xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

724da380c925fd0be608bd11f30b6d426eb5746d

27

py

Python

megnet/data/__init__.py

abdalazizrashid/megnet

8ad0fca246465bd57d66392f790c5310c610dfff

[ "BSD-3-Clause" ]

367

2018-12-13T14:49:00.000Z

2022-03-31T10:17:04.000Z

megnet/data/__init__.py

kdmsit/MEGNet

4f3c76c6b99edcb41d52ae5e8ae9dc89956d33d1

[ "MIT" ]

162

2019-02-08T20:38:12.000Z

2022-03-31T21:13:06.000Z

megnet/data/__init__.py

kdmsit/MEGNet

4f3c76c6b99edcb41d52ae5e8ae9dc89956d33d1

[ "MIT" ]

119

2018-12-17T10:16:12.000Z

2022-03-31T17:26:57.000Z

""" Data manipulations """

6.75

18

0.62963

2

27

8.5

1

0

0.148148

27

3

19

9

0.73913

0.666667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

a0fa30f527e6c86b6cb9dc5b7f38c0821721deb9

71

py

Python

tests/routes/__init__.py

Bachhofer/spottydata

e9334c2a32bb65018b57d83fc4522ae241427db7

[ "MIT" ]

null

tests/routes/__init__.py

Bachhofer/spottydata

e9334c2a32bb65018b57d83fc4522ae241427db7

[ "MIT" ]

null

tests/routes/__init__.py

Bachhofer/spottydata

e9334c2a32bb65018b57d83fc4522ae241427db7

[ "MIT" ]

null

# This is an empty python file to expose this directory to it's parent

35.5

70

0.774648

14

71

3.928571

0.857143

0

0.197183

71

1

71

0.964912

0.957746

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

9d0fc4d37e8008ce4ffedc8ff1748729bd11a8f1

271

py

Python

skilletlib/skillet/__init__.py

annabarone/skilletlib

d1298218a1a0be35eb9fac2ae79323df600d8900

[ "Apache-2.0" ]

6

2020-04-27T18:08:02.000Z

2022-01-14T13:27:19.000Z

skilletlib/skillet/__init__.py

annabarone/skilletlib

d1298218a1a0be35eb9fac2ae79323df600d8900

[ "Apache-2.0" ]

85

2019-10-28T19:13:55.000Z

2021-07-14T13:00:28.000Z

skilletlib/skillet/__init__.py

annabarone/skilletlib

d1298218a1a0be35eb9fac2ae79323df600d8900

[ "Apache-2.0" ]

7

2019-12-05T20:17:16.000Z

2021-12-09T01:16:58.000Z

# from .panos import PanosSkillet # from .docker import DockerSkillet # from .pan_validation import PanValidationSkillet # from .python3 import Python3Skillet # from .rest import RestSkillet # from .template import TemplateSkillet # from .workflow import WorkflowSkillet

33.875

50

0.819188

29

271

7.62069

0.586207

0

0.008475

0.129151

271

7

51

38.714286

0.927966

0.944649

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

9d1115c99ef6af6ee80e12df2bf5eac7ff811ea7

149

py

Python

CorePythonProg/ch02/0206.py

mallius/CppPrimer

0285fabe5934492dfed0a9cf67ba5650982a5f76

[ "MIT" ]

null

CorePythonProg/ch02/0206.py

mallius/CppPrimer

0285fabe5934492dfed0a9cf67ba5650982a5f76

[ "MIT" ]

null

CorePythonProg/ch02/0206.py

mallius/CppPrimer

0285fabe5934492dfed0a9cf67ba5650982a5f76

[ "MIT" ]

1

2022-01-25T15:51:34.000Z

#!/usr/bin/env python numTemp = raw_input('Enter a number: ') num = int(numTemp) if num > 0: print '>0' elif num ==0: print '0' else: print '<0'

13.545455

39

0.61745

26

149

3.5

0.653846

0.197802

0.21978

0

0.041667

0.194631

149

10

40

14.9

0.716667

0.134228

0

0.164063

0

null

0

null

0.375

1

0

null

0

1

0

null

0

1

0

4

9d59ba6b91ae4d068be41f7bfb3634b177f8ade2

217

py

Python

tests/expr/expr09.py

ktok07b6/polyphony

657c5c7440520db6b4985970bd50547407693ac4

[ "MIT" ]

83

2015-11-30T09:59:13.000Z

2021-08-03T09:12:28.000Z

tests/expr/expr09.py

jesseclin/polyphony

657c5c7440520db6b4985970bd50547407693ac4

[ "MIT" ]

4

2017-02-10T01:43:11.000Z

2020-07-14T03:52:25.000Z

tests/expr/expr09.py

jesseclin/polyphony

657c5c7440520db6b4985970bd50547407693ac4

[ "MIT" ]

11

2016-11-18T14:39:15.000Z

2021-02-23T10:05:20.000Z

from polyphony import testbench def expr09(a, b): return a ^ b @testbench def test(): assert 1 == expr09(0b1000, 0b1001) assert 3 == expr09(0b1000, 0b1011) assert 1 == expr09(0b1010, 0b1011) test()

16.692308

38

0.654378

30

217

4.733333

0.566667

0.169014

0.183099

0

0.244048

0.225806

217

12

39

18.083333

0.60119

0

0.333333

1

0.222222

false

0

0.111111

0.444444

0

null

0

1

0

1

0

null

0

1

0

1

0

4

c22bb60421f79ce3a2d29c04e35af61e67fb09d3

1,207

py

Python

telegram_ecommerce/filters/decorators.py

Anonylions/telegram_ecommerce

f5382886bbebf607c735e2f451774c56df8d6011

[ "MIT" ]

10

2020-11-20T20:55:52.000Z

2022-02-10T20:25:45.000Z

telegram_ecommerce/filters/decorators.py

Anonylions/telegram_ecommerce

f5382886bbebf607c735e2f451774c56df8d6011

[ "MIT" ]

1

2022-02-16T10:28:18.000Z

2022-02-16T10:35:31.000Z

telegram_ecommerce/filters/decorators.py

Anonylions/telegram_ecommerce

f5382886bbebf607c735e2f451774c56df8d6011

[ "MIT" ]

8

2021-05-01T01:13:09.000Z

2022-03-13T14:00:01.000Z

from ..language import get_text from ..database.query import ( user_exist, is_admin) END = -1 def warning_the_user_that_already_have_an_account(update, context): text = get_text("user_have_account", context) update.message.reply_text(text) return END def warning_the_user_that_he_dont_have_an_account(update, context): text = get_text("user_dont_have_account", context) update.message.reply_text(text) return END def execute_if_user_exist(callback): def execute_warning_if_user_dont_exist(update, context): user_id = update.effective_user.id if user_exist(user_id): return callback(update, context) else: return warning_the_user_that_he_dont_have_an_account( update, context) return execute_warning_if_user_dont_exist def execute_if_user_dont_exist(callback): def execute_warning_if_user_exist(update, context): user_id = update.effective_user.id if user_exist(user_id): return warning_the_user_that_already_have_an_account( update, context) else: return callback(update, context) return execute_warning_if_user_exist

26.822222

67

0.71831

165

1,207

4.8

0.206061

0.131313

0.069444

0.090909

0.813131

0.795455

0.77904

0.606061

0.568182

0

0.001058

0.217067

1,207

44

68

27.431818

0.837037

0

0.451613

0

0.032365

0.018257

0

1

0.193548

false

0

0.064516

0

0.516129

0

null

0

1

0

null

0

1

0

4

c22fbe148dfbc37e36952003c17c1b1180d11337

63

py

Python

albow/demo/openGL/__init__.py

hasii2011/albow-python-3

04b9d42705b370b62f0e49d10274eebf3ac54bc1

[ "MIT" ]

6

2019-04-30T23:50:39.000Z

2019-11-04T06:15:02.000Z

albow/demo/openGL/__init__.py

hasii2011/albow-python-3

04b9d42705b370b62f0e49d10274eebf3ac54bc1

[ "MIT" ]

73

2019-05-12T18:43:14.000Z

2021-04-13T19:19:03.000Z

albow/demo/openGL/__init__.py

hasii2011/albow-python-3

04b9d42705b370b62f0e49d10274eebf3ac54bc1

[ "MIT" ]

null

"""" This package contains the OpenGL demonstration classes """

21

54

0.761905

7

63

6.857143

1

0

0.126984

63

3

55

21

0.872727

0.888889

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

c235b37d33733193984303077c70e9f3d941faa4

1,847

py

Python

pyglare/scene/objects.py

keyvank/pyglare

9e26ae444ff4481f0f50d7344d2a5a881d04fe64

[ "MIT" ]

6

2017-01-13T22:32:55.000Z

2022-03-27T22:19:49.000Z

pyglare/scene/objects.py

keyvank/pyglare

9e26ae444ff4481f0f50d7344d2a5a881d04fe64

[ "MIT" ]

1

2016-09-13T17:59:41.000Z

2016-09-13T18:05:20.000Z

pyglare/scene/objects.py

keyvank/pyglare

9e26ae444ff4481f0f50d7344d2a5a881d04fe64

[ "MIT" ]

null

from ..math import geometry as geo from ..image.color import Color import math class Material: def __init__(self,color,diffuse_rate,specular_rate,specular_exponent,reflection_rate): self.color = color self.diffuse_rate = diffuse_rate self.specular_rate = specular_rate self.specular_exponent = specular_exponent self.reflection_rate = reflection_rate class Object: def __init__(self,material): self.material=material def intersection(self,ray): '''Considering intersection point is: landa * ray, returns landa if there is intersection or None''' pass def normal_at(self,position): '''Returns normal vector of this shape on a position''' pass def color_at(self,position): pass class Plane(Object): def __init__(self,material,normal,intercept): super().__init__(material) self.math_repr = geo.Plane(normal,intercept) def intersection(self,ray): return self.math_repr.intersection(ray) def normal_at(self,position): return self.math_repr.normal def color_at(self,position): return self.material.color class CheckerboardUpPlane(Plane): def __init__(self,material,intercept,cell_size,cell_color): super().__init__(material,geo.Vector(0,1,0),intercept) self.cell_size = cell_size self.cell_color = cell_color def color_at(self,position): checker=math.floor(position.x/self.cell_size)+math.floor(position.z/self.cell_size) if checker%2 == 0: return self.material.color else: return self.cell_color class Sphere(Object): def __init__(self,material,position,radius): super().__init__(material) self.math_repr = geo.Sphere(position,radius) def intersection(self,ray): return self.math_repr.intersection(ray) def normal_at(self,position): return (position-self.math_repr.position).normalize() def color_at(self,position): return self.material.color

24.959459

102

0.7634

261

1,847

5.149425

0.226054

0.071429

0.072917

0.056548

0.348214

0.239583

0.191964

0.125

0

0.003113

0.130482

1,847

73

103

25.30137

0.833748

0.077964

0

0.4

0

1

0.3

false

0.06

0.12

0.62

0

null

0

null

0

1

0

1

0

1

0

4

dfa5cb1adcaf33702f7f2c3cd145a0c36382a865

97

py

Python

students/K33421/Samoshchenkov_Alexei/lr_2/hw_system/apps.py

Vivasus/ITMO_ICT_WebDevelopment_2020-2021

833d7ac1d40d9f7456a3c6b104a0e53c652d0035

[ "MIT" ]

null

students/K33421/Samoshchenkov_Alexei/lr_2/hw_system/apps.py

Vivasus/ITMO_ICT_WebDevelopment_2020-2021

833d7ac1d40d9f7456a3c6b104a0e53c652d0035

[ "MIT" ]

null

students/K33421/Samoshchenkov_Alexei/lr_2/hw_system/apps.py

Vivasus/ITMO_ICT_WebDevelopment_2020-2021

833d7ac1d40d9f7456a3c6b104a0e53c652d0035

[ "MIT" ]

null

from django.apps import AppConfig class HwSystemConfig(AppConfig): name = 'hw_system'

16.166667

34

0.721649

11

97

6.272727

0.909091

0

0.206186

97

5

35

19.4

0.896104

0

0.097826

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

dfaff48e9268da391e5354a533c983a642617b56

517

py

Python

matching_operators.py

DeadManPoe/PyMatcher

fa0301033d6a9476920519c867bc5e66db7793b7

[ "MIT" ]

null

matching_operators.py

DeadManPoe/PyMatcher

fa0301033d6a9476920519c867bc5e66db7793b7

[ "MIT" ]

null

matching_operators.py

DeadManPoe/PyMatcher

fa0301033d6a9476920519c867bc5e66db7793b7

[ "MIT" ]

null

def match_plus(string, matching_value): matches = match_star(string, matching_value) return matches != 0, matches def match_star(string, matching_value): found_occurrences = 0 for i, char in enumerate(string): if not match_identity(char, matching_value): return found_occurrences found_occurrences += 1 return found_occurrences def match_identity(string, matching_value): if matching_value == '.': return string != '' return string == matching_value

28.722222

52

0.694391

62

517

5.532258

0.33871

0.265306

0.276968

0.134111

0.163265

0

0.007481

0.224371

517

17

53

30.411765

0.84788

0

0.142857

0

0.001934

0

1

0.214286

false

0

0.571429

0

null

1

0

null

0

1

0

1

0

4

dfdfaf2898c9221e7f4f486f5412b4e767f314f2

3,821

py

Python

tests/test_constraints.py

jayvdb/versions

951bc3fd99b6a675190f11ee0752af1d7ff5b440

[ "MIT" ]

3

2015-02-20T04:02:25.000Z

2021-04-06T14:42:21.000Z

tests/test_constraints.py

jayvdb/versions

951bc3fd99b6a675190f11ee0752af1d7ff5b440

[ "MIT" ]

1

2019-07-07T06:37:01.000Z

tests/test_constraints.py

jayvdb/versions

951bc3fd99b6a675190f11ee0752af1d7ff5b440

[ "MIT" ]

2

2019-07-07T05:40:29.000Z

2021-04-06T14:42:23.000Z

from unittest import TestCase from versions.constraints import Constraints, merge, ExclusiveConstraints from versions.constraint import Constraint class TestConstraints(TestCase): def test_match(self): self.assertTrue(Constraints.parse('>1,<2').match('1.5')) def test_match_in(self): self.assertTrue('1.5' in Constraints.parse('>1,<2')) def test_parse(self): constraints = Constraints.parse('>1,<2') def test_add(self): self.assertEqual(Constraints() + '>1', Constraints.parse('>1')) self.assertEqual(Constraints() + Constraints.parse('>1'), Constraints.parse('>1')) self.assertEqual(Constraints() + Constraint.parse('>1'), Constraints.parse('>1')) self.assertRaises(TypeError, Constraints().__add__, 42) def test_iadd(self): constraints = Constraints() constraints += '>1' self.assertEqual(constraints, Constraints.parse('>1')) def test_str(self): self.assertEqual(str(Constraints([Constraint.parse('>1'), Constraint.parse('<2')])), '>1.0.0,<2.0.0') def test_repr(self): self.assertEqual(repr(Constraints()), "Constraints()") self.assertEqual(repr(Constraints.parse('==1')), "Constraints.parse('==1.0.0')") def test_eq_invalid_constraints_str(self): self.assertFalse(Constraints() == '#@$!') class TestMerge(TestCase): def assertMerge(self, input, output): self.assertEqual(merge(input), output) def test_raises_ExclusiveConstraints(self): self.assertRaises(ExclusiveConstraints, merge, [Constraint.parse('==1'), Constraint.parse('==2')]) self.assertRaises(ExclusiveConstraints, merge, [Constraint.parse('>2'), Constraint.parse('<1')]) self.assertRaises(ExclusiveConstraints, merge, [Constraint.parse('>2'), Constraint.parse('<2')]) self.assertRaises(ExclusiveConstraints, merge, [Constraint.parse('>2'), Constraint.parse('<=2')]) # the first 2 constraints will be merge into ==2, # which conflicts with !=2 self.assertRaises(ExclusiveConstraints, merge, [Constraint.parse('<=2'), Constraint.parse('>=2'), Constraint.parse('!=2')]) def test(self): constraints = [Constraint.parse('>1'), Constraint.parse('<2')] self.assertMerge(constraints, constraints) self.assertMerge([Constraint.parse('<2'), Constraint.parse('<3')], [Constraint.parse('<2.0.0')]) self.assertMerge([Constraint.parse('<2'), Constraint.parse('>=1')], [Constraint.parse('>=1.0.0'), Constraint.parse('<2.0.0')]) self.assertMerge([Constraint.parse('>=2'), Constraint.parse('>2')], [Constraint.parse('>2.0.0')]) self.assertMerge([Constraint.parse('>1'), Constraint.parse('>=2')], [Constraint.parse('>=2.0.0')]) self.assertMerge([Constraint.parse('<2'), Constraint.parse('<=1')], [Constraint.parse('<=1.0.0')]) self.assertMerge([Constraint.parse('<=2'), Constraint.parse('<1')], [Constraint.parse('<1.0.0')]) self.assertMerge([Constraint.parse('<=2'), Constraint.parse('>=2')], [Constraint.parse('==2.0.0')]) # Negative constraints should not be omitted! self.assertMerge([Constraint.parse('!=2'), Constraint.parse('!=1')], sorted([Constraint.parse('!=1.0.0'), Constraint.parse('!=2.0.0')]))

40.221053

83

0.559016

373

3,821

5.678284

0.13941

0.29745

0.203966

0.184136

0.607177

0.534466

0.392823

0.370633

0.363078

0

0.033607

0.267993

3,821

94

84

40.648936

0.723632

0.030359

0

0.106061

0

0.065118

0.007566

0

0.409091

1

0.166667

false

0

0.045455

0

0.242424

0

null

1

0

null

0

1

0

4

dfe12be6330b0968db19fa6ffe0881fb8fa8099d

1,224

py

Python

typefactory/constraints/numeric.py

stevemccartney/typefactory

75c9eb9eec9a7b9488db9cc0d06352f4fd1de1d9

[ "Apache-2.0" ]

null

typefactory/constraints/numeric.py

stevemccartney/typefactory

75c9eb9eec9a7b9488db9cc0d06352f4fd1de1d9

[ "Apache-2.0" ]

null

typefactory/constraints/numeric.py

stevemccartney/typefactory

75c9eb9eec9a7b9488db9cc0d06352f4fd1de1d9

[ "Apache-2.0" ]

null

from dataclasses import dataclass from numbers import Real from typing import Optional @dataclass class MultipleOf: param: Real def __call__(self, value: Real) -> Optional[str]: if value % self.param != 0: return f"Value must be a multiple of {self.param}" else: return None @dataclass class Minimum: param: Real def __call__(self, value: Real) -> Optional[str]: if value < self.param: return f"Value must be >= {self.param}" else: return None @dataclass class ExclusiveMinimum: param: Real def __call__(self, value: Real) -> Optional[str]: if value <= self.param: return f"Value must be > {self.param}" else: return None @dataclass class Maximum: param: Real def __call__(self, value: Real) -> Optional[str]: if value > self.param: return f"Value must be <= {self.param}" else: return None @dataclass class ExclusiveMaximum: param: Real def __call__(self, value: Real) -> Optional[str]: if value >= self.param: return f"Value must be < {self.param}" else: return None

20.745763

62

0.586601

146

1,224

4.780822

0.212329

0.12894

0.08596

0.114613

0.775072

0.749284

0.696275

0

0.0012

0.319444

1,224

58

63

21.103448

0.836735

0

0.581395

0

0.125817

0

1

0.116279

false

0

0.069767

0

0.651163

0

null

0

1

0

1

0

null

0

1

0

4

dfed59a42f4a11efd34b43e01fd5f7beba8d46b6

169

py

Python

tests/web_platform/css_grid_1/abspos/test_grid_positioned_items_gaps.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

71

2015-04-13T09:44:14.000Z

2019-03-24T01:03:02.000Z

tests/web_platform/css_grid_1/abspos/test_grid_positioned_items_gaps.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

35

2019-05-06T15:26:09.000Z

2022-03-28T06:30:33.000Z

tests/web_platform/css_grid_1/abspos/test_grid_positioned_items_gaps.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

139

2015-05-30T18:37:43.000Z

2019-03-27T17:14:05.000Z

from tests.utils import W3CTestCase class TestGridPositionedItemsGaps(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'grid-positioned-items-gaps-'))

28.166667

82

0.804734

18

169

7.277778

0.833333

0

0.019355

0.08284

169

5

83

33.8

0.825806

0

0.159763

0

1

0

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

dff0a891ee94445188ef897fe40edf7b03e0dcdf

18

py

Python

src/__init__.py

PMantovani/pympu6050

bab4e680d700d9ad62855958cdb93feaaa16060c

[ "MIT" ]

null

src/__init__.py

PMantovani/pympu6050

bab4e680d700d9ad62855958cdb93feaaa16060c

[ "MIT" ]

null

src/__init__.py

PMantovani/pympu6050

bab4e680d700d9ad62855958cdb93feaaa16060c

[ "MIT" ]

null

name = "pympu6050"

18

0.722222

2

18

6.5

1

0

0.25

0.111111

18

1

18

0.5625

0

0.473684

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

5f018a5353d8adb9d68568f7a0b49dde04ed193e

75

py

Python

storch/models/__init__.py

STomoya/storch

47754eecd5fb5404dd345f06fb0f8d3270a9e5b9

[ "MIT" ]

null

storch/models/__init__.py

STomoya/storch

47754eecd5fb5404dd345f06fb0f8d3270a9e5b9

[ "MIT" ]

null

storch/models/__init__.py

STomoya/storch

47754eecd5fb5404dd345f06fb0f8d3270a9e5b9

[ "MIT" ]

null

from multiscale import MultiScale from patchgan import PatchDiscriminator

18.75

39

0.88

8

75

8.25

0.625

0

0.12

75

3

40

25

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5f0603321cb19a9d08d78984f4e1439bd2f1a90c

121

py

Python

python/testData/findUsages/GlobalUsages.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/findUsages/GlobalUsages.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/findUsages/GlobalUsages.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

<caret>search_variable = 1 def function(): global search_variable search_variable = 2 print(search_variable)

20.166667

26

0.735537

15

121

5.666667

0.6

0.658824

0

0.020408

0.190083

121

6

27

20.166667

0.846939

0

null

0

null

0.2

1

0

null

1

0

1

0

null

0

1

0

4

a054dcd6697f8d246a99e2b87deb291ef103d4ce

101

py

Python

add.py

Harshillab/python

877d5fa6769ce7bcc28ca75c247df42ed7375e55

[ "MIT" ]

null

add.py

Harshillab/python

877d5fa6769ce7bcc28ca75c247df42ed7375e55

[ "MIT" ]

null

add.py

Harshillab/python

877d5fa6769ce7bcc28ca75c247df42ed7375e55

[ "MIT" ]

null

import os a=input("enter username:") if a.isalpha(): os.system("useradd "+a) os.system("passwd a")

16.833333

26

0.673267

17

101

4

0.647059

0.235294

0

0.118812

101

5

27

20.2

0.764045

0

0.306931

0

1

0

false

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

1

0

4

a0732a0c9e8673154fd43815d09dd9d39d2b3b7d

96

py

Python

batchout/core/util.py

ilia-khaustov/batchout

e916a1b0bfac771e6c96d0ff2478dc3f44804a94

[ "MIT" ]

8

2019-11-05T06:54:30.000Z

2021-12-14T14:52:24.000Z

batchout/core/util.py

ilia-khaustov/batchout

e916a1b0bfac771e6c96d0ff2478dc3f44804a94

[ "MIT" ]

null

batchout/core/util.py

ilia-khaustov/batchout

e916a1b0bfac771e6c96d0ff2478dc3f44804a94

[ "MIT" ]

1

2020-05-05T09:31:14.000Z

def to_iter(obj): try: return iter(obj) except TypeError: return obj,

12

24

0.552083

12

96

4.333333

0.666667

0.269231

0

0.364583

96

7

25

13.714286

0.852459

0

1

0.2

false

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

4

a07710f0bb90f929f1fc7e78cba178a4fc0fa117

1,007

py

Python

tests/article_test.py

Kabu1/flashnews

30852077c465ce828452125ec5e2b21115609c38

[ "Unlicense" ]

null

tests/article_test.py

Kabu1/flashnews

30852077c465ce828452125ec5e2b21115609c38

[ "Unlicense" ]

null

tests/article_test.py

Kabu1/flashnews

30852077c465ce828452125ec5e2b21115609c38

[ "Unlicense" ]

null

import unittest from app.models import Article class ArticleTest(unittest.TestCase): ''' Test Class to test the behaviour of the Article class ''' def setUp(self): ''' Set up method that will run before every Test ''' self.new_article = Article('Jack Healy, Jack Nicas and Mike Baker','Firefighters continued to battle blazes along the West Coast that have now charred nearly five million acres. At least 17 people are dead, with dozens still missing','2020-09-12T00:32:15.000Z','https://www.nytimes.com/2020/09/11/us/fires-oregon-california-washington.html?action=click&module=Spotlight&pgtype=Homepage','https://static01.nyt.com/images/2020/09/11/us/11wildfires-oregon02/11wildfires-oregon02-facebookJumbo.jpg','A Line of Fire South of Portland and a Yearslong Recovery Ahead') def test_instance(self): ''' Test to check creation of new article instance ''' self.assertTrue(isinstance(self.new_article,Article))

45.772727

569

0.715988

142

1,007

5.056338

0.697183

0.041783

0.038997

0.058496

0

0.054745

0.183714

1,007

21

570

47.952381

0.818735

0.144985

0

0.428571

0.645807

0.030038

0

0.142857

1

0.285714

false

0

0.285714

0

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

a078916cfe94a2866d1c06904964969d62a237ec

25

py

Python

relatives/__init__.py

treyhunner/django-relatives

a578ab135f865df2835957cedfd00476c4b65e18

[ "MIT" ]

10

2015-08-14T00:22:52.000Z

2021-09-16T08:15:14.000Z

relatives/__init__.py

treyhunner/django-relatives

a578ab135f865df2835957cedfd00476c4b65e18

[ "MIT" ]

12

2015-03-09T20:17:16.000Z

2021-09-30T18:46:11.000Z

relatives/__init__.py

treyhunner/django-relatives

a578ab135f865df2835957cedfd00476c4b65e18

[ "MIT" ]

3

2016-01-05T15:20:10.000Z

2018-08-03T10:51:23.000Z

__version__ = '1.3.0.a3'

12.5

24

0.64

5

25

2.4

1

0

0.181818

0.12

25

1

25

0.363636

0

0.32

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

a0921c92865225de5297219ccf69a9133b387063

2,431

py

Python

dist/snippets/woosmap_http_zones_collection_request/woosmap_http_zones_collection_request.py

woosmap/openapi-specification

7f934628a75695884db2fa29dd1d04efd1fb20de

[ "MIT" ]

null

dist/snippets/woosmap_http_zones_collection_request/woosmap_http_zones_collection_request.py

woosmap/openapi-specification

7f934628a75695884db2fa29dd1d04efd1fb20de

[ "MIT" ]

3

2021-12-20T16:15:13.000Z

2022-02-15T00:44:19.000Z

dist/snippets/woosmap_http_zones_collection_request/woosmap_http_zones_collection_request.py

woosmap/openapi-specification

7f934628a75695884db2fa29dd1d04efd1fb20de

[ "MIT" ]

null

# [START woosmap_http_zones_collection_request] import requests import json url = "https://api.woosmap.com/zones?private_key=YOUR_PRIVATE_API_KEY" payload = json.dumps({ "zones": [ { "zone_id": "ZoneA", "description": "Delivery Zone for Store A", "store_id": "STORE_ID_123456", "polygon": "POLYGON ((-122.496116 37.7648181,-122.4954079 37.751518,-122.4635648 37.7530788,-122.4618481 37.7514501,-122.4601315 37.7521288,-122.4565266 37.7513144,-122.4540375 37.7566755,-122.4528359 37.7583041,-122.4515485 37.7595934,-122.4546384 37.774656,-122.4718903 37.7731635,-122.472577 37.772485,-122.4755811 37.7725529,-122.4791001 37.7723493,-122.4793576 37.7713995,-122.4784993 37.769839,-122.4783276 37.7680071,-122.4774693 37.766718,-122.4772118 37.7652931,-122.496116 37.7648181))", "types": [ "delivery" ] }, { "zone_id": "ZoneB", "description": "Delivery Zone for Store B", "store_id": "STORE_ID_123456", "polygon": "POLYGON ((-122.4546384 37.774656,-122.4515485 37.7595934,-122.4354306 37.7602172,-122.4333707 37.7512596,-122.423071 37.7511239,-122.4242726 37.7687665,-122.4259893 37.7691736,-122.4289075 37.7732444,-122.4306241 37.7850483,-122.4472753 37.7830133,-122.445902 37.7759581,-122.4546384 37.774656))", "types": [ "delivery" ] }, { "zone_id": "ZoneC", "description": "Delivery Zone for Store C", "store_id": "STORE_ID_45678", "polygon": "POLYGON ((-122.4758889 37.7524995,-122.4751594 37.7321718,-122.4688079 37.7299995,-122.4648597 37.7261979,-122.4519851 37.7228035,-122.4483802 37.7215815,-122.4458053 37.726741,-122.4365356 37.7310857,-122.4315574 37.7324433,-122.4246909 37.7312214,-122.4219444 37.731493,-122.423071 37.7511239,-122.4333707 37.7512596,-122.4354306 37.7602172,-122.4515485 37.7595934,-122.4528628 37.7582744,-122.4540375 37.7566755,-122.4565266 37.7513144,-122.4601315 37.7521288,-122.4618481 37.7514501,-122.4635648 37.7530788,-122.4758889 37.7524995))", "types": [ "delivery" ] } ] }) headers = { 'content-type': 'application/json' } response = requests.request("POST", url, headers=headers, data=payload) print(response.text) # [END woosmap_http_zones_collection_request]

52.847826

562

0.65035

319

2,431

4.880878

0.394984

0.026975

0.044316

0.050096

0.411047

0.047527

0

0.524758

0.194159

2,431

46

563

52.847826

0.270036

0.03661

0

0.205128

0

0.076923

0.720085

0.495727

0

1

0

false

0

0.051282

0

0.051282

0.025641

0

null

0

1

0

1

0

1

null

0

4

a09b9af2b847bf39b063ead0a72aab28cd93427e

126

py

Python

wtpy/apps/__init__.py

Huijun-Cui/wtpy

9a8243a20b944fbb37aa33d81215b7b36ac7b1e2

[ "MIT" ]

null

wtpy/apps/__init__.py

Huijun-Cui/wtpy

9a8243a20b944fbb37aa33d81215b7b36ac7b1e2

[ "MIT" ]

null

wtpy/apps/__init__.py

Huijun-Cui/wtpy

9a8243a20b944fbb37aa33d81215b7b36ac7b1e2

[ "MIT" ]

null

from .WtBtAnalyst import WtBtAnalyst from .WtCtaOptimizer import WtCtaOptimizer __all__ = ["WtBtAnalyst","WtCtaOptimizer"]

31.5

43

0.809524

11

126

8.909091

0.454545

0

0.111111

126

4

44

31.5

0.875

0

0.201613

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a09c77edcb165aec8e2b0d92f741bba565b1c3ad

627

py

Python

ad2web/api/forms.py

billfor/alarmdecoder-webapp

43c3ebb2b44c7291cd89a2a7a31bbdfdb3ec06dc

[ "BSD-3-Clause", "MIT" ]

46

2015-06-14T02:19:16.000Z

2022-03-24T03:11:19.000Z

ad2web/api/forms.py

billfor/alarmdecoder-webapp

43c3ebb2b44c7291cd89a2a7a31bbdfdb3ec06dc

[ "BSD-3-Clause", "MIT" ]

66

2015-03-14T16:30:43.000Z

2021-08-28T22:20:01.000Z

ad2web/api/forms.py

billfor/alarmdecoder-webapp

43c3ebb2b44c7291cd89a2a7a31bbdfdb3ec06dc

[ "BSD-3-Clause", "MIT" ]

44

2015-02-13T19:23:37.000Z

2021-12-30T04:17:21.000Z

# -*- coding: utf-8 -*- import string from flask_wtf import FlaskForm as Form from wtforms.fields.html5 import URLField, EmailField, TelField from wtforms import (ValidationError, HiddenField, TextField, HiddenField, PasswordField, SubmitField, TextAreaField, IntegerField, RadioField, FileField, DecimalField, BooleanField, SelectField, FormField, FieldList) from wtforms.validators import (Required, Length, EqualTo, Email, NumberRange, URL, AnyOf, Optional, IPAddress) from flask_login import current_user from ..user import User from ..widgets import ButtonField class APIKeyForm(Form): pass

34.833333

81

0.773525

69

627

6.985507

0.710145

0.068465

0

0.003759

0.151515

627

18

82

34.833333

0.902256

0.033493

0

1

0

true

0.153846

0.615385

0

0.692308

0

null

0

null

0

1

0

1

0

4

2604cf6f50e982afd7ab5c70c9417b6682140a5d

6,513

py

Python

tests/test_facade.py

seucolega/lista-de-listas-cli

48815fac9cf3332c5e4fbc935d6ddd09be2738a8

[ "MIT" ]

null

tests/test_facade.py

seucolega/lista-de-listas-cli

48815fac9cf3332c5e4fbc935d6ddd09be2738a8

[ "MIT" ]

null

tests/test_facade.py

seucolega/lista-de-listas-cli

48815fac9cf3332c5e4fbc935d6ddd09be2738a8

[ "MIT" ]

null

import facade import pytest import schemas @pytest.fixture(autouse=True) def configure_db_session(db_session): facade.db_session = db_session def test_get_item_list__empty(): assert facade.get_item_list() == [] def test_get_item_list__with_item(item_1): assert facade.get_item_list() == [item_1] def test_get_actionable_items__empty(): assert facade.get_actionable_items() == [] def test_get_actionable_items__with_a_done_item(done_item_1): assert facade.get_actionable_items() == [] def test_get_actionable_items__with_done_and_undone_items( done_item_1, undone_item_1 ): assert facade.get_actionable_items() == [undone_item_1] def test_get_actionable_items_with_the_tag__empty(tag_1): assert facade.get_actionable_items_with_the_tag(tag_1) == [] def test_get_inbox_items__empty(): assert facade.get_inbox_items() == [] def test_get_inbox_items__with_a_done_item(done_item_1): assert facade.get_inbox_items() == [] def test_get_inbox_items__with_done_and_undone_items( done_item_1, undone_item_1 ): assert facade.get_inbox_items() == [undone_item_1] def test_get_inbox_items__with_a_undone_and_tagged_item(undone_item_1, tag_1): undone_item_1.tags = [tag_1] assert facade.get_inbox_items() == [] def test_get_actionable_items_with_the_tag__with_a_done_item( tag_1, done_item_1 ): assert facade.get_actionable_items_with_the_tag(tag_1) == [] def test_get_actionable_items_with_the_tag__with_items_without_the_tag( tag_1, done_item_1, undone_item_1 ): assert facade.get_actionable_items_with_the_tag(tag_1) == [] def test_get_actionable_items_with_the_tag__with_items_and_the_tag( tag_1, done_item_1, undone_item_1 ): tag_1.items = [done_item_1, undone_item_1] assert facade.get_actionable_items_with_the_tag(tag_1) == [undone_item_1] def test_get_item(item_1): assert facade.get_item(item_id=item_1.id) == item_1 def test_create_item(): item = schemas.ItemCreate(name='Something') assert facade.create_item(item=item).id @pytest.mark.parametrize('status', [*schemas.ItemStatus]) def test_set_item_status(item_1, status): facade.set_item_status(item=item_1, status=status) assert item_1.status == status def test_get_tag_list__empty(): assert facade.get_tag_list() == [] def test_get_list_of_tags_with_items(item_1, tag_1, tag_2): item_1.tags = [tag_1] assert facade.get_list_of_tags_with_items() == [tag_1] def test_get_actionable_tag_list(tag_1, child_tag_1_of_parent_tag_1): result = facade.get_actionable_tag_list() assert result == [tag_1, child_tag_1_of_parent_tag_1] def test_get_tag_list__with_item(db_session, tag_1): assert facade.get_tag_list() == [tag_1] def test_get_tag_list_without_parent( parent_tag_1, child_tag_1_of_parent_tag_1 ): assert facade.get_tag_list_without_parent() == [parent_tag_1] def test_get_tag(tag_1): assert facade.get_tag(tag_id=tag_1.id) == tag_1 def test_create_tag(): tag = schemas.TagCreate(name='Tag Name') assert facade.create_tag(tag=tag).id def test_get_tag_by_name__case_insensitive(tag_1): tag_1.name = 'Next Actions' assert facade.get_tag_by_name('next actions') def test_get_tag_by_name__not_found(tag_1): tag_1.name = 'Next Actions' assert not facade.get_tag_by_name('waiting') def test_get_item_text_to_show__item_name_without_tags(item_1): item_1.name = 'Item name' item_1.tags = [] assert facade.get_item_text_to_show(item_1) == item_1.name def test_get_item_text_to_show__item_with_one_tag(item_1, tag_1): item_1.name = 'Item name' item_1.tags = [tag_1] tag_1.name = 'Waiting' expected = 'Item name @Waiting' assert facade.get_item_text_to_show(item_1) == expected def test_get_item_text_to_show__item_with_one_spaced_tag(item_1, tag_1): item_1.name = 'Item name' item_1.tags = [tag_1] tag_1.name = 'First Tag' expected = 'Item name @First_Tag' assert facade.get_item_text_to_show(item_1) == expected def test_get_item_text_to_show__item_with_two_tags(item_1, tag_1, tag_2): item_1.name = 'Item name' item_1.tags = [tag_1, tag_2] tag_1.name = 'First Tag' tag_2.name = 'Second Tag' expected = 'Item name @First_Tag @Second_Tag' assert facade.get_item_text_to_show(item_1) == expected def test_get_item_text_to_show__item_with_one_tag_and_context(item_1, tag_1): item_1.name = 'Item name' item_1.tags = [tag_1] tag_1.name = 'Waiting' result = facade.get_item_text_to_show(item=item_1, context=tag_1) expected = 'Item name' assert result == expected def test_get_item_text_to_show__item_with_two_tags_and_context( item_1, tag_1, tag_2 ): item_1.name = 'Item name' item_1.tags = [tag_1, tag_2] tag_1.name = 'First Tag' tag_2.name = 'Second Tag' result = facade.get_item_text_to_show(item=item_1, context=tag_1) expected = 'Item name @Second_Tag' assert result == expected def test_get_tag_text_to_show__tag_without_parent_tag(tag_1): assert facade.get_tag_text_to_show(tag_1) == tag_1.name def test_get_tag_text_to_show__item_with_parent_tag( parent_tag_1, child_tag_1_of_parent_tag_1 ): child_tag_1_of_parent_tag_1.name = 'Tag name' parent_tag_1.name = 'Waiting' expected = 'Tag name @Waiting' assert facade.get_tag_text_to_show(child_tag_1_of_parent_tag_1) == expected def test_get_tag_text_to_show__item_with_one_spaced_tag( parent_tag_1, child_tag_1_of_parent_tag_1 ): child_tag_1_of_parent_tag_1.name = 'Tag name' parent_tag_1.name = 'Parent Tag' expected = 'Tag name @Parent_Tag' assert facade.get_tag_text_to_show(child_tag_1_of_parent_tag_1) == expected def test_get_tag_text_to_show__item_with_one_tag_and_context( parent_tag_1, child_tag_1_of_parent_tag_1 ): child_tag_1_of_parent_tag_1.name = 'Tag name' parent_tag_1.name = 'Waiting' result = facade.get_tag_text_to_show( tag=child_tag_1_of_parent_tag_1, context=parent_tag_1 ) expected = 'Tag name' assert result == expected def test_get_list_of_tags_with_actionable_items__with_a_done_item( done_item_1, tag_1 ): done_item_1.tags = [tag_1] assert facade.get_list_of_tags_with_actionable_items() == [] def test_get_list_of_tags_with_actionable_items__with_an_undone_item( undone_item_1, tag_1 ): undone_item_1.tags = [tag_1] assert facade.get_list_of_tags_with_actionable_items() == [tag_1]

24.484962

79

0.76094

1,118

6,513

3.853309

0.059034

0.077066

0.078923

0.066852

0.831012

0.774838

0.733983

0.642758

0.595868

0.533658

0

0.026534

0.149394

6,513

265

80

24.577358

0.751083

0

0.428571

0

0.057424

0

0.24026

1

0.246753

false

0

0.019481

0

0.266234

0

null

0

1

0

null

0

1

0

4

260b70a7a637b6e3448163b26c95e89556398218

70

py

Python

24/aoc24-1-cython.py

combs/AdventOfCode2021

925df8a3526cb9c0dde368cf828673f345096e06

[ "MIT" ]

null

24/aoc24-1-cython.py

combs/AdventOfCode2021

925df8a3526cb9c0dde368cf828673f345096e06

[ "MIT" ]

null

24/aoc24-1-cython.py

combs/AdventOfCode2021

925df8a3526cb9c0dde368cf828673f345096e06

[ "MIT" ]

null

import pyximport pyximport.install() from aoc24 import do_it do_it()

11.666667

23

0.8

11

70

4.909091

0.636364

0.148148

0

0.032787

0.128571

70

5

24

14

0.852459

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

263f1ba2adc1731ba0f7b0bae1afb72287535d53

11,877

py

Python

Vaccine_page/vaccine_maps_population.py

ScilifelabDataCentre/Covid_portal_vis

f41c1fe3b3d271b4d414378d622443f066a69d71

[ "MIT" ]

null

Vaccine_page/vaccine_maps_population.py

ScilifelabDataCentre/Covid_portal_vis

f41c1fe3b3d271b4d414378d622443f066a69d71

[ "MIT" ]

2

2021-02-24T11:59:16.000Z

2021-04-27T07:48:50.000Z

Vaccine_page/vaccine_maps_population.py

ScilifelabDataCentre/Covid_portal_vis

f41c1fe3b3d271b4d414378d622443f066a69d71

[ "MIT" ]

7

2021-02-18T14:50:03.000Z

2021-11-11T11:41:07.000Z

import plotly.express as px import plotly.graph_objects as go import pandas as pd import json import os from vaccine_dataprep_Swedentots import ( df_vacc_lan, # data on 1st 2 doses third_vacc_dose_lan, # data on 3rd dose # df_vacc_ålders_lan, # a switch to age data for 1st and second doses? SCB_population, # raw population counts for each lan ) # map with open("sweden-counties.geojson", "r") as sw: jdata = json.load(sw) # dictionary to match data and map counties_id_map = {} for feature in jdata["features"]: feature["id"] = feature["properties"]["cartodb_id"] counties_id_map[feature["properties"]["name"]] = feature["id"] # data to match to map (make 3 maps ultimately, with each data frame linked to a new map) # df_vacc_lan = df_vacc_ålders_lan #if we switch, we need to do this and get rid of date stuff and switch to using totals instead # Need to make calculation based on population data - need to match SCB population data df_vacc_lan = pd.merge( df_vacc_lan, SCB_population, how="left", left_on="Region", right_on="Lan" ) df_vacc_lan["Vacc_perc_population"] = ( df_vacc_lan["Antal vaccinerade"] / df_vacc_lan["Population"] ) * 100 third_vacc_dose_lan = pd.merge( third_vacc_dose_lan, SCB_population, how="left", left_on="Region", right_on="Lan" ) third_vacc_dose_lan["Vacc_perc_population"] = ( third_vacc_dose_lan["Antal vaccinerade"] / third_vacc_dose_lan["Population"] ) * 100 # first two doses one_dose_lan_pop = df_vacc_lan[ (df_vacc_lan["date"] == df_vacc_lan["date"].max()) # (df_vacc_lan["Åldersgrupp"] == "Totalt") & (df_vacc_lan["Vaccinationsstatus"] == "Minst 1 dos") ] one_dose_lan_pop.drop( one_dose_lan_pop[(one_dose_lan_pop["Region"] == "Sweden")].index, inplace=True ) one_dose_lan_pop = one_dose_lan_pop.replace("Minst 1 dos", "One dose") two_dose_lan_pop = df_vacc_lan[ (df_vacc_lan["date"] == df_vacc_lan["date"].max()) # (df_vacc_lan["Åldersgrupp"] == "Totalt") & (df_vacc_lan["Vaccinationsstatus"] == "Minst 2 doser") ] two_dose_lan_pop.drop( two_dose_lan_pop[(two_dose_lan_pop["Region"] == "Sweden")].index, inplace=True ) two_dose_lan_pop = two_dose_lan_pop.replace("Minst 2 doser", "Two doses") # third dose third_vacc_dose_lan_pop = third_vacc_dose_lan[ (third_vacc_dose_lan["Åldersgrupp"] == "Totalt") ] third_vacc_dose_lan_pop.drop( third_vacc_dose_lan_pop[(third_vacc_dose_lan_pop["Region"] == "Sweden")].index, inplace=True, ) third_vacc_dose_lan_pop = third_vacc_dose_lan_pop.replace("3 doser", "Three doses") # Tie each dataframe to the map # one dose one_dose_lan_pop["id"] = one_dose_lan_pop["Region"].apply(lambda x: counties_id_map[x]) # two doses two_dose_lan_pop["id"] = two_dose_lan_pop["Region"].apply(lambda x: counties_id_map[x]) # three doses third_vacc_dose_lan_pop["id"] = third_vacc_dose_lan_pop["Region"].apply( lambda x: counties_id_map[x] ) # print(one_dose_lan_pop) # print(two_dose_lan_pop) # print(third_vacc_dose_lan_pop) map_colour = px.colors.diverging.RdBu map_colour[5] = "rgb(255,255,204)" splits = [0.00, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.0] lat_foc = 62.45 lon_foc = 20.5 # One dose onedose_pop_map_plot = px.choropleth( one_dose_lan_pop, geojson=jdata, locations="id", color=one_dose_lan_pop["Vacc_perc_population"], # Below gives discrete colours for ranges color_continuous_scale=[ (splits[0], map_colour[10]), (splits[1], map_colour[10]), (splits[1], map_colour[9]), (splits[2], map_colour[9]), (splits[2], map_colour[8]), (splits[3], map_colour[8]), (splits[3], map_colour[7]), (splits[4], map_colour[7]), (splits[4], map_colour[6]), (splits[5], map_colour[6]), (splits[5], map_colour[5]), (splits[6], map_colour[5]), (splits[6], map_colour[4]), (splits[7], map_colour[4]), (splits[7], map_colour[3]), (splits[8], map_colour[3]), (splits[8], map_colour[2]), (splits[9], map_colour[2]), (splits[9], map_colour[1]), (splits[10], map_colour[1]), ], # this keeps the range of colours constant regardless of data range_color=[0, 100], scope="europe", hover_name="Region", hover_data={ "Vacc_perc_population": ":.2f", "Vaccinationsstatus": True, # ":.2f", "id": False, }, labels={ "Vacc_perc_population": "Percentage of population vaccinated (%)", "Vaccinationsstatus": " Number of Doses", }, ) # this section deals with the exact focus on the map onedose_pop_map_plot.update_layout( geo=dict( lonaxis_range=[20, 90], # the logitudinal range to consider lataxis_range=[48, 100], # the logitudinal range to consider projection_scale=4.55, # this is kind of like zoom center=dict(lat=lat_foc, lon=lon_foc), # this will center on the point visible=False, ) ) onedose_pop_map_plot.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0}) onedose_pop_map_plot.update_layout(dragmode=False) # The below labels the colourbar categories onedose_pop_map_plot.update_layout( coloraxis_colorbar=dict( title="" + "Percentage of population vaccinated with one dose" + "", tickvals=[5, 15, 25, 35, 45, 55, 65, 75, 85, 95], ticktext=[ "00.00 - 9.99%", "10.00 - 19.99%", "20.00 - 29.99%", "30.00 - 39.99%", "40.00 - 49.99%", "50.00 - 59.99%", "60.00 - 69.99%", "70.00 - 79.99%", "80.00 - 89.99%", "90.00 - 100.00%", ], x=0.51, y=0.40, thicknessmode="pixels", thickness=10, lenmode="pixels", len=285, ), font=dict(size=14), ) onedose_pop_map_plot.update_traces(marker_line_color="white") # onedose_pop_map_plot.show() # two doses twodoses_pop_map_plot = px.choropleth( two_dose_lan_pop, geojson=jdata, locations="id", color=two_dose_lan_pop["Vacc_perc_population"], # Below gives discrete colours for ranges color_continuous_scale=[ (splits[0], map_colour[10]), (splits[1], map_colour[10]), (splits[1], map_colour[9]), (splits[2], map_colour[9]), (splits[2], map_colour[8]), (splits[3], map_colour[8]), (splits[3], map_colour[7]), (splits[4], map_colour[7]), (splits[4], map_colour[6]), (splits[5], map_colour[6]), (splits[5], map_colour[5]), (splits[6], map_colour[5]), (splits[6], map_colour[4]), (splits[7], map_colour[4]), (splits[7], map_colour[3]), (splits[8], map_colour[3]), (splits[8], map_colour[2]), (splits[9], map_colour[2]), (splits[9], map_colour[1]), (splits[10], map_colour[1]), ], # this keeps the range of colours constant regardless of data range_color=[0, 100], scope="europe", hover_name="Region", hover_data={ "Vacc_perc_population": ":.2f", "Vaccinationsstatus": True, # ":.2f", "id": False, }, labels={ "Vacc_perc_population": "Percentage of population vaccinated (%)", "Vaccinationsstatus": " Number of Doses", }, ) # # this section deals with the exact focus on the map twodoses_pop_map_plot.update_layout( geo=dict( lonaxis_range=[20, 90], # the logitudinal range to consider lataxis_range=[48, 100], # the logitudinal range to consider projection_scale=4.55, # this is kind of like zoom center=dict(lat=lat_foc, lon=lon_foc), # this will center on the point visible=False, ) ) twodoses_pop_map_plot.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0}) twodoses_pop_map_plot.update_layout(dragmode=False) # The below labels the colourbar categories twodoses_pop_map_plot.update_layout( coloraxis_colorbar=dict( title="" + "Percentage of population vaccinated with two doses" + "", tickvals=[5, 15, 25, 35, 45, 55, 65, 75, 85, 95], ticktext=[ "00.00 - 9.99%", "10.00 - 19.99%", "20.00 - 29.99%", "30.00 - 39.99%", "40.00 - 49.99%", "50.00 - 59.99%", "60.00 - 69.99%", "70.00 - 79.99%", "80.00 - 89.99%", "90.00 - 100.00%", ], x=0.51, y=0.40, thicknessmode="pixels", thickness=10, lenmode="pixels", len=285, ), font=dict(size=14), ) twodoses_pop_map_plot.update_traces(marker_line_color="white") # twodoses_pop_map_plot.show() # three doses threedoses_pop_map_plot = px.choropleth( third_vacc_dose_lan_pop, geojson=jdata, locations="id", color=third_vacc_dose_lan_pop["Vacc_perc_population"], # Below gives discrete colours for ranges color_continuous_scale=[ (splits[0], map_colour[10]), (splits[1], map_colour[10]), (splits[1], map_colour[9]), (splits[2], map_colour[9]), (splits[2], map_colour[8]), (splits[3], map_colour[8]), (splits[3], map_colour[7]), (splits[4], map_colour[7]), (splits[4], map_colour[6]), (splits[5], map_colour[6]), (splits[5], map_colour[5]), (splits[6], map_colour[5]), (splits[6], map_colour[4]), (splits[7], map_colour[4]), (splits[7], map_colour[3]), (splits[8], map_colour[3]), (splits[8], map_colour[2]), (splits[9], map_colour[2]), (splits[9], map_colour[1]), (splits[10], map_colour[1]), ], # this keeps the range of colours constant regardless of data range_color=[0, 100], scope="europe", hover_name="Region", hover_data={ "Vacc_perc_population": ":.2f", "Vaccinationsstatus": True, # ":.2f", "id": False, }, labels={ "Vacc_perc_population": "Percentage of population vaccinated (%)", "Vaccinationsstatus": " Number of Doses", }, ) # this section deals with the exact focus on the map threedoses_pop_map_plot.update_layout( geo=dict( lonaxis_range=[20, 90], # the logitudinal range to consider lataxis_range=[48, 100], # the logitudinal range to consider projection_scale=4.55, # this is kind of like zoom center=dict(lat=lat_foc, lon=lon_foc), # this will center on the point visible=False, ) ) threedoses_pop_map_plot.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0}) threedoses_pop_map_plot.update_layout(dragmode=False) # The below labels the colourbar categories threedoses_pop_map_plot.update_layout( coloraxis_colorbar=dict( title="" + "Percentage of population vaccinated with three doses" + "", tickvals=[5, 15, 25, 35, 45, 55, 65, 75, 85, 95], ticktext=[ "00.00 - 9.99%", "10.00 - 19.99%", "20.00 - 29.99%", "30.00 - 39.99%", "40.00 - 49.99%", "50.00 - 59.99%", "60.00 - 69.99%", "70.00 - 79.99%", "80.00 - 89.99%", "90.00 - 100.00%", ], x=0.51, y=0.40, thicknessmode="pixels", thickness=10, lenmode="pixels", len=285, ), font=dict(size=14), ) threedoses_pop_map_plot.update_traces(marker_line_color="white") # threedoses_pop_map_plot.show() if not os.path.isdir("Plots/"): os.mkdir("Plots/") # write out FoHM graphs onedose_pop_map_plot.write_json("Plots/onedose_pop_map.json") twodoses_pop_map_plot.write_json("Plots/twodose_pop_map.json") threedoses_pop_map_plot.write_json("Plots/threedose_pop_map.json")

31.841823

129

0.613707

1,706

11,877

4.028722

0.147128

0.081187

0.048014

0.044231

0.783501

0.741161

0.714826

0.670886

0.647461

0

0.065502

0.233897

11,877

372

130

31.927419

0.689856

0.155258

0

0.664474

0

0.17183

0.024762

0

1

0

false

0

0.019737

0

0.019737

0

null

0

1

0

1

0

null

0

4

26406e10e1297a7c9003be939dfb3100b8150501

9,995

py

Python

stanCode_Projects/my_photoshop/blur.py

EricCheng8679/sc-projects

85f478ecf4c04f3ee79fd4c911a7122b286aff06

[ "MIT" ]

null

stanCode_Projects/my_photoshop/blur.py

EricCheng8679/sc-projects

85f478ecf4c04f3ee79fd4c911a7122b286aff06

[ "MIT" ]

null

stanCode_Projects/my_photoshop/blur.py

EricCheng8679/sc-projects

85f478ecf4c04f3ee79fd4c911a7122b286aff06

[ "MIT" ]

null

""" File: blur.py ------------------------------- This file shows the original image(smiley-face.png) first, and then its blurred image. The blur algorithm uses the average RGB values of a pixel's nearest neighbors. """ from simpleimage import SimpleImage BLURRED_SCALE = 9 def blur(old_img): """ :param old_img: a original image :return: a blurred image """ blur_img = SimpleImage.blank(old_img.width, old_img.height) for x in range(old_img.width): for y in range(old_img.height): if x == 0 and y == 0: # Upper left corner old_pixel_00 = old_img.get_pixel(x, y) # Reference point old_pixel_s = old_img.get_pixel(x, y + 1) # South old_pixel_e = old_img.get_pixel(x + 1, y) # East old_pixel_se = old_img.get_pixel(x + 1, y + 1) # Southeast blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_00.red + old_pixel_s.red + old_pixel_e.red + old_pixel_se.red) // 4 blur_pixel.green = (old_pixel_00.green + old_pixel_s.green + old_pixel_e.green + old_pixel_se.green) \ // 4 blur_pixel.blue = (old_pixel_00.blue + old_pixel_s.blue + old_pixel_e.blue + old_pixel_se.blue) // 4 elif x == 0 and y == old_img.height - 1: # Bottom left old_pixel_0h = old_img.get_pixel(x, y) old_pixel_n = old_img.get_pixel(x, y - 1) # North old_pixel_e = old_img.get_pixel(x + 1, y) old_pixel_ne = old_img.get_pixel(x + 1, y - 1) # Northeast blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_0h.red + old_pixel_n.red + old_pixel_e.red + old_pixel_ne.red) // 4 blur_pixel.green = (old_pixel_0h.green + old_pixel_n.green + old_pixel_e.green + old_pixel_ne.green) \ // 4 blur_pixel.blue = (old_pixel_0h.blue + old_pixel_n.blue + old_pixel_e.blue + old_pixel_ne.blue) // 4 elif x == old_img.width - 1 and y == 0: # Upper right corner old_pixel_w0 = old_img.get_pixel(x, y) old_pixel_s = old_img.get_pixel(x, y + 1) old_pixel_w = old_img.get_pixel(x - 1, y) # West old_pixel_sw = old_img.get_pixel(x - 1, y + 1) # Southwest blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_w0.red + old_pixel_s.red + old_pixel_w.red + old_pixel_sw.red) // 4 blur_pixel.green = (old_pixel_w0.green + old_pixel_s.green + old_pixel_w.green + old_pixel_sw.green) \ // 4 blur_pixel.blue = (old_pixel_w0.blue + old_pixel_s.blue + old_pixel_w.blue + old_pixel_sw.blue) // 4 elif x == old_img.width - 1 and y == old_img.height - 1: # Bottom right corner old_pixel_wh = old_img.get_pixel(x, y) old_pixel_n = old_img.get_pixel(x, y - 1) old_pixel_w = old_img.get_pixel(x - 1, y) old_pixel_nw = old_img.get_pixel(x - 1, y - 1) # Northwest blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_wh.red + old_pixel_n.red + old_pixel_w.red + old_pixel_nw.red) // 4 blur_pixel.green = (old_pixel_wh.green + old_pixel_n.green + old_pixel_w.green + old_pixel_nw.green) \ // 4 blur_pixel.blue = (old_pixel_wh.blue + old_pixel_n.blue + old_pixel_w.blue + old_pixel_nw.blue) // 4 elif x == 0 and y != 0 and y != old_img.height - 1: # Left side except for head and tail old_pixel_0y = old_img.get_pixel(x, y) old_pixel_n = old_img.get_pixel(x, y - 1) old_pixel_s = old_img.get_pixel(x, y + 1) old_pixel_ne = old_img.get_pixel(x + 1, y - 1) old_pixel_e = old_img.get_pixel(x + 1, y) old_pixel_se = old_img.get_pixel(x + 1, y + 1) blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_0y.red + old_pixel_n.red + old_pixel_s.red + old_pixel_ne.red + old_pixel_e.red + old_pixel_se.red) // 6 blur_pixel.green = (old_pixel_0y.green + old_pixel_n.green + old_pixel_s.green + old_pixel_ne.green + old_pixel_e.green + old_pixel_se.green) // 6 blur_pixel.blue = (old_pixel_0y.blue + old_pixel_n.blue + old_pixel_s.blue + old_pixel_ne.blue + old_pixel_e.blue + old_pixel_se.blue) // 6 elif y == 0 and x != 0 and x != old_img.width - 1: # Top except for head and tail old_pixel_x0 = old_img.get_pixel(x, y) old_pixel_w = old_img.get_pixel(x - 1, y) old_pixel_sw = old_img.get_pixel(x - 1, y + 1) old_pixel_s = old_img.get_pixel(x, y + 1) old_pixel_e = old_img.get_pixel(x + 1, y) old_pixel_se = old_img.get_pixel(x + 1, y + 1) blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_x0.red + old_pixel_w.red + old_pixel_s.red + old_pixel_sw.red + old_pixel_e.red + old_pixel_se.red) // 6 blur_pixel.green = (old_pixel_x0.green + old_pixel_w.green + old_pixel_s.green + old_pixel_sw.green + old_pixel_e.green + old_pixel_se.green) // 6 blur_pixel.blue = (old_pixel_x0.blue + old_pixel_w.blue + old_pixel_s.blue + old_pixel_sw.blue + old_pixel_e.blue + old_pixel_se.blue) // 6 elif x == old_img.width - 1 and y != 0 and y != old_img.height - 1: # right side except for head and tail old_pixel_wy = old_img.get_pixel(x, y) old_pixel_n = old_img.get_pixel(x, y - 1) old_pixel_nw = old_img.get_pixel(x - 1, y - 1) old_pixel_w = old_img.get_pixel(x - 1, y) old_pixel_sw = old_img.get_pixel(x - 1, y + 1) old_pixel_s = old_img.get_pixel(x, y + 1) blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_wy.red + old_pixel_n.red + old_pixel_s.red + old_pixel_nw.red + old_pixel_w.red + old_pixel_sw.red) // 6 blur_pixel.green = (old_pixel_wy.green + old_pixel_n.green + old_pixel_s.green + old_pixel_nw.green + old_pixel_w.green + old_pixel_sw.green) // 6 blur_pixel.blue = (old_pixel_wy.blue + old_pixel_n.blue + old_pixel_s.blue + old_pixel_nw.blue + old_pixel_w.blue + old_pixel_sw.blue) // 6 elif y == old_img.height - 1 and x != 0 and x != old_img.width - 1: # Bottom except for head and tail old_pixel_xh = old_img.get_pixel(x, y) old_pixel_w = old_img.get_pixel(x - 1, y) old_pixel_nw = old_img.get_pixel(x - 1, y - 1) old_pixel_n = old_img.get_pixel(x, y - 1) old_pixel_ne = old_img.get_pixel(x + 1, y - 1) old_pixel_e = old_img.get_pixel(x + 1, y) blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_xh.red + old_pixel_w.red + old_pixel_nw.red + old_pixel_n.red + old_pixel_e.red + old_pixel_ne.red) // 6 blur_pixel.green = (old_pixel_xh.green + old_pixel_w.green + old_pixel_nw.green + old_pixel_n.green + old_pixel_e.green + old_pixel_ne.green) // 6 blur_pixel.blue = (old_pixel_xh.blue + old_pixel_w.blue + old_pixel_nw.blue + old_pixel_n.blue + old_pixel_e.blue + old_pixel_ne.blue) // 6 else: # middle parts having 8 neighbors old_pixel_xy = old_img.get_pixel(x, y) old_pixel_w = old_img.get_pixel(x - 1, y) old_pixel_nw = old_img.get_pixel(x - 1, y - 1) old_pixel_n = old_img.get_pixel(x, y - 1) old_pixel_ne = old_img.get_pixel(x + 1, y - 1) old_pixel_s = old_img.get_pixel(x, y + 1) old_pixel_sw = old_img.get_pixel(x - 1, y + 1) old_pixel_e = old_img.get_pixel(x + 1, y) old_pixel_se = old_img.get_pixel(x + 1, y + 1) blur_pixel = blur_img.get_pixel(x, y) blur_pixel.red = (old_pixel_xy.red + old_pixel_w.red + old_pixel_nw.red + old_pixel_n.red + old_pixel_e.red + old_pixel_ne.red + old_pixel_s.red + old_pixel_sw.red + old_pixel_se.red) // 9 blur_pixel.green = (old_pixel_xy.green + old_pixel_w.green + old_pixel_nw.green + old_pixel_n.green + old_pixel_e.green + old_pixel_ne.green + old_pixel_s.green + old_pixel_sw.green + old_pixel_se.green) // 9 blur_pixel.blue = (old_pixel_xy.blue + old_pixel_w.blue + old_pixel_nw.blue + old_pixel_n.blue + old_pixel_e.blue + old_pixel_ne.blue + old_pixel_s.blue + old_pixel_sw.blue + old_pixel_se.blue) // 9 return blur_img def main(): """ This program blurs a image. The practical approach is to find average values of RGB with adjacent pixels Then,it would show the blurred one by repeating the above approach some times. """ old_img = SimpleImage("images/smiley-face.png") old_img.show() blurred_img = blur(old_img) for i in range(BLURRED_SCALE): blurred_img = blur(blurred_img) blurred_img.show() if __name__ == '__main__': main()

63.66242

118

0.561681

1,555

9,995

3.237942

0.076527

0.31142

0.126713

0.138232

0.8143

0.798014

0.794836

0.685601

0.669712

0.576763

0

0.019551

0.33987

9,995

156

119

64.070513

0.743559

0.076538

0

0.44697

0

0.003273

0.0024

0

1

0.015152

false

0

0.007576

0

0.030303

0

null

1

0

1

0

null

0

4

13fb266bbbe1b42018ffaaf4a8dc92668ab6d95f

137

py

Python

src/__init__.py

gitlabbin/zookeeper-kazoo-barrier-snippet

2ab88fa3735b61dd9a94e0e0294e88a12c458ee3

[ "MIT" ]

null

src/__init__.py

gitlabbin/zookeeper-kazoo-barrier-snippet

2ab88fa3735b61dd9a94e0e0294e88a12c458ee3

[ "MIT" ]

null

src/__init__.py

gitlabbin/zookeeper-kazoo-barrier-snippet

2ab88fa3735b61dd9a94e0e0294e88a12c458ee3

[ "MIT" ]

null

#!/usr/bin/env python from __future__ import absolute_import def main(): import src.barrier if __name__ == '__main__': main()

13.7

38

0.693431

18

137

4.555556

0.777778

0

0.189781

137

10

39

13.7

0.738739

0.145985

0

0.068376

0

1

0.2

true

0

0.4

0

0.6

0

1

0

null

0

null

0

1

0

1

0

1

0

4

cd08e9d07146abb0712c59ab83d9a3d247ba38c2

27

py

Python

tool/klint/bpf/__init__.py

kylerky/klint

77be216ec3f4315a835b7bcdaef1b66ed3144603

[ "MIT" ]

2

2022-03-08T16:10:27.000Z

2022-03-11T14:14:04.000Z

tool/klint/bpf/__init__.py

kylerky/klint

77be216ec3f4315a835b7bcdaef1b66ed3144603

[ "MIT" ]

null

tool/klint/bpf/__init__.py

kylerky/klint

77be216ec3f4315a835b7bcdaef1b66ed3144603

[ "MIT" ]

1

2022-03-24T09:27:41.000Z

""" BPF-related stuff. """

6.75

18

0.555556

3

27

5

1

0

0.148148

27

3

19

9

0.652174

0.666667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

cd592812165ebec71f40378868573e5f9eda72b9

252

py

Python

download_and_create_reference_datasets/v02/create_ht__clinvar.py

NLSVTN/hail-elasticsearch-pipelines

8b895a2e46a33d347dd2a1024101a6d515027a03

[ "MIT" ]

15

2017-11-22T14:48:04.000Z

2020-10-05T18:22:24.000Z

download_and_create_reference_datasets/v02/create_ht__clinvar.py

NLSVTN/hail-elasticsearch-pipelines

8b895a2e46a33d347dd2a1024101a6d515027a03

[ "MIT" ]

94

2020-10-21T17:37:57.000Z

2022-03-29T14:59:46.000Z

download_and_create_reference_datasets/v02/create_ht__clinvar.py

NLSVTN/hail-elasticsearch-pipelines

8b895a2e46a33d347dd2a1024101a6d515027a03

[ "MIT" ]

7

2019-01-29T09:08:10.000Z

2020-02-25T16:22:57.000Z

#!/usr/bin/env python3 from kubernetes.shell_utils import simple_run as run run(( "python3 gcloud_dataproc/v02/run_script.py " "--cluster create-ht-clinvar " "download_and_create_reference_datasets/v02/hail_scripts/write_clinvar_ht.py"))

28

83

0.77381

37

252

4.972973

0.756757

0

0.027027

0.119048

252

8

84

31.5

0.801802

0.083333

0

0.630435

0.469565

0

1

0

true

0

0.2

0

0.2

0

null

0

1

0

1

null

0

1

0

4

cd5dd7dda160122dc7f0149e4f5abf4d8e95ebe4

206

py

Python

parser/src/test/test-data/math_csc.py

luciansmith/sedml-script

d891645d0b3f89ff190fc7e719659c8e229c07da

[ "MIT" ]

null

parser/src/test/test-data/math_csc.py

luciansmith/sedml-script

d891645d0b3f89ff190fc7e719659c8e229c07da

[ "MIT" ]

null

parser/src/test/test-data/math_csc.py

luciansmith/sedml-script

d891645d0b3f89ff190fc7e719659c8e229c07da

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created by libsedmlscript v0.0.1 """ from sed_roadrunner import model, task, plot from mpmath import csc #---------------------------------------------- csc(0.5)

15.846154

48

0.475728

23

206

4.217391

0.826087

0

0.035928

0.18932

206

12

49

17.166667

0.54491

0.490291

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

1

0

4

cd7e21c2d43aa6b5ca80b05a26cc762c012f19a7

228

py

Python

data/__init__.py

opconty/keras_std

26cbe25c525128a067a97157bca0b060f40e5ec8

[ "Apache-2.0" ]

18

2019-07-16T10:54:29.000Z

2021-03-16T00:34:23.000Z

data/__init__.py

opconty/keras_std

26cbe25c525128a067a97157bca0b060f40e5ec8

[ "Apache-2.0" ]

2

2019-08-26T11:40:12.000Z

2019-12-07T13:18:48.000Z

data/__init__.py

opconty/keras_std

26cbe25c525128a067a97157bca0b060f40e5ec8

[ "Apache-2.0" ]

8

2019-07-17T08:26:10.000Z

2021-03-16T00:34:17.000Z

#-*- coding:utf-8 -*- #''' # Created on 19-7-16 下午2:14 # # @Author: Greg Gao(laygin) #''' from .synth_text import SynthTextConfig, SynthTextDataset from .icdar13 import IcdarConfig, IcdarDataset from .img_aug import resize_image

25.333333

57

0.736842

31

228

5.322581

0.870968

0

0.055

0.122807

228

9

58

25.333333

0.77

0.342105

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

cd8abd04dc151085122e27f4484b76ecb7ff52ac

225

py

Python

OnePy/sys_module/base_riskmanager.py

Chandlercjy/OnePyfx

9bd43b721d3f7352495b6ccab76bd533a3d2e8f2

[ "MIT" ]

321

2017-07-09T09:25:45.000Z

2022-03-29T16:51:35.000Z

OnePy/sys_module/base_riskmanager.py

sunzhouhong/OnePy

4e225945de297ba1211035a7b95b5094cdddc2a7

[ "MIT" ]

7

2017-08-23T12:10:29.000Z

2020-03-26T12:56:09.000Z

OnePy/sys_module/base_riskmanager.py

sunzhouhong/OnePy

4e225945de297ba1211035a7b95b5094cdddc2a7

[ "MIT" ]

134

2017-07-26T22:29:18.000Z

2022-03-23T09:22:10.000Z

from OnePy.sys_module.metabase_env import OnePyEnvBase class RiskManagerBase(OnePyEnvBase): def __init__(self): self.env.risk_managers.update({self.__class__.__name__: self}) def run(self): pass

17.307692

70

0.715556

27

225

5.407407

0.703704

0

0.191111

225

12

71

18.75

0.802198

0

1

0.333333

false

0.166667

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

1

0

4

26a4b307dfc5e770b6a75ad04eed2871c82ad2a0

174

py

Python

Python/CrashCourse/mongodb-quickstart-course/src/starter_code_snake_bnb/src/infrastructure/state.py

Mujtaba-Biyabani/Research

211f57812786a151ce8c3b1c3ed379fd1ba4e2f9

[ "Unlicense" ]

52

2017-12-06T10:44:05.000Z

2021-11-24T10:44:16.000Z

Python/CrashCourse/mongodb-quickstart-course/src/starter_code_snake_bnb/src/infrastructure/state.py

Mujtaba-Biyabani/Research

211f57812786a151ce8c3b1c3ed379fd1ba4e2f9

[ "Unlicense" ]

8

2018-01-29T08:32:34.000Z

2019-01-02T05:56:51.000Z

Python/CrashCourse/mongodb-quickstart-course/src/starter_code_snake_bnb/src/infrastructure/state.py

Mujtaba-Biyabani/Research

211f57812786a151ce8c3b1c3ed379fd1ba4e2f9

[ "Unlicense" ]

125

2018-11-20T07:56:22.000Z

2022-03-16T06:32:42.000Z

active_account = None def reload_account(): global active_account if not active_account: return # TODO: pull owner account from the database. pass

15.818182

49

0.683908

22

174

5.227273

0.727273

0.33913

0

0.270115

174

10

50

17.4

0.905512

0.247126

0

0.1

0

1

0.166667

false

0.166667

0

0.333333

0

1

0

null

1

0

null

0

1

0

1

0

4

26ab3cad8e013a6c3ea0f8a7d1ac3f6bf89a579f

24,208

py

Python

tests/core/inst_utils.py

cornell-brg/lizard

7f9a78a913e64b5cfdee3a26223539ad225bd6da

[ "BSD-3-Clause" ]

50

2019-05-22T08:43:15.000Z

2022-03-21T23:58:50.000Z

tests/core/inst_utils.py

cornell-brg/lizard

7f9a78a913e64b5cfdee3a26223539ad225bd6da

[ "BSD-3-Clause" ]

1

2019-07-27T18:51:52.000Z

2019-08-02T01:20:22.000Z

tests/core/inst_utils.py

cornell-brg/lizard

7f9a78a913e64b5cfdee3a26223539ad225bd6da

[ "BSD-3-Clause" ]

11

2019-12-26T06:00:48.000Z

2022-03-27T02:29:35.000Z

#========================================================================= # inst_utils #========================================================================= # Includes helper functions to simplify creating assembly tests. from pymtl import * from tests.context import lizard #------------------------------------------------------------------------- # print_asm #------------------------------------------------------------------------- # Pretty print a generated assembly syntax def print_asm(asm_code): # If asm_code is a single string, then put it in a list to simplify the # rest of the logic. asm_code_list = asm_code if isinstance(asm_code, str): asm_code_list = [asm_code] # Create a single list of lines asm_list = [] for asm_seq in asm_code_list: asm_list.extend(asm_seq.splitlines()) # Print the assembly. Remove duplicate blank lines. prev_blank_line = False for asm in asm_list: if asm.strip() == "": if not prev_blank_line: print asm prev_blank_line = True else: prev_blank_line = False print asm #------------------------------------------------------------------------- # gen_nops #------------------------------------------------------------------------- def gen_nops(num_nops): if num_nops > 0: return "nop\n" + (" nop\n" * (num_nops - 1)) else: return "" #------------------------------------------------------------------------- # gen_word_data #------------------------------------------------------------------------- def gen_word_data(data_list): data_str = ".data\n" for data in data_list: data_str += ".word {}\n".format(data) return data_str #------------------------------------------------------------------------- # gen_hword_data #------------------------------------------------------------------------- def gen_hword_data(data_list): data_str = ".data\n" for data in data_list: data_str += ".hword {}\n".format(data) return data_str #------------------------------------------------------------------------- # gen_byte_data #------------------------------------------------------------------------- def gen_byte_data(data_list): data_str = ".data\n" for data in data_list: data_str += ".byte {}\n".format(data) return data_str #------------------------------------------------------------------------- # gen_rr_src01_template #------------------------------------------------------------------------- # Template for register-register instructions. We first write src0 # register and then write the src1 register before executing the # instruction under test. We parameterize the number of nops after # writing both src registers and the instruction under test to enable # using this template for testing various bypass paths. We also # parameterize the register specifiers to enable using this template to # test situations where the srce registers are equal and/or equal the # destination register. def gen_rr_src01_template(num_nops_src0, num_nops_src1, num_nops_dest, reg_src0, reg_src1, inst, src0, src1, result): return """ # Move src0 value into register csrr {reg_src0}, mngr2proc < {src0} {nops_src0} # Move src1 value into register csrr {reg_src1}, mngr2proc < {src1} {nops_src1} # Instruction under test {inst} x3, {reg_src0}, {reg_src1} {nops_dest} # Check the result csrw proc2mngr, x3 > {result} """.format( nops_src0=gen_nops(num_nops_src0), nops_src1=gen_nops(num_nops_src1), nops_dest=gen_nops(num_nops_dest), **locals()) #------------------------------------------------------------------------- # gen_rr_src10_template #------------------------------------------------------------------------- # Similar to the above template, except that we reverse the order in # which we write the two src registers. def gen_rr_src10_template(num_nops_src0, num_nops_src1, num_nops_dest, reg_src0, reg_src1, inst, src0, src1, result): return """ # Move src1 value into register csrr {reg_src1}, mngr2proc < {src1} {nops_src1} # Move src0 value into register csrr {reg_src0}, mngr2proc < {src0} {nops_src0} # Instruction under test {inst} x3, {reg_src0}, {reg_src1} {nops_dest} # Check the result csrw proc2mngr, x3 > {result} """.format( nops_src0=gen_nops(num_nops_src0), nops_src1=gen_nops(num_nops_src1), nops_dest=gen_nops(num_nops_dest), **locals()) #------------------------------------------------------------------------- # gen_rr_dest_dep_test #------------------------------------------------------------------------- # Test the destination bypass path by varying how many nops are # inserted between the instruction under test and reading the destination # register with a csrr instruction. def gen_rr_dest_dep_test(num_nops, inst, src0, src1, result): return gen_rr_src01_template(0, 8, num_nops, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rr_src1_dep_test #------------------------------------------------------------------------- # Test the source 1 bypass paths by varying how many nops are inserted # between writing the src1 register and reading this register in the # instruction under test. def gen_rr_src1_dep_test(num_nops, inst, src0, src1, result): return gen_rr_src01_template(8 - num_nops, num_nops, 0, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rr_src0_dep_test #------------------------------------------------------------------------- # Test the source 0 bypass paths by varying how many nops are inserted # between writing the src0 register and reading this register in the # instruction under test. def gen_rr_src0_dep_test(num_nops, inst, src0, src1, result): return gen_rr_src10_template(num_nops, 8 - num_nops, 0, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rr_srcs_dep_test #------------------------------------------------------------------------- # Test both source bypass paths at the same time by varying how many nops # are inserted between writing both src registers and reading both # registers in the instruction under test. def gen_rr_srcs_dep_test(num_nops, inst, src0, src1, result): return gen_rr_src01_template(0, num_nops, 0, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rr_src0_eq_dest_test #------------------------------------------------------------------------- # Test situation where the src0 register specifier is the same as the # destination register specifier. def gen_rr_src0_eq_dest_test(inst, src0, src1, result): return gen_rr_src01_template(0, 0, 0, "x3", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rr_src1_eq_dest_test #------------------------------------------------------------------------- # Test situation where the src1 register specifier is the same as the # destination register specifier. def gen_rr_src1_eq_dest_test(inst, src0, src1, result): return gen_rr_src01_template(0, 0, 0, "x1", "x3", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rr_src0_eq_src1_test #------------------------------------------------------------------------- # Test situation where the src register specifiers are the same. def gen_rr_src0_eq_src1_test(inst, src, result): return gen_rr_src01_template(0, 0, 0, "x1", "x1", inst, src, src, result) #------------------------------------------------------------------------- # gen_rr_srcs_eq_dest_test #------------------------------------------------------------------------- # Test situation where all three register specifiers are the same. def gen_rr_srcs_eq_dest_test(inst, src, result): return gen_rr_src01_template(0, 0, 0, "x3", "x3", inst, src, src, result) #------------------------------------------------------------------------- # gen_rr_value_test #------------------------------------------------------------------------- # Test the actual operation of a register-register instruction under # test. We assume that bypassing has already been tested. def gen_rr_value_test(inst, src0, src1, result): return gen_rr_src01_template(0, 0, 0, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_rimm_template #------------------------------------------------------------------------- # Template for register-immediate instructions. We first write the src # register before executing the instruction under test. We parameterize # the number of nops after writing the src register and the instruction # under test to enable using this template for testing various bypass # paths. We also parameterize the register specifiers to enable using # this template to test situations where the srce registers are equal # and/or equal the destination register. def gen_rimm_template(num_nops_src, num_nops_dest, reg_src, inst, src, imm, result): return """ # Move src value into register csrr {reg_src}, mngr2proc < {src} {nops_src} # Instruction under test {inst} x3, {reg_src}, {imm} {nops_dest} # Check the result csrw proc2mngr, x3 > {result} """.format( nops_src=gen_nops(num_nops_src), nops_dest=gen_nops(num_nops_dest), **locals()) #------------------------------------------------------------------------- # gen_rimm_dest_dep_test #------------------------------------------------------------------------- # Test the destination bypass path by varying how many nops are # inserted between the instruction under test and reading the destination # register with a csrr instruction. def gen_rimm_dest_dep_test(num_nops, inst, src, imm, result): return gen_rimm_template(8, num_nops, "x1", inst, src, imm, result) #------------------------------------------------------------------------- # gen_rimm_src_dep_test #------------------------------------------------------------------------- # Test the source bypass paths by varying how many nops are inserted # between writing the src register and reading this register in the # instruction under test. def gen_rimm_src_dep_test(num_nops, inst, src, imm, result): return gen_rimm_template(num_nops, 0, "x1", inst, src, imm, result) #------------------------------------------------------------------------- # gen_rimm_src_eq_dest_test #------------------------------------------------------------------------- # Test situation where the src register specifier is the same as the # destination register specifier. def gen_rimm_src_eq_dest_test(inst, src, imm, result): return gen_rimm_template(0, 0, "x3", inst, src, imm, result) #------------------------------------------------------------------------- # gen_rimm_value_test #------------------------------------------------------------------------- # Test the actual operation of a register-immediate instruction under # test. We assume that bypassing has already been tested. def gen_rimm_value_test(inst, src, imm, result): return gen_rimm_template(0, 0, "x1", inst, src, imm, result) #------------------------------------------------------------------------- # gen_imm_template #------------------------------------------------------------------------- # Template for immediate instructions. We parameterize the number of nops # after the instruction under test to enable using this template for # testing various bypass paths. def gen_imm_template(num_nops_dest, inst, imm, result): return """ # Instruction under test {inst} x3, {imm} {nops_dest} # Check the result csrw proc2mngr, x3 > {result} """.format( nops_dest=gen_nops(num_nops_dest), **locals()) #------------------------------------------------------------------------- # gen_imm_dest_dep_test #------------------------------------------------------------------------- # Test the destination bypass path by varying how many nops are # inserted between the instruction under test and reading the destination # register with a csrr instruction. def gen_imm_dest_dep_test(num_nops, inst, imm, result): return gen_imm_template(num_nops, inst, imm, result) #------------------------------------------------------------------------- # gen_imm_value_test #------------------------------------------------------------------------- # Test the actual operation of an immediate instruction under test. We # assume that bypassing has already been tested. def gen_imm_value_test(inst, imm, result): return gen_imm_template(0, inst, imm, result) #------------------------------------------------------------------------- # gen_br2_template #------------------------------------------------------------------------- # Template for branch instructions with two sources. We test two forward # branches and one backwards branch. The way we actually do the test is # we update a register to reflect the control flow; certain bits in this # register are set at different points in the program. Then we can check # the control flow bits at the end to see if only the bits we expect are # set (i.e., the program only executed those points that we expect). Note # that test also makes sure that the instruction in the branch delay slot # is _not_ executed. # We currently need the id to create labels unique to this test. We might # eventually allow local labels (e.g., 1f, 1b) as in gas. gen_br2_template_id = 0 def gen_br2_template(num_nops_src0, num_nops_src1, reg_src0, reg_src1, inst, src0, src1, taken): # Determine the expected control flow pattern if taken: control_flow_pattern = 0b101010 else: control_flow_pattern = 0b111111 # Create unique labels global gen_br2_template_id id_a = "label_{}".format(gen_br2_template_id + 1) id_b = "label_{}".format(gen_br2_template_id + 2) id_c = "label_{}".format(gen_br2_template_id + 3) gen_br2_template_id += 3 return """ # x3 will track the control flow pattern addi x3, x0, 0 # Move src0 value into register csrr {reg_src0}, mngr2proc < {src0} {nops_src0} # Move src1 value into register csrr {reg_src1}, mngr2proc < {src1} {nops_src1} {inst} {reg_src0}, {reg_src1}, {id_a} # br -. addi x3, x3, 0b000001 # | # | {id_b}: # <---+-. addi x3, x3, 0b000010 # | | # | | {inst} {reg_src0}, {reg_src1}, {id_c} # br -+-+-. addi x3, x3, 0b000100 # | | | # | | | {id_a}: # <---' | | addi x3, x3, 0b001000 # | | # | | {inst} {reg_src0}, {reg_src1}, {id_b} # br ---' | addi x3, x3, 0b010000 # | # | {id_c}: # <-------' addi x3, x3, 0b100000 # # Check the control flow pattern csrw proc2mngr, x3 > {control_flow_pattern} """.format( nops_src0=gen_nops(num_nops_src0), nops_src1=gen_nops(num_nops_src1), **locals()) #------------------------------------------------------------------------- # gen_br2_src1_dep_test #------------------------------------------------------------------------- # Test the source 1 bypass paths by varying how many nops are inserted # between writing the src1 register and reading this register in the # instruction under test. def gen_br2_src1_dep_test(num_nops, inst, src0, src1, taken): return gen_br2_template(8 - num_nops, num_nops, "x1", "x2", inst, src0, src1, taken) #------------------------------------------------------------------------- # gen_br2_src0_dep_test #------------------------------------------------------------------------- # Test the source 0 bypass paths by varying how many nops are inserted # between writing the src0 register and reading this register in the # instruction under test. def gen_br2_src0_dep_test(num_nops, inst, src0, src1, result): return gen_br2_template(num_nops, 0, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_br2_srcs_dep_test #------------------------------------------------------------------------- # Test both source bypass paths at the same time by varying how many nops # are inserted between writing both src registers and reading both # registers in the instruction under test. def gen_br2_srcs_dep_test(num_nops, inst, src0, src1, result): return gen_br2_template(0, num_nops, "x1", "x2", inst, src0, src1, result) #------------------------------------------------------------------------- # gen_br2_src0_eq_src1_test #------------------------------------------------------------------------- # Test situation where the src register specifiers are the same. def gen_br2_src0_eq_src1_test(inst, src, result): return gen_br2_template(0, 0, "x1", "x1", inst, src, src, result) #------------------------------------------------------------------------- # gen_br2_value_test #------------------------------------------------------------------------- # Test the correct branch resolution based on various source values. def gen_br2_value_test(inst, src0, src1, taken): return gen_br2_template(0, 0, "x1", "x2", inst, src0, src1, taken) # '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' gen_jal_template_id = 0 def gen_jal_dest_dep_test(num_nops_dest): global gen_jal_template_id id_a = "label_{}".format(gen_jal_template_id + 1) gen_jal_template_id += 1 return """ # Use r3 to track the control flow pattern addi x3, x0, 0 # 0x0200 jal x1, {id_a} # 0x0204 addi x3, x3, 0b01 # 0x0208 {nops_dest} {id_a}: # Check the link address csrw proc2mngr, x1 > 0x0208 addi x3, x3, 0b10 # Only the second bit should be set if jump was taken csrw proc2mngr, x3 > 0b10 """.format( nops_dest=gen_nops(num_nops_dest), **locals()) #------------------------------------------------------------------------- # gen_ld_template #------------------------------------------------------------------------- # Template for load instructions. We first write the base register before # executing the instruction under test. We parameterize the number of # nops after writing the base register and the instruction under test to # enable using this template for testing various bypass paths. We also # parameterize the register specifiers to enable using this template to # test situations where the base register is equal to the destination # register. def gen_ld_template(num_nops_base, num_nops_dest, reg_base, inst, offset, base, result): return """ # Move base value into register csrr {reg_base}, mngr2proc < {base} {nops_base} # Instruction under test {inst} x3, {offset}({reg_base}) {nops_dest} # Check the result csrw proc2mngr, x3 > {result} """.format( nops_base=gen_nops(num_nops_base), nops_dest=gen_nops(num_nops_dest), **locals()) #------------------------------------------------------------------------- # gen_ld_dest_dep_test #------------------------------------------------------------------------- # Test the destination bypass path by varying how many nops are # inserted between the instruction under test and reading the destination # register with a csrr instruction. def gen_ld_dest_dep_test(num_nops, inst, base, result): return gen_ld_template(8, num_nops, "x1", inst, 0, base, result) #------------------------------------------------------------------------- # gen_ld_base_dep_test #------------------------------------------------------------------------- # Test the base register bypass paths by varying how many nops are # inserted between writing the base register and reading this register in # the instruction under test. def gen_ld_base_dep_test(num_nops, inst, base, result): return gen_ld_template(num_nops, 0, "x1", inst, 0, base, result) #------------------------------------------------------------------------- # gen_ld_base_eq_dest_test #------------------------------------------------------------------------- # Test situation where the base register specifier is the same as the # destination register specifier. def gen_ld_base_eq_dest_test(inst, base, result): return gen_ld_template(0, 0, "x3", inst, 0, base, result) #------------------------------------------------------------------------- # gen_ld_value_test #------------------------------------------------------------------------- # Test the actual operation of a register-register instruction under # test. We assume that bypassing has already been tested. def gen_ld_value_test(inst, offset, base, result): return gen_ld_template(0, 0, "x1", inst, offset, base, result) # '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' def sum_i(i): if i <= 0: return 0 ret = 0 for j in range(0, i + 1): ret += j return ret #------------------------------------------------------------------------- # gen_st_template #------------------------------------------------------------------------- # Template for load instructions. We first write the base register before # executing the instruction under test. We parameterize the number of # nops after writing the base register and the instruction under test to # enable using this template for testing various bypass paths. We also # parameterize the register specifiers to enable using this template to # test situations where the base register is equal to the destination # register. def gen_st_base_data_template(num_nops_data, num_nops_dest, reg_base, reg_data, inst, offset, base, data): return """ # Move base value into register csrr {reg_base}, mngr2proc < {base} csrr {reg_data}, mngr2proc < {data} {nops_data} # Instruction under test {inst} {reg_data}, {offset}({reg_base}) {nops_dest} # Check the result lwu x3, {offset}({reg_base}) csrw proc2mngr, x3 > {data} """.format( nops_data=gen_nops(num_nops_data), nops_dest=gen_nops(num_nops_dest), **locals()) def gen_st_data_base_template(num_nops_base, num_nops_dest, reg_base, reg_data, inst, offset, base, data): return """ # Move base value into register csrr {reg_data}, mngr2proc < {data} csrr {reg_base}, mngr2proc < {base} {nops_base} # Instruction under test {inst} {reg_data}, {offset}({reg_base}) {nops_dest} # Check the result lwu x3, {offset}({reg_base}) csrw proc2mngr, x3 > {data} """.format( nops_base=gen_nops(num_nops_base), nops_dest=gen_nops(num_nops_dest), **locals()) # test dependency in load of same address as store def gen_st_dest_dep_test(num_nops, inst, base, data): return gen_st_base_data_template(8, num_nops, "x1", "x2", inst, 0, base, data) def gen_st_base_dep_test(num_nops, inst, base, data): return gen_st_data_base_template(num_nops, 8, "x1", "x2", inst, 0, base, data) def gen_st_data_dep_test(num_nops, inst, base, data): return gen_st_base_data_template(num_nops, 8, "x1", "x2", inst, 0, base, data) def gen_st_base_eq_data_test(inst, base, data): return gen_st_base_data_template(0, 0, "x1", "x1", inst, 0, base, data) def gen_st_value_test(inst, offset, base, data): return gen_st_base_data_template(0, 0, "x1", "x2", inst, offset, base, data)

33.207133

80

0.527801

2,815

24,208

4.307993

0.094849

0.04156

0.052775

0.039828

0.799621

0.757153

0.722108

0.670817

0.634617

0.604684

0

0.022921

0.17457

24,208

728

81

33.252747

0.583976

0.51673

0

0.475177

0

0.322035

0.001917

0

0.002091

0

null

0

0.007092

null

0.010638

0

null

0

1

0

1

0

null

0

1

0

4

26b0dec6991fd98013cf8dc45f05ed08b2f7cb49

479

py

Python

hooks/relations/juju-info/requires.py

xenefix/RoutingPolicyRule

fb0c815c3fc049f63491a3ca56416c8ba0fe692c

[ "Apache-2.0" ]

null

hooks/relations/juju-info/requires.py

xenefix/RoutingPolicyRule

fb0c815c3fc049f63491a3ca56416c8ba0fe692c

[ "Apache-2.0" ]

null

hooks/relations/juju-info/requires.py

xenefix/RoutingPolicyRule

fb0c815c3fc049f63491a3ca56416c8ba0fe692c

[ "Apache-2.0" ]

null

from charms.reactive import RelationBase from charms.reactive import scopes from charms.reactive import hook from charms.reactive import when class TestRelation(RelationBase): scope = scopes.GLOBAL @hook('{requires:test}-relation-joined') def joined(self): self.set_state('{relation_name}.ready') @when('juju-info.ready') def test(self): self.set_local('call_count', self.get_local('call_count', 0) + 1) self.set_state('relation')

26.611111

73

0.707724

63

479

5.269841

0.47619

0.120482

0.216867

0.289157

0

0.005038

0.17119

479

17

74

28.176471

0.831234

0

0.19833

0.10856

0

1

0.153846

false

0

0.307692

0

0.615385

0

null

0

1

0

null

0

1

0

1

0

4

26c624cf265c7c07d22297b36c515787f4a26b33

92

py

Python

proton_decay_study/config/__init__.py

HEP-DL/proton_decay_study

e7b087a123b893254401f897100f656588bf0c19

[ "MIT" ]

2

2018-01-02T02:58:50.000Z

2021-11-17T07:26:25.000Z

proton_decay_study/config/__init__.py

HEP-DL/proton_decay_study

e7b087a123b893254401f897100f656588bf0c19

[ "MIT" ]

415

2017-04-27T21:16:01.000Z

2022-03-27T23:01:21.000Z

proton_decay_study/config/__init__.py

HEP-DL/proton_decay_study

e7b087a123b893254401f897100f656588bf0c19

[ "MIT" ]

2

2018-01-03T18:38:45.000Z

2019-10-03T19:27:29.000Z

class Config(object): """ Represents configuration of network training """ pass

11.5

48

0.663043

9

92

6.777778

1

0

0.23913

92

7

49

13.142857

0.871429

0.478261

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

26d8feef12cddd2dca60e0f08ac5f863599108a2

1,213

py

Python

analysis/hist_javelin.py

LiyrAstroph/MICA

2592b8ad3011880898f557a69b22cad63fcd47e0

[ "MIT" ]

1

2016-10-25T06:32:33.000Z

analysis/hist_javelin.py

LiyrAstroph/MICA

2592b8ad3011880898f557a69b22cad63fcd47e0

[ "MIT" ]

null

analysis/hist_javelin.py

LiyrAstroph/MICA

2592b8ad3011880898f557a69b22cad63fcd47e0

[ "MIT" ]

3

2016-12-29T06:04:13.000Z

2020-04-12T11:48:42.000Z

import numpy as np import matplotlib.pyplot as plt import corner mcmc = np.loadtxt("mychain1.dat") ntheta = mcmc.shape[1] fig = plt.figure(1, figsize=(15, 6)) ax = fig.add_subplot(231) ax.hist(mcmc[:, 0]/np.log(10.0), 100, normed=True, range=(-0.9, -0.1)) ax = fig.add_subplot(232) ax.hist(mcmc[:, 1]/np.log(10.0), 100, normed=True, range=(0.0, 2.0)) ax = fig.add_subplot(234) ax.hist(mcmc[:, 2], 100, normed=True, range=(1.0, 2.8)) ax = fig.add_subplot(235) ax.hist(mcmc[:, 3], 100, normed=True, range=(0.0, 1.2)) ax = fig.add_subplot(236) ax.hist(mcmc[:, 4], 100, normed=True, range=(5, 13)) mcmc = np.loadtxt("../data/mcmc.txt") ntheta = mcmc.shape[1] nb = 20000 fig = plt.figure(2, figsize=(15, 6)) ax = fig.add_subplot(231) ax.hist( (mcmc[nb:, 1]+0.5*mcmc[nb:, 2]-0.5*np.log(2.0))/np.log(10.0), 100, normed=True, range=(-0.9, -0.1)) ax = fig.add_subplot(232) ax.hist(mcmc[nb:, 2]/np.log(10), 100, normed=True, range=(0.0, 2.0)) ax = fig.add_subplot(234) ax.hist(mcmc[nb:, 5], 100, normed=True, range=(1.0, 2.8)) ax = fig.add_subplot(235) ax.hist(mcmc[nb:, 3], 100, normed=True, range=(0.0, 1.2)) ax = fig.add_subplot(236) ax.hist(mcmc[nb:, 4], 100, normed=True, range=(5, 13)) plt.show()

24.26

108

0.635614

245

1,213

3.106122

0.195918

0.065703

0.105125

0.197109

0.720105

0.662286

0.651774

0

0.133333

0.122012

1,213

49

109

24.755102

0.581221

0

0.387097

0

0.023083

0

1

0

false

0

0.096774

0

0.096774

0

null

0

1

0

1

0

1

0

null

0

4

26fd4d122991c7a14eaad9bffe766e315791616a

90

py

Python

root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py

ChyiYaqing/chyidlTutorial

77e7f6f84f21537a58a8a8a42e31cf2e3dd31996

[ "MIT" ]

5

2018-10-17T05:57:39.000Z

2021-07-05T15:38:24.000Z

root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py

ChyiYaqing/chyidlTutorial

77e7f6f84f21537a58a8a8a42e31cf2e3dd31996

[ "MIT" ]

2

2021-04-14T00:48:43.000Z

2021-04-14T02:20:50.000Z

root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py

ChyiYaqing/chyidlTutorial

77e7f6f84f21537a58a8a8a42e31cf2e3dd31996

[ "MIT" ]

3

2019-03-02T14:36:19.000Z

2022-03-18T10:12:09.000Z

#!/usr/bin/env python3 # -*- coding:utf-8 -*- """Requests test package initialisation."""

22.5

43

0.655556

11

90

5.363636

1

0

0.025

0.111111

90

4

43

22.5

0.7125

0.888889

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

f81ce517b53ccd795c4a506f2213bfeafa42c8e0

255

py

Python

django_selectel_storage/exceptions.py

Stuvros/django-selectel-storage

076f7e3c58d9391e2e7e27feb0526736d101c2b5

[ "MIT" ]

27

2015-01-28T09:17:09.000Z

2021-06-21T20:48:01.000Z

django_selectel_storage/exceptions.py

Stuvros/django-selectel-storage

076f7e3c58d9391e2e7e27feb0526736d101c2b5

[ "MIT" ]

9

2015-08-07T15:03:00.000Z

2020-05-01T04:54:02.000Z

django_selectel_storage/exceptions.py

Stuvros/django-selectel-storage

076f7e3c58d9391e2e7e27feb0526736d101c2b5

[ "MIT" ]

19

2015-05-20T14:16:25.000Z

2022-03-31T06:31:59.000Z

class SelectelException(ValueError): pass class InvalidSchema(SelectelException): pass class EmptyUsername(SelectelException): pass class EmptyPassword(SelectelException): pass class EmptyContainerName(SelectelException): pass

13.421053

44

0.772549

20

255

9.85

0.4

0.182741

0.395939

0

0.168627

255

18

45

14.166667

0.929245

0

0.5

0

1

0

true

0.6

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

f8459ec6a60f2e71cf7db3476a3460a08e1783eb

110

wsgi

Python

cryptovote/cryptovote.wsgi

cryptovoting/cryptovote

b236cf031a8f9dfa5cca54ff45003313275a0fc8

[ "MIT" ]

8

2019-05-14T02:41:34.000Z

2021-11-25T08:07:22.000Z

cryptovote/cryptovote.wsgi

cryptovoting/cryptovote

b236cf031a8f9dfa5cca54ff45003313275a0fc8

[ "MIT" ]

null

cryptovote/cryptovote.wsgi

cryptovoting/cryptovote

b236cf031a8f9dfa5cca54ff45003313275a0fc8

[ "MIT" ]

2

2019-05-14T20:20:07.000Z

2021-11-25T08:07:24.000Z

# Used for deploying on Apache with mod_wsgi from cryptovote.app import create_app application = create_app()

27.5

44

0.818182

17

110

5.117647

0.823529

0.206897

0

0.136364

110

3

45

36.666667

0.915789

0.381818

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

f8675dfd4e125d168dde1ba9e29185bd73af107b

4,331

py

Python

writer/cashData/csvUtils.py

sifarone/gce_k8s_deployment

f596e17b9d0263ae24c61ebba9925af4719b4306

[ "MIT" ]

null

writer/cashData/csvUtils.py

sifarone/gce_k8s_deployment

f596e17b9d0263ae24c61ebba9925af4719b4306

[ "MIT" ]

null

writer/cashData/csvUtils.py

sifarone/gce_k8s_deployment

f596e17b9d0263ae24c61ebba9925af4719b4306

[ "MIT" ]

1

2021-01-24T17:07:37.000Z

import pandas as pd from . import cashUtils as utils class ReadStockBhavDataCSV: def __init__(self, fileName): self.df = pd.read_csv(fileName) self.columns = self.df.columns def getCSVColumnList(self): return self.columns def getStockFlatData(self): ''' Returns a list of following dictionary corresponding to each row in the csv file [ { symbol : , date : , prevClose : , openPrice : , highPrice : , lowPrice : , lastPrice : , closePrice : , avgPrice : , ttlTrdQtnty : , turnoverLacs : , noOfTrades : , delivQty : , delivPer : }, {}, {}, . . . ] ''' # Nested function def getDictFromRows(r): rowDict = { 'symbol' : r[self.columns[utils.STOCK_COL_IDX['symbol']]], 'date' : r[self.columns[utils.STOCK_COL_IDX['date']]], 'prevClose' : r[self.columns[utils.STOCK_COL_IDX['prevClose']]], 'openPrice' : r[self.columns[utils.STOCK_COL_IDX['openPrice']]], 'highPrice' : r[self.columns[utils.STOCK_COL_IDX['highPrice']]], 'lowPrice' : r[self.columns[utils.STOCK_COL_IDX['lowPrice']]], 'lastPrice' : r[self.columns[utils.STOCK_COL_IDX['lastPrice']]], 'closePrice' : r[self.columns[utils.STOCK_COL_IDX['closePrice']]], 'avgPrice' : r[self.columns[utils.STOCK_COL_IDX['avgPrice']]], 'ttlTrdQtnty' : r[self.columns[utils.STOCK_COL_IDX['ttlTrdQtnty']]], 'turnoverLacs' : r[self.columns[utils.STOCK_COL_IDX['turnoverLacs']]], 'noOfTrades' : r[self.columns[utils.STOCK_COL_IDX['noOfTrades']]], 'delivQty' : r[self.columns[utils.STOCK_COL_IDX['delivQty']]], 'delivPer' : r[self.columns[utils.STOCK_COL_IDX['delivPer']]] } return rowDict returnList = [] for index, row in self.df.iterrows(): rowDict = getDictFromRows(row) returnList.append(rowDict) return returnList class ReadArchivedStockBhavDataCSV: def __init__(self, fileName): self.df = pd.read_csv(fileName) self.columns = self.df.columns def getCSVColumnList(self): return self.columns def getStockFlatData(self): ''' Returns a list of following dictionary corresponding to each row in the csv file [ { symbol : , openPrice : , highPrice : , lowPrice : , closePrice : , lastPrice : , prevClose : , date : }, {}, {}, . . . ] ''' # Nested function def getDictFromRows(r): rowDict = { 'symbol' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['symbol']]], 'date' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['date']]], 'prevClose' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['prevClose']]], 'openPrice' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['openPrice']]], 'highPrice' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['highPrice']]], 'lowPrice' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['lowPrice']]], 'lastPrice' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['lastPrice']]], 'closePrice' : r[self.columns[utils.STOCK_ARCHIVED_COL_IDX['closePrice']]] } return rowDict returnList = [] for index, row in self.df.iterrows(): rowDict = getDictFromRows(row) returnList.append(rowDict) return returnList

36.091667

93

0.484184

365

4,331

5.575342

0.169863

0.140541

0.12973

0.183784

0.8

0.714496

0.680098

0.377396

0

0.406142

4,331

119

94

36.394958

0.791213

0.209651

0

0.5

0

0.121153

0

1

0.142857

false

0

0.035714

0.321429

0

null

0

1

0

1

0

null

0

4

f86d0468889ac52f5ce1040fe21e913a6db95f94

20,391

py

Python

pymatflow/abinit/post/bands.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

6

2020-03-06T16:13:08.000Z

2022-03-09T07:53:34.000Z

pymatflow/abinit/post/bands.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-10-02T02:23:08.000Z

2021-11-08T13:29:37.000Z

pymatflow/abinit/post/bands.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-07-10T16:28:14.000Z

""" post_bands: post_bands extract data from static-o_DS3_EBANDS.agr and it will build the kpoints length: xcoord_k from the high symmetry line and the corresponding basis for reciprocal space. b1 = 1 / a1, b2 = 1 / a2 and b3 = 1 / a3. """ import os import numpy as np import matplotlib.pyplot as plt class PostBands: def __init__(self): pass def get_xcoord_k(self, kpath, cell): """ Note: xcoord_k is the x axis of the band structure plot let's see how it is build from kpoints and the crystal lattice or reciprocal lattice. """ self.kpath = kpath self.xcoord_k = [] b1 = 1 / np.sqrt(cell[0][0]**2 + cell[0][1]**2 + cell[0][2]**2) b2 = 1 / np.sqrt(cell[1][0]**2 + cell[1][1]**2 + cell[1][2]**2) b3 = 1 / np.sqrt(cell[2][0]**2 + cell[2][1]**2 + cell[2][2]**2) # actually you will find that in vasp b1=1/a1, b2=1/a2, b3=1/a3 V = np.dot(cell[0], np.cross(cell[1], cell[2])) b1_vec = np.cross(cell[1], cell[2]) * 2 * np.pi / V b2_vec = np.cross(cell[2], cell[0]) * 2 * np.pi / V b3_vec = np.cross(cell[0], cell[1]) * 2 * np.pi / V print("cell a:") print("%f %f %f\n" % (cell[0][0], cell[0][1], cell[0][2])) print("%f %f %f\n" % (cell[1][0], cell[1][1], cell[1][2])) print("%f %f %f\n" % (cell[2][0], cell[2][1], cell[2][2])) print("cell b:\n") print("%f %f %f\n" % (b1_vec[0], b1_vec[1], b1_vec[2])) print("%f %f %f\n" % (b2_vec[0], b2_vec[1], b2_vec[2])) print("%f %f %f\n" % (b3_vec[0], b3_vec[1], b3_vec[2])) self.xcoord_k.append(0.0000000) for i in range(len(self.kpath) - 1): # the step in the xcoord_k for each segment is different and it is actually # the distance between the two high symmetry kpoint in unit of reciprocal coordinates # divided by the conneciting number kpath[i][4] if self.kpath[i][4] != "|": #delta_b_1 = b1*(self.kpath[i+1][0] - self.kpath[i][0]) #delta_b_2 = b2*(self.kpath[i+1][1] - self.kpath[i][1]) #delta_b_3 = b3*(self.kpath[i+1][2] - self.kpath[i][2]) #step = np.sqrt(delta_b_1**2+delta_b_2**2+delta_b_3**2) / (self.kpath[i][4]) # the above way to calculate step is only applicable when # b1 b2 b3 are perpendicular to each other so they are abandoned. vec1 = self.kpath[i][0] * np.array(b1_vec) + self.kpath[i][1] * np.array(b2_vec) + self.kpath[i][2] * np.array(b3_vec) vec2 = self.kpath[i+1][0] * np.array(b1_vec) + self.kpath[i+1][1] * np.array(b2_vec) + self.kpath[i+1][2] * np.array(b3_vec) distance_in_b = np.linalg.norm(np.array(vec2)-np.array(vec1)) step = distance_in_b / (self.kpath[i][4]) for j in range(self.kpath[i][4]): self.xcoord_k.append(self.xcoord_k[-1] + step) else: self.xcoord_k.append(self.xcoord_k[-1]) # label for plot self.locs = [] self.labels_for_matplotlib = [] self.labels_for_gnuplot = [] self.locs.append(0.0000000) nk = 0 print("%d\n" % nk) for i in range(len(self.kpath)-1): if self.kpath[i][4] != "|": nk = nk + self.kpath[i][4] self.locs.append(self.xcoord_k[nk]) print("%d\n" % nk) else: nk = nk + 1 self.labels_for_matplotlib.append(r"$%s$" % self.kpath[0][3].upper() if self.kpath[0][3].upper() != "GAMMA" else r"$\Gamma$") self.labels_for_gnuplot.append("%s" % self.kpath[0][3].upper() if self.kpath[0][3].upper() != "GAMMA" else "{/symbol G}") for i in range(1, len(self.kpath)): if self.kpath[i-1][4] != "|": self.labels_for_matplotlib.append(r"$%s$" % self.kpath[i][3].upper() if self.kpath[i][3].upper() != "GAMMA" else r"$\Gamma$") self.labels_for_gnuplot.append("%s" % self.kpath[i][3].upper() if self.kpath[i][3].upper() != "GAMMA" else "{/symbol G}") else: self.labels_for_matplotlib[-1] = r"$%s | %s$" % (self.labels_for_matplotlib[-1].split("$")[1], self.kpath[i][3].upper()) self.labels_for_gnuplot[-1] = "%s | %s" % (self.labels_for_gnuplot[-1], self.kpath[i][3].upper()) def get_ebands_agr(self, filepath="static-o_DS3_EBANDS.agr"): with open(filepath, 'r') as fin: self.lines = fin.readlines() # get the band energy # in xxx_EBANDS.agr, energy are in unit of eV, and fermi energy are already shfited to 0 # first check the magnetic_status for line in self.lines: if len(line.split()) == 0: continue if line.split()[0] == "#" and line.split()[1] == "mband:": self.mband = int(line.split()[2].split(",")[0]) self.nkpt = int(line.split()[4].split(",")[0]) self.nsppol = int(line.split()[6].split(",")[0]) self.nspinor = int(line.split()[8]) # get the eigenval (in agr, efermi is shfited to 0 already) self.energies_agr = [] for i in range(len(self.lines)): if len(self.lines[i].split()) == 0: continue if self.lines[i].split()[0] == "@type" and self.lines[i].split()[1].split("\n")[0] == "xy": band = [] for j in range(self.nkpt): band.append(float(self.lines[i+j+1].split()[1])) self.energies_agr.append(band) def _plot_band_matplotlib(self, bandrange=[0, 1.0]): """ :param bandrange: a list of two values(between 0 and 1) defining the percentage of bands to plot. plotrange[0]: left boundary of the nth band to plot plotrange[1]: right boundary of the nth band to plot default is plotrange[0] = 0, plotrange[1], in which case all the band available will be plot. Be aware that the range if not for energy but for band number :param imagebase: image file name(not full) """ if self.nsppol == 1: band_min = int(bandrange[0] * self.mband) band_max = int(bandrange[1] * self.mband) for i in range(band_min, band_max, 1): plt.plot(self.xcoord_k, self.energies_agr[i], color='blue', linewidth=1) plt.xticks(self.locs, self.labels_for_matplotlib) plt.title("Band Structure") plt.xlabel("K") plt.ylabel("Energy(eV)") plt.grid(b=True, which='major') plt.savefig("band-structure-spin-unpolarized.png") if self.nsppol == 2: # half of self.energies_agr are spin up, and half are spin down band_min = int(bandrange[0] * self.mband) band_max = int(bandrange[1] * self.mband) # spin up for i in range(band_min, band_max, 1): plt.plot(self.xcoord_k, self.energies_agr[i]) plt.title("Band Structure(Spin Up)") plt.xlabel("K") plt.ylabel("Energy(eV)") plt.xticks(self.locs, self.labels_for_matplotlib) plt.grid(b=True, which='major') plt.savefig("band-structure-spin-polarized-1.png") plt.close() # spin down for i in range(int(band_min+self.mband), int(band_max+self.mband), 1): plt.plot(self.xcoord_k, self.energies_agr[i]) plt.title("Band Structure(Spin Down)") plt.xlabel("K") plt.ylabel("Energy(eV)") plt.xticks(self.locs, self.labels_for_matplotlib) plt.grid(b=True, which='major') plt.savefig("band-structure-spin-polarized-2.png") plt.close() # all in one picture for i in range(band_min, band_max, 1): plt.plot(self.xcoord_k, self.energies_agr[i], color="blue", linewidth=1) for i in range(int(band_min+self.mband), int(band_max+self.mband), 1): plt.plot(self.xcoord_k, self.energies_agr[i], color="red", linewidth=1) plt.title("Band Structure(Spin Up&Down)") plt.xlabel("K") plt.ylabel("Energy(eV)") plt.xticks(self.locs, self.labels_for_matplotlib) plt.grid(b=True, which='major') plt.savefig("band-structure-spin-polarized-all.png") plt.close() def _plot_band_gnuplot(self, bandrange=[0, 1.0]): """ :param bandrange: a list of two values(between 0 and 1) defining the percentage of bands to plot. plotrange[0]: left boundary of the nth band to plot plotrange[1]: right boundary of the nth band to plot default is plotrange[0] = 0, plotrange[1], in which case all the band available will be plot. Be aware that the range if not for energy but for band number :param imagebase: image file name(not full) """ if self.nsppol == 1: band_min = int(bandrange[0] * self.mband) band_max = int(bandrange[1] * self.mband) with open("all-bands-spin-unpolarized.data", 'w') as fout: fout.write("# band structure extracted from xxx_EBANDS.agr\n") fout.write("# efermi shfited to 0 already\n") for i in range(self.mband): for j in range(len(self.xcoord_k)): fout.write("%f %f\n" % (self.xcoord_k[j], self.energies_agr[i][j])) fout.write("\n") with open("specified-bands-spin-unpolarized.data", 'w') as fout: fout.write("# band structure extracted from ***_EBANDS.agr\n") fout.write("# efermi shifted to 0 already\n") for i in range(band_min, band_max, 1): for j in range(len(self.xcoord_k)): fout.write("%f %f\n" % (self.xcoord_k[j], self.energies_agr[i][j])) fout.write("\n") with open("all-bands-spin-unpolarized.gnuplot", 'w') as fout: fout.write("set terminal gif\n") fout.write("set output 'all-bands-spin-unpolarized.gif'\n") fout.write("unset key\n") fout.write("set parametric\n") fout.write("set title 'Band Structure'\n") fout.write("set xlabel 'K'\n") fout.write("set ylabel 'Energy(eV)'\n") fout.write("set xtics(") for i in range(len(self.labels_for_gnuplot)-1): fout.write("'%s' %f, " % (self.labels_for_gnuplot[i], self.locs[i])) fout.write("'%s' %f)\n" % (self.labels_for_gnuplot[-1], self.locs[-1])) fout.write("set grid xtics ytics\n") fout.write("set autoscale\n") fout.write("plot 'all-bands-spin-unpolarized.data' using 1:2 w l\n") os.system("gnuplot all-bands-spin-unpolarized.gnuplot") with open("specified-bands-spin-unpolarized.gnuplot", 'w') as fout: fout.write("set terminal gif\n") fout.write("set output 'specified-bands-spin-unpolarized.gif'\n") fout.write("unset key\n") fout.write("set parametric\n") fout.write("set title 'Band Structure'\n") fout.write("set xlabel 'K'\n") fout.write("set ylabel 'Energy(eV)'\n") fout.write("set xtics(") for i in range(len(self.labels_for_gnuplot)-1): fout.write("'%s' %f, " % (self.labels_for_gnuplot[i], self.locs[i])) fout.write("'%s' %f)\n" % (self.labels_for_gnuplot[-1], self.locs[-1])) fout.write("set grid xtics ytics\n") fout.write("set autoscale\n") fout.write("plot 'specified-bands-spin-unpolarized.data' using 1:2 w l\n") os.system("gnuplot specified-bands-spin-unpolarized.gnuplot") if self.nsppol == 2: band_min = int(bandrange[0] * self.mband) band_max = int(bandrange[1] * self.mband) with open("all-bands-spin-polarized-spin-1.data", 'w') as fout: fout.write("# band structure extracted from xxx_EBANDS.agr\n") fout.write("# efermi shfited to 0 already\n") for i in range(self.mband): for j in range(len(self.xcoord_k)): fout.write("%f %f\n" % (self.xcoord_k[j], self.energies_agr[i][j])) fout.write("\n") with open("all-bands-spin-polarized-spin-2.data", 'w') as fout: fout.write("# band structure extracted from xxx_EBANDS.agr\n") fout.write("# efermi shifted to 0 already\n") for i in range(self.mband): for j in range(len(self.xcoord_k)): fout.write("%f %f\n" % (self.xcoord_k[j], self.energies_agr[self.mband+i][j])) fout.write("\n") with open("specified-bands-spin-polarized-spin-1.data", 'w') as fout: fout.write("# band structure extracted from xxx_EBANDS.agr\n") fout.write("# efermi shifted to 0 already\n") for i in range(band_min, band_max, 1): for j in range(len(self.xcoord_k)): fout.write("%f %f\n" % (self.xcoord_k[j], self.energies_agr[i][j])) fout.write("\n") with open("specified-bands-spin-polarized-spin-2.data", 'w') as fout: fout.write("# band structure extracted from xxx_EBANDS.agr\n") fout.write("# efermi shifted to 0 already\n") for i in range(band_min, band_max, 1): for j in range(len(self.xcoord_k)): fout.write("%f %f\n" % (self.xcoord_k[j], self.energies_agr[self.mband+i][j])) fout.write("\n") with open("all-bands-spin-polarized-spin-1.gnuplot", 'w') as fout: fout.write("set terminal gif\n") fout.write("set output 'all-bands-spin-polarized-spin-1.gif'\n") fout.write("unset key\n") fout.write("set parametric\n") fout.write("set title 'Band Structure'\n") fout.write("set xlabel 'K'\n") fout.write("set ylabel 'Energy(eV)'\n") fout.write("set xtics(") for i in range(len(self.labels_for_gnuplot)-1): fout.write("'%s' %f, " % (self.labels_for_gnuplot[i], self.locs[i])) fout.write("'%s' %f)\n" % (self.labels_for_gnuplot[-1], self.locs[-1])) fout.write("set grid xtics ytics\n") fout.write("set autoscale\n") fout.write("plot 'all-bands-spin-polarized-spin-1.data' using 1:2 w l\n") os.system("gnuplot all-bands-spin-polarized-spin-1.gnuplot") with open("all-bands-spin-polarized-spin-2.gnuplot", 'w') as fout: fout.write("set terminal gif\n") fout.write("set output 'all-bands-spin-polarized-spin-2.gif'\n") fout.write("unset key\n") fout.write("set parametric\n") fout.write("set title 'Band Structure'\n") fout.write("set xlabel 'K'\n") fout.write("set ylabel 'Energy(eV)'\n") fout.write("set xtics(") for i in range(len(self.labels_for_gnuplot)-1): fout.write("'%s' %f, " % (self.labels_for_gnuplot[i], self.locs[i])) fout.write("'%s' %f)\n" % (self.labels_for_gnuplot[-1], self.locs[-1])) fout.write("set grid xtics ytics\n") fout.write("set autoscale\n") fout.write("plot 'all-bands-spin-polarized-spin-2.data' using 1:2 w l\n") os.system("gnuplot all-bands-spin-polarized-spin-2.gnuplot") with open("specified-bands-spin-polarized-spin-1.gnuplot", 'w') as fout: fout.write("set terminal gif\n") fout.write("set output 'specified-bands-spin-polarized-spin-1.gif'\n") fout.write("unset key\n") fout.write("set parametric\n") fout.write("set title 'Band Structure'\n") fout.write("set xlabel 'K'\n") fout.write("set ylabel 'Energy(eV)'\n") fout.write("set xtics(") for i in range(len(self.labels_for_gnuplot)-1): fout.write("'%s' %f, " % (self.labels_for_gnuplot[i], self.locs[i])) fout.write("'%s' %f)\n" % (self.labels_for_gnuplot[-1], self.locs[-1])) fout.write("set grid xtics ytics\n") fout.write("set autoscale\n") fout.write("plot 'specified-bands-spin-polarized-spin-1.data' using 1:2 w l\n") os.system("gnuplot specified-bands-spin-polarized-spin-1.gnuplot") with open("specified-bands-spin-polarized-spin-2.gnuplot", 'w') as fout: fout.write("set terminal gif\n") fout.write("set output 'specified-bands-spin-polarized-spin-2.gif'\n") fout.write("unset key\n") fout.write("set parametric\n") fout.write("set title 'Band Structure'\n") fout.write("set xlabel 'K'\n") fout.write("set ylabel 'Energy(eV)'\n") fout.write("set xtics(") for i in range(len(self.labels_for_gnuplot)-1): fout.write("'%s' %f, " % (self.labels_for_gnuplot[i], self.locs[i])) fout.write("'%s' %f)\n" % (self.labels_for_gnuplot[-1], self.locs[-1])) fout.write("set grid xtics ytics\n") fout.write("set autoscale\n") fout.write("plot 'specified-bands-spin-polarized-spin-2.data' using 1:2 w l\n") os.system("gnuplot specified-bands-spin-polarized-spin-2.gnuplot") def plot_band(self, option="matplotlib", bandrange=[0, 1.0]): """ :parama option: gnuplot or matplotlib :param bandrange: a list of two values(between 0 and 1) defining the percentage of bands to plot. plotrange[0]: left boundary of the nth band to plot plotrange[1]: right boundary of the nth band to plot default is plotrange[0] = 0, plotrange[1], in which case all the band available will be plot. Be aware that the range if not for energy but for band number :param imagebase: image file name(not full) """ if option == "matplotlib": self._plot_band_matplotlib(bandrange=bandrange) elif option == "gnuplot": self._plot_band_gnuplot(bandrange=bandrange) # def export(self, directory="tmp-abinit-static", bandrange=[0, 1], option="matplotlib"): """ :parama option: gnuplot or matplotlib :param bandrange: a list of two values(between 0 and 1) defining the percentage of bands to plot. plotrange[0]: left boundary of the nth band to plot plotrange[1]: right boundary of the nth band to plot default is plotrange[0] = 0, plotrange[1], in which case all the band available will be plot. Be aware that the range if not for energy but for band number """ os.system("mkdir -p %s/post-processing" % directory) os.chdir(os.path.join(directory, "post-processing")) self.plot_band(option=option, bandrange=bandrange) os.chdir("../../")

51.492424

142

0.529106

2,816

20,391

3.760653

0.089134

0.086686

0.056657

0.051558

0.768839

0.737394

0.715014

0.709065

0.685836

0.671577

0

0.024399

0.324653

20,391

395

143

51.622785

0.744608

0.152126

0

0.565217

0

0.014493

0.223249

0.082138

0

1

0.025362

false

0.003623

0.01087

0

0.039855

0.036232

0

null

0

1

0

1

0

null

0

4

f88ab7cb09ff4cce53f828728ecd959e4a4ca37a

955

py

Python

djangoBackend/payment_module/migrations/0005_auto_20210924_0054.py

muhanzi/Django-REST-API

08b8b2bbd08a74589cca7b5fd4e1d604d9a6d7eb

[ "Apache-2.0" ]

null

djangoBackend/payment_module/migrations/0005_auto_20210924_0054.py

muhanzi/Django-REST-API

08b8b2bbd08a74589cca7b5fd4e1d604d9a6d7eb

[ "Apache-2.0" ]

null

djangoBackend/payment_module/migrations/0005_auto_20210924_0054.py

muhanzi/Django-REST-API

08b8b2bbd08a74589cca7b5fd4e1d604d9a6d7eb

[ "Apache-2.0" ]

null

# Generated by Django 3.1.2 on 2021-09-23 21:54 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('payment_module', '0004_auto_20210924_0009'), ] operations = [ migrations.RenameField( model_name='commission', old_name='agencyId', new_name='agency', ), migrations.RenameField( model_name='commission', old_name='paymentId', new_name='payment', ), migrations.RenameField( model_name='invoice', old_name='employeeId', new_name='employee', ), migrations.RenameField( model_name='invoice', old_name='employerId', new_name='employer', ), migrations.RenameField( model_name='invoice', old_name='paymentId', new_name='payment', ), ]

24.487179

54

0.536126

84

955

5.869048

0.47619

0.212982

0.263692

0.30426

0.551724

0.458418

0

0.050243

0.353927

955

38

55

25.131579

0.748784

0.04712

0

0.59375

1

0

0.176211

0.02533

0

1

0

false

0

0.03125

0

0.125

0

null

1

0

1

0

null

0

4

f89ffb26ee589ce79dc400f7f5cf4afa16b557b3

88

py

Python

view/resources/__init__.py

surfaceanalytics/inelasticscattering

da549dde788a55084c565bbc5f89ebf9cbae4263

[ "MIT" ]

null

view/resources/__init__.py

surfaceanalytics/inelasticscattering

da549dde788a55084c565bbc5f89ebf9cbae4263

[ "MIT" ]

3

2021-09-08T03:02:25.000Z

2022-03-12T01:00:06.000Z

view/resources/__init__.py

surfaceanalytics/inelasticscattering

da549dde788a55084c565bbc5f89ebf9cbae4263

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Sep 3 16:43:28 2020 @author: nicholls """

11

35

0.568182

14

88

3.571429

1

0

0.173913

0.215909

88

7

36

12.571429

0.550725

0.875

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

f8ab70b04aa64ecaf4843be345aba0efec2cfc69

414

py

Python

sapextractor/utils/string_matching/distances.py

aarkue/sap-meta-explorer

613bf657bbaa72a3781a84664e5de7626516532f

[ "Apache-2.0" ]

2

2021-02-10T08:09:35.000Z

2021-05-21T06:25:34.000Z

sapextractor/utils/string_matching/distances.py

aarkue/sap-meta-explorer

613bf657bbaa72a3781a84664e5de7626516532f

[ "Apache-2.0" ]

null

sapextractor/utils/string_matching/distances.py

aarkue/sap-meta-explorer

613bf657bbaa72a3781a84664e5de7626516532f

[ "Apache-2.0" ]

3

2021-11-22T13:27:00.000Z

2022-03-16T22:08:51.000Z

import stringdist def levenshtein(stru1, stru2): """ Measures the Levenshtein distance between two strings Parameters --------------- stru1 First string stru2 Second string Returns --------------- levens_dist Levenshtein distance """ return stringdist.levenshtein(stru1, stru2) def apply(stru1, stru2): return levenshtein(stru1, stru2)

16.56

57

0.601449

38

414

6.526316

0.552632

0.16129

0.254032

0

0.033333

0.275362

414

24

58

17.25

0.793333

0.458937

0

1

0.4

false

0

0.2

1

0

null

0

1

0

null

0

1

0

1

0

4

f8ba3fd25de458d4df99e4ca579804ce22c8dbdc

112

py

Python

database.py

anthonypang99/TakeNote

7da668d48b72ee825f3fb9f503f8d4d6fe2ff644

[ "MIT" ]

null

database.py

anthonypang99/TakeNote

7da668d48b72ee825f3fb9f503f8d4d6fe2ff644

[ "MIT" ]

null

database.py

anthonypang99/TakeNote

7da668d48b72ee825f3fb9f503f8d4d6fe2ff644

[ "MIT" ]

null

from flask_sqlalchemy import SQLAlchemy # Initialize the Flask-SQLAlchemy extension instance db = SQLAlchemy()

22.4

52

0.830357

13

112

7.076923

0.692308

0.326087

0

0.125

112

4

53

28

0.938776

0.446429

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

f8c2cf6aa69e132e2490580fb1e86b3b369033e8

192

py

Python

src/qualtrutils/__init__.py

emanuele-albini/qualtrutils

7f1fb08221edb220738445bf3e8a92a1a037bb76

[ "MIT" ]

null

src/qualtrutils/__init__.py

emanuele-albini/qualtrutils

7f1fb08221edb220738445bf3e8a92a1a037bb76

[ "MIT" ]

null

src/qualtrutils/__init__.py

emanuele-albini/qualtrutils

7f1fb08221edb220738445bf3e8a92a1a037bb76

[ "MIT" ]

null

try: import os import pkg_resources # part of setuptools __version__ = pkg_resources.get_distribution(os.path.dirname(__file__)).version except: pass from .qualtrics import *

24

83

0.744792

24

192

5.5

0.75

0.181818

0

0.182292

192

8

84

24

0.840764

0.09375

0

1

0

false

0.142857

0.428571

0

0.428571

0

1

0

null

0

1

0

null

0

1

0

4

f8c3a6ea72bf6a5606bd1c07a86991ac84f55edc

97

py

Python

image_web/image_app/apps.py

datasciencee/Image_web

28d0d8a3006e64da05bb6ede03b037daaa2897b2

[ "MIT" ]

null

image_web/image_app/apps.py

datasciencee/Image_web

28d0d8a3006e64da05bb6ede03b037daaa2897b2

[ "MIT" ]

null

image_web/image_app/apps.py

datasciencee/Image_web

28d0d8a3006e64da05bb6ede03b037daaa2897b2

[ "MIT" ]

null

from django.apps import AppConfig class ImageAppConfig(AppConfig): name = 'image_app'

16.166667

34

0.721649

11

97

6.272727

0.909091

0

0.206186

97

5

35

19.4

0.896104

0

0.097826

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f8c5dfc6d0cdbf14f1da548855e712503b3de0e5

230

py

Python

frameworks/MLNet/__init__.py

Ennosigaeon/automlbenchmark

bd3e529d641b64300a075d59408203d537311b7e

[ "MIT" ]

282

2018-09-19T09:45:46.000Z

2022-03-30T04:05:51.000Z

frameworks/MLNet/__init__.py

Ennosigaeon/automlbenchmark

bd3e529d641b64300a075d59408203d537311b7e

[ "MIT" ]

267

2018-11-02T11:43:11.000Z

2022-03-31T08:58:16.000Z

frameworks/MLNet/__init__.py

Ennosigaeon/automlbenchmark

bd3e529d641b64300a075d59408203d537311b7e

[ "MIT" ]

104

2018-10-17T19:32:36.000Z

2022-03-19T22:47:59.000Z

from amlb.utils import call_script_in_same_dir def setup(*args, **kwargs): call_script_in_same_dir(__file__, "setup.sh", *args, **kwargs) def run(dataset, config): from .exec import run return run(dataset, config)

20.909091

66

0.721739

35

230

4.4

0.571429

0.12987

0.155844

0.207792

0.246753

0

0.16087

230

10

67

23

0.797927

0

0.034783

0

1

0.333333

false

0

0.333333

0

0.833333

0

null

0

1

0

null

0

1

0

1

0

1

0

4

f8c656a1fcea7a9ee14e5a204d4f559a5949f3d3

189

py

Python

generate_pentagons.py

YessOn/ProjectEuler-Toolkits

cc196c1c6faca32f7613ae40ddb3c7f7b86e071e

[ "MIT" ]

null

generate_pentagons.py

YessOn/ProjectEuler-Toolkits

cc196c1c6faca32f7613ae40ddb3c7f7b86e071e

[ "MIT" ]

null

generate_pentagons.py

YessOn/ProjectEuler-Toolkits

cc196c1c6faca32f7613ae40ddb3c7f7b86e071e

[ "MIT" ]

null

def generate_pentagons(n_of_pentagons): pentagons = (num * (3 * num - 1) // 2 for num in range(1, n_of_pentagons)) for _ in range(n_of_pentagons - 1): yield next(pentagons)

37.8

78

0.661376

30

189

3.9

0.466667

0.076923

0.307692

0

0.034014

0.222222

189

4

79

47.25

0.761905

0

1

0

1

0.25

false

0

0.25

0

null

0

1

0

1

0

1

0

null

0

1

0

4

f8caa3e778c29557bd6611746d149fdf5e4f18a9

113

py

Python

juno/server/http/handler/api.py

DSciLab/juno

1d572c8d3fd06a6c1fcc51b42a6539dd3ae0927e

[ "MIT" ]

null

juno/server/http/handler/api.py

DSciLab/juno

1d572c8d3fd06a6c1fcc51b42a6539dd3ae0927e

[ "MIT" ]

null

juno/server/http/handler/api.py

DSciLab/juno

1d572c8d3fd06a6c1fcc51b42a6539dd3ae0927e

[ "MIT" ]

null

from .base.api_handler import APIBaseHandler class APIHandler(APIBaseHandler): def get(self): pass

16.142857

44

0.725664

13

113

6.230769

0.923077

0

0.20354

113

6

45

18.833333

0.9

0

1

0.25

false

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f8d1533d26da78b1c9ff1203760b4a5ae33a69c7

206

py

Python

1546.py

ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python

9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da

[ "MIT" ]

1

2022-01-14T08:45:32.000Z

1546.py

ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python

9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da

[ "MIT" ]

null

1546.py

ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python

9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da

[ "MIT" ]

null

arr = ['', 'Rolien', 'Naej', 'Elehcim', 'Odranoel'] n = int(input()) while n != 0: n -= 1 k = int(input()) while k != 0: k -= 1 num = int(input()) print(arr[num])

22.888889

52

0.417476

27

206

3.185185

0.518519

0.27907

0.302326

0

0.030303

0.359223

206

9

53

22.888889

0.621212

0

0.125628

0

1

0

false

0

0.111111

1

0

null

1

0

1

0

null

0

4

3e1d352c7922c834041d16e3fdaa531ed2d9b63c

75

py

Python

map2annotation/__main__.py

aas-integration/integration-test2

dc9a9b4593cd59841f0d8348056cbff80a9c2a21

[ "MIT" ]

3

2016-10-10T20:18:51.000Z

2018-05-01T19:42:10.000Z

map2annotation/__main__.py

aas-integration/integration-test2

dc9a9b4593cd59841f0d8348056cbff80a9c2a21

[ "MIT" ]

38

2016-08-22T03:20:25.000Z

2018-06-11T19:13:05.000Z

map2annotation/__main__.py

aas-integration/integration-test2

dc9a9b4593cd59841f0d8348056cbff80a9c2a21

[ "MIT" ]

7

2016-08-29T17:37:42.000Z

2022-01-28T00:30:10.000Z

import map2annotation if __name__ == '__main__': map2annotation.main()

18.75

26

0.746667

7

75

6.857143

0.714286

0

0.03125

0.146667

75

4

27

18.75

0.71875

0

0.105263

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3e24efcd76f37df58a59baf6375172236bdbc8f9

116

py

Python

notifications/utils.py

Natgeoed/django-notifications

a73c01f167bdf796b609d44a2be5323d08180b7f

[ "BSD-3-Clause" ]

1

2019-05-28T14:55:58.000Z

notifications/utils.py

Natgeoed/django-notifications

a73c01f167bdf796b609d44a2be5323d08180b7f

[ "BSD-3-Clause" ]

null

notifications/utils.py

Natgeoed/django-notifications

a73c01f167bdf796b609d44a2be5323d08180b7f

[ "BSD-3-Clause" ]

1

2020-03-29T10:13:28.000Z

# -*- coding: utf-8 -*- def slug2id(slug): return long(slug) - 110909 def id2slug(id): return id + 110909

14.5

30

0.603448

16

116

4.375

0.6875

0

0.168539

0.232759

116

7

31

16.571429

0.617978

0.181034

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3e509827f57ba47184b958f8189726f8a1765c22

87

py

Python

division.py

ReverseScale/PyDemo

9cc6f3cbb8482f6e403bf65419537b0163798e61

[ "MIT" ]

null

division.py

ReverseScale/PyDemo

9cc6f3cbb8482f6e403bf65419537b0163798e61

[ "MIT" ]

null

division.py

ReverseScale/PyDemo

9cc6f3cbb8482f6e403bf65419537b0163798e61

[ "MIT" ]

null

try: print(5/0) except ZeroDivisionError: print('你是啥子吗!') else: print('算了')

14.5

25

0.62069

11

87

4.909091

0.818182

0

0.028986

0.206897

87

6

26

14.5

0.753623

0

0.090909

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

3e52b2bc37f4905d4ab47d9e200507510863fee4

626

py

Python

Python/Data Structure and Algorithm/Krish Naik/Amazon Que.py

omkarsutar1255/Python-Data

169d0c54b23d9dd5a7f1aea41ab385121c3b3c63

[ "CC-BY-3.0" ]

null

Python/Data Structure and Algorithm/Krish Naik/Amazon Que.py

omkarsutar1255/Python-Data

169d0c54b23d9dd5a7f1aea41ab385121c3b3c63

[ "CC-BY-3.0" ]

null

Python/Data Structure and Algorithm/Krish Naik/Amazon Que.py

omkarsutar1255/Python-Data

169d0c54b23d9dd5a7f1aea41ab385121c3b3c63

[ "CC-BY-3.0" ]

null

# l1 = [1095, 1094, 1095] # del l1[:] # l1.extend([1005, 1094, 1095]) # print(l1) l1 = [8676, 4444, 3333, 2222, 1111] for i, n in enumerate(l1): print(i, n) if int(n / 1000) == 1: l1[i] = n + 8000 elif int(n / 1000) == 2: l1[i] = n + 6000 elif int(n / 1000) == 3: l1[i] = n + 4000 elif int(n / 1000) == 4: l1[i] = n + 2000 elif int(n / 1000) == 6: l1[i] = n - 2000 elif int(n / 1000) == 7: l1[i] = n + 4000 elif int(n / 1000) == 8: l1[i] = n - 6000 elif int(n / 1000) == 9: l1[i] = n - 8000 else: pass print(l1)

21.586207

35

0.4377

104

626

2.634615

0.336538

0.072993

0.233577

0.306569

0.437956

0

0.334184

0.373802

626

28

36

22.357143

0.364796

0.116613

0

0.090909

0

1

0

false

0.045455

0

0.090909

0

null

0

1

0

1

0

1

0

null

0

4

3e6ad6e1c6ce978983b60511c62b60c613bacb9a

92

py

Python

script.py

juand1809/JuanVelasquez_Ejercicio23

40b20dc3db6e3a9a884265a950dd3ccac1f7a615

[ "MIT" ]

null

script.py

juand1809/JuanVelasquez_Ejercicio23

40b20dc3db6e3a9a884265a950dd3ccac1f7a615

[ "MIT" ]

null

script.py

juand1809/JuanVelasquez_Ejercicio23

40b20dc3db6e3a9a884265a950dd3ccac1f7a615

[ "MIT" ]

null

import os a = os.system("g++ sumatoria.cpp -o sumatoria.x") a = os.system("./sumatoria.x")

18.4

49

0.652174

16

92

3.75

0.5625

0.1

0.3

0

0.130435

92

4

50

23

0.75

0

0.48913

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

4

e43608fd33081461199e20cc093779ca67fd8543

132

py

Python

pythonExercicios/ex014.py

Yhago-Carvalho/CursoPython

343ccabb1a61e16c6078de9672c78c56deed2589

[ "MIT" ]

null

pythonExercicios/ex014.py

Yhago-Carvalho/CursoPython

343ccabb1a61e16c6078de9672c78c56deed2589

[ "MIT" ]

null

pythonExercicios/ex014.py

Yhago-Carvalho/CursoPython

343ccabb1a61e16c6078de9672c78c56deed2589

[ "MIT" ]

null

c = float(input('Digite a temperatura em Ceusius: ')) f = (9*c + 160)/5 print(f'A temperatura de {c:.1f}ºC corresponde a {f:.1f}ºF')

44

60

0.659091

26

132

3.346154

0.692308

0.275862

0

0.061947

0.143939

132

3

60

44

0.707965

0

0.62406

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

1

0

null

0

4

e479315b2fec6b1b30374526a8f3ec4a57556364

536

py

Python

tests/test_set_key.py

GustavoKatel/pushbullet-cli

e5102772752a97db539594b0d50b5effb36a22e2

[ "MIT" ]

176

2017-01-30T16:21:48.000Z

2022-02-10T05:32:57.000Z

tests/test_set_key.py

GustavoKatel/pushbullet-cli

e5102772752a97db539594b0d50b5effb36a22e2

[ "MIT" ]

49

2017-01-21T20:27:03.000Z

2022-01-16T02:57:51.000Z

tests/test_set_key.py

GustavoKatel/pushbullet-cli

e5102772752a97db539594b0d50b5effb36a22e2

[ "MIT" ]

21

2017-01-26T06:08:54.000Z

2022-01-04T19:53:25.000Z

import platform import pytest @pytest.mark.skipif( platform.system() == "Windows", reason="cannot test this on windows" ) def test_set_key(set_key, pb_api, mocker): import keyring import getpass import six prev_token = six.text_type(keyring.get_password("pushbullet", "cli")) try: mocker.patch.object(getpass, "getpass", return_value="abc") set_key() assert keyring.get_password("pushbullet", "cli") == "abc" finally: keyring.set_password("pushbullet", "cli", prev_token)

25.52381

73

0.673507

67

536

5.208955

0.552239

0.051576

0.180516

0.160458

0.17765

0

0.197761

536

20

74

26.8

0.811628

0

0.160448

0

0.0625

1

0.0625

false

0.3125

0

0.375

0

null

0

1

0

null

0

1

0

4

e47c17dddcd00889d223b3d8fce4a9d9c3d285a3

356

py

Python

doingmathwithpython/ch03.py

andyliumathematics/mlnotes

7b7a1c37d7660bdf9144c59693719033080d654b

[ "Apache-2.0" ]

null

doingmathwithpython/ch03.py

andyliumathematics/mlnotes

7b7a1c37d7660bdf9144c59693719033080d654b

[ "Apache-2.0" ]

null

doingmathwithpython/ch03.py

andyliumathematics/mlnotes

7b7a1c37d7660bdf9144c59693719033080d654b

[ "Apache-2.0" ]

null

# %% l = [38,32,49,15,806,806] sum(l) # %% len(l) # %% sum(l)//len(l) # %% l.sort() # %% l # %% # %% l.most_common(1) # %% ''' 求众数：出现频率最高的数据 ''' from collections import Counter l = ['38','32','49','15','806','806'] c = Counter(l) print(c.most_common()[0][0]) print(c.most_common(1)) print(c.most_common(2)) # %% c.most_common()[0] # %% print(33) # %%

11.483871

37

0.530899

60

356

3.066667

0.383333

0.271739

0.23913

0.26087

0.163043

0

0.119205

0.151685

356

30

38

11.866667

0.490066

0.089888

0

0.04878

0

1

0

false

0

0.066667

0

0.066667

0.266667

0

null

1

0

1

0

null

0

4

e4884423f1f3c28f1f01d03c9e676127547b57c0

250

py

Python

docs/autodoc_example.py

aio-libs/sphinxcontrib-asyncio

dbfa79e29980e73ad2dd9dec59f1238b1a8a7cd7

[ "Apache-2.0" ]

19

2016-02-21T13:27:43.000Z

2020-02-19T17:22:38.000Z

docs/autodoc_example.py

aio-libs/sphinxcontrib-asyncio

dbfa79e29980e73ad2dd9dec59f1238b1a8a7cd7

[ "Apache-2.0" ]

9

2016-04-15T08:43:39.000Z

2022-01-06T10:43:08.000Z

docs/autodoc_example.py

aio-libs/sphinxcontrib-asyncio

dbfa79e29980e73ad2dd9dec59f1238b1a8a7cd7

[ "Apache-2.0" ]

6

2016-04-11T07:32:41.000Z

2019-09-28T10:59:51.000Z

import asyncio class MyClass: def my_func(self): """ Normal function """ @asyncio.coroutine def my_coro(self): """ This is my coroutine """ @asyncio.coroutine def coro(param): """ Module level async function """

14.705882

39

0.608

29

250

5.172414

0.62069

0.066667

0.253333

0

0.264

250

16

40

15.625

0.815217

0.264

0

0.285714

0

1

0.428571

false

0

0.142857

0

0.714286

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e49334330d41dc2dca73dcd98740a04934ce3d79

83

py

Python

DRF-React/appy/apps.py

Preet538-neitzen/LOC-Hackathon

e7bad458ef0069becdba42576f5fe1bfd736678b

[ "MIT" ]

null

DRF-React/appy/apps.py

Preet538-neitzen/LOC-Hackathon

e7bad458ef0069becdba42576f5fe1bfd736678b

[ "MIT" ]

8

2021-03-19T13:44:46.000Z

2022-03-12T00:55:03.000Z

DRF-React/appy/apps.py

Preet538-neitzen/LOC-Hackathon

e7bad458ef0069becdba42576f5fe1bfd736678b

[ "MIT" ]

1

2021-02-13T00:16:36.000Z

from django.apps import AppConfig class AppyConfig(AppConfig): name = 'appy'

13.833333

33

0.73494

10

83

6.1

0.9

0

0.180723

83

5

34

16.6

0.897059

0

0.048193

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e4954716a9c58078b2bd1d9c30cda00cbdaf306f

122

py

Python

training/continueLearning.py

dwright37/generative-concatenative-image-captioner

2bb257d4791e362e42a30bf0e4ca32e84f80d942

[ "MIT" ]

null

training/continueLearning.py

dwright37/generative-concatenative-image-captioner

2bb257d4791e362e42a30bf0e4ca32e84f80d942

[ "MIT" ]

null

training/continueLearning.py

dwright37/generative-concatenative-image-captioner

2bb257d4791e362e42a30bf0e4ca32e84f80d942

[ "MIT" ]

null

def continueLearning(losses): improving = losses[0] < losses[1] or losses[1] < losses[2] return improving

30.5

66

0.647541

15

122

5.266667

0.6

0.177215

0

0.043011

0.237705

122

3

67

40.666667

0.806452

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e4b424d5ad2b323394201895d8483eb6857e159f

3,158

py

Python

Python/tdw/FBOutput/StaticSpring.py

ricklentz/tdw

da40eec151acae20b28d6486defb4358d96adb0e

[ "BSD-2-Clause" ]

null

Python/tdw/FBOutput/StaticSpring.py

ricklentz/tdw

da40eec151acae20b28d6486defb4358d96adb0e

[ "BSD-2-Clause" ]

null

Python/tdw/FBOutput/StaticSpring.py

ricklentz/tdw

da40eec151acae20b28d6486defb4358d96adb0e

[ "BSD-2-Clause" ]

null

# automatically generated by the FlatBuffers compiler, do not modify # namespace: FBOutput import tdw.flatbuffers class StaticSpring(object): __slots__ = ['_tab'] @classmethod def GetRootAsStaticSpring(cls, buf, offset): n = tdw.flatbuffers.encode.Get(tdw.flatbuffers.packer.uoffset, buf, offset) x = StaticSpring() x.Init(buf, n + offset) return x # StaticSpring def Init(self, buf, pos): self._tab = tdw.flatbuffers.table.Table(buf, pos) # StaticSpring def Id(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.Get(tdw.flatbuffers.number_types.Int32Flags, o + self._tab.Pos) return 0 # StaticSpring def HasLimits(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) if o != 0: return bool(self._tab.Get(tdw.flatbuffers.number_types.BoolFlags, o + self._tab.Pos)) return False # StaticSpring def MinLimit(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) if o != 0: return self._tab.Get(tdw.flatbuffers.number_types.Float32Flags, o + self._tab.Pos) return 0.0 # StaticSpring def MaxLimit(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) if o != 0: return self._tab.Get(tdw.flatbuffers.number_types.Float32Flags, o + self._tab.Pos) return 0.0 # StaticSpring def Axis(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) if o != 0: x = o + self._tab.Pos from .Vector3 import Vector3 obj = Vector3() obj.Init(self._tab.Bytes, x) return obj return None # StaticSpring def Force(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14)) if o != 0: return self._tab.Get(tdw.flatbuffers.number_types.Float32Flags, o + self._tab.Pos) return 0.0 # StaticSpring def Damper(self): o = tdw.flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16)) if o != 0: return self._tab.Get(tdw.flatbuffers.number_types.Float32Flags, o + self._tab.Pos) return 0.0 def StaticSpringStart(builder): builder.StartObject(7) def StaticSpringAddId(builder, id): builder.PrependInt32Slot(0, id, 0) def StaticSpringAddHasLimits(builder, hasLimits): builder.PrependBoolSlot(1, hasLimits, 0) def StaticSpringAddMinLimit(builder, minLimit): builder.PrependFloat32Slot(2, minLimit, 0.0) def StaticSpringAddMaxLimit(builder, maxLimit): builder.PrependFloat32Slot(3, maxLimit, 0.0) def StaticSpringAddAxis(builder, axis): builder.PrependStructSlot(4, tdw.flatbuffers.number_types.UOffsetTFlags.py_type(axis), 0) def StaticSpringAddForce(builder, force): builder.PrependFloat32Slot(5, force, 0.0) def StaticSpringAddDamper(builder, damper): builder.PrependFloat32Slot(6, damper, 0.0) def StaticSpringEnd(builder): return builder.EndObject()

38.048193

129

0.679227

394

3,158

5.319797

0.22335

0.073473

0.133588

0.166985

0.449427

0.441317

0.432729

0.395038

0

0.027666

0.21026

3,158

82

130

38.512195

0.812751

0.060165

0

0.254237

1

0

0.001353

0

1

0.305085

false

0

0.033898

0.016949

0.627119

0

null

0

1

0

1

0

null

0

1

0

1

0

4

e4bd27232f18521dba7be29751865723323f35e8

94

py

Python

rust/resources/api/resources.py

AsiaLi/rust

9954d2bd9c337376840d638c6ac5af6d9a32ed28

[ "Apache-2.0" ]

5

2018-02-08T04:31:52.000Z

2020-05-08T00:59:05.000Z

rust/resources/api/resources.py

AsiaLi/rust

9954d2bd9c337376840d638c6ac5af6d9a32ed28

[ "Apache-2.0" ]

2

2019-03-23T03:14:06.000Z

2019-04-19T07:51:55.000Z

rust/resources/api/resources.py

AsiaLi/rust

9954d2bd9c337376840d638c6ac5af6d9a32ed28

[ "Apache-2.0" ]

4

2019-02-20T04:35:33.000Z

2020-05-07T13:46:27.000Z

#coding: utf8 """ built-in资源采用按需加载策略, 无需在此引入. 如要启用对应的资源, 请在项目的settings文件中配置RUST_RESOURCES """

15.666667

43

0.787234

8

94

9.125

1

0

0.011628

0.085106

94

6

44

15.666667

0.837209

0.893617

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

e4d1a5ffa7594bfb272d1e801de25c346e704f41

159

py

Python

finished/edabit/very_easy/return_sum.py

UltiRequiem/daily-python-practice

31f72c45378be90b8fcadd30d7042819ee551a17

[ "MIT" ]

8

2021-05-29T23:30:12.000Z

2021-09-24T03:25:44.000Z

finished/edabit/very_easy/return_sum.py

UltiRequiem/daily-python-practice

31f72c45378be90b8fcadd30d7042819ee551a17

[ "MIT" ]

null

finished/edabit/very_easy/return_sum.py

UltiRequiem/daily-python-practice

31f72c45378be90b8fcadd30d7042819ee551a17

[ "MIT" ]

6

2021-06-02T14:20:24.000Z

2021-08-19T00:49:26.000Z

def addition(x: int, y: int) -> int: return x + y # addition_lambda = lambda x, y: x + y # Test: if __name__ == "__main__": print(addition(78, 98))

15.9

38

0.591195

25

159

3.4

0.56

0.070588

0

0.033333

0.245283

159

9

39

17.666667

0.675

0.264151

0

0.070175

0

1

0.25

false

0

0.25

0.5

0.25

1

0

null

0

1

0

null

0

1

0

1

0

4

9021b355ad9a734bb50dcef4f74291f2233e5506

1,386

py

Python

spectrocrunch/utils/comparable.py

woutdenolf/spectrocrunch

fde4b6e0f462f464ce7af6a942b355d3d8f39f77

[ "MIT" ]

3

2018-04-16T15:51:36.000Z

2019-12-16T11:21:05.000Z

spectrocrunch/utils/comparable.py

woutdenolf/spectrocrunch

fde4b6e0f462f464ce7af6a942b355d3d8f39f77

[ "MIT" ]

null

spectrocrunch/utils/comparable.py

woutdenolf/spectrocrunch

fde4b6e0f462f464ce7af6a942b355d3d8f39f77

[ "MIT" ]

null

# -*- coding: utf-8 -*- import operator class Comparable(object): @property def _repr(self): """Unique representation of an instance""" return "{}{}".format(type(self).__name__, id(self)) def _cmpkey(self, other): return self._repr def _sortkey(self, other): return self._cmpkey def __repr__(self): return self._repr def __str__(self): return repr(self) def encode(self, *args, **kwargs): return str(self).encode(*args, **kwargs) def _compareop(self, other, op, key): a = getattr(self, key)(other) try: b = getattr(other, key)(self) except: return op(a, other) else: return op(a, b) def _sort(self, other, op): return self._compareop(other, op, "_sortkey") def _compare(self, other, op): return self._compareop(other, op, "_cmpkey") def __lt__(self, other): return self._sort(other, operator.lt) def __le__(self, other): return self._sort(other, operator.le) def __ge__(self, other): return self._sort(other, operator.ge) def __gt__(self, other): return self._sort(other, operator.gt) def __eq__(self, other): return self._compare(other, operator.eq) def __ne__(self, other): return self._compare(other, operator.ne)

23.491525

59

0.591631

170

1,386

4.5

0.270588

0.129412

0.156863

0.198693

0.386928

0.096732

0

0.001002

0.279942

1,386

58

60

23.896552

0.765531

0.042569

0

0.051282

0

0.014383

0

1

0.384615

false

0

0.025641

0.333333

0.846154

0

null

0

1

0

null

0

1

0

1

0

4

5f483bb62aff2e6859980fe0b75abe98dd22d479

3,873

py

Python

fixture/contact.py

piersto/python_training

a5e323f62177e97d31e39449d675192354ec70ed

[ "Apache-2.0" ]

null

fixture/contact.py

piersto/python_training

a5e323f62177e97d31e39449d675192354ec70ed

[ "Apache-2.0" ]

null

fixture/contact.py

piersto/python_training

a5e323f62177e97d31e39449d675192354ec70ed

[ "Apache-2.0" ]

null

class ContactHelper: def __init__(self, app): self.app = app def submit_specified_user(self): wd = self.app.wd wd.find_element_by_xpath("(//input[@name='submit'])[2]").click() def add_user(self, add_new_contact): wd = self.app.wd wd.find_element_by_link_text("add new").click() wd.find_element_by_name("firstname").click() wd.find_element_by_name("firstname").clear() wd.find_element_by_name("firstname").send_keys(add_new_contact.firstname) wd.find_element_by_name("middlename").clear() wd.find_element_by_name("middlename").send_keys(add_new_contact.middlename) wd.find_element_by_name("lastname").clear() wd.find_element_by_name("lastname").send_keys(add_new_contact.lastname) wd.find_element_by_name("nickname").clear() wd.find_element_by_name("nickname").send_keys(add_new_contact.nickname) wd.find_element_by_name("title").clear() wd.find_element_by_name("title").send_keys(add_new_contact.title) wd.find_element_by_name("company").clear() wd.find_element_by_name("company").send_keys(add_new_contact.company) wd.find_element_by_name("address").clear() wd.find_element_by_name("address").send_keys(add_new_contact.address) wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(add_new_contact.homephone) wd.find_element_by_name("mobile").clear() wd.find_element_by_name("mobile").send_keys(add_new_contact.mobilephone) wd.find_element_by_name("work").clear() wd.find_element_by_name("work").send_keys(add_new_contact.workphone) wd.find_element_by_name("fax").clear() wd.find_element_by_name("fax").send_keys(add_new_contact.fax) wd.find_element_by_name("email").clear() wd.find_element_by_name("email").send_keys(add_new_contact.email) wd.find_element_by_name("homepage").clear() wd.find_element_by_name("homepage").send_keys(add_new_contact.homepage) wd.find_element_by_name("bday").click() Select(wd.find_element_by_name("bday")).select_by_visible_text(add_new_contact.birthday) wd.find_element_by_name("bday").click() wd.find_element_by_name("bmonth").click() Select(wd.find_element_by_name("bmonth")).select_by_visible_text(add_new_contact.birthmonth) wd.find_element_by_name("bmonth").click() wd.find_element_by_name("byear").click() wd.find_element_by_name("byear").clear() wd.find_element_by_name("byear").send_keys(add_new_contact.birthyear) wd.find_element_by_name("aday").click() Select(wd.find_element_by_name("aday")).select_by_visible_text(add_new_contact.anniversaryday) wd.find_element_by_name("aday").click() wd.find_element_by_name("amonth").click() Select(wd.find_element_by_name("amonth")).select_by_visible_text(add_new_contact.anniversarymonth) wd.find_element_by_name("amonth").click() wd.find_element_by_name("ayear").click() wd.find_element_by_name("ayear").clear() wd.find_element_by_name("ayear").send_keys(add_new_contact.anniversaryyear) wd.find_element_by_name("address2").click() wd.find_element_by_name("address2").clear() wd.find_element_by_name("address2").send_keys(add_new_contact.address_2) wd.find_element_by_name("phone2").clear() wd.find_element_by_name("phone2").send_keys(add_new_contact.phone_2) wd.find_element_by_name("notes").clear() wd.find_element_by_name("notes").send_keys(add_new_contact.notes)

60.515625

110

0.674154

536

3,873

4.408582

0.11194

0.137114

0.29708

0.342785

0.869234

0.727042

0.289463

0.022006

0

0.002576

0.198296

3,873

64

111

60.515625

0.758454

0

0.163934

0

0.08983

0.007228

0

1

0.04918

false

0

0.065574

0

null

0

1

0

null

0

4

5f65055d81665e397feccfc78dd6d2f299634b64

138

py

Python

cumulus2/template.py

peterkh/cumulus2

11352ce469acb0c319ba9cfb8691d80f4ae5048e

[ "Apache-2.0" ]

1

2016-02-12T11:54:07.000Z

cumulus2/template.py

peterkh/cumulus2

11352ce469acb0c319ba9cfb8691d80f4ae5048e

[ "Apache-2.0" ]

null

cumulus2/template.py

peterkh/cumulus2

11352ce469acb0c319ba9cfb8691d80f4ae5048e

[ "Apache-2.0" ]

null

""" Template module for cumulus. template class for reading yaml tempalte and creating data_source objects to retrieve external data. """

23

76

0.797101

19

138

5.736842

0.842105

0

0.144928

138

5

77

27.6

0.923729

0.934783

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

5f6e27388481683369aca2bd805d2c503d7286e8

189

py

Python

deep_learning_zero/ch5/sample.py

kaito0223/shakyou

8d901b4da24fbf0c708e3eb429a57d194e9857c1

[ "MIT" ]

null

deep_learning_zero/ch5/sample.py

kaito0223/shakyou

8d901b4da24fbf0c708e3eb429a57d194e9857c1

[ "MIT" ]

null

deep_learning_zero/ch5/sample.py

kaito0223/shakyou

8d901b4da24fbf0c708e3eb429a57d194e9857c1

[ "MIT" ]

null

# -*- coding: utf-8 -*- import numpy as np X = np.random.rand(2) #input W = np.random.rand(2,3) #weight B = np.random.rand(3) #bias print(X) print(W) print(B) Y=np.dot(X,W)+B print(Y)

11.8125

31

0.613757

40

189

2.9

0.5

0.206897

0.310345

0.224138

0

0.031646

0.164021

189

15

32

12.6

0.702532

0.190476

0

1

0

false

0

0.111111

0

0.111111

0.444444

0

null

1

0

null

0

1

0

4

5f79476b04b3854cb2181098acbee05c751aa836

307

py

Python

kinopoisk_unofficial/response/films/seasons_response.py

masterWeber/kinopoisk-api-unofficial-client

5c95e1ec6e43bd302399b63a1525ee7e61724155

[ "MIT" ]

2

2021-11-13T12:23:41.000Z

2021-12-24T14:09:49.000Z

kinopoisk_unofficial/response/films/seasons_response.py

masterWeber/kinopoisk-api-unofficial-client

5c95e1ec6e43bd302399b63a1525ee7e61724155

[ "MIT" ]

1

2022-03-29T19:13:24.000Z

2022-03-30T18:57:23.000Z

kinopoisk_unofficial/response/films/seasons_response.py

masterWeber/kinopoisk-api-unofficial-client

5c95e1ec6e43bd302399b63a1525ee7e61724155

[ "MIT" ]

1

2021-11-13T12:30:01.000Z

from dataclasses import field, dataclass from typing import List from kinopoisk_unofficial.contract.response import Response from kinopoisk_unofficial.model.season import Season @dataclass(frozen=True) class SeasonsResponse(Response): total: int items: List[Season] = field(default_factory=list)

25.583333

59

0.814332

38

307

6.5

0.578947

0.105263

0.186235

0

0.120521

307

11

60

27.909091

0.914815

0

1

0

true

0

0.5

0

0.875

0

null

0

1

0

null

0

1

0

1

0

1

0

4

5f9b09cbcd120955bb173c4d9f5b1fd61f32f6e1

103

py

Python

notebooks/python_recap/_solutions/python_rehearsal6.py

jonasvdd/DS-python-data-analysis

835226f562ee0b0631d70e48a17c4526ff58a538

[ "BSD-3-Clause" ]

65

2017-03-21T09:15:40.000Z

2022-02-01T23:43:08.000Z

notebooks/python_recap/_solutions/python_rehearsal6.py

jonasvdd/DS-python-data-analysis

835226f562ee0b0631d70e48a17c4526ff58a538

[ "BSD-3-Clause" ]

100

2016-12-15T03:44:06.000Z

2022-03-07T08:14:07.000Z

notebooks/python_recap/_solutions/python_rehearsal6.py

jonasvdd/DS-python-data-analysis

835226f562ee0b0631d70e48a17c4526ff58a538

[ "BSD-3-Clause" ]

52

2016-12-19T07:48:52.000Z

2022-02-19T17:53:48.000Z

np_pressures_hPa * math.exp(-gravit_acc * molar_mass_earth* height/(gas_constant*standard_temperature))

103

0.84466

15

103

5.333333

1

0

0.048544

103

1

103

0.816327

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

4

5fb7671976b6e01ae676fe790432693d8f4d3e4c

286

py

Python

st_library/utils/generics/singleton.py

vartagg/dataprovider-py

e392af3dab21c99c51a32345710fcd0dc4023462

[ "Apache-2.0" ]

null

st_library/utils/generics/singleton.py

vartagg/dataprovider-py

e392af3dab21c99c51a32345710fcd0dc4023462

[ "Apache-2.0" ]

2

2018-03-27T11:06:46.000Z

2020-10-27T20:48:51.000Z

st_library/utils/generics/singleton.py

vartagg/dataprovider-py

e392af3dab21c99c51a32345710fcd0dc4023462

[ "Apache-2.0" ]

4

2018-02-26T08:12:39.000Z

2018-05-18T06:01:01.000Z

class Singleton(object): _instances = {} def __new__(cls, *args, **kwargs): if cls not in cls._instances: # noinspection PyArgumentList cls._instances[cls] = super(Singleton, cls).__new__(cls, *args, **kwargs) return cls._instances[cls]

31.777778

85

0.618881

31

286

5.322581

0.516129

0.218182

0.121212

0.193939

0

0.258741

286

8

86

35.75

0.778302

0.094406

0

1

0.166667

false

0

0.666667

0

null

1

0

1

0

1

0

null

0

1

0

4

396e8a1e3e6aa7c66751f496564ba6b53523d4aa

43

py

Python

homemade_steganog/__init__.py

zoomie/homemade_steganog

1ab0a140b6a2e0d9d36073d067a2c808c97adf38

[ "MIT" ]

1

2019-03-12T13:25:43.000Z

homemade_steganog/__init__.py

zoomie/homemade_encryption

1ab0a140b6a2e0d9d36073d067a2c808c97adf38

[ "MIT" ]

4

2020-03-24T16:43:01.000Z

2022-03-11T23:39:53.000Z

homemade_steganog/__init__.py

zoomie/homemade_encryption

1ab0a140b6a2e0d9d36073d067a2c808c97adf38

[ "MIT" ]

null

from .home import Steg __all__ = ['Steg',]

14.333333

22

0.674419

6

43

4.166667

0.833333

0

0.162791

43

3

23

14.333333

0.694444

0

0.090909

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

3974ecf545e9249007cc970e291df529ea220e8f

83

py

Python

devind_helpers/validator/__init__.py

devind-team/devind-django-helpers

5c64d46a12802bbe0b70e44aa9d19bf975511b6e

[ "MIT" ]

null

devind_helpers/validator/__init__.py

devind-team/devind-django-helpers

5c64d46a12802bbe0b70e44aa9d19bf975511b6e

[ "MIT" ]

4

2022-02-18T09:24:05.000Z

2022-03-31T16:46:29.000Z

devind_helpers/validator/__init__.py

devind-team/devind-django-helpers

5c64d46a12802bbe0b70e44aa9d19bf975511b6e

[ "MIT" ]

null

from .validators import Validator, BaseRule __all__ = ('Validator', 'BaseRule',)

16.6

43

0.73494

8

83

7.125

0.75

0.596491

0

0.13253

83

4

44

20.75

0.791667

0

0.204819

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

39a9bf645816b1c506dcc188750ce0f86697bf35

241

py

Python

8. The Prisoner.py

Zfauser/Code-Combat-Introductory-To-Computer-Science-Python-Answers

231d17ad2224fc616c022b515bc14e78ec5822f9

[ "MIT" ]

1

2021-02-25T16:43:08.000Z

8. The Prisoner.py

Zfauser/Code-Combat-Introductory-To-Computer-Science-Python-Answers

231d17ad2224fc616c022b515bc14e78ec5822f9

[ "MIT" ]

null

8. The Prisoner.py

Zfauser/Code-Combat-Introductory-To-Computer-Science-Python-Answers

231d17ad2224fc616c022b515bc14e78ec5822f9

[ "MIT" ]

null

# Free the prisoner, defeat the guard and grab the gem. hero.moveRight() # Free Patrick from behind the "Weak Door". hero.attack("Weak Door") hero.moveRight(2) # Defeat the guard, named "Two". # Get the gem. hero.moveRight() hero.moveDown(3)

26.777778

55

0.73029

39

241

4.512821

0.564103

0.221591

0.159091

0.215909

0

0.009662

0.141079

241

9

56

26.777778

0.84058

0.576763

0

0.4

0

0.091837

0

1

0

true

0

null

1

0

1

0

1

0

null

0

1

0

4

39bfed4c3b2ea966740de31f26fe83daafbdbab5

171

py

Python

setup.py

andribas404/splay_benchmark

1ba2fe4d715b25db806c0b241c6adadd8d442a77

[ "MIT" ]

null

setup.py

andribas404/splay_benchmark

1ba2fe4d715b25db806c0b241c6adadd8d442a77

[ "MIT" ]

null

setup.py

andribas404/splay_benchmark

1ba2fe4d715b25db806c0b241c6adadd8d442a77

[ "MIT" ]

null

""" Setup. python setup.py build_ext --inplace """ from distutils.core import setup from Cython.Build import cythonize setup(ext_modules=cythonize('splay_tree.pyx'))

13.153846

46

0.760234

24

171

5.291667

0.666667

0

0.122807

171

12

47

14.25

0.846667

0.251462

0

0.116667

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

1

0

4

39d61db6e252ece16991b4c554bc384accb4d908

27,144

py

Python

line/f_MessageService.py

winbotscript/LineService

4c79029648e858e567378485e75276f865c1f73f

[ "Apache-2.0" ]

1

2020-08-20T08:00:23.000Z

line/f_MessageService.py

winbotscript/LineService

4c79029648e858e567378485e75276f865c1f73f

[ "Apache-2.0" ]

null

line/f_MessageService.py

winbotscript/LineService

4c79029648e858e567378485e75276f865c1f73f

[ "Apache-2.0" ]

null

# # Autogenerated by Frugal Compiler (3.4.3) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # from threading import Lock from frugal.middleware import Method from frugal.exceptions import TApplicationExceptionType from frugal.exceptions import TTransportExceptionType from frugal.processor import FBaseProcessor from frugal.processor import FProcessorFunction from frugal.util.deprecate import deprecated from frugal.util import make_hashable from thrift.Thrift import TApplicationException from thrift.Thrift import TMessageType from thrift.transport.TTransport import TTransportException from .ttypes import * class Iface(object): def fetchMessageOperations(self, ctx, localRevision, lastOpTimestamp, count): """ Args: ctx: FContext localRevision: int (signed 64 bits) lastOpTimestamp: int (signed 64 bits) count: int (signed 32 bits) """ pass def getLastReadMessageIds(self, ctx, chatId): """ Args: ctx: FContext chatId: string """ pass def multiGetLastReadMessageIds(self, ctx, chatIds): """ Args: ctx: FContext chatIds: list of string """ pass class Client(Iface): def __init__(self, provider, middleware=None): """ Create a new Client with an FServiceProvider containing a transport and protocol factory. Args: provider: FServiceProvider with TSynchronousTransport middleware: ServiceMiddleware or list of ServiceMiddleware """ middleware = middleware or [] if middleware and not isinstance(middleware, list): middleware = [middleware] self._transport = provider.get_transport() self._protocol_factory = provider.get_protocol_factory() self._oprot = self._protocol_factory.get_protocol(self._transport) self._iprot = self._protocol_factory.get_protocol(self._transport) self._write_lock = Lock() middleware += provider.get_middleware() self._methods = { 'fetchMessageOperations': Method(self._fetchMessageOperations, middleware), 'getLastReadMessageIds': Method(self._getLastReadMessageIds, middleware), 'multiGetLastReadMessageIds': Method(self._multiGetLastReadMessageIds, middleware), } def fetchMessageOperations(self, ctx, localRevision, lastOpTimestamp, count): """ Args: ctx: FContext localRevision: int (signed 64 bits) lastOpTimestamp: int (signed 64 bits) count: int (signed 32 bits) """ return self._methods['fetchMessageOperations']([ctx, localRevision, lastOpTimestamp, count]) def _fetchMessageOperations(self, ctx, localRevision, lastOpTimestamp, count): self._send_fetchMessageOperations(ctx, localRevision, lastOpTimestamp, count) return self._recv_fetchMessageOperations(ctx) def _send_fetchMessageOperations(self, ctx, localRevision, lastOpTimestamp, count): oprot = self._oprot with self._write_lock: oprot.get_transport().set_timeout(ctx.timeout) oprot.write_request_headers(ctx) oprot.writeMessageBegin('fetchMessageOperations', TMessageType.CALL, 0) args = fetchMessageOperations_args() args.localRevision = localRevision args.lastOpTimestamp = lastOpTimestamp args.count = count args.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() def _recv_fetchMessageOperations(self, ctx): self._iprot.read_response_headers(ctx) _, mtype, _ = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() if x.type == TApplicationExceptionType.RESPONSE_TOO_LARGE: raise TTransportException(type=TTransportExceptionType.RESPONSE_TOO_LARGE, message=x.message) raise x result = fetchMessageOperations_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.e is not None: raise result.e if result.success is not None: return result.success x = TApplicationException(TApplicationExceptionType.MISSING_RESULT, "fetchMessageOperations failed: unknown result") raise x def getLastReadMessageIds(self, ctx, chatId): """ Args: ctx: FContext chatId: string """ return self._methods['getLastReadMessageIds']([ctx, chatId]) def _getLastReadMessageIds(self, ctx, chatId): self._send_getLastReadMessageIds(ctx, chatId) return self._recv_getLastReadMessageIds(ctx) def _send_getLastReadMessageIds(self, ctx, chatId): oprot = self._oprot with self._write_lock: oprot.get_transport().set_timeout(ctx.timeout) oprot.write_request_headers(ctx) oprot.writeMessageBegin('getLastReadMessageIds', TMessageType.CALL, 0) args = getLastReadMessageIds_args() args.chatId = chatId args.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() def _recv_getLastReadMessageIds(self, ctx): self._iprot.read_response_headers(ctx) _, mtype, _ = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() if x.type == TApplicationExceptionType.RESPONSE_TOO_LARGE: raise TTransportException(type=TTransportExceptionType.RESPONSE_TOO_LARGE, message=x.message) raise x result = getLastReadMessageIds_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.e is not None: raise result.e if result.success is not None: return result.success x = TApplicationException(TApplicationExceptionType.MISSING_RESULT, "getLastReadMessageIds failed: unknown result") raise x def multiGetLastReadMessageIds(self, ctx, chatIds): """ Args: ctx: FContext chatIds: list of string """ return self._methods['multiGetLastReadMessageIds']([ctx, chatIds]) def _multiGetLastReadMessageIds(self, ctx, chatIds): self._send_multiGetLastReadMessageIds(ctx, chatIds) return self._recv_multiGetLastReadMessageIds(ctx) def _send_multiGetLastReadMessageIds(self, ctx, chatIds): oprot = self._oprot with self._write_lock: oprot.get_transport().set_timeout(ctx.timeout) oprot.write_request_headers(ctx) oprot.writeMessageBegin('multiGetLastReadMessageIds', TMessageType.CALL, 0) args = multiGetLastReadMessageIds_args() args.chatIds = chatIds args.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() def _recv_multiGetLastReadMessageIds(self, ctx): self._iprot.read_response_headers(ctx) _, mtype, _ = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() if x.type == TApplicationExceptionType.RESPONSE_TOO_LARGE: raise TTransportException(type=TTransportExceptionType.RESPONSE_TOO_LARGE, message=x.message) raise x result = multiGetLastReadMessageIds_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.e is not None: raise result.e if result.success is not None: return result.success x = TApplicationException(TApplicationExceptionType.MISSING_RESULT, "multiGetLastReadMessageIds failed: unknown result") raise x class Processor(FBaseProcessor): def __init__(self, handler, middleware=None): """ Create a new Processor. Args: handler: Iface """ if middleware and not isinstance(middleware, list): middleware = [middleware] super(Processor, self).__init__() self.add_to_processor_map('fetchMessageOperations', _fetchMessageOperations(Method(handler.fetchMessageOperations, middleware), self.get_write_lock())) self.add_to_processor_map('getLastReadMessageIds', _getLastReadMessageIds(Method(handler.getLastReadMessageIds, middleware), self.get_write_lock())) self.add_to_processor_map('multiGetLastReadMessageIds', _multiGetLastReadMessageIds(Method(handler.multiGetLastReadMessageIds, middleware), self.get_write_lock())) class _fetchMessageOperations(FProcessorFunction): def __init__(self, handler, lock): super(_fetchMessageOperations, self).__init__(handler, lock) def process(self, ctx, iprot, oprot): args = fetchMessageOperations_args() args.read(iprot) iprot.readMessageEnd() result = fetchMessageOperations_result() try: result.success = self._handler([ctx, args.localRevision, args.lastOpTimestamp, args.count]) except TalkException as e: result.e = e except TApplicationException as ex: with self._lock: _write_application_exception(ctx, oprot, "fetchMessageOperations", exception=ex) return except Exception as e: with self._lock: _write_application_exception(ctx, oprot, "fetchMessageOperations", ex_code=TApplicationExceptionType.INTERNAL_ERROR, message=e.message) raise with self._lock: try: oprot.write_response_headers(ctx) oprot.writeMessageBegin('fetchMessageOperations', TMessageType.REPLY, 0) result.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() except TTransportException as e: # catch a request too large error because the TMemoryOutputBuffer always throws that if too much data is written if e.type == TTransportExceptionType.REQUEST_TOO_LARGE: raise _write_application_exception(ctx, oprot, "fetchMessageOperations", ex_code=TApplicationExceptionType.RESPONSE_TOO_LARGE, message=e.args[0]) else: raise e class _getLastReadMessageIds(FProcessorFunction): def __init__(self, handler, lock): super(_getLastReadMessageIds, self).__init__(handler, lock) def process(self, ctx, iprot, oprot): args = getLastReadMessageIds_args() args.read(iprot) iprot.readMessageEnd() result = getLastReadMessageIds_result() try: result.success = self._handler([ctx, args.chatId]) except TalkException as e: result.e = e except TApplicationException as ex: with self._lock: _write_application_exception(ctx, oprot, "getLastReadMessageIds", exception=ex) return except Exception as e: with self._lock: _write_application_exception(ctx, oprot, "getLastReadMessageIds", ex_code=TApplicationExceptionType.INTERNAL_ERROR, message=e.message) raise with self._lock: try: oprot.write_response_headers(ctx) oprot.writeMessageBegin('getLastReadMessageIds', TMessageType.REPLY, 0) result.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() except TTransportException as e: # catch a request too large error because the TMemoryOutputBuffer always throws that if too much data is written if e.type == TTransportExceptionType.REQUEST_TOO_LARGE: raise _write_application_exception(ctx, oprot, "getLastReadMessageIds", ex_code=TApplicationExceptionType.RESPONSE_TOO_LARGE, message=e.args[0]) else: raise e class _multiGetLastReadMessageIds(FProcessorFunction): def __init__(self, handler, lock): super(_multiGetLastReadMessageIds, self).__init__(handler, lock) def process(self, ctx, iprot, oprot): args = multiGetLastReadMessageIds_args() args.read(iprot) iprot.readMessageEnd() result = multiGetLastReadMessageIds_result() try: result.success = self._handler([ctx, args.chatIds]) except TalkException as e: result.e = e except TApplicationException as ex: with self._lock: _write_application_exception(ctx, oprot, "multiGetLastReadMessageIds", exception=ex) return except Exception as e: with self._lock: _write_application_exception(ctx, oprot, "multiGetLastReadMessageIds", ex_code=TApplicationExceptionType.INTERNAL_ERROR, message=e.message) raise with self._lock: try: oprot.write_response_headers(ctx) oprot.writeMessageBegin('multiGetLastReadMessageIds', TMessageType.REPLY, 0) result.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() except TTransportException as e: # catch a request too large error because the TMemoryOutputBuffer always throws that if too much data is written if e.type == TTransportExceptionType.REQUEST_TOO_LARGE: raise _write_application_exception(ctx, oprot, "multiGetLastReadMessageIds", ex_code=TApplicationExceptionType.RESPONSE_TOO_LARGE, message=e.args[0]) else: raise e def _write_application_exception(ctx, oprot, method, ex_code=None, message=None, exception=None): if exception is not None: x = exception else: x = TApplicationException(type=ex_code, message=message) oprot.write_response_headers(ctx) oprot.writeMessageBegin(method, TMessageType.EXCEPTION, 0) x.write(oprot) oprot.writeMessageEnd() oprot.get_transport().flush() return x class fetchMessageOperations_args(object): """ Attributes: - localRevision - lastOpTimestamp - count """ def __init__(self, localRevision=None, lastOpTimestamp=None, count=None): self.localRevision = localRevision self.lastOpTimestamp = lastOpTimestamp self.count = count def read(self, iprot): iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 2: if ftype == TType.I64: self.localRevision = iprot.readI64() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I64: self.lastOpTimestamp = iprot.readI64() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.I32: self.count = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() self.validate() def write(self, oprot): self.validate() oprot.writeStructBegin('fetchMessageOperations_args') if self.localRevision is not None: oprot.writeFieldBegin('localRevision', TType.I64, 2) oprot.writeI64(self.localRevision) oprot.writeFieldEnd() if self.lastOpTimestamp is not None: oprot.writeFieldBegin('lastOpTimestamp', TType.I64, 3) oprot.writeI64(self.lastOpTimestamp) oprot.writeFieldEnd() if self.count is not None: oprot.writeFieldBegin('count', TType.I32, 4) oprot.writeI32(self.count) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(make_hashable(self.localRevision)) value = (value * 31) ^ hash(make_hashable(self.lastOpTimestamp)) value = (value * 31) ^ hash(make_hashable(self.count)) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class fetchMessageOperations_result(object): """ Attributes: - success - e """ def __init__(self, success=None, e=None): self.success = success self.e = e def read(self, iprot): iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.STRUCT: self.success = MessageOperations() self.success.read(iprot) else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.e = TalkException() self.e.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() self.validate() def write(self, oprot): self.validate() oprot.writeStructBegin('fetchMessageOperations_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() if self.e is not None: oprot.writeFieldBegin('e', TType.STRUCT, 1) self.e.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(make_hashable(self.success)) value = (value * 31) ^ hash(make_hashable(self.e)) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class getLastReadMessageIds_args(object): """ Attributes: - chatId """ def __init__(self, chatId=None): self.chatId = chatId def read(self, iprot): iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 2: if ftype == TType.STRING: self.chatId = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() self.validate() def write(self, oprot): self.validate() oprot.writeStructBegin('getLastReadMessageIds_args') if self.chatId is not None: oprot.writeFieldBegin('chatId', TType.STRING, 2) oprot.writeString(self.chatId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(make_hashable(self.chatId)) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class getLastReadMessageIds_result(object): """ Attributes: - success - e """ def __init__(self, success=None, e=None): self.success = success self.e = e def read(self, iprot): iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.STRUCT: self.success = LastReadMessageIds() self.success.read(iprot) else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.e = TalkException() self.e.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() self.validate() def write(self, oprot): self.validate() oprot.writeStructBegin('getLastReadMessageIds_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() if self.e is not None: oprot.writeFieldBegin('e', TType.STRUCT, 1) self.e.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(make_hashable(self.success)) value = (value * 31) ^ hash(make_hashable(self.e)) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class multiGetLastReadMessageIds_args(object): """ Attributes: - chatIds """ def __init__(self, chatIds=None): self.chatIds = chatIds def read(self, iprot): iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 2: if ftype == TType.LIST: self.chatIds = [] (_, elem602) = iprot.readListBegin() for _ in range(elem602): elem603 = iprot.readString() self.chatIds.append(elem603) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() self.validate() def write(self, oprot): self.validate() oprot.writeStructBegin('multiGetLastReadMessageIds_args') if self.chatIds is not None: oprot.writeFieldBegin('chatIds', TType.LIST, 2) oprot.writeListBegin(TType.STRING, len(self.chatIds)) for elem604 in self.chatIds: oprot.writeString(elem604) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(make_hashable(self.chatIds)) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class multiGetLastReadMessageIds_result(object): """ Attributes: - success - e """ def __init__(self, success=None, e=None): self.success = success self.e = e def read(self, iprot): iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.LIST: self.success = [] (_, elem605) = iprot.readListBegin() for _ in range(elem605): elem606 = LastReadMessageIds() elem606.read(iprot) self.success.append(elem606) iprot.readListEnd() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.e = TalkException() self.e.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() self.validate() def write(self, oprot): self.validate() oprot.writeStructBegin('multiGetLastReadMessageIds_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRUCT, len(self.success)) for elem607 in self.success: elem607.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() if self.e is not None: oprot.writeFieldBegin('e', TType.STRUCT, 1) self.e.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(make_hashable(self.success)) value = (value * 31) ^ hash(make_hashable(self.e)) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)

35.57536

171

0.597222

2,578

27,144

6.069822

0.082234

0.014379

0.010353

0.019555

0.740542

0.70271

0.682388

0.654269

0.632541

0.611388

0

0.007697

0.31075

27,144

762

172

35.622047

0.828692

0.050066

0

0.732082

1

0

0.040028

0.031445

0

1

0.122867

false

0.005119

0.020478

0.030717

0.237201

0

null

0

1

0

1

0

1

0

null

0

4

39f17c6cf9e734ea907636289c61a9999dc0de12

251

py

Python

src/core/views.py

Ao99/django-boilerplate

7fa8078b67655698a4070ce58c10d2226fe1d59b

[ "MIT" ]

null

src/core/views.py

Ao99/django-boilerplate

7fa8078b67655698a4070ce58c10d2226fe1d59b

[ "MIT" ]

null

src/core/views.py

Ao99/django-boilerplate

7fa8078b67655698a4070ce58c10d2226fe1d59b

[ "MIT" ]

null

from django.shortcuts import render from django.views import View # Create your views here. class CoreView(View): template_name = 'core/home.html' def get(self, request, *args, **kwargs): return render(request, self.template_name, {})

31.375

54

0.717131

34

251

5.235294

0.705882

0.11236

0

0.171315

251

8

54

31.375

0.855769

0.091633

0

0.061674

0

1

0.166667

false

0

0.333333

0.166667

1

0

null

0

1

0

null

0

1

0

4

f2fea27459e59001e49be2e7ed0478672dee266a

264

py

Python

clamor/rest/endpoints/__init__.py

TomSputz/Clamor

13222b90532938e6ebdbe8aea0430512e7d22817

[ "MIT" ]

15

2019-07-05T20:26:18.000Z

2020-09-18T12:44:16.000Z

clamor/rest/endpoints/__init__.py

TomSputz/Clamor

13222b90532938e6ebdbe8aea0430512e7d22817

[ "MIT" ]

7

2019-07-07T19:55:07.000Z

2019-08-20T22:07:31.000Z

clamor/rest/endpoints/__init__.py

TomSputz/Clamor

13222b90532938e6ebdbe8aea0430512e7d22817

[ "MIT" ]

6

2019-07-07T20:39:29.000Z

2020-11-06T10:12:20.000Z

# -*- coding: utf-8 -*- from . import base from .audit_log import * from .channel import * from .emoji import * from .gateway import * from .guild import * from .invite import * from .oauth import * from .user import * from .voice import * from .webhook import *

18.857143

24

0.69697

37

264

4.945946

0.459459

0.491803

0

0.004673

0.189394

264

13

25

20.307692

0.850467

0.079545

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

84513ebf1e835ed2f032b1060dd720580d3e05a2

668

py

Python

practicer_flask/app.py

DominikPott/practicer-flask

c8e523095bdd5912dadb7357d16a4e76229a04da

[ "MIT" ]

null

practicer_flask/app.py

DominikPott/practicer-flask

c8e523095bdd5912dadb7357d16a4e76229a04da

[ "MIT" ]

null

practicer_flask/app.py

DominikPott/practicer-flask

c8e523095bdd5912dadb7357d16a4e76229a04da

[ "MIT" ]

null

import os from flask import Flask import practicer_flask.auth import practicer_flask.exercises import practicer_flask.dashboard import practicer_flask.topic import practicer_flask.model_viewer def create_app(test_config=None): app = Flask(__name__) app.config.from_mapping(SECRET_KEY=os.environ.get("SECRET_KEY", 'local')) app.register_blueprint(practicer_flask.auth.bp) app.register_blueprint(practicer_flask.exercises.bp) app.register_blueprint(practicer_flask.dashboard.bp) app.register_blueprint(practicer_flask.topic.bp) return app app = create_app() if __name__ == "__main__": app.run(debug=os.environ.get("DEV", False))

23.857143

77

0.784431

92

668

5.347826

0.369565

0.256098

0.203252

0.235772

0.288618

0.219512

0

0.118263

668

27

78

24.740741

0.835314

0

0.038922

0

1

0.055556

false

0

0.388889

0

0.5

0.222222

0

null

1

0

null

0

1

0

4

8460d12d7847a84d2047777b7d49fa013dbd6421

92

py

Python

back/apps/base_user/apps.py

pylvin/nuxt-drf-template

e3f32cf98a2bdf393f88fbda2afedf2c0bf99dc7

[ "MIT" ]

2

2021-11-16T03:47:06.000Z

2021-12-21T20:19:30.000Z

back/apps/base_user/apps.py

pylvin/nuxt-drf-template

e3f32cf98a2bdf393f88fbda2afedf2c0bf99dc7

[ "MIT" ]

null

back/apps/base_user/apps.py

pylvin/nuxt-drf-template

e3f32cf98a2bdf393f88fbda2afedf2c0bf99dc7

[ "MIT" ]

2

2021-12-21T20:19:39.000Z

2022-01-03T11:27:04.000Z

from django.apps import AppConfig class BaseUserConfig(AppConfig): name = 'base_user'

15.333333

33

0.76087

11

92

6.272727

0.909091

0

0.163043

92

5

34

18.4

0.896104

0

0.097826

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ffc0fbef26aaac232d9390250ce89e31f64b7ad8

31

py

Python

multinet/db/models/__init__.py

multinet-app/multinet-girder

f34c87849d92c7fe2f8589760f97bebbe04bd4af

[ "Apache-2.0" ]

3

2019-10-22T15:21:10.000Z

2020-02-13T17:40:07.000Z

multinet/db/models/__init__.py

multinet-app/multinet

f34c87849d92c7fe2f8589760f97bebbe04bd4af

[ "Apache-2.0" ]

183

2019-08-01T14:27:00.000Z

2020-03-04T17:47:49.000Z

multinet/db/models/__init__.py

multinet-app/multinet-girder

f34c87849d92c7fe2f8589760f97bebbe04bd4af

[ "Apache-2.0" ]

2

2020-08-20T11:57:17.000Z

2020-11-10T22:54:19.000Z

"""ORM models for multinet."""

15.5

30

0.645161

4

31

5

1

0

0.129032

31

1

31

0.740741

0.774194

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

fff27be5ec642c73c3bac5ec2ecda165d7fe17c5

145

py

Python

Hackerrank_python/15.numpy/10.Min and Max.py

manish1822510059/Hackerrank

7c6e4553f033f067e04dc6c756ef90cb43f3c4a8

[ "MIT" ]

39

2020-09-27T05:32:05.000Z

2022-01-08T18:04:05.000Z

Hackerrank_python/15.numpy/10.Min and Max.py

manish1822510059/Hackerrank

7c6e4553f033f067e04dc6c756ef90cb43f3c4a8

[ "MIT" ]

5

2020-10-02T13:33:00.000Z

2021-03-01T14:06:08.000Z

Hackerrank_python/15.numpy/10.Min and Max.py

manish1822510059/Hackerrank

7c6e4553f033f067e04dc6c756ef90cb43f3c4a8

[ "MIT" ]

6

2020-10-03T04:04:55.000Z

2021-10-18T04:07:53.000Z

import numpy as arr n,m=map(int,input().split()) ar=([list(map(int,input().split()))for _ in range(n)]) arr1=arr.min(ar,axis=1) print(max(arr1))

24.166667

54

0.668966

29

145

3.310345

0.724138

0.125

0.229167

0.333333

0

0.022388

0.075862

145

5

55

29

0.69403

0

1

0

false

0

0.2

0

0.2

1

0

null

0

1

0

1

0

null

0

4

081691097da1b52252fbbf22f08b3e7856a39982

5,825

py

Python

gonder_rc.py

TarikCinar/python-sesli-asistan

1a29a8d3081b67ff352cf03f7b01ac01b7118deb

[ "MIT" ]

1

2021-05-28T17:27:50.000Z

gonder_rc.py

TarikCinar/python-sesli-asistan

1a29a8d3081b67ff352cf03f7b01ac01b7118deb

[ "MIT" ]

null

gonder_rc.py

TarikCinar/python-sesli-asistan

1a29a8d3081b67ff352cf03f7b01ac01b7118deb

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.13.0) # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore qt_resource_data = b"\ \x00\x00\x04\x1a\ \x00\ \x01\x08\x3e\x78\x9c\xed\x9c\x4d\x6e\xd3\x50\x14\x85\x1d\x65\x10\ \x66\x61\xc4\x2c\x75\x87\xdd\x85\x59\x4a\x77\x92\xcc\xd2\x59\x97\ \xc2\x12\x40\x62\x01\x2c\xa1\x48\xb4\x62\x58\x86\x0c\x10\xc1\x76\ \x52\xc7\x3e\x21\x8e\xe3\xdf\x77\xdf\xfb\xbe\xea\x22\x1d\x17\x61\ \xc7\xe7\xbe\x73\x18\x54\x8d\xa2\x59\xfa\xb5\xd9\x44\xe9\x9f\xb7\ \xd1\xdd\xbb\x59\xf4\x21\x8a\xa2\xbb\x74\xd2\x4b\xd9\xc5\xfc\x7a\ \x4e\xfa\x3d\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x08\x97\x97\xed\x6a\xf3\xfc\xb0\x7a\x7a\xde\xae\xee\x9f\ \x1e\xe3\xf7\x53\x3f\x0f\x8c\x4b\xe6\xff\xcb\xc3\xcd\x2e\x9f\xed\ \xea\xf5\x79\x7b\xf3\xf8\x73\x1b\xdf\x4e\xfd\x5c\x30\x0e\x15\xff\ \x4b\x93\xee\xc1\xa7\x1f\xdb\xf8\xe3\xd4\xcf\x07\xc3\x72\xce\xff\ \x62\x0f\xe8\x06\xaf\xb9\xe4\x3f\xdd\xe0\x37\x8d\xfd\xa7\x1b\xbc\ \xa4\x8d\xff\x74\x83\x3f\x74\xf1\x9f\x6e\xb0\x4f\x2f\xfe\xd3\x0d\ \x66\xe9\xdb\x7f\xba\xc1\x16\x43\xf9\x4f\x37\xd8\x60\x70\xff\xe9\ \x06\xa7\x19\xd3\x7f\xba\xc1\x3d\xa6\xf0\x9f\x6e\x70\x87\x49\xfd\ \xa7\x1b\x26\xc7\x15\xff\xe9\x86\x69\x70\xcd\x7f\xba\x61\x5c\x9c\ \xf5\x9f\x6e\x18\x05\x0b\xfe\xd3\x0d\xc3\x61\xc9\x7f\xba\xa1\x7f\ \x4c\xfa\x5f\xce\x04\xba\xa1\x13\xd6\xfd\x2f\xf6\x80\x6e\x68\x85\ \x2f\xfe\x17\x43\x37\x5c\x85\x77\xfe\x97\x33\x81\x6e\xb8\x88\xcf\ \xfe\x17\x7b\x40\x37\x9c\x25\x04\xff\x8b\xa1\x1b\x4e\x08\xca\xff\ \x72\x26\xd0\x0d\x39\xa1\xfa\x5f\xec\x41\xe0\xdd\x10\xba\xff\xc5\ \x04\xda\x0d\xf8\x7f\x3a\x21\x75\x03\xfe\xd7\xec\x41\x00\xdd\x80\ \xff\x0d\xc6\xe3\x6e\xc0\xff\xeb\xc6\xb7\x6e\xc0\xff\x96\x7b\xe0\ \x49\x37\xe0\x7f\xc7\x31\xde\x0d\xf8\xdf\xdf\x58\xec\x06\xfc\x1f\ \x60\x0f\x0c\x75\x43\xb6\xaf\x59\x7e\xbd\x3c\xac\x3e\xa7\xbb\xf0\ \x6d\xea\x77\xe7\xd5\x18\xed\x86\xec\x79\xf7\x7b\xb1\xba\xcf\x7f\ \x3f\x58\x9a\x6b\x87\xfd\x78\x9d\xfc\x9d\x1a\x1d\x8b\xdd\x70\x8e\ \xec\x73\x64\x73\xd8\x0d\xb2\xe3\x9a\x3d\x30\xd4\x0d\x6d\x20\x3b\ \x1a\x8e\xd1\x6e\xe8\x0a\xd9\x71\x3a\x3e\x75\x43\x17\x42\xcf\x0e\ \xdf\xbb\xa1\x2b\xc1\x64\x47\xa0\xdd\xd0\x05\x5f\xb3\x83\x6e\xe8\ \x07\xeb\xd9\x41\x37\x0c\x87\xa9\xec\xa0\x1b\x46\xc7\xd5\xec\xa0\ \x1b\xc6\x01\xff\xfd\x86\xfc\xf7\x1f\x57\xcf\x70\xe3\xb3\xce\xff\ \xff\x6a\x31\x75\x86\xc9\xf8\x56\x58\x3f\xc3\x8d\x27\xd0\x8c\xf7\ \xf5\x0c\x37\x3e\xeb\x01\x64\x7c\x30\x67\xf8\x1a\xdf\x3d\xca\xf8\ \xd0\xcf\x70\xe3\x31\x9c\xf1\x9c\xe1\xf6\x63\x21\xe3\x39\xc3\x03\ \xf8\xee\x68\xc6\xf3\xf3\x9f\x03\x8e\x81\x8c\xe7\xe7\xbf\xfb\x1f\ \x0b\x19\xff\x06\xfe\xf7\xe8\xbb\xa3\x19\x5f\x07\xfe\x77\x1c\x03\ \x19\x5f\x07\xfe\xb7\x1b\x4b\x19\x5f\x07\xfe\x5f\xe9\xbb\xc1\x8c\ \xaf\x03\xff\x1b\x8c\xf1\x8c\xaf\x03\xff\xcf\x8f\x2f\x19\x5f\x07\ \xfe\xff\xc7\x77\xcf\x32\xbe\x0e\xfc\x3f\x8c\xc7\x19\x5f\x47\xe8\ \xfe\x87\x90\xf1\x75\x84\xea\x7f\x48\x19\x5f\x47\x50\xfe\x07\x9a\ \xf1\x75\x84\xe0\x7f\xe8\x19\x5f\x87\xcf\xfe\x93\xf1\x97\xf1\xce\ \x7f\x32\xfe\x2a\x7c\xf1\x9f\x8c\x6f\x87\x75\xff\xc9\xf8\x6e\x98\ \xf4\x9f\x8c\xef\x0d\x4b\xfe\x93\xf1\xfd\x63\xc1\x7f\x32\x7e\x38\ \x9c\xf5\x9f\x8c\x1f\x05\xd7\xfc\x27\xe3\xc7\xc5\x15\xff\xc9\xf8\ \x69\x98\xd4\x7f\x32\x7e\x72\xa6\xf0\x9f\x8c\x77\x87\x31\xfd\x27\ \xe3\xdd\x63\x70\xff\xc9\x78\xa7\x19\xca\x7f\x32\xde\x06\x7d\xfb\ \x4f\xc6\xdb\xa2\x17\xff\xc9\x78\xb3\x74\xf1\x9f\x8c\xb7\x4f\x1b\ \xff\xc9\x78\x7f\x68\xec\x3f\x19\xef\x25\x97\xfc\x27\xe3\xfd\xe6\ \x9c\xff\x64\x7c\x18\x54\xfc\x27\xe3\x83\x23\xff\xfd\x5e\x64\x3c\ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x80\ \x73\xec\x42\xe7\xab\xe8\x2f\xaa\x13\xd1\x0b\xd1\x33\xd1\xd1\x5a\ \xf4\x52\xf4\x5c\x74\xa4\x3a\x16\xbd\x10\x3d\x13\x1d\x25\xa2\x97\ \xa2\xe7\xa2\xcb\x8f\x98\xeb\x58\xf4\x42\x74\xa4\x3a\x11\xbd\x14\ \x3d\x13\x7d\xbc\xe3\x41\xc7\xa2\xe7\xa2\x23\xd5\x89\xe8\x85\xe8\ \x99\xe8\xb7\x3b\x16\x7a\x29\x7a\x2e\x3a\x52\x1d\x8b\x5e\x88\x9e\ \x89\xde\x3f\x62\x49\xe7\x77\xfc\x7b\xd4\xfb\x3b\x96\x2e\xec\x1f\ \xf1\x8f\xdc\xf1\x78\xe1\xed\x33\xfe\xae\x3e\xe2\xf1\x42\x61\xc3\ \xaf\xca\x67\x2c\x2e\x94\x36\xe5\x7b\xf9\xa5\x14\x17\xe2\xb3\x5a\ \xfe\xbe\xfc\x7b\x72\x3f\x79\x1e\x79\x5e\xf9\x3c\xf2\x79\xe5\x7d\ \xe8\xfb\xd2\xf7\x59\xd2\xf2\xbe\xd5\x0f\xf5\x2b\x16\xbd\xab\x6a\ \xdd\x07\xdd\x97\x75\x55\xeb\xbe\xe9\x3e\x26\xa2\x77\x55\xad\xfb\ \x1e\x8b\x5e\x57\xb5\x9e\x27\x3d\x6f\x89\xe8\x5d\x55\xeb\x79\x8e\ \x45\xaf\xab\x5a\xf3\x42\xf3\x24\xa9\x6a\xcd\x23\xcd\xab\x58\xf4\ \xae\xaa\x35\x0f\x35\x2f\xd7\x55\xad\x79\xab\x79\x9c\x88\xae\xca\ \x93\xbc\x0f\x9c\x7f\x31\x73\xbc\x32\ " qt_resource_name = b"\ \x00\x09\ \x0c\x78\x54\x88\ \x00\x6e\ \x00\x65\x00\x77\x00\x50\x00\x72\x00\x65\x00\x66\x00\x69\x00\x78\ \x00\x0a\ \x0a\xc8\x83\x1f\ \x00\x67\ \x00\x6f\x00\x6e\x00\x64\x00\x65\x00\x72\x00\x2e\x00\x69\x00\x63\x00\x6f\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x18\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x18\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x6e\xda\x88\xff\x59\ " qt_version = [int(v) for v in QtCore.qVersion().split('.')] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

47.357724

103

0.72721

1,329

5,825

3.158766

0.222724

0.13292

0.154359

0.148642

0.135779

0.120534

0

0.27106

0.036052

5,825

122

104

47.745902

0.476581

0.026094

0

0.075472

0

0.688679

0.000176

0

1

0

1

0.018868

false

0

0.009434

0

0.028302

0

null

0

1

0

1

0

1

0

null

1

0

4

08540bf2ac8cadc1cf3900bd14a8f79f2ba8831e

146

py

Python

week-02/appendA.py

norbertbodo91/pythonExercises

9cd773c5d6ce3280d19a84ef12b8fd478ff09613

[ "MIT" ]

null

week-02/appendA.py

norbertbodo91/pythonExercises

9cd773c5d6ce3280d19a84ef12b8fd478ff09613

[ "MIT" ]

null

week-02/appendA.py

norbertbodo91/pythonExercises

9cd773c5d6ce3280d19a84ef12b8fd478ff09613

[ "MIT" ]

null

def appendA(toAppend): newWord = toAppend + 'a' return newWord print(appendA(toAppend = raw_input("Enter a word to add an A letter: ")))

24.333333

73

0.684932

21

146

4.714286

0.714286

0.30303

0

0.19863

146

5

74

29.2

0.846154

0

0.232877

0

1

0.25

false

0

0.5

0.25

1

0

null

1

0

1

0

null

0

1

0

4

08597f4873dfad388e0eb75f921c519b7373d12a

180

py

Python

windscribe/__init__.py

Dayzpd/Python-Windscribe

eaaca7b39286434ec8588c967076f0b5b9961d91

[ "MIT" ]

9

2020-09-17T19:42:18.000Z

2022-01-04T07:14:37.000Z

windscribe/__init__.py

Dayzpd/Python-Windscribe

eaaca7b39286434ec8588c967076f0b5b9961d91

[ "MIT" ]

4

2020-10-28T16:22:54.000Z

2022-01-04T07:13:18.000Z

windscribe/__init__.py

Dayzpd/Python-Windscribe

eaaca7b39286434ec8588c967076f0b5b9961d91

[ "MIT" ]

4

2020-12-11T11:13:27.000Z

2022-01-16T02:40:55.000Z

__all__ = [ 'account', 'connect', 'locations', 'login', 'logout', ] from .windscribe import ( account, connect, locations, login, logout, )

12

25

0.527778

14

180

6.5

0.642857

0.307692

0.505495

0.615385

0.747253

0

0.327778

180

15

26

12

0.752066

0

0.187845

0

1

0

false

0

0.071429

0

0.071429

0

1

0

null

1

0

null

0

4

f286492200c20b0ffd878c540e355986ac87e759

265

py

Python

__init__.py

Lukas-Dresel/dice22_breach_binja

7b481b9209e56203b17d24f4a03e567765cf77d7

[ "MIT" ]

null

__init__.py

Lukas-Dresel/dice22_breach_binja

7b481b9209e56203b17d24f4a03e567765cf77d7

[ "MIT" ]

null

__init__.py

Lukas-Dresel/dice22_breach_binja

7b481b9209e56203b17d24f4a03e567765cf77d7

[ "MIT" ]

null

import binaryninja from .breach_arch import BreachArch BreachArch.register() from .breach_programview import BreachProgramView BreachProgramView.register() from .breach_calling_convention import BreachCallingConvention from .breach_platform import BreachPlatform

26.5

62

0.879245

27

265

8.444444

0.518519

0.175439

0.157895

0

0.083019

265

10

63

26.5

0.938272

0

1

0

true

0

0.714286

0

0.714286

0

1

0

null

0

null

0

1

0

1

0

1

0

4

f2957c2436185eaacb1c43fe2b6685f21c467731

188

py

Python

python/testData/inspections/PyStringFormatInspection/PackedRefInsideList.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyStringFormatInspection/PackedRefInsideList.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyStringFormatInspection/PackedRefInsideList.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

list = [3, 4] "{3}".format(*[1, 2, *list]) "{4}".format(*[1, 2, *list]) "{1}".format(*[1, 2, *list]) "{3}".format(*[*list, 1, 2]) "{4}".format(*[*list, 1, 2]) "{1}".format(*[*list, 1, 2])

23.5

28

0.446809

33

188

2.545455

0.181818

0.142857

0.285714

0.428571

0

0.120482

0.117021

188

8

29

23.5

0.385542

0

0.095238

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

4

f2a46d1dd481c7acb620b8393b2d3f64e291c4db

3,062

py

Python

externals/IBK/scripts/personaltypes.py

Arombolosh/PVTool

043f4c94b1f473e6e26b2ee0da8e6a064d9343c5

[ "BSD-3-Clause" ]

2

2020-06-03T08:22:25.000Z

2020-06-04T13:05:19.000Z

externals/IBK/scripts/personaltypes.py

Arombolosh/PVTool

043f4c94b1f473e6e26b2ee0da8e6a064d9343c5

[ "BSD-3-Clause" ]

null

externals/IBK/scripts/personaltypes.py

Arombolosh/PVTool

043f4c94b1f473e6e26b2ee0da8e6a064d9343c5

[ "BSD-3-Clause" ]

null

############################################################################ # # Copyright (C) 2014 Digia Plc and/or its subsidiary(-ies). # Contact: http://www.qt-project.org/legal # # This file is part of Qt Creator. # # Commercial License Usage # Licensees holding valid commercial Qt licenses may use this file in # accordance with the commercial license agreement provided with the # Software or, alternatively, in accordance with the terms contained in # a written agreement between you and Digia. For licensing terms and # conditions see http://www.qt.io/licensing. For further information # use the contact form at http://www.qt.io/contact-us. # # GNU Lesser General Public License Usage # Alternatively, this file may be used under the terms of the GNU Lesser # General Public License version 2.1 or version 3 as published by the Free # Software Foundation and appearing in the file LICENSE.LGPLv21 and # LICENSE.LGPLv3 included in the packaging of this file. Please review the # following information to ensure the GNU Lesser General Public License # requirements will be met: https://www.gnu.org/licenses/lgpl.html and # http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html. # # In addition, as a special exception, Digia gives you certain additional # rights. These rights are described in the Digia Qt LGPL Exception # version 1.1, included in the file LGPL_EXCEPTION.txt in this package. # ############################################################################# # This is a place to add your own dumpers for testing purposes. # Any contents here will be picked up by GDB and LLDB based # debugging in Qt Creator automatically. This code is not used # when debugging with CDB on Windows. # NOTE: This file will get overwritten when updating Qt Creator. # # To add dumpers that don't get overwritten, copy this file here # to a safe location outside the Qt Creator installation and # make this location known to Qt Creator using the Debugger / # GDB / Dumper customization / Additional file setting. # Example to display a simple type # template<typename U, typename V> struct MapNode # { # U key; # V data; # } # # def qdump__MapNode(d, value): # d.putValue("This is the value column contents") # d.putNumChild(2) # if d.isExpanded(): # with Children(d): # # Compact simple case. # d.putSubItem("key", value["key"]) # # Same effect, with more customization possibilities. # with SubItem(d, "data") # d.putItem("data", value["data"]) # Check http://qt-project.org/doc/qtcreator-3.2/creator-debugging-helpers.html # for more details or look at qttypes.py, stdtypes.py, boosttypes.py # for more complex examples. from dumper import * from stdtypes import * ######################## Your code below ####################### # copy this file over the corresponding file in qt designer installation def qdump__IBK__Path(d, value): qdump__std__string(d, value["m_path"]) def qdump__IBK__Unit(d, value): qdump__std__string(d, value["m_name"])

39.25641

78

0.68452

437

3,062

4.748284

0.455378

0.026988

0.013012

0.031807

0.070843

0.056867

0.026024

0

0.006714

0.173089

3,062

77

79

39.766234

0.812796

0.828217

0

0.045455

0

1

0.333333

false

0

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

4

4b385a13715b06d087f942d7458bcb33eb5bba5d

74

py

Python

src/wagtail_tag_manager/__init__.py

Tehnode/wagtail-tag-manager

048a03fe61b57ddd1eea0377ab26cf96527f5457

[ "BSD-3-Clause" ]

59

2018-06-13T07:30:42.000Z

2022-03-22T02:14:34.000Z

src/wagtail_tag_manager/__init__.py

Tehnode/wagtail-tag-manager

048a03fe61b57ddd1eea0377ab26cf96527f5457

[ "BSD-3-Clause" ]

74

2018-08-09T20:52:56.000Z

2022-03-02T08:39:30.000Z

src/wagtail_tag_manager/__init__.py

Tehnode/wagtail-tag-manager

048a03fe61b57ddd1eea0377ab26cf96527f5457

[ "BSD-3-Clause" ]

23

2018-10-10T05:29:38.000Z

2022-01-19T15:09:51.000Z

default_app_config = "wagtail_tag_manager.config.WagtailTagManagerConfig"

37

73

0.891892

8

74

7.75

0.875

0

0.040541

74

1

74

0.873239

0

0.675676

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

4b675eebc011dcbf30a99943e8204d368b2ed0b9

216

py

Python

backend/core/__init__.py

itimor/one-ops

f1111735de252012752dfabe11598e9690c89257

[ "MIT" ]

2

2020-09-25T05:52:55.000Z

2021-01-14T07:06:17.000Z

backend/core/__init__.py

itimor/one-ops

f1111735de252012752dfabe11598e9690c89257

[ "MIT" ]

6

2021-03-19T10:20:05.000Z

2021-09-22T19:30:21.000Z

backend/core/__init__.py

itimor/one-ops

f1111735de252012752dfabe11598e9690c89257

[ "MIT" ]

1

2022-02-24T01:37:06.000Z

from __future__ import absolute_import, unicode_literals # This will make sure the app is always imported when # Django starts so that shared_task will use this app. # import pymysql # # pymysql.install_as_MySQLdb()

30.857143

56

0.805556

33

216

5

0.818182

0

0.148148

216

6

57

36

0.896739

0.685185

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

4b6ab5ac671d440fac187ec117fb8831906a3c8f

39

tac

Python

semantics_and_generate/samples/link1.tac

AHEADer/my_decaf_compiler

42ba9f140c5fda3cd2b4fdb727745d2cfd39c923

[ "MIT" ]

1

2018-01-03T03:35:38.000Z

semantics_and_generate/samples/link1.tac

AHEADer/my_decaf_compiler

42ba9f140c5fda3cd2b4fdb727745d2cfd39c923

[ "MIT" ]

null

semantics_and_generate/samples/link1.tac

AHEADer/my_decaf_compiler

42ba9f140c5fda3cd2b4fdb727745d2cfd39c923

[ "MIT" ]

null

____notmain: BeginFunc 0 ; EndFunc ;

9.75

14

0.717949

4

39

6

1

0

0.032258

0.205128

39

3

15

13

0.741935

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

4b8d4301cde6fb6de24f8efb96ff5081761e33de

643

py

Python

Computer Science/Development/GUI/robo_controls.py

zbendt/ECE-Capstone-Project

1bafc61f896191ccd5a843980500fb4b8bbeb8bd

[ "MIT" ]

null

Computer Science/Development/GUI/robo_controls.py

zbendt/ECE-Capstone-Project

1bafc61f896191ccd5a843980500fb4b8bbeb8bd

[ "MIT" ]

null

Computer Science/Development/GUI/robo_controls.py

zbendt/ECE-Capstone-Project

1bafc61f896191ccd5a843980500fb4b8bbeb8bd

[ "MIT" ]

null

import time #Controls functions for the delta sleep_time = 0.5 def turn_on_vacuum(): print("Turning on vacuum pump") def pickup(): print("Picking up sample...") time.sleep(sleep_time) def drop(): print("Dropping sample...") time.sleep(sleep_time) def move_to_start(): print("Moving to Start...") time.sleep(sleep_time) def move_to_camera(): print("Moving to Camera...") time.sleep(sleep_time) def move_to_passed(): print("Moving to Pass Stack...") time.sleep(sleep_time) def move_to_failed(): print("Moving to Fail Stack...") time.sleep(sleep_time)

20.09375

37

0.634526

89

643

4.393258

0.370787

0.161125

0.214834

0.276215

0.432225

0.360614

0.276215

0

0.004032

0.228616

643

31

38

20.741935

0.784274

0.049767

0

0.272727

0

0.234426

0

1

0.318182

false

0.090909

0.045455

0

0.363636

0.318182

0

null

0

1

0

null

0

1

0

1

0

4

298cc1131b4fa0f1be5f4becb01286a44e8b0a9d

66

py

Python

report/create_db.py

Kellel/reports

975e99396301e87176a38dd440a273c9319b3e22

[ "BSD-3-Clause" ]

null

report/create_db.py

Kellel/reports

975e99396301e87176a38dd440a273c9319b3e22

[ "BSD-3-Clause" ]

null

report/create_db.py

Kellel/reports

975e99396301e87176a38dd440a273c9319b3e22

[ "BSD-3-Clause" ]

null

from models import Base, engine Base.metadata.create_all(engine)

16.5

32

0.818182

10

66

5.3

0.8

0

0.106061

66

3

33

22

0.898305

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

29c8162014a517194fd9f41815841a6c8677d84e

4,458

py

Python

src/genie/libs/parser/iosxe/tests/ShowIpInterfaceBrief/cli/equal/golden_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowIpInterfaceBrief/cli/equal/golden_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowIpInterfaceBrief/cli/equal/golden_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "interface": { "GigabitEthernet0/0/0": { "interface_is_ok": "YES", "ip_address": "10.105.44.23", "method": "other", "protocol": "up", "status": "up" }, "GigabitEthernet0/0/1": { "interface_is_ok": "YES", "ip_address": "10.174.10.1", "method": "other", "protocol": "up", "status": "up" }, "GigabitEthernet0/0/2": { "interface_is_ok": "YES", "ip_address": "10.64.10.1", "method": "other", "protocol": "up", "status": "up" }, "GigabitEthernet0/0/3": { "interface_is_ok": "YES", "ip_address": "10.186.10.1", "method": "other", "protocol": "up", "status": "up" }, "Loopback65528": { "interface_is_ok": "YES", "ip_address": "192.168.1.1", "method": "other", "protocol": "up", "status": "up" }, "NVI0": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "up", "status": "up" }, "Sdwan-system-intf": { "interface_is_ok": "YES", "ip_address": "192.168.10.64", "method": "unset", "protocol": "up", "status": "up" }, "TenGigabitEthernet0/0/4": { "interface_is_ok": "YES", "ip_address": "10.121.10.1", "method": "other", "protocol": "up", "status": "up" }, "TenGigabitEthernet0/0/5": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "down", "status": "down" }, "Tunnel1": { "interface_is_ok": "YES", "ip_address": "10.174.10.1", "method": "TFTP", "protocol": "up", "status": "up" }, "Tunnel2000000001": { "interface_is_ok": "YES", "ip_address": "192.168.2.1", "method": "unset", "protocol": "up", "status": "up" }, "Tunnel2000000002": { "interface_is_ok": "YES", "ip_address": "192.168.166.1", "method": "unset", "protocol": "up", "status": "up" }, "Tunnel3": { "interface_is_ok": "YES", "ip_address": "10.186.10.1", "method": "TFTP", "protocol": "up", "status": "up" }, "TwoGigabitEthernet0/1/0": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "up", "status": "up" }, "TwoGigabitEthernet0/2/0": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "up", "status": "up" }, "Ucse1/0/0": { "interface_is_ok": "YES", "ip_address": "10.19.14.1", "method": "other", "protocol": "down", "status": "administratively down" }, "Ucse1/0/1": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "down", "status": "administratively down" }, "VirtualPortGroup0": { "interface_is_ok": "YES", "ip_address": "192.0.2.1", "method": "other", "protocol": "up", "status": "up" }, "VirtualPortGroup1": { "interface_is_ok": "YES", "ip_address": "192.168.2.1", "method": "other", "protocol": "up", "status": "up" }, "VirtualPortGroup3": { "interface_is_ok": "YES", "ip_address": "192.168.3.1", "method": "other", "protocol": "up", "status": "up" }, "VirtualPortGroup4": { "interface_is_ok": "YES", "ip_address": "192.168.166.1", "method": "other", "protocol": "up", "status": "up" } } }

29.328947

45

0.394796

369

4,458

4.596206

0.146341

0.136203

0.160967

0.198113

0.858491

0.801887

0.761203

0.636792

0.462854

0.428656

0

0.075039

0.42306

4,458

151

46

29.523179

0.58437

0

0.635762

0

0.407582

0.020637

0

1

0

false

0

null

0

1

0

null

0

4

29d8926e28c855d35087d877a48866f5e57129f6

25

py

Python

env/lib/python2.7/site-packages/grpc/_grpcio_metadata.py

husky-parul/SheHacks

19383029947f50ebaf07232c9b2ee76c75d8ada6

[ "Apache-2.0" ]

2

2018-02-01T06:30:24.000Z

2018-04-12T15:39:56.000Z

env/lib/python2.7/site-packages/grpc/_grpcio_metadata.py

husky-parul/SheHacks

19383029947f50ebaf07232c9b2ee76c75d8ada6

[ "Apache-2.0" ]

null

env/lib/python2.7/site-packages/grpc/_grpcio_metadata.py

husky-parul/SheHacks

19383029947f50ebaf07232c9b2ee76c75d8ada6

[ "Apache-2.0" ]

null

__version__ = """1.8.4"""

25

0.56

4

25

2.5

1

0

0.130435

0.08

25

1

25

0.304348

0

0.192308

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

29e4187ad7c1dcf2ceaec9e4c64c93ba30148a08

88

py

Python

twitoff/__init__.py

boscolio/twitoff-ds19

46449f9a55619a74dafa32ebee733daca8d1602f

[ "MIT" ]

null

twitoff/__init__.py

boscolio/twitoff-ds19

46449f9a55619a74dafa32ebee733daca8d1602f

[ "MIT" ]

null

twitoff/__init__.py

boscolio/twitoff-ds19

46449f9a55619a74dafa32ebee733daca8d1602f

[ "MIT" ]

null

from .app import create_app # creates the app by calling the package APP = create_app()

22

40

0.772727

15

88

4.4

0.6

0.272727

0

0.170455

88

4

41

22

0.90411

0.431818

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

29e8e499563826ecb59fe97bb20177891dc4f78e

235

py

Python

my_env/lib/python3.8/site-packages/tests/strategies.py

David5627/AWWARD

a22a2b2f7d7d6377435bfd475e82268e4e907141

[ "MIT" ]

296

2015-09-07T16:04:01.000Z

2022-03-27T06:31:43.000Z

my_env/lib/python3.8/site-packages/tests/strategies.py

David5627/AWWARD

a22a2b2f7d7d6377435bfd475e82268e4e907141

[ "MIT" ]

189

2015-09-07T14:56:32.000Z

2022-01-31T09:17:22.000Z

my_env/lib/python3.8/site-packages/tests/strategies.py

David5627/AWWARD

a22a2b2f7d7d6377435bfd475e82268e4e907141

[ "MIT" ]

115

2015-09-17T08:36:36.000Z

2022-03-09T12:36:14.000Z

from __future__ import unicode_literals from hypothesis.strategies import integers from star_ratings import app_settings def scores(max_rating=app_settings.STAR_RATINGS_RANGE): return integers(min_value=0, max_value=max_rating)

26.111111

55

0.851064

34

235

5.470588

0.617647

0.11828

0

0.004739

0.102128

235

8

56

29.375

0.876777

0

1

0.2

false

0

0.6

0.2

1

0

null

0

1

0

null

0

1

0

4