xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

74d3334ebb55121dccd40e38b5e8752128511830

145

py

Python

ocp_resources/oauth.py

kbidarkar/openshift-python-wrapper

3cd4d6d3b71c82ff87f032a51510d9c9d207f6cb

[ "Apache-2.0" ]

null

ocp_resources/oauth.py

kbidarkar/openshift-python-wrapper

3cd4d6d3b71c82ff87f032a51510d9c9d207f6cb

[ "Apache-2.0" ]

null

ocp_resources/oauth.py

kbidarkar/openshift-python-wrapper

3cd4d6d3b71c82ff87f032a51510d9c9d207f6cb

[ "Apache-2.0" ]

null

from ocp_resources.resource import Resource class OAuth(Resource): """ OAuth object. """ api_version = Resource.ApiVersion.V1

14.5

43

0.682759

16

145

6.0625

0.75

0

0.00885

0.22069

145

9

44

16.111111

0.849558

0.089655

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2d090eea061f7bbc49ae0a3dc6987a10c83be7d2

1,736

py

Python

src/ssh_server_interface.py

ramonmeza/PythonSSHServerTutorial

f3e88792b44e59b706c71df9248b287935daa81d

[ "MIT" ]

4

2020-11-02T11:15:45.000Z

2022-03-24T03:45:02.000Z

src/ssh_server_interface.py

ramonmeza/PythonSSHServerTutorial

f3e88792b44e59b706c71df9248b287935daa81d

[ "MIT" ]

null

src/ssh_server_interface.py

ramonmeza/PythonSSHServerTutorial

f3e88792b44e59b706c71df9248b287935daa81d

[ "MIT" ]

null

import paramiko class SshServerInterface(paramiko.ServerInterface): # This will allow the SSH server to provide a # channel for the client to communicate over. # By default, this will return OPEN_FAILED_ADMINISTRATIVELY_PROHIBITED, # so we have to override it to return OPEN_SUCCEEDED # when the kind of channel requested is "session". def check_channel_request(self, kind, chanid): if kind == "session": return paramiko.OPEN_SUCCEEDED return paramiko.OPEN_FAILED_ADMINISTRATIVELY_PROHIBITED # AFAIK, pty (pseudo-tty (TeleTYpewriter)) will allow our # client to interact with our shell. def check_channel_pty_request(self, channel, term, width, height, pixelwidth, pixelheight, modes): return True # This allows us to provide the channel with a shell we can connect to it. def check_channel_shell_request(self, channel): return True # This let's us setup password authentication. # There are better ways to do this than using plain text, # but for ease of development for me and this tutorial # I think plain text is acceptable. # # For posterity, you could setup a database that encrypts # passwords and will grab them to decrypt here. def check_auth_password(self, username, password): if (username == 'admin') and (password == 'password'): return paramiko.AUTH_SUCCESSFUL return paramiko.AUTH_FAILED # String that will display when a client connects, # before authentication has happened. This is different # than the shell's intro property, which is displayed # after the authentication. def get_banner(self): return ('My SSH Server\r\n', 'en-US')

42.341463

102

0.707373

233

1,736

5.180258

0.515021

0.026512

0.037283

0.059652

0

0.230991

1,736

41

103

42.341463

0.90412

0.515553

0

0.125

0

0.051095

0

1

0.3125

false

0.125

0.0625

0.1875

0.875

0

null

0

null

0

1

0

1

0

1

0

4

2d4029b1efd6f46c5e42ddad5574c60c914f19b6

3,401

py

Python

application/forms.py

competencytestlvl/cs50final-myexpenses

1f089b25c2b5b88aad01bd2fd2d61e45d0e7c11d

[ "MIT" ]

null

application/forms.py

competencytestlvl/cs50final-myexpenses

1f089b25c2b5b88aad01bd2fd2d61e45d0e7c11d

[ "MIT" ]

null

application/forms.py

competencytestlvl/cs50final-myexpenses

1f089b25c2b5b88aad01bd2fd2d61e45d0e7c11d

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import StringField, SelectField, IntegerField, SubmitField, PasswordField from wtforms.validators import DataRequired, EqualTo, InputRequired, Length from wtforms.widgets import TextArea class DataForm(FlaskForm): type = SelectField(label='Type', validators=[DataRequired()], choices=[('income', 'income'), ]) category = SelectField(label='Category', validators=[DataRequired()], choices=[ ('salary', 'salary'), ('investment', 'investment'), ('other income', 'other income') ]) amount = IntegerField("Amount ($)", validators=[DataRequired()]) note = StringField("Description (optional)", validators=[Length(max=250)], default='', widget=TextArea()) submit = SubmitField("Submit") class ExpensesDataForm(FlaskForm): type = SelectField(label='Type', validators=[DataRequired()], choices=[ ('expense', 'expense') ]) category = SelectField(label='Category', validators=[DataRequired()], choices=[ ('rent', 'rent'), ('bills', 'bills'), ('other expenses', 'other expenses') ]) amount = IntegerField("Amount ($)", validators=[DataRequired()]) note = StringField("Description (optional)", validators=[Length(max=250)], default='', widget=TextArea()) submit = SubmitField("Submit") class RegistrationForm(FlaskForm): username = StringField(label='Username', validators=[Length(min=4, max=30), InputRequired()], render_kw={"placeholder": "Your username"}) password = PasswordField(label='Password', validators=[Length(min=4, max=30), InputRequired(), EqualTo('confirmation', message="Password needs to match")], render_kw={"placeholder": "Your password"}) confirmation = PasswordField(label='Confirmation Password', validators=[Length(min=4, max=30), InputRequired()], render_kw={"placeholder": "Your confirmation password"}) submit = SubmitField("Register") class LoginForm(FlaskForm): username = StringField(label='Username', validators=[Length(min=4, max=60), InputRequired()], render_kw={"placeholder": "Your username"}) password = PasswordField(label='Password', validators=[Length(min=4, max=60), InputRequired()], render_kw={"placeholder": "Your password"}) confirmation = PasswordField(label='Confirmation Password', validators=[Length(min=4, max=60), InputRequired(), EqualTo('password', message="Password needs to match")], render_kw={"placeholder": "Your confirmation Password"}) submit = SubmitField("Login") class ConfirmationForm(FlaskForm): submit = SubmitField("Accept")

49.289855

119

0.533079

250

3,401

7.224

0.252

0.070875

0.063123

0.066445

0.733112

0.665559

0.539313

0.496678

0

0.010719

0.341664

3,401

69

120

49.289855

0.795891

0

0.418182

0

0.163727

0

1

0

false

0.2

0.072727

0

0.509091

0

null

0

1

0

null

0

1

0

1

0

4

74243b7eb0d2d43c42a608d6bfd785bdfc5a41b9

124

py

Python

seller/admin.py

bayloun/liban_ex

b7438cea178976a01959e2955d1702a425e6b42c

[ "MIT" ]

null

seller/admin.py

bayloun/liban_ex

b7438cea178976a01959e2955d1702a425e6b42c

[ "MIT" ]

null

seller/admin.py

bayloun/liban_ex

b7438cea178976a01959e2955d1702a425e6b42c

[ "MIT" ]

null

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

20.666667

32

0.814516

18

124

5.611111

0.611111

0

0.120968

124

5

33

24.8

0.926606

0.209677

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

74379af739788836ed13bd068752b88fb0f5a34b

224

py

Python

python_modules/dagster/dagster/core/asset_defs/__init__.py

abkfenris/dagster

7f35164535200cf904a4fdb18af207ccad09ad68

[ "Apache-2.0" ]

null

python_modules/dagster/dagster/core/asset_defs/__init__.py

abkfenris/dagster

7f35164535200cf904a4fdb18af207ccad09ad68

[ "Apache-2.0" ]

null

python_modules/dagster/dagster/core/asset_defs/__init__.py

abkfenris/dagster

7f35164535200cf904a4fdb18af207ccad09ad68

[ "Apache-2.0" ]

1

2019-09-11T03:02:27.000Z

from .asset import AssetsDefinition from .asset_group import AssetGroup from .asset_in import AssetIn from .assets_job import build_assets_job from .decorators import asset, multi_asset from .source_asset import SourceAsset

32

42

0.857143

32

224

5.78125

0.46875

0.145946

0

0.111607

224

6

43

37.333333

0.929648

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

74522944449ee959ccc386db33d4b83c4e20eb00

810

py

Python

pypsignifit/psignierrors.py

esc/Psignifit-3.x

2a2a8a40f39d94f8fee99cb0ba4b9595ae216f88

[ "MIT" ]

6

2015-07-14T23:38:52.000Z

2018-10-12T08:15:36.000Z

pypsignifit/psignierrors.py

esc/Psignifit-3.x

2a2a8a40f39d94f8fee99cb0ba4b9595ae216f88

[ "MIT" ]

null

pypsignifit/psignierrors.py

esc/Psignifit-3.x

2a2a8a40f39d94f8fee99cb0ba4b9595ae216f88

[ "MIT" ]

5

2015-11-25T10:11:04.000Z

2018-10-12T08:17:48.000Z

#!/usr/bin/env python # vi: set ft=python sts=4 ts=4 sw=4 et: ###################################################################### # # See COPYING file distributed along with the psignifit package for # the copyright and license terms # ###################################################################### __docformat__ = "restructuredtext" class NosamplesError ( Exception ): """An exception that is raised whenever we try to use samples but there are none""" def __init__ ( self, msg ): self.msg = msg def __str__(self): return repr(self.msg) class SamplingError ( Exception ): """An exception that is raised if some thing is wrong with the sampling""" def __init__ ( self, msg ): self.msg = msg def __str__ ( self ): return repr(self.msg)

31.153846

87

0.548148

94

810

4.510638

0.617021

0.099057

0.09434

0.113208

0.391509

0.240566

0

0.004651

0.203704

810

25

88

32.4

0.652713

0.379012

0

0.727273

0

0.04611

0

1

0.363636

false

0

0.181818

0.727273

0

null

0

1

0

null

0

1

0

1

0

4

74893b2d6d401130cc7132e8609798ef551b3272

450

py

Python

Level.py

derzeiss/jump-n-run

c5b4f45a91eeea701b97ef595a11563cb774281c

[ "MIT" ]

null

Level.py

derzeiss/jump-n-run

c5b4f45a91eeea701b97ef595a11563cb774281c

[ "MIT" ]

null

Level.py

derzeiss/jump-n-run

c5b4f45a91eeea701b97ef595a11563cb774281c

[ "MIT" ]

null

import pygame class Level: def __init__(self, blocks: pygame.sprite.Group, length: int, player_spawn: (int, int)): self.__blocks = blocks self.__length = length self.__player_spawn = player_spawn def get_blocks(self) -> pygame.sprite.Group: return self.__blocks def get_length(self) -> int: return self.__length def get_player_spawn(self) -> (int, int): return self.__player_spawn

25

91

0.657778

57

450

4.77193

0.280702

0.202206

0.125

0

0.244444

450

17

92

26.470588

0.8

0

1

0.333333

false

0

0.083333

0.25

0.75

0

null

1

0

null

0

1

0

1

0

4

74abb37604b1268603c7173f1c0ed41f99b7dbee

17,794

py

Python

tests/test_core.py

nicolasmesa/context-cli

2b4464b54c748d41515b53d38423d2234d74abb4

[ "MIT" ]

null

tests/test_core.py

nicolasmesa/context-cli

2b4464b54c748d41515b53d38423d2234d74abb4

[ "MIT" ]

5

2019-01-20T20:09:43.000Z

2019-01-20T20:19:32.000Z

tests/test_core.py

nicolasmesa/context-cli

2b4464b54c748d41515b53d38423d2234d74abb4

[ "MIT" ]

null

from mock import patch, mock, ANY from pathlib import Path from context_cli.core import ( start_and_end_delimiter_context_factory_creator, single_delimiter_context_factory_creator, get_context_factory_from_args, build_pipeline, construct_arg_parser, parse_args, main ) from context_cli.util import TypeArgDoesNotExistException HOME_PATH = '/my/home' @patch('context_cli.context.StartAndEndDelimiterContextFactory.__init__', return_value=None) def test_start_and_end_delimiter_context_factory_creator(mock_init_method): start_delimiter_matcher = mock.MagicMock() end_delimiter_matcher = mock.MagicMock() exclude_start = False exclude_end = True ignore_end_delimiter = True file = mock.MagicMock() factory = start_and_end_delimiter_context_factory_creator( start_delimiter_matcher=start_delimiter_matcher, end_delimiter_matcher=end_delimiter_matcher, exclude_start=exclude_start, exclude_end=exclude_end, ignore_end_delimiter=ignore_end_delimiter, ) assert callable(factory) is True context_factory = factory(file) assert context_factory is not None mock_init_method.assert_called_once_with( file, start_delimiter_matcher=start_delimiter_matcher, end_delimiter_matcher=end_delimiter_matcher, exclude_start_delimiter=exclude_start, exclude_end_delimiter=exclude_end, ignore_end_delimiter=ignore_end_delimiter, ) @patch('context_cli.context.SingleDelimiterContextFactory.__init__', return_value=None) def test_single_delimiter_context_factory_creator(mock_init_method): delimiter_matcher = mock.MagicMock() exclude_delimiter = False file = mock.MagicMock() factory = single_delimiter_context_factory_creator( delimiter_matcher=delimiter_matcher, exclude_delimiter=exclude_delimiter, ) assert callable(factory) is True context_factory = factory(file) assert context_factory is not None mock_init_method.assert_called_once_with( file, delimiter_matcher=delimiter_matcher, exclude_delimiter=exclude_delimiter, ) def test_get_context_factory_from_args_all_matchers_defined(): args = mock.MagicMock() args.start_delimiter_matcher = mock.MagicMock() args.end_delimiter_matcher = mock.MagicMock() args.delimiter_matcher = mock.MagicMock() ap = mock.MagicMock() ap.error = mock.MagicMock() get_context_factory_from_args(ap, args) ap.error.assert_called() def test_get_context_factory_from_args_no_matchers_defined(): args = mock.MagicMock() args.start_delimiter_matcher = None args.end_delimiter_matcher = None args.delimiter_matcher = None ap = mock.MagicMock() ap.error = mock.MagicMock() get_context_factory_from_args(ap, args) ap.error.assert_called() @patch('context_cli.core.start_and_end_delimiter_context_factory_creator', return_value=mock.MagicMock()) def test_get_context_factory_from_args_start_and_end_delimiter_matchers(factory_creator_mock): args = mock.MagicMock() args.start_delimiter_matcher = mock.MagicMock() args.end_delimiter_matcher = mock.MagicMock() args.exclude_start_delimiter = mock.MagicMock() args.exclude_end_delimiter = mock.MagicMock() args.ignore_end_delimiter = mock.MagicMock() ap = mock.MagicMock() context_factory_factory = get_context_factory_from_args(ap, args) assert context_factory_factory is not None factory_creator_mock.assert_called_once_with( start_delimiter_matcher=args.start_delimiter_matcher, end_delimiter_matcher=args.end_delimiter_matcher, exclude_start=args.exclude_start_delimiter, exclude_end=args.exclude_end_delimiter, ignore_end_delimiter=args.ignore_end_delimiter, ) @patch('context_cli.core.single_delimiter_context_factory_creator', return_value=mock.MagicMock()) def test_get_context_factory_from_args_delimiter_matchers(factory_creator_mock): args = mock.MagicMock() args.delimiter_matcher = mock.MagicMock() args.start_delimiter_matcher = None args.end_delimiter_matcher = None ap = mock.MagicMock() context_factory_factory = get_context_factory_from_args(ap, args) assert context_factory_factory is not None factory_creator_mock.assert_called_once_with( delimiter_matcher=args.delimiter_matcher, exclude_delimiter=True, ) @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_no_filters(not_empty_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_empty_filter_mock.assert_called_once_with(context_generator=context_factory) @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_no_filters(not_empty_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_empty_filter_mock.assert_called_once_with(context_generator=context_factory) @patch('context_cli.core.MatchesTextContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_matches_text_filter(not_empty_filter_mock, matches_text_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.matches_text = ['matches this'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline matches_text_filter_mock.assert_called_once_with(context_generator=context_factory, text=args.matches_text[0]) not_empty_filter_mock.assert_called_once_with(context_generator=matches_text_filter_mock.return_value) @patch('context_cli.core.NotMatchesTextContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_not_matches_text_filter(not_empty_filter_mock, not_matches_text_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.not_matches_text = ['not matches this'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_matches_text_filter_mock.assert_called_once_with(context_generator=context_factory, text=args.not_matches_text[0]) not_empty_filter_mock.assert_called_once_with(context_generator=not_matches_text_filter_mock.return_value) @patch('context_cli.core.ContainsTextContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_contains_text_filter(not_empty_filter_mock, contains_text_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.contains_text = ['contains this'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline contains_text_filter_mock.assert_called_once_with(context_generator=context_factory, text=args.contains_text[0]) not_empty_filter_mock.assert_called_once_with(context_generator=contains_text_filter_mock.return_value) @patch('context_cli.core.NotContainsTextContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_not_contains_text_filter(not_empty_filter_mock, not_contains_text_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.not_contains_text = ['not contains this'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_contains_text_filter_mock.assert_called_once_with(context_generator=context_factory, text=args.not_contains_text[0]) not_empty_filter_mock.assert_called_once_with(context_generator=not_contains_text_filter_mock.return_value) @patch('context_cli.core.MatchesRegexContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_matches_regex_filter(not_empty_filter_mock, matches_regex_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.matches_regex = ['regex'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline matches_regex_filter_mock.assert_called_once_with(context_generator=context_factory, regexp=args.matches_regex[0]) not_empty_filter_mock.assert_called_once_with(context_generator=matches_regex_filter_mock.return_value) @patch('context_cli.core.NotMatchesRegexContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_not_matches_regex_filter(not_empty_filter_mock, not_matches_regex_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.not_matches_regex = ['not regex'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_matches_regex_filter_mock.assert_called_once_with(context_generator=context_factory, regexp=args.not_matches_regex[0]) not_empty_filter_mock.assert_called_once_with(context_generator=not_matches_regex_filter_mock.return_value) @patch('context_cli.core.ContainsRegexContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_contains_regex_filter(not_empty_filter_mock, contains_regex_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.contains_regex = ['regex'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline contains_regex_filter_mock.assert_called_once_with(context_generator=context_factory, regexp=args.contains_regex[0]) not_empty_filter_mock.assert_called_once_with(context_generator=contains_regex_filter_mock.return_value) @patch('context_cli.core.NotContainsRegexContextFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_not_contains_regex_filter(not_empty_filter_mock, not_contains_regex_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.not_contains_regex = ['not regex'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_contains_regex_filter_mock.assert_called_once_with(context_generator=context_factory, regexp=args.not_contains_regex[0]) not_empty_filter_mock.assert_called_once_with(context_generator=not_contains_regex_filter_mock.return_value) @patch('context_cli.core.ContainsTextLineFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_contains_text_line_filter(not_empty_filter_mock, contains_text_line_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.line_contains_text = ['contains this'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline contains_text_line_filter_mock.assert_called_once_with(context_generator=context_factory, text=args.line_contains_text[0]) not_empty_filter_mock.assert_called_once_with(context_generator=contains_text_line_filter_mock.return_value) @patch('context_cli.core.NotContainsTextLineFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_not_contains_text_line_filter(not_empty_filter_mock, not_contains_text_line_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.not_line_contains_text = ['not contains this'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_contains_text_line_filter_mock.assert_called_once_with(context_generator=context_factory, text=args.not_line_contains_text[0]) not_empty_filter_mock.assert_called_once_with(context_generator=not_contains_text_line_filter_mock.return_value) @patch('context_cli.core.ContainsRegexLineFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_contains_regex_line_filter(not_empty_filter_mock, contains_regex_line_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.line_contains_regex = ['regex'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline contains_regex_line_filter_mock.assert_called_once_with(context_generator=context_factory, regexp=args.line_contains_regex[0]) not_empty_filter_mock.assert_called_once_with(context_generator=contains_regex_line_filter_mock.return_value) @patch('context_cli.core.NotContainsRegexLineFilter') @patch('context_cli.core.NotEmptyContextFilter') def test_build_pipeline_not_contains_regex_line_filter(not_empty_filter_mock, not_contains_regex_line_filter_mock): context_factory = mock.MagicMock() args = mock.MagicMock() args.not_line_contains_regex = ['not regex'] pipeline = build_pipeline(context_factory, args) assert not_empty_filter_mock.return_value is pipeline not_contains_regex_line_filter_mock.assert_called_once_with(context_generator=context_factory, regexp=args.not_line_contains_regex[0]) not_empty_filter_mock.assert_called_once_with(context_generator=not_contains_regex_line_filter_mock.return_value) def test_construct_arg_parser(): ap = construct_arg_parser() assert ap is not None def test_parse_args_no_type(): args = mock.MagicMock() ap = mock.MagicMock() ap.parse_args.return_value = args args.type = None result_args = parse_args(ap, ['ctx', 'argv']) assert result_args is args @patch('context_cli.core.Path') @patch('context_cli.core.CtxRc') def test_parse_args_write_and_files(ctxrc_cls, path_cls): ctxrc_cls.from_path.return_value = mock.MagicMock() path_cls.home.return_value = Path(HOME_PATH) args = mock.MagicMock() ap = mock.MagicMock() ap.parse_args.return_value = args args.type = 'some_type' args.write = True file = mock.MagicMock() file.name = 'not <stdin>' args.files = [ file ] parse_args(ap, ['ctx', 'argv']) ap.error.assert_called_once() @patch('context_cli.core.Path') @patch('context_cli.core.CtxRc') def test_parse_args_write_and_no_files(ctxrc_cls, path_cls): ctxrc = mock.MagicMock() ctxrc_cls.from_path.return_value = ctxrc path_cls.home.return_value = Path(HOME_PATH) args = mock.MagicMock() ap = mock.MagicMock() ap.parse_args.return_value = args args.type = 'some_type' args.write = True file = mock.MagicMock() file.name = '<stdin>' args.files = [ file ] parse_args(ap, ['ctx', 'argv']) ctxrc.add_type.assert_called_once_with('some_type', ['argv']) ctxrc.save.assert_called_once_with(Path(HOME_PATH) / '.ctxrc') ap.exit.assert_called_once_with(0) @patch('context_cli.core.Path') @patch('context_cli.core.CtxRc') def test_parse_args_arg_does_not_exist(ctxrc_cls, path_cls): type_arg = 'some_type_doesnt_exist' exception = TypeArgDoesNotExistException(missing_type=type_arg) ctxrc = mock.MagicMock() ctxrc.get_type_argv.side_effect = exception ctxrc_cls.from_path.return_value = ctxrc path_cls.home.return_value = Path(HOME_PATH) args = mock.MagicMock() args.write = False ap = mock.MagicMock() ap.parse_args.return_value = args args.type = type_arg parse_args(ap, ['ctx', 'argv']) ap.error.assert_called_once_with(str(exception)) @patch('context_cli.core.Path') @patch('context_cli.core.CtxRc') def test_parse_args_arg_exists(ctxrc_cls, path_cls): type_arg = 'some_arg' type_argv = ['some', 'argv'] argv = ['ctx', 'something', 'else'] ctxrc = mock.MagicMock() ctxrc.get_type_argv.return_value = type_argv ctxrc_cls.from_path.return_value = ctxrc path_cls.home.return_value = Path(HOME_PATH) args = mock.MagicMock() args.write = False args.files = [ mock.MagicMock(), mock.MagicMock() ] ap = mock.MagicMock() ap.parse_args.return_value = args args.type = type_arg new_args = parse_args(ap, argv) ap.parse_args.assert_called_with(type_argv + argv[1:]) ap.parse_args.assert_called_with(['some', 'argv', 'something', 'else']) assert new_args.type is None assert new_args.write is False assert new_args.files is args.files @patch('context_cli.core.sys') @patch('context_cli.core.build_pipeline') @patch('context_cli.core.get_context_factory_from_args') @patch('context_cli.core.parse_args') @patch('context_cli.core.construct_arg_parser') def test_main(construct_arg_parser_fn, parse_args_fn, get_context_factory_from_args_fn, build_pipeline_fn, sys): ap = mock.MagicMock() construct_arg_parser_fn.return_value = ap argv = ['ctx', 'something'] args = mock.MagicMock() file1 = mock.MagicMock() file2 = mock.MagicMock() args.files = [file1, file2] args.output_delimiter = 'output_delimiter' parse_args_fn.return_value = args context_factory_factory = mock.MagicMock() get_context_factory_from_args_fn.return_value = context_factory_factory context1 = mock.MagicMock() context1.__str__.return_value = 'context1' context2 = mock.MagicMock() context2.__str__.return_value = "context2\n" pipeline = [context1, context2] build_pipeline_fn.return_value = pipeline return_value = main(argv) assert 0 == return_value parse_args_fn.assert_called_once_with(ap, argv) get_context_factory_from_args_fn.assert_called_once_with(ap, args) context_factory_factory.assert_any_call(file1) context_factory_factory.assert_any_call(file2) sys.stdout.write.assert_any_call(args.output_delimiter) sys.stdout.write.assert_any_call("\n") sys.stdout.write.assert_any_call('context1') sys.stdout.write.assert_any_call("context2\n")

39.367257

138

0.789873

2,373

17,794

5.467341

0.05099

0.079158

0.049715

0.05827

0.823108

0.793741

0.754278

0.699707

0.67088

0.653692

0

0.001991

0.125155

17,794

451

139

39.454545

0.831438

0

0.502809

0

0.111342

0.091108

0

0.205056

1

0.075843

false

0

0.011236

0

0.087079

0

null

0

1

0

1

0

null

0

4

77aef8e80538b518dee2ebeb75dc913ac016f7e8

22,955

py

Python

sgfparser.py

fantianwen/IGOTools

b8f4d4b92b228ab8bceae5b7cecf7ccfef4f456d

[ "MIT" ]

null

sgfparser.py

fantianwen/IGOTools

b8f4d4b92b228ab8bceae5b7cecf7ccfef4f456d

[ "MIT" ]

null

sgfparser.py

fantianwen/IGOTools

b8f4d4b92b228ab8bceae5b7cecf7ccfef4f456d

[ "MIT" ]

null

#!/usr/bin/env python3 import sgf import matplotlib.pyplot as pyplot import os try: from StringIO import StringIO except ImportError: from io import StringIO def parseWinrate(filePath): winrates = [] with open(filePath) as f: collection = sgf.parse(f.read()) children = collection.children gameTree = children[0] for node in gameTree.nodes: for property in node.properties: if property == 'C': comments = node.properties[property] _comments = ''.join(comments) if _comments.strip() != '': winrate = _comments.split('::')[0] winrates.append(winrate) f.close() ii = [] winrates.pop(0) for _ in winrates: ff = float(_) ii.append(ff) return ii FATHER_FILE = '/home/fan/GoProjects/gtp/distance_data/' names = [FATHER_FILE + name for name in os.listdir(FATHER_FILE) if os.path.isfile(os.path.join(FATHER_FILE, name)) and 'W=B' in name ] # print('B' in '/home/fan/GoProjects/gtp/ex1/20190124215804W=B.sgf') print(len(names)) totalWinrates = [] totalLength = 0 maxLength = 0 for name in names: wr = parseWinrate(name) totalWinrates.append(wr) if len(wr)>maxLength: maxLength = len(wr) print(totalWinrates) averageWR = [] for index in range(0,maxLength): somelength = 0 averageOne = 0 for winrate in totalWinrates: if len(winrate)>index: averageOne+=winrate[index] somelength+=1 av = averageOne/somelength averageWR.append(av) print(averageWR) # # averageLength = 0 # for winrate in totalWinrates: # totalLength+=len(winrate) # averageLength = totalLength/28 # print(averageLength) # v2 ray wins # hhb = [0.5775593125000001, 0.56456625, 0.5652079375000001, 0.570498875, 0.5842454374999999, 0.6031345625000002, 0.6093540625, 0.6271281875000001, 0.6347387499999999, 0.673008875, 0.667450375, 0.706558125, 0.7368693125000001, 0.744022875, 0.7231482499999998, 0.7473750000000001, 0.7818960625, 0.7844019375000002, 0.808919625, 0.8035286249999999, 0.785371625, 0.8107565999999999, 0.7823051333333333, 0.7698254666666666, 0.7707268666666667, 0.7534974666666668, 0.7596864, 0.7521028666666668, 0.7370957333333333, 0.7776022142857143, 0.8041927692307691, 0.7919417692307692, 0.8547514166666667, 0.8438866666666666, 0.830531, 0.8191953333333332, 0.7640862500000001, 0.7199505833333332, 0.7744031818181818, 0.7605717272727273, 0.8381793999999999, 0.8231063000000001, 0.8299052, 0.8212946999999999, 0.7794255,0.8280825999999999, 0.8138567, 0.8004364, 0.7763981999999999, 0.7196156, 0.6757526, 0.6714967000000002, 0.6388847999999999, 0.6466603333333334, 0.5979657777777778, 0.6371911250000001, 0.692859, 0.6993034285714286, 0.5973502857142857, 0.6742401666666668, 0.6655256666666667, 0.6211963333333334, 0.5201378333333333, 0.6733849999999999, 0.5856, 0.502899, 0.6873319999999999, 0.658852, 0.6668816666666667, 0.628923, 0.6564596666666667, 0.655925, 0.621545, 0.6617455, 0.57608, 0.4945875, 0.295999, 0.239045, 0.184019, 0.195464, 0.177637, 0.162146, 0.116571] # hhc = [0.5434750689655171, 0.533838551724138, 0.5469265862068966, 0.5466511379310346, 0.5554324482758621, 0.5731461724137932, 0.5755165862068965, 0.5901477586206899, 0.6108426896551724, 0.6307502758620691, 0.6366355517241378, 0.659231793103448, 0.6682083448275864, 0.6928971379310345, 0.711429103448276, 0.7165224827586207,0.7501825172413794, 0.7438240344827587, 0.7246341724137928, 0.7424679310344829, 0.7245073793103449, 0.722314448275862, 0.7343515517241378, 0.728733551724138, 0.7000226896551723, 0.7432959642857144, 0.7296065, 0.7077935000000001, 0.6794439642857143, 0.6373862857142857, 0.6087427142857142, 0.6086458214285715, 0.5957124285714285, 0.5965104642857143, 0.63247344, 0.6141428333333333, 0.6389651666666667, 0.6005050000000001, 0.5822849583333334, 0.558670347826087, 0.5476504347826087, 0.5552760454545455, 0.5334375, 0.5644031904761905, 0.59188475, 0.5765791578947368, 0.6310573333333332, 0.6024293529411766, 0.5705632941176471, 0.5292564, 0.45612386666666677, 0.5152135833333333, 0.6051687, 0.4442858, 0.46843150000000006, 0.502202, 0.512453888888889, 0.5234963333333333, 0.3785813333333334, 0.32952312500000003, 0.3024567142857143, 0.36254379999999997, 0.34824099999999997, 0.3010888, 0.2882726, 0.23065075000000002, 0.372557, 0.2908635, 0.1341055, 0.188182] # hhd = [0.5393092307692309, 0.5302565384615385, 0.5436868461538461, 0.5518292307692307, 0.5436075384615384, 0.5395435384615384, 0.5442246538461539, 0.5517013846153845, 0.5741643846153844, 0.5819460384615384, 0.6026850384615385, 0.5896888846153845, 0.5896858076923077, 0.6130085384615385, 0.6185846153846153, 0.6386939615384615, 0.6484373076923077, 0.6295285, 0.6284303076923077, 0.6299253461538462, 0.6244776153846154, 0.654506576923077, 0.6375732307692308, 0.6497497600000003, 0.6591942000000001, 0.68291372, 0.65555252, 0.6134528800000001, 0.611192, 0.60635364, 0.5813813600000001, 0.6044710000000001, 0.6124345909090908, 0.63236945, 0.6709866315789474, 0.7009252631578948, 0.7065737368421052, 0.6835115789473684, 0.6488279473684212, 0.5903252631578946, 0.6042911111111111, 0.6552737777777778, 0.6357875000000001, 0.6281401764705883, 0.7112370666666669, 0.6588677333333334, 0.6718206428571428, 0.6831169166666666, 0.6828105833333334, 0.7464206000000001, 0.7442028, 0.762799, 0.6977016, 0.6745601000000001, 0.6629996, 0.7053958888888889, 0.6354118888888889, 0.6313773333333333, 0.5442441111111112, 0.5479594444444444, 0.5186844444444444, 0.49918037499999995, 0.505895625, 0.4646431428571428, 0.38592585714285715, 0.4351467142857143, 0.4041531666666666, 0.4166248, 0.4218558, 0.388579, 0.38249379999999994, 0.3856122, 0.3838692, 0.4183486666666667, 0.35569500000000004, 0.4375233333333333, 0.384768, 0.145502] # ray wins # hhb = [0.5759965714285714, 0.5448472857142858, 0.5425218571428571, 0.5504439999999999, 0.5651762857142858, 0.5803838571428572, 0.6040844285714285, 0.6282208571428571, 0.6404134285714286, 0.6836617142857143, 0.7011649999999999, 0.7127332857142858, 0.7236301428571429, 0.7462848571428572, 0.7603354285714286, 0.7906764285714285, 0.7813837142857143, 0.8088238571428572, 0.8246265714285715, 0.8098171428571427, 0.8339465714285714, 0.82773, 0.8849258571428571, 0.8525157142857144, 0.8390134285714286, 0.8597924285714286, 0.8535808571428571, 0.7530702857142858, 0.7654721428571428, 0.6963614285714286, 0.6590031428571429, 0.61571, 0.5506111428571429, 0.5468141428571429, 0.6000711428571428, 0.6484823333333333, 0.5993065, 0.6336472, 0.7496309999999999, 0.8037375, 0.8073187500000001, 0.7766355, 0.6750477500000001, 0.696185, 0.75660425, 0.840685, 0.8255597499999999, 0.71560325, 0.7146527500000001, 0.75564225, 0.6913265, 0.6646037499999999, 0.65055825, 0.652365, 0.58276525, 0.5146895, 0.56560025, 0.5366574999999999, 0.47338, 0.38882649999999996, 0.331675, 0.2849643333333333, 0.23054299999999997, 0.289507, 0.216808, 0.312473, 0.285789, 0.173404] # hhc = [0.5318586666666666, 0.5221309166666667, 0.52037925, 0.5187181666666666, 0.5211639166666667, 0.5269451666666667, 0.5493411666666667, 0.5450009166666666, 0.5526790833333334, 0.57061525, 0.5753754166666667, 0.5812548333333334, 0.5999649166666667, 0.6110461666666667, 0.588961, 0.5956411666666668, 0.6166089999999999, 0.5743964166666666, 0.6043224166666666, 0.6520659166666666, 0.6438545833333335, 0.6319751666666666, 0.6200535833333333, 0.6462424545454546, 0.6385646363636363, 0.6252463636363637, 0.6247699999999999, 0.605427, 0.6226680000000001, 0.571057909090909, 0.5361202727272727, 0.5268814545454545, 0.5295886363636364, 0.5370345000000001, 0.5554733333333333, 0.5008878888888889, 0.6071692857142857, 0.5573902857142857, 0.5138258571428572, 0.5645343333333334, 0.5772151666666667, 0.6853566,0.6219490000000001, 0.660458, 0.6546103999999999, 0.6312312, 0.60555, 0.6025600000000001, 0.6400203999999999, 0.6752356, 0.5729708, 0.5522452, 0.5278598, 0.39897179999999993, 0.4393876, 0.3698578, 0.3494176, 0.35769320000000004, 0.3447448, 0.48125033333333334, 0.3384213333333333, 0.2780086666666667, 0.341325, 0.398223, 0.308091, 0.127838, 0.111326, 0.114325, 0.179403, 0.175647, 0.144469, 0.150082, 0.102021, 0.176734, 0.138445, 0.302166] # hhd = [0.5314115, 0.5232428636363637, 0.5211357272727273, 0.5154027272727273, 0.5062784090909092, 0.5101283181818183, 0.5119015454545455, 0.505995590909091, 0.5178756363636364, 0.5142435454545454, 0.5248058636363635, 0.5368693181818182, 0.5318861818181819, 0.5574796818181817, 0.6022538181818182, 0.5799426363636364, 0.5945062272727273, 0.5785891818181818, 0.5898115, 0.5600774545454545, 0.5432434999999999, 0.5756011904761905, 0.5487933809523808, 0.5494473999999999, 0.5203976499999999, 0.5480515789473684, 0.6079285555555557, 0.6195662222222222, 0.5884621111111112, 0.5562018333333334, 0.5846993749999999, 0.5704143749999999, 0.6599882666666667, 0.6940446666666666, 0.7269157333333333, 0.7183842666666668, 0.7373521333333333, 0.7684110666666667, 0.7447058666666667, 0.7014152666666665, 0.6782243333333334, 0.7300414285714286, 0.6480882857142858, 0.6465781538461539, 0.645483153846154, 0.656904, 0.6448232307692306, 0.6022225384615385, 0.6204838333333333, 0.59752825, 0.5400094545454545, 0.5111498181818181, 0.5524972, 0.55449, 0.5716873333333334, 0.5217785555555555, 0.565627125, 0.6059215, 0.52874, 0.47604549999999995, 0.46534757142857147, 0.48193014285714286, 0.37503766666666666, 0.5116875, 0.47710874999999997, 0.43923875, 0.34747750000000005, 0.23827349999999997, 0.1580915, 0.169604] hhd_p = [0.5480376666666668, 0.5401401666666666, 0.5675721666666665, 0.5600565000000001, 0.559863, 0.579262, 0.576244, 0.5869045, 0.5883101666666667, 0.6181856666666666, 0.6138246666666667, 0.5911588333333334, 0.6178401666666667, 0.5894408333333333, 0.5855963333333334, 0.5894416666666666, 0.5850978333333333, 0.5529091666666667, 0.5396886666666667, 0.5591726666666667, 0.5608766666666666, 0.6742511999999999, 0.6502296000000001, 0.6377372, 0.6296348, 0.645398, 0.82363425, 0.80264775, 0.8034250000000001, 0.7687705, 0.7481295000000001, 0.743873, 0.9579023333333333, 0.9328820000000001, 0.8814653333333333, 0.8945093333333333, 0.9083783333333333, 0.9177536666666667, 0.9131336666666666, 0.8362553333333334, 0.84553, 0.8291930000000001, 0.8186166666666667, 0.8671466666666667, 0.8692163333333335, 0.8547466666666668, 0.8289176666666668, 0.7173386666666667, 0.7285043333333333, 0.7385406666666666, 0.7600176666666667, 0.7742023333333333, 0.8065103333333333, 0.8096486666666666, 0.7878063333333335, 0.7819773333333333, 0.7669016666666666, 0.7278739999999999, 0.6796726666666667, 0.6513606666666667, 0.5105246666666666, 0.4651626666666666, 0.49024333333333336, 0.49269366666666664, 0.45186433333333337, 0.619284, 0.672739, 0.5487515000000001, 0.5888375, 0.601823, 0.5577155, 0.591024, 0.36285100000000003, 0.318928, 0.249745, 0.164293, 0.159919, 0.124087, 0.10486, 0.110406] # hha = [0.5793809642857145, 0.5632121071428573, 0.5564908571428572, 0.5593121785714287, 0.5778796071428571, 0.5835904285714285, 0.5969603571428571, 0.6095315, 0.6242430357142856, 0.6653345714285714, 0.6958747142857143, 0.7138866071428573, 0.7406872142857146, 0.7719963571428572, 0.7962930357142856, 0.8072692142857142, 0.8297261785714285, 0.8502258214285715, 0.8666266428571429, 0.8727986071428572, 0.8900608571428572, 0.9017216071428571, 0.9033675714285714, 0.9152872142857144, 0.9275555357142858, 0.9412533214285713, 0.9490050357142861, 0.952499964285714, 0.9487960357142858, 0.9515366428571432, 0.9612413928571428, 0.95750525, 0.9633124285714284, 0.9676655714285715, 0.9721318518518518, 0.9733866666666668, 0.9783696538461538, 0.9795533076923076, 0.9773193749999999, 0.9775310434782609, 0.9766640499999999, 0.9775781999999997, 0.9773733684210525, 0.975649722222222, 0.9754554999999998, 0.9757021428571427, 0.9793503846153846, 0.9791898333333332, 0.9786719999999999, 0.9839314545454545, 0.9868598000000001, 0.9883824999999999, 0.9883085714285716, 0.9873341666666665, 0.9861813333333332, 0.9860150000000001, 0.9854042000000002, 0.9832609999999999, 0.9845596666666667, 0.9815193333333334, 0.977812, 0.9810266666666666, 0.9794543333333333, 0.979777, 0.9798330000000001, 0.987678,0.988982, 0.983327, 0.9837] # hhb = [0.5739667391304346, 0.544311043478261, 0.5359710869565218, 0.5460133478260868, 0.5728115652173914, 0.5829033043478261, 0.5960269130434782, 0.6062377391304347, 0.6329619999999999, 0.6347817826086957, 0.660181347826087, 0.6835653478260869, 0.7089669565217391, 0.7138852608695652, 0.7519908695652172, 0.7665332608695654, 0.7914272173913043, 0.8119542173913045, 0.8029530869565216, 0.8244440000000001, 0.8211909130434781, 0.8245742608695654, 0.8354085652173915, 0.8373964347826088, 0.8571481304347827, 0.8513666956521739, 0.8312545652173912, 0.8449679565217392, 0.8474699565217392, 0.8771474347826088, 0.8907414347826088, 0.8731165217391306, 0.8845200434782611, 0.8365324999999999, 0.836378761904762, 0.832691380952381, 0.8291973333333333, 0.8456662857142858, 0.8388898095238095, 0.8389156666666666, 0.8843914285714285, 0.8747492380952382, 0.9042732380952382, 0.9199645000000001, 0.9109447894736844, 0.9207497222222225, 0.9286159999999999, 0.9261978235294117, 0.9279694705882352, 0.9358270625000001, 0.9346272666666665, 0.9297377272727271, 0.8965906666666665, 0.8792778888888889, 0.8897282222222223, 0.8923995, 0.927870125, 0.9240704, 0.9344135999999998, 0.9373059999999999, 0.9497547500000001, 0.9531587499999999, 0.95843925, 0.9636305000000001, 0.9531035, 0.9581095, 0.960357, 0.957625,0.927325] # hhc = [0.5406244444444446, 0.5255371666666666, 0.5255462777777777, 0.5216446666666665, 0.5138836111111111, 0.5431500555555556, 0.5514494444444444, 0.5849443333333334, 0.5995293888888888, 0.6028502222222222, 0.6397224444444443, 0.647050222222222, 0.634464611111111, 0.6547321111111113, 0.6512999444444445, 0.6941818333333333, 0.706922, 0.7424321111111111, 0.7574608888888889, 0.7632736666666667, 0.7901877777777777, 0.7940358888888889, 0.7868426666666668, 0.7870485, 0.7936107222222223, 0.8010775555555555, 0.7795742777777779, 0.764699, 0.7620797777777778, 0.7613470000000002, 0.7819948333333333, 0.7583798888888887, 0.7699878888888887, 0.7516268333333334, 0.7519739444444444, 0.7743095000000001, 0.7789397777777778, 0.7835209444444444, 0.8019935555555554, 0.8299825, 0.8496603333333334, 0.8643845555555556, 0.8688054705882354, 0.8608672500000001, 0.8824585, 0.8475771249999999, 0.8468906875, 0.8832644999999999, 0.8672378571428571, 0.8894657857142857, 0.901484, 0.9137395384615385, 0.9277878333333334, 0.933115909090909, 0.9360897999999999, 0.9420567, 0.9323629999999999, 0.9429513333333335, 0.9231547777777779, 0.922705111111111, 0.91301525, 0.8973813333333333, 0.908249, 0.9382201666666666, 0.89791275, 0.895457, 0.9369675000000001, 0.933075, 0.9545363333333334] # hhd = [0.5335157500000001, 0.5198456250000001, 0.521447875, 0.514113375, 0.512982875, 0.48400200000000004, 0.515115, 0.515767875, 0.50178025, 0.527930625, 0.493718125, 0.55912625, 0.52942775, 0.5292477499999999, 0.536730375, 0.60647, 0.6048126249999999, 0.606930125, 0.55364, 0.57439825, 0.6075993749999999, 0.586392, 0.61917275, 0.60159175, 0.688754125, 0.688866375, 0.6355740000000001, 0.659611875, 0.6701824999999999, 0.7334772500000001, 0.6927976250000001, 0.7991945, 0.699114, 0.7158350000000001, 0.6947826250000001, 0.736144, 0.73195, 0.6698605, 0.6810717500000001, 0.68919, 0.780477125, 0.7789962500000001, 0.8586975, 0.882242875, 0.91013525, 0.920223375, 0.9249061428571429, 0.9176145, 0.8921475000000001, 0.9084383333333332, 0.9214538333333334, 0.924324, 0.9080268333333333, 0.8665608, 0.815264, 0.9091100000000001, 0.91391, 0.8866860000000001, 0.8703443333333333, 0.8605539999999999, 0.947699, 0.945965,0.9277878333333334, 0.933115909090909, 0.9360897999999999, 0.9420567, 0.9323629999999999, 0.9429513333333335, 0.9531547777777779] hha = [0.5793809642857145, 0.5632121071428573, 0.5564908571428572, 0.5593121785714287, 0.5778796071428571, 0.5835904285714285, 0.5969603571428571, 0.6095315, 0.6242430357142856, 0.6653345714285714, 0.6958747142857143, 0.7138866071428573, 0.7406872142857146, 0.7719963571428572, 0.7962930357142856, 0.8072692142857142, 0.8297261785714285, 0.8502258214285715, 0.8666266428571429, 0.8727986071428572, 0.8900608571428572, 0.9017216071428571, 0.9033675714285714, 0.9152872142857144, 0.9275555357142858, 0.9412533214285713, 0.9490050357142861, 0.952499964285714, 0.9487960357142858, 0.9515366428571432, 0.9612413928571428, 0.95750525, 0.9633124285714284, 0.9676655714285715, 0.9721318518518518, 0.9733866666666668, 0.9783696538461538, 0.9795533076923076, 0.9773193749999999, 0.9775310434782609, 0.9766640499999999, 0.9775781999999997, 0.9773733684210525, 0.975649722222222, 0.9754554999999998, 0.9757021428571427, 0.9793503846153846, 0.9791898333333332, 0.9786719999999999, 0.9839314545454545, 0.9868598000000001, 0.9883824999999999, 0.9883085714285716, 0.9873341666666665, 0.9861813333333332, 0.9860150000000001, 0.9854042000000002, 0.9832609999999999, 0.9845596666666667, 0.9815193333333334, 0.977812, 0.9810266666666666, 0.9794543333333333, 0.979777, 0.9798330000000001, 0.987678,0.988982, 0.983327, 0.983766, 0.988941, 0.977702, 0.985884, 0.976505, 0.985123, 0.978036, 0.966152, 0.98114] hhb = [0.5744403666666665, 0.5444361666666667, 0.5374996000000001, 0.5470471666666665, 0.57103, 0.5823154333333335, 0.597907, 0.6113671333333334, 0.6347006666666667, 0.6461871000000001, 0.6697442000000001, 0.6903712, 0.7123883666666667, 0.7214451666666667, 0.7539379333333334, 0.7721666666666669, 0.7890837333333334, 0.8112238, 0.8080102333333333, 0.8210310666666668, 0.8241672333333334, 0.8253106, 0.8469626, 0.8409242666666666, 0.8529166999999999, 0.8533326999999998, 0.8364640333333333, 0.8235251666666668, 0.8283371333333335, 0.8349640333333332, 0.8366691666666667, 0.8130550000000001, 0.8066079666666668, 0.7666004827586206, 0.7773018571428573, 0.7917560370370372, 0.7781104814814815, 0.8048933846153846, 0.8246084000000002, 0.83328716, 0.8720597999999998, 0.8590510400000001, 0.86759716, 0.8826679166666667, 0.8841029565217392, 0.9061925000000002, 0.9098785, 0.8860845714285714, 0.8873377142857143, 0.8997901, 0.883406052631579, 0.8590353333333333, 0.8208883846153845, 0.8094585384615385, 0.795278076923077, 0.7664961666666666, 0.8071135000000002, 0.751886888888889, 0.7295097777777779, 0.6935373333333332, 0.6407148750000001, 0.6667897142857143, 0.6464837142857143, 0.6747204285714286, 0.5113262000000001, 0.7428973333333332, 0.7355010000000001, 0.5655144999999999] hhc = [0.5371181333333332, 0.5241746666666666, 0.5234794666666667, 0.5204740666666665, 0.5167957333333334, 0.5366681000000001, 0.5506061333333334, 0.5689669666666667, 0.5807892666666666, 0.5899562333333335, 0.6139836333333333, 0.6207320666666667, 0.6206647333333333, 0.6372577333333334, 0.6263643666666666, 0.6547655666666666, 0.6707968, 0.6752178333333333, 0.6962054999999999, 0.7187905666666666, 0.7316544999999999, 0.7292116000000001, 0.7201270333333333, 0.7336393103448275, 0.7348001379310344, 0.7343829655172414, 0.7208554137931034, 0.7042854827586209, 0.709199448275862, 0.6891683793103446, 0.6887320689655172, 0.6705701379310344, 0.6788019655172414, 0.6749867142857141, 0.6864737407407409, 0.683168962962963, 0.7308440399999999, 0.72020436, 0.7213065999999999, 0.7636204583333331, 0.7815490416666667, 0.825465434782609, 0.8127017272727273, 0.8131507619047618, 0.8282089523809524, 0.7960661904761905, 0.7894286190476191, 0.8164300952380951, 0.8074437894736842, 0.8330894210526316, 0.8150331578947368, 0.8133244444444445, 0.8101619411764706, 0.766195875, 0.7705224000000002, 0.7513237333333332, 0.7380478666666668, 0.7339305714285714, 0.7165797857142858, 0.8123414166666666, 0.756307818181818, 0.6909237777777777, 0.8272598571428571, 0.8610777142857142, 0.7799484000000001, 0.7419332, 0.7718392, 0.7283875, 0.760753, 0.6908799999999999, 0.4137355, 0.324801, 0.347909, 0.39571999999999996, 0.406351, 0.5024165, 0.725099, 0.884469, 0.856902, 0.834031, 0.899073, 0.929087, 0.991742] hhd = [0.5319726333333334, 0.5223369333333334, 0.5212189666666666, 0.5150589, 0.5080662666666667, 0.5031613000000001, 0.5127584666666667, 0.5086015333333332, 0.5135835333333333, 0.5178934333333333, 0.5165157999999999, 0.5428045000000001, 0.5312306000000001, 0.5499511666666667, 0.5847808999999999, 0.5870166, 0.5972546000000002, 0.5861467666666667, 0.5801657666666666, 0.5638963333333333, 0.5604050666666666, 0.5785779655172414, 0.5682083793103448, 0.5643457857142857, 0.5684994999999999, 0.5897744814814815, 0.6164348461538461, 0.6318879615384615, 0.6136068461538462, 0.6107481153846154, 0.6207321250000001, 0.6466744166666668, 0.6735972173913044, 0.7016239130434782, 0.715739, 0.7245615652173913, 0.7354731304347825, 0.7341326086956521, 0.722572260869565, 0.6971630000000001, 0.7137905217391305, 0.7478431818181815, 0.7246734545454546, 0.7363551904761904, 0.7463029999999999, 0.7572161428571428, 0.74285225, 0.70182, 0.7110383888888888, 0.7011649444444445, 0.6746368823529413, 0.6569759999999999, 0.6858208125, 0.6585136000000001, 0.6325815, 0.6186114166666666, 0.6606133636363636, 0.6824936363636364, 0.6219048181818182, 0.5809114545454546, 0.5725367777777778, 0.5449345, 0.37503766666666666, 0.5116875, 0.47710874999999997, 0.43923875, 0.34747750000000005, 0.23827349999999997, 0.1580915, 0.169604] # print('the average length of match is:'+ str(totalLength/len(names))) # x = range(1,len(averageWR)+1) # # x1 = range(1, len(hha)+1) x2 = range(1, len(hhb)+1) x3 = range(1, len(hhc)+1) x4 = range(1, len(hhd)+1) # hha = hha[:68] # hhb = hhb[:68] # hhc = hhc[:68] # hhd = hhd[:68] # hhb = list(map(lambda wr:1-wr,hhb)) # hhc = list(map(lambda wr:1-wr,hhc)) # hhd = list(map(lambda wr:1-wr,hhd)) print(x1) print(x2) print(x3) print(x4) # pyplot.plot(x, averageWR , 's-', color='g') # pyplot.show() # plt.plot([1, 2, 3, 4], [1, 4, 9, 16], 'ro') # plt.axis([0, 6, 0, 20]) # plt.show() # t = np.arange(0., 5., 0.2) # plt.plot(t, t, 'r--', t, t ** 2, 'bs', t, t ** 3, 'g^') # pyplot.figure(22) # ax1 = pyplot.subplot(221) # ax1.set_title('a') # ax1.set_ylabel('wr of white') # ax1.set_xlabel('moves of white') # pyplot.plot(x1,hha,'r--',) # ax2 = pyplot.subplot(222) # ax2.set_ylabel('wr of white') # ax2.set_xlabel('moves of white') # ax2.set_title('b') # pyplot.plot(x2,hhb, 'g--') # ax3 = pyplot.subplot(223) # ax3.set_ylabel('wr of white') # ax3.set_xlabel('moves of white') # ax3.set_title('c') # pyplot.plot(x3,hhc,'b--') # ax4 = pyplot.subplot(224) # ax4.set_ylabel('wr of white') # ax4.set_xlabel('moves of white') # ax4.set_title('d') # pyplot.plot(x4,hhd, 'r--') pyplot.title('winning rate') pyplot.xlabel('move numebers') pyplot.ylabel('winning rate') pyplot.plot(x1,hha,color = 'red',label = '手加減なし') pyplot.plot(x2,hhb,color = 'green',label = '軽度手加減') pyplot.plot(x3,hhc,color = 'blue',label = '中度手加減') pyplot.plot(x4,hhd,color = 'green',label = '重度手加減') pyplot.legend() pyplot.show()

131.925287

1,484

0.793422

2,711

22,955

6.709701

0.433788

0.004948

0.002474

0.002859

0.15602

0.144585

0.141616

0

0.768379

0.083293

22,955

174

1,485

131.925287

0.096041

0.606491

0

0.013259

0.004345

0

1

0.013158

false

0

0.078947

0

0.105263

0.092105

0

null

0

1

0

1

0

null

0

4

77be40d6c0efff4c19f0c90a56ea2d6baae66818

459

py

Python

max_profit/tests.py

aurelienlegrand/coding_challenges

af7da76374ed574892e66ab24d753543e3cb4c68

[ "MIT" ]

null

max_profit/tests.py

aurelienlegrand/coding_challenges

af7da76374ed574892e66ab24d753543e3cb4c68

[ "MIT" ]

null

max_profit/tests.py

aurelienlegrand/coding_challenges

af7da76374ed574892e66ab24d753543e3cb4c68

[ "MIT" ]

null

from max_profit import max_profit def test_simple(): stocks = [1, 2, 3, 4] assert (max_profit(stocks) == [1, 4]) def test_empty(): stocks = [] assert (max_profit(stocks) == []) def test_one_elt(): stocks = [1] assert (max_profit(stocks) == [1, 1]) def test_medium(): stocks = [5, 10, 2, 5] assert (max_profit(stocks) == [5, 10]) def test_medium2(): stocks = [5, 10, 2, 5, 14] assert (max_profit(stocks) == [2, 14])

21.857143

42

0.583878

69

459

3.695652

0.304348

0.247059

0.294118

0.411765

0.258824

0

0.079545

0.233115

459

21

43

21.857143

0.644886

0

0.3125

1

0.3125

false

0

0.0625

0

0.375

0

null

1

0

null

0

1

0

4

77ce8ed737cebe789d9a37bd92f424767f412af3

176

py

Python

src/easy/merge_sorted_array_88.py

ahmet9cengiz/leetCode

9e9a61f059072d7791dd19706b7a3e0d0a446669

[ "MIT" ]

null

src/easy/merge_sorted_array_88.py

ahmet9cengiz/leetCode

9e9a61f059072d7791dd19706b7a3e0d0a446669

[ "MIT" ]

null

src/easy/merge_sorted_array_88.py

ahmet9cengiz/leetCode

9e9a61f059072d7791dd19706b7a3e0d0a446669

[ "MIT" ]

null

class Solution(object): # Time Complexity: O(n) @staticmethod def merge_sorted_array(): if __name__ == '__main__': s = Solution() s.merge_sorted_array()

16

29

0.647727

21

176

4.857143

0.761905

0.215686

0.313725

0

0.227273

176

10

30

17.6

0.75

0.119318

0

0.052288

0

null

0

null

0

1

0

null

1

0

null

0

1

0

4

77f510250ee83fc0a9b85ab55a9eebe61d00c196

18

py

Python

mwnn/__init__.py

slowkow/MWNN

bf70f5cf0d33f68f9a3848e0136ecf735a9458f8

[ "MIT" ]

2

2020-11-20T14:21:53.000Z

2021-08-03T08:03:23.000Z

mwnn/__init__.py

slowkow/MWNN

bf70f5cf0d33f68f9a3848e0136ecf735a9458f8

[ "MIT" ]

null

mwnn/__init__.py

slowkow/MWNN

bf70f5cf0d33f68f9a3848e0136ecf735a9458f8

[ "MIT" ]

2

2020-12-07T01:40:18.000Z

2021-01-31T10:48:10.000Z

__all__ = ["mwnn"]

18

0.611111

2

18

3.5

1

0

0.111111

18

1

18

0.4375

0

0.210526

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

77f8f1170b9848c633cadb1aac40dd9a2290286d

486

py

Python

util/functions.py

knjcode/mxnet-finetuner

f5947a55f704b9cfba10a6f46cf288d191c7ae15

[ "Apache-2.0" ]

112

2017-08-10T05:51:13.000Z

2022-01-10T08:22:36.000Z

util/functions.py

knjcode/mxnet-finetuner

f5947a55f704b9cfba10a6f46cf288d191c7ae15

[ "Apache-2.0" ]

7

2017-11-23T02:31:00.000Z

2018-10-15T14:32:24.000Z

util/functions.py

knjcode/mxnet-finetuner

f5947a55f704b9cfba10a6f46cf288d191c7ae15

[ "Apache-2.0" ]

12

2017-08-18T01:24:05.000Z

2021-04-19T03:07:55.000Z

#!/usr/bin/env python # coding: utf-8 # Utility functions def get_image_size(model_prefix): if 'caffenet' in model_prefix: return 227 elif 'squeezenet' in model_prefix: return 227 elif 'alexnet' in model_prefix: return 227 elif 'googlenet' in model_prefix: return 299 elif 'inception-v3' in model_prefix: return 299 elif 'inception-v4' in model_prefix: return 299 elif 'inception-resnet-v2' in model_prefix: return 299 else: return 224

21.130435

45

0.705761

71

486

4.690141

0.450704

0.264264

0.273273

0.399399

0.615616

0.54955

0.315315

0

0.073491

0.216049

486

22

46

22.090909

0.800525

0.106996

0

0.411765

0

0.178654

0

1

0.058824

false

0

0.529412

0

null

1

0

null

0

1

0

4

77fcb515515abf58188da08626ac118efd58f8cb

156

py

Python

tests/test_cli.py

gitter-badger/dependenpy

db411b7bbd466b79064cbb419049f17cd3bff4c1

[ "ISC" ]

null

tests/test_cli.py

gitter-badger/dependenpy

db411b7bbd466b79064cbb419049f17cd3bff4c1

[ "ISC" ]

null

tests/test_cli.py

gitter-badger/dependenpy

db411b7bbd466b79064cbb419049f17cd3bff4c1

[ "ISC" ]

null

import pytest from dependenpy import cli def test_main(): with pytest.raises(SystemExit) as exit: cli.main([]) assert exit.code == 2

15.6

43

0.647436

21

156

4.761905

0.761905

0

0.008621

0.25641

156

9

44

17.333333

0.853448

0

0.166667

1

0.166667

true

0

0.333333

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

7ac726d9b368153141287f4baf46701bf438f15b

163

py

Python

test/files/no_skip.py

faho/littlecheck

12cad505fa6c3c4b45e5e2a0d25b043435ed0cee

[ "CC0-1.0" ]

26

2019-06-08T22:04:46.000Z

2022-01-11T22:08:04.000Z

test/files/no_skip.py

0verk1ll/littlecheck

5f6c024fbdf6654e7851d3fd756a6d56e167476e

[ "CC0-1.0" ]

7

2019-06-24T15:36:59.000Z

2022-01-28T11:10:00.000Z

test/files/no_skip.py

0verk1ll/littlecheck

5f6c024fbdf6654e7851d3fd756a6d56e167476e

[ "CC0-1.0" ]

3

2019-06-24T15:38:18.000Z

2021-03-21T21:24:28.000Z

#!/usr/bin/python # Any system should have an sh capable of `command -v` # REQUIRES: command -v sh print("Oh, but it is!") # CHECK: This should never be compared

23.285714

54

0.699387

28

163

4.071429

0.857143

0.140351

0

0.177914

163

6

55

27.166667

0.850746

0.797546

0

0.482759

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

7ae67a1b1b96f390379d87e7cac415164a6181b2

870

py

Python

Chapter01/Exercise1.04/bookr/reviews/tests.py

PacktPublishing/Web-Development-Projects-with-Django

531bc4d58d614888cc81b7fd6f8ec859f5a65217

[ "MIT" ]

97

2021-03-01T12:54:30.000Z

2022-03-28T02:57:26.000Z

Chapter01/Exercise1.04/bookr/reviews/tests.py

PacktPublishing/Web-Development-Projects-with-Django

531bc4d58d614888cc81b7fd6f8ec859f5a65217

[ "MIT" ]

81

2020-08-27T04:56:04.000Z

2022-03-12T00:53:40.000Z

Chapter01/Exercise1.04/bookr/reviews/tests.py

PacktPublishing/Web-Development-Projects-with-Django

531bc4d58d614888cc81b7fd6f8ec859f5a65217

[ "MIT" ]

163

2020-12-25T14:38:38.000Z

2022-03-30T10:31:40.000Z

from django.test import TestCase from django.test import Client class Exercise4TestCase(TestCase): def test_template_content(self): """Test that the index view returns the set names from the paramaters, or defaults to 'world'""" c = Client() response = c.get('/') self.assertEqual(response.status_code, 200) self.assertEqual(response.content, b'Hello, world!') response = c.get('/?name=Ben') self.assertEqual(response.status_code, 200) self.assertEqual(response.content, b'Hello, Ben!') response = c.get('/?name=Ben&name=John') self.assertEqual(response.status_code, 200) self.assertEqual(response.content, b'Hello, John!') response = c.get('/?name=') self.assertEqual(response.status_code, 200) self.assertEqual(response.content, b'Hello, world!')

36.25

104

0.65977

107

870

5.308411

0.336449

0.211268

0.323944

0.204225

0.591549

0.524648

0

0.01895

0.211494

870

23

105

37.826087

0.809038

0.103448

0

0.352941

0

0.112403

0

0.470588

1

0.058824

false

0

0.117647

0

0.235294

0

null

1

0

null

0

1

0

4

bb03e10e6c323ad03f8ad0ceb54acf2170f04bad

110

py

Python

GGDBFetch/ggdbfetch/__init__.py

pdhsulab/GeneGraphDB

f2754a596d08680f7f0b092391653d9dbf477ddd

[ "MIT" ]

6

2021-08-28T07:03:07.000Z

2022-02-22T03:34:11.000Z

GGDBFetch/ggdbfetch/__init__.py

pdhsulab/GeneGraphDB

f2754a596d08680f7f0b092391653d9dbf477ddd

[ "MIT" ]

null

GGDBFetch/ggdbfetch/__init__.py

pdhsulab/GeneGraphDB

f2754a596d08680f7f0b092391653d9dbf477ddd

[ "MIT" ]

null

CLUSTERS_DB = 'complete_clusters.db' SAMPLE2PROTEIN_DB = 'sample2protein.db' SAMPLE2PATH = 'sample2path.tsv'

22

39

0.8

12

110

7.083333

0.5

0.235294

0.423529

0

0.04

0.090909

110

4

40

27.5

0.81

0

0.477064

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

bb0c536d5aeda0d40a3df6bbe7ad7c4f339b41a5

344

py

Python

rewards/serializer.py

zizoubrown/Awards

53af5e9706bdc18a949d49653a8abbf93fb4122d

[ "Unlicense" ]

null

rewards/serializer.py

zizoubrown/Awards

53af5e9706bdc18a949d49653a8abbf93fb4122d

[ "Unlicense" ]

null

rewards/serializer.py

zizoubrown/Awards

53af5e9706bdc18a949d49653a8abbf93fb4122d

[ "Unlicense" ]

null

from rest_framework import serializers from .models import Profile,Image,Rating class ProfileSerializer(serializers.ModelSerializer): class Meta: model=Profile fields=('user.username','bio') class ImageSerializer(serializers.ModelSerializer): class Meta: model=Image fields=('name','caption','caption')

28.666667

53

0.72093

35

344

7.057143

0.6

0.210526

0.251012

0.283401

0.323887

0

0.177326

344

12

54

28.666667

0.872792

0

0.2

0

0.098551

0

1

0

false

0

0.2

0

0.6

0

null

1

0

null

0

1

0

4

bb1ef0adff80f31ff5d085b0c1f3c0d4b69cae99

135

py

Python

reddit2telegram/channels/r_kratom/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/r_kratom/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/r_kratom/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 subreddit = 'kratom' t_channel = '@r_kratom' def send_post(submission, r2t): return r2t.send_simple(submission)

15

38

0.733333

19

135

5

0.789474

0

0.025862

0.140741

135

8

39

16.875

0.793103

0.103704

0

0.125

0

1

0.25

false

0

0.25

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

bb31130d736b3b8a9be2401baaa040078a44635c

5,358

py

Python

cogs/search.py

TFs-Eternal/MyAnimeList-discord-bot

ac1df931c36d03a39ef173bfdd5ed07765a7fd4d

[ "MIT" ]

9

2021-09-06T18:06:09.000Z

2022-03-25T17:05:38.000Z

cogs/search.py

TFs-Eternal/MyAnimeList-discord-bot

ac1df931c36d03a39ef173bfdd5ed07765a7fd4d

[ "MIT" ]

1

2022-01-23T14:40:02.000Z

2022-01-30T16:38:04.000Z

cogs/search.py

TFs-Eternal/MyAnimeList-discord-bot

ac1df931c36d03a39ef173bfdd5ed07765a7fd4d

[ "MIT" ]

1

2022-01-23T14:15:48.000Z

import discord from discord.ext import commands from discord.ext.commands import MissingRequiredArgument from cogs.getjson import jikanjson from cogs.getname import getname from cogs.results import results from cogs.selection import selection prefix = '+' class Search(commands.Cog): def __init__(self, client): self.client = client description = 'Gives information about any anime via '+ '[MyAnimeList](https://myanimelist.net/).' @commands.command(name='anime',brief='Get information about an anime.',usage=f'`{prefix}anime <name>`',help=f'`{prefix}anime Hyouka`\n`{prefix}anime NHK ni Youkoso!`\n`{prefix}anime オレンジ`',description=description) async def anime(self,ctx,*,name): if ctx.guild: pass else: return query = getname(name) url = f'https://api.jikan.moe/v4/anime?q={query}&order_by=members&sort=desc&page=1' search_result = jikanjson(url) data = search_result['data'] data_len = len(search_result['data']) if data_len == 1: n = 0 elif data_len == 0: await ctx.send('No results for query.') return else: output = results(data,'title',name,'animes') output_message = await ctx.send(output) selection_result = await selection(self,ctx,output_message,data_len,'anime') if selection_result: n = selection_result - 1 else: return search = search_result["data"][n] embed=discord.Embed(title=search["title"], url=search["url"] , description=search['synopsis'], color=0xf37a12) embed.set_thumbnail(url=search["images"]['jpg']['image_url']) embed.add_field(name="Score", value=search["score"], inline=True) embed.add_field(name="Members", value=search["members"], inline=True) if search["aired"]["from"] is None: embed.add_field(name="Start Date", value='Unknown', inline=True) else: embed.add_field(name="Start Date", value=search["aired"]["from"][:-15], inline=True) if search["aired"]["to"] is None: embed.add_field(name="End Date", value="Unknown", inline=True) else: embed.add_field(name="End Date", value=search["aired"]["to"][:-15], inline=True) embed.add_field(name="Total Episodes", value=search["episodes"], inline=True) embed.add_field(name="Type", value=search["type"], inline=True) genre = search['genres'] c = [] for length in range(0,len(genre)): c.append(genre[length]['name']) string = ', '.join([str(item) for item in c]) genres = string embed.add_field(name="Genres", value=genres, inline=False) await ctx.send(embed=embed) @anime.error async def anime_error(self,ctx,error): if isinstance(error,(MissingRequiredArgument)): if ctx.guild: await ctx.send('Please provide a query.') else: return desc = 'Gives information about any manga via '+'[MyAnimeList](https://myanimelist.net/).' @commands.command(name='manga',brief='Get information about a manga.',usage=f'`{prefix}manga <name>`',description=desc,help=f'`{prefix}manga Omniscient Reader`\n`{prefix}manga attack on titan`\n`{prefix}manga 東京卍リベンジャーズ`') async def manga(self,ctx,*,name): if ctx.guild: pass else: return query = getname(name) url = f'https://api.jikan.moe/v4/manga?q={query}&order_by=members&sort=desc&page=1' search_result = jikanjson(url) data = search_result['data'] data_len = len(search_result['data']) if data_len == 1: n = 0 elif data_len == 0: await ctx.send('No results for query.') return else: output = results(data,'title',name,'mangas') output_message = await ctx.send(output) selection_result = await selection(self,ctx,output_message,data_len,'manga') if selection_result: n = selection_result - 1 else: return search = search_result["data"][n] embed=discord.Embed(title=search["title"], url=search["url"] , description=search['synopsis'], color=0xf37a12) embed.set_thumbnail(url=search["images"]['jpg']['image_url']) embed.add_field(name="Score", value=search["scored"], inline=True) embed.add_field(name="Members", value=search["members"], inline=True) if search["published"]["from"] is None: embed.add_field(name="Start Date", value='Unknown', inline=True) else: embed.add_field(name="Start Date", value=search["published"]["from"][:-15], inline=True) if search["published"]["to"] is None: embed.add_field(name="End Date", value="Unknown", inline=True) else: embed.add_field(name="End Date", value=search["published"]["to"][:-15], inline=True) embed.add_field(name="Total Chapters", value=search["chapters"], inline=True) embed.add_field(name="Type", value=search["type"], inline=True) genre = search['genres'] c = [] for length in range(0,len(genre)): c.append(genre[length]['name']) string = ', '.join([str(item) for item in c]) genres = string embed.add_field(name="Genres", value=genres, inline=False) await ctx.send(embed=embed) @manga.error async def manga_error(self,ctx,error): if isinstance(error,(MissingRequiredArgument)): if ctx.guild: await ctx.send('Please provide a query.') else: return def setup(bot): bot.add_cog(Search(bot))

35.72

224

0.656962

722

5,358

4.796399

0.186981

0.041582

0.067571

0.088363

0.751372

0.743286

0.729425

0.699394

0.678602

0

0.007329

0.185144

5,358

149

225

35.959732

0.785845

0

0.666667

0

0.03252

0.210526

0.017357

0.01626

0

0.002986

0

1

0.01626

false

0.01626

0.056911

0

0.162602

0

null

0

1

0

1

0

null

0

4

bb318dd3c47d148b99963cb81e543121f21788d9

204

py

Python

medapp/deepmed/test/test.py

EmersonAlvaro/MedApp

e4203d05f69208badfda7c53b77f72ba48f45fc2

[ "Apache-2.0" ]

null

medapp/deepmed/test/test.py

EmersonAlvaro/MedApp

e4203d05f69208badfda7c53b77f72ba48f45fc2

[ "Apache-2.0" ]

null

medapp/deepmed/test/test.py

EmersonAlvaro/MedApp

e4203d05f69208badfda7c53b77f72ba48f45fc2

[ "Apache-2.0" ]

null

from dataset.dataset import DataSet from settings import model_dir from model.xception import Xception import tensorflow as tf from pathlib import Path class Test: def __init__(self): pass

18.545455

35

0.77451

29

204

5.275862

0.62069

0.183007

0

0.196078

204

11

36

18.545455

0.932927

0

1

0.125

false

0.125

0.625

0

0.875

0

1

0

null

0

null

0

1

0

1

0

4

247951633c073aeb5861afc6c64f6ac8b788a884

768

py

Python

src/face_check/settings/secrets.py

tarvitz/face-check

e468025c7a5615f4ec8ee24c06252ceeb8a2e129

[ "BSD-4-Clause" ]

null

src/face_check/settings/secrets.py

tarvitz/face-check

e468025c7a5615f4ec8ee24c06252ceeb8a2e129

[ "BSD-4-Clause" ]

7

2019-01-01T17:13:06.000Z

2021-06-10T17:42:54.000Z

src/face_check/settings/secrets.py

tarvitz/face-check

e468025c7a5615f4ec8ee24c06252ceeb8a2e129

[ "BSD-4-Clause" ]

null

#: configuration keeping secrets keys separately to keep them in strict #: form #: reduce redundant imports from . utils import get_env_string as _get_env_string SOCIAL_AUTH_TWITCH_KEY = _get_env_string('SOCIAL_AUTH_TWITCH_KEY', '') SOCIAL_AUTH_TWITCH_SECRET = _get_env_string('SOCIAL_AUTH_TWITCH_SECRET', '') SOCIAL_AUTH_GOODGAME_KEY = _get_env_string('SOCIAL_AUTH_GOODGAME_KEY', '') SOCIAL_AUTH_GOODGAME_SECRET = _get_env_string('SOCIAL_AUTH_GOODGAME_SECRET', '') SOCIAL_AUTH_GOOGLE_OAUTH2_KEY = _get_env_string( 'SOCIAL_AUTH_GOOGLE_OAUTH2_KEY', '' ) SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET = _get_env_string( 'SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET', '' ) EMAIL_HOST_PASSWORD = _get_env_string('EMAIL_HOST_PASSWORD', '')

38.4

76

0.770833

103

768

5.067961

0.31068

0.229885

0.206897

0.241379

0.565134

0.463602

0.249042

0

0.006107

0.147135

768

19

77

40.421053

0.79084

0.132813

0

0.268477

0.239819

0

1

0

false

0.076923

0

0.076923

0

null

1

0

null

0

1

0

4

24ac49fc4d87097dd5a527f5881221618dcc8ff8

1,920

py

Python

Test_MatchStates.py

deanturpin/banter-bot

8bd4734b7701c2bb5694299884c3abd22710bd3c

[ "Apache-2.0" ]

null

Test_MatchStates.py

deanturpin/banter-bot

8bd4734b7701c2bb5694299884c3abd22710bd3c

[ "Apache-2.0" ]

2

2022-03-27T10:44:38.000Z

2022-03-28T19:24:39.000Z

Test_MatchStates.py

deanturpin/banter-bot

8bd4734b7701c2bb5694299884c3abd22710bd3c

[ "Apache-2.0" ]

1

2022-03-28T11:45:47.000Z

from Footy.MatchStates import (MatchState, Drawing, TeamLeadByOne, TeamExtendingLead, TeamLosingLead, TeamDeficitOfOne, TeamExtendingDeficit, TeamLosingDeficit) matchState = MatchState(0, 0) matchState = matchState.FindState() print(matchState) assert(isinstance(matchState, Drawing)) matchState = matchState.GoalScored(1, 0) print(matchState) assert(isinstance(matchState, TeamLeadByOne)) matchState = matchState.GoalScored(2, 0) print(matchState) assert(isinstance(matchState, TeamExtendingLead)) matchState = matchState.GoalScored(3, 0) print(matchState) assert(isinstance(matchState, TeamExtendingLead)) matchState = matchState.GoalScored(3, 1) print(matchState) assert(isinstance(matchState, TeamLosingLead)) matchState = matchState.GoalScored(3, 2) print(matchState) assert(isinstance(matchState, TeamLosingLead)) matchState = matchState.GoalScored(3, 3) print(matchState) assert(isinstance(matchState, Drawing)) matchState = matchState.GoalScored(3, 4) print(matchState) assert(isinstance(matchState, TeamDeficitOfOne)) matchState = matchState.GoalScored(3, 5) print(matchState) assert(isinstance(matchState, TeamExtendingDeficit)) matchState = matchState.GoalScored(3, 6) print(matchState) assert(isinstance(matchState, TeamExtendingDeficit)) matchState = matchState.GoalScored(4, 6) print(matchState) assert(isinstance(matchState, TeamLosingDeficit)) matchState = matchState.GoalScored(5, 6) print(matchState) assert(isinstance(matchState, TeamLosingDeficit)) matchState = matchState.GoalScored(6, 6) print(matchState) assert(isinstance(matchState, Drawing)) matchState = matchState.GoalScored(8, 6) print(matchState) assert(isinstance(matchState, TeamExtendingLead))

28.235294

53

0.720833

168

1,920

8.238095

0.14881

0.216763

0.212428

0.313584

0.787572

0.757948

0.683526

0.382948

0

0.017891

0.184896

1,920

67

54

28.656716

0.866454

0

0.509804

0

0.27451

1

0

false

0

0.019608

0

0.019608

0.27451

0

null

1

0

1

0

null

0

4

700549bb9bd9e97688cc65823fa761deb61478b5

43

py

Python

ML-gane.py

HackerLion123/Machine-Learning

71224ea97ba4aaded13a700e07b498469299964b

[ "MIT" ]

1

2018-07-21T15:41:40.000Z

ML-gane.py

HackerLion123/Machine-Learning

71224ea97ba4aaded13a700e07b498469299964b

[ "MIT" ]

null

ML-gane.py

HackerLion123/Machine-Learning

71224ea97ba4aaded13a700e07b498469299964b

[ "MIT" ]

null

from sklearn import tree; Test_data = [[]]

14.333333

25

0.697674

6

43

4.833333

1

0

0.162791

43

2

26

21.5

0.805556

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

702db3e36a42259ea54b51a6a77b52b8e36dbd6f

221

py

Python

dskc/clean/__init__.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

dskc/clean/__init__.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

dskc/clean/__init__.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

from .clean import * from .dates import * from .dtype import * from .string import * from .row import * from .columns import * from .text import * from .inputations import * from .topic_modeling.topic_modeling import *

18.416667

44

0.742081

30

221

5.4

0.4

0.493827

0

0.171946

221

11

45

20.090909

0.885246

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

703f0318f80a46018f122108f121012e4b2eddc4

52

py

Python

checksum.py

DexHunter/Think-Python-book-exercise-solutions

d0abae261eda1dca99043e17e8a1e614caad2140

[ "CC-BY-4.0" ]

24

2019-05-07T15:11:28.000Z

2022-03-02T04:50:28.000Z

checksum.py

Dekzu/Think-Python-book-exercise-solutions

d0abae261eda1dca99043e17e8a1e614caad2140

[ "CC-BY-4.0" ]

null

checksum.py

Dekzu/Think-Python-book-exercise-solutions

d0abae261eda1dca99043e17e8a1e614caad2140

[ "CC-BY-4.0" ]

19

2019-08-05T20:59:04.000Z

2022-03-07T05:13:32.000Z

#This is for check duplicate file from exercise 14-3

52

0.807692

10

52

4.2

1

0

0.068182

0.153846

52

1

52

0.886364

0.980769

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

7054234e51d4ae1f6f2e0b8847d61725a00c8c12

768

py

Python

Level2/Lessons12911/wowo0709.py

StudyForCoding/ProgrammersLevel

dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25

[ "MIT" ]

null

Level2/Lessons12911/wowo0709.py

StudyForCoding/ProgrammersLevel

dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25

[ "MIT" ]

null

Level2/Lessons12911/wowo0709.py

StudyForCoding/ProgrammersLevel

dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25

[ "MIT" ]

1

2021-04-05T07:35:59.000Z

# 다음 큰 숫자 def solution(n): cnt = bin(n).count('1') while True: n += 1 if bin(n).count('1') == cnt: return n ''' 정확성 테스트 테스트 1 〉 통과 (0.01ms, 10.2MB) 테스트 2 〉 통과 (0.00ms, 10.2MB) 테스트 3 〉 통과 (0.00ms, 10.2MB) 테스트 4 〉 통과 (0.00ms, 10.2MB) 테스트 5 〉 통과 (0.01ms, 10.2MB) 테스트 6 〉 통과 (0.00ms, 10.3MB) 테스트 7 〉 통과 (0.01ms, 10.2MB) 테스트 8 〉 통과 (0.00ms, 10.2MB) 테스트 9 〉 통과 (0.01ms, 10.2MB) 테스트 10 〉 통과 (0.01ms, 10.2MB) 테스트 11 〉 통과 (0.00ms, 10.2MB) 테스트 12 〉 통과 (0.00ms, 10.1MB) 테스트 13 〉 통과 (0.00ms, 10.2MB) 테스트 14 〉 통과 (0.00ms, 10.2MB) 효율성 테스트 테스트 1 〉 통과 (0.01ms, 10.2MB) 테스트 2 〉 통과 (0.00ms, 10.2MB) 테스트 3 〉 통과 (0.00ms, 10.2MB) 테스트 4 〉 통과 (0.00ms, 10.2MB) 테스트 5 〉 통과 (0.01ms, 10.2MB) 테스트 6 〉 통과 (0.00ms, 10.2MB) 채점 결과 정확성: 70.0 효율성: 30.0 합계: 100.0 / 100.0 '''

21.333333

45

0.554688

200

768

2.23

0.22

0.134529

0.179372

0.233184

0.730942

0.70852

0.672646

0.457399

0

0.276923

0.238281

768

36

46

21.333333

0.451282

0.009115

0

0.015873

0

1

0.2

false

0

0.2

0

null

0

1

0

1

0

1

0

1

0

null

0

4

70548e4dc1ad1e5b387c79f6d7919b18ab3cfbe9

190

py

Python

signaling/__init__.py

mdomke/signaling

c51d769d78b787fea5364027d7fd00b5d268ef2c

[ "MIT" ]

null

signaling/__init__.py

mdomke/signaling

c51d769d78b787fea5364027d7fd00b5d268ef2c

[ "MIT" ]

null

signaling/__init__.py

mdomke/signaling

c51d769d78b787fea5364027d7fd00b5d268ef2c

[ "MIT" ]

null

from pkg_resources import get_distribution from signaling.signal import Signal def version(): return get_distribution(__name__).version __version__ = version() __all__ = ['Signal']

15.833333

45

0.778947

22

190

6.045455

0.590909

0.225564

0

0.142105

190

11

46

17.272727

0.815951

0

0.031579

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

1

0

null

1

0

null

0

1

0

4

70599c8e1408b1053b5812530394c96fa604afc7

406

py

Python

tenants/admin.py

ibowditch/polls

1428b87bf3a83c40083b0e248c1718a89078f11f

[ "MIT" ]

null

tenants/admin.py

ibowditch/polls

1428b87bf3a83c40083b0e248c1718a89078f11f

[ "MIT" ]

1

2021-06-10T21:51:24.000Z

tenants/admin.py

ibowditch/polls

1428b87bf3a83c40083b0e248c1718a89078f11f

[ "MIT" ]

null

from django.db import models from django.contrib import admin from django_tenants.admin import TenantAdminMixin from .models import Client, Domain @admin.register(Client) class ClientAdmin(TenantAdminMixin, admin.ModelAdmin): list_display = ('name', 'paid_until') # @admin.register(Domain) # class DomainAdmin(TenantAdminMixin, admin.ModelAdmin): # list_display = ('name', 'paid_until')

29

56

0.761084

47

406

6.468085

0.446809

0.098684

0.203947

0.230263

0.361842

0

0.135468

406

13

57

31.230769

0.866097

0.305419

0

0.05036

0

1

0

false

0

0.571429

0

0.857143

0

null

0

1

0

null

0

1

0

1

0

4

7065d843df85bf0ed4418f2f79cf522907214a55

144

py

Python

perfiles/apps.py

jlopez0591/SIGIA

e857e2273daa43ab64fa78df254275af2dbcc2a5

[ "MIT" ]

null

perfiles/apps.py

jlopez0591/SIGIA

e857e2273daa43ab64fa78df254275af2dbcc2a5

[ "MIT" ]

7

2020-02-12T00:42:15.000Z

2022-03-11T23:23:48.000Z

perfiles/apps.py

jlopez0591/SIGIA

e857e2273daa43ab64fa78df254275af2dbcc2a5

[ "MIT" ]

null

from django.apps import AppConfig class PerfilesConfig(AppConfig): name = 'perfiles' def ready(self): import perfiles.signals

18

33

0.708333

16

144

6.375

0.8125

0

0.215278

144

8

34

18

0.902655

0

0.055172

0

1

0.2

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

7067af6c6816240c3ad10cb06f83d60905f4663b

206

py

Python

zorg/buildbot/commands/__init__.py

antiagainst/llvm-zorg

a5b58cdd800d0d45b1bdd1f7fe058db6acbfd918

[ "Apache-2.0" ]

1

2019-02-10T03:05:05.000Z

zorg/buildbot/commands/__init__.py

antiagainst/llvm-zorg

a5b58cdd800d0d45b1bdd1f7fe058db6acbfd918

[ "Apache-2.0" ]

null

zorg/buildbot/commands/__init__.py

antiagainst/llvm-zorg

a5b58cdd800d0d45b1bdd1f7fe058db6acbfd918

[ "Apache-2.0" ]

null

import AnalyzerCompareCommand import BatchFileDownload import LitTestCommand import SuppressionDejaGNUCommand import DejaGNUCommand import GTestCommand import NinjaCommand import CmakeCommand __all__ = []

18.727273

32

0.88835

17

206

10.529412

0.588235

0

0.097087

206

10

33

20.6

0.962366

0

1

0

false

0

0.888889

0

0.888889

0

1

0

1

null

0

null

0

1

0

1

0

4

56720c46692e1092bb40026f35c265f2e4708424

159

py

Python

teste/models.py

mhiloca/TourismApi

b9904354f2d249e996d79f7a6ad58269c68363d7

[ "MIT" ]

null

teste/models.py

mhiloca/TourismApi

b9904354f2d249e996d79f7a6ad58269c68363d7

[ "MIT" ]

null

teste/models.py

mhiloca/TourismApi

b9904354f2d249e996d79f7a6ad58269c68363d7

[ "MIT" ]

null

from django.db import models class Teste(models.Model): anything = models.CharField(max_length=100) def __str__(self): return self.anything

17.666667

47

0.710692

21

159

5.142857

0.809524

0

0.023622

0.201258

159

8

48

19.875

0.826772

0

1

0.2

false

0

0.2

1

0

1

0

null

0

1

0

null

0

1

0

4

569297f047e3d0087fb233e3631ee7b27c1de664

92

py

Python

revasbot/revas_calculations.py

iwo-strzebonski/SeleBot

885b5b9ca264d9ee59200c4f7157250c85872fbe

[ "WTFPL" ]

null

revasbot/revas_calculations.py

iwo-strzebonski/SeleBot

885b5b9ca264d9ee59200c4f7157250c85872fbe

[ "WTFPL" ]

null

revasbot/revas_calculations.py

iwo-strzebonski/SeleBot

885b5b9ca264d9ee59200c4f7157250c85872fbe

[ "WTFPL" ]

null

class RevasCalculations: '''Functions related to calculations go there ''' pass

18.4

49

0.684783

9

92

7

1

0

0.23913

92

4

50

23

0.9

0.456522

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

56a17b4efbac254af66f4eb570662a6b8ebf3e14

71

py

Python

app/grandchallenge/algorithms/__init__.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

1

2021-02-09T10:30:44.000Z

app/grandchallenge/algorithms/__init__.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

app/grandchallenge/algorithms/__init__.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

default_app_config = "grandchallenge.algorithms.apps.AlgorithmsConfig"

35.5

70

0.873239

7

71

8.571429

1

0

0.042254

71

1

71

0.882353

0

0.661972

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

3b099d71b6eefc478bf7afddcc23159ef7466de7

99

py

Python

technologies/apps.py

bemot/agritechnologies

554eec7477a14f32a6fb40d3adcc0b9494fa240f

[ "MIT" ]

null

technologies/apps.py

bemot/agritechnologies

554eec7477a14f32a6fb40d3adcc0b9494fa240f

[ "MIT" ]

2

2021-12-28T22:16:15.000Z

2022-02-14T04:59:18.000Z

technologies/apps.py

bemot/agritechnologies

554eec7477a14f32a6fb40d3adcc0b9494fa240f

[ "MIT" ]

null

from django.apps import AppConfig class TechnologiesConfig(AppConfig): name = 'technologies'

16.5

36

0.777778

10

99

7.7

0.9

0

0.151515

99

5

37

19.8

0.916667

0

0.121212

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3b0c51436de76e236ea94ae2b3f95e7bb9069e59

326

py

Python

packaging/config/stock.py

aisenyi/packaging

6159432401c4eae890241732330f0bd6d2972384

[ "MIT" ]

null

packaging/config/stock.py

aisenyi/packaging

6159432401c4eae890241732330f0bd6d2972384

[ "MIT" ]

null

packaging/config/stock.py

aisenyi/packaging

6159432401c4eae890241732330f0bd6d2972384

[ "MIT" ]

null

from frappe import _ def get_data(): return [ { "label": _("Stock Transactions"), "items": [ { "type": "page", "name": "packing-slip", "label": _("Packing Slip") } ] }, ]

18.111111

46

0.312883

19

326

5.157895

0.842105

0.22449

0

0.555215

326

17

47

19.176471

0.675862

0

0.211656

0

1

0.071429

true

0

0.071429

0.214286

0

1

0

null

1

0

1

0

null

0

1

0

4

3b25c93c78b2af83a6afd5fe5f7a8d8c14736f67

256

py

Python

src/htsql/tweak/inet/signature.py

sirex/htsql

52275f6a584b412c109822d2ed2a5e69ac522cdf

[ "Apache-2.0" ]

15

2020-02-11T11:24:34.000Z

2022-03-03T20:46:34.000Z

src/htsql/tweak/inet/signature.py

sirex/htsql

52275f6a584b412c109822d2ed2a5e69ac522cdf

[ "Apache-2.0" ]

1

2020-02-13T14:08:34.000Z

2020-02-13T14:16:04.000Z

src/htsql/tweak/inet/signature.py

sirex/htsql

52275f6a584b412c109822d2ed2a5e69ac522cdf

[ "Apache-2.0" ]

2

2020-02-13T14:10:06.000Z

2021-02-25T04:36:05.000Z

# # Copyright (c) 2006-2013, Prometheus Research, LLC # from ...core.tr.fn.signature import AddSig, SubtractSig class INetIncrementSig(AddSig): pass class INetDecrementSig(SubtractSig): pass class INetDifferenceSig(SubtractSig): pass

12.190476

55

0.730469

27

256

6.925926

0.740741

0.096257

0

0.037915

0.175781

256

20

56

12.8

0.848341

0.191406

0

0.428571

0

1

0

true

0.428571

0.142857

0

0.571429

0

1

0

null

0

null

0

1

0

1

0

4

3b37613b90f49ed3abf76d412e43eeea0e8fa27d

66

py

Python

yggdrasil/tests/scripts/python_model.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

22

2019-02-05T15:20:07.000Z

2022-02-25T09:00:40.000Z

yggdrasil/tests/scripts/python_model.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

48

2019-02-15T20:41:24.000Z

2022-03-16T20:52:02.000Z

yggdrasil/tests/scripts/python_model.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

16

2019-04-27T03:36:40.000Z

2021-12-02T09:47:06.000Z

from yggdrasil.tools import sleep sleep(1) print('Python model')

13.2

33

0.772727

10

66

5.1

0.9

0

0.017241

0.121212

66

4

34

16.5

0.862069

0

0.181818

0

1

0

true

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

3b4204e2f11d17b92922c050d3555fea394bddbe

105

py

Python

kinto_portier/utils.py

dstaley/kinto-portier

14a70f3addac41aebb818fced7d6c2c0a8aab0d8

[ "Apache-2.0" ]

8

2016-12-12T22:10:51.000Z

2019-09-03T02:16:21.000Z

kinto_portier/utils.py

dstaley/kinto-portier

14a70f3addac41aebb818fced7d6c2c0a8aab0d8

[ "Apache-2.0" ]

38

2016-12-12T22:10:34.000Z

2021-05-10T06:56:27.000Z

kinto_portier/utils.py

dstaley/kinto-portier

14a70f3addac41aebb818fced7d6c2c0a8aab0d8

[ "Apache-2.0" ]

3

2018-12-23T20:04:34.000Z

2021-10-04T07:54:14.000Z

def portier_conf(request, name): key = 'portier.%s' % name return request.registry.settings[key]

26.25

41

0.695238

14

105

5.142857

0.714286

0

0.171429

105

3

42

35

0.827586

0

0.095238

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3b64a26cc9ea0033ebe0504ab8d52834355a22f5

93

py

Python

backend/yggdrasil/apps.py

projectpai/paipass

8b8e70b6808bf026cf957e240c7eed7bfcf4c55d

[ "MIT" ]

3

2021-04-17T10:20:26.000Z

2022-03-08T07:36:13.000Z

backend/yggdrasil/apps.py

projectpai/paipass

8b8e70b6808bf026cf957e240c7eed7bfcf4c55d

[ "MIT" ]

null

backend/yggdrasil/apps.py

projectpai/paipass

8b8e70b6808bf026cf957e240c7eed7bfcf4c55d

[ "MIT" ]

null

from django.apps import AppConfig class YggdrasilConfig(AppConfig): name = 'yggdrasil'

15.5

33

0.763441

10

93

7.1

0.9

0

0.16129

93

5

34

18.6

0.910256

0

0.096774

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3b757804d920b7466be73449480f34458e5d86b7

117

py

Python

CodeWars/7 Kyu/Check if a triangle is an equable triangle!.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/Check if a triangle is an equable triangle!.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/Check if a triangle is an equable triangle!.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def equable_triangle(a, b, c): p = a + b + c d = p / 2 return (d * (d - a) * (d - b) * (d - c))**0.5 == p

29.25

54

0.384615

24

117

1.833333

0.5

0.090909

0.136364

0

0.040541

0.367521

117

4

54

29.25

0.554054

0

1

0.25

false

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

4

3b75c9e21a59f06a0a71ac339b153e617a2a809f

2,228

py

Python

Store/AuthStore.py

uscope-platform/uscope_server

d8679c1aea0210ed80375a2b071b5971ce7a7232

[ "Apache-2.0" ]

null

Store/AuthStore.py

uscope-platform/uscope_server

d8679c1aea0210ed80375a2b071b5971ce7a7232

[ "Apache-2.0" ]

null

Store/AuthStore.py

uscope-platform/uscope_server

d8679c1aea0210ed80375a2b071b5971ce7a7232

[ "Apache-2.0" ]

null

# Copyright 2021 University of Nottingham Ningbo China # Author: Filippo Savi <filssavi@gmail.com> # # 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 datetime as dt from sqlalchemy.orm import declarative_base, sessionmaker from sqlalchemy import create_engine from .Elements import Users class AuthStore: def __init__(self, host): self.engine = create_engine(host) Base = declarative_base() Base.metadata.create_all(self.engine) self.Session = sessionmaker(bind=self.engine) self.auth_db = Users.AuthenticationDatabase(self.Session) # PERIPHERALS def get_users_list(self): return self.auth_db.get_users_list() def add_user(self, content): self.auth_db.add_user(content['username'], content['pw_hash'], content['role']) def user_exists(self, username): self.auth_db.user_exists(username) def get_password_hash(self, username): return self.auth_db.get_password_hash(username) def get_user(self, username): return self.auth_db.get_user(username) def remove_user(self, username): self.auth_db.remove_user(username) def get_token(self, selector): token = self.auth_db.get_token(selector) return {'username': token.username, 'expiry': token.expiry.timestamp(), 'validator': token.validator} def add_token(self, selector, token_obj): timestamp = dt.datetime.fromtimestamp(token_obj['expiry']) self.auth_db.add_token(token_obj['username'], timestamp, token_obj['validator'], selector) def dump(self): return self.auth_db.dump() def restore(self, data): self.auth_db.restore(data) def remove_token(self, username): pass

31.828571

109

0.714542

303

2,228

5.10231

0.40264

0.056921

0.071151

0.041397

0.096378

0.040103

0

0.004432

0.189856

2,228

69

110

32.289855

0.852078

0.281867

0

0.041035

0

1

0.342857

false

0.085714

0.114286

0.628571

0

null

0

null

0

1

0

1

0

1

0

4

3b7b453bef64a0a3894df227a8aac9db2fa329cd

430

py

Python

app/controllers/receipts.py

theikkila/lopputili

25842e54a272f12ae6bdafeb98c676da396cddf2

[ "MIT" ]

null

app/controllers/receipts.py

theikkila/lopputili

25842e54a272f12ae6bdafeb98c676da396cddf2

[ "MIT" ]

null

app/controllers/receipts.py

theikkila/lopputili

25842e54a272f12ae6bdafeb98c676da396cddf2

[ "MIT" ]

null

from .listview import APIListView, APIDetailView from ..models.receipt import Receipt, Commit class ReceiptsListController(APIListView): def getModel(self): return Receipt class ReceiptsDetailController(APIDetailView): def getModel(self): return Receipt class CommitsListController(APIListView): def getModel(self): return Commit class CommitsDetailController(APIDetailView): def getModel(self): return Commit

18.695652

48

0.804651

43

430

8.046512

0.395349

0.127168

0.17341

0.242775

0.485549

0.190751

0

0.125581

430

23

49

18.695652

0.920213

0

0.571429

0

1

0.285714

false

0

0.142857

0.285714

1

0

null

0

1

0

null

0

1

0

1

0

4

3b7d6c4b0c7dacc1bb29b9b78de8ff6c78cb6ea1

1,152

py

Python

student-feedback-app/form/models.py

karthikvg/Student-feedback-app

2cc948b08fb4fd2624093c8c7f21b8110b5c2c9e

[ "MIT" ]

null

student-feedback-app/form/models.py

karthikvg/Student-feedback-app

2cc948b08fb4fd2624093c8c7f21b8110b5c2c9e

[ "MIT" ]

6

2020-06-05T18:30:14.000Z

2021-09-07T23:56:05.000Z

student-feedback-app/form/models.py

karthikvg/Student-feedback-app

2cc948b08fb4fd2624093c8c7f21b8110b5c2c9e

[ "MIT" ]

null

from django.db import models class Student(models.Model): last_name = models.CharField(max_length=20) middle_name = models.CharField(max_length=20) first_name = models.CharField(max_length=20) roll_no = models.CharField(max_length=20) email_id = models.EmailField(max_length=30) password=models.CharField(max_length=20) picture=models.CharField(max_length=120) def __str__(self): return self.roll_no class Professor(models.Model): name = models.CharField(max_length=120) profession=models.CharField(max_length=120) roll_no=models.CharField(max_length=120) email_id=models.EmailField(max_length=120) description=models.CharField(max_length=500) picture=models.CharField(max_length=120) def __str__(self): return self.roll_no class Message(models.Model): student_roll_no=models.ForeignKey(Student,on_delete=models.CASCADE) professor_roll_no=models.ForeignKey(Professor,on_delete=models.CASCADE) date=models.DateField() title=models.CharField(max_length=120) feed_back=models.CharField(max_length=500) def __str__(self): return self.title

31.135135

75

0.751736

158

1,152

5.208861

0.272152

0.164034

0.284326

0.379101

0.648846

0.417983

0.157959

0

0.039634

0.145833

1,152

36

76

32

0.796748

0

0.25

0

1

0.107143

false

0.035714

0.107143

1

0

null

0

1

0

null

0

1

0

4

8e974c9abe06b801d51218dd99ade875f3ad6833

45

py

Python

inscripta/biocantor/util/__init__.py

InscriptaLabs/BioCantor

e0b240480e229c28d3e12ba629d80ae2e397fa8f

[ "MIT" ]

19

2021-04-20T04:11:30.000Z

2021-10-11T14:48:57.000Z

inscripta/biocantor/util/__init__.py

InscriptaLabs/BioCantor

e0b240480e229c28d3e12ba629d80ae2e397fa8f

[ "MIT" ]

1

2021-08-10T23:13:38.000Z

2021-08-11T18:45:45.000Z

inscripta/biocantor/util/__init__.py

InscriptaLabs/BioCantor

e0b240480e229c28d3e12ba629d80ae2e397fa8f

[ "MIT" ]

2

2021-08-02T08:14:35.000Z

2021-09-15T19:30:38.000Z

""" General utilities used by BioCantor. """

11.25

36

0.688889

5

45

6.2

1

0

0.155556

45

3

37

15

0.815789

0.8

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

8edd1b686facb631a12454e52b590a5c99a65550

209

py

Python

glueball/__init__.py

glueball-css/glueball

88ca97a9789246a86d19d2eb20838e77647f0cff

[ "MIT" ]

null

glueball/__init__.py

glueball-css/glueball

88ca97a9789246a86d19d2eb20838e77647f0cff

[ "MIT" ]

null

glueball/__init__.py

glueball-css/glueball

88ca97a9789246a86d19d2eb20838e77647f0cff

[ "MIT" ]

null

__version__ = '0.0.1' # Expose some core classes from .core.breakpoints import Breakpoints from .core.cssmodule import CssModule from .core.stylesheet import StyleSheet from .core.stylerule import StyleRule

23.222222

41

0.808612

28

209

5.892857

0.464286

0.193939

0

0.016393

0.124402

209

8

42

26.125

0.885246

0.114833

0

0.027473

0

1

0

false

0

0.8

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d90e79a136d2efcde83b0ec195b4dc86fd1db5ca

207

py

Python

src/utils/globals.py

MarkKoz/TweetPnD

73874afc84b4a48b006ec85f6402097346f0328f

[ "MIT" ]

3

2019-04-09T07:03:41.000Z

2020-02-13T17:10:20.000Z

src/utils/globals.py

MarkKoz/tweet-pnd

e93910f14a1fe4af8c81d1d76377afde32fa0fc2

[ "MIT" ]

7

2021-06-08T18:52:05.000Z

2022-03-03T21:52:11.000Z

src/utils/globals.py

MarkKoz/tweet-pnd

e93910f14a1fe4af8c81d1d76377afde32fa0fc2

[ "MIT" ]

1

2019-04-09T07:04:28.000Z

from typing import List import logging from exchanges.exchange import Exchange config: dict = {} log: logging.Logger = None exchanges: List[Exchange] = [] db = None # TODO: Forward reference type-hinting.

20.7

49

0.753623

27

207

5.777778

0.666667

0

0.154589

207

9

50

23

0.891429

0.178744

0

0.111111

0

1

0

false

0

0.428571

0

0.428571

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d933572a91848a86a49e6c66c2fdfd96540ce4fa

1,025

py

Python

looking_for_group/gamer_profiles/admin.py

andrlik/looking-for-group

0b1cecb37ef0f6d75692fd188130e2c60d09b7d2

[ "BSD-3-Clause" ]

null

looking_for_group/gamer_profiles/admin.py

andrlik/looking-for-group

0b1cecb37ef0f6d75692fd188130e2c60d09b7d2

[ "BSD-3-Clause" ]

null

looking_for_group/gamer_profiles/admin.py

andrlik/looking-for-group

0b1cecb37ef0f6d75692fd188130e2c60d09b7d2

[ "BSD-3-Clause" ]

null

from django.contrib import admin from . import models # Register your models here. class GamerCommunityAdmin(admin.ModelAdmin): pass class GamerProfileAdmin(admin.ModelAdmin): pass class CommunityMembershipAdmin(admin.ModelAdmin): pass class CommunityApplicationAdmin(admin.ModelAdmin): pass class KickedUserAdmin(admin.ModelAdmin): pass class BannedUserAdmin(admin.ModelAdmin): pass class MutedUserAdmin(admin.ModelAdmin): pass class BlockedUserAdmin(admin.ModelAdmin): pass admin.site.register(models.GamerCommunity, GamerCommunityAdmin) admin.site.register(models.GamerProfile, GamerProfileAdmin) admin.site.register(models.CommunityMembership, CommunityMembershipAdmin) admin.site.register(models.CommunityApplication, CommunityApplicationAdmin) admin.site.register(models.KickedUser, KickedUserAdmin) admin.site.register(models.BannedUser, BannedUserAdmin) admin.site.register(models.MutedUser, MutedUserAdmin) admin.site.register(models.BlockedUser, BlockedUserAdmin)

21.808511

75

0.816585

100

1,025

8.37

0.29

0.143369

0.181601

0.219833

0

0.101463

1,025

46

76

22.282609

0.908795

0.025366

0

0.307692

0

1

0

true

0.307692

0.076923

0

0.384615

0

null

0

1

0

null

0

1

0

4

d95d1cb5f51db48452d4a003e8a53bfe29d6f367

63

py

Python

ggongsul/agreement/__init__.py

blc-cruise/ggongsul-api

0cdfc09ea75688ffc297bc0c0f08897091896f3e

[ "MIT" ]

2

2021-05-22T07:33:34.000Z

2021-09-18T04:22:25.000Z

ggongsul/agreement/__init__.py

blc-cruise/ggongsul-api

0cdfc09ea75688ffc297bc0c0f08897091896f3e

[ "MIT" ]

null

ggongsul/agreement/__init__.py

blc-cruise/ggongsul-api

0cdfc09ea75688ffc297bc0c0f08897091896f3e

[ "MIT" ]

null

default_app_config = "ggongsul.agreement.apps.AgreementConfig"

31.5

62

0.857143

7

63

7.428571

1

0

0.047619

63

1

63

0.866667

0

0.619048

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

d9704c8c7ba9b6be51294370ee6a5fd1484c1a85

996

py

Python

src/negotiating_agent/venv/lib/python3.8/site-packages/geniusweb/events/CurrentState.py

HahaBill/CollaborativeAI

f771cd2f34774c74c58e49a7e983d6244ea35eff

[ "MIT" ]

1

2022-02-17T19:14:46.000Z

src/negotiating_agent/venv/lib/python3.8/site-packages/geniusweb/events/CurrentState.py

HahaBill/CollaborativeAI

f771cd2f34774c74c58e49a7e983d6244ea35eff

[ "MIT" ]

null

src/negotiating_agent/venv/lib/python3.8/site-packages/geniusweb/events/CurrentState.py

HahaBill/CollaborativeAI

f771cd2f34774c74c58e49a7e983d6244ea35eff

[ "MIT" ]

null

from geniusweb.events.ProtocolEvent import ProtocolEvent class CurrentState( ProtocolEvent ): ''' Reports a NegoState as the latest state of the protocol. The negoState is abstract because the state is not something that can be handled at this place in the dependency hierarchy. The "real" implementations are inside the protocol. <p> When a protocol reports this event, it indicates that this state can be logged to the loggers for output to the users (publication on the webpages and reporting to parent protocols eg a tournamentrunner). Usually protocols are updating this only after a session completes. There may be quite some overhead triggered by emission of these events, such as rewriting files and notifying end users behind websockets. Protocols MUST report this at least once to report the final isFinished() state. <p> The logged state may be used to re-start a protocol if it crashes later in an unfinished state. ''' # all should implement NegoState getState();

45.272727

78

0.791165

152

996

5.184211

0.625

0.027919

0

0.172691

996

21

79

47.428571

0.956311

0.876506

0

1

0

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

d982b29c6380ac7843d0fa427ba62ad9e38e47ad

1,127

py

Python

backend/youngun/youngun/apps/content/migrations/0004_auto_20200703_1702.py

aakashbajaj/Youngun-Campaign-Tracking

a3b4f283b22cefb92c72f7638ee2a9da72622de0

[ "Apache-2.0" ]

null

backend/youngun/youngun/apps/content/migrations/0004_auto_20200703_1702.py

aakashbajaj/Youngun-Campaign-Tracking

a3b4f283b22cefb92c72f7638ee2a9da72622de0

[ "Apache-2.0" ]

1

2021-09-22T19:27:06.000Z

backend/youngun/youngun/apps/content/migrations/0004_auto_20200703_1702.py

aakashbajaj/Youngun-Campaign-Tracking

a3b4f283b22cefb92c72f7638ee2a9da72622de0

[ "Apache-2.0" ]

null

# Generated by Django 3.0.7 on 2020-07-03 17:02 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('content', '0003_facebookstory_instagramstory_twitterstory'), ] operations = [ migrations.AlterModelOptions( name='facebookpost', options={'verbose_name_plural': 'Facebook Posts'}, ), migrations.AlterModelOptions( name='facebookstory', options={'verbose_name_plural': 'Facebook Stories'}, ), migrations.AlterModelOptions( name='instagrampost', options={'verbose_name_plural': 'Instagram Posts'}, ), migrations.AlterModelOptions( name='instagramstory', options={'verbose_name_plural': 'Instagram Stories'}, ), migrations.AlterModelOptions( name='twitterpost', options={'verbose_name_plural': 'Twitter Posts'}, ), migrations.AlterModelOptions( name='twitterstory', options={'verbose_name_plural': 'Twitter Stories'}, ), ]

29.657895

70

0.595386

88

1,127

7.454545

0.431818

0.246951

0.283537

0.219512

0.292683

0

0.02381

0.291925

1,127

37

71

30.459459

0.798246

0.039929

0

0.387097

1

0

0.307407

0.042593

0

1

0

false

0

0.032258

0

0.129032

0

null

1

0

1

0

null

0

4

7964891d72b78719709b0d98b2a9a7b27e495d06

158

py

Python

tests/web_platform/CSS2/normal_flow/test_max_width_percentage.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/CSS2/normal_flow/test_max_width_percentage.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/CSS2/normal_flow/test_max_width_percentage.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

1

2020-01-16T01:56:41.000Z

from tests.utils import W3CTestCase class TestMaxWidthPercentage(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'max-width-percentage-'))

26.333333

76

0.797468

17

158

7.117647

0.823529

0

0.020833

0.088608

158

5

77

31.6

0.819444

0

0.133758

0

1

0

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

796668379bc38b4a8c8e986f444b104c77b336d4

121

wsgi

Python

flask.wsgi

hariharshankar/pygeo

f87b5f117dd35e8c6491d1c627cc795e416df6f9

[ "MIT" ]

1

2017-09-03T14:39:26.000Z

flask.wsgi

hariharshankar/pygeo

f87b5f117dd35e8c6491d1c627cc795e416df6f9

[ "MIT" ]

null

flask.wsgi

hariharshankar/pygeo

f87b5f117dd35e8c6491d1c627cc795e416df6f9

[ "MIT" ]

null

import sys import os sys.path.insert(0, os.path.dirname(os.path.realpath(__file__))) from geo import app as application

20.166667

63

0.785124

21

121

4.333333

0.666667

0.131868

0

0.009259

0.107438

121

5

64

24.2

0.833333

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

79a3edd509703ffffb8f3ce4d2634d81014a1874

523

py

Python

pi_control/temperature/serializers.py

mhozza/pi-control

0dce821b4702519fedc3950270ee0091ed484ef6

[ "MIT" ]

null

pi_control/temperature/serializers.py

mhozza/pi-control

0dce821b4702519fedc3950270ee0091ed484ef6

[ "MIT" ]

10

2020-03-14T21:04:36.000Z

2022-03-03T21:51:07.000Z

pi_control/temperature/serializers.py

mhozza/pi-control

0dce821b4702519fedc3950270ee0091ed484ef6

[ "MIT" ]

null

from rest_framework import serializers from .models import Entry, MeasurementDevice class EntrySerializer(serializers.ModelSerializer): class Meta: model = Entry fields = ("time", "temperature", "humidity", "device") class MeasurementDeviceSerializer(serializers.ModelSerializer): class Meta: model = MeasurementDevice fields = ("id", "name") class RoomSerializer(serializers.ModelSerializer): class Meta: model = MeasurementDevice fields = ("id", "name")

23.772727

63

0.692161

45

523

8.022222

0.488889

0.216066

0.257618

0.290859

0.493075

0.382271

0

0.212237

523

21

64

24.904762

0.876214

0

0.5

0

0.078394

0

1

0

false

0

0.142857

0

0.571429

0

null

1

0

null

0

1

0

4

79d24eafa6745976ba25f8d0b98376a15002324e

7,864

py

Python

nyc_data/ppe/migrations/0010_auto_20200412_1539.py

nyccto-rapicastillo/nyc-ppe

e6d5ba45cf2815f7659298103d3b5bc7210ed8cf

[ "MIT" ]

3

2020-04-16T03:24:17.000Z

2020-09-11T22:12:31.000Z

nyc_data/ppe/migrations/0010_auto_20200412_1539.py

nyccto-rapicastillo/nyc-ppe

e6d5ba45cf2815f7659298103d3b5bc7210ed8cf

[ "MIT" ]

47

2020-04-10T20:02:09.000Z

2021-09-08T02:05:09.000Z

nyc_data/ppe/migrations/0010_auto_20200412_1539.py

nyccto-rapicastillo/nyc-ppe

e6d5ba45cf2815f7659298103d3b5bc7210ed8cf

[ "MIT" ]

1

2020-04-22T19:10:24.000Z

# Generated by Django 3.0.5 on 2020-04-12 15:39 from django.db import migrations, models import django.db.models.deletion import uuid class Migration(migrations.Migration): dependencies = [ ("ppe", "0009_auto_20200412_1517"), ] operations = [ migrations.CreateModel( name="Facility", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, ), ), ("created_at", models.DateTimeField(auto_now_add=True, db_index=True)), ("updated_at", models.DateTimeField(auto_now=True)), ("name", models.TextField()), ( "tpe", models.TextField( choices=[ ("government", "government"), ("hospital", "hospital"), ("ems", "ems"), ("nursing_home", "nursing_home"), ("clinic", "clinic"), ], default=None, ), ), ], options={"abstract": False,}, ), migrations.AlterField( model_name="dataimport", name="status", field=models.TextField( choices=[ ("active", "active"), ("replaced", "replaced"), ("candidate", "candidate"), ("cancelled", "cancelled"), ], default=None, ), ), migrations.AlterField( model_name="scheduleddelivery", name="purchase", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="deliveries", to="ppe.Purchase", ), ), migrations.CreateModel( name="InboundReceipt", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, ), ), ("created_at", models.DateTimeField(auto_now_add=True, db_index=True)), ("updated_at", models.DateTimeField(auto_now=True)), ("date_received", models.DateTimeField()), ( "supplier", models.TextField( choices=[ ("dcas_donations", "dcas_donations"), ("dcas_procurement", "dcas_procurement"), ("other", "other"), ], default=None, ), ), ("description", models.TextField()), ("quantity", models.IntegerField()), ("inbound_id", models.TextField()), ("item_id", models.TextField()), ( "item", models.TextField( choices=[ ("faceshield", "faceshield"), ("gown", "gown"), ("gown_material", "gown_material"), ("coveralls", "coveralls"), ("n95_mask_non_surgical", "n95_mask_non_surgical"), ("n95_mask_surgical", "n95_mask_surgical"), ("kn95_mask", "kn95_mask"), ("surgical_mask", "surgical_mask"), ("mask_other", "mask_other"), ("goggles", "goggles"), ("generic_eyeware", "generic_eyeware"), ("gloves", "gloves"), ("ventilators_full_service", "ventilators_full_service"), ( "ventilators_non_full_service", "ventilators_non_full_service", ), ("bipap_machines", "bipap_machines"), ("ppe_other", "ppe_other"), ("unknown", "unknown"), ("body_bags", "body_bags"), ], default=None, ), ), ( "source", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="ppe.DataImport" ), ), ], options={"abstract": False,}, ), migrations.CreateModel( name="FacilityDelivery", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, ), ), ("created_at", models.DateTimeField(auto_now_add=True, db_index=True)), ("updated_at", models.DateTimeField(auto_now=True)), ("date", models.DateField()), ( "item", models.TextField( choices=[ ("faceshield", "faceshield"), ("gown", "gown"), ("gown_material", "gown_material"), ("coveralls", "coveralls"), ("n95_mask_non_surgical", "n95_mask_non_surgical"), ("n95_mask_surgical", "n95_mask_surgical"), ("kn95_mask", "kn95_mask"), ("surgical_mask", "surgical_mask"), ("mask_other", "mask_other"), ("goggles", "goggles"), ("generic_eyeware", "generic_eyeware"), ("gloves", "gloves"), ("ventilators_full_service", "ventilators_full_service"), ( "ventilators_non_full_service", "ventilators_non_full_service", ), ("bipap_machines", "bipap_machines"), ("ppe_other", "ppe_other"), ("unknown", "unknown"), ("body_bags", "body_bags"), ], default=None, ), ), ( "facility", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="ppe.Facility" ), ), ( "source", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="ppe.DataImport" ), ), ], options={"abstract": False,}, ), migrations.AddField( model_name="facility", name="source", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="ppe.DataImport" ), ), ]

38.738916

88

0.370677

470

7,864

5.959574

0.246809

0.048197

0.029989

0.047126

0.650839

0

0.015336

0.519074

7,864

202

89

38.930693

0.725278

0.005722

0

0.704082

1

0

0.190994

0.040297

0

1

0

false

0

0.035714

0

0.05102

0

null

0

1

0

1

0

1

0

null

0

4

79d958b600e90d13ae0328631fda94ccbb461559

17,830

py

Python

tgen_jetstream_resources/phoenix_build_exome_capture_resources/formats/intervals/__init__.py

tgen/jetstream_containers

80c71e51cdc04df8322487328fef34f0641f5b8f

[ "MIT" ]

2

2020-03-11T20:24:08.000Z

2020-09-24T17:59:05.000Z

tgen_jetstream_resources/phoenix_build_exome_capture_resources/formats/intervals/__init__.py

tgen/jetstream_containers

80c71e51cdc04df8322487328fef34f0641f5b8f

[ "MIT" ]

32

2020-03-07T21:19:37.000Z

2021-12-27T20:32:59.000Z

tgen_jetstream_resources/phoenix_build_exome_capture_resources/formats/intervals/__init__.py

tgen/jetstream_containers

80c71e51cdc04df8322487328fef34f0641f5b8f

[ "MIT" ]

1

2020-04-27T17:44:14.000Z

"""Intervals are a generalization of several file formats: GFF ==== All GFF formats (GFF2, GFF3 and GTF) are tabular files with 9 fields per line, separated by tabs. They all share the same structure for the first 7 fields, while differing in the definition of the eighth field and in the content and format of the ninth field. The general structure is as follows: GFFv3 ------ Amazing description of the format: https://github.com/The-Sequence-Ontology/Specifications/blob/master/gff3.md "Although there are many richer ways of representing genomic features via XML and in relational database schemas, the stubborn persistence of a variety of ad-hoc tab-delimited flat file formats declares the bioinformatics community's need for a simple format that can be modified with a text editor and processed with shell tools like grep. " http://gmod.org/wiki/GFF3 ~~~~~~~~~~~~~~~~~~~~~~~~~~ GFF3 Format GFF3 format is a flat tab-delimited file. The first line of the file is a comment that identifies the file format and version. This is followed by a series of data lines, each one of which corresponds to an annotation.Here is a miniature GFF3 file: :: ##gff-version 3 ctg123 . exon 1300 1500 . + . ID=exon00001 ctg123 . exon 1050 1500 . + . ID=exon00002 ctg123 . exon 3000 3902 . + . ID=exon00003 ctg123 . exon 5000 5500 . + . ID=exon00004 ctg123 . exon 7000 9000 . + . ID=exon00005 The ``##gff-version 3`` line is required and must be the first line of the file. It introduces the annotation section of the file. The 9 columns of the annotation section are as follows: Column 1: "seqid" The ID of the landmark used to establish the coordinate system for the current feature. IDs may contain any characters, but must escape any characters not in the set [a-zA-Z0-9.:^*$@!+_?-|]. In particular, IDs may not contain unescaped whitespace and must not begin with an unescaped ">". To escape a character in this, or any of the other GFF3 fields, replace it with the percent sign followed by its hexadecimal representation. For example, ">" becomes "%E3". See URL Encoding (or: 'What are those "%20" codes in URLs?') for details. Column 2: "source" The source is a free text qualifier intended to describe the algorithm or operating procedure that generated this feature. Typically this is the name of a piece of software, such as "Genescan" or a database name, such as "Genbank." In effect, the source is used to extend the feature ontology by adding a qualifier to the type creating a new composite type that is a subclass of the type in the type column. It is not necessary to specify a source. If there is no source, put a "." (a period) in this field. Column 3: "type" The type of the feature (previously called the "method"). This is constrained to be either: (a) a term from the "lite" sequence ontology, SOFA; or (b) a SOFA accession number. The latter alternative is distinguished using the syntax SO:000000. This field is required. Columns 4 & 5: "start" and "end" The start and end of the feature, in 1-based integer coordinates, relative to the landmark given in column 1. Start is always less than or equal to end. For zero-length features, such as insertion sites, start equals end and the implied site is to the right of the indicated base in the direction of the landmark. These fields are required. Column 6: "score" The score of the feature, a floating point number. As in earlier versions of the format, the semantics of the score are ill-defined. It is strongly recommended that E-values be used for sequence similarity features, and that P-values be used for ab initio gene prediction features. If there is no score, put a "." (a period) in this field. Column 7: "strand" The strand of the feature. + for positive strand (relative to the landmark), - for minus strand, and . for features that are not stranded. In addition, ? can be used for features whose strandedness is relevant, but unknown. Column 8: "phase" For features of type "CDS", the phase indicates where the feature begins with reference to the reading frame. The phase is one of the integers 0, 1, or 2, indicating the number of bases that should be removed from the beginning of this feature to reach the first base of the next codon. In other words, a phase of "0" indicates that the next codon begins at the first base of the region described by the current line, a phase of "1" indicates that the next codon begins at the second base of this region, and a phase of "2" indicates that the codon begins at the third base of this region. This is NOT to be confused with the frame, which is simply start modulo 3. If there is no phase, put a "." (a period) in this field. For forward strand features, phase is counted from the start field. For reverse strand features, phase is counted from the end field. The phase is required for all CDS features. Column 9: "attributes" A list of feature attributes in the format tag=value. Multiple tag=value pairs are separated by semicolons. URL escaping rules are used for tags or values containing the following characters: ",=;". Spaces are allowed in this field, but tabs must be replaced with the %09 URL escape. This field is not required. Column 9 Tags Column 9 tags have predefined meanings: ID Indicates the unique identifier of the feature. IDs must be unique within the scope of the GFF file. Name Display name for the feature. This is the name to be displayed to the user. Unlike IDs, there is no requirement that the Name be unique within the file. Alias A secondary name for the feature. It is suggested that this tag be used whenever a secondary identifier for the feature is needed, such as locus names and accession numbers. Unlike ID, there is no requirement that Alias be unique within the file. Parent Indicates the parent of the feature. A parent ID can be used to group exons into transcripts, transcripts into genes, and so forth. A feature may have multiple parents. Parent can *only* be used to indicate a partof relationship. Target Indicates the target of a nucleotide-to-nucleotide or protein-to-nucleotide alignment. The format of the value is "target_id start end [strand]", where strand is optional and may be "+" or "-". If the target_id contains spaces, they must be escaped as hex escape %20. Gap The alignment of the feature to the target if the two are not collinear (e.g. contain gaps). The alignment format is taken from the CIGAR format described in the Exonerate documentation. http://cvsweb.sanger.ac.uk/cgi-bin/cvsweb.cgi/exonerate?cvsroot=Ensembl). See the GFF3 specification for more information. Derives_from Used to disambiguate the relationship between one feature and another when the relationship is a temporal one rather than a purely structural "part of" one. This is needed for polycistronic genes. See the GFF3 specification for more information. Note A free text note. Dbxref A database cross reference. See the GFF3 specification for more information. Ontology_term A cross reference to an ontology term. See the GFF3 specification for more information. Multiple attributes of the same type are indicated by separating the values with the comma "," character, as in: Parent=AF2312,AB2812,abc-3 Note that attribute names are case sensitive. "Parent" is not the same as "parent". All attributes that begin with an uppercase letter are reserved for later use. Attributes that begin with a lowercase letter can be used freely by applications. You can stash any semi-structured data into the database by using one or more unreserved (lowercase) tags. GTF ---- The Gene transfer format (GTF) is a refinement of GFF Version 2 and is sometimes referred to as GFF2.5.[1] http://genome.ucsc.edu/FAQ/FAQformat.html#format4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GTF (Gene Transfer Format, GTF2.2) is an extension to, and backward compatible with, GFF2. The first eight GTF fields are the same as GFF. The feature field is the same as GFF, with the exception that it also includes the following optional values: 5UTR, 3UTR, inter, inter_CNS, and intron_CNS. The group field has been expanded into a list of attributes. Each attribute consists of a type/value pair. Attributes must end in a semi-colon, and be separated from any following attribute by exactly one space. The attribute list must begin with the two mandatory attributes: gene_id value - A globally unique identifier for the genomic source of the sequence. transcript_id value - A globally unique identifier for the predicted transcript. Example: Here is an example of the ninth field in a GTF data line: :: gene_id "Em:U62317.C22.6.mRNA"; transcript_id "Em:U62317.C22.6.mRNA"; exon_number 1 The Genome Browser groups together GTF lines that have the same transcript_id value. It only looks at features of type exon and CDS. For more information regarding the GTF2.2 UCSC supported format, see http://mblab.wustl.edu/GTF22.html. If you would like to obtain browser data in GTF format, please refer to Genes in gtf or gff format on the wiki. GFFv2 ----- There are several differing descriptions of the GFFv2 spec. Most seem to reference GMOD (http://gmod.org/wiki/GFF2) as the authoritative source: http://gmod.org/wiki/GFF2 ~~~~~~~~~~~~~~~~~~~~~~~~~~ The GFF2 File Format The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns and looks like this: :: Chr1 curated CDS 365647 365963 . + 1 Transcript "R119.7" The 9 columns are as follows: reference sequence This is the ID of the sequence that is used to establish the coordinate system of the annotation. In the example above, the reference sequence is "Chr1". source The source of the annotation. This field describes how the annotation was derived. In the example above, the source is "curated" to indicate that the feature is the result of human curation. The names and versions of software programs are often used for the source field, as in "tRNAScan-SE/1.2". method The annotation method, also known as type. This field describes the type of the annotation, such as "CDS". Together the method and source describe the annotation type. start position The start of the annotation relative to the reference sequence. stop position The stop of the annotation relative to the reference sequence. Start is always less than or equal to stop. score For annotations that are associated with a numeric score (for example, a sequence similarity), this field describes the score. The score units are completely unspecified, but for sequence similarities, it is typically percent identity. Annotations that do not have a score can use "." strand For those annotations which are strand-specific, this field is the strand on which the annotation resides. It is "+" for the forward strand, "-" for the reverse strand, or "." for annotations that are not stranded. phase For annotations that are linked to proteins, this field describes the phase of the annotation on the codons. It is a number from 0 to 2, or "." for features that have no phase. group GFF provides a simple way of generating annotation hierarchies ("is composed of" relationships) by providing a group field. The group field contains the class and ID of an annotation which is the logical parent of the current one. In the example given above, the group is the Transcript named "R119.7". The group field is also used to store information about the target of sequence similarity hits, and miscellaneous notes. See the next section for a description of how to describe similarity targets. The sequences used to establish the coordinate system for annotations can correspond to sequenced clones, clone fragments, contigs or super-contigs. In addition to a group ID, the GFF format allows annotations to have a group class. This makes sure that all groups are unique even if they happen to share the same name. For example, you can have a GenBank accession named AP001234 and a clone named AP001234 and distinguish between them by giving the first one a class of Accession and the second a class of Clone. You should use double-quotes around the group name or class if it contains white space. https://uswest.ensembl.org/info/website/upload/gff.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The GFF (General Feature Format) format consists of one line per feature, each containing 9 columns of data, plus optional track definition lines. The following documentation is based on the Version 2 specifications. The GTF (General Transfer Format) is identical to GFF version 2. Fields Track lines More information Fields Fields must be tab-separated. Also, all but the final field in each feature line must contain a value; "empty" columns should be denoted with a '.' seqname - name of the chromosome or scaffold; chromosome names can be given with or without the 'chr' prefix. Important note: the seqname must be one used within Ensembl, i.e. a standard chromosome name or an Ensembl identifier such as a scaffold ID, without any additional content such as species or assembly. See the example GFF output below. source - name of the program that generated this feature, or the data source (database or project name) feature - feature type name, e.g. Gene, Variation, Similarity start - Start position of the feature, with sequence numbering starting at 1. end - End position of the feature, with sequence numbering starting at 1. score - A floating point value. strand - defined as + (forward) or - (reverse). frame - One of '0', '1' or '2'. '0' indicates that the first base of the feature is the first base of a codon, '1' that the second base is the first base of a codon, and so on.. attribute - A semicolon-separated list of tag-value pairs, providing additional information about each feature. https://genome.ucsc.edu/FAQ/FAQformat.html#format3 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GFF (General Feature Format) lines are based on the Sanger GFF2 specification. GFF lines have nine required fields that must be tab-separated. If the fields are separated by spaces instead of tabs, the track will not display correctly. For more information on GFF format, refer to Sanger's GFF page. Note that there is also a GFF3 specification that is not currently supported by the Browser. All GFF tracks must be formatted according to Sanger's GFF2 specification. If you would like to obtain browser data in GFF (GTF) format, please refer to Genes in gtf or gff format on the Wiki. Here is a brief description of the GFF fields: seqname - The name of the sequence. Must be a chromosome or scaffold. source - The program that generated this feature. feature - The name of this type of feature. Some examples of standard feature types are "CDS" "start_codon" "stop_codon" and "exon"li> start - The starting position of the feature in the sequence. The first base is numbered 1. end - The ending position of the feature (inclusive). score - A score between 0 and 1000. If the track line useScore attribute is set to 1 for this annotation data set, the score value will determine the level of gray in which this feature is displayed (higher numbers = darker gray). If there is no score value, enter ":.":. strand - Valid entries include "+", "-", or "." (for don't know/don't care). frame - If the feature is a coding exon, frame should be a number between 0-2 that represents the reading frame of the first base. If the feature is not a coding exon, the value should be ".". group - All lines with the same group are linked together into a single item. """ import os import gzip from . import bed, gffv2, gatk_style_intervals from .generic import IntervalFile # TODO test GTF/GFF -> BED dumps # TODO Do we want to allow for bedtools style functions on generic intervals? # or should we just convert to bedfile then do it with bedtools? # TODO GFFv3 IntervalFileFormat # TODO think about how a coerce(obj, format) function might work when we have # data that does not meet all the requirements for a format, but want it anyway def is_gzip(path, magic_number=b'\x1f\x8b'): """Returns True if the path is gzipped.""" if os.path.exists(path) and not os.path.isfile(path): raise OSError("This should only be used with regular files because" "otherwise it will lose some data.") with open(path, 'rb') as fp: if fp.read(2) == magic_number: return True else: return False def read_lines_allow_gzip(path): """Reads line-separated text files, handles gzipped files and recognizes universal newlines. This can cause bytes to be lost when reading from a pipe. """ if is_gzip(path): with gzip.open(path, 'rb') as fp: data = fp.read().decode('utf-8') else: with open(path, 'r') as fp: data = fp.read() lines = data.splitlines() return lines def _read_format(path, format): lines = [format.read(l) for l in read_lines_allow_gzip(path)] return IntervalFile(path, format, lines) def read_bed(path): return _read_format(path, bed) def read_gffv2(path): return _read_format(path, gffv2) def read_gatk_style_intervals(path): return _read_format(path, gatk_style_intervals) def _to_format(interval_file, format): lines = [] for interval in interval_file: line = format.write(interval) if line is not None: lines.append(line) return '\n'.join(lines) def to_bed(interval_file): return _to_format(interval_file, bed) def to_gffv2(interval_file): return _to_format(interval_file, gffv2) def to_gatk_style_intervals(interval_file): return _to_format(interval_file, gatk_style_intervals)

37.69556

87

0.754066

2,927

17,830

4.571233

0.240178

0.017937

0.010762

0.005232

0.141704

0.110613

0.088042

0.047235

0.020777

0.015546

0

0.017189

0.181043

17,830

472

88

37.775424

0.899123

0.909422

0

0.045455

0

0.065698

0

0.002119

0

1

0.227273

false

0

0.090909

0.136364

0.568182

0

null

0

1

0

null

0

1

0

1

0

4

79de87a3330b53cc1c1b948abce13c28bd7e1d5d

765

py

Python

tests/test_binary.py

nyimbi/faker_extras

37967d9101af217f7671fc2ad071b49258711c29

[ "MIT" ]

null

tests/test_binary.py

nyimbi/faker_extras

37967d9101af217f7671fc2ad071b49258711c29

[ "MIT" ]

null

tests/test_binary.py

nyimbi/faker_extras

37967d9101af217f7671fc2ad071b49258711c29

[ "MIT" ]

1

2019-05-23T16:02:45.000Z

def test_binary_byte_str_code(fake): assert isinstance(fake.binary_byte_str(code=True), str) def test_decimal_byte_str_code(fake): assert isinstance(fake.decimal_byte_str(code=True), str) def test_binary_byte_str(fake): assert isinstance(fake.binary_byte_str(), str) def test_decimal_byte_str(fake): assert isinstance(fake.decimal_byte_str(), str) def test_nibble(fake): assert len(fake.nibble()) == 4 assert isinstance(fake.nibble(), str) def test_octet(fake): assert len(fake.octet()) == 8 assert isinstance(fake.octet(), str) def test_byte(fake): assert len(fake.byte()) == 8 assert isinstance(fake.byte(), str) def test_word(fake): assert len(fake.word()) == 16 assert isinstance(fake.word(), str)

21.25

60

0.711111

114

765

4.54386

0.157895

0.121622

0.30888

0.185328

0.530888

0.474903

0.401544

0

0.00774

0.155556

765

35

61

21.857143

0.794118

0

0.6

1

0.4

false

0

0.4

0

null

0

1

0

null

0

1

0

1

0

4

8dad96fdcff0c2d94cfe818564c667aa3740eeb5

46

py

Python

tests/cmods/contracts/ctest.py

Akm0d/pop

77d9f6e6de8e02aa2ee5520d0aa0052fabd53243

[ "Apache-2.0" ]

48

2019-05-21T16:10:49.000Z

2021-12-04T18:02:20.000Z

tests/cmods/contracts/ctest.py

Akm0d/pop

77d9f6e6de8e02aa2ee5520d0aa0052fabd53243

[ "Apache-2.0" ]

43

2019-05-21T22:39:44.000Z

2020-02-07T16:37:29.000Z

tests/cmods/contracts/ctest.py

Akm0d/pop

77d9f6e6de8e02aa2ee5520d0aa0052fabd53243

[ "Apache-2.0" ]

18

2019-05-21T16:10:42.000Z

2019-12-13T16:28:36.000Z

def pre_cping(hub, ctx): hub.CPING = True

15.333333

24

0.652174

8

46

3.625

0.75

0

0.217391

46

2

25

23

0.805556

0

1

0.5

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

8db0168c2bf015bf7074951ad2bc118dd4de1de7

2,717

py

Python

tests/test_models.py

jesserockz/forecast_solar

84789e65fe044c3a0d29c06ea43c929d0ba8117f

[ "MIT" ]

3

2021-06-24T20:48:41.000Z

2021-09-26T09:31:41.000Z

tests/test_models.py

jesserockz/forecast_solar

84789e65fe044c3a0d29c06ea43c929d0ba8117f

[ "MIT" ]

9

2021-07-10T12:06:21.000Z

2022-03-22T12:55:34.000Z

tests/test_models.py

jesserockz/forecast_solar

84789e65fe044c3a0d29c06ea43c929d0ba8117f

[ "MIT" ]

4

2022-02-18T20:29:54.000Z

2022-03-21T17:49:51.000Z

"""Test the models.""" from datetime import datetime from forecast_solar import models from . import PAYLOAD, patch_now, patch_previous_day, patch_near_end_today def test_estimate_previous_day(patch_previous_day): """Test estimate.""" estimate = models.Estimate.from_dict(PAYLOAD) assert estimate.timezone == "Europe/Amsterdam" assert estimate.now().date().isoformat() == "2021-07-20" assert estimate.energy_production_today == 12984 assert estimate.energy_production_tomorrow == 14679 assert estimate.power_production_now == 0 assert estimate.energy_current_hour == 0 assert estimate.power_highest_peak_time_today == datetime.fromisoformat( "2021-07-20T15:00:00+02:00" ) assert estimate.power_highest_peak_time_tomorrow == datetime.fromisoformat( "2021-07-21T14:00:00+02:00" ) assert estimate.sum_energy_production(1) == 0 assert estimate.sum_energy_production(6) == 0 assert estimate.sum_energy_production(12) == 3631 assert estimate.sum_energy_production(24) == 14679 def test_estimate_now(patch_now): """Test estimate.""" estimate = models.Estimate.from_dict(PAYLOAD) assert estimate.timezone == "Europe/Amsterdam" assert estimate.now().date().isoformat() == "2021-07-21" assert estimate.energy_production_today == 14679 assert estimate.energy_production_tomorrow == 0 assert estimate.power_production_now == 724 assert estimate.energy_current_hour == 724 assert estimate.power_highest_peak_time_today == datetime.fromisoformat( "2021-07-21T14:00:00+02:00" ) assert estimate.power_highest_peak_time_tomorrow is None assert estimate.sum_energy_production(1) == 1060 assert estimate.sum_energy_production(6) == 9044 assert estimate.sum_energy_production(12) == 13454 assert estimate.sum_energy_production(24) == 13454 def test_estimate_near_end(patch_near_end_today): """Test estimate.""" estimate = models.Estimate.from_dict(PAYLOAD) assert estimate.timezone == "Europe/Amsterdam" assert estimate.now().date().isoformat() == "2021-07-21" assert estimate.energy_production_today == 14679 assert estimate.energy_production_tomorrow == 0 assert estimate.power_production_now == 888 assert estimate.energy_current_hour == 888 assert estimate.power_highest_peak_time_today == datetime.fromisoformat( "2021-07-21T14:00:00+02:00" ) assert estimate.power_highest_peak_time_tomorrow is None assert estimate.sum_energy_production(1) == 548 assert estimate.sum_energy_production(6) == 846 assert estimate.sum_energy_production(12) == 846 assert estimate.sum_energy_production(24) == 846

33.9625

79

0.741627

348

2,717

5.514368

0.175287

0.262637

0.106305

0.143825

0.845232

0.742053

0.564878

0

0.083479

0.157895

2,717

79

80

34.392405

0.755245

0.022451

0

0.377358

0

0.067552

0.037951

0

0.679245

1

0.056604

false

0

0.056604

0

0.113208

0

null

1

0

1

0

null

0

1

0

4

5c009c0d940a5fe1b6bf3033658a224f176da0a5

104

py

Python

CertifiableBayesianInference/BayesKeras/__init__.py

Hongchenglong/colab

9cc5c15abde536493cc3f12008e791caa1d00070

[ "Apache-2.0" ]

null

CertifiableBayesianInference/BayesKeras/__init__.py

Hongchenglong/colab

9cc5c15abde536493cc3f12008e791caa1d00070

[ "Apache-2.0" ]

null

CertifiableBayesianInference/BayesKeras/__init__.py

Hongchenglong/colab

9cc5c15abde536493cc3f12008e791caa1d00070

[ "Apache-2.0" ]

null

# Author: Mathew Wicker #import optimizers #import analyzers from .posteriormodel import PosteriorModel

20.8

42

0.836538

11

104

7.909091

0.727273

0

0.115385

104

4

43

26

0.945652

0.519231

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5c12fba0d4bec913ce49238d967173516b58572d

4,589

py

Python

annotation/state/States.py

jbudis/dante

90177c33825d5f9ce3fba5463092fbcf20b72fe2

[ "Apache-2.0" ]

4

2018-09-28T14:50:47.000Z

2021-08-09T12:46:12.000Z

annotation/state/States.py

jbudis/dante

90177c33825d5f9ce3fba5463092fbcf20b72fe2

[ "Apache-2.0" ]

6

2019-01-02T13:08:31.000Z

2021-03-25T21:45:40.000Z

annotation/state/States.py

jbudis/dante

90177c33825d5f9ce3fba5463092fbcf20b72fe2

[ "Apache-2.0" ]

1

2017-12-12T10:38:26.000Z

CODE_GAP = '-' CODE_BACKGROUND = '-' class State: """ Node in the HMM architecture, with emission probability """ def __init__(self, emission, module_id, state_id): """ :param emission: Multinomial distribution of nucleotide generation, one float value for each nucleotide :param module_id: Id of the module which contains the state :param state_id: Id of the state in the ordered state sequence """ self.emission = emission self.module_id = module_id self.state_id = state_id def is_background(self): """ Specify, if state is outside primers and motifs and emits random nucleotides without preference :return: True, if state is background type """ return False def is_insert(self): """ Specify, if state is inside primers or motifs and emits random nucleotides without preference to simulate insertions between key states :return: True, if state is insert type """ return False def is_motif(self): """ Specify, if state is in motif sequence with preferred nucleotide in emission probabilities :return: True, if state is motif type """ return False def is_sequence(self): """ Specify, if state is in primer sequence with preferred nucleotide in emission probabilities :return: True, if state is sequence type """ return False def is_key(self): """ Specify, if state has specified nucleotide that is preferred in emission probabilities :return: True, if state is key type """ return False def is_last_in_module(self): """ Is this State last in the module? :return: True, if it is last - only for MotifStates relevant """ return True def is_first_in_module(self): """ Is this State last in the module? :return: True, if it is last - only for MotifStates relevant """ return True class KeyState(State): """ State with specified nucleotide that is preferred in emission probabilities """ def __init__(self, nucleotide, emission, module_id, state_id, first, last): State.__init__(self, emission, module_id, state_id) self.nucleotide = nucleotide self.first = first self.last = last def __str__(self): return self.nucleotide.lower() def is_sequence(self): return True def is_key(self): return True def is_first_in_module(self): """ Is this State last in the module? :return: True, if it is last - only for MotifStates relevant """ return self.first def is_last_in_module(self): """ Is this State last in the module? :return: True, if it is last - only for MotifStates relevant """ return self.last class MotifState(KeyState): """ State in motif sequence with preferred nucleotide in emission probabilities """ def __init__(self, nucleotide, emission, module_id, state_id, first, last): KeyState.__init__(self, nucleotide, emission, module_id, state_id, first, last) self.module_id = module_id def __str__(self): return self.nucleotide.upper() def is_motif(self): return True class SequenceState(KeyState): """ State in primer sequence with preferred nucleotide in emission probabilities """ def __init__(self, nucleotide, emission, module_id, state_id, first, last): KeyState.__init__(self, nucleotide, emission, module_id, state_id, True, True) self.module_id = module_id def __str__(self): return self.nucleotide.lower() def is_sequence(self): return True class BackgroundState(State): """ State outside primers and motifs, that emits random nucleotides without preference """ def __init__(self, emission, state_id): State.__init__(self, emission, CODE_BACKGROUND, state_id) def __str__(self): return CODE_GAP def is_background(self): return True class InsertState(State): """ State inside primers or motifs, that emits random nucleotides without preference to simulate insertions between key states """ def __init__(self, emission, module_id, state_id): State.__init__(self, emission, module_id, state_id) def __str__(self): return CODE_GAP def is_insert(self): return True

27.479042

111

0.639355

564

4,589

4.985816

0.141844

0.060455

0.032006

0.067212

0.725462

0.653627

0.629445

0.588193

0.501778

0.49111

0

0.286555

4,589

166

112

27.644578

0.858888

0.391371

0

0.701493

0

0.000843

0

1

0.38806

false

0

0.164179

0.776119

0

null

0

1

0

null

0

1

0

1

0

4

5c2b20f6a27fc7544fd77b0588496bf7dc87ce42

1,680

py

Python

openmdao.units/openmdao/units/test/unit_compare.py

mjfwest/OpenMDAO-Framework

a5521f47ad7686c25b203de74e1c7dff5fd7a52b

[ "Apache-2.0" ]

69

2015-01-02T19:10:08.000Z

2021-11-14T04:42:28.000Z

openmdao.units/openmdao/units/test/unit_compare.py

jcchin/OpenMDAO-Framework

038e89b06da1c74f00918f4c6fbd8bd365e25657

[ "Apache-2.0" ]

3

2015-01-15T23:08:18.000Z

2015-03-11T16:57:35.000Z

openmdao.units/openmdao/units/test/unit_compare.py

jcchin/OpenMDAO-Framework

038e89b06da1c74f00918f4c6fbd8bd365e25657

[ "Apache-2.0" ]

31

2015-09-16T00:37:35.000Z

2022-01-10T06:27:55.000Z

#Comparison between NASA units and Sicentific PhysicalQuantities in terms of speed import Scientific.Physics.PhysicalQuantities as case1 import units as case2 import time import cProfile n = 20000 #x1 = case1.PhysicalQuantity('5cm') #x2 = case2.PhysicalQuantity('5cm') t1 = time.time() for jj in xrange(n): pq = case1.PhysicalQuantity(5, 'mi/h') pq.convert_to_unit('m/s') pq2 = pq**2 pq2 = pq**2 pq2 = pq*pq pq2 = pq/pq pq2 = pq + pq pq2 = pq - pq pq2 = pq**2 pq2.sqrt() pq2 = case1.PhysicalQuantity(4,'rad') pq2.sin() pq2.cos() print "Scientific -> Elapsed time: ", time.time()-t1 print "" t2 = time.time() for jj in xrange(n): pq = case2.PhysicalQuantity(5, 'mi/h') pq.convert_to_unit('m/s') pq2 = pq**2 pq2 = pq*pq pq2 = pq/pq pq2 = pq + pq pq2 = pq - pq pq2 = pq**2 pq2.sqrt() pq2 = case2.PhysicalQuantity(4,'rad') pq2.sin() pq2.cos() print "Justin -> Elapsed time: ", time.time()-t2 stmt = """ for jj in xrange(n): pq = case1.PhysicalQuantity(5, 'mi/h') pq.convert_to_unit('m/s') pq2 = pq**2 pq2 = pq**2 pq2 = pq*pq pq2 = pq/pq pq2 = pq + pq pq2 = pq - pq pq2 = pq**2 pq2.sqrt() pq2 = case1.PhysicalQuantity(4,'rad') pq2.sin() pq2.cos() """ cProfile.run(stmt) stmt = """ for jj in xrange(n): pq = case2.PhysicalQuantity(5, 'mi/h') pq.convert_to_unit('m/s') pq2 = pq**2 pq2 = pq*pq pq2 = pq/pq pq2 = pq + pq pq2 = pq - pq pq2 = pq**2 pq2.sqrt() pq2 = case2.PhysicalQuantity(4,'rad') pq2.sin() pq2.cos() """ cProfile.run(stmt)

18.26087

82

0.565476

254

1,680

3.708661

0.200787

0.138004

0.118896

0.169851

0.696391

0.687898

0.660297

0

0.070132

0.278571

1,680

92

83

18.26087

0.707096

0.08869

0

0.857143

0

0.432963

0.105952

0

null

0

0.057143

null

0.042857

0

null

0

1

0

1

0

1

0

null

0

1

0

4

5c2bcd4ed223afbdd65630e5455fe53aa4024792

73

py

Python

src/typhoonae/files/__init__.py

sprymak/typhoonae

fe31bcc7b21fc14f8aa97b36d66cd7671974543b

[ "Apache-2.0" ]

1

2018-12-02T10:36:07.000Z

src/typhoonae/files/__init__.py

sprymak/typhoonae

fe31bcc7b21fc14f8aa97b36d66cd7671974543b

[ "Apache-2.0" ]

null

src/typhoonae/files/__init__.py

sprymak/typhoonae

fe31bcc7b21fc14f8aa97b36d66cd7671974543b

[ "Apache-2.0" ]

1

2018-12-02T10:36:08.000Z

"""This package contains TyphoonAE's implementation of the Files API."""

36.5

72

0.767123

10

73

5.6

1

0

0.123288

73

1

73

0.875

0.90411

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

5c48ca86fc6c4920ea6acc9fd4f36d6e1d9e3ce3

125

py

Python

19/00/2/sub/Programmer.py

pylangstudy/201706

f1cc6af6b18e5bd393cda27f5166067c4645d4d3

[ "CC0-1.0" ]

null

19/00/2/sub/Programmer.py

pylangstudy/201706

f1cc6af6b18e5bd393cda27f5166067c4645d4d3

[ "CC0-1.0" ]

70

2017-06-01T11:02:51.000Z

2017-06-30T00:35:32.000Z

19/00/2/sub/Programmer.py

pylangstudy/201706

f1cc6af6b18e5bd393cda27f5166067c4645d4d3

[ "CC0-1.0" ]

null

import super.Types.Human class Programmer(super.Human.Types.Human): def programming(self): print('programming.')

25

42

0.72

15

125

6

0.666667

0.222222

0

0.152

125

4

43

31.25

0.849057

0

0.096

0

1

0.25

false

0

0.25

0

0.75

0.25

1

0

null

1

0

1

0

null

0

1

0

4

a50b9d39ad26255cf3dcc5129e5a39d7001d0c79

329

py

Python

tests/unit/test_categories.py

aeskincbr/kesher-backend

57e0fd7410fc8ae6a6fe438b3633f191bb791072

[ "MIT" ]

1

2021-05-13T10:58:06.000Z

tests/unit/test_categories.py

aeskincbr/kesher-backend

57e0fd7410fc8ae6a6fe438b3633f191bb791072

[ "MIT" ]

null

tests/unit/test_categories.py

aeskincbr/kesher-backend

57e0fd7410fc8ae6a6fe438b3633f191bb791072

[ "MIT" ]

2

2021-04-06T15:28:16.000Z

2021-05-13T23:02:59.000Z

import json from pytest_mock import MockerFixture from service import report_category_handler def test_get_report_categories_list(mocker: MockerFixture): response = report_category_handler.get_report_categories_list(mocker.MagicMock(), mocker.MagicMock()) body = json.loads(response["body"]) assert body is not None

36.555556

105

0.81459

43

329

5.953488

0.55814

0.109375

0.164063

0.179688

0.226563

0

0.115502

329

9

106

36.555556

0.879725

0

0.012121

0

0.142857

1

0.142857

false

0

0.428571

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

1

0

4

eb70c2b08541a0020b3387eeeb52930d4fc83663

549

py

Python

healthcheck/admin.py

rafilkmp3/healthcheck-as-a-service

a35be50ceff8ec7ab7e2c45ec49831d65807b51b

[ "BSD-3-Clause" ]

29

2015-01-23T12:37:17.000Z

2019-05-23T11:00:28.000Z

healthcheck/admin.py

rafilkmp3/healthcheck-as-a-service

a35be50ceff8ec7ab7e2c45ec49831d65807b51b

[ "BSD-3-Clause" ]

8

2015-01-09T20:21:58.000Z

2018-11-01T12:14:37.000Z

healthcheck/admin.py

rafilkmp3/healthcheck-as-a-service

a35be50ceff8ec7ab7e2c45ec49831d65807b51b

[ "BSD-3-Clause" ]

16

2015-01-02T09:39:09.000Z

2022-03-22T17:30:01.000Z

# Copyright 2014 healthcheck-as-a-service authors. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. from flask_admin import BaseView, expose class HealthcheckAdmin(BaseView): @expose('/') def index(self): return self.render('index.html') class UrlAdmin(BaseView): @expose('/') def index(self): return self.render('index.html') class WatcherAdmin(BaseView): @expose('/') def index(self): return self.render('index.html')

22.875

71

0.681239

72

549

5.180556

0.611111

0.150134

0.136729

0.176944

0.436997

0

0.009112

0.200364

549

23

72

23.869565

0.840547

0.304189

0

0.692308

0

0.087302

0

1

0.230769

false

0

0.076923

0.230769

0.769231

0

null

0

1

0

null

0

1

0

1

0

4

eb8930f1b5116d9b2a575dee3e28e6e6e0470390

110

py

Python

payments/models.py

closeair/one-eleven

392e94a75d3d036d47528d51de6c97f591de63c7

[ "MIT" ]

null

payments/models.py

closeair/one-eleven

392e94a75d3d036d47528d51de6c97f591de63c7

[ "MIT" ]

null

payments/models.py

closeair/one-eleven

392e94a75d3d036d47528d51de6c97f591de63c7

[ "MIT" ]

null

from django.db import models class Invoice(models.Model): pass class InvoveItem(models.Mode): pass

12.222222

30

0.727273

15

110

5.333333

0.733333

0

0.190909

110

8

31

13.75

0.898876

0

0.4

0

1

0

true

0.4

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

4

eb908f00ddb43cb12ac67dbd1701fdfe18fc0779

261

py

Python

great_expectations/cli/upgrade_helpers/__init__.py

victorcouste/great_expectations

9ee46d83feb87e13c769e2ae35b899b3f18d73a4

[ "Apache-2.0" ]

6,451

2017-09-11T16:32:53.000Z

2022-03-31T23:27:49.000Z

great_expectations/cli/upgrade_helpers/__init__.py

victorcouste/great_expectations

9ee46d83feb87e13c769e2ae35b899b3f18d73a4

[ "Apache-2.0" ]

3,892

2017-09-08T18:57:50.000Z

2022-03-31T23:15:20.000Z

great_expectations/cli/upgrade_helpers/__init__.py

victorcouste/great_expectations

9ee46d83feb87e13c769e2ae35b899b3f18d73a4

[ "Apache-2.0" ]

1,023

2017-09-08T15:22:05.000Z

2022-03-31T21:17:08.000Z

from great_expectations.cli.upgrade_helpers.upgrade_helper_v11 import UpgradeHelperV11 from great_expectations.cli.upgrade_helpers.upgrade_helper_v13 import UpgradeHelperV13 GE_UPGRADE_HELPER_VERSION_MAP = { 1: UpgradeHelperV11, 2: UpgradeHelperV13, }

32.625

86

0.854406

31

261

6.806452

0.548387

0.184834

0.199052

0.227488

0.483412

0

0.059322

0.095785

261

7

87

37.285714

0.834746

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

4

ebbee70c7cf71e632d05ae50536d8e7d9f18f602

322

py

Python

braintree/exceptions/server_error.py

futureironman/braintree_python

26bb8a857bc29322a8bca2e8e0fe6d99cfe6a1ac

[ "MIT" ]

182

2015-01-09T05:26:46.000Z

2022-03-16T14:10:06.000Z

braintree/exceptions/server_error.py

futureironman/braintree_python

26bb8a857bc29322a8bca2e8e0fe6d99cfe6a1ac

[ "MIT" ]

95

2015-02-24T23:29:56.000Z

2022-03-13T03:27:58.000Z

braintree/exceptions/server_error.py

futureironman/braintree_python

26bb8a857bc29322a8bca2e8e0fe6d99cfe6a1ac

[ "MIT" ]

93

2015-02-19T17:59:06.000Z

2022-03-19T17:01:25.000Z

from braintree.exceptions.braintree_error import BraintreeError class ServerError(BraintreeError): """ Raised when the gateway raises an error. Please contant support at support@getbraintree.com. See https://developers.braintreepayments.com/reference/general/exceptions/python#server-error """ pass

32.2

97

0.776398

36

322

6.916667

0.805556

0

0.142857

322

9

98

35.777778

0.902174

0.583851

0

1

0

true

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

4

ccda0e22aa91606aa6d861b11883265f0b06f398

186

py

Python

apps/books/admin.py

michal-siedlecki/books

31c477014a1438f962c9044859621eea32be209e

[ "MIT" ]

null

apps/books/admin.py

michal-siedlecki/books

31c477014a1438f962c9044859621eea32be209e

[ "MIT" ]

2

2021-06-09T18:04:55.000Z

2021-06-10T20:04:29.000Z

apps/books/admin.py

michal-siedlecki/books

31c477014a1438f962c9044859621eea32be209e

[ "MIT" ]

null

from django.contrib import admin from .models import Book @admin.register(Book) class BookAdmin(admin.ModelAdmin): list_display = [field.name for field in Book._meta.get_fields()]

23.25

68

0.774194

27

186

5.222222

0.740741

0

0.129032

186

7

69

26.571429

0.87037

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

691b9e95be982703361b49a4230b315d8e9bd763

80

py

Python

social/apps/django_app/context_processors.py

raccoongang/python-social-auth

81c0a542d158772bd3486d31834c10af5d5f08b0

[ "BSD-3-Clause" ]

1,987

2015-01-01T16:12:45.000Z

2022-03-29T14:24:25.000Z

social/apps/django_app/context_processors.py

raccoongang/python-social-auth

81c0a542d158772bd3486d31834c10af5d5f08b0

[ "BSD-3-Clause" ]

731

2015-01-01T22:55:25.000Z

2022-03-10T15:07:51.000Z

virtual/lib/python3.6/site-packages/social/apps/django_app/context_processors.py

dennismwaniki67/awards

80ed10541f5f751aee5f8285ab1ad54cfecba95f

[ "MIT" ]

1,082

2015-01-01T16:27:26.000Z

2022-03-22T21:18:33.000Z

from social_django.context_processors import LazyDict, backends, login_redirect

40

79

0.8875

10

80

6.8

1

0

0.075

80

1

80

0.918919

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

692214018531c95ce5488631bfda8916319a02eb

68

py

Python

lakshmi/__init__.py

sarvjeets/lakshmi

8cd6e47f23a61c5b8c967f9fdc756df296f1e0d5

[ "MIT" ]

59

2021-09-07T05:19:30.000Z

2022-02-24T18:29:49.000Z

lakshmi/__init__.py

sarvjeets/lakshmi

8cd6e47f23a61c5b8c967f9fdc756df296f1e0d5

[ "MIT" ]

4

2021-08-01T18:32:51.000Z

2022-02-26T19:14:37.000Z

lakshmi/__init__.py

sarvjeets/lakshmi

8cd6e47f23a61c5b8c967f9fdc756df296f1e0d5

[ "MIT" ]

3

2021-08-01T04:35:07.000Z

2022-03-23T21:48:51.000Z

from .lakshmi import * # noqa: F401,F403 del lakshmi # noqa: 821

17

41

0.676471

10

68

4.6

0.8

0

0.169811

0.220588

68

3

42

22.666667

0.698113

0.367647

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

15c71000e76d57ad8d45942c856c701308a926d8

156

py

Python

books_library/recomendation/apps.py

Ilyes-Hammadi/books-library

cba0df1ae95c3467b8d16caca16383c0af9a98cd

[ "MIT" ]

9

2017-07-20T15:25:51.000Z

2019-08-26T22:48:01.000Z

books_library/recomendation/apps.py

Ilyes-Hammadi/bookslib

cba0df1ae95c3467b8d16caca16383c0af9a98cd

[ "MIT" ]

null

books_library/recomendation/apps.py

Ilyes-Hammadi/bookslib

cba0df1ae95c3467b8d16caca16383c0af9a98cd

[ "MIT" ]

null

from __future__ import unicode_literals from django.apps import AppConfig class RecomendationConfig(AppConfig): name = 'books_library.recomendation'

19.5

40

0.820513

17

156

7.176471

0.823529

0

0.128205

156

7

41

22.285714

0.897059

0

0.173077

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

15d3af7ed96e93908da309aa72ded53ba043cac5

186

py

Python

yt/frontends/adaptahop/api.py

Xarthisius/yt

321643c3abff64a6f132d98d0747f3558f7552a3

[ "BSD-3-Clause-Clear" ]

360

2017-04-24T05:06:04.000Z

2022-03-31T10:47:07.000Z

yt/frontends/adaptahop/api.py

Xarthisius/yt

321643c3abff64a6f132d98d0747f3558f7552a3

[ "BSD-3-Clause-Clear" ]

2,077

2017-04-20T20:36:07.000Z

2022-03-31T16:39:43.000Z

yt/frontends/adaptahop/api.py

stonnes/yt

aad3cfa3b4ebab7838352ab467275a27c26ff363

[ "BSD-3-Clause-Clear" ]

257

2017-04-19T20:52:28.000Z

2022-03-29T12:23:52.000Z

""" API for AdaptaHOP frontend """ from . import tests from .data_structures import AdaptaHOPDataset from .fields import AdaptaHOPFieldInfo from .io import IOHandlerAdaptaHOPBinary

14.307692

45

0.801075

20

186

7.4

0.7

0

0.145161

186

12

46

15.5

0.930818

0.139785

0

1

0

true

0

1

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

4

15d748c72a01f83a2ebd8154cdfff2b4e8b8fe0d

1,493

py

Python

fastapi-master-api/app/api/models/takeuchi_tfm_adapter.py

SionAbes/fullstack-porfolio

6ca74da425a0f6e2d9b65b2aeb8d5452ff1565a9

[ "MIT" ]

1

2021-12-25T09:19:25.000Z

fastapi-master-api/app/api/models/takeuchi_tfm_adapter.py

SionAbes/fullstack-porfolio

6ca74da425a0f6e2d9b65b2aeb8d5452ff1565a9

[ "MIT" ]

null

fastapi-master-api/app/api/models/takeuchi_tfm_adapter.py

SionAbes/fullstack-porfolio

6ca74da425a0f6e2d9b65b2aeb8d5452ff1565a9

[ "MIT" ]

null

# coding: utf-8 from __future__ import annotations import re # noqa: F401 from datetime import date, datetime # noqa: F401 from typing import Any, Dict, List, Optional # noqa: F401 from app.api.models.base_adapter import BaseAdapter from app.api.models.base_takeuchi_tfm_adapter import BaseTakeuchiTfmAdapter from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401 class TakeuchiTfmAdapter(BaseModel): """NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). Do not edit the class manually. TakeuchiTfmAdapter - a model defined in OpenAPI id: The id of this TakeuchiTfmAdapter. user_id: The user_id of this TakeuchiTfmAdapter. created_at: The created_at of this TakeuchiTfmAdapter. updated_at: The updated_at of this TakeuchiTfmAdapter. adapter_name: The adapter_name of this TakeuchiTfmAdapter. cron_expression: The cron_expression of this TakeuchiTfmAdapter. data_url: The data_url of this TakeuchiTfmAdapter. client_secret: The client_secret of this TakeuchiTfmAdapter. client_id: The client_id of this TakeuchiTfmAdapter. token_url: The token_url of this TakeuchiTfmAdapter. """ id: int user_id: int created_at: datetime updated_at: datetime adapter_name: str cron_expression: str data_url: str client_secret: str client_id: str token_url: str TakeuchiTfmAdapter.update_forward_refs()

32.456522

96

0.74347

193

1,493

5.559585

0.367876

0.055918

0.223672

0.072693

0.037279

0

0.010952

0.204956

1,493

45

97

33.177778

0.893008

0.543202

0

1

0

true

0

0.368421

0

0.947368

0

null

0

1

0

null

0

1

0

1

0

1

0

4

15d8b90f94271b19185fc1777cca6c8eaccc7946

585

py

Python

OpenGLCffi/EGL/EXT/KHR/stream.py

cydenix/OpenGLCffi

c78f51ae5e6b655eb2ea98f072771cf69e2197f3

[ "MIT" ]

null

OpenGLCffi/EGL/EXT/KHR/stream.py

cydenix/OpenGLCffi

c78f51ae5e6b655eb2ea98f072771cf69e2197f3

[ "MIT" ]

null

OpenGLCffi/EGL/EXT/KHR/stream.py

cydenix/OpenGLCffi

c78f51ae5e6b655eb2ea98f072771cf69e2197f3

[ "MIT" ]

null

from OpenGLCffi.EGL import params @params(api='egl', prms=['dpy', 'attrib_list']) def eglCreateStreamKHR(dpy, attrib_list): pass @params(api='egl', prms=['dpy', 'stream']) def eglDestroyStreamKHR(dpy, stream): pass @params(api='egl', prms=['dpy', 'stream', 'attribute', 'value']) def eglStreamAttribKHR(dpy, stream, attribute): pass @params(api='egl', prms=['dpy', 'stream', 'attribute', 'value']) def eglQueryStreamKHR(dpy, stream, attribute): pass @params(api='egl', prms=['dpy', 'stream', 'attribute', 'value']) def eglQueryStreamu64KHR(dpy, stream, attribute): pass

21.666667

64

0.692308

71

585

5.676056

0.28169

0.17866

0.26799

0.198511

0.550868

0.503722

0.431762

0

0.003831

0.107692

585

26

65

22.5

0.768199

0

0.5

0

0.183533

0

1

0.3125

false

0.3125

0.0625

0

0.375

0

null

0

1

0

null

0

1

0

1

0

4

15f033aacc244949a27907736e45c38ce5995ddc

322

py

Python

integration_tests/ui/test_ui_sanity.py

yaelmi3/backslash

edf39caf97af2c926da01c340a83648f4874e97e

[ "BSD-3-Clause" ]

17

2015-11-25T13:02:38.000Z

2021-12-14T20:18:36.000Z

integration_tests/ui/test_ui_sanity.py

yaelmi3/backslash

edf39caf97af2c926da01c340a83648f4874e97e

[ "BSD-3-Clause" ]

533

2015-11-24T12:47:13.000Z

2022-02-12T07:59:08.000Z

integration_tests/ui/test_ui_sanity.py

parallelsystems/backslash

577cdd18d5f665a8b493c4b2e2a605b7e0f6e11b

[ "BSD-3-Clause" ]

15

2015-11-22T13:25:54.000Z

2022-02-16T19:23:11.000Z

def test_logout(ui): driver = ui.driver driver.find_element_by_css_selector(".user-dropdown").click() driver.find_element_by_css_selector(".logout-button").click() assert driver.find_element_by_css_selector('.login-form') def test_recorded_sessions_visible(ui_session): assert ui_session is not None

32.2

65

0.773292

47

322

4.914894

0.510638

0.12987

0.220779

0.246753

0.38961

0

0.118012

322

9

66

35.777778

0.81338

0

0.121118

0

0.285714

1

0.285714

false

0

0.285714

0

null

0

1

0

1

0

null

0

1

0

4

c61fc6c9073a46f0b90f3db9b72060925b717e94

481

py

Python

prmaya/scripts/prObjectSetUi/__init__.py

moChen0607/prmaya

1b48f2b72b458d106752fee768846e1c172dd59a

[ "MIT" ]

1

2020-01-14T10:20:32.000Z

prmaya/scripts/prObjectSetUi/__init__.py

moChen0607/prmaya

1b48f2b72b458d106752fee768846e1c172dd59a

[ "MIT" ]

null

prmaya/scripts/prObjectSetUi/__init__.py

moChen0607/prmaya

1b48f2b72b458d106752fee768846e1c172dd59a

[ "MIT" ]

null

""" https://github.com/parzival-roethlein/prmaya # DESCRIPTION Manage objectSet members (add, remove, reorder, export, import) # USAGE import prmaya.scripts.prObjectSetUi.utils prmaya.scripts.prObjectSetUi.utils.ui() # TODO - export / import members - avoid unwanted maya behavior (clean solutions only possible with custom node?) -- add duplicated members to set (custom sync attribute?, scriptjob?) -- delete set when last member gets deleted (lock set current workaround) """

30.0625

80

0.773389

61

481

6.098361

0.770492

0.064516

0.139785

0.166667

0

0.126819

481

16

81

30.0625

0.885714

0.983368

0

null

0

null

0

null

0

0.0625

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

1

0

4

c6304949f134dc4c65cdb201421264a50bed87ad

152

py

Python

scenarios/dispute_show/executable.py

trenton42/txbalanced

9ee1b906d75b4b2fc3d2f5424dc3bbb9886c2b14

[ "MIT" ]

null

scenarios/dispute_show/executable.py

trenton42/txbalanced

9ee1b906d75b4b2fc3d2f5424dc3bbb9886c2b14

[ "MIT" ]

null

scenarios/dispute_show/executable.py

trenton42/txbalanced

9ee1b906d75b4b2fc3d2f5424dc3bbb9886c2b14

[ "MIT" ]

null

import balanced balanced.configure('ak-test-1o9QKwUCrwstHWO5sGxICtIJdQXFTjnrV') dispute = balanced.Dispute.fetch('/disputes/DT7be1ZNkz2SkA9rhBqxynrA')

30.4

70

0.848684

13

152

9.923077

0.769231

0

0.048276

0.046053

152

5

70

30.4

0.841379

0

0.490196

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

null

0

1

0

4

d67581f527fd496e011ca518f7f5c1cc3153b44f

359

py

Python

src/app/datastore/queries/articles/article.py

RdevJ/headquater

2da2290560b030f7ce365e1b71affd637fb9cab4

[ "MIT" ]

null

src/app/datastore/queries/articles/article.py

RdevJ/headquater

2da2290560b030f7ce365e1b71affd637fb9cab4

[ "MIT" ]

null

src/app/datastore/queries/articles/article.py

RdevJ/headquater

2da2290560b030f7ce365e1b71affd637fb9cab4

[ "MIT" ]

null

from sqlalchemy.orm.session import Session from app.models.article import Article class ArticleQuery(object): def __init__(self, article_slug: str): self.article_slug = article_slug def get_article(self, db: Session) -> Article: return db.query(Article).filter( Article.title_slug == self.article_slug ).first()

27.615385

51

0.693593

45

359

5.311111

0.511111

0.1841

0.188285

0

0.211699

359

12

52

29.916667

0.844523

0

1

0.222222

false

0

0.222222

0.111111

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

d69d07cd0b9c2d546d9af7b1455448296c57b961

219

py

Python

prototorch/functions/__init__.py

codacy-badger/prototorch

4158586cb93e195208fc397bda33d67385cf385f

[ "MIT" ]

null

prototorch/functions/__init__.py

codacy-badger/prototorch

4158586cb93e195208fc397bda33d67385cf385f

[ "MIT" ]

null

prototorch/functions/__init__.py

codacy-badger/prototorch

4158586cb93e195208fc397bda33d67385cf385f

[ "MIT" ]

null

"""ProtoTorch functions.""" from .activations import identity, sigmoid_beta, swish_beta from .competitions import knnc, wtac __all__ = [ 'identity', 'sigmoid_beta', 'swish_beta', 'knnc', 'wtac', ]

16.846154

59

0.6621

23

219

5.956522

0.565217

0.218978

0.277372

0.350365

0.408759

0

0.200913

219

12

60

18.25

0.782857

0.09589

0

0.197917

0

1

0

false

0

0.222222

0

0.222222

0

1

0

null

1

0

null

0

4

d6aa2b86ffa206c6141dce5d13bdb6c0cf2c89d5

283

py

Python

backend/models/event/cloudwatchevent.py

crosspower/naruko

4c524e2ef955610a711830bc86d730ffe4fc2bd8

[ "MIT" ]

17

2019-01-23T04:37:43.000Z

2019-10-15T01:42:31.000Z

backend/models/event/cloudwatchevent.py

snickerjp/naruko

4c524e2ef955610a711830bc86d730ffe4fc2bd8

[ "MIT" ]

1

2019-01-23T08:04:44.000Z

2019-01-23T08:44:33.000Z

backend/models/event/cloudwatchevent.py

snickerjp/naruko

4c524e2ef955610a711830bc86d730ffe4fc2bd8

[ "MIT" ]

6

2019-01-23T09:10:59.000Z

2020-12-02T04:15:41.000Z

class CloudWatchEvent: def __init__(self, schedule_expression: str, is_active: bool, name: str =None): self.name = name self.schedule_expression = schedule_expression self.is_active = is_active

28.3

55

0.55477

27

283

5.444444

0.481481

0.367347

0.29932

0

0.385159

283

9

56

31.444444

0.844828

0

1

0.125

false

0

0.25

0

1

0

null

1

0

1

0

null

0

4

d6bdc5953cfe68275c0d5d09c14b3f4d2c277ef9

109

py

Python

src/genome_assembly/apps.py

rbr7/compgenomics-2021-Team2_WebServer

17a15fb4ee65f80a8b59df7d0731c9e20442ee5e

[ "MIT" ]

null

src/genome_assembly/apps.py

rbr7/compgenomics-2021-Team2_WebServer

17a15fb4ee65f80a8b59df7d0731c9e20442ee5e

[ "MIT" ]

null

src/genome_assembly/apps.py

rbr7/compgenomics-2021-Team2_WebServer

17a15fb4ee65f80a8b59df7d0731c9e20442ee5e

[ "MIT" ]

null

from django.apps import AppConfig class GenomeAssemblyConfig(AppConfig): name = 'genome_assembly'

18.166667

39

0.752294

11

109

7.363636

0.909091

0

0.183486

109

5

40

21.8

0.910112

0

0.144231

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ba3c1db4e049989fcf495f0222679e85764ac590

371

py

Python

edm_web1/script/newlib/_signal.py

zhouli121018/nodejsgm

0ccbc8acf61badc812f684dd39253d55c99f08eb

[ "MIT" ]

null

edm_web1/script/newlib/_signal.py

zhouli121018/nodejsgm

0ccbc8acf61badc812f684dd39253d55c99f08eb

[ "MIT" ]

18

2020-06-05T18:17:40.000Z

2022-03-11T23:25:21.000Z

edm_web1/script/newlib/_signal.py

zhouli121018/nodejsgm

0ccbc8acf61badc812f684dd39253d55c99f08eb

[ "MIT" ]

null

# -*- coding: utf-8 -*- import signal import gevent import gevent.signal # --------------信号量处理--------------- # 设置监听信号量 # 设置程序结束信号量 def init_gevent_signal(handler): gevent.signal(signal.SIGINT, handler, 'sigint') # 处理 Ctrl-C gevent.signal(signal.SIGTERM, handler, 'sigterm') # 处理 kill gevent.signal(signal.SIGALRM, handler, 'sigalrm') # 处理 signal.alarm()

28.538462

74

0.652291

44

371

5.454545

0.454545

0.25

0.225

0

0.003145

0.142857

371

13

74

28.538462

0.751572

0.296496

0

0.07874

0

1

0.142857

false

0

0.428571

0

0.571429

0

null

1

0

null

0

1

0

1

0

4

ba46f48e0207de0f69fe389e0b2c6e922ca55409

52

py

Python

src/authentication/models.py

ppknUWr/backend-bbz

5ee82737d4c65be109677ec9485ec7f59aae62bf

[ "Apache-2.0" ]

1

2021-03-03T19:12:26.000Z

src/authentication/models.py

ppknUWr/backend-bbz

5ee82737d4c65be109677ec9485ec7f59aae62bf

[ "Apache-2.0" ]

10

2021-03-01T16:11:29.000Z

2021-10-04T18:36:33.000Z

src/authentication/models.py

ppknUWr/backend-bbz

5ee82737d4c65be109677ec9485ec7f59aae62bf

[ "Apache-2.0" ]

null

from django.db import models # Create models here

10.4

28

0.769231

8

52

5

0.875

0

0.192308

52

4

29

13

0.952381

0.346154

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ba4b985b532c61b919cba18f2e4b40f76853316d

73

py

Python

interfaces/python/test/nodes_test.py

kernhanda/ELL

370c0de4e4c190ca0cb43654b4246b3686bca464

[ "MIT" ]

null

interfaces/python/test/nodes_test.py

kernhanda/ELL

370c0de4e4c190ca0cb43654b4246b3686bca464

[ "MIT" ]

null

interfaces/python/test/nodes_test.py

kernhanda/ELL

370c0de4e4c190ca0cb43654b4246b3686bca464

[ "MIT" ]

1

2020-12-10T17:49:07.000Z

import ell def test(): print("nodes_test.test -- TBD") return 0

12.166667

35

0.616438

11

73

4

0.818182

0

0.018182

0.246575

73

5

36

14.6

0.781818

0

0.30137

0

1

0.25

true

0

0.25

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

4

ba9112f0d2bc4c24f3431ed6555b7fa00712bb4d

96

py

Python

Tutorials/01. 10 Days of Statistics/011. Day 5 - Poisson Distribution II.py

stonehengee/HackerrankPractice

ec052e7447391e40d1919cf0b641ff5023da3da3

[ "MIT" ]

null

Tutorials/01. 10 Days of Statistics/011. Day 5 - Poisson Distribution II.py

stonehengee/HackerrankPractice

ec052e7447391e40d1919cf0b641ff5023da3da3

[ "MIT" ]

null

Tutorials/01. 10 Days of Statistics/011. Day 5 - Poisson Distribution II.py

stonehengee/HackerrankPractice

ec052e7447391e40d1919cf0b641ff5023da3da3

[ "MIT" ]

null

# Problem: https://www.hackerrank.com/challenges/s10-poisson-distribution-2/problem # Score: 30

32

83

0.78125

13

96

5.769231

0.923077

0

0.055556

0.0625

96

2

84

48

0.777778

0.947917

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

bab3bada988756769c8b3327590eb6ad143eac63

35

py

Python

DjangoStarter/DjangoStarter/__init__.py

QuinntyneBrown/DjangoStarter

7c2f385546568604acbb4f18d8a473ecb3688202

[ "MIT" ]

null

DjangoStarter/DjangoStarter/__init__.py

QuinntyneBrown/DjangoStarter

7c2f385546568604acbb4f18d8a473ecb3688202

[ "MIT" ]

null

DjangoStarter/DjangoStarter/__init__.py

QuinntyneBrown/DjangoStarter

7c2f385546568604acbb4f18d8a473ecb3688202

[ "MIT" ]

null

""" Package for DjangoStarter. """

8.75

26

0.657143

3

35

7.666667

1

0

0.142857

35

3

27

11.666667

0.766667

0.742857

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

bae560e156346abefb32ddd61fea1341e16ffced

446

py

Python

test/test_cmdline/test_tokens.py

Rudedog9d/pypsi

38dda442b21b8deb569d61076ab0a19c0e78edc8

[ "0BSD" ]

18

2015-01-07T19:05:29.000Z

2022-01-09T02:33:23.000Z

test/test_cmdline/test_tokens.py

Rudedog9d/pypsi

38dda442b21b8deb569d61076ab0a19c0e78edc8

[ "0BSD" ]

30

2015-02-19T16:04:04.000Z

2021-03-30T00:09:58.000Z

test/test_cmdline/test_tokens.py

Rudedog9d/pypsi

38dda442b21b8deb569d61076ab0a19c0e78edc8

[ "0BSD" ]

7

2016-01-02T17:55:48.000Z

2020-11-22T14:52:32.000Z

import pytest from pypsi.cmdline import * class TestTokens(object): @pytest.mark.parametrize('op', (';', '&&', '|', '||')) def test_operator_is_chain(self, op): token = OperatorToken(0, op) assert token.is_chain_operator() is True @pytest.mark.parametrize('op', ('>', '>>', '<')) def test_operator_is_not_chain(self, op): token = OperatorToken(0, op) assert token.is_chain_operator() is False

26.235294

58

0.623318

54

446

4.944444

0.444444

0.149813

0.157303

0.172285

0.749064

0.449438

0

0.00565

0.206278

446

16

59

27.875

0.748588

0

0.181818

0

0.031461

0

0.181818

1

0.181818

false

0

0.181818

0

0.454545

0

null

0

1

0

1

0

null

0

4

240d5d8ee9116bcce10947cf1d8fb581564f01f1

69

py

Python

replicator/tests/__init__.py

samcmill/ngc-container-replicator

b5502076c78bb2904f2e57681c8b5a86285b4c45

[ "BSD-3-Clause" ]

20

2019-02-01T18:22:47.000Z

2022-02-09T07:35:48.000Z

replicator/tests/__init__.py

samcmill/ngc-container-replicator

b5502076c78bb2904f2e57681c8b5a86285b4c45

[ "BSD-3-Clause" ]

10

2019-06-03T19:25:17.000Z

2022-01-11T03:56:38.000Z

replicator/tests/__init__.py

samcmill/ngc-container-replicator

b5502076c78bb2904f2e57681c8b5a86285b4c45

[ "BSD-3-Clause" ]

8

2019-05-10T14:43:26.000Z

2021-06-28T20:53:19.000Z

# -*- coding: utf-8 -*- """Unit test package for ngc_replicator."""

17.25

43

0.608696

9

69

4.555556

1

0

0.017241

0.15942

69

3

44

23

0.689655

0.869565

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

2434424390ffb89ab3ab1f08751be05ed66ad871

1,476

py

Python

foodie1/permissions.py

Jay-davisphem/ecommerce-backend

f8802f9f14a64c25b78dc205e616858b88082102

[ "MIT" ]

null

foodie1/permissions.py

Jay-davisphem/ecommerce-backend

f8802f9f14a64c25b78dc205e616858b88082102

[ "MIT" ]

null

foodie1/permissions.py

Jay-davisphem/ecommerce-backend

f8802f9f14a64c25b78dc205e616858b88082102

[ "MIT" ]

null

from rest_framework.permissions import BasePermission, SAFE_METHODS class IsUserPermission(BasePermission): def has_permission(self, request, view): if view.action in ['list', 'retrieve']: return True elif view.action == 'create': if request.user and request.user.groups.filter(name='vendors'): return True def has_object_permission(self, request, view, obj): return obj.vendor == request.user class IsVendor(BasePermission): def has_permission(self, request, view): if request.user and request.user.groups.filter(name='vendors'): return True return False class IsVendorAndOwner(IsVendor): def has_object_permission(self, request, view, obj): return obj.vendor.id == request.user.id or request.user.is_superuser class IsReadOnly(BasePermission): def has_permission(self, request, view): return request.method in SAFE_METHODS class IsAccountOwner(BasePermission): def has_permission(self, request, view): if view.action == 'create': return request.user.is_anonymous or request.user.is_superuser elif view.action in ['update', 'partial_update', 'destroy', 'retrieve']: return request.user.is_active else: return request.user.is_superuser def has_object_permission(self, request, view, obj): return request.user.is_superuser or request.user.username == obj.username

36

81

0.685637

177

1,476

5.60452

0.288136

0.144153

0.148185

0.176411

0.582661

0.483871

0.438508

0.393145

0.346774

0

0.219512

1,476

40

82

36.9

0.861111

0

0.387097

0

0.049458

0

1

0.225806

false

0

0.032258

0.129032

0.774194

0

null

0

1

0

null

0

1

0

1

0

4

24424d62523f29650f5b7085aa668cfb477348be

75

py

Python

cli/src/rnpfind/__init__.py

mnahinkhan/rnpfind

5aa956ddd528ab9ebd9588be845f78c449915b78

[ "MIT" ]

3

2021-06-08T03:55:03.000Z

2021-06-15T07:33:08.000Z

cli/src/rnpfind/__init__.py

mnahinkhan/RNPFind

8b561e087f943421c847dcb708ee386ee6439fa5

[ "MIT" ]

1

2022-02-24T15:34:24.000Z

2022-03-04T09:59:10.000Z

cli/src/rnpfind/__init__.py

mnahinkhan/RNPFind

8b561e087f943421c847dcb708ee386ee6439fa5

[ "MIT" ]

1

2021-07-22T04:13:34.000Z

""" test """ from .config import GENOME_VERSION from .main import rnpfind

10.714286

34

0.733333

10

75

5.4

0.8

0

0.16

75

6

35

12.5

0.857143

0.053333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

244e366c907e38a81cc2bdd92296bd45bfa08bc1

373

py

Python

emergency/registry/polls/models.py

michaelShriver/colte

ac2459c2ad8ea952b1b72e0187e36a6c5a43753b

[ "MIT" ]

48

2018-02-22T18:57:17.000Z

2021-11-09T11:17:15.000Z

emergency/registry/polls/models.py

michaelShriver/colte

ac2459c2ad8ea952b1b72e0187e36a6c5a43753b

[ "MIT" ]

81

2018-08-06T07:48:40.000Z

2022-03-31T05:35:06.000Z

emergency/registry/polls/models.py

michaelShriver/colte

ac2459c2ad8ea952b1b72e0187e36a6c5a43753b

[ "MIT" ]

22

2018-03-12T03:36:39.000Z

2021-12-18T06:27:24.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models # Create your models here. class Person(models.Model): name_text = models.CharField(max_length=50) status = models.IntegerField(default=0) phone_number = models.CharField(max_length=15) location = models.CharField(max_length=200) def __str__(self): return self.name_text

26.642857

47

0.772118

53

373

5.150943

0.679245

0.164835

0.197802

0.263736

0

0.027439

0.120643

373

13

48

28.692308

0.804878

0.123324

0

1

0.111111

false

0

0.222222

0.111111

1

0

null

0

1

0

null

0

1

0

4

79f6ccbf465cd982608dbd56b9c78c6a1a0d4f5f

51

py

Python

lib/codegen/meta-python/base/__init__.py

Bobo1239/cranelift

aa3c3b0135d9127f53a5e1015b061e212e4c8057

[ "Apache-2.0" ]

2

2018-09-27T03:39:03.000Z

2019-04-16T19:56:13.000Z

lib/codegen/meta-python/base/__init__.py

Bobo1239/cranelift

aa3c3b0135d9127f53a5e1015b061e212e4c8057

[ "Apache-2.0" ]

1

2018-10-11T22:37:33.000Z

2018-10-12T00:09:02.000Z

lib/codegen/meta-python/base/__init__.py

Bobo1239/cranelift

aa3c3b0135d9127f53a5e1015b061e212e4c8057

[ "Apache-2.0" ]

null

"""Definitions for the base Cranelift language."""

25.5

50

0.745098

6

51

6.333333

1

0

0.117647

51

1

51

0.844444

0.862745

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

033b160867ae2b655c30a543f36d3697d6ca084a

2,178

py

Python

pyforms/terminal/Controls/ControlBase.py

Jess3Jane/pyforms

f34816db018f05c581ede42804771faa39e78824

[ "MIT" ]

null

pyforms/terminal/Controls/ControlBase.py

Jess3Jane/pyforms

f34816db018f05c581ede42804771faa39e78824

[ "MIT" ]

null

pyforms/terminal/Controls/ControlBase.py

Jess3Jane/pyforms

f34816db018f05c581ede42804771faa39e78824

[ "MIT" ]

null

import os, pickle,uuid class ControlBase(object): _value = None _label = None _controlHTML = "" def __init__(self, *args, **kwargs): self._id = uuid.uuid4() self._value = kwargs.get('default', None) self._parent = 1 self._label = kwargs.get('label', args[0] if len(args)>0 else '') def init_form(self): pass def load_form(self, data, path=None): oldvalue = self.value self.value = data.get('value', None) if oldvalue!=self.value: self.changed_event() def changed_event(self): """ Function called when ever the Control value is changed """ return True def show(self):pass def hide(self):pass def open_popup_menu(self, position): pass def add_popup_submenu_option(self, label, options): pass def add_popup_menu_option(self, label, functionAction = None): pass def __repr__(self): return self.value ############################################################################ ############ Properties #################################################### ############################################################################ @property def enabled(self): return True @enabled.setter def enabled(self, value): pass ############################################################################ @property def value(self): return self._value @value.setter def value(self, value): oldvalue = self._value self._value = value if oldvalue!=value: self.changed_event() ############################################################################ @property def label(self): return self._label @label.setter def label(self, value): self._label = value ############################################################################ @property def form(self): return None ############################################################################ @property def parent(self): return self._parent @parent.setter def parent(self, value): self._parent = value

25.325581

80

0.456841

202

2,178

4.752475

0.292079

0.1125

0.067708

0.065625

0.054167

0

0.002375

0.226814

2,178

86

81

25.325581

0.567696

0.030303

0

0.113636

0

0.010835

0

1

0.431818

false

0.159091

0.022727

0.136364

0.568182

0

null

0

null

0

1

0

1

0

1

0

4

cee9ce6f35afe46df316f1cac17656c411a000a3

155

py

Python

Python Fundamentals/Data types and Variables/Exercise/Task04.py

IvanTodorovBG/SoftUni

7b667f6905d9f695ab1484efbb02b6715f6d569e

[ "MIT" ]

1

2022-03-16T10:23:04.000Z

Python Fundamentals/Data types and Variables/Exercise/Task04.py

IvanTodorovBG/SoftUni

7b667f6905d9f695ab1484efbb02b6715f6d569e

[ "MIT" ]

null

Python Fundamentals/Data types and Variables/Exercise/Task04.py

IvanTodorovBG/SoftUni

7b667f6905d9f695ab1484efbb02b6715f6d569e

[ "MIT" ]

null

n = int(input()) total_sum = 0 for x in range(1, n + 1): ascii_code = input() total_sum += ord(ascii_code) print(f"The sum equals: {total_sum}")

17.222222

37

0.625806

28

155

3.285714

0.642857

0.26087

0.282609

0

0.02459

0.212903

155

9

37

17.222222

0.729508

0

0.173077

0

1

0

false

0

0.166667

1

0

null

1

0

1

0

null

0

4

ceeaf19e4da9a5ce049c34c5c3203bae0ad3787b

216

py

Python

uam/entities/system.py

youyongsong/uam

a579752daa3e68ced97044a0aadef2ab37e387d2

[ "MIT" ]

null

uam/entities/system.py

youyongsong/uam

a579752daa3e68ced97044a0aadef2ab37e387d2

[ "MIT" ]

86

2017-12-01T02:54:15.000Z

2018-08-09T06:37:27.000Z

uam/entities/system.py

youyongsong/uam

a579752daa3e68ced97044a0aadef2ab37e387d2

[ "MIT" ]

null

import re def complete_shorten_address(address): shorten_pattern = re.compile(r"^[\w\-_\.]+/[\w\-_\.]+$") if shorten_pattern.match(address): return f'git@github.com:{address}.git' return address

27

60

0.657407

28

216

4.857143

0.607143

0.205882

0

0.157407

216

8

61

27

0.747253

0

0.235023

0

1

0.166667

false

0

0.166667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

4

cefdd4fef23552f88776b17cb33bcdb866fbab2b

131

py

Python

rllib/algorithms/mbmpo/__init__.py

kennethlien/ray

2916c2c3d29f2f7e4bf53872d5ac8c5d866b0e45

[ "Apache-2.0" ]

1

2019-06-19T02:23:43.000Z

rllib/algorithms/mbmpo/__init__.py

kennethlien/ray

2916c2c3d29f2f7e4bf53872d5ac8c5d866b0e45

[ "Apache-2.0" ]

73

2021-09-25T07:11:39.000Z

2022-03-26T07:10:59.000Z

rllib/algorithms/mbmpo/__init__.py

kennethlien/ray

2916c2c3d29f2f7e4bf53872d5ac8c5d866b0e45

[ "Apache-2.0" ]

null

from ray.rllib.algorithms.mbmpo.mbmpo import MBMPOTrainer, DEFAULT_CONFIG __all__ = [ "MBMPOTrainer", "DEFAULT_CONFIG", ]

18.714286

73

0.740458

14

131

6.5

0.714286

0.417582

0.549451

0

0.152672

131

6

74

21.833333

0.81982

0

0.198473

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

4

3004aa7d9d2d24b7da8e6f6d0e4b5f5558675714

30

py

Python

hardware-testing/tests/gravimetric_test/__init__.py

Opentrons/protocol_framework

ebbd6b2fe984edd6ecfcbf1dbe040db7f7356b9f

[ "Apache-2.0" ]

null

hardware-testing/tests/gravimetric_test/__init__.py

Opentrons/protocol_framework

ebbd6b2fe984edd6ecfcbf1dbe040db7f7356b9f

[ "Apache-2.0" ]

null

hardware-testing/tests/gravimetric_test/__init__.py

Opentrons/protocol_framework

ebbd6b2fe984edd6ecfcbf1dbe040db7f7356b9f

[ "Apache-2.0" ]

null

"""Gravimetric test tests."""

15

29

0.666667

3

30

6.666667

1

0

0.1

30

1

30

0.740741

0.766667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

3018767fdbc96b2ba4ecaf832e4c94ca83d84b5f

146

py

Python

VacationPy/api_keys.py

sashatherussian/python-api-challenge

5ffffd136ff4d7775cb799db7f9ee1dfe2fa0002

[ "ADSL" ]

null

VacationPy/api_keys.py

sashatherussian/python-api-challenge

5ffffd136ff4d7775cb799db7f9ee1dfe2fa0002

[ "ADSL" ]

null

VacationPy/api_keys.py

sashatherussian/python-api-challenge

5ffffd136ff4d7775cb799db7f9ee1dfe2fa0002

[ "ADSL" ]

null

# OpenWeatherMap API Key weather_api_key = "68524e14c88fa47aab3ac62f9461f6d5" # Google API Key g_key = "AIzaSyAMvlEJHc05Plk9V6VOFt-ezMHPgo6BZSo"

24.333333

52

0.835616

14

146

8.5

0.642857

0.151261

0

0.19084

0.10274

146

5

53

29.2

0.717557

0.253425

0

0.669811

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4