1c9b

[ "Apache-2.0" ]

6

2020-01-08T09:40:08.000Z

2020-06-11T14:56:13.000Z

rascil/workflows/rsexecute/image/__init__.py

SKA-ScienceDataProcessor/rascil

bd3b47f779e18e184781e2928ad1539d1fdc1c9b

[ "Apache-2.0" ]

3

2020-01-14T11:14:16.000Z

2020-09-15T05:21:06.000Z

""" Workflows for operating on images """ from .image_rsexecute import *

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1

0

1

0

1

0

5

5286466fc8368c7af260fdb530bdc863fbbdfed2

44

py

Python

flash_air_music/convert/__init__.py

Robpol86/FlashAirMusic

acc5db1c4a1590623168eed05e48a8975f340d9f

[ "MIT" ]

null

flash_air_music/convert/__init__.py

Robpol86/FlashAirMusic

acc5db1c4a1590623168eed05e48a8975f340d9f

[ "MIT" ]

5

2016-01-03T08:39:06.000Z

2016-02-16T03:30:50.000Z

flash_air_music/convert/__init__.py

Robpol86/FlashAirMusic

acc5db1c4a1590623168eed05e48a8975f340d9f

[ "MIT" ]

null

"""Handles converting FLAC files to MP3."""

22

43

0.704545

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44

5.166667

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0.026316

0.136364

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1

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1

0

null

0

1

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5

870f0563926746a11490ed3bcbda85e0daded7db

213

py

Python

lazylawyer/database/table_appeals.py

branislav1991/LazyLawyer

ff4433158e123cd505874da896946dc791e9c573

[ "MIT" ]

null

lazylawyer/database/table_appeals.py

branislav1991/LazyLawyer

ff4433158e123cd505874da896946dc791e9c573

[ "MIT" ]

null

lazylawyer/database/table_appeals.py

branislav1991/LazyLawyer

ff4433158e123cd505874da896946dc791e9c573

[ "MIT" ]

null

from lazylawyer.database import database as db def write_appeals(appeals): """Stores all appeals reference to the database. """ db.batch_insert_check('appeals', appeals, attrs=['orig_case_id'])

30.428571

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213

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0.178404

213

6

71

35.5

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null

0

1

0

1

0

1

0

5

87187b29e35e40077fcb6a48e16e33514906d5d1

43

py

Python

Chapter12/run.py

shalevy1/Flask-Framework-Cookbook-Second-Edition

e219c3c243f147fa6ebd09c114b08ea2b9109cfa

[ "MIT" ]

42

2019-07-21T09:10:17.000Z

2022-02-21T01:12:18.000Z

Chapter12/run.py

shalevy1/Flask-Framework-Cookbook-Second-Edition

e219c3c243f147fa6ebd09c114b08ea2b9109cfa

[ "MIT" ]

2

2019-09-11T16:17:06.000Z

2021-03-01T18:46:20.000Z

Chapter12/run.py

shalevy1/Flask-Framework-Cookbook-Second-Edition

e219c3c243f147fa6ebd09c114b08ea2b9109cfa

[ "MIT" ]

45

2019-07-17T22:50:28.000Z

2022-03-23T13:52:59.000Z

from my_app import app app.run(debug=True)

14.333333

22

0.790698

9

43

3.666667

0.777778

0

0.116279

43

2

23

21.5

0.868421

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1

0

true

0

0.5

0

0.5

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null

0

1

0

null

0

1

0

1

0

5

87652a6548a857dcb3c2c0ce34f6a848940238f4

40

py

Python

src/multitfa/data/__init__.py

biosustain/multitfa

ab5a9bf6c19a94a221c9a137cccfcacdc2c1cb50

[ "Apache-2.0" ]

4

2020-11-27T20:25:57.000Z

2021-03-12T22:01:34.000Z

src/multitfa/data/__init__.py

biosustain/multitfa

ab5a9bf6c19a94a221c9a137cccfcacdc2c1cb50

[ "Apache-2.0" ]

8

2020-11-29T23:56:31.000Z

2021-04-09T11:23:17.000Z

src/multitfa/data/__init__.py

biosustain/multitfa

ab5a9bf6c19a94a221c9a137cccfcacdc2c1cb50

[ "Apache-2.0" ]

1

2021-11-11T09:22:57.000Z

"""Provide data file to the package."""

20

39

0.675

6

40

4.5

1

0

0.15

40

1

40

0.794118

0.825

0

null

0

null

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null

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null

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null

true

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null

0

1

0

1

0

null

0

1

0

5

876d6a278d755862379ea5ca9e828a1fe542edf0

171

py

Python

webserver/moduler/controller/controller.py

akhtarnabeel/ecoforecastCS

31bfeb3d663fb113bac9efe86caea4bf908fa434

[ "MIT" ]

null

webserver/moduler/controller/controller.py

akhtarnabeel/ecoforecastCS

31bfeb3d663fb113bac9efe86caea4bf908fa434

[ "MIT" ]

null

webserver/moduler/controller/controller.py

akhtarnabeel/ecoforecastCS

31bfeb3d663fb113bac9efe86caea4bf908fa434

[ "MIT" ]

2

2020-05-01T17:58:17.000Z

2020-07-27T20:38:40.000Z

#!usr/bin/python import configparser; config = configparser.ConfigParser();config.read('config.cfg') if __name__=="__main__": print type(config['web-server']['port'])

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171

5.571429

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0.081871

171

7

84

24.428571

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1

0

null

0

1

0

1

0

5

877a9c066e653111dc5487f48676ab61735f5176

173

py

Python

users/forms.py

frankdevelopero/django-frikr

1845ea0a571f0285afc042618aacb6d7d87d7353

[ "MIT" ]

null

users/forms.py

frankdevelopero/django-frikr

1845ea0a571f0285afc042618aacb6d7d87d7353

[ "MIT" ]

null

users/forms.py

frankdevelopero/django-frikr

1845ea0a571f0285afc042618aacb6d7d87d7353

[ "MIT" ]

null

from django import forms class LoginForm(forms.Form): usr = forms.CharField(label="Usuario") pwd = forms.CharField(label="Contraseña", widget=forms.PasswordInput)

24.714286

73

0.745665

21

173

6.142857

0.714286

0.217054

0.294574

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0.132948

173

6

74

28.833333

0.86

0

0.098266

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1

0

false

0.25

0

1

0

1

0

null

1

0

1

0

null

0

1

0

5

5ea5b896308612a702c41a31972ca1127a9b11ad

923

py

Python

docs/jnpr_healthbot_swagger/swagger_client/api/__init__.py

minefuto/healthbot-py-client

bb81452c974456af44299aebf32a73abeda8a943

[ "Apache-2.0" ]

null

docs/jnpr_healthbot_swagger/swagger_client/api/__init__.py

minefuto/healthbot-py-client

bb81452c974456af44299aebf32a73abeda8a943

[ "Apache-2.0" ]

null

docs/jnpr_healthbot_swagger/swagger_client/api/__init__.py

minefuto/healthbot-py-client

bb81452c974456af44299aebf32a73abeda8a943

[ "Apache-2.0" ]

null

from __future__ import absolute_import # flake8: noqa # import apis into api package from swagger_client.api.administration_api import AdministrationApi from swagger_client.api.authentication_api import AuthenticationApi from swagger_client.api.configuration_api import ConfigurationApi from swagger_client.api.data_source_api import DataSourceApi from swagger_client.api.data_store_api import DataStoreApi from swagger_client.api.debug_api import DebugApi from swagger_client.api.default_api import DefaultApi from swagger_client.api.documentation_api import DocumentationApi from swagger_client.api.facts_api import FactsApi from swagger_client.api.instance_schedule_state_api import InstanceScheduleStateApi from swagger_client.api.license_api import LicenseApi from swagger_client.api.logs_api import LogsApi from swagger_client.api.services_api import ServicesApi from swagger_client.api.system_api import SystemApi

46.15

83

0.889491

128

923

6.125

0.335938

0.196429

0.303571

0.357143

0.061224

0

0.001174

0.076923

923

19

84

48.578947

0.919014

0.04442

0

1

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true

0

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null

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null

0

1

0

1

0

1

0

5

5ed4893aa3d82971eb07e8a3cc9763f23cff15b4

30

py

Python

bibserver/auth/__init__.py

jgoldfar/bibserver

ccf0e60f1983bb5db4c2594bbd8187139556be90

[ "MIT" ]

47

2015-01-07T06:53:22.000Z

2021-02-27T08:48:43.000Z

bibserver/auth/__init__.py

dartar/bibserver

0640592200476bd97dfe9678173d30759bdbce30

[ "OML" ]

10

2015-02-08T12:48:27.000Z

2018-11-08T02:47:19.000Z

bibserver/auth/__init__.py

dartar/bibserver

0640592200476bd97dfe9678173d30759bdbce30

[ "OML" ]

21

2015-01-16T06:31:43.000Z

2021-02-27T08:49:18.000Z

import collection import user

10

17

0.866667

4

30

6.5

0.75

0

0.133333

30

2

18

15

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0db43653000af9adcec19e6e0656f6027aeb666c

333

py

Python

tests/stores.py

meghabhoj/NEWBAZAAR

cb1405dcb2c8b4812ddf724d5a3c07b2f77c1b34

[ "BSD-2-Clause-FreeBSD" ]

null

tests/stores.py

meghabhoj/NEWBAZAAR

cb1405dcb2c8b4812ddf724d5a3c07b2f77c1b34

[ "BSD-2-Clause-FreeBSD" ]

null

tests/stores.py

meghabhoj/NEWBAZAAR

cb1405dcb2c8b4812ddf724d5a3c07b2f77c1b34

[ "BSD-2-Clause-FreeBSD" ]

null

from __future__ import absolute_import from __future__ import unicode_literals from bazaar.listings.stores.strategies import DefaultStoreStrategy class Store1(DefaultStoreStrategy): def get_store_name(self): return "Store 1" class Store2(DefaultStoreStrategy): def get_store_name(self): return "Store 2"

22.2

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0.777778

39

333

6.282051

0.564103

0.081633

0.130612

0.253061

0.408163

0

0.014388

0.165165

333

14

67

23.785714

0.866906

0

0.222222

0

0.042042

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1

0.222222

false

0

0.333333

0.222222

1

0

null

0

1

0

null

0

1

0

1

0

5

21cdcdb0a1f00e654cce586794038d395dd30b80

46

py

Python

test/formatters/samplecode/black/in.py

mohkale/apheleia

75074a2f11e29aeca376b3004270a93ce44e59de

[ "MIT" ]

null

test/formatters/samplecode/black/in.py

mohkale/apheleia

75074a2f11e29aeca376b3004270a93ce44e59de

[ "MIT" ]

null

test/formatters/samplecode/black/in.py

mohkale/apheleia

75074a2f11e29aeca376b3004270a93ce44e59de

[ "MIT" ]

null

def asdjf ( l, a): 3 +4

9.2

20

0.26087

6

46

2

1

0

0.117647

0.630435

46

4

21

11.5

0.588235

0

1

0.25

false

0

0.25

0

1

0

null

0

1

0

1

0

null

0

1

0

5

21d125253f8a5cda1806b69aa7684a98a8e79afe

161

py

Python

best_cn_finetune/preprocess/__init__.py

you-know-who-2017/QA_MRC

323591995ac4ca0ca39e6101f6ff1c6f88104bc8

[ "MIT" ]

null

best_cn_finetune/preprocess/__init__.py

you-know-who-2017/QA_MRC

323591995ac4ca0ca39e6101f6ff1c6f88104bc8

[ "MIT" ]

null

best_cn_finetune/preprocess/__init__.py

you-know-who-2017/QA_MRC

323591995ac4ca0ca39e6101f6ff1c6f88104bc8

[ "MIT" ]

null

''' Author: geekli Date: 2020-12-28 15:53:18 LastEditTime: 2020-12-28 15:53:19 LastEditors: your name Description: FilePath: \QA_MRC\preprocess\__init__.py '''

17.888889

40

0.745342

26

161

4.423077

0.807692

0.104348

0.13913

0.173913

0.208696

0

0.194444

0.10559

161

8

41

20.125

0.604167

0.944099

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

21f0a27826fe6d05bf6a7d288647b63d5e047d8e

112

py

Python

battlehack20/engine/__init__.py

cooljoseph1/battlehack20-minimal

3a1207b7eeb48123664d870706971907bbe8c101

[ "MIT" ]

1

2021-01-01T19:02:34.000Z

battlehack20/engine/__init__.py

cooljoseph1/battlehack20-minimal

3a1207b7eeb48123664d870706971907bbe8c101

[ "MIT" ]

null

battlehack20/engine/__init__.py

cooljoseph1/battlehack20-minimal

3a1207b7eeb48123664d870706971907bbe8c101

[ "MIT" ]

null

from .container import CodeContainer from .game import Game, GameConstants from .basicviewer import BasicViewer

28

37

0.848214

13

112

7.307692

0.538462

0

0.116071

112

3

38

37.333333

0.959596

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

21f9e26af5d975c9a2fcbd148cf8f461ec5ebcb9

76

py

Python

Scheduling and Launching/openme.py

Piraato/Learn-Python

ae33680b61bbf41f5c0c29c79544b54e59df80b2

[ "MIT" ]

null

Scheduling and Launching/openme.py

Piraato/Learn-Python

ae33680b61bbf41f5c0c29c79544b54e59df80b2

[ "MIT" ]

null

Scheduling and Launching/openme.py

Piraato/Learn-Python

ae33680b61bbf41f5c0c29c79544b54e59df80b2

[ "MIT" ]

null

print("Very well, you can run Python scripts from a Python script.") input()

38

68

0.75

13

76

4.384615

0.923077

0

0.144737

76

2

69

38

0.876923

0

0.766234

0

1

0

true

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

21fdc764a84fb352ca7b3148dd8aba7ab9037b6c

28,087

py

Python

Functions/SimulationType/DC.py

SunYongshuai/SunSpice

7f9368a7af1421a63b69dcce3decc6d06ff1ff6b

[ "Apache-2.0" ]

1

2018-12-10T06:06:54.000Z

Functions/SimulationType/DC.py

SunYongshuai/SunSpice

7f9368a7af1421a63b69dcce3decc6d06ff1ff6b

[ "Apache-2.0" ]

null

Functions/SimulationType/DC.py

SunYongshuai/SunSpice

7f9368a7af1421a63b69dcce3decc6d06ff1ff6b

[ "Apache-2.0" ]

null

#!/usr/bin/python3 # -*- encoding="UTF-8" -*- #Import Package import numpy as np from tkinter.messagebox import * import parameters from Functions.string2num import string2num def getOutTitleDC(): if len(parameters.listDCParam) == 1: paramName = parameters.listDCParam[0].paramName WriteString = str(paramName) + '\t' for index in parameters.NodesDict: if index == '0': pass else: WriteString = WriteString + 'v_' + index + '\t' #V -> Pluse -> SinV -> E -> F -> H -> L #Source Current for index in parameters.listDCV: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listPulseV: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listSinV: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listE: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listF: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listH: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listL: WriteString = WriteString + 'i_' + index.name + '\t' #Elem Current for index in parameters.listR: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listD: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listG: WriteString = WriteString + 'i_' + index.name + '\t' for index in parameters.listM: WriteString = WriteString + 'i_' + index.name + '\t' return WriteString def getOutDataDC(MatResult): WriteString = '' for node in parameters.NodesDict: if node != '0': WriteString = WriteString + str(MatResult[parameters.NodesDict.get(node)-1,0]) + '\t' for index in range(len(parameters.listDCV)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for index in range(len(parameters.listPulseV)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for index in range(len(parameters.listSinV)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for index in range(len(parameters.listE)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for index in range(len(parameters.listF)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for index in range(len(parameters.listH)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for index in range(len(parameters.listL)): #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * len(parameters.listH) + index - 1 WriteString = WriteString + str(MatResult[matAddr,0]) + '\t' for resistor in parameters.listR: port1 = parameters.NodesDict.get(resistor.port1) port2 = parameters.NodesDict.get(resistor.port2) Rvalue = string2num(resistor.value) if (port1 != 0) & (port2 != 0): R_V = MatResult[port1-1,0] - MatResult[port2-1,0] elif (port1 == 0) & (port2 != 0): R_V = -1 * MatResult[port2-1,0] elif (port1 != 0) & (port2 == 0): R_V = MatResult[port1-1,0] else: R_V = 0 WriteString = WriteString + str(R_V / Rvalue) + '\t' for diode in parameters.listD: port1 = parameters.NodesDict.get(diode.port1) port2 = parameters.NodesDict.get(diode.port2) if (port1 != 0) & (port2 != 0): D_V = MatResult[port1-1,0] - MatResult[port2-1,0] elif (port1 == 0) & (port2 != 0): D_V = -1 * MatResult[port2-1,0] elif (port1 != 0) & (port2 == 0): D_V = MatResult[port1-1,0] else: D_V = 0 D_I = diode.getI_V(D_V) WriteString = WriteString + str(D_I) + '\t' for MosFet in parameters.listM: pass for vccs_g in parameters.listG: ctlNodePos = parameters.NodesDict.get(vccs_g.ctlNodePos) ctlNodeNeg = parameters.NodesDict.get(vccs_g.ctlNodeNeg) if (ctlNodePos != 0) & (ctlNodeNeg != 0): C_V = MatResult[ctlNodePos-1,0] - MatResult[ctlNodeNeg-1,0] elif (port1 == 0) & (port2 != 0): C_V = -1 * MatResult[ctlNodeNeg-1,0] elif (port1 != 0) & (port2 == 0): C_V = MatResult[ctlNodePos,0] else: C_V = 0 vccs_I = vccs_g.getI(C_V) WriteString = WriteString + str(vccs_I) + '\t' return WriteString def DCSimulation(): if len(parameters.listDCParam) == 0: print("Warning: No DC Simulation Parameter!") print('') return elif len(parameters.listDCParam) == 1: print('Info: DC Simulation ...') ParamName = parameters.listDCParam[0].paramName print("Info: --Param:", ParamName) StartVal = parameters.listDCParam[0].paramValueStart StopVal = parameters.listDCParam[0].paramValueStop StepVal = parameters.listDCParam[0].paramValueStep #PiontNum = parameters.listDCParam[0].default_PointNum if ParamName in parameters.ParamDict: flagParam = True Value_Param = parameters.ParamDict.get(ParamName) #Store Origin Param Value else: parameters.ParamDict[ParamName] = StartVal flagParam = False Val_Temp = StartVal #Sweep Temp NodeNum = len(parameters.NodesDict) - 1 # Nodes but GND branchnum = len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * len(parameters.listH) + len(parameters.listL) #V -> Pluse -> SinV -> E -> F -> H -> L MatNum = NodeNum + branchnum MatStamps = np.mat(np.zeros((MatNum,MatNum))) MatRhs = np.mat(np.zeros((MatNum,1))) MatResult = np.mat(np.zeros((MatNum,1))) fileResult = open(parameters.NetlistPath+'.dc','w') fileResult.write('*\tDC Result\n') WriteString = getOutTitleDC() fileResult.write(WriteString + '\n') #for index in range(NodeNum): #No Load I of Voltage Source # MatResult[index,0] = parameters.opValue[index] InitFlag = True while Val_Temp <= StopVal: print(Val_Temp) parameters.ParamDict[ParamName] = Val_Temp if (len(parameters.listD) != 0) | (len(parameters.listM) != 0): #Unlinear Diode Devices if (len(parameters.listD)!=0): MarkPort = parameters.NodesDict.get(parameters.listD[0].port1) elif len(parameters.listM) != 0: MarkPort = parameters.NodesDict.get(parameters.listM[0].portD) else: print("Error: Logic Error!") #Wouldn't Here exit() lastVMarkPort = 1.8 #No Mater VMarkPort = 0.9 while abs(VMarkPort - lastVMarkPort) > 0.01: MatStamps = np.mat(np.zeros((MatNum,MatNum))) MatRhs = np.mat(np.zeros((MatNum,1))) for elem in parameters.listR: #Load R elem.loadMatResistor() for keyPoint in elem.StampMatDict: MatStamps[keyPoint.pointX,keyPoint.pointY] += elem.StampMatDict.get(keyPoint) for elem in parameters.listD: #load D port1 = parameters.NodesDict.get(elem.port1) port2 = parameters.NodesDict.get(elem.port2) if (port1 != 0) & (port2 != 0): ResultVd_temp = MatResult[port1-1,0] - MatResult[port2-1,0] elif port1 == 0: ResultVd_temp = -1 * MatResult[port2-1,0] elif port2 == 0: ResultVd_temp = MatResult[port1-1,0] else: ResultVd_temp = 0 elem.loadMatDiode(ResultVd_temp) for keyPoint in elem.StampMatDict: MatStamps[keyPoint.pointX,keyPoint.pointY] += elem.StampMatDict.get(keyPoint) for keyPoint in elem.RHSMatDict: MatRhs[keyPoint.pointX,keyPoint.pointY] += elem.RHSMatDict.get(keyPoint) for elem in range(len(parameters.listE)): #Load E #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + elem - 1 parameters.listE[elem].loadMatE(matAddr) for keyPoint in parameters.listE[elem].matStampsE: MatStamps[keyPoint.pointX,keyPoint.pointY] = parameters.listE[elem].matStampsE.get(keyPoint) for elem in range(len(parameters.listF)): #loadF #V -> Pluse -> SinV -> E -> F -> H -> L portCtlPos = parameters.NodesDict.get(parameters.listF[elem].ctlNodePos) portCtlNeg = parameters.NodesDict.get(parameters.listF[elem].ctlNodePos) matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + elem - 1 Vctl = MatResult[portCtlPos-1] - MatResult[portCtlNeg-1] parameters.listF[elem].loadMatF(matAddr,Vctl) for keyPoint in parameters.listF[elem].matStampsF: MatStamps[keyPoint.pointX,keyPoint.pointY] = parameters.listF[elem].matStampsF.get(keyPoint) for keyPoint in parameters.listF[elem].matStampsF: MatRhs[keyPoint.pointX,keyPoint.pointY] = parameters.listF[elem].matRhsF.get(keyPoint) for elem in parameters.listG: #loadG elem.loadMatG() for keyPoint in elem.matStampsG: MatStamps[keyPoint.pointX,keyPoint.pointY] += elem.matStampsG.get(keyPoint) for elem in range(len(parameters.listH)): #load H #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * elem - 1 portCtlPos = parameters.NodesDict.get(parameters.listH[elem].ctlNodePos) portCtlNeg = parameters.NodesDict.get(parameters.listH[elem].ctlNodePos) Vctl = MatResult[portCtlPos-1] - MatResult[portCtlNeg-1] parameters.listH[elem].loadMatH(matAddr,Vctl) MatRhs[matAddr+1] = string2num(parameters.listH[elem].transResValue) for keyPoint in parameters.listH[elem].matStampsH: MatStamps[keyPoint.pointX,keyPoint.pointY] = parameters.listH[elem].matStampsH.get(keyPoint) for elem in parameters.listDCI: #load DC Is elem.loadMatDCIs() for keyPoint in elem.RHSMatDict: MatRhs[keyPoint.pointX,keyPoint.pointY] += elem.RHSMatDict.get(keyPoint) for elem in range(len(parameters.listDCV)): #load DC Vs #V -> Pluse -> SinV -> E -> F -> H -> L VsDC = parameters.listDCV[elem] matAddr = len(parameters.NodesDict) + elem - 1 portPos = parameters.NodesDict.get(VsDC.portPos) portNeg = parameters.NodesDict.get(VsDC.portNeg) DCV_Value = string2num(VsDC.value) MatRhs[matAddr,0] = DCV_Value if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in range(len(parameters.listPulseV)): #load DC Pluse #V -> Pluse -> SinV -> E -> F -> H -> L VsPluseDC = parameters.listPulseV[elem] matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + elem - 1 portPos = parameters.NodesDict.get(VsPluseDC.portPos) portNeg = parameters.NodesDict.get(VsPluseDC.portNeg) Pluse_DCValue = VsPluseDC.getVoltage(0) MatRhs[matAddr,0] = Pluse_DCValue if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in range(len(parameters.listSinV)): #load DC sin Vs #V -> Pluse -> SinV -> E -> F -> H -> L VsSinDC = parameters.listSinV[elem] matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + elem - 1 portPos = parameters.NodesDict.get(VsSinDC.portPos) portNeg = parameters.NodesDict.get(VsSinDC.portNeg) Sin_DcValue = VsSinDC.getValue(0) MatRhs[matAddr,0] = Sin_DcValue if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in range(len(parameters.listL)): #Load L in DC simulation LTemp = parameters.listL[elem] #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * len(parameters.listH) + elem - 1 portPos = parameters.NodesDict.get(LTemp.port1) portNeg = parameters.NodesDict.get(LTemp,port2) if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in parameters.listM: portD = parameters.NodesDict.get(elem.portD) portG = parameters.NodesDict.get(elem.portG) portS = parameters.NodesDict.get(elem.portS) portB = parameters.NodesDict.get(elem.portB) if portD == 0: Vd = 0 else: Vd = MatResult[portD-1,0] if portG == 0: Vg = 0 else: Vg = MatResult[portG-1,0] if portS == 0: Vs = 0 else: Vs = MatResult[portS-1,0] if portB == 0: pass #Vb = 0 else: pass #Vb = MatResult[portB-1,0] Vds = Vd - Vs if(elem.MosType == 'pmos'): if Vd > Vs: Vgs = Vg-Vd else: Vgs = Vg-Vs elif(elem.MosType == 'nmos'): if Vd < Vs: Vgs = Vg-Vd else: Vgs = Vg-Vs if(InitFlag): if(elem.MosType == 'pmos'): #Vds = -1.3 Vgs = -1.3 elif (elem.MosType == 'nmos'): #Vds = 0.6 Vgs = 0.5 else: pass Ids = elem.getIds(vgs=Vgs,vds=Vds) Gm = elem.getGm(vds=Vds,vgs=Vgs) Gds = elem.getGds(vds=Vds,vgs=Vgs) if portD != 0: MatRhs[portD-1,0] -= Ids MatStamps[portD-1,portD-1] += Gds if portS != 0: MatRhs[portS-1,0] += Ids MatStamps[portS-1,portS-1] += (Gds + Gm) if (portD!=0) & (portS!=0): MatStamps[portD-1,portS-1] -= (Gds + Gm) MatStamps[portS-1,portD-1] -= Gds if (portD!=0) & (portG!=0): MatStamps[portD-1,portG-1] += Gm if (portS!=0) & (portG!=0): MatStamps[portS-1,portG-1] -= Gm InitFlag = False MatResult = np.linalg.solve(MatStamps,MatRhs) #Result lastVMarkPort = VMarkPort VMarkPort = MatResult[MarkPort-1,0] else: MatStamps = np.mat(np.zeros((MatNum,MatNum))) MatRhs = np.mat(np.zeros((MatNum,1))) for elem in parameters.listR: #Load R elem.loadMatResistor() for keyPoint in elem.StampMatDict: MatStamps[keyPoint.pointX,keyPoint.pointY] += elem.StampMatDict.get(keyPoint) for elem in range(len(parameters.listE)): #Load E #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + elem - 1 parameters.listE[elem].loadMatE(matAddr) for keyPoint in parameters.listE[elem].matStampsE: MatStamps[keyPoint.pointX,keyPoint.pointY] = parameters.listE[elem].matStampsE.get(keyPoint) for elem in range(len(parameters.listF)): #loadF #V -> Pluse -> SinV -> E -> F -> H -> L portCtlPos = parameters.NodesDict.get(parameters.listF[elem].ctlNodePos) portCtlNeg = parameters.NodesDict.get(parameters.listF[elem].ctlNodePos) matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + elem - 1 Vctl = MatResult[portCtlPos-1] - MatResult[portCtlNeg-1] parameters.listF[elem].loadMatF(matAddr,Vctl) for keyPoint in parameters.listF[elem].matStampsF: MatStamps[keyPoint.pointX,keyPoint.pointY] = parameters.listF[elem].matStampsF.get(keyPoint) for keyPoint in parameters.listF[elem].matStampsF: MatRhs[keyPoint.pointX,keyPoint.pointY] = parameters.listF[elem].matRhsF.get(keyPoint) for elem in parameters.listG: #loadG elem.loadMatG() for keyPoint in elem.matStampsG: MatStamps[keyPoint.pointX,keyPoint.pointY] += elem.matStampsG.get(keyPoint) for elem in range(len(parameters.listH)): #load H #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * elem - 1 portCtlPos = parameters.NodesDict.get(parameters.listH[elem].ctlNodePos) portCtlNeg = parameters.NodesDict.get(parameters.listH[elem].ctlNodePos) Vctl = MatResult[portCtlPos-1] - MatResult[portCtlNeg-1] parameters.listH[elem].loadMatH(matAddr,Vctl) MatRhs[matAddr+1] = string2num(parameters.listH[elem].transResValue) for keyPoint in parameters.listH[elem].matStampsH: MatStamps[keyPoint.pointX,keyPoint.pointY] = parameters.listH[elem].matStampsH.get(keyPoint) for elem in parameters.listDCI: #load DC Is elem.loadMatDCIs() for keyPoint in elem.RHSMatDict: MatRhs[keyPoint.pointX,keyPoint.pointY] += elem.RHSMatDict.get(keyPoint) for elem in range(len(parameters.listDCV)): #load DC Vs #V -> Pluse -> SinV -> E -> F -> H -> L VsDC = parameters.listDCV[elem] matAddr = len(parameters.NodesDict) + elem - 1 portPos = parameters.NodesDict.get(VsDC.portPos) portNeg = parameters.NodesDict.get(VsDC.portNeg) DCV_Value = string2num(VsDC.value) MatRhs[matAddr,0] = DCV_Value if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in range(len(parameters.listPulseV)): #load DC Pluse #V -> Pluse -> SinV -> E -> F -> H -> L VsPluseDC = parameters.listPulseV[elem] matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + elem - 1 portPos = parameters.NodesDict.get(VsPluseDC.portPos) portNeg = parameters.NodesDict.get(VsPluseDC.portNeg) Pluse_DCValue = VsPluseDC.getVoltage(0) MatRhs[matAddr,0] = Pluse_DCValue if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in range(len(parameters.listSinV)): #load DC sin Vs #V -> Pluse -> SinV -> E -> F -> H -> L VsSinDC = parameters.listSinV[elem] matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + elem - 1 portPos = parameters.NodesDict.get(VsSinDC.portPos) portNeg = parameters.NodesDict.get(VsSinDC.portNeg) Sin_DcValue = VsSinDC.getValue(0) MatRhs[matAddr,0] = Sin_DcValue if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 for elem in range(len(parameters.listL)): #Load L in DC simulation LTemp = parameters.listL[elem] #V -> Pluse -> SinV -> E -> F -> H -> L matAddr = len(parameters.NodesDict) + len(parameters.listDCV) + len(parameters.listPulseV) + len(parameters.listSinV) + len(parameters.listE) + len(parameters.listF) + 2 * len(parameters.listH) + elem - 1 portPos = parameters.NodesDict.get(LTemp.port1) portNeg = parameters.NodesDict.get(LTemp.port2) if portPos != 0: MatStamps[matAddr,portPos-1] = 1 MatStamps[portPos-1,matAddr] = 1 if portNeg != 0: MatStamps[matAddr,portNeg-1] = -1 MatStamps[portNeg-1,matAddr] = -1 MatResult = np.linalg.solve(MatStamps,MatRhs) #Result WriteString = str(Val_Temp) + '\t' WriteString = WriteString + getOutDataDC(MatResult) fileResult.write(WriteString + '\n') Val_Temp = Val_Temp + StepVal if flagParam: parameters.ParamDict[ParamName] = Value_Param fileResult.close() print('Info: End DC Simulation ...') elif len(parameters.listDCParam) == 2: print("Info: SWEEP:",parameters.listDCParam[0].paramName,parameters.listDCParam[1].paramName) else: print("Error: Error Expression of DC Simulation" ) showinfo('DC','DC Simulation End!')

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null

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5

df227861def510f0f5f06f374d8f1e4544483d6a

44

py

Python

redistrib/exceptions.py

sunyi00/redis-trib.py

6b25af25d691b7578cc4c683c044905401b3e870

[ "MIT" ]

null

redistrib/exceptions.py

sunyi00/redis-trib.py

6b25af25d691b7578cc4c683c044905401b3e870

[ "MIT" ]

null

redistrib/exceptions.py

sunyi00/redis-trib.py

6b25af25d691b7578cc4c683c044905401b3e870

[ "MIT" ]

1

2018-09-27T09:52:53.000Z

class RedisStatusError(Exception): pass

14.666667

34

0.772727

4

44

8.5

1

0

0.159091

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2

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0.918919

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1

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5

df2cb546e59d1e0f0b0e034c6d5c8d0552eb31b0

148

py

Python

FATS/__init__.py

cridonoso/FATS-slim

a79429d87bb74f430bcbf72a5b3cf1bfb12908c1

[ "MIT" ]

68

2015-07-08T06:39:53.000Z

2022-03-31T16:34:16.000Z

FATS/__init__.py

cridonoso/FATS-slim

a79429d87bb74f430bcbf72a5b3cf1bfb12908c1

[ "MIT" ]

7

2017-04-01T04:03:57.000Z

2020-02-27T02:50:21.000Z

FATS/__init__.py

cridonoso/FATS-slim

a79429d87bb74f430bcbf72a5b3cf1bfb12908c1

[ "MIT" ]

45

2015-08-06T20:11:05.000Z

2022-03-31T16:34:26.000Z

from .import_lightcurve import ReadLC_MACHO from .Feature import FeatureSpace from .alignLC import Align_LC from .PreprocessLC import Preprocess_LC

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df30c65c005e4996721841cf4d4cd23814b2376e

7,843

py

Python

tools/include_tracer.py

nagineni/chromium-crosswalk

5725642f1c67d0f97e8613ec1c3e8107ab53fdf8

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

2

2015-03-04T02:36:53.000Z

2016-06-25T11:22:17.000Z

tools/include_tracer.py

j4ckfrost/android_external_chromium_org

a1a3dad8b08d1fcf6b6b36c267158ed63217c780

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

tools/include_tracer.py

j4ckfrost/android_external_chromium_org

a1a3dad8b08d1fcf6b6b36c267158ed63217c780

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

4

2015-02-09T08:49:30.000Z

2017-08-26T02:03:34.000Z

#!/usr/bin/env python # Copyright (c) 2011 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # based on an almost identical script by: jyrki@google.com (Jyrki Alakuijala) """Prints out include dependencies in chrome. Since it ignores defines, it gives just a rough estimation of file size. Usage: tools/include_tracer.py chrome/browser/ui/browser.h """ import os import sys # Created by copying the command line for prerender_browsertest.cc, replacing # spaces with newlines, and dropping everything except -F and -I switches. # TODO(port): Add windows, linux directories. INCLUDE_PATHS = [ '', 'gpu', 'skia/config', 'skia/ext', 'testing/gmock/include', 'testing/gtest/include', 'third_party/GTM', 'third_party/WebKit/Source', 'third_party/WebKit/Source/wtf', 'third_party/WebKit/Source/core', 'third_party/WebKit/Source/core/accessibility', 'third_party/WebKit/Source/core/accessibility/chromium', 'third_party/WebKit/Source/core/bindings', 'third_party/WebKit/Source/core/bindings/generic', 'third_party/WebKit/Source/core/bindings/v8', 'third_party/WebKit/Source/core/bindings/v8/custom', 'third_party/WebKit/Source/core/bindings/v8/specialization', 'third_party/WebKit/Source/core/bridge', 'third_party/WebKit/Source/core/bridge/jni', 'third_party/WebKit/Source/core/bridge/jni/v8', 'third_party/WebKit/Source/core/css', 'third_party/WebKit/Source/core/dom', 'third_party/WebKit/Source/core/dom/default', 'third_party/WebKit/Source/core/editing', 'third_party/WebKit/Source/core/fileapi', 'third_party/WebKit/Source/core/history', 'third_party/WebKit/Source/core/html', 'third_party/WebKit/Source/core/html/canvas', 'third_party/WebKit/Source/core/html/parser', 'third_party/WebKit/Source/core/html/shadow', 'third_party/WebKit/Source/core/inspector', 'third_party/WebKit/Source/core/loader', 'third_party/WebKit/Source/core/loader/appcache', 'third_party/WebKit/Source/core/loader/archive', 'third_party/WebKit/Source/core/loader/cache', 'third_party/WebKit/Source/core/loader/icon', 'third_party/WebKit/Source/core/mathml', 'third_party/WebKit/Source/core/notifications', 'third_party/WebKit/Source/core/page', 'third_party/WebKit/Source/core/page/animation', 'third_party/WebKit/Source/core/page/chromium', 'third_party/WebKit/Source/core/platform', 'third_party/WebKit/Source/core/platform/animation', 'third_party/WebKit/Source/core/platform/audio', 'third_party/WebKit/Source/core/platform/audio/chromium', 'third_party/WebKit/Source/core/platform/audio/mac', 'third_party/WebKit/Source/core/platform/chromium', 'third_party/WebKit/Source/core/platform/cocoa', 'third_party/WebKit/Source/core/platform/graphics', 'third_party/WebKit/Source/core/platform/graphics/cg', 'third_party/WebKit/Source/core/platform/graphics/chromium', 'third_party/WebKit/Source/core/platform/graphics/cocoa', 'third_party/WebKit/Source/core/platform/graphics/filters', 'third_party/WebKit/Source/core/platform/graphics/gpu', 'third_party/WebKit/Source/core/platform/graphics/mac', 'third_party/WebKit/Source/core/platform/graphics/opentype', 'third_party/WebKit/Source/core/platform/graphics/skia', 'third_party/WebKit/Source/core/platform/graphics/transforms', 'third_party/WebKit/Source/core/platform/image-decoders', 'third_party/WebKit/Source/core/platform/image-decoders/bmp', 'third_party/WebKit/Source/core/platform/image-decoders/gif', 'third_party/WebKit/Source/core/platform/image-decoders/ico', 'third_party/WebKit/Source/core/platform/image-decoders/jpeg', 'third_party/WebKit/Source/core/platform/image-decoders/png', 'third_party/WebKit/Source/core/platform/image-decoders/skia', 'third_party/WebKit/Source/core/platform/image-decoders/webp', 'third_party/WebKit/Source/core/platform/image-decoders/xbm', 'third_party/WebKit/Source/core/platform/image-encoders/skia', 'third_party/WebKit/Source/core/platform/mac', 'third_party/WebKit/Source/core/platform/mock', 'third_party/WebKit/Source/core/platform/network', 'third_party/WebKit/Source/core/platform/network/chromium', 'third_party/WebKit/Source/core/platform/sql', 'third_party/WebKit/Source/core/platform/text', 'third_party/WebKit/Source/core/platform/text/mac', 'third_party/WebKit/Source/core/platform/text/transcoder', 'third_party/WebKit/Source/core/plugins', 'third_party/WebKit/Source/core/plugins/chromium', 'third_party/WebKit/Source/core/rendering', 'third_party/WebKit/Source/core/rendering/style', 'third_party/WebKit/Source/core/rendering/svg', 'third_party/WebKit/Source/core/storage', 'third_party/WebKit/Source/core/storage/chromium', 'third_party/WebKit/Source/core/svg', 'third_party/WebKit/Source/core/svg/animation', 'third_party/WebKit/Source/core/svg/graphics', 'third_party/WebKit/Source/core/svg/graphics/filters', 'third_party/WebKit/Source/core/svg/properties', 'third_party/WebKit/Source/core/webaudio', 'third_party/WebKit/Source/core/websockets', 'third_party/WebKit/Source/core/workers', 'third_party/WebKit/Source/core/xml', 'third_party/WebKit/Source/public', 'third_party/WebKit/Source/web', 'third_party/cld', 'third_party/icu/public/common', 'third_party/icu/public/i18n', 'third_party/npapi', 'third_party/npapi/bindings', 'third_party/protobuf', 'third_party/protobuf/src', 'third_party/skia/gpu/include', 'third_party/skia/include/config', 'third_party/skia/include/core', 'third_party/skia/include/effects', 'third_party/skia/include/gpu', 'third_party/skia/include/pdf', 'third_party/skia/include/ports', 'v8/include', 'xcodebuild/Debug/include', 'xcodebuild/DerivedSources/Debug/chrome', 'xcodebuild/DerivedSources/Debug/policy', 'xcodebuild/DerivedSources/Debug/protoc_out', 'xcodebuild/DerivedSources/Debug/webkit', 'xcodebuild/DerivedSources/Debug/webkit/bindings', ] def Walk(seen, filename, parent, indent): """Returns the size of |filename| plus the size of all files included by |filename| and prints the include tree of |filename| to stdout. Every file is visited at most once. """ total_bytes = 0 # .proto(devel) filename translation if filename.endswith('.pb.h'): basename = filename[:-5] if os.path.exists(basename + '.proto'): filename = basename + '.proto' else: print 'could not find ', filename # Show and count files only once. if filename in seen: return total_bytes seen.add(filename) # Display the paths. print ' ' * indent + filename # Skip system includes. if filename[0] == '<': return total_bytes # Find file in all include paths. resolved_filename = filename for root in INCLUDE_PATHS + [os.path.dirname(parent)]: if os.path.exists(os.path.join(root, filename)): resolved_filename = os.path.join(root, filename) break # Recurse. if os.path.exists(resolved_filename): lines = open(resolved_filename).readlines() else: print ' ' * (indent + 2) + "-- not found" lines = [] for line in lines: line = line.strip() if line.startswith('#include "'): total_bytes += Walk( seen, line.split('"')[1], resolved_filename, indent + 2) elif line.startswith('#include '): include = '<' + line.split('<')[1].split('>')[0] + '>' total_bytes += Walk( seen, include, resolved_filename, indent + 2) elif line.startswith('import '): total_bytes += Walk( seen, line.split('"')[1], resolved_filename, indent + 2) return total_bytes + len("".join(lines)) def main(): bytes = Walk(set(), sys.argv[1], '', 0) print print float(bytes) / (1 << 20), "megabytes of chrome source" if __name__ == '__main__': sys.exit(main())

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df5093399be491b1e4faa393720b9b653870b11a

91

py

Python

powerspot/__init__.py

theolamayo/spotify-scripts

d464e7ab631d1dd46957396d4a8802fe8482bbca

[ "MIT" ]

1

2020-11-23T22:45:50.000Z

powerspot/__init__.py

theolamayo/spotify-scripts

d464e7ab631d1dd46957396d4a8802fe8482bbca

[ "MIT" ]

null

powerspot/__init__.py

theolamayo/spotify-scripts

d464e7ab631d1dd46957396d4a8802fe8482bbca

[ "MIT" ]

null

from . import io, operations, ui __version__ = "0.2" __all__ = ["io", "operations", "ui"]

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null

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0

5

df66ab464b13a513e66e9302a7958b1b756ed3c8

1,627

py

Python

src/spotify/migrations/0002_auto_20210413_1733.py

rryanburton/kwmgt

0e8f9657d48ed5b9021d6316caa55c982f9e2800

[ "MIT" ]

null

src/spotify/migrations/0002_auto_20210413_1733.py

rryanburton/kwmgt

0e8f9657d48ed5b9021d6316caa55c982f9e2800

[ "MIT" ]

null

src/spotify/migrations/0002_auto_20210413_1733.py

rryanburton/kwmgt

0e8f9657d48ed5b9021d6316caa55c982f9e2800

[ "MIT" ]

null

# Generated by Django 3.2 on 2021-04-13 17:33 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('spotify', '0001_initial'), ] operations = [ migrations.AlterField( model_name='artist', name='external_urls', field=models.URLField(null=True), ), migrations.AlterField( model_name='artist', name='followers', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='artist', name='genres', field=models.CharField(max_length=255, null=True), ), migrations.AlterField( model_name='artist', name='href', field=models.URLField(null=True), ), migrations.AlterField( model_name='artist', name='images', field=models.JSONField(null=True), ), migrations.AlterField( model_name='artist', name='popularity', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='artist', name='spotify_id', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='artist', name='type', field=models.CharField(max_length=255, null=True), ), migrations.AlterField( model_name='artist', name='uri', field=models.CharField(max_length=255, null=True), ), ]

27.576271

62

0.531039

145

1,627

5.855172

0.324138

0.212014

0.265018

0.30742

0.737338

0.691402

0.588928

0

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0.350338

1,627

58

63

28.051724

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0

null

1

0

1

0

1

0

null

0

5

df753d701a9c63bb526e1e2a53b201e6a617af51

334

py

Python

server/app/services/devices/views/__init__.py

goodfree/ActorCloud

e8db470830ea6f6f208ad43c2e56a2e8976bc468

[ "Apache-2.0" ]

173

2019-06-10T07:14:49.000Z

2022-03-31T08:42:36.000Z

server/app/services/devices/views/__init__.py

zlyz12345/ActorCloud

9c34b371c23464981323ef9865d9913bde1fe09c

[ "Apache-2.0" ]

27

2019-06-12T08:25:29.000Z

2022-02-26T11:37:15.000Z

server/app/services/devices/views/__init__.py

zlyz12345/ActorCloud

9c34b371c23464981323ef9865d9913bde1fe09c

[ "Apache-2.0" ]

67

2019-06-10T08:40:05.000Z

2022-03-09T03:43:56.000Z

from flask import Blueprint bp = Blueprint('devices', __name__) from . import emqx # noqa: E402 from . import devices # noqa: E402 from . import select_options # noqa: E402 from . import groups # noqa: E402 from . import security # noqa: E402 __all__ = [ 'bp', 'emqx', 'devices', 'groups', 'security', 'select_options' ]

20.875

67

0.679641

42

334

5.166667

0.357143

0.230415

0.221198

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0

0.05597

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334

15

68

22.266667

0.753731

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0

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0

1

0

false

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0.6

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0

null

1

0

null

0

1

0

1

0

5

df7fa36afb82dd6a775f3e50e8df92a47b653553

236

py

Python

googlesearchpy/utils.py

meads2/googlesearch

63e6a5afd7f7956a78de5b1543489acbd5de428a

[ "MIT" ]

null

googlesearchpy/utils.py

meads2/googlesearch

63e6a5afd7f7956a78de5b1543489acbd5de428a

[ "MIT" ]

null

googlesearchpy/utils.py

meads2/googlesearch

63e6a5afd7f7956a78de5b1543489acbd5de428a

[ "MIT" ]

null

import pandas from uuid import uuid4 import requests import boto3 def download_file(file_url): ''' ''' pass def upload_file(file, dest): ''' ''' pass def create_file_name(filename): ''' ''' pass

10.727273

31

0.597458

28

236

4.857143

0.607143

0.117647

0

0.011834

0.283898

236

21

32

11.238095

0.792899

0

0.3

0

1

0.3

false

0.3

0.4

0

0.7

0

1

0

null

0

null

0

1

0

1

0

1

0

5

df86d5c6b4b089e29b6cb8ffc873290fe6e91206

184

py

Python

script/idp_testdrv.py

skanct/pysaml2

0c1e26a6dd8759962857a30ebd67f63fe9e881ee

[ "Apache-2.0" ]

249

2018-03-01T09:47:04.000Z

2022-03-26T04:51:26.000Z

desktop/core/ext-py/pysaml2-4.4.0/script/idp_testdrv.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

416

2018-02-21T15:18:35.000Z

2022-03-04T16:59:36.000Z

desktop/core/ext-py/pysaml2-4.4.0/script/idp_testdrv.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

203

2018-02-21T13:53:12.000Z

2022-03-08T22:22:17.000Z

#!/usr/bin/env python __author__ = 'rohe0002' #from idp_test import saml2base from idp_test import SAML2client from idp_test.check import factory cli = SAML2client(factory) cli.run()

20.444444

34

0.793478

27

184

5.148148

0.592593

0.151079

0.23741

0.244604

0

0.04321

0.119565

184

9

35

20.444444

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false

0

0.4

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null

0

1

0

1

0

null

0

1

0

5

df95e33af5973f76af473d1aa018e47f13e911d4

4,930

py

Python

src/ctc/rpc/rpc_executors_async/rpc_state_executors_async.py

fei-protocol/checkthechain

ec838f3d0d44af228f45394d9ba8d8eb7f677520

[ "MIT" ]

94

2022-02-15T19:34:49.000Z

2022-03-26T19:26:22.000Z

src/ctc/rpc/rpc_executors_async/rpc_state_executors_async.py

fei-protocol/checkthechain

ec838f3d0d44af228f45394d9ba8d8eb7f677520

[ "MIT" ]

7

2022-03-03T02:58:47.000Z

2022-03-11T18:41:05.000Z

src/ctc/rpc/rpc_executors_async/rpc_state_executors_async.py

fei-protocol/checkthechain

ec838f3d0d44af228f45394d9ba8d8eb7f677520

[ "MIT" ]

7

2022-02-15T17:53:07.000Z

2022-03-17T19:14:17.000Z

from __future__ import annotations import typing from ctc import evm from ctc import spec from .. import rpc_constructors from .. import rpc_digestors from .. import rpc_request async def async_eth_call( to_address: spec.Address, from_address: spec.BinaryData | None = None, gas: spec.BinaryData | None = None, gas_price: spec.BinaryData | None = None, value_sent: spec.BinaryData | None = None, block_number: spec.BlockNumberReference | None = None, call_data: spec.BinaryData | None = None, function_parameters: typing.Sequence[typing.Any] | typing.Mapping[str, typing.Any] | None = None, function_abi: spec.FunctionABI | None = None, provider: spec.ProviderSpec = None, decode_response: bool = True, delist_single_outputs: bool = True, package_named_outputs: bool = False, fill_empty: bool = False, empty_token: typing.Any = None, **function_abi_query: typing.Any, ) -> spec.RpcSingularResponse: if function_abi is None: if call_data is None or decode_response: function_abi = await evm.async_get_function_abi( contract_address=to_address, **function_abi_query ) # construct request request = rpc_constructors.construct_eth_call( to_address=to_address, from_address=from_address, gas=gas, gas_price=gas_price, value_sent=value_sent, block_number=block_number, call_data=call_data, function_parameters=function_parameters, function_abi=function_abi, ) # make request response = await rpc_request.async_send(request, provider=provider) # digest response return rpc_digestors.digest_eth_call( response, function_abi=function_abi, decode_response=decode_response, delist_single_outputs=delist_single_outputs, package_named_outputs=package_named_outputs, fill_empty=fill_empty, empty_token=empty_token, ) async def async_eth_estimate_gas( to_address: spec.Address, from_address: spec.BinaryData | None = None, gas: spec.BinaryData | None = None, gas_price: spec.BinaryData | None = None, value_sent: spec.BinaryData | None = None, call_data: spec.BinaryData | None = None, function_parameters: typing.Sequence[typing.Any] | typing.Mapping[str, typing.Any] | None = None, function_abi: spec.FunctionABI | None = None, provider: spec.ProviderSpec = None, decode_response: bool = True, **function_abi_query: typing.Any, ) -> spec.RpcSingularResponse: if function_abi is None: function_abi = await evm.async_get_function_abi( contract_address=to_address, **function_abi_query ) request = rpc_constructors.construct_eth_estimate_gas( to_address=to_address, from_address=from_address, gas=gas, gas_price=gas_price, value_sent=value_sent, call_data=call_data, function_parameters=function_parameters, function_abi=function_abi, ) response = await rpc_request.async_send(request, provider=provider) return rpc_digestors.digest_eth_estimate_gas( response, decode_response=decode_response, ) async def async_eth_get_balance( address: spec.Address, block_number: spec.BlockNumberReference | None = None, provider: spec.ProviderSpec = None, decode_response: bool = True, ) -> spec.RpcSingularResponse: if block_number is None: block_number = 'latest' request = rpc_constructors.construct_eth_get_balance( address=address, block_number=block_number, ) response = await rpc_request.async_send(request, provider=provider) return rpc_digestors.digest_eth_get_balance( response, decode_response=decode_response, ) async def async_eth_get_storage_at( address: spec.Address, position: spec.BinaryData, block_number: spec.BlockNumberReference | None = None, provider: spec.ProviderSpec = None, ) -> spec.RpcSingularResponse: if block_number is None: block_number = 'latest' request = rpc_constructors.construct_eth_get_storage_at( address=address, position=position, block_number=block_number, ) response = await rpc_request.async_send(request, provider=provider) return rpc_digestors.digest_eth_get_storage_at(response) async def async_eth_get_code( address: spec.Address, block_number: spec.BlockNumberReference | None = None, provider: spec.ProviderSpec = None, ) -> spec.RpcSingularResponse: if block_number is None: block_number = 'latest' request = rpc_constructors.construct_eth_get_code( address=address, block_number=block_number, ) response = await rpc_request.async_send(request, provider=provider) return rpc_digestors.digest_eth_get_code(response)

31.806452

71

0.704665

585

4,930

5.622222

0.121368

0.043782

0.054728

0.06689

0.799331

0.753116

0.734266

0.717543

0

0.218256

4,930

154

72

32.012987

0.853399

0.009331

0

0.674242

0

0.003689

0

1

0

false

0

0.05303

0

0.090909

0

null

0

1

0

null

0

5

10f0ab8a942c51c67acca8df3fafde0f77b99972

86,336

py

Python

ChatBot/chatbot_search/chatbot_sentence_vec_by_bert.py

joleo/nlp_xiaojiang

6de490e1e6ef3213b288f447f0a222c2a16dd77b

[ "MIT" ]

null

ChatBot/chatbot_search/chatbot_sentence_vec_by_bert.py

joleo/nlp_xiaojiang

6de490e1e6ef3213b288f447f0a222c2a16dd77b

[ "MIT" ]

null

ChatBot/chatbot_search/chatbot_sentence_vec_by_bert.py

joleo/nlp_xiaojiang

6de490e1e6ef3213b288f447f0a222c2a16dd77b

[ "MIT" ]

2

2021-01-18T10:07:20.000Z

2022-01-12T10:09:47.000Z

# -*- coding: UTF-8 -*- # !/usr/bin/python # @time :2019/5/12 13:16 # @author :Mo # @function :chatbot based search, encode sentence_vec by bert def chatbot_sentence_vec_by_bert_own(): """bert encode is writted by my own""" from FeatureProject.bert.extract_keras_bert_feature import KerasBertVector from conf.path_config import chicken_and_gossip_path from utils.text_tools import txtRead import numpy as np # 读取数据和一些参数，这里只取了100个标准问题 topk = 5 matrix_ques_save_path = "doc_vecs_chicken_and_gossip" questions = txtRead(chicken_and_gossip_path, encodeType='utf-8') ques = [ques.split('\t')[0] for ques in questions][0:100] # 生成标准问题的bert句向量 bert_vector = KerasBertVector() ques_basic_vecs = bert_vector.bert_encode(ques) # 线上你可以生成，直接调用，然后直接load就好 np.savetxt(matrix_ques_save_path, ques_basic_vecs) # matrix_ques = np.loadtxt(matrix_ques_save_path) query_bert_vec = bert_vector.bert_encode(["小姜机器人是什么"])[0] query_bert_vec = np.array(query_bert_vec) print(query_bert_vec) # 矩阵点乘，很快的，你也可以用annoy等工具，计算就更加快了 qq_score = np.sum(query_bert_vec * ques_basic_vecs, axis=1) / np.linalg.norm(ques_basic_vecs, axis=1) topk_idx = np.argsort(qq_score)[::-1][:topk] for idx in topk_idx: print('小姜机器人回答检索： %s\t%s' % (qq_score[idx], questions[idx])) while True: print("你的问题:") query = input() query_bert_vec = bert_vector.bert_encode([query])[0] query_bert_vec = np.array(query_bert_vec) # 矩阵点乘，很快的，你也可以用annoy等工具，计算就更加快了 qq_score = np.sum(query_bert_vec * ques_basic_vecs, axis=1) / np.linalg.norm(ques_basic_vecs, axis=1) topk_idx = np.argsort(qq_score)[::-1][:topk] for idx in topk_idx: print('小姜机器人回答检索： %s\t%s' % (qq_score[idx], questions[idx])) def chatbot_sentence_vec_by_bert_bertasserver(): """bert encode is used bert as server""" from conf.path_config import chicken_and_gossip_path from bert_serving.client import BertClient from utils.text_tools import txtRead import numpy as np topk = 5 matrix_ques_save_path = "doc_vecs_chicken_and_gossip" questions = txtRead(chicken_and_gossip_path, encodeType='utf-8') ques = [ques.split('\t')[0] for ques in questions][0:100] bc = BertClient(ip = 'localhost') doc_vecs = bc.encode(ques) np.savetxt(matrix_ques_save_path, doc_vecs) # matrix_ques = np.loadtxt(matrix_ques_save_path) while True: query = input('你问: ') query_vec = bc.encode([query])[0] query_bert_vec = np.array(query_bert_vec) # compute normalized dot product as score score = np.sum(query_vec * doc_vecs, axis=1) / np.linalg.norm(doc_vecs, axis=1) topk_idx = np.argsort(score)[::-1][:topk] for idx in topk_idx: print('小姜机器人回答： %s\t%s' % (score[idx], questions[idx])) if __name__=="__main__": chatbot_sentence_vec_by_bert_own() # chatbot_sentence_vec_by_bert_bertasserver() # result # 小姜机器人是什么 # Tokens: ['[CLS]', '小', '姜', '机', '器', '人', '是', '什', '么', '[SEP]'] # (1, 32, 768) # [CLS] [768] [1.0393640995025635, -0.31394684314727783, -0.08567211031913757, -0.12281288206577301, 0.5685704946517944, -0.6734460592269897, 0.3936116099357605, -0.14657911658287048, -0.5451663732528687, 0.8552711009979248, 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928.344086

16,060

0.82553

8,444

86,336

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0.488039

0.001392

0.001856

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0

1

0

1

0

null

0

5

803ecddcb511e7194a77ad5b27290b4e5012e784

48

py

Python

change_case.py

mariongb81/TeamProject

c29c765ff8313563d17aea845caefc18631cafac

[ "MIT" ]

null

change_case.py

mariongb81/TeamProject

c29c765ff8313563d17aea845caefc18631cafac

[ "MIT" ]

4

2021-11-16T02:36:24.000Z

2021-11-26T03:33:57.000Z

change_case.py

mariongb81/TeamProject

c29c765ff8313563d17aea845caefc18631cafac

[ "MIT" ]

4

2021-11-16T01:02:42.000Z

2021-11-27T03:07:36.000Z

print( input("ingrese su cadena" ).swapcase())

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46

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48

2

47

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0.785714

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null

0

1

0

null

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1

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1

0

5

33da2612b90a61e970432c500d11f4363c18626f

30

py

Python

.history/ClassFiles/PythonModulesPackages/ImportingModules/Pychache/File1_20210107135307.py

minefarmer/Comprehensive-Python

f97b9b83ec328fc4e4815607e6a65de90bb8de66

[ "Unlicense" ]

null

.history/ClassFiles/PythonModulesPackages/ImportingModules/Pychache/File1_20210107135307.py

minefarmer/Comprehensive-Python

f97b9b83ec328fc4e4815607e6a65de90bb8de66

[ "Unlicense" ]

null

.history/ClassFiles/PythonModulesPackages/ImportingModules/Pychache/File1_20210107135307.py

minefarmer/Comprehensive-Python

f97b9b83ec328fc4e4815607e6a65de90bb8de66

[ "Unlicense" ]

null

print("Hello from file 1") pr

10

26

0.7

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33e09c1449da0336671f91f7a7e5ef0d6d953474

86

py

Python

testprojects/pants-plugins/src/python/test_pants_plugin/__init__.py

revl/pants

8ad83e4ca80c095d44efceafd8b41e575da39c65

[ "Apache-2.0" ]

1

2020-06-13T22:01:39.000Z

testprojects/pants-plugins/src/python/test_pants_plugin/__init__.py

revl/pants

8ad83e4ca80c095d44efceafd8b41e575da39c65

[ "Apache-2.0" ]

1

2018-09-04T17:37:34.000Z

2018-09-04T19:42:58.000Z

testprojects/pants-plugins/src/python/test_pants_plugin/__init__.py

revl/pants

8ad83e4ca80c095d44efceafd8b41e575da39c65

[ "Apache-2.0" ]

3

2020-06-30T08:28:13.000Z

2021-07-28T09:35:57.000Z

__import__("pkg_resources").declare_namespace(__name__) # type: ignore[attr-defined]

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0.802326

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null

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1

0

1

0

5

33e6c4a804a5c34f1f8e8f628f3414186d87ca4d

110

py

Python

import_csv_fix_field_limit/models.py

ShaheenHossain/itpp-labs-misc-addons13

bf62dc5bc1abdc18d78e9560a286babbe1d0e082

[ "MIT" ]

null

import_csv_fix_field_limit/models.py

ShaheenHossain/itpp-labs-misc-addons13

bf62dc5bc1abdc18d78e9560a286babbe1d0e082

[ "MIT" ]

null

import_csv_fix_field_limit/models.py

ShaheenHossain/itpp-labs-misc-addons13

bf62dc5bc1abdc18d78e9560a286babbe1d0e082

[ "MIT" ]

3

2020-08-25T01:57:59.000Z

2021-09-11T15:38:02.000Z

# -*- coding: utf-8 -*- import sys from odoo.tools import convert convert.csv.field_size_limit(sys.maxsize)

15.714286

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110

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null

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5

d50db675488cc0120d66ef219cb9713d49a77950

126

py

Python

core/models/py_utils/__init__.py

OctopusRice/LineNet

a03ce3bf741dc497ae6bc680cd779128bda1a34b

[ "BSD-3-Clause" ]

1

2020-12-03T03:07:15.000Z

core/models/py_utils/__init__.py

OctopusRice/LineNet

a03ce3bf741dc497ae6bc680cd779128bda1a34b

[ "BSD-3-Clause" ]

1

2019-08-23T09:27:33.000Z

2019-08-29T01:46:12.000Z

core/models/py_utils/__init__.py

OctopusRice/LineNet

a03ce3bf741dc497ae6bc680cd779128bda1a34b

[ "BSD-3-Clause" ]

null

from ._cpools import TopPool, BottomPool, LeftPool, RightPool from ._cpools_lines import HorizontalLinePool, VerticalLinePool

42

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13

126

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126

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null

0

1

0

1

0

1

0

5

1d5e45170b1659e845321f052e99691ec4fa47d1

94,637

py

Python

gameserver/tests.py

hammertoe/didactic-spork

8d02836f9d3a0d707eea22d480553a8fdc35a0df

[ "Apache-2.0" ]

null

gameserver/tests.py

hammertoe/didactic-spork

8d02836f9d3a0d707eea22d480553a8fdc35a0df

[ "Apache-2.0" ]

1

2017-02-14T12:00:14.000Z

gameserver/tests.py

hammertoe/didactic-spork

8d02836f9d3a0d707eea22d480553a8fdc35a0df

[ "Apache-2.0" ]

null

import unittest from datetime import datetime, timedelta import time import dateutil import mock import transaction import flask_testing from models import Base, Edge, Node, Player, Goal, Policy, Funding, Budget from network import Network from game import Game, get_game from utils import random from wallet import Wallet from main import app from settings import APP_VERSION from database import get_db import json def fake_get_random_goal(self): goals = tuple(self.get_goals()) if goals: return sorted(goals, key=lambda x: x.name)[0] def fake_get_n_policies(self, n=5): policies = list(self.get_policies()) if not policies: return [] return sorted(policies, key=lambda x: x.name)[:n] goal_patcher = mock.patch('gameserver.game.Game.get_random_goal', new=fake_get_random_goal) policy_patcher = mock.patch('gameserver.game.Game.get_n_policies', new=fake_get_n_policies) goal_patcher.start() policy_patcher.start() class ModelTestCase(unittest.TestCase): def setUp(self): pass def tearDown(self): pass class SimpleModelTests(ModelTestCase): def testNodeEdgeRelationship(self): n1 = Node.new('node 1') n2 = Node.new('node 2') e1 = Edge.new(n1, n2, 1.0) self.assertEqual(e1.higher_node, n1) self.assertEqual(e1.lower_node, n2) def testNodeEdgeBackRelationship(self): n1 = Node.new('node 1') n2 = Node.new('node 2') e1 = Edge.new(n1, n2, 1.0) self.assertEqual(n1.children, [n2,]) self.assertEqual(n2.parents, [n1,]) def testNodeSetBalance(self): n1 = Node.new('node 1', balance=1000) self.assertEqual(n1.balance, 1000.0) def setup_with_context_manager(testcase, cm): """Use a contextmanager to setUp a test case.""" val = cm.__enter__() testcase.addCleanup(cm.__exit__, None, None, None) return val class ControllerTestCase(ModelTestCase): def setUp(self): ModelTestCase.setUp(self) app.config['ZODB_STORAGE'] = 'memory://' app.config['TESTING'] = True setup_with_context_manager(self, app.test_request_context()) self.game = get_game() self.game.start(2017, 2025, 10, 12000000) test_client = self.game.add_client('tests') self.api_key = test_client.id self.client = app.test_client() def tearDown(self): db = get_db() del db['game'] def add_20_goals_and_policies(self): for x in range(20): id = "G{}".format(x) g = Goal(id=id) g.name = id self.game.network.goals[g.id] = g id = "P{}".format(x) p = Policy(id=id) p.name = id self.game.network.policies[p.id] = p class ViewTestCase(ControllerTestCase): pass class CoreGameTests(ControllerTestCase): def testRandomGoalIsRandom(self): self.add_20_goals_and_policies() g = self.game.get_random_goal() self.assertEqual(g.id, 'G0') goal_patcher.stop() g1 = self.game.get_random_goal() g2 = self.game.get_random_goal() g3 = self.game.get_random_goal() self.assertFalse(g1.id == g2.id == g3.id) goal_patcher.start() def testGetNPoliciesIsRandom(self): self.add_20_goals_and_policies() policies = self.game.get_n_policies() self.assertEqual([p.name for p in policies], [u'P0', u'P1', u'P10', u'P11', u'P12']) policy_patcher.stop() policies1 = [p.name for p in self.game.get_n_policies()] policies2 = [p.name for p in self.game.get_n_policies()] policies3 = [p.name for p in self.game.get_n_policies()] self.assertFalse(policies1 == policies2 == policies3) policy_patcher.start() def testAddPlayer(self): p1 = self.game.create_player('Matt') self.assertEqual(self.game.get_player(p1.id), p1) self.assertEqual(self.game.num_players, 1) p2 = self.game.create_player('Simon') self.assertEqual(self.game.get_player(p2.id), p2) self.assertEqual(self.game.num_players, 2) def testGameCreatePlayer(self): self.add_20_goals_and_policies() p = self.game.create_player('Matt') self.assertEqual(self.game.get_player(p.id), p) self.assertEqual(self.game.get_goal(p.goal_id).name, 'G0') policies = p.policies self.assertEqual(sorted([x for x in policies]), sorted([u'P0', u'P1', u'P10', u'P11', u'P12'])) def testGameClearPlayers(self): self.add_20_goals_and_policies() p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') self.assertEqual(len(self.game.network.players), 2) self.assertEqual(len(self.game.network.goals), 20) self.game.clear_players() self.assertEqual(len(self.game.network.players), 0) self.assertEqual(len(self.game.network.goals), 20) def testPlayerHasWallet(self): p = self.game.create_player('Matt') self.assertEqual(self.game.get_player(p.id), p) self.assertAlmostEqual(p.balance, self.game.settings.budget_per_cycle) def testPlayerSetBalance(self): p = self.game.create_player('Matt') p.balance = 5000 self.assertAlmostEqual(p.balance, 5000.0) def testAddPolicy(self): p = self.game.add_policy('Arms Embargo', leak=0.1) self.assertEqual(self.game.get_policy(p.id), p) self.assertEqual(self.game.get_policy(p.id).leak, 0.1) def testAddWalletToPolicy(self): po1 = self.game.add_policy('Arms Embargo', leak=0.1) p1 = self.game.create_player('Matt') w1 = Wallet([(p1.id, 100)]) po1.wallet = w1 self.assertIn(p1.id, w1.todict()) self.assertEqual(po1.wallet, w1) def testAddGoal(self): g = self.game.add_goal('World Peace', leak=0.5) self.assertEqual(self.game.get_goal(g.id), g) self.assertEqual(self.game.get_goal(g.id).leak, 0.5) def testGetRandomGoal(self): self.add_20_goals_and_policies() self.assertEqual(self.game.get_random_goal().name, 'G0') def testAddPlayerAndGoal(self): g1 = self.game.add_goal('World Peace') p1 = self.game.create_player('Matt', goal_id=g1.id) self.assertEqual(p1.goal_id, g1.id) self.assertIn(p1, self.game.get_players_for_goal(g1.id)) def testAddWalletToGoal(self): g = self.game.add_goal('World Peace') p1 = self.game.create_player('Matt') w1 = Wallet([(p1.id, 100.0)]) g.wallet = w1 self.assertEqual(g.wallet, w1) def testGetNPolicies(self): g1 = self.game.add_goal('A') self.add_20_goals_and_policies() policies = [u'P0', u'P1', u'P10', u'P11', u'P12'] self.assertEqual([x.name for x in self.game.get_n_policies()], policies) def testModifyPolicies(self): p1 = self.game.add_policy('Policy 1', leak=0.1) p2 = self.game.add_policy('Policy 2', leak=0.2) self.assertEqual(self.game.get_policy(p1.id).leak, 0.1) p1.leak = 0.3 self.assertEqual(self.game.get_policy(p1.id).leak, 0.3) self.assertEqual(self.game.get_policy(p2.id).leak, 0.2) def testChildParentRelationship(self): a = Node.new('A') b = Node.new('B') l = self.game.add_link(a, b, 1.0) self.assertIn(a, b.parents) self.assertIn(b, a.children) def testPlayerFundedPolicies(self): p1 = self.game.add_policy('Policy 1') p2 = self.game.add_policy('Policy 2') p3 = self.game.add_policy('Policy 3') p = self.game.create_player('Matt') self.game.set_policy_funding_for_player(p, [(p1.id,20), (p2.id,30), (p3.id, 0)]) self.assertEqual(sorted(p.policies), sorted([p1.id,p2.id,p3.id])) self.assertEqual(sorted(p.funded_policies), sorted([p1.id,p2.id])) def testSimpleNetwork(self): n1 = self.game.add_policy('Policy 1') n2 = self.game.add_goal('Goal 1') l1 = self.game.add_link(n1, n2, 0.5) self.assertEqual(self.game.get_link(l1.id), l1) self.assertIn(n2, n1.children) def testMultiLevelNetwork(self): n1 = self.game.add_policy('Policy 1') n2 = self.game.add_policy('Policy 2') n3 = self.game.add_goal('Goal 1') l1 = self.game.add_link(n1, n2, 0.5) l2 = self.game.add_link(n2, n3, 0.5) self.assertEqual(n3, n1.children[0].children[0]) def testAddWallets(self): n1 = self.game.add_policy('Policy 1') p1 = self.game.create_player('Matt') self.assertEqual(n1.balance, 0) w1 = Wallet([(p1.id, 5.0)]) self.assertEqual(n1.balance, 0) n1.wallet = w1 self.assertEqual(n1.balance, 5.0) w2 = Wallet([(p1.id, 10.0)]) n1.wallet &= w2 self.assertEqual(n1.balance, 15.0) def testNodeLeak100(self): n1 = self.game.add_policy('Policy 1', leak=1.0) p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') n1.wallet = Wallet([(p1.id, 5.0), (p2.id, 10.0),]) self.assertEqual(n1.balance, 15.0) n1.do_leak() self.assertEqual(n1.balance, 0.0) n1.do_leak() self.assertEqual(n1.balance, 0.0) def testNodeLeak0(self): n1 = self.game.add_policy('Policy 1', leak=0.0) p1 = self.game.create_player('Matt') n1.wallet = Wallet([(p1.id, 15.0)]) self.assertEqual(n1.balance, 15.0) n1.do_leak() self.assertEqual(n1.balance, 15.0) n1.do_leak() self.assertEqual(n1.balance, 15.0) def testNodeLeak20(self): n1 = self.game.add_policy('Policy 1', leak=0.2) p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') n1.wallet = Wallet([(p1.id, 5.0), (p2.id, 10.0),]) self.assertEqual(n1.balance, 15.0) n1.do_leak() self.assertAlmostEqual(n1.balance, 12.0, 5) n1.do_leak() self.assertAlmostEqual(n1.balance, 9.6, 5) # Check the individual wallets d = n1.wallet.todict() self.assertAlmostEqual(d[p1.id], 3.2, 5) self.assertAlmostEqual(d[p2.id], 6.4, 5) def testNodeLeakNegative20(self): n1 = self.game.add_policy('Policy 1', leak=0.2) g1 = self.game.add_goal('Goal 1', leak=0.2) p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') g1.wallet = Wallet([(p1.id, 5.0), (p2.id, 10.0),]) # add a negative impact edge l1 = self.game.add_link(n1, g1, -0.5) self.assertEqual(g1.balance, 15.0) g1.do_leak() self.assertAlmostEqual(g1.balance, 4.5) g1.do_leak() self.assertAlmostEqual(g1.balance, 1.35) # Check the individual wallets d = g1.wallet.todict() self.assertAlmostEqual(d[p1.id], 0.45, 5) self.assertAlmostEqual(d[p2.id], 0.9, 5) ### def testTransferWalletToWallet(self): p1 = self.game.create_player('Matt') w1 = Wallet([(p1.id, 100.0)]) w2 = Wallet([(p1.id, 20.0)]) self.assertAlmostEqual(w1.total, 100.0) self.assertAlmostEqual(w2.total, 20.0) w1.transfer(w2, 30.0) self.assertAlmostEqual(w1.total, 70.0) self.assertAlmostEqual(w2.total, 50.0) def testTransferToWalletInsufficientFunds(self): n1 = self.game.add_policy('Policy 1') p1 = self.game.create_player('Matt') n1.wallet = Wallet([(p1.id, 100.0)]) n2 = self.game.add_policy('Policy 2') self.assertAlmostEqual(n1.balance, 100.0) self.assertAlmostEqual(n2.balance, 0.0) with self.assertRaises(ValueError): n1.wallet.transfer(n2.wallet, 110.0) self.assertAlmostEqual(n1.wallet.total, 100.0) self.assertAlmostEqual(n2.wallet.total, 0.0) def testAllocateFunds(self): p1 = self.game.create_player('Matt', balance=1000) n1 = self.game.add_policy('Policy 1', leak=1.0) self.assertEqual(p1.balance, 1000.0) self.assertEqual(n1.balance, 0.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 1000.0) self.assertEqual(n1.balance, 0.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 100),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900.0) self.assertEqual(n1.balance, 100.0) def testAllocateDifferentFunds(self): p1 = self.game.create_player('Matt', balance=1000) n1 = self.game.add_policy('Policy 1', leak=1.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 60),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 940.0) self.assertEqual(n1.balance, 60.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 80),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 860.0) self.assertEqual(n1.balance, 140.0) def testDeleteFunds(self): p1 = self.game.create_player('Matt') p1.balance = 1000.0 n1 = self.game.add_policy('Policy 1', leak=1.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 100),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900.0) self.assertEqual(n1.balance, 100.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 0),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900.0) self.assertEqual(n1.balance, 100.0) # test that we keep the link even when funding stopped self.assertEqual(len(p1.policies), 1) def testGameTotalInflow(self): p1 = self.game.create_player('Matt') self.assertEqual(self.game.total_players_inflow, 1000) p2 = self.game.create_player('Simon') self.assertEqual(self.game.total_players_inflow, 2000) def testGameTotalActiveInflow(self): p1 = self.game.create_player('Matt') p1.unclaimed_budget = 1500000 self.assertEqual(self.game.total_active_players_inflow, 1000) p2 = self.game.create_player('Simon') self.assertEqual(self.game.total_active_players_inflow, 2000) p1.last_budget_claim = datetime.now()-timedelta(hours=6) self.assertEqual(self.game.total_active_players_inflow, 1000) p1.claim_budget() self.assertEqual(self.game.total_active_players_inflow, 2000) def testPlayerTotalFunding(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Policy 1', leak=1.0) po2 = self.game.add_policy('Policy 2', leak=1.0) po3 = self.game.add_policy('Policy 3', leak=1.0) self.game.set_policy_funding_for_player(p1, [(po1.id, 10), (po2.id, 20), (po3.id, 30)]) self.assertEqual(p1.total_funding, 60) self.game.set_policy_funding_for_player(p1, [(po1.id, 10), (po2.id, 20), (po3.id, 10)]) self.assertEqual(p1.total_funding, 40) self.game.set_policy_funding_for_player(p1, [(po1.id, 10), (po2.id, 0), (po3.id, 10)]) self.assertEqual(p1.total_funding, 20) def testPlayerMaxOutflow(self): p1 = self.game.create_player('Matt') self.assertEqual(p1.max_outflow, self.game.settings.max_spend_per_tick) def testPlayerExceedMaxOutflow(self): p1 = self.game.create_player('Matt', balance=1000, max_outflow=1000) po1 = self.game.add_policy('Policy 1', leak=1.0) self.game.set_policy_funding_for_player(p1, [(po1.id, 100),]) po2 = self.game.add_policy('Policy 2', leak=1.0) self.game.set_policy_funding_for_player(p1, [(po2.id, 200),]) po3 = self.game.add_policy('Policy 3', leak=1.0) self.game.set_policy_funding_for_player(p1, [(po1.id, 100), (po2.id, 200)]) with self.assertRaises(ValueError): self.game.set_policy_funding_for_player(p1, [(po1.id, 100), (po2.id, 200), (po3.id, 800)]) self.assertEqual(p1.total_funding, 300) self.game.set_policy_funding_for_player(p1, [(po1.id, 100), (po2.id, 200), (po3.id, 700)]) self.assertEqual(p1.total_funding, 1000) def testGoalActive(self): p1 = self.game.create_player('Player 1', balance=1000) po1 = self.game.add_policy('Policy 1') g1 = self.game.add_goal('Goal 1', activation=400) l1 = self.game.add_link(po1, g1, 200.0) p1.goal_id = g1.id self.game.set_policy_funding_for_player(p1, [(po1.id, 200.0),]) self.assertAlmostEqual(self.game.goal_funded_by_player(p1.id), 0.0) self.game.do_propogate_funds() self.assertAlmostEqual(p1.balance, 800) self.assertAlmostEqual(g1.balance, 200) self.assertAlmostEqual(self.game.goal_funded_by_player(p1.id), 200) self.assertFalse(g1.active) self.game.do_propogate_funds() self.assertTrue(g1.active) def testNodeActivationFromPlayer(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Policy 1', activation=0.2) self.assertFalse(po1.active) self.assertAlmostEqual(po1.active_level, 0) self.game.set_policy_funding_for_player(p1, [(po1.id, 200.0),]) self.game.do_propogate_funds() self.assertTrue(po1.active) def testNodeActivationFromNode(self): p1 = self.game.create_player('Matt', balance=10000) po1 = self.game.add_policy('Policy 1', activation=0.1) self.assertAlmostEqual(po1.active_level, 0) self.assertFalse(po1.active) po2 = self.game.add_policy('Policy 2', activation=0.2) l1 = self.game.add_link(po1, po2, 50.0) self.assertAlmostEqual(po1.active, 0.0) self.assertFalse(po1.active) self.game.set_policy_funding_for_player(p1, [(po1.id, 200.0),]) for x in range(5): self.game.do_propogate_funds() self.assertTrue(po1.active) self.assertAlmostEqual(po1.active_level, 0.2) self.assertAlmostEqual(po1.active_percent, 2.0) self.assertFalse(po2.active) self.game.set_policy_funding_for_player(p1, [(po1.id, 400.0),]) self.assertTrue(po1.active) self.assertAlmostEqual(po1.active_percent, 2.0) self.assertFalse(po2.active) self.assertAlmostEqual(po2.active_percent, 0.25) l1.weight = 400.0 self.game.do_propogate_funds() self.assertTrue(po1.active) self.assertTrue(po2.active) self.assertAlmostEqual(po2.active_percent, 2.0) def testTwoPlayersFundPolicy(self): p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=1000) n1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(p1, [(n1.id, 100),]) self.game.set_policy_funding_for_player(p2, [(n1.id, 90),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900.0) self.assertEqual(p2.balance, 910.0) self.assertEqual(n1.balance, 190.0) def testGameTransferFunds(self): p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=1000) p3 = self.game.create_player('Rich', balance=1000) n1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(p1, [(n1.id, 10),]) self.game.set_policy_funding_for_player(p2, [(n1.id, 20),]) self.game.set_policy_funding_for_player(p3, [(n1.id, 50),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 990.0) self.assertEqual(p2.balance, 980.0) self.assertEqual(p3.balance, 950.0) self.assertEqual(n1.balance, 80.0) def testGameTransferFundsNoMaxLevel(self): p1 = self.game.create_player('Matt', balance=1000) n1 = self.game.add_policy('Policy 1', max_level=0) self.game.set_policy_funding_for_player(p1, [(n1.id, 10),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 990.0) self.assertEqual(n1.balance, 10.0) def testGameTransferFundsMaxLevel(self): p1 = self.game.create_player('Matt', balance=1000) n1 = self.game.add_policy('Policy 1', leak=1.0, max_level=5.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 10),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 990.0) self.assertEqual(n1.balance, 5.0) def testGameTransferFundsMaxLevelMultiplePlayers(self): p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=1000) n1 = self.game.add_policy('Policy 1', max_level=5.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 10),]) self.game.set_policy_funding_for_player(p2, [(n1.id, 5),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 990.0) self.assertEqual(p2.balance, 995.0) self.assertEqual(n1.balance, 5.0) def testGameTransferFundsComplex(self): p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=1000) p3 = self.game.create_player('Rich', balance=1000) n1 = self.game.add_policy('Policy 1') n2 = self.game.add_policy('Policy 2') self.game.set_policy_funding_for_player(p1, [(n1.id, 10),]) self.game.set_policy_funding_for_player(p2, [(n1.id, 20),(n2.id, 50)]) self.game.set_policy_funding_for_player(p3, [(n1.id, 50),(n2.id, 40)]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 990.0) self.assertEqual(p2.balance, 930.0) self.assertEqual(p3.balance, 910.0) self.assertEqual(n1.balance, 80.0) self.assertEqual(n2.balance, 90.0) def testAllocateFundsMultiplePolicies(self): p1 = self.game.create_player('Matt', balance=1000) n1 = self.game.add_policy('Policy 1') n2 = self.game.add_policy('Policy 2') self.assertEqual(p1.balance, 1000.0) self.assertEqual(n1.balance, 0.0) self.assertEqual(n2.balance, 0.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 1000.0) self.assertEqual(n1.balance, 0.0) self.assertEqual(n2.balance, 0.0) self.game.set_policy_funding_for_player(p1, [(n1.id, 10), (n2.id, 30)]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 960.0) self.assertEqual(n1.balance, 10.0) self.assertEqual(n2.balance, 30.0) def testGameLeak100(self): n1 = self.game.add_policy('Policy 1', leak=1.0) n2 = self.game.add_policy('Policy 2', leak=1.0) p1 = self.game.create_player('Matt') n1.wallet = Wallet([(p1.id, 100.0)]) n2.wallet = Wallet([(p1.id, 100.0)]) self.assertEqual(n1.balance, 100.0) self.assertEqual(n2.balance, 100.0) self.game.do_leak() self.assertEqual(n1.balance, 0.0) self.assertEqual(n2.balance, 0.0) def testGameLeak0_100(self): n1 = self.game.add_policy('Policy 1', leak=0.0) n2 = self.game.add_policy('Policy 2', leak=1.0) p1 = self.game.create_player('Matt') n1.wallet = Wallet([(p1.id, 100.0)]) n2.wallet = Wallet([(p1.id, 100.0)]) self.assertEqual(n1.balance, 100.0) self.assertEqual(n2.balance, 100.0) self.game.do_leak() self.assertEqual(n1.balance, 100.0) self.assertEqual(n2.balance, 0.0) def testGameLeak50(self): n1 = self.game.add_policy('Policy 1', leak=0.5) n2 = self.game.add_policy('Policy 2', leak=0.2) p1 = self.game.create_player('Matt') n1.wallet = Wallet([(p1.id, 100.0)]) n2.wallet = Wallet([(p1.id, 100.0)]) self.assertEqual(n1.balance, 100.0) self.assertEqual(n2.balance, 100.0) self.game.do_leak() self.assertAlmostEqual(n1.balance, 50.0) self.assertAlmostEqual(n2.balance, 80.0) self.game.do_leak() self.assertAlmostEqual(n1.balance, 25.0) self.assertAlmostEqual(n2.balance, 64.0) def testGameGetWallets(self): p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=1000) n1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(p1, [(n1.id, 100),]) self.game.set_policy_funding_for_player(p2, [(n1.id, 90),]) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900.0) self.assertEqual(p2.balance, 910.0) self.assertEqual(n1.balance, 190.0) expected = {p1.id: 100.0, p2.id: 90.0,} wallets = self.game.get_wallets_by_location(n1.id) self.assertEqual(wallets, expected) def testFundPlayers(self): p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') p3 = self.game.create_player('Rich') self.game.do_replenish_budget() self.assertAlmostEqual(p1.balance, self.game.settings.budget_per_cycle) self.assertAlmostEqual(p2.balance, self.game.settings.budget_per_cycle) self.assertAlmostEqual(p3.balance, self.game.settings.budget_per_cycle) n1 = self.game.add_policy('Policy 1') p1.transfer_funds_to_node(n1, 100) p2.transfer_funds_to_node(n1, 200) p3.transfer_funds_to_node(n1, 400) self.assertAlmostEqual(p1.balance, self.game.settings.budget_per_cycle-100) self.assertAlmostEqual(p2.balance, self.game.settings.budget_per_cycle-200) self.assertAlmostEqual(p3.balance, self.game.settings.budget_per_cycle-400) self.assertAlmostEqual(n1.balance, 100+200+400) self.game.do_replenish_budget() self.assertAlmostEqual(p1.balance, self.game.settings.budget_per_cycle-100) self.assertAlmostEqual(p2.balance, self.game.settings.budget_per_cycle-200) self.assertAlmostEqual(p3.balance, self.game.settings.budget_per_cycle-400) self.assertAlmostEqual(p1.unclaimed_budget, self.game.settings.budget_per_cycle) self.assertAlmostEqual(p2.unclaimed_budget, self.game.settings.budget_per_cycle) self.assertAlmostEqual(p3.unclaimed_budget, self.game.settings.budget_per_cycle) self.assertAlmostEqual(n1.balance, 100+200+400) def testGameTransfer15_30(self): n1 = self.game.add_policy('Policy 1') n2 = self.game.add_policy('Policy 2') n3 = self.game.add_policy('Policy 3') p1 = self.game.create_player('Matt') l1 = self.game.add_link(n1, n2, 15.0) l2 = self.game.add_link(n1, n3, 30.0) self.game.network.rank() self.game.do_replenish_budget() p1.transfer_funds_to_node(n1, 100) self.assertEqual(n1.balance, 100) self.assertEqual(n2.balance, 0) self.assertEqual(n3.balance, 0) self.game.do_propogate_funds() self.assertAlmostEqual(n1.balance, 55.0) self.assertAlmostEqual(n2.balance, 15.0) self.assertAlmostEqual(n3.balance, 30.0) self.game.do_propogate_funds() self.assertAlmostEqual(n1.balance, 10.0) self.assertAlmostEqual(n2.balance, 30.0) self.assertAlmostEqual(n3.balance, 60.0) def testRankNodes(self): n1 = self.game.add_policy('Policy 1', leak=0.5) n2 = self.game.add_policy('Policy 2', leak=0.5) n3 = self.game.add_policy('Policy 3', leak=0.5) n4 = self.game.add_policy('Policy 4', leak=0.5) n5 = self.game.add_policy('Policy 5', leak=0.5) g1 = self.game.add_goal('Goal 1', leak=0.5) g2 = self.game.add_goal('Goal 2', leak=0.5) g3 = self.game.add_goal('Goal 3', leak=0.5) p1 = self.game.create_player('Matt') l1 = self.game.add_link(n1, n2, 4.0) l2 = self.game.add_link(n1, n3, 3.0) l3 = self.game.add_link(n3, n5, 3.0) l4 = self.game.add_link(n5, n4, 3.0) l5 = self.game.add_link(n2, g1, 1.0) l6 = self.game.add_link(n4, g2, 3.0) l7 = self.game.add_link(n3, g3, 5.0) self.game.do_replenish_budget() self.assertEqual(n1.balance, 0) self.assertEqual(n2.balance, 0) self.assertEqual(n3.balance, 0) self.assertEqual(g1.balance, 0) self.assertEqual(g2.balance, 0) self.assertEqual(g3.balance, 0) self.game.network.rank() self.assertEqual(self.game.get_ranked_nodes(), [ n1, n2, n3, n5, g1, g3, n4, g2 ]) def testGameTransfer50_goal(self): n1 = self.game.add_policy('Policy 1', leak=0.5) n2 = self.game.add_policy('Policy 2', leak=0.5) n3 = self.game.add_policy('Policy 3', leak=0.5) g1 = self.game.add_goal('Goal 1', leak=0.5) g2 = self.game.add_goal('Goal 2', leak=0.5) g3 = self.game.add_goal('Goal 3', leak=0.5) p1 = self.game.create_player('Matt') l1 = self.game.add_link(n1, n2, 4.0) l2 = self.game.add_link(n1, n3, 3.0) l3 = self.game.add_link(n2, g1, 1.0) l4 = self.game.add_link(n3, g2, 3.0) l5 = self.game.add_link(n3, g3, 5.0) self.game.do_replenish_budget() self.assertEqual(n1.balance, 0) self.assertEqual(n2.balance, 0) self.assertEqual(n3.balance, 0) self.assertEqual(g1.balance, 0) self.assertEqual(g2.balance, 0) self.assertEqual(g3.balance, 0) for i in range(200): p1.transfer_funds_to_node(n1, 10) p1.transfer_funds_to_node(n2, 10) p1.transfer_funds_to_node(n3, 10) self.game.do_propogate_funds() self.assertAlmostEqual(n1.balance, 600.0) self.assertAlmostEqual(n2.balance, 2600.0) self.assertAlmostEqual(n3.balance, 1000.0) self.assertAlmostEqual(g1.balance, 200.0) self.assertAlmostEqual(g2.balance, 600.0) self.assertAlmostEqual(g3.balance, 1000.0) def testSimpleNetwork(self): p1 = self.game.create_player('Player 1', balance=1000) po1 = self.game.add_policy('Policy 1') g1 = self.game.add_goal('Goal 1') g2 = self.game.add_goal('Goal 2') l1 = self.game.add_link(po1, g1, 3.0) l2 = self.game.add_link(po1, g2, 4.0) p1.transfer_funds_to_node(po1, 10) self.game.do_propogate_funds() self.assertAlmostEqual(p1.balance, 990) self.assertAlmostEqual(g1.balance, 3.0) self.assertAlmostEqual(g2.balance, 4.0) def testSimpleNetworkLessThanBalance(self): p1 = self.game.create_player('Player 1', balance=1000) po1 = self.game.add_policy('Policy 1') g1 = self.game.add_goal('Goal 1') g2 = self.game.add_goal('Goal 2') l1 = self.game.add_link(po1, g1, 10.0) l2 = self.game.add_link(po1, g2, 40.0) p1.transfer_funds_to_node(po1, 10) self.game.do_propogate_funds() self.assertAlmostEqual(p1.balance, 990) self.assertAlmostEqual(g1.balance, 2.0) self.assertAlmostEqual(g2.balance, 8.0) def testSimpleNetworkTwoWallets(self): p1 = self.game.create_player('Player 1', balance=1000) p2 = self.game.create_player('Player 2', balance=1000) po1 = self.game.add_policy('Policy 1') g1 = self.game.add_goal('Goal 1',) g2 = self.game.add_goal('Goal 2') l1 = self.game.add_link(po1, g1, 3.0) l2 = self.game.add_link(po1, g2, 5.0) p1.transfer_funds_to_node(po1, 10) p2.transfer_funds_to_node(po1, 30) self.game.do_propogate_funds() self.assertAlmostEqual(p1.balance, 990) self.assertAlmostEqual(p2.balance, 970) self.assertAlmostEqual(g1.balance, 3.0) self.assertEqual(g1.wallet_owner_map, {p1.id: 0.75, p2.id: 2.25}) self.assertAlmostEqual(g2.balance, 5.0) self.assertEqual(g2.wallet_owner_map, {p1.id: 1.25, p2.id: 3.75}) def testSimpleNetworkTwoWalletsLessThanBalance(self): p1 = self.game.create_player('Player 1', balance=1000) p2 = self.game.create_player('Player 2', balance=1000) po1 = self.game.add_policy('Policy 1') g1 = self.game.add_goal('Goal 1') g2 = self.game.add_goal('Goal 2') l1 = self.game.add_link(po1, g1, 3.0) l2 = self.game.add_link(po1, g2, 5.0) p1.transfer_funds_to_node(po1, 1) p2.transfer_funds_to_node(po1, 3) self.assertAlmostEqual(p1.balance, 999) self.assertAlmostEqual(p2.balance, 997) self.assertAlmostEqual(po1.balance, 4) self.game.do_propogate_funds() self.assertAlmostEqual(g1.balance, 1.5) self.assertEqual(g1.wallet_owner_map, {p1.id: 0.375, p2.id: 1.125}) self.assertAlmostEqual(g2.balance, 2.5) self.assertEqual(g2.wallet_owner_map, {p1.id: 0.625, p2.id: 1.875}) def testSimplePlayerCoinsNetwork(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 50),]) self.assertEqual(p1.balance, 1000) self.assertEqual(po1.balance, 0) p1.transfer_funds_to_node(po1, 60) self.assertEqual(po1.balance, 60) self.assertEqual(p1.balance, 940) self.assertEqual(po1.balance, 60) def testTransferPartialFunds(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo') self.game.set_policy_funding_for_player(p1, [(po1.id, 100.0),]) g1 = self.game.add_goal('World Peace') l1 = self.game.add_link(po1, g1, 1.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900) self.assertEqual(po1.balance, 99.0) self.assertEqual(g1.balance, 1.0) def testTransferFullFunds(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 100),]) g1 = self.game.add_goal('World Peace', leak=1.0) l1 = self.game.add_link(po1, g1, 2.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 900) self.assertEqual(po1.balance, 98.0) self.assertEqual(g1.balance, 2.0) def testTransferGreaterThan100_300(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 3.0),]) self.assertEqual(p1.balance, 1000) self.assertEqual(po1.balance, 0) for x in range(50): self.game.do_propogate_funds() self.assertEqual(p1.balance, 850) self.assertEqual(po1.balance, 150) def testTransferSlowFunds(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 1.0)]) g1 = self.game.add_goal('World Peace', leak=1.0) l1 = self.game.add_link(po1, g1, 2.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 999) self.assertEqual(po1.balance, 0.0) self.assertEqual(g1.balance, 1.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 998) self.assertEqual(po1.balance, 0.0) self.assertEqual(g1.balance, 2.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 997) self.assertEqual(po1.balance, 0.0) self.assertEqual(g1.balance, 3.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 996) self.assertEqual(po1.balance, 0.0) self.assertEqual(g1.balance, 4.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 995) self.assertEqual(po1.balance, 0.0) self.assertEqual(g1.balance, 5.0) def testTransferFastFunds(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 3.0),]) g1 = self.game.add_goal('World Peace', leak=1.0) l1 = self.game.add_link(po1, g1, 1.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 997) self.assertEqual(po1.balance, 2.0) self.assertEqual(g1.balance, 1.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 994) self.assertEqual(po1.balance, 4.0) self.assertEqual(g1.balance, 2.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 991) self.assertEqual(po1.balance, 6.0) self.assertEqual(g1.balance, 3.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 988) self.assertEqual(po1.balance, 8.0) self.assertEqual(g1.balance, 4.0) self.game.do_propogate_funds() self.assertEqual(p1.balance, 985) self.assertEqual(po1.balance, 10.0) self.assertEqual(g1.balance, 5.0) def testMoreComplexPlayerCoinsNetwork(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo') po2 = self.game.add_policy('Pollution control') self.game.set_policy_funding_for_player(p1, [(po1.id, 0.5), (po2.id, 1.0)]) g1 = self.game.add_goal('World Peace') g2 = self.game.add_goal('Clean Water') l3 = self.game.add_link(po1, g1, 1.0) l4 = self.game.add_link(po2, g2, 2.0) self.assertEqual(p1.balance, 1000) self.assertEqual(po1.balance, 0) for x in range(100): self.game.do_propogate_funds() self.assertEqual(p1.balance, 850) self.assertEqual(po1.balance, 0) self.assertEqual(po2.balance, 0) self.assertEqual(g1.balance, 50) self.assertEqual(g2.balance, 100) def testMoreComplexPlayerCoinsNetworkWithFullTick(self): p1 = self.game.create_player('Matt', balance=5000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) po2 = self.game.add_policy('Pollution control', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 10.0), (po2.id, 15.0)]) g1 = self.game.add_goal('World Peace', leak=0.5) g2 = self.game.add_goal('Clean Water', leak=0.5) l3 = self.game.add_link(po1, g1, 5.0) l4 = self.game.add_link(po2, g2, 9.0) self.assertEqual(p1.balance, 5000) self.assertEqual(po1.balance, 0) for x in range(100): self.game.tick() self.assertEqual(p1.balance, 2500) self.assertAlmostEqual(po1.balance, 50, 2) self.assertAlmostEqual(po2.balance, 60, 2) self.assertEqual(g1.balance, 10.0) self.assertEqual(g2.balance, 18.0) def testTwoPlayersFundAPolicyEqually(self): p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 1.0),]) self.game.set_policy_funding_for_player(p2, [(po1.id, 1.0),]) self.assertEqual(po1.balance, 0) for x in range(100): self.game.do_propogate_funds() self.assertEqual(p1.balance, 900) self.assertEqual(p2.balance, 900) self.assertEqual(po1.balance, 200) def testActivationLevelLow(self): p1 = self.game.create_player('Matt', balance=1000) po1 = self.game.add_policy('Arms Embargo', leak=0.1, activation=0.2) g1 = self.game.add_goal('World Peace', leak=0.5) f = self.game.set_policy_funding_for_player(p1, [(po1.id, 5.0),]) l2 = self.game.add_link(po1, g1, 1.0) self.assertEqual(po1.balance, 0) for x in range(100): self.game.do_propogate_funds() self.assertEqual(p1.balance, 500.0) self.assertEqual(po1.balance, 500.0) self.assertEqual(g1.balance, 0) def testActivationLevelHigh(self): p1 = self.game.create_player('Matt', balance=10000) po1 = self.game.add_policy('Arms Embargo', leak=0.1, activation=0.2) g1 = self.game.add_goal('World Peace', leak=0.5) f = self.game.set_policy_funding_for_player(p1, [(po1.id, 250.0),]) l2 = self.game.add_link(po1, g1, 1.0) self.assertEqual(po1.balance, 0) for x in range(10): self.game.do_propogate_funds() self.assertEqual(p1.balance, 7500) self.assertEqual(po1.balance, 2490) self.assertEqual(g1.balance, 10) def testGetBudget(self): self.add_20_goals_and_policies() player = self.game.create_player('Matt', balance=1000) budget = self.game.get_policy_funding_for_player(player) actual = sorted([ {'policy_id': p, 'amount': amount} for (p,amount) in budget ]) expected = sorted([{'amount': 0.0, 'policy_id': 'P0'}, {'amount': 0.0, 'policy_id': 'P1'}, {'amount': 0.0, 'policy_id': 'P10'}, {'amount': 0.0, 'policy_id': 'P11'}, {'amount': 0.0, 'policy_id': 'P12'}]) self.assertEqual(expected, actual) def testSetBudget(self): self.add_20_goals_and_policies() player = self.game.create_player('Matt', balance=1000) fundings = [ ('P0', 10), ('P1', 20), ('P2', 30), ] self.game.set_policy_funding_for_player(player, fundings) budget = self.game.get_policy_funding_for_player(player) actual = sorted([ {'policy_id': p, 'amount': amount} for (p,amount) in budget if amount > 0]) expected = sorted([{'amount': 10.0, 'policy_id': 'P0'}, {'amount': 20.0, 'policy_id': 'P1'}, {'amount': 30.0, 'policy_id': 'P2'}]) self.assertEqual(expected, actual) def testCreateTable(self): p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') table = self.game.create_table('table a') self.assertEqual(list(table.players), []) self.game.add_player_to_table(p1.id, table.id) self.assertEqual(list(table.players), [p1.id,]) self.game.add_player_to_table(p2.id, table.id) self.assertEqual(sorted(list(table.players)), sorted([p1.id,p2.id])) self.game.remove_player_from_table(p1.id, table.id) self.assertEqual(list(table.players), [p2.id,]) @unittest.skip("needs fixing after network re-jig") def testGetNetworkForTable(self): data = json.load(open('examples/network.json', 'r')) self.game.create_network(data) t1 = self.game.create_table('T1') p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') p3 = self.game.create_player('Richard') table_uuid = default_uuid() self.assertEqual(self.game.get_network_for_table('nonexistant'), None) table = self.game.get_network_for_table(t1.id) self.assertEqual(len(table['goals']), 6) self.assertEqual(len(table['policies']), 30) t1.players.append(p1) table = self.game.get_network_for_table(t1.id) self.assertEqual(len(table['goals']), 1) self.assertEqual(len(table['policies']), 5) t1.players.append(p2) table = self.game.get_network_for_table(t1.id) self.assertEqual(len(table['goals']), 2) self.assertEqual(len(table['policies']), 7) p2.table = None table = self.game.get_network_for_table(t1.id) self.assertEqual(len(table['goals']), 1) self.assertEqual(len(table['policies']), 5) def testTopPlayers(self): g1 = self.game.add_goal('G1') g2 = self.game.add_goal('G2') po1 = self.game.add_policy('Po1') po2 = self.game.add_policy('Po2') self.game.add_link(po1, g1, 100) self.game.add_link(po2, g2, 100) p1 = self.game.create_player('Matt', goal_id=g1.id) p2 = self.game.create_player('Simon', goal_id=g1.id) p3 = self.game.create_player('Richard', goal_id=g2.id) self.game.set_policy_funding_for_player(p1, [(po1.id, 10),]) self.game.set_policy_funding_for_player(p2, [(po1.id, 20),(po2.id, 40),]) self.game.set_policy_funding_for_player(p3, [(po2.id, 15),]) self.game.tick() self.assertEqual(p1.balance, 1499990) self.assertEqual(p2.balance, 1499940) self.assertEqual(p3.balance, 1499985) top = self.game.top_players() self.assertEqual(top, [p2,p3,p1]) self.game.set_policy_funding_for_player(p1, [(po1.id, 100),]) self.game.tick() top = self.game.top_players() self.assertEqual(top, [p1,p2,p3]) def testGoalFunded(self): g1 = self.game.add_goal('G1') g2 = self.game.add_goal('G2') po1 = self.game.add_policy('Po1') po2 = self.game.add_policy('Po2') l1 = self.game.add_link(po1, g1, 100) l2 = self.game.add_link(po2, g2, 100) p1 = self.game.create_player('Matt', balance=1000, goal_id=g1.id) self.assertEqual(self.game.goal_funded_by_player(p1.id), 0) self.game.set_policy_funding_for_player(p1, [(po1.id, 10), (po2.id, 30)]) self.game.tick() self.assertEqual(p1.balance, 960) self.assertEqual(self.game.goal_funded_by_player(p1.id), 10) self.game.tick() self.assertEqual(p1.balance, 920) self.assertEqual(self.game.goal_funded_by_player(p1.id), 20) self.assertEqual(g2.balance, 60) def testOfferPolicy(self): p1 = self.game.create_player('Matt') po1 = self.game.add_policy('Arms Embargo', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 0),]) data = self.game.offer_policy(p1.id, po1.id, 5000) self.assertEqual(data['seller_id'], p1.id) self.assertEqual(data['policy_id'], po1.id) self.assertEqual(data['price'], 5000) self.assertEqual(len(data['checksum']), 40) def testBuyPolicy(self): seller = self.game.create_player('Matt') buyer = self.game.create_player('Simon') self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) self.assertNotIn(p1.id, buyer.policies) offer = self.game.offer_policy(seller.id, p1.id, 20000) self.game.buy_policy(buyer.id, offer) self.assertIn(p1.id, buyer.policies) self.assertIn(p1.id, seller.policies) self.assertEqual(seller.balance, 1500000+20000) self.assertEqual(buyer.balance, 1500000-20000) def testBuyPolicyFailDupe(self): seller = self.game.create_player('Matt') buyer = self.game.create_player('Simon') self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.game.set_policy_funding_for_player(buyer, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) self.assertIn(p1.id, buyer.policies) offer = self.game.offer_policy(seller.id, p1.id, 20000) with self.assertRaises(ValueError): self.game.buy_policy(buyer.id, offer) self.assertIn(p1.id, buyer.policies) self.assertIn(p1.id, seller.policies) self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) def testBuyPolicyFailNoFunds(self): seller = self.game.create_player('Matt') buyer = self.game.create_player('Simon') self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) self.assertNotIn(p1.id, buyer.policies) offer = self.game.offer_policy(seller.id, p1.id, 2000000) with self.assertRaises(ValueError): self.game.buy_policy(buyer.id, offer) self.assertNotIn(p1.id, buyer.policies) self.assertIn(p1.id, seller.policies) self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) def testBuyPolicyFailNoPolicy(self): seller = self.game.create_player('Matt') buyer = self.game.create_player('Simon') self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.assertNotIn(p1, seller.policies) self.assertNotIn(p1, buyer.policies) with self.assertRaises(ValueError): offer = self.game.offer_policy(seller.id, p1.id, 20000) self.game.buy_policy(buyer.id, offer) self.assertNotIn(p1, buyer.policies) self.assertNotIn(p1, seller.policies) self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) def testGameStartStop(self): self.assertTrue(self.game.is_running()) year = self.game.stop() self.assertEqual(year, 2017) self.assertFalse(self.game.is_running()) def testMessages(self): messages = tuple(self.game.get_messages()) self.assertEqual(len(messages), 0) t1 = datetime.now() m1 = self.game.add_message(t1, "policy", "message 1") messages = tuple(self.game.get_messages()) self.assertEqual(len(messages), 1) self.assertEqual(messages[0].timestamp, t1) self.assertEqual(messages[0].message, "message 1") self.assertEqual(messages[0].type, "policy") t2 = datetime.now() m2 = self.game.add_message(t2, "event", "message 2") messages = tuple(self.game.get_messages()) self.assertEqual(len(messages), 2) self.game.clear_messages() messages = tuple(self.game.get_messages()) self.assertEqual(len(messages), 0) def testClaimBudget(self): p1 = self.game.create_player('Matt') p1.balance = 1000 p1.unclaimed_budget = 1500000 p1.claim_budget() self.assertEqual(p1.balance, 1500000) self.assertEqual(p1.unclaimed_budget, 0) # 2nd claim with no unclaimed budget should do no-op p1.balance = 1400000 p1.claim_budget() self.assertEqual(p1.balance, 1400000) self.assertEqual(p1.unclaimed_budget, 0) class DataLoadTests(ControllerTestCase): def testCreateNetwork(self): json_file = open('examples/example-network.json', 'r') self.game.create_network(json.load(json_file)) self.assertEqual(80, len(self.game.network.edges)) self.assertEqual(44, len(self.game.network.ranked_nodes)) self.assertEqual(37, len(self.game.network.policies)) self.assertEqual(7, len(self.game.network.goals)) self.assertEqual(80, len(self.game.network.edges)) self.assertEqual(37, len(self.game.network.policies)) self.assertEqual(7, len(self.game.network.goals)) def testGetNetwork(self): p1 = self.game.create_player('Matt', balance=5000) po1 = self.game.add_policy('Arms Embargo', leak=0.1) po2 = self.game.add_policy('Pollution control', leak=0.1) self.game.set_policy_funding_for_player(p1, [(po1.id, 10.0), (po2.id, 15.0),]) g1 = self.game.add_goal('World Peace', leak=0.5) g2 = self.game.add_goal('Clean Water', leak=0.5) g3 = self.game.add_goal('Equal Rights', leak=0.2) l3 = self.game.add_link(po1, g1, 5.0) l4 = self.game.add_link(po2, g2, 9.0) self.assertEqual(p1.balance, 5000) self.assertEqual(po1.balance, 0) for x in range(20): self.game.tick() network = self.game.get_network() policies = tuple(network['policies']) goals = tuple(network['goals']) self.assertEqual(len(policies), 2) self.assertEqual(len(goals), 3) # todo: add more tests here def testClearNetwork(self): json_file = open('examples/example-network.json', 'r') self.game.create_network(json.load(json_file)) n = self.game.network self.assertEqual(80, len(n.edges)) self.assertEqual(44, len(n.ranked_nodes)) self.assertEqual(37, len(n.policies)) self.assertEqual(7, len(n.goals)) self.game.clear_network() n = self.game.network self.assertEqual(0, len(n.edges)) self.assertEqual(0, len(n.ranked_nodes)) self.assertEqual(0, len(n.policies)) self.assertEqual(0, len(n.goals)) def testGetWallets(self): self.add_20_goals_and_policies() p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') new_fundings = [] fundings = self.game.get_policy_funding_for_player(p1) for i,(p_id,a) in enumerate(fundings): new_fundings.append((p_id,i)) self.game.set_policy_funding_for_player(p1, new_fundings) new_fundings = [] fundings = self.game.get_policy_funding_for_player(p2) for i,(p_id,a) in enumerate(fundings): new_fundings.append((p_id,i)) self.game.set_policy_funding_for_player(p2, new_fundings) self.game.network.rank() self.game.do_propogate_funds() nodes = [ self.game.network.policies[x] for x in set(p1.policies.keys() + p2.policies.keys()) ] wallets = [] for n in nodes: for player_id,amount in n.wallet.todict().items(): wallets.append(dict(location=n.id, owner=self.game.get_player(player_id).id, balance=float("{:.2f}".format(amount)))) expected = [{'owner': p1.id, 'balance': 1.0, 'location': 'P1'}, {'owner': p2.id, 'balance': 1.0, 'location': 'P1'}, {'owner': p1.id, 'balance': 2.0, 'location': 'P10'}, {'owner': p2.id, 'balance': 2.0, 'location': 'P10'}, {'owner': p2.id, 'balance': 3.0, 'location': 'P11'}, {'owner': p1.id, 'balance': 3.0, 'location': 'P11'}, {'owner': p1.id, 'balance': 4.0, 'location': 'P12'}, {'owner': p2.id, 'balance': 4.0, 'location': 'P12'}] self.assertEqual(sorted(expected), sorted(wallets)) class RestAPITests(ViewTestCase): def testTick(self): transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.put("/v1/game/tick", headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) def testPlayerFunding(self): headers = {'X-API-KEY': self.api_key} p1 = self.game.create_player('Matt', balance=1000) p2 = self.game.create_player('Simon', balance=0) n1 = self.game.add_policy('Policy 1') n2 = self.game.add_policy('Policy 2') self.game.set_policy_funding_for_player(p1, [(n1.id, 100), (n2.id, 100),]) self.game.set_policy_funding_for_player(p2, [(n2.id, 200),]) transaction.commit() # temp unavailable as not computed yet response = self.client.get("/v1/game/player_fundings", headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) response = self.client.put("/v1/game/tick", headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) response = self.client.get("/v1/game/player_fundings", headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) expected = [{'id': p1.id, 'name': p1.name, 'funding': [{'id': n1.id, 'amount_set': 100, 'amount_actual': 100}, {'id': n2.id, 'amount_set': 100, 'amount_actual': 100,}, ]}, {'id': p2.id, 'name': p2.name, 'funding': [{'id': n2.id, 'amount_set': 200, 'amount_actual': 0}, ]} ] self.assertEqual(sorted(expected), sorted(response.json)) def testGetSpecificPlayer(self): name = 'Matt' player = self.game.create_player(name) id = player.id transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}".format(id), headers=headers) self.assertEquals(response.status_code, 200) self.assertDictContainsSubset(dict(name=name, id=id), response.json) self.assertFalse(response.json.has_key('token')) def testGetNonExistentPlayer(self): transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/players/nobody", headers=headers) self.assertEquals(response.status_code, 404) def testCreateNewPlayer(self): data = dict(name='Matt') transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.post("/v1/players/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) id = response.json['id'] token = response.json['token'] player = self.game.get_player(id) self.assertEquals(id, player.id) self.assertEquals(token, player.token) def testCreateThenGetNewPlayer(self): transaction.commit() name = 'Matt {}'.format(time.time()) data = dict(name=name) headers = {'X-API-KEY': self.api_key} response = self.client.post("/v1/players/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) id = response.json['id'] response = self.client.get("/v1/players/{}".format(id), headers=headers) self.assertEquals(response.status_code, 200) self.assertDictContainsSubset(dict(name=name, id=id), response.json) self.assertFalse(response.json.has_key('token')) def testCreateThenGetNewPlayerWithNodes(self): # create some nodes first self.add_20_goals_and_policies() transaction.commit() name = 'Matt {}'.format(time.time()) data = dict(name=name) headers = {'X-API-KEY': self.api_key} response = self.client.post("/v1/players/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) id = response.json['id'] response = self.client.get("/v1/players/{}".format(id), headers=headers) self.assertEquals(response.status_code, 200) self.assertDictContainsSubset(dict(name=name, id=id), response.json) self.assertEquals(response.json['goal']['id'], 'G0') policies = response.json['policies'] policies = [ x['id'] for x in policies ] policies.sort() self.assertEquals(policies, [u'P0', u'P1', u'P10', u'P11', u'P12']) self.assertFalse(response.json.has_key('token')) name = 'Simon {}'.format(time.time()) data = dict(name=name) response = self.client.post("/v1/players/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) id = response.json['id'] response = self.client.get("/v1/players/{}".format(id), headers=headers) self.assertEquals(response.status_code, 200) self.assertDictContainsSubset(dict(name=name, id=id), response.json) self.assertEquals(response.json['goal']['id'], 'G0') policies = response.json['policies'] policies = [ x['id'] for x in policies ] policies.sort() self.assertEquals(policies, [u'P0', u'P1', u'P10', u'P11', u'P12']) self.assertFalse(response.json.has_key('token')) @unittest.skip("needs fixing after network re-jig") def testGetNetwork(self): p1 = self.game.create_player('Matt') p1.balance = 5000 po1 = self.game.add_policy('Arms Embargo', 0.1) self.game.add_fund(p1, po1, 10.0) po2 = self.game.add_policy('Pollution control', 0.1) self.game.add_fund(p1, po2, 15.0) g1 = self.game.add_goal('World Peace', 0.5) g2 = self.game.add_goal('Clean Water', 0.5) g3 = self.game.add_goal('Equal Rights', 0.2) l3 = self.game.add_link(po1, g1, 5.0) l4 = self.game.add_link(po2, g2, 9.0) self.assertEqual(p1.balance, 5000) self.assertEqual(po1.balance, 0) for x in range(20): self.game.tick() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/network/", headers=headers) self.assertEquals(response.status_code, 200) self.assertEquals(len(response.json['policies']), 2) self.assertEquals(len(response.json['goals']), 3) def testCreateNetwork(self): data = json.load(open('examples/example-network.json', 'r')) transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.post("/v1/network/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) self.game.populate() self.assertEqual(80, len(self.game.network.edges)) self.assertEqual(44, len(self.game.network.ranked_nodes)) self.assertEqual(37, len(self.game.network.policies)) self.assertEqual(7, len(self.game.network.goals)) self.assertEqual(80, len(self.game.network.edges)) self.assertEqual(37, len(self.game.network.policies)) self.assertEqual(7, len(self.game.network.goals)) @unittest.skip("needs fixing after network re-jig") def testCreateThenGetNetwork(self): data = json.load(open('examples/example-network.json', 'r')) headers = {'X-API-KEY': self.api_key} response = self.client.post("/v1/network/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) response = self.client.get("/v1/network/", headers=headers) self.assertEquals(response.status_code, 200) self.assertEquals(len(response.json['policies']), 37) self.assertEquals(len(response.json['goals']), 7) self.assertEqual(data, response.json) def testUpdateNetwork(self): data = json.load(open('examples/example-network.json', 'r')) self.game.create_network(data) self.game.tick() self.assertEqual(80, len(self.game.network.edges)) self.assertEqual(44, len(self.game.network.ranked_nodes)) self.assertEqual(37, len(self.game.network.policies)) self.assertEqual(7, len(self.game.network.goals)) transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/network/", headers=headers) self.assertEquals(response.status_code, 200) self.assertEquals(len(response.json['policies']), 37) self.assertEquals(len(response.json['goals']), 7) expected = response.json e = expected['goals'][0] e['short_name'] = 'new short name' e['group'] = 1 e['name'] = 'long name' e['max_amount'] = 100.0 e['activation_amount'] = 10.0 e['leakage'] = 0.2 id_ = e['id'] response2 = self.client.put("/v1/network/", data=json.dumps(expected), headers=headers, content_type='application/json') self.assertEquals(response2.status_code, 200) d = { x['id']: x for x in response2.json['goals'] } self.assertEqual(d[id_]['short_name'], 'new short name') # remove generation time del expected['generated'] self.assertEqual(sorted(expected), sorted(response2.json)) def testCreateTable(self): transaction.commit() data = {'name': 'Table A'} headers = {'X-API-KEY': self.api_key} response = self.client.post("/v1/tables/", data=json.dumps(data), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 201) self.assertEquals(response.json['name'], 'Table A') self.assertEquals(response.json['players'], []) id = response.json['id'] self.assertEquals(self.game.get_table(id).id, id) def testDeleteTable(self): table = self.game.create_table('Table A') id = table.id transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.delete("/v1/tables/{}".format(id), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) self.assertEquals(self.game.get_table(id), None) def testGetTableEmpty(self): data = json.load(open('examples/example-network.json', 'r')) self.game.create_network(data) table = self.game.create_table('Table A') transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json self.assertEquals(result['id'], table.id) self.assertEquals(result['name'], 'Table A') self.assertEquals(result['players'], []) self.assertEquals(len(result['network']['nodes']), 44) self.assertEquals(len(result['network']['links']), 80) def testGetTableWithOnePlayer(self): data = json.load(open('examples/example-network.json', 'r')) self.game.create_network(data) p1 = self.game.create_player('Matt') self.game.set_policy_funding_for_player(p1, [(sorted(p1.policies)[0], 10)],) table = self.game.create_table('Table A') self.game.add_player_to_table(p1.id, table.id) transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json self.assertEquals(result['id'], table.id) self.assertEquals(result['name'], 'Table A') self.assertEquals(result['players'][0]['name'], 'Matt') self.assertEquals(len(result['network']['nodes']), 5) self.assertEquals(len(result['network']['links']), 2) def testGetTableWithTwoPlayers(self): data = json.load(open('examples/example-network.json', 'r')) self.game.create_network(data) p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') self.game.set_policy_funding_for_player(p1, [(sorted(p1.policies)[0], 10)],) self.game.set_policy_funding_for_player(p2, [(sorted(p2.policies)[1], 10)],) table = self.game.create_table('Table A') self.game.add_player_to_table(p1.id, table.id) self.game.add_player_to_table(p2.id, table.id) transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json self.assertEquals(result['id'], table.id) self.assertEquals(result['name'], 'Table A') self.assertEquals(sorted(result['players'])[0]['name'], 'Matt') self.assertEquals(len(result['network']['nodes']), 7) self.assertEquals(len(result['network']['links']), 3) def testGetTableChecksum(self): data = json.load(open('examples/example-network.json', 'r')) self.game.create_network(data) p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') self.game.set_policy_funding_for_player(p1, [(sorted(p1.policies)[0], 10), (sorted(p1.policies)[1], 0)]) self.game.set_policy_funding_for_player(p2, [(sorted(p2.policies)[1], 10), (sorted(p2.policies)[2], 0)]) table = self.game.create_table('Table A') # table.players.append(p1) self.game.add_player_to_table(p1.id, table.id) self.game.tick() transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json chksum1 = result['layout_checksum'] response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json self.assertEqual(chksum1, result['layout_checksum']) # p1.policies[0].lower_edges[0].weight = 0.5 fundings = self.game.get_policy_funding_for_player(p1) fundings = [(fundings[0][0], 0.5), (fundings[1][0], 0)] self.game.set_policy_funding_for_player(p1, fundings) response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json self.assertEqual(chksum1, result['layout_checksum']) # p1.fund(p1.policies[1], 10) fundings = self.game.get_policy_funding_for_player(p1) fundings = [(fundings[0][0], 10), (fundings[1][0], 10)] self.game.set_policy_funding_for_player(p1, fundings) self.game.tick() transaction.commit() response = self.client.get("/v1/tables/{}".format(table.id), headers=headers) self.assertEquals(response.status_code, 200) result = response.json self.assertNotEqual(chksum1, result['layout_checksum']) def testGetFunding(self): self.add_20_goals_and_policies() name = 'Matt' player = self.game.create_player(name) id = player.id self.game.set_policy_funding_for_player(player, [(p_id,a) for a,p_id in enumerate(player.policies)]) funding = [] for amount,policy in enumerate(player.policies): funding.append({u'to_id': policy, u'amount': amount, u'from_id': id}) transaction.commit() headers = {'X-USER-KEY': player.token, 'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}/funding".format(id), headers=headers) self.assertEquals(response.status_code, 200) self.assertEquals(sorted(funding), sorted(response.json)) def testGetFundingFailAuth(self): self.add_20_goals_and_policies() name = 'Matt' player = self.game.create_player(name) id = player.id funding = [] for amount,edge in enumerate(player.lower_edges): edge.weight = amount dest_id = edge.higher_node.id funding.append({'from_id':id, 'to_id': dest_id, 'amount': amount}) headers = {'X-USER-KEY': 'bogus', 'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}/funding".format(id), headers=headers) self.assertEquals(response.status_code, 401) def testSetFunding(self): for x in range(5): p = self.game.add_policy("P{}".format(x)) name = 'Matt' player = self.game.create_player(name) id = player.id fundings = self.game.get_policy_funding_for_player(player) self.assertEqual([ amount for (_,amount) in fundings ], [0,0,0,0,0]) new_fundings = [ {"from_id": player.id, "to_id": policy_id, "amount": i} for (i,(policy_id,amount)) in enumerate(fundings) ] transaction.commit() headers = {'X-USER-KEY': player.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/players/{}/funding".format(id), data=json.dumps(new_fundings), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) actual = self.game.get_policy_funding_for_player(player) self.assertEqual([ amount for (_,amount) in actual ], [0,1,2,3,4]) def testSetFundingMaxOverflow(self): for x in range(5): p = self.game.add_policy("P{}".format(x)) name = 'Matt' player = self.game.create_player(name) id = player.id fundings = self.game.get_policy_funding_for_player(player) self.assertEqual([ amount for (_,amount) in fundings ], [0,0,0,0,0]) new_fundings = [ {"from_id": player.id, "to_id": policy_id, "amount": i*200} for (i,(policy_id,amount)) in enumerate(fundings) ] transaction.commit() headers = {'X-API-KEY': self.api_key, 'X-USER-KEY': player.token} response = self.client.put("/v1/players/{}/funding".format(id), data=json.dumps(new_fundings), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 400) def testGetWallets(self): self.add_20_goals_and_policies() p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') new_fundings = [] fundings = self.game.get_policy_funding_for_player(p1) for i,(p_id,a) in enumerate(fundings): new_fundings.append((p_id,i)) self.game.set_policy_funding_for_player(p1, new_fundings) new_fundings = [] fundings = self.game.get_policy_funding_for_player(p2) for i,(p_id,a) in enumerate(fundings): new_fundings.append((p_id,i)) self.game.set_policy_funding_for_player(p2, new_fundings) self.game.network.rank() self.game.do_propogate_funds() transaction.commit() wallets = [] nodes = set(p1.policies.keys() + p2.policies.keys()) for n in nodes: headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/network/{}/wallets".format(n), headers=headers) if response.status_code == 200: wallets.extend(response.json) expected = [{'owner': p1.id, 'balance': 1.0, 'location': 'P1'}, {'owner': p2.id, 'balance': 1.0, 'location': 'P1'}, {'owner': p1.id, 'balance': 2.0, 'location': 'P10'}, {'owner': p2.id, 'balance': 2.0, 'location': 'P10'}, {'owner': p2.id, 'balance': 3.0, 'location': 'P11'}, {'owner': p1.id, 'balance': 3.0, 'location': 'P11'}, {'owner': p1.id, 'balance': 4.0, 'location': 'P12'}, {'owner': p2.id, 'balance': 4.0, 'location': 'P12'}] self.assertEqual(sorted(expected), sorted(wallets)) def testGetNode(self): n1 = self.game.add_policy('A') transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/network/{}".format(n1.id), headers=headers) self.assertEqual(response.status_code, 200) self.assertEqual(response.json['id'], n1.id) self.assertEqual(response.json['name'], 'A') def testGetOfferDefaultPrice(self): seller = self.game.create_player('Matt', balance=1500000) self.assertEqual(seller.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) transaction.commit() headers = {'X-USER-KEY': seller.token, 'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}/policies/{}/offer".format(seller.id, p1.id), headers=headers) self.assertEqual(response.status_code, 200) offer = response.json self.assertEqual(offer['price'], self.game.default_offer_price) def testGetOfferCustomPrice(self): seller = self.game.create_player('Matt', balance=1500000) self.assertEqual(seller.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) transaction.commit() headers = {'X-USER-KEY': seller.token, 'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}/policies/{}/offer?price={}".format(seller.id, p1.id, 0), headers=headers) self.assertEqual(response.status_code, 200) offer = response.json self.assertEqual(offer['price'], 0) def testBuyPolicy(self): seller = self.game.create_player('Matt') buyer = self.game.create_player('Simon') self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1500000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) self.assertNotIn(p1.id, buyer.policies) transaction.commit() headers = {'X-USER-KEY': seller.token, 'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}/policies/{}/offer".format(seller.id, p1.id), headers=headers) self.assertEqual(response.status_code, 200) offer = response.json headers = {'X-USER-KEY': buyer.token, 'X-API-KEY': self.api_key} response = self.client.post("/v1/players/{}/policies/".format(buyer.id), data=json.dumps(offer), headers=headers, content_type='application/json') self.assertEqual(response.status_code, 200) self.assertIn(p1.id, buyer.policies) self.assertIn(p1.id, seller.policies) self.assertEqual(seller.balance, 1500000+300000) self.assertEqual(buyer.balance, 1500000-300000) def testBuyPolicyFail(self): seller = self.game.create_player('Matt') buyer = self.game.create_player('Simon', balance=1000) self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1000) p1 = self.game.add_policy('Policy 1') self.game.set_policy_funding_for_player(seller, [(p1.id, 0),]) self.assertIn(p1.id, seller.policies) self.assertNotIn(p1.id, buyer.policies) transaction.commit() headers = {'X-USER-KEY': seller.token, 'X-API-KEY': self.api_key} response = self.client.get("/v1/players/{}/policies/{}/offer".format(seller.id, p1.id), headers=headers) self.assertEqual(response.status_code, 200) offer = response.json headers = {'X-USER-KEY': buyer.token, 'X-API-KEY': self.api_key} response = self.client.post("/v1/players/{}/policies/".format(buyer.id), data=json.dumps(offer), headers=headers, content_type='application/json') self.assertEqual(response.status_code, 400) self.assertNotIn(p1.id, buyer.policies) self.assertIn(p1.id, seller.policies) self.assertEqual(seller.balance, 1500000) self.assertEqual(buyer.balance, 1000) def testLeagueTable(self): g1 = self.game.add_goal('G1') g2 = self.game.add_goal('G2') p1 = self.game.create_player('Matt', goal_id=g1.id) p2 = self.game.create_player('Simon', goal_id=g1.id) p3 = self.game.create_player('Richard', goal_id=g2.id) po1 = self.game.add_policy('po1') po2 = self.game.add_policy('po2') self.game.add_link(po1, g1, 100) self.game.add_link(po2, g2, 100) self.game.set_policy_funding_for_player(p1, [(po1.id, 10),]) self.game.set_policy_funding_for_player(p2, [(po1.id, 20),]) self.game.set_policy_funding_for_player(p3, [(po2.id, 15),]) self.game.tick() self.assertEqual(p1.balance, 1499990) self.assertEqual(p2.balance, 1499980) self.assertEqual(p3.balance, 1499985) # p1.calc_goal_funded() # p2.calc_goal_funded() # p3.calc_goal_funded() transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/game/league_table", headers=headers) self.assertEqual(response.status_code, 200) expected = {'rows': [{'id': p2.id, 'name': p2.name, 'goal': 'G1', 'goal_total': '30.00', 'goal_contribution': '20.00',}, {'id': p3.id, 'name': p3.name, 'goal': 'G2', 'goal_total': '15.00', 'goal_contribution': '15.00',}, {'id': p1.id, 'name': p1.name, 'goal': 'G1', 'goal_total': '30.00', 'goal_contribution': '10.00',} ]} self.assertEqual(response.json, expected) def testAddPlayerToTable(self): p1 = self.game.create_player('Matt') table = self.game.create_table('Table A') self.assertNotIn(p1, table.players) transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/players/{}/table/{}".format(p1.id, table.id), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) self.assertIn(p1.id, table.players) def testAddPlayerToNonexistantTable(self): p1 = self.game.create_player('Matt') table = self.game.create_table('Table A') self.assertNotIn(p1, table.players) transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/players/{}/table/{}".format(p1.id, 'bogus'), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 404) self.assertNotIn(p1, table.players) def testAddNonexistantPlayerToTable(self): p1 = self.game.create_player('Matt') table = self.game.create_table('Table A') self.assertNotIn(p1, table.players) transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/players/{}/table/{}".format('bogus', table.id), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 404) self.assertNotIn(p1, table.players) def testRemovePlayerFromTable(self): p1 = self.game.create_player('Matt') table = self.game.create_table('Table A') self.game.add_player_to_table(p1.id, table.id) self.assertIn(p1.id, table.players) transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.delete("/v1/players/{}/table/{}".format(p1.id, table.id), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) self.assertNotIn(p1.id, tuple(table.players)) def testRemoveAllPlayersFromTable(self): p1 = self.game.create_player('Matt') p2 = self.game.create_player('Simon') table = self.game.create_table('Table A') self.game.add_player_to_table(p1.id, table.id) self.game.add_player_to_table(p2.id, table.id) self.assertIn(p1.id, table.players) self.assertIn(p2.id, table.players) transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/tables/{}/clear".format(table.id), headers=headers, content_type='application/json') self.assertEquals(response.status_code, 200) self.assertEquals(tuple(table.players), ()) self.assertEquals(p1.table_id, None) self.assertEquals(p2.table_id, None) def testSetMessages(self): transaction.commit() headers = {'X-API-KEY': self.api_key} data = {'budgets': [{'time': '2017-02-22T12:50:00', 'message': 'message 1', }, {'time': '2017-02-22T12:51:00Z', 'message': 'message 2', }], 'events': [{'time': '2017-02-22T13:50:00', 'message': 'message 3', }, {'time': '2017-02-22T13:51:00', 'message': 'message 4', }], } response = self.client.put("/v1/game/messages", headers=headers, data=json.dumps(data), content_type='application/json') self.assertEquals(response.status_code, 200) messages = self.game.get_messages() self.assertEqual(len(tuple(messages)), 4) def testGetMessages(self): t1 = datetime(2017,02,22,12,50) m1 = self.game.add_message(t1, "budget", "message 1") t2 = datetime(2017,02,22,13,50) m2 = self.game.add_message(t2, "event", "message 2") transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/game/messages", headers=headers) self.assertEqual(response.status_code, 200) expected = {'budgets': [{'time': '2017-02-22T12:50:00Z', 'message': 'message 1'} ], 'events': [{'time': '2017-02-22T13:50:00Z', 'message': 'message 2'}, ], } self.assertEqual(sorted(response.json.items()), sorted(expected.items())) def testClaimBudget(self): p1 = self.game.create_player('Matt', balance=1000, unclaimed_budget=1500000) transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/players/{}/claim_budget".format(p1.id), headers=headers, content_type='application/json') self.assertEqual(response.status_code, 200) self.assertEqual(p1.balance, 1500000) self.assertEqual(p1.unclaimed_budget, 0) # 2nd claim with no unclaimed budget should do no-op p1.balance = 1400000 transaction.commit() headers = {'X-USER-KEY': p1.token, 'X-API-KEY': self.api_key} response = self.client.put("/v1/players/{}/claim_budget".format(p1.id), headers=headers, content_type='application/json') self.assertEqual(response.status_code, 200) self.assertEqual(p1.balance, 1400000) self.assertEqual(p1.unclaimed_budget, 0) def testGetGameMetadata(self): transaction.commit() headers = {'X-API-KEY': self.api_key} response = self.client.get("/v1/game", headers=headers, content_type='application/json') self.assertEqual(response.status_code, 200) data = response.json self.assertEqual(data['game_year'], 2017) game_year_start = dateutil.parser.parse(data['game_year_start']).replace(tzinfo=None) self.assertLess((datetime.now() - game_year_start).seconds, 5) self.assertEqual(data['next_game_year'], 2018) next_game_year_start = dateutil.parser.parse(data['next_game_year_start']).replace(tzinfo=None) self.assertEqual(next_game_year_start - game_year_start, timedelta(minutes=75)) self.assertEqual(data['version'], APP_VERSION) self.assertEqual(data['total_players_inflow'], 0.0) self.assertEqual(data['budget_per_cycle'], 1500000.0) self.assertEqual(data['max_spend_per_tick'], 1000) def testMissingAPIKey(self): response = self.client.get("/v1/game", content_type='application/json') self.assertEqual(response.status_code, 401) def testBadAPIKey(self): headers = {'X-API-KEY': "boguskey"} response = self.client.get("/v1/game", headers=headers, content_type='application/json') self.assertEqual(response.status_code, 401) class NetworkTests(ModelTestCase): def testPlayerFunding(self): p1 = Player.new('Matt', balance=1000) p2 = Player.new('Simon', balance=0) n1 = Policy.new('Policy 1') n2 = Policy.new('Policy 2') p1.policies = {n1.id: 100, n2.id: 100} p2.policies = {n2.id: 200} policies = [n1, n2] players = [p1, p2] network = Network(policies, [], [], players) self.assertEqual(p1.balance, 1000) self.assertEqual(p2.balance, 0) network.fund_network() self.assertEqual(p1.balance, 800) self.assertEqual(p2.balance, 0) def testPolicyGoalPropogation(self): n1 = Policy.new('Policy 1', balance=100) g1 = Goal.new('Goal 1') e1 = Edge.new(n1, g1, 1.0) policies = [n1,] goals = [g1,] edges = [e1,] network = Network(policies, goals, edges, []) self.assertEqual(n1.balance, 100) self.assertEqual(g1.balance, 0) network.propagate() self.assertEqual(n1.balance, 99) self.assertEqual(g1.balance, 1) def testAddWalletToPolicy(self): po1 = Policy.new('Arms Embargo') p1 = Player.new('Matt') w1 = Wallet([(p1.id, 100)]) po1.wallet = w1 self.assertIn(p1.id, w1.todict()) self.assertEqual(po1.wallet, w1) def testNodeActivationFromPlayer(self): p1 = Player.new('Matt', balance=1000) po1 = Policy.new('Policy 1', activation=0.2) self.assertFalse(po1.active) self.assertAlmostEqual(po1.active_level, 0) p1.policies = {po1: 200.0} policies = [po1,] players = [p1,] network = Network(policies, [], [], players) self.assertFalse(po1.active) network.propagate() self.assertTrue(po1.active) if __name__ == '__main__': unittest.main()

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0.729346

0.687993

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0

0.058834

0.265425

94,637

2,630

137

35.98365

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null

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1

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1

0

null

0

1

0

5

1d7466097245fe0f589e9cc748e16317321ada97

48

py

Python

tests/conftest.py

jonra1993/rasa-sdk

2fe9e16a54e709166c7a1eba1d46bd6228e5ea6b

[ "Apache-2.0" ]

172

2019-05-14T19:34:55.000Z

2022-03-25T04:34:20.000Z

tests/conftest.py

jonra1993/rasa-sdk

2fe9e16a54e709166c7a1eba1d46bd6228e5ea6b

[ "Apache-2.0" ]

451

2019-05-13T15:29:38.000Z

2022-03-28T09:00:52.000Z

tests/conftest.py

jonra1993/rasa-sdk

2fe9e16a54e709166c7a1eba1d46bd6228e5ea6b

[ "Apache-2.0" ]

160

2019-05-16T05:05:48.000Z

2022-03-25T04:34:24.000Z

from sanic import Sanic Sanic.test_mode = True

12

23

0.791667

8

48

4.625

0.75

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0.166667

48

3

24

16

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null

0

1

0

1

0

5

1d86bc38917264012599c7189b3e1f9a968ddcaa

46

py

Python

scripts/example.py

fernandascovino/FGV_Criptography

9fbc9bb5f1bd4099538be112565e4ac3fffc62c1

[ "MIT" ]

1

2018-10-03T16:17:14.000Z

scripts/example.py

JoaoCarabetta/cities-science

ee430d75bd0abb04485926a6f30fb23992b3f598

[ "MIT" ]

null

scripts/example.py

JoaoCarabetta/cities-science

ee430d75bd0abb04485926a6f30fb23992b3f598

[ "MIT" ]

null

import scripts.other_module as om om.get_me()

15.333333

33

0.804348

9

46

3.888889

0.888889

0

0.108696

46

3

34

15.333333

0.853659

0

1

0

true

0

0.5

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0.5

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0

null

0

1

0

null

0

1

0

1

0

5

1d8ed043ae4252f0d1547399b9aa09ae4c55b2e4

82

py

Python

meinheld/__init__.py

IPetrik/meinheld

1253ad7edf2febaa0b644db3953650c70bc6c234

[ "BSD-3-Clause" ]

null

meinheld/__init__.py

IPetrik/meinheld

1253ad7edf2febaa0b644db3953650c70bc6c234

[ "BSD-3-Clause" ]

null

meinheld/__init__.py

IPetrik/meinheld

1253ad7edf2febaa0b644db3953650c70bc6c234

[ "BSD-3-Clause" ]

null

from meinheld.server import * from meinheld import mlogging __version__ = '1.0.1'

20.5

29

0.780488

12

82

5

0.666667

0.4

0

0.042254

0.134146

82

3

30

27.333333

0.802817

0

0.060976

0

1

0

false

0

0.666667

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0.666667

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

1d96409b70dfd29939216befd660664abf857a96

135

py

Python

src/fintrist_ds/__init__.py

tristanbrown/fintrist

38875e4f2c3ab4db31195c798c4262a2f51e4a22

[ "MIT" ]

null

src/fintrist_ds/__init__.py

tristanbrown/fintrist

38875e4f2c3ab4db31195c798c4262a2f51e4a22

[ "MIT" ]

null

src/fintrist_ds/__init__.py

tristanbrown/fintrist

38875e4f2c3ab4db31195c798c4262a2f51e4a22

[ "MIT" ]

1

2022-01-21T21:10:38.000Z

""" Import all of the processing functions. """ from .engine import * from .manage import * from .services import * from .viz import *

16.875

39

0.711111

18

135

5.333333

0.611111

0.3125

0

0.177778

135

7

40

19.285714

0.864865

0.288889

0

1

0

true

0

1

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1

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

1d96e779fc8d314da75088210a5bba32a3719d6f

43

py

Python

tests/tasks/secrets/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

8,633

2019-03-23T17:51:03.000Z

2022-03-31T22:17:42.000Z

tests/tasks/secrets/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

3,903

2019-03-23T19:11:21.000Z

2022-03-31T23:21:23.000Z

tests/tasks/secrets/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

937

2019-03-23T18:49:44.000Z

2022-03-31T21:45:13.000Z

import pytest pytest.importorskip("hvac")

10.75

27

0.790698

5

43

6.8

0.8

0

0.093023

43

3

28

14.333333

0.871795

0

0.093023

0

1

0

true

0

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null

0

1

0

null

0

1

0

1

0

5

1d9bc600cb86c39242efe33e2263b3b50c5a51bf

230

py

Python

apps/tg_bot/urls.py

VladimirLazor/Lohika

a36407feeb2e3ade4f8c689030f343d88ff47a92

[ "Apache-2.0" ]

null

apps/tg_bot/urls.py

VladimirLazor/Lohika

a36407feeb2e3ade4f8c689030f343d88ff47a92

[ "Apache-2.0" ]

9

2021-03-19T15:59:10.000Z

2022-03-12T00:57:56.000Z

apps/tg_bot/urls.py

VladimirLazor/Lohika

a36407feeb2e3ade4f8c689030f343d88ff47a92

[ "Apache-2.0" ]

null

from django.urls import path from django.views.decorators.csrf import csrf_exempt from config.settings import TG_WEB_HOOK_URL from .views import tg_web_hook urlpatterns = [ path(TG_WEB_HOOK_URL, csrf_exempt(tg_web_hook)), ]

23

52

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38

230

4.605263

0.421053

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0.205714

0.171429

0

0.121739

230

9

53

25.555556

0.866337

0

1

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false

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0.571429

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1da6ecd7cf81d6949311f2c3cbbf6ad20aecc35c

164

py

Python

deepa2/metrics/__init__.py

debatelab/deepa2

1a9e8c357d7e3924808c703ec9f4a6611a4b5f93

[ "Apache-2.0" ]

null

deepa2/metrics/__init__.py

debatelab/deepa2

1a9e8c357d7e3924808c703ec9f4a6611a4b5f93

[ "Apache-2.0" ]

null

deepa2/metrics/__init__.py

debatelab/deepa2

1a9e8c357d7e3924808c703ec9f4a6611a4b5f93

[ "Apache-2.0" ]

null

"""Classes for evaluating generated DeepA2 records""" # flake8: noqa # pylint: skip-file from deepa2.metrics.metric_handler import ( DA2PredictionEvaluator, )

20.5

53

0.762195

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164

6.888889

0.944444

0

0.028369

0.140244

164

7

54

23.428571

0.851064

0.481707

0

1

0

1

0

true

0

0.333333

0

0.333333

0

1

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null

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1

0

1

0

null

0

1

0

1

0

5

d52947496bda3409d71bc7bd9fc3a5aeeb797a0a

202

py

Python

locomotive/models/__init__.py

maxmouchet/sncf-cli

841a6a941630a3f460d566f50118881fff542034

[ "MIT" ]

22

2020-05-20T23:56:26.000Z

2022-01-29T01:13:29.000Z

locomotive/models/__init__.py

maxmouchet/sncf-cli

841a6a941630a3f460d566f50118881fff542034

[ "MIT" ]

8

2019-06-10T08:27:38.000Z

2020-01-30T14:12:10.000Z

locomotive/models/__init__.py

maxmouchet/sncf-cli

841a6a941630a3f460d566f50118881fff542034

[ "MIT" ]

null

""" Models shared between locomotive modules. """ from .board import BoardEntry from .journey import Journey, Proposal, Segment, Transport from .passenger import Passenger from .station import Station

22.444444

58

0.79703

24

202

6.708333

0.625

0

0.133663

202

8

59

25.25

0.92

0.20297

0

1

0

true

0.25

1

0

1

0

1

0

null

0

1

0

null

0

1

0

5

d56088b13e056734a3376fd9aad22a5e70b7c4da

8,223

py

Python

uos3/configUp/migrations/0001_initial.py

aliaksei135/telecommand-server

eb6f23f03ff75a18a5115f3038bb4d4192594627

[ "MIT" ]

null

uos3/configUp/migrations/0001_initial.py

aliaksei135/telecommand-server

eb6f23f03ff75a18a5115f3038bb4d4192594627

[ "MIT" ]

null

uos3/configUp/migrations/0001_initial.py

aliaksei135/telecommand-server

eb6f23f03ff75a18a5115f3038bb4d4192594627

[ "MIT" ]

1

2020-04-22T20:39:49.000Z

# Generated by Django 2.2.6 on 2019-11-01 18:25 import datetime import django.core.validators from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='config', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date_submitted', models.DateTimeField(auto_now_add=True)), ('date_modified', models.DateTimeField(auto_now=True)), ('user_submitted', models.CharField(default='uos3', editable=False, max_length=64)), ('confirmed_uplink', models.BooleanField(default=False, editable=False)), ('date_uplink', models.DateTimeField(blank=True, default=datetime.datetime(1970, 1, 1, 0, 0), editable=False)), ('tx_enable', models.BooleanField(choices=[(0, 'Off'), (1, 'On')], default=True)), ('tx_interval', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(255)])), ('tx_interval_downlink', models.IntegerField(choices=[(0, '0 ms'), (50, '500 ms'), (60, '600 ms'), (70, '700 ms'), (80, '800 ms'), (90, '900 ms'), (100, '1000 ms'), (150, '1500 ms'), (200, '2000 ms')])), ('tx_datarate', models.IntegerField(choices=[(0, '0.25 kbps'), (3, '0.5 kbps'), (6, '1 kbps'), (9, '3 kbps'), (12, '6 kbps')])), ('tx_power', models.IntegerField(choices=[(0, '10 mW'), (3, '50 mW'), (6, '100 mW'), (9, '200 mW'), (12, '300 mW')])), ('batt_overtemp', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(255)])), ('obc_overtemp', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(255)])), ('pa_overtemp', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(255)])), ('low_voltage_threshold', models.FloatField(validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator( 25.5)])), ('low_voltage_recovery', models.FloatField(validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator( 25.5)])), ('eps_health_acquisition_interval', models.PositiveIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(65535)])), ('check_health_acquisition_interval', models.PositiveIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(65535)])), ('imu_acquisition_interval', models.PositiveIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(65535)])), ('imu_sample_count', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(16)])), ('imu_sample_interval', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(10), django.core.validators.MaxValueValidator(2550)])), ('imu_gyro_bandwidth', models.IntegerField( choices=[(0, '5Hz'), (1, '10Hz'), (2, '20Hz'), (3, '41Hz'), (4, '92Hz'), (5, '184Hz'), (6, '250Hz'), (7, '3600Hz')])), ('imu_gyro_measurement_range', models.IntegerField(choices=[(0, '+250dps'), (1, '+500dps'), (2, '+1000dps'), (3, '+2000dps')])), ('gps_acquisition_interval', models.PositiveIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(65535)])), ('gps_sample_count', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(16)])), ('gps_sample_interval', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(10), django.core.validators.MaxValueValidator(2550)])), ('image_acquisition_profile', models.IntegerField(choices=[(0, '1600x1200'), (1, '640x480')])), ('power_rail_1', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=True)), ('power_rail_3', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=True)), ('power_rail_5', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=True)), ('power_rail_6', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=True)), ('imu_accel_enabled', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('imu_gyro_enabled', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('imu_magno_enabled', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('silent_flag', models.BooleanField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('time', models.BigIntegerField(validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(4294967295)])), ('operational_mode', models.IntegerField(choices=[(0, 'Deployment Phases'), (1, 'Nominal Operations'), (3, 'Safe Mode')])), ('self_test', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('reset_power_rail_1', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('reset_power_rail_2', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('reset_power_rail_3', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('reset_power_rail_4', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('reset_power_rail_5', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('reset_power_rail_6', models.IntegerField(choices=[(0, 'Off'), (1, 'On')], default=False)), ('telemetry_go_silent', models.PositiveSmallIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(32768)])), ('downlink_stop_time', models.BigIntegerField(validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator( 4294967295)])), ('image_acquisition_time', models.BigIntegerField( validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(4294967295)])), ], ), ]

75.440367

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0.548705

718

8,223

6.157382

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1

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1

0

1

0

null

0

5

d573e4185d520f3b0945c93a25dc8a1b391318cd

51

py

Python

unsplash_get/__init__.py

streanger/unsplash_get

9de91c973fb9c449db9795fdd83cae7843f6f1e8

[ "MIT" ]

3

2020-07-23T11:33:31.000Z

2020-08-31T23:06:56.000Z

unsplash_get/__init__.py

streanger/unsplash_get

9de91c973fb9c449db9795fdd83cae7843f6f1e8

[ "MIT" ]

null

unsplash_get/__init__.py

streanger/unsplash_get

9de91c973fb9c449db9795fdd83cae7843f6f1e8

[ "MIT" ]

null

from .unsplash_get import save_img, search, example

51

0.843137

8

51

5.125

1

0

0.098039

51

1

51

0.891304

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d57a504252f56e17f3bbc279ef28f03c57999728

45

py

Python

platform/core/polyaxon/libs/repos/git/exceptions.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/libs/repos/git/exceptions.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/libs/repos/git/exceptions.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

class GitCloneException(Exception): pass

15

35

0.777778

4

45

8.75

1

0

0.155556

45

2

36

22.5

0.921053

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

63483a1b74f7107fb533b7c581ef3d45942dcd1a

310

py

Python

src/dolphindb/month.py

premprabhat/api-python-cpp

8543c91ba6b0ea26e07dd27e9a0f6a8654384a03

[ "Apache-2.0" ]

1

2021-08-28T04:02:12.000Z

src/dolphindb/month.py

premprabhat/api-python-cpp

8543c91ba6b0ea26e07dd27e9a0f6a8654384a03

[ "Apache-2.0" ]

null

src/dolphindb/month.py

premprabhat/api-python-cpp

8543c91ba6b0ea26e07dd27e9a0f6a8654384a03

[ "Apache-2.0" ]

1

2022-01-27T11:11:12.000Z

class month(object): def __init__(self, year=None, month = None): self.__year = year self.__month = month def __str__(self): if self.__month > 9: return str(self.__year) + '-' + str(self.__month) + 'M' return str(self.__year) + '-0' + str(self.__month) + 'M'

38.75

67

0.564516

40

310

3.825

0.35

0.228758

0.169935

0.222222

0

0.008969

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310

8

68

38.75

0.67713

0

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1

0.25

false

0

0.625

0

null

1

0

1

0

1

0

null

0

1

0

1

0

5

6349f6b9df91ef831b4fab9e98c2dfc2a30fb406

50

py

Python

jellyConnect/__init_.py

jay4842/jellyDatabaseConnector

6d5528db245e25b2d4ef19148337635596703145

[ "MIT" ]

null

jellyConnect/__init_.py

jay4842/jellyDatabaseConnector

6d5528db245e25b2d4ef19148337635596703145

[ "MIT" ]

null

jellyConnect/__init_.py

jay4842/jellyDatabaseConnector

6d5528db245e25b2d4ef19148337635596703145

[ "MIT" ]

null

from connection import * from queryEngine import *

25

0.82

6

50

6.833333

0.666667

0

0.14

50

2

25

0.953488

0

1

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true

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

63579a88721e0d3e200a379d5e13ea6f5c821b4d

27

py

Python

mp_sort/virtenv/lib/python3.6/site-packages/transcrypt/development/automated_tests/transcrypt/div_issues/issue55/sub1.py

ang-jason/fip_powerx_mini_projects-foxtrot

37e3671969b516369e2d1c7cab5890b75c489f56

[ "MIT" ]

2,200

2016-10-12T16:47:13.000Z

2022-03-30T16:40:35.000Z

mp_sort/virtenv/lib/python3.6/site-packages/transcrypt/development/automated_tests/transcrypt/div_issues/issue55/sub1.py

ang-jason/fip_powerx_mini_projects-foxtrot

37e3671969b516369e2d1c7cab5890b75c489f56

[ "MIT" ]

672

2016-10-12T16:36:48.000Z

2022-03-25T00:57:04.000Z

mp_sort/virtenv/lib/python3.6/site-packages/transcrypt/development/automated_tests/transcrypt/div_issues/issue55/sub1.py

ang-jason/fip_powerx_mini_projects-foxtrot

37e3671969b516369e2d1c7cab5890b75c489f56

[ "MIT" ]

230

2016-10-20T14:31:40.000Z

2022-03-16T15:57:15.000Z

p = 'p' q = 'q' r = 'r'

6.75

8

0.222222

6

27

1

0.5

0

0.444444

27

3

9

0.4

0

0.125

0

1

0

false

0

1

null

0

1

0

1

0

null

0

5

6363782e48bd5eaedc0c8edeecafa798bb0dc04d

94

py

Python

heronpy/connectors/textfiles/__init__.py

ajorgensen/heron

6430c51a4a6030e93018e0ed40e5936a64317636

[ "Apache-2.0" ]

2

2016-07-04T07:10:31.000Z

2018-03-28T16:59:02.000Z

heronpy/connectors/textfiles/__init__.py

ajorgensen/heron

6430c51a4a6030e93018e0ed40e5936a64317636

[ "Apache-2.0" ]

null

heronpy/connectors/textfiles/__init__.py

ajorgensen/heron

6430c51a4a6030e93018e0ed40e5936a64317636

[ "Apache-2.0" ]

1

2017-06-05T17:55:45.000Z

'''module for textfiles connectors''' __import__('pkg_resources').declare_namespace(__name__)

31.333333

55

0.808511

10

94

6.6

1

0

0.053191

94

2

56

47

0.741573

0.329787

0

0.22807

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

63872bec7ad482c58ec938d8ed3b9e283f7be51a

135

py

Python

core/__init__.py

david-wm-sanders/oeo

1ce26ddcd83d957183eefaae508c2a6800d47e94

[ "MIT" ]

1

2019-07-28T04:40:16.000Z

core/__init__.py

david-wm-sanders/oeo

1ce26ddcd83d957183eefaae508c2a6800d47e94

[ "MIT" ]

null

core/__init__.py

david-wm-sanders/oeo

1ce26ddcd83d957183eefaae508c2a6800d47e94

[ "MIT" ]

null

from .oeo import Oeo from .element import Element from .stats import Stats from .move import Move, MoveCategory from .item import Item

22.5

36

0.8

21

135

5.142857

0.380952

0

0.155556

135

5

37

27

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

638fa7d83e983c9f58b992517e42b211927ac9d7

101

py

Python

smaland/totp.py

emilwareus/smaland

b455199b072c84bcf6d576c92fc18004e0cbe60b

[ "MIT" ]

3

2020-03-15T21:07:48.000Z

2021-03-15T20:37:39.000Z

smaland/totp.py

emilwareus/smaland

b455199b072c84bcf6d576c92fc18004e0cbe60b

[ "MIT" ]

null

smaland/totp.py

emilwareus/smaland

b455199b072c84bcf6d576c92fc18004e0cbe60b

[ "MIT" ]

1

2020-04-05T08:17:14.000Z

import os import pyotp def totp(secret): totp = pyotp.TOTP(secret) return totp.now()

10.1

29

0.633663

14

101

4.571429

0.571429

0.3125

0

0.267327

101

9

30

11.222222

0.864865

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

892c1c86b81f563a72783ae080f4de286ab23459

100

py

Python

gym_invaders/ai_invader/model/__init__.py

Jh123x/Orbital

6f8f2da4fd26ef1d77c0c6183230c3a5e6bf0bb9

[ "MIT" ]

4

2020-05-15T11:17:09.000Z

2020-06-30T01:11:41.000Z

gym_invaders/ai_invader/model/__init__.py

Jh123x/Orbital

6f8f2da4fd26ef1d77c0c6183230c3a5e6bf0bb9

[ "MIT" ]

10

2020-05-16T10:45:32.000Z

2020-07-27T07:17:02.000Z

gym_invaders/ai_invader/model/__init__.py

Jh123x/Orbital

6f8f2da4fd26ef1d77c0c6183230c3a5e6bf0bb9

[ "MIT" ]

null

from .basemodel import BaseModel from .dqncnn import DQNCNN from .evolutionary import EvolutionaryAI

33.333333

40

0.86

12

100

7.166667

0.5

0

0.11

100

3

40

33.333333

0.966292

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

89993688fedbe2f0628f63817147515cb76bd3bd

165

py

Python

rick_db/__init__.py

oddbit-project/rick_db

02910c071f3ad58fdd88b2a27bfdd2bc61497d42

[ "MIT" ]

null

rick_db/__init__.py

oddbit-project/rick_db

02910c071f3ad58fdd88b2a27bfdd2bc61497d42

[ "MIT" ]

null

rick_db/__init__.py

oddbit-project/rick_db

02910c071f3ad58fdd88b2a27bfdd2bc61497d42

[ "MIT" ]

null

from .version import get_version from .mapper import Record, fieldmapper, RecordError from .repository import Repository, RepositoryError from .dbgrid import DbGrid

33

52

0.842424

20

165

6.9

0.55

0

0.115152

165

4

53

41.25

0.945205

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

899e83412ff2fa1525c82aac7177cf47f340579c

295

py

Python

deepr/config/__init__.py

Mbompr/deepr

1fb28e15aeeac6ef2d8e5b678feb380f2b1951f2

[ "Apache-2.0" ]

null

deepr/config/__init__.py

Mbompr/deepr

1fb28e15aeeac6ef2d8e5b678feb380f2b1951f2

[ "Apache-2.0" ]

null

deepr/config/__init__.py

Mbompr/deepr

1fb28e15aeeac6ef2d8e5b678feb380f2b1951f2

[ "Apache-2.0" ]

null

# pylint: disable=unused-import,missing-docstring from deepr.config.base import parse_config, from_config from deepr.config.macros import ismacro, fill_macros, find_macro_params, assert_no_macros from deepr.config.references import isreference, fill_references import deepr.config.experimental

42.142857

89

0.857627

41

295

5.97561

0.536585

0.179592

0.183673

0

0.077966

295

6

90

49.166667

0.900735

0.159322

0

0.25

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

89b1f8a6a9a4624639e3d660ae0e8c94693d43c4

117

py

Python

loopsAndFunctions/function.py

Oritsegbubemi/python-backend

bfd2d9c5ed13829317feb64edecf4bf17fc5f937

[ "Apache-2.0" ]

null

loopsAndFunctions/function.py

Oritsegbubemi/python-backend

bfd2d9c5ed13829317feb64edecf4bf17fc5f937

[ "Apache-2.0" ]

null

loopsAndFunctions/function.py

Oritsegbubemi/python-backend

bfd2d9c5ed13829317feb64edecf4bf17fc5f937

[ "Apache-2.0" ]

null

def textRepeater(name): return name + ' called something inside a function \n' print(textRepeater('Seyi') * 4)

19.5

58

0.700855

15

117

5.466667

0.866667

0

0.010417

0.179487

117

5

59

23.4

0.84375

0

0.358974

0

1

0.333333

false

0

0.333333

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

986fc1135486d171a1e649556cb3989527131ad3

133

py

Python

tests/regularizedtau/__init__.py

TukisTukis/linvpy

471fb8b456af3bf22ced5e8fe1ec0fbbad8a08c8

[ "BSD-2-Clause" ]

16

2016-10-18T03:36:47.000Z

2020-03-02T08:01:21.000Z

tests/regularizedtau/__init__.py

TukisTukis/linvpy

471fb8b456af3bf22ced5e8fe1ec0fbbad8a08c8

[ "BSD-2-Clause" ]

3

2016-10-18T03:37:19.000Z

2019-01-24T13:02:28.000Z

tests/regularizedtau/__init__.py

TukisTukis/linvpy

471fb8b456af3bf22ced5e8fe1ec0fbbad8a08c8

[ "BSD-2-Clause" ]

4

2017-04-07T07:03:55.000Z

2020-07-17T03:40:10.000Z

# __all__ = ['linvpy_latest', 'toolboxutilities_latest', 'toolboxinverse_latest'] # in your __init__.py from regularizedtau import *

33.25

81

0.781955

14

133

6.642857

0.857143

0

0.105263

133

4

82

33.25

0.781513

0.744361

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9882fd7a26e84caf45194e8eb71a993e438a8861

149

py

Python

abm/abm/agents/__init__.py

giacrava/sbp-adoption-abm

18f683caac8aa0efecfcce18598305b1670b6dba

[ "MIT" ]

null

abm/abm/agents/__init__.py

giacrava/sbp-adoption-abm

18f683caac8aa0efecfcce18598305b1670b6dba

[ "MIT" ]

null

abm/abm/agents/__init__.py

giacrava/sbp-adoption-abm

18f683caac8aa0efecfcce18598305b1670b6dba

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .municipality import Municipality from .government import Government from .environment import MunicipalityEnvironment

21.285714

48

0.791946

15

149

7.866667

0.6

0

0.007692

0.127517

149

6

49

24.833333

0.9

0.14094

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

989c00ae5a2652cb4f51a767565665fceecf4f71

105

py

Python

nmmis/contrib/place/admin.py

mgrsantox/nmmis

77f5bc0907c4fa7babe177a07ea144c2ac8b2eca

[ "BSD-2-Clause" ]

null

nmmis/contrib/place/admin.py

mgrsantox/nmmis

77f5bc0907c4fa7babe177a07ea144c2ac8b2eca

[ "BSD-2-Clause" ]

null

nmmis/contrib/place/admin.py

mgrsantox/nmmis

77f5bc0907c4fa7babe177a07ea144c2ac8b2eca

[ "BSD-2-Clause" ]

null

from django.contrib import admin from nmmis.contrib.place.models import Place admin.site.register(Place)

26.25

44

0.838095

16

105

5.5

0.625

0

0.085714

105

4

45

26.25

0.916667

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

98ae7cc0bf9eb0897447c4658aa679311159c417

13,723

py

Python

mpitest/test_par_doe.py

naylor-b/OpenMDAO1

49d82f6601b33db9bdcf7d146d030d55e3b62ef4

[ "Apache-2.0" ]

17

2018-01-11T20:13:59.000Z

2022-03-22T03:46:05.000Z

mpitest/test_par_doe.py

naylor-b/OpenMDAO1

49d82f6601b33db9bdcf7d146d030d55e3b62ef4

[ "Apache-2.0" ]

6

2017-10-19T23:14:14.000Z

2020-11-22T17:30:57.000Z

mpitest/test_par_doe.py

naylor-b/OpenMDAO1

49d82f6601b33db9bdcf7d146d030d55e3b62ef4

[ "Apache-2.0" ]

10

2018-04-12T22:13:33.000Z

2020-05-07T10:02:59.000Z

#!/usr/bin/env python """ Running DOE experiments (in parallel)""" from __future__ import print_function import sys import time import traceback import numpy as np import unittest from openmdao.api import IndepVarComp, Component, Group, Problem, \ FullFactorialDriver, AnalysisError from openmdao.test.exec_comp_for_test import ExecComp4Test from openmdao.core.mpi_wrap import MPI, debug, MultiProcFailCheck from openmdao.test.mpi_util import MPITestCase if MPI: # pragma: no cover # if you called this script with 'mpirun', then use the petsc data passing from openmdao.core.petsc_impl import PetscImpl as impl else: # if you didn't use `mpirun`, then use the numpy data passing from openmdao.api import BasicImpl as impl class ParallelDOETestCase(MPITestCase): N_PROCS = 4 def test_doe(self): problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) root.add('mult', ExecComp4Test("y=c*x")) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=self.N_PROCS) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.setup(check=False) problem.run() num_cases = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) num_cases += 1 if MPI: lens = problem.comm.allgather(num_cases) self.assertEqual(sum(lens), num_levels) else: self.assertEqual(num_cases, num_levels) def test_doe_fail_hard(self): problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) if MPI: fail_rank = 1 # raise exception from this rank npardoe = self.N_PROCS else: fail_rank = 0 npardoe = 1 root.add('mult', ExecComp4Test("y=c*x", fail_rank=fail_rank, fails=[3], fail_hard=True)) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=npardoe) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.setup(check=False) try: problem.run() except Exception as err: with MultiProcFailCheck(self.comm): if self.comm.rank == fail_rank: self.assertEqual(str(err), "OMG, a critical error!") else: self.assertEqual(str(err), "an exception was raised by another MPI process.") else: if MPI: self.fail('exception expected') nsucc = 0 nfail = 0 num_cases = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) num_cases += 1 if success: self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) nsucc += 1 else: nfail += 1 self.assertEqual(nfail, 0) # hard errors aren't saved if MPI: lens = problem.comm.allgather(num_cases) self.assertEqual(sum(lens), 12) else: self.assertTrue(num_cases < num_levels) def test_doe_fail_analysis_error(self): problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) if MPI: fail_rank = 1 # raise exception from this rank npardoe = self.N_PROCS else: fail_rank = 0 npardoe = 1 root.add('mult', ExecComp4Test("y=c*x", fail_rank=fail_rank, fails=[3,4])) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=npardoe) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.driver.add_response('mult.case_rank') problem.setup(check=False) problem.run() fails_in_fail_rank = 0 nfails = 0 num_cases = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) num_cases += 1 if success: self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) else: nfails += 1 if responses['mult.case_rank'] == fail_rank: fails_in_fail_rank += 1 if MPI: lens = problem.comm.allgather(num_cases) self.assertEqual(sum(lens), 25) if self.comm.rank == 0: self.assertEqual(fails_in_fail_rank, 2) self.assertEqual(nfails, 2) else: self.assertEqual(num_cases, 25) self.assertEqual(nfails, 2) class LBParallelDOETestCase(MPITestCase): N_PROCS = 5 def test_load_balanced_doe(self): problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) root.add('mult', ExecComp4Test("y=c*x")) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=self.N_PROCS, load_balance=True) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.setup(check=False) problem.run() num_cases = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) num_cases += 1 if success: self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) if MPI: lens = problem.comm.allgather(num_cases) self.assertEqual(sum(lens), num_levels) else: self.assertEqual(num_cases, num_levels) def test_load_balanced_doe_crit_fail(self): if MPI is None: raise unittest.SkipTest("Can't run this test (even in serial) without mpi4py and petsc4py") problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) fail_rank = 1 # raise exception from this rank root.add('mult', ExecComp4Test("y=c*x", fail_rank=fail_rank, fails=[1], fail_hard=True)) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=self.N_PROCS, load_balance=True) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.setup(check=False) problem.run() nsucc = 0 nfail = 0 num_cases = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) num_cases += 1 if success: self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) nsucc += 1 else: nfail += 1 # in load balanced mode, we can't really predict how many cases # will actually run before we terminate, so just check to see if # we at least have less than the full set we'd have if nothing # went wrong. if MPI: lens = problem.comm.allgather(num_cases) self.assertTrue(sum(lens) < num_levels, "Cases run (%d) should be less than total cases (%d)" % (sum(lens), num_levels)) else: self.assertTrue(num_cases < num_levels) self.assertEqual(nfail, 0) # hard failure cases are not saved def test_load_balanced_doe_soft_fail(self): problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) if MPI: fail_rank = 1 # raise exception from this rank else: fail_rank = 0 fail_idxs = [3,4,5] root.add('mult', ExecComp4Test("y=c*x", fail_rank=fail_rank, fails=fail_idxs)) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=self.N_PROCS, load_balance=True) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.driver.add_response('mult.case_rank') problem.setup(check=False) problem.run() nfails = 0 num_cases = 0 cases_in_fail_rank = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) num_cases += 1 if success: self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) else: nfails += 1 if responses['mult.case_rank'] == fail_rank: cases_in_fail_rank += 1 if MPI and self.comm.rank > 0: self.assertEqual(num_cases, 0) else: self.assertEqual(num_cases, num_levels) if self.comm.rank == 0: # FIXME: for now, all cases get sent back to the master process (0), # even when recorders are parallel. # there's a chance that the fail rank didn't get enough # cases to actually fail 3 times, so we need to check # how many cases it actually got. if cases_in_fail_rank > 5: self.assertEqual(nfails, 3) elif cases_in_fail_rank > 4: self.assertEqual(nfails, 2) elif cases_in_fail_rank > 3: self.assertEqual(nfails, 1) else: self.assertEqual(nfails, 0) else: self.assertEqual(nfails, 0) class LBParallelDOETestCase6(MPITestCase): N_PROCS = 6 def test_load_balanced_doe(self): problem = Problem(impl=impl) root = problem.root = Group() root.add('indep_var', IndepVarComp('x', val=1.0)) root.add('const', IndepVarComp('c', val=2.0)) root.add('mult', ExecComp4Test("y=c*x")) root.connect('indep_var.x', 'mult.x') root.connect('const.c', 'mult.c') num_levels = 25 problem.driver = FullFactorialDriver(num_levels=num_levels, num_par_doe=self.N_PROCS, load_balance=True) problem.driver.options['auto_add_response'] = True problem.driver.add_desvar('indep_var.x', lower=1.0, upper=float(num_levels)) problem.driver.add_objective('mult.y') problem.setup(check=False) problem.run() num_cases = 0 for responses, success, msg in problem.driver.get_responses(): responses = dict(responses) num_cases += 1 self.assertEqual(responses['indep_var.x']*2.0, responses['mult.y']) if MPI: lens = problem.comm.allgather(num_cases) self.assertEqual(sum(lens), num_levels) else: self.assertEqual(num_cases, num_levels) if __name__ == '__main__': from openmdao.test.mpi_util import mpirun_tests mpirun_tests()

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review_request/admin.py

Portfolio-APPS/web-app

57dc3243fc17d1429f30b9337e2633197505671c

[ "MIT" ]

4

2019-10-09T19:12:46.000Z

2021-07-10T10:59:33.000Z

review_request/admin.py

Portfolio-APPS/web-app

57dc3243fc17d1429f30b9337e2633197505671c

[ "MIT" ]

7

2020-06-05T18:11:24.000Z

2022-03-11T23:20:15.000Z

review_request/admin.py

Portfolio-APPS/web-app

57dc3243fc17d1429f30b9337e2633197505671c

[ "MIT" ]

1

2018-11-19T17:07:38.000Z

from django.contrib import admin from .models import ReviewRequest # Register your models here. admin.site.register(ReviewRequest)

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