xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

ea853d9df1b2c8f928dab0557944513a962791eb

968

py

Python

cmdb/hosts/models.py

fox0014/cmdb

ef14411b6d637bb73a532f48409eb0f853367c34

[ "Apache-2.0" ]

null

cmdb/hosts/models.py

fox0014/cmdb

ef14411b6d637bb73a532f48409eb0f853367c34

[ "Apache-2.0" ]

null

cmdb/hosts/models.py

fox0014/cmdb

ef14411b6d637bb73a532f48409eb0f853367c34

[ "Apache-2.0" ]

null

# This is an auto-generated Django model module. # You'll have to do the following manually to clean this up: # * Rearrange models' order # * Make sure each model has one field with primary_key=True # * Make sure each ForeignKey and OneToOneField has `on_delete` set to the desired behavior # * Remove `managed = False` lines if you wish to allow Django to create, modify, and delete the table # Feel free to rename the models, but don't rename db_table values or field names. from django.db import models class Asset(models.Model): id = models.CharField(max_length=32, primary_key=True) dc_id = models.CharField(max_length=32) hard_type = models.IntegerField() hard_name = models.CharField(max_length=100, blank=True, null=True) hard_info = models.CharField(max_length=255, blank=True, null=True) asset_tag = models.CharField(max_length=100, blank=True, null=True) class Meta: managed = False db_table = 'asset'

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ea9d23fb0727c65213a97bc6781c11cd341d5ff6

290

py

Python

utils/utils.py

miltonbd/mcs_2018_adversarial_attack

01af584fdf1149ee5a661f340aff7e57cb7683a8

[ "MIT" ]

14

2018-06-07T02:51:37.000Z

2021-08-05T15:04:57.000Z

utils/utils.py

Sunshine352/mcs_2018_adversarial_attack

01af584fdf1149ee5a661f340aff7e57cb7683a8

[ "MIT" ]

null

utils/utils.py

Sunshine352/mcs_2018_adversarial_attack

01af584fdf1149ee5a661f340aff7e57cb7683a8

[ "MIT" ]

6

2018-10-29T08:52:48.000Z

2021-08-20T07:28:52.000Z

from skimage.measure import compare_ssim import numpy as np def get_ssim(original_img,changed_img): ssim = compare_ssim(np.array(original_img, dtype=np.float32), np.array(changed_img, dtype=np.float32), multichannel=True) return ssim

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3

ea9d828ea401d23a1e6f09a77e26233068f7c808

401

py

Python

paderbox/visualization/__init__.py

JanekEbb/paderbox

7cd3bf92380e05ec856936d21a64d0a8a3ff0fca

[ "MIT" ]

25

2019-12-21T21:10:08.000Z

2022-02-04T10:40:19.000Z

paderbox/visualization/__init__.py

JanekEbb/paderbox

7cd3bf92380e05ec856936d21a64d0a8a3ff0fca

[ "MIT" ]

32

2019-12-21T21:48:24.000Z

2022-03-31T08:20:39.000Z

paderbox/visualization/__init__.py

JanekEbb/paderbox

7cd3bf92380e05ec856936d21a64d0a8a3ff0fca

[ "MIT" ]

254

2019-12-16T08:15:08.000Z

2021-11-26T12:41:12.000Z

from . import matplotlib_fix from . import ipynb from . import colormap from . import plot from .context_manager import LatexContextManager from .context_manager import figure_context from .context_manager import axes_context from .module_facet_grid import facet_grid from .module_facet_grid import facet_grid_zero_space_time_frequency_plot from .plot import time_series from .display_pdf import PDF

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1

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3

576f120e7e23c80435f37e9dbd6835143645731a

135

py

Python

algorithms/build_max_heap.py

jlovoi/DS-and-Algorithms

c832e730cb343ff31c084d1bd474060cd55c29fd

[ "MIT" ]

null

algorithms/build_max_heap.py

jlovoi/DS-and-Algorithms

c832e730cb343ff31c084d1bd474060cd55c29fd

[ "MIT" ]

null

algorithms/build_max_heap.py

jlovoi/DS-and-Algorithms

c832e730cb343ff31c084d1bd474060cd55c29fd

[ "MIT" ]

null

from . import max_heapify as heapify def build(arr): for i in range(int(len(arr)/2), -1, -1): heapify.heapify(arr, i) return arr

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null

0

1

0

3

5789ceecf6078ad26940ac74089e86e3e6cad0c0

946

py

Python

uwb/map/noise_map.py

freiberg-roman/uwb-proto

effda911b5571d2abd29ff0e8a696e279d482e8d

[ "MIT" ]

null

uwb/map/noise_map.py

freiberg-roman/uwb-proto

effda911b5571d2abd29ff0e8a696e279d482e8d

[ "MIT" ]

null

uwb/map/noise_map.py

freiberg-roman/uwb-proto

effda911b5571d2abd29ff0e8a696e279d482e8d

[ "MIT" ]

null

import numpy as np from uwb.generator import BaseGenerator class NoiseMap: """Base class for noise maps Attributes: generator: measurement that can be accessed by an iterator. """ def __init__(self, generator: BaseGenerator): """Initializes the estimation of the parameters.""" self.generator = generator def get_params(self, coordinates: np.array): """Returns list of lists with parameter estimates for the given coordinates. The return value is dependent on the underlying model for the noise map. """ pass def conditioned_probability(self, z, particles): """Computes conditioned probabilities p(z|x) Computes conditioned probabilities where x is given from the map for each particle. """ pass def sample_from(self, coordinates): """Samples from distributions of the map for given coordinates.""" pass

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5799d1acc17c6639ba67112f8559728e2595ee27

143

py

Python

example/paywall/apps.py

prog32/django-getpaid

f834bfefe7fc9387e173edf0b2be91b134dfa47d

[ "MIT" ]

220

2018-07-25T10:56:29.000Z

2022-03-18T13:56:11.000Z

example/paywall/apps.py

prog32/django-getpaid

f834bfefe7fc9387e173edf0b2be91b134dfa47d

[ "MIT" ]

29

2018-07-24T15:46:24.000Z

2021-07-01T08:38:59.000Z

example/paywall/apps.py

prog32/django-getpaid

f834bfefe7fc9387e173edf0b2be91b134dfa47d

[ "MIT" ]

52

2018-07-28T19:01:18.000Z

2022-03-12T14:50:33.000Z

from django.apps import AppConfig class Config(AppConfig): name = "paywall" verbose_name = "paywall simulator" label = "paywall"

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57a20a04cb77e8bf984162f33b7d270935aa02d4

45

py

Python

bot_tokens.py

vetu11/QuienVienebot

865ee647c5a4ea4399a4e4a044874603a994acb3

[ "MIT" ]

2

2019-06-14T11:57:11.000Z

2019-10-20T16:12:00.000Z

bot_tokens.py

vetu11/TelegramBotTemplate

c101cdaf18a472ed0c9fc7d53ad86c3e1ba2ec03

[ "MIT" ]

null

bot_tokens.py

vetu11/TelegramBotTemplate

c101cdaf18a472ed0c9fc7d53ad86c3e1ba2ec03

[ "MIT" ]

null

BOT_TOKEN = "" PAYMENT_PROVIDER_TOKEN = None

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null

0

3

57c0f542701e3d2dbbc80bab90a66090e1da0e2a

641

py

Python

server/configuration/__init__.py

kostas-vl/audiohub

af465f400ed46185cb35eaf26691ab87fbab76f3

[ "MIT" ]

null

server/configuration/__init__.py

kostas-vl/audiohub

af465f400ed46185cb35eaf26691ab87fbab76f3

[ "MIT" ]

1

2022-03-02T07:46:56.000Z

server/configuration/__init__.py

kostas-vl/audiohub

af465f400ed46185cb35eaf26691ab87fbab76f3

[ "MIT" ]

null

""" Initialization module. """ __all__ = [ 'BaseSettings', 'BackendSettings', 'DatabaseSettings', 'ServerSettings', 'YoutubeSettings', 'ApplicationSettings', 'APP_SETTINGS_INSTANCE' ] from configuration.base_settings import BaseSettings from configuration.backend_settings import BackendSettings from configuration.database_settings import DatabaseSettings from configuration.server_settings import ServerSettings from configuration.youtube_settings import YoutubeSettings from configuration.application_settings import ApplicationSettings, \ APP_SETTINGS_INSTANCE

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3

57e5995bca265bef305e6e8119fea8500dffd092

3,600

py

Python

test/test_parse_dunder_version.py

matthewdeanmartin/jiggle_version

7bb82b75321e007f9e9e6d52a7bc569a5fe41052

[ "MIT" ]

1

2019-02-23T16:13:56.000Z

test/test_parse_dunder_version.py

matthewdeanmartin/jiggle_version

7bb82b75321e007f9e9e6d52a7bc569a5fe41052

[ "MIT" ]

17

2018-07-14T17:04:49.000Z

2022-03-24T15:59:11.000Z

test/test_parse_dunder_version.py

matthewdeanmartin/jiggle_version

7bb82b75321e007f9e9e6d52a7bc569a5fe41052

[ "MIT" ]

1

2019-12-01T02:18:36.000Z

""" Is that a version string, a tuple or a int or float? 'Cause in the wild people use all of those. """ from jiggle_version.parse_dunder_version import find_in_line, simplify_line def test_comments(): value = 'version="7.8.6.16.dev0",#JiggleVersionWasHere' result = simplify_line(value, keep_comma=True) assert result == 'version="7.8.6.16.dev0",', result def test_post_comma(): value = 'version = "1.3.2", # Jiggle Version Was Here' result = simplify_line(value, keep_comma=True) assert "," in result, result def test_simplify_pre_comma(): value = ',version = "1.3.2" # Jiggle Version Was Here' result = simplify_line(value, keep_comma=True) assert "," in result, result def test_simplify_both_comma(): value = ',version = "1.3.2", # Jiggle Version Was Here' result = simplify_line(value, keep_comma=True) assert "," in result, result def test_regression_scenarios_current(): value = "__version__ = '''0.0.0'''" result, _ = find_in_line(value) assert result == "0.0.0", result value = '__version__ = """0.0.0"""' result, _ = find_in_line(value) assert result == "0.0.0", result def test_regression_scenarios_old(): value = "__version__ = '%(version)s%(tag)s%(build)s' % {" result, _ = find_in_line(value) assert result is None, result result, _ = find_in_line( '__version__ = ".".join(map(str, version_info[:3])) + ("-"+version_info[3] if' ) assert result is None, result result, _ = find_in_line("VERSION = (1, 1, 0, 'rc1')") assert result == "1.1.0.rc1", result # passing result, _ = find_in_line("VERSION = (1, 0, 1)") assert result == "1.0.1", result result, _ = find_in_line( " version = re.search(r'^__version__\s*=\s*['\"]([^'\"]*)['\"]'," ) assert result is None, result result, _ = find_in_line("version = re.search(r'^__version__\s*=\s*[") assert result is None, result def test_common_scenarios(): # single quotes result, _ = find_in_line("__version__ = '1.2.3'") assert result == "1.2.3", result # double quotes result, _ = find_in_line('__version__ = "1.2.3"') assert result == "1.2.3", result # whitespace result, _ = find_in_line(' __version__ = "1.2.3" ') assert result == "1.2.3", result # tabs result, _ = find_in_line(' \t __version__ \t = "1.2.3" \t ') assert result == "1.2.3", result # no whitespace result, _ = find_in_line('__version__="1.2.3"') assert result == "1.2.3", result # comments result, _ = find_in_line('__version__="1.2.3" # this is my version') assert result == "1.2.3", result def test_that_is_a_tuple(): # single quotes result, _ = find_in_line("__version__ = (1, 2, 3)") assert result == "1.2.3", result result, _ = find_in_line("__version__ = (1, 2,)") assert result == "1.2", result result, _ = find_in_line("__version__=(1, 2,)") assert result == "1.2", result result, _ = find_in_line("__version__=(1, 2,) # comments") assert result == "1.2", result def test_that_is_a_int_or_float_b(): # single quotes result, _ = find_in_line("__version__ = 1.2") assert result == "1.2", result result, _ = find_in_line("__version__ = 1") assert result == "1", result result, _ = find_in_line("__version__=2") assert result == "2", result result, _ = find_in_line("__version__=2 # comments") assert result == "2", result result, _ = find_in_line("__version__=2 # __version__ = 3") assert result == "2", result

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57f7173aa98cee4b5690355f6593fc2cdccd7e29

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py

Python

nnabla_rl/builders/__init__.py

sony/nnabla-rl

6a9a91ac5363b8611e0c9f736590729952a8d460

[ "Apache-2.0" ]

75

2021-06-14T02:35:19.000Z

2022-03-23T04:30:24.000Z

nnabla_rl/builders/__init__.py

sony/nnabla-rl

6a9a91ac5363b8611e0c9f736590729952a8d460

[ "Apache-2.0" ]

2

2021-12-17T08:46:54.000Z

2022-03-15T02:04:53.000Z

nnabla_rl/builders/__init__.py

sony/nnabla-rl

6a9a91ac5363b8611e0c9f736590729952a8d460

[ "Apache-2.0" ]

3

2021-06-15T13:32:57.000Z

2022-03-25T16:53:14.000Z

# Copyright 2021 Sony Corporation. # Copyright 2021 Sony Group Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from nnabla_rl.builders.explorer_builder import ExplorerBuilder # noqa from nnabla_rl.builders.model_builder import ModelBuilder # noqa from nnabla_rl.builders.preprocessor_builder import PreprocessorBuilder # noqa from nnabla_rl.builders.replay_buffer_builder import ReplayBufferBuilder # noqa from nnabla_rl.builders.solver_builder import SolverBuilder # noqa

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17a8f96153f9fcd464be515d85fe8bcf5507b75c

2,071

py

Python

acos_client/v21/slb/virtual_server.py

alonbg/acos-client

027370e47862ea64d289a6f55378fe45fb28140d

[ "Apache-2.0" ]

null

acos_client/v21/slb/virtual_server.py

alonbg/acos-client

027370e47862ea64d289a6f55378fe45fb28140d

[ "Apache-2.0" ]

null

acos_client/v21/slb/virtual_server.py

alonbg/acos-client

027370e47862ea64d289a6f55378fe45fb28140d

[ "Apache-2.0" ]

null

# Copyright 2014, Doug Wiegley, A10 Networks. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import acos_client.v21.base as base from virtual_port import VirtualPort class VirtualServer(base.BaseV21): @property def vport(self): return VirtualPort(self.client) def all(self, **kwargs): return self._get("slb.virtual_server.getAll", **kwargs) def get(self, name, **kwargs): return self._post("slb.virtual_server.search", {'name': name}, **kwargs) def _set(self, action, name, ip_address=None, status=1, **kwargs): params = { "virtual_server": self.minimal_dict({ "name": name, "address": ip_address, "status": status, }), } self._post(action, params, **kwargs) def create(self, name, ip_address, status=1, **kwargs): self._set("slb.virtual_server.create", name, ip_address, status, **kwargs) def update(self, name, ip_address=None, status=1, **kwargs): self._set("slb.virtual_server.update", name, ip_address, status, **kwargs) def delete(self, name, **kwargs): self._post("slb.virtual_server.delete", {"name": name}, **kwargs) def stats(self, name, **kwargs): return self._post("slb.virtual_server.fetchStatistics", {"name": name}, **kwargs) def all_stats(self, **kwargs): return self._get("slb.virtual_server.fetchAllStatistics", **kwargs)

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17d657a5ebd7f0218060b62152f6c96efe946e61

68

py

Python

service/constants.py

iLtc/shopcarts

0a19815fa4012e730ea7b5b58f0d6f25aa55dd7e

[ "Apache-2.0" ]

1

2020-09-29T23:01:56.000Z

service/constants.py

iLtc/shopcarts

0a19815fa4012e730ea7b5b58f0d6f25aa55dd7e

[ "Apache-2.0" ]

132

2020-10-02T15:44:23.000Z

2020-12-09T15:45:20.000Z

service/constants.py

iLtc/shopcarts

0a19815fa4012e730ea7b5b58f0d6f25aa55dd7e

[ "Apache-2.0" ]

3

2020-09-30T00:57:04.000Z

2020-11-01T20:29:57.000Z

""" Constants for the Shopcart Service """ NOT_FOUND = "Not Found"

11.333333

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17f3af03b9cb8ae4acb578d68f89b4d99e52237b

227

py

Python

nsd1903/python01/day04/seq.py

MrWangwf/nsd2019

5e859b4b1926dc098d236be3720779c50d0a55fc

[ "Apache-2.0" ]

1

2019-09-19T04:53:22.000Z

nsd1903/python01/day04/seq.py

MrWangwf/nsd2019

5e859b4b1926dc098d236be3720779c50d0a55fc

[ "Apache-2.0" ]

null

nsd1903/python01/day04/seq.py

MrWangwf/nsd2019

5e859b4b1926dc098d236be3720779c50d0a55fc

[ "Apache-2.0" ]

1

2021-12-28T04:26:02.000Z

alist = ['bob', 'alice', 'tom', 'jerry'] # for i in range(len(alist)): # print(i, alist[i]) print(list(enumerate(alist))) for data in enumerate(alist): print(data) for i, name in enumerate(alist): print(i, name)

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20.636364

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null

1

0

1

0

null

0

1

0

3

aa15e3cfade1dc2395ba700a51eee47e03f7413a

712

py

Python

app/tests/test_comment.py

lwairore/python-ginger-pitch

41cad0b822a39e54f868564edb7b0e4091864917

[ "MIT" ]

null

app/tests/test_comment.py

lwairore/python-ginger-pitch

41cad0b822a39e54f868564edb7b0e4091864917

[ "MIT" ]

null

app/tests/test_comment.py

lwairore/python-ginger-pitch

41cad0b822a39e54f868564edb7b0e4091864917

[ "MIT" ]

null

import unittest from app.models import User, Comment from flask_login import current_user from app import db class TestComments(unittest.TestCase): def setUp(self): self.new_comment = Comment(pitch_id=12, title='Awesome', comment="Nice presentation...", postedAt="2019-05-27 14:15:43.587649", user_id=1) def tearDown(self): Comment.query.delete() def test_check_instance_variables(self): self.assertEquals(self.new_comment.pitch_id, 12) self.assertEquals(self.new_comment.title, 'Awesome') self.assertEquals(self.new_comment.comment, 'Nice presentation...') self.assertEquals(self.new_comment.postedAt, '2019-05-27 14:15:43.587649')

39.555556

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712

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0.171348

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18

147

39.555556

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null

0

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null

0

1

0

1

0

3

aa2e43346796f9885498bdf6674c5247dd9d02bc

604

py

Python

plugin.video.youtube/resources/lib/youtube_plugin/kodion/register_provider_path.py

akuala/REPO.KUALA

ea9a157025530d2ce8fa0d88431c46c5352e89d4

[ "Apache-2.0" ]

2

2018-11-02T19:55:30.000Z

2020-08-14T02:22:20.000Z

plugin.video.youtube/resources/lib/youtube_plugin/kodion/register_provider_path.py

akuala/REPO.KUALA

ea9a157025530d2ce8fa0d88431c46c5352e89d4

[ "Apache-2.0" ]

null

plugin.video.youtube/resources/lib/youtube_plugin/kodion/register_provider_path.py

akuala/REPO.KUALA

ea9a157025530d2ce8fa0d88431c46c5352e89d4

[ "Apache-2.0" ]

3

2019-12-17T20:47:00.000Z

2021-02-11T19:03:59.000Z

# -*- coding: utf-8 -*- """ Copyright (C) 2014-2016 bromix (plugin.video.youtube) Copyright (C) 2016-2018 plugin.video.youtube SPDX-License-Identifier: GPL-2.0-only See LICENSES/GPL-2.0-only for more information. """ class RegisterProviderPath(object): def __init__(self, re_path): self._kodion_re_path = re_path def __call__(self, func): def wrapper(*args, **kwargs): # only use a wrapper if you need extra code to be run here return func(*args, **kwargs) wrapper.kodion_re_path = self._kodion_re_path return wrapper

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604

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0.240066

604

22

71

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0.438742

0

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0

null

0

null

0

1

0

1

0

3

aa3cfad7fc1e02df61c51eca3499f3ede60bac64

2,644

py

Python

src/network-manager/azext_network_manager/_client_factory.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

1

2022-01-25T07:33:18.000Z

src/network-manager/azext_network_manager/_client_factory.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

9

2022-03-25T19:35:49.000Z

2022-03-31T06:09:47.000Z

src/network-manager/azext_network_manager/_client_factory.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

1

2022-02-14T21:43:29.000Z

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- def cf_network_cl(cli_ctx, *_): from azure.cli.core.commands.client_factory import get_mgmt_service_client from azext_network_manager.vendored_sdks import NetworkManagementClient return get_mgmt_service_client(cli_ctx, NetworkManagementClient) def cf_activesecurityuserrule(cli_ctx, *_): return cf_network_cl(cli_ctx).active_security_user_rules def cf_adminrulecollection(cli_ctx, *_): return cf_network_cl(cli_ctx).admin_rule_collections def cf_adminrule(cli_ctx, *_): return cf_network_cl(cli_ctx).admin_rules def cf_connectivityconfiguration(cli_ctx, *_): return cf_network_cl(cli_ctx).connectivity_configurations def cf_listeffectivevirtualnetwork(cli_ctx, *_): return cf_network_cl(cli_ctx).list_effective_virtual_networks def cf_effectivevirtualnetwork(cli_ctx, *_): return cf_network_cl(cli_ctx).effective_virtual_networks def cf_networkmanagementclient(cli_ctx, *_): return cf_network_cl(cli_ctx) def cf_networkgroup(cli_ctx, *_): return cf_network_cl(cli_ctx).network_groups def cf_networkmanagercommit(cli_ctx, *_): return cf_network_cl(cli_ctx).network_manager_commits def cf_networkmanagerdeploymentstatus(cli_ctx, *_): return cf_network_cl(cli_ctx).network_manager_deployment_status def cf_networkmanager(cli_ctx, *_): return cf_network_cl(cli_ctx).network_managers def cf_securityadminconfiguration(cli_ctx, *_): return cf_network_cl(cli_ctx).security_admin_configurations def cf_securityuserconfiguration(cli_ctx, *_): return cf_network_cl(cli_ctx).security_user_configurations def cf_userrulecollection(cli_ctx, *_): return cf_network_cl(cli_ctx).user_rule_collections def cf_userrule(cli_ctx, *_): return cf_network_cl(cli_ctx).user_rules def cf_scopeconnection(cli_ctx, *_): return cf_network_cl(cli_ctx).scope_connections def cf_staticmembers(cli_ctx, *_): return cf_network_cl(cli_ctx).static_members def cf_subscriptionconnection(cli_ctx, *_): return cf_network_cl(cli_ctx).subscription_network_manager_connections def cf_managementgroupconnection(cli_ctx, *_): return cf_network_cl(cli_ctx).management_group_network_manager_connections

28.73913

78

0.764372

340

2,644

5.461765

0.3

0.129241

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0.150781

0.378029

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0.197092

0.046311

0

0.110061

2,644

91

79

29.054945

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0

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1

0

null

0

null

0

1

0

1

0

3

a4d1f66aa774cde33521e84635646015f0844994

93

py

Python

mysite/Objective/apps.py

avinsit123/Tweet-o-Pedia

d36970f1426643da295f6f98e8c5fce9fcd7109c

[ "BSD-3-Clause" ]

1

2019-01-15T17:15:26.000Z

mysite/Objective/apps.py

avinsit123/Tweet-o-Pedia

d36970f1426643da295f6f98e8c5fce9fcd7109c

[ "BSD-3-Clause" ]

18

2020-01-28T22:31:06.000Z

2022-03-11T23:37:23.000Z

mysite/Objective/apps.py

avinsit123/Tweet-o-Pedia

d36970f1426643da295f6f98e8c5fce9fcd7109c

[ "BSD-3-Clause" ]

1

2019-01-05T08:41:11.000Z

from django.apps import AppConfig class ObjectiveConfig(AppConfig): name = 'Objective'

15.5

33

0.763441

10

93

7.1

0.9

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0.16129

93

5

34

18.6

0.910256

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false

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null

0

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null

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1

0

3

a4e94c915b5c2fd0f318e8231a2eff91803bddc6

406

py

Python

example_project/yawdtrans_demo/admin.py

Varun11940/yawd-translations

3b4bd84cfe451ce43beb94507dfcdbf61bd1686f

[ "BSD-3-Clause" ]

2

2017-02-21T16:21:45.000Z

2019-04-02T05:42:12.000Z

example_project/yawdtrans_demo/admin.py

Varun11940/yawd-translations

3b4bd84cfe451ce43beb94507dfcdbf61bd1686f

[ "BSD-3-Clause" ]

4

2020-09-30T20:15:51.000Z

2020-10-17T05:24:34.000Z

example_project/yawdtrans_demo/admin.py

Varun11940/yawd-translations

3b4bd84cfe451ce43beb94507dfcdbf61bd1686f

[ "BSD-3-Clause" ]

80

2020-09-30T12:40:07.000Z

2020-10-02T09:52:51.000Z

from django.contrib import admin from translations.admin import TranslationInline from models import MultilingualPage, MultilingualPageTranslation class MultilingualPageTranslationAdmin(TranslationInline): model = MultilingualPageTranslation class MultilingualPageAdmin(admin.ModelAdmin): inlines = [MultilingualPageTranslationAdmin] admin.site.register(MultilingualPage, MultilingualPageAdmin)

36.909091

64

0.864532

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406

11.322581

0.580645

0.182336

0

0.08867

406

11

65

36.909091

0.948649

0

1

0

false

0

0.375

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0.875

0

1

null

0

null

0

1

0

1

0

3

a4ee8848b7564f2db66c8aa9dbc2cd5de69225b6

184

py

Python

functions_advanced/exercise/recursion_power.py

PetkoAndreev/Python-advanced

94fd0fa69b366b978921ee8d4e214d3d3b4335d6

[ "MIT" ]

null

functions_advanced/exercise/recursion_power.py

PetkoAndreev/Python-advanced

94fd0fa69b366b978921ee8d4e214d3d3b4335d6

[ "MIT" ]

null

functions_advanced/exercise/recursion_power.py

PetkoAndreev/Python-advanced

94fd0fa69b366b978921ee8d4e214d3d3b4335d6

[ "MIT" ]

null

def recursive_power(x, y): if y == 0: return 1 if y >= 1: return x * recursive_power(x, y - 1) print(recursive_power(2, 10)) print(recursive_power(10, 100))

16.727273

44

0.586957

30

184

3.466667

0.433333

0.538462

0.288462

0.307692

0

0.090226

0.277174

184

10

45

18.4

0.691729

0

1

0.142857

false

0

0.428571

0.285714

0

null

1

0

null

0

3

a4fab7ea783cc7e797093f95f5d2d34846ffc90a

126

py

Python

starsim/__init__.py

dbarochlopez/starsim

add1c930e6506958dc57d2c815069462797a9dcb

[ "MIT" ]

null

starsim/__init__.py

dbarochlopez/starsim

add1c930e6506958dc57d2c815069462797a9dcb

[ "MIT" ]

null

starsim/__init__.py

dbarochlopez/starsim

add1c930e6506958dc57d2c815069462797a9dcb

[ "MIT" ]

null

# -*- coding: utf-8 -*- __version__ = "3.0.1" __all__ = ['starsim','spectra','nbspectra','SA'] from .starsim import StarSim

18

48

0.634921

16

126

4.5

0.875

0

0.036697

0.134921

126

7

49

18

0.623853

0.166667

0

0.288462

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

3517e46678c8333edace6d66dcd4d264f8146a05

804

py

Python

migrations/versions/049_RedcapProject_Add_participant_import_strategy_id.py

LCBRU/identity

e8bec964aca9595091bf891bbe41632ce54afd3f

[ "MIT" ]

null

migrations/versions/049_RedcapProject_Add_participant_import_strategy_id.py

LCBRU/identity

e8bec964aca9595091bf891bbe41632ce54afd3f

[ "MIT" ]

null

migrations/versions/049_RedcapProject_Add_participant_import_strategy_id.py

LCBRU/identity

e8bec964aca9595091bf891bbe41632ce54afd3f

[ "MIT" ]

null

from sqlalchemy import ( MetaData, Table, Column, Integer, NVARCHAR, ForeignKey, ) from sqlalchemy.schema import ForeignKeyConstraint meta = MetaData() def upgrade(migrate_engine): meta.bind = migrate_engine pis = Table("participant_import_strategy", meta, autoload=True) t = Table("redcap_project", meta, autoload=True) participant_import_strategy_id = Column("participant_import_strategy_id", Integer, index=True) participant_import_strategy_id.create(t, index_name='idx__redcap_project__pis_id') t.append_constraint(ForeignKeyConstraint([participant_import_strategy_id], [pis.c.id])) def downgrade(migrate_engine): meta.bind = migrate_engine t = Table("redcap_project", meta, autoload=True) t.c.participant_import_strategy_id.drop()

26.8

98

0.752488

97

804

5.917526

0.360825

0.1777

0.261324

0.235192

0.341463

0.240418

0.121951

0

0.150498

804

29

99

27.724138

0.84041

0

0.190476

0

0.139303

0.104478

0

1

0.095238

false

0

0.333333

0

0.428571

0

null

0

1

0

null

0

1

0

3

351b2b05827d0f2cc720db005aaf4d5b38cf4353

251

py

Python

photutils/detection/__init__.py

astrofrog/photutils

19aa574367cb384e0fe0bdc4179b68429fe2dc89

[ "BSD-3-Clause" ]

null

photutils/detection/__init__.py

astrofrog/photutils

19aa574367cb384e0fe0bdc4179b68429fe2dc89

[ "BSD-3-Clause" ]

1

2016-02-19T14:00:04.000Z

photutils/detection/__init__.py

astrofrog/photutils

19aa574367cb384e0fe0bdc4179b68429fe2dc89

[ "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This subpackage contains modules and packages for identifying sources in an astronomical image and estimating their morphological parameters (e.g. centroid and shape parameters). """

35.857143

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0.796813

35

251

5.714286

0.885714

0

0.004651

0.143426

251

6

73

41.833333

0.925581

0.960159

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

3

35378e9b83ccabf07f8ef33eeab502732d8ac52c

1,610

py

Python

accelbyte_py_sdk/api/iam/operations/clients/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

accelbyte_py_sdk/api/iam/operations/clients/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

1

2021-10-13T03:46:58.000Z

accelbyte_py_sdk/api/iam/operations/clients/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: justice_py_sdk_codegen/__main__.py """Auto-generated package that contains models used by the justice-iam-service.""" __version__ = "5.10.1" __author__ = "AccelByte" __email__ = "dev@accelbyte.net" # pylint: disable=line-too-long from .add_client_permission import AddClientPermission from .admin_add_client_permis_b56057 import AdminAddClientPermissionsV3 from .admin_create_client_v3 import AdminCreateClientV3 from .admin_delete_client_per_ccba4f import AdminDeleteClientPermissionV3 from .admin_delete_client_v3 import AdminDeleteClientV3 from .admin_get_clients_by_na_e85014 import AdminGetClientsByNamespaceV3 from .admin_get_clientsby_nam_ac2fda import AdminGetClientsbyNamespacebyIDV3 from .admin_update_client_per_4db324 import AdminUpdateClientPermissionV3 from .admin_update_client_v3 import AdminUpdateClientV3 from .create_client import CreateClient from .create_client_by_namespace import CreateClientByNamespace from .delete_client import DeleteClient from .delete_client_by_namespace import DeleteClientByNamespace from .delete_client_permission import DeleteClientPermission from .get_client import GetClient from .get_clients import GetClients from .get_clientsby_namespace import GetClientsbyNamespace from .update_client import UpdateClient from .update_client_permission import UpdateClientPermission from .update_client_secret import UpdateClientSecret

43.513514

82

0.869565

195

1,610

6.820513

0.512821

0.054135

0.049624

0.031579

0

0.023891

0.090062

1,610

36

83

44.722222

0.883959

0.223602

0

1

0

0.025848

0

1

0

false

0

0.869565

0

0.869565

0

null

0

1

0

null

0

1

0

1

0

3

353a9f87129693eb06b88d2f95fd93af3bd292d9

1,618

py

Python

sdk/python/pulumi_kubernetes/core/v1/__init__.py

Carlangueitor/pulumi-kubernetes

859ccaaeb8291de49128dbc202fbac1358b2a25a

[ "Apache-2.0" ]

null

sdk/python/pulumi_kubernetes/core/v1/__init__.py

Carlangueitor/pulumi-kubernetes

859ccaaeb8291de49128dbc202fbac1358b2a25a

[ "Apache-2.0" ]

null

sdk/python/pulumi_kubernetes/core/v1/__init__.py

Carlangueitor/pulumi-kubernetes

859ccaaeb8291de49128dbc202fbac1358b2a25a

[ "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Kubernetes codegen tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from .Binding import (Binding) from .ComponentStatus import (ComponentStatus) from .ComponentStatusList import (ComponentStatusList) from .ConfigMap import (ConfigMap) from .ConfigMapList import (ConfigMapList) from .Endpoints import (Endpoints) from .EndpointsList import (EndpointsList) from .Event import (Event) from .EventList import (EventList) from .LimitRange import (LimitRange) from .LimitRangeList import (LimitRangeList) from .Namespace import (Namespace) from .NamespaceList import (NamespaceList) from .Node import (Node) from .NodeList import (NodeList) from .PersistentVolume import (PersistentVolume) from .PersistentVolumeClaim import (PersistentVolumeClaim) from .PersistentVolumeClaimList import (PersistentVolumeClaimList) from .PersistentVolumeList import (PersistentVolumeList) from .Pod import (Pod) from .PodList import (PodList) from .PodTemplate import (PodTemplate) from .PodTemplateList import (PodTemplateList) from .ReplicationController import (ReplicationController) from .ReplicationControllerList import (ReplicationControllerList) from .ResourceQuota import (ResourceQuota) from .ResourceQuotaList import (ResourceQuotaList) from .Secret import (Secret) from .SecretList import (SecretList) from .Service import (Service) from .ServiceAccount import (ServiceAccount) from .ServiceAccountList import (ServiceAccountList) from .ServiceList import (ServiceList)

41.487179

81

0.817058

168

1,618

7.869048

0.39881

0

0.000692

0.106922

1,618

38

82

42.578947

0.914187

0.131644

0

1

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

3

10325dd64b2170b09baf7f13cd204c61706d63ae

1,197

py

Python

PaddleCV/tracking/pytracking/libs/tensordict.py

suytingwan/models

ccdbfe77d071cc19b55fb9f4b738912e35d982ef

[ "Apache-2.0" ]

5

2021-09-28T13:28:01.000Z

2021-12-21T07:25:44.000Z

PaddleCV/tracking/pytracking/libs/tensordict.py

suytingwan/models

ccdbfe77d071cc19b55fb9f4b738912e35d982ef

[ "Apache-2.0" ]

1

2019-11-18T03:03:37.000Z

PaddleCV/tracking/pytracking/libs/tensordict.py

suytingwan/models

ccdbfe77d071cc19b55fb9f4b738912e35d982ef

[ "Apache-2.0" ]

4

2021-08-11T08:25:10.000Z

2021-10-16T07:41:59.000Z

from collections import OrderedDict class TensorDict(OrderedDict): """Container mainly used for dicts of Variable.""" def concat(self, other): """Concatenates two dicts without copying internal data.""" return TensorDict(self, **other) def copy(self): return TensorDict(super(TensorDict, self).copy()) def __getattr__(self, name): for n, e in self.items(): if not hasattr(e, name): raise AttributeError('\'{}\' object has not attribute \'{}\''. format(type(e), name)) def apply_attr(*args, **kwargs): return TensorDict({ n: getattr(e, name)(*args, **kwargs) if hasattr(e, name) else e for n, e in self.items() }) return apply_attr def attribute(self, attr: str, *args): return TensorDict({n: getattr(e, attr, *args) for n, e in self.items()}) def apply(self, fn, *args, **kwargs): return TensorDict({n: fn(e, *args, **kwargs) for n, e in self.items()}) @staticmethod def _iterable(a): return isinstance(a, (TensorDict, list))

32.351351

81

0.550543

138

1,197

4.724638

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0.042945

0.231595

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0.319131

1,197

36

82

33.25

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0.081871

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false

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0.208333

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0

null

0

null

0

1

0

1

0

3

103657d8606eaed15b1c626a7ee7b19c52865ffb

328

py

Python

dgp/genera/load/analyzers/structure/structure_dgp.py

dataspot/dgp

553a255a4884b935cf2efecdc761050232f0f066

[ "MIT" ]

1

2019-07-17T11:34:27.000Z

dgp/genera/load/analyzers/structure/structure_dgp.py

datahq/dgp

f39592ce20ba67b73b08188f14585b6eb3d43f96

[ "MIT" ]

2

2019-04-30T12:32:32.000Z

2019-04-30T12:35:26.000Z

dgp/genera/load/analyzers/structure/structure_dgp.py

dataspot/dgp

553a255a4884b935cf2efecdc761050232f0f066

[ "MIT" ]

null

from .....core import BaseDataGenusProcessor from .skip_rows_cols import SkipRowsColsAnalyzer from .header_fields import HeaderFieldsAnalyzer class StructureDGP(BaseDataGenusProcessor): def init(self): self.steps = self.init_classes([ SkipRowsColsAnalyzer, HeaderFieldsAnalyzer ])

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103f9622faa5552d3f22903128320e6f6e21853e

402

py

Python

core/Functions/loss/loss.py

davidliyutong/Flint

4e2552dac8d781c21e8998ad68bbf1b986b09258

[ "MIT" ]

null

core/Functions/loss/loss.py

davidliyutong/Flint

4e2552dac8d781c21e8998ad68bbf1b986b09258

[ "MIT" ]

1

2020-07-08T02:57:50.000Z

core/Functions/loss/loss.py

davidliyutong/Flint

4e2552dac8d781c21e8998ad68bbf1b986b09258

[ "MIT" ]

null

class loss(object): def __init__(self): self.last_input = None self.grads = {} self.grads_cuda = {} def loss(self, x, labels): raise NotImplementedError def grad(self, x, labels): raise NotImplementedError def loss_cuda(self, x, labels): raise NotImplementedError def grad_cuda(self, x, labels): raise NotImplementedError

22.333333

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5.355556

0.355556

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0.182573

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0.291045

402

17

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null

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null

0

1

0

3

1046637dc3e5e9f988aca37a93792eab50ea3e93

108

py

Python

admin/apps.py

vah-ini/crispy-ai

f1f743012cac508dd4ad13c886eab6352c9c5053

[ "MIT" ]

7

2019-05-07T17:31:57.000Z

2021-07-06T15:08:14.000Z

admin/apps.py

vah-ini/crispy-ai

f1f743012cac508dd4ad13c886eab6352c9c5053

[ "MIT" ]

60

2019-05-04T08:52:37.000Z

2022-03-11T23:53:25.000Z

admin/apps.py

vah-ini/crispy-ai

f1f743012cac508dd4ad13c886eab6352c9c5053

[ "MIT" ]

21

2019-04-12T14:31:54.000Z

2019-09-29T09:51:20.000Z

from django.apps import AppConfig class AdminConfig(AppConfig): name = 'admin' label = 'ai_admin'

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null

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3

1047cad497cbd76c1c6c8c81d58f380420936ca0

658

py

Python

aws_api_mock/Factory_Simple.py

danilocgsilva/aws-data-mock

07e0013f04bccb8c756a8911acd047813cf176f9

[ "MIT" ]

null

aws_api_mock/Factory_Simple.py

danilocgsilva/aws-data-mock

07e0013f04bccb8c756a8911acd047813cf176f9

[ "MIT" ]

null

aws_api_mock/Factory_Simple.py

danilocgsilva/aws-data-mock

07e0013f04bccb8c756a8911acd047813cf176f9

[ "MIT" ]

null

from random import random import math class Factory_Simple: def __init__(self): self.possibles = [] def set_possibles(self, possible): self.possibles.append(possible) return self def get_possibles(self) -> list: return self.possibles def get_extracting(self): possibles_length = len(self.possibles) if possibles_length == 0: raise Exception('There are no more elements to extract') choice_position = math.floor(random() * possibles_length) choice_result = self.possibles[choice_position] del self.possibles[choice_position] return choice_result

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null

0

1

0

1

0

3

1068e92e11dcf71f4fc7c3d076b9e6d84ae02f0b

15,551

py

Python

tests/test_effects_inference.py

audreyseo/tisane

1a73fbbe81a3890b712d4a92765b38259b24c7b3

[ "Apache-2.0" ]

8

2021-08-31T19:03:08.000Z

2022-03-30T05:49:23.000Z

tests/test_effects_inference.py

audreyseo/tisane

1a73fbbe81a3890b712d4a92765b38259b24c7b3

[ "Apache-2.0" ]

7

2021-08-30T02:00:34.000Z

2022-01-19T05:44:52.000Z

tests/test_effects_inference.py

audreyseo/tisane

1a73fbbe81a3890b712d4a92765b38259b24c7b3

[ "Apache-2.0" ]

2

2021-12-27T22:28:15.000Z

2022-01-19T00:42:47.000Z

""" Tests how model effects structures are inferred NOTE: The tests are only to test, not to make any statements about how these variables relate in the real world """ import tisane as ts from tisane import graph_inference from tisane.graph_inference import ( infer_main_effects_with_explanations, infer_interaction_effects_with_explanations, infer_random_effects_with_explanations, ) from tisane.variable import ( AbstractVariable, Associates, Has, Causes, Moderates, Nests, NumberValue, Exactly, # Subclass of NumberValue AtMost, # Subclass of NumberValue Repeats, ) from tisane.random_effects import RandomIntercept, RandomSlope import unittest class EffectsInferenceTest(unittest.TestCase): def test_main_included_causes(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) design = ts.Design(dv=dv, ivs=[m0, m1]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) def test_main_included_associates(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") dv = u0.numeric("Dependent_variable") m0.associates_with(dv) m1.associates_with(dv) design = ts.Design(dv=dv, ivs=[m0, m1]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) def test_main_excluded_causes(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") m2 = u0.numeric("Measure_2") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) design = ts.Design(dv=dv, ivs=[m0, m1]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) self.assertNotIn(m2, main_effects) def test_main_excluded_associates(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") m2 = u0.numeric("Measure_2") dv = u0.numeric("Dependent_variable") m0.associates_with(dv) m1.associates_with(dv) design = ts.Design(dv=dv, ivs=[m0, m1]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) self.assertNotIn(m2, main_effects) def test_main_conceptual_parent_causes(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") m2 = u0.numeric("Measure_2") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) m2.causes(m0) # conceptual parent design = ts.Design(dv=dv, ivs=[m0, m1]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 3) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) self.assertIn(m2, main_effects) def test_main_shared_ancestor_causes(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") m2 = u0.numeric("Measure_2") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) m2.causes(m0) # shared ancestor m2.causes(m1) # shared ancestor design = ts.Design(dv=dv, ivs=[m0, m1]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 3) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) self.assertIn(m2, main_effects) def test_main_ivs_associated_and_causes_dv(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) m1.associates_with(m0) design = ts.Design(dv=dv, ivs=[m0]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) def test_main_ivs_associated_and_associates_with_dv(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") dv = u0.numeric("Dependent_variable") m0.associates_with(dv) m1.associates_with(dv) m1.associates_with(m0) design = ts.Design(dv=dv, ivs=[m0]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) def test_main_ivs_cause(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) m1.causes(m0) design = ts.Design(dv=dv, ivs=[m0]) gr = design.graph (main_effects, main_explanations) = infer_main_effects_with_explanations( gr, design ) self.assertEqual(len(main_effects), 2) self.assertIn(m0, main_effects) self.assertIn(m1, main_effects) def test_interaction_moderates_one_variable(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") m2 = u0.numeric("Measure_2") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) m2.moderates(moderator=m1, on=dv) design = ts.Design(dv=dv, ivs=[m0, m1]) # omit m2 gr = design.graph main_effects = [m0, m1] ( interaction_effects, interaction_explanations, ) = infer_interaction_effects_with_explanations(gr, design, main_effects) self.assertEqual(len(interaction_effects), 0) self.assertEqual(len(m2.relationships), 2) ixn = None for r in m2.relationships: if isinstance(r, Moderates): ixn = r self.assertIsNotNone(ixn) def test_interaction_moderates_two_variables(self): u0 = ts.Unit("Unit") m0 = u0.numeric("Measure_0") m1 = u0.numeric("Measure_1") m2 = u0.numeric("Measure_2") dv = u0.numeric("Dependent_variable") m0.causes(dv) m1.causes(dv) m2.moderates(moderator=m1, on=dv) design = ts.Design(dv=dv, ivs=[m0, m1, m2]) gr = design.graph main_effects = [m0, m1, m2] ( interaction_effects, interaction_explanations, ) = infer_interaction_effects_with_explanations(gr, design, main_effects) self.assertEqual(len(interaction_effects), 1) var = interaction_effects.pop() self.assertEqual(len(m2.relationships), 2) ixn = None for r in m2.relationships: if isinstance(r, Moderates): ixn = r self.assertIsNotNone(ixn) for x in ixn.moderator: self.assertIn(x.name, var.name) def test_random_repeats(self): u0 = ts.Unit("Unit") s0 = ts.SetUp("Time", order=[1, 2, 3, 4, 5]) dv = u0.numeric("Dependent_variable", number_of_instances=s0) design = ts.Design(dv=dv, ivs=[s0]) # main effect of Time gr = design.graph main_effects = [s0] (random_effects, random_explanations) = infer_random_effects_with_explanations( gr=gr, query=design, main_effects=main_effects ) self.assertEqual(len(random_effects), 2) has_unit_ri = False has_time_ri = False for ri in random_effects: self.assertIsInstance(ri, RandomIntercept) if isinstance(ri.groups, ts.Unit): self.assertIs(ri.groups, u0) has_unit_ri = True elif isinstance(ri.groups, ts.SetUp): self.assertIs(ri.groups, s0) has_time_ri = True self.assertTrue(has_unit_ri) self.assertTrue(has_time_ri) def test_random_nested(self): u0 = ts.Unit("Unit 0") m0 = u0.numeric("Measure_0") u1 = ts.Unit("Unit 1") dv = u0.numeric("Dependent_variable") u0.nests_within(u1) design = ts.Design(dv=dv, ivs=[m0]) gr = design.graph main_effects = design.ivs (random_effects, random_explanations) = infer_random_effects_with_explanations( gr=gr, query=design, main_effects=main_effects ) self.assertEqual(len(random_effects), 1) ri = random_effects.pop() self.assertIsInstance(ri, RandomIntercept) self.assertIs(ri.groups, u1) # Barr et al. 2013 example def test_composed_measures_with_repeats(self): subject = ts.Unit("Subject", cardinality=12) # Each subject has a two values for condition, which is nominal. # Verbose: Each instance of subject has two instances of a nominal variable condition. # Informally: Each subjects sees two (both) conditions. condition = subject.nominal("Word_type", cardinality=2, number_of_instances=2) # Repeated measures # Each subject has a measure reaction time, which is numeric, for each instance of a word # Verbose: Each instance of subject has one instance of a numeric variable weight for each value of word. # Informally: Each subject has a reaction time for each word. # Implies: Each condition has/is comprised of two words. word = subject.nominal( "Word", cardinality=4, number_of_instances=Exactly(2).per(number_of_instances=condition), ) reaction_time = subject.numeric("Time", number_of_instances=word) # ALTERNATIVELY, we could do something like the below (not implemented). It is a bit more complicated to calculate the number of instances, but still doable I think. # Each word has one value for condition (already defined above as a measure of subject) # word.has(condition, number_of_instances=1) # Condition has two units design = ts.Design(dv=reaction_time, ivs=[condition]) gr = design.graph main_effects = design.ivs (random_effects, random_explanations) = infer_random_effects_with_explanations( gr=gr, query=design, main_effects=main_effects ) self.assertEqual( len(random_effects), 3 ) # two random intercepts, 1 random slope for re in random_effects: if isinstance(re, RandomSlope): self.assertIs(re.iv, condition) self.assertIs(re.groups, subject) else: self.assertIsInstance(re, RandomIntercept) if re.groups != subject: self.assertIs(re.groups, word) # Barr 2013 time * group interaction example: # "For example, consider a design with two independent groups of subjects, # where there are observations at multiple time points for each subject. # When testing the time-by-group interaction, the model should include a # random slope for the continuous variable of time..." def test_random_effects_for_two_way_time_group_interaction(self): subject = ts.Unit("Unit") time = ts.SetUp("Time") condition = subject.nominal( "Condition", cardinality=2, number_of_instances=1 ) # "two independent groups of subjects" dv = subject.numeric( "Dependent_variable", number_of_instances=time ) # within-subject time.associates_with(dv) condition.causes(dv) time.moderates(moderator=[condition], on=dv) design = ts.Design(dv=dv, ivs=[time, condition]) gr = design.graph main_effects = design.ivs ( interaction_effects, interaction_explanations, ) = infer_interaction_effects_with_explanations( gr=gr, query=design, main_effects=main_effects ) (random_effects, random_explanations) = infer_random_effects_with_explanations( gr=gr, query=design, main_effects=main_effects, interaction_effects=interaction_effects, ) # gr=gr, query=design, main_effects # interactions=list(interaction_effects) # ) self.assertEqual(len(random_effects), 1) rs = random_effects.pop() self.assertIsInstance(rs, RandomSlope) self.assertEqual(rs.iv.name, time.name) self.assertIs(rs.groups, subject) # def test_composed_measures_no_repeats(self): # subject = ts.Unit("Subject") # word = ts.Unit("Word") # # Each subject has a two values for condition, which is nominal. # # Verbose: Each instance of subject has two instances of a nominal variable condition. # # Informally: Each subjects sees two (both) conditions. # condition = subject.nominal("Word_type", cardinality=2, number_of_instances=2) # # Repeated measures # # Each subject has a measure reaction time, which is numeric, for each instance of a word # # Verbose: Each instance of subject has one instance of a numeric variable weight for each value of word. # # Informally: Each subject has a reaction time for each word. # reaction_time = subject.numeric("Time", number_of_instances=1) # TODO: DOES THIS EVEN MAKE SENSE!? # # Each condition has/is comprised of two words. # condition.has(word, number_of_instances=2) # # ALTERNATIVELY, we could do something like the below (not implemented). It is a bit more complicated to calculate the number of instances, but still doable I think. # # Each word has one value for condition (already defined above as a measure of subject) # # word.has(condition, number_of_instances=1) # Condition has two units # design = ts.Design(dv=reaction_time, ivs=[condition]) # gr = design.graph # main_effects = design.ivs # (random_effects, random_explanations) = infer_random_effects_with_explanations(gr=gr, query=design, main_effects=main_effects) # self.assertEqual(len(random_effects), 3) # two random intercepts, 1 random slope # # TODO: How to ask if slope and intercept are correlated?

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null

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1

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null

0

3

106a133641a7eb9a0686dcea8a2199087735acbf

243

py

Python

leehao/learn82.py

pilihaotian/pythonlearning

e84b7766cc9ea8131e9720fb1f06761c9581d0da

[ "Apache-2.0" ]

1

2020-02-26T14:52:17.000Z

leehao/learn82.py

pilihaotian/pythonlearning

e84b7766cc9ea8131e9720fb1f06761c9581d0da

[ "Apache-2.0" ]

null

leehao/learn82.py

pilihaotian/pythonlearning

e84b7766cc9ea8131e9720fb1f06761c9581d0da

[ "Apache-2.0" ]

null

# 字节数组 bytearray 可变的 print(bytearray()) print(bytearray(1)) # 整数 print(bytearray([1, 2, 3, 4])) # 可迭代 print(bytearray("hello,world", encoding='utf-8')) # 字符串 encod ba = bytearray([1, 2, 3, 4]) print("更改前：", ba) ba[0] = 2 print("更改后：", ba)

22.090909

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null

1

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null

0

1

0

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106fc2d64a259ba2cbc36555caa83ca60f0f5de4

748

py

Python

emwiki/symbol/models.py

seigodev/emwiki

4b41d2d74c4937cc3ef2093e6478cfb73e943b7f

[ "MIT" ]

2

2021-12-20T16:37:24.000Z

2021-12-21T00:43:17.000Z

emwiki/symbol/models.py

seigodev/emwiki

4b41d2d74c4937cc3ef2093e6478cfb73e943b7f

[ "MIT" ]

101

2019-07-29T07:44:56.000Z

2022-03-31T04:11:04.000Z

emwiki/symbol/models.py

seigodev/emwiki

4b41d2d74c4937cc3ef2093e6478cfb73e943b7f

[ "MIT" ]

11

2019-07-24T02:37:35.000Z

2021-12-09T05:24:31.000Z

import os from django.db import models from django.urls import reverse from django.conf import settings class Symbol(models.Model): name = models.CharField(primary_key=True, max_length=50) filename = models.CharField(max_length=20) type = models.CharField(max_length=10) def __str__(self): return f'{self.name}:{self.filename}' @classmethod def get_htmlfile_dir(cls): return settings.PRODUCT_SYMBOLHTML_DIR @property def template_path(self): return f"symbol/symbol_html/{self.filename}" def get_htmlfile_path(self): return os.path.join(self.file_dir, f'{self.filename}') def get_absolute_url(self): return reverse("symbol:index", kwargs=dict(name=self.name))

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1

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3

107f9a93bc71693abd756605ac3fc9d733bac1c1

3,407

py

Python

urlshortener/settings.py

clownkill/url_shortener_django

729a7e129a099f33314200be332537a12f9087d7

[ "MIT" ]

null

urlshortener/settings.py

clownkill/url_shortener_django

729a7e129a099f33314200be332537a12f9087d7

[ "MIT" ]

null

urlshortener/settings.py

clownkill/url_shortener_django

729a7e129a099f33314200be332537a12f9087d7

[ "MIT" ]

null

""" Django settings for urlshortener project. Generated by 'django-admin startproject' using Django 4.0.3. For more information on this file, see https://docs.djangoproject.com/en/4.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/4.0/ref/settings/ """ import os import dj_database_url from environs import Env from pathlib import Path env = Env() env.read_env() # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/4.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env.str('SECRET_KEY', 'REPLACE_ME') # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool('DEBUG', True) ALLOWED_HOSTS = env.list('ALLOWED_HOSTS', []) # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'shortenersite', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'urlshortener.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'urlshortener.wsgi.application' # Database # https://docs.djangoproject.com/en/4.0/ref/settings/#databases DATABASES = { 'default': dj_database_url.parse( os.getenv('DATABASE', 'sqlite:///db.sqlite3') ), } # Password validation # https://docs.djangoproject.com/en/4.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/4.0/topics/i18n/ LANGUAGE_CODE = 'ru' TIME_ZONE = 'Europe/Moscow' USE_I18N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/4.0/howto/static-files/ STATIC_URL = 'static/' # Default primary key field type # https://docs.djangoproject.com/en/4.0/ref/settings/#default-auto-field DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField' SITE_URL = env.str('SITE_URL', 'http://localhost:8000')

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10af1d4aa4053ec2dec9c77c646928c33b7134a8

236

py

Python

shorty/common/exceptions/validation_exception.py

iliasmentz/url-shortener

3da7a254cead89f36d303fbd63a1659896774300

[ "MIT" ]

2

2020-10-19T21:32:25.000Z

2020-12-02T19:55:22.000Z

shorty/common/exceptions/validation_exception.py

iliasmentz/url-shortener

3da7a254cead89f36d303fbd63a1659896774300

[ "MIT" ]

null

shorty/common/exceptions/validation_exception.py

iliasmentz/url-shortener

3da7a254cead89f36d303fbd63a1659896774300

[ "MIT" ]

3

2021-03-11T18:51:33.000Z

2022-01-04T17:41:54.000Z

from shorty.common.exceptions.shorty_exception import ShortyException HTTP_STATUS = 422 class ValidationException(ShortyException): def __init__(self, code: str, detail: str): super().__init__(HTTP_STATUS, code, detail)

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py

Python

Docs/Examples/objects/RKerning_00.py

Vectro-Type-Foundry/robofab

cd65d78292d24358c98dce53d283314cdc85878e

[ "BSD-3-Clause" ]

61

2015-01-17T10:15:45.000Z

2018-12-02T13:53:02.000Z

Docs/Examples/objects/RKerning_00.py

Vectro-Type-Foundry/robofab

cd65d78292d24358c98dce53d283314cdc85878e

[ "BSD-3-Clause" ]

37

2015-01-05T23:44:56.000Z

2018-03-16T19:05:28.000Z

Docs/Examples/objects/RKerning_00.py

Vectro-Type-Foundry/robofab

cd65d78292d24358c98dce53d283314cdc85878e

[ "BSD-3-Clause" ]

25

2015-01-08T19:49:36.000Z

2018-10-29T00:36:46.000Z

# robofab manual # Kerning object # usage examples f = CurrentFont() print f.kerning # getting a value from the kerning dictionary print f.kerning[('V', 'A')] print f.kerning[('T', 'X')] print f.kerning.keys()

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52aca03df959ddd9b9550b2fcc97cda5eb7a1a24

58

py

Python

ibug/au_detection/__init__.py

ibug-group/au_detection

7145e86a792f191229d7753329ed6d04eb07531a

[ "MIT" ]

1

2022-02-07T11:58:13.000Z

ibug/au_detection/__init__.py

ibug-group/au_detection

7145e86a792f191229d7753329ed6d04eb07531a

[ "MIT" ]

null

ibug/au_detection/__init__.py

ibug-group/au_detection

7145e86a792f191229d7753329ed6d04eb07531a

[ "MIT" ]

1

2021-12-01T11:03:01.000Z

from .aunet import AUNetPredictor __version__ = '0.1.0'

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0

1

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null

0

1

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3

52b6a5728170f15c66007180c679a33ab70b9f01

106

py

Python

mocpy/moc/__init__.py

hirnimeshrampuresoftware/mocpy

4ed42b7f07ca3931379b884c49fd26eed1ec812b

[ "BSD-3-Clause" ]

34

2017-07-24T10:11:20.000Z

2022-02-23T06:22:59.000Z

mocpy/moc/__init__.py

tboch/pymoc

fbbde759f18ebeb656ec2b2150225e453c3b4550

[ "BSD-3-Clause" ]

55

2017-10-17T12:05:04.000Z

2022-03-30T21:31:06.000Z

mocpy/moc/__init__.py

tboch/pymoc

fbbde759f18ebeb656ec2b2150225e453c3b4550

[ "BSD-3-Clause" ]

19

2017-10-17T09:51:04.000Z

2022-01-07T21:09:23.000Z

from .moc import MOC from .plot.wcs import World2ScreenMPL __all__ = [ 'MOC', 'World2ScreenMPL' ]

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52ddb6b647d3ddc5683427100e5907ef6d99cd30

270

py

Python

pyEpiabm/pyEpiabm/output/__init__.py

Saketkr21/epiabm

3ec0dcbc78d3fd4114ed3c6bdd78ef39f0013d2f

[ "BSD-3-Clause" ]

11

2021-12-02T15:24:02.000Z

2022-03-10T14:02:13.000Z

pyEpiabm/pyEpiabm/output/__init__.py

Saketkr21/epiabm

3ec0dcbc78d3fd4114ed3c6bdd78ef39f0013d2f

[ "BSD-3-Clause" ]

119

2021-11-24T13:56:48.000Z

2022-03-30T11:52:07.000Z

pyEpiabm/pyEpiabm/output/__init__.py

SABS-R3-Epidemiology/epiabm

8eb83fd2de84104f6f77929e3771095f7b033ddc

[ "BSD-3-Clause" ]

3

2022-01-13T03:05:19.000Z

2022-03-11T22:00:17.000Z

# # Output subpackage of the pyEpiabm module. # """ pyEpiabm.output provides various methods to record the outputs of any simulation. """ from .abstract_reporter import AbstractReporter from ._csv_dict_writer import _CsvDictWriter from ._csv_writer import _CsvWriter

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0

null

0

1

0

1

0

1

0

3

52f5823f13977d4ba524b56940af9f17351a964f

173

py

Python

demo/view_test/fetview_test.py

aliddell/spiketag

f5600126c2c6c9be319e8b808d51ea33be843909

[ "BSD-3-Clause" ]

4

2018-04-23T18:08:39.000Z

2020-03-10T19:06:28.000Z

demo/view_test/fetview_test.py

aliddell/spiketag

f5600126c2c6c9be319e8b808d51ea33be843909

[ "BSD-3-Clause" ]

69

2017-02-17T19:27:52.000Z

2022-03-30T04:06:53.000Z

demo/view_test/fetview_test.py

aliddell/spiketag

f5600126c2c6c9be319e8b808d51ea33be843909

[ "BSD-3-Clause" ]

5

2017-02-01T16:11:32.000Z

2021-02-05T20:10:43.000Z

from spiketag.view import scatter_3d_view import numpy as np x = np.random.randn(20,4) fet_view = scatter_3d_view() fet_view.set_data(x) fet_view.show() fet_view.app.run()

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8

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false

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0

null

1

0

1

0

null

0

3

5e0cdf5792f3da1e686ba3ea5ee77ca81084fae7

4,967

py

Python

omas/tests/test_omas_examples.py

gafusion/omas

8e9b725483655db0ccbf9a4f7aa9eba7c6c04864

[ "MIT" ]

20

2017-11-07T14:36:21.000Z

2021-03-27T19:14:17.000Z

omas/tests/test_omas_examples.py

Reksoatr/omas

6740fd040d6af59e0aec54f977637b221733bd07

[ "MIT" ]

170

2017-11-09T06:40:11.000Z

2022-03-29T17:33:26.000Z

omas/tests/test_omas_examples.py

Reksoatr/omas

6740fd040d6af59e0aec54f977637b221733bd07

[ "MIT" ]

6

2017-11-22T14:44:54.000Z

2022-01-10T19:52:47.000Z

#!/usr/bin/env python # # -*- coding: utf-8 -*- """ Test script for omas/examples/... .. code-block:: none python3 -m unittest omas/tests/test_omas_examples ------- """ # Basic imports import os # Use Agg backend to avoid opening up figures import matplotlib matplotlib.use('Agg') from matplotlib import pyplot # OMAS imports from omas import * from omas.omas_utils import * from omas.tests.failed_imports import * class TestOmasExamples(UnittestCaseOmas): """ Test suite for examples files """ def tearDown(self): pyplot.close() def test_omas_units(self): from omas.examples import omas_units def test_omas_time(self): from omas.examples import omas_time def test_ods_sample(self): from omas.examples import ods_sample def test_omas_coordinates(self): from omas.examples import omas_coordinates def test_plot_quantity(self): from omas.examples import plot_quantity def test_parse_codeparameters(self): from omas.examples import parse_codeparameters @unittest.skipIf(failed_IMAS, str(failed_IMAS)) @unittest.skipIf(not_running_on_iter_cluster, str(not_running_on_iter_cluster)) def test_solps_imas(self): from omas.examples import solps_imas @unittest.skipIf((failed_IMAS or failed_OMFIT), str(failed_IMAS) + str(failed_OMFIT)) def test_geqdsk_to_from_imas(self): from omas.examples import geqdsk_to_from_imas def test_showcase_paths(self): from omas.examples import showcase_paths def test_ods_process_input_data(self): from omas.examples import ods_process_input_data @unittest.skipIf(failed_MONGO, str(failed_MONGO)) def test_omas_mongo_example(self): from omas.examples import omas_mongo_example @unittest.skipIf(failed_S3, str(failed_S3)) def test_save_load_through(self): from omas.examples import save_load_through def test_connect_gkdb(self): from omas.examples import connect_gkdb @unittest.skipIf(failed_UDA, str(failed_UDA)) def test_omas_uda_example(self): from omas.examples import omas_uda_example def test_save_load_all(self): from omas.examples import save_load_all @unittest.skipIf(failed_S3, str(failed_S3)) def test_plot_omas(self): from omas.examples import plot_omas def test_omas_resample(self): from omas.examples import omas_resample def test_uncertain(self): from omas.examples import uncertain @unittest.skipIf(failed_OMFIT, str(failed_OMFIT)) def test_plot_g_s_2_ip(self): from omas.examples import plot_g_s_2_ip def test_plot_saveload_scaling(self): from omas.examples import plot_saveload_scaling def test_across_ODSs(self): from omas.examples import across_ODSs def test_omas_cocos(self): from omas.examples import omas_cocos @unittest.skipIf(failed_IMAS, str(failed_IMAS)) @unittest.skipIf(not_running_on_iter_cluster, str(not_running_on_iter_cluster)) def test_iter_scenario(self): from omas.examples import iter_scenario @unittest.skipIf(failed_IMAS, str(failed_IMAS)) def test_simple_imas(self): from omas.examples import simple_imas def test_consistency_check(self): from omas.examples import consistency_check @unittest.skipIf(failed_OMFIT, str(failed_OMFIT)) def test_plot_omas_omfit(self): from omas.examples import plot_omas_omfit @unittest.skipIf(failed_S3, str(failed_S3)) def test_plot_omas_overlays(self): from omas.examples import plot_omas_overlays def test_omas_info(self): from omas.examples import omas_info def test_omas_dynamic_nc(self): from omas.examples import omas_dynamic_nc @unittest.skipIf(failed_IMAS, str(failed_IMAS)) def test_omas_dynamic_imas(self): from omas.examples import omas_dynamic_imas @unittest.skipIf(failed_D3D_MDS, str(failed_D3D_MDS)) def test_omas_dynamic_machine(self): from omas.examples import omas_dynamic_machine def test_omas_collection(self): from omas.examples import omas_collection def test_extra_structures(self): from omas.examples import extra_structures @unittest.skipIf(failed_IMAS, str(failed_IMAS)) @unittest.skipIf(not_running_on_cea_cluster, str(not_running_on_cea_cluster)) def test_west_geqdsk(self): from omas.examples import west_geqdsk # for filename in glob.glob(os.path.abspath(omas_dir + 'examples/*.py')): # if '__init__' in filename: # continue # name = os.path.splitext(os.path.split(filename)[1])[0] # execstring = ''' def test_{name}(self): # from omas.examples import {name} # '''.format(name=name) # print(execstring) if __name__ == '__main__': suite = unittest.TestLoader().loadTestsFromTestCase(TestOmasExamples) unittest.TextTestRunner(verbosity=2).run(suite)

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3

5e0fdb117a989e8340d8e460d0dc97be8588eade

172

py

Python

Exercicios do curso em video/pythonProject/pythonteste/aula18.py

HiCosta/Exercicios-de-Python

1dabbe8764f6742aba1d62a9ea14705534aaf6f7

[ "MIT" ]

null

Exercicios do curso em video/pythonProject/pythonteste/aula18.py

HiCosta/Exercicios-de-Python

1dabbe8764f6742aba1d62a9ea14705534aaf6f7

[ "MIT" ]

null

Exercicios do curso em video/pythonProject/pythonteste/aula18.py

HiCosta/Exercicios-de-Python

1dabbe8764f6742aba1d62a9ea14705534aaf6f7

[ "MIT" ]

null

galera = [['João', 19], ['Ana', 33], ['Joaquim', 13], ['Maria', 45]] # listas compostas print(galera[2][1]) # será exibido o número 13 por estas na lista 2 posição 1

43

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0

null

0

1

0

3

5e344ec9a8761cc211659a34c4b28d25e5abc84a

806

py

Python

vrepdemo/__init__.py

Nara0731/DRL_VREP

62dc2950f1111a2c4e311a64819562e9e9f4f6e1

[ "MIT" ]

3

2020-02-13T02:55:16.000Z

2020-05-17T01:49:49.000Z

vrepdemo/__init__.py

Nara0731/DRL_VREP

62dc2950f1111a2c4e311a64819562e9e9f4f6e1

[ "MIT" ]

null

vrepdemo/__init__.py

Nara0731/DRL_VREP

62dc2950f1111a2c4e311a64819562e9e9f4f6e1

[ "MIT" ]

1

2020-05-24T12:44:30.000Z

from gym.envs.registration import register register( id='vrep-hopper-v0', entry_point='vrepdemo.envs:HopperVrepEnv', ) register( id='vrep-twolink-v0', entry_point='vrepdemo.envs:TwoLinkVrepEnv', ) register( id='vrep-twolink1-v0', entry_point='vrepdemo.envs:TwoLink1VrepEnv', ) register( id='vrep-twolink2-v0', entry_point='vrepdemo.envs:TwoLink2VrepEnv', ) register( id='vrep-sixlink1-v0', entry_point='vrepdemo.envs:SixLink1VrepEnv', ) register( id='vrep-sixlink2-v0', entry_point='vrepdemo.envs:SixLink2VrepEnv', ) register( id='vrep-twolinkball-v0', entry_point='vrepdemo.envs:TwoLinkBallVrepEnv', ) register( id='vrep-twolinkball2-v0', entry_point='vrepdemo.envs:TwoLinkBall2VrepEnv', )

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1

0

null

0

1

0

3

eab260627da6908e607d66dc7ed4ff149e1e3b0d

328

py

Python

tests/factories.py

wagtail/wagtail-algolia-search

aac62c402ba21068e3fc2f09282b5c3d9ec6024a

[ "BSD-3-Clause" ]

null

tests/factories.py

wagtail/wagtail-algolia-search

aac62c402ba21068e3fc2f09282b5c3d9ec6024a

[ "BSD-3-Clause" ]

null

tests/factories.py

wagtail/wagtail-algolia-search

aac62c402ba21068e3fc2f09282b5c3d9ec6024a

[ "BSD-3-Clause" ]

1

2021-10-19T03:17:31.000Z

import wagtail_factories import factory from tests.models import BlogIndex, BlogPage class BlogIndexFactory(wagtail_factories.PageFactory): class Meta: model = BlogIndex class BlogPageFactory(wagtail_factories.PageFactory): class Meta: model = BlogPage introduction = factory.Faker("sentence")

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0

null

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null

0

1

0

3

eac6328d8fd0783bd802321d92079feb2186cbd6

1,110

py

Python

mannaggia/santi/api/client.py

veeso/mannaggia-py

283fcb2e7fa23856673f7041e1185af446c28315

[ "WTFPL" ]

4

2022-01-25T13:30:32.000Z

2022-01-26T08:14:17.000Z

mannaggia/santi/api/client.py

veeso/mannaggia-py

283fcb2e7fa23856673f7041e1185af446c28315

[ "WTFPL" ]

null

mannaggia/santi/api/client.py

veeso/mannaggia-py

283fcb2e7fa23856673f7041e1185af446c28315

[ "WTFPL" ]

null

""" DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE Version 2, December 2004 Copyright (C) 2022 Christian "veeso" Visintin Everyone is permitted to copy and distribute verbatim or modified copies of this license document, and changing it is allowed as long as the name is changed. DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. You just DO WHAT THE FUCK YOU WANT TO. """ from ..santo import Santo from abc import ABCMeta, abstractmethod from typing import List class ClientError(Exception): """ Client Error """ def __init__(self, message: str): self.message = message def __str__(self): return repr(self.message) def __repr__(self): return str(self.message) class Client(object): """API client to collect santi""" __metaclass__ = ABCMeta @abstractmethod def query_santi(self, amount: int) -> List[Santo]: """Query santi on remote server. Raises ClientError in case of failure""" raise NotImplementedError

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null

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ead099d080b82a7393e2b89683f657465da605bb

275

py

Python

backends/admin.py

synqs/qlue

421fcbdf8b8309340d3360d3efe0debe315b9891

[ "Apache-2.0" ]

4

2022-01-14T16:53:10.000Z

2022-02-02T12:59:06.000Z

backends/admin.py

synqs/qlue

421fcbdf8b8309340d3360d3efe0debe315b9891

[ "Apache-2.0" ]

4

2022-01-17T14:44:58.000Z

2022-02-18T08:01:02.000Z

backends/admin.py

synqs/qlue

421fcbdf8b8309340d3360d3efe0debe315b9891

[ "Apache-2.0" ]

null

""" Module that defines some basic properties of the app. """ from django.contrib import admin from django.contrib.auth.admin import UserAdmin from .models import User, Backend # Register your models here. admin.site.register(User, UserAdmin) admin.site.register(Backend)

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1

0

1

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3

eae7976a01a16a9ff35b84f53176d21013e320b3

3,116

py

Python

backend/src/webApp/userManager.py

NRizzoInc/email_messages

d15826efb4e19d6c97738df582fc767d4db9ba3e

[ "MIT" ]

1

2020-03-22T03:48:41.000Z

backend/src/webApp/userManager.py

NRizzoInc/email_messages

d15826efb4e19d6c97738df582fc767d4db9ba3e

[ "MIT" ]

31

2020-07-15T01:38:27.000Z

2020-07-20T20:55:41.000Z

backend/src/webApp/userManager.py

NRizzoInc/email_messages

d15826efb4e19d6c97738df582fc767d4db9ba3e

[ "MIT" ]

null

""" @file Responsible for handling & keeping track of multiple users to keeping their data safe and seperate """ #------------------------------STANDARD DEPENDENCIES-----------------------------# import base64 from datetime import datetime, timedelta import os #-----------------------------3RD PARTY DEPENDENCIES-----------------------------# # from werkzeug.contrib.securecookie import SecureCookie from flask import Flask, redirect, flash from flask_login import LoginManager #--------------------------------OUR DEPENDENCIES--------------------------------# from backend.src import utils from backend.src.webApp import webAppConsts from backend.src.database.databaseManager import DatabaseManager from backend.src.webApp.user import User class UserManager(LoginManager, DatabaseManager): def __init__(self, app:Flask): self.flaskApp = app # create login manager object LoginManager.__init__(self, self.flaskApp) self.createLoginManager() # Create Database Manager DatabaseManager.__init__(self) def createLoginManager(self): """ \n@Brief: Helper function that creates all the necessary login manager attributes (callbacks) \n@Note: Wrapper to provide closure for `self` """ @self.user_loader def loadUser(userToken): """ \n@Brief: When Flask app is asked for "current_user", this decorator gets the current user's User object \n@Note: Refence current user with `current_user` (from flask_login import current_user) \n@Param: userToken - The user's unique token id \n@Return: Reference to the User class related to this userToken """ return self.findUserById(userToken, User) @self.unauthorized_handler def onNeedToLogIn(): """ \n@Brief: VERY important callback that redirects the user to log in if needed -- gets triggered by "@login_required" if page is accessed without logging in """ # if user is forced to login, display this message # loginMsg = "Please log in to access this page" # flash(loginMsg) return redirect(webAppConsts.formSites["webAppLogin"]) def addUser(self, webAppUsername, webAppPassword): """ \n@Brief: Add a user \n@Param: webAppUsername - The user's username on the site \n@Param: webAppPassword - The user's password on the site \n@Note: Username has already been checked to not be a repeat """ userToken = self.createSafeCookieId() # create new email agent for each user newUserObj = User(userToken) self._addUserToColl(userToken, webAppUsername, webAppPassword, newUserObj) def removeUser(self, userToken): """ \n@Brief: Remove a user \n@Param: userToken - The user's unique token """ UserManager.userDatabase[userToken].logoutClient() del UserManager.userDatabase[userToken]

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null

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1

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3

d8016d0a62d04b5d52eb25d7124f8fe9a03cf8ff

168

py

Python

src/test/TestAffichage.py

Franckyi/Simulation-Telecom

e856b78bd1da487d52676fc97750be73858f3f30

[ "MIT" ]

null

src/test/TestAffichage.py

Franckyi/Simulation-Telecom

e856b78bd1da487d52676fc97750be73858f3f30

[ "MIT" ]

null

src/test/TestAffichage.py

Franckyi/Simulation-Telecom

e856b78bd1da487d52676fc97750be73858f3f30

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 import affichage import sequence seq = sequence.sequence_aleatoire(32) affichage.figure_sequence(seq, 0, 3) affichage.afficher()

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null

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1

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3

d81130232c05152a7ca2c88a8e9391290fec57da

118

py

Python

morsecodetoolkit/data/__init__.py

1-800-BAD-CODE/MorseCodeToolkit

349a397a01bcc3d8896676f9250194dc770e010c

[ "Apache-2.0" ]

2

2021-12-31T09:19:12.000Z

2021-12-31T19:40:12.000Z

morsecodetoolkit/data/__init__.py

1-800-BAD-CODE/MorseCodeToolkit

349a397a01bcc3d8896676f9250194dc770e010c

[ "Apache-2.0" ]

null

morsecodetoolkit/data/__init__.py

1-800-BAD-CODE/MorseCodeToolkit

349a397a01bcc3d8896676f9250194dc770e010c

[ "Apache-2.0" ]

null

from morsecodetoolkit.data.synthetic_dataset import SyntheticMorseDataset __all__ = [ "SyntheticMorseDataset" ]

16.857143

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1

null

0

1

0

null

0

3

d813704ba97dfeae49d94d4621fe18a5a3dc140a

291

py

Python

jsontab/__init__.py

anthony-aylward/jsontab

fdc739489ec047a23713e9c01a4d0bfe93682973

[ "MIT" ]

null

jsontab/__init__.py

anthony-aylward/jsontab

fdc739489ec047a23713e9c01a4d0bfe93682973

[ "MIT" ]

null

jsontab/__init__.py

anthony-aylward/jsontab

fdc739489ec047a23713e9c01a4d0bfe93682973

[ "MIT" ]

null

"""Agnostically load JSON or tabular data Functions --------- from_json load a pandas DatFrame from data in JSON format from_json_or_tab load a pandas DataFrame from data that may be in either JSON or tabular format """ from jsontab.jsontab import from_json, from_json_or_tab

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291

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0

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1

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null

0

null

0

1

0

1

0

1

0

3

d8257f1d861cb0175ac43911199f4f84786c28d0

559

py

Python

algorithms_comparisons/analysis/tests.py

eryktrzeciakiewicz/algorithms-comparisons

101cbb4ccf13c3dc607b0e6c192ab2237c78b13e

[ "MIT" ]

null

algorithms_comparisons/analysis/tests.py

eryktrzeciakiewicz/algorithms-comparisons

101cbb4ccf13c3dc607b0e6c192ab2237c78b13e

[ "MIT" ]

null

algorithms_comparisons/analysis/tests.py

eryktrzeciakiewicz/algorithms-comparisons

101cbb4ccf13c3dc607b0e6c192ab2237c78b13e

[ "MIT" ]

null

import unittest from .benchmark import benchmark class BenchmarkTest(unittest.TestCase): @classmethod def setUpClass(cls): def fun1(x): return x*x def fun2(x): return x*x*x def fun3(x): return x*x*x*x cls.functions = [fun1,fun2,fun3] cls.arguments = [i for i in range(200)] def test_benchmark_works(self): res = benchmark(self.functions, self.arguments) self.assertEqual(len(res), 2) for key in res[1]: self.assertGreater(key, 0)

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0.611111

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null

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null

0

1

0

1

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3

dc1f7911486add90e6661da427febcb676f193bc

125

py

Python

src/openhab_utils/staticconfig.py

vincentdm/openhab-utils

03e840ec2f178e3810baa41207618423b624f490

[ "BSD-3-Clause" ]

null

src/openhab_utils/staticconfig.py

vincentdm/openhab-utils

03e840ec2f178e3810baa41207618423b624f490

[ "BSD-3-Clause" ]

null

src/openhab_utils/staticconfig.py

vincentdm/openhab-utils

03e840ec2f178e3810baa41207618423b624f490

[ "BSD-3-Clause" ]

null

''' Created on 28-mei-2016 @author: vincent Static configuration, updated and generated by autoconf ''' VERSION = "0.1.0"

12.5

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0.085714

0.16

125

9

56

13.888889

0.761905

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null

0

1

0

1

0

null

0

3

dc3c46c9e31e2e9378743dd3e17be65ad72cd21f

136

py

Python

package/setup.py

mondas-mania/cipher-py

e1dd287311ab487fd54a8becee444b3d7561b63c

[ "MIT" ]

null

package/setup.py

mondas-mania/cipher-py

e1dd287311ab487fd54a8becee444b3d7561b63c

[ "MIT" ]

null

package/setup.py

mondas-mania/cipher-py

e1dd287311ab487fd54a8becee444b3d7561b63c

[ "MIT" ]

null

from setuptools import setup setup( name='cipherpy', author='David Sampson', install_requires=[ 'numpy' ] )

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136

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null

0

1

0

null

0

1

0

3

dc422fa9444ad48759cc11b5a20419cced641f05

633

py

Python

models/base_model.py

itaigat/pytorch-template

ac43b126c7a1515a004211a3e28b870f374df618

[ "MIT" ]

13

2020-09-08T18:39:56.000Z

2022-02-02T10:00:22.000Z

models/base_model.py

itaigat/pytorch-template

ac43b126c7a1515a004211a3e28b870f374df618

[ "MIT" ]

1

2021-04-21T14:32:26.000Z

2021-04-21T17:14:09.000Z

models/base_model.py

itaigat/pytorch-template

ac43b126c7a1515a004211a3e28b870f374df618

[ "MIT" ]

7

2020-12-10T07:14:22.000Z

2021-09-07T04:16:22.000Z

""" Example for a simple model """ from abc import ABCMeta from nets.fc import FCNet from torch import nn, Tensor class MyModel(nn.Module, metaclass=ABCMeta): """ Example for a simple model """ def __init__(self, input_dim: int = 50, num_hid: int = 256, output_dim: int = 2, dropout: float = 0.2): super(MyModel, self).__init__() self.classifier = FCNet([input_dim, num_hid, num_hid, output_dim], 'ReLU', dropout=dropout) def forward(self, x: Tensor) -> Tensor: """ Forward x through MyModel :param x: :return: """ return self.classifier(x)

25.32

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0.090667

0.117333

0

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633

24

108

26.375

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0

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0.333333

0

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null

0

null

0

1

0

1

0

1

0

3

dc44a33b75b83f4220e71937697ae109b126758b

173

py

Python

old/test2.py

archu2020/python-2

19c626ca9fd37168db8a7ac075fd80c8e2971313

[ "Apache-2.0" ]

48

2017-12-24T12:19:55.000Z

2022-02-26T13:14:27.000Z

old/test2.py

17610178081/python

3975c678d985c468deecd03560d882e9d316bb63

[ "Apache-2.0" ]

3

2018-12-05T08:48:14.000Z

2020-07-29T01:56:16.000Z

old/test2.py

17610178081/python

3975c678d985c468deecd03560d882e9d316bb63

[ "Apache-2.0" ]

113

2017-08-09T03:10:04.000Z

2022-03-26T16:05:01.000Z

import time print("start") start_time = time.time() temp = 0 for i in range(10000000): temp += i print(temp) end_time = time.time() print(end_time - start_time)

15.727273

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173

3.964286

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0.288288

0.216216

0

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0.202312

173

10

30

17.3

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1

0

null

1

0

null

0

3

dc4ab332c14c615c7d313f0e07788b6f23d8828c

13,701

py

Python

config.py

lstappen/SCORE

e46a0410995ea8e8eefe91065498c34a9357c11e

[ "Apache-2.0" ]

null

config.py

lstappen/SCORE

e46a0410995ea8e8eefe91065498c34a9357c11e

[ "Apache-2.0" ]

null

config.py

lstappen/SCORE

e46a0410995ea8e8eefe91065498c34a9357c11e

[ "Apache-2.0" ]

null

import os # data processing def get_basic_config(feature_type, label_type, SPLITS, HOLDOUT): config = {} config['feature_type'] = feature_type #input_type to feature_type config['label_type'] = label_type config['SPLITS'] = SPLITS config['HOLDOUT'] = HOLDOUT config['DATA_PATH'] = '.' + os.sep + 'data' config['FEATURE_PATH'] = '.' + os.sep + 'features' config['FEATURE_PATH_COMPARE'] = config['FEATURE_PATH'] + os.sep + 'compare/' config['FEATURE_PATH_LLD'] = config['FEATURE_PATH'] + os.sep + 'lld' + os.sep config['FEATURE_PATH_Spectro'] = config['FEATURE_PATH'] + os.sep + 'spectrogram' + os.sep config['FEATURE_PATH_BoAW'] = config['FEATURE_PATH'] + os.sep + 'boaw' + os.sep config['FEATURE_PATH_eGemaps'] = config['FEATURE_PATH'] + os.sep + 'egemaps' + os.sep config['FEATURE_PATH_PKLS'] = config['FEATURE_PATH'] + os.sep + 'pkls' + os.sep + config['feature_type'] + os.sep config['FEATURE_PATH_DS'] = config['FEATURE_PATH'] + os.sep + 'deepspectrum' + os.sep config['GENDER'] = ['women', 'men'] # Modify openSMILE paths here: config['SMILEexe'] = '~/opensmile-2.3.0/bin/linux_x64_standalone_static/SMILExtract' config['SMILEconf'] = '~/opensmile-2.3.0/config/ComParE_2016.conf' config['egemapsconf'] = '~/opensmile-2.3.0/config/gemaps/eGeMAPSv01a.conf' config['openXBOW'] = './tools/openXBOW.jar' #Deep Spectrum configuration config['ds'] = 'deepspectrum features' config['dsconf'] = ' -nm 256 -nl -en vgg16 -fl fc2 -m mel ' if config['feature_type'] == 'mfcc': config = get_mfcc_config(config) if config['feature_type'] == 'lld': config = get_lld_config(config) if 'boaw' in config['feature_type']: # modify BoAW settings here config = get_lld_config(config) config = get_bow_config(config) if config['feature_type'] == 'raw': config = get_raw_audio_config(config) return config def get_mfcc_config(config): # modify MFCC settings here config['num_components'] = 40 # number of MFCCs to return config['num_timesteps_mfcc'] = 44 # frames config['mfcc_max_pad_len'] = config['num_timesteps_mfcc'] config['num_channels'] = 1 return config def get_lld_config(config): # modify LDDs settings here config['num_timesteps_lld'] = 100 # frames config['lld_max_pad_len'] = config['num_timesteps_lld'] return config def get_lld_config(config): # modify LDDs settings here config['num_timesteps_lld'] = 224 # frames config['lld_max_pad_len'] = config['num_timesteps_lld'] return config def get_bow_config(config): # modify LDDs settings here config['csize'] = int(config['feature_type'].split('_')[-1]) # frames if config['csize'] not in [125, 250, 500, 1000, 2000]: print("csize not in [125, 250, 500, 1000, 2000] ") exit() #config['lld_max_pad_len'] = config['num_timesteps_lld'] return config def get_raw_audio_config(config): config['frame_rate'] = 40 # 40 ms 1 sec config['audio_length'] = 1000 config['sample_rate'] = 16000 return config # experiments # overall config def get_basic_evaluation(model_type, experiment_name, feature_type): config = {} config['feature_type'] = feature_type #input_type to feature_type config['model_type'] = model_type config['experiment_name'] = experiment_name #input_type to feature_type config['FEATURE_PATH'] = '.' + os.sep + 'features' config['FEATURE_PATH_PKLS'] = config['FEATURE_PATH'] + os.sep + 'pkls' + os.sep + config['feature_type'] + os.sep config['EXPERIMENT_PATH'] = '.' + os.sep + 'experiments' + os.sep + experiment_name + os.sep config['PLOT_PATH'] = config['EXPERIMENT_PATH'] + 'plots' + os.sep config['MODEL_PATH'] = config['EXPERIMENT_PATH'] + 'model' + os.sep config['RESULT_PATH'] = config['EXPERIMENT_PATH'] + 'results' + os.sep config['num_labels'] = 2 return config def get_lstm_config(model_type, experiment_name, feature_type): config = get_basic_evaluation(model_type, experiment_name, feature_type) config = get_mfcc_config(config) if config['feature_type'] == 'mfcc': config['lstm1_n'] = 40 config['lstm2_n'] = 40//2 config['parameter_list'] = [{ 'num_epochs': 200, 'num_batch_size': 32, 'learning_rate' : 0.0001 }, ] elif config['feature_type'] == 'lld': config['lstm1_n'] = 50 config['lstm2_n'] = 30 config['parameter_list'] = [{ 'num_epochs': 200, 'num_batch_size': 32, 'learning_rate' : 0.0001 }, ] elif config['feature_type'] == 'raw': config['lstm1_n'] = 50 config['lstm2_n'] = 30 config['parameter_list'] = [{ 'num_epochs': 200, 'num_batch_size': 32, 'learning_rate' : 0.0001 }, ] else: config['lstm1_n'] = 50 config['lstm2_n'] = 30 config['parameter_list'] = [{ 'num_epochs': 200, 'num_batch_size': 32, 'learning_rate' : 0.0001 }, ] # experiment parameter identified as best working parameters: return config # cnn specific config def get_cnn_config(model_type, experiment_name, feature_type): config = get_basic_evaluation(model_type, experiment_name, feature_type) config = get_mfcc_config(config) # experiment parameter identified as best working parameters: config['parameter_list'] = [{ 'num_epochs': 100, 'num_batch_size': 10, 'learning_rate' : 0.0001 }, { 'num_epochs': 100, 'num_batch_size': 64, 'learning_rate' : 0.00001 }] return config # cnn specific config def get_crnn_config(model_type, experiment_name, feature_type): config = get_basic_evaluation(model_type, experiment_name, feature_type) config = get_mfcc_config(config) if config['feature_type'] == 'mfcc': config['Conv1_filters'] = 10 config['Conv1_kernel_size'] = 6 config['Conv2_filters'] = 20 config['Conv2_kernel_size'] = 8 config['Conv3_filters'] = 40 config['Conv3_kernel_size'] = 10 config['lstm1_n'] = 40 config['lstm2_n'] = 40//2 config['parameter_list'] = get_parameter_optimisation() # [{ # 'num_epochs': 500, # 'num_batch_size': 32, # 'learning_rate' : 0.005 # },] elif config['feature_type'] == 'lld': config['Conv1_filters'] = 30 config['Conv1_kernel_size'] = 10 config['Conv2_filters'] = 30 config['Conv2_kernel_size'] = 8 config['Conv3_filters'] = 40 config['Conv3_kernel_size'] = 10 config['lstm1_n'] = 50 config['lstm2_n'] = 30 config['parameter_list'] = get_parameter_optimisation() # [{ # 'num_epochs': 500, # 'num_batch_size': 32, # 'learning_rate' : 0.0001 # },] if config['feature_type'] == 'raw': config['Conv1_filters'] = 40 config['Conv1_kernel_size'] = 2 config['Conv2_filters'] = 50 config['Conv2_kernel_size'] = 4 config['Conv3_filters'] = 0 config['Conv3_kernel_size'] = 8 config['lstm1_n'] = 50 config['lstm2_n'] = 40//2 config['parameter_list'] = get_parameter_optimisation() # [{ # 'num_epochs': 500, # 'num_batch_size': 50, # 'learning_rate' : 0.0001 # },] else: config['Conv1_filters'] = 10 config['Conv1_kernel_size'] = 6 config['Conv2_filters'] = 20 config['Conv2_kernel_size'] = 8 config['Conv3_filters'] = 40 config['Conv3_kernel_size'] = 10 config['lstm1_n'] = 40 config['lstm2_n'] = 40//2 config['parameter_list'] = get_parameter_optimisation() # [{ # 'num_epochs': 500, # 'num_batch_size': 32, # 'learning_rate' : 0.005 # },] # experiment parameter identified as best working parameters: return config def get_parameter_optimisation(): # test [{'num_epochs': 1, # 'num_batch_size': 16, # 'learning_rate' : 0.01}] return [ {'num_epochs': 3000, 'num_batch_size': 64, 'learning_rate' : 1e-05}] [{'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.0001}] [{'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 16, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 32, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.01}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 0.0001}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 5e-05}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 1e-05}, {'num_epochs': 500, 'num_batch_size': 64, 'learning_rate' : 1e-05},] # svm specific config def get_svm_config(model_type, experiment_name, feature_type): config = get_basic_evaluation(model_type, experiment_name, feature_type) config['svm_seq_agg'] = 'middle' # mean or middle # experiment parameter identified as best working parameters: config['parameter_list'] = [ { 'C': 1e-6, 'max_iter': 10000 }, { 'C': 1e-5, 'max_iter': 10000 }, { 'C': 1e-4, 'max_iter': 10000 }, { 'C': 1e-3, 'max_iter': 10000 }, { 'C': 1e-2, 'max_iter': 10000 }, { 'C': 1e-1, 'max_iter': 10000 }, { 'C': 1e0, 'max_iter': 10000 }, { 'C': 10, 'max_iter': 10000 } ] return config

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1

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null

0

3

dc6624ff8eca0ead6a5c32e3a2fa65a5f94b6bf2

93

py

Python

try.py

HyeseonLee/FromNode_Project

fbe8d4ce83eadfd9c6609cbc42860f798cc42941

[ "Apache-2.0" ]

1

2020-12-26T07:57:07.000Z

try.py

HyeseonLee/FromNode_Project

fbe8d4ce83eadfd9c6609cbc42860f798cc42941

[ "Apache-2.0" ]

98

2020-11-10T10:00:24.000Z

2021-06-28T23:25:31.000Z

try.py

HyeseonLee/FromNode_Project

fbe8d4ce83eadfd9c6609cbc42860f798cc42941

[ "Apache-2.0" ]

5

2020-12-26T07:57:08.000Z

2021-08-18T09:00:52.000Z

def test(a,b,c): a =1 b =2 c =3 return [1,2,3] a = test(1,2,3) print(a,test)

11.625

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null

0

1

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null

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3

dc68f7569bccdc15fdccbecf594e50e575d526f8

572

py

Python

data/base.py

enomotokenji/hat-search-ps-cvpr2020

6f7abd8def9da929fc7eb3143b07654e0e5ae70e

[ "MIT" ]

4

2020-09-06T02:12:01.000Z

2022-02-19T11:53:32.000Z

data/base.py

enomotokenji/hat-search-ps-cvpr2020

6f7abd8def9da929fc7eb3143b07654e0e5ae70e

[ "MIT" ]

null

data/base.py

enomotokenji/hat-search-ps-cvpr2020

6f7abd8def9da929fc7eb3143b07654e0e5ae70e

[ "MIT" ]

null

class BaseData: def __init__(self): self.root_dir = None self.gray = None self.div_Lint = None self.filenames = None self.L = None self.Lint = None self.mask = None self.M = None self.N = None def _load_mask(self): raise NotImplementedError def _load_M(self): raise NotImplementedError def _load_N(self): raise NotImplementedError def _to_gray(self): raise NotImplementedError def _div_Lint(self): raise NotImplementedError

22

33

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572

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null

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1

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3

dc7766669b4cd999903c5a3f1766f7b31eac0d62

888

py

Python

src/fiwtools/fiwdb/__init__.py

duynht/FIW_KRT

0869a0e2ca7335548e0a066b651011158315b14b

[ "MIT" ]

26

2018-01-23T02:11:29.000Z

2021-08-05T12:50:39.000Z

src/fiwtools/fiwdb/__init__.py

huskyjo/FIW_KRT

bc07ba242ccaf762a55c80204d7da05d55847ec5

[ "MIT" ]

2

2018-04-13T08:19:03.000Z

2020-04-19T10:59:51.000Z

src/fiwtools/fiwdb/__init__.py

huskyjo/FIW_KRT

bc07ba242ccaf762a55c80204d7da05d55847ec5

[ "MIT" ]

7

2019-07-14T01:19:46.000Z

2020-09-25T03:27:41.000Z

# from os import path, remove # import logging # import logging.config # # from .fiw import tri_subjects # # # If applicable, delete the existing log file to generate a fresh log file during each execution # # if path.isfile("python_logging.log"): # # remove("python_logging.log") # # # Create the Logger # logger = logging.getLogger(__name__) # logger.setLevel(logging.DEBUG) # # # Create the Handler for logging data to a file # logger_handler = logging.FileHandler('fiw_1.log') # # logger_handler.setLevel(logging.WARNING) # # # Create a Formatter for formatting the log messages # logger_formatter = logging.Formatter('%(asctime)s:%(name)s - %(levelname)s - %(message)s') # # # Add the Formatter to the Handler # logger_handler.setFormatter(logger_formatter) # # # Add the Handler to the Logger # logger.addHandler(logger_handler) # logger.info('Completed configuring logger()!')

31.714286

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888

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0.001309

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888

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3

dc8ea7f76cd20d0b5e24a8c006b4352964678ec2

405

py

Python

investing_algorithm_framework/core/mixins/__init__.py

coding-kitties/investing-algorithm-framework

1156acf903345ec5e6787ee8767c68e24c4daffd

[ "Apache-2.0" ]

9

2020-09-14T13:46:32.000Z

2022-02-01T15:40:12.000Z

investing_algorithm_framework/core/mixins/__init__.py

coding-kitties/investing-algorithm-framework

1156acf903345ec5e6787ee8767c68e24c4daffd

[ "Apache-2.0" ]

44

2020-12-28T16:22:20.000Z

2022-03-23T22:11:26.000Z

investing_algorithm_framework/core/mixins/__init__.py

coding-kitties/investing-algorithm-framework

1156acf903345ec5e6787ee8767c68e24c4daffd

[ "Apache-2.0" ]

2

2020-12-25T06:14:39.000Z

2022-01-19T19:00:20.000Z

from .binance_api_secret_key_specifier import BinanceApiSecretKeySpecifierMixin from .order_executors import BinanceOrderExecutorMixin from .portfolio_managers import BinancePortfolioManagerMixin from .data_providers import BinanceDataProviderMixin __all__ = [ "BinanceOrderExecutorMixin", "BinancePortfolioManagerMixin", "BinanceApiSecretKeySpecifierMixin", "BinanceDataProviderMixin" ]

33.75

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405

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36.818182

0.92033

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1

0

1

null

0

null

0

1

0

3

dc9e6fb57f9df73852dcf78993d204275059271f

127

py

Python

app/urls.py

akiracadet/django-blog

989bbaeaf86870ff28aff36a4e91c9979c238b20

[ "MIT" ]

null

app/urls.py

akiracadet/django-blog

989bbaeaf86870ff28aff36a4e91c9979c238b20

[ "MIT" ]

null

app/urls.py

akiracadet/django-blog

989bbaeaf86870ff28aff36a4e91c9979c238b20

[ "MIT" ]

null

from django.urls import path from app.views import HomeView urlpatterns = [ path('', HomeView.as_view(), name='home'), ]

15.875

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0.692913

17

127

5.117647

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127

7

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0

null

0

1

0

null

0

1

0

3

dca7f6d6e4443aa45c9ef448efdfab664323c83c

232

py

Python

pinterest/board/apps.py

platzi-pinterest/backend

6a6cb4f8cbc4c8ad01e184264486ae466f403059

[ "MIT" ]

null

pinterest/board/apps.py

platzi-pinterest/backend

6a6cb4f8cbc4c8ad01e184264486ae466f403059

[ "MIT" ]

null

pinterest/board/apps.py

platzi-pinterest/backend

6a6cb4f8cbc4c8ad01e184264486ae466f403059

[ "MIT" ]

null

""" Board App. """ from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class BoardAppConfig(AppConfig): """ Board app config.""" name = "pinterest.board" verbose_name = _("board")

21.090909

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232

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0

0.105263

0

1

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false

0

0.4

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1

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1

0

null

0

null

0

1

0

1

0

3

dcb64ccfdd92b64833628f41f0346c98cad56faf

1,123

py

Python

auto_struct/data_types/string/char.py

Valmarelox/auto_struct

ec06fc426d468d4d01f300add3081df9eda87f41

[ "MIT" ]

7

2020-09-03T20:54:13.000Z

2022-03-09T01:21:07.000Z

auto_struct/data_types/string/char.py

Valmarelox/auto_struct

ec06fc426d468d4d01f300add3081df9eda87f41

[ "MIT" ]

null

auto_struct/data_types/string/char.py

Valmarelox/auto_struct

ec06fc426d468d4d01f300add3081df9eda87f41

[ "MIT" ]

null

from typing import Union from ..int.integer import Integer from ..int import uint8_t from ...exceptions.type import ElementCountException class Char(uint8_t): """ 8-bit ASCII character """ FORMAT = 'c' def __init__(self, value: Union[bytes,Integer,int]): if isinstance(value, (Integer, int)): value = int(value) else: value = bytes(value) if len(value) != 1: raise ElementCountException(f'value has invalid length: {len(value)}, expected: 1') value = ord(value) super(Char, self).__init__(value) def __repr__(self): return repr(bytes(self.value)) def __str__(self): return chr(self.value) def __bytes__(self): return bytes(chr(self.value), 'ascii') def __int__(self): return self.value def __index__(self): return int(self) def __eq__(self, other): if isinstance(other, bytes): other = ord(other) return super(Char, self).__eq__(other) def __hash__(self): return super(Char, self).__hash__()

24.413043

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133

1,123

4.661654

0.338346

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0.062903

0.06129

0

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0.291184

1,123

45

100

24.955556

0.772613

0.0187

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false

0

0.129032

0.193548

0.677419

0

null

0

null

0

1

0

1

0

3

f4acddcbe66f5264384f0c688e761d24dbc055ff

225

py

Python

Participants/Whos_Rem/vlc-dependancy check.py

python-discord/game-jam-2020

cdcb1c2c9246825518a29b05cc39a679b36d666e

[ "MIT" ]

15

2020-04-17T12:02:14.000Z

2022-03-16T03:01:34.000Z

Participants/Whos_Rem/vlc-dependancy check.py

python-discord/game-jam-2020

cdcb1c2c9246825518a29b05cc39a679b36d666e

[ "MIT" ]

9

2020-04-25T01:57:16.000Z

2020-04-29T11:42:34.000Z

Participants/Whos_Rem/vlc-dependancy check.py

python-discord/game-jam-2020

cdcb1c2c9246825518a29b05cc39a679b36d666e

[ "MIT" ]

55

2020-04-17T12:01:11.000Z

2021-12-28T10:14:02.000Z

import vlc import time vlc_instance = vlc.Instance('--input-repeat=-1') player = vlc_instance.media_player_new() media = vlc_instance.media_new(r"main\tracks\TRACK_1.mp3") player.set_media(media) player.play() time.sleep(10)

25

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0.190476

0

0.023923

0.071111

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0

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false

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0.25

0

null

1

0

1

0

null

0

3

f4c03bcf76b691df2a4935c4fb696b9dd8390d18

81

py

Python

parking_lot/constants/parking_lot.py

shenbakeshk/parking-lot

b98d4848a790150ea34678734ace64d69925068d

[ "MIT" ]

null

parking_lot/constants/parking_lot.py

shenbakeshk/parking-lot

b98d4848a790150ea34678734ace64d69925068d

[ "MIT" ]

null

parking_lot/constants/parking_lot.py

shenbakeshk/parking-lot

b98d4848a790150ea34678734ace64d69925068d

[ "MIT" ]

null

from enum import Enum class ParkingLotEvent(Enum): PARK = 1 UNPARK = 2

11.571429

28

0.666667

11

81

4.909091

0.818182

0

0.033898

0.271605

81

6

29

13.5

0.881356

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

f4d08f5a7351dc114f5da7230909785a03b60904

86

py

Python

Python/Numpy/np-arrays.py

kamleshmugdiya/Hackerrank

2dfb3689dd6cc7848e8b3d91f8674384652e5a56

[ "MIT" ]

2

2020-05-18T14:59:34.000Z

2020-05-23T15:22:55.000Z

Python/Numpy/np-arrays.py

kamleshmugdiya/Hackerrank

2dfb3689dd6cc7848e8b3d91f8674384652e5a56

[ "MIT" ]

null

Python/Numpy/np-arrays.py

kamleshmugdiya/Hackerrank

2dfb3689dd6cc7848e8b3d91f8674384652e5a56

[ "MIT" ]

1

2018-10-09T11:43:17.000Z

import numpy as np a = input().split(' ') print (np.array(list(reversed(a)), float))

17.2

42

0.651163

14

86

4

0.857143

0

0.139535

86

4

43

21.5

0.756757

0

0.011765

0

1

0

false

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

3

f4d0d611a6464befb44dff7e930b4d24248e4c63

202

py

Python

frontend/docs/build_docs.py

FoamyGuy/circuitpython_designio_server

117699f4ea155d2853cf3d8f407c9e89fa2ae4a0

[ "MIT" ]

null

frontend/docs/build_docs.py

FoamyGuy/circuitpython_designio_server

117699f4ea155d2853cf3d8f407c9e89fa2ae4a0

[ "MIT" ]

null

frontend/docs/build_docs.py

FoamyGuy/circuitpython_designio_server

117699f4ea155d2853cf3d8f407c9e89fa2ae4a0

[ "MIT" ]

null

import os import shutil os.system("mkdocs build") try: shutil.rmtree("../../static/docs/") except FileNotFoundError: pass shutil.copytree("./site/", "../../static/docs/", dirs_exist_ok=True)

16.833333

68

0.673267

25

202

5.36

0.76

0.149254

0

0.123762

202

11

69

18.363636

0.757062

0

0.272277

0

1

0

true

0.125

0.25

0

0.25

0

1

0

null

0

null

0

1

0

3

f4f128fcbea35b0628048785f980fe0a123834b7

572

py

Python

player.py

sharifahblessing/Engineering-design-quiz

340cd652e4eea52ef5a6b14ef57a8c71cc860d03

[ "MIT" ]

null

player.py

sharifahblessing/Engineering-design-quiz

340cd652e4eea52ef5a6b14ef57a8c71cc860d03

[ "MIT" ]

null

player.py

sharifahblessing/Engineering-design-quiz

340cd652e4eea52ef5a6b14ef57a8c71cc860d03

[ "MIT" ]

null

class Player: def __init__(self, player_name, examined_step_list): self.user_name = player_name self.player_score = {} self.step_list = examined_step_list self.generate_score_dict() def generate_score_dict(self): for key in self.step_list: self.player_score[key] = 0 def update_student_score(self, engineering_step, score): self.player_score[engineering_step] = score def get_player_name(self): return self.user_name def get_player_score(self): return self.player_score

26

60

0.676573

76

572

4.697368

0.289474

0.140056

0.168067

0.112045

0

0.002326

0.248252

572

21

61

27.238095

0.827907

0

1

0.333333

false

0

0.133333

0.533333

0

null

0

null

0

1

0

1

0

3

f4f413a65134654766595d29b8027879df464466

292

py

Python

rocketchat/calls/auth/get_me.py

09labs/rocket

10b6b09c690f89e8a6f04405703708a8b32a750a

[ "MIT" ]

26

2016-08-04T07:50:06.000Z

2018-09-25T16:31:44.000Z

rocketchat/calls/auth/get_me.py

09labs/rocket

10b6b09c690f89e8a6f04405703708a8b32a750a

[ "MIT" ]

30

2019-01-03T11:40:41.000Z

2022-03-08T10:09:37.000Z

rocketchat/calls/auth/get_me.py

09labs/rocket

10b6b09c690f89e8a6f04405703708a8b32a750a

[ "MIT" ]

18

2016-11-27T00:43:18.000Z

2018-09-23T18:30:51.000Z

import logging from rocketchat.calls.base import RocketChatBase logger = logging.getLogger(__name__) class GetMe(RocketChatBase): endpoint = '/api/v1/me' def build_endpoint(self, **kwargs): return self.endpoint def post_response(self, result): return result

18.25

48

0.712329

34

292

5.941176

0.705882

0

0.004274

0.19863

292

15

49

19.466667

0.858974

0

0.034247

0

1

0.222222

false

0

0.222222

0.888889

0

null

0

null

0

1

0

1

0

3

f4fe45c453ea1fc245e11a952ea7596d37dbed81

173

py

Python

core/reports/urls.py

henrryyanez/test2

7f49391160ad6797afe83f9dae9346d320484b52

[ "MIT" ]

null

core/reports/urls.py

henrryyanez/test2

7f49391160ad6797afe83f9dae9346d320484b52

[ "MIT" ]

null

core/reports/urls.py

henrryyanez/test2

7f49391160ad6797afe83f9dae9346d320484b52

[ "MIT" ]

1

2021-02-25T00:57:35.000Z

from django.urls import path from core.reports.views import ReportSaleView urlpatterns = [ # reports path('sale/', ReportSaleView.as_view(), name='sale_report'), ]

21.625

64

0.728324

21

173

5.904762

0.714286

0

0.150289

173

8

65

21.625

0.843537

0.040462

0

0.09697

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

76105a55bfddba496d8dbb61edee457ca1b8bf86

1,934

py

Python

omnipresence/test/unit/web/test_html.py

kxz/omnipresence

ffb3dbc30d36331a68e8dea3a85db6a4d2928cd7

[ "BSD-3-Clause" ]

null

omnipresence/test/unit/web/test_html.py

kxz/omnipresence

ffb3dbc30d36331a68e8dea3a85db6a4d2928cd7

[ "BSD-3-Clause" ]

10

2016-04-05T04:36:15.000Z

2018-03-25T00:15:47.000Z

omnipresence/test/unit/web/test_html.py

kxz/omnipresence

ffb3dbc30d36331a68e8dea3a85db6a4d2928cd7

[ "BSD-3-Clause" ]

null

"""Unit tests for HTML conversions.""" # pylint: disable=missing-docstring,too-few-public-methods from __future__ import unicode_literals from twisted.trial import unittest from ....web.html import parse, textify class HTMLTestCase(unittest.TestCase): def assert_textify(self, a, b, format_output=True): self.assertEqual(textify(a, format_output), b) # str and BeautifulSoup should yield the same results. self.assertEqual(textify(parse(a), format_output), b) def test_simple(self): self.assert_textify('hello', 'hello') def test_bold_italic(self): self.assert_textify('hello', '\x02hello\x02') self.assert_textify('hello', 'hello', False) self.assert_textify('hello', '\x02he\x16llo\x16\x02') def test_sup_sub(self): self.assert_textify('1016', '\x1610^16\x16') self.assert_textify('<h1>lorem ipsum</h1>', 'lorem _ipsum') def test_whitespace(self): self.assert_textify('he l l o ', '\x02he\x16 l l o \x16\x02') self.assert_textify('he l l o ', 'he l l o', False) self.assert_textify('5.66 (22)', '5.66\x02 (22)\x02') self.assert_textify('5.66 (22)', '5.66 (22)', False) self.assert_textify('lorem <cite>ipsum dolor</cite>', '\x16lorem \x16ipsum dolor\x16\x16') def test_trailing_content(self): self.assert_textify('lorem ipsum dolor sit amet', 'lorem \x16\x02ipsum\x02 dolor \x16sit amet') self.assert_textify('lorem ipsum dolor sit amet', 'lorem ipsum dolor sit amet', False) def test_textify_tag(self): soup = parse('<a>hello</a>') self.assertEqual(textify(soup.a, format_output=False), 'hello')

40.291667

78

0.605481

274

1,934

4.149635

0.310219

0.16007

0.194371

0.092348

0.248901

0.236588

0.175902

0

0.049333

0.224405

1,934

47

79

41.148936

0.708667

0.07394

0

0.0625

0

0.306614

0.036996

0

0.53125

1

0.21875

false

0

0.09375

0

0.34375

0

null

0

1

0

null

0

1

0

1

0

3

7618b65bfee1cfb246230905b0da19b3924110ab

645

py

Python

release/stubs.min/System/Windows/Forms/__init___parts/InvalidateEventArgs.py

tranconbv/ironpython-stubs

a601759e6c6819beff8e6b639d18a24b7e351851

[ "MIT" ]

null

release/stubs.min/System/Windows/Forms/__init___parts/InvalidateEventArgs.py

tranconbv/ironpython-stubs

a601759e6c6819beff8e6b639d18a24b7e351851

[ "MIT" ]

null

release/stubs.min/System/Windows/Forms/__init___parts/InvalidateEventArgs.py

tranconbv/ironpython-stubs

a601759e6c6819beff8e6b639d18a24b7e351851

[ "MIT" ]

null

class InvalidateEventArgs(EventArgs): """ Provides data for the System.Windows.Forms.Control.Invalidated event. InvalidateEventArgs(invalidRect: Rectangle) """ def Instance(self): """ This function has been arbitrarily put into the stubs""" return InvalidateEventArgs() @staticmethod def __new__(self,invalidRect): """ __new__(cls: type,invalidRect: Rectangle) """ pass InvalidRect=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the System.Drawing.Rectangle that contains the invalidated window area. Get: InvalidRect(self: InvalidateEventArgs) -> Rectangle """

28.043478

83

0.722481

69

645

6.637681

0.637681

0.065502

0

0.168992

645

22

84

29.318182

0.854478

0.328682

0

1

0.285714

false

0.142857

0

0.714286

0

null

0

null

0

1

0

1

0

1

0

3

761d664a1b387a9f82cd1a66f22e592ef95218fa

74

py

Python

python/ex001.py

ITrivinho/MyExercises

23ba9f653fe20dbddb29fa3ec29d3a7a4e6e0a87

[ "MIT" ]

null

python/ex001.py

ITrivinho/MyExercises

23ba9f653fe20dbddb29fa3ec29d3a7a4e6e0a87

[ "MIT" ]

null

python/ex001.py

ITrivinho/MyExercises

23ba9f653fe20dbddb29fa3ec29d3a7a4e6e0a87

[ "MIT" ]

null

nome=input('Qual o seu nome?') print('Seja Bem-Vindo,',nome)

14.8

30

0.567568

11

74

3.818182

0.818182

0

0.256757

74

4

31

18.5

0.763636

0

0.418919

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

762f94f70190379a40204719e87020217326aadd

330

py

Python

python/base.py

c-okelly/advent_of_code_2017

3985f790daf8c6b296fd29a508c27b3ae5b7fb7c

[ "MIT" ]

null

python/base.py

c-okelly/advent_of_code_2017

3985f790daf8c6b296fd29a508c27b3ae5b7fb7c

[ "MIT" ]

null

python/base.py

c-okelly/advent_of_code_2017

3985f790daf8c6b296fd29a508c27b3ae5b7fb7c

[ "MIT" ]

null

def main(): puzzleInput = open("python/day01.txt", "r").read() # Part 1 assert(part1("") == 0) print(part1(puzzleInput)) # Part 2 assert(part2("") == 0) print(part2(puzzleInput)) def part1(puzzleInput): return 0 def part2(puzzleInput): return 0 if __name__ == "__main__": main()

15

54

0.578788

39

330

4.692308

0.512821

0.065574

0.196721

0

0.056911

0.254545

330

22

55

15

0.686992

0.039394

0

0.166667

0

0.079365

0

0.166667

1

0.25

false

0

0.166667

0.416667

0.166667

0

null

0

1

0

null

0

1

0

1

0

3

52113d117b6b14b402eb8a4d7f6f665d25d780a3

654

py

Python

src/data_prep/generate_data.py

Minyus/pipelinex_causallift

6cadf2eb25a2b678cff466cd86223d5cfcfac722

[ "Apache-2.0" ]

4

2020-04-29T05:27:07.000Z

2021-07-28T06:25:05.000Z

src/data_prep/generate_data.py

Minyus/pipelinex_causallift

6cadf2eb25a2b678cff466cd86223d5cfcfac722

[ "Apache-2.0" ]

1

2021-01-14T11:20:52.000Z

src/data_prep/generate_data.py

Minyus/pipelinex_causallift

6cadf2eb25a2b678cff466cd86223d5cfcfac722

[ "Apache-2.0" ]

null

from causallift import generate_data def generate_data_(params): """ # Generate simulated data # "Sleeping dogs" (a.k.a. "do-not-disturb"; people who will "buy" if not treated but will not "buy" if treated) can be simulated by negative values in tau parameter. # Observational data which includes confounding can be simulated by non-zero values in propensity_coef parameter. # A/B Test (RCT) with a 50:50 split can be simulated by all-zeros values in propensity_coef parameter (default). # The first element in each list parameter specifies the intercept. """ df = generate_data(**params) return df

34.421053

78

0.70948

95

654

4.821053

0.589474

0.078603

0.091703

0.104803

0.135371

0

0.007828

0.218654

654

18

79

36.333333

0.888454

0.743119

0

1

0

1

0.25

false

0

0.25

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

5223d1bda247bbd107d8ac535a9b7dd3b6498d7f

108

py

Python

test/test.py

m-star18/AutoHealthBot

70b4a1ce1a67812078345a76090731243f0caf6c

[ "MIT" ]

null

test/test.py

m-star18/AutoHealthBot

70b4a1ce1a67812078345a76090731243f0caf6c

[ "MIT" ]

2

2021-04-26T08:49:00.000Z

2021-05-03T04:04:58.000Z

test/test.py

m-star18/AutoHealthBot

70b4a1ce1a67812078345a76090731243f0caf6c

[ "MIT" ]

null

from src.job import AutoHealthJob def main(): AutoHealthJob() if __name__ == '__main__': main()

10.8

33

0.657407

12

108

5.25

0.75

0

0.222222

108

9

34

12

0.75

0

0.074074

0

1

0.2

true

0

0.2

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

5225075129ae1870badd38ee54ec81af5b9c42f8

574

py

Python

mojeapi/szybkistart/serializers.py

angelm1974/Bydgoszcz_2_spotkanie

377eab44cd7d39aa23c83762c2dc2514d8a1edd8

[ "MIT" ]

null

mojeapi/szybkistart/serializers.py

angelm1974/Bydgoszcz_2_spotkanie

377eab44cd7d39aa23c83762c2dc2514d8a1edd8

[ "MIT" ]

null

mojeapi/szybkistart/serializers.py

angelm1974/Bydgoszcz_2_spotkanie

377eab44cd7d39aa23c83762c2dc2514d8a1edd8

[ "MIT" ]

null

from django.contrib.auth.models import User, Group from .models import Pytanie,Odpowiedz from rest_framework import serializers class UserSerializer(serializers.HyperlinkedModelSerializer): class Meta: model=User fields=['username','email','groups','url'] class GroupSerializer(serializers.HyperlinkedModelSerializer): class Meta: model=Group fields=['name','url'] class PytanieSerializer(serializers.HyperlinkedModelSerializer): class Meta: model=Pytanie fields=['tekst_pytania','data_pub','obraz']

27.333333

64

0.71777

56

574

7.303571

0.553571

0.271394

0.308068

0.337408

0.374083

0

0.182927

574

21

65

27.333333

0.872068

0

0.2

0

0.095652

0

1

0

false

0

0.2

0

0.6

0

null

1

0

null

0

3

523e062cf54f8cceae57b88446cdffe09a594cd6

1,178

py

Python

pokerscores/api/serializers.py

nmaludy/django-pokerscores

1b854cde0bacfa3230be5b5e9bb812ca5c5f066f

[ "Apache-2.0" ]

null

pokerscores/api/serializers.py

nmaludy/django-pokerscores

1b854cde0bacfa3230be5b5e9bb812ca5c5f066f

[ "Apache-2.0" ]

6

2018-11-14T00:20:26.000Z

2018-11-14T02:17:08.000Z

pokerscores/api/serializers.py

nmaludy/django-pokerscores

1b854cde0bacfa3230be5b5e9bb812ca5c5f066f

[ "Apache-2.0" ]

1

2019-10-23T22:30:14.000Z

from django.contrib.auth.models import User, Group from rest_framework import serializers from .models import League, Profile class UserSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = User fields = ('id', 'url', 'username', 'email', 'groups') class GroupSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Group fields = ('id', 'url', 'name') class ProfileSingleSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Profile fields = ('id',) class LeagueSingleSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = League fields = ('id', 'name') class LeagueSerializer(serializers.HyperlinkedModelSerializer): profile_set = ProfileSingleSerializer(many=True, read_only=True) class Meta: model = League fields = ('id', 'name', 'profile_set') class ProfileSerializer(serializers.HyperlinkedModelSerializer): leagues = LeagueSingleSerializer(many=True, read_only=True) user = UserSerializer() class Meta: model = Profile fields = ('id', 'user', 'leagues')

25.608696

70

0.691002

107

1,178

7.560748

0.336449

0.274413

0.103832

0.227441

0.4178

0.150803

0.07911

0

0.206282

1,178

45

71

26.177778

0.865241

0

0.333333

0

0.060272

0

1

0

false

0

0.1

0

0.6

0

null

1

0

1

0

null

0

1

0

3

524758cdd3b394582730711ab61ae286665829da

601

py

Python

src/day_3.py

charlesbourget/AOC2020Py

eaed9c01ea03d865dd10ec2dab1ac68628c46c8c

[ "MIT" ]

null

src/day_3.py

charlesbourget/AOC2020Py

eaed9c01ea03d865dd10ec2dab1ac68628c46c8c

[ "MIT" ]

null

src/day_3.py

charlesbourget/AOC2020Py

eaed9c01ea03d865dd10ec2dab1ac68628c46c8c

[ "MIT" ]

null

from input_reader import * lines = read_input('day3') def traverse_terrain(terrain, hor, vert): tree = 0 x = 0 y = 0 while y < len(terrain): if x >= len(terrain[y]): x = x - len(terrain[y]) if terrain[y][x] == '#': tree += 1 x += hor y += vert return tree result = traverse_terrain(lines, 3, 1) print("Part 1 : %d" % result) result *= traverse_terrain(lines, 1, 1) result *= traverse_terrain(lines, 5, 1) result *= traverse_terrain(lines, 7, 1) result *= traverse_terrain(lines, 1, 2) print("Part 2 : %d" % result)

18.78125

41

0.565724

86

601

3.860465

0.337209

0.271084

0.316265

0.391566

0.328313

0

0.039535

0.284526

601

31

42

19.387097

0.732558

0

0.045075

0

1

0.047619

false

0

0.047619

0

0.142857

0.095238

0

null

1

0

null

0

3

5264af891beb32863ce4a79f0467423a9a4d26cf

161

py

Python

async_fastapi_jwt_auth/__init__.py

jsenecal/async-fastapi-jwt-auth

dd825f51a2e93192d4128c85b0d4a73df1a9c418

[ "MIT" ]

4

2022-02-04T08:06:32.000Z

2022-03-25T23:22:07.000Z

async_fastapi_jwt_auth/__init__.py

jsenecal/async-fastapi-jwt-auth

dd825f51a2e93192d4128c85b0d4a73df1a9c418

[ "MIT" ]

null

async_fastapi_jwt_auth/__init__.py

jsenecal/async-fastapi-jwt-auth

dd825f51a2e93192d4128c85b0d4a73df1a9c418

[ "MIT" ]

1

2022-02-16T16:26:27.000Z

"""Async fork of FastAPI extension that provides JWT Auth support (secure, easy to use and lightweight)""" __version__ = "0.5.1" from .auth_jwt import AuthJWT

26.833333

106

0.751553

25

161

4.64

0.92

0

0.022059

0.15528

161

5

107

32.2

0.830882

0.621118

0

0.090909

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

5265d80fe58e02810200f41edd06a188972cdd6a

91

py

Python

tools/azure-sdk-tools/devtools_testutils/aio/__init__.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1

2021-09-16T02:33:52.000Z

tools/azure-sdk-tools/devtools_testutils/aio/__init__.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1

2019-08-05T19:14:28.000Z

2019-08-05T19:30:05.000Z

tools/azure-sdk-tools/devtools_testutils/aio/__init__.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1

2016-04-19T22:15:47.000Z

from .proxy_testcase_async import RecordedByProxyAsync __all__ = ["RecordedByProxyAsync"]

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py

Python

tests/test_decompose_query.py

ezag/trackbelt

965be4cd04a78681fcc8e8b9647f837a011510af

[ "MIT" ]

null

tests/test_decompose_query.py

ezag/trackbelt

965be4cd04a78681fcc8e8b9647f837a011510af

[ "MIT" ]

3

2021-02-08T20:24:10.000Z

2021-06-01T21:50:53.000Z

tests/test_decompose_query.py

ezag/trackbelt

965be4cd04a78681fcc8e8b9647f837a011510af

[ "MIT" ]

null

from trackbelt import decompose_query def test_basic_query(): query = decompose_query('tricky - forget') assert query['artist'] == 'tricky' assert query['title'] == 'forget' def test_remix_query(): query = decompose_query('Evvy - Collide (Keljet Remix)') assert query['artist'] == 'Evvy' assert query['title'] == 'Collide (Keljet Remix)'

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py

Python

slicer/bin/Python/slicer/modulelogic/__init__.py

pabloduque0/WMH_AttGatedUnet_CustomLoss

3503b40c031494ca866dced1421d95f7b2e311fe

[ "MIT" ]

null

slicer/bin/Python/slicer/modulelogic/__init__.py

pabloduque0/WMH_AttGatedUnet_CustomLoss

3503b40c031494ca866dced1421d95f7b2e311fe

[ "MIT" ]

null

slicer/bin/Python/slicer/modulelogic/__init__.py

pabloduque0/WMH_AttGatedUnet_CustomLoss

3503b40c031494ca866dced1421d95f7b2e311fe

[ "MIT" ]

null

""" This module loads the Slicer Module Logic vtk classes into its namespace.""" # Import the CLI logic # HACK Ideally constant from vtkSlicerConfigure should be wrapped, # that way the following try/except could be avoided. try: from qSlicerBaseQTCLIPython import vtkSlicerCLIModuleLogic except: pass from __main__ import _qSlicerCoreApplicationInstance as app from slicer.util import importVTKClassesFromDirectory from os import path # HACK Ideally constant from vtkSlicerConfigure and vtkSlicerVersionConfigure should # be wrapped. slicer_qt_loadable_modules_lib_subdir = path.join("lib", "Slicer-%d.%d", "qt-loadable-modules") % (app.majorVersion, app.minorVersion) directory = path.join(app.slicerHome, slicer_qt_loadable_modules_lib_subdir, "Python") if not app.commandOptions().disableBuiltInLoadableModules: importVTKClassesFromDirectory(directory, __name__, filematch = "vtkSlicer*ModuleLogic.py") # Removing things the user shouldn't have to see. del app, importVTKClassesFromDirectory, directory, slicer_qt_loadable_modules_lib_subdir, path

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bff37bb93e87ba7a49829d9d729c9f9d4effaf14

826

py

Python

edd/settings/__init__.py

TeselaGen/jbei-edd

92792fb30bbd504143b2f75bf08d05b141a7ef6f

[ "BSD-3-Clause-LBNL" ]

null

edd/settings/__init__.py

TeselaGen/jbei-edd

92792fb30bbd504143b2f75bf08d05b141a7ef6f

[ "BSD-3-Clause-LBNL" ]

null

edd/settings/__init__.py

TeselaGen/jbei-edd

92792fb30bbd504143b2f75bf08d05b141a7ef6f

[ "BSD-3-Clause-LBNL" ]

null

# -*- coding: utf-8 -*- """ Settings for the Experiment Data Depot. """ # import baseline settings included in EDD's git repo from .base import * # noqa from .auth import * # noqa from .celery import * # noqa # try to load overridden settings from local.py, if present try: from .local import * # noqa except ImportError as e: print("Did not find local settings; did you rename settings/local.py-example?") # After all settings are imported, do any necessary registration of values try: from jbei.rest.auth import HmacAuth HmacAuth.register_key(ICE_KEY_ID, ICE_SECRET_HMAC_KEY) # noqa except ImportError as e: print("Failed to import REST authenticators; some features may not work.") except Exception as e: print("Failed to register ICE authenticator; connection to ICE may not work: %s" % e)

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py

Python

extra/android/src/bugengine/3rdparty/android/libklcompat/mak/build.py

bugengine/BugEngine

1b3831d494ee06b0bd74a8227c939dd774b91226

[ "BSD-3-Clause" ]

4

2015-05-13T16:28:36.000Z

2017-05-24T15:34:14.000Z

extra/android/src/bugengine/3rdparty/android/libklcompat/mak/build.py

bugengine/BugEngine

1b3831d494ee06b0bd74a8227c939dd774b91226

[ "BSD-3-Clause" ]

null

extra/android/src/bugengine/3rdparty/android/libklcompat/mak/build.py

bugengine/BugEngine

1b3831d494ee06b0bd74a8227c939dd774b91226

[ "BSD-3-Clause" ]

1

2017-03-21T08:28:07.000Z

def build(bld): bld.static_library('bugengine.3rdparty.android.libklcompat', path=bld.path.parent)

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null

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129

py

Python

webui/__init__.py

BjornFJohansson/webpcr

4d4917c94e6560389903cb9363c2b819b51cd8c8

[ "BSD-3-Clause" ]

null

webui/__init__.py

BjornFJohansson/webpcr

4d4917c94e6560389903cb9363c2b819b51cd8c8

[ "BSD-3-Clause" ]

null

webui/__init__.py

BjornFJohansson/webpcr

4d4917c94e6560389903cb9363c2b819b51cd8c8

[ "BSD-3-Clause" ]

null

"""WebUI lets you create first class desktop applications in Python with HTML/CSS""" from .webui import * __version__ = "0.2.1"

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873fec28c2dadd25bde8b6f132d841b2d3c52a3e

550

py

Python

test_gitpathlib/test_utils.py

encukou/gitpathlib

887a59920aa445209a5d699db47c6051a669a26d

[ "MIT" ]

4

2017-06-21T14:56:06.000Z

2021-01-23T18:30:09.000Z

test_gitpathlib/test_utils.py

encukou/gitpathlib

887a59920aa445209a5d699db47c6051a669a26d

[ "MIT" ]

3

2017-04-29T21:31:21.000Z

2021-05-05T08:57:02.000Z

test_gitpathlib/test_utils.py

encukou/gitpathlib

887a59920aa445209a5d699db47c6051a669a26d

[ "MIT" ]

3

2017-06-21T14:59:21.000Z

2021-04-01T22:19:52.000Z

import pytest from gitpathlib import util def test_reify(): memo = [] class C: @util.reify def reified(self): memo.append('called') return 123 c = C() assert memo == [] assert c.reified == 123 assert memo == ['called'] assert c.reified == 123 assert memo == ['called'] del c.reified assert memo == ['called'] assert c.reified == 123 assert memo == ['called', 'called'] c.reified = 321 assert c.reified == 321 assert memo == ['called', 'called']

19.642857

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null

0

1

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3

8764c87eadfad3f1e881a33b70e0e2a42b5730a7

102

py

Python

python/iteration.py

math-solutions/math-fibonacci-sequence

e3b8dc5d54a69ff43d94e927065ffa328c1baab1

[ "Ruby", "MIT" ]

1

2019-07-27T13:10:37.000Z

python/iteration.py

math-solutions/math-fibonacci-sequence

e3b8dc5d54a69ff43d94e927065ffa328c1baab1

[ "Ruby", "MIT" ]

null

python/iteration.py

math-solutions/math-fibonacci-sequence

e3b8dc5d54a69ff43d94e927065ffa328c1baab1

[ "Ruby", "MIT" ]

null

def fib(n): a, b = 0, 1 for i in range(n): a, b = b, a + b return a #execute print fib(10)

11.333333

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23

102

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0

0.058824

0.333333

102

8

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0.068627

0

null

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0.166667

1

0

null

0

1

0

null

0

1

0

3

8777fd592c469e6e5d00c7e76708fd21dc585825

680

py

Python

skfem/mesh/__init__.py

carlosal1015/scikit-fem

1e73a417e9b43fe0a36e29807792c41fa289b77d

[ "BSD-3-Clause" ]

null

skfem/mesh/__init__.py

carlosal1015/scikit-fem

1e73a417e9b43fe0a36e29807792c41fa289b77d

[ "BSD-3-Clause" ]

null

skfem/mesh/__init__.py

carlosal1015/scikit-fem

1e73a417e9b43fe0a36e29807792c41fa289b77d

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """This module contains different types of finite element meshes. Meshes are created using various built-in constructors or loaded from external formats using `meshio <https://github.com/nschloe/meshio>`_. See the following implementations: - :class:`~skfem.mesh.MeshTri`, triangular mesh - :class:`~skfem.mesh.MeshQuad`, quadrilateral mesh - :class:`~skfem.mesh.MeshTet`, tetrahedral mesh - :class:`~skfem.mesh.MeshHex`, hexahedral mesh - :class:`~skfem.mesh.MeshLine`, one-dimensional mesh """ from .mesh import Mesh, MeshType from .mesh_line import MeshLine from .mesh2d import Mesh2D, MeshTri, MeshQuad from .mesh3d import Mesh3D, MeshTet, MeshHex

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1

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3

5e5f861d8ffe4a50f01cf7309ea75b881bca061b

63

py

Python

Python/Tests/TestData/DebuggerProject/InfiniteRun.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

404

2019-05-07T02:21:57.000Z

2022-03-31T17:03:04.000Z

Python/Tests/TestData/DebuggerProject/InfiniteRun.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

1,672

2019-05-06T21:09:38.000Z

2022-03-31T23:16:04.000Z

Python/Tests/TestData/DebuggerProject/InfiniteRun.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

186

2019-05-13T03:17:37.000Z

2022-03-31T16:24:05.000Z

x = 1000000 while True: y = x z = x + 1 x = z + 1

9

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0

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null

0

1

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1

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null

0

3

5e6026263c3f03188d84b6a23310236265aab989

418

py

Python

kaggle/otto-group-product-classification-challenge/script_20.py

josepablocam/janus-public

4713092b27d02386bdb408213d8edc0dc5859eec

[ "MIT" ]

null

kaggle/otto-group-product-classification-challenge/script_20.py

josepablocam/janus-public

4713092b27d02386bdb408213d8edc0dc5859eec

[ "MIT" ]

null

kaggle/otto-group-product-classification-challenge/script_20.py

josepablocam/janus-public

4713092b27d02386bdb408213d8edc0dc5859eec

[ "MIT" ]

null

import pandas as pd import sklearn from sklearn.preprocessing import LabelEncoder from sklearn.cross_validation import train_test_split from sklearn.ensemble import RandomForestClassifier, BaggingClassifier from sklearn.metrics import log_loss # Checking to make sure this updated correctly print('The scikit-learn version is {}.'.format(sklearn.__version__)) from sklearn.calibration import CalibratedClassifierCV

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null

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0

3

5e6a39479fb5946a93bb88da1c844457e51e1121

5,600

py

Python

tests/integration/factories/syndic/test_syndic.py

cmcmarrow/pytest-salt-factories

12515411ea0fa11d7058a9deb61584a56c5f5108

[ "Apache-2.0" ]

null

tests/integration/factories/syndic/test_syndic.py

cmcmarrow/pytest-salt-factories

12515411ea0fa11d7058a9deb61584a56c5f5108

[ "Apache-2.0" ]

null

tests/integration/factories/syndic/test_syndic.py

cmcmarrow/pytest-salt-factories

12515411ea0fa11d7058a9deb61584a56c5f5108

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import pytest @pytest.fixture(scope="module") def master_of_masters(request, salt_factories): """ This is the master of all masters, top of the chain """ return salt_factories.spawn_master(request, "master-of-masters", order_masters=True) @pytest.fixture(scope="module") def minion_1(request, salt_factories, master_of_masters): """ This minion connects to the master-of-masters directly """ assert master_of_masters.is_alive() return salt_factories.spawn_minion(request, "minion-1", master_id="master-of-masters") @pytest.fixture(scope="module") def configure_syndic(request, salt_factories, master_of_masters, minion_1): """ This syndic will run in tandem with a master and minion which share the same ID, connected to the upstream master-of-masters master. """ return salt_factories.configure_syndic( request, "syndic-1", master_of_masters_id=master_of_masters.config["id"], ) @pytest.fixture(scope="module") def syndic_master(request, salt_factories, master_of_masters, configure_syndic): """ This is a second master, which will connect to master-of-masters through the syndic. We depend on the minion_1 fixture just so we get both the master-of-masters and minion-1 fixtures running when this master starts. """ return salt_factories.spawn_master( request, "syndic-1", master_of_masters_id=master_of_masters.config["id"], ) @pytest.fixture(scope="module") def syndic_minion(request, salt_factories, syndic_master): """ This is a second master, which will connect to master-of-masters through the syndic. We depend on the minion_1 fixture just so we get both the master-of-masters and minion-1 fixtures running when this master starts. """ assert syndic_master.is_alive() return salt_factories.spawn_minion(request, "syndic-1", master_id=syndic_master.config["id"]) @pytest.fixture(scope="module") def minion_2(request, salt_factories, syndic_master): """ This minion will connect to the syndic-1 master """ assert syndic_master.is_alive() return salt_factories.spawn_minion(request, "minion-2", master_id=syndic_master.config["id"]) @pytest.fixture(scope="module") def master_of_masters_salt_cli(salt_factories, master_of_masters, minion_1): """ This is the 'salt' CLI tool, connected to master-of-masters. Should be able to ping minion-1 directly connected to it and minion-2 through the syndic """ assert master_of_masters.is_alive() assert minion_1.is_alive() return salt_factories.get_salt_cli(master_of_masters.config["id"]) @pytest.fixture(scope="module") def syndic_master_salt_cli(salt_factories, syndic_master, syndic_minion, minion_2): """ This is the 'salt' CLI tool, connected to master-of-masters. Should be able to ping minion-1 directly connected to it and minion-2 through the syndic """ assert syndic_master.is_alive() assert syndic_minion.is_alive() assert minion_2.is_alive() return salt_factories.get_salt_cli(syndic_master.config["id"]) @pytest.fixture(scope="module") def syndic( request, salt_factories, master_of_masters, minion_1, syndic_master, syndic_minion, minion_2 ): """ This syndic will run in tandem with master-2, connected to the upstream master-of-masters master. """ assert master_of_masters.is_alive() assert minion_1.is_alive() assert syndic_master.is_alive() assert syndic_minion.is_alive() assert minion_2.is_alive() return salt_factories.spawn_syndic( request, syndic_master.config["id"], master_of_masters_id=master_of_masters.config["id"] ) @pytest.fixture(scope="module") def salt_cli(master_of_masters_salt_cli, syndic_master_salt_cli, syndic): return master_of_masters_salt_cli def test_minion_1(master_of_masters_salt_cli): """ Just test that we can ping minion-1 """ ret = master_of_masters_salt_cli.run("test.ping", minion_tgt="minion-1", _timeout=60) assert ret.exitcode == 0, ret assert ret.json is True, ret def test_minion_syndic_1(syndic_master_salt_cli): """ Just test that we can ping minion-1 """ ret = syndic_master_salt_cli.run("test.ping", minion_tgt="syndic-1", _timeout=60) assert ret.exitcode == 0, ret assert ret.json is True, ret def test_minion_2(syndic_master_salt_cli): """ Just test that we can ping minion-2 """ ret = syndic_master_salt_cli.run("test.ping", minion_tgt="minion-2", _timeout=60) assert ret.exitcode == 0, ret assert ret.json is True, ret @pytest.mark.skip("Syndics are still broken. Moving on for now") def test_syndic(syndic, salt_cli): assert syndic.is_alive() # Are we able to ping the minion connected to the master-of-masters ret = salt_cli.run("test.ping", minion_tgt="minion-1", _timeout=60) assert ret.exitcode == 0, ret assert ret.json is True, ret # Are we able to ping the minions connected to the syndic-master ret = salt_cli.run("test.ping", minion_tgt="syndic-1", _timeout=60) assert ret.exitcode == 0, ret assert ret.json is True, ret ret = salt_cli.run("test.ping", minion_tgt="minion-2", _timeout=60) assert ret.exitcode == 0, ret assert ret.json is True, ret # Are we able to ping all of them? ret = salt_cli.run("test.ping", minion_tgt="*", _timeout=60) assert ret.exitcode == 0, ret assert "minion-1" in ret.json assert ret.json["minion-1"] is True assert "minion-2" in ret.json assert ret.json["minion-2"] is True

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0

null

0

1

0

null

0

3

5e71ac50bbd2d84ad7a360a68e1c1ba8c1fb7e92

159

py

Python

lino_book/projects/lydia/tests/dumps/18.12.0/cal_subscription.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

3

2016-08-25T05:58:09.000Z

2019-12-05T11:13:45.000Z

lino_book/projects/lydia/tests/dumps/18.12.0/cal_subscription.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

18

2016-11-12T21:38:58.000Z

2019-12-03T17:54:38.000Z

lino_book/projects/lydia/tests/dumps/18.12.0/cal_subscription.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

9

2016-10-15T11:12:33.000Z

2021-09-22T04:37:37.000Z

# -*- coding: UTF-8 -*- logger.info("Loading 0 objects to table cal_subscription...") # fields: id, user, calendar, is_hidden loader.flush_deferred_objects()

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5e91ac41cafdd2318d4b204fa814109bed2cb214

235

py

Python

Allswap_djangoREST/backend/allswap/products/api/urls.py

yds05238/AllSwap_Backend

95429fe6c709feef6b9e4b2349921e1cc4dd4c18

[ "MIT" ]

2

2020-02-19T05:06:49.000Z

2020-02-20T17:34:41.000Z

Allswap_djangoREST/backend/allswap/products/api/urls.py

yds05238/AllSwap_Backend

95429fe6c709feef6b9e4b2349921e1cc4dd4c18

[ "MIT" ]

28

2020-06-05T20:52:59.000Z

2022-03-12T00:15:17.000Z

Allswap_djangoREST/backend/allswap/products/api/urls.py

yds05238/AllSwap

95429fe6c709feef6b9e4b2349921e1cc4dd4c18

[ "MIT" ]

null

from django.urls import path from products.api.views import ProductViewSet from rest_framework.routers import DefaultRouter router = DefaultRouter() router.register(r'', ProductViewSet, basename='products') urlpatterns = router.urls

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5ea94661e51a087c23ef2fe43cdfed120cd83cf4

104

py

Python

constants.py

AspirantPy/quizbot

361d2685ba9106cf3b4e5d20c4533a39e39249ec

[ "Unlicense" ]

null

constants.py

AspirantPy/quizbot

361d2685ba9106cf3b4e5d20c4533a39e39249ec

[ "Unlicense" ]

null

constants.py

AspirantPy/quizbot

361d2685ba9106cf3b4e5d20c4533a39e39249ec

[ "Unlicense" ]

1

2022-01-21T14:25:35.000Z

# Str! API_TOKEN = 'YOUR TOKEN GOES HERE' # Int! ADMIN_ID = 'USER_ID OF PERSON(s) DESIGNATED AS ADMINS'

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5eb1493f4f5b2737e31f4d927d371240987a46fa

770

py

Python

Python/Code/Thermal_Models/models/__init__.py

mhasoba/TPCFitting

29b5e32c2e830ab0a909034aa439fc4424617401

[ "MIT" ]

null

Python/Code/Thermal_Models/models/__init__.py

mhasoba/TPCFitting

29b5e32c2e830ab0a909034aa439fc4424617401

[ "MIT" ]

null

Python/Code/Thermal_Models/models/__init__.py

mhasoba/TPCFitting

29b5e32c2e830ab0a909034aa439fc4424617401

[ "MIT" ]

1

2019-03-14T11:46:08.000Z

#!/usr/bin/env python3 """ This directory contains classes representing each growth model. """ from .linear_models import boltzmann_arrhenius, \ lm from .schoolfield_models import schoolfield_two_factor, \ schoolfield_two_factor_tpk, \ schoolfield_full, \ schoolfield_full_tpk from .weighted_models import boltzmann_arrhenius_two_weights_linear, \ boltzmann_arrhenius_two_weights_non_linear, \ boltzmann_arrhenius_two_weights_normalise_only, \ boltzmann_arrhenius_one_weight_linear, \ boltzmann_arrhenius_one_weight_non_linear

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null

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3

5ec20165dc81f6f3b0903a35a11cb6fe8b4b8c70

290

py

Python

tests/filter_request_test.py

MONICA-Project/GOST-tools

08f0b5bc47e5ab683c6dffe90e8cfdff4305eab4

[ "BSD-2-Clause" ]

null

tests/filter_request_test.py

MONICA-Project/GOST-tools

08f0b5bc47e5ab683c6dffe90e8cfdff4305eab4

[ "BSD-2-Clause" ]

null

tests/filter_request_test.py

MONICA-Project/GOST-tools

08f0b5bc47e5ab683c6dffe90e8cfdff4305eab4

[ "BSD-2-Clause" ]

null

import requests import checking_functions #res = requests.get("http://localhost:8080/v1.0/Datastreams?$filter=name eq 'test-6'") #obj = res.json() #print(obj["value"]) res = checking_functions.get_item_by_name("http://localhost:8080/v1.0/Datastreams?$filter=name eq 'test-6'") print(res)

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3

0d6c80d9faeb015b83d1a4e111fb4a9d4d95169d

243

py

Python

test/tests/test_open_usb_camera.py

computerboy0555/GBVision

79fc9ba09865bfd9c7a39abaa3980c46ce090b07

[ "Apache-2.0" ]

16

2019-04-15T18:52:58.000Z

2022-02-13T23:00:46.000Z

test/tests/test_open_usb_camera.py

computerboy0555/GBVision

79fc9ba09865bfd9c7a39abaa3980c46ce090b07

[ "Apache-2.0" ]

2

2019-04-15T19:00:05.000Z

2019-04-19T15:47:21.000Z

test/tests/test_open_usb_camera.py

computerboy0555/GBVision

79fc9ba09865bfd9c7a39abaa3980c46ce090b07

[ "Apache-2.0" ]

3

2019-05-03T13:48:25.000Z

2019-09-22T14:03:49.000Z

import unittest import gbvision as gbv class TestOpenUSBCamera(unittest.TestCase): def test_connect_to_camera(self): camera = gbv.USBCamera(0) self.assertTrue(camera.is_opened()) self.assertTrue(camera.read()[0])

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243

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null

0

1

0

1

0

null

0

1

0

3

0d77569a3580b4c55dfed97aa76bba36804b7503

851

py

Python

movie_douban/sql_conn.py

saberbin/small_spider

d3c14681a5bb2b068fe5afb23d637d21b8fa76aa

[ "Apache-2.0" ]

null

movie_douban/sql_conn.py

saberbin/small_spider

d3c14681a5bb2b068fe5afb23d637d21b8fa76aa

[ "Apache-2.0" ]

null

movie_douban/sql_conn.py

saberbin/small_spider

d3c14681a5bb2b068fe5afb23d637d21b8fa76aa

[ "Apache-2.0" ]

null

import pymysql class sql_conn(object): def __init__(self, host='localhost', port=3306, user='root', password='mysql', database, charset='utf8'): self.conn = pymysql.connect(host=host, port=port, user=user, password=password, database=database, charset='utf8') self.cursor = self.conn.cursor() def exit_sql(self): try: self.cursor.close() except Exception as e: pass try: self.conn.close() except Exception as e: pass print('SQL connect had closed.') def close_corsor(self): try: self.cursor.close() except Exception as e: pass def create_cursor(self): try: self.conn.cursor() except Exception as e: pass

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1

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1

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3

0d7ff7b1bec7f69eca478377542c1ae6dd1af0d0

7,089

py

Python

example.py

kaplanbr/Adversarial-Predictor

7649cffb2fac9aa81ccf18751e96f952563a0e0f

[ "MIT" ]

null

example.py

kaplanbr/Adversarial-Predictor

7649cffb2fac9aa81ccf18751e96f952563a0e0f

[ "MIT" ]

null

example.py

kaplanbr/Adversarial-Predictor

7649cffb2fac9aa81ccf18751e96f952563a0e0f

[ "MIT" ]

null

# -*- coding: utf-8 -*- from AdversarialPredictor import AdversarialPredictionClassifier #dependencies %matplotlib inline import matplotlib.pyplot as plt import numpy as np from sklearn import datasets from sklearn.linear_model import LogisticRegression from sklearn.gaussian_process import GaussianProcessClassifier from sklearn.gaussian_process.kernels import RBF #download dataset iris_dataset = datasets.load_iris() #limit features to sepal and petal lenght X = iris_dataset["data"][:,[0,2]] y = iris_dataset["target"] #limited sample with virginica and versicolor species Xt = X[y<>0] yt = y[y<>0] Xs = X[y==0] #setosa sample #2 class model fit m_logr = LogisticRegression() m_logr.fit(Xt,yt) #3 class plot plt.title('3-class plot') plt.scatter(X[:,0][y==0],X[:,1][y==0], label="setosa",color="green",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("3-class.pdf") #2 class plot plt.title('2-class plot') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("2-class.pdf") #2 class logistic regression decision boundary xx, yy = np.mgrid[4:8:.01, 0.5:7.5:.01] grid = np.c_[xx.ravel(), yy.ravel()] probs = m_logr.predict_proba(grid)[:, 1].reshape(xx.shape) plt.title('2-class Logistic Regression Decision Boundary') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.contour(xx, yy, probs, levels=[.5], colors="black") plt.savefig("2-class-logr.pdf") #3 class logistic regression probabilistic decision boundary xx, yy = np.mgrid[4:8:0.01, 0.5:7.5:0.01] Z = m_logr.predict_proba(np.vstack((xx.ravel(), yy.ravel())).T)[:, 1] Z = Z.reshape(xx.shape) image = plt.imshow(Z.T, interpolation='nearest', extent=(4, 8, 0.5, 7.5), aspect='auto', origin='lower', cmap=plt.cm.RdBu) plt.colorbar(image) plt.title('2-class Logistic Regression\n Probabilistic Decision Boundary') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==0],X[:,1][y==0], label="setosa",color="green",edgecolors=(0, 0, 0)) plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("2-class-logr-prob.pdf") #gaussian process decision map xx, yy = np.mgrid[4:8:0.05, 0.5:7.5:0.05] kernel = 1.0 * RBF([1.0, 1.0])#rbf_anisotropic m_gpc = GaussianProcessClassifier(kernel=kernel).fit(Xt, yt) Z = m_gpc.predict_proba(np.vstack((xx.ravel(), yy.ravel())).T)[:, 1] Z = Z.reshape(xx.shape) image = plt.imshow(Z.T, interpolation='nearest', extent=(4, 8, 0.5, 7.5), aspect='auto', origin='lower', cmap=plt.cm.RdBu) plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==0],X[:,1][y==0], label="setosa",color="green",edgecolors=(0, 0, 0)) plt.colorbar(image) plt.title("2-class RBF Gaussian Process Classifier\n Decision Map") plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("2-class-gpc-prob.pdf") #adversarial predictor classifier m_apc = AdversarialPredictionClassifier() m_apc.fit(Xt,yt) xx, yy = np.mgrid[4:8:0.05, 0.5:7.5:0.05] Z = m_apc.predict_conf(np.vstack((xx.ravel(), yy.ravel())).T) Z_a = [] for i in Z: if i[0][0]>i[0][1]: Z_a.append(0.5-i[1]/2.) else: Z_a.append(0.5+i[1]/2.) Z_a = np.array(Z_a) Z_a = Z_a.reshape(xx.shape) image = plt.imshow(Z_a.T, interpolation='nearest', extent=(4, 8,0.5, 7.5), aspect='auto', origin='lower', cmap=plt.cm.RdBu) plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==0],X[:,1][y==0], label="setosa",color="green",edgecolors=(0, 0, 0)) plt.colorbar(image) plt.title("2-class Adversarial Predictor Classifier\n Confidence Map") plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("2-class-apc-prob4.pdf") #visual description of apc pred = m_apc.predict_conf(Xs[1].reshape(1,2)) X_cand = np.array(m_apc.X_cand) plt.title('Predicting new sample x') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X[:,0][y==2],X[:,1][y==2], label="virginica",color="blue",edgecolors=(0, 0, 0)) plt.scatter(Xs[1][0],Xs[1][1], label="new sample to be predicted",color="grey",edgecolors=(0, 0, 0),marker="x") plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("new-sample.pdf") plt.title('Base classifier prediction: versicolor') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(Xs[1][0],Xs[1][1], label="new sample to be predicted",color="grey",edgecolors=(0, 0, 0),marker="x") plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("versicolor-predicted.pdf") plt.title('Adversarial sample is generated') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X_cand[:,0],X_cand[:,1], label="adversarial sample",color="grey",edgecolors=(0, 0, 0),marker="x") plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.legend() plt.savefig("adversarial-sample.pdf") xx, yy = np.mgrid[4:8:.01, 0.5:7.5:.01] grid = np.c_[xx.ravel(), yy.ravel()] probs = m_apc.m_adv.predict_proba(grid)[:, 1].reshape(xx.shape) plt.title('High accuracy means low confidence') plt.scatter(X[:,0][y==1],X[:,1][y==1], label="versicolor",color="red",edgecolors=(0, 0, 0)) plt.scatter(X_cand[:,0],X_cand[:,1], label="adversarial sample",color="grey",edgecolors=(0, 0, 0),marker="x") plt.xlabel("Sepal Length") plt.ylabel("Petal Length") plt.xlim(4,8) plt.ylim(0.5,7.5) plt.contour(xx, yy, probs, levels=[.5], colors="black") plt.legend() plt.savefig("confidence-classifier.pdf")

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null

0

1

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3

0d847fd190a809d461b7897cd1efeb594a9afa5f

13,556

py

Python

bitfield/tests/tests.py

mattcaldwell/django-bitfield

c7fbbfa79a61e68a7bce246a62b65ca5a4edf27f

[ "Apache-2.0" ]

1

2015-11-04T16:24:57.000Z

bitfield/tests/tests.py

mattcaldwell/django-bitfield

c7fbbfa79a61e68a7bce246a62b65ca5a4edf27f

[ "Apache-2.0" ]

null

bitfield/tests/tests.py

mattcaldwell/django-bitfield

c7fbbfa79a61e68a7bce246a62b65ca5a4edf27f

[ "Apache-2.0" ]

null

from django.db import connection from django.db.models import F from django.test import TestCase from bitfield import BitHandler, Bit from bitfield.tests import BitFieldTestModel, CompositeBitFieldTestModel class BitHandlerTest(TestCase): def test_defaults(self): bithandler = BitHandler(0, ('FLAG_0', 'FLAG_1', 'FLAG_2', 'FLAG_3')) # Default value of 0. self.assertEquals(int(bithandler), 0) # Test bit numbers. self.assertEquals(int(bithandler.FLAG_0.number), 0) self.assertEquals(int(bithandler.FLAG_1.number), 1) self.assertEquals(int(bithandler.FLAG_2.number), 2) self.assertEquals(int(bithandler.FLAG_3.number), 3) # Negative test non-existant key. self.assertRaises(AttributeError, lambda: bithandler.FLAG_4) # Test bool(). self.assertEquals(bool(bithandler.FLAG_0), False) self.assertEquals(bool(bithandler.FLAG_1), False) self.assertEquals(bool(bithandler.FLAG_2), False) self.assertEquals(bool(bithandler.FLAG_3), False) def test_nonzero_default(self): bithandler = BitHandler(1, ('FLAG_0', 'FLAG_1', 'FLAG_2', 'FLAG_3')) self.assertEquals(bool(bithandler.FLAG_0), True) self.assertEquals(bool(bithandler.FLAG_1), False) self.assertEquals(bool(bithandler.FLAG_2), False) self.assertEquals(bool(bithandler.FLAG_3), False) bithandler = BitHandler(2, ('FLAG_0', 'FLAG_1', 'FLAG_2', 'FLAG_3')) self.assertEquals(bool(bithandler.FLAG_0), False) self.assertEquals(bool(bithandler.FLAG_1), True) self.assertEquals(bool(bithandler.FLAG_2), False) self.assertEquals(bool(bithandler.FLAG_3), False) bithandler = BitHandler(3, ('FLAG_0', 'FLAG_1', 'FLAG_2', 'FLAG_3')) self.assertEquals(bool(bithandler.FLAG_0), True) self.assertEquals(bool(bithandler.FLAG_1), True) self.assertEquals(bool(bithandler.FLAG_2), False) self.assertEquals(bool(bithandler.FLAG_3), False) bithandler = BitHandler(4, ('FLAG_0', 'FLAG_1', 'FLAG_2', 'FLAG_3')) self.assertEquals(bool(bithandler.FLAG_0), False) self.assertEquals(bool(bithandler.FLAG_1), False) self.assertEquals(bool(bithandler.FLAG_2), True) self.assertEquals(bool(bithandler.FLAG_3), False) def test_mutation(self): bithandler = BitHandler(0, ('FLAG_0', 'FLAG_1', 'FLAG_2', 'FLAG_3')) self.assertEquals(bool(bithandler.FLAG_0), False) self.assertEquals(bool(bithandler.FLAG_1), False) self.assertEquals(bool(bithandler.FLAG_2), False) self.assertEquals(bool(bithandler.FLAG_3), False) bithandler = BitHandler(bithandler | 1, bithandler._keys) self.assertEquals(bool(bithandler.FLAG_0), True) self.assertEquals(bool(bithandler.FLAG_1), False) self.assertEquals(bool(bithandler.FLAG_2), False) self.assertEquals(bool(bithandler.FLAG_3), False) bithandler ^= 3 self.assertEquals(int(bithandler), 2) self.assertEquals(bool(bithandler & 1), False) bithandler.FLAG_0 = False self.assertEquals(bithandler.FLAG_0, False) bithandler.FLAG_1 = True self.assertEquals(bithandler.FLAG_0, False) self.assertEquals(bithandler.FLAG_1, True) bithandler.FLAG_2 = False self.assertEquals(bithandler.FLAG_0, False) self.assertEquals(bithandler.FLAG_1, True) self.assertEquals(bithandler.FLAG_2, False) class BitTest(TestCase): def test_int(self): bit = Bit(0) self.assertEquals(int(bit), 1) self.assertEquals(bool(bit), True) self.assertFalse(not bit) def test_comparison(self): self.assertEquals(Bit(0), Bit(0)) self.assertNotEquals(Bit(1), Bit(0)) self.assertNotEquals(Bit(0, 0), Bit(0, 1)) self.assertEquals(Bit(0, 1), Bit(0, 1)) self.assertEquals(Bit(0), 1) def test_and(self): self.assertEquals(1 & Bit(2), 0) self.assertEquals(1 & Bit(0), 1) self.assertEquals(1 & ~Bit(0), 0) self.assertEquals(Bit(0) & Bit(2), 0) self.assertEquals(Bit(0) & Bit(0), 1) self.assertEquals(Bit(0) & ~Bit(0), 0) def test_or(self): self.assertEquals(1 | Bit(2), 5) self.assertEquals(1 | Bit(5), 33) self.assertEquals(1 | ~Bit(2), -5) self.assertEquals(Bit(0) | Bit(2), 5) self.assertEquals(Bit(0) | Bit(5), 33) self.assertEquals(Bit(0) | ~Bit(2), -5) def test_xor(self): self.assertEquals(1 ^ Bit(2), 5) self.assertEquals(1 ^ Bit(0), 0) self.assertEquals(1 ^ Bit(1), 3) self.assertEquals(1 ^ Bit(5), 33) self.assertEquals(1 ^ ~Bit(2), -6) self.assertEquals(Bit(0) ^ Bit(2), 5) self.assertEquals(Bit(0) ^ Bit(0), 0) self.assertEquals(Bit(0) ^ Bit(1), 3) self.assertEquals(Bit(0) ^ Bit(5), 33) self.assertEquals(Bit(0) ^ ~Bit(2), -6) class BitFieldTest(TestCase): def test_basic(self): # Create instance and make sure flags are working properly. instance = BitFieldTestModel.objects.create(flags=1) self.assertTrue(instance.flags.FLAG_0) self.assertFalse(instance.flags.FLAG_1) self.assertFalse(instance.flags.FLAG_2) self.assertFalse(instance.flags.FLAG_3) def test_regression_1425(self): # Creating new instances shouldn't allow negative values. instance = BitFieldTestModel.objects.create(flags=-1) self.assertEqual(instance.flags._value, 15) self.assertTrue(instance.flags.FLAG_0) self.assertTrue(instance.flags.FLAG_1) self.assertTrue(instance.flags.FLAG_2) self.assertTrue(instance.flags.FLAG_3) cursor = connection.cursor() flags_field = BitFieldTestModel._meta.get_field_by_name('flags')[0] flags_db_column = flags_field.db_column or flags_field.name cursor.execute("INSERT INTO %s (%s) VALUES (-1)" % (BitFieldTestModel._meta.db_table, flags_db_column)); # There should only be the one row we inserted through the cursor. instance = BitFieldTestModel.objects.get(flags=-1) self.assertTrue(instance.flags.FLAG_0) self.assertTrue(instance.flags.FLAG_1) self.assertTrue(instance.flags.FLAG_2) self.assertTrue(instance.flags.FLAG_3) instance.save() self.assertEqual(BitFieldTestModel.objects.filter(flags=15).count(), 2) self.assertEqual(BitFieldTestModel.objects.filter(flags__lt=0).count(), 0) def test_select(self): BitFieldTestModel.objects.create(flags=3) self.assertTrue(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_1).exists()) self.assertTrue(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_0).exists()) self.assertFalse(BitFieldTestModel.objects.exclude(flags=BitFieldTestModel.flags.FLAG_0).exists()) self.assertFalse(BitFieldTestModel.objects.exclude(flags=BitFieldTestModel.flags.FLAG_1).exists()) def test_update(self): instance = BitFieldTestModel.objects.create(flags=0) self.assertFalse(instance.flags.FLAG_0) BitFieldTestModel.objects.filter(pk=instance.pk).update(flags=F('flags') | BitFieldTestModel.flags.FLAG_1) instance = BitFieldTestModel.objects.get(pk=instance.pk) self.assertTrue(instance.flags.FLAG_1) BitFieldTestModel.objects.filter(pk=instance.pk).update(flags=F('flags') | ((~BitFieldTestModel.flags.FLAG_0 | BitFieldTestModel.flags.FLAG_3))) instance = BitFieldTestModel.objects.get(pk=instance.pk) self.assertFalse(instance.flags.FLAG_0) self.assertTrue(instance.flags.FLAG_1) self.assertTrue(instance.flags.FLAG_3) self.assertFalse(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_0).exists()) BitFieldTestModel.objects.filter(pk=instance.pk).update(flags=F('flags') & ~BitFieldTestModel.flags.FLAG_3) instance = BitFieldTestModel.objects.get(pk=instance.pk) self.assertFalse(instance.flags.FLAG_0) self.assertTrue(instance.flags.FLAG_1) self.assertFalse(instance.flags.FLAG_3) def test_update_with_handler(self): instance = BitFieldTestModel.objects.create(flags=0) self.assertFalse(instance.flags.FLAG_0) instance.flags.FLAG_1 = True BitFieldTestModel.objects.filter(pk=instance.pk).update(flags=F('flags') | instance.flags) instance = BitFieldTestModel.objects.get(pk=instance.pk) self.assertTrue(instance.flags.FLAG_1) # BitFieldTestModel.objects.filter(pk=instance.pk).update(flags=F('flags') | ((~BitFieldTestModel.flags.FLAG_0 | BitFieldTestModel.flags.FLAG_3))) # instance = BitFieldTestModel.objects.get(pk=instance.pk) # self.assertFalse(instance.flags.FLAG_0) # self.assertTrue(instance.flags.FLAG_1) # self.assertTrue(instance.flags.FLAG_3) # self.assertFalse(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_0).exists()) # BitFieldTestModel.objects.filter(pk=instance.pk).update(flags=F('flags') & ~BitFieldTestModel.flags.FLAG_3) # instance = BitFieldTestModel.objects.get(pk=instance.pk) # self.assertFalse(instance.flags.FLAG_0) # self.assertTrue(instance.flags.FLAG_1) # self.assertFalse(instance.flags.FLAG_3) # def test_save(self): # instance = BitFieldTestModel.objects.create(flags=BitFieldTestModel.flags.FLAG_0) # self.assertTrue(instance.flags.FLAG_0) # self.assertTrue(BitFieldTestModel.objects.filter(flags=1).exists()) # self.assertTrue(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_0).exists()) # instance.delete() # # instance = BitFieldTestModel.objects.create(flags=(BitFieldTestModel.flags.FLAG_0 | BitFieldTestModel.flags.FLAG_1)) # self.assertTrue(instance.flags.FLAG_0) # self.assertTrue(instance.flags.FLAG_1) # self.assertTrue(BitFieldTestModel.objects.filter(flags=3).exists()) # self.assertTrue(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_0).exists()) # self.assertTrue(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_1).exists()) # self.assertTrue(BitFieldTestModel.objects.filter(flags=(BitFieldTestModel.flags.FLAG_0 | BitFieldTestModel.flags.FLAG_1)).exists()) # instance.delete() # # instance = BitFieldTestModel.objects.create(flags=BitFieldTestModel.flags.FLAG_3) # self.assertTrue(instance.flags.FLAG_3) # self.assertTrue(BitFieldTestModel.objects.filter(flags=8).exists()) # self.assertTrue(BitFieldTestModel.objects.filter(flags=BitFieldTestModel.flags.FLAG_3).exists()) def test_negate(self): BitFieldTestModel.objects.create(flags=BitFieldTestModel.flags.FLAG_0 | BitFieldTestModel.flags.FLAG_1) BitFieldTestModel.objects.create(flags=BitFieldTestModel.flags.FLAG_1) self.assertEqual(BitFieldTestModel.objects.filter(flags=~BitFieldTestModel.flags.FLAG_0).count(), 1) self.assertEqual(BitFieldTestModel.objects.filter(flags=~BitFieldTestModel.flags.FLAG_1).count(), 0) self.assertEqual(BitFieldTestModel.objects.filter(flags=~BitFieldTestModel.flags.FLAG_2).count(), 2) def test_default_value(self): instance = BitFieldTestModel.objects.create() self.assertTrue(instance.flags.FLAG_0) self.assertTrue(instance.flags.FLAG_1) self.assertFalse(instance.flags.FLAG_2) self.assertFalse(instance.flags.FLAG_3) class BitFieldSerializationTest(TestCase): def test_adding_flags(self): import pickle inst = BitFieldTestModel.objects.create(flags=0) data = pickle.dumps(inst) # ensure the flag is actually working self.assertFalse(inst.flags.FLAG_0) forum = pickle.loads(data) forum.flags.FLAG_0 self.assertFalse(inst.flags.FLAG_0) class CompositeBitFieldTest(TestCase): def test_get_flag(self): inst = CompositeBitFieldTestModel() self.assertEqual(inst.flags.FLAG_0, inst.flags_1.FLAG_0) self.assertEqual(inst.flags.FLAG_4, inst.flags_2.FLAG_4) self.assertRaises(AttributeError, lambda: inst.flags.flag_NA) def test_set_flag(self): inst = CompositeBitFieldTestModel() flag_0_original = bool(inst.flags.FLAG_0) self.assertEqual(bool(inst.flags_1.FLAG_0), flag_0_original) flag_4_original = bool(inst.flags.FLAG_4) self.assertEqual(bool(inst.flags_2.FLAG_4), flag_4_original) # flip flags' bits inst.flags.FLAG_0 = not flag_0_original inst.flags.FLAG_4 = not flag_4_original # check to make sure the bit flips took effect self.assertNotEqual(bool(inst.flags.FLAG_0), flag_0_original) self.assertNotEqual(bool(inst.flags_1.FLAG_0), flag_0_original) self.assertNotEqual(bool(inst.flags.FLAG_4), flag_4_original) self.assertNotEqual(bool(inst.flags_2.FLAG_4), flag_4_original) def set_flag(): inst.flags.flag_NA = False self.assertRaises(AttributeError, set_flag) def test_hasattr(self): inst = CompositeBitFieldTestModel() self.assertEqual(hasattr(inst.flags, 'flag_0'), hasattr(inst.flags_1, 'flag_0')) self.assertEqual(hasattr(inst.flags, 'flag_4'), hasattr(inst.flags_2, 'flag_4'))

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