xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

115f4b4df06e7c8e8398ae06e563e3d6825c892a

473

py

Python

Python高级编程/单继承.py

shao1chuan/pythonbook

cd9877d04e1e11422d38cc051e368d3d9ce2ab45

[ "MulanPSL-1.0" ]

95

2020-10-11T04:45:46.000Z

2022-02-25T01:50:40.000Z

Python高级编程/单继承.py

shao1chuan/pythonbook

cd9877d04e1e11422d38cc051e368d3d9ce2ab45

[ "MulanPSL-1.0" ]

null

Python高级编程/单继承.py

shao1chuan/pythonbook

cd9877d04e1e11422d38cc051e368d3d9ce2ab45

[ "MulanPSL-1.0" ]

30

2020-11-05T09:01:00.000Z

2022-03-08T05:58:55.000Z

class A: def spam(self): print('A.spam') class B(A): def spam(self): print('B.spam') super().spam() # Call parent spam() class C: def __init__(self): self.x = 0 class D(C): def __init__(self): super().__init__() self.y = 1 d = D() print(d.y) class Base: def __init__(self): print('Base.__init__') class A(Base): def __init__(self): Base.__init__(self) print('A.__init__')

16.892857

44

0.530655

66

473

3.318182

0.272727

0.219178

0.200913

0.109589

0.155251

0

0.006116

0.308668

473

28

45

16.892857

0.663609

0.038055

0

0.26087

0

0.077093

0

1

0.26087

false

0

0.521739

0.217391

0

null

1

0

null

0

1

0

1

0

4

feca5981e4193f53c9bcc42cf5d652c0a1d158f4

171

py

Python

tests/LynxmotionNewTest.py

murrayireland/Rover-Code

e46126a38d8ac8bb70867e3378a3c4f89591b385

[ "MIT" ]

null

tests/LynxmotionNewTest.py

murrayireland/Rover-Code

e46126a38d8ac8bb70867e3378a3c4f89591b385

[ "MIT" ]

null

tests/LynxmotionNewTest.py

murrayireland/Rover-Code

e46126a38d8ac8bb70867e3378a3c4f89591b385

[ "MIT" ]

null

# Test of new Lynxmotion controller with Adafruit DC # motor driver and Sense HAT IMU import RPi.GPIO as gpio import time gpio.setmode(gpio.BCM) gpio.setwarnings(False)

19

52

0.789474

28

171

4.821429

0.821429

0

0.152047

171

8

53

21.375

0.931034

0.473684

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fede73c506ba482087b17ab8f75dd8fe5ed19510

833

py

Python

pyqtcli/exception.py

Kynarth/pyqtcli

ca5f7f711b3731531f39b7d9a63b9965fbbc2b75

[ "MIT" ]

null

pyqtcli/exception.py

Kynarth/pyqtcli

ca5f7f711b3731531f39b7d9a63b9965fbbc2b75

[ "MIT" ]

null

pyqtcli/exception.py

Kynarth/pyqtcli

ca5f7f711b3731531f39b7d9a63b9965fbbc2b75

[ "MIT" ]

null

"""This module regroups all exceptions tied to pyqtcli cli.""" class QresourceError(Exception): """Exception raised with problems concerning qresource node in qrc files.""" def __init__(self, arg): super(QresourceError, self).__init__() self.msg = arg def __str__(self): return self.msg class PyqtcliConfigError(Exception): """Exception raised with problems concerning .pyqtclirc config file.""" def __init__(self, arg): super(PyqtcliConfigError, self).__init__() self.msg = arg def __str__(self): return self.msg class QRCFileError(Exception): """Exception raised with problems concerning qrc files.""" def __init__(self, arg): super(QRCFileError, self).__init__() self.msg = arg def __str__(self): return self.msg

26.03125

80

0.665066

94

833

5.510638

0.361702

0.092664

0.138996

0.162162

0.664093

0.627413

0.361004

0.256757

0

0.231693

833

31

81

26.870968

0.809375

0.295318

0

0.666667

0

1

0.333333

false

0

0.166667

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

fef8d2695dee0a4aaa685fdc6cbaaa6c9ef10f22

66

py

Python

test1/login.py

guangchaoli/test

f3948f949bca37a910d3ac671d29c40744ec6ba9

[ "MIT" ]

null

test1/login.py

guangchaoli/test

f3948f949bca37a910d3ac671d29c40744ec6ba9

[ "MIT" ]

null

test1/login.py

guangchaoli/test

f3948f949bca37a910d3ac671d29c40744ec6ba9

[ "MIT" ]

null

num1=10 num2=20 num3=30 num4=40 num5=50 num6=60 nihaoma=weijialan

8.25

17

0.787879

14

66

3.714286

1

0

0.305085

0.106061

66

7

18

9.428571

0.576271

0

1

0

1

0

false

0

1

0

null

0

1

0

1

0

null

1

0

4

3a039f25a48a0a20d24c40124319ec602f07e19b

90

py

Python

Python/04. Sets/003. Symmetric Difference.py

stonehengee/HackerrankPractice

ec052e7447391e40d1919cf0b641ff5023da3da3

[ "MIT" ]

null

Python/04. Sets/003. Symmetric Difference.py

stonehengee/HackerrankPractice

ec052e7447391e40d1919cf0b641ff5023da3da3

[ "MIT" ]

null

Python/04. Sets/003. Symmetric Difference.py

stonehengee/HackerrankPractice

ec052e7447391e40d1919cf0b641ff5023da3da3

[ "MIT" ]

null

# Problem: https://www.hackerrank.com/challenges/symmetric-difference/problem # Score: 10

30

77

0.788889

11

90

6.454545

0.909091

0

0.02381

0.066667

90

2

78

45

0.821429

0.944444

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

3a095de901b7c11af11b3186cc279cbac8e5b886

210

py

Python

flaskr/models/__init__.py

jeovazero/zoas-store-api-graphql

c2ef77a2b7abdfae7b492f901c879fd2d4f9e889

[ "MIT" ]

3

2019-10-23T07:15:01.000Z

2020-05-18T16:11:31.000Z

flaskr/models/__init__.py

jeovazero/zoas-store-backend

c2ef77a2b7abdfae7b492f901c879fd2d4f9e889

[ "MIT" ]

11

2019-04-23T23:50:53.000Z

2019-05-04T15:23:16.000Z

flaskr/models/__init__.py

jeovazero/zoas-store-backend

c2ef77a2b7abdfae7b492f901c879fd2d4f9e889

[ "MIT" ]

1

2019-10-23T07:15:07.000Z

from .product import ProductModel from .photo import PhotoModel from .cart import CartModel from .product_cart import ProductCartModel __all__ = ["ProductModel", "PhotoModel", "CartModel", "ProductCartModel"]

30

73

0.804762

22

210

7.454545

0.454545

0.134146

0

0.109524

210

6

74

35

0.877005

0

0.22381

0

1

0

false

0

0.8

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3a25af7be837463c2312eede491dc60f14c4d430

77

py

Python

csv_to_html.py

Apex8/Web-Design-Challenge

92cf4be1c590d67539d6370a9d33329d780feb1f

[ "ADSL" ]

1

2020-11-03T19:42:52.000Z

csv_to_html.py

Apex8/Web-Design-Challenge

92cf4be1c590d67539d6370a9d33329d780feb1f

[ "ADSL" ]

null

csv_to_html.py

Apex8/Web-Design-Challenge

92cf4be1c590d67539d6370a9d33329d780feb1f

[ "ADSL" ]

null

import pandas as pd pd.read_csv('Resources/cities.csv').to_html('table.html')

38.5

57

0.779221

14

77

4.142857

0.785714

0

0.051948

77

2

57

38.5

0.794521

0

0.384615

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

28e519a98aef0934b9d375cfadf4d8bfc70673ba

402

py

Python

permission_rules/app_settings.py

speechki-book/drf-permission-rules

97d989a842bcf10eeb6682680e8c14c5dbdc28b2

[ "MIT" ]

1

2020-07-10T18:49:45.000Z

permission_rules/app_settings.py

speechki-book/drf-permission-rules

97d989a842bcf10eeb6682680e8c14c5dbdc28b2

[ "MIT" ]

null

permission_rules/app_settings.py

speechki-book/drf-permission-rules

97d989a842bcf10eeb6682680e8c14c5dbdc28b2

[ "MIT" ]

1

2021-05-20T10:25:52.000Z

from django.conf import settings if hasattr(settings, "PERMISSION_RULES_SETTINGS"): PERMISSION_RULES_SETTINGS = settings.PERMISSION_RULES_SETTINGS else: PERMISSION_RULES_SETTINGS = { "use_redis": False, "prefix": "permission_rule_", "redis": { "host": "localhost", "port": "6379", "db": 0, "password": "" } }

25.125

66

0.572139

36

402

6.083333

0.611111

0.273973

0.420091

0.424658

0

0.017921

0.30597

402

15

67

26.8

0.767025

0

0.228856

0.062189

0

1

0

false

0.071429

0

0.071429

0

null

1

0

null

0

1

0

4

e901ec8fdf7327baa2ad9b4ded67d88a64c94d90

127

py

Python

env_old/lib/python3.5/site-packages/netmiko/dell/__init__.py

gerards/pynet_learning_python

eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20

[ "Apache-2.0" ]

null

env_old/lib/python3.5/site-packages/netmiko/dell/__init__.py

gerards/pynet_learning_python

eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20

[ "Apache-2.0" ]

null

env_old/lib/python3.5/site-packages/netmiko/dell/__init__.py

gerards/pynet_learning_python

eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20

[ "Apache-2.0" ]

null

from __future__ import unicode_literals from netmiko.dell.dell_force10_ssh import DellForce10SSH __all__ = ['DellForce10SSH']

25.4

56

0.850394

15

127

6.466667

0.733333

0

0.052174

0.094488

127

4

57

31.75

0.791304

0

0.110236

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e9036e118969aad6d3f8dea398373ef559bd5ada

97

py

Python

LoginManage/apps.py

fox-ahri/ahri-auth

1f7159c48138d150c36092a1ac00c6824b0dd390

[ "MIT" ]

null

LoginManage/apps.py

fox-ahri/ahri-auth

1f7159c48138d150c36092a1ac00c6824b0dd390

[ "MIT" ]

5

2021-03-19T01:20:00.000Z

2021-06-10T18:48:25.000Z

LoginManage/apps.py

fox-ahri/ahri-auth

1f7159c48138d150c36092a1ac00c6824b0dd390

[ "MIT" ]

null

from django.apps import AppConfig class LoginmanageConfig(AppConfig): name = 'LoginManage'

16.166667

35

0.773196

10

97

7.5

0.9

0

0.154639

97

5

36

19.4

0.914634

0

0.113402

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e91314613519e21a801bea150ef67ad7d14bd0c7

109

py

Python

python/testData/resolve/multiFile/importOsPath2/yos.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/resolve/multiFile/importOsPath2/yos.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/resolve/multiFile/importOsPath2/yos.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

import sys if True: import ypath as path else: import zpath as path sys.modules['yos.path'] = path

12.111111

30

0.678899

18

109

4.111111

0.611111

0.162162

0

0.238532

109

8

31

13.625

0.891566

0

0.073395

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3a61e7e1d6367bf957950e0b70987c97f9a6e583

344

py

Python

Cloud/reset.py

JustinXWT/IE-ACHE

99bc9b94dd25a0442843e6f409e6bebd6885d1e4

[ "MIT" ]

null

Cloud/reset.py

JustinXWT/IE-ACHE

99bc9b94dd25a0442843e6f409e6bebd6885d1e4

[ "MIT" ]

null

Cloud/reset.py

JustinXWT/IE-ACHE

99bc9b94dd25a0442843e6f409e6bebd6885d1e4

[ "MIT" ]

null

import os try: os.remove("answer.data") os.remove("client.hacklab") os.remove("opcode.hacklab") os.remove("cloud.data") os.remove("cloud.key") os.remove("cloud.key.hacklab") os.remove("postfix") os.remove("postfix.hacklab") os.remove("keyexchange.log") os.remove("averagestandard.txt") except: pass

21.5

36

0.645349

45

344

4.933333

0.4

0.36036

0.27027

0.144144

0

0.174419

344

15

37

22.933333

0.78169

0

0.380814

0

1

0

true

0.071429

0

0.071429

0

null

1

0

null

0

1

0

4

3ab537c65110ea4b8adb7e3a6e01f463b78624c3

7,887

py

Python

tests/test_reflected_tables.py

edupo/sqlathanor

a5cfd349d092b25a3ffb3950b996b13878e1db17

[ "MIT" ]

101

2018-07-21T00:20:59.000Z

2022-02-09T21:33:09.000Z

tests/test_reflected_tables.py

edupo/sqlathanor

a5cfd349d092b25a3ffb3950b996b13878e1db17

[ "MIT" ]

85

2018-06-16T02:15:08.000Z

2022-02-24T14:57:24.000Z

tests/test_reflected_tables.py

edupo/sqlathanor

a5cfd349d092b25a3ffb3950b996b13878e1db17

[ "MIT" ]

6

2018-07-25T09:51:02.000Z

2022-02-24T14:04:27.000Z

# -*- coding: utf-8 -*- """ ****************************************** tests.test_reflected_tables ****************************************** Tests for declarative :class:`BaseModel` and the ability to retireve serialization configuration data when using :doc:`reflected tables <sqlalchemy:using-reflection-with-declarative>`_. """ import pytest from sqlathanor import Column from sqlathanor.errors import UnsupportedSerializationError from tests.fixtures import db_engine, tables, base_model, db_session, \ model_reflected_tables, instance_complex @pytest.mark.parametrize('test_index, expected_result, column_names', [ (0, True, ('id', 'username', 'password')), (1, True, ('id', 'username', 'password')), ]) def test_model___serialization__(request, model_reflected_tables, test_index, expected_result, column_names): target = model_reflected_tables[test_index] result = hasattr(target, '__serialization__') assert result == expected_result for column_name in column_names: assert hasattr(target, column_name) == True @pytest.mark.parametrize('use_meta, test_index, format_support, exclude_private, expected_length', [ (False, 0, { 'from_csv': None, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, True, 0), (True, 0, { 'from_csv': True, 'to_csv': True, 'from_json': True, 'to_json': True, 'from_yaml': True, 'to_yaml': True, 'from_dict': True, 'to_dict': True }, True, 0), (False, 0, { 'from_csv': True, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, True, 3), (False, 0, { 'from_csv': None, 'to_csv': False, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, True, 4), (False, 0, { 'from_csv': True, 'to_csv': False, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, True, 1), (False, 0, { 'from_csv': None, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': True, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, True, 3), ]) def test_model__get_declarative_serializable_attributes(request, model_reflected_tables, use_meta, test_index, format_support, exclude_private, expected_length): if not use_meta: target = model_reflected_tables[0] else: target = model_reflected_tables[1] result = target._get_declarative_serializable_attributes( exclude_private = exclude_private, **format_support ) print(result) print(target.__serialization__) assert len(result) == expected_length @pytest.mark.parametrize('use_meta, test_index, format_support, expected_length', [ (False, 0, { 'from_csv': None, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 0), (True, 0, { 'from_csv': True, 'to_csv': True, 'from_json': True, 'to_json': True, 'from_yaml': True, 'to_yaml': True, 'from_dict': True, 'to_dict': True }, 0), (True, 0, { 'from_csv': True, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 0), (True, 0, { 'from_csv': None, 'to_csv': False, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 0), (True, 0, { 'from_csv': True, 'to_csv': False, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 0), (True, 0, { 'from_csv': None, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': True, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 0), (False, 0, { 'from_csv': None, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 0), (True, 1, { 'from_csv': True, 'to_csv': True, 'from_json': True, 'to_json': True, 'from_yaml': True, 'to_yaml': True, 'from_dict': True, 'to_dict': True }, 4), (True, 1, { 'from_csv': True, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 4), (True, 1, { 'from_csv': None, 'to_csv': False, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 2), (True, 1, { 'from_csv': True, 'to_csv': False, 'from_json': None, 'to_json': None, 'from_yaml': None, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 1), (True, 1, { 'from_csv': None, 'to_csv': None, 'from_json': None, 'to_json': None, 'from_yaml': True, 'to_yaml': None, 'from_dict': None, 'to_dict': None }, 5), ]) def test_model__get_meta_serializable_attributes(request, model_reflected_tables, use_meta, test_index, format_support, expected_length): if not use_meta: target = model_reflected_tables[0] else: target = model_reflected_tables[1 + test_index] result = target._get_meta_serializable_attributes( **format_support ) for item in result: print(item.name) assert len(result) == expected_length @pytest.mark.parametrize('use_meta, test_index, expected_length', [ (False, 0, 3), (True, 0, 0), (True, 1, 5), ]) def test_model__get_attribute_configurations(request, model_reflected_tables, use_meta, test_index, expected_length): if not use_meta: target = model_reflected_tables[0] else: target = model_reflected_tables[1 + test_index] result = target._get_attribute_configurations() print(target.__dict__) for item in result: print(item.name) assert len(result) == expected_length

27.385417

100

0.484595

817

7,887

4.350061

0.106487

0.0861

0.050647

0.059088

0.754643

0.731007

0.707935

0.697805

0.685706

0.674733

0

0.010474

0.382655

7,887

287

101

27.480836

0.71945

0.040953

0

0.839844

0

0.181337

0

0.019531

1

0.015625

false

0.007813

0.015625

0

0.03125

0.019531

0

null

0

1

0

1

0

1

0

null

0

4

3ad3edf517a145fe552399791af71387eb371841

379

py

Python

mnn_core/nn/criterion_modules/__init__.py

Acturos/moment_neural_network

c5074b14970f16a007ba5091b07127c4645cd50e

[ "MIT" ]

1

2021-03-02T07:39:53.000Z

mnn_core/nn/criterion_modules/__init__.py

Acturos/moment_neural_network

c5074b14970f16a007ba5091b07127c4645cd50e

[ "MIT" ]

null

mnn_core/nn/criterion_modules/__init__.py

Acturos/moment_neural_network

c5074b14970f16a007ba5091b07127c4645cd50e

[ "MIT" ]

2

2021-03-02T07:40:01.000Z

2021-03-02T09:14:51.000Z

from .likelihood_mse import LikelihoodMSE from .cov_kl_div_loss import CovKLDivLoss from .label_smoothing import LabelSmoothing from .geometry_probability import geometry_prob_vec, GeometryCrossEntropy, shift_vec, GeometryMSE from .wassertein_loss import WasserteinDistLoss, WasserteinDistPredict from .density_based_crossentropy import DensityPredict, DensityCrossEntropyLoss

42.111111

97

0.889182

41

379

7.926829

0.682927

0.061538

0

0.081794

379

8

98

47.375

0.933908

0

0.166667

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

3ada9f887af29e436d9267a81315e68a0e5ec19a

52

py

Python

voiceplay/player/tasks/__init__.py

tb0hdan/voiceplay

3e35a25cfcf982a3871cf0d819bae4374ee31ecf

[ "Unlicense" ]

2

2017-03-22T10:02:07.000Z

2020-08-02T11:56:47.000Z

voiceplay/player/tasks/__init__.py

tb0hdan/voiceplay

3e35a25cfcf982a3871cf0d819bae4374ee31ecf

[ "Unlicense" ]

69

2016-12-10T22:27:47.000Z

2017-12-14T05:15:43.000Z

voiceplay/player/tasks/__init__.py

tb0hdan/voiceplay

3e35a25cfcf982a3871cf0d819bae4374ee31ecf

[ "Unlicense" ]

null

#-*- coding: utf-8 -*- """ Player tasks package """

17.333333

28

0.538462

6

52

4.666667

1

0

0.023256

0.173077

52

2

29

26

0.627907

0.826923

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

3adc8e5c34adf243976af806ba1f552c837bbd43

184

py

Python

packages/pyright-internal/src/tests/samples/inconsistentSpaceTab2.py

martindemello/pyright

4fe3f1f7c08f139715701fdf746183062b5165ff

[ "MIT" ]

4,391

2019-05-07T01:18:57.000Z

2022-03-31T20:45:44.000Z

packages/pyright-internal/src/tests/samples/inconsistentSpaceTab2.py

martindemello/pyright

4fe3f1f7c08f139715701fdf746183062b5165ff

[ "MIT" ]

2,740

2019-05-07T03:29:30.000Z

2022-03-31T12:57:46.000Z

packages/pyright-internal/src/tests/samples/inconsistentSpaceTab2.py

martindemello/pyright

4fe3f1f7c08f139715701fdf746183062b5165ff

[ "MIT" ]

455

2019-05-07T12:55:14.000Z

2022-03-31T17:09:15.000Z

# This sample tests the reporting of inconsistent space/tab usage # for dedent tokens. if True: if True: print("False") print("True") # Should generate an error here.

16.727273

65

0.679348

26

184

4.807692

0.846154

0.096

0

0.233696

184

10

66

18.4

0.886525

0.61413

0

0.5

1

0

0.134328

0

null

0

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

3af38cc3b84afbee4e71fd19072f045c8145e66e

9,681

py

Python

Day 03 - Beginner - Control Flow and Logical Operators/06_PROJECT_treasure_island.py

not-lucky/100_Days_of_Code_-_The_Complete_Python_Pro_Bootcamp_for_2022

2c21c190ab756176bd7b577b3f8a0370b75c3828

[ "MIT" ]

null

Day 03 - Beginner - Control Flow and Logical Operators/06_PROJECT_treasure_island.py

not-lucky/100_Days_of_Code_-_The_Complete_Python_Pro_Bootcamp_for_2022

2c21c190ab756176bd7b577b3f8a0370b75c3828

[ "MIT" ]

null

Day 03 - Beginner - Control Flow and Logical Operators/06_PROJECT_treasure_island.py

not-lucky/100_Days_of_Code_-_The_Complete_Python_Pro_Bootcamp_for_2022

2c21c190ab756176bd7b577b3f8a0370b75c3828

[ "MIT" ]

null

print('''@#############################################################MMMMMMMMMMMMMMMMMMBBBBMMMMBB&AMBAHM###MMMMMMM# @hG&&AA&&A&G&&&&GG&AA&&&&&AAAAAA&&&G&&&GGhh&AAAG93XX39h93X225iiiS5SSSSSSSiSiSSisssssiisssi:.;s;iXX25Sii25SSA @hAAHAAHAHAAAAAAAAAAAAAAAAAAAAAAAHHHAAAG&&3Ssi5G&GG&&GG9333X2552222222255525rrSSS55SSSiSS5X;:Xri2SX252r ;A9A @GAHHHHHHAAAAAAAAA&AAAAAAAAAHHHAh25iiS29B@Hr sAX9GAAGh3333XX22222XXX5iS55Sii552225SS2X2iih&A: ,;X22r:;:ihA @GAAHHHHAAAAAGG&&&G&&&AA&AA&XSsii55Sirrrs&@#r s::::r53h9XX3X252252XX2SiiiiS55525SS5irr239GGAHX39222XA3,:hA @3GAAAAA&AAAA&GGGGhhhGGGGG2i2hAAhir;:. G@9 .;....:;rr53X25SS5552225rrisiSSiiiiiiir:Shh9999;iX223G&hAA9& @29&G933GAAAAA&Gh933393&MMM#@HXs:,:,, ,@@, r, ,;;;r52SiiSiiiiisrsiissssrsssSXh399X2222222X99hGAHh& #5XX2X999hhGGGGGh33XXX2B#AH#MGir:::,,. r@A ,r ::,:iSisssrrsssssssrrrssss5X3XX2222riX2X3333G5.;& #iS52XX222222X99993XX2X##323HMB9Sr;;;, &@; s, ;;.:srsssrrrrrrr;r;rrsiSS5522252222X3333X3h2:rG #iS22255225222XXXXXXX5G@#X3#AGAB#A2rrr;, ,@A. ;s, .AS ssrssrrrrrrr;rrrssiiSSiS555222sr9XXX339GA3G #s52222222552XXXX22225M@Ai####H3X3hAAG2i;, ,#@r. :Sr. ,;; ,srrr;rr::;;;rrrrssiiiiSS55222XSs22S2399332h #s522222255SSSS22252SX@@2;MAX29H#B&XS2HA&32ssA@X;:;Xs;::;sirr::r5rrrr;;;:::;;rrrrrsssssiSSSri3X95S3X33XXXX59 #s5X22222255SiiiSSSSiA@@;5#Xr;;;r5&MMH@#3S5H&B@@2:,SMhSSi:i2ss;.rsrr;;;;;;;;rrrrrrsssii5252rsXXis933X22XX2i3 #i52222222225SSiiiiis#@B:HMXs:,,,...:r2B@@##AA@A;.. @@A2Sr;, .ssr;;;;;;;rrrrr;,,rsiSSi:rX3X23i;XX255225SsX #i52222222225SSiiisr5@@&r#HXr;:: .;h@@@@G: #A:, rSr;;;;;;rr;rrrr;..riSi,;;;2X22X9hXX2555Siir2 #i5XXXX2222555Siiis;A@@9i#G2ir;;,. :A#@A. A; .ir;;;;;;rs;:rrrrr::sSiS;;93X2X922X2225SSiiir2 #i2XXXXXXX2255SSiirr##@3XB35Siii;:,.. h#@h;. ,B, :r;;;;;;rrrrrrrrsi;r5iS232Sr.i2r;;25,:2, s5is2 #SX9X33XXXXX255SisiB@##&&AX2SiiSi;;:. ,A#@X; ;A. ..;r;;;;rrrrrrrrrsr;ri22222Si::X5,r5Ss:rSr;sr X @23h333333XX225SirB@###AH&X2ssrrs;;:...,. rA#@5;, X9, . rr;:;rrrrrrrrrsisrSrr55522X5iiX32SSss5ir2srrrX @39hhhh9333XX25isr#@MGB#M&2irr;;;::;,,,,:,,iH@#i:, A2:,,. .rrr;;rrrrrrrrrsriS5s;5SS5irX2525iiS5SSSSSS5X23 @X9GGGG993XXX2Siri@##s:A@#G5sr;:,::::;:,. .5#@Mr:,,BS;;:, .,;rrrr;;;;rrr;rssrsiS5iriSSSS55SiiiSiiiSSiiS22SX @XhG&&GGh93X25Sir9@#B9XAH&#@HXi;:,,,,,,,,,;G##A;:,iMrrr;:..:rirr;;;;,;rr;,r;;siiiir;iiiiiiiiiSSiiiSSSiS2XXiX @3h&&&GGh93X25Sir3@#HhA@M2:;B@@#AXr,.,,,, :A##3;;;AHsr;:;rr3X:r;;;;;;rr;:rrrrsrssssiiisssssiiiiiiSSSS22XX2iX @3h&AGhh9XXX25Sir3@##&B#AGhsi2A#@@@#Ah9&hi2##M3r;r#Mh95i9A&2 ,;;;;;;;;;;;;rsisrrrrsssrsssssissssiiSS52XX25s2 @3GA&Gh933X225Si;&@#AAM##Gi;..,:;;rS3GH#@@@@##@MB#@MAHBH&S: :r;;;;;;:,:r;;;,..rrrrrrrrrr,;ssrrsssii552225Sr5 @3GGGGh993X22SSi;X@MGAAXG#BS:. :9M2:,,2@r.;;, ;;;::::;,:;;;;: ,:;;;;;;r;;rr;rrrsiiiS55SSSirS @3hhhhh93XX25Sis;&@MBBAr.rH@#hr, i@#X, :Mr. :;:,:::::,:;;;;;;rr:,:,;;;;;;r;;,;rrrsssiiiiiis;S @X39h9933X22SSisrM@MAH#M9iX@@@@B5r:, .i@Hr: rs .;: ;;s222srrr:,,,::::;:,:::,;. :;;;;;;;;rrrsrrrsrr;i @X99993XX225SSiri@#AXAMM#BXh@@@@@@@@#BGX2SAM#&;rXG;:SB@@@sr2M@@#2:sXAHhi;;;;r. ;;::,,,,::,,:;iS23h22s;rr;;:s @X993XXX225SSisr3@#BAHBXSX2;;h##@@@@@@@@@@#M@#X&@@@@@@@H. ;G@MB&;;2isS9HMHA3i:;XHMXis,,:,;S&&3##H2;:,:::,::s @X393X2225Sii35s&###BMM3sr;r5H#&ii5GMBAM@@@#@@H@@@Hr. ;i r##GGr ;srr;;,, :. :rsXM92@HGA#@@2 .hH&G&hX5i593SS @2X3XX225Sii2#@@#HH###Mh2i;,;HAs:. ,,,:5ABX;,.Xi 2 2@A&G3Srrrr:::,,:::,,;iAAM@@@@@#HH3iGG99h&H##AX;, r @2XXX22SS2A#@@@@##M###M&hhiri#&:., :A@Bi: ;r i:5@B3sX25ir;;:,,,,,,,:.:sS&h#@@#MHA&AHGXXX3hhG&3srr;s @2XX255XhM@@@@#######@@#HAhX&@Hr:;: .H@X:is;r:. :S5@MGr.:;;:,:r;;r;,. .:. s2H@#@@MA&G&&Ss33333h99G&GH#A @2Xh93MBA@@@#######BB#@@@BAAM#AXi;rr. .A@9:,::r:. S3#AX;,.. .,,.:s;,:,, .rs:2A@@Mr;GAGh9h;:3XXi.S33GAA&3& @X2Si29A@@########B95XB@@@BBB#B&&Srs; .S#@MA2;rr. :MAGs:,.,,,,::, ,:.:r5r;9A2XM@#&..&BAGG&A&933X2X3X9hAHHH #3h2SisSB#BBM##M###A52M#M@##MH&3Xir;:,,;X@#i;;:S; .HH5i, .,:,::,;, .;;s2939#H9A@@#@@@BG9X999333339X222X9hGH #2M###A9XBMM#BHBMMMAA##AXG@###ASr;;;:,:;3#3;:,;G;,:AArrr..::;,;:.:;,rh5s9AAM#A&##HHHHAh3XXX3GG3393X2X3X2252A #sA#M#@#AA#@#&AHAHHH##HA5.:M#3A@hr;;::,:9MAi5,S2:;Ghr;s;,:;:;:;;;;rr3hiiAHAAAXA#MBHAAh9hhGGs :XG9339Gh3XX99A #iGA2hHMBHHAGGAAGGH#@BAB3 i@@r:M@9r::,:9#B:,:&r;A2s;rssr;;;::srrss5hXiXABBBHB@MHA&AA&&&&&&i iAhGAAG3XXX39A @2AHir59MB5rsXAMBAM#AGGAX:;Ar.s, rGM9r:sX#G;.2@BGX;r,;i32iir;r5r5X2AAS2#@@####MMBAGGGX23X9&AMHA&&GhhX22XGAAB @GHAirShHASi2&&AAAAA99hXsiMG .9#G&@@@#@##B2r@#Ss;;: ,iXXXh2rhh2&GAH2SM@@###MHAAAAhh99h&HiiBHHA&Ghhh9GAAHAAB @AAA9GHAHMHBBAhGA&H@BGHHA@@5SB@@@##MBMMBHAB&Xr,,,,;,.rXrShh5S9SX3G&s5@@@#MBHHHAA&GAAAAHAA99BAA&&GGGh3hGAAAAH @9&HMBBAMBMBAhAA93&BHGGhAB#M@@M35sr;;:;rSXX;. ,.,;:;X&S9XsrsriA@A;s@@#MMMBHHHHBh;X&&&AX;iHG&&&GhhGGAAAAAHHM @9AMMMBAhX523&AXS2hhXXhhXX9GGh5srr;;::;i93r:.:2SrS35iA&GAi;r5SH#5:i@@#MBBB#MBHBBM9BBA22BMBAGG&AAHMBAAG9hh&AB @GGAA32sr;;sSii2XG9irS5522X3XX99hGA&&9hAhS;:;X9siA&52A222Si3AA2;i33@#ABMBH&GHHX3BHM##MX9&AHBHHB#@G3HH&G93X2A @#H&h333335iiiXX3S;;ihSsi5X9hhh&A&G9GGh2sr;rAA22h5:;3HA3i3MBAX9@@@##BBM2hMS9HHSriAsGBM#BAGAHMM#2 .GAHAAGXA @BMMM#MAAA9Xh&3h2si5XG5sr;;rsiisssiSirrrsrXBA9GA5::2H9&A2SXG#@@@@@##MBM55MHM##@@#@#G&AHHAAAAB@s G#AHAHBB @&ABB#####HH&X399G3X22iS5Sr:;;::sSSs;ri52GH&h3X2SXG95r:,sA..:s9A#@@#@MM@@M###@H. 2@MAAHHHB## :;sA@@#BHA&B @&A&AHBM#@@@@MHAGGh3222239X25ShMX552hHHB#@#&GAHMBG5r:,s#@X.:;;;2@@BB##@####MM@ S@@#####@B ,X@@##MMBAB @A&HBHMMBH##@@#MMM##@@@A9A#HG@@@@GAHH#@#&X5SsiXS;, :B@@r .... r@G;H@####BMB#@: ,rr;2@@@@@@@@2;sH@#@@MMMBBAB @AB#HAHBBH2G2S5X3933hAMMAGX5s#@@@s;rr;::... .9@@X S#@#####M#@@ ,rs.r@@@@#2s:rG@@#@##HBBBAB @HMM359GAirs;;rr;;;;:::::,,, G@@@: ,2H@@M. :, ;H@@#####@@@ ;Si;X; s. i@#&B@MHHHAM @ABX2@&s;:;;rr;::,,. #BA#, 2@@@BBB . :rrSir;:9@@#####@@@..;;2r i ;2M@#H#MHHHHAB @&Xrr9@@B2r;,.,... r@93M; ;#@#BBXr ....:H#5M###@@2.;;.;r. S#AGH@@MHHM@#BAHAB @r;sirS@@@@@&: ... ..... ,@AA#H h@@BA#s .,, ;Hi#@@@3 r92:GG@@@@@@#&M#HBMMA&B #r532i;:A@@@@@5 .,:::;;:,.. 5@HH#@, ,HB&AA#2 ..,r. 2@. . ;A#HB@@@@@@@M@B##MAGHBB #S22i;;,.:i@@@@@r, ,@#M#@@ 5@@AhAA: ... Xr :, 3M3s@@@@#M@#@BH#HH#MhH #iiirrr;:. 2@@@@@&s: .. B@#@@@; .B@Bh9A9 ,,r..r. ,A; .r. ,2AAM@@@@@@M@AA99MAMHM #sssssrr;:,. 3@@@@@@@; 5@3rrsX#@@@A3r2& ., ...,r:rh, XA;:,. r&MM@@#@@H#A&H929G#AB @iSisrrr;;;,. r@@@@@@@@&Sh@B, ..:s&#B&M s&; .:r;2, i2rsX; ,5;2hs;XGH#@@@@MM#BB#9hhX&5A #iSisrrrr;;::, ,r9@@@@@@@2.,;;;;rr:..i#@5 . .. :XBX; :;. ;Air;,s:,H@@@M#h 2@@@@@#A@B&#3&3SA #iiirrr;;r;;:, ,A@@@M;5X222H@B3ir:3@#2AHHAA&GG9#r . .9hA@@#9s ;r. .2,r@@A5X3@@#@#. 5@@@@@@@@@#HAXA @SSiisisr;;:,.. :#@#H@@BHHA@@@@@, M@@@@@@@@@@@@#&i :;2@@#B@#X; , ,sH#A#@#XG##AB@X .;Sh&@@@@B&A @XXXXXSr;:::,,:::::,,:;rH@M@@@#35A&s29i,,@@#AM@@@@@@@@@@@@@5 . .#@@s , ,. .H@@HhX3HMH3S5#@B; s@@#H @&&h2s;;;;;;;;r;;r2H@@@@@@XhHMhGA@2;59GA9@@@MGSr;:,,,,,,r#@@#s: , r@@#@53:s,A@@@#AAHHhXi:,s@@#r 2@# @XXSrr;;;rrsrrS&@@@@@@@@@@M&AHB#@#&hGG92r2@s 9@@@Ar . .A@@@@#@###M###MBAh99i;.,5@@X:, :. :@ @iissiissiS3M@@@@@@@@@@@#@@G&hG#MMHA2r;:,h#B5 S@@@#&:rAB@@@@@@@##A&&ABMHh3GGS;. .3@B;:;, sA,X @issS252&#@@@@@@@@#H3Sr.,#@2isssi2;::,.:h#AH@@i ,9@@@@@@@@@@@@@#A3X3&H#MHAGh2s;. ,9#5,;;.;AG #rs552B@@@@@@B9Sr;:.. ;@@@#Srr;:,,,.,&HBA59H#@B. .2BX, ,2AB##&iiX39HMHHh32r:. .9#r.,:5h #59A@@@@@B3ir;:::,:::,i@@@@@@@GSsrrs3@9 . 5#MM@@i .iH@AsrssSAHA#A&2;, ,AG;2;r @h#@@#&2isrr;;;:;;;r;r@@@@@@XA@@@@@@@, .i@@#@@#: ..,.,::..rh@#XsrrSAAG@BAs:, r@@ : @AMHhX2Ssrrrrrrssiii9@@@@@@r :@@@@@A .. .M@@@@@&; .,,;;rrr;S5##S;;riA3X@#As:, :@2 . @AA&32irrrrsi5222iS#@@@@@@r ,..@@@#@A ... ;hM@@@@@X :r25is;##, :;sBS2@#ASr:::,:h& : @GG32Siiii52X22i;2@@@@@@9. .. ##AA#5 r@@@@@; ... .... ,;s5X:;;#A .;s#i5#HG2iss2M&. : @9hh3XX39h925Ss;A@@@@@X. .. S@BH#2 A@#@@h ...... ..:;rrsX: r:#A ,;#r2#AAAM@@2: . i @&HBHHHAGXSsssr#@@@@h, ,:::;:..@@@@@ .,,,,..... ;h@@@@, .:::....;siri, ;,#H, :M;A#B#@3;;:r,;@ @A##BHAGX55SSr2@@@A;,:riiSiiisr,r@@@@i,;;;;:;;,,:;::, .s#@@A .:;rr:,:;;i@,ii,MHr,:rB#i#@9r:,.r,;@@ @A##BA&9X2225rB@@G:ri522222255ir:@@@@3;s;ssrr;,.,,,. i@@2,... .,;iSi;:r@@@@S,&h&@@#@##M2i ,:X@@# @&HMHG3Xisiir#@&s:;rssrrr;::;r;;,&@@@G.:,,.. S;.,,:,,. ,r3&3rB@#5@h;rs9@#&32A#HSsG@@@XH @&AB&3X2Sssri@s .,:::::::, ,,,. 5@MG. .,,::,:::::,.. .,,::::::;i2X@@#;s@#XS::53XS2M@@@@@MMAA @AHA&G325Sisir,:::,,,,,.. @@9 ,;;;rsis;rr;;::,........... .:rirr;rr;9@@@H#@@@MAM@@@@@@@@@@@MB# @h3XXX333X2ir;;;;;;;;;:,,,,,,... A@@,;rsiiSSiiiir..:,.. ..,:;;;;rsiri&###@#@@@@@@@@@@@@@2r293iH #255issiiSSSiisr;;;;::;,:;;;;rrrrriBHsssi;,;rrrr;;;:::,,,.. .,::;;rrrs2BMBMMMMBMM#@@@@@@@#9XS292A''') print('''The way I see it, our fates appear to be intertwined. In a land brimming with Hollows, could that really be mere chance? So, what do you say? Why not help one another on this lonely journey?''') choice = input('Choose fellow warrior.\nYes or No?\n').lower() if choice == 'yes': print('Lets get going then.') print('I am bored now, so bye lul.') else: print('Ahh warrior, so you decided to continue your own adventure. \ Then I shall not bother you for I too have to seek my own sun')

98.785714

117

0.520297

1,119

9,681

4.50134

0.54513

0.003176

0.001191

0

0.134495

0.140585

9,681

97

118

99.804124

0.470913

0

0.755319

0.974176

0.654271

0

1

0

false

0

0.053191

0

null

0

1

0

1

null

0

4

aaec161ee5100f375e91e1439bc4356d91007889

51

py

Python

types/__init__.py

StepaTa/vkbottle

3b04a5343380cbabe782151e7cb1c1645a9fa9ce

[ "MIT" ]

null

types/__init__.py

StepaTa/vkbottle

3b04a5343380cbabe782151e7cb1c1645a9fa9ce

[ "MIT" ]

null

types/__init__.py

StepaTa/vkbottle

3b04a5343380cbabe782151e7cb1c1645a9fa9ce

[ "MIT" ]

null

from vkbottle.types.events.events_objects import *

25.5

50

0.843137

7

51

6

0.857143

0

0.078431

51

1

51

0.893617

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c91075949ddfabd86561cd3279603f37db742411

631

py

Python

day03/index.py

zhangyage/Python-oldboy

a95c1b465929e2be641e425fcb5e15b366800831

[ "Apache-2.0" ]

1

2020-06-04T08:44:09.000Z

day03/index.py

zhangyage/Python-oldboy

a95c1b465929e2be641e425fcb5e15b366800831

[ "Apache-2.0" ]

null

day03/index.py

zhangyage/Python-oldboy

a95c1b465929e2be641e425fcb5e15b366800831

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- ''' 在python文件中，如果我们要使用某个文件夹中的模块（py文件），这个文件必须是个包，及文件夹下面要有一个__init__的文件 ''' from day03 import demo #导入模块 demo.FOO() print 'index' ,__name__ #判断对应的文件是不是主文件 ''' def FOO(): print "看到我了吧" print 'demo' ,__name__ 当代码如上的情况时候，输出结果为：看到我了吧 demo day03.demo #通过木块导入的时候对应的__name__就是file.demo index __main__ ''' if __name__ == "__main__": #标准的入口程序都需要添加 pass print __file__ #输出 D:\workspace\Python-oldboy\day03\index.py #输出当前文件的路径 print __doc__ #输出在python文件中，如果我们要使用某个文件夹中的模块（py文件），这个文件必须是个包，及文件夹下面要有一个__init__的文件 #输出文件的注释

21.033333

99

0.678288

70

631

5.542857

0.628571

0.103093

0.149485

0.201031

0.237113

0

0.013944

0.204437

631

29

100

21.758621

0.758964

0.315372

0

0.068063

0

null

0.142857

null

0.428571

0

null

0

1

0

null

0

1

0

1

0

1

0

4

c93cc53cc7be79b43e47e38ea8af872d051ae909

1,855

py

Python

src/python/T0/WMBS/Oracle/RunLumiCloseout/CheckActiveSplitLumis.py

silviodonato/T0

a093729d08b31175ed35cd20e889bd7094ce152a

[ "Apache-2.0" ]

6

2016-03-09T14:36:19.000Z

2021-07-27T01:28:00.000Z

src/python/T0/WMBS/Oracle/RunLumiCloseout/CheckActiveSplitLumis.py

silviodonato/T0

a093729d08b31175ed35cd20e889bd7094ce152a

[ "Apache-2.0" ]

193

2015-01-07T21:03:43.000Z

2022-03-31T12:22:18.000Z

src/python/T0/WMBS/Oracle/RunLumiCloseout/CheckActiveSplitLumis.py

silviodonato/T0

a093729d08b31175ed35cd20e889bd7094ce152a

[ "Apache-2.0" ]

36

2015-01-28T19:01:54.000Z

2021-12-15T17:18:20.000Z

""" _CheckActiveSplitLumis_ Oracle implementation of CheckActiveSplitLumis Check active split lumis for completetion and delete if complete. An active split lumi is complete if the number of complete file records is equal to the total numbers of streamer files in that lumi. """ import time from WMCore.Database.DBFormatter import DBFormatter class CheckActiveSplitLumis(DBFormatter): def execute(self, conn = None, transaction = False): sql = """DELETE FROM lumi_section_split_active WHERE ( lumi_section_split_active.subscription, lumi_section_split_active.run_id, lumi_section_split_active.lumi_id ) IN ( SELECT lumi_section_split_active.subscription, lumi_section_split_active.run_id, lumi_section_split_active.lumi_id FROM lumi_section_split_active INNER JOIN wmbs_sub_files_complete ON wmbs_sub_files_complete.subscription = lumi_section_split_active.subscription INNER JOIN wmbs_file_runlumi_map ON wmbs_file_runlumi_map.fileid = wmbs_sub_files_complete.fileid AND wmbs_file_runlumi_map.run = lumi_section_split_active.run_id AND wmbs_file_runlumi_map.lumi = lumi_section_split_active.lumi_id GROUP BY lumi_section_split_active.subscription, lumi_section_split_active.run_id, lumi_section_split_active.lumi_id HAVING COUNT(*) = MAX(lumi_section_split_active.nfiles) ) """ self.dbi.processData(sql, binds = {}, conn = conn, transaction = transaction) return

39.468085

98

0.628571

202

1,855

5.39604

0.336634

0.151376

0.220183

0.302752

0.423853

0.295413

0.244954

0

0.329919

1,855

46

99

40.326087

0.876911

0.14717

0

0.178571

0

0.795931

0.441195

0

1

0.035714

false

0

0.071429

0

0.178571

0

null

0

1

0

1

null

0

4

c955a0e7146a2734a9da84a958ac041c3a693d74

159

py

Python

alicefluentcheck/chain.py

KrapivinAndrey/YaAlice_FluentTesting

41317766fac51f7d1fcd947b02e1e75a6c3c4158

[ "MIT" ]

null

alicefluentcheck/chain.py

KrapivinAndrey/YaAlice_FluentTesting

41317766fac51f7d1fcd947b02e1e75a6c3c4158

[ "MIT" ]

1

2022-02-19T16:47:47.000Z

alicefluentcheck/chain.py

KrapivinAndrey/YaAlice_FluentTesting

41317766fac51f7d1fcd947b02e1e75a6c3c4158

[ "MIT" ]

null

from functools import wraps def chained(fn): @wraps(fn) def new(*args, **kwargs): fn(*args, **kwargs) return args[0] return new

14.454545

29

0.572327

21

159

4.333333

0.571429

0.21978

0

0.008929

0.295597

159

10

30

15.9

0.803571

0

1

0.285714

false

0

0.142857

0

0.714286

0

1

0

null

1

0

null

0

1

0

1

0

4

c9610727493c3a447e20463b0ec69064eed64ed8

39

py

Python

Lista4_01.py

NormanDeveloper/Lista4_Python

0b875026cac146145d52a1acdd3f3a05af2d9ccb

[ "MIT" ]

1

2018-09-15T17:50:54.000Z

Lista4_01.py

NormanDeveloper/Lista4_Python

0b875026cac146145d52a1acdd3f3a05af2d9ccb

[ "MIT" ]

null

Lista4_01.py

NormanDeveloper/Lista4_Python

0b875026cac146145d52a1acdd3f3a05af2d9ccb

[ "MIT" ]

null

lista = [1, 2, 3, 4, 5] print(lista)

13

24

0.512821

8

39

2.5

0.875

0

0.172414

0.25641

39

2

25

19.5

0.517241

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

c963707c4cb0ec5949cf11f3b84cb2f8f29a0528

91

py

Python

StudyLog/apps.py

FrodoFK/ListShare

b5816688ad208afa9747303c3731bd91281b5e0a

[ "MIT" ]

null

StudyLog/apps.py

FrodoFK/ListShare

b5816688ad208afa9747303c3731bd91281b5e0a

[ "MIT" ]

null

StudyLog/apps.py

FrodoFK/ListShare

b5816688ad208afa9747303c3731bd91281b5e0a

[ "MIT" ]

null

from django.apps import AppConfig class StudyLogConfig(AppConfig): name = 'StudyLog'

15.166667

33

0.758242

10

91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

0

0.087912

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a30f501f2a9525f67df40570bf4add7262a2e0ed

144

py

Python

setup.py

LaudateCorpus1/ppo-ewma

625dac7aceb9fb8bfdc3eff9dba597ec8f685ac7

[ "MIT" ]

11

2021-10-06T01:04:24.000Z

2022-02-21T11:54:19.000Z

setup.py

LaudateCorpus1/ppo-ewma

625dac7aceb9fb8bfdc3eff9dba597ec8f685ac7

[ "MIT" ]

null

setup.py

LaudateCorpus1/ppo-ewma

625dac7aceb9fb8bfdc3eff9dba597ec8f685ac7

[ "MIT" ]

2

2021-12-24T04:43:11.000Z

2022-02-02T08:11:05.000Z

from setuptools import setup, find_packages import numpy as np setup( name='ppo-ewma', packages=find_packages(), version='0.0.1', )

18

43

0.694444

21

144

4.666667

0.714286

0.244898

0

0.025424

0.180556

144

8

44

18

0.805085

0

0.089655

0

1

0

true

0

0.285714

0

0.285714

0

1

0

null

1

0

1

0

null

0

1

0

4

a338a035b1d7784f847a9db5cb326fe19932730d

329

py

Python

Filas_Columnas.py

allgonzalez/LFP_Proyecto1

162ec34cc0d9be45c55092623906e03af8af3495

[ "MIT" ]

null

Filas_Columnas.py

allgonzalez/LFP_Proyecto1

162ec34cc0d9be45c55092623906e03af8af3495

[ "MIT" ]

null

Filas_Columnas.py

allgonzalez/LFP_Proyecto1

162ec34cc0d9be45c55092623906e03af8af3495

[ "MIT" ]

null

class FilasColumnas: def __init__(self, nombre, filas, columnas): self.nombre = nombre self.filas = filas self.columnas = columnas def getNombre(self): return self.nombre def getFilas(self): return self.filas def getColumnas(self): return self.filas

21.933333

48

0.598784

35

329

5.514286

0.342857

0.15544

0.217617

0.196891

0

0.325228

329

15

49

21.933333

0.869369

0

0.181818

0

1

0.363636

false

0

0.272727

0.727273

0

null

0

1

0

null

0

1

0

1

0

4

a33acbc60186f7938030537dd70d74eb03a07c27

182

py

Python

test_bd.py

iurii-anfinogenov/test_for_roox

055a5cd5579055f1f40a6ca6fc2dba3809269d18

[ "MIT" ]

null

test_bd.py

iurii-anfinogenov/test_for_roox

055a5cd5579055f1f40a6ca6fc2dba3809269d18

[ "MIT" ]

null

test_bd.py

iurii-anfinogenov/test_for_roox

055a5cd5579055f1f40a6ca6fc2dba3809269d18

[ "MIT" ]

null

import pytest from bd import create_db def test_create_db_check_file_sql(): with pytest.raises(FileNotFoundError): file = open("sqlite1_create_tables.sql", "r")

26

57

0.71978

25

182

4.92

0.72

0.130081

0

0.006803

0.192308

182

6

58

30.333333

0.829932

0

0.142857

0.137363

0

1

0.2

false

0

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a38e4357a441456a80f1586bd63bdac04526923d

278

py

Python

src/profiles/admin.py

tingcar/PSEP

0a63ba14f034ee0b130a5b33aa349722ea821bfc

[ "Apache-2.0" ]

null

src/profiles/admin.py

tingcar/PSEP

0a63ba14f034ee0b130a5b33aa349722ea821bfc

[ "Apache-2.0" ]

null

src/profiles/admin.py

tingcar/PSEP

0a63ba14f034ee0b130a5b33aa349722ea821bfc

[ "Apache-2.0" ]

null

from django.contrib import admin # Register your models here. from .models import Profile # Register your models here. # Register your models here. class ProfileAdmin(admin.ModelAdmin): class Meta: model = Profile admin.site.register(Profile, ProfileAdmin)

25.272727

42

0.741007

34

278

6.058824

0.470588

0.174757

0.262136

0.320388

0

0.190647

278

11

42

25.272727

0.915556

0.28777

0

1

0

false

0

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

a3a0a334f6a58ed3d0b0415cb30f4f7ebf053c35

151

py

Python

pytest_board/__main__.py

kuss/pytest-convey

46ec70721e7403d43465f11795da09053e5a963e

[ "MIT" ]

7

2019-08-16T06:30:12.000Z

2021-02-09T22:45:27.000Z

pytest_board/__main__.py

kuss/pytest-board

46ec70721e7403d43465f11795da09053e5a963e

[ "MIT" ]

1

2021-10-15T11:08:15.000Z

pytest_board/__main__.py

kuss/pytest-convey

46ec70721e7403d43465f11795da09053e5a963e

[ "MIT" ]

null

import os import sys if __name__ == '__main__': sys.path.append(os.path.dirname(__file__)) from pytest_board.command import main main()

15.1

46

0.701987

21

151

4.428571

0.666667

0

0.192053

151

9

47

16.777778

0.762295

0

0.05298

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a3a379608cf81ffb35d0f0617ef261650dd1f72d

78

py

Python

oAuthApp/__init__.py

GeirOwe/pyIntermediate

5bc4520ec3f2cc085b95b20b11eac1803b273e5e

[ "MIT" ]

null

oAuthApp/__init__.py

GeirOwe/pyIntermediate

5bc4520ec3f2cc085b95b20b11eac1803b273e5e

[ "MIT" ]

null

oAuthApp/__init__.py

GeirOwe/pyIntermediate

5bc4520ec3f2cc085b95b20b11eac1803b273e5e

[ "MIT" ]

null

from flask import Flask app = Flask(__name__) from oAuthApp import oauthMain

15.6

30

0.807692

11

78

5.363636

0.636364

0

0.153846

78

5

30

15.6

0.893939

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6e553e35d7d57b03c252a44f1fcbd2e6d39108c2

207

py

Python

{{cookiecutter.project_slug}}/tests/test_{{cookiecutter.project_core_dir}}.py

jonatasleon/cookiecutter-qmd-flask

77a0a431bd87a61a78f845c347d05131e41e5631

[ "MIT" ]

null

{{cookiecutter.project_slug}}/tests/test_{{cookiecutter.project_core_dir}}.py

jonatasleon/cookiecutter-qmd-flask

77a0a431bd87a61a78f845c347d05131e41e5631

[ "MIT" ]

null

{{cookiecutter.project_slug}}/tests/test_{{cookiecutter.project_core_dir}}.py

jonatasleon/cookiecutter-qmd-flask

77a0a431bd87a61a78f845c347d05131e41e5631

[ "MIT" ]

null

from flask import url_for def test_index(client): assert client.get(url_for('site.index')).status_code == 200 def test_admin(client): assert client.get(url_for('admin.index')).status_code == 200

20.7

64

0.729469

33

207

4.363636

0.484848

0.125

0.25

0.291667

0.375

0

0.03352

0.135266

207

9

65

23

0.77095

0

0.101449

0

0.4

1

0.4

false

0

0.2

0

0.6

0

null

0

1

0

1

0

null

0

1

0

4

6e6cbbe60ccf1e6469dd4466e18b31a12fd32e55

9,942

py

Python

bin/simulate_users.py

njunge94/timeseries-thesis

82b2cdc273e4dabcca0f3d8ae33c281691c3c7ed

[ "MIT" ]

1

2021-12-29T04:26:28.000Z

bin/simulate_users.py

njunge94/timeseries-thesis

82b2cdc273e4dabcca0f3d8ae33c281691c3c7ed

[ "MIT" ]

null

bin/simulate_users.py

njunge94/timeseries-thesis

82b2cdc273e4dabcca0f3d8ae33c281691c3c7ed

[ "MIT" ]

1

2021-12-29T04:27:17.000Z

import pandas as pd import os import yaml import argparse import matplotlib.pyplot as plt from regularity_analysis.user_simulations import * from regularity_analysis.feature_extraction import * stat_funcs = {"apen": approximate_entropy, "sampen": sample_entropy, "intrepen": integer_representation_entropy, "permen": permutation_entropy, "pse": classical_periodogram_entropy, "wse": welch_entropy, "lse": lombscargle_entropy, "shannon": shannon_entropy, "shannon_markov": shannon_markov_entropy} def simulate_users_by_noisefrac(num_users=100, num_fracs=50, ts_length=1000, periodicity=7, success_prob=0.14): stats = np.zeros((num_fracs,11)) sds = np.zeros((num_fracs,11)) noise_fracs = np.linspace(0,1,num_fracs, endpoint=True) for k, frac in enumerate(noise_fracs): res = np.zeros((num_users, 11)) for i in range(num_users): user = simulate_gym_user(num_days=ts_length, noise_frac=frac, periodicity=periodicity, success_prob=success_prob) user_p = get_periodogram(user) user_w = get_welch_periodogram(user) res[i, 0] = approximate_entropy(user) res[i, 1] = sample_entropy(user) res[i, 2] = permutation_entropy(user) res[i, 3] = approximate_entropy(user_p) res[i, 4] = sample_entropy(user_p) res[i, 5] = permutation_entropy(user_p) res[i, 6] = fourier_spectrum_entropy(user_p) res[i, 7] = approximate_entropy(user_w) res[i, 8] = sample_entropy(user_w) res[i, 9] = permutation_entropy(user_w) res[i, 10]= fourier_spectrum_entropy(user_w) stats[k,:] = np.mean(res, axis=0) sds[k,:] = np.std(res, axis=0) dpi = 300 style = "fivethirtyeight" out_dir = "./plots/ch5_plots/" out_name = "binary_entropy_metrics" f_out_name = "periodogram_entropy_metrics" w_out_name = "welch_entropy_metrics" ext = ".pdf" if not os.path.exists(out_dir): os.mkdir(out_dir) with plt.style.context(style): fig1, ax1 = plt.subplots(figsize=(8, 5), dpi=dpi) ax1.set_title('Simulated Binary Timeseries Statistics') apen_series = pd.Series(stats[:,0], index=noise_fracs) apen_sds = pd.Series(sds[:,0], index=noise_fracs) sampen_series = pd.Series(stats[:,1], index=noise_fracs) sampen_sds = pd.Series(sds[:,1], index=noise_fracs) permen_series = pd.Series(stats[:,2], index=noise_fracs) permen_sds = pd.Series(sds[:,2], index=noise_fracs) apen_series.plot(ax=ax1, label="ApEn(m=2,r=0.2)", yerr=apen_sds, capsize=4) sampen_series.plot(ax=ax1, label="SampEn(m=2,r=0.2)", yerr=sampen_sds, capsize=4) permen_series.plot(ax=ax1, label="PermEn(n=5,lag=1)", yerr=permen_sds, capsize=4) ax1.set_ylabel('Statistical values') ax1.set_xlabel(r'Noise level $\varepsilon$') ax1.set_ylim(0,1) ax1.legend() fig1.savefig(out_dir + out_name + ext, format="pdf", bbox_inches="tight") with plt.style.context(style): fig2, ax2 = plt.subplots(figsize=(8, 5), dpi=dpi) ax2.set_title('Simulated Binary Timeseries Periodogram Statistics') apen_series = pd.Series(stats[:,3], index=noise_fracs) apen_sds = pd.Series(sds[:,3], index=noise_fracs) sampen_series = pd.Series(stats[:,4], index=noise_fracs) sampen_sds = pd.Series(sds[:,4], index=noise_fracs) permen_series = pd.Series(stats[:,5], index=noise_fracs) permen_sds = pd.Series(sds[:,5], index=noise_fracs) pse_series = pd.Series(stats[:,6], index=noise_fracs) pse_sds = pd.Series(sds[:,6], index=noise_fracs) apen_series.plot(ax=ax2, label="Periodogram ApEn(m=2,r=0.2)", yerr=apen_sds, capsize=4) sampen_series.plot(ax=ax2, label="Periodogram SampEn(m=2,r=0.2)", yerr=sampen_sds, capsize=4) permen_series.plot(ax=ax2, label="Periodogram PermEn(n=5,lag=1)", yerr=permen_sds, capsize=4) pse_series.plot(ax=ax2, label="Spectral Entropy", yerr=pse_sds, capsize=4) ax2.set_ylabel('Statistical values') ax2.set_xlabel(r'Noise level $\varepsilon$') ax2.set_ylim(0,1) ax2.legend() fig2.savefig(out_dir + f_out_name + ext, format="pdf", bbox_inches="tight") with plt.style.context(style): fig3, ax3 = plt.subplots(figsize=(8, 5), dpi=dpi) ax3.set_title('Simulated Binary Timeseries Welch Periodogram Statistics') apen_series = pd.Series(stats[:,7], index=noise_fracs) apen_sds = pd.Series(sds[:,7], index=noise_fracs) sampen_series = pd.Series(stats[:,8], index=noise_fracs) sampen_sds = pd.Series(sds[:,8], index=noise_fracs) permen_series = pd.Series(stats[:,9], index=noise_fracs) permen_sds = pd.Series(sds[:,9], index=noise_fracs) pse_series = pd.Series(stats[:,10], index=noise_fracs) pse_sds = pd.Series(sds[:,10], index=noise_fracs) apen_series.plot(ax=ax3, label="Welch Periodogram ApEn(m=2,r=0.2)", yerr=apen_sds, capsize=4) sampen_series.plot(ax=ax3, label="Welch Periodogram SampEn(m=2,r=0.2)", yerr=sampen_sds, capsize=4) permen_series.plot(ax=ax3, label="Welch Periodogram PermEn(n=5,lag=1)", yerr=permen_sds, capsize=4) pse_series.plot(ax=ax3, label="Welch Spectral Entropy", yerr=pse_sds, capsize=4) ax3.set_ylabel('Statistical values') ax3.set_xlabel(r'Noise level $\varepsilon$') ax3.set_ylim(0,1) ax3.legend() fig3.savefig(out_dir + w_out_name + ext, format="pdf", bbox_inches="tight") def simulate_users_by_length(num_users=1, ts_length=1000, periodicity=7, success_prob=0.14): stats = np.zeros((100,11)) #entirely regular user noise_frac = 0.0 contract_lens = np.linspace(30, 1000, num=100, dtype=int) for k, c_len in enumerate(contract_lens): res = np.zeros((num_users, 11)) for i in range(num_users): user = simulate_gym_user(num_days=c_len, noise_frac=noise_frac, periodicity=periodicity, success_prob=success_prob) user_p = get_periodogram(user) user_w = get_welch_periodogram(user) res[i, 0] = approximate_entropy(user) res[i, 1] = sample_entropy(user) res[i, 2] = permutation_entropy(user) res[i, 3] = approximate_entropy(user_p) res[i, 4] = sample_entropy(user_p) res[i, 5] = permutation_entropy(user_p) res[i, 6] = fourier_spectrum_entropy(user_p) res[i, 7] = approximate_entropy(user_w) res[i, 8] = sample_entropy(user_w) res[i, 9] = permutation_entropy(user_w) res[i, 10]= fourier_spectrum_entropy(user_w) stats[k,:] = np.mean(res, axis=0) dpi = 300 style = "fivethirtyeight" out_dir = "./plots/ch5_plots/" out_name = "binary_reg_entropy_metrics" f_out_name = "periodogram_reg_entropy_metrics" w_out_name = "welch_reg_entropy_metrics" ext = ".pdf" if not os.path.exists(out_dir): os.mkdir(out_dir) with plt.style.context(style): fig1, ax1 = plt.subplots(figsize=(8, 5), dpi=dpi) ax1.set_title('Simulated Binary Timeseries Statistics') apen_series = pd.Series(stats[:,0], index=contract_lens) sampen_series = pd.Series(stats[:,1], index=contract_lens) permen_series = pd.Series(stats[:,2], index=contract_lens) apen_series.plot(ax=ax1, label="ApEn(m=2,r=0.2)") sampen_series.plot(ax=ax1, label="SampEn(m=2,r=0.2)") permen_series.plot(ax=ax1, label="PermEn(n=5,lag=1)") ax1.set_ylabel('Statistical values') ax1.set_xlabel('Contract duration (days)') ax1.set_ylim(0,1) ax1.legend() fig1.savefig(out_dir + out_name + ext, format="pdf", bbox_inches="tight") with plt.style.context(style): fig2, ax2 = plt.subplots(figsize=(8, 5), dpi=dpi) ax2.set_title('Simulated Binary Timeseries Periodogram Statistics') apen_series = pd.Series(stats[:,3], index=contract_lens) sampen_series = pd.Series(stats[:,4], index=contract_lens) permen_series = pd.Series(stats[:,5], index=contract_lens) pse_series = pd.Series(stats[:,6], index=contract_lens) apen_series.plot(ax=ax2, label="Periodogram ApEn(m=2,r=0.2)") sampen_series.plot(ax=ax2, label="Periodogram SampEn(m=2,r=0.2)") permen_series.plot(ax=ax2, label="Periodogram PermEn(n=5,lag=1)") pse_series.plot(ax=ax2, label="Spectral Entropy") ax2.set_ylabel('Statistical values') ax2.set_xlabel('Contract duration (days)') ax2.set_ylim(0,1) ax2.legend() fig2.savefig(out_dir + f_out_name + ext, format="pdf", bbox_inches="tight") with plt.style.context(style): fig3, ax3 = plt.subplots(figsize=(8,5), dpi=dpi) ax3.set_title('Simulated Binary Timeseries Welch Periodogram Statistics') apen_series = pd.Series(stats[:,7], index=contract_lens) sampen_series = pd.Series(stats[:,8], index=contract_lens) permen_series = pd.Series(stats[:,9], index=contract_lens) pse_series = pd.Series(stats[:,10], index=contract_lens) apen_series.plot(ax=ax3, label="Welch Periodogram ApEn(m=2,r=0.2)") sampen_series.plot(ax=ax3, label="Welch Periodogram SampEn(m=2,r=0.2)") permen_series.plot(ax=ax3, label="Welch Periodogram PermEn(n=5,lag=1)") pse_series.plot(ax=ax3, label="Welch Periodogram Entropy") ax3.set_ylabel('Statistical values') ax3.set_xlabel('Contract duration (days)') ax3.set_ylim(0,1) ax3.legend() fig3.savefig(out_dir + w_out_name + ext, format="pdf", bbox_inches="tight") if __name__ == "__main__": simulate_users_by_noisefrac() simulate_users_by_length()

42.487179

301

0.651177

1,435

9,942

4.300348

0.113589

0.042781

0.049911

0.067736

0.873116

0.859018

0.829363

0.796629

0.58937

0

0.03465

0.21042

9,942

233

302

42.669528

0.751465

0.002112

0

0.485876

0

0.144355

0.015323

0

1

0.011299

false

0

0.039548

0

0.050847

0

null

0

1

0

null

0

4

6e9f158643bba99ae2ecda8f29bc90d50387e3ad

686

py

Python

substring_match.py

carlb15/Python

fa58835d532126c4cfb0baf4cb8d9d8a0e2703d2

[ "MIT" ]

2

2017-05-04T05:44:24.000Z

2019-09-29T23:32:28.000Z

substring_match.py

carlb15/Python

fa58835d532126c4cfb0baf4cb8d9d8a0e2703d2

[ "MIT" ]

null

substring_match.py

carlb15/Python

fa58835d532126c4cfb0baf4cb8d9d8a0e2703d2

[ "MIT" ]

null

def substring_match(T, S): """ Simple substring matching. O(|S| * |T - S|) Time O(1) Space """ return any([T[idx:idx+len(S)] == S for idx in range(len(T) - len(S) + 1)]) """ for idx in range(len(T) - len(S) + 1): print(T[idx:idx + len(S)], S) if T[idx:idx + len(S)] == S: return True return False """ if __name__=="__main__": print("Expect True ", substring_match('hello world', 'hello')) print("Expect True ", substring_match('hello world', 'world')) print("Expect True ", substring_match('hello world', 'wor')) print("Expect False ", substring_match('hello world', 'blue')) print("Expect False ",substring_match('hello world', 'word'))

28.583333

76

0.606414

103

686

3.902913

0.291262

0.208955

0.236318

0.298507

0.689055

0.599502

0.109453

0

0.005405

0.190962

686

23

77

29.826087

0.718919

0.087464

0

0.316703

0

1

0.125

false

0

0.25

0.625

0

null

1

0

null

0

1

0

4

6ec8152c182a1551be1519016ff5a42a50d04163

102

py

Python

backend/schemas/pilot_type.py

jflad17/pilot_logbook

f75c9866d073c33d001ae2d0eb0994496eb49045

[ "MIT" ]

1

2022-03-25T23:41:37.000Z

backend/schemas/pilot_type.py

jflad17/pilot_logbook

f75c9866d073c33d001ae2d0eb0994496eb49045

[ "MIT" ]

null

backend/schemas/pilot_type.py

jflad17/pilot_logbook

f75c9866d073c33d001ae2d0eb0994496eb49045

[ "MIT" ]

null

from .base import Base class PilotType(Base): idPilotType: int shortName: str name: str

12.75

22

0.676471

13

102

5.307692

0.769231

0

0.254902

102

7

23

14.571429

0.907895

0

1

0

true

0

0.2

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6ed049c0b6137133b7c6be5e822cac87a01eaecb

7,624

py

Python

tests/serializer/test_message_serializer.py

oscarjohansson94/python-schema-registry-client

7ed99003a200d167e8a8bd66f34af8d51ad1de1d

[ "MIT" ]

null

tests/serializer/test_message_serializer.py

oscarjohansson94/python-schema-registry-client

7ed99003a200d167e8a8bd66f34af8d51ad1de1d

[ "MIT" ]

null

tests/serializer/test_message_serializer.py

oscarjohansson94/python-schema-registry-client

7ed99003a200d167e8a8bd66f34af8d51ad1de1d

[ "MIT" ]

null

import struct import jsonschema import pytest from schema_registry.client import schema from tests import data_gen def assertAvroMessageIsSame(message, expected, schema_id, avro_message_serializer): assert message assert len(message) > 5 magic, sid = struct.unpack(">bI", message[0:5]) assert magic == 0 assert sid == schema_id decoded = avro_message_serializer.decode_message(message) assert decoded assert decoded == expected def test_avro_encode_with_schema_id(client, avro_message_serializer): basic = schema.AvroSchema(data_gen.AVRO_BASIC_SCHEMA) subject = "test-avro-basic-schema" schema_id = client.register(subject, basic) records = data_gen.AVRO_BASIC_ITEMS for record in records: message = avro_message_serializer.encode_record_with_schema_id(schema_id, record) assertAvroMessageIsSame(message, record, schema_id, avro_message_serializer) adv = schema.AvroSchema(data_gen.AVRO_ADVANCED_SCHEMA) subject = "test-avro-advance-schema" adv_schema_id = client.register(subject, adv) assert adv_schema_id != schema_id records = data_gen.AVRO_ADVANCED_ITEMS for record in records: message = avro_message_serializer.encode_record_with_schema_id(adv_schema_id, record) assertAvroMessageIsSame(message, record, adv_schema_id, avro_message_serializer) def test_avro_encode_logical_types(client, avro_message_serializer): logical_types_schema = schema.AvroSchema(data_gen.AVRO_LOGICAL_TYPES_SCHEMA) subject = "test-logical-types-schema" schema_id = client.register(subject, logical_types_schema) record = data_gen.create_logical_item() message = avro_message_serializer.encode_record_with_schema_id(schema_id, record) decoded = avro_message_serializer.decode_message(message) decoded_datetime = decoded.get("metadata").get("timestamp") timestamp = record.get("metadata").get("timestamp") decoded_total = decoded.get("metadata").get("total") total = record.get("metadata").get("total") assert timestamp == decoded_datetime.replace(tzinfo=None) assert total == decoded_total def test_avro_encode_decode_with_schema_from_json(avro_message_serializer, avro_deployment_schema): deployment_record = {"image": "registry.gitlab.com/my-project:1.0.0", "replicas": 1, "port": 8080} message_encoded = avro_message_serializer.encode_record_with_schema( "avro-deployment", avro_deployment_schema, deployment_record ) assert message_encoded assert len(message_encoded) > 5 assert isinstance(message_encoded, bytes) # now decode the message message_decoded = avro_message_serializer.decode_message(message_encoded) assert message_decoded == deployment_record # def test_encode_with_schema_string(avro_message_serializer): # deployment_record = {"image": "registry.gitlab.com/my-project:1.0.0", "replicas": 1, "port": 8080} # schema = """{ # "type": "record", # "namespace": "com.kubertenes.v2", # "name": "AvroDeploymentV2", # "fields": [ # {"name": "image", "type": "string"}, # {"name": "replicas", "type": "int"}, # {"name": "host", "type": "string", "default": "localhost"}, # {"name": "port", "type": "int"} # ] # }""" # message_encoded = avro_message_serializer.encode_record_with_schema( # "avro-deployment", schema, deployment_record # ) # assert message_encoded # assert len(message_encoded) > 5 # assert isinstance(message_encoded, bytes) # # now decode the message # message_decoded = avro_message_serializer.decode_message(message_encoded) # assert message_decoded == deployment_record def test_avro_fail_encode_with_schema(avro_message_serializer, avro_deployment_schema): bad_record = {"image": "registry.gitlab.com/my-project:1.0.0", "replicas": "1", "port": "8080"} with pytest.raises(TypeError): avro_message_serializer.encode_record_with_schema("avro-deployment", avro_deployment_schema, bad_record) def test_avro_encode_record_with_schema(client, avro_message_serializer): topic = "test" basic = schema.AvroSchema(data_gen.AVRO_BASIC_SCHEMA) subject = "test-avro-value" schema_id = client.register(subject, basic) records = data_gen.AVRO_BASIC_ITEMS for record in records: message = avro_message_serializer.encode_record_with_schema(topic, basic, record) assertAvroMessageIsSame(message, record, schema_id, avro_message_serializer) def test_avro_decode_none(avro_message_serializer): """ "null/None messages should decode to None""" assert avro_message_serializer.decode_message(None) is None def assertJsonMessageIsSame(message, expected, schema_id, json_message_serializer): assert message assert len(message) > 5 magic, sid = struct.unpack(">bI", message[0:5]) assert magic == 0 assert sid == schema_id decoded = json_message_serializer.decode_message(message) assert decoded assert decoded == expected def test_json_encode_with_schema_id(client, json_message_serializer): basic = schema.JsonSchema(data_gen.JSON_BASIC_SCHEMA) subject = "test-json-basic-schema" schema_id = client.register(subject, basic) records = data_gen.JSON_BASIC_ITEMS for record in records: message = json_message_serializer.encode_record_with_schema_id(schema_id, record) assertJsonMessageIsSame(message, record, schema_id, json_message_serializer) adv = schema.JsonSchema(data_gen.JSON_ADVANCED_SCHEMA) subject = "test-json-advance-schema" adv_schema_id = client.register(subject, adv) assert adv_schema_id != schema_id records = data_gen.JSON_ADVANCED_ITEMS for record in records: message = json_message_serializer.encode_record_with_schema_id(adv_schema_id, record) assertJsonMessageIsSame(message, record, adv_schema_id, json_message_serializer) def test_json_encode_decode_with_schema_from_json(json_message_serializer, json_deployment_schema): deployment_record = {"image": "registry.gitlab.com/my-project:1.0.0", "replicas": 1, "port": 8080} message_encoded = json_message_serializer.encode_record_with_schema( "json-deployment", json_deployment_schema, deployment_record ) assert message_encoded assert len(message_encoded) > 5 assert isinstance(message_encoded, bytes) # now decode the message message_decoded = json_message_serializer.decode_message(message_encoded) assert message_decoded == deployment_record def test_json_fail_encode_with_schema(json_message_serializer, json_deployment_schema): bad_record = {"image": "registry.gitlab.com/my-project:1.0.0", "replicas": "1", "port": "8080"} with pytest.raises(jsonschema.exceptions.ValidationError): json_message_serializer.encode_record_with_schema("json-deployment", json_deployment_schema, bad_record) def test_json_encode_record_with_schema(client, json_message_serializer): topic = "test" basic = schema.JsonSchema(data_gen.JSON_BASIC_SCHEMA) subject = "test-json-value" schema_id = client.register(subject, basic) records = data_gen.JSON_BASIC_ITEMS for record in records: message = json_message_serializer.encode_record_with_schema(topic, basic, record) assertJsonMessageIsSame(message, record, schema_id, json_message_serializer) def test_json_decode_none(json_message_serializer): """ "null/None messages should decode to None""" assert json_message_serializer.decode_message(None) is None

36.830918

112

0.745934

946

7,624

5.669133

0.102537

0.126795

0.090062

0.057431

0.810181

0.7686

0.703151

0.674063

0.655044

0.600597

0

0.008263

0.158709

7,624

206

113

37.009709

0.827877

0.139559

0

0.491525

0

0.077112

0.040012

0

0.288136

1

0.110169

false

0

0.042373

0

0.152542

0

null

0

1

0

1

0

null

0

4

6edcda5d69c9c695ec35f9921e755e59297c2d45

207

py

Python

main/admin.py

zhongzhiqiang/super_service_api

ac988daa58b040e1a451818155357d15895015a3

[ "BSD-2-Clause" ]

1

2018-06-27T08:16:34.000Z

main/admin.py

zhongzhiqiang/super_service_api

ac988daa58b040e1a451818155357d15895015a3

[ "BSD-2-Clause" ]

null

main/admin.py

zhongzhiqiang/super_service_api

ac988daa58b040e1a451818155357d15895015a3

[ "BSD-2-Clause" ]

3

2018-06-12T06:30:29.000Z

2018-06-12T13:57:02.000Z

# coding:utf-8 from django.contrib import admin from main.models import CustomerProfile, Maintainer, Order admin.site.register(CustomerProfile) admin.site.register(Maintainer) admin.site.register(Order)

18.818182

58

0.816425

27

207

6.259259

0.555556

0.159763

0.301775

0

0.005319

0.091787

207

10

59

20.7

0.893617

0.057971

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

4

42c4dcda6f026c1b93909bf16c94e869c1cb01f5

11,888

py

Python

cardboard/cards/sets/commander.py

Julian/cardboard

6ab676d04b38bf9b0d0c4a849364159947b8ea7f

[ "MIT" ]

5

2015-03-23T10:25:40.000Z

2021-05-29T06:00:40.000Z

cardboard/cards/sets/commander.py

Julian/cardboard

6ab676d04b38bf9b0d0c4a849364159947b8ea7f

[ "MIT" ]

null

cardboard/cards/sets/commander.py

Julian/cardboard

6ab676d04b38bf9b0d0c4a849364159947b8ea7f

[ "MIT" ]

1

2019-02-17T14:45:29.000Z

from cardboard import types from cardboard.ability import ( AbilityNotImplemented, spell, activated, triggered, static ) from cardboard.cards import card, common, keywords, match @card("Tariel, Reckoner of Souls") def tariel_reckoner_of_souls(card, abilities): def tariel_reckoner_of_souls(): return AbilityNotImplemented def tariel_reckoner_of_souls(): return AbilityNotImplemented return tariel_reckoner_of_souls, tariel_reckoner_of_souls, @card("Damia, Sage of Stone") def damia_sage_of_stone(card, abilities): def damia_sage_of_stone(): return AbilityNotImplemented def damia_sage_of_stone(): return AbilityNotImplemented def damia_sage_of_stone(): return AbilityNotImplemented return damia_sage_of_stone, damia_sage_of_stone, damia_sage_of_stone, @card("Vow of Flight") def vow_of_flight(card, abilities): def vow_of_flight(): return AbilityNotImplemented def vow_of_flight(): return AbilityNotImplemented return vow_of_flight, vow_of_flight, @card("Celestial Force") def celestial_force(card, abilities): def celestial_force(): return AbilityNotImplemented return celestial_force, @card("Zedruu the Greathearted") def zedruu_the_greathearted(card, abilities): def zedruu_the_greathearted(): return AbilityNotImplemented def zedruu_the_greathearted(): return AbilityNotImplemented return zedruu_the_greathearted, zedruu_the_greathearted, @card("Homeward Path") def homeward_path(card, abilities): def homeward_path(): return AbilityNotImplemented def homeward_path(): return AbilityNotImplemented return homeward_path, homeward_path, @card("Riddlekeeper") def riddlekeeper(card, abilities): def riddlekeeper(): return AbilityNotImplemented return riddlekeeper, @card("Karador, Ghost Chieftain") def karador_ghost_chieftain(card, abilities): def karador_ghost_chieftain(): return AbilityNotImplemented def karador_ghost_chieftain(): return AbilityNotImplemented return karador_ghost_chieftain, karador_ghost_chieftain, @card("Stranglehold") def stranglehold(card, abilities): def stranglehold(): return AbilityNotImplemented def stranglehold(): return AbilityNotImplemented return stranglehold, stranglehold, @card("Command Tower") def command_tower(card, abilities): def command_tower(): return AbilityNotImplemented return command_tower, @card("Martyr's Bond") def martyrs_bond(card, abilities): def martyrs_bond(): return AbilityNotImplemented return martyrs_bond, @card("Crescendo of War") def crescendo_of_war(card, abilities): def crescendo_of_war(): return AbilityNotImplemented def crescendo_of_war(): return AbilityNotImplemented def crescendo_of_war(): return AbilityNotImplemented return crescendo_of_war, crescendo_of_war, crescendo_of_war, @card("Shared Trauma") def shared_trauma(card, abilities): def shared_trauma(): return AbilityNotImplemented return shared_trauma, @card("Kaalia of the Vast") def kaalia_of_the_vast(card, abilities): def kaalia_of_the_vast(): return AbilityNotImplemented def kaalia_of_the_vast(): return AbilityNotImplemented return kaalia_of_the_vast, kaalia_of_the_vast, @card("Death by Dragons") def death_by_dragons(card, abilities): def death_by_dragons(): return AbilityNotImplemented return death_by_dragons, @card("Vow of Duty") def vow_of_duty(card, abilities): def vow_of_duty(): return AbilityNotImplemented def vow_of_duty(): return AbilityNotImplemented return vow_of_duty, vow_of_duty, @card("Tribute to the Wild") def tribute_to_the_wild(card, abilities): def tribute_to_the_wild(): return AbilityNotImplemented return tribute_to_the_wild, @card("The Mimeoplasm") def the_mimeoplasm(card, abilities): def the_mimeoplasm(): return AbilityNotImplemented return the_mimeoplasm, @card("Magmatic Force") def magmatic_force(card, abilities): def magmatic_force(): return AbilityNotImplemented return magmatic_force, @card("Trench Gorger") def trench_gorger(card, abilities): def trench_gorger(): return AbilityNotImplemented def trench_gorger(): return AbilityNotImplemented return trench_gorger, trench_gorger, @card("Vow of Wildness") def vow_of_wildness(card, abilities): def vow_of_wildness(): return AbilityNotImplemented def vow_of_wildness(): return AbilityNotImplemented return vow_of_wildness, vow_of_wildness, @card("Riku of Two Reflections") def riku_of_two_reflections(card, abilities): def riku_of_two_reflections(): return AbilityNotImplemented def riku_of_two_reflections(): return AbilityNotImplemented return riku_of_two_reflections, riku_of_two_reflections, @card("Hydra Omnivore") def hydra_omnivore(card, abilities): def hydra_omnivore(): return AbilityNotImplemented return hydra_omnivore, @card("Vow of Lightning") def vow_of_lightning(card, abilities): def vow_of_lightning(): return AbilityNotImplemented def vow_of_lightning(): return AbilityNotImplemented return vow_of_lightning, vow_of_lightning, @card("Acorn Catapult") def acorn_catapult(card, abilities): def acorn_catapult(): return AbilityNotImplemented return acorn_catapult, @card("Scavenging Ooze") def scavenging_ooze(card, abilities): def scavenging_ooze(): return AbilityNotImplemented return scavenging_ooze, @card("Mana-Charged Dragon") def manacharged_dragon(card, abilities): def manacharged_dragon(): return AbilityNotImplemented def manacharged_dragon(): return AbilityNotImplemented return manacharged_dragon, manacharged_dragon, @card("Basandra, Battle Seraph") def basandra_battle_seraph(card, abilities): def basandra_battle_seraph(): return AbilityNotImplemented def basandra_battle_seraph(): return AbilityNotImplemented def basandra_battle_seraph(): return AbilityNotImplemented return basandra_battle_seraph, basandra_battle_seraph, basandra_battle_seraph, @card("Edric, Spymaster of Trest") def edric_spymaster_of_trest(card, abilities): def edric_spymaster_of_trest(): return AbilityNotImplemented return edric_spymaster_of_trest, @card("Nin, the Pain Artist") def nin_the_pain_artist(card, abilities): def nin_the_pain_artist(): return AbilityNotImplemented return nin_the_pain_artist, @card("Ghave, Guru of Spores") def ghave_guru_of_spores(card, abilities): def ghave_guru_of_spores(): return AbilityNotImplemented def ghave_guru_of_spores(): return AbilityNotImplemented def ghave_guru_of_spores(): return AbilityNotImplemented return ghave_guru_of_spores, ghave_guru_of_spores, ghave_guru_of_spores, @card("Vow of Malice") def vow_of_malice(card, abilities): def vow_of_malice(): return AbilityNotImplemented def vow_of_malice(): return AbilityNotImplemented return vow_of_malice, vow_of_malice, @card("Scythe Specter") def scythe_specter(card, abilities): def scythe_specter(): return AbilityNotImplemented def scythe_specter(): return AbilityNotImplemented return scythe_specter, scythe_specter, @card("Alliance of Arms") def alliance_of_arms(card, abilities): def alliance_of_arms(): return AbilityNotImplemented return alliance_of_arms, @card("Hornet Queen") def hornet_queen(card, abilities): def hornet_queen(): return AbilityNotImplemented def hornet_queen(): return AbilityNotImplemented return hornet_queen, hornet_queen, @card("Collective Voyage") def collective_voyage(card, abilities): def collective_voyage(): return AbilityNotImplemented return collective_voyage, @card("Skullbriar, the Walking Grave") def skullbriar_the_walking_grave(card, abilities): def skullbriar_the_walking_grave(): return AbilityNotImplemented def skullbriar_the_walking_grave(): return AbilityNotImplemented def skullbriar_the_walking_grave(): return AbilityNotImplemented return skullbriar_the_walking_grave, skullbriar_the_walking_grave, skullbriar_the_walking_grave, @card("Spell Crumple") def spell_crumple(card, abilities): def spell_crumple(): return AbilityNotImplemented return spell_crumple, @card("Soul Snare") def soul_snare(card, abilities): def soul_snare(): return AbilityNotImplemented return soul_snare, @card("Vish Kal, Blood Arbiter") def vish_kal_blood_arbiter(card, abilities): def vish_kal_blood_arbiter(): return AbilityNotImplemented def vish_kal_blood_arbiter(): return AbilityNotImplemented def vish_kal_blood_arbiter(): return AbilityNotImplemented return vish_kal_blood_arbiter, vish_kal_blood_arbiter, vish_kal_blood_arbiter, @card("Sewer Nemesis") def sewer_nemesis(card, abilities): def sewer_nemesis(): return AbilityNotImplemented def sewer_nemesis(): return AbilityNotImplemented def sewer_nemesis(): return AbilityNotImplemented return sewer_nemesis, sewer_nemesis, sewer_nemesis, @card("Champion's Helm") def champions_helm(card, abilities): def champions_helm(): return AbilityNotImplemented def champions_helm(): return AbilityNotImplemented def champions_helm(): return AbilityNotImplemented return champions_helm, champions_helm, champions_helm, @card("Minds Aglow") def minds_aglow(card, abilities): def minds_aglow(): return AbilityNotImplemented return minds_aglow, @card("Ruhan of the Fomori") def ruhan_of_the_fomori(card, abilities): def ruhan_of_the_fomori(): return AbilityNotImplemented return ruhan_of_the_fomori, @card("Chaos Warp") def chaos_warp(card, abilities): def chaos_warp(): return AbilityNotImplemented return chaos_warp, @card("Archangel of Strife") def archangel_of_strife(card, abilities): def archangel_of_strife(): return AbilityNotImplemented def archangel_of_strife(): return AbilityNotImplemented def archangel_of_strife(): return AbilityNotImplemented def archangel_of_strife(): return AbilityNotImplemented return archangel_of_strife, archangel_of_strife, archangel_of_strife, archangel_of_strife, @card("Flusterstorm") def flusterstorm(card, abilities): def flusterstorm(): return AbilityNotImplemented def flusterstorm(): return AbilityNotImplemented return flusterstorm, flusterstorm, @card("Avatar of Slaughter") def avatar_of_slaughter(card, abilities): def avatar_of_slaughter(): return AbilityNotImplemented return avatar_of_slaughter, @card("Animar, Soul of Elements") def animar_soul_of_elements(card, abilities): def animar_soul_of_elements(): return AbilityNotImplemented def animar_soul_of_elements(): return AbilityNotImplemented def animar_soul_of_elements(): return AbilityNotImplemented return animar_soul_of_elements, animar_soul_of_elements, animar_soul_of_elements, @card("Syphon Flesh") def syphon_flesh(card, abilities): def syphon_flesh(): return AbilityNotImplemented return syphon_flesh, @card("Dread Cacodemon") def dread_cacodemon(card, abilities): def dread_cacodemon(): return AbilityNotImplemented return dread_cacodemon,

20.567474

100

0.734017

1,318

11,888

6.311836

0.098634

0.288857

0.098089

0.015386

0.474696

0.341267

0.254478

0.219377

0.184397

0.176223

0

0.195407

11,888

578

101

20.567474

0.869733

0

0.458333

0

0.070485

0

1

0.416667

false

0

0.008929

0.264881

0.842262

0

null

1

0

null

0

1

0

1

0

4

42c6fa0a495221722376ad9fc9d059a693ebcd43

61

py

Python

play.py

naegelejd/pyasteroid

8c4a5d200457e6ea8d050d0a755f3ed582f2edef

[ "MIT" ]

null

play.py

naegelejd/pyasteroid

8c4a5d200457e6ea8d050d0a755f3ed582f2edef

[ "MIT" ]

null

play.py

naegelejd/pyasteroid

8c4a5d200457e6ea8d050d0a755f3ed582f2edef

[ "MIT" ]

null

#!/usr/bin/env python import asteroids asteroids.main.main()

15.25

21

0.770492

9

61

5.222222

0.777778

0

0.081967

61

3

22

20.333333

0.839286

0.327869

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

42dc974d3366036b82775f0f8fd8a4482442e07a

62

py

Python

hello.py

namachan10777/practice

0a8fb99ad22b097c4d0812eb809fee3341de8140

[ "MIT" ]

null

hello.py

namachan10777/practice

0a8fb99ad22b097c4d0812eb809fee3341de8140

[ "MIT" ]

null

hello.py

namachan10777/practice

0a8fb99ad22b097c4d0812eb809fee3341de8140

[ "MIT" ]

null

#!/usr/bin/python print('Hello Git!') print("Nakano Masaki")

12.4

22

0.677419

9

62

4.666667

0.888889

0

0.096774

62

4

23

15.5

0.75

0.258065

0

0.511111

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

42fca00938d85ac01f53f2a31475769717b0cc3c

35

py

Python

dajaxice/__init__.py

APSL/django-dajaxice

447b4b13c9ed1b360849f95cc21e74c9c9d2f514

[ "BSD-3-Clause" ]

1

2015-01-25T23:10:39.000Z

dajaxice/__init__.py

APSL/django-dajaxice

447b4b13c9ed1b360849f95cc21e74c9c9d2f514

[ "BSD-3-Clause" ]

null

dajaxice/__init__.py

APSL/django-dajaxice

447b4b13c9ed1b360849f95cc21e74c9c9d2f514

[ "BSD-3-Clause" ]

null

__version__ = (0, 5, 4, 0, 'beta')

17.5

34

0.542857

6

35

2.5

0.833333

0

0.142857

0.2

35

1

35

0.392857

0

0.114286

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

6e13f498c651621edcb96308e1c97e1c1be8e30a

56

py

Python

crownstone_cloud/helpers/__init__.py

crownstone/crownstone-lib-python-cloud

c6a48ab8c6990c5c99d136d9a8cf1df01a7c094d

[ "MIT" ]

1

2020-05-29T23:45:15.000Z

crownstone_cloud/helpers/__init__.py

crownstone/crownstone-lib-python-cloud

c6a48ab8c6990c5c99d136d9a8cf1df01a7c094d

[ "MIT" ]

3

2021-11-09T15:36:48.000Z

2021-11-12T00:43:23.000Z

crownstone_cloud/helpers/__init__.py

crownstone/crownstone-lib-python-cloud

c6a48ab8c6990c5c99d136d9a8cf1df01a7c094d

[ "MIT" ]

1

2021-11-09T15:33:01.000Z

"""Init file for helpers folder in Crownstone cloud."""

28

55

0.732143

8

56

5.125

1

0

0.142857

56

1

56

0.854167

0.875

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

6e1b4e7fe8d5c34a3bb03d3486852fef86e285bd

4,994

py

Python

tests/test_image_manager.py

szkkteam/flask_mm

ea96899a41a0573e51792f1554550c6d77f22a07

[ "MIT" ]

1

2021-03-21T18:46:36.000Z

tests/test_image_manager.py

szkkteam/flask_mm

ea96899a41a0573e51792f1554550c6d77f22a07

[ "MIT" ]

null

tests/test_image_manager.py

szkkteam/flask_mm

ea96899a41a0573e51792f1554550c6d77f22a07

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Common Python library imports from __future__ import unicode_literals import os import io from PIL import Image # Pip package imports from flask import url_for import pytest # Internal package imports import flask_mm as mm from flask_mm.postprocess import Watermarker THUMB_WIDTH = 253 THUMB_HEIGHT = 220 POSTPROCESS_PARAMS = Watermarker("tests/flask.png", opacity=0.08, scale=0.2, position="c") @pytest.mark.parametrize("app_manager", [('local', 'image', { 'POSTPROCESS': POSTPROCESS_PARAMS })], indirect=True) class TestLocalImageManagerPostprocessWatermark: @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_basic_postprocess_watermark(self, app_manager, image, utils): st = mm.by_name() with open(image, 'rb') as fp: f = utils.filestorage('horse.jpg', fp) filename = st.save(f) assert st.exists(filename) st.delete(filename) @pytest.mark.parametrize("app_manager", [('local', 'image', {})], indirect=True) class TestLocalImageManagerPostprocess: @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_basic_watermark(self, app_manager, image, utils): st = mm.by_name() with open(image, 'rb') as fp: f = utils.filestorage('flask.jpg', fp) filename = st.save(f, postprocess=POSTPROCESS_PARAMS) assert st.exists(filename) st.delete(filename) @pytest.mark.parametrize("app_manager", [('local', 'image', { 'THUMBNAIL_SIZE': (THUMB_WIDTH,THUMB_HEIGHT,True) })], indirect=True) class TestLocalImageManagerThumbnailForced: #@pytest.mark.parametrize("image", [("tests/snow_terrain1.jpg"), ("tests/horse1.jpg"), ("tests/mogyi2.jpg")]) @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_save_thumbnail(self, app_manager, image, utils): st = mm.by_name() f = utils.file(Image.open(image)) filename = st.save(f, 'test.jpg') assert st.exists(filename) assert st.exists(st.generate_thumbnail_name(filename)) st.delete(filename) #@pytest.mark.parametrize("image", [("tests/snow_terrain1.jpg"), ("tests/horse1.jpg"), ("tests/mogyi2.jpg")]) @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_size_thumbnail(self, app_manager, image, utils): st = mm.by_name() f = utils.file(Image.open(image)) filename = st.save(f, 'test.jpg') assert st.exists(st.generate_thumbnail_name(filename)) thumb = Image.open(os.path.join('tests', 'test', st.generate_thumbnail_name(filename))) assert thumb.size[0] == THUMB_WIDTH assert thumb.size[1] == THUMB_HEIGHT st.delete(filename) @pytest.mark.parametrize("app_manager", [('local', 'image', {}), ('s3', 'image', {})], indirect=True) class TestImageManager: @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_save_from_file(self, app_manager, image, utils): st = mm.by_name() f = utils.file(Image.open(image)) filename = st.save(f, 'test.jpg') assert st.exists(filename) st.delete(filename) @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_save_from_filestorage(self, app_manager, image, utils): st = mm.by_name() with open(image, 'rb') as fp: f = utils.filestorage('flask.jpg', fp) filename = st.save(f) assert st.exists(filename) st.delete(filename) @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_save_from_filestorage_with_filename(self, app_manager, image, utils): st = mm.by_name() with open(image, 'rb') as fp: f = utils.filestorage(None, fp) filename = st.save(f, 'cica_flask.jpg') assert st.exists(filename) st.delete(filename) @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_save_from_filestorage_original_name(self, app_manager, image, utils): st = mm.by_name() with open(image, 'rb') as fp: f = utils.filestorage('flask.jpg', fp) filename = st.save(f, generate_name=False) assert filename == 'flask.jpg' assert st.exists(filename) st.delete(filename) @pytest.mark.parametrize("image", [("tests/flask.jpg"), ("tests/flask.png")]) def test_save_from_filestorage_with_filename_original_name(self, app_manager, image, utils): st = mm.by_name() with open(image, 'rb') as fp: f = utils.filestorage('flask.jpg', fp) filename = st.save(f, 'cicakutya.jpg', generate_name=False) assert filename == 'cicakutya.jpg' assert st.exists(filename) st.delete(filename)

36.992593

131

0.640368

626

4,994

4.976038

0.153355

0.060995

0.101124

0.091814

0.752488

0.717175

0.704013

0.669021

0.661316

0

0.005288

0.204846

4,994

134

132

37.268657

0.779149

0.06668

0

0.585106

0

0.12594

0

0.148936

1

0.095745

false

0

0.085106

0

0.223404

0

null

0

1

0

1

0

null

0

4

6e24b1edc0db012f68587ab507e57932cf0b9995

106

py

Python

textattack/datasets/helpers/__init__.py

xinzhel/TextAttack

635a76429743d7bd050aa26cc306e01748e1e4c7

[ "MIT" ]

1,980

2020-04-17T23:43:55.000Z

2022-03-31T19:22:17.000Z

textattack/datasets/helpers/__init__.py

xinzhel/TextAttack

635a76429743d7bd050aa26cc306e01748e1e4c7

[ "MIT" ]

350

2020-04-23T22:34:04.000Z

2022-03-29T20:57:22.000Z

textattack/datasets/helpers/__init__.py

xinzhel/TextAttack

635a76429743d7bd050aa26cc306e01748e1e4c7

[ "MIT" ]

267

2020-04-30T16:55:36.000Z

2022-03-31T18:59:46.000Z

""" Dataset Helpers ============================= """ from .ted_multi import TedMultiTranslationDataset

13.25

49

0.556604

7

106

8.285714

1

0

0.103774

106

7

50

15.142857

0.610526

0.424528

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6e29e84dbb24204a5955fba396b80023d337a359

49

py

Python

Test/test1.py

AndrewZStore/private_proxy_pool

e603a3c432f55547b24b24f281b9a72f9f4d6cae

[ "MIT" ]

null

Test/test1.py

AndrewZStore/private_proxy_pool

e603a3c432f55547b24b24f281b9a72f9f4d6cae

[ "MIT" ]

null

Test/test1.py

AndrewZStore/private_proxy_pool

e603a3c432f55547b24b24f281b9a72f9f4d6cae

[ "MIT" ]

null

list1 = ['hellow' for i in range(4)] print(list1)

24.5

36

0.673469

9

49

3.666667

0.888889

0

0.071429

0.142857

49

2

37

24.5

0.714286

0

0.12

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

28322e68af225c389a6d369df05723ae08027bec

213

py

Python

01_Workshop-master/Chapter03/my_module.py

Anna-MarieTomm/Learn_Python_with_Anna-Marie

e1d7b0f95674a91b1f30acd8923e0fc54f823182

[ "MIT" ]

null

01_Workshop-master/Chapter03/my_module.py

Anna-MarieTomm/Learn_Python_with_Anna-Marie

e1d7b0f95674a91b1f30acd8923e0fc54f823182

[ "MIT" ]

null

01_Workshop-master/Chapter03/my_module.py

Anna-MarieTomm/Learn_Python_with_Anna-Marie

e1d7b0f95674a91b1f30acd8923e0fc54f823182

[ "MIT" ]

null

#module: now being extended """ Docstring: This script comutes the sum of the factorial of a list of numbers """ import math def compute (numbers): return([math.factorial(n) for n in numbers])

17.75

77

0.676056

31

213

4.645161

0.741935

0

0.234742

213

12

78

17.75

0.883436

0.488263

0

1

0.333333

false

0

0.333333

0.666667

0

null

0

null

0

1

0

1

0

4

284477dfcb18fcfa26f5ca86714847e85c91aaac

408

py

Python

raster_tester/__init__.py

mapbox/raster-tester

273d2b7194d52d0cc771d3453800909e4b699850

[ "MIT" ]

null

raster_tester/__init__.py

mapbox/raster-tester

273d2b7194d52d0cc771d3453800909e4b699850

[ "MIT" ]

3

2018-06-05T16:47:05.000Z

2018-06-07T22:38:19.000Z

raster_tester/__init__.py

mapbox/raster-tester

273d2b7194d52d0cc771d3453800909e4b699850

[ "MIT" ]

1

2021-02-23T10:54:43.000Z

from .compare import compare, array_compare, compare_properties from .empty import is_empty from .aligned import tiled, aligned from .crosses_dateline import crosses_dateline, winding_order, densify, make_bounds_array, transform_bounds __all__ = [is_empty, compare, array_compare, compare_properties, tiled, aligned, crosses_dateline, winding_order, densify, make_bounds_array, transform_bounds]

51

107

0.823529

52

408

6.057692

0.346154

0.142857

0.120635

0.165079

0.634921

0.406349

0

0.117647

408

7

108

58.285714

0.875

0

1

0

false

0

0.666667

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

4

286ef29f9fbdbdaebed2f91a968a4190cfba368a

59

py

Python

CodeUp/6020.py

chae-heechan/Algorithm_Study

183a77e2cfe352cd82fb5e988b493082529a73dd

[ "MIT" ]

null

CodeUp/6020.py

chae-heechan/Algorithm_Study

183a77e2cfe352cd82fb5e988b493082529a73dd

[ "MIT" ]

null

CodeUp/6020.py

chae-heechan/Algorithm_Study

183a77e2cfe352cd82fb5e988b493082529a73dd

[ "MIT" ]

null

# 주민번호 입력받아 형태 바꿔 출력하기 a, b = input().split("-") print(a+b)

19.666667

25

0.59322

12

59

2.916667

0.833333

0.114286

0

0.169492

59

3

26

19.666667

0.714286

0.338983

0

0.026316

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

2875cc245d2c39345f660d30d0416853610152b3

67

py

Python

src/Python/pandasDynamo/run.py

SHKnudsen/Pandamo

ee99abf406d0609e766702aae98309a0936dae6e

[ "MIT" ]

19

2019-11-10T21:17:44.000Z

2021-01-29T00:02:57.000Z

src/Python/pandasDynamo/run.py

SHKnudsen/Pandamo

ee99abf406d0609e766702aae98309a0936dae6e

[ "MIT" ]

1

2019-11-14T08:21:46.000Z

2020-02-18T12:59:42.000Z

release packages/DynamoPandas/extra/pandasDynamo/run.py

SHKnudsen/Pandamo

ee99abf406d0609e766702aae98309a0936dae6e

[ "MIT" ]

3

2019-12-24T20:36:04.000Z

2020-03-16T16:27:17.000Z

from pandamo import app if( __name__ == "__main__"): app.run()

16.75

28

0.656716

9

67

4

0.888889

0

0.19403

67

4

29

16.75

0.666667

0

0.117647

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

954e8ded72cbe65c88e7503c98c2596b838d1ffe

171

py

Python

src/print_func.py

DjamelALI/covid-19-database

41024fd0858c63616e5b4571bf56904a3467a93f

[ "MIT" ]

null

src/print_func.py

DjamelALI/covid-19-database

41024fd0858c63616e5b4571bf56904a3467a93f

[ "MIT" ]

null

src/print_func.py

DjamelALI/covid-19-database

41024fd0858c63616e5b4571bf56904a3467a93f

[ "MIT" ]

null

def print_head(msg: str): start = "| " end = " |" line = "-" * (len(msg) + len(start) + len(end)) print(line) print(start + msg + end) print(line)

21.375

51

0.497076

22

171

3.818182

0.409091

0.190476

0.285714

0

0.298246

171

7

52

24.428571

0.7

0

0.285714

0

0.02924

0

1

0.142857

false

0

0.142857

0.571429

1

0

null

0

1

0

1

0

null

0

1

0

4

9552f80b22b06089d3eafd6e73cbb6eb4fb58bbc

96

py

Python

carbon0/carbon_quiz/apps.py

Carbon0-Games/carbon0-web-app

068a7223b2717d602944ec561adcde39930cba85

[ "MIT" ]

2

2020-10-30T15:07:28.000Z

2020-12-22T04:29:50.000Z

carbon0/carbon_quiz/apps.py

Carbon0-Games/carbon0-web-app

068a7223b2717d602944ec561adcde39930cba85

[ "MIT" ]

45

2020-09-22T12:47:55.000Z

2022-03-12T00:48:18.000Z

carbon0/carbon_quiz/apps.py

Carbon0-Games/carbon0-web-app

068a7223b2717d602944ec561adcde39930cba85

[ "MIT" ]

1

2020-09-08T15:48:13.000Z

from django.apps import AppConfig class CarbonQuizConfig(AppConfig): name = "carbon_quiz"

16

34

0.770833

11

96

6.636364

0.909091

0

0.15625

96

5

35

19.2

0.901235

0

0.114583

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

955ea118a5a6b732c99db4af29002d34ec9e3e16

205

py

Python

projects/project02/Notebooks/global_defs.py

xbresson/CE7454_2018

32647cae8122ddb50775329f76f7a0c4a26f3276

[ "MIT" ]

84

2018-08-14T10:10:09.000Z

2021-11-25T10:07:13.000Z

projects/project02/Notebooks/global_defs.py

erichhhhho/CE7454_2018

32647cae8122ddb50775329f76f7a0c4a26f3276

[ "MIT" ]

1

2018-08-17T03:35:25.000Z

projects/project02/Notebooks/global_defs.py

erichhhhho/CE7454_2018

32647cae8122ddb50775329f76f7a0c4a26f3276

[ "MIT" ]

44

2018-08-15T04:27:26.000Z

2021-11-25T10:07:22.000Z

import torch if torch.cuda.is_available(): device= torch.device("cuda") map_loc = 'cuda' else: device= torch.device("cpu") map_loc = 'cpu' device = torch.device("cpu") map_loc = 'cpu'

13.666667

32

0.634146

29

205

4.344828

0.37931

0.261905

0.404762

0.31746

0.460317

0

0.204878

205

15

33

13.666667

0.773006

0

0.444444

0

0.097087

0

1

0

false

0

0.111111

0

0.111111

0

1

0

null

1

0

null

0

4

956517ededc725def855814269a245af2283b918

88

py

Python

main.py

popescuaaa/nmf

c65263198158e1ba6e1b9270b7d7a87a8803fb72

[ "MIT" ]

null

main.py

popescuaaa/nmf

c65263198158e1ba6e1b9270b7d7a87a8803fb72

[ "MIT" ]

null

main.py

popescuaaa/nmf

c65263198158e1ba6e1b9270b7d7a87a8803fb72

[ "MIT" ]

null

from src import NMF if __name__ == '__main__': print("Hello World!") print(NMF)

17.6

26

0.647727

12

88

4.083333

0.833333

0

0.215909

88

5

27

17.6

0.710145

0

0.224719

0

1

0

true

0

0.25

0

0.25

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

957ea4b23617286a50ea0937e642d81b7f145497

147

py

Python

contohRekursif.py

muhiqsimui/PyTraining

41c99adf0d5bd330b3c35242c9f447e8992d9074

[ "MIT" ]

6

2021-07-15T01:33:31.000Z

2021-11-17T11:05:50.000Z

contohRekursif.py

cxml2/PyTraining

41c99adf0d5bd330b3c35242c9f447e8992d9074

[ "MIT" ]

null

contohRekursif.py

cxml2/PyTraining

41c99adf0d5bd330b3c35242c9f447e8992d9074

[ "MIT" ]

1

2021-08-23T11:22:53.000Z

#rekursif adalah fungsi yg memanggil dirinya sendiri ok sip def cetak(x): print(x) if x>1: cetak(x-1) elif x<1: cetak(x+1) cetak(5)

14.7

59

0.646259

28

147

3.392857

0.607143

0.084211

0.221053

0.168421

0.189474

0

0.044248

0.231293

147

9

60

16.333333

0.79646

0.394558

0

1

0.142857

false

0

0.142857

1

0

null

0

1

0

1

0

null

0

4

958acddf13fe4d79dfbd1ceeba67585864302b16

1,140

py

Python

lib/systems/d-xylulose.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/d-xylulose.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/d-xylulose.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

import pulsar as psr def load_ref_system(): """ Returns d-xylulose as found in the IQMol fragment library. All credit to https://github.com/nutjunkie/IQmol """ return psr.make_system(""" C 2.5413 -0.0840 0.1586 C 1.0785 0.2582 -0.2141 C 0.1112 -0.8211 0.3626 C -1.2253 -0.1569 0.7445 C -2.2588 0.0443 -0.3568 O 3.4244 0.9777 -0.0639 O 0.9169 0.4391 -1.6002 O -0.0484 -1.9341 -0.4765 O -1.4298 0.1858 1.8916 O -3.2317 1.0078 -0.0810 H 2.8853 -0.9935 -0.3744 H 2.6417 -0.2675 1.2428 H 0.8021 1.2642 0.1802 H 0.5702 -1.2943 1.2640 H -2.7365 -0.9295 -0.5869 H -1.7845 0.4260 -1.2801 H 3.3328 1.2462 -0.9702 H 1.2920 -0.3159 -2.0399 H -0.5096 -1.6545 -1.2597 H -3.5841 0.8358 0.7843 """)

40.714286

66

0.405263

170

1,140

2.7

0.547059

0.013072

0

0.518135

0.492105

1,140

27

67

42.222222

0.274611

0.09386

0

0.917078

0

1

0.041667

true

0

0.041667

0

0.125

0

null

0

1

0

1

0

1

0

null

0

1

0

4

95acca8f714978975bf225f38e6fad15792df99d

106

py

Python

hierarchy_system/apps.py

GregSpurgeon/fileStructuring

13b69e6f2bbe8b220a1cbdbc4dfdd697e940368b

[ "MIT" ]

null

hierarchy_system/apps.py

GregSpurgeon/fileStructuring

13b69e6f2bbe8b220a1cbdbc4dfdd697e940368b

[ "MIT" ]

null

hierarchy_system/apps.py

GregSpurgeon/fileStructuring

13b69e6f2bbe8b220a1cbdbc4dfdd697e940368b

[ "MIT" ]

null

from django.apps import AppConfig class HierarchySystemConfig(AppConfig): name = 'hierarchy_system'

17.666667

39

0.792453

11

106

7.545455

0.909091

0

0.141509

106

5

40

21.2

0.912088

0

0.150943

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

95b86466ca72b2aecfda2932550215f41e6ac27f

995

py

Python

tests/test_math.py

exterkamps/Python-Data-Structures

8594ed934edeaded4866999932384d12fb4519c3

[ "Apache-2.0" ]

3

2018-10-15T17:38:29.000Z

2021-03-24T02:55:46.000Z

tests/test_math.py

exterkamp/Python-Data-Structures

8594ed934edeaded4866999932384d12fb4519c3

[ "Apache-2.0" ]

null

tests/test_math.py

exterkamp/Python-Data-Structures

8594ed934edeaded4866999932384d12fb4519c3

[ "Apache-2.0" ]

null

import unittest from algorithms.math.factorial import factorial from algorithms.math.fibonacci import fibonacci_dp, fibonacci_recursive class test_math(unittest.TestCase): def test_factorial(self): self.assertEqual(factorial(0), 0) self.assertEqual(factorial(1), 1) self.assertEqual(factorial(3), 6) self.assertEqual(factorial(5), 120) self.assertEqual(factorial(10), 3628800) def test_fibonacci_dp(self): self.assertEqual(fibonacci_dp(-1), 0) self.assertEqual(fibonacci_dp(0), 0) self.assertEqual(fibonacci_dp(1), 1) self.assertEqual(fibonacci_dp(5), 5) self.assertEqual(fibonacci_dp(12), 144) def test_fibonacci_recursive(self): self.assertEqual(fibonacci_recursive(-1), 0) self.assertEqual(fibonacci_recursive(0), 0) self.assertEqual(fibonacci_recursive(1), 1) self.assertEqual(fibonacci_recursive(5), 5) self.assertEqual(fibonacci_recursive(12), 144)

36.851852

71

0.699497

121

995

5.603306

0.206612

0.331858

0.353982

0.19174

0.426254

0

0.055831

0.18995

995

26

72

38.269231

0.78536

0

0.681818

1

0.136364

false

0

0.136364

0

0.318182

0

null

1

0

null

0

1

0

4

95c2736261fe987788c17106ce9a676e8fb0e026

152

py

Python

examples/VECs/microbench/test_load.py

UTexas-PSAAP/Parla.py

3d92a156be41983e32576940ef6baffd78d4eb84

[ "BSD-3-Clause" ]

11

2020-06-22T16:20:15.000Z

2022-03-20T22:54:40.000Z

examples/VECs/microbench/test_load.py

UTexas-PSAAP/Parla.py

3d92a156be41983e32576940ef6baffd78d4eb84

[ "BSD-3-Clause" ]

86

2019-10-24T07:43:05.000Z

2022-03-28T05:20:17.000Z

examples/VECs/microbench/test_load.py

UTexas-PSAAP/Parla.py

3d92a156be41983e32576940ef6baffd78d4eb84

[ "BSD-3-Clause" ]

7

2019-10-24T05:46:27.000Z

2022-02-09T19:47:58.000Z

import time t = time.perf_counter() from parla.multiload import multiload_contexts begin_multiload = time.perf_counter() - t print(begin_multiload)

15.2

46

0.796053

21

152

5.52381

0.52381

0.137931

0.258621

0

0.125

152

9

47

16.888889

0.87218

0

1

0

false

0

0.4

0

0.4

0.2

1

0

null

0

1

0

1

0

null

0

1

0

4

95cc390f0b37516f1ac485886c0f430f1b862809

103

py

Python

src/local_run.py

marshcode/marshcode

87de5ce14285301f1c1729a209f7ef88f280678a

[ "MIT" ]

null

src/local_run.py

marshcode/marshcode

87de5ce14285301f1c1729a209f7ef88f280678a

[ "MIT" ]

null

src/local_run.py

marshcode/marshcode

87de5ce14285301f1c1729a209f7ef88f280678a

[ "MIT" ]

null

__author__ = 'david' from davesite.app.factory import create_app app = create_app() app.run("", 8080)

17.166667

43

0.737864

15

103

4.666667

0.666667

0.257143

0.342857

0

0.044444

0.126214

103

6

44

17.166667

0.733333

0

0.048077

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

4

95cc52708b91fe912de9cc00361e2784549c91fb

68

py

Python

src/__init__.py

LaudateCorpus1/hermes-5

d9b50452379fe636da96c2bad2d286afa15cd7b9

[ "Apache-2.0" ]

135

2015-11-17T09:04:37.000Z

2022-01-14T07:00:34.000Z

src/__init__.py

cacan/hermes

d9b50452379fe636da96c2bad2d286afa15cd7b9

[ "Apache-2.0" ]

16

2015-11-19T18:04:13.000Z

2016-11-19T00:30:12.000Z

src/__init__.py

cacan/hermes

d9b50452379fe636da96c2bad2d286afa15cd7b9

[ "Apache-2.0" ]

68

2015-11-13T22:51:57.000Z

2022-01-26T01:51:09.000Z

__version__ = '1.0' import algorithms import data_prep import utils

13.6

19

0.808824

10

68

5

0.8

0

0.033898

0.132353

68

4

20

17

0.813559

0

0.044118

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

254012f39184189d4ce825f535a9d2c592877451

364

py

Python

bindings/pydeck/pydeck/types/string.py

acebelowzero/deck.gl

7acf1fefc337486f129670b3a19c0ce9c13003d5

[ "MIT" ]

2

2021-08-11T08:05:51.000Z

2021-08-11T08:05:54.000Z

bindings/pydeck/pydeck/types/string.py

acebelowzero/deck.gl

7acf1fefc337486f129670b3a19c0ce9c13003d5

[ "MIT" ]

null

bindings/pydeck/pydeck/types/string.py

acebelowzero/deck.gl

7acf1fefc337486f129670b3a19c0ce9c13003d5

[ "MIT" ]

null

from functools import total_ordering @total_ordering class String: def __init__(self, s: str, quote_type: str = '"'): self.value = f"{quote_type}{s}{quote_type}" def __lt__(self, other): return str(self) < str(other) def __eq__(self, other): return str(self) == str(other) def __repr__(self): return self.value

21.411765

54

0.629121

49

364

4.244898

0.428571

0.129808

0.144231

0.173077

0.317308

0

0.244505

364

16

55

22.75

0.756364

0

0.076923

0.074176

0

1

0.363636

false

0

0.090909

0.272727

0.818182

0

null

0

1

0

null

0

1

0

1

0

4

2545f26ea313edcb67b629591d95e9b619f2a540

132

py

Python

whileloops/whileloops.py

IMBLACK-CMD/Pythonister

801a8fef7ef67fa84df2496a7d93738ced25e9d8

[ "MIT" ]

null

whileloops/whileloops.py

IMBLACK-CMD/Pythonister

801a8fef7ef67fa84df2496a7d93738ced25e9d8

[ "MIT" ]

null

whileloops/whileloops.py

IMBLACK-CMD/Pythonister

801a8fef7ef67fa84df2496a7d93738ced25e9d8

[ "MIT" ]

null

counter = 0 while counter <= 5: print("counter", counter) counter = counter + 1 else: print("counter has become false ")

22

38

0.643939

17

132

5

0.588235

0.494118

0

0.029703

0.234848

132

6

38

22

0.811881

0

0.240602

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

4

25605727da938717725472e5f3fb5f908ccad9ef

336

py

Python

configs/detect/mmdetection/faster_rcnn_x101_64x4d_fpn_1x_coco.py

linkinpark213/online-mot-by-detection

3bde45cc68815f84fa73bec816a557349e5a33fd

[ "MIT" ]

null

configs/detect/mmdetection/faster_rcnn_x101_64x4d_fpn_1x_coco.py

linkinpark213/online-mot-by-detection

3bde45cc68815f84fa73bec816a557349e5a33fd

[ "MIT" ]

null

configs/detect/mmdetection/faster_rcnn_x101_64x4d_fpn_1x_coco.py

linkinpark213/online-mot-by-detection

3bde45cc68815f84fa73bec816a557349e5a33fd

[ "MIT" ]

null

type = 'MMDetector' config = '/home/linkinpark213/Source/mmdetection/configs/faster_rcnn/faster_rcnn_x101_64x4d_fpn_1x_coco.py' checkpoint = 'https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_x101_64x4d_fpn_1x_coco/faster_rcnn_x101_64x4d_fpn_1x_coco_20200204-833ee192.pth' conf_threshold = 0.5

67.2

186

0.854167

54

336

4.907407

0.62963

0.188679

0.158491

0.215094

0.392453

0.286792

0

0.135802

0.035714

336

4

187

84

0.682099

0

0.25

0.824405

0.285714

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

4

c261ba50b45a089103a148a3fd4fcd4932f27b0d

128

py

Python

itcast/Python/BasicItcast/day5/com.dhcc/jiujiu.py

diqiuonline/Demo

cba12f44b57b47a4ea7f23ed3e28b21de5ef0d86

[ "MIT" ]

null

itcast/Python/BasicItcast/day5/com.dhcc/jiujiu.py

diqiuonline/Demo

cba12f44b57b47a4ea7f23ed3e28b21de5ef0d86

[ "MIT" ]

22

2020-04-14T15:52:45.000Z

2022-02-28T14:52:14.000Z

itcast/Python/BasicItcast/day5/com.dhcc/jiujiu.py

diqiuonline/Demo

cba12f44b57b47a4ea7f23ed3e28b21de5ef0d86

[ "MIT" ]

1

2020-08-31T06:51:57.000Z

j = 1 while j <= 9: i = 1 while i <= j: print(f'{i}*{j}={i*j}' , end='\t') i += 1 j += 1 print()

16

42

0.320313

23

128

1.782609

0.391304

0.146341

0

0.068493

0.429688

128

8

43

16

0.493151

0

0.116279

0

1

0

false

0

0.25

1

0

1

null

0

1

0

1

0

null

0

4

c2791df0a839bdadc5aa868b8f7fc8fd45afa365

264

py

Python

main.py

joway/statsd-server

ffa5bb696ad28b6c3fc1c619d4ca1dc413a7b986

[ "MIT" ]

null

main.py

joway/statsd-server

ffa5bb696ad28b6c3fc1c619d4ca1dc413a7b986

[ "MIT" ]

null

main.py

joway/statsd-server

ffa5bb696ad28b6c3fc1c619d4ca1dc413a7b986

[ "MIT" ]

null

from time import sleep from monitor import monitoring_mem, monitoring_swap, monitoring_cpu, monitoring_net from settings import INTERVAL while True: monitoring_mem() monitoring_swap() monitoring_cpu() monitoring_net() sleep(INTERVAL // 1000)

22

83

0.765152

32

264

6.0625

0.46875

0.134021

0.237113

0.278351

0.546392

0

0.018349

0.174242

264

11

84

24

0.87156

0

1

0

true

0

0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

1

0

4

c292e8980cf31c69ffbc9b8c354a94b0a019cf0c

347

py

Python

2.py

chuzhinoves/DevOps_python_HW2

1f1d83bd69b62fa45f36758290335d5322983c37

[ "MIT" ]

null

2.py

chuzhinoves/DevOps_python_HW2

1f1d83bd69b62fa45f36758290335d5322983c37

[ "MIT" ]

null

2.py

chuzhinoves/DevOps_python_HW2

1f1d83bd69b62fa45f36758290335d5322983c37

[ "MIT" ]

null

#уверен, что есть способ короче, но в голову не пришел input_array_str = input("введите список разделенный пробелами: ").split(" ") if len(input_array_str) > 0: for i in range(1, len(input_array_str), 2): a = input_array_str[i] input_array_str[i] = input_array_str[i-1] input_array_str[i-1] = a print(input_array_str)

38.555556

76

0.691643

59

347

3.79661

0.491525

0.357143

0.464286

0.25

0.258929

0.1875

0

0.017857

0.193084

347

8

77

43.375

0.782143

0.152738

0

0.133106

0

1

0

false

0

0.142857

0

null

1

0

1

0

null

0

4

c2a13d7fe3eb637673dc5e1e9cc3d684eaffed54

353

py

Python

clip_retrieval/cli.py

afiaka87/clip-retrieval

97a17e0952524d4565620249228a11f91390462c

[ "MIT" ]

null

clip_retrieval/cli.py

afiaka87/clip-retrieval

97a17e0952524d4565620249228a11f91390462c

[ "MIT" ]

null

clip_retrieval/cli.py

afiaka87/clip-retrieval

97a17e0952524d4565620249228a11f91390462c

[ "MIT" ]

null

from clip_retrieval.clip_back import clip_back from clip_retrieval.clip_batch import clip_batch from clip_retrieval.clip_filter import clip_filter import fire import logging def main(): """Main entry point""" fire.Fire( { "back": clip_back, "batch": clip_batch, "filter": clip_filter } )

22.0625

50

0.648725

44

353

4.931818

0.295455

0.110599

0.235023

0.290323

0

0.271955

353

16

51

22.0625

0.844358

0.045326

0

0.045181

0

1

0.076923

true

0

0.384615

0

0.461538

0

null

0

1

0

null

0

1

0

1

0

4

c2f12b4b1585cd84dfcf0327bd0c64f9ad855d2c

254

py

Python

codetools/util/tests/sequence_test_case.py

braidedlogix/Codetools_wxPhoenix_py3

555e7e3e4895ef9d79716e0323db4445436d10dc

[ "BSD-3-Clause" ]

1

2017-05-12T04:17:50.000Z

codetools/util/tests/sequence_test_case.py

braidedlogix/Codetools_wxPhoenix_py3

555e7e3e4895ef9d79716e0323db4445436d10dc

[ "BSD-3-Clause" ]

null

codetools/util/tests/sequence_test_case.py

braidedlogix/Codetools_wxPhoenix_py3

555e7e3e4895ef9d79716e0323db4445436d10dc

[ "BSD-3-Clause" ]

null

import unittest from traits.testing.api import doctest_for_module import codetools.util.sequence as sequence class SequenceDocTestCase(doctest_for_module(sequence)): pass if __name__ == '__main__': import sys unittest.main(argv=sys.argv)

19.538462

56

0.783465

33

254

5.666667

0.636364

0.106952

0.171123

0

0.141732

254

12

57

21.166667

0.857798

0

0.031496

0

1

0

true

0.125

0.5

0

0.625

0

null

0

null

0

1

0

1

0

4

6c3fc5e5ae7eafb4ee1c1dfef1b12fd41a38900f

46

py

Python

application/workprogramsapp/expertise/expertise_logic.py

rendex85/analytics_backend-1

02ac45bde8754491795c99fbddcfc249d64a2fd3

[ "MIT" ]

null

application/workprogramsapp/expertise/expertise_logic.py

rendex85/analytics_backend-1

02ac45bde8754491795c99fbddcfc249d64a2fd3

[ "MIT" ]

null

application/workprogramsapp/expertise/expertise_logic.py

rendex85/analytics_backend-1

02ac45bde8754491795c99fbddcfc249d64a2fd3

[ "MIT" ]

null

def add_expert_to_wp(wp_id, expertise): re

23

39

0.76087

9

46

3.444444

0.888889

0

0.152174

46

2

40

23

0.794872

0

1

0.5

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

6c5118383b2f5301b854f8a22fa188b7a7052994

130

py

Python

demo/User.py

tongnainfo/learn_python

47514eb03c60b65b3fccdd6a1eb1cba5a45f28f5

[ "MIT" ]

null

demo/User.py

tongnainfo/learn_python

47514eb03c60b65b3fccdd6a1eb1cba5a45f28f5

[ "MIT" ]

null

demo/User.py

tongnainfo/learn_python

47514eb03c60b65b3fccdd6a1eb1cba5a45f28f5

[ "MIT" ]

null

class User: def __init__(self,name): self.name=name def show(self): print(self.name) user =User("ada66") user.show()

14.444444

26

0.653846

20

130

4.05

0.45

0.296296

0

0.018868

0.184615

130

9

27

14.444444

0.745283

0

0.038168

0

1

0.285714

false

0

0.428571

0.142857

1

0

null

1

0

1

0

null

0

1

0

4

665af2716bfb387419b1614d37ad347eb499ce7b

72

py

Python

centralauth/provider/__init__.py

lenarother/django-centralauth

dadd78191d879c96fc2730cb5625ab833c1ea0da

[ "MIT" ]

6

2018-11-22T15:06:57.000Z

2021-03-16T18:44:41.000Z

centralauth/provider/__init__.py

lenarother/django-centralauth

dadd78191d879c96fc2730cb5625ab833c1ea0da

[ "MIT" ]

10

2021-05-04T18:55:50.000Z

2021-06-01T22:58:43.000Z

centralauth/provider/__init__.py

lenarother/django-centralauth

dadd78191d879c96fc2730cb5625ab833c1ea0da

[ "MIT" ]

1

2019-04-30T08:07:38.000Z

default_app_config = 'centralauth.provider.apps.ProviderConfig' # noqa

36

71

0.819444

8

72

7.125

1

0

0.083333

72

1

72

0.863636

0.055556

0

0.606061

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

669fca25d36a642429a7a5090bcd4265194f41ad

267

py

Python

7term/TT/compiler/lab3/SemanticException.py

nik-sergeson/bsuir-informatics-labs

14805fb83b8e2324580b6253158565068595e804

[ "Apache-2.0" ]

null

7term/TT/compiler/lab3/SemanticException.py

nik-sergeson/bsuir-informatics-labs

14805fb83b8e2324580b6253158565068595e804

[ "Apache-2.0" ]

null

7term/TT/compiler/lab3/SemanticException.py

nik-sergeson/bsuir-informatics-labs

14805fb83b8e2324580b6253158565068595e804

[ "Apache-2.0" ]

null

class SemanticException(Exception): def __init__(self, message, token=None): if token is None: super(SemanticException, self).__init__(message) else: super(SemanticException, self).__init__(message + ': ' + token.__str__())

44.5

85

0.64794

26

267

6.038462

0.538462

0.152866

0.33121

0.382166

0.471338

0

0.235955

267

6

85

44.5

0.769608

0

0.007463

0

1

0.166667

false

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

4

66a1eecfeadd419b04801069cefedd08bd83b208

114

py

Python

mediatracker/movies/urls.py

theKeithSequeira/MediaTracker

529ac75032f9856d2dff0ed34bd1c71d37aae4cb

[ "MIT" ]

null

mediatracker/movies/urls.py

theKeithSequeira/MediaTracker

529ac75032f9856d2dff0ed34bd1c71d37aae4cb

[ "MIT" ]

null

mediatracker/movies/urls.py

theKeithSequeira/MediaTracker

529ac75032f9856d2dff0ed34bd1c71d37aae4cb

[ "MIT" ]

null

from django.urls import path from . import views urlpatterns=[ path('',views.movie_list,name='movie_list') ]

19

47

0.72807

16

114

5.0625

0.625

0.222222

0

0.140351

114

6

48

19

0.826531

0

0.086957

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

66ac96d2dd67a7b538e7491bed60b997b0156975

164

py

Python

src/hootingyard/utils/get_from_internet_archive.py

HootingYard/archive_management

448f15f74c035ef846e1a6f762e448d922744b9b

[ "CC0-1.0" ]

null

src/hootingyard/utils/get_from_internet_archive.py

HootingYard/archive_management

448f15f74c035ef846e1a6f762e448d922744b9b

[ "CC0-1.0" ]

null

src/hootingyard/utils/get_from_internet_archive.py

HootingYard/archive_management

448f15f74c035ef846e1a6f762e448d922744b9b

[ "CC0-1.0" ]

null

import pprint from internetarchive import get_item, delete item = get_item("hooting_yard_2007-01-10") pprint.pprint(item.item_metadata) # delete(item.identifier)

20.5

44

0.810976

24

164

5.333333

0.583333

0.109375

0

0.053691

0.091463

164

7

45

23.428571

0.805369

0.140244

0

0.165468

0

1

0

false

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

66b3691e76faf1374f62afa3d0c5a5eb647a8de3

95

py

Python

visualizer/apps.py

dipapaspyros/bdo_platform

336de07c6ed14290c54f2154117dbf90a187e4ea

[ "MIT" ]

4

2019-09-21T16:02:39.000Z

2020-09-08T00:56:40.000Z

visualizer/apps.py

dipapaspyros/bdo_platform

336de07c6ed14290c54f2154117dbf90a187e4ea

[ "MIT" ]

11

2020-11-09T19:55:58.000Z

2022-02-13T19:43:03.000Z

visualizer/apps.py

dipapaspyros/bdo_platform

336de07c6ed14290c54f2154117dbf90a187e4ea

[ "MIT" ]

5

2019-09-21T15:46:47.000Z

2021-05-26T19:30:29.000Z

from django.apps import AppConfig class VisualizerConfig(AppConfig): name = 'visualizer'

15.833333

34

0.768421

10

95

7.3

0.9

0

0.157895

95

5

35

19

0.9125

0

0.105263

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

66b57e8cb7432b7a43e3b8d46677973d3375aafa

960

py

Python

ebl/transliteration/application/sign_repository.py

ElectronicBabylonianLiterature/dictionary

5977a57314cf57f94f75cd12520f178b1d6a6555

[ "MIT" ]

4

2020-04-12T14:24:51.000Z

2020-10-15T15:48:15.000Z

ebl/transliteration/application/sign_repository.py

ElectronicBabylonianLiterature/dictionary

5977a57314cf57f94f75cd12520f178b1d6a6555

[ "MIT" ]

200

2019-12-04T09:53:20.000Z

2022-03-30T20:11:31.000Z

ebl/transliteration/application/sign_repository.py

ElectronicBabylonianLiterature/dictionary

5977a57314cf57f94f75cd12520f178b1d6a6555

[ "MIT" ]

1

2021-09-06T16:22:39.000Z

from abc import ABC, abstractmethod from typing import Optional, Sequence from ebl.transliteration.domain.sign import Sign, SignName class SignRepository(ABC): @abstractmethod def create(self, sign: Sign) -> str: ... @abstractmethod def find(self, name: SignName) -> Sign: ... @abstractmethod def search_by_id(self, query: str) -> Sequence[Sign]: ... @abstractmethod def search_all(self, reading: str, sub_index: int) -> Sequence[Sign]: ... @abstractmethod def search_by_lists_name(self, name: str, number: str) -> Sequence[Sign]: ... @abstractmethod def search_composite_signs(self, reading: str, sub_index: int) -> Sequence[Sign]: ... @abstractmethod def search_include_homophones(self, reading: str) -> Sequence[Sign]: ... @abstractmethod def search(self, reading: str, sub_index: Optional[int]) -> Optional[Sign]: ...

24.615385

85

0.639583

105

960

5.72381

0.333333

0.22629

0.209651

0.269551

0.477537

0.389351

0.199667

0

0.236458

960

38

86

25.263158

0.819918

0

0.571429

0

1

0.285714

false

0

0.107143

0

0.428571

0

null

1

0

null

0

1

0

4

66bc06326757e5fe39f1957af8b8037108ceb23c

587

py

Python

code/ch08/8.1.3_155.min-stack.py

leetcode-pp/leetcode-pp1

a1f9e46fdd2f480d2fcb94e76370e040e0f0a4f5

[ "MIT" ]

22

2021-02-23T13:42:28.000Z

2022-03-02T11:19:28.000Z

code/ch08/8.1.3_155.min-stack.py

leetcode-pp/leetcode-pp1

a1f9e46fdd2f480d2fcb94e76370e040e0f0a4f5

[ "MIT" ]

9

2021-06-16T10:42:01.000Z

2021-08-24T09:06:29.000Z

code/ch08/8.1.3_155.min-stack.py

leetcode-pp/leetcode-pp1

a1f9e46fdd2f480d2fcb94e76370e040e0f0a4f5

[ "MIT" ]

9

2021-02-20T08:29:00.000Z

2021-09-18T08:52:25.000Z

class MinStack: def __init__(self): """ initialize your data structure here. """ self.stack = [] self.helper = [] def push(self, x: int) -> None: self.stack.append(x) if not self.helper or x <= self.helper[-1]: self.helper.append(x) def pop(self) -> None: top = self.stack.pop() if self.helper and top == self.helper[-1]: self.helper.pop() return top def top(self) -> int: return self.stack[-1] def getMin(self) -> int: return self.helper[-1]

23.48

51

0.512777

74

587

4.013514

0.351351

0.26936

0.111111

0.10101

0.141414

0

0.010444

0.34753

587

24

52

24.458333

0.765013

0.061329

0

1

0.294118

false

0

0.117647

0.529412

0

null

1

0

null

0

1

0

1

0

4

66d2677a7560c4b4593eb92c85e7450ae99a4c38

4,480

py

Python

mmnas/utils/ops_adapter.py

ParadoxZW/mmnas

186ef8648e71b5fc4433faf80431a0f8bc9261a0

[ "Apache-2.0" ]

23

2020-09-23T03:26:37.000Z

2022-01-24T03:35:17.000Z

mmnas/utils/ops_adapter.py

ParadoxZW/mmnas

186ef8648e71b5fc4433faf80431a0f8bc9261a0

[ "Apache-2.0" ]

9

2021-02-24T02:59:03.000Z

2021-11-16T22:41:36.000Z

mmnas/utils/ops_adapter.py

ParadoxZW/mmnas

186ef8648e71b5fc4433faf80431a0f8bc9261a0

[ "Apache-2.0" ]

8

2020-09-18T06:38:47.000Z

2022-01-24T03:35:19.000Z

import torch.nn as nn from mmnas.model.modules import * class OpsAdapter: def __init__(self): self.Used_OPS = { 'enc_safe': [ # 'skip_connect', # identity 'self_att_64', 'feed_forward', ], 'dec_safe': [ # 'skip_connect', # identity 'self_att_64', 'rel_self_att_64', 'guided_att_64', 'feed_forward', ], } self.Used_OPS['enc'] = self.Used_OPS['enc_safe'] + ['none'] self.Used_OPS['dec'] = self.Used_OPS['dec_safe'] + ['none'] self.OPS = { 'none': lambda __C, norm, residual: Zero(), 'skip_connect': lambda __C, norm, residual: Identity(), 'relu': lambda __C, norm, residual: nn.ReLU(), 'gelu': lambda __C, norm, residual: GELU(), 'leakyrelu': lambda __C, norm, residual: nn.LeakyReLU(), 'self_att_256': lambda __C, norm, residual: SelfAtt(__C, norm, residual, base=256), 'self_att_128': lambda __C, norm, residual: SelfAtt(__C, norm, residual, base=128), 'self_att_64': lambda __C, norm, residual: SelfAtt(__C, norm, residual, base=64), 'self_att_32': lambda __C, norm, residual: SelfAtt(__C, norm, residual, base=32), 'self_att_16': lambda __C, norm, residual: SelfAtt(__C, norm, residual, base=16), 'self_att_64_2': lambda __C, norm, residual: SelfAtt(__C, norm, residual, base=64, hsize_k=2), 'rel_self_att_256': lambda __C, norm, residual: RelSelfAtt(__C, norm, residual, base=256), 'rel_self_att_128': lambda __C, norm, residual: RelSelfAtt(__C, norm, residual, base=128), 'rel_self_att_64': lambda __C, norm, residual: RelSelfAtt(__C, norm, residual, base=64), 'rel_self_att_32': lambda __C, norm, residual: RelSelfAtt(__C, norm, residual, base=32), 'rel_self_att_16': lambda __C, norm, residual: RelSelfAtt(__C, norm, residual, base=16), 'guided_att_256': lambda __C, norm, residual: GuidedAtt(__C, norm, residual, base=256), 'guided_att_128': lambda __C, norm, residual: GuidedAtt(__C, norm, residual, base=128), 'guided_att_64': lambda __C, norm, residual: GuidedAtt(__C, norm, residual, base=64), 'guided_att_32': lambda __C, norm, residual: GuidedAtt(__C, norm, residual, base=32), 'guided_att_16': lambda __C, norm, residual: GuidedAtt(__C, norm, residual, base=16), 'guided_att_64_2': lambda __C, norm, residual: GuidedAtt(__C, norm, residual, base=64, hsize_k=2), 'uniimg_att_128': lambda __C, norm, residual: UniimgAtt(__C, norm, residual, base=128), 'uniimg_att_64': lambda __C, norm, residual: UniimgAtt(__C, norm, residual, base=64), 'uniimg_att_32': lambda __C, norm, residual: UniimgAtt(__C, norm, residual, base=32), 'sep_conv_3': lambda __C, norm, residual: SepConv(__C, norm, residual, k=3), 'sep_conv_5': lambda __C, norm, residual: SepConv(__C, norm, residual, k=5), 'sep_conv_7': lambda __C, norm, residual: SepConv(__C, norm, residual, k=7), 'sep_conv_11': lambda __C, norm, residual: SepConv(__C, norm, residual, k=11), 'std_conv_3': lambda __C, norm, residual: StdConv(__C, norm, residual, k=3), 'std_conv_5': lambda __C, norm, residual: StdConv(__C, norm, residual, k=5), 'std_conv_7': lambda __C, norm, residual: StdConv(__C, norm, residual, k=7), 'std_conv_11': lambda __C, norm, residual: StdConv(__C, norm, residual, k=11), 'feed_forward_2': lambda __C, norm, residual: FeedForward(__C, norm, residual, mid_k=2), 'feed_forward': lambda __C, norm, residual: FeedForward(__C, norm, residual), 'feed_forward_8': lambda __C, norm, residual: FeedForward(__C, norm, residual, mid_k=8), 'feed_forward_16': lambda __C, norm, residual: FeedForward(__C, norm, residual, mid_k=16), 'feed_forward_32': lambda __C, norm, residual: FeedForward(__C, norm, residual, mid_k=32), 'gated_linear_1': lambda __C, norm, residual: GLU(__C, norm, residual, layers=1), 'gated_linear_2': lambda __C, norm, residual: GLU(__C, norm, residual, layers=2), 'feed_forward_deep': lambda __C, norm, residual: FeedForward_deep(__C, norm, residual), }

60.540541

110

0.61183

581

4,480

4.259897

0.115318

0.155556

0.404444

0.314747

0.797576

0.734949

0.701818

0.625455

0.602424

0.150303

0

0.042464

0.253571

4,480

74

111

60.540541

0.697667

0.01183

0

0.098361

0

0.13995

0

1

0.016393

false

0

0.032787

0

0.065574

0

null

0

1

0

1

0

null

0

4

dd0f1fecc74593a80db2f2bc31beb972611e8334

192

py

Python

ramda/all_pass.py

Rafi993/pyramda

4fa7fe28d5eaa798b702d28bdd3948515cb88f48

[ "MIT" ]

1

2018-08-05T04:41:14.000Z

ramda/all_pass.py

Rafi993/pyramda

4fa7fe28d5eaa798b702d28bdd3948515cb88f48

[ "MIT" ]

3

2018-06-12T18:42:05.000Z

2018-07-23T11:50:25.000Z

ramda/all_pass.py

slavaGanzin/pyramda

4fa7fe28d5eaa798b702d28bdd3948515cb88f48

[ "MIT" ]

null

from ramda.curry import curry from ramda.always import always from ramda.reduce import reduce from .both import both @curry def all_pass(ps, v): return reduce(both, always(True), ps)(v)

19.2

44

0.755208

32

192

4.5

0.4375

0.1875

0

0.15625

192

9

45

21.333333

0.888889

0

1

0.142857

false

0.142857

0.571429

0.142857

0.857143

0

null

0

1

0

null

0

1

0

4

dd29b0acaa6476aaf372568a2878b14413abebc8

76

py

Python

examples/turbogears/depotexample/controllers/__init__.py

tcmike/depot

f2999ab18f8bf3f5e6f0c3c3b058b9bd8d936d65

[ "MIT" ]

128

2015-02-18T05:53:25.000Z

2022-03-02T10:23:27.000Z

examples/turbogears/depotexample/controllers/__init__.py

tcmike/depot

f2999ab18f8bf3f5e6f0c3c3b058b9bd8d936d65

[ "MIT" ]

68

2015-03-19T17:04:24.000Z

2022-01-13T19:38:34.000Z

examples/turbogears/depotexample/controllers/__init__.py

tcmike/depot

f2999ab18f8bf3f5e6f0c3c3b058b9bd8d936d65

[ "MIT" ]

42

2015-04-24T15:05:42.000Z

2022-01-13T18:23:17.000Z

# -*- coding: utf-8 -*- """Controllers for the depotexample application."""

25.333333

51

0.657895

8

76

6.25

1

0

0.015152

0.131579

76

2

52

38

0.742424

0.894737

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

dd47b2decdba037245199ce13ec873ea347568f4

595

py

Python

microcosm/errors.py

Sinon/microcosm

e8bab13b19e873b9b097968feeb8c3cb84bca045

[ "Apache-2.0" ]

30

2016-04-05T18:37:57.000Z

2021-06-21T18:58:43.000Z

microcosm/errors.py

Sinon/microcosm

e8bab13b19e873b9b097968feeb8c3cb84bca045

[ "Apache-2.0" ]

24

2016-03-08T17:33:00.000Z

2020-04-26T06:55:48.000Z

microcosm/errors.py

Sinon/microcosm

e8bab13b19e873b9b097968feeb8c3cb84bca045

[ "Apache-2.0" ]

6

2016-12-19T22:39:20.000Z

2020-11-15T15:27:58.000Z

""" Error types """ class AlreadyBoundError(Exception): """ Raised if a factory is already bound to a name. """ pass class CyclicGraphError(Exception): """ Raised if a graph has a cycle. """ pass class LockedGraphError(Exception): """ Raised when attempting to create a component in a locked object graph. """ pass class NotBoundError(Exception): """ Raised if not factory is bound to a name. """ pass class ValidationError(Exception): """ Raised if a configuration value fails validation. """ pass

13.222222

74

0.620168

67

595

5.507463

0.507463

0.203252

0.184282

0.146341

0.113821

0

0.285714

595

44

75

13.522727

0.868235

0.42521

0

0.5

0

1

0

true

0.5

0

0.5

0

null

1

0

null

0

1

0

4

dd6446da55c56b4177812ee8391a597ae6149fd5

102

py

Python

torchsupport/data/tensor_provider.py

bobelly/torchsupport

5aa0a04f20c193ec99310f5d6a3375d2e95e740d

[ "MIT" ]

18

2019-05-02T16:32:15.000Z

2021-04-16T09:33:54.000Z

torchsupport/data/tensor_provider.py

bobelly/torchsupport

5aa0a04f20c193ec99310f5d6a3375d2e95e740d

[ "MIT" ]

5

2019-10-14T13:46:49.000Z

2021-06-08T11:48:34.000Z

torchsupport/data/tensor_provider.py

bobelly/torchsupport

5aa0a04f20c193ec99310f5d6a3375d2e95e740d

[ "MIT" ]

12

2019-05-12T21:34:24.000Z

2021-07-15T14:14:16.000Z

import torch class TensorProvider(): def tensors(self): raise NotImplementedError("Abstract.")

17

42

0.745098

10

102

7.6

1

0

0.147059

102

5

43

20.4

0.873563

0

0.088235

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

dd6d894beb491fa0df37cfc35327a9f26a1d6002

67

py

Python

srpmod/tests.py

pvyParts/allianceauth-srp-mod

1b10910923141a6e2500f69bda67a81de172591b

[ "MIT" ]

null

srpmod/tests.py

pvyParts/allianceauth-srp-mod

1b10910923141a6e2500f69bda67a81de172591b

[ "MIT" ]

null

srpmod/tests.py

pvyParts/allianceauth-srp-mod

1b10910923141a6e2500f69bda67a81de172591b

[ "MIT" ]

3

2020-07-25T07:34:50.000Z

2022-03-09T23:31:45.000Z

from django.test import TestCase # My tests wont be going here...

16.75

32

0.746269

11

67

4.545455

1

0

0.179104

67

4

33

16.75

0.909091

0.447761

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

dd874a091f8100a270d0cc54f0509c80ae36fbc8

259

py

Python

5.3 Break And Continue/5.3.7 Higher Lower.py

ferrerinicolas/python_samples

107cead4fbee30b275a5e2be1257833129ce5e46

[ "MIT" ]

null

5.3 Break And Continue/5.3.7 Higher Lower.py

ferrerinicolas/python_samples

107cead4fbee30b275a5e2be1257833129ce5e46

[ "MIT" ]

null

5.3 Break And Continue/5.3.7 Higher Lower.py

ferrerinicolas/python_samples

107cead4fbee30b275a5e2be1257833129ce5e46

[ "MIT" ]

null

magic_number = 3 #Your code here... while True: guess = int(input("Enter a guess: ")) if guess == magic_number: print("You got it!") break elif guess > magic_number: print("Too high!") else: print("Too low!")

18.5

41

0.552124

34

259

4.117647

0.705882

0.235714

0.228571

0.3

0

0.005618

0.312741

259

13

42

19.923077

0.780899

0.065637

0

0.179167

0

0.076923

0

1

0

false

0

0.3

0

null

1

0

null

0

1

0

4

dd88c1f54c7221aaa4eb0299524e7b89a8020b65

82

py

Python

aiopenapi3/v31/__init__.py

commonism/aiopenapi3

3efb0e65fdcdce7408c888df3f4adbad8abb4359

[ "BSD-3-Clause" ]

null

aiopenapi3/v31/__init__.py

commonism/aiopenapi3

3efb0e65fdcdce7408c888df3f4adbad8abb4359

[ "BSD-3-Clause" ]

7

2022-01-03T19:48:06.000Z

2022-03-14T22:01:57.000Z

aiopenapi3/v31/__init__.py

commonism/aiopenapi3

3efb0e65fdcdce7408c888df3f4adbad8abb4359

[ "BSD-3-Clause" ]

null

from .schemas import Schema from .root import Root from .general import Reference

20.5

30

0.817073

12

82

5.583333

0.583333

0

0.146341

82

3

31

27.333333

0.957143

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

06ee169210e443092afc4583cc4acdd6c11a0c6f

94

py

Python

test_project/test_image/apps.py

francescortiz/image

0abda89644c9c489bdfec91acd45d8f6cacca7e7

[ "BSD-3-Clause" ]

96

2015-02-06T18:35:05.000Z

2022-03-25T17:34:45.000Z

test_project/test_image/apps.py

francescortiz/image

0abda89644c9c489bdfec91acd45d8f6cacca7e7

[ "BSD-3-Clause" ]

9

2015-03-27T19:57:28.000Z

2020-09-11T02:02:39.000Z

test_project/test_image/apps.py

francescortiz/image

0abda89644c9c489bdfec91acd45d8f6cacca7e7

[ "BSD-3-Clause" ]

26

2015-05-13T08:57:34.000Z

2021-03-22T14:11:59.000Z

from django.apps import AppConfig class TestImageConfig(AppConfig): name = 'test_image'

15.666667

33

0.765957

11

94

6.454545

0.909091

0

0.159574

94

5

34

18.8

0.898734

0

0.106383

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6614577bf08e9c5aa745097c1a41c442572ea4c5

285

py

Python

src/oscar/apps/dashboard/communications/config.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

src/oscar/apps/dashboard/communications/config.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

src/oscar/apps/dashboard/communications/config.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class CommunicationsDashboardConfig(AppConfig): label = 'communications_dashboard' name = 'oscar.apps.dashboard.communications' verbose_name = _('Communications dashboard')

31.666667

56

0.775439

28

285

7.714286

0.642857

0.092593

0

0.154386

285

8

57

35.625

0.896266

0

0.299639

0.212996

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

661682d22f5d95e0fb78f57c0ef5b1bf46bd9696

28

py

Python

src/__init__.py

klein203/Python-Learning

98ac61eb439e516198dd9cdf0dd9255e2541ea9b

[ "MIT" ]

null

src/__init__.py

klein203/Python-Learning

98ac61eb439e516198dd9cdf0dd9255e2541ea9b

[ "MIT" ]

null

src/__init__.py

klein203/Python-Learning

98ac61eb439e516198dd9cdf0dd9255e2541ea9b

[ "MIT" ]

null

''' @author: xusheng '''

7

17

0.464286

2

28

6.5

1

0

0.25

28

3

18

9.333333

0.619048

0.571429

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

b074a5a9eda921b7fe9787f5db7bb9a54517f9f3

201

py

Python

design-patterns/single-container/math_app.py

pwcz/docker-learning

f2f4eb76e41cd10c4b61813760eedcc2ed2c34ce

[ "MIT" ]

null

design-patterns/single-container/math_app.py

pwcz/docker-learning

f2f4eb76e41cd10c4b61813760eedcc2ed2c34ce

[ "MIT" ]

null

design-patterns/single-container/math_app.py

pwcz/docker-learning

f2f4eb76e41cd10c4b61813760eedcc2ed2c34ce

[ "MIT" ]

null

import flask api = flask.Flask(__name__) @api.route('/', methods=['GET']) def home(): return "<h1>Test API</h1>" @api.route("/power/<int:number>") def power(number): return str(number**2)

14.357143

33

0.626866

29

201

4.206897

0.586207

0.131148

0

0.017544

0.149254

201

13

34

15.461538

0.695906

0

0.199005

0

1

0.25

false

0

0.125

0.25

0.625

0

1

0

null

0

null

0

1

0

1

0

4

b076765b64dbb0f3a42e016d5a8c9588944e4176

9,296

py

Python

src/QueueTest.py

fuzziqersoftware/sharedstructures

23471fc24484b472e4b2399d7c64c1071d12c641

[ "MIT" ]

21

2016-11-30T06:40:04.000Z

2022-03-23T13:16:53.000Z

src/QueueTest.py

fuzziqersoftware/sharedstructures

23471fc24484b472e4b2399d7c64c1071d12c641

[ "MIT" ]

null

src/QueueTest.py

fuzziqersoftware/sharedstructures

23471fc24484b472e4b2399d7c64c1071d12c641

[ "MIT" ]

3

2018-02-21T12:25:08.000Z

2021-12-16T06:14:05.000Z

import os import subprocess import sys import time import sharedstructures POOL_NAME_PREFIX = "QueueTest-py-pool-" ALLOCATOR_TYPES = ('simple', 'logarithmic') def get_current_process_lsof(): return subprocess.check_output(['lsof', '-p', str(os.getpid())]) def q_push(q, front, item, raw=False): if front: q.push_front(item, raw=raw) else: q.push_back(item, raw=raw) def q_pop(q, front, raw=False): if front: return q.pop_front(raw=raw) else: return q.pop_back(raw=raw) def run_basic_test(allocator_type): print('-- [%s] basic' % allocator_type) before_lsof_count = len(get_current_process_lsof().splitlines()) q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) assert len(q) == 0 assert q.bytes() == 0 def test_queue(q, reverse): print('-- [%s] %s queue operation' % (allocator_type, "reverse" if reverse else "forward")) q_push(q, reverse, b"v1") assert 1 == len(q) q_push(q, reverse, "val2") assert 2 == len(q) q_push(q, reverse, 47) assert 3 == len(q) q_push(q, reverse, None) assert 4 == len(q) q_push(q, reverse, (None, False, True, 37, 2.0, ['lol', 'hax'], {1: 2})) assert 5 == len(q) assert b"v1" == q_pop(q, not reverse) assert 4 == len(q) assert "val2" == q_pop(q, not reverse) assert 3 == len(q) assert 47 == q_pop(q, not reverse) assert 2 == len(q) assert None == q_pop(q, not reverse) assert 1 == len(q) assert (None, False, True, 37, 2.0, ['lol', 'hax'], {1: 2}) == q_pop(q, not reverse) assert 0 == len(q) assert q.bytes() == 0 try: q_pop(q, not reverse) assert False except IndexError: pass test_queue(q, False) test_queue(q, True) def test_stack(q, front): print("-- [%s] %s stack operation" % (allocator_type, "front" if front else "back")) q_push(q, front, b"v1") assert 1 == len(q) q_push(q, front, "val2") assert 2 == len(q) q_push(q, front, 47) assert 3 == len(q) q_push(q, front, None) assert 4 == len(q) q_push(q, front, (None, False, True, 37, 2.0, ['lol', 'hax'], {1: 2})) assert 5 == len(q) assert (None, False, True, 37, 2.0, ['lol', 'hax'], {1: 2}) == q_pop(q, front) assert 4 == len(q) assert None == q_pop(q, front) assert 3 == len(q) assert 47 == q_pop(q, front) assert 2 == len(q) assert "val2" == q_pop(q, front) assert 1 == len(q) assert b"v1" == q_pop(q, front) assert 0 == len(q) assert q.bytes() == 0 try: q_pop(q, front) assert False except IndexError: pass test_stack(q, False) test_stack(q, True) del q # this should unmap the shared memory pool and close the fd sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) # make sure we didn't leak an fd assert before_lsof_count == len(get_current_process_lsof().splitlines()) def run_raw_test(allocator_type): print('-- [%s] basic' % allocator_type) before_lsof_count = len(get_current_process_lsof().splitlines()) q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) assert len(q) == 0 assert q.bytes() == 0 def test_queue(q, reverse): print('-- [%s] %s queue operation' % (allocator_type, "reverse" if reverse else "forward")) try: q_push(q, reverse, None, raw=True) assert False except TypeError: pass assert 0 == len(q) q_push(q, reverse, b"v1", raw=True) assert 1 == len(q) q_push(q, reverse, b"v2", raw=True) assert 2 == len(q) q_push(q, reverse, b"v3", raw=True) assert 3 == len(q) assert b"v1" == q_pop(q, not reverse, raw=True) assert 2 == len(q) assert b"v2" == q_pop(q, not reverse, raw=True) assert 1 == len(q) assert b"v3" == q_pop(q, not reverse, raw=True) assert 0 == len(q) assert q.bytes() == 0 try: q_pop(q, not reverse, raw=True) assert False except IndexError: pass test_queue(q, False) test_queue(q, True) def test_stack(q, front): print("-- [%s] %s stack operation" % (allocator_type, "front" if front else "back")) try: q_push(q, front, None, raw=True) assert False except TypeError: pass assert 0 == len(q) q_push(q, front, b"v1", raw=True) assert 1 == len(q) q_push(q, front, b"v2", raw=True) assert 2 == len(q) q_push(q, front, b"v3", raw=True) assert 3 == len(q) assert b"v3" == q_pop(q, front, raw=True) assert 2 == len(q) assert b"v2" == q_pop(q, front, raw=True) assert 1 == len(q) assert b"v1" == q_pop(q, front, raw=True) assert 0 == len(q) assert q.bytes() == 0 try: q_pop(q, front, raw=True) assert False except IndexError: pass test_stack(q, False) test_stack(q, True) del q # this should unmap the shared memory pool and close the fd sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) # make sure we didn't leak an fd assert before_lsof_count == len(get_current_process_lsof().splitlines()) def run_concurrent_producers_test(allocator_type): print('-- [%s] concurrent producers' % allocator_type) child_pids = set() while (len(child_pids) < 8) and (0 not in child_pids): child_pids.add(os.fork()) if 0 in child_pids: # child process: generate the numbers [0, 1000) prefixed with our pid q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) pid = os.getpid() for x in range(1000): q.push_back(b'%d-%d' % (pid, x)) os._exit(0) else: # parent process: write the key, then wait for children to terminate q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) latest_value_from_process = {pid: -1 for pid in child_pids} num_failures = 0 while child_pids: try: data = q.pop_front() pid, value = data.split(b'-') pid = int(pid) value = int(value) assert pid in latest_value_from_process assert latest_value_from_process[pid] < value latest_value_from_process[pid] = value except IndexError: # queue is empty pid, exit_status = os.wait() child_pids.remove(pid) if os.WIFEXITED(exit_status) and (os.WEXITSTATUS(exit_status) == 0): print('-- [%s] child %d terminated successfully' % ( allocator_type, pid)) else: print('-- [%s] child %d failed (%d)' % ( allocator_type, pid, exit_status)) num_failures += 1 assert 0 == len(child_pids) assert 0 == num_failures def run_concurrent_consumers_test(allocator_type): print('-- [%s] concurrent consumers' % allocator_type) # initialize the queue before forking children q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) del q child_pids = set() while (len(child_pids) < 8) and (0 not in child_pids): child_pids.add(os.fork()) if 0 in child_pids: # child process: read numbers and expect them to be in increasing order # stop when -1 is received q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) prev_value = -1 value = 0 while True: try: item = q.pop_front() value = int(item) if value == -1: break except IndexError: time.sleep(0.00001) continue assert value > prev_value prev_value = value os._exit(0) else: # parent process: push numbers [0, 10000), then wait for children q = sharedstructures.Queue(POOL_NAME_PREFIX + allocator_type, allocator_type) for v in range(10000): q.push_back(b'%d' % v) for _ in child_pids: q.push_back(b'-1') num_failures = 0 while child_pids: pid, exit_status = os.wait() child_pids.remove(pid) if os.WIFEXITED(exit_status) and (os.WEXITSTATUS(exit_status) == 0): print('-- [%s] child %d terminated successfully' % ( allocator_type, pid)) else: print('-- [%s] child %d failed (%d)' % ( allocator_type, pid, exit_status)) num_failures += 1 assert 0 == len(child_pids) assert 0 == num_failures def main(): try: for allocator_type in ALLOCATOR_TYPES: sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) run_basic_test(allocator_type) sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) run_raw_test(allocator_type) sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) run_concurrent_producers_test(allocator_type) sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) run_concurrent_consumers_test(allocator_type) print('all tests passed') return 0 finally: for allocator_type in ALLOCATOR_TYPES: sharedstructures.delete_pool(POOL_NAME_PREFIX + allocator_type) if __name__ == '__main__': sys.exit(main())

28.869565

98

0.610047

1,335

9,296

4.06367

0.123596

0.103041

0.019355

0.059355

0.815853

0.790046

0.732166

0.695853

0.64977

0.632995

0

0.021264

0.266459

9,296

321

99

28.959502

0.774307

0.057121

0

0.618474

0

0.062974

0

0.293173

1

0.048193

false

0.028112

0.02008

0.004016

0.084337

0.052209

0

null

0

1

0

1

0

null

0

4

b0878be9e684e61d99a80d32086d7c4ecf7e7fa0

1,076

py

Python

gtsfm/feature_extractor.py

swershrimpy/gtsfm

8d301eb3ef9172345a1ac1369fd4e19764d28946

[ "Apache-2.0" ]

122

2021-02-07T23:01:58.000Z

2022-03-30T13:10:35.000Z

gtsfm/feature_extractor.py

swershrimpy/gtsfm

8d301eb3ef9172345a1ac1369fd4e19764d28946

[ "Apache-2.0" ]

273

2021-01-30T16:45:26.000Z

2022-03-16T15:02:33.000Z

gtsfm/feature_extractor.py

swershrimpy/gtsfm

8d301eb3ef9172345a1ac1369fd4e19764d28946

[ "Apache-2.0" ]

13

2021-03-12T03:01:27.000Z

2022-03-11T03:16:54.000Z

"""Extracts features and their descriptors from a single image. Authors: Ayush Baid, John Lambert """ from typing import Tuple from dask.delayed import Delayed from gtsfm.frontend.detector_descriptor.detector_descriptor_base import DetectorDescriptorBase class FeatureExtractor: """Wrapper for running detection and description on each image.""" def __init__(self, detector_descriptor: DetectorDescriptorBase) -> None: """Initializes the detector-descriptor Args: detector_descriptor: the joint detector-descriptor to use. """ self.detector_descriptor = detector_descriptor def create_computation_graph(self, image_graph: Delayed) -> Tuple[Delayed, Delayed]: """Given an image, create detection and descriptor generation tasks Args: image_graph: image wrapped up in Delayed Returns: Delayed object for detected keypoints. Delayed object for corr. descriptors. """ return self.detector_descriptor.create_computation_graph(image_graph)

31.647059

94

0.716543

117

1,076

6.42735

0.512821

0.215426

0.087766

0.095745

0

0.22026

1,076

33

95

32.606061

0.896305

0.44052

0

1

0.25

false

0

0.375

0

0.875

0

null

1

0

null

0

1

0

1

0

1

0

4

b088e3d6ca12d2d57e5fea723a2db90996f8cf08

474

py

Python

packages/micropython-official/v1.9.4/esp32/stubs/micropython.py

TheVinhLuong102/micropy-stubs

55ff1773008f7c4dfc3d70a403986486226eb6b3

[ "MIT" ]

18

2019-07-11T13:31:09.000Z

2022-01-27T06:38:40.000Z

packages/micropython-official/v1.9.4/esp32/stubs/micropython.py

TheVinhLuong102/micropy-stubs

55ff1773008f7c4dfc3d70a403986486226eb6b3

[ "MIT" ]

9

2019-09-01T21:44:49.000Z

2022-02-04T20:55:08.000Z

packages/micropython-official/v1.9.4/esp32/stubs/micropython.py

TheVinhLuong102/micropy-stubs

55ff1773008f7c4dfc3d70a403986486226eb6b3

[ "MIT" ]

6

2019-10-08T05:31:21.000Z

2021-04-22T10:21:01.000Z

""" Module: 'micropython' on esp32 1.9.4 """ # MCU: (sysname='esp32', nodename='esp32', release='1.9.4', version='v1.9.4 on 2018-05-11', machine='ESP32 module with ESP32') # Stubber: 1.2.0 def alloc_emergency_exception_buf(): pass def const(): pass def heap_lock(): pass def heap_unlock(): pass def kbd_intr(): pass def mem_info(): pass def opt_level(): pass def qstr_info(): pass def schedule(): pass def stack_use(): pass

13.166667

126

0.628692

73

474

3.945205

0.561644

0.21875

0.020833

0

0.080645

0.21519

474

35

127

13.542857

0.693548

0.373418

0

0.5

0

1

0.5

true

0.5

0

0.5

0

null

1

0

null

0

1

0

4

b0a8026693675c2a22565d6daa5748a1dba33799

269

py

Python

tests/test_import.py

mace-space/histLM

3f6460f6fad703feb99e48f244396f8ef007c582

[ "MIT" ]

6

2021-05-24T12:40:30.000Z

2022-02-09T11:04:07.000Z

tests/test_import.py

mace-space/histLM

3f6460f6fad703feb99e48f244396f8ef007c582

[ "MIT" ]

1

2021-09-30T09:11:15.000Z

tests/test_import.py

mace-space/histLM

3f6460f6fad703feb99e48f244396f8ef007c582

[ "MIT" ]

19

2021-06-03T12:25:42.000Z

2021-07-30T13:54:21.000Z

import pytest def test_import(): from transformers import pipeline from flair.embeddings import FlairEmbeddings from flair.data import Sentence import flair, torch from gensim.models import FastText from gensim.models import Word2Vec

16.8125

48

0.739777

32

269

6.1875

0.53125

0.090909

0.161616

0.222222

0

0.004831

0.230483

269

15

49

17.933333

0.951691

0

1

0.125

true

0

1

0

1.125

0

null

0

1

0

null

0

1

0

1

0

1

0

4

b0bc973f2a51a87bf18f8614c9fcb313b63606ab

62

py

Python

wsgi.py

yoophi/flask-login-sample

ae76e2c396896f99b1ba8add44c752d5abc22c01

[ "MIT" ]

null

wsgi.py

yoophi/flask-login-sample

ae76e2c396896f99b1ba8add44c752d5abc22c01

[ "MIT" ]

null

wsgi.py

yoophi/flask-login-sample

ae76e2c396896f99b1ba8add44c752d5abc22c01

[ "MIT" ]

null

from flask_login_sample import create_app app = create_app()

15.5

41

0.822581

10

62

4.7

0.7

0.382979

0

0.129032

62

3

42

20.666667

0.87037

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

b0d735aa8ad231893e317bbee17f3854072723f8

68

py

Python

tuiuiu/tuiuiuadmin/__init__.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

3

2019-08-08T09:09:35.000Z

2020-12-15T18:04:17.000Z

tuiuiu/tuiuiuadmin/__init__.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

null

tuiuiu/tuiuiuadmin/__init__.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

1

2017-09-09T20:10:40.000Z

default_app_config = 'tuiuiu.tuiuiuadmin.apps.TuiuiuAdminAppConfig'

34

67

0.867647

7

68

8.142857

1

0

0.044118

68

1

68

0.876923

0

0.647059

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

b0da6b2e0eeed2fb6296dc97922b44ec158d8b59

248

py

Python

vfmgui/fonts.py

sharkwouter/vaporos-flatpak-manager

da1dce2a806fdb51aa9366408ace50c28fbc3ff6

[ "MIT" ]

null

vfmgui/fonts.py

sharkwouter/vaporos-flatpak-manager

da1dce2a806fdb51aa9366408ace50c28fbc3ff6

[ "MIT" ]

21

2019-09-15T08:42:58.000Z

2021-08-28T16:48:54.000Z

vfmgui/fonts.py

sharkwouter/vaporos-flatpak-manager

da1dce2a806fdb51aa9366408ace50c28fbc3ff6

[ "MIT" ]

null

import pygame pygame.font.init() class Fonts: _font = pygame.font.match_font('liberationsansnarrow') print(_font) REGULAR = pygame.font.Font(_font, 64) SMALL = pygame.font.Font(_font, 32) LARGE = pygame.font.Font(_font, 96)

19.076923

58

0.689516

33

248

5

0.454545

0.290909

0.254545

0.327273

0

0.029557

0.181452

248

12

59

20.666667

0.783251

0

0.080645

0

1

0

false

0

0.125

0

0.75

0.125

0

null

1

0

null

0

1

0

4

b0e0d6df21aca22cac1fcc5be6f5d694c8c35cd9

492

py

Python

strategy/auto_spider/autospider_strategy.py

yfsoftcom/crawler

37b48285a74d587024f9f6b88de0de2f5dbc9d1d

[ "MIT" ]

null

strategy/auto_spider/autospider_strategy.py

yfsoftcom/crawler

37b48285a74d587024f9f6b88de0de2f5dbc9d1d

[ "MIT" ]

null

strategy/auto_spider/autospider_strategy.py

yfsoftcom/crawler

37b48285a74d587024f9f6b88de0de2f5dbc9d1d

[ "MIT" ]

null

import re from strategy.strategy import Strategy from strategy.parser.unknown_parser import UnknownParser from strategy.parser.autospider_parser import DefaultAutoSpiderParser class AutoSpiderStrategy(Strategy): def __init__(self, spider = None): self._spider = spider def get_parser(self, url, is_html = True, data = None, encoding = 'utf-8'): # print url return DefaultAutoSpiderParser(self._spider, encoding = encoding) def _filter(self, input): return True

27.333333

77

0.760163

59

492

6.152542

0.491525

0.099174

0

0.002427

0.162602

492

17

78

28.941176

0.878641

0.018293

0

0.010395

0

1

0.272727

false

0

0.363636

0.181818

0.909091

0

null

0

null

0

1

0

1

0

4

9ff82e1e50901d8f1404bd9895ee3c2613ee71a2

149

py

Python

multispinsys/TensorOps/__init__.py

Marcupio/SpinProgram

4d47e5e5048423ae69869a0300558e1fee809bf0

[ "Apache-2.0" ]

null

multispinsys/TensorOps/__init__.py

Marcupio/SpinProgram

4d47e5e5048423ae69869a0300558e1fee809bf0

[ "Apache-2.0" ]

null

multispinsys/TensorOps/__init__.py

Marcupio/SpinProgram

4d47e5e5048423ae69869a0300558e1fee809bf0

[ "Apache-2.0" ]

null

from . import Reduce from . import spinops from . import spintensor __all__ = ["Reduce", "spinops", "spintensor" ]

16.555556

24

0.557047

13

149

6.076923

0.461538

0.379747

0

0.348993

149

8

25

18.625

0.814433

0

0.155405

0

1

0

false

0

0.428571

0

0.428571

0

1

0

null

1

0

1

0

null

0

1

0

4

b01edffa4e178342041a6ca5d2904014575d1da9

24,276

py

Python

tests/test_agglomerative.py

leolani/cltl-face-recognition

b98e4791c9943b4a4a91d00e2ede5ead2d5fa61f

[ "MIT" ]

null

tests/test_agglomerative.py

leolani/cltl-face-recognition

b98e4791c9943b4a4a91d00e2ede5ead2d5fa61f

[ "MIT" ]

null

tests/test_agglomerative.py

leolani/cltl-face-recognition

b98e4791c9943b4a4a91d00e2ede5ead2d5fa61f

[ "MIT" ]

null

import dataclasses import unittest import numpy as np from cltl.vector_id.clusterid import ClusterIdentity @dataclasses.dataclass class TestCluster: labels_: list class TestClustering: """Cluster id is determined by the first dimension of the vector being zero.""" def fit(self, X): return TestCluster(X[:, 0] == 0) class TestAgglomerativeVectorId(unittest.TestCase): def test_empty(self): vector_id = ClusterIdentity(TestClustering(), 3) self.assertEqual((0, 3), vector_id._representations.shape) def test_add_one_dimensional(self): vector_id = ClusterIdentity(TestClustering(), 3) vector_id.add(np.array([0,3,4])) vector_id.add(np.array([0,3,4])) np.testing.assert_array_almost_equal([[0,3,4], [0,3,4]], vector_id._representations) np.testing.assert_array_equal([0,3/5,4/5], next(iter(vector_id._centroids.values()))) def test_add_first(self): vector_id = ClusterIdentity(TestClustering(), 3) vector_id.add(np.array([[0,3,4]])) np.testing.assert_array_almost_equal([[0,3,4]], vector_id._representations) np.testing.assert_array_equal([0,3/5,4/5], next(iter(vector_id._centroids.values()))) def test_add_one_cluster(self): vector_id = ClusterIdentity(TestClustering(), 3) vector_id.add(np.array([[0,3,4], [0,3,4]])) np.testing.assert_array_equal([[0,3,4], [0,3,4]], vector_id._representations) np.testing.assert_array_almost_equal([0,3/5,4/5], next(iter(vector_id._centroids.values()))) def test_add_two_clusters(self): vector_id = ClusterIdentity(TestClustering(), 3) vector_id.add(np.array([[0,3,4], [0,3,4], [5,12,0], [5,12,0]])) np.testing.assert_array_equal([[0,3,4], [0,3,4], [5,12,0], [5,12,0]], vector_id._representations) centroids = list(sorted([tuple(cent) for cent in vector_id._centroids.values()])) self.assertEqual(2, len(centroids)) np.testing.assert_array_almost_equal([0,3/5,4/5], centroids[0]) np.testing.assert_array_almost_equal([5/13,12/13,0], centroids[1]) def test_add_two_clusters_one_by_one(self): vector_id = ClusterIdentity(TestClustering(), 3) id_1 = vector_id.add(np.array([[0,3,4]])) id_2 = vector_id.add(np.array([[0,3,4]])) id_3 = vector_id.add(np.array([[5,12,0]])) id_4 = vector_id.add(np.array([[5,12,0]])) np.testing.assert_array_equal([[0,3,4], [0,3,4], [5,12,0], [5,12,0]], vector_id._representations) centroids = list(sorted([tuple(cent) for cent in vector_id._centroids.values()])) self.assertEqual(2, len(centroids)) np.testing.assert_array_almost_equal([0,3/5,4/5], centroids[0]) np.testing.assert_array_almost_equal([5/13,12/13,0], centroids[1]) self.assertEqual(id_1, id_2) self.assertEqual(id_3, id_4) self.assertNotEqual(id_1, id_3) def test_add_two_clusters_agglomerative(self): vector_id = ClusterIdentity.agglomerative(3, 0.1) id_1 = vector_id.add(np.array([[0,3,4]])) id_2 = vector_id.add(np.array([[0,3,4]])) id_3 = vector_id.add(np.array([[5,12,0]])) id_4 = vector_id.add(np.array([[5,12,0]])) np.testing.assert_array_equal([[0,3,4], [0,3,4], [5,12,0], [5,12,0]], vector_id._representations) centroids = list(sorted([tuple(cent) for cent in vector_id._centroids.values()])) self.assertEqual(2, len(centroids)) np.testing.assert_array_almost_equal([0,3/5,4/5], centroids[0]) np.testing.assert_array_almost_equal([5/13,12/13,0], centroids[1]) self.assertEqual(id_1, id_2) self.assertEqual(id_3, id_4) self.assertNotEqual(id_1, id_3) def test_add_one_dimensional_no_dim(self): vector_id = ClusterIdentity(TestClustering(), 0) vector_id.add(np.array([0,3,4])) vector_id.add(np.array([0,3,4])) np.testing.assert_array_almost_equal([[0,3,4], [0,3,4]], vector_id._representations) np.testing.assert_array_equal([0,3/5,4/5], next(iter(vector_id._centroids.values()))) def test_two_dimensional_no_dim(self): vector_id = ClusterIdentity(TestClustering(), None) vector_id.add(np.array([[0,3,4]])) vector_id.add(np.array([[0,3,4]])) np.testing.assert_array_almost_equal([[0,3,4], [0,3,4]], vector_id._representations) np.testing.assert_array_equal([0,3/5,4/5], next(iter(vector_id._centroids.values()))) def test_high_dimensional_runs_without_errors(self): vector_id = ClusterIdentity.agglomerative(0, 0.1) embeddings = np.array([[0.04033, 0.00239, 0.07055, 0.09924, -0.04310, 0.07525, -0.01110, 0.01596, 0.06416, 0.05910, -0.04483, 0.05125, -0.05855, -0.05928, -0.00403, 0.02286, 0.00968, -0.03060, -0.01531, -0.03746, 0.03748, 0.06572, 0.02293, -0.00569, -0.01466, -0.00888, -0.00632, 0.03012, 0.01382, -0.01228, 0.01191, 0.16940, 0.03387, 0.02397, 0.00903, 0.02465, 0.00205, -0.07306, 0.02680, -0.02877, 0.02359, 0.04737, -0.04135, -0.05056, -0.01978, -0.01763, 0.03069, 0.00032, -0.08090, 0.00094, -0.00586, 0.04093, 0.02771, 0.02459, 0.06944, 0.00071, -0.03708, -0.04547, -0.10318, 0.05844, 0.05309, 0.01828, -0.03179, -0.03322, -0.00485, -0.00210, -0.04818, 0.00546, 0.01380, -0.03014, 0.02184, 0.02099, 0.06900, 0.02351, -0.01536, -0.01016, -0.05433, 0.08255, -0.04285, 0.05843, -0.08229, 0.00036, 0.02491, -0.02762, 0.00482, -0.12327, -0.03334, -0.03007, 0.02016, -0.05876, 0.00068, -0.09427, -0.01258, -0.04339, 0.03018, 0.00575, 0.04831, -0.03926, 0.10413, -0.03389, 0.06211, 0.01196, -0.02751, -0.00988, 0.00415, -0.06509, -0.00703, -0.06321, 0.07341, -0.05424, -0.01668, 0.00818, -0.00458, 0.00525, -0.03502, 0.06170, 0.01012, 0.00049, -0.01249, -0.02000, -0.01534, 0.10848, -0.02393, 0.02286, 0.07738, 0.08010, -0.01400, 0.02722, -0.00033, -0.02480, 0.05482, -0.01097, 0.11494, 0.04828, -0.01827, 0.00134, -0.00749, 0.02994, 0.02773, 0.04519, -0.02475, 0.05796, 0.05050, 0.04872, -0.01276, -0.02734, -0.04033, 0.01013, 0.00919, -0.02973, 0.04465, 0.00021, 0.05651, 0.09445, -0.01230, -0.05934, -0.01845, 0.10338, 0.03501, 0.03109, 0.01558, -0.05732, 0.02712, -0.01635, -0.03739, -0.00266, -0.00319, -0.09630, -0.02313, -0.03269, -0.03144, -0.01556, 0.02806, 0.00924, -0.02912, 0.01189, 0.01406, -0.05153, -0.06128, 0.00834, -0.00868, -0.00074, -0.00389, -0.00802, -0.07939, 0.01557, 0.12182, -0.00703, -0.01017, 0.01102, 0.01944, -0.04896, -0.00338, 0.01844, -0.05962, -0.02939, -0.05335, -0.01685, 0.02968, -0.03075, -0.01733, -0.06617, 0.05483, 0.01320, -0.04760, 0.03735, 0.02410, 0.02813, -0.00811, -0.02431, -0.04025, 0.00576, 0.00117, -0.01600, 0.00689, -0.01046, -0.08528, 0.03169, -0.07314, 0.03689, 0.01609, 0.00001, -0.00072, -0.00448, 0.05270, -0.00982, 0.04349, -0.09122, -0.04947, -0.01843, -0.03496, -0.03000, 0.01752, 0.09247, 0.02540, 0.06841, 0.06352, -0.01256, 0.02712, -0.04180, 0.06271, 0.04539, 0.00945, 0.07932, -0.01480, 0.03554, -0.01440, 0.04069, 0.01757, 0.02244, 0.02430, -0.00831, 0.05645, 0.06505, 0.07745, 0.01845, -0.02981, -0.04835, -0.01667, -0.02113, -0.05245, 0.05671, -0.04400, -0.01225, -0.04786, 0.00103, -0.04078, -0.08605, -0.00496, -0.04065, 0.04748, -0.00478, 0.03748, -0.04453, 0.08364, -0.04519, -0.00684, 0.05084, -0.02890, -0.00700, -0.02096, 0.04153, 0.03515, -0.01792, -0.03309, 0.05893, 0.02637, -0.00431, 0.07033, 0.00499, -0.00054, 0.05145, 0.04387, -0.02458, -0.00671, 0.03880, -0.03839, -0.02496, -0.04868, -0.01856, -0.04192, 0.00546, -0.00336, 0.00726, -0.06631, 0.00260, -0.05498, 0.02930, -0.03243, 0.03494, 0.02274, -0.07325, -0.10807, 0.02638, -0.07572, -0.02212, 0.03082, -0.00272, -0.04384, -0.04343, 0.01300, 0.04498, 0.09513, 0.01833, 0.08962, -0.03986, -0.07123, 0.03996, -0.02510, 0.00112, -0.02113, 0.04241, -0.05953, 0.08315, -0.06508, 0.06429, 0.01899, 0.01246, -0.05562, -0.00176, 0.02880, -0.02638, 0.03155, 0.01540, 0.05119, -0.00766, -0.04481, -0.01422, 0.04744, -0.12099, -0.00500, -0.04346, -0.02157, 0.01607, -0.00244, 0.02529, 0.02959, 0.00014, 0.13309, 0.08373, -0.03935, -0.00256, 0.00113, -0.01074, 0.00136, -0.01882, 0.02913, -0.01240, 0.00419, -0.00051, -0.01412, 0.04257, -0.06524, -0.00483, -0.01558, 0.02257, -0.04074, 0.00540, -0.00393, -0.06017, -0.00727, 0.04464, 0.14538, 0.03216, 0.03478, 0.02100, -0.04942, 0.01112, -0.04777, 0.04297, 0.01418, -0.07953, -0.02569, 0.01094, -0.07679, -0.00175, -0.02997, -0.04855, -0.12326, -0.00889, -0.09008, 0.05064, 0.03513, 0.06133, -0.03390, 0.01198, -0.01841, 0.02175, 0.01087, 0.03350, -0.07962, 0.02406, -0.04911, 0.01107, 0.02777, -0.07081, -0.08089, -0.00920, 0.05952, 0.03411, -0.00990, 0.01099, 0.04342, 0.01350, 0.05692, 0.01096, 0.00301, -0.03264, 0.01046, 0.02887, 0.00121, -0.00910, -0.00247, -0.01692, -0.01378, -0.02340, 0.00238, -0.11213, 0.00418, 0.04075, 0.05929, -0.03632, 0.04193, -0.05112, 0.04744, -0.05729, -0.02945, -0.01829, -0.00158, -0.03728, 0.04031, 0.02916, -0.01572, -0.03900, -0.00022, 0.02546, 0.03716, -0.04563, -0.03336, -0.03434, -0.00337, -0.01006, -0.02266, 0.07467, 0.07370, 0.00888, 0.07410, -0.00395, -0.01964, 0.04145, -0.02950, 0.01563, -0.02839, -0.00493, 0.00565, 0.01605, -0.03027, -0.02687, -0.00613, 0.04908, -0.02012, 0.01820, -0.01714, 0.08532, 0.00312, 0.03582, -0.08793, -0.08372, 0.02182, -0.02731, -0.06593, -0.04387, 0.04224, 0.02507, 0.05928, -0.02970, 0.07124, -0.06781, -0.01801, 0.03498, 0.01998, 0.03776, 0.05945, 0.07820, -0.02244, -0.07771, 0.00959, -0.06342, 0.04917, -0.02134, 0.04325, 0.03237], [0.04033, 0.00239, 0.07055, 0.09924, -0.04310, 0.07525, -0.01110, 0.01596, 0.06416, 0.05910, -0.04483, 0.05125, -0.05855, -0.05928, -0.00403, 0.02286, 0.00968, -0.03060, -0.01531, -0.03746, 0.03748, 0.06572, 0.02293, -0.00569, -0.01466, -0.00888, -0.00632, 0.03012, 0.01382, -0.01228, 0.01191, 0.16940, 0.03387, 0.02397, 0.00903, 0.02465, 0.00205, -0.07306, 0.02680, -0.02877, 0.02359, 0.04737, -0.04135, -0.05056, -0.01978, -0.01763, 0.03069, 0.00032, -0.08090, 0.00094, -0.00586, 0.04093, 0.02771, 0.02459, 0.06944, 0.00071, -0.03708, -0.04547, -0.10318, 0.05844, 0.05309, 0.01828, -0.03179, -0.03322, -0.00485, -0.00210, -0.04818, 0.00546, 0.01380, -0.03014, 0.02184, 0.02099, 0.06900, 0.02351, -0.01536, -0.01016, -0.05433, 0.08255, -0.04285, 0.05843, -0.08229, 0.00036, 0.02491, -0.02762, 0.00482, -0.12327, -0.03334, -0.03007, 0.02016, -0.05876, 0.00068, -0.09427, -0.01258, -0.04339, 0.03018, 0.00575, 0.04831, -0.03926, 0.10413, -0.03389, 0.06211, 0.01196, -0.02751, -0.00988, 0.00415, -0.06509, -0.00703, -0.06321, 0.07341, -0.05424, -0.01668, 0.00818, -0.00458, 0.00525, -0.03502, 0.06170, 0.01012, 0.00049, -0.01249, -0.02000, -0.01534, 0.10848, -0.02393, 0.02286, 0.07738, 0.08010, -0.01400, 0.02722, -0.00033, -0.02480, 0.05482, -0.01097, 0.11494, 0.04828, -0.01827, 0.00134, -0.00749, 0.02994, 0.02773, 0.04519, -0.02475, 0.05796, 0.05050, 0.04872, -0.01276, -0.02734, -0.04033, 0.01013, 0.00919, -0.02973, 0.04465, 0.00021, 0.05651, 0.09445, -0.01230, -0.05934, -0.01845, 0.10338, 0.03501, 0.03109, 0.01558, -0.05732, 0.02712, -0.01635, -0.03739, -0.00266, -0.00319, -0.09630, -0.02313, -0.03269, -0.03144, -0.01556, 0.02806, 0.00924, -0.02912, 0.01189, 0.01406, -0.05153, -0.06128, 0.00834, -0.00868, -0.00074, -0.00389, -0.00802, -0.07939, 0.01557, 0.12182, -0.00703, -0.01017, 0.01102, 0.01944, -0.04896, -0.00338, 0.01844, -0.05962, -0.02939, -0.05335, -0.01685, 0.02968, -0.03075, -0.01733, -0.06617, 0.05483, 0.01320, -0.04760, 0.03735, 0.02410, 0.02813, -0.00811, -0.02431, -0.04025, 0.00576, 0.00117, -0.01600, 0.00689, -0.01046, -0.08528, 0.03169, -0.07314, 0.03689, 0.01609, 0.00001, -0.00072, -0.00448, 0.05270, -0.00982, 0.04349, -0.09122, -0.04947, -0.01843, -0.03496, -0.03000, 0.01752, 0.09247, 0.02540, 0.06841, 0.06352, -0.01256, 0.02712, -0.04180, 0.06271, 0.04539, 0.00945, 0.07932, -0.01480, 0.03554, -0.01440, 0.04069, 0.01757, 0.02244, 0.02430, -0.00831, 0.05645, 0.06505, 0.07745, 0.01845, -0.02981, -0.04835, -0.01667, -0.02113, -0.05245, 0.05671, -0.04400, -0.01225, -0.04786, 0.00103, -0.04078, -0.08605, -0.00496, -0.04065, 0.04748, -0.00478, 0.03748, -0.04453, 0.08364, -0.04519, -0.00684, 0.05084, -0.02890, -0.00700, -0.02096, 0.04153, 0.03515, -0.01792, -0.03309, 0.05893, 0.02637, -0.00431, 0.07033, 0.00499, -0.00054, 0.05145, 0.04387, -0.02458, -0.00671, 0.03880, -0.03839, -0.02496, -0.04868, -0.01856, -0.04192, 0.00546, -0.00336, 0.00726, -0.06631, 0.00260, -0.05498, 0.02930, -0.03243, 0.03494, 0.02274, -0.07325, -0.10807, 0.02638, -0.07572, -0.02212, 0.03082, -0.00272, -0.04384, -0.04343, 0.01300, 0.04498, 0.09513, 0.01833, 0.08962, -0.03986, -0.07123, 0.03996, -0.02510, 0.00112, -0.02113, 0.04241, -0.05953, 0.08315, -0.06508, 0.06429, 0.01899, 0.01246, -0.05562, -0.00176, 0.02880, -0.02638, 0.03155, 0.01540, 0.05119, -0.00766, -0.04481, -0.01422, 0.04744, -0.12099, -0.00500, -0.04346, -0.02157, 0.01607, -0.00244, 0.02529, 0.02959, 0.00014, 0.13309, 0.08373, -0.03935, -0.00256, 0.00113, -0.01074, 0.00136, -0.01882, 0.02913, -0.01240, 0.00419, -0.00051, -0.01412, 0.04257, -0.06524, -0.00483, -0.01558, 0.02257, -0.04074, 0.00540, -0.00393, -0.06017, -0.00727, 0.04464, 0.14538, 0.03216, 0.03478, 0.02100, -0.04942, 0.01112, -0.04777, 0.04297, 0.01418, -0.07953, -0.02569, 0.01094, -0.07679, -0.00175, -0.02997, -0.04855, -0.12326, -0.00889, -0.09008, 0.05064, 0.03513, 0.06133, -0.03390, 0.01198, -0.01841, 0.02175, 0.01087, 0.03350, -0.07962, 0.02406, -0.04911, 0.01107, 0.02777, -0.07081, -0.08089, -0.00920, 0.05952, 0.03411, -0.00990, 0.01099, 0.04342, 0.01350, 0.05692, 0.01096, 0.00301, -0.03264, 0.01046, 0.02887, 0.00121, -0.00910, -0.00247, -0.01692, -0.01378, -0.02340, 0.00238, -0.11213, 0.00418, 0.04075, 0.05929, -0.03632, 0.04193, -0.05112, 0.04744, -0.05729, -0.02945, -0.01829, -0.00158, -0.03728, 0.04031, 0.02916, -0.01572, -0.03900, -0.00022, 0.02546, 0.03716, -0.04563, -0.03336, -0.03434, -0.00337, -0.01006, -0.02266, 0.07467, 0.07370, 0.00888, 0.07410, -0.00395, -0.01964, 0.04145, -0.02950, 0.01563, -0.02839, -0.00493, 0.00565, 0.01605, -0.03027, -0.02687, -0.00613, 0.04908, -0.02012, 0.01820, -0.01714, 0.08532, 0.00312, 0.03582, -0.08793, -0.08372, 0.02182, -0.02731, -0.06593, -0.04387, 0.04224, 0.02507, 0.05928, -0.02970, 0.07124, -0.06781, -0.01801, 0.03498, 0.01998, 0.03776, 0.05945, 0.07820, -0.02244, -0.07771, 0.00959, -0.06342, 0.04917, -0.02134, 0.04325, 0.03237], [0.02892, 0.01239, 0.06904, 0.10118, -0.02539, 0.07344, -0.00923, 0.02611, 0.06155, 0.06609, -0.04307, 0.05594, -0.05395, -0.05007, 0.00031, 0.03520, -0.00577, -0.02814, -0.00269, -0.04223, 0.06196, 0.06396, 0.02535, 0.00702, -0.02523, -0.01090, -0.02258, 0.02856, 0.02846, -0.00285, 0.00963, 0.16410, 0.02590, 0.02256, 0.00615, 0.01398, 0.02125, -0.08144, 0.02230, -0.03225, 0.03765, 0.03224, -0.04608, -0.04299, -0.01251, -0.02514, 0.02386, 0.00573, -0.06156, -0.00639, 0.00604, 0.04942, 0.02815, 0.03745, 0.05497, 0.00174, -0.05225, -0.03044, -0.10221, 0.07933, 0.05343, 0.00353, -0.03898, -0.02526, 0.00189, 0.00410, -0.04996, -0.00231, 0.01187, -0.03422, 0.02346, 0.01522, 0.06910, 0.01348, 0.00128, -0.00886, -0.04078, 0.08003, -0.05794, 0.05112, -0.06415, -0.00686, 0.03857, -0.03015, 0.00311, -0.12569, -0.02077, -0.03448, 0.01948, -0.05612, 0.01959, -0.07930, -0.03030, -0.04492, 0.01647, 0.02214, 0.05075, -0.02099, 0.11370, -0.03972, 0.06092, 0.02521, -0.02703, -0.01003, 0.00595, -0.08890, -0.00262, -0.04979, 0.08475, -0.06805, -0.00140, 0.00885, -0.01290, -0.00974, -0.03571, 0.06825, 0.02018, -0.00003, 0.00120, -0.02436, -0.01846, 0.10365, -0.03352, 0.01550, 0.05997, 0.08899, 0.00082, 0.01776, 0.00896, -0.03590, 0.06514, -0.00904, 0.10284, 0.03760, -0.02353, -0.01495, -0.02716, 0.02007, 0.04145, 0.04884, -0.01825, 0.06778, 0.04925, 0.05329, -0.01801, -0.01802, -0.03471, 0.00139, 0.00840, -0.02923, 0.02716, 0.00948, 0.05660, 0.12103, -0.01066, -0.06979, -0.02736, 0.08562, 0.03934, 0.03827, 0.01491, -0.04906, 0.02268, -0.01566, -0.02556, 0.01524, 0.00295, -0.09084, -0.04112, -0.03255, -0.04540, 0.00716, 0.02494, 0.01591, -0.03283, 0.01725, 0.00914, -0.05802, -0.04675, -0.00706, -0.00547, -0.01689, -0.00232, -0.02345, -0.09448, 0.01360, 0.11957, -0.00198, -0.00295, -0.00046, 0.01409, -0.03203, 0.01677, 0.02561, -0.05951, -0.03784, -0.06084, -0.01853, 0.04854, -0.02540, -0.00405, -0.07095, 0.05765, 0.01319, -0.05088, 0.04687, 0.03290, 0.02855, -0.02171, -0.01476, -0.04762, 0.01217, 0.01038, -0.01467, 0.01835, 0.00156, -0.09282, 0.02592, -0.06296, 0.02736, 0.00032, 0.00534, -0.00784, -0.01305, 0.03847, -0.01238, 0.04436, -0.09184, -0.03949, -0.00590, -0.04203, -0.01994, 0.02481, 0.10413, 0.01734, 0.08008, 0.06446, -0.01551, 0.00897, -0.03008, 0.05995, 0.07432, -0.00044, 0.07618, -0.00964, 0.02145, -0.01426, 0.04250, 0.02899, 0.02961, 0.03156, -0.00864, 0.05388, 0.08591, 0.06232, 0.00470, -0.03393, -0.04092, 0.00506, -0.01653, -0.04799, 0.05307, -0.04500, -0.01052, -0.04031, 0.01675, -0.03941, -0.06101, -0.01497, -0.02164, 0.04749, -0.00138, 0.04757, -0.04463, 0.07097, -0.04524, -0.00669, 0.03584, -0.03499, -0.01290, -0.02871, 0.02307, 0.03487, -0.01594, -0.03183, 0.05729, 0.00549, -0.02286, 0.06479, 0.00635, -0.00541, 0.05281, 0.06490, -0.00431, 0.01079, 0.03848, -0.03457, -0.02578, -0.03751, -0.01442, -0.04553, -0.00291, 0.01023, -0.00236, -0.05831, -0.00275, -0.05826, 0.02847, -0.01855, 0.01856, 0.00722, -0.06207, -0.09809, 0.03391, -0.04967, -0.01502, 0.04573, -0.01160, -0.03362, -0.03710, 0.02103, 0.03824, 0.08679, 0.00463, 0.07986, -0.02182, -0.07972, 0.02909, -0.01727, 0.00262, -0.01641, 0.04066, -0.02770, 0.07716, -0.07818, 0.04754, 0.01946, 0.01306, -0.06755, 0.00823, 0.01056, -0.04248, 0.02747, 0.03132, 0.06666, -0.00127, -0.05665, -0.00158, 0.05879, -0.10661, -0.00518, -0.02763, -0.01107, 0.02895, 0.00237, 0.01585, 0.02414, 0.01013, 0.13103, 0.06717, -0.04798, 0.00828, -0.00906, -0.00358, 0.00184, -0.03741, 0.01852, -0.00835, -0.00087, -0.00815, -0.01999, 0.05968, -0.05872, -0.00859, -0.00531, 0.02715, -0.04705, -0.00684, -0.00925, -0.06641, -0.00791, 0.04100, 0.13947, 0.02792, 0.02961, 0.02630, -0.04625, 0.00889, -0.06984, 0.06152, 0.01818, -0.07037, -0.03451, 0.00826, -0.09336, -0.00921, -0.02133, -0.04283, -0.12100, -0.00574, -0.09671, 0.04782, 0.01671, 0.04920, -0.04150, 0.01889, 0.00443, 0.01866, 0.00136, 0.03953, -0.09029, 0.02823, -0.06941, 0.01975, 0.01669, -0.07498, -0.08415, -0.00396, 0.06438, 0.03577, -0.00241, 0.00403, 0.03149, 0.02596, 0.05991, 0.01763, -0.01346, -0.02878, 0.00782, 0.03779, 0.00240, 0.00753, -0.01187, -0.01739, -0.00959, -0.01361, 0.00142, -0.10783, -0.00972, 0.03533, 0.04468, -0.02207, 0.04387, -0.03239, 0.04154, -0.05679, -0.01492, -0.02030, -0.00074, -0.04791, 0.02151, 0.03442, -0.01083, -0.01846, 0.00382, 0.03529, 0.03504, -0.07250, -0.02562, -0.04813, -0.02211, -0.02131, -0.01206, 0.08506, 0.05903, -0.00402, 0.08577, -0.01530, -0.00867, 0.05325, -0.02096, 0.01049, -0.03004, -0.01568, 0.01337, 0.01352, -0.02663, -0.04555, -0.02050, 0.06758, -0.00345, 0.03270, -0.01304, 0.08042, 0.00325, 0.04651, -0.07734, -0.07054, 0.02896, -0.02378, -0.06576, -0.04744, 0.05630, 0.02033, 0.07144, -0.04003, 0.06372, -0.08130, -0.00083, 0.03400, 0.01527, 0.05078, 0.06392, 0.05919, -0.02696, -0.07252, -0.00300, -0.06393, 0.02744, -0.03356, 0.05106, 0.01642], [0.00301, 0.01980, 0.02526, 0.08707, -0.03825, 0.03706, 0.01231, -0.04443, 0.08058, 0.08016, -0.08023, 0.03012, -0.06987, 0.00292, -0.03454, 0.04167, -0.02099, -0.02780, -0.02799, -0.02222, 0.02216, 0.05898, -0.00420, -0.00122, 0.01617, -0.00065, 0.02156, 0.00609, 0.03158, -0.03731, -0.00867, 0.16330, 0.04699, 0.06543, 0.02812, -0.01104, 0.03131, -0.05881, 0.01563, -0.05821, 0.03758, 0.04258, -0.04367, -0.04314, -0.01046, -0.00581, 0.01848, 0.02866, -0.03920, 0.00594, 0.04909, 0.01028, 0.03971, 0.01972, 0.01572, -0.01848, -0.04765, -0.04797, -0.10060, 0.06017, 0.05142, -0.02156, 0.01637, -0.00220, -0.03862, 0.04269, -0.02313, -0.00674, 0.03153, -0.02647, 0.04231, -0.00238, 0.03962, 0.00804, 0.01426, 0.00626, -0.02581, 0.07277, -0.01288, 0.03166, -0.04249, 0.02453, 0.03942, -0.05435, 0.00365, -0.12359, -0.00762, -0.02489, 0.01503, -0.03804, 0.01482, -0.09906, 0.00476, -0.03890, 0.00833, 0.02092, -0.00591, -0.00252, 0.08603, -0.03639, 0.05676, 0.00623, -0.00397, -0.05091, 0.02681, -0.02545, -0.01398, -0.02580, 0.07699, -0.05578, -0.01785, 0.00267, 0.01723, -0.00974, -0.01544, 0.07322, 0.02426, 0.05081, 0.01736, -0.04235, 0.01082, 0.04822, -0.00495, 0.02194, 0.05785, 0.08306, 0.02316, 0.03842, 0.00931, -0.04812, 0.02690, -0.04104, 0.12348, 0.04883, 0.01535, -0.02456, -0.00945, 0.06651, 0.05242, 0.03146, 0.01042, 0.05959, 0.02539, 0.03886, -0.00392, -0.02041, -0.03199, 0.00664, -0.01002, 0.00890, 0.08169, 0.02374, 0.05006, 0.09092, -0.01983, -0.06332, -0.02515, 0.08685, 0.05741, 0.01545, 0.04516, -0.01312, -0.00512, 0.02489, -0.01729, 0.02650, 0.03809, -0.07181, 0.00551, 0.00877, -0.04692, 0.03147, 0.02151, -0.00672, -0.03295, 0.00956, 0.00217, -0.04699, -0.06473, 0.01351, -0.00546, -0.00511, -0.03593, -0.00472, -0.07508, 0.01174, 0.08194, 0.03873, -0.00886, -0.00735, -0.02901, -0.03082, 0.03133, 0.02646, -0.04729, -0.01440, -0.02492, -0.02171, 0.07006, -0.03921, -0.01942, -0.06808, 0.07346, 0.02709, -0.04486, 0.03182, -0.01028, 0.02593, -0.04363, -0.00615, -0.01876, -0.01552, -0.03234, -0.00091, 0.00516, -0.01500, -0.07374, 0.05309, -0.05647, 0.09266, 0.00455, -0.02981, -0.01817, 0.02838, 0.07184, 0.00870, 0.00279, -0.09360, -0.03429, -0.04415, -0.08157, -0.00425, 0.00626, 0.07986, -0.00747, 0.05306, 0.05180, -0.05034, 0.01147, -0.04784, 0.04976, 0.05669, 0.00419, 0.08467, 0.02329, 0.00468, -0.07050, 0.07885, 0.01272, 0.01100, 0.01521, -0.03520, 0.03102, 0.05072, 0.02512, -0.01778, -0.03262, -0.05039, -0.04319, -0.01440, -0.04749, 0.04833, -0.08283, -0.03095, -0.05953, 0.05053, -0.03244, -0.05661, -0.00939, 0.00122, 0.06019, 0.04283, 0.07068, -0.04271, 0.07133, -0.05971, -0.03041, 0.01428, -0.02028, -0.01436, 0.01745, 0.01094, -0.00028, 0.00494, -0.09653, 0.07037, 0.01450, -0.05608, 0.07973, 0.04807, 0.03536, 0.02571, 0.04628, 0.00286, 0.02988, 0.03103, -0.00065, -0.03346, -0.04815, -0.06137, -0.01851, 0.02752, -0.02768, -0.00967, -0.02525, 0.00870, -0.05806, 0.03590, -0.03904, -0.01950, -0.01229, -0.07079, -0.04694, 0.02228, -0.07656, -0.01553, 0.04063, 0.02056, -0.02595, -0.00061, 0.00301, 0.06353, 0.06846, 0.05541, 0.10408, 0.00581, -0.11689, 0.04512, 0.00255, -0.03881, -0.04250, 0.10198, -0.05177, 0.11499, -0.07948, 0.06238, 0.01868, 0.05451, -0.08599, 0.03904, 0.01109, -0.02391, 0.01331, 0.00244, 0.04326, -0.00714, -0.04692, -0.01947, 0.03226, -0.10518, 0.02198, -0.06559, -0.02566, 0.03266, -0.03576, 0.01706, 0.01023, 0.01434, 0.13100, 0.02553, -0.04959, -0.01304, -0.01013, -0.00162, 0.01094, -0.00203, 0.03979, -0.00759, -0.00984, 0.03527, -0.05675, 0.04397, -0.07642, 0.01838, -0.01230, -0.00020, -0.03639, 0.00679, -0.03341, -0.04589, 0.01508, 0.04012, 0.11716, 0.01208, 0.03689, 0.02974, -0.04841, -0.00710, -0.04253, 0.02848, -0.01307, -0.08110, -0.03218, -0.02152, -0.04846, -0.00062, -0.00422, -0.02657, -0.13152, 0.03211, -0.08104, 0.00753, 0.00662, 0.03154, -0.03655, -0.01962, 0.00208, 0.03393, -0.00298, 0.03335, -0.08249, 0.05726, -0.02676, 0.03427, -0.00876, -0.02830, -0.07917, -0.00354, 0.05993, 0.01882, -0.02362, 0.00671, 0.01712, 0.03071, 0.08472, 0.01710, -0.01445, -0.01925, 0.01344, -0.00359, 0.02990, -0.00957, 0.00141, -0.02243, -0.04182, -0.03302, 0.00600, -0.12942, -0.02792, 0.02687, 0.06445, -0.02985, 0.04846, -0.04175, 0.06355, -0.02963, -0.04841, 0.00318, 0.00293, -0.07642, -0.00460, 0.02437, -0.01900, 0.00312, -0.01605, 0.05242, 0.03680, -0.03525, -0.05226, -0.05087, -0.02071, -0.02734, 0.01003, 0.09703, 0.03219, 0.04502, 0.03570, 0.02261, -0.02165, 0.04358, -0.05981, 0.02757, 0.02922, -0.00217, 0.00901, -0.01623, -0.00336, -0.01608, 0.00738, 0.04244, -0.00395, 0.01614, -0.02128, 0.09502, -0.02093, 0.01663, -0.08324, -0.08566, 0.00828, -0.02045, -0.03394, -0.04493, 0.06993, 0.02578, -0.01257, -0.03750, 0.06890, -0.05528, -0.04549, 0.03466, 0.05628, 0.03459, 0.06806, 0.06389, -0.04482, -0.10843, 0.00774, -0.02564, 0.00995, -0.00388, 0.02106, -0.00077]]) vector_id.add(embeddings) vector_id.add(embeddings)

192.666667

4,899

0.634289

4,825

24,276

3.156062

0.307772

0.024691

0.00591

0.024954

0.564289

0.554439

0.548923

0.541437

0

0.588406

0.122384

24,276

126

4,900

192.666667

0.126355

0.003007

0

0.593023

0

0.337209

1

0.127907

false

0

0.046512

0.011628

0.232558

0

null

0

1

0

1

0

null

0

4

b0561a8bef98272dbbce0329c3973c249eb3dd0d

269

py

Python

bireme/help/urls.py

rfdeoliveira/fi-admin

c2df084c7e79d587e2273dc222f106fa243b7f6e

[ "MIT", "Python-2.0", "Apache-2.0", "BSD-3-Clause" ]

null

bireme/help/urls.py

rfdeoliveira/fi-admin

c2df084c7e79d587e2273dc222f106fa243b7f6e

[ "MIT", "Python-2.0", "Apache-2.0", "BSD-3-Clause" ]

null

bireme/help/urls.py

rfdeoliveira/fi-admin

c2df084c7e79d587e2273dc222f106fa243b7f6e

[ "MIT", "Python-2.0", "Apache-2.0", "BSD-3-Clause" ]

null

from django.conf import settings from django.conf.urls.static import static from django.conf.urls import patterns, include, url from views import * urlpatterns = patterns('', url(r'^view/(?P<source_param>\w{0,35})/(?P<fieldname_param>\w{0,55})/?$', view_help), )

26.9

89

0.72119

42

269

4.547619

0.547619

0.157068

0.219895

0.188482

0

0.025105

0.111524

269

9

90

29.888889

0.774059

0

0.142857

0.241636

0

1

0

false

0

0.571429

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

4

b0634bcaf4117a97ca437786843d0ac25adc9bcb

57

py

Python

Dynamics/Discrete/test.py

jesusdalvarado/CalculiX-Examples

79150c1167026cb6c0dfd2bd83f8abed144dcd75

[ "MIT" ]

2

2019-03-16T09:22:21.000Z

2019-03-16T09:22:23.000Z

Dynamics/Discrete/test.py

jesusdalvarado/CalculiX-Examples

79150c1167026cb6c0dfd2bd83f8abed144dcd75

[ "MIT" ]

null

Dynamics/Discrete/test.py

jesusdalvarado/CalculiX-Examples

79150c1167026cb6c0dfd2bd83f8abed144dcd75

[ "MIT" ]

1

2019-04-26T14:35:22.000Z

#!/usr/bin/python import os os.system("cgx -b run.fbd")

11.4

27

0.666667

11

57

3.454545

0.909091

0

0.122807

57

4

28

14.25

0.76

0.280702

0

0.35

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

b06cd80d0661a4fad14051b55b76c6e62676ec9b

134

py

Python

utilities/ray.py

fietensen/raytracer

856e9dfa39d1c7fd77fd2409ce19a244af6e479c

[ "MIT" ]

null

utilities/ray.py

fietensen/raytracer

856e9dfa39d1c7fd77fd2409ce19a244af6e479c

[ "MIT" ]

null

utilities/ray.py

fietensen/raytracer

856e9dfa39d1c7fd77fd2409ce19a244af6e479c

[ "MIT" ]

null

class Ray: def __init__(self, origin, direction): self.origin = origin self.direction = direction.normalize()

26.8

47

0.634328

14

134

5.785714

0.571429

0.246914

0

0.268657

134

4

48

33.5

0.826531

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4