xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

bf14ce2e4fb18cad227c9c5560c6adb24cf2a870

9,279

py

Python

uncertainty_baselines/models/resnet50.py

gmum/uncertainty-baselines

1118f7d9c084282e12eb0959dfe0ca12eb3d2388

[ "Apache-2.0" ]

2

2022-02-22T10:22:46.000Z

2022-03-09T09:22:41.000Z

uncertainty_baselines/models/resnet50.py

PGM-Lab/2022-AISTATS-diversity

63df2e5f29cdaefe49626439bbe13289f37eed36

[ "Apache-2.0" ]

null

uncertainty_baselines/models/resnet50.py

PGM-Lab/2022-AISTATS-diversity

63df2e5f29cdaefe49626439bbe13289f37eed36

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2020 The Uncertainty Baselines Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Lint as: python3 """ResNet50 Keras model for ImageNet.""" from typing import Any, Dict, Tuple import tensorflow as tf def _identity_block( input_tensor: tf.Tensor, kernel_size: int, filters: Tuple[int, int, int], stage: int, block: str, batch_norm_momentum: float, batch_norm_epsilon: float) -> tf.Tensor: """The identity block is the block that has no conv layer at shortcut. Args: input_tensor: input tensor kernel_size: default 3, the kernel size of middle conv layer at main path. filters: list of integers, the filters of 3 conv layer at main path. stage: integer, current stage label, used for generating layer names. block: 'a','b'..., current block label, used for generating layer names. batch_norm_momentum: the batch normalization EMA momentum. batch_norm_epsilon: the batch normalization epsilon. Returns: Output tensor for the block. """ filters1, filters2, filters3 = filters # TODO(znado): support NCHW data_format. bn_axis = 3 conv_name_base = 'res' + str(stage) + block + '_branch' bn_name_base = 'bn' + str(stage) + block + '_branch' x = tf.keras.layers.Conv2D( filters1, (1, 1), use_bias=False, kernel_initializer='he_normal', name=conv_name_base + '2a')(input_tensor) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '2a', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) x = tf.keras.layers.Activation('relu')(x) x = tf.keras.layers.Conv2D( filters2, kernel_size, use_bias=False, padding='same', kernel_initializer='he_normal', name=conv_name_base + '2b')(x) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '2b', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) x = tf.keras.layers.Activation('relu')(x) x = tf.keras.layers.Conv2D( filters3, (1, 1), use_bias=False, kernel_initializer='he_normal', name=conv_name_base + '2c')(x) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '2c', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) x = tf.keras.layers.add([x, input_tensor]) x = tf.keras.layers.Activation('relu')(x) return x def _conv_block( input_tensor: tf.Tensor, kernel_size: int, filters: Tuple[int, int, int], stage: int, block: str, strides: Tuple[int, int] = (2, 2), batch_norm_momentum: float = 0.9, batch_norm_epsilon: float = 1e-5) -> tf.Tensor: """A block that has a conv layer at shortcut. Note that from stage 3, the second conv layer at main path is with strides=(2, 2) and the shortcut should have strides=(2, 2) as well. Args: input_tensor: input tensor kernel_size: the kernel size of middle conv layer at main path filters: list of integers, the filters of 3 conv layer at main path stage: integer, current stage label, used for generating layer names block: 'a','b'..., current block label, used for generating layer names strides: Strides for the second conv layer in the block. batch_norm_momentum: the batch normalization EMA momentum. batch_norm_epsilon: the batch normalization epsilon. Returns: Output tensor for the block. """ filters1, filters2, filters3 = filters # TODO(znado): support NCHW data_format. bn_axis = 3 conv_name_base = 'res' + str(stage) + block + '_branch' bn_name_base = 'bn' + str(stage) + block + '_branch' x = tf.keras.layers.Conv2D( filters1, (1, 1), use_bias=False, kernel_initializer='he_normal', name=conv_name_base + '2a')(input_tensor) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '2a', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) x = tf.keras.layers.Activation('relu')(x) x = tf.keras.layers.Conv2D( filters2, kernel_size, strides=strides, padding='same', use_bias=False, kernel_initializer='he_normal', name=conv_name_base + '2b')(x) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '2b', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) x = tf.keras.layers.Activation('relu')(x) x = tf.keras.layers.Conv2D( filters3, (1, 1), use_bias=False, kernel_initializer='he_normal', name=conv_name_base + '2c')(x) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '2c', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) shortcut = tf.keras.layers.Conv2D( filters3, (1, 1), use_bias=False, strides=strides, kernel_initializer='he_normal', name=conv_name_base + '1')(input_tensor) shortcut = tf.keras.layers.BatchNormalization( axis=bn_axis, name=bn_name_base + '1', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(shortcut) x = tf.keras.layers.add([x, shortcut]) x = tf.keras.layers.Activation('relu')(x) return x def create_model( batch_size: int, batch_norm_momentum: float = 0.9, batch_norm_epsilon: float = 1e-5, **unused_kwargs: Dict[str, Any]) -> tf.keras.Model: """Instantiates the ResNet50 architecture. Args: batch_size: int value of the static per_replica batch size. batch_norm_momentum: the batch normalization EMA momentum. batch_norm_epsilon: the batch normalization epsilon. Returns: A Keras model instance that returns the logits for the model. """ # TODO(znado): support NCHW data format. bn_axis = 3 input_layer = tf.keras.layers.Input( shape=(224, 224, 3), batch_size=batch_size) x = tf.keras.layers.ZeroPadding2D( padding=(3, 3), name='conv1_pad')(input_layer) x = tf.keras.layers.Conv2D( 64, (7, 7), use_bias=False, strides=(2, 2), padding='valid', kernel_initializer='he_normal', name='conv1')(x) x = tf.keras.layers.BatchNormalization( axis=bn_axis, name='bn_conv1', momentum=batch_norm_momentum, epsilon=batch_norm_epsilon)(x) x = tf.keras.layers.Activation('relu')(x) x = tf.keras.layers.MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = _conv_block( x, kernel_size=3, filters=(64, 64, 256), stage=2, block='a', strides=(1, 1), batch_norm_momentum=batch_norm_momentum, batch_norm_epsilon=batch_norm_epsilon) x = _identity_block( x, 3, (64, 64, 256), 2, 'b', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (64, 64, 256), 2, 'c', batch_norm_momentum, batch_norm_epsilon) x = _conv_block( x, kernel_size=3, filters=(128, 128, 512), stage=3, block='a', batch_norm_momentum=batch_norm_momentum, batch_norm_epsilon=batch_norm_epsilon) x = _identity_block( x, 3, (128, 128, 512), 3, 'b', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (128, 128, 512), 3, 'c', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (128, 128, 512), 3, 'd', batch_norm_momentum, batch_norm_epsilon) x = _conv_block( x, kernel_size=3, filters=(256, 256, 1024), stage=4, block='a', batch_norm_momentum=batch_norm_momentum, batch_norm_epsilon=batch_norm_epsilon) x = _identity_block( x, 3, (256, 256, 1024), 4, 'b', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (256, 256, 1024), 4, 'c', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (256, 256, 1024), 4, 'd', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (256, 256, 1024), 4, 'e', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (256, 256, 1024), 4, 'f', batch_norm_momentum, batch_norm_epsilon) x = _conv_block( x, kernel_size=3, filters=(512, 512, 2048), stage=5, block='a', batch_norm_momentum=batch_norm_momentum, batch_norm_epsilon=batch_norm_epsilon) x = _identity_block( x, 3, (512, 512, 2048), 5, 'b', batch_norm_momentum, batch_norm_epsilon) x = _identity_block( x, 3, (512, 512, 2048), 5, 'c', batch_norm_momentum, batch_norm_epsilon) x = tf.keras.layers.GlobalAveragePooling2D(name='avg_pool')(x) x = tf.keras.layers.Dense( 1000, kernel_initializer=tf.keras.initializers.RandomNormal(stddev=0.01))(x) return tf.keras.Model(input_layer, x, name='resnet50')

31.886598

78

0.668283

1,322

9,279

4.478064

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172cc61c85cd36c5accddbd4ef6f43a2ab9c2d59

36

py

Python

multifunctional/handlers/equal_allocation.py

bsteubing/multifunctional

92c6e427374b151a8ea57c9be9e9245c717b9d46

[ "BSD-3-Clause" ]

1

2021-02-03T22:01:08.000Z

multifunctional/handlers/equal_allocation.py

bsteubing/multifunctional

92c6e427374b151a8ea57c9be9e9245c717b9d46

[ "BSD-3-Clause" ]

null

multifunctional/handlers/equal_allocation.py

bsteubing/multifunctional

92c6e427374b151a8ea57c9be9e9245c717b9d46

[ "BSD-3-Clause" ]

null

def equal_allocation(act): pass

12

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1744d10a0498cb486a350483ab7d84bdd7e4eea7

445

py

Python

src/HERMES_1-concept_map_generation.py

delavet/SOworkspace

74bbcfa62c7e293b2b02f23249ac408aa22b44af

[ "MIT" ]

6

2020-12-31T06:13:56.000Z

2022-03-27T16:26:12.000Z

src/HERMES_1-concept_map_generation.py

delavet/SOworkspace

74bbcfa62c7e293b2b02f23249ac408aa22b44af

[ "MIT" ]

null

src/HERMES_1-concept_map_generation.py

delavet/SOworkspace

74bbcfa62c7e293b2b02f23249ac408aa22b44af

[ "MIT" ]

null

from util.concept_map import apidoc_concept_map_generator import networkx as nx from util.config import * import os ''' generate concept map for javadoc ''' def generate_concept_map_for_javadoc(): concept_map = apidoc_concept_map_generator.generate_concept_map('javadoc') print('generate complete!') nx.write_gexf(concept_map, LATEST_CONCEPT_MAP_PATH['javadoc']) if __name__ == "__main__": generate_concept_map_for_javadoc()

24.722222

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0.196262

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null

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5

1745b03b4f4b2345becbbd451b022c50655e6dca

134

py

Python

shapenet/modeling/__init__.py

MAYURGAIKWAD/meshrcnn

b47ecd47ca7de7055b7d141e63ddab286c5245f3

[ "BSD-3-Clause" ]

1,028

2020-01-23T23:30:54.000Z

2022-03-27T22:33:50.000Z

shapenet/modeling/__init__.py

MAYURGAIKWAD/meshrcnn

b47ecd47ca7de7055b7d141e63ddab286c5245f3

[ "BSD-3-Clause" ]

103

2020-01-24T05:29:48.000Z

2022-03-08T13:04:24.000Z

shapenet/modeling/__init__.py

MAYURGAIKWAD/meshrcnn

b47ecd47ca7de7055b7d141e63ddab286c5245f3

[ "BSD-3-Clause" ]

179

2020-01-24T08:14:30.000Z

2022-03-19T00:34:05.000Z

33.5

70

0.798507

20

134

5.25

0.9

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0.141791

134

3

71

44.666667

0.913043

0.507463

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0

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1

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null

0

1

0

1

0

1

0

5

176622d3c9d2e541893e236e96aeb90c83b90904

468

py

Python

company/InfyTQ/Fundamentals/07SET/removeDuplicates.py

vikkastiwari/cpp-coding-questions

020790e1a3b26c7b24991427004730b3f0785c71

[ "MIT" ]

null

company/InfyTQ/Fundamentals/07SET/removeDuplicates.py

vikkastiwari/cpp-coding-questions

020790e1a3b26c7b24991427004730b3f0785c71

[ "MIT" ]

null

company/InfyTQ/Fundamentals/07SET/removeDuplicates.py

vikkastiwari/cpp-coding-questions

020790e1a3b26c7b24991427004730b3f0785c71

[ "MIT" ]

null

# def remove_duplicates(value): # # start writing your code here # distinct_val = [] # for i in set(value): # distinct_val.append(i) # return ("".join(distinct_val)) # print(remove_duplicates("11223445566666ababzzz@@@123#*#*")) from collections import OrderedDict def remove_duplicates(value): # start writing your code here return "".join(OrderedDict.fromkeys(value)) print(remove_duplicates("11223445566666ababzzz@@@123#*#*"))

23.4

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52

468

6.076923

0.5

0.202532

0.120253

0.151899

0.588608

0.303797

0

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0.17094

468

19

62

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1

0

1

0

1

0

5

17905202f34ac4c7129cc448e0325235c2111f93

184

py

Python

tests/end-to-end/test_visualization.py

yzR1991/Copulas

72c0d9c398f7fe3eb075b56591911fea377cdc33

[ "MIT" ]

235

2020-01-12T14:36:45.000Z

2022-03-26T16:53:44.000Z

tests/end-to-end/test_visualization.py

yzR1991/Copulas

72c0d9c398f7fe3eb075b56591911fea377cdc33

[ "MIT" ]

165

2020-01-09T16:28:25.000Z

2022-03-01T08:13:22.000Z

tests/end-to-end/test_visualization.py

yzR1991/Copulas

72c0d9c398f7fe3eb075b56591911fea377cdc33

[ "MIT" ]

60

2020-02-01T13:47:26.000Z

2022-03-15T06:18:24.000Z

from copulas.datasets import sample_trivariate_xyz from copulas.visualization import compare_3d def test_compare_3d(): data = sample_trivariate_xyz() compare_3d(data, data)

20.444444

50

0.798913

25

184

5.56

0.52

0.194245

0.273381

0

0.018987

0.141304

184

8

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null

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1

0

5

1792cd954d50eeb49fb74232bf49846d7e41b294

97

py

Python

PARTE_1/EX026/cores_terminal.py

0Fernando0/CursoPython

1dcfdb6556e41c6dedcba2857aa4382b2f81aa59

[ "MIT" ]

null

PARTE_1/EX026/cores_terminal.py

0Fernando0/CursoPython

1dcfdb6556e41c6dedcba2857aa4382b2f81aa59

[ "MIT" ]

null

PARTE_1/EX026/cores_terminal.py

0Fernando0/CursoPython

1dcfdb6556e41c6dedcba2857aa4382b2f81aa59

[ "MIT" ]

null

print('\033[4;34molá, mundo!\033[m') a = 7 print(f'o número \033[31m{a}\033[m e sinal de sorte!')

32.333333

54

0.649485

22

97

2.863636

0.727273

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0.209302

0.113402

97

3

54

32.333333

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1

0

1

0

null

0

1

0

5

17963930d50b768c34f3ce27c2817063d85a550e

65

py

Python

daft_builder/__init__.py

macks22/daft-builder

54e946d07ba730d29373d4448a5278569248d87e

[ "MIT" ]

1

2019-12-06T09:53:26.000Z

daft_builder/__init__.py

macks22/daft-builder

54e946d07ba730d29373d4448a5278569248d87e

[ "MIT" ]

3

2019-08-02T11:48:05.000Z

2019-08-08T19:11:32.000Z

daft_builder/__init__.py

macks22/daft-builder

54e946d07ba730d29373d4448a5278569248d87e

[ "MIT" ]

null

from .pgm import PGM, Plate, Node, Data, Param, HyperParam, Text

32.5

64

0.738462

10

65

4.8

0.9

0

0.153846

65

1

65

0.872727

0

1

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true

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1

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null

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null

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1

0

1

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1

0

5

17a47cce1a66fd5ce59bc2e3d3c36a91c9631a68

102

py

Python

leetcode/python/551_student_attendance_record_i.py

VVKot/leetcode-solutions

7d6e599b223d89a7861929190be715d3b3604fa4

[ "MIT" ]

4

2019-04-22T11:57:36.000Z

2019-10-29T09:12:56.000Z

leetcode/python/551_student_attendance_record_i.py

VVKot/coding-competitions

7d6e599b223d89a7861929190be715d3b3604fa4

[ "MIT" ]

null

leetcode/python/551_student_attendance_record_i.py

VVKot/coding-competitions

7d6e599b223d89a7861929190be715d3b3604fa4

[ "MIT" ]

null

import re class Solution: def checkRecord(self, s): return not re.search('A.*A|LLL', s)

14.571429

43

0.617647

16

102

3.9375

0.8125

0

0.245098

102

6

44

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false

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null

0

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0

1

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5

bd96144237e6fa420de87dbc865db3e4318200d5

1,627

py

Python

tests/unit/test_puton.py

GzuPark/put_sunglasses_on_your_face

4d3eb85ca82b83bf80129f37a0170fce92b5c322

[ "MIT" ]

7

2020-01-10T09:53:29.000Z

2022-03-25T05:56:12.000Z

tests/unit/test_puton.py

GzuPark/put_sunglasses_on_your_face

4d3eb85ca82b83bf80129f37a0170fce92b5c322

[ "MIT" ]

3

2019-09-05T06:33:27.000Z

2019-09-06T04:17:01.000Z

tests/unit/test_puton.py

GzuPark/put_sunglasses_on_your_face

4d3eb85ca82b83bf80129f37a0170fce92b5c322

[ "MIT" ]

3

2020-01-10T14:08:11.000Z

2021-11-29T19:03:08.000Z

import os from main import PutOn def test_puton_saved_images(get_args): args = get_args puton = PutOn(args) puton.images() realpath = os.path.dirname(os.path.realpath(__file__)) src_path = os.path.abspath(os.path.join(realpath, "..", "..", "results")) dst_path = os.path.abspath(os.path.join(realpath, "..", "data")) sources = [] sources.append(os.path.join(src_path, "landmarks_center.jpg")) sources.append(os.path.join(src_path, "puton_center.jpg")) targets = [] targets.append(os.path.join(dst_path, "landmarks_center.jpg")) targets.append(os.path.join(dst_path, "puton_center.jpg")) for src, tar in zip(sources, targets): with open(src, "rb") as img: src_img = img.read() with open(tar, "rb") as img: tar_img = img.read() assert src_img == tar_img def test_puton_saved_quaternion_images(get_args): args = get_args args.landmarks = False args.quaternion = True puton = PutOn(args) puton.images() realpath = os.path.dirname(os.path.realpath(__file__)) src_path = os.path.abspath(os.path.join(realpath, "..", "..", "results")) dst_path = os.path.abspath(os.path.join(realpath, "..", "data")) sources = [] sources.append(os.path.join(src_path, "puton_soft_right.jpg")) targets = [] targets.append(os.path.join(dst_path, "puton_soft_right.jpg")) for src, tar in zip(sources, targets): with open(src, "rb") as img: src_img = img.read() with open(tar, "rb") as img: tar_img = img.read() assert src_img == tar_img

28.051724

77

0.629379

229

1,627

4.275109

0.187773

0.110317

0.102145

0.098059

0.841675

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0.692543

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0.215734

1,627

57

78

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null

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5

bd9efed202ab1cdf57a9e99cb4e094ef6f38d0c0

70

py

Python

venv/Lib/site-packages/attrs/exceptions.py

gilbertekalea/booking.com_crawler

71e52c87cd72a77f80a3e5fc0af0e1a68a5712ae

[ "MIT" ]

16

2020-03-13T15:54:20.000Z

2020-06-04T08:10:03.000Z

venv/Lib/site-packages/attrs/exceptions.py

gilbertekalea/booking.com_crawler

71e52c87cd72a77f80a3e5fc0af0e1a68a5712ae

[ "MIT" ]

112

2021-09-27T14:39:02.000Z

2022-03-30T14:26:35.000Z

venv/Lib/site-packages/attrs/exceptions.py

gilbertekalea/booking.com_crawler

71e52c87cd72a77f80a3e5fc0af0e1a68a5712ae

[ "MIT" ]

15

2020-03-22T23:00:38.000Z

2020-06-11T17:01:33.000Z

# SPDX-License-Identifier: MIT from attr.exceptions import * # noqa

17.5

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3

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null

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1

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1

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1

0

5

da3f9bc806e5431d9d71619859a78e79d7c4f698

164

py

Python

Codes/madlibgame.py

JojiJohnson/Python-Basics

0107cbf3b85cd73c57fa6474a5febb91cdae216c

[ "MIT" ]

null

Codes/madlibgame.py

JojiJohnson/Python-Basics

0107cbf3b85cd73c57fa6474a5febb91cdae216c

[ "MIT" ]

null

Codes/madlibgame.py

JojiJohnson/Python-Basics

0107cbf3b85cd73c57fa6474a5febb91cdae216c

[ "MIT" ]

null

name = input ("Enter your name: ") prof = input ("Enter your Profession: ") print ("God bless you " + name + ".") print ("You will be a great " + prof + "!")

27.333333

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164

4.272727

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0.243902

164

5

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null

1

0

1

0

null

0

1

0

5

da4ec629288a7004e99e5234f7a71c8014a5ab0e

57

py

Python

jcfg/__init__.py

chkap/jcfg

4577e7aa87f45408ed14375f415d68ef3a05bc66

[ "MIT" ]

1

2020-04-04T07:35:44.000Z

jcfg/__init__.py

chkap/jcfg

4577e7aa87f45408ed14375f415d68ef3a05bc66

[ "MIT" ]

null

jcfg/__init__.py

chkap/jcfg

4577e7aa87f45408ed14375f415d68ef3a05bc66

[ "MIT" ]

null

from .json_config import JsonCfg from .error import *

9.5

32

0.754386

8

57

5.25

0.75

0

0.192982

57

5

33

11.4

0.913043

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e5111ae3c2929e02e98d8c6dedfe9e79fa8a5b72

69

py

Python

src/python/run.py

jakkaj/SSHFS_CheatSheet

a9d3a8eb8b03e86d4b275649c41fc7534f2ac810

[ "MIT" ]

null

src/python/run.py

jakkaj/SSHFS_CheatSheet

a9d3a8eb8b03e86d4b275649c41fc7534f2ac810

[ "MIT" ]

null

src/python/run.py

jakkaj/SSHFS_CheatSheet

a9d3a8eb8b03e86d4b275649c41fc7534f2ac810

[ "MIT" ]

null

#!/usr/bin/python3 import cv2 print (cv2.__version__) print ("Hello")

17.25

23

0.73913

10

69

4.7

0.8

0

0.047619

0.086957

69

4

24

17.25

0.698413

0.246377

0

0.096154

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1

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true

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0.333333

0

0.333333

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e55d6b660f96d3eafefc34e847bb8b2717f680b7

65

py

Python

pmanagement/projects/models/__init__.py

Ferald89/projectmanagemen

88d96f2f59daca0029b69a60e69c0118dacc30ea

[ "MIT" ]

null

pmanagement/projects/models/__init__.py

Ferald89/projectmanagemen

88d96f2f59daca0029b69a60e69c0118dacc30ea

[ "MIT" ]

2

2020-06-15T17:13:04.000Z

2020-06-15T17:13:05.000Z

pmanagement/projects/models/__init__.py

Ferald89/projectmanagemen

88d96f2f59daca0029b69a60e69c0118dacc30ea

[ "MIT" ]

null

from .projects import Project from .memberships import Membership

32.5

35

0.861538

8

65

7

0.75

0

0.107692

65

2

35

32.5

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e565a3426a37d3d174f41c41c4d17591e6a614a0

89

py

Python

nrgmodbus/spidar/__init__.py

nrgpy/nrgmodbus

8932c527c30113933bba71c2f0f99e81966865ad

[ "MIT" ]

null

nrgmodbus/spidar/__init__.py

nrgpy/nrgmodbus

8932c527c30113933bba71c2f0f99e81966865ad

[ "MIT" ]

null

nrgmodbus/spidar/__init__.py

nrgpy/nrgmodbus

8932c527c30113933bba71c2f0f99e81966865ad

[ "MIT" ]

null

__name__ = "spidar" from .spidar import spidar_v1 from .registers import spidar_registers

29.666667

39

0.831461

12

89

5.666667

0.5

0.352941

0

0.012658

0.11236

89

3

39

29.666667

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0.066667

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1

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false

0

0.666667

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0.666667

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null

1

0

1

0

null

0

1

0

1

0

5

e5d8429cf773f4622496b9d46057f2adb32f167d

2,014

py

Python

tests/test_vector3d_class.py

furushei/vector3d-python

72d007da2bd3d4300232479d4ad2f5371278d357

[ "Unlicense" ]

null

tests/test_vector3d_class.py

furushei/vector3d-python

72d007da2bd3d4300232479d4ad2f5371278d357

[ "Unlicense" ]

null

tests/test_vector3d_class.py

furushei/vector3d-python

72d007da2bd3d4300232479d4ad2f5371278d357

[ "Unlicense" ]

null

import unittest from vector3d import Vector3D import math class TestVector3DClass(unittest.TestCase): def test_add(self): self.assertEqual(Vector3D(1, 2, 3) + Vector3D(4, 5, 6), Vector3D(5, 7, 9)) def test_sub(self): self.assertEqual(Vector3D(1, 2, 3) - Vector3D(4, 5, 6), Vector3D(-3, -3, -3)) def test_mul(self): self.assertEqual(Vector3D(1, 2, 3) * 1, Vector3D(1, 2, 3)) self.assertEqual(Vector3D(1, 2, 3) * 1.5, Vector3D(1.5, 3.0, 4.5)) def test_rmul(self): self.assertEqual(1 * Vector3D(1, 2, 3), Vector3D(1, 2, 3)) self.assertEqual(1.5 * Vector3D(1, 2, 3), Vector3D(1.5, 3.0, 4.5)) def test_mul_and_rmul(self): self.assertEqual(2 * Vector3D(1, 2, 3) * 3, Vector3D(6, 12, 18)) def test_truediv(self): self.assertEqual(Vector3D(1, 2, 3) / 2, Vector3D(0.5, 1.0, 1.5)) def test_floordiv(self): self.assertEqual(Vector3D(1, 2, 3) // 2, Vector3D(0, 1, 1)) def test_eq(self): self.assertTrue(Vector3D(1, 2, 3) == Vector3D(1, 2, 3)) self.assertFalse(Vector3D(1, 2, 3) == Vector3D(1, 2, 0)) self.assertFalse(Vector3D(1, 2, 3) == Vector3D(1, 0, 3)) self.assertFalse(Vector3D(1, 2, 3) == Vector3D(0, 2, 3)) def test_ne(self): self.assertTrue(Vector3D(1, 2, 3) != Vector3D(1, 2, 0)) self.assertTrue(Vector3D(1, 2, 3) != Vector3D(1, 0, 3)) self.assertTrue(Vector3D(1, 2, 3) != Vector3D(0, 2, 3)) self.assertFalse(Vector3D(1, 2, 3) != Vector3D(1, 2, 3)) def test_abs(self): self.assertAlmostEqual(abs(Vector3D(1, 2, 3)), 3.7416573867739413) self.assertEqual(abs(Vector3D(3, 4, 0)), 5) test_cases = [ (-4.5, 4, 3), (math.pi, math.e, -1), ] for x, y, z in test_cases: actual = abs(Vector3D(x, y, z)) excepted = math.sqrt(x * x + y * y + z * z) self.assertAlmostEqual(actual, excepted) if __name__ == '__main__': unittest.main()

33.566667

85

0.573982

310

2,014

3.658065

0.164516

0.222222

0.21164

0.213404

0.583774

0.561728

0.532628

0.472663

0.406526

0.291887

0

0.13289

0.252731

2,014

59

86

34.135593

0.620598

0

0.003974

0

0.465116

1

0.232558

false

0

0.069767

0

0.325581

0

null

1

0

null

0

1

0

1

0

5

e5f35b351c2ff79b4938b8198249e87c8ce82455

512

py

Python

password/db/database.py

cedricfarinazzo/password

a9dd52383519438cc38baf4653beeec8f9e45a2c

[ "MIT" ]

null

password/db/database.py

cedricfarinazzo/password

a9dd52383519438cc38baf4653beeec8f9e45a2c

[ "MIT" ]

null

password/db/database.py

cedricfarinazzo/password

a9dd52383519438cc38baf4653beeec8f9e45a2c

[ "MIT" ]

null

from .config import Config from .entry import Entry class Database: def __init__(self, conf): self.conf = conf self.__data = [] def register(self, account, master_key): pass def retrieve(self, account_id, master_key): pass def delete(self, account_id, master_key): pass def update(self, account_id, data, master_key): pass def list(self): pass def load(self, master_key): pass def save(self): pass

16.516129

51

0.59375

65

512

4.461538

0.353846

0.144828

0.224138

0.275862

0.2

0

0.320313

512

30

52

17.066667

0.833333

0

0.35

0

1

0.4

false

0.35

0.1

0

0.55

0

null

0

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0

null

0

1

0

1

0

1

0

5

f92641c0a44bd6d7004c4cd5280a05da731cae94

7,677

py

Python

cogs/images.py

Nirlep5252/SynTech

955cf600800f0cf0f03e6b1932ac2923d6beb2bf

[ "MIT" ]

2

2021-12-12T03:17:10.000Z

2022-03-28T08:04:07.000Z

cogs/images.py

Nirlep5252/SynTech

955cf600800f0cf0f03e6b1932ac2923d6beb2bf

[ "MIT" ]

null

cogs/images.py

Nirlep5252/SynTech

955cf600800f0cf0f03e6b1932ac2923d6beb2bf

[ "MIT" ]

null

import logging import discord from discord.ext import commands from config import MAIN_COLOR import aiohttp import io class images(commands.Cog, description="This is where you can get images"): def __init__(self, bot): self.bot = bot @commands.Cog.listener() async def on_ready(self): logging.info('Images is ready') @commands.command() async def horny(self, ctx, member: discord.Member = None): member = member or ctx.author await ctx.trigger_typing() async with aiohttp.ClientSession() as session: async with session.get(f'https://some-random-api.ml/canvas/horny?avatar={member.avatar.replace(format="png")}') as af: if 300 > af.status >= 200: fp = io.BytesIO(await af.read()) file = discord.File(fp, "horny.png") em = discord.Embed( title="bonk", color=MAIN_COLOR, ) em.set_image(url="attachment://horny.png") await ctx.send(embed=em, file=file) else: await ctx.send('No horny :(') await session.close() @commands.command() async def gay(self, ctx, member: discord.Member = None): member = member or ctx.author await ctx.trigger_typing() async with aiohttp.ClientSession() as session: async with session.get(f'https://some-random-api.ml/canvas/gay?avatar={member.avatar.replace(format="png")}') as af: if 300 > af.status >= 200: fp = io.BytesIO(await af.read()) file = discord.File(fp, "gay.png") em = discord.Embed( title="He has came out", color=MAIN_COLOR, ) em.set_image(url="attachment://gay.png") await ctx.send(embed=em, file=file) else: await ctx.send('No gay :(') await session.close() @commands.command() async def jail(self, ctx, member: discord.Member = None): member = member or ctx.author await ctx.trigger_typing() async with aiohttp.ClientSession() as session: async with session.get(f'https://some-random-api.ml/canvas/jail?avatar={member.avatar.replace(format="png")}') as af: if 300 > af.status >= 200: fp = io.BytesIO(await af.read()) file = discord.File(fp, "jail.png") em = discord.Embed( title="He be in jail", color=MAIN_COLOR, ) em.set_image(url="attachment://jail.png") await ctx.send(embed=em, file=file) else: await ctx.send('No jial :(') await session.close() @commands.command() async def gun(self, ctx, member: discord.Member = None): member = member or ctx.author await ctx.trigger_typing() async with aiohttp.ClientSession() as session: async with session.get(f'https://api.monkedev.com/canvas/gun?imgUrl={member.avatar.replace(format="png")}') as af: if 300 > af.status >= 200: fp = io.BytesIO(await af.read()) file = discord.File(fp, "gun.png") em = discord.Embed( title="Get down he has a gun", color=MAIN_COLOR, ) em.set_image(url="attachment://gun.png") await ctx.send(embed=em, file=file) else: await ctx.send('No gun :(') await session.close() @commands.command() async def comment(self, ctx, *, text=None): if text is None: await ctx.send("You need to add text to this") else: async with aiohttp.ClientSession() as session: async with session.get(f'https://some-random-api.ml/canvas/youtube-comment?avatar={ctx.author.avatar.url}&username={ctx.author.name}&comment={text}') as af: if 300 > af.status >= 200: fp = io.BytesIO(await af.read()) file = discord.File(fp, "comment.png") em = discord.Embed( title="Comment", color=MAIN_COLOR, ) em.set_image(url="attachment://comment.png") await ctx.send(embed=em, file=file) @commands.command() async def message(self, ctx, member: discord.Member = None, *, text=None): member = member or ctx.author if text is None: await ctx.send("You need to add text to this") else: async with aiohttp.ClientSession() as session: async with session.get(f'https://api.monkedev.com/canvas/fakequote?imgUrl={member.avatar.url}&text={text}&username={member.name}') as af: if 300 > af.status >= 200: fp = io.BytesIO(await af.read()) file = discord.File(fp, "comment.png") em = discord.Embed( title="Comment", color=MAIN_COLOR, ) em.set_image(url="attachment://comment.png") await ctx.send(embed=em, file=file) @commands.command(aliases=['av']) async def avatar(self, ctx, member: discord.Member = None): member = member or ctx.author embed = discord.Embed(title=f"Avatar of {member.name}", color=MAIN_COLOR) embed.set_image(url=member.avatar.url) await ctx.send(embed=embed) @commands.command() async def pikachu(self, ctx): async with aiohttp.ClientSession() as session: request = await session.get('https://some-random-api.ml/img/pikachu') json = await request.json() embed = discord.Embed(title="Pika Pika!", color=MAIN_COLOR) embed.set_image(url=json['link']) await ctx.send(embed=embed) @commands.command() async def dog(self, ctx): async with aiohttp.ClientSession() as session: request = await session.get('https://some-random-api.ml/img/dog') json = await request.json() embed = discord.Embed(title="Woof Woof!", color=MAIN_COLOR) embed.set_image(url=json['link']) await ctx.send(embed=embed) @commands.command() async def cat(self, ctx): async with aiohttp.ClientSession() as session: request = await session.get('https://some-random-api.ml/img/cat') json = await request.json() embed = discord.Embed(title="Meow!", color=MAIN_COLOR) embed.set_image(url=json['link']) await ctx.send(embed=embed) @commands.command() async def panda(self, ctx): async with aiohttp.ClientSession() as session: request = await session.get('https://some-random-api.ml/img/panda') json = await request.json() embed = discord.Embed(title="Panda!", color=MAIN_COLOR) embed.set_image(url=json['link']) await ctx.send(embed=embed) def setup(bot): bot.add_cog(images(bot=bot))

43.619318

173

0.521688

872

7,677

4.555046

0.133028

0.042296

0.05136

0.04708

0.817221

0.806143

0.779708

0.731873

0.652316

0.640987

0

0.007338

0.360948

7,677

175

174

43.868571

0.802283

0

0.592357

0

0.038217

0.154759

0.01213

0

1

0.012739

false

0

0.038217

0

0.057325

0

null

0

1

0

1

0

null

0

5

0060e7e1b4a20eb5fb0f956634689508e774c769

105

py

Python

test.py

imurchie/python_extension

5284e6f82a496410287012ac21d00b0c27a2bb2d

[ "Apache-2.0" ]

1

2020-05-02T00:13:12.000Z

test.py

imurchie/python_extension

5284e6f82a496410287012ac21d00b0c27a2bb2d

[ "Apache-2.0" ]

null

test.py

imurchie/python_extension

5284e6f82a496410287012ac21d00b0c27a2bb2d

[ "Apache-2.0" ]

null

import spam p1 = spam.Point(2, 3) p2 = spam.Point(4, 5) print p1 print p2 print spam.distance(p1, p2)

10.5

27

0.67619

21

105

3.380952

0.52381

0.253521

0

0.117647

0.190476

105

9

28

11.666667

0.717647

0

null

0

0.166667

null

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

5

0075cc799c503af5517806a811527936193f25cc

335

py

Python

book/tlpi_zhiye/utlib/ut_util.py

deevarvar/myLab

7a5019f5f7fc11e173d350e6e2a7d2c80504782d

[ "MIT" ]

null

book/tlpi_zhiye/utlib/ut_util.py

deevarvar/myLab

7a5019f5f7fc11e173d350e6e2a7d2c80504782d

[ "MIT" ]

null

book/tlpi_zhiye/utlib/ut_util.py

deevarvar/myLab

7a5019f5f7fc11e173d350e6e2a7d2c80504782d

[ "MIT" ]

3

2016-10-08T15:01:49.000Z

2018-05-24T03:14:24.000Z

__author__ = 'deevarvar' import string import random import os #generate a random string def string_generator(size=6, chars=string.ascii_letters+string.digits): return ''.join(random.choice(chars) for _ in range(size)) #emulate touch cmd def touchFile(fname, time=None): with open(fname, 'a'): os.utime(fname,time)

20.9375

71

0.728358

48

335

4.9375

0.666667

0.075949

0

0.003534

0.155224

335

15

72

22.333333

0.833922

0.122388

0

1

0

0.034247

0

1

0.222222

false

0

0.333333

0.111111

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

00c23b88bd1163522f9c14e781734fce25e720b2

225

py

Python

tests/cache/test_memory_backend.py

SandySalvatore/dogpile_cache_release

863b35becbf741bba89ddbf2700b7667298bf3d3

[ "BSD-3-Clause" ]

null

tests/cache/test_memory_backend.py

SandySalvatore/dogpile_cache_release

863b35becbf741bba89ddbf2700b7667298bf3d3

[ "BSD-3-Clause" ]

null

tests/cache/test_memory_backend.py

SandySalvatore/dogpile_cache_release

863b35becbf741bba89ddbf2700b7667298bf3d3

[ "BSD-3-Clause" ]

null

from ._fixtures import _GenericBackendTest class MemoryBackendTest(_GenericBackendTest): backend = "dogpile.cache.memory" class MemoryPickleBackendTest(_GenericBackendTest): backend = "dogpile.cache.memory_pickle"

25

51

0.813333

19

225

9.368421

0.631579

0.280899

0.359551

0.41573

0.483146

0

0.111111

225

8

52

28.125

0.89

0

0.208889

0.12

0

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0

false

0

0.2

0

1

0

1

0

null

1

0

1

0

null

0

5

daab7dc81582642a67941023cf754d96752bbc19

484

py

Python

pystratis/core/tests/test_extpubkey.py

TjadenFroyda/pyStratis

9cc7620d7506637f8a2b84003d931eceb36ac5f2

[ "MIT" ]

8

2021-06-30T20:44:22.000Z

2021-12-07T14:42:22.000Z

pystratis/core/tests/test_extpubkey.py

TjadenFroyda/pyStratis

9cc7620d7506637f8a2b84003d931eceb36ac5f2

[ "MIT" ]

2

2021-07-01T11:50:18.000Z

2022-01-25T18:39:49.000Z

pystratis/core/tests/test_extpubkey.py

TjadenFroyda/pyStratis

9cc7620d7506637f8a2b84003d931eceb36ac5f2

[ "MIT" ]

4

2021-07-01T04:36:42.000Z

2021-09-17T10:54:19.000Z

from pystratis.core import ExtPubKey def test_extpubkey(generate_extpubkey): extpubkey = ExtPubKey(generate_extpubkey) assert str(extpubkey) == generate_extpubkey def test_bad_extpubkey_raises_error(generate_extpubkey): extpubkey = generate_extpubkey # Change part of the key so that it fails the checksum extpubkey = extpubkey[:10] + 'abcd' + extpubkey[14:] assert len(extpubkey) == len(generate_extpubkey) assert str(extpubkey) != generate_extpubkey

32.266667

58

0.764463

58

484

6.172414

0.465517

0.332402

0.363128

0.195531

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0.009828

0.159091

484

14

59

34.571429

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0.107438

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0.111111

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0

null

0

1

0

5

dabd7479210d76b2d359d5f228ca53204fff3e4f

327

py

Python

modules/hashing/sha.py

Zami3l/cryptotools

8ed16f32ad528ed1826efffe61522d591e5e5941

[ "MIT" ]

null

modules/hashing/sha.py

Zami3l/cryptotools

8ed16f32ad528ed1826efffe61522d591e5e5941

[ "MIT" ]

null

modules/hashing/sha.py

Zami3l/cryptotools

8ed16f32ad528ed1826efffe61522d591e5e5941

[ "MIT" ]

null

#!/usr/bin/python3 # coding : utf-8 import hashlib def sha1(plainText): return hashlib.sha1(plainText).hexdigest().encode('utf8') def sha256(plainText): return hashlib.sha256(plainText).hexdigest().encode('utf8') def sha512(plainText): return hashlib.sha512(plainText).hexdigest().encode('utf8')

19.235294

63

0.69419

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327

5.973684

0.447368

0.198238

0.290749

0.370044

0.273128

0

0.068592

0.152905

327

16

64

20.4375

0.750903

0.097859

0

0.040956

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0.428571

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0

0.142857

0.428571

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0

null

0

1

0

null

0

1

0

1

0

5

daccfd9582abdccbd7aabd7be19b5ea05a78a6f7

24

py

Python

Python/DrChuck/Introduction/py003.py

paddygit/hands-on

170a415aa03b22e18aa2e1b4dacdd091a7765867

[ "MIT" ]

null

Python/DrChuck/Introduction/py003.py

paddygit/hands-on

170a415aa03b22e18aa2e1b4dacdd091a7765867

[ "MIT" ]

null

Python/DrChuck/Introduction/py003.py

paddygit/hands-on

170a415aa03b22e18aa2e1b4dacdd091a7765867

[ "MIT" ]

1

2020-05-17T06:53:38.000Z

x = 2 x = x+2 print(x)

4.8

8

0.458333

7

24

1.571429

0.428571

0.363636

0

0.125

0.333333

24

4

9

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0.5625

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null

1

0

1

0

null

0

5

970817da5ddb1e99adb4f0cbe3d83bb7cf66c1fb

74

py

Python

py_tdlib/constructors/get_authorization_state.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/get_authorization_state.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/get_authorization_state.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Method class getAuthorizationState(Method): pass

12.333333

36

0.797297

8

74

7.375

0.875

0

0.135135

74

5

37

14.8

0.921875

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

9730397cd176e3d9b0269e4f81198e757dceef13

144

py

Python

models/__init__.py

2KangHo/PyTorch-ImageClassification-TestBench

f8a974a30374879951a93840cba6caacc11430fd

[ "MIT" ]

1

2020-02-12T05:10:15.000Z

models/__init__.py

2KangHo/PyTorch-ImageClassification-TestBench

f8a974a30374879951a93840cba6caacc11430fd

[ "MIT" ]

null

models/__init__.py

2KangHo/PyTorch-ImageClassification-TestBench

f8a974a30374879951a93840cba6caacc11430fd

[ "MIT" ]

null

from .mobilenet import mobilenet from .mobilenetv2 import mobilenetv2 from .shufflenet import shufflenet from .shufflenetv2 import shufflenetv2

28.8

38

0.861111

16

144

7.75

0.375

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0.03125

0.111111

144

4

39

36

0.9375

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1

0

true

0

1

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1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

977bbaeeb40b251b25fea35fac410cd996e7250c

165

py

Python

test.py

nielsmadan/venom

87dee312fe8dbaa64fe29fba7a2ccd5f41a55b4a

[ "0BSD" ]

1

2022-01-26T04:57:28.000Z

test.py

nielsmadan/venom

87dee312fe8dbaa64fe29fba7a2ccd5f41a55b4a

[ "0BSD" ]

null

test.py

nielsmadan/venom

87dee312fe8dbaa64fe29fba7a2ccd5f41a55b4a

[ "0BSD" ]

1

2021-08-19T08:11:58.000Z

import sys import os import nose sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), "autoload")) nose.main(argv=sys.argv + ["-w", "./test"])

20.625

85

0.70303

27

165

4.148148

0.555556

0.160714

0

0.084848

165

7

86

23.571429

0.741722

0

0.09697

0

1

0

true

0

0.6

0

0.6

0

1

0

null

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0

null

0

1

0

1

0

1

0

5

97ca566e9b7dbff573501fd4ff2e5a5130bfb5ba

170

py

Python

App/apis.py

kogwang/Emails

6e54f2e03c107611fec986a672b47001086e1c7d

[ "Apache-2.0" ]

null

App/apis.py

kogwang/Emails

6e54f2e03c107611fec986a672b47001086e1c7d

[ "Apache-2.0" ]

null

App/apis.py

kogwang/Emails

6e54f2e03c107611fec986a672b47001086e1c7d

[ "Apache-2.0" ]

null

from flask_restful import Resource # 例： class Cat(Resource): def get(self): return {'message':'get'} def put(self): return {'message':'put'}

13.076923

34

0.588235

21

170

4.714286

0.666667

0.20202

0.343434

0

0.264706

170

12

35

14.166667

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0

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false

0

0.166667

0.333333

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0

1

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null

1

0

null

0

1

0

1

0

5

8af579a8b162dbc1a1011dd5abb9f1ba1af38b93

1,391

py

Python

maggport/exports.py

ccavales3/maggport

a68e27f7c2beea06bd8209146f342d06ae3a4893

[ "MIT" ]

null

maggport/exports.py

ccavales3/maggport

a68e27f7c2beea06bd8209146f342d06ae3a4893

[ "MIT" ]

null

maggport/exports.py

ccavales3/maggport

a68e27f7c2beea06bd8209146f342d06ae3a4893

[ "MIT" ]

null

""" Contains all parameter validations """ import json import pandas def export_csv(docs_list: list, out: str, header: bool) -> None: # type: ignore """ Export file to csv Args: docs (list): Queried docs from mongodb out (str): Output file """ # create empty DataFrame to store docs df_doc = pandas.DataFrame(columns=[]) # prepare result to be exported for doc in docs_list: series_obj = pandas.Series(doc) df_doc = df_doc.append(series_obj, ignore_index=True) df_doc.to_csv(out, sep=',', index=False, header=header) def export_json(**kwargs) -> None: # type: ignore """ Export file to json Args: docs (list): Queried docs from mongodb out (str): Output file """ with open(kwargs['out'], 'w') as outfile: json.dump(kwargs['docs_list'], outfile, indent=2) def export_txt(docs_list: list, out: str, header: bool) -> None: # type: ignore """ Export file to txt Args: docs (list): Queried docs from mongodb out (str): Output file """ # create empty DataFrame to store docs df_doc = pandas.DataFrame(columns=[]) # prepare result to be exported for doc in docs_list: series_obj = pandas.Series(doc) df_doc = df_doc.append(series_obj, ignore_index=True) df_doc.to_csv(out, index=False, header=header)

24.403509

80

0.629763

192

1,391

4.4375

0.291667

0.075117

0.037559

0.070423

0.746479

0.715962

0

0.000968

0.257369

1,391

56

81

24.839286

0.823814

0.357297

0

0.470588

0

0.017522

0

1

0.176471

false

0

0.117647

0

0.294118

0

null

0

1

0

null

0

5

c188e7121128fca0f92698c3eec5dfb167512885

277

py

Python

Python/array.py

AbdulConsole/Hacktoberfest2019-2

b9619361b6cecf9b3e734972af3b0a03dba98d2e

[ "MIT" ]

1

2019-10-28T20:12:23.000Z

Python/array.py

AbdulConsole/Hacktoberfest2019-2

b9619361b6cecf9b3e734972af3b0a03dba98d2e

[ "MIT" ]

null

Python/array.py

AbdulConsole/Hacktoberfest2019-2

b9619361b6cecf9b3e734972af3b0a03dba98d2e

[ "MIT" ]

1

2020-10-16T14:10:12.000Z

import array as arr numbers_list = [2, 5, 62, 5, 42, 52, 48, 5] numbers_array = arr.array('i', numbers_list) print(numbers_array[2:5]) # 3rd to 5th print(numbers_array[:-5]) # beginning to 4th print(numbers_array[5:]) # 6th to end print(numbers_array[:]) # beginning to end

34.625

44

0.700361

49

277

3.816327

0.428571

0.320856

0.363636

0.192513

0

0.084746

0.148014

277

7

45

39.571429

0.707627

0.198556

0

0.004608

0

1

0

false

0

0.142857

0

0.142857

0.571429

0

null

1

0

1

0

null

0

1

0

5

c1a1ef8fe5c0691ee38a3b1ca0b6f35531868b03

40

py

Python

WSGIServer/exceptions.py

CakeBrewery/WSGIServer

574b8f2a13ab7d11cfd59c6486c34315abe3afa1

[ "MIT" ]

null

WSGIServer/exceptions.py

CakeBrewery/WSGIServer

574b8f2a13ab7d11cfd59c6486c34315abe3afa1

[ "MIT" ]

null

WSGIServer/exceptions.py

CakeBrewery/WSGIServer

574b8f2a13ab7d11cfd59c6486c34315abe3afa1

[ "MIT" ]

null

class CannotKeepUp(Exception): pass

13.333333

30

0.75

4

40

7.5

1

0

0.175

40

2

31

20

0.909091

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

c1bda62d454c26cae5bcc8b130797c65c3023d88

47

py

Python

python_use_module.py

alamedra/astr-119-session-2

d8e92723a085b124ebfe4c311efb98ccee751387

[ "MIT" ]

null

python_use_module.py

alamedra/astr-119-session-2

d8e92723a085b124ebfe4c311efb98ccee751387

[ "MIT" ]

null

python_use_module.py

alamedra/astr-119-session-2

d8e92723a085b124ebfe4c311efb98ccee751387

[ "MIT" ]

null

import test_module as tm tm.hello_world()

11.75

26

0.723404

8

47

4

0.875

0

0.212766

47

3

27

15.666667

0.864865

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c1bec24785d1f381501b826243a8fe53601ff955

42

py

Python

garageofcode/main.py

tpi12jwe/garageofcode

3cfaf01f6d77130bb354887e6ed9921c791db849

[ "MIT" ]

2

2020-02-11T10:32:06.000Z

2020-02-11T17:00:47.000Z

garageofcode/main.py

tpi12jwe/garageofcode

3cfaf01f6d77130bb354887e6ed9921c791db849

[ "MIT" ]

null

garageofcode/main.py

tpi12jwe/garageofcode

3cfaf01f6d77130bb354887e6ed9921c791db849

[ "MIT" ]

null

from labyrinth.main import main main()

8.4

31

0.738095

6

42

5.166667

0.666667

0

0.190476

42

4

32

10.5

0.911765

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

de0237b8666c35180ca29fa84fd0b0f152a79ec3

270

py

Python

problems/c4subgraphiso/generator/main.py

Benezivas/algobattle-problems

b00b85413893bd1618001a4cdaa0dd7442f4e481

[ "MIT" ]

null

problems/c4subgraphiso/generator/main.py

Benezivas/algobattle-problems

b00b85413893bd1618001a4cdaa0dd7442f4e481

[ "MIT" ]

null

problems/c4subgraphiso/generator/main.py

Benezivas/algobattle-problems

b00b85413893bd1618001a4cdaa0dd7442f4e481

[ "MIT" ]

null

"""Simple dummy generator for the C4SubGraphIso problem, outputting a static instance.""" with open("output", "w") as output: output.write("s 1 2 3 4\n") output.write("e 4 1\n") output.write("e 1 2\n") output.write("e 2 3\n") output.write("e 3 4\n")

33.75

89

0.633333

49

270

3.489796

0.489796

0.321637

0.280702

0.304094

0

0.059908

0.196296

270

7

90

38.571429

0.728111

0.307407

0

0.254144

0

1

0

true

0

null

1

0

1

0

null

0

1

0

5

de0af6fefdcbd005523b9e45d8d172230ef68b61

6,564

py

Python

tests/sentry/api/endpoints/test_issues_resolved_in_release.py

AlexWayfer/sentry

ef935cda2b2e960bd602fda590540882d1b0712d

[ "BSD-3-Clause" ]

1

2018-03-05T15:40:12.000Z

tests/sentry/api/endpoints/test_issues_resolved_in_release.py

AlexWayfer/sentry

ef935cda2b2e960bd602fda590540882d1b0712d

[ "BSD-3-Clause" ]

6

2018-10-19T10:04:23.000Z

2019-12-09T20:29:12.000Z

tests/sentry/api/endpoints/test_issues_resolved_in_release.py

AlexWayfer/sentry

ef935cda2b2e960bd602fda590540882d1b0712d

[ "BSD-3-Clause" ]

1

2018-07-02T09:46:44.000Z

from __future__ import absolute_import from django.core.urlresolvers import reverse import six from sentry.models import ( Commit, GroupLink, GroupResolution, ReleaseCommit, Repository, ) from sentry.testutils import APITestCase class IssuesResolvedInReleaseEndpointTest(APITestCase): def setUp(self): super(IssuesResolvedInReleaseEndpointTest, self).setUp() self.user = self.create_user() self.org = self.create_organization() self.team = self.create_team(organization=self.org) self.create_member(organization=self.org, user=self.user, teams=[self.team]) self.project = self.create_project( teams=[self.team], ) self.release = self.create_release( project=self.project, ) self.group = self.create_group(project=self.project) self.login_as(self.user) self.path = reverse( 'sentry-api-0-release-resolved', kwargs={ 'organization_slug': self.project.organization.slug, 'project_slug': self.project.slug, 'version': self.release.version, } ) def test_shows_issues_from_groupresolution(self): """ tests that the endpoint will correctly retrieve issues resolved in a release from the GroupResolution model """ GroupResolution.objects.create( group=self.group, release=self.release, type=GroupResolution.Type.in_release, ) response = self.client.get(self.path) assert response.status_code == 200, response.content assert len(response.data) == 1 assert response.data[0]['id'] == six.text_type(self.group.id) def test_shows_issues_from_grouplink(self): """ tests that the endpoint will correctly retrieve issues resolved in a release from the GroupLink model """ repo = Repository.objects.create( organization_id=self.org.id, name=self.project.name, ) commit = Commit.objects.create( organization_id=self.org.id, repository_id=repo.id, key='a' * 40, ) commit2 = Commit.objects.create( organization_id=self.org.id, repository_id=repo.id, key='b' * 40, ) ReleaseCommit.objects.create( organization_id=self.org.id, release=self.release, commit=commit, order=1, ) ReleaseCommit.objects.create( organization_id=self.org.id, release=self.release, commit=commit2, order=0, ) GroupLink.objects.create( group_id=self.group.id, project_id=self.group.project_id, linked_type=GroupLink.LinkedType.commit, relationship=GroupLink.Relationship.resolves, linked_id=commit.id, ) response = self.client.get(self.path) assert response.status_code == 200, response.content assert len(response.data) == 1 assert response.data[0]['id'] == six.text_type(self.group.id) def test_does_not_return_duplicate_groups(self): """ tests that the endpoint will correctly retrieve issues resolved in a release from the GroupLink and GroupResolution model but will not return the groups twice if they appear in both """ repo = Repository.objects.create( organization_id=self.org.id, name=self.project.name, ) commit = Commit.objects.create( organization_id=self.org.id, repository_id=repo.id, key='a' * 40, ) commit2 = Commit.objects.create( organization_id=self.org.id, repository_id=repo.id, key='b' * 40, ) ReleaseCommit.objects.create( organization_id=self.org.id, release=self.release, commit=commit, order=1, ) ReleaseCommit.objects.create( organization_id=self.org.id, release=self.release, commit=commit2, order=0, ) GroupLink.objects.create( group_id=self.group.id, project_id=self.group.project_id, linked_type=GroupLink.LinkedType.commit, relationship=GroupLink.Relationship.resolves, linked_id=commit.id, ) GroupResolution.objects.create( group=self.group, release=self.release, type=GroupResolution.Type.in_release, ) response = self.client.get(self.path) assert response.status_code == 200, response.content assert len(response.data) == 1 assert response.data[0]['id'] == six.text_type(self.group.id) def test_return_groups_from_both_types(self): """ tests that the endpoint will correctly retrieve issues resolved in a release from both the GroupLink and GroupResolution model """ group2 = self.create_group(project=self.project) repo = Repository.objects.create( organization_id=self.org.id, name=self.project.name, ) commit = Commit.objects.create( organization_id=self.org.id, repository_id=repo.id, key='a' * 40, ) commit2 = Commit.objects.create( organization_id=self.org.id, repository_id=repo.id, key='b' * 40, ) ReleaseCommit.objects.create( organization_id=self.org.id, release=self.release, commit=commit, order=1, ) ReleaseCommit.objects.create( organization_id=self.org.id, release=self.release, commit=commit2, order=0, ) GroupLink.objects.create( group_id=self.group.id, project_id=self.group.project_id, linked_type=GroupLink.LinkedType.commit, relationship=GroupLink.Relationship.resolves, linked_id=commit.id, ) GroupResolution.objects.create( group=group2, release=self.release, type=GroupResolution.Type.in_release, ) response = self.client.get(self.path) assert response.status_code == 200, response.content assert len(response.data) == 2

32.49505

84

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0

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0

0.029762

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0.065476

0

null

0

1

0

null

0

5

a9b6540f8af3e9d5d6004e0d9127a26184b29fa6

302

py

Python

server/src/labelFunctions/index.py

leonard-thong/dlwlrat

2b4b669a3b2f348d1b05125afd6b8a1907b6b212

[ "CC-BY-3.0" ]

2

2020-10-08T06:01:22.000Z

2020-12-15T16:28:27.000Z

server/src/labelFunctions/index.py

dreamyang-liu/SciAnnotate

dfa41ec5c2c4b6665b5d9b059895be20e9e0cfe2

[ "CC-BY-3.0" ]

8

2020-12-09T02:55:20.000Z

2020-12-23T23:31:42.000Z

server/src/labelFunctions/index.py

dreamyang-liu/SciAnnotate

dfa41ec5c2c4b6665b5d9b059895be20e9e0cfe2

[ "CC-BY-3.0" ]

4

2021-02-02T04:51:53.000Z

2021-07-18T17:00:04.000Z

# -*- coding:utf-8 -*- """ =========================================== @author: lmy, leonard @time: 2020/8/19 11:03 PM @project: brat @file: index.py =========================================== """ from .contactLabeler import * from .executor1 import * from .x import * from .xx import *

23.230769

43

0.433775

30

302

4.366667

0.766667

0.229008

0

0.051383

0.162252

302

13

44

23.230769

0.466403

0.672185

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

e70e297f0693cbe0942f362178dce263c911d064

37

py

Python

data/System/Herunterfahren.py

Fadope1/mp3Controller

1b5381adf5322e37409d4ae56f59ef064da2a3c6

[ "MIT" ]

null

data/System/Herunterfahren.py

Fadope1/mp3Controller

1b5381adf5322e37409d4ae56f59ef064da2a3c6

[ "MIT" ]

null

data/System/Herunterfahren.py

Fadope1/mp3Controller

1b5381adf5322e37409d4ae56f59ef064da2a3c6

[ "MIT" ]

null

import os os.system("shutdown now")

9.25

25

0.72973

6

37

4.5

0.833333

0

0.135135

37

3

26

12.333333

0.84375

0

0.324324

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e72bfbcf6f9ddcc93a5a61ea7e9e401494c5faa8

237

py

Python

openjij/sampler/__init__.py

Atsushi-Machida/OpenJij

e4bddebb13536eb26ff0b7b9fc6b1c75659fe934

[ "Apache-2.0" ]

null

openjij/sampler/__init__.py

Atsushi-Machida/OpenJij

e4bddebb13536eb26ff0b7b9fc6b1c75659fe934

[ "Apache-2.0" ]

null

openjij/sampler/__init__.py

Atsushi-Machida/OpenJij

e4bddebb13536eb26ff0b7b9fc6b1c75659fe934

[ "Apache-2.0" ]

null

from .response import Response from .sampler import * from .sa_sampler import SASampler from .sqa_sampler import SQASampler from .gpu_sqa_sampler import GPUSQASampler from .gpu_sa_sampler import GPUSASampler from .cmos_annealer import *

29.625

42

0.843882

33

237

5.848485

0.393939

0.336788

0.15544

0

0.118143

237

7

43

33.857143

0.923445

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

e7446cadb184775a3927f9dc5f35a6885d79a46b

181

py

Python

src/test/pythonFiles/testFiles/standard/tests/external.py

ChaseKnowlden/vscode-jupyter

9bdaf87f0b6dcd717c508e9023350499a6093f97

[ "MIT" ]

615

2020-11-11T22:55:28.000Z

2022-03-30T21:48:08.000Z

src/test/pythonFiles/testFiles/standard/tests/external.py

ChaseKnowlden/vscode-jupyter

9bdaf87f0b6dcd717c508e9023350499a6093f97

[ "MIT" ]

8,428

2020-11-11T22:06:43.000Z

2022-03-31T23:42:34.000Z

src/test/pythonFiles/testFiles/standard/tests/external.py

vasili8m/vscode-python

846eee870e8b7bab38172600836faedb5fb80166

[ "MIT" ]

158

2020-11-12T07:49:02.000Z

2022-03-27T20:50:20.000Z

class ForeignTests: class TestExtraNestedForeignTests: def test_super_deep_foreign(self): assert False def test_foreign_test(self): assert False

25.857143

42

0.690608

19

181

6.315789

0.578947

0.116667

0.25

0

0.265193

181

6

43

30.166667

0.902256

0

0.333333

0

0.333333

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e7974eb3db1511a1249f05c1ed94cf20e57e7104

42

py

Python

src/main/resources/docs/tests/W0301.py

h314to/codacy-pylint

9d31567db6188e1b31ce0e1567998f64946502df

[ "Apache-2.0" ]

null

src/main/resources/docs/tests/W0301.py

h314to/codacy-pylint

9d31567db6188e1b31ce0e1567998f64946502df

[ "Apache-2.0" ]

null

src/main/resources/docs/tests/W0301.py

h314to/codacy-pylint

9d31567db6188e1b31ce0e1567998f64946502df

[ "Apache-2.0" ]

null

##Patterns: W0301 ##Info: W0301 a = 1;

10.5

18

0.571429

6

42

4

0.833333

0

0.28125

0.238095

42

3

19

14

0.46875

0.619048

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

99be151f8d4a94bc2cffbab98edbfd933cacf8b5

1,487

py

Python

Complementing_Strand_of_DNA.py

sujitmandal/Boinformatics

56f4116fd5281bf04b694152b1ea9cf219a6d757

[ "MIT" ]

null

Complementing_Strand_of_DNA.py

sujitmandal/Boinformatics

56f4116fd5281bf04b694152b1ea9cf219a6d757

[ "MIT" ]

null

Complementing_Strand_of_DNA.py

sujitmandal/Boinformatics

56f4116fd5281bf04b694152b1ea9cf219a6d757

[ "MIT" ]

null

string = "TCAGGTCTTAAAAGGCTAGACGGATGATCCGTCATGTGCTTATAACCTCATACCGCGTGCGCTCCCTAGTTCTTGTGGGAAGAACCTCCGATCACTTCCGTACTTCAGGTCATTTTCTGTGATAACCTCTTCACCATTAGGTATGCTGTTACGGCTCACTATGTCTTAAGGGTATACAGGGATGGGCCCACTATATACCACTAGCGTGGAACGTCGTTCCACCTAGATACATACACCCTTCAAATTGTGGTCATTCTAAAAAAGGCTTCTTCTGAGACGGTAACTGGCTATGGGTGATCGCTCGTACAGGTATCTCGAAAAGGAGATGGGGCTCATCGTTTGTCAATCCCCCCATCTGAGGCTTTGGGTCACATTGCAGTTTCAGATCCCATCTTCTGTAACCAACCTGCGAACTGCTTCAACGTGCAACTTAGTACTAAGTACGATTGAGCGTAGCCCTAAGGGGTTAACTGTACGCTATGAGTTCATTTCATGTTTGTCTGGGAAATTCGACGTACATACTCCATGTGATGGCTTATAGTCCTCAGCATGGCAAAAACTCGTTACAGAAATAAATTGGCGGGACTACGCCATACTGTTGCCCAGTTATACGCATGGGTAAGCACGCCCAGTTATGTTCCTCACGGTTGATTGCGCGATCCGTTTCGGCCGAATGCCGCGACGGTGGTTGACCCTGTTGACATTTTGTCGTCTGTCTCTAGGCCACTTCGCAAAGACCAGCTCCCCTAAAGACTACATTGCCGTCGGTATCCATCATTCCTGAGAGACGTGAGGCCCCCTTTCGTAACCCAGCCCGGCTGAAATCTCAATTCCTTAACCTCGGCCCTTTCTATATTTATCTAGTCACTCGGTATATGTTAGCTAGGTTATCCACCATAGAAATTGTCAACTTGATGCCAGCCGGCAGGATATAGTAAGGATATCGAAGTCCCAGTATTGACATCAAGACGTCATCCCTTCCGTGGGGGATCTAAAAAC" ''' Author : Sujit Mandal Github: https://github.com/sujitmandal Package : https://pypi.org/project/images-into-array/ LinkedIn : https://www.linkedin.com/in/sujit-mandal-91215013a/ Facebook : https://www.facebook.com/sujit.mandal.33671748 Twitter : https://twitter.com/mandalsujit37 ''' def DNA(temp): st_temp = temp.replace('A', 't').replace('T', 'a').replace('C', 'g').replace('G', 'c').upper()[::-1] print(st_temp) if __name__ == "__main__": DNA(string)

78.263158

1,010

0.891728

68

1,487

19.352941

0.573529

0.025076

0

0.013277

0.03766

1,487

18

1,011

82.611111

0.906359

0

0.847245

0.83389

0

1

0

1

0.166667

false

0

0.166667

0

1

null

0

1

0

1

null

1

0

5

99ec93579d92280a83c5edd71ef71c89f21f8a81

203

py

Python

bobstack/sipmessaging/concretesipmessages/inviteSIPRequest.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

bobstack/sipmessaging/concretesipmessages/inviteSIPRequest.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

bobstack/sipmessaging/concretesipmessages/inviteSIPRequest.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

from ...sipmessaging import SIPRequest class INVITESIPRequest(SIPRequest): @property def is_invite_request(self): return True @property def is_known(self): return True

16.916667

38

0.679803

22

203

6.136364

0.681818

0.162963

0.192593

0

0.251232

203

11

39

18.454545

0.888158

0

0.5

0

1

0.25

false

0

0.125

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

820a3b29c7139c4175fb31dbf43be353c1b73f18

142

py

Python

src/react_ssr/exceptions.py

urantialife/react-ssr-backend

f4d094fbd15ff1eb2178aeac0bf9bec8c70414f7

[ "BSD-2-Clause" ]

1

2019-06-23T21:00:16.000Z

src/react_ssr/exceptions.py

urantialife/react-ssr-backend

f4d094fbd15ff1eb2178aeac0bf9bec8c70414f7

[ "BSD-2-Clause" ]

null

src/react_ssr/exceptions.py

urantialife/react-ssr-backend

f4d094fbd15ff1eb2178aeac0bf9bec8c70414f7

[ "BSD-2-Clause" ]

null

class RenderFrontendError(Exception): pass class GetContextError(Exception): pass class GetDefaultStateError(Exception): pass

12.909091

38

0.760563

12

142

9

0.5

0.361111

0.333333

0

0.176056

142

10

39

14.2

0.923077

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

8246dc79492b3bf557a76db49ba1825839531379

47

py

Python

lang/py/cookbook/v2/source/cb2_19_9_sol_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_19_9_sol_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_19_9_sol_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

for x in a: for y in b: print x, y

11.75

18

0.446809

11

47

1.909091

0.636364

0

0.489362

47

3

19

15.666667

0.875

0

null

0

null

0.333333

1

null

0

1

0

null

0

1

0

5

4132ee58a226e2fa529d29c9d666bb398283f978

34

py

Python

whilesonusuz.py

sahintuter/Basic-Python-Examples

97e8e1d5e918c154ebac88b850200c1d461c128f

[ "Apache-2.0" ]

null

whilesonusuz.py

sahintuter/Basic-Python-Examples

97e8e1d5e918c154ebac88b850200c1d461c128f

[ "Apache-2.0" ]

null

whilesonusuz.py

sahintuter/Basic-Python-Examples

97e8e1d5e918c154ebac88b850200c1d461c128f

[ "Apache-2.0" ]

null

while True: print("sonsuz")

11.333333

20

0.588235

4

34

5

1

0

0.264706

34

2

21

17

0.8

0

0.1875

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

4135ac2116210c5d0db399a173a75c9372c88bcd

297

py

Python

poo_exercise/models/__init__.py

thiagosalvatore/poo-exercise

ab897d9b17b3aa63252c4fa7334f624f6d380d9a

[ "Apache-2.0" ]

null

poo_exercise/models/__init__.py

thiagosalvatore/poo-exercise

ab897d9b17b3aa63252c4fa7334f624f6d380d9a

[ "Apache-2.0" ]

null

poo_exercise/models/__init__.py

thiagosalvatore/poo-exercise

ab897d9b17b3aa63252c4fa7334f624f6d380d9a

[ "Apache-2.0" ]

null

from poo_exercise.models.classroom import Classroom from poo_exercise.models.question import Question from poo_exercise.models.quiz import Quiz from poo_exercise.models.student import Student from poo_exercise.models.student_quiz import StudentQuiz from poo_exercise.models.teacher import Teacher

42.428571

56

0.878788

43

297

5.906977

0.255814

0.165354

0.354331

0.496063

0.220472

0

0.080808

297

6

57

49.5

0.930403

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

413f2103569be24e3d6f0a05ec48b83503156bfb

77

py

Python

acq4/devices/PatchPipette/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

47

2015-01-05T16:18:10.000Z

2022-03-16T13:09:30.000Z

acq4/devices/PatchPipette/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

48

2015-04-19T16:51:41.000Z

2022-03-31T14:48:16.000Z

acq4/devices/PatchPipette/__init__.py

sensapex/acq4

9561ba73caff42c609bd02270527858433862ad8

[ "MIT" ]

32

2015-01-15T14:11:49.000Z

2021-07-15T13:44:52.000Z

from __future__ import print_function from .patchpipette import PatchPipette

25.666667

38

0.883117

9

77

7

0.666667

0

0.103896

77

2

39

38.5

0.913043

0

1

0

true

0

1

0

1

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4184757a21af3c941bc4568b5152bb621805b3ef

214

py

Python

tests/fixtures/auth.py

jmwri/pyrunehistory

a9384cb86d706857158c2ac74d4bef30de99ae31

[ "MIT" ]

null

tests/fixtures/auth.py

jmwri/pyrunehistory

a9384cb86d706857158c2ac74d4bef30de99ae31

[ "MIT" ]

null

tests/fixtures/auth.py

jmwri/pyrunehistory

a9384cb86d706857158c2ac74d4bef30de99ae31

[ "MIT" ]

null

from pytest import fixture from pyrunehistory.client import Client from pyrunehistory.auth import Auth @fixture def auth() -> Auth: c = Client('user', 'password', 'secret', 'http://tests') return c.auth

19.454545

60

0.71028

28

214

5.428571

0.535714

0.223684

0

0.168224

214

10

61

21.4

0.853933

0

0.140187

0

1

0.142857

false

0.142857

0.428571

0

0.714286

0

1

0

null

1

0

null

0

1

0

1

0

5

41b7c2c8b55507db402f8c007943df6e2831904c

157

py

Python

hocrox/layer/preprocessing/transformation/__init__.py

imdeepmind/hocrox

271f7ee8f7b9c0fb5466f5b8d9acbc0a703b570f

[ "MIT" ]

2

2021-12-09T19:20:23.000Z

2021-12-26T13:22:50.000Z

hocrox/layer/preprocessing/transformation/__init__.py

imdeepmind/hocrox

271f7ee8f7b9c0fb5466f5b8d9acbc0a703b570f

[ "MIT" ]

29

2021-04-28T14:37:36.000Z

2022-03-17T18:37:52.000Z

hocrox/layer/preprocessing/transformation/__init__.py

imdeepmind/hocrox

271f7ee8f7b9c0fb5466f5b8d9acbc0a703b570f

[ "MIT" ]

1

2022-03-07T10:55:36.000Z

"""Preprocessing layers that transforms images.""" from .crop import Crop from .pading import Padding from .resize import Resize from .rotate import Rotate

22.428571

50

0.789809

21

157

5.904762

0.571429

0

0.140127

157

6

51

26.166667

0.918519

0.280255

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

41b8ad039382a81095801040b7e287eed0d4318b

150

py

Python

rl4rs/env/__init__.py

fuxiAIlab/RL4RS

e26ee5d068eaffd0f04779067614e34e313b1200

[ "Apache-2.0" ]

77

2022-02-17T01:51:29.000Z

2022-03-23T23:34:01.000Z

rl4rs/env/__init__.py

fuxiAIlab/RL4RS

e26ee5d068eaffd0f04779067614e34e313b1200

[ "Apache-2.0" ]

2

2022-03-15T11:38:50.000Z

2022-03-29T08:12:46.000Z

rl4rs/env/__init__.py

fuxiAIlab/RL4RS

e26ee5d068eaffd0f04779067614e34e313b1200

[ "Apache-2.0" ]

11

2022-02-26T18:14:35.000Z

2022-03-29T21:29:10.000Z

from .base import RecDataBase, RecSimBase, RecEnvBase, RecState __all__ = [ "RecDataBase", "RecSimBase", "RecEnvBase", "RecState", ]

16.666667

63

0.66

12

150

7.916667

0.666667

0.442105

0.652632

0.821053

0

0.213333

150

8

64

18.75

0.805085

0

0.26

0

1

0

false

0

0.142857

0

0.142857

0

1

0

null

1

0

1

0

null

0

5

41c5de797ef7699d54bc170c40d2ce0440ca6549

231

py

Python

prism/__init__.py

CurtLH/prism-python

82cf5ef75509550741c73ccf62c4541ff881e469

[ "Apache-2.0" ]

14

2020-04-02T00:41:46.000Z

2022-01-06T03:58:53.000Z

prism/__init__.py

CurtLH/prism-python

82cf5ef75509550741c73ccf62c4541ff881e469

[ "Apache-2.0" ]

15

2019-12-05T22:51:04.000Z

2021-06-25T20:56:42.000Z

prism/__init__.py

CurtLH/prism-python

82cf5ef75509550741c73ccf62c4541ff881e469

[ "Apache-2.0" ]

5

2019-12-05T22:55:49.000Z

2020-11-18T18:31:59.000Z

from prism.prism import Prism, load_schema, create_table, upload_file from ._version import get_versions __version__ = get_versions()["version"] del get_versions __all__ = ["load_schema", "Prism", "create_table", "upload_file"]

25.666667

69

0.779221

31

231

5.225806

0.451613

0.203704

0.209877

0.259259

0

0.108225

231

8

70

28.875

0.786408

0

0.199134

0

1

0

false

0

0.4

0

0.4

0

null

1

0

1

0

null

0

1

0

5

68d533f537b1bea1308c50afd462dd5d709014c6

168

py

Python

uliweb/contrib/staticfiles/conf.py

timgates42/uliweb

80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1

[ "BSD-2-Clause" ]

202

2015-01-12T08:10:48.000Z

2021-11-08T09:04:32.000Z

uliweb/contrib/staticfiles/conf.py

timgates42/uliweb

80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1

[ "BSD-2-Clause" ]

30

2015-01-01T09:07:17.000Z

2021-06-03T12:58:45.000Z

uliweb/contrib/staticfiles/conf.py

timgates42/uliweb

80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1

[ "BSD-2-Clause" ]

58

2015-01-12T03:28:54.000Z

2022-01-14T01:58:08.000Z

from uliweb.form import * class ManageForm(Form): static_url = StringField(label='Static URL prefix:', required=True, key='wsgi_middleware_staticfiles/STATIC_URL')

42

117

0.785714

22

168

5.818182

0.772727

0.210938

0

0.10119

168

4

117

42

0.847682

0

0.331361

0.224852

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ec176572f6f3e86a7252760d80c4d4ea64a7dca5

139

py

Python

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

lakshmi2005/buck

012a59d5d2e5a45b483e85fb190d2b67ea0c56ab

[ "Apache-2.0" ]

1

2022-01-25T13:13:09.000Z

test/com/facebook/buck/python/testdata/python_test/test_spinning.py

monaka/buck

5bf0591e649158237fe7d8523f11380e4f54bdf4

[ "Apache-2.0" ]

1

2018-12-10T15:54:22.000Z

2018-12-10T19:30:37.000Z

test/com/facebook/buck/python/testdata/python_test/test_spinning.py

monaka/buck

5bf0591e649158237fe7d8523f11380e4f54bdf4

[ "Apache-2.0" ]

1

2022-01-25T13:14:45.000Z

import unittest import time class Test(unittest.TestCase): def test_that_passes(self): while True: time.sleep(1)

15.444444

31

0.654676

18

139

4.944444

0.777778

0

0.009804

0.266187

139

8

32

17.375

0.862745

0

1

0.166667

false

0.166667

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ec2313367ba597f9b98d1ea92500b0d058501b87

52

py

Python

mkpy/__main__.py

phipus/mkpy

8d5da1ea868e85ea6a7b20fa250989af0d1ee0c8

[ "MIT" ]

null

mkpy/__main__.py

phipus/mkpy

8d5da1ea868e85ea6a7b20fa250989af0d1ee0c8

[ "MIT" ]

null

mkpy/__main__.py

phipus/mkpy

8d5da1ea868e85ea6a7b20fa250989af0d1ee0c8

[ "MIT" ]

null

import os import sys from .make import main main()

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0

null

0

1

0

1

0

1

0

5

ec26cf264ef74b054d7286a7bf2f3efd084f6e76

38

py

Python

tests/components/twitch/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/twitch/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/twitch/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests for the Twitch component."""

19

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null

0

1

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5

ec37df794d8476676e294d834ad65ee0269a31a8

267

py

Python

app/routes.py

davidtso1219/timer_app

d0d8fc07a139e9d8932e569ea3bc9b1c595db2ac

[ "MIT" ]

null

app/routes.py

davidtso1219/timer_app

d0d8fc07a139e9d8932e569ea3bc9b1c595db2ac

[ "MIT" ]

null

app/routes.py

davidtso1219/timer_app

d0d8fc07a139e9d8932e569ea3bc9b1c595db2ac

[ "MIT" ]

null

from flask import render_template, request, flash from app import app @app.route('/') def welcome(): return render_template('index.html') @app.route('/timer') @app.route('/timer/<name>') def next(name=None): return render_template('timer.html', name=name)

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null

1

0

null

0

1

0

1

0

5

ec391762e00a207f2d6f00a1964e9e042c2df23d

148

py

Python

apps/cars/api/serializers/__init__.py

agorsk1/car-rating-app

354c5933f4cbad69c9a57d1839f9086cd5cf9a1d

[ "MIT" ]

1

2022-03-03T11:15:25.000Z

apps/cars/api/serializers/__init__.py

agorsk1/car-rating-app

354c5933f4cbad69c9a57d1839f9086cd5cf9a1d

[ "MIT" ]

null

apps/cars/api/serializers/__init__.py

agorsk1/car-rating-app

354c5933f4cbad69c9a57d1839f9086cd5cf9a1d

[ "MIT" ]

null

from .car_serializers import ( CarSerializer, CarPopularitySerializer, CarSerializer ) from .rating_serializers import RatingSerializer

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0.797297

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148

9.666667

0.666667

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1

0

1

0

null

0

1

0

1

0

5

6b5dc5b9587c35e35b8217d498e47fd608bf481f

19

py

Python

braintree/version.py

maneeshd/braintree_python

4aa3f4b8a376ea81bf16a053d840efe55ae13675

[ "MIT" ]

null

braintree/version.py

maneeshd/braintree_python

4aa3f4b8a376ea81bf16a053d840efe55ae13675

[ "MIT" ]

null

braintree/version.py

maneeshd/braintree_python

4aa3f4b8a376ea81bf16a053d840efe55ae13675

[ "MIT" ]

null

Version = "3.59.0"

9.5

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0

1

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null

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1

0

1

0

1

0

null

0

5

6b6b6f12404fdd729d8e23c7f7606a0e10ae3f7f

116

py

Python

roslibpy/math/__init__.py

mortenmj/roslibpy

e492ab89af283346939aed747506d84423cf194d

[ "BSD-3-Clause" ]

null

roslibpy/math/__init__.py

mortenmj/roslibpy

e492ab89af283346939aed747506d84423cf194d

[ "BSD-3-Clause" ]

null

roslibpy/math/__init__.py

mortenmj/roslibpy

e492ab89af283346939aed747506d84423cf194d

[ "BSD-3-Clause" ]

null

from .point import Point from .quaternion import Quaternion from .pose import Pose from .transform import Transform

23.2

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1

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1

0

null

0

1

0

1

0

1

0

5

6b85f115a69697a1af1760645d8462feaa202a77

22

py

Python

raft/__init__.py

ibaiGorordo/ONNX-RAFT-Optical-Flow-Estimation

38ce7b76846397df53631ab05e3dfa1e495ae0f4

[ "MIT" ]

4

2022-02-20T14:08:21.000Z

2022-03-26T10:48:52.000Z

raft/__init__.py

ibaiGorordo/ONNX-RAFT-Optical-Flow-Estimation

38ce7b76846397df53631ab05e3dfa1e495ae0f4

[ "MIT" ]

null

raft/__init__.py

ibaiGorordo/ONNX-RAFT-Optical-Flow-Estimation

38ce7b76846397df53631ab05e3dfa1e495ae0f4

[ "MIT" ]

null

from .raft import Raft

22

0.818182

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22

4.5

0.75

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1

22

0.947368

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1

0

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null

0

1

0

null

0

1

0

1

0

5

6bb0f6eaa788938b013b19783e1dabd8ba83894c

63

py

Python

py001.py

vandebettio/desenvolvimentopython-exercicios

7d2ee8feaf809f4d4c31015cae8bedab4d26e792

[ "MIT" ]

null

py001.py

vandebettio/desenvolvimentopython-exercicios

7d2ee8feaf809f4d4c31015cae8bedab4d26e792

[ "MIT" ]

null

py001.py

vandebettio/desenvolvimentopython-exercicios

7d2ee8feaf809f4d4c31015cae8bedab4d26e792

[ "MIT" ]

null

# O começo de tudo, mostrar 'Olá, mundo!' print('Olá, mundo!')

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63

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null

0

1

0

1

0

5

6bb4ec20c496aa4bfd8883c79529f77f39fc9399

84

py

Python

run_server.py

kdurril/mvp_app

dfe7ef75e4a49d9bce3cb50c29f1a6d25a15361d

[ "MIT" ]

null

run_server.py

kdurril/mvp_app

dfe7ef75e4a49d9bce3cb50c29f1a6d25a15361d

[ "MIT" ]

null

run_server.py

kdurril/mvp_app

dfe7ef75e4a49d9bce3cb50c29f1a6d25a15361d

[ "MIT" ]

null

#!/usr/bin/env # -*- encoding: utf-8 -*- import gunicorn from mvp_app import app

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null

0

1

0

1

0

1

0

5

6bbfcdd7ab9c272bc18a3bb8310792b62e674260

249

py

Python

python_files/similarity/Distances.py

albertoursino/ComparisonBetweenNetworks

e6e3612b47cf10ec4e284a66044dad0ddf412b85

[ "MIT" ]

1

2021-11-26T17:33:15.000Z

python_files/similarity/Distances.py

albertoursino/GraphsComparison

e6e3612b47cf10ec4e284a66044dad0ddf412b85

[ "MIT" ]

null

python_files/similarity/Distances.py

albertoursino/GraphsComparison

e6e3612b47cf10ec4e284a66044dad0ddf412b85

[ "MIT" ]

null

import numpy as np # Given two graphs by their adjacency matrices, # return the number of edges in common (in case all entries are 0's and 1's). def num_edges_in_common(mat1: np.matrix, mat2: np.matrix): return np.sum(np.multiply(mat1, mat2))

31.125

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0

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7

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0

1

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null

0

1

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1

0

5

6bdcbed91c2aed9d91abf539c0008a316c3415eb

1,157

py

Python

src/fp_artificial.py

yusif-ifraimo/FlapPy_Bird_SWT

a5af3f26f651c58b724a2161114b6ff5584d22fe

[ "MIT" ]

1

2020-09-18T09:00:43.000Z

src/fp_artificial.py

yusif-ifraimo/FlapPy_Bird_SWT

a5af3f26f651c58b724a2161114b6ff5584d22fe

[ "MIT" ]

null

src/fp_artificial.py

yusif-ifraimo/FlapPy_Bird_SWT

a5af3f26f651c58b724a2161114b6ff5584d22fe

[ "MIT" ]

null

def number(the_number, arg): return arg[0](the_number, arg[1]) if arg else the_number def zero (arg = None): return number(0, arg) def one (arg = None): return number(1, arg) def two (arg = None): return number(2, arg) def three(arg = None): return number(3, arg) def four (arg = None): return number(4, arg) def five (arg = None): return number(5, arg) def six (arg = None): return number(6, arg) def seven(arg = None): return number(7, arg) def eight(arg = None): return number(8, arg) def nine (arg = None): return number(9, arg) def plus (value): return int.__add__, value def minus (value): return int.__sub__, value def times (value): return int.__mul__, value def divided_by(value): return int.__floordiv__, value assert seven(times(five())) == 35 assert four(plus(nine())) == 13 assert eight(minus(three())) == 5 assert six(divided_by(two())) == 3 def quad(a, b, c): return lambda x: (a(x) if callable(a) else a)*(x ** 2) + \ (b(x) if callable(b) else b) * x + \ (a(x) if callable(c) else c) assert quad(0, 0, 3)(0) == 3 assert quad(quad(1, 0, 0), quad(0, 2, 0), 3)(0) == 3

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null

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null

0

1

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1

0

5

d401349e3655283a9449bbf73ea81ceb301926fb

247

py

Python

repo/__init__.py

GudniNatan/GSKI-PA6

a0f9a38bc0d2f6710f803a77276e6a76cd6f4471

[ "MIT" ]

null

repo/__init__.py

GudniNatan/GSKI-PA6

a0f9a38bc0d2f6710f803a77276e6a76cd6f4471

[ "MIT" ]

null

repo/__init__.py

GudniNatan/GSKI-PA6

a0f9a38bc0d2f6710f803a77276e6a76cd6f4471

[ "MIT" ]

null

from repo.member_repo import MemberRepo from repo.plays_repo import PlaysRepo from repo.repo import Repo, RelationError from repo.sport_repo import SportRepo from repo.group_repo import GroupRepo from repo.group_member_repo import GroupMemberRepo

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0

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0

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true

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0

null

0

1

0

1

0

1

0

5

d4077586394075db09833fbccc12fdfd0c984e21

51

py

Python

Online-Judges/CodingBat/Python/String-01/07-first_half.py

shihab4t/Competitive-Programming

e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be

[ "Unlicense" ]

3

2021-06-15T01:19:23.000Z

2022-03-16T18:23:53.000Z

Online-Judges/CodingBat/Python/String-01/07-first_half.py

shihab4t/Competitive-Programming

e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be

[ "Unlicense" ]

null

Online-Judges/CodingBat/Python/String-01/07-first_half.py

shihab4t/Competitive-Programming

e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be

[ "Unlicense" ]

null

def first_half(str): return str[:(len(str)/2)]

17

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0

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1

0

null

0

1

0

1

0

5

d40ed7311dfd6a9b6121a5ef4da4987f47689faf

12,225

py

Python

homework6/mybehaviors.py

markriedl/gaige

e4984571ae368195b6bc296e69ed707a86b88da3

[ "MIT" ]

100

2018-11-26T17:04:50.000Z

2022-03-26T10:16:23.000Z

homework6/mybehaviors.py

markriedl/gaige

e4984571ae368195b6bc296e69ed707a86b88da3

[ "MIT" ]

null

homework6/mybehaviors.py

markriedl/gaige

e4984571ae368195b6bc296e69ed707a86b88da3

[ "MIT" ]

9

2018-12-12T01:10:41.000Z

2020-07-04T18:20:04.000Z

''' * Copyright (c) 2014, 2015 Entertainment Intelligence Lab, Georgia Institute of Technology. * Originally developed by Mark Riedl. * Last edited by Mark Riedl 05/2015 * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. ''' import sys, pygame, math, numpy, random, time, copy from pygame.locals import * from constants import * from utils import * from core import * from moba2 import * from btnode import * ########################### ### SET UP BEHAVIOR TREE def treeSpec(agent): myid = str(agent.getTeam()) spec = None ### YOUR CODE GOES BELOW HERE ### ### YOUR CODE GOES ABOVE HERE ### return spec def myBuildTree(agent): myid = str(agent.getTeam()) root = None ### YOUR CODE GOES BELOW HERE ### ### YOUR CODE GOES ABOVE HERE ### return root ### Helper function for making BTNodes (and sub-classes of BTNodes). ### type: class type (BTNode or a sub-class) ### agent: reference to the agent to be controlled ### This function takes any number of additional arguments that will be passed to the BTNode and parsed using BTNode.parseArgs() def makeNode(type, agent, *args): node = type(agent, args) return node ############################### ### BEHAVIOR CLASSES: ################## ### Taunt ### ### Print disparaging comment, addressed to a given NPC ### Parameters: ### 0: reference to an NPC ### 1: node ID string (optional) class Taunt(BTNode): ### target: the enemy agent to taunt def parseArgs(self, args): BTNode.parseArgs(self, args) self.target = None # First argument is the target if len(args) > 0: self.target = args[0] # Second argument is the node ID if len(args) > 1: self.id = args[1] def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.target is not None: print "Hey", self.target, "I don't like you!" return ret ################## ### MoveToTarget ### ### Move the agent to a given (x, y) ### Parameters: ### 0: a point (x, y) ### 1: node ID string (optional) class MoveToTarget(BTNode): ### target: a point (x, y) def parseArgs(self, args): BTNode.parseArgs(self, args) self.target = None # First argument is the target if len(args) > 0: self.target = args[0] # Second argument is the node ID if len(args) > 1: self.id = args[1] def enter(self): BTNode.enter(self) self.agent.navigateTo(self.target) def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.target == None: # failed executability conditions print "exec", self.id, "false" return False elif distance(self.agent.getLocation(), self.target) < self.agent.getRadius(): # Execution succeeds print "exec", self.id, "true" return True else: # executing return None return ret ################## ### Retreat ### ### Move the agent back to the base to be healed ### Parameters: ### 0: percentage of hitpoints that must have been lost to retreat ### 1: node ID string (optional) class Retreat(BTNode): ### percentage: Percentage of hitpoints that must have been lost def parseArgs(self, args): BTNode.parseArgs(self, args) self.percentage = 0.5 # First argument is the factor if len(args) > 0: self.percentage = args[0] # Second argument is the node ID if len(args) > 1: self.id = args[1] def enter(self): BTNode.enter(self) base = self.agent.world.getBaseForTeam(self.agent.getTeam()) if base: self.agent.navigateTo(base.getLocation()) def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.agent.getHitpoints() > self.agent.getMaxHitpoints() * self.percentage: # fail executability conditions print "exec", self.id, "false" return False elif self.agent.getHitpoints() == self.agent.getMaxHitpoints(): # Exection succeeds print "exec", self.id, "true" return True else: # executing return None return ret ################## ### ChaseMinion ### ### Find the closest minion and move to intercept it. ### Parameters: ### 0: node ID string (optional) class ChaseMinion(BTNode): ### target: the minion to chase ### timer: how often to replan def parseArgs(self, args): BTNode.parseArgs(self, args) self.target = None self.timer = 50 # First argument is the node ID if len(args) > 0: self.id = args[0] def enter(self): BTNode.enter(self) self.timer = 50 enemies = self.agent.world.getEnemyNPCs(self.agent.getTeam()) if len(enemies) > 0: best = None dist = 0 for e in enemies: if isinstance(e, Minion): d = distance(self.agent.getLocation(), e.getLocation()) if best == None or d < dist: best = e dist = d self.target = best if self.target is not None: navTarget = self.chooseNavigationTarget() if navTarget is not None: self.agent.navigateTo(navTarget) def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.target == None or self.target.isAlive() == False: # failed execution conditions print "exec", self.id, "false" return False elif self.target is not None and distance(self.agent.getLocation(), self.target.getLocation()) < BIGBULLETRANGE: # succeeded print "exec", self.id, "true" return True else: # executing self.timer = self.timer - 1 if self.timer <= 0: self.timer = 50 navTarget = self.chooseNavigationTarget() if navTarget is not None: self.agent.navigateTo(navTarget) return None return ret def chooseNavigationTarget(self): if self.target is not None: return self.target.getLocation() else: return None ################## ### KillMinion ### ### Kill the closest minion. Assumes it is already in range. ### Parameters: ### 0: node ID string (optional) class KillMinion(BTNode): ### target: the minion to shoot def parseArgs(self, args): BTNode.parseArgs(self, args) self.target = None # First argument is the node ID if len(args) > 0: self.id = args[0] def enter(self): BTNode.enter(self) self.agent.stopMoving() enemies = self.agent.world.getEnemyNPCs(self.agent.getTeam()) if len(enemies) > 0: best = None dist = 0 for e in enemies: if isinstance(e, Minion): d = distance(self.agent.getLocation(), e.getLocation()) if best == None or d < dist: best = e dist = d self.target = best def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.target == None or distance(self.agent.getLocation(), self.target.getLocation()) > BIGBULLETRANGE: # failed executability conditions print "exec", self.id, "false" return False elif self.target.isAlive() == False: # succeeded print "exec", self.id, "true" return True else: # executing self.shootAtTarget() return None return ret def shootAtTarget(self): if self.agent is not None and self.target is not None: self.agent.turnToFace(self.target.getLocation()) self.agent.shoot() ################## ### ChaseHero ### ### Move to intercept the enemy Hero. ### Parameters: ### 0: node ID string (optional) class ChaseHero(BTNode): ### target: the hero to chase ### timer: how often to replan def ParseArgs(self, args): BTNode.parseArgs(self, args) self.target = None self.timer = 50 # First argument is the node ID if len(args) > 0: self.id = args[0] def enter(self): BTNode.enter(self) self.timer = 50 enemies = self.agent.world.getEnemyNPCs(self.agent.getTeam()) for e in enemies: if isinstance(e, Hero): self.target = e navTarget = self.chooseNavigationTarget() if navTarget is not None: self.agent.navigateTo(navTarget) return None def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.target == None or self.target.isAlive() == False: # fails executability conditions print "exec", self.id, "false" return False elif distance(self.agent.getLocation(), self.target.getLocation()) < BIGBULLETRANGE: # succeeded print "exec", self.id, "true" return True else: # executing self.timer = self.timer - 1 if self.timer <= 0: navTarget = self.chooseNavigationTarget() if navTarget is not None: self.agent.navigateTo(navTarget) return None return ret def chooseNavigationTarget(self): if self.target is not None: return self.target.getLocation() else: return None ################## ### KillHero ### ### Kill the enemy hero. Assumes it is already in range. ### Parameters: ### 0: node ID string (optional) class KillHero(BTNode): ### target: the minion to shoot def ParseArgs(self, args): BTNode.parseArgs(self, args) self.target = None # First argument is the node ID if len(args) > 0: self.id = args[0] def enter(self): BTNode.enter(self) self.agent.stopMoving() enemies = self.agent.world.getEnemyNPCs(self.agent.getTeam()) for e in enemies: if isinstance(e, Hero): self.target = e return None def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.target == None or distance(self.agent.getLocation(), self.target.getLocation()) > BIGBULLETRANGE: # failed executability conditions if self.target == None: print "foo none" else: print "foo dist", distance(self.agent.getLocation(), self.target.getLocation()) print "exec", self.id, "false" return False elif self.target.isAlive() == False: # succeeded print "exec", self.id, "true" return True else: #executing self.shootAtTarget() return None return ret def shootAtTarget(self): if self.agent is not None and self.target is not None: self.agent.turnToFace(self.target.getLocation()) self.agent.shoot() ################## ### HitpointDaemon ### ### Only execute children if hitpoints are above a certain threshold. ### Parameters: ### 0: percentage of hitpoints that must be remaining to pass the daemon check ### 1: node ID string (optional) class HitpointDaemon(BTNode): ### percentage: percentage of hitpoints that must be remaining to pass the daemon check def parseArgs(self, args): BTNode.parseArgs(self, args) self.percentage = 0.5 # First argument is the factor if len(args) > 0: self.percentage = args[0] # Second argument is the node ID if len(args) > 1: self.id = args[1] def execute(self, delta = 0): ret = BTNode.execute(self, delta) if self.agent.getHitpoints() < self.agent.getMaxHitpoints() * self.percentage: # Check failed print "exec", self.id, "fail" return False else: # Check didn't fail, return child's status return self.getChild(0).execute(delta) return ret ################## ### BuffDaemon ### ### Only execute children if agent's level is significantly above enemy hero's level. ### Parameters: ### 0: Number of levels above enemy level necessary to not fail the check ### 1: node ID string (optional) class BuffDaemon(BTNode): ### advantage: Number of levels above enemy level necessary to not fail the check def parseArgs(self, args): BTNode.parseArgs(self, args) self.advantage = 0 # First argument is the advantage if len(args) > 0: self.advantage = args[0] # Second argument is the node ID if len(args) > 1: self.id = args[1] def execute(self, delta = 0): ret = BTNode.execute(self, delta) hero = None # Get a reference to the enemy hero enemies = self.agent.world.getEnemyNPCs(self.agent.getTeam()) for e in enemies: if isinstance(e, Hero): hero = e break if hero == None or self.agent.level <= hero.level + self.advantage: # fail check print "exec", self.id, "fail" return False else: # Check didn't fail, return child's status return self.getChild(0).execute(delta) return ret ################################# ### MY CUSTOM BEHAVIOR CLASSES

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0.708467

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d435f4a9ddd857a2b12240748a5222bad0e3b32a

82

py

Python

pykodi/__init__.py

cgtobi/PyKodi

626e3d0ec0b0ad960d25a6f0bfb6c7fcfa3ea4bf

[ "MIT" ]

6

2020-09-05T07:26:44.000Z

2022-01-02T03:01:36.000Z

pykodi/__init__.py

cgtobi/PyKodi

626e3d0ec0b0ad960d25a6f0bfb6c7fcfa3ea4bf

[ "MIT" ]

7

2020-08-29T02:54:35.000Z

2021-09-12T18:23:08.000Z

pykodi/__init__.py

cgtobi/PyKodi

626e3d0ec0b0ad960d25a6f0bfb6c7fcfa3ea4bf

[ "MIT" ]

5

2020-08-28T09:56:28.000Z

2021-10-02T19:13:50.000Z

from .kodi import get_kodi_connection, Kodi, CannotConnectError, InvalidAuthError

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d45b37e02cf02a1791f26a0d796667f668461705

5,157

py

Python

query_builder.py

MattWellie/PAGE_MPO

55296a55c8606e877673d6398ec31db472ec8a04

[ "Apache-2.0" ]

1

2016-04-12T08:18:22.000Z

query_builder.py

MattWellie/PAGE_MPO

55296a55c8606e877673d6398ec31db472ec8a04

[ "Apache-2.0" ]

null

query_builder.py

MattWellie/PAGE_MPO

55296a55c8606e877673d6398ec31db472ec8a04

[ "Apache-2.0" ]

null

# Script to build queries based on results from variants passing filters in_file = 'summary.txt' template = 'zgrep {} /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/{}/{}/{}/vcf/{}.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep {}' with open(in_file, 'r') as handle: for line in handle: list = line.split('\t') if list[0] = 'proband': continue else: PP = list[0] pp1 = PP[:2] pp2 = PP[2:] pos = list[4] gene = list[5] print template.format(gene, pp1, pp2, PP, PP, pos) """ Results are: zgrep LAMA5 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/00/04/PP0004/vcf/PP0004.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 60886088 zgrep LAMA5 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/00/04/PP0004/vcf/PP0004.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 60892813 zgrep ATP6V1B2 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/00/25/PP0025/vcf/PP0025.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 20069263 zgrep AGAP1 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/00/65/PP0065/vcf/PP0065.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 236839424 zgrep DNAJC16 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/67/PP0267/vcf/PP0267.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 15894604 zgrep CLSPN /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/67/PP0267/vcf/PP0267.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 36216977 zgrep DHX33 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/67/PP0267/vcf/PP0267.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 5365725 zgrep SCN4A /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/03/15/PP0315/vcf/PP0315.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 62022122 zgrep KIF26B /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/73/PP0273/vcf/PP0273.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 245766015 zgrep KIF26B /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/73/PP0273/vcf/PP0273.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 245851740 zgrep RP11-445F12.2,RNA5SP439,SYNRG,C17orf78,CTC-268N12.3,RP11-445F12.1,CTD-3194G12.1,CTD-3194G12.2,LHX1,DDX52,TADA2A,RP11-378E13.4,HNF1B,HMGB1P24,RP11-697E22.1,RP11-697E22.3,RP11-697E22.2,CTC-421K24.1,CTB-75G16.1,ZNHIT3,MRM1,ACACA,CTB-75G16.3,MIR2909,DHRS11,YWHAEP7,RP11-378E13.3,CTC-268N12.2,PIGW,DUSP14,RP11-333J10.2,RP11-333J10.3,RP11-19G24.2,RP11-19G24.1,AATF,MYO19,AC091199.1,RP11-115K3.1,GGNBP2 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/70/PP0270/vcf/PP0270.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 34842342 zgrep RP11-445F12.2,RNA5SP439,SYNRG,C17orf78,CTC-268N12.3,RP11-445F12.1,CTD-3194G12.1,CTD-3194G12.2,LHX1,DDX52,TADA2A,RP11-378E13.4,HNF1B,HMGB1P24,RP11-697E22.1,RP11-697E22.3,RP11-697E22.2,CTC-421K24.1,CTB-75G16.1,ZNHIT3,MRM1,ACACA,CTB-75G16.3,MIR2909,DHRS11,YWHAEP7,RP11-378E13.3,CTC-268N12.2,PIGW,DUSP14,RP11-333J10.2,RP11-333J10.3,RP11-19G24.2,RP11-19G24.1,AATF,MYO19,AC091199.1,RP11-115K3.1,GGNBP2 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/70/PP0270/vcf/PP0270.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 34842342 zgrep TSSK1A,LINC00896,CRKL,KRT18P62,DGCR9,DGCR8,SLC9A3P2,BCRP5,RNU6-225P,XXbac-B444P24.14,TMEM191A,DGCR5,XXbac-B444P24.13,XXbac-B444P24.10,DGCR6,XXbac-B135H6.18,AC000067.1,RTN4R,XXbac-B135H6.15,GSC2,Y_RNA,SLC25A1,AC007731.1,MIR1286,SNAP29,AC006547.13,SMPD4P1,MRPL40,LZTR1,SLC7A4,MIR3618,AC000078.5,TANGO2,AC000081.2,SEPT5,CA15P1,CA15P2,AC002472.1,RNY1P9,POM121L4P,AC007050.18,USP41,AC000095.9,XXbac-B33L19.10,DGCR6L,ZNF74,AC007050.1,AC006547.14,AC006547.15,TXNRD2,CLDN5,GGTLC3,AC004471.10,AC000068.10,MIR4761,CDC45,RN7SL168P,SNORA77,MIR1306,SERPIND1,ZDHHC8,PRODH,C22orf29,TUBA3FP,AIFM3,ABHD17AP4,DGCR2,PI4KA,AC007326.9,KRT18P5,TBX1,FAM230A,P2RX6P,AC000077.2,RN7SL812P,XXbac-B33L19.4,XXbac-B33L19.6,XXbac-B33L19.3,GP1BB,AC007308.6,AC007308.7,C22orf39,RANBP1,PI4KAP1,TSSK2,ARVCF,MIR185,AC007050.17,COMT,AC004461.4,AC011718.2,AC011718.3,AC011718.1,SCARF2,HIRA,AC023490.1,AC023490.2,SCARNA17,AC002472.11,AC006547.8,AC002472.13,SCARNA18,RN7SL389P,GNB1L,AC000068.9,TRMT2A,RN7SKP131,AC000068.5,KLHL22,RIMBP3,SNORA15,AC004463.6,MED15,P2RX6,AC004471.9,snoU13,MIR649,CLTCL1,XXbac-B444P24.8,THAP7-AS1,XXbac-B562F10.11,THAP7,AC000089.3,DGCR11,DGCR10,DGCR14,PPP1R26P2,PPP1R26P3,UFD1L /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/02/25/PP0225/vcf/PP0225.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 18893860 zgrep CHRNA1 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/03/03/PP0303/vcf/PP0303.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 175614789 zgrep CHRNA1 /lustre/scratch115/realdata/mdt3/projects/pagedata/data_freezes/2015-09-03/PP/03/03/PP0303/vcf/PP0303.uber_vep_tabix_qc.2015-11-11.vcf.gz | grep 175619069 """

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0.097043

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1

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null

0

1

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5

d4607c90fb8ba57aec697a1345e7065e545e7f18

550

py

Python

src/raw/hm_generation/test_level_curves.py

Leikt/map_generator

86c6359ed84056f32642cb7e23db855beba62923

[ "MIT" ]

1

2021-06-09T10:02:04.000Z

src/raw/hm_generation/test_level_curves.py

Leikt/map_generator

86c6359ed84056f32642cb7e23db855beba62923

[ "MIT" ]

null

src/raw/hm_generation/test_level_curves.py

Leikt/map_generator

86c6359ed84056f32642cb7e23db855beba62923

[ "MIT" ]

null

#! /usr/bin/env python3 # coding: utf-8 import logging import random import numpy as np from src.helpers.chrono import chrono DATA = [ [3,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,3,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1,1,4], ] @chrono def generate(parameters: object, width: int, height: int, seed: int) -> object: heightmap = np.array(DATA) return heightmap

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0.545455

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550

2.142857

0.228571

0.633333

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1.213333

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0.226667

0.181818

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21.153846

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false

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0.2

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0.3

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null

1

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1

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1

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null

0

5

d4658050abdee14c93f40b2c001c101d467a8da9

80

py

Python

MHD/FEniCS/MyPackage/PackageName/Assemble/__init__.py

wathen/PhD

35524f40028541a4d611d8c78574e4cf9ddc3278

[ "MIT" ]

3

2020-10-25T13:30:20.000Z

2021-08-10T21:27:30.000Z

MHD/FEniCS/MyPackage/PackageName/Assemble/__init__.py

wathen/PhD

35524f40028541a4d611d8c78574e4cf9ddc3278

[ "MIT" ]

null

MHD/FEniCS/MyPackage/PackageName/Assemble/__init__.py

wathen/PhD

35524f40028541a4d611d8c78574e4cf9ddc3278

[ "MIT" ]

3

2019-10-28T16:12:13.000Z

2020-01-13T13:59:44.000Z

from SystemAssemble import * from InitialGuess import * from NonLinTol import *

20

28

0.8125

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7.222222

0.555556

0.307692

0

0.15

80

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26.666667

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true

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1

0

null

0

1

0

1

0

5

d4796ffbe1ec1b769e170295a176fd57dadaa4e4

57

py

Python

intro/a-hello.py

jwrr/python-stuff

7be2a408b751fe6636537d478296350256e2f133

[ "MIT" ]

null

intro/a-hello.py

jwrr/python-stuff

7be2a408b751fe6636537d478296350256e2f133

[ "MIT" ]

null

intro/a-hello.py

jwrr/python-stuff

7be2a408b751fe6636537d478296350256e2f133

[ "MIT" ]

null

#!/usr/bin/python3 import sys print('Hello, World!')

7.125

22

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57

4.625

1

0

0.020833

0.157895

57

7

23

8.142857

0.75

0.298246

0

0.351351

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2e0557b2f3ec02f66e7f5b1df03aae704994c4b9

158

py

Python

503-Triggering-Lambda-Functions-on-a-Schedule/lambda_function.py

AWSCookbook/Serverless

ad39607b2901774b99056505e0ed03386c10ef7e

[ "MIT" ]

5

2021-12-16T19:21:12.000Z

2022-02-10T02:23:16.000Z

503-Triggering-Lambda-Functions-on-a-Schedule/lambda_function.py

AWSCookbook/Serverless

ad39607b2901774b99056505e0ed03386c10ef7e

[ "MIT" ]

null

503-Triggering-Lambda-Functions-on-a-Schedule/lambda_function.py

AWSCookbook/Serverless

ad39607b2901774b99056505e0ed03386c10ef7e

[ "MIT" ]

4

2021-11-25T13:42:24.000Z

2022-02-25T06:53:11.000Z

import os from datetime import datetime def lambda_handler(event, context): print('AWS Cookbook Lambda function run at {}'.format(str(datetime.now())))

22.571429

79

0.746835

22

158

5.318182

0.818182

0

0.139241

158

6

80

26.333333

0.860294

0

0.240506

0

1

0.25

false

0

0.5

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2e5499770c3dccc0537f2ea2f2a637787686ec42

271

py

Python

tests/roots/test-ext-autodoc/target/docstring_signature.py

hatchermarie2/sphinx

204564549cae0d2fc88ea270df8dde0535277a70

[ "BSD-2-Clause" ]

1

2020-12-03T18:37:30.000Z

tests/roots/test-ext-autodoc/target/docstring_signature.py

hatchermarie2/sphinx

204564549cae0d2fc88ea270df8dde0535277a70

[ "BSD-2-Clause" ]

4

2019-11-05T16:18:23.000Z

2022-03-02T11:13:20.000Z

tests/roots/test-ext-autodoc/target/docstring_signature.py

hatchermarie2/sphinx

204564549cae0d2fc88ea270df8dde0535277a70

[ "BSD-2-Clause" ]

1

2019-11-05T15:21:55.000Z

class A: """A(foo, bar)""" class B: """B(foo, bar)""" def __init__(self): """B(foo, bar, baz)""" class C: """C(foo, bar)""" def __new__(cls): """C(foo, bar, baz)""" class D: def __init__(self): """D(foo, bar, baz)"""

13.55

30

0.435424

38

271

2.789474

0.342105

0.339623

0.254717

0.264151

0

0.306273

271

19

31

14.263158

0.56383

0.317343

0

0.285714

0

1

0.428571

false

0

1

0

null

1

0

null

0

1

0

1

0

5

2e6370380e1bc57baba6d277f231ee16c4dc7578

101

py

Python

ufora/FORA/python/PurePython/testModules/import_example/B.py

ufora/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

571

2015-11-05T20:07:07.000Z

2022-01-24T22:31:09.000Z

ufora/FORA/python/PurePython/testModules/import_example/B.py

timgates42/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

218

2015-11-05T20:37:55.000Z

2021-05-30T03:53:50.000Z

ufora/FORA/python/PurePython/testModules/import_example/B.py

timgates42/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

40

2015-11-07T21:42:19.000Z

2021-05-23T03:48:19.000Z

import ufora.FORA.python.PurePython.testModules.import_example.A as A def f(x): return A.C.g(x)

20.2

69

0.742574

19

101

3.894737

0.789474

0

0.128713

101

4

70

25.25

0.840909

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5cf53c5f1d898d236ac6edb281000a1a27e35aa8

80

py

Python

tf_label.py

yashpatel5400/dl-playground

acf71dab5bb29b253bb28b966115d72d18b76a8e

[ "MIT" ]

null

tf_label.py

yashpatel5400/dl-playground

acf71dab5bb29b253bb28b966115d72d18b76a8e

[ "MIT" ]

null

tf_label.py

yashpatel5400/dl-playground

acf71dab5bb29b253bb28b966115d72d18b76a8e

[ "MIT" ]

1

2018-01-15T03:56:22.000Z

""" classic labelling of images done in Tensorflow """ import tensorflow as tf

13.333333

46

0.75

11

80

5.454545

0.909091

0

0.175

80

5

47

16

0.909091

0.575

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5cfc17aba7028bfa1f434dc21ee1e679bee882bb

36

py

Python

tests/__init__.py

robotics-4-all/goalee

a50185b51ccc28caf1f5dd3ba8603a35b8f0eebb

[ "MIT" ]

null

tests/__init__.py

robotics-4-all/goalee

a50185b51ccc28caf1f5dd3ba8603a35b8f0eebb

[ "MIT" ]

null

tests/__init__.py

robotics-4-all/goalee

a50185b51ccc28caf1f5dd3ba8603a35b8f0eebb

[ "MIT" ]

null

"""Unit test package for goalee."""

18

35

0.666667

5

36

4.8

1

0

0.138889

36

1

36

0.774194

0.805556

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

cf108751f2e11fe6a71c4313621abdabe48c7803

1,096

py

Python

Lib/graph/AxisDisplay.py

jeamick/ares-visual

3cf5068f874b3f6fe898968b2a7efa86fadca99d

[ "MIT" ]

null

Lib/graph/AxisDisplay.py

jeamick/ares-visual

3cf5068f874b3f6fe898968b2a7efa86fadca99d

[ "MIT" ]

2

2019-03-27T00:36:09.000Z

2019-04-09T00:39:12.000Z

Lib/graph/AxisDisplay.py

jeamick/ares-visual

3cf5068f874b3f6fe898968b2a7efa86fadca99d

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # author: Olivier Noguès DISPLAYS = {'TIMESTAMP': {'tickFormat': "function(d) { return d3.time.format('%%x')(new Date(d)) }"}, 'FLOAT': {'tickFormat': "function(d) { return d3.format(',.%(digits)sf')(d) }"}, 'K': {'tickFormat': "function(d) { return d3.format(',.%(digits)sf')(d / 1000) + 'K' }", 'labelString': '1K = 1000'}, 'M': {'tickFormat': "function(d) { return d3.format(',.%(digits)sf')(d / 1000000) + 'Mio'}", 'labelString': '1Mio = 1000000'}, 'G': {'tickFormat': "function(d) { return d3.format(',.%(digits)sf')(d / 1000000000) + 'G'}", 'labelString': '1G = 1000000000'}, '%': {'tickFormat': "function(d) { return d3.format(',.%(digits)s%')(d) }"}, 'INT': {'tickFormat': "function(d) { return d3.format(',')(d) }"}, 'MONTH': {'tickValues': "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]", 'tickFormat': 'function(d){ return months[d] }'}, 'DAYS': {'tickValues': "[0, 1, 2, 3, 4, 5, 6]", 'tickFormat': 'function(d){ return months[d] }'}, }

68.5

136

0.515511

131

1,096

4.312977

0.412214

0.286726

0.302655

0.39823

0.646018

0.59823

0.426549

0.357522

0.297345

0

0.087156

0.20438

1,096

16

137

68.5

0.56078

0.059307

0

0.166667

0

0.333333

0.730769

0.164694

0

1

0

false

0

null

1

0

1

0

null

0

5

cf15a5a884a752757087e12b7d4a7552aa38a5be

98

py

Python

modules/__init__.py

sungyihsun/meta-transfer-learning

b96dfdfcdcdbdc553139b5abe42cf045e33e1f57

[ "MIT" ]

null

modules/__init__.py

sungyihsun/meta-transfer-learning

b96dfdfcdcdbdc553139b5abe42cf045e33e1f57

[ "MIT" ]

null

modules/__init__.py

sungyihsun/meta-transfer-learning

b96dfdfcdcdbdc553139b5abe42cf045e33e1f57

[ "MIT" ]

null

from .encoder import Encoder from .decoder import Decoder from .discriminator import Discriminator

32.666667

40

0.857143

12

98

7

0.416667

0

0.112245

98

3

40

32.666667

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cf5044ba0032e131c908b1d912fc172c3e766fe1

3,225

py

Python

python/printcolors.py

liweitianux/atoolbox

88d85c80d025e0fd6b7c8fad155dc3a1cdc8b992

[ "MIT" ]

4

2016-05-28T02:14:39.000Z

2019-07-10T06:58:33.000Z

python/printcolors.py

liweitianux/atoolbox

88d85c80d025e0fd6b7c8fad155dc3a1cdc8b992

[ "MIT" ]

1

2020-06-15T04:06:40.000Z

python/printcolors.py

liweitianux/atoolbox

88d85c80d025e0fd6b7c8fad155dc3a1cdc8b992

[ "MIT" ]

3

2018-11-27T12:34:35.000Z

2020-08-20T01:03:48.000Z

#!/usr/bin/env python3 # Credit: https://www.geeksforgeeks.org/print-colors-python-terminal/ class colors: reset = '\033[0m' bold = '\033[01m' disable = '\033[02m' underline = '\033[04m' reverse = '\033[07m' strikethrough = '\033[09m' invisible = '\033[08m' class fg: black = '\033[30m' red = '\033[31m' green = '\033[32m' orange = '\033[33m' blue = '\033[34m' purple = '\033[35m' cyan = '\033[36m' lightgray = '\033[37m' darkgray = '\033[90m' lightred = '\033[91m' lightgreen = '\033[92m' yellow = '\033[93m' lightblue = '\033[94m' pink = '\033[95m' lightcyan = '\033[96m' class bg: black = '\033[40m' red = '\033[41m' green = '\033[42m' orange = '\033[43m' blue = '\033[44m' purple = '\033[45m' cyan = '\033[46m' lightgray = '\033[47m' if __name__ == '__main__': C = colors text = 'hello world' print(f'{text}') print(f'{C.fg.red}{text}{C.reset}') print(f'{C.fg.green}{text}{C.reset}') print(f'{C.fg.orange}{text}{C.reset}') print(f'{C.fg.blue}{text}{C.reset}') print(f'{C.fg.purple}{text}{C.reset}') print(f'{C.fg.cyan}{text}{C.reset}') print(f'{C.fg.lightgray}{text}{C.reset}') print(f'{C.fg.darkgray}{text}{C.reset}') print(f'{C.fg.lightred}{text}{C.reset}') print(f'{C.fg.lightgreen}{text}{C.reset}') print(f'{C.fg.yellow}{text}{C.reset}') print(f'{C.fg.lightblue}{text}{C.reset}') print(f'{C.fg.pink}{text}{C.reset}') print(f'{C.fg.lightcyan}{text}{C.reset}') print(f'{C.bold}{text}{C.reset}') print(f'{C.bold}{C.fg.red}{text}{C.reset}') print(f'{C.bold}{C.fg.green}{text}{C.reset}') print(f'{C.bold}{C.fg.orange}{text}{C.reset}') print(f'{C.bold}{C.fg.blue}{text}{C.reset}') print(f'{C.bold}{C.fg.purple}{text}{C.reset}') print(f'{C.bold}{C.fg.cyan}{text}{C.reset}') print(f'{C.bold}{C.fg.lightgray}{text}{C.reset}') print(f'{C.bold}{C.fg.darkgray}{text}{C.reset}') print(f'{C.bold}{C.fg.lightred}{text}{C.reset}') print(f'{C.bold}{C.fg.lightgreen}{text}{C.reset}') print(f'{C.bold}{C.fg.yellow}{text}{C.reset}') print(f'{C.bold}{C.fg.lightblue}{text}{C.reset}') print(f'{C.bold}{C.fg.pink}{text}{C.reset}') print(f'{C.bold}{C.fg.lightcyan}{text}{C.reset}') print(f'{C.reverse}{text}{C.reset}') print(f'{C.reverse}{C.fg.red}{text}{C.reset}') print(f'{C.reverse}{C.fg.green}{text}{C.reset}') print(f'{C.reverse}{C.fg.orange}{text}{C.reset}') print(f'{C.reverse}{C.fg.blue}{text}{C.reset}') print(f'{C.reverse}{C.fg.purple}{text}{C.reset}') print(f'{C.reverse}{C.fg.cyan}{text}{C.reset}') print(f'{C.reverse}{C.fg.lightgray}{text}{C.reset}') print(f'{C.reverse}{C.fg.darkgray}{text}{C.reset}') print(f'{C.reverse}{C.fg.lightred}{text}{C.reset}') print(f'{C.reverse}{C.fg.lightgreen}{text}{C.reset}') print(f'{C.reverse}{C.fg.yellow}{text}{C.reset}') print(f'{C.reverse}{C.fg.lightblue}{text}{C.reset}') print(f'{C.reverse}{C.fg.pink}{text}{C.reset}') print(f'{C.reverse}{C.fg.lightcyan}{text}{C.reset}')

35.43956

69

0.562481

526

3,225

3.43346

0.146388

0.149502

0.170543

0.357143

0.715393

0.704873

0.698782

0

0.05654

0.177364

3,225

90

70

35.833333

0.624199

0.027597

0

0.566688

0.482451

0

1

0

false

0

0.123457

0.555556

0

null

0

1

0

1

0

1

null

0

1

0

5

d8a3a74fad16fec47235a9d823f25cc5971f4c22

151

py

Python

E2_6/MoreAsciiiArt.py

AidaNajafi/AidaNajafi.github.io

a5d86dc67a1d272794586e0a5c612a3893b75e69

[ "Apache-2.0" ]

null

E2_6/MoreAsciiiArt.py

AidaNajafi/AidaNajafi.github.io

a5d86dc67a1d272794586e0a5c612a3893b75e69

[ "Apache-2.0" ]

null

E2_6/MoreAsciiiArt.py

AidaNajafi/AidaNajafi.github.io

a5d86dc67a1d272794586e0a5c612a3893b75e69

[ "Apache-2.0" ]

null

def print_left_triangle(n): for i in range(n): print("%"*i) for j in range(i+1): print("*"*j) print_left_triangle(4)

16.777778

28

0.529801

24

151

3.166667

0.5

0.236842

0.447368

0

0.019231

0.311258

151

8

29

18.875

0.711538

0

0.013245

0

1

0.166667

false

0

0.166667

0.666667

1

0

null

1

0

1

0

null

0

1

0

5

d8c58bfa7fdd8b3334e66d386359e8af67f5a8ee

27,479

py

Python

spark_fhir_schemas/stu3/complex_types/plandefinition_action.py

icanbwell/SparkFhirSchemas

8c828313c39850b65f8676e67f526ee92b7d624e

[ "Apache-2.0" ]

2

2020-10-31T23:25:01.000Z

2021-06-09T14:12:42.000Z

spark_fhir_schemas/stu3/complex_types/plandefinition_action.py

icanbwell/SparkFhirSchemas

8c828313c39850b65f8676e67f526ee92b7d624e

[ "Apache-2.0" ]

null

spark_fhir_schemas/stu3/complex_types/plandefinition_action.py

icanbwell/SparkFhirSchemas

8c828313c39850b65f8676e67f526ee92b7d624e

[ "Apache-2.0" ]

null

from typing import Union, List, Optional from pyspark.sql.types import ( StructType, StructField, StringType, ArrayType, DataType, TimestampType, ) # This file is auto-generated by generate_schema so do not edit manually # noinspection PyPep8Naming class PlanDefinition_ActionSchema: """ This resource allows for the definition of various types of plans as a sharable, consumable, and executable artifact. The resource is general enough to support the description of a broad range of clinical artifacts such as clinical decision support rules, order sets and protocols. """ # noinspection PyDefaultArgument @staticmethod def get_schema( max_nesting_depth: Optional[int] = 6, nesting_depth: int = 0, nesting_list: List[str] = [], max_recursion_limit: Optional[int] = 2, include_extension: Optional[bool] = False, extension_fields: Optional[List[str]] = [ "valueBoolean", "valueCode", "valueDate", "valueDateTime", "valueDecimal", "valueId", "valueInteger", "valuePositiveInt", "valueString", "valueTime", "valueUnsignedInt", "valueUri", "valueQuantity", ], extension_depth: int = 0, max_extension_depth: Optional[int] = 2, ) -> Union[StructType, DataType]: """ This resource allows for the definition of various types of plans as a sharable, consumable, and executable artifact. The resource is general enough to support the description of a broad range of clinical artifacts such as clinical decision support rules, order sets and protocols. id: unique id for the element within a resource (for internal references). This may be any string value that does not contain spaces. extension: May be used to represent additional information that is not part of the basic definition of the element. In order to make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. label: A user-visible label for the action. title: The title of the action displayed to a user. description: A short description of the action used to provide a summary to display to the user. textEquivalent: A text equivalent of the action to be performed. This provides a human- interpretable description of the action when the definition is consumed by a system that may not be capable of interpreting it dynamically. code: A code that provides meaning for the action or action group. For example, a section may have a LOINC code for a the section of a documentation template. reason: A description of why this action is necessary or appropriate. documentation: Didactic or other informational resources associated with the action that can be provided to the CDS recipient. Information resources can include inline text commentary and links to web resources. goalId: Identifies goals that this action supports. The reference must be to a goal element defined within this plan definition. triggerDefinition: A description of when the action should be triggered. condition: An expression that describes applicability criteria, or start/stop conditions for the action. input: Defines input data requirements for the action. output: Defines the outputs of the action, if any. relatedAction: A relationship to another action such as "before" or "30-60 minutes after start of". timingDateTime: An optional value describing when the action should be performed. timingPeriod: An optional value describing when the action should be performed. timingDuration: An optional value describing when the action should be performed. timingRange: An optional value describing when the action should be performed. timingTiming: An optional value describing when the action should be performed. participant: Indicates who should participate in performing the action described. type: The type of action to perform (create, update, remove). groupingBehavior: Defines the grouping behavior for the action and its children. selectionBehavior: Defines the selection behavior for the action and its children. requiredBehavior: Defines the requiredness behavior for the action. precheckBehavior: Defines whether the action should usually be preselected. cardinalityBehavior: Defines whether the action can be selected multiple times. definition: A reference to an ActivityDefinition that describes the action to be taken in detail, or a PlanDefinition that describes a series of actions to be taken. transform: A reference to a StructureMap resource that defines a transform that can be executed to produce the intent resource using the ActivityDefinition instance as the input. dynamicValue: Customizations that should be applied to the statically defined resource. For example, if the dosage of a medication must be computed based on the patient's weight, a customization would be used to specify an expression that calculated the weight, and the path on the resource that would contain the result. action: Sub actions that are contained within the action. The behavior of this action determines the functionality of the sub-actions. For example, a selection behavior of at-most-one indicates that of the sub-actions, at most one may be chosen as part of realizing the action definition. """ from spark_fhir_schemas.stu3.complex_types.extension import ExtensionSchema from spark_fhir_schemas.stu3.complex_types.codeableconcept import ( CodeableConceptSchema, ) from spark_fhir_schemas.stu3.complex_types.relatedartifact import ( RelatedArtifactSchema, ) from spark_fhir_schemas.stu3.complex_types.triggerdefinition import ( TriggerDefinitionSchema, ) from spark_fhir_schemas.stu3.complex_types.plandefinition_condition import ( PlanDefinition_ConditionSchema, ) from spark_fhir_schemas.stu3.complex_types.datarequirement import ( DataRequirementSchema, ) from spark_fhir_schemas.stu3.complex_types.plandefinition_relatedaction import ( PlanDefinition_RelatedActionSchema, ) from spark_fhir_schemas.stu3.complex_types.period import PeriodSchema from spark_fhir_schemas.stu3.complex_types.duration import DurationSchema from spark_fhir_schemas.stu3.complex_types.range import RangeSchema from spark_fhir_schemas.stu3.complex_types.timing import TimingSchema from spark_fhir_schemas.stu3.complex_types.plandefinition_participant import ( PlanDefinition_ParticipantSchema, ) from spark_fhir_schemas.stu3.complex_types.coding import CodingSchema from spark_fhir_schemas.stu3.complex_types.reference import ReferenceSchema from spark_fhir_schemas.stu3.complex_types.plandefinition_dynamicvalue import ( PlanDefinition_DynamicValueSchema, ) if ( max_recursion_limit and nesting_list.count("PlanDefinition_Action") >= max_recursion_limit ) or (max_nesting_depth and nesting_depth >= max_nesting_depth): return StructType([StructField("id", StringType(), True)]) # add my name to recursion list for later my_nesting_list: List[str] = nesting_list + ["PlanDefinition_Action"] schema = StructType( [ # unique id for the element within a resource (for internal references). This # may be any string value that does not contain spaces. StructField("id", StringType(), True), # May be used to represent additional information that is not part of the basic # definition of the element. In order to make the use of extensions safe and # manageable, there is a strict set of governance applied to the definition and # use of extensions. Though any implementer is allowed to define an extension, # there is a set of requirements that SHALL be met as part of the definition of # the extension. StructField( "extension", ArrayType( ExtensionSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # A user-visible label for the action. StructField("label", StringType(), True), # The title of the action displayed to a user. StructField("title", StringType(), True), # A short description of the action used to provide a summary to display to the # user. StructField("description", StringType(), True), # A text equivalent of the action to be performed. This provides a human- # interpretable description of the action when the definition is consumed by a # system that may not be capable of interpreting it dynamically. StructField("textEquivalent", StringType(), True), # A code that provides meaning for the action or action group. For example, a # section may have a LOINC code for a the section of a documentation template. StructField( "code", ArrayType( CodeableConceptSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # A description of why this action is necessary or appropriate. StructField( "reason", ArrayType( CodeableConceptSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # Didactic or other informational resources associated with the action that can # be provided to the CDS recipient. Information resources can include inline # text commentary and links to web resources. StructField( "documentation", ArrayType( RelatedArtifactSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # Identifies goals that this action supports. The reference must be to a goal # element defined within this plan definition. StructField("goalId", ArrayType(StringType()), True), # A description of when the action should be triggered. StructField( "triggerDefinition", ArrayType( TriggerDefinitionSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # An expression that describes applicability criteria, or start/stop conditions # for the action. StructField( "condition", ArrayType( PlanDefinition_ConditionSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # Defines input data requirements for the action. StructField( "input", ArrayType( DataRequirementSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # Defines the outputs of the action, if any. StructField( "output", ArrayType( DataRequirementSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # A relationship to another action such as "before" or "30-60 minutes after # start of". StructField( "relatedAction", ArrayType( PlanDefinition_RelatedActionSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # An optional value describing when the action should be performed. StructField("timingDateTime", TimestampType(), True), # An optional value describing when the action should be performed. StructField( "timingPeriod", PeriodSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # An optional value describing when the action should be performed. StructField( "timingDuration", DurationSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # An optional value describing when the action should be performed. StructField( "timingRange", RangeSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # An optional value describing when the action should be performed. StructField( "timingTiming", TimingSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # Indicates who should participate in performing the action described. StructField( "participant", ArrayType( PlanDefinition_ParticipantSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # The type of action to perform (create, update, remove). StructField( "type", CodingSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # Defines the grouping behavior for the action and its children. StructField("groupingBehavior", StringType(), True), # Defines the selection behavior for the action and its children. StructField("selectionBehavior", StringType(), True), # Defines the requiredness behavior for the action. StructField("requiredBehavior", StringType(), True), # Defines whether the action should usually be preselected. StructField("precheckBehavior", StringType(), True), # Defines whether the action can be selected multiple times. StructField("cardinalityBehavior", StringType(), True), # A reference to an ActivityDefinition that describes the action to be taken in # detail, or a PlanDefinition that describes a series of actions to be taken. StructField( "definition", ReferenceSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # A reference to a StructureMap resource that defines a transform that can be # executed to produce the intent resource using the ActivityDefinition instance # as the input. StructField( "transform", ReferenceSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # Customizations that should be applied to the statically defined resource. For # example, if the dosage of a medication must be computed based on the patient's # weight, a customization would be used to specify an expression that calculated # the weight, and the path on the resource that would contain the result. StructField( "dynamicValue", ArrayType( PlanDefinition_DynamicValueSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # Sub actions that are contained within the action. The behavior of this action # determines the functionality of the sub-actions. For example, a selection # behavior of at-most-one indicates that of the sub-actions, at most one may be # chosen as part of realizing the action definition. StructField( "action", ArrayType( PlanDefinition_ActionSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), ] ) if not include_extension: schema.fields = [ c if c.name != "extension" else StructField("extension", StringType(), True) for c in schema.fields ] return schema

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0.553659

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0.131663

0.066258

0.041922

0.062168

0.799796

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0.79441

0.752829

0.727198

0.695774

0

0.003359

0.404163

27,479

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49.871143

0.892628

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false

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0.054404

0

null

0

1

0

null

0

5

d8d77a9aca9d5ca16392d0a4536f363d1cd5c254

2,012

py

Python

terrascript/resource/selectel/selectel.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/resource/selectel/selectel.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/resource/selectel/selectel.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/resource/selectel/selectel.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:26:31 UTC) import terrascript class selectel_dbaas_database_v1(terrascript.Resource): pass class selectel_dbaas_datastore_v1(terrascript.Resource): pass class selectel_dbaas_extension_v1(terrascript.Resource): pass class selectel_dbaas_grant_v1(terrascript.Resource): pass class selectel_dbaas_user_v1(terrascript.Resource): pass class selectel_domains_domain_v1(terrascript.Resource): pass class selectel_domains_record_v1(terrascript.Resource): pass class selectel_mks_cluster_v1(terrascript.Resource): pass class selectel_mks_nodegroup_v1(terrascript.Resource): pass class selectel_vpc_crossregion_subnet_v2(terrascript.Resource): pass class selectel_vpc_floatingip_v2(terrascript.Resource): pass class selectel_vpc_keypair_v2(terrascript.Resource): pass class selectel_vpc_license_v2(terrascript.Resource): pass class selectel_vpc_project_v2(terrascript.Resource): pass class selectel_vpc_role_v2(terrascript.Resource): pass class selectel_vpc_subnet_v2(terrascript.Resource): pass class selectel_vpc_token_v2(terrascript.Resource): pass class selectel_vpc_user_v2(terrascript.Resource): pass class selectel_vpc_vrrp_subnet_v2(terrascript.Resource): pass __all__ = [ "selectel_dbaas_database_v1", "selectel_dbaas_datastore_v1", "selectel_dbaas_extension_v1", "selectel_dbaas_grant_v1", "selectel_dbaas_user_v1", "selectel_domains_domain_v1", "selectel_domains_record_v1", "selectel_mks_cluster_v1", "selectel_mks_nodegroup_v1", "selectel_vpc_crossregion_subnet_v2", "selectel_vpc_floatingip_v2", "selectel_vpc_keypair_v2", "selectel_vpc_license_v2", "selectel_vpc_project_v2", "selectel_vpc_role_v2", "selectel_vpc_subnet_v2", "selectel_vpc_token_v2", "selectel_vpc_user_v2", "selectel_vpc_vrrp_subnet_v2", ]

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0.784294

253

2,012

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0.260989

0.300137

0.346154

0.594093

0.526099

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0.06456

0

0.028935

0.141153

2,012

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0.813657

0.056163

0

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0.316667

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null

1

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1

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null

0

1

0

5

d8e0f1b2fe03d6ce11609874936328987ab1e0a9

91

py

Python

oneshot/ignite/handlers/__init__.py

nganltp/admicro-LaSO

857d67a40af437ab57068fb0de35e4ada56c6209

[ "BSD-3-Clause" ]

83

2019-04-14T06:58:15.000Z

2022-03-01T01:34:03.000Z

oneshot/ignite/handlers/__init__.py

leokarlin/LaSO

8941bdc9316361ad03dbc2bcabd4bf9922c0ecc7

[ "BSD-3-Clause" ]

17

2019-04-28T04:26:24.000Z

2022-01-19T15:37:42.000Z

oneshot/ignite/handlers/__init__.py

nganltp/admicro-LaSO

857d67a40af437ab57068fb0de35e4ada56c6209

[ "BSD-3-Clause" ]

15

2019-09-05T04:22:10.000Z

2022-01-13T15:31:25.000Z

from .param_scheduler import ManualParamScheduler from .find_learning_rate import LRFinder

45.5

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null

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1

0

1

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1

0

5

9918b98160d81c07ac3345e699f045ef2411d605

17,128

py

Python

tests/test_map_mods.py

computational-ms/py-unimod-mapper

58382a78640d88e5753565c8c823fe50ddcfb0be

[ "MIT" ]

null

tests/test_map_mods.py

computational-ms/py-unimod-mapper

58382a78640d88e5753565c8c823fe50ddcfb0be

[ "MIT" ]

null

tests/test_map_mods.py

computational-ms/py-unimod-mapper

58382a78640d88e5753565c8c823fe50ddcfb0be

[ "MIT" ]

null

from unimod_mapper import UnimodMapper import numpy as np mod_dict = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "name": "Oxidation", }, { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", }, { "aa": "*", "type": "opt", "position": "Prot-N-term", "name": "Acetyl", }, ] }, } mod_dict_not_in_unimod = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "name": "Yadailation", }, { "aa": "C", "type": "fix", "position": "any", "name": "Yadailation", }, ] }, } mod_dict_id = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "id": 35, }, { "aa": "C", "type": "fix", "position": "any", "id": 4, }, { "aa": "*", "type": "opt", "position": "Prot-N-term", "id": "1", }, ] }, } mod_dict_id_not_in_unimod = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "id": 987654321, }, { "aa": "C", "type": "fix", "position": "any", "id": 123456789, }, ] }, } mod_dict_nl = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "name": "Oxidation", "neutral_loss": 0.0, }, { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", "neutral_loss": "unimod", }, { "aa": "M", "type": "fix", "position": "any", "name": "Carbamidomethyl", "neutral_loss": "unimod", }, ] }, } mod_dict_name_id = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "name": "Oxidation", "id": "35", }, { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", "id": "4", }, { "aa": "*", "type": "opt", "position": "Prot-N-term", "name": "Acetyl", "id": "1", }, ] }, } mod_dict_name_wrong_id = { "ufiles": "", "parameters": { "modifications": [ { "aa": "M", "type": "opt", "position": "any", "name": "Oxidation", "id": "3567", }, { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", "id": "4567", }, { "aa": "*", "type": "opt", "position": "Prot-N-term", "name": "Acetyl", "id": "1", # only this one is correct }, ] }, } unimod_dict = { "fix": [ { "aa": "C", "position": "any", "name": "Carbamidomethyl", "mass": 57.021464, "composition": {"H": 3, "C": 2, "N": 1, "O": 1}, "id": "4", "neutral_loss": None, "_id": 1, "org": { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", }, "unimod": True, } ], "opt": [ { "aa": "M", "position": "any", "name": "Oxidation", "mass": 15.994915, "composition": {"O": 1}, "id": "35", "neutral_loss": None, "_id": 0, "org": {"aa": "M", "type": "opt", "position": "any", "name": "Oxidation"}, "unimod": True, }, { "aa": "*", "position": "Prot-N-term", "name": "Acetyl", "mass": 42.010565, "composition": {"H": 2, "C": 2, "O": 1}, "id": "1", "neutral_loss": None, "_id": 2, "org": { "aa": "*", "type": "opt", "position": "Prot-N-term", "name": "Acetyl", }, "unimod": True, }, ], } unimod_dict_id = { "fix": [ { "aa": "C", "position": "any", "name": "Carbamidomethyl", "mass": 57.021464, "composition": {"H": 3, "C": 2, "N": 1, "O": 1}, "id": "4", "neutral_loss": None, "_id": 1, "org": {"aa": "C", "type": "fix", "position": "any", "id": "4"}, "unimod": True, } ], "opt": [ { "aa": "M", "position": "any", "name": "Oxidation", "mass": 15.994915, "composition": {"O": 1}, "id": "35", "neutral_loss": None, "_id": 0, "org": {"aa": "M", "type": "opt", "position": "any", "id": "35"}, "unimod": True, }, { "aa": "*", "position": "Prot-N-term", "name": "Acetyl", "mass": 42.010565, "composition": {"H": 2, "C": 2, "O": 1}, "id": "1", "neutral_loss": None, "_id": 2, "org": {"aa": "*", "type": "opt", "position": "Prot-N-term", "id": "1"}, "unimod": True, }, ], } unimod_dict_with_nl = { "fix": [ { "aa": "C", "position": "any", "name": "Carbamidomethyl", "mass": 57.021464, "composition": {"H": 3, "C": 2, "N": 1, "O": 1}, "id": "4", "neutral_loss": 0.0, "_id": 1, "org": { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", "neutral_loss": "unimod", }, "unimod": True, }, { "aa": "M", "position": "any", "name": "Carbamidomethyl", "mass": 57.021464, "composition": {"H": 3, "C": 2, "N": 1, "O": 1}, "id": "4", "neutral_loss": 105.024835, "_id": 2, "org": { "aa": "M", "type": "fix", "position": "any", "name": "Carbamidomethyl", "neutral_loss": "unimod", }, "unimod": True, }, ], "opt": [ { "aa": "M", "position": "any", "name": "Oxidation", "mass": 15.994915, "composition": {"O": 1}, "id": "35", "neutral_loss": 0.0, "_id": 0, "org": { "aa": "M", "type": "opt", "position": "any", "name": "Oxidation", "neutral_loss": 0.0, }, "unimod": True, } ], } unimod_dict_name_id = { "fix": [ { "aa": "C", "position": "any", "name": "Carbamidomethyl", "mass": 57.021464, "composition": {"H": 3, "C": 2, "N": 1, "O": 1}, "id": "4", "neutral_loss": None, "_id": 1, "org": { "aa": "C", "type": "fix", "position": "any", "name": "Carbamidomethyl", "id": "4", }, "unimod": True, } ], "opt": [ { "aa": "M", "position": "any", "name": "Oxidation", "mass": 15.994915, "composition": {"O": 1}, "id": "35", "neutral_loss": None, "_id": 0, "org": { "aa": "M", "type": "opt", "position": "any", "name": "Oxidation", "id": "35", }, "unimod": True, }, { "aa": "*", "position": "Prot-N-term", "name": "Acetyl", "mass": 42.010565, "composition": {"H": 2, "C": 2, "O": 1}, "id": "1", "neutral_loss": None, "_id": 2, "org": { "aa": "*", "type": "opt", "position": "Prot-N-term", "name": "Acetyl", "id": "1", }, "unimod": True, }, ], } unimod_dict_name_wrong_id = { "fix": [], "opt": [ { "aa": "*", "position": "Prot-N-term", "name": "Acetyl", "mass": 42.010565, "composition": {"H": 2, "C": 2, "O": 1}, "id": "1", "neutral_loss": None, "_id": 2, "org": { "aa": "*", "type": "opt", "position": "Prot-N-term", "name": "Acetyl", "id": "1", }, "unimod": True, } ], } def test_map_mods_by_name(): _output = UnimodMapper().map_mods(mod_list=mod_dict["parameters"]["modifications"]) assert _output == unimod_dict def test_map_mods_by_name_mod_not_in_unimod(): _output = UnimodMapper().map_mods( mod_list=mod_dict_not_in_unimod["parameters"]["modifications"] ) assert _output == {"fix": [], "opt": []} def test_map_mods_by_id(): _output = UnimodMapper().map_mods( mod_list=mod_dict_id["parameters"]["modifications"] ) assert _output == unimod_dict_id def test_map_mods_mod_not_in_unimod_by_id(): _output = UnimodMapper().map_mods( mod_list=mod_dict_id_not_in_unimod["parameters"]["modifications"] ) assert _output == {"fix": [], "opt": []} def test_map_mods_neutral_loss(): import pprint pprint.pprint(mod_dict_nl["parameters"]["modifications"]) _output = UnimodMapper().map_mods( mod_list=mod_dict_nl["parameters"]["modifications"] ) print("Output") pprint.pprint(_output) print("Expected") pprint.pprint(unimod_dict_with_nl) assert _output == unimod_dict_with_nl def test_map_mods_name_and_id(): _output = UnimodMapper().map_mods( mod_list=mod_dict_name_id["parameters"]["modifications"] ) assert _output == unimod_dict_name_id def test_map_mods_name_and_wrong_id(): _output = UnimodMapper().map_mods( mod_list=mod_dict_name_wrong_id["parameters"]["modifications"] ) assert _output == unimod_dict_name_wrong_id def test_map_TMTpro18(): mapper = UnimodMapper() mapped = mapper.mass_to_names(304.207146, decimals=4) # starts working from 3 on assert list(mapped) == ["TMTpro"] def test_map_composition_to_names(): mapper = UnimodMapper() mapped = mapper.composition_to_names({"C": 1, "O": 1}) assert list(mapped) == ["Formyl", "Ser->Asp", "Thr->Glu"] def test_map_composition_to_ids(): mapper = UnimodMapper() mapped = mapper.composition_to_ids({"C": 1, "O": 1}) assert list(mapped) == ["122", "1196", "1205"] # def test_map_all_masses(): # mapper = UnimodMapper() # for mod_dict in mapper.data_list: # mono_mass = mod_dict["mono_mass"] # name = mod_dict["unimodname"] # mapped_name = mapper.mass_to_names(mono_mass, decimals=5) # assert name in list(mapped_name) def test_map_mod_chemical_composition(): mapper = UnimodMapper() mod_list = [ { "aa": "M", # specify the modified amino acid as a single letter, use '*' if the amino acid is variable "type": "opt", # specify if it is a fixed (fix) or potential (opt) modification "position": "any", # specify the position within the protein/peptide (Prot-N-term, Prot-C-term), use 'any' if the positon is variable "name": "Oxidation", # specify the unimod PSI-MS Name (alternative to id) "id": None, # specify the unimod Accession (alternative to name) "composition": None, # For user-defined mods composition needs to be given as a Hill notation }, { "aa": "T", "type": "fix", "name": "Acetyl", }, ] rdict = mapper.map_mods(mod_list) assert rdict["opt"][0]["composition"] == {"O": 1} assert rdict["fix"][0]["composition"] == {"C": 2, "H": 2, "O": 1} assert rdict["fix"][0]["id"] == "1" def test_map_mod_userdefined_compositions(): mapper = UnimodMapper() mod_list = [ { "aa": "M", # specify the modified amino acid as a single letter, use '*' if the amino acid is variable "type": "opt", # specify if it is a fixed (fix) or potential (opt) modification "position": "any", # specify the position within the protein/peptide (Prot-N-term, Prot-C-term), use 'any' if the positon is variable "name": "TheOneAndOnly", # specify the unimod PSI-MS Name (alternative to id) "composition": { "H": 2, "O": 1, }, # For user-defined mods composition needs to be given as a Hill notation }, ] rdict = mapper.map_mods(mod_list) assert ( len(rdict["opt"]) == 0 ) # cause the name is not a unimod mod, but the composition exists already mod_list = [ { "aa": "M", # specify the modified amino acid as a single letter, use '*' if the amino acid is variable "type": "opt", # specify if it is a fixed (fix) or potential (opt) modification "position": "any", # specify the position within the protein/peptide (Prot-N-term, Prot-C-term), use 'any' if the positon is variable "name": "TheOneAndOnly", # specify the unimod PSI-MS Name (alternative to id) "composition": { "H": 222, "O": 111, }, # For user-defined mods composition needs to be given as a Hill notation }, ] rdict = mapper.map_mods(mod_list) assert rdict["opt"][0]["composition"] == {"H": 222, "O": 111} assert rdict["opt"][0]["name"] == "TheOneAndOnly" def test_map_mod_chemical_composition_fails(): mapper = UnimodMapper() # Using PSI-MS name works mod_list = [ { "aa": "N", "type": "opt", "name": "Ammonia-loss", }, ] rdict = mapper.map_mods(mod_list) assert rdict["opt"][0]["name"] == "Ammonia-loss" # Using Interim name for same ID doesn't work mod_list = [ { "aa": "D", "type": "opt", "name": "N-oxobutanoic", }, ] rdict = mapper.map_mods(mod_list) assert len(rdict["opt"]) == 0 # Using Interim name and ID doesn't work (cause name is checked first) # But using a wrong ID but correct name works (see test_map_mods_name_and_wrong_id) # Seems inconsistent mod_list = [ { "aa": "D", "type": "opt", "name": "N-oxobutanoic", "id": 385, }, ] rdict = mapper.map_mods(mod_list) assert len(rdict["opt"]) == 0 # Using just ID works mod_list = [ { "aa": "D", "type": "opt", "id": 385, }, ] rdict = mapper.map_mods(mod_list) assert rdict["opt"][0]["name"] == "Ammonia-loss" # Using Interim name if PSI MS name doesn't exist works mod_list = [ { "aa": "S", "type": "opt", "name": "Galactosyl", }, ] rdict = mapper.map_mods(mod_list) assert rdict["opt"][0]["composition"] == {"C": 6, "H": 10, "O": 6}

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py

Python

src/modeling/feature_selection/__init__.py

NovaSBE-DSKC/retention-evaluation

5b68b9282f0b5479a9dc5238faef68067c76b861

[ "MIT" ]

null

src/modeling/feature_selection/__init__.py

NovaSBE-DSKC/retention-evaluation

5b68b9282f0b5479a9dc5238faef68067c76b861

[ "MIT" ]

null

src/modeling/feature_selection/__init__.py

NovaSBE-DSKC/retention-evaluation

5b68b9282f0b5479a9dc5238faef68067c76b861

[ "MIT" ]

null

from . import fs00_drop_pipeline1_columns, fs01_all, fs02_drop_agrupamento

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py

Python

metric/__init__.py

DeepLearnXMU/WDCNMT

382db9d376988ff658fff8f99526a5170e95bb91

[ "MIT" ]

34

2018-12-18T08:54:24.000Z

2022-02-04T16:16:26.000Z

metric/__init__.py

DeepLearnXMU/H-RNNSearch

a28cb555984e920e317fc9376cec12924f422f69

[ "MIT" ]

3

2019-03-13T10:38:34.000Z

2020-03-26T09:38:28.000Z

metric/__init__.py

DeepLearnXMU/H-RNNSearch

a28cb555984e920e317fc9376cec12924f422f69

[ "MIT" ]

1

2019-03-31T00:39:51.000Z

# metric/__init__.py # author: Playinf # email: playinf@stu.xmu.edu.cn from bleu import bleu

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py

Python

pyjarowinkler/__init__.py

GustavoPeredo/jaro-winkler-distance

2b97c6fea03e7b469b6065f13c71ce734d1758cf

[ "Apache-2.0" ]

null

pyjarowinkler/__init__.py

GustavoPeredo/jaro-winkler-distance

2b97c6fea03e7b469b6065f13c71ce734d1758cf

[ "Apache-2.0" ]

null

pyjarowinkler/__init__.py

GustavoPeredo/jaro-winkler-distance

2b97c6fea03e7b469b6065f13c71ce734d1758cf

[ "Apache-2.0" ]

null

from sys import version_info from pyjarowinkler import distance if version_info[:2] > (2, 7): from pyjarowinkler import cydistance __author__ = 'Jean-Bernard Ratte - jean.bernard.ratte@unary.ca'

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9972656fd26566a9759c9cae7dd14286d6883272

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py

Python

scripts/by_county_charts.py

jguzman-tech/tamf

6f437ba1d8e4520ee13b71b74e04b23b8f8d4964

[ "Apache-2.0" ]

1

2021-03-15T19:49:03.000Z

scripts/by_county_charts.py

jguzman-tech/tamf

6f437ba1d8e4520ee13b71b74e04b23b8f8d4964

[ "Apache-2.0" ]

null

scripts/by_county_charts.py

jguzman-tech/tamf

6f437ba1d8e4520ee13b71b74e04b23b8f8d4964

[ "Apache-2.0" ]

null

from tamf.utility import * import os.path if __name__ == '__main__': create_aggregate_bar_chart(1, './plots/category_subplots_by_county.png', './plots/category_subplots_aggregate.png')

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null

0

1

0

1

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5

51087f116a7bcfbdc002044967db617850c61faf

189

py

Python

binreconfiguration/strategy/minfreespace.py

vialette/binreconfiguration

57cc024fdcf9b083a830270176ade185b65a85d0

[ "MIT" ]

null

binreconfiguration/strategy/minfreespace.py

vialette/binreconfiguration

57cc024fdcf9b083a830270176ade185b65a85d0

[ "MIT" ]

null

binreconfiguration/strategy/minfreespace.py

vialette/binreconfiguration

57cc024fdcf9b083a830270176ade185b65a85d0

[ "MIT" ]

null

from .ascendinggaugedstrategy import AscendingGaugedStrategy from .gauge import FreeSpace class MinFreeSpace(AscendingGaugedStrategy): def _gauge(self, item): return FreeSpace(item)

18.9

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0

null

0

1

0

null

0

1

0

5

510d374481e956f25bdf0667bbc4f57ce3a253d9

40

py

Python

demo.py

mobai-ch/easyTracking

148224c0d7278db351710252aef695a2161ba1e1

[ "Apache-2.0" ]

null

demo.py

mobai-ch/easyTracking

148224c0d7278db351710252aef695a2161ba1e1

[ "Apache-2.0" ]

null

demo.py

mobai-ch/easyTracking

148224c0d7278db351710252aef695a2161ba1e1

[ "Apache-2.0" ]

null

''' 这个文件是用来看我Tracker的效果的，总之想法子调到能用吧 '''

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null

0

1

0

5

512b8a04cf71753d6cc7b24c9d85bb3f6ab56ac3

112

py

Python

image_labelling_tool/admin.py

claytonbrown/image-labelling-tool

4a8f046d729f68a2fb214104a7522111a88c100a

[ "MIT" ]

61

2017-07-31T00:38:49.000Z

2022-01-22T02:09:36.000Z

image_labelling_tool/admin.py

JinyongJeong/image-labelling-tool

4620fcc73d88f8df4261c62267e768595de96ed1

[ "MIT" ]

4

2017-08-24T21:51:16.000Z

2020-04-03T09:32:59.000Z

image_labelling_tool/admin.py

JinyongJeong/image-labelling-tool

4620fcc73d88f8df4261c62267e768595de96ed1

[ "MIT" ]

22

2017-08-09T14:36:53.000Z

2022-02-07T01:37:54.000Z

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

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true

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0

1

0

1

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5

512c96da59c008ffa0b94977a45de9c8a4241349

175

py

Python

bootcamp/questions/admin.py

Fadykhallaf/Signet

2a8edcd85324d24b50d7d14fc980c8e9f88bfd26

[ "MIT" ]

null

bootcamp/questions/admin.py

Fadykhallaf/Signet

2a8edcd85324d24b50d7d14fc980c8e9f88bfd26

[ "MIT" ]

null

bootcamp/questions/admin.py

Fadykhallaf/Signet

2a8edcd85324d24b50d7d14fc980c8e9f88bfd26

[ "MIT" ]

null

from django.contrib import admin from bootcamp.questions.models import Question,Answer,Tag admin.site.register(Question) admin.site.register(Answer) admin.site.register(Tag)

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null

0

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512ef8e6b88db2a5106ef94cd266be042eef6426

77

py

Python

dycco/__init__.py

rojalator/dycco

84ace8727aef84bb3d886cdaa3d3aef1089f1935

[ "MIT" ]

null

dycco/__init__.py

rojalator/dycco

84ace8727aef84bb3d886cdaa3d3aef1089f1935

[ "MIT" ]

1

2022-03-22T07:35:15.000Z

2022-03-22T09:15:44.000Z

dycco/__init__.py

rojalator/dycco

84ace8727aef84bb3d886cdaa3d3aef1089f1935

[ "MIT" ]

null

from .dycco import document, parse, preprocess_docs, preprocess_code # noqa

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1

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5

5139aeb60e15410718d7de8b5640e172ee23d311

72

py

Python

scrapy_github/scrapy_github/items/DataHydroClickItem.py

ljtnono/scrapys

00c60e60118c35feee598f1bdfa4b994c8fa922a

[ "MIT" ]

null

scrapy_github/scrapy_github/items/DataHydroClickItem.py

ljtnono/scrapys

00c60e60118c35feee598f1bdfa4b994c8fa922a

[ "MIT" ]

null

scrapy_github/scrapy_github/items/DataHydroClickItem.py

ljtnono/scrapys

00c60e60118c35feee598f1bdfa4b994c8fa922a

[ "MIT" ]

null

import scrapy class DataHydroClickItem(scrapy.Item): """ """

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38

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null

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1

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1

0

1

0

5

51542ba5a69c0aab71d260c49e3744527c0e5194

115

py

Python

enthought/envisage/developer/ui/view/application_browser.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/envisage/developer/ui/view/application_browser.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/envisage/developer/ui/view/application_browser.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from envisage.developer.ui.view.application_browser import *

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51636b536f2f9a1d136a5b0d2a24a53515b84525

91

py

Python

irv/constants.py

nathanllww/slivka-irv

6688ac88a34387df476d51f66d291e9f3b6454aa

[ "MIT" ]

null

irv/constants.py

nathanllww/slivka-irv

6688ac88a34387df476d51f66d291e9f3b6454aa

[ "MIT" ]

5

2021-10-08T17:44:32.000Z

2021-12-19T18:47:59.000Z

irv/constants.py

nathanllww/slivka-irv

6688ac88a34387df476d51f66d291e9f3b6454aa

[ "MIT" ]

null

NO_CONFIDENCE = "No Confidence" UNBREAKABLE_TIE_WINNER = "No Confidence (unbreakable tie)"

30.333333

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0

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1

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5

5aa44c63ba4e1bb26a1adcbb5cd194825abee1f6

35

py

Python

prof/Src/q_learning_stock/indicators/__init__.py

LaoKpa/reinforcement_trader

1465731269e6d58900a28a040346bf45ffb5cf97

[ "MIT" ]

7

2020-09-28T23:36:40.000Z

2022-02-22T02:00:32.000Z

prof/Src/q_learning_stock/indicators/__init__.py

LaoKpa/reinforcement_trader

1465731269e6d58900a28a040346bf45ffb5cf97

[ "MIT" ]

4

2020-11-13T18:48:52.000Z

2022-02-10T01:29:47.000Z

prof/q_learning_stock/indicators/__init__.py

lzcaisg/reinforcement_trader

1465731269e6d58900a28a040346bf45ffb5cf97

[ "MIT" ]

3

2020-11-23T17:31:59.000Z

2021-04-08T10:55:03.000Z

from .technical_indicators import *

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7.25

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1

35

0.90625

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true

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5aecff1573ba4cf263e3b4a2440f9827f0031b9d

160

py

Python

knowledge_repo/app/deploy/__init__.py

djarratt/knowledge-repo

4a95a0c2a74068384536bfa067640dbe34c6405d

[ "Apache-2.0" ]

null

knowledge_repo/app/deploy/__init__.py

djarratt/knowledge-repo

4a95a0c2a74068384536bfa067640dbe34c6405d

[ "Apache-2.0" ]

null

knowledge_repo/app/deploy/__init__.py

djarratt/knowledge-repo

4a95a0c2a74068384536bfa067640dbe34c6405d

[ "Apache-2.0" ]

1

2021-06-07T14:52:26.000Z

from .common import KnowledgeDeployer, get_app_builder from .flask import FlaskDeployer from .gunicorn import GunicornDeployer from .uwsgi import uWSGIDeployer

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4

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true

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null

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5