xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

8320fac728a80d85b1e519630dfc970c9c911d4e

660

py

Python

tensorflow_addons/conftest.py

dkamotsky/addons

56ff850785c6caa8c18c2859e32a32c8902defea

[ "Apache-2.0" ]

null

tensorflow_addons/conftest.py

dkamotsky/addons

56ff850785c6caa8c18c2859e32a32c8902defea

[ "Apache-2.0" ]

null

tensorflow_addons/conftest.py

dkamotsky/addons

56ff850785c6caa8c18c2859e32a32c8902defea

[ "Apache-2.0" ]

null

from tensorflow_addons.utils.test_utils import maybe_run_functions_eagerly # noqa: F401 from tensorflow_addons.utils.test_utils import cpu_and_gpu # noqa: F401 from tensorflow_addons.utils.test_utils import data_format # noqa: F401 from tensorflow_addons.utils.test_utils import set_seeds # noqa: F401 from tensorflow_addons.utils.test_utils import pytest_addoption # noqa: F401 from tensorflow_addons.utils.test_utils import set_global_variables # noqa: F401 # fixtures present in this file will be available # when running tests and can be referenced with strings # https://docs.pytest.org/en/latest/fixture.html#conftest-py-sharing-fixture-functions

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py

Python

atgtasks/__init__.py

seba-1511/atg

8f0b135d1a32c613f6726c7b28d165b8fd63c94c

[ "MIT" ]

null

atgtasks/__init__.py

seba-1511/atg

8f0b135d1a32c613f6726c7b28d165b8fd63c94c

[ "MIT" ]

null

atgtasks/__init__.py

seba-1511/atg

8f0b135d1a32c613f6726c7b28d165b8fd63c94c

[ "MIT" ]

null

#!/usr/bin/env python3 from ._version import __version__ from .benchmarks import get_tasksets

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py

Python

tools/pot/openvino/tools/pot/statistics/functions/activations.py

pazamelin/openvino

b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48

[ "Apache-2.0" ]

2,406

2020-04-22T15:47:54.000Z

2022-03-31T10:27:37.000Z

tools/pot/openvino/tools/pot/statistics/functions/activations.py

thomas-yanxin/openvino

031e998a15ec738c64cc2379d7f30fb73087c272

[ "Apache-2.0" ]

4,948

2020-04-22T15:12:39.000Z

2022-03-31T18:45:42.000Z

tools/pot/openvino/tools/pot/statistics/functions/activations.py

thomas-yanxin/openvino

031e998a15ec738c64cc2379d7f30fb73087c272

[ "Apache-2.0" ]

991

2020-04-23T18:21:09.000Z

2022-03-31T18:40:57.000Z

# Copyright (C) 2020-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from functools import partial import numpy as np from ..function_selector import ACTIVATIONS_STATS_FN, PERTENSOR, PERCHANNEL compute_act_stats_fn_per_tensor = ACTIVATIONS_STATS_FN['compute_statistic'][PERTENSOR] compute_act_stats_fn_per_channel = ACTIVATIONS_STATS_FN['compute_statistic'][PERCHANNEL] get_act_stats_fn_per_tensor = ACTIVATIONS_STATS_FN['statistic_in_graph'][PERTENSOR] get_act_stats_fn_per_channel = ACTIVATIONS_STATS_FN['statistic_in_graph'][PERCHANNEL] # helper functions to calculate statistics for activations def calculate_per_channel_stats(acts, fn, axis=1): """ Calculates per-channel statistics for activations using a specific function :param act: activation :param fn: function to calculate per-channel statistics :return statistics generated by fn for each activation in the batch """ if len(acts.shape) < 3: return acts acts = np.moveaxis(acts, axis, 1) t = acts.reshape(acts.shape[0], acts.shape[1], -1) return fn(t, axis=2) def calculate_per_tensor_stats(acts, fn): """ Calculates statistics by whole tensor for activations using a specific function :param act: activation :param fn: function to calculate per-tensor statistics :return statistics generated by fn for each activation in the batch """ if len(acts.shape) < 2: return np.atleast_1d(fn(acts)) t = acts.reshape(acts.shape[0], -1) return fn(t, axis=1) @compute_act_stats_fn_per_tensor.register('max') def max_per_tensor(acts, **_): return calculate_per_tensor_stats(acts, np.max) @compute_act_stats_fn_per_tensor.register('min') def min_per_tensor(acts, **_): return calculate_per_tensor_stats(acts, np.min) @compute_act_stats_fn_per_tensor.register('abs_max') def abs_max_per_tensor(acts, **_): return max_per_tensor(np.abs(acts)) @compute_act_stats_fn_per_tensor.register('quantile') def quantile_per_tensor(acts, q, **_): return calculate_per_tensor_stats(acts, partial(np.quantile, q=q)) @compute_act_stats_fn_per_tensor.register('abs_quantile') def abs_quantile_per_tensor(acts, q, **_): return quantile_per_tensor(np.abs(acts), q) @compute_act_stats_fn_per_channel.register('mean') def mean_per_channel(acts, **_): return calculate_per_channel_stats(acts, np.mean) @compute_act_stats_fn_per_channel.register('mean_axis') def mean_per_channel_axis(acts, layer_key=None, **kwargs): axis = kwargs.get('channel', {}).get(layer_key, 1) return calculate_per_channel_stats(acts, np.mean, axis=axis) @compute_act_stats_fn_per_channel.register('quantile') def quantile_per_channel(acts, q, **_): return calculate_per_channel_stats(acts, partial(np.quantile, q=q)) @compute_act_stats_fn_per_channel.register('max') def max_per_channel(acts, **_): return calculate_per_channel_stats(acts, np.max) @compute_act_stats_fn_per_channel.register('min') def min_per_channel(acts, **_): return calculate_per_channel_stats(acts, np.min) @compute_act_stats_fn_per_channel.register('abs_max') def abs_max_per_channel(acts, **_): return max_per_channel(np.abs(acts)) @compute_act_stats_fn_per_channel.register('abs_quantile') def abs_quantile_per_channel(acts, q, **_): return quantile_per_channel(np.abs(acts), q) @get_act_stats_fn_per_tensor.register('max') def get_max_per_tensor(acts, **_): return np.atleast_1d(acts) @get_act_stats_fn_per_tensor.register('min') def get_min_per_tensor(acts, **_): return np.atleast_1d(acts) @get_act_stats_fn_per_tensor.register('abs_max') def get_abs_max_per_tensor(acts, **_): return np.atleast_1d(acts) @get_act_stats_fn_per_channel.register('mean') def get_mean_per_channel(acts, **_): return np.atleast_1d(acts) @get_act_stats_fn_per_channel.register('mean_axis') def get_mean_per_channel_axis(acts, _, **__): return np.atleast_1d(acts) @get_act_stats_fn_per_channel.register('max') def get_max_per_channel(acts, **_): return np.atleast_1d(acts) @get_act_stats_fn_per_channel.register('min') def get_min_per_channel(acts, **_): return np.atleast_1d(acts) @get_act_stats_fn_per_channel.register('abs_max') def get_abs_max_per_channel(acts, **_): return np.atleast_1d(acts)

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3602bac78caa3b147315792011cd1f1ddbebec28

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py

Python

pobx/__init__.py

nardi/pobx

91a0ce371def5ba8622c41faae5faa1199f16118

[ "MIT" ]

2

2021-01-31T06:45:59.000Z

2021-02-01T01:20:10.000Z

pobx/__init__.py

nardi/pobx

91a0ce371def5ba8622c41faae5faa1199f16118

[ "MIT" ]

null

pobx/__init__.py

nardi/pobx

91a0ce371def5ba8622c41faae5faa1199f16118

[ "MIT" ]

null

from .observables import observable, observables, autorun from .actions import run_in_action, action from .computeds import computed, computedproperty, computed_property

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py

Python

BootstrapProject/BootstrapApp/models.py

cs-fullstack-2019-spring/django-bootstrap-grid-ic-PorcheWooten

4cc8e247b723f76ace5718943fc74308caccb4fd

[ "Apache-2.0" ]

null

BootstrapProject/BootstrapApp/models.py

cs-fullstack-2019-spring/django-bootstrap-grid-ic-PorcheWooten

4cc8e247b723f76ace5718943fc74308caccb4fd

[ "Apache-2.0" ]

null

BootstrapProject/BootstrapApp/models.py

cs-fullstack-2019-spring/django-bootstrap-grid-ic-PorcheWooten

4cc8e247b723f76ace5718943fc74308caccb4fd

[ "Apache-2.0" ]

null

from django.db import models # Create your models here. class SignInModel(models.Model): USERNAME = models.CharField(max_length=200, default="") PASSWORD = models.CharField(max_length=200, default="") class SignUpModel(models.Model): USERNAME = models.CharField(max_length=200, default="") EMAIL = models.EmailField(default="") PASSWORD = models.CharField(max_length=200, default="") CONFIRM_PASSWORD = models.CharField(max_length=200, default="")

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py

Python

tests/helpers/__init__.py

KronosKoderS/py-pushover

4ebec97a6917f32ddb4b41cd8778ee6fd0ace322

[ "MIT" ]

10

2015-08-25T03:07:47.000Z

2015-11-14T13:42:47.000Z

tests/helpers/__init__.py

KronoSKoderS/pypushover

4ebec97a6917f32ddb4b41cd8778ee6fd0ace322

[ "MIT" ]

46

2018-01-04T16:56:29.000Z

2022-03-29T11:09:10.000Z

tests/helpers/__init__.py

KronosKoderS/py-pushover

4ebec97a6917f32ddb4b41cd8778ee6fd0ace322

[ "MIT" ]

3

2018-11-02T15:54:04.000Z

2022-02-20T21:11:58.000Z

from tests.helpers.keys import user_key, group_key, app_key, device_id __all__ = ['user_key', 'group_key', 'app_key', 'secret', 'device_id']

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py

Python

petl/__init__.py

vishalbelsare/petl

012cc7faf79d2fa8147a2cfe3a8b39b110f77051

[ "MIT" ]

495

2018-08-07T18:24:57.000Z

2022-03-31T14:57:57.000Z

petl/__init__.py

vishalbelsare/petl

012cc7faf79d2fa8147a2cfe3a8b39b110f77051

[ "MIT" ]

204

2018-07-25T12:44:14.000Z

2022-03-28T07:52:54.000Z

petl/__init__.py

vishalbelsare/petl

012cc7faf79d2fa8147a2cfe3a8b39b110f77051

[ "MIT" ]

103

2015-01-13T11:13:59.000Z

2018-06-06T03:41:29.000Z

from __future__ import absolute_import, print_function, division from petl.version import version as __version__ from petl import comparison from petl.comparison import Comparable from petl import util from petl.util import * from petl import io from petl.io import * from petl import transform from petl.transform import * from petl import config from petl import errors from petl.errors import *

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36be30390553bc09eb1b266eb3ea5133f5b231d0

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py

Python

torchsketch/utils/svg_specific_utils/__init__.py

songyzh/torchsketch

42bca1b31ab9699d9b6d77a102b1f46bba82fb33

[ "MIT" ]

182

2020-03-25T01:59:11.000Z

2022-03-29T08:58:47.000Z

torchsketch/utils/svg_specific_utils/__init__.py

songyzh/torchsketch

42bca1b31ab9699d9b6d77a102b1f46bba82fb33

[ "MIT" ]

5

2020-03-25T13:16:50.000Z

2022-02-19T09:51:39.000Z

torchsketch/utils/svg_specific_utils/__init__.py

songyzh/torchsketch

42bca1b31ab9699d9b6d77a102b1f46bba82fb33

[ "MIT" ]

17

2020-03-25T12:40:49.000Z

2022-03-28T06:34:40.000Z

from torchsketch.utils.svg_specific_utils.convert_colors_4_svg import convert_colors_4_svg from torchsketch.utils.svg_specific_utils.convert_colors_4_svgs import convert_colors_4_svgs from torchsketch.utils.svg_specific_utils.convert_stroke_width_4_svg import convert_stroke_width_4_svg from torchsketch.utils.svg_specific_utils.convert_stroke_width_4_svgs import convert_stroke_width_4_svgs from torchsketch.utils.svg_specific_utils.convert_svg_2_accumulative_svgs import convert_svg_2_accumulative_svgs from torchsketch.utils.svg_specific_utils.convert_svg_2_gif import convert_svg_2_gif from torchsketch.utils.svg_specific_utils.convert_svg_2_pdf import convert_svg_2_pdf from torchsketch.utils.svg_specific_utils.convert_svg_2_png import convert_svg_2_png from torchsketch.utils.svg_specific_utils.convert_svgs_2_pdfs import convert_svgs_2_pdfs from torchsketch.utils.svg_specific_utils.convert_svgs_2_pngs import convert_svgs_2_pngs from torchsketch.utils.svg_specific_utils.count_strokes_4_svg import count_strokes_4_svg from torchsketch.utils.svg_specific_utils.mark_longest_strokes_4_svg import mark_longest_strokes_4_svg

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py

Python

uploads/models.py

ghcis/forum

35c10ae373b7af710b10fc63d0b9d6c684d54836

[ "Apache-2.0" ]

null

uploads/models.py

ghcis/forum

35c10ae373b7af710b10fc63d0b9d6c684d54836

[ "Apache-2.0" ]

null

uploads/models.py

ghcis/forum

35c10ae373b7af710b10fc63d0b9d6c684d54836

[ "Apache-2.0" ]

null

from django.db import models class File(models.Model): file = models.FileField() def __str__(self) -> str: return str(self.file)

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7fda4417d485a5e1304e18b69e4425610f3ee921

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py

Python

tests/model/test_res2net.py

hankyul2/pytorch-image-classification

2da942aaf806de961941d57e9daa0b9a37798530

[ "Apache-2.0" ]

null

tests/model/test_res2net.py

hankyul2/pytorch-image-classification

2da942aaf806de961941d57e9daa0b9a37798530

[ "Apache-2.0" ]

null

tests/model/test_res2net.py

hankyul2/pytorch-image-classification

2da942aaf806de961941d57e9daa0b9a37798530

[ "Apache-2.0" ]

null

import torch from pic.model import create_model def test_res2net34_18w_4s(): x = torch.rand([2, 3, 224, 224]) model = create_model('res2net34_18w_4s') y = model(x) assert list(y.shape) == [2, 1000] def test_res2net50_18w_4s(): x = torch.rand([2, 3, 224, 224]) model = create_model('res2net50_18w_4s') y = model(x) assert list(y.shape) == [2, 1000] def test_seres2net(): x = torch.rand([2, 3, 224, 224]) model = create_model('seres2net50_26w_4s') y = model(x) assert list(y.shape) == [2, 1000] def test_seres2next(): x = torch.rand([2, 3, 224, 224]) model = create_model('seres2net50_26w_4s') y = model(x) assert list(y.shape) == [2, 1000]

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py

Python

digits/extensions/view/rawData/forms.py

ojmakhura/DIGITS

f34e62c245054b51ea51fcb8949d2ca777f162d1

[ "BSD-3-Clause" ]

null

digits/extensions/view/rawData/forms.py

ojmakhura/DIGITS

f34e62c245054b51ea51fcb8949d2ca777f162d1

[ "BSD-3-Clause" ]

null

digits/extensions/view/rawData/forms.py

ojmakhura/DIGITS

f34e62c245054b51ea51fcb8949d2ca777f162d1

[ "BSD-3-Clause" ]

null

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5

e9e95e5b0737173f435cdf97425d916c2759a27c

272

py

Python

sentences/base_sentence.py

kelltrill/scifibot

e9dfc55b63a6ff40e9fa268f620ff811c88862a3

[ "MIT" ]

5

2020-03-17T17:04:53.000Z

2020-03-27T12:10:44.000Z

sentences/base_sentence.py

kelltrill/scifibot

e9dfc55b63a6ff40e9fa268f620ff811c88862a3

[ "MIT" ]

null

sentences/base_sentence.py

kelltrill/scifibot

e9dfc55b63a6ff40e9fa268f620ff811c88862a3

[ "MIT" ]

null

# parent class # common functionality that every sentence will need class base_sentence(object): sentence_name = "" def __init__(self, sentence_name): self.sentence_name = sentence_name def get_name(self): return self.sentence_name

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py

Python

storage/team16/BusinessLayer/tuple-module.py

strickergt128/tytus

93216dd9481ea0775da1d2967dc27be66872537f

[ "MIT" ]

null

storage/team16/BusinessLayer/tuple-module.py

strickergt128/tytus

93216dd9481ea0775da1d2967dc27be66872537f

[ "MIT" ]

null

storage/team16/BusinessLayer/tuple-module.py

strickergt128/tytus

93216dd9481ea0775da1d2967dc27be66872537f

[ "MIT" ]

null

class Tuple: pass

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180ceae00163f7d950060571d42390ee4ae05f96

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py

Python

hydraclient/contrib/django/hydraclient/settings.py

ericmoritz/hydra-python-client

a4f5564600e074ff0e835fe34ce6cb16fb31193d

[ "BSD-3-Clause" ]

1

2016-08-28T08:08:07.000Z

hydraclient/contrib/django/hydraclient/settings.py

ericmoritz/hydra-python-client

a4f5564600e074ff0e835fe34ce6cb16fb31193d

[ "BSD-3-Clause" ]

null

hydraclient/contrib/django/hydraclient/settings.py

ericmoritz/hydra-python-client

a4f5564600e074ff0e835fe34ce6cb16fb31193d

[ "BSD-3-Clause" ]

null

from hydraclient.core.settings import DEFAULT_JSONLD_CONTEXT from django.conf import settings DEFAULT_JSONLD_CONTEXT = getattr( settings, "DEFAULT_JSONLD_CONTEXT", DEFAULT_JSONLD_CONTEXT )

22.444444

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0

0.138614

202

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25.25

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0

0.285714

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0

null

1

0

1

0

null

0

5

181188e5744881cc7ece1caa71bb979c1872bbfc

133

py

Python

Colours.py

b4ggio-su/PoshC2_Python

add66426534c524f1340f751945b61352bdd8c81

[ "BSD-3-Clause" ]

3

2020-05-04T22:27:00.000Z

2021-03-18T01:43:35.000Z

Colours.py

b4ggio-su/PoshC2_Python

add66426534c524f1340f751945b61352bdd8c81

[ "BSD-3-Clause" ]

null

Colours.py

b4ggio-su/PoshC2_Python

add66426534c524f1340f751945b61352bdd8c81

[ "BSD-3-Clause" ]

2

2019-08-30T04:57:35.000Z

2021-03-09T16:14:10.000Z

#!/usr/bin/python class Colours: BLUE = '\033[94m' GREEN = '\033[92m' RED = '\033[91m' END = '\033[0m' YELLOW = '\033[93m'

16.625

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133

3.7

0.8

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0.210526

133

8

21

16.625

0.47619

0.120301

0

0.333333

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0

1

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1

0

null

0

1

0

5

1827acf86b5da62aa64ffbacd13ff4b54dc760ec

95

py

Python

bioimageio/spec/model/nodes.py

esgomezm/spec-bioimage-io

2bc3f8177d5346ac94bf8a771ed619e076c6e935

[ "MIT" ]

null

bioimageio/spec/model/nodes.py

esgomezm/spec-bioimage-io

2bc3f8177d5346ac94bf8a771ed619e076c6e935

[ "MIT" ]

null

bioimageio/spec/model/nodes.py

esgomezm/spec-bioimage-io

2bc3f8177d5346ac94bf8a771ed619e076c6e935

[ "MIT" ]

null

# Auto-generated by generate_passthrough_modules.py - do not modify from .v0_3.nodes import *

23.75

67

0.789474

15

95

4.8

1

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0.02439

0.136842

95

3

68

31.666667

0.853659

0.684211

0

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1849922374c9e916b2690eb78b4f51413a4fc74b

111

py

Python

Tools/gen_table_data.py

fuliufuliu/UnitySocketProtobuf3Demo

3a07104d6fa2707fd73751dca52b1e03736e22ea

[ "MIT" ]

2

2020-07-21T07:59:22.000Z

2020-07-21T07:59:25.000Z

Tools/gen_table_data.py

fuliufuliu/UnitySocketProtobuf3Demo

3a07104d6fa2707fd73751dca52b1e03736e22ea

[ "MIT" ]

null

Tools/gen_table_data.py

fuliufuliu/UnitySocketProtobuf3Demo

3a07104d6fa2707fd73751dca52b1e03736e22ea

[ "MIT" ]

null

from TableCode.excel import excel_start excel_start(isOutClient=False, isOutServer=True) print("finished...")

22.2

48

0.810811

14

111

6.285714

0.785714

0.227273

0

0.072072

111

5

49

22.2

0.854369

0

0.098214

0

1

0

true

0

0.333333

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0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

5

184b5a41df5e971af7c169a2f2bfbb51f56a8460

88

py

Python

test_code/boj/bronze5/1001.py

yjinheon/solve

f47cd19d3c81d0b16586159c754deb2ffcb31ca0

[ "Apache-2.0" ]

null

test_code/boj/bronze5/1001.py

yjinheon/solve

f47cd19d3c81d0b16586159c754deb2ffcb31ca0

[ "Apache-2.0" ]

null

test_code/boj/bronze5/1001.py

yjinheon/solve

f47cd19d3c81d0b16586159c754deb2ffcb31ca0

[ "Apache-2.0" ]

null

a ,b =map(int,input().split()) def subtract(a,b): return a-b print(subtract(a,b))

12.571429

30

0.613636

17

88

3.176471

0.588235

0.148148

0.37037

0

0.159091

88

6

31

14.666667

0.72973

0

1

0.25

false

0

0.25

0.5

0.25

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1862190bda0360756e03951fe619dd0ffb9686d4

2,708

py

Python

database/tests/test_views.py

Amrithasuresh/BPPRC

6ee01914a612d65f7084db7ce377da3bab682e66

[ "BSD-3-Clause" ]

2

2020-01-10T18:36:37.000Z

2020-01-10T18:42:41.000Z

database/tests/test_views.py

bpprc/database

6e8302729793ddf840630840bd08c96ddd35a52e

[ "BSD-3-Clause" ]

12

2020-06-05T23:39:18.000Z

2022-03-12T00:48:18.000Z

database/tests/test_views.py

bpprc/database

6e8302729793ddf840630840bd08c96ddd35a52e

[ "BSD-3-Clause" ]

null

# from django.test import TestCase, Client # from django.urls import reverse # from database.models import PesticidalProteinDatabase, Description # import json # # # class TestViews(TestCase): # # def setUp(self): # self.client = Client() # self.statistics_url = reverse('statistics') # self.categorize_database_url = reverse( # 'categorize_database', args=['Cry']) # self.protein_description = Description.objects.create( # name='Cry', # description='Mnemonic retained for 3-domain proteins' # ) # self.protein_example = PesticidalProteinDatabase.objects.create( # name='Cry1Aa1', # oldname='Cry1Aa1', # othernames='Cry1A(a)', # accession='AAA22353', # year='1985', # sequence=""" # MDNNPNINECIPYNCLSNPEVEVLGGERIETGYTPIDISLSLTQFLLSEFVPGAGFVLGLVDIIWGIFGPSQWDAFPVQIEQLINQRIEEFARNQAISRLEGLSNLYQIYAESFREWEADPTNPALREEMRIQFNDMNSALTTAIPLLAVQNYQVPLLSVYVQAANLHLSVLRDVSVFGQRWGFDAATINSRYNDLTRLIGNYTDYAVRWYNTGLERVWGPDSRDWVRYNQFRRELTLTVLDIVALFSNYDSRRYPIRTVSQLTREIYTNPVLENFDGSFRGMAQRIEQNIRQPHLMDILNSITIYTDVHRGFNYWSGHQITASPVGFSGPEFAFPLFGNAGNAAPPVLVSLTGLGIFRTLSSPLYRRIILGSGPNNQELFVLDGTEFSFASLTTNLPSTIYRQRGTVDSLDVIPPQDNSVPPRAGFSHRLSHVTMLSQAAGAVYTLRAPTFSWQHRSAEFNNIIPSSQITQIPLTKSTNLGSGTSVVKGPGFTGGDILRRTSPGQISTLRVNITAPLSQRYRVRIRYASTTNLQFHTSIDGRPINQGNFSATMSSGSNLQSGSFRTVGFTTPFNFSNGSSVFTLSAHVFNSGNEVYIDRIEFVPAEVTFEAEYDLERAQKAVNELFTSSNQIGLKTDVTDYHIDQVSNLVECLSDEFCLDEKQELSEKVKHAKRLSDERNLLQDPNFRGINRQLDRGWRGSTDITIQGGDDVFKENYVTLLGTFDECYPTYLYQKIDESKLKAYTRYQLRGYIEDSQDLEIYLIRYNAKHETVNVPGTGSLWPLSAQSPIGKCGEPNRCAPHLEWNPDLDCSCRDGEKCAHHSHHFSLDIDVGCTDLNEDLGVWVIFKIKTQDGHARLGNLEFLEEKPLVGEALARVKRAEKKWRDKREKLEWETNIVYKEAKESVDALFVNSQYDQLQADTNIAMIHAADKRVHSIREAYLPELSVIPGVNAAIFEELEGRIFTAFSLYDARNVIKNGDFNNGLSCWNVKGHVDVEEQNNQRSVLVLPEWEAEVSQEVRVCPGRGYILRVTAYKEGYGEGCVTIHEIENNTDELKFSNCVEEEIYPNNTVTCNDYTVNQEEYGGAYTSRNRGYNEAPSVPADYASVYEEKSYTDGRRENPCEFNRGYRDYTPLPVGYVTKELEYFPETDKVWIEIGETEGTFIVDSVELLLMEE # """, # ) # # def test_categorize_database(self): # # response = self.client.get(self.categorize_database_url) # print("response", response.status_code) # # self.assertEquals(response.status_code, 200) # self.assertTemplateUsed( # response, 'database/category_display_update.html') # # # def test_statistics(self): # # # # response = self.client.get(self.statistics_url) # # print("response", response.status_code) # # # # self.assertEquals(response.status_code, 200) # # self.assertTemplateUsed(response, 'database/statistics.html')

60.177778

1,190

0.767725

136

2,708

15.154412

0.419118

0.034935

0.02426

0.133916

0.105774

0

0.009255

0.162112

2,708

44

1,191

61.545455

0.899074

0.964549

0

null

0

null

0

null

1

0

null

1

null

true

0

null

0

1

null

0

1

0

1

0

null

1

0

1

0

5

186b8c3ce86f3e30efbf61bb34780dab9f16c662

184

py

Python

src/app/repositories/user/__init__.py

dieisabel/cypherman

06d8678b79b18aa256a79ec6967d68274f088dbc

[ "MIT" ]

null

src/app/repositories/user/__init__.py

dieisabel/cypherman

06d8678b79b18aa256a79ec6967d68274f088dbc

[ "MIT" ]

43

2021-12-02T21:26:01.000Z

2022-02-21T08:51:06.000Z

src/app/repositories/user/__init__.py

dieisabel/cypherman

06d8678b79b18aa256a79ec6967d68274f088dbc

[ "MIT" ]

null

__all__ = [ 'IUserRepository', 'UserRepository', ] from repositories.user.iuser_repository import IUserRepository from repositories.user.user_repository import UserRepository

23

62

0.804348

17

184

8.352941

0.529412

0.225352

0.28169

0

0.125

184

7

63

26.285714

0.881988

0

0.157609

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

1882927e68491e245c456930a1825cab5d73c13e

190

py

Python

detect_spines/admin.py

LakshyaKhatri/Bookshelf-Reader-API

7bd1e130fcd22cdd18b12bcc63bd412d25780b54

[ "MIT" ]

16

2019-04-25T18:28:26.000Z

2022-03-08T14:39:23.000Z

detect_spines/admin.py

imranansari/Bookshelf-Reader-API

5b9058c7c74ceb3e84dbde681a702015c7ad7138

[ "MIT" ]

4

2021-01-14T13:44:52.000Z

2021-11-27T15:53:44.000Z

detect_spines/admin.py

imranansari/Bookshelf-Reader-API

5b9058c7c74ceb3e84dbde681a702015c7ad7138

[ "MIT" ]

6

2019-06-29T11:22:55.000Z

2022-02-05T19:10:42.000Z

from django.contrib import admin from .models import Bookshelf, Spine, Book # Register your models here. admin.site.register(Bookshelf) admin.site.register(Spine) admin.site.register(Book)

23.75

42

0.805263

27

190

5.666667

0.481481

0.176471

0.333333

0

0.1

190

7

43

27.142857

0.894737

0.136842

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a11e7b83a2c3ba9206a37c645fc4e3ee53de411a

52

py

Python

flo/tasks/__init__.py

deanmalmgren/flo

40ba3ce29a03cecb74bf809e40061e5e5c9d6a6b

[ "MIT" ]

15

2015-03-26T07:45:24.000Z

2019-09-09T13:07:29.000Z

flo/tasks/__init__.py

deanmalmgren/flo

40ba3ce29a03cecb74bf809e40061e5e5c9d6a6b

[ "MIT" ]

3

2015-09-16T09:33:30.000Z

2016-08-24T06:39:56.000Z

flo/tasks/__init__.py

deanmalmgren/flo

40ba3ce29a03cecb74bf809e40061e5e5c9d6a6b

[ "MIT" ]

4

2016-07-07T18:32:56.000Z

2020-06-19T07:24:11.000Z

from .task import Task from .graph import TaskGraph

17.333333

28

0.807692

8

52

5.25

0.625

0

0.153846

52

2

29

26

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a123e07cfa0ac07ceee5500b5a4d82f9a89afa92

62

py

Python

osmABTS/paths.py

ZSSVE/osmABTS

c833aa61740cca557674b3531a33096674e8e711

[ "MIT" ]

1

2020-03-13T05:38:11.000Z

osmABTS/paths.py

ZSSVE/osmABTS

c833aa61740cca557674b3531a33096674e8e711

[ "MIT" ]

null

osmABTS/paths.py

ZSSVE/osmABTS

c833aa61740cca557674b3531a33096674e8e711

[ "MIT" ]

null

""" Shortest path computation ========================= """

8.857143

25

0.370968

3

62

7.666667

1

0

0.129032

62

6

26

10.333333

0.425926

0.822581

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

5

a133f0a2d8773da3b00ed950e6258c1c3422793b

951

py

Python

tasks/password_validator/05_Viktoriya_Vasileva/test_password.py

valentinvarbanov/software_engineering_2021

33ece7d1e4889840621626e30f975d6cfd370b38

[ "MIT" ]

7

2021-10-05T14:54:55.000Z

2022-02-16T06:07:12.000Z

tasks/password_validator/05_Viktoriya_Vasileva/test_password.py

valentinvarbanov/software_engineering_2021

33ece7d1e4889840621626e30f975d6cfd370b38

[ "MIT" ]

2

2021-12-04T10:49:46.000Z

2022-02-28T06:09:06.000Z

tasks/password_validator/05_Viktoriya_Vasileva/test_password.py

valentinvarbanov/software_engineering_2021

33ece7d1e4889840621626e30f975d6cfd370b38

[ "MIT" ]

null

from password import weak_passwords, letters_password, special_letters_password, size_password def test_weak_password_true(): weak_pass = ['12345', 'qwerty', 'password', 'asdf'] for weak in weak_pass: assert weak_passwords(weak) == True def test_letters_password(): assert letters_password("a") == True assert letters_password("asdfghj") == True assert letters_password("zkjhgfvh") == True assert letters_password("1232") == False assert letters_password("elsys") == True def test_special_letters_password(): assert special_letters_password("a") == False assert special_letters_password("!") == True assert special_letters_password("afgh*") == True assert special_letters_password("el$y$") == True def test_size_password(): assert size_password("adfghjsdfghjkjhgfd") == True assert size_password("abcdiefs") == False assert size_password("a") == False # def test_all() # assert

35.222222

94

0.71714

114

951

5.675439

0.263158

0.301391

0.204019

0.173107

0.098918

0

0.011307

0.162986

951

27

95

35.222222

0.801508

0.026288

0

0.094258

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0.65

1

0.2

false

1

0.05

0

0.25

0

null

1

0

null

0

1

0

1

0

5

a14cccc41528757e3de087f76761a7ad73288609

62

py

Python

Section 01-03/demo.py

tonymanpro/Python

f7072063004a71b0b7ea33e76df79c20cb8b803c

[ "MIT" ]

null

Section 01-03/demo.py

tonymanpro/Python

f7072063004a71b0b7ea33e76df79c20cb8b803c

[ "MIT" ]

null

Section 01-03/demo.py

tonymanpro/Python

f7072063004a71b0b7ea33e76df79c20cb8b803c

[ "MIT" ]

null

print("Fisrt Line!") print("Second Line!") print("Last Line!")

20.666667

21

0.677419

9

62

4.666667

0.555556

0.428571

0

0.080645

62

3

22

20.666667

0.736842

0

0.52381

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a14fb6f862609b88f93cd1ac48bf1da3cd700965

59

py

Python

bouncer/api/models/__init__.py

ikechuku/bouncer_rest_api

ca3f21a68c445fa3023168d2ecd3b38001554779

[ "MIT" ]

null

bouncer/api/models/__init__.py

ikechuku/bouncer_rest_api

ca3f21a68c445fa3023168d2ecd3b38001554779

[ "MIT" ]

null

bouncer/api/models/__init__.py

ikechuku/bouncer_rest_api

ca3f21a68c445fa3023168d2ecd3b38001554779

[ "MIT" ]

null

from .product import Product from .category import Category

29.5

30

0.847458

8

59

6.25

0.5

0

0.118644

59

2

30

29.5

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a15867d8ef0ac45cd6429a681793de2bed2a77fc

13,266

py

Python

python/tests/spatial_operator/test_join_query_correctness.py

Tianhao0916/CPT-581-Project-Sedona

a0ed49da0b62ce591d858e5dccd5cebb69a8e695

[ "Apache-2.0" ]

null

python/tests/spatial_operator/test_join_query_correctness.py

Tianhao0916/CPT-581-Project-Sedona

a0ed49da0b62ce591d858e5dccd5cebb69a8e695

[ "Apache-2.0" ]

null

python/tests/spatial_operator/test_join_query_correctness.py

Tianhao0916/CPT-581-Project-Sedona

a0ed49da0b62ce591d858e5dccd5cebb69a8e695

[ "Apache-2.0" ]

null

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from pyspark import StorageLevel from shapely.geometry import Point, Polygon, LineString from shapely.geometry.base import BaseGeometry from sedona.core.SpatialRDD import LineStringRDD, PolygonRDD, CircleRDD, PointRDD from sedona.core.SpatialRDD.spatial_rdd import SpatialRDD from sedona.core.enums import IndexType, GridType from sedona.core.serde.geom_factory import serializers from sedona.core.spatialOperator import JoinQuery from sedona.utils.spatial_rdd_parser import GeoData from tests.test_base import TestBase class TestJoinQueryCorrectness(TestBase): def test_initial(self): self.once_before_all() def test_inside_point_join_correctness(self): self.once_before_all() window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set)) object_rdd = PointRDD(self.sc.parallelize(self.test_inside_point_set)) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() self.verify_join_result(result) result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() self.verify_join_result(result_no_index) def test_on_boundary_point_join_correctness(self): window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = PointRDD(self.sc.parallelize(self.test_on_boundary_point_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() self.verify_join_result(result) result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() self.verify_join_result(result_no_index) def test_outside_point_join_correctness(self): self.once_before_all() window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = PointRDD(self.sc.parallelize(self.test_outside_point_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() assert 0 == result.__len__() result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() assert 0 == result_no_index.__len__() def test_inside_linestring_join_correctness(self): window_rdd = PolygonRDD( self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY ) object_rdd = LineStringRDD(self.sc.parallelize(self.test_inside_linestring_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() self.verify_join_result(result) result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() self.verify_join_result(result_no_index) def test_overlapped_linestring_join_correctness(self): window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = LineStringRDD(self.sc.parallelize(self.test_overlapped_linestring_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, True).collect() self.verify_join_result(result) result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, True).collect() self.verify_join_result(result_no_index) def test_outside_line_string_join_correctness(self): window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = LineStringRDD(self.sc.parallelize(self.test_outside_linestring_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() assert 0 == result.__len__() result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() assert 0 == result_no_index.__len__() def test_inside_polygon_join_correctness(self): window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = PolygonRDD(self.sc.parallelize(self.test_inside_polygon_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() self.verify_join_result(result) result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() self.verify_join_result(result_no_index) def test_overlapped_polygon_join_correctness(self): window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = PolygonRDD(self.sc.parallelize(self.test_overlapped_polygon_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, True).collect() self.verify_join_result(result) result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, True).collect() self.verify_join_result(result_no_index) def test_outside_polygon_join_correctness(self): window_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) object_rdd = PolygonRDD(self.sc.parallelize(self.test_outside_polygon_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, True, False).collect() assert 0 == result.__len__() result_no_index = JoinQuery.SpatialJoinQuery(object_rdd, window_rdd, False, False).collect() assert 0 == result_no_index.__len__() def test_inside_polygon_distance_join_correctness(self): center_geometry_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) window_rdd = CircleRDD(center_geometry_rdd, 0.1) object_rdd = PolygonRDD(self.sc.parallelize(self.test_inside_polygon_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, True, False).collect() self.verify_join_result(result) result_no_index = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, False, False).collect() self.verify_join_result(result_no_index) def test_overlapped_polygon_distance_join_correctness(self): center_geometry_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) window_rdd = CircleRDD(center_geometry_rdd, 0.1) object_rdd = PolygonRDD(self.sc.parallelize(self.test_overlapped_polygon_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, True, True).collect() self.verify_join_result(result) result_no_index = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, False, True).collect() self.verify_join_result(result_no_index) def test_outside_polygon_distance_join_correctness(self): center_geometry_rdd = PolygonRDD(self.sc.parallelize(self.test_polygon_window_set), StorageLevel.MEMORY_ONLY) window_rdd = CircleRDD(center_geometry_rdd, 0.1) object_rdd = PolygonRDD(self.sc.parallelize(self.test_outside_polygon_set), StorageLevel.MEMORY_ONLY) self.prepare_rdd(object_rdd, window_rdd, GridType.QUADTREE) result = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, True, True).collect() assert 0 == result.__len__() result_no_index = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, False, True).collect() assert 0 == result_no_index.__len__() def prepare_rdd(self, object_rdd: SpatialRDD, window_rdd: SpatialRDD, grid_type: GridType): object_rdd.analyze() window_rdd.analyze() object_rdd.rawSpatialRDD.repartition(4) object_rdd.spatialPartitioning(grid_type) object_rdd.buildIndex(IndexType.RTREE, True) window_rdd.spatialPartitioning(object_rdd.getPartitioner()) @classmethod def verify_join_result(cls, result): assert result.__len__() == 200 @classmethod def make_square(cls, minx: float, miny: float, side: float) -> Polygon: coordinates = [(minx, miny), (minx + side, miny), (minx + side, miny + side), (minx, miny + side)] polygon = Polygon(coordinates) return polygon @classmethod def make_square_line(cls, minx: float, miny: float, side: float): coordinates = [(minx, miny), (minx + side, miny), (minx + side, miny + side)] return LineString(coordinates) @classmethod def make_point(cls, x: float, y: float): return Point(x, y) @classmethod def wrap(cls, geom: BaseGeometry, user_data: str): return GeoData(geom=geom, userData=user_data, serde=serializers[cls.serializer_type]) @classmethod def once_before_all(cls): cls.test_polygon_window_set = [] cls.test_inside_polygon_set = [] cls.test_overlapped_polygon_set = [] cls.test_outside_polygon_set = [] cls.test_inside_linestring_set = [] cls.test_overlapped_linestring_set = [] cls.test_outside_linestring_set = [] cls.test_inside_point_set = [] cls.test_on_boundary_point_set = [] cls.test_outside_point_set = [] for base_x in range(0, 100, 10): for base_y in range(0, 100, 10): id = str(base_x) + ":" + str(base_y) a = "a:" + id b = "b:" + id cls.test_polygon_window_set.append(cls.wrap(cls.make_square(base_x, base_y, 5), a)) cls.test_polygon_window_set.append(cls.wrap(cls.make_square(base_x, base_y, 5), b)) cls.test_inside_polygon_set.append(cls.wrap(cls.make_square(base_x + 2, base_y + 2, 2), a)) cls.test_inside_polygon_set.append(cls.wrap(cls.make_square(base_x + 2, base_y + 2, 2), b)) cls.test_overlapped_polygon_set.append(cls.wrap(cls.make_square(base_x + 3, base_y + 3, 3), a)) cls.test_overlapped_polygon_set.append(cls.wrap(cls.make_square(base_x + 3, base_y + 3, 3), b)) cls.test_outside_polygon_set.append(cls.wrap(cls.make_square(base_x + 6, base_y + 6, 3), a)) cls.test_outside_polygon_set.append(cls.wrap(cls.make_square(base_x + 6, base_y + 6, 3), b)) cls.test_inside_linestring_set.append(cls.wrap(cls.make_square_line(base_x + 2, base_y + 2, 2), a)) cls.test_inside_linestring_set.append(cls.wrap(cls.make_square_line(base_x + 2, base_y + 2, 2), b)) cls.test_overlapped_linestring_set.append(cls.wrap(cls.make_square_line(base_x + 3, base_y + 3, 3), a)) cls.test_overlapped_linestring_set.append(cls.wrap(cls.make_square_line(base_x + 3, base_y + 3, 3), b)) cls.test_outside_linestring_set.append(cls.wrap(cls.make_square_line(base_x + 6, base_y + 6, 3), a)) cls.test_outside_linestring_set.append(cls.wrap(cls.make_square_line(base_x + 6, base_y + 6, 3), b)) cls.test_inside_point_set.append(cls.wrap(cls.make_point(base_x + 2.5, base_y + 2.5), a)) cls.test_inside_point_set.append(cls.wrap(cls.make_point(base_x + 2.5, base_y + 2.5), b)) cls.test_on_boundary_point_set.append(cls.wrap(cls.make_point(base_x + 5, base_y + 5), a)) cls.test_on_boundary_point_set.append(cls.wrap(cls.make_point(base_x + 5, base_y + 5), b)) cls.test_outside_point_set.append(cls.wrap(cls.make_point(base_x + 6, base_y + 6), a)) cls.test_outside_point_set.append(cls.wrap(cls.make_point(base_x + 6, base_y + 6), b))

51.023077

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0.72584

1,772

13,266

5.10553

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0.059688

0.071626

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0.757931

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51.220077

0.82155

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0.196629

0

null

0

1

0

null

0

5

a1a856b6220e094edcb28bff73cf2a32be3d3a37

195

py

Python

third_party/pytools/pytools/legacy/pytorch/__init__.py

Kipsora/docker-curator

46dc43861fe23b8e4429707adcf9978cfde27aa5

[ "MIT" ]

1

2020-07-26T14:26:18.000Z

third_party/pytools/pytools/legacy/pytorch/__init__.py

Kipsora/docker-curator

46dc43861fe23b8e4429707adcf9978cfde27aa5

[ "MIT" ]

null

third_party/pytools/pytools/legacy/pytorch/__init__.py

Kipsora/docker-curator

46dc43861fe23b8e4429707adcf9978cfde27aa5

[ "MIT" ]

null

from .curator import curator from .helpers import * from . import engines from . import datasets from . import networks from . import criterion from . import optimizers from . import schedulers

19.5

28

0.784615

25

195

6.12

0.4

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0.169231

195

9

29

21.666667

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true

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null

0

1

0

1

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5

a1b9f9a2a0a740ad0cd2c9939264b9ea1046edbf

125

py

Python

tests/prepare.py

yasfmy/attention_model

330c64878a783b2e294adb502a1eb030de346bf0

[ "MIT" ]

1

2016-11-09T13:38:52.000Z

tests/prepare.py

yasfmy/attention_model

330c64878a783b2e294adb502a1eb030de346bf0

[ "MIT" ]

null

tests/prepare.py

yasfmy/attention_model

330c64878a783b2e294adb502a1eb030de346bf0

[ "MIT" ]

null

import sys import os sys.path.append('..') sys.path.append('../lib/') path = os.path.dirname(__file__) sys.path.append(path)

17.857143

32

0.704

20

125

4.2

0.4

0.25

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0.08

125

6

33

20.833333

0.730435

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0.072

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null

1

0

1

0

null

0

1

0

5

a1f192362d87a3da879bdcfd9e6c5e1172537914

1,056

py

Python

abcd/abcd.py

aollio/toys

1f796f80dae022eee2db03f92b55fb3158c762fd

[ "MIT" ]

null

abcd/abcd.py

aollio/toys

1f796f80dae022eee2db03f92b55fb3158c762fd

[ "MIT" ]

null

abcd/abcd.py

aollio/toys

1f796f80dae022eee2db03f92b55fb3158c762fd

[ "MIT" ]

null

#!/usr/bin/env python3 import requests import json # text # 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 # window.serialNumber + "@" + window.seller) # C02SDDLEFVH3@yezi md5-> fb5832d83b3399a42cb50b8e1941641a if __name__ == '__main__': data = requests.get('http://password.aollio.com') accounts = json.loads(data.text) print(accounts)

66

750

0.892045

56

1,056

16.678571

0.875

0

0.127976

0.045455

1,056

15

751

70.4

0.798611

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0

0.194286

0

1

0

1

0

false

0.166667

0.333333

0

0.333333

0.166667

0

1

null

0

1

0

null

1

0

1

0

5

a1fe5abbf8978e066af3fafd884f1c1b81679d49

198

py

Python

examples/mailbox_api/app/routes.py

pussbb/pymaillib

002a916494591e31ec9a0c2dbef66427a72bc036

[ "WTFPL" ]

null

examples/mailbox_api/app/routes.py

pussbb/pymaillib

002a916494591e31ec9a0c2dbef66427a72bc036

[ "WTFPL" ]

null

examples/mailbox_api/app/routes.py

pussbb/pymaillib

002a916494591e31ec9a0c2dbef66427a72bc036

[ "WTFPL" ]

null

# -*- coding: utf-8 -*- """ """ from app.controller.mailbox import MailboxController from app.controller.welcome import WelcomeController WelcomeController.register() MailboxController.register()

19.8

52

0.777778

19

198

8.105263

0.631579

0.090909

0.220779

0

0.005587

0.09596

198

9

53

22

0.854749

0.106061

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

62b49657b1421093faa746f42a59b5e0d0420420

72

py

Python

simuvex/simuvex/s_errors.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

86

2015-08-06T23:25:07.000Z

2022-02-17T14:58:22.000Z

simuvex/simuvex/s_errors.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

132

2015-09-10T19:06:59.000Z

2018-10-04T20:36:45.000Z

simuvex/simuvex/s_errors.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

80

2015-08-07T10:30:20.000Z

2020-03-21T14:45:28.000Z

print '... Importing simuvex/s_errors.py ...' from angr.errors import *

24

45

0.708333

10

72

5

0.9

0

0.125

72

2

46

36

0.793651

0

0.513889

0

null

0

1

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

62e094c88794294f4716ac0e18ab63610a5e61b2

39

py

Python

Attendance/migrations/__init__.py

prtk1910/Attendance-System-Web

e391c29ccd79acbcc1be9c6f679c6a50cce05974

[ "MIT" ]

1

2019-02-11T12:43:18.000Z

Attendance/migrations/__init__.py

prtk1910/Attendance-System-Web

e391c29ccd79acbcc1be9c6f679c6a50cce05974

[ "MIT" ]

23

2018-12-22T21:15:55.000Z

2022-03-07T07:23:08.000Z

Attendance/migrations/__init__.py

prtk1910/Attendance-System-Web

e391c29ccd79acbcc1be9c6f679c6a50cce05974

[ "MIT" ]

16

2019-01-03T07:37:04.000Z

2020-10-25T10:55:07.000Z

#This is empty .py for initialisation

19.5

38

0.769231

6

39

5

1

0

0.179487

39

1

39

0.9375

0.923077

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

5

62e811446a7ce3c3bbb7b940f4440a66568ee0c0

234

py

Python

src/proto/__init__.py

joekottke/python-grpc-ssl

d05e60d6263f1b85f1434aec741b6934db902892

[ "MIT" ]

21

2018-12-07T11:30:30.000Z

2021-12-21T09:27:08.000Z

src/proto/__init__.py

rvpanchani/python-grpc-ssl

d05e60d6263f1b85f1434aec741b6934db902892

[ "MIT" ]

null

src/proto/__init__.py

rvpanchani/python-grpc-ssl

d05e60d6263f1b85f1434aec741b6934db902892

[ "MIT" ]

8

2018-06-30T01:02:23.000Z

2022-02-03T06:49:17.000Z

# Generated *pb2.py and *pb2_grpc.py files go here with the following command # run at the top level of the repo: # # python -m grpc_tools.protoc -I./protos --python_out=./src/proto --grpc_python_out=./src/proto/ ./protos/namer.proto

46.8

117

0.739316

41

234

4.097561

0.682927

0.107143

0.142857

0.202381

0

0.009804

0.128205

234

4

118

58.5

0.813725

0.961538

0

null

1

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

5

62fa442a64ae649c1f1d43802ecb78bdacdbb507

968

py

Python

python/pymei/Modules/__init__.py

Breakend/libmei

c031be79a2775e8bb9b47e1057e1398232d4b293

[ "MIT" ]

null

python/pymei/Modules/__init__.py

Breakend/libmei

c031be79a2775e8bb9b47e1057e1398232d4b293

[ "MIT" ]

null

python/pymei/Modules/__init__.py

Breakend/libmei

c031be79a2775e8bb9b47e1057e1398232d4b293

[ "MIT" ]

1

2021-02-23T21:13:47.000Z

__all__ = ["cmn", "cmnornaments", "corpus", "critapp", "edittrans", "facsimile", "figtable", "harmony", "header", "linkalign", "lyrics", "mensural", "midi", "namesdates", "neumes", "performance", "ptrref", "shared", "text", "usersymbols"] from pymei.Modules.cmn import * from pymei.Modules.cmnornaments import * from pymei.Modules.corpus import * from pymei.Modules.critapp import * from pymei.Modules.edittrans import * from pymei.Modules.facsimile import * from pymei.Modules.figtable import * from pymei.Modules.harmony import * from pymei.Modules.header import * from pymei.Modules.linkalign import * from pymei.Modules.lyrics import * from pymei.Modules.mensural import * from pymei.Modules.midi import * from pymei.Modules.namesdates import * from pymei.Modules.neumes import * from pymei.Modules.performance import * from pymei.Modules.ptrref import * from pymei.Modules.shared import * from pymei.Modules.text import * from pymei.Modules.usersymbols import *

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5

1a04d32cf057196716d736f7a0017d5316ed4738

5,991

py

Python

server/tests/api_stats_test.py

khoahoang1891999/website

abf5c31502eace8cb01ffda16ea7606572f55a98

[ "Apache-2.0" ]

null

server/tests/api_stats_test.py

khoahoang1891999/website

abf5c31502eace8cb01ffda16ea7606572f55a98

[ "Apache-2.0" ]

null

server/tests/api_stats_test.py

khoahoang1891999/website

abf5c31502eace8cb01ffda16ea7606572f55a98

[ "Apache-2.0" ]

null

import json import unittest from unittest import mock from main import app from services import datacommons as dc class TestApiGetStatsValue(unittest.TestCase): @mock.patch('services.datacommons.send_request') def test_api_get_stats_value(self, send_request): def side_effect(req_url, req_json={}, compress=False, post=True, has_payload=True): if req_url == dc.API_ROOT + "/stat/value" and req_json == { 'place': 'geoId/06', 'stat_var': 'Count_Person_Male', 'date': None, 'measurement_method': None, 'observation_period': None, 'unit': None, 'scaling_factor': None } and not post and not has_payload: return {'value': 19640794} send_request.side_effect = side_effect response = app.test_client().get( '/api/stats/value?place=geoId/06&stat_var=Count_Person_Male') assert response.status_code == 200 assert json.loads(response.data) == {"value": 19640794} class TestApiGetStatSetWithinPlace(unittest.TestCase): def test_required_predicates(self): """Failure if required fields are not present.""" no_parent_place = app.test_client().get( '/api/stats/within-place?child_type=City&stat_vars=Count_Person') assert no_parent_place.status_code == 400 no_child_type = app.test_client().get( '/api/stats/within-place?parent_place=country/USA&stat_vars=Count_Person' ) assert no_child_type.status_code == 400 no_stat_var = app.test_client().get( '/api/stats/within-place?parent_place=country/USA&child_type=City') assert no_stat_var.status_code == 400 @mock.patch('services.datacommons.send_request') def test_api_get_stats_set_within_place(self, send_request): result = { "data": { "Count_Person_Male": { "val": { "geoId/10001": 84271, "geoId/10003": 268870, "geoId/10005": 106429 }, "measurementMethod": "CensusACS5yrSurvey", "importName": "CensusACS5YearSurvey", "provenanceUrl": "https://www.census.gov/" }, "Count_Person": { "val": { "geoId/10001": 178540, "geoId/10003": 557550, "geoId/10005": 229389 }, "measurementMethod": "CensusPEPSurvey", "importName": "CensusPEP", "provenanceUrl": "https://www.census.gov/programs-surveys/popest.html" } } } def side_effect(req_url, req_json={}, compress=False, post=True, has_payload=True): if req_url == dc.API_ROOT + "/stat/set/within-place" and req_json == { 'parent_place': 'geoId/10', 'child_type': 'County', 'date': '2018', 'stat_vars': ['Count_Person', 'Count_Person_Male'] } and post and not has_payload: return result send_request.side_effect = side_effect response = app.test_client().get( '/api/stats/within-place?parent_place=geoId/10&child_type=County' '&date=2018&stat_vars=Count_Person&stat_vars=Count_Person_Male') assert response.status_code == 200 assert json.loads(response.data) == result['data'] @mock.patch('services.datacommons.send_request') def test_api_get_stat_set_within_place_no_date(self, send_request): result = { "data": { "Count_Person_Male": { "val": { "geoId/10001": 84271, "geoId/10003": 268870, "geoId/10005": 106429 }, "measurementMethod": "CensusACS5yrSurvey", "importName": "CensusACS5YearSurvey", "provenanceUrl": "https://www.census.gov/" }, "Count_Person": { "val": { "geoId/10001": 178540, "geoId/10003": 557550, "geoId/10005": 229389 }, "measurementMethod": "CensusPEPSurvey", "importName": "CensusPEP", "provenanceUrl": "https://www.census.gov/programs-surveys/popest.html" } } } def side_effect(req_url, req_json={}, compress=False, post=True, has_payload=True): print(req_url) print(req_json) if req_url == dc.API_ROOT + "/stat/set/within-place" and req_json == { 'parent_place': 'geoId/10', 'child_type': 'County', 'date': None, 'stat_vars': ['Count_Person', 'Count_Person_Male'] } and post and not has_payload: return result send_request.side_effect = side_effect response = app.test_client().get( '/api/stats/within-place?parent_place=geoId/10&child_type=County' '&stat_vars=Count_Person&stat_vars=Count_Person_Male') assert response.status_code == 200 assert json.loads(response.data) == result['data']

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0

null

0

1

0

null

0

5

c53d9078367be758432f7f074f45ca099ca999fa

273

py

Python

sample_config.py

HappyBoy05/TelegramFilestoCloud

7f577909f2f86fa2b2eb5a93c8c8244d1cad6773

[ "MIT" ]

37

2021-05-25T00:42:56.000Z

2022-01-06T06:37:50.000Z

sample_config.py

HappyBoy05/TelegramFilestoCloud

7f577909f2f86fa2b2eb5a93c8c8244d1cad6773

[ "MIT" ]

9

2021-06-05T16:21:26.000Z

2021-07-08T15:27:39.000Z

sample_config.py

HappyBoy05/TelegramFilestoCloud

7f577909f2f86fa2b2eb5a93c8c8244d1cad6773

[ "MIT" ]

45

2021-05-15T12:12:34.000Z

2022-03-13T11:52:06.000Z

class Config: BOT_USE = False BOT_TOKEN = '' # from @botfather APP_ID = # from https://my.telegram.org/apps API_HASH = '' # from https://my.telegram.org/apps AUTH_USERS = []

39

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0

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6

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0

1

0

1

0

null

0

1

0

5

c5557c725ab1e88199c7c09b2d9dd263abf84517

57

py

Python

quit.py

IshanGupta09/Face-Recognition-Attendance-System-by-Ishan

b41c09627c240552ef63ec1f1001a98f30d39955

[ "MIT" ]

2

2021-09-03T18:14:57.000Z

2021-09-19T17:54:27.000Z

quit.py

IshanGupta09/Face-Recognition-Attendance-System-by-Ishan

b41c09627c240552ef63ec1f1001a98f30d39955

[ "MIT" ]

null

quit.py

IshanGupta09/Face-Recognition-Attendance-System-by-Ishan

b41c09627c240552ef63ec1f1001a98f30d39955

[ "MIT" ]

null

import cv2 class release: cv2.destroyAllWindows()

7.125

25

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57

6.833333

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0.044444

0.210526

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7

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null

0

1

0

1

0

1

0

5

c5683d38f2fb052cb33bd5eb054edd85051e9239

207

py

Python

views/__init__.py

alvarofpp/ufrn-imd1155-brazil-air-traffic-network-analysis

41b9b24a238110c17c09e2a4e2df542c6bcbce1b

[ "MIT" ]

null

views/__init__.py

alvarofpp/ufrn-imd1155-brazil-air-traffic-network-analysis

41b9b24a238110c17c09e2a4e2df542c6bcbce1b

[ "MIT" ]

null

views/__init__.py

alvarofpp/ufrn-imd1155-brazil-air-traffic-network-analysis

41b9b24a238110c17c09e2a4e2df542c6bcbce1b

[ "MIT" ]

null

from .AirportsView import AirportsView from .CoreDecompositionView import CoreDecompositionView from .GraphView import GraphView from .IntroView import IntroView from .NodeRankingView import NodeRankingView

34.5

56

0.879227

20

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9.1

0.35

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0.096618

207

5

57

41.4

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true

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1

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1

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1

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null

0

1

0

1

0

1

0

5

3d717df2203884078f0e69929fe5098010412cf4

81

py

Python

pipert/utils/visualizer/__init__.py

rotemtzaban/PipeRT

19969056ed392c8783e11b192f7789bfcfe1450a

[ "MIT" ]

10

2020-01-20T16:00:55.000Z

2020-05-13T12:48:40.000Z

pipert/utils/visualizer/__init__.py

rotemtzaban/PipeRT

19969056ed392c8783e11b192f7789bfcfe1450a

[ "MIT" ]

97

2020-01-11T22:05:50.000Z

2020-06-25T13:43:13.000Z

pipert/utils/visualizer/__init__.py

rotemtzaban/PipeRT

19969056ed392c8783e11b192f7789bfcfe1450a

[ "MIT" ]

8

2020-01-14T20:54:19.000Z

2020-04-07T22:59:17.000Z

from .visualizer import Visualizer from .video_visualizer import VideoVisualizer

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45

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null

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1

0

1

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5

3dadf13f8a60429390b03a60d99c7e3b147fdea0

299

py

Python

{{cookiecutter.first_app}}/models.py

nyimbi/ultimate

6334965faf86d9fa16ffef3f2e85177cb7d8a8a1

[ "BSD-3-Clause" ]

1

2018-04-06T10:25:38.000Z

{{cookiecutter.first_app}}/models.py

nyimbi/ultimate

6334965faf86d9fa16ffef3f2e85177cb7d8a8a1

[ "BSD-3-Clause" ]

null

{{cookiecutter.first_app}}/models.py

nyimbi/ultimate

6334965faf86d9fa16ffef3f2e85177cb7d8a8a1

[ "BSD-3-Clause" ]

null

# coding: utf-8 from django.db import models from . import managers # class MasterPlan(models.Model): # name = models.CharField(max_length=100) # other_name = models.CharField(max_length=200) # test_entry = models.FileField() # # # def __str__(self): # return self.name

17.588235

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1

0

1

0

1

0

5

9a7eb4287bf11a667871993d28186c26bffc25de

98

py

Python

Uche Clare/Phase 1/Python Basic 1/Day 11/Task 96.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Uche Clare/Phase 1/Python Basic 1/Day 11/Task 96.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Uche Clare/Phase 1/Python Basic 1/Day 11/Task 96.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

import traceback def t_b(): return abc() def abc(): traceback.print_stack() t_b() print()

12.25

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15

98

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0

0.193878

98

8

28

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0.772152

0

1

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true

0

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1

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null

0

1

0

null

0

1

0

1

0

5

9a87a3f1fc63a1db1fe78038b252a4824bfebb97

495

py

Python

period_iterator/tests/test_period_timezone.py

chonla/period-iterator

13b3a85174cb2c9827db75ccf032f6cc015c4773

[ "MIT" ]

null

period_iterator/tests/test_period_timezone.py

chonla/period-iterator

13b3a85174cb2c9827db75ccf032f6cc015c4773

[ "MIT" ]

null

period_iterator/tests/test_period_timezone.py

chonla/period-iterator

13b3a85174cb2c9827db75ccf032f6cc015c4773

[ "MIT" ]

null

from ..period_timezone import period_timezone class test_period_timezone(): def test_period_timezone_format_2_positive_digits(self): tzfmt = period_timezone() assert tzfmt.format('+07') == '+07:00' def test_period_timezone_format_2_negative_digits(self): tzfmt = period_timezone() assert tzfmt.format('-07') == '-07:00' def test_period_timezone_format_default(self): tzfmt = period_timezone() assert tzfmt.format('-07aa') == '-07aa'

35.357143

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null

0

1

0

5

9a933e0d8e4eacb53ccb85fa930447db993b1313

9,241

py

Python

tests/managers/event_log_tests.py

erick-sapp/softlayer-python

c0553f41ffcb27d899065a6ebe225392e690aed5

[ "MIT" ]

null

tests/managers/event_log_tests.py

erick-sapp/softlayer-python

c0553f41ffcb27d899065a6ebe225392e690aed5

[ "MIT" ]

2

2019-02-18T18:35:51.000Z

2019-06-30T15:36:44.000Z

tests/managers/event_log_tests.py

erick-sapp/softlayer-python

c0553f41ffcb27d899065a6ebe225392e690aed5

[ "MIT" ]

null

""" SoftLayer.tests.managers.event_log_tests ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :license: MIT, see LICENSE for more details. """ import SoftLayer from SoftLayer import fixtures from SoftLayer import testing class EventLogTests(testing.TestCase): def set_up(self): self.event_log = SoftLayer.EventLogManager(self.client) def test_get_event_logs(self): result = self.event_log.get_event_logs(None) expected = fixtures.SoftLayer_Event_Log.getAllObjects self.assertEqual(expected, result) def test_get_event_log_types(self): result = self.event_log.get_event_log_types() expected = fixtures.SoftLayer_Event_Log.getAllEventObjectNames self.assertEqual(expected, result) def test_get_event_logs_by_type(self): expected = [ { 'accountId': 100, 'eventCreateDate': '2017-10-23T14:22:36.221541-05:00', 'eventName': 'Disable Port', 'ipAddress': '192.168.0.1', 'label': 'test.softlayer.com', 'metaData': '', 'objectId': 300, 'objectName': 'CCI', 'traceId': '100', 'userId': '', 'userType': 'SYSTEM' } ] mock = self.set_mock('SoftLayer_Event_Log', 'getAllObjects') mock.return_value = expected result = self.event_log.get_event_logs_by_type('CCI') self.assertEqual(expected, result) def test_get_event_logs_by_event_name(self): expected = [ { 'accountId': 100, 'eventCreateDate': '2017-10-18T09:40:32.238869-05:00', 'eventName': 'Security Group Added', 'ipAddress': '192.168.0.1', 'label': 'test.softlayer.com', 'metaData': '{"securityGroupId":"200",' '"securityGroupName":"test_SG",' '"networkComponentId":"100",' '"networkInterfaceType":"public",' '"requestId":"96c9b47b9e102d2e1d81fba"}', 'objectId': 300, 'objectName': 'CCI', 'traceId': '59e767e03a57e', 'userId': 400, 'userType': 'CUSTOMER', 'username': 'user' } ] mock = self.set_mock('SoftLayer_Event_Log', 'getAllObjects') mock.return_value = expected result = self.event_log.get_event_logs_by_event_name('Security Group Added') self.assertEqual(expected, result) def test_build_filter_no_args(self): result = self.event_log.build_filter(None, None, None, None, None, None) self.assertEqual(result, None) def test_build_filter_min_date(self): expected = { 'eventCreateDate': { 'operation': 'greaterThanDate', 'options': [ { 'name': 'date', 'value': [ '2017-10-30T00:00:00.000000+00:00' ] } ] } } result = self.event_log.build_filter('10/30/2017', None, None, None, None, None) self.assertEqual(expected, result) def test_build_filter_max_date(self): expected = { 'eventCreateDate': { 'operation': 'lessThanDate', 'options': [ { 'name': 'date', 'value': [ '2017-10-31T00:00:00.000000+00:00' ] } ] } } result = self.event_log.build_filter(None, '10/31/2017', None, None, None, None) self.assertEqual(expected, result) def test_build_filter_min_max_date(self): expected = { 'eventCreateDate': { 'operation': 'betweenDate', 'options': [ { 'name': 'startDate', 'value': [ '2017-10-30T00:00:00.000000+00:00' ] }, { 'name': 'endDate', 'value': [ '2017-10-31T00:00:00.000000+00:00' ] } ] } } result = self.event_log.build_filter('10/30/2017', '10/31/2017', None, None, None, None) self.assertEqual(expected, result) def test_build_filter_min_date_pos_utc(self): expected = { 'eventCreateDate': { 'operation': 'greaterThanDate', 'options': [ { 'name': 'date', 'value': [ '2017-10-30T00:00:00.000000+05:00' ] } ] } } result = self.event_log.build_filter('10/30/2017', None, None, None, None, '+0500') self.assertEqual(expected, result) def test_build_filter_max_date_pos_utc(self): expected = { 'eventCreateDate': { 'operation': 'lessThanDate', 'options': [ { 'name': 'date', 'value': [ '2017-10-31T00:00:00.000000+05:00' ] } ] } } result = self.event_log.build_filter(None, '10/31/2017', None, None, None, '+0500') self.assertEqual(expected, result) def test_build_filter_min_max_date_pos_utc(self): expected = { 'eventCreateDate': { 'operation': 'betweenDate', 'options': [ { 'name': 'startDate', 'value': [ '2017-10-30T00:00:00.000000+05:00' ] }, { 'name': 'endDate', 'value': [ '2017-10-31T00:00:00.000000+05:00' ] } ] } } result = self.event_log.build_filter('10/30/2017', '10/31/2017', None, None, None, '+0500') self.assertEqual(expected, result) def test_build_filter_min_date_neg_utc(self): expected = { 'eventCreateDate': { 'operation': 'greaterThanDate', 'options': [ { 'name': 'date', 'value': [ '2017-10-30T00:00:00.000000-03:00' ] } ] } } result = self.event_log.build_filter('10/30/2017', None, None, None, None, '-0300') self.assertEqual(expected, result) def test_build_filter_max_date_neg_utc(self): expected = { 'eventCreateDate': { 'operation': 'lessThanDate', 'options': [ { 'name': 'date', 'value': [ '2017-10-31T00:00:00.000000-03:00' ] } ] } } result = self.event_log.build_filter(None, '10/31/2017', None, None, None, '-0300') self.assertEqual(expected, result) def test_build_filter_min_max_date_neg_utc(self): expected = { 'eventCreateDate': { 'operation': 'betweenDate', 'options': [ { 'name': 'startDate', 'value': [ '2017-10-30T00:00:00.000000-03:00' ] }, { 'name': 'endDate', 'value': [ '2017-10-31T00:00:00.000000-03:00' ] } ] } } result = self.event_log.build_filter('10/30/2017', '10/31/2017', None, None, None, '-0300') self.assertEqual(expected, result) def test_build_filter_name(self): expected = {'eventName': {'operation': 'Add Security Group'}} result = self.event_log.build_filter(None, None, 'Add Security Group', None, None, None) self.assertEqual(expected, result) def test_build_filter_id(self): expected = {'objectId': {'operation': 1}} result = self.event_log.build_filter(None, None, None, 1, None, None) self.assertEqual(expected, result) def test_build_filter_type(self): expected = {'objectName': {'operation': 'CCI'}} result = self.event_log.build_filter(None, None, None, None, 'CCI', None) self.assertEqual(expected, result)

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9ae3630e94c70fa648a6bdca1e704c880394baca

67

py

Python

src/meltano/core/job/__init__.py

siilats/meltano

404605c83f441c3fc2b729e26416c6caa8b0ed0b

[ "MIT" ]

122

2021-06-21T17:30:29.000Z

2022-03-25T06:21:38.000Z

src/meltano/core/job/__init__.py

siilats/meltano

404605c83f441c3fc2b729e26416c6caa8b0ed0b

[ "MIT" ]

null

src/meltano/core/job/__init__.py

siilats/meltano

404605c83f441c3fc2b729e26416c6caa8b0ed0b

[ "MIT" ]

21

2021-06-22T10:08:15.000Z

2022-03-18T08:57:02.000Z

from .finder import JobFinder from .job import Job, Payload, State

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97

py

Python

kpruss/__init__.py

kprussing/kpruss

b9c196490fecc02ed6467d96327e5ae96dccf808

[ "BSD-2-Clause" ]

null

kpruss/__init__.py

kprussing/kpruss

b9c196490fecc02ed6467d96327e5ae96dccf808

[ "BSD-2-Clause" ]

null

kpruss/__init__.py

kprussing/kpruss

b9c196490fecc02ed6467d96327e5ae96dccf808

[ "BSD-2-Clause" ]

null

import pathlib def setup(app): app.add_html_theme("kpruss", pathlib.Path(__file__).parent)

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b162c75fb0ffdfa03755889a143b36e915f49a17

840

py

Python

src/dimstore/providers/meta_manager/meta_manager_base.py

neoworth/dimstore

d00243f7af4759f3a1d90e68325172330c649f20

[ "MIT" ]

4

2020-05-01T15:50:11.000Z

2021-04-15T17:52:42.000Z

src/dimstore/providers/meta_manager/meta_manager_base.py

neoworth/dimstore

d00243f7af4759f3a1d90e68325172330c649f20

[ "MIT" ]

null

src/dimstore/providers/meta_manager/meta_manager_base.py

neoworth/dimstore

d00243f7af4759f3a1d90e68325172330c649f20

[ "MIT" ]

1

2021-05-12T17:46:48.000Z

""" base class of meta manager class """ class MetaManagerBase(): def __init__(self, config): pass def register(self, feature): raise NotImplementedError('Meta Manager register method implementation error!') def lookup(self, name, namespace='default', **kwargs): raise NotImplementedError('Meta Manager lookup method implementation error!') def list_features(self, namespace='default', match_child=True, **kwargs): raise NotImplementedError('Meta Manager list_features method implementation error!') def inspect_feature(self, uid, **kwargs): raise NotImplementedError('Meta Manager inspect_feature method implementation error!') def remove_feature(self, uid, **kwargs): raise NotImplementedError('Meta Manager remove_feature method implementation error!')

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1

0

1

0

5

b1754aa1f57bb5ce1c73677a1a820f6ff02c3a89

141

py

Python

py/calc_vheight.py

Shirling-VT/Tdiff_Validation

a19c5c8b62b09d0cd60749154c4d744f1f56dfeb

[ "MIT" ]

null

py/calc_vheight.py

Shirling-VT/Tdiff_Validation

a19c5c8b62b09d0cd60749154c4d744f1f56dfeb

[ "MIT" ]

null

py/calc_vheight.py

Shirling-VT/Tdiff_Validation

a19c5c8b62b09d0cd60749154c4d744f1f56dfeb

[ "MIT" ]

null

""" calc_vheight.py ============== Author: S. Chakraborty This file is a v_Height estimator """ def calculate_vHeight(): return

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5

490d23b61d62df0daf939b6a6d613f5cf804550c

20,600

py

Python

himalaya/kernel_ridge/tests/test_sklearn_api_kernel.py

mvdoc/himalaya

7e3866287b835e2cc0a5c9848331e19c14896309

[ "BSD-3-Clause" ]

29

2021-09-14T14:55:26.000Z

2022-03-27T22:32:56.000Z

himalaya/kernel_ridge/tests/test_sklearn_api_kernel.py

mvdoc/himalaya

7e3866287b835e2cc0a5c9848331e19c14896309

[ "BSD-3-Clause" ]

15

2021-11-11T03:55:11.000Z

2022-03-11T20:20:37.000Z

himalaya/kernel_ridge/tests/test_sklearn_api_kernel.py

mvdoc/himalaya

7e3866287b835e2cc0a5c9848331e19c14896309

[ "BSD-3-Clause" ]

3

2021-09-13T19:10:54.000Z

2022-02-10T17:56:42.000Z

import warnings import pytest import sklearn.kernel_ridge import sklearn.utils.estimator_checks from himalaya.backend import set_backend from himalaya.backend import get_backend from himalaya.backend import ALL_BACKENDS from himalaya.utils import assert_array_almost_equal from himalaya.ridge import Ridge from himalaya.ridge import RidgeCV from himalaya.kernel_ridge import KernelRidge from himalaya.kernel_ridge import KernelRidgeCV from himalaya.kernel_ridge import MultipleKernelRidgeCV from himalaya.kernel_ridge import WeightedKernelRidge def _create_dataset(backend): n_samples, n_targets = 30, 3 Xs = [ backend.asarray(backend.randn(n_samples, n_features), backend.float64) for n_features in [100, 200] ] Ks = backend.stack([backend.matmul(X, X.T) for X in Xs]) Y = backend.asarray(backend.randn(n_samples, n_targets), backend.float64) return Xs, Ks, Y @pytest.mark.parametrize('kernel', [ 'linear', 'polynomial', 'poly', 'rbf', 'sigmoid', 'cosine', 'precomputed' ]) @pytest.mark.parametrize('multitarget', [True, False]) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_vs_scikit_learn(backend, multitarget, kernel): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) if not multitarget: Y = Y[:, 0] if kernel == "precomputed": X = Ks[0] else: X = Xs[0] for alpha in backend.asarray_like(backend.logspace(0, 3, 7), Ks): model = KernelRidge(alpha=alpha, kernel=kernel) model.fit(X, Y) reference = sklearn.kernel_ridge.KernelRidge( alpha=backend.to_numpy(alpha), kernel=kernel) reference.fit(backend.to_numpy(X), backend.to_numpy(Y)) assert model.dual_coef_.shape == Y.shape assert_array_almost_equal(model.dual_coef_, reference.dual_coef_) assert_array_almost_equal(model.predict(X), reference.predict(backend.to_numpy(X))) assert_array_almost_equal( model.score(X, Y).mean(), reference.score(backend.to_numpy(X), backend.to_numpy(Y))) @pytest.mark.parametrize('fit_intercept', [False, True]) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_vs_ridge(backend, fit_intercept): # useful to test the intercept as well backend = set_backend(backend) Xs, _, Y = _create_dataset(backend) X = Xs[0] if fit_intercept: Y += 10 X += 1 # torch with cuda has more limited precision in mean decimal = 3 if backend.name == "torch_cuda" else 6 for alpha in backend.asarray_like(backend.logspace(0, 3, 7), X): model = KernelRidge(alpha=alpha, fit_intercept=fit_intercept) model.fit(X, Y) reference = Ridge(alpha=alpha, fit_intercept=fit_intercept) reference.fit(backend.to_numpy(X), backend.to_numpy(Y)) assert_array_almost_equal(model.predict(X), reference.predict(X), decimal=decimal) @pytest.mark.parametrize('fit_intercept', [False, True]) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_cv_vs_ridge_cv(backend, fit_intercept): # useful to test the intercept as well backend = set_backend(backend) Xs, _, Y = _create_dataset(backend) X = Xs[0] if fit_intercept: Y += 10 Xs[0] += 1 alphas = backend.asarray_like(backend.logspace(-2, 3, 21), Y) # XXX # torch with cuda has more limited precision in mean decimal = 4 if backend.name == "torch_cuda" else 6 model = KernelRidgeCV(alphas=alphas, fit_intercept=fit_intercept) model.fit(X, Y) reference = RidgeCV(alphas=alphas, fit_intercept=fit_intercept) reference.fit(X, Y) assert_array_almost_equal(model.best_alphas_, reference.best_alphas_, decimal=5) assert_array_almost_equal(model.predict(X), reference.predict(X), decimal=decimal) @pytest.mark.parametrize( 'kernel', ['linear', 'polynomial', 'poly', 'rbf', 'sigmoid', 'cosine']) @pytest.mark.parametrize('format', ['coo', 'csr', 'csc']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_vs_scikit_learn_sparse(backend, kernel, format): backend = set_backend(backend) Xs, _, Y = _create_dataset(backend) try: import scipy.sparse except ImportError: pytest.skip("Scipy is not installed.") with warnings.catch_warnings(): warnings.simplefilter('ignore', scipy.sparse.SparseEfficiencyWarning) X = scipy.sparse.rand(*Xs[0].shape, density=0.1, format=format) for alpha in backend.asarray_like(backend.logspace(0, 3, 7), Y): model = KernelRidge(alpha=alpha, kernel=kernel) model.fit(X, Y) reference = sklearn.kernel_ridge.KernelRidge( alpha=backend.to_numpy(alpha), kernel=kernel) reference.fit(X, backend.to_numpy(Y)) assert model.dual_coef_.shape == Y.shape assert_array_almost_equal(model.dual_coef_, reference.dual_coef_) assert_array_almost_equal(model.predict(X), reference.predict(X)) assert_array_almost_equal( model.score(X, Y).mean(), reference.score(X, backend.to_numpy(Y))) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_precomputed(backend): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) for alpha in backend.asarray_like(backend.logspace(-2, 3, 7), Ks): model_1 = KernelRidge(alpha=alpha, kernel="linear") model_1.fit(Xs[0], Y) model_2 = KernelRidge(alpha=alpha, kernel="precomputed") model_2.fit(Ks[0], Y) assert_array_almost_equal(model_1.dual_coef_, model_2.dual_coef_) assert_array_almost_equal(model_1.predict(Xs[0]), model_2.predict(Ks[0])) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_get_primal_coef(backend): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) model = KernelRidge(kernel="linear") model.fit(Xs[0], Y) primal_coef = model.get_primal_coef() predictions_primal = Xs[0] @ backend.asarray(primal_coef) predictions_dual = model.predict(Xs[0]) assert_array_almost_equal(predictions_primal, predictions_dual) model = KernelRidge(kernel="precomputed") model.fit(Ks[0], Y) primal_coef = model.get_primal_coef(X_fit=Xs[0]) predictions_primal = Xs[0] @ backend.asarray(primal_coef) predictions_dual = model.predict(Ks[0]) assert_array_almost_equal(predictions_primal, predictions_dual) model = KernelRidge(kernel="precomputed") model.fit(Ks[0], Y) with pytest.raises(ValueError): model.get_primal_coef(X_fit=None) model = KernelRidge(kernel="poly") model.fit(Xs[0], Y) with pytest.raises(ValueError): model.get_primal_coef() @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_weighted_kernel_ridge_get_primal_coef(backend): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) model = WeightedKernelRidge(kernels="precomputed") model.fit(Ks, Y) with pytest.raises(ValueError): primal_coef = model.get_primal_coef(Xs_fit=None) primal_coef = model.get_primal_coef(Xs_fit=Xs) predictions_primal = backend.stack( [X @ backend.asarray(w) for X, w in zip(Xs, primal_coef)]).sum(0) predictions_dual = model.predict(Ks) assert_array_almost_equal(predictions_primal, predictions_dual) @pytest.mark.parametrize( 'solver', ['eigenvalues', 'conjugate_gradient', 'gradient_descent']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_solvers(solver, backend): backend = set_backend(backend) Xs, _, Y = _create_dataset(backend) kernel = "linear" X = Xs[0] if solver == "eigenvalues": solver_params = dict() elif solver == "conjugate_gradient": solver_params = dict(max_iter=300, tol=1e-6) elif solver == "gradient_descent": solver_params = dict(max_iter=300, tol=1e-6) for alpha in backend.asarray_like(backend.logspace(0, 3, 7), Y): model = KernelRidge(alpha=alpha, kernel=kernel, solver=solver, solver_params=solver_params) model.fit(X, Y) reference = sklearn.kernel_ridge.KernelRidge( alpha=backend.to_numpy(alpha), kernel=kernel) reference.fit(backend.to_numpy(X), backend.to_numpy(Y)) assert model.dual_coef_.shape == Y.shape assert_array_almost_equal(model.dual_coef_, reference.dual_coef_) assert_array_almost_equal(model.predict(X), reference.predict(backend.to_numpy(X)), decimal=5) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_wrong_solver(backend): backend = set_backend(backend) Xs, _, Y = _create_dataset(backend) X = Xs[0] model = KernelRidge(solver="wrong") with pytest.raises(ValueError, match="Unknown solver"): model.fit(X, Y) @pytest.mark.parametrize('solver', ['eigenvalues']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_cv_precomputed(backend, solver): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) model_1 = KernelRidgeCV(kernel="linear") model_1.fit(Xs[0], Y) model_2 = KernelRidgeCV(kernel="precomputed") model_2.fit(Ks[0], Y) assert_array_almost_equal(model_1.dual_coef_, model_2.dual_coef_) assert_array_almost_equal(model_1.predict(Xs[0]), model_2.predict(Ks[0])) @pytest.mark.parametrize('solver', ['random_search', 'hyper_gradient']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_multiple_kernel_ridge_cv_precomputed(backend, solver): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) if solver == "random_search": kwargs = dict(solver="random_search", random_state=0, solver_params=dict(n_iter=2, progress_bar=False)) elif solver == "hyper_gradient": kwargs = dict(solver="hyper_gradient", random_state=0, solver_params=dict(max_iter=2, progress_bar=False)) model_1 = MultipleKernelRidgeCV(kernels=["linear"], **kwargs) model_1.fit(Xs[0], Y) model_2 = MultipleKernelRidgeCV(kernels="precomputed", **kwargs) model_2.fit(Ks[0][None], Y) assert_array_almost_equal(model_1.dual_coef_, model_2.dual_coef_) assert_array_almost_equal(model_1.predict(Xs[0]), model_2.predict(Ks[0][None])) @pytest.mark.parametrize('solver', ['conjugate_gradient', 'gradient_descent']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_weighted_kernel_ridge_precomputed(backend, solver): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) model_1 = WeightedKernelRidge(kernels=["linear"]) model_1.fit(Xs[0], Y) model_2 = WeightedKernelRidge(kernels="precomputed") model_2.fit(Ks[0][None], Y) assert_array_almost_equal(model_1.dual_coef_, model_2.dual_coef_) assert_array_almost_equal(model_1.predict(Xs[0]), model_2.predict(Ks[0][None])) @pytest.mark.parametrize('Estimator', [WeightedKernelRidge, MultipleKernelRidgeCV]) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_weighted_kernel_ridge_split_predict(backend, Estimator): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) # multiple targets model = Estimator(kernels="precomputed") model.fit(Ks, Y) Y_pred = model.predict(Ks) Y_pred_split = model.predict(Ks, split=True) assert Y_pred.shape == Y.shape assert_array_almost_equal(Y_pred, Y_pred_split.sum(0)) # single targets model = Estimator(kernels="precomputed") model.fit(Ks, Y[:, 0]) Y_pred = model.predict(Ks) Y_pred_split = model.predict(Ks, split=True) assert Y_pred.shape == Y[:, 0].shape assert_array_almost_equal(Y_pred, Y_pred_split.sum(0)) @pytest.mark.parametrize('Estimator', [WeightedKernelRidge, MultipleKernelRidgeCV]) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_weighted_kernel_ridge_split_score(backend, Estimator): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) if issubclass(Estimator, MultipleKernelRidgeCV): solver_params = dict(n_iter=2, progress_bar=False) else: solver_params = dict() # multiple targets model = Estimator(kernels="precomputed", solver_params=solver_params) model.fit(Ks, Y) score = model.score(Ks, Y) score_split = model.score(Ks, Y, split=True) assert score_split.shape == (len(Ks), Y.shape[1]) assert_array_almost_equal(score, score_split.sum(0), decimal=4) # single targets model = Estimator(kernels="precomputed", solver_params=solver_params) model.fit(Ks, Y[:, 0]) score = model.score(Ks, Y[:, 0]) score_split = model.score(Ks, Y[:, 0], split=True) assert score_split.shape == (len(Ks), ) assert_array_almost_equal(score, score_split.sum(0), decimal=4) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_duplicate_solver_parameters(backend): backend = set_backend(backend) Xs, _, Y = _create_dataset(backend) model = KernelRidge(solver_params=dict(alpha=1)) with pytest.raises(ValueError): model.fit(Xs[0], Y) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_cv_predict(backend): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) n_iter = backend.ones_like(Ks, shape=(1, Ks.shape[0])) alphas = backend.logspace(1, 2, 3) model_0 = KernelRidgeCV(kernel="precomputed", alphas=alphas).fit(Ks.sum(0), Y) model_1 = MultipleKernelRidgeCV( kernels="precomputed", solver_params=dict(n_iter=n_iter, alphas=alphas)).fit(Ks, Y) assert_array_almost_equal(model_0.predict(Ks.sum(0)), model_1.predict(Ks)) @pytest.mark.parametrize('solver', ['eigenvalues']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_kernel_ridge_cv_Y_in_cpu(backend, solver): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) model_1 = KernelRidgeCV(solver=solver, Y_in_cpu=True) model_1.fit(Xs[0], Y) model_2 = KernelRidgeCV(solver=solver, Y_in_cpu=False) model_2.fit(Xs[0], Y) assert_array_almost_equal(model_1.dual_coef_, model_2.dual_coef_) assert_array_almost_equal(model_1.predict(Xs[0]), model_2.predict(Xs[0])) @pytest.mark.parametrize('solver', ['random_search', 'hyper_gradient']) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_multiple_kernel_ridge_cv_Y_in_cpu(backend, solver): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) model_1 = MultipleKernelRidgeCV(kernels="precomputed", solver=solver, Y_in_cpu=True, random_state=0) model_1.fit(Ks, Y) model_2 = MultipleKernelRidgeCV(kernels="precomputed", solver=solver, Y_in_cpu=False, random_state=0) model_2.fit(Ks, Y) assert_array_almost_equal(model_1.dual_coef_, model_2.dual_coef_) assert_array_almost_equal(model_1.predict(Ks), model_2.predict(Ks)) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_weighted_kernel_ridge_cv_array_deltas(backend): backend = set_backend(backend) Xs, Ks, Y = _create_dataset(backend) # correct deltas array deltas = backend.zeros_like(Ks, shape=(len(Ks), )) model_1 = WeightedKernelRidge(kernels="precomputed", deltas=deltas, random_state=0) model_1.fit(Ks, Y) # wrong number of kernels deltas = backend.zeros_like(Ks, shape=(len(Ks) + 1, )) model_1 = WeightedKernelRidge(kernels="precomputed", deltas=deltas, random_state=0) with pytest.raises(ValueError, match="Inconsistent number of kernels"): model_1.fit(Ks, Y) # wrong number of targets deltas = backend.zeros_like(Ks, shape=(len(Ks), Y.shape[1] + 1)) model_1 = WeightedKernelRidge(kernels="precomputed", deltas=deltas, random_state=0) with pytest.raises(ValueError, match="Inconsistent number of targets"): model_1.fit(Ks, Y) ############################################################################### ############################################################################### ############################################################################### # scikit-learn.utils.estimator_checks class KernelRidge_(KernelRidge): """Cast predictions to numpy arrays, to be used in scikit-learn tests. Used for testing only. """ def predict(self, X): backend = get_backend() return backend.to_numpy(super().predict(X)) def score(self, X, y): from himalaya.validation import check_array from himalaya.scoring import r2_score backend = get_backend() y_pred = super().predict(X) y_true = check_array(y, dtype=self.dtype_, ndim=self.dual_coef_.ndim) if y_true.ndim == 1: return backend.to_numpy( r2_score(y_true[:, None], y_pred[:, None])[0]) else: return backend.to_numpy(r2_score(y_true, y_pred)) class KernelRidgeCV_(KernelRidgeCV): """Cast predictions to numpy arrays, to be used in scikit-learn tests. Used for testing only. """ def __init__(self, alphas=(0.1, 1), kernel="linear", kernel_params=None, solver="eigenvalues", solver_params=None, cv=2): super().__init__(alphas=alphas, kernel=kernel, kernel_params=kernel_params, solver=solver, solver_params=solver_params, cv=cv) def predict(self, X): backend = get_backend() return backend.to_numpy(super().predict(X)) def score(self, X, y): from himalaya.validation import check_array from himalaya.scoring import r2_score backend = get_backend() y_pred = super().predict(X) y_true = check_array(y, dtype=self.dtype_, ndim=self.dual_coef_.ndim) if y_true.ndim == 1: return backend.to_numpy( r2_score(y_true[:, None], y_pred[:, None])[0]) else: return backend.to_numpy(r2_score(y_true, y_pred)) class MultipleKernelRidgeCV_(MultipleKernelRidgeCV): """Cast predictions to numpy arrays, to be used in scikit-learn tests. Used for testing only. """ def __init__(self, kernels=("linear", "polynomial"), kernels_params=None, solver="hyper_gradient", solver_params=None, cv=2, random_state=None): super().__init__(kernels=kernels, kernels_params=kernels_params, solver=solver, solver_params=solver_params, cv=cv, random_state=random_state) def predict(self, X, split=False): backend = get_backend() return backend.to_numpy(super().predict(X, split=split)) def score(self, X, y, split=False): backend = get_backend() return backend.to_numpy(super().score(X, y, split=split)) class WeightedKernelRidge_(WeightedKernelRidge): """Cast predictions to numpy arrays, to be used in scikit-learn tests. Used for testing only. """ def __init__(self, alpha=1., deltas="zeros", kernels=("linear", "polynomial"), kernels_params=None, solver="conjugate_gradient", solver_params=None, random_state=None): super().__init__(alpha=alpha, deltas=deltas, kernels=kernels, kernels_params=kernels_params, solver=solver, solver_params=solver_params, random_state=random_state) def predict(self, X, split=False): backend = get_backend() return backend.to_numpy(super().predict(X, split=split)) def score(self, X, y, split=False): backend = get_backend() return backend.to_numpy(super().score(X, y, split=split)) @sklearn.utils.estimator_checks.parametrize_with_checks([ KernelRidge_(), KernelRidgeCV_(), MultipleKernelRidgeCV_(), WeightedKernelRidge_(), ]) @pytest.mark.parametrize('backend', ALL_BACKENDS) def test_check_estimator(estimator, check, backend): backend = set_backend(backend) check(estimator)

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5

490dec0dae999e2167345fcead79b3d13d5bc3d2

234

py

Python

test/com/facebook/buck/features/python/testdata/python_test/test_failure.py

Unknoob/buck

2dfc734354b326f2f66896dde7746a11965d5a13

[ "Apache-2.0" ]

8,027

2015-01-02T05:31:44.000Z

2022-03-31T07:08:09.000Z

test/com/facebook/buck/features/python/testdata/python_test/test_failure.py

Unknoob/buck

2dfc734354b326f2f66896dde7746a11965d5a13

[ "Apache-2.0" ]

2,355

2015-01-01T15:30:53.000Z

2022-03-30T20:21:16.000Z

test/com/facebook/buck/features/python/testdata/python_test/test_failure.py

Unknoob/buck

2dfc734354b326f2f66896dde7746a11965d5a13

[ "Apache-2.0" ]

1,280

2015-01-09T03:29:04.000Z

2022-03-30T15:14:14.000Z

import unittest class Test(unittest.TestCase): def test_that_passes(self): pass def test_that_fails(self): self.fail("failure") class Test2(unittest.TestCase): def test_that_passes(self): pass

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0

1

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1

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5

493c86063fe0ff64126c5d73cfa7073c5ee1b465

72

py

Python

tests/test.py

Hydrapse/pytorch-template

d7ea2f19bbdc032b8663ca432c1ef9012fe6180b

[ "MIT", "Unlicense" ]

null

tests/test.py

Hydrapse/pytorch-template

d7ea2f19bbdc032b8663ca432c1ef9012fe6180b

[ "MIT", "Unlicense" ]

null

tests/test.py

Hydrapse/pytorch-template

d7ea2f19bbdc032b8663ca432c1ef9012fe6180b

[ "MIT", "Unlicense" ]

null

import sys sys.path.append('/home/xhh/notebooks/GNN/pytorch-template')

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null

0

1

0

1

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493e49bc1ea56ff918a6a540f39d6c339934f322

11,674

py

Python

tests/test_protocol_objects.py

tempodb/tempodb-python

8ce45231bd728c6c97ef799cf0f1513ea3a9a7d3

[ "MIT" ]

4

2015-02-04T14:05:37.000Z

2018-03-01T09:46:34.000Z

tests/test_protocol_objects.py

tempodb/tempodb-python

8ce45231bd728c6c97ef799cf0f1513ea3a9a7d3

[ "MIT" ]

2

2022-01-30T22:45:34.000Z

2022-01-30T22:45:42.000Z

tests/test_protocol_objects.py

tempodb/tempodb-python

8ce45231bd728c6c97ef799cf0f1513ea3a9a7d3

[ "MIT" ]

1

2018-04-16T13:55:50.000Z

import unittest import datetime import json from tempodb.protocol.objects import JSONSerializable from tempodb.protocol.objects import DataPoint, MultiPoint, DataPointFound from tempodb.protocol.objects import SingleValue, SeriesSummary class TestProtocolObjects(unittest.TestCase): def test_json_serializable_constructor_with_text(self): JSONSerializable.properties = ['foo'] json_text = json.dumps({'foo': 'bar'}) o = JSONSerializable(json_text, None) JSONSerializable.properties = [] self.assertEquals(o.foo, 'bar') def test_json_serializable_constructor_with_obj(self): JSONSerializable.properties = ['foo'] json_text = {'foo': 'bar'} o = JSONSerializable(json_text, None) JSONSerializable.properties = [] self.assertEquals(o.foo, 'bar') def test_json_serializable_constructor_with_invalid_obj(self): JSONSerializable.properties = ['baz'] json_text = {'foo': 'bar'} self.assertRaises(ValueError, JSONSerializable, json_text, None) JSONSerializable.properties = [] def test_json_serializable_to_json(self): JSONSerializable.properties = ['foo'] json_text = {'foo': 'bar'} o = JSONSerializable(json_text, None) j = o.to_json() self.assertEquals(j, json.dumps(json_text)) JSONSerializable.properties = [] def test_json_serializable_to_dict(self): JSONSerializable.properties = ['foo'] json_text = {'foo': 'bar'} o = JSONSerializable(json_text, None) j = o.to_dictionary() self.assertEquals(j, json_text) JSONSerializable.properties = [] def test_data_point_from_data_valid(self): t = datetime.datetime.now() v = 1.0 series_id = 'foo' key = 'bar' d = DataPoint.from_data(t, v, series_id, key) self.assertEquals(d.v, 1.0) self.assertEquals(d.id, 'foo') self.assertEquals(d.key, 'bar') def test_data_point_from_data_with_tz(self): t = '2013-12-18T00:00:00' v = 1.0 series_id = 'foo' key = 'bar' d = DataPoint.from_data(t, v, series_id, key, tz='US/Eastern') j = d.to_dictionary() self.assertEquals(j['t'], '2013-12-18T00:00:00-05:00') self.assertEquals(d.v, 1.0) self.assertEquals(d.id, 'foo') self.assertEquals(d.key, 'bar') def test_data_point_from_data_invalid(self): t = datetime.datetime.now() v = '1.0aas' series_id = 'foo' key = 'bar' self.assertRaises(ValueError, DataPoint.from_data, t, v, series_id, key) def test_data_point_from_json(self): d = {'t': '1', 'v': 1.0} d = DataPoint(d, None) self.assertEquals(d.v, 1.0) def test_data_point_from_json_with_optional_params(self): d = {'t': '1', 'v': 1.0, 'key': 'foo', 'id': 'bar'} d = DataPoint(d, None) self.assertEquals(d.v, 1.0) self.assertEquals(d.key, 'foo') self.assertEquals(d.id, 'bar') def test_data_point_to_json(self): d = {'t': '2013-12-18T00:00:00', 'v': 1.0} d = DataPoint(d, None) j = json.loads(d.to_json()) self.assertEquals(j['t'], '2013-12-18T00:00:00') self.assertEquals(j['v'], 1.0) def test_data_point_to_json_with_tz(self): d = {'t': '2013-12-18T00:00:00', 'v': 1.0} d = DataPoint(d, None, tz='US/Eastern') j = json.loads(d.to_json()) self.assertEquals(j['t'], '2013-12-18T00:00:00-05:00') self.assertEquals(j['v'], 1.0) def test_data_point_to_json_with_optional_params(self): d = {'t': '2013-12-18T00:00:00', 'v': 1.0, 'key': 'foo', 'id': 'bar'} d = DataPoint(d, None) j = json.loads(d.to_json()) self.assertEquals(j['t'], '2013-12-18T00:00:00') self.assertEquals(j['v'], 1.0) self.assertEquals(j['key'], 'foo') self.assertEquals(j['id'], 'bar') def test_data_point_to_dictionary(self): d = {'t': '2013-12-18T00:00:00', 'v': 1.0} d = DataPoint(d, None) j = d.to_dictionary() self.assertEquals(j['t'], '2013-12-18T00:00:00') self.assertEquals(j['v'], 1.0) def test_data_point_to_dictionary_with_tz(self): d = {'t': '2013-12-18T00:00:00', 'v': 1.0} d = DataPoint(d, None, tz='US/Eastern') j = d.to_dictionary() self.assertEquals(j['t'], '2013-12-18T00:00:00-05:00') self.assertEquals(j['v'], 1.0) def test_data_point_to_dictionary_with_optional_params(self): d = {'t': '2013-12-18T00:00:00', 'v': 1.0, 'key': 'foo', 'id': 'bar'} d = DataPoint(d, None) j = d.to_dictionary() self.assertEquals(j['t'], '2013-12-18T00:00:00') self.assertEquals(j['v'], 1.0) self.assertEquals(j['key'], 'foo') self.assertEquals(j['id'], 'bar') def test_data_point_found_to_dictionary(self): d = {'found': {'t': '2013-12-18T00:00:00', 'v': 1.0}, 'interval': {'start': '2013-12-01T00:00:00', 'end': '2013-12-31T23:59:59'}} d = DataPointFound(d, None) j = d.to_dictionary() self.assertEquals(j['found']['t'], '2013-12-18T00:00:00') self.assertEquals(j['found']['v'], 1.0) self.assertEquals(j['interval']['start'], '2013-12-01T00:00:00') self.assertEquals(j['interval']['end'], '2013-12-31T23:59:59') def test_data_point_found_to_dictionary_with_tz(self): d = {'found': {'t': '2013-12-18T00:00:00', 'v': 1.0}, 'interval': {'start': '2013-12-01T00:00:00', 'end': '2013-12-31T23:59:59'}} d = DataPointFound(d, None, tz='US/Eastern') j = d.to_dictionary() self.assertEquals(j['found']['t'], '2013-12-18T00:00:00-05:00') self.assertEquals(j['found']['v'], 1.0) self.assertEquals(j['interval']['start'], '2013-12-01T00:00:00-05:00') self.assertEquals(j['interval']['end'], '2013-12-31T23:59:59-05:00') def test_data_point_found_to_json(self): d = {'found': {'t': '2013-12-18T00:00:00', 'v': 1.0}, 'interval': {'start': '2013-12-01T00:00:00', 'end': '2013-12-31T23:59:59'}} df = DataPointFound(d, None) j = df.to_json() self.assertEquals(j, json.dumps(d)) def test_multi_point_with_tz(self): d = {'t': '2013-12-18T00:00:00', 'v': {'foo': 1.0, 'bar': 3.0}} mp = MultiPoint(d, None, tz='US/Eastern') self.assertEquals(mp.t.isoformat(), '2013-12-18T00:00:00-05:00') def test_multi_point_get_valid_key(self): d = {'t': '2013-12-18T00:00:00', 'v': {'foo': 1.0, 'bar': 3.0}} mp = MultiPoint(d, None, tz='US/Eastern') self.assertEquals(mp.get('foo'), 1.0) def test_multi_point_get_invalid_key(self): d = {'t': '2013-12-18T00:00:00', 'v': {'foo': 1.0, 'bar': 3.0}} mp = MultiPoint(d, None, tz='US/Eastern') self.assertEquals(mp.get('baz'), None) def test_single_value(self): d = {"data": { "t": "2013-12-31T23:00:00.000Z", "v": 35.8872769971233 }, "series": { "attributes": { "project": "perftest1" }, "id": "fake", "key": "foo", "name": "", "tags": [ "subset" ] } } sv = SingleValue(d, None) self.assertEquals(sv.data.t.month, 12) self.assertEquals(sv.series.key, 'foo') def test_single_value_to_dictionary(self): d = {"data": { "t": "2013-12-31T23:00:00.000Z", "v": 35.8872769971233 }, "series": { "attributes": { "project": "perftest1" }, "id": "fake", "key": "foo", "name": "", "tags": [ "subset" ] } } sv = SingleValue(d, None) j = sv.to_dictionary() self.assertEquals(j['data']['t'], '2013-12-31T23:00:00+00:00') self.assertEquals(j['series']['key'], 'foo') def test_single_value_to_json(self): d = {"data": { "t": "2013-12-31T23:00:00.000Z", "v": 35.8872769971233 }, "series": { "attributes": { "project": "perftest1" }, "id": "fake", "key": "foo", "name": "", "tags": [ "subset" ] } } sv = SingleValue(d, None) j = sv.to_json() dj = json.loads(j) #these are serialized differently or not at all del d['series']['id'] d['data']['t'] = '2013-12-31T23:00:00+00:00' d1 = json.loads(json.dumps(d)) self.assertEqual(dj, d1) def test_series_summary(self): d = {"series": {"id": "foo", "key": "stuff", "name": "", "tags": [], "attributes": {}}, "tz": "UTC", "end": "2012-01-02T00:00:00.000Z", "start": "2012-01-01T00:00:00.000Z", "summary": {"count": 1440, "mean": 24.81055812507774, "min": 0.05106735242182414, "max": 49.96047239524747, "stddev": 14.518747713268956, "sum": 35727.203700111946} } ss = SeriesSummary(d, None) self.assertEquals(ss.series.key, 'stuff') self.assertEquals(ss.summary.count, 1440) def test_series_summary_to_dictionary(self): d = {"series": {"id": "foo", "key": "stuff", "name": "", "tags": [], "attributes": {}}, "tz": "UTC", "end": "2012-01-02T00:00:00.000Z", "start": "2012-01-01T00:00:00.000Z", "summary": {"count": 1440, "mean": 24.81055812507774, "min": 0.05106735242182414, "max": 49.96047239524747, "stddev": 14.518747713268956, "sum": 35727.203700111946} } ss = SeriesSummary(d, None) di = ss.to_dictionary() self.assertEquals(di['series']['key'], 'stuff') self.assertEquals(di['summary']['count'], 1440) def test_series_summary_to_json(self): d = {"series": {"id": "foo", "key": "stuff", "name": "", "tags": [], "attributes": {}}, "tz": "UTC", "end": "2012-01-02T00:00:00.000Z", "start": "2012-01-01T00:00:00.000Z", "summary": {"count": 1440, "mean": 24.81055812507774, "min": 0.05106735242182414, "max": 49.96047239524747, "stddev": 14.518747713268956, "sum": 35727.203700111946} } ss = SeriesSummary(d, None) j = ss.to_json() dj = json.loads(j) d['start'] = '2012-01-01T00:00:00+00:00' d['end'] = '2012-01-02T00:00:00+00:00' del d['series']['id'] self.maxDiff = None self.assertEqual(dj, d)

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495a39f9f68cdf16942e649d6dd19a9774e4ba96

23

py

Python

login.py

fuguobin/flask01

37ef242b8ec0690c52a947ed3d257bb9c53a091b

[ "MIT" ]

1

2019-07-02T12:42:42.000Z

login.py

fuguobin/flask01

37ef242b8ec0690c52a947ed3d257bb9c53a091b

[ "MIT" ]

null

login.py

fuguobin/flask01

37ef242b8ec0690c52a947ed3d257bb9c53a091b

[ "MIT" ]

null

num1 = 10 num2 = 333

5.75

11

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1

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1

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null

0

5

495f5a8c9a33beb6d07345806ca13c6d1079c656

92

py

Python

models/__init__.py

Pavelrst/ScopeFlow

fb7780eef118e2ecf2de839c5b15d7f3d99eb8ec

[ "Apache-2.0" ]

null

models/__init__.py

Pavelrst/ScopeFlow

fb7780eef118e2ecf2de839c5b15d7f3d99eb8ec

[ "Apache-2.0" ]

null

models/__init__.py

Pavelrst/ScopeFlow

fb7780eef118e2ecf2de839c5b15d7f3d99eb8ec

[ "Apache-2.0" ]

null

from . import IRR_PWC_V2 from . import raft IRR_PWC_V2 = IRR_PWC_V2.PWCNet raft = raft.RAFT

18.4

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0.272727

0.363636

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null

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5

b8fe6519b8dd691e2ae6ef17ad7ac9f0896c930a

116

py

Python

blog/blogp/admin.py

prashantsagar73/blogapp

98e812295c090f8b05e6d822d0175a77b8aa9899

[ "MIT" ]

1

2021-11-15T14:47:32.000Z

blog/blogp/admin.py

prashantsagar73/blogapp

98e812295c090f8b05e6d822d0175a77b8aa9899

[ "MIT" ]

1

2021-05-31T18:43:11.000Z

blog/blogp/admin.py

prashantsagar73/blogapp

98e812295c090f8b05e6d822d0175a77b8aa9899

[ "MIT" ]

null

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

23.2

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5.352941

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0

1

0

1

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5

91f4c8d98cbdb689f4a30839f21524746d62aaff

129

py

Python

profiles/admin.py

UB-ES-2021-A1/wannasell-backend

84360b2985fc28971867601373697f39303e396b

[ "Unlicense" ]

1

2017-08-03T01:40:12.000Z

profiles/admin.py

sunilsm7/django_resto

b7698653093af7e6f26dd0d0c7b8d6046b402ea4

[ "MIT" ]

62

2021-11-22T21:52:44.000Z

2021-12-17T15:07:02.000Z

profiles/admin.py

sunilsm7/django_resto

b7698653093af7e6f26dd0d0c7b8d6046b402ea4

[ "MIT" ]

null

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

18.428571

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1

0

1

0

5

6228cd0a4c8287ba1cac91197e0a8b141c246994

6,832

py

Python

tests/test_lm_filter.py

radinplaid/OpusFilter

e3ee0628d88ea5d632bda238049165a915adaaed

[ "MIT" ]

57

2020-02-15T00:41:26.000Z

2022-03-23T13:55:57.000Z

tests/test_lm_filter.py

radinplaid/OpusFilter

e3ee0628d88ea5d632bda238049165a915adaaed

[ "MIT" ]

26

2020-02-19T10:22:49.000Z

2022-02-28T07:17:09.000Z

tests/test_lm_filter.py

radinplaid/OpusFilter

e3ee0628d88ea5d632bda238049165a915adaaed

[ "MIT" ]

11

2020-05-21T02:02:24.000Z

2022-01-15T14:01:47.000Z

import argparse import logging import os import tempfile import unittest from opusfilter import lm try: import varikn except ImportError: logging.warning("Could not load varikn, language model filtering not supported") @unittest.skipIf('varikn' not in globals(), 'varikn package not installed') class TestLMFilter(unittest.TestCase): def setUp(self): self.lmdatafile1 = tempfile.mkstemp()[1] self.lmfile1 = tempfile.mkstemp()[1] with open(self.lmdatafile1, 'w') as lmdatafile: for line in range(10): lmdatafile.write('<s> <w> %s</s>\n' % ('a b <w> ' * (line + 1))) self.lmdatafile2 = tempfile.mkstemp()[1] self.lmfile2 = tempfile.mkstemp()[1] with open(self.lmdatafile2, 'w') as lmdatafile: for line in range(10): lmdatafile.write('<s> <w> %s</s>\n' % ('A B <w> ' * (line + 1))) lm.train(self.lmdatafile1, self.lmfile1) lm.train(self.lmdatafile2, self.lmfile2) logging.info(self.lmfile1) with open(self.lmfile1, 'r') as fobj: for line in fobj: logging.info(line.strip()) logging.info(self.lmfile2) with open(self.lmfile2, 'r') as fobj: for line in fobj: logging.info(line.strip()) def tearDown(self): os.remove(self.lmdatafile1) os.remove(self.lmfile1) os.remove(self.lmdatafile2) os.remove(self.lmfile2) def test_filter_entropy(self): src_lm_params = {'filename': self.lmfile1} tgt_lm_params = {'filename': self.lmfile2} cefilter = lm.CrossEntropyFilter( score_type='entropy', thresholds=[10, 10], diff_threshold=5, lm_params=[src_lm_params, tgt_lm_params]) inputs = [('ab', 'AB'), ('abbb abbb', 'AB'), ('ab', 'BAA'), ('abbb', 'BA'), ('abbb', 'AB')] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, False, False, True, False]) def test_filter_entropy_low(self): src_lm_params = {'filename': self.lmfile1} tgt_lm_params = {'filename': self.lmfile2} cefilter = lm.CrossEntropyFilter( score_type='entropy', thresholds=[10, 10], low_thresholds=[2, 2], diff_threshold=5, lm_params=[src_lm_params, tgt_lm_params]) inputs = [('ab', 'AB'), ('abbb abbb', 'AB'), ('ab', 'BAA'), ('abbb', 'BA'), ('abbb', 'AB')] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [False, False, False, True, False]) def test_filter_perplexity(self): src_lm_params = {'filename': self.lmfile1} tgt_lm_params = {'filename': self.lmfile2} cefilter = lm.CrossEntropyFilter( score_type='perplexity', thresholds=[1000, 1000], diff_threshold=100, lm_params=[src_lm_params, tgt_lm_params]) inputs = [('ab', 'AB'), ('abbb abbb', 'AB'), ('ab', 'BAA'), ('abbb', 'BA'), ('abbb', 'AB')] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, False, False, False, False]) def test_filter_logprob(self): src_lm_params = {'filename': self.lmfile1} tgt_lm_params = {'filename': self.lmfile2} cefilter = lm.CrossEntropyFilter( score_type='logprob', thresholds=[20, 20], diff_threshold=5, lm_params=[src_lm_params, tgt_lm_params]) inputs = [('ab', 'AB'), ('abbb abbb', 'AB'), ('ab', 'BAA'), ('abbb', 'BA'), ('abbb', 'AB')] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, False, False, True, False]) def test_filter_empty_default(self): src_lm_params = {'filename': self.lmfile1} tgt_lm_params = {'filename': self.lmfile2} cefilter = lm.CrossEntropyFilter( score_type='entropy', thresholds=[3, 3], diff_threshold=5, lm_params=[src_lm_params, tgt_lm_params]) inputs = [('ab', 'AB'), ('', '')] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, False]) def test_filter_empty_pass(self): src_lm_params = {'filename': self.lmfile1} tgt_lm_params = {'filename': self.lmfile2} cefilter = lm.CrossEntropyFilter( score_type='entropy', thresholds=[3, 3], diff_threshold=5, score_for_empty=0, lm_params=[src_lm_params, tgt_lm_params]) inputs = [('ab', 'AB'), ('', '')] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, True]) def test_filter_entropy_difference(self): id_lm_params = [{'filename': self.lmfile1}] nd_lm_params = [{'filename': self.lmfile2}] cefilter = lm.CrossEntropyDifferenceFilter( id_lm_params=id_lm_params, nd_lm_params=nd_lm_params, thresholds=[0, 0], pass_empty=False) inputs = [('ab',), ('ab ab',), ('Ab ab',), ('Ab Ab',), ('aB Ab',), ('AB',), ('',)] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, True, True, False, False, False, False]) def test_filter_entropy_difference_pass_empty(self): id_lm_params = [{'filename': self.lmfile1}] nd_lm_params = [{'filename': self.lmfile2}] cefilter = lm.CrossEntropyDifferenceFilter( id_lm_params=id_lm_params, nd_lm_params=nd_lm_params, thresholds=[0, 0], score_for_empty=-1) inputs = [('ab',), ('AB',), ('',)] scores = [] bools = [] for score in cefilter.score(inputs): scores.append(score) bools.append(cefilter.accept(score)) logging.info(scores) self.assertSequenceEqual(bools, [True, False, True])

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6230deb4bd6cac2a3b4068b1b9ea2a74d765d9e1

2,484

py

Python

memberportal/access/urls.py

kodaxx/MemberMatters

880655bb3201441985a88a2f7750ad65cc781052

[ "MIT" ]

18

2020-02-03T12:38:53.000Z

2022-02-08T00:44:35.000Z

memberportal/access/urls.py

kodaxx/MemberMatters

880655bb3201441985a88a2f7750ad65cc781052

[ "MIT" ]

111

2020-02-02T05:02:01.000Z

2022-03-28T04:46:27.000Z

memberportal/access/urls.py

kodaxx/MemberMatters

880655bb3201441985a88a2f7750ad65cc781052

[ "MIT" ]

15

2020-02-03T11:03:30.000Z

2021-12-05T00:33:02.000Z

from django.urls import path from . import views urlpatterns = [ path("api/door/<int:door_id>/unlock/", views.bump_door, name="bump_door"), path("api/door/<int:door_id>/reboot/", views.reboot_door, name="reboot_door"), path( "api/door/<int:door_id>/check/<int:rfid_code>/", views.check_door_access, name="check_access", ), path( "api/door/check/<int:rfid_code>/", views.check_door_access, name="check_access" ), path( "api/door/<int:door>/authorised/", views.authorised_door_tags, name="authorised_tags", ), path("api/door/authorised/", views.authorised_door_tags, name="authorised_tags"), path("api/door/<int:door>/checkin/", views.door_checkin, name="door_checkin"), path("api/door/checkin/", views.door_checkin, name="door_checkin"), path( "api/door/reset-default-access", views.reset_default_door_access, name="reset_default_access", ), path( "api/interlock/<int:interlock_id>/check/<int:rfid_code>/", views.check_interlock_access, name="check_interlock_access", ), path( "api/interlock/check/<int:rfid_code>/", views.check_interlock_access, name="check_interlock_access", ), path( "api/interlock/session/<uuid:session_id>/heartbeat/", views.check_interlock_access, name="check_interlock_access", ), path( "api/interlock/session/<uuid:session_id>/end/", views.end_interlock_session, name="end_interlock_session", ), path( "api/interlock/session/<uuid:session_id>/end/<int:rfid>/", views.end_interlock_session, name="end_interlock_session", ), path( "api/interlock/<int:interlock>/checkin/", views.interlock_checkin, name="interlock_checkin", ), path("api/interlock/checkin/", views.interlock_checkin, name="interlock_checkin"), path( "api/interlock/authorised/", views.authorised_interlock_tags, name="authorised_interlock_tags", ), path( "api/interlock/<int:interlock>/authorised/", views.authorised_interlock_tags, name="authorised_interlock_tags", ), path( "api/interlock/reset-default-access/", views.reset_default_interlock_access, name="reset_default_interlock_access", ), path("cron/interlock/", views.interlock_cron, name="interlock_cron"), ]

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py

Python

tests/src/TNB/mklaren/__init__.py

bellwethers-in-se/issueCloseTime

e5e00c9625da0793dc8e7985fd88b0ca0b35f7d3

[ "MIT" ]

9

2017-07-27T10:32:48.000Z

2021-07-01T11:51:51.000Z

tests/src/TNB/mklaren/__init__.py

bellwethers-in-se/issueCloseTime

e5e00c9625da0793dc8e7985fd88b0ca0b35f7d3

[ "MIT" ]

11

2016-03-15T16:27:47.000Z

2019-09-05T02:25:08.000Z

tests/src/TNB/mklaren/__init__.py

bellwethers-in-se/issueCloseTime

e5e00c9625da0793dc8e7985fd88b0ca0b35f7d3

[ "MIT" ]

5

2017-01-28T22:45:34.000Z

2019-12-04T13:15:10.000Z

import kernel import mkl import projection import regression import util

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62499a6487cbe6c7bcbf7d2b96723aba19fc0a10

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py

Python

enthought/pyface/workbench/i_editor.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/workbench/i_editor.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/workbench/i_editor.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.workbench.i_editor import *

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1

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1

0

5

62879c91d0f864dc16c6c092e14ab623fc94ca67

4,931

py

Python

tests/unit/language/ast/test_inline_fragment.py

matt-koevort/tartiflette

5777866b133d846ce4f8aa03f735fa81832896cd

[ "MIT" ]

530

2019-06-04T11:45:36.000Z

2022-03-31T09:29:56.000Z

tests/unit/language/ast/test_inline_fragment.py

matt-koevort/tartiflette

5777866b133d846ce4f8aa03f735fa81832896cd

[ "MIT" ]

242

2019-06-04T11:53:08.000Z

2022-03-28T07:06:27.000Z

tests/unit/language/ast/test_inline_fragment.py

matt-koevort/tartiflette

5777866b133d846ce4f8aa03f735fa81832896cd

[ "MIT" ]

36

2019-06-21T06:40:27.000Z

2021-11-04T13:11:16.000Z

import pytest from tartiflette.language.ast import InlineFragmentNode def test_inlinefragmentnode__init__(): inline_fragment_node = InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ) assert inline_fragment_node.selection_set == "inlineFragmentSelectionSet" assert inline_fragment_node.type_condition == "inlineFragmentTypeCondition" assert inline_fragment_node.directives == "inlineFragmentDirectives" assert inline_fragment_node.location == "inlineFragmentLocation" @pytest.mark.parametrize( "inline_fragment_node,other,expected", [ ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), Ellipsis, False, ), ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), InlineFragmentNode( selection_set="inlineFragmentSelectionSetBis", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), False, ), ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeConditionBis", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), False, ), ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectivesBis", location="inlineFragmentLocation", ), False, ), ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocationBis", ), False, ), ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), True, ), ], ) def test_inlinefragmentnode__eq__(inline_fragment_node, other, expected): assert (inline_fragment_node == other) is expected @pytest.mark.parametrize( "inline_fragment_node,expected", [ ( InlineFragmentNode( selection_set="inlineFragmentSelectionSet", type_condition="inlineFragmentTypeCondition", directives="inlineFragmentDirectives", location="inlineFragmentLocation", ), "InlineFragmentNode(" "type_condition='inlineFragmentTypeCondition', " "directives='inlineFragmentDirectives', " "selection_set='inlineFragmentSelectionSet', " "location='inlineFragmentLocation')", ) ], ) def test_inlinefragmentnode__repr__(inline_fragment_node, expected): assert inline_fragment_node.__repr__() == expected

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1

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null

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6572d1b85151aa63e3adbd544f1e465c7751da6b

103

py

Python

src/__init__.py

mjarsma/player-data-gen

170bf1bfe136dc4cf06be2ea1ddb1e8498201974

[ "MIT" ]

null

src/__init__.py

mjarsma/player-data-gen

170bf1bfe136dc4cf06be2ea1ddb1e8498201974

[ "MIT" ]

null

src/__init__.py

mjarsma/player-data-gen

170bf1bfe136dc4cf06be2ea1ddb1e8498201974

[ "MIT" ]

null

from src.generate_player_data import Player from src.db import connect __all__ = ['Player', 'connect']

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5

65b0e5309015789bd7418a4474cfc32b0ebb33b5

82

py

Python

src/PDMS/setup.py

Berni1557/PDMSPython

4b5f3e7d0c37906fcd72f90814ec82fceedb705c

[ "BSD-3-Clause" ]

null

src/PDMS/setup.py

Berni1557/PDMSPython

4b5f3e7d0c37906fcd72f90814ec82fceedb705c

[ "BSD-3-Clause" ]

null

src/PDMS/setup.py

Berni1557/PDMSPython

4b5f3e7d0c37906fcd72f90814ec82fceedb705c

[ "BSD-3-Clause" ]

null

from distutils.core import setup import py2exe setup(console=['main_search.py'])

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null

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1

0

1

0

1

0

5

65dfff9e1ddc7834219b02071f1787e974631193

24

py

Python

docassemble/juvenilesealing/__init__.py

berit/docassemble-juvenilesealing

001e17f838b84193ea019f6d04e7927bb746c630

[ "MIT" ]

null

docassemble/juvenilesealing/__init__.py

berit/docassemble-juvenilesealing

001e17f838b84193ea019f6d04e7927bb746c630

[ "MIT" ]

null

docassemble/juvenilesealing/__init__.py

berit/docassemble-juvenilesealing

001e17f838b84193ea019f6d04e7927bb746c630

[ "MIT" ]

null

__version__ = '0.0.107'

12

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null

0

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1

0

1

0

null

0

5

65e2113ba2cd51473d99f063ac64470133e661ee

5,321

py

Python

modules/case/generator.py

naskya/testcase-generator

02765184a275152e1d8c177f2028ca8db315cfee

[ "MIT" ]

4

2020-09-23T07:11:41.000Z

2022-02-02T09:08:21.000Z

modules/case/generator.py

naskya/testcase-generator

02765184a275152e1d8c177f2028ca8db315cfee

[ "MIT" ]

5

2021-08-29T18:23:01.000Z

2021-11-20T03:53:19.000Z

modules/case/generator.py

naskya/testcase-generator

02765184a275152e1d8c177f2028ca8db315cfee

[ "MIT" ]

null

from __future__ import annotations from modules.utility.exit_failure import exit_failure from modules.utility.printer import error from modules.variable.definition import ( Graph, Number, NumberArray, NumberMatrix, String, StringArray, Variable ) def generate_case(variables: dict[str, Variable], generated_values: list[list], format: list[list[str]]) -> str: result = '' for line in format: number_of_rows = -1 # determine the number of rows for variable_name in line: if variable_name in variables: if isinstance(variables[variable_name], (NumberArray, StringArray)): if variables[variable_name].is_printed_horizontally: if number_of_rows == -1: number_of_rows = 1 elif number_of_rows != 1: error(f'The number of rows in {", ".join(line)} do not match.') exit_failure() else: if number_of_rows == -1: number_of_rows = len(generated_values[variables[variable_name].id]) elif number_of_rows != len(generated_values[variables[variable_name].id]): error(f'The number of rows in {", ".join(line)} do not match.') exit_failure() else: if number_of_rows == -1: number_of_rows = len(generated_values[variables[variable_name].id]) elif number_of_rows != len(generated_values[variables[variable_name].id]): error(f'The number of rows in {", ".join(line)} do not match.') exit_failure() if number_of_rows == -1: number_of_rows = 1 # format for i in range(number_of_rows): for variable_name in line: if variable_name in variables: if isinstance(variables[variable_name], Number): if variables[variable_name].float_digits == 0: result += f'{generated_values[variables[variable_name].id][0]} ' else: d = variables[variable_name].float_digits result += f'{generated_values[variables[variable_name].id][0]:.{d}f} ' elif isinstance(variables[variable_name], String): result += f'{"".join(generated_values[variables[variable_name].id][0])} ' elif isinstance(variables[variable_name], NumberArray): if variables[variable_name].element.float_digits == 0: if variables[variable_name].is_printed_horizontally: result += ' '.join(map(str, generated_values[variables[variable_name].id])) result += ' ' else: result += f'{generated_values[variables[variable_name].id][i]} ' else: d = variables[variable_name].element.float_digits if variables[variable_name].is_printed_horizontally: result += ' '.join(map(lambda x: f'{x:.{d}f}', generated_values[variables[variable_name].id])) result += ' ' else: result += f'{generated_values[variables[variable_name].id][i]:.{d}f} ' elif isinstance(variables[variable_name], StringArray): if variables[variable_name].is_printed_horizontally: for s_i_as_list_of_char in generated_values[variables[variable_name].id]: result += ''.join(s_i_as_list_of_char) result += ' ' else: result += f'{"".join(generated_values[variables[variable_name].id][i])} ' elif isinstance(variables[variable_name], NumberMatrix): if variables[variable_name].element.float_digits == 0: result += ' '.join(map(str, generated_values[variables[variable_name].id][i])) result += ' ' else: d = variables[variable_name].element.float_digits result += ' '.join(map(lambda x: f'{x:.{d}f}', generated_values[variables[variable_name].id][i])) result += ' ' elif isinstance(variables[variable_name], Graph): u, v = generated_values[variables[variable_name].id][i] result += f'{u} {v} ' else: result += ' '.join(map(str, generated_values[variables[variable_name].id])) result += ' ' else: result += f'{variable_name} ' if (len(result) > 0) and (result[-1] == ' '): result = result[:-1] + '\n' else: result += '\n' return result

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0.005344

0.40218

5,321

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127

51.660194

0.788746

0.006578

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0.054348

0

null

0

1

0

null

0

5

02af440b5545462d1c02d22ca2c83e95fb42da2a

302

py

Python

python/sklk_widgets/__init__.py

skylarkwireless/sklk-demos

9de3c05377f46576186a61035497fcf2a2ced324

[ "Apache-2.0" ]

2

2019-05-12T02:57:58.000Z

2021-06-18T08:54:59.000Z

python/sklk_widgets/__init__.py

skylarkwireless/sklk-demos

9de3c05377f46576186a61035497fcf2a2ced324

[ "Apache-2.0" ]

null

python/sklk_widgets/__init__.py

skylarkwireless/sklk-demos

9de3c05377f46576186a61035497fcf2a2ced324

[ "Apache-2.0" ]

3

2020-04-13T21:16:07.000Z

2021-03-24T17:52:39.000Z

from . DeviceSelectionDialog import DeviceSelectionDialog from . FreqEntryWidget import FreqEntryWidget from . LineEditCustom import LineEditCustom from . StringValueComboBox import StringValueComboBox from . ArbitrarySettingsWidget import ArbitrarySettingsWidget from . LogPowerFFT import LogPowerFFT

43.142857

61

0.880795

24

302

11.083333

0.333333

0

0.099338

302

6

62

50.333333

0.977941

0

1

0

true

0

1

0

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null

0

1

0

null

0

1

0

1

0

5

02c07f02854a6c60a6ceb898af77a508d3f4a816

175

py

Python

src/backend/common/firebase.py

guineawheek/ftc-data-take-2

337bff2077eadb3bd6bbebd153cbb6181c99516f

[ "MIT" ]

266

2015-01-04T00:10:48.000Z

2022-03-28T18:42:05.000Z

src/backend/common/firebase.py

guineawheek/ftc-data-take-2

337bff2077eadb3bd6bbebd153cbb6181c99516f

[ "MIT" ]

2,673

2015-01-01T20:14:33.000Z

2022-03-31T18:17:16.000Z

src/backend/common/firebase.py

guineawheek/ftc-data-take-2

337bff2077eadb3bd6bbebd153cbb6181c99516f

[ "MIT" ]

230

2015-01-04T00:10:48.000Z

2022-03-26T18:12:04.000Z

import firebase_admin def app() -> firebase_admin.App: try: return firebase_admin.get_app() except Exception: return firebase_admin.initialize_app()

19.444444

46

0.697143

21

175

5.52381

0.52381

0.448276

0.327586

0

0.222857

175

8

47

21.875

0.852941

0

1

0.166667

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0

0.166667

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0.666667

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0

null

1

0

1

0

null

0

1

0

5

02d6725bc5a132764bead0abac6a770723c57bb9

101

py

Python

src/pyProtein/__init__.py

AlexanderSouthan/pyProtein

868e26a6d8fa7cfa863fe510e60e6fb5d904cd44

[ "MIT" ]

null

src/pyProtein/__init__.py

AlexanderSouthan/pyProtein

868e26a6d8fa7cfa863fe510e60e6fb5d904cd44

[ "MIT" ]

null

src/pyProtein/__init__.py

AlexanderSouthan/pyProtein

868e26a6d8fa7cfa863fe510e60e6fb5d904cd44

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .protein import protein from .amino_acid_properties import amino_acids

20.2

46

0.752475

14

101

5.214286

0.714286

0

0.011494

0.138614

101

4

47

25.25

0.827586

0.207921

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

02fc2e28bed15712b304ba251e4eb7f046b6fb44

63

py

Python

zstackwoodpecker/zstackwoodpecker/header/header.py

hyhhui/zstack-woodpecker

ac36ae033cc521e2f877763de3ff55e4762e3ae0

[ "Apache-2.0" ]

null

zstackwoodpecker/zstackwoodpecker/header/header.py

hyhhui/zstack-woodpecker

ac36ae033cc521e2f877763de3ff55e4762e3ae0

[ "Apache-2.0" ]

null

zstackwoodpecker/zstackwoodpecker/header/header.py

hyhhui/zstack-woodpecker

ac36ae033cc521e2f877763de3ff55e4762e3ae0

[ "Apache-2.0" ]

2

2020-03-12T03:11:28.000Z

2021-07-26T01:57:58.000Z

class ZstackObject(object): def update(self): pass

15.75

27

0.634921

7

63

5.714286

1

0

0.269841

63

3

28

21

0.869565

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f310cd98901a16073acc70b6e8e2bbadd4789284

29

py

Python

common_utils/adv_file_utils/__init__.py

cm107/common_utils

4b911efe9f8cdec16ecb2a983e16f772be05076c

[ "MIT" ]

null

common_utils/adv_file_utils/__init__.py

cm107/common_utils

4b911efe9f8cdec16ecb2a983e16f772be05076c

[ "MIT" ]

null

common_utils/adv_file_utils/__init__.py

cm107/common_utils

4b911efe9f8cdec16ecb2a983e16f772be05076c

[ "MIT" ]

null

from .adv_file_utils import *

29

0.827586

5

29

4.4

1

0

0.103448

29

1

29

0.846154

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b82d58c67e7a25abe0a5d8d84a279fc8a7680d83

2,021

py

Python

tests/test_batch/test_batch_tags_job_definition.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

null

tests/test_batch/test_batch_tags_job_definition.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

1

2022-03-07T07:39:03.000Z

tests/test_batch/test_batch_tags_job_definition.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

null

from . import _get_clients import sure # noqa # pylint: disable=unused-import from moto import mock_batch from uuid import uuid4 container_properties = { "image": "busybox", "command": ["sleep", "1"], "memory": 128, "vcpus": 1, } @mock_batch def test_list_tags_with_job_definition(): _, _, _, _, batch_client = _get_clients() definition_name = str(uuid4())[0:6] job_def_arn = batch_client.register_job_definition( jobDefinitionName=definition_name, type="container", containerProperties=container_properties, tags={"foo": "123", "bar": "456"}, )["jobDefinitionArn"] my_queue = batch_client.list_tags_for_resource(resourceArn=job_def_arn) my_queue.should.have.key("tags").equals({"foo": "123", "bar": "456"}) @mock_batch def test_tag_job_definition(): _, _, _, _, batch_client = _get_clients() definition_name = str(uuid4())[0:6] job_def_arn = batch_client.register_job_definition( jobDefinitionName=definition_name, type="container", containerProperties=container_properties, )["jobDefinitionArn"] batch_client.tag_resource(resourceArn=job_def_arn, tags={"k1": "v1", "k2": "v2"}) my_queue = batch_client.list_tags_for_resource(resourceArn=job_def_arn) my_queue.should.have.key("tags").equals({"k1": "v1", "k2": "v2"}) @mock_batch def test_untag_job_queue(): _, _, _, _, batch_client = _get_clients() definition_name = str(uuid4())[0:6] job_def_arn = batch_client.register_job_definition( jobDefinitionName=definition_name, type="container", containerProperties=container_properties, tags={"k1": "v1", "k2": "v2"}, )["jobDefinitionArn"] batch_client.tag_resource(resourceArn=job_def_arn, tags={"k3": "v3"}) batch_client.untag_resource(resourceArn=job_def_arn, tagKeys=["k2"]) my_queue = batch_client.list_tags_for_resource(resourceArn=job_def_arn) my_queue.should.have.key("tags").equals({"k1": "v1", "k3": "v3"})

29.720588

85

0.686294

248

2,021

5.193548

0.258065

0.102484

0.062888

0.11646

0.756988

0.722826

0

0.027348

0.167739

2,021

67

86

30.164179

0.738407

0.017318

0

0.5625

0

0.093293

0

1

0.0625

false

0

0.083333

0

0.145833

0

null

0

1

0

null

0

5

b8508bf45bb72b315a8393c3e73bc876d73452ea

20

py

Python

privacy_evaluator/models/tf/__init__.py

mariesig/privacy-evaluator

4e6ced65cc71bb661aef4518192517e23e22595e

[ "MIT" ]

null

privacy_evaluator/models/tf/__init__.py

mariesig/privacy-evaluator

4e6ced65cc71bb661aef4518192517e23e22595e

[ "MIT" ]

null

privacy_evaluator/models/tf/__init__.py

mariesig/privacy-evaluator

4e6ced65cc71bb661aef4518192517e23e22595e

[ "MIT" ]

null

from .dcti import *

10

19

0.7

3

20

4.666667

1

0

0.2

20

1

20

0.875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b879d1e8f7a77fefecf6be3ceba9d9d191b43a41

232

py

Python

twitterInterface.py

gerardtorres/twitterBotNetwork

71565a42789b4c626b0639f6b6e619bf06c0f8c9

[ "MIT" ]

null

twitterInterface.py

gerardtorres/twitterBotNetwork

71565a42789b4c626b0639f6b6e619bf06c0f8c9

[ "MIT" ]

null

twitterInterface.py

gerardtorres/twitterBotNetwork

71565a42789b4c626b0639f6b6e619bf06c0f8c9

[ "MIT" ]

null

import twitter api = twitter.Api(consumer_key=[consumer key], consumer_secret=[consumer secret], access_token_key=[access token], access_token_secret=[access token secret])

38.666667

60

0.607759

24

232

5.625

0.333333

0.325926

0.281481

0

0.310345

232

6

60

38.666667

0.84375

0

null

0

0.2

null

0

1

0

null

1

0

1

0

null

0

1

0

5

b896bc69d22f895a80316d96e1eb2e7618c7bd9b

145

py

Python

Courses/HSEPython/2 week/7.py

searayeah/sublime-snippets

deff53a06948691cd5e5d7dcfa85515ddd8fab0b

[ "MIT" ]

null

Courses/HSEPython/2 week/7.py

searayeah/sublime-snippets

deff53a06948691cd5e5d7dcfa85515ddd8fab0b

[ "MIT" ]

null

Courses/HSEPython/2 week/7.py

searayeah/sublime-snippets

deff53a06948691cd5e5d7dcfa85515ddd8fab0b

[ "MIT" ]

null

lol = [int(input()), int(input()), int(input())] a = len(set(lol)) if a == 3: print("0") if a == 2: print("2") if a == 1: print("3")

16.111111

48

0.462069

26

145

2.576923

0.461538

0.358209

0.328358

0.477612

0

0.054545

0.241379

145

8

49

18.125

0.554545

0

0.02069

0

1

0

false

0

0.375

1

0

null

1

0

1

0

null

0

5

b89f4b898beed991053315774b896f8850dac1b1

81

py

Python

tests/regressiontests/admin_scripts/simple_app/models.py

kix/django

5262a288df07daa050a0e17669c3f103f47a8640

[ "BSD-3-Clause" ]

790

2015-01-03T02:13:39.000Z

2020-05-10T19:53:57.000Z

AppServer/lib/django-1.5/tests/regressiontests/admin_scripts/simple_app/models.py

nlake44/appscale

6944af660ca4cb772c9b6c2332ab28e5ef4d849f

[ "Apache-2.0" ]

1,361

2015-01-08T23:09:40.000Z

2020-04-14T00:03:04.000Z

AppServer/lib/django-1.5/tests/regressiontests/admin_scripts/simple_app/models.py

nlake44/appscale

6944af660ca4cb772c9b6c2332ab28e5ef4d849f

[ "Apache-2.0" ]

155

2015-01-08T22:59:31.000Z

2020-04-08T08:01:53.000Z

from __future__ import absolute_import from ..complex_app.models.bar import Bar

20.25

40

0.839506

12

81

5.166667

0.666667

0

0.111111

81

3

41

27

0.861111

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b8a97ff154e66e8e2b1d56d24e0d0edea9ffb7d9

61

py

Python

httprunner/__init__.py

QiChangYin/MultipleInterfaceManager

0732cbd2dc9065aa4947ab3243136450874579a4

[ "MIT" ]

null

httprunner/__init__.py

QiChangYin/MultipleInterfaceManager

0732cbd2dc9065aa4947ab3243136450874579a4

[ "MIT" ]

null

httprunner/__init__.py

QiChangYin/MultipleInterfaceManager

0732cbd2dc9065aa4947ab3243136450874579a4

[ "MIT" ]

1

2019-07-04T12:46:20.000Z

# encoding: utf-8 from httprunner.task import HttpRunner

15.25

39

0.754098

8

61

5.75

0.875

0

0.02

0.180328

61

3

40

20.333333

0.9

0.245902

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b288379b4d65b8e846d0de87cb1dcde4ea3fee3d

9,734

py

Python

tests/test_config.py

btr1975/nso_jsonrpc_requester

63362045b998e1b7a2235804c55da151b781c0bd

[ "MIT" ]

null

tests/test_config.py

btr1975/nso_jsonrpc_requester

63362045b998e1b7a2235804c55da151b781c0bd

[ "MIT" ]

null

tests/test_config.py

btr1975/nso_jsonrpc_requester

63362045b998e1b7a2235804c55da151b781c0bd

[ "MIT" ]

null

import pytest import os import sys base_path = os.path.join(os.path.abspath(os.path.dirname(__name__))) sys.path.append(os.path.join(base_path)) from nso_jsonrpc_requester import NsoJsonRpcConfig def test_config_init_bad_data(request_data_login_get_trans): test_obj = NsoJsonRpcConfig('http', 'example.com', '8080', 'admin', 'admin', ssl_verify=False) test_obj.new_trans(mode='read_write') with pytest.raises(TypeError): test_obj.show_config(path=1, result_as='string', with_oper=False, max_size=0) with pytest.raises(KeyError): test_obj.show_config(path='/services/path', result_as='test', with_oper=False, max_size=0) with pytest.raises(TypeError): test_obj.show_config(path='/services/path', result_as='string', with_oper=1, max_size=0) with pytest.raises(TypeError): test_obj.show_config(path='/services/path', result_as='string', with_oper=False, max_size='test') with pytest.raises(TypeError): test_obj.deref(path=1, result_as='paths') with pytest.raises(KeyError): test_obj.deref(path='/services/path', result_as='test') with pytest.raises(TypeError): test_obj.get_leafref_values(path=1, skip_grouping=False, keys=None) with pytest.raises(TypeError): test_obj.get_leafref_values(path='/services/path', skip_grouping='test', keys=None) with pytest.raises(TypeError): test_obj.get_leafref_values(path='/services/path', skip_grouping=False, keys='test') with pytest.raises(TypeError): test_obj.run_action(path=1, input_data=None) with pytest.raises(TypeError): test_obj.run_action(path='/services/path', input_data='test') with pytest.raises(TypeError): test_obj.get_schema(path=1) with pytest.raises(TypeError): test_obj.get_list_keys(path=1) with pytest.raises(TypeError): test_obj.get_value(path=1, check_default=False) with pytest.raises(TypeError): test_obj.get_value(path='/services/path', check_default='test') with pytest.raises(TypeError): test_obj.get_values(path=1, leafs=['test'], check_default=False) with pytest.raises(TypeError): test_obj.get_values(path='/services/path', leafs='test', check_default=False) with pytest.raises(TypeError): test_obj.get_values(path='/services/path', leafs=['test'], check_default='test') with pytest.raises(TypeError): test_obj.create(path=1) with pytest.raises(TypeError): test_obj.exists(path=1) with pytest.raises(TypeError): test_obj.get_case(path=1, choice='test') with pytest.raises(TypeError): test_obj.get_case(path='/services/path', choice=1) with pytest.raises(TypeError): test_obj.load(data=5, path='/', data_format='xml', mode='merge') with pytest.raises(TypeError): test_obj.load(data='test', path=1, data_format='xml', mode='merge') with pytest.raises(KeyError): test_obj.load(data='test', path='/', data_format='test', mode='merge') with pytest.raises(KeyError): test_obj.load(data='test', path='/', data_format='xml', mode='test') with pytest.raises(TypeError): test_obj.set_value(path=1, value='test', dry_run=False) with pytest.raises(TypeError): test_obj.set_value(path='/services/path', value='test', dry_run='test') with pytest.raises(TypeError): test_obj.commit(dry_run='test', output='cli', reverse=False) with pytest.raises(KeyError): test_obj.commit(dry_run=False, output='test', reverse=False) with pytest.raises(TypeError): test_obj.commit(dry_run=False, output='cli', reverse='test') with pytest.raises(TypeError): test_obj.delete(path=1) with pytest.raises(TypeError): test_obj.get_template_variables(name=1) with pytest.raises(TypeError): test_obj.query(xpath_expr=1, result_as='string') with pytest.raises(ValueError): test_obj.query(xpath_expr='/services/path', result_as='test') with pytest.raises(ValueError): test_obj.start_query(xpath_expr=None, path=None, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr=1, path=None, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr=None, path=1, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=1, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size='test', initial_offset=None, sort=None, sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size=None, initial_offset='test', sort=None, sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size=None, initial_offset=None, sort='test', sort_order=None, include_total=True, context_node=None, result_as='string') with pytest.raises(ValueError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order='test', include_total=True, context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total='test', context_node=None, result_as='string') with pytest.raises(TypeError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total=True, context_node=1, result_as='string') with pytest.raises(ValueError): test_obj.start_query(xpath_expr='/services/path', path=None, selection=None, chunk_size=None, initial_offset=None, sort=None, sort_order=None, include_total=False, context_node=None, result_as='test') with pytest.raises(TypeError): test_obj.run_query(qh='test') with pytest.raises(TypeError): test_obj.reset_query(qh='test') with pytest.raises(TypeError): test_obj.stop_query(qh='test') test_obj.new_trans() with pytest.raises(ValueError): test_obj.create(path='/services/path') with pytest.raises(ValueError): test_obj.load(data='test') with pytest.raises(ValueError): test_obj.set_value(path='/services/path', value='test') with pytest.raises(ValueError): test_obj.validate_commit() with pytest.raises(ValueError): test_obj.commit() with pytest.raises(ValueError): test_obj.delete(path='/services/path') def test_config_init(request_data_login_get_trans): test_obj = NsoJsonRpcConfig('http', 'example.com', '8080', 'admin', 'admin', ssl_verify=False) test_obj.new_trans(mode='read_write') test_obj.show_config(path='/services/path') test_obj.deref(path='/services/path') test_obj.get_leafref_values(path='/services/path') test_obj.get_leafref_values(path='/services/path', keys=['test']) test_obj.run_action(path='/services/path', input_data=None) test_obj.run_action(path='/services/path', input_data={'test': 'test'}) test_obj.get_schema(path='/services/path') test_obj.get_list_keys(path='/services/path') test_obj.get_value(path='/services/path') test_obj.get_values(path='/services/path', leafs=['test']) test_obj.create(path='/services/path') test_obj.exists(path='/services/path') test_obj.get_case(path='/services/path', choice='test') test_obj.load(data='test') test_obj.set_value(path='/services/path', value='test') test_obj.validate_commit() test_obj.commit() test_obj.commit(output='native', reverse=True) test_obj.delete(path='/services/path') test_obj.get_service_points() test_obj.get_template_variables(name='test') test_obj.query(xpath_expr='/services/path') test_obj.start_query(xpath_expr='/services/path', selection=['test'], chunk_size=10, initial_offset=10, sort=['test'], sort_order='descending', include_total=False, context_node='/thing', result_as='string') test_obj.start_query(path='/services/path') test_obj.run_query(qh=5) test_obj.reset_query(qh=5) test_obj.stop_query(qh=5)

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1

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null

0

5

b28f87fbcf272794bbec501162f64d169e200b6b

661

py

Python

machine_translation_vision/layers/__init__.py

wonderseen/OVC-MMT

b982038ea1295cc038b8dcbca11aa81d318f7a49

[ "MIT" ]

5

2021-02-25T03:12:01.000Z

2022-03-04T15:17:45.000Z

machine_translation_vision/layers/__init__.py

wonderseen/OVC-MMT

b982038ea1295cc038b8dcbca11aa81d318f7a49

[ "MIT" ]

1

2021-02-25T05:42:31.000Z

2022-01-02T17:54:16.000Z

machine_translation_vision/layers/__init__.py

wonderseen/OVC-MMT

b982038ea1295cc038b8dcbca11aa81d318f7a49

[ "MIT" ]

null

from .Position_Embedding import PositionEmbedding from .Encoder import LIUMCVC_Encoder, LIUMCVC_Encoder2 from .LIUMCVC_Decoder import LIUMCVC_Decoder from .NMT_Decoder import NMT_Decoder from .NMT_Decoder_V2 import NMT_Decoder_V2 from .NMT_Decoder_V3 import NMT_Decoder_V3 from .ff import FF from .VSE_Imagine import VSE_Imagine from .VSE_Imagine_Mean import VSE_Imagine_Mean from .VSE_Imagine_Im import VSE_Imagine_Im from .VSE_Imagine_Text import VSE_Imagine_Text from .VSE_Imagine_Enc_Dec import VSE_Imagine_Enc_Dec from .VSE_Imagine_Enc_Dec_V2 import VSE_Imagine_Enc_Dec_V2 from .VSE_Imagine_Enc import VSE_Imagine_Enc, VSE_Imagine_Enc_bta, ImagineAttn_bta

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1

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5

b298d8507db8d36e534151b0d4b0ca382f497194

34

py

Python

version.py

jundoll/bs-playlist-by-tag

91438ee7f50bf5221aebc80e93b1165f6a7c6993

[ "MIT" ]

null

version.py

jundoll/bs-playlist-by-tag

91438ee7f50bf5221aebc80e93b1165f6a7c6993

[ "MIT" ]

null

version.py

jundoll/bs-playlist-by-tag

91438ee7f50bf5221aebc80e93b1165f6a7c6993

[ "MIT" ]

null

VERSION="bs-playlist-by-tag/0.1.1"

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1

0

null

0

1

0

1

null

0

5

a28d426b49d36f8e1adcd87e626b45b56c3e2ee0

178

py

Python

app/api/v2/user/__init__.py

salma-nyagaka/FastFoodFastApi

5b7be1079b7422ba4e510c73d0eb4dfeeb4f73f7

[ "MIT" ]

null

app/api/v2/user/__init__.py

salma-nyagaka/FastFoodFastApi

5b7be1079b7422ba4e510c73d0eb4dfeeb4f73f7

[ "MIT" ]

null

app/api/v2/user/__init__.py

salma-nyagaka/FastFoodFastApi

5b7be1079b7422ba4e510c73d0eb4dfeeb4f73f7

[ "MIT" ]

4

2018-09-13T17:56:40.000Z

2019-06-23T13:52:18.000Z

'''module imports''' from flask import Blueprint from .users import GetOrders, PlaceOrder, GetAllMenu, GetNewOrders, DeleteOrder USER_BLUEPRINT = Blueprint('user', __name__)

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null

0

1

0

1

0

5

a29ba0c45407c86a596a72c0191409383b678a1a

1,312

py

Python

examples/ex01_basics/incr_test.py

kevinyuan/pymtl3

5949e6a4acc625c0ccbbb25be3af1d0db683df3c

[ "BSD-3-Clause" ]

152

2020-06-03T02:34:11.000Z

2022-03-30T04:16:45.000Z

examples/ex01_basics/incr_test.py

kevinyuan/pymtl3

5949e6a4acc625c0ccbbb25be3af1d0db683df3c

[ "BSD-3-Clause" ]

139

2019-05-29T00:37:09.000Z

2020-05-17T16:49:26.000Z

examples/ex01_basics/incr_test.py

kevinyuan/pymtl3

5949e6a4acc625c0ccbbb25be3af1d0db683df3c

[ "BSD-3-Clause" ]

22

2020-05-18T13:42:05.000Z

2022-03-11T08:37:51.000Z

""" ========================================================================== incr_test.py ========================================================================== An increment python function that uses PyMTL bits. Author : Yanghui Ou Date : June 17, 2019 """ from pymtl3 import * # ''' TUTORIAL TASK '''''''''''''''''''''''''''''''''''''''''''''''''''''' # Implement the incr_8bit function and a corresponding unit test # ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''\/ #; The incr_8bit function should take as input an 8-bit value, increment #; it by one, and return the result. Try writing two unit tests. The #; first unit test should verify basic functionality, and the second unit #; test should verify overflow. #------------------------------------------------------------------------- # An 8-bit increment function #------------------------------------------------------------------------- def incr_8bit( x ): return b8(x) + b8(1) #------------------------------------------------------------------------- # Directed tests for the incr_8bit function #------------------------------------------------------------------------- def test_incr_8bit_simple(): assert incr_8bit( b8(2) ) == b8(3) def test_incr_8bit_overflow(): assert incr_8bit( b8(0xff) ) == b8(0)

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5

a2bb9021aebedecef080792ab93e79bf98cd506f

184

py

Python

models/tfidf/__init__.py

Semen52/nlp4u

06d30b9d37d2d8d1e1b96d825b91c0731b67ab04

[ "MIT" ]

null

models/tfidf/__init__.py

Semen52/nlp4u

06d30b9d37d2d8d1e1b96d825b91c0731b67ab04

[ "MIT" ]

null

models/tfidf/__init__.py

Semen52/nlp4u

06d30b9d37d2d8d1e1b96d825b91c0731b67ab04

[ "MIT" ]

1

2020-04-15T22:39:22.000Z

#!/usr/bin/ python # -*- coding: utf-8 -*- # *************************************** # # # Author: Semen Budenkov # Date: 27/02/2016 # # *************************************** #

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5

a2dc4a4cd17f33eacf128624b072f79d21f22cc1

68

py

Python

polyaxon/polyaxon/config_settings/monitor_resources/__init__.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/polyaxon/config_settings/monitor_resources/__init__.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/polyaxon/config_settings/monitor_resources/__init__.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

from polyaxon.config_settings.spawner import * from .apps import *

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null

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5

a2e1ef724f8921ead8ef4d6035f9ef6f740531ee

2,197

py

Python

src/tests/dao_test/guild_role_categories_dao_test.py

Veloxization/likahbot

24e22711f514fc0878cf6fb9e516ad44425ea6a7

[ "MIT" ]

null

src/tests/dao_test/guild_role_categories_dao_test.py

Veloxization/likahbot

24e22711f514fc0878cf6fb9e516ad44425ea6a7

[ "MIT" ]

null

src/tests/dao_test/guild_role_categories_dao_test.py

Veloxization/likahbot

24e22711f514fc0878cf6fb9e516ad44425ea6a7

[ "MIT" ]

null

import unittest import os from dao.guild_role_categories_dao import GuildRoleCategoriesDAO class TestGuildRoleCategoriesDAO(unittest.TestCase): def setUp(self): self.db_addr = "database/test_db.db" os.popen(f"sqlite3 {self.db_addr} < database/schema.sql") self.guild_role_categories_dao = GuildRoleCategoriesDAO(self.db_addr) def tearDown(self): self.guild_role_categories_dao.clear_guild_role_categories_table() def test_guild_role_categories_are_added_correctly(self): categories = self.guild_role_categories_dao.get_all_guild_role_categories(1234) self.assertEqual(len(categories), 0) self.guild_role_categories_dao.add_guild_role_category(1234, "TEST") categories = self.guild_role_categories_dao.get_all_guild_role_categories(1234) self.assertEqual(len(categories), 1) def test_guild_role_categories_are_removed_correctly(self): self.guild_role_categories_dao.add_guild_role_category(1234, "TEST") categories = self.guild_role_categories_dao.get_all_guild_role_categories(1234) self.assertEqual(len(categories), 1) self.guild_role_categories_dao.remove_guild_role_category(categories[0]["id"]) categories = self.guild_role_categories_dao.get_all_guild_role_categories(1234) self.assertEqual(len(categories), 0) def test_all_guild_role_categories_are_removed_correctly(self): self.guild_role_categories_dao.add_guild_role_category(1234, "TEST") categories1 = self.guild_role_categories_dao.get_all_guild_role_categories(1234) self.assertEqual(len(categories1), 1) self.guild_role_categories_dao.add_guild_role_category(2345, "TEST") categories2 = self.guild_role_categories_dao.get_all_guild_role_categories(2345) self.assertEqual(len(categories2), 1) self.guild_role_categories_dao.remove_all_guild_role_categories(1234) categories1 = self.guild_role_categories_dao.get_all_guild_role_categories(1234) self.assertEqual(len(categories1), 0) categories2 = self.guild_role_categories_dao.get_all_guild_role_categories(2345) self.assertEqual(len(categories2), 1)

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1

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1

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null

0

5

0c04196f383725288cf2c04f9b476eded51f8f3f

345

py

Python

codes_/0643_Maximum_Average_Subarray_I.py

SaitoTsutomu/leetcode

4656d66ab721a5c7bc59890db9a2331c6823b2bf

[ "MIT" ]

null

codes_/0643_Maximum_Average_Subarray_I.py

SaitoTsutomu/leetcode

4656d66ab721a5c7bc59890db9a2331c6823b2bf

[ "MIT" ]

null

codes_/0643_Maximum_Average_Subarray_I.py

SaitoTsutomu/leetcode

4656d66ab721a5c7bc59890db9a2331c6823b2bf

[ "MIT" ]

null

# %% [643. *Maximum Average Subarray I](https://leetcode.com/problems/maximum-average-subarray-i/) # 問題：長さkの連続する部分リストの平均の最大を求めよ # 解法：itertools.accumulateを用いる class Solution: def findMaxAverage(self, nums: List[int], k: int) -> float: a = [0] + list(itertools.accumulate(nums)) return max(j - i for i, j in zip(a, a[k:])) / k

43.125

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345

7

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null

0

1

0

1

0

5

0c1906b8868e58dd0bb9ff8f9e771adc977a9ac3

112

py

Python

app/models/generic/empty_response.py

vaibhav2408/video-registry

9ef440bb8094ca8c989db19995e1d1f6afa4ce30

[ "Apache-2.0" ]

null

app/models/generic/empty_response.py

vaibhav2408/video-registry

9ef440bb8094ca8c989db19995e1d1f6afa4ce30

[ "Apache-2.0" ]

null

app/models/generic/empty_response.py

vaibhav2408/video-registry

9ef440bb8094ca8c989db19995e1d1f6afa4ce30

[ "Apache-2.0" ]

null

from pydantic import BaseModel class EmptyResponse(BaseModel): """ Wrapper for empty response """

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5

0c39dae5502e25ab8b0c9c5262910ce2e2e8d836

8,744

py

Python

study_sample/eh_batch_del_keys.py

dantefung/Python-Codebase

7e154100a1016ad79ec5d6adc7c11f096ec1966b

[ "MIT" ]

null

study_sample/eh_batch_del_keys.py

dantefung/Python-Codebase

7e154100a1016ad79ec5d6adc7c11f096ec1966b

[ "MIT" ]

5

2021-04-30T21:18:36.000Z

2022-03-12T00:55:18.000Z

study_sample/eh_batch_del_keys.py

dantefung/Python-Codebase

7e154100a1016ad79ec5d6adc7c11f096ec1966b

[ "MIT" ]

null

import requests import json key_set_url = 'https://xxx.yyyy.com/hhh/app/taskqueue/keymap' del_key_url = 'https://xxx.yyyy.com/hhh/app/taskqueue/deleteKey' token = 'xxxxxxxxx' class HttpHelper: # 声明私有成员变量 __url = 'http://www.baidu.com/app/abc' __token = 'xxxyyyzzz' def __init__(self): pass def post(self, url, data, token): header = { "Content-Type": "application/json", "X-OS-KERNEL-TOKEN": token } # 使fiddler可以抓包. # proxies = { # "http": "http://10.10.25.12:8888", # "https": "http://10.10.25.12:8888", # } # res = requests.post(url=url, data=json.dumps(data), headers=header, proxies=proxies) res = requests.post(url=url, data=json.dumps(data), headers=header) print(res.text) return res def getUrl(self): return self.__url def getToken(self): return self.__token httpKit = HttpHelper() data = { } print(data) def main(keyPattern): keySetUrl = key_set_url + '?key=' + keyPattern + '*' res = httpKit.post(keySetUrl, data, token) # print(res) # print(res.content.decode('utf-8')) r''' {"code":0,"success":true,"message":"","result":{"EHR_RESULT_IMPORT_EMPLOYEENO:GT000178":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002752":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002755":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002756":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT009948":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT057233":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056026":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT008974":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT006311":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056824":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056706":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT000170":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056707":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT010372":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT057186":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT057185":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002767":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT057066":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT007774":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT008181":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056935":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056816":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002659":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002652":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT007029":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002655":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002656":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002657":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT008353":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT008111":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT007384":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT002770":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT007026":"1","EHR_RESULT_IMPORT_EMPLOYEENO:GT056950 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''' r''' {"code":0,"success":true,"message":"EHR_RESULT_IMPORT_EMPLOYEENO:GT056838","timestamp":1628062952337} ''' resDict = json.loads(res.content.decode('utf-8')) print('code:', resDict['code']) if resDict['code'] == 0: result = resDict['result'] # print('result:', resDict['result']) if result: for key in result: print('try to delete ', key, ' , please take a break!') delKeyUrl = del_key_url + '?key=' + key r = httpKit.post(delKeyUrl, data, token) rDict = json.loads(r.content.decode('utf-8')) if rDict['code'] == 0 and rDict['success']: print('Congratulations, ', rDict['message'], ' was deleted successfully!!') elif not result: print('result is empty!!') # def test(): # delKeyUrl = del_key_url + '?key=EHR_RESULT_IMPORT_EMPLOYEENO:GT002759'; # r = httpKit.post(delKeyUrl, data, token) # print(r.content.decode("utf-8")) # rDict = json.loads(r.content.decode('utf-8')) # if rDict['code'] == 0 and rDict['success']: # print('Congratulations, ',rDict['message'],' was deleted successfully!!'); # # test(); main('EHR_RESULT_IMPORT_EMPLOYEENO')

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null

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5

0c3ebbaa150889a8c9661083db7ae49b80ec8da1

1,323

py

Python

terrascript/okta/d.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/okta/d.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/okta/d.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/okta/d.py # Automatically generated by tools/makecode.py () import warnings warnings.warn( "using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2 ) import terrascript class okta_app(terrascript.Data): pass class okta_app_metadata_saml(terrascript.Data): pass class okta_app_oauth(terrascript.Data): pass class okta_app_saml(terrascript.Data): pass class okta_auth_server(terrascript.Data): pass class okta_auth_server_policy(terrascript.Data): pass class okta_auth_server_scopes(terrascript.Data): pass class okta_default_policies(terrascript.Data): pass class okta_default_policy(terrascript.Data): pass class okta_everyone_group(terrascript.Data): pass class okta_group(terrascript.Data): pass class okta_groups(terrascript.Data): pass class okta_idp_metadata_saml(terrascript.Data): pass class okta_idp_oidc(terrascript.Data): pass class okta_idp_saml(terrascript.Data): pass class okta_idp_social(terrascript.Data): pass class okta_policy(terrascript.Data): pass class okta_user(terrascript.Data): pass class okta_user_profile_mapping_source(terrascript.Data): pass class okta_user_type(terrascript.Data): pass class okta_users(terrascript.Data): pass

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null

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1

0

5

0c5ead334df61414cb15efed85f2674cfa7aaeb5

31

py

Python

config.py

PavelSimon/KryptoEvidencia

7516a4fc3697398f63efc48a98e5af2d596ac90b

[ "CC0-1.0" ]

null

config.py

PavelSimon/KryptoEvidencia

7516a4fc3697398f63efc48a98e5af2d596ac90b

[ "CC0-1.0" ]

null

config.py

PavelSimon/KryptoEvidencia

7516a4fc3697398f63efc48a98e5af2d596ac90b

[ "CC0-1.0" ]

null

PORT = 8002 HOST = "127.0.0.1"

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1

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null

0

5

a78c318ee1b8d271c8f6f05ce21e5075de0613a7

39

py

Python

cargan/loss/__init__.py

mdc202002/cargan

5bfb44a1d8c2de8126e8053bed6078ad2e20819c

[ "MIT" ]

72

2021-10-20T01:17:54.000Z

2022-02-22T07:40:35.000Z

cargan/loss/__init__.py

mdc202002/cargan

5bfb44a1d8c2de8126e8053bed6078ad2e20819c

[ "MIT" ]

7

2021-10-21T21:44:00.000Z

2022-03-17T18:24:42.000Z

cargan/loss/__init__.py

mdc202002/cargan

5bfb44a1d8c2de8126e8053bed6078ad2e20819c

[ "MIT" ]

16

2021-10-20T02:07:46.000Z

2022-03-16T08:18:37.000Z

from .pitch import CREPEPerceptualLoss

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5

a7a2de5cf07e850d9602648fad0f8b0f0b93e653

660

py

Python

backend/core/inputs.py

vkmrishad/django-graphql-cookiecutter

47ec56334f3558dd89c82d445024c606f1bc2a19

[ "MIT" ]

1

2022-03-02T00:26:23.000Z

backend/core/inputs.py

vkmrishad/django-graphql-cookiecutter

47ec56334f3558dd89c82d445024c606f1bc2a19

[ "MIT" ]

null

backend/core/inputs.py

vkmrishad/django-graphql-cookiecutter

47ec56334f3558dd89c82d445024c606f1bc2a19

[ "MIT" ]

null

from graphene import ID, Int, String class ForgotPasswordInput: email = String(required=True) class ResetPasswordInput: key = String(required=True) password = String(required=True) confirm_password = String(required=True) class RegisterInput: password = String(required=True) username = String(required=True) class VerifyUserInput: user_id = ID(required=True) token = String(required=True) class RequestOTPInput: phone = String(required=True) class CreateUploadInput: kind = Int(required=True) name = String(required=True) mimetype = String(required=True) class IDInput: id = ID(required=True)

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0

1

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5

a7c9200d4ca9fd1f49716a64fc423b875a1e8384

2,271

py

Python

tests/caps/test_capfile.py

devgi/bpf

4522c7afc3d6aae00a8fe03456dc1b84fc539c11

[ "MIT" ]

null

tests/caps/test_capfile.py

devgi/bpf

4522c7afc3d6aae00a8fe03456dc1b84fc539c11

[ "MIT" ]

1

2015-03-25T10:28:13.000Z

2015-03-25T20:19:35.000Z

tests/caps/test_capfile.py

devgi/bpf

4522c7afc3d6aae00a8fe03456dc1b84fc539c11

[ "MIT" ]

null

import pytest from caps.capfile import CapReader, CapWriter @pytest.fixture def temp_cap_file(tmpdir): return tmpdir.join("temp_cap.cap").strpath @pytest.mark.parametrize(("gz"), [True, False], ids=["compressed", "regular"]) @pytest.mark.parametrize(("endianness"), [">", "<", ""], ids=["big-endian", "little-endian", "default-enidan"]) @pytest.mark.parametrize(("sync"), [True, False], ids=["sync", "no-sync"]) def test_cap_write_read(temp_cap_file, gz, endianness, sync): cap_writer = CapWriter(temp_cap_file, gz=gz, endianness=endianness, sync=sync) # write 3 dummy packets. cap_writer.write("A") cap_writer.write("B") cap_writer.write("C") # close the cap writer. cap_writer.close() cap_reader = CapReader(temp_cap_file) packets = cap_reader.read_all_packets() assert packets == ["A", "B", "C"] cap_reader.close() @pytest.mark.parametrize(("gz"), [True, False], ids=["compressed", "regular"]) @pytest.mark.parametrize(("endianness"), [">", "<", ""], ids=["big-endian", "little-endian", "default-enidan"]) @pytest.mark.parametrize(("sync"), [True, False], ids=["sync", "no-sync"]) def test_cap_write_append_read(temp_cap_file, gz, endianness, sync): cap_writer = CapWriter(temp_cap_file, gz=gz, endianness=endianness, sync=sync) cap_writer.write("A") cap_writer.write("B") cap_writer.close() cap_writer2 = CapWriter(temp_cap_file, gz=gz, endianness=endianness, sync=sync, append=True) cap_writer2.write("C") cap_writer2.write("D") cap_writer2.close() cap_reader = CapReader(temp_cap_file) packets = cap_reader.read_all_packets() assert packets == ["A", "B", "C", "D"] cap_reader.close() def test_cap_reader_reset(temp_cap_file): cap_writer = CapWriter(temp_cap_file) cap_writer.write("A") cap_writer.write("B") cap_writer.close() cap_reader = CapReader(temp_cap_file) assert cap_reader.read_all_packets() == ["A", "B"] assert cap_reader.read_all_packets() == ["A", "B"]

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null

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1

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null

0

5

38eb07bb9572eeb636ca2a8aeda78371c50f7f5f

1,032

py

Python

08_Taidetta.py

mikkokotola/pythonkoodausta

cbf4c4c1f19ed4ef304526a304968262c6539b88

[ "MIT" ]

null

08_Taidetta.py

mikkokotola/pythonkoodausta

cbf4c4c1f19ed4ef304526a304968262c6539b88

[ "MIT" ]

null

08_Taidetta.py

mikkokotola/pythonkoodausta

cbf4c4c1f19ed4ef304526a304968262c6539b88

[ "MIT" ]

null

# Tehtävä 8 # Tässä on ohjelmapohja, joka piirtää kuviota kuvaruudulle. Kokeile ensin miten se toimii. # Ei haittaa, vaikka et ymmärrä ihan kaikkea koodia. Kokeile sitten mitä tapahtuu jos laitat # muuttujan 'odotus' arvoksi 0.5. Entä jos odotus on 0.02? Muokkaa sitten ohjelmaa siten, että # piirrettävä kuvio muuttuu jotenkin. # Otetaan käyttöön komento odottamiselle from time import sleep odotus = 0.02 i = 1 while i <= 10: print('*') # Odotetaan jokaisen tulostuksen jälkeen 0 sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print(' *') sleep(odotus) print('*') i = i + 1

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null

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null

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5

ac022bd519cb4510f21c7936d46b200c895ffc85

43

py

Python

entry/__init__.py

philos123/PyBacktesting

1046e52899461003ba7e563445d7acfe1b459189

[ "MIT" ]

52

2020-12-13T23:01:03.000Z

2022-03-09T05:54:32.000Z

entry/__init__.py

philos123/PyBacktesting

1046e52899461003ba7e563445d7acfe1b459189

[ "MIT" ]

null

entry/__init__.py

philos123/PyBacktesting

1046e52899461003ba7e563445d7acfe1b459189

[ "MIT" ]

26

2021-03-05T12:39:39.000Z

2022-02-21T02:32:03.000Z

""" Techniques used to enter the market """

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43

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14.333333

0.833333

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0

1

0

1

0

null

0

1

0

5

ac187d3e516032e011da30562d85d5384b7bbcd9

137

py

Python

sample1/level2/problem2/test2.py

Zim95/foorbar

955c7bfda7ff7583dbdb0a8f029cc39c18ea2b52

[ "MIT" ]

null

sample1/level2/problem2/test2.py

Zim95/foorbar

955c7bfda7ff7583dbdb0a8f029cc39c18ea2b52

[ "MIT" ]

null

sample1/level2/problem2/test2.py

Zim95/foorbar

955c7bfda7ff7583dbdb0a8f029cc39c18ea2b52

[ "MIT" ]

null

from unittest import TestCase from solution2 import solution class TestSalutations(TestCase): def test_string(self): pass

15.222222

32

0.751825

16

137

6.375

0.8125

0

0.009174

0.20438

137

8

33

17.125

0.926606

0

1

0.2

false

0.2

0.4

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0.8

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null

0

1

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null

0

1

0

1

0

5

ac8c6145c17c110f97d378e739c201f7c93ce780

10

py

Python

settings/ms_shutter_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

null

settings/ms_shutter_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

1

2019-10-22T21:28:31.000Z

2019-10-22T21:39:12.000Z

settings/ms_shutter_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

2

2019-06-06T15:06:46.000Z

2020-07-20T02:03:22.000Z

dt = 0.008

10

0.6

3

10

2

1

0

0.5

0.2

10

1

10

0.25

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

3bac5e7ec1f1378a2541a62fa47fc88d432de012

9,207

py

Python

standalone-templates/3nic/template.py

citrix/citrix-adc-gdm-templates

2bcfaf1703d3cc3746da60b5768eb8cfe79c4ff3

[ "RSA-MD" ]

2

2020-06-03T00:57:03.000Z

2020-12-07T06:07:41.000Z

standalone-templates/3nic/template.py

citrix/citrix-adc-gdm-templates

2bcfaf1703d3cc3746da60b5768eb8cfe79c4ff3

[ "RSA-MD" ]

null

standalone-templates/3nic/template.py

citrix/citrix-adc-gdm-templates

2bcfaf1703d3cc3746da60b5768eb8cfe79c4ff3

[ "RSA-MD" ]

3

2019-02-05T17:33:30.000Z

2021-01-05T06:35:32.000Z

"""Creates Citrix ADC Three NIC deployment""" COMPUTE_URL_BASE = 'https://www.googleapis.com/compute/v1/' def GenerateConfig(context): if(context.properties['assign_public_ip'] == 'yes'): access_configs1 = [{ 'name': 'Management NAT', 'type': 'ONE_TO_ONE_NAT', 'natIP': '$(ref.static-external-mgmt-ip-' + context.env['deployment'] + '.address)' }] access_configs2 = [{ 'name': 'Management NAT', 'type': 'ONE_TO_ONE_NAT', 'natIP': '$(ref.static-external-traffic-ip-' + context.env['deployment'] + '.address)' }] elif(context.properties['assign_public_ip'] == 'no'): access_configs1 = [] access_configs2 = [] network_interfaces = [{ 'network': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/global/networks/', context.properties['mgmt_network']]), 'subnetwork': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/regions/', context.properties['region'], '/subnetworks/', context.properties['mgmt_subnet']]), 'networkIP': '$(ref.static-internal-mgmt-ip-' + context.env['deployment'] + '.address)', 'accessConfigs': access_configs1 }, { 'network': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/global/networks/', context.properties['client_network']]), 'subnetwork': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/regions/', context.properties['region'], '/subnetworks/', context.properties['client_subnet']]), 'networkIP': '$(ref.static-internal-client-ip-' + context.env['deployment'] + '.address)', 'accessConfigs': access_configs2 }, { 'network': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/global/networks/', context.properties['server_network']]), 'subnetwork': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/regions/', context.properties['region'], '/subnetworks/', context.properties['server_subnet']]), 'networkIP': '$(ref.static-internal-server-ip-' + context.env['deployment'] + '.address)', 'accessConfigs': [] }] if(context.properties['service_account'] != ""): service_accounts = [{ 'email': context.properties['service_account'] }] else: service_accounts = [] if(context.properties['ssh_public_key'] != ""): ssh_keys = [{ 'key': 'ssh-keys', 'value':context.properties['ssh_public_key'] }] else: ssh_keys = [] resources = [{ 'name': 'citrix-adc-' + context.env['deployment'], 'type': 'compute.v1.instance', 'properties': { 'zone': context.properties['google_zone'], 'machineType': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/zones/', context.properties['google_zone'], '/machineTypes/', context.properties['instance_type']]), 'serviceAccounts': service_accounts, 'disks': [{ 'deviceName': 'boot', 'type': 'PERSISTENT', 'boot': True, 'autoDelete': True, 'initializeParams': { 'sourceImage': ''.join([COMPUTE_URL_BASE, 'projects/' + context.properties['image_project_id'], '/global/images/', context.properties['image_name'], ]) } }], 'networkInterfaces': network_interfaces, 'metadata': { 'items': ssh_keys }, 'tags': { 'items': ['mgmt-firewall-' + context.env['deployment'], 'client-firewall-' + context.env['deployment'], 'server-firewall-' + context.env['deployment']] } } }, { 'name': 'mgmt-firewall-' + context.env['deployment'], 'type': 'compute.v1.firewall', 'properties': { 'network': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/global/networks/', context.properties['mgmt_network']]), 'sourceRanges': ['0.0.0.0/0'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': context.properties['mgmt_ports'] }], 'direction': 'INGRESS', 'priority': 1000 } }, { 'name': 'client-firewall-' + context.env['deployment'], 'type': 'compute.v1.firewall', 'properties': { 'network': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/global/networks/', context.properties['client_network']]), 'sourceRanges': ['0.0.0.0/0'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': context.properties['traffic_ports'] }], 'direction': 'INGRESS', 'priority': 1000 } }, { 'name': 'server-firewall-' + context.env['deployment'], 'type': 'compute.v1.firewall', 'properties': { 'network': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/global/networks/', context.properties['server_network']]), 'sourceRanges': ['0.0.0.0/0'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': context.properties['traffic_ports'] }], 'direction': 'INGRESS', 'priority': 1000 } }, { 'name': 'static-internal-mgmt-ip-' + context.env['deployment'], 'type': 'compute.v1.addresses', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/regions/', context.properties['region'], '/subnetworks/', context.properties['mgmt_subnet']]) } }, { 'name': 'static-internal-client-ip-' + context.env['deployment'], 'type': 'compute.v1.addresses', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/regions/', context.properties['region'], '/subnetworks/', context.properties['client_subnet']]) } }, { 'name': 'static-internal-server-ip-' + context.env['deployment'], 'type': 'compute.v1.addresses', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': ''.join([COMPUTE_URL_BASE, 'projects/', context.env['project'], '/regions/', context.properties['region'], '/subnetworks/', context.properties['server_subnet']]) } }] if(context.properties['assign_public_ip'] == 'yes'): resources.extend([{ 'name': 'static-external-mgmt-ip-' + context.env['deployment'], 'type': 'compute.v1.addresses', 'properties': { 'addressType': 'EXTERNAL', 'region': context.properties['region'] } }, { 'name': 'static-external-traffic-ip-' + context.env['deployment'], 'type': 'compute.v1.addresses', 'properties': { 'addressType': 'EXTERNAL', 'region': context.properties['region'] } }]) outputs = [{ 'name': 'citrx-adc-mgmt-ip', 'value': '$(ref.citrix-adc-' + context.env['deployment'] + '.networkInterfaces[0].accessConfigs[0].natIP)' }, { 'name': 'citrix-adc-client-ip', 'value': '$(ref.citrix-adc-' + context.env['deployment'] + '.networkInterfaces[1].accessConfigs[0].natIP)' }, { 'name': 'citrix-adc-server-ip', 'value': '$(ref.citrix-adc-' + context.env['deployment'] + '.networkInterfaces[2].networkIP)' }] elif(context.properties['assign_public_ip'] == 'no'): outputs = [{ 'name': 'citrx-adc-mgmt-ip', 'value': '$(ref.citrix-adc-' + context.env['deployment'] + '.networkInterfaces[0].networkIP)' }, { 'name': 'citrx-adc-client-ip', 'value': '$(ref.citrix-adc-' + context.env['deployment'] + '.networkInterfaces[1].networkIP)' }, { 'name': 'citrx-adc-server-ip', 'value': '$(ref.citrix-adc-' + context.env['deployment'] + '.networkInterfaces[2].networkIP)' }] return {'resources': resources, "outputs": outputs}

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114

0.503639

737

9,207

6.176391

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0.14565

0.101054

0.05536

0.818761

0.769112

0.727812

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0.615993

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0.008091

0.315412

9,207

232

115

39.685345

0.714104

0.004236

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0

0.351997

0.054792

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false

0

0.009009

0

null

0

1

0

1

0

1

0

null

0

5

3bb6bcdbb2911f00adf3f82006b58700586c43d1

35

py

Python

python_binding/unittests_cgnsfile/run.py

kskinoue0612/iriclib_v4

8d6212247f43bb0b34dc99678a3cc028d6f9fc3a

[ "MIT" ]

null

python_binding/unittests_cgnsfile/run.py

kskinoue0612/iriclib_v4

8d6212247f43bb0b34dc99678a3cc028d6f9fc3a

[ "MIT" ]

15

2021-07-10T20:47:34.000Z

2022-01-27T21:30:36.000Z

python_binding/unittests_cgnsfile/run.py

kskinoue0612/iriclib_v4

8d6212247f43bb0b34dc99678a3cc028d6f9fc3a

[ "MIT" ]

2

2021-07-06T04:33:56.000Z

2021-08-30T03:50:02.000Z

import unittests unittests.main()

8.75

16

0.8

4

35

7

0.75

0

0.114286

35

3

17

11.666667

0.903226

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ce08b8f37201f8e7bfc56a09e25b2f548f191644

322

py

Python

shapeworld/world/__init__.py

ProKil/ShapeWorld

c68379dca207b6e3bf0ea38eba61895cf6f4e5a2

[ "MIT" ]

52

2017-02-07T12:02:11.000Z

2022-03-09T10:35:52.000Z

shapeworld/world/__init__.py

ProKil/ShapeWorld

c68379dca207b6e3bf0ea38eba61895cf6f4e5a2

[ "MIT" ]

30

2017-11-29T15:18:48.000Z

2021-12-12T10:27:08.000Z

shapeworld/world/__init__.py

ProKil/ShapeWorld

c68379dca207b6e3bf0ea38eba61895cf6f4e5a2

[ "MIT" ]

27

2017-04-18T21:14:29.000Z

2021-07-08T14:14:00.000Z

from shapeworld.world.point import Point from shapeworld.world.shape import Shape from shapeworld.world.color import Color from shapeworld.world.texture import Texture from shapeworld.world.entity import Entity from shapeworld.world.world import World __all__ = ['Point', 'Shape', 'Color', 'Texture', 'Entity', 'World']

32.2

67

0.795031

43

322

5.860465

0.232558

0.333333

0.452381

0

0.10559

322

9

68

35.777778

0.875

0

0.102484

0

1

0

false

0

0.857143

0

0.857143

0

null

1

0

1

0

null

0

1

0

1

0

5

ce2f1e4b5c2797a2c255d7776fe226deeb24afe8

10,486

py

Python

nuitka/nodes/shapes/BuiltinTypeShapes.py

augustand/Nuitka

b7b9dd50b60505a309f430ce17cad36fb7d75048

[ "Apache-2.0" ]

null

nuitka/nodes/shapes/BuiltinTypeShapes.py

augustand/Nuitka

b7b9dd50b60505a309f430ce17cad36fb7d75048

[ "Apache-2.0" ]

null

nuitka/nodes/shapes/BuiltinTypeShapes.py

augustand/Nuitka

b7b9dd50b60505a309f430ce17cad36fb7d75048

[ "Apache-2.0" ]

null

# Copyright 2016, Kay Hayen, mailto:kay.hayen@gmail.com # # Part of "Nuitka", an optimizing Python compiler that is compatible and # integrates with CPython, but also works on its own. # # 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. # """ Shapes for Python built-in types. """ from nuitka.PythonVersions import python_version from .StandardShapes import ShapeBase, ShapeIterator class ShapeTypeNoneType(ShapeBase): @staticmethod def getTypeName(): return "NoneType" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False class ShapeTypeBool(ShapeBase): @staticmethod def getTypeName(): return "bool" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return True @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False class ShapeTypeInt(ShapeBase): @staticmethod def getTypeName(): return "int" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return True @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False class ShapeTypeLong(ShapeBase): @staticmethod def getTypeName(): return "long" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return True @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False if python_version < 300: class ShapeTypeIntOrLong(ShapeBase): @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return True @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False else: ShapeTypeIntOrLong = ShapeTypeInt class ShapeTypeFloat(ShapeBase): @staticmethod def getTypeName(): return "float" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return True @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False class ShapeTypeTuple(ShapeBase): @staticmethod def getTypeName(): return "tuple" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeTupleIterator class ShapeTypeTupleIterator(ShapeIterator): @staticmethod def getTypeName(): return "tupleiterator" if python_version < 300 else "tuple_iterator" @staticmethod def hasShapeSlotLen(): return False class ShapeTypeList(ShapeBase): @staticmethod def getTypeName(): return "list" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeListIterator class ShapeTypeListIterator(ShapeIterator): @staticmethod def getTypeName(): return "listiterator" if python_version < 300 else "list_iterator" @staticmethod def hasShapeSlotLen(): return False class ShapeTypeSet(ShapeBase): @staticmethod def getTypeName(): return "set" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotNext(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def getShapeIter(): return ShapeTypeSetIterator class ShapeTypeSetIterator(ShapeIterator): @staticmethod def getTypeName(): return "setiterator" if python_version < 300 else "set_iterator" @staticmethod def hasShapeSlotLen(): return False class ShapeTypeDict(ShapeBase): @staticmethod def getTypeName(): return "dict" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeDictIterator class ShapeTypeDictIterator(ShapeIterator): @staticmethod def getTypeName(): return "dictionary-keyiterator" if python_version < 300 else "dictkey_iterator" @staticmethod def hasShapeSlotLen(): return False class ShapeTypeStr(ShapeBase): @staticmethod def getTypeName(): return "str" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeStrIterator class ShapeTypeStrIterator(ShapeIterator): @staticmethod def getTypeName(): return "iterator" if python_version < 300 else "str_iterator" @staticmethod def hasShapeSlotLen(): return False if python_version < 300: class ShapeTypeUnicode(ShapeBase): @staticmethod def getTypeName(): return "unicode" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeUnicodeIterator class ShapeTypeUnicodeIterator(ShapeIterator): @staticmethod def getTypeName(): return "iterator" @staticmethod def hasShapeSlotLen(): return False else: ShapeTypeUnicode = ShapeTypeStr ShapeTypeUnicodeIterator = ShapeTypeStrIterator if python_version < 300: class ShapeTypeStrOrUnicode(ShapeBase): @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False else: ShapeTypeStrOrUnicode = ShapeTypeStr if python_version >= 300: class ShapeTypeBytes(ShapeBase): @staticmethod def getTypeName(): return "bytes" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeBytesIterator class ShapeTypeBytesIterator(ShapeIterator): @staticmethod def getTypeName(): return "bytes_iterator" @staticmethod def hasShapeSlotLen(): return False else: ShapeTypeBytes = ShapeTypeStr ShapeTypeBytesIterator = ShapeTypeStrIterator class ShapeTypeEllipsisType(ShapeBase): @staticmethod def getTypeName(): return "ellipsis" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False class ShapeTypeSlice(ShapeBase): @staticmethod def getTypeName(): return "slice" @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False class ShapeTypeXrange(ShapeBase): @staticmethod def getTypeName(): return "xrange" if python_version < 300 else "range" @staticmethod def hasShapeSlotLen(): return True @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return True @staticmethod def hasShapeSlotNext(): return False @staticmethod def getShapeIter(): return ShapeTypeXrangeIterator class ShapeTypeXrangeIterator(ShapeIterator): @staticmethod def getTypeName(): return "rangeiterator" if python_version < 300 else "range_iterator" @staticmethod def hasShapeSlotLen(): return False class ShapeTypeType(ShapeBase): @staticmethod def hasShapeSlotLen(): return False @staticmethod def hasShapeSlotInt(): return False @staticmethod def hasShapeSlotIter(): return False @staticmethod def hasShapeSlotNext(): return False

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7.876033

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532

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